spaCy/spacy/vocab.pyi
Adriane Boyd cf85b81f34
Remove names for vectors (#12243)
* Remove names for vectors

Named vectors are basically a carry-over from v2 and aren't used for
anything.

* Format
2023-02-08 14:37:42 +01:00

79 lines
2.6 KiB
Python

from typing import Callable, Iterator, Optional, Union, List, Dict
from typing import Any, Iterable
from thinc.types import Floats1d, FloatsXd
from . import Language
from .strings import StringStore
from .lexeme import Lexeme
from .lookups import Lookups
from .morphology import Morphology
from .tokens import Doc, Span
from .vectors import Vectors
from pathlib import Path
def create_vocab(
lang: Optional[str],
defaults: Any,
) -> Vocab: ...
class Vocab:
cfg: Dict[str, Any]
get_noun_chunks: Optional[Callable[[Union[Doc, Span]], Iterator[Span]]]
lookups: Lookups
morphology: Morphology
strings: StringStore
vectors: Vectors
writing_system: Dict[str, Any]
def __init__(
self,
lex_attr_getters: Optional[Dict[str, Callable[[str], Any]]] = ...,
strings: Optional[Union[List[str], StringStore]] = ...,
lookups: Optional[Lookups] = ...,
oov_prob: float = ...,
writing_system: Dict[str, Any] = ...,
get_noun_chunks: Optional[Callable[[Union[Doc, Span]], Iterator[Span]]] = ...,
) -> None: ...
@property
def lang(self) -> str: ...
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 deduplicate_vectors(self) -> 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: ...
def to_disk(
self, path: Union[str, Path], *, exclude: Iterable[str] = ...
) -> None: ...
def from_disk(
self, path: Union[str, Path], *, exclude: Iterable[str] = ...
) -> Vocab: ...
def to_bytes(self, *, exclude: Iterable[str] = ...) -> bytes: ...
def from_bytes(
self, bytes_data: bytes, *, exclude: Iterable[str] = ...
) -> Vocab: ...
def pickle_vocab(vocab: Vocab) -> Any: ...
def unpickle_vocab(
sstore: StringStore,
vectors: Any,
morphology: Any,
lex_attr_getters: Any,
lookups: Any,
get_noun_chunks: Any,
) -> Vocab: ...