
import colorsys

from PIL import Image  # type: ignore


def      UpperCamelCase   (       __lowerCamelCase	:					float							,   __lowerCamelCase	:					float							,   __lowerCamelCase	:					int       ):
       snake_case			:  int     							= x
       snake_case			:  Tuple     							= y
       for step in range(__lowerCamelCase       ):  # noqa: B007
              snake_case			:  int     							= a * a - b * b + x
              snake_case			:  Union[str, Any]     							= 2 * a * b + y
              snake_case			:  str     							= 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   (       __lowerCamelCase	:					float       ):
       if distance == 1:
              return (0, 0, 0)
       else:
              return (255, 255, 255)


def      UpperCamelCase   (       __lowerCamelCase	:					float       ):
       if distance == 1:
              return (0, 0, 0)
       else:
              return tuple(round(i * 255       ) for i in colorsys.hsv_to_rgb(__lowerCamelCase							,   1							,   1       )       )


def      UpperCamelCase   (       __lowerCamelCase	:					int = 800							,   __lowerCamelCase	:					int = 600							,   __lowerCamelCase	:					float = -0.6							,   __lowerCamelCase	:					float = 0							,   __lowerCamelCase	:					float = 3.2							,   __lowerCamelCase	:					int = 50							,   __lowerCamelCase	:					bool = True							,   ):
       snake_case			:  List[Any]     							= Image.new("RGB"							,   (image_width, image_height)       )
       snake_case			:  Optional[Any]     							= img.load()

       # loop through the image-coordinates
       for image_x in range(__lowerCamelCase       ):
              for image_y in range(__lowerCamelCase       ):
                     # determine the figure-coordinates based on the image-coordinates
                     snake_case			:  Any     							= figure_width / image_width * image_height
                     snake_case			:  List[str]     							= figure_center_x + (image_x / image_width - 0.5) * figure_width
                     snake_case			:  str     							= figure_center_y + (image_y / image_height - 0.5) * figure_height

                     snake_case			:  Tuple     							= get_distance(__lowerCamelCase							,   __lowerCamelCase							,   __lowerCamelCase       )

                     # color the corresponding pixel based on the selected coloring-function
                     if use_distance_color_coding:
                            snake_case			:  Dict     							= get_color_coded_rgb(__lowerCamelCase       )
                     else:
                            snake_case			:  str     							= get_black_and_white_rgb(__lowerCamelCase       )

       return img


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   # colored version, full figure
   __lowerCamelCase				=			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()







from typing import TYPE_CHECKING

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


__lowerCamelCase				=			{
    """configuration_chinese_clip""": [
        """CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """ChineseCLIPConfig""",
        """ChineseCLIPOnnxConfig""",
        """ChineseCLIPTextConfig""",
        """ChineseCLIPVisionConfig""",
    ],
    """processing_chinese_clip""": ["""ChineseCLIPProcessor"""],
}

try:
   if not is_vision_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase				=			["""ChineseCLIPFeatureExtractor"""]
   __lowerCamelCase				=			["""ChineseCLIPImageProcessor"""]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   __lowerCamelCase				=			[
       """CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST""",
       """ChineseCLIPModel""",
       """ChineseCLIPPreTrainedModel""",
       """ChineseCLIPTextModel""",
       """ChineseCLIPVisionModel""",
   ]

if TYPE_CHECKING:
   from .configuration_chinese_clip import (
       CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
       ChineseCLIPConfig,
       ChineseCLIPOnnxConfig,
       ChineseCLIPTextConfig,
       ChineseCLIPVisionConfig,
   )
   from .processing_chinese_clip import ChineseCLIPProcessor

   try:
      if not is_vision_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .feature_extraction_chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_chinese_clip import (
          CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
          ChineseCLIPModel,
          ChineseCLIPPreTrainedModel,
          ChineseCLIPTextModel,
          ChineseCLIPVisionModel,
      )

else:
   import sys

   __lowerCamelCase				=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





