"""simple docstring"""




from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
_a   :	int 					=     Lock()





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: Union[str, Any]    ,_lowerCamelCase		: str    ,_lowerCamelCase		: List[str]    ,_lowerCamelCase		: Optional[int]    ,_lowerCamelCase		: Any    ,_lowerCamelCase		: int    ,_lowerCamelCase		: str			) ->   Tuple:
  global process_lock

  # we perform n swaps since after n swaps we know we are sorted
  # we *could* stop early if we are sorted already, but it takes as long to
  # find out we are sorted as it does to sort the list with this algorithm
  for i in range(0    ,10			):
    if (i + position) % 2 == 0 and r_send is not None:
      # send your value to your right neighbor
      process_lock.acquire()
      r_send[1].send(_lowerCamelCase			)
      process_lock.release()

      # receive your right neighbor's value
      process_lock.acquire()
      _lowerCAmelCase		: List[Any]						    =  rr_cv[0].recv()
      process_lock.release()

      # take the lower value since you are on the left
      _lowerCAmelCase		: Any						    =  min(_lowerCamelCase    ,_lowerCamelCase			)
    elif (i + position) % 2 != 0 and l_send is not None:
      # send your value to your left neighbor
      process_lock.acquire()
      l_send[1].send(_lowerCamelCase			)
      process_lock.release()

      # receive your left neighbor's value
      process_lock.acquire()
      _lowerCAmelCase		: str						    =  lr_cv[0].recv()
      process_lock.release()

      # take the higher value since you are on the right
      _lowerCAmelCase		: Dict						    =  max(_lowerCamelCase    ,_lowerCamelCase			)
    # after all swaps are performed, send the values back to main
  result_pipe[1].send(_lowerCamelCase			)





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: int			) ->   Optional[int]:
  _lowerCAmelCase		: int						    =  []
  _lowerCAmelCase		: List[str]						    =  []
  # initialize the list of pipes where the values will be retrieved
  for _ in arr:
    result_pipe.append(Pipe()			)
  # creates the processes
  # the first and last process only have one neighbor so they are made outside
  # of the loop
  _lowerCAmelCase		: Optional[Any]						    =  Pipe()
  _lowerCAmelCase		: Optional[int]						    =  Pipe()
  process_array_.append(
      Process(
          target=_lowerCamelCase    ,args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])    ,)			)
  _lowerCAmelCase		: List[Any]						    =  temp_rs
  _lowerCAmelCase		: int						    =  temp_rr

  for i in range(1    ,len(_lowerCamelCase			) - 1			):
    _lowerCAmelCase		: List[Any]						    =  Pipe()
    _lowerCAmelCase		: Dict						    =  Pipe()
    process_array_.append(
        Process(
            target=_lowerCamelCase    ,args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])    ,)			)
    _lowerCAmelCase		: List[Any]						    =  temp_rs
    _lowerCAmelCase		: str						    =  temp_rr

  process_array_.append(
      Process(
          target=_lowerCamelCase    ,args=(
              len(_lowerCamelCase			) - 1,
              arr[len(_lowerCamelCase			) - 1],
              temp_ls,
              None,
              temp_lr,
              None,
              result_pipe[len(_lowerCamelCase			) - 1],
          )    ,)			)

  # start the processes
  for p in process_array_:
    p.start()

  # wait for the processes to end and write their values to the list
  for p in range(0    ,len(_lowerCamelCase			)			):
    _lowerCAmelCase		: Optional[Any]						    =  result_pipe[p][0].recv()
    process_array_[p].join()
  return arr





def 							SCREAMING_SNAKE_CASE  (    ) ->   Any:
  _lowerCAmelCase		: List[str]						    =  list(range(10    ,0    ,-1			)			)
  print("""Initial List"""			)
  print(*_lowerCamelCase			)
  _lowerCAmelCase		: int						    =  odd_even_transposition(_lowerCamelCase			)
  print("""Sorted List\n"""			)
  print(*_lowerCamelCase			)


if __name__ == "__main__":
     main()





"""simple docstring"""




from PIL import Image





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: Image    ,_lowerCamelCase		: int			) ->   Image:
  _lowerCAmelCase		: Any						    =  (259 * (level + 255)) / (255 * (259 - level))

  def contrast(_lowerCamelCase		: int			) -> int:
    return int(128 + factor * (c - 128)			)

  return img.point(_lowerCamelCase			)


if __name__ == "__main__":
     # Load image
     with Image.open('image_data/lena.jpg') as img:
          # Change contrast to 170
          _a   :	str 					=     change_contrast(img, 170)
          cont_img.save('image_data/lena_high_contrast.png', format='png')




