



'''simple docstring'''



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
lowerCAmelCase_     :       str								=						'src/transformers'


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

lowerCAmelCase_     :       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)`
lowerCAmelCase_     :       int								=						re.compile('\[(.+?)\]\((https://huggingface\.co/.+?)\)')


lowerCAmelCase_     :       List[Any]								=						{
    'CLIPConfigMixin',
    'DecisionTransformerConfigMixin',
    'EncoderDecoderConfigMixin',
    'RagConfigMixin',
    'SpeechEncoderDecoderConfigMixin',
    'VisionEncoderDecoderConfigMixin',
    'VisionTextDualEncoderConfigMixin',
}
def 					UpperCAmelCase   (						):
							SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			[]

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

														# source code of `config_class`
														SCREAMING_SNAKE_CASE					:      int     					=			inspect.getsource(A				)
														SCREAMING_SNAKE_CASE					:      Optional[int]     					=			_re_checkpoint.findall(A				)

														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')`
																					SCREAMING_SNAKE_CASE					,SCREAMING_SNAKE_CASE					:      Union[str, Any]     					=			checkpoint

																					# verify the checkpoint name corresponds to the checkpoint link
																					SCREAMING_SNAKE_CASE					:      Any     					=			F"""https://huggingface.co/{ckpt_name}"""
																					if ckpt_link == ckpt_link_from_name:
																												SCREAMING_SNAKE_CASE					:      int     					=			True
																												break

														SCREAMING_SNAKE_CASE					:      Any     					=			config_class.__name__
														if not checkpoint_found and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
																					configs_without_checkpoint.append(A				)

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


if __name__ == "__main__":
							check_config_docstrings_have_checkpoints()









'''simple docstring'''



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


try:
							if not (is_transformers_available() and is_torch_available()):
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							from ...utils.dummy_torch_and_transformers_objects import (
							    ImageTextPipelineOutput,
							    UniDiffuserPipeline,
							)
else:
							from .modeling_text_decoder import UniDiffuserTextDecoder
							from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
							from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline




