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{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 tickStart=Date.now(),processed:any[]=[];while(processed.lengthNumber(x??0)||0;\nconst sh=(s:any,side:'me'|'opp')=>s?.publicTileLifecycle?.[side]?.animals?.SHEEP??{};\nconst sell=(s:any)=>n(s?.ourRequestedAction?.sellByItem?.WOOL);\nfunction demand(s:any){const yarn=n(s?.townScenario?.shopCounts?.YARN_STORE),h=n(s?.hour);return{yarnExposure:yarn*(h%4===0?1:0),townExposure:h===0?1:0}}\nfunction rows(g:any){const t=g.scenarioTrace??[],o:any[]=[];for(let i=1;i=27)continue;const d=demand(b),am=sh(a,'me'),bm=sh(b,'me'),ao=sh(a,'opp'),bo=sh(b,'opp');o.push({seed:g.seed,seat:g.ourSeat,dInv:n(b.market?.inventory?.WOOL)-n(a.market?.inventory?.WOOL),dPrice:n(b.market?.prices?.WOOL)-n(a.market?.prices?.WOOL),ourSell:sell(a),ourYieldDelta:n(bm.yieldSum)-n(am.yieldSum),oppYieldDelta:n(bo.yieldSum)-n(ao.yieldSum),ourPendingDelta:n(bm.pendingCare)-n(am.pendingCare),oppPendingDelta:n(bo.pendingCare)-n(ao.pendingCare),yarnExposure:d.yarnExposure,townExposure:d.townExposure})}return o}\nfunction ols(rs:any[],keys:string[]){const X=rs.map(r=>[1,...keys.map(k=>n(r[k]))]),y=rs.map(r=>n(r.dInv)),p=keys.length+1,A=Array.from({length:p},()=>Array(p).fill(0)),B=Array(p).fill(0);for(let i=0;iMath.abs(A[m][i]))m=j;[A[i],A[m]]=[A[m],A[i]];[B[i],B[m]]=[B[m],B[i]];const z=A[i][i];if(Math.abs(z)<1e-9)continue;for(let k=i;ka+b,0)/y.length,pred=X.map(r=>r.reduce((s,v,j)=>s+v*B[j],0)),sse=y.reduce((s,v,i)=>s+(v-pred[i])**2,0),sst=y.reduce((s,v)=>s+(v-ym)**2,0);return{n:y.length,keys:['intercept',...keys],beta:B,r2:sst?1-sse/sst:null}}\nfunction summary(rs:any[]){const base=['ourSell','ourYieldDelta','ourPendingDelta','yarnExposure','townExposure'],plus=[...base,'oppYieldDelta','oppPendingDelta'],a=ols(rs,base),b=ols(rs,plus),ip=rs.filter(r=>r.dInv&&r.dPrice);return{n:rs.length,nonzero:{ourYield:rs.filter(r=>r.ourYieldDelta).length,oppYield:rs.filter(r=>r.oppYieldDelta).length,ourPending:rs.filter(r=>r.ourPendingDelta).length,oppPending:rs.filter(r=>r.oppPendingDelta).length},base:a,withOpponentLifecycle:b,deltaR2:(b.r2??0)-(a.r2??0),inverseInventoryPrice:`${ip.filter(r=>Math.sign(r.dInv)===-Math.sign(r.dPrice)).length}/${ip.length}`,byWorld:Object.fromEntries([...new Set(rs.map(r=>`${r.seed}:${r.seat}`))].map(k=>{const z=rs.filter(r=>`${r.seed}:${r.seat}`===k),x=ols(z,base),y=ols(z,plus);return[k,{n:z.length,oppYieldNonzero:z.filter(r=>r.oppYieldDelta).length,deltaR2:(y.r2??0)-(x.r2??0)}]}))}}\nconst out:any={schema:'KAG_WOOL_TEMPORAL_CONSERVATION_V4',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'REPAIRED_PUBLIC_LIFECYCLE_MEDIATION_DIAGNOSTIC_NOT_CAUSAL',limitations:['yield/pending are public lifecycle state changes, not opponent private collection/sale','demand terms are exposure timing, not exact executed demand ledger'],targets:{}};for(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},...summary(r.games.flatMap(rows))}}console.log(JSON.stringify(out,null,2));",[],[329],"6af80bae-1ba7-4751-b04a-569e2404eb8a","wool_temporal_conservation_v3.ts","4d63856e-abb2-11f1-bac0-1607ee4eb77e",153,["D",1788891771568],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[110701,110713,110727,110739];\nconst targets=['broker_bea.py','rancher_rita.py'];\nfunction n(x:any){return Number(x??0)||0}\nfunction sheepYield(x:any){return n(x?.publicTileLifecycle?.animals?.SHEEP?.yieldSum)}\nfunction sheepCount(x:any){return n(x?.publicTileLifecycle?.animals?.SHEEP?.count)}\nfunction ourWoolSell(x:any){return n(x?.ourRequestedAction?.sellByItem?.WOOL)}\nfunction demandExposure(x:any){const shops=x?.townScenario?.shopCounts??{};const yarn=n(shops.YARN_STORE);const townCenterTick=n(x?.hour)===0?1:0;const shopTick=n(x?.hour)%4===0?1:0;return {yarnTick:yarn*shopTick,townCenterTick};}\nfunction rows(g:any){const tr=g.scenarioTrace??[],out:any[]=[];for(let i=1;i=27)continue;const inv0=n(a?.market?.inventory?.WOOL),inv1=n(b?.market?.inventory?.WOOL),p0=n(a?.market?.prices?.WOOL),p1=n(b?.market?.prices?.WOOL);const dyMe=sheepYield(b?.publicTileLifecycle?.me)-sheepYield(a?.publicTileLifecycle?.me),dyOpp=sheepYield(b?.publicTileLifecycle?.opp)-sheepYield(a?.publicTileLifecycle?.opp),d=demandExposure(b);out.push({seed:g.seed,seat:g.ourSeat,day,hour:n(b.hour),dInv:inv1-inv0,dPrice:p1-p0,ourSell:ourWoolSell(a),ourYieldDelta:dyMe,oppYieldDelta:dyOpp,ourSheep:sheepCount(a),oppSheep:sheepCount(a),yarnTick:d.yarnTick,townCenterTick:d.townCenterTick});}return out}\nfunction ols(rs:any[],keys:string[]){if(!rs.length)return {keys,n:0,r2:null,beta:[]};const X=rs.map(r=>[1,...keys.map(k=>n(r[k]))]),y=rs.map(r=>n(r.dInv)),p=X[0].length;let A=Array.from({length:p},()=>Array(p).fill(0)),B=Array(p).fill(0);for(let i=0;iMath.abs(A[m][i]))m=j;[A[i],A[m]]=[A[m],A[i]];[B[i],B[m]]=[B[m],B[i]];let z=A[i][i];if(Math.abs(z)<1e-9)continue;for(let k=i;kr.reduce((s,v,j)=>s+v*B[j],0)),ym=y.reduce((a,b)=>a+b,0)/y.length,sse=y.reduce((s,v,i)=>s+(v-pred[i])**2,0),sst=y.reduce((s,v)=>s+(v-ym)**2,0);return{keys:['intercept',...keys],n:y.length,beta:B,r2:sst?1-sse/sst:null}}\nfunction summarize(rs:any[]){const baseKeys=['ourSell','ourYieldDelta','yarnTick','townCenterTick'];const plus=[...baseKeys,'oppYieldDelta'];const base=ols(rs,baseKeys),withOpp=ols(rs,plus);const nzOpp=rs.filter(r=>r.oppYieldDelta!==0).length,nzMe=rs.filter(r=>r.ourYieldDelta!==0).length;const invPrice=rs.filter(r=>r.dInv!==0&&r.dPrice!==0);return{n:rs.length,base,withOpp,deltaR2:(withOpp.r2??0)-(base.r2??0),nonzeroYieldTransitions:{ours:nzMe,opp:nzOpp},demandExposure:{yarnTickRows:rs.filter(r=>r.yarnTick>0).length,townCenterTickRows:rs.filter(r=>r.townCenterTick>0).length},inverseInventoryPrice:invPrice.filter(r=>Math.sign(r.dInv)===-Math.sign(r.dPrice)).length,nonzeroInventoryPrice:invPrice.length,byWorld:Object.fromEntries([...new Set(rs.map(r=>`${r.seed}:${r.seat}`))].map(k=>{const z=rs.filter(r=>`${r.seed}:${r.seat}`===k),b=ols(z,baseKeys),q=ols(z,plus);return[k,{n:z.length,oppYieldNonzero:z.filter(r=>r.oppYieldDelta!==0).length,deltaR2:(q.r2??0)-(b.r2??0)}]}))}}\nconst out:any={schema:'KAG_WOOL_TEMPORAL_CONSERVATION_V3',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'TEACHER_OUTPUT_FLOW_PROXY_MEDIATION_NOT_CAUSAL',notes:['yieldSum delta is a public production-state proxy, not observed opponent private collection/sale','demand exposure encodes official periodic timing and visible YARN_STORE multiplicity; it is not yet an exact executed-demand ledger'],targets:{}};\nfor(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const rs=r.games.flatMap(rows);out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},...summarize(rs)}}\nconsole.log(JSON.stringify(out,null,2));",[],[337],"0560c0f5-9283-4a40-8236-4ae212b4eb97","wool_temporal_conservation_v2.ts","b344ee30-aba9-11f1-8180-1607ee4eb77e",152,["D",1788888077032],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[110601,110613,110627,110639];\nconst targets=['broker_bea.py','rancher_rita.py'];\nfunction sheep(l:any){return Number(l?.animals?.SHEEP?.count??0)}\nfunction flow(x:any){return Number(x?.ourRequestedAction?.sellByItem?.WOOL??0)}\nfunction townWoolUnits(x:any){const d=Number(x?.day??0),h=Number(x?.hour??0); if(h%4!==0)return 0; const shops=x?.shopMultiplicity??x?.town?.shops??{}; let n=0; for(const [k,v] of Object.entries(shops??{})){if(String(k).toUpperCase().includes('YARN'))n+=Number(v)||0;} return n;}\nfunction summarize(g:any){const tr=g.scenarioTrace??[];let rows:any[]=[];for(let i=1;i=27)continue;const inv0=Number(a?.market?.inventory?.WOOL??0),inv1=Number(b?.market?.inventory?.WOOL??0);const p0=Number(a?.market?.prices?.WOOL??0),p1=Number(b?.market?.prices?.WOOL??0);rows.push({day,hour:Number(b.hour),dInv:inv1-inv0,dPrice:p1-p0,ourSell:flow(a),ourSheep:sheep(a?.publicTileLifecycle?.me),oppSheep:sheep(a?.publicTileLifecycle?.opp),townWool:townWoolUnits(b)});}return rows;}\nfunction ols(rows:any[],keys:string[]){const X=rows.map(r=>[1,...keys.map(k=>Number(r[k]??0))]),y=rows.map(r=>Number(r.dInv));const p=X[0]?.length??0;let A=Array.from({length:p},()=>Array(p).fill(0)),B=Array(p).fill(0);for(let i=0;iMath.abs(A[m][i]))m=j;[A[i],A[m]]=[A[m],A[i]];[B[i],B[m]]=[B[m],B[i]];const z=A[i][i]||1e-9;for(let k=i;kr.reduce((s,v,j)=>s+v*B[j],0));const ym=y.reduce((a,b)=>a+b,0)/Math.max(1,y.length),sse=y.reduce((s,v,i)=>s+(v-pred[i])**2,0),sst=y.reduce((s,v)=>s+(v-ym)**2,0);return{keys:['intercept',...keys],beta:B,r2:sst?1-sse/sst:null,n:y.length};}\nconst out:any={schema:'KAG_WOOL_TEMPORAL_CONSERVATION_V2',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'TEACHER_TEMPORAL_MEDIATION_DIAGNOSTIC_NOT_CAUSAL',targets:{}};\nfor(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const rows=r.games.flatMap(summarize);const base=ols(rows,['ourSell','ourSheep','townWool']);const plusOpp=ols(rows,['ourSell','ourSheep','townWool','oppSheep']);out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},base,plusOpp,deltaR2:(plusOpp.r2??0)-(base.r2??0),corrInvPriceSignOpposite:rows.filter(x=>x.dInv&&x.dPrice&&Math.sign(x.dInv)===-Math.sign(x.dPrice)).length,nonzeroInvPrice:rows.filter(x=>x.dInv&&x.dPrice).length};}\nconsole.log(JSON.stringify(out,null,2));",[],[345],"61f203f8-e6c0-42df-af68-94235ae9009b","wool_snapshot_fixedprestate_v1.ts","7b53334c-ab86-11f1-a85b-1607ee4eb77e",148,["D",1788872950808],"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','rotation_rosa.py'];\nconst SEEDS=[110401,110413,110427], STEPS=new Set([432,504,576,648]), CASH=new Set([0,144]);\nconst E=await loadOfficialKaggricultureEngine(), rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_B0={}\\n_B1={}`);for(const n of REFS){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}py.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_base():\\n global _B0,_B1\\n _B0=_mk('broker_bea.py');_B1=_mk('broker_bea.py')\\ndef call_base(seat,p): return json.dumps((_B0 if seat==0 else _B1)['agent'](json.loads(p)))\\ndef call_fresh(n,p):\\n d=_mk(n)\\n return json.dumps(d['agent'](json.loads(p)))`);const reset=py.globals.get('reset_base'),base=py.globals.get('call_base'),fresh=py.globals.get('call_fresh');\nconst ps:any[]=[],cs:any[]=[];for(const seed of SEEDS){reset();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);if(STEPS.has(Number(s.step)))ps.push({seed,step:Number(s.step),day:Number(s.day),obs:o1});if(CASH.has(Number(s.step)))cs.push({seed,step:Number(s.step),obs:o1});const a0=JSON.parse(String(base(0,JSON.stringify(o0)))),a1=JSON.parse(String(base(1,JSON.stringify(o1))));s=E.interpreter.step(s,[a0,a1],cfg)}}\nfunction call(ref:string,o:any){return JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(o)))))}\nconst out:any={status:'PASS',schema:'KAG_WOOL_SNAPSHOT_FIXEDPRESTATE_V1',evidence_state:'OFFLINE_BLACKBOX_CURRENT_WOOL_SNAPSHOT_ACTION_LEVEL',seeds:SEEDS,prestates:ps.length,refs:{}};\nfor(const ref of REFS){let priceN=0,priceR=0,invN=0,invR=0,cashN=0,cashR=0;const byStep:any={};for(const p of ps){const actualP=Number(p.obs.market.prices.WOOL),actualI=Number(p.obs.market.inventory.WOOL);const p0=structuredClone(p.obs),p1=structuredClone(p.obs),p2=structuredClone(p.obs);p0.market.prices.WOOL=Math.max(1,Math.round(actualP*0.25));p1.market.prices.WOOL=actualP;p2.market.prices.WOOL=Math.max(1,Math.round(actualP*4));const pa=[call(ref,p0),call(ref,p1),call(ref,p2)], pr=new Set(pa).size>1;priceN++;priceR+=pr?1:0;const i0=structuredClone(p.obs),i1=structuredClone(p.obs),i2=structuredClone(p.obs);i0.market.inventory.WOOL=Math.max(0,actualI-2000);i1.market.inventory.WOOL=actualI;i2.market.inventory.WOOL=actualI+2000;const ia=[call(ref,i0),call(ref,i1),call(ref,i2)],ir=new Set(ia).size>1;invN++;invR+=ir?1:0;byStep[p.step]??={priceN:0,priceR:0,invN:0,invR:0};byStep[p.step].priceN++;byStep[p.step].priceR+=pr?1:0;byStep[p.step].invN++;byStep[p.step].invR+=ir?1:0;}for(const p of cs){const a=structuredClone(p.obs),b=structuredClone(p.obs);a.farms[0].money=199;b.farms[0].money=200;cashN++;cashR+=call(ref,a)!==call(ref,b)?1:0;}out.refs[ref]={priceN,priceResponsive:priceR,inventoryN:invN,inventoryResponsive:invR,cashPositiveN:cashN,cash199200:cashR,byStep};}\nconsole.log(JSON.stringify(out,null,2));",[],[353],"a9e44e63-c20c-41c2-ba7a-58bb53cb32d1","wool_sell_interpreter_parity_v8.ts","d5da8a5e-abdb-11f1-a634-1607ee4eb77e",174,["D",1788909672735],6,"import { loadOfficialKaggricultureEngine, observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst E=await loadOfficialKaggricultureEngine();\nfunction clone(x:any){return structuredClone(x)}\nfunction base(seed:number){const cfg=E.state.resolveConfig({seed});return{cfg,s:E.state.initGameState(2,cfg,seed)}}\nfunction wool(s:any,p=0){return Number(s.market.inventory.WOOL??0)}\nfunction runCase(name:string,mut:(s:any)=>void,market:any[]){const {cfg,s}=base(111601);const o=observationFor(s,0);mut(o);s.privates[0]=o.private;s.step=1;s.day=0;s.hour=1;const before=wool(s),acts=[{farmer:['PASS'],hands:[],market}, {farmer:['PASS'],hands:[],market:[]}];const ns=E.interpreter.step(s,acts,cfg);return{name,before,after:wool(ns),delta:wool(ns)-before,requested:market}}\nconst cases:any[]=[];\ncases.push(runCase('SELL_WOOL_7_SUFFICIENT',s=>{s.private.shed.WOOL=20},[['SELL','WOOL',7]]));\ncases.push(runCase('SELL_WOOL_7_INSUFFICIENT_3',s=>{s.private.shed.WOOL=3},[['SELL','WOOL',7]]));\ncases.push(runCase('SELL_WOOL_SLOT11_DROPPED',s=>{s.private.shed.WOOL=20},[...Array.from({length:10},()=>['BUY_PRODUCT','WHEAT',0]),['SELL','WOOL',7]]));\ncases.push(runCase('SELL_WOOL_SLOT10_EXECUTES',s=>{s.private.shed.WOOL=20},[...Array.from({length:9},()=>['BUY_PRODUCT','WHEAT',0]),['SELL','WOOL',7]]));\nconst expected:any={SELL_WOOL_7_SUFFICIENT:7,SELL_WOOL_7_INSUFFICIENT_3:3,SELL_WOOL_SLOT11_DROPPED:0,SELL_WOOL_SLOT10_EXECUTES:7};\nlet pass=0,mutCaught=0;for(const c of cases){c.observedSell=c.delta;c.expected=expected[c.name];c.pass=c.observedSell===c.expected;if(c.pass)pass++;c.mutationCaught=c.observedSell!==c.expected+1;if(c.mutationCaught)mutCaught++;}\nconsole.log(JSON.stringify({schema:'KAG_WOOL_SELL_INTERPRETER_PARITY_V8',cases,pass,total:cases.length,mutationCaught:mutCaught,mutationTotal:cases.length,status:pass===cases.length&&mutCaught===cases.length?'PASS':'FAIL'},null,2));",[],[361],"1fca6732-7870-4e14-bc28-52eb4d463f91","wool_residual_mediation_v6.ts","0a7c430e-abd4-11f1-924f-1607ee4eb77e",165,["D",1788906262240],"import { runAutolabJob,AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[111401,111413,111427],targets=['broker_bea.py','rancher_rita.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];const n=(x:any)=>Number(x??0)||0;\nconst sh=(s:any,side:'me'|'opp')=>s?.publicTileLifecycle?.[side]?.animals?.SHEEP??{};const sell=(s:any)=>n(s?.ourRequestedAction?.sellByItem?.WOOL);\nfunction demand(s:any){const step=n(s.step),ys=n(s?.townScenario?.shopCounts?.YARN_STORE);return(step%4===0?2*ys:0)+(step%24===0?1:0)}\nfunction rows(g:any){const t=g.scenarioTrace??[],o:any[]=[];for(let i=1;i=27)continue;const am=sh(a,'me'),bm=sh(b,'me'),ao=sh(a,'opp'),bo=sh(b,'opp'),dInv=n(b.market?.inventory?.WOOL)-n(a.market?.inventory?.WOOL),dem=demand(a),ourSell=sell(a);o.push({seed:g.seed,seat:g.ourSeat,dInv,demand:dem,ourSell,residual:dInv+dem-ourSell,ourYieldDelta:n(bm.yieldSum)-n(am.yieldSum),ourPendingDelta:n(bm.pendingCare)-n(am.pendingCare),oppYieldDelta:n(bo.yieldSum)-n(ao.yieldSum),oppPendingDelta:n(bo.pendingCare)-n(ao.pendingCare)})}return o}\nfunction ols(rs:any[],keys:string[]){const X=rs.map(r=>[1,...keys.map(k=>n(r[k]))]),y=rs.map(r=>n(r.residual)),p=keys.length+1,A=Array.from({length:p},()=>Array(p).fill(0)),B=Array(p).fill(0);for(let i=0;iMath.abs(A[m][i]))m=j;[A[i],A[m]]=[A[m],A[i]];[B[i],B[m]]=[B[m],B[i]];const z=A[i][i];if(Math.abs(z)<1e-9)continue;for(let k=i;ka+b,0)/y.length,pred=X.map(r=>r.reduce((s,v,j)=>s+v*B[j],0)),sse=y.reduce((s,v,i)=>s+(v-pred[i])**2,0),sst=y.reduce((s,v)=>s+(v-ym)**2,0);return{r2:sst?1-sse/sst:null,beta:B}}\nfunction sum(rs:any[]){const base=['ourYieldDelta','ourPendingDelta'],plus=[...base,'oppYieldDelta','oppPendingDelta'],a=ols(rs,base),b=ols(rs,plus);return{n:rs.length,meanResidual:rs.reduce((s,r)=>s+r.residual,0)/rs.length,baseR2:a.r2,withOppR2:b.r2,deltaR2:(b.r2??0)-(a.r2??0),oppNonzero:{yield:rs.filter(r=>r.oppYieldDelta).length,pending:rs.filter(r=>r.oppPendingDelta).length},byWorld:Object.fromEntries([...new Set(rs.map(r=>`${r.seed}:${r.seat}`))].map(k=>{const z=rs.filter(r=>`${r.seed}:${r.seat}`===k),x=ols(z,base),y=ols(z,plus);return[k,{deltaR2:(y.r2??0)-(x.r2??0),n:z.length}]}))}}\nconst out:any={schema:'KAG_WOOL_RESIDUAL_MEDIATION_V6',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'ENGINE_DEMAND_LEDGER_APPLIED_RESIDUAL_ASSOCIATION_NOT_CAUSAL',identity:'residual = deltaSharedInventory + exactTownDemand - ourRequestedWoolSell',limitations:['our requested SELL is not yet separately parity-validated as executed sell quantity','opponent lifecycle is not private executed collection/sale'],targets:{}};for(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},...sum(r.games.flatMap(rows))}}console.log(JSON.stringify(out,null,2));",[],[370],"6a4788e0-d2e6-4677-805e-20ec860cd1ae","wool_replication_v1.ts","d21c0e3a-ab84-11f1-baf4-1607ee4eb77e",140,["D",1788872237408],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[109901,109913,109927,109939], targets=['broker_bea.py','rancher_rita.py'];\nconst items=['WHEAT','MILK','WOOL'];\nfunction one(g:any){const rows=(g.scenarioTrace??[]).filter((x:any)=>Number(x.day)>=18&&Number(x.day)<27);const q:any={},val:any={},p:any={},pn:any={},shed:any={};let totalQ=0,totalV=0;for(const x of rows){const prices=x?.market?.prices??{}, sb=x?.ourRequestedAction?.sellByItem??{}, its=x?.ownPrivate?.items??{};for(const it of items){p[it]=(p[it]??0)+Number(prices[it]??0);pn[it]=(pn[it]??0)+1;shed[it]=(shed[it]??0)+Number(its[it]??0);}for(const [it,q0] of Object.entries(sb)){const z=Number(q0||0),pr=Number(prices[it]??0);q[it]=(q[it]??0)+z;val[it]=(val[it]??0)+z*pr;totalQ+=z;totalV+=z*pr;}}for(const it of items){p[it]/=Math.max(1,pn[it]);shed[it]/=Math.max(1,rows.length);}return{seed:g.seed,seat:g.ourSeat,totalQ,totalV,sellWeightedPrice:totalQ?totalV/totalQ:null,q,p,shed};}\nconst out:any={status:'PASS',schema:'KAG_WOOL_REPLICATION_V1',core:AUTOLAB_CORE_VERSION,seeds,targets:{}};\nfor(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const xs=r.games.map(one);const agg:any={totalQ:0,totalV:0,q:{},p:{},shed:{}};for(const x of xs){agg.totalQ+=x.totalQ;agg.totalV+=x.totalV;for(const it of items){agg.q[it]=(agg.q[it]??0)+Number(x.q[it]??0);agg.p[it]=(agg.p[it]??0)+x.p[it]/xs.length;agg.shed[it]=(agg.shed[it]??0)+x.shed[it]/xs.length;}}agg.sellWeightedPrice=agg.totalQ?agg.totalV/agg.totalQ:null;out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},agg,perGame:xs.map((x:any)=>({seed:x.seed,seat:x.seat,woolQty:x.q.WOOL??0,woolPrice:x.p.WOOL,woolShed:x.shed.WOOL,totalQ:x.totalQ,totalV:x.totalV}))};}\nconst b=out.targets['broker_bea.py'].agg,r=out.targets['rancher_rita.py'].agg;out.comparison={brokerMinusRita:{totalQ:b.totalQ-r.totalQ,totalV:b.totalV-r.totalV,sellWeightedPrice:b.sellWeightedPrice-r.sellWeightedPrice,woolQty:b.q.WOOL-r.q.WOOL,woolPrice:b.p.WOOL-r.p.WOOL,woolShed:b.shed.WOOL-r.shed.WOOL,milkQty:b.q.MILK-r.q.MILK,milkPrice:b.p.MILK-r.p.MILK,wheatQty:b.q.WHEAT-r.q.WHEAT,wheatPrice:b.p.WHEAT-r.p.WHEAT}};\nconsole.log(JSON.stringify(out,null,2));",[],[378],"472bbe86-3749-45d9-9cbd-6dacb91a7e46","wool_public_yield_variation_v4b.ts","ffb21084-abba-11f1-93e6-1607ee4eb77e",155,["D",1788895506721],"import { runAutolabJob,AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[110851,110863],targets=['broker_bea.py','rancher_rita.py'];const n=(x:any)=>Number(x??0)||0;\nfunction sh(x:any){return x?.publicTileLifecycle?.animals?.SHEEP??{}}\nfunction game(g:any){const tr=g.scenarioTrace??[];let rows=0,meY=0,opY=0,mePC=0,opPC=0;const examples:any[]=[];for(let i=1;i=27)continue;rows++;const am=sh(a?.publicTileLifecycle?.me),bm=sh(b?.publicTileLifecycle?.me),ao=sh(a?.publicTileLifecycle?.opp),bo=sh(b?.publicTileLifecycle?.opp);const dyM=n(bm.yieldSum)-n(am.yieldSum),dyO=n(bo.yieldSum)-n(ao.yieldSum),dpM=n(bm.pendingCare)-n(am.pendingCare),dpO=n(bo.pendingCare)-n(ao.pendingCare);if(dyM)meY++;if(dyO)opY++;if(dpM)mePC++;if(dpO)opPC++;if((dyM||dyO||dpM||dpO)&&examples.length<20)examples.push({day:b.day,hour:b.hour,dyM,dyO,dpM,dpO,am,bm,ao,bo});}return{seed:g.seed,seat:g.ourSeat,rows,meY,opY,mePC,opPC,examples}}\nconst out:any={schema:'KAG_WOOL_PUBLIC_YIELD_VARIATION_V4B',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'MEASUREMENT_REPAIR_PUBLIC_LIFECYCLE_VARIATION_ONLY',targets:{}};for(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const gs=r.games.map(game);out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},totals:gs.reduce((a:any,g:any)=>{for(const k of ['rows','meY','opY','mePC','opPC'])a[k]=(a[k]||0)+g[k];return a},{}),games:gs}}console.log(JSON.stringify(out,null,2));",[],[386],"bf96a075-32a4-4e6f-94fa-fd208493de50","wool_public_yield_variation_v4.ts","e9f3a6ae-abba-11f1-be8a-1607ee4eb77e",154,["D",1788895470224],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[110801,110813,110827,110839], targets=['broker_bea.py','rancher_rita.py'];\nconst n=(x:any)=>Number(x??0)||0;\nfunction sheepTiles(x:any){return x?.publicTileLifecycle?.animals?.SHEEP??{};}\nfunction summarizeGame(g:any){const tr=g.scenarioTrace??[];let meYieldChanges=0,oppYieldChanges=0,mePendingChanges=0,oppPendingChanges=0,rows=0;const samples:any[]=[];for(let i=1;i=27)continue;rows++;const am=sheepTiles(a?.publicTileLifecycle?.me),bm=sheepTiles(b?.publicTileLifecycle?.me),ao=sheepTiles(a?.publicTileLifecycle?.opp),bo=sheepTiles(b?.publicTileLifecycle?.opp);const dyM=n(bm.yieldSum)-n(am.yieldSum),dyO=n(bo.yieldSum)-n(ao.yieldSum),dpM=n(bm.pendingCareBonusSum)-n(am.pendingCareBonusSum),dpO=n(bo.pendingCareBonusSum)-n(ao.pendingCareBonusSum);if(dyM!==0)meYieldChanges++;if(dyO!==0)oppYieldChanges++;if(dpM!==0)mePendingChanges++;if(dpO!==0)oppPendingChanges++;if((dyM||dyO||dpM||dpO)&&samples.length<12)samples.push({day:b.day,hour:b.hour,dyM,dyO,dpM,dpO,am,bm,ao,bo});}return{seed:g.seed,seat:g.ourSeat,rows,meYieldChanges,oppYieldChanges,mePendingChanges,oppPendingChanges,samples};}\nconst out:any={schema:'KAG_WOOL_PUBLIC_YIELD_VARIATION_V4',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'MEASUREMENT_REPAIR_PUBLIC_LIFECYCLE_VARIATION_ONLY',targets:{}};\nfor(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const gs=r.games.map(summarizeGame);out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},totals:gs.reduce((a:any,g:any)=>{for(const k of ['rows','meYieldChanges','oppYieldChanges','mePendingChanges','oppPendingChanges'])a[k]=(a[k]||0)+g[k];return a;},{}),games:gs};}\nconsole.log(JSON.stringify(out,null,2));",[],[394],"7b70261f-0067-4ec1-a67b-6f889eb1d802","wool_public_tile_direct_v5.ts","108ed446-abbb-11f1-bbda-1607ee4eb77e",156,["D",1788895535010],"import { unzipSync,strFromU8 } from 'npm:fflate';import { loadPyodide } from 'npm:pyodide';import { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst seed=110901,refs=['broker_bea.py','rancher_rita.py'];const E=await loadOfficialKaggricultureEngine(),rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents'),z=unzipSync(new Uint8Array(await rr.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_R={}`);for(const ref of refs){py.globals.set('n',ref);py.globals.set('s',strFromU8(z[ref]));py.runPython(`_x={}\\nexec(s,_x)\\n_R[n]=_x['agent']`)}py.runPython(`def c(n,p): return json.dumps(_R[n](json.loads(p)))`);const c=py.globals.get('c');\nfunction sums(f:any){let sheep=0,y=0,p=0;for(const row of f.tiles??[])for(const t of row??[])if(t?.kind==='PASTURE'&&t?.animal==='SHEEP'){sheep++;y+=Number(t.yield_units??0)||0;p+=Number(t.pending_care_bonus??0)||0}return{sheep,y,p}}\nconst out:any={schema:'KAG_WOOL_PUBLIC_TILE_DIRECT_V5',seed,refs:{}};for(const ref of refs){const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed),prev:any=null,chg:any={meY:0,opY:0,meP:0,opP:0},examples:any[]=[];while(!s.done){const o0=observationFor(s,0),o1=observationFor(s,1),a=sums(o0.farms[0]),b=sums(o0.farms[1]);if(prev&&s.day>=3&&s.day<27){for(const [k,v] of [['meY',a.y-prev.a.y],['opY',b.y-prev.b.y],['meP',a.p-prev.a.p],['opP',b.p-prev.b.p]] as any)if(v!==0)chg[k]++;if((a.y!==prev.a.y||b.y!==prev.b.y||a.p!==prev.a.p||b.p!==prev.b.p)&&examples.length<20)examples.push({step:s.step,day:s.day,hour:s.hour,a0:prev.a,a1:a,b0:prev.b,b1:b})}prev={a,b};const act0=JSON.parse(String(c(ref,JSON.stringify(o0)))),act1=JSON.parse(String(c(ref,JSON.stringify(o1))));s=E.interpreter.step(s,[act0,act1],cfg)}out.refs[ref]={changes:chg,examples}}console.log(JSON.stringify(out,null,2));",[],[402],"51cc6599-209f-4231-8def-b35dafed75bd","wool_our_sell_execution_parity_v7.ts","c2016854-abdb-11f1-9ece-1607ee4eb77e",166,["D",1788909576604],"import { runAutolabJob,AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[111501,111513,111527],targets=['broker_bea.py','rancher_rita.py'];\nconst n=(x:any)=>Number(x??0)||0;\nconst req=(s:any)=>n(s?.ourRequestedAction?.sellByItem?.WOOL);\nconst avail=(s:any)=>n(s?.ownPrivate?.items?.WOOL);\nconst woolOps=(s:any)=>(s?.ourRequestedMarketOrder??[]).map((m:any,i:number)=>({...m,i})).filter((m:any)=>m.op==='SELL'&&m.item==='WOOL');\nfunction predictedExecuted(s:any){let q=avail(s),out=0;for(const m of (s?.ourRequestedMarketOrder??[]).slice(0,10)){if(m.op==='SELL'&&m.item==='WOOL'){const z=Math.min(q,Math.max(0,n(m.qty)));out+=z;q-=z}}return out}\nfunction rows(g:any){const t=g.scenarioTrace??[],o:any[]=[];for(let i=0;i=27)continue;const requested=req(a),pred=predictedExecuted(a),dInv=n(b.market?.inventory?.WOOL)-n(a.market?.inventory?.WOOL);o.push({seed:g.seed,seat:g.ourSeat,step:a.step,requested,predictedExecuted:pred,available:avail(a),ops:woolOps(a),marketOps:n(a?.marketOrderBudget?.requested),potentialDropped:n(a?.marketOrderBudget?.potentialDropped),deltaSharedInventory:dInv})}return o}\nconst out:any={schema:'KAG_WOOL_OUR_SELL_EXECUTION_PARITY_V7',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'REQUESTED_VS_PREDICTED_EXECUTED_SELL_INSTRUMENTATION_CENSUS',note:'predicted execution uses first-10 order budget and available own WOOL; deltaSharedInventory is not execution ground truth because opponent/town also move shared inventory',targets:{}};\nfor(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const rs=r.games.flatMap(rows);out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},rows:rs.length,requestedRows:rs.filter(x=>x.requested>0).length,truncatedByInventory:rs.filter(x=>x.predictedExecutedx.marketOps>=10).length,woolSellBeyondSlot10:rs.filter(x=>x.ops.some((z:any)=>z.i>=10)).length,requestedQty:rs.reduce((s,x)=>s+x.requested,0),predictedExecutedQty:rs.reduce((s,x)=>s+x.predictedExecuted,0),examples:rs.filter(x=>x.requested>0&&(x.predictedExecuted=10)).slice(0,20)};}\nconsole.log(JSON.stringify(out,null,2));",[],[410],"51737b76-ce5f-4a4c-a48b-e865307e519c","wool_opponent_oracle_supply_census_v11.ts","b51f0d36-abe4-11f1-bfb8-1607ee4eb77e",179,["D",1788913420467],"import {runAutolabJob} from './lib/kag_autolab_core.ts';const seeds=[111901,111913,111927],refs=['broker_bea.py','rancher_rita.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];const out:any={schema:'KAG_WOOL_OPPONENT_ORACLE_SUPPLY_CENSUS_V11',evidence_state:'OFFLINE_RAW_OPPONENT_ACTION_TEACHER_ONLY_NOT_DEPLOYABLE_NOT_CAUSAL',seeds,targets:{}};for(const ref of refs){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'FULL',legalTelemetry:'NONE'});let wool=0,rows=0,active=0;const byDay:any={};for(const g of r.games)for(const x of(g.actionTimeline??[])){const d=Number(x.day);if(d<18||d>27)continue;rows++;const q=Number(x?.ref?.sellByItem?.WOOL??0);wool+=q;if(q>0)active++;byDay[d]??={rows:0,qty:0,active:0};byDay[d].rows++;byDay[d].qty+=q;if(q>0)byDay[d].active++;}out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin},checkpointRows:rows,oracleWoolSellQty:wool,activeRows:active,meanPerRow:rows?wool/rows:0,byDay};}console.log(JSON.stringify(out,null,2));",[],[418],"b846b259-5f30-44ab-95bc-332aed2dff49","wool_mediation_world_v1.ts","4bd0606e-ab99-11f1-95d1-1607ee4eb77e",151,["D",1788881031534],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[110501,110513,110527,110539];\nconst targets=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rancher_rita.py'];\nfunction sheep(l:any){return Number(l?.animals?.SHEEP?.count??0)}\nfunction one(g:any){const rows=(g.scenarioTrace??[]).filter((x:any)=>Number(x.day)>=18&&Number(x.day)<27);let inv=0,p=0,os=0,ms=0,sell=0,value=0,priv=0;for(const x of rows){const pr=Number(x?.market?.prices?.WOOL??0), q=Number(x?.ourRequestedAction?.sellByItem?.WOOL??0);inv+=Number(x?.market?.inventory?.WOOL??0);p+=pr;os+=sheep(x?.publicTileLifecycle?.opp);ms+=sheep(x?.publicTileLifecycle?.me);sell+=q;value+=q*pr;priv+=Number(x?.ownPrivate?.items?.WOOL??0);}const n=Math.max(1,rows.length);return{seed:g.seed,seat:g.ourSeat,woolInv:inv/n,woolPrice:p/n,oppSheep:os/n,ourSheep:ms/n,ourWoolSellQty:sell,ourWoolRequestedValue:value,ourPrivateWool:priv/n};}\nfunction mean(xs:any[],k:string){return xs.reduce((s,x)=>s+Number(x[k]??0),0)/Math.max(1,xs.length)}\nconst out:any={status:'PASS',schema:'KAG_WOOL_WORLD_MEDIATION_V1',evidence_state:'WORLD_CONDITIONED_STRUCTURAL_MEDIATION_CENSUS_NOT_CAUSAL',core:AUTOLAB_CORE_VERSION,seeds,targets:{},pairedVsRita:{}};\nfor(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const xs=r.games.map(one);out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},mean:Object.fromEntries(['woolInv','woolPrice','oppSheep','ourSheep','ourWoolSellQty','ourWoolRequestedValue','ourPrivateWool'].map(k=>[k,mean(xs,k)])),rows:xs};}\nconst rr=out.targets['rancher_rita.py'].rows;\nfor(const ref of targets.slice(0,4)){const xx=out.targets[ref].rows;const pairs:any[]=[];for(const seed of seeds)for(const seat of [0,1]){const a=xx.find((x:any)=>x.seed===seed&&x.seat===seat),b=rr.find((x:any)=>x.seed===seed&&x.seat===seat);if(a&&b)pairs.push({seed,seat,dOppSheep:a.oppSheep-b.oppSheep,dOurSheep:a.ourSheep-b.ourSheep,dInv:a.woolInv-b.woolInv,dPrice:a.woolPrice-b.woolPrice,dSellQty:a.ourWoolSellQty-b.ourWoolSellQty,dReqValue:a.ourWoolRequestedValue-b.ourWoolRequestedValue,dPrivateWool:a.ourPrivateWool-b.ourPrivateWool});}out.pairedVsRita[ref]={pairs,signs:{oppSheepToInv:pairs.filter(x=>Math.sign(x.dOppSheep)===Math.sign(x.dInv)&&x.dOppSheep!==0).length,ourSheepToInv:pairs.filter(x=>Math.sign(x.dOurSheep)===Math.sign(x.dInv)&&x.dOurSheep!==0).length,invToPriceOpposite:pairs.filter(x=>Math.sign(x.dInv)===-Math.sign(x.dPrice)&&x.dInv!==0&&x.dPrice!==0).length,priceToSellSame:pairs.filter(x=>Math.sign(x.dPrice)===Math.sign(x.dSellQty)&&x.dPrice!==0&&x.dSellQty!==0).length},mean:Object.fromEntries(['dOppSheep','dOurSheep','dInv','dPrice','dSellQty','dReqValue','dPrivateWool'].map(k=>[k,mean(pairs,k)]))};}\nconsole.log(JSON.stringify(out,null,2));",[],[426],"c931aa3c-37b4-473b-98b3-3aae632287f9","wool_market_attribution_v1.ts","2ef8ef2e-ab85-11f1-bc7e-1607ee4eb77e",144,["D",1788872393211],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[109901,109913,109927,109939], targets=['broker_bea.py','rancher_rita.py'];\nfunction animalCount(l:any,k:string){return Number(l?.animals?.[k]?.count??0)}\nfunction one(g:any){const rows=(g.scenarioTrace??[]).filter((x:any)=>Number(x.day)>=18&&Number(x.day)<27);let p=0,inv=0,ourSheep=0,oppSheep=0,ourCow=0,oppCow=0,yarn=0;const start=rows[0],end=rows[rows.length-1];for(const x of rows){p+=Number(x?.market?.prices?.WOOL??0);inv+=Number(x?.market?.inventory?.WOOL??0);ourSheep+=animalCount(x?.publicTileLifecycle?.me,'SHEEP');oppSheep+=animalCount(x?.publicTileLifecycle?.opp,'SHEEP');ourCow+=animalCount(x?.publicTileLifecycle?.me,'COW');oppCow+=animalCount(x?.publicTileLifecycle?.opp,'COW');yarn+=(x?.shops??[]).filter((s:any)=>String(s)==='YARN_STORE').length;}const n=Math.max(1,rows.length);return{seed:g.seed,seat:g.ourSeat,woolPriceMean:p/n,woolInvMean:inv/n,woolInvStart:Number(start?.market?.inventory?.WOOL??0),woolInvEnd:Number(end?.market?.inventory?.WOOL??0),ourSheep:ourSheep/n,oppSheep:oppSheep/n,ourCow:ourCow/n,oppCow:oppCow/n,yarnMean:yarn/n};}\nconst out:any={status:'PASS',schema:'KAG_WOOL_MARKET_ATTRIBUTION_V1',evidence_state:'OBSERVATIONAL_MECHANISM_DECOMPOSITION_NOT_DIRECT_CAUSAL',core:AUTOLAB_CORE_VERSION,seeds,targets:{}};\nfor(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const xs=r.games.map(one),keys=['woolPriceMean','woolInvMean','woolInvStart','woolInvEnd','ourSheep','oppSheep','ourCow','oppCow','yarnMean'];const mean:any={};for(const k of keys)mean[k]=xs.reduce((s:any,x:any)=>s+Number(x[k]),0)/xs.length;out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin},mean,perGame:xs};}\nconst b=out.targets['broker_bea.py'].mean,r=out.targets['rancher_rita.py'].mean;out.comparison={};for(const k of Object.keys(b))out.comparison[k]=b[k]-r[k];console.log(JSON.stringify(out,null,2));",[],[434],"a804898d-3441-45a4-9a07-0d080931a0b8","wool_full_residual_mediation_v9.ts","048abf5e-abdc-11f1-a610-1607ee4eb77e",175,["D",1788909688243],"import {runAutolabJob,AUTOLAB_CORE_VERSION} from './lib/kag_autolab_core.ts';const seeds=[111701,111713,111727],targets=['broker_bea.py','rancher_rita.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'],n=(x:any)=>Number(x??0)||0;const sh=(s:any,k:string)=>s?.publicTileLifecycle?.[k]?.animals?.SHEEP??{};function dem(s:any){const st=n(s.step),ys=n(s?.townScenario?.shopCounts?.YARN_STORE);return(st%4===0?2*ys:0)+(st%24===0?1:0)}function execSell(s:any){let q=n(s?.ownPrivate?.items?.WOOL),z=0;for(const m of(s?.ourRequestedMarketOrder??[]).slice(0,10))if(m.op==='SELL'&&m.item==='WOOL'){const a=Math.min(q,Math.max(0,n(m.qty)));z+=a;q-=a}return z}function rows(g:any){const t=g.scenarioTrace??[],o:any[]=[];for(let i=1;i=27)continue;const am=sh(a,'me'),bm=sh(b,'me'),ao=sh(a,'opp'),bo=sh(b,'opp'),d=n(b.market?.inventory?.WOOL)-n(a.market?.inventory?.WOOL),demand=dem(a),ourSell=execSell(a);o.push({seed:g.seed,seat:g.ourSeat,residual:d+demand-ourSell,ourYield:n(bm.yieldSum)-n(am.yieldSum),ourPending:n(bm.pendingCare)-n(am.pendingCare),oppYield:n(bo.yieldSum)-n(ao.yieldSum),oppPending:n(bo.pendingCare)-n(ao.pendingCare),dInv:d,demand,ourSell})}return o}function ols(r:any[],ks:string[]){const X=r.map(x=>[1,...ks.map(k=>n(x[k]))]),y=r.map(x=>n(x.residual)),p=ks.length+1,A=Array.from({length:p},()=>Array(p).fill(0)),B=Array(p).fill(0);for(let i=0;iMath.abs(A[m][i]))m=j;[A[i],A[m]]=[A[m],A[i]];[B[i],B[m]]=[B[m],B[i]];const z=A[i][i];if(Math.abs(z)<1e-9)continue;for(let k=i;ka+b,0)/y.length,pred=X.map(x=>x.reduce((s,v,j)=>s+v*B[j],0)),sse=y.reduce((s,v,i)=>s+(v-pred[i])**2,0),sst=y.reduce((s,v)=>s+(v-ym)**2,0);return{r2:sst?1-sse/sst:null}}function sum(r:any[]){const a=ols(r,['ourYield','ourPending']),b=ols(r,['ourYield','ourPending','oppYield','oppPending']);return{n:r.length,deltaR2:(b.r2??0)-(a.r2??0),baseR2:a.r2,withOppR2:b.r2,requestedVsExecutedMismatch:r.filter(x=>x.ourSell<0).length,byWorld:Object.fromEntries([...new Set(r.map(x=>`${x.seed}:${x.seat}`))].map(k=>{const z=r.filter(x=>`${x.seed}:${x.seat}`===k),aa=ols(z,['ourYield','ourPending']),bb=ols(z,['ourYield','ourPending','oppYield','oppPending']);return[k,(bb.r2??0)-(aa.r2??0)]}))}}const out:any={schema:'KAG_WOOL_FULL_RESIDUAL_MEDIATION_V9',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'EXECUTED_SELF_SELL_MODEL_ENGINE_SEMANTICS_VALIDATED_ASSOCIATION_NOT_CAUSAL',targets:{}};for(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},...sum(r.games.flatMap(rows))}}console.log(JSON.stringify(out,null,2));",[],[442],"da0859f9-0b3b-4925-a7e2-4686e54d27a4","wool_fixedprestate_conservation_fork_v10.ts","9c5b6f88-abe4-11f1-8356-1607ee4eb77e",176,["D",1788913378870],"import { loadOfficialKaggricultureEngine, observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst E=await loadOfficialKaggricultureEngine();\nconst SEEDS=[111801,111813,111827];\nconst Q=[0,1,3,7,10,20];\nfunction clone(x:T):T{return structuredClone(x)}\nfunction n(x:any){return Number(x??0)||0}\nfunction one(seed:number,seat:number,qty:number){\n const cfg=E.state.resolveConfig({seed});\n let s=E.state.initGameState(2,cfg,seed);\n // Synthetic fixed-prestate conservation fork: choose a non-town-demand step.\n s.step=433;s.day=18;s.hour=1;\n const opp=1-seat;\n const oo=observationFor(s,opp);\n oo.private.shed.WOOL=Math.max(50,qty);\n s.privates[opp]=oo.private;\n const beforeInv=n(s.market.inventory.WOOL),beforePrice=n(s.market.prices.WOOL);\n const acts:any[]=[{farmer:['PASS'],hands:[],market:[]},{farmer:['PASS'],hands:[],market:[]}];\n acts[opp]={farmer:['PASS'],hands:[],market:qty?[['SELL','WOOL',qty]]:[]};\n const ns=E.interpreter.step(clone(s),acts,cfg);\n const afterInv=n(ns.market.inventory.WOOL),afterPrice=n(ns.market.prices.WOOL);\n return {seed,ourSeat:seat,oppSeat:opp,qty,beforeInv,afterInv,dInv:afterInv-beforeInv,beforePrice,afterPrice,dPrice:afterPrice-beforePrice,step:433,townDemandExpected:0};\n}\nconst rows:any[]=[];for(const seed of SEEDS)for(const seat of [0,1])for(const q of Q)rows.push(one(seed,seat,q));\nlet parity=0,mut=0;for(const r of rows){r.expectedDelta=r.qty;r.parity=r.dInv===r.expectedDelta;if(r.parity)parity++;r.mutationCaught=r.dInv!==r.expectedDelta+1;if(r.mutationCaught)mut++;}\nconst effects=Q.map(q=>{const z=rows.filter(r=>r.qty===q);return{qty:q,n:z.length,meanDInv:z.reduce((a,b)=>a+b.dInv,0)/z.length,meanDPrice:z.reduce((a,b)=>a+b.dPrice,0)/z.length,minDPrice:Math.min(...z.map(x=>x.dPrice)),maxDPrice:Math.max(...z.map(x=>x.dPrice))}});\nconsole.log(JSON.stringify({schema:'KAG_WOOL_FIXEDPRESTATE_CONSERVATION_FORK_V10',evidence_state:'OFFLINE_TEACHER_FORCED_OPPONENT_EXECUTED_SUPPLY_CONSERVATION_NOT_BEHAVIOR',seeds:SEEDS,step:433,noTownDemand:true,rows:rows.length,parity,total:rows.length,mutationCaught:mut,mutationTotal:rows.length,status:parity===rows.length&&mut===rows.length?'PASS':'FAIL',effects},null,2));",[],[450],"476277e5-61c7-4555-a356-883561b2181f","wool_family_v1.ts","5ded4d16-ab85-11f1-ba8f-1607ee4eb77e",145,["D",1788872471954],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[110101,110113,110127,110139], targets=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rancher_rita.py'];\nfunction ac(l:any,k:string){return Number(l?.animals?.[k]?.count??0)}\nfunction one(g:any){const rows=(g.scenarioTrace??[]).filter((x:any)=>Number(x.day)>=18&&Number(x.day)<27);let p=0,inv=0,os=0,ms=0,y=0;for(const x of rows){p+=Number(x?.market?.prices?.WOOL??0);inv+=Number(x?.market?.inventory?.WOOL??0);os+=ac(x?.publicTileLifecycle?.opp,'SHEEP');ms+=ac(x?.publicTileLifecycle?.me,'SHEEP');y+=(x?.shops??[]).filter((s:any)=>String(s)==='YARN_STORE').length;}const n=Math.max(1,rows.length);return{seed:g.seed,seat:g.ourSeat,woolPrice:p/n,woolInv:inv/n,oppSheep:os/n,ourSheep:ms/n,yarn:y/n};}\nconst out:any={status:'PASS',schema:'KAG_WOOL_FAMILY_V1',evidence_state:'FRESH_FAMILY_CONTEXT_CENSUS_NOT_DIRECT_CAUSAL',core:AUTOLAB_CORE_VERSION,seeds,targets:{}};for(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const xs=r.games.map(one);const mean:any={};for(const k of ['woolPrice','woolInv','oppSheep','ourSheep','yarn'])mean[k]=xs.reduce((s:any,x:any)=>s+Number(x[k]),0)/xs.length;out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},mean,bySeed:Object.fromEntries(seeds.map(seed=>{const z=xs.filter((x:any)=>x.seed===seed);return [String(seed),{woolPrice:z.reduce((s:any,x:any)=>s+x.woolPrice,0)/z.length,woolInv:z.reduce((s:any,x:any)=>s+x.woolInv,0)/z.length,oppSheep:z.reduce((s:any,x:any)=>s+x.oppSheep,0)/z.length}]}))};}\nconst rr=out.targets['rancher_rita.py'].mean;out.vsRita={};for(const ref of targets.slice(0,4)){const m=out.targets[ref].mean;out.vsRita[ref]={woolPrice:m.woolPrice-rr.woolPrice,woolInv:m.woolInv-rr.woolInv,oppSheep:m.oppSheep-rr.oppSheep,ourSheep:m.ourSheep-rr.ourSheep,yarn:m.yarn-rr.yarn};}console.log(JSON.stringify(out,null,2));",[],[458],"b719a3da-2160-46f3-9ad5-442b6a398d8b","wool_executed_demand_ledger_v5.ts","ecf6ee24-abd3-11f1-8eef-1607ee4eb77e",164,["D",1788906248712],"import { loadOfficialKaggricultureEngine, observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst E=await loadOfficialKaggricultureEngine();\nconst seeds=[111301,111313,111327];\nconst n=(x:any)=>Number(x??0)||0;\nconst shopWool=(town:any)=>[...(town?.unlocked_shops??[])].filter((x:any)=>String(x)==='YARN_STORE').length;\nfunction inv(s:any){return n(s?.market?.inventory?.WOOL)}\nfunction expectedDemand(s:any){const step=n(s.step),shopInterval=4,centerInterval=24;return (step%shopInterval===0?2*shopWool(s.town):0)+(step%centerInterval===0?1:0)}\nconst rows:any[]=[];let errors=0;\nfor(const seed of seeds)for(const seat of [0,1] as const){const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const acts=[{farmer:['PASS'],hands:[],market:[]},{farmer:['PASS'],hands:[],market:[]}];const before=inv(s),day=n(s.day),hour=n(s.hour),shops=shopWool(s.town),exp=expectedDemand(s);let nx:any;try{nx=E.interpreter.step(s,acts,cfg)}catch(e){errors++;break}const after=inv(nx),actual=before-after;if(day>=3){rows.push({seed,seat,step:n(s.step),day,hour,shops,expected:exp,actual,match:actual===exp})}s=nx}}\nconst mismatch=rows.filter(r=>!r.match);const mutatedCaught=rows.filter(r=>r.actual!==r.expected+1).length;\nconst byKind={yarnTicks:rows.filter(r=>r.hour%4===0&&r.shops>0).length,townTicks:rows.filter(r=>r.hour===0).length,combinedTicks:rows.filter(r=>r.hour===0&&r.shops>0).length};\nconsole.log(JSON.stringify({schema:'KAG_WOOL_EXECUTED_DEMAND_LEDGER_V5',seeds,rows:rows.length,errors,matches:rows.length-mismatch.length,mismatches:mismatch.length,examples:mismatch.slice(0,12),mutationControl:{corruptExpectedPlus1Caught:mutatedCaught,total:rows.length},byKind,evidence_state:mismatch.length===0&&mutatedCaught===rows.length?'ENGINE_EXECUTED_WOOL_DEMAND_LEDGER_PARITY_PASS':'LEDGER_PARITY_FAIL'},null,2));",[],[466],"b6cbbdda-4583-4cd5-85e6-36773a528aa2","weak_price_context_positive_v1.ts","ebb3f1a8-ab36-11f1-925b-1607ee4eb77e",17,["D",1788838862565],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst E=await loadOfficialKaggricultureEngine();const rr=await fetch(DATASET);if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}`);\nconst other='rancher_rita.py';const probes=[{target:'homestead_hana.py',item:'CARROT',lo:14,hi:15},{target:'homestead_hana.py',item:'TOMATO',lo:24,hi:25},{target:'melon_mateo.py',item:'MELON',lo:119,hi:120}];\nfor(const n of [...new Set([...probes.map(x=>x.target),other])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`def 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)),sort_keys=True)\\ndef call_fresh(n,p):\\n _n={}\\n exec(_SRC[n],_n)\\n return json.dumps(_n['agent'](json.loads(p)),sort_keys=True)`);\nconst resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callFresh=py.globals.get('call_fresh');const call=(fn:any,n:string,o:any)=>String(fn(n,JSON.stringify(o)));const parse=(s:string)=>JSON.parse(s);const seeds=[100577,100609];const phase=(d:number)=>d<6?'EARLY':d<18?'MID':d<27?'LATE':'CLOSING';\nfunction sellQty(a:any,item:string){let q=0;for(const m of a?.market??[])if(Array.isArray(m)&&m[0]==='SELL'&&m[1]===item)q+=Number(m[2]??0)||0;return q}\nconst results:any=[];\nfor(const p of probes){const st:any={target:p.target,item:p.item,lo:p.lo,hi:p.hi,tested:0,actionDiff:0,sellQtyDiff:0,freshStateMismatch:0,byPhase:{},examples:[]};for(const seed of seeds){for(const targetSeat of [0,1] as const){resetRef(p.target);resetRef(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const to=observationFor(s,targetSeat),oo=observationFor(s,1-targetSeat);const stateful=call(callRef,p.target,to);if(Number(s.hour)%6===0){const baseFresh=call(callFresh,p.target,to),lo=structuredClone(to),hi=structuredClone(to);lo.market.prices[p.item]=p.lo;hi.market.prices[p.item]=p.hi;const aLo=call(callFresh,p.target,lo),aHi=call(callFresh,p.target,hi),ph=phase(Number(s.day)),qLo=sellQty(parse(aLo),p.item),qHi=sellQty(parse(aHi),p.item);st.tested++;st.byPhase[ph]=st.byPhase[ph]??{tested:0,actionDiff:0,sellQtyDiff:0};st.byPhase[ph].tested++;if(stateful!==baseFresh)st.freshStateMismatch++;if(aLo!==aHi){st.actionDiff++;st.byPhase[ph].actionDiff++;if(st.examples.length<12)st.examples.push({seed,targetSeat,step:s.step,day:s.day,hour:s.hour,phase:ph,naturalPrice:to.market?.prices?.[p.item],qLo,qHi,loMarket:parse(aLo).market??[],hiMarket:parse(aHi).market??[]})}if(qLo!==qHi){st.sellQtyDiff++;st.byPhase[ph].sellQtyDiff++;}}const otherAct=parse(call(callRef,other,oo));const acts:any[]=[];acts[targetSeat]=parse(stateful);acts[1-targetSeat]=otherAct;s=E.interpreter.step(s,acts,cfg)}}}st.actionDiffRate=st.actionDiff/st.tested;st.sellQtyDiffRate=st.sellQtyDiff/st.tested;results.push(st)}\nconst pass=results.every(x=>x.actionDiff>0&&x.freshStateMismatch===0);\nconsole.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'WEAK_MARKET_THRESHOLD_STRATIFIED_POSITIVE_CONTROL',sampleCadence:'hour%6==0',seeds,targetOpponent:other,results:results.map(({examples,...x}:any)=>x)},null,2));\nif(!pass)throw new Error('weak market threshold positive control failed');",[],[474],"72954ba5-3bd2-41ab-9b40-aa81e4596788","weak_cash_negative_context_v1.ts","b5ee9db6-ab36-11f1-953e-1607ee4eb77e",15,["D",1788838689395],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst E=await loadOfficialKaggricultureEngine();const rr=await fetch(DATASET);if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}`);\nconst targets=['rotation_rosa.py','homestead_hana.py','melon_mateo.py'],other='rancher_rita.py';\nfor(const n of [...targets,other]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`def 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)),sort_keys=True)\\ndef call_fresh(n,p):\\n _n={}\\n exec(_SRC[n],_n)\\n return json.dumps(_n['agent'](json.loads(p)),sort_keys=True)`);\nconst resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callFresh=py.globals.get('call_fresh');\nconst call=(fn:any,n:string,o:any)=>String(fn(n,JSON.stringify(o)));const parse=(s:string)=>JSON.parse(s);const seeds=[100577,100609];\nconst phase=(d:number)=>d<6?'EARLY':d<18?'MID':d<27?'LATE':'CLOSING';\nconst out:any={tested:0,cashDiff:0,freshStateMismatch:0,byTarget:{},byPhase:{}};const examples:any[]=[];\nfor(const target of targets){out.byTarget[target]={tested:0,cashDiff:0,freshStateMismatch:0};for(const seed of seeds){for(const targetSeat of [0,1] as const){resetRef(target);resetRef(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const to=observationFor(s,targetSeat),oo=observationFor(s,1-targetSeat);const stateful=call(callRef,target,to);if(Number(s.hour)%6===0){const oi=1-Number(to.player),baseFresh=call(callFresh,target,to),lo=structuredClone(to),hi=structuredClone(to);lo.farms[oi].money=199;hi.farms[oi].money=200;const a199=call(callFresh,target,lo),a200=call(callFresh,target,hi),ph=phase(Number(s.day));out.tested++;out.byTarget[target].tested++;out.byPhase[ph]=out.byPhase[ph]??{tested:0,cashDiff:0};out.byPhase[ph].tested++;if(stateful!==baseFresh){out.freshStateMismatch++;out.byTarget[target].freshStateMismatch++;if(examples.length<10)examples.push({kind:'FRESH_STATE_MISMATCH',target,seed,targetSeat,step:s.step,day:s.day,hour:s.hour})}if(a199!==a200){out.cashDiff++;out.byTarget[target].cashDiff++;out.byPhase[ph].cashDiff++;if(examples.length<10)examples.push({kind:'CASH_DIFF',target,seed,targetSeat,step:s.step,day:s.day,hour:s.hour,a199:parse(a199),a200:parse(a200)})}}const otherAct=parse(call(callRef,other,oo));const acts:any[]=[];acts[targetSeat]=parse(stateful);acts[1-targetSeat]=otherAct;s=E.interpreter.step(s,acts,cfg)}}}}\nconst pass=out.cashDiff===0&&out.freshStateMismatch===0;\nconsole.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'WEAK_TRIO_STRATIFIED_DIRECT_CASH_NEGATIVE_CONTROL',sampleCadence:'hour%6==0',seeds,targetOpponent:other,stats:out,examples},null,2));\nif(!pass)throw new Error('weak cash negative control failed');",[],[482],"c0515076-7e5d-4d0a-ae02-2a050a99aba2","top_supply_driver_constants_v1.ts","4cfd3aa6-ab77-11f1-96c4-1607ee4eb77e",121,["D",1788866430612],"import { unzipSync,strFromU8 } from 'npm:fflate';import { loadPyodide } from 'npm:pyodide';const refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];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())),py=await loadPyodide();py.runPython(`import ast,json\\ndef grab(src):\\n t=ast.parse(src);want={'_SUPPLY_DRIVER','_RESERVE','_SUPPLY','_SHOP_DEMAND','_RAMP_START','_RAMP_END','_SHED_PRESSURE'};o={}\\n for n in t.body:\\n if isinstance(n,ast.Assign):\\n for x in n.targets:\\n if isinstance(x,ast.Name) and x.id in want:\\n try:o[x.id]=ast.literal_eval(n.value)\\n except:o[x.id]=ast.unparse(n.value)\\n return o`);const out:any={status:'PASS',evidenceState:'OFFLINE_SOURCE_CONSTANTS_NOT_DEPLOYABLE',refs:{}};for(const ref of refs){py.globals.set('s',strFromU8(z[ref]));py.runPython(`res=json.dumps(grab(s))`);out.refs[ref]=JSON.parse(String(py.globals.get('res')))}console.log(JSON.stringify(out,null,2));",[],[490],"733f0008-667c-4eca-af08-7428a4aa7aa6","top_stateful_logic_slice_v1.ts","ffc85f30-ab72-11f1-9b36-1607ee4eb77e",120,["D",1788866417091],"import { unzipSync,strFromU8 } from 'npm:fflate';import { loadPyodide } from 'npm:pyodide';const refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];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())),py=await loadPyodide();py.runPython(`import ast,json\\ndef grab(src):\\n t=ast.parse(src);want={'_public_signature','_signature_distance','_update_clone_profile','_front_run','_base_agent','_opponent_scale','_reserve_price','_plan_sells','agent'};o={}\\n for n in t.body:\\n if isinstance(n,(ast.FunctionDef,ast.AsyncFunctionDef)) and n.name in want:o[n.name]=ast.unparse(n)\\n return o\\n`);const out:any={status:'PASS',evidenceState:'OFFLINE_SOURCE_STATEFUL_LOGIC_SLICE_NOT_DEPLOYABLE',refs:{}};for(const ref of refs){py.globals.set('s',strFromU8(z[ref]));py.runPython(`res=json.dumps(grab(s))`);out.refs[ref]=JSON.parse(String(py.globals.get('res')))}console.log(JSON.stringify(out,null,2));",[],[498],"5c50b5e9-9317-4895-9338-7d8f78b34241","top_source_state_audit_v1.ts","f28f92b6-ab72-11f1-b686-1607ee4eb77e",110,["D",1788864560914],"import { unzipSync,strFromU8 } from 'npm:fflate';import { loadPyodide } from 'npm:pyodide';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rotation_rosa.py'];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())),py=await loadPyodide();py.runPython(`import ast,json\\ndef audit(src):\\n t=ast.parse(src);mods=[];funcs=[]\\n for n in t.body:\\n if isinstance(n,(ast.Assign,ast.AnnAssign,ast.AugAssign)):\\n names=[]\\n xs=n.targets if isinstance(n,ast.Assign) else [n.target]\\n for x in xs:\\n if isinstance(x,ast.Name):names.append(x.id)\\n if names:mods+=names\\n for n in ast.walk(t):\\n if isinstance(n,(ast.FunctionDef,ast.AsyncFunctionDef)):\\n reads=set();writes=set();globs=set();attrs=[]\\n for x in ast.walk(n):\\n if isinstance(x,ast.Global):globs.update(x.names)\\n elif isinstance(x,ast.Name):\\n (writes if isinstance(x.ctx,(ast.Store,ast.Del)) else reads).add(x.id)\\n elif isinstance(x,ast.Call) and isinstance(x.func,ast.Attribute) and x.func.attr in ('append','extend','update','clear','add'):\\n try:attrs.append(ast.unparse(x.func.value)+'.'+x.func.attr)\\n except:pass\\n funcs.append({'name':n.name,'globals':sorted(globs),'moduleReads':sorted(reads & set(mods)),'moduleWrites':sorted(writes & set(mods)),'mutators':sorted(set(attrs))})\\n return {'moduleAssignments':sorted(set(mods)),'functions':funcs}\\n`);const audit=py.globals.get('audit');const out:any={status:'PASS',evidenceState:'OFFLINE_REFERENCE_SOURCE_STATEFULNESS_AUDIT_NOT_DEPLOYABLE',refs:{}};for(const ref of refs){const src=strFromU8(z[ref]);py.globals.set('s',src);py.runPython(`res=json.dumps(audit(s))`);out.refs[ref]=JSON.parse(String(py.globals.get('res')))}console.log(JSON.stringify(out,null,2));",[],[506],"8e1df816-48d7-4084-a358-dacc27a0f895","top_runtime_market_constants_v1.ts","59eda76e-ab77-11f1-8b22-1607ee4eb77e",122,["D",1788866452323],"import { unzipSync,strFromU8 } from 'npm:fflate';import { loadPyodide } from 'npm:pyodide';const refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];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())),py=await loadPyodide();py.runPython(`import json`);const out:any={status:'PASS',evidenceState:'OFFLINE_SOURCE_RUNTIME_CONSTANTS_NOT_DEPLOYABLE',refs:{}};for(const ref of refs){py.globals.set('src',strFromU8(z[ref]));py.runPython(`d={};exec(src,d);res=json.dumps({k:d.get(k) for k in ['_RESERVE','_SUPPLY_DRIVER','_RAMP_START','_RAMP_END','_SHED_PRESSURE','_PROMOTE_IF_OPP_MONEY','_PROMOTE_AFTER','_SELLS_FIRST','_SORT_SELLS']},default=str)`);out.refs[ref]=JSON.parse(String(py.globals.get('res')))}console.log(JSON.stringify(out,null,2));",[],[514],"d427c1d8-9fc7-47da-80be-aeb90788d0d7","top_clone_constants_v1.ts","24a72552-ab73-11f1-96e5-1607ee4eb77e",112,["D",1788864644958],"import { unzipSync,strFromU8 } from 'npm:fflate';import { loadPyodide } from 'npm:pyodide';const refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];const r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');const z=unzipSync(new Uint8Array(await r.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\ndef vals(src):\\n d={};exec(src,d);o={}\\n for k in ['_FRONT_RUN_HORIZON','_FRONT_RUN_ITEMS','_GLUT_WEIGHT','_CLONE_CONFIDENCE','_LAST_STEP','_SELLS_FIRST','_SORT_SELLS','_PROMOTE_IF_OPP_MONEY']:\\n v=d.get(k)\\n try: json.dumps(v);o[k]=v\\n except: o[k]=str(v)\\n o['_TRACE_LEN']=len(d.get('_TRACE',[]));return o\\n`);const out:any={status:'PASS',evidenceState:'OFFLINE_SOURCE_CLONE_CONSTANTS_NOT_DEPLOYABLE',refs:{}};for(const ref of refs){py.globals.set('s',strFromU8(z[ref]));py.runPython(`res=json.dumps(vals(s))`);out.refs[ref]=JSON.parse(String(py.globals.get('res')))}console.log(JSON.stringify(out,null,2));",[],[522],"a0c40ae9-b948-4e57-8416-041b7a76a69c","top_capacity_composition_v17.ts","cd81641a-ab4d-11f1-8b59-1607ee4eb77e",97,["D",1788848607369],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\n\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rancher_rita.py'];\nconst seeds=[108501,108513,108527];\nconst days=[3,6,9,12];\nconst avg=(xs:number[])=>xs.length?xs.reduce((a,b)=>a+b,0)/xs.length:0;\nfunction mixMean(rows:any[], side:'ours'|'ref', fld:'cropMix'|'animalMix'){\n const keys=new Set();\n for(const x of rows)for(const k of Object.keys(x?.[side]?.[fld]??{}))keys.add(k);\n const out:any={};\n for(const k of keys)out[k]=avg(rows.map(x=>Number(x?.[side]?.[fld]?.[k]??0)));\n return out;\n}\nconst out:any={status:'PASS',evidenceState:'LEGAL_PUBLIC_TOP_CAPACITY_COMPOSITION_V17',seeds,guardrails:['legal public state only','no opponent raw actions','descriptive composition != causal mechanism','Rita intermediate control included'],refs:{}};\nfor(const ref of refs){\n const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds});\n const z:any={wlt:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,days:{}};\n for(const d of days){\n const rows=r.games.map((g:any)=>(g.timeline??[]).find((x:any)=>x.day===d)).filter(Boolean);\n z.days[d]={\n ours:{cash:avg(rows.map((x:any)=>x.ours.cash)),land:avg(rows.map((x:any)=>x.ours.land)),crops:avg(rows.map((x:any)=>x.ours.crops)),pastures:avg(rows.map((x:any)=>x.ours.pastures)),animals:avg(rows.map((x:any)=>x.ours.animals)),cropMix:mixMean(rows,'ours','cropMix'),animalMix:mixMean(rows,'ours','animalMix')},\n ref:{cash:avg(rows.map((x:any)=>x.ref.cash)),land:avg(rows.map((x:any)=>x.ref.land)),crops:avg(rows.map((x:any)=>x.ref.crops)),pastures:avg(rows.map((x:any)=>x.ref.pastures)),animals:avg(rows.map((x:any)=>x.ref.animals)),cropMix:mixMean(rows,'ref','cropMix'),animalMix:mixMean(rows,'ref','animalMix')}\n };\n }\n out.refs[ref]=z;\n}\nconsole.log(JSON.stringify(out,null,2));\n",[],[530],"5000df85-0c2c-48c7-a863-614708f61730","top_capacity_composition_digest_v19.ts","03a1e8d0-ab4e-11f1-ab90-1607ee4eb77e",99,["D",1788848698157],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rancher_rita.py'],seeds=[108501,108513,108527],days=[3,6,9,12],avg=(a:number[])=>a.reduce((x,y)=>x+y,0)/(a.length||1);\nfunction mm(rows:any[],f:'cropMix'|'animalMix'){const ks=new Set();for(const x of rows)for(const k of Object.keys(x.ref?.[f]??{}))ks.add(k);const o:any={};for(const k of [...ks].sort())o[k]=+avg(rows.map(x=>+(x.ref?.[f]?.[k]??0))).toFixed(1);return o}\nconst out:any={status:'PASS',seeds,refs:{}};for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds}),z:any={wlt:[r.wins,r.losses,r.ties],m:+r.avgMargin.toFixed(0)};for(const d of days){const rows=r.games.map((g:any)=>g.timeline.find((x:any)=>x.day===d));z['D'+d]={cash:+avg(rows.map((x:any)=>x.ref.cash)).toFixed(0),land:+avg(rows.map((x:any)=>x.ref.land)).toFixed(1),crops:+avg(rows.map((x:any)=>x.ref.crops)).toFixed(1),animals:+avg(rows.map((x:any)=>x.ref.animals)).toFixed(1),cropMix:mm(rows,'cropMix'),animalMix:mm(rows,'animalMix')}}out.refs[ref]=z}console.log(JSON.stringify(out));",[],[538],"6c1e6e26-6e2e-4975-a859-fded738fd806","top_capacity_composition_compact_v18.ts","e88badb0-ab4d-11f1-b4d2-1607ee4eb77e",98,["D",1788848652720],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rancher_rita.py'],seeds=[108501,108513,108527],days=[3,6,9,12];\nconst avg=(a:number[])=>a.reduce((x,y)=>x+y,0)/(a.length||1);\nfunction meanMap(rows:any[],side:'ours'|'ref',f:'cropMix'|'animalMix'){const ks=new Set();for(const x of rows)for(const k of Object.keys(x?.[side]?.[f]??{}))ks.add(k);const o:any={};for(const k of [...ks].sort())o[k]=+avg(rows.map(x=>+(x?.[side]?.[f]?.[k]??0))).toFixed(2);return o}\nconst out:any={status:'PASS',evidenceState:'LEGAL_PUBLIC_TOP_CAPACITY_COMPOSITION_COMPACT_V18',seeds,refs:{}};\nfor(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds}),z:any={wlt:[r.wins,r.losses,r.ties],avgMargin:+r.avgMargin.toFixed(2),days:{}};for(const d of days){const rows=r.games.map((g:any)=>g.timeline.find((x:any)=>x.day===d));const s=(side:'ours'|'ref')=>({cash:+avg(rows.map((x:any)=>x[side].cash)).toFixed(2),land:+avg(rows.map((x:any)=>x[side].land)).toFixed(2),crops:+avg(rows.map((x:any)=>x[side].crops)).toFixed(2),pastures:+avg(rows.map((x:any)=>x[side].pastures)).toFixed(2),animals:+avg(rows.map((x:any)=>x[side].animals)).toFixed(2),cropMix:meanMap(rows,side,'cropMix'),animalMix:meanMap(rows,side,'animalMix')});z.days[d]={ours:s('ours'),ref:s('ref')}}out.refs[ref]=z}\nconsole.log(JSON.stringify(out,null,2));",[],[546],"605d44a6-ca2a-42ae-9168-b3604e2f2c7f","top4_capacity_landmarks_v15.ts","e0e6a85a-ab4b-11f1-b782-1607ee4eb77e",94,["D",1788847780897],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'],seeds=[108401,108413],days=[3,6,9,12];const out:any={status:'PASS',evidenceState:'LEGAL_PUBLIC_TOP4_CAPACITY_LANDMARKS_V15',seeds,refs:{},guardrails:['legal public state only for opponent landmarks','same our policy but SAME_SEED != SAME_WORLD acknowledged','descriptive cross-matchup pattern, not causal proof','no opponent raw actions']};\nconst avg=(a:number[])=>a.reduce((x,y)=>x+y,0)/(a.length||1);for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL'}),z:any={wlt:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,days:{},minCashRef:[],minCashOurs:[]};for(const d of days){const rows=r.games.map((g:any)=>g.timeline.find((x:any)=>x.day===d)).filter(Boolean);z.days[d]={ours:{cash:avg(rows.map((x:any)=>x.ours.cash)),land:avg(rows.map((x:any)=>x.ours.land)),crops:avg(rows.map((x:any)=>x.ours.crops)),animals:avg(rows.map((x:any)=>x.ours.animals)),hands:avg(rows.map((x:any)=>x.ours.hands??0))},ref:{cash:avg(rows.map((x:any)=>x.ref.cash)),land:avg(rows.map((x:any)=>x.ref.land)),crops:avg(rows.map((x:any)=>x.ref.crops)),animals:avg(rows.map((x:any)=>x.ref.animals)),hands:avg(rows.map((x:any)=>x.ref.hands??0))}}}for(const g of r.games){z.minCashOurs.push(Math.min(...g.scenarioTrace.filter((x:any)=>x.day<=12).map((x:any)=>x.me.cash)));z.minCashRef.push(Math.min(...g.scenarioTrace.filter((x:any)=>x.day<=12).map((x:any)=>x.opp.cash)));}z.minCashOursMean=avg(z.minCashOurs);z.minCashRefMean=avg(z.minCashRef);out.refs[ref]=z;}console.log(JSON.stringify(out,null,2));",[],[554],"d37e2c11-9e63-4f14-8240-5258dae81753","telemetry_separation_selftest_v1.ts","01a07f0e-0e12-755c-8cf3-4e0fbb3a8995",["D",1788838022689],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\nconst base:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'melon_mateo.py',seeds:[100577]});\nconst legal:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'melon_mateo.py',seeds:[100577],legalTelemetry:'FULL'});\nconst oracle:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'melon_mateo.py',seeds:[100577],oracleActionTelemetry:'FULL'});\nconst problems:string[]=[];\nfor(const [name,r] of Object.entries({base,legal,oracle}) as any){for(const g of r.games){if(g.ourBank!==(g.ourSeat===0?33289:33247)||g.refBank!==15630)problems.push(`${name}:terminal drift seat=${g.ourSeat}`);if(g.errors!==0)problems.push(`${name}:errors=${g.errors}`)}}\nfor(const g of base.games){if('dailyActions' in g||'actionTimeline' in g)problems.push('base leaked oracle arrays');if(g.actionTelemetryEvidenceState!=='NOT_REQUESTED')problems.push('base wrong oracle state');if(g.legalTrace?.length!==0||g.legalTraceEvidenceState!=='NOT_REQUESTED')problems.push('base wrong legal state')}\nfor(const g of legal.games){if('dailyActions' in g||'actionTimeline' in g)problems.push('legal leaked oracle arrays');if(g.actionTelemetryEvidenceState!=='NOT_REQUESTED')problems.push('legal wrong oracle state');if(g.legalTrace?.length!==719||g.legalTraceEvidenceState!=='LEGAL_OBSERVATION_ONLY_FULL_TURN_TRACE')problems.push('legal trace wrong')}\nfor(const g of oracle.games){if(!Array.isArray(g.dailyActions)||!Array.isArray(g.actionTimeline))problems.push('oracle arrays missing');if(g.actionTelemetryEvidenceState!=='OFFLINE_ORACLE_NOT_DEPLOYABLE')problems.push('oracle evidence state wrong');if(g.legalTrace?.length!==0)problems.push('oracle unexpectedly has legal trace')}\nconsole.log(JSON.stringify({status:problems.length?'FAIL':'PASS',core:AUTOLAB_CORE_VERSION,baseKeys:Object.keys(base.games[0]).sort(),legalTrace:legal.games[0].legalTrace?.length,oracleDaily:oracle.games[0].dailyActions?.length,oracleTimeline:oracle.games[0].actionTimeline?.length,problems},null,2));\nif(problems.length)throw new Error(problems.join('; '));",[],[562],"16d09834-275b-48bd-9c7b-273f3492e512","task_service_census_v2.ts","e15d3fb0-ab82-11f1-b579-1607ee4eb77e",137,["D",1788871404019],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[109701,109713,109727,109739], targets=['broker_bea.py','rancher_rita.py'], windows=[[9,15],[18,27]] as const;\nfunction cropStats(l:any){let y=0,w=0;for(const x of Object.values(l?.crops??{}) as any[]){y+=Number(x?.yieldSum??0);w+=Number(x?.waterStress??0)}return{y,w}}\nfunction animalStats(l:any){let u=0,c=0;for(const [k,x] of Object.entries(l?.animals??{}) as any[]){if(k==='UNKNOWN')continue;u+=Number(x?.unfedStress??0);c+=Number(x?.pendingCare??0)}return{u,c}}\nfunction sumGame(g:any,a:number,b:number){const rows=(g.scenarioTrace??[]).filter((x:any)=>Number(x.day)>=a&&Number(x.day)0)hb++;ha+=c.y;if(c.w>0)wh++;wa+=c.w;if(an.u>0)uh++;ua+=an.u;if(an.c>0)ch++;ca+=an.c;if(x?.ourRequestedAction?.farmer==='PICKUP')p++;sq+=Number(x?.ourRequestedAction?.sellQty??0);so+=Number(x?.ourRequestedAction?.sellOps??0);shed+=Number(x?.ownPrivate?.shedQty??0);if(Number(x?.ownPrivate?.shedUtilization??0)>=.8)sh++;}return{rows:rows.length,hb,ha,wh,wa,uh,ua,ch,ca,p,sq,so,meanShed:shed/rows.length,sh};}\nconst out:any={status:'PASS',schema:'KAG_TASK_SERVICE_CENSUS_V2_COMPACT',core:AUTOLAB_CORE_VERSION,seeds,targets:{}};\nfor(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const agg:any={};for(const [a,b] of windows){const k=`D${a}_${b}`,xs=r.games.map((g:any)=>sumGame(g,a,b));agg[k]={games:xs.length,rows:xs.reduce((s:any,x:any)=>s+x.rows,0),harvestBacklogHours:xs.reduce((s:any,x:any)=>s+x.hb,0),harvestYieldArea:xs.reduce((s:any,x:any)=>s+x.ha,0),waterStressHours:xs.reduce((s:any,x:any)=>s+x.wh,0),waterStressArea:xs.reduce((s:any,x:any)=>s+x.wa,0),unfedHours:xs.reduce((s:any,x:any)=>s+x.uh,0),unfedArea:xs.reduce((s:any,x:any)=>s+x.ua,0),careBacklogHours:xs.reduce((s:any,x:any)=>s+x.ch,0),careArea:xs.reduce((s:any,x:any)=>s+x.ca,0),pickupFarmer:xs.reduce((s:any,x:any)=>s+x.p,0),sellQty:xs.reduce((s:any,x:any)=>s+x.sq,0),sellOps:xs.reduce((s:any,x:any)=>s+x.so,0),meanShed:xs.reduce((s:any,x:any)=>s+x.meanShed,0)/xs.length,shedHighRows:xs.reduce((s:any,x:any)=>s+x.sh,0)};}out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},aggregate:agg};}\nfor(const k of ['D9_15','D18_27']){const b=out.targets['broker_bea.py'].aggregate[k], r=out.targets['rancher_rita.py'].aggregate[k]; out.targets[`comparison_${k}`]={brokerMinusRita:{harvestYieldArea:b.harvestYieldArea-r.harvestYieldArea,waterStressArea:b.waterStressArea-r.waterStressArea,unfedArea:b.unfedArea-r.unfedArea,careArea:b.careArea-r.careArea,pickupFarmer:b.pickupFarmer-r.pickupFarmer,sellQty:b.sellQty-r.sellQty,meanShed:b.meanShed-r.meanShed}};}\nconsole.log(JSON.stringify(out,null,2));",[],[569],"07e9e2d8-e8e2-4ce9-852b-3a9a77e2243e","shared_market_fixed_history_attribution_v1.ts","d2b4b5a2-ab45-11f1-9d86-1607ee4eb77e",63,["D",1788845180120],"import { unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './lib/kaggriculture_engine_loader.ts';\n\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst TARGETS=['closer_cleo.py','broker_bea.py','rancher_rita.py','rotation_rosa.py'];\nconst SEEDS=[107601,107613];\nconst E=await loadOfficialKaggricultureEngine();\nconst rr=await fetch(DATASET); if(!rr.ok) throw new Error(`HTTP ${rr.status}`);\nconst z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();\npy.runPython(`import json\\n_SRC={}\\n_REG={}`);\nfor(const n of [...new Set([...TARGETS,'rotation_rosa.py','rancher_rita.py'])]){\n py.globals.set('nm',n); py.globals.set('src',strFromU8(z[n]));\n py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`);\n}\npy.runPython(`\ndef reset_ref(n):\n _n={}; exec(_SRC[n],_n); _REG[n]=_n['agent']\ndef call_ref(n,p): return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\ndef call_fresh(n,p):\n _n={}; exec(_SRC[n],_n); return json.dumps(_n['agent'](json.loads(p)),sort_keys=True)\ndef call_replay(n,hist,p):\n _n={}; exec(_SRC[n],_n); a=_n['agent']\n for x in json.loads(hist): a(x)\n return json.dumps(a(json.loads(p)),sort_keys=True)\n`);\nconst resetRef=py.globals.get('reset_ref'), callRef=py.globals.get('call_ref'), callFresh=py.globals.get('call_fresh'), callReplay=py.globals.get('call_replay');\nconst call=(fn:any,n:string,o:any)=>JSON.parse(String(fn(n,JSON.stringify(o))));\nconst replay=(n:string,h:any[],o:any)=>JSON.parse(String(callReplay(n,JSON.stringify(h),JSON.stringify(o))));\nconst phase=(d:number)=>d<6?'EARLY':d<18?'MID':d<27?'LATE':'CLOSING';\nconst sig=(a:any)=>JSON.stringify(a);\nfunction digestObs(o:any){return JSON.stringify({meCash:o?.player?.cash??o?.me?.cash,oppCash:o?.opponent?.cash??o?.opp?.cash,market:o?.market,day:o?.day,hour:o?.hour,step:o?.step});}\nfunction marketLen(a:any){return Array.isArray(a?.market)?a.market.length:0}\nfunction perturb(o:any,kind:'PRICE'|'INVENTORY',side:'LO'|'HI'){\n const x=structuredClone(o); const nat=Number(kind==='PRICE'?x.market?.prices?.WHEAT:x.market?.inventory?.WHEAT);\n if(kind==='PRICE') x.market.prices.WHEAT=Math.max(1,Math.round(nat*(side==='LO'?0.5:2.0)));\n else x.market.inventory.WHEAT=Math.max(0,Math.round(nat+(side==='LO'?-1000:1000)));\n return x;\n}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_HISTORY_SHARED_MARKET_ATTRIBUTION_V1',seeds:SEEDS,targets:{},guardrails:['raw opponent action used only offline as treatment detector','single-factor WHEAT price or inventory intervention','cash/public farm held fixed','not champion proof','zero response means tested-context null only']};\nfor(const target of TARGETS){\n const other=target==='rotation_rosa.py'?'rancher_rita.py':'rotation_rosa.py';\n const stat:any={contexts:0,replayMismatch:0,price:{actionDiff:0,publicEffect:0},inventory:{actionDiff:0,publicEffect:0},byPhase:{},examples:[]};\n for(const seed of SEEDS) for(const targetSeat of [0,1] as const){\n resetRef(target); resetRef(other); const cfg=E.state.resolveConfig({seed}); let s=E.state.initGameState(2,cfg,seed); const hist:any[]=[]; const used:any={MID:0,LATE:0,CLOSING:0};\n while(!s.done){\n const to=observationFor(s,targetSeat), oo=observationFor(s,1-targetSeat); const aNat=call(callRef,target,to), aOther=call(callRef,other,oo); const ph=phase(Number(s.day));\n const eligible=(ph==='MID'||ph==='LATE'||ph==='CLOSING') && used[ph]<2 && marketLen(aNat)>=2;\n if(eligible){\n used[ph]++; stat.contexts++; stat.byPhase[ph]=stat.byPhase[ph]??{contexts:0,priceDiff:0,inventoryDiff:0}; stat.byPhase[ph].contexts++;\n const base=target==='closer_cleo.py'?replay(target,hist,to):call(callFresh,target,to); if(sig(base)!==sig(aNat)) stat.replayMismatch++;\n for(const kind of ['PRICE','INVENTORY'] as const){\n const loObs=perturb(to,kind,'LO'), hiObs=perturb(to,kind,'HI');\n const aLo=target==='closer_cleo.py'?replay(target,hist,loObs):call(callFresh,target,loObs);\n const aHi=target==='closer_cleo.py'?replay(target,hist,hiObs):call(callFresh,target,hiObs);\n const diff=sig(aLo)!==sig(aHi); const k=kind==='PRICE'?'price':'inventory'; if(diff){stat[k].actionDiff++; stat.byPhase[ph][kind==='PRICE'?'priceDiff':'inventoryDiff']++;}\n let effect=false;\n if(diff){\n const actsLo:any[]=[]; actsLo[targetSeat]=aLo; actsLo[1-targetSeat]=aOther;\n const actsHi:any[]=[]; actsHi[targetSeat]=aHi; actsHi[1-targetSeat]=aOther;\n const nLo=E.interpreter.step(s,actsLo,cfg), nHi=E.interpreter.step(s,actsHi,cfg);\n effect=digestObs(observationFor(nLo,targetSeat))!==digestObs(observationFor(nHi,targetSeat));\n if(effect) stat[k].publicEffect++;\n if(stat.examples.length<16) stat.examples.push({target,seed,targetSeat,step:s.step,day:s.day,hour:s.hour,phase:ph,kind,naturalWheatPrice:to.market?.prices?.WHEAT,naturalWheatInventory:to.market?.inventory?.WHEAT,marketLen:marketLen(aNat),effect,aLoMarket:aLo?.market??[],aHiMarket:aHi?.market??[]});\n }\n }\n }\n hist.push(structuredClone(to)); const acts:any[]=[]; acts[targetSeat]=aNat; acts[1-targetSeat]=aOther; s=E.interpreter.step(s,acts,cfg);\n }\n }\n stat.price.rate=stat.contexts?stat.price.actionDiff/stat.contexts:0; stat.inventory.rate=stat.contexts?stat.inventory.actionDiff/stat.contexts:0;\n out.targets[target]=stat;\n}\nconst cleo=out.targets['closer_cleo.py'],rita=out.targets['rancher_rita.py'],rosa=out.targets['rotation_rosa.py'];\nout.positiveControl={ritaWheatPriceFired:rita.price.actionDiff>0}; out.negativeControl={rosaWheatPriceAndInventoryNull:rosa.price.actionDiff===0&&rosa.inventory.actionDiff===0}; out.cleoHistoryReplayExact=cleo.replayMismatch===0;\nout.status=(out.positiveControl.ritaWheatPriceFired&&out.negativeControl.rosaWheatPriceAndInventoryNull&&out.cleoHistoryReplayExact)?'PASS':'PARTIAL';\nconsole.log(JSON.stringify(out,null,2));\n",[],[577],"25857810-febf-4617-9582-df2b26d79c1e","shared_market_all_price_fixed_history_v2.ts","0fedeea2-ab46-11f1-a8b4-1607ee4eb77e",64,["D",1788845282839],"import { unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nconst TOP=['closer_cleo.py','broker_bea.py']; const SEEDS=[107631,107643];\nconst E=await loadOfficialKaggricultureEngine(); const rr=await fetch(DATASET); if(!rr.ok) throw new Error(`HTTP ${rr.status}`); const z=unzipSync(new Uint8Array(await rr.arrayBuffer())); const py=await loadPyodide();\npy.runPython(`import json\\n_SRC={}\\n_REG={}`);\nfor(const n of [...new Set([...TOP,'rancher_rita.py','rotation_rosa.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\ndef reset_ref(n):\n _n={}; exec(_SRC[n],_n); _REG[n]=_n['agent']\ndef call_ref(n,p): return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\ndef call_fresh(n,p):\n _n={}; exec(_SRC[n],_n); return json.dumps(_n['agent'](json.loads(p)),sort_keys=True)\ndef call_replay(n,hist,p):\n _n={}; exec(_SRC[n],_n); a=_n['agent']\n for x in json.loads(hist): a(x)\n return json.dumps(a(json.loads(p)),sort_keys=True)\n`);\nconst resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callFresh=py.globals.get('call_fresh'),callReplay=py.globals.get('call_replay');\nconst call=(fn:any,n:string,o:any)=>JSON.parse(String(fn(n,JSON.stringify(o)))); const replay=(n:string,h:any[],o:any)=>JSON.parse(String(callReplay(n,JSON.stringify(h),JSON.stringify(o)))); const sig=(a:any)=>JSON.stringify(a); const phase=(d:number)=>d<6?'EARLY':d<18?'MID':d<27?'LATE':'CLOSING';\nfunction marketLen(a:any){return Array.isArray(a?.market)?a.market.length:0} function pObs(o:any,item:string,m:number){const x=structuredClone(o);const nat=Number(x.market?.prices?.[item]);x.market.prices[item]=Math.max(1,Math.round(nat*m));return x}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_HISTORY_ALL_ITEM_PRICE_V2',seeds:SEEDS,items:ITEMS,targets:{},controls:{},guardrails:['one price item varied at a time','exact prior legal history replay for Cleo','raw action only offline treatment detector','market-active context selection','not champion proof']};\nfor(const target of TOP){const other='rotation_rosa.py';const st:any={contexts:0,replayMismatch:0,items:{},byPhase:{},examples:[]};for(const i of ITEMS)st.items[i]={actionDiff:0};\n for(const seed of SEEDS)for(const seat of [0,1] as const){resetRef(target);resetRef(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);const hist:any[]=[];const used:any={MID:0,LATE:0,CLOSING:0};while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),aNat=call(callRef,target,to),aOther=call(callRef,other,oo),ph=phase(Number(s.day));const eligible=(ph==='MID'||ph==='LATE'||ph==='CLOSING')&&used[ph]<1&&marketLen(aNat)>=2;if(eligible){used[ph]++;st.contexts++;st.byPhase[ph]=(st.byPhase[ph]??0)+1;const base=target==='closer_cleo.py'?replay(target,hist,to):call(callFresh,target,to);if(sig(base)!==sig(aNat))st.replayMismatch++;for(const item of ITEMS){const lo=target==='closer_cleo.py'?replay(target,hist,pObs(to,item,0.5)):call(callFresh,target,pObs(to,item,0.5));const hi=target==='closer_cleo.py'?replay(target,hist,pObs(to,item,2.0)):call(callFresh,target,pObs(to,item,2.0));if(sig(lo)!==sig(hi)){st.items[item].actionDiff++;if(st.examples.length<24)st.examples.push({target,seed,seat,step:s.step,day:s.day,hour:s.hour,phase:ph,item,natural:to.market?.prices?.[item],loMarket:lo?.market??[],hiMarket:hi?.market??[]})}}}hist.push(structuredClone(to));const acts:any[]=[];acts[seat]=aNat;acts[1-seat]=aOther;s=E.interpreter.step(s,acts,cfg)}} out.targets[target]=st;}\n// Independent controls on same fresh seeds: Rita WHEAT should fire; Rosa expected null in sampled contexts.\nfor(const target of ['rancher_rita.py','rotation_rosa.py']){const other=target==='rotation_rosa.py'?'rancher_rita.py':'rotation_rosa.py';let tested=0,diff=0;for(const seed of SEEDS)for(const seat of [0,1] as const){resetRef(target);resetRef(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed),used=0;while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),a=call(callRef,target,to),b=call(callRef,other,oo);if(Number(s.day)>=6&&used<6&&marketLen(a)>=2){used++;tested++;const lo=call(callFresh,target,pObs(to,'WHEAT',0.5)),hi=call(callFresh,target,pObs(to,'WHEAT',2.0));if(sig(lo)!==sig(hi))diff++;}const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}}out.controls[target]={tested,diff};}\nout.status=(out.targets['closer_cleo.py'].replayMismatch===0&&out.controls['rancher_rita.py'].diff>0&&out.controls['rotation_rosa.py'].diff===0)?'PASS':'PARTIAL';console.log(JSON.stringify(out,null,2));",[],[585],"47403bd3-12b0-474e-855a-da55e70ce686","shared_market_all_inventory_fixed_history_v3.ts","01a07f7d-fa97-752e-ad71-6cf03afb06ad",68,["D",1788845379022],3,"import { unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nconst TOP=['closer_cleo.py','broker_bea.py']; const SEEDS=[107631,107643];\nconst E=await loadOfficialKaggricultureEngine(); const rr=await fetch(DATASET); if(!rr.ok) throw new Error(`HTTP ${rr.status}`); const z=unzipSync(new Uint8Array(await rr.arrayBuffer())); const py=await loadPyodide();\npy.runPython(`import json\\n_SRC={}\\n_REG={}`);\nfor(const n of [...new Set([...TOP,'rancher_rita.py','rotation_rosa.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\ndef reset_ref(n):\n _n={}; exec(_SRC[n],_n); _REG[n]=_n['agent']\ndef call_ref(n,p): return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\ndef call_fresh(n,p):\n _n={}; exec(_SRC[n],_n); return json.dumps(_n['agent'](json.loads(p)),sort_keys=True)\ndef call_replay(n,hist,p):\n _n={}; exec(_SRC[n],_n); a=_n['agent']\n for x in json.loads(hist): a(x)\n return json.dumps(a(json.loads(p)),sort_keys=True)\n`);\nconst resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callFresh=py.globals.get('call_fresh'),callReplay=py.globals.get('call_replay');\nconst call=(fn:any,n:string,o:any)=>JSON.parse(String(fn(n,JSON.stringify(o)))); const replay=(n:string,h:any[],o:any)=>JSON.parse(String(callReplay(n,JSON.stringify(h),JSON.stringify(o)))); const sig=(a:any)=>JSON.stringify(a); const phase=(d:number)=>d<6?'EARLY':d<18?'MID':d<27?'LATE':'CLOSING';\nfunction marketLen(a:any){return Array.isArray(a?.market)?a.market.length:0} function iObs(o:any,item:string,delta:number){const x=structuredClone(o);const nat=Number(x.market?.inventory?.[item]);x.market.inventory[item]=Math.max(0,Math.round(nat+delta));return x} function pObs(o:any,item:string,m:number){const x=structuredClone(o);const nat=Number(x.market?.prices?.[item]);x.market.prices[item]=Math.max(1,Math.round(nat*m));return x}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_HISTORY_ALL_ITEM_INVENTORY_V3',seeds:SEEDS,items:ITEMS,targets:{},controls:{},guardrails:['one shared-market inventory item varied at a time by +/-1000','exact prior legal history replay for Cleo','raw action only offline treatment detector','market-active context selection','Rita WHEAT-price positive control retained separately','not champion proof']};\nfor(const target of TOP){const other='rotation_rosa.py';const st:any={contexts:0,replayMismatch:0,items:{},byPhase:{},examples:[]};for(const i of ITEMS)st.items[i]={actionDiff:0};\n for(const seed of SEEDS)for(const seat of [0,1] as const){resetRef(target);resetRef(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);const hist:any[]=[];const used:any={MID:0,LATE:0,CLOSING:0};while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),aNat=call(callRef,target,to),aOther=call(callRef,other,oo),ph=phase(Number(s.day));const eligible=(ph==='MID'||ph==='LATE'||ph==='CLOSING')&&used[ph]<1&&marketLen(aNat)>=2;if(eligible){used[ph]++;st.contexts++;st.byPhase[ph]=(st.byPhase[ph]??0)+1;const base=target==='closer_cleo.py'?replay(target,hist,to):call(callFresh,target,to);if(sig(base)!==sig(aNat))st.replayMismatch++;for(const item of ITEMS){const lo=target==='closer_cleo.py'?replay(target,hist,iObs(to,item,-1000)):call(callFresh,target,iObs(to,item,-1000));const hi=target==='closer_cleo.py'?replay(target,hist,iObs(to,item,1000)):call(callFresh,target,iObs(to,item,1000));if(sig(lo)!==sig(hi)){st.items[item].actionDiff++;if(st.examples.length<24)st.examples.push({target,seed,seat,step:s.step,day:s.day,hour:s.hour,phase:ph,item,natural:to.market?.inventory?.[item],loMarket:lo?.market??[],hiMarket:hi?.market??[]})}}}hist.push(structuredClone(to));const acts:any[]=[];acts[seat]=aNat;acts[1-seat]=aOther;s=E.interpreter.step(s,acts,cfg)}} out.targets[target]=st;}\n// Independent controls on same fresh seeds: Rita WHEAT should fire; Rosa expected null in sampled contexts.\nfor(const target of ['rancher_rita.py','rotation_rosa.py']){const other=target==='rotation_rosa.py'?'rancher_rita.py':'rotation_rosa.py';let tested=0,diff=0;for(const seed of SEEDS)for(const seat of [0,1] as const){resetRef(target);resetRef(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed),used=0;while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),a=call(callRef,target,to),b=call(callRef,other,oo);if(Number(s.day)>=6&&used<6&&marketLen(a)>=2){used++;tested++;const lo=call(callFresh,target,pObs(to,'WHEAT',0.5)),hi=call(callFresh,target,pObs(to,'WHEAT',2.0));if(sig(lo)!==sig(hi))diff++;}const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}}out.controls[target]={tested,diff};}\nout.status=(out.targets['closer_cleo.py'].replayMismatch===0&&out.controls['rancher_rita.py'].diff>0&&out.controls['rotation_rosa.py'].diff===0)?'PASS':'PARTIAL';console.log(JSON.stringify(out,null,2));",[],[593],"c36a3ea7-4c4a-4b43-b158-6e08aeccd0fa","sell_first_funding_order_heldout_v13.ts","01a07f9a-e1f1-7139-a433-60d981b64a08",89,["D",1788847294003],4,"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst TARGETS=['broker_bea.py','closer_cleo.py']; const STEPS=[288,576]; const SEEDS=[108011,108023,108037]; const LOW_CASH=[0,200];\nconst E=await loadOfficialKaggricultureEngine(); const rr=await fetch(DATASET); if(!rr.ok)throw new Error(`HTTP ${rr.status}`); const z=unzipSync(new Uint8Array(await rr.arrayBuffer())); const py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}`);for(const n of [...new Set([...TARGETS,'rotation_rosa.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\\ndef reset_ref(n):\\n _n={};exec(_SRC[n],_n);_REG[n]=_n['agent']\\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\\n`);const resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref');const call=(n:string,o:any)=>JSON.parse(String(callRef(n,JSON.stringify(o))));\nconst isSell=(x:any)=>Array.isArray(x)&&String(x[0])==='SELL';function reorderSellsLast(a:any){const x=structuredClone(a),m=x?.market??[];x.market=[...m.filter((q:any)=>!isSell(q)),...m.filter((q:any)=>isSell(q))];return x}function summary(s:any,p:number,startCash:number){const f=structuredClone(s.farms[p]);const moneyDelta=Number(f.money)-startCash;delete f.money;return {moneyDelta,farmSansMoney:f,marketInventory:s.market.inventory}}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FRESH_FIXED_PRESTATE_SELL_FIRST_FUNDING_ORDER_V13',seeds:SEEDS,steps:STEPS,lowCash:LOW_CASH,targets:{},guardrails:['fresh worlds','mirrored seats','same natural prestate within each world','same exact multiset of requested market actions','only queue order changes: natural vs sells-last','official interpreter executes both arms','requires both SELL and spend-like action to count as treatment-fired','raw opponent actions teacher-only','not champion proof']};\nfor(const target of TARGETS){const st:any={prestates:0,treatmentFired:0,orderEffect:0,lowCashOrderEffect:0,highCashControlEffect:0,examples:[]};for(const seed of SEEDS)for(const seat of [0,1] as const){resetRef(target);resetRef('rotation_rosa.py');const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),a=call(target,to),b=call('rotation_rosa.py',oo);if(STEPS.includes(Number(s.step))){st.prestates++;const m=a?.market??[],hasSell=m.some(isSell),hasSpend=m.some((q:any)=>Array.isArray(q)&&['HIRE','BUY_SEED','BUY_PRODUCT','BUY_LAND'].includes(String(q[0])));if(hasSell&&hasSpend){st.treatmentFired++;const alt=reorderSellsLast(a),rows:any[]=[];for(const c of [...LOW_CASH,Number(s.farms[seat].money)]){const sc1=structuredClone(s),sc2=structuredClone(s);sc1.farms[seat].money=c;sc2.farms[seat].money=c;const acts1:any[]=[];acts1[seat]=structuredClone(a);acts1[1-seat]=structuredClone(b);const acts2:any[]=[];acts2[seat]=structuredClone(alt);acts2[1-seat]=structuredClone(b);const n1=E.interpreter.step(sc1,acts1,cfg),n2=E.interpreter.step(sc2,acts2,cfg),s1=summary(n1,seat,c),s2=summary(n2,seat,c),diff=JSON.stringify(s1)!==JSON.stringify(s2);rows.push({cash:c,diff,natural:s1,sellsLast:s2});if(diff){st.orderEffect++;if(c===0||c===200)st.lowCashOrderEffect++;else st.highCashControlEffect++;}}if(rows.some(x=>x.diff)&&st.examples.length<12)st.examples.push({target,seed,seat,step:s.step,day:s.day,hour:s.hour,naturalCash:s.farms[seat].money,naturalQueue:m,sellsLastQueue:alt.market,rows});}}const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}}out.targets[target]=st;}\nout.status=Object.values(out.targets).some((x:any)=>x.treatmentFired>0)?'PASS':'PARTIAL';const compact:any={status:out.status,evidenceState:out.evidenceState,seeds:out.seeds,steps:out.steps,lowCash:out.lowCash,targets:{},guardrails:out.guardrails};for(const [k,v] of Object.entries(out.targets) as any)compact.targets[k]={prestates:v.prestates,treatmentFired:v.treatmentFired,orderEffect:v.orderEffect,lowCashOrderEffect:v.lowCashOrderEffect,highCashControlEffect:v.highCashControlEffect};console.log(JSON.stringify(compact,null,2));",[],[602],"587af0ea-8d40-454f-9697-1dc32d9e610e","sell_first_funding_order_counterfactual_v12.ts","86304228-ab4a-11f1-a85d-1607ee4eb77e",84,["D",1788847223456],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst TARGETS=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py']; const STEPS=[288,576]; const SEED=107971; const LOW_CASH=[0,200];\nconst E=await loadOfficialKaggricultureEngine(); const rr=await fetch(DATASET); if(!rr.ok)throw new Error(`HTTP ${rr.status}`); const z=unzipSync(new Uint8Array(await rr.arrayBuffer())); const py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}`);for(const n of [...new Set([...TARGETS,'rotation_rosa.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\\ndef reset_ref(n):\\n _n={};exec(_SRC[n],_n);_REG[n]=_n['agent']\\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\\n`);const resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref');const call=(n:string,o:any)=>JSON.parse(String(callRef(n,JSON.stringify(o))));\nconst isSell=(x:any)=>Array.isArray(x)&&String(x[0])==='SELL';function reorderSellsLast(a:any){const x=structuredClone(a),m=x?.market??[];x.market=[...m.filter((q:any)=>!isSell(q)),...m.filter((q:any)=>isSell(q))];return x}function summary(s:any,p:number,startCash:number){const f=structuredClone(s.farms[p]);const moneyDelta=Number(f.money)-startCash;delete f.money;return {moneyDelta,farmSansMoney:f,marketInventory:s.market.inventory}}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_PRESTATE_SELL_FIRST_FUNDING_ORDER_V12',seed:SEED,steps:STEPS,lowCash:LOW_CASH,targets:{},guardrails:['same natural prestate','same exact multiset of requested market actions','only queue order changes: natural vs sells-last','official interpreter executes both arms','requires both SELL and spend-like action to count as treatment-fired','raw opponent actions teacher-only','not champion proof']};\nfor(const target of TARGETS){const st:any={prestates:0,treatmentFired:0,orderEffect:0,lowCashOrderEffect:0,highCashControlEffect:0,examples:[]};for(const seat of [0,1] as const){resetRef(target);resetRef('rotation_rosa.py');const cfg=E.state.resolveConfig({seed:SEED});let s=E.state.initGameState(2,cfg,SEED);while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),a=call(target,to),b=call('rotation_rosa.py',oo);if(STEPS.includes(Number(s.step))){st.prestates++;const m=a?.market??[],hasSell=m.some(isSell),hasSpend=m.some((q:any)=>Array.isArray(q)&&['HIRE','BUY_SEED','BUY_PRODUCT','BUY_LAND'].includes(String(q[0])));if(hasSell&&hasSpend){st.treatmentFired++;const alt=reorderSellsLast(a),rows:any[]=[];for(const c of [...LOW_CASH,Number(s.farms[seat].money)]){const sc1=structuredClone(s),sc2=structuredClone(s);sc1.farms[seat].money=c;sc2.farms[seat].money=c;const acts1:any[]=[];acts1[seat]=structuredClone(a);acts1[1-seat]=structuredClone(b);const acts2:any[]=[];acts2[seat]=structuredClone(alt);acts2[1-seat]=structuredClone(b);const n1=E.interpreter.step(sc1,acts1,cfg),n2=E.interpreter.step(sc2,acts2,cfg),s1=summary(n1,seat,c),s2=summary(n2,seat,c),diff=JSON.stringify(s1)!==JSON.stringify(s2);rows.push({cash:c,diff,natural:s1,sellsLast:s2});if(diff){st.orderEffect++;if(c===0||c===200)st.lowCashOrderEffect++;else st.highCashControlEffect++;}}if(rows.some(x=>x.diff)&&st.examples.length<12)st.examples.push({target,seat,step:s.step,day:s.day,hour:s.hour,naturalCash:s.farms[seat].money,naturalQueue:m,sellsLastQueue:alt.market,rows});}}const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}}out.targets[target]=st;}\nout.status=Object.values(out.targets).some((x:any)=>x.treatmentFired>0)?'PASS':'PARTIAL';const compact:any={status:out.status,evidenceState:out.evidenceState,seed:out.seed,steps:out.steps,lowCash:out.lowCash,targets:{},guardrails:out.guardrails};for(const [k,v] of Object.entries(out.targets) as any)compact.targets[k]={prestates:v.prestates,treatmentFired:v.treatmentFired,orderEffect:v.orderEffect,lowCashOrderEffect:v.lowCashOrderEffect,highCashControlEffect:v.highCashControlEffect};console.log(JSON.stringify(compact,null,2));",[],[611],"cd7b26bd-8712-48fb-97ea-5b00123adaf4","rita_wheat_logic_slice_v1.ts","a6601f7e-ab71-11f1-9529-1607ee4eb77e",107,["D",1788864003594],"import { unzipSync,strFromU8 } from 'npm:fflate';const r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');const z=unzipSync(new Uint8Array(await r.arrayBuffer())),lines=strFromU8(z['rancher_rita.py']).split('\\n');for(const [a,b] of [[395,430],[430,475]])console.log(lines.slice(a-1,b).map((x,i)=>`${a+i}|${x}`).join('\\n'));",[],[619],"e4e998c7-6658-48f0-a560-88aae8744c57","rita_wheat_logic_probe_v1.ts","9cf581e0-ab71-11f1-83ee-1607ee4eb77e",106,["D",1788863987803],"import { unzipSync,strFromU8 } from 'npm:fflate';\nconst r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer())),src=strFromU8(z['rancher_rita.py']);const lines=src.split('\\n'),keys=['feed_float_days','wheat_batch','max_wheat_price','BUY_PRODUCT','WHEAT','feed_days','carry'];const hits:any[]=[];for(let i=0;ilines[i].includes(k))){const a=Math.max(0,i-3),b=Math.min(lines.length,i+4);hits.push({line:i+1,context:lines.slice(a,b).map((x,j)=>`${a+j+1}|${x}`)})}console.log(JSON.stringify({status:'PASS',evidenceState:'REFERENCE_SOURCE_LOGIC_INSPECTION_OFFLINE_NOT_DEPLOYABLE',hits},null,2));",[],[627],"f5790024-96ce-4ecf-af35-fddca4c4a414","rita_routing_feed_slice_v2.ts","edde1478-ab80-11f1-9ca6-1607ee4eb77e",["D",1788870565946],"import { unzipSync,strFromU8 } from 'npm:fflate';const r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer())),lines=strFromU8(z['rancher_rita.py']).split('\\n');for(const [a,b] of [[259,340],[520,650]])console.log(lines.slice(a-1,b).map((x,i)=>`${a+i}|${x}`).join('\\n'));",[],[635],"940ec443-43dd-44cf-94d7-5a397d168304","rita_job_priority_slice_v1.ts","f91e7eb8-ab80-11f1-b90d-1607ee4eb77e",127,["D",1788870584870],"import { unzipSync,strFromU8 } from 'npm:fflate';const r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer())),lines=strFromU8(z['rancher_rita.py']).split('\\n');const a=339,b=390;console.log(lines.slice(a-1,b).map((x,i)=>`${a+i}|${x}`).join('\\n'));",[],[642],"1d9cd479-2b17-45c0-b5db-d295507dcf4c","rita_feed_execution_slice_v1.ts","dd43538a-ab80-11f1-9f6d-1607ee4eb77e",125,["D",1788870538140],"import { unzipSync,strFromU8 } from 'npm:fflate';const r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer())),lines=strFromU8(z['rancher_rita.py']).split('\\n');const hits:any[]=[];for(let i=0;i`${a+j+1}|${x}`)});}console.log(JSON.stringify({status:'PASS',evidenceState:'REFERENCE_SOURCE_FEED_EXECUTION_OFFLINE_NOT_DEPLOYABLE',hits},null,2));",[],[650],"eb372c61-2dcf-4e78-a667-64a7263892a9","rita_capacity_control_v20.ts","0ceb477e-ab4e-11f1-b8bb-1607ee4eb77e",100,["D",1788848713744],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst seeds=[108501,108513,108527];\nconst r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'rancher_rita.py',seeds});\nconst days=[3,6,9,12];\nconst avg=(xs:number[])=>xs.reduce((a,b)=>a+b,0)/(xs.length||1);\nconst out:any={status:'PASS',evidenceState:'RITA_CAPACITY_CONTROL_V20',seeds,wlt:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,days:{}};\nfor(const d of days){const rows=r.games.map((g:any)=>g.timeline.find((x:any)=>x.day===d));const keys=(fld:string)=>[...new Set(rows.flatMap((x:any)=>Object.keys(x.ref?.[fld]??{})))];const map=(fld:string)=>Object.fromEntries(keys(fld).map(k=>[k,avg(rows.map((x:any)=>Number(x.ref?.[fld]?.[k]??0)))]));out.days[d]={cash:avg(rows.map((x:any)=>x.ref.cash)),land:avg(rows.map((x:any)=>x.ref.land)),crops:avg(rows.map((x:any)=>x.ref.crops)),animals:avg(rows.map((x:any)=>x.ref.animals)),cropMix:map('cropMix'),animalMix:map('animalMix')}}\nconsole.log(JSON.stringify(out,null,2));",[],[658],"7ad0af7a-4d4d-42db-9cae-c8d6ca343daf","real_scenario_trace_selftest_v1.ts","520056f6-ab35-11f1-b7b7-1607ee4eb77e",["D",1788838092247],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\n\nconst refs=['rotation_rosa.py','homestead_hana.py','melon_mateo.py'];\nconst seeds=[100577];\nfunction sig(g:any){return {seed:g.seed,ourSeat:g.ourSeat,ourBank:g.ourBank,refBank:g.refBank,margin:g.margin,winner:g.winner,errors:g.errors,timeline:g.timeline,actionTimeline:g.actionTimeline,dailyActions:g.dailyActions};}\nfunction eq(a:any,b:any){return JSON.stringify(a)===JSON.stringify(b)}\nconst rows:any[]=[];\nlet pass=true;\nfor(const ref of refs){\n const base=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,oracleActionTelemetry:'FULL'});\n const traced=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,oracleActionTelemetry:'FULL',scenarioTelemetry:'FULL'});\n const same=eq(base.games.map(sig),traced.games.map(sig));\n const traceLengths=traced.games.map((g:any)=>g.scenarioTrace?.length??0);\n const evidence=traced.games.map((g:any)=>g.scenarioTraceEvidenceState);\n rows.push({ref,same,traceLengths,evidence});\n pass&&=same&&traceLengths.every((n:number)=>n===719)&&evidence.every((x:string)=>x==='REAL_OFFICIAL_ENGINE_OWN_PRIVATE_PLUS_LEGAL_PUBLIC_TRACE');\n}\nconst probe={x:1,y:2};const mutated={...probe,y:3};const mutationCaught=!eq(probe,mutated);pass&&=mutationCaught;\nconsole.log(JSON.stringify({status:pass?'PASS':'FAIL',core:AUTOLAB_CORE_VERSION,rows,mutationCaught,evidenceState:'SCENARIO_TELEMETRY_NONREGRESSION_SELFTEST'},null,2));\nif(!pass) throw new Error('real scenario trace selftest failed');",[],[666],"076e6725-8789-4ff0-822c-12fc6a784ad1","real_scenario_rare_scan_v1.ts","a63e9890-ab35-11f1-94ca-1607ee4eb77e",10,["D",1788838233504],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['rancher_rita.py','broker_bea.py'];\nconst variants=['MIX11','M60_FERT','MIX11_LIQ21','MIX11_LIQ24'];\nconst seeds=[100591,100609];\nconst rows:any[]=[];let global={maxShed:0,shed80Rows:0,shed95Rows:0,maxRequested:0,saturatedRows:0,dropRiskRows:0,maxShopMultiplicity:0,duplicateRows:0,weedRows:0};\nfor(const ref of refs)for(const variant of variants){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,scenarioTelemetry:'FULL'});let x={ref,variant,games:r.games.length,maxShed:0,shed80Rows:0,shed95Rows:0,maxRequested:0,saturatedRows:0,dropRiskRows:0,maxShopMultiplicity:0,duplicateRows:0,weedRows:0};for(const g of r.games)for(const t of g.scenarioTrace??[]){const s=Number(t.ownPrivate?.shedQty??0),q=Number(t.marketOrderBudget?.requested??0),m=Number(t.townScenario?.maxShopMultiplicity??0);x.maxShed=Math.max(x.maxShed,s);global.maxShed=Math.max(global.maxShed,s);if(s>=80){x.shed80Rows++;global.shed80Rows++}if(s>=95){x.shed95Rows++;global.shed95Rows++}x.maxRequested=Math.max(x.maxRequested,q);global.maxRequested=Math.max(global.maxRequested,q);if(t.marketOrderBudget?.saturated){x.saturatedRows++;global.saturatedRows++}if(Number(t.marketOrderBudget?.potentialDropped??0)>0){x.dropRiskRows++;global.dropRiskRows++}x.maxShopMultiplicity=Math.max(x.maxShopMultiplicity,m);global.maxShopMultiplicity=Math.max(global.maxShopMultiplicity,m);if(Number(t.townScenario?.duplicateShopCount??0)>0){x.duplicateRows++;global.duplicateRows++}const kinds=Object.keys(t.publicTileKinds?.me??{}).concat(Object.keys(t.publicTileKinds?.opp??{}));if(kinds.some(k=>k.toUpperCase().includes('WEED'))){x.weedRows++;global.weedRows++}}rows.push(x)}\nconsole.log(JSON.stringify({status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'REAL_OFFICIAL_ENGINE_TARGETED_RARE_CONDITION_SCAN',refs,variants,seeds,global,rows},null,2));",[],[673],"3e8637cd-2067-48cf-a938-f63ff051d198","real_scenario_atlas_v1.ts","704ee21c-ab35-11f1-9c17-1607ee4eb77e",9,["D",1788838143065],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\n\nconst refs=['rotation_rosa.py','homestead_hana.py','melon_mateo.py','rancher_rita.py','broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];\nconst seeds=[100577];\nconst items=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nconst agg:any={core:AUTOLAB_CORE_VERSION,games:0,turnRows:0,phases:{},duplicateShopRows:0,maxShopMultiplicity:0,shed:{max:0,ge80:0,ge95:0,ge100:0},orderBudget:{saturated:0,potentialDroppedRows:0,maxRequested:0},tileKinds:{me:{},opp:{}},market:{},cash:{meMin:Infinity,meMax:-Infinity,oppMin:Infinity,oppMax:-Infinity},land:{meMin:Infinity,meMax:-Infinity,oppMin:Infinity,oppMax:-Infinity},byRef:{}};\nfor(const it of items)agg.market[it]={priceMin:Infinity,priceMax:-Infinity,inventoryMin:Infinity,inventoryMax:-Infinity};\nfunction bump(m:any,k:string,n=1){m[k]=(m[k]??0)+n}\nfor(const ref of refs){\n const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL'});\n const rr:any={games:r.games.length,rows:0,dupRows:0,maxShopMultiplicity:0,maxShed:0,saturatedRows:0,maxRequested:0,weedLikeRows:0};\n for(const g of r.games){agg.games++; for(const x of g.scenarioTrace??[]){agg.turnRows++;rr.rows++;\n bump(agg.phases,String(x.horizon?.phase??'UNKNOWN'));\n const mult=Number(x.townScenario?.maxShopMultiplicity??0);agg.maxShopMultiplicity=Math.max(agg.maxShopMultiplicity,mult);rr.maxShopMultiplicity=Math.max(rr.maxShopMultiplicity,mult);if(Number(x.townScenario?.duplicateShopCount??0)>0){agg.duplicateShopRows++;rr.dupRows++;}\n const shed=Number(x.ownPrivate?.shedQty??0);agg.shed.max=Math.max(agg.shed.max,shed);rr.maxShed=Math.max(rr.maxShed,shed);if(shed>=80)agg.shed.ge80++;if(shed>=95)agg.shed.ge95++;if(shed>=100)agg.shed.ge100++;\n const req=Number(x.marketOrderBudget?.requested??0);agg.orderBudget.maxRequested=Math.max(agg.orderBudget.maxRequested,req);rr.maxRequested=Math.max(rr.maxRequested,req);if(x.marketOrderBudget?.saturated){agg.orderBudget.saturated++;rr.saturatedRows++;}if(Number(x.marketOrderBudget?.potentialDropped??0)>0)agg.orderBudget.potentialDroppedRows++;\n for(const [k,v] of Object.entries(x.publicTileKinds?.me??{}))bump(agg.tileKinds.me,k,Number(v)||0);for(const [k,v] of Object.entries(x.publicTileKinds?.opp??{})){bump(agg.tileKinds.opp,k,Number(v)||0);if(String(k).toUpperCase().includes('WEED')&&(Number(v)||0)>0)rr.weedLikeRows++;}\n agg.cash.meMin=Math.min(agg.cash.meMin,Number(x.me?.cash??0));agg.cash.meMax=Math.max(agg.cash.meMax,Number(x.me?.cash??0));agg.cash.oppMin=Math.min(agg.cash.oppMin,Number(x.opp?.cash??0));agg.cash.oppMax=Math.max(agg.cash.oppMax,Number(x.opp?.cash??0));\n agg.land.meMin=Math.min(agg.land.meMin,Number(x.me?.land??0));agg.land.meMax=Math.max(agg.land.meMax,Number(x.me?.land??0));agg.land.oppMin=Math.min(agg.land.oppMin,Number(x.opp?.land??0));agg.land.oppMax=Math.max(agg.land.oppMax,Number(x.opp?.land??0));\n for(const it of items){const p=Number(x.market?.prices?.[it]??0),iv=Number(x.market?.inventory?.[it]??0),m=agg.market[it];m.priceMin=Math.min(m.priceMin,p);m.priceMax=Math.max(m.priceMax,p);m.inventoryMin=Math.min(m.inventoryMin,iv);m.inventoryMax=Math.max(m.inventoryMax,iv);}\n }}\n agg.byRef[ref]=rr;\n}\nconst conditions={\n phaseCoverage:['EARLY','MID','LATE','CLOSING'].filter(p=>(agg.phases[p]??0)>0),\n duplicateShopsObserved:agg.duplicateShopRows>0,\n shedPressure80Observed:agg.shed.ge80>0,\n shedAtCapacityObserved:agg.shed.ge100>0,\n marketOrderSaturationObserved:agg.orderBudget.saturated>0,\n marketOrderDropRiskObserved:agg.orderBudget.potentialDroppedRows>0,\n weedLikeKindsObserved:Object.keys(agg.tileKinds.me).concat(Object.keys(agg.tileKinds.opp)).some(k=>k.toUpperCase().includes('WEED')),\n bothSeats:true,\n allEightReferenceFamilies:refs.length===8,\n officialDecisionRowsPerGame:agg.turnRows===agg.games*719\n};\nconsole.log(JSON.stringify({status:conditions.officialDecisionRowsPerGame?'PASS':'FAIL',evidenceState:'REAL_OFFICIAL_ENGINE_SCENARIO_ATLAS_SAMPLE',seeds,refs,conditions,aggregate:agg},null,2));",[],[681],"17a7c624-f581-4b19-b0d7-101438e14cda","public_tile_schema_probe_v1.ts","3faa6fe8-ab3d-11f1-8dcc-1607ee4eb77e",37,["D",1788841497459],"import { unzipSync,strFromU8 } from 'npm:fflate';import { loadPyodide } from 'npm:pyodide';import { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst E=await loadOfficialKaggricultureEngine(),u='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents',r=await fetch(u);if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_R={}`);for(const n of ['broker_bea.py','rotation_rosa.py']){py.globals.set('n',n);py.globals.set('s',strFromU8(z[n]));py.runPython(`_x={}\\nexec(s,_x)\\n_R[n]=_x['agent']`)}py.runPython(`def c(n,p): return json.dumps(_R[n](json.loads(p)))`);const c=py.globals.get('c');\nconst seed=106001,cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);const checkpoints=new Set([0,1,24,72,144,288,432,648,696]),rows:any[]=[];while(!s.done){if(checkpoints.has(Number(s.step))){const o=observationFor(s,1);const f=o.farms[0];const kinds:any={},keys=new Set();for(const row of f.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;Object.keys(t).forEach(k=>keys.add(k));const k=String(t.kind??'UNKNOWN');if(!kinds[k])kinds[k]=t}rows.push({step:s.step,day:s.day,hour:s.hour,opponentFarmKeys:Object.keys(f??{}),tileKeys:[...keys].sort(),samples:kinds})}const a0=JSON.parse(String(c('broker_bea.py',JSON.stringify(observationFor(s,0))))),a1=JSON.parse(String(c('rotation_rosa.py',JSON.stringify(observationFor(s,1)))));s=E.interpreter.step(s,[a0,a1],cfg)}console.log(JSON.stringify({status:'PASS',evidenceState:'LEGAL_PUBLIC_TILE_SCHEMA_PROBE',seed,rows},null,2));",[],[689],"05817ca6-8720-4338-b0b5-27ed6071aca3","public_shop_fixed_history_probe_v5.ts","d783f9c0-ab46-11f1-98f3-1607ee4eb77e",70,["D",1788845617672],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents',TARGETS=['closer_cleo.py','broker_bea.py','rancher_rita.py','rotation_rosa.py'],SEEDS=[107681,107693];\nconst E=await loadOfficialKaggricultureEngine(),rr=await fetch(DATASET);if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}`);for(const n of [...new Set([...TARGETS,'rotation_rosa.py','rancher_rita.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\ndef reset_ref(n):\n _n={};exec(_SRC[n],_n);_REG[n]=_n['agent']\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\ndef call_fresh(n,p):\n _n={};exec(_SRC[n],_n);return json.dumps(_n['agent'](json.loads(p)),sort_keys=True)\ndef call_replay(n,hist,p):\n _n={};exec(_SRC[n],_n);a=_n['agent']\n for x in json.loads(hist):a(x)\n return json.dumps(a(json.loads(p)),sort_keys=True)\n`);const resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callFresh=py.globals.get('call_fresh'),callReplay=py.globals.get('call_replay');const call=(fn:any,n:string,o:any)=>JSON.parse(String(fn(n,JSON.stringify(o)))),replay=(n:string,h:any[],o:any)=>JSON.parse(String(callReplay(n,JSON.stringify(h),JSON.stringify(o)))),sig=(a:any)=>JSON.stringify(a),phase=(d:number)=>d<6?'EARLY':d<18?'MID':d<27?'LATE':'CLOSING';\nfunction mlen(a:any){return Array.isArray(a?.market)?a.market.length:0}function shops(o:any){return Array.isArray(o?.town?.unlocked_shops)?o.town.unlocked_shops:[]}function withShops(o:any,s:any[]){const x=structuredClone(o);x.town.unlocked_shops=s;return x}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_HISTORY_PUBLIC_SHOP_CONTEXT_V5',seeds:SEEDS,targets:{},guardrails:['prices inventories cash farms held fixed','one shop instance removed or duplicated at a time','exact prior legal history replay for Cleo','raw action offline treatment detector only','not champion proof']};\nfor(const target of TARGETS){const other=target==='rotation_rosa.py'?'rancher_rita.py':'rotation_rosa.py',st:any={contexts:0,replayMismatch:0,removeTests:0,removeDiff:0,duplicateTests:0,duplicateDiff:0,byPhase:{},examples:[]};for(const seed of SEEDS)for(const seat of [0,1] as const){resetRef(target);resetRef(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed),hist:any[]=[];const used:any={MID:0,LATE:0,CLOSING:0};while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),aNat=call(callRef,target,to),aOther=call(callRef,other,oo),ph=phase(Number(s.day)),sh=shops(to);if((ph==='MID'||ph==='LATE'||ph==='CLOSING')&&used[ph]<1&&mlen(aNat)>=2&&sh.length>0){used[ph]++;st.contexts++;st.byPhase[ph]=st.byPhase[ph]??{contexts:0,removeDiff:0,duplicateDiff:0};st.byPhase[ph].contexts++;const base=target==='closer_cleo.py'?replay(target,hist,to):call(callFresh,target,to);if(sig(base)!==sig(aNat))st.replayMismatch++;const uniq=[...new Set(sh.map(String))];for(const q of uniq.slice(0,3)){const idx=sh.findIndex((x:any)=>String(x)===q),rm=[...sh.slice(0,idx),...sh.slice(idx+1)],dup=[...sh,q];const aRm=target==='closer_cleo.py'?replay(target,hist,withShops(to,rm)):call(callFresh,target,withShops(to,rm)),aDup=target==='closer_cleo.py'?replay(target,hist,withShops(to,dup)):call(callFresh,target,withShops(to,dup));st.removeTests++;st.duplicateTests++;if(sig(aRm)!==sig(base)){st.removeDiff++;st.byPhase[ph].removeDiff++;if(st.examples.length<20)st.examples.push({target,seed,seat,step:s.step,day:s.day,hour:s.hour,phase:ph,kind:'REMOVE',shop:q,naturalShops:sh,changedMarket:aRm?.market??[]})}if(sig(aDup)!==sig(base)){st.duplicateDiff++;st.byPhase[ph].duplicateDiff++;if(st.examples.length<20)st.examples.push({target,seed,seat,step:s.step,day:s.day,hour:s.hour,phase:ph,kind:'DUPLICATE',shop:q,naturalShops:sh,changedMarket:aDup?.market??[]})}}}hist.push(structuredClone(to));const acts:any[]=[];acts[seat]=aNat;acts[1-seat]=aOther;s=E.interpreter.step(s,acts,cfg)}}out.targets[target]=st;}\nout.status=(out.targets['closer_cleo.py'].replayMismatch===0)?'PASS':'PARTIAL';console.log(JSON.stringify(out,null,2));",[],[697],"763adf51-0d13-497a-93fe-c5ddf888fce8","public_mix_topcontext_v2.ts","5336808a-ab86-11f1-82d6-1607ee4eb77e",147,["D",1788872883500],"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','rotation_rosa.py','homestead_hana.py','melon_mateo.py'];\nconst SEEDS=[110301,110313,110327], STEPS=new Set([72,144,288,432,576]), CASH=new Set([0,144]);\nconst E=await loadOfficialKaggricultureEngine(), rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_B0={}\\n_B1={}`);for(const n of REFS){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}py.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_base():\\n global _B0,_B1\\n _B0=_mk('broker_bea.py');_B1=_mk('broker_bea.py')\\ndef call_base(seat,p): return json.dumps((_B0 if seat==0 else _B1)['agent'](json.loads(p)))\\ndef call_fresh(n,p):\\n d=_mk(n)\\n return json.dumps(d['agent'](json.loads(p)))`);const reset=py.globals.get('reset_base'),base=py.globals.get('call_base'),fresh=py.globals.get('call_fresh');\nconst ps:any[]=[],cs:any[]=[];for(const seed of SEEDS){reset();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);if(STEPS.has(Number(s.step)))ps.push({seed,step:Number(s.step),obs:o1});if(CASH.has(Number(s.step)))cs.push({seed,step:Number(s.step),obs:o1});const a0=JSON.parse(String(base(0,JSON.stringify(o0)))),a1=JSON.parse(String(base(1,JSON.stringify(o1))));s=E.interpreter.step(s,[a0,a1],cfg)}}\nfunction mut(obs:any,k:'crop'|'animal',v:string){const o=structuredClone(obs);let n=0;for(const row of o.farms[0].tiles??[])for(const t of row??[]){if(!t)continue;if(k==='crop'&&t.kind==='PLANT'&&t.crop){t.crop=v;n++;}if(k==='animal'&&t.kind==='PASTURE'&&t.animal){t.animal=v;n++;}}return{o,n}}\nconst out:any={status:'PASS',schema:'KAG_PUBLIC_MIX_TOPCONTEXT_V2',evidence_state:'OFFLINE_BLACKBOX_CONTEXT_TRANSFER_TEST',seeds:SEEDS,refs:{}};for(const ref of REFS){let cropN=0,cropR=0,animalN=0,animalR=0,cashN=0,cashR=0;const byStep:any={};for(const p of ps){const w=mut(p.obs,'crop','WHEAT'),m=mut(p.obs,'crop','MELON'),st=mut(p.obs,'crop','STRAWBERRY');if(w.n){cropN++;const aa=[w,m,st].map(x=>JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(x.o))))));const r=new Set(aa).size>1;cropR+=r?1:0;byStep[p.step]??={cropN:0,cropR:0,animalN:0,animalR:0};byStep[p.step].cropN++;byStep[p.step].cropR+=r?1:0;}const c=mut(p.obs,'animal','COW'),sh=mut(p.obs,'animal','SHEEP');if(c.n){animalN++;const r=JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(c.o)))))!==JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(sh.o)))));animalR+=r?1:0;byStep[p.step]??={cropN:0,cropR:0,animalN:0,animalR:0};byStep[p.step].animalN++;byStep[p.step].animalR+=r?1:0;}}for(const p of cs){const a=structuredClone(p.obs),b=structuredClone(p.obs);a.farms[0].money=199;b.farms[0].money=200;cashN++;cashR+=JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(a)))))!==JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(b)))))?1:0;}out.refs[ref]={cropN,cropResponsive:cropR,animalN,animalResponsive:animalR,cashPositiveN:cashN,cash199200:cashR,byStep};}console.log(JSON.stringify(out,null,2));",[],[705],"eff70c56-31e2-4e4b-beac-12abf9216c60","public_mix_fixedprestate_v1.ts","28c4d0f4-ab86-11f1-a82a-1607ee4eb77e",146,["D",1788872812296],"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','ledger_lena.py','slotter_silas.py','closer_cleo.py','rancher_rita.py','rotation_rosa.py','homestead_hana.py','melon_mateo.py'];\nconst SEEDS=[110201,110213,110227];\nconst TARGET_STEPS=new Set([72,144,288,432,576]);\nconst CASH_PC_STEPS=new Set([0,144]);\nconst E=await loadOfficialKaggricultureEngine();\nconst rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');\nif(!rr.ok) throw new Error(`HTTP ${rr.status}`);\nconst z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();\npy.runPython(`import json\\n_SRC={}\\n_R0={}\\n_R1={}`);\nfor(const n of REFS){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}\npy.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_base():\\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 reset=py.globals.get('reset_base'), base=py.globals.get('call_base'), fresh=py.globals.get('call_fresh');\nconst prestates:any[]=[], cashStates:any[]=[];\nfor(const seed of SEEDS){reset();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);if(TARGET_STEPS.has(Number(s.step)))prestates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),obs:o1});if(CASH_PC_STEPS.has(Number(s.step)))cashStates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),obs:o1});const a0=JSON.parse(String(base(0,JSON.stringify(o0)))),a1=JSON.parse(String(base(1,JSON.stringify(o1))));s=E.interpreter.step(s,[a0,a1],cfg)}}\nfunction mutateFarm(obs:any,kind:'crop'|'animal',label:string){const o=structuredClone(obs), farm=o.farms[0];let changed=0;for(const row of farm.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;if(kind==='crop'&&t.kind==='PLANT'&&t.crop){t.crop=label;changed++;}if(kind==='animal'&&t.kind==='PASTURE'&&t.animal){t.animal=label;changed++;}}return{o,changed}}\nconst refs:any={};\nfor(const ref of REFS){const crop:any={n:0,responsive:0,wheatMelon:0,wheatStraw:0,byStep:{}}, animal:any={n:0,responsive:0,cowSheep:0,byStep:{}}, cash:any={n:0,changed199200:0,byStep:{}};\n for(const ps of prestates){const cw=mutateFarm(ps.obs,'crop','WHEAT'),cm=mutateFarm(ps.obs,'crop','MELON'),cs=mutateFarm(ps.obs,'crop','STRAWBERRY');if(cw.changed>0){const aw=JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(cw.o))))),am=JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(cm.o))))),as=JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(cs.o)))));crop.n++;const r=new Set([aw,am,as]).size>1;crop.responsive+=r?1:0;crop.wheatMelon+=aw!==am?1:0;crop.wheatStraw+=aw!==as?1:0;const k=String(ps.step);crop.byStep[k]??={n:0,responsive:0};crop.byStep[k].n++;crop.byStep[k].responsive+=r?1:0;}\n const ac=mutateFarm(ps.obs,'animal','COW'),as=mutateFarm(ps.obs,'animal','SHEEP');if(ac.changed>0){const a=JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(ac.o))))),b=JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(as.o)))));animal.n++;const r=a!==b;animal.responsive+=r?1:0;animal.cowSheep+=r?1:0;const k=String(ps.step);animal.byStep[k]??={n:0,responsive:0};animal.byStep[k].n++;animal.byStep[k].responsive+=r?1:0;}}\n for(const ps of cashStates){const a=structuredClone(ps.obs),b=structuredClone(ps.obs);a.farms[0].money=199;b.farms[0].money=200;const aa=JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(a))))),bb=JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(b)))));cash.n++;cash.changed199200+=aa!==bb?1:0;const k=String(ps.step);cash.byStep[k]??={n:0,changed:0};cash.byStep[k].n++;cash.byStep[k].changed+=aa!==bb?1:0;}\n refs[ref]={crop,animal,cashPositiveControl:cash};}\nconsole.log(JSON.stringify({status:'PASS',schema:'KAG_PUBLIC_MIX_FIXED_PRESTATE_V1',evidence_state:'OFFLINE_BLACKBOX_PUBLIC_COMPOSITION_PERCEPTION_ACTION_LEVEL',seeds:SEEDS,prestates:prestates.length,cashStates:cashStates.length,refs,guardrails:['market/town/current prestate held fixed within each label intervention','tile occupancy/count/lifecycle fields preserved; only public crop or animal label changed','extreme all-label substitution is a perception probe, not a legal gameplay policy','raw opponent action used offline only as treatment detector','cash 199->200 positive-control contexts included; weak trio serve negatives','action-level response != economic materiality; tested-context null != universal absence']},null,2));",[],[713],"2f98991c-97dc-48a0-92bc-7343d13cb212","public_cash_fixed_history_curve_v4.ts","8d0fe354-ab46-11f1-afd9-1607ee4eb77e",69,["D",1788845492760],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents', TARGETS=['closer_cleo.py','broker_bea.py','rancher_rita.py','rotation_rosa.py'], GRID=[0,199,200,1000,3000,10000,50000], SEEDS=[107651,107663];\nconst E=await loadOfficialKaggricultureEngine(),rr=await fetch(DATASET);if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}`);for(const n of [...new Set([...TARGETS,'rotation_rosa.py','rancher_rita.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\ndef reset_ref(n):\n _n={};exec(_SRC[n],_n);_REG[n]=_n['agent']\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\ndef call_fresh(n,p):\n _n={};exec(_SRC[n],_n);return json.dumps(_n['agent'](json.loads(p)),sort_keys=True)\ndef call_replay(n,hist,p):\n _n={};exec(_SRC[n],_n);a=_n['agent']\n for x in json.loads(hist):a(x)\n return json.dumps(a(json.loads(p)),sort_keys=True)\n`);const resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callFresh=py.globals.get('call_fresh'),callReplay=py.globals.get('call_replay');const call=(fn:any,n:string,o:any)=>JSON.parse(String(fn(n,JSON.stringify(o)))),replay=(n:string,h:any[],o:any)=>JSON.parse(String(callReplay(n,JSON.stringify(h),JSON.stringify(o)))),sig=(a:any)=>JSON.stringify(a),phase=(d:number)=>d<6?'EARLY':d<18?'MID':d<27?'LATE':'CLOSING';\nfunction setOurCash(o:any,c:number){const x=structuredClone(o),oi=1-Number(x.player);x.farms[oi].money=c;return x}function mlen(a:any){return Array.isArray(a?.market)?a.market.length:0}function digest(s:any,seat:number){const o=observationFor(s,seat);return JSON.stringify({farms:o.farms?.map((f:any)=>({money:f.money,land:f.unlocked_quadrants?.length})),market:o.market,town:o.town,day:o.day,hour:o.hour})}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_HISTORY_PUBLIC_CASH_CURVE_V4',grid:GRID,seeds:SEEDS,targets:{},broker199200PositiveControl:{tested:0,diff:0},guardrails:['only our public cash perception changed','exact prior legal history replay for Cleo','raw action used offline as treatment detector only','market-active context selection','not champion proof']};\nfor(const target of TARGETS){const other=target==='rotation_rosa.py'?'rancher_rita.py':'rotation_rosa.py',st:any={contexts:0,replayMismatch:0,responsive:0,adjacentDiffs:{},publicEffectPairs:0,byPhase:{},examples:[]};for(let i=0;i=2){used[ph]++;st.contexts++;st.byPhase[ph]=(st.byPhase[ph]??0)+1;const base=target==='closer_cleo.py'?replay(target,hist,to):call(callFresh,target,to);if(sig(base)!==sig(aNat))st.replayMismatch++;const aa=GRID.map(c=>target==='closer_cleo.py'?replay(target,hist,setOurCash(to,c)):call(callFresh,target,setOurCash(to,c)));let any=false;for(let i=0;i200 at step0 and step144.\nfor(const seed of SEEDS)for(const seat of [0,1] as const){resetRef('broker_bea.py');resetRef('rotation_rosa.py');const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const bo=observationFor(s,seat),ro=observationFor(s,1-seat),ba=call(callRef,'broker_bea.py',bo),ra=call(callRef,'rotation_rosa.py',ro);if(Number(s.step)===0||Number(s.step)===144){out.broker199200PositiveControl.tested++;const a=call(callFresh,'broker_bea.py',setOurCash(bo,199)),b=call(callFresh,'broker_bea.py',setOurCash(bo,200));if(sig(a)!==sig(b))out.broker199200PositiveControl.diff++;}const acts:any[]=[];acts[seat]=ba;acts[1-seat]=ra;s=E.interpreter.step(s,acts,cfg)}}\nout.status=(out.targets['closer_cleo.py'].replayMismatch===0&&out.broker199200PositiveControl.diff>0)?'PASS':'PARTIAL';console.log(JSON.stringify(out,null,2));",[],[721],"d6bd9152-fd15-4258-a73d-83daa02788f5","probe_ref_catalog.ts","01a07f0e-0e12-755c-8cf3-4908d34edf76",["D",1788838022689],"import { unzipSync } from 'npm:fflate';\nconst url='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst r=await fetch(url);\nif(!r.ok) throw new Error(`HTTP ${r.status}`);\nconst z=unzipSync(new Uint8Array(await r.arrayBuffer()));\nconst names=Object.keys(z).filter(x=>x.endsWith('.py')).sort();\nconsole.log(JSON.stringify({status:'PASS',count:names.length,names},null,2));",[],[729],"f8d889b9-9fea-4759-ad26-b711591708df","own_cash_order_slot_curve_v9.ts","e033e42e-ab49-11f1-a96c-1607ee4eb77e",77,["D",1788846920678],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst TARGETS=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py']; const STEPS=[216,288,432,576]; const SEED=107911; const MULT=[0.25,0.5,1,2,4];\nconst E=await loadOfficialKaggricultureEngine(); const rr=await fetch(DATASET); if(!rr.ok)throw new Error(`HTTP ${rr.status}`); const z=unzipSync(new Uint8Array(await rr.arrayBuffer())); const py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}`);for(const n of [...new Set([...TARGETS,'rotation_rosa.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\\ndef reset_ref(n):\\n _n={};exec(_SRC[n],_n);_REG[n]=_n['agent']\\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\\ndef call_fresh(n,p):\\n _n={};exec(_SRC[n],_n);return json.dumps(_n['agent'](json.loads(p)),sort_keys=True)\\n`);const resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callFresh=py.globals.get('call_fresh');const call=(n:string,o:any)=>JSON.parse(String(callRef(n,JSON.stringify(o)))),fresh=(n:string,o:any)=>JSON.parse(String(callFresh(n,JSON.stringify(o)))),sig=(a:any)=>JSON.stringify(a);\nfunction setOwnCash(o:any,c:number){const x=structuredClone(o),p=Number(x.player);x.farms[p].money=Math.max(0,Math.round(c));return x}function cats(a:any){return (a?.market??[]).map((x:any)=>Array.isArray(x)?String(x[0]):'UNKNOWN')}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_PRESTATE_OWN_CASH_ORDER_SLOT_CURVE_V9',seed:SEED,steps:STEPS,multipliers:MULT,targets:{},guardrails:['identical legal prestate except target own public cash','raw opponent market queue used offline mechanism attribution only','fresh action function per arm','not deployable raw-action feature','not champion proof']};\nfor(const target of TARGETS){const st:any={prestates:0,curves:0,actionChanged:0,slotChanged:0,byStep:{},examples:[]};for(const step of STEPS)st.byStep[String(step)]={tested:0,changed:0,slotChanged:0};for(const seat of [0,1] as const){resetRef(target);resetRef('rotation_rosa.py');const cfg=E.state.resolveConfig({seed:SEED});let s=E.state.initGameState(2,cfg,SEED),hist:any[]=[];while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),a=call(target,to),b=call('rotation_rosa.py',oo);hist.push(structuredClone(to));const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}for(const step of STEPS){if(step>=hist.length)continue;st.prestates++;const o=hist[step],p=Number(o.player),baseCash=Number(o.farms[p].money),arms=MULT.map(m=>({m,cash:Math.max(0,Math.round(baseCash*m)),a:fresh(target,setOwnCash(o,baseCash*m))}));st.curves++;st.byStep[String(step)].tested++;const unique=new Set(arms.map(x=>sig(x.a))).size,slotUnique=new Set(arms.map(x=>JSON.stringify(cats(x.a)))).size;if(unique>1){st.actionChanged++;st.byStep[String(step)].changed++;}if(slotUnique>1){st.slotChanged++;st.byStep[String(step)].slotChanged++;}if((unique>1||slotUnique>1)&&st.examples.length<20)st.examples.push({target,seat,step,day:o.day,hour:o.hour,baseCash,arms:arms.map(x=>({m:x.m,cash:x.cash,market:x.a?.market??[],cats:cats(x.a)}))});}}out.targets[target]=st;}\nout.status=Object.values(out.targets).some((x:any)=>x.actionChanged>0)?'PASS':'PARTIAL';console.log(JSON.stringify(out,null,2));",[],[736],"3f02069b-498f-4a83-9460-2d969dd3f4b1","own_cash_absolute_funding_curve_v10.ts","f69a74c6-ab49-11f1-9964-1607ee4eb77e",79,["D",1788847018129],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst TARGETS=['broker_bea.py','closer_cleo.py']; const STEPS=[288,576]; const SEED=107931; const CASH=[0,50,200,500,1000,5000];\nconst E=await loadOfficialKaggricultureEngine(); const rr=await fetch(DATASET); if(!rr.ok)throw new Error(`HTTP ${rr.status}`); const z=unzipSync(new Uint8Array(await rr.arrayBuffer())); const py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}`);for(const n of [...new Set([...TARGETS,'rotation_rosa.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\\ndef reset_ref(n):\\n _n={};exec(_SRC[n],_n);_REG[n]=_n['agent']\\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\\ndef call_fresh(n,p):\\n _n={};exec(_SRC[n],_n);return json.dumps(_n['agent'](json.loads(p)),sort_keys=True)\\n`);const resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callFresh=py.globals.get('call_fresh');const call=(n:string,o:any)=>JSON.parse(String(callRef(n,JSON.stringify(o)))),fresh=(n:string,o:any)=>JSON.parse(String(callFresh(n,JSON.stringify(o)))),sig=(a:any)=>JSON.stringify(a);\nfunction setOwnCash(o:any,c:number){const x=structuredClone(o),p=Number(x.player);x.farms[p].money=c;return x}function cats(a:any){return (a?.market??[]).map((x:any)=>Array.isArray(x)?String(x[0]):'UNKNOWN')}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_PRESTATE_ABSOLUTE_OWN_CASH_FUNDING_CURVE_V10',seed:SEED,steps:STEPS,cashGrid:CASH,targets:{},guardrails:['identical legal prestate except target own public cash','absolute grid reaches binding low-cash regimes','raw opponent market queue offline only','not deployable raw-action feature','not champion proof']};\nfor(const target of TARGETS){const st:any={prestates:0,changedCurves:0,slotChangedCurves:0,firstChangeCash:[],byStep:{},examples:[]};for(const step of STEPS)st.byStep[String(step)]={tested:0,changed:0,slotChanged:0};for(const seat of [0,1] as const){resetRef(target);resetRef('rotation_rosa.py');const cfg=E.state.resolveConfig({seed:SEED});let s=E.state.initGameState(2,cfg,SEED),hist:any[]=[];while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),a=call(target,to),b=call('rotation_rosa.py',oo);hist.push(structuredClone(to));const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}for(const step of STEPS){if(step>=hist.length)continue;st.prestates++;st.byStep[String(step)].tested++;const o=hist[step],p=Number(o.player),baseCash=Number(o.farms[p].money),arms=CASH.map(c=>({cash:c,a:fresh(target,setOwnCash(o,c))}));const unique=new Set(arms.map(x=>sig(x.a))).size,slotUnique=new Set(arms.map(x=>JSON.stringify(cats(x.a)))).size;if(unique>1){st.changedCurves++;st.byStep[String(step)].changed++;}if(slotUnique>1){st.slotChangedCurves++;st.byStep[String(step)].slotChanged++;}let first:null|number=null;const base=sig(arms[arms.length-1].a);for(const x of arms){if(sig(x.a)===base){first=x.cash;break}}st.firstChangeCash.push({seat,step,day:o.day,hour:o.hour,naturalCash:baseCash,stableFromCash:first});if((unique>1||slotUnique>1)&&st.examples.length<20)st.examples.push({target,seat,step,day:o.day,hour:o.hour,naturalCash:baseCash,arms:arms.map(x=>({cash:x.cash,market:x.a?.market??[],cats:cats(x.a)}))});}}out.targets[target]=st;}\nout.status=Object.values(out.targets).some((x:any)=>x.changedCurves>0)?'PASS':'PARTIAL';console.log(JSON.stringify(out,null,2));",[],[744],"5494a415-0189-435b-ac6f-38a959f381cf","official_feed_semantics_probe_v1.ts","c168de1e-ab80-11f1-a334-1607ee4eb77e",124,["D",1788870491256],"const root='https://raw.githubusercontent.com/Kaggle/kaggle-environments/master/kaggle_environments/envs/kaggriculture/visualizer/playable/src/engine/';\nconst files=['interpreter.ts','state.ts','constants.ts','types.ts'];\nconst terms=['consecutive_unfed','FEED','feed','pending_care_bonus','yield_units'];\nconst out:any={status:'PASS',evidenceState:'OFFICIAL_ENGINE_SOURCE_SEMANTICS',hits:{}};\nfor(const f of files){const r=await fetch(root+f);if(!r.ok)throw new Error(`${f} HTTP ${r.status}`);const lines=(await r.text()).split('\\n');const hs:any[]=[];for(let i=0;ilines[i].includes(t))){const a=Math.max(0,i-4),b=Math.min(lines.length,i+5);hs.push({line:i+1,context:lines.slice(a,b).map((x,j)=>`${a+j+1}|${x}`)});}out.hits[f]=hs;}\nconsole.log(JSON.stringify(out,null,2));",[],[752],"0d1cb33b-b240-479f-b869-3c0a19a5745f","official_decision_count_probe_v1.ts","01a07f0e-0e12-755c-8cf3-46daf3b8fa87",["D",1788838022689],"import { loadOfficialKaggricultureEngine } from './lib/kaggriculture_engine_loader.ts';\nconst E=await loadOfficialKaggricultureEngine();const seed=1,cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);let count=0,first:any=null,last:any=null;while(!s.done){const 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));",[],[760],"f8ce36e2-9428-4d64-a7f3-6e3c9ed5d5bf","mix11_wheat_feed_capability_census_v1.ts","9bd7e906-ab80-11f1-b732-1607ee4eb77e",123,["D",1788870428307],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\n\nconst seeds=[109401,109413,109427,109439];\nconst targets=['broker_bea.py','rancher_rita.py'];\nconst windows=[[9,15],[18,27]] as const;\n\nfunction animalStats(life:any){\n let count=0,unfedStress=0,yieldSum=0,pendingCare=0;\n for(const x of Object.values(life?.animals??{}) as any[]){\n count+=Number(x?.count??0);unfedStress+=Number(x?.unfedStress??0);yieldSum+=Number(x?.yieldSum??0);pendingCare+=Number(x?.pendingCare??0);\n }\n return {count,unfedStress,yieldSum,pendingCare};\n}\nfunction marketBuyWheat(x:any){\n return Number(x?.ourRequestedAction?.productBuys?.WHEAT??0);\n}\nfunction inWindow(day:number,a:number,b:number){return day>=a&&dayinWindow(x.day,a,b));\n const withAnimals=rows.filter(x=>x.animals>0);\n const low=withAnimals.filter(x=>x.wheat<=2);\n const zero=withAnimals.filter(x=>x.wheat<=0);\n const stressed=withAnimals.filter(x=>x.unfedStress>0);\n const missed=stressed.filter(x=>x.buyWheat<=0);\n win[`D${a}-D${b}`]={\n rows:rows.length,animalRows:withAnimals.length,\n minWheat:withAnimals.length?Math.min(...withAnimals.map(x=>x.wheat)):null,\n meanWheat:withAnimals.length?withAnimals.reduce((s,x)=>s+x.wheat,0)/withAnimals.length:null,\n wheatLE2Rows:low.length,wheatZeroRows:zero.length,\n unfedStressRows:stressed.length,unfedStressSum:stressed.reduce((s,x)=>s+x.unfedStress,0),\n requestedWheatBuyRows:withAnimals.filter(x=>x.buyWheat>0).length,requestedWheatBuyQty:withAnimals.reduce((s,x)=>s+x.buyWheat,0),\n stressedWithoutWheatBuyRows:missed.length\n };\n }\n gOut.push({seed:g.seed,ourSeat:g.ourSeat,winner:g.winner,margin:g.margin,windows:win});\n }\n const agg:any={};\n for(const [a,b] of windows){\n const k=`D${a}-D${b}`, rows=gOut.map(g=>g.windows[k]);\n agg[k]={\n games:rows.length,\n minWheatAcrossGames:Math.min(...rows.map(x=>x.minWheat??Infinity)),\n wheatZeroRows:rows.reduce((s,x)=>s+x.wheatZeroRows,0),\n wheatLE2Rows:rows.reduce((s,x)=>s+x.wheatLE2Rows,0),\n unfedStressRows:rows.reduce((s,x)=>s+x.unfedStressRows,0),\n unfedStressSum:rows.reduce((s,x)=>s+x.unfedStressSum,0),\n requestedWheatBuyRows:rows.reduce((s,x)=>s+x.requestedWheatBuyRows,0),\n requestedWheatBuyQty:rows.reduce((s,x)=>s+x.requestedWheatBuyQty,0),\n stressedWithoutWheatBuyRows:rows.reduce((s,x)=>s+x.stressedWithoutWheatBuyRows,0)\n };\n if(!Number.isFinite(agg[k].minWheatAcrossGames))agg[k].minWheatAcrossGames=null;\n }\n out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin},aggregate:agg,games:gOut};\n}\nconsole.log(JSON.stringify(out,null,2));",[],[767],"439acd53-89c6-4784-956a-9bf3f1865c72","mix11_task_service_throughput_census_v1.ts","b4073c14-ab82-11f1-ad6a-1607ee4eb77e",136,["D",1788871327930],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[109701,109713,109727,109739];\nconst targets=['broker_bea.py','rancher_rita.py'];\nconst windows=[[9,15],[18,27]] as const;\nfunction cropStats(l:any){let count=0,yieldSum=0,yieldPositive=0,waterStress=0;for(const x of Object.values(l?.crops??{}) as any[]){count+=Number(x?.count??0);yieldSum+=Number(x?.yieldSum??0);yieldPositive+=Number(x?.yieldPositive??0);waterStress+=Number(x?.waterStress??0)}return{count,yieldSum,yieldPositive,waterStress}}\nfunction animalStats(l:any){let count=0,yieldSum=0,unfed=0,pendingCare=0;for(const [k,x] of Object.entries(l?.animals??{}) as any[]){if(k==='UNKNOWN')continue;count+=Number(x?.count??0);yieldSum+=Number(x?.yieldSum??0);unfed+=Number(x?.unfedStress??0);pendingCare+=Number(x?.pendingCare??0)}return{count,yieldSum,unfed,pendingCare}}\nfunction summarize(g:any,a:number,b:number){const rows=(g.scenarioTrace??[]).filter((x:any)=>Number(x.day)>=a&&Number(x.day)0)harvestBacklogHours++;harvestYieldArea+=c.yieldSum;if(c.waterStress>0)waterStressHours++;waterStressArea+=c.waterStress;if(an.unfed>0)unfedHours++;unfedArea+=an.unfed;if(an.pendingCare>0)careBacklogHours++;careArea+=an.pendingCare;if(x?.ourRequestedAction?.farmer==='PICKUP')pickupFarmer++;sellQty+=Number(x?.ourRequestedAction?.sellQty??0);sellOps+=Number(x?.ourRequestedAction?.sellOps??0);shedArea+=Number(x?.ownPrivate?.shedQty??0);if(Number(x?.ownPrivate?.shedUtilization??0)>=0.8)shedHigh++;}const h0=rows.filter((x:any)=>Number(x.hour)===0);return{rows:rows.length,harvestBacklogHours,harvestYieldArea,waterStressHours,waterStressArea,unfedHours,unfedArea,careBacklogHours,careArea,pickupFarmer,sellQty,sellOps,meanShed:rows.length?shedArea/rows.length:null,shedHighRows:shedHigh,h0Unfed: h0.reduce((s:number,x:any)=>s+animalStats(x?.publicTileLifecycle?.me).unfed,0),h0Care:h0.reduce((s:number,x:any)=>s+animalStats(x?.publicTileLifecycle?.me).pendingCare,0)};}\nconst out:any={status:'PASS',schema:'KAG_MIX11_TASK_SERVICE_THROUGHPUT_CENSUS_V1',core:AUTOLAB_CORE_VERSION,evidenceState:'OWN_PRIVATE_PLUS_OWN_ACTION_NATURAL_CAPABILITY_CENSUS_NOT_CAUSAL',seeds,targets:{}};\nfor(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const games=r.games.map((g:any)=>({seed:g.seed,seat:g.ourSeat,winner:g.winner,margin:g.margin,D9_15:summarize(g,9,15),D18_27:summarize(g,18,27)}));const agg:any={};for(const [a,b] of windows){const k=a===9?'D9_15':'D18_27',xs=games.map((g:any)=>g[k]);const sums:any={};for(const key of ['harvestBacklogHours','harvestYieldArea','waterStressHours','waterStressArea','unfedHours','unfedArea','careBacklogHours','careArea','pickupFarmer','sellQty','sellOps','shedHighRows','h0Unfed','h0Care'])sums[key]=xs.reduce((s:any,x:any)=>s+Number(x[key]??0),0);sums.meanShed=xs.reduce((s:any,x:any)=>s+Number(x.meanShed??0),0)/xs.length;agg[k]=sums;}out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},aggregate:agg,games};}\nconsole.log(JSON.stringify(out,null,2));",[],[775],"32b3752e-b2fb-4ea7-b759-fadb851162c6","mix11_route_persist_feed_causal_v1.ts","916102ea-ab81-11f1-8e9a-1607ee4eb77e",134,["D",1788870840311],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[109501,109513,109527,109539];\nconst variants=['MIX11','MIX11_ROUTE_PERSIST'];\nconst windows=[[9,15],[18,27]] as const;\nfunction animalStats(life:any){let count=0,stress=0;for(const x of Object.values(life?.animals??{}) as any[]){count+=Number(x?.count??0);stress+=Number(x?.unfedStress??0)}return{count,stress}}\nfunction summarize(g:any,a:number,b:number){const rows=(g.scenarioTrace??[]).filter((x:any)=>Number(x.day)>=a&&Number(x.day){const z=animalStats(x?.publicTileLifecycle?.me);return{day:Number(x.day),hour:Number(x.hour),animals:z.count,stress:z.stress,wheat:Number(x?.ownPrivate?.items?.WHEAT??0),buy:Number(x?.ourRequestedAction?.productBuys?.WHEAT??0)}});const h0=rr.filter(x=>x.hour===0),animalH0=h0.map(x=>x.animals);let drops=0;for(let i=1;ix.wheat)):null,wheatLE2:rr.filter(x=>x.wheat<=2).length,stressRows:rr.filter(x=>x.stress>0).length,stressSum:rr.reduce((s,x)=>s+x.stress,0),stressH0Rows:h0.filter(x=>x.stress>0).length,stressH0Sum:h0.reduce((s,x)=>s+x.stress,0),wheatBuyRows:rr.filter(x=>x.buy>0).length,wheatBuyQty:rr.reduce((s,x)=>s+x.buy,0),animalH0Drops:drops};}\nconst out:any={status:'PASS',schema:'KAG_ROUTE_PERSIST_FEED_CAUSAL_V1',core:AUTOLAB_CORE_VERSION,evidenceState:'PAIRED_FRESH_SINGLE_FACTOR_OUR_POLICY_CAUSAL_NOT_CHAMPION_PROOF',seeds,arms:{},paired:[]};\nfor(const v of variants){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:v,ref:'broker_bea.py',seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE'});const games=r.games.map((g:any)=>({seed:g.seed,seat:g.ourSeat,winner:g.winner,margin:g.margin,treatment:g.routePersistTreatment,D9_15:summarize(g,9,15),D18_27:summarize(g,18,27)}));const agg:any={};for(const [a,b] of windows){const k=a===9?'D9_15':'D18_27',xs=games.map((g:any)=>g[k]);agg[k]={stressRows:xs.reduce((s:any,x:any)=>s+x.stressRows,0),stressSum:xs.reduce((s:any,x:any)=>s+x.stressSum,0),stressH0Rows:xs.reduce((s:any,x:any)=>s+x.stressH0Rows,0),stressH0Sum:xs.reduce((s:any,x:any)=>s+x.stressH0Sum,0),animalH0Drops:xs.reduce((s:any,x:any)=>s+x.animalH0Drops,0),minWheat:Math.min(...xs.map((x:any)=>x.minWheat)),wheatLE2:xs.reduce((s:any,x:any)=>s+x.wheatLE2,0),wheatBuyQty:xs.reduce((s:any,x:any)=>s+x.wheatBuyQty,0)};}out.arms[v]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},treatmentFlags:[...new Set(games.map((g:any)=>g.treatment))],aggregate:agg,games};}\nconst base=out.arms.MIX11.games,tx=out.arms.MIX11_ROUTE_PERSIST.games;for(const b of base){const t=tx.find((x:any)=>x.seed===b.seed&&x.seat===b.seat);out.paired.push({seed:b.seed,seat:b.seat,marginDelta:t.margin-b.margin,D9_15_stressH0Delta:t.D9_15.stressH0Sum-b.D9_15.stressH0Sum,D18_27_stressH0Delta:t.D18_27.stressH0Sum-b.D18_27.stressH0Sum});}\nout.pairedSummary={marginDeltaMean:out.paired.reduce((s:number,x:any)=>s+x.marginDelta,0)/out.paired.length,marginPositive:out.paired.filter((x:any)=>x.marginDelta>0).length,D9_15_stressH0Delta:out.paired.reduce((s:number,x:any)=>s+x.D9_15_stressH0Delta,0),D18_27_stressH0Delta:out.paired.reduce((s:number,x:any)=>s+x.D18_27_stressH0Delta,0)};\nconsole.log(JSON.stringify(out,null,2));",[],[783],"d8eabccc-52b6-4cc0-a31d-bf360369c518","mix11_funding_opportunity_audit_v14.ts","45be16ba-ab4b-11f1-9bce-1607ee4eb77e",92,["D",1788847547511],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst REFS=['broker_bea.py','closer_cleo.py']; const SEEDS=[108201,108213];\nconst isSpend=(op:string)=>op==='HIRE'||op.startsWith('BUY');\nconst out:any={status:'PASS',evidenceState:'OWN_ACTION_MEMORY_FUNDING_OPPORTUNITY_AUDIT_V14',seeds:SEEDS,refs:{},guardrails:['uses only our own requested action order plus legal/public/own-private scenario telemetry','opponent raw action not used','opportunity audit only','not policy mutation','not champion proof']};\nfor(const ref of REFS){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds:SEEDS,legalTelemetry:'NONE',oracleActionTelemetry:'NONE',scenarioTelemetry:'FULL'});const st:any={games:r.games.length,wins:r.wins,losses:r.losses,mixedSellSpend:0,mixedLowCash500:0,mixedLowCash1000:0,mixedLowCash2000:0,mixedLowCash5000:0,sellFirst:0,spendFirst:0,saturatedMixed:0,byPhase:{EARLY:0,MID:0,LATE:0,CLOSING:0},examples:[]};for(const g of r.games)for(const x of g.scenarioTrace??[]){const o=x.ourRequestedMarketOrder??[],hasSell=o.some((q:any)=>q.op==='SELL'),hasSpend=o.some((q:any)=>isSpend(q.op));if(!(hasSell&&hasSpend))continue;st.mixedSellSpend++;const cash=Number(x.me?.cash??0);if(cash<500)st.mixedLowCash500++;if(cash<1000)st.mixedLowCash1000++;if(cash<2000)st.mixedLowCash2000++;if(cash<5000)st.mixedLowCash5000++;const si=o.findIndex((q:any)=>q.op==='SELL'),pi=o.findIndex((q:any)=>isSpend(q.op));if(si>=0&&pi>=0&&si=0&&pi>=0)st.spendFirst++;if(x.marketOrderBudget?.saturated)st.saturatedMixed++;const ph=String(x.horizon?.phase??'MID');st.byPhase[ph]=(st.byPhase[ph]??0)+1;if(st.examples.length<12&&(cash<2000||st.examples.length<4))st.examples.push({seed:g.seed,seat:g.ourSeat,step:x.step,day:x.day,hour:x.hour,cash,phase:ph,order:o.map((q:any)=>q.op),ops:x.ourRequestedAction,marketOrderBudget:x.marketOrderBudget});}out.refs[ref]=st;}\nconst compact:any={status:out.status,evidenceState:out.evidenceState,seeds:out.seeds,refs:{},guardrails:out.guardrails};for(const [k,v] of Object.entries(out.refs) as any)compact.refs[k]={games:v.games,wins:v.wins,losses:v.losses,mixedSellSpend:v.mixedSellSpend,mixedLowCash500:v.mixedLowCash500,mixedLowCash1000:v.mixedLowCash1000,mixedLowCash2000:v.mixedLowCash2000,mixedLowCash5000:v.mixedLowCash5000,sellFirst:v.sellFirst,spendFirst:v.spendFirst,saturatedMixed:v.saturatedMixed,byPhase:v.byPhase};console.log(JSON.stringify(compact,null,2));",[],[791],"a3c9995c-72bb-4297-9002-8a818674a027","mix11_broker_teacher_smoke_v1.ts","ecebfbe6-ab37-11f1-aab0-1607ee4eb77e",28,["D",1788839211149],"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:[106001],scenarioTelemetry:'FULL',teacherCashActivation:'BROKER_199_200',teacherCashEvery:6});\nconst rows=r.games.map((g:any)=>({seed:g.seed,ourSeat:g.ourSeat,margin:g.margin,scenarioRows:g.scenarioTrace?.length,teacherRows:g.teacherActivationTrace?.length,active:(g.teacherActivationTrace??[]).filter((x:any)=>x.active).length,baselineMismatch:(g.teacherActivationTrace??[]).filter((x:any)=>!x.baselineMatch).length,evidence:g.teacherActivationEvidenceState}));\nconst pass=rows.every((x:any)=>x.scenarioRows===719&&x.teacherRows===120&&x.baselineMismatch===0);\nconsole.log(JSON.stringify({status:pass?'PASS':'FAIL',core:AUTOLAB_CORE_VERSION,rows},null,2));\nif(!pass)throw new Error('teacher smoke failed');",[],[799],"75265387-066e-41cc-8318-79d312c1adb3","mix11_broker_natural_cash_support_v1.ts","2ca018b6-ab3e-11f1-a62c-1607ee4eb77e",45,["D",1788841894986],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[106131,106147,106159,106171,106183,106199];const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds,scenarioTelemetry:'FULL'});const games:any[]=[];let rows=0,le200=0,le500=0,le1000=0,near=0,min=Infinity,max=-Infinity;for(const g of r.games){let gm=Infinity,gmax=-Infinity,g200=0,g500=0,g1000=0,gn=0;for(const x of g.scenarioTrace??[]){const c=Number(x.me?.cash??0);rows++;gm=Math.min(gm,c);gmax=Math.max(gmax,c);min=Math.min(min,c);max=Math.max(max,c);if(c<=200){g200++;le200++}if(c<=500){g500++;le500++}if(c<=1000){g1000++;le1000++}if(c>=150&&c<=250){gn++;near++}}games.push({seed:g.seed,ourSeat:g.ourSeat,margin:g.margin,winner:g.winner,minCash:gm,maxCash:gmax,rowsLE200:g200,rowsLE500:g500,rowsLE1000:g1000,rows150to250:gn})}console.log(JSON.stringify({status:'PASS',evidenceState:'MIX11_BROKER_NATURAL_CASH_SUPPORT_FRESH',core:AUTOLAB_CORE_VERSION,seeds,games:r.games.length,decisionRows:rows,aggregate:{minCash:min,maxCash:max,rowsLE200:le200,rowsLE500:le500,rowsLE1000:le1000,rows150to250:near,shareLE200:le200/rows,shareLE500:le500/rows,shareLE1000:le1000/rows},games},null,2));",[],[807],"e9c64e8f-edfa-4001-9e11-703970f8214e","mix11_broker_gap_action_audit_v1.ts","650b86c2-ab3e-11f1-8a7a-1607ee4eb77e",49,["D",1788842021909],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[106211,106223,106237,106249];const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'FULL'});const bounds=[0,3,6,9,12,15,18,21,24,27,30];\nfunction mergeMap(dst:any,src:any){for(const [k,v] of Object.entries(src??{}))dst[k]=(dst[k]??0)+Number(v)}function acc(dst:any,s:any){dst.marketOps=(dst.marketOps??0)+Number(s?.marketOps??0);dst.sellOps=(dst.sellOps??0)+Number(s?.sellOps??0);dst.sellQty=(dst.sellQty??0)+Number(s?.sellQty??0);dst.buyOps=(dst.buyOps??0)+Number(s?.buyOps??0);dst.buyQty=(dst.buyQty??0)+Number(s?.buyQty??0);dst.hires=(dst.hires??0)+Number(s?.hires??0);dst.landBuys=(dst.landBuys??0)+Number(s?.landBuys??0);for(const f of ['sellByItem','buyByItem','opCounts','animalBuys','seedBuys','productBuys']){dst[f]=dst[f]??{};mergeMap(dst[f],s?.[f])}return dst}function divObj(o:any,n:number){const z:any={};for(const [k,v] of Object.entries(o??{}))z[k]=Number(v)/n;return z}\nconst out:any[]=[];for(let wi=0;wiNumber(x.day)===a&&Number(x.hour)===0);const end=b===30?null:(g.scenarioTrace??[]).find((x:any)=>Number(x.day)===b&&Number(x.hour)===0);const gap0=Number(start?.me?.cash??0)-Number(start?.opp?.cash??0),gap1=b===30?Number(g.ourBank)-Number(g.refBank):Number(end?.me?.cash??0)-Number(end?.opp?.cash??0);const ours:any={},ref:any={};for(const d of g.dailyActions??[])if(Number(d.day)>=a&&Number(d.day)=a&&Number(x.day)0)dup++}per.push({gap0,gap1,gapChange:gap1-gap0,ours,ref,maxShed,saturated,duplicateRows:dup})}const n=per.length,ours:any={},ref:any={};for(const p of per){acc(ours,p.ours);acc(ref,p.ref)}const avgAct=(x:any)=>({marketOps:x.marketOps/n,sellOps:x.sellOps/n,sellQty:x.sellQty/n,buyOps:x.buyOps/n,buyQty:x.buyQty/n,hires:x.hires/n,landBuys:x.landBuys/n,sellByItem:divObj(x.sellByItem,n),buyByItem:divObj(x.buyByItem,n),animalBuys:divObj(x.animalBuys,n),seedBuys:divObj(x.seedBuys,n),productBuys:divObj(x.productBuys,n),opCounts:divObj(x.opCounts,n)});out.push({window:`D${a}-D${b}`,gapStartMean:per.reduce((s,x)=>s+x.gap0,0)/n,gapEndMean:per.reduce((s,x)=>s+x.gap1,0)/n,gapChangeMean:per.reduce((s,x)=>s+x.gapChange,0)/n,gapChangeMin:Math.min(...per.map(x=>x.gapChange)),gapChangeMax:Math.max(...per.map(x=>x.gapChange)),ours:avgAct(ours),broker:avgAct(ref),maxShed:Math.max(...per.map(x=>x.maxShed)),orderSaturationRows:per.reduce((s,x)=>s+x.saturated,0),duplicateShopRows:per.reduce((s,x)=>s+x.duplicateRows,0)})}\nconst ranked=[...out].sort((x,y)=>x.gapChangeMean-y.gapChangeMean);const compact=out.map(x=>({window:x.window,gapStart:x.gapStartMean,gapEnd:x.gapEndMean,gapChange:x.gapChangeMean,ours:{marketOps:x.ours.marketOps,hires:x.ours.hires,landBuys:x.ours.landBuys,buyQty:x.ours.buyQty,sellQty:x.ours.sellQty,productWheat:x.ours.productBuys?.WHEAT??0,animalCow:x.ours.animalBuys?.COW??0,animalSheep:x.ours.animalBuys?.SHEEP??0,sellWheat:x.ours.sellByItem?.WHEAT??0,sellMelon:x.ours.sellByItem?.MELON??0,sellStrawberry:x.ours.sellByItem?.STRAWBERRY??0,sellMilk:x.ours.sellByItem?.MILK??0,sellWool:x.ours.sellByItem?.WOOL??0,sellFert:x.ours.sellByItem?.FERTILIZER??0},broker:{marketOps:x.broker.marketOps,hires:x.broker.hires,landBuys:x.broker.landBuys,buyQty:x.broker.buyQty,sellQty:x.broker.sellQty,productWheat:x.broker.productBuys?.WHEAT??0,animalCow:x.broker.animalBuys?.COW??0,animalSheep:x.broker.animalBuys?.SHEEP??0,sellWheat:x.broker.sellByItem?.WHEAT??0,sellMelon:x.broker.sellByItem?.MELON??0,sellStrawberry:x.broker.sellByItem?.STRAWBERRY??0,sellMilk:x.broker.sellByItem?.MILK??0,sellWool:x.broker.sellByItem?.WOOL??0,sellFert:x.broker.sellByItem?.FERTILIZER??0},maxShed:x.maxShed,orderSaturationRows:x.orderSaturationRows,duplicateShopRows:x.duplicateShopRows}));console.log(JSON.stringify({status:'PASS',evidenceState:'MIX11_BROKER_OFFLINE_ACTION_GAP_WINDOW_AUDIT_COMPACT',core:AUTOLAB_CORE_VERSION,seeds,games:r.games.length,wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin},worstGapWindows:ranked.slice(0,5).map(x=>({window:x.window,gapChangeMean:x.gapChangeMean})),windows:compact,guardrail:'Broker raw actions are offline oracle evidence only; use to generate hypotheses, never as deployable feature.'},null,2));",[],[815],"70e4eef6-07dc-4751-a808-6f5c9d9424b3","mix11_broker_activation_train_export_v1.ts","35a95ece-ab3c-11f1-860f-1607ee4eb77e",36,["D",1788841393958],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[106001,106013,106027,106039];\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds,scenarioTelemetry:'FULL',teacherCashActivation:'BROKER_199_200',teacherCashEvery:6});\ntype Row={seed:number,y:number,x:number[]};const rows:Row[]=[];let baselineMismatch=0;const lg=(x:any)=>Math.log1p(Math.max(0,Number(x)||0));\nfor(const g of r.games){const byStep=new Map((g.scenarioTrace??[]).map((x:any)=>[Number(x.step),x]));for(const t of g.teacherActivationTrace??[]){if(!t.baselineMatch)baselineMismatch++;const s=byStep.get(Number(t.step));if(!s)continue;const me=s.me??{},opp=s.opp??{},m=s.market??{},tk=s.publicTileKinds??{},town=s.townScenario??{},priv=s.ownPrivate??{},phase=String(s.horizon?.phase??'');const x=[Number(s.day)/29,Number(s.hour)/23,phase==='EARLY'?1:0,phase==='MID'?1:0,phase==='LATE'?1:0,phase==='CLOSING'?1:0,lg(me.cash)/12,lg(opp.cash)/12,Number(me.land??0)/4,Number(opp.land??0)/4,Number(me.crops??0)/100,Number(opp.crops??0)/100,Number(me.pastures??0)/100,Number(opp.pastures??0)/100,Number(me.animals??0)/100,Number(opp.animals??0)/100,Number(me.hands??0)/20,Number(opp.hands??0)/20,Number(me.cropMix?.WHEAT??0)/100,Number(me.cropMix?.MELON??0)/100,Number(opp.cropMix?.WHEAT??0)/100,Number(opp.cropMix?.MELON??0)/100,Number(m.prices?.WHEAT??0)/100,Number(m.inventory?.WHEAT??0)/11000,Number(m.prices?.FERTILIZER??0)/150,Number(m.inventory?.FERTILIZER??0)/11000,Number(m.prices?.MELON??0)/400,Number(m.inventory?.MELON??0)/11000,(s.shops??[]).length/8,Number(town.maxShopMultiplicity??0)/8,Number(town.duplicateShopCount??0)/8,Number(priv.shedQty??0)/100,Number(priv.seedQty??0)/100,Number(tk.me?.WEED??0)/100,Number(tk.opp?.WEED??0)/100,Number(tk.opp?.PLANT??0)/100,Number(tk.opp?.PASTURE??0)/100];rows.push({seed:Number(g.seed),y:t.active?1:0,x})}}\nconst bad=rows.reduce((n,a)=>n+a.x.filter(v=>!Number.isFinite(v)).length,0);if(bad)throw new Error(`non-finite ${bad}`);function sig(z:number){return z>=0?1/(1+Math.exp(-z)):Math.exp(z)/(1+Math.exp(z))}\nconst d=rows[0].x.length,n=rows.length,pos=rows.reduce((a,x)=>a+x.y,0),neg=n-pos,mu=Array(d).fill(0),sd=Array(d).fill(0);for(const a of rows)for(let j=0;j{let z=w[0];for(let j=0;j=thr;if(q&&a.y)tp++;else if(q&&!a.y)fp++;else if(!q&&!a.y)tn++;else fn++}const precision=tp/(tp+fp||1),recall=tp/(tp+fn||1),spec=tn/(tn+fp||1),f1=2*precision*recall/(precision+recall||1);return{tp,fp,tn,fn,precision,recall,specificity:spec,balancedAccuracy:(recall+spec)/2,f1}}\nlet best={threshold:.5,f1:-1,ba:-1};for(let i=2;i<=95;i++){const m=metric(i/100);if(m.f1>best.f1||(m.f1===best.f1&&m.balancedAccuracy>best.ba))best={threshold:i/100,f1:m.f1,ba:m.balancedAccuracy}}function selective(high:number,low:number){let tp=0,fp=0,tn=0,fn=0,abstain=0;for(const a of scored){if(a.p>=high){if(a.y)tp++;else fp++}else if(a.p<=low){if(a.y)fn++;else tn++}else abstain++}const predicted=tp+fp+tn+fn,precision=tp/(tp+fp||1),npv=tn/(tn+fn||1),accuracy=(tp+tn)/(predicted||1);return{tp,fp,tn,fn,abstain,predicted,coverage:predicted/scored.length,precision,npv,accuracy}}let high:number|null=null,highRecall=-1,bestPrecision={threshold:.5,precision:-1,recall:0,tp:0};for(let i=50;i<=99;i++){const t=i/100,m=metric(t);if(m.tp>=4&&(m.precision>bestPrecision.precision||(m.precision===bestPrecision.precision&&m.recall>bestPrecision.recall)))bestPrecision={threshold:t,precision:m.precision,recall:m.recall,tp:m.tp};if(m.precision>=.9&&m.recall>highRecall){high=t;highRecall=m.recall}}let low:number|null=null,lowCoverage=-1;for(let i=1;i<=80;i++){const t=i/100;let tn=0,fn=0;for(const a of scored)if(a.p<=t){if(a.y)fn++;else tn++}const npv=tn/(tn+fn||1),cov=(tn+fn)/scored.length;if(npv>=.99&&cov>lowCoverage){low=t;lowCoverage=cov}}const selectiveFeasible=high!==null&&low!==null&&low=0.90; inactive threshold requires NPV>=0.99; if no threshold satisfies the active constraint, gate is INFEASIBLE and must not be used',train:selectiveTrain},model:{mu,sd,w}},null,2));if(!pass)throw new Error('train integrity fail');",[],[823],"403592fe-55e8-43ab-b683-613c95378f84","mix11_broker_activation_lifecycle_cv_v2.ts","7e207998-ab3d-11f1-b17e-1607ee4eb77e",42,["D",1788841602246],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[106001,106013,106027,106039];const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds,scenarioTelemetry:'FULL',teacherCashActivation:'BROKER_199_200',teacherCashEvery:6});\ntype Row={seed:number,y:number,xBase:number[],xLife:number[]};const rows:Row[]=[];let baselineMismatch=0;const lg=(x:any)=>Math.log1p(Math.max(0,Number(x)||0));\nfunction lifeVec(L:any){const out:number[]=[];for(const c of ['WHEAT','MELON','STRAWBERRY']){const x=L?.crops?.[c]??{};out.push(Number(x.count??0)/100,Number(x.yieldSum??0)/300,Number(x.yieldPositive??0)/100,Number(x.meanAge??0)/30,Number(x.waterStress??0)/100,Number(x.fertilized??0)/100,Number(x.finiteLifespan??0)/100)}for(const a of ['COW','SHEEP']){const x=L?.animals?.[a]??{};out.push(Number(x.count??0)/100,Number(x.yieldSum??0)/300,Number(x.meanAge??0)/30,Number(x.unfedStress??0)/100,Number(x.pendingCare??0)/300,Number(x.fertilizerAvailable??0)/100)}out.push(Number(L?.weeds??0)/100);return out}\nfor(const g of r.games){const byStep=new Map((g.scenarioTrace??[]).map((x:any)=>[Number(x.step),x]));for(const t of g.teacherActivationTrace??[]){if(!t.baselineMatch)baselineMismatch++;const s=byStep.get(Number(t.step));if(!s)continue;const me=s.me??{},opp=s.opp??{},m=s.market??{},tk=s.publicTileKinds??{},town=s.townScenario??{},priv=s.ownPrivate??{},phase=String(s.horizon?.phase??'');const xBase=[Number(s.day)/29,Number(s.hour)/23,phase==='EARLY'?1:0,phase==='MID'?1:0,phase==='LATE'?1:0,phase==='CLOSING'?1:0,lg(me.cash)/12,lg(opp.cash)/12,Number(me.land??0)/4,Number(opp.land??0)/4,Number(me.crops??0)/100,Number(opp.crops??0)/100,Number(me.pastures??0)/100,Number(opp.pastures??0)/100,Number(me.animals??0)/100,Number(opp.animals??0)/100,Number(me.hands??0)/20,Number(opp.hands??0)/20,Number(me.hiresToday??0)/20,Number(opp.hiresToday??0)/20,Number(me.cropMix?.WHEAT??0)/100,Number(me.cropMix?.MELON??0)/100,Number(opp.cropMix?.WHEAT??0)/100,Number(opp.cropMix?.MELON??0)/100,Number(m.prices?.WHEAT??0)/100,Number(m.inventory?.WHEAT??0)/11000,Number(m.prices?.FERTILIZER??0)/150,Number(m.inventory?.FERTILIZER??0)/11000,Number(m.prices?.MELON??0)/400,Number(m.inventory?.MELON??0)/11000,(s.shops??[]).length/8,Number(town.maxShopMultiplicity??0)/8,Number(town.duplicateShopCount??0)/8,Number(priv.shedQty??0)/100,Number(priv.seedQty??0)/100,Number(tk.me?.WEED??0)/100,Number(tk.opp?.WEED??0)/100,Number(tk.opp?.PLANT??0)/100,Number(tk.opp?.PASTURE??0)/100];const oppLife=lifeVec(s.publicTileLifecycle?.opp),meLife=lifeVec(s.publicTileLifecycle?.me);const interaction=[(oppLife[0]??0)*(Number(m.prices?.WHEAT??0)/100),(oppLife[1]??0)*(Number(m.prices?.WHEAT??0)/100),(oppLife[2]??0)*(phase==='EARLY'?1:0),(oppLife[2]??0)*(phase==='MID'?1:0),Number(opp.cropMix?.WHEAT??0)/100*Number(opp.hands??0)/20];rows.push({seed:Number(g.seed),y:t.active?1:0,xBase,xLife:[...xBase,...oppLife,...meLife,...interaction]})}}\nfunction sig(z:number){return z>=0?1/(1+Math.exp(-z)):Math.exp(z)/(1+Math.exp(z))}\nfunction fit(train:Row[],key:'xBase'|'xLife'){const d=train[0][key].length,n=train.length,pos=train.reduce((a,x)=>a+x.y,0),neg=n-pos,mu=Array(d).fill(0),sd=Array(d).fill(0);for(const x of train)for(let j=0;j{let z=w[0];for(let j=0;jx.y),n=a.filter(x=>!x.y);if(!p.length||!n.length)return null;let w=0;for(const x of p)for(const y of n)w+=x.p>y.p?1:x.p===y.p?.5:0;return w/(p.length*n.length)}\nfunction metric(a:any[],t:number){let tp=0,fp=0,tn=0,fn=0;for(const x of a){const q=x.p>=t;if(q&&x.y)tp++;else if(q&&!x.y)fp++;else if(!q&&!x.y)tn++;else fn++}const precision=tp/(tp+fp||1),recall=tp/(tp+fn||1),specificity=tn/(tn+fp||1),f1=2*precision*recall/(precision+recall||1);return{tp,fp,tn,fn,precision,recall,specificity,balancedAccuracy:(recall+specificity)/2,f1}}\nfunction choose(a:any[]){let b={t:.5,f1:-1,ba:-1};for(let i=2;i<=95;i++){const m=metric(a,i/100);if(m.f1>b.f1||(m.f1===b.f1&&m.balancedAccuracy>b.ba))b={t:i/100,f1:m.f1,ba:m.balancedAccuracy}}return b.t}\nfunction cv(key:'xBase'|'xLife'){const folds:any[]=[],pool:any[]=[];for(const testSeed of seeds){const tr=rows.filter(x=>x.seed!==testSeed),te=rows.filter(x=>x.seed===testSeed),model=fit(tr,key),trS=tr.map(x=>({y:x.y,p:model(x)})),teS=te.map(x=>({y:x.y,p:model(x)})),t=choose(trS);pool.push(...teS.map(x=>({...x,t})));folds.push({testSeed,auc:auc(teS),threshold:t,metrics:metric(teS,t)})}let tp=0,fp=0,tn=0,fn=0;for(const x of pool){const q=x.p>=x.t;if(q&&x.y)tp++;else if(q&&!x.y)fp++;else if(!q&&!x.y)tn++;else fn++}const precision=tp/(tp+fp||1),recall=tp/(tp+fn||1),specificity=tn/(tn+fp||1),f1=2*precision*recall/(precision+recall||1);return{folds,pooled:{n:pool.length,positives:pool.reduce((a,x)=>a+x.y,0),auc:auc(pool),tp,fp,tn,fn,precision,recall,specificity,balancedAccuracy:(recall+specificity)/2,f1}}}\nconst bad=rows.reduce((n,x)=>n+x.xLife.filter(v=>!Number.isFinite(v)).length,0),base=cv('xBase'),life=cv('xLife'),pass=baselineMismatch===0&&bad===0&&rows.length===960;console.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'MIX11_BROKER_PUBLIC_LIFECYCLE_LEGAL_CV_V2',core:AUTOLAB_CORE_VERSION,seeds,rows:rows.length,positives:rows.reduce((a,x)=>a+x.y,0),baselineMismatch,nonFinite:bad,base,lifecycle:life,delta:{auc:(life.pooled.auc??0)-(base.pooled.auc??0),f1:life.pooled.f1-base.pooled.f1,balancedAccuracy:life.pooled.balancedAccuracy-base.pooled.balancedAccuracy}},null,2));if(!pass)throw new Error('lifecycle cv integrity fail');",[],[831],"f8440f5e-8944-4a94-83ba-df0f10fc1054","mix11_broker_activation_heldout_v1.ts","9bfab6e0-ab38-11f1-8251-1607ee4eb77e",32,["D",1788839504851],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst trainSeeds=[106001,106013,106027,106039],testSeeds=[106051,106063,106079],allSeeds=[...trainSeeds,...testSeeds];\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:allSeeds,scenarioTelemetry:'FULL',teacherCashActivation:'BROKER_199_200',teacherCashEvery:6});\ntype Row={seed:number,y:number,xFull:number[],xTime:number[]};const rows:Row[]=[];let baselineMismatch=0;const lg=(x:any)=>Math.log1p(Math.max(0,Number(x)||0));\nfor(const g of r.games){const byStep=new Map((g.scenarioTrace??[]).map((x:any)=>[Number(x.step),x]));for(const t of g.teacherActivationTrace??[]){if(!t.baselineMatch)baselineMismatch++;const s=byStep.get(Number(t.step));if(!s)continue;const me=s.me??{},opp=s.opp??{},m=s.market??{},tk=s.publicTileKinds??{},town=s.townScenario??{},priv=s.ownPrivate??{},phase=String(s.horizon?.phase??'');const xTime=[Number(s.day)/29,Number(s.hour)/23,phase==='EARLY'?1:0,phase==='MID'?1:0,phase==='LATE'?1:0,phase==='CLOSING'?1:0];const xFull=[...xTime,lg(me.cash)/12,lg(opp.cash)/12,Number(me.land??0)/4,Number(opp.land??0)/4,Number(me.crops??0)/100,Number(opp.crops??0)/100,Number(me.pastures??0)/100,Number(opp.pastures??0)/100,Number(me.animals??0)/100,Number(opp.animals??0)/100,Number(me.hands??0)/20,Number(opp.hands??0)/20,Number(me.cropMix?.WHEAT??0)/100,Number(me.cropMix?.MELON??0)/100,Number(opp.cropMix?.WHEAT??0)/100,Number(opp.cropMix?.MELON??0)/100,Number(m.prices?.WHEAT??0)/100,Number(m.inventory?.WHEAT??0)/11000,Number(m.prices?.FERTILIZER??0)/150,Number(m.inventory?.FERTILIZER??0)/11000,Number(m.prices?.MELON??0)/400,Number(m.inventory?.MELON??0)/11000,(s.shops??[]).length/8,Number(town.maxShopMultiplicity??0)/8,Number(town.duplicateShopCount??0)/8,Number(priv.shedQty??0)/100,Number(priv.seedQty??0)/100,Number(tk.me?.WEED??0)/100,Number(tk.opp?.WEED??0)/100,Number(tk.opp?.PLANT??0)/100,Number(tk.opp?.PASTURE??0)/100];rows.push({seed:Number(g.seed),y:t.active?1:0,xFull,xTime})}}\nconst bad=rows.reduce((n,x)=>n+x.xFull.filter(v=>!Number.isFinite(v)).length,0);if(bad)throw new Error(`non-finite features ${bad}`);\nfunction sigmoid(z:number){return z>=0?1/(1+Math.exp(-z)):Math.exp(z)/(1+Math.exp(z))}\nfunction fit(train:Row[],key:'xFull'|'xTime'){const d=train[0][key].length,n=train.length,pos=train.reduce((a,x)=>a+x.y,0),neg=n-pos,mu=Array(d).fill(0),sd=Array(d).fill(0);for(const x of train)for(let j=0;j{let z=w[0];for(let j=0;j=thr;if(q&&x.y)tp++;else if(q&&!x.y)fp++;else if(!q&&!x.y)tn++;else fn++}const precision=tp/(tp+fp||1),recall=tp/(tp+fn||1),specificity=tn/(tn+fp||1),f1=2*precision*recall/(precision+recall||1);return{tp,fp,tn,fn,precision,recall,specificity,balancedAccuracy:(recall+specificity)/2,f1}}\nfunction auc(data:{y:number,p:number}[]){const p=data.filter(x=>x.y),n=data.filter(x=>!x.y);let w=0;if(!p.length||!n.length)return null;for(const a of p)for(const b of n)w+=a.p>b.p?1:a.p===b.p?0.5:0;return w/(p.length*n.length)}\nfunction choose(data:{y:number,p:number}[]){let best={thr:.5,f1:-1,ba:-1};for(let i=2;i<=95;i++){const m=metric(data,i/100);if(m.f1>best.f1||(m.f1===best.f1&&m.balancedAccuracy>best.ba))best={thr:i/100,f1:m.f1,ba:m.balancedAccuracy}}return best.thr}\nfunction evaluate(key:'xFull'|'xTime'){const train=rows.filter(x=>trainSeeds.includes(x.seed)),test=rows.filter(x=>testSeeds.includes(x.seed)),model=fit(train,key),tr=train.map(x=>({y:x.y,p:model(x)})),te=test.map(x=>({y:x.y,p:model(x)})),thr=choose(tr);const bySeed:any={};for(const s of testSeeds){const z=te.filter((_,i)=>test[i].seed===s);bySeed[s]={n:z.length,positives:z.reduce((a,x)=>a+x.y,0),auc:auc(z),metrics:metric(z,thr)}}return{thresholdFrozenFromTrain:thr,train:{n:tr.length,positives:tr.reduce((a,x)=>a+x.y,0),auc:auc(tr),metrics:metric(tr,thr)},heldout:{n:te.length,positives:te.reduce((a,x)=>a+x.y,0),auc:auc(te),metrics:metric(te,thr)},bySeed}}\nconst full=evaluate('xFull'),time=evaluate('xTime');const pass=baselineMismatch===0&&rows.length===allSeeds.length*2*120;\nconsole.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'MIX11_BROKER_LEGAL_ACTIVATION_FROZEN_FRESH_HELDOUT_V1',core:AUTOLAB_CORE_VERSION,trainSeeds,testSeeds,rows:rows.length,baselineMismatch,timeOnly:time,fullLegalContext:full,scope:'Frozen feature family/model training on four seeds; threshold selected on training only; three fresh seeds are held out and not used for fitting.'},null,2));if(!pass)throw new Error('heldout integrity fail');",[],[839],"eb258398-75cb-4915-97c7-949030f2cfbc","mix11_broker_activation_heldout_frozen_v2.ts","75d4a544-ab3c-11f1-a16f-1607ee4eb77e",34,["D",1788841158834],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst testSeeds=[106051,106063,106079];\nconst threshold=0.78;\nconst mu=[0.5000000000000009,0.3913043478260895,0.1999999999999996,0.3999999999999989,0.29999999999999927,0.09999999999999995,0.7200317265368604,0.7351319182868157,0.38333333333333275,0.5979166666666655,0.11379166666666628,0.35812500000000064,0.12620833333333292,0.10970833333333245,0.06360416666666645,0.10806249999999906,0,0,0.11379166666666628,0,0.07020833333333316,0.07108333333333319,0.3744270833333333,0.8896328598484841,0.5441458333333338,0.9174703598484854,0.5914791666666672,0.9118742424242449,0.5500000000000002,0.2125000000000021,0.14531250000000145,0.10085416666666629,0.026489583333333445,0.019802083333333345,0.02133333333333335,0.35812500000000064,0.10970833333333245];\nconst sd=[0.29846349922066157,0.29166104154345224,0.40000000099999794,0.48989794955664046,0.45825757049558696,0.30000000099999896,0.07559657972574566,0.20458917848988728,0.22110832035702463,0.21236719806416343,0.04539408942447299,0.14734181236052324,0.019848340910990588,0.040910451138754585,0.0365679967882877,0.04183544562633735,1e-9,1e-9,0.04539408942447299,1e-9,0.07905403271600765,0.03221790061427589,0.078006977823613,0.018257462391716738,0.08984496536377388,0.006114920002658711,0.06963034627157602,0.0028346348774994173,0.3409545434246467,0.10532687316470439,0.133234624291959,0.13236746452221768,0.03467512861081609,0.040805208947756653,0.0411589071511059,0.14734181236052324,0.040910451138754585];\nconst w=[-2.1705152816370568,-0.29524682973122707,0.08369306064884105,-0.2634708452685355,0.393984898149786,-0.07089694330242895,-0.18378331403954803,0.02179667139152445,0.6112088368254037,-0.20643496881454518,-0.6089646904912177,-0.3260385703815298,-0.40477552147232326,0.11938558005197523,-0.4935853400497007,-0.3874050979399236,-0.08741687118475812,0,0,-0.3260385703815298,0,-0.725463519146509,-0.895594505876693,-0.24714128288909679,0.274703876911558,0.17192326173678207,-0.20897130736153446,-0.12226099482270575,0.1987393785781047,0.07045621553488554,0.39212623515409967,-0.21908867274130456,0.5709757171581984,0.5723187632272776,-0.1689746044542374,-0.5555212475002855,-0.40477552147232326,-0.4935853400497007];\nconst lg=(x:any)=>Math.log1p(Math.max(0,Number(x)||0));const sig=(z:number)=>z>=0?1/(1+Math.exp(-z)):Math.exp(z)/(1+Math.exp(z));\nfunction feat(s:any){const me=s.me??{},opp=s.opp??{},m=s.market??{},tk=s.publicTileKinds??{},town=s.townScenario??{},priv=s.ownPrivate??{},phase=String(s.horizon?.phase??'');return [Number(s.day)/29,Number(s.hour)/23,phase==='EARLY'?1:0,phase==='MID'?1:0,phase==='LATE'?1:0,phase==='CLOSING'?1:0,lg(me.cash)/12,lg(opp.cash)/12,Number(me.land??0)/4,Number(opp.land??0)/4,Number(me.crops??0)/100,Number(opp.crops??0)/100,Number(me.pastures??0)/100,Number(opp.pastures??0)/100,Number(me.animals??0)/100,Number(opp.animals??0)/100,Number(me.hands??0)/20,Number(opp.hands??0)/20,Number(me.cropMix?.WHEAT??0)/100,Number(me.cropMix?.MELON??0)/100,Number(opp.cropMix?.WHEAT??0)/100,Number(opp.cropMix?.MELON??0)/100,Number(m.prices?.WHEAT??0)/100,Number(m.inventory?.WHEAT??0)/11000,Number(m.prices?.FERTILIZER??0)/150,Number(m.inventory?.FERTILIZER??0)/11000,Number(m.prices?.MELON??0)/400,Number(m.inventory?.MELON??0)/11000,(s.shops??[]).length/8,Number(town.maxShopMultiplicity??0)/8,Number(town.duplicateShopCount??0)/8,Number(priv.shedQty??0)/100,Number(priv.seedQty??0)/100,Number(tk.me?.WEED??0)/100,Number(tk.opp?.WEED??0)/100,Number(tk.opp?.PLANT??0)/100,Number(tk.opp?.PASTURE??0)/100]}\nfunction score(x:number[]){let z=w[0];for(let j=0;jx.y),n=data.filter(x=>!x.y);if(!p.length||!n.length)return null;let q=0;for(const a of p)for(const b of n)q+=a.p>b.p?1:a.p===b.p?0.5:0;return q/(p.length*n.length)}\nfunction metric(data:any[]){let tp=0,fp=0,tn=0,fn=0;for(const a of data){const q=a.p>=threshold;if(q&&a.y)tp++;else if(q&&!a.y)fp++;else if(!q&&!a.y)tn++;else fn++}const precision=tp/(tp+fp||1),recall=tp/(tp+fn||1),specificity=tn/(tn+fp||1),f1=2*precision*recall/(precision+recall||1);return{tp,fp,tn,fn,precision,recall,specificity,balancedAccuracy:(recall+specificity)/2,f1}}\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:testSeeds,scenarioTelemetry:'FULL',teacherCashActivation:'BROKER_199_200',teacherCashEvery:6});\nconst data:any[]=[];let baselineMismatch=0,nonFinite=0,oodRows=0,maxAbsZ=0;const phase:any={};for(const g of r.games){const byStep=new Map((g.scenarioTrace??[]).map((x:any)=>[Number(x.step),x]));for(const t of g.teacherActivationTrace??[]){if(!t.baselineMatch)baselineMismatch++;const s=byStep.get(Number(t.step));if(!s)continue;const x=feat(s);nonFinite+=x.filter(v=>!Number.isFinite(v)).length;let mz=0;for(let j=0;j6)oodRows++;const y=t.active?1:0,p=score(x),ph=String(s.horizon?.phase??'');phase[ph]=phase[ph]??{n:0,active:0};phase[ph].n++;phase[ph].active+=y;data.push({seed:Number(g.seed),seat:Number(g.ourSeat),step:Number(t.step),y,p,phase:ph})}}\nconst bySeed:any={};for(const seed of testSeeds){const z=data.filter(x=>x.seed===seed);bySeed[seed]={n:z.length,positives:z.reduce((a,x)=>a+x.y,0),auc:auc(z),metrics:metric(z)}}const pass=baselineMismatch===0&&nonFinite===0&&data.length===testSeeds.length*2*120;console.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'MIX11_BROKER_LEGAL_ACTIVATION_FROZEN_FRESH_HELDOUT_V2',core:AUTOLAB_CORE_VERSION,testSeeds,threshold,dataRows:data.length,positives:data.reduce((a,x)=>a+x.y,0),baselineMismatch,nonFinite,ood:{criterion:'max |train-z| > 6',rows:oodRows,maxAbsZ},phase,heldout:{auc:auc(data),metrics:metric(data)},bySeed},null,2));if(!pass)throw new Error('heldout integrity fail');",[],[847],"34f77498-0955-44f8-aeeb-15d96d03f5bc","mix11_broker_activation_cv_v1.ts","17c3661a-ab38-11f1-b3d9-1607ee4eb77e",31,["D",1788839395399],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\n\nconst seeds=[106001,106013,106027,106039];\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds,scenarioTelemetry:'FULL',teacherCashActivation:'BROKER_199_200',teacherCashEvery:6});\n\ntype Row={seed:number,seat:number,y:number,xFull:number[],xTime:number[]};\nconst rows:Row[]=[];let baselineMismatch=0;\nconst lg=(x:any)=>Math.log1p(Math.max(0,Number(x)||0));\nfor(const g of r.games){\n const byStep=new Map((g.scenarioTrace??[]).map((x:any)=>[Number(x.step),x]));\n for(const t of g.teacherActivationTrace??[]){\n if(!t.baselineMatch)baselineMismatch++;\n const s=byStep.get(Number(t.step)); if(!s) continue;\n const me=s.me??{},opp=s.opp??{},m=s.market??{},tk=s.publicTileKinds??{},town=s.townScenario??{},priv=s.ownPrivate??{};\n const phase=String(s.horizon?.phase??'');\n const xTime=[Number(s.day)/29,Number(s.hour)/23,phase==='EARLY'?1:0,phase==='MID'?1:0,phase==='LATE'?1:0,phase==='CLOSING'?1:0];\n const xFull=[...xTime,\n lg(me.cash)/12,lg(opp.cash)/12,Number(me.land)/4,Number(opp.land)/4,Number(me.crops)/100,Number(opp.crops)/100,\n Number(me.pastures??0)/100,Number(opp.pastures??0)/100,Number(me.animals??0)/100,Number(opp.animals??0)/100,Number(me.hands??0)/20,Number(opp.hands??0)/20,\n Number(me.cropMix?.WHEAT??0)/100,Number(me.cropMix?.MELON??0)/100,Number(opp.cropMix?.WHEAT??0)/100,Number(opp.cropMix?.MELON??0)/100,\n Number(m.prices?.WHEAT??0)/100,Number(m.inventory?.WHEAT??0)/11000,Number(m.prices?.FERTILIZER??0)/150,Number(m.inventory?.FERTILIZER??0)/11000,\n Number(m.prices?.MELON??0)/400,Number(m.inventory?.MELON??0)/11000,(s.shops??[]).length/8,Number(town.maxShopMultiplicity??0)/8,Number(town.duplicateShopCount??0)/8,\n Number(priv.shedQty??0)/100,Number(priv.seedQty??0)/100,Number(tk.me?.WEED??0)/100,Number(tk.opp?.WEED??0)/100,Number(tk.opp?.PLANT??0)/100,Number(tk.opp?.PASTURE??0)/100\n ];\n rows.push({seed:Number(g.seed),seat:Number(g.ourSeat),y:t.active?1:0,xFull,xTime});\n }\n}\nfunction sigmoid(z:number){return z>=0?1/(1+Math.exp(-z)):Math.exp(z)/(1+Math.exp(z))}\nfunction fit(train:Row[],key:'xFull'|'xTime'){\n const d=train[0][key].length,n=train.length,pos=train.reduce((a,x)=>a+x.y,0),neg=n-pos;\n const mu=Array(d).fill(0),sd=Array(d).fill(0);\n for(const row of train)for(let j=0;j{let z=w[0];for(let j=0;jx.y),b=data.filter(x=>!x.y);if(!a.length||!b.length)return null;let win=0;for(const p of a)for(const n of b)win+=p.p>n.p?1:p.p===n.p?0.5:0;return win/(a.length*b.length)}\nfunction metric(data:{y:number,p:number}[],thr:number){let tp=0,fp=0,tn=0,fn=0;for(const x of data){const q=x.p>=thr?1:0;if(q&&x.y)tp++;else if(q&&!x.y)fp++;else if(!q&&!x.y)tn++;else fn++;}const precision=tp/(tp+fp||1),recall=tp/(tp+fn||1),specificity=tn/(tn+fp||1),f1=2*precision*recall/(precision+recall||1);return{tp,fp,tn,fn,precision,recall,specificity,balancedAccuracy:(recall+specificity)/2,f1}}\nfunction chooseThreshold(data:{y:number,p:number}[]){let best={thr:0.5,f1:-1,balancedAccuracy:-1};for(let i=2;i<=95;i++){const thr=i/100,m=metric(data,thr);if(m.f1>best.f1+1e-12||(Math.abs(m.f1-best.f1)<1e-12&&m.balancedAccuracy>best.balancedAccuracy))best={thr,f1:m.f1,balancedAccuracy:m.balancedAccuracy};}return best.thr}\nfunction cv(key:'xFull'|'xTime'){\n const folds:any[]=[];const pooled:any[]=[];\n for(const testSeed of seeds){const train=rows.filter(x=>x.seed!==testSeed),test=rows.filter(x=>x.seed===testSeed),model=fit(train,key),tr=train.map(x=>({y:x.y,p:model.score(x)})),te=test.map(x=>({y:x.y,p:model.score(x)})),thr=chooseThreshold(tr);pooled.push(...te.map(x=>({...x,thr})));folds.push({testSeed,n:test.length,positives:test.reduce((a,x)=>a+x.y,0),threshold:thr,auc:auc(te),metrics:metric(te,thr)});}\n let tp=0,fp=0,tn=0,fn=0;for(const x of pooled){const q=x.p>=x.thr?1:0;if(q&&x.y)tp++;else if(q&&!x.y)fp++;else if(!q&&!x.y)tn++;else fn++;}const precision=tp/(tp+fp||1),recall=tp/(tp+fn||1),specificity=tn/(tn+fp||1),f1=2*precision*recall/(precision+recall||1);return{folds,pooled:{n:pooled.length,positives:pooled.reduce((a,x)=>a+x.y,0),auc:auc(pooled),tp,fp,tn,fn,precision,recall,specificity,balancedAccuracy:(recall+specificity)/2,f1}};\n}\nconst nonFinite=rows.reduce((n,r)=>n+r.xFull.filter(v=>!Number.isFinite(v)).length,0);if(nonFinite)throw new Error(`non-finite legal features: ${nonFinite}`);const full=cv('xFull'),time=cv('xTime');const phaseCounts:any={};for(const x of rows){const ph=x.xTime[2]?'EARLY':x.xTime[3]?'MID':x.xTime[4]?'LATE':'CLOSING';phaseCounts[ph]=phaseCounts[ph]??{n:0,active:0};phaseCounts[ph].n++;phaseCounts[ph].active+=x.y}\nconst pass=baselineMismatch===0&&rows.length===seeds.length*2*120;\nconsole.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'MIX11_BROKER_LEGAL_CONTEXT_ACTIVATION_CV_V1',core:AUTOLAB_CORE_VERSION,seeds,rows:rows.length,positives:rows.reduce((a,x)=>a+x.y,0),baselineMismatch,phaseCounts,timeOnly:time,fullLegalContext:full,interpretation:'Teacher label is offline/nondeployable; classifier features are legal from our MIX11 observation. Cross-validation holds out both seats of one seed at a time.'},null,2));\nif(!pass)throw new Error('activation CV dataset integrity failed');",[],[855],"40e3d37c-8e4a-4f4a-90e3-e3ca606df9c3","mix11_broker_activation_basev2_train.ts","bc88c7e4-ab3d-11f1-a27c-1607ee4eb77e",43,["D",1788841706920],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[106001,106013,106027,106039],r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds,scenarioTelemetry:'FULL',teacherCashActivation:'BROKER_199_200',teacherCashEvery:6});type Row={seed:number,y:number,x:number[]};const rows:Row[]=[];let baselineMismatch=0;const lg=(x:any)=>Math.log1p(Math.max(0,Number(x)||0));\nfunction feat(s:any){const me=s.me??{},opp=s.opp??{},m=s.market??{},tk=s.publicTileKinds??{},town=s.townScenario??{},priv=s.ownPrivate??{},phase=String(s.horizon?.phase??'');return [Number(s.day)/29,Number(s.hour)/23,phase==='EARLY'?1:0,phase==='MID'?1:0,phase==='LATE'?1:0,phase==='CLOSING'?1:0,lg(me.cash)/12,lg(opp.cash)/12,Number(me.land??0)/4,Number(opp.land??0)/4,Number(me.crops??0)/100,Number(opp.crops??0)/100,Number(me.pastures??0)/100,Number(opp.pastures??0)/100,Number(me.animals??0)/100,Number(opp.animals??0)/100,Number(me.hands??0)/20,Number(opp.hands??0)/20,Number(me.hiresToday??0)/20,Number(opp.hiresToday??0)/20,Number(me.cropMix?.WHEAT??0)/100,Number(me.cropMix?.MELON??0)/100,Number(opp.cropMix?.WHEAT??0)/100,Number(opp.cropMix?.MELON??0)/100,Number(m.prices?.WHEAT??0)/100,Number(m.inventory?.WHEAT??0)/11000,Number(m.prices?.FERTILIZER??0)/150,Number(m.inventory?.FERTILIZER??0)/11000,Number(m.prices?.MELON??0)/400,Number(m.inventory?.MELON??0)/11000,(s.shops??[]).length/8,Number(town.maxShopMultiplicity??0)/8,Number(town.duplicateShopCount??0)/8,Number(priv.shedQty??0)/100,Number(priv.seedQty??0)/100,Number(tk.me?.WEED??0)/100,Number(tk.opp?.WEED??0)/100,Number(tk.opp?.PLANT??0)/100,Number(tk.opp?.PASTURE??0)/100]}\nfor(const g of r.games){const byStep=new Map((g.scenarioTrace??[]).map((x:any)=>[Number(x.step),x]));for(const t of g.teacherActivationTrace??[]){if(!t.baselineMatch)baselineMismatch++;const s=byStep.get(Number(t.step));if(s)rows.push({seed:Number(g.seed),y:t.active?1:0,x:feat(s)})}}\nfunction sig(z:number){return z>=0?1/(1+Math.exp(-z)):Math.exp(z)/(1+Math.exp(z))}const d=rows[0].x.length,n=rows.length,pos=rows.reduce((a,x)=>a+x.y,0),neg=n-pos,mu=Array(d).fill(0),sd=Array(d).fill(0);for(const a of rows)for(let j=0;j{let z=w[0];for(let j=0;j=t;if(q&&a.y)tp++;else if(q&&!a.y)fp++;else if(!q&&!a.y)tn++;else fn++}const precision=tp/(tp+fp||1),recall=tp/(tp+fn||1),specificity=tn/(tn+fp||1),f1=2*precision*recall/(precision+recall||1);return{tp,fp,tn,fn,precision,recall,specificity,balancedAccuracy:(recall+specificity)/2,f1}}let best={threshold:.5,f1:-1,ba:-1};for(let i=2;i<=95;i++){const m=metric(i/100);if(m.f1>best.f1||(m.f1===best.f1&&m.balancedAccuracy>best.ba))best={threshold:i/100,f1:m.f1,ba:m.balancedAccuracy}}\nconst bad=rows.reduce((a,x)=>a+x.x.filter(v=>!Number.isFinite(v)).length,0),pass=baselineMismatch===0&&bad===0&&rows.length===960;console.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'MIX11_BROKER_BASEV2_FROZEN_TRAIN',core:AUTOLAB_CORE_VERSION,seeds,rows:rows.length,positives:pos,baselineMismatch,nonFinite:bad,threshold:best.threshold,trainMetrics:metric(best.threshold),model:{mu,sd,w}},null,2));if(!pass)throw new Error('basev2 train integrity fail');",[],[863],"be6d46a2-f217-414f-8296-450cd60f616a","mix11_broker_activation_basev2_heldout.ts","f93fb1e8-ab3d-11f1-bfda-1607ee4eb77e",44,["D",1788841808814],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst testSeeds=[106091,106103,106117],threshold=0.7;\nconst mu=[0.5000000000000009,0.3913043478260895,0.1999999999999996,0.3999999999999989,0.29999999999999927,0.09999999999999995,0.7200317265368604,0.7351319182868157,0.38333333333333275,0.5979166666666655,0.11379166666666628,0.35812500000000064,0.12620833333333292,0.10970833333333245,0.06360416666666645,0.10806249999999906,0.30000000000000354,0.3824999999999955,0.30000000000000354,0.3824999999999955,0.11379166666666628,0,0.07020833333333316,0.07108333333333319,0.3744270833333333,0.8896328598484841,0.5441458333333338,0.9174703598484854,0.5914791666666672,0.9118742424242449,0.5500000000000002,0.2125000000000021,0.14531250000000145,0.10085416666666629,0.026489583333333445,0.019802083333333345,0.02133333333333335,0.35812500000000064,0.10970833333333245];\nconst sd=[0.29846349922066157,0.29166104154345224,0.40000000099999794,0.48989794955664046,0.45825757049558696,0.30000000099999896,0.07559657972574566,0.20458917848988728,0.22110832035702463,0.21236719806416343,0.04539408942447299,0.14734181236052324,0.019848340910990588,0.040910451138754585,0.0365679967882877,0.04183544562633735,0.17320508175688734,0.2513836719096274,0.17320508175688734,0.2513836719096274,0.04539408942447299,1e-9,0.07905403271600765,0.03221790061427589,0.078006977823613,0.018257462391716738,0.08984496536377388,0.006114920002658711,0.06963034627157602,0.0028346348774994173,0.3409545434246467,0.10532687316470439,0.133234624291959,0.13236746452221768,0.03467512861081609,0.040805208947756653,0.0411589071511059,0.14734181236052324,0.040910451138754585];\nconst w=[-2.40638176872522,-0.2821274130797604,0.9970608544819752,-0.2305360293418687,0.3621771077158616,-0.07477584391529869,-0.169829379149553,0.024396363946265823,0.442828212581214,-0.19518541285842342,-0.4932746244067118,-0.2881187033443159,-0.38713848304008425,0.12649386669054496,-0.4326529803429052,-0.37785971103431826,-0.0701833236846533,-0.6705489722470814,-0.0029318363378272043,-0.6705489722470814,-0.0029318363378272043,-0.2881187033443159,0,-0.7511717962969431,-0.8031600957716557,-0.18592495872847153,0.24115323729903038,0.13352635696964027,-0.1638817792741708,-0.07574915199465157,0.1722029196703656,0.047596100067116356,0.35764554771365575,-0.19809802431859008,0.31487125883251077,0.5434689703972906,-0.1415905242060353,-0.47279984992267815,-0.38713848304008425,-0.4326529803429052];\nconst lg=(x:any)=>Math.log1p(Math.max(0,Number(x)||0)),sig=(z:number)=>z>=0?1/(1+Math.exp(-z)):Math.exp(z)/(1+Math.exp(z));\nfunction feat(s:any){const me=s.me??{},opp=s.opp??{},m=s.market??{},tk=s.publicTileKinds??{},town=s.townScenario??{},priv=s.ownPrivate??{},phase=String(s.horizon?.phase??'');return [Number(s.day)/29,Number(s.hour)/23,phase==='EARLY'?1:0,phase==='MID'?1:0,phase==='LATE'?1:0,phase==='CLOSING'?1:0,lg(me.cash)/12,lg(opp.cash)/12,Number(me.land??0)/4,Number(opp.land??0)/4,Number(me.crops??0)/100,Number(opp.crops??0)/100,Number(me.pastures??0)/100,Number(opp.pastures??0)/100,Number(me.animals??0)/100,Number(opp.animals??0)/100,Number(me.hands??0)/20,Number(opp.hands??0)/20,Number(me.hiresToday??0)/20,Number(opp.hiresToday??0)/20,Number(me.cropMix?.WHEAT??0)/100,Number(me.cropMix?.MELON??0)/100,Number(opp.cropMix?.WHEAT??0)/100,Number(opp.cropMix?.MELON??0)/100,Number(m.prices?.WHEAT??0)/100,Number(m.inventory?.WHEAT??0)/11000,Number(m.prices?.FERTILIZER??0)/150,Number(m.inventory?.FERTILIZER??0)/11000,Number(m.prices?.MELON??0)/400,Number(m.inventory?.MELON??0)/11000,(s.shops??[]).length/8,Number(town.maxShopMultiplicity??0)/8,Number(town.duplicateShopCount??0)/8,Number(priv.shedQty??0)/100,Number(priv.seedQty??0)/100,Number(tk.me?.WEED??0)/100,Number(tk.opp?.WEED??0)/100,Number(tk.opp?.PLANT??0)/100,Number(tk.opp?.PASTURE??0)/100]}\nfunction score(x:number[]){let z=w[0];for(let j=0;jx.y),n=a.filter(x=>!x.y);if(!p.length||!n.length)return null;let q=0;for(const x of p)for(const y of n)q+=x.p>y.p?1:x.p===y.p?.5:0;return q/(p.length*n.length)}function metric(a:any[]){let tp=0,fp=0,tn=0,fn=0;for(const x of a){const q=x.p>=threshold;if(q&&x.y)tp++;else if(q&&!x.y)fp++;else if(!q&&!x.y)tn++;else fn++}const precision=tp/(tp+fp||1),recall=tp/(tp+fn||1),specificity=tn/(tn+fp||1),f1=2*precision*recall/(precision+recall||1);return{tp,fp,tn,fn,precision,recall,specificity,balancedAccuracy:(recall+specificity)/2,f1}}\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:testSeeds,scenarioTelemetry:'FULL',teacherCashActivation:'BROKER_199_200',teacherCashEvery:6});const data:any[]=[];let baselineMismatch=0,nonFinite=0,oodRows=0,maxAbsZ=0;const phase:any={};for(const g of r.games){const byStep=new Map((g.scenarioTrace??[]).map((x:any)=>[Number(x.step),x]));for(const t of g.teacherActivationTrace??[]){if(!t.baselineMatch)baselineMismatch++;const s=byStep.get(Number(t.step));if(!s)continue;const x=feat(s);nonFinite+=x.filter(v=>!Number.isFinite(v)).length;let mz=0;for(let j=0;j6)oodRows++;const y=t.active?1:0,p=score(x),ph=String(s.horizon?.phase??'');phase[ph]=phase[ph]??{n:0,active:0};phase[ph].n++;phase[ph].active+=y;data.push({seed:Number(g.seed),seat:Number(g.ourSeat),step:Number(t.step),y,p,phase:ph})}}\nconst bySeed:any={};for(const seed of testSeeds){const z=data.filter(x=>x.seed===seed);bySeed[seed]={n:z.length,positives:z.reduce((a,x)=>a+x.y,0),auc:auc(z),metrics:metric(z)}}const pass=baselineMismatch===0&&nonFinite===0&&data.length===720;console.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'MIX11_BROKER_BASEV2_FROZEN_FRESH_HELDOUT',core:AUTOLAB_CORE_VERSION,testSeeds,threshold,rows:data.length,positives:data.reduce((a,x)=>a+x.y,0),baselineMismatch,nonFinite,ood:{criterion:'max |train-z| > 6',rows:oodRows,maxAbsZ},phase,heldout:{auc:auc(data),metrics:metric(data)},bySeed},null,2));if(!pass)throw new Error('basev2 heldout integrity fail');",[],[871],"7b615024-8b64-472e-9351-6cafbfbafa48","mix11_baseline_policy_catalog_v16.ts","fba1b3ba-ab4b-11f1-9e8a-1607ee4eb77e",95,["D",1788847825758],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nconst url='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';const r=await fetch(url);if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer()));const src=strFromU8(z['rancher_rita.py']);const py=await loadPyodide();py.globals.set('src',src);console.log(String(py.runPython(`import json\\n_n={}\\nexec(src,_n)\\njson.dumps(_n.get('POLICY',{}),sort_keys=True,indent=2)`)));",[],[879],"accb3974-f930-42cd-849d-e85fec9552be","milk_conversion_decomp_v3.ts","e63deaec-abec-11f1-8e1a-1607ee4eb77e",["D",1788916938852],"import { runAutolabJob,AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[112101,112113,112127,112139],targets=['broker_bea.py','rancher_rita.py']; const n=(x:any)=>Number(x??0)||0;\nfunction execMilk(s:any){let avail=n(s?.ownPrivate?.items?.MILK),q=0;for(const m of (s?.ourRequestedMarketOrder??[]).slice(0,10)){if(m?.op==='SELL'&&m?.item==='MILK'){const z=Math.min(avail,Math.max(0,n(m.qty)));q+=z;avail-=z}}return q}\nfunction summarize(g:any){const t=(g.scenarioTrace??[]).filter((s:any)=>n(s.day)>=18&&n(s.day)<27);let sell=0,value=0,shed=0,price=0,cows=0,yieldSum=0,pending=0,unfed=0,rows=0,yieldMoves=0,pendingMoves=0;let py:any=null,pp:any=null;for(const s of t){const q=execMilk(s),p=n(s?.market?.prices?.MILK),a=s?.publicTileLifecycle?.me?.animals?.COW??{};sell+=q;value+=q*p;shed+=n(s?.ownPrivate?.items?.MILK);price+=p;cows+=n(a.count);yieldSum+=n(a.yieldSum);pending+=n(a.pendingCare);unfed+=n(a.unfedStress);if(py!==null&&n(a.yieldSum)!==py)yieldMoves++;if(pp!==null&&n(a.pendingCare)!==pp)pendingMoves++;py=n(a.yieldSum);pp=n(a.pendingCare);rows++;}return {sell,value,rows,meanShed:shed/rows,meanPrice:price/rows,meanCows:cows/rows,meanYieldSum:yieldSum/rows,meanPendingCare:pending/rows,meanUnfedStress:unfed/rows,yieldMoves,pendingMoves};}\nconst out:any={schema:'KAG_MILK_CONVERSION_DECOMP_V3',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'FRESH_OBSERVATIONAL_DECOMPOSITION_NOT_CAUSAL',targets:{}};for(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const xs=r.games.map(summarize),keys=['sell','value','meanShed','meanPrice','meanCows','meanYieldSum','meanPendingCare','meanUnfedStress','yieldMoves','pendingMoves'];const mean:any={};for(const k of keys)mean[k]=xs.reduce((a:any,x:any)=>a+n(x[k]),0)/xs.length;out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},mean,episodes:xs};}const b=out.targets['broker_bea.py'].mean,r=out.targets['rancher_rita.py'].mean;out.brokerMinusRita=Object.fromEntries(Object.keys(b).map(k=>[k,b[k]-r[k]]));console.log(JSON.stringify(out,null,2));",[],[887],"374a3e94-6859-4d03-b3f9-63cc50bfe7ed","lifecycle_sheep_signal_v7.ts","21798b72-abc3-11f1-a8da-1607ee4eb77e",158,["D",1788898999353],"import { runAutolabJob,AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[111001,111013,111027],refs=['broker_bea.py','rancher_rita.py'];const n=(x:any)=>Number(x??0)||0;\nconst sheep=(s:any,side:'me'|'opp')=>s?.publicTileLifecycle?.[side]?.animals?.SHEEP??{};\nconst out:any={schema:'KAG_LIFECYCLE_SHEEP_SIGNAL_V7',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'FRESH_SCENARIO_LIFECYCLE_SIGNAL_VALIDATION',refs:{}};\nfor(const ref of refs){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',legalTelemetry:'NONE',oracleActionTelemetry:'NONE'});let rows=0,meY=0,oppY=0,meP=0,oppP=0;const deltas:any=[];for(const g of r.games){const tr=g.scenarioTrace??[];for(let i=1;i=27)continue;rows++;const am=sheep(a,'me'),bm=sheep(b,'me'),ao=sheep(a,'opp'),bo=sheep(b,'opp'),dyM=n(bm.yieldSum)-n(am.yieldSum),dyO=n(bo.yieldSum)-n(ao.yieldSum),dpM=n(bm.pendingCare)-n(am.pendingCare),dpO=n(bo.pendingCare)-n(ao.pendingCare);if(dyM)meY++;if(dyO)oppY++;if(dpM)meP++;if(dpO)oppP++;if((dyM||dyO||dpM||dpO)&&deltas.length<24)deltas.push({seed:g.seed,seat:g.ourSeat,day:b.day,hour:b.hour,dyM,dyO,dpM,dpO})}}out.refs[ref]={rows,meY,oppY,meP,oppP,deltas,wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors}}}\nconsole.log(JSON.stringify(out,null,2));",[],[894],"568f3676-aaee-48b4-b598-57d82c9388b5","lifecycle_same_turn_parity_v8.ts","41422be6-abcb-11f1-9d09-1607ee4eb77e",159,["D",1788902488659],"import { loadPyodide } from 'npm:pyodide';\nimport { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst REF='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst seeds=[111101,111113,111127],refs=['broker_bea.py','rancher_rita.py'];\nconst n=(x:any)=>Math.max(0,Number(x??0)||0);\nfunction direct(f:any){let count=0,yieldSum=0,pendingCare=0,unfedStress=0;for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object'||String(t.animal??'')!=='SHEEP')continue;count++;yieldSum+=n(t.yield_units);pendingCare+=n(t.pending_care_bonus);unfedStress+=n(t.consecutive_unfed)}return{count,yieldSum,pendingCare,unfedStress}}\nfunction aggregate(f:any){const animals:any={};for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object'||!(t.kind==='PASTURE'||t.animal))continue;const a=String(t.animal??'UNKNOWN'),x=animals[a]??{count:0,yieldSum:0,pendingCare:0,unfedStress:0};x.count++;x.yieldSum+=n(t.yield_units);x.pendingCare+=n(t.pending_care_bonus);x.unfedStress+=n(t.consecutive_unfed);animals[a]=x}return animals.SHEEP??{count:0,yieldSum:0,pendingCare:0,unfedStress:0}}\nconst eq=(a:any,b:any)=>['count','yieldSum','pendingCare','unfedStress'].every(k=>n(a[k])===n(b[k]));\nconst E=await loadOfficialKaggricultureEngine();const rr=await fetch(REF);const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));const py=await loadPyodide();py.runPython(`import json\\n_R={}`);for(const ref of refs){py.globals.set('nm',ref);py.globals.set('src',strFromU8(z[ref]));py.runPython(`_n={}\\nexec(src,_n)\\n_R[nm]=_n['agent']`)}py.runPython(`def call(n,p): return json.dumps(_R[n](json.loads(p)))`);const call=py.globals.get('call');\nconst out:any={schema:'KAG_LIFECYCLE_SAME_TURN_PARITY_V8',seeds,refs:{},evidence_state:'TEACHER_MEASUREMENT_PARITY_ONLY'};\nfor(const ref of refs){let rows=0,mismatch=0,mutationCaught=0,errors=0;const examples:any[]=[];for(const seed of seeds)for(const ourSeat of [0,1] as const){const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const obs=observationFor(s,ourSeat),dMe=direct(obs.farms[ourSeat]),dOpp=direct(obs.farms[1-ourSeat]),aMe=aggregate(obs.farms[ourSeat]),aOpp=aggregate(obs.farms[1-ourSeat]);rows++;if(!eq(dMe,aMe)||!eq(dOpp,aOpp)){mismatch++;if(examples.length<5)examples.push({seed,ourSeat,step:s.step,dMe,aMe,dOpp,aOpp})}const corrupt={...aOpp,yieldSum:n(aOpp.yieldSum)+1};if(!eq(dOpp,corrupt))mutationCaught++;const acts:any[]=[];for(const pid of [0,1] as const){try{const o=observationFor(s,pid);acts[pid]=pid===ourSeat?{farmer:['PASS'],hands:[],market:[]}:JSON.parse(String(call(ref,JSON.stringify(o))))}catch{errors++;acts[pid]={farmer:['PASS'],hands:[],market:[]}}}s=E.interpreter.step(s,acts,cfg)}}out.refs[ref]={rows,mismatch,parityPass:mismatch===0,mutationCaught,mutationExpected:rows,mutationControlPass:mutationCaught===rows,errors,examples}}\nconsole.log(JSON.stringify(out,null,2));",[],[902],"eb47d0e3-068b-4f4b-b8cf-a536e2ae9471","lifecycle_parity_validator_v6.ts","14158a8a-abc3-11f1-a2aa-1607ee4eb77e",157,["D",1788898976881],"import { runAutolabJob,AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[110951,110963],refs=['broker_bea.py','rancher_rita.py'];\nconst n=(x:any)=>Number(x??0)||0;\nfunction direct(f:any){const a:any={};for(const row of f?.tiles??[])for(const t of row??[])if(t?.kind==='PASTURE'&&t?.animal){const k=String(t.animal),x=a[k]??{count:0,yieldSum:0,pendingCare:0,unfedStress:0};x.count++;x.yieldSum+=Math.max(0,n(t.yield_units));x.pendingCare+=Math.max(0,n(t.pending_care_bonus));x.unfedStress+=Math.max(0,n(t.consecutive_unfed));a[k]=x}return a}\nfunction eq(a:any,b:any){return JSON.stringify(a??{})===JSON.stringify(b??{})}\nconst out:any={schema:'KAG_LIFECYCLE_PARITY_VALIDATOR_V6',core:AUTOLAB_CORE_VERSION,seeds,refs:{},evidence_state:'TEACHER_MEASUREMENT_PARITY_WITH_MUTATION_CONTROL'};\nfor(const ref of refs){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',legalTelemetry:'FULL',oracleActionTelemetry:'NONE'});let rows=0,parityFail=0,mutationCaught=0,signalTransitions=0;const examples:any[]=[];for(const g of r.games){let prev:any=null;for(let i=0;i=27)continue;rows++;const me=direct((l as any).__rawFarmMe),opp=direct((l as any).__rawFarmOpp);if(me&&opp){} // raw farms intentionally absent in legalTrace; parity must use scenario direct-observation hook, not compact profile\nconst aggMe=s?.publicTileLifecycle?.me?.animals??{},aggOpp=s?.publicTileLifecycle?.opp?.animals??{};if(prev){const cur={me:aggMe?.SHEEP??{},opp:aggOpp?.SHEEP??{}};if(JSON.stringify(cur)!==JSON.stringify(prev))signalTransitions++;prev=cur}else prev={me:aggMe?.SHEEP??{},opp:aggOpp?.SHEEP??{}};\nconst mut=structuredClone(aggMe);mut.SHEEP={...(mut.SHEEP??{}),yieldSum:n(mut.SHEEP?.yieldSum)+1};if(!eq(mut,aggMe))mutationCaught++;if(!aggMe||!aggOpp)parityFail++;if(examples.length<3)examples.push({seed:g.seed,seat:g.ourSeat,day:s.day,hour:s.hour,sheepMe:aggMe?.SHEEP??null,sheepOpp:aggOpp?.SHEEP??null});}}\nout.refs[ref]={rows,parityFail,mutationCaught,signalTransitions,examples,wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors}}}\nconsole.log(JSON.stringify(out,null,2));",[],[910],"5e9f597d-2d0c-4d0b-b21e-772277a5ac37","legal_top_hierarchy_heldout_v2.ts","01a07f0e-0e12-755c-8cf3-4106a0341202",["D",1788838022689],"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');",[],[918],"d753ac2b-b3d9-4481-8c1b-c9185268736b","legal_top_hierarchy_heldout_v1.ts","01a07f0e-0e12-755c-8cf3-3e96ad3014b6",["D",1788838022689],"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');",[],[925],"a2e40f87-622c-4289-b19c-fc3a5660d407","legal_top_crosspolicy_ood_v1.ts","01a07f0e-0e12-755c-8cf3-392a82eab543",["D",1788838022689],"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 ${bad}`);const q=classify(g.legalTrace);ps.push({truth:ref,pred:q.pred,stage:q.stage,margin:q.margin,seed:g.seed,seat:g.ourSeat})}}const per:any={};for(const p of ps){per[p.truth]=per[p.truth]??{n:0,ok:0};per[p.truth].n++;if(p.truth===p.pred)per[p.truth].ok++}out.variants[variant]={n:ps.length,accuracy:ps.filter(p=>p.truth===p.pred).length/ps.length,perRef:Object.fromEntries(Object.entries(per).map(([k,v]:any)=>[k,v.ok/v.n])),errors:ps.filter(p=>p.truth!==p.pred),minBLMargin:Math.min(...ps.filter(p=>p.stage==='D12_BROKER_LENA').map(p=>p.margin))}}\nif(!out.mutationControl.detected)out.status='FAIL';console.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[],[932],"bad1e411-5c29-4b0f-97a2-a01307b8a043","legal_observer_trace_selftest_v1.ts","01a07f0e-0e12-755c-8cf3-36d13034836d",["D",1788838022689],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\nconst expected:any={'100577:0':[33289,15630],'100577:1':[33247,15630]};\nconst forbiddenKeys=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbiddenKeys.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nconst r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'melon_mateo.py',seeds:[100577],legalTelemetry:'FULL'});\nconst problems:string[]=[];\nif(AUTOLAB_CORE_VERSION!=='KAG_AUTOLAB_CORE_V22_LEGAL_TELEMETRY_SEPARATION')problems.push(`core=${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('; '));",[],[939],"18f7d7f6-4850-41fa-b746-85d6be8fd210","legal_broker_lena_transition_values_v1.ts","01a07f0e-0e12-755c-8cf3-3287b45b370c",["D",1788838022689],"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));",[],[946],"d406b4c9-b65d-4cc5-85e2-eab7c3024433","legal_broker_lena_localdelta_crosspolicy_v1.ts","01a07f0e-0e12-755c-8cf3-2eb79adfbb33",["D",1788838022689],"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');",[],[953],"e8f07398-25c9-4244-a02d-23542173a024","legal_broker_lena_h2_compact_v1.ts","01a07f0e-0e12-755c-8cf3-281a6882f0c4",["D",1788838022689],"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));",[],[960],"2f823b9a-face-4c1f-87de-26ccda4db322","legal_broker_lena_crosspolicy_firstdiff_v1.ts","01a07f0e-0e12-755c-8cf3-2613a9b1dd89",["D",1788838022689],"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));",[],[967],"ebc6b56e-5e33-4258-ad52-00dfbc9b7ed1","inspect_wool_demand_source_v6.ts","f69092f0-abd3-11f1-b051-1607ee4eb77e",162,["D",1788906228822],"const base='https://raw.githubusercontent.com/Kaggle/kaggle-environments/master/kaggle_environments/envs/kaggriculture/visualizer/playable/src/engine/';\nfor(const f of ['interpreter.ts','state.ts','market.ts','constants.ts']){const t=await (await fetch(base+f)).text();const ls=t.split('\\n');const hits:any[]=[];for(let i=0;i`${561+i}: ${x}`).join('\\n'));",[],[982],"6f6d6233-eaad-4e2e-9622-8371c6fb1c89","inspect_state_private_shape_v8a.ts","eec66bdc-abdb-11f1-8ced-1607ee4eb77e",171,["D",1788909651723],"import {loadOfficialKaggricultureEngine,observationFor} from './lib/kaggriculture_engine_loader.ts';const E=await loadOfficialKaggricultureEngine(),cfg=E.state.resolveConfig({seed:111601}),s=E.state.initGameState(2,cfg,111601),o=observationFor(s,0);console.log(JSON.stringify({stateKeys:Object.keys(s),obsPrivate:o.private},null,2));",[],[990],"81680626-163e-411b-97e2-9f91926a430d","inspect_self_action_marketflow_v1.ts","6acdb9e0-ab84-11f1-bc53-1607ee4eb77e",138,["D",1788872064048],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:[109801],scenarioTelemetry:'FULL',legalTelemetry:'FULL',oracleActionTelemetry:'NONE'});\nconst g=r.games[0];\nconsole.log(JSON.stringify({status:'PASS',traceLen:g.selfActionTrace?.length,rows:(g.selfActionTrace??[]).filter((x:any)=>Object.keys(x.marketFlow??{}).length>0).slice(0,8)},null,2));",[],[998],"492b9a8d-233c-4e0c-b05f-7fd34011876b","inspect_scenario_action_summary_v1.ts","9adcf292-ab82-11f1-9a1f-1607ee4eb77e",135,["D",1788871285737],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:[109601],scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});\nconst g=r.games[0];\nconst picks=(g.scenarioTrace??[]).filter((x:any)=>[9,12,15,18,21,24,27].includes(Number(x.day))&&Number(x.hour)===0).map((x:any)=>({day:x.day,hour:x.hour,ourRequestedAction:x.ourRequestedAction,ownPrivate:x.ownPrivate,life:x.publicTileLifecycle?.me}));\nconsole.log(JSON.stringify({status:'PASS',schema:'KAG_SCENARIO_ACTION_SUMMARY_INSPECT_V1',sample:picks},null,2));",[],[1006],"10f939b3-da26-4c05-9abb-0d9562d30535","inspect_oracle_wool_sell_v10a.ts","a58da198-abe4-11f1-9cac-1607ee4eb77e",178,["D",1788913407154],"import {runAutolabJob} from './lib/kag_autolab_core.ts';const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:[111841],scenarioTelemetry:'FULL',oracleActionTelemetry:'FULL',legalTelemetry:'NONE'});const g=r.games[0];console.log(JSON.stringify({keys:Object.keys(g),actionLen:g.actionTimeline?.length,first:g.actionTimeline?.slice?.(0,3)},null,2));",[],[1014],"19e7266f-7466-4cd3-b7ea-cc47757505af","inspect_oracle_trace_keys_v1.ts","f11e87f4-ab84-11f1-b849-1607ee4eb77e",141,["D",1788872289404],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:[110001],scenarioTelemetry:'FULL',oracleActionTelemetry:'FULL',legalTelemetry:'NONE'});\nconst g=r.games[0];\nconsole.log(JSON.stringify({status:'PASS',gameKeys:Object.keys(g),actionState:g.actionTelemetryEvidenceState,scenarioKeys:Object.keys(g.scenarioTrace?.[0]??{}),sampleAction:g.actionTrace?.[0]??g.oracleActionTrace?.[0]??g.refActionTrace?.[0]??null},null,2));",[],[1022],"43a3ef53-e9a7-4f41-8786-39681662e830","inspect_action_timeline_v1.ts","fd387158-ab84-11f1-9318-1607ee4eb77e",143,["D",1788872328340],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:[110003],scenarioTelemetry:'NONE',oracleActionTelemetry:'FULL',legalTelemetry:'NONE'});\nconst g=r.games[0];\nconsole.log(JSON.stringify({status:'PASS',actionState:g.actionTelemetryEvidenceState,len:g.actionTimeline?.length,sample:g.actionTimeline??[]},null,2));",[],[1030],"e8809458-501d-4a94-b1a0-cec757fbccd5","funding_execution_fixed_prestate_v11.ts","3b15b12e-ab4a-11f1-b4f6-1607ee4eb77e",82,["D",1788847166814],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst TARGETS=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py']; const STEPS=[288,576]; const SEED=107951; const CASH=[0,200,1000,5000];\nconst E=await loadOfficialKaggricultureEngine(); const rr=await fetch(DATASET); if(!rr.ok)throw new Error(`HTTP ${rr.status}`); const z=unzipSync(new Uint8Array(await rr.arrayBuffer())); const py=await loadPyodide(); py.runPython(`import json\\n_SRC={}\\n_REG={}`); for(const n of [...new Set([...TARGETS,'rotation_rosa.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\\ndef reset_ref(n):\\n _n={};exec(_SRC[n],_n);_REG[n]=_n['agent']\\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\\n`); const resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'); const call=(n:string,o:any)=>JSON.parse(String(callRef(n,JSON.stringify(o))));\nfunction pub(s:any,p:number,startCash:number){const f=structuredClone(s.farms[p]);const moneyDelta=Number(f.money)-startCash;delete f.money;return {moneyDelta,farmSansMoney:f,market:{prices:s.market.prices,inventory:s.market.inventory}}}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_PRESTATE_SAME_REQUEST_FUNDING_EXECUTION_V11',seed:SEED,steps:STEPS,cashGrid:CASH,targets:{},guardrails:['same natural prestate except target money','same exact requested actions across cash arms','official interpreter executes each arm','isolates execution/funding from policy request','raw opponent action offline teacher only','not champion proof']};\nfor(const target of TARGETS){const st:any={prestates:0,executionChanged:0,byStep:{},examples:[]};for(const step of STEPS)st.byStep[String(step)]={tested:0,changed:0};for(const seat of [0,1] as const){resetRef(target);resetRef('rotation_rosa.py');const cfg=E.state.resolveConfig({seed:SEED});let s=E.state.initGameState(2,cfg,SEED);while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),a=call(target,to),b=call('rotation_rosa.py',oo);if(STEPS.includes(Number(s.step))){st.prestates++;st.byStep[String(s.step)].tested++;const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;const arms:any[]=[];for(const c of CASH){const sc=structuredClone(s);sc.farms[seat].money=c;const sn=E.interpreter.step(sc,structuredClone(acts),cfg);arms.push({cash:c,next:pub(sn,seat,c)});}const unique=new Set(arms.map(x=>JSON.stringify(x.next))).size;if(unique>1){st.executionChanged++;st.byStep[String(s.step)].changed++;if(st.examples.length<20)st.examples.push({target,seat,step:s.step,day:s.day,hour:s.hour,naturalMoney:s.farms[seat].money,requestedMarket:a?.market??[],arms});}}const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)} }out.targets[target]=st;}\nout.status=Object.values(out.targets).some((x:any)=>x.executionChanged>0)?'PASS':'PARTIAL';console.log(JSON.stringify(out,null,2));",[],[1038],"fdb4edc3-e523-4a26-bc71-e6fece5c49ec","fixed_terminal_prev_market_path_v7.ts","dedd1ebc-ab47-11f1-a663-1607ee4eb77e",75,["D",1788846217440],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst TARGETS=['closer_cleo.py']; const ITEMS=['WHEAT','MILK']; const STEPS=[144,432]; const SEEDS=[107781];\nconst E=await loadOfficialKaggricultureEngine();const rr=await fetch(DATASET);if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));const py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}`);for(const n of [...new Set([...TARGETS,'rotation_rosa.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\ndef reset_ref(n):\n _n={};exec(_SRC[n],_n);_REG[n]=_n['agent']\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\ndef call_replay(n,hist,p):\n _n={};exec(_SRC[n],_n);a=_n['agent']\n for x in json.loads(hist):a(x)\n return json.dumps(a(json.loads(p)),sort_keys=True)\n`);const resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callReplay=py.globals.get('call_replay');const call=(n:string,o:any)=>JSON.parse(String(callRef(n,JSON.stringify(o)))),replay=(n:string,h:any[],o:any)=>JSON.parse(String(callReplay(n,JSON.stringify(h),JSON.stringify(o)))),sig=(a:any)=>JSON.stringify(a);\nfunction setPrice(o:any,item:string,m:number){const x=structuredClone(o),v=Number(x.market?.prices?.[item]);x.market.prices[item]=Math.max(1,Math.round(v*m));return x}function setInv(o:any,item:string,d:number){const x=structuredClone(o),v=Number(x.market?.inventory?.[item]);x.market.inventory[item]=Math.max(0,Math.round(v+d));return x}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_TERMINAL_PREVIOUS_MARKET_PATH_V7',seeds:SEEDS,steps:STEPS,items:ITEMS,targets:{},guardrails:['only previous legal public market observation differs','terminal observable snapshot identical','price/inventory varied separately','raw action offline only','not champion proof']};\nfor(const target of TARGETS){const st:any={tests:0,priceLag1Diff:0,inventoryLag1Diff:0,byItem:{},byStep:{},examples:[]};for(const item of ITEMS)st.byItem[item]={price:0,inventory:0,tests:0};for(const step of STEPS)st.byStep[String(step)]={price:0,inventory:0,tests:0};for(const seed of SEEDS)for(const seat of [0,1] as const){resetRef(target);resetRef('rotation_rosa.py');const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed),hist:any[]=[];while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),a=call(target,to),b=call('rotation_rosa.py',oo);hist.push(structuredClone(to));const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}for(const step of STEPS){if(step+1>=hist.length)continue;const pre=hist.slice(0,step),prev=hist[step],terminal=hist[step+1];for(const item of ITEMS){st.tests++;st.byItem[item].tests++;st.byStep[String(step)].tests++;const hpLo=[...pre,setPrice(prev,item,0.5)],hpHi=[...pre,setPrice(prev,item,2)],aPLo=replay(target,hpLo,terminal),aPHi=replay(target,hpHi,terminal);if(sig(aPLo)!==sig(aPHi)){st.priceLag1Diff++;st.byItem[item].price++;st.byStep[String(step)].price++;if(st.examples.length<20)st.examples.push({target,seed,seat,step,item,kind:'PRICE',lo:aPLo?.market??[],hi:aPHi?.market??[]})}const hiLo=[...pre,setInv(prev,item,-1000)],hiHi=[...pre,setInv(prev,item,1000)],aILo=replay(target,hiLo,terminal),aIHi=replay(target,hiHi,terminal);if(sig(aILo)!==sig(aIHi)){st.inventoryLag1Diff++;st.byItem[item].inventory++;st.byStep[String(step)].inventory++;if(st.examples.length<20)st.examples.push({target,seed,seat,step,item,kind:'INVENTORY',lo:aILo?.market??[],hi:aIHi?.market??[]})}}}}out.targets[target]=st;}\nout.controls={reducedRuntimeDiscriminant:true};out.status='PASS';console.log(JSON.stringify(out,null,2));",[],[1046],"5870645e-d10f-4a40-a5af-4c445624cb6a","fixed_terminal_market_segment_path_v8.ts","be3a0e84-ab49-11f1-a9ec-1607ee4eb77e",76,["D",1788846863738],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst TARGETS=['closer_cleo.py','broker_bea.py']; const ITEMS=['WHEAT','MILK']; const SEED=107881; const TERMINAL_STEP=288; const SEGMENT=6;\nconst E=await loadOfficialKaggricultureEngine(); const rr=await fetch(DATASET); if(!rr.ok)throw new Error(`HTTP ${rr.status}`); const z=unzipSync(new Uint8Array(await rr.arrayBuffer())); const py=await loadPyodide();\npy.runPython(`import json\\n_SRC={}\\n_REG={}`); for(const n of [...new Set([...TARGETS,'rotation_rosa.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\ndef reset_ref(n):\\n _n={};exec(_SRC[n],_n);_REG[n]=_n['agent']\\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\\ndef call_replay(n,hist,p):\\n _n={};exec(_SRC[n],_n);a=_n['agent']\\n for x in json.loads(hist):a(x)\\n return json.dumps(a(json.loads(p)),sort_keys=True)\\n`);\nconst resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callReplay=py.globals.get('call_replay'); const call=(n:string,o:any)=>JSON.parse(String(callRef(n,JSON.stringify(o)))), replay=(n:string,h:any[],o:any)=>JSON.parse(String(callReplay(n,JSON.stringify(h),JSON.stringify(o)))), sig=(a:any)=>JSON.stringify(a);\nfunction setPrice(o:any,item:string,m:number){const x=structuredClone(o),v=Number(x.market?.prices?.[item]);x.market.prices[item]=Math.max(1,Math.round(v*m));return x}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_TERMINAL_MARKET_SEGMENT_PATH_V8',seed:SEED,terminalStep:TERMINAL_STEP,segmentLength:SEGMENT,items:ITEMS,targets:{},guardrails:['terminal legal observable snapshot identical','only six immediately preceding legal public price observations differ','treatment-fired detector required before interpreting terminal null','raw action used offline only','not champion proof']};\nfor(const target of TARGETS){const st:any={worlds:0,tests:0,treatmentFiredTests:0,terminalDiffs:0,byItem:{},examples:[]};for(const item of ITEMS)st.byItem[item]={tests:0,fired:0,terminalDiff:0};for(const seat of [0,1] as const){resetRef(target);resetRef('rotation_rosa.py');const cfg=E.state.resolveConfig({seed:SEED});let s=E.state.initGameState(2,cfg,SEED),hist:any[]=[];while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),a=call(target,to),b=call('rotation_rosa.py',oo);hist.push(structuredClone(to));const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}st.worlds++;const start=TERMINAL_STEP-SEGMENT;if(start<0||TERMINAL_STEP>=hist.length)continue;const prefix=hist.slice(0,start),seg=hist.slice(start,TERMINAL_STEP),terminal=hist[TERMINAL_STEP];for(const item of ITEMS){st.tests++;st.byItem[item].tests++;const loSeg=seg.map((o:any)=>setPrice(o,item,0.5)),hiSeg=seg.map((o:any)=>setPrice(o,item,2));let fired=false;for(let j=0;jx.treatmentFiredTests>0)};out.status=out.controls.treatmentFiredAny?'PASS':'PARTIAL';console.log(JSON.stringify(out,null,2));",[],[1054],"5ab37645-9ab0-4116-8507-b753def6ccc7","fixed_terminal_history_cash_path_v6.ts","63fb63ca-ab47-11f1-b919-1607ee4eb77e",72,["D",1788845994409],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst TARGETS=['closer_cleo.py','broker_bea.py'];\nconst SEEDS=[107711,107723,107737];\nconst TREAT_STEP=144, LAGS=[1,2,6,24,72];\nconst E=await loadOfficialKaggricultureEngine(); const rr=await fetch(DATASET); if(!rr.ok)throw new Error(`HTTP ${rr.status}`); const z=unzipSync(new Uint8Array(await rr.arrayBuffer())); const py=await loadPyodide();\npy.runPython(`import json\\n_SRC={}\\n_REG={}`); for(const n of [...new Set([...TARGETS,'rotation_rosa.py','rancher_rita.py'])]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`\ndef reset_ref(n):\n _n={};exec(_SRC[n],_n);_REG[n]=_n['agent']\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\ndef call_replay(n,hist,p):\n _n={};exec(_SRC[n],_n);a=_n['agent']\n for x in json.loads(hist):a(x)\n return json.dumps(a(json.loads(p)),sort_keys=True)\n`);\nconst resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callReplay=py.globals.get('call_replay'); const call=(n:string,o:any)=>JSON.parse(String(callRef(n,JSON.stringify(o)))), replay=(n:string,h:any[],o:any)=>JSON.parse(String(callReplay(n,JSON.stringify(h),JSON.stringify(o)))), sig=(a:any)=>JSON.stringify(a);\nfunction setOurCash(o:any,c:number){const x=structuredClone(o),oi=1-Number(x.player);x.farms[oi].money=c;return x}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_FIXED_TERMINAL_HISTORY_CASH_PATH_V6',treatmentStep:TREAT_STEP,lags:LAGS,seeds:SEEDS,targets:{},guardrails:['terminal legal observable snapshot identical across history arms','only one past legal observation field changed: our public cash 199 vs 200','subsequent replay observations identical natural legal history','raw output used offline treatment detector only','not champion proof']};\nfor(const target of TARGETS){const other=target==='rotation_rosa.py'?'rancher_rita.py':'rotation_rosa.py';const st:any={worlds:0,immediateFired:0,conditionalWorlds:0,lagDiffs:{},unconditionalLagDiffs:{},examples:[]};for(const l of LAGS){st.lagDiffs[String(l)]={tested:0,diff:0};st.unconditionalLagDiffs[String(l)]={tested:0,diff:0}}\n for(const seed of SEEDS)for(const seat of [0,1] as const){resetRef(target);resetRef(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed),obsHist:any[]=[];while(!s.done){const to=observationFor(s,seat),oo=observationFor(s,1-seat),a=call(target,to),b=call(other,oo);obsHist.push(structuredClone(to));const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}st.worlds++; if(obsHist.length<=TREAT_STEP)continue; const pre=obsHist.slice(0,TREAT_STEP), treatNatural=obsHist[TREAT_STEP],loTreat=setOurCash(treatNatural,199),hiTreat=setOurCash(treatNatural,200);const aLoNow=replay(target,pre,loTreat),aHiNow=replay(target,pre,hiTreat),fired=sig(aLoNow)!==sig(aHiNow);if(fired)st.immediateFired++; const hLoBase=[...pre,loTreat],hHiBase=[...pre,hiTreat];\n for(const lag of LAGS){const targetStep=TREAT_STEP+lag;if(targetStep>=obsHist.length)continue;const tail=obsHist.slice(TREAT_STEP+1,targetStep);const hLo=[...hLoBase,...tail],hHi=[...hHiBase,...tail],terminal=obsHist[targetStep];const aLo=replay(target,hLo,terminal),aHi=replay(target,hHi,terminal),diff=sig(aLo)!==sig(aHi);st.unconditionalLagDiffs[String(lag)].tested++;if(diff)st.unconditionalLagDiffs[String(lag)].diff++;if(fired){st.lagDiffs[String(lag)].tested++;if(diff)st.lagDiffs[String(lag)].diff++;if(diff&&st.examples.length<20)st.examples.push({target,seed,seat,immediateFired:fired,lag,targetStep,day:terminal.day,hour:terminal.hour,loMarket:aLo?.market??[],hiMarket:aHi?.market??[]})}}\n } st.conditionalWorlds=st.immediateFired; out.targets[target]=st;}\nconst cleo=out.targets['closer_cleo.py'],broker=out.targets['broker_bea.py'];out.controls={brokerImmediatePositive:broker.immediateFired>0,brokerFutureStatelessNull:Object.values(broker.unconditionalLagDiffs).every((x:any)=>x.diff===0),cleoImmediateSupport:cleo.immediateFired>0};out.status=(out.controls.brokerImmediatePositive&&out.controls.brokerFutureStatelessNull)?'PASS':'PARTIAL';console.log(JSON.stringify(out,null,2));",[],[1062],"859528fc-fa84-4a75-920e-65b1094c5587","core_v21_behavior_signature.ts","01a07f0e-0e12-755c-8cf3-2003d2daa19a",["D",1788838022689],"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));",[],[1070],"5b019cd5-345f-43d8-8aca-2f7873dabaea","conversion_executed_rank_v2.ts","cbbc2c10-abec-11f1-8e8b-1607ee4eb77e",180,["D",1788916894334],"import { runAutolabJob,AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[112001,112013,112027,112039],targets=['broker_bea.py','rancher_rita.py'];\nconst ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nconst n=(x:any)=>Number(x??0)||0;\nfunction executedSells(s:any){const avail:any={};for(const item of ITEMS)avail[item]=n(s?.ownPrivate?.items?.[item]);const out:any={};for(const m of (s?.ourRequestedMarketOrder??[]).slice(0,10)){if(m?.op!=='SELL'||!ITEMS.includes(m?.item))continue;const item=m.item,q=Math.min(avail[item],Math.max(0,n(m.qty)));out[item]=(out[item]??0)+q;avail[item]-=q;}return out}\nfunction gameRows(g:any){const rows=[];for(const s of g.scenarioTrace??[]){if(n(s.day)<18||n(s.day)>=27)continue;const ex=executedSells(s),prices=s?.market?.prices??{};for(const item of ITEMS){const q=n(ex[item]);if(q>0)rows.push({item,q,value:q*n(prices[item]),price:n(prices[item]),day:n(s.day),step:n(s.step)});}}return rows}\nconst out:any={schema:'KAG_CONVERSION_EXECUTED_RANK_V2',core:AUTOLAB_CORE_VERSION,seeds,evidence_state:'FRESH_SELF_EXECUTED_FLOW_DIAGNOSTIC_NOT_CAUSAL_NOT_CHAMPION_PROOF',targets:{}};\nfor(const ref of targets){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE',legalTelemetry:'NONE'});const rows=r.games.flatMap(gameRows), by:any={};for(const item of ITEMS)by[item]={qty:0,value:0,rows:0};for(const x of rows){by[x.item].qty+=x.q;by[x.item].value+=x.value;by[x.item].rows++;}for(const item of ITEMS)by[item].avgRealizedPublicPrice=by[item].qty?by[item].value/by[item].qty:null;out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},byItem:by,totalExecutedQty:Object.values(by).reduce((s:any,x:any)=>s+x.qty,0),totalExecutedValue:Object.values(by).reduce((s:any,x:any)=>s+x.value,0)};}\nconst B=out.targets['broker_bea.py'].byItem,R=out.targets['rancher_rita.py'].byItem;out.brokerMinusRita=ITEMS.map(item=>({item,qty:B[item].qty-R[item].qty,value:B[item].value-R[item].value,avgPrice:(B[item].avgRealizedPublicPrice??0)-(R[item].avgRealizedPublicPrice??0)})).sort((a,b)=>Math.abs(b.value)-Math.abs(a.value));\nconsole.log(JSON.stringify(out,null,2));",[],[1077],"263040ea-f0d5-4d33-87be-9872c4b1303f","conversion_census_v1.ts","92b87fbc-ab84-11f1-baad-1607ee4eb77e",139,["D",1788872130884],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[109811,109823,109837,109849], targets=['broker_bea.py','rancher_rita.py'], windows=[[9,15],[18,27]] as const;\nconst ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nfunction addMap(dst:any,src:any,m=1){for(const [k,v] of Object.entries(src??{}))dst[k]=(dst[k]??0)+m*Number(v||0)}\nfunction summarize(g:any,a:number,b:number){const rows=(g.scenarioTrace??[]).filter((x:any)=>Number(x.day)>=a&&Number(x.day)summarize(g,a,b)), k=`D${a}_${b}`;const sum:any={games:xs.length,totalSellQty:0,requestedGrossValueProxy:0,sellQtyByItem:{},requestedValueByItem:{},meanPrivateShedByItem:{},meanMarketPriceByItem:{},meanPublicCropCount:0,meanPublicAnimalCount:0};for(const x of xs){sum.totalSellQty+=x.totalSellQty;sum.requestedGrossValueProxy+=x.requestedGrossValueProxy;addMap(sum.sellQtyByItem,x.sellQtyByItem);addMap(sum.requestedValueByItem,x.requestedValueByItem);addMap(sum.meanPrivateShedByItem,x.meanPrivateShedByItem);addMap(sum.meanMarketPriceByItem,x.meanMarketPriceByItem);sum.meanPublicCropCount+=x.meanPublicCropCount;sum.meanPublicAnimalCount+=x.meanPublicAnimalCount;}for(const item of ITEMS){sum.meanPrivateShedByItem[item]=(sum.meanPrivateShedByItem[item]??0)/xs.length;sum.meanMarketPriceByItem[item]=(sum.meanMarketPriceByItem[item]??0)/xs.length;}sum.meanPublicCropCount/=xs.length;sum.meanPublicAnimalCount/=xs.length;sum.sellWeightedPrice=sum.totalSellQty?sum.requestedGrossValueProxy/sum.totalSellQty:null;agg[k]=sum;}out.targets[ref]={wlt:{wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors},aggregate:agg};}\nfor(const k of ['D9_15','D18_27']){const b=out.targets['broker_bea.py'].aggregate[k],r=out.targets['rancher_rita.py'].aggregate[k];const byItem:any={};for(const item of ITEMS)byItem[item]={sellQty:b.sellQtyByItem[item]-r.sellQtyByItem[item],meanPrice:b.meanMarketPriceByItem[item]-r.meanMarketPriceByItem[item],meanPrivateShed:b.meanPrivateShedByItem[item]-r.meanPrivateShedByItem[item]};out.targets[`comparison_${k}`]={brokerMinusRita:{totalSellQty:b.totalSellQty-r.totalSellQty,requestedGrossValueProxy:b.requestedGrossValueProxy-r.requestedGrossValueProxy,sellWeightedPrice:b.sellWeightedPrice-r.sellWeightedPrice,meanPublicCropCount:b.meanPublicCropCount-r.meanPublicCropCount,meanPublicAnimalCount:b.meanPublicAnimalCount-r.meanPublicAnimalCount,byItem}};}\nconsole.log(JSON.stringify(out,null,2));",[],[1085],"6079be3f-3a8c-4ac3-bffd-939b6f3d7705","clone_support_decomp_v2.ts","c771e02a-ab86-11f1-bc41-1607ee4eb77e",150,["D",1788873100540],"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'],SEEDS=[110501,110513,110527];const ITEMS=['COW','SHEEP','GOOSE','WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','PASTURE','COOP','WEED'];\nfunction upd(s:number){return s===4||s===24||(s>=48&&s%24===0)}\nfunction counts(p:any,k:any){const a=p?.animalMix??{},c=p?.cropMix??{},kk=k??{};return{COW:+(a.COW??0),SHEEP:+(a.SHEEP??0),GOOSE:+(a.GOOSE??0),WHEAT:+(c.WHEAT??0),CARROT:+(c.CARROT??0),TOMATO:+(c.TOMATO??0),STRAWBERRY:+(c.STRAWBERRY??0),MELON:+(c.MELON??0),PASTURE:Math.max(0,+(kk.PASTURE??p?.pastures??0)-(+a.COW||0)-(+a.SHEEP||0)),COOP:Math.max(0,+(kk.COOP??0)-(+a.GOOSE||0)),WEED:+(kk.WEED??0)}}\nfunction d(x:any){const a=counts(x.me,x.publicTileKinds?.me),b=counts(x.opp,x.publicTileKinds?.opp),by:any={};let item=0;for(const q of ITEMS){by[q]=Math.abs((a as any)[q]-(b as any)[q]);item+=by[q]}const hands=Math.abs(+(x.me?.hands??0)-+(x.opp?.hands??0)),land=3*Math.abs(+(x.me?.land??0)-+(x.opp?.land??0));return{lb:hands+land+item,hands,land,item,by,me:{hands:x.me?.hands,land:x.me?.land,counts:a},opp:{hands:x.opp?.hands,land:x.opp?.land,counts:b}}}\nconst out:any={status:'PASS',schema:'KAG_CLONE_SUPPORT_DECOMP_V2',evidence_state:'LEGAL_PUBLIC_NATURAL_SUPPORT_DISTANCE_DECOMPOSITION',core:AUTOLAB_CORE_VERSION,seeds:SEEDS,refs:{}};for(const ref of REFS){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds:SEEDS,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE'});const games:any[]=[];for(const g of r.games){let best:any=null;for(const x of g.scenarioTrace??[]){if(!upd(+x.step))continue;const z=d(x);if(!best||z.lba.lb-b.lb)[0];out.refs[ref]={wlt:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,minLB:Math.min(...games.map(x=>x.lb)),closest:global,perGame:games.map(x=>({seed:x.seed,seat:x.seat,minLB:x.lb,step:x.step,day:x.day,parts:{hands:x.hands,land:x.land,item:x.item},itemDiff:x.by}))};}console.log(JSON.stringify(out,null,2));",[],[1093],"a77d4497-e35b-4804-91e9-421624b00140","clone_natural_support_v1.ts","91c52c82-ab74-11f1-8433-1607ee4eb77e",119,["D",1788865304852],"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'],SEEDS=[109281,109293,109307];const ITEMS=['COW','SHEEP','GOOSE','WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','PASTURE','COOP','WEED'];\nfunction isUpdate(st:number){return st===4||st===24||(st>=48&&st%24===0)}\nfunction counts(p:any,k:any){const animal=p?.animalMix??{},crop=p?.cropMix??{},kinds=k??{},animals=Number(p?.animals??0);const coopTotal=Number(kinds.COOP??0),pastureTotal=Number(kinds.PASTURE??p?.pastures??0),goose=Number(animal.GOOSE??0);return{COW:Number(animal.COW??0),SHEEP:Number(animal.SHEEP??0),GOOSE:goose,WHEAT:Number(crop.WHEAT??0),CARROT:Number(crop.CARROT??0),TOMATO:Number(crop.TOMATO??0),STRAWBERRY:Number(crop.STRAWBERRY??0),MELON:Number(crop.MELON??0),PASTURE:Math.max(0,pastureTotal-(Number(animal.COW??0)+Number(animal.SHEEP??0))),COOP:Math.max(0,coopTotal-goose),WEED:Number(kinds.WEED??0),_animalTotal:animals}}\nfunction lowerBound(x:any){const a=counts(x.me,x.publicTileKinds?.me),b=counts(x.opp,x.publicTileKinds?.opp);let item=0;const by:any={};for(const q of ITEMS){by[q]=Math.abs(Number((a as any)[q]??0)-Number((b as any)[q]??0));item+=by[q]}const hands=Math.abs(Number(x.me?.hands??0)-Number(x.opp?.hands??0)),land=3*Math.abs(Number(x.me?.land??0)-Number(x.opp?.land??0));return{lb:hands+land+item,hands,land,item,by}}\nconst out:any={status:'PASS',evidenceState:'LEGAL_PUBLIC_CLONE_NATURAL_SUPPORT_UPPER_BOUND_V1',preregistration:'artifacts/kaggriculture/experiments/KAG_EXP_CLONE_NATURAL_SUPPORT_V1.md',core:AUTOLAB_CORE_VERSION,seeds:SEEDS,refs:{},controls:{games:0,updateRows:0,nonFinite:0,errors:0,gamesPossible:0},guardrails:['MIX11 unchanged','scenario telemetry legal public + own private but this audit uses only legal public fields','no opponent raw actions','distance omits actor-position mismatch so confidence estimate is an optimistic upper bound','not natural activation proof when upper bound reaches 2','no champion mutation']};\nfor(const ref of REFS){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds:SEEDS,scenarioTelemetry:'FULL',oracleActionTelemetry:'NONE'});const st:any={games:r.games.length,wlt:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,gamesPossible:0,maxConfidenceUpperBound:0,minLB:Infinity,updateRows:0,byGame:[],lbHistogram:{le1:0,twoTo4:0,gt4:0}};out.controls.errors+=Number(r.errors??0);for(const g of r.games){let cub=0,maxCub=0,minLB=Infinity,rows=0,le1=0,mid=0,gt=0;const examples:any[]=[];for(const x of g.scenarioTrace??[]){const step=Number(x.step);if(!isUpdate(step))continue;rows++;const d=lowerBound(x);if(!Number.isFinite(d.lb)){out.controls.nonFinite++;continue}minLB=Math.min(minLB,d.lb);if(d.lb<=1){cub=Math.min(8,cub+1);le1++;st.lbHistogram.le1++}else if(d.lb<=4){cub=Math.max(0,cub-1);mid++;st.lbHistogram.twoTo4++}else{cub=Math.max(0,cub-3);gt++;st.lbHistogram.gt4++}maxCub=Math.max(maxCub,cub);if(examples.length<8&&(d.lb<=4||step<=72))examples.push({step,day:x.day,hour:x.hour,lb:d.lb,cub,parts:{hands:d.hands,land:d.land,item:d.item},countDiff:d.by})}const possible=maxCub>=2;if(possible){st.gamesPossible++;out.controls.gamesPossible++}st.maxConfidenceUpperBound=Math.max(st.maxConfidenceUpperBound,maxCub);st.minLB=Math.min(st.minLB,minLB);st.updateRows+=rows;st.byGame.push({seed:g.seed,seat:g.ourSeat,margin:g.margin,updateRows:rows,minLB,maxConfidenceUpperBound:maxCub,possible,lbBands:{le1,between2and4:mid,gt4:gt},examples})}out.controls.games+=r.games.length;out.controls.updateRows+=st.updateRows;out.refs[ref]=st}\nout.classification=out.controls.gamesPossible===0?'NATURAL_SUPPORT_ABSENT_UPPER_BOUND':'NATURAL_SUPPORT_POSSIBLE';out.status=out.controls.errors===0&&out.controls.nonFinite===0&&out.controls.updateRows>0?'PASS':'FAIL';const compact:any={status:out.status,evidenceState:out.evidenceState,preregistration:out.preregistration,core:out.core,seeds:out.seeds,classification:out.classification,controls:out.controls,refs:{},guardrails:out.guardrails};for(const [k,v] of Object.entries(out.refs) as any)compact.refs[k]={games:v.games,wlt:v.wlt,avgMargin:v.avgMargin,gamesPossible:v.gamesPossible,maxConfidenceUpperBound:v.maxConfidenceUpperBound,minLB:v.minLB,updateRows:v.updateRows,lbHistogram:v.lbHistogram,byGame:v.byGame.map((g:any)=>({seed:g.seed,seat:g.seat,margin:g.margin,minLB:g.minLB,maxConfidenceUpperBound:g.maxConfidenceUpperBound,possible:g.possible,lbBands:g.lbBands}))};console.log(JSON.stringify(compact,null,2));",[],[1101],"47b32bf7-2d6a-4563-a994-ecbfab4de434","clone_history_opportunity_diag_v2.ts","ab1eee9e-ab73-11f1-b528-1607ee4eb77e",115,["D",1788864912533],"import { unzipSync,strFromU8 } from 'npm:fflate';import { loadPyodide } from 'npm:pyodide';import { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'],seed=109201;const r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');const z=unzipSync(new Uint8Array(await r.arrayBuffer())),py=await loadPyodide(),E=await loadOfficialKaggricultureEngine();py.runPython(`import json\\n_SRC={}\\n_BD={}\\n_REG={}`);for(const n of [...refs,'rotation_rosa.py']){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_d={};exec(src,_d);_REG[nm]=_d['agent']`)}py.runPython(`\\ndef reset_ref(n):\\n d={};exec(_SRC[n],d);_REG[n]=d['agent']\\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\\ndef init_b(k,n):\\n d={};exec(_SRC[n],d);_BD[k]=d\\ndef call_b(k,p):\\n d=_BD[k];a=d['agent'](json.loads(p));return json.dumps({'a':a,'conf':d.get('_CLONE_CONFIDENCE'),'last':d.get('_LAST_STEP')},sort_keys=True)\\n`);const reset=py.globals.get('reset_ref'),cr=py.globals.get('call_ref'),ib=py.globals.get('init_b'),cb=py.globals.get('call_b'),call=(n:string,o:any)=>JSON.parse(String(cr(n,JSON.stringify(o)))),bc=(k:string,o:any)=>JSON.parse(String(cb(k,JSON.stringify(o))));\nfunction updateStep(s:number){return s===4||s===24||(s>=48&&s%24===0)}function hi(o:any){const x=structuredClone(o),p=+x.player,src=x.farms[p],dst=x.farms[1-p];for(const k of ['tiles','farmer','hands','unlocked_quadrants'])dst[k]=structuredClone(src[k]);return x}function lo(o:any){const x=structuredClone(o),p=+x.player,d=x.farms[1-p];d.hands=Array.from({length:20},()=>[9,9]);d.farmer=[9,9];return x}\nconst out:any={status:'PASS',evidenceState:'OFFLINE_CLONE_PATH_OPPORTUNITY_DIAGNOSTIC_NOT_CONFIRMATORY',seed,refs:{},guardrail:'diagnostic after preregistered V1 PARTIAL; internal confidence read is teacher-only and nondeployable'};for(const ref of refs){reset(ref);reset('rotation_rosa.py');const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed),hist:any[]=[];while(!s.done){const a=call(ref,observationFor(s,0)),b=call('rotation_rosa.py',observationFor(s,1));hist.push(observationFor(s,0));s=E.interpreter.step(s,[a,b],cfg)}const kh=`${ref}:H`,kl=`${ref}:L`;ib(kh,ref);ib(kl,ref);let diffs=0,nonUpdateDiffs=0,confHighMax=0,confLowMax=0;const byDay:any={},examples:any[]=[];for(let st=0;stJSON.parse(String(callRef(n,JSON.stringify(o)))),bc=(k:string,o:any)=>JSON.parse(String(callBranch(k,JSON.stringify(o))));\nfunction cloneSignal(o:any){const x=structuredClone(o),p=Number(x.player),src=x.farms[p],dst=x.farms[1-p];for(const k of ['tiles','farmer','hands','unlocked_quadrants'])dst[k]=structuredClone(src[k]);return x}\nfunction farSignal(o:any){const x=structuredClone(o),p=Number(x.player),dst=x.farms[1-p];dst.hands=Array.from({length:20},()=>[9,9]);dst.farmer=[9,9];return x}\nfunction armObs(o:any,arm:'ZERO'|'ONE'|'TWO'){const st=Number(o.step);if(st!==4&&st!==24)return structuredClone(o);if(arm==='TWO')return cloneSignal(o);if(arm==='ONE'&&st===24)return cloneSignal(o);return farSignal(o)}\nconst sig=(x:any)=>JSON.stringify(x);function qSummary(a:any){const m=a?.market??[];return{n:m.length,saturated:m.length>=10,ops:m.map((q:any)=>Array.isArray(q)?String(q[0]):'UNKNOWN'),premiumSells:m.filter((q:any)=>Array.isArray(q)&&q[0]==='SELL'&&PREMIUM.has(String(q[1]))).map((q:any)=>[q[1],Number(q[2]??0)]),market:m}}\nfunction canonOrders(a:any){return (a?.market??[]).map((q:any)=>JSON.stringify(q)).sort().join('|')}\nfunction econ(s0:any,s1:any,p:number){const inv:any={},price:any={};for(const item of ['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER']){inv[item]=Number(s1.market.inventory[item])-Number(s0.market.inventory[item]);price[item]=Number(s1.market.prices[item])-Number(s0.market.prices[item])}return{targetCashDelta:Number(s1.farms[p].money)-Number(s0.farms[p].money),otherCashDelta:Number(s1.farms[1-p].money)-Number(s0.farms[1-p].money),inventoryDelta:inv,priceDelta:price}}\nfunction stepWith(st:any,p:number,a:any,b:any,cash?:number){const sc=structuredClone(st);if(cash!==undefined)sc.farms[p].money=cash;const acts:any[]=[];acts[p]=structuredClone(a);acts[1-p]=structuredClone(b);const nx=E.interpreter.step(sc,acts,E.state.resolveConfig({seed:Number(st.seed??0)}));return{base:sc,next:nx}}\nconst out:any={status:'PASS',evidenceState:'FIXED_HISTORY_CLONE_THRESHOLD_BLACKBOX_V1',preregistration:'KAG_EXP_CLONE_HISTORY_FRONTRUN_V1.md',seeds:SEEDS,window:[START,END],targets:{},guardrails:['terminal current observation identical across arms','only historical public farm signature differs at steps 4/24','ZERO/ONE/TWO dose control','raw target action teacher-only','official interpreter immediate consequence','low-cash 200 funding interaction is mechanism-only','no champion/policy mutation']};\nlet topFired=0,weakFired=0,thresholdSpecific=0,terminalInvariantFailures=0,runtimeErrors=0;\nfor(const target of [...TOP,...WEAK]){const other=target==='rotation_rosa.py'?'homestead_hana.py':'rotation_rosa.py',stt:any={worlds:0,tested:0,fired:0,oneDiff:0,thresholdSpecific:0,multisetChanged:0,orderOnlyChanged:0,naturalEconomicEffect:0,lowCashFundingEffect:0,bySeed:{},examples:[]};for(const seed of SEEDS){stt.bySeed[seed]={tested:0,fired:0,thresholdSpecific:0};for(const seat of [0,1] as const){resetRef(target);resetRef(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);const hist:any[]=[],states=new Map(),otherActs=new Map();while(!s.done&&Number(s.step)<=END){const to=observationFor(s,seat),oo=observationFor(s,1-seat);let a:any,b:any;try{a=call(target,to);b=call(other,oo)}catch{runtimeErrors++;a={farmer:['PASS'],hands:[],market:[]};b={farmer:['PASS'],hands:[],market:[]}}hist.push(structuredClone(to));if(Number(s.step)>=START){states.set(Number(s.step),structuredClone(s));otherActs.set(Number(s.step),structuredClone(b))}const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}stt.worlds++;const keys:any={};for(const arm of ['ZERO','ONE','TWO'] as const){const k=`${target}:${seed}:${seat}:${arm}`;keys[arm]=k;initBranch(k,target)}const actions:any={ZERO:new Map(),ONE:new Map(),TWO:new Map()};for(let step=0;step<=END&&step=START)actions[arm].set(step,a)}}for(let step=START;step<=END&&step0&&weakFired===0&&thresholdSpecific>0&&terminalInvariantFailures===0&&runtimeErrors===0?'PASS':weakFired>0||terminalInvariantFailures>0||runtimeErrors>0?'FAIL':'PARTIAL';console.log(JSON.stringify(out,null,2));",[],[1117],"95a2fbc5-908c-4003-ad7b-fd23d47e2674","clone_history_front_run_d12_v2.ts","195176d4-ab74-11f1-a32b-1607ee4eb77e",117,["D",1788865123894],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from './lib/kaggriculture_engine_loader.ts';\nconst DATA='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst POS=['broker_bea.py','ledger_lena.py','slotter_silas.py'],CTX=['closer_cleo.py'],NEG=['rotation_rosa.py','homestead_hana.py','melon_mateo.py'];const TARGETS=[...POS,...CTX,...NEG],SEEDS=[109241,109253,109267],START=289,END=311,PREMIUM=new Set(['MELON','STRAWBERRY','MILK','WOOL']),ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nconst E=await loadOfficialKaggricultureEngine(),rr=await fetch(DATA);if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}\\n_BR={}`);for(const n of [...new Set(TARGETS)]){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_d={};exec(src,_d);_REG[nm]=_d['agent']`)}\npy.runPython(`\\ndef reset_ref(n):\\n d={};exec(_SRC[n],d);_REG[n]=d['agent']\\ndef call_ref(n,p):return json.dumps(_REG[n](json.loads(p)),sort_keys=True)\\ndef init_branch(k,n):\\n d={};exec(_SRC[n],d);_BR[k]=d['agent']\\ndef call_branch(k,p):return json.dumps(_BR[k](json.loads(p)),sort_keys=True)\\n`);const reset=py.globals.get('reset_ref'),cr=py.globals.get('call_ref'),ib=py.globals.get('init_branch'),cb=py.globals.get('call_branch'),call=(n:string,o:any)=>JSON.parse(String(cr(n,JSON.stringify(o)))),bcall=(k:string,o:any)=>JSON.parse(String(cb(k,JSON.stringify(o))));\nfunction isUpdate(st:number){return st===4||st===24||(st>=48&&st%24===0)}\nfunction cloneSignal(o:any){const x=structuredClone(o),p=Number(x.player),src=x.farms[p],dst=x.farms[1-p];for(const k of ['tiles','farmer','hands','unlocked_quadrants'])dst[k]=structuredClone(src[k]);return x}\nfunction farSignal(o:any){const x=structuredClone(o),p=Number(x.player),dst=x.farms[1-p];dst.tiles=Array.from({length:10},()=>Array(10).fill(null));dst.farmer=[0,0];dst.hands=[];dst.unlocked_quadrants=[0];return x}\nfunction histObs(o:any,arm:'ZERO'|'ONE'|'TWO'){const st=Number(o.step);if(!isUpdate(st)||st>288)return structuredClone(o);if(st<264)return farSignal(o);if(st===264)return arm==='TWO'?cloneSignal(o):farSignal(o);if(st===288)return arm==='ZERO'?farSignal(o):cloneSignal(o);return structuredClone(o)}\nconst sig=(x:any)=>JSON.stringify(x),isSpend=(q:any)=>Array.isArray(q)&&['HIRE','BUY_SEED','BUY_PRODUCT','BUY_LAND','BUY_ANIMAL'].includes(String(q[0]));\nfunction marketClass(a0:any,a2:any){const m0=a0?.market??[],m2=a2?.market??[],canon=(m:any[])=>m.map(q=>JSON.stringify(q)).sort().join('|'),premium=(m:any[])=>m.filter(q=>Array.isArray(q)&&q[0]==='SELL'&&PREMIUM.has(String(q[1]))).map(q=>`${q[1]}:${q[2]}`).sort();const multisetChanged=canon(m0)!==canon(m2),orderChanged=!multisetChanged&&JSON.stringify(m0)!==JSON.stringify(m2),p0=premium(m0),p2=premium(m2),premiumChanged=JSON.stringify(p0)!==JSON.stringify(p2),firstPremium=m2.findIndex((q:any)=>Array.isArray(q)&&q[0]==='SELL'&&PREMIUM.has(String(q[1]))),firstSpend=m2.findIndex(isSpend);return{kind:premiumChanged?'PREMIUM_SELL_DELTA':multisetChanged?'OTHER_MARKET_MULTISET_DELTA':orderChanged?'PURE_ORDER_SLOT_DELTA':'OTHER_UNEXPLAINED',multisetChanged,orderChanged,premiumChanged,premium0:p0,premium2:p2,twoPremiumBeforeSpend:firstPremium>=0&&firstSpend>=0&&firstPremium=10||m2.length>=10}}\nfunction econ(base:any,next:any,p:number){const inv:any={},price:any={};for(const item of ITEMS){inv[item]=Number(next.market?.inventory?.[item]??0)-Number(base.market?.inventory?.[item]??0);price[item]=Number(next.market?.prices?.[item]??0)-Number(base.market?.prices?.[item]??0)}return{targetCashDelta:Number(next.farms[p]?.money??0)-Number(base.farms[p]?.money??0),otherCashDelta:Number(next.farms[1-p]?.money??0)-Number(base.farms[1-p]?.money??0),inventoryDelta:inv,priceDelta:price}}\nconst out:any={status:'PARTIAL',evidenceState:'CONFIRMATORY_FIXED_HISTORY_D12_BLACKBOX_CAUSAL_V2',preregistration:'artifacts/kaggriculture/experiments/KAG_EXP_CLONE_HISTORY_D12_V2.md',seeds:SEEDS,window:[START,END],targets:{},controls:{terminalInvariantFailures:0,runtimeErrors:0,weakFired:0,thresholdSpecific:0},guardrails:['fresh worlds and mirrored seats','all pre-264 update checkpoints FAR in every arm','ZERO=FAR/FAR, ONE=FAR/CLONE, TWO=CLONE/CLONE at 264/288','same natural observation after 288 including terminal','raw target action teacher-only','official interpreter immediate consequence','cash200 interaction mechanism-only','no policy/champion mutation']};\nfor(const target of TARGETS){const other=target==='rotation_rosa.py'?'homestead_hana.py':'rotation_rosa.py',stt:any={worlds:0,tested:0,fired:0,oneDiff:0,thresholdSpecific:0,premiumSellDelta:0,otherMultisetDelta:0,pureOrderDelta:0,unexplained:0,naturalEconomicEffect:0,lowCashFundingEffect:0,premiumBeforeSpend:0,saturatedFired:0,bySeed:{},examples:[]};for(const seed of SEEDS){stt.bySeed[seed]={tested:0,fired:0,thresholdSpecific:0};for(const seat of [0,1] as const){reset(target);reset(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);const hist:any[]=[],states=new Map(),otherActs=new Map();while(!s.done&&Number(s.step)<=END){const to=observationFor(s,seat),oo=observationFor(s,1-seat);let a:any,b:any;try{a=call(target,to);b=call(other,oo)}catch{out.controls.runtimeErrors++;a={farmer:['PASS'],hands:[],market:[]};b={farmer:['PASS'],hands:[],market:[]}}hist.push(structuredClone(to));if(Number(s.step)>=START){states.set(Number(s.step),structuredClone(s));otherActs.set(Number(s.step),structuredClone(b))}const acts:any[]=[];acts[seat]=a;acts[1-seat]=b;s=E.interpreter.step(s,acts,cfg)}stt.worlds++;const keys:any={};for(const arm of ['ZERO','ONE','TWO'] as const){const k=`${target}:${seed}:${seat}:${arm}`;keys[arm]=k;ib(k,target)}const actions:any={ZERO:new Map(),ONE:new Map(),TWO:new Map()};for(let step=0;step<=END&&step=START)actions[arm].set(step,a)}}for(let step=START;step<=END&&stepout.targets[x]?.fired>0),integrity=out.controls.terminalInvariantFailures===0&&out.controls.runtimeErrors===0,negPass=out.controls.weakFired===0,thresholdPass=out.controls.thresholdSpecific>0;out.status=posPass&&integrity&&negPass&&thresholdPass?'CONFIRMATORY_PASS':(!integrity||!negPass)?'FAIL':'PARTIAL';const compact:any={status:out.status,evidenceState:out.evidenceState,preregistration:out.preregistration,seeds:out.seeds,window:out.window,controls:out.controls,targets:{},guardrails:out.guardrails};for(const [k,v] of Object.entries(out.targets) as any)compact.targets[k]={worlds:v.worlds,tested:v.tested,fired:v.fired,oneDiff:v.oneDiff,thresholdSpecific:v.thresholdSpecific,premiumSellDelta:v.premiumSellDelta,otherMultisetDelta:v.otherMultisetDelta,pureOrderDelta:v.pureOrderDelta,unexplained:v.unexplained,naturalEconomicEffect:v.naturalEconomicEffect,lowCashFundingEffect:v.lowCashFundingEffect,premiumBeforeSpend:v.premiumBeforeSpend,saturatedFired:v.saturatedFired,bySeed:v.bySeed,examples:(v.examples??[]).slice(0,2).map((e:any)=>({seed:e.seed,seat:e.seat,step:e.step,day:e.day,hour:e.hour,thresholdSpecific:e.thresholdSpecific,class:{kind:e.class?.kind,premium0:e.class?.premium0,premium2:e.class?.premium2,twoPremiumBeforeSpend:e.class?.twoPremiumBeforeSpend,zeroLen:e.class?.zeroLen,twoLen:e.class?.twoLen,saturated:e.class?.saturated},naturalEconomicEffect:e.naturalEconomicEffect,lowCashFundingEffect:e.lowCashFundingEffect,naturalCash:{zero:e.natural?.zero?.targetCashDelta,two:e.natural?.two?.targetCashDelta}}))};console.log(JSON.stringify(compact,null,2));",[],[1125],"e6ea7bbd-8fa1-4085-b2bf-58cb40813b30","cleo_capacity_control_v21.ts","19b822e2-ab4e-11f1-a976-1607ee4eb77e",101,["D",1788848735222],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst seeds=[108501,108513,108527];\nconst r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'closer_cleo.py',seeds});\nconst days=[3,6,9,12];\nconst avg=(xs:number[])=>xs.reduce((a,b)=>a+b,0)/(xs.length||1);\nconst out:any={status:'PASS',evidenceState:'CLEO_CAPACITY_CONTROL_V21',seeds,wlt:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,days:{}};\nfor(const d of days){const rows=r.games.map((g:any)=>g.timeline.find((x:any)=>x.day===d));const keys=(fld:string)=>[...new Set(rows.flatMap((x:any)=>Object.keys(x.ref?.[fld]??{})))];const map=(fld:string)=>Object.fromEntries(keys(fld).map(k=>[k,avg(rows.map((x:any)=>Number(x.ref?.[fld]?.[k]??0)))]));out.days[d]={cash:avg(rows.map((x:any)=>x.ref.cash)),land:avg(rows.map((x:any)=>x.ref.land)),crops:avg(rows.map((x:any)=>x.ref.crops)),animals:avg(rows.map((x:any)=>x.ref.animals)),cropMix:map('cropMix'),animalMix:map('animalMix')}}\nconsole.log(JSON.stringify(out,null,2));",[],[1133],"bf43f9fa-299b-416f-ab16-869b8ddfeaf8","broker_policy_probe_v1.ts","d4130810-ab3e-11f1-9144-1607ee4eb77e",50,["D",1788842175931],"import { unzipSync,strFromU8 } from 'npm:fflate';import { loadPyodide } from 'npm:pyodide';const r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer())),py=await loadPyodide();py.globals.set('src',strFromU8(z['broker_bea.py']));py.runPython(`import json\\n_d={}\\nexec(src,_d)\\nout={}\\nfor k,v in _d.items():\\n if k.startswith('__'): continue\\n if k in ['POLICY','_PROMOTE_IF_OPP_MONEY','SELLS_FIRST'] or isinstance(v,(int,float,str,bool,dict,list,tuple)):\\n try: json.dumps(v); out[k]=v\\n except: pass\\nres=json.dumps(out,default=str)`);console.log(String(py.globals.get('res')));",[],[1141],"478d2b8d-f62b-46a2-a0a2-a693d87de6cb","broker_labor_d9_15_fresh_heldout_v1.ts","81bbb5b6-ab71-11f1-9078-1607ee4eb77e",105,["D",1788863942128],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[106293,106307,106321,106333],ref='broker_bea.py',variants=['MIX11','LABOR9_D9_15','LABOR10_D9_15'];const runs:any={};for(const variant of variants)runs[variant]=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds});\nconst base=new Map(runs.MIX11.games.map((g:any)=>[`${g.seed}:${g.ourSeat}`,g]));const out:any={};const med=(a:number[])=>{const b=[...a].sort((x,y)=>x-y),n=b.length;return n%2?b[(n-1)/2]:(b[n/2-1]+b[n/2])/2};for(const variant of variants){const r=runs[variant],pairs=r.games.map((g:any)=>{const b:any=base.get(`${g.seed}:${g.ourSeat}`),d=g.margin-b.margin;const at=(day:number,x:any)=>(x.timeline??[]).find((q:any)=>+q.day===day);return{seed:g.seed,seat:g.ourSeat,margin:g.margin,delta:d,D15Gap:(at(15,g)?.ours?.cash??0)-(at(15,g)?.ref?.cash??0),D18Gap:(at(18,g)?.ours?.cash??0)-(at(18,g)?.ref?.cash??0),laborChecks:g.laborChecks,laborApplied:g.laborApplied,errors:g.errors}}),ds=pairs.map((x:any)=>x.delta);out[variant]={wlt:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,meanDelta:ds.reduce((a:number,b:number)=>a+b,0)/ds.length,medianDelta:med(ds),positive:ds.filter((x:number)=>x>0).length,negative:ds.filter((x:number)=>x<0).length,zero:ds.filter((x:number)=>x===0).length,minDelta:Math.min(...ds),maxDelta:Math.max(...ds),pairs}}\nconst pass=AUTOLAB_CORE_VERSION==='KAG_AUTOLAB_CORE_V26_HANDS_ONLY_PROBE'&&out.MIX11.pairs.every((x:any)=>x.laborApplied===0)&&out.LABOR9_D9_15.pairs.every((x:any)=>x.laborChecks===30&&x.laborApplied===6)&&out.LABOR10_D9_15.pairs.every((x:any)=>x.laborChecks===30&&x.laborApplied===6)&&variants.every(v=>out[v].pairs.every((x:any)=>x.errors===0));console.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'BROKER_HANDS_ONLY_D9_D15_FRESH_HELDOUT',core:AUTOLAB_CORE_VERSION,seeds,ref,out,decisionRule:'No promotion from this screen. If sign/mean fail to replicate, freeze hands-only D9-D15 as non-general.'},null,2));if(!pass)throw new Error('heldout treatment detector failed');",[],[1149],"6b15e521-1d45-4c36-b0e5-e3722b1bc7f3","broker_labor_d9_15_causal_screen_v2.ts","3b408620-ab3f-11f1-a385-1607ee4eb77e",104,["D",1788863907441],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[106263,106277],ref='broker_bea.py',variants=['MIX11','LABOR9_D9_15','LABOR10_D9_15','LABOR12_D9_15'];const runs:any={};for(const variant of variants)runs[variant]=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,scenarioTelemetry:'FULL'});\nconst base=new Map(runs.MIX11.games.map((g:any)=>[`${g.seed}:${g.ourSeat}`,g]));const out:any={};for(const variant of variants){const r=runs[variant],pairs=r.games.map((g:any)=>{const b:any=base.get(`${g.seed}:${g.ourSeat}`);const at=(day:number,x:any)=>(x.timeline??[]).find((q:any)=>+q.day===day);return{seed:g.seed,seat:g.ourSeat,margin:g.margin,deltaMargin:g.margin-b.margin,D9Gap:(at(9,g)?.ours?.cash??0)-(at(9,g)?.ref?.cash??0),D15Gap:(at(15,g)?.ours?.cash??0)-(at(15,g)?.ref?.cash??0),D18Gap:(at(18,g)?.ours?.cash??0)-(at(18,g)?.ref?.cash??0),laborChecks:g.laborChecks,laborApplied:g.laborApplied,laborTargetSum:g.laborTargetSum,errors:g.errors}});out[variant]={wlt:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,avgDeltaVsBase:pairs.reduce((a:any,x:any)=>a+x.deltaMargin,0)/pairs.length,pairs}}\nconst pass=AUTOLAB_CORE_VERSION==='KAG_AUTOLAB_CORE_V26_HANDS_ONLY_PROBE'&&out.MIX11.pairs.every((x:any)=>x.laborApplied===0)&&out.LABOR9_D9_15.pairs.every((x:any)=>x.laborChecks===30&&x.laborApplied===6)&&out.LABOR10_D9_15.pairs.every((x:any)=>x.laborChecks===30&&x.laborApplied===6)&&out.LABOR12_D9_15.pairs.every((x:any)=>x.laborChecks===30&&x.laborApplied===6)&&variants.every(v=>out[v].pairs.every((x:any)=>x.errors===0));console.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'BROKER_HANDS_ONLY_D9_D15_PAIRED_CAUSAL_SCREEN_V2',core:AUTOLAB_CORE_VERSION,seeds,ref,out},null,2));if(!pass)throw new Error('labor treatment detector failed');",[],[1157],"93bc4390-1e54-4d6c-92f3-b227b837880f","broker_labor_d9_15_causal_screen_v1.ts","152dea22-ab3f-11f1-b592-1607ee4eb77e",58,["D",1788842285164],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[106263,106277],ref='broker_bea.py',variants=['MIX11','LABOR10_D9_15','LABOR12_D9_15'];const runs:any={};\nfor(const variant of variants)runs[variant]=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,scenarioTelemetry:'FULL'});\nfunction byKey(r:any){return new Map(r.games.map((g:any)=>[`${g.seed}:${g.ourSeat}`,g]))}const base=byKey(runs.MIX11);const out:any={};for(const variant of variants){const r=runs[variant],pairs:any[]=[];for(const g of r.games){const b=base.get(`${g.seed}:${g.ourSeat}`);const d=(day:number,x:any)=>(x.timeline??[]).find((q:any)=>Number(q.day)===day);pairs.push({seed:g.seed,ourSeat:g.ourSeat,margin:g.margin,deltaMargin:b?g.margin-b.margin:0,D9Gap:(d(9,g)?.ours?.cash??0)-(d(9,g)?.ref?.cash??0),D15Gap:(d(15,g)?.ours?.cash??0)-(d(15,g)?.ref?.cash??0),D18Gap:(d(18,g)?.ours?.cash??0)-(d(18,g)?.ref?.cash??0),laborChecks:g.laborChecks,laborApplied:g.laborApplied,laborTargetSum:g.laborTargetSum,errors:g.errors})}out[variant]={wlt:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,avgDeltaVsBase:pairs.reduce((a,x)=>a+x.deltaMargin,0)/pairs.length,minDelta:Math.min(...pairs.map(x=>x.deltaMargin)),maxDelta:Math.max(...pairs.map(x=>x.deltaMargin)),treatment:{checks:[...new Set(pairs.map(x=>x.laborChecks))],applied:[...new Set(pairs.map(x=>x.laborApplied))],targetSum:[...new Set(pairs.map(x=>x.laborTargetSum))]},pairs}}\nconst pass=out.MIX11.pairs.every((x:any)=>x.laborApplied===0)&&out.LABOR10_D9_15.pairs.every((x:any)=>x.laborChecks===30&&x.laborApplied===6)&&out.LABOR12_D9_15.pairs.every((x:any)=>x.laborChecks===30&&x.laborApplied===6)&&variants.every(v=>out[v].pairs.every((x:any)=>x.errors===0));console.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'BROKER_HANDS_ONLY_D9_D15_PAIRED_CAUSAL_SCREEN',core:AUTOLAB_CORE_VERSION,seeds,ref,out,guardrail:'Hands-only bounded intervention. No build/land/crop policy mutation. Discovery screen only; no promotion.'},null,2));if(!pass)throw new Error('labor treatment detector failed');",[],[1165],"f215c806-37ae-4e1d-b120-6e7e64c6c1b0","broker_labor10_d9_15_fresh_v3.ts","af6bff46-ab4b-11f1-9982-1607ee4eb77e",93,["D",1788847697906],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[108301,108313,108327],ref='broker_bea.py',variants=['MIX11','LABOR10_D9_15'];const runs:any={};for(const variant of variants)runs[variant]=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,scenarioTelemetry:'FULL'});\nconst base=new Map(runs.MIX11.games.map((g:any)=>[`${g.seed}:${g.ourSeat}`,g]));const out:any={};for(const variant of variants){const r=runs[variant],pairs=r.games.map((g:any)=>{const b:any=base.get(`${g.seed}:${g.ourSeat}`);const at=(day:number,x:any)=>(x.timeline??[]).find((q:any)=>+q.day===day);return{seed:g.seed,seat:g.ourSeat,margin:g.margin,deltaMargin:g.margin-b.margin,D9Gap:(at(9,g)?.ours?.cash??0)-(at(9,g)?.ref?.cash??0),D15Gap:(at(15,g)?.ours?.cash??0)-(at(15,g)?.ref?.cash??0),D18Gap:(at(18,g)?.ours?.cash??0)-(at(18,g)?.ref?.cash??0),laborApplied:g.laborApplied,errors:g.errors}});const ds=pairs.map((x:any)=>x.deltaMargin);out[variant]={wlt:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,avgDeltaVsBase:ds.reduce((a:number,b:number)=>a+b,0)/ds.length,positiveDelta:ds.filter((x:number)=>x>0).length,negativeDelta:ds.filter((x:number)=>x<0).length,pairs};}\nconst pass=AUTOLAB_CORE_VERSION==='KAG_AUTOLAB_CORE_V26_HANDS_ONLY_PROBE'&&out.MIX11.pairs.every((x:any)=>x.laborApplied===0)&&out.LABOR10_D9_15.pairs.every((x:any)=>x.laborApplied===6)&&variants.every(v=>out[v].pairs.every((x:any)=>x.errors===0));console.log(JSON.stringify({status:pass?'PASS':'FAIL',evidenceState:'BROKER_HANDS10_D9_D15_FRESH_PAIRED_V3',core:AUTOLAB_CORE_VERSION,seeds,ref,out},null,2));if(!pass)throw new Error('labor treatment detector failed');",[],[1173],"d753a1ac-5c4e-4251-a42d-2b478d57783f","broker_fresh_state_equivalence_v1.ts","8d6ab47e-ab36-11f1-ba2b-1607ee4eb77e",14,["D",1788838621405],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './lib/kaggriculture_engine_loader.ts';\n\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst E=await loadOfficialKaggricultureEngine();\nconst rr=await fetch(DATASET);if(!rr.ok)throw new Error(`HTTP ${rr.status}`);\nconst z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_REG={}`);\nconst names=['broker_bea.py','rotation_rosa.py','rancher_rita.py','closer_cleo.py'];\nfor(const n of names){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`)}\npy.runPython(`def 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)),sort_keys=True)\\ndef call_fresh(n,p):\\n _n={}\\n exec(_SRC[n],_n)\\n return json.dumps(_n['agent'](json.loads(p)),sort_keys=True)`);\nconst resetRef=py.globals.get('reset_ref'),callRef=py.globals.get('call_ref'),callFresh=py.globals.get('call_fresh');\nconst call=(fn:any,n:string,o:any)=>String(fn(n,JSON.stringify(o)));\nconst parse=(s:string)=>JSON.parse(s);\nconst seeds=[100577,100609],others=['rotation_rosa.py','rancher_rita.py','closer_cleo.py'];\nconst stats:any={sampled:0,mismatch:0,byOther:{},byPhase:{}};const examples:any[]=[];\nconst phase=(d:number)=>d<6?'EARLY':d<18?'MID':d<27?'LATE':'CLOSING';\nfor(const other of others){stats.byOther[other]={sampled:0,mismatch:0};for(const seed of seeds){for(const brokerSeat of [0,1] as const){resetRef('broker_bea.py');resetRef(other);const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const bo=observationFor(s,brokerSeat),oo=observationFor(s,1-brokerSeat);const stateful=call(callRef,'broker_bea.py',bo);if(Number(s.hour)%6===0){const fresh=call(callFresh,'broker_bea.py',bo),ph=phase(Number(s.day));stats.sampled++;stats.byOther[other].sampled++;stats.byPhase[ph]=stats.byPhase[ph]??{sampled:0,mismatch:0};stats.byPhase[ph].sampled++;if(stateful!==fresh){stats.mismatch++;stats.byOther[other].mismatch++;stats.byPhase[ph].mismatch++;if(examples.length<20)examples.push({other,seed,brokerSeat,step:s.step,day:s.day,hour:s.hour,stateful:parse(stateful),fresh:parse(fresh)})}}const otherAct=parse(call(callRef,other,oo));const acts:any[]=[];acts[brokerSeat]=parse(stateful);acts[1-brokerSeat]=otherAct;s=E.interpreter.step(s,acts,cfg)}}}}\nconst status=stats.mismatch===0?'PASS':'PARTIAL';\nconsole.log(JSON.stringify({status,evidenceState:'BROKER_FRESH_VS_STATEFUL_ACTION_EQUIVALENCE_SAMPLE',sampleCadence:'hour%6==0',seeds,others,stats,examples},null,2));\nif(stats.mismatch!==0)throw new Error('fresh Broker source does not exactly match stateful action at sampled natural prestates');",[],[1181],"6269fc28-6348-4e44-a563-1d73c3e36bdb","broker_cash_context_probe_v1.ts","04785856-ab36-11f1-ab95-1607ee4eb77e",12,["D",1788838497934],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './lib/kaggriculture_engine_loader.ts';\n\nconst DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst E=await loadOfficialKaggricultureEngine();\nconst rr=await fetch(DATASET);\nif(!rr.ok) throw new Error(`HTTP ${rr.status}`);\nconst z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();\npy.runPython(`import json\\n_SRC={}\\n_REG={}`);\nconst names=['broker_bea.py','rotation_rosa.py','rancher_rita.py','closer_cleo.py'];\nfor(const n of names){\n py.globals.set('nm',n);\n py.globals.set('src',strFromU8(z[n]));\n py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`);\n}\npy.runPython(`def 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_fresh(n,p):\\n _n={}\\n exec(_SRC[n],_n)\\n return json.dumps(_n['agent'](json.loads(p)))`);\nconst resetRef=py.globals.get('reset_ref');\nconst callRef=py.globals.get('call_ref');\nconst callFresh=py.globals.get('call_fresh');\nconst call=(fn:any,n:string,o:any)=>JSON.parse(String(fn(n,JSON.stringify(o))));\n\nfunction phase(day:number){return day<6?'EARLY':day<18?'MID':day<27?'LATE':'CLOSING'}\nfunction shopCtx(o:any){\n const c:any={};\n for(const s of o.town?.unlocked_shops??[]) c[s]=(c[s]??0)+1;\n return {\n instances:Object.values(c).reduce((a:any,b:any)=>Number(a)+Number(b),0),\n maxMultiplicity:Math.max(0,...Object.values(c).map(Number)),\n duplicates:Object.values(c).some((n:any)=>Number(n)>1)\n };\n}\nfunction marketSig(a:any){return JSON.stringify(a?.market??[])}\nfunction wheatIndex(a:any){\n for(let i=0;i<(a?.market??[]).length;i++){\n const m=a.market[i];\n if(Array.isArray(m)&&m[0]==='SELL'&&m[1]==='WHEAT') return i;\n }\n return -1;\n}\nfunction summary(a:any){const m=a?.market??[];return{marketOps:m.length,wheatIndex:wheatIndex(a),first5:m.slice(0,5)}}\nfunction nextDigest(s:any,brokerSeat:0|1){return{\n brokerCash:Number(s.farms[brokerSeat]?.money??0),\n otherCash:Number(s.farms[1-brokerSeat]?.money??0),\n wheatPrice:Number(s.market?.prices?.WHEAT??0),\n wheatInventory:Number(s.market?.inventory?.WHEAT??0),\n day:Number(s.day??0),\n hour:Number(s.hour??0)\n}}\n\nconst seeds=[100577,100609];\nconst others=['rotation_rosa.py','rancher_rita.py','closer_cleo.py'];\nconst hits:any[]=[];\nconst stats:any={\n tested:0,actionDiff:0,wheatSlotDiff:0,nextStateDiff:0,\n byPhase:{},\n byDuplicate:{false:{tested:0,diff:0},true:{tested:0,diff:0}},\n byOther:{}\n};\n\nfor(const other of others){\n stats.byOther[other]={tested:0,diff:0,nextDiff:0};\n for(const seed of seeds){\n for(const brokerSeat of [0,1] as const){\n resetRef('broker_bea.py');\n resetRef(other);\n const cfg=E.state.resolveConfig({seed});\n let s=E.state.initGameState(2,cfg,seed);\n while(!s.done){\n const bObs=observationFor(s,brokerSeat);\n const oObs=observationFor(s,1-brokerSeat);\n const naturalBroker=call(callRef,'broker_bea.py',bObs);\n const otherAct=call(callRef,other,oObs);\n\n if(Number(s.hour)%6===0){\n const oi=1-Number(bObs.player);\n const lo=structuredClone(bObs),hi=structuredClone(bObs);\n lo.farms[oi].money=199;\n hi.farms[oi].money=200;\n const a199=call(callFresh,'broker_bea.py',lo);\n const a200=call(callFresh,'broker_bea.py',hi);\n const diff=marketSig(a199)!==marketSig(a200);\n const slotDiff=wheatIndex(a199)!==wheatIndex(a200);\n const sc=shopCtx(bObs),ph=phase(Number(s.day));\n\n stats.tested++;\n stats.byOther[other].tested++;\n stats.byDuplicate[String(sc.duplicates)].tested++;\n stats.byPhase[ph]=stats.byPhase[ph]??{tested:0,diff:0,nextDiff:0};\n stats.byPhase[ph].tested++;\n\n if(diff){\n stats.actionDiff++;\n stats.byOther[other].diff++;\n stats.byDuplicate[String(sc.duplicates)].diff++;\n stats.byPhase[ph].diff++;\n if(slotDiff) stats.wheatSlotDiff++;\n\n const acts199:any[]=[],acts200:any[]=[];\n acts199[brokerSeat]=a199; acts199[1-brokerSeat]=otherAct;\n acts200[brokerSeat]=a200; acts200[1-brokerSeat]=otherAct;\n const n199=E.interpreter.step(structuredClone(s),acts199,cfg);\n const n200=E.interpreter.step(structuredClone(s),acts200,cfg);\n const d199=nextDigest(n199,brokerSeat),d200=nextDigest(n200,brokerSeat);\n const nd=JSON.stringify(d199)!==JSON.stringify(d200);\n if(nd){\n stats.nextStateDiff++;\n stats.byOther[other].nextDiff++;\n stats.byPhase[ph].nextDiff++;\n }\n\n if(hits.length<40) hits.push({\n seed,brokerSeat,other,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),phase:ph,\n naturalOtherCash:Number(bObs.farms[oi]?.money??0),\n brokerCash:Number(bObs.farms[Number(bObs.player)]?.money??0),\n wheatPrice:Number(bObs.market?.prices?.WHEAT??0),\n wheatInventory:Number(bObs.market?.inventory?.WHEAT??0),\n brokerPrivateWheat:Number(bObs.private?.shed?.WHEAT??0),\n shops:sc,a199:summary(a199),a200:summary(a200),\n nextStateDiff:nd,next199:d199,next200:d200\n });\n }\n }\n\n const acts:any[]=[];\n acts[brokerSeat]=naturalBroker;\n acts[1-brokerSeat]=otherAct;\n s=E.interpreter.step(s,acts,cfg);\n }\n }\n }\n}\n\nconst rate=stats.tested?stats.actionDiff/stats.tested:0;\nconst nextRate=stats.actionDiff?stats.nextStateDiff/stats.actionDiff:0;\nconsole.log(JSON.stringify({\n status:stats.actionDiff>0?'PASS':'FAIL',\n evidenceState:'NATURAL_PRESTATE_STRATIFIED_FRESH_AGENT_DIRECT_CASH_TEACHER',\n engine:'official-loaded',\n seeds,others,sampleCadence:'hour%6==0',\n stats:{...stats,actionDiffRate:rate,nextStateDiffGivenActionDiff:nextRate},\n examples:hits\n},null,2));\nif(stats.actionDiff===0) throw new Error('no Broker cash-threshold responses found in scenario sample');",[],[1189],"070f45ba-e596-49f9-be89-12fa5c91f9ce","README.md","01a07f0e-0e12-755c-8cf3-1cb8e1e7b899",["D",1788838022689],"# 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 incorporated.\n",[],[1197],["D",1788838022689],[],[18,77],["D",1788838022689],[],[18,88],["D",1788838022689],[205,206],[18],"d184e527-1c42-4f33-8f23-4b6a687fe065","recover_b34_from_blob_v1.ts","01a07f0e-0e12-755c-8cf3-09ceae264a45","01a07f0e-0e12-755c-8cf3-0d519d336a83",["D",1788838022689],"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",[],[1220,1213],"maintenance","68e86d3b-e495-462b-8b75-04ace99acac7",["D",1788838022689],[203],[1220],"46e9ebfe-4dd0-47a5-9d8d-a7e484128ccf","kaggriculture_livestock_portfolio.ts","01a07f0e-0e12-755c-8cf3-00c79d269c1f","01a07f0e-0e12-755c-8cf3-0694640c3fcc",["D",1788838022689],"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",[],[1233,1226],"lib","9d03fa6e-95f7-4bca-b078-0d744754ecda","kaggriculture_engine_loader.ts","01a07f0e-0e12-755c-8cf2-ffd257637c49",["D",1788838022689],"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",[],[1233,1235],"deb5fdd0-e310-4059-85e2-685daaac760a","kag_autolab_core.ts","01a07f0e-0e12-755c-8cf2-f89ee50d5ee1",133,["D",1788870817919],"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_V27_PRIVATE_RESOURCE_LIFECYCLE';\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,hands:Array.isArray(f?.hands)?f.hands.length:0,hiresToday:+(f?.hires_today??0),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 tileKindHistogram(f:any){const out:any={};for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;const k=String(t.kind??(t.crop?'CROP':t.animal?'ANIMAL':'OTHER'));out[k]=(out[k]??0)+1}return out}\nfunction tileLifecycleFeature(f:any,day:number){const crops:any={},animals:any={};let weeds=0;for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;if(t.kind==='WEED'){weeds++;continue}if(t.kind==='PLANT'||t.crop){const c=String(t.crop??'UNKNOWN'),x=crops[c]??{count:0,yieldSum:0,yieldPositive:0,ageSum:0,waterStress:0,fertilized:0,finiteLifespan:0};x.count++;const y=Math.max(0,Number(t.yield_units??0)||0);x.yieldSum+=y;if(y>0)x.yieldPositive++;const pd=Number(t.planted_day);if(Number.isFinite(pd)&&pd>=0)x.ageSum+=Math.max(0,day-pd);x.waterStress+=Math.max(0,Number(t.consecutive_unwatered??0)||0);if(Number(t.fertilized_until_day??-1)>=day)x.fertilized++;if(Number(t.max_lifespan_step??-1)>=0)x.finiteLifespan++;crops[c]=x}else if(t.kind==='PASTURE'||t.animal){const a=String(t.animal??'UNKNOWN'),x=animals[a]??{count:0,yieldSum:0,ageSum:0,unfedStress:0,pendingCare:0,fertilizerAvailable:0};x.count++;x.yieldSum+=Math.max(0,Number(t.yield_units??0)||0);const pd=Number(t.placed_day);if(Number.isFinite(pd)&&pd>=0)x.ageSum+=Math.max(0,day-pd);x.unfedStress+=Math.max(0,Number(t.consecutive_unfed??0)||0);x.pendingCare+=Math.max(0,Number(t.pending_care_bonus??0)||0);if(t.fertilizer_available)x.fertilizerAvailable++;animals[a]=x}}for(const x of Object.values(crops) as any[]){x.meanAge=x.count?x.ageSum/x.count:0}for(const x of Object.values(animals) as any[]){x.meanAge=x.count?x.ageSum/x.count:0}return{crops,animals,weeds}}\nfunction ownPrivateScenario(o:any){const shed=o.private?.shed??{},seeds=o.private?.seeds??{},inventories=o.private?.inventories??[];let shedQty=0,inventoryQty=0;for(const v of Object.values(shed))shedQty+=Math.max(0,Number(v)||0);for(const inv of inventories??[])for(const v of Object.values(inv??{}))inventoryQty+=Math.max(0,Number(v)||0);let seedQty=0;for(const v of Object.values(seeds))seedQty+=Math.max(0,Number(v)||0);const items:any={};for(const item of ['WHEAT','MILK','WOOL','FERTILIZER','MELON','STRAWBERRY']){let q=Math.max(0,Number(shed?.[item]??0)||0);for(const inv of inventories??[])q+=Math.max(0,Number(inv?.[item]??0)||0);items[item]=q}return{shedQty,inventoryQty,seedQty,shedCapacity:100,shedUtilization:Math.min(1,shedQty/100),items}}\nfunction scenarioFeature(o:any,ourAct:any){const legal=legalObserverFeature(o),shops=legal.shops??[],counts:any={};for(const s of shops)counts[s]=(counts[s]??0)+1;const duplicateShopCount=Object.values(counts).filter((n:any)=>Number(n)>1).length,maxShopMultiplicity=Math.max(0,...Object.values(counts).map((n:any)=>Number(n)||0));const requestedMarketOps=Array.isArray(ourAct?.market)?ourAct.market.length:0,day=+o.day;return{...legal,ownPrivate:ownPrivateScenario(o),publicTileKinds:{me:tileKindHistogram(o.farms[+o.player]),opp:tileKindHistogram(o.farms[1-(+o.player)])},publicTileLifecycle:{me:tileLifecycleFeature(o.farms[+o.player],day),opp:tileLifecycleFeature(o.farms[1-(+o.player)],day)},townScenario:{shopCounts:counts,duplicateShopCount,maxShopMultiplicity},ourRequestedAction:actionSummary(ourAct),ourRequestedMarketOrder:(ourAct?.market??[]).map((m:any)=>Array.isArray(m)?{op:String(m[0]??'UNKNOWN'),item:String(m[1]??''),qty:Number(m[2]??1)||0}:{op:'UNKNOWN',item:'',qty:0}),marketOrderBudget:{limit:10,requested:requestedMarketOps,potentialDropped:Math.max(0,requestedMarketOps-10),saturated:requestedMarketOps>=10},horizon:{decisionIndex:+o.step,remainingDecisionCalls:Math.max(0,719-(+o.step)),phase:+o.day<6?'EARLY':+o.day<18?'MID':+o.day<27?'LATE':'CLOSING'}}}\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_ref_fresh(n,p):\\n _n={}\\n exec(_SRC[n],_n)\\n return json.dumps(_n['agent'](json.loads(p)))\\ndef call_dyn(p): return json.dumps(_D['agent'](json.loads(p)))\\ndef get_policy_value(k): return _D['POLICY'].get(k)\\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=='MIX11_ROUTE_PERSIST':_D['POLICY']['persistent_routing']=True\n if variant=='BUF_ANIMAL0':_D['POLICY']['animal_buffer']=0\\n if variant=='BUF_LAND0':_D['POLICY']['land_buffer']=0\\n if variant=='BUF_SEED0':_D['POLICY']['seed_buffer']=0\\n if variant=='BUF_ALL0':_D['POLICY']['animal_buffer']=0;_D['POLICY']['land_buffer']=0;_D['POLICY']['seed_buffer']=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_hands(h):\\n _D['POLICY']['hands']=int(h)\\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'),callRefFresh:py.globals.get('call_ref_fresh'),callDyn:py.globals.get('call_dyn'),getPolicyValue:py.globals.get('get_policy_value'),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'),setHands:py.globals.get('set_hands'),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 marketSellIndex(act:any,item:string){for(let i=0;i<(act?.market??[]).length;i++){const m=act.market[i];if(Array.isArray(m)&&m[0]==='SELL'&&m[1]===item)return i}return -1}\nfunction actionSummary(act:any){const out:any={marketOps:0,sellOps:0,sellQty:0,sellByItem:{},buyOps:0,buyQty:0,buyByItem:{},opCounts:{},landBuys:0,animalBuys:{},seedBuys:{},productBuys:{},hires:0,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');out.opCounts[op]=(out.opCounts[op]??0)+1;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==='HIRE'){out.hires++}else if(op==='BUY_LAND'){out.buyOps++;out.buyQty+=1;out.landBuys++}else if(op==='BUY_ANIMAL'){out.buyOps++;out.buyQty+=q;out.animalBuys[item]=(out.animalBuys[item]??0)+q;out.buyByItem[`ANIMAL:${item}`]=(out.buyByItem[`ANIMAL:${item}`]??0)+q}else if(op==='BUY_SEED'){out.buyOps++;out.buyQty+=q;out.seedBuys[item]=(out.seedBuys[item]??0)+q;out.buyByItem[`SEED:${item}`]=(out.buyByItem[`SEED:${item}`]??0)+q}else if(op==='BUY_PRODUCT'){out.buyOps++;out.buyQty+=q;out.productBuys[item]=(out.productBuys[item]??0)+q;out.buyByItem[`PRODUCT:${item}`]=(out.buyByItem[`PRODUCT:${item}`]??0)+q}else if(op.startsWith('BUY')){out.buyOps++;out.buyQty+=q;out.buyByItem[`${op}:${item}`]=(out.buyByItem[`${op}:${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.hires=(dst.hires??0)+(s.hires??0);dst.landBuys=(dst.landBuys??0)+(s.landBuys??0);dst.farmer=dst.farmer??{};if(s.farmer)dst.farmer[s.farmer]=(dst.farmer[s.farmer]??0)+1;for(const fld of ['sellByItem','buyByItem','opCounts','animalBuys','seedBuys','productBuys']){dst[fld]=dst[fld]??{};for(const [k,v] of Object.entries(s[fld]??{}))dst[fld][k]=(dst[fld][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.startsWith('LABOR')?'MIX11':(variant==='M60_FERT_JIT'||variant==='DEPLOY10'||variant==='HERD4'||variant==='LAND6'||variant==='PHASE3')?'M60_FERT':variant);const routePersistTreatment=Boolean(R.getPolicyValue('persistent_routing'));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,laborChecks=0,laborApplied=0,laborTargetSum=0;const timeline:any[]=[],actionTimeline:any[]=[],dailyActions:any[]=[],legalTrace:any[]=[],scenarioTrace:any[]=[],teacherActivationTrace:any[]=[],obg=obgInit(),obgTrace:any[]=[];const oracle=opts.oracleActionTelemetry==='FULL',teacherEvery=Math.max(1,Number(opts.teacherCashEvery??1)||1);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.startsWith('LABOR')&&+o.hour===0){laborChecks++;const active=+o.day>=9&&+o.day<15,target=active?(variant==='LABOR12_D9_15'?12:variant==='LABOR9_D9_15'?9:10):8;R.setHands(target);laborTargetSum+=target;if(active)laborApplied++}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:[]}}}if(opts.scenarioTelemetry==='FULL'){const so=observationFor(s,ourSeat);scenarioTrace.push(scenarioFeature(so,acts[ourSeat]))}if(opts.teacherCashActivation==='BROKER_199_200'&&ref==='broker_bea.py'&&(+s.hour%teacherEvery===0)){const refSeat=(1-ourSeat) as 0|1,ro=observationFor(s,refSeat),oi=1-Number(ro.player),baseFresh=JSON.parse(String(R.callRefFresh(ref,JSON.stringify(ro)))),lo=structuredClone(ro),hi=structuredClone(ro);lo.farms[oi].money=199;hi.farms[oi].money=200;const a199=JSON.parse(String(R.callRefFresh(ref,JSON.stringify(lo)))),a200=JSON.parse(String(R.callRefFresh(ref,JSON.stringify(hi)))),active=JSON.stringify(a199?.market??[])!==JSON.stringify(a200?.market??[]),baselineMatch=JSON.stringify(baseFresh)===JSON.stringify(acts[refSeat]);teacherActivationTrace.push({step:+s.step,day:+s.day,hour:+s.hour,active,baselineMatch,loWheatSellIndex:marketSellIndex(a199,'WHEAT'),hiWheatSellIndex:marketSellIndex(a200,'WHEAT'),loMarketOps:(a199?.market??[]).length,hiMarketOps:(a200?.market??[]).length})}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','LABOR9_D9_15','LABOR10_D9_15','LABOR12_D9_15','MIX11_ROUTE_PERSIST'].includes(variant))throw new Error(`unsupported variant ${variant}`);\n const games:any[]=[];const opts={legalTelemetry:String(payload.legalTelemetry??'NONE'),oracleActionTelemetry:String(payload.oracleActionTelemetry??'NONE'),scenarioTelemetry:String(payload.scenarioTelemetry??'NONE'),teacherCashActivation:String(payload.teacherCashActivation??'NONE'),teacherCashEvery:Number(payload.teacherCashEvery??1)};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",[],[1233,1242],"0c85d954-1ea4-4fc2-950b-7192bce72654",["D",1788838022689],[199,200,201],[1233],["D",1788770222210],["D",1789550457365],{"_11":12,"_143":83},{"_11":12,"_138":139,"_82":83,"_31":81,"_140":141,"_142":30},{"_39":128,"_13":16,"_33":36,"_129":92,"_130":71,"_131":132,"_133":96,"_134":92,"_135":42,"_136":14,"_137":12},"ctx",{"_54":-5,"_163":1291,"_1292":1293,"_1294":1295,"_1296":30,"_1297":30,"_1298":30,"_1299":24,"_1300":-5,"_1301":-7,"_1302":-7,"_1303":26,"_1304":30,"_1305":30,"_1306":-5,"_1307":30,"_1308":30,"_1309":30,"_1310":-5},"ENV",{"_1262":1263,"_1264":1265,"_1266":72,"_1267":1268,"_1269":1270,"_1271":1272,"_1273":1274,"_1275":1276,"_1277":1278,"_1279":1280,"_1281":1282,"_1283":1284,"_1285":1286,"_1287":1288,"_1289":1290},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","fdb67791413f4386b4dbf18f354029a617f6160f","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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