


import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format






class    UpperCAmelCase__	:



    """simple docstring"""






    UpperCAmelCase__						:		Tuple              =  None






    def _a (      self   )  ->	Tuple:
         __UpperCamelCase   							=self.feature_extraction_class(**self.feat_extract_dict   )
         __UpperCamelCase   							=json.loads(feat_extract.to_json_string()   )
         for key, value in self.feat_extract_dict.items():
              self.assertEqual(obj[key] ,       a_   )






    def _a (      self   )  ->	Union[str, Any]:
         __UpperCamelCase   							=self.feature_extraction_class(**self.feat_extract_dict   )

         with tempfile.TemporaryDirectory() as tmpdirname:
              __UpperCamelCase   							=os.path.join(a_ ,       'feat_extract.json'   )
              feat_extract_first.to_json_file(a_   )
              __UpperCamelCase   							=self.feature_extraction_class.from_json_file(a_   )

         self.assertEqual(feat_extract_second.to_dict() ,       feat_extract_first.to_dict()   )






    def _a (      self   )  ->	Optional[Any]:
         __UpperCamelCase   							=self.feature_extraction_class(**self.feat_extract_dict   )

         with tempfile.TemporaryDirectory() as tmpdirname:
              __UpperCamelCase   							=feat_extract_first.save_pretrained(a_   )[0]
              check_json_file_has_correct_format(a_   )
              __UpperCamelCase   							=self.feature_extraction_class.from_pretrained(a_   )

         self.assertEqual(feat_extract_second.to_dict() ,       feat_extract_first.to_dict()   )






    def _a (      self   )  ->	Dict:
         __UpperCamelCase   							=self.feature_extraction_class()
         self.assertIsNotNone(a_   )










import warnings

from ...utils import logging
from .image_processing_imagegpt import ImageGPTImageProcessor


_A			=						logging.get_logger(__name__)






class    UpperCAmelCase__	( A_		):



    """simple docstring"""






    def __init__(      self ,       *A_ ,       **A_   )  ->	None:
         warnings.warn(
             'The class ImageGPTFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'
             ' Please use ImageGPTImageProcessor instead.' ,       A_ ,       )
         super().__init__(*A_ ,       **A_   )





