code: 
  
  
  import os
  import tempfile
  import unittest
  from typing import List
  
  from transformers.models.esm.tokenization_esm import VOCAB_FILES_NAMES, EsmTokenizer
  from transformers.testing_utils import require_tokenizers
  from transformers.tokenization_utils import PreTrainedTokenizer
  from transformers.tokenization_utils_base import PreTrainedTokenizerBase
  
  
  @require_tokenizers
  class 		_SCREAMING_SNAKE_CASE    (	unittest.TestCase    ):
       __SCREAMING_SNAKE_CASE    				=						EsmTokenizer
  
  
       def 					__snake_case(     self						):
         super().setUp()
         _UpperCAmelCase		:       Any       =    tempfile.mkdtemp()
         # fmt: off
         _UpperCAmelCase		:       List[str]       =    ["<cls>", "<pad>", "<eos>", "<unk>", "L", "A", "G", "V", "S", "E", "R", "T", "I", "D", "P", "K", "Q", "N", "F", "Y", "M", "H", "W", "C", "X", "B", "U", "Z", "O", ".", "-", "<null_1>", "<mask>"]  # noqa: E501
         # fmt: on
         _UpperCAmelCase		:       Optional[int]       =    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]						)						)
  
  
       def 					__snake_case(     self       ,				**A_						):
         return [self.get_tokenizer(**A_						)]
  
  
       def 					__snake_case(     self       ,				**A_						):
         return self.tokenizer_class.from_pretrained(self.tmpdirname       ,				**A_						)
  
  
       def 					__snake_case(     self						):
         _UpperCAmelCase		:       str       =    self.tokenizer_class(self.vocab_file						)
  
         _UpperCAmelCase		:       Tuple       =    tokenizer.tokenize("""LAGVS"""						)
         self.assertListEqual(A_       ,				["""L""", """A""", """G""", """V""", """S"""]						)
         self.assertListEqual(tokenizer.convert_tokens_to_ids(A_						)       ,				[4, 5, 6, 7, 8]						)
  
  
       def 					__snake_case(     self						):
         _UpperCAmelCase		:       List[Any]       =    self.tokenizer_class(self.vocab_file						)
  
         _UpperCAmelCase		:       Optional[Any]       =    """LAGVS"""
         self.assertListEqual(tokenizer.encode(A_						)       ,				[0, 4, 5, 6, 7, 8, 2]						)
  
  
       def 					__snake_case(     self						):
         _UpperCAmelCase		:       Tuple       =    self.tokenizer_class(self.vocab_file						)
  
         _UpperCAmelCase		:       List[str]       =    ["""LAGVS""", """WCB"""]
         _UpperCAmelCase		:       List[Any]       =    tokenizer(A_       ,				padding=A_						)["""input_ids"""]
  
         self.assertListEqual(A_       ,				[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2]]						)
  
  
       def 					__snake_case(     self						):
         _UpperCAmelCase		:       Union[str, Any]       =    self.tokenizer_class(self.vocab_file						)
  
         _UpperCAmelCase		:       str       =    ["""LAGVS""", """WCB"""]
         _UpperCAmelCase		:       str       =    tokenizer(A_       ,				padding=A_						)["""input_ids"""]
  
         self.assertListEqual(A_       ,				[[0, 4, 5, 6, 7, 8, 2], [0, 22, 23, 25, 2, 1, 1]]						)
  
  
  
  
       def 					__snake_case(     self						):
         _UpperCAmelCase		:       List[Any]       =    self.get_tokenizers(fast=A_						)
         for tokenizer in tokenizers:
           with self.subTest(F'''{tokenizer.__class__.__name__}'''						):
             _UpperCAmelCase		:       str       =    """<unk>"""
             _UpperCAmelCase		:       List[Any]       =    """<mask>"""
  
             _UpperCAmelCase		:       Optional[int]       =    tokenizer.tokenize(A_						)
             _UpperCAmelCase		:       Union[str, Any]       =    tokenizer.tokenize(A_						)
  
             self.assertEqual(len(A_						)       ,				1						)
             self.assertEqual(len(A_						)       ,				1						)
             self.assertEqual(token_a[0]       ,				A_						)
             self.assertEqual(token_a[0]       ,				A_						)
  
  
  
  
  
  
style_context: 
  
  
  import os
  
  import requests
  from bsa import BeautifulSoup
  from fake_useragent import UserAgent
  
  SCREAMING_SNAKE_CASE__				:    int         =    {'UserAgent': UserAgent().random}
  SCREAMING_SNAKE_CASE__				:    Tuple         =    'https://www.mywaifulist.moe/random'
  
  
  
  
  def       a__						(		snake_case__				:       str	,      snake_case__				:       str    ):
    _UpperCAmelCase		:       Any       =    requests.get(snake_case__	,      headers=snake_case__    )
    with open(snake_case__	,      """wb"""    ) as file:
      file.write(image.content    )
  
  
  
  
  def       a__						(		):
    _UpperCAmelCase		:       List[Any]       =    BeautifulSoup(requests.get(snake_case__	,      headers=snake_case__    ).text	,      """html.parser"""    )
    _UpperCAmelCase		:       Optional[int]       =    soup.find("""meta"""	,      attrs={"""property""": """og:title"""}    ).attrs["""content"""]
    _UpperCAmelCase		:       int       =    soup.find("""meta"""	,      attrs={"""property""": """og:image"""}    ).attrs["""content"""]
    _UpperCAmelCase		:       Any       =    soup.find("""p"""	,      id="""description"""    ).get_text()
    _UpperCAmelCase,_UpperCAmelCase		:       Dict       =    os.path.splitext(os.path.basename(snake_case__    )    )
    _UpperCAmelCase		:       Tuple       =    title.strip().replace(""" """	,      """_"""    )
    _UpperCAmelCase		:       Optional[Any]       =    f'''{image_title}{image_extension}'''
    save_image(snake_case__	,      snake_case__    )
    return (title, description, image_title)
  
  
  if __name__ == "__main__":
   SCREAMING_SNAKE_CASE__     ,				SCREAMING_SNAKE_CASE__     ,				SCREAMING_SNAKE_CASE__				:    Optional[int]         =    random_anime_character()
   print(F'{title}\n\n{desc}\n\nImage saved : {image_title}')
  
  
  
  
  
  