




from typing import Optional

import pyspark

from .. import Features, NamedSplit
from ..download import DownloadMode
from ..packaged_modules.spark.spark import Spark
from .abc import AbstractDatasetReader
class     a__					(      snake_case__   ):






						def __init__(     self	,    _A	,    _A = None	,    _A = None	,    _A = True	,    _A = None	,    _A = False	,    _A = None	,    _A = True	,    _A = "arrow"	,    **_A	,    ):




											"""simple docstring"""



											super().__init__(
											    split=_A	,    features=_A	,    cache_dir=_A	,    keep_in_memory=_A	,    streaming=_A	,    **_A	,    )
											__lowerCAmelCase            = load_from_cache_file
											__lowerCAmelCase            = file_format
											__lowerCAmelCase            = Spark(
											    df=_A	,    features=_A	,    cache_dir=_A	,    working_dir=_A	,    **_A	,    )






						def        __SCREAMING_SNAKE_CASE(     self    ):




											"""simple docstring"""



											if self.streaming:
																return self.builder.as_streaming_dataset(split=self.split    )
											__lowerCAmelCase            = None if self._load_from_cache_file else DownloadMode.FORCE_REDOWNLOAD
											self.builder.download_and_prepare(
											    download_mode=_A	,    file_format=self._file_format	,    )
											return self.builder.as_dataset(split=self.split    )










import requests
from bsa import BeautifulSoup







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


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




