spaCy/spacy/vocab.pyi

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from typing import (
Callable,
Iterator,
Optional,
Union,
Tuple,
List,
Dict,
Any,
)
from thinc.types import Floats1d, FloatsXd
from . import Language
from .strings import StringStore
from .lexeme import Lexeme
from .lookups import Lookups
from .tokens import Doc, Span
from pathlib import Path
def create_vocab(
lang: Language, defaults: Any, vectors_name: Optional[str] = ...
) -> Vocab: ...
class Vocab:
def __init__(
self,
lex_attr_getters: Optional[Dict[str, Callable[[str], Any]]] = ...,
strings: Optional[Union[List[str], StringStore]] = ...,
lookups: Optional[Lookups] = ...,
oov_prob: float = ...,
vectors_name: Optional[str] = ...,
writing_system: Dict[str, Any] = ...,
get_noun_chunks: Optional[Callable[[Union[Doc, Span]], Iterator[Span]]] = ...,
) -> None: ...
@property
def lang(self) -> Language: ...
def __len__(self) -> int: ...
def add_flag(
self, flag_getter: Callable[[str], bool], flag_id: int = ...
) -> int: ...
def __contains__(self, key: str) -> bool: ...
def __iter__(self) -> Iterator[Lexeme]: ...
def __getitem__(self, id_or_string: Union[str, int]) -> Lexeme: ...
@property
def vectors_length(self) -> int: ...
def reset_vectors(
self, *, width: Optional[int] = ..., shape: Optional[int] = ...
) -> None: ...
def prune_vectors(self, nr_row: int, batch_size: int = ...) -> Dict[str, float]: ...
def get_vector(
self,
orth: Union[int, str],
minn: Optional[int] = ...,
maxn: Optional[int] = ...,
) -> FloatsXd: ...
def set_vector(self, orth: Union[int, str], vector: Floats1d) -> None: ...
def has_vector(self, orth: Union[int, str]) -> bool: ...
lookups: Lookups
def to_disk(
self, path: Union[str, Path], *, exclude: Union[List[str], Tuple[str]] = ...
) -> None: ...
def from_disk(
self, path: Union[str, Path], *, exclude: Union[List[str], Tuple[str]] = ...
) -> Vocab: ...
def to_bytes(self, *, exclude: Union[List[str], Tuple[str]] = ...) -> bytes: ...
def from_bytes(
self, bytes_data: bytes, *, exclude: Union[List[str], Tuple[str]] = ...
) -> Vocab: ...
def pickle_vocab(vocab: Vocab) -> Any: ...
def unpickle_vocab(
sstore: StringStore,
vectors: Any,
morphology: Any,
data_dir: Any,
lex_attr_getters: Any,
lookups: Any,
get_noun_chunks: Any,
) -> Vocab: ...