
from multiprocessing import Lock, Pipe, Process

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






def 						__magic_name__ (    __a			:       List[str]       ,		__a			:       List[str]       ,		__a			:       Union[str, Any]       ,		__a			:       Any       ,		__a			:       int       ,		__a			:       Tuple       ,		__a			:       List[Any]						):



     '''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(__snake_case						)
               process_lock.release()

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

               # take the lower value since you are on the left
               UpperCamelCase__				=				min(__snake_case       ,		__snake_case						)
          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(__snake_case						)
               process_lock.release()

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

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






def 						__magic_name__ (    __a			:       int						):



     '''simple docstring'''




     UpperCamelCase__				=				[]
     UpperCamelCase__				=				[]
     # 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
     UpperCamelCase__				=				Pipe()
     UpperCamelCase__				=				Pipe()
     process_array_.append(
         Process(
             target=__snake_case       ,		args=(0, arr[0], None, temp_rs, None, temp_rr, result_pipe[0])       ,		)						)
     UpperCamelCase__				=				temp_rs
     UpperCamelCase__				=				temp_rr

     for i in range(1       ,		len(__snake_case						) - 1						):
          UpperCamelCase__				=				Pipe()
          UpperCamelCase__				=				Pipe()
          process_array_.append(
              Process(
                  target=__snake_case       ,		args=(i, arr[i], temp_ls, temp_rs, temp_lr, temp_rr, result_pipe[i])       ,		)						)
          UpperCamelCase__				=				temp_rs
          UpperCamelCase__				=				temp_rr

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






def 						__magic_name__ (    ):



     '''simple docstring'''




     UpperCamelCase__				=				list(range(10       ,		0       ,		-1						)						)
     print("""Initial List"""						)
     print(*__snake_case						)
     UpperCamelCase__				=				odd_even_transposition(__snake_case						)
     print("""Sorted List\n"""						)
     print(*__snake_case						)


if __name__ == "__main__":
    main()












'''simple docstring'''




from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros






def        _lowerCAmelCase			(  __snake_case  : Optional[Any] ,							__snake_case  : Optional[int]			)     ->     List[str]:
     __A						: List[str]      =       k_size // 2
     __A ,__A						: List[Any]      =       mgrid[0 - center : k_size - center, 0 - center : k_size - center]
     __A						: List[Any]      =       1 / (2 * pi * sigma) * exp(-(square(__snake_case			) + square(__snake_case			)) / (2 * square(__snake_case			))			)
     return g






def        _lowerCAmelCase			(  __snake_case  : List[str] ,							__snake_case  : List[str] ,							__snake_case  : int			)     ->     Union[str, Any]:
     __A ,__A						: Tuple      =       image.shape[0], image.shape[1]
     # dst image height and width
     __A						: Tuple      =       height - k_size + 1
     __A						: Optional[Any]      =       width - k_size + 1

     # im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
     __A						: str      =       zeros((dst_height * dst_width, k_size * k_size)			)
     __A						: Optional[Any]      =       0
     for i, j in product(range(__snake_case			) ,							range(__snake_case			)			):
          __A						: int      =       ravel(image[i : i + k_size, j : j + k_size]			)
          __A						: List[str]      =       window
          row += 1

     #  turn the kernel into shape(k*k, 1)
     __A						: List[Any]      =       gen_gaussian_kernel(__snake_case ,							__snake_case			)
     __A						: Any      =       ravel(__snake_case			)

     # reshape and get the dst image
     __A						: Dict      =       dot(__snake_case ,							__snake_case			).reshape(__snake_case ,							__snake_case			).astype(__snake_case			)

     return dst


if __name__ == "__main__":
  # read original image
  lowercase__    :      List[Any]						=    imread(r'''../image_data/lena.jpg''')
  # turn image in gray scale value
  lowercase__    :      Dict						=    cvtColor(img, COLOR_BGR2GRAY)

  # get values with two different mask size
  lowercase__    :      Any						=    gaussian_filter(gray, 3, sigma=1)
  lowercase__    :      str						=    gaussian_filter(gray, 5, sigma=0.8)

  # show result images
  imshow('''gaussian filter with 3x3 mask''', gaussianaxa)
  imshow('''gaussian filter with 5x5 mask''', gaussianaxa)
  waitKey()