'''simple docstring'''

import os
from datetime import datetime as dt

from github import Github


_A			:      Union[str, Any]					      =				[
    "good first issue",
    "feature request",
    "wip",
]







def      UpperCamelCase_						(					)					->     int:






 '''simple docstring'''

 __lowerCAmelCase											=						Github(os.environ["""GITHUB_TOKEN"""]      )
 __lowerCAmelCase											=						g.get_repo("""huggingface/accelerate"""      )
 __lowerCAmelCase											=						repo.get_issues(state="""open"""      )

 for issue in open_issues:
  __lowerCAmelCase											=						sorted([comment for comment in issue.get_comments()]						,		key=lambda snake_case_      : i.created_at						,		reverse=_lowerCAmelCase      )
  __lowerCAmelCase											=						comments[0] if len(_lowerCAmelCase      ) > 0 else None
  __lowerCAmelCase											=						dt.utcnow()
  __lowerCAmelCase											=						(current_time - issue.updated_at).days
  __lowerCAmelCase											=						(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_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


UpperCamelCase__:   str								=			{
    "configuration_lxmert": ["LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP", "LxmertConfig"],
    "tokenization_lxmert": ["LxmertTokenizer"],
}

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__:   int								=			["LxmertTokenizerFast"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__:   Union[str, Any]								=			[
						    "LxmertEncoder",
						    "LxmertForPreTraining",
						    "LxmertForQuestionAnswering",
						    "LxmertModel",
						    "LxmertPreTrainedModel",
						    "LxmertVisualFeatureEncoder",
						    "LxmertXLayer",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						UpperCamelCase__:   int								=			[
						    "TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "TFLxmertForPreTraining",
						    "TFLxmertMainLayer",
						    "TFLxmertModel",
						    "TFLxmertPreTrainedModel",
						    "TFLxmertVisualFeatureEncoder",
						]


if TYPE_CHECKING:
						from .configuration_lxmert import LXMERT_PRETRAINED_CONFIG_ARCHIVE_MAP, LxmertConfig
						from .tokenization_lxmert import LxmertTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_lxmert_fast import LxmertTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_lxmert import (
												    LxmertEncoder,
												    LxmertForPreTraining,
												    LxmertForQuestionAnswering,
												    LxmertModel,
												    LxmertPreTrainedModel,
												    LxmertVisualFeatureEncoder,
												    LxmertXLayer,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_lxmert import (
												    TF_LXMERT_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFLxmertForPreTraining,
												    TFLxmertMainLayer,
												    TFLxmertModel,
												    TFLxmertPreTrainedModel,
												    TFLxmertVisualFeatureEncoder,
												)

else:
						import sys

						UpperCamelCase__:   Tuple								=			_LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





