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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 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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');",[190],"a67bd9bc-605a-4b80-967b-0854129968bf","legal_top_hierarchy_heldout_v1.ts","01a07eb9-e5df-77ab-84d3-8a76e0ee1545",["D",1788832507378],"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');",[196],"61ab8a8f-c00c-463f-8c80-95ea5dbd153c","legal_top_crosspolicy_ood_v1.ts","01a07eb9-e5df-77ab-84d3-87a4c026f6ec",["D",1788832507378],"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 ${bad}`);const q=classify(g.legalTrace);ps.push({truth:ref,pred:q.pred,stage:q.stage,margin:q.margin,seed:g.seed,seat:g.ourSeat})}}const per:any={};for(const p of ps){per[p.truth]=per[p.truth]??{n:0,ok:0};per[p.truth].n++;if(p.truth===p.pred)per[p.truth].ok++}out.variants[variant]={n:ps.length,accuracy:ps.filter(p=>p.truth===p.pred).length/ps.length,perRef:Object.fromEntries(Object.entries(per).map(([k,v]:any)=>[k,v.ok/v.n])),errors:ps.filter(p=>p.truth!==p.pred),minBLMargin:Math.min(...ps.filter(p=>p.stage==='D12_BROKER_LENA').map(p=>p.margin))}}\nif(!out.mutationControl.detected)out.status='FAIL';console.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[202],"a49b0153-06ab-4f57-b6a2-524191d399ff","legal_observer_trace_selftest_v1.ts","01a07eb9-e5df-77ab-84d3-81ff4b4b2fd2",["D",1788832507378],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\nconst expected:any={'100577:0':[33289,15630],'100577:1':[33247,15630]};\nconst forbiddenKeys=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbiddenKeys.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nconst r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'melon_mateo.py',seeds:[100577],legalTelemetry:'FULL'});\nconst problems:string[]=[];\nif(AUTOLAB_CORE_VERSION!=='KAG_AUTOLAB_CORE_V22_LEGAL_TELEMETRY_SEPARATION')problems.push(`core=${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('; '));",[208],"3bf7cddf-f242-4fef-aa71-6454a6e85b11","legal_broker_lena_transition_values_v1.ts","01a07eb9-e5df-77ab-84d3-7cd88bc47c97",["D",1788832507378],"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));",[214],"513e413f-182b-4a46-9aa3-a4d4b0ec0e5d","legal_broker_lena_localdelta_crosspolicy_v1.ts","01a07eb9-e5df-77ab-84d3-7aa0798f6504",["D",1788832507378],"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');",[220],"ed372959-49ec-40cf-b58e-372e98e158e4","legal_broker_lena_h2_compact_v1.ts","01a07eb9-e5df-77ab-84d3-7728b90226b8",["D",1788832507378],"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));",[226],"71199746-7afa-4ac0-872a-3832ac239f21","legal_broker_lena_crosspolicy_firstdiff_v1.ts","01a07eb9-e5df-77ab-84d3-7024be0fbd5e",["D",1788832507378],"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));",[232],"097aa8e4-a2ab-40d2-ba23-6164379d0feb","core_v21_behavior_signature.ts","01a07eb9-e5df-77ab-84d3-6d78897cdc1d",["D",1788832507378],"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));",[238],"be66f8a7-2119-4193-853e-5560fe5729b2","README.md","01a07eb9-e5df-77ab-84d3-6a08f76228dd",["D",1788832507378],"# Kaggriculture Autolab Worker\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 incorporated.\n",[244],"1a891c35-83f1-4201-9e78-63a56656c298","maintenance","f096f214-ab28-11f1-aa32-1607ee4eb77e",10,["D",1788832774850],"directory",[250],"c767a15f-a963-46b4-b758-7d77fb4be6d1","lib","01a07eb9-e5df-77ab-84d3-65e49ee90613",["D",1788832507378],[257],"pulls","branches",8,"forks","envVars",{"_269":20,"_271":20},"connections",{"_269":20,"_270":20},"count","unfilledCount","emptyCount",{"_32":256,"_13":257,"_153":258,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":368,"_41":20,"_163":254,"_165":-5,"_63":26,"_167":-5,"_293":369,"_109":370},{"_32":361,"_13":362,"_153":363,"_155":258,"_156":56,"_157":172,"_159":160,"_34":364,"_41":20,"_163":174,"_165":365,"_63":26,"_167":-5,"_293":366,"_109":367},{"_32":354,"_13":355,"_153":356,"_155":258,"_156":56,"_157":172,"_159":160,"_34":357,"_41":20,"_163":174,"_165":358,"_63":26,"_167":-5,"_293":359,"_109":360},{"_32":347,"_13":348,"_153":349,"_155":258,"_156":56,"_157":172,"_159":160,"_34":350,"_41":20,"_163":174,"_165":351,"_63":26,"_167":-5,"_293":352,"_109":353},{"_32":249,"_13":250,"_153":251,"_155":-5,"_156":56,"_157":252,"_159":160,"_34":344,"_41":20,"_163":254,"_165":-5,"_63":26,"_167":-5,"_293":345,"_109":346},{"_32":335,"_13":336,"_153":337,"_155":251,"_156":56,"_157":338,"_159":160,"_34":339,"_41":340,"_163":174,"_165":341,"_63":26,"_167":-5,"_293":342,"_109":343},{"_32":243,"_13":244,"_153":245,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":332,"_41":20,"_163":121,"_165":247,"_63":26,"_167":-5,"_293":333,"_109":334},{"_32":237,"_13":238,"_153":239,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":329,"_41":20,"_163":174,"_165":241,"_63":26,"_167":-5,"_293":330,"_109":331},{"_32":231,"_13":232,"_153":233,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":326,"_41":20,"_163":174,"_165":235,"_63":26,"_167":-5,"_293":327,"_109":328},{"_32":225,"_13":226,"_153":227,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":323,"_41":20,"_163":174,"_165":229,"_63":26,"_167":-5,"_293":324,"_109":325},{"_32":219,"_13":220,"_153":221,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":320,"_41":20,"_163":174,"_165":223,"_63":26,"_167":-5,"_293":321,"_109":322},{"_32":213,"_13":214,"_153":215,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":317,"_41":20,"_163":174,"_165":217,"_63":26,"_167":-5,"_293":318,"_109":319},{"_32":207,"_13":208,"_153":209,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":314,"_41":20,"_163":174,"_165":211,"_63":26,"_167":-5,"_293":315,"_109":316},{"_32":201,"_13":202,"_153":203,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":311,"_41":20,"_163":174,"_165":205,"_63":26,"_167":-5,"_293":312,"_109":313},{"_32":195,"_13":196,"_153":197,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":308,"_41":20,"_163":174,"_165":199,"_63":26,"_167":-5,"_293":309,"_109":310},{"_32":189,"_13":190,"_153":191,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":305,"_41":20,"_163":174,"_165":193,"_63":26,"_167":-5,"_293":306,"_109":307},{"_32":183,"_13":184,"_153":185,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":302,"_41":20,"_163":174,"_165":187,"_63":26,"_167":-5,"_293":303,"_109":304},{"_32":177,"_13":178,"_153":179,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":299,"_41":20,"_163":174,"_165":181,"_63":26,"_167":-5,"_293":300,"_109":301},{"_32":169,"_13":170,"_153":171,"_155":-5,"_156":56,"_157":172,"_159":160,"_34":296,"_41":20,"_163":174,"_165":175,"_63":26,"_167":-5,"_293":297,"_109":298},{"_32":151,"_13":152,"_153":154,"_155":-5,"_156":56,"_157":158,"_159":160,"_34":292,"_41":162,"_163":164,"_165":166,"_63":26,"_167":-5,"_293":294,"_109":295},["D",1788832573799],"children",[],[152],["D",1788832507378],[],[170],["D",1788832507378],[],[178],["D",1788832507378],[],[184],["D",1788832507378],[],[190],["D",1788832507378],[],[196],["D",1788832507378],[],[202],["D",1788832507378],[],[208],["D",1788832507378],[],[214],["D",1788832507378],[],[220],["D",1788832507378],[],[226],["D",1788832507378],[],[232],["D",1788832507378],[],[238],["D",1788832507378],[],[244],"a347e7ff-2d8f-4017-b957-077ed9ec9f1b","recover_b34_from_blob_v1.ts","957a1032-ab28-11f1-9449-1607ee4eb77e",11,["D",1788832779726],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 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",[],[250,336],["D",1788832774850],[277],[250],"6aecc089-8ca7-4ecf-a1d9-2c86a11fa6c1","kaggriculture_livestock_portfolio.ts","01a07eb9-e5df-77ab-84d3-60454349cd26",["D",1788832507378],"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",[],[257,348],"493e55f2-363e-4340-8580-78fe4670bc3d","kaggriculture_engine_loader.ts","01a07eb9-e5df-77ab-84d3-5f7a9070aa44",["D",1788832507378],"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",[],[257,355],"dfba4b23-6591-47d5-93c1-b225dd874357","kag_autolab_core.ts","01a07eb9-e5df-77ab-84d3-58e769202327",["D",1788832507378],"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_V22_LEGAL_TELEMETRY_SEPARATION';\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};\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",[],[257,362],["D",1788832507378],[273,274,275],[257],["D",1788770222210],["D",1789550457365],{"_11":12,"_108":104},{"_11":12,"_101":102,"_103":104,"_73":74,"_105":106,"_107":26},{"_41":55,"_13":16,"_32":56,"_39":40,"_43":33,"_44":57,"_58":50,"_59":40,"_60":53,"_54":14,"_51":12},"ctx",{"_96":-5,"_130":409,"_410":411,"_412":413,"_414":26,"_415":26,"_416":26,"_417":160,"_418":-5,"_419":-7,"_420":-7,"_421":20,"_422":26,"_423":26,"_424":-5,"_425":26,"_426":26,"_427":26,"_428":-5},"ENV",{"_380":381,"_382":383,"_384":38,"_385":386,"_387":388,"_389":390,"_391":392,"_393":394,"_395":396,"_397":398,"_399":400,"_401":402,"_403":404,"_405":406,"_407":408},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","e87eb04e707cf64e7e532c8e8ec395f209e17f15","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"]

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