{
  "sources": [
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/README.md",
      "quote": "| Gaussian filter + plain tables | real | 532.39 | +2.83 se 0.04 |"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/gates.py",
      "quote": "for seed in (10000, 10001, 10002):"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/real.py",
      "quote": "            for _ in range(min(dt - 1, 12)):          # fully silent steps\n                v += SIG2\n                _, m, v = trunc(m, v, lo, hi)"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/evalpol.py",
      "quote": "        self.tabs = [(T['A0'], T['B0']), (T['A1'], T['B1']), (T['A2'], T['B2'])]"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/replica2.py",
      "quote": "def clampf(f):\n    return 0.0 if f < 0.0 else (MAXF if f > MAXF else f)"
    },
    {
      "url": "https://raw.githubusercontent.com/gtmcknight/amm-sim/4812a6382311624e1506aca131ca35c378f930d9/research/solved/pol_mid.json",
      "quote": "{\"A0\": [[-24.262, -23.739, -23.248, -22.778, -22.369, -22.027, -21.629, -21.294, -20.977, -20.657, -20.382, -20.128, -19.851], [-24.243, -23.719, -23.227, -22.758, -22.353, -22.012"
    }
  ]
}