


'''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					(      UpperCAmelCase_						:						str=""		):
 lowerCamelCase_      =  tempfile.mkdtemp()
 return os.path.join(UpperCAmelCase_					,				str(uuid.uuida()		) + suffix		)





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





  """simple docstring"""




  def   snake_case		(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  torch.rand(12			,  dtype=torch.floataa     ) - 0.5
   lowerCamelCase_      =  AgentAudio(UpperCamelCase     )
   lowerCamelCase_      =  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_      =  sf.read(UpperCamelCase     )
   self.assertTrue(torch.allclose(UpperCamelCase			,  torch.tensor(UpperCamelCase     )			,  atol=1e-4     )     )







  def   snake_case		(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  torch.rand(12			,  dtype=torch.floataa     ) - 0.5
   lowerCamelCase_      =  get_new_path(suffix=".wav"     )
   sf.write(UpperCamelCase			,  UpperCamelCase			,  1_6000     )

   lowerCamelCase_      =  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			):





  """simple docstring"""




  def   snake_case		(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  torch.randint(0			,  256			,  (64, 64, 3)     )
   lowerCamelCase_      =  AgentImage(UpperCamelCase     )
   lowerCamelCase_      =  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   snake_case		(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  Path(get_tests_dir("fixtures/tests_samples/COCO"     )     ) / "000000039769.png"
   lowerCamelCase_      =  Image.open(UpperCamelCase     )
   lowerCamelCase_      =  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   snake_case		(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  Path(get_tests_dir("fixtures/tests_samples/COCO"     )     ) / "000000039769.png"
   lowerCamelCase_      =  Image.open(UpperCamelCase     )
   lowerCamelCase_      =  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			):





  """simple docstring"""




  def   snake_case		(    self     ):







   """simple docstring"""
   lowerCamelCase_      =  "Hey!"
   lowerCamelCase_      =  AgentText(UpperCamelCase     )

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







'''simple docstring'''

a_  :				str						= """
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

a_  :				Any						= [{"""type""": """code""", """content""": INSTALL_CONTENT}]
a_  :				int						= {
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}



