





'''simple docstring'''




import os
import unittest

from transformers import LxmertTokenizer, LxmertTokenizerFast
from transformers.models.bert.tokenization_bert import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin






@require_tokenizers
class 				__snake_case     (					__magic_name__       ,       unittest.TestCase							):
	__lowerCAmelCase       						=  LxmertTokenizer
	__lowerCAmelCase       						=  LxmertTokenizerFast
	__lowerCAmelCase       						=  True
	__lowerCAmelCase       						=  True





	def   _snake_case   (		self		)      ->		str:
		super().setUp()

		snake_case__	       =   [
		    '[UNK]',
		    '[CLS]',
		    '[SEP]',
		    'want',
		    '##want',
		    '##ed',
		    'wa',
		    'un',
		    'runn',
		    '##ing',
		    ',',
		    'low',
		    'lowest',
		]
		snake_case__	       =   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      ,       UpperCamelCase_		)      ->		str:
		snake_case__	       =   'UNwant\u00E9d,running'
		snake_case__	       =   'unwanted, running'
		return input_text, output_text





	def   _snake_case   (		self		)      ->		Dict:
		snake_case__	       =   self.tokenizer_class(self.vocab_file		)

		snake_case__	       =   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   _snake_case   (		self		)      ->		List[Any]:
		if not self.test_rust_tokenizer:
			return

		snake_case__	       =   self.get_tokenizer()
		snake_case__	       =   self.get_rust_tokenizer()

		snake_case__	       =   'I was born in 92000, and this is falsé.'

		snake_case__	       =   tokenizer.tokenize(UpperCamelCase_		)
		snake_case__	       =   rust_tokenizer.tokenize(UpperCamelCase_		)
		self.assertListEqual(UpperCamelCase_      ,       UpperCamelCase_		)

		snake_case__	       =   tokenizer.encode(UpperCamelCase_      ,       add_special_tokens=UpperCamelCase_		)
		snake_case__	       =   rust_tokenizer.encode(UpperCamelCase_      ,       add_special_tokens=UpperCamelCase_		)
		self.assertListEqual(UpperCamelCase_      ,       UpperCamelCase_		)

		snake_case__	       =   self.get_rust_tokenizer()
		snake_case__	       =   tokenizer.encode(UpperCamelCase_		)
		snake_case__	       =   rust_tokenizer.encode(UpperCamelCase_		)
		self.assertListEqual(UpperCamelCase_      ,       UpperCamelCase_		)










'''simple docstring'''




import requests
from bsa import BeautifulSoup




def 						__lowerCamelCase			(	UpperCAmelCase_					,				UpperCAmelCase_							)   ->str:
	snake_case__	       =   BeautifulSoup(requests.get(UpperCAmelCase_					,				params=UpperCAmelCase_							).content					,				'html.parser'							)
	snake_case__	       =   soup.find('div'					,				attrs={'class': 'gs_ri'}							)
	snake_case__	       =   div.find('div'					,				attrs={'class': 'gs_fl'}							).find_all('a'							)
	return anchors[2].get_text()


if __name__ == "__main__":
			a__					:			int          =     {
			    '''title''': (
			        '''Precisely geometry controlled microsupercapacitors for ultrahigh areal '''
			        '''capacitance, volumetric capacitance, and energy density'''
			    ),
			    '''journal''': '''Chem. Mater.''',
			    '''volume''': 30,
			    '''pages''': '''3979-3990''',
			    '''year''': 2018,
			    '''hl''': '''en''',
			}
			print(get_citation('''https://scholar.google.com/scholar_lookup''', params=params))



