




import importlib
import inspect
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_config_docstrings.py
__UpperCamelCase   :			str          = "src/transformers"


# This is to make sure the transformers module imported is the one in the repo.
__UpperCamelCase   :			Union[str, Any]          = importlib.util.spec_from_file_location(
    "transformers",
    os.path.join(PATH_TO_TRANSFORMERS, "__init__.py"),
    submodule_search_locations=[PATH_TO_TRANSFORMERS],
)
__UpperCamelCase   :			List[Any]          = spec.loader.load_module()

__UpperCamelCase   :			List[str]          = transformers.models.auto.configuration_auto.CONFIG_MAPPING

# Regex pattern used to find the checkpoint mentioned in the docstring of `config_class`.
# For example, `[bert-base-uncased](https://huggingface.co/bert-base-uncased)`
__UpperCamelCase   :			int          = re.compile("\[(.+?)\]\((https://huggingface\.co/.+?)\)")


__UpperCamelCase   :			Tuple          = {
    "CLIPConfigMixin",
    "DecisionTransformerConfigMixin",
    "EncoderDecoderConfigMixin",
    "RagConfigMixin",
    "SpeechEncoderDecoderConfigMixin",
    "VisionEncoderDecoderConfigMixin",
    "VisionTextDualEncoderConfigMixin",
}





def 						__A						(      ) ->			Any:
	a									=				[]

	for config_class in list(CONFIG_MAPPING.values()       ):
		a									=				False

		# source code of `config_class`
		a									=				inspect.getsource(lowerCamelCase_       )
		a									=				_re_checkpoint.findall(lowerCamelCase_       )

		for checkpoint in checkpoints:
			# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
			# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
			a									=				checkpoint

			# verify the checkpoint name corresponds to the checkpoint link
			a									=				f'https://huggingface.co/{ckpt_name}'
			if ckpt_link == ckpt_link_from_name:
				a									=				True
				break

		a									=				config_class.__name__
		if not checkpoint_found and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
			configs_without_checkpoint.append(lowerCamelCase_       )

	if len(lowerCamelCase_       ) > 0:
		a									=				"\n".join(sorted(lowerCamelCase_       )       )
		raise ValueError(f'The following configurations don\'t contain any valid checkpoint:\n{message}'       )


if __name__ == "__main__":
		check_config_docstrings_have_checkpoints()






"""simple docstring"""







import math
import sys

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							int ):
						"""simple docstring"""






						if number != int(lowerCamelCase_ ):
												raise ValueError("the value of input must be a natural number" )
						if number < 0:
												raise ValueError("the value of input must not be a negative number" )
						if number == 0:
												return 1
						snake_case   :			List[str]						    = [-1] * (number + 1)
						snake_case   :			str						    = 0
						for i in range(1     ,		number + 1 ):
												snake_case   :			Tuple						    = sys.maxsize
												snake_case   :			Optional[Any]						    = int(math.sqrt(lowerCamelCase_ ) )
												for j in range(1     ,		root + 1 ):
																		snake_case   :			List[str]						    = 1 + answers[i - (j**2)]
																		snake_case   :			List[str]						    = min(lowerCamelCase_     ,		lowerCamelCase_ )
												snake_case   :			Dict						    = answer
						return answers[number]


if __name__ == "__main__":
			import doctest

			doctest.testmod()



