'''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 			_UpperCamelCase			(  _a						:						Any      ):




    """simple docstring"""



    __UpperCamelCase						:						int		     =	np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]]      )
    __UpperCamelCase						:						Optional[int]		     =	np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]]      )

    __UpperCamelCase						:						Optional[Any]		     =	np.abs(img_convolve(A__					,  A__      )      )
    __UpperCamelCase						:						Dict		     =	np.abs(img_convolve(A__					,  A__      )      )
    # modify the pix within [0, 255]
    __UpperCamelCase						:						Union[str, Any]		     =	dst_x * 2_5_5 / np.max(A__      )
    __UpperCamelCase						:						Union[str, Any]		     =	dst_y * 2_5_5 / np.max(A__      )

    __UpperCamelCase						:						str		     =	np.sqrt((np.square(A__      )) + (np.square(A__      ))      )
    __UpperCamelCase						:						str		     =	dst_xy * 2_5_5 / np.max(A__      )
    __UpperCamelCase						:						Tuple		     =	dst_xy.astype(np.uinta      )

    __UpperCamelCase						:						Dict		     =	np.arctana(A__					,  A__      )
    return dst, theta


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

  a,      a=	sobel_filter(gray)

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





import warnings

from ...utils import logging
from .image_processing_levit import LevitImageProcessor


_A       =					logging.get_logger(__name__)







class 	lowerCamelCase						(    A_    ):





     def __init__(self :       Any							,       *_A :       Optional[Any]							,       **_A :       List[Any]  )		->		None:
         warnings.warn(
             "The class LevitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
             " use LevitImageProcessor instead."							,       _A							,       )
         super().__init__(*_A							,       **_A  )

