Add game-simulation package with multi-run balance testing, fix stalled-pipeline trap

Adds a full simulation harness (game-simulation package) with greedy/random strategies, 36-metric diagnostics, multi-run orchestration via child processes, and a statistical interpreter. Includes 2.3x engine performance optimizations (research bonus caching, per-DC dirty tracking, reduced allocations in tick pipeline, single-pass loops). Fixes a critical balance bug where training pipelines stalled on insufficient VRAM would permanently block training slots — the engine never re-checked stalled pipelines, and the greedy strategy didn't pre-check VRAM requirements. This caused 20-25% of seeds to get stuck in Scale-up era. All three fixes (engine un-stalling, strategy VRAM pre-check, stalled pipeline cancellation) bring pass rate from 75% to 100% across 20 random seeds. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-04-26 06:11:26 -04:00
parent 283c7c7932
commit 102e05c8ba
51 changed files with 4294 additions and 132 deletions
@@ -0,0 +1,10 @@
+import type { GameState, OwnedDataset } from '@ai-tycoon/shared';
+
+export function purchaseDataset(state: GameState, dataset: OwnedDataset, cost: number): boolean {
+  if (state.economy.money < cost) return false;
+
+  state.economy.money -= cost;
+  state.data.ownedDatasets.push(dataset);
+  state.data.totalTrainingTokens += dataset.sizeTokens;
+  return true;
+}