import numpy as np
from cva import COLOR_BGR2GRAY, cvtColor, imread
from numpy import array, uinta
from PIL import Image

from digital_image_processing import change_contrast as cc
from digital_image_processing import convert_to_negative as cn
from digital_image_processing import sepia as sp
from digital_image_processing.dithering import burkes as bs
from digital_image_processing.edge_detection import canny
from digital_image_processing.filters import convolve as conv
from digital_image_processing.filters import gaussian_filter as gg
from digital_image_processing.filters import local_binary_pattern as lbp
from digital_image_processing.filters import median_filter as med
from digital_image_processing.filters import sobel_filter as sob
from digital_image_processing.resize import resize as rs

SCREAMING_SNAKE_CASE		:     Tuple         =	imread(R"digital_image_processing/image_data/lena_small.jpg")
SCREAMING_SNAKE_CASE		:     List[str]         =	cvtColor(img, COLOR_BGR2GRAY)






def     lowerCAmelCase_			(   ):
						UpperCamelCase_		:							Union[str, Any]  =		cn.convert_to_negative(_SCREAMING_SNAKE_CASE			)
						# assert negative_img array for at least one True
						assert negative_img.any()






def     lowerCAmelCase_			(   ):
						with Image.open("""digital_image_processing/image_data/lena_small.jpg"""			) as img:
												# Work around assertion for response
												assert str(cc.change_contrast(_SCREAMING_SNAKE_CASE		, 110			)			).startswith(
												    """<PIL.Image.Image image mode=RGB size=100x100 at"""			)






def     lowerCAmelCase_			(   ):
						UpperCamelCase_		:							int  =		canny.gen_gaussian_kernel(9		, sigma=1.4			)
						# Assert ambiguous array
						assert resp.all()






def     lowerCAmelCase_			(   ):
						UpperCamelCase_		:							str  =		imread("""digital_image_processing/image_data/lena_small.jpg"""		, 0			)
						# assert ambiguous array for all == True
						assert canny_img.all()
						UpperCamelCase_		:							List[Any]  =		canny.canny(_SCREAMING_SNAKE_CASE			)
						# assert canny array for at least one True
						assert canny_array.any()






def     lowerCAmelCase_			(   ):
						assert gg.gaussian_filter(_SCREAMING_SNAKE_CASE		, 5		, sigma=0.9			).all()






def     lowerCAmelCase_			(   ):
						# laplace diagonals
						UpperCamelCase_		:							List[Any]  =		array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]			)
						UpperCamelCase_		:							Optional[Any]  =		conv.img_convolve(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			).astype(_SCREAMING_SNAKE_CASE			)
						assert res.any()






def     lowerCAmelCase_			(   ):
						assert med.median_filter(_SCREAMING_SNAKE_CASE		, 3			).any()






def     lowerCAmelCase_			(   ):
						UpperCamelCase_,UpperCamelCase_		:							List[str]  =		sob.sobel_filter(_SCREAMING_SNAKE_CASE			)
						assert grad.any() and theta.any()






def     lowerCAmelCase_			(   ):
						UpperCamelCase_		:							List[Any]  =		sp.make_sepia(_SCREAMING_SNAKE_CASE		, 20			)
						assert sepia.all()






def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				str = "digital_image_processing/image_data/lena_small.jpg"			):
						UpperCamelCase_		:							Optional[Any]  =		bs.Burkes(imread(_SCREAMING_SNAKE_CASE		, 1			)		, 120			)
						burkes.process()
						assert burkes.output_img.any()






def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				str = "digital_image_processing/image_data/lena_small.jpg"		, ):
						UpperCamelCase_		:							Optional[Any]  =		rs.NearestNeighbour(imread(_SCREAMING_SNAKE_CASE		, 1			)		, 400		, 200			)
						nn.process()
						assert nn.output.any()







def     lowerCAmelCase_			(   ):
						UpperCamelCase_		:							List[Any]  =		"""digital_image_processing/image_data/lena.jpg"""

						# Reading the image and converting it to grayscale.
						UpperCamelCase_		:							Any  =		imread(_SCREAMING_SNAKE_CASE		, 0			)

						# Test for get_neighbors_pixel function() return not None
						UpperCamelCase_		:							int  =		0
						UpperCamelCase_		:							str  =		0
						UpperCamelCase_		:							Tuple  =		image[x_coordinate][y_coordinate]

						UpperCamelCase_		:							Optional[int]  =		lbp.get_neighbors_pixel(
						    _SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			)

						assert neighbors_pixels is not None

						# Test for local_binary_pattern function()
						# Create a numpy array as the same height and width of read image
						UpperCamelCase_		:							int  =		np.zeros((image.shape[0], image.shape[1])			)

						# Iterating through the image and calculating the local binary pattern value
						# for each pixel.
						for i in range(0		, image.shape[0]			):
												for j in range(0		, image.shape[1]			):
																		UpperCamelCase_		:							List[Any]  =		lbp.local_binary_value(_SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE		, _SCREAMING_SNAKE_CASE			)

						assert lbp_image.any()







import os
import random
import sys

from . import cryptomath_module as cryptoMath  # noqa: N812
from . import rabin_miller as rabinMiller  # noqa: N812






def     lowerCAmelCase_			(   ):
						print("""Making key files..."""			)
						make_key_files("""rsa"""		, 1024			)
						print("""Key files generation successful."""			)






def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				int			):
						print("""Generating prime p..."""			)
						UpperCamelCase_		:							Tuple  =		rabinMiller.generate_large_prime(_SCREAMING_SNAKE_CASE			)
						print("""Generating prime q..."""			)
						UpperCamelCase_		:							List[Any]  =		rabinMiller.generate_large_prime(_SCREAMING_SNAKE_CASE			)
						UpperCamelCase_		:							List[str]  =		p * q

						print("""Generating e that is relatively prime to (p - 1) * (q - 1)..."""			)
						while True:
												UpperCamelCase_		:							Union[str, Any]  =		random.randrange(2 ** (key_size - 1)		, 2 ** (key_size)			)
												if cryptoMath.gcd(_SCREAMING_SNAKE_CASE		, (p - 1) * (q - 1)			) == 1:
																		break

						print("""Calculating d that is mod inverse of e..."""			)
						UpperCamelCase_		:							Tuple  =		cryptoMath.find_mod_inverse(_SCREAMING_SNAKE_CASE		, (p - 1) * (q - 1)			)

						UpperCamelCase_		:							Tuple  =		(n, e)
						UpperCamelCase_		:							int  =		(n, d)
						return (public_key, private_key)






def     lowerCAmelCase_			(   _SCREAMING_SNAKE_CASE     :				str		, _SCREAMING_SNAKE_CASE     :				int			):
						if os.path.exists(f'''{name}_pubkey.txt'''			) or os.path.exists(f'''{name}_privkey.txt'''			):
												print("""\nWARNING:"""			)
												print(
												    f'''"{name}_pubkey.txt" or "{name}_privkey.txt" already exists. \n'''
												    """Use a different name or delete these files and re-run this program."""			)
												sys.exit()

						UpperCamelCase_,UpperCamelCase_		:							str  =		generate_key(_SCREAMING_SNAKE_CASE			)
						print(f'''\nWriting public key to file {name}_pubkey.txt...'''			)
						with open(f'''{name}_pubkey.txt'''		, """w"""			) as out_file:
												out_file.write(f'''{key_size},{public_key[0]},{public_key[1]}'''			)

						print(f'''Writing private key to file {name}_privkey.txt...'''			)
						with open(f'''{name}_privkey.txt'''		, """w"""			) as out_file:
												out_file.write(f'''{key_size},{private_key[0]},{private_key[1]}'''			)


if __name__ == "__main__":
	main()






