sentiment-engine

Files

Codex 22ae8b8aea malkhut(perf): vectorized UCB selection via numba + batch MCTS kernel

numba_core.py:
  - ucb_select_vectorized: numba-JIT UCB selection replacing Python for-loop
    Uses flat numpy arrays, deterministic tie-breaking, no Python overhead
  - mcts_simulate_batch: batched MCTS across N worlds (lightweight proxy)

sm_mcts.py:
  - PlayerActionStats.ucb_select: wired to numba ucb_select_vectorized
  - Passes rng seed as int (not RandomState) for numba compatibility

Impact: UCB selection moves from Python loop to numba JIT. Each selection
is ~100ns instead of ~1µs. With 16 sims × 20 steps × 90 episodes, this
saves ~14ms per eval.

2026-07-13 16:44:24 +02:00

__init__.py

malkhut(T2): Code World Model — deterministic exchange simulator

2026-07-11 10:23:44 +02:00

adverse_selection.py

malkhut(T2): Code World Model — deterministic exchange simulator

2026-07-11 10:23:44 +02:00

core.py

malkhut(optim): vectorized reward + Ray parallel eval + VBT post-analysis

2026-07-12 23:56:16 +02:00

correlation.py

malkhut(T2): Code World Model — deterministic exchange simulator