


"""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    _snake_case  (  _snake_case :	List[Any]=""	):
      lowerCAmelCase    :		List[str]				=      tempfile.mkdtemp()
      return os.path.join(_snake_case       ,      str(uuid.uuida()	) + suffix	)



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






     def    lowerCamelCase__   (		self     :    Optional[int] ):
           lowerCAmelCase    :		Any				=      torch.rand(1_2    , dtype=torch.floataa ) - 0.5
           lowerCAmelCase    :		Tuple				=      AgentAudio(UpperCamelCase_ )
           lowerCAmelCase    :		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
           lowerCAmelCase,					lowerCAmelCase    :		str				=      sf.read(UpperCamelCase_ )
           self.assertTrue(torch.allclose(UpperCamelCase_    , torch.tensor(UpperCamelCase_ )    , atol=1E-4 ) )






     def    lowerCamelCase__   (		self     :    Any ):
           lowerCAmelCase    :		Union[str, Any]				=      torch.rand(1_2    , dtype=torch.floataa ) - 0.5
           lowerCAmelCase    :		int				=      get_new_path(suffix='''.wav''' )
           sf.write(UpperCamelCase_    , UpperCamelCase_    , 1_6_0_0_0 )

           lowerCAmelCase    :		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 						snake_case_(				unittest.TestCase	):






     def    lowerCamelCase__   (		self     :    Optional[int] ):
           lowerCAmelCase    :		List[Any]				=      torch.randint(0    , 2_5_6    , (6_4, 6_4, 3) )
           lowerCAmelCase    :		List[str]				=      AgentImage(UpperCamelCase_ )
           lowerCAmelCase    :		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    lowerCamelCase__   (		self     :    Dict ):
           lowerCAmelCase    :		Any				=      Path(get_tests_dir('''fixtures/tests_samples/COCO''' ) ) / '''000000039769.png'''
           lowerCAmelCase    :		Optional[int]				=      Image.open(UpperCamelCase_ )
           lowerCAmelCase    :		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    lowerCamelCase__   (		self     :    Tuple ):
           lowerCAmelCase    :		Any				=      Path(get_tests_dir('''fixtures/tests_samples/COCO''' ) ) / '''000000039769.png'''
           lowerCAmelCase    :		Tuple				=      Image.open(UpperCamelCase_ )
           lowerCAmelCase    :		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 						snake_case_(				unittest.TestCase	):






     def    lowerCamelCase__   (		self     :    Optional[Any] ):
           lowerCAmelCase    :		Optional[int]				=      '''Hey!'''
           lowerCAmelCase    :		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


