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__     						=			'src/transformers'


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

lowerCAmelCase__     						=			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__     						=			re.compile('\[(.+?)\]\((https://huggingface\.co/.+?)\)')


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






def 				__lowerCamelCase		(						):
       lowerCAmelCase__					     = []

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

              # source code of `config_class`
              lowerCAmelCase__					     = inspect.getsource(lowerCAmelCase__     )
              lowerCAmelCase__					     = _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')`
                     lowerCAmelCase__     , lowerCAmelCase__					     = checkpoint

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

              lowerCAmelCase__					     = 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:
              lowerCAmelCase__					     = '\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__     						=			{
    'configuration_x_clip': [
        'XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'XCLIPConfig',
        'XCLIPTextConfig',
        'XCLIPVisionConfig',
    ],
    'processing_x_clip': ['XCLIPProcessor'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			[
        'XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST',
        'XCLIPModel',
        'XCLIPPreTrainedModel',
        'XCLIPTextModel',
        'XCLIPVisionModel',
    ]

if TYPE_CHECKING:
    from .configuration_x_clip import (
        XCLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
        XCLIPConfig,
        XCLIPTextConfig,
        XCLIPVisionConfig,
    )
    from .processing_x_clip import XCLIPProcessor

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_x_clip import (
            XCLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
            XCLIPModel,
            XCLIPPreTrainedModel,
            XCLIPTextModel,
            XCLIPVisionModel,
        )

else:
    import sys

    lowerCAmelCase__     						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
