


"""simple docstring"""
import cva
import numpy as np







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					Optional[Any]:

							try:
														return int(image[x_coordinate][y_coordinate] >= center					)
							except (IndexError, TypeError):
														return 0







def     _a					(   _SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					,			_SCREAMING_SNAKE_CASE					)     ->					Optional[Any]:
							snake_case_     							=		image[x_coordinate][y_coordinate]
							snake_case_     							=		[1, 2, 4, 8, 16, 32, 64, 128]

							# skip get_neighbors_pixel if center is null
							if center is None:
														return 0

							# Starting from the top right, assigning value to pixels clockwise
							snake_case_     							=		[
							    get_neighbors_pixel(_lowerCamelCase					,			x_coordinate - 1					,			y_coordinate + 1					,			_lowerCamelCase					),
							    get_neighbors_pixel(_lowerCamelCase					,			_lowerCamelCase					,			y_coordinate + 1					,			_lowerCamelCase					),
							    get_neighbors_pixel(_lowerCamelCase					,			x_coordinate - 1					,			_lowerCamelCase					,			_lowerCamelCase					),
							    get_neighbors_pixel(_lowerCamelCase					,			x_coordinate + 1					,			y_coordinate + 1					,			_lowerCamelCase					),
							    get_neighbors_pixel(_lowerCamelCase					,			x_coordinate + 1					,			_lowerCamelCase					,			_lowerCamelCase					),
							    get_neighbors_pixel(_lowerCamelCase					,			x_coordinate + 1					,			y_coordinate - 1					,			_lowerCamelCase					),
							    get_neighbors_pixel(_lowerCamelCase					,			_lowerCamelCase					,			y_coordinate - 1					,			_lowerCamelCase					),
							    get_neighbors_pixel(_lowerCamelCase					,			x_coordinate - 1					,			y_coordinate - 1					,			_lowerCamelCase					),
							]

							# Converting the binary value to decimal.
							return sum(
							    binary_value * power for binary_value, power in zip(_lowerCamelCase					,			_lowerCamelCase					)					)


if __name__ == "__main__":
				# Reading the image and converting it to grayscale.
				__SCREAMING_SNAKE_CASE				:     Tuple		=     cva.imread(
				    'digital_image_processing/image_data/lena.jpg', cva.IMREAD_GRAYSCALE
				)

				# Create a numpy array as the same height and width of read image
				__SCREAMING_SNAKE_CASE				:     Union[str, 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]):
												__SCREAMING_SNAKE_CASE				:     List[Any]		=     local_binary_value(image, i, j)

				cva.imshow('local binary pattern', lbp_image)
				cva.waitKey(0)
				cva.destroyAllWindows()




import unittest
from pathlib import Path

from transformers import is_vision_available, load_tool
from transformers.testing_utils import get_tests_dir

from .test_tools_common import ToolTesterMixin


if is_vision_available():
      from PIL import Image



class     snake_case_			(						unittest.TestCase    ,__A			):






   def  __UpperCamelCase	( self							:	int    )   ->		Union[str, Any]:
       lowercase__					:  Any          =							load_tool("image-segmentation"    )
       self.tool.setup()
       lowercase__					:  Optional[int]          =							load_tool("image-segmentation"      ,		remote=lowercase_    )






   def  __UpperCamelCase	( self							:	Any    )   ->		Tuple:
       lowercase__					:  Any          =							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"    )    ) / "000000039769.png"    )
       lowercase__					:  Tuple          =							self.tool(lowercase_      ,		"cat"    )
       self.assertTrue(isinstance(lowercase_      ,		Image.Image    )    )






   def  __UpperCamelCase	( self							:	Optional[int]    )   ->		Dict:
       lowercase__					:  List[Any]          =							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"    )    ) / "000000039769.png"    )
       lowercase__					:  Optional[int]          =							self.remote_tool(lowercase_      ,		"cat"    )
       self.assertTrue(isinstance(lowercase_      ,		Image.Image    )    )






   def  __UpperCamelCase	( self							:	List[Any]    )   ->		Dict:
       lowercase__					:  Optional[Any]          =							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"    )    ) / "000000039769.png"    )
       lowercase__					:  int          =							self.tool(image=lowercase_      ,		label="cat"    )
       self.assertTrue(isinstance(lowercase_      ,		Image.Image    )    )







   def  __UpperCamelCase	( self							:	Dict    )   ->		List[Any]:
       lowercase__					:  Tuple          =							Image.open(Path(get_tests_dir("fixtures/tests_samples/COCO"    )    ) / "000000039769.png"    )
       lowercase__					:  Union[str, Any]          =							self.remote_tool(image=lowercase_      ,		label="cat"    )
       self.assertTrue(isinstance(lowercase_      ,		Image.Image    )    )



