

"""simple docstring"""




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

_lowercase   :	Union[str, Any]												=						imread(r'digital_image_processing/image_data/lena_small.jpg')
_lowercase   :	Any												=						cvtColor(img, COLOR_BGR2GRAY)





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





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





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





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





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





def       lowercase__						(       ):
	# laplace diagonals
	__UpperCAmelCase      		= array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]    )
	__UpperCAmelCase      		= conv.img_convolve(snake_case_			,		snake_case_    ).astype(snake_case_    )
	assert res.any()





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





def       lowercase__						(       ):
	__UpperCAmelCase		,							__UpperCAmelCase      		= sob.sobel_filter(snake_case_    )
	assert grad.any() and theta.any()





def       lowercase__						(       ):
	__UpperCAmelCase      		= sp.make_sepia(snake_case_			,		20    )
	assert sepia.all()





def       lowercase__						(       snake_case_   :str = "digital_image_processing/image_data/lena_small.jpg"    ):
	__UpperCAmelCase      		= bs.Burkes(imread(snake_case_			,		1    )			,		120    )
	burkes.process()
	assert burkes.output_img.any()





def       lowercase__						(       snake_case_   :str = "digital_image_processing/image_data/lena_small.jpg"			,		):
	__UpperCAmelCase      		= rs.NearestNeighbour(imread(snake_case_			,		1    )			,		400			,		200    )
	nn.process()
	assert nn.output.any()





def       lowercase__						(       ):
	__UpperCAmelCase      		= '''digital_image_processing/image_data/lena.jpg'''

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

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

	__UpperCAmelCase      		= lbp.get_neighbors_pixel(
	    snake_case_			,		snake_case_			,		snake_case_			,		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      		= 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      		= lbp.local_binary_value(snake_case_			,		snake_case_			,		snake_case_    )

	assert lbp_image.any()




'''simple docstring'''






import argparse


lowercase				='docs/source/_static/js/custom.js'





def lowerCamelCase__     (		__lowerCamelCase			:				List[Any]				):







   '''simple docstring'''




   with open(__lowerCamelCase			,       encoding='utf-8'			,       newline='\n'				) as f:
      _UpperCAmelCase  :  Optional[Any]				       =f.readlines()
   _UpperCAmelCase  :  Dict				       =0

   # First let's put the right version
   while not lines[index].startswith('const stableVersion ='				):
      index += 1
   _UpperCAmelCase  :  Tuple				       =f"const stableVersion = \"v{version}\"\n"

   # Then update the dictionary
   while not lines[index].startswith('const versionMapping = {'				):
      index += 1

   # We go until the end
   while not lines[index].startswith('}'				):
      index += 1
   # We add the new version at the end
   lines[index - 1] += f"    \"v{version}\": \"v{version}\",\n"

   with open(__lowerCamelCase			,       'w'			,       encoding='utf-8'			,       newline='\n'				) as f:
      f.writelines(__lowerCamelCase				)


if __name__ == "__main__":
 lowercase				=argparse.ArgumentParser()
 parser.add_argument('--version', help='Release version.')
 lowercase				=parser.parse_args()
 update_custom_js(args.version)

