


"""simple docstring"""


from datetime import datetime as dt
import os

from github import Github


a_       							=    [
    "good first issue",
    "good second issue",
    "good difficult issue",
    "feature request",
    "new model",
    "wip",
]






def      a__ (				)	->	Tuple:
				_A					  =			Github(os.environ["GITHUB_TOKEN"]   )
				_A					  =			g.get_repo("huggingface/transformers"   )
				_A					  =			repo.get_issues(state="open"   )

				for issue in open_issues:
								_A					  =			sorted([comment for comment in issue.get_comments()]     ,			key=lambda __lowercase   : i.created_at     ,			reverse=snake_case_   )
								_A					  =			comments[0] if len(snake_case_   ) > 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"""


import unittest

from transformers import load_tool

from .test_tools_common import ToolTesterMixin
class snake_case      (  unittest.TestCase     ,				_UpperCamelCase):







		def  a_ (					self      :       Optional[Any]		)       ->						List[str]:





						'''simple docstring'''







						_A					  =			load_tool("text-classification"		)
						self.tool.setup()
						_A					  =			load_tool("text-classification"    ,   remote=a__		)







		def  a_ (					self      :       Optional[int]		)       ->						Dict:





						'''simple docstring'''







						_A					  =			self.tool("That's quite cool"    ,   ["positive", "negative"]		)
						self.assertEqual(a__    ,   "positive"		)







		def  a_ (					self      :       Optional[Any]		)       ->						Dict:





						'''simple docstring'''







						_A					  =			self.remote_tool("That's quite cool"    ,   ["positive", "negative"]		)
						self.assertEqual(a__    ,   "positive"		)







		def  a_ (					self      :       Dict		)       ->						Optional[int]:





						'''simple docstring'''







						_A					  =			self.tool(text="That's quite cool"    ,   labels=["positive", "negative"]		)
						self.assertEqual(a__    ,   "positive"		)







		def  a_ (					self      :       Dict		)       ->						Any:





						'''simple docstring'''







						_A					  =			self.remote_tool(text="That's quite cool"    ,   labels=["positive", "negative"]		)
						self.assertEqual(a__    ,   "positive"		)