






'''simple docstring'''
import argparse
import json
import subprocess




def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase    ,		_UpperCamelCase				):


   """simple docstring"""




   lowercase_						:     Tuple							     =  []

   lowercase_						:     int							     =  (
       F"""curl -H \"Accept: application/vnd.github+json\" -H \"Authorization: Bearer {token}\""""
       " https://api.github.com/repos/huggingface/transformers/actions/runners"
   )
   lowercase_						:     Union[str, Any]							     =  subprocess.run(_UpperCamelCase    ,		shell=_UpperCamelCase    ,		stdout=subprocess.PIPE				)
   lowercase_						:     Tuple							     =  output.stdout.decode("utf-8"				)
   lowercase_						:     List[Any]							     =  json.loads(_UpperCamelCase				)

   lowercase_						:     int							     =  status["runners"]
   for runner in runners:
      if runner["name"] in target_runners:
         if runner["status"] == "offline":
            offline_runners.append(_UpperCamelCase				)

    # save the result so we can report them on Slack
   with open("offline_runners.txt"    ,		"w"				) as fp:
      fp.write(json.dumps(_UpperCamelCase				)				)

   if len(_UpperCamelCase				) > 0:
      lowercase_						:     List[Any]							     =  "\n".join([x["name"] for x in offline_runners]				)
      raise ValueError(F"""The following runners are offline:\n{failed}"""				)


if __name__ == "__main__":




 def 		__SCREAMING_SNAKE_CASE       (	_UpperCamelCase				):


    """simple docstring"""




    return values.split(","				)

 UpperCamelCase__			=      argparse.ArgumentParser()
 # Required parameters
 parser.add_argument(
     '--target_runners',
     default=None,
     type=list_str,
     required=True,
     help='Comma-separated list of runners to check status.',
 )

 parser.add_argument(
     '--token', default=None, type=str, required=True, help='A token that has actions:read permission.'
 )
 UpperCamelCase__			=      parser.parse_args()





 get_runner_status(args.target_runners, args.token)












'''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,
  )




