

"""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   _A  (  UpperCamelCase_					:	Any="")     ->						str:
   '''simple docstring'''


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




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







 """simple docstring"""







 def  _lowercase			(      self							:      List[Any]     ):
    __lowercase								=						torch.rand(1_2, dtype=torch.floataa     ) - 0.5
    __lowercase								=						AgentAudio(lowercase_     )
    __lowercase								=						str(agent_type.to_string()     )

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

    del agent_type

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

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



 def  _lowercase			(      self							:      int     ):
    __lowercase								=						torch.rand(1_2, dtype=torch.floataa     ) - 0.5
    __lowercase								=						get_new_path(suffix=".wav"     )
    sf.write(lowercase_, lowercase_, 1_6_0_0_0     )

    __lowercase								=						AgentAudio(lowercase_     )

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







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







 """simple docstring"""







 def  _lowercase			(      self							:      List[str]     ):
    __lowercase								=						torch.randint(0, 2_5_6, (6_4, 6_4, 3)     )
    __lowercase								=						AgentImage(lowercase_     )
    __lowercase								=						str(agent_type.to_string()     )

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


 def  _lowercase			(      self							:      Dict     ):
    __lowercase								=						Path(get_tests_dir("fixtures/tests_samples/COCO"     )     ) / """000000039769.png"""
    __lowercase								=						Image.open(lowercase_     )
    __lowercase								=						AgentImage(lowercase_     )

    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(lowercase_     )     )



 def  _lowercase			(      self							:      Optional[int]     ):
    __lowercase								=						Path(get_tests_dir("fixtures/tests_samples/COCO"     )     ) / """000000039769.png"""
    __lowercase								=						Image.open(lowercase_     )
    __lowercase								=						AgentImage(lowercase_     )

    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(lowercase_     )     )







class  _lowerCAmelCase  (     unittest.TestCase       ):







 """simple docstring"""







 def  _lowercase			(      self							:      int     ):
    __lowercase								=						"""Hey!"""
    __lowercase								=						AgentText(lowercase_     )

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







"""simple docstring"""





import re

from filelock import FileLock


try:
   import nltk

   _a							=							True
except (ImportError, ModuleNotFoundError):
   _a							=							False

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




def   _A  (  UpperCamelCase_					:	str)     ->						str:
   '''simple docstring'''


   re.sub("<n>",      "",      UpperCamelCase_)  # 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(UpperCamelCase_))




