from __future__ import annotations

import json
import random
from pathlib import Path
from typing import Any

import numpy as np


def seed_everything(seed: int) -> None:
    random.seed(seed)
    np.random.seed(seed)
    try:
        import torch

        torch.manual_seed(seed)
        torch.cuda.manual_seed_all(seed)
        torch.backends.cudnn.benchmark = True
    except Exception:
        pass


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


def write_json(obj: dict[str, Any], path: str | Path) -> None:
    path = Path(path)
    path.parent.mkdir(parents=True, exist_ok=True)
    with path.open("w", encoding="utf-8") as f:
        json.dump(obj, f, indent=2)


def count_parameters(model: Any) -> int:
    return sum(p.numel() for p in model.parameters() if p.requires_grad)


def get_device(name: str):
    import torch

    if name.startswith("cuda") and torch.cuda.is_available():
        return torch.device(name)
    return torch.device("cpu")