

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






def 					lowerCamelCase_     (							UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     int	)						->				np.ndarray:




	'''simple docstring'''




	if (ksize % 2) == 0:
		_UpperCamelCase   :		Dict			=						ksize + 1
	_UpperCamelCase   :		Optional[Any]			=						np.zeros((ksize, ksize)							,       dtype=np.floataa	)

	# each value
	for y in range(UpperCAmelCase_	):
		for x in range(UpperCAmelCase_	):
			# distance from center
			_UpperCamelCase   :		Union[str, Any]			=						x - ksize // 2
			_UpperCamelCase   :		int			=						y - ksize // 2

			# degree to radiant
			_UpperCamelCase   :		List[Any]			=						theta / 1_8_0 * np.pi
			_UpperCamelCase   :		Any			=						np.cos(_theta	)
			_UpperCamelCase   :		List[str]			=						np.sin(_theta	)

			# get kernel x
			_UpperCamelCase   :		List[str]			=						cos_theta * px + sin_theta * py

			# get kernel y
			_UpperCamelCase   :		int			=						-sin_theta * px + cos_theta * py

			# fill kernel
			_UpperCamelCase   :		List[str]			=						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
							lowerCAmelCase__								=		imread("""../image_data/lena.jpg""")
							# turn image in gray scale value
							lowerCAmelCase__								=		cvtColor(img, COLOR_BGR2GRAY)

							# Apply multiple Kernel to detect edges
							lowerCAmelCase__								=		np.zeros(gray.shape[:2])
							for theta in [0, 3_0, 6_0, 9_0, 1_2_0, 1_5_0]:
														lowerCAmelCase__								=		gabor_filter_kernel(1_0, 8, theta, 1_0, 0, 0)
														out += filteraD(gray, CV_8UC3, kernel_aa)
							lowerCAmelCase__								=		out / out.max() * 2_5_5
							lowerCAmelCase__								=		out.astype(np.uinta)

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

							waitKey(0)







def 					lowerCamelCase_     (							UpperCAmelCase_							:     list	)						->				list:




	'''simple docstring'''




	if len(UpperCAmelCase_	) <= 1:
		return [tuple(UpperCAmelCase_	)]

	_UpperCamelCase   :		List[Any]			=						[]

	def generate(UpperCAmelCase_							:     int							,       UpperCAmelCase_							:     list	):
		_UpperCamelCase   :		Optional[int]			=						[0] * n
		res.append(tuple(UpperCAmelCase_	)	)

		_UpperCamelCase   :		List[Any]			=						0
		while i < n:
			if c[i] < i:
				if i % 2 == 0:
					_UpperCamelCase	,		_UpperCamelCase   :		List[str]			=						arr[i], arr[0]
				else:
					_UpperCamelCase	,		_UpperCamelCase   :		List[str]			=						arr[i], arr[c[i]]
				res.append(tuple(UpperCAmelCase_	)	)
				c[i] += 1
				_UpperCamelCase   :		Tuple			=						0
			else:
				_UpperCamelCase   :		Tuple			=						0
				i += 1

	generate(len(UpperCAmelCase_	)							,       UpperCAmelCase_	)
	return res


if __name__ == "__main__":
							lowerCAmelCase__								=		input("""Enter numbers separated by a comma:\n""").strip()
							lowerCAmelCase__								=		[int(item) for item in user_input.split(""",""")]
							print(heaps(arr))




