



"""simple docstring"""
from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import array, dot, pad, ravel, uinta, zeros



def 				lowerCAmelCase_(      lowercase_   :							Optional[int]  ,      lowercase_   :							Dict							)		->				str:
				_lowerCamelCase     ,   _lowerCamelCase					     = image.shape
				_lowerCamelCase					     = cols - block_size[1] + 1
				_lowerCamelCase					     = rows - block_size[0] + 1
				_lowerCamelCase					     = zeros((dst_height * dst_width, block_size[1] * block_size[0])							)
				_lowerCamelCase					     = 0
				for i in range(0  ,      lowercase_							):
								for j in range(0  ,      lowercase_							):
												_lowerCamelCase					     = ravel(image[i : i + block_size[0], j : j + block_size[1]]							)
												_lowerCamelCase					     = window
												row += 1

				return image_array



def 				lowerCAmelCase_(      lowercase_   :							Union[str, Any]  ,      lowercase_   :							Union[str, Any]							)		->				List[str]:
				_lowerCamelCase     ,   _lowerCamelCase					     = image.shape[0], image.shape[1]
				_lowerCamelCase					     = filter_kernel.shape[0]
				_lowerCamelCase					     = k_size // 2
				# Pads image with the edge values of array.
				_lowerCamelCase					     = pad(lowercase_  ,      lowercase_  ,      mode='''edge'''							)

				# im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
				_lowerCamelCase					     = imacol(lowercase_  ,      (k_size, k_size)							)

				#  turn the kernel into shape(k*k, 1)
				_lowerCamelCase					     = ravel(lowercase_							)
				# reshape and get the dst image
				_lowerCamelCase					     = dot(lowercase_  ,      lowercase_							).reshape(lowercase_  ,      lowercase_							)
				return dst


if __name__ == "__main__":
			# read original image
			__SCREAMING_SNAKE_CASE     :  Optional[int]										=					imread(R'''../image_data/lena.jpg''')
			# turn image in gray scale value
			__SCREAMING_SNAKE_CASE     :  Union[str, Any]										=					cvtColor(img, COLOR_BGR2GRAY)
			# Laplace operator
			__SCREAMING_SNAKE_CASE     :  Optional[Any]										=					array([[0, 1, 0], [1, -4, 1], [0, 1, 0]])
			__SCREAMING_SNAKE_CASE     :  int										=					img_convolve(gray, Laplace_kernel).astype(uinta)
			imshow('''Laplacian''', out)
			waitKey(0)





"""simple docstring"""
import warnings

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


__SCREAMING_SNAKE_CASE     :  Union[str, Any]										=					logging.get_logger(__name__)


class 							lowerCamelCase_(      A__			):





					'''simple docstring'''



					def __init__(			self ,				*lowerCamelCase__ ,				**lowerCamelCase__      ):
									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__      )
