





"""simple docstring"""




from multiprocessing import Lock, Pipe, Process

# lock used to ensure that two processes do not access a pipe at the same time
lowerCamelCase_     :						List[Any]						=					Lock()





def 						UpperCAmelCase__		(     _UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase					):






  """simple docstring"""





  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(_UpperCAmelCase					)
      process_lock.release()

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

      # take the lower value since you are on the left
      A_  :       str										=  min(_UpperCAmelCase ,					_UpperCAmelCase					)
    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(_UpperCAmelCase					)
      process_lock.release()

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

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





def 						UpperCAmelCase__		(     _UpperCAmelCase					):






  """simple docstring"""





  A_  :       List[str]										=  []
  A_  :       List[Any]										=  []
  # 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
  A_  :       int										=  Pipe()
  A_  :       Optional[Any]										=  Pipe()
  process_array_.append(
      Process(
          target=_UpperCAmelCase ,					args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0]) ,					)					)
  A_  :       str										=  temp_rs
  A_  :       Optional[int]										=  temp_rr

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

  process_array_.append(
      Process(
          target=_UpperCAmelCase ,					args=(
              len(_UpperCAmelCase					) - 1,
              arr[len(_UpperCAmelCase					) - 1],
              temp_ls,
              None,
              temp_lr,
              None,
              result_pipe[len(_UpperCAmelCase					) - 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(_UpperCAmelCase					)					):
    A_  :       str										=  result_pipe[p][0].recv()
    process_array_[p].join()
  return arr





def 						UpperCAmelCase__		(     ):






  """simple docstring"""





  A_  :       List[Any]										=  list(range(10 ,					0 ,					-1					)					)
  print('Initial List'					)
  print(*_UpperCAmelCase					)
  A_  :       Optional[Any]										=  odd_even_transposition(_UpperCAmelCase					)
  print('Sorted List\n'					)
  print(*_UpperCAmelCase					)


if __name__ == "__main__":
   main()






"""simple docstring"""




from heapq import heappop, heappush

import numpy as np





def 						UpperCAmelCase__		(     _UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase ,					_UpperCAmelCase ,					):






  """simple docstring"""





  A_						,       A_  :       List[str]										=  grid.shape
  A_  :       Optional[int]										=  [-1, 1, 0, 0]
  A_  :       str										=  [0, 0, -1, 1]
  if allow_diagonal:
    dx += [-1, -1, 1, 1]
    dy += [-1, 1, -1, 1]

  A_						,       A_  :       List[Any]										=  [(0, source)], set()
  A_  :       Optional[Any]										=  np.full((rows, cols) ,					np.inf					)
  A_  :       int										=  0
  A_  :       Optional[int]										=  np.empty((rows, cols) ,					dtype=_UpperCAmelCase					)
  A_  :       Optional[int]										=  None

  while queue:
    ((A_)						,       (A_))  :       str										=  heappop(_UpperCAmelCase					)
    if (x, y) in visited:
      continue
    visited.add((x, y)					)

    if (x, y) == destination:
      A_  :       int										=  []
      while (x, y) != source:
        path.append((x, y)					)
        A_						,       A_  :       List[Any]										=  predecessors[x, y]
      path.append(_UpperCAmelCase					)  # add the source manually
      path.reverse()
      return matrix[destination], path

    for i in range(len(_UpperCAmelCase					)					):
      A_						,       A_  :       Tuple										=  x + dx[i], y + dy[i]
      if 0 <= nx < rows and 0 <= ny < cols:
        A_  :       Union[str, Any]										=  grid[nx][ny]
        if next_node == 1 and matrix[nx, ny] > dist + 1:
          heappush(_UpperCAmelCase ,					(dist + 1, (nx, ny))					)
          A_  :       Optional[Any]										=  dist + 1
          A_  :       Optional[Any]										=  (x, y)

  return np.inf, []


if __name__ == "__main__":
   import doctest

   doctest.testmod()