
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


lowercase   =	get_tests_dir('''fixtures''')





class    __A(					unittest.TestCase							):

					def  lowercase__   (						self       :  str ):
												# A mock response for an HTTP head request to emulate server down
												lowerCamelCase_					=       mock.Mock()
												lowerCamelCase_					=       5_0_0
												lowerCamelCase_					=       {}
												lowerCamelCase_					=       HTTPError
												lowerCamelCase_					=       {}

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



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

												lowerCamelCase_					=       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  lowercase__   (						cls       :  Tuple ):
												lowerCamelCase_					=       TOKEN
												HfFolder.save_token(__UpperCamelCase )

					@classmethod
					def  lowercase__   (						cls       :  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       :  Any ):
												lowerCamelCase_					=       ViTImageProcessor.from_pretrained(__UpperCamelCase )
												image_processor.push_to_hub("""test-image-processor""" ,       use_auth_token=self._token )

												lowerCamelCase_					=       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 )

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

					def  lowercase__   (						self       :  Tuple ):
												lowerCamelCase_					=       ViTImageProcessor.from_pretrained(__UpperCamelCase )
												image_processor.push_to_hub("""valid_org/test-image-processor""" ,       use_auth_token=self._token )

												lowerCamelCase_					=       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 )

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



					def  lowercase__   (						self       :  int ):
												CustomImageProcessor.register_for_auto_class()
												lowerCamelCase_					=       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"""} ,       )

												lowerCamelCase_					=       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""" )







import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer



def   __lowerCAmelCase    (				UpperCAmelCase__					:   str      ,					UpperCAmelCase__					:   str      ,					**UpperCAmelCase__					:   List[str]							)	->     Tuple:
							lowerCamelCase_					=       AutoConfig.from_pretrained(UpperCAmelCase__      ,					**UpperCAmelCase__							)
							lowerCamelCase_					=       AutoModelForSeqaSeqLM.from_config(UpperCAmelCase__							)
							model.save_pretrained(UpperCAmelCase__							)
							AutoTokenizer.from_pretrained(UpperCAmelCase__							).save_pretrained(UpperCAmelCase__							)
							return model


if __name__ == "__main__":
		fire.Fire(save_randomly_initialized_version)





