



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     							=						imread(r'''digital_image_processing/image_data/lena_small.jpg''')
_lowercase     							=						cvtColor(img, COLOR_BGR2GRAY)






def      _A				()  ->int:



			'''simple docstring'''







			lowerCamelCase__ :      Optional[int]								=		cn.convert_to_negative(__snake_case )
			# assert negative_img array for at least one True
			assert negative_img.any()






def      _A				()  ->List[Any]:



			'''simple docstring'''







			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      _A				()  ->Optional[int]:



			'''simple docstring'''







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






def      _A				()  ->str:



			'''simple docstring'''







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






def      _A				()  ->Dict:



			'''simple docstring'''







			assert gg.gaussian_filter(__snake_case      ,			5      ,			sigma=0.9 ).all()






def      _A				()  ->Optional[Any]:



			'''simple docstring'''







			lowerCamelCase__ :      Tuple								=		array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]] )
			lowerCamelCase__ :      List[str]								=		conv.img_convolve(__snake_case      ,			__snake_case ).astype(__snake_case )
			assert res.any()






def      _A				()  ->Optional[Any]:



			'''simple docstring'''







			assert med.median_filter(__snake_case      ,			3 ).any()






def      _A				()  ->List[str]:



			'''simple docstring'''







			lowerCamelCase__							,lowerCamelCase__ :      Optional[int]								=		sob.sobel_filter(__snake_case )
			assert grad.any() and theta.any()






def      _A				()  ->Any:



			'''simple docstring'''







			lowerCamelCase__ :      str								=		sp.make_sepia(__snake_case      ,			20 )
			assert sepia.all()






def      _A				(UpperCamelCase		:      str = "digital_image_processing/image_data/lena_small.jpg" )  ->List[str]:



			'''simple docstring'''







			lowerCamelCase__ :      List[Any]								=		bs.Burkes(imread(__snake_case      ,			1 )      ,			120 )
			burkes.process()
			assert burkes.output_img.any()






def      _A				(UpperCamelCase		:      Optional[int] = "digital_image_processing/image_data/lena_small.jpg"      ,			)  ->int:



			'''simple docstring'''







			lowerCamelCase__ :      Optional[int]								=		rs.NearestNeighbour(imread(__snake_case      ,			1 )      ,			400      ,			200 )
			nn.process()
			assert nn.output.any()






def      _A				()  ->Tuple:



			'''simple docstring'''







			lowerCamelCase__ :      Tuple								=		"""digital_image_processing/image_data/lena.jpg"""

			# Reading the image and converting it to grayscale.
			lowerCamelCase__ :      List[Any]								=		imread(__snake_case      ,			0 )

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

			lowerCamelCase__ :      Dict								=		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
			lowerCamelCase__ :      Optional[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] ):
									lowerCamelCase__ :      List[Any]								=		lbp.local_binary_value(__snake_case      ,			__snake_case      ,			__snake_case )

			assert lbp_image.any()








import itertools
import string
from collections.abc import Generator, Iterable






def      _A				(UpperCamelCase		:      Iterable[str]      ,			UpperCamelCase		:      int )  ->Generator[tuple[str, ...], None, None]:



			'''simple docstring'''







			lowerCamelCase__ :      Any								=		iter(UpperCamelCase )
			while True:
						lowerCamelCase__ :      Union[str, Any]								=		tuple(itertools.islice(UpperCamelCase      ,			UpperCamelCase ) )
						if not chunk:
									return
						yield chunk






def      _A				(UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      Tuple								=		"""""".join([c.upper() for c in dirty if c in string.ascii_letters] )
			lowerCamelCase__ :      Any								=		""""""

			if len(UpperCamelCase ) < 2:
						return dirty

			for i in range(len(UpperCamelCase ) - 1 ):
						clean += dirty[i]

						if dirty[i] == dirty[i + 1]:
									clean += "X"

			clean += dirty[-1]

			if len(UpperCamelCase ) & 1:
						clean += "X"

			return clean






def      _A				(UpperCamelCase		:      str )  ->list[str]:



			'''simple docstring'''







			lowerCamelCase__ :      Optional[Any]								=		"""ABCDEFGHIKLMNOPQRSTUVWXYZ"""
			# we're using a list instead of a '2d' array because it makes the math
			# for setting up the table and doing the actual encoding/decoding simpler
			lowerCamelCase__ :      List[Any]								=		[]

			# copy key chars into the table if they are in `alphabet` ignoring duplicates
			for char in key.upper():
						if char not in table and char in alphabet:
									table.append(UpperCamelCase )

    # fill the rest of the table in with the remaining alphabet chars
			for char in alphabet:
						if char not in table:
									table.append(UpperCamelCase )

			return table






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      Tuple								=		generate_table(UpperCamelCase )
			lowerCamelCase__ :      int								=		prepare_input(UpperCamelCase )
			lowerCamelCase__ :      List[str]								=		""""""

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(UpperCamelCase      ,			2 ):
						lowerCamelCase__							,lowerCamelCase__ :      Optional[Any]								=		divmod(table.index(UpperCamelCase )      ,			5 )
						lowerCamelCase__							,lowerCamelCase__ :      Optional[Any]								=		divmod(table.index(UpperCamelCase )      ,			5 )

						if rowa == rowa:
									ciphertext += table[rowa * 5 + (cola + 1) % 5]
									ciphertext += table[rowa * 5 + (cola + 1) % 5]
						elif cola == cola:
									ciphertext += table[((rowa + 1) % 5) * 5 + cola]
									ciphertext += table[((rowa + 1) % 5) * 5 + cola]
						else:  # rectangle
									ciphertext += table[rowa * 5 + cola]
									ciphertext += table[rowa * 5 + cola]

			return ciphertext






def      _A				(UpperCamelCase		:      str      ,			UpperCamelCase		:      str )  ->str:



			'''simple docstring'''







			lowerCamelCase__ :      Any								=		generate_table(UpperCamelCase )
			lowerCamelCase__ :      Any								=		""""""

			# https://en.wikipedia.org/wiki/Playfair_cipher#Description
			for chara, chara in chunker(UpperCamelCase      ,			2 ):
						lowerCamelCase__							,lowerCamelCase__ :      int								=		divmod(table.index(UpperCamelCase )      ,			5 )
						lowerCamelCase__							,lowerCamelCase__ :      Any								=		divmod(table.index(UpperCamelCase )      ,			5 )

						if rowa == rowa:
									plaintext += table[rowa * 5 + (cola - 1) % 5]
									plaintext += table[rowa * 5 + (cola - 1) % 5]
						elif cola == cola:
									plaintext += table[((rowa - 1) % 5) * 5 + cola]
									plaintext += table[((rowa - 1) % 5) * 5 + cola]
						else:  # rectangle
									plaintext += table[rowa * 5 + cola]
									plaintext += table[rowa * 5 + cola]

			return plaintext



