


'''simple docstring'''






import os
from datetime import datetime as dt

from github import Github


__A   :    str											= [
    "good first issue",
    "feature request",
    "wip",
]







def 							UpperCamelCase_     (       ):
  '''simple docstring'''





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

  for issue in open_issues:
    lowerCAmelCase_     : List[str]     =  sorted([comment for comment in issue.get_comments()]				,       key=lambda A__   : i.created_at				,       reverse=A__   )
    lowerCAmelCase_     : List[Any]     =  comments[0] if len(A__   ) > 0 else None
    lowerCAmelCase_     : Optional[Any]     =  dt.utcnow()
    lowerCAmelCase_     : Optional[Any]     =  (current_time - issue.updated_at).days
    lowerCAmelCase_     : Optional[Any]     =  (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_speech_available, is_torch_available


__A   :    str											= {
    "configuration_audio_spectrogram_transformer": [
        "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ASTConfig",
    ]
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A   :    List[str]											= [
      "AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
      "ASTForAudioClassification",
      "ASTModel",
      "ASTPreTrainedModel",
  ]

try:
  if not is_speech_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  __A   :    Union[str, Any]											= ["ASTFeatureExtractor"]

if TYPE_CHECKING:
  from .configuration_audio_spectrogram_transformer import (
      AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
      ASTConfig,
  )

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_audio_spectrogram_transformer import (
        AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
        ASTForAudioClassification,
        ASTModel,
        ASTPreTrainedModel,
    )

  try:
    if not is_speech_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .feature_extraction_audio_spectrogram_transformer import ASTFeatureExtractor


else:
  import sys

  __A   :    List[Any]											= _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)



