






"""simple docstring"""
from __future__ import annotations

from itertools import permutations
from random import randint
from timeit import repeat

def        snake_case   (     ):
			UpperCAmelCase_  :				Optional[int]      =      [randint(-10_00			,10_00		) for i in range(10		)]
			UpperCAmelCase_  :				str      =      randint(-50_00			,50_00		)
			return (arr, r)


lowerCAmelCase__       			=   make_dataset()

def        snake_case   (     A__			,A__		):



			for triplet in permutations(A__			,3		):
						if sum(A__		) == target:
									return tuple(sorted(A__		)		)
			return (0, 0, 0)

def        snake_case   (     A__			,A__		):
			arr.sort()
			UpperCAmelCase_  :				Optional[int]      =      len(A__		)
			for i in range(n - 1		):
						UpperCAmelCase_  :				int      =      i + 1, n - 1
						while left < right:
									if arr[i] + arr[left] + arr[right] == target:
												return (arr[i], arr[left], arr[right])
									elif arr[i] + arr[left] + arr[right] < target:
												left += 1
									elif arr[i] + arr[left] + arr[right] > target:
												right -= 1
			return (0, 0, 0)

def        snake_case   (     ):
			UpperCAmelCase_  :				List[str]      =      "\nfrom __main__ import dataset, triplet_sum1, triplet_sum2\n"
			UpperCAmelCase_  :				Union[str, Any]      =      "\ntriplet_sum1(*dataset)\n"
			UpperCAmelCase_  :				Union[str, Any]      =      "\ntriplet_sum2(*dataset)\n"
			UpperCAmelCase_  :				List[str]      =      repeat(setup=A__			,stmt=A__			,repeat=5			,number=1_00_00		)
			UpperCAmelCase_  :				Tuple      =      repeat(setup=A__			,stmt=A__			,repeat=5			,number=1_00_00		)
			return (min(A__		), min(A__		))


if __name__ == "__main__":
			from doctest import testmod

			testmod()
			lowerCAmelCase__       			=   solution_times()
			print(f'The time for naive implementation is {times[0]}.')
			print(f'The time for optimized implementation is {times[1]}.')











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

def        snake_case   (     A__			,A__			,A__			,A__			,A__			,A__		):

			# prepare kernel
			# the kernel size have to be odd
			if (ksize % 2) == 0:
						UpperCAmelCase_  :				List[Any]      =      ksize + 1
			UpperCAmelCase_  :				Optional[Any]      =      np.zeros((ksize, ksize)			,dtype=np.floataa		)

			# each value
			for y in range(A__		):
						for x in range(A__		):
									# distance from center
									UpperCAmelCase_  :				Tuple      =      x - ksize // 2
									UpperCAmelCase_  :				Any      =      y - ksize // 2

									# degree to radiant
									UpperCAmelCase_  :				int      =      theta / 1_80 * np.pi
									UpperCAmelCase_  :				Optional[int]      =      np.cos(_theta		)
									UpperCAmelCase_  :				Union[str, Any]      =      np.sin(_theta		)

									# get kernel x
									UpperCAmelCase_  :				Tuple      =      cos_theta * px + sin_theta * py

									# get kernel y
									UpperCAmelCase_  :				List[str]      =      -sin_theta * px + cos_theta * py

									# fill kernel
									UpperCAmelCase_  :				Dict      =      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, 30, 60, 90, 120, 150]:
						lowerCamelCase_       			=   gabor_filter_kernel(10, 8, theta, 10, 0, 0)
						out += filteraD(gray, CV_8UC3, kernel_aa)
			lowerCamelCase_       			=   out / out.max() * 255
			lowerCamelCase_       			=   out.astype(np.uinta)

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

			waitKey(0)



