




'''simple docstring'''




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




def     snake_case__     (			lowerCamelCase__					: Tuple      ,		lowerCamelCase__					: int=3      ) -> Union[str, Any]:
					A_			:  List[str]			=				int(mask / 2      )
					# copy image size
					A_			:  Dict			=				zeros_like(lowerCamelCase__      )
					for i in range(lowerCamelCase__      ,		gray_img.shape[0] - bd      ):
										for j in range(lowerCamelCase__      ,		gray_img.shape[1] - bd      ):
															# get mask according with mask
															A_			:  Dict			=				ravel(gray_img[i - bd : i + bd + 1, j - bd : j + bd + 1]      )
															# calculate mask median
															A_			:  Dict			=				sort(lowerCamelCase__      )[inta(divide((multiply(lowerCamelCase__      ,		lowerCamelCase__      ))      ,		2      ) + 1      )]
															A_			:  Union[str, Any]			=				median
					return median_img


if __name__ == "__main__":
							# read original image
							snake_case__ 							=    imread("""../image_data/lena.jpg""")
							# turn image in gray scale value
							snake_case__ 							=    cvtColor(img, COLOR_BGR2GRAY)

							# get values with two different mask size
							snake_case__ 							=    median_filter(gray, 3)
							snake_case__ 							=    median_filter(gray, 5)

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









'''simple docstring'''




import io
import json
import subprocess


snake_case__ 							=    [
    ["""en""", """ru"""],
    ["""ru""", """en"""],
    ["""en""", """de"""],
    ["""de""", """en"""],
]

snake_case__ 							=    8




def     snake_case__     (			lowerCamelCase__					: Union[str, Any]      ,		lowerCamelCase__					: Optional[int]      ) -> List[Any]:
					A_			:  Tuple			=				{}
					for src, tgt in pairs:
										A_			:  List[str]			=				f'{src}-{tgt}'
										A_			:  Optional[int]			=				f'sacrebleu -t wmt19 -l {pair} --echo src'.split()
										A_			:  int			=				subprocess.run(lowerCamelCase__      ,		stdout=subprocess.PIPE      ).stdout.decode('''utf-8'''      ).splitlines()
										A_			:  List[str]			=				f'sacrebleu -t wmt19 -l {pair} --echo ref'.split()
										A_			:  Any			=				subprocess.run(lowerCamelCase__      ,		stdout=subprocess.PIPE      ).stdout.decode('''utf-8'''      ).splitlines()
										A_			:  List[Any]			=				{'''src''': src_lines[:n_objs], '''tgt''': tgt_lines[:n_objs]}
					return text


snake_case__ 							=    get_all_data(pairs, n_objs)
snake_case__ 							=    """./fsmt_val_data.json"""
with io.open(filename, """w""", encoding="""utf-8""") as f:
							snake_case__ 							=    json.dump(text, f, indent=2, ensure_ascii=False)



