

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

_lowerCAmelCase  :      str			 =imread(r"""digital_image_processing/image_data/lena_small.jpg""")
_lowerCAmelCase  :      int			 =cvtColor(img, COLOR_BGR2GRAY)



def 			_A	(      ):
	UpperCAmelCase__:	str									= cn.convert_to_negative(SCREAMING_SNAKE_CASE      )
	# assert negative_img array for at least one True
	assert negative_img.any()



def 			_A	(      ):
	with Image.open("digital_image_processing/image_data/lena_small.jpg"      ) as img:
		# Work around assertion for response
		assert str(cc.change_contrast(SCREAMING_SNAKE_CASE	,1_1_0      )      ).startswith(
		    "<PIL.Image.Image image mode=RGB size=100x100 at"      )



def 			_A	(      ):
	UpperCAmelCase__:	Optional[int]									= canny.gen_gaussian_kernel(9	,sigma=1.4      )
	# Assert ambiguous array
	assert resp.all()



def 			_A	(      ):
	UpperCAmelCase__:	Tuple									= imread("digital_image_processing/image_data/lena_small.jpg"	,0      )
	# assert ambiguous array for all == True
	assert canny_img.all()
	UpperCAmelCase__:	str									= canny.canny(SCREAMING_SNAKE_CASE      )
	# assert canny array for at least one True
	assert canny_array.any()



def 			_A	(      ):
	assert gg.gaussian_filter(SCREAMING_SNAKE_CASE	,5	,sigma=0.9      ).all()



def 			_A	(      ):
	# laplace diagonals
	UpperCAmelCase__:	List[Any]									= array([[0.25, 0.5, 0.25], [0.5, -3, 0.5], [0.25, 0.5, 0.25]]      )
	UpperCAmelCase__:	List[str]									= conv.img_convolve(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE      ).astype(SCREAMING_SNAKE_CASE      )
	assert res.any()



def 			_A	(      ):
	assert med.median_filter(SCREAMING_SNAKE_CASE	,3      ).any()



def 			_A	(      ):
	UpperCAmelCase__							,						UpperCAmelCase__:	Dict									= sob.sobel_filter(SCREAMING_SNAKE_CASE      )
	assert grad.any() and theta.any()



def 			_A	(      ):
	UpperCAmelCase__:	Union[str, Any]									= sp.make_sepia(SCREAMING_SNAKE_CASE	,2_0      )
	assert sepia.all()



def 			_A	(      SCREAMING_SNAKE_CASE = "digital_image_processing/image_data/lena_small.jpg"      ):
	UpperCAmelCase__:	List[Any]									= bs.Burkes(imread(SCREAMING_SNAKE_CASE	,1      )	,1_2_0      )
	burkes.process()
	assert burkes.output_img.any()



def 			_A	(      SCREAMING_SNAKE_CASE = "digital_image_processing/image_data/lena_small.jpg"	,):
	UpperCAmelCase__:	Optional[int]									= rs.NearestNeighbour(imread(SCREAMING_SNAKE_CASE	,1      )	,4_0_0	,2_0_0      )
	nn.process()
	assert nn.output.any()



def 			_A	(      ):
	UpperCAmelCase__:	Union[str, Any]									= "digital_image_processing/image_data/lena.jpg"

	# Reading the image and converting it to grayscale.
	UpperCAmelCase__:	Optional[Any]									= imread(SCREAMING_SNAKE_CASE	,0      )

	# Test for get_neighbors_pixel function() return not None
	UpperCAmelCase__:	Tuple									= 0
	UpperCAmelCase__:	List[str]									= 0
	UpperCAmelCase__:	Union[str, Any]									= image[x_coordinate][y_coordinate]

	UpperCAmelCase__:	Optional[int]									= lbp.get_neighbors_pixel(
	    SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,SCREAMING_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
	UpperCAmelCase__:	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]      ):
			UpperCAmelCase__:	Tuple									= lbp.local_binary_value(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE      )

	assert lbp_image.any()


import inspect
import re

from transformers.utils import direct_transformers_import


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
_lowerCAmelCase  :      int			 ="""src/transformers"""


# This is to make sure the transformers module imported is the one in the repo.
_lowerCAmelCase  :      Dict			 =direct_transformers_import(PATH_TO_TRANSFORMERS)

_lowerCAmelCase  :      List[str]			 =transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
_lowerCAmelCase  :      int			 =re.compile(r"""\[(.+?)\]\((https://huggingface\.co/.+?)\)""")


_lowerCAmelCase  :      Union[str, Any]			 ={
    """DecisionTransformerConfig""",
    """EncoderDecoderConfig""",
    """MusicgenConfig""",
    """RagConfig""",
    """SpeechEncoderDecoderConfig""",
    """TimmBackboneConfig""",
    """VisionEncoderDecoderConfig""",
    """VisionTextDualEncoderConfig""",
    """LlamaConfig""",
}



def 			_A	(      SCREAMING_SNAKE_CASE      ):
	UpperCAmelCase__:	str									= None

	# source code of `config_class`
	UpperCAmelCase__:	Optional[int]									= inspect.getsource(SCREAMING_SNAKE_CASE      )
	UpperCAmelCase__:	List[Any]									= _re_checkpoint.findall(SCREAMING_SNAKE_CASE      )

	# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
	# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
	for ckpt_name, ckpt_link in checkpoints:
		# allow the link to end with `/`
		if ckpt_link.endswith("/"      ):
			UpperCAmelCase__:	Any									= ckpt_link[:-1]

		# verify the checkpoint name corresponds to the checkpoint link
		UpperCAmelCase__:	int									= f"https://huggingface.co/{ckpt_name}"
		if ckpt_link == ckpt_link_from_name:
			UpperCAmelCase__:	Optional[int]									= ckpt_name
			break

	return checkpoint



def 			_A	(      ):
	UpperCAmelCase__:	List[str]									= []

	for config_class in list(CONFIG_MAPPING.values()      ):
		# Skip deprecated models
		if "models.deprecated" in config_class.__module__:
			continue
		UpperCAmelCase__:	Optional[Any]									= get_checkpoint_from_config_class(SCREAMING_SNAKE_CASE      )

		UpperCAmelCase__:	List[str]									= config_class.__name__
		if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
			configs_without_checkpoint.append(SCREAMING_SNAKE_CASE      )

	if len(SCREAMING_SNAKE_CASE      ) > 0:
		UpperCAmelCase__:	Dict									= "\n".join(sorted(SCREAMING_SNAKE_CASE      )      )
		raise ValueError(f"The following configurations don't contain any valid checkpoint:\n{message}"      )


if __name__ == "__main__":
					check_config_docstrings_have_checkpoints()