
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__		:List[Any]			  =   imread(r"digital_image_processing/image_data/lena_small.jpg")
lowercase__		:int			  =   cvtColor(img, COLOR_BGR2GRAY)



def 	UpperCamelCase   (							):
					'''simple docstring'''
					lowercase						     =						cn.convert_to_negative(lowerCAmelCase__		)
					# assert negative_img array for at least one True
					assert negative_img.any()



def 	UpperCamelCase   (							):
					'''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(lowerCAmelCase__			,      110		)		).startswith(
										    '''<PIL.Image.Image image mode=RGB size=100x100 at'''		)



def 	UpperCamelCase   (							):
					'''simple docstring'''
					lowercase						     =						canny.gen_gaussian_kernel(9			,      sigma=1.4		)
					# Assert ambiguous array
					assert resp.all()



def 	UpperCamelCase   (							):
					'''simple docstring'''
					lowercase						     =						imread('''digital_image_processing/image_data/lena_small.jpg'''			,      0		)
					# assert ambiguous array for all == True
					assert canny_img.all()
					lowercase						     =						canny.canny(lowerCAmelCase__		)
					# assert canny array for at least one True
					assert canny_array.any()



def 	UpperCamelCase   (							):
					'''simple docstring'''
					assert gg.gaussian_filter(lowerCAmelCase__			,      5			,      sigma=0.9		).all()



def 	UpperCamelCase   (							):
					'''simple docstring'''
					# laplace diagonals
					lowercase						     =						array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]		)
					lowercase						     =						conv.img_convolve(lowerCAmelCase__			,      lowerCAmelCase__		).astype(lowerCAmelCase__		)
					assert res.any()



def 	UpperCamelCase   (							):
					'''simple docstring'''
					assert med.median_filter(lowerCAmelCase__			,      3		).any()



def 	UpperCamelCase   (							):
					'''simple docstring'''
					lowercase     ,						lowercase						     =						sob.sobel_filter(lowerCAmelCase__		)
					assert grad.any() and theta.any()



def 	UpperCamelCase   (							):
					'''simple docstring'''
					lowercase						     =						sp.make_sepia(lowerCAmelCase__			,      20		)
					assert sepia.all()



def 	UpperCamelCase   (							lowerCAmelCase__ = "digital_image_processing/image_data/lena_small.jpg"		):
					'''simple docstring'''
					lowercase						     =						bs.Burkes(imread(lowerCAmelCase__			,      1		)			,      120		)
					burkes.process()
					assert burkes.output_img.any()



def 	UpperCamelCase   (							lowerCAmelCase__ = "digital_image_processing/image_data/lena_small.jpg"			,      ):
					'''simple docstring'''
					lowercase						     =						rs.NearestNeighbour(imread(lowerCAmelCase__			,      1		)			,      400			,      200		)
					nn.process()
					assert nn.output.any()



def 	UpperCamelCase   (							):
					'''simple docstring'''
					lowercase						     =						'''digital_image_processing/image_data/lena.jpg'''

					# Reading the image and converting it to grayscale.
					lowercase						     =						imread(lowerCAmelCase__			,      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(
					    lowerCAmelCase__			,      lowerCAmelCase__			,      lowerCAmelCase__			,      lowerCAmelCase__		)

					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(lowerCAmelCase__			,      lowerCAmelCase__			,      lowerCAmelCase__		)

					assert lbp_image.any()






lowercase__		:Any			  =   8.3_144_598



def 	UpperCamelCase   (							lowerCAmelCase__			,      lowerCAmelCase__		):
					'''simple docstring'''
					if temperature < 0:
										raise Exception('''Temperature cannot be less than 0 K'''		)
					if molar_mass <= 0:
										raise Exception('''Molar mass cannot be less than or equal to 0 kg/mol'''		)
					else:
										return (3 * UNIVERSAL_GAS_CONSTANT * temperature / molar_mass) ** 0.5


if __name__ == "__main__":
							import doctest

							# run doctest
							doctest.testmod()

							# example
							lowercase__		:Optional[Any]			  =   300
							lowercase__		:List[Any]			  =   28
							lowercase__		:Dict			  =   rms_speed_of_molecule(temperature, molar_mass)
							print(F'Vrms of Nitrogen gas at 300 K is {vrms} m/s')




