
'''simple docstring'''




import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin





@require_tokenizers
class  A				(							__snake_case    ,			unittest.TestCase						):
     __magic_name__						=		FunnelTokenizer
     __magic_name__						=		FunnelTokenizerFast
     __magic_name__						=		True
     __magic_name__						=		True





     def 				__lowerCAmelCase							(							self	) ->				Dict:






         """simple docstring"""






         super().setUp()

         A       :   List[str]					=						[
             '''<unk>''',
             '''<cls>''',
             '''<sep>''',
             '''want''',
             '''##want''',
             '''##ed''',
             '''wa''',
             '''un''',
             '''runn''',
             '''##ing''',
             ''',''',
             '''low''',
             '''lowest''',
         ]
         A       :   Dict					=						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 				__lowerCAmelCase							(							self						,			**SCREAMING_SNAKE_CASE	) ->				Optional[Any]:






         """simple docstring"""






         return FunnelTokenizer.from_pretrained(self.tmpdirname						,			**SCREAMING_SNAKE_CASE	)





     def 				__lowerCAmelCase							(							self						,			**SCREAMING_SNAKE_CASE	) ->				Any:






         """simple docstring"""






         return FunnelTokenizerFast.from_pretrained(self.tmpdirname						,			**SCREAMING_SNAKE_CASE	)





     def 				__lowerCAmelCase							(							self						,			SCREAMING_SNAKE_CASE	) ->				Any:






         """simple docstring"""






         A       :   Union[str, Any]					=						'''UNwant\u00E9d,running'''
         A       :   Tuple					=						'''unwanted, running'''
         return input_text, output_text





     def 				__lowerCAmelCase							(							self	) ->				List[str]:






         """simple docstring"""






         A       :   Union[str, Any]					=						self.tokenizer_class(self.vocab_file	)

         A       :   Dict					=						tokenizer.tokenize('''UNwant\u00E9d,running'''	)
         self.assertListEqual(SCREAMING_SNAKE_CASE						,			['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']	)
         self.assertListEqual(tokenizer.convert_tokens_to_ids(SCREAMING_SNAKE_CASE	)						,			[7, 4, 5, 10, 8, 9]	)





     def 				__lowerCAmelCase							(							self	) ->				List[str]:






         """simple docstring"""






         A       :   List[str]					=						self.get_tokenizers(do_lower_case=SCREAMING_SNAKE_CASE	)
         for tokenizer in tokenizers:
             A       :   Dict					=						tokenizer('''UNwant\u00E9d,running'''	)
             A       :   Tuple					=						len(inputs['''input_ids''']	) - 1
             self.assertListEqual(inputs['''token_type_ids''']						,			[2] + [0] * sentence_len	)

             A       :   int					=						tokenizer('''UNwant\u00E9d,running'''						,			'''UNwant\u00E9d,running'''	)
             self.assertListEqual(inputs['''token_type_ids''']						,			[2] + [0] * sentence_len + [1] * sentence_len	)












import math
def 						_a    (      a :int )							->			list:
 a		  =      [True] * n
 a		  =      False
 a		  =      False
 a		  =      True

 for i in range(3	,							int(n**0.5 + 1 )	,							2 ):
  a		  =      i * 2
  while index < n:
   a		  =      False
   a		  =      index + i

 a		  =      [2]

 for i in range(3	,							a	,							2 ):
  if is_prime[i]:
   primes.append(a )

 return primes
def 						_a    (      a :int = 999_966_663_333 )							->			int:
 a		  =      math.floor(math.sqrt(a ) ) + 100
 a		  =      prime_sieve(a )

 a		  =      0
 a		  =      0
 a		  =      primes[prime_index]

 while (last_prime**2) <= limit:
  a		  =      primes[prime_index + 1]

  a		  =      last_prime**2
  a		  =      next_prime**2

  # Get numbers divisible by lps(current)
  a		  =      lower_bound + last_prime
  while upper_bound > current <= limit:
   matches_sum += current
   current += last_prime

  # Reset the upper_bound
  while (upper_bound - next_prime) > limit:
   upper_bound -= next_prime

  # Add the numbers divisible by ups(current)
  a		  =      upper_bound - next_prime
  while current > lower_bound:
   matches_sum += current
   current -= next_prime

  # Remove the numbers divisible by both ups and lps
  a		  =      0
  while upper_bound > current <= limit:
   if current <= lower_bound:
    # Increment the current number
    current += last_prime * next_prime
    continue

   if current > limit:
    break

   # Remove twice since it was added by both ups and lps
   matches_sum -= current * 2

   # Increment the current number
   current += last_prime * next_prime

  # Setup for next pair
  a		  =      next_prime
  prime_index += 1

 return matches_sum


if __name__ == "__main__":
     print(solution())


