chaos.py

1import numpy as np2import zlib3from typing import List45def chaos(grid: np.ndarray) -> float:6    raw = grid.tobytes()7    if len(raw) == 0:8        return 0.09    compressed = zlib.compress(raw)10    return len(compressed) / len(raw)1112def temporal_chaos(grids: List[np.ndarray]) -> float:13    if len(grids) < 2:14        return 0.015    diffs = [np.mean(grids[i] != grids[i - 1]) for i in range(1, len(grids))]16    return float(np.mean(diffs))