






"""simple docstring"""
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 				snake_case      (   ):
			UpperCAmelCase_     : Tuple			     =					Github(os.environ["GITHUB_TOKEN"]						)
			UpperCAmelCase_     : int			     =					g.get_repo("huggingface/diffusers"						)
			UpperCAmelCase_     : int			     =					repo.get_issues(state="open"						)

			for issue in open_issues:
						UpperCAmelCase_     : int			     =					sorted(issue.get_comments()	,key=lambda A__						: i.created_at	,reverse=A__						)
						UpperCAmelCase_     : Tuple			     =					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()










import torch
from transformers import PreTrainedModel, XLMRobertaConfig, XLMRobertaModel







class 				__lowerCAmelCase       (    UpperCamelCase__):
      _lowercase				:					Tuple						=			"""M-CLIP"""







      def __init__(    self		,      lowerCAmelCase__=1_0_2_4		,      lowerCAmelCase__=7_6_8		,      **lowerCAmelCase__							)   ->						Any:



        '''simple docstring'''




        a__	:					int										=transformerDimSize
        a__	:					Dict										=imageDimSize
        super().__init__(**lowerCAmelCase__							)







class 				__lowerCAmelCase       (    UpperCamelCase__):
      _lowercase				:					Optional[Any]						=			MCLIPConfig







      def __init__(    self		,      lowerCAmelCase__		,      *lowerCAmelCase__		,      **lowerCAmelCase__							)   ->						List[str]:



        '''simple docstring'''




        super().__init__(lowerCAmelCase__		,      *lowerCAmelCase__		,      **lowerCAmelCase__							)
        a__	:					Tuple										=XLMRobertaModel(lowerCAmelCase__							)
        a__	:					List[str]										=torch.nn.Linear(
            in_features=config.transformerDimensions		,      out_features=config.numDims							)







      def    _lowercase  (    self		,      lowerCAmelCase__		,      lowerCAmelCase__							)   ->						Union[str, Any]:



        '''simple docstring'''




        a__	:					Optional[Any]										=self.transformer(input_ids=lowerCAmelCase__		,      attention_mask=lowerCAmelCase__							)[0]
        a__	:					int										=(embs * attention_mask.unsqueeze(2							)).sum(dim=1							) / attention_mask.sum(dim=1							)[:, None]
        return self.LinearTransformation(lowerCAmelCase__							), embs






