




"""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				=							get_tests_dir("""fixtures""")



class   a__					(						unittest.TestCase ):


			def    a_  (   self   :     Optional[Any]):


						"""simple docstring"""




						__UpperCAmelCase						:			Tuple												=       mock.Mock()
						__UpperCAmelCase						:			str												=       500
						__UpperCAmelCase						:			Optional[Any]												=       {}
						__UpperCAmelCase						:			int												=       HTTPError
						__UpperCAmelCase						:			Dict												=       {}

						# Download this model to make sure it's in the cache.
						__UpperCAmelCase						:			Tuple												=       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:
									__UpperCAmelCase						:			int												=       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   :     List[Any]):


						"""simple docstring"""




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


			def    a_  (   self   :     int):


						"""simple docstring"""




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

						__UpperCAmelCase						:			Tuple												=       AutoImageProcessor.from_pretrained(
						    "hf-internal-testing/stable-diffusion-all-variants"   ,	subfolder="feature_extractor")

						self.assertIsNotNone(UpperCamelCase_)






@is_staging_test
class   a__					(						unittest.TestCase ):


			@classmethod
			def    a_  (   cls   :     List[str]):


						"""simple docstring"""




						__UpperCAmelCase						:			Optional[Any]												=       TOKEN
						HfFolder.save_token(UpperCamelCase_)


			@classmethod
			def    a_  (   cls   :     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   :     Union[str, Any]):


						"""simple docstring"""




						__UpperCAmelCase						:			int												=       ViTImageProcessor.from_pretrained(UpperCamelCase_)
						image_processor.push_to_hub("test-image-processor"   ,	use_auth_token=self._token)

						__UpperCAmelCase						:			Optional[int]												=       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)

						__UpperCAmelCase						:			Dict												=       ViTImageProcessor.from_pretrained(F"{USER}/test-image-processor")
						for k, v in image_processor.__dict__.items():
									self.assertEqual(UpperCamelCase_   ,	getattr(UpperCamelCase_   ,	UpperCamelCase_))


			def    a_  (   self   :     Tuple):


						"""simple docstring"""




						__UpperCAmelCase						:			Any												=       ViTImageProcessor.from_pretrained(UpperCamelCase_)
						image_processor.push_to_hub("valid_org/test-image-processor"   ,	use_auth_token=self._token)

						__UpperCAmelCase						:			Union[str, Any]												=       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)

						__UpperCAmelCase						:			Union[str, Any]												=       ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org")
						for k, v in image_processor.__dict__.items():
									self.assertEqual(UpperCamelCase_   ,	getattr(UpperCamelCase_   ,	UpperCamelCase_))


			def    a_  (   self   :     Optional[int]):


						"""simple docstring"""




						CustomImageProcessor.register_for_auto_class()
						__UpperCAmelCase						:			int												=       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"}   ,	)

						__UpperCAmelCase						:			Any												=       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     __magic_name__      ( __snake_case							:			Any	,					__snake_case							:			Union[str, Any]	,					__snake_case							:			Union[str, Any]=False    )					->							Optional[Any]:

       if isinstance(__snake_case	,					__snake_case    ) and isinstance(__snake_case	,					__snake_case    ):
              lowercase       :							Tuple									=				len(set_a.intersection(__snake_case    )    )

              if alternative_union:
                     lowercase       :							Union[str, Any]									=				len(__snake_case    ) + len(__snake_case    )
              else:
                     lowercase       :							Optional[Any]									=				len(set_a.union(__snake_case    )    )

              return intersection / union

       if isinstance(__snake_case	,					(list, tuple)    ) and isinstance(__snake_case	,					(list, tuple)    ):
              lowercase       :							Tuple									=				[element for element in set_a if element in set_b]

              if alternative_union:
                     lowercase       :							List[str]									=				len(__snake_case    ) + len(__snake_case    )
                     return len(__snake_case    ) / union
              else:
                     lowercase       :							Dict									=				set_a + [element for element in set_b if element not in set_a]
                     return len(__snake_case    ) / len(__snake_case    )

              return len(__snake_case    ) / len(__snake_case    )
       return None


if __name__ == "__main__":
   _A     :			List[str]  						=			{"""a""", """b""", """c""", """d""", """e"""}
   _A     :			Dict  						=			{"""c""", """d""", """e""", """f""", """h""", """i"""}
   print(jaccard_similarity(set_a, set_b))


