






"""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


SCREAMING_SNAKE_CASE						:						Any					   =       get_tests_dir('''fixtures''')





class       snake_case_       (    unittest.TestCase       ):



	"""simple docstring"""

	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					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=__a						) 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						):


					"""simple docstring"""

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






	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					with self.assertRaises(__a						):
									# 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(__a						)





@is_staging_test
class       snake_case_       (    unittest.TestCase       ):



	"""simple docstring"""

	@classmethod
	def       _UpperCAmelCase						(      cls						):


					"""simple docstring"""

					A__							 =       TOKEN
					HfFolder.save_token(__a						)


	@classmethod
	def       _UpperCAmelCase						(      cls						):


					"""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       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__							 =       ViTImageProcessor.from_pretrained(__a						)
					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(__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						)

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


	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					A__							 =       ViTImageProcessor.from_pretrained(__a						)
					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(__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						)

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






	def       _UpperCAmelCase						(      self						):


					"""simple docstring"""

					CustomImageProcessor.register_for_auto_class()
					A__							 =       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'}  ,					)

					A__							 =       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"""






from PIL import Image



def  __lowerCamelCase					(					lowerCAmelCase__				):
				A__ ,			A__							 =       image.size
				A__							 =       0
				A__							 =       image.load()
				for i in range(lowerCAmelCase__				):
								for j in range(lowerCAmelCase__				):
												A__							 =       pixels[j, i]
												mean += pixel
				mean //= width * height

				for j in range(lowerCAmelCase__				):
								for i in range(lowerCAmelCase__				):
												A__							 =       255 if pixels[i, j] > mean else 0
				return image


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE						:						Dict					   =       mean_threshold(Image.open('''path_to_image''').convert('''L'''))
					image.save('''output_image_path''')


