spaCy/spacy/matcher/matcher.pyi

43 lines
1.4 KiB
Python

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: ...