"""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							(       UpperCAmelCase_       :							List[str]    )				->     List[Any]:

	'''simple docstring'''





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

	__snake_case     :				int 						=					np.abs(img_convolve(UpperCAmelCase_     ,				UpperCAmelCase_    )    )
	__snake_case     :				List[str] 						=					np.abs(img_convolve(UpperCAmelCase_     ,				UpperCAmelCase_    )    )
	# modify the pix within [0, 255]
	__snake_case     :				Optional[Any] 						=					dst_x * 2_55 / np.max(UpperCAmelCase_    )
	__snake_case     :				Any 						=					dst_y * 2_55 / np.max(UpperCAmelCase_    )

	__snake_case     :				Optional[Any] 						=					np.sqrt((np.square(UpperCAmelCase_    )) + (np.square(UpperCAmelCase_    ))    )
	__snake_case     :				Union[str, Any] 						=					dst_xy * 2_55 / np.max(UpperCAmelCase_    )
	__snake_case     :				List[str] 						=					dst_xy.astype(np.uinta    )

	__snake_case     :				List[str] 						=					np.arctana(UpperCAmelCase_     ,				UpperCAmelCase_    )
	return dst, theta


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

	_a,						_a	:	str=					sobel_filter(gray)

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






"""simple docstring"""







from typing import TypeVar

from .arrow_dataset import Dataset, _split_by_node_map_style_dataset
from .iterable_dataset import IterableDataset, _split_by_node_iterable_dataset


_a	:	List[Any]=					TypeVar("DatasetType", Dataset, IterableDataset)
def     __UpperCAmelCase							(       UpperCAmelCase_       :							DatasetType     ,				UpperCAmelCase_       :							int     ,				UpperCAmelCase_       :							int    )				->     DatasetType:

	'''simple docstring'''





	if isinstance(UpperCAmelCase_     ,				UpperCAmelCase_    ):
		return _split_by_node_map_style_dataset(UpperCAmelCase_     ,				rank=UpperCAmelCase_     ,				world_size=UpperCAmelCase_    )
	else:
		return _split_by_node_iterable_dataset(UpperCAmelCase_     ,				rank=UpperCAmelCase_     ,				world_size=UpperCAmelCase_    )





