




'''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    :							str										=    get_tests_dir('fixtures')






class 		a							(  unittest.TestCase	):


				def     A_					(						self       :   List[Any]   ):
									# A mock response for an HTTP head request to emulate server down
									snake_case_		     =							mock.Mock()
									snake_case_		     =							500
									snake_case_		     =							{}
									snake_case_		     =							HTTPError
									snake_case_		     =							{}

									# Download this model to make sure it's in the cache.
									snake_case_		     =							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:
														snake_case_		     =							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       :   Any   ):
									# This test is for deprecated behavior and can be removed in v5
									snake_case_		     =							ViTImageProcessor.from_pretrained(
									    '''https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json'''   )


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

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

									self.assertIsNotNone(lowercase_   )







@is_staging_test
class 		a							(  unittest.TestCase	):


				@classmethod
				def     A_					(						cls       :   Union[str, Any]   ):
									snake_case_		     =							TOKEN
									HfFolder.save_token(lowercase_   )


				@classmethod
				def     A_					(						cls       :   Tuple   ):
									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       :   int   ):
									snake_case_		     =							ViTImageProcessor.from_pretrained(lowercase_   )
									image_processor.push_to_hub('''test-image-processor'''			,							use_auth_token=self._token   )

									snake_case_		     =							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   )

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


				def     A_					(						self       :   int   ):
									snake_case_		     =							ViTImageProcessor.from_pretrained(lowercase_   )
									image_processor.push_to_hub('''valid_org/test-image-processor'''			,							use_auth_token=self._token   )

									snake_case_		     =							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   )

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


				def     A_					(						self       :   List[Any]   ):
									CustomImageProcessor.register_for_auto_class()
									snake_case_		     =							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'''}			,							)

									snake_case_		     =							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'''   )







'''simple docstring'''

from collections.abc import Generator


def 						__magic_name__       (      )						->   Generator[int, None, None]:

					'''simple docstring'''

					snake_case_     ,snake_case_		     =							0, 1
					while True:
										snake_case_     ,snake_case_		     =							b, a + b
										yield b


def 						__magic_name__       (      __UpperCAmelCase = 1000      )						->   int:

					'''simple docstring'''

					snake_case_		     =							1
					snake_case_		     =							fibonacci_generator()
					while len(str(next(__UpperCAmelCase      )      )      ) < n:
										answer += 1
					return answer + 1


if __name__ == "__main__":
							print(solution(int(str(input()).strip())))

