




import colorsys

from PIL import Image  # type: ignore

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       float	,							lowercase	:       float	,							lowercase	:       int     ):


      '''simple docstring'''



      lowerCamelCase_		     =    x
      lowerCamelCase_		     =    y
      for step in range(lowercase     ):  # noqa: B007
            lowerCamelCase_		     =    a * a - b * b + x
            lowerCamelCase_		     =    2 * a * b + y
            lowerCamelCase_		     =    a_new

            # divergence happens for all complex number with an absolute value
            # greater than 4
            if a * a + b * b > 4:
                  break
      return step / (max_step - 1)

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       float     ):


      '''simple docstring'''



      if distance == 1:
            return (0, 0, 0)
      else:
            return (2_55, 2_55, 2_55)

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       float     ):


      '''simple docstring'''



      if distance == 1:
            return (0, 0, 0)
      else:
            return tuple(round(i * 2_55     ) for i in colorsys.hsv_to_rgb(lowercase	,							1	,							1     )     )

def 			_SCREAMING_SNAKE_CASE			(							lowercase	:       int = 8_00	,							lowercase	:       int = 6_00	,							lowercase	:       float = -0.6	,							lowercase	:       float = 0	,							lowercase	:       float = 3.2	,							lowercase	:       int = 50	,							lowercase	:       bool = True	,							):


      '''simple docstring'''



      lowerCamelCase_		     =    Image.new('RGB'	,							(image_width, image_height)     )
      lowerCamelCase_		     =    img.load()

      # loop through the image-coordinates
      for image_x in range(lowercase     ):
            for image_y in range(lowercase     ):
                  # determine the figure-coordinates based on the image-coordinates
                  lowerCamelCase_		     =    figure_width / image_width * image_height
                  lowerCamelCase_		     =    figure_center_x + (image_x / image_width - 0.5) * figure_width
                  lowerCamelCase_		     =    figure_center_y + (image_y / image_height - 0.5) * figure_height

                  lowerCamelCase_		     =    get_distance(lowercase	,							lowercase	,							lowercase     )

                  # color the corresponding pixel based on the selected coloring-function
                  if use_distance_color_coding:
                        lowerCamelCase_		     =    get_color_coded_rgb(lowercase     )
                  else:
                        lowerCamelCase_		     =    get_black_and_white_rgb(lowercase     )

      return img


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 # colored version, full figure
 lowerCamelCase				:		List[str]     =   get_image()

 # uncomment for colored version, different section, zoomed in
 # img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
 # figure_width = 0.8)

 # uncomment for black and white version, full figure
 # img = get_image(use_distance_color_coding = False)

 # uncomment to save the image
 # img.save("mandelbrot.png")

 img.show()









import warnings

from ...utils import logging
from .image_processing_donut import DonutImageProcessor


lowerCamelCase				:		Any     =   logging.get_logger(__name__)







class   A(						UpperCamelCase   ):



 '''simple docstring'''


 def __init__(				self					:  Dict						,							*A_					:  Optional[int]						,							**A_					:  int  )   ->	None:

       """simple docstring"""






       warnings.warn(
           'The class DonutFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
           ' use DonutImageProcessor instead.'						,							A_						,							)
       super().__init__(*A_						,							**A_  )



