
"""simple docstring"""


import tempfile
import unittest

from make_student import create_student_by_copying_alternating_layers

from transformers import AutoConfig
from transformers.file_utils import cached_property
from transformers.testing_utils import require_torch


_lowercase							      = '''sshleifer/bart-tiny-random'''
_lowercase							      = '''patrickvonplaten/t5-tiny-random'''







@require_torch
class  lowerCAmelCase_ (					unittest.TestCase			):



						'''simple docstring'''


						@cached_property
						def   _SCREAMING_SNAKE_CASE					(       self   :					List[str]					)   ->      Optional[Any]:
							return AutoConfig.from_pretrained(A_					)


						def   _SCREAMING_SNAKE_CASE					(       self   :					int					)   ->      List[str]:
							A      ,					*A        =      create_student_by_copying_alternating_layers(A_     ,tempfile.mkdtemp()     ,e=1     ,d=1					)
							self.assertEqual(student.config.num_hidden_layers     ,1					)


						def   _SCREAMING_SNAKE_CASE					(       self   :					List[Any]					)   ->      Dict:
							A      ,					*A        =      create_student_by_copying_alternating_layers(A_     ,tempfile.mkdtemp()     ,e=1     ,d=A_					)


						def   _SCREAMING_SNAKE_CASE					(       self   :					Optional[int]					)   ->      Dict:
							A      ,					*A        =      create_student_by_copying_alternating_layers(A_     ,tempfile.mkdtemp()     ,e=1     ,d=A_					)
							self.assertEqual(student.config.encoder_layers     ,1					)
							self.assertEqual(student.config.decoder_layers     ,self.teacher_config.encoder_layers					)


						def   _SCREAMING_SNAKE_CASE					(       self   :					Tuple					)   ->      Optional[int]:
							A      ,					*A        =      create_student_by_copying_alternating_layers(A_     ,tempfile.mkdtemp()     ,e=1     ,d=1					)
							self.assertEqual(student.config.encoder_layers     ,1					)
							self.assertEqual(student.config.decoder_layers     ,1					)




						def   _SCREAMING_SNAKE_CASE					(       self   :					Tuple					)   ->      Tuple:
							with self.assertRaises(A_					):
								create_student_by_copying_alternating_layers(A_     ,tempfile.mkdtemp()     ,e=A_     ,d=A_					)




from datetime import datetime as dt
import os

from github import Github


A__  :  List[str]								=					[
    '''good first issue''',
    '''good second issue''',
    '''good difficult issue''',
    '''feature request''',
    '''new model''',
    '''wip''',
]


def 			UpperCamelCase(  ):
		lowerCAmelCase_			:     Union[str, Any]									= Github(os.environ['''GITHUB_TOKEN'''] )
		lowerCAmelCase_			:     Tuple									= g.get_repo('''huggingface/transformers''' )
		lowerCAmelCase_			:     int									= repo.get_issues(state='''open''' )

		for issue in open_issues:
				lowerCAmelCase_			:     Optional[Any]									= sorted([comment for comment in issue.get_comments()]     ,key=lambda __UpperCamelCase : i.created_at     ,reverse=__UpperCamelCase )
				lowerCAmelCase_			:     Tuple									= 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()





