


'''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     :						Optional[int]	=     cvtColor(img, COLOR_BGR2GRAY)






def   lowerCamelCase							():
					__a      :	Optional[int]    =  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							():
					__a      :	Dict    =  canny.gen_gaussian_kernel(9						,				sigma=1.4       )
					# Assert ambiguous array
					assert resp.all()






def   lowerCamelCase							():
					__a      :	Any    =  imread('digital_image_processing/image_data/lena_small.jpg'						,				0       )
					# assert ambiguous array for all == True
					assert canny_img.all()
					__a      :	Optional[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
					__a      :	List[Any]    =  array([[0.2_5, 0.5, 0.2_5], [0.5, -3, 0.5], [0.2_5, 0.5, 0.2_5]]       )
					__a      :	int    =  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							():
					__a   ,    __a      :	Optional[int]    =  sob.sobel_filter(_SCREAMING_SNAKE_CASE       )
					assert grad.any() and theta.any()






def   lowerCamelCase							():
					__a      :	Union[str, 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"       ):
					__a      :	str    =  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"						,				):
					__a      :	str    =  rs.NearestNeighbour(imread(_SCREAMING_SNAKE_CASE						,				1       )						,				400						,				200       )
					nn.process()
					assert nn.output.any()






def   lowerCamelCase							():
					__a      :	Optional[int]    =  'digital_image_processing/image_data/lena.jpg'

					# Reading the image and converting it to grayscale.
					__a      :	List[str]    =  imread(_SCREAMING_SNAKE_CASE						,				0       )

					# Test for get_neighbors_pixel function() return not None
					__a      :	Any    =  0
					__a      :	List[Any]    =  0
					__a      :	List[str]    =  image[x_coordinate][y_coordinate]

					__a      :	Union[str, Any]    =  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
					__a      :	Any    =  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]       ):
															__a      :	Optional[int]    =  lbp.local_binary_value(_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE						,				_SCREAMING_SNAKE_CASE       )

					assert lbp_image.any()







'''simple docstring'''



import os






def   lowerCamelCase							():
					with open(os.path.dirname(_SCREAMING_SNAKE_CASE       ) + '/p022_names.txt'       ) as file:
										__a      :	List[Any]    =  str(file.readlines()[0]       )
										__a      :	str    =  names.replace('"'						,				''       ).split(','       )

					names.sort()

					__a      :	Union[str, Any]    =  0
					__a      :	Tuple    =  0

					for i, name in enumerate(_SCREAMING_SNAKE_CASE       ):
										for letter in name:
															name_score += ord(_SCREAMING_SNAKE_CASE       ) - 64

										total_score += (i + 1) * name_score
										__a      :	Any    =  0
					return total_score


if __name__ == "__main__":
	print(solution())



