





'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_poolformer import PoolFormerImageProcessor


a        =						logging.get_logger(__name__)







class __a (   _snake_case			):





   def __init__(					self				:			Optional[Any]				,*lowerCamelCase				:			List[str]				,**lowerCamelCase				:			List[str]    ):

      '''simple docstring'''

      warnings.warn(
          """The class PoolFormerFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
          """ Please use PoolFormerImageProcessor instead."""				,lowerCamelCase				,)
      super().__init__(*lowerCamelCase				,**lowerCamelCase    )












'''simple docstring'''

import requests
from bsa import BeautifulSoup

def 						__magic_name__       (							__UpperCAmelCase							,	__UpperCAmelCase      )						->					str:

   '''simple docstring'''







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


if __name__ == "__main__":
    a        =						{
        "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))





