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						):






 '''simple docstring'''






 def 		__snake_case						(      self :  Tuple):







        '''simple docstring'''



        lowerCAmelCase__					     = 0




 def 		__snake_case						(      self :  str):







        '''simple docstring'''



        lowerCAmelCase__					     = AutoImageProcessor.from_pretrained('openai/clip-vit-base-patch32')
        self.assertIsInstance(__snake_case      ,   __snake_case)




 def 		__snake_case						(      self :  List[Any]):







        '''simple docstring'''



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

               lowerCAmelCase__					     = AutoImageProcessor.from_pretrained(__snake_case)
               self.assertIsInstance(__snake_case      ,   __snake_case)




 def 		__snake_case						(      self :  List[str]):







        '''simple docstring'''



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

               lowerCAmelCase__					     = AutoImageProcessor.from_pretrained(__snake_case)
               self.assertIsInstance(__snake_case      ,   __snake_case)




 def 		__snake_case						(      self :  Tuple):







        '''simple docstring'''



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

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

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

               config_dict.pop('image_processor_type')
               lowerCAmelCase__					     = CLIPImageProcessor(**__snake_case)

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

               lowerCAmelCase__					     = AutoImageProcessor.from_pretrained(__snake_case)

               # 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(__snake_case      ,   __snake_case)




 def 		__snake_case						(      self :  List[Any]):







        '''simple docstring'''



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

               lowerCAmelCase__					     = AutoImageProcessor.from_pretrained(__snake_case)
               self.assertIsInstance(__snake_case      ,   __snake_case)




 def 		__snake_case						(      self :  int):







        '''simple docstring'''



        with self.assertRaisesRegex(
            __snake_case      ,   'clip-base is not a local folder and is not a valid model identifier'):
               lowerCAmelCase__					     = AutoImageProcessor.from_pretrained('clip-base')




 def 		__snake_case						(      self :  Tuple):







        '''simple docstring'''



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




 def 		__snake_case						(      self :  str):







        '''simple docstring'''



        with self.assertRaisesRegex(
            __snake_case      ,   '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 :  List[str]):







        '''simple docstring'''



        with self.assertRaises(__snake_case):
               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(__snake_case):
               lowerCAmelCase__					     = AutoImageProcessor.from_pretrained(
                   'hf-internal-testing/test_dynamic_image_processor'      ,   trust_remote_code=__snake_case)

        lowerCAmelCase__					     = AutoImageProcessor.from_pretrained(
            'hf-internal-testing/test_dynamic_image_processor'      ,   trust_remote_code=__snake_case)
        self.assertEqual(image_processor.__class__.__name__      ,   'NewImageProcessor')

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




 def 		__snake_case						(      self :  List[str]):







        '''simple docstring'''



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

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

                      lowerCAmelCase__					     = CustomImageProcessor.from_pretrained(__snake_case)

               # 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(__snake_case)
                      lowerCAmelCase__					     = AutoImageProcessor.from_pretrained(__snake_case)
                      self.assertIsInstance(__snake_case      ,   __snake_case)

        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 :  Dict):







        '''simple docstring'''



        class     a_			(						A__						):






         '''simple docstring'''






         UpperCAmelCase_     			= True

        try:
               AutoConfig.register('custom'      ,   __snake_case)
               AutoImageProcessor.register(__snake_case      ,   __snake_case)
               # 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=__snake_case)
               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=__snake_case)
               self.assertEqual(image_processor.__class__.__name__      ,   'NewImageProcessor')
               self.assertTrue(not hasattr(__snake_case      ,   '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]

def 				__lowerCamelCase		(						lowerCAmelCase__     ):
       lowerCAmelCase__					     = len(lowerCAmelCase__     )
       for i in range(lowerCAmelCase__     ):
              for j in range(i + 1     ,  lowerCAmelCase__     ):
                     if numbers[j] < numbers[i]:
                            lowerCAmelCase__     , lowerCAmelCase__					     = numbers[j], numbers[i]
       return numbers


if __name__ == "__main__":
    lowerCAmelCase__     						=			input('Enter numbers separated by a comma:\n').strip()
    lowerCAmelCase__     						=			[int(item) for item in user_input.split(',')]
    print(exchange_sort(unsorted))
