


'''simple docstring'''







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
lowerCAmelCase    :     Union[str, Any]					=						"""src/transformers"""


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

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


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






def 			lowercase				(_A					):







       """simple docstring"""







       _lowerCAmelCase    :							Tuple   			=       None

       # source code of `config_class`
       _lowerCAmelCase    :							Any   			=       inspect.getsource(_A					)
       _lowerCAmelCase    :							List[str]   			=       _re_checkpoint.findall(_A					)

       # 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('/'					):
                     _lowerCAmelCase    :							Optional[Any]   			=       ckpt_link[:-1]

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

       return checkpoint






def 			lowercase				():







       """simple docstring"""







       _lowerCAmelCase    :							Dict   			=       []

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

              _lowerCAmelCase    :							Optional[Any]   			=       config_class.__name__
              if checkpoint is None and name not in CONFIG_CLASSES_TO_IGNORE_FOR_DOCSTRING_CHECKPOINT_CHECK:
                     configs_without_checkpoint.append(_A					)

       if len(_A					) > 0:
              _lowerCAmelCase    :							List[str]   			=       '\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 typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowerCAmelCase    :     Any					=						{
    """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    :     Optional[Any]					=						[
           """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    :     Dict					=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

