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            =		'src/transformers'


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

_UpperCAmelCase            =		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            =		re.compile("""\[(.+?)\]\((https://huggingface\.co/.+?)\)""")


_UpperCAmelCase            =		{
    'CLIPConfigMixin',
    'DecisionTransformerConfigMixin',
    'EncoderDecoderConfigMixin',
    'RagConfigMixin',
    'SpeechEncoderDecoderConfigMixin',
    'VisionEncoderDecoderConfigMixin',
    'VisionTextDualEncoderConfigMixin',
}




def     UpperCamelCase						(	):
		'''simple docstring'''




		A_		:    Any         =				[]

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

				# source code of `config_class`
				A_		:    Dict         =				inspect.getsource(__UpperCAmelCase     )
				A_		:    Any         =				_re_checkpoint.findall(__UpperCAmelCase     )

				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_       ,      A_		:    Optional[Any]         =				checkpoint

						# verify the checkpoint name corresponds to the checkpoint link
						A_		:    Optional[int]         =				f'''https://huggingface.co/{ckpt_name}'''
						if ckpt_link == ckpt_link_from_name:
								A_		:    Optional[Any]         =				True
								break

				A_		:    int         =				config_class.__name__
				if not checkpoint_found and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
						configs_without_checkpoint.append(__UpperCAmelCase     )

		if len(__UpperCAmelCase     ) > 0:
				A_		:    Union[str, Any]         =				'\n'.join(sorted(__UpperCAmelCase     )     )
				raise ValueError(f'''The following configurations don\'t contain any valid checkpoint:\n{message}'''     )


if __name__ == "__main__":
	check_config_docstrings_have_checkpoints()


from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
	if not (is_transformers_available() and is_torch_available() and is_transformers_version(""">=""", """4.25.0""")):
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
	from .pipeline_unclip import UnCLIPPipeline
	from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
	from .text_proj import UnCLIPTextProjModel






