




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 					snake_case(				__magic_name__=""    ) ->							Dict:





     '''simple docstring'''


     lowercase					:   List[str]								= tempfile.mkdtemp()
     return os.path.join(_snake_case ,		str(uuid.uuida()    ) + suffix    )
@require_soundfile
@require_torch
class 						_A					(  unittest.TestCase      ):






  def 					__a			(  self		:	Optional[int]      )		->    List[str]:






       """simple docstring"""







       lowercase					:   Any								= torch.rand(12      ,						dtype=torch.floataa      ) - 0.5
       lowercase					:   Tuple								= AgentAudio(UpperCamelCase_      )
       lowercase					:   str								= 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
       lowercase					:   str								= sf.read(UpperCamelCase_      )
       self.assertTrue(torch.allclose(UpperCamelCase_      ,						torch.tensor(UpperCamelCase_      )      ,						atol=1E-4      )      )






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






       """simple docstring"""







       lowercase					:   Union[str, Any]								= torch.rand(12      ,						dtype=torch.floataa      ) - 0.5
       lowercase					:   int								= get_new_path(suffix='''.wav'''      )
       sf.write(UpperCamelCase_      ,						UpperCamelCase_      ,						16_000      )

       lowercase					:   Optional[int]								= 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 						_A					(  unittest.TestCase      ):






  def 					__a			(  self		:	Optional[int]      )		->    Optional[Any]:






       """simple docstring"""







       lowercase					:   List[Any]								= torch.randint(0      ,						256      ,						(64, 64, 3)      )
       lowercase					:   List[str]								= AgentImage(UpperCamelCase_      )
       lowercase					:   int								= 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 					__a			(  self		:	Dict      )		->    List[Any]:






       """simple docstring"""







       lowercase					:   Any								= Path(get_tests_dir('''fixtures/tests_samples/COCO'''      )      ) / '''000000039769.png'''
       lowercase					:   Optional[int]								= Image.open(UpperCamelCase_      )
       lowercase					:   int								= 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 					__a			(  self		:	Tuple      )		->    str:






       """simple docstring"""







       lowercase					:   Any								= Path(get_tests_dir('''fixtures/tests_samples/COCO'''      )      ) / '''000000039769.png'''
       lowercase					:   Tuple								= Image.open(UpperCamelCase_      )
       lowercase					:   Optional[Any]								= 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 						_A					(  unittest.TestCase      ):






  def 					__a			(  self		:	Optional[Any]      )		->    int:






       """simple docstring"""







       lowercase					:   Optional[int]								= '''Hey!'''
       lowercase					:   Dict								= AgentText(UpperCamelCase_      )

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



"""simple docstring"""





from datetime import datetime

import matplotlib.pyplot as plt
import torch


def    _snake_case  (  _snake_case :	int	):
      for param in module.parameters():
            lowerCAmelCase    :		Optional[int]				=      False


def    _snake_case  (  ):
      lowerCAmelCase    :		List[str]				=      '''cuda''' if torch.cuda.is_available() else '''cpu'''
      if torch.backends.mps.is_available() and torch.backends.mps.is_built():
            lowerCAmelCase    :		Any				=      '''mps'''
      if device == "mps":
            print(
                '''WARNING: MPS currently doesn\'t seem to work, and messes up backpropagation without any visible torch'''
                ''' errors. I recommend using CUDA on a colab notebook or CPU instead if you\'re facing inexplicable issues'''
                ''' with generations.'''	)
      return device


def    _snake_case  (  _snake_case :	Dict	):
      lowerCAmelCase    :		Optional[int]				=      plt.imshow(_snake_case	)
      fig.axes.get_xaxis().set_visible(_snake_case	)
      fig.axes.get_yaxis().set_visible(_snake_case	)
      plt.show()






def    _snake_case  (  ):
      lowerCAmelCase    :		List[str]				=      datetime.now()
      lowerCAmelCase    :		Union[str, Any]				=      current_time.strftime('''%H:%M:%S'''	)
      return timestamp


