






"""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       ):
      lowercase							    =       0







    def 			UpperCamelCase_      (			self       ):
      lowercase							    =       AutoImageProcessor.from_pretrained('openai/clip-vit-base-patch32'       )
      self.assertIsInstance(_lowerCamelCase							,		_lowerCamelCase       )







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

        lowercase							    =       AutoImageProcessor.from_pretrained(_lowerCamelCase       )
        self.assertIsInstance(_lowerCamelCase							,		_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      # Ensure we can load the image processor from the feature extractor config
      with tempfile.TemporaryDirectory() as tmpdirname:
        lowercase							    =       Path(_lowerCamelCase       ) / 'preprocessor_config.json'
        lowercase							    =       Path(_lowerCamelCase       ) / 'config.json'
        json.dump(
            {'feature_extractor_type': 'CLIPFeatureExtractor', 'processor_class': 'CLIPProcessor'}							,		open(_lowerCamelCase							,		'w'       )							,		)
        json.dump({'model_type': 'clip'}							,		open(_lowerCamelCase							,		'w'       )       )

        lowercase							    =       AutoImageProcessor.from_pretrained(_lowerCamelCase       )
        self.assertIsInstance(_lowerCamelCase							,		_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      with tempfile.TemporaryDirectory() as tmpdirname:
        lowercase							    =       CLIPConfig()

        # Create a dummy config file with image_proceesor_type
        lowercase							    =       Path(_lowerCamelCase       ) / 'preprocessor_config.json'
        lowercase							    =       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
        lowercase							    =       AutoImageProcessor.from_pretrained(_lowerCamelCase       ).to_dict()

        config_dict.pop('image_processor_type'       )
        lowercase							    =       CLIPImageProcessor(**_lowerCamelCase       )

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

        lowercase							    =       AutoImageProcessor.from_pretrained(_lowerCamelCase       )

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

      self.assertIsInstance(_lowerCamelCase							,		_lowerCamelCase       )







    def 			UpperCamelCase_      (			self       ):
      with tempfile.TemporaryDirectory() as tmpdirname:
        lowercase							    =       Path(_lowerCamelCase       ) / 'preprocessor_config.json'
        json.dump(
            {'image_processor_type': 'CLIPImageProcessor', 'processor_class': 'CLIPProcessor'}							,		open(_lowerCamelCase							,		'w'       )							,		)

        lowercase							    =       AutoImageProcessor.from_pretrained(_lowerCamelCase       )
        self.assertIsInstance(_lowerCamelCase							,		_lowerCamelCase       )







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







    def 			UpperCamelCase_      (			self       ):
      with self.assertRaisesRegex(
          _lowerCamelCase							,		R'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'       ):
        lowercase							    =       AutoImageProcessor.from_pretrained(_lowerCamelCase							,		revision='aaaaaa'       )







    def 			UpperCamelCase_      (			self       ):
      with self.assertRaisesRegex(
          _lowerCamelCase							,		'hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json.'							,		):
        lowercase							    =       AutoImageProcessor.from_pretrained('hf-internal-testing/config-no-model'       )







    def 			UpperCamelCase_      (			self       ):
      # If remote code is not set, we will time out when asking whether to load the model.
      with self.assertRaises(_lowerCamelCase       ):
        lowercase							    =       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       ):
        lowercase							    =       AutoImageProcessor.from_pretrained(
            'hf-internal-testing/test_dynamic_image_processor'							,		trust_remote_code=_lowerCamelCase       )

      lowercase							    =       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       )
        lowercase							    =       AutoImageProcessor.from_pretrained(_lowerCamelCase							,		trust_remote_code=_lowerCamelCase       )
      self.assertEqual(reloaded_image_processor.__class__.__name__							,		'NewImageProcessor'       )







    def 			UpperCamelCase_      (			self       ):
      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:
          lowercase							    =       Path(_lowerCamelCase       ) / 'preprocessor_config.json'
          lowercase							    =       Path(_lowerCamelCase       ) / 'config.json'
          json.dump(
              {'feature_extractor_type': 'CLIPFeatureExtractor', 'processor_class': 'CLIPProcessor'}							,		open(_lowerCamelCase							,		'w'       )							,		)
          json.dump({'model_type': 'clip'}							,		open(_lowerCamelCase							,		'w'       )       )

          lowercase							    =       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       )
          lowercase							    =       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       ):

      class        a     (   a_	):
          UpperCAmelCase_ :     Union[str, Any]	     =True

      try:
        AutoConfig.register('custom'							,		_lowerCamelCase       )
        AutoImageProcessor.register(_lowerCamelCase							,		_lowerCamelCase       )
        # If remote code is not set, the default is to use local
        lowercase							    =       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.
        lowercase							    =       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
        lowercase							    =       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]










"""simple docstring"""



from argparse import ArgumentParser

from .env import EnvironmentCommand
def 						_SCREAMING_SNAKE_CASE (    ):





  '''simple docstring'''





  lowercase							    =       ArgumentParser('Diffusers CLI tool'		,					usage='diffusers-cli <command> [<args>]'    )
  lowercase							    =       parser.add_subparsers(help='diffusers-cli command helpers'    )

  # Register commands
  EnvironmentCommand.register_subcommand(__snake_case    )

  # Let's go
  lowercase							    =       parser.parse_args()

  if not hasattr(__snake_case		,					'func'    ):
    parser.print_help()
    exit(1    )

  # Run
  lowercase							    =       args.func(__snake_case    )
  service.run()


if __name__ == "__main__":
    main()


