



'''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 	_lowerCAmelCase      (  __snake_case  :			int=""      )					->					Dict:
     __A						:			Tuple								=	tempfile.mkdtemp()
     return os.path.join(_a			,							str(uuid.uuida()      ) + suffix      )


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


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Union[str, Any]								=	torch.rand(12						,     dtype=torch.floataa) - 0.5
          __A						:			Any								=	AgentAudio(_SCREAMING_SNAKE_CASE)
          __A						:			Dict								=	str(agent_type.to_string())

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

          del agent_type

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

          # Ensure that the file contains the same value as the original tensor
          __A						:			int								=	sf.read(_SCREAMING_SNAKE_CASE)
          self.assertTrue(torch.allclose(_SCREAMING_SNAKE_CASE						,     torch.tensor(_SCREAMING_SNAKE_CASE)						,     atol=1e-4))


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			int								=	torch.rand(12						,     dtype=torch.floataa) - 0.5
          __A						:			Tuple								=	get_new_path(suffix='.wav')
          sf.write(_SCREAMING_SNAKE_CASE						,     _SCREAMING_SNAKE_CASE						,     1_6000)

          __A						:			Optional[int]								=	AgentAudio(_SCREAMING_SNAKE_CASE)

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




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


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			str								=	torch.randint(0						,     256						,     (64, 64, 3))
          __A						:			List[str]								=	AgentImage(_SCREAMING_SNAKE_CASE)
          __A						:			Dict								=	str(agent_type.to_string())

          # Ensure that the tensor and the agent_type's tensor are the same
          self.assertTrue(torch.allclose(_SCREAMING_SNAKE_CASE						,     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(_SCREAMING_SNAKE_CASE))


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Optional[int]								=	Path(get_tests_dir('fixtures/tests_samples/COCO')) / "000000039769.png"
          __A						:			Dict								=	Image.open(_SCREAMING_SNAKE_CASE)
          __A						:			List[Any]								=	AgentImage(_SCREAMING_SNAKE_CASE)

          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(_SCREAMING_SNAKE_CASE))


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			List[Any]								=	Path(get_tests_dir('fixtures/tests_samples/COCO')) / "000000039769.png"
          __A						:			Any								=	Image.open(_SCREAMING_SNAKE_CASE)
          __A						:			List[str]								=	AgentImage(_SCREAMING_SNAKE_CASE)

          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(_SCREAMING_SNAKE_CASE))




class 			SCREAMING_SNAKE_CASE   (unittest.TestCase							):


     def 							SCREAMING_SNAKE_CASE  (						self):

          '''simple docstring'''






          __A						:			Optional[Any]								=	"Hey!"
          __A						:			Optional[int]								=	AgentText(_SCREAMING_SNAKE_CASE)

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






'''simple docstring'''




lowercase__   :				Any      =   {'''a''': ['''c''', '''b'''], '''b''': ['''d''', '''e'''], '''c''': [], '''d''': [], '''e''': []}
lowercase__   :				List[Any]      =   ['''a''', '''b''', '''c''', '''d''', '''e''']






def 	_lowerCAmelCase      (  __snake_case  :			str			,							__snake_case  :			Tuple			,							__snake_case  :			int      )					->					Tuple:
     __A						:			List[str]								=	start
     # add current to visited
     visited.append(__snake_case      )
     __A						:			Optional[int]								=	edges[current]
     for neighbor in neighbors:
          # if neighbor not in visited, visit
          if neighbor not in visited:
               __A						:			int								=	topological_sort(__snake_case			,							__snake_case			,							__snake_case      )
    # if all neighbors visited add current to sort
     sort.append(__snake_case      )
     # if all vertices haven't been visited select a new one to visit
     if len(__snake_case      ) != len(__snake_case      ):
          for vertice in vertices:
               if vertice not in visited:
                    __A						:			Dict								=	topological_sort(__snake_case			,							__snake_case			,							__snake_case      )
    # return sort
     return sort


if __name__ == "__main__":
  lowercase__   :				Tuple      =   topological_sort('''a''', [], [])
  print(sort)