






import os
from datetime import datetime as dt

from github import Github


UpperCAmelCase__							  =						[
    "good first issue",
    "good second issue",
    "good difficult issue",
    "enhancement",
    "new pipeline/model",
    "new scheduler",
    "wip",
]
def 		_a       ( )				->     List[str]:
 a						    = Github(os.environ['''GITHUB_TOKEN''']					)
 a						    = g.get_repo('''huggingface/diffusers'''					)
 a						    = repo.get_issues(state='''open'''					)

 for issue in open_issues:
  a						    = sorted(issue.get_comments()      ,				key=lambda a					: i.created_at      ,				reverse=a					)
  a						    = 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()










from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


UpperCAmelCase__							  =						{
    "configuration_rag": ["RagConfig"],
    "retrieval_rag": ["RagRetriever"],
    "tokenization_rag": ["RagTokenizer"],
}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__							  =						[
         "RagModel",
         "RagPreTrainedModel",
         "RagSequenceForGeneration",
         "RagTokenForGeneration",
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     UpperCAmelCase__							  =						[
         "TFRagModel",
         "TFRagPreTrainedModel",
         "TFRagSequenceForGeneration",
         "TFRagTokenForGeneration",
     ]


if TYPE_CHECKING:
     from .configuration_rag import RagConfig
     from .retrieval_rag import RagRetriever
     from .tokenization_rag import RagTokenizer

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_rag import RagModel, RagPreTrainedModel, RagSequenceForGeneration, RagTokenForGeneration

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_rag import (
              TFRagModel,
              TFRagPreTrainedModel,
              TFRagSequenceForGeneration,
              TFRagTokenForGeneration,
          )

else:
     import sys

     UpperCAmelCase__							  =						_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)


