





'''simple docstring'''

import warnings

from ...utils import logging
from .image_processing_mobilevit import MobileViTImageProcessor


a   	=    logging.get_logger(__name__)







class __a			( _snake_case      ):





   def __init__(       self					:      List[str]					,*lowerCamelCase					:      Optional[Any]					,**lowerCamelCase					:      int     ):

      '''simple docstring'''

      warnings.warn(
          """The class MobileViTFeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
          """ Please use MobileViTImageProcessor instead."""					,lowerCamelCase					,)
      super().__init__(*lowerCamelCase					,**lowerCamelCase     )












'''simple docstring'''

import json
import sys
import tempfile
import unittest
from pathlib import Path

import transformers
from transformers import (
    CONFIG_MAPPING,
    IMAGE_PROCESSOR_MAPPING,
    AutoConfig,
    AutoImageProcessor,
    CLIPConfig,
    CLIPImageProcessor,
)
from transformers.testing_utils import DUMMY_UNKNOWN_IDENTIFIER


sys.path.append(str(Path(__file__).parent.parent.parent.parent / "utils"))

from test_module.custom_configuration import CustomConfig  # noqa E402
from test_module.custom_image_processing import CustomImageProcessor  # noqa E402







class __a			( unittest.TestCase      ):





   def   UpperCAmelCase__  (       self					:      Any     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							0





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained("""openai/clip-vit-base-patch32"""     )
      self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      Dict     ):

      '''simple docstring'''

      with tempfile.TemporaryDirectory() as tmpdirname:
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """preprocessor_config.json"""
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """config.json"""
         json.dump(
             {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}					,open(lowerCamelCase					,"""w"""     )					,)
         json.dump({"""model_type""": """clip"""}					,open(lowerCamelCase					,"""w"""     )     )

         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     )
         self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      Optional[Any]     ):

      '''simple docstring'''

      with tempfile.TemporaryDirectory() as tmpdirname:
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """preprocessor_config.json"""
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """config.json"""
         json.dump(
             {"""feature_extractor_type""": """CLIPFeatureExtractor""", """processor_class""": """CLIPProcessor"""}					,open(lowerCamelCase					,"""w"""     )					,)
         json.dump({"""model_type""": """clip"""}					,open(lowerCamelCase					,"""w"""     )     )

         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     )
         self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      List[str]     ):

      '''simple docstring'''

      with tempfile.TemporaryDirectory() as tmpdirname:
         __SCREAMING_SNAKE_CASE   				=							CLIPConfig()

         # Create a dummy config file with image_proceesor_type
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """preprocessor_config.json"""
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """config.json"""
         json.dump(
             {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}					,open(lowerCamelCase					,"""w"""     )					,)
         json.dump({"""model_type""": """clip"""}					,open(lowerCamelCase					,"""w"""     )     )

         # remove image_processor_type to make sure config.json alone is enough to load image processor locally
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     ).to_dict()

         config_dict.pop("""image_processor_type"""     )
         __SCREAMING_SNAKE_CASE   				=							CLIPImageProcessor(**lowerCamelCase     )

         # save in new folder
         model_config.save_pretrained(lowerCamelCase     )
         config.save_pretrained(lowerCamelCase     )

         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     )

         # make sure private variable is not incorrectly saved
         __SCREAMING_SNAKE_CASE   				=							json.loads(config.to_json_string()     )
         self.assertTrue("""_processor_class""" not in dict_as_saved     )

      self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      Union[str, Any]     ):

      '''simple docstring'''

      with tempfile.TemporaryDirectory() as tmpdirname:
         __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """preprocessor_config.json"""
         json.dump(
             {"""image_processor_type""": """CLIPImageProcessor""", """processor_class""": """CLIPProcessor"""}					,open(lowerCamelCase					,"""w"""     )					,)

         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     )
         self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )





   def   UpperCAmelCase__  (       self					:      Dict     ):

      '''simple docstring'''

      with self.assertRaisesRegex(
          lowerCamelCase					,"""clip-base is not a local folder and is not a valid model identifier"""     ):
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained("""clip-base"""     )





   def   UpperCAmelCase__  (       self					:      Any     ):

      '''simple docstring'''

      with self.assertRaisesRegex(
          lowerCamelCase					,r"""aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)"""     ):
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase					,revision="""aaaaaa"""     )





   def   UpperCAmelCase__  (       self					:      List[Any]     ):

      '''simple docstring'''

      with self.assertRaisesRegex(
          lowerCamelCase					,"""hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json."""					,):
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained("""hf-internal-testing/config-no-model"""     )





   def   UpperCAmelCase__  (       self					:      Any     ):

      '''simple docstring'''

      with self.assertRaises(lowerCamelCase     ):
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained("""hf-internal-testing/test_dynamic_image_processor"""     )
      # If remote code is disabled, we can't load this config.
      with self.assertRaises(lowerCamelCase     ):
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(
             """hf-internal-testing/test_dynamic_image_processor"""					,trust_remote_code=lowerCamelCase     )

      __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(
          """hf-internal-testing/test_dynamic_image_processor"""					,trust_remote_code=lowerCamelCase     )
      self.assertEqual(image_processor.__class__.__name__					,"""NewImageProcessor"""     )

      # Test image processor can be reloaded.
      with tempfile.TemporaryDirectory() as tmp_dir:
         image_processor.save_pretrained(lowerCamelCase     )
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase					,trust_remote_code=lowerCamelCase     )
      self.assertEqual(reloaded_image_processor.__class__.__name__					,"""NewImageProcessor"""     )





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      try:
         AutoConfig.register("""custom"""					,lowerCamelCase     )
         AutoImageProcessor.register(lowerCamelCase					,lowerCamelCase     )
         # Trying to register something existing in the Transformers library will raise an error
         with self.assertRaises(lowerCamelCase     ):
            AutoImageProcessor.register(lowerCamelCase					,lowerCamelCase     )

         with tempfile.TemporaryDirectory() as tmpdirname:
            __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """preprocessor_config.json"""
            __SCREAMING_SNAKE_CASE   				=							Path(lowerCamelCase     ) / """config.json"""
            json.dump(
                {"""feature_extractor_type""": """CLIPFeatureExtractor""", """processor_class""": """CLIPProcessor"""}					,open(lowerCamelCase					,"""w"""     )					,)
            json.dump({"""model_type""": """clip"""}					,open(lowerCamelCase					,"""w"""     )     )

            __SCREAMING_SNAKE_CASE   				=							CustomImageProcessor.from_pretrained(lowerCamelCase     )

         # Now that the config is registered, it can be used as any other config with the auto-API
         with tempfile.TemporaryDirectory() as tmp_dir:
            image_processor.save_pretrained(lowerCamelCase     )
            __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(lowerCamelCase     )
            self.assertIsInstance(lowerCamelCase					,lowerCamelCase     )

      finally:
         if "custom" in CONFIG_MAPPING._extra_content:
            del CONFIG_MAPPING._extra_content["custom"]
         if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
            del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]





   def   UpperCAmelCase__  (       self					:      str     ):

      '''simple docstring'''

      class __a			( _snake_case      ):
         __UpperCamelCase :			int						   =						True

      try:
         AutoConfig.register("""custom"""					,lowerCamelCase     )
         AutoImageProcessor.register(lowerCamelCase					,lowerCamelCase     )
         # If remote code is not set, the default is to use local
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained("""hf-internal-testing/test_dynamic_image_processor"""     )
         self.assertEqual(image_processor.__class__.__name__					,"""NewImageProcessor"""     )
         self.assertTrue(image_processor.is_local     )

         # If remote code is disabled, we load the local one.
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(
             """hf-internal-testing/test_dynamic_image_processor"""					,trust_remote_code=lowerCamelCase     )
         self.assertEqual(image_processor.__class__.__name__					,"""NewImageProcessor"""     )
         self.assertTrue(image_processor.is_local     )

         # If remote is enabled, we load from the Hub
         __SCREAMING_SNAKE_CASE   				=							AutoImageProcessor.from_pretrained(
             """hf-internal-testing/test_dynamic_image_processor"""					,trust_remote_code=lowerCamelCase     )
         self.assertEqual(image_processor.__class__.__name__					,"""NewImageProcessor"""     )
         self.assertTrue(not hasattr(lowerCamelCase					,"""is_local"""     )     )

      finally:
         if "custom" in CONFIG_MAPPING._extra_content:
            del CONFIG_MAPPING._extra_content["custom"]
         if CustomConfig in IMAGE_PROCESSOR_MAPPING._extra_content:
            del IMAGE_PROCESSOR_MAPPING._extra_content[CustomConfig]





