



'''simple docstring'''




from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
							from .features import FeatureType

@dataclass
class     UpperCamelCase_				:
	lowercase    =				42
	lowercase    =				None
	# Automatically constructed
	lowercase    =				"dict"
	lowercase    =				None
	lowercase    =				field(default='Translation'   ,  init=__lowercase   ,  repr=__lowercase    )





	def __call__(						self					)    ->    List[str]:
								return pa.struct({lang: pa.string() for lang in sorted(self.languages					)}					)






	def 				_lowercase(						self					)    ->    Union["FeatureType", Dict[str, "FeatureType"]]:
								from .features import Value

								return {k: Value("""string"""					) for k in sorted(self.languages					)}




@dataclass
class     UpperCamelCase_				:
	lowercase    =				None
	lowercase    =				None
	lowercase    =				None
	# Automatically constructed
	lowercase    =				"dict"
	lowercase    =				None
	lowercase    =				field(default='TranslationVariableLanguages'   ,  init=__lowercase   ,  repr=__lowercase    )





	def 				_lowercase(						self					)    ->    Any:
								UpperCAmelCase  :	Tuple							  =	sorted(set(self.languages					)					) if self.languages else None
								UpperCAmelCase  :	List[Any]							  =	len(self.languages					) if self.languages else None





	def __call__(						self					)    ->    List[Any]:
								return pa.struct({"""language""": pa.list_(pa.string()					), """translation""": pa.list_(pa.string()					)}					)





	def 				_lowercase(						self	,	A					)    ->    Any:
								UpperCAmelCase  :	str							  =	set(self.languages					)
								if self.languages and set(__a					) - lang_set:
															raise ValueError(
															    f'''Some languages in example ({', '.join(sorted(set(__a					) - lang_set					)					)}) are not in valid set ({', '.join(__a					)}).'''					)

								# Convert dictionary into tuples, splitting out cases where there are
								# multiple translations for a single language.
								UpperCAmelCase  :	Any							  =	[]
								for lang, text in translation_dict.items():
															if isinstance(__a	,	__a					):
																						translation_tuples.append((lang, text)					)
															else:
																						translation_tuples.extend([(lang, el) for el in text]					)

        # Ensure translations are in ascending order by language code.
								UpperCAmelCase  :	Tuple							  =	zip(*sorted(__a					)					)

								return {"language": languages, "translation": translations}






	def 				_lowercase(						self					)    ->    Union["FeatureType", Dict[str, "FeatureType"]]:
								from .features import Sequence, Value

								return {
								    "language": Sequence(Value("""string"""					)					),
								    "translation": Sequence(Value("""string"""					)					),
								}






'''simple docstring'''




from datetime import datetime as dt
import os

from github import Github


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



def    __lowerCamelCase						(      )   ->    Dict:
							UpperCAmelCase  :	str							  =	Github(os.environ["""GITHUB_TOKEN"""]	)
							UpperCAmelCase  :	Dict							  =	g.get_repo("""huggingface/transformers"""	)
							UpperCAmelCase  :	int							  =	repo.get_issues(state="""open"""	)

							for issue in open_issues:
														UpperCAmelCase  :	Optional[int]							  =	sorted([comment for comment in issue.get_comments()]			,       key=lambda _lowercase	: i.created_at			,       reverse=_lowercase	)
														UpperCAmelCase  :	Any							  =	comments[0] if len(_lowercase	) > 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 >= 3_0
														    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 > 2_3
														    and (dt.utcnow() - issue.created_at).days >= 3_0
														    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()

