





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

from digital_image_processing.filters.convolve import img_convolve


def        __SCREAMING_SNAKE_CASE	(				__lowercase:		str):



  '''simple docstring'''






  __lowerCAmelCase								=					np.array([[-1, 0, 1], [-2, 0, 2], [-1, 0, 1]])
  __lowerCAmelCase								=					np.array([[1, 2, 1], [0, 0, 0], [-1, -2, -1]])

  __lowerCAmelCase								=					np.abs(img_convolve(__lowerCAmelCase  ,				__lowerCAmelCase))
  __lowerCAmelCase								=					np.abs(img_convolve(__lowerCAmelCase  ,				__lowerCAmelCase))
  # modify the pix within [0, 255]
  __lowerCAmelCase								=					dst_x * 2_55 / np.max(__lowerCAmelCase)
  __lowerCAmelCase								=					dst_y * 2_55 / np.max(__lowerCAmelCase)

  __lowerCAmelCase								=					np.sqrt((np.square(__lowerCAmelCase)) + (np.square(__lowerCAmelCase)))
  __lowerCAmelCase								=					dst_xy * 2_55 / np.max(__lowerCAmelCase)
  __lowerCAmelCase								=					dst_xy.astype(np.uinta)

  __lowerCAmelCase								=					np.arctana(__lowerCAmelCase  ,				__lowerCAmelCase)
  return dst, theta


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

      __lowercase    ,							__lowercase				    =      sobel_filter(gray)

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






"""simple docstring"""
import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


_SCREAMING_SNAKE_CASE						 =     logging.get_logger(__name__)







class  _SCREAMING_SNAKE_CASE       (     SCREAMING_SNAKE_CASE__				):



 '''simple docstring'''





 def __init__(self					,     *lowerCAmelCase__					,     **lowerCAmelCase__   ):

  '''simple docstring'''







  warnings.warn(
      "The class LayoutLMv3FeatureExtractor is deprecated and will be removed in version 5 of Transformers."
      " Please use LayoutLMv3ImageProcessor instead."					,     lowerCAmelCase__					,     )
  super().__init__(*lowerCAmelCase__					,     **lowerCAmelCase__   )



