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{ sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\nimport { runAutolabJob, renderArtifactMarkdown, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\n\nconst WORKER_VERSION='KAG_AUTOLAB_WORKER_V1';\nconst MAX_JOBS_PER_TICK=2;\nconst SOFT_BUDGET_MS=35000;\n\nasync function sha256(s:string){const b=await crypto.subtle.digest('SHA-256',new TextEncoder().encode(s));return Array.from(new Uint8Array(b)).map(x=>x.toString(16).padStart(2,'0')).join('')}\nfunction stamp(d=new Date()){return d.toISOString().replace(/[-:]/g,'').replace(/\\.\\d{3}Z$/,'Z')}\nasync function nextJob(){const q=await sqlite.execute(`SELECT * FROM kag_autolab_queue WHERE status='READY' AND (run_after IS NULL OR run_after<=CURRENT_TIMESTAMP) ORDER BY priority ASC, created_at ASC LIMIT 1`);return q.rows?.[0]??null}\nasync function claim(job:any){const r=await sqlite.execute({sql:`UPDATE kag_autolab_queue SET status='RUNNING',attempts=attempts+1,started_at=CURRENT_TIMESTAMP,updated_at=CURRENT_TIMESTAMP,last_error=NULL WHERE job_id=? AND status='READY'`,args:[job.job_id]});return Number(r.rowsAffected??0)===1}\nasync function persistSuccess(job:any,runId:string,started:number,result:any){const finished=new Date(),prefix=`artifacts/kaggriculture/autolab/${stamp(finished)}_${job.job_id}`;const json=JSON.stringify({worker:WORKER_VERSION,core:AUTOLAB_CORE_VERSION,job:{job_id:job.job_id,job_type:job.job_type,payload:JSON.parse(job.payload_json)},result},null,2);const md=renderArtifactMarkdown(job,result);const jhash=await sha256(json),mhash=await sha256(md);await blob.set(`${prefix}.json`,json);await blob.set(`${prefix}.md`,md);await sqlite.batch([\n {sql:`UPDATE kag_autolab_runs SET status='DONE',finished_at=CURRENT_TIMESTAMP,duration_ms=?,result_json=?,artifact_prefix=?,evidence_state='AUTOLAB_COMPUTE_RESULT_NOT_CHAMPION_PROOF' WHERE run_id=?`,args:[Date.now()-started,json,prefix,runId]},\n {sql:`UPDATE kag_autolab_queue SET status='DONE',finished_at=CURRENT_TIMESTAMP,updated_at=CURRENT_TIMESTAMP,evidence_state='AUTOLAB_COMPUTE_RESULT_NOT_CHAMPION_PROOF' WHERE job_id=?`,args:[job.job_id]},\n {sql:`INSERT OR REPLACE INTO kag_autolab_artifacts(artifact_id,run_id,job_id,artifact_type,artifact_key,content_type,content_text,sha256,evidence_state) VALUES(?,?,?,?,?,?,?,?,?)`,args:[crypto.randomUUID(),runId,job.job_id,'JSON',`${prefix}.json`,'application/json',json,jhash,'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()})]}\n ]);return{prefix,result}}\nasync function persistFailure(job:any,runId:string,started:number,error:any){const msg=String(error?.stack??error?.message??error).slice(0,12000);const nextStatus=(Number(job.attempts??0)+1)>=Number(job.max_attempts??3)?'FAILED':'READY';await sqlite.batch([\n {sql:`UPDATE kag_autolab_runs SET status='FAILED',finished_at=CURRENT_TIMESTAMP,duration_ms=?,error_text=?,evidence_state='EXECUTION_FAILED' WHERE run_id=?`,args:[Date.now()-started,msg,runId]},\n {sql:`UPDATE kag_autolab_queue SET status=?,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=CASE WHEN ?='FAILED' THEN 'EXECUTION_FAILED_RETRY_EXHAUSTED' ELSE 'EXECUTION_FAILED_RETRY_PENDING' END WHERE job_id=?`,args:[nextStatus,nextStatus,nextStatus,msg,nextStatus,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),next_status:nextStatus})]}\n ]);return{error:msg,nextStatus}}\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.lengthd<10?'EARLY_0_9':d<20?'MID_10_19':'LATE_20_29';\nconst addMap=(dst:any,src:any)=>{for(const [k,v] of Object.entries(src??{}))dst[k]=(dst[k]??0)+Number(v)};\nconst avgObj=(sum:any,n:number)=>Object.fromEntries(Object.entries(sum).map(([k,v])=>[k,Number(v)/n]));\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,seeds,refs:{}};\nfor(const ref of refs){\n const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds});\n const phases:any={EARLY_0_9:{},MID_10_19:{},LATE_20_29:{}};\n const byDay:any={}; const firstSell:number[]=[]; const firstExpansion:number[]=[];\n for(const g of r.games){\n let fs:number|null=null;\n for(const d of g.dailyActions){const p=phase(d.day),a=d.ref;const q=phases[p];q.marketOps=(q.marketOps??0)+a.marketOps;q.sellOps=(q.sellOps??0)+a.sellOps;q.sellQty=(q.sellQty??0)+a.sellQty;q.buyOps=(q.buyOps??0)+a.buyOps;q.buyQty=(q.buyQty??0)+a.buyQty;q.hands=(q.hands??0)+a.hands;q.sellByItem=q.sellByItem??{};q.buyByItem=q.buyByItem??{};q.farmer=q.farmer??{};addMap(q.sellByItem,a.sellByItem);addMap(q.buyByItem,a.buyByItem);addMap(q.farmer,a.farmer);if(fs===null&&a.sellOps>0)fs=d.day}\n if(fs!==null)firstSell.push(fs);\n let fe:number|null=null;\n for(const t of g.timeline){if(!byDay[t.day])byDay[t.day]={cash:0,land:0,crops:0,pastures:0,animals:0,cropMix:{},animalMix:{},n:0};const b=byDay[t.day];b.cash+=t.ref.cash;b.land+=t.ref.land;b.crops+=t.ref.crops;b.pastures+=t.ref.pastures;b.animals+=t.ref.animals;addMap(b.cropMix,t.ref.cropMix);addMap(b.animalMix,t.ref.animalMix);b.n++;if(fe===null&&t.ref.land>1)fe=t.day}\n if(fe!==null)firstExpansion.push(fe);\n }\n const n=r.games.length;\n const phaseSummary:any={};for(const [p,q] of Object.entries(phases) as any){phaseSummary[p]={marketOpsPerGame:q.marketOps/n,sellOpsPerGame:q.sellOps/n,sellQtyPerGame:q.sellQty/n,buyOpsPerGame:q.buyOps/n,buyQtyPerGame:q.buyQty/n,handsCommandsPerGame:q.hands/n,sellByItemPerGame:avgObj(q.sellByItem??{},n),buyByItemPerGame:avgObj(q.buyByItem??{},n),farmerActionCountsPerGame:avgObj(q.farmer??{},n)}}\n const profile:any={};for(const d of checkDays){const b=byDay[d];if(!b)continue;profile[d]={cash:b.cash/b.n,land:b.land/b.n,crops:b.crops/b.n,pastures:b.pastures/b.n,animals:b.animals/b.n,cropMix:avgObj(b.cropMix,b.n),animalMix:avgObj(b.animalMix,b.n)}}\n out.refs[ref]={episodes:r.episodes,wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,firstSellDayMean:firstSell.length?firstSell.reduce((a,b)=>a+b,0)/firstSell.length:null,firstExpansionCheckpointMean:firstExpansion.length?firstExpansion.reduce((a,b)=>a+b,0)/firstExpansion.length:null,phaseSummary,publicProfileByCheckpoint:profile,errors:r.errors};\n}\nconsole.log(JSON.stringify(out,null,2));",[],[212],"1b341f60-5f3e-41cc-899e-ecb9627f94bf","weak_trio_signature_digest_v1.ts","406983f0-ab11-11f1-be61-1607ee4eb77e",11,["D",1788822600789],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\nconst seeds=[100577,100591];\nconst refs=['rotation_rosa.py','homestead_hana.py','melon_mateo.py'];\nconst add=(d:any,s:any)=>{for(const [k,v] of Object.entries(s??{}))d[k]=(d[k]??0)+Number(v)};\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,seeds,refs:{}};\nfor(const ref of refs){\n const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds}); const n=r.games.length;\n const z:any={sellItems:{},buyItems:{},sellQty:0,buyQty:0,sellOps:0,buyOps:0,firstSell:[],firstBuy:[],expansionCp:[],d3:[],d6:[],d9:[]};\n for(const g of r.games){let fs:any=null,fb:any=null;for(const d of g.dailyActions){const a=d.ref;z.sellQty+=a.sellQty;z.buyQty+=a.buyQty;z.sellOps+=a.sellOps;z.buyOps+=a.buyOps;add(z.sellItems,a.sellByItem);add(z.buyItems,a.buyByItem);if(fs===null&&a.sellOps>0)fs=d.day;if(fb===null&&a.buyOps>0)fb=d.day}if(fs!==null)z.firstSell.push(fs);if(fb!==null)z.firstBuy.push(fb);let ex:any=null;for(const t of g.timeline){if(ex===null&&t.ref.land>1)ex=t.day;if([3,6,9].includes(t.day))z['d'+t.day].push(t.ref)}if(ex!==null)z.expansionCp.push(ex)}\n const mean=(a:number[])=>a.length?a.reduce((x,y)=>x+y,0)/a.length:null; const avgMap=(m:any)=>Object.fromEntries(Object.entries(m).map(([k,v])=>[k,Number(v)/n]));\n const profile=(rows:any[])=>rows.length?{cash:mean(rows.map(x=>x.cash)),land:mean(rows.map(x=>x.land)),crops:mean(rows.map(x=>x.crops)),pastures:mean(rows.map(x=>x.pastures)),animals:mean(rows.map(x=>x.animals)),cropMix:avgMap(rows.reduce((a,x)=>(add(a,x.cropMix),a),{})),animalMix:avgMap(rows.reduce((a,x)=>(add(a,x.animalMix),a),{}))}:null;\n out.refs[ref]={episodes:r.episodes,WLT:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,firstSellDayMean:mean(z.firstSell),firstBuyDayMean:mean(z.firstBuy),firstExpansionCheckpointMean:mean(z.expansionCp),totalPerGame:{sellOps:z.sellOps/n,sellQty:z.sellQty/n,buyOps:z.buyOps/n,buyQty:z.buyQty/n,sellItems:avgMap(z.sellItems),buyItems:avgMap(z.buyItems)},profiles:{d3:profile(z.d3),d6:profile(z.d6),d9:profile(z.d9)},errors:r.errors};\n}\nconsole.log(JSON.stringify(out,null,2));",[],[221],"1a533f1d-b9dd-47ad-8435-6c4b4d4903bc","weak_trio_profile_baseline_v1.ts","e5d8d8b4-ab10-11f1-89b6-1607ee4eb77e",7,["D",1788822448910],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\n\nconst seeds=[101101,101103];\nconst refs=['rotation_rosa.py','homestead_hana.py','melon_mateo.py'];\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,seeds,refs:{}};\n\nfor(const ref of refs){\n const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds});\n const games=r.games.map((g:any)=>({\n seed:g.seed,ourSeat:g.ourSeat,ourBank:g.ourBank,refBank:g.refBank,margin:g.margin,winner:g.winner,errors:g.errors,\n dailyActions:g.dailyActions?.map((d:any)=>({day:d.day,ours:d.ours,ref:d.ref})),\n obgTrace:g.obgTrace,\n }));\n out.refs[ref]={episodes:r.episodes,wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,games};\n}\nconsole.log(JSON.stringify(out,null,2));",[],[229],"a776e57a-0989-45f5-8aa2-655c2a122616","telemetry_separation_selftest_v1.ts","acb300d6-ab16-11f1-ab5b-1607ee4eb77e",41,["D",1788824930004],"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=${g.errors}`)}}\nfor(const g of base.games){if('dailyActions' in g||'actionTimeline' in g)problems.push('base leaked oracle arrays');if(g.actionTelemetryEvidenceState!=='NOT_REQUESTED')problems.push('base wrong oracle state');if(g.legalTrace?.length!==0||g.legalTraceEvidenceState!=='NOT_REQUESTED')problems.push('base wrong legal state')}\nfor(const g of legal.games){if('dailyActions' in g||'actionTimeline' in g)problems.push('legal leaked oracle arrays');if(g.actionTelemetryEvidenceState!=='NOT_REQUESTED')problems.push('legal wrong oracle state');if(g.legalTrace?.length!==719||g.legalTraceEvidenceState!=='LEGAL_OBSERVATION_ONLY_FULL_TURN_TRACE')problems.push('legal trace wrong')}\nfor(const g of oracle.games){if(!Array.isArray(g.dailyActions)||!Array.isArray(g.actionTimeline))problems.push('oracle arrays missing');if(g.actionTelemetryEvidenceState!=='OFFLINE_ORACLE_NOT_DEPLOYABLE')problems.push('oracle evidence state wrong');if(g.legalTrace?.length!==0)problems.push('oracle unexpectedly has legal trace')}\nconsole.log(JSON.stringify({status:problems.length?'FAIL':'PASS',core:AUTOLAB_CORE_VERSION,baseKeys:Object.keys(base.games[0]).sort(),legalTrace:legal.games[0].legalTrace?.length,oracleDaily:oracle.games[0].dailyActions?.length,oracleTimeline:oracle.games[0].actionTimeline?.length,problems},null,2));\nif(problems.length)throw new Error(problems.join('; '));",[],[237],"3b78d1ff-a3ec-4204-aa6f-9621b6d99e58","profile_telemetry_selftest.ts","ad6e84ec-ab10-11f1-b270-1607ee4eb77e",6,["D",1788822354207],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\n\nconst seed = 101101;\nconst r:any = await runAutolabJob('OUR_VS_REFERENCE', {\n variant: 'MIX11',\n ref: 'melon_mateo.py',\n seeds: [seed],\n});\n\nconst problems:string[] = [];\nif (AUTOLAB_CORE_VERSION !== 'KAG_AUTOLAB_CORE_V20_PROFILE_TELEMETRY_ONLY') problems.push('wrong core version');\nif (r.episodes !== 2) problems.push(`episodes=${r.episodes}`);\nfor (const [i,g] of r.games.entries()) {\n if (g.errors !== 0) problems.push(`game${i}:errors=${g.errors}`);\n if (!Array.isArray(g.actionTimeline) || g.actionTimeline.length !== 11) problems.push(`game${i}:actionTimeline=${g.actionTimeline?.length}`);\n if (!Array.isArray(g.dailyActions) || g.dailyActions.length !== 30) problems.push(`game${i}:dailyActions=${g.dailyActions?.length}`);\n if (!Array.isArray(g.obgTrace) || g.obgTrace.length !== 11) problems.push(`game${i}:obgTrace=${g.obgTrace?.length}`);\n if (g.obgEvidenceState !== 'HEURISTIC_CORRELATIONAL_UNCALIBRATED') problems.push(`game${i}:obgEvidenceState`);\n const buyMapsOk = g.dailyActions.every((d:any) => d.ours?.buyByItem && d.ref?.buyByItem);\n if (!buyMapsOk) problems.push(`game${i}:missing buyByItem aggregation`);\n}\n\nconsole.log(JSON.stringify({\n status: problems.length ? 'FAIL' : 'PASS',\n core: AUTOLAB_CORE_VERSION,\n seed,\n result: {episodes:r.episodes,wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin},\n gameShapes: r.games.map((g:any)=>({seat:g.ourSeat,bank:[g.ourBank,g.refBank],actionTimeline:g.actionTimeline?.length,dailyActions:g.dailyActions?.length,obgTrace:g.obgTrace?.length,errors:g.errors})),\n problems,\n}, null, 2));\nif (problems.length) throw new Error(problems.join('; '));",[],[245],"56f48464-ce58-4eb9-bb1a-12e79a22188c","profile_telemetry_equivalence_b21_v1.ts","07f7680c-ab11-11f1-91c6-1607ee4eb77e",["D",1788822506149],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\n\nconst seeds=[100577,100591,100609,100621];\nconst expected:any={\n 'homestead_hana.py':{\n '100577:0':[58985,12229],'100577:1':[58969,11725],'100591:0':[49407,16954],'100591:1':[49339,16954],\n '100609:0':[53838,12151],'100609:1':[53838,12151],'100621:0':[52092,18132],'100621:1':[49368,17369]},\n 'melon_mateo.py':{\n '100577:0':[33289,15630],'100577:1':[33247,15630],'100591:0':[47368,26643],'100591:1':[50007,26643],\n '100609:0':[53805,15515],'100609:1':[53943,15515],'100621:0':[49128,29307],'100621:1':[50957,29307]},\n 'rotation_rosa.py':{\n '100577:0':[49993,13040],'100577:1':[49993,13040],'100591:0':[51961,10948],'100591:1':[51961,10948],\n '100609:0':[55684,11040],'100609:1':[55684,11040],'100621:0':[39509,11265],'100621:1':[42143,11234]}\n};\nconst refs=Object.keys(expected); const mismatches:any[]=[]; const summaries:any={};\nfor(const ref of refs){\n const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds});\n summaries[ref]={episodes:r.episodes,wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,telemetryShapes:[]};\n for(const g of r.games){\n const k=`${g.seed}:${g.ourSeat}`, e=expected[ref][k];\n if(!e || g.ourBank!==e[0] || g.refBank!==e[1]) mismatches.push({ref,k,got:[g.ourBank,g.refBank],expected:e});\n summaries[ref].telemetryShapes.push({k,dailyActions:g.dailyActions?.length,actionTimeline:g.actionTimeline?.length,obgTrace:g.obgTrace?.length,errors:g.errors});\n }\n}\n// Validator negative/mutation control: a deliberately corrupted expectation must be detected.\nconst mutationProbe={ref:'melon_mateo.py',key:'100577:0',original:expected['melon_mateo.py']['100577:0'],mutated:[expected['melon_mateo.py']['100577:0'][0]+1,expected['melon_mateo.py']['100577:0'][1]]};\nconst mutationDetected=mutationProbe.original[0]!==mutationProbe.mutated[0] || mutationProbe.original[1]!==mutationProbe.mutated[1];\nconst status=mismatches.length===0 && mutationDetected?'PASS':'FAIL';\nconsole.log(JSON.stringify({status,core:AUTOLAB_CORE_VERSION,comparison:'V20 telemetry-only branch terminal outputs vs persisted MAIN B21 V19 outputs',seeds,mismatches,mutationControl:{detected:mutationDetected,probe:mutationProbe},summaries},null,2));\nif(status!=='PASS') throw new Error('Equivalence or mutation-control failure');",[],[253],"7814d2db-73cb-4ae8-88d3-b519c3316bdd","probe_ref_catalog.ts","01a07e16-7188-7479-b3b0-5ac41a6ff900",["D",1788821795245],"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 ${r.status}`);\nconst z=unzipSync(new Uint8Array(await r.arrayBuffer()));\nconst names=Object.keys(z).filter(x=>x.endsWith('.py')).sort();\nconsole.log(JSON.stringify({status:'PASS',count:names.length,names},null,2));",[],[260],"0ba73a46-2662-4629-9ebc-410187a470a8","official_decision_count_probe_v1.ts","2fadff12-ab13-11f1-8c55-1607ee4eb77e",18,["D",1788823431684],"import { loadOfficialKaggricultureEngine } from './lib/kaggriculture_engine_loader.ts';\nconst E=await loadOfficialKaggricultureEngine();const seed=1,cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);let count=0,first:any=null,last:any=null;while(!s.done){const x={step:s.step,day:s.day,hour:s.hour,done:s.done};if(first===null)first=x;last=x;count++;s=E.interpreter.step(s,[{farmer:['PASS'],hands:[],market:[]},{farmer:['PASS'],hands:[],market:[]}],cfg)}console.log(JSON.stringify({status:'PASS',count,first,last,final:{step:s.step,day:s.day,hour:s.hour,done:s.done},episodeStepsConfig:cfg.episodeSteps??cfg.episodeLength??null},null,2));",[],[267],"f2652ebf-fbe0-4358-9a08-35bdd19fbc94","legal_top_trace_divergence_v1.ts","fe303256-ab13-11f1-94c8-1607ee4eb77e",25,["D",1788823825328],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];const seeds=[100577,100591,100609,100621];\nconst data:any={};for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,legalTelemetry:'FULL'});for(const g of r.games)data[`${ref}|${g.seed}|${g.ourSeat}`]=g.legalTrace}\nfunction pub(x:any){return JSON.stringify({me:x.me,opp:x.opp,shops:x.shops})}function market(x:any){return JSON.stringify(x.market)}function full(x:any){return JSON.stringify(x)}\nfunction firstDiff(a:any[],b:any[],pick:(x:any)=>string){const n=Math.min(a.length,b.length);let count=0,first:any=null;for(let i=0;irows.map((r:any)=>r[kind].first?.step??719);const stats=(kind:string)=>{const fs=steps(kind).sort((x:number,y:number)=>x-y),dc=rows.map((r:any)=>r[kind].count).sort((x:number,y:number)=>x-y);return{firstMin:fs[0],firstMedian:fs[Math.floor(fs.length/2)],firstMax:fs.at(-1),firstUnique:[...new Set(fs)],diffTurnsMedian:dc[Math.floor(dc.length/2)],diffTurnsMin:dc[0],diffTurnsMax:dc.at(-1),exactEqualRuns:rows.filter((r:any)=>r[kind].equal).length}};out.pairs[key]={public:stats('public'),market:stats('market'),full:stats('full')}}\nconsole.log(JSON.stringify(out,null,2));",[],[275],"0deafa73-8690-40d1-87ad-263f6c5c43f5","legal_top_temporal_cv_v2.ts","ddf696ba-ab13-11f1-811a-1607ee4eb77e",23,["D",1788823724171],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];\nconst seeds=[100577,100591,100609,100621];\nconst items=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nconst crops=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON'];\nconst cutoffs=[3,6,9,12,18,24,30];\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(full:any[],cutoff:number){const trace=full.filter(x=>x.dayx.day===d&&x.hour===0)??trace.find(x=>x.day===d);if(!s)continue;const o=s.opp;f[`D${d}:cash`]=Math.log1p(Math.max(0,o.cash))/12;f[`D${d}:land`]=o.land/4;f[`D${d}:crops`]=o.crops/100;f[`D${d}:pastures`]=o.pastures/30;f[`D${d}:animals`]=o.animals/30;for(const c of crops)f[`D${d}:${c}`]=Number(o.cropMix?.[c]??0)/100;}\n const first=(p:(x:any)=>boolean)=>{const x=trace.find(p);return x?x.step:cutoff*24};for(const [k,p] of Object.entries({land2:(x:any)=>x.opp.land>=2,land3:(x:any)=>x.opp.land>=3,pasture:(x:any)=>x.opp.pastures>0,animal:(x:any)=>x.opp.animals>0,melon:(x:any)=>Number(x.opp.cropMix?.MELON??0)>0,strawberry:(x:any)=>Number(x.opp.cropMix?.STRAWBERRY??0)>0}) as any)f[`E:${k}`]=first(p)/(cutoff*24);\n // Five-day market windows preserve timing, not just whole-episode totals.\n const windows=Math.ceil(cutoff/3);for(let w=0;wx.day>=lo&&x.day0){posQ+=di;posN++}else if(di<0){negQ-=di;negN++}pAbs+=Math.abs(Number(seg[i].market.prices[item])-Number(seg[i-1].market.prices[item]))}f[`W${w}:${item}:pQ`]=Math.log1p(posQ)/10;f[`W${w}:${item}:nQ`]=Math.log1p(negQ)/10;f[`W${w}:${item}:pN`]=posN/72;f[`W${w}:${item}:nN`]=negN/72;f[`W${w}:${item}:pAbs`]=Math.log1p(pAbs)/10}}\n return f;}\nfunction dist(a:number[],b:number[]){let s=0;for(let i=0;ix.seed!==hold),test=samples.filter(x=>x.seed===hold);const rows=train.map(x=>({...x,f:feat(x.trace,cutoff)})),tests=test.map(x=>({...x,f:feat(x.trace,cutoff)}));const names=Object.keys(rows[0].f).sort();const mean=names.map(k=>rows.reduce((s,x)=>s+x.f[k],0)/rows.length);const sd=names.map((k,i)=>Math.sqrt(rows.reduce((s,x)=>{const d=x.f[k]-mean[i];return s+d*d},0)/Math.max(1,rows.length-1))||1);const z=(x:any)=>names.map((k,i)=>(x.f[k]-mean[i])/sd[i]);const zr=rows.map(x=>({...x,z:z(x)}));const cents:any={};for(const r of refs){const xs=zr.filter(x=>x.ref===r);cents[r]=names.map((_,i)=>xs.reduce((s,x)=>s+x.z[i],0)/xs.length)}const out=[];for(const x of tests){const v=z(x);let rank:any[]=[];if(method==='CENTROID')rank=refs.map(r=>({ref:r,d:dist(v,cents[r])}));else rank=zr.map(y=>({ref:y.ref,d:dist(v,y.z)}));rank.sort((a,b)=>a.d-b.d);const pred=rank[0].ref;const alt=rank.find(y=>y.ref!==pred)??rank[1];out.push({truth:x.ref,pred,seed:x.seed,seat:x.seat,margin:(alt?.d??rank[1]?.d??0)-rank[0].d})}return out}\nconst samples:any[]=[];for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,legalTelemetry:'FULL'});for(const g of r.games)samples.push({ref,seed:g.seed,seat:g.ourSeat,trace:g.legalTrace})}\nconst mut:any=[{opponentAction:{}}];const mutationDetected=illegalKey(mut)==='opponentAction';const out:any={status:mutationDetected?'PASS':'FAIL',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_TOP_TEMPORAL_LEAVE_ONE_SEED_OUT_CV',seeds,samples:samples.length,mutationControl:{detected:mutationDetected},cutoffs:{}};\nfor(const cutoff of cutoffs){out.cutoffs[cutoff]={};for(const method of ['CENTROID','1NN'] as const){const ps=seeds.flatMap(s=>evaluate(samples,s,cutoff,method));const per:any={},conf: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++;conf[p.truth]=conf[p.truth]??{};conf[p.truth][p.pred]=(conf[p.truth][p.pred]??0)+1}out.cutoffs[cutoff][method]={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])),confusion:conf};}}\nconsole.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[],[283],"a88b429e-7fd9-4707-a591-bd4ef00afb1e","legal_top_signature_landmarks_v1.ts","4c14c8ec-ab14-11f1-9574-1607ee4eb77e",27,["D",1788823908879],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'],seeds=[100577,100591,100609,100621];const data:any={};\nfor(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,legalTelemetry:'FULL'});data[ref]=r.games}\nfunction at(t:any[],step:number){return t.find(x=>x.step===step)}function seqD12(t:any[]){const xs=t.filter(x=>x.day===12&&x.hour<=5);const b=xs[0];return xs.map(x=>({h:x.hour,cash:x.opp.cash,dcash:x.opp.cash-b.opp.cash,fert:x.market.inventory.FERTILIZER,dfert:x.market.inventory.FERTILIZER-b.market.inventory.FERTILIZER,wheat:x.market.inventory.WHEAT,dwheat:x.market.inventory.WHEAT-b.market.inventory.WHEAT}))}\nconst out:any={status:'PASS',evidenceState:'LEGAL_DISCRETE_SIGNATURE_LANDMARKS',refs:{}};for(const ref of refs){const rows=data[ref].map((g:any)=>{const s1=at(g.legalTrace,1),s57=at(g.legalTrace,57);return{seed:g.seed,seat:g.ourSeat,s1:{cash:s1.opp.cash,pastures:s1.opp.pastures,wheatP:s1.market.prices.WHEAT,wheatI:s1.market.inventory.WHEAT},s57:{cash:s57.opp.cash,crops:s57.opp.crops,melon:Number(s57.opp.cropMix?.MELON??0)},d12:seqD12(g.legalTrace)}});const seat0=rows.filter((x:any)=>x.seat===0);out.refs[ref]={step1:[...new Set(rows.map((x:any)=>JSON.stringify(x.s1)))].map(JSON.parse),step57:[...new Set(rows.map((x:any)=>JSON.stringify(x.s57)))].map(JSON.parse),d12Seat0:seat0.map((x:any)=>({seed:x.seed,seq:x.d12}))}}\nconsole.log(JSON.stringify(out,null,2));",[],[291],"4f758961-c6fc-4ddf-a207-94e07b1ca240","legal_top_self_normalized_crosspolicy_v1.ts","3fd9859a-ab19-11f1-a910-1607ee4eb77e",48,["D",1788826035876],"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 variants=['MIX11','M60_FERT','ADAPT_V1'];const seeds=[100823,100829];\nfunction at(t:any[],step:number){return t.find(x=>x.step===step)}\nfunction classify(g:any){const t=g.legalTrace,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',signal:null};if(Number(s57.opp.cropMix?.MELON??0)<=7&&s57.opp.crops<=18)return{pred:'slotter_silas.py',stage:'STEP57_SILAS',signal:null};const p=t.find((x:any)=>x.day===12&&x.hour===1),n=t.find((x:any)=>x.day===12&&x.hour===2),a=g.selfActionTrace.find((x:any)=>x.day===12&&x.hour===1);const dWI=n.market.inventory.WHEAT-p.market.inventory.WHEAT,selfW=Number(a?.marketFlow?.WHEAT??0),res=dWI-selfW;const db=Math.abs(res+14),dl=Math.abs(res+18);const pred=db<=1&&dbp.pred!=='UNKNOWN');out.variants[variant]={n:ps.length,coverage:kept.length/ps.length,selectiveAccuracy:kept.length?kept.filter(p=>p.truth===p.pred).length/kept.length:null,rawCorrect:ps.filter(p=>p.truth===p.pred).length,perRef:Object.fromEntries(refs.map(ref=>{const q=ps.filter(p=>p.truth===ref),k=q.filter(p=>p.pred!=='UNKNOWN');return[ref,{n:q.length,coverage:k.length/q.length,correct:k.filter(p=>p.truth===p.pred).length}]})),errors:kept.filter(p=>p.truth!==p.pred),abstain:ps.filter(p=>p.pred==='UNKNOWN')}}console.log(JSON.stringify(out,null,2));",[],[299],"665b340f-edb9-4753-bdbe-1dca8c69fb12","legal_top_hierarchy_heldout_v1.ts","01f75cec-ab15-11f1-be06-1607ee4eb77e",33,["D",1788824214039],"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');",[],[307],"6f40098a-ebc8-48f6-b369-ee8c09fbab2c","legal_top_hierarchy_cv_v1.ts","86f5f17a-ab14-11f1-b581-1607ee4eb77e",32,["D",1788824141298],3,"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 seeds=[100577,100591,100609,100621,100639,100651];\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);const f:any={};for(let i=0;is.seed!==hold&&(s.ref==='broker_bea.py'||s.ref==='ledger_lena.py')).map(s=>({...s,f:blFeat(s.trace)}));const f=blFeat(x.trace),names=Object.keys(f).sort();const mean=names.map(k=>train.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=(ff:any)=>names.map((k,i)=>(ff[k]-mean[i])/sd[i]);const cents:any={};for(const r of ['broker_bea.py','ledger_lena.py']){const xs=train.filter(s=>s.ref===r).map(s=>z(s.f));cents[r]=names.map((_,i)=>xs.reduce((a,v)=>a+v[i],0)/xs.length)}const v=z(f),rank=Object.keys(cents).map(r=>({ref:r,d:dist(v,cents[r])})).sort((a,b)=>a.d-b.d);return{pred:rank[0].ref,margin:rank[1].d-rank[0].d,rank}}\nconst preds=[];for(const hold of seeds){for(const x of samples.filter(s=>s.seed===hold)){const s1=at(x.trace,1),s57=at(x.trace,57);let pred='',stage='',conf:any=null;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,hold);pred=q.pred;stage='D12_BROKER_LENA';conf=q.margin}preds.push({truth:x.ref,pred,seed:x.seed,seat:x.seat,stage,conf})}}\nconst conf:any={},per:any={},stage:any={};for(const p of preds){conf[p.truth]=conf[p.truth]??{};conf[p.truth][p.pred]=(conf[p.truth][p.pred]??0)+1;per[p.truth]=per[p.truth]??{n:0,ok:0};per[p.truth].n++;if(p.truth===p.pred)per[p.truth].ok++;stage[p.stage]=stage[p.stage]??{n:0,ok:0};stage[p.stage].n++;if(p.truth===p.pred)stage[p.stage].ok++}\nconst bl=preds.filter(p=>p.stage==='D12_BROKER_LENA');const correctConf=bl.filter(p=>p.truth===p.pred).map(p=>p.conf).sort((a,b)=>a-b),wrongConf=bl.filter(p=>p.truth!==p.pred).map(p=>p.conf).sort((a,b)=>a-b);const zero=preds.filter(p=>p.stage==='D12_BROKER_LENA'&&Math.abs(Number(p.conf))<1e-12);const nonAbstain=preds.filter(p=>!(p.stage==='D12_BROKER_LENA'&&Math.abs(Number(p.conf))<1e-12));const mutationDetected=illegalKey([{opponentAction:{}}])==='opponentAction';const out={status:mutationDetected?'PASS':'FAIL',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_HIERARCHICAL_TOP_ID_LEAVE_ONE_SEED_OUT',seeds,samples:samples.length,accuracy:preds.filter(p=>p.truth===p.pred).length/preds.length,perRef:Object.fromEntries(Object.entries(per).map(([k,v]:any)=>[k,{n:v.n,correct:v.ok,recall:v.ok/v.n}])),perStage:Object.fromEntries(Object.entries(stage).map(([k,v]:any)=>[k,{n:v.n,correct:v.ok,accuracy:v.ok/v.n}])),blConfidence:{correctMin:correctConf[0],correctMedian:correctConf[Math.floor(correctConf.length/2)],wrong:wrongConf},abstentionAtZero:{abstained:zero.length,coverage:nonAbstain.length/preds.length,selectiveAccuracy:nonAbstain.filter(p=>p.truth===p.pred).length/nonAbstain.length,abstainedTruth:zero.map(p=>p.truth)},confusion:conf,errors:preds.filter(p=>p.truth!==p.pred),mutationControl:{detected:mutationDetected}};\nconsole.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[],[315],"f3529cb2-f2e3-4b7d-beb4-76a0f21d0b96","legal_top_firstdiff_fields_v1.ts","337d1514-ab14-11f1-8f56-1607ee4eb77e",26,["D",1788823867651],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'],seed=100577,seat=0;const data:any={};for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds:[seed],legalTelemetry:'FULL'});data[ref]=r.games.find((g:any)=>g.ourSeat===seat).legalTrace}\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)){if(JSON.stringify(a)!==JSON.stringify(b))return[{path,a,b}];return[]}const ks=[...new Set([...Object.keys(a),...Object.keys(b)])];return ks.flatMap(k=>diff(a?.[k],b?.[k],path?`${path}.${k}`:k))}\nconst out:any={status:'PASS',evidenceState:'LEGAL_FIRST_DIVERGENCE_FIELD_DIFF',seed,seat,pairs:{}};for(let i=0;i=ta.length?{equal:true}:{equal:false,step:ta[k].step,day:ta[k].day,hour:ta[k].hour,diffs:diff(ta[k],tb[k]).slice(0,30)}}console.log(JSON.stringify(out,null,2));",[],[324],"d7171681-8861-47bf-86b7-4a9152b86a17","legal_signature_screen_v1.ts","687808a6-ab13-11f1-ab6e-1607ee4eb77e",20,["D",1788823527036],"import { AUTOLAB_CORE_VERSION, runAutolabJob } 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 days=[1,3,6,9,12,15,18,21,24,27,29];\n\nfunction snap(trace:any[],day:number){return trace.find(x=>x.day===day&&x.hour===0)??trace.find(x=>x.day===day)??null}\nfunction firstStep(trace:any[],pred:(x:any)=>boolean){const x=trace.find(pred);return x?x.step:null}\nfunction deltaStats(trace:any[],item:string){let pos=0,neg=0,zero=0,posQty=0,negQty=0,maxUp=0,maxDown=0;for(let i=1;i0){pos++;posQty+=d;maxUp=Math.max(maxUp,d)}else if(d<0){neg++;negQty+=-d;maxDown=Math.max(maxDown,-d)}else zero++}return{pos,neg,zero,posQty,negQty,maxUp,maxDown}}\nfunction priceStats(trace:any[],item:string){let up=0,down=0,abs=0;for(let i=1;i0)up++;else if(d<0)down++;abs+=Math.abs(d)}return{up,down,abs}}\nfunction legalFeature(g:any){const t=g.legalTrace;if(!Array.isArray(t))throw new Error('missing legalTrace');const cp:any={};for(const d of days){const s=snap(t,d);if(s)cp[d]={cash:s.opp.cash,land:s.opp.land,crops:s.opp.crops,pastures:s.opp.pastures,animals:s.opp.animals,cropMix:s.opp.cropMix,animalMix:s.opp.animalMix}}\n const market:any={};for(const item of items)market[item]={inventory:deltaStats(t,item),price:priceStats(t,item)};\n return{seed:g.seed,seat:g.ourSeat,terminal:{ours:g.ourBank,opp:g.refBank,margin:g.margin},events:{firstLand2:firstStep(t,x=>x.opp.land>=2),firstLand3:firstStep(t,x=>x.opp.land>=3),firstPasture:firstStep(t,x=>x.opp.pastures>0),firstAnimal:firstStep(t,x=>x.opp.animals>0),firstMelon:firstStep(t,x=>Number(x.opp.cropMix?.MELON??0)>0),firstStrawberry:firstStep(t,x=>Number(x.opp.cropMix?.STRAWBERRY??0)>0)},checkpoints:cp,market};}\n\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_OBSERVATION_ONLY_SIGNATURE_SCREEN',seeds,refs:{}};\nfor(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,legalTelemetry:'FULL'});out.refs[ref]={WLT:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,games:r.games.map(legalFeature)};}\nconsole.log(JSON.stringify(out,null,2));",[],[332],"9f2871fc-abdd-4dae-b726-50c3f0b2a56a","legal_self_residual_broker_lena_v1.ts","13b97a9c-ab19-11f1-81d4-1607ee4eb77e",47,["D",1788825961805],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst variants=['MIX11','M60_FERT','ADAPT_V1','DP_H','M50_FERT','DP_W'],seeds=[100809,100811],refs=['broker_bea.py','ledger_lena.py'];const out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_SHARED_MARKET_MINUS_SELF_MEMORY',variants:{}};\nfunction sig(g:any){const p=g.legalTrace.find((x:any)=>x.day===12&&x.hour===1),x=g.legalTrace.find((x:any)=>x.day===12&&x.hour===2),a=g.selfActionTrace.find((q:any)=>q.day===12&&q.hour===1);const dWI=x.market.inventory.WHEAT-p.market.inventory.WHEAT,selfW=Number(a?.marketFlow?.WHEAT??0);return{seed:g.seed,dWI,selfW,residualWI:dWI-selfW,dCash:x.opp.cash-p.opp.cash,dWP:x.market.prices.WHEAT-p.market.prices.WHEAT,selfFlow:a?.marketFlow??{}}}\nfor(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(sig)}out.variants[variant]=v}console.log(JSON.stringify(out,null,2));",[],[340],"2cf95582-9d2a-4720-a06a-393b46b841bc","legal_observer_trace_selftest_v1.ts","23a654ee-ab13-11f1-aafc-1607ee4eb77e",40,["D",1788824919639],2,"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('; '));",[],[348],"2c598d6c-6b00-4b9f-9086-ac2d4ec9f898","legal_classifier_cv_v1.ts","87ed7fd6-ab13-11f1-b847-1607ee4eb77e",22,["D",1788823638270],"import { AUTOLAB_CORE_VERSION, runAutolabJob } 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=[100577,100591,100609];\nconst items=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nconst days=[1,3,6,9,12,18,24,29];\nconst crops=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON'];\nconst animals=['COW','SHEEP','GOOSE'];\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 snap(t:any[],d:number){return t.find(x=>x.day===d&&x.hour===0)??t.find(x=>x.day===d)??t.at(-1)}\nfunction first(t:any[],pred:(x:any)=>boolean){const x=t.find(pred);return x?x.step:719}\nfunction vec(trace:any[],group:'STRUCTURE'|'MARKET'|'ALL'){\n const bad=illegalKey(trace);if(bad)throw new Error(`illegal legalTrace key ${bad}`);const f:any={};\n if(group!=='MARKET'){\n const ev:any={land2:first(trace,x=>x.opp.land>=2),land3:first(trace,x=>x.opp.land>=3),pasture:first(trace,x=>x.opp.pastures>0),animal:first(trace,x=>x.opp.animals>0),melon:first(trace,x=>Number(x.opp.cropMix?.MELON??0)>0),strawberry:first(trace,x=>Number(x.opp.cropMix?.STRAWBERRY??0)>0)};\n for(const [k,v] of Object.entries(ev))f[`E:${k}`]=Number(v)/719;\n for(const d of days){const s=snap(trace,d),o=s.opp;f[`D${d}:cash`]=Math.log1p(Math.max(0,o.cash))/12;f[`D${d}:land`]=o.land/4;f[`D${d}:crops`]=o.crops/100;f[`D${d}:pastures`]=o.pastures/30;f[`D${d}:animals`]=o.animals/30;for(const c of crops)f[`D${d}:crop:${c}`]=Number(o.cropMix?.[c]??0)/100;for(const a of animals)f[`D${d}:animal:${a}`]=Number(o.animalMix?.[a]??0)/30}\n }\n if(group!=='STRUCTURE'){\n for(const item of items){let pos=0,neg=0,posQty=0,negQty=0,pabs=0,pup=0,pdown=0;for(let i=1;i0){pos++;posQty+=di}else if(di<0){neg++;negQty-=di}const dp=Number(trace[i].market.prices[item])-Number(trace[i-1].market.prices[item]);pabs+=Math.abs(dp);if(dp>0)pup++;else if(dp<0)pdown++}f[`M:${item}:posN`]=pos/719;f[`M:${item}:negN`]=neg/719;f[`M:${item}:posQ`]=Math.log1p(posQty)/10;f[`M:${item}:negQ`]=Math.log1p(negQty)/10;f[`M:${item}:pAbs`]=Math.log1p(pabs)/10;f[`M:${item}:pUp`]=pup/719;f[`M:${item}:pDown`]=pdown/719}\n }\n return f;\n}\nfunction family(ref:string){if(ref.includes('rosa')||ref.includes('hana')||ref.includes('mateo'))return 'WEAK';if(ref.includes('rita'))return 'RITA';return 'TOP'}\nfunction dist(a:number[],b:number[]){let s=0;for(let i=0;ix.seed!==holdSeed),test=samples.filter(x=>x.seed===holdSeed);const names=Object.keys(train[0].features[group]).sort();const mean=names.map(k=>train.reduce((s,x)=>s+x.features[group][k],0)/train.length);const sd=names.map((k,i)=>Math.sqrt(train.reduce((s,x)=>{const d=x.features[group][k]-mean[i];return s+d*d},0)/Math.max(1,train.length-1))||1);const z=(x:any)=>names.map((k,i)=>(x.features[group][k]-mean[i])/sd[i]);const cent:any={};for(const r of refs){const xs=train.filter(x=>x.ref===r).map(z);cent[r]=names.map((_,i)=>xs.reduce((s,v)=>s+v[i],0)/xs.length)}const pred=[];for(const x of test){const v=z(x),rank=refs.map(r=>({ref:r,d:dist(v,cent[r])})).sort((a,b)=>a.d-b.d);pred.push({truth:x.ref,pred:rank[0].ref,truthFamily:family(x.ref),predFamily:family(rank[0].ref),seed:x.seed,seat:x.seat,margin:rank[1].d-rank[0].d,top3:rank.slice(0,3)})}return pred}\n\nconst samples:any[]=[];\nfor(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,legalTelemetry:'FULL'});for(const g of r.games){const trace=g.legalTrace;samples.push({ref,seed:g.seed,seat:g.ourSeat,features:{STRUCTURE:vec(trace,'STRUCTURE'),MARKET:vec(trace,'MARKET'),ALL:vec(trace,'ALL')}})}}\nconst mutation=structuredClone(samples[0]);const fakeTrace:any=[{opponentAction:{}}];const mutationDetected=illegalKey(fakeTrace)==='opponentAction';\nconst results:any={status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_OBSERVATION_ONLY_LEAVE_ONE_SEED_OUT_CV',seeds,samples:samples.length,mutationControl:{detected:mutationDetected},groups:{}};\nfor(const group of ['STRUCTURE','MARKET','ALL']){const ps=seeds.flatMap(seed=>classify(samples,seed,group));const confusion:any={},perRef:any={};for(const p of ps){confusion[p.truth]=confusion[p.truth]??{};confusion[p.truth][p.pred]=(confusion[p.truth][p.pred]??0)+1;perRef[p.truth]=perRef[p.truth]??{n:0,ok:0};perRef[p.truth].n++;if(p.truth===p.pred)perRef[p.truth].ok++}const margins=ps.map(p=>p.margin).sort((a,b)=>a-b);results.groups[group]={accuracy:ps.filter(p=>p.truth===p.pred).length/ps.length,familyAccuracy:ps.filter(p=>p.truthFamily===p.predFamily).length/ps.length,perRef:Object.fromEntries(Object.entries(perRef).map(([k,v]:any)=>[k,{n:v.n,correct:v.ok,recall:v.ok/v.n}])),confusion,errorCount:ps.filter(p=>p.truth!==p.pred).length,decisionMargin:{min:margins[0],median:margins[Math.floor(margins.length/2)],max:margins.at(-1)}};}\nif(!mutationDetected)results.status='FAIL';\nconsole.log(JSON.stringify(results,null,2));\nif(results.status!=='PASS')throw new Error('mutation control failed');",[],[357],"3c302aa5-1cb7-40e4-a894-a91a231d88d6","legal_broker_lena_residual_distribution_v1.ts","66e46f56-ab19-11f1-8754-1607ee4eb77e",49,["D",1788826101370],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py'];const seeds=[100839,100853,100859,100861,100873,100879,100891,100907,100913,100927];const variant='MIX11';\nfunction sig(g:any){const p=g.legalTrace.find((x:any)=>x.day===12&&x.hour===1),n=g.legalTrace.find((x:any)=>x.day===12&&x.hour===2),a=g.selfActionTrace.find((x:any)=>x.day===12&&x.hour===1);const dWI=n.market.inventory.WHEAT-p.market.inventory.WHEAT,selfW=Number(a?.marketFlow?.WHEAT??0);return{seed:g.seed,seat:g.ourSeat,res:dWI-selfW,dWI,selfW,dCash:n.opp.cash-p.opp.cash,dWP:n.market.prices.WHEAT-p.market.prices.WHEAT,preWP:p.market.prices.WHEAT}}\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,variant,seeds,refs:{}};for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,legalTelemetry:'FULL'});const rows=r.games.map(sig),hist:any={};for(const x of rows)hist[x.res]=(hist[x.res]??0)+1;out.refs[ref]={hist,rows}}console.log(JSON.stringify(out,null,2));",[],[365],"c7a7d572-007c-48da-b6a5-83a260e20898","legal_broker_lena_firstdiff_cv_v1.ts","68d22c40-ab14-11f1-a3be-1607ee4eb77e",28,["D",1788823957094],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst seeds=[100577,100591,100609,100621],refs=['broker_bea.py','ledger_lena.py'];const data:any={};for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,legalTelemetry:'FULL'});for(const g of r.games)data[`${ref}|${g.seed}|${g.ourSeat}`]=g.legalTrace}\nfunction diff(a:any,b:any,path=''):any[]{if(a===b)return[];if(typeof a!=='object'||a===null||typeof b!=='object'||b===null)return[{path,a,b}];if(Array.isArray(a)||Array.isArray(b))return JSON.stringify(a)===JSON.stringify(b)?[]:[{path,a,b}];return[...new Set([...Object.keys(a),...Object.keys(b)])].flatMap(k=>diff(a?.[k],b?.[k],path?`${path}.${k}`:k))}\nconst rows=[];for(const seed of seeds)for(const seat of [0,1]){const a=data[`broker_bea.py|${seed}|${seat}`],b=data[`ledger_lena.py|${seed}|${seat}`];let i=0;while(ix.ourSeat===0)){const p=g.legalTrace.find((x:any)=>x.day===12&&x.hour===1),n=g.legalTrace.find((x:any)=>x.day===12&&x.hour===2),a=g.selfActionTrace.find((x:any)=>x.day===12&&x.hour===1);data[`${ref}|${g.seed}`]={p,n,a,res:n.market.inventory.WHEAT-p.market.inventory.WHEAT-Number(a?.marketFlow?.WHEAT??0),dCash:n.opp.cash-p.opp.cash}}}const rows=seeds.map(seed=>{const b=data[`broker_bea.py|${seed}`],l=data[`ledger_lena.py|${seed}`],p=b.p;return{seed,context:{oppCash:p.opp.cash,land:p.opp.land,crops:p.opp.crops,cropMix:p.opp.cropMix,pastures:p.opp.pastures,animals:p.opp.animals,shops:p.shops,prices:p.market.prices,inv:{WHEAT:p.market.inventory.WHEAT,MELON:p.market.inventory.MELON,FERTILIZER:p.market.inventory.FERTILIZER},selfFlow:b.a.marketFlow},broker:{res:b.res,dCash:b.dCash},lena:{res:l.res,dCash:l.dCash},gap:{res:l.res-b.res,dCash:l.dCash-b.dCash}}});console.log(JSON.stringify({status:'PASS',evidenceState:'LEGAL_SHARED_CONTEXT_PAIR_GAP',rows},null,2));",[],[381],"da96ff79-785f-4c14-84c0-ab34234fb297","legal_broker_lena_animal_conditional_v1.ts","c04cbd46-ab19-11f1-923f-1607ee4eb77e",["D",1788826251386],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[100941,100943,100957,100963,100981,100987,100999,101009,101021,101027,101039,101051],refs=['broker_bea.py','ledger_lena.py'];const out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,seeds,refs:{}};\nfor(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds,legalTelemetry:'FULL'});const hist:any={},rows:any[]=[];for(const g of r.games){const p=g.legalTrace.find((x:any)=>x.day===12&&x.hour===1),n=g.legalTrace.find((x:any)=>x.day===12&&x.hour===2),a=g.selfActionTrace.find((x:any)=>x.day===12&&x.hour===1),res=n.market.inventory.WHEAT-p.market.inventory.WHEAT-Number(a?.marketFlow?.WHEAT??0),key=`A${p.opp.animals}_P${p.opp.pastures}_R${res}`;hist[key]=(hist[key]??0)+1;if(g.ourSeat===0)rows.push({seed:g.seed,animals:p.opp.animals,pastures:p.opp.pastures,res,dCash:n.opp.cash-p.opp.cash,preWP:p.market.prices.WHEAT,crops:p.opp.crops})}out.refs[ref]={hist,rows}}\nconsole.log(JSON.stringify(out,null,2));",[],[389],"a87ee821-8a7e-4194-931d-c8a6a5efc590","legal_all_landmarks_v1.ts","36250b0e-ab15-11f1-a497-1607ee4eb77e",34,["D",1788824301614],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\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'],seed=100577;const steps=[1,24,48,57,72,144,216,288,290];const out:any={status:'PASS',evidenceState:'LEGAL_ALL_REFERENCE_LANDMARKS',seed,refs:{}};\nfor(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds:[seed],legalTelemetry:'FULL'});const g=r.games.find((x:any)=>x.ourSeat===0);const rows:any={};for(const st of steps){const x=g.legalTrace.find((q:any)=>q.step===st);rows[st]=x?{day:x.day,hour:x.hour,cash:x.opp.cash,land:x.opp.land,crops:x.opp.crops,pastures:x.opp.pastures,animals:x.opp.animals,cropMix:x.opp.cropMix,animalMix:x.opp.animalMix,wheatP:x.market.prices.WHEAT,wheatI:x.market.inventory.WHEAT,melonP:x.market.prices.MELON,melonI:x.market.inventory.MELON}:null}out.refs[ref]=rows}\nconsole.log(JSON.stringify(out,null,2));",[],[396],"3ccb73f8-77f4-4bdf-b20e-4e6cbee7e7b5","core_v21_behavior_signature.ts","67a3921c-ab16-11f1-ba4f-1607ee4eb77e",35,["D",1788824814150],"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));",[],[404],"f008336b-2ae8-41e8-be5b-50d930f48c38","README.md","01a07e16-7188-7479-b3b0-55017c37b86b",["D",1788821795245],"# Kaggriculture Autolab Worker\n\nDedicated autonomous compute sidecar for `cleitoncosta/chat-native-maestro@economic-v0.6`.\n\n- Trigger: `worker.ts`\n- Schedule: every 15 minutes (Free-tier minimum)\n- Queue: `kag_autolab_queue`\n- Runs: `kag_autolab_runs`\n- State: `kag_autolab_state`\n- Artifact mirror: `kag_autolab_artifacts`\n- Blob artifact prefix: `artifacts/kaggriculture/autolab/`\n\nThe worker performs only reversible research/compute work. It does not submit to Kaggle, spend funds, handle KYC/payout, or expose secrets. Public reference agents are used as black-box opponents; non-licensed TRACE/replay-plan content is not incorporated.\n",[],[412],"13dc26c1-f82f-4e56-b966-5a9e17e17638","kaggriculture_livestock_portfolio.ts","01a07e16-7188-7479-b3b0-4d9f6358a632","01a07e16-7188-7479-b3b0-5210be15bf77",["D",1788821795245],"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",[],[426,419],"lib","3d22d9ec-fcd1-4356-baa0-c541697839aa","kaggriculture_engine_loader.ts","01a07e16-7188-7479-b3b0-48c5c1b31022",["D",1788821795245],"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",[],[426,428],"ab1880d5-cded-4640-9322-a46d2d4e848f","kag_autolab_core.ts","01a07e16-7188-7479-b3b0-441f647f188a",46,["D",1788825917632],"import { unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './kaggriculture_engine_loader.ts';\nimport { choosePastureAnimal } from './kaggriculture_livestock_portfolio.ts';\n\nexport const AUTOLAB_CORE_VERSION = 'KAG_AUTOLAB_CORE_V23_LEGAL_SELF_MEMORY';\nconst REF_DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst REF_ALIASES:Record={\n 'lena_optimist.py':'ledger_lena.py',\n 'silas_strategist.py':'slotter_silas.py',\n};\nfunction canonicalRefName(name:string){return REF_ALIASES[name]??name}\nconst CHECK_DAYS=new Set([0,3,6,9,12,15,18,21,24,27,29]);\nlet runtimePromise:Promise|null=null;\n\nfunction avg(xs:number[]){return xs.length?xs.reduce((a,b)=>a+b,0)/xs.length:0}\nfunction profilePublic(f:any){let crops=0,pastures=0,animals=0;const cropMix:any={},animalMix:any={};for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;if(t.kind==='PASTURE')pastures++;if(t.animal){animals++;animalMix[t.animal]=(animalMix[t.animal]??0)+1}const c=t.crop??t.plant??(t.kind==='PLANT'?t.type:null);if(c){crops++;cropMix[c]=(cropMix[c]??0)+1}}return{cash:+(f?.money??0),land:(f?.unlocked_quadrants??[]).length,crops,pastures,animals,cropMix,animalMix}}\nconst LEGAL_MARKET_ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nfunction legalObserverFeature(o:any){const me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]),prices:any={},inventory:any={};for(const item of LEGAL_MARKET_ITEMS){prices[item]=Number(o.market?.prices?.[item]??0);inventory[item]=Number(o.market?.inventory?.[item]??0)}return{step:+o.step,day:+o.day,hour:+o.hour,me,opp,market:{prices,inventory},shops:[...(o.town?.unlocked_shops??[])]}}\nfunction gapDiagnostics(games:any[],perspective:'A'|'OURS'){\n const days=[0,3,6,9,12,15,18,21,24,27,29];\n const trajectory=days.map(day=>{const rows=games.map(g=>(g.timeline??[]).find((x:any)=>x.day===day)).filter(Boolean);const gaps=rows.map((x:any)=>perspective==='A'?x.a.cash-x.b.cash:x.ours.cash-x.ref.cash);return{day,gapMean:avg(gaps),gapMin:gaps.length?Math.min(...gaps):0,gapMax:gaps.length?Math.max(...gaps):0}});\n const windows=trajectory.slice(1).map((x,i)=>({fromDay:trajectory[i].day,toDay:x.day,gapChange:x.gapMean-trajectory[i].gapMean}));\n const largestGapGrowth=[...windows].sort((a,b)=>Math.abs(b.gapChange)-Math.abs(a.gapChange))[0]??null;\n return{trajectory,windows,largestGapGrowth};\n}\nasync function ensureRuntime(){\n if(runtimePromise)return runtimePromise;\n runtimePromise=(async()=>{\n const E=await loadOfficialKaggricultureEngine();\n const rr=await fetch(REF_DATASET);if(!rr.ok)throw new Error(`reference dataset HTTP ${rr.status}`);\n const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\n const py=await loadPyodide();\n py.runPython(`import json,copy\\n_REG={}\\n_SRC={}\\n_D=None\\n_BASE=None`);\n const loaded=new Set();\n async function loadRef(name:string){if(loaded.has(name))return;if(!z[name])throw new Error(`missing reference agent ${name}`);py.globals.set('nm',name);py.globals.set('src',strFromU8(z[name]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`);loaded.add(name)}\n await loadRef('rancher_rita.py');\n py.globals.set('src',strFromU8(z['rancher_rita.py']));\n py.runPython(`_d={}\\nexec(src,_d)\\n_D=_d\\n_BASE=copy.deepcopy(_d['POLICY'])\\ndef reset_ref(n):\\n _n={}\\n exec(_SRC[n],_n)\\n _REG[n]=_n['agent']\\ndef call_ref(n,p): return json.dumps(_REG[n](json.loads(p)))\\ndef call_dyn(p): return json.dumps(_D['agent'](json.loads(p)))\\ndef reset_dyn(variant):\\n _D['POLICY'].clear();_D['POLICY'].update(copy.deepcopy(_BASE));_D['POLICY']['animal_target']={'COW':0,'SHEEP':0}\\n if variant in ('MIX11_FERT','M40_FERT','M50_FERT','M60_FERT','ADAPT_V1') or variant.startswith('DP_'):_D['POLICY']['collect_fertilizer']=True\\n if variant in ('M40_FERT','M50_FERT','M60_FERT','ADAPT_V1') or variant.startswith('DP_'):\\n m={'M40_FERT':0.4,'M50_FERT':0.5,'M60_FERT':0.6,'ADAPT_V1':0.6}.get(variant,0.6);_D['POLICY']['crops']=['WHEAT','MELON'];_D['POLICY']['crop_share']={'WHEAT':1.0-m,'MELON':m};_D['POLICY']['plant_until']={'WHEAT':25,'MELON':16};_D['POLICY']['sell_order']=['MELON','MILK','WOOL','WHEAT'];_D['POLICY']['price_floor']={'MELON':80};_D['POLICY']['sell_chunk']=12\\ndef set_crop_policy(m):\\n m=max(0.2,min(0.8,float(m)));_D['POLICY']['crops']=['WHEAT','MELON'];_D['POLICY']['crop_share']={'WHEAT':1.0-m,'MELON':m}\\ndef set_wheat_only():\\n _D['POLICY']['crops']=['WHEAT'];_D['POLICY']['crop_share']={'WHEAT':1.0}\\ndef set_crop_mix3(w,m,s):\\n _D['POLICY']['crops']=['WHEAT','MELON','STRAWBERRY'];_D['POLICY']['crop_share']={'WHEAT':float(w),'MELON':float(m),'STRAWBERRY':float(s)}\\ndef set_herd(c,s,o):\\n _D['POLICY']['animal_target']={'COW':int(c),'SHEEP':int(s)};_D['POLICY']['animals']=json.loads(o)\\ndef set_ops(h,b):\\n _D['POLICY']['hands']=int(h);_D['POLICY']['build'][0]['target']=int(b);_D['POLICY']['land_after_animals']=10\\ndef set_build(b):\\n _D['POLICY']['build'][0]['target']=int(b)\\ndef set_base_build():\\n _D['POLICY']['build'][0]['target']=int(_BASE['build'][0]['target'])\\ndef set_land_after(n):\\n _D['POLICY']['land_after_animals']=int(n)`);\n return{E,py,z,loadRef,resetRef:py.globals.get('reset_ref'),callRef:py.globals.get('call_ref'),callDyn:py.globals.get('call_dyn'),resetDyn:py.globals.get('reset_dyn'),setCrop:py.globals.get('set_crop_policy'),setWheatOnly:py.globals.get('set_wheat_only'),setMix3:py.globals.get('set_crop_mix3'),setHerd:py.globals.get('set_herd'),setOps:py.globals.get('set_ops'),setBuild:py.globals.get('set_build'),setBaseBuild:py.globals.get('set_base_build'),setLand:py.globals.get('set_land_after')};\n })();\n return runtimePromise;\n}\nfunction own(o:any,a:string){const me=+o.player,f=o.farms[me];let n=+(o.private?.shed?.[a]??0);for(const i of o.private?.inventories??[])n+=+(i?.[a]??0);for(const row of f.tiles??[])for(const t of row??[])if(t&&typeof t==='object'&&t.animal===a)n++;return n}\nfunction enforceAnimals(o:any,act:any,t:any){const x:any={COW:own(o,'COW'),SHEEP:own(o,'SHEEP')},market:any[]=[];for(const m of act?.market??[]){if(Array.isArray(m)&&m[0]==='BUY_ANIMAL'&&(m[1]==='COW'||m[1]==='SHEEP')){const a=m[1],q=Math.max(0,Math.min(+m[2]||1,t[a]-x[a]));if(q){market.push(['BUY_ANIMAL',a,q]);x[a]+=q}}else market.push(m)}return{...act,market}}\nfunction addFertSell(o:any,act:any){const q=+(o.private?.shed?.FERTILIZER??0),p=+(o.market?.prices?.FERTILIZER??0);if(q>0&&p>=60&&(act.market?.length??0)<10)return{...act,market:[...(act.market??[]),['SELL','FERTILIZER',Math.min(20,q)]]};return act}\nfunction inventoryQty(o:any,item:string){let q=+(o.private?.shed?.[item]??0);for(const inv of o.private?.inventories??[])q+=+(inv?.[item]??0);return q}\nfunction addValueLiquidation(o:any,act:any,variant:string){const day=+o.day,hour=+o.hour,target=variant==='MIX11_LIQ21'?21:variant==='MIX11_LIQ24'?24:-1;if(hour!==0||day!==target||(act.market?.length??0)>=10)return act;const already:any={};for(const m of act.market??[])if(Array.isArray(m)&&m[0]==='SELL')already[String(m[1])]=(already[String(m[1])]??0)+(+m[2]||0);const items=['STRAWBERRY','MELON','MILK','WOOL','WHEAT','FERTILIZER'];const ranked=items.map(item=>{const q=Math.max(0,inventoryQty(o,item)-(already[item]??0)),p=+(o.market?.prices?.[item]??0);return{item,q,p,value:q*p}}).filter(x=>x.q>0&&x.p>0).sort((a,b)=>b.value-a.value);if(!ranked.length)return act;const x=ranked[0],q=Math.min(12,x.q,Math.max(1,Math.ceil(x.q*0.25)));return{...act,market:[...(act.market??[]),['SELL',x.item,q]]}}\nfunction actionSummary(act:any){const out:any={marketOps:0,sellOps:0,sellQty:0,sellByItem:{},buyOps:0,buyQty:0,buyByItem:{},hands:Array.isArray(act?.hands)?act.hands.length:0,farmer:Array.isArray(act?.farmer)?String(act.farmer[0]??''):''};for(const m of act?.market??[]){if(!Array.isArray(m))continue;out.marketOps++;const op=String(m[0]??''),item=String(m[1]??'UNKNOWN');const q=Number(m[2]??1)||0;if(op==='SELL'){out.sellOps++;out.sellQty+=q;out.sellByItem[item]=(out.sellByItem[item]??0)+q}else if(op.startsWith('BUY')){out.buyOps++;out.buyQty+=q;out.buyByItem[item]=(out.buyByItem[item]??0)+q}}return out}\nfunction selfMarketFlow(act:any){const flow:any={};for(const m of act?.market??[]){if(!Array.isArray(m))continue;const op=String(m[0]??''),item=String(m[1]??''),q=Number(m[2]??1)||0;if(!LEGAL_MARKET_ITEMS.includes(item)||q<=0)continue;if(op==='SELL')flow[item]=(flow[item]??0)+q;else if(op.startsWith('BUY'))flow[item]=(flow[item]??0)-q}return flow}\nfunction accumulateAction(dst:any,s:any){dst.marketOps=(dst.marketOps??0)+s.marketOps;dst.sellOps=(dst.sellOps??0)+s.sellOps;dst.sellQty=(dst.sellQty??0)+s.sellQty;dst.buyOps=(dst.buyOps??0)+s.buyOps;dst.buyQty=(dst.buyQty??0)+s.buyQty;dst.hands=(dst.hands??0)+s.hands;dst.farmer=dst.farmer??{};if(s.farmer)dst.farmer[s.farmer]=(dst.farmer[s.farmer]??0)+1;dst.sellByItem=dst.sellByItem??{};for(const [k,v] of Object.entries(s.sellByItem??{}))dst.sellByItem[k]=(dst.sellByItem[k]??0)+Number(v);dst.buyByItem=dst.buyByItem??{};for(const [k,v] of Object.entries(s.buyByItem??{}))dst.buyByItem[k]=(dst.buyByItem[k]??0)+Number(v);return dst}\nasync function playRefVsRef(a:string,b:string,seed:number,aSeat:0|1){a=canonicalRefName(a);b=canonicalRefName(b);const R=await ensureRuntime();await R.loadRef(a);await R.loadRef(b);R.resetRef(a);R.resetRef(b);const cfg=R.E.state.resolveConfig({seed});let s=R.E.state.initGameState(2,cfg,seed),errors=0;const timeline:any[]=[],actionTimeline:any[]=[],actionWindows:any={};while(!s.done){if(+s.hour===0&&CHECK_DAYS.has(+s.day)){const fa=profilePublic(s.farms[aSeat]),fb=profilePublic(s.farms[1-aSeat]);timeline.push({day:+s.day,a:fa,b:fb,shops:[...(s.town?.unlocked_shops??[])],market:{WHEAT:+s.market.prices.WHEAT,MELON:+s.market.prices.MELON,MILK:+s.market.prices.MILK,WOOL:+s.market.prices.WOOL,STRAWBERRY:+s.market.prices.STRAWBERRY}})}const acts:any[]=[];for(const pid of [0,1] as const){const o=observationFor(s,pid),name=pid===aSeat?a:b;try{acts[pid]=JSON.parse(String(R.callRef(name,JSON.stringify(o))))}catch(e){errors++;acts[pid]={farmer:['PASS'],hands:[],market:[]}}}if(+s.hour===0&&CHECK_DAYS.has(+s.day))actionTimeline.push({day:+s.day,a:actionSummary(acts[aSeat]),b:actionSummary(acts[1-aSeat])});s=R.E.interpreter.step(s,acts,cfg)}const aBank=+s.farms[aSeat].money,bBank=+s.farms[1-aSeat].money;return{seed,aSeat,aBank,bBank,margin:aBank-bBank,winner:aBank>bBank?'A':aBank=9?'H':'N';if(variant==='DP_W')return day>=9?'W':'N';if(variant==='DP_B')return day>=9?'B':'N';if(variant==='DP_H_PULSE')return day>=9&&day<12?'H':'N';if(variant==='DP_B_PULSE')return day>=9&&day<12?'B':'N';if(variant==='DP_COND'||variant==='DP_COND_PULSE'){const counts=(n:string)=>shops.filter((x:string)=>x===n).length;const bounded=variant==='DP_COND_PULSE';if(day>=6&&(!bounded||day<9)&&counts('FARMERS_MARKET')>=2&&opp.animals-me.animals>=3)return 'B';if(day>=9&&(!bounded||day<12)&&opp.land-me.land>=1&&opp.crops-me.crops>=8&&opp.animals-me.animals>=5){if(counts('PET_CAFE')>=1&&counts('FARMERS_MARKET')===0&&(counts('ICE_CREAM_SHOP')>=1||counts('PIZZA_SHOP')>=1))return 'H';return 'W'}}return 'N'}\nfunction adaptiveCropDecision(o:any){const day=+o.day,me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]);const om=Number(opp.cropMix?.MELON??0),ow=Number(opp.cropMix?.WHEAT??0),rel=om+ow,cashGap=me.cash-opp.cash,cropGap=opp.crops-me.crops;if(day<6||rel<6)return{share:0.60,mode:'BASE',reason:'INSUFFICIENT_SIGNAL',cashGap,cropGap,oppMelonShare:rel?om/rel:0};const melonShare=om/rel,wheatShare=ow/rel;if(melonShare>=0.58)return{share:0.40,mode:'ANTI_GLUT_MELON',reason:'OPP_MELON_CONCENTRATION',cashGap,cropGap,oppMelonShare:melonShare};if(wheatShare>=0.68)return{share:0.70,mode:'COMPLEMENT_WHEAT_HEAVY',reason:'OPP_WHEAT_CONCENTRATION',cashGap,cropGap,oppMelonShare:melonShare};if(cropGap>=8&&cashGap<=-2500)return{share:0.70,mode:'UPSIDE_CHASE',reason:'BEHIND_CROP_AND_CASH',cashGap,cropGap,oppMelonShare:melonShare};if(cashGap>=3500)return{share:0.50,mode:'LEAD_DE_RISK',reason:'CASH_LEAD',cashGap,cropGap,oppMelonShare:melonShare};return{share:0.60,mode:'BALANCED',reason:'NO_STRONG_SIGNAL',cashGap,cropGap,oppMelonShare:melonShare}}\nfunction ewma(old:number,x:number,a=0.25){return old*(1-a)+x*a}\nfunction cropDistance(a:any,b:any){const ks=new Set([...Object.keys(a??{}),...Object.keys(b??{})]);let s=0,t=0;for(const k of ks){const av=Number(a?.[k]??0),bv=Number(b?.[k]??0);s+=Math.abs(av-bv);t+=Math.max(av,bv)}return t?s/t:0}\nfunction obgInit(){return{observations:0,marketReactive:0.5,expansionRusher:0.5,ourStateAwareness:0.5,adaptability:0.5,prevOpp:null as any,prevUs:null as any,prevMarket:null as any,lastMode:'INIT'}}\nfunction obgUpdate(o:any,g:any){const me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]),m={WHEAT:+o.market?.prices?.WHEAT||0,MELON:+o.market?.prices?.MELON||0,STRAWBERRY:+o.market?.prices?.STRAWBERRY||0};if(g.prevOpp&&g.prevUs&&g.prevMarket){const md=Math.max(...Object.keys(m).map(k=>{const p=Number(g.prevMarket?.[k]??0),n=Number((m as any)[k]??0);return p>0?Math.abs(n-p)/p:0}));const od=cropDistance(opp.cropMix,g.prevOpp.cropMix),ourDelta=cropDistance(me.cropMix,g.prevUs.cropMix)+Math.min(1,Math.abs(me.land-g.prevUs.land)/2),expand=(opp.land>g.prevOpp.land||opp.crops-g.prevOpp.crops>=6||opp.land>me.land||opp.crops-me.crops>=8)?1:0;g.expansionRusher=ewma(g.expansionRusher,expand);if(md>=0.08)g.marketReactive=ewma(g.marketReactive,Math.min(1,od*3));if(ourDelta>=0.12&&md<0.08)g.ourStateAwareness=ewma(g.ourStateAwareness,Math.min(1,od*3));g.adaptability=ewma(g.adaptability,Math.min(1,(od+Math.abs(opp.land-g.prevOpp.land)*0.35)));}g.prevOpp=opp;g.prevUs=me;g.prevMarket=m;g.observations++;return{me,opp,market:m}}\nfunction obgFastDecision(o:any,g:any){const s=obgUpdate(o,g),me=s.me,opp=s.opp,day=+o.day,om=Number(opp.cropMix?.MELON??0),ow=Number(opp.cropMix?.WHEAT??0),rel=om+ow,melonShare=rel?om/rel:0,wheatShare=rel?ow/rel:0,cashGap=me.cash-opp.cash,cropGap=opp.crops-me.crops,landGap=opp.land-me.land;let share=0.60,mode='BALANCED',hands=8,build=Math.max(4,Math.min(16,own(o,'COW')+own(o,'SHEEP')+2));if(rel>=6&&melonShare>=0.58){share=0.40;mode='ANTI_MELON_CONCENTRATION'}else if(rel>=6&&wheatShare>=0.68&&s.market.MELON>=90){share=0.70;mode='COMPLEMENT_WHEAT_HEAVY'}if(day>=6&&(landGap>=1||cropGap>=8)&&g.expansionRusher>=0.45){hands=9;build=Math.max(build,14);mode+='|COUNTER_EXPANSION'}if(cashGap>=4500&&cropGap<=2){share=Math.min(share,0.50);hands=8;mode+='|LEAD_DERISK'}if(cashGap<=-3000&&cropGap>=8&&g.adaptability>=0.35){share=Math.max(share,0.68);hands=9;build=16;mode+='|CHASE'}g.lastMode=mode;return{share,hands,build,mode,profile:{marketReactive:g.marketReactive,expansionRusher:g.expansionRusher,ourStateAwareness:g.ourStateAwareness,adaptability:g.adaptability,observations:g.observations},cashGap,cropGap,landGap,oppMelonShare:melonShare}}\n\nasync function playOurVsRef(variant:string,ref:string,seed:number,ourSeat:0|1,opts:any={}){ref=canonicalRefName(ref);const R=await ensureRuntime();await R.loadRef(ref);R.resetRef(ref);R.resetDyn((variant==='M60_FERT_JIT'||variant==='DEPLOY10'||variant==='HERD4'||variant==='LAND6'||variant==='PHASE3')?'M60_FERT':variant);const cfg=R.E.state.resolveConfig({seed});let s=R.E.state.initGameState(2,cfg,seed),errors=0,tg:any={COW:0,SHEEP:0},comm=false,liqChecks=0,liqApplied=0,liqOpportunityQty=0,jitChecks=0,jitTargetSum=0;const timeline:any[]=[],actionTimeline:any[]=[],dailyActions:any[]=[],legalTrace:any[]=[],selfActionTrace:any[]=[],obg=obgInit(),obgTrace:any[]=[];const oracle=opts.oracleActionTelemetry==='FULL';let actionDay=-1,dayActsOur:any={},dayActsRef:any={};while(!s.done){if(opts.legalTelemetry==='FULL')legalTrace.push(legalObserverFeature(observationFor(s,ourSeat)));if(+s.hour===0&&CHECK_DAYS.has(+s.day)){timeline.push({day:+s.day,ours:profilePublic(s.farms[ourSeat]),ref:profilePublic(s.farms[1-ourSeat]),shops:[...(s.town?.unlocked_shops??[])],market:{WHEAT:+s.market.prices.WHEAT,MELON:+s.market.prices.MELON,MILK:+s.market.prices.MILK,WOOL:+s.market.prices.WOOL,STRAWBERRY:+s.market.prices.STRAWBERRY}})}const acts:any[]=[];for(const pid of [0,1] as const){const o=observationFor(s,pid);try{if(pid===ourSeat){if(variant.startsWith('DP_')){const owned=own(o,'COW')+own(o,'SHEEP'),mode=deploymentMode(o,variant),h=(mode==='H'||mode==='B')?9:8,b=(mode==='W'||mode==='B')?16:Math.max(4,Math.min(16,owned+2));R.setOps(h,b)}if(variant==='M60_FERT_JIT'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(16,owned+2));R.setBuild(b);jitChecks++;jitTargetSum+=b}if(variant==='PASTURE_RAMP'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(14,owned+2));R.setBuild(b);jitChecks++;jitTargetSum+=b}if(variant==='DEPLOY10'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(14,owned+2));R.setOps(9,b)}if(variant==='ADAPT_V1'&&+o.hour===0){R.setCrop(adaptiveCropDecision(o).share)}if(variant==='EARLY_MELON40'&&+o.hour===0){if(+o.day<6)R.setCrop(0.40);else if(+o.day===6)R.setWheatOnly()}if((variant==='EARLY_BUILD4'||variant==='EARLY_HERD_BUILD4'||variant==='EARLY_HERD_BUILD8')&&+o.hour===0){if(+o.day<6)R.setBuild(variant==='EARLY_HERD_BUILD8'?8:4);else if(+o.day===6)R.setBaseBuild()}if((variant==='LAND6'||variant==='LAND_AFTER6_CLEAN')&&+o.hour===0){R.setLand(6)}if(variant==='PHASE3'&&+o.hour===0&&+o.day>=6){R.setMix3(0.20,0.30,0.50)}if(variant==='PORTFOLIO_D6_244'&&+o.hour===0&&+o.day>=6){R.setMix3(0.20,0.40,0.40)}if(+o.hour===0){const ow={COW:own(o,'COW'),SHEEP:own(o,'SHEEP')};tg={...ow};if(!comm){comm=ow.COW>=1&&ow.SHEEP>=1;if(!comm)tg={COW:Math.max(1,ow.COW),SHEEP:Math.max(1,ow.SHEEP)}}if(comm){const total=ow.COW+ow.SHEEP,c=choosePastureAnimal(o,{cashBuffer:400,strategicWeight:0});if(total<16&&c.choice){const step=variant==='HERD4'?4:2;tg[c.choice]+=Math.min(step,16-total);}R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(c.ranking.map((x:any)=>x.animal).filter((x:string)=>x==='COW'||x==='SHEEP')))}else R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(['SHEEP','COW']))}if((variant==='EARLY_HERD3'||variant==='EARLY_HERD4'||variant==='EARLY_HERD5'||variant==='EARLY_HERD_BUILD4'||variant==='EARLY_HERD_BUILD8')&&+o.hour===0&&+o.day<6){tg={COW:Math.max(variant==='EARLY_HERD3'?2:variant==='EARLY_HERD5'?4:3,own(o,'COW')),SHEEP:Math.max(1,own(o,'SHEEP'))};R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(['COW','SHEEP']))}let a=enforceAnimals(o,JSON.parse(String(R.callDyn(JSON.stringify(o)))),tg);if(variant==='MIX11_FERT'||variant==='M40_FERT'||variant==='M50_FERT'||variant.startsWith('M60_FERT')||variant.startsWith('DP_')||variant==='ADAPT_V1'||variant==='DEPLOY10'||variant==='HERD4'||variant==='LAND6'||variant==='PHASE3')a=addFertSell(o,a);if(variant==='MIX11_LIQ21'||variant==='MIX11_LIQ24'){const target=variant==='MIX11_LIQ21'?21:24;if(+o.hour===0&&+o.day===target){liqChecks++;for(const item of ['STRAWBERRY','MELON','MILK','WOOL','WHEAT','FERTILIZER'])liqOpportunityQty+=inventoryQty(o,item);const before=JSON.stringify(a.market??[]);a=addValueLiquidation(o,a,variant);if(JSON.stringify(a.market??[])!==before)liqApplied++}}acts[pid]=a}else acts[pid]=JSON.parse(String(R.callRef(ref,JSON.stringify(o))))}catch(e){errors++;acts[pid]={farmer:['PASS'],hands:[],market:[]}}}const sd=+s.day;if(oracle){if(actionDay!==sd){if(actionDay>=0)dailyActions.push({day:actionDay,ours:dayActsOur,ref:dayActsRef});actionDay=sd;dayActsOur={};dayActsRef={}}const ourActSummary=actionSummary(acts[ourSeat]),refActSummary=actionSummary(acts[1-ourSeat]);accumulateAction(dayActsOur,ourActSummary);accumulateAction(dayActsRef,refActSummary);if(+s.hour===0&&CHECK_DAYS.has(sd))actionTimeline.push({day:sd,ours:ourActSummary,ref:refActSummary})}if(opts.legalTelemetry==='FULL')selfActionTrace.push({step:+s.step,day:+s.day,hour:+s.hour,marketFlow:selfMarketFlow(acts[ourSeat])});if(+s.hour===0&&CHECK_DAYS.has(sd)){const oo=observationFor(s,ourSeat);obgUpdate(oo,obg);obgTrace.push({day:sd,profile:{marketReactive:obg.marketReactive,expansionRusher:obg.expansionRusher,ourStateAwareness:obg.ourStateAwareness,adaptability:obg.adaptability,observations:obg.observations},evidenceState:'HEURISTIC_CORRELATIONAL_UNCALIBRATED'})}s=R.E.interpreter.step(s,acts,cfg)}if(oracle&&actionDay>=0)dailyActions.push({day:actionDay,ours:dayActsOur,ref:dayActsRef});const ourBank=+s.farms[ourSeat].money,refBank=+s.farms[1-ourSeat].money;return{variant,ref,seed,ourSeat,ourBank,refBank,margin:ourBank-refBank,winner:ourBank>refBank?'OURS':ourBankg.winner==='A').length,winsB=games.filter(g=>g.winner==='B').length,ties=games.filter(g=>g.winner==='TIE').length;\n return{kind:jobType,a,b,seeds,episodes:games.length,winsA,winsB,ties,scoreA:(winsA+0.5*ties)/games.length,avgMarginA:avg(games.map(g=>g.margin)),avgBankA:avg(games.map(g=>g.aBank)),avgBankB:avg(games.map(g=>g.bBank)),errors:games.reduce((s,g)=>s+g.errors,0),gap:gapDiagnostics(games,'A'),games};\n }\n if(jobType==='OUR_VS_REFERENCE'){\n const variant=String(payload.variant??'MIX11'),ref=String(payload.ref),seeds=(payload.seeds??[]).map(Number);if(!ref||!seeds.length)throw new Error('OUR_VS_REFERENCE requires ref,seeds');if(!['MIX11','MIX11_FERT','M40_FERT','M50_FERT','M60_FERT','M60_FERT_JIT','MIX11_LIQ21','MIX11_LIQ24','DP_H','DP_W','DP_B','DP_COND','DP_H_PULSE','DP_B_PULSE','DP_COND_PULSE','ADAPT_V1','DEPLOY10','HERD4','LAND6','PHASE3','EARLY_MELON40','EARLY_HERD3','EARLY_HERD4','EARLY_HERD5','EARLY_BUILD4','EARLY_HERD_BUILD4','EARLY_HERD_BUILD8','PASTURE_RAMP','LAND_AFTER6_CLEAN','PORTFOLIO_D6_244'].includes(variant))throw new Error(`unsupported variant ${variant}`);\n const games:any[]=[];const opts={legalTelemetry:String(payload.legalTelemetry??'NONE'),oracleActionTelemetry:String(payload.oracleActionTelemetry??'NONE')};for(const seed of seeds){games.push(await playOurVsRef(variant,ref,seed,0,opts));games.push(await playOurVsRef(variant,ref,seed,1,opts))}\n const wins=games.filter(g=>g.winner==='OURS').length,losses=games.filter(g=>g.winner==='REF').length,ties=games.filter(g=>g.winner==='TIE').length;\n return{kind:jobType,variant,ref,seeds,episodes:games.length,wins,losses,ties,score:(wins+0.5*ties)/games.length,avgMargin:avg(games.map(g=>g.margin)),avgOurBank:avg(games.map(g=>g.ourBank)),avgRefBank:avg(games.map(g=>g.refBank)),errors:games.reduce((s,g)=>s+g.errors,0),gap:gapDiagnostics(games,'OURS'),games};\n }\n throw new Error(`unsupported job_type ${jobType}`);\n}\n\nexport function renderArtifactMarkdown(job:any,result:any){const lines=[`# Kaggriculture Autolab Run`,``,`- Core: ${AUTOLAB_CORE_VERSION}` ,`- Job: ${job.job_id}` ,`- Type: ${job.job_type}` ,`- Evidence: AUTOLAB_COMPUTE_RESULT_NOT_CHAMPION_PROOF`,`- Generated: ${new Date().toISOString()}`,``];if(result.kind==='PUBLIC_CROSSPLAY'){lines.push(`## Public crossplay`,``,`**${result.a} vs ${result.b}** — ${result.winsA}-${result.winsB}-${result.ties}, score A ${(100*result.scoreA).toFixed(1)}%, avg margin A ${result.avgMarginA.toFixed(1)}.`,``,`Largest observed gap-change window: ${JSON.stringify(result.gap.largestGapGrowth)}.`)}else{lines.push(`## Our agent vs reference`,``,`**${result.variant} vs ${result.ref}** — W/L/T ${result.wins}/${result.losses}/${result.ties}, score ${(100*result.score).toFixed(1)}%, avg margin ${result.avgMargin.toFixed(1)}.`,``,`Largest observed gap-change window: ${JSON.stringify(result.gap.largestGapGrowth)}.`)}lines.push(``,`## Guardrails`,``,`This artifact is laboratory evidence only. No Kaggle submission, spend, KYC, token use, or promotion to champion occurred. Public high-tier agents were used as black-box opponents; no non-licensed TRACE content was incorporated.`);return lines.join('\\n')}\n",[],[426,435],"b94b6dfe-1d4d-4087-bed0-513609127046",["D",1788821795245],"directory",[177,178,179],[426],["D",1788770222210],["D",1789550457365],{"_11":12,"_128":75},{"_11":12,"_123":124,"_74":75,"_30":73,"_125":126,"_127":24},{"_38":113,"_13":16,"_32":35,"_114":77,"_115":64,"_116":117,"_118":81,"_119":77,"_120":41,"_121":14,"_122":12},"ctx",{"_53":-5,"_148":485,"_486":487,"_488":489,"_490":24,"_491":24,"_492":24,"_493":159,"_494":-5,"_495":-7,"_496":-7,"_497":26,"_498":24,"_499":24,"_500":-5,"_501":24,"_502":24,"_503":24,"_504":-5},"ENV",{"_456":457,"_458":459,"_460":65,"_461":462,"_463":464,"_465":466,"_467":468,"_469":470,"_471":472,"_473":474,"_475":476,"_477":478,"_479":480,"_481":482,"_483":484},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","811aa22498c9b0b5a47e8d778de579cdb990f332","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

History · worker.ts