import colorsys

from PIL import Image  # type: ignore







def __UpperCamelCase(   _A					:				float  ,			_A					:				float  ,			_A					:				int    ):
   '''simple docstring'''
   UpperCAmelCase__							:				Any   				=  x
   UpperCAmelCase__							:				Tuple   				=  y
   for step in range(lowerCAmelCase__    ):  # noqa: B007
      UpperCAmelCase__							:				str   				=  a * a - b * b + x
      UpperCAmelCase__							:				Any   				=  2 * a * b + y
      UpperCAmelCase__							:				int   				=  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(   _A					:				float    ):
   '''simple docstring'''







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







def __UpperCamelCase(   _A					:				float    ):
   '''simple docstring'''







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







def __UpperCamelCase(   _A					:				int = 8_00  ,			_A					:				int = 6_00  ,			_A					:				float = -0.6  ,			_A					:				float = 0  ,			_A					:				float = 3.2  ,			_A					:				int = 50  ,			_A					:				bool = True  ,			):
   '''simple docstring'''
   UpperCAmelCase__							:				Optional[Any]   				=  Image.new('''RGB'''  ,			(image_width, image_height)    )
   UpperCAmelCase__							:				List[str]   				=  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__							:				List[str]   				=  figure_width / image_width * image_height
         UpperCAmelCase__							:				List[Any]   				=  figure_center_x + (image_x / image_width - 0.5) * figure_width
         UpperCAmelCase__							:				Optional[Any]   				=  figure_center_y + (image_y / image_height - 0.5) * figure_height

         UpperCAmelCase__							:				str   				=  get_distance(lowerCAmelCase__  ,			lowerCAmelCase__  ,			lowerCAmelCase__    )

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

   return img


if __name__ == "__main__":
  import doctest

  doctest.testmod()

  # colored version, full figure
  UpperCamelCase__     :	Optional[int]				=			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'''

import json
import os
from typing import Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__     :	int				=			logging.get_logger(__name__)

UpperCamelCase__     :	Optional[Any]				=			{'vocab_file': 'vocab.json'}

UpperCamelCase__     :	Tuple				=			{
    'vocab_file': {
        'mgp-str': 'https://huggingface.co/alibaba-damo/mgp-str-base/blob/main/vocab.json',
    }
}

UpperCamelCase__     :	List[Any]				=			{'mgp-str': 27}


class 				_lowercase	(      lowerCAmelCase   ):
      '''simple docstring'''


      UpperCAmelCase_      :      Any      							=   VOCAB_FILES_NAMES
      UpperCAmelCase_      :      Dict      							=   PRETRAINED_VOCAB_FILES_MAP
      UpperCAmelCase_      :      int      							=   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES




      def __init__(				self					,lowerCamelCase_					,lowerCamelCase_="[GO]"					,lowerCamelCase_="[GO]"					,lowerCamelCase_="[s]"					,lowerCamelCase_="[GO]"					,**lowerCamelCase_							)			->			str:



         '''simple docstring'''



         super().__init__(
             unk_token=lowerCamelCase_					,bos_token=lowerCamelCase_					,eos_token=lowerCamelCase_					,pad_token=lowerCamelCase_					,**lowerCamelCase_					,)

         with open(lowerCamelCase_					,encoding='''utf-8'''							) as vocab_handle:
            UpperCAmelCase__							:				Optional[Any]   				=  json.load(lowerCamelCase_							)
         UpperCAmelCase__							:				Any   				=  {v: k for k, v in self.vocab.items()}




      @property
      def 		lowerCAmelCase__					(				self							)			->			Tuple:



         '''simple docstring'''



         return len(self.vocab							)




      def 		lowerCAmelCase__					(				self							)			->			Dict:



         '''simple docstring'''



         return dict(self.vocab					,**self.added_tokens_encoder							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			Any:



         '''simple docstring'''



         UpperCAmelCase__							:				List[Any]   				=  []
         for s in text:
            char_tokens.extend(lowerCamelCase_							)
         return char_tokens




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			str:



         '''simple docstring'''



         return self.vocab.get(lowerCamelCase_					,self.vocab.get(self.unk_token							)							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_							)			->			Any:



         '''simple docstring'''



         return self.decoder.get(lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_					,lowerCamelCase_ = None							)			->			Tuple[str]:



         '''simple docstring'''



         if not os.path.isdir(lowerCamelCase_							):
            logger.error('''Vocabulary path ({}) should be a directory'''.format(lowerCamelCase_							)							)
            return
         UpperCAmelCase__							:				Union[str, Any]   				=  os.path.join(
             lowerCamelCase_					,(filename_prefix + '''-''' if filename_prefix else '''''') + VOCAB_FILES_NAMES['''vocab_file''']							)

         with open(lowerCamelCase_					,'''w'''					,encoding='''utf-8'''							) as f:
            f.write(json.dumps(self.vocab					,indent=2					,sort_keys=lowerCamelCase_					,ensure_ascii=lowerCamelCase_							) + '''\n'''							)

         return (vocab_file,)




