'''simple docstring'''

import json
import os
import unittest

from transformers import MgpstrTokenizer
from transformers.models.mgp_str.tokenization_mgp_str import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class     __UpperCAmelCase       ( __a						,       unittest.TestCase		):
  __A :				Dict											= MgpstrTokenizer
  __A :				Optional[Any]											= False
  __A :				Dict											= {}
  __A :				Union[str, Any]											= False





  def 						UpperCAmelCase_	(	self ):
     super().setUp()

     # fmt: off
     lowerCAmelCase_			=      ['''[GO]''', '''[s]''', '''0''', '''1''', '''2''', '''3''', '''4''', '''5''', '''6''', '''7''', '''8''', '''9''', '''a''', '''b''', '''c''', '''d''', '''e''', '''f''', '''g''', '''h''', '''i''', '''j''', '''k''', '''l''', '''m''', '''n''', '''o''', '''p''', '''q''', '''r''', '''s''', '''t''', '''u''', '''v''', '''w''', '''x''', '''y''', '''z''']
     # fmt: on
     lowerCAmelCase_			=      dict(zip(_lowerCamelCase    ,     range(len(_lowerCamelCase ) ) ) )

     lowerCAmelCase_			=      os.path.join(self.tmpdirname    ,     VOCAB_FILES_NAMES['''vocab_file'''] )
     with open(self.vocab_file    ,     '''w'''    ,     encoding='''utf-8''' ) as fp:
        fp.write(json.dumps(_lowerCamelCase ) + '''\n''' )





  def 						UpperCAmelCase_	(	self    ,     **_lowerCamelCase ):
     return MgpstrTokenizer.from_pretrained(self.tmpdirname    ,     **_lowerCamelCase )





  def 						UpperCAmelCase_	(	self    ,     _lowerCamelCase ):
     lowerCAmelCase_			=      '''tester'''
     lowerCAmelCase_			=      '''tester'''
     return input_text, output_text





  @unittest.skip('''MGP-STR always lower cases letters.''' )
  def 						UpperCAmelCase_	(	self ):
     pass





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      self.get_tokenizers(do_lower_case=_lowerCamelCase )
     for tokenizer in tokenizers:
        with self.subTest(F'''{tokenizer.__class__.__name__}''' ):
           lowerCAmelCase_			=      '''[SPECIAL_TOKEN]'''

           tokenizer.add_special_tokens({'''cls_token''': special_token} )
           lowerCAmelCase_			=      tokenizer.encode([special_token]    ,     add_special_tokens=_lowerCamelCase )
           self.assertEqual(len(_lowerCamelCase )    ,     1 )

           lowerCAmelCase_			=      tokenizer.decode(_lowerCamelCase    ,     skip_special_tokens=_lowerCamelCase )
           self.assertTrue(special_token not in decoded )





  def 						UpperCAmelCase_	(	self ):
     lowerCAmelCase_			=      self.get_tokenizers()
     for tokenizer in tokenizers:
        with self.subTest(F'''{tokenizer.__class__.__name__}''' ):
           lowerCAmelCase_	,lowerCAmelCase_			=      self.get_input_output_texts(_lowerCamelCase )

           lowerCAmelCase_			=      tokenizer.tokenize(_lowerCamelCase )
           lowerCAmelCase_			=      tokenizer.convert_tokens_to_ids(_lowerCamelCase )
           lowerCAmelCase_			=      tokenizer.encode(_lowerCamelCase    ,     add_special_tokens=_lowerCamelCase )
           self.assertListEqual(_lowerCamelCase    ,     _lowerCamelCase )

           lowerCAmelCase_			=      tokenizer.convert_ids_to_tokens(_lowerCamelCase )
           self.assertNotEqual(len(_lowerCamelCase )    ,     0 )
           lowerCAmelCase_			=      tokenizer.decode(_lowerCamelCase )
           self.assertIsInstance(_lowerCamelCase    ,     _lowerCamelCase )

           self.assertEqual(text_a.replace(''' '''    ,     '''''' )    ,     _lowerCamelCase )





  @unittest.skip('''MGP-STR tokenizer only handles one sequence.''' )
  def 						UpperCAmelCase_	(	self ):
     pass







  @unittest.skip('''inputs cannot be pretokenized in MgpstrTokenizer''' )
  def 						UpperCAmelCase_	(	self ):
     pass






'''simple docstring'''

import colorsys

from PIL import Image  # type: ignore



def snake_case_      (					__snake_case  :							float	,   __snake_case  :							float	,   __snake_case  :							int)			->					float:
   lowerCAmelCase_			=      x
   lowerCAmelCase_			=      y
   for step in range(__snake_case):  # noqa: B007
      lowerCAmelCase_			=      a * a - b * b + x
      lowerCAmelCase_			=      2 * a * b + y
      lowerCAmelCase_			=      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 snake_case_      (					__snake_case  :							float)			->					tuple:
   if distance == 1:
      return (0, 0, 0)
   else:
      return (255, 255, 255)



def snake_case_      (					__snake_case  :							float)			->					tuple:
   if distance == 1:
      return (0, 0, 0)
   else:
      return tuple(round(i * 255) for i in colorsys.hsv_to_rgb(__snake_case	,   1	,   1))



def snake_case_      (					__snake_case  :							int = 800	,   __snake_case  :							int = 600	,   __snake_case  :							float = -0.6	,   __snake_case  :							float = 0	,   __snake_case  :							float = 3.2	,   __snake_case  :							int = 50	,   __snake_case  :							bool = True	,   )			->					Image.Image:
   lowerCAmelCase_			=      Image.new('''RGB'''	,   (image_width, image_height))
   lowerCAmelCase_			=      img.load()

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

         lowerCAmelCase_			=      get_distance(__snake_case	,   __snake_case	,   __snake_case)

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

   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()





