





from statistics import mean

import numpy as np




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     list:
  lowercase__			    =						0
  # Number of processes finished
  lowercase__			    =						0
  # Displays the finished process.
  # If it is 0, the performance is completed if it is 1, before the performance.
  lowercase__			    =						[0] * no_of_process
  # List to include calculation results
  lowercase__			    =						[0] * no_of_process

  # Sort by arrival time.
  lowercase__			    =						[burst_time[i] for i in np.argsort(_SCREAMING_SNAKE_CASE	)]
  lowercase__			    =						[process_name[i] for i in np.argsort(_SCREAMING_SNAKE_CASE	)]
  arrival_time.sort()

  while no_of_process > finished_process_count:
    lowercase__			    =						0
    while finished_process[i] == 1:
      i += 1
    if current_time < arrival_time[i]:
      lowercase__			    =						arrival_time[i]

    lowercase__			    =						0
    # Index showing the location of the process being performed
    lowercase__			    =						0
    # Saves the current response ratio.
    lowercase__			    =						0
    for i in range(0	,		_SCREAMING_SNAKE_CASE	):
      if finished_process[i] == 0 and arrival_time[i] <= current_time:
        lowercase__			    =						(burst_time[i] + (current_time - arrival_time[i])) / burst_time[
            i
        ]
      if response_ratio < temp:
        lowercase__			    =						temp
        lowercase__			    =						i

        # Calculate the turn around time
    lowercase__			    =						current_time + burst_time[loc] - arrival_time[loc]
    current_time += burst_time[loc]
    # Indicates that the process has been performed.
    lowercase__			    =						1
    # Increase finished_process_count by 1
    finished_process_count += 1

  return turn_around_time




def     __UpperCamelCase						(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE	)       ->     list:
  lowercase__			    =						[0] * no_of_process
  for i in range(0	,		_SCREAMING_SNAKE_CASE	):
    lowercase__			    =						turn_around_time[i] - burst_time[i]
  return waiting_time


if __name__ == "__main__":
      lowercase_					     =	5
      lowercase_					     =	["""A""", """B""", """C""", """D""", """E"""]
      lowercase_					     =	[1, 2, 3, 4, 5]
      lowercase_					     =	[1, 2, 3, 4, 5]

      lowercase_					     =	calculate_turn_around_time(
          process_name, arrival_time, burst_time, no_of_process
      )
      lowercase_					     =	calculate_waiting_time(
          process_name, turn_around_time, burst_time, no_of_process
      )

      print("""Process name \tArrival time \tBurst time \tTurn around time \tWaiting time""")
      for i in range(0, no_of_process):
            print(
                f'''{process_name[i]}\t\t{arrival_time[i]}\t\t{burst_time[i]}\t\t'''
                f'''{turn_around_time[i]}\t\t\t{waiting_time[i]}'''
            )

      print(f'''average waiting time : {mean(waiting_time):.5f}''')
      print(f'''average turn around time : {mean(turn_around_time):.5f}''')









class        SCREAMING_SNAKE_CASE     :  # Public class to implement a graph


   def __init__(					self    :       int    ,  a    :       int    ,  a    :       int    ,  a    :       list[list[bool]] )->     None:





     """simple docstring"""







     lowercase__			    =						row
     lowercase__			    =						col
     lowercase__			    =						graph


   def  SCREAMING_SNAKE_CASE_							(					self    :       Dict    ,  a    :       int    ,  a    :       int    ,  a    :       list[list[bool]] )->     bool:





     """simple docstring"""







     return (
         0 <= i < self.ROW
         and 0 <= j < self.COL
         and not visited[i][j]
         and self.graph[i][j]
     )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[str]    ,  a    :       int    ,  a    :       int    ,  a    :       list[list[bool]] )->     None:





     """simple docstring"""







     lowercase__			    =						[-1, -1, -1, 0, 0, 1, 1, 1]  # Coordinate order
     lowercase__			    =						[-1, 0, 1, -1, 1, -1, 0, 1]
     lowercase__			    =						True  # Make those cells visited
     for k in range(8 ):
       if self.is_safe(i + row_nbr[k]    ,  j + col_nbr[k]    ,  a ):
         self.diffs(i + row_nbr[k]    ,  j + col_nbr[k]    ,  a )


   def  SCREAMING_SNAKE_CASE_							(					self    :       List[str] )->     int:  # And finally, count all islands.





     """simple docstring"""







     lowercase__			    =						[[False for j in range(self.COL )] for i in range(self.ROW )]
     lowercase__			    =						0
     for i in range(self.ROW ):
       for j in range(self.COL ):
         if visited[i][j] is False and self.graph[i][j] == 1:
           self.diffs(a    ,  a    ,  a )
           count += 1
     return count


