'''simple docstring'''






import os
from datetime import datetime as dt

from github import Github


SCREAMING_SNAKE_CASE_	   =			[
    """good first issue""",
    """good second issue""",
    """good difficult issue""",
    """enhancement""",
    """new pipeline/model""",
    """new scheduler""",
    """wip""",
]






def  UpperCamelCase__					(					)							->	Optional[int]:
  __UpperCAmelCase:					Dict		= Github(os.environ["""GITHUB_TOKEN"""]     )
  __UpperCAmelCase:					List[str]		= g.get_repo("""huggingface/diffusers"""     )
  __UpperCAmelCase:					Union[str, Any]		= repo.get_issues(state="""open"""     )

  for issue in open_issues:
    __UpperCAmelCase:					int		= sorted(issue.get_comments()   ,    key=lambda _lowercase     : i.created_at   ,    reverse=_lowerCamelCase     )
    __UpperCAmelCase:					List[Any]		= comments[0] if len(_lowerCamelCase     ) > 0 else None
    if (
        last_comment is not None
        and last_comment.user.login == "github-actions[bot]"
        and (dt.utcnow() - issue.updated_at).days > 7
        and (dt.utcnow() - issue.created_at).days >= 3_0
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()     )
    ):
      # Closes the issue after 7 days of inactivity since the Stalebot notification.
      issue.edit(state="""closed"""     )
    elif (
        "stale" in issue.get_labels()
        and last_comment is not None
        and last_comment.user.login != "github-actions[bot]"
    ):
      # Opens the issue if someone other than Stalebot commented.
      issue.edit(state="""open"""     )
      issue.remove_from_labels("""stale"""     )
    elif (
        (dt.utcnow() - issue.updated_at).days > 2_3
        and (dt.utcnow() - issue.created_at).days >= 3_0
        and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels()     )
    ):
      # Post a Stalebot notification after 23 days of inactivity.
      issue.create_comment(
          """This issue has been automatically marked as stale because it has not had """
          """recent activity. If you think this still needs to be addressed """
          """please comment on this thread.\n\nPlease note that issues that do not follow the """
          """[contributing guidelines](https://github.com/huggingface/diffusers/blob/main/CONTRIBUTING.md) """
          """are likely to be ignored."""     )
      issue.add_to_labels("""stale"""     )


if __name__ == "__main__":
    main()
'''simple docstring'''






import argparse
import os

import torch

from transformers.utils import WEIGHTS_NAME


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

SCREAMING_SNAKE_CASE_	   =			'lm_head.decoder.weight'
SCREAMING_SNAKE_CASE_	   =			'lm_head.weight'






def  UpperCamelCase__					(					_lowercase    :				str   ,    _lowercase    :				str     )							->	List[str]:
  __UpperCAmelCase:					Tuple		= torch.load(_lowercase     )
  __UpperCAmelCase:					Tuple		= d.pop(_lowercase     )
  os.makedirs(_lowercase   ,    exist_ok=_lowercase     )
  torch.save(_lowercase   ,    os.path.join(_lowercase   ,    _lowercase     )     )


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