vaporetto.pyi

from collections.abc import Iterable
from collections.abc import Iterator

class Token:
    def end(self) -> int: ...
    def n_tags(self) -> int: ...
    def start(self) -> int: ...
    def surface(self) -> str: ...
    def tag(self, index: int) -> str | None: ...

class TokenIterator(Iterator[Token]):
    def __next__(self) -> Token: ...

class TokenList(Iterable[Token]):
    def __getitem__(self, key: int) -> Token: ...
    def __iter__(self) -> TokenIterator: ...
    def __len__(self) -> int: ...

class Vaporetto:
    def __init__(
        self,
        model: bytes,
        predict_tags: bool = False,
        wsconst: str = '',
        norm: bool = True,
    ) -> None: ...
    @staticmethod
    def create_from_kytea_model(
        model: bytes, wsconst: str = '', norm: bool = True
    ) -> Vaporetto: ...
    def tokenize(self, text: str) -> TokenList: ...
    def tokenize_to_string(self, text: str) -> str: ...