



'''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_		       =  imread(R"digital_image_processing/image_data/lena_small.jpg")
lowercase_		       =  cvtColor(img, COLOR_BGR2GRAY)




def lowerCAmelCase  ():



     """simple docstring"""



     _a      =  cn.convert_to_negative(lowercase__)
     # 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(lowercase__  ,	110)).startswith(
              '''<PIL.Image.Image image mode=RGB size=100x100 at''')




def lowerCAmelCase  ():



     """simple docstring"""



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




def lowerCAmelCase  ():



     """simple docstring"""



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




def lowerCAmelCase  ():



     """simple docstring"""



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




def lowerCAmelCase  ():



     """simple docstring"""



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




def lowerCAmelCase  ():



     """simple docstring"""



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




def lowerCAmelCase  ():



     """simple docstring"""



     _a      =  sob.sobel_filter(lowercase__)
     assert grad.any() and theta.any()




def lowerCAmelCase  ():



     """simple docstring"""



     _a      =  sp.make_sepia(lowercase__  ,	20)
     assert sepia.all()




def lowerCAmelCase  (__A = "digital_image_processing/image_data/lena_small.jpg"):



     """simple docstring"""



     _a      =  bs.Burkes(imread(lowercase__  ,	1)  ,	120)
     burkes.process()
     assert burkes.output_img.any()




def lowerCAmelCase  (__A = "digital_image_processing/image_data/lena_small.jpg"  ,	):



     """simple docstring"""



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




def lowerCAmelCase  ():



     """simple docstring"""



     _a      =  '''digital_image_processing/image_data/lena.jpg'''

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

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

     _a      =  lbp.get_neighbors_pixel(
         lowercase__  ,	lowercase__  ,	lowercase__  ,	lowercase__)

     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      =  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      =  lbp.local_binary_value(lowercase__  ,	lowercase__  ,	lowercase__)

     assert lbp_image.any()







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase	: Any  				={'configuration_vit_msn': ['VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTMSNConfig']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCAmelCase	: int  				=[
						    'VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'ViTMSNModel',
						    'ViTMSNForImageClassification',
						    'ViTMSNPreTrainedModel',
						]

if TYPE_CHECKING:
						from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_vit_msn import (
												    VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ViTMSNForImageClassification,
												    ViTMSNModel,
												    ViTMSNPreTrainedModel,
												)

else:
						import sys

						__lowerCAmelCase	: Union[str, Any]  				=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
