


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_						:		Dict=""						):




      """simple docstring"""





      a						:Optional[Any] 							=       tempfile.mkdtemp()
      return os.path.join(UpperCamelCase__ ,  str(uuid.uuida()						) + suffix						)







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




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:Tuple 							=       torch.rand(12					,  dtype=torch.floataa    ) - 0.5
       a						:int 							=       AgentAudio(_lowerCamelCase    )
       a						:List[str] 							=       str(agent_type.to_string()    )

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

       del agent_type

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

       # Ensure that the file contains the same value as the original tensor
       a						:List[str] 							=       sf.read(_lowerCamelCase    )
       self.assertTrue(torch.allclose(_lowerCamelCase					,  torch.tensor(_lowerCamelCase    )					,  atol=1e-4    )    )




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:Dict 							=       torch.rand(12					,  dtype=torch.floataa    ) - 0.5
       a						:Optional[int] 							=       get_new_path(suffix='''.wav'''    )
       sf.write(_lowerCamelCase					,  _lowerCamelCase					,  1_6000    )

       a						:List[Any] 							=       AgentAudio(_lowerCamelCase    )

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







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




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

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




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:Union[str, Any] 							=       Path(get_tests_dir('''fixtures/tests_samples/COCO'''    )    ) / '''000000039769.png'''
       a						:Dict 							=       Image.open(_lowerCamelCase    )
       a						:Optional[int] 							=       AgentImage(_lowerCamelCase    )

       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(_lowerCamelCase    )    )




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:Any 							=       Path(get_tests_dir('''fixtures/tests_samples/COCO'''    )    ) / '''000000039769.png'''
       a						:List[str] 							=       Image.open(_lowerCamelCase    )
       a						:Union[str, Any] 							=       AgentImage(_lowerCamelCase    )

       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(_lowerCamelCase    )    )







class 		_snake_case  (      unittest.TestCase							):




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:List[Any] 							=       '''Hey!'''
       a						:Any 							=       AgentText(_lowerCamelCase    )

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










"""simple docstring"""
from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_lowerCAmelCase    :int     =					{'configuration_vit_msn': ['VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTMSNConfig']}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  _lowerCAmelCase    :Any     =					[
      '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

  _lowerCAmelCase    :int     =					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


