





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							   =							get_tests_dir("fixtures")



class   _SCREAMING_SNAKE_CASE		(      unittest.TestCase       ):







 '''simple docstring'''

 def 				SCREAMING_SNAKE_CASE_   (self							:  Tuple)			->Tuple:



   '''simple docstring'''



   lowerCamelCase__: str         =mock.Mock()
   lowerCamelCase__: Union[str, Any]         =500
   lowerCamelCase__: Optional[Any]         ={}
   lowerCamelCase__: Any         =HTTPError
   lowerCamelCase__: Union[str, Any]         ={}

   # Download this model to make sure it's in the cache.
   lowerCamelCase__: str         =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__: Dict         =ViTImageProcessor.from_pretrained("hf-internal-testing/tiny-random-vit")
     # This check we did call the fake head request
     mock_head.assert_called()

 def 				SCREAMING_SNAKE_CASE_   (self							:  str)			->Any:



   '''simple docstring'''



   lowerCamelCase__: Optional[int]         =ViTImageProcessor.from_pretrained(
       "https://huggingface.co/hf-internal-testing/tiny-random-vit/resolve/main/preprocessor_config.json")







 def 				SCREAMING_SNAKE_CASE_   (self							:  Dict)			->str:



   '''simple docstring'''



   with self.assertRaises(UpperCAmelCase_):
     # config is in subfolder, the following should not work without specifying the subfolder
     lowerCamelCase__: int         =AutoImageProcessor.from_pretrained("hf-internal-testing/stable-diffusion-all-variants")

   lowerCamelCase__: Any         =AutoImageProcessor.from_pretrained(
       "hf-internal-testing/stable-diffusion-all-variants"			,					subfolder="feature_extractor")

   self.assertIsNotNone(UpperCAmelCase_)



@is_staging_test
class   _SCREAMING_SNAKE_CASE		(      unittest.TestCase       ):







 '''simple docstring'''

 @classmethod
 def 				SCREAMING_SNAKE_CASE_   (cls							:  Dict)			->List[Any]:



   '''simple docstring'''



   lowerCamelCase__: str         =TOKEN
   HfFolder.save_token(UpperCAmelCase_)

 @classmethod
 def 				SCREAMING_SNAKE_CASE_   (cls							:  Optional[Any])			->Optional[int]:



   '''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 				SCREAMING_SNAKE_CASE_   (self							:  List[str])			->Dict:



   '''simple docstring'''



   lowerCamelCase__: Tuple         =ViTImageProcessor.from_pretrained(UpperCAmelCase_)
   image_processor.push_to_hub("test-image-processor"			,					use_auth_token=self._token)

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

 def 				SCREAMING_SNAKE_CASE_   (self							:  Optional[int])			->Tuple:



   '''simple docstring'''



   lowerCamelCase__: Any         =ViTImageProcessor.from_pretrained(UpperCAmelCase_)
   image_processor.push_to_hub("valid_org/test-image-processor"			,					use_auth_token=self._token)

   lowerCamelCase__: int         =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__: Tuple         =ViTImageProcessor.from_pretrained("valid_org/test-image-processor-org")
   for k, v in image_processor.__dict__.items():
     self.assertEqual(UpperCAmelCase_			,					getattr(UpperCAmelCase_			,					UpperCAmelCase_))







 def 				SCREAMING_SNAKE_CASE_   (self							:  List[Any])			->List[Any]:



   '''simple docstring'''



   CustomImageProcessor.register_for_auto_class()
   lowerCamelCase__: Any         =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__: str         =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"""


from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Any, ClassVar, Dict, List, Optional, Union

import pyarrow as pa


if TYPE_CHECKING:
						from .features import FeatureType




@dataclass
class  __lowerCamelCase  :
				a__:      List[str]
				a__:      Optional[str]          =    None
				# Automatically constructed
				a__:      ClassVar[str]          =    "dict"
				a__:      ClassVar[Any]          =    None
				a__:      str          =    field(default='Translation'						,	init=lowerCAmelCase						,	repr=lowerCAmelCase			)




				def __call__(				self   ):
							return pa.struct({lang: pa.string() for lang in sorted(self.languages   )}   )





				def        UpperCAmelCase__						(				self   ):
							from .features import Value

							return {k: Value('''string'''   ) for k in sorted(self.languages   )}




@dataclass
class  __lowerCamelCase  :
				a__:      Optional[List]          =    None
				a__:      Optional[int]          =    None
				a__:      Optional[str]          =    None
				# Automatically constructed
				a__:      ClassVar[str]          =    "dict"
				a__:      ClassVar[Any]          =    None
				a__:      str          =    field(default='TranslationVariableLanguages'						,	init=lowerCAmelCase						,	repr=lowerCAmelCase			)




				def        UpperCAmelCase__						(				self   ):
							lowerCamelCase_					=  sorted(set(self.languages   )   ) if self.languages else None
							lowerCamelCase_					=  len(self.languages   ) if self.languages else None




				def __call__(				self   ):
							return pa.struct({'''language''': pa.list_(pa.string()   ), '''translation''': pa.list_(pa.string()   )}   )




				def        UpperCAmelCase__						(				self							,						UpperCAmelCase   ):
							lowerCamelCase_					=  set(self.languages   )
							if self.languages and set(UpperCAmelCase   ) - lang_set:
										raise ValueError(
										    f"Some languages in example ({', '.join(sorted(set(UpperCAmelCase   ) - lang_set   )   )}) are not in valid set ({', '.join(UpperCAmelCase   )})."   )

							# Convert dictionary into tuples, splitting out cases where there are
							# multiple translations for a single language.
							lowerCamelCase_					=  []
							for lang, text in translation_dict.items():
										if isinstance(UpperCAmelCase							,						UpperCAmelCase   ):
													translation_tuples.append((lang, text)   )
										else:
													translation_tuples.extend([(lang, el) for el in text]   )

        # Ensure translations are in ascending order by language code.
							lowerCamelCase_		, lowerCamelCase_					=  zip(*sorted(UpperCAmelCase   )   )

							return {"language": languages, "translation": translations}





				def        UpperCAmelCase__						(				self   ):
							from .features import Sequence, Value

							return {
							    "language": Sequence(Value('''string'''   )   ),
							    "translation": Sequence(Value('''string'''   )   ),
							}



