from __future__ import annotations
import os
import random
import numpy as np

def set_seed(seed: int) -> None:
    random.seed(seed)
    np.random.seed(seed)
    os.environ["PYTHONHASHSEED"] = str(seed)
    try:
        import torch
        torch.manual_seed(seed)
        torch.cuda.manual_seed_all(seed)
    except Exception:
        pass

def count_params(module) -> int:
    return sum(p.numel() for p in module.parameters())

def fmt_bytes(n: int) -> str:
    for unit in ["B","KB","MB","GB","TB"]:
        if n < 1024:
            return f"{n:.1f}{unit}"
        n /= 1024
    return f"{n:.1f}PB"