




import os
from datetime import datetime as dt

from github import Github


__a							     =					[
    'good first issue',
    'feature request',
    'wip',
]







def lowerCamelCase__  (     ):

     '''simple docstring'''


     UpperCAmelCase_     :				str  =     Github(os.environ['''GITHUB_TOKEN'''] )
     UpperCAmelCase_     :				Union[str, Any]  =     g.get_repo('''huggingface/accelerate''' )
     UpperCAmelCase_     :				str  =     repo.get_issues(state='''open''' )

     for issue in open_issues:
          UpperCAmelCase_     :				Dict  =     sorted([comment for comment in issue.get_comments()]					,		key=lambda _lowercase : i.created_at					,		reverse=_lowercase )
          UpperCAmelCase_     :				Optional[Any]  =     comments[0] if len(_lowercase ) > 0 else None
          UpperCAmelCase_     :				Optional[Any]  =     dt.utcnow()
          UpperCAmelCase_     :				List[Any]  =     (current_time - issue.updated_at).days
          UpperCAmelCase_     :				str  =     (current_time - issue.created_at).days
          if (
              last_comment is not None
              and last_comment.user.login == "github-actions[bot]"
              and days_since_updated > 7
              and days_since_creation >= 30
              and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels() )
          ):
               # Close issue since it has been 7 days of inactivity since bot mention.
               issue.edit(state='''closed''' )
          elif (
              days_since_updated > 23
              and days_since_creation >= 30
              and not any(label.name.lower() in LABELS_TO_EXEMPT for label in issue.get_labels() )
          ):
               # Add stale comment
               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/accelerate/blob/main/CONTRIBUTING.md) '''
                   '''are likely to be ignored.''' )


if __name__ == "__main__":
     main()

'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowercase__						       =      {
    "configuration_poolformer": [
        "POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "PoolFormerConfig",
        "PoolFormerOnnxConfig",
    ]
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["PoolFormerFeatureExtractor"]
						lowercase__						       =      ["PoolFormerImageProcessor"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      [
						    "POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "PoolFormerForImageClassification",
						    "PoolFormerModel",
						    "PoolFormerPreTrainedModel",
						]


if TYPE_CHECKING:
						from .configuration_poolformer import (
						    POOLFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    PoolFormerConfig,
						    PoolFormerOnnxConfig,
						)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_poolformer import PoolFormerFeatureExtractor
												from .image_processing_poolformer import PoolFormerImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_poolformer import (
												    POOLFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    PoolFormerForImageClassification,
												    PoolFormerModel,
												    PoolFormerPreTrainedModel,
												)


else:
						import sys

						lowercase__						       =      _LazyModule(__name__, globals()["__file__"], _import_structure)


