



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

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



def    snake_case_				(    ):
	__lowercase		       =			cn.convert_to_negative(_SCREAMING_SNAKE_CASE   )
	# assert negative_img array for at least one True
	assert negative_img.any()



def    snake_case_				(    ):
	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  ,	1_1_0   )   ).startswith(
		    "<PIL.Image.Image image mode=RGB size=100x100 at"   )



def    snake_case_				(    ):
	__lowercase		       =			canny.gen_gaussian_kernel(9  ,	sigma=1.4   )
	# Assert ambiguous array
	assert resp.all()



def    snake_case_				(    ):
	__lowercase		       =			imread("digital_image_processing/image_data/lena_small.jpg"  ,	0   )
	# assert ambiguous array for all == True
	assert canny_img.all()
	__lowercase		       =			canny.canny(_SCREAMING_SNAKE_CASE   )
	# assert canny array for at least one True
	assert canny_array.any()



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



def    snake_case_				(    ):
	# laplace diagonals
	__lowercase		       =			array([[0.2_5, 0.5, 0.2_5], [0.5, -3, 0.5], [0.2_5, 0.5, 0.2_5]]   )
	__lowercase		       =			conv.img_convolve(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   ).astype(_SCREAMING_SNAKE_CASE   )
	assert res.any()



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



def    snake_case_				(    ):
	__lowercase       ,    __lowercase		       =			sob.sobel_filter(_SCREAMING_SNAKE_CASE   )
	assert grad.any() and theta.any()



def    snake_case_				(    ):
	__lowercase		       =			sp.make_sepia(_SCREAMING_SNAKE_CASE  ,	2_0   )
	assert sepia.all()



def    snake_case_				(    _SCREAMING_SNAKE_CASE = "digital_image_processing/image_data/lena_small.jpg"   ):
	__lowercase		       =			bs.Burkes(imread(_SCREAMING_SNAKE_CASE  ,	1   )  ,	1_2_0   )
	burkes.process()
	assert burkes.output_img.any()



def    snake_case_				(    _SCREAMING_SNAKE_CASE = "digital_image_processing/image_data/lena_small.jpg"  ,	):
	__lowercase		       =			rs.NearestNeighbour(imread(_SCREAMING_SNAKE_CASE  ,	1   )  ,	4_0_0  ,	2_0_0   )
	nn.process()
	assert nn.output.any()



def    snake_case_				(    ):
	__lowercase		       =			"digital_image_processing/image_data/lena.jpg"

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

	# Test for get_neighbors_pixel function() return not None
	__lowercase		       =			0
	__lowercase		       =			0
	__lowercase		       =			image[x_coordinate][y_coordinate]

	__lowercase		       =			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
	__lowercase		       =			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]   ):
			__lowercase		       =			lbp.local_binary_value(_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE  ,	_SCREAMING_SNAKE_CASE   )

	assert lbp_image.any()








def    snake_case_				(    _SCREAMING_SNAKE_CASE   ):

	# bit count represents no. of bits in the gray code
	if bit_count < 0:
		raise ValueError("The given input must be positive"   )

	# get the generated string sequence
	__lowercase		       =			gray_code_sequence_string(_SCREAMING_SNAKE_CASE   )
	#
	# convert them to integers
	for i in range(len(_SCREAMING_SNAKE_CASE   )   ):
		__lowercase		       =			int(sequence[i]  ,	2   )

	return sequence



def    snake_case_				(    _SCREAMING_SNAKE_CASE   ):

	# The approach is a recursive one
	# Base case achieved when either n = 0 or n=1
	if bit_count == 0:
		return ["0"]

	if bit_count == 1:
		return ["0", "1"]

	__lowercase		       =			1 << bit_count  # defines the length of the sequence
	# 1<< n is equivalent to 2^n

	# recursive answer will generate answer for n-1 bits
	__lowercase		       =			gray_code_sequence_string(bit_count - 1   )

	__lowercase		       =			[]

	# append 0 to first half of the smaller sequence generated
	for i in range(seq_len // 2   ):
		__lowercase		       =			"0" + smaller_sequence[i]
		sequence.append(_SCREAMING_SNAKE_CASE   )

	# append 1 to second half ... start from the end of the list
	for i in reversed(range(seq_len // 2   )   ):
		__lowercase		       =			"1" + smaller_sequence[i]
		sequence.append(_SCREAMING_SNAKE_CASE   )

	return sequence


if __name__ == "__main__":
	import doctest

	doctest.testmod()



