




'''simple docstring'''







import numpy as np
from cva import destroyAllWindows, imread, imshow, waitKey





class      lowerCamelCase_							:




					'''simple docstring'''






					def __init__(    self,  __UpperCamelCase,  __UpperCamelCase ):
							_snake_case	       =       0
							# max greyscale value for #FFFFFF
							_snake_case	       =       int(self.get_greyscale(255,  255,  255 ) )

							if not self.min_threshold < threshold < self.max_threshold:
									_snake_case	       =       f'''Factor value should be from 0 to {self.max_threshold}'''
									raise ValueError(__UpperCamelCase )

							_snake_case	       =       input_img
							_snake_case	       =       threshold
							_snake_case       ,    _snake_case	       =       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
							_snake_case	       =       [
							    [0 for _ in range(self.height + 4 )] for __ in range(self.width + 1 )
							]
							_snake_case	       =       np.ones((self.width, self.height, 3),  np.uinta ) * 255






					@classmethod
					def 				__SCREAMING_SNAKE_CASE	(    cls,  __UpperCamelCase,  __UpperCamelCase,  __UpperCamelCase ):
							return 0.1_14 * blue + 0.5_87 * green + 0.21_26 * red






					def 				__SCREAMING_SNAKE_CASE	(    self ):
							for y in range(self.height ):
									for x in range(self.width ):
											_snake_case	       =       int(self.get_greyscale(*self.input_img[y][x] ) )
											if self.threshold > greyscale + self.error_table[y][x]:
													_snake_case	       =       (0, 0, 0)
													_snake_case	       =       greyscale + self.error_table[x][y]
											else:
													_snake_case	       =       (255, 255, 255)
													_snake_case	       =       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
						_lowerCamelCase							:						int								=  [
						    Burkes(imread('image_data/lena.jpg', 1), threshold)
						    for threshold in (1, 126, 130, 140)
						]

						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'''







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_lowerCamelCase							:						Optional[Any]								=  {'configuration_bit': ['BIT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BitConfig', 'BitOnnxConfig']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCamelCase							:						Dict								=  [
						    'BIT_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'BitForImageClassification',
						    'BitModel',
						    'BitPreTrainedModel',
						    'BitBackbone',
						]


try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_lowerCamelCase							:						Union[str, Any]								=  ['BitImageProcessor']


if TYPE_CHECKING:
						from .configuration_bit import BIT_PRETRAINED_CONFIG_ARCHIVE_MAP, BitConfig, BitOnnxConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_bit import (
												    BIT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    BitBackbone,
												    BitForImageClassification,
												    BitModel,
												    BitPreTrainedModel,
												)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .image_processing_bit import BitImageProcessor

else:
						import sys

						_lowerCamelCase							:						Optional[Any]								=  _LazyModule(__name__, globals()['__file__'], _import_structure)





