"""simple docstring"""



import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey
class 	__UpperCAmelCase						:







			'''simple docstring'''





			def __init__( self      ,			snake_case_      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    Any														= 0
										# max greyscale value for #FFFFFF
										A__					:    List[str]														= int(self.get_greyscale(255      ,			255      ,			255       )       )

										if not self.min_threshold < threshold < self.max_threshold:
																	A__					:    Tuple														= F'''Factor value should be from 0 to {self.max_threshold}'''
																	raise ValueError(snake_case_       )

										A__					:    Optional[int]														= input_img
										A__					:    Optional[Any]														= threshold
										A__							,       A__					:    List[Any]														= self.input_img.shape[1], self.input_img.shape[0]

										# error table size (+4 columns and +1 row) greater than input image because of
										# lack of if statements
										A__					:    Union[str, Any]														= [
										    [0 for _ in range(self.height + 4       )] for __ in range(self.width + 1       )
										]
										A__					:    Optional[Any]														= np.ones((self.width, self.height, 3)      ,			np.uinta       ) * 255





			@classmethod
			def 		lowerCamelCase				( cls      ,			snake_case_      ,			snake_case_      ,			snake_case_       ):







										'''simple docstring'''


										return 0.1_14 * blue + 0.5_87 * green + 0.21_26 * red





			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										for y in range(self.height       ):
																	for x in range(self.width       ):
																								A__					:    List[str]														= int(self.get_greyscale(*self.input_img[y][x]       )       )
																								if self.threshold > greyscale + self.error_table[y][x]:
																															A__					:    List[str]														= (0, 0, 0)
																															A__					:    str														= greyscale + self.error_table[x][y]
																								else:
																															A__					:    List[Any]														= (255, 255, 255)
																															A__					:    List[str]														= greyscale + self.error_table[x][y] - 255
																								self.error_table[y][x + 1] += int(8 / 32 * current_error       )
																								self.error_table[y][x + 2] += int(4 / 32 * current_error       )
																								self.error_table[y + 1][x] += int(8 / 32 * current_error       )
																								self.error_table[y + 1][x + 1] += int(4 / 32 * current_error       )
																								self.error_table[y + 1][x + 2] += int(2 / 32 * current_error       )
																								self.error_table[y + 1][x - 1] += int(4 / 32 * current_error       )
																								self.error_table[y + 1][x - 2] += int(2 / 32 * current_error       )


if __name__ == "__main__":
				# create Burke's instances with original images in greyscale
				_UpperCamelCase         =		[
				    Burkes(imread("image_data/lena.jpg", 1), threshold)
				    for threshold in (1, 1_26, 1_30, 1_40)
				]

				for burkes in burkes_instances:
								burkes.process()

				for burkes in burkes_instances:
								imshow(
								    F'Original image with dithering threshold: {burkes.threshold}',
								    burkes.output_img,
								)

				waitKey(0)
				destroyAllWindows()






"""simple docstring"""



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

from .logging import get_logger


_UpperCamelCase         =		set()
_UpperCamelCase         =		get_logger(__name__)

def    _A(		lowerCAmelCase = None       ):

							def decorator(lowerCAmelCase       ):
														global _emitted_deprecation_warnings

														if inspect.isclass(lowerCAmelCase       ):
																					A__					:    List[Any]														= deprecated_class_or_function.__init__
																					A__					:    Any														= deprecated_class_or_function.__name__
														else:
																					A__					:    Dict														= deprecated_class_or_function
																					A__					:    Optional[int]														= deprecated_function.__name__
																					# Support deprecating __init__ class method: class name instead
																					A__					:    List[str]														= name if name != """__init__""" else deprecated_function.__qualname__.split("""."""       )[-2]

														A__					:    Union[str, Any]														= (
														    F'''{name} is deprecated and will be removed in the next major version of datasets.''' + F''' {help_message}'''
														    if help_message
														    else """"""
														)

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

														A__					:    int														= """deprecated"""

														if inspect.isclass(lowerCAmelCase       ):
																					A__					:    Union[str, Any]														= wrapper
																					return deprecated_class_or_function
														else:
																					return wrapper

							return decorator
class 	__UpperCAmelCase						(enum.EnumMeta    ):







			'''simple docstring'''





			def __getattribute__( cls      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    Union[str, Any]														= super().__getattribute__(snake_case_       )
										if isinstance(snake_case_      ,			enum.Enum       ) and obj._on_access:
																	obj._on_access()
										return obj





			def __getitem__( cls      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    Tuple														= super().__getitem__(snake_case_       )
										if member._on_access:
																	member._on_access()
										return member





			def __call__( cls      ,			snake_case_      ,			snake_case_=None      ,			*, snake_case_=None      ,			snake_case_=None      ,			snake_case_=None      ,			snake_case_=1       ):







										'''simple docstring'''


										A__					:    List[Any]														= super().__call__(snake_case_      ,			snake_case_      ,			module=snake_case_      ,			qualname=snake_case_      ,			type=snake_case_      ,			start=snake_case_       )
										if isinstance(snake_case_      ,			enum.Enum       ) and obj._on_access:
																	obj._on_access()
										return obj





class 	__UpperCAmelCase						(enum.Enum       ,      metaclass=__A    ):







			'''simple docstring'''





			def __new__( cls      ,			snake_case_       ):







										'''simple docstring'''


										A__					:    Tuple														= object.__new__(cls       )
										A__					:    int														= value
										A__					:    Optional[int]														= member.deprecate
										return member





			@property
			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										return ""





			def 		lowerCamelCase				( self       ):







										'''simple docstring'''


										A__					:    Tuple														= 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      ,			snake_case_      ,			stacklevel=3      ,			)





