



"""simple docstring"""







import argparse
import json
import subprocess

def 				UpperCamelCase_    (    lowerCAmelCase__      :				Tuple    ,   lowerCAmelCase__      :				Optional[int]						)						->   Tuple:

  """simple docstring"""




  lowerCAmelCase_   :				Optional[int]								= []

  lowerCAmelCase_   :				Dict								= (
      f"curl -H \"Accept: application/vnd.github+json\" -H \"Authorization: Bearer {token}\""
      ' https://api.github.com/repos/huggingface/transformers/actions/runners'
  )
  lowerCAmelCase_   :				Optional[Any]								= subprocess.run(lowerCAmelCase__    ,   shell=lowerCAmelCase__    ,   stdout=subprocess.PIPE						)
  lowerCAmelCase_   :				int								= output.stdout.decode('utf-8'						)
  lowerCAmelCase_   :				Dict								= json.loads(lowerCAmelCase__						)

  lowerCAmelCase_   :				List[str]								= status['runners']
  for runner in runners:
    if runner["name"] in target_runners:
      if runner["status"] == "offline":
        offline_runners.append(lowerCAmelCase__						)

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

  if len(lowerCAmelCase__						) > 0:
    lowerCAmelCase_   :				Optional[int]								= '\n'.join([x['name'] for x in offline_runners]						)
    raise ValueError(f"The following runners are offline:\n{failed}"						)


if __name__ == "__main__":

     def 				UpperCamelCase_    (    lowerCAmelCase__      :				Tuple						)						->   List[str]:

       """simple docstring"""




       return values.split(','						)

     lowercase__		:				List[str]          =	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."""
     )
     lowercase__		:				Optional[Any]          =	parser.parse_args()
     get_runner_status(args.target_runners, args.token)










"""simple docstring"""







from typing import Union

import fire
import torch
from tqdm import tqdm

def 				UpperCamelCase_    (    lowerCAmelCase__      :				str    ,   lowerCAmelCase__      :				str = "cpu"    ,   lowerCAmelCase__      :				Union[str, None] = None						)						->   None:

  """simple docstring"""




  lowerCAmelCase_   :				Any								= torch.load(lowerCAmelCase__    ,   map_location=lowerCAmelCase__						)
  for k, v in tqdm(state_dict.items()						):
    if not isinstance(lowerCAmelCase__    ,   torch.Tensor						):
      raise TypeError('FP16 conversion only works on paths that are saved state dicts, like pytorch_model.bin'						)
    lowerCAmelCase_   :				str								= v.half()
  if save_path is None:  # overwrite src_path
    lowerCAmelCase_   :				Dict								= src_path
  torch.save(lowerCAmelCase__    ,   lowerCAmelCase__						)


if __name__ == "__main__":
     fire.Fire(convert)





