'''simple docstring'''


import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey

from digital_image_processing.filters.convolve import img_convolve


def    _lowerCamelCase       ( lowerCamelCase_   :				str  ):



     """simple docstring"""





     UpperCAmelCase_				:  List[Any]  = np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]]  )
     UpperCAmelCase_				:  int  = np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]]  )

     UpperCAmelCase_				:  Optional[Any]  = np.abs(img_convolve(lowerCamelCase_      ,	lowerCamelCase_  )  )
     UpperCAmelCase_				:  Optional[int]  = np.abs(img_convolve(lowerCamelCase_      ,	lowerCamelCase_  )  )
     # modify the pix within [0, 255]
     UpperCAmelCase_				:  Tuple  = dst_x * 255 / np.max(lowerCamelCase_  )
     UpperCAmelCase_				:  str  = dst_y * 255 / np.max(lowerCamelCase_  )

     UpperCAmelCase_				:  Any  = np.sqrt((np.square(lowerCamelCase_  )) + (np.square(lowerCamelCase_  ))  )
     UpperCAmelCase_				:  Optional[Any]  = dst_xy * 255 / np.max(lowerCamelCase_  )
     UpperCAmelCase_				:  Tuple  = dst_xy.astype(np.uinta  )

     UpperCAmelCase_				:  Dict  = np.arctana(lowerCamelCase_      ,	lowerCamelCase_  )
     return dst, theta


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

 snake_case__     , snake_case__	:     int      =    sobel_filter(gray)

 # show result images
 imshow('''sobel filter''', sobel_grad)
 imshow('''sobel theta''', sobel_theta)
 waitKey(0)







'''simple docstring'''


import io
import json
import subprocess


snake_case__	:     Any      =    [
    ['''en''', '''ru'''],
    ['''ru''', '''en'''],
    ['''en''', '''de'''],
    ['''de''', '''en'''],
]

snake_case__	:     Tuple      =    8


def    _lowerCamelCase       ( lowerCamelCase_   :				Tuple      ,	lowerCamelCase_   :				Union[str, Any]  ):



     """simple docstring"""





     UpperCAmelCase_				:  List[Any]  = {}
     for src, tgt in pairs:
          UpperCAmelCase_				:  str  = F'''{src}-{tgt}'''
          UpperCAmelCase_				:  List[str]  = F'''sacrebleu -t wmt19 -l {pair} --echo src'''.split()
          UpperCAmelCase_				:  Any  = subprocess.run(lowerCamelCase_      ,	stdout=subprocess.PIPE  ).stdout.decode('utf-8'  ).splitlines()
          UpperCAmelCase_				:  Any  = F'''sacrebleu -t wmt19 -l {pair} --echo ref'''.split()
          UpperCAmelCase_				:  List[str]  = subprocess.run(lowerCamelCase_      ,	stdout=subprocess.PIPE  ).stdout.decode('utf-8'  ).splitlines()
          UpperCAmelCase_				:  str  = {'src': src_lines[:n_objs], 'tgt': tgt_lines[:n_objs]}
     return text


snake_case__	:     Union[str, Any]      =    get_all_data(pairs, n_objs)
snake_case__	:     Dict      =    '''./fsmt_val_data.json'''
with io.open(filename, '''w''', encoding='''utf-8''') as f:
 snake_case__	:     List[str]      =    json.dump(text, f, indent=2, ensure_ascii=False)






