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, _unused_object: Any, lex_attr_getters: Any, lookups: Any, get_noun_chunks: Any, ) -> Vocab: ...