






'''simple docstring'''





from pathlib import PurePosixPath
from typing import Optional

import fsspec
from fsspec import AbstractFileSystem
from huggingface_hub.hf_api import DatasetInfo

from ..utils.file_utils import get_authentication_headers_for_url
from ..utils.hub import hf_hub_url





class 		SCREAMING_SNAKE_CASE__ (  lowercase_     ):
		_UpperCAmelCase								=''
		_UpperCAmelCase								='hf-legacy'  # "hf://"" is reserved for hffs



		def __init__(     self:     Optional[Any]					, a:     Optional[DatasetInfo] = None					, a:     Optional[str] = None					, **a:     int					, )	->int:






								'''simple docstring'''


								super().__init__(self					, **a)
								a_					  = repo_info
								a_					  = token
								a_					  = None



		def _lowerCAmelCase  (     self:     List[str])	->Optional[Any]:






								'''simple docstring'''


								if self.dir_cache is None:
														a_					  = {}
														for hf_file in self.repo_info.siblings:
																				# TODO(QL): add sizes
																				a_					  = {
																				    "name": hf_file.rfilename,
																				    "size": None,
																				    "type": "file",
																				}
																				self.dir_cache.update(
																				    {
																				        str(a): {"name": str(a), "size": None, "type": "directory"}
																				        for d in list(PurePosixPath(hf_file.rfilename).parents)[:-1]
																				    })



		def _lowerCAmelCase  (     self:     List[str]					, a:     str					, a:     str = "rb"					, **a:     List[Any]					, )	->Optional[int]:






								'''simple docstring'''


								if not isinstance(self.repo_info					, a):
														raise NotImplementedError(f"""Open is only implemented for dataset repositories, but got {self.repo_info}""")
								a_					  = hf_hub_url(self.repo_info.id					, a					, revision=self.repo_info.sha)
								return fsspec.open(
								    a					, mode=a					, headers=get_authentication_headers_for_url(a					, use_auth_token=self.token)					, client_kwargs={"trust_env": True}					, ).open()



		def _lowerCAmelCase  (     self:     Union[str, Any]					, a:     Optional[int]					, **a:     Tuple)	->str:






								'''simple docstring'''


								self._get_dirs()
								a_					  = self._strip_protocol(a)
								if path in self.dir_cache:
														return self.dir_cache[path]
								else:
														raise FileNotFoundError(a)




		def _lowerCAmelCase  (     self:     int					, a:     int					, a:     str=False					, **a:     Dict)	->Tuple:






								'''simple docstring'''


								self._get_dirs()
								a_					  = PurePosixPath(path.strip("/"))
								a_					  = {}
								for p, f in self.dir_cache.items():
														a_					  = PurePosixPath(p.strip("/"))
														a_					  = p.parent
														if root == path:
																				a_					  = f
								a_					  = list(paths.values())
								if detail:
														return out
								else:
														return sorted(f["name"] for f in out)











'''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,
  )




