code: 
  
  
  '''simple docstring'''
  
  
  
  
  
  import os
  import unittest
  
  from transformers.models.bertweet.tokenization_bertweet import VOCAB_FILES_NAMES, BertweetTokenizer
  
  from ...test_tokenization_common import TokenizerTesterMixin
  
  
  
  
  
  
  
  class 				__SCREAMING_SNAKE_CASE   (			_SCREAMING_SNAKE_CASE  ,						unittest.TestCase   ):
        A				:							Optional[Any]    							=     BertweetTokenizer
        A				:							Optional[Any]    							=     False
  
  
        def        __lowerCamelCase			(							self		):
              super().setUp()
  
              # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
              lowercase			:   int					   =		['''I''', '''m''', '''V@@''', '''R@@''', '''r''', '''e@@''']
              lowercase			:   Any					   =		dict(zip(__A							,						range(len(__A		)		)		)		)
              lowercase			:   Tuple					   =		['''#version: 0.2''', '''a m</w>''']
              lowercase			:   Any					   =		{'''unk_token''': '''<unk>'''}
  
              lowercase			:   Optional[int]					   =		os.path.join(self.tmpdirname							,						VOCAB_FILES_NAMES['''vocab_file''']		)
              lowercase			:   Any					   =		os.path.join(self.tmpdirname							,						VOCAB_FILES_NAMES['''merges_file''']		)
              with open(self.vocab_file							,						'''w'''							,						encoding='''utf-8'''		) as fp:
                    for token in vocab_tokens:
                          fp.write(f"""{token} {vocab_tokens[token]}\n"""		)
              with open(self.merges_file							,						'''w'''							,						encoding='''utf-8'''		) as fp:
                    fp.write('''\n'''.join(__A		)		)
  
  
        def        __lowerCamelCase			(							self							,						**SCREAMING_SNAKE_CASE__		):
              kwargs.update(self.special_tokens_map		)
              return BertweetTokenizer.from_pretrained(self.tmpdirname							,						**__A		)
  
  
        def        __lowerCamelCase			(							self							,						SCREAMING_SNAKE_CASE__		):
              lowercase			:   Tuple					   =		'''I am VinAI Research'''
              lowercase			:   Optional[Any]					   =		'''I <unk> m V<unk> <unk> <unk> I Re<unk> e<unk> <unk> <unk> <unk>'''
              return input_text, output_text
  
  
  
  
  
  
        def        __lowerCamelCase			(							self		):
              lowercase			:   Optional[int]					   =		BertweetTokenizer(self.vocab_file							,						self.merges_file							,						**self.special_tokens_map		)
              lowercase			:   Tuple					   =		'''I am VinAI Research'''
              lowercase			:   str					   =		'''I a@@ m V@@ i@@ n@@ A@@ I R@@ e@@ s@@ e@@ a@@ r@@ c@@ h'''.split()
              lowercase			:   int					   =		tokenizer.tokenize(__A		)
              self.assertListEqual(__A							,						__A		)
  
              lowercase			:   Optional[Any]					   =		tokens + [tokenizer.unk_token]
  
              lowercase			:   List[Any]					   =		[4, 3, 5, 6, 3, 3, 3, 4, 7, 9, 3, 9, 3, 3, 3, 3, 3]
              self.assertListEqual(tokenizer.convert_tokens_to_ids(__A		)							,						__A		)
  
  
style_context: 
  
  
  import math
  
  
  
  
  def 			__lowercase	(						_UpperCamelCase     )    ->Union[str, Any]:
  
  
  
  
  
  
  
        """simple docstring"""
  
        lowercase			:   List[Any]					   =		0
        if n % 2 == 0:
              count += 1
              while n % 2 == 0:
                    lowercase			:   Any					   =		int(n / 2     )
      # the n input value must be odd so that
      # we can skip one element (ie i += 2)
  
        lowercase			:   Optional[int]					   =		3
  
        while i <= int(math.sqrt(_UpperCamelCase     )     ):
              if n % i == 0:
                    count += 1
                    while n % i == 0:
                          lowercase			:   Optional[Any]					   =		int(n / i     )
              lowercase			:   str					   =		i + 2
  
        # this condition checks the prime
        # number n is greater than 2
  
        if n > 2:
              count += 1
        return count
  
  
  if __name__ == "__main__":
    __a   				=      51_24_21_83
    print(F'''The number of distinct prime factors is/are {exact_prime_factor_count(n)}''')
    print(F'''The value of log(log(n)) is {math.log(math.log(n)):.4f}''')
  
  