




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


lowerCAmelCase_					    = logging.get_logger(__name__)

lowerCAmelCase_					    = {
    """microsoft/swin-tiny-patch4-window7-224""": (
        """https://huggingface.co/microsoft/swin-tiny-patch4-window7-224/resolve/main/config.json"""
    ),
    # See all Swin models at https://huggingface.co/models?filter=swin
}






class  _lowerCAmelCase     (  _lowercase    ,			_lowercase	):
      A__		     =		'swin'

      A__		     =		{
          'num_attention_heads': 'num_heads',
          'num_hidden_layers': 'num_layers',
      }

      def __init__(   self      ,				__UpperCAmelCase=224      ,				__UpperCAmelCase=4      ,				__UpperCAmelCase=3      ,				__UpperCAmelCase=96      ,				__UpperCAmelCase=[2, 2, 6, 2]      ,				__UpperCAmelCase=[3, 6, 12, 24]      ,				__UpperCAmelCase=7      ,				__UpperCAmelCase=4.0      ,				__UpperCAmelCase=True      ,				__UpperCAmelCase=0.0      ,				__UpperCAmelCase=0.0      ,				__UpperCAmelCase=0.1      ,				__UpperCAmelCase="gelu"      ,				__UpperCAmelCase=False      ,				__UpperCAmelCase=0.02      ,				__UpperCAmelCase=1e-5      ,				__UpperCAmelCase=32      ,				__UpperCAmelCase=None      ,				__UpperCAmelCase=None      ,				**__UpperCAmelCase      ,				):
        super().__init__(**__UpperCAmelCase		)

        lowerCAmelCase__				:  Optional[Any]		       =     image_size
        lowerCAmelCase__				:  List[str]		       =     patch_size
        lowerCAmelCase__				:  Optional[int]		       =     num_channels
        lowerCAmelCase__				:  int		       =     embed_dim
        lowerCAmelCase__				:  int		       =     depths
        lowerCAmelCase__				:  Union[str, Any]		       =     len(__UpperCAmelCase		)
        lowerCAmelCase__				:  Tuple		       =     num_heads
        lowerCAmelCase__				:  Optional[int]		       =     window_size
        lowerCAmelCase__				:  Any		       =     mlp_ratio
        lowerCAmelCase__				:  Optional[int]		       =     qkv_bias
        lowerCAmelCase__				:  List[str]		       =     hidden_dropout_prob
        lowerCAmelCase__				:  List[Any]		       =     attention_probs_dropout_prob
        lowerCAmelCase__				:  List[Any]		       =     drop_path_rate
        lowerCAmelCase__				:  Optional[int]		       =     hidden_act
        lowerCAmelCase__				:  Union[str, Any]		       =     use_absolute_embeddings
        lowerCAmelCase__				:  int		       =     layer_norm_eps
        lowerCAmelCase__				:  Union[str, Any]		       =     initializer_range
        lowerCAmelCase__				:  int		       =     encoder_stride
        # we set the hidden_size attribute in order to make Swin work with VisionEncoderDecoderModel
        # this indicates the channel dimension after the last stage of the model
        lowerCAmelCase__				:  Tuple		       =     int(embed_dim * 2 ** (len(__UpperCAmelCase		) - 1)		)
        lowerCAmelCase__				:  Union[str, Any]		       =     ['''stem'''] + [f"""stage{idx}""" for idx in range(1      ,				len(__UpperCAmelCase		) + 1		)]
        lowerCAmelCase__       ,			lowerCAmelCase__				:  Any		       =     get_aligned_output_features_output_indices(
            out_features=__UpperCAmelCase      ,				out_indices=__UpperCAmelCase      ,				stage_names=self.stage_names		)






class  _lowerCAmelCase     (  _lowercase	):
      A__		     =		version.parse('1.11'	)

      @property
      def 	__magic_name__(   self		):
        return OrderedDict(
            [
                ('''pixel_values''', {0: '''batch''', 1: '''num_channels''', 2: '''height''', 3: '''width'''}),
            ]		)







      @property
      def 	__magic_name__(   self		):
        return 1e-4







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()

