





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_           =      get_tests_dir('fixtures')

class 		SCREAMING_SNAKE_CASE__    (	unittest.TestCase  ):


      def        a			(self	:				Any				):





         """simple docstring"""



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

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


      def        a			(self	:				Dict				):





         """simple docstring"""



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


      def        a			(self	:				List[str]				):





         """simple docstring"""



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

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

         self.assertIsNotNone(a__				)






@is_staging_test
class 		SCREAMING_SNAKE_CASE__    (	unittest.TestCase  ):


      @classmethod
      def        a			(cls	:				Optional[Any]				):





         """simple docstring"""



         __snake_case								=       TOKEN
         HfFolder.save_token(a__				)


      @classmethod
      def        a			(cls	:				Optional[int]				):





         """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        a			(self	:				int				):





         """simple docstring"""



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

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

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

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


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





         """simple docstring"""



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

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

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

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


      def        a			(self	:				List[str]				):





         """simple docstring"""



         CustomImageProcessor.register_for_auto_class()
         __snake_case								=       CustomImageProcessor.from_pretrained(a__				)

         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'''}    ,      )

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








# Algorithm for the pigeonhole sorting








def lowerCamelCase__   (							snake_case_     :  int	)				->    Optional[int]:
   __snake_case								=       min(snake_case_	)  # min() finds the minimum value
   __snake_case								=       max(snake_case_	)  # max() finds the maximum value

   __snake_case								=       max_val - min_val + 1  # size is difference of max and min values plus one

   # list of pigeonholes of size equal to the variable size
   __snake_case								=       [0] * size

   # Populate the pigeonholes.
   for x in a:
      assert isinstance(snake_case_	,				snake_case_	), "integers only please"
      holes[x - min_val] += 1

   # Putting the elements back into the array in an order.
   __snake_case								=       0
   for count in range(snake_case_	):
      while holes[count] > 0:
         holes[count] -= 1
         __snake_case								=       count + min_val
         i += 1






def lowerCamelCase__   (							)				->    Union[str, Any]:
   __snake_case								=       [8, 3, 2, 7, 4, 6, 8]
   pigeonhole_sort(snake_case_	)
   print('''Sorted order is:'''	,				''' '''.join(snake_case_	)	)


if __name__ == "__main__":
    main()

