





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCamelCase :    List[str]  							= {'''configuration_ibert''': ['''IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''IBertConfig''', '''IBertOnnxConfig''']}

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		_lowerCamelCase :    Optional[Any]  							= [
		    '''IBERT_PRETRAINED_MODEL_ARCHIVE_LIST''',
		    '''IBertForMaskedLM''',
		    '''IBertForMultipleChoice''',
		    '''IBertForQuestionAnswering''',
		    '''IBertForSequenceClassification''',
		    '''IBertForTokenClassification''',
		    '''IBertModel''',
		    '''IBertPreTrainedModel''',
		]

if TYPE_CHECKING:
		from .configuration_ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig, IBertOnnxConfig

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_ibert import (
				    IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
				    IBertForMaskedLM,
				    IBertForMultipleChoice,
				    IBertForQuestionAnswering,
				    IBertForSequenceClassification,
				    IBertForTokenClassification,
				    IBertModel,
				    IBertPreTrainedModel,
				)

else:
		import sys

		_lowerCamelCase :    Union[str, Any]  							= _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)













import requests
from bsa import BeautifulSoup




def _a (  SCREAMING_SNAKE_CASE__      :  str			,				SCREAMING_SNAKE_CASE__      :  dict       )	->    str:

							'''simple docstring'''






							SCREAMING_SNAKE_CASE__       :      Any     =						BeautifulSoup(requests.get(SCREAMING_SNAKE_CASE__			,				params=SCREAMING_SNAKE_CASE__       ).content			,				"html.parser"       )
							SCREAMING_SNAKE_CASE__       :      str     =						soup.find("div"			,				attrs={"class": "gs_ri"}       )
							SCREAMING_SNAKE_CASE__       :      int     =						div.find("div"			,				attrs={"class": "gs_fl"}       ).find_all("a"       )
							return anchors[2].get_text()


if __name__ == "__main__":
		_lowerCamelCase :    Any  							= {
		    '''title''': (
		        '''Precisely geometry controlled microsupercapacitors for ultrahigh areal '''
		        '''capacitance, volumetric capacitance, and energy density'''
		    ),
		    '''journal''': '''Chem. Mater.''',
		    '''volume''': 3_0,
		    '''pages''': '''3979-3990''',
		    '''year''': 2_0_1_8,
		    '''hl''': '''en''',
		}
		print(get_citation('''https://scholar.google.com/scholar_lookup''', params=params))






