



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

class  __snake_case      (   __A):







							'''simple docstring'''






							UpperCamelCase__				:      Any         =					"""ClapFeatureExtractor"""
							UpperCamelCase__				:      Any         =					("""RobertaTokenizer""", """RobertaTokenizerFast""")


							def __init__(							self  ,  a_  ,  a_		):
											super().__init__(UpperCamelCase__  ,  UpperCamelCase__		)


							def __call__(							self  ,  a_=None  ,  a_=None  ,  a_=None  ,  **a_		):
											a__				      =		kwargs.pop("""sampling_rate"""  ,  UpperCamelCase__		)

											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:
															a__				      =		self.tokenizer(UpperCamelCase__  ,  return_tensors=UpperCamelCase__  ,  **UpperCamelCase__		)

											if audios is not None:
															a__				      =		self.feature_extractor(
															    UpperCamelCase__  ,  sampling_rate=UpperCamelCase__  ,  return_tensors=UpperCamelCase__  ,  **UpperCamelCase__		)

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


							def _a      (							self  ,  *a_  ,  **a_		):
											return self.tokenizer.batch_decode(*UpperCamelCase__  ,  **UpperCamelCase__		)


							def _a      (							self  ,  *a_  ,  **a_		):
											return self.tokenizer.decode(*UpperCamelCase__  ,  **UpperCamelCase__		)







							@property
							def _a      (							self		):
											a__				      =		self.tokenizer.model_input_names
											a__				      =		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


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

def 			A_      (	):

				"""simple docstring"""
				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()

