





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

from .. import config
from .logging import get_logger


_lowerCamelCase :    Dict  							= get_logger(__name__)


class 						lowerCamelCase       (enum.Enum      ):







							"""simple docstring"""




							UpperCAmelCase_      						=   "all_checks"
							UpperCAmelCase_      						=   "basic_checks"
							UpperCAmelCase_      						=   "no_checks"


class 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""






class 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""






class 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""






class 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""








def _a (  SCREAMING_SNAKE_CASE__      :  Optional[dict]			,				SCREAMING_SNAKE_CASE__      :  dict			,				SCREAMING_SNAKE_CASE__      :  List[Any]=None       )	->    List[str]:

							'''simple docstring'''






							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__       )       )       )
							SCREAMING_SNAKE_CASE__       :      str     =						[url for url in expected_checksums if expected_checksums[url] != recorded_checksums[url]]
							SCREAMING_SNAKE_CASE__       :      Tuple     =						" 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 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""






class 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""






class 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""






class 						lowerCamelCase       (__lowerCamelCase      ):







							"""simple docstring"""








def _a (  SCREAMING_SNAKE_CASE__      :  Optional[dict]			,				SCREAMING_SNAKE_CASE__      :  dict       )	->    Optional[Any]:

							'''simple docstring'''






							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__       )       )       )
							SCREAMING_SNAKE_CASE__       :      Tuple     =						[
							    {"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       )	->    dict:

							'''simple docstring'''






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







def _a (  SCREAMING_SNAKE_CASE__      :  Dict       )	->    List[Any]:

							'''simple docstring'''






							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       )	->    str:

							'''simple docstring'''






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


if __name__ == "__main__":
		_lowerCamelCase :    Any  							= {
		    '''title''': (
		        '''Precisely geometry controlled microsupercapacitors for ultrahigh areal '''
		        '''capacitance, volumetric capacitance, and energy density'''
		    ),
		    '''journal''': '''Chem. Mater.''',
		    '''volume''': 3_0,
		    '''pages''': '''3979-3990''',
		    '''year''': 2_0_1_8,
		    '''hl''': '''en''',
		}
		print(get_citation('''https://scholar.google.com/scholar_lookup''', params=params))






