




import enum
import os
from hashlib import shaaaa
from typing import Optional

from .. import config
from .logging import get_logger


UpperCamelCase__					    =    get_logger(__name__)
class     a__					(      enum.Enum   ):
						_a							:					Dict      =					"""all_checks"""
						_a							:					Tuple      =					"""basic_checks"""
						_a							:					int      =					"""no_checks"""






class     a__					(      snake_case__   ):
						pass






class     a__					(      snake_case__   ):
						pass






class     a__					(      snake_case__   ):
						pass






class     a__					(      snake_case__   ):
						pass







def 			_a   (		SCREAMING_SNAKE_CASE_							:       Optional[dict]   ,   SCREAMING_SNAKE_CASE_							:       dict   ,   SCREAMING_SNAKE_CASE_							:       Union[str, Any]=None  ):
					if expected_checksums is None:
										logger.info("Unable to verify checksums."  )
										return
					if len(set(SCREAMING_SNAKE_CASE_  ) - set(SCREAMING_SNAKE_CASE_  )  ) > 0:
										raise ExpectedMoreDownloadedFiles(str(set(SCREAMING_SNAKE_CASE_  ) - set(SCREAMING_SNAKE_CASE_  )  )  )
					if len(set(SCREAMING_SNAKE_CASE_  ) - set(SCREAMING_SNAKE_CASE_  )  ) > 0:
										raise UnexpectedDownloadedFile(str(set(SCREAMING_SNAKE_CASE_  ) - set(SCREAMING_SNAKE_CASE_  )  )  )
					__lowerCAmelCase            = [url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
					__lowerCAmelCase            = " for " + verification_name if verification_name is not None else ""
					if len(SCREAMING_SNAKE_CASE_  ) > 0:
										raise NonMatchingChecksumError(
										    F"""Checksums didn't match{for_verification_name}:\n"""
										    F"""{bad_urls}\n"""
										    "Set `verification_mode='no_checks'` to skip checksums verification and ignore this error"  )
					logger.info("All the checksums matched successfully" + for_verification_name  )
class     a__					(      snake_case__   ):
						pass






class     a__					(      snake_case__   ):
						pass






class     a__					(      snake_case__   ):
						pass






class     a__					(      snake_case__   ):
						pass







def 			_a   (		SCREAMING_SNAKE_CASE_							:       Optional[dict]   ,   SCREAMING_SNAKE_CASE_							:       dict  ):
					if expected_splits is None:
										logger.info("Unable to verify splits sizes."  )
										return
					if len(set(SCREAMING_SNAKE_CASE_  ) - set(SCREAMING_SNAKE_CASE_  )  ) > 0:
										raise ExpectedMoreSplits(str(set(SCREAMING_SNAKE_CASE_  ) - set(SCREAMING_SNAKE_CASE_  )  )  )
					if len(set(SCREAMING_SNAKE_CASE_  ) - set(SCREAMING_SNAKE_CASE_  )  ) > 0:
										raise UnexpectedSplits(str(set(SCREAMING_SNAKE_CASE_  ) - set(SCREAMING_SNAKE_CASE_  )  )  )
					__lowerCAmelCase            = [
					    {"expected": expected_splits[name], "recorded": recorded_splits[name]}
					    for name in expected_splits
					    if expected_splits[name].num_examples != recorded_splits[name].num_examples
					]
					if len(SCREAMING_SNAKE_CASE_  ) > 0:
										raise NonMatchingSplitsSizesError(str(SCREAMING_SNAKE_CASE_  )  )
					logger.info("All the splits matched successfully."  )







def 			_a   (		SCREAMING_SNAKE_CASE_							:       str   ,   SCREAMING_SNAKE_CASE_							:       bool = True  ):
					if record_checksum:
										__lowerCAmelCase            = shaaaa()
										with open(SCREAMING_SNAKE_CASE_   ,   "rb"  ) as f:
															for chunk in iter(lambda: f.read(1 << 20  )   ,   b""  ):
																				m.update(SCREAMING_SNAKE_CASE_  )
															__lowerCAmelCase            = m.hexdigest()
					else:
										__lowerCAmelCase            = None
					return {"num_bytes": os.path.getsize(SCREAMING_SNAKE_CASE_  ), "checksum": checksum}







def 			_a   (		SCREAMING_SNAKE_CASE_							:       List[Any]  ):
					if dataset_size and config.IN_MEMORY_MAX_SIZE:
										return dataset_size < config.IN_MEMORY_MAX_SIZE
					else:
										return False










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))




