



import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


a_      :      int    =     ['small', 'medium', 'large']

a_      :      Dict    =     'lm_head.decoder.weight'
a_      :      int    =     'lm_head.weight'






def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase       ):
 a__												= torch.load(__UpperCAmelCase       )
 a__												= d.pop(__UpperCAmelCase       )
 os.makedirs(__UpperCAmelCase							,  exist_ok=__UpperCAmelCase       )
 torch.save(__UpperCAmelCase							,  os.path.join(__UpperCAmelCase							,  __UpperCAmelCase       )       )


if __name__ == "__main__":
     a_      :      Optional[Any]    =     argparse.ArgumentParser()
     parser.add_argument('--dialogpt_path', default='.', type=str)
     a_      :      Tuple    =     parser.parse_args()
     for MODEL in DIALOGPT_MODELS:
          a_      :      List[Any]    =     os.path.join(args.dialogpt_path, f'{MODEL}_ft.pkl')
          a_      :      int    =     f'./DialoGPT-{MODEL}'
          convert_dialogpt_checkpoint(
              checkpoint_path,
              pytorch_dump_folder_path,
          )










import requests
from bsa import BeautifulSoup






def     __a					(		__UpperCAmelCase							,  __UpperCAmelCase       ):
 a__												= BeautifulSoup(requests.get(__UpperCAmelCase							,  params=__UpperCAmelCase       ).content							,  '''html.parser'''       )
 a__												= soup.find('''div'''							,  attrs={'''class''': '''gs_ri'''}       )
 a__												= div.find('''div'''							,  attrs={'''class''': '''gs_fl'''}       ).find_all('''a'''       )
 return anchors[2].get_text()


if __name__ == "__main__":
     a_      :      Optional[Any]    =     {
         'title': (
             'Precisely geometry controlled microsupercapacitors for ultrahigh areal '
             'capacitance, volumetric capacitance, and energy density'
         ),
         'journal': 'Chem. Mater.',
         'volume': 30,
         'pages': '3979-3990',
         'year': 20_18,
         'hl': 'en',
     }
     print(get_citation('https://scholar.google.com/scholar_lookup', params=params))





