






import argparse
from collections import defaultdict





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	__lowercase             =  F'{file}_{class_name}_{test_name}'
	done_test[_id] += 1

	with open(lowerCamelCase				,  """r"""					) as f:
		__lowercase             =  f.readlines()

	__lowercase             =  F'class {class_name}('
	__lowercase             =  F'{4 * " "}def {test_name}('
	__lowercase             =  F'{8 * " "}{correct_line.split()[0]}'
	__lowercase             =  F'{16 * " "}{correct_line.split()[0]}'
	__lowercase             =  False
	__lowercase             =  False
	__lowercase             =  False
	__lowercase             =  False
	__lowercase             =  0
	__lowercase             =  0

	__lowercase             =  []
	for line in lines:
		if line.startswith(lowerCamelCase					):
			__lowercase             =  True
		elif in_class and line.startswith(lowerCamelCase					):
			__lowercase             =  True
		elif in_class and in_func and (line.startswith(lowerCamelCase					) or line.startswith(lowerCamelCase					)):
			__lowercase             =  len(line.split(correct_line.split()[0]					)[0]					)
			count += 1

			if count == done_test[_id]:
				__lowercase             =  True

		if in_class and in_func and in_line:
			if ")" not in line:
				continue
			else:
				__lowercase             =  True

		if in_class and in_func and in_line and insert_line:
			new_lines.append(F'{spaces * " "}{correct_line}'					)
			__lowercase             =  __lowercase             =  __lowercase             =  __lowercase             =  False
		else:
			new_lines.append(lowerCamelCase					)

	with open(lowerCamelCase				,  """w"""					) as f:
		for line in new_lines:
			f.write(lowerCamelCase					)





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase=None					):




	'''simple docstring'''







	if fail is not None:
		with open(lowerCamelCase				,  """r"""					) as f:
			__lowercase             =  {l.strip() for l in f.readlines()}
	else:
		__lowercase             =  None

	with open(lowerCamelCase				,  """r"""					) as f:
		__lowercase             =  f.readlines()

	__lowercase             =  defaultdict(lowerCamelCase					)
	for line in correct_lines:
		__lowercase       ,						__lowercase       ,						__lowercase       ,						__lowercase             =  line.split(""";"""					)
		if test_failures is None or "::".join([file, class_name, test_name]					) in test_failures:
			overwrite_file(lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					)


if __name__ == "__main__":
						__UpperCamelCase      :      List[Any]     						=						argparse.ArgumentParser()
						parser.add_argument("""--correct_filename""", help="""filename of tests with expected result""")
						parser.add_argument("""--fail_filename""", help="""filename of test failures""", type=str, default=None)
						__UpperCamelCase      :      int     						=						parser.parse_args()

						main(args.correct_filename, args.fail_filename)









import numpy as np
from cva import COLOR_BGR2GRAY, CV_8UC3, cvtColor, filteraD, imread, imshow, waitKey





def 				snake_case  (     lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase				,  lowerCamelCase					):




	'''simple docstring'''







	if (ksize % 2) == 0:
		__lowercase             =  ksize + 1
	__lowercase             =  np.zeros((ksize, ksize)				,  dtype=np.floataa					)

	# each value
	for y in range(lowerCamelCase					):
		for x in range(lowerCamelCase					):
			# distance from center
			__lowercase             =  x - ksize // 2
			__lowercase             =  y - ksize // 2

			# degree to radiant
			__lowercase             =  theta / 180 * np.pi
			__lowercase             =  np.cos(_theta					)
			__lowercase             =  np.sin(_theta					)

			# get kernel x
			__lowercase             =  cos_theta * px + sin_theta * py

			# get kernel y
			__lowercase             =  -sin_theta * px + cos_theta * py

			# fill kernel
			__lowercase             =  np.exp(
			    -(_x**2 + gamma**2 * _y**2) / (2 * sigma**2)					) * np.cos(2 * np.pi * _x / lambd + psi					)

	return gabor


if __name__ == "__main__":
						import doctest

						doctest.testmod()
						# read original image
						__UpperCamelCase      :      List[Any]     						=						imread("""../image_data/lena.jpg""")
						# turn image in gray scale value
						__UpperCamelCase      :      Union[str, Any]     						=						cvtColor(img, COLOR_BGR2GRAY)

						# Apply multiple Kernel to detect edges
						__UpperCamelCase      :      Union[str, Any]     						=						np.zeros(gray.shape[:2])
						for theta in [0, 30, 60, 90, 120, 150]:
												__UpperCamelCase      :      Tuple     						=						gabor_filter_kernel(10, 8, theta, 10, 0, 0)
												out += filteraD(gray, CV_8UC3, kernel_aa)
						__UpperCamelCase      :      List[str]     						=						out / out.max() * 255
						__UpperCamelCase      :      List[str]     						=						out.astype(np.uinta)

						imshow("""Original""", gray)
						imshow("""Gabor filter with 20x20 mask and 6 directions""", out)

						waitKey(0)

