





"""simple docstring"""




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 			_a						(				unittest.TestCase    ):






				def     snake_case     (			self		:   List[Any]							)     ->				Optional[Any]:




										'''simple docstring'''



										_UpperCamelCase      : Optional[Any]         =   0






				def     snake_case     (			self		:   List[Any]							)     ->				List[Any]:




										'''simple docstring'''



										_UpperCamelCase      : str         =   AutoImageProcessor.from_pretrained('''openai/clip-vit-base-patch32'''							)
										self.assertIsInstance(lowerCAmelCase__,			lowerCAmelCase__							)






				def     snake_case     (			self		:   int							)     ->				int:




										'''simple docstring'''



										with tempfile.TemporaryDirectory() as tmpdirname:
																_UpperCamelCase      : List[str]         =   Path(lowerCAmelCase__							) / '''preprocessor_config.json'''
																_UpperCamelCase      : str         =   Path(lowerCAmelCase__							) / '''config.json'''
																json.dump(
																    {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''},			open(lowerCAmelCase__,			'''w'''							),			)
																json.dump({'''model_type''': '''clip'''},			open(lowerCAmelCase__,			'''w'''							)							)

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






				def     snake_case     (			self		:   int							)     ->				Union[str, Any]:




										'''simple docstring'''



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

																_UpperCamelCase      : Dict         =   AutoImageProcessor.from_pretrained(lowerCAmelCase__							)
																self.assertIsInstance(lowerCAmelCase__,			lowerCAmelCase__							)






				def     snake_case     (			self		:   Optional[int]							)     ->				Optional[Any]:




										'''simple docstring'''



										with tempfile.TemporaryDirectory() as tmpdirname:
																_UpperCamelCase      : Any         =   CLIPConfig()

																# Create a dummy config file with image_proceesor_type
																_UpperCamelCase      : List[str]         =   Path(lowerCAmelCase__							) / '''preprocessor_config.json'''
																_UpperCamelCase      : Dict         =   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
																_UpperCamelCase      : List[Any]         =   AutoImageProcessor.from_pretrained(lowerCAmelCase__							).to_dict()

																config_dict.pop('''image_processor_type'''							)
																_UpperCamelCase      : Union[str, Any]         =   CLIPImageProcessor(**lowerCAmelCase__							)

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

																_UpperCamelCase      : str         =   AutoImageProcessor.from_pretrained(lowerCAmelCase__							)

																# make sure private variable is not incorrectly saved
																_UpperCamelCase      : int         =   json.loads(config.to_json_string()							)
																self.assertTrue('''_processor_class''' not in dict_as_saved							)

										self.assertIsInstance(lowerCAmelCase__,			lowerCAmelCase__							)






				def     snake_case     (			self		:   Any							)     ->				int:




										'''simple docstring'''



										with tempfile.TemporaryDirectory() as tmpdirname:
																_UpperCamelCase      : Optional[Any]         =   Path(lowerCAmelCase__							) / '''preprocessor_config.json'''
																json.dump(
																    {'''image_processor_type''': '''CLIPImageProcessor''', '''processor_class''': '''CLIPProcessor'''},			open(lowerCAmelCase__,			'''w'''							),			)

																_UpperCamelCase      : Tuple         =   AutoImageProcessor.from_pretrained(lowerCAmelCase__							)
																self.assertIsInstance(lowerCAmelCase__,			lowerCAmelCase__							)






				def     snake_case     (			self		:   int							)     ->				List[Any]:




										'''simple docstring'''



										with self.assertRaisesRegex(
										    lowerCAmelCase__,			'''clip-base is not a local folder and is not a valid model identifier'''							):
																_UpperCamelCase      : Optional[Any]         =   AutoImageProcessor.from_pretrained('''clip-base'''							)






				def     snake_case     (			self		:   List[Any]							)     ->				Union[str, Any]:




										'''simple docstring'''



										with self.assertRaisesRegex(
										    lowerCAmelCase__,			R'''aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'''							):
																_UpperCamelCase      : Any         =   AutoImageProcessor.from_pretrained(lowerCAmelCase__,			revision='''aaaaaa'''							)






				def     snake_case     (			self		:   Dict							)     ->				Optional[Any]:




										'''simple docstring'''



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






				def     snake_case     (			self		:   Optional[int]							)     ->				Optional[int]:




										'''simple docstring'''



										with self.assertRaises(lowerCAmelCase__							):
																_UpperCamelCase      : List[Any]         =   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__							):
																_UpperCamelCase      : Any         =   AutoImageProcessor.from_pretrained(
																    '''hf-internal-testing/test_dynamic_image_processor''',			trust_remote_code=lowerCAmelCase__							)

										_UpperCamelCase      : Optional[Any]         =   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__							)
																_UpperCamelCase      : str         =   AutoImageProcessor.from_pretrained(lowerCAmelCase__,			trust_remote_code=lowerCAmelCase__							)
										self.assertEqual(reloaded_image_processor.__class__.__name__,			'''NewImageProcessor'''							)






				def     snake_case     (			self		:   int							)     ->				Optional[int]:




										'''simple docstring'''



										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:
																						_UpperCamelCase      : str         =   Path(lowerCAmelCase__							) / '''preprocessor_config.json'''
																						_UpperCamelCase      : Union[str, 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'''							)							)

																						_UpperCamelCase      : 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__							)
																						_UpperCamelCase      : Union[str, Any]         =   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     snake_case     (			self		:   List[str]							)     ->				Dict:




										'''simple docstring'''



										class 			_a						(				_lowerCAmelCase    ):
														UpperCamelCase								=   True

										try:
																AutoConfig.register('''custom''',			lowerCAmelCase__							)
																AutoImageProcessor.register(lowerCAmelCase__,			lowerCAmelCase__							)
																# If remote code is not set, the default is to use local
																_UpperCamelCase      : List[Any]         =   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.
																_UpperCamelCase      : Dict         =   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
																_UpperCamelCase      : List[Any]         =   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]










"""simple docstring"""




from ..utils import is_flax_available, is_torch_available


if is_torch_available():
						from .autoencoder_kl import AutoencoderKL
						from .controlnet import ControlNetModel
						from .dual_transformer_ad import DualTransformeraDModel
						from .modeling_utils import ModelMixin
						from .prior_transformer import PriorTransformer
						from .ta_film_transformer import TaFilmDecoder
						from .transformer_ad import TransformeraDModel
						from .unet_ad import UNetaDModel
						from .unet_ad import UNetaDModel
						from .unet_ad_condition import UNetaDConditionModel
						from .unet_ad_condition import UNetaDConditionModel
						from .vq_model import VQModel

if is_flax_available():
						from .controlnet_flax import FlaxControlNetModel
						from .unet_ad_condition_flax import FlaxUNetaDConditionModel
						from .vae_flax import FlaxAutoencoderKL



