
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


__lowerCAmelCase					:			Any			      =		get_tests_dir("fixtures")


class 						__lowerCAmelCase	(	unittest.TestCase      ):



      """simple docstring"""







      def 		snake_case_			(      self		:       Optional[int]				):
          # A mock response for an HTTP head request to emulate server down
          __lowercase		:			List[str]	    =       mock.Mock()
          __lowercase		:			Optional[int]	    =       500
          __lowercase		:			Optional[int]	    =       {}
          __lowercase		:			Optional[Any]	    =       HTTPError
          __lowercase		:			List[Any]	    =       {}

          # Download this model to make sure it's in the cache.
          __lowercase		:			int	    =       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=_snake_case				) as mock_head:
              __lowercase		:			str	    =       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		:       Dict				):
          # This test is for deprecated behavior and can be removed in v5
          __lowercase		:			Tuple	    =       ViTImageProcessor.from_pretrained(
              '''https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json'''				)




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

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

          self.assertIsNotNone(_snake_case				)






@is_staging_test
class 						__lowerCAmelCase	(	unittest.TestCase      ):



      """simple docstring"""







      @classmethod
      def 		snake_case_			(      cls		:       Tuple				):
          __lowercase		:			Any	    =       TOKEN
          HfFolder.save_token(_snake_case				)




      @classmethod
      def 		snake_case_			(      cls		:       Optional[int]				):
          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		:       Tuple				):
          __lowercase		:			Optional[Any]	    =       ViTImageProcessor.from_pretrained(_snake_case				)
          image_processor.push_to_hub('''test-image-processor'''				,       use_auth_token=self._token				)

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

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

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




      def 		snake_case_			(      self		:       List[str]				):
          __lowercase		:			int	    =       ViTImageProcessor.from_pretrained(_snake_case				)
          image_processor.push_to_hub('''valid_org/test-image-processor'''				,       use_auth_token=self._token				)

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

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

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




      def 		snake_case_			(      self		:       int				):
          CustomImageProcessor.register_for_auto_class()
          __lowercase		:			Dict	    =       CustomImageProcessor.from_pretrained(_snake_case				)

          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		:			Any	    =       AutoImageProcessor.from_pretrained(
              F'{USER}/test-dynamic-image-processor'				,       trust_remote_code=_snake_case				)
          # 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     UpperCAmelCase_  (						__lowerCAmelCase	) ->						int:

    if not isinstance(__lowerCAmelCase	,					__lowerCAmelCase	):
        raise ValueError('''multiplicative_persistence() only accepts integral values'''	)
    if num < 0:
        raise ValueError('''multiplicative_persistence() does not accept negative values'''	)

    __lowercase		:			Dict	    =       0
    __lowercase		:			Optional[int]	    =       str(__lowerCAmelCase	)

    while len(__lowerCAmelCase	) != 1:
        __lowercase		:			str	    =       [int(__lowerCAmelCase	) for i in num_string]

        __lowercase		:			Union[str, Any]	    =       1
        for i in range(0	,					len(__lowerCAmelCase	)	):
            total *= numbers[i]

        __lowercase		:			Any	    =       str(__lowerCAmelCase	)

        steps += 1
    return steps


def     UpperCAmelCase_  (						__lowerCAmelCase	) ->						int:

    if not isinstance(__lowerCAmelCase	,					__lowerCAmelCase	):
        raise ValueError('''additive_persistence() only accepts integral values'''	)
    if num < 0:
        raise ValueError('''additive_persistence() does not accept negative values'''	)

    __lowercase		:			Any	    =       0
    __lowercase		:			Union[str, Any]	    =       str(__lowerCAmelCase	)

    while len(__lowerCAmelCase	) != 1:
        __lowercase		:			List[str]	    =       [int(__lowerCAmelCase	) for i in num_string]

        __lowercase		:			Tuple	    =       0
        for i in range(0	,					len(__lowerCAmelCase	)	):
            total += numbers[i]

        __lowercase		:			List[str]	    =       str(__lowerCAmelCase	)

        steps += 1
    return steps


if __name__ == "__main__":
 import doctest

 doctest.testmod()


