mirror of https://github.com/explosion/spaCy.git
63 lines
1.4 KiB
Python
63 lines
1.4 KiB
Python
from typing import (
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Union,
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Any,
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)
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from thinc.types import Floats1d
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from .tokens import Doc, Span, Token
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from .vocab import Vocab
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class Lexeme:
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def __init__(self, vocab: Vocab, orth: int) -> None: ...
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def __richcmp__(self, other: Lexeme, op: int) -> bool: ...
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def __hash__(self) -> int: ...
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def set_attrs(self, **attrs: Any) -> None: ...
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def set_flag(self, flag_id: int, value: bool) -> None: ...
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def check_flag(self, flag_id: int) -> bool: ...
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def similarity(self, other: Union[Doc, Span, Token, Lexeme]) -> float: ...
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@property
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def has_vector(self) -> bool: ...
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@property
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def vector_norm(self) -> float: ...
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vector: Floats1d
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rank: int
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sentiment: float
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@property
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def orth_(self) -> str: ...
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@property
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def text(self) -> str: ...
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orth: int
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lower: int
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norm: int
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shape: int
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prefix: int
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suffix: int
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cluster: int
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lang: int
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prob: float
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lower_: str
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norm_: str
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shape_: str
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prefix_: str
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suffix_: str
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lang_: str
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flags: int
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@property
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def is_oov(self) -> bool: ...
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is_stop: bool
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is_alpha: bool
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is_ascii: bool
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is_digit: bool
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is_lower: bool
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is_upper: bool
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is_title: bool
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is_punct: bool
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is_space: bool
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is_bracket: bool
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is_quote: bool
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is_left_punct: bool
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is_right_punct: bool
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is_currency: bool
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like_url: bool
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like_num: bool
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like_email: bool
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