





'''simple docstring'''




from argparse import ArgumentParser

from . import BaseTransformersCLICommand




def 						__lowerCamelCase			(	UpperCAmelCase_							)   ->Tuple:
	return DownloadCommand(args.model					,				args.cache_dir					,				args.force					,				args.trust_remote_code							)







class 				__snake_case     (					__magic_name__							):





	@staticmethod
	def   _snake_case   (		UpperCamelCase_		)      ->		Optional[int]:
		snake_case__	       =   parser.add_parser('download'		)
		download_parser.add_argument(
		    '--cache-dir'      ,       type=UpperCamelCase_      ,       default=UpperCamelCase_      ,       help='Path to location to store the models'		)
		download_parser.add_argument(
		    '--force'      ,       action='store_true'      ,       help='Force the model to be download even if already in cache-dir'		)
		download_parser.add_argument(
		    '--trust-remote-code'      ,       action='store_true'      ,       help='Whether or not to allow for custom models defined on the Hub in their own modeling files. Use only if you\'ve reviewed the code as it will execute on your local machine'      ,       )
		download_parser.add_argument('model'      ,       type=UpperCamelCase_      ,       help='Name of the model to download'		)
		download_parser.set_defaults(func=UpperCamelCase_		)





	def __init__(		self      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_      ,       UpperCamelCase_		)      ->		Union[str, Any]:
		snake_case__	       =   model
		snake_case__	       =   cache
		snake_case__	       =   force
		snake_case__	       =   trust_remote_code





	def   _snake_case   (		self		)      ->		Dict:
		from ..models.auto import AutoModel, AutoTokenizer

		AutoModel.from_pretrained(
		    self._model      ,       cache_dir=self._cache      ,       force_download=self._force      ,       trust_remote_code=self._trust_remote_code		)
		AutoTokenizer.from_pretrained(
		    self._model      ,       cache_dir=self._cache      ,       force_download=self._force      ,       trust_remote_code=self._trust_remote_code		)










'''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))



