





'''simple docstring'''






from statistics import mean

import numpy as np


def 					_a   (__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			=0
  # Number of processes finished
  _UpperCamelCase       			=0
  # Displays the finished process.
  # If it is 0, the performance is completed if it is 1, before the performance.
  _UpperCamelCase       			=[0] * no_of_process
  # List to include calculation results
  _UpperCamelCase       			=[0] * no_of_process

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

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

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

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

  return turn_around_time


def 					_a   (__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			=[0] * no_of_process
  for i in range(0  ,      __SCREAMING_SNAKE_CASE   ):
    _UpperCamelCase       			=turn_around_time[i] - burst_time[i]
  return waiting_time


if __name__ == "__main__":
      __lowerCamelCase						: List[str]		=   5
      __lowerCamelCase						: Tuple		=   ['A', 'B', 'C', 'D', 'E']
      __lowerCamelCase						: Any		=   [1, 2, 3, 4, 5]
      __lowerCamelCase						: Union[str, Any]		=   [1, 2, 3, 4, 5]

      __lowerCamelCase						: Optional[Any]		=   calculate_turn_around_time(
          process_name, arrival_time, burst_time, no_of_process
      )
      __lowerCamelCase						: int		=   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}""")













'''simple docstring'''






def 					_a   (__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			=[[] for _ in range(__SCREAMING_SNAKE_CASE   )]
  _UpperCamelCase       			=key - 1

  if key <= 0:
    raise ValueError('''Height of grid can\'t be 0 or negative'''   )
  if key == 1 or len(__SCREAMING_SNAKE_CASE   ) <= key:
    return input_string

  for position, character in enumerate(__SCREAMING_SNAKE_CASE   ):
    _UpperCamelCase       			=position % (lowest * 2)  # puts it in bounds
    _UpperCamelCase       			=min(__SCREAMING_SNAKE_CASE  ,      lowest * 2 - num   )  # creates zigzag pattern
    temp_grid[num].append(__SCREAMING_SNAKE_CASE   )
  _UpperCamelCase       			=[''''''.join(__SCREAMING_SNAKE_CASE   ) for row in temp_grid]
  _UpperCamelCase       			=''''''.join(__SCREAMING_SNAKE_CASE   )

  return output_string


def 					_a   (__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			=[]
  _UpperCamelCase       			=key - 1

  if key <= 0:
    raise ValueError('''Height of grid can\'t be 0 or negative'''   )
  if key == 1:
    return input_string

  _UpperCamelCase       			=[[] for _ in range(__SCREAMING_SNAKE_CASE   )]  # generates template
  for position in range(len(__SCREAMING_SNAKE_CASE   )   ):
    _UpperCamelCase       			=position % (lowest * 2)  # puts it in bounds
    _UpperCamelCase       			=min(__SCREAMING_SNAKE_CASE  ,      lowest * 2 - num   )  # creates zigzag pattern
    temp_grid[num].append('''*'''   )

  _UpperCamelCase       			=0
  for row in temp_grid:  # fills in the characters
    _UpperCamelCase       			=input_string[counter : counter + len(__SCREAMING_SNAKE_CASE   )]
    grid.append(list(__SCREAMING_SNAKE_CASE   )   )
    counter += len(__SCREAMING_SNAKE_CASE   )

  _UpperCamelCase       			=''''''  # reads as zigzag
  for position in range(len(__SCREAMING_SNAKE_CASE   )   ):
    _UpperCamelCase       			=position % (lowest * 2)  # puts it in bounds
    _UpperCamelCase       			=min(__SCREAMING_SNAKE_CASE  ,      lowest * 2 - num   )  # creates zigzag pattern
    output_string += grid[num][0]
    grid[num].pop(0   )
  return output_string


def 					_a   (__SCREAMING_SNAKE_CASE   ):


  """simple docstring"""

  _UpperCamelCase       			={}
  for key_guess in range(1  ,      len(__SCREAMING_SNAKE_CASE   )   ):  # tries every key
    _UpperCamelCase       			=decrypt(__SCREAMING_SNAKE_CASE  ,      __SCREAMING_SNAKE_CASE   )
  return results


if __name__ == "__main__":
      import doctest

      doctest.testmod()






