import importlib
import os
import sys


# This is required to make the module import works (when the python process is running from the root of the repo)
sys.path.append(""".""")





def  _lowerCamelCase					(   a_				: List[str]):
			lowerCamelCase						:int						  =     test_file.split(os.path.sep)
			if components[0:2] != ["tests", "models"]:
						raise ValueError(
						    '''`test_file` should start with `tests/models/` (with `/` being the OS specific path separator). Got '''
						    F"{test_file} instead.")
			lowerCamelCase						:Optional[Any]						  =     components[-1]
			if not test_fn.endswith('''py'''):
						raise ValueError(F"`test_file` should be a python file. Got {test_fn} instead.")
			if not test_fn.startswith('''test_modeling_'''):
						raise ValueError(
						    F"`test_file` should point to a file name of the form `test_modeling_*.py`. Got {test_fn} instead.")

			lowerCamelCase						:Optional[Any]						  =     components[:-1] + [test_fn.replace('''.py'''						,			'''''')]
			lowerCamelCase						:Optional[Any]						  =     '''.'''.join(_SCREAMING_SNAKE_CASE)

			return test_module_path





def  _lowerCamelCase					(   a_				: int):
			lowerCamelCase						:Union[str, Any]						  =     get_module_path(_SCREAMING_SNAKE_CASE)
			lowerCamelCase						:Union[str, Any]						  =     importlib.import_module(_SCREAMING_SNAKE_CASE)

			return test_module





def  _lowerCamelCase					(   a_				: Optional[int]):
			lowerCamelCase						:int						  =     []
			lowerCamelCase						:List[str]						  =     get_test_module(_SCREAMING_SNAKE_CASE)
			for attr in dir(_SCREAMING_SNAKE_CASE):
						if attr.endswith('''ModelTester'''):
									tester_classes.append(getattr(_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE))

    # sort with class names
			return sorted(_SCREAMING_SNAKE_CASE						,			key=lambda a_: x.__name__)





def  _lowerCamelCase					(   a_				: int):
			lowerCamelCase						:List[str]						  =     []
			lowerCamelCase						:Optional[Any]						  =     get_test_module(_SCREAMING_SNAKE_CASE)
			for attr in dir(_SCREAMING_SNAKE_CASE):
						lowerCamelCase						:List[str]						  =     getattr(_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE)
						# (TF/Flax)ModelTesterMixin is also an attribute in specific model test module. Let's exclude them by checking
						# `all_model_classes` is not empty (which also excludes other special classes).
						lowerCamelCase						:int						  =     getattr(_SCREAMING_SNAKE_CASE						,			'''all_model_classes'''						,			[])
						if len(_SCREAMING_SNAKE_CASE) > 0:
									test_classes.append(_SCREAMING_SNAKE_CASE)

    # sort with class names
			return sorted(_SCREAMING_SNAKE_CASE						,			key=lambda a_: x.__name__)





def  _lowerCamelCase					(   a_				: Optional[int]):
			lowerCamelCase						:str						  =     get_test_classes(_SCREAMING_SNAKE_CASE)
			lowerCamelCase						:Dict						  =     set()
			for test_class in test_classes:
						model_classes.update(test_class.all_model_classes)

			# sort with class names
			return sorted(_SCREAMING_SNAKE_CASE						,			key=lambda a_: x.__name__)





def  _lowerCamelCase					(   a_				: Union[str, Any]):
			lowerCamelCase						:Union[str, Any]						  =     test_class()
			if hasattr(_SCREAMING_SNAKE_CASE						,			'''setUp'''):
						test.setUp()

			lowerCamelCase						:int						  =     None
			if hasattr(_SCREAMING_SNAKE_CASE						,			'''model_tester'''):
						# `(TF/Flax)ModelTesterMixin` has this attribute default to `None`. Let's skip this case.
						if test.model_tester is not None:
									lowerCamelCase						:Union[str, Any]						  =     test.model_tester.__class__

			return model_tester





def  _lowerCamelCase					(   a_				: str						,			a_				: Optional[int]):
			lowerCamelCase						:Optional[Any]						  =     get_test_classes(_SCREAMING_SNAKE_CASE)

			lowerCamelCase						:str						  =     []
			for test_class in test_classes:
						if model_class in test_class.all_model_classes:
									target_test_classes.append(_SCREAMING_SNAKE_CASE)

    # sort with class names
			return sorted(_SCREAMING_SNAKE_CASE						,			key=lambda a_: x.__name__)





def  _lowerCamelCase					(   a_				: int						,			a_				: int):
			lowerCamelCase						:Union[str, Any]						  =     get_test_classes_for_model(_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE)

			lowerCamelCase						:Optional[int]						  =     []
			for test_class in test_classes:
						lowerCamelCase						:int						  =     get_model_tester_from_test_class(_SCREAMING_SNAKE_CASE)
						if tester_class is not None:
									tester_classes.append(_SCREAMING_SNAKE_CASE)

    # sort with class names
			return sorted(_SCREAMING_SNAKE_CASE						,			key=lambda a_: x.__name__)





def  _lowerCamelCase					(   a_				: Tuple):
			lowerCamelCase						:Any						  =     get_test_classes(_SCREAMING_SNAKE_CASE)
			lowerCamelCase						:Optional[Any]						  =     {test_class: get_model_tester_from_test_class(_SCREAMING_SNAKE_CASE) for test_class in test_classes}
			return test_tester_mapping





def  _lowerCamelCase					(   a_				: Union[str, Any]):
			lowerCamelCase						:Optional[int]						  =     get_model_classes(_SCREAMING_SNAKE_CASE)
			lowerCamelCase						:Optional[int]						  =     {
			    model_class: get_test_classes_for_model(_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE) for model_class in model_classes
			}
			return model_test_mapping





def  _lowerCamelCase					(   a_				: int):
			lowerCamelCase						:Optional[int]						  =     get_model_classes(_SCREAMING_SNAKE_CASE)
			lowerCamelCase						:Dict						  =     {
			    model_class: get_tester_classes_for_model(_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE) for model_class in model_classes
			}
			return model_to_tester_mapping





def  _lowerCamelCase					(   a_				: List[Any]):
			if isinstance(_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE):
						return o
			elif isinstance(_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE):
						return o.__name__
			elif isinstance(_SCREAMING_SNAKE_CASE						,			(list, tuple)):
						return [to_json(_SCREAMING_SNAKE_CASE) for x in o]
			elif isinstance(_SCREAMING_SNAKE_CASE						,			_SCREAMING_SNAKE_CASE):
						return {to_json(_SCREAMING_SNAKE_CASE): to_json(_SCREAMING_SNAKE_CASE) for k, v in o.items()}
			else:
						return o




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__           =							imread(R"""digital_image_processing/image_data/lena_small.jpg""")
A__           =							cvtColor(img, COLOR_BGR2GRAY)





def  _lowerCamelCase					(   ):
			lowerCamelCase						:int						  =     cn.convert_to_negative(a_)
			# 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(a_						,			1_10)).startswith(
						    '''<PIL.Image.Image image mode=RGB size=100x100 at''')





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





def  _lowerCamelCase					(   ):
			lowerCamelCase						: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(a_)
			# assert canny array for at least one True
			assert canny_array.any()





def  _lowerCamelCase					(   ):
			assert gg.gaussian_filter(a_						,			5						,			sigma=0.9).all()





def  _lowerCamelCase					(   ):
			# laplace diagonals
			lowerCamelCase						:List[Any]						  =     array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]])
			lowerCamelCase						:List[Any]						  =     conv.img_convolve(a_						,			a_).astype(a_)
			assert res.any()





def  _lowerCamelCase					(   ):
			assert med.median_filter(a_						,			3).any()





def  _lowerCamelCase					(   ):
			lowerCamelCase  ,    lowerCamelCase						:Union[str, Any]						  =     sob.sobel_filter(a_)
			assert grad.any() and theta.any()





def  _lowerCamelCase					(   ):
			lowerCamelCase						:Dict						  =     sp.make_sepia(a_						,			20)
			assert sepia.all()





def  _lowerCamelCase					(   a_				: str = "digital_image_processing/image_data/lena_small.jpg"):
			lowerCamelCase						:Any						  =     bs.Burkes(imread(a_						,			1)						,			1_20)
			burkes.process()
			assert burkes.output_img.any()





def  _lowerCamelCase					(   a_				: str = "digital_image_processing/image_data/lena_small.jpg"						,			):
			lowerCamelCase						:Tuple						  =     rs.NearestNeighbour(imread(a_						,			1)						,			4_00						,			2_00)
			nn.process()
			assert nn.output.any()





def  _lowerCamelCase					(   ):
			lowerCamelCase						:Tuple						  =     '''digital_image_processing/image_data/lena.jpg'''

			# Reading the image and converting it to grayscale.
			lowerCamelCase						:Tuple						  =     imread(a_						,			0)

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

			lowerCamelCase						:Any						  =     lbp.get_neighbors_pixel(
			    a_						,			a_						,			a_						,			a_)

			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						:int						  =     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						:Optional[int]						  =     lbp.local_binary_value(a_						,			a_						,			a_)

			assert lbp_image.any()



