

'''simple docstring'''

import colorsys

from PIL import Image  # type: ignore




def 				UpperCamelCase(					UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_     ):
 UpperCAmelCase	:     Optional[int]						 =			x
 UpperCAmelCase	:     List[Any]						 =			y
 for step in range(UpperCAmelCase_     ):  # noqa: B007
  UpperCAmelCase	:     Dict						 =			a * a - b * b + x
  UpperCAmelCase	:     Optional[Any]						 =			2 * a * b + y
  UpperCAmelCase	:     List[Any]						 =			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_     ):
 if distance == 1:
  return (0, 0, 0)
 else:
  return (2_55, 2_55, 2_55)




def 				UpperCamelCase(					UpperCAmelCase_     ):
 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_ = 8_00  ,	UpperCAmelCase_ = 6_00  ,	UpperCAmelCase_ = -0.6  ,	UpperCAmelCase_ = 0  ,	UpperCAmelCase_ = 3.2  ,	UpperCAmelCase_ = 50  ,	UpperCAmelCase_ = True  ,	):
 UpperCAmelCase	:     List[Any]						 =			Image.new('RGB'  ,	(image_width, image_height)     )
 UpperCAmelCase	:     List[Any]						 =			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
   UpperCAmelCase	:     List[str]						 =			figure_width / image_width * image_height
   UpperCAmelCase	:     Dict						 =			figure_center_x + (image_x / image_width - 0.5) * figure_width
   UpperCAmelCase	:     Any						 =			figure_center_y + (image_y / image_height - 0.5) * figure_height

   UpperCAmelCase	:     Any						 =			get_distance(UpperCAmelCase_  ,	UpperCAmelCase_  ,	UpperCAmelCase_     )

   # color the corresponding pixel based on the selected coloring-function
   if use_distance_color_coding:
    UpperCAmelCase	:     Optional[Any]						 =			get_color_coded_rgb(UpperCAmelCase_     )
   else:
    UpperCAmelCase	:     Optional[Any]						 =			get_black_and_white_rgb(UpperCAmelCase_     )

 return img


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 # colored version, full figure
 lowercase__         =      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()







'''simple docstring'''

from typing import TYPE_CHECKING

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


lowercase__         =      {"configuration_van": ["VAN_PRETRAINED_CONFIG_ARCHIVE_MAP", "VanConfig"]}


try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 lowercase__         =      [
     "VAN_PRETRAINED_MODEL_ARCHIVE_LIST",
     "VanForImageClassification",
     "VanModel",
     "VanPreTrainedModel",
 ]

if TYPE_CHECKING:
 from .configuration_van import VAN_PRETRAINED_CONFIG_ARCHIVE_MAP, VanConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_van import (
      VAN_PRETRAINED_MODEL_ARCHIVE_LIST,
      VanForImageClassification,
      VanModel,
      VanPreTrainedModel,
  )

else:
 import sys

 lowercase__         =      _LazyModule(__name__, globals()["__file__"], _import_structure)




