





import cva
import numpy as np





def  __UpperCamelCase   (     a,  a,  a,  a)			->int:

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





def  __UpperCamelCase   (     a,  a,  a)			->int:
					lowerCamelCase__      =							image[x_coordinate][y_coordinate]
					lowerCamelCase__      =							[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
					lowerCamelCase__      =							[
					    get_neighbors_pixel(a,  x_coordinate - 1,  y_coordinate + 1,  a),
					    get_neighbors_pixel(a,  a,  y_coordinate + 1,  a),
					    get_neighbors_pixel(a,  x_coordinate - 1,  a,  a),
					    get_neighbors_pixel(a,  x_coordinate + 1,  y_coordinate + 1,  a),
					    get_neighbors_pixel(a,  x_coordinate + 1,  a,  a),
					    get_neighbors_pixel(a,  x_coordinate + 1,  y_coordinate - 1,  a),
					    get_neighbors_pixel(a,  a,  y_coordinate - 1,  a),
					    get_neighbors_pixel(a,  x_coordinate - 1,  y_coordinate - 1,  a),
					]

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


if __name__ == "__main__":
						# Reading the image and converting it to grayscale.
						A_        =  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
						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_        =  local_binary_value(image, i, j)

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








import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


A_        =  set()
A_        =  get_logger(__name__)





def  __UpperCamelCase   (     a = None)			->str:

					def decorator(a):
										global _emitted_deprecation_warnings

										if inspect.isclass(a):
															lowerCamelCase__      =							deprecated_class_or_function.__init__
															lowerCamelCase__      =							deprecated_class_or_function.__name__
										else:
															lowerCamelCase__      =							deprecated_class_or_function
															lowerCamelCase__      =							deprecated_function.__name__
															# Support deprecating __init__ class method: class name instead
															lowerCamelCase__      =							name if name != "__init__" else deprecated_function.__qualname__.split(".")[-2]

										lowerCamelCase__      =							(
										    f"{name} is deprecated and will be removed in the next major version of datasets." + f" {help_message}"
										    if help_message
										    else ""
										)

										@wraps(a)
										def wrapper(*a,  **a):
															lowerCamelCase__      =							hash(a)
															if func_hash not in _emitted_deprecation_warnings:
																				warnings.warn(a,  category=a,  stacklevel=2)
																				_emitted_deprecation_warnings.add(a)
															return deprecated_function(*a,  **a)

										lowerCamelCase__      =							"deprecated"

										if inspect.isclass(a):
															lowerCamelCase__      =							wrapper
															return deprecated_class_or_function
										else:
															return wrapper

					return decorator

class SCREAMING_SNAKE_CASE_			(       enum.EnumMeta ):





					"""simple docstring"""


					def __getattribute__(			cls						,	_lowerCAmelCase						):
										lowerCamelCase__      =							super().__getattribute__(_lowerCAmelCase						)
										if isinstance(_lowerCAmelCase						,	enum.Enum						) and obj._on_access:
															obj._on_access()
										return obj





					def __getitem__(			cls						,	_lowerCAmelCase						):
										lowerCamelCase__      =							super().__getitem__(_lowerCAmelCase						)
										if member._on_access:
															member._on_access()
										return member






					def __call__(			cls						,	_lowerCAmelCase						,	_lowerCAmelCase=None						,	*, _lowerCAmelCase=None						,	_lowerCAmelCase=None						,	_lowerCAmelCase=None						,	_lowerCAmelCase=1						):
										lowerCamelCase__      =							super().__call__(_lowerCAmelCase						,	_lowerCAmelCase						,	module=_lowerCAmelCase						,	qualname=_lowerCAmelCase						,	type=_lowerCAmelCase						,	start=_lowerCAmelCase						)
										if isinstance(_lowerCAmelCase						,	enum.Enum						) and obj._on_access:
															obj._on_access()
										return obj

class SCREAMING_SNAKE_CASE_			(       enum.Enum				,							metaclass=lowercase_ ):





					"""simple docstring"""


					def __new__(			cls						,	_lowerCAmelCase						):
										lowerCamelCase__      =							object.__new__(cls						)
										lowerCamelCase__      =							value
										lowerCamelCase__      =							member.deprecate
										return member





					@property
					def        __magic_name__			(			self						):
										return ""






					def        __magic_name__			(			self						):
										lowerCamelCase__      =							F" {self.help_message}" if self.help_message else ""
										warnings.warn(
										    F"'{self.__objclass__.__name__}' is deprecated and will be removed in the next major version of datasets."
										    + help_message						,	_lowerCAmelCase						,	stacklevel=3						,	)

