

'''simple docstring'''

import sys
import tempfile
import unittest
import unittest.mock as mock
from pathlib import Path

from huggingface_hub import HfFolder, delete_repo
from requests.exceptions import HTTPError

from transformers import AutoImageProcessor, ViTImageProcessor
from transformers.testing_utils import TOKEN, USER, get_tests_dir, is_staging_test


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

from test_module.custom_image_processing import CustomImageProcessor  # noqa E402


UpperCAmelCase       =     get_tests_dir('''fixtures''')


class      lowerCAmelCase   (					unittest.TestCase      ):







       def 	snake_case      (							self	:       Optional[Any]					):







            """simple docstring"""







            __lowercase							=mock.Mock()
            __lowercase							=500
            __lowercase							={}
            __lowercase							=HTTPError
            __lowercase							={}

            # Download this model to make sure it's in the cache.
            __lowercase							=ViTImageProcessor.from_pretrained('hf-internal-testing/tiny-random-vit'					)
            # Under the mock environment we get a 500 error when trying to reach the model.
            with mock.patch('requests.Session.request'  ,					return_value=__lowercase					) as mock_head:
                 __lowercase							=ViTImageProcessor.from_pretrained('hf-internal-testing/tiny-random-vit'					)
                 # This check we did call the fake head request
                 mock_head.assert_called()







       def 	snake_case      (							self	:       Optional[Any]					):







            """simple docstring"""







            __lowercase							=ViTImageProcessor.from_pretrained(
                'https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json'					)







       def 	snake_case      (							self	:       str					):







            """simple docstring"""







            with self.assertRaises(__lowercase					):
                 # config is in subfolder, the following should not work without specifying the subfolder
                 __lowercase							=AutoImageProcessor.from_pretrained('hf-internal-testing/stable-diffusion-all-variants'					)

            __lowercase							=AutoImageProcessor.from_pretrained(
                'hf-internal-testing/stable-diffusion-all-variants'  ,					subfolder='feature_extractor'					)

            self.assertIsNotNone(__lowercase					)






@is_staging_test
class      lowerCAmelCase   (					unittest.TestCase      ):







       @classmethod
       def 	snake_case      (							cls	:       Union[str, Any]					):







            """simple docstring"""







            __lowercase							=TOKEN
            HfFolder.save_token(__lowercase					)







       @classmethod
       def 	snake_case      (							cls	:       Any					):







            """simple docstring"""







            try:
                 delete_repo(token=cls._token  ,					repo_id='test-image-processor'					)
            except HTTPError:
                 pass

            try:
                 delete_repo(token=cls._token  ,					repo_id='valid_org/test-image-processor-org'					)
            except HTTPError:
                 pass

            try:
                 delete_repo(token=cls._token  ,					repo_id='test-dynamic-image-processor'					)
            except HTTPError:
                 pass







       def 	snake_case      (							self	:       List[str]					):







            """simple docstring"""







            __lowercase							=ViTImageProcessor.from_pretrained(__lowercase					)
            image_processor.push_to_hub('test-image-processor'  ,					use_auth_token=self._token					)

            __lowercase							=ViTImageProcessor.from_pretrained(f'''{USER}/test-image-processor'''					)
            for k, v in image_processor.__dict__.items():
                 self.assertEqual(__lowercase  ,					getattr(__lowercase  ,					__lowercase					)					)

            # Reset repo
            delete_repo(token=self._token  ,					repo_id='test-image-processor'					)

            # Push to hub via save_pretrained
            with tempfile.TemporaryDirectory() as tmp_dir:
                 image_processor.save_pretrained(
                     __lowercase  ,					repo_id='test-image-processor'  ,					push_to_hub=__lowercase  ,					use_auth_token=self._token					)

            __lowercase							=ViTImageProcessor.from_pretrained(f'''{USER}/test-image-processor'''					)
            for k, v in image_processor.__dict__.items():
                 self.assertEqual(__lowercase  ,					getattr(__lowercase  ,					__lowercase					)					)







       def 	snake_case      (							self	:       str					):







            """simple docstring"""







            __lowercase							=ViTImageProcessor.from_pretrained(__lowercase					)
            image_processor.push_to_hub('valid_org/test-image-processor'  ,					use_auth_token=self._token					)

            __lowercase							=ViTImageProcessor.from_pretrained('valid_org/test-image-processor'					)
            for k, v in image_processor.__dict__.items():
                 self.assertEqual(__lowercase  ,					getattr(__lowercase  ,					__lowercase					)					)

            # Reset repo
            delete_repo(token=self._token  ,					repo_id='valid_org/test-image-processor'					)

            # Push to hub via save_pretrained
            with tempfile.TemporaryDirectory() as tmp_dir:
                 image_processor.save_pretrained(
                     __lowercase  ,					repo_id='valid_org/test-image-processor-org'  ,					push_to_hub=__lowercase  ,					use_auth_token=self._token					)

            __lowercase							=ViTImageProcessor.from_pretrained('valid_org/test-image-processor-org'					)
            for k, v in image_processor.__dict__.items():
                 self.assertEqual(__lowercase  ,					getattr(__lowercase  ,					__lowercase					)					)







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







            """simple docstring"""







            CustomImageProcessor.register_for_auto_class()
            __lowercase							=CustomImageProcessor.from_pretrained(__lowercase					)

            image_processor.push_to_hub('test-dynamic-image-processor'  ,					use_auth_token=self._token					)

            # This has added the proper auto_map field to the config
            self.assertDictEqual(
                image_processor.auto_map  ,					{'AutoImageProcessor': 'custom_image_processing.CustomImageProcessor'}  ,					)

            __lowercase							=AutoImageProcessor.from_pretrained(
                f'''{USER}/test-dynamic-image-processor'''  ,					trust_remote_code=__lowercase					)
            # Can't make an isinstance check because the new_image_processor is from the CustomImageProcessor class of a dynamic module
            self.assertEqual(new_image_processor.__class__.__name__  ,					'CustomImageProcessor'					)










"""simple docstring"""



from typing import TYPE_CHECKING

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


__A		:       List[str]  				=		{
    '''configuration_mobilenet_v2''': [
        '''MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''MobileNetV2Config''',
        '''MobileNetV2OnnxConfig''',
    ],
}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A		:       Dict  				=		['''MobileNetV2FeatureExtractor''']
						__A		:       Optional[int]  				=		['''MobileNetV2ImageProcessor''']


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__A		:       Optional[Any]  				=		[
						    '''MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST''',
						    '''MobileNetV2ForImageClassification''',
						    '''MobileNetV2ForSemanticSegmentation''',
						    '''MobileNetV2Model''',
						    '''MobileNetV2PreTrainedModel''',
						    '''load_tf_weights_in_mobilenet_v2''',
						]


if TYPE_CHECKING:
						from .configuration_mobilenet_va import (
						    MOBILENET_V2_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    MobileNetVaConfig,
						    MobileNetVaOnnxConfig,
						)

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
												from .image_processing_mobilenet_va import MobileNetVaImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_mobilenet_va import (
												    MOBILENET_V2_PRETRAINED_MODEL_ARCHIVE_LIST,
												    MobileNetVaForImageClassification,
												    MobileNetVaForSemanticSegmentation,
												    MobileNetVaModel,
												    MobileNetVaPreTrainedModel,
												    load_tf_weights_in_mobilenet_va,
												)


else:
						import sys

						__A		:       List[Any]  				=		_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)



