


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


_SCREAMING_SNAKE_CASE			:       Optional[int]      =						get_tests_dir("""fixtures""")

class 			UpperCamelCase__			(			unittest.TestCase      ):






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

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






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






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

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

           self.assertIsNotNone(_lowercase )

@is_staging_test
class 			UpperCamelCase__			(			unittest.TestCase      ):






      @classmethod
      def 						__lowercase(  cls       : str )	->			Dict:
           UpperCamelCase__				:	List[str]										=  TOKEN
           HfFolder.save_token(_lowercase )






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

           UpperCamelCase__				:	Tuple										=  ViTImageProcessor.from_pretrained(f'{USER}/test-image-processor' )
           for k, v in image_processor.__dict__.items():
                self.assertEqual(_lowercase,		getattr(_lowercase,		_lowercase ) )

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

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






      def 						__lowercase(  self       : int )	->			Any:
           UpperCamelCase__				:	Any										=  ViTImageProcessor.from_pretrained(_lowercase )
           image_processor.push_to_hub('''valid_org/test-image-processor''',		use_auth_token=self._token )

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

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

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






      def 						__lowercase(  self       : List[str] )	->			int:
           CustomImageProcessor.register_for_auto_class()
           UpperCamelCase__				:	Tuple										=  CustomImageProcessor.from_pretrained(_lowercase )

           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__				:	str										=  AutoImageProcessor.from_pretrained(
               f'{USER}/test-dynamic-image-processor',		trust_remote_code=_lowercase )
           # 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 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						str:



    """simple docstring"""






    if isinstance(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			):
        raise TypeError("'float' object cannot be interpreted as an integer"			)
    if isinstance(SCREAMING_SNAKE_CASE_			,						SCREAMING_SNAKE_CASE_			):
        raise TypeError("'str' object cannot be interpreted as an integer"			)

    if num == 0:
        return "0b0"

    UpperCamelCase_			  =						False

    if num < 0:
        UpperCamelCase_			  =						True
        UpperCamelCase_			  =						-num

    UpperCamelCase_			  =						[]
    while num > 0:
        binary.insert(0			,						num % 2			)
        num >>= 1

    if negative:
        return "-0b" + "".join(str(SCREAMING_SNAKE_CASE_			) for e in binary			)

    return "0b" + "".join(str(SCREAMING_SNAKE_CASE_			) for e in binary			)


if __name__ == "__main__":
 import doctest

 doctest.testmod()
