






# Lint as: python3
import dataclasses
import re
from dataclasses import dataclass
from functools import total_ordering
from typing import Optional, Union


snake_case__   :						List[str]													=   re.compile(R"""^(?P<major>\d+)""" R"""\.(?P<minor>\d+)""" R"""\.(?P<patch>\d+)$""")


@total_ordering
@dataclass
class     _a							:






  """simple docstring"""





  A_						       = 42
  A_						       = None
  A_						       = None
  A_						       = None
  A_						       = None




  def  _UpperCAmelCase  (  self			)      ->			List[str]:
     UpperCamelCase_		,   UpperCamelCase_		,   UpperCamelCase_						=  _str_to_version_tuple(self.version_str			)




  def __repr__(  self			)      ->			Union[str, Any]:
     return f"""{self.tuple[0]}.{self.tuple[1]}.{self.tuple[2]}"""




  @property
  def  _UpperCAmelCase  (  self			)      ->			int:
     return self.major, self.minor, self.patch




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			str:
     if isinstance(_UpperCAmelCase		,		_UpperCAmelCase			):
        return Version(_UpperCAmelCase			)
     elif isinstance(_UpperCAmelCase		,		_UpperCAmelCase			):
        return other
     raise TypeError(f"""{other} (type {type(_UpperCAmelCase			)}) cannot be compared to version."""			)




  def __eq__(  self		,		_UpperCAmelCase			)      ->			List[Any]:
     try:
        UpperCamelCase_						=  self._validate_operand(_UpperCAmelCase			)
     except (TypeError, ValueError):
        return False
     else:
        return self.tuple == other.tuple




  def __lt__(  self		,		_UpperCAmelCase			)      ->			Optional[int]:
     UpperCamelCase_						=  self._validate_operand(_UpperCAmelCase			)
     return self.tuple < other.tuple




  def __hash__(  self			)      ->			Dict:
     return hash(_version_tuple_to_str(self.tuple			)			)




  @classmethod
  def  _UpperCAmelCase  (  cls		,		_UpperCAmelCase			)      ->			Tuple:
     UpperCamelCase_						=  {f.name for f in dataclasses.fields(cls			)}
     return cls(**{k: v for k, v in dic.items() if k in field_names}			)




  def  _UpperCAmelCase  (  self			)      ->			str:
     return self.version_str






def      _snake_case     (__lowercase):
   UpperCamelCase_						=  _VERSION_REG.match(__lowercase)
   if not res:
      raise ValueError(f"""Invalid version '{version_str}'. Format should be x.y.z with {{x,y,z}} being digits.""")
   return tuple(int(__lowercase) for v in [res.group('major'), res.group('minor'), res.group('patch')])






def      _snake_case     (__lowercase):
   return ".".join(str(__lowercase) for v in version_tuple)













'''simple docstring'''
import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


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

UpperCamelCase__			=      'lm_head.decoder.weight'
UpperCamelCase__			=      'lm_head.weight'




def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase    ,		_UpperCamelCase				):


   """simple docstring"""




   lowercase_						:     Optional[Any]							     =  torch.load(_UpperCamelCase				)
   lowercase_						:     List[Any]							     =  d.pop(_UpperCamelCase				)
   os.makedirs(_UpperCamelCase    ,		exist_ok=_UpperCamelCase				)
   torch.save(_UpperCamelCase    ,		os.path.join(_UpperCamelCase    ,		_UpperCamelCase				)				)


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




