



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_snake_case	=						{
    "configuration_jukebox": [
        "JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "JukeboxConfig",
        "JukeboxPriorConfig",
        "JukeboxVQVAEConfig",
    ],
    "tokenization_jukebox": ["JukeboxTokenizer"],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_snake_case	=						[
						    "JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "JukeboxModel",
						    "JukeboxPreTrainedModel",
						    "JukeboxVQVAE",
						    "JukeboxPrior",
						]

if TYPE_CHECKING:
						from .configuration_jukebox import (
						    JUKEBOX_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    JukeboxConfig,
						    JukeboxPriorConfig,
						    JukeboxVQVAEConfig,
						)
						from .tokenization_jukebox import JukeboxTokenizer

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_jukebox import (
												    JUKEBOX_PRETRAINED_MODEL_ARCHIVE_LIST,
												    JukeboxModel,
												    JukeboxPreTrainedModel,
												    JukeboxPrior,
												    JukeboxVQVAE,
												)

else:
						import sys

						_snake_case	=						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)











import requests
from bsa import BeautifulSoup






def        A       (      _lowerCamelCase       ,				_lowerCamelCase						):





							'''simple docstring'''




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


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