


import argparse
from pathlib import Path

from transformers import AutoConfig, AutoTokenizer, RagConfig, RagSequenceForGeneration, RagTokenForGeneration

def    lowercase_	(	_A    :					List[str]					,      _A    :					str					,      _A    :					str					,      _A    :					Path					,      _A    :					str = None					,      _A    :					str = None					,      _A    :					str = None					,      ):

      """simple docstring"""




      if config_name_or_path is None:
            lowerCamelCase__	:       List[str]					=						"facebook/rag-token-base" if model_type == "rag_token" else "facebook/rag-sequence-base"

      if generator_tokenizer_name_or_path is None:
            lowerCamelCase__	:       List[Any]					=						generator_name_or_path

      if question_encoder_tokenizer_name_or_path is None:
            lowerCamelCase__	:       Optional[Any]					=						question_encoder_name_or_path

      lowerCamelCase__	:       Optional[Any]					=						RagTokenForGeneration if model_type == "rag_token" else RagSequenceForGeneration

      # Save model.
      lowerCamelCase__	:       str					=						RagConfig.from_pretrained(_A		)
      lowerCamelCase__	:       Tuple					=						AutoConfig.from_pretrained(_A		)
      lowerCamelCase__	:       Tuple					=						AutoConfig.from_pretrained(_A		)

      lowerCamelCase__	:       Dict					=						gen_config
      lowerCamelCase__	:       Dict					=						question_encoder_config

      lowerCamelCase__	:       List[Any]					=						model_class.from_pretrained_question_encoder_generator(
          _A					,      _A					,      config=_A		)
      rag_model.save_pretrained(_A		)

      # Sanity check.
      model_class.from_pretrained(_A		)

      # Save tokenizers.
      lowerCamelCase__	:       Any					=						AutoTokenizer.from_pretrained(_A		)
      gen_tokenizer.save_pretrained(dest_dir / "generator_tokenizer/"		)
      lowerCamelCase__	:       List[str]					=						AutoTokenizer.from_pretrained(_A		)
      question_encoder_tokenizer.save_pretrained(dest_dir / "question_encoder_tokenizer/"		)


if __name__ == "__main__":
    A   :					int	=      argparse.ArgumentParser()
    parser.add_argument(
        "--model_type",
        choices=["rag_sequence", "rag_token"],
        required=True,
        type=str,
        help="RAG model type: rag_sequence, rag_token",
    )
    parser.add_argument("--dest", type=str, required=True, help="Path to the output checkpoint directory.")
    parser.add_argument("--generator_name_or_path", type=str, required=True, help="Generator model identifier")
    parser.add_argument(
        "--question_encoder_name_or_path", type=str, required=True, help="Question encoder model identifier"
    )

    parser.add_argument(
        "--generator_tokenizer_name_or_path",
        type=str,
        help="Generator tokenizer identifier, if not specified, resolves to ``generator_name_or_path``",
    )
    parser.add_argument(
        "--question_encoder_tokenizer_name_or_path",
        type=str,
        help="Question encoder tokenizer identifier, if not specified, resolves to ``question_encoder_name_or_path``",
    )
    parser.add_argument(
        "--config_name_or_path",
        type=str,
        help=(
            "Identifier of the model config to use, if not provided, resolves to a base config for a given"
            " ``model_type``"
        ),
    )

    A   :					Tuple	=      parser.parse_args()

    A   :					str	=      Path(args.dest)
    dest_dir.mkdir(exist_ok=True)

    consolidate(
        args.model_type,
        args.generator_name_or_path,
        args.question_encoder_name_or_path,
        dest_dir,
        args.config_name_or_path,
        args.generator_tokenizer_name_or_path,
        args.question_encoder_tokenizer_name_or_path,
    )






import os
from datetime import datetime as dt

from github import Github


A   :					Union[str, Any]	=      [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "enhancement",
    "new pipeline/model",
    "new scheduler",
    "wip",
]

def    lowercase_	(	):

      """simple docstring"""




      lowerCamelCase__	:       Optional[int]					=						Github(os.environ["GITHUB_TOKEN"]		)
      lowerCamelCase__	:       str					=						g.get_repo("huggingface/diffusers"		)
      lowerCamelCase__	:       Optional[int]					=						repo.get_issues(state="open"		)

      for issue in open_issues:
            lowerCamelCase__	:       str					=						sorted(issue.get_comments()					,      key=lambda _A		: i.created_at					,      reverse=_A		)
            lowerCamelCase__	:       str					=						comments[0] if len(_A		) > 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 >= 30
                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 > 23
                and (dt.utcnow() - issue.created_at).days >= 30
                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()


