



'''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	:		Optional[int]				=   get_tests_dir('''fixtures''')






class 					UpperCAmelCase__	(		unittest.TestCase ):



					def        UpperCAmelCase_ (    self     )     ->			Optional[int]:
						# A mock response for an HTTP head request to emulate server down
						__lowerCAmelCase												=  mock.Mock()
						__lowerCAmelCase												=  500
						__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        UpperCAmelCase_ (    self     )     ->			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        UpperCAmelCase_ (    self     )     ->			str:
						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 					UpperCAmelCase__	(		unittest.TestCase ):



					@classmethod
					def        UpperCAmelCase_ (    cls     )     ->			int:
						__lowerCAmelCase												=  TOKEN
						HfFolder.save_token(UpperCamelCase     )



					@classmethod
					def        UpperCAmelCase_ (    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        UpperCAmelCase_ (    self     )     ->			List[str]:
						__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        UpperCAmelCase_ (    self     )     ->			Optional[int]:
						__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        UpperCAmelCase_ (    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"     )




'''simple docstring'''



import importlib
import os
from dataclasses import dataclass
from enum import Enum
from typing import Any, Dict, Optional, Union

import torch

from ..utils import BaseOutput


lowerCAmelCase	:		Optional[Any]				=   '''scheduler_config.json'''






class 					UpperCAmelCase__	(		UpperCamelCase__ ):
					a      :     str        =							1
					a      :     Optional[int]        =							2
					a      :     int        =							3
					a      :     Union[str, Any]        =							4
					a      :     int        =							5
					a      :     Optional[int]        =							6
					a      :     str        =							7
					a      :     List[Any]        =							8
					a      :     List[str]        =							9
					a      :     List[str]        =							1_0
					a      :     int        =							1_1
					a      :     Any        =							1_2
					a      :     Any        =							1_3
					a      :     Tuple        =							1_4






@dataclass
class 					UpperCAmelCase__	(		UpperCamelCase__ ):
					a      :     torch.FloatTensor






class 					UpperCAmelCase__	:
					a      :     Tuple        =							SCHEDULER_CONFIG_NAME
					a      :     Union[str, Any]        =							[]
					a      :     str        =							True



					@classmethod
					def        UpperCAmelCase_ (    cls			,				UpperCamelCase = None			,				UpperCamelCase = None			,				UpperCamelCase=False			,				**UpperCamelCase			,				)     ->			int:
						__lowerCAmelCase							,       __lowerCAmelCase							,       __lowerCAmelCase												=  cls.load_config(
						    pretrained_model_name_or_path=UpperCamelCase			,				subfolder=UpperCamelCase			,				return_unused_kwargs=UpperCamelCase			,				return_commit_hash=UpperCamelCase			,				**UpperCamelCase			,				)
						return cls.from_config(UpperCamelCase			,				return_unused_kwargs=UpperCamelCase			,				**UpperCamelCase     )



					def        UpperCAmelCase_ (    self			,				UpperCamelCase			,				UpperCamelCase = False			,				**UpperCamelCase     )     ->			Dict:
						self.save_config(save_directory=UpperCamelCase			,				push_to_hub=UpperCamelCase			,				**UpperCamelCase     )



					@property
					def        UpperCAmelCase_ (    self     )     ->			str:
						return self._get_compatibles()



					@classmethod
					def        UpperCAmelCase_ (    cls     )     ->			Tuple:
						__lowerCAmelCase												=  list(set([cls.__name__] + cls._compatibles     )     )
						__lowerCAmelCase												=  importlib.import_module(__name__.split("."     )[0]     )
						__lowerCAmelCase												=  [
						    getattr(UpperCamelCase			,				UpperCamelCase     ) for c in compatible_classes_str if hasattr(UpperCamelCase			,				UpperCamelCase     )
						]
						return compatible_classes