
"""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 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						Optional[Any]						      =				0

		def 							__lowerCamelCase							(				self			):
			__lowerCAmelCase      :						Dict						      =				AutoImageProcessor.from_pretrained('openai/clip-vit-base-patch32'			)
			self.assertIsInstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)

		def 							__lowerCamelCase							(				self			):
			with tempfile.TemporaryDirectory() as tmpdirname:
				__lowerCAmelCase      :						Optional[Any]						      =				Path(_SCREAMING_SNAKE_CASE			) / 'preprocessor_config.json'
				__lowerCAmelCase      :						List[str]						      =				Path(_SCREAMING_SNAKE_CASE			) / 'config.json'
				json.dump(
				    {'image_processor_type': 'CLIPImageProcessor', 'processor_class': 'CLIPProcessor'}	,		open(_SCREAMING_SNAKE_CASE	,		'w'			)	,		)
				json.dump({'model_type': 'clip'}	,		open(_SCREAMING_SNAKE_CASE	,		'w'			)			)

				__lowerCAmelCase      :						Optional[int]						      =				AutoImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE			)
				self.assertIsInstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)

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

				__lowerCAmelCase      :						str						      =				AutoImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE			)
				self.assertIsInstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)

		def 							__lowerCamelCase							(				self			):
			with tempfile.TemporaryDirectory() as tmpdirname:
				__lowerCAmelCase      :						Tuple						      =				CLIPConfig()

				# Create a dummy config file with image_proceesor_type
				__lowerCAmelCase      :						List[Any]						      =				Path(_SCREAMING_SNAKE_CASE			) / 'preprocessor_config.json'
				__lowerCAmelCase      :						Tuple						      =				Path(_SCREAMING_SNAKE_CASE			) / 'config.json'
				json.dump(
				    {'image_processor_type': 'CLIPImageProcessor', 'processor_class': 'CLIPProcessor'}	,		open(_SCREAMING_SNAKE_CASE	,		'w'			)	,		)
				json.dump({'model_type': 'clip'}	,		open(_SCREAMING_SNAKE_CASE	,		'w'			)			)

				# remove image_processor_type to make sure config.json alone is enough to load image processor locally
				__lowerCAmelCase      :						Dict						      =				AutoImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE			).to_dict()

				config_dict.pop('image_processor_type'			)
				__lowerCAmelCase      :						Dict						      =				CLIPImageProcessor(**_SCREAMING_SNAKE_CASE			)

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

				__lowerCAmelCase      :						str						      =				AutoImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE			)

				# make sure private variable is not incorrectly saved
				__lowerCAmelCase      :						List[Any]						      =				json.loads(config.to_json_string()			)
				self.assertTrue('_processor_class' not in dict_as_saved			)

			self.assertIsInstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)

		def 							__lowerCamelCase							(				self			):
			with tempfile.TemporaryDirectory() as tmpdirname:
				__lowerCAmelCase      :						List[str]						      =				Path(_SCREAMING_SNAKE_CASE			) / 'preprocessor_config.json'
				json.dump(
				    {'image_processor_type': 'CLIPImageProcessor', 'processor_class': 'CLIPProcessor'}	,		open(_SCREAMING_SNAKE_CASE	,		'w'			)	,		)

				__lowerCAmelCase      :						int						      =				AutoImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE			)
				self.assertIsInstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)

		def 							__lowerCamelCase							(				self			):
			with self.assertRaisesRegex(
			    _SCREAMING_SNAKE_CASE	,		'clip-base is not a local folder and is not a valid model identifier'			):
				__lowerCAmelCase      :						Optional[Any]						      =				AutoImageProcessor.from_pretrained('clip-base'			)

		def 							__lowerCamelCase							(				self			):
			with self.assertRaisesRegex(
			    _SCREAMING_SNAKE_CASE	,		R'aaaaaa is not a valid git identifier \(branch name, tag name or commit id\)'			):
				__lowerCAmelCase      :						List[str]						      =				AutoImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE	,		revision='aaaaaa'			)

		def 							__lowerCamelCase							(				self			):
			with self.assertRaisesRegex(
			    _SCREAMING_SNAKE_CASE	,		'hf-internal-testing/config-no-model does not appear to have a file named preprocessor_config.json.'	,		):
				__lowerCAmelCase      :						List[str]						      =				AutoImageProcessor.from_pretrained('hf-internal-testing/config-no-model'			)

		def 							__lowerCamelCase							(				self			):
			# If remote code is not set, we will time out when asking whether to load the model.
			with self.assertRaises(_SCREAMING_SNAKE_CASE			):
				__lowerCAmelCase      :						Optional[int]						      =				AutoImageProcessor.from_pretrained('hf-internal-testing/test_dynamic_image_processor'			)
			# If remote code is disabled, we can't load this config.
			with self.assertRaises(_SCREAMING_SNAKE_CASE			):
				__lowerCAmelCase      :						Dict						      =				AutoImageProcessor.from_pretrained(
				    'hf-internal-testing/test_dynamic_image_processor'	,		trust_remote_code=_SCREAMING_SNAKE_CASE			)

			__lowerCAmelCase      :						Union[str, Any]						      =				AutoImageProcessor.from_pretrained(
			    'hf-internal-testing/test_dynamic_image_processor'	,		trust_remote_code=_SCREAMING_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(_SCREAMING_SNAKE_CASE			)
				__lowerCAmelCase      :						Any						      =				AutoImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE	,		trust_remote_code=_SCREAMING_SNAKE_CASE			)
			self.assertEqual(reloaded_image_processor.__class__.__name__	,		'NewImageProcessor'			)

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

				with tempfile.TemporaryDirectory() as tmpdirname:
					__lowerCAmelCase      :						Optional[int]						      =				Path(_SCREAMING_SNAKE_CASE			) / 'preprocessor_config.json'
					__lowerCAmelCase      :						Optional[int]						      =				Path(_SCREAMING_SNAKE_CASE			) / 'config.json'
					json.dump(
					    {'feature_extractor_type': 'CLIPFeatureExtractor', 'processor_class': 'CLIPProcessor'}	,		open(_SCREAMING_SNAKE_CASE	,		'w'			)	,		)
					json.dump({'model_type': 'clip'}	,		open(_SCREAMING_SNAKE_CASE	,		'w'			)			)

					__lowerCAmelCase      :						Optional[Any]						      =				CustomImageProcessor.from_pretrained(_SCREAMING_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(_SCREAMING_SNAKE_CASE			)
					__lowerCAmelCase      :						Optional[Any]						      =				AutoImageProcessor.from_pretrained(_SCREAMING_SNAKE_CASE			)
					self.assertIsInstance(_SCREAMING_SNAKE_CASE	,		_SCREAMING_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 							__lowerCamelCase							(				self			):




			class 			A__	(     _lowerCamelCase):
					A_						:	Any           =     True

			try:
				AutoConfig.register('custom'	,		_SCREAMING_SNAKE_CASE			)
				AutoImageProcessor.register(_SCREAMING_SNAKE_CASE	,		_SCREAMING_SNAKE_CASE			)
				# If remote code is not set, the default is to use local
				__lowerCAmelCase      :						str						      =				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      :						Union[str, Any]						      =				AutoImageProcessor.from_pretrained(
				    'hf-internal-testing/test_dynamic_image_processor'	,		trust_remote_code=_SCREAMING_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      :						int						      =				AutoImageProcessor.from_pretrained(
				    'hf-internal-testing/test_dynamic_image_processor'	,		trust_remote_code=_SCREAMING_SNAKE_CASE			)
				self.assertEqual(image_processor.__class__.__name__	,		'NewImageProcessor'			)
				self.assertTrue(not hasattr(_SCREAMING_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]

"""simple docstring"""







def    __lowerCAmelCase    (_UpperCamelCase		):
	if len(_UpperCamelCase		) <= 1:
		return lst

	__lowerCAmelCase      :						str						      =				1

	while i < len(_UpperCamelCase		):
		if lst[i - 1] <= lst[i]:
			i += 1
		else:
			__lowerCAmelCase      ,       __lowerCAmelCase      :						List[Any]						      =				lst[i], lst[i - 1]
			i -= 1
			if i == 0:
				__lowerCAmelCase      :						int						      =				1

	return lst


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