


"""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        lowerCamelCase_(		_lowerCamelCase=""       )    ->     str:
   '''simple docstring'''





   _lowerCamelCase   :				Optional[int]							=     tempfile.mkdtemp()
   return os.path.join(_lowerCAmelCase			,		str(uuid.uuida()       ) + suffix       )




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


  def 							_lowercase					(			self:						Optional[Any]    ):







     '''simple docstring'''







     _lowerCamelCase   :				int							=     torch.rand(12							,dtype=torch.floataa    ) - 0.5
     _lowerCamelCase   :				str							=     AgentAudio(A_    )
     _lowerCamelCase   :				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(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
     _lowerCamelCase   :				List[str]							=     sf.read(A_    )
     self.assertTrue(torch.allclose(A_							,torch.tensor(A_    )							,atol=1e-4    )    )






  def 							_lowercase					(			self:						Optional[Any]    ):







     '''simple docstring'''







     _lowerCamelCase   :				int							=     torch.rand(12							,dtype=torch.floataa    ) - 0.5
     _lowerCamelCase   :				Tuple							=     get_new_path(suffix=".wav"    )
     sf.write(A_							,A_							,16_000    )

     _lowerCamelCase   :				List[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 							A_      (       unittest.TestCase ):


  def 							_lowercase					(			self:						Any    ):







     '''simple docstring'''







     _lowerCamelCase   :				str							=     torch.randint(0							,256							,(64, 64, 3)    )
     _lowerCamelCase   :				Union[str, Any]							=     AgentImage(A_    )
     _lowerCamelCase   :				Optional[int]							=     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 							_lowercase					(			self:						int    ):







     '''simple docstring'''







     _lowerCamelCase   :				Union[str, Any]							=     Path(get_tests_dir("fixtures/tests_samples/COCO"    )    ) / "000000039769.png"
     _lowerCamelCase   :				Union[str, Any]							=     Image.open(A_    )
     _lowerCamelCase   :				List[str]							=     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 							_lowercase					(			self:						Optional[Any]    ):







     '''simple docstring'''







     _lowerCamelCase   :				Optional[Any]							=     Path(get_tests_dir("fixtures/tests_samples/COCO"    )    ) / "000000039769.png"
     _lowerCamelCase   :				List[Any]							=     Image.open(A_    )
     _lowerCamelCase   :				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 							A_      (       unittest.TestCase ):


  def 							_lowercase					(			self:						List[str]    ):







     '''simple docstring'''







     _lowerCamelCase   :				Union[str, Any]							=     "Hey!"
     _lowerCamelCase   :				Tuple							=     AgentText(A_    )

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






import warnings

from ...utils import logging
from .image_processing_beit import BeitImageProcessor


__lowerCamelCase			:	Optional[Any]					    =	logging.get_logger(__name__)



class    A__  (			__snake_case     ):





      def __init__(					self			,				*A_			,				**A_  ):
       '''simple docstring'''




       warnings.warn(
           "The class BeitFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
           " use BeitImageProcessor instead."			,				A_			,				)
       super().__init__(*A_			,				**A_  )
