

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        __lowerCAmelCase    (       _UpperCamelCase		:  int=""	)		->							List[Any]:
 '''simple docstring'''


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




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

    def UpperCamelCase			(			self :      Optional[int]    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			torch.rand(1_2							,    dtype=torch.floataa    ) - 0.5
     SCREAMING_SNAKE_CASE								=			AgentAudio(UpperCamelCase__    )
     SCREAMING_SNAKE_CASE								=			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
     SCREAMING_SNAKE_CASE								=			sf.read(UpperCamelCase__    )
     self.assertTrue(torch.allclose(UpperCamelCase__							,    torch.tensor(UpperCamelCase__    )							,    atol=1E-4    )    )




    def UpperCamelCase			(			self :      Optional[Any]    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			torch.rand(1_2							,    dtype=torch.floataa    ) - 0.5
     SCREAMING_SNAKE_CASE								=			get_new_path(suffix='.wav'    )
     sf.write(UpperCamelCase__							,    UpperCamelCase__							,    1_6_0_0_0    )

     SCREAMING_SNAKE_CASE								=			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      UpperCamelCase (     unittest.TestCase   ):

    def UpperCamelCase			(			self :      Tuple    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			torch.randint(0							,    2_5_6							,    (6_4, 6_4, 3)    )
     SCREAMING_SNAKE_CASE								=			AgentImage(UpperCamelCase__    )
     SCREAMING_SNAKE_CASE								=			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 UpperCamelCase			(			self :      int    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'
     SCREAMING_SNAKE_CASE								=			Image.open(UpperCamelCase__    )
     SCREAMING_SNAKE_CASE								=			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 UpperCamelCase			(			self :      int    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'
     SCREAMING_SNAKE_CASE								=			Image.open(UpperCamelCase__    )
     SCREAMING_SNAKE_CASE								=			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      UpperCamelCase (     unittest.TestCase   ):

    def UpperCamelCase			(			self :      Tuple    ):

     """simple docstring"""






     SCREAMING_SNAKE_CASE								=			'Hey!'
     SCREAMING_SNAKE_CASE								=			AgentText(UpperCamelCase__    )

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




import numpy as np


def        __lowerCAmelCase    (       _UpperCamelCase		:  np.ndarray	)		->							np.ndarray:
 '''simple docstring'''


 return 1 / (1 + np.exp(-vector	))


def        __lowerCAmelCase    (       _UpperCamelCase		:  np.ndarray	)		->							np.ndarray:
 '''simple docstring'''


 return vector * sigmoid(_UpperCamelCase	)


if __name__ == "__main__":
      import doctest

      doctest.testmod()

