



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
_lowercase     =		"src/transformers"


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

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


_lowercase     =		{
    "CLIPConfigMixin",
    "DecisionTransformerConfigMixin",
    "EncoderDecoderConfigMixin",
    "RagConfigMixin",
    "SpeechEncoderDecoderConfigMixin",
    "VisionEncoderDecoderConfigMixin",
    "VisionTextDualEncoderConfigMixin",
}



def 		lowerCAmelCase__    (					)->  int:
    A__		 =					[]

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

        # source code of `config_class`
        A__		 =					inspect.getsource(UpperCamelCase_	)
        A__		 =					_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__		 =					checkpoint

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

        A__		 =					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__		 =					'''\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()





def 		lowerCAmelCase__    (					UpperCamelCase_				:       str ,       UpperCamelCase_				:       str	)->  float:

    def get_matched_characters(UpperCamelCase_				:       str ,       UpperCamelCase_				:       str	) -> str:
        A__		 =					[]
        A__		 =					min(len(_stra	) ,       len(_stra	)	) // 2
        for i, l in enumerate(_stra	):
            A__		 =					int(max(0 ,       i - limit	)	)
            A__		 =					int(min(i + limit + 1 ,       len(_stra	)	)	)
            if l in _stra[left:right]:
                matched.append(UpperCamelCase_	)
                A__		 =					f"{_stra[0:_stra.index(UpperCamelCase_	)]} {_stra[_stra.index(UpperCamelCase_	) + 1:]}"

        return "".join(UpperCamelCase_	)

    # matching characters
    A__		 =					get_matched_characters(UpperCamelCase_ ,       UpperCamelCase_	)
    A__		 =					get_matched_characters(UpperCamelCase_ ,       UpperCamelCase_	)
    A__		 =					len(UpperCamelCase_	)

    # transposition
    A__		 =					(
        len([(ca, ca) for ca, ca in zip(UpperCamelCase_ ,       UpperCamelCase_	) if ca != ca]	) // 2
    )

    if not match_count:
        A__		 =					0.0
    else:
        A__		 =					(
            1
            / 3
            * (
                match_count / len(UpperCamelCase_	)
                + match_count / len(UpperCamelCase_	)
                + (match_count - transpositions) / match_count
            )
        )

    # common prefix up to 4 characters
    A__		 =					0
    for ca, ca in zip(stra[:4] ,       stra[:4]	):
        if ca == ca:
            prefix_len += 1
        else:
            break

    return jaro + 0.1 * prefix_len * (1 - jaro)


if __name__ == "__main__":
   import doctest

   doctest.testmod()
   print(jaro_winkler("hello", "world"))
