


'''simple docstring'''






import os
import unittest

from transformers import MobileBertTokenizer, MobileBertTokenizerFast
from transformers.models.bert.tokenization_bert import (
    VOCAB_FILES_NAMES,
    BasicTokenizer,
    WordpieceTokenizer,
    _is_control,
    _is_punctuation,
    _is_whitespace,
)
from transformers.testing_utils import require_tokenizers, slow

from ...test_tokenization_common import TokenizerTesterMixin, filter_non_english




@require_tokenizers
class 	a       (       __A					,			unittest.TestCase    ):
 _lowerCAmelCase	   =		MobileBertTokenizer
 _lowerCAmelCase	   =		MobileBertTokenizerFast
 _lowerCAmelCase	   =		True
 _lowerCAmelCase	   =		True
 _lowerCAmelCase	   =		filter_non_english
 _lowerCAmelCase	   =		'google/mobilebert-uncased'
 def 							__UpperCAmelCase						(	self  )   ->							Optional[Any]:
      super().setUp()

      _a      =							[
          '[UNK]',
          '[CLS]',
          '[SEP]',
          '[PAD]',
          '[MASK]',
          'want',
          '##want',
          '##ed',
          'wa',
          'un',
          'runn',
          '##ing',
          ',',
          'low',
          'lowest',
      ]
      _a      =							os.path.join(self.tmpdirname ,			VOCAB_FILES_NAMES['vocab_file']  )
      with open(self.vocab_file ,			'w' ,			encoding='utf-8'  ) as vocab_writer:
           vocab_writer.write(''.join([x + '\n' for x in vocab_tokens]  )  )

      _a      =							[
          (tokenizer_def[0], self.pre_trained_model_path, tokenizer_def[2])  # else the 'google/' prefix is stripped
          for tokenizer_def in self.tokenizers_list
      ]
 def 							__UpperCAmelCase						(	self ,			__magic_name__  )   ->							Dict:
      _a      =							'UNwant\u00E9d,running'
      _a      =							'unwanted, running'
      return input_text, output_text
 def 							__UpperCAmelCase						(	self  )   ->							str:
      _a      =							self.tokenizer_class(self.vocab_file  )

      _a      =							tokenizer.tokenize('UNwant\u00E9d,running'  )
      self.assertListEqual(__lowercase ,			['un', '##want', '##ed', ',', 'runn', '##ing']  )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase  ) ,			[9, 6, 7, 12, 10, 11]  )
 def 							__UpperCAmelCase						(	self  )   ->							Any:
      if not self.test_rust_tokenizer:
           return

      _a      =							self.get_tokenizer()
      _a      =							self.get_rust_tokenizer()

      _a      =							'UNwant\u00E9d,running'

      _a      =							tokenizer.tokenize(__lowercase  )
      _a      =							rust_tokenizer.tokenize(__lowercase  )
      self.assertListEqual(__lowercase ,			__lowercase  )

      _a      =							tokenizer.encode(__lowercase ,			add_special_tokens=__lowercase  )
      _a      =							rust_tokenizer.encode(__lowercase ,			add_special_tokens=__lowercase  )
      self.assertListEqual(__lowercase ,			__lowercase  )

      _a      =							self.get_rust_tokenizer()
      _a      =							tokenizer.encode(__lowercase  )
      _a      =							rust_tokenizer.encode(__lowercase  )
      self.assertListEqual(__lowercase ,			__lowercase  )

      # With lower casing
      _a      =							self.get_tokenizer(do_lower_case=__lowercase  )
      _a      =							self.get_rust_tokenizer(do_lower_case=__lowercase  )

      _a      =							'UNwant\u00E9d,running'

      _a      =							tokenizer.tokenize(__lowercase  )
      _a      =							rust_tokenizer.tokenize(__lowercase  )
      self.assertListEqual(__lowercase ,			__lowercase  )

      _a      =							tokenizer.encode(__lowercase ,			add_special_tokens=__lowercase  )
      _a      =							rust_tokenizer.encode(__lowercase ,			add_special_tokens=__lowercase  )
      self.assertListEqual(__lowercase ,			__lowercase  )

      _a      =							self.get_rust_tokenizer()
      _a      =							tokenizer.encode(__lowercase  )
      _a      =							rust_tokenizer.encode(__lowercase  )
      self.assertListEqual(__lowercase ,			__lowercase  )
 def 							__UpperCAmelCase						(	self  )   ->							List[Any]:
      _a      =							BasicTokenizer()

      self.assertListEqual(tokenizer.tokenize('ah\u535A\u63A8zz'  ) ,			['ah', '\u535A', '\u63A8', 'zz']  )
 def 							__UpperCAmelCase						(	self  )   ->							Optional[int]:
      _a      =							BasicTokenizer(do_lower_case=__lowercase  )

      self.assertListEqual(
          tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '  ) ,			['hello', '!', 'how', 'are', 'you', '?']  )
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo'  ) ,			['hello']  )
 def 							__UpperCAmelCase						(	self  )   ->							List[Any]:
      _a      =							BasicTokenizer(do_lower_case=__lowercase ,			strip_accents=__lowercase  )

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '  ) ,			['hällo', '!', 'how', 'are', 'you', '?']  )
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo'  ) ,			['h\u00E9llo']  )
 def 							__UpperCAmelCase						(	self  )   ->							List[Any]:
      _a      =							BasicTokenizer(do_lower_case=__lowercase ,			strip_accents=__lowercase  )

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '  ) ,			['hallo', '!', 'how', 'are', 'you', '?']  )
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo'  ) ,			['hello']  )
 def 							__UpperCAmelCase						(	self  )   ->							List[str]:
      _a      =							BasicTokenizer(do_lower_case=__lowercase  )

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '  ) ,			['hallo', '!', 'how', 'are', 'you', '?']  )
      self.assertListEqual(tokenizer.tokenize('H\u00E9llo'  ) ,			['hello']  )
 def 							__UpperCAmelCase						(	self  )   ->							Optional[int]:
      _a      =							BasicTokenizer(do_lower_case=__lowercase  )

      self.assertListEqual(
          tokenizer.tokenize(' \tHeLLo!how  \n Are yoU?  '  ) ,			['HeLLo', '!', 'how', 'Are', 'yoU', '?']  )
 def 							__UpperCAmelCase						(	self  )   ->							List[Any]:
      _a      =							BasicTokenizer(do_lower_case=__lowercase ,			strip_accents=__lowercase  )

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '  ) ,			['HäLLo', '!', 'how', 'Are', 'yoU', '?']  )
 def 							__UpperCAmelCase						(	self  )   ->							Dict:
      _a      =							BasicTokenizer(do_lower_case=__lowercase ,			strip_accents=__lowercase  )

      self.assertListEqual(
          tokenizer.tokenize(' \tHäLLo!how  \n Are yoU?  '  ) ,			['HaLLo', '!', 'how', 'Are', 'yoU', '?']  )
 def 							__UpperCAmelCase						(	self  )   ->							Dict:
      _a      =							BasicTokenizer(do_lower_case=__lowercase ,			never_split=['[UNK]']  )

      self.assertListEqual(
          tokenizer.tokenize(' \tHeLLo!how  \n Are yoU? [UNK]'  ) ,			['HeLLo', '!', 'how', 'Are', 'yoU', '?', '[UNK]']  )
 def 							__UpperCAmelCase						(	self  )   ->							int:
      _a      =							['[UNK]', '[CLS]', '[SEP]', 'want', '##want', '##ed', 'wa', 'un', 'runn', '##ing']

      _a      =							{}
      for i, token in enumerate(__lowercase  ):
           _a      =							i
      _a      =							WordpieceTokenizer(vocab=__lowercase ,			unk_token='[UNK]'  )

      self.assertListEqual(tokenizer.tokenize(''  ) ,			[]  )

      self.assertListEqual(tokenizer.tokenize('unwanted running'  ) ,			['un', '##want', '##ed', 'runn', '##ing']  )

      self.assertListEqual(tokenizer.tokenize('unwantedX running'  ) ,			['[UNK]', 'runn', '##ing']  )
 def 							__UpperCAmelCase						(	self  )   ->							str:
      self.assertTrue(_is_whitespace(' '  )  )
      self.assertTrue(_is_whitespace('\t'  )  )
      self.assertTrue(_is_whitespace('\r'  )  )
      self.assertTrue(_is_whitespace('\n'  )  )
      self.assertTrue(_is_whitespace('\u00A0'  )  )

      self.assertFalse(_is_whitespace('A'  )  )
      self.assertFalse(_is_whitespace('-'  )  )
 def 							__UpperCAmelCase						(	self  )   ->							List[Any]:
      self.assertTrue(_is_control('\u0005'  )  )

      self.assertFalse(_is_control('A'  )  )
      self.assertFalse(_is_control(' '  )  )
      self.assertFalse(_is_control('\t'  )  )
      self.assertFalse(_is_control('\r'  )  )
 def 							__UpperCAmelCase						(	self  )   ->							Union[str, Any]:
      self.assertTrue(_is_punctuation('-'  )  )
      self.assertTrue(_is_punctuation('$'  )  )
      self.assertTrue(_is_punctuation('`'  )  )
      self.assertTrue(_is_punctuation('.'  )  )

      self.assertFalse(_is_punctuation('A'  )  )
      self.assertFalse(_is_punctuation(' '  )  )
 def 							__UpperCAmelCase						(	self  )   ->							str:
      _a      =							self.get_tokenizer()
      _a      =							self.get_rust_tokenizer()

      # Example taken from the issue https://github.com/huggingface/tokenizers/issues/340
      self.assertListEqual([tokenizer.tokenize(__lowercase  ) for t in ['Test', '\xad', 'test']] ,			[['[UNK]'], [], ['[UNK]']]  )

      self.assertListEqual(
          [rust_tokenizer.tokenize(__lowercase  ) for t in ['Test', '\xad', 'test']] ,			[['[UNK]'], [], ['[UNK]']]  )
 @slow
 def 							__UpperCAmelCase						(	self  )   ->							List[Any]:
      _a      =							self.tokenizer_class.from_pretrained('google/mobilebert-uncased'  )

      _a      =							tokenizer.encode('sequence builders' ,			add_special_tokens=__lowercase  )
      _a      =							tokenizer.encode('multi-sequence build' ,			add_special_tokens=__lowercase  )

      _a      =							tokenizer.build_inputs_with_special_tokens(__lowercase  )
      _a      =							tokenizer.build_inputs_with_special_tokens(__lowercase ,			__lowercase  )

      assert encoded_sentence == [1_01] + text + [1_02]
      assert encoded_pair == [1_01] + text + [1_02] + text_a + [1_02]
 def 							__UpperCAmelCase						(	self  )   ->							str:
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'  ):
                _a      =							self.rust_tokenizer_class.from_pretrained(__lowercase ,			**__lowercase  )

                _a      =							f'A, naïve {tokenizer_r.mask_token} AllenNLP sentence.'
                _a      =							tokenizer_r.encode_plus(
                    __lowercase ,			return_attention_mask=__lowercase ,			return_token_type_ids=__lowercase ,			return_offsets_mapping=__lowercase ,			add_special_tokens=__lowercase ,			)

                _a      =							tokenizer_r.do_lower_case if hasattr(__lowercase ,			'do_lower_case'  ) else False
                _a      =							(
                    [
                        ((0, 0), tokenizer_r.cls_token),
                        ((0, 1), 'A'),
                        ((1, 2), ','),
                        ((3, 5), 'na'),
                        ((5, 6), '##ï'),
                        ((6, 8), '##ve'),
                        ((9, 15), tokenizer_r.mask_token),
                        ((16, 21), 'Allen'),
                        ((21, 23), '##NL'),
                        ((23, 24), '##P'),
                        ((25, 33), 'sentence'),
                        ((33, 34), '.'),
                        ((0, 0), tokenizer_r.sep_token),
                    ]
                    if not do_lower_case
                    else [
                        ((0, 0), tokenizer_r.cls_token),
                        ((0, 1), 'a'),
                        ((1, 2), ','),
                        ((3, 8), 'naive'),
                        ((9, 15), tokenizer_r.mask_token),
                        ((16, 21), 'allen'),
                        ((21, 23), '##nl'),
                        ((23, 24), '##p'),
                        ((25, 33), 'sentence'),
                        ((33, 34), '.'),
                        ((0, 0), tokenizer_r.sep_token),
                    ]
                )

                self.assertEqual(
                    [e[1] for e in expected_results] ,			tokenizer_r.convert_ids_to_tokens(tokens['input_ids']  )  )
                self.assertEqual([e[0] for e in expected_results] ,			tokens['offset_mapping']  )




 def 							__UpperCAmelCase						(	self  )   ->							str:
      _a      =							['的', '人', '有']
      _a      =							''.join(__lowercase  )
      for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
           with self.subTest(f'{tokenizer.__class__.__name__} ({pretrained_name})'  ):
                _a      =							True
                _a      =							self.tokenizer_class.from_pretrained(__lowercase ,			**__lowercase  )
                _a      =							self.rust_tokenizer_class.from_pretrained(__lowercase ,			**__lowercase  )

                _a      =							tokenizer_p.encode(__lowercase ,			add_special_tokens=__lowercase  )
                _a      =							tokenizer_r.encode(__lowercase ,			add_special_tokens=__lowercase  )

                _a      =							tokenizer_r.convert_ids_to_tokens(__lowercase  )
                _a      =							tokenizer_p.convert_ids_to_tokens(__lowercase  )

                # it is expected that each Chinese character is not preceded by "##"
                self.assertListEqual(__lowercase ,			__lowercase  )
                self.assertListEqual(__lowercase ,			__lowercase  )

                _a      =							False
                _a      =							self.rust_tokenizer_class.from_pretrained(__lowercase ,			**__lowercase  )
                _a      =							self.tokenizer_class.from_pretrained(__lowercase ,			**__lowercase  )

                _a      =							tokenizer_r.encode(__lowercase ,			add_special_tokens=__lowercase  )
                _a      =							tokenizer_p.encode(__lowercase ,			add_special_tokens=__lowercase  )

                _a      =							tokenizer_r.convert_ids_to_tokens(__lowercase  )
                _a      =							tokenizer_p.convert_ids_to_tokens(__lowercase  )

                # it is expected that only the first Chinese character is not preceded by "##".
                _a      =							[
                    f'##{token}' if idx != 0 else token for idx, token in enumerate(__lowercase  )
                ]
                self.assertListEqual(__lowercase ,			__lowercase  )
                self.assertListEqual(__lowercase ,			__lowercase  )









'''simple docstring'''






import colorsys

from PIL import Image  # type: ignore






def 		_A			(lowerCAmelCase__					:float			,  lowerCAmelCase__					:float			,  lowerCAmelCase__					:int						)				->					float:




     '''simple docstring'''



     _a      =							x
     _a      =							y
     for step in range(lowerCAmelCase__						):  # noqa: B007
          _a      =							a * a - b * b + x
          _a      =							2 * a * b + y
          _a      =							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__					:float						)				->					tuple:




     '''simple docstring'''



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






def 		_A			(lowerCAmelCase__					:float						)				->					tuple:




     '''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 		_A			(lowerCAmelCase__					:int = 8_00			,  lowerCAmelCase__					:int = 6_00			,  lowerCAmelCase__					:float = -0.6			,  lowerCAmelCase__					:float = 0			,  lowerCAmelCase__					:float = 3.2			,  lowerCAmelCase__					:int = 50			,  lowerCAmelCase__					:bool = True			,  )				->					Image.Image:




     '''simple docstring'''



     _a      =							Image.new('RGB'			,  (image_width, image_height)						)
     _a      =							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
               _a      =							figure_width / image_width * image_height
               _a      =							figure_center_x + (image_x / image_width - 0.5) * figure_width
               _a      =							figure_center_y + (image_y / image_height - 0.5) * figure_height

               _a      =							get_distance(lowerCAmelCase__			,  lowerCAmelCase__			,  lowerCAmelCase__						)

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

     return img


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 # colored version, full figure
 a_   :      Optional[Any]				    =      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()

