"""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    (		UpperCamelCase__="" ):






							"""simple docstring"""





							A__		   =							tempfile.mkdtemp()
							return os.path.join(UpperCamelCase__				,			str(uuid.uuida() ) + suffix )
@require_soundfile
@require_torch
class 			UpperCamelCase__(	unittest.TestCase       ):





						def  snake_case__		(				self   )    -> List[str]:
													A__		   =							torch.rand(12						,dtype=torch.floataa   ) - 0.5
													A__		   =							AgentAudio(__UpperCAmelCase   )
													A__		   =							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
													A__   ,     A__		   =							sf.read(__UpperCAmelCase   )
													self.assertTrue(torch.allclose(__UpperCAmelCase						,torch.tensor(__UpperCAmelCase   )						,atol=1e-4   )   )





						def  snake_case__		(				self   )    -> List[Any]:
													A__		   =							torch.rand(12						,dtype=torch.floataa   ) - 0.5
													A__		   =							get_new_path(suffix='.wav'   )
													sf.write(__UpperCAmelCase						,__UpperCAmelCase						,1_60_00   )

													A__		   =							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       ):





						def  snake_case__		(				self   )    -> int:
													A__		   =							torch.randint(0						,2_56						,(64, 64, 3)   )
													A__		   =							AgentImage(__UpperCAmelCase   )
													A__		   =							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  snake_case__		(				self   )    -> List[str]:
													A__		   =							Path(get_tests_dir('fixtures/tests_samples/COCO'   )   ) / '000000039769.png'
													A__		   =							Image.open(__UpperCAmelCase   )
													A__		   =							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  snake_case__		(				self   )    -> int:
													A__		   =							Path(get_tests_dir('fixtures/tests_samples/COCO'   )   ) / '000000039769.png'
													A__		   =							Image.open(__UpperCAmelCase   )
													A__		   =							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       ):





						def  snake_case__		(				self   )    -> Dict:
													A__		   =							'Hey!'
													A__		   =							AgentText(__UpperCAmelCase   )

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






"""simple docstring"""




from typing import TYPE_CHECKING

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


__lowerCamelCase							 =     {
    "configuration_chinese_clip": [
        "CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "ChineseCLIPConfig",
        "ChineseCLIPOnnxConfig",
        "ChineseCLIPTextConfig",
        "ChineseCLIPVisionConfig",
    ],
    "processing_chinese_clip": ["ChineseCLIPProcessor"],
}

try:
				if not is_vision_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase							 =     ["ChineseCLIPFeatureExtractor"]
				__lowerCamelCase							 =     ["ChineseCLIPImageProcessor"]

try:
				if not is_torch_available():
								raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
				pass
else:
				__lowerCamelCase							 =     [
				    "CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST",
				    "ChineseCLIPModel",
				    "ChineseCLIPPreTrainedModel",
				    "ChineseCLIPTextModel",
				    "ChineseCLIPVisionModel",
				]

if TYPE_CHECKING:
				from .configuration_chinese_clip import (
				    CHINESE_CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
				    ChineseCLIPConfig,
				    ChineseCLIPOnnxConfig,
				    ChineseCLIPTextConfig,
				    ChineseCLIPVisionConfig,
				)
				from .processing_chinese_clip import ChineseCLIPProcessor

				try:
								if not is_vision_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .feature_extraction_chinese_clip import ChineseCLIPFeatureExtractor, ChineseCLIPImageProcessor

				try:
								if not is_torch_available():
												raise OptionalDependencyNotAvailable()
				except OptionalDependencyNotAvailable:
								pass
				else:
								from .modeling_chinese_clip import (
								    CHINESE_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
								    ChineseCLIPModel,
								    ChineseCLIPPreTrainedModel,
								    ChineseCLIPTextModel,
								    ChineseCLIPVisionModel,
								)

else:
				import sys

				__lowerCamelCase							 =     _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





