


import inspect
import re

from transformers.utils import direct_transformers_import


# 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
A       :		str    =   """src/transformers"""


# This is to make sure the transformers module imported is the one in the repo.
A       :		Tuple    =   direct_transformers_import(PATH_TO_TRANSFORMERS)

A       :		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)`
A       :		Optional[Any]    =   re.compile(r'\[(.+?)\]\((https://huggingface\.co/.+?)\)')


A       :		List[str]    =   {
    """DecisionTransformerConfig""",
    """EncoderDecoderConfig""",
    """MusicgenConfig""",
    """RagConfig""",
    """SpeechEncoderDecoderConfig""",
    """TimmBackboneConfig""",
    """VisionEncoderDecoderConfig""",
    """VisionTextDualEncoderConfig""",
    """LlamaConfig""",
}






def  UpperCamelCase					(	__magic_name__     :							Optional[Any]     )   ->  List[str]:
		"""simple docstring"""




		lowercase__     			=		None

		# source code of `config_class`
		lowercase__     			=		inspect.getsource(_lowerCAmelCase     )
		lowercase__     			=		_re_checkpoint.findall(_lowerCAmelCase     )

		# Each `checkpoint` is a tuple of a checkpoint name and a checkpoint link.
		# For example, `('bert-base-uncased', 'https://huggingface.co/bert-base-uncased')`
		for ckpt_name, ckpt_link in checkpoints:
				# allow the link to end with `/`
				if ckpt_link.endswith("""/"""     ):
						lowercase__     			=		ckpt_link[:-1]

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

		return checkpoint






def  UpperCamelCase					(	)   ->  List[str]:
		"""simple docstring"""




		lowercase__     			=		[]

		for config_class in list(CONFIG_MAPPING.values()     ):
				# Skip deprecated models
				if "models.deprecated" in config_class.__module__:
						continue
				lowercase__     			=		get_checkpoint_from_config_class(_lowerCAmelCase     )

				lowercase__     			=		config_class.__name__
				if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
						configs_without_checkpoint.append(_lowerCAmelCase     )

		if len(_lowerCAmelCase     ) > 0:
				lowercase__     			=		"\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()








from typing import TYPE_CHECKING

from ....utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCamelCase       :     Optional[int]   =     {"""configuration_mmbt""": ["""MMBTConfig"""]}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    __lowerCamelCase       :     List[Any]   =     ["""MMBTForClassification""", """MMBTModel""", """ModalEmbeddings"""]


if TYPE_CHECKING:
    from .configuration_mmbt import MMBTConfig

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_mmbt import MMBTForClassification, MMBTModel, ModalEmbeddings

else:
    import sys

    __lowerCamelCase       :     int   =     _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)
