
import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


_snake_case      = ['''small''', '''medium''', '''large''']

_snake_case      = '''lm_head.decoder.weight'''
_snake_case      = '''lm_head.weight'''

def  __lowerCamelCase					( _lowercase						,     _lowercase			)       ->      Dict:
     UpperCamelCase						    =					torch.load(_lowercase			)
     UpperCamelCase						    =					d.pop(_lowercase			)
     os.makedirs(_lowercase						,     exist_ok=_lowercase			)
     torch.save(_lowercase						,     os.path.join(_lowercase						,     _lowercase			)			)


if __name__ == "__main__":
 _snake_case      = argparse.ArgumentParser()
 parser.add_argument('''--dialogpt_path''', default='''.''', type=str)
 _snake_case      = parser.parse_args()
 for MODEL in DIALOGPT_MODELS:
  _snake_case      = os.path.join(args.dialogpt_path, F"{MODEL}_ft.pkl")
  _snake_case      = F"./DialoGPT-{MODEL}"
  convert_dialogpt_checkpoint(
      checkpoint_path,
      pytorch_dump_folder_path,
  )




def  __lowerCamelCase					( _lowercase = 50000000			)       ->      int:
     UpperCamelCase						    =					set()
     UpperCamelCase						    =					int((limit - 24) ** (1 / 2)			)

     UpperCamelCase						    =					set(range(3						,     prime_square_limit + 1						,     2			)			)
     primes.add(2			)
     for p in range(3						,     prime_square_limit + 1						,     2			):
          if p not in primes:
               continue
          primes.difference_update(set(range(p * p						,     prime_square_limit + 1						,     _lowercase			)			)			)

     for primea in primes:
          UpperCamelCase						    =					primea * primea
          for primea in primes:
               UpperCamelCase						    =					primea * primea * primea
               if square + cube >= limit - 16:
                    break
               for primea in primes:
                    UpperCamelCase						    =					primea * primea * primea * primea
                    UpperCamelCase						    =					square + cube + tetr
                    if total >= limit:
                         break
                    ret.add(_lowercase			)

     return len(_lowercase			)


if __name__ == "__main__":
 print(F"{solution() = }")


