





from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import divide, inta, multiply, ravel, sort, zeros_like





def 						__SCREAMING_SNAKE_CASE  (    UpperCamelCase__      ,      UpperCamelCase__=3			)  ->    Tuple:







			'''simple docstring'''

			UpperCAmelCase       		=    int(mask / 2			)
			# copy image size
			UpperCAmelCase       		=    zeros_like(UpperCamelCase__			)
			for i in range(UpperCamelCase__      ,      gray_img.shape[0] - bd			):
						for j in range(UpperCamelCase__      ,      gray_img.shape[1] - bd			):
									# get mask according with mask
									UpperCAmelCase       		=    ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]			)
									# calculate mask median
									UpperCAmelCase       		=    sort(UpperCamelCase__			)[inta(divide((multiply(UpperCamelCase__      ,      UpperCamelCase__			))      ,      2			) + 1			)]
									UpperCAmelCase       		=    median
			return median_img


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

				# get values with two different mask size
				__A    :   Optional[int]          =       median_filter(gray, 3)
				__A    :   Tuple          =       median_filter(gray, 5)

				# show result images
				imshow("median filter with 3x3 mask", medianaxa)
				imshow("median filter with 5x5 mask", medianaxa)
				waitKey(0)










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_sentencepiece_available, is_tokenizers_available


__A    :   Any          =       {}

try:
				if not is_sentencepiece_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A    :   Union[str, Any]          =       ["CpmTokenizer"]

try:
				if not is_tokenizers_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__A    :   List[Any]          =       ["CpmTokenizerFast"]


if TYPE_CHECKING:
				try:
								if not is_sentencepiece_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_cpm import CpmTokenizer

				try:
								if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .tokenization_cpm_fast import CpmTokenizerFast

else:
				import sys

				__A    :   str          =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



