from __future__ import annotations

import random
from pathlib import Path
from typing import Any

import numpy as np
import torch
import yaml


def load_config(path: str | Path) -> dict[str, Any]:
    with open(path, encoding="utf-8") as f:
        return yaml.safe_load(f)


def ensure_dir(path: str | Path) -> Path:
    p = Path(path)
    p.mkdir(parents=True, exist_ok=True)
    return p


def seed_everything(seed: int) -> None:
    random.seed(seed)
    np.random.seed(seed)
    torch.manual_seed(seed)
    if torch.cuda.is_available():
        torch.cuda.manual_seed_all(seed)


def select_device(name: str | None = None) -> torch.device:
    if name and name != "auto":
        return torch.device(name)
    return torch.device("cuda" if torch.cuda.is_available() else "cpu")