from pathlib import Path

import numpy as np
from PIL import Image





def  _lowerCamelCase					(   a_				: np.ndarray):
			lowerCamelCase  ,    lowerCamelCase  ,    lowerCamelCase						:Any						  =     rgb[:, :, 0], rgb[:, :, 1], rgb[:, :, 2]
			return 0.2_989 * r + 0.5_870 * g + 0.1_140 * b





def  _lowerCamelCase					(   a_				: np.ndarray):
			return (gray > 1_27) & (gray <= 2_55)





def  _lowerCamelCase					(   a_				: np.ndarray						,			a_				: np.ndarray):
			lowerCamelCase						:List[Any]						  =     np.zeros_like(a_)
			lowerCamelCase						:Tuple						  =     np.zeros(
			    (image.shape[0] + kernel.shape[0] - 1, image.shape[1] + kernel.shape[1] - 1))

			# Copy image to padded image
			lowerCamelCase						:int						  =     image

			# Iterate over image & apply kernel
			for x in range(image.shape[1]):
						for y in range(image.shape[0]):
									lowerCamelCase						:Optional[Any]						  =     (
									    kernel * image_padded[y : y + kernel.shape[0], x : x + kernel.shape[1]]
									).sum()
									lowerCamelCase						:str						  =     int(summation > 0)
			return output


if __name__ == "__main__":
			# read original image
			A__           =							Path(__file__).resolve().parent / """image_data""" / """lena.jpg"""
			A__           =							np.array(Image.open(lena_path))
			# kernel to be applied
			A__           =							np.array([[0, 1, 0], [1, 1, 1], [0, 1, 0]])
			A__           =							dilation(gray_to_binary(rgb_to_gray(lena)), structuring_element)
			# Save the output image
			A__           =							Image.fromarray(output).convert("""RGB""")
			pil_img.save("""result_dilation.png""")




from maths.prime_factors import prime_factors





def  _lowerCamelCase					(   a_				: int):
			if not isinstance(a_						,			a_):
						lowerCamelCase						:Tuple						  =     F"Input value of [number={number}] must be an integer"
						raise TypeError(a_)
			if number < 1:
						raise ValueError('''Input must be a positive integer''')
			return -1 if len(prime_factors(a_)) % 2 else 1


if __name__ == "__main__":
			import doctest

			doctest.testmod()



