Add game-simulation package with multi-run balance testing, fix stalled-pipeline trap
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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>
This commit is contained in:
2026-04-26 06:11:26 -04:00
parent 283c7c7932
commit 102e05c8ba
51 changed files with 4294 additions and 132 deletions
@@ -0,0 +1,113 @@
import type { SimulationMetrics } from '../strategies/types';
export type TrackedMetric = 'revenue' | 'subscribers' | 'developers'
| 'bestModelCapability' | 'reputation' | 'totalFlops';
const TRACKED_METRICS: TrackedMetric[] = [
'revenue', 'subscribers', 'developers',
'bestModelCapability', 'reputation', 'totalFlops',
];
export interface StagnationAlert {
metric: TrackedMetric;
startTick: number;
endTick: number;
durationTicks: number;
stuckValue: number;
era: string;
}
export interface ExponentialAlert {
metric: TrackedMetric;
tick: number;
growthRate: number;
consecutiveSamples: number;
}
export interface GrowthRateResult {
stagnations: StagnationAlert[];
exponentialAlerts: ExponentialAlert[];
}
function getMetricValue(m: SimulationMetrics, metric: TrackedMetric): number {
return m[metric] as number;
}
export function analyzeGrowthRates(
metrics: SimulationMetrics[],
stagnationWindowSamples = 20,
stagnationThreshold = 0.01,
): GrowthRateResult {
const stagnations: StagnationAlert[] = [];
const exponentialAlerts: ExponentialAlert[] = [];
for (const metric of TRACKED_METRICS) {
const growthRates: number[] = [];
for (let i = 1; i < metrics.length; i++) {
const prev = getMetricValue(metrics[i - 1], metric);
const curr = getMetricValue(metrics[i], metric);
if (prev > 0) {
growthRates.push((curr - prev) / prev);
} else {
growthRates.push(curr > 0 ? 1 : 0);
}
}
let stagnationStart: number | null = null;
let flatCount = 0;
for (let i = 0; i < growthRates.length; i++) {
if (Math.abs(growthRates[i]) < stagnationThreshold) {
if (stagnationStart === null) stagnationStart = i;
flatCount++;
} else {
if (flatCount >= stagnationWindowSamples && stagnationStart !== null) {
const startIdx = stagnationStart + 1;
const endIdx = i + 1;
stagnations.push({
metric,
startTick: metrics[startIdx]?.tick ?? 0,
endTick: metrics[endIdx]?.tick ?? metrics[metrics.length - 1]?.tick ?? 0,
durationTicks: (metrics[endIdx]?.tick ?? 0) - (metrics[startIdx]?.tick ?? 0),
stuckValue: getMetricValue(metrics[startIdx], metric),
era: metrics[startIdx]?.era ?? 'unknown',
});
}
stagnationStart = null;
flatCount = 0;
}
}
if (flatCount >= stagnationWindowSamples && stagnationStart !== null) {
const startIdx = stagnationStart + 1;
stagnations.push({
metric,
startTick: metrics[startIdx]?.tick ?? 0,
endTick: metrics[metrics.length - 1]?.tick ?? 0,
durationTicks: (metrics[metrics.length - 1]?.tick ?? 0) - (metrics[startIdx]?.tick ?? 0),
stuckValue: getMetricValue(metrics[startIdx], metric),
era: metrics[startIdx]?.era ?? 'unknown',
});
}
let expCount = 0;
for (let i = 0; i < growthRates.length; i++) {
if (growthRates[i] > 0.10) {
expCount++;
if (expCount >= 5) {
exponentialAlerts.push({
metric,
tick: metrics[i + 1]?.tick ?? 0,
growthRate: growthRates[i],
consecutiveSamples: expCount,
});
}
} else {
expCount = 0;
}
}
}
return { stagnations, exponentialAlerts };
}