





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_     (		A__=""    )  ->		str:
       a__						:     List[Any]			=    tempfile.mkdtemp()
       return os.path.join(snake_case_		,				str(uuid.uuida()    ) + suffix    )





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




   """simple docstring"""



   def 							__lowercase		( self)      ->						List[str]:







          '''simple docstring'''

          a__						:     Tuple			=    torch.rand(12 ,  dtype=torch.floataa) - 0.5
          a__						:     Union[str, Any]			=    AgentAudio(__a)
          a__						:     str			=    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
          a__			,							a__						:     List[Any]			=    sf.read(__a)
          self.assertTrue(torch.allclose(__a ,  torch.tensor(__a) ,  atol=1e-4))

   def 							__lowercase		( self)      ->						Tuple:







          '''simple docstring'''

          a__						:     Tuple			=    torch.rand(12 ,  dtype=torch.floataa) - 0.5
          a__						:     Optional[int]			=    get_new_path(suffix='.wav')
          sf.write(__a ,  __a ,  1_6000)

          a__						:     Optional[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 			A__   (							unittest.TestCase     ):




   """simple docstring"""



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







          '''simple docstring'''

          a__						:     Any			=    torch.randint(0 ,  256 ,  (64, 64, 3))
          a__						:     Union[str, Any]			=    AgentImage(__a)
          a__						:     str			=    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 							__lowercase		( self)      ->						Optional[int]:







          '''simple docstring'''

          a__						:     List[str]			=    Path(get_tests_dir('fixtures/tests_samples/COCO')) / '000000039769.png'
          a__						:     Any			=    Image.open(__a)
          a__						:     Optional[Any]			=    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 							__lowercase		( self)      ->						str:







          '''simple docstring'''

          a__						:     Union[str, Any]			=    Path(get_tests_dir('fixtures/tests_samples/COCO')) / '000000039769.png'
          a__						:     int			=    Image.open(__a)
          a__						:     Optional[int]			=    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 			A__   (							unittest.TestCase     ):




   """simple docstring"""



   def 							__lowercase		( self)      ->						Optional[Any]:







          '''simple docstring'''

          a__						:     Any			=    'Hey!'
          a__						:     Any			=    AgentText(__a)

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









import re

from filelock import FileLock


try:
    import nltk

    lowercase				:	List[str]      						=  True
except (ImportError, ModuleNotFoundError):
    lowercase				:	Tuple      						=  False

if NLTK_AVAILABLE:
    with FileLock(""".lock""") as lock:
        nltk.download("""punkt""", quiet=True)



def A_     (		A__    )  ->		str:
       re.sub('<n>'		,				''		,				A__    )  # remove pegasus newline char
       assert NLTK_AVAILABLE, "nltk must be installed to separate newlines between sentences. (pip install nltk)"
       return "\n".join(nltk.sent_tokenize(A__    )    )


