





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      __lowercase     (   _SCREAMING_SNAKE_CASE=""			)				->     List[Any]:


      '''simple docstring'''


      SCREAMING_SNAKE_CASE	=		tempfile.mkdtemp()
      return os.path.join(lowerCAmelCase__				,		str(uuid.uuida()			) + suffix			)

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



     '''simple docstring'''

     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any] )  ->	List[Any]:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		torch.rand(12		,dtype=torch.floataa ) - 0.5
           SCREAMING_SNAKE_CASE	=		AgentAudio(UpperCamelCase__ )
           SCREAMING_SNAKE_CASE	=		str(agent_type.to_string() )

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

           del agent_type

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

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






     def        SCREAMING_SNAKE_CASE__						(							self		:					int )  ->	str:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		torch.rand(12		,dtype=torch.floataa ) - 0.5
           SCREAMING_SNAKE_CASE	=		get_new_path(suffix=""".wav""" )
           sf.write(UpperCamelCase__		,UpperCamelCase__		,16000 )

           SCREAMING_SNAKE_CASE	=		AgentAudio(UpperCamelCase__ )

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

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



     '''simple docstring'''

     def        SCREAMING_SNAKE_CASE__						(							self		:					Tuple )  ->	Any:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		torch.randint(0		,256		,(64, 64, 3) )
           SCREAMING_SNAKE_CASE	=		AgentImage(UpperCamelCase__ )
           SCREAMING_SNAKE_CASE	=		str(agent_type.to_string() )

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






     def        SCREAMING_SNAKE_CASE__						(							self		:					Dict )  ->	Tuple:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		Path(get_tests_dir("""fixtures/tests_samples/COCO""" ) ) / '000000039769.png'
           SCREAMING_SNAKE_CASE	=		Image.open(UpperCamelCase__ )
           SCREAMING_SNAKE_CASE	=		AgentImage(UpperCamelCase__ )

           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(UpperCamelCase__ ) )






     def        SCREAMING_SNAKE_CASE__						(							self		:					Dict )  ->	Any:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		Path(get_tests_dir("""fixtures/tests_samples/COCO""" ) ) / '000000039769.png'
           SCREAMING_SNAKE_CASE	=		Image.open(UpperCamelCase__ )
           SCREAMING_SNAKE_CASE	=		AgentImage(UpperCamelCase__ )

           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(UpperCamelCase__ ) )

class 	UpperCamelCase__				(   unittest.TestCase     ):



     '''simple docstring'''

     def        SCREAMING_SNAKE_CASE__						(							self		:					List[Any] )  ->	Tuple:




           '''simple docstring'''


           SCREAMING_SNAKE_CASE	=		'Hey!'
           SCREAMING_SNAKE_CASE	=		AgentText(UpperCamelCase__ )

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










import warnings

from ...utils import logging
from .image_processing_deformable_detr import DeformableDetrImageProcessor


SCREAMING_SNAKE_CASE_		     = logging.get_logger(__name__)

class 	UpperCamelCase__				(   lowerCAmelCase_     ):



     '''simple docstring'''

     def __init__(							self		:					int		,*lowerCamelCase__		:					int		,**lowerCamelCase__		:					List[Any] )  ->	None:




           '''simple docstring'''


           warnings.warn(
               """The class DeformableDetrFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
               """ Please use DeformableDetrImageProcessor instead."""		,lowerCamelCase__		,)
           super().__init__(*lowerCamelCase__		,**lowerCamelCase__ )


