


import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    IMAGE_PROCESSOR_MAPPING,
    AutoConfig,
    AutoImageProcessor,
    CLIPConfig,
    CLIPImageProcessor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER


sys.path.append(str(Path(__file__).parent.parent.parent.parent / 'utils'))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_image_processing import CustomImageProcessor  # noqa E402
class        _lowercase      (			unittest.TestCase       ):






				'''simple docstring'''



				def 		__magic_name__(       self			:int	)		->			Dict:
										__SCREAMING_SNAKE_CASE						:     Dict					=		0


				def 		__magic_name__(       self			:Dict	)		->			Any:
										__SCREAMING_SNAKE_CASE						:     Dict					=		AutoImageProcessor.from_pretrained('''openai/clip-vit-base-patch32'''	)
										self.assertIsInstance(lowerCAmelCase__			,			lowerCAmelCase__	)


				def 		__magic_name__(       self			:List[Any]	)		->			Optional[int]:
										with tempfile.TemporaryDirectory() as tmpdirname:
																__SCREAMING_SNAKE_CASE						:     Tuple					=		Path(lowerCAmelCase__	) / '''preprocessor_config.json'''
																__SCREAMING_SNAKE_CASE						:     List[Any]					=		Path(lowerCAmelCase__	) / '''config.json'''
																json.dump(
																    {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''}			,			open(lowerCAmelCase__			,			'''w'''	)			,			)
																json.dump({'''model_type''': '''clip'''}			,			open(lowerCAmelCase__			,			'''w'''	)	)

																__SCREAMING_SNAKE_CASE						:     int					=		AutoImageProcessor.from_pretrained(lowerCAmelCase__	)
																self.assertIsInstance(lowerCAmelCase__			,			lowerCAmelCase__	)


				def 		__magic_name__(       self			:Any	)		->			str:
										# Ensure we can load the image processor from the feature extractor config
										with tempfile.TemporaryDirectory() as tmpdirname:
																__SCREAMING_SNAKE_CASE						:     str					=		Path(lowerCAmelCase__	) / '''preprocessor_config.json'''
																__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		Path(lowerCAmelCase__	) / '''config.json'''
																json.dump(
																    {'''feature_extractor_type''': '''CLIPFeatureExtractor''', '''processor_class''': '''CLIPProcessor'''}			,			open(lowerCAmelCase__			,			'''w'''	)			,			)
																json.dump({'''model_type''': '''clip'''}			,			open(lowerCAmelCase__			,			'''w'''	)	)

																__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		AutoImageProcessor.from_pretrained(lowerCAmelCase__	)
																self.assertIsInstance(lowerCAmelCase__			,			lowerCAmelCase__	)


				def 		__magic_name__(       self			:int	)		->			Union[str, Any]:
										with tempfile.TemporaryDirectory() as tmpdirname:
																__SCREAMING_SNAKE_CASE						:     List[str]					=		CLIPConfig()

																# Create a dummy config file with image_proceesor_type
																__SCREAMING_SNAKE_CASE						:     Tuple					=		Path(lowerCAmelCase__	) / '''preprocessor_config.json'''
																__SCREAMING_SNAKE_CASE						:     List[Any]					=		Path(lowerCAmelCase__	) / '''config.json'''
																json.dump(
																    {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''}			,			open(lowerCAmelCase__			,			'''w'''	)			,			)
																json.dump({'''model_type''': '''clip'''}			,			open(lowerCAmelCase__			,			'''w'''	)	)

																# remove image_processor_type to make sure config.json alone is enough to load image processor locally
																__SCREAMING_SNAKE_CASE						:     Any					=		AutoImageProcessor.from_pretrained(lowerCAmelCase__	).to_dict()

																config_dict.pop('''image_processor_type'''	)
																__SCREAMING_SNAKE_CASE						:     Dict					=		CLIPImageProcessor(**lowerCAmelCase__	)

																# save in new folder
																model_config.save_pretrained(lowerCAmelCase__	)
																config.save_pretrained(lowerCAmelCase__	)

																__SCREAMING_SNAKE_CASE						:     Dict					=		AutoImageProcessor.from_pretrained(lowerCAmelCase__	)

																# make sure private variable is not incorrectly saved
																__SCREAMING_SNAKE_CASE						:     List[str]					=		json.loads(config.to_json_string()	)
																self.assertTrue('''_processor_class''' not in dict_as_saved	)

										self.assertIsInstance(lowerCAmelCase__			,			lowerCAmelCase__	)


				def 		__magic_name__(       self			:str	)		->			Optional[Any]:
										with tempfile.TemporaryDirectory() as tmpdirname:
																__SCREAMING_SNAKE_CASE						:     Tuple					=		Path(lowerCAmelCase__	) / '''preprocessor_config.json'''
																json.dump(
																    {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''}			,			open(lowerCAmelCase__			,			'''w'''	)			,			)

																__SCREAMING_SNAKE_CASE						:     Optional[int]					=		AutoImageProcessor.from_pretrained(lowerCAmelCase__	)
																self.assertIsInstance(lowerCAmelCase__			,			lowerCAmelCase__	)


				def 		__magic_name__(       self			:int	)		->			Union[str, Any]:
										with self.assertRaisesRegex(
										    lowerCAmelCase__			,			'''clip-base is not a local folder and is not a valid model identifier'''	):
																__SCREAMING_SNAKE_CASE						:     Dict					=		AutoImageProcessor.from_pretrained('''clip-base'''	)


				def 		__magic_name__(       self			:Dict	)		->			Dict:
										with self.assertRaisesRegex(
										    lowerCAmelCase__			,			r'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''	):
																__SCREAMING_SNAKE_CASE						:     Tuple					=		AutoImageProcessor.from_pretrained(lowerCAmelCase__			,			revision='''aaaaaa'''	)


				def 		__magic_name__(       self			:Tuple	)		->			List[str]:
										with self.assertRaisesRegex(
										    lowerCAmelCase__			,			'''hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json.'''			,			):
																__SCREAMING_SNAKE_CASE						:     Union[str, Any]					=		AutoImageProcessor.from_pretrained('''hf-internal-testing/config-no-model'''	)


				def 		__magic_name__(       self			:Optional[Any]	)		->			str:
										# If remote code is not set, we will time out when asking whether to load the model.
										with self.assertRaises(lowerCAmelCase__	):
																__SCREAMING_SNAKE_CASE						:     Optional[int]					=		AutoImageProcessor.from_pretrained('''hf-internal-testing/test_dynamic_image_processor'''	)
										# If remote code is disabled, we can't load this config.
										with self.assertRaises(lowerCAmelCase__	):
																__SCREAMING_SNAKE_CASE						:     Optional[Any]					=		AutoImageProcessor.from_pretrained(
																    '''hf-internal-testing/test_dynamic_image_processor'''			,			trust_remote_code=lowerCAmelCase__	)

										__SCREAMING_SNAKE_CASE						:     int					=		AutoImageProcessor.from_pretrained(
										    '''hf-internal-testing/test_dynamic_image_processor'''			,			trust_remote_code=lowerCAmelCase__	)
										self.assertEqual(image_processor.__class__.__name__			,			'''NewImageProcessor'''	)

										# Test image processor can be reloaded.
										with tempfile.TemporaryDirectory() as tmp_dir:
																image_processor.save_pretrained(lowerCAmelCase__	)
																__SCREAMING_SNAKE_CASE						:     List[str]					=		AutoImageProcessor.from_pretrained(lowerCAmelCase__			,			trust_remote_code=lowerCAmelCase__	)
										self.assertEqual(reloaded_image_processor.__class__.__name__			,			'''NewImageProcessor'''	)


				def 		__magic_name__(       self			:Dict	)		->			Tuple:
										try:
																AutoConfig.register('''custom'''			,			lowerCAmelCase__	)
																AutoImageProcessor.register(lowerCAmelCase__			,			lowerCAmelCase__	)
																# Trying to register something existing in the Transformers library will raise an error
																with self.assertRaises(lowerCAmelCase__	):
																						AutoImageProcessor.register(lowerCAmelCase__			,			lowerCAmelCase__	)

																with tempfile.TemporaryDirectory() as tmpdirname:
																						__SCREAMING_SNAKE_CASE						:     Dict					=		Path(lowerCAmelCase__	) / '''preprocessor_config.json'''
																						__SCREAMING_SNAKE_CASE						:     List[Any]					=		Path(lowerCAmelCase__	) / '''config.json'''
																						json.dump(
																						    {'''feature_extractor_type''': '''CLIPFeatureExtractor''', '''processor_class''': '''CLIPProcessor'''}			,			open(lowerCAmelCase__			,			'''w'''	)			,			)
																						json.dump({'''model_type''': '''clip'''}			,			open(lowerCAmelCase__			,			'''w'''	)	)

																						__SCREAMING_SNAKE_CASE						:     List[str]					=		CustomImageProcessor.from_pretrained(lowerCAmelCase__	)

																# Now that the config is registered, it can be used as any other config with the auto-API
																with tempfile.TemporaryDirectory() as tmp_dir:
																						image_processor.save_pretrained(lowerCAmelCase__	)
																						__SCREAMING_SNAKE_CASE						:     str					=		AutoImageProcessor.from_pretrained(lowerCAmelCase__	)
																						self.assertIsInstance(lowerCAmelCase__			,			lowerCAmelCase__	)

										finally:
																if "custom" in CONFIG_MAPPING._extra_content:
																						del CONFIG_MAPPING._extra_content["custom"]
																if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
																						del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]



				def 		__magic_name__(       self			:List[Any]	)		->			int:
										class        _lowercase      (			A__       ):






														'''simple docstring'''



														SCREAMING_SNAKE_CASE__				:			Optional[Any]						=		True

										try:
																AutoConfig.register('''custom'''			,			lowerCAmelCase__	)
																AutoImageProcessor.register(lowerCAmelCase__			,			lowerCAmelCase__	)
																# If remote code is not set, the default is to use local
																__SCREAMING_SNAKE_CASE						:     str					=		AutoImageProcessor.from_pretrained('''hf-internal-testing/test_dynamic_image_processor'''	)
																self.assertEqual(image_processor.__class__.__name__			,			'''NewImageProcessor'''	)
																self.assertTrue(image_processor.is_local	)

																# If remote code is disabled, we load the local one.
																__SCREAMING_SNAKE_CASE						:     List[str]					=		AutoImageProcessor.from_pretrained(
																    '''hf-internal-testing/test_dynamic_image_processor'''			,			trust_remote_code=lowerCAmelCase__	)
																self.assertEqual(image_processor.__class__.__name__			,			'''NewImageProcessor'''	)
																self.assertTrue(image_processor.is_local	)

																# If remote is enabled, we load from the Hub
																__SCREAMING_SNAKE_CASE						:     Optional[int]					=		AutoImageProcessor.from_pretrained(
																    '''hf-internal-testing/test_dynamic_image_processor'''			,			trust_remote_code=lowerCAmelCase__	)
																self.assertEqual(image_processor.__class__.__name__			,			'''NewImageProcessor'''	)
																self.assertTrue(not hasattr(lowerCAmelCase__			,			'''is_local'''	)	)

										finally:
																if "custom" in CONFIG_MAPPING._extra_content:
																						del CONFIG_MAPPING._extra_content["custom"]
																if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
																						del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase	: Any  				={'configuration_vit_msn': ['VIT_MSN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'ViTMSNConfig']}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__lowerCAmelCase	: int  				=[
						    '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	: Union[str, Any]  				=_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
