

'''simple docstring'''
from datetime import datetime as dt
import os

from github import Github


lowerCamelCase			:				Dict 			=					[
    "good first issue",
    "good second issue",
    "good difficult issue",
    "feature request",
    "new model",
    "wip",
]


def 	_lowerCAmelCase (						)				->      Optional[int]:
     """simple docstring"""




     _SCREAMING_SNAKE_CASE							   =Github(os.environ['GITHUB_TOKEN']    )
     _SCREAMING_SNAKE_CASE							   =g.get_repo('huggingface/transformers'    )
     _SCREAMING_SNAKE_CASE							   =repo.get_issues(state='open'    )

     for issue in open_issues:
          _SCREAMING_SNAKE_CASE							   =sorted([comment for comment in issue.get_comments()]							,			key=lambda _UpperCamelCase    : i.created_at							,			reverse=_UpperCamelCase    )
          _SCREAMING_SNAKE_CASE							   =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()    )
          ):
               # print(f"Would close issue {issue.number} since it has been 7 days of inactivity since bot mention.")
               issue.edit(state='closed'    )
          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()    )
          ):
               # print(f"Would add stale comment to {issue.number}")
               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/transformers/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


lowerCamelCase			:				List[str] 			=					{"configuration_ibert": ["IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "IBertConfig", "IBertOnnxConfig"]}

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     lowerCamelCase			:				Union[str, Any] 			=					[
         "IBERT_PRETRAINED_MODEL_ARCHIVE_LIST",
         "IBertForMaskedLM",
         "IBertForMultipleChoice",
         "IBertForQuestionAnswering",
         "IBertForSequenceClassification",
         "IBertForTokenClassification",
         "IBertModel",
         "IBertPreTrainedModel",
     ]

if TYPE_CHECKING:
     from .configuration_ibert import IBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, IBertConfig, IBertOnnxConfig

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_ibert import (
              IBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
              IBertForMaskedLM,
              IBertForMultipleChoice,
              IBertForQuestionAnswering,
              IBertForSequenceClassification,
              IBertForTokenClassification,
              IBertModel,
              IBertPreTrainedModel,
          )

else:
     import sys

     lowerCamelCase			:				str 			=					_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
