




from ...processing_utils import ProcessorMixin
from ...tokenization_utils_base import BatchEncoding






class  _lowerCAmelCase     (  UpperCamelCase_	):
      A__		     =		"""ClapFeatureExtractor"""
      A__		     =		("""RobertaTokenizer""", """RobertaTokenizerFast""")

      def __init__(   self      ,				__UpperCAmelCase      ,				__UpperCAmelCase		):
        super().__init__(_a      ,				_a		)

      def __call__(   self      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase=None      ,				**__UpperCAmelCase		):
        lowerCAmelCase__				:  int		       =     kwargs.pop('''sampling_rate'''      ,				_a		)

        if text is None and audios is None:
          raise ValueError('''You have to specify either text or audios. Both cannot be none.'''		)

        if text is not None:
          lowerCAmelCase__				:  int		       =     self.tokenizer(_a      ,				return_tensors=_a      ,				**_a		)

        if audios is not None:
          lowerCAmelCase__				:  List[str]		       =     self.feature_extractor(
              _a      ,				sampling_rate=_a      ,				return_tensors=_a      ,				**_a		)

        if text is not None and audios is not None:
          lowerCAmelCase__				:  Dict		       =     audio_features.input_features
          return encoding
        elif text is not None:
          return encoding
        else:
          return BatchEncoding(data=dict(**_a		)      ,				tensor_type=_a		)

      def 	__magic_name__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        return self.tokenizer.batch_decode(*_a      ,				**_a		)

      def 	__magic_name__(   self      ,				*__UpperCAmelCase      ,				**__UpperCAmelCase		):
        return self.tokenizer.decode(*_a      ,				**_a		)







      @property
      def 	__magic_name__(   self		):
        lowerCAmelCase__				:  Any		       =     self.tokenizer.model_input_names
        lowerCAmelCase__				:  List[str]		       =     self.feature_extractor.model_input_names
        return list(dict.fromkeys(tokenizer_input_names + feature_extractor_input_names		)		)







import os
from datetime import datetime as dt

from github import Github


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



def      __lowerCAmelCase			(					)     ->	List[Any]:
  lowerCAmelCase__				:  str		       =     Github(os.environ['''GITHUB_TOKEN''']      )
  lowerCAmelCase__				:  str		       =     g.get_repo('''huggingface/diffusers'''      )
  lowerCAmelCase__				:  List[str]		       =     repo.get_issues(state='''open'''      )

  for issue in open_issues:
    lowerCAmelCase__				:  Optional[Any]		       =     sorted(issue.get_comments()	,      key=lambda UpperCamelCase      : i.created_at	,      reverse=UpperCamelCase      )
    lowerCAmelCase__				:  int		       =     comments[0] if len(UpperCamelCase      ) > 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()

