


from multiprocessing import Lock, Pipe, Process

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


def      a	(							SCREAMING_SNAKE_CASE_      :		Dict							,			SCREAMING_SNAKE_CASE_      :		Optional[Any]							,			SCREAMING_SNAKE_CASE_      :		int							,			SCREAMING_SNAKE_CASE_      :		List[Any]							,			SCREAMING_SNAKE_CASE_      :		List[Any]							,			SCREAMING_SNAKE_CASE_      :		Dict							,			SCREAMING_SNAKE_CASE_      :		Optional[int]       ):






							"""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							,			1_0       ):
														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(SCREAMING_SNAKE_CASE_       )
																					process_lock.release()

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

																					# take the lower value since you are on the left
																					UpperCamelCase    :	Any   	=		min(SCREAMING_SNAKE_CASE_							,			SCREAMING_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(SCREAMING_SNAKE_CASE_       )
																					process_lock.release()

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

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


def      a	(							SCREAMING_SNAKE_CASE_      :		Any       ):






							"""simple docstring"""





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

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

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


def      a	(							):






							"""simple docstring"""





							UpperCamelCase    :	int   	=		list(range(1_0							,			0							,			-1       )       )
							print('''Initial List'''       )
							print(*SCREAMING_SNAKE_CASE_       )
							UpperCamelCase    :	Dict   	=		odd_even_transposition(SCREAMING_SNAKE_CASE_       )
							print('''Sorted List\n'''       )
							print(*SCREAMING_SNAKE_CASE_       )


if __name__ == "__main__":
		main()





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      a	(							SCREAMING_SNAKE_CASE_      :		List[Any]							,			SCREAMING_SNAKE_CASE_      :		List[str]       ):






       """simple docstring"""





       UpperCamelCase    :	List[str]   	=		k_size // 2
       UpperCamelCase	, UpperCamelCase    :	Optional[int]   	=		mgrid[0 - center : k_size - center, 0 - center : k_size - center]
       UpperCamelCase    :	Dict   	=		1 / (2 * pi * sigma) * exp(-(square(SCREAMING_SNAKE_CASE_       ) + square(SCREAMING_SNAKE_CASE_       )) / (2 * square(SCREAMING_SNAKE_CASE_       ))       )
       return g


def      a	(							SCREAMING_SNAKE_CASE_      :		Dict							,			SCREAMING_SNAKE_CASE_      :		Optional[int]							,			SCREAMING_SNAKE_CASE_      :		int       ):






       """simple docstring"""





       UpperCamelCase	, UpperCamelCase    :	Tuple   	=		image.shape[0], image.shape[1]
       # dst image height and width
       UpperCamelCase    :	str   	=		height - k_size + 1
       UpperCamelCase    :	Optional[int]   	=		width - k_size + 1

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

       #  turn the kernel into shape(k*k, 1)
       UpperCamelCase    :	Optional[int]   	=		gen_gaussian_kernel(SCREAMING_SNAKE_CASE_							,			SCREAMING_SNAKE_CASE_       )
       UpperCamelCase    :	List[Any]   	=		ravel(SCREAMING_SNAKE_CASE_       )

       # reshape and get the dst image
       UpperCamelCase    :	Optional[int]   	=		dot(SCREAMING_SNAKE_CASE_							,			SCREAMING_SNAKE_CASE_       ).reshape(SCREAMING_SNAKE_CASE_							,			SCREAMING_SNAKE_CASE_       ).astype(SCREAMING_SNAKE_CASE_       )

       return dst


if __name__ == "__main__":
  # read original image
  __UpperCAmelCase : Union[str, Any] 			=				imread(r"../image_data/lena.jpg")
  # turn image in gray scale value
  __UpperCAmelCase : Optional[Any] 			=				cvtColor(img, COLOR_BGR2GRAY)

  # get values with two different mask size
  __UpperCAmelCase : Optional[int] 			=				gaussian_filter(gray, 3, sigma=1)
  __UpperCAmelCase : List[Any] 			=				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()

