


from ...configuration_utils import PretrainedConfig
from ...utils import logging


A   :					Optional[Any]	=      logging.get_logger(__name__)

A   :					str	=      {
    "caidas/swin2sr-classicalsr-x2-64": (
        "https://huggingface.co/caidas/swin2sr-classicalsr-x2-64/resolve/main/config.json"
    ),
}







class     _lowercase				(							lowercase__):


       """simple docstring"""




       A__      		=    "swin2sr"

       A__      		=    {
           "hidden_size": "embed_dim",
           "num_attention_heads": "num_heads",
           "num_hidden_layers": "num_layers",
       }





       def __init__(     self							:    Union[str, Any]      ,   __lowerCamelCase							:    List[str]=64      ,   __lowerCamelCase							:    Any=1      ,   __lowerCamelCase							:    Optional[Any]=3      ,   __lowerCamelCase							:    Any=180      ,   __lowerCamelCase							:    Optional[int]=[6, 6, 6, 6, 6, 6]      ,   __lowerCamelCase							:    Optional[Any]=[6, 6, 6, 6, 6, 6]      ,   __lowerCamelCase							:    str=8      ,   __lowerCamelCase							:    List[str]=2.0      ,   __lowerCamelCase							:    Union[str, Any]=True      ,   __lowerCamelCase							:    Optional[Any]=0.0      ,   __lowerCamelCase							:    Any=0.0      ,   __lowerCamelCase							:    Dict=0.1      ,   __lowerCamelCase							:    str="gelu"      ,   __lowerCamelCase							:    Any=False      ,   __lowerCamelCase							:    Any=0.0_2      ,   __lowerCamelCase							:    Optional[int]=1E-5      ,   __lowerCamelCase							:    str=2      ,   __lowerCamelCase							:    int=1.0      ,   __lowerCamelCase							:    int="1conv"      ,   __lowerCamelCase							:    str="pixelshuffle"      ,   **__lowerCamelCase							:    Optional[Any]      ,   ):


             '''simple docstring'''



             super().__init__(**__lowerCamelCase )

             lowerCamelCase__	:       Any					=						image_size
             lowerCamelCase__	:       Union[str, Any]					=						patch_size
             lowerCamelCase__	:       Optional[Any]					=						num_channels
             lowerCamelCase__	:       List[str]					=						embed_dim
             lowerCamelCase__	:       Optional[int]					=						depths
             lowerCamelCase__	:       int					=						len(__lowerCamelCase )
             lowerCamelCase__	:       str					=						num_heads
             lowerCamelCase__	:       Optional[Any]					=						window_size
             lowerCamelCase__	:       List[str]					=						mlp_ratio
             lowerCamelCase__	:       Dict					=						qkv_bias
             lowerCamelCase__	:       Optional[Any]					=						hidden_dropout_prob
             lowerCamelCase__	:       Any					=						attention_probs_dropout_prob
             lowerCamelCase__	:       Optional[int]					=						drop_path_rate
             lowerCamelCase__	:       Union[str, Any]					=						hidden_act
             lowerCamelCase__	:       Optional[Any]					=						use_absolute_embeddings
             lowerCamelCase__	:       Optional[int]					=						layer_norm_eps
             lowerCamelCase__	:       int					=						initializer_range
             lowerCamelCase__	:       Any					=						upscale
             lowerCamelCase__	:       Union[str, Any]					=						img_range
             lowerCamelCase__	:       Dict					=						resi_connection
             lowerCamelCase__	:       Optional[Any]					=						upsampler






import os
from datetime import datetime as dt

from github import Github


A   :					Union[str, Any]	=      [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "enhancement",
    "new pipeline/model",
    "new scheduler",
    "wip",
]

def    lowercase_	(	):

      """simple docstring"""




      lowerCamelCase__	:       Optional[int]					=						Github(os.environ["GITHUB_TOKEN"]		)
      lowerCamelCase__	:       str					=						g.get_repo("huggingface/diffusers"		)
      lowerCamelCase__	:       Optional[int]					=						repo.get_issues(state="open"		)

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


