






'''simple docstring'''
import os
import tempfile
import unittest
import uuid
from pathlib import Path

from transformers.testing_utils import get_tests_dir, require_soundfile, require_torch, require_vision
from transformers.tools.agent_types import AgentAudio, AgentImage, AgentText
from transformers.utils import is_soundfile_availble, is_torch_available, is_vision_available


if is_torch_available():
		import torch

if is_soundfile_availble():
		import soundfile as sf

if is_vision_available():
		from PIL import Image





def 	_a(					UpperCamelCase__			:  Optional[int]=""							):




						'''simple docstring'''






						SCREAMING_SNAKE_CASE__       :			List[str]													=tempfile.mkdtemp()
						return os.path.join(lowerCAmelCase__,		str(uuid.uuida()							) + suffix							)






@require_soundfile
@require_torch
class        __SCREAMING_SNAKE_CASE (     unittest.TestCase			):




	def        __magic_name__		( self		:							Optional[Any] )		->  Optional[int]:
							SCREAMING_SNAKE_CASE__       :			int													=torch.rand(12   , dtype=torch.floataa ) - 0.5
							SCREAMING_SNAKE_CASE__       :			Any													=AgentAudio(A__ )
							SCREAMING_SNAKE_CASE__       :			Optional[int]													=str(agent_type.to_string() )

							# Ensure that the tensor and the agent_type's tensor are the same
							self.assertTrue(torch.allclose(A__   , agent_type.to_raw()   , atol=1e-4 ) )

							del agent_type

							# Ensure the path remains even after the object deletion
							self.assertTrue(os.path.exists(A__ ) )

							# Ensure that the file contains the same value as the original tensor
							SCREAMING_SNAKE_CASE__						,		SCREAMING_SNAKE_CASE__       :			Optional[Any]													=sf.read(A__ )
							self.assertTrue(torch.allclose(A__   , torch.tensor(A__ )   , atol=1e-4 ) )




	def        __magic_name__		( self		:							str )		->  List[Any]:
							SCREAMING_SNAKE_CASE__       :			List[str]													=torch.rand(12   , dtype=torch.floataa ) - 0.5
							SCREAMING_SNAKE_CASE__       :			Optional[int]													=get_new_path(suffix='''.wav''' )
							sf.write(A__   , A__   , 1_60_00 )

							SCREAMING_SNAKE_CASE__       :			int													=AgentAudio(A__ )

							self.assertTrue(torch.allclose(A__   , agent_type.to_raw()   , atol=1e-4 ) )
							self.assertEqual(agent_type.to_string()   , A__ )






@require_vision
@require_torch
class        __SCREAMING_SNAKE_CASE (     unittest.TestCase			):




	def        __magic_name__		( self		:							List[Any] )		->  str:
							SCREAMING_SNAKE_CASE__       :			Optional[int]													=torch.randint(0   , 2_56   , (64, 64, 3) )
							SCREAMING_SNAKE_CASE__       :			int													=AgentImage(A__ )
							SCREAMING_SNAKE_CASE__       :			List[Any]													=str(agent_type.to_string() )

							# Ensure that the tensor and the agent_type's tensor are the same
							self.assertTrue(torch.allclose(A__   , agent_type._tensor   , atol=1e-4 ) )

							self.assertIsInstance(agent_type.to_raw()   , Image.Image )

							# Ensure the path remains even after the object deletion
							del agent_type
							self.assertTrue(os.path.exists(A__ ) )




	def        __magic_name__		( self		:							Tuple )		->  Optional[Any]:
							SCREAMING_SNAKE_CASE__       :			Union[str, Any]													=Path(get_tests_dir('''fixtures/tests_samples/COCO''' ) ) / '''000000039769.png'''
							SCREAMING_SNAKE_CASE__       :			Union[str, Any]													=Image.open(A__ )
							SCREAMING_SNAKE_CASE__       :			int													=AgentImage(A__ )

							self.assertTrue(path.samefile(agent_type.to_string() ) )
							self.assertTrue(image == agent_type.to_raw() )

							# Ensure the path remains even after the object deletion
							del agent_type
							self.assertTrue(os.path.exists(A__ ) )




	def        __magic_name__		( self		:							Union[str, Any] )		->  Dict:
							SCREAMING_SNAKE_CASE__       :			Tuple													=Path(get_tests_dir('''fixtures/tests_samples/COCO''' ) ) / '''000000039769.png'''
							SCREAMING_SNAKE_CASE__       :			Any													=Image.open(A__ )
							SCREAMING_SNAKE_CASE__       :			List[str]													=AgentImage(A__ )

							self.assertFalse(path.samefile(agent_type.to_string() ) )
							self.assertTrue(image == agent_type.to_raw() )

							# Ensure the path remains even after the object deletion
							del agent_type
							self.assertTrue(os.path.exists(A__ ) )






class        __SCREAMING_SNAKE_CASE (     unittest.TestCase			):




	def        __magic_name__		( self		:							List[str] )		->  Union[str, Any]:
							SCREAMING_SNAKE_CASE__       :			List[str]													='''Hey!'''
							SCREAMING_SNAKE_CASE__       :			int													=AgentText(A__ )

							self.assertEqual(A__   , agent_type.to_string() )
							self.assertEqual(A__   , agent_type.to_raw() )
							self.assertEqual(A__   , A__ )







'''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(					):




      '''simple docstring'''






      SCREAMING_SNAKE_CASE__       :			List[str]													=Github(os.environ['''GITHUB_TOKEN''']							)
      SCREAMING_SNAKE_CASE__       :			List[Any]													=g.get_repo('''huggingface/transformers'''							)
      SCREAMING_SNAKE_CASE__       :			List[Any]													=repo.get_issues(state='''open'''							)

      for issue in open_issues:
            SCREAMING_SNAKE_CASE__       :			List[Any]													=sorted([comment for comment in issue.get_comments()],		key=lambda UpperCamelCase__							: i.created_at,		reverse=UpperCamelCase__							)
            SCREAMING_SNAKE_CASE__       :			Dict													=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 >= 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()