




'''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     __lowercase						(  unittest.TestCase ):







   def 		UpperCamelCase__			(	self      )				->    Union[str, Any]:
     # A mock response for an HTTP head request to emulate server down
     __a			=					mock.Mock()
     __a			=					500
     __a			=					{}
     __a			=					HTTPError
     __a			=					{}

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







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







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

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

     self.assertIsNotNone(UpperCamelCase      )





@is_staging_test
class     __lowercase						(  unittest.TestCase ):







   @classmethod
   def 		UpperCamelCase__			(	cls      )				->    Optional[Any]:
     __a			=					TOKEN
     HfFolder.save_token(UpperCamelCase      )







   @classmethod
   def 		UpperCamelCase__			(	cls      )				->    Union[str, Any]:
     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 		UpperCamelCase__			(	self      )				->    List[Any]:
     __a			=					ViTImageProcessor.from_pretrained(UpperCamelCase      )
     image_processor.push_to_hub('test-image-processor'      ,							use_auth_token=self._token      )

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

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

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







   def 		UpperCamelCase__			(	self      )				->    str:
     __a			=					ViTImageProcessor.from_pretrained(UpperCamelCase      )
     image_processor.push_to_hub('valid_org/test-image-processor'      ,							use_auth_token=self._token      )

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

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

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







   def 		UpperCamelCase__			(	self      )				->    int:
     CustomImageProcessor.register_for_auto_class()
     __a			=					CustomImageProcessor.from_pretrained(UpperCamelCase      )

     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'}      ,							)

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


def 						SCREAMING_SNAKE_CASE       (      a_	:							int			):
  __a			=					0
  while num > 0:
    digit_sum += num % 10
    num //= 10
  return digit_sum


def 						SCREAMING_SNAKE_CASE       (      a_	:							int = 100			):
  __a			=					1
  __a			=					2

  for i in range(2				,					max_n + 1			):
    __a			=					pre_numerator
    __a			=					2 * i // 3 if i % 3 == 0 else 1
    __a			=					cur_numerator
    __a			=					e_cont * pre_numerator + temp

  return sum_digits(a_			)


if __name__ == "__main__":
  print(f"""{solution() = }""")



