



from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any



class 						_snake_case :





 """simple docstring"""



 lowerCamelCase_       =     ("""_front""", """_back""", """_len""")



 @dataclass
 class 						_snake_case :





  """simple docstring"""



  lowerCamelCase_       =     None
  lowerCamelCase_       =     None
  lowerCamelCase_       =     None







 class 						_snake_case :





  """simple docstring"""



  lowerCamelCase_       =     ("""_cur""",)
  def __init__(  self		,      a   )		->							Optional[Any]:




    """simple docstring"""







    _A          =      cur
  def __iter__(  self   )		->							List[Any]:




    """simple docstring"""







    return self



  def lowercase_						(  self   )		->							Union[str, Any]:




    """simple docstring"""







    if self._cur is None:
      # finished iterating
      raise StopIteration
    _A          =      self._cur.val
    _A          =      self._cur.next_node

    return val







 def __init__(  self		,      a = None   )		->							str:




   """simple docstring"""







   _A          =      None
   _A          =      None
   _A          =      0

   if iterable is not None:
     # append every value to the deque
     for val in iterable:
       self.append(snake_case_   )
 def lowercase_						(  self		,      a   )		->							Optional[Any]:




   """simple docstring"""







   _A          =      self._Node(snake_case_		,      snake_case_		,      snake_case_   )
   if self.is_empty():
     # front = back
     _A          =      node
     _A          =      1
   else:
     # connect nodes
     _A          =      node
     _A          =      self._back
     _A          =      node  # assign new back to the new node

     self._len += 1

     # make sure there were no errors
     assert not self.is_empty(), "Error on appending value."
 def lowercase_						(  self		,      a   )		->							Tuple:




   """simple docstring"""







   _A          =      self._Node(snake_case_		,      snake_case_		,      snake_case_   )
   if self.is_empty():
     # front = back
     _A          =      node
     _A          =      1
   else:
     # connect nodes
     _A          =      self._front
     _A          =      node
     _A          =      node  # assign new front to the new node

     self._len += 1

     # make sure there were no errors
     assert not self.is_empty(), "Error on appending value."
 def lowercase_						(  self		,      a   )		->							str:




   """simple docstring"""







   for val in iterable:
     self.append(snake_case_   )
 def lowercase_						(  self		,      a   )		->							Optional[Any]:




   """simple docstring"""







   for val in iterable:
     self.appendleft(snake_case_   )
 def lowercase_						(  self   )		->							Optional[Any]:




   """simple docstring"""







   assert not self.is_empty(), "Deque is empty."

   _A          =      self._back
   _A          =      self._back.prev_node  # set new back
   # drop the last node - python will deallocate memory automatically
   _A          =      None

   self._len -= 1

   return topop.val
 def lowercase_						(  self   )		->							List[str]:




   """simple docstring"""







   assert not self.is_empty(), "Deque is empty."

   _A          =      self._front
   _A          =      self._front.next_node  # set new front and drop the first node
   _A          =      None

   self._len -= 1

   return topop.val
 def lowercase_						(  self   )		->							Tuple:




   """simple docstring"""







   return self._front is None
 def __len__(  self   )		->							Union[str, Any]:




   """simple docstring"""







   return self._len
 def __eq__(  self		,      a   )		->							int:




   """simple docstring"""







   if not isinstance(snake_case_		,      snake_case_   ):
     return NotImplemented

   _A          =      self._front
   _A          =      other._front

   # if the length of the dequeues are not the same, they are not equal
   if len(self   ) != len(snake_case_   ):
     return False

   while me is not None and oth is not None:
     # compare every value
     if me.val != oth.val:
       return False
     _A          =      me.next_node
     _A          =      oth.next_node

   return True
 def __iter__(  self   )		->							List[Any]:




   """simple docstring"""







   return Deque._Iterator(self._front   )



 def __repr__(  self   )		->							Tuple:




   """simple docstring"""







   _A          =      []
   _A          =      self._front
   while aux is not None:
     # append the values in a list to display
     values_list.append(aux.val   )
     _A          =      aux.next_node

   return f'''[{", ".join(repr(snake_case_   ) for val in values_list   )}]'''


if __name__ == "__main__":
    import doctest

    doctest.testmod()




from __future__ import annotations




def       UpperCAmelCase__	(							__snake_case							)				->	list[int]:
  _A          =      [0] * len(__snake_case							)
  for i in range(1  ,			len(__snake_case							)							):
    _A          =      duration_times[i - 1] + waiting_times[i - 1]
  return waiting_times




def       UpperCAmelCase__	(							__snake_case  ,			__snake_case							)				->	list[int]:
  return [
      duration_time + waiting_times[i]
      for i, duration_time in enumerate(__snake_case							)
  ]




def       UpperCAmelCase__	(							__snake_case							)				->	float:
  return sum(__snake_case							) / len(__snake_case							)




def       UpperCAmelCase__	(							__snake_case							)				->	float:
  return sum(__snake_case							) / len(__snake_case							)


if __name__ == "__main__":
    # process id's
    __lowerCamelCase								=   [1, 2, 3]

    # ensure that we actually have processes
    if len(processes) == 0:
        print("""Zero amount of processes""")
        raise SystemExit(0)

    # duration time of all processes
    __lowerCamelCase								=   [1_9, 8, 9]

    # ensure we can match each id to a duration time
    if len(duration_times) != len(processes):
        print("""Unable to match all id's with their duration time""")
        raise SystemExit(0)

    # get the waiting times and the turnaround times
    __lowerCamelCase								=   calculate_waiting_times(duration_times)
    __lowerCamelCase								=   calculate_turnaround_times(duration_times, waiting_times)

    # get the average times
    __lowerCamelCase								=   calculate_average_waiting_time(waiting_times)
    __lowerCamelCase								=   calculate_average_turnaround_time(turnaround_times)

    # print all the results
    print("""Process ID\tDuration Time\tWaiting Time\tTurnaround Time""")
    for i, process in enumerate(processes):
        print(
            f'''{process}\t\t{duration_times[i]}\t\t{waiting_times[i]}\t\t'''
            f'''{turnaround_times[i]}'''
        )
    print(f'''Average waiting time = {average_waiting_time}''')
    print(f'''Average turn around time = {average_turnaround_time}''')