


'''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 			__UpperCamelCase    (    _A    :				List[Any]=""				)    ->      str:




	"""simple docstring"""





	lowerCAmelCase					:    Tuple      							= tempfile.mkdtemp()
	return os.path.join(_A					,   str(uuid.uuida()				) + suffix				)



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



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Union[str, Any]      							= torch.rand(12 ,					dtype=torch.floataa    ) - 0.5
		lowerCAmelCase					:    Tuple      							= AgentAudio(snake_case__    )
		lowerCAmelCase					:    List[Any]      							= str(agent_type.to_string()    )

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

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



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Tuple      							= torch.rand(12 ,					dtype=torch.floataa    ) - 0.5
		lowerCAmelCase					:    str      							= get_new_path(suffix='.wav'    )
		sf.write(snake_case__ ,					snake_case__ ,					1_6000    )

		lowerCAmelCase					:    List[str]      							= AgentAudio(snake_case__    )

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



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



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    str      							= torch.randint(0 ,					256 ,					(64, 64, 3)    )
		lowerCAmelCase					:    List[Any]      							= AgentImage(snake_case__    )
		lowerCAmelCase					:    int      							= str(agent_type.to_string()    )

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



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    List[str]      							= Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'
		lowerCAmelCase					:    int      							= Image.open(snake_case__    )
		lowerCAmelCase					:    Optional[int]      							= AgentImage(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(snake_case__    )    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Any      							= Path(get_tests_dir('fixtures/tests_samples/COCO'    )    ) / '000000039769.png'
		lowerCAmelCase					:    Optional[Any]      							= Image.open(snake_case__    )
		lowerCAmelCase					:    str      							= AgentImage(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(snake_case__    )    )



class  lowerCAmelCase				(				unittest.TestCase							):



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    Optional[int]      							= 'Hey!'
		lowerCAmelCase					:    int      							= AgentText(snake_case__    )

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




'''simple docstring'''




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


_lowerCAmelCase  :		int		     =	{
    'configuration_nezha': ['NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'NezhaConfig'],
}

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				_lowerCAmelCase  :		Tuple		     =	[
				    'NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST',
				    'NezhaForNextSentencePrediction',
				    'NezhaForMaskedLM',
				    'NezhaForPreTraining',
				    'NezhaForMultipleChoice',
				    'NezhaForQuestionAnswering',
				    'NezhaForSequenceClassification',
				    'NezhaForTokenClassification',
				    'NezhaModel',
				    'NezhaPreTrainedModel',
				]


if TYPE_CHECKING:
				from .configuration_nezha import NEZHA_PRETRAINED_CONFIG_ARCHIVE_MAP, NezhaConfig

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_nezha import (
								    NEZHA_PRETRAINED_MODEL_ARCHIVE_LIST,
								    NezhaForMaskedLM,
								    NezhaForMultipleChoice,
								    NezhaForNextSentencePrediction,
								    NezhaForPreTraining,
								    NezhaForQuestionAnswering,
								    NezhaForSequenceClassification,
								    NezhaForTokenClassification,
								    NezhaModel,
								    NezhaPreTrainedModel,
								)


else:
				import sys

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