





'''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    lowerCAmelCase_		(		unittest.TestCase		):




 def 							_snake_case   (	self		)    ->							str:
     _lowerCAmelCase				=	0




 def 							_snake_case   (	self		)    ->							Any:
     _lowerCAmelCase				=	AutoImageProcessor.from_pretrained("openai/clip-vit-base-patch32"		)
     self.assertIsInstance(_lowercase			,     _lowercase		)




 def 							_snake_case   (	self		)    ->							Optional[Any]:

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

         _lowerCAmelCase				=	AutoImageProcessor.from_pretrained(_lowercase		)
         self.assertIsInstance(_lowercase			,     _lowercase		)




 def 							_snake_case   (	self		)    ->							Union[str, Any]:

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

         _lowerCAmelCase				=	AutoImageProcessor.from_pretrained(_lowercase		)
         self.assertIsInstance(_lowercase			,     _lowercase		)




 def 							_snake_case   (	self		)    ->							Dict:

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

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

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

         config_dict.pop("image_processor_type"		)
         _lowerCAmelCase				=	CLIPImageProcessor(**_lowercase		)

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

         _lowerCAmelCase				=	AutoImageProcessor.from_pretrained(_lowercase		)

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

     self.assertIsInstance(_lowercase			,     _lowercase		)




 def 							_snake_case   (	self		)    ->							List[str]:

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

         _lowerCAmelCase				=	AutoImageProcessor.from_pretrained(_lowercase		)
         self.assertIsInstance(_lowercase			,     _lowercase		)




 def 							_snake_case   (	self		)    ->							int:

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




 def 							_snake_case   (	self		)    ->							int:

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




 def 							_snake_case   (	self		)    ->							Any:

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




 def 							_snake_case   (	self		)    ->							Tuple:

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

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

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




 def 							_snake_case   (	self		)    ->							Union[str, Any]:

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

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

             _lowerCAmelCase				=	CustomImageProcessor.from_pretrained(_lowercase		)

         # 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(_lowercase		)
             _lowerCAmelCase				=	AutoImageProcessor.from_pretrained(_lowercase		)
             self.assertIsInstance(_lowercase			,     _lowercase		)

     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 							_snake_case   (	self		)    ->							List[str]:

     class    lowerCAmelCase_		(		__snake_case		):
      __lowerCamelCase						:							List[Any]         =					True

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

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









'''simple docstring'''


from __future__ import annotations


def 	__a(SCREAMING_SNAKE_CASE_  :					float		,       SCREAMING_SNAKE_CASE_  :					float		,       SCREAMING_SNAKE_CASE_  :					float    ):



    '''simple docstring'''





    if (voltage, current, resistance).count(0    ) != 1:
        raise ValueError("One and only one argument must be 0"    )
    if resistance < 0:
        raise ValueError("Resistance cannot be negative"    )
    if voltage == 0:
        return {"voltage": float(current * resistance    )}
    elif current == 0:
        return {"current": voltage / resistance}
    elif resistance == 0:
        return {"resistance": voltage / current}
    else:
        raise ValueError("Exactly one argument must be 0"    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()


