



'''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 	_A							( _lowerCAmelCase=""       ):



							"""simple docstring"""



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





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





				'''simple docstring'''





				def 					__lowerCamelCase  (				self	:	int):







											'''simple docstring'''

											__lowercase													=torch.rand(1_2	,							dtype=torch.floataa) - 0.5
											__lowercase													=AgentAudio(_UpperCamelCase)
											__lowercase													=str(agent_type.to_string())

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

											del agent_type

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

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

				def 					__lowerCamelCase  (				self	:	Optional[int]):







											'''simple docstring'''

											__lowercase													=torch.rand(1_2	,							dtype=torch.floataa) - 0.5
											__lowercase													=get_new_path(suffix='.wav')
											sf.write(_UpperCamelCase	,							_UpperCamelCase	,							1_6_0_0_0)

											__lowercase													=AgentAudio(_UpperCamelCase)

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





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





				'''simple docstring'''





				def 					__lowerCamelCase  (				self	:	Tuple):







											'''simple docstring'''

											__lowercase													=torch.randint(0	,							2_5_6	,							(6_4, 6_4, 3))
											__lowercase													=AgentImage(_UpperCamelCase)
											__lowercase													=str(agent_type.to_string())

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

				def 					__lowerCamelCase  (				self	:	Union[str, Any]):







											'''simple docstring'''

											__lowercase													=Path(get_tests_dir('fixtures/tests_samples/COCO')) / '000000039769.png'
											__lowercase													=Image.open(_UpperCamelCase)
											__lowercase													=AgentImage(_UpperCamelCase)

											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(_UpperCamelCase))

				def 					__lowerCamelCase  (				self	:	List[Any]):







											'''simple docstring'''

											__lowercase													=Path(get_tests_dir('fixtures/tests_samples/COCO')) / '000000039769.png'
											__lowercase													=Image.open(_UpperCamelCase)
											__lowercase													=AgentImage(_UpperCamelCase)

											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(_UpperCamelCase))





class _UpperCamelCase		(  unittest.TestCase		):





				'''simple docstring'''





				def 					__lowerCamelCase  (				self	:	List[str]):







											'''simple docstring'''

											__lowercase													='Hey!'
											__lowercase													=AgentText(_UpperCamelCase)

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





from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


_A  =	logging.get_logger(__name__)

_A  =	{
    "kssteven/ibert-roberta-base": "https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json",
    "kssteven/ibert-roberta-large": "https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json",
    "kssteven/ibert-roberta-large-mnli": (
        "https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json"
    ),
}





class       _lowerCAmelCase   (      __a			):
				_lowercase     						='''ibert'''




				def __init__(   self							,							_UpperCamelCase=30_522							,							_UpperCamelCase=768							,							_UpperCamelCase=12							,							_UpperCamelCase=12							,							_UpperCamelCase=3_072							,							_UpperCamelCase="gelu"							,							_UpperCamelCase=0.1							,							_UpperCamelCase=0.1							,							_UpperCamelCase=512							,							_UpperCamelCase=2							,							_UpperCamelCase=0.02							,							_UpperCamelCase=1e-1_2							,							_UpperCamelCase=1							,							_UpperCamelCase=0							,							_UpperCamelCase=2							,							_UpperCamelCase="absolute"							,							_UpperCamelCase=False							,							_UpperCamelCase="none"							,							**_UpperCamelCase							,							)							-> List[str]:
							super().__init__(pad_token_id=_UpperCamelCase							,							bos_token_id=_UpperCamelCase							,							eos_token_id=_UpperCamelCase							,							**_UpperCamelCase	)

							lowerCAmelCase_         =      vocab_size
							lowerCAmelCase_         =      hidden_size
							lowerCAmelCase_         =      num_hidden_layers
							lowerCAmelCase_         =      num_attention_heads
							lowerCAmelCase_         =      hidden_act
							lowerCAmelCase_         =      intermediate_size
							lowerCAmelCase_         =      hidden_dropout_prob
							lowerCAmelCase_         =      attention_probs_dropout_prob
							lowerCAmelCase_         =      max_position_embeddings
							lowerCAmelCase_         =      type_vocab_size
							lowerCAmelCase_         =      initializer_range
							lowerCAmelCase_         =      layer_norm_eps
							lowerCAmelCase_         =      position_embedding_type
							lowerCAmelCase_         =      quant_mode
							lowerCAmelCase_         =      force_dequant





class       _lowerCAmelCase   (      __a			):




				@property
				def 	__a		(   self	)							-> Mapping[str, Mapping[int, str]]:
							if self.task == "multiple-choice":
										lowerCAmelCase_         =      {0: "batch", 1: "choice", 2: "sequence"}
							else:
										lowerCAmelCase_         =      {0: "batch", 1: "sequence"}
							return OrderedDict(
							    [
							        ("input_ids", dynamic_axis),
							        ("attention_mask", dynamic_axis),
							    ]	)



