[{"_1":2,"_3":-5,"_4":-5},"loaderData",{"_5":6,"_7":8,"_9":10},"actionData","errors","root",{"_302":303,"_304":305},"routes/_app.x.$handle.$name",{"_98":97,"_32":45,"_107":88,"_27":108,"_13":14,"_109":-5,"_11":110,"_111":112,"_113":114,"_115":116,"_117":118,"_20":-5,"_119":-5,"_120":-5,"_121":25,"_122":123,"_124":25,"_125":-5,"_126":-5,"_127":128},"routes/_app.x.$handle.$name.branch.$branch.version.$version.diff",{"_11":12,"_13":14,"_15":16,"_17":-5,"_18":-5},"project",{"_43":44,"_32":45,"_38":46,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":-5,"_57":25,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":65,"_66":67,"_68":69,"_70":-5,"_71":72,"_73":72,"_74":75,"_76":75,"_77":75,"_78":72,"_79":72,"_80":81,"_82":83,"_84":85,"_86":25},"version",113,"changes",[19],"aiChatInfo","userId",{"_20":21,"_22":23,"_24":25,"_26":25,"_27":28,"_29":28},"file",{"_30":31,"_32":28,"_33":34,"_35":37,"_38":39,"_40":14,"_41":42,"_24":25},"previous",{"_30":31,"_32":28,"_33":34,"_35":36},"deleted",false,"deletedHere","path","legal_top_crosspolicy_ood_v1.ts","latestPath","fileId","5a20a48a-ab17-11f1-8989-1607ee4eb77e","name","fileType","script","content","import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];\nconst trainSeeds=[100577,100591,100609,100621,100639,100651];\nconst testSeeds=[100809,100811,100823,100829];\nconst variants=['M60_FERT','ADAPT_V1','DP_H'];\nconst forbidden=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbidden.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nfunction at(t:any[],step:number){return t.find(x=>x.step===step)}\nfunction blFeat(t:any[]){const xs=t.filter(x=>x.day===12&&x.hour<=5),f:any={};for(let i=0;is.ref==='broker_bea.py'||s.ref==='ledger_lena.py').map(s=>({...s,f:blFeat(s.trace)}));const names=Object.keys(trainBL[0].f).sort();const mean=names.map(k=>trainBL.reduce((a,s)=>a+s.f[k],0)/trainBL.length);const sd=names.map((k,i)=>Math.sqrt(trainBL.reduce((a,s)=>{const d=s.f[k]-mean[i];return a+d*d},0)/Math.max(1,trainBL.length-1))||1);const z=(f:any)=>names.map((k,i)=>(f[k]-mean[i])/sd[i]);const cents:any={};for(const ref of ['broker_bea.py','ledger_lena.py']){const xs=trainBL.filter(s=>s.ref===ref).map(s=>z(s.f));cents[ref]=names.map((_,i)=>xs.reduce((a,v)=>a+v[i],0)/xs.length)}\nfunction classify(t:any[]){const s1=at(t,1),s57=at(t,57);if(s1.opp.pastures>=1&&s1.opp.cash<500)return{pred:'closer_cleo.py',stage:'STEP1_CLEO',margin:Infinity};if(Number(s57.opp.cropMix?.MELON??0)<=7&&s57.opp.crops<=18)return{pred:'slotter_silas.py',stage:'STEP57_SILAS',margin:Infinity};const v=z(blFeat(t)),rank=Object.keys(cents).map(ref=>({ref,d:dist(v,cents[ref])})).sort((a,b)=>a.d-b.d);return{pred:rank[0].ref,stage:'D12_BROKER_LENA',margin:rank[1].d-rank[0].d}}\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_CROSS_POLICY_OOD_FROZEN_MIX11_CLASSIFIER',trainSeeds,testSeeds,variants:{},mutationControl:{detected:illegalKey([{opponentAction:{}}])==='opponentAction'}};\nfor(const variant of variants){const ps:any[]=[];for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds:testSeeds,legalTelemetry:'FULL'});for(const g of r.games){const bad=illegalKey(g.legalTrace);if(bad)throw new Error(`illegal ${bad}`);const q=classify(g.legalTrace);ps.push({truth:ref,pred:q.pred,stage:q.stage,margin:q.margin,seed:g.seed,seat:g.ourSeat})}}const per:any={};for(const p of ps){per[p.truth]=per[p.truth]??{n:0,ok:0};per[p.truth].n++;if(p.truth===p.pred)per[p.truth].ok++}out.variants[variant]={n:ps.length,accuracy:ps.filter(p=>p.truth===p.pred).length/ps.length,perRef:Object.fromEntries(Object.entries(per).map(([k,v]:any)=>[k,v.ok/v.n])),errors:ps.filter(p=>p.truth!==p.pred),minBLMargin:Math.min(...ps.filter(p=>p.stage==='D12_BROKER_LENA').map(p=>p.margin))}}\nif(!out.mutationControl.detected)out.status='FAIL';console.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');","import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];\nconst trainSeeds=[100577,100591,100609,100621,100639,100651];\nconst testSeeds=[100809,100811];\nconst variants=['M60_FERT','ADAPT_V1','DP_H'];\nconst forbidden=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbidden.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nfunction at(t:any[],step:number){return t.find(x=>x.step===step)}\nfunction blFeat(t:any[]){const xs=t.filter(x=>x.day===12&&x.hour<=5),f:any={};for(let i=0;is.ref==='broker_bea.py'||s.ref==='ledger_lena.py').map(s=>({...s,f:blFeat(s.trace)}));const names=Object.keys(trainBL[0].f).sort();const mean=names.map(k=>trainBL.reduce((a,s)=>a+s.f[k],0)/trainBL.length);const sd=names.map((k,i)=>Math.sqrt(trainBL.reduce((a,s)=>{const d=s.f[k]-mean[i];return a+d*d},0)/Math.max(1,trainBL.length-1))||1);const z=(f:any)=>names.map((k,i)=>(f[k]-mean[i])/sd[i]);const cents:any={};for(const ref of ['broker_bea.py','ledger_lena.py']){const xs=trainBL.filter(s=>s.ref===ref).map(s=>z(s.f));cents[ref]=names.map((_,i)=>xs.reduce((a,v)=>a+v[i],0)/xs.length)}\nfunction classify(t:any[]){const s1=at(t,1),s57=at(t,57);if(s1.opp.pastures>=1&&s1.opp.cash<500)return{pred:'closer_cleo.py',stage:'STEP1_CLEO',margin:Infinity};if(Number(s57.opp.cropMix?.MELON??0)<=7&&s57.opp.crops<=18)return{pred:'slotter_silas.py',stage:'STEP57_SILAS',margin:Infinity};const v=z(blFeat(t)),rank=Object.keys(cents).map(ref=>({ref,d:dist(v,cents[ref])})).sort((a,b)=>a.d-b.d);return{pred:rank[0].ref,stage:'D12_BROKER_LENA',margin:rank[1].d-rank[0].d}}\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_CROSS_POLICY_OOD_FROZEN_MIX11_CLASSIFIER',trainSeeds,testSeeds,variants:{},mutationControl:{detected:illegalKey([{opponentAction:{}}])==='opponentAction'}};\nfor(const variant of variants){const ps:any[]=[];for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds:testSeeds,legalTelemetry:'FULL'});for(const g of r.games){const bad=illegalKey(g.legalTrace);if(bad)throw new Error(`illegal ${bad}`);const q=classify(g.legalTrace);ps.push({truth:ref,pred:q.pred,stage:q.stage,margin:q.margin,seed:g.seed,seat:g.ourSeat})}}const per:any={};for(const p of ps){per[p.truth]=per[p.truth]??{n:0,ok:0};per[p.truth].n++;if(p.truth===p.pred)per[p.truth].ok++}out.variants[variant]={n:ps.length,accuracy:ps.filter(p=>p.truth===p.pred).length/ps.length,perRef:Object.fromEntries(Object.entries(per).map(([k,v]:any)=>[k,v.ok/v.n])),errors:ps.filter(p=>p.truth!==p.pred),minBLMargin:Math.min(...ps.filter(p=>p.stage==='D12_BROKER_LENA').map(p=>p.margin))}}\nif(!out.mutationControl.detected)out.status='FAIL';console.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');","createdAt",["D",1788825359660],"branchVersion","branchId","dd72e0e4-9376-4474-b2b2-deb37ddbf6e5","id","634e85ef-6c38-4cfc-b045-a94973e5fa70","kaggriculture-autolab",["D",1788770222210],"deletedAt","legacyEnvVars","privacy","public","httpPrivacy","description","Kaggriculture autonomous compute worker","imageUrl","6cc24525-830b-4db3-9c9c-fd19fb50e91f","pinnedFileId","pinPreview","pinMigrated","screenshotVersion","likeCount",0,"orgId","01a0773d-9d6b-7580-a53a-683363c351c8","tursoName","634e85ef6c384cfcb045a94973e5fa70","tursoHostname","634e85ef6c384cfcb045a94973e5fa70-val-town.aws-us-east-2.turso.io","tursoMeasuredAt",["D",1789550457365],"pinned","userPerm","r","valPerm","blobPerm","rw","emailPerm","sqlitePerm","projectPerm","telemetryPerm","user",{"_98":97,"_106":102},"org",{"_98":97,"_99":100,"_101":102,"_18":55,"_103":104,"_105":25},"branch",{"_13":87,"_32":88,"_43":42,"_89":44,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":45,"_96":97},"isOwned",238,"main","projectId","forkedBranchId","forkedBranchVersion","forkedProjectPrivacy","forkedProjectId","forkedProjectOrgId","projectName","userHandle","cleitoncosta","handle","displayName","Cleiton Costa","avatar","https://lh3.googleusercontent.com/a/ACg8ocIgWisWQiXts_2fy5iRiRgl8A6c7Ef94eqE3ur-4mlyUrpCBmQ=s96-c","tier","free","canRestrictVals","profileImageUrl","branchName","","adoptOrgId",{"_43":44,"_32":45,"_38":297,"_47":-5,"_48":25,"_49":50,"_51":50,"_52":53,"_54":-5,"_18":55,"_56":-5,"_57":25,"_58":-5,"_59":-5,"_60":61,"_62":63,"_64":65,"_66":67,"_68":298,"_70":-5,"_71":72,"_73":72,"_74":75,"_76":75,"_77":75,"_78":72,"_79":72,"_80":299,"_82":300,"_84":301,"_86":25},"tree",[227,231,232,233,234,235,236,237,238,239,240],"files",[227,228,229,230,231,232,233,234,235,236,237,238,239,240],"counts",{"_216":61,"_217":218,"_219":61,"_220":221,"_222":223},"contents",[129,130,131,132,133,134,135,136,137,138,139],"upstreamProject","upstreamBranch","emptyEnvVars","flags",[],"hasHttpFiles","grants","orgs","customDomains",{},{"_43":209,"_32":210,"_30":211,"_143":-5,"_41":42,"_40":212,"_145":156,"_38":213,"_13":61,"_33":214,"_35":-5,"_24":25,"_150":-5,"_27":215},{"_43":202,"_32":203,"_30":204,"_143":-5,"_41":42,"_40":205,"_145":25,"_38":206,"_13":61,"_33":20,"_35":207,"_24":25,"_150":-5,"_27":208},{"_43":195,"_32":196,"_30":197,"_143":-5,"_41":42,"_40":198,"_145":156,"_38":199,"_13":61,"_33":34,"_35":200,"_24":25,"_150":-5,"_27":201},{"_43":189,"_32":190,"_30":191,"_143":-5,"_41":42,"_40":155,"_145":156,"_38":192,"_13":61,"_33":34,"_35":193,"_24":25,"_150":-5,"_27":194},{"_43":186,"_32":28,"_30":31,"_143":-5,"_41":42,"_40":14,"_145":156,"_38":187,"_13":147,"_33":34,"_35":37,"_24":25,"_150":-5,"_27":188},{"_43":180,"_32":181,"_30":182,"_143":-5,"_41":42,"_40":155,"_145":156,"_38":183,"_13":61,"_33":34,"_35":184,"_24":25,"_150":-5,"_27":185},{"_43":173,"_32":174,"_30":175,"_143":-5,"_41":42,"_40":176,"_145":156,"_38":177,"_13":147,"_33":34,"_35":178,"_24":25,"_150":-5,"_27":179},{"_43":167,"_32":168,"_30":169,"_143":-5,"_41":42,"_40":155,"_145":156,"_38":170,"_13":61,"_33":34,"_35":171,"_24":25,"_150":-5,"_27":172},{"_43":160,"_32":161,"_30":162,"_143":-5,"_41":42,"_40":163,"_145":156,"_38":164,"_13":61,"_33":34,"_35":165,"_24":25,"_150":-5,"_27":166},{"_43":152,"_32":153,"_30":154,"_143":-5,"_41":42,"_40":155,"_145":156,"_38":157,"_13":61,"_33":34,"_35":158,"_24":25,"_150":-5,"_27":159},{"_43":140,"_32":141,"_30":142,"_143":-5,"_41":42,"_40":144,"_145":25,"_38":146,"_13":147,"_33":148,"_35":149,"_24":25,"_150":-5,"_27":151},"7da861e5-3ed1-4f8a-abc8-05cf71a80320","worker.ts","4c5b4ede-aa97-11f1-9f6c-1607ee4eb77e","parentId",3,"latest",["D",1788770264865],1,"interval","import { 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.lengthx.endsWith('.py')).sort();\nconsole.log(JSON.stringify({status:'PASS',count:names.length,names},null,2));",[161],"10a44faa-d2f1-47fb-8172-7b36fd0da1a1","official_decision_count_probe_v1.ts","01a07e47-3fe3-76aa-ae0a-81428ff9daf1",["D",1788824993764],"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));",[168],"162b38e5-c659-431b-ae95-2d6735315bbc","legal_top_hierarchy_heldout_v2.ts","01a07e48-8a32-71f8-bdd9-ba391fbb6e74",111,["D",1788825085004],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];\nconst trainSeeds=[100577,100591,100609,100621,100639,100651];\nconst testSeeds=[100709,100727,100733,100741,100747,100759,100769,100787];\nconst allSeeds=[...trainSeeds,...testSeeds];\nconst forbidden=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbidden.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nfunction at(t:any[],step:number){return t.find(x=>x.step===step)}\nfunction blFeat(t:any[]){const xs=t.filter(x=>x.day===12&&x.hour<=5),f:any={};for(let i=0;itrainSeeds.includes(s.seed)&&(s.ref==='broker_bea.py'||s.ref==='ledger_lena.py')).map(s=>({...s,f:blFeat(s.trace)}));const names=Object.keys(trainBL[0].f).sort();const mean=names.map(k=>trainBL.reduce((a,s)=>a+s.f[k],0)/trainBL.length);const sd=names.map((k,i)=>Math.sqrt(trainBL.reduce((a,s)=>{const d=s.f[k]-mean[i];return a+d*d},0)/Math.max(1,trainBL.length-1))||1);const z=(f:any)=>names.map((k,i)=>(f[k]-mean[i])/sd[i]);const cents:any={};for(const ref of ['broker_bea.py','ledger_lena.py']){const xs=trainBL.filter(s=>s.ref===ref).map(s=>z(s.f));cents[ref]=names.map((_,i)=>xs.reduce((a,v)=>a+v[i],0)/xs.length)}\nfunction classifyBL(t:any[]){const v=z(blFeat(t)),rank=Object.keys(cents).map(ref=>({ref,d:dist(v,cents[ref])})).sort((a,b)=>a.d-b.d);return{pred:rank[0].ref,margin:rank[1].d-rank[0].d,rank}}\nconst preds=[];for(const x of samples.filter(s=>testSeeds.includes(s.seed))){const s1=at(x.trace,1),s57=at(x.trace,57);let pred='',stage='',margin=Infinity;if(s1.opp.pastures>=1&&s1.opp.cash<500){pred='closer_cleo.py';stage='STEP1_CLEO'}else if(Number(s57.opp.cropMix?.MELON??0)<=7&&s57.opp.crops<=18){pred='slotter_silas.py';stage='STEP57_SILAS'}else{const q=classifyBL(x.trace);pred=q.pred;stage='D12_BROKER_LENA';margin=q.margin}preds.push({truth:x.ref,pred,seed:x.seed,seat:x.seat,stage,margin})}\nfunction summary(threshold:number){const kept=preds.filter(p=>p.stage!=='D12_BROKER_LENA'||p.margin>threshold),abst=preds.filter(p=>p.stage==='D12_BROKER_LENA'&&p.margin<=threshold);return{threshold,coverage:kept.length/preds.length,selectiveAccuracy:kept.length?kept.filter(p=>p.truth===p.pred).length/kept.length:null,abstained:abst.length,errors:kept.filter(p=>p.truth!==p.pred)}}\nconst conf:any={};for(const p of preds){conf[p.truth]=conf[p.truth]??{};conf[p.truth][p.pred]=(conf[p.truth][p.pred]??0)+1}\nconst mutationDetected=illegalKey([{opponentAction:{}}])==='opponentAction';const out={status:mutationDetected?'PASS':'FAIL',core:AUTOLAB_CORE_VERSION,evidenceState:'FROZEN_TRAIN_FRESH_HELDOUT_LEGAL_TOP_CLASSIFIER',trainSeeds,testSeeds,trainSamples:samples.filter(s=>trainSeeds.includes(s.seed)).length,testSamples:preds.length,rawAccuracy:preds.filter(p=>p.truth===p.pred).length/preds.length,perStage:Object.fromEntries(['STEP1_CLEO','STEP57_SILAS','D12_BROKER_LENA'].map(stage=>{const q=preds.filter(p=>p.stage===stage);return[stage,{n:q.length,accuracy:q.length?q.filter(p=>p.truth===p.pred).length/q.length:null}]})),riskCoverage:[summary(-1),summary(0),summary(0.05),summary(0.1),summary(0.25),summary(0.5)],confusion:conf,errors:preds.filter(p=>p.truth!==p.pred),blMargins:preds.filter(p=>p.stage==='D12_BROKER_LENA').map(p=>({truth:p.truth,pred:p.pred,seed:p.seed,seat:p.seat,margin:p.margin})),mutationControl:{detected:mutationDetected}};\nconsole.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[174],"70f213cf-3cc3-43d6-96b7-256aae1075dd","legal_top_hierarchy_heldout_v1.ts","01a07e47-3fe3-76aa-ae0a-857d4f607b0f",["D",1788824993764],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py'];\nconst trainSeeds=[100577,100591,100609,100621,100639,100651];\nconst testSeeds=[100667,100679,100693];\nconst allSeeds=[...trainSeeds,...testSeeds];\nconst forbidden=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbidden.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nfunction at(t:any[],step:number){return t.find(x=>x.step===step)}\nfunction blFeat(t:any[]){const xs=t.filter(x=>x.day===12&&x.hour<=5),f:any={};for(let i=0;itrainSeeds.includes(s.seed)&&(s.ref==='broker_bea.py'||s.ref==='ledger_lena.py')).map(s=>({...s,f:blFeat(s.trace)}));const names=Object.keys(trainBL[0].f).sort();const mean=names.map(k=>trainBL.reduce((a,s)=>a+s.f[k],0)/trainBL.length);const sd=names.map((k,i)=>Math.sqrt(trainBL.reduce((a,s)=>{const d=s.f[k]-mean[i];return a+d*d},0)/Math.max(1,trainBL.length-1))||1);const z=(f:any)=>names.map((k,i)=>(f[k]-mean[i])/sd[i]);const cents:any={};for(const ref of ['broker_bea.py','ledger_lena.py']){const xs=trainBL.filter(s=>s.ref===ref).map(s=>z(s.f));cents[ref]=names.map((_,i)=>xs.reduce((a,v)=>a+v[i],0)/xs.length)}\nfunction classifyBL(t:any[]){const v=z(blFeat(t)),rank=Object.keys(cents).map(ref=>({ref,d:dist(v,cents[ref])})).sort((a,b)=>a.d-b.d);return{pred:rank[0].ref,margin:rank[1].d-rank[0].d,rank}}\nconst preds=[];for(const x of samples.filter(s=>testSeeds.includes(s.seed))){const s1=at(x.trace,1),s57=at(x.trace,57);let pred='',stage='',margin=Infinity;if(s1.opp.pastures>=1&&s1.opp.cash<500){pred='closer_cleo.py';stage='STEP1_CLEO'}else if(Number(s57.opp.cropMix?.MELON??0)<=7&&s57.opp.crops<=18){pred='slotter_silas.py';stage='STEP57_SILAS'}else{const q=classifyBL(x.trace);pred=q.pred;stage='D12_BROKER_LENA';margin=q.margin}preds.push({truth:x.ref,pred,seed:x.seed,seat:x.seat,stage,margin})}\nfunction summary(threshold:number){const kept=preds.filter(p=>p.stage!=='D12_BROKER_LENA'||p.margin>threshold),abst=preds.filter(p=>p.stage==='D12_BROKER_LENA'&&p.margin<=threshold);return{threshold,coverage:kept.length/preds.length,selectiveAccuracy:kept.length?kept.filter(p=>p.truth===p.pred).length/kept.length:null,abstained:abst.length,errors:kept.filter(p=>p.truth!==p.pred)}}\nconst conf:any={};for(const p of preds){conf[p.truth]=conf[p.truth]??{};conf[p.truth][p.pred]=(conf[p.truth][p.pred]??0)+1}\nconst mutationDetected=illegalKey([{opponentAction:{}}])==='opponentAction';const out={status:mutationDetected?'PASS':'FAIL',core:AUTOLAB_CORE_VERSION,evidenceState:'FROZEN_TRAIN_FRESH_HELDOUT_LEGAL_TOP_CLASSIFIER',trainSeeds,testSeeds,trainSamples:samples.filter(s=>trainSeeds.includes(s.seed)).length,testSamples:preds.length,rawAccuracy:preds.filter(p=>p.truth===p.pred).length/preds.length,perStage:Object.fromEntries(['STEP1_CLEO','STEP57_SILAS','D12_BROKER_LENA'].map(stage=>{const q=preds.filter(p=>p.stage===stage);return[stage,{n:q.length,accuracy:q.length?q.filter(p=>p.truth===p.pred).length/q.length:null}]})),riskCoverage:[summary(-1),summary(0),summary(0.05),summary(0.1),summary(0.25),summary(0.5)],confusion:conf,errors:preds.filter(p=>p.truth!==p.pred),blMargins:preds.filter(p=>p.stage==='D12_BROKER_LENA').map(p=>({truth:p.truth,pred:p.pred,seed:p.seed,seat:p.seat,margin:p.margin})),mutationControl:{detected:mutationDetected}};\nconsole.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[181],"8851637b-a477-4cdd-b1ed-39e056a989db",["D",1788825359660],[28],"5e41bdef-e978-4996-8e69-cb626b312a7d","legal_observer_trace_selftest_v1.ts","01a07e47-3fe3-76aa-ae0a-79cb7db6c87a",["D",1788824993764],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\nconst expected:any={'100577:0':[33289,15630],'100577:1':[33247,15630]};\nconst forbiddenKeys=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbiddenKeys.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nconst r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'melon_mateo.py',seeds:[100577],legalTelemetry:'FULL'});\nconst problems:string[]=[];\nif(AUTOLAB_CORE_VERSION!=='KAG_AUTOLAB_CORE_V22_LEGAL_TELEMETRY_SEPARATION')problems.push(`core=${AUTOLAB_CORE_VERSION}`);\nfor(const g of r.games){const k=`${g.seed}:${g.ourSeat}`,e=expected[k];if(!e||g.ourBank!==e[0]||g.refBank!==e[1])problems.push(`${k}:terminal mismatch got ${g.ourBank}/${g.refBank}`);if(g.errors!==0)problems.push(`${k}:errors=${g.errors}`);if(g.legalTraceEvidenceState!=='LEGAL_OBSERVATION_ONLY_FULL_TURN_TRACE')problems.push(`${k}:wrong evidence state`);if(g.legalTrace?.length!==719)problems.push(`${k}:legalTrace=${g.legalTrace?.length}`);const bad=illegalKey(g.legalTrace);if(bad)problems.push(`${k}:forbidden=${bad}`);const first=g.legalTrace?.[0];if(!first?.market?.inventory?.WHEAT&&first?.market?.inventory?.WHEAT!==0)problems.push(`${k}:missing shared market inventory`);if(!first?.opp||!first?.me)problems.push(`${k}:missing public farm profiles`)}\nconst mutated=structuredClone(r.games[0].legalTrace);mutated[0].opponentAction={market:[['SELL','WHEAT',1]]};const mutationDetected=illegalKey(mutated)==='opponentAction';if(!mutationDetected)problems.push('mutation control failed');\nconsole.log(JSON.stringify({status:problems.length?'FAIL':'PASS',core:AUTOLAB_CORE_VERSION,episodes:r.episodes,WLT:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,gameShapes:r.games.map((g:any)=>({seat:g.ourSeat,terminal:[g.ourBank,g.refBank],legalTrace:g.legalTrace?.length,first:g.legalTrace?.[0],last:g.legalTrace?.at(-1),errors:g.errors})),mutationControl:{detected:mutationDetected},problems},null,2));\nif(problems.length)throw new Error(problems.join('; '));",[190],"89450789-86e1-41ca-b7b2-78d1cbcf249b","core_v21_behavior_signature.ts","01a07e44-9258-724b-994e-effd37d3852a",108,["D",1788824818265],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\nconst refs=['rotation_rosa.py','homestead_hana.py','melon_mateo.py','rancher_rita.py','broker_bea.py','closer_cleo.py'];\nconst seeds=[100577,100591];\nconst out:any={core:AUTOLAB_CORE_VERSION,rows:{}};\nfor(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref,seeds});out.rows[ref]={WLT:[r.wins,r.losses,r.ties],avgMargin:r.avgMargin,games:r.games.map((g:any)=>[g.seed,g.ourSeat,g.ourBank,g.refBank,g.errors])}}\nconsole.log(JSON.stringify(out,null,2));",[196],"9d4e3291-ef2e-44f8-92aa-75e50ea3e1ee","README.md","dd5768fa-aa97-11f1-be9a-1607ee4eb77e",5,["D",1788770465523],"# 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",[203],"c7fd0ed5-f843-4773-8804-39caa3384642","lib","01a07b04-05eb-7787-ad0a-20d36c49a530",2,["D",1788770256365],"directory",[210],"pulls","branches",8,"forks","envVars",{"_224":61,"_226":61},"connections",{"_224":61,"_225":61},"count","unfilledCount","emptyCount",{"_43":209,"_32":210,"_30":211,"_143":-5,"_41":42,"_40":212,"_145":156,"_38":294,"_13":61,"_33":214,"_35":-5,"_24":25,"_150":-5,"_242":295,"_27":296},{"_43":286,"_32":287,"_30":288,"_143":211,"_41":42,"_40":155,"_145":25,"_38":289,"_13":290,"_33":34,"_35":291,"_24":25,"_150":-5,"_242":292,"_27":293},{"_43":279,"_32":280,"_30":281,"_143":211,"_41":42,"_40":212,"_145":156,"_38":282,"_13":61,"_33":34,"_35":283,"_24":25,"_150":-5,"_242":284,"_27":285},{"_43":272,"_32":273,"_30":274,"_143":211,"_41":42,"_40":212,"_145":156,"_38":275,"_13":61,"_33":34,"_35":276,"_24":25,"_150":-5,"_242":277,"_27":278},{"_43":202,"_32":203,"_30":204,"_143":-5,"_41":42,"_40":205,"_145":25,"_38":269,"_13":61,"_33":20,"_35":207,"_24":25,"_150":-5,"_242":270,"_27":271},{"_43":195,"_32":196,"_30":197,"_143":-5,"_41":42,"_40":198,"_145":156,"_38":266,"_13":61,"_33":34,"_35":200,"_24":25,"_150":-5,"_242":267,"_27":268},{"_43":189,"_32":190,"_30":191,"_143":-5,"_41":42,"_40":155,"_145":156,"_38":263,"_13":61,"_33":34,"_35":193,"_24":25,"_150":-5,"_242":264,"_27":265},{"_43":186,"_32":28,"_30":31,"_143":-5,"_41":42,"_40":14,"_145":156,"_38":260,"_13":147,"_33":34,"_35":37,"_24":25,"_150":-5,"_242":261,"_27":262},{"_43":180,"_32":181,"_30":182,"_143":-5,"_41":42,"_40":155,"_145":156,"_38":257,"_13":61,"_33":34,"_35":184,"_24":25,"_150":-5,"_242":258,"_27":259},{"_43":173,"_32":174,"_30":175,"_143":-5,"_41":42,"_40":176,"_145":156,"_38":254,"_13":147,"_33":34,"_35":178,"_24":25,"_150":-5,"_242":255,"_27":256},{"_43":167,"_32":168,"_30":169,"_143":-5,"_41":42,"_40":155,"_145":156,"_38":251,"_13":61,"_33":34,"_35":171,"_24":25,"_150":-5,"_242":252,"_27":253},{"_43":160,"_32":161,"_30":162,"_143":-5,"_41":42,"_40":163,"_145":156,"_38":248,"_13":61,"_33":34,"_35":165,"_24":25,"_150":-5,"_242":249,"_27":250},{"_43":152,"_32":153,"_30":154,"_143":-5,"_41":42,"_40":155,"_145":156,"_38":245,"_13":61,"_33":34,"_35":158,"_24":25,"_150":-5,"_242":246,"_27":247},{"_43":140,"_32":141,"_30":142,"_143":-5,"_41":42,"_40":144,"_145":25,"_38":241,"_13":147,"_33":148,"_35":149,"_24":25,"_150":-5,"_242":243,"_27":244},["D",1788770264865],"children",[],[141],["D",1788824993764],[],[153],["D",1788808701964],[],[161],["D",1788824993764],[],[168],["D",1788825085004],[],[174],["D",1788824993764],[],[181],["D",1788825359660],[],[28],["D",1788824993764],[],[190],["D",1788824818265],[],[196],["D",1788770465523],[],[203],"a3bf3a3f-3073-44d4-9235-f28bd1f7fc34","kaggriculture_livestock_portfolio.ts","01a07b04-05eb-7787-ad0a-2c43997c15cf",["D",1788770256365],"export type AnimalName='COW'|'SHEEP'|'GOOSE';\nexport type ProductName='MILK'|'WOOL'|'EGG'|'WHEAT';\n\nexport const ANIMAL_ECONOMICS:Record}>={\n GOOSE:{cost:300,first:4,interval:1,product:'EGG'},\n COW:{cost:400,first:8,interval:2,product:'MILK'},\n SHEEP:{cost:500,first:6,interval:3,product:'WOOL'},\n};\n\nconst MARKET:any={\n WHEAT:{base:25,I0:10000,T:400,below_func:'sqrt',below_target:.80,above_func:'log',above_target:.20},\n EGG:{base:50,I0:10000,T:332,below_func:'hinge',below_target:.40,above_func:'log',above_target:.20},\n MILK:{base:160,I0:10000,T:122,below_func:'sqrt',below_target:.60,above_func:'linear',above_target:1.60},\n WOOL:{base:200,I0:10000,T:105,below_func:'log',below_target:.20,above_func:'sq',above_target:3.20},\n};\nconst SHOPS:Record={\n BAKERY:['EGG','WHEAT'],PIZZA_SHOP:['MILK','TOMATO','WHEAT'],BRUNCH_SPOT:['EGG','WHEAT','STRAWBERRY'],YARN_STORE:['WOOL'],ICE_CREAM_SHOP:['STRAWBERRY','MILK','WHEAT'],PET_CAFE:['CARROT'],SMOOTHIE_SHOP:['STRAWBERRY','MILK'],FARMERS_MARKET:['WHEAT','CARROT','TOMATO','STRAWBERRY']\n};\nconst SHOP_NAMES=Object.keys(SHOPS).sort();\nconst hingeGain=8;\nfunction shape(fn:string,x:number,T:number){x=Math.max(0,x);if(fn==='linear')return x;if(fn==='sq')return x*x;if(fn==='sqrt')return Math.sqrt(x);if(fn==='log')return Math.log(1+x);if(fn==='hinge'){const u=x/T;return u+hingeGain*Math.max(0,u-1)**2;}return x;}\nexport function marketPrice(item:ProductName,inventory:number){const p=MARKET[item];const x=Math.abs(inventory-p.I0);const below=inventorys+shopMultiplier(sh,item),0)*shopTicks;\n // Town center consumes every product except fertilizer once per day.\n const centerTicks=Math.max(0,Math.floor((episodeSteps-1)/24)-Math.ceil(step/24)+1);\n demand += centerTicks;\n // Future shop slots unlock at end of days 3,6,...24. Expected contribution is uniform over 8 shop types.\n const avgMult=SHOP_NAMES.reduce((s,sh)=>s+shopMultiplier(sh,item),0)/SHOP_NAMES.length;\n for(const unlockDay of [3,6,9,12,15,18,21,24]){\n if(unlockDay<=day || known.length>=8)continue;\n const unlockStep=unlockDay*24;\n const ticks=Math.max(0,Math.floor((episodeSteps-1)/4)-Math.ceil(unlockStep/4)+1);\n demand += avgMult*ticks;\n }\n return demand;\n}\n\nexport function caredProductionUnits(animal:AnimalName,currentDay:number,horizonDay=30){\n const a=ANIMAL_ECONOMICS[animal];const first=currentDay+a.first;if(first>=horizonDay)return 0;\n const events=1+Math.floor((horizonDay-1-first)/a.interval);\n // With daily feed+care, pending care bonus makes productive refreshes approximately 2 units/event.\n return Math.max(0,2*events);\n}\n\nexport function visibleAnimalSupplyRemaining(farm:any,animal:AnimalName,currentDay:number,horizonDay=30){\n const a=ANIMAL_ECONOMICS[animal];let units=0;\n for(const row of farm?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object'||t.animal!==animal)continue;const placed=Number(t.placed_day??currentDay);const first=placed+a.first;let next=first;while(next=horizonDay)continue;units+=2*(1+Math.floor((horizonDay-1-next)/a.interval));}\n return units;\n}\n\nexport type AnimalScoreInput={\n obs:any; animal:AnimalName; cashBuffer?:number; horizonDay?:number; discountPerDay?:number; strategicWeight?:number;\n liquidityFeedFloatDays?:number; liquidityStockCredit?:boolean;\n};\n\n/** Marginal NPV-like score for purchasing one more animal now. Designed for ranking, not accounting truth. */\nexport function scoreAnimalInvestment(x:AnimalScoreInput){\n const {obs,animal}=x;const a=ANIMAL_ECONOMICS[animal];const day=Number(obs?.day??0),h=x.horizonDay??30;\n const product=a.product;const inv=Number(obs?.market?.inventory?.[product]??10000);const wheatInv=Number(obs?.market?.inventory?.WHEAT??10000);\n const currentPrice=marketPrice(product,inv);const wheatPrice=marketPrice('WHEAT',wheatInv);\n const units=caredProductionUnits(animal,day,h);const feedDays=Math.max(0,h-day);\n const townDemand=expectedTownDemandRemaining(obs,product);\n const me=Number(obs?.player??0),farms=obs?.farms??[],mine=farms?.[me]??null,opp=farms.length===2?farms[1-me]:null;\n const ownCommittedSupply=visibleAnimalSupplyRemaining(mine,animal,day,h);\n const opponentSupply=visibleAnimalSupplyRemaining(opp,animal,day,h);\n // Cournot-like marginal accounting: compare the projected market before vs after the extra animal.\n // Extra supply changes the price received on OUR already-committed output and on the rival's output too.\n const baseProjectedInv=inv - 0.5*townDemand + 0.5*ownCommittedSupply + 0.5*opponentSupply;\n const priceBeforeMarginal=marketPrice(product,baseProjectedInv);\n const projectedInv=baseProjectedInv + 0.5*units;\n const projectedPrice=marketPrice(product,projectedInv);\n const avgPrice=(currentPrice+projectedPrice)/2;\n const disc=Math.pow(x.discountPerDay??0.997,Math.max(0,a.first));\n const newUnitsRevenue=units*avgPrice*disc;\n const ownPriceImpact=0.5*ownCommittedSupply*(projectedPrice-priceBeforeMarginal)*disc;\n const rivalPriceImpact=0.5*opponentSupply*(projectedPrice-priceBeforeMarginal)*disc;\n const relativeMarketContribution=newUnitsRevenue+ownPriceImpact-(x.strategicWeight??1.0)*rivalPriceImpact;\n const feedCost=feedDays*wheatPrice;\n const cash=Number(farms?.[me]?.money??0),buffer=x.cashBuffer??400;\n const postPurchaseCash=cash-a.cost;\n // Financial-feasibility gate mirrored from the reference scheduler: a positive-NPV animal is useless if the farm cannot fund its feed float and capital sequence.\n let flock=0;for(const row of mine?.tiles??[])for(const t of row??[])if(t&&typeof t==='object'&&t.animal)flock++;\n for(const k of ['COW','SHEEP','GOOSE'])flock+=Number(obs?.private?.shed?.[k]??0);\n const boughtLand=Math.max(0,(mine?.unlocked_quadrants??['NW']).length-1);\n const landPrices=[1000,2000,4000];\n const landReserve=(flock>=10 && boughtLand<2)?landPrices[boughtLand]:0;\n const feedFloatDays=x.liquidityFeedFloatDays??16;\n const ownedWheat=Number(obs?.private?.shed?.WHEAT??0)+(obs?.private?.inventories??[]).reduce((s:number,inv:any)=>s+Number(inv?.WHEAT??0),0);\n const stockCredit=(x.liquidityStockCredit??false)?ownedWheat*wheatPrice:0;\n const requiredFeedLiquidity=Math.max(0,(flock+1)*wheatPrice*feedFloatDays-stockCredit);\n const requiredLiquidity=a.cost+buffer+landReserve+requiredFeedLiquidity;\n const financeable=cash>=requiredLiquidity;\n const liquidityPenalty=financeable?0:1e6+(requiredLiquidity-cash)*1000;\n const net=relativeMarketContribution-a.cost-feedCost-liquidityPenalty;\n const timeToCash=a.first;\n return {animal,product,day,units,events:units/2,timeToCash,currentPrice,priceBeforeMarginal,projectedPrice,townDemand,ownCommittedSupply,opponentSupply,feedDays,wheatPrice,newUnitsRevenue,ownPriceImpact,rivalPriceImpact,relativeMarketContribution,animalCost:a.cost,feedCost,flock,boughtLand,landReserve,feedFloatDays,ownedWheat,stockCredit,requiredFeedLiquidity,requiredLiquidity,financeable,liquidityPenalty,net,roi:net/Math.max(1,a.cost),postPurchaseCash};\n}\n\nexport function rankAnimalInvestments(obs:any,opts?:Omit){\n return (['COW','SHEEP','GOOSE'] as AnimalName[]).map(animal=>scoreAnimalInvestment({obs,animal,...opts})).sort((a,b)=>b.net-a.net);\n}\n\nexport function choosePastureAnimal(obs:any,opts?:Omit){\n const xs=(['COW','SHEEP'] as AnimalName[]).map(animal=>scoreAnimalInvestment({obs,animal,...opts})).sort((a,b)=>b.net-a.net);\n return {choice:xs[0].net>0?xs[0].animal:null,ranking:xs};\n}\n",[],[210,273],"95028355-83db-4c7e-8c87-c4ce6c92018a","kaggriculture_engine_loader.ts","01a07b04-05eb-7787-ad0a-2a9de8bd6bc8",["D",1788770256365],"const RAW_ROOT = \"https://raw.githubusercontent.com/Kaggle/kaggle-environments/master/kaggle_environments/envs/kaggriculture/\";\nconst ENGINE_BASE = `${RAW_ROOT}visualizer/playable/src/engine/`;\nconst SPEC_URL = `${RAW_ROOT}kaggriculture.json`;\nconst ENGINE_NAMES = [\"types\", \"constants\", \"market\", \"rng\", \"state\", \"interpreter\"] as const;\ntype EngineName = typeof ENGINE_NAMES[number];\n\nfunction toDataUrl(source: string): string {\n const bytes = new TextEncoder().encode(source);\n let binary = \"\";\n for (let i = 0; i < bytes.length; i += 0x8000) {\n binary += String.fromCharCode(...bytes.subarray(i, i + 0x8000));\n }\n return `data:application/typescript;base64,${btoa(binary)}`;\n}\n\nfunction stripTypeImports(src: string): string {\n return src.replace(/import\\s+type\\s+\\{[\\s\\S]*?\\}\\s+from\\s+['\"][^'\"]+['\"];?\\s*/g, \"\");\n}\n\nexport async function loadOfficialKaggricultureEngine() {\n const raw = new Map();\n for (const name of ENGINE_NAMES) {\n const res = await fetch(`${ENGINE_BASE}${name}.ts`);\n if (!res.ok) throw new Error(`fetch official ${name}.ts failed: ${res.status}`);\n raw.set(name, await res.text());\n }\n const specRes = await fetch(SPEC_URL);\n if (!specRes.ok) throw new Error(`fetch official kaggriculture.json failed: ${specRes.status}`);\n const specText = await specRes.text();\n JSON.parse(specText);\n\n const urls = new Map();\n for (const name of ENGINE_NAMES) {\n let src = stripTypeImports(raw.get(name)!);\n if (name === \"constants\") {\n src = src.replace(\n /import\\s+spec\\s+from\\s+['\"]\\.\\.\\/\\.\\.\\/\\.\\.\\/\\.\\.\\/kaggriculture\\.json['\"];?\\s*/,\n `const spec = ${specText};\\n`,\n );\n }\n src = src.replace(\n /import\\s+\\{([\\s\\S]*?)\\}\\s+from\\s+['\"]\\.\\/([A-Za-z0-9_-]+)['\"];?\\s*/g,\n (_all, symbols: string, dep: string) => {\n const depUrl = urls.get(dep as EngineName);\n if (!depUrl) throw new Error(`${name}: dependency ${dep} not compiled`);\n return `import {${symbols}} from ${JSON.stringify(depUrl)};\\n`;\n },\n );\n const unresolved = [...src.matchAll(/from\\s+['\"](\\.\\.?\\/[^'\"]+)['\"]/g)].map((m) => m[1]);\n if (unresolved.length) throw new Error(`${name}: unresolved imports ${unresolved.join(\", \")}`);\n urls.set(name, toDataUrl(src));\n }\n\n const [types, constants, market, rng, state, interpreter] = await Promise.all([\n import(urls.get(\"types\")!),\n import(urls.get(\"constants\")!),\n import(urls.get(\"market\")!),\n import(urls.get(\"rng\")!),\n import(urls.get(\"state\")!),\n import(urls.get(\"interpreter\")!),\n ]);\n\n return {\n types,\n constants,\n market,\n rng,\n state,\n interpreter,\n sourceMeta: Object.fromEntries(ENGINE_NAMES.map((name) => [name, { bytes: raw.get(name)!.length }])),\n };\n}\n\nexport function observationFor(state: any, player: number) {\n return {\n player,\n step: state.step,\n day: state.day,\n hour: state.hour,\n numAgents: state.numAgents,\n farms: state.farms,\n private: state.privates[player],\n market: state.market,\n town: state.town,\n };\n}\n",[],[210,280],"5cabbb4f-f911-4dad-9c70-fdff044186bb","kag_autolab_core.ts","01a07b04-05eb-7787-ad0a-265ed8cf0a65",["D",1788824993764],103,"import { unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from './kaggriculture_engine_loader.ts';\nimport { choosePastureAnimal } from './kaggriculture_livestock_portfolio.ts';\n\nexport const AUTOLAB_CORE_VERSION = 'KAG_AUTOLAB_CORE_V22_LEGAL_TELEMETRY_SEPARATION';\nconst REF_DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst REF_ALIASES:Record={\n 'lena_optimist.py':'ledger_lena.py',\n 'silas_strategist.py':'slotter_silas.py',\n};\nfunction canonicalRefName(name:string){return REF_ALIASES[name]??name}\nconst CHECK_DAYS=new Set([0,3,6,9,12,15,18,21,24,27,29]);\nlet runtimePromise:Promise|null=null;\n\nfunction avg(xs:number[]){return xs.length?xs.reduce((a,b)=>a+b,0)/xs.length:0}\nfunction profilePublic(f:any){let crops=0,pastures=0,animals=0;const cropMix:any={},animalMix:any={};for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;if(t.kind==='PASTURE')pastures++;if(t.animal){animals++;animalMix[t.animal]=(animalMix[t.animal]??0)+1}const c=t.crop??t.plant??(t.kind==='PLANT'?t.type:null);if(c){crops++;cropMix[c]=(cropMix[c]??0)+1}}return{cash:+(f?.money??0),land:(f?.unlocked_quadrants??[]).length,crops,pastures,animals,cropMix,animalMix}}\nconst LEGAL_MARKET_ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nfunction legalObserverFeature(o:any){const me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]),prices:any={},inventory:any={};for(const item of LEGAL_MARKET_ITEMS){prices[item]=Number(o.market?.prices?.[item]??0);inventory[item]=Number(o.market?.inventory?.[item]??0)}return{step:+o.step,day:+o.day,hour:+o.hour,me,opp,market:{prices,inventory},shops:[...(o.town?.unlocked_shops??[])]}}\nfunction gapDiagnostics(games:any[],perspective:'A'|'OURS'){\n const days=[0,3,6,9,12,15,18,21,24,27,29];\n const trajectory=days.map(day=>{const rows=games.map(g=>(g.timeline??[]).find((x:any)=>x.day===day)).filter(Boolean);const gaps=rows.map((x:any)=>perspective==='A'?x.a.cash-x.b.cash:x.ours.cash-x.ref.cash);return{day,gapMean:avg(gaps),gapMin:gaps.length?Math.min(...gaps):0,gapMax:gaps.length?Math.max(...gaps):0}});\n const windows=trajectory.slice(1).map((x,i)=>({fromDay:trajectory[i].day,toDay:x.day,gapChange:x.gapMean-trajectory[i].gapMean}));\n const largestGapGrowth=[...windows].sort((a,b)=>Math.abs(b.gapChange)-Math.abs(a.gapChange))[0]??null;\n return{trajectory,windows,largestGapGrowth};\n}\nasync function ensureRuntime(){\n if(runtimePromise)return runtimePromise;\n runtimePromise=(async()=>{\n const E=await loadOfficialKaggricultureEngine();\n const rr=await fetch(REF_DATASET);if(!rr.ok)throw new Error(`reference dataset HTTP ${rr.status}`);\n const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\n const py=await loadPyodide();\n py.runPython(`import json,copy\\n_REG={}\\n_SRC={}\\n_D=None\\n_BASE=None`);\n const loaded=new Set();\n async function loadRef(name:string){if(loaded.has(name))return;if(!z[name])throw new Error(`missing reference agent ${name}`);py.globals.set('nm',name);py.globals.set('src',strFromU8(z[name]));py.runPython(`_SRC[nm]=src\\n_n={}\\nexec(src,_n)\\n_REG[nm]=_n['agent']`);loaded.add(name)}\n await loadRef('rancher_rita.py');\n py.globals.set('src',strFromU8(z['rancher_rita.py']));\n py.runPython(`_d={}\\nexec(src,_d)\\n_D=_d\\n_BASE=copy.deepcopy(_d['POLICY'])\\ndef reset_ref(n):\\n _n={}\\n exec(_SRC[n],_n)\\n _REG[n]=_n['agent']\\ndef call_ref(n,p): return json.dumps(_REG[n](json.loads(p)))\\ndef call_dyn(p): return json.dumps(_D['agent'](json.loads(p)))\\ndef reset_dyn(variant):\\n _D['POLICY'].clear();_D['POLICY'].update(copy.deepcopy(_BASE));_D['POLICY']['animal_target']={'COW':0,'SHEEP':0}\\n if variant in ('MIX11_FERT','M40_FERT','M50_FERT','M60_FERT','ADAPT_V1') or variant.startswith('DP_'):_D['POLICY']['collect_fertilizer']=True\\n if variant in ('M40_FERT','M50_FERT','M60_FERT','ADAPT_V1') or variant.startswith('DP_'):\\n m={'M40_FERT':0.4,'M50_FERT':0.5,'M60_FERT':0.6,'ADAPT_V1':0.6}.get(variant,0.6);_D['POLICY']['crops']=['WHEAT','MELON'];_D['POLICY']['crop_share']={'WHEAT':1.0-m,'MELON':m};_D['POLICY']['plant_until']={'WHEAT':25,'MELON':16};_D['POLICY']['sell_order']=['MELON','MILK','WOOL','WHEAT'];_D['POLICY']['price_floor']={'MELON':80};_D['POLICY']['sell_chunk']=12\\ndef set_crop_policy(m):\\n m=max(0.2,min(0.8,float(m)));_D['POLICY']['crops']=['WHEAT','MELON'];_D['POLICY']['crop_share']={'WHEAT':1.0-m,'MELON':m}\\ndef set_wheat_only():\\n _D['POLICY']['crops']=['WHEAT'];_D['POLICY']['crop_share']={'WHEAT':1.0}\\ndef set_crop_mix3(w,m,s):\\n _D['POLICY']['crops']=['WHEAT','MELON','STRAWBERRY'];_D['POLICY']['crop_share']={'WHEAT':float(w),'MELON':float(m),'STRAWBERRY':float(s)}\\ndef set_herd(c,s,o):\\n _D['POLICY']['animal_target']={'COW':int(c),'SHEEP':int(s)};_D['POLICY']['animals']=json.loads(o)\\ndef set_ops(h,b):\\n _D['POLICY']['hands']=int(h);_D['POLICY']['build'][0]['target']=int(b);_D['POLICY']['land_after_animals']=10\\ndef set_build(b):\\n _D['POLICY']['build'][0]['target']=int(b)\\ndef set_base_build():\\n _D['POLICY']['build'][0]['target']=int(_BASE['build'][0]['target'])\\ndef set_land_after(n):\\n _D['POLICY']['land_after_animals']=int(n)`);\n return{E,py,z,loadRef,resetRef:py.globals.get('reset_ref'),callRef:py.globals.get('call_ref'),callDyn:py.globals.get('call_dyn'),resetDyn:py.globals.get('reset_dyn'),setCrop:py.globals.get('set_crop_policy'),setWheatOnly:py.globals.get('set_wheat_only'),setMix3:py.globals.get('set_crop_mix3'),setHerd:py.globals.get('set_herd'),setOps:py.globals.get('set_ops'),setBuild:py.globals.get('set_build'),setBaseBuild:py.globals.get('set_base_build'),setLand:py.globals.get('set_land_after')};\n })();\n return runtimePromise;\n}\nfunction own(o:any,a:string){const me=+o.player,f=o.farms[me];let n=+(o.private?.shed?.[a]??0);for(const i of o.private?.inventories??[])n+=+(i?.[a]??0);for(const row of f.tiles??[])for(const t of row??[])if(t&&typeof t==='object'&&t.animal===a)n++;return n}\nfunction enforceAnimals(o:any,act:any,t:any){const x:any={COW:own(o,'COW'),SHEEP:own(o,'SHEEP')},market:any[]=[];for(const m of act?.market??[]){if(Array.isArray(m)&&m[0]==='BUY_ANIMAL'&&(m[1]==='COW'||m[1]==='SHEEP')){const a=m[1],q=Math.max(0,Math.min(+m[2]||1,t[a]-x[a]));if(q){market.push(['BUY_ANIMAL',a,q]);x[a]+=q}}else market.push(m)}return{...act,market}}\nfunction addFertSell(o:any,act:any){const q=+(o.private?.shed?.FERTILIZER??0),p=+(o.market?.prices?.FERTILIZER??0);if(q>0&&p>=60&&(act.market?.length??0)<10)return{...act,market:[...(act.market??[]),['SELL','FERTILIZER',Math.min(20,q)]]};return act}\nfunction inventoryQty(o:any,item:string){let q=+(o.private?.shed?.[item]??0);for(const inv of o.private?.inventories??[])q+=+(inv?.[item]??0);return q}\nfunction addValueLiquidation(o:any,act:any,variant:string){const day=+o.day,hour=+o.hour,target=variant==='MIX11_LIQ21'?21:variant==='MIX11_LIQ24'?24:-1;if(hour!==0||day!==target||(act.market?.length??0)>=10)return act;const already:any={};for(const m of act.market??[])if(Array.isArray(m)&&m[0]==='SELL')already[String(m[1])]=(already[String(m[1])]??0)+(+m[2]||0);const items=['STRAWBERRY','MELON','MILK','WOOL','WHEAT','FERTILIZER'];const ranked=items.map(item=>{const q=Math.max(0,inventoryQty(o,item)-(already[item]??0)),p=+(o.market?.prices?.[item]??0);return{item,q,p,value:q*p}}).filter(x=>x.q>0&&x.p>0).sort((a,b)=>b.value-a.value);if(!ranked.length)return act;const x=ranked[0],q=Math.min(12,x.q,Math.max(1,Math.ceil(x.q*0.25)));return{...act,market:[...(act.market??[]),['SELL',x.item,q]]}}\nfunction actionSummary(act:any){const out:any={marketOps:0,sellOps:0,sellQty:0,sellByItem:{},buyOps:0,buyQty:0,buyByItem:{},hands:Array.isArray(act?.hands)?act.hands.length:0,farmer:Array.isArray(act?.farmer)?String(act.farmer[0]??''):''};for(const m of act?.market??[]){if(!Array.isArray(m))continue;out.marketOps++;const op=String(m[0]??''),item=String(m[1]??'UNKNOWN');const q=Number(m[2]??1)||0;if(op==='SELL'){out.sellOps++;out.sellQty+=q;out.sellByItem[item]=(out.sellByItem[item]??0)+q}else if(op.startsWith('BUY')){out.buyOps++;out.buyQty+=q;out.buyByItem[item]=(out.buyByItem[item]??0)+q}}return out}\nfunction accumulateAction(dst:any,s:any){dst.marketOps=(dst.marketOps??0)+s.marketOps;dst.sellOps=(dst.sellOps??0)+s.sellOps;dst.sellQty=(dst.sellQty??0)+s.sellQty;dst.buyOps=(dst.buyOps??0)+s.buyOps;dst.buyQty=(dst.buyQty??0)+s.buyQty;dst.hands=(dst.hands??0)+s.hands;dst.farmer=dst.farmer??{};if(s.farmer)dst.farmer[s.farmer]=(dst.farmer[s.farmer]??0)+1;dst.sellByItem=dst.sellByItem??{};for(const [k,v] of Object.entries(s.sellByItem??{}))dst.sellByItem[k]=(dst.sellByItem[k]??0)+Number(v);dst.buyByItem=dst.buyByItem??{};for(const [k,v] of Object.entries(s.buyByItem??{}))dst.buyByItem[k]=(dst.buyByItem[k]??0)+Number(v);return dst}\nasync function playRefVsRef(a:string,b:string,seed:number,aSeat:0|1){a=canonicalRefName(a);b=canonicalRefName(b);const R=await ensureRuntime();await R.loadRef(a);await R.loadRef(b);R.resetRef(a);R.resetRef(b);const cfg=R.E.state.resolveConfig({seed});let s=R.E.state.initGameState(2,cfg,seed),errors=0;const timeline:any[]=[],actionTimeline:any[]=[],actionWindows:any={};while(!s.done){if(+s.hour===0&&CHECK_DAYS.has(+s.day)){const fa=profilePublic(s.farms[aSeat]),fb=profilePublic(s.farms[1-aSeat]);timeline.push({day:+s.day,a:fa,b:fb,shops:[...(s.town?.unlocked_shops??[])],market:{WHEAT:+s.market.prices.WHEAT,MELON:+s.market.prices.MELON,MILK:+s.market.prices.MILK,WOOL:+s.market.prices.WOOL,STRAWBERRY:+s.market.prices.STRAWBERRY}})}const acts:any[]=[];for(const pid of [0,1] as const){const o=observationFor(s,pid),name=pid===aSeat?a:b;try{acts[pid]=JSON.parse(String(R.callRef(name,JSON.stringify(o))))}catch(e){errors++;acts[pid]={farmer:['PASS'],hands:[],market:[]}}}if(+s.hour===0&&CHECK_DAYS.has(+s.day))actionTimeline.push({day:+s.day,a:actionSummary(acts[aSeat]),b:actionSummary(acts[1-aSeat])});s=R.E.interpreter.step(s,acts,cfg)}const aBank=+s.farms[aSeat].money,bBank=+s.farms[1-aSeat].money;return{seed,aSeat,aBank,bBank,margin:aBank-bBank,winner:aBank>bBank?'A':aBank=9?'H':'N';if(variant==='DP_W')return day>=9?'W':'N';if(variant==='DP_B')return day>=9?'B':'N';if(variant==='DP_H_PULSE')return day>=9&&day<12?'H':'N';if(variant==='DP_B_PULSE')return day>=9&&day<12?'B':'N';if(variant==='DP_COND'||variant==='DP_COND_PULSE'){const counts=(n:string)=>shops.filter((x:string)=>x===n).length;const bounded=variant==='DP_COND_PULSE';if(day>=6&&(!bounded||day<9)&&counts('FARMERS_MARKET')>=2&&opp.animals-me.animals>=3)return 'B';if(day>=9&&(!bounded||day<12)&&opp.land-me.land>=1&&opp.crops-me.crops>=8&&opp.animals-me.animals>=5){if(counts('PET_CAFE')>=1&&counts('FARMERS_MARKET')===0&&(counts('ICE_CREAM_SHOP')>=1||counts('PIZZA_SHOP')>=1))return 'H';return 'W'}}return 'N'}\nfunction adaptiveCropDecision(o:any){const day=+o.day,me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]);const om=Number(opp.cropMix?.MELON??0),ow=Number(opp.cropMix?.WHEAT??0),rel=om+ow,cashGap=me.cash-opp.cash,cropGap=opp.crops-me.crops;if(day<6||rel<6)return{share:0.60,mode:'BASE',reason:'INSUFFICIENT_SIGNAL',cashGap,cropGap,oppMelonShare:rel?om/rel:0};const melonShare=om/rel,wheatShare=ow/rel;if(melonShare>=0.58)return{share:0.40,mode:'ANTI_GLUT_MELON',reason:'OPP_MELON_CONCENTRATION',cashGap,cropGap,oppMelonShare:melonShare};if(wheatShare>=0.68)return{share:0.70,mode:'COMPLEMENT_WHEAT_HEAVY',reason:'OPP_WHEAT_CONCENTRATION',cashGap,cropGap,oppMelonShare:melonShare};if(cropGap>=8&&cashGap<=-2500)return{share:0.70,mode:'UPSIDE_CHASE',reason:'BEHIND_CROP_AND_CASH',cashGap,cropGap,oppMelonShare:melonShare};if(cashGap>=3500)return{share:0.50,mode:'LEAD_DE_RISK',reason:'CASH_LEAD',cashGap,cropGap,oppMelonShare:melonShare};return{share:0.60,mode:'BALANCED',reason:'NO_STRONG_SIGNAL',cashGap,cropGap,oppMelonShare:melonShare}}\nfunction ewma(old:number,x:number,a=0.25){return old*(1-a)+x*a}\nfunction cropDistance(a:any,b:any){const ks=new Set([...Object.keys(a??{}),...Object.keys(b??{})]);let s=0,t=0;for(const k of ks){const av=Number(a?.[k]??0),bv=Number(b?.[k]??0);s+=Math.abs(av-bv);t+=Math.max(av,bv)}return t?s/t:0}\nfunction obgInit(){return{observations:0,marketReactive:0.5,expansionRusher:0.5,ourStateAwareness:0.5,adaptability:0.5,prevOpp:null as any,prevUs:null as any,prevMarket:null as any,lastMode:'INIT'}}\nfunction obgUpdate(o:any,g:any){const me=profilePublic(o.farms[+o.player]),opp=profilePublic(o.farms[1-(+o.player)]),m={WHEAT:+o.market?.prices?.WHEAT||0,MELON:+o.market?.prices?.MELON||0,STRAWBERRY:+o.market?.prices?.STRAWBERRY||0};if(g.prevOpp&&g.prevUs&&g.prevMarket){const md=Math.max(...Object.keys(m).map(k=>{const p=Number(g.prevMarket?.[k]??0),n=Number((m as any)[k]??0);return p>0?Math.abs(n-p)/p:0}));const od=cropDistance(opp.cropMix,g.prevOpp.cropMix),ourDelta=cropDistance(me.cropMix,g.prevUs.cropMix)+Math.min(1,Math.abs(me.land-g.prevUs.land)/2),expand=(opp.land>g.prevOpp.land||opp.crops-g.prevOpp.crops>=6||opp.land>me.land||opp.crops-me.crops>=8)?1:0;g.expansionRusher=ewma(g.expansionRusher,expand);if(md>=0.08)g.marketReactive=ewma(g.marketReactive,Math.min(1,od*3));if(ourDelta>=0.12&&md<0.08)g.ourStateAwareness=ewma(g.ourStateAwareness,Math.min(1,od*3));g.adaptability=ewma(g.adaptability,Math.min(1,(od+Math.abs(opp.land-g.prevOpp.land)*0.35)));}g.prevOpp=opp;g.prevUs=me;g.prevMarket=m;g.observations++;return{me,opp,market:m}}\nfunction obgFastDecision(o:any,g:any){const s=obgUpdate(o,g),me=s.me,opp=s.opp,day=+o.day,om=Number(opp.cropMix?.MELON??0),ow=Number(opp.cropMix?.WHEAT??0),rel=om+ow,melonShare=rel?om/rel:0,wheatShare=rel?ow/rel:0,cashGap=me.cash-opp.cash,cropGap=opp.crops-me.crops,landGap=opp.land-me.land;let share=0.60,mode='BALANCED',hands=8,build=Math.max(4,Math.min(16,own(o,'COW')+own(o,'SHEEP')+2));if(rel>=6&&melonShare>=0.58){share=0.40;mode='ANTI_MELON_CONCENTRATION'}else if(rel>=6&&wheatShare>=0.68&&s.market.MELON>=90){share=0.70;mode='COMPLEMENT_WHEAT_HEAVY'}if(day>=6&&(landGap>=1||cropGap>=8)&&g.expansionRusher>=0.45){hands=9;build=Math.max(build,14);mode+='|COUNTER_EXPANSION'}if(cashGap>=4500&&cropGap<=2){share=Math.min(share,0.50);hands=8;mode+='|LEAD_DERISK'}if(cashGap<=-3000&&cropGap>=8&&g.adaptability>=0.35){share=Math.max(share,0.68);hands=9;build=16;mode+='|CHASE'}g.lastMode=mode;return{share,hands,build,mode,profile:{marketReactive:g.marketReactive,expansionRusher:g.expansionRusher,ourStateAwareness:g.ourStateAwareness,adaptability:g.adaptability,observations:g.observations},cashGap,cropGap,landGap,oppMelonShare:melonShare}}\n\nasync function playOurVsRef(variant:string,ref:string,seed:number,ourSeat:0|1,opts:any={}){ref=canonicalRefName(ref);const R=await ensureRuntime();await R.loadRef(ref);R.resetRef(ref);R.resetDyn((variant==='M60_FERT_JIT'||variant==='DEPLOY10'||variant==='HERD4'||variant==='LAND6'||variant==='PHASE3')?'M60_FERT':variant);const cfg=R.E.state.resolveConfig({seed});let s=R.E.state.initGameState(2,cfg,seed),errors=0,tg:any={COW:0,SHEEP:0},comm=false,liqChecks=0,liqApplied=0,liqOpportunityQty=0,jitChecks=0,jitTargetSum=0;const timeline:any[]=[],actionTimeline:any[]=[],dailyActions:any[]=[],legalTrace:any[]=[],obg=obgInit(),obgTrace:any[]=[];const oracle=opts.oracleActionTelemetry==='FULL';let actionDay=-1,dayActsOur:any={},dayActsRef:any={};while(!s.done){if(opts.legalTelemetry==='FULL')legalTrace.push(legalObserverFeature(observationFor(s,ourSeat)));if(+s.hour===0&&CHECK_DAYS.has(+s.day)){timeline.push({day:+s.day,ours:profilePublic(s.farms[ourSeat]),ref:profilePublic(s.farms[1-ourSeat]),shops:[...(s.town?.unlocked_shops??[])],market:{WHEAT:+s.market.prices.WHEAT,MELON:+s.market.prices.MELON,MILK:+s.market.prices.MILK,WOOL:+s.market.prices.WOOL,STRAWBERRY:+s.market.prices.STRAWBERRY}})}const acts:any[]=[];for(const pid of [0,1] as const){const o=observationFor(s,pid);try{if(pid===ourSeat){if(variant.startsWith('DP_')){const owned=own(o,'COW')+own(o,'SHEEP'),mode=deploymentMode(o,variant),h=(mode==='H'||mode==='B')?9:8,b=(mode==='W'||mode==='B')?16:Math.max(4,Math.min(16,owned+2));R.setOps(h,b)}if(variant==='M60_FERT_JIT'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(16,owned+2));R.setBuild(b);jitChecks++;jitTargetSum+=b}if(variant==='PASTURE_RAMP'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(14,owned+2));R.setBuild(b);jitChecks++;jitTargetSum+=b}if(variant==='DEPLOY10'&&+o.hour===0){const owned=own(o,'COW')+own(o,'SHEEP'),b=Math.max(4,Math.min(14,owned+2));R.setOps(9,b)}if(variant==='ADAPT_V1'&&+o.hour===0){R.setCrop(adaptiveCropDecision(o).share)}if(variant==='EARLY_MELON40'&&+o.hour===0){if(+o.day<6)R.setCrop(0.40);else if(+o.day===6)R.setWheatOnly()}if((variant==='EARLY_BUILD4'||variant==='EARLY_HERD_BUILD4'||variant==='EARLY_HERD_BUILD8')&&+o.hour===0){if(+o.day<6)R.setBuild(variant==='EARLY_HERD_BUILD8'?8:4);else if(+o.day===6)R.setBaseBuild()}if((variant==='LAND6'||variant==='LAND_AFTER6_CLEAN')&&+o.hour===0){R.setLand(6)}if(variant==='PHASE3'&&+o.hour===0&&+o.day>=6){R.setMix3(0.20,0.30,0.50)}if(variant==='PORTFOLIO_D6_244'&&+o.hour===0&&+o.day>=6){R.setMix3(0.20,0.40,0.40)}if(+o.hour===0){const ow={COW:own(o,'COW'),SHEEP:own(o,'SHEEP')};tg={...ow};if(!comm){comm=ow.COW>=1&&ow.SHEEP>=1;if(!comm)tg={COW:Math.max(1,ow.COW),SHEEP:Math.max(1,ow.SHEEP)}}if(comm){const total=ow.COW+ow.SHEEP,c=choosePastureAnimal(o,{cashBuffer:400,strategicWeight:0});if(total<16&&c.choice){const step=variant==='HERD4'?4:2;tg[c.choice]+=Math.min(step,16-total);}R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(c.ranking.map((x:any)=>x.animal).filter((x:string)=>x==='COW'||x==='SHEEP')))}else R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(['SHEEP','COW']))}if((variant==='EARLY_HERD3'||variant==='EARLY_HERD4'||variant==='EARLY_HERD5'||variant==='EARLY_HERD_BUILD4'||variant==='EARLY_HERD_BUILD8')&&+o.hour===0&&+o.day<6){tg={COW:Math.max(variant==='EARLY_HERD3'?2:variant==='EARLY_HERD5'?4:3,own(o,'COW')),SHEEP:Math.max(1,own(o,'SHEEP'))};R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(['COW','SHEEP']))}let a=enforceAnimals(o,JSON.parse(String(R.callDyn(JSON.stringify(o)))),tg);if(variant==='MIX11_FERT'||variant==='M40_FERT'||variant==='M50_FERT'||variant.startsWith('M60_FERT')||variant.startsWith('DP_')||variant==='ADAPT_V1'||variant==='DEPLOY10'||variant==='HERD4'||variant==='LAND6'||variant==='PHASE3')a=addFertSell(o,a);if(variant==='MIX11_LIQ21'||variant==='MIX11_LIQ24'){const target=variant==='MIX11_LIQ21'?21:24;if(+o.hour===0&&+o.day===target){liqChecks++;for(const item of ['STRAWBERRY','MELON','MILK','WOOL','WHEAT','FERTILIZER'])liqOpportunityQty+=inventoryQty(o,item);const before=JSON.stringify(a.market??[]);a=addValueLiquidation(o,a,variant);if(JSON.stringify(a.market??[])!==before)liqApplied++}}acts[pid]=a}else acts[pid]=JSON.parse(String(R.callRef(ref,JSON.stringify(o))))}catch(e){errors++;acts[pid]={farmer:['PASS'],hands:[],market:[]}}}const sd=+s.day;if(oracle){if(actionDay!==sd){if(actionDay>=0)dailyActions.push({day:actionDay,ours:dayActsOur,ref:dayActsRef});actionDay=sd;dayActsOur={};dayActsRef={}}const ourActSummary=actionSummary(acts[ourSeat]),refActSummary=actionSummary(acts[1-ourSeat]);accumulateAction(dayActsOur,ourActSummary);accumulateAction(dayActsRef,refActSummary);if(+s.hour===0&&CHECK_DAYS.has(sd))actionTimeline.push({day:sd,ours:ourActSummary,ref:refActSummary})}if(+s.hour===0&&CHECK_DAYS.has(sd)){const oo=observationFor(s,ourSeat);obgUpdate(oo,obg);obgTrace.push({day:sd,profile:{marketReactive:obg.marketReactive,expansionRusher:obg.expansionRusher,ourStateAwareness:obg.ourStateAwareness,adaptability:obg.adaptability,observations:obg.observations},evidenceState:'HEURISTIC_CORRELATIONAL_UNCALIBRATED'})}s=R.E.interpreter.step(s,acts,cfg)}if(oracle&&actionDay>=0)dailyActions.push({day:actionDay,ours:dayActsOur,ref:dayActsRef});const ourBank=+s.farms[ourSeat].money,refBank=+s.farms[1-ourSeat].money;return{variant,ref,seed,ourSeat,ourBank,refBank,margin:ourBank-refBank,winner:ourBank>refBank?'OURS':ourBankg.winner==='A').length,winsB=games.filter(g=>g.winner==='B').length,ties=games.filter(g=>g.winner==='TIE').length;\n return{kind:jobType,a,b,seeds,episodes:games.length,winsA,winsB,ties,scoreA:(winsA+0.5*ties)/games.length,avgMarginA:avg(games.map(g=>g.margin)),avgBankA:avg(games.map(g=>g.aBank)),avgBankB:avg(games.map(g=>g.bBank)),errors:games.reduce((s,g)=>s+g.errors,0),gap:gapDiagnostics(games,'A'),games};\n }\n if(jobType==='OUR_VS_REFERENCE'){\n const variant=String(payload.variant??'MIX11'),ref=String(payload.ref),seeds=(payload.seeds??[]).map(Number);if(!ref||!seeds.length)throw new Error('OUR_VS_REFERENCE requires ref,seeds');if(!['MIX11','MIX11_FERT','M40_FERT','M50_FERT','M60_FERT','M60_FERT_JIT','MIX11_LIQ21','MIX11_LIQ24','DP_H','DP_W','DP_B','DP_COND','DP_H_PULSE','DP_B_PULSE','DP_COND_PULSE','ADAPT_V1','DEPLOY10','HERD4','LAND6','PHASE3','EARLY_MELON40','EARLY_HERD3','EARLY_HERD4','EARLY_HERD5','EARLY_BUILD4','EARLY_HERD_BUILD4','EARLY_HERD_BUILD8','PASTURE_RAMP','LAND_AFTER6_CLEAN','PORTFOLIO_D6_244'].includes(variant))throw new Error(`unsupported variant ${variant}`);\n const games:any[]=[];const opts={legalTelemetry:String(payload.legalTelemetry??'NONE'),oracleActionTelemetry:String(payload.oracleActionTelemetry??'NONE')};for(const seed of seeds){games.push(await playOurVsRef(variant,ref,seed,0,opts));games.push(await playOurVsRef(variant,ref,seed,1,opts))}\n const wins=games.filter(g=>g.winner==='OURS').length,losses=games.filter(g=>g.winner==='REF').length,ties=games.filter(g=>g.winner==='TIE').length;\n return{kind:jobType,variant,ref,seeds,episodes:games.length,wins,losses,ties,score:(wins+0.5*ties)/games.length,avgMargin:avg(games.map(g=>g.margin)),avgOurBank:avg(games.map(g=>g.ourBank)),avgRefBank:avg(games.map(g=>g.refBank)),errors:games.reduce((s,g)=>s+g.errors,0),gap:gapDiagnostics(games,'OURS'),games};\n }\n throw new Error(`unsupported job_type ${jobType}`);\n}\n\nexport function renderArtifactMarkdown(job:any,result:any){const lines=[`# Kaggriculture Autolab Run`,``,`- Core: ${AUTOLAB_CORE_VERSION}` ,`- Job: ${job.job_id}` ,`- Type: ${job.job_type}` ,`- Evidence: AUTOLAB_COMPUTE_RESULT_NOT_CHAMPION_PROOF`,`- Generated: ${new Date().toISOString()}`,``];if(result.kind==='PUBLIC_CROSSPLAY'){lines.push(`## Public crossplay`,``,`**${result.a} vs ${result.b}** — ${result.winsA}-${result.winsB}-${result.ties}, score A ${(100*result.scoreA).toFixed(1)}%, avg margin A ${result.avgMarginA.toFixed(1)}.`,``,`Largest observed gap-change window: ${JSON.stringify(result.gap.largestGapGrowth)}.`)}else{lines.push(`## Our agent vs reference`,``,`**${result.variant} vs ${result.ref}** — W/L/T ${result.wins}/${result.losses}/${result.ties}, score ${(100*result.score).toFixed(1)}%, avg margin ${result.avgMargin.toFixed(1)}.`,``,`Largest observed gap-change window: ${JSON.stringify(result.gap.largestGapGrowth)}.`)}lines.push(``,`## Guardrails`,``,`This artifact is laboratory evidence only. No Kaggle submission, spend, KYC, token use, or promotion to champion occurred. Public high-tier agents were used as black-box opponents; no non-licensed TRACE content was incorporated.`);return lines.join('\\n')}\n",[],[210,287],["D",1788770256365],[228,229,230],[210],["D",1788770222210],["D",1789550457365],{"_98":97,"_106":102},{"_98":97,"_99":100,"_101":102,"_18":55,"_103":104,"_105":25},{"_13":87,"_32":88,"_43":42,"_89":44,"_90":-5,"_91":-5,"_92":-5,"_93":-5,"_94":-5,"_95":45,"_96":97},"ctx",{"_80":-5,"_126":335,"_336":337,"_338":339,"_340":25,"_341":25,"_342":25,"_343":156,"_344":-5,"_345":-7,"_346":-7,"_347":61,"_348":25,"_349":25,"_350":-5,"_351":25,"_352":25,"_353":25,"_354":-5},"ENV",{"_306":307,"_308":309,"_310":88,"_311":312,"_313":314,"_315":316,"_317":318,"_319":320,"_321":322,"_323":324,"_325":326,"_327":328,"_329":330,"_331":332,"_333":334},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","fdb67791413f4386b4dbf18f354029a617f6160f","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

Diff · v113