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{ unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './kaggriculture_engine_loader.ts';\nimport { choosePastureAnimal } from './kaggriculture_livestock_portfolio.ts';\n\nexport const AUTOLAB_CORE_VERSION = 'KAG_AUTOLAB_CORE_V23_LEGAL_SELF_MEMORY_MAIN';\nconst REF_DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst REF_ALIASES:Record={\n 'lena_optimist.py':'ledger_lena.py',\n 'silas_strategist.py':'slotter_silas.py',\n 'rookie_rosa.py':'rotation_rosa.py',\n 'harvester_hana.py':'homestead_hana.py',\n 'market_mateo.py':'melon_mateo.py',\n};\nfunction canonicalRefName(name:string){return REF_ALIASES[name]??name}\nconst CHECK_DAYS=new Set([0,3,6,9,12,15,18,21,24,27,29]);\nlet runtimePromise:Promise|null=null;\n\nfunction avg(xs:number[]){return xs.length?xs.reduce((a,b)=>a+b,0)/xs.length:0}\nfunction profilePublic(f:any){let crops=0,pastures=0,animals=0;const cropMix:any={},animalMix:any={};for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;if(t.kind==='PASTURE')pastures++;if(t.animal){animals++;animalMix[t.animal]=(animalMix[t.animal]??0)+1}const c=t.crop??t.plant??(t.kind==='PLANT'?t.type:null);if(c){crops++;cropMix[c]=(cropMix[c]??0)+1}}return{cash:+(f?.money??0),land:(f?.unlocked_quadrants??[]).length,crops,pastures,animals,cropMix,animalMix}}\nconst LEGAL_MARKET_ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nfunction legalObserverFeature(o:any){const me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]),prices:any={},inventory:any={};for(const item of LEGAL_MARKET_ITEMS){prices[item]=Number(o.market?.prices?.[item]??0);inventory[item]=Number(o.market?.inventory?.[item]??0)}return{step:+o.step,day:+o.day,hour:+o.hour,me,opp,market:{prices,inventory},shops:[...(o.town?.unlocked_shops??[])]}}\nfunction gapDiagnostics(games:any[],perspective:'A'|'OURS'){\n const days=[0,3,6,9,12,15,18,21,24,27,29];\n const trajectory=days.map(day=>{const rows=games.map(g=>(g.timeline??[]).find((x:any)=>x.day===day)).filter(Boolean);const gaps=rows.map((x:any)=>perspective==='A'?x.a.cash-x.b.cash:x.ours.cash-x.ref.cash);return{day,gapMean:avg(gaps),gapMin:gaps.length?Math.min(...gaps):0,gapMax:gaps.length?Math.max(...gaps):0}});\n const windows=trajectory.slice(1).map((x,i)=>({fromDay:trajectory[i].day,toDay:x.day,gapChange:x.gapMean-trajectory[i].gapMean}));\n const largestGapGrowth=[...windows].sort((a,b)=>Math.abs(b.gapChange)-Math.abs(a.gapChange))[0]??null;\n return{trajectory,windows,largestGapGrowth};\n}\nasync function ensureRuntime(){\n if(runtimePromise)return runtimePromise;\n runtimePromise=(async()=>{\n const E=await loadOfficialKaggricultureEngine();\n const rr=await fetch(REF_DATASET);if(!rr.ok)throw new Error(`reference dataset HTTP ${rr.status}`);\n const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\n const py=await loadPyodide();\n py.runPython(`import json,copy\\n_REG={}\\n_SRC={}\\n_D=None\\n_BASE=None`);\n const loaded=new Set();\n async function loadRef(name:string){if(loaded.has(name))return;if(!z[name])throw new Error(`missing reference agent ${name}`);py.globals.set('nm',name);py.globals.set('src',strFromU8(z[name]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`);loaded.add(name)}\n await loadRef('rancher_rita.py');\n py.globals.set('src',strFromU8(z['rancher_rita.py']));\n py.runPython(`_d={}\\nexec(src,_d)\\n_D=_d\\n_BASE=copy.deepcopy(_d['POLICY'])\\ndef reset_ref(n):\\n _n={}\\n exec(_SRC[n],_n)\\n _REG[n]=_n['agent']\\ndef call_ref(n,p): return json.dumps(_REG[n](json.loads(p)))\\ndef call_dyn(p): return json.dumps(_D['agent'](json.loads(p)))\\ndef reset_dyn(variant):\\n _D['POLICY'].clear();_D['POLICY'].update(copy.deepcopy(_BASE));_D['POLICY']['animal_target']={'COW':0,'SHEEP':0}\\n if variant in ('MIX11_FERT','M40_FERT','M50_FERT','M60_FERT','ADAPT_V1') or variant.startswith('DP_'):_D['POLICY']['collect_fertilizer']=True\\n if variant in ('M40_FERT','M50_FERT','M60_FERT','ADAPT_V1') or variant.startswith('DP_'):\\n m={'M40_FERT':0.4,'M50_FERT':0.5,'M60_FERT':0.6,'ADAPT_V1':0.6}.get(variant,0.6);_D['POLICY']['crops']=['WHEAT','MELON'];_D['POLICY']['crop_share']={'WHEAT':1.0-m,'MELON':m};_D['POLICY']['plant_until']={'WHEAT':25,'MELON':16};_D['POLICY']['sell_order']=['MELON','MILK','WOOL','WHEAT'];_D['POLICY']['price_floor']={'MELON':80};_D['POLICY']['sell_chunk']=12\\ndef set_crop_policy(m):\\n m=max(0.2,min(0.8,float(m)));_D['POLICY']['crops']=['WHEAT','MELON'];_D['POLICY']['crop_share']={'WHEAT':1.0-m,'MELON':m}\\ndef set_wheat_only():\\n _D['POLICY']['crops']=['WHEAT'];_D['POLICY']['crop_share']={'WHEAT':1.0}\\ndef set_crop_mix3(w,m,s):\\n _D['POLICY']['crops']=['WHEAT','MELON','STRAWBERRY'];_D['POLICY']['crop_share']={'WHEAT':float(w),'MELON':float(m),'STRAWBERRY':float(s)}\\ndef set_herd(c,s,o):\\n _D['POLICY']['animal_target']={'COW':int(c),'SHEEP':int(s)};_D['POLICY']['animals']=json.loads(o)\\ndef set_ops(h,b):\\n _D['POLICY']['hands']=int(h);_D['POLICY']['build'][0]['target']=int(b);_D['POLICY']['land_after_animals']=10\\ndef set_build(b):\\n _D['POLICY']['build'][0]['target']=int(b)\\ndef set_base_build():\\n _D['POLICY']['build'][0]['target']=int(_BASE['build'][0]['target'])\\ndef set_land_after(n):\\n _D['POLICY']['land_after_animals']=int(n)`);\n return{E,py,z,loadRef,resetRef:py.globals.get('reset_ref'),callRef:py.globals.get('call_ref'),callDyn:py.globals.get('call_dyn'),resetDyn:py.globals.get('reset_dyn'),setCrop:py.globals.get('set_crop_policy'),setWheatOnly:py.globals.get('set_wheat_only'),setMix3:py.globals.get('set_crop_mix3'),setHerd:py.globals.get('set_herd'),setOps:py.globals.get('set_ops'),setBuild:py.globals.get('set_build'),setBaseBuild:py.globals.get('set_base_build'),setLand:py.globals.get('set_land_after')};\n })();\n return runtimePromise;\n}\nfunction own(o:any,a:string){const me=+o.player,f=o.farms[me];let n=+(o.private?.shed?.[a]??0);for(const i of o.private?.inventories??[])n+=+(i?.[a]??0);for(const row of f.tiles??[])for(const t of row??[])if(t&&typeof t==='object'&&t.animal===a)n++;return n}\nfunction enforceAnimals(o:any,act:any,t:any){const x:any={COW:own(o,'COW'),SHEEP:own(o,'SHEEP')},market:any[]=[];for(const m of act?.market??[]){if(Array.isArray(m)&&m[0]==='BUY_ANIMAL'&&(m[1]==='COW'||m[1]==='SHEEP')){const a=m[1],q=Math.max(0,Math.min(+m[2]||1,t[a]-x[a]));if(q){market.push(['BUY_ANIMAL',a,q]);x[a]+=q}}else market.push(m)}return{...act,market}}\nfunction addFertSell(o:any,act:any){const q=+(o.private?.shed?.FERTILIZER??0),p=+(o.market?.prices?.FERTILIZER??0);if(q>0&&p>=60&&(act.market?.length??0)<10)return{...act,market:[...(act.market??[]),['SELL','FERTILIZER',Math.min(20,q)]]};return act}\nfunction inventoryQty(o:any,item:string){let q=+(o.private?.shed?.[item]??0);for(const inv of o.private?.inventories??[])q+=+(inv?.[item]??0);return q}\nfunction addValueLiquidation(o:any,act:any,variant:string){const day=+o.day,hour=+o.hour,target=variant==='MIX11_LIQ21'?21:variant==='MIX11_LIQ24'?24:-1;if(hour!==0||day!==target||(act.market?.length??0)>=10)return act;const already:any={};for(const m of act.market??[])if(Array.isArray(m)&&m[0]==='SELL')already[String(m[1])]=(already[String(m[1])]??0)+(+m[2]||0);const items=['STRAWBERRY','MELON','MILK','WOOL','WHEAT','FERTILIZER'];const ranked=items.map(item=>{const q=Math.max(0,inventoryQty(o,item)-(already[item]??0)),p=+(o.market?.prices?.[item]??0);return{item,q,p,value:q*p}}).filter(x=>x.q>0&&x.p>0).sort((a,b)=>b.value-a.value);if(!ranked.length)return act;const x=ranked[0],q=Math.min(12,x.q,Math.max(1,Math.ceil(x.q*0.25)));return{...act,market:[...(act.market??[]),['SELL',x.item,q]]}}\nfunction actionSummary(act:any){const out:any={marketOps:0,sellOps:0,sellQty:0,sellByItem:{},buyOps:0,buyQty:0,buyByItem:{},hands:Array.isArray(act?.hands)?act.hands.length:0,farmer:Array.isArray(act?.farmer)?String(act.farmer[0]??''):''};for(const m of act?.market??[]){if(!Array.isArray(m))continue;out.marketOps++;const op=String(m[0]??''),item=String(m[1]??'UNKNOWN');const q=Number(m[2]??1)||0;if(op==='SELL'){out.sellOps++;out.sellQty+=q;out.sellByItem[item]=(out.sellByItem[item]??0)+q}else if(op.startsWith('BUY')){out.buyOps++;out.buyQty+=q;out.buyByItem[item]=(out.buyByItem[item]??0)+q}}return out}\nfunction accumulateAction(dst:any,s:any){dst.marketOps=(dst.marketOps??0)+s.marketOps;dst.sellOps=(dst.sellOps??0)+s.sellOps;dst.sellQty=(dst.sellQty??0)+s.sellQty;dst.buyOps=(dst.buyOps??0)+s.buyOps;dst.buyQty=(dst.buyQty??0)+s.buyQty;dst.hands=(dst.hands??0)+s.hands;dst.farmer=dst.farmer??{};if(s.farmer)dst.farmer[s.farmer]=(dst.farmer[s.farmer]??0)+1;dst.sellByItem=dst.sellByItem??{};for(const [k,v] of Object.entries(s.sellByItem??{}))dst.sellByItem[k]=(dst.sellByItem[k]??0)+Number(v);dst.buyByItem=dst.buyByItem??{};for(const [k,v] of Object.entries(s.buyByItem??{}))dst.buyByItem[k]=(dst.buyByItem[k]??0)+Number(v);return dst}\nasync function playRefVsRef(a:string,b:string,seed:number,aSeat:0|1){a=canonicalRefName(a);b=canonicalRefName(b);const R=await ensureRuntime();await R.loadRef(a);await R.loadRef(b);R.resetRef(a);R.resetRef(b);const cfg=R.E.state.resolveConfig({seed});let s=R.E.state.initGameState(2,cfg,seed),errors=0;const timeline:any[]=[],actionTimeline:any[]=[],actionWindows:any={};while(!s.done){if(+s.hour===0&&CHECK_DAYS.has(+s.day)){const fa=profilePublic(s.farms[aSeat]),fb=profilePublic(s.farms[1-aSeat]);timeline.push({day:+s.day,a:fa,b:fb,shops:[...(s.town?.unlocked_shops??[])],market:{WHEAT:+s.market.prices.WHEAT,MELON:+s.market.prices.MELON,MILK:+s.market.prices.MILK,WOOL:+s.market.prices.WOOL,STRAWBERRY:+s.market.prices.STRAWBERRY}})}const acts:any[]=[];for(const pid of [0,1] as const){const o=observationFor(s,pid),name=pid===aSeat?a:b;try{acts[pid]=JSON.parse(String(R.callRef(name,JSON.stringify(o))))}catch(e){errors++;acts[pid]={farmer:['PASS'],hands:[],market:[]}}}if(+s.hour===0&&CHECK_DAYS.has(+s.day))actionTimeline.push({day:+s.day,a:actionSummary(acts[aSeat]),b:actionSummary(acts[1-aSeat])});s=R.E.interpreter.step(s,acts,cfg)}const aBank=+s.farms[aSeat].money,bBank=+s.farms[1-aSeat].money;return{seed,aSeat,aBank,bBank,margin:aBank-bBank,winner:aBank>bBank?'A':aBank=9?'H':'N';if(variant==='DP_W')return day>=9?'W':'N';if(variant==='DP_B')return day>=9?'B':'N';if(variant==='DP_H_PULSE')return day>=9&&day<12?'H':'N';if(variant==='DP_B_PULSE')return day>=9&&day<12?'B':'N';if(variant==='DP_COND'||variant==='DP_COND_PULSE'){const counts=(n:string)=>shops.filter((x:string)=>x===n).length;const bounded=variant==='DP_COND_PULSE';if(day>=6&&(!bounded||day<9)&&counts('FARMERS_MARKET')>=2&&opp.animals-me.animals>=3)return 'B';if(day>=9&&(!bounded||day<12)&&opp.land-me.land>=1&&opp.crops-me.crops>=8&&opp.animals-me.animals>=5){if(counts('PET_CAFE')>=1&&counts('FARMERS_MARKET')===0&&(counts('ICE_CREAM_SHOP')>=1||counts('PIZZA_SHOP')>=1))return 'H';return 'W'}}return 'N'}\nfunction adaptiveCropDecision(o:any){const day=+o.day,me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]);const om=Number(opp.cropMix?.MELON??0),ow=Number(opp.cropMix?.WHEAT??0),rel=om+ow,cashGap=me.cash-opp.cash,cropGap=opp.crops-me.crops;if(day<6||rel<6)return{share:0.60,mode:'BASE',reason:'INSUFFICIENT_SIGNAL',cashGap,cropGap,oppMelonShare:rel?om/rel:0};const melonShare=om/rel,wheatShare=ow/rel;if(melonShare>=0.58)return{share:0.40,mode:'ANTI_GLUT_MELON',reason:'OPP_MELON_CONCENTRATION',cashGap,cropGap,oppMelonShare:melonShare};if(wheatShare>=0.68)return{share:0.70,mode:'COMPLEMENT_WHEAT_HEAVY',reason:'OPP_WHEAT_CONCENTRATION',cashGap,cropGap,oppMelonShare:melonShare};if(cropGap>=8&&cashGap<=-2500)return{share:0.70,mode:'UPSIDE_CHASE',reason:'BEHIND_CROP_AND_CASH',cashGap,cropGap,oppMelonShare:melonShare};if(cashGap>=3500)return{share:0.50,mode:'LEAD_DE_RISK',reason:'CASH_LEAD',cashGap,cropGap,oppMelonShare:melonShare};return{share:0.60,mode:'BALANCED',reason:'NO_STRONG_SIGNAL',cashGap,cropGap,oppMelonShare:melonShare}}\nfunction ewma(old:number,x:number,a=0.25){return old*(1-a)+x*a}\nfunction cropDistance(a:any,b:any){const ks=new Set([...Object.keys(a??{}),...Object.keys(b??{})]);let s=0,t=0;for(const k of ks){const av=Number(a?.[k]??0),bv=Number(b?.[k]??0);s+=Math.abs(av-bv);t+=Math.max(av,bv)}return t?s/t:0}\nfunction obgInit(){return{observations:0,marketReactive:0.5,expansionRusher:0.5,ourStateAwareness:0.5,adaptability:0.5,prevOpp:null as any,prevUs:null as any,prevMarket:null as any,lastMode:'INIT'}}\nfunction obgUpdate(o:any,g:any){const me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]),m={WHEAT:+o.market?.prices?.WHEAT||0,MELON:+o.market?.prices?.MELON||0,STRAWBERRY:+o.market?.prices?.STRAWBERRY||0};if(g.prevOpp&&g.prevUs&&g.prevMarket){const md=Math.max(...Object.keys(m).map(k=>{const p=Number(g.prevMarket?.[k]??0),n=Number((m as any)[k]??0);return p>0?Math.abs(n-p)/p:0}));const od=cropDistance(opp.cropMix,g.prevOpp.cropMix),ourDelta=cropDistance(me.cropMix,g.prevUs.cropMix)+Math.min(1,Math.abs(me.land-g.prevUs.land)/2),expand=(opp.land>g.prevOpp.land||opp.crops-g.prevOpp.crops>=6||opp.land>me.land||opp.crops-me.crops>=8)?1:0;g.expansionRusher=ewma(g.expansionRusher,expand);if(md>=0.08)g.marketReactive=ewma(g.marketReactive,Math.min(1,od*3));if(ourDelta>=0.12&&md<0.08)g.ourStateAwareness=ewma(g.ourStateAwareness,Math.min(1,od*3));g.adaptability=ewma(g.adaptability,Math.min(1,(od+Math.abs(opp.land-g.prevOpp.land)*0.35)));}g.prevOpp=opp;g.prevUs=me;g.prevMarket=m;g.observations++;return{me,opp,market:m}}\nfunction obgFastDecision(o:any,g:any){const s=obgUpdate(o,g),me=s.me,opp=s.opp,day=+o.day,om=Number(opp.cropMix?.MELON??0),ow=Number(opp.cropMix?.WHEAT??0),rel=om+ow,melonShare=rel?om/rel:0,wheatShare=rel?ow/rel:0,cashGap=me.cash-opp.cash,cropGap=opp.crops-me.crops,landGap=opp.land-me.land;let share=0.60,mode='BALANCED',hands=8,build=Math.max(4,Math.min(16,own(o,'COW')+own(o,'SHEEP')+2));if(rel>=6&&melonShare>=0.58){share=0.40;mode='ANTI_MELON_CONCENTRATION'}else if(rel>=6&&wheatShare>=0.68&&s.market.MELON>=90){share=0.70;mode='COMPLEMENT_WHEAT_HEAVY'}if(day>=6&&(landGap>=1||cropGap>=8)&&g.expansionRusher>=0.45){hands=9;build=Math.max(build,14);mode+='|COUNTER_EXPANSION'}if(cashGap>=4500&&cropGap<=2){share=Math.min(share,0.50);hands=8;mode+='|LEAD_DERISK'}if(cashGap<=-3000&&cropGap>=8&&g.adaptability>=0.35){share=Math.max(share,0.68);hands=9;build=16;mode+='|CHASE'}g.lastMode=mode;return{share,hands,build,mode,profile:{marketReactive:g.marketReactive,expansionRusher:g.expansionRusher,ourStateAwareness:g.ourStateAwareness,adaptability:g.adaptability,observations:g.observations},cashGap,cropGap,landGap,oppMelonShare:melonShare}}\n\nasync function playOurVsRef(variant:string,ref:string,seed:number,ourSeat:0|1,opts:any={}){ref=canonicalRefName(ref);const R=await ensureRuntime();await R.loadRef(ref);R.resetRef(ref);R.resetDyn((variant==='M60_FERT_JIT'||variant==='DEPLOY10'||variant==='HERD4'||variant==='LAND6'||variant==='PHASE3')?'M60_FERT':variant);const cfg=R.E.state.resolveConfig({seed});let s=R.E.state.initGameState(2,cfg,seed),errors=0,tg:any={COW:0,SHEEP:0},comm=false,liqChecks=0,liqApplied=0,liqOpportunityQty=0,jitChecks=0,jitTargetSum=0;const timeline:any[]=[],actionTimeline:any[]=[],dailyActions:any[]=[],legalTrace:any[]=[],obg=obgInit(),obgTrace:any[]=[];const oracle=opts.oracleActionTelemetry==='FULL';let actionDay=-1,dayActsOur:any={},dayActsRef:any={};while(!s.done){if(opts.legalTelemetry==='FULL')legalTrace.push(legalObserverFeature(observationFor(s,ourSeat)));if(+s.hour===0&&CHECK_DAYS.has(+s.day)){timeline.push({day:+s.day,ours:profilePublic(s.farms[ourSeat]),ref:profilePublic(s.farms[1-ourSeat]),shops:[...(s.town?.unlocked_shops??[])],market:{WHEAT:+s.market.prices.WHEAT,MELON:+s.market.prices.MELON,MILK:+s.market.prices.MILK,WOOL:+s.market.prices.WOOL,STRAWBERRY:+s.market.prices.STRAWBERRY}})}const acts:any[]=[];for(const pid of [0,1] as const){const o=observationFor(s,pid);try{if(pid===ourSeat){if(variant.startsWith('DP_')){const owned=own(o,'COW')+own(o,'SHEEP'),mode=deploymentMode(o,variant),h=(mode==='H'||mode==='B')?9:8,b=(mode==='W'||mode==='B')?16:Math.max(4,Math.min(16,owned+2));R.setOps(h,b)}if(variant==='M60_FERT_JIT'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(16,owned+2));R.setBuild(b);jitChecks++;jitTargetSum+=b}if(variant==='PASTURE_RAMP'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(14,owned+2));R.setBuild(b);jitChecks++;jitTargetSum+=b}if(variant==='DEPLOY10'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(14,owned+2));R.setOps(9,b)}if(variant==='ADAPT_V1'&&+o.hour===0){R.setCrop(adaptiveCropDecision(o).share)}if(variant==='EARLY_MELON40'&&+o.hour===0){if(+o.day<6)R.setCrop(0.40);else if(+o.day===6)R.setWheatOnly()}if((variant==='EARLY_BUILD4'||variant==='EARLY_HERD_BUILD4'||variant==='EARLY_HERD_BUILD8')&&+o.hour===0){if(+o.day<6)R.setBuild(variant==='EARLY_HERD_BUILD8'?8:4);else if(+o.day===6)R.setBaseBuild()}if((variant==='LAND6'||variant==='LAND_AFTER6_CLEAN')&&+o.hour===0){R.setLand(6)}if(variant==='PHASE3'&&+o.hour===0&&+o.day>=6){R.setMix3(0.20,0.30,0.50)}if(variant==='PORTFOLIO_D6_244'&&+o.hour===0&&+o.day>=6){R.setMix3(0.20,0.40,0.40)}if(+o.hour===0){const ow={COW:own(o,'COW'),SHEEP:own(o,'SHEEP')};tg={...ow};if(!comm){comm=ow.COW>=1&&ow.SHEEP>=1;if(!comm)tg={COW:Math.max(1,ow.COW),SHEEP:Math.max(1,ow.SHEEP)}}if(comm){const total=ow.COW+ow.SHEEP,c=choosePastureAnimal(o,{cashBuffer:400,strategicWeight:0});if(total<16&&c.choice){const step=variant==='HERD4'?4:2;tg[c.choice]+=Math.min(step,16-total);}R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(c.ranking.map((x:any)=>x.animal).filter((x:string)=>x==='COW'||x==='SHEEP')))}else R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(['SHEEP','COW']))}if((variant==='EARLY_HERD3'||variant==='EARLY_HERD4'||variant==='EARLY_HERD5'||variant==='EARLY_HERD_BUILD4'||variant==='EARLY_HERD_BUILD8')&&+o.hour===0&&+o.day<6){tg={COW:Math.max(variant==='EARLY_HERD3'?2:variant==='EARLY_HERD5'?4:3,own(o,'COW')),SHEEP:Math.max(1,own(o,'SHEEP'))};R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(['COW','SHEEP']))}let a=enforceAnimals(o,JSON.parse(String(R.callDyn(JSON.stringify(o)))),tg);if(variant==='MIX11_FERT'||variant==='M40_FERT'||variant==='M50_FERT'||variant.startsWith('M60_FERT')||variant.startsWith('DP_')||variant==='ADAPT_V1'||variant==='DEPLOY10'||variant==='HERD4'||variant==='LAND6'||variant==='PHASE3')a=addFertSell(o,a);if(variant==='MIX11_LIQ21'||variant==='MIX11_LIQ24'){const target=variant==='MIX11_LIQ21'?21:24;if(+o.hour===0&&+o.day===target){liqChecks++;for(const item of ['STRAWBERRY','MELON','MILK','WOOL','WHEAT','FERTILIZER'])liqOpportunityQty+=inventoryQty(o,item);const before=JSON.stringify(a.market??[]);a=addValueLiquidation(o,a,variant);if(JSON.stringify(a.market??[])!==before)liqApplied++}}acts[pid]=a}else acts[pid]=JSON.parse(String(R.callRef(ref,JSON.stringify(o))))}catch(e){errors++;acts[pid]={farmer:['PASS'],hands:[],market:[]}}}const sd=+s.day;if(oracle){if(actionDay!==sd){if(actionDay>=0)dailyActions.push({day:actionDay,ours:dayActsOur,ref:dayActsRef});actionDay=sd;dayActsOur={};dayActsRef={}}const ourActSummary=actionSummary(acts[ourSeat]),refActSummary=actionSummary(acts[1-ourSeat]);accumulateAction(dayActsOur,ourActSummary);accumulateAction(dayActsRef,refActSummary);if(+s.hour===0&&CHECK_DAYS.has(sd))actionTimeline.push({day:sd,ours:ourActSummary,ref:refActSummary})}if(+s.hour===0&&CHECK_DAYS.has(sd)){const oo=observationFor(s,ourSeat);obgUpdate(oo,obg);obgTrace.push({day:sd,profile:{marketReactive:obg.marketReactive,expansionRusher:obg.expansionRusher,ourStateAwareness:obg.ourStateAwareness,adaptability:obg.adaptability,observations:obg.observations},evidenceState:'HEURISTIC_CORRELATIONAL_UNCALIBRATED'})}s=R.E.interpreter.step(s,acts,cfg)}if(oracle&&actionDay>=0)dailyActions.push({day:actionDay,ours:dayActsOur,ref:dayActsRef});const ourBank=+s.farms[ourSeat].money,refBank=+s.farms[1-ourSeat].money;return{variant,ref,seed,ourSeat,ourBank,refBank,margin:ourBank-refBank,winner:ourBank>refBank?'OURS':ourBankg.winner==='A').length,winsB=games.filter(g=>g.winner==='B').length,ties=games.filter(g=>g.winner==='TIE').length;\n return{kind:jobType,a,b,seeds,episodes:games.length,winsA,winsB,ties,scoreA:(winsA+0.5*ties)/games.length,avgMarginA:avg(games.map(g=>g.margin)),avgBankA:avg(games.map(g=>g.aBank)),avgBankB:avg(games.map(g=>g.bBank)),errors:games.reduce((s,g)=>s+g.errors,0),gap:gapDiagnostics(games,'A'),games};\n }\n if(jobType==='OUR_VS_REFERENCE'){\n const variant=String(payload.variant??'MIX11'),ref=String(payload.ref),seeds=(payload.seeds??[]).map(Number);if(!ref||!seeds.length)throw new Error('OUR_VS_REFERENCE requires ref,seeds');if(!['MIX11','MIX11_FERT','M40_FERT','M50_FERT','M60_FERT','M60_FERT_JIT','MIX11_LIQ21','MIX11_LIQ24','DP_H','DP_W','DP_B','DP_COND','DP_H_PULSE','DP_B_PULSE','DP_COND_PULSE','ADAPT_V1','DEPLOY10','HERD4','LAND6','PHASE3','EARLY_MELON40','EARLY_HERD3','EARLY_HERD4','EARLY_HERD5','EARLY_BUILD4','EARLY_HERD_BUILD4','EARLY_HERD_BUILD8','PASTURE_RAMP','LAND_AFTER6_CLEAN','PORTFOLIO_D6_244'].includes(variant))throw new Error(`unsupported variant ${variant}`);\n const games:any[]=[];const opts={legalTelemetry:String(payload.legalTelemetry??'NONE'),oracleActionTelemetry:String(payload.oracleActionTelemetry??'NONE')};for(const seed of seeds){games.push(await playOurVsRef(variant,ref,seed,0,opts));games.push(await playOurVsRef(variant,ref,seed,1,opts))}\n const wins=games.filter(g=>g.winner==='OURS').length,losses=games.filter(g=>g.winner==='REF').length,ties=games.filter(g=>g.winner==='TIE').length;\n return{kind:jobType,variant,ref,seeds,episodes:games.length,wins,losses,ties,score:(wins+0.5*ties)/games.length,avgMargin:avg(games.map(g=>g.margin)),avgOurBank:avg(games.map(g=>g.ourBank)),avgRefBank:avg(games.map(g=>g.refBank)),errors:games.reduce((s,g)=>s+g.errors,0),gap:gapDiagnostics(games,'OURS'),games};\n }\n throw new Error(`unsupported job_type ${jobType}`);\n}\n\nexport function renderArtifactMarkdown(job:any,result:any){const lines=[`# Kaggriculture Autolab Run`,``,`- Core: ${AUTOLAB_CORE_VERSION}` ,`- Job: ${job.job_id}` ,`- Type: ${job.job_type}` ,`- Evidence: AUTOLAB_COMPUTE_RESULT_NOT_CHAMPION_PROOF`,`- Generated: ${new Date().toISOString()}`,``];if(result.kind==='PUBLIC_CROSSPLAY'){lines.push(`## Public crossplay`,``,`**${result.a} vs ${result.b}** — ${result.winsA}-${result.winsB}-${result.ties}, score A ${(100*result.scoreA).toFixed(1)}%, avg margin A ${result.avgMarginA.toFixed(1)}.`,``,`Largest observed gap-change window: ${JSON.stringify(result.gap.largestGapGrowth)}.`)}else{lines.push(`## Our agent vs reference`,``,`**${result.variant} vs ${result.ref}** — W/L/T ${result.wins}/${result.losses}/${result.ties}, score ${(100*result.score).toFixed(1)}%, avg margin ${result.avgMargin.toFixed(1)}.`,``,`Largest observed gap-change window: ${JSON.stringify(result.gap.largestGapGrowth)}.`)}lines.push(``,`## Guardrails`,``,`This artifact is laboratory evidence only. No Kaggle submission, spend, KYC, token use, or promotion to champion occurred. Public high-tier agents were used as black-box opponents; no non-licensed TRACE content was incorporated.`);return lines.join('\\n')}\n","import { unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './kaggriculture_engine_loader.ts';\nimport { choosePastureAnimal } from './kaggriculture_livestock_portfolio.ts';\n\nexport const AUTOLAB_CORE_VERSION = 'KAG_AUTOLAB_CORE_V23_LEGAL_SELF_MEMORY_MAIN';\nconst REF_DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst REF_ALIASES:Record={\n 'lena_optimist.py':'ledger_lena.py',\n 'silas_strategist.py':'slotter_silas.py',\n 'rookie_rosa.py':'rotation_rosa.py',\n 'harvester_hana.py':'homestead_hana.py',\n 'market_mateo.py':'melon_mateo.py',\n};\nfunction canonicalRefName(name:string){return REF_ALIASES[name]??name}\nconst CHECK_DAYS=new Set([0,3,6,9,12,15,18,21,24,27,29]);\nlet runtimePromise:Promise|null=null;\n\nfunction avg(xs:number[]){return xs.length?xs.reduce((a,b)=>a+b,0)/xs.length:0}\nfunction profilePublic(f:any){let crops=0,pastures=0,animals=0;const cropMix:any={},animalMix:any={};for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;if(t.kind==='PASTURE')pastures++;if(t.animal){animals++;animalMix[t.animal]=(animalMix[t.animal]??0)+1}const c=t.crop??t.plant??(t.kind==='PLANT'?t.type:null);if(c){crops++;cropMix[c]=(cropMix[c]??0)+1}}return{cash:+(f?.money??0),land:(f?.unlocked_quadrants??[]).length,crops,pastures,animals,cropMix,animalMix}}\nconst LEGAL_MARKET_ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nfunction legalObserverFeature(o:any){const me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]),prices:any={},inventory:any={};for(const item of LEGAL_MARKET_ITEMS){prices[item]=Number(o.market?.prices?.[item]??0);inventory[item]=Number(o.market?.inventory?.[item]??0)}return{step:+o.step,day:+o.day,hour:+o.hour,me,opp,market:{prices,inventory},shops:[...(o.town?.unlocked_shops??[])]}}\nfunction gapDiagnostics(games:any[],perspective:'A'|'OURS'){\n const days=[0,3,6,9,12,15,18,21,24,27,29];\n const trajectory=days.map(day=>{const rows=games.map(g=>(g.timeline??[]).find((x:any)=>x.day===day)).filter(Boolean);const gaps=rows.map((x:any)=>perspective==='A'?x.a.cash-x.b.cash:x.ours.cash-x.ref.cash);return{day,gapMean:avg(gaps),gapMin:gaps.length?Math.min(...gaps):0,gapMax:gaps.length?Math.max(...gaps):0}});\n const windows=trajectory.slice(1).map((x,i)=>({fromDay:trajectory[i].day,toDay:x.day,gapChange:x.gapMean-trajectory[i].gapMean}));\n const largestGapGrowth=[...windows].sort((a,b)=>Math.abs(b.gapChange)-Math.abs(a.gapChange))[0]??null;\n return{trajectory,windows,largestGapGrowth};\n}\nasync function ensureRuntime(){\n if(runtimePromise)return runtimePromise;\n runtimePromise=(async()=>{\n const E=await loadOfficialKaggricultureEngine();\n const rr=await fetch(REF_DATASET);if(!rr.ok)throw new Error(`reference dataset HTTP ${rr.status}`);\n const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\n const py=await loadPyodide();\n py.runPython(`import json,copy\\n_REG={}\\n_SRC={}\\n_D=None\\n_BASE=None`);\n const loaded=new Set();\n async function loadRef(name:string){if(loaded.has(name))return;if(!z[name])throw new Error(`missing reference agent ${name}`);py.globals.set('nm',name);py.globals.set('src',strFromU8(z[name]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`);loaded.add(name)}\n await loadRef('rancher_rita.py');\n py.globals.set('src',strFromU8(z['rancher_rita.py']));\n py.runPython(`_d={}\\nexec(src,_d)\\n_D=_d\\n_BASE=copy.deepcopy(_d['POLICY'])\\ndef reset_ref(n):\\n _n={}\\n exec(_SRC[n],_n)\\n _REG[n]=_n['agent']\\ndef call_ref(n,p): return json.dumps(_REG[n](json.loads(p)))\\ndef call_dyn(p): return json.dumps(_D['agent'](json.loads(p)))\\ndef reset_dyn(variant):\\n _D['POLICY'].clear();_D['POLICY'].update(copy.deepcopy(_BASE));_D['POLICY']['animal_target']={'COW':0,'SHEEP':0}\\n if variant in ('MIX11_FERT','M40_FERT','M50_FERT','M60_FERT','ADAPT_V1') or variant.startswith('DP_'):_D['POLICY']['collect_fertilizer']=True\\n if variant in ('M40_FERT','M50_FERT','M60_FERT','ADAPT_V1') or variant.startswith('DP_'):\\n m={'M40_FERT':0.4,'M50_FERT':0.5,'M60_FERT':0.6,'ADAPT_V1':0.6}.get(variant,0.6);_D['POLICY']['crops']=['WHEAT','MELON'];_D['POLICY']['crop_share']={'WHEAT':1.0-m,'MELON':m};_D['POLICY']['plant_until']={'WHEAT':25,'MELON':16};_D['POLICY']['sell_order']=['MELON','MILK','WOOL','WHEAT'];_D['POLICY']['price_floor']={'MELON':80};_D['POLICY']['sell_chunk']=12\\ndef set_crop_policy(m):\\n m=max(0.2,min(0.8,float(m)));_D['POLICY']['crops']=['WHEAT','MELON'];_D['POLICY']['crop_share']={'WHEAT':1.0-m,'MELON':m}\\ndef set_wheat_only():\\n _D['POLICY']['crops']=['WHEAT'];_D['POLICY']['crop_share']={'WHEAT':1.0}\\ndef set_crop_mix3(w,m,s):\\n _D['POLICY']['crops']=['WHEAT','MELON','STRAWBERRY'];_D['POLICY']['crop_share']={'WHEAT':float(w),'MELON':float(m),'STRAWBERRY':float(s)}\\ndef set_herd(c,s,o):\\n _D['POLICY']['animal_target']={'COW':int(c),'SHEEP':int(s)};_D['POLICY']['animals']=json.loads(o)\\ndef set_ops(h,b):\\n _D['POLICY']['hands']=int(h);_D['POLICY']['build'][0]['target']=int(b);_D['POLICY']['land_after_animals']=10\\ndef set_build(b):\\n _D['POLICY']['build'][0]['target']=int(b)\\ndef set_base_build():\\n _D['POLICY']['build'][0]['target']=int(_BASE['build'][0]['target'])\\ndef set_land_after(n):\\n _D['POLICY']['land_after_animals']=int(n)`);\n return{E,py,z,loadRef,resetRef:py.globals.get('reset_ref'),callRef:py.globals.get('call_ref'),callDyn:py.globals.get('call_dyn'),resetDyn:py.globals.get('reset_dyn'),setCrop:py.globals.get('set_crop_policy'),setWheatOnly:py.globals.get('set_wheat_only'),setMix3:py.globals.get('set_crop_mix3'),setHerd:py.globals.get('set_herd'),setOps:py.globals.get('set_ops'),setBuild:py.globals.get('set_build'),setBaseBuild:py.globals.get('set_base_build'),setLand:py.globals.get('set_land_after')};\n })();\n return runtimePromise;\n}\nfunction own(o:any,a:string){const me=+o.player,f=o.farms[me];let n=+(o.private?.shed?.[a]??0);for(const i of o.private?.inventories??[])n+=+(i?.[a]??0);for(const row of f.tiles??[])for(const t of row??[])if(t&&typeof t==='object'&&t.animal===a)n++;return n}\nfunction enforceAnimals(o:any,act:any,t:any){const x:any={COW:own(o,'COW'),SHEEP:own(o,'SHEEP')},market:any[]=[];for(const m of act?.market??[]){if(Array.isArray(m)&&m[0]==='BUY_ANIMAL'&&(m[1]==='COW'||m[1]==='SHEEP')){const a=m[1],q=Math.max(0,Math.min(+m[2]||1,t[a]-x[a]));if(q){market.push(['BUY_ANIMAL',a,q]);x[a]+=q}}else market.push(m)}return{...act,market}}\nfunction addFertSell(o:any,act:any){const q=+(o.private?.shed?.FERTILIZER??0),p=+(o.market?.prices?.FERTILIZER??0);if(q>0&&p>=60&&(act.market?.length??0)<10)return{...act,market:[...(act.market??[]),['SELL','FERTILIZER',Math.min(20,q)]]};return act}\nfunction inventoryQty(o:any,item:string){let q=+(o.private?.shed?.[item]??0);for(const inv of o.private?.inventories??[])q+=+(inv?.[item]??0);return q}\nfunction addValueLiquidation(o:any,act:any,variant:string){const day=+o.day,hour=+o.hour,target=variant==='MIX11_LIQ21'?21:variant==='MIX11_LIQ24'?24:-1;if(hour!==0||day!==target||(act.market?.length??0)>=10)return act;const already:any={};for(const m of act.market??[])if(Array.isArray(m)&&m[0]==='SELL')already[String(m[1])]=(already[String(m[1])]??0)+(+m[2]||0);const items=['STRAWBERRY','MELON','MILK','WOOL','WHEAT','FERTILIZER'];const ranked=items.map(item=>{const q=Math.max(0,inventoryQty(o,item)-(already[item]??0)),p=+(o.market?.prices?.[item]??0);return{item,q,p,value:q*p}}).filter(x=>x.q>0&&x.p>0).sort((a,b)=>b.value-a.value);if(!ranked.length)return act;const x=ranked[0],q=Math.min(12,x.q,Math.max(1,Math.ceil(x.q*0.25)));return{...act,market:[...(act.market??[]),['SELL',x.item,q]]}}\nfunction actionSummary(act:any){const out:any={marketOps:0,sellOps:0,sellQty:0,sellByItem:{},buyOps:0,buyQty:0,buyByItem:{},hands:Array.isArray(act?.hands)?act.hands.length:0,farmer:Array.isArray(act?.farmer)?String(act.farmer[0]??''):''};for(const m of act?.market??[]){if(!Array.isArray(m))continue;out.marketOps++;const op=String(m[0]??''),item=String(m[1]??'UNKNOWN');const q=Number(m[2]??1)||0;if(op==='SELL'){out.sellOps++;out.sellQty+=q;out.sellByItem[item]=(out.sellByItem[item]??0)+q}else if(op.startsWith('BUY')){out.buyOps++;out.buyQty+=q;out.buyByItem[item]=(out.buyByItem[item]??0)+q}}return out}\nfunction selfMarketFlow(act:any){const flow:any={};for(const m of act?.market??[]){if(!Array.isArray(m))continue;const op=String(m[0]??''),item=String(m[1]??''),q=Number(m[2]??1)||0;if(!LEGAL_MARKET_ITEMS.includes(item)||q<=0)continue;if(op==='SELL')flow[item]=(flow[item]??0)+q;else if(op.startsWith('BUY'))flow[item]=(flow[item]??0)-q}return flow}\nfunction accumulateAction(dst:any,s:any){dst.marketOps=(dst.marketOps??0)+s.marketOps;dst.sellOps=(dst.sellOps??0)+s.sellOps;dst.sellQty=(dst.sellQty??0)+s.sellQty;dst.buyOps=(dst.buyOps??0)+s.buyOps;dst.buyQty=(dst.buyQty??0)+s.buyQty;dst.hands=(dst.hands??0)+s.hands;dst.farmer=dst.farmer??{};if(s.farmer)dst.farmer[s.farmer]=(dst.farmer[s.farmer]??0)+1;dst.sellByItem=dst.sellByItem??{};for(const [k,v] of Object.entries(s.sellByItem??{}))dst.sellByItem[k]=(dst.sellByItem[k]??0)+Number(v);dst.buyByItem=dst.buyByItem??{};for(const [k,v] of Object.entries(s.buyByItem??{}))dst.buyByItem[k]=(dst.buyByItem[k]??0)+Number(v);return dst}\nasync function playRefVsRef(a:string,b:string,seed:number,aSeat:0|1){a=canonicalRefName(a);b=canonicalRefName(b);const R=await ensureRuntime();await R.loadRef(a);await R.loadRef(b);R.resetRef(a);R.resetRef(b);const cfg=R.E.state.resolveConfig({seed});let s=R.E.state.initGameState(2,cfg,seed),errors=0;const timeline:any[]=[],actionTimeline:any[]=[],actionWindows:any={};while(!s.done){if(+s.hour===0&&CHECK_DAYS.has(+s.day)){const fa=profilePublic(s.farms[aSeat]),fb=profilePublic(s.farms[1-aSeat]);timeline.push({day:+s.day,a:fa,b:fb,shops:[...(s.town?.unlocked_shops??[])],market:{WHEAT:+s.market.prices.WHEAT,MELON:+s.market.prices.MELON,MILK:+s.market.prices.MILK,WOOL:+s.market.prices.WOOL,STRAWBERRY:+s.market.prices.STRAWBERRY}})}const acts:any[]=[];for(const pid of [0,1] as const){const o=observationFor(s,pid),name=pid===aSeat?a:b;try{acts[pid]=JSON.parse(String(R.callRef(name,JSON.stringify(o))))}catch(e){errors++;acts[pid]={farmer:['PASS'],hands:[],market:[]}}}if(+s.hour===0&&CHECK_DAYS.has(+s.day))actionTimeline.push({day:+s.day,a:actionSummary(acts[aSeat]),b:actionSummary(acts[1-aSeat])});s=R.E.interpreter.step(s,acts,cfg)}const aBank=+s.farms[aSeat].money,bBank=+s.farms[1-aSeat].money;return{seed,aSeat,aBank,bBank,margin:aBank-bBank,winner:aBank>bBank?'A':aBank=9?'H':'N';if(variant==='DP_W')return day>=9?'W':'N';if(variant==='DP_B')return day>=9?'B':'N';if(variant==='DP_H_PULSE')return day>=9&&day<12?'H':'N';if(variant==='DP_B_PULSE')return day>=9&&day<12?'B':'N';if(variant==='DP_COND'||variant==='DP_COND_PULSE'){const counts=(n:string)=>shops.filter((x:string)=>x===n).length;const bounded=variant==='DP_COND_PULSE';if(day>=6&&(!bounded||day<9)&&counts('FARMERS_MARKET')>=2&&opp.animals-me.animals>=3)return 'B';if(day>=9&&(!bounded||day<12)&&opp.land-me.land>=1&&opp.crops-me.crops>=8&&opp.animals-me.animals>=5){if(counts('PET_CAFE')>=1&&counts('FARMERS_MARKET')===0&&(counts('ICE_CREAM_SHOP')>=1||counts('PIZZA_SHOP')>=1))return 'H';return 'W'}}return 'N'}\nfunction adaptiveCropDecision(o:any){const day=+o.day,me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]);const om=Number(opp.cropMix?.MELON??0),ow=Number(opp.cropMix?.WHEAT??0),rel=om+ow,cashGap=me.cash-opp.cash,cropGap=opp.crops-me.crops;if(day<6||rel<6)return{share:0.60,mode:'BASE',reason:'INSUFFICIENT_SIGNAL',cashGap,cropGap,oppMelonShare:rel?om/rel:0};const melonShare=om/rel,wheatShare=ow/rel;if(melonShare>=0.58)return{share:0.40,mode:'ANTI_GLUT_MELON',reason:'OPP_MELON_CONCENTRATION',cashGap,cropGap,oppMelonShare:melonShare};if(wheatShare>=0.68)return{share:0.70,mode:'COMPLEMENT_WHEAT_HEAVY',reason:'OPP_WHEAT_CONCENTRATION',cashGap,cropGap,oppMelonShare:melonShare};if(cropGap>=8&&cashGap<=-2500)return{share:0.70,mode:'UPSIDE_CHASE',reason:'BEHIND_CROP_AND_CASH',cashGap,cropGap,oppMelonShare:melonShare};if(cashGap>=3500)return{share:0.50,mode:'LEAD_DE_RISK',reason:'CASH_LEAD',cashGap,cropGap,oppMelonShare:melonShare};return{share:0.60,mode:'BALANCED',reason:'NO_STRONG_SIGNAL',cashGap,cropGap,oppMelonShare:melonShare}}\nfunction ewma(old:number,x:number,a=0.25){return old*(1-a)+x*a}\nfunction cropDistance(a:any,b:any){const ks=new Set([...Object.keys(a??{}),...Object.keys(b??{})]);let s=0,t=0;for(const k of ks){const av=Number(a?.[k]??0),bv=Number(b?.[k]??0);s+=Math.abs(av-bv);t+=Math.max(av,bv)}return t?s/t:0}\nfunction obgInit(){return{observations:0,marketReactive:0.5,expansionRusher:0.5,ourStateAwareness:0.5,adaptability:0.5,prevOpp:null as any,prevUs:null as any,prevMarket:null as any,lastMode:'INIT'}}\nfunction obgUpdate(o:any,g:any){const me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]),m={WHEAT:+o.market?.prices?.WHEAT||0,MELON:+o.market?.prices?.MELON||0,STRAWBERRY:+o.market?.prices?.STRAWBERRY||0};if(g.prevOpp&&g.prevUs&&g.prevMarket){const md=Math.max(...Object.keys(m).map(k=>{const p=Number(g.prevMarket?.[k]??0),n=Number((m as any)[k]??0);return p>0?Math.abs(n-p)/p:0}));const od=cropDistance(opp.cropMix,g.prevOpp.cropMix),ourDelta=cropDistance(me.cropMix,g.prevUs.cropMix)+Math.min(1,Math.abs(me.land-g.prevUs.land)/2),expand=(opp.land>g.prevOpp.land||opp.crops-g.prevOpp.crops>=6||opp.land>me.land||opp.crops-me.crops>=8)?1:0;g.expansionRusher=ewma(g.expansionRusher,expand);if(md>=0.08)g.marketReactive=ewma(g.marketReactive,Math.min(1,od*3));if(ourDelta>=0.12&&md<0.08)g.ourStateAwareness=ewma(g.ourStateAwareness,Math.min(1,od*3));g.adaptability=ewma(g.adaptability,Math.min(1,(od+Math.abs(opp.land-g.prevOpp.land)*0.35)));}g.prevOpp=opp;g.prevUs=me;g.prevMarket=m;g.observations++;return{me,opp,market:m}}\nfunction obgFastDecision(o:any,g:any){const s=obgUpdate(o,g),me=s.me,opp=s.opp,day=+o.day,om=Number(opp.cropMix?.MELON??0),ow=Number(opp.cropMix?.WHEAT??0),rel=om+ow,melonShare=rel?om/rel:0,wheatShare=rel?ow/rel:0,cashGap=me.cash-opp.cash,cropGap=opp.crops-me.crops,landGap=opp.land-me.land;let share=0.60,mode='BALANCED',hands=8,build=Math.max(4,Math.min(16,own(o,'COW')+own(o,'SHEEP')+2));if(rel>=6&&melonShare>=0.58){share=0.40;mode='ANTI_MELON_CONCENTRATION'}else if(rel>=6&&wheatShare>=0.68&&s.market.MELON>=90){share=0.70;mode='COMPLEMENT_WHEAT_HEAVY'}if(day>=6&&(landGap>=1||cropGap>=8)&&g.expansionRusher>=0.45){hands=9;build=Math.max(build,14);mode+='|COUNTER_EXPANSION'}if(cashGap>=4500&&cropGap<=2){share=Math.min(share,0.50);hands=8;mode+='|LEAD_DERISK'}if(cashGap<=-3000&&cropGap>=8&&g.adaptability>=0.35){share=Math.max(share,0.68);hands=9;build=16;mode+='|CHASE'}g.lastMode=mode;return{share,hands,build,mode,profile:{marketReactive:g.marketReactive,expansionRusher:g.expansionRusher,ourStateAwareness:g.ourStateAwareness,adaptability:g.adaptability,observations:g.observations},cashGap,cropGap,landGap,oppMelonShare:melonShare}}\n\nasync function playOurVsRef(variant:string,ref:string,seed:number,ourSeat:0|1,opts:any={}){ref=canonicalRefName(ref);const R=await ensureRuntime();await R.loadRef(ref);R.resetRef(ref);R.resetDyn((variant==='M60_FERT_JIT'||variant==='DEPLOY10'||variant==='HERD4'||variant==='LAND6'||variant==='PHASE3')?'M60_FERT':variant);const cfg=R.E.state.resolveConfig({seed});let s=R.E.state.initGameState(2,cfg,seed),errors=0,tg:any={COW:0,SHEEP:0},comm=false,liqChecks=0,liqApplied=0,liqOpportunityQty=0,jitChecks=0,jitTargetSum=0;const timeline:any[]=[],actionTimeline:any[]=[],dailyActions:any[]=[],legalTrace:any[]=[],obg=obgInit(),obgTrace:any[]=[];const oracle=opts.oracleActionTelemetry==='FULL';let actionDay=-1,dayActsOur:any={},dayActsRef:any={};while(!s.done){if(opts.legalTelemetry==='FULL')legalTrace.push(legalObserverFeature(observationFor(s,ourSeat)));if(+s.hour===0&&CHECK_DAYS.has(+s.day)){timeline.push({day:+s.day,ours:profilePublic(s.farms[ourSeat]),ref:profilePublic(s.farms[1-ourSeat]),shops:[...(s.town?.unlocked_shops??[])],market:{WHEAT:+s.market.prices.WHEAT,MELON:+s.market.prices.MELON,MILK:+s.market.prices.MILK,WOOL:+s.market.prices.WOOL,STRAWBERRY:+s.market.prices.STRAWBERRY}})}const acts:any[]=[];for(const pid of [0,1] as const){const o=observationFor(s,pid);try{if(pid===ourSeat){if(variant.startsWith('DP_')){const owned=own(o,'COW')+own(o,'SHEEP'),mode=deploymentMode(o,variant),h=(mode==='H'||mode==='B')?9:8,b=(mode==='W'||mode==='B')?16:Math.max(4,Math.min(16,owned+2));R.setOps(h,b)}if(variant==='M60_FERT_JIT'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(16,owned+2));R.setBuild(b);jitChecks++;jitTargetSum+=b}if(variant==='PASTURE_RAMP'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(14,owned+2));R.setBuild(b);jitChecks++;jitTargetSum+=b}if(variant==='DEPLOY10'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(14,owned+2));R.setOps(9,b)}if(variant==='ADAPT_V1'&&+o.hour===0){R.setCrop(adaptiveCropDecision(o).share)}if(variant==='EARLY_MELON40'&&+o.hour===0){if(+o.day<6)R.setCrop(0.40);else if(+o.day===6)R.setWheatOnly()}if((variant==='EARLY_BUILD4'||variant==='EARLY_HERD_BUILD4'||variant==='EARLY_HERD_BUILD8')&&+o.hour===0){if(+o.day<6)R.setBuild(variant==='EARLY_HERD_BUILD8'?8:4);else if(+o.day===6)R.setBaseBuild()}if((variant==='LAND6'||variant==='LAND_AFTER6_CLEAN')&&+o.hour===0){R.setLand(6)}if(variant==='PHASE3'&&+o.hour===0&&+o.day>=6){R.setMix3(0.20,0.30,0.50)}if(variant==='PORTFOLIO_D6_244'&&+o.hour===0&&+o.day>=6){R.setMix3(0.20,0.40,0.40)}if(+o.hour===0){const ow={COW:own(o,'COW'),SHEEP:own(o,'SHEEP')};tg={...ow};if(!comm){comm=ow.COW>=1&&ow.SHEEP>=1;if(!comm)tg={COW:Math.max(1,ow.COW),SHEEP:Math.max(1,ow.SHEEP)}}if(comm){const total=ow.COW+ow.SHEEP,c=choosePastureAnimal(o,{cashBuffer:400,strategicWeight:0});if(total<16&&c.choice){const step=variant==='HERD4'?4:2;tg[c.choice]+=Math.min(step,16-total);}R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(c.ranking.map((x:any)=>x.animal).filter((x:string)=>x==='COW'||x==='SHEEP')))}else R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(['SHEEP','COW']))}if((variant==='EARLY_HERD3'||variant==='EARLY_HERD4'||variant==='EARLY_HERD5'||variant==='EARLY_HERD_BUILD4'||variant==='EARLY_HERD_BUILD8')&&+o.hour===0&&+o.day<6){tg={COW:Math.max(variant==='EARLY_HERD3'?2:variant==='EARLY_HERD5'?4:3,own(o,'COW')),SHEEP:Math.max(1,own(o,'SHEEP'))};R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(['COW','SHEEP']))}let a=enforceAnimals(o,JSON.parse(String(R.callDyn(JSON.stringify(o)))),tg);if(variant==='MIX11_FERT'||variant==='M40_FERT'||variant==='M50_FERT'||variant.startsWith('M60_FERT')||variant.startsWith('DP_')||variant==='ADAPT_V1'||variant==='DEPLOY10'||variant==='HERD4'||variant==='LAND6'||variant==='PHASE3')a=addFertSell(o,a);if(variant==='MIX11_LIQ21'||variant==='MIX11_LIQ24'){const target=variant==='MIX11_LIQ21'?21:24;if(+o.hour===0&&+o.day===target){liqChecks++;for(const item of ['STRAWBERRY','MELON','MILK','WOOL','WHEAT','FERTILIZER'])liqOpportunityQty+=inventoryQty(o,item);const before=JSON.stringify(a.market??[]);a=addValueLiquidation(o,a,variant);if(JSON.stringify(a.market??[])!==before)liqApplied++}}acts[pid]=a}else acts[pid]=JSON.parse(String(R.callRef(ref,JSON.stringify(o))))}catch(e){errors++;acts[pid]={farmer:['PASS'],hands:[],market:[]}}}const sd=+s.day;if(oracle){if(actionDay!==sd){if(actionDay>=0)dailyActions.push({day:actionDay,ours:dayActsOur,ref:dayActsRef});actionDay=sd;dayActsOur={};dayActsRef={}}const ourActSummary=actionSummary(acts[ourSeat]),refActSummary=actionSummary(acts[1-ourSeat]);accumulateAction(dayActsOur,ourActSummary);accumulateAction(dayActsRef,refActSummary);if(+s.hour===0&&CHECK_DAYS.has(sd))actionTimeline.push({day:sd,ours:ourActSummary,ref:refActSummary})}if(+s.hour===0&&CHECK_DAYS.has(sd)){const oo=observationFor(s,ourSeat);obgUpdate(oo,obg);obgTrace.push({day:sd,profile:{marketReactive:obg.marketReactive,expansionRusher:obg.expansionRusher,ourStateAwareness:obg.ourStateAwareness,adaptability:obg.adaptability,observations:obg.observations},evidenceState:'HEURISTIC_CORRELATIONAL_UNCALIBRATED'})}s=R.E.interpreter.step(s,acts,cfg)}if(oracle&&actionDay>=0)dailyActions.push({day:actionDay,ours:dayActsOur,ref:dayActsRef});const ourBank=+s.farms[ourSeat].money,refBank=+s.farms[1-ourSeat].money;return{variant,ref,seed,ourSeat,ourBank,refBank,margin:ourBank-refBank,winner:ourBank>refBank?'OURS':ourBankg.winner==='A').length,winsB=games.filter(g=>g.winner==='B').length,ties=games.filter(g=>g.winner==='TIE').length;\n return{kind:jobType,a,b,seeds,episodes:games.length,winsA,winsB,ties,scoreA:(winsA+0.5*ties)/games.length,avgMarginA:avg(games.map(g=>g.margin)),avgBankA:avg(games.map(g=>g.aBank)),avgBankB:avg(games.map(g=>g.bBank)),errors:games.reduce((s,g)=>s+g.errors,0),gap:gapDiagnostics(games,'A'),games};\n }\n if(jobType==='OUR_VS_REFERENCE'){\n const variant=String(payload.variant??'MIX11'),ref=String(payload.ref),seeds=(payload.seeds??[]).map(Number);if(!ref||!seeds.length)throw new Error('OUR_VS_REFERENCE requires ref,seeds');if(!['MIX11','MIX11_FERT','M40_FERT','M50_FERT','M60_FERT','M60_FERT_JIT','MIX11_LIQ21','MIX11_LIQ24','DP_H','DP_W','DP_B','DP_COND','DP_H_PULSE','DP_B_PULSE','DP_COND_PULSE','ADAPT_V1','DEPLOY10','HERD4','LAND6','PHASE3','EARLY_MELON40','EARLY_HERD3','EARLY_HERD4','EARLY_HERD5','EARLY_BUILD4','EARLY_HERD_BUILD4','EARLY_HERD_BUILD8','PASTURE_RAMP','LAND_AFTER6_CLEAN','PORTFOLIO_D6_244'].includes(variant))throw new Error(`unsupported variant ${variant}`);\n const games:any[]=[];const opts={legalTelemetry:String(payload.legalTelemetry??'NONE'),oracleActionTelemetry:String(payload.oracleActionTelemetry??'NONE')};for(const seed of seeds){games.push(await playOurVsRef(variant,ref,seed,0,opts));games.push(await playOurVsRef(variant,ref,seed,1,opts))}\n const wins=games.filter(g=>g.winner==='OURS').length,losses=games.filter(g=>g.winner==='REF').length,ties=games.filter(g=>g.winner==='TIE').length;\n return{kind:jobType,variant,ref,seeds,episodes:games.length,wins,losses,ties,score:(wins+0.5*ties)/games.length,avgMargin:avg(games.map(g=>g.margin)),avgOurBank:avg(games.map(g=>g.ourBank)),avgRefBank:avg(games.map(g=>g.refBank)),errors:games.reduce((s,g)=>s+g.errors,0),gap:gapDiagnostics(games,'OURS'),games};\n }\n throw new Error(`unsupported job_type ${jobType}`);\n}\n\nexport function renderArtifactMarkdown(job:any,result:any){const lines=[`# Kaggriculture Autolab Run`,``,`- Core: ${AUTOLAB_CORE_VERSION}` ,`- Job: ${job.job_id}` ,`- Type: ${job.job_type}` ,`- Evidence: AUTOLAB_COMPUTE_RESULT_NOT_CHAMPION_PROOF`,`- Generated: ${new Date().toISOString()}`,``];if(result.kind==='PUBLIC_CROSSPLAY'){lines.push(`## Public crossplay`,``,`**${result.a} vs ${result.b}** — ${result.winsA}-${result.winsB}-${result.ties}, score A ${(100*result.scoreA).toFixed(1)}%, avg margin A ${result.avgMarginA.toFixed(1)}.`,``,`Largest observed gap-change window: ${JSON.stringify(result.gap.largestGapGrowth)}.`)}else{lines.push(`## Our agent vs reference`,``,`**${result.variant} vs ${result.ref}** — W/L/T ${result.wins}/${result.losses}/${result.ties}, score ${(100*result.score).toFixed(1)}%, avg margin ${result.avgMargin.toFixed(1)}.`,``,`Largest observed gap-change window: ${JSON.stringify(result.gap.largestGapGrowth)}.`)}lines.push(``,`## Guardrails`,``,`This artifact is laboratory evidence only. No Kaggle submission, spend, KYC, token use, or promotion to champion occurred. Public high-tier agents were used as black-box opponents; no non-licensed TRACE content was incorporated.`);return lines.join('\\n')}\n","createdAt",["D",1788840071146],"branchVersion","branchId","dd72e0e4-9376-4474-b2b2-deb37ddbf6e5","id","634e85ef-6c38-4cfc-b045-a94973e5fa70","kaggriculture-autolab",["D",1788770222210],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Kaggriculture autonomous compute 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{ sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\nimport { runAutolabJob, renderArtifactMarkdown, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\n\nconst WORKER_VERSION='KAG_AUTOLAB_WORKER_V2_COMPACT_PERSISTENCE';\nconst MAX_JOBS_PER_TICK=2;\nconst SOFT_BUDGET_MS=35000;\n\nasync function sha256(s:string){const b=await crypto.subtle.digest('SHA-256',new TextEncoder().encode(s));return Array.from(new Uint8Array(b)).map(x=>x.toString(16).padStart(2,'0')).join('')}\nfunction stamp(d=new Date()){return d.toISOString().replace(/[-:]/g,'').replace(/\\.\\d{3}Z$/,'Z')}\nconst SQLITE_INLINE_JSON_MAX_BYTES=500_000;\nfunction utf8Bytes(s:string){return new TextEncoder().encode(s).byteLength}\nfunction compactResult(result:any,fullArtifactKey:string,fullArtifactBytes:number,fullArtifactSha256:string){const {games,...summary}=result??{};return{...summary,gamesOmittedFromSqlite:Array.isArray(games)?games.length:0,fullArtifactKey,fullArtifactBytes,fullArtifactSha256}}\nfunction deterministicFailure(msg:string){return /unsupported job_type|unsupported variant|missing reference agent/i.test(msg)}\nasync function nextJob(){const q=await sqlite.execute(`SELECT * FROM kag_autolab_queue WHERE status='READY' AND (run_after IS NULL OR run_after<=CURRENT_TIMESTAMP) ORDER BY priority ASC, created_at ASC LIMIT 1`);return q.rows?.[0]??null}\nasync function claim(job:any){const r=await sqlite.execute({sql:`UPDATE kag_autolab_queue SET status='RUNNING',attempts=attempts+1,started_at=CURRENT_TIMESTAMP,updated_at=CURRENT_TIMESTAMP,last_error=NULL WHERE job_id=? AND status='READY'`,args:[job.job_id]});return Number(r.rowsAffected??0)===1}\nasync function persistSuccess(job:any,runId:string,started:number,result:any){\n const finished=new Date(),prefix=`artifacts/kaggriculture/autolab/${stamp(finished)}_${job.job_id}`;\n const wrapper={worker:WORKER_VERSION,core:AUTOLAB_CORE_VERSION,job:{job_id:job.job_id,job_type:job.job_type,payload:JSON.parse(job.payload_json)},result};\n const json=JSON.stringify(wrapper,null,2),md=renderArtifactMarkdown(job,result),fullBytes=utf8Bytes(json),jhash=await sha256(json),mhash=await sha256(md),large=fullBytes>SQLITE_INLINE_JSON_MAX_BYTES;\n const sqlWrapper=large?{...wrapper,result:compactResult(result,`${prefix}.json`,fullBytes,jhash)}:wrapper;\n const sqlJson=large?JSON.stringify(sqlWrapper):json;\n const index=large?JSON.stringify({schema:'KAG_AUTOLAB_BLOB_INDEX_V1',artifactKey:`${prefix}.json`,fullArtifactBytes:fullBytes,fullArtifactSha256:jhash,sqlResultCompacted:true,omittedTopLevelField:'result.games',episodes:Array.isArray(result?.games)?result.games.length:0}):json;\n const indexHash=await sha256(index),artifactType=large?'JSON_INDEX':'JSON',contentType=large?'application/vnd.kag.autolab.index+json':'application/json';\n await blob.set(`${prefix}.json`,json);await blob.set(`${prefix}.md`,md);\n try{await sqlite.batch([\n {sql:`UPDATE kag_autolab_runs SET status='DONE',finished_at=CURRENT_TIMESTAMP,duration_ms=?,result_json=?,artifact_prefix=?,evidence_state='AUTOLAB_COMPUTE_RESULT_NOT_CHAMPION_PROOF' WHERE run_id=?`,args:[Date.now()-started,sqlJson,prefix,runId]},\n {sql:`UPDATE kag_autolab_queue SET status='DONE',finished_at=CURRENT_TIMESTAMP,updated_at=CURRENT_TIMESTAMP,evidence_state='AUTOLAB_COMPUTE_RESULT_NOT_CHAMPION_PROOF' WHERE job_id=?`,args:[job.job_id]},\n {sql:`INSERT OR REPLACE INTO kag_autolab_artifacts(artifact_id,run_id,job_id,artifact_type,artifact_key,content_type,content_text,sha256,evidence_state) VALUES(?,?,?,?,?,?,?,?,?)`,args:[crypto.randomUUID(),runId,job.job_id,artifactType,`${prefix}.json`,contentType,index,indexHash,'AUTOLAB_COMPUTE_RESULT_NOT_CHAMPION_PROOF']},\n {sql:`INSERT OR REPLACE INTO kag_autolab_artifacts(artifact_id,run_id,job_id,artifact_type,artifact_key,content_type,content_text,sha256,evidence_state) VALUES(?,?,?,?,?,?,?,?,?)`,args:[crypto.randomUUID(),runId,job.job_id,'MARKDOWN',`${prefix}.md`,'text/markdown',md,mhash,'AUTOLAB_COMPUTE_RESULT_NOT_CHAMPION_PROOF']},\n {sql:`INSERT OR REPLACE INTO kag_autolab_state(state_key,state_json,updated_at) VALUES('last_success',?,CURRENT_TIMESTAMP)`,args:[JSON.stringify({job_id:job.job_id,run_id:runId,artifact_prefix:prefix,finished_at:finished.toISOString(),persistenceMode:large?'BLOB_FULL_SQL_COMPACT':'INLINE_FULL',fullArtifactBytes:fullBytes,fullArtifactSha256:jhash})]}\n ]);}catch(e){throw new Error(`SQL_INDEX_PERSIST_FAILED_AFTER_BLOB prefix=${prefix} full_json_bytes=${fullBytes} cause=${String((e as any)?.stack??(e as any)?.message??e)}`)}\n return{prefix,result,persistenceMode:large?'BLOB_FULL_SQL_COMPACT':'INLINE_FULL',fullArtifactBytes:fullBytes}\n}\nasync function persistFailure(job:any,runId:string,started:number,error:any){\n const msg=String(error?.stack??error?.message??error).slice(0,12000),maxAttempts=Number(job.max_attempts??3);\n const hist=await sqlite.execute({sql:`SELECT COUNT(*) n FROM kag_autolab_runs WHERE job_id=? AND status='FAILED'`,args:[job.job_id]});\n const previousFailed=Number(hist.rows?.[0]?.n??0),effectiveAttempt=previousFailed+1,deterministic=deterministicFailure(msg),nextStatus=(deterministic||effectiveAttempt>=maxAttempts)?'FAILED':'READY',fingerprint=(await sha256(msg.split('\\n')[0]??msg)).slice(0,16);\n const evidence=deterministic?'EXECUTION_FAILED_DETERMINISTIC':nextStatus==='FAILED'?'EXECUTION_FAILED_RETRY_EXHAUSTED':'EXECUTION_FAILED_RETRY_PENDING';\n await sqlite.batch([\n {sql:`UPDATE kag_autolab_runs SET status='FAILED',finished_at=CURRENT_TIMESTAMP,duration_ms=?,error_text=?,evidence_state=? WHERE run_id=?`,args:[Date.now()-started,msg,evidence,runId]},\n {sql:`UPDATE kag_autolab_queue SET status=?,attempts=?,run_after=CASE WHEN ?='READY' THEN datetime('now','+15 minutes') ELSE run_after END,updated_at=CURRENT_TIMESTAMP,finished_at=CASE WHEN ?='FAILED' THEN CURRENT_TIMESTAMP ELSE finished_at END,last_error=?,evidence_state=? WHERE job_id=?`,args:[nextStatus,effectiveAttempt,nextStatus,nextStatus,msg,evidence,job.job_id]},\n {sql:`INSERT OR REPLACE INTO kag_autolab_state(state_key,state_json,updated_at) VALUES('last_failure',?,CURRENT_TIMESTAMP)`,args:[JSON.stringify({job_id:job.job_id,run_id:runId,error:msg.slice(0,2000),failure_fingerprint:fingerprint,effective_attempt:effectiveAttempt,max_attempts:maxAttempts,deterministic,next_status:nextStatus})]}\n ]);return{error:msg,nextStatus,effectiveAttempt,maxAttempts,failureFingerprint:fingerprint}\n}\nasync function processOne(job:any){if(!(await claim(job)))return{status:'SKIPPED_CLAIM_RACE',job_id:job.job_id};const runId=crypto.randomUUID(),started=Date.now();await sqlite.execute({sql:`INSERT INTO kag_autolab_runs(run_id,job_id,job_type,status,started_at,worker_version,evidence_state) VALUES(?,?,?,'RUNNING',CURRENT_TIMESTAMP,?,'RUNNING_UNVERIFIED')`,args:[runId,job.job_id,job.job_type,WORKER_VERSION]});try{const result=await runAutolabJob(job.job_type,JSON.parse(job.payload_json));const saved=await persistSuccess(job,runId,started,result);return{status:'DONE',job_id:job.job_id,run_id:runId,artifact_prefix:saved.prefix,summary:result.kind==='PUBLIC_CROSSPLAY'?{a:result.a,b:result.b,episodes:result.episodes,winsA:result.winsA,winsB:result.winsB,ties:result.ties,avgMarginA:result.avgMarginA}:{variant:result.variant,ref:result.ref,episodes:result.episodes,wins:result.wins,losses:result.losses,ties:result.ties,avgMargin:result.avgMargin}}}catch(e){const f=await persistFailure(job,runId,started,e);return{status:'FAILED_ATTEMPT',job_id:job.job_id,run_id:runId,...f}}}\n\nexport default async function(interval:any){const 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x={step:s.step,day:s.day,hour:s.hour,done:s.done};if(first===null)first=x;last=x;count++;s=E.interpreter.step(s,[{farmer:['PASS'],hands:[],market:[]},{farmer:['PASS'],hands:[],market:[]}],cfg)}console.log(JSON.stringify({status:'PASS',count,first,last,final:{step:s.step,day:s.day,hour:s.hour,done:s.done},episodeStepsConfig:cfg.episodeSteps??cfg.episodeLength??null},null,2));",[175],"162b38e5-c659-431b-ae95-2d6735315bbc","legal_top_hierarchy_heldout_v2.ts","01a07e48-8a32-71f8-bdd9-ba391fbb6e74",111,["D",1788825085004],1,"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];\nconst trainSeeds=[100577,100591,100609,100621,100639,100651];\nconst testSeeds=[100709,100727,100733,100741,100747,100759,100769,100787];\nconst allSeeds=[...trainSeeds,...testSeeds];\nconst forbidden=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbidden.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nfunction at(t:any[],step:number){return t.find(x=>x.step===step)}\nfunction blFeat(t:any[]){const xs=t.filter(x=>x.day===12&&x.hour<=5),f:any={};for(let i=0;itrainSeeds.includes(s.seed)&&(s.ref==='broker_bea.py'||s.ref==='ledger_lena.py')).map(s=>({...s,f:blFeat(s.trace)}));const names=Object.keys(trainBL[0].f).sort();const mean=names.map(k=>trainBL.reduce((a,s)=>a+s.f[k],0)/trainBL.length);const sd=names.map((k,i)=>Math.sqrt(trainBL.reduce((a,s)=>{const d=s.f[k]-mean[i];return a+d*d},0)/Math.max(1,trainBL.length-1))||1);const z=(f:any)=>names.map((k,i)=>(f[k]-mean[i])/sd[i]);const cents:any={};for(const ref of ['broker_bea.py','ledger_lena.py']){const xs=trainBL.filter(s=>s.ref===ref).map(s=>z(s.f));cents[ref]=names.map((_,i)=>xs.reduce((a,v)=>a+v[i],0)/xs.length)}\nfunction classifyBL(t:any[]){const v=z(blFeat(t)),rank=Object.keys(cents).map(ref=>({ref,d:dist(v,cents[ref])})).sort((a,b)=>a.d-b.d);return{pred:rank[0].ref,margin:rank[1].d-rank[0].d,rank}}\nconst preds=[];for(const x of samples.filter(s=>testSeeds.includes(s.seed))){const s1=at(x.trace,1),s57=at(x.trace,57);let pred='',stage='',margin=Infinity;if(s1.opp.pastures>=1&&s1.opp.cash<500){pred='closer_cleo.py';stage='STEP1_CLEO'}else if(Number(s57.opp.cropMix?.MELON??0)<=7&&s57.opp.crops<=18){pred='slotter_silas.py';stage='STEP57_SILAS'}else{const q=classifyBL(x.trace);pred=q.pred;stage='D12_BROKER_LENA';margin=q.margin}preds.push({truth:x.ref,pred,seed:x.seed,seat:x.seat,stage,margin})}\nfunction summary(threshold:number){const kept=preds.filter(p=>p.stage!=='D12_BROKER_LENA'||p.margin>threshold),abst=preds.filter(p=>p.stage==='D12_BROKER_LENA'&&p.margin<=threshold);return{threshold,coverage:kept.length/preds.length,selectiveAccuracy:kept.length?kept.filter(p=>p.truth===p.pred).length/kept.length:null,abstained:abst.length,errors:kept.filter(p=>p.truth!==p.pred)}}\nconst conf:any={};for(const p of preds){conf[p.truth]=conf[p.truth]??{};conf[p.truth][p.pred]=(conf[p.truth][p.pred]??0)+1}\nconst mutationDetected=illegalKey([{opponentAction:{}}])==='opponentAction';const out={status:mutationDetected?'PASS':'FAIL',core:AUTOLAB_CORE_VERSION,evidenceState:'FROZEN_TRAIN_FRESH_HELDOUT_LEGAL_TOP_CLASSIFIER',trainSeeds,testSeeds,trainSamples:samples.filter(s=>trainSeeds.includes(s.seed)).length,testSamples:preds.length,rawAccuracy:preds.filter(p=>p.truth===p.pred).length/preds.length,perStage:Object.fromEntries(['STEP1_CLEO','STEP57_SILAS','D12_BROKER_LENA'].map(stage=>{const q=preds.filter(p=>p.stage===stage);return[stage,{n:q.length,accuracy:q.length?q.filter(p=>p.truth===p.pred).length/q.length:null}]})),riskCoverage:[summary(-1),summary(0),summary(0.05),summary(0.1),summary(0.25),summary(0.5)],confusion:conf,errors:preds.filter(p=>p.truth!==p.pred),blMargins:preds.filter(p=>p.stage==='D12_BROKER_LENA').map(p=>({truth:p.truth,pred:p.pred,seed:p.seed,seat:p.seat,margin:p.margin})),mutationControl:{detected:mutationDetected}};\nconsole.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[181],"70f213cf-3cc3-43d6-96b7-256aae1075dd","legal_top_hierarchy_heldout_v1.ts","01a07e47-3fe3-76aa-ae0a-857d4f607b0f",["D",1788824993764],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];\nconst trainSeeds=[100577,100591,100609,100621,100639,100651];\nconst testSeeds=[100667,100679,100693];\nconst allSeeds=[...trainSeeds,...testSeeds];\nconst forbidden=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbidden.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nfunction at(t:any[],step:number){return t.find(x=>x.step===step)}\nfunction blFeat(t:any[]){const xs=t.filter(x=>x.day===12&&x.hour<=5),f:any={};for(let i=0;itrainSeeds.includes(s.seed)&&(s.ref==='broker_bea.py'||s.ref==='ledger_lena.py')).map(s=>({...s,f:blFeat(s.trace)}));const names=Object.keys(trainBL[0].f).sort();const mean=names.map(k=>trainBL.reduce((a,s)=>a+s.f[k],0)/trainBL.length);const sd=names.map((k,i)=>Math.sqrt(trainBL.reduce((a,s)=>{const d=s.f[k]-mean[i];return a+d*d},0)/Math.max(1,trainBL.length-1))||1);const z=(f:any)=>names.map((k,i)=>(f[k]-mean[i])/sd[i]);const cents:any={};for(const ref of ['broker_bea.py','ledger_lena.py']){const xs=trainBL.filter(s=>s.ref===ref).map(s=>z(s.f));cents[ref]=names.map((_,i)=>xs.reduce((a,v)=>a+v[i],0)/xs.length)}\nfunction classifyBL(t:any[]){const v=z(blFeat(t)),rank=Object.keys(cents).map(ref=>({ref,d:dist(v,cents[ref])})).sort((a,b)=>a.d-b.d);return{pred:rank[0].ref,margin:rank[1].d-rank[0].d,rank}}\nconst preds=[];for(const x of samples.filter(s=>testSeeds.includes(s.seed))){const s1=at(x.trace,1),s57=at(x.trace,57);let pred='',stage='',margin=Infinity;if(s1.opp.pastures>=1&&s1.opp.cash<500){pred='closer_cleo.py';stage='STEP1_CLEO'}else if(Number(s57.opp.cropMix?.MELON??0)<=7&&s57.opp.crops<=18){pred='slotter_silas.py';stage='STEP57_SILAS'}else{const q=classifyBL(x.trace);pred=q.pred;stage='D12_BROKER_LENA';margin=q.margin}preds.push({truth:x.ref,pred,seed:x.seed,seat:x.seat,stage,margin})}\nfunction summary(threshold:number){const kept=preds.filter(p=>p.stage!=='D12_BROKER_LENA'||p.margin>threshold),abst=preds.filter(p=>p.stage==='D12_BROKER_LENA'&&p.margin<=threshold);return{threshold,coverage:kept.length/preds.length,selectiveAccuracy:kept.length?kept.filter(p=>p.truth===p.pred).length/kept.length:null,abstained:abst.length,errors:kept.filter(p=>p.truth!==p.pred)}}\nconst conf:any={};for(const p of preds){conf[p.truth]=conf[p.truth]??{};conf[p.truth][p.pred]=(conf[p.truth][p.pred]??0)+1}\nconst mutationDetected=illegalKey([{opponentAction:{}}])==='opponentAction';const out={status:mutationDetected?'PASS':'FAIL',core:AUTOLAB_CORE_VERSION,evidenceState:'FROZEN_TRAIN_FRESH_HELDOUT_LEGAL_TOP_CLASSIFIER',trainSeeds,testSeeds,trainSamples:samples.filter(s=>trainSeeds.includes(s.seed)).length,testSamples:preds.length,rawAccuracy:preds.filter(p=>p.truth===p.pred).length/preds.length,perStage:Object.fromEntries(['STEP1_CLEO','STEP57_SILAS','D12_BROKER_LENA'].map(stage=>{const q=preds.filter(p=>p.stage===stage);return[stage,{n:q.length,accuracy:q.length?q.filter(p=>p.truth===p.pred).length/q.length:null}]})),riskCoverage:[summary(-1),summary(0),summary(0.05),summary(0.1),summary(0.25),summary(0.5)],confusion:conf,errors:preds.filter(p=>p.truth!==p.pred),blMargins:preds.filter(p=>p.stage==='D12_BROKER_LENA').map(p=>({truth:p.truth,pred:p.pred,seed:p.seed,seat:p.seat,margin:p.margin})),mutationControl:{detected:mutationDetected}};\nconsole.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[189],"8851637b-a477-4cdd-b1ed-39e056a989db","legal_top_crosspolicy_ood_v1.ts","5a20a48a-ab17-11f1-8989-1607ee4eb77e",113,["D",1788825359660],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];\nconst trainSeeds=[100577,100591,100609,100621,100639,100651];\nconst testSeeds=[100809,100811];\nconst variants=['M60_FERT','ADAPT_V1','DP_H'];\nconst forbidden=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbidden.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nfunction at(t:any[],step:number){return t.find(x=>x.step===step)}\nfunction blFeat(t:any[]){const xs=t.filter(x=>x.day===12&&x.hour<=5),f:any={};for(let i=0;is.ref==='broker_bea.py'||s.ref==='ledger_lena.py').map(s=>({...s,f:blFeat(s.trace)}));const names=Object.keys(trainBL[0].f).sort();const mean=names.map(k=>trainBL.reduce((a,s)=>a+s.f[k],0)/trainBL.length);const sd=names.map((k,i)=>Math.sqrt(trainBL.reduce((a,s)=>{const d=s.f[k]-mean[i];return a+d*d},0)/Math.max(1,trainBL.length-1))||1);const z=(f:any)=>names.map((k,i)=>(f[k]-mean[i])/sd[i]);const cents:any={};for(const ref of ['broker_bea.py','ledger_lena.py']){const xs=trainBL.filter(s=>s.ref===ref).map(s=>z(s.f));cents[ref]=names.map((_,i)=>xs.reduce((a,v)=>a+v[i],0)/xs.length)}\nfunction classify(t:any[]){const s1=at(t,1),s57=at(t,57);if(s1.opp.pastures>=1&&s1.opp.cash<500)return{pred:'closer_cleo.py',stage:'STEP1_CLEO',margin:Infinity};if(Number(s57.opp.cropMix?.MELON??0)<=7&&s57.opp.crops<=18)return{pred:'slotter_silas.py',stage:'STEP57_SILAS',margin:Infinity};const v=z(blFeat(t)),rank=Object.keys(cents).map(ref=>({ref,d:dist(v,cents[ref])})).sort((a,b)=>a.d-b.d);return{pred:rank[0].ref,stage:'D12_BROKER_LENA',margin:rank[1].d-rank[0].d}}\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_CROSS_POLICY_OOD_FROZEN_MIX11_CLASSIFIER',trainSeeds,testSeeds,variants:{},mutationControl:{detected:illegalKey([{opponentAction:{}}])==='opponentAction'}};\nfor(const variant of variants){const ps:any[]=[];for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds:testSeeds,legalTelemetry:'FULL'});for(const g of r.games){const bad=illegalKey(g.legalTrace);if(bad)throw new Error(`illegal ${bad}`);const q=classify(g.legalTrace);ps.push({truth:ref,pred:q.pred,stage:q.stage,margin:q.margin,seed:g.seed,seat:g.ourSeat})}}const per:any={};for(const p of ps){per[p.truth]=per[p.truth]??{n:0,ok:0};per[p.truth].n++;if(p.truth===p.pred)per[p.truth].ok++}out.variants[variant]={n:ps.length,accuracy:ps.filter(p=>p.truth===p.pred).length/ps.length,perRef:Object.fromEntries(Object.entries(per).map(([k,v]:any)=>[k,v.ok/v.n])),errors:ps.filter(p=>p.truth!==p.pred),minBLMargin:Math.min(...ps.filter(p=>p.stage==='D12_BROKER_LENA').map(p=>p.margin))}}\nif(!out.mutationControl.detected)out.status='FAIL';console.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[195],"5e41bdef-e978-4996-8e69-cb626b312a7d","legal_observer_trace_selftest_v1.ts","01a07e47-3fe3-76aa-ae0a-79cb7db6c87a",["D",1788824993764],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\nconst expected:any={'100577:0':[33289,15630],'100577:1':[33247,15630]};\nconst forbiddenKeys=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbiddenKeys.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nconst r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'melon_mateo.py',seeds:[100577],legalTelemetry:'FULL'});\nconst problems:string[]=[];\nif(AUTOLAB_CORE_VERSION!=='KAG_AUTOLAB_CORE_V22_LEGAL_TELEMETRY_SEPARATION')problems.push(`core=${AUTOLAB_CORE_VERSION}`);\nfor(const g of r.games){const k=`${g.seed}:${g.ourSeat}`,e=expected[k];if(!e||g.ourBank!==e[0]||g.refBank!==e[1])problems.push(`${k}:terminal mismatch got ${g.ourBank}/${g.refBank}`);if(g.errors!==0)problems.push(`${k}:errors=${g.errors}`);if(g.legalTraceEvidenceState!=='LEGAL_OBSERVATION_ONLY_FULL_TURN_TRACE')problems.push(`${k}:wrong evidence state`);if(g.legalTrace?.length!==719)problems.push(`${k}:legalTrace=${g.legalTrace?.length}`);const bad=illegalKey(g.legalTrace);if(bad)problems.push(`${k}:forbidden=${bad}`);const first=g.legalTrace?.[0];if(!first?.market?.inventory?.WHEAT&&first?.market?.inventory?.WHEAT!==0)problems.push(`${k}:missing shared market inventory`);if(!first?.opp||!first?.me)problems.push(`${k}:missing public farm profiles`)}\nconst mutated=structuredClone(r.games[0].legalTrace);mutated[0].opponentAction={market:[['SELL','WHEAT',1]]};const mutationDetected=illegalKey(mutated)==='opponentAction';if(!mutationDetected)problems.push('mutation control failed');\nconsole.log(JSON.stringify({status:problems.length?'FAIL':'PASS',core:AUTOLAB_CORE_VERSION,episodes:r.episodes,WLT:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,gameShapes:r.games.map((g:any)=>({seat:g.ourSeat,terminal:[g.ourBank,g.refBank],legalTrace:g.legalTrace?.length,first:g.legalTrace?.[0],last:g.legalTrace?.at(-1),errors:g.errors})),mutationControl:{detected:mutationDetected},problems},null,2));\nif(problems.length)throw new Error(problems.join('; '));",[202],"579f0db7-0da4-4cef-9503-317dfcb9cf2d","legal_broker_lena_transition_values_v1.ts","680b6f5c-ab18-11f1-a687-1607ee4eb77e",116,["D",1788825673807],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst variants=['MIX11','M60_FERT','ADAPT_V1','DP_H'],seeds=[100809,100811],refs=['broker_bea.py','ledger_lena.py'];const out:any={status:'PASS',evidenceState:'LEGAL_BROKER_LENA_TRANSITION_VALUES',variants:{}};\nfunction one(t:any[]){const r:any={};for(const h of [1,2,3]){const p=t.find(x=>x.day===12&&x.hour===h-1),x=t.find(x=>x.day===12&&x.hour===h);r[h]={oppCash0:p.opp.cash,oppCash1:x.opp.cash,dOppCash:x.opp.cash-p.opp.cash,wheatI0:p.market.inventory.WHEAT,wheatI1:x.market.inventory.WHEAT,dWheatI:x.market.inventory.WHEAT-p.market.inventory.WHEAT,wheatP0:p.market.prices.WHEAT,wheatP1:x.market.prices.WHEAT,dWheatP:x.market.prices.WHEAT-p.market.prices.WHEAT,fertI0:p.market.inventory.FERTILIZER,fertI1:x.market.inventory.FERTILIZER,dFertI:x.market.inventory.FERTILIZER-p.market.inventory.FERTILIZER}}return r}\nfor(const variant of variants){out.variants[variant]={};for(const ref of refs){const rr:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,legalTelemetry:'FULL'});out.variants[variant][ref]=rr.games.filter((g:any)=>g.ourSeat===0).map((g:any)=>({seed:g.seed,t:one(g.legalTrace)}))}}\nconsole.log(JSON.stringify(out,null,2));",[208],"67de0161-439c-4f6e-8532-0ddaaedac65e","legal_broker_lena_localdelta_crosspolicy_v1.ts","1896a126-ab18-11f1-9589-1607ee4eb77e",115,["D",1788825540516],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py'];const trainSeeds=[100577,100591,100609,100621,100639,100651];const testSeeds=[100809,100811,100823,100829];const variants=['MIX11','M60_FERT','ADAPT_V1','DP_H','M50_FERT','DP_W'];\nconst forbidden=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbidden.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nfunction feat(t:any[]){const f:any={};for(const h of [1,2,3]){const x=t.find(q=>q.day===12&&q.hour===h),p=t.find(q=>q.day===12&&q.hour===h-1);if(!x||!p)continue;f[`h${h}:oppCashD`]=(x.opp.cash-p.opp.cash)/2000;f[`h${h}:meCashD`]=(x.me.cash-p.me.cash)/2000;for(const item of ['WHEAT','FERTILIZER','MELON']){f[`h${h}:${item}:invD`]=(x.market.inventory[item]-p.market.inventory[item])/30;f[`h${h}:${item}:priceD`]=(x.market.prices[item]-p.market.prices[item])/20}}return f}\nfunction dist(a:number[],b:number[]){let s=0;for(let i=0;itrain.reduce((a,s)=>a+s.f[k],0)/train.length);const sd=names.map((k,i)=>Math.sqrt(train.reduce((a,s)=>{const d=s.f[k]-mean[i];return a+d*d},0)/Math.max(1,train.length-1))||1);const z=(f:any)=>names.map((k,i)=>(f[k]-mean[i])/sd[i]);const cents:any={};for(const ref of refs){const xs=train.filter(s=>s.ref===ref).map(s=>z(s.f));cents[ref]=names.map((_,i)=>xs.reduce((a,v)=>a+v[i],0)/xs.length)}function classify(t:any[]){const v=z(feat(t)),rank=refs.map(ref=>({ref,d:dist(v,cents[ref])})).sort((a,b)=>a.d-b.d);return{pred:rank[0].ref,margin:rank[1].d-rank[0].d,rank}}\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_BROKER_LENA_LOCAL_DELTA_CROSSPOLICY',trainSeeds,testSeeds,features:names,variants:{},mutationControl:{detected:illegalKey([{opponentAction:{}}])==='opponentAction'}};for(const variant of variants){const ps:any[]=[];for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds:testSeeds,legalTelemetry:'FULL'});for(const g of r.games){const q=classify(g.legalTrace);ps.push({truth:ref,pred:q.pred,margin:q.margin,seed:g.seed,seat:g.ourSeat})}}out.variants[variant]={n:ps.length,accuracy:ps.filter(p=>p.truth===p.pred).length/ps.length,minMargin:Math.min(...ps.map(p=>p.margin)),errors:ps.filter(p=>p.truth!==p.pred)}}if(!out.mutationControl.detected)out.status='FAIL';console.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[215],"c478380e-47da-42ff-8470-84793d5f4924","legal_broker_lena_h2_compact_v1.ts","be9b1502-ab18-11f1-a3f7-1607ee4eb77e",117,["D",1788825819038],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst variants=['MIX11','M60_FERT','ADAPT_V1','DP_H','M50_FERT','DP_W'];const seeds=[100809,100811];const refs=['broker_bea.py','ledger_lena.py'];\nfunction sig(t:any[]){const p=t.find(x=>x.day===12&&x.hour===1),x=t.find(x=>x.day===12&&x.hour===2);return{preCash:p.opp.cash,dCash:x.opp.cash-p.opp.cash,preWI:p.market.inventory.WHEAT,dWI:x.market.inventory.WHEAT-p.market.inventory.WHEAT,preWP:p.market.prices.WHEAT,dWP:x.market.prices.WHEAT-p.market.prices.WHEAT,preFI:p.market.inventory.FERTILIZER,dFI:x.market.inventory.FERTILIZER-p.market.inventory.FERTILIZER,meCash0:p.me.cash,dMeCash:x.me.cash-p.me.cash}}\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,variants:{}};for(const variant of variants){const v:any={};for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,legalTelemetry:'FULL'});v[ref]=r.games.filter((g:any)=>g.ourSeat===0).map((g:any)=>({seed:g.seed,...sig(g.legalTrace)}))}v.paired=seeds.map(seed=>{const b=v['broker_bea.py'].find((x:any)=>x.seed===seed),l=v['ledger_lena.py'].find((x:any)=>x.seed===seed);return{seed,dCash_BminusL:b.dCash-l.dCash,dWI_BminusL:b.dWI-l.dWI,dWP_BminusL:b.dWP-l.dWP,dMeCash_BminusL:b.dMeCash-l.dMeCash}});out.variants[variant]=v}console.log(JSON.stringify(out,null,2));",[222],"23044fba-dc5e-464a-a292-ceabe35a28cd","legal_broker_lena_crosspolicy_firstdiff_v1.ts","ee02e53c-ab17-11f1-af7e-1607ee4eb77e",114,["D",1788825469053],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst variants=['MIX11','M60_FERT','ADAPT_V1','DP_H','M50_FERT','DP_W'];\nconst seeds=[100809,100811];\nfunction diff(a:any,b:any,path=''):any[]{if(a===b)return[];if(typeof a!=='object'||a===null||typeof b!=='object'||b===null)return[{path,a,b}];if(Array.isArray(a)||Array.isArray(b))return JSON.stringify(a)===JSON.stringify(b)?[]:[{path,a,b}];return[...new Set([...Object.keys(a),...Object.keys(b)])].flatMap(k=>diff(a?.[k],b?.[k],path?`${path}.${k}`:k))}\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_BROKER_LENA_CROSSPOLICY_FIRST_DIFF',variants:{}};\nfor(const variant of variants){const data:any={};for(const ref of ['broker_bea.py','ledger_lena.py']){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,legalTelemetry:'FULL'});for(const g of r.games)data[`${ref}|${g.seed}|${g.ourSeat}`]=g.legalTrace}const rows=[];for(const seed of seeds)for(const seat of [0,1]){const a=data[`broker_bea.py|${seed}|${seat}`],b=data[`ledger_lena.py|${seed}|${seat}`];let i=0;while(i=a.length?{seed,seat,equal:true}:{seed,seat,equal:false,step:a[i].step,day:a[i].day,hour:a[i].hour,diffs:diff(a[i],b[i]).slice(0,12)})}out.variants[variant]=rows}\nconsole.log(JSON.stringify(out,null,2));",[229],"89450789-86e1-41ca-b7b2-78d1cbcf249b","core_v21_behavior_signature.ts","01a07e44-9258-724b-994e-effd37d3852a",108,["D",1788824818265],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\nconst refs=['rotation_rosa.py','homestead_hana.py','melon_mateo.py','rancher_rita.py','broker_bea.py','closer_cleo.py'];\nconst seeds=[100577,100591];\nconst out:any={core:AUTOLAB_CORE_VERSION,rows:{}};\nfor(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds});out.rows[ref]={WLT:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,games:r.games.map((g:any)=>[g.seed,g.ourSeat,g.ourBank,g.refBank,g.errors])}}\nconsole.log(JSON.stringify(out,null,2));",[236],"14d82b88-bc5f-43a5-83e5-77b67792b6d2","README.md","dd5768fa-aa97-11f1-be9a-1607ee4eb77e",123,["D",1788834996918],"# Kaggriculture Autolab Worker\n\n> **STRATEGY AUTHORITY / READ-FIRST:** this project is a compute sidecar only. Before any human/automation turns its results into a hypothesis, mutation or queue plan, read `cleitoncosta/chat-native-maestro@economic-v0.6/artifacts/kaggriculture/00_READ_FIRST.md` and require `KAG_CONTEXT_PREFLIGHT=PASS`. Sidecar state never overrides canonical strategic artifacts by itself.\n\nDedicated autonomous compute sidecar for `cleitoncosta/chat-native-maestro@economic-v0.6`.\n\n- Trigger: `worker.ts`\n- Schedule: every 15 minutes (Free-tier minimum)\n- Queue: `kag_autolab_queue`\n- Runs: `kag_autolab_runs`\n- State: `kag_autolab_state`\n- Artifact mirror: `kag_autolab_artifacts`\n- Blob artifact prefix: `artifacts/kaggriculture/autolab/`\n\nThe worker performs only reversible research/compute work. It does not submit to Kaggle, spend funds, handle KYC/payout, or expose secrets. Public reference agents are used as black-box opponents; non-licensed TRACE/replay-plan content is not 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{ unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from '../lib/kaggriculture_engine_loader.ts';\n\nconst SEEDS=[106427,106439,106451,106463];\nconst E=await loadOfficialKaggricultureEngine();\nconst r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);\nconst z=unzipSync(new Uint8Array(await r.arrayBuffer()));const py=await loadPyodide();py.runPython(`import json\\n_R={}`);\nfor(const n of ['broker_bea.py','rotation_rosa.py']){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_n={}\\nexec(src,_n)\\n_R[nm]=_n['agent']`)}\npy.runPython(`def c(n,p): return json.dumps(_R[n](json.loads(p)))`);const c=py.globals.get('c');const call=(n:string,o:any)=>JSON.parse(String(c(n,JSON.stringify(o))));\nfunction wix(a:any){const m=a?.market??[];for(let i=0;i0?{farmer:['PASS'],hands:[],market:[['BUY_PRODUCT','WHEAT',q]]}:{farmer:['PASS'],hands:[],market:[]};const ns=E.interpreter.step(st,[a0,a1],cfg);return{wheatSellIndex:wix(a0),buyQtyAcquired:ownWheat(ns,1)-beforeW,spent:beforeC-Number(ns.farms[1].money),priceBefore:beforeP,priceAfter:Number(ns.market.prices.WHEAT),inventoryBefore:beforeI,inventoryAfter:Number(ns.market.inventory.WHEAT)}}\nconst perSeed:any[]=[];let totalCandidates=0,totalComparable=0,totalNonzero=0,maxSaving=0;const savings:number[]=[];\nfor(const seed of SEEDS){const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);let candidates=0,comparable=0,nonzero=0,best:any=null;while(!s.done){const b=observationFor(s,0),lo=structuredClone(b),hi=structuredClone(b);lo.farms[1].money=199;hi.farms[1].money=200;const al=call('broker_bea.py',lo),ah=call('broker_bea.py',hi);if(JSON.stringify(al.market)!==JSON.stringify(ah.market)&&wix(al)!==wix(ah)){candidates++;const p=Number(s.market.prices.WHEAT),q=Math.max(0,Math.min(5,Math.floor(180/Math.max(1,p))));if(q>0){const low=simulate(s,cfg,199,q),high=simulate(s,cfg,200,q);if(low.buyQtyAcquired===high.buyQtyAcquired&&low.buyQtyAcquired>0){comparable++;const saving=low.spent-high.spent;savings.push(saving);if(saving!==0)nonzero++;if(!best||saving>best.saving)best={step:Number(s.step),day:Number(s.day),hour:Number(s.hour),q,saving,low,high};}}}const a0=call('broker_bea.py',observationFor(s,0)),a1=call('rotation_rosa.py',observationFor(s,1));s=E.interpreter.step(s,[a0,a1],cfg)}perSeed.push({seed,candidates,comparable,nonzero,best});totalCandidates+=candidates;totalComparable+=comparable;totalNonzero+=nonzero;maxSaving=Math.max(maxSaving,Number(best?.saving??0));}\nconst meanSaving=savings.length?savings.reduce((a,b)=>a+b,0)/savings.length:0;\nconsole.log(JSON.stringify({schema:'KAG_REACTION_CASH_MARKET_MEDIATION_V2_FRESH_WORLDS',evidence_state:'FIXED_PRESTATE_MARKET_MEDIATION_CAUSAL_FALSIFICATION_OFFLINE',seeds:SEEDS,totalCandidates,totalComparable,totalNonzero,maxSaving,positiveRate:totalComparable?totalNonzero/totalComparable:0,meanSavingAcrossComparable:meanSaving,perSeed,inferenceGuardrails:['DIRECT_AWARENESS != MATERIAL_ECONOMIC_EFFECT','offline raw action used only to verify treatment fired','fresh-world replication does not imply deployable feature','BUY_PRODUCT contention is controlled teacher probe']},null,2));",[],[250,353],"be2161e5-ce8f-49c2-8429-244a8c223653","reaction_cash_market_mediation_v1.ts","0540e49a-ab38-11f1-b503-1607ee4eb77e",138,["D",1788839548077],4,"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from '../lib/kaggriculture_engine_loader.ts';\n\nconst SEEDS=[106427];\nconst E=await loadOfficialKaggricultureEngine();\nconst r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);\nconst z=unzipSync(new Uint8Array(await r.arrayBuffer()));const py=await loadPyodide();py.runPython(`import json\\n_R={}`);\nfor(const n of ['broker_bea.py','rotation_rosa.py']){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_n={}\\nexec(src,_n)\\n_R[nm]=_n['agent']`)}\npy.runPython(`def c(n,p): return json.dumps(_R[n](json.loads(p)))`);const c=py.globals.get('c');const call=(n:string,o:any)=>JSON.parse(String(c(n,JSON.stringify(o))));\nfunction wix(a:any){const m=a?.market??[];for(let i=0;i0?{farmer:['PASS'],hands:[],market:[['BUY_PRODUCT','WHEAT',q]]}:{farmer:['PASS'],hands:[],market:[]};const ns=E.interpreter.step(st,[a0,a1],cfg);return{wheatSellIndex:wix(a0),buyQtyAcquired:ownWheat(ns,1)-beforeW,spent:beforeC-Number(ns.farms[1].money),priceBefore:beforeP,priceAfter:Number(ns.market.prices.WHEAT),inventoryBefore:beforeI,inventoryAfter:Number(ns.market.inventory.WHEAT)}}\nconst perSeed:any[]=[];let totalCandidates=0,totalComparable=0,totalNonzero=0,maxSaving=0;\nfor(const seed of SEEDS){const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);let candidates=0,comparable=0,nonzero=0,best:any=null;while(!s.done){const b=observationFor(s,0),lo=structuredClone(b),hi=structuredClone(b);lo.farms[1].money=199;hi.farms[1].money=200;const al=call('broker_bea.py',lo),ah=call('broker_bea.py',hi);if(JSON.stringify(al.market)!==JSON.stringify(ah.market)&&wix(al)!==wix(ah)){candidates++;const p=Number(s.market.prices.WHEAT),q=Math.max(0,Math.min(5,Math.floor(180/Math.max(1,p))));if(q>0){const low=simulate(s,cfg,199,q),high=simulate(s,cfg,200,q);if(low.buyQtyAcquired===high.buyQtyAcquired&&low.buyQtyAcquired>0){comparable++;const saving=low.spent-high.spent;if(saving!==0)nonzero++;if(!best||saving>best.saving)best={step:Number(s.step),day:Number(s.day),hour:Number(s.hour),q,saving,low,high};}}}const a0=call('broker_bea.py',observationFor(s,0)),a1=call('rotation_rosa.py',observationFor(s,1));s=E.interpreter.step(s,[a0,a1],cfg)}perSeed.push({seed,candidates,comparable,nonzero,best});totalCandidates+=candidates;totalComparable+=comparable;totalNonzero+=nonzero;maxSaving=Math.max(maxSaving,Number(best?.saving??0));}\nconsole.log(JSON.stringify({schema:'KAG_REACTION_CASH_MARKET_MEDIATION_V1',evidence_state:'FIXED_PRESTATE_MARKET_MEDIATION_CAUSAL_CALIBRATION_OFFLINE',seeds:SEEDS,totalCandidates,totalComparable,totalNonzero,maxSaving,positiveRate:totalComparable?totalNonzero/totalComparable:0,perSeed,inferenceGuardrails:['DIRECT_AWARENESS != MATERIAL_ECONOMIC_EFFECT','offline raw action used only to verify treatment fired','BUY_PRODUCT contention is controlled teacher probe, not deployable opponent raw-action feature']},null,2));",[],[250,361],"de17e906-3493-4405-8716-c11b200c2ceb","reaction_cash_fixedprestate_v2_family.ts","191d8512-ab39-11f1-bcae-1607ee4eb77e",144,["D",1788839756140],"import { unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from '../lib/kaggriculture_engine_loader.ts';\n\nconst REFS=['broker_bea.py','rancher_rita.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rotation_rosa.py','homestead_hana.py','melon_mateo.py'];\nconst SEEDS=[106501,106513,106527];\nconst TARGET_STEPS=new Set([0,57,144,289,433,577]);\nconst CASH_LEVELS=[0,199,200,500,1000,3000,10000,50000];\nconst ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nfunction pub(f:any){let crops=0,pastures=0,animals=0;for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;if(t.kind==='PASTURE')pastures++;if(t.animal)animals++;if(t.crop||t.plant||t.kind==='PLANT')crops++;}return{cash:Number(f?.money??0),land:(f?.unlocked_quadrants??[]).length,crops,pastures,animals};}\nfunction sig(a:any){return JSON.stringify(a);}\nfunction consequence(E:any,s:any,cfg:any,ourAct:any,refAct:any){let n:any;try{n=E.interpreter.step(structuredClone(s),[ourAct,refAct],cfg);}catch(e){return{valid:false,error:String((e as any)?.message??e)}}const m:any={};for(const k of ITEMS)m[k]={p:Number(n.market?.prices?.[k]??0),i:Number(n.market?.inventory?.[k]??0)};return{valid:true,opp:pub(n.farms[1]),market:m};}\nfunction delta(a:any,b:any){if(!a?.valid||!b?.valid)return null;let marketInventoryL1=0,marketPriceL1=0;for(const k of ITEMS){marketInventoryL1+=Math.abs(Number(b.market[k].i)-Number(a.market[k].i));marketPriceL1+=Math.abs(Number(b.market[k].p)-Number(a.market[k].p));}return{oppCash:Number(b.opp.cash)-Number(a.opp.cash),oppLand:Number(b.opp.land)-Number(a.opp.land),oppCrops:Number(b.opp.crops)-Number(a.opp.crops),oppPastures:Number(b.opp.pastures)-Number(a.opp.pastures),oppAnimals:Number(b.opp.animals)-Number(a.opp.animals),marketInventoryL1,marketPriceL1};}\nconst E=await loadOfficialKaggricultureEngine();const rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`reference dataset HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_R0={}\\n_R1={}`);for(const name of REFS){py.globals.set('nm',name);py.globals.set('src',strFromU8(z[name]));py.runPython(`_SRC[nm]=src`)}\npy.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_baseline():\\n global _R0,_R1\\n _R0=_mk('rancher_rita.py');_R1=_mk('rancher_rita.py')\\ndef call_base(seat,p): return json.dumps((_R0 if seat==0 else _R1)['agent'](json.loads(p)))\\ndef call_fresh(n,p):\\n d=_mk(n)\\n return json.dumps(d['agent'](json.loads(p)))`);\nconst resetBaseline=py.globals.get('reset_baseline'),callBase=py.globals.get('call_base'),callFresh=py.globals.get('call_fresh');const prestates:any[]=[];\nfor(const seed of SEEDS){resetBaseline();const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const a0=JSON.parse(String(callBase(0,JSON.stringify(observationFor(s,0)))));const a1=JSON.parse(String(callBase(1,JSON.stringify(observationFor(s,1)))));if(TARGET_STEPS.has(Number(s.step)))prestates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),state:structuredClone(s),ourAct:a0,cfg});s=E.interpreter.step(s,[a0,a1],cfg)}}\nconst refs:any={};for(const ref of REFS){let changed199200=0,material199200=0,distinctSum=0,anyCashResponsive=0;const rows:any[]=[];for(const ps of prestates){const baseObs=observationFor(ps.state,1),by:any={};for(const cash of CASH_LEVELS){const o=structuredClone(baseObs);o.farms[0].money=cash;const act=JSON.parse(String(callFresh(ref,JSON.stringify(o))));by[cash]={actionSig:sig(act),next:consequence(E,ps.state,ps.cfg,ps.ourAct,act)}}const d=delta(by[199].next,by[200].next),changed=by[199].actionSig!==by[200].actionSig,distinct=new Set(CASH_LEVELS.map(x=>by[x].actionSig)).size;changed199200+=changed?1:0;anyCashResponsive+=distinct>1?1:0;if(d&&(Math.abs(d.oppCash)+Math.abs(d.oppLand)*100+Math.abs(d.oppCrops)*10+Math.abs(d.oppAnimals)*20+d.marketInventoryL1+d.marketPriceL1)>0)material199200++;distinctSum+=distinct;rows.push({seed:ps.seed,step:ps.step,day:ps.day,hour:ps.hour,changed199200,delta199200:d,distinctActionsAcrossCashLevels:distinct});}refs[ref]={n:rows.length,changed199200,material199200,anyCashResponsive,meanDistinctActions:rows.length?distinctSum/rows.length:0,nonzeroRows:rows.filter(r=>r.changed199200||r.distinctActionsAcrossCashLevels>1)};}\nconst summary=Object.fromEntries(Object.entries(refs).map(([k,v]:any)=>[k,{n:v.n,changed199200:v.changed199200,material199200:v.material199200,anyCashResponsive:v.anyCashResponsive,meanDistinctActions:v.meanDistinctActions}]));console.log(JSON.stringify({schema:'KAG_FIXED_PRESTATE_CASH_REACTION_V2_FAMILY_SUMMARY',evidence_state:'OFFLINE_BLACKBOX_PERCEPTION_INTERVENTION_FRESH_FAMILY_NOT_DEPLOYABLE',seeds:SEEDS,prestates:prestates.length,refs:summary,guardrails:['same fixed prestates across all refs','raw actions are offline teacher treatment-fired labels only','DIRECT_AWARENESS != MATERIAL_ECONOMIC_EFFECT','observational B41 lift is not causal']},null,2));",[],[250,370],"d56de94b-cb51-422b-ac39-558c821b0527","reaction_cash_fixedprestate_v1.ts","6ee9b96e-ab36-11f1-872b-1607ee4eb77e",132,["D",1788838704359],"import { unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from '../lib/kaggriculture_engine_loader.ts';\n\nconst REFS=['rotation_rosa.py','homestead_hana.py','melon_mateo.py','broker_bea.py'];\nconst SEEDS=[106101,106113,106127];\nconst TARGET_STEPS=new Set([0,57,144,289,433,577]);\nconst CASH_LEVELS=[0,199,200,500,1000,3000,10000,50000];\nconst ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nfunction pub(f:any){let crops=0,pastures=0,animals=0;for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;if(t.kind==='PASTURE')pastures++;if(t.animal)animals++;if(t.crop||t.plant||t.kind==='PLANT')crops++;}return{cash:Number(f?.money??0),land:(f?.unlocked_quadrants??[]).length,crops,pastures,animals};}\nfunction sig(a:any){return JSON.stringify(a);}\nfunction consequence(E:any,s:any,cfg:any,ourAct:any,refAct:any){const acts=[ourAct,refAct];let n:any;try{n=E.interpreter.step(structuredClone(s),acts,cfg);}catch(e){return{valid:false,error:String((e as any)?.message??e)}}const m:any={};for(const k of ITEMS)m[k]={p:Number(n.market?.prices?.[k]??0),i:Number(n.market?.inventory?.[k]??0)};return{valid:true,opp:pub(n.farms[1]),market:m};}\nfunction delta(a:any,b:any){if(!a?.valid||!b?.valid)return null;let marketInventoryL1=0,marketPriceL1=0;for(const k of ITEMS){marketInventoryL1+=Math.abs(Number(b.market[k].i)-Number(a.market[k].i));marketPriceL1+=Math.abs(Number(b.market[k].p)-Number(a.market[k].p));}return{oppCash:Number(b.opp.cash)-Number(a.opp.cash),oppLand:Number(b.opp.land)-Number(a.opp.land),oppCrops:Number(b.opp.crops)-Number(a.opp.crops),oppPastures:Number(b.opp.pastures)-Number(a.opp.pastures),oppAnimals:Number(b.opp.animals)-Number(a.opp.animals),marketInventoryL1,marketPriceL1};}\n\nconst E=await loadOfficialKaggricultureEngine();\nconst rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`reference dataset HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_T={}\\n_R0={}\\n_R1={}`);\nfor(const name of [...REFS,'rancher_rita.py']){py.globals.set('nm',name);py.globals.set('src',strFromU8(z[name]));py.runPython(`_SRC[nm]=src`)}\npy.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_baseline():\\n global _R0,_R1\\n _R0=_mk('rancher_rita.py');_R1=_mk('rancher_rita.py')\\ndef call_base(seat,p): return json.dumps((_R0 if seat==0 else _R1)['agent'](json.loads(p)))\\ndef call_fresh(n,p):\\n d=_mk(n)\\n return json.dumps(d['agent'](json.loads(p)))`);\nconst resetBaseline=py.globals.get('reset_baseline'),callBase=py.globals.get('call_base'),callFresh=py.globals.get('call_fresh');\nconst prestates:any[]=[];\nfor(const seed of SEEDS){resetBaseline();const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const o0=observationFor(s,0),o1=observationFor(s,1);const a0=JSON.parse(String(callBase(0,JSON.stringify(o0))));const a1=JSON.parse(String(callBase(1,JSON.stringify(o1))));if(TARGET_STEPS.has(Number(s.step)))prestates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),state:structuredClone(s),ourAct:a0,cfg});s=E.interpreter.step(s,[a0,a1],cfg)}}\nconst output:any={schema:'KAG_FIXED_PRESTATE_CASH_REACTION_V1',evidence_state:'OFFLINE_BLACKBOX_PERCEPTION_INTERVENTION_NOT_DEPLOYABLE_BY_ITSELF',prestates:prestates.length,refs:{}};\nfor(const ref of REFS){const rows:any[]=[];let changed199200=0,material199200=0,distinctSum=0;for(const ps of prestates){const baseObs=observationFor(ps.state,1);const by:any={};for(const cash of CASH_LEVELS){const o=structuredClone(baseObs);o.farms[0].money=cash;const act=JSON.parse(String(callFresh(ref,JSON.stringify(o))));by[cash]={actionSig:sig(act),next:consequence(E,ps.state,ps.cfg,ps.ourAct,act)}}const d=delta(by[199].next,by[200].next),changed=by[199].actionSig!==by[200].actionSig;const distinct=new Set(CASH_LEVELS.map(x=>by[x].actionSig)).size;changed199200+=changed?1:0;if(d&&(Math.abs(d.oppCash)+Math.abs(d.oppLand)*100+Math.abs(d.oppCrops)*10+Math.abs(d.oppAnimals)*20+d.marketInventoryL1+d.marketPriceL1)>0)material199200++;distinctSum+=distinct;rows.push({seed:ps.seed,step:ps.step,day:ps.day,hour:ps.hour,actualOurCash:Number(baseObs.farms[0].money??0),changed199200,delta199200:d,distinctActionsAcrossCashLevels:distinct})}output.refs[ref]={n:rows.length,changed199200,material199200,meanDistinctActions:rows.length?distinctSum/rows.length:0,rows};}\nconsole.log(JSON.stringify({schema:output.schema,evidence_state:output.evidence_state,prestates:output.prestates,refs:Object.fromEntries(Object.entries(output.refs).map(([k,v]:any)=>[k,{n:v.n,changed199200:v.changed199200,material199200:v.material199200,meanDistinctActions:v.meanDistinctActions,nonzeroRows:v.rows.filter((r:any)=>r.distinctActionsAcrossCashLevels>1||r.changed199200).slice(0,12)}]))},null,2));",[],[250,378],"0aad263d-e857-4fcb-a547-42747b1870f5","reaction_cash_family_fixedprestate_v2.ts","1c6538d2-ab39-11f1-b12e-1607ee4eb77e",143,["D",1788839720243],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from '../lib/kaggriculture_engine_loader.ts';\nconst REFS=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rancher_rita.py'];\nconst SEEDS=[106501,106513,106527],STEPS=new Set([0,144]);\nconst E=await loadOfficialKaggricultureEngine();const r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer()));const py=await loadPyodide();py.runPython(`import json\\n_SRC={}`);for(const n of [...REFS,'rancher_rita.py']){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}py.runPython(`def fresh(n,p):\\n d={}\\n exec(_SRC[n],d)\\n return json.dumps(d['agent'](json.loads(p)))\\ndef base(n,p):\\n d={}\\n exec(_SRC['rancher_rita.py'],d)\\n return json.dumps(d['agent'](json.loads(p)))`);const fresh=py.globals.get('fresh'),base=py.globals.get('base');\nconst prestates:any[]=[];for(const seed of SEEDS){const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){if(STEPS.has(Number(s.step)))prestates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),state:structuredClone(s)});const a0=JSON.parse(String(base(0,JSON.stringify(observationFor(s,0))))),a1=JSON.parse(String(base(1,JSON.stringify(observationFor(s,1)))));s=E.interpreter.step(s,[a0,a1],cfg)}}\nconst out:any={schema:'KAG_CASH_FAMILY_FIXEDPRESTATE_V2',evidence_state:'OFFLINE_BLACKBOX_TREATMENT_FIRED_CALIBRATION',prestates:prestates.length,refs:{}};for(const ref of REFS){let changed=0;const byStep:any={};for(const ps of prestates){const o=observationFor(ps.state,1),lo=structuredClone(o),hi=structuredClone(o);lo.farms[0].money=199;hi.farms[0].money=200;const a=JSON.parse(String(fresh(ref,JSON.stringify(lo)))),b=JSON.parse(String(fresh(ref,JSON.stringify(hi)))),c=JSON.stringify(a)!==JSON.stringify(b);changed+=c?1:0;const k=String(ps.step);byStep[k]=byStep[k]??{n:0,changed:0};byStep[k].n++;byStep[k].changed+=c?1:0;}out.refs[ref]={changed,total:prestates.length,byStep};}\nconsole.log(JSON.stringify(out,null,2));",[],[250,386],"1536f684-162b-4bee-8ae3-87133492fbae","nonreg_selfmemory_probe.ts","cff50c2e-ab39-11f1-bc72-1607ee4eb77e",146,["D",1788840021515],"import { runAutolabJob,AUTOLAB_CORE_VERSION } from '../lib/kag_autolab_core.ts';\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:[106601],legalTelemetry:'FULL',oracleActionTelemetry:'NONE'});\nconsole.log(JSON.stringify({core:AUTOLAB_CORE_VERSION,summary:{episodes:r.episodes,wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin},games:r.games.map((g:any)=>({seed:g.seed,seat:g.ourSeat,ourBank:g.ourBank,refBank:g.refBank,margin:g.margin,winner:g.winner,errors:g.errors,legalTraceLength:g.legalTrace?.length??null,selfActionTraceLength:g.selfActionTrace?.length??null}))},null,2));",[],[250,394],"7cc6e9e0-29f8-4fce-a47c-c47d871e53d2","analyze_top4_sameworld_b37.ts","7f2d7822-ab2e-11f1-9f8f-1607ee4eb77e",125,["D",1788835161542],"import { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst keys={broker:\"artifacts/kaggriculture/autolab/20260908T023625Z_OUR-MIX11-BROKER-LEGAL-B36.json\",lena:\"artifacts/kaggriculture/autolab/20260908T023632Z_OUR-MIX11-LENA-LEGAL-B36.json\",silas:\"artifacts/kaggriculture/autolab/20260908T023824Z_OUR-MIX11-SILAS-LEGAL-B37.json\",cleo:\"artifacts/kaggriculture/autolab/20260908T023831Z_OUR-MIX11-CLEO-LEGAL-B37.json\"};\nconst data:any={}; for(const [k,v] of Object.entries(keys)) data[k]=await blob.getJSON(v);\nconst pub=(t:any)=>({opp:t.opp,market:t.market,shops:t.shops});\nfunction paths(a:any,b:any,p=\"\"):string[]{const out:string[]=[]; const ks=new Set([...Object.keys(a??{}),...Object.keys(b??{})]);for(const k of ks){const x=a?.[k],y=b?.[k],q=p?`${p}.${k}`:k;if(x&&y&&typeof x===\"object\"&&typeof y===\"object\"&&!Array.isArray(x)&&!Array.isArray(y))out.push(...paths(x,y,q));else if(JSON.stringify(x)!==JSON.stringify(y))out.push(q);}return out;}\nfunction firstDiff(a:string,b:string){const rows=[];for(let i=0;i<8;i++){const A=data[a].result.games[i].legalTrace,B=data[b].result.games[i].legalTrace;let s=-1;for(let j=0;j=0?paths(pub(A[s]),pub(B[s])):[];rows.push({seed:data[a].result.games[i].seed,seat:data[a].result.games[i].ourSeat,step:s,day:s>=0?A[s].day:null,hour:s>=0?A[s].hour:null,diffs:dif.slice(0,12)});}return rows;}\nconst pairs:any={}; for(const [a,b] of [[\"cleo\",\"silas\"],[\"silas\",\"lena\"],[\"lena\",\"broker\"],[\"cleo\",\"broker\"]]) pairs[`${a}-${b}`]=firstDiff(a,b);\nconst days=[3,6,9,12,15,18,21,24,27,29]; const footprint:any={};\nfor(const name of Object.keys(data)){footprint[name]={}; for(const d of days){let n=0,s={cash:0,land:0,crops:0,pastures:0,animals:0,straw:0,wheat:0,melon:0};for(const g of data[name].result.games){const t=g.timeline.find((x:any)=>x.day===d); if(!t)continue;n++;const o=t.ref;s.cash+=o.cash;s.land+=o.land;s.crops+=o.crops;s.pastures+=o.pastures;s.animals+=o.animals;s.straw+=o.cropMix?.STRAWBERRY??0;s.wheat+=o.cropMix?.WHEAT??0;s.melon+=o.cropMix?.MELON??0;}footprint[name][d]=Object.fromEntries(Object.entries(s).map(([k,v]:any)=>[k,+(v/n).toFixed(2)]));}}\nconsole.log(JSON.stringify({margins:Object.fromEntries(Object.entries(data).map(([k,v]:any)=>[k,v.result.avgMargin])),pairs,footprint}));",[],[250,402],"1598cb45-3396-4a60-950c-f78eeec45d3f","analyze_b42_legal_reaction_candidates_v1.ts","01a07f2c-7ff8-721d-aea4-be8d6f7c6331",150,["D",1788840050319],3,"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\n\nconst jobs=['B42-LEGAL-FAMILY-HELDOUT-BROKER','B42-LEGAL-FAMILY-HELDOUT-RITA','B42-LEGAL-FAMILY-HELDOUT-LENA','B42-LEGAL-FAMILY-HELDOUT-SILAS','B42-LEGAL-FAMILY-HELDOUT-CLEO'];\nfunction rel(a:number,b:number){return Math.abs(b-a)/Math.max(1,Math.abs(a));}\nfunction marketMove(a:any,b:any){const ks=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];return ks.reduce((s,k)=>s+rel(Number(a?.market?.prices?.[k]??0),Number(b?.market?.prices?.[k]??0)),0)/ks.length;}\nfunction oppResponse(a:any,b:any){return Math.abs(Number(b.opp.cash)-Number(a.opp.cash))/1000 + 2*Math.abs(Number(b.opp.land)-Number(a.opp.land)) + 0.25*Math.abs(Number(b.opp.crops)-Number(a.opp.crops)) + 0.5*Math.abs(Number(b.opp.animals)-Number(a.opp.animals));}\nfunction stats(xs:number[]){if(!xs.length)return{n:0,mean:null};const mean=xs.reduce((a,b)=>a+b,0)/xs.length;const variance=xs.length>1?xs.reduce((s,x)=>s+(x-mean)**2,0)/(xs.length-1):0;return{n:xs.length,mean,sd:Math.sqrt(variance)};}\nconst out:any={schema:'KAG_B42_LEGAL_REACTION_CANDIDATES_V1',evidence_state:'OBSERVATIONAL_LEGAL_TRACE_NOT_CAUSAL',jobs:{}};\nfor(const job of jobs){\n const q=await sqlite.execute({sql:`SELECT artifact_key FROM kag_autolab_artifacts WHERE job_id=? AND artifact_type IN ('JSON','JSON_INDEX') ORDER BY created_at DESC LIMIT 1`,args:[job]});\n const key=String(q.rows?.[0]?.artifact_key??''); if(!key){out.jobs[job]={error:'NO_ARTIFACT'};continue;}\n const raw=await blob.get(key); const txt=typeof raw==='string'?raw:await (raw as Blob).text(); const w=JSON.parse(txt); const games=w.result?.games??[];\n const agg:any={cash:{event:[],control:[]},land:{event:[],control:[]},crops:{event:[],control:[]},animals:{event:[],control:[]},lowMarketCash:{event:[],control:[]},lowMarketLand:{event:[],control:[]}};\n for(const g of games){const tr=g.legalTrace??[]; for(let i=1;i+1=500?agg.cash.event:agg.cash.control).push(r);(dl>=1?agg.land.event:agg.land.control).push(r);(dcr>=3?agg.crops.event:agg.crops.control).push(r);(da>=1?agg.animals.event:agg.animals.control).push(r);if(mm<0.03){(dc>=500?agg.lowMarketCash.event:agg.lowMarketCash.control).push(r);(dl>=1?agg.lowMarketLand.event:agg.lowMarketLand.control).push(r);}\n }}\n const summary:any={artifact_key:key,games:games.length};for(const [k,v] of Object.entries(agg) as any){const e=stats(v.event),c=stats(v.control);summary[k]={event:e,control:c,lift:(e.mean==null||c.mean==null)?null:e.mean-c.mean};}out.jobs[job]=summary;\n}\nconst compact:any={schema:out.schema,evidence_state:out.evidence_state,jobs:{}};for(const [k,v] of Object.entries(out.jobs) as any)compact.jobs[k]={games:v.games,cashLift:v.cash?.lift,lowMarketCashLift:v.lowMarketCash?.lift,landLift:v.land?.lift,lowMarketLandLift:v.lowMarketLand?.lift,cashEventN:v.cash?.event?.n,landEventN:v.land?.event?.n};console.log(JSON.stringify(compact,null,2));",[],[250,410],"88762ca0-8e4c-4064-92b8-f25ef93433a8","analyze_b41_legal_reaction_candidates_v1.ts","edcf67a4-ab38-11f1-b9d4-1607ee4eb77e",140,["D",1788839642040],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\n\nconst jobs=['B41-LEGAL-FAMILY-BROKER','B41-LEGAL-FAMILY-RITA','B41-LEGAL-FAMILY-LENA','B41-LEGAL-FAMILY-SILAS'];\nfunction rel(a:number,b:number){return Math.abs(b-a)/Math.max(1,Math.abs(a));}\nfunction marketMove(a:any,b:any){const ks=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];return ks.reduce((s,k)=>s+rel(Number(a?.market?.prices?.[k]??0),Number(b?.market?.prices?.[k]??0)),0)/ks.length;}\nfunction oppResponse(a:any,b:any){return Math.abs(Number(b.opp.cash)-Number(a.opp.cash))/1000 + 2*Math.abs(Number(b.opp.land)-Number(a.opp.land)) + 0.25*Math.abs(Number(b.opp.crops)-Number(a.opp.crops)) + 0.5*Math.abs(Number(b.opp.animals)-Number(a.opp.animals));}\nfunction stats(xs:number[]){if(!xs.length)return{n:0,mean:null};const mean=xs.reduce((a,b)=>a+b,0)/xs.length;const variance=xs.length>1?xs.reduce((s,x)=>s+(x-mean)**2,0)/(xs.length-1):0;return{n:xs.length,mean,sd:Math.sqrt(variance)};}\nconst out:any={schema:'KAG_B41_LEGAL_REACTION_CANDIDATES_V1',evidence_state:'OBSERVATIONAL_LEGAL_TRACE_NOT_CAUSAL',jobs:{}};\nfor(const job of jobs){\n const q=await sqlite.execute({sql:`SELECT artifact_key FROM kag_autolab_artifacts WHERE job_id=? AND artifact_type IN ('JSON','JSON_INDEX') ORDER BY created_at DESC LIMIT 1`,args:[job]});\n const key=String(q.rows?.[0]?.artifact_key??''); if(!key){out.jobs[job]={error:'NO_ARTIFACT'};continue;}\n const raw=await blob.get(key); const txt=typeof raw==='string'?raw:await (raw as Blob).text(); const w=JSON.parse(txt); const games=w.result?.games??[];\n const agg:any={cash:{event:[],control:[]},land:{event:[],control:[]},crops:{event:[],control:[]},animals:{event:[],control:[]},lowMarketCash:{event:[],control:[]},lowMarketLand:{event:[],control:[]}};\n for(const g of games){const tr=g.legalTrace??[]; for(let i=1;i+1=500?agg.cash.event:agg.cash.control).push(r);(dl>=1?agg.land.event:agg.land.control).push(r);(dcr>=3?agg.crops.event:agg.crops.control).push(r);(da>=1?agg.animals.event:agg.animals.control).push(r);if(mm<0.03){(dc>=500?agg.lowMarketCash.event:agg.lowMarketCash.control).push(r);(dl>=1?agg.lowMarketLand.event:agg.lowMarketLand.control).push(r);}\n }}\n const summary:any={artifact_key:key,games:games.length};for(const [k,v] of Object.entries(agg) as any){const e=stats(v.event),c=stats(v.control);summary[k]={event:e,control:c,lift:(e.mean==null||c.mean==null)?null:e.mean-c.mean};}out.jobs[job]=summary;\n}\nconsole.log(JSON.stringify(out,null,2));",[],[250,419],"6d65aceb-014f-4927-bc38-2f43141169eb","analyze_b39_legal_reaction_candidates.ts","3704976c-ab36-11f1-9363-1607ee4eb77e",139,["D",1788839642032],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\n\nconst jobs=['B41-LEGAL-FAMILY-BROKER','B41-LEGAL-FAMILY-RITA','B41-LEGAL-FAMILY-LENA','B41-LEGAL-FAMILY-SILAS'];\nfunction rel(a:number,b:number){return Math.abs(b-a)/Math.max(1,Math.abs(a));}\nfunction marketMove(a:any,b:any){const ks=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];return ks.reduce((s,k)=>s+rel(Number(a?.market?.prices?.[k]??0),Number(b?.market?.prices?.[k]??0)),0)/ks.length;}\nfunction oppResponse(a:any,b:any){return Math.abs(Number(b.opp.cash)-Number(a.opp.cash))/1000 + 2*Math.abs(Number(b.opp.land)-Number(a.opp.land)) + 0.25*Math.abs(Number(b.opp.crops)-Number(a.opp.crops)) + 0.5*Math.abs(Number(b.opp.animals)-Number(a.opp.animals));}\nfunction stats(xs:number[]){if(!xs.length)return{n:0,mean:null};return{n:xs.length,mean:xs.reduce((a,b)=>a+b,0)/xs.length};}\nconst out:any={schema:'KAG_B39_LEGAL_REACTION_CANDIDATES_V1',evidence_state:'OBSERVATIONAL_LEGAL_TRACE_NOT_CAUSAL',jobs:{}};\nfor(const job of jobs){\n const q=await sqlite.execute({sql:`SELECT artifact_key FROM kag_autolab_artifacts WHERE job_id=? AND artifact_type IN ('JSON','JSON_INDEX') ORDER BY created_at DESC LIMIT 1`,args:[job]});\n const key=String(q.rows?.[0]?.artifact_key??''); if(!key){out.jobs[job]={error:'NO_ARTIFACT'};continue;}\n const raw=await blob.get(key); const txt=typeof raw==='string'?raw:await (raw as Blob).text(); const w=JSON.parse(txt); const games=w.result?.games??[];\n const agg:any={cash:{event:[],control:[]},land:{event:[],control:[]},crops:{event:[],control:[]},animals:{event:[],control:[]},lowMarketCash:{event:[],control:[]},lowMarketLand:{event:[],control:[]}};\n for(const g of games){const tr=g.legalTrace??[]; for(let i=1;i+1=500?agg.cash.event:agg.cash.control).push(r); (dl>=1?agg.land.event:agg.land.control).push(r); (dcr>=3?agg.crops.event:agg.crops.control).push(r); (da>=1?agg.animals.event:agg.animals.control).push(r);\n if(mm<0.03){(dc>=500?agg.lowMarketCash.event:agg.lowMarketCash.control).push(r);(dl>=1?agg.lowMarketLand.event:agg.lowMarketLand.control).push(r);}\n }}\n const summary:any={artifact_key:key,games:games.length}; for(const [k,v] of Object.entries(agg) as any){const e=stats(v.event),c=stats(v.control);summary[k]={event:e,control:c,lift:(e.mean==null||c.mean==null)?null:e.mean-c.mean};} out.jobs[job]=summary;\n}\nconsole.log(JSON.stringify(out,null,2));",[],[250,427],"99ec052e-5ae4-494b-a92f-1ff6d8057164","analyze_b34_legal.ts","df8e7d2c-ab2b-11f1-85c0-1607ee4eb77e",126,["D",1788835314961],5,"import { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst key=\"artifacts/kaggriculture/autolab/20260908T023625Z_OUR-MIX11-BROKER-LEGAL-B36.json\";\nconst b:any=await blob.getJSON(key); const days=[0,3,6,9,12,15,18,21,24,27,29];\nconst out:any=[];\nfor(const d of days){const rows=b.result.games.map((g:any)=>g.timeline.find((x:any)=>x.day===d)).filter(Boolean);const mean=(f:(x:any)=>number)=>rows.reduce((s:number,x:any)=>s+f(x),0)/rows.length; const cm=(x:any,k:string)=>Number(x?.cropMix?.[k]??0);out.push({day:d,ourCash:+mean(x=>x.ours.cash).toFixed(1),refCash:+mean(x=>x.ref.cash).toFixed(1),ourLand:+mean(x=>x.ours.land).toFixed(2),refLand:+mean(x=>x.ref.land).toFixed(2),ourCrops:+mean(x=>x.ours.crops).toFixed(2),refCrops:+mean(x=>x.ref.crops).toFixed(2),ourPast:+mean(x=>x.ours.pastures).toFixed(2),refPast:+mean(x=>x.ref.pastures).toFixed(2),ourAnimals:+mean(x=>x.ours.animals).toFixed(2),refAnimals:+mean(x=>x.ref.animals).toFixed(2),ourW:+mean(x=>cm(x.ours,'WHEAT')).toFixed(2),refW:+mean(x=>cm(x.ref,'WHEAT')).toFixed(2),ourM:+mean(x=>cm(x.ours,'MELON')).toFixed(2),refM:+mean(x=>cm(x.ref,'MELON')).toFixed(2),ourS:+mean(x=>cm(x.ours,'STRAWBERRY')).toFixed(2),refS:+mean(x=>cm(x.ref,'STRAWBERRY')).toFixed(2)});}\nconsole.log(JSON.stringify(out));",[],[250,435],["D",1788834034761],[284,285,286,287,288,289,290,291,292,293,294],[250],"ca6135df-8bcb-4487-bc4c-e922393e1bcb","recover_b34_from_blob_v1.ts","fbc348cc-ab28-11f1-ad55-1607ee4eb77e",["D",1788832793590],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\n\nconst RECOVERY_VERSION='KAG_AUTOLAB_RECOVERY_V1_COMPACT_INDEX';\nconst TARGETS=[\n {jobId:'OUR-MIX11-BROKER-LEGAL-B34',prefix:'artifacts/kaggriculture/autolab/20260908T015219Z_OUR-MIX11-BROKER-LEGAL-B34'},\n {jobId:'OUR-MIX11-LENA-LEGAL-B34',prefix:'artifacts/kaggriculture/autolab/20260908T015226Z_OUR-MIX11-LENA-LEGAL-B34'},\n];\n\nasync function sha256(s:string){const b=await crypto.subtle.digest('SHA-256',new TextEncoder().encode(s));return Array.from(new Uint8Array(b)).map(x=>x.toString(16).padStart(2,'0')).join('')}\nfunction bytes(s:string){return new TextEncoder().encode(s).byteLength}\nfunction compactResult(result:any,key:string,n:number,h:string){const {games,...summary}=result??{};return{...summary,gamesOmittedFromSqlite:Array.isArray(games)?games.length:0,fullArtifactKey:key,fullArtifactBytes:n,fullArtifactSha256:h,recoveryEvidence:'FULL_BLOB_ALREADY_WRITTEN_BEFORE_SQL_INDEX_FAILURE'}}\n\nconst recovered:any[]=[];\n for(const t of TARGETS){\n const already=await sqlite.execute({sql:`SELECT run_id,status,artifact_prefix,evidence_state FROM kag_autolab_runs WHERE job_id=? AND status='DONE' AND artifact_prefix=? LIMIT 1`,args:[t.jobId,t.prefix]});\n if(already.rows?.length){recovered.push({jobId:t.jobId,status:'ALREADY_RECOVERED',run:already.rows[0]});continue}\n const jsonKey=`${t.prefix}.json`,mdKey=`${t.prefix}.md`;\n const fullJson=await (await blob.get(jsonKey)).text(),md=await (await blob.get(mdKey)).text();\n const parsed=JSON.parse(fullJson),fullBytes=bytes(fullJson),fullHash=await sha256(fullJson),mdHash=await sha256(md);\n if(parsed?.job?.job_id!==t.jobId)throw new Error(`wrong blob target ${t.jobId}: got ${parsed?.job?.job_id}`);\n if(!parsed?.result||Number(parsed.result.episodes??0)<=0)throw new Error(`blob lacks computed result for ${t.jobId}`);\n const compact={...parsed,worker:RECOVERY_VERSION,result:compactResult(parsed.result,jsonKey,fullBytes,fullHash)};\n const resultJson=JSON.stringify(compact);\n const index=JSON.stringify({schema:'KAG_AUTOLAB_BLOB_RECOVERY_INDEX_V1',recoveryVersion:RECOVERY_VERSION,jobId:t.jobId,artifactKey:jsonKey,fullArtifactBytes:fullBytes,fullArtifactSha256:fullHash,sqlResultCompacted:true,omittedTopLevelField:'result.games',episodes:Number(parsed.result.episodes??0),sourceComputeWorker:parsed.worker,sourceComputeCore:parsed.core});\n const indexHash=await sha256(index),runId=crypto.randomUUID();\n const hist=await sqlite.execute({sql:`SELECT COUNT(*) n FROM kag_autolab_runs WHERE job_id=? AND status='FAILED'`,args:[t.jobId]});\n const failedAttempts=Number(hist.rows?.[0]?.n??0);\n await sqlite.batch([\n {sql:`INSERT INTO kag_autolab_runs(run_id,job_id,job_type,status,started_at,finished_at,duration_ms,result_json,artifact_prefix,worker_version,evidence_state) VALUES(?,?,?,'DONE',CURRENT_TIMESTAMP,CURRENT_TIMESTAMP,0,?,?,?,'AUTOLAB_COMPUTE_RECOVERED_FROM_BLOB_NOT_CHAMPION_PROOF')`,args:[runId,t.jobId,String(parsed.job.job_type),resultJson,t.prefix,RECOVERY_VERSION]},\n {sql:`UPDATE kag_autolab_queue SET status='DONE',attempts=?,finished_at=CURRENT_TIMESTAMP,updated_at=CURRENT_TIMESTAMP,evidence_state='AUTOLAB_COMPUTE_RECOVERED_FROM_BLOB_NOT_CHAMPION_PROOF' WHERE job_id=?`,args:[failedAttempts,t.jobId]},\n {sql:`INSERT INTO kag_autolab_artifacts(artifact_id,run_id,job_id,artifact_type,artifact_key,content_type,content_text,sha256,evidence_state) VALUES(?,?,?,?,?,?,?,?,?)`,args:[crypto.randomUUID(),runId,t.jobId,'JSON_INDEX',jsonKey,'application/vnd.kag.autolab.index+json',index,indexHash,'AUTOLAB_COMPUTE_RECOVERED_FROM_BLOB_NOT_CHAMPION_PROOF']},\n {sql:`INSERT INTO kag_autolab_artifacts(artifact_id,run_id,job_id,artifact_type,artifact_key,content_type,content_text,sha256,evidence_state) VALUES(?,?,?,?,?,?,?,?,?)`,args:[crypto.randomUUID(),runId,t.jobId,'MARKDOWN',mdKey,'text/markdown',md,mdHash,'AUTOLAB_COMPUTE_RECOVERED_FROM_BLOB_NOT_CHAMPION_PROOF']},\n {sql:`INSERT OR REPLACE INTO kag_autolab_state(state_key,state_json,updated_at) VALUES('last_recovery',?,CURRENT_TIMESTAMP)`,args:[JSON.stringify({job_id:t.jobId,run_id:runId,artifact_prefix:t.prefix,recovery_version:RECOVERY_VERSION,failed_attempts_before_recovery:failedAttempts,full_artifact_bytes:fullBytes,full_artifact_sha256:fullHash})]}\n ]);\n recovered.push({jobId:t.jobId,status:'RECOVERED',runId,artifactPrefix:t.prefix,fullBytes,fullHash,failedAttempts,result:{episodes:parsed.result.episodes,wins:parsed.result.wins,losses:parsed.result.losses,ties:parsed.result.ties,avgMargin:parsed.result.avgMargin,avgOurBank:parsed.result.avgOurBank,avgRefBank:parsed.result.avgRefBank},sqlBytes:bytes(resultJson)});\n }\nconsole.log(JSON.stringify({status:'PASS',recoveryVersion:RECOVERY_VERSION,recovered},null,2));\n",[],[257,447],["D",1788832793590],[282],[257],"a3bf3a3f-3073-44d4-9235-f28bd1f7fc34","kaggriculture_livestock_portfolio.ts","01a07b04-05eb-7787-ad0a-2c43997c15cf",["D",1788770256365],"export type AnimalName='COW'|'SHEEP'|'GOOSE';\nexport type ProductName='MILK'|'WOOL'|'EGG'|'WHEAT';\n\nexport const ANIMAL_ECONOMICS:Record}>={\n GOOSE:{cost:300,first:4,interval:1,product:'EGG'},\n COW:{cost:400,first:8,interval:2,product:'MILK'},\n SHEEP:{cost:500,first:6,interval:3,product:'WOOL'},\n};\n\nconst MARKET:any={\n WHEAT:{base:25,I0:10000,T:400,below_func:'sqrt',below_target:.80,above_func:'log',above_target:.20},\n EGG:{base:50,I0:10000,T:332,below_func:'hinge',below_target:.40,above_func:'log',above_target:.20},\n MILK:{base:160,I0:10000,T:122,below_func:'sqrt',below_target:.60,above_func:'linear',above_target:1.60},\n WOOL:{base:200,I0:10000,T:105,below_func:'log',below_target:.20,above_func:'sq',above_target:3.20},\n};\nconst SHOPS:Record={\n BAKERY:['EGG','WHEAT'],PIZZA_SHOP:['MILK','TOMATO','WHEAT'],BRUNCH_SPOT:['EGG','WHEAT','STRAWBERRY'],YARN_STORE:['WOOL'],ICE_CREAM_SHOP:['STRAWBERRY','MILK','WHEAT'],PET_CAFE:['CARROT'],SMOOTHIE_SHOP:['STRAWBERRY','MILK'],FARMERS_MARKET:['WHEAT','CARROT','TOMATO','STRAWBERRY']\n};\nconst SHOP_NAMES=Object.keys(SHOPS).sort();\nconst hingeGain=8;\nfunction shape(fn:string,x:number,T:number){x=Math.max(0,x);if(fn==='linear')return x;if(fn==='sq')return x*x;if(fn==='sqrt')return Math.sqrt(x);if(fn==='log')return Math.log(1+x);if(fn==='hinge'){const u=x/T;return u+hingeGain*Math.max(0,u-1)**2;}return x;}\nexport function marketPrice(item:ProductName,inventory:number){const p=MARKET[item];const x=Math.abs(inventory-p.I0);const below=inventorys+shopMultiplier(sh,item),0)*shopTicks;\n // Town center consumes every product except fertilizer once per day.\n const centerTicks=Math.max(0,Math.floor((episodeSteps-1)/24)-Math.ceil(step/24)+1);\n demand += centerTicks;\n // Future shop slots unlock at end of days 3,6,...24. Expected contribution is uniform over 8 shop types.\n const avgMult=SHOP_NAMES.reduce((s,sh)=>s+shopMultiplier(sh,item),0)/SHOP_NAMES.length;\n for(const unlockDay of [3,6,9,12,15,18,21,24]){\n if(unlockDay<=day || known.length>=8)continue;\n const unlockStep=unlockDay*24;\n const ticks=Math.max(0,Math.floor((episodeSteps-1)/4)-Math.ceil(unlockStep/4)+1);\n demand += avgMult*ticks;\n }\n return demand;\n}\n\nexport function caredProductionUnits(animal:AnimalName,currentDay:number,horizonDay=30){\n const a=ANIMAL_ECONOMICS[animal];const first=currentDay+a.first;if(first>=horizonDay)return 0;\n const events=1+Math.floor((horizonDay-1-first)/a.interval);\n // With daily feed+care, pending care bonus makes productive refreshes approximately 2 units/event.\n return Math.max(0,2*events);\n}\n\nexport function visibleAnimalSupplyRemaining(farm:any,animal:AnimalName,currentDay:number,horizonDay=30){\n const a=ANIMAL_ECONOMICS[animal];let units=0;\n for(const row of farm?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object'||t.animal!==animal)continue;const placed=Number(t.placed_day??currentDay);const first=placed+a.first;let next=first;while(next=horizonDay)continue;units+=2*(1+Math.floor((horizonDay-1-next)/a.interval));}\n return units;\n}\n\nexport type AnimalScoreInput={\n obs:any; animal:AnimalName; cashBuffer?:number; horizonDay?:number; discountPerDay?:number; strategicWeight?:number;\n liquidityFeedFloatDays?:number; liquidityStockCredit?:boolean;\n};\n\n/** Marginal NPV-like score for purchasing one more animal now. Designed for ranking, not accounting truth. */\nexport function scoreAnimalInvestment(x:AnimalScoreInput){\n const {obs,animal}=x;const a=ANIMAL_ECONOMICS[animal];const day=Number(obs?.day??0),h=x.horizonDay??30;\n const product=a.product;const inv=Number(obs?.market?.inventory?.[product]??10000);const wheatInv=Number(obs?.market?.inventory?.WHEAT??10000);\n const currentPrice=marketPrice(product,inv);const wheatPrice=marketPrice('WHEAT',wheatInv);\n const units=caredProductionUnits(animal,day,h);const feedDays=Math.max(0,h-day);\n const townDemand=expectedTownDemandRemaining(obs,product);\n const me=Number(obs?.player??0),farms=obs?.farms??[],mine=farms?.[me]??null,opp=farms.length===2?farms[1-me]:null;\n const ownCommittedSupply=visibleAnimalSupplyRemaining(mine,animal,day,h);\n const opponentSupply=visibleAnimalSupplyRemaining(opp,animal,day,h);\n // Cournot-like marginal accounting: compare the projected market before vs after the extra animal.\n // Extra supply changes the price received on OUR already-committed output and on the rival's output too.\n const baseProjectedInv=inv - 0.5*townDemand + 0.5*ownCommittedSupply + 0.5*opponentSupply;\n const priceBeforeMarginal=marketPrice(product,baseProjectedInv);\n const projectedInv=baseProjectedInv + 0.5*units;\n const projectedPrice=marketPrice(product,projectedInv);\n const avgPrice=(currentPrice+projectedPrice)/2;\n const disc=Math.pow(x.discountPerDay??0.997,Math.max(0,a.first));\n const newUnitsRevenue=units*avgPrice*disc;\n const ownPriceImpact=0.5*ownCommittedSupply*(projectedPrice-priceBeforeMarginal)*disc;\n const rivalPriceImpact=0.5*opponentSupply*(projectedPrice-priceBeforeMarginal)*disc;\n const relativeMarketContribution=newUnitsRevenue+ownPriceImpact-(x.strategicWeight??1.0)*rivalPriceImpact;\n const feedCost=feedDays*wheatPrice;\n const cash=Number(farms?.[me]?.money??0),buffer=x.cashBuffer??400;\n const postPurchaseCash=cash-a.cost;\n // Financial-feasibility gate mirrored from the reference scheduler: a positive-NPV animal is useless if the farm cannot fund its feed float and capital sequence.\n let flock=0;for(const row of mine?.tiles??[])for(const t of row??[])if(t&&typeof t==='object'&&t.animal)flock++;\n for(const k of ['COW','SHEEP','GOOSE'])flock+=Number(obs?.private?.shed?.[k]??0);\n const boughtLand=Math.max(0,(mine?.unlocked_quadrants??['NW']).length-1);\n const landPrices=[1000,2000,4000];\n const landReserve=(flock>=10 && boughtLand<2)?landPrices[boughtLand]:0;\n const feedFloatDays=x.liquidityFeedFloatDays??16;\n const ownedWheat=Number(obs?.private?.shed?.WHEAT??0)+(obs?.private?.inventories??[]).reduce((s:number,inv:any)=>s+Number(inv?.WHEAT??0),0);\n const stockCredit=(x.liquidityStockCredit??false)?ownedWheat*wheatPrice:0;\n const requiredFeedLiquidity=Math.max(0,(flock+1)*wheatPrice*feedFloatDays-stockCredit);\n const requiredLiquidity=a.cost+buffer+landReserve+requiredFeedLiquidity;\n const financeable=cash>=requiredLiquidity;\n const liquidityPenalty=financeable?0:1e6+(requiredLiquidity-cash)*1000;\n const net=relativeMarketContribution-a.cost-feedCost-liquidityPenalty;\n const timeToCash=a.first;\n return {animal,product,day,units,events:units/2,timeToCash,currentPrice,priceBeforeMarginal,projectedPrice,townDemand,ownCommittedSupply,opponentSupply,feedDays,wheatPrice,newUnitsRevenue,ownPriceImpact,rivalPriceImpact,relativeMarketContribution,animalCost:a.cost,feedCost,flock,boughtLand,landReserve,feedFloatDays,ownedWheat,stockCredit,requiredFeedLiquidity,requiredLiquidity,financeable,liquidityPenalty,net,roi:net/Math.max(1,a.cost),postPurchaseCash};\n}\n\nexport function rankAnimalInvestments(obs:any,opts?:Omit){\n return (['COW','SHEEP','GOOSE'] as AnimalName[]).map(animal=>scoreAnimalInvestment({obs,animal,...opts})).sort((a,b)=>b.net-a.net);\n}\n\nexport function choosePastureAnimal(obs:any,opts?:Omit){\n const xs=(['COW','SHEEP'] as AnimalName[]).map(animal=>scoreAnimalInvestment({obs,animal,...opts})).sort((a,b)=>b.net-a.net);\n return {choice:xs[0].net>0?xs[0].animal:null,ranking:xs};\n}\n",[],[262,457],"95028355-83db-4c7e-8c87-c4ce6c92018a","kaggriculture_engine_loader.ts","01a07b04-05eb-7787-ad0a-2a9de8bd6bc8",["D",1788770256365],"const RAW_ROOT = \"https://raw.githubusercontent.com/Kaggle/kaggle-environments/master/kaggle_environments/envs/kaggriculture/\";\nconst ENGINE_BASE = `${RAW_ROOT}visualizer/playable/src/engine/`;\nconst SPEC_URL = `${RAW_ROOT}kaggriculture.json`;\nconst ENGINE_NAMES = [\"types\", \"constants\", \"market\", \"rng\", \"state\", \"interpreter\"] as const;\ntype EngineName = typeof ENGINE_NAMES[number];\n\nfunction toDataUrl(source: string): string {\n const bytes = new TextEncoder().encode(source);\n let binary = \"\";\n for (let i = 0; i < bytes.length; i += 0x8000) {\n binary += String.fromCharCode(...bytes.subarray(i, i + 0x8000));\n }\n return `data:application/typescript;base64,${btoa(binary)}`;\n}\n\nfunction stripTypeImports(src: string): string {\n return src.replace(/import\\s+type\\s+\\{[\\s\\S]*?\\}\\s+from\\s+['\"][^'\"]+['\"];?\\s*/g, \"\");\n}\n\nexport async function loadOfficialKaggricultureEngine() {\n const raw = new Map();\n for (const name of ENGINE_NAMES) {\n const res = await fetch(`${ENGINE_BASE}${name}.ts`);\n if (!res.ok) throw new Error(`fetch official ${name}.ts failed: ${res.status}`);\n raw.set(name, await res.text());\n }\n const specRes = await fetch(SPEC_URL);\n if (!specRes.ok) throw new Error(`fetch official kaggriculture.json failed: ${specRes.status}`);\n const specText = await specRes.text();\n JSON.parse(specText);\n\n const urls = new Map();\n for (const name of ENGINE_NAMES) {\n let src = stripTypeImports(raw.get(name)!);\n if (name === \"constants\") {\n src = src.replace(\n /import\\s+spec\\s+from\\s+['\"]\\.\\.\\/\\.\\.\\/\\.\\.\\/\\.\\.\\/kaggriculture\\.json['\"];?\\s*/,\n `const spec = ${specText};\\n`,\n );\n }\n src = src.replace(\n /import\\s+\\{([\\s\\S]*?)\\}\\s+from\\s+['\"]\\.\\/([A-Za-z0-9_-]+)['\"];?\\s*/g,\n (_all, symbols: string, dep: string) => {\n const depUrl = urls.get(dep as EngineName);\n if (!depUrl) throw new Error(`${name}: dependency ${dep} not compiled`);\n return `import {${symbols}} from ${JSON.stringify(depUrl)};\\n`;\n },\n );\n const unresolved = [...src.matchAll(/from\\s+['\"](\\.\\.?\\/[^'\"]+)['\"]/g)].map((m) => m[1]);\n if (unresolved.length) throw new Error(`${name}: unresolved imports ${unresolved.join(\", \")}`);\n urls.set(name, toDataUrl(src));\n }\n\n const [types, constants, market, rng, state, interpreter] = await Promise.all([\n import(urls.get(\"types\")!),\n import(urls.get(\"constants\")!),\n import(urls.get(\"market\")!),\n import(urls.get(\"rng\")!),\n import(urls.get(\"state\")!),\n import(urls.get(\"interpreter\")!),\n ]);\n\n return {\n types,\n constants,\n market,\n rng,\n state,\n interpreter,\n sourceMeta: Object.fromEntries(ENGINE_NAMES.map((name) => [name, { bytes: raw.get(name)!.length }])),\n };\n}\n\nexport function observationFor(state: any, player: number) {\n return {\n player,\n step: state.step,\n day: state.day,\n hour: state.hour,\n numAgents: state.numAgents,\n farms: state.farms,\n private: state.privates[player],\n market: state.market,\n town: state.town,\n };\n}\n",[],[262,464],"aa61b469-850a-4ec7-b66d-06505822f42e",["D",1788840071146],106,[],[262,33],["D",1788770256365],[278,279,280],[262],["D",1788770222210],["D",1789550457365],{"_99":98,"_107":103},{"_99":98,"_100":101,"_102":103,"_18":56,"_104":105,"_106":25},{"_13":88,"_32":89,"_44":43,"_90":45,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":-5,"_96":46,"_97":98},"ctx",{"_81":-5,"_127":516,"_517":518,"_519":520,"_521":25,"_522":25,"_523":25,"_524":153,"_525":-5,"_526":-7,"_527":-7,"_528":62,"_529":25,"_530":25,"_531":-5,"_532":25,"_533":25,"_534":25,"_535":-5},"ENV",{"_487":488,"_489":490,"_491":89,"_492":493,"_494":495,"_496":497,"_498":499,"_500":501,"_502":503,"_504":505,"_506":507,"_508":509,"_510":511,"_512":513,"_514":515},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","811aa22498c9b0b5a47e8d778de579cdb990f332","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v151