"""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        UpperCamelCase		(			lowercase_						,      unittest.TestCase  ):
   lowercase							=  FunnelTokenizer
   lowercase							=  FunnelTokenizerFast
   lowercase							=  True
   lowercase							=  True
   def 			_UpperCAmelCase   (			self			)	->      str:


        '''simple docstring'''


        super().setUp()

        lowercase_	:				str													=	[
            '<unk>',
            '<cls>',
            '<sep>',
            'want',
            '##want',
            '##ed',
            'wa',
            'un',
            'runn',
            '##ing',
            ',',
            'low',
            'lowest',
        ]
        lowercase_	:				Tuple													=	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 			_UpperCAmelCase   (			self     ,**__UpperCamelCase			)	->      Any:


        '''simple docstring'''


        return FunnelTokenizer.from_pretrained(self.tmpdirname     ,**UpperCAmelCase__			)
   def 			_UpperCAmelCase   (			self     ,**__UpperCamelCase			)	->      List[str]:


        '''simple docstring'''


        return FunnelTokenizerFast.from_pretrained(self.tmpdirname     ,**UpperCAmelCase__			)
   def 			_UpperCAmelCase   (			self     ,__UpperCamelCase			)	->      int:


        '''simple docstring'''


        lowercase_	:				Optional[Any]													=	'UNwant\u00E9d,running'
        lowercase_	:				str													=	'unwanted, running'
        return input_text, output_text
   def 			_UpperCAmelCase   (			self			)	->      Dict:


        '''simple docstring'''


        lowercase_	:				str													=	self.tokenizer_class(self.vocab_file			)

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







   def 			_UpperCAmelCase   (			self			)	->      Tuple:


        '''simple docstring'''


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

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





"""simple docstring"""







def    UpperCAmelCase__       (lowerCAmelCase_ = 100_0000   ):




					'''simple docstring'''


					__SCREAMING_SNAKE_CASE						   =				set(range(3  ,						lowerCAmelCase_  ,						2   )   )
					primes.add(2   )
					for p in range(3  ,						lowerCAmelCase_  ,						2   ):
										if p not in primes:
															continue
										primes.difference_update(set(range(p * p  ,						lowerCAmelCase_  ,						lowerCAmelCase_   )   )   )

					__SCREAMING_SNAKE_CASE						   =				[float(lowerCAmelCase_   ) for n in range(limit + 1   )]

					for p in primes:
										for n in range(lowerCAmelCase_  ,						limit + 1  ,						lowerCAmelCase_   ):
															phi[n] *= 1 - 1 / p

					return int(sum(phi[2:]   )   )


if __name__ == "__main__":
		print(F"{solution() = }")
