spaCy/spacy/matcher/matcher.pyi

from typing import Any, List, Dict, Tuple, Optional, Callable, Union, Iterator, Iterable
from ..vocab import Vocab
from ..tokens import Doc, Span

class Matcher:
    def __init__(self, vocab: Vocab, validate: bool = ...) -> None: ...
    def __reduce__(self) -> Any: ...
    def __len__(self) -> int: ...
    def __contains__(self, key: str) -> bool: ...
    def add(
        self,
        key: Union[str, int],
        patterns: List[List[Dict[str, Any]]],
        *,
        on_match: Optional[
            Callable[[Matcher, Doc, int, List[Tuple[Any, ...]]], Any]
        ] = ...,
        greedy: Optional[str] = ...
    ) -> None: ...
    def remove(self, key: str) -> None: ...
    def has_key(self, key: Union[str, int]) -> bool: ...
    def get(
        self, key: Union[str, int], default: Optional[Any] = ...
    ) -> Tuple[Optional[Callable[[Any], Any]], List[List[Dict[Any, Any]]]]: ...
    def pipe(
        self,
        docs: Iterable[Tuple[Doc, Any]],
        batch_size: int = ...,
        return_matches: bool = ...,
        as_tuples: bool = ...,
    ) -> Union[
        Iterator[Tuple[Tuple[Doc, Any], Any]], Iterator[Tuple[Doc, Any]], Iterator[Doc]
    ]: ...
    def __call__(
        self,
        doclike: Union[Doc, Span],
        *,
        as_spans: bool = ...,
        allow_missing: bool = ...,
        with_alignments: bool = ...
    ) -> Union[List[Tuple[int, int, int]], List[Span]]: ...
    def _normalize_key(self, key: Any) -> Any: ...