from __future__ import annotations

from dataclasses import dataclass
import torch


@dataclass(frozen=True, slots=True)
class EmbeddingBank:
    ids: tuple[str, ...]
    feats: torch.Tensor  # (N, D) normalized


@dataclass(frozen=True, slots=True)
class LabelSetBank:
    label_set_hash: str
    name: str
    domains: EmbeddingBank
    labels_by_domain: dict[str, EmbeddingBank]  # domain_id -> bank