# king-2 — Throughput (numba)

**Lever:** faster generation → fewer `deadline_hit`s → more trained tokens under the wall → often better final score.

**Code base:** goethe-style Numba-accelerated generator (numpy + numba; numba is allowlisted).

**Key ideas:**
- JIT AR / chaotic / seasonal / hold-run kernels
- Prefetch chunk producer (`_CHUNK=2048`)
- Fixed-length emit fast path
- Calendar `seasonal_focus`, heteroskedastic noise, AR2/integrated seasonal overlays

**Score with:**
```bash
cascade verify ./king-2 --chain-toml chain.toml
cascade score ./king-2 --pool-dir ./my-heldout --device cuda --train-hours 0.5 --n-windows 256
```