class    _UpperCamelCase      (						lowerCAmelCase__ ):


			"""simple docstring"""






			pass




class    _UpperCamelCase      (						lowerCAmelCase__ ):


			"""simple docstring"""






			pass




class    _UpperCamelCase      :


			"""simple docstring"""






			def __init__(   self						)     ->					int:

							'''simple docstring'''


							__lowercase 			=							[
							    [],
							    [],
							    [],
							]





			def        _SCREAMING_SNAKE_CASE			(   self      ,   lowerCAmelCase__      ,   lowerCAmelCase__						)     ->					int:

							'''simple docstring'''


							try:
											if len(self.queues[priority]						) >= 1_00:
															raise OverflowError('''Maximum queue size is 100'''						)
											self.queues[priority].append(__a						)
							except IndexError:
											raise ValueError('''Valid priorities are 0, 1, and 2'''						)





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Tuple:

							'''simple docstring'''


							for queue in self.queues:
											if queue:
															return queue.pop(0						)
							raise UnderFlowError('''All queues are empty'''						)





			def __str__(   self						)     ->					Tuple:

							'''simple docstring'''


							return "\n".join(F"Priority {i}: {q}" for i, q in enumerate(self.queues						)						)




class    _UpperCamelCase      :


			"""simple docstring"""






			def __init__(   self						)     ->					Dict:

							'''simple docstring'''


							__lowercase 			=							[]





			def        _SCREAMING_SNAKE_CASE			(   self      ,   lowerCAmelCase__						)     ->					List[str]:

							'''simple docstring'''


							if len(self.queue						) == 1_00:
											raise OverFlowError('''Maximum queue size is 100'''						)
							self.queue.append(__a						)





			def        _SCREAMING_SNAKE_CASE			(   self						)     ->					Tuple:

							'''simple docstring'''


							if not self.queue:
											raise UnderFlowError('''The queue is empty'''						)
							else:
											__lowercase 			=							min(self.queue						)
											self.queue.remove(__a						)
											return data





			def __str__(   self						)     ->					Any:

							'''simple docstring'''


							return str(self.queue						)





def 				UpperCAmelCase						(    ):







				"""simple docstring"""



				__lowercase 			=							FixedPriorityQueue()
				fpq.enqueue(0							,			10							)
				fpq.enqueue(1							,			70							)
				fpq.enqueue(0							,			100							)
				fpq.enqueue(2							,			1							)
				fpq.enqueue(2							,			5							)
				fpq.enqueue(1							,			7							)
				fpq.enqueue(2							,			4							)
				fpq.enqueue(1							,			64							)
				fpq.enqueue(0							,			128							)
				print(_UpperCamelCase							)
				print(fpq.dequeue()							)
				print(fpq.dequeue()							)
				print(fpq.dequeue()							)
				print(fpq.dequeue()							)
				print(fpq.dequeue()							)
				print(_UpperCamelCase							)
				print(fpq.dequeue()							)
				print(fpq.dequeue()							)
				print(fpq.dequeue()							)
				print(fpq.dequeue()							)
				print(fpq.dequeue()							)





def 				UpperCAmelCase						(    ):







				"""simple docstring"""



				__lowercase 			=							ElementPriorityQueue()
				epq.enqueue(10							)
				epq.enqueue(70							)
				epq.enqueue(100							)
				epq.enqueue(1							)
				epq.enqueue(5							)
				epq.enqueue(7							)
				epq.enqueue(4							)
				epq.enqueue(64							)
				epq.enqueue(128							)
				print(_UpperCamelCase							)
				print(epq.dequeue()							)
				print(epq.dequeue()							)
				print(epq.dequeue()							)
				print(epq.dequeue()							)
				print(epq.dequeue()							)
				print(_UpperCamelCase							)
				print(epq.dequeue()							)
				print(epq.dequeue()							)
				print(epq.dequeue()							)
				print(epq.dequeue()							)
				print(epq.dequeue()							)


if __name__ == "__main__":
		fixed_priority_queue()
		element_priority_queue()



"""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

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


def _lowerCamelCase	(		):

			'''simple docstring'''




			__lowerCAmelCase				    =			cn.convert_to_negative(_UpperCamelCase      )
			# assert negative_img array for at least one True
			assert negative_img.any()


def _lowerCamelCase	(		):

			'''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(_UpperCamelCase    , 110      )      ).startswith(
						    "<PIL.Image.Image image mode=RGB size=100x100 at"      )


def _lowerCamelCase	(		):

			'''simple docstring'''




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


def _lowerCamelCase	(		):

			'''simple docstring'''




			__lowerCAmelCase				    =			imread("digital_image_processing/image_data/lena_small.jpg"    , 0      )
			# assert ambiguous array for all == True
			assert canny_img.all()
			__lowerCAmelCase				    =			canny.canny(_UpperCamelCase      )
			# assert canny array for at least one True
			assert canny_array.any()


def _lowerCamelCase	(		):

			'''simple docstring'''




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


def _lowerCamelCase	(		):

			'''simple docstring'''




			__lowerCAmelCase				    =			array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]      )
			__lowerCAmelCase				    =			conv.img_convolve(_UpperCamelCase    , _UpperCamelCase      ).astype(_UpperCamelCase      )
			assert res.any()


def _lowerCamelCase	(		):

			'''simple docstring'''




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


def _lowerCamelCase	(		):

			'''simple docstring'''




			__lowerCAmelCase    ,	__lowerCAmelCase				    =			sob.sobel_filter(_UpperCamelCase      )
			assert grad.any() and theta.any()


def _lowerCamelCase	(		):

			'''simple docstring'''




			__lowerCAmelCase				    =			sp.make_sepia(_UpperCamelCase    , 20      )
			assert sepia.all()


def _lowerCamelCase	(		_UpperCamelCase = "digital_image_processing/image_data/lena_small.jpg"      ):

			'''simple docstring'''




			__lowerCAmelCase				    =			bs.Burkes(imread(_UpperCamelCase    , 1      )    , 120      )
			burkes.process()
			assert burkes.output_img.any()


def _lowerCamelCase	(		_UpperCamelCase = "digital_image_processing/image_data/lena_small.jpg"    , ):

			'''simple docstring'''




			__lowerCAmelCase				    =			rs.NearestNeighbour(imread(_UpperCamelCase    , 1      )    , 400    , 200      )
			nn.process()
			assert nn.output.any()


def _lowerCamelCase	(		):

			'''simple docstring'''




			__lowerCAmelCase				    =			"digital_image_processing/image_data/lena.jpg"

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

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

			__lowerCAmelCase				    =			lbp.get_neighbors_pixel(
			    _UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase      )

			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				    =			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				    =			lbp.local_binary_value(_UpperCamelCase    , _UpperCamelCase    , _UpperCamelCase      )

			assert lbp_image.any()




