import argparse
import shutil
from pathlib import Path

from tqdm import tqdm

from transformers import AutoTokenizer



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE=1_024			):
    '''simple docstring'''







    __UpperCamelCase						, __UpperCamelCase  :Tuple    						=	[], []

    __UpperCamelCase  :List[Any]    						=	list(zip(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)			)
    __UpperCamelCase						, __UpperCamelCase  :Dict    						=	sorted_examples[0]

    def is_too_big(SCREAMING_SNAKE_CASE			):
        return tok(SCREAMING_SNAKE_CASE						,    return_tensors='''pt'''			).input_ids.shape[1] > max_tokens

    for src, tgt in tqdm(sorted_examples[1:]			):
        __UpperCamelCase  :Union[str, Any]    						=	new_src + ''' ''' + src
        __UpperCamelCase  :Optional[Any]    						=	new_tgt + ''' ''' + tgt
        if is_too_big(SCREAMING_SNAKE_CASE			) or is_too_big(SCREAMING_SNAKE_CASE			):  # cant fit, finalize example
            finished_src.append(SCREAMING_SNAKE_CASE			)
            finished_tgt.append(SCREAMING_SNAKE_CASE			)
            __UpperCamelCase						, __UpperCamelCase  :int    						=	src, tgt
        else:  # can fit, keep adding
            __UpperCamelCase						, __UpperCamelCase  :Union[str, Any]    						=	cand_src, cand_tgt

             # cleanup
    if new_src:
        assert new_tgt
        finished_src.append(SCREAMING_SNAKE_CASE			)
        finished_tgt.append(SCREAMING_SNAKE_CASE			)
    return finished_src, finished_tgt



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







    __UpperCamelCase  :Optional[Any]    						=	Path(SCREAMING_SNAKE_CASE			)
    save_path.mkdir(exist_ok=SCREAMING_SNAKE_CASE			)
    for split in ["train"]:
        __UpperCamelCase						, __UpperCamelCase  :List[Any]    						=	data_dir / f"""{split}.source""", data_dir / f"""{split}.target"""
        __UpperCamelCase  :Dict    						=	[x.rstrip() for x in Path(SCREAMING_SNAKE_CASE			).open().readlines()]
        __UpperCamelCase  :Tuple    						=	[x.rstrip() for x in Path(SCREAMING_SNAKE_CASE			).open().readlines()]
        __UpperCamelCase						, __UpperCamelCase  :str    						=	pack_examples(SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			)
        print(f"""packed {split} split from {len(SCREAMING_SNAKE_CASE			)} examples -> {len(SCREAMING_SNAKE_CASE			)}."""			)
        Path(save_path / f"""{split}.source"""			).open('''w'''			).write('''\n'''.join(SCREAMING_SNAKE_CASE			)			)
        Path(save_path / f"""{split}.target"""			).open('''w'''			).write('''\n'''.join(SCREAMING_SNAKE_CASE			)			)
    for split in ["val", "test"]:
        __UpperCamelCase						, __UpperCamelCase  :List[Any]    						=	data_dir / f"""{split}.source""", data_dir / f"""{split}.target"""
        shutil.copyfile(SCREAMING_SNAKE_CASE						,    save_path / f"""{split}.source"""			)
        shutil.copyfile(SCREAMING_SNAKE_CASE						,    save_path / f"""{split}.target"""			)



def lowerCamelCase						(     ):
    '''simple docstring'''







    __UpperCamelCase  :Dict    						=	argparse.ArgumentParser()
    parser.add_argument('''--tok_name'''						,    type=SCREAMING_SNAKE_CASE						,    help='''like facebook/bart-large-cnn,t5-base, etc.'''			)
    parser.add_argument('''--max_seq_len'''						,    type=SCREAMING_SNAKE_CASE						,    default=128			)
    parser.add_argument('''--data_dir'''						,    type=SCREAMING_SNAKE_CASE			)
    parser.add_argument('''--save_path'''						,    type=SCREAMING_SNAKE_CASE			)
    __UpperCamelCase  :Any    						=	parser.parse_args()
    __UpperCamelCase  :str    						=	AutoTokenizer.from_pretrained(args.tok_name			)
    return pack_data_dir(SCREAMING_SNAKE_CASE						,    Path(args.data_dir			)						,    args.max_seq_len						,    args.save_path			)


if __name__ == "__main__":
    packer_cli()






import requests
from bsa import BeautifulSoup



def lowerCamelCase						(     SCREAMING_SNAKE_CASE						,    SCREAMING_SNAKE_CASE			):
    '''simple docstring'''







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


if __name__ == "__main__":
    __lowercase											=      {
        '''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))





