






"""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


__A		:       Union[str, Any]  				=		get_tests_dir('''fixtures''')





class 					_UpperCAmelCase       ( unittest.TestCase							):




					def   A  (				self     :						Optional[Any]   )  ->  List[str]:
							# A mock response for an HTTP head request to emulate server down
							lowercase_ : Tuple							       =   mock.Mock()
							lowercase_ : Tuple							       =   5_00
							lowercase_ : Any							       =   {}
							lowercase_ : Union[str, Any]							       =   HTTPError
							lowercase_ : Union[str, Any]							       =   {}

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






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

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

							self.assertIsNotNone(A   )





@is_staging_test
class 					_UpperCAmelCase       ( unittest.TestCase							):




					@classmethod
					def   A  (				cls     :						Union[str, Any]   )  ->  int:
							lowercase_ : Dict							       =   TOKEN
							HfFolder.save_token(A   )




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

							lowercase_ : Union[str, Any]							       =   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   )

							lowercase_ : str							       =   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     :						str   )  ->  List[Any]:
							lowercase_ : List[Any]							       =   ViTImageProcessor.from_pretrained(A   )
							image_processor.push_to_hub('''valid_org/test-image-processor'''    ,						use_auth_token=self._token   )

							lowercase_ : Union[str, Any]							       =   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   )

							lowercase_ : str							       =   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     :						Union[str, Any]   )  ->  Tuple:
							CustomImageProcessor.register_for_auto_class()
							lowercase_ : List[str]							       =   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'''}    ,						)

							lowercase_ : Dict							       =   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'''   )











"""simple docstring"""



def 						lowercase    (				__snake_case				: int = 1_0_0	):
		lowercase_ : str							       =   0
		lowercase_ : List[Any]							       =   0
		for i in range(1		,					n + 1	):
				sum_of_squares += i**2
				sum_of_ints += i
		return sum_of_ints**2 - sum_of_squares


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



