22 lines
1.8 KiB
JavaScript
22 lines
1.8 KiB
JavaScript
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'use strict';
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const {assert,loadAppLogic}=require('./helpers/app-source');
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const AppLogic=loadAppLogic(),samples=[],storeCoefficients=[];
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for(let seed=1;seed<=5000;seed++){
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const level=1+(seed%10),baseScore=20+level*level*4,meta={id:`B${seed}`,seed,generatorVersion:5},
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state={paths:[{startGate:0,endGate:1,cells:[[0,0],[0,1],[1,1],[1,2]]}]},
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reward=AppLogic.deterministicBoardReward(baseScore,{worldSeed:0x51a7f00d,meta,state});
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assert(reward.coefficient>=.8&&reward.coefficient<=1.2,'Board coefficient escaped its bound');
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samples.push(reward.award);
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const prices=[700,1400,1800,2400].map(base=>AppLogic.deterministicStorePrice(base,0x51a7f00d,seed%97,Math.floor(seed/97),1));
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assert(prices.every(entry=>entry.coefficient===prices[0].coefficient),'Products in one store received different coefficients');
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storeCoefficients.push(prices[0].coefficient);
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}
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const mean=values=>values.reduce((sum,value)=>sum+value,0)/values.length,
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rewardMean=mean(samples),storeMean=mean(storeCoefficients);
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assert(storeMean>.99&&storeMean<1.01,'Store coefficient distribution is materially biased');
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assert(rewardMean>100&&rewardMean<230,'Reward rebalance left the measured progression band');
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assert(700<1400&&1400<1800&&1800<2400,'Cosmetics/lens/field price ladder is invalid');
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assert(1400/rewardMean>5&&1400/rewardMean<15,'Score lens is either trivial or effectively mandatory');
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assert(2400/rewardMean<24,'MAX field is outside a meaningful attainable score-sink range');
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assert(AppLogic.deterministicBoardReward(100,{meta:{id:'B1',seed:1,generatorVersion:5},state:{paths:[]},scoreLensCount:100}).lensMultiplier===1.5,'Repeated lenses create unbounded score inflation');
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console.log(`Economy simulation passed: mean reward ${rewardMean.toFixed(2)}, mean coefficient ${storeMean.toFixed(4)}`);
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