





from itertools import product

from cva import COLOR_BGR2GRAY, cvtColor, imread, imshow, waitKey
from numpy import dot, exp, mgrid, pi, ravel, square, uinta, zeros






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							Optional[int]					,   UpperCamelCase__:							Dict    ):
		SCREAMING_SNAKE_CASE__			=      k_size // 2
		SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      mgrid[0 - center : k_size - center, 0 - center : k_size - center]
		SCREAMING_SNAKE_CASE__			=      1 / (2 * pi * sigma) * exp(-(square(UpperCamelCase__    ) + square(UpperCamelCase__    )) / (2 * square(UpperCamelCase__    ))    )
		return g






def 				SCREAMING_SNAKE_CASE__							(       UpperCamelCase__:							List[str]					,   UpperCamelCase__:							List[str]					,   UpperCamelCase__:							List[Any]    ):
		SCREAMING_SNAKE_CASE__	,						SCREAMING_SNAKE_CASE__			=      image.shape[0], image.shape[1]
		# dst image height and width
		SCREAMING_SNAKE_CASE__			=      height - k_size + 1
		SCREAMING_SNAKE_CASE__			=      width - k_size + 1

		# im2col, turn the k_size*k_size pixels into a row and np.vstack all rows
		SCREAMING_SNAKE_CASE__			=      zeros((dst_height * dst_width, k_size * k_size)    )
		SCREAMING_SNAKE_CASE__			=      0
		for i, j in product(range(UpperCamelCase__    )					,   range(UpperCamelCase__    )    ):
				SCREAMING_SNAKE_CASE__			=      ravel(image[i : i + k_size, j : j + k_size]    )
				SCREAMING_SNAKE_CASE__			=      window
				row += 1

		#  turn the kernel into shape(k*k, 1)
		SCREAMING_SNAKE_CASE__			=      gen_gaussian_kernel(UpperCamelCase__					,   UpperCamelCase__    )
		SCREAMING_SNAKE_CASE__			=      ravel(UpperCamelCase__    )

		# reshape and get the dst image
		SCREAMING_SNAKE_CASE__			=      dot(UpperCamelCase__					,   UpperCamelCase__    ).reshape(UpperCamelCase__					,   UpperCamelCase__    ).astype(UpperCamelCase__    )

		return dst


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

	# get values with two different mask size
	_lowerCamelCase   				=			gaussian_filter(gray, 3, sigma=1)
	_lowerCamelCase   				=			gaussian_filter(gray, 5, sigma=0.8)

	# show result images
	imshow('gaussian filter with 3x3 mask', gaussianaxa)
	imshow('gaussian filter with 5x5 mask', gaussianaxa)
	waitKey()






import inspect
import unittest




class   UpperCamelCase_       (     unittest.TestCase    ):


							def      _snake_case  (							self    :str		)   ->   Union[str, Any]:



									"""simple docstring"""



									try:
											import diffusers  # noqa: F401
									except ImportError:
											assert False


							def      _snake_case  (							self    :Any		)   ->   Any:



									"""simple docstring"""



									import diffusers
									from diffusers.dependency_versions_table import deps

									SCREAMING_SNAKE_CASE__			=      inspect.getmembers(__A							,				inspect.isclass		)

									for cls_name, cls_module in all_classes:
											if "dummy_" in cls_module.__module__:
													for backend in cls_module._backends:
															if backend == "k_diffusion":
																	SCREAMING_SNAKE_CASE__			=      """k-diffusion"""
															elif backend == "invisible_watermark":
																	SCREAMING_SNAKE_CASE__			=      """invisible-watermark"""
															assert backend in deps, f'''{backend} is not in the deps table!'''