spaCy/spacy/matcher/dependencymatcher.pyi

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from typing import Any, Callable, Dict, List, Optional, Tuple, Union
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from ..tokens.doc import Doc
from ..tokens.span import Span
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from ..vocab import Vocab
from .matcher import Matcher
class DependencyMatcher:
"""Match dependency parse tree based on pattern rules."""
_patterns: Dict[str, List[Any]]
_raw_patterns: Dict[str, List[Any]]
_tokens_to_key: Dict[str, List[Any]]
_root: Dict[str, List[Any]]
_tree: Dict[str, List[Any]]
_callbacks: Dict[
Any, Callable[[DependencyMatcher, Doc, int, List[Tuple[int, List[int]]]], Any]
]
_ops: Dict[str, Any]
vocab: Vocab
_matcher: Matcher
def __init__(self, vocab: Vocab, *, validate: bool = ...) -> None: ...
def __reduce__(
self,
) -> Tuple[
Callable[
[Vocab, Dict[str, Any], Dict[str, Callable[..., Any]]], DependencyMatcher
],
Tuple[
Vocab,
Dict[str, List[Any]],
Dict[
str,
Callable[
[DependencyMatcher, Doc, int, List[Tuple[int, List[int]]]], Any
],
],
],
None,
None,
]: ...
def __len__(self) -> int: ...
def __contains__(self, key: Union[str, int]) -> bool: ...
def add(
self,
key: Union[str, int],
patterns: List[List[Dict[str, Any]]],
*,
on_match: Optional[
Callable[[DependencyMatcher, Doc, int, List[Tuple[int, List[int]]]], Any]
] = ...
) -> None: ...
def has_key(self, key: Union[str, int]) -> bool: ...
def get(
self, key: Union[str, int], default: Optional[Any] = ...
) -> Tuple[
Optional[
Callable[[DependencyMatcher, Doc, int, List[Tuple[int, List[int]]]], Any]
],
List[List[Dict[str, Any]]],
]: ...
def remove(self, key: Union[str, int]) -> None: ...
def __call__(self, doclike: Union[Doc, Span]) -> List[Tuple[int, List[int]]]: ...
def unpickle_matcher(
vocab: Vocab, patterns: Dict[str, Any], callbacks: Dict[str, Callable[..., Any]]
) -> DependencyMatcher: ...