






"""simple docstring"""





from argparse import ArgumentParser

from . import BaseTransformersCLICommand
def      a__			(   lowerCAmelCase__   ):
      return DownloadCommand(args.model			,    args.cache_dir			,    args.force			,    args.trust_remote_code   )


class    lowercase__     (					lowercase_   ):







       '''simple docstring'''


       @staticmethod
       def   lowercase__       (							_UpperCAmelCase    :						List[Any]					)				->		List[Any]:


             '''simple docstring'''




             UpperCAmelCase_    				=							parser.add_parser("download"					)
             download_parser.add_argument(
                 "--cache-dir"	,       type=_UpperCAmelCase	,       default=_UpperCAmelCase	,       help="Path to location to store the models"					)
             download_parser.add_argument(
                 "--force"	,       action="store_true"	,       help="Force the model to be download even if already in cache-dir"					)
             download_parser.add_argument(
                 "--trust-remote-code"	,       action="store_true"	,       help="Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine"	,       )
             download_parser.add_argument("model"	,       type=_UpperCAmelCase	,       help="Name of the model to download"					)
             download_parser.set_defaults(func=_UpperCAmelCase					)



       def __init__(							self    :						int	,       _UpperCAmelCase    :						Any	,       _UpperCAmelCase    :						Optional[Any]	,       _UpperCAmelCase    :						Any	,       _UpperCAmelCase    :						str					)				->		str:


             '''simple docstring'''




             UpperCAmelCase_    				=							model
             UpperCAmelCase_    				=							cache
             UpperCAmelCase_    				=							force
             UpperCAmelCase_    				=							trust_remote_code







       def   lowercase__       (							self    :						int					)				->		List[str]:


             '''simple docstring'''




             from ..models.auto import AutoModel, AutoTokenizer

             AutoModel.from_pretrained(
                 self._model	,       cache_dir=self._cache	,       force_download=self._force	,       trust_remote_code=self._trust_remote_code					)
             AutoTokenizer.from_pretrained(
                 self._model	,       cache_dir=self._cache	,       force_download=self._force	,       trust_remote_code=self._trust_remote_code					)









"""simple docstring"""





import colorsys

from PIL import Image  # type: ignore
def      a__			(   lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   ):
      UpperCAmelCase_    				=							x
      UpperCAmelCase_    				=							y
      for step in range(lowerCAmelCase__   ):  # noqa: B007
            UpperCAmelCase_    				=							a * a - b * b + x
            UpperCAmelCase_    				=							2 * a * b + y
            UpperCAmelCase_    				=							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      a__			(   lowerCAmelCase__   ):
      if distance == 1:
            return (0, 0, 0)
      else:
            return (255, 255, 255)
def      a__			(   lowerCAmelCase__   ):
      if distance == 1:
            return (0, 0, 0)
      else:
            return tuple(round(i * 255   ) for i in colorsys.hsv_to_rgb(lowerCAmelCase__			,    1			,    1   )   )
def      a__			(   lowerCAmelCase__ = 800			,    lowerCAmelCase__ = 600			,    lowerCAmelCase__ = -0.6			,    lowerCAmelCase__ = 0			,    lowerCAmelCase__ = 3.2			,    lowerCAmelCase__ = 50			,    lowerCAmelCase__ = True			,    ):
      UpperCAmelCase_    				=							Image.new("RGB"			,    (image_width, image_height)   )
      UpperCAmelCase_    				=							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
                  UpperCAmelCase_    				=							figure_width / image_width * image_height
                  UpperCAmelCase_    				=							figure_center_x + (image_x / image_width - 0.5) * figure_width
                  UpperCAmelCase_    				=							figure_center_y + (image_y / image_height - 0.5) * figure_height

                  UpperCAmelCase_    				=							get_distance(lowerCAmelCase__			,    lowerCAmelCase__			,    lowerCAmelCase__   )

                  # color the corresponding pixel based on the selected coloring-function
                  if use_distance_color_coding:
                        UpperCAmelCase_    				=							get_color_coded_rgb(lowerCAmelCase__   )
                  else:
                        UpperCAmelCase_    				=							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()




