


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 	SCREAMING_SNAKE_CASE_						(      __A			:      Optional[int]=""    )     ->		str:

       """simple docstring"""

       a_ :		str							=  tempfile.mkdtemp()
       return os.path.join(__lowerCAmelCase  ,   str(uuid.uuida()    ) + suffix    )
@require_soundfile
@require_torch
class 			SCREAMING_SNAKE_CASE__  (    unittest.TestCase      ):
      def 	SCREAMING_SNAKE_CASE							(	self    :	Optional[int]					)		->      Tuple:
             a_ :		List[str]							=  torch.rand(1_2					,							dtype=torch.floataa					) - 0.5
             a_ :		List[str]							=  AgentAudio(_a					)
             a_ :		List[Any]							=  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_ :		Optional[int]							=  sf.read(_a					)
             self.assertTrue(torch.allclose(_a					,							torch.tensor(_a					)					,							atol=1E-4					)					)

      def 	SCREAMING_SNAKE_CASE							(	self    :	List[Any]					)		->      List[Any]:
             a_ :		int							=  torch.rand(1_2					,							dtype=torch.floataa					) - 0.5
             a_ :		Any							=  get_new_path(suffix='.wav'					)
             sf.write(_a					,							_a					,							1_6_0_0_0					)

             a_ :		Union[str, Any]							=  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 			SCREAMING_SNAKE_CASE__  (    unittest.TestCase      ):
      def 	SCREAMING_SNAKE_CASE							(	self    :	Tuple					)		->      str:
             a_ :		Tuple							=  torch.randint(0					,							2_5_6					,							(6_4, 6_4, 3)					)
             a_ :		int							=  AgentImage(_a					)
             a_ :		List[Any]							=  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 	SCREAMING_SNAKE_CASE							(	self    :	List[Any]					)		->      Optional[int]:
             a_ :		str							=  Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / """000000039769.png"""
             a_ :		Optional[Any]							=  Image.open(_a					)
             a_ :		int							=  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 	SCREAMING_SNAKE_CASE							(	self    :	List[str]					)		->      Union[str, Any]:
             a_ :		Union[str, Any]							=  Path(get_tests_dir('fixtures/tests_samples/COCO'					)					) / """000000039769.png"""
             a_ :		List[str]							=  Image.open(_a					)
             a_ :		Any							=  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 			SCREAMING_SNAKE_CASE__  (    unittest.TestCase      ):
      def 	SCREAMING_SNAKE_CASE							(	self    :	Union[str, Any]					)		->      Dict:
             a_ :		List[Any]							=  """Hey!"""
             a_ :		List[str]							=  AgentText(_a					)

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






from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


UpperCAmelCase_				:			Dict   =	{'configuration_vit_msn': ['VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTMSNConfig']}

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   UpperCAmelCase_				:			int   =	[
       'VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST',
       'ViTMSNModel',
       'ViTMSNForImageClassification',
       'ViTMSNPreTrainedModel',
   ]

if TYPE_CHECKING:
   from .configuration_vit_msn import VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTMSNConfig

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_vit_msn import (
          VIT_MSN_PRETRAINED_MODEL_ARCHIVE_LIST,
          ViTMSNForImageClassification,
          ViTMSNModel,
          ViTMSNPreTrainedModel,
      )

else:
   import sys

   UpperCAmelCase_				:			Dict   =	_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


