mirror of https://github.com/explosion/spaCy.git
38 lines
1.0 KiB
Python
38 lines
1.0 KiB
Python
from typing import List, Tuple, Union, Optional, Callable, Any, Dict, overload
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from ..compat import Literal
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from .matcher import Matcher
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from ..vocab import Vocab
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from ..tokens import Doc, Span
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class PhraseMatcher:
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def __init__(
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self, vocab: Vocab, attr: Optional[Union[int, str]], validate: bool = ...
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) -> 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: str,
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docs: 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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) -> None: ...
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def remove(self, key: str) -> None: ...
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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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) -> 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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) -> List[Span]: ...
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