





'''simple docstring'''


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





     def __init__(				self	:      List[str]			,   lowercase	:      List[str]			,   lowercase	:      int		):





        """simple docstring"""




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

        if not self.min_threshold < threshold < self.max_threshold:
           lowercase_    :Optional[Any]					    =				F'Factor value should be from 0 to {self.max_threshold}'
           raise ValueError(lowercase		)

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





     @classmethod
     def 							lowercase__   (				cls	:      List[Any]			,   lowercase	:      int			,   lowercase	:      int			,   lowercase	:      int		):





        """simple docstring"""




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







     def 							lowercase__   (				self	:      Union[str, Any]		):





        """simple docstring"""




        for y in range(self.height		):
           for x in range(self.width		):
              lowercase_    :List[Any]					    =				int(self.get_greyscale(*self.input_img[y][x]		)		)
              if self.threshold > greyscale + self.error_table[y][x]:
                 lowercase_    :Tuple					    =				(0, 0, 0)
                 lowercase_    :Union[str, Any]					    =				greyscale + self.error_table[x][y]
              else:
                 lowercase_    :Optional[int]					    =				(255, 255, 255)
                 lowercase_    :Optional[Any]					    =				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      :  Tuple      							=[
     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'''


import platform
from argparse import ArgumentParser

import huggingface_hub
import pandas
import pyarrow

from datasets import __version__ as version
from datasets.commands import BaseDatasetsCLICommand
def 							UpperCAmelCase_						(		__lowerCamelCase      :      Optional[int]				):
   return EnvironmentCommand()


class    a_     (       _lowerCAmelCase							):





     @staticmethod
     def 							lowercase__   (				lowercase	:      ArgumentParser		):





        """simple docstring"""




        lowercase_    :Optional[int]					    =				parser.add_parser("env"			,   help="Print relevant system environment info."		)
        download_parser.set_defaults(func=lowercase		)





     def 							lowercase__   (				self	:      List[str]		):





        """simple docstring"""




        lowercase_    :Tuple					    =				{
            "`datasets` version": version,
            "Platform": platform.platform(),
            "Python version": platform.python_version(),
            "Huggingface_hub version": huggingface_hub.__version__,
            "PyArrow version": pyarrow.__version__,
            "Pandas version": pandas.__version__,
        }

        print("\nCopy-and-paste the text below in your GitHub issue.\n"		)
        print(self.format_dict(lowercase		)		)

        return info







     @staticmethod
     def 							lowercase__   (				lowercase	:      Dict		):





        """simple docstring"""




        return "\n".join([F'- {prop}: {val}' for prop, val in d.items()]		) + "\n"


