
"""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


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




class  A__       (	unittest.TestCase):

		def 							__lowerCamelCase							(      self ):
			# A mock response for an HTTP head request to emulate server down
			__lowerCAmelCase			:						Optional[Any]									=      mock.Mock()
			__lowerCAmelCase			:						Dict									=      5_00
			__lowerCAmelCase			:						Any									=      {}
			__lowerCAmelCase			:						Any									=      HTTPError
			__lowerCAmelCase			:						int									=      {}

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

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







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

			__lowerCAmelCase			:						List[str]									=      AutoImageProcessor.from_pretrained(
			    'hf-internal-testing/stable-diffusion-all-variants'       ,		subfolder='feature_extractor' )

			self.assertIsNotNone(_SCREAMING_SNAKE_CASE )




@is_staging_test
class  A__       (	unittest.TestCase):

		@classmethod
		def 							__lowerCamelCase							(      cls ):
			__lowerCAmelCase			:						Union[str, Any]									=      TOKEN
			HfFolder.save_token(_SCREAMING_SNAKE_CASE )

		@classmethod
		def 							__lowerCamelCase							(      cls ):
			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 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						Dict									=      ViTImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE )
			image_processor.push_to_hub('test-image-processor'       ,		use_auth_token=self._token )

			__lowerCAmelCase			:						Any									=      ViTImageProcessor.from_pretrained(f"{USER}/test-image-processor" )
			for k, v in image_processor.__dict__.items():
				self.assertEqual(_SCREAMING_SNAKE_CASE       ,		getattr(_SCREAMING_SNAKE_CASE       ,		_SCREAMING_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(
				    _SCREAMING_SNAKE_CASE       ,		repo_id='test-image-processor'       ,		push_to_hub=_SCREAMING_SNAKE_CASE       ,		use_auth_token=self._token )

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

		def 							__lowerCamelCase							(      self ):
			__lowerCAmelCase			:						List[str]									=      ViTImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE )
			image_processor.push_to_hub('valid_org/test-image-processor'       ,		use_auth_token=self._token )

			__lowerCAmelCase			:						List[str]									=      ViTImageProcessor.from_pretrained('valid_org/test-image-processor' )
			for k, v in image_processor.__dict__.items():
				self.assertEqual(_SCREAMING_SNAKE_CASE       ,		getattr(_SCREAMING_SNAKE_CASE       ,		_SCREAMING_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(
				    _SCREAMING_SNAKE_CASE       ,		repo_id='valid_org/test-image-processor-org'       ,		push_to_hub=_SCREAMING_SNAKE_CASE       ,		use_auth_token=self._token )

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







		def 							__lowerCamelCase							(      self ):
			CustomImageProcessor.register_for_auto_class()
			__lowerCAmelCase			:						Union[str, Any]									=      CustomImageProcessor.from_pretrained(_SCREAMING_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'}       ,		)

			__lowerCAmelCase			:						int									=      AutoImageProcessor.from_pretrained(
			    f"{USER}/test-dynamic-image-processor"       ,		trust_remote_code=_SCREAMING_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        SCREAMING_SNAKE_CASE      (       _UpperCAmelCase						,	_UpperCAmelCase )			->     bool:
    lowerCamelCase__    :      List[str]					 =		len(_UpperCAmelCase )
    lowerCamelCase__    :      str					 =		[[False] * (required_sum + 1) for _ in range(arr_len + 1 )]

    # for each arr value, a sum of zero(0) can be formed by not taking any element
    # hence True/1
    for i in range(arr_len + 1 ):
        lowerCamelCase__    :      Tuple					 =		True

    # sum is not zero and set is empty then false
    for i in range(1						,	required_sum + 1 ):
        lowerCamelCase__    :      Dict					 =		False

    for i in range(1						,	arr_len + 1 ):
        for j in range(1						,	required_sum + 1 ):
            if arr[i - 1] > j:
                lowerCamelCase__    :      str					 =		subset[i - 1][j]
            if arr[i - 1] <= j:
                lowerCamelCase__    :      Dict					 =		subset[i - 1][j] or subset[i - 1][j - arr[i - 1]]

    return subset[arr_len][required_sum]


if __name__ == "__main__":
    import doctest

    doctest.testmod()





