



'''simple docstring'''





import colorsys

from PIL import Image  # type: ignore


def 	UpperCAmelCase__      (      UpperCAmelCase__ :Dict ,					UpperCAmelCase__ :str ,					UpperCAmelCase__ :int					):






 '''simple docstring'''

 a						=		x
 a						=		y
 for step in range(UpperCAmelCase__					):  # noqa: B007
  a						=		a * a - b * b + x
  a						=		2 * a * b + y
  a						=		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 	UpperCAmelCase__      (      UpperCAmelCase__ :str					):






 '''simple docstring'''

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


def 	UpperCAmelCase__      (      UpperCAmelCase__ :List[Any]					):






 '''simple docstring'''

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


def 	UpperCAmelCase__      (      UpperCAmelCase__ :List[Any] = 8_00 ,					UpperCAmelCase__ :Tuple = 6_00 ,					UpperCAmelCase__ :Any = -0.6 ,					UpperCAmelCase__ :List[Any] = 0 ,					UpperCAmelCase__ :Union[str, Any] = 3.2 ,					UpperCAmelCase__ :List[Any] = 50 ,					UpperCAmelCase__ :int = True ,					):






 '''simple docstring'''

 a						=		Image.new("RGB" ,					(image_width, image_height)					)
 a						=		img.load()

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

   a						=		get_distance(UpperCAmelCase__ ,					UpperCAmelCase__ ,					UpperCAmelCase__					)

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

 return img


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     # colored version, full figure
     A_		:     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 copy
import os

import cva
import numpy as np
from matplotlib import pyplot as plt



class 		_lowercase		:

   def __init__(      self			:       List[str]							)       ->				List[str]:


    """simple docstring"""






    a						=		""
    a						=		""
    a						=		[]
    a						=		0
    a						=		256
    a						=		0
    a						=		0
    a						=		0
    a						=		0

   def 		A							(      self			:       Optional[Any]							,   __lowerCAmelCase			:       Any							)       ->				int:


    """simple docstring"""






    a						=		cva.imread(__lowerCAmelCase							,   0							)
    a						=		copy.deepcopy(self.img							)
    a		,  a		,  a						=		plt.hist(self.img.ravel()							,   256							,   [0, 256]							,   label="x"							)
    a						=		np.sum(__lowerCAmelCase							)
    for i in range(len(__lowerCAmelCase							)							):
     a						=		x[i] / self.k
     self.sk += prk
     a						=		(self.L - 1) * self.sk
     if self.rem != 0:
      a						=		int(last % last							)
     a						=		int(last + 1 if self.rem >= 0.5 else last							)
     self.last_list.append(__lowerCAmelCase							)
     a						=		int(np.ma.count(self.img							) / self.img[1].size							)
     a						=		self.img[1].size
    for i in range(self.number_of_cols							):
     for j in range(self.number_of_rows							):
      a						=		self.img[j][i]
      if num != self.last_list[num]:
       a						=		self.last_list[num]
    cva.imwrite("output_data/output.jpg"							,   self.img							)

   def 		A							(      self			:       Any							)       ->				int:


    """simple docstring"""






    plt.hist(self.img.ravel()							,   256							,   [0, 256]							)




   def 		A							(      self			:       Any							)       ->				int:


    """simple docstring"""






    cva.imshow("Output-Image"							,   self.img							)
    cva.imshow("Input-Image"							,   self.original_image							)
    cva.waitKey(5000							)
    cva.destroyAllWindows()


if __name__ == "__main__":
     A_		:     List[Any]        =     os.path.join(os.path.basename(__file__), '''image_data/input.jpg''')
     A_		:     int        =     ConstantStretch()
     stretcher.stretch(file_path)
     stretcher.plot_histogram()
     stretcher.show_image()

