





import os
from collections.abc import Iterator



def A_	(		A__ = "."				)  ->		Iterator[str]:
       for dir_path, dir_names, filenames in os.walk(A__				):
              a__						:	Dict =				[d for d in dir_names if d != 'scripts' and d[0] not in '._']
              for filename in filenames:
                     if filename == "__init__.py":
                            continue
                     if os.path.splitext(A__				)[1] in (".py", ".ipynb"):
                            yield os.path.join(A__		,      A__				).lstrip('./'				)



def A_	(		A__				)  ->		List[str]:
       return F'{i * "  "}*' if i else "\n##"



def A_	(		A__		,      A__				)  ->		str:
       a__						:	Any =				old_path.split(os.sep				)
       for i, new_part in enumerate(new_path.split(os.sep				)				):
              if (i + 1 > len(A__				) or old_parts[i] != new_part) and new_part:
                     print(F'{md_prefix(A__				)} {new_part.replace("_"		,      " "				).title()}'				)
       return new_path



def A_	(		A__ = "."				)  ->		None:
       a__						:	Optional[Any] =				''
       for filepath in sorted(good_file_paths(A__				)				):
              a__ ,							a__						:	Union[str, Any] =				os.path.split(A__				)
              if filepath != old_path:
                     a__						:	Tuple =				print_path(A__		,      A__				)
              a__						:	Optional[int] =				(filepath.count(os.sep				) + 1) if filepath else 0
              a__						:	Any =				F'{filepath}/{filename}'.replace(' '		,      '%20'				)
              a__						:	List[Any] =				os.path.splitext(filename.replace('_'		,      ' '				).title()				)[0]
              print(F'{md_prefix(A__				)} [{filename}]({url})'				)


if __name__ == "__main__":
    print_directory_md(""".""")









from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


lowercase      :       List[Any]									=  {
    """configuration_nllb_moe""": [
        """NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """NllbMoeConfig""",
    ]
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowercase      :       Dict									=  [
        """NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST""",
        """NllbMoeForConditionalGeneration""",
        """NllbMoeModel""",
        """NllbMoePreTrainedModel""",
        """NllbMoeTop2Router""",
        """NllbMoeSparseMLP""",
    ]


if TYPE_CHECKING:
    from .configuration_nllb_moe import (
        NLLB_MOE_PRETRAINED_CONFIG_ARCHIVE_MAP,
        NllbMoeConfig,
    )

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_nllb_moe import (
            NLLB_MOE_PRETRAINED_MODEL_ARCHIVE_LIST,
            NllbMoeForConditionalGeneration,
            NllbMoeModel,
            NllbMoePreTrainedModel,
            NllbMoeSparseMLP,
            NllbMoeTopaRouter,
        )


else:
    import sys

    lowercase      :       List[Any]									=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


