mirror of
https://github.com/explosion/spaCy.git
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30cf9d6a05
* Improve typing hints for Matcher.__call__ * Add typing hints for DependencyMatcher * Add typing hints to underscore extensions * Update Doc.tensor type (requires numpy 1.21) * Fix typing hints for Language.component decorator * Use generic np.ndarray type in Doc to avoid numpy version update * Fix mypy errors * Fix cyclic import caused by Underscore typing hints * Use Literal type from spacy.compat * Update matcher.pyi import format Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com> Co-authored-by: Sofie Van Landeghem <svlandeg@users.noreply.github.com>
55 lines
1.7 KiB
Python
55 lines
1.7 KiB
Python
from typing import Any, List, Dict, Tuple, Optional, Callable, Union
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from typing import Iterator, Iterable, overload
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from ..compat import Literal
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from ..vocab import Vocab
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from ..tokens import Doc, Span
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class Matcher:
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def __init__(self, vocab: Vocab, validate: bool = ...) -> None: ...
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def __reduce__(self) -> Any: ...
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def __len__(self) -> int: ...
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def __contains__(self, key: str) -> bool: ...
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def add(
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self,
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key: Union[str, int],
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patterns: List[List[Dict[str, Any]]],
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*,
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on_match: Optional[
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Callable[[Matcher, Doc, int, List[Tuple[Any, ...]]], Any]
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] = ...,
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greedy: Optional[str] = ...
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) -> None: ...
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def remove(self, key: str) -> None: ...
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def has_key(self, key: Union[str, int]) -> bool: ...
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def get(
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self, key: Union[str, int], default: Optional[Any] = ...
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) -> Tuple[Optional[Callable[[Any], Any]], List[List[Dict[Any, Any]]]]: ...
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def pipe(
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self,
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docs: Iterable[Tuple[Doc, Any]],
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batch_size: int = ...,
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return_matches: bool = ...,
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as_tuples: bool = ...,
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) -> Union[
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Iterator[Tuple[Tuple[Doc, Any], Any]], Iterator[Tuple[Doc, Any]], Iterator[Doc]
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]: ...
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@overload
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def __call__(
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self,
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doclike: Union[Doc, Span],
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*,
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as_spans: Literal[False] = ...,
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allow_missing: bool = ...,
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with_alignments: bool = ...
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) -> List[Tuple[int, int, int]]: ...
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@overload
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def __call__(
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self,
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doclike: Union[Doc, Span],
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*,
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as_spans: Literal[True],
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allow_missing: bool = ...,
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with_alignments: bool = ...
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) -> List[Span]: ...
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def _normalize_key(self, key: Any) -> Any: ...
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