





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


_snake_case  :    Optional[Any]						    =  get_tests_dir('fixtures')



class 				_UpperCAmelCase    (    unittest.TestCase    ):

  """simple docstring"""


  def 				lowercase		(				self :		Optional[int]     )							->						int:
     # A mock response for an HTTP head request to emulate server down
     __lowerCAmelCase								=	mock.Mock()
     __lowerCAmelCase								=	5_0_0
     __lowerCAmelCase								=	{}
     __lowerCAmelCase								=	HTTPError
     __lowerCAmelCase								=	{}

     # Download this model to make sure it's in the cache.
     __lowerCAmelCase								=	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=lowerCAmelCase_     ) as mock_head:
        __lowerCAmelCase								=	ViTImageProcessor.from_pretrained('hf-internal-testing/tiny-random-vit'     )
        # This check we did call the fake head request
        mock_head.assert_called()






  def 				lowercase		(				self :		str     )							->						List[Any]:
     # This test is for deprecated behavior and can be removed in v5
     __lowerCAmelCase								=	ViTImageProcessor.from_pretrained(
         'https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json'     )






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

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

     self.assertIsNotNone(lowerCAmelCase_     )





@is_staging_test
class 				_UpperCAmelCase    (    unittest.TestCase    ):

  """simple docstring"""


  @classmethod
  def 				lowercase		(				cls :		Union[str, Any]     )							->						List[Any]:
     __lowerCAmelCase								=	TOKEN
     HfFolder.save_token(lowerCAmelCase_     )






  @classmethod
  def 				lowercase		(				cls :		Dict     )							->						Dict:
     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 				lowercase		(				self :		Any     )							->						int:
     __lowerCAmelCase								=	ViTImageProcessor.from_pretrained(lowerCAmelCase_     )
     image_processor.push_to_hub('test-image-processor'					,  use_auth_token=self._token     )

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

     # 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(
            lowerCAmelCase_					,  repo_id='test-image-processor'					,  push_to_hub=lowerCAmelCase_					,  use_auth_token=self._token     )

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






  def 				lowercase		(				self :		List[str]     )							->						Tuple:
     __lowerCAmelCase								=	ViTImageProcessor.from_pretrained(lowerCAmelCase_     )
     image_processor.push_to_hub('valid_org/test-image-processor'					,  use_auth_token=self._token     )

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

     # 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(
            lowerCAmelCase_					,  repo_id='valid_org/test-image-processor-org'					,  push_to_hub=lowerCAmelCase_					,  use_auth_token=self._token     )

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






  def 				lowercase		(				self :		Tuple     )							->						List[str]:
     CustomImageProcessor.register_for_auto_class()
     __lowerCAmelCase								=	CustomImageProcessor.from_pretrained(lowerCAmelCase_     )

     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'}					,  )

     __lowerCAmelCase								=	AutoImageProcessor.from_pretrained(
         f"""{USER}/test-dynamic-image-processor"""					,  trust_remote_code=lowerCAmelCase_     )
     # 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'     )








def   a_    ( lowerCAmelCase_      :			str,	lowerCAmelCase_      :			int	):
   return [sentence[i : i + ngram_size] for i in range(len(lowerCAmelCase_	) - ngram_size + 1	)]


if __name__ == "__main__":
     from doctest import testmod

     testmod()

