




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       (						lowerCAmelCase_					: Any=""      ) ->    Union[str, Any]:
     """simple docstring"""

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





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




    """simple docstring"""

    def        a				(	self					:					Dict       )				->	List[Any]:
         lowerCAmelCase__          =			torch.rand(12       ,     dtype=torch.floataa       ) - 0.5
         lowerCAmelCase__          =			AgentAudio(SCREAMING_SNAKE_CASE__       )
         lowerCAmelCase__          =			str(agent_type.to_string()       )

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

         del agent_type

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

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


    def        a				(	self					:					Optional[Any]       )				->	List[Any]:
         lowerCAmelCase__          =			torch.rand(12       ,     dtype=torch.floataa       ) - 0.5
         lowerCAmelCase__          =			get_new_path(suffix=".wav"       )
         sf.write(SCREAMING_SNAKE_CASE__       ,     SCREAMING_SNAKE_CASE__       ,     16_000       )

         lowerCAmelCase__          =			AgentAudio(SCREAMING_SNAKE_CASE__       )

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






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




    """simple docstring"""

    def        a				(	self					:					List[Any]       )				->	Optional[Any]:
         lowerCAmelCase__          =			torch.randint(0       ,     256       ,     (64, 64, 3)       )
         lowerCAmelCase__          =			AgentImage(SCREAMING_SNAKE_CASE__       )
         lowerCAmelCase__          =			str(agent_type.to_string()       )

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


    def        a				(	self					:					int       )				->	int:
         lowerCAmelCase__          =			Path(get_tests_dir("fixtures/tests_samples/COCO"       )       ) / "000000039769.png"
         lowerCAmelCase__          =			Image.open(SCREAMING_SNAKE_CASE__       )
         lowerCAmelCase__          =			AgentImage(SCREAMING_SNAKE_CASE__       )

         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(SCREAMING_SNAKE_CASE__       )       )


    def        a				(	self					:					Tuple       )				->	Dict:
         lowerCAmelCase__          =			Path(get_tests_dir("fixtures/tests_samples/COCO"       )       ) / "000000039769.png"
         lowerCAmelCase__          =			Image.open(SCREAMING_SNAKE_CASE__       )
         lowerCAmelCase__          =			AgentImage(SCREAMING_SNAKE_CASE__       )

         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(SCREAMING_SNAKE_CASE__       )       )






class 			__lowerCamelCase	(   unittest.TestCase   ):




    """simple docstring"""

    def        a				(	self					:					str       )				->	Optional[Any]:
         lowerCAmelCase__          =			"Hey!"
         lowerCAmelCase__          =			AgentText(SCREAMING_SNAKE_CASE__       )

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






def 							_A       (						lowerCAmelCase_					: int = 1000      ):
     """simple docstring"""

     return sum(2 * a * ((a - 1) // 2) for a in range(3       ,    n + 1      )      )


if __name__ == "__main__":
     print(solution())
