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hs=variants.map(v=>arms[v].find((x:any)=>x.seat===seat)?.hash);hashBySeat[seat]={hashes:hs,equal:new Set(hs).size===1};}\nconst capFired=arms.CAP2_D6.every((x:any)=>x.capCalls===1)&&arms.CAP2_D6_STAGED.every((x:any)=>x.capCalls===1);\nconst stageFired=arms.STAGED_STRAW_D6_D12.every((x:any)=>x.stageCalls===3)&&arms.CAP2_D6_STAGED.every((x:any)=>x.stageCalls===3);\nconst landDiverged=[0,1].every(seat=>{const b=arms.MIX11.find((x:any)=>x.seat===seat),c=arms.CAP2_D6.find((x:any)=>x.seat===seat);return [9,12,15].some(d=>c.land[d]!==b.land[d]);});\nconst cross:any=await runAutolabJob('PUBLIC_CROSSPLAY',{a:'broker_bea.py',b:'rancher_rita.py',seeds:[108801]});\nconst out={core:AUTOLAB_CORE_VERSION,baselineV24V25TerminalParity:parity,oldGames,newGames,hashBySeat,capFired,stageFired,landDiverged,arms,publicCrossplaySmoke:{episodes:cross.episodes,errors:cross.errors,winsA:cross.winsA,winsB:cross.winsB,ties:cross.ties},pass:parity&&Object.values(hashBySeat).every((x:any)=>x.equal)&&capFired&&stageFired&&landDiverged&&cross.errors===0};\nconsole.log(JSON.stringify(out,null,2));\n",[18,117],"7115b891-bcb6-4cbb-b91f-32cdc242f58b",["D",1789011109169],"import { blob } from 'https://esm.town/v/std/blob/main.ts';\nimport { runAutolabJob, AUTOLAB_CORE_VERSION } from '../lib/kag_autolab_core.ts';\n\nconst baselineKey='artifacts/kaggriculture/autolab/20260908T063009Z_B53-V23-FRESH-CAPACITY-BROKER.json';\nconst r=await blob.get(baselineKey); const old=JSON.parse(await r.text());\nconst fresh=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:[108601],legalTelemetry:'NONE',oracleActionTelemetry:'NONE'});\nconst oldGames=old.result.games.filter((g:any)=>g.seed===108601).map((g:any)=>({seat:g.ourSeat,ourBank:g.ourBank,refBank:g.refBank,margin:g.margin,winner:g.winner,errors:g.errors})).sort((a:any,b:any)=>a.seat-b.seat);\nconst newGames=fresh.games.map((g:any)=>({seat:g.ourSeat,ourBank:g.ourBank,refBank:g.refBank,margin:g.margin,winner:g.winner,errors:g.errors})).sort((a:any,b:any)=>a.seat-b.seat);\nconst parity=JSON.stringify(oldGames)===JSON.stringify(newGames);\nconst staged=await runAutolabJob('OUR_VS_REFERENCE',{variant:'STAGED_STRAW_D6_D12',ref:'broker_bea.py',seeds:[108701],legalTelemetry:'NONE',oracleActionTelemetry:'NONE'});\nconst detector=staged.games.map((g:any)=>({seat:g.ourSeat,calls:g.stagedPortfolioCalls,landmarks:Object.fromEntries([6,9,12,15].map(d=>{const t=g.timeline.find((x:any)=>x.day===d);return [d,t?.ours?.cropMix??null]})),margin:g.margin,winner:g.winner,errors:g.errors}));\nconst out={core:AUTOLAB_CORE_VERSION,mix11_v23_v24_terminal_parity:parity,oldGames,newGames,stagedDetector:detector};\nconsole.log(JSON.stringify(out,null,2));\n",[18,123],"01cae341-3f69-4a58-a3d1-80334e7294c1",["D",1789011109169],"import {unzipSync,strFromU8} from 'npm:fflate';import {loadPyodide} from 'npm:pyodide';import {loadOfficialKaggricultureEngine,observationFor} from '../lib/kaggriculture_engine_loader.ts';\nconst REFS=['broker_bea.py','rancher_rita.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rotation_rosa.py','homestead_hana.py','melon_mateo.py'];const SEEDS=[106901,106913,106927];const TARGET_STEPS=new Set([0,57,144,289,433,577]);const LAND_LEVELS=[['NW'],['NW','NE'],['NW','NE','SW'],['NW','NE','SW','SE']];\nconst E=await loadOfficialKaggricultureEngine();const rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_R0={}\\n_R1={}`);for(const n of REFS){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}py.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_baseline():\\n global _R0,_R1\\n _R0=_mk('rancher_rita.py');_R1=_mk('rancher_rita.py')\\ndef call_base(seat,p): return json.dumps((_R0 if seat==0 else _R1)['agent'](json.loads(p)))\\ndef call_fresh(n,p):\\n d=_mk(n)\\n return json.dumps(d['agent'](json.loads(p)))`);const reset=py.globals.get('reset_baseline'),base=py.globals.get('call_base'),fresh=py.globals.get('call_fresh');\nconst prestates:any[]=[];for(const seed of SEEDS){reset();const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const a0=JSON.parse(String(base(0,JSON.stringify(observationFor(s,0))))),a1=JSON.parse(String(base(1,JSON.stringify(observationFor(s,1)))));if(TARGET_STEPS.has(Number(s.step)))prestates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),obs:observationFor(s,1)});s=E.interpreter.step(s,[a0,a1],cfg)}}\nconst refs:any={};for(const ref of REFS){let responsive=0,distinctSum=0,pair1to3=0,pair1to4=0;const byStep:any={};for(const ps of prestates){const acts:any[]=[];for(const level of LAND_LEVELS){const o=structuredClone(ps.obs);o.farms[0].unlocked_quadrants=[...level];acts.push(JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(o))))));}const distinct=new Set(acts).size;responsive+=distinct>1?1:0;distinctSum+=distinct;pair1to3+=acts[0]!==acts[2]?1:0;pair1to4+=acts[0]!==acts[3]?1:0;const k=`${ps.step}`;byStep[k]??={n:0,responsive:0};byStep[k].n++;byStep[k].responsive+=distinct>1?1:0;}refs[ref]={n:prestates.length,responsivePrestates:responsive,meanDistinctActions:distinctSum/prestates.length,pair1to3,pair1to4,byStep};}\nconsole.log(JSON.stringify({schema:'KAG_FIXED_PRESTATE_LAND_REACTION_V1_FAMILY',evidence_state:'OFFLINE_BLACKBOX_PUBLIC_LAND_PERCEPTION_INTERVENTION_ACTION_LEVEL',seeds:SEEDS,prestates:prestates.length,landLevels:LAND_LEVELS.map(x=>x.length),refs,guardrails:['same prestates across all refs','only public unlocked_quadrants changed in opponent observation','action-level awareness only; economic materiality requires coherent-state fork','raw action used offline only as treatment-fired label']},null,2));",[18,129],"f4810b80-9a3f-4bf0-b1e9-54cfe430310e",["D",1789011109169],"import {unzipSync,strFromU8} from 'npm:fflate';import {loadPyodide} from 'npm:pyodide';import {loadOfficialKaggricultureEngine,observationFor} from '../lib/kaggriculture_engine_loader.ts';\nconst REFS=['broker_bea.py','rancher_rita.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rotation_rosa.py','homestead_hana.py','melon_mateo.py'];const SEEDS=[107101,107113,107127];const TARGET_STEPS=new Set([57,289,433,577]);\nconst E=await loadOfficialKaggricultureEngine();const rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_R0={}\\n_R1={}`);for(const n of REFS){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}py.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_baseline():\\n global _R0,_R1\\n _R0=_mk('rancher_rita.py');_R1=_mk('rancher_rita.py')\\ndef call_base(seat,p): return json.dumps((_R0 if seat==0 else _R1)['agent'](json.loads(p)))\\ndef call_fresh(n,p):\\n d=_mk(n)\\n return json.dumps(d['agent'](json.loads(p)))`);const reset=py.globals.get('reset_baseline'),base=py.globals.get('call_base'),fresh=py.globals.get('call_fresh');\nconst prestates:any[]=[];for(const seed of SEEDS){reset();const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const a0=JSON.parse(String(base(0,JSON.stringify(observationFor(s,0))))),a1=JSON.parse(String(base(1,JSON.stringify(observationFor(s,1)))));if(TARGET_STEPS.has(Number(s.step))){const obs=observationFor(s,1),hands=obs.farms?.[0]?.hands??[];if(Array.isArray(hands)&&hands.length>=5)prestates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),obs,actual:Number(obs.farms[0].hires_today??0)});}s=E.interpreter.step(s,[a0,a1],cfg)}}\nconst refs:any={};for(const ref of REFS){let responsive=0,distinctSum=0,pair0actual=0;const byStep:any={};for(const ps of prestates){const levels=Array.from(new Set([0,1,3,ps.actual]));const acts=levels.map((n:number)=>{const o=structuredClone(ps.obs);o.farms[0].hires_today=n;return JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(o)))))});const distinct=new Set(acts).size;responsive+=distinct>1?1:0;distinctSum+=distinct;const a0=acts[levels.indexOf(0)],aa=acts[levels.indexOf(ps.actual)];pair0actual+=a0!==aa?1:0;const k=String(ps.step);byStep[k]??={n:0,responsive:0};byStep[k].n++;byStep[k].responsive+=distinct>1?1:0;}refs[ref]={n:prestates.length,responsivePrestates:responsive,meanDistinctActions:prestates.length?distinctSum/prestates.length:0,pair0actual,byStep};}\nconsole.log(JSON.stringify({schema:'KAG_FIXED_PRESTATE_HIRES_TODAY_REACTION_V1_FAMILY',evidence_state:'OFFLINE_BLACKBOX_PUBLIC_HIRES_TODAY_PERCEPTION_INTERVENTION_ACTION_LEVEL',seeds:SEEDS,prestates:prestates.length,refs,guardrails:['hands list preserved exactly','only public hires_today changed','action-level awareness only','raw action offline treatment-fired label only']},null,2));",[18,135],"89960fdc-2727-4f24-a9da-c89b0d112ad8",["D",1789011109169],"import {unzipSync,strFromU8} from 'npm:fflate';import {loadPyodide} from 'npm:pyodide';import {loadOfficialKaggricultureEngine,observationFor} from '../lib/kaggriculture_engine_loader.ts';\nconst REFS=['broker_bea.py','rancher_rita.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rotation_rosa.py','homestead_hana.py','melon_mateo.py'];const SEEDS=[107001,107013,107027];const TARGET_STEPS=new Set([57,289,433,577]);\nconst E=await loadOfficialKaggricultureEngine();const rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_R0={}\\n_R1={}`);for(const n of REFS){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}py.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_baseline():\\n global _R0,_R1\\n _R0=_mk('rancher_rita.py');_R1=_mk('rancher_rita.py')\\ndef call_base(seat,p): return json.dumps((_R0 if seat==0 else _R1)['agent'](json.loads(p)))\\ndef call_fresh(n,p):\\n d=_mk(n)\\n return json.dumps(d['agent'](json.loads(p)))`);const reset=py.globals.get('reset_baseline'),base=py.globals.get('call_base'),fresh=py.globals.get('call_fresh');\nconst prestates:any[]=[];for(const seed of SEEDS){reset();const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const a0=JSON.parse(String(base(0,JSON.stringify(observationFor(s,0))))),a1=JSON.parse(String(base(1,JSON.stringify(observationFor(s,1)))));if(TARGET_STEPS.has(Number(s.step))){const obs=observationFor(s,1),hands=obs.farms?.[0]?.hands??[];if(Array.isArray(hands)&&hands.length>=5)prestates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),obs,actualHands:hands.length});}s=E.interpreter.step(s,[a0,a1],cfg)}}\nconst refs:any={};for(const ref of REFS){let responsive=0,distinctSum=0,pair0full=0,pair1full=0,pair3full=0;const byStep:any={};for(const ps of prestates){const h=ps.obs.farms[0].hands;const counts=[0,1,Math.min(3,h.length),h.length];const acts=counts.map((n:number)=>{const o=structuredClone(ps.obs);o.farms[0].hands=structuredClone(h.slice(0,n));o.farms[0].hires_today=Math.min(Number(o.farms[0].hires_today??n),n);return JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(o)))))});const distinct=new Set(acts).size;responsive+=distinct>1?1:0;distinctSum+=distinct;pair0full+=acts[0]!==acts[3]?1:0;pair1full+=acts[1]!==acts[3]?1:0;pair3full+=acts[2]!==acts[3]?1:0;const k=String(ps.step);byStep[k]??={n:0,responsive:0};byStep[k].n++;byStep[k].responsive+=distinct>1?1:0;}refs[ref]={n:prestates.length,responsivePrestates:responsive,meanDistinctActions:prestates.length?distinctSum/prestates.length:0,pair0full,pair1full,pair3full,byStep};}\nconsole.log(JSON.stringify({schema:'KAG_FIXED_PRESTATE_HANDS_REACTION_V1_FAMILY',evidence_state:'OFFLINE_BLACKBOX_PUBLIC_HANDS_PERCEPTION_INTERVENTION_ACTION_LEVEL',seeds:SEEDS,prestates:prestates.length,refs,guardrails:['same prestates across refs','only visible hands list and consistent hires_today cap changed','existing hand objects only; no synthetic hand coordinates','action-level awareness only; economic materiality requires coherent-state fork','raw action offline treatment-fired label only']},null,2));",[18,141],"9bc529d5-9e04-4d64-9885-561199d78815",["D",1789011109169],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from '../lib/kaggriculture_engine_loader.ts';\n\nconst SEEDS=[106427,106439,106451,106463];\nconst E=await loadOfficialKaggricultureEngine();\nconst r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);\nconst z=unzipSync(new Uint8Array(await r.arrayBuffer()));const py=await loadPyodide();py.runPython(`import json\\n_R={}`);\nfor(const n of ['broker_bea.py','rotation_rosa.py']){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_n={}\\nexec(src,_n)\\n_R[nm]=_n['agent']`)}\npy.runPython(`def c(n,p): return json.dumps(_R[n](json.loads(p)))`);const c=py.globals.get('c');const call=(n:string,o:any)=>JSON.parse(String(c(n,JSON.stringify(o))));\nfunction wix(a:any){const m=a?.market??[];for(let i=0;i0?{farmer:['PASS'],hands:[],market:[['BUY_PRODUCT','WHEAT',q]]}:{farmer:['PASS'],hands:[],market:[]};const ns=E.interpreter.step(st,[a0,a1],cfg);return{wheatSellIndex:wix(a0),buyQtyAcquired:ownWheat(ns,1)-beforeW,spent:beforeC-Number(ns.farms[1].money),priceBefore:beforeP,priceAfter:Number(ns.market.prices.WHEAT),inventoryBefore:beforeI,inventoryAfter:Number(ns.market.inventory.WHEAT)}}\nconst perSeed:any[]=[];let totalCandidates=0,totalComparable=0,totalNonzero=0,maxSaving=0;const savings:number[]=[];\nfor(const seed of SEEDS){const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);let candidates=0,comparable=0,nonzero=0,best:any=null;while(!s.done){const b=observationFor(s,0),lo=structuredClone(b),hi=structuredClone(b);lo.farms[1].money=199;hi.farms[1].money=200;const al=call('broker_bea.py',lo),ah=call('broker_bea.py',hi);if(JSON.stringify(al.market)!==JSON.stringify(ah.market)&&wix(al)!==wix(ah)){candidates++;const p=Number(s.market.prices.WHEAT),q=Math.max(0,Math.min(5,Math.floor(180/Math.max(1,p))));if(q>0){const low=simulate(s,cfg,199,q),high=simulate(s,cfg,200,q);if(low.buyQtyAcquired===high.buyQtyAcquired&&low.buyQtyAcquired>0){comparable++;const saving=low.spent-high.spent;savings.push(saving);if(saving!==0)nonzero++;if(!best||saving>best.saving)best={step:Number(s.step),day:Number(s.day),hour:Number(s.hour),q,saving,low,high};}}}const a0=call('broker_bea.py',observationFor(s,0)),a1=call('rotation_rosa.py',observationFor(s,1));s=E.interpreter.step(s,[a0,a1],cfg)}perSeed.push({seed,candidates,comparable,nonzero,best});totalCandidates+=candidates;totalComparable+=comparable;totalNonzero+=nonzero;maxSaving=Math.max(maxSaving,Number(best?.saving??0));}\nconst meanSaving=savings.length?savings.reduce((a,b)=>a+b,0)/savings.length:0;\nconsole.log(JSON.stringify({schema:'KAG_REACTION_CASH_MARKET_MEDIATION_V2_FRESH_WORLDS',evidence_state:'FIXED_PRESTATE_MARKET_MEDIATION_CAUSAL_FALSIFICATION_OFFLINE',seeds:SEEDS,totalCandidates,totalComparable,totalNonzero,maxSaving,positiveRate:totalComparable?totalNonzero/totalComparable:0,meanSavingAcrossComparable:meanSaving,perSeed,inferenceGuardrails:['DIRECT_AWARENESS != MATERIAL_ECONOMIC_EFFECT','offline raw action used only to verify treatment fired','fresh-world replication does not imply deployable feature','BUY_PRODUCT contention is controlled teacher probe']},null,2));",[18,147],"27a6f33f-a18f-45bc-a8cf-7166f4917190",["D",1789011109169],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from '../lib/kaggriculture_engine_loader.ts';\n\nconst SEEDS=[106427];\nconst E=await loadOfficialKaggricultureEngine();\nconst r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);\nconst z=unzipSync(new Uint8Array(await r.arrayBuffer()));const py=await loadPyodide();py.runPython(`import json\\n_R={}`);\nfor(const n of ['broker_bea.py','rotation_rosa.py']){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_n={}\\nexec(src,_n)\\n_R[nm]=_n['agent']`)}\npy.runPython(`def c(n,p): return json.dumps(_R[n](json.loads(p)))`);const c=py.globals.get('c');const call=(n:string,o:any)=>JSON.parse(String(c(n,JSON.stringify(o))));\nfunction wix(a:any){const m=a?.market??[];for(let i=0;i0?{farmer:['PASS'],hands:[],market:[['BUY_PRODUCT','WHEAT',q]]}:{farmer:['PASS'],hands:[],market:[]};const ns=E.interpreter.step(st,[a0,a1],cfg);return{wheatSellIndex:wix(a0),buyQtyAcquired:ownWheat(ns,1)-beforeW,spent:beforeC-Number(ns.farms[1].money),priceBefore:beforeP,priceAfter:Number(ns.market.prices.WHEAT),inventoryBefore:beforeI,inventoryAfter:Number(ns.market.inventory.WHEAT)}}\nconst perSeed:any[]=[];let totalCandidates=0,totalComparable=0,totalNonzero=0,maxSaving=0;\nfor(const seed of SEEDS){const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);let candidates=0,comparable=0,nonzero=0,best:any=null;while(!s.done){const b=observationFor(s,0),lo=structuredClone(b),hi=structuredClone(b);lo.farms[1].money=199;hi.farms[1].money=200;const al=call('broker_bea.py',lo),ah=call('broker_bea.py',hi);if(JSON.stringify(al.market)!==JSON.stringify(ah.market)&&wix(al)!==wix(ah)){candidates++;const p=Number(s.market.prices.WHEAT),q=Math.max(0,Math.min(5,Math.floor(180/Math.max(1,p))));if(q>0){const low=simulate(s,cfg,199,q),high=simulate(s,cfg,200,q);if(low.buyQtyAcquired===high.buyQtyAcquired&&low.buyQtyAcquired>0){comparable++;const saving=low.spent-high.spent;if(saving!==0)nonzero++;if(!best||saving>best.saving)best={step:Number(s.step),day:Number(s.day),hour:Number(s.hour),q,saving,low,high};}}}const a0=call('broker_bea.py',observationFor(s,0)),a1=call('rotation_rosa.py',observationFor(s,1));s=E.interpreter.step(s,[a0,a1],cfg)}perSeed.push({seed,candidates,comparable,nonzero,best});totalCandidates+=candidates;totalComparable+=comparable;totalNonzero+=nonzero;maxSaving=Math.max(maxSaving,Number(best?.saving??0));}\nconsole.log(JSON.stringify({schema:'KAG_REACTION_CASH_MARKET_MEDIATION_V1',evidence_state:'FIXED_PRESTATE_MARKET_MEDIATION_CAUSAL_CALIBRATION_OFFLINE',seeds:SEEDS,totalCandidates,totalComparable,totalNonzero,maxSaving,positiveRate:totalComparable?totalNonzero/totalComparable:0,perSeed,inferenceGuardrails:['DIRECT_AWARENESS != MATERIAL_ECONOMIC_EFFECT','offline raw action used only to verify treatment fired','BUY_PRODUCT contention is controlled teacher probe, not deployable opponent raw-action feature']},null,2));",[18,153],"eb00afee-4f83-4abb-b0b0-a475ebbf6da1",["D",1789011109169],"import { unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from '../lib/kaggriculture_engine_loader.ts';\n\nconst REFS=['broker_bea.py','rancher_rita.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rotation_rosa.py','homestead_hana.py','melon_mateo.py'];\nconst SEEDS=[106501,106513,106527];\nconst TARGET_STEPS=new Set([0,57,144,289,433,577]);\nconst CASH_LEVELS=[0,199,200,500,1000,3000,10000,50000];\nconst ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nfunction pub(f:any){let crops=0,pastures=0,animals=0;for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;if(t.kind==='PASTURE')pastures++;if(t.animal)animals++;if(t.crop||t.plant||t.kind==='PLANT')crops++;}return{cash:Number(f?.money??0),land:(f?.unlocked_quadrants??[]).length,crops,pastures,animals};}\nfunction sig(a:any){return JSON.stringify(a);}\nfunction consequence(E:any,s:any,cfg:any,ourAct:any,refAct:any){let n:any;try{n=E.interpreter.step(structuredClone(s),[ourAct,refAct],cfg);}catch(e){return{valid:false,error:String((e as any)?.message??e)}}const m:any={};for(const k of ITEMS)m[k]={p:Number(n.market?.prices?.[k]??0),i:Number(n.market?.inventory?.[k]??0)};return{valid:true,opp:pub(n.farms[1]),market:m};}\nfunction delta(a:any,b:any){if(!a?.valid||!b?.valid)return null;let marketInventoryL1=0,marketPriceL1=0;for(const k of ITEMS){marketInventoryL1+=Math.abs(Number(b.market[k].i)-Number(a.market[k].i));marketPriceL1+=Math.abs(Number(b.market[k].p)-Number(a.market[k].p));}return{oppCash:Number(b.opp.cash)-Number(a.opp.cash),oppLand:Number(b.opp.land)-Number(a.opp.land),oppCrops:Number(b.opp.crops)-Number(a.opp.crops),oppPastures:Number(b.opp.pastures)-Number(a.opp.pastures),oppAnimals:Number(b.opp.animals)-Number(a.opp.animals),marketInventoryL1,marketPriceL1};}\nconst E=await loadOfficialKaggricultureEngine();const rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`reference dataset HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_R0={}\\n_R1={}`);for(const name of REFS){py.globals.set('nm',name);py.globals.set('src',strFromU8(z[name]));py.runPython(`_SRC[nm]=src`)}\npy.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_baseline():\\n global _R0,_R1\\n _R0=_mk('rancher_rita.py');_R1=_mk('rancher_rita.py')\\ndef call_base(seat,p): return json.dumps((_R0 if seat==0 else _R1)['agent'](json.loads(p)))\\ndef call_fresh(n,p):\\n d=_mk(n)\\n return json.dumps(d['agent'](json.loads(p)))`);\nconst resetBaseline=py.globals.get('reset_baseline'),callBase=py.globals.get('call_base'),callFresh=py.globals.get('call_fresh');const prestates:any[]=[];\nfor(const seed of SEEDS){resetBaseline();const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const a0=JSON.parse(String(callBase(0,JSON.stringify(observationFor(s,0)))));const a1=JSON.parse(String(callBase(1,JSON.stringify(observationFor(s,1)))));if(TARGET_STEPS.has(Number(s.step)))prestates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),state:structuredClone(s),ourAct:a0,cfg});s=E.interpreter.step(s,[a0,a1],cfg)}}\nconst refs:any={};for(const ref of REFS){let changed199200=0,material199200=0,distinctSum=0,anyCashResponsive=0;const rows:any[]=[];for(const ps of prestates){const baseObs=observationFor(ps.state,1),by:any={};for(const cash of CASH_LEVELS){const o=structuredClone(baseObs);o.farms[0].money=cash;const act=JSON.parse(String(callFresh(ref,JSON.stringify(o))));by[cash]={actionSig:sig(act),next:consequence(E,ps.state,ps.cfg,ps.ourAct,act)}}const d=delta(by[199].next,by[200].next),changed=by[199].actionSig!==by[200].actionSig,distinct=new Set(CASH_LEVELS.map(x=>by[x].actionSig)).size;changed199200+=changed?1:0;anyCashResponsive+=distinct>1?1:0;if(d&&(Math.abs(d.oppCash)+Math.abs(d.oppLand)*100+Math.abs(d.oppCrops)*10+Math.abs(d.oppAnimals)*20+d.marketInventoryL1+d.marketPriceL1)>0)material199200++;distinctSum+=distinct;rows.push({seed:ps.seed,step:ps.step,day:ps.day,hour:ps.hour,changed199200,delta199200:d,distinctActionsAcrossCashLevels:distinct});}refs[ref]={n:rows.length,changed199200,material199200,anyCashResponsive,meanDistinctActions:rows.length?distinctSum/rows.length:0,nonzeroRows:rows.filter(r=>r.changed199200||r.distinctActionsAcrossCashLevels>1)};}\nconst summary=Object.fromEntries(Object.entries(refs).map(([k,v]:any)=>[k,{n:v.n,changed199200:v.changed199200,material199200:v.material199200,anyCashResponsive:v.anyCashResponsive,meanDistinctActions:v.meanDistinctActions}]));console.log(JSON.stringify({schema:'KAG_FIXED_PRESTATE_CASH_REACTION_V2_FAMILY_SUMMARY',evidence_state:'OFFLINE_BLACKBOX_PERCEPTION_INTERVENTION_FRESH_FAMILY_NOT_DEPLOYABLE',seeds:SEEDS,prestates:prestates.length,refs:summary,guardrails:['same fixed prestates across all refs','raw actions are offline teacher treatment-fired labels only','DIRECT_AWARENESS != MATERIAL_ECONOMIC_EFFECT','observational B41 lift is not causal']},null,2));",[18,159],"ecd71893-4ba7-4e64-85b8-0745b7e0cb6d",["D",1789011109169],"import { unzipSync, strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine, observationFor } from '../lib/kaggriculture_engine_loader.ts';\n\nconst REFS=['rotation_rosa.py','homestead_hana.py','melon_mateo.py','broker_bea.py'];\nconst SEEDS=[106101,106113,106127];\nconst TARGET_STEPS=new Set([0,57,144,289,433,577]);\nconst CASH_LEVELS=[0,199,200,500,1000,3000,10000,50000];\nconst ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nfunction pub(f:any){let crops=0,pastures=0,animals=0;for(const row of f?.tiles??[])for(const t of row??[]){if(!t||typeof t!=='object')continue;if(t.kind==='PASTURE')pastures++;if(t.animal)animals++;if(t.crop||t.plant||t.kind==='PLANT')crops++;}return{cash:Number(f?.money??0),land:(f?.unlocked_quadrants??[]).length,crops,pastures,animals};}\nfunction sig(a:any){return JSON.stringify(a);}\nfunction consequence(E:any,s:any,cfg:any,ourAct:any,refAct:any){const acts=[ourAct,refAct];let n:any;try{n=E.interpreter.step(structuredClone(s),acts,cfg);}catch(e){return{valid:false,error:String((e as any)?.message??e)}}const m:any={};for(const k of ITEMS)m[k]={p:Number(n.market?.prices?.[k]??0),i:Number(n.market?.inventory?.[k]??0)};return{valid:true,opp:pub(n.farms[1]),market:m};}\nfunction delta(a:any,b:any){if(!a?.valid||!b?.valid)return null;let marketInventoryL1=0,marketPriceL1=0;for(const k of ITEMS){marketInventoryL1+=Math.abs(Number(b.market[k].i)-Number(a.market[k].i));marketPriceL1+=Math.abs(Number(b.market[k].p)-Number(a.market[k].p));}return{oppCash:Number(b.opp.cash)-Number(a.opp.cash),oppLand:Number(b.opp.land)-Number(a.opp.land),oppCrops:Number(b.opp.crops)-Number(a.opp.crops),oppPastures:Number(b.opp.pastures)-Number(a.opp.pastures),oppAnimals:Number(b.opp.animals)-Number(a.opp.animals),marketInventoryL1,marketPriceL1};}\n\nconst E=await loadOfficialKaggricultureEngine();\nconst rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`reference dataset HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_T={}\\n_R0={}\\n_R1={}`);\nfor(const name of [...REFS,'rancher_rita.py']){py.globals.set('nm',name);py.globals.set('src',strFromU8(z[name]));py.runPython(`_SRC[nm]=src`)}\npy.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_baseline():\\n global _R0,_R1\\n _R0=_mk('rancher_rita.py');_R1=_mk('rancher_rita.py')\\ndef call_base(seat,p): return json.dumps((_R0 if seat==0 else _R1)['agent'](json.loads(p)))\\ndef call_fresh(n,p):\\n d=_mk(n)\\n return json.dumps(d['agent'](json.loads(p)))`);\nconst resetBaseline=py.globals.get('reset_baseline'),callBase=py.globals.get('call_base'),callFresh=py.globals.get('call_fresh');\nconst prestates:any[]=[];\nfor(const seed of SEEDS){resetBaseline();const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const o0=observationFor(s,0),o1=observationFor(s,1);const a0=JSON.parse(String(callBase(0,JSON.stringify(o0))));const a1=JSON.parse(String(callBase(1,JSON.stringify(o1))));if(TARGET_STEPS.has(Number(s.step)))prestates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),state:structuredClone(s),ourAct:a0,cfg});s=E.interpreter.step(s,[a0,a1],cfg)}}\nconst output:any={schema:'KAG_FIXED_PRESTATE_CASH_REACTION_V1',evidence_state:'OFFLINE_BLACKBOX_PERCEPTION_INTERVENTION_NOT_DEPLOYABLE_BY_ITSELF',prestates:prestates.length,refs:{}};\nfor(const ref of REFS){const rows:any[]=[];let changed199200=0,material199200=0,distinctSum=0;for(const ps of prestates){const baseObs=observationFor(ps.state,1);const by:any={};for(const cash of CASH_LEVELS){const o=structuredClone(baseObs);o.farms[0].money=cash;const act=JSON.parse(String(callFresh(ref,JSON.stringify(o))));by[cash]={actionSig:sig(act),next:consequence(E,ps.state,ps.cfg,ps.ourAct,act)}}const d=delta(by[199].next,by[200].next),changed=by[199].actionSig!==by[200].actionSig;const distinct=new Set(CASH_LEVELS.map(x=>by[x].actionSig)).size;changed199200+=changed?1:0;if(d&&(Math.abs(d.oppCash)+Math.abs(d.oppLand)*100+Math.abs(d.oppCrops)*10+Math.abs(d.oppAnimals)*20+d.marketInventoryL1+d.marketPriceL1)>0)material199200++;distinctSum+=distinct;rows.push({seed:ps.seed,step:ps.step,day:ps.day,hour:ps.hour,actualOurCash:Number(baseObs.farms[0].money??0),changed199200,delta199200:d,distinctActionsAcrossCashLevels:distinct})}output.refs[ref]={n:rows.length,changed199200,material199200,meanDistinctActions:rows.length?distinctSum/rows.length:0,rows};}\nconsole.log(JSON.stringify({schema:output.schema,evidence_state:output.evidence_state,prestates:output.prestates,refs:Object.fromEntries(Object.entries(output.refs).map(([k,v]:any)=>[k,{n:v.n,changed199200:v.changed199200,material199200:v.material199200,meanDistinctActions:v.meanDistinctActions,nonzeroRows:v.rows.filter((r:any)=>r.distinctActionsAcrossCashLevels>1||r.changed199200).slice(0,12)}]))},null,2));",[18,165],"589160a0-9745-4c0e-b2f6-a84ffa4f2506",["D",1789011109169],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from '../lib/kaggriculture_engine_loader.ts';\nconst REFS=['broker_bea.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rancher_rita.py'];\nconst SEEDS=[106501,106513,106527],STEPS=new Set([0,144]);\nconst E=await loadOfficialKaggricultureEngine();const r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer()));const py=await loadPyodide();py.runPython(`import json\\n_SRC={}`);for(const n of [...REFS,'rancher_rita.py']){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}py.runPython(`def fresh(n,p):\\n d={}\\n exec(_SRC[n],d)\\n return json.dumps(d['agent'](json.loads(p)))\\ndef base(n,p):\\n d={}\\n exec(_SRC['rancher_rita.py'],d)\\n return json.dumps(d['agent'](json.loads(p)))`);const fresh=py.globals.get('fresh'),base=py.globals.get('base');\nconst prestates:any[]=[];for(const seed of SEEDS){const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){if(STEPS.has(Number(s.step)))prestates.push({seed,step:Number(s.step),day:Number(s.day),hour:Number(s.hour),state:structuredClone(s)});const a0=JSON.parse(String(base(0,JSON.stringify(observationFor(s,0))))),a1=JSON.parse(String(base(1,JSON.stringify(observationFor(s,1)))));s=E.interpreter.step(s,[a0,a1],cfg)}}\nconst out:any={schema:'KAG_CASH_FAMILY_FIXEDPRESTATE_V2',evidence_state:'OFFLINE_BLACKBOX_TREATMENT_FIRED_CALIBRATION',prestates:prestates.length,refs:{}};for(const ref of REFS){let changed=0;const byStep:any={};for(const ps of prestates){const o=observationFor(ps.state,1),lo=structuredClone(o),hi=structuredClone(o);lo.farms[0].money=199;hi.farms[0].money=200;const a=JSON.parse(String(fresh(ref,JSON.stringify(lo)))),b=JSON.parse(String(fresh(ref,JSON.stringify(hi)))),c=JSON.stringify(a)!==JSON.stringify(b);changed+=c?1:0;const k=String(ps.step);byStep[k]=byStep[k]??{n:0,changed:0};byStep[k].n++;byStep[k].changed+=c?1:0;}out.refs[ref]={changed,total:prestates.length,byStep};}\nconsole.log(JSON.stringify(out,null,2));",[18,171],"9fbfe6ae-88cf-4895-8f40-f93511b9967d",["D",1789011109169],"import { runAutolabJob,AUTOLAB_CORE_VERSION } from '../lib/kag_autolab_core.ts';\nconst r=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'broker_bea.py',seeds:[106601],legalTelemetry:'FULL',oracleActionTelemetry:'NONE'});\nconsole.log(JSON.stringify({core:AUTOLAB_CORE_VERSION,summary:{episodes:r.episodes,wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin},games:r.games.map((g:any)=>({seed:g.seed,seat:g.ourSeat,ourBank:g.ourBank,refBank:g.refBank,margin:g.margin,winner:g.winner,errors:g.errors,legalTraceLength:g.legalTrace?.length??null,selfActionTraceLength:g.selfActionTrace?.length??null}))},null,2));",[18,177],"6879a63b-74e0-4263-a52c-494b8feec07b",["D",1789011109169],"import {unzipSync,strFromU8} from 'npm:fflate';import {loadPyodide} from 'npm:pyodide';import {loadOfficialKaggricultureEngine,observationFor} from '../lib/kaggriculture_engine_loader.ts';\nconst REFS=['broker_bea.py','rancher_rita.py','ledger_lena.py','slotter_silas.py','closer_cleo.py','rotation_rosa.py','homestead_hana.py','melon_mateo.py'];const ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];const SEEDS=[107301,107313,107327];const TARGET_STEPS=new Set([0,57,144,289,433,577]);\nconst E=await loadOfficialKaggricultureEngine();const rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer())),py=await loadPyodide();py.runPython(`import json\\n_SRC={}\\n_R0={}\\n_R1={}`);for(const n of REFS){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}py.runPython(`def _mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\ndef reset_baseline():\\n global _R0,_R1\\n _R0=_mk('rancher_rita.py');_R1=_mk('rancher_rita.py')\\ndef call_base(seat,p): return json.dumps((_R0 if seat==0 else _R1)['agent'](json.loads(p)))\\ndef call_fresh(n,p):\\n d=_mk(n)\\n return json.dumps(d['agent'](json.loads(p)))`);const reset=py.globals.get('reset_baseline'),base=py.globals.get('call_base'),fresh=py.globals.get('call_fresh');\nconst prestates:any[]=[];for(const seed of SEEDS){reset();const cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);while(!s.done){const a0=JSON.parse(String(base(0,JSON.stringify(observationFor(s,0))))),a1=JSON.parse(String(base(1,JSON.stringify(observationFor(s,1)))));if(TARGET_STEPS.has(Number(s.step)))prestates.push({seed,step:Number(s.step),obs:observationFor(s,1)});s=E.interpreter.step(s,[a0,a1],cfg)}}\nconst refs:any={};for(const ref of REFS){const perItem:any={};for(const item of ITEMS){let responsive=0,lowHigh=0;const byStep:any={};for(const ps of prestates){const actual=Number(ps.obs.market?.prices?.[item]??0);if(actual<=0)continue;const levels=Array.from(new Set([Math.max(1,Math.round(actual*0.5)),actual,Math.max(1,Math.round(actual*2))]));const acts=levels.map((p:number)=>{const o=structuredClone(ps.obs);o.market.prices[item]=p;return JSON.stringify(JSON.parse(String(fresh(ref,JSON.stringify(o)))))});const diff=new Set(acts).size>1;responsive+=diff?1:0;lowHigh+=acts[0]!==acts[acts.length-1]?1:0;const k=String(ps.step);byStep[k]??={n:0,responsive:0};byStep[k].n++;byStep[k].responsive+=diff?1:0;}perItem[item]={n:prestates.length,responsivePrestates:responsive,lowHigh,byStep};}refs[ref]=perItem;}\nconst compact:any={};for(const [ref,items] of Object.entries(refs) as any){compact[ref]={};for(const [item,v] of Object.entries(items) as any)compact[ref][item]={responsivePrestates:v.responsivePrestates,lowHigh:v.lowHigh};}console.log(JSON.stringify({schema:'KAG_FIXED_PRESTATE_MARKET_PRICE_SCAN_V1_COMPACT',evidence_state:'OFFLINE_BLACKBOX_SHARED_MARKET_SINGLE_ITEM_PRICE_INTERVENTIONS',seeds:SEEDS,prestates:prestates.length,refs:compact,guardrails:['one item price changed at a time','same prestates across refs','market sensitivity != direct reaction to us','action-level only','raw action offline treatment-fired label only']},null,2));",[18,183],"e7773a96-560f-47e4-9e3a-218ff3e5a3e4",["D",1789011109169],"import { unzipSync,strFromU8 } from 'npm:fflate';import {loadPyodide} from 'npm:pyodide';import {loadOfficialKaggricultureEngine,observationFor} from '../lib/kaggriculture_engine_loader.ts';\nconst E=await loadOfficialKaggricultureEngine(),seed=106801,cfg=E.state.resolveConfig({seed});const r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer())),py=await loadPyodide();py.globals.set('src',strFromU8(z['rancher_rita.py']));py.runPython(`import json\\ndef mk():\\n d={}\\n exec(src,d)\\n return d\\na=mk();b=mk()\\ndef c(seat,p): return json.dumps((a if seat==0 else b)['agent'](json.loads(p)))`);const c=py.globals.get('c');let s=E.state.initGameState(2,cfg,seed);const target=new Set([0,57,144,289,433,577]),rows:any[]=[];while(!s.done){if(target.has(Number(s.step))){const f=observationFor(s,1).farms?.[0]??{};rows.push({step:s.step,day:s.day,hour:s.hour,money:f.money,unlocked_quadrants:f.unlocked_quadrants,hands:f.hands,hires_today:f.hires_today});}const a0=JSON.parse(String(c(0,JSON.stringify(observationFor(s,0))))),a1=JSON.parse(String(c(1,JSON.stringify(observationFor(s,1)))));s=E.interpreter.step(s,[a0,a1],cfg)}console.log(JSON.stringify({schema:'KAG_PUBLIC_CAPACITY_SHAPE_V2_TIMELINE',seed,rows},null,2));",[18,189],"5ddfe497-54dd-4443-a3ba-c53706262224",["D",1789011109169],"import { loadOfficialKaggricultureEngine,observationFor } from '../lib/kaggriculture_engine_loader.ts';\nconst E=await loadOfficialKaggricultureEngine();const seed=106801,cfg=E.state.resolveConfig({seed});let s=E.state.initGameState(2,cfg,seed);const o=observationFor(s,1);const f=o.farms?.[0]??{};const picked:any={farmKeys:Object.keys(f),money:f.money,unlocked_quadrants:f.unlocked_quadrants,hands:f.hands,workers:f.workers,labor:f.labor,capacity:f.capacity,tilesShape:Array.isArray(f.tiles)?{rows:f.tiles.length,row0:Array.isArray(f.tiles[0])?f.tiles[0].length:null}:typeof f.tiles};console.log(JSON.stringify({schema:'KAG_PUBLIC_CAPACITY_SHAPE_V1',seed,step:s.step,day:s.day,hour:s.hour,picked},null,2));",[18,195],"a9e8897d-c50f-485f-9e91-44826d055c55",["D",1789011109169],"import { ensureRuntime } from '../lib/kag_autolab_core.ts';\nconst R:any=await ensureRuntime();\nconsole.log(String(R.py.runPython(\"import json; json.dumps(_BASE, sort_keys=True)\")));\n",[18,201],"4e12d853-f5e4-4acd-b0c6-672f5398c3d3",["D",1789011109169],"import { unzipSync,strFromU8 } from 'npm:fflate';\nconst r=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!r.ok)throw new Error(`HTTP ${r.status}`);const z=unzipSync(new Uint8Array(await r.arrayBuffer()));const src=strFromU8(z['closer_cleo.py']);const lines=src.split(/\\r?\\n/);const top=lines.map((x,i)=>({i:i+1,x})).filter(o=>o.x.trim()&&!/^\\s/.test(o.x)&&!o.x.trim().startsWith('#'));const globals=lines.map((x,i)=>({i:i+1,x})).filter(o=>/\\bglobal\\b|\\bnonlocal\\b/.test(o.x));const mut=top.filter(o=>/^[A-Za-z_][A-Za-z0-9_]*\\s*=/.test(o.x)&&!/^def\\s|^class\\s/.test(o.x));console.log(JSON.stringify({schema:'CLEO_SOURCE_STATEFULNESS_SCAN_V1',source_ground_truth_only:true,lineCount:lines.length,globalKeywords:globals.slice(0,30),topLevelAssignments:mut.slice(0,50),topLevelDefs:top.filter(o=>/^(def|class)\\s/.test(o.x)).slice(0,50)},null,2));",[18,207],"08937a3d-8c9e-42af-b652-0d1c11f61106",["D",1789011109169],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from '../lib/kaggriculture_engine_loader.ts';\n\nconst SEED=107401;\nconst TARGETS=[0,144,288,432,576];\nconst CASH=[199,200,1000,10000];\nconst E=await loadOfficialKaggricultureEngine();\nconst rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();py.runPython(`import json\\n_SRC={}`);\nfor(const n of ['closer_cleo.py','rotation_rosa.py']){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}\npy.runPython(`\ndef mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\n_BASE_C=mk('closer_cleo.py')\\n_BASE_R=mk('rotation_rosa.py')\\ndef base(n,p):\\n d=_BASE_C if n=='closer_cleo.py' else _BASE_R\\n return json.dumps(d['agent'](json.loads(p)))\\ndef replay_branch(hist_json,final_json):\\n d=mk('closer_cleo.py')\\n for p in json.loads(hist_json): d['agent'](p)\\n return json.dumps(d['agent'](json.loads(final_json)))`);\nconst base=py.globals.get('base'),branch=py.globals.get('replay_branch');\nconst cfg=E.state.resolveConfig({seed:SEED});let s=E.state.initGameState(2,cfg,SEED);const hist:any[]=[];const captured:any={};\nwhile(!s.done){const o0=observationFor(s,0),o1=observationFor(s,1);if(TARGETS.includes(Number(s.step)))captured[Number(s.step)]={obs:structuredClone(o0),hist:[...hist]};const a0=JSON.parse(String(base('closer_cleo.py',JSON.stringify(o0)))),a1=JSON.parse(String(base('rotation_rosa.py',JSON.stringify(o1))));hist.push(o0);s=E.interpreter.step(s,[a0,a1],cfg)}\nfunction marketSummary(a:any){return (a?.market??[]).map((m:any)=>Array.isArray(m)?[String(m[0]??''),String(m[1]??''),Number(m[2]??0)]:m)}\nconst rows:any[]=[];for(const step of TARGETS){const c=captured[step];if(!c){rows.push({step,error:'NOT_CAPTURED'});continue;}const by:any={};for(const cash of CASH){const o=structuredClone(c.obs);o.farms[1].money=cash;const a=JSON.parse(String(branch(JSON.stringify(c.hist),JSON.stringify(o))));by[cash]={market:marketSummary(a),farmer:a?.farmer??null,handsCount:Array.isArray(a?.hands)?a.hands.length:0,sig:JSON.stringify(a)}}const changed199200=by[199].sig!==by[200].sig;const distinct=new Set(CASH.map(x=>by[x].sig)).size;rows.push({step,day:Number(c.obs.day),hour:Number(c.obs.hour),actualOpponentCash:Number(c.obs.farms?.[1]?.money??0),changed199200,distinctAcrossCash:distinct,market199:by[199].market,market200:by[200].market,market1000:by[1000].market,market10000:by[10000].market})}\nconsole.log(JSON.stringify({schema:'KAG_CLEO_FIXED_HISTORY_CASH_V1',evidence_state:'OFFLINE_BLACKBOX_HISTORY_REPLAY_FIXED_PRESTATE_TREATMENT_FIRED',seed:SEED,targets:TARGETS,cashLevels:CASH,summary:{changed199200:rows.filter((r:any)=>r.changed199200).length,anyCashSensitive:rows.filter((r:any)=>r.distinctAcrossCash>1).length},rows:rows.map((r:any)=>({step:r.step,day:r.day,hour:r.hour,actualOpponentCash:r.actualOpponentCash,changed199200:r.changed199200,distinctAcrossCash:r.distinctAcrossCash}))},null,2));",[18,213],"c8aa045c-7265-45be-a69c-ecd80679d192",["D",1789011109169],"import { unzipSync,strFromU8 } from 'npm:fflate';\nimport { loadPyodide } from 'npm:pyodide';\nimport { loadOfficialKaggricultureEngine,observationFor } from '../lib/kaggriculture_engine_loader.ts';\n\nconst SEED=107411, MAX_CAND=10;\nconst E=await loadOfficialKaggricultureEngine();\nconst rr=await fetch('https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents');if(!rr.ok)throw new Error(`HTTP ${rr.status}`);const z=unzipSync(new Uint8Array(await rr.arrayBuffer()));\nconst py=await loadPyodide();py.runPython(`import json\\n_SRC={}`);for(const n of ['closer_cleo.py','rotation_rosa.py']){py.globals.set('nm',n);py.globals.set('src',strFromU8(z[n]));py.runPython(`_SRC[nm]=src`)}\npy.runPython(`\ndef mk(n):\\n d={}\\n exec(_SRC[n],d)\\n return d\\n_BASE_C=mk('closer_cleo.py')\\n_BASE_R=mk('rotation_rosa.py')\\ndef base(n,p):\\n d=_BASE_C if n=='closer_cleo.py' else _BASE_R\\n return json.dumps(d['agent'](json.loads(p)))\\ndef replay_branch(hist_json,final_json):\\n d=mk('closer_cleo.py')\\n for p in json.loads(hist_json): d['agent'](p)\\n return json.dumps(d['agent'](json.loads(final_json)))`);\nconst base=py.globals.get('base'),branch=py.globals.get('replay_branch');\nfunction sells(a:any){return (a?.market??[]).filter((m:any)=>Array.isArray(m)&&String(m[0])==='SELL').map((m:any)=>String(m[1]))}\nfunction pub(f:any){return{cash:Number(f?.money??0),land:(f?.unlocked_quadrants??[]).length}}\nfunction consequence(state:any,cfg:any,cleoAct:any,rosaAct:any){try{const n=E.interpreter.step(structuredClone(state),[cleoAct,rosaAct],cfg);return{valid:true,cleo:pub(n.farms[0]),rosa:pub(n.farms[1]),wheatPrice:Number(n.market.prices.WHEAT),wheatInv:Number(n.market.inventory.WHEAT)}}catch(e){return{valid:false,error:String((e as any)?.message??e)}}}\nconst cfg=E.state.resolveConfig({seed:SEED});let s=E.state.initGameState(2,cfg,SEED);const hist:any[]=[],cand:any[]=[];\nwhile(!s.done){const o0=observationFor(s,0),o1=observationFor(s,1);const a0=JSON.parse(String(base('closer_cleo.py',JSON.stringify(o0)))),a1=JSON.parse(String(base('rotation_rosa.py',JSON.stringify(o1))));const ss=sells(a0);if(cand.length=2)cand.push({step:Number(s.step),day:Number(s.day),hour:Number(s.hour),state:structuredClone(s),obs:structuredClone(o0),hist:[...hist],rosaAct:structuredClone(a1),baselineSells:ss});hist.push(o0);s=E.interpreter.step(s,[a0,a1],cfg)}\nconst rows:any[]=[];for(const c of cand){const lo=structuredClone(c.obs),hi=structuredClone(c.obs);lo.farms[1].money=199;hi.farms[1].money=200;const aLo=JSON.parse(String(branch(JSON.stringify(c.hist),JSON.stringify(lo)))),aHi=JSON.parse(String(branch(JSON.stringify(c.hist),JSON.stringify(hi))));const changed=JSON.stringify(aLo)!==JSON.stringify(aHi);const nextLo=consequence(c.state,cfg,aLo,c.rosaAct),nextHi=consequence(c.state,cfg,aHi,c.rosaAct);const effect=changed&&nextLo.valid&&nextHi.valid?{cleoCash:Number(nextHi.cleo.cash)-Number(nextLo.cleo.cash),rosaCash:Number(nextHi.rosa.cash)-Number(nextLo.rosa.cash),wheatPrice:Number(nextHi.wheatPrice)-Number(nextLo.wheatPrice),wheatInv:Number(nextHi.wheatInv)-Number(nextLo.wheatInv)}:null;const price=Math.max(1,Number(c.state.market.prices.WHEAT)||1),q=Math.max(0,Math.min(5,Math.floor(Number(c.state.farms[1].money)/price)));let contentionEffect:any=null;if(changed&&q>0){const buy={farmer:['PASS'],hands:[],market:[['BUY_PRODUCT','WHEAT',q]]};const cl=consequence(c.state,cfg,aLo,buy),ch=consequence(c.state,cfg,aHi,buy);if(cl.valid&&ch.valid)contentionEffect={q,cleoCash:Number(ch.cleo.cash)-Number(cl.cleo.cash),buyerCash:Number(ch.rosa.cash)-Number(cl.rosa.cash),wheatPrice:Number(ch.wheatPrice)-Number(cl.wheatPrice),wheatInv:Number(ch.wheatInv)-Number(cl.wheatInv)}}rows.push({step:c.step,day:c.day,hour:c.hour,baselineSells:c.baselineSells,changed199200:changed,lowSells:sells(aLo),highSells:sells(aHi),effect,contentionEffect})}\nconsole.log(JSON.stringify({schema:'KAG_CLEO_CASH_SELLSLOT_FIXEDHISTORY_V2',evidence_state:'OFFLINE_BLACKBOX_HISTORY_REPLAY_FIXED_PRESTATE_CAUSAL_SCREEN',seed:SEED,candidates:cand.length,changed:rows.filter((r:any)=>r.changed199200).length,nonzeroPublicEffect:rows.filter((r:any)=>r.effect&&Object.values(r.effect).some((x:any)=>Number(x)!==0)).length,rows},null,2));",[18,219],"705857bd-2f41-45bb-8f12-2143748da65b",["D",1789011109169],"import { blob } from 'https://esm.town/v/std/blob/main.ts';\nconst keys={\n CB:'artifacts/kaggriculture/autolab/20260908T072754Z_B54-V24-CONTROL-BROKER.json',\n TB:'artifacts/kaggriculture/autolab/20260908T072800Z_B54-V24-STAGED-BROKER.json',\n CR:'artifacts/kaggriculture/autolab/20260908T072816Z_B54-V24-CONTROL-RITA.json',\n TR:'artifacts/kaggriculture/autolab/20260908T072822Z_B54-V24-STAGED-RITA.json',\n};\nasync function load(k:string){const r=await blob.get(k);return JSON.parse(await r.text())}\nfunction key(g:any){return `${g.seed}|${g.ourSeat}`}\nfunction lm(g:any,d:number){return g.timeline?.find((x:any)=>x.day===d)}\nfunction pair(c:any,t:any){const cm=new Map(c.result.games.map((g:any)=>[key(g),g]));return t.result.games.map((g:any)=>{const b:any=cm.get(key(g));const traj:any={};for(const d of [6,9,12,15,18,21,24,27,29]){const bc=lm(b,d),tt=lm(g,d);traj[d]={controlGap:bc?bc.ours.cash-bc.ref.cash:null,treatGap:tt?tt.ours.cash-tt.ref.cash:null,delta:bc&&tt?(tt.ours.cash-tt.ref.cash)-(bc.ours.cash-bc.ref.cash):null,treatMix:tt?.ours?.cropMix??null,controlMix:bc?.ours?.cropMix??null};}return{seed:g.seed,seat:g.ourSeat,controlMargin:b.margin,treatMargin:g.margin,delta:g.margin-b.margin,controlWinner:b.winner,treatWinner:g.winner,errors:g.errors,calls:g.stagedPortfolioCalls??0,traj};})}\nconst d:any={};for(const [n,k] of Object.entries(keys))d[n]=await load(k);\nfunction summary(rows:any[]){const ds=rows.map(r=>r.delta);return{n:rows.length,positive:ds.filter(x=>x>0).length,negative:ds.filter(x=>x<0).length,zero:ds.filter(x=>x===0).length,meanDelta:ds.reduce((a,b)=>a+b,0)/ds.length,minDelta:Math.min(...ds),maxDelta:Math.max(...ds),calls:[...new Set(rows.map(r=>r.calls))],stageMix: Object.fromEntries([6,9,12,15].map(day=>[day,rows.map(r=>r.traj[day].treatMix)]))}}\nconst broker=pair(d.CB,d.TB),rita=pair(d.CR,d.TR);\nfunction dayDelta(rows:any[],day:number){const a=rows.map(r=>r.traj[day].delta).filter((x:any)=>x!==null);return{mean:a.reduce((s:number,x:number)=>s+x,0)/a.length,positive:a.filter((x:number)=>x>0).length,negative:a.filter((x:number)=>x<0).length,min:Math.min(...a),max:Math.max(...a)}}\nconst out={broker:{aggregate:{control:{wl:[d.CB.result.wins,d.CB.result.losses,d.CB.result.ties],avgMargin:d.CB.result.avgMargin},treat:{wl:[d.TB.result.wins,d.TB.result.losses,d.TB.result.ties],avgMargin:d.TB.result.avgMargin}},paired:summary(broker),landmarkGapDelta:Object.fromEntries([6,9,12,15,18,21,24,27,29].map(x=>[x,dayDelta(broker,x)])),terminalDeltas:broker.map(r=>({seed:r.seed,seat:r.seat,delta:r.delta}))},rita:{aggregate:{control:{wl:[d.CR.result.wins,d.CR.result.losses,d.CR.result.ties],avgMargin:d.CR.result.avgMargin},treat:{wl:[d.TR.result.wins,d.TR.result.losses,d.TR.result.ties],avgMargin:d.TR.result.avgMargin}},paired:summary(rita),landmarkGapDelta:Object.fromEntries([6,9,12,15,18,21,24,27,29].map(x=>[x,dayDelta(rita,x)])),terminalDeltas:rita.map(r=>({seed:r.seed,seat:r.seat,delta:r.delta}))}};\nconsole.log(JSON.stringify(out,null,2));\n",[18,225],"caa8858b-173f-4351-bd3b-6e0611353f58",["D",1789011109169],"import { blob } from 'https://esm.town/v/std/blob/main.ts';\n\nconst jobs = {\n BROKER: 'artifacts/kaggriculture/autolab/20260908T063009Z_B53-V23-FRESH-CAPACITY-BROKER.json',\n LENA: 'artifacts/kaggriculture/autolab/20260908T063016Z_B53-V23-FRESH-CAPACITY-LENA.json',\n SILAS: 'artifacts/kaggriculture/autolab/20260908T064516Z_B53-V23-FRESH-CAPACITY-SILAS.json',\n CLEO: 'artifacts/kaggriculture/autolab/20260908T064522Z_B53-V23-FRESH-CAPACITY-CLEO.json',\n RITA: 'artifacts/kaggriculture/autolab/20260908T070051Z_B53-V23-FRESH-CAPACITY-RITA.json',\n} as const;\nconst days=[3,6,9,12] as const;\nconst mixKeys=['WHEAT','MELON','STRAWBERRY','CARROT','TOMATO'] as const;\nconst animalKeys=['COW','SHEEP'] as const;\nfunction add(a:any,b:any){for(const k of Object.keys(b||{})) a[k]=(a[k]||0)+(Number(b[k])||0);}\nfunction avgObj(o:any,n:number){const r:any={};for(const [k,v] of Object.entries(o))r[k]=Number(v)/n;return r;}\nasync function load(key:string){const r=await blob.get(key); return JSON.parse(await r.text())}\n\nasync function main(){\n const out:any={schema:'B53_CAPACITY_RECONCILE_V1',days,agents:{},exactTopTrioEqualityByEpisode:{}};\n const raw:any={};\n for(const [name,key] of Object.entries(jobs)){\n const w=await load(key); raw[name]=w;\n const games=w.result.games;\n const ag:any={episodes:games.length,wl:{wins:w.result.wins,losses:w.result.losses,ties:w.result.ties,avgMargin:w.result.avgMargin},landmarks:{}};\n for(const d of days){\n let n=0; const sums:any={cash:0,land:0,crops:0,pastures:0,animals:0,cropMix:{},animalMix:{}};\n const ours:any={cash:0,land:0,crops:0,pastures:0,animals:0,cropMix:{},animalMix:{}};\n const rows:any[]=[];\n for(const g of games){const t=g.timeline.find((x:any)=>x.day===d); if(!t) continue;n++; for(const k of ['cash','land','crops','pastures','animals']){sums[k]+=Number(t.ref[k]||0);ours[k]+=Number(t.ours[k]||0);}add(sums.cropMix,t.ref.cropMix);add(sums.animalMix,t.ref.animalMix);add(ours.cropMix,t.ours.cropMix);add(ours.animalMix,t.ours.animalMix);rows.push({seed:g.seed,seat:g.ourSeat,ref:t.ref,ours:t.ours});}\n ag.landmarks[d]={n,ref:{cash:sums.cash/n,land:sums.land/n,crops:sums.crops/n,pastures:sums.pastures/n,animals:sums.animals/n,cropMix:avgObj(sums.cropMix,n),animalMix:avgObj(sums.animalMix,n)},ours:{cash:ours.cash/n,land:ours.land/n,crops:ours.crops/n,pastures:ours.pastures/n,animals:ours.animals/n,cropMix:avgObj(ours.cropMix,n),animalMix:avgObj(ours.animalMix,n)}};\n }\n out.agents[name]=ag;\n }\n for(const d of days){\n const trio=['BROKER','LENA','SILAS']; let equal=0,total=0; const diffs:any[]=[];\n const gb=raw.BROKER.result.games, gl=raw.LENA.result.games, gs=raw.SILAS.result.games;\n for(let i=0;ix.day===d)?.ref, tl=gl[i].timeline.find((x:any)=>x.day===d)?.ref, ts=gs[i].timeline.find((x:any)=>x.day===d)?.ref; if(!tb||!tl||!ts)continue;total++;\n const proj=(x:any)=>({cash:x.cash,land:x.land,crops:x.crops,pastures:x.pastures,animals:x.animals,cropMix:x.cropMix,animalMix:x.animalMix});\n const sb=JSON.stringify(proj(tb)), sl=JSON.stringify(proj(tl)), ss=JSON.stringify(proj(ts)); if(sb===sl&&sb===ss)equal++; else diffs.push({seed:gb[i].seed,seat:gb[i].ourSeat,broker:proj(tb),lena:proj(tl),silas:proj(ts)});\n }\n out.exactTopTrioEqualityByEpisode[d]={equal,total,diffs};\n }\n const compact:any={agents:{},exactTopTrioEqualityByEpisode:out.exactTopTrioEqualityByEpisode}; for(const [n,a] of Object.entries(out.agents) as any){compact.agents[n]={wl:a.wl,landmarks:{}};for(const d of days){compact.agents[n].landmarks[d]=a.landmarks[d].ref;}} console.log(JSON.stringify(compact,null,2)); return compact;\n}\n\nawait main();",[18,231],"9d3158e3-551f-4c77-aafd-5efc2c19a044",["D",1789011109169],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\nconst JOBS=['B43-V23-FAMILY-BROKER','B43-V23-FAMILY-RITA','B43-V23-FAMILY-LENA','B43-V23-FAMILY-SILAS','B43-V23-FAMILY-CLEO'];\nconst ITEMS=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];\nfunction rel(a:number,b:number){return Math.abs(b-a)/Math.max(1,Math.abs(a));}\nfunction marketMove(a:any,b:any){return ITEMS.reduce((s,k)=>s+rel(Number(a?.market?.prices?.[k]??0),Number(b?.market?.prices?.[k]??0)),0)/ITEMS.length;}\nfunction oppResponse(a:any,b:any){return Math.abs(Number(b.opp.cash)-Number(a.opp.cash))/1000+2*Math.abs(Number(b.opp.land)-Number(a.opp.land))+0.25*Math.abs(Number(b.opp.crops)-Number(a.opp.crops))+0.5*Math.abs(Number(b.opp.animals)-Number(a.opp.animals));}\nfunction flowMag(x:any){return Object.values(x?.marketFlow??{}).reduce((s:number,v:any)=>s+Math.abs(Number(v)||0),0);}\nfunction stats(xs:number[]){return xs.length?{n:xs.length,mean:xs.reduce((a,b)=>a+b,0)/xs.length}:{n:0,mean:null};}\nconst out:any={schema:'KAG_V23_SELF_NORMALIZED_REACTION_V1',evidence_state:'LEGAL_OBSERVATIONAL_SELF_ACTION_FILTERED_NOT_CAUSAL',jobs:{}};\nfor(const job of JOBS){const q=await sqlite.execute({sql:`SELECT artifact_key FROM kag_autolab_artifacts WHERE job_id=? ORDER BY created_at DESC LIMIT 1`,args:[job]});const key=String(q.rows?.[0]?.artifact_key??'');if(!key){out.jobs[job]={error:'NO_ARTIFACT'};continue;}const raw=await blob.get(key);const txt=typeof raw==='string'?raw:await (raw as Blob).text();const w=JSON.parse(txt),games=w.result?.games??[];const buckets:any={all:{event:[],control:[]},selfSilent:{event:[],control:[]},selfSilentLowMarket:{event:[],control:[]}};let aligned=0;for(const g of games){const tr=g.legalTrace??[],sa=g.selfActionTrace??[];if(tr.length!==sa.length)continue;aligned++;for(let i=1;i+1=500,r=oppResponse(c,n),silent=flowMag(sa[i])===0,low=marketMove(c,n)<0.03;(isEvent?buckets.all.event:buckets.all.control).push(r);if(silent)(isEvent?buckets.selfSilent.event:buckets.selfSilent.control).push(r);if(silent&&low)(isEvent?buckets.selfSilentLowMarket.event:buckets.selfSilentLowMarket.control).push(r);}}const s:any={artifact_key:key,games:games.length,alignedGames:aligned};for(const [name,b] of Object.entries(buckets) as any){const e=stats(b.event),c=stats(b.control);s[name]={event:e,control:c,lift:e.mean==null||c.mean==null?null:e.mean-c.mean};}out.jobs[job]=s;}\nconsole.log(JSON.stringify(out,null,2));",[18,237],"749efca2-0fae-4467-9901-394a3d8a5c6b",["D",1789011109169],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\nconst JOBS=['B48-V23-OOD-M60-LENA','B48-V23-OOD-M60-SILAS'];\nfunction oppResponse(a:any,b:any){return Math.abs(Number(b.opp.cash)-Number(a.opp.cash))/1000+2*Math.abs(Number(b.opp.land)-Number(a.opp.land))+0.25*Math.abs(Number(b.opp.crops)-Number(a.opp.crops))+0.5*Math.abs(Number(b.opp.animals)-Number(a.opp.animals));}\nfunction flowMag(x:any){return Object.values(x?.marketFlow??{}).reduce((s:number,v:any)=>s+Math.abs(Number(v)||0),0);}\nfunction stat(a:number[],b:number[]){const ma=a.length?a.reduce((x,y)=>x+y,0)/a.length:null,mb=b.length?b.reduce((x,y)=>x+y,0)/b.length:null;return{eventN:a.length,controlN:b.length,eventMean:ma,controlMean:mb,lift:ma==null||mb==null?null:ma-mb};}\nconst out:any={schema:'KAG_V23_CASH_EVENT_LAG_V1',evidence_state:'LEGAL_OBSERVATIONAL_LAG_SIGNATURE_NOT_CAUSAL',jobs:{}};\nfor(const job of JOBS){const q=await sqlite.execute({sql:`SELECT artifact_key FROM kag_autolab_artifacts WHERE job_id=? ORDER BY created_at DESC LIMIT 1`,args:[job]});const key=String(q.rows?.[0]?.artifact_key??'');const raw=await blob.get(key);const txt=typeof raw==='string'?raw:await (raw as Blob).text();const w=JSON.parse(txt),games=w.result?.games??[];const lag:any={};for(let j=0;j<=6;j++)lag[j]={e:[],c:[]};for(const g of games){const tr=g.legalTrace??[],sa=g.selfActionTrace??[];if(tr.length!==sa.length)continue;for(let i=1;i+7=500;for(let j=0;j<=6;j++){const k=i+j;if(flowMag(sa[k])!==0)continue;const r=oppResponse(tr[k],tr[k+1]);(event?lag[j].e:lag[j].c).push(r);}}}out.jobs[job]={artifact_key:key,lags:Object.fromEntries(Object.entries(lag).map(([k,v]:any)=>[k,stat(v.e,v.c)]))};}\nconsole.log(JSON.stringify(out,null,2));",[18,243],"6c9508fe-b019-4dc1-a470-0377658aef42",["D",1789011109169],"import { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst keys={broker:\"artifacts/kaggriculture/autolab/20260908T023625Z_OUR-MIX11-BROKER-LEGAL-B36.json\",lena:\"artifacts/kaggriculture/autolab/20260908T023632Z_OUR-MIX11-LENA-LEGAL-B36.json\",silas:\"artifacts/kaggriculture/autolab/20260908T023824Z_OUR-MIX11-SILAS-LEGAL-B37.json\",cleo:\"artifacts/kaggriculture/autolab/20260908T023831Z_OUR-MIX11-CLEO-LEGAL-B37.json\"};\nconst data:any={}; for(const [k,v] of Object.entries(keys)) data[k]=await blob.getJSON(v);\nconst pub=(t:any)=>({opp:t.opp,market:t.market,shops:t.shops});\nfunction paths(a:any,b:any,p=\"\"):string[]{const out:string[]=[]; const ks=new Set([...Object.keys(a??{}),...Object.keys(b??{})]);for(const k of ks){const x=a?.[k],y=b?.[k],q=p?`${p}.${k}`:k;if(x&&y&&typeof x===\"object\"&&typeof y===\"object\"&&!Array.isArray(x)&&!Array.isArray(y))out.push(...paths(x,y,q));else if(JSON.stringify(x)!==JSON.stringify(y))out.push(q);}return out;}\nfunction firstDiff(a:string,b:string){const rows=[];for(let i=0;i<8;i++){const A=data[a].result.games[i].legalTrace,B=data[b].result.games[i].legalTrace;let s=-1;for(let j=0;j=0?paths(pub(A[s]),pub(B[s])):[];rows.push({seed:data[a].result.games[i].seed,seat:data[a].result.games[i].ourSeat,step:s,day:s>=0?A[s].day:null,hour:s>=0?A[s].hour:null,diffs:dif.slice(0,12)});}return rows;}\nconst pairs:any={}; for(const [a,b] of [[\"cleo\",\"silas\"],[\"silas\",\"lena\"],[\"lena\",\"broker\"],[\"cleo\",\"broker\"]]) pairs[`${a}-${b}`]=firstDiff(a,b);\nconst days=[3,6,9,12,15,18,21,24,27,29]; const footprint:any={};\nfor(const name of Object.keys(data)){footprint[name]={}; for(const d of days){let n=0,s={cash:0,land:0,crops:0,pastures:0,animals:0,straw:0,wheat:0,melon:0};for(const g of data[name].result.games){const t=g.timeline.find((x:any)=>x.day===d); if(!t)continue;n++;const o=t.ref;s.cash+=o.cash;s.land+=o.land;s.crops+=o.crops;s.pastures+=o.pastures;s.animals+=o.animals;s.straw+=o.cropMix?.STRAWBERRY??0;s.wheat+=o.cropMix?.WHEAT??0;s.melon+=o.cropMix?.MELON??0;}footprint[name][d]=Object.fromEntries(Object.entries(s).map(([k,v]:any)=>[k,+(v/n).toFixed(2)]));}}\nconsole.log(JSON.stringify({margins:Object.fromEntries(Object.entries(data).map(([k,v]:any)=>[k,v.result.avgMargin])),pairs,footprint}));",[18,249],"996646d9-4fb6-4f6c-a0fa-63233805d930",["D",1789011109169],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\nconst JOBS=['B58-V25-PATH-LENA','B58-V25-PATH-SILAS'];\nfunction oppResponse(a:any,b:any){return Math.abs(Number(b.opp.cash)-Number(a.opp.cash))/1000+2*Math.abs(Number(b.opp.land)-Number(a.opp.land))+0.25*Math.abs(Number(b.opp.crops)-Number(a.opp.crops))+0.5*Math.abs(Number(b.opp.animals)-Number(a.opp.animals));}\nfunction flowMag(x:any){return Object.values(x?.marketFlow??{}).reduce((s:number,v:any)=>s+Math.abs(Number(v)||0),0);}\nfunction stat(a:number[],b:number[]){const ma=a.length?a.reduce((x,y)=>x+y,0)/a.length:null,mb=b.length?b.reduce((x,y)=>x+y,0)/b.length:null;return{eventN:a.length,controlN:b.length,eventMean:ma,controlMean:mb,lift:ma==null||mb==null?null:ma-mb};}\nconst out:any={schema:'KAG_B58_CASH_EVENT_LAG_V1',evidence_state:'LEGAL_OBSERVATIONAL_LAG_SIGNATURE_NOT_CAUSAL',jobs:{}};\nfor(const job of JOBS){const q=await sqlite.execute({sql:`SELECT artifact_key FROM kag_autolab_artifacts WHERE job_id=? AND artifact_key LIKE '%.json' ORDER BY created_at DESC LIMIT 1`,args:[job]});const key=String(q.rows?.[0]?.artifact_key??'');const raw=await blob.get(key);const txt=typeof raw==='string'?raw:await (raw as Blob).text();const w=JSON.parse(txt),games=w.result?.games??[];const lag:any={};for(let j=0;j<=6;j++)lag[j]={e:[],c:[]};for(const g of games){const tr=g.legalTrace??[],sa=g.selfActionTrace??[];if(tr.length!==sa.length)continue;for(let i=1;i+7=500;for(let j=0;j<=6;j++){const k=i+j;if(flowMag(sa[k])!==0)continue;const r=oppResponse(tr[k],tr[k+1]);(event?lag[j].e:lag[j].c).push(r);}}}out.jobs[job]={artifact_key:key,lags:Object.fromEntries(Object.entries(lag).map(([k,v]:any)=>[k,stat(v.e,v.c)]))};}\nconsole.log(JSON.stringify(out,null,2));",[18,255],"0598c853-4f86-40fb-ada4-bed33a59355a",["D",1789011109169],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\nconst JOBS=['B57-V25-PATH-BROKER','B57-V25-PATH-CLEO','B57-V25-PATH-RITA'];\nfunction oppResponse(a:any,b:any){return Math.abs(Number(b.opp.cash)-Number(a.opp.cash))/1000+2*Math.abs(Number(b.opp.land)-Number(a.opp.land))+0.25*Math.abs(Number(b.opp.crops)-Number(a.opp.crops))+0.5*Math.abs(Number(b.opp.animals)-Number(a.opp.animals));}\nfunction flowMag(x:any){return Object.values(x?.marketFlow??{}).reduce((s:number,v:any)=>s+Math.abs(Number(v)||0),0);}\nfunction stat(a:number[],b:number[]){const ma=a.length?a.reduce((x,y)=>x+y,0)/a.length:null,mb=b.length?b.reduce((x,y)=>x+y,0)/b.length:null;return{eventN:a.length,controlN:b.length,eventMean:ma,controlMean:mb,lift:ma==null||mb==null?null:ma-mb};}\nconst out:any={schema:'KAG_B57_CASH_EVENT_LAG_V1',evidence_state:'LEGAL_OBSERVATIONAL_LAG_SIGNATURE_NOT_CAUSAL',jobs:{}};\nfor(const job of JOBS){const q=await sqlite.execute({sql:`SELECT artifact_key FROM kag_autolab_artifacts WHERE job_id=? AND artifact_key LIKE '%.json' ORDER BY created_at DESC LIMIT 1`,args:[job]});const key=String(q.rows?.[0]?.artifact_key??'');const raw=await blob.get(key);const txt=typeof raw==='string'?raw:await (raw as Blob).text();const w=JSON.parse(txt),games=w.result?.games??[];const lag:any={};for(let j=0;j<=6;j++)lag[j]={e:[],c:[]};for(const g of games){const tr=g.legalTrace??[],sa=g.selfActionTrace??[];if(tr.length!==sa.length)continue;for(let i=1;i+7=500;for(let j=0;j<=6;j++){const k=i+j;if(flowMag(sa[k])!==0)continue;const r=oppResponse(tr[k],tr[k+1]);(event?lag[j].e:lag[j].c).push(r);}}}out.jobs[job]={artifact_key:key,lags:Object.fromEntries(Object.entries(lag).map(([k,v]:any)=>[k,stat(v.e,v.c)]))};}\nconsole.log(JSON.stringify(out,null,2));",[18,261],"ffb0149b-43f0-42a7-b0b6-2022af88a92b",["D",1789011109169],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\n\nconst jobs=['B42-LEGAL-FAMILY-HELDOUT-BROKER','B42-LEGAL-FAMILY-HELDOUT-RITA','B42-LEGAL-FAMILY-HELDOUT-LENA','B42-LEGAL-FAMILY-HELDOUT-SILAS','B42-LEGAL-FAMILY-HELDOUT-CLEO'];\nfunction rel(a:number,b:number){return Math.abs(b-a)/Math.max(1,Math.abs(a));}\nfunction marketMove(a:any,b:any){const ks=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];return ks.reduce((s,k)=>s+rel(Number(a?.market?.prices?.[k]??0),Number(b?.market?.prices?.[k]??0)),0)/ks.length;}\nfunction oppResponse(a:any,b:any){return Math.abs(Number(b.opp.cash)-Number(a.opp.cash))/1000 + 2*Math.abs(Number(b.opp.land)-Number(a.opp.land)) + 0.25*Math.abs(Number(b.opp.crops)-Number(a.opp.crops)) + 0.5*Math.abs(Number(b.opp.animals)-Number(a.opp.animals));}\nfunction stats(xs:number[]){if(!xs.length)return{n:0,mean:null};const mean=xs.reduce((a,b)=>a+b,0)/xs.length;const variance=xs.length>1?xs.reduce((s,x)=>s+(x-mean)**2,0)/(xs.length-1):0;return{n:xs.length,mean,sd:Math.sqrt(variance)};}\nconst out:any={schema:'KAG_B42_LEGAL_REACTION_CANDIDATES_V1',evidence_state:'OBSERVATIONAL_LEGAL_TRACE_NOT_CAUSAL',jobs:{}};\nfor(const job of jobs){\n const q=await sqlite.execute({sql:`SELECT artifact_key FROM kag_autolab_artifacts WHERE job_id=? AND artifact_type IN ('JSON','JSON_INDEX') ORDER BY created_at DESC LIMIT 1`,args:[job]});\n const key=String(q.rows?.[0]?.artifact_key??''); if(!key){out.jobs[job]={error:'NO_ARTIFACT'};continue;}\n const raw=await blob.get(key); const txt=typeof raw==='string'?raw:await (raw as Blob).text(); const w=JSON.parse(txt); const games=w.result?.games??[];\n const agg:any={cash:{event:[],control:[]},land:{event:[],control:[]},crops:{event:[],control:[]},animals:{event:[],control:[]},lowMarketCash:{event:[],control:[]},lowMarketLand:{event:[],control:[]}};\n for(const g of games){const tr=g.legalTrace??[]; for(let i=1;i+1=500?agg.cash.event:agg.cash.control).push(r);(dl>=1?agg.land.event:agg.land.control).push(r);(dcr>=3?agg.crops.event:agg.crops.control).push(r);(da>=1?agg.animals.event:agg.animals.control).push(r);if(mm<0.03){(dc>=500?agg.lowMarketCash.event:agg.lowMarketCash.control).push(r);(dl>=1?agg.lowMarketLand.event:agg.lowMarketLand.control).push(r);}\n }}\n const summary:any={artifact_key:key,games:games.length};for(const [k,v] of Object.entries(agg) as any){const e=stats(v.event),c=stats(v.control);summary[k]={event:e,control:c,lift:(e.mean==null||c.mean==null)?null:e.mean-c.mean};}out.jobs[job]=summary;\n}\nconst compact:any={schema:out.schema,evidence_state:out.evidence_state,jobs:{}};for(const [k,v] of Object.entries(out.jobs) as any)compact.jobs[k]={games:v.games,cashLift:v.cash?.lift,lowMarketCashLift:v.lowMarketCash?.lift,landLift:v.land?.lift,lowMarketLandLift:v.lowMarketLand?.lift,cashEventN:v.cash?.event?.n,landEventN:v.land?.event?.n};console.log(JSON.stringify(compact,null,2));",[18,267],"5bfc4a75-8b44-4337-a9dd-d8e357d5a6df",["D",1789011109169],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\n\nconst jobs=['B41-LEGAL-FAMILY-BROKER','B41-LEGAL-FAMILY-RITA','B41-LEGAL-FAMILY-LENA','B41-LEGAL-FAMILY-SILAS'];\nfunction rel(a:number,b:number){return Math.abs(b-a)/Math.max(1,Math.abs(a));}\nfunction marketMove(a:any,b:any){const ks=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];return ks.reduce((s,k)=>s+rel(Number(a?.market?.prices?.[k]??0),Number(b?.market?.prices?.[k]??0)),0)/ks.length;}\nfunction oppResponse(a:any,b:any){return Math.abs(Number(b.opp.cash)-Number(a.opp.cash))/1000 + 2*Math.abs(Number(b.opp.land)-Number(a.opp.land)) + 0.25*Math.abs(Number(b.opp.crops)-Number(a.opp.crops)) + 0.5*Math.abs(Number(b.opp.animals)-Number(a.opp.animals));}\nfunction stats(xs:number[]){if(!xs.length)return{n:0,mean:null};const mean=xs.reduce((a,b)=>a+b,0)/xs.length;const variance=xs.length>1?xs.reduce((s,x)=>s+(x-mean)**2,0)/(xs.length-1):0;return{n:xs.length,mean,sd:Math.sqrt(variance)};}\nconst out:any={schema:'KAG_B41_LEGAL_REACTION_CANDIDATES_V1',evidence_state:'OBSERVATIONAL_LEGAL_TRACE_NOT_CAUSAL',jobs:{}};\nfor(const job of jobs){\n const q=await sqlite.execute({sql:`SELECT artifact_key FROM kag_autolab_artifacts WHERE job_id=? AND artifact_type IN ('JSON','JSON_INDEX') ORDER BY created_at DESC LIMIT 1`,args:[job]});\n const key=String(q.rows?.[0]?.artifact_key??''); if(!key){out.jobs[job]={error:'NO_ARTIFACT'};continue;}\n const raw=await blob.get(key); const txt=typeof raw==='string'?raw:await (raw as Blob).text(); const w=JSON.parse(txt); const games=w.result?.games??[];\n const agg:any={cash:{event:[],control:[]},land:{event:[],control:[]},crops:{event:[],control:[]},animals:{event:[],control:[]},lowMarketCash:{event:[],control:[]},lowMarketLand:{event:[],control:[]}};\n for(const g of games){const tr=g.legalTrace??[]; for(let i=1;i+1=500?agg.cash.event:agg.cash.control).push(r);(dl>=1?agg.land.event:agg.land.control).push(r);(dcr>=3?agg.crops.event:agg.crops.control).push(r);(da>=1?agg.animals.event:agg.animals.control).push(r);if(mm<0.03){(dc>=500?agg.lowMarketCash.event:agg.lowMarketCash.control).push(r);(dl>=1?agg.lowMarketLand.event:agg.lowMarketLand.control).push(r);}\n }}\n const summary:any={artifact_key:key,games:games.length};for(const [k,v] of Object.entries(agg) as any){const e=stats(v.event),c=stats(v.control);summary[k]={event:e,control:c,lift:(e.mean==null||c.mean==null)?null:e.mean-c.mean};}out.jobs[job]=summary;\n}\nconsole.log(JSON.stringify(out,null,2));",[18,273],"088560ab-e22b-4cbb-add2-f47e6dd30c0a",["D",1789011109169],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\n\nconst jobs=['B42-LEGAL-FAMILY-HELDOUT-BROKER','B42-LEGAL-FAMILY-HELDOUT-RITA','B42-LEGAL-FAMILY-HELDOUT-LENA','B42-LEGAL-FAMILY-HELDOUT-SILAS','B42-LEGAL-FAMILY-HELDOUT-CLEO'];\nfunction rel(a:number,b:number){return Math.abs(b-a)/Math.max(1,Math.abs(a));}\nfunction marketMove(a:any,b:any){const ks=['WHEAT','CARROT','TOMATO','STRAWBERRY','MELON','MILK','WOOL','FERTILIZER'];return ks.reduce((s,k)=>s+rel(Number(a?.market?.prices?.[k]??0),Number(b?.market?.prices?.[k]??0)),0)/ks.length;}\nfunction oppResponse(a:any,b:any){return Math.abs(Number(b.opp.cash)-Number(a.opp.cash))/1000 + 2*Math.abs(Number(b.opp.land)-Number(a.opp.land)) + 0.25*Math.abs(Number(b.opp.crops)-Number(a.opp.crops)) + 0.5*Math.abs(Number(b.opp.animals)-Number(a.opp.animals));}\nfunction stats(xs:number[]){if(!xs.length)return{n:0,mean:null};return{n:xs.length,mean:xs.reduce((a,b)=>a+b,0)/xs.length};}\nconst out:any={schema:'KAG_B39_LEGAL_REACTION_CANDIDATES_V1',evidence_state:'OBSERVATIONAL_LEGAL_TRACE_NOT_CAUSAL',jobs:{}};\nfor(const job of jobs){\n const q=await sqlite.execute({sql:`SELECT artifact_key FROM kag_autolab_artifacts WHERE job_id=? AND artifact_type IN ('JSON','JSON_INDEX') ORDER BY created_at DESC LIMIT 1`,args:[job]});\n const key=String(q.rows?.[0]?.artifact_key??''); if(!key){out.jobs[job]={error:'NO_ARTIFACT'};continue;}\n const raw=await blob.get(key); const txt=typeof raw==='string'?raw:await (raw as Blob).text(); const w=JSON.parse(txt); const games=w.result?.games??[];\n const agg:any={cash:{event:[],control:[]},land:{event:[],control:[]},crops:{event:[],control:[]},animals:{event:[],control:[]},lowMarketCash:{event:[],control:[]},lowMarketLand:{event:[],control:[]}};\n for(const g of games){const tr=g.legalTrace??[]; for(let i=1;i+1=500?agg.cash.event:agg.cash.control).push(r); (dl>=1?agg.land.event:agg.land.control).push(r); (dcr>=3?agg.crops.event:agg.crops.control).push(r); (da>=1?agg.animals.event:agg.animals.control).push(r);\n if(mm<0.03){(dc>=500?agg.lowMarketCash.event:agg.lowMarketCash.control).push(r);(dl>=1?agg.lowMarketLand.event:agg.lowMarketLand.control).push(r);}\n }}\n const summary:any={artifact_key:key,games:games.length}; for(const [k,v] of Object.entries(agg) as any){const e=stats(v.event),c=stats(v.control);summary[k]={event:e,control:c,lift:(e.mean==null||c.mean==null)?null:e.mean-c.mean};} out.jobs[job]=summary;\n}\nconsole.log(JSON.stringify(out,null,2));",[18,279],"652d5615-fe5f-4e17-80c8-0b038260192d",["D",1789011109169],"import { blob } from \"https://esm.town/v/std/blob/main.ts\";\nconst key=\"artifacts/kaggriculture/autolab/20260908T023625Z_OUR-MIX11-BROKER-LEGAL-B36.json\";\nconst b:any=await blob.getJSON(key); const days=[0,3,6,9,12,15,18,21,24,27,29];\nconst out:any=[];\nfor(const d of days){const rows=b.result.games.map((g:any)=>g.timeline.find((x:any)=>x.day===d)).filter(Boolean);const mean=(f:(x:any)=>number)=>rows.reduce((s:number,x:any)=>s+f(x),0)/rows.length; const 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AND status='FAILED'`,args:[job.job_id]});\n const previousFailed=Number(hist.rows?.[0]?.n??0),effectiveAttempt=previousFailed+1,deterministic=deterministicFailure(msg),nextStatus=(deterministic||effectiveAttempt>=maxAttempts)?'FAILED':'READY',fingerprint=(await sha256(msg.split('\\n')[0]??msg)).slice(0,16);\n const evidence=deterministic?'EXECUTION_FAILED_DETERMINISTIC':nextStatus==='FAILED'?'EXECUTION_FAILED_RETRY_EXHAUSTED':'EXECUTION_FAILED_RETRY_PENDING';\n await sqlite.batch([\n {sql:`UPDATE kag_autolab_runs SET status='FAILED',finished_at=CURRENT_TIMESTAMP,duration_ms=?,error_text=?,evidence_state=? WHERE run_id=?`,args:[Date.now()-started,msg,evidence,runId]},\n {sql:`UPDATE kag_autolab_queue SET status=?,attempts=?,run_after=CASE WHEN ?='READY' THEN datetime('now','+15 minutes') ELSE run_after END,updated_at=CURRENT_TIMESTAMP,finished_at=CASE WHEN ?='FAILED' THEN CURRENT_TIMESTAMP ELSE finished_at END,last_error=?,evidence_state=? WHERE job_id=?`,args:[nextStatus,effectiveAttempt,nextStatus,nextStatus,msg,evidence,job.job_id]},\n {sql:`INSERT OR REPLACE INTO kag_autolab_state(state_key,state_json,updated_at) VALUES('last_failure',?,CURRENT_TIMESTAMP)`,args:[JSON.stringify({job_id:job.job_id,run_id:runId,error:msg.slice(0,2000),failure_fingerprint:fingerprint,effective_attempt:effectiveAttempt,max_attempts:maxAttempts,deterministic,next_status:nextStatus})]}\n ]);return{error:msg,nextStatus,effectiveAttempt,maxAttempts,failureFingerprint:fingerprint}\n}\nasync function processOne(job:any){if(!(await claim(job)))return{status:'SKIPPED_CLAIM_RACE',job_id:job.job_id};const runId=crypto.randomUUID(),started=Date.now();await sqlite.execute({sql:`INSERT INTO kag_autolab_runs(run_id,job_id,job_type,status,started_at,worker_version,evidence_state) VALUES(?,?,?,'RUNNING',CURRENT_TIMESTAMP,?,'RUNNING_UNVERIFIED')`,args:[runId,job.job_id,job.job_type,WORKER_VERSION]});try{const result=await 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));",[],[606],"c02cef1f-d94c-4f63-aa35-32e6ae2e375a","official_decision_count_probe_v1.ts","01a0895f-252a-76fd-8ae5-863e82d87467",["D",1789011109169],"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));",[],[613],"e827d9f6-ed6e-487b-b087-923a74031922","milk_mix_d6_gate_v2.ts","d2de85d8-acc8-11f1-ab83-1607ee4eb77e",12,["D",1789011395625],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[113071,113083,113099,113111];\nconst variants=['MIX11','MILK_MIX_D6_V2'];\nconst refs=['broker_bea.py','rancher_rita.py','rotation_rosa.py','homestead_hana.py','melon_mateo.py'];\nconst out:any={core:AUTOLAB_CORE_VERSION,seeds,results:[]};\nfor(const ref of refs){for(const variant of variants){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,legalTelemetry:'NONE',oracleActionTelemetry:'NONE'});out.results.push({variant,ref,episodes:r.episodes,wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors,gap:r.gap.largestGapGrowth});}}\nconsole.log(JSON.stringify(out,null,2));",[],[620],"b41d23ba-b882-431d-aa63-6bbb53bf62d5","meta_cleo_smoke_v1.ts","508550a8-acc8-11f1-bf54-1607ee4eb77e",6,["D",1789011176934],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seed=113001;\nconst variants=['MIX11','CLEO_SLOT_V1','MILK_BALANCE_V1','META_CLEO_DISTILL_V1'];\nconst refs=['broker_bea.py','rancher_rita.py'];\nconst out:any={core:AUTOLAB_CORE_VERSION,seed,results:[]};\nfor(const ref of refs){for(const variant of variants){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds:[seed],legalTelemetry:'NONE',oracleActionTelemetry:'NONE'});out.results.push({variant,ref,episodes:r.episodes,wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors});}}\nconsole.log(JSON.stringify(out,null,2));",[],[628],"a607dc69-7000-4677-9fcc-7cb94f604cfa","meta_cleo_gate_v1.ts","65e7b364-acc8-11f1-b850-1607ee4eb77e",7,["D",1789011212815],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst seeds=[113011,113023,113039,113051];\nconst variants=['MIX11','CLEO_SLOT_V1','MILK_BALANCE_V1','META_CLEO_DISTILL_V1'];\nconst refs=['broker_bea.py','rancher_rita.py'];\nconst out:any={core:AUTOLAB_CORE_VERSION,seeds,results:[]};\nfor(const ref of refs){for(const variant of variants){const r=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,legalTelemetry:'NONE',oracleActionTelemetry:'NONE'});out.results.push({variant,ref,episodes:r.episodes,wins:r.wins,losses:r.losses,ties:r.ties,avgMargin:r.avgMargin,errors:r.errors,gap:r.gap.largestGapGrowth});}}\nconsole.log(JSON.stringify(out,null,2));",[],[636],"105a1b2c-73e9-4289-b102-3ee328bdcf48","meta_cleo_15min.ts","26be3eaa-acc9-11f1-909c-1607ee4eb77e",["D",1789011536290],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\n\nconst CANDIDATE='MILK_MIX_D6_V2';\nconst MIN_CANDIDATE_CYCLES=12;\n\nasync function runOur(variant:string,ref:string,seed:number){\n const r=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds:[seed],legalTelemetry:'NONE',oracleActionTelemetry:'NONE'});\n return {wins:r.wins,losses:r.losses,ties:r.ties,margin:r.avgMargin,errors:r.errors,largestGapGrowth:r.gap?.largestGapGrowth??null};\n}\nasync function runPublic(a:string,b:string,seed:number){\n const r=await runAutolabJob('PUBLIC_CROSSPLAY',{a,b,seeds:[seed]});\n return {winsA:r.winsA,winsB:r.winsB,ties:r.ties,marginA:r.avgMarginA,errors:r.errors};\n}\n\nexport default async function(_interval:any){\n await sqlite.execute(`CREATE TABLE IF NOT EXISTS kag_meta_cleo_cycles (\n cycle_no INTEGER PRIMARY KEY,\n created_at TEXT NOT NULL,\n seed INTEGER NOT NULL,\n core_version TEXT NOT NULL,\n candidate_name TEXT NOT NULL,\n candidate_active INTEGER NOT NULL,\n baseline_broker_wins INTEGER, baseline_broker_losses INTEGER, baseline_broker_margin REAL,\n candidate_broker_wins INTEGER, candidate_broker_losses INTEGER, candidate_broker_margin REAL,\n baseline_rita_wins INTEGER, baseline_rita_losses INTEGER, baseline_rita_margin REAL,\n candidate_rita_wins INTEGER, candidate_rita_losses INTEGER, candidate_rita_margin REAL,\n cleo_broker_wins INTEGER, cleo_broker_losses INTEGER, cleo_broker_margin REAL,\n delta_broker REAL, delta_rita REAL,\n evidence_state TEXT NOT NULL,\n result_json TEXT NOT NULL\n )`);\n const q=await sqlite.execute('SELECT COALESCE(MAX(cycle_no),0) AS n, COUNT(*) AS cycles, COALESCE(SUM(candidate_broker_wins),0) AS cw, COALESCE(SUM(candidate_broker_losses),0) AS cl, COALESCE(AVG(delta_broker),0) AS db FROM kag_meta_cleo_cycles');\n const row:any=q.rows?.[0]??{};\n const cycle=Number(row.n??0)+1;\n const priorCycles=Number(row.cycles??0);\n const priorCandidateWins=Number(row.cw??0);\n const priorDelta=Number(row.db??0);\n const candidateActive=!(priorCycles>=MIN_CANDIDATE_CYCLES && priorCandidateWins===0 && priorDelta<=0);\n const seed=114001+cycle*17;\n\n const baseBroker=await runOur('MIX11','broker_bea.py',seed);\n const baseRita=await runOur('MIX11','rancher_rita.py',seed);\n const cleoBroker=await runPublic('closer_cleo.py','broker_bea.py',seed);\n const candBroker=candidateActive?await runOur(CANDIDATE,'broker_bea.py',seed):null;\n const candRita=candidateActive?await runOur(CANDIDATE,'rancher_rita.py',seed):null;\n const deltaBroker=candBroker?candBroker.margin-baseBroker.margin:null;\n const deltaRita=candRita?candRita.margin-baseRita.margin:null;\n const evidenceState=candidateActive?'PAIRED_FRESH_CANDIDATE_EVALUATION_NOT_CHAMPION_PROOF':'CANDIDATE_CIRCUIT_BREAKER_FALSIFIED_CONTINUE_TEACHER_BASELINE';\n const result={cycle,seed,core:AUTOLAB_CORE_VERSION,candidate:CANDIDATE,candidateActive,baseBroker,candBroker,baseRita,candRita,cleoBroker,deltaBroker,deltaRita,evidenceState};\n await sqlite.execute({sql:`INSERT INTO kag_meta_cleo_cycles (cycle_no,created_at,seed,core_version,candidate_name,candidate_active,baseline_broker_wins,baseline_broker_losses,baseline_broker_margin,candidate_broker_wins,candidate_broker_losses,candidate_broker_margin,baseline_rita_wins,baseline_rita_losses,baseline_rita_margin,candidate_rita_wins,candidate_rita_losses,candidate_rita_margin,cleo_broker_wins,cleo_broker_losses,cleo_broker_margin,delta_broker,delta_rita,evidence_state,result_json) VALUES (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)`,args:[cycle,new Date().toISOString(),seed,AUTOLAB_CORE_VERSION,CANDIDATE,candidateActive?1:0,baseBroker.wins,baseBroker.losses,baseBroker.margin,candBroker?.wins??null,candBroker?.losses??null,candBroker?.margin??null,baseRita.wins,baseRita.losses,baseRita.margin,candRita?.wins??null,candRita?.losses??null,candRita?.margin??null,cleoBroker.winsA,cleoBroker.winsB,cleoBroker.marginA,deltaBroker,deltaRita,evidenceState,JSON.stringify(result)]});\n console.log(JSON.stringify(result,null,2));\n return result;\n}",[],[644],"5624a23b-5ce4-419e-8985-56ca878e4877","legal_top_hierarchy_heldout_v2.ts","01a0895f-252a-76fd-8ae5-830fa66d8b47",["D",1789011109169],"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');",[],[651],"47e6664d-ab4a-491f-bd3b-997c499b3077","legal_top_hierarchy_heldout_v1.ts","01a0895f-252a-76fd-8ae5-7c29eee4e816",["D",1789011109169],"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');",[],[658],"99e65cab-1ed8-4c35-98b4-ee0129e8d1c8","legal_top_crosspolicy_ood_v1.ts","01a0895f-252a-76fd-8ae5-790b9fe77375",["D",1789011109169],"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 ${bad}`);const q=classify(g.legalTrace);ps.push({truth:ref,pred:q.pred,stage:q.stage,margin:q.margin,seed:g.seed,seat:g.ourSeat})}}const per:any={};for(const p of ps){per[p.truth]=per[p.truth]??{n:0,ok:0};per[p.truth].n++;if(p.truth===p.pred)per[p.truth].ok++}out.variants[variant]={n:ps.length,accuracy:ps.filter(p=>p.truth===p.pred).length/ps.length,perRef:Object.fromEntries(Object.entries(per).map(([k,v]:any)=>[k,v.ok/v.n])),errors:ps.filter(p=>p.truth!==p.pred),minBLMargin:Math.min(...ps.filter(p=>p.stage==='D12_BROKER_LENA').map(p=>p.margin))}}\nif(!out.mutationControl.detected)out.status='FAIL';console.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[],[665],"8bd38f92-d8c0-451b-95bb-79460f1f762f","legal_observer_trace_selftest_v1.ts","01a0895f-252a-76fd-8ae5-74ecdbb599fc",["D",1789011109169],"import { AUTOLAB_CORE_VERSION, runAutolabJob } from './lib/kag_autolab_core.ts';\nconst expected:any={'100577:0':[33289,15630],'100577:1':[33247,15630]};\nconst forbiddenKeys=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbiddenKeys.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nconst r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant:'MIX11',ref:'melon_mateo.py',seeds:[100577],legalTelemetry:'FULL'});\nconst problems:string[]=[];\nif(AUTOLAB_CORE_VERSION!=='KAG_AUTOLAB_CORE_V22_LEGAL_TELEMETRY_SEPARATION')problems.push(`core=${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('; '));",[],[672],"150d67f8-a74a-4f76-b5e1-abbce3766635","legal_broker_lena_transition_values_v1.ts","01a0895f-252a-76fd-8ae5-7312c90194a5",["D",1789011109169],"import { runAutolabJob } from './lib/kag_autolab_core.ts';\nconst variants=['MIX11','M60_FERT','ADAPT_V1','DP_H'],seeds=[100809,100811],refs=['broker_bea.py','ledger_lena.py'];const out:any={status:'PASS',evidenceState:'LEGAL_BROKER_LENA_TRANSITION_VALUES',variants:{}};\nfunction one(t:any[]){const r:any={};for(const h of [1,2,3]){const p=t.find(x=>x.day===12&&x.hour===h-1),x=t.find(x=>x.day===12&&x.hour===h);r[h]={oppCash0:p.opp.cash,oppCash1:x.opp.cash,dOppCash:x.opp.cash-p.opp.cash,wheatI0:p.market.inventory.WHEAT,wheatI1:x.market.inventory.WHEAT,dWheatI:x.market.inventory.WHEAT-p.market.inventory.WHEAT,wheatP0:p.market.prices.WHEAT,wheatP1:x.market.prices.WHEAT,dWheatP:x.market.prices.WHEAT-p.market.prices.WHEAT,fertI0:p.market.inventory.FERTILIZER,fertI1:x.market.inventory.FERTILIZER,dFertI:x.market.inventory.FERTILIZER-p.market.inventory.FERTILIZER}}return r}\nfor(const variant of variants){out.variants[variant]={};for(const ref of refs){const rr:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,legalTelemetry:'FULL'});out.variants[variant][ref]=rr.games.filter((g:any)=>g.ourSeat===0).map((g:any)=>({seed:g.seed,t:one(g.legalTrace)}))}}\nconsole.log(JSON.stringify(out,null,2));",[],[679],"566b0472-4a1c-4d7f-a7ec-35e47dd19902","legal_broker_lena_localdelta_crosspolicy_v1.ts","01a0895f-252a-76fd-8ae5-6d8e0fb7291b",["D",1789011109169],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst refs=['broker_bea.py','ledger_lena.py'];const trainSeeds=[100577,100591,100609,100621,100639,100651];const testSeeds=[100809,100811,100823,100829];const variants=['MIX11','M60_FERT','ADAPT_V1','DP_H','M50_FERT','DP_W'];\nconst forbidden=new Set(['private','shed','seeds','inventories','action','actions','opponentAction','refAction','dailyActions','actionTimeline']);\nfunction illegalKey(x:any):string|null{if(!x||typeof x!=='object')return null;if(Array.isArray(x)){for(const v of x){const r=illegalKey(v);if(r)return r}return null}for(const [k,v] of Object.entries(x)){if(forbidden.has(k))return k;const r=illegalKey(v);if(r)return r}return null}\nfunction feat(t:any[]){const f:any={};for(const h of [1,2,3]){const x=t.find(q=>q.day===12&&q.hour===h),p=t.find(q=>q.day===12&&q.hour===h-1);if(!x||!p)continue;f[`h${h}:oppCashD`]=(x.opp.cash-p.opp.cash)/2000;f[`h${h}:meCashD`]=(x.me.cash-p.me.cash)/2000;for(const item of ['WHEAT','FERTILIZER','MELON']){f[`h${h}:${item}:invD`]=(x.market.inventory[item]-p.market.inventory[item])/30;f[`h${h}:${item}:priceD`]=(x.market.prices[item]-p.market.prices[item])/20}}return f}\nfunction dist(a:number[],b:number[]){let s=0;for(let i=0;itrain.reduce((a,s)=>a+s.f[k],0)/train.length);const sd=names.map((k,i)=>Math.sqrt(train.reduce((a,s)=>{const d=s.f[k]-mean[i];return a+d*d},0)/Math.max(1,train.length-1))||1);const z=(f:any)=>names.map((k,i)=>(f[k]-mean[i])/sd[i]);const cents:any={};for(const ref of refs){const xs=train.filter(s=>s.ref===ref).map(s=>z(s.f));cents[ref]=names.map((_,i)=>xs.reduce((a,v)=>a+v[i],0)/xs.length)}function classify(t:any[]){const v=z(feat(t)),rank=refs.map(ref=>({ref,d:dist(v,cents[ref])})).sort((a,b)=>a.d-b.d);return{pred:rank[0].ref,margin:rank[1].d-rank[0].d,rank}}\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_BROKER_LENA_LOCAL_DELTA_CROSSPOLICY',trainSeeds,testSeeds,features:names,variants:{},mutationControl:{detected:illegalKey([{opponentAction:{}}])==='opponentAction'}};for(const variant of variants){const ps:any[]=[];for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds:testSeeds,legalTelemetry:'FULL'});for(const g of r.games){const q=classify(g.legalTrace);ps.push({truth:ref,pred:q.pred,margin:q.margin,seed:g.seed,seat:g.ourSeat})}}out.variants[variant]={n:ps.length,accuracy:ps.filter(p=>p.truth===p.pred).length/ps.length,minMargin:Math.min(...ps.map(p=>p.margin)),errors:ps.filter(p=>p.truth!==p.pred)}}if(!out.mutationControl.detected)out.status='FAIL';console.log(JSON.stringify(out,null,2));if(out.status!=='PASS')throw new Error('mutation control failed');",[],[686],"9fa45f66-fadc-4b4a-bca2-6480ed8784f9","legal_broker_lena_h2_compact_v1.ts","01a0895f-252a-76fd-8ae5-6930adee0049",["D",1789011109169],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst variants=['MIX11','M60_FERT','ADAPT_V1','DP_H','M50_FERT','DP_W'];const seeds=[100809,100811];const refs=['broker_bea.py','ledger_lena.py'];\nfunction sig(t:any[]){const p=t.find(x=>x.day===12&&x.hour===1),x=t.find(x=>x.day===12&&x.hour===2);return{preCash:p.opp.cash,dCash:x.opp.cash-p.opp.cash,preWI:p.market.inventory.WHEAT,dWI:x.market.inventory.WHEAT-p.market.inventory.WHEAT,preWP:p.market.prices.WHEAT,dWP:x.market.prices.WHEAT-p.market.prices.WHEAT,preFI:p.market.inventory.FERTILIZER,dFI:x.market.inventory.FERTILIZER-p.market.inventory.FERTILIZER,meCash0:p.me.cash,dMeCash:x.me.cash-p.me.cash}}\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,variants:{}};for(const variant of variants){const v:any={};for(const ref of refs){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,legalTelemetry:'FULL'});v[ref]=r.games.filter((g:any)=>g.ourSeat===0).map((g:any)=>({seed:g.seed,...sig(g.legalTrace)}))}v.paired=seeds.map(seed=>{const b=v['broker_bea.py'].find((x:any)=>x.seed===seed),l=v['ledger_lena.py'].find((x:any)=>x.seed===seed);return{seed,dCash_BminusL:b.dCash-l.dCash,dWI_BminusL:b.dWI-l.dWI,dWP_BminusL:b.dWP-l.dWP,dMeCash_BminusL:b.dMeCash-l.dMeCash}});out.variants[variant]=v}console.log(JSON.stringify(out,null,2));",[],[693],"96c3500b-a3e5-43dd-af04-2ec0ef39ca70","legal_broker_lena_crosspolicy_firstdiff_v1.ts","01a0895f-252a-76fd-8ae5-6783b8ab9c15",["D",1789011109169],"import { runAutolabJob, AUTOLAB_CORE_VERSION } from './lib/kag_autolab_core.ts';\nconst variants=['MIX11','M60_FERT','ADAPT_V1','DP_H','M50_FERT','DP_W'];\nconst seeds=[100809,100811];\nfunction diff(a:any,b:any,path=''):any[]{if(a===b)return[];if(typeof a!=='object'||a===null||typeof b!=='object'||b===null)return[{path,a,b}];if(Array.isArray(a)||Array.isArray(b))return JSON.stringify(a)===JSON.stringify(b)?[]:[{path,a,b}];return[...new Set([...Object.keys(a),...Object.keys(b)])].flatMap(k=>diff(a?.[k],b?.[k],path?`${path}.${k}`:k))}\nconst out:any={status:'PASS',core:AUTOLAB_CORE_VERSION,evidenceState:'LEGAL_BROKER_LENA_CROSSPOLICY_FIRST_DIFF',variants:{}};\nfor(const variant of variants){const data:any={};for(const ref of ['broker_bea.py','ledger_lena.py']){const r:any=await runAutolabJob('OUR_VS_REFERENCE',{variant,ref,seeds,legalTelemetry:'FULL'});for(const g of r.games)data[`${ref}|${g.seed}|${g.ourSeat}`]=g.legalTrace}const rows=[];for(const seed of seeds)for(const seat of [0,1]){const a=data[`broker_bea.py|${seed}|${seat}`],b=data[`ledger_lena.py|${seed}|${seat}`];let i=0;while(i=a.length?{seed,seat,equal:true}:{seed,seat,equal:false,step:a[i].step,day:a[i].day,hour:a[i].hour,diffs:diff(a[i],b[i]).slice(0,12)})}out.variants[variant]=rows}\nconsole.log(JSON.stringify(out,null,2));",[],[700],"ea42223e-b7dc-4d00-b301-80ed3cf359f9","core_v21_behavior_signature.ts","01a0895f-252a-76fd-8ae5-60aeaddafda0",["D",1789011109169],"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));",[],[707],"14f76feb-d3a5-424d-855a-c9772de64fb4","README.md","01a0895f-252a-76fd-8ae5-5da7615661ac",["D",1789011109169],"# Kaggriculture Autolab Worker\n\n> **STRATEGY AUTHORITY / READ-FIRST:** this project is a compute sidecar only. Before any human/automation turns its results into a hypothesis, mutation or queue plan, read `cleitoncosta/chat-native-maestro@economic-v0.6/artifacts/kaggriculture/00_READ_FIRST.md` and require `KAG_CONTEXT_PREFLIGHT=PASS`. Sidecar state never overrides canonical strategic artifacts by itself.\n\nDedicated autonomous compute sidecar for `cleitoncosta/chat-native-maestro@economic-v0.6`.\n\n- Trigger: `worker.ts`\n- Schedule: every 15 minutes (Free-tier minimum)\n- Queue: `kag_autolab_queue`\n- Runs: `kag_autolab_runs`\n- State: `kag_autolab_state`\n- Artifact mirror: `kag_autolab_artifacts`\n- Blob artifact prefix: `artifacts/kaggriculture/autolab/`\n\nThe worker performs only reversible research/compute work. It does not submit to Kaggle, spend funds, handle KYC/payout, or expose secrets. Public reference agents are used as black-box opponents; non-licensed TRACE/replay-plan content is not incorporated.\n",[],[714],["D",1789011109169],[],[18,105],["D",1789011109169],[],[18,117],["D",1789011109169],[],[18,123],["D",1789011109169],[],[18,129],["D",1789011109169],[],[18,135],["D",1789011109169],[],[18,141],["D",1789011109169],[],[18,147],["D",1789011109169],[],[18,153],["D",1789011109169],[],[18,159],["D",1789011109169],[],[18,165],["D",1789011109169],[],[18,171],["D",1789011109169],[],[18,177],["D",1789011109169],[],[18,183],["D",1789011109169],[],[18,189],["D",1789011109169],[],[18,195],["D",1789011109169],[],[18,201],["D",1789011109169],[],[18,207],["D",1789011109169],[],[18,213],["D",1789011109169],[],[18,219],["D",1789011109169],[],[18,225],["D",1789011109169],[],[18,231],["D",1789011109169],[],[18,237],["D",1789011109169],[],[18,243],["D",1789011109169],[],[18,249],["D",1789011109169],[],[18,255],["D",1789011109169],[],[18,261],["D",1789011109169],[],[18,267],["D",1789011109169],[],[18,273],["D",1789011109169],[],[18,279],["D",1789011109169],[],[18,284],["D",1789011109169],[541,542,543,544,545,546,547,548,549,550,551,552,553,554,555,556,557,558,559,560,561,562,563,564,565,566,567,568,569,570],[18],"46e185f9-1775-4ef4-909c-cff2bdc9d311","recover_b34_from_blob_v1.ts","01a0895f-252a-76fd-8ae4-d8d92cc873be","01a0895f-252a-76fd-8ae4-dc465bc87889",["D",1789011109169],"import { sqlite } from 'https://esm.town/v/std/sqlite/main.ts';\nimport { blob } from 'https://esm.town/v/std/blob/main.ts';\n\nconst RECOVERY_VERSION='KAG_AUTOLAB_RECOVERY_V1_COMPACT_INDEX';\nconst TARGETS=[\n {jobId:'OUR-MIX11-BROKER-LEGAL-B34',prefix:'artifacts/kaggriculture/autolab/20260908T015219Z_OUR-MIX11-BROKER-LEGAL-B34'},\n {jobId:'OUR-MIX11-LENA-LEGAL-B34',prefix:'artifacts/kaggriculture/autolab/20260908T015226Z_OUR-MIX11-LENA-LEGAL-B34'},\n];\n\nasync function sha256(s:string){const b=await crypto.subtle.digest('SHA-256',new TextEncoder().encode(s));return Array.from(new Uint8Array(b)).map(x=>x.toString(16).padStart(2,'0')).join('')}\nfunction bytes(s:string){return new TextEncoder().encode(s).byteLength}\nfunction compactResult(result:any,key:string,n:number,h:string){const {games,...summary}=result??{};return{...summary,gamesOmittedFromSqlite:Array.isArray(games)?games.length:0,fullArtifactKey:key,fullArtifactBytes:n,fullArtifactSha256:h,recoveryEvidence:'FULL_BLOB_ALREADY_WRITTEN_BEFORE_SQL_INDEX_FAILURE'}}\n\nconst recovered:any[]=[];\n for(const t of TARGETS){\n const already=await sqlite.execute({sql:`SELECT run_id,status,artifact_prefix,evidence_state FROM kag_autolab_runs WHERE job_id=? AND status='DONE' AND artifact_prefix=? LIMIT 1`,args:[t.jobId,t.prefix]});\n if(already.rows?.length){recovered.push({jobId:t.jobId,status:'ALREADY_RECOVERED',run:already.rows[0]});continue}\n const jsonKey=`${t.prefix}.json`,mdKey=`${t.prefix}.md`;\n const fullJson=await (await blob.get(jsonKey)).text(),md=await (await blob.get(mdKey)).text();\n const parsed=JSON.parse(fullJson),fullBytes=bytes(fullJson),fullHash=await sha256(fullJson),mdHash=await sha256(md);\n if(parsed?.job?.job_id!==t.jobId)throw new Error(`wrong blob target ${t.jobId}: got ${parsed?.job?.job_id}`);\n if(!parsed?.result||Number(parsed.result.episodes??0)<=0)throw new Error(`blob lacks computed result for ${t.jobId}`);\n const compact={...parsed,worker:RECOVERY_VERSION,result:compactResult(parsed.result,jsonKey,fullBytes,fullHash)};\n const resultJson=JSON.stringify(compact);\n const index=JSON.stringify({schema:'KAG_AUTOLAB_BLOB_RECOVERY_INDEX_V1',recoveryVersion:RECOVERY_VERSION,jobId:t.jobId,artifactKey:jsonKey,fullArtifactBytes:fullBytes,fullArtifactSha256:fullHash,sqlResultCompacted:true,omittedTopLevelField:'result.games',episodes:Number(parsed.result.episodes??0),sourceComputeWorker:parsed.worker,sourceComputeCore:parsed.core});\n const indexHash=await sha256(index),runId=crypto.randomUUID();\n const hist=await sqlite.execute({sql:`SELECT COUNT(*) n FROM kag_autolab_runs WHERE job_id=? AND status='FAILED'`,args:[t.jobId]});\n const failedAttempts=Number(hist.rows?.[0]?.n??0);\n await sqlite.batch([\n {sql:`INSERT INTO kag_autolab_runs(run_id,job_id,job_type,status,started_at,finished_at,duration_ms,result_json,artifact_prefix,worker_version,evidence_state) VALUES(?,?,?,'DONE',CURRENT_TIMESTAMP,CURRENT_TIMESTAMP,0,?,?,?,'AUTOLAB_COMPUTE_RECOVERED_FROM_BLOB_NOT_CHAMPION_PROOF')`,args:[runId,t.jobId,String(parsed.job.job_type),resultJson,t.prefix,RECOVERY_VERSION]},\n {sql:`UPDATE kag_autolab_queue SET status='DONE',attempts=?,finished_at=CURRENT_TIMESTAMP,updated_at=CURRENT_TIMESTAMP,evidence_state='AUTOLAB_COMPUTE_RECOVERED_FROM_BLOB_NOT_CHAMPION_PROOF' WHERE job_id=?`,args:[failedAttempts,t.jobId]},\n {sql:`INSERT INTO kag_autolab_artifacts(artifact_id,run_id,job_id,artifact_type,artifact_key,content_type,content_text,sha256,evidence_state) VALUES(?,?,?,?,?,?,?,?,?)`,args:[crypto.randomUUID(),runId,t.jobId,'JSON_INDEX',jsonKey,'application/vnd.kag.autolab.index+json',index,indexHash,'AUTOLAB_COMPUTE_RECOVERED_FROM_BLOB_NOT_CHAMPION_PROOF']},\n {sql:`INSERT INTO kag_autolab_artifacts(artifact_id,run_id,job_id,artifact_type,artifact_key,content_type,content_text,sha256,evidence_state) VALUES(?,?,?,?,?,?,?,?,?)`,args:[crypto.randomUUID(),runId,t.jobId,'MARKDOWN',mdKey,'text/markdown',md,mdHash,'AUTOLAB_COMPUTE_RECOVERED_FROM_BLOB_NOT_CHAMPION_PROOF']},\n {sql:`INSERT OR REPLACE INTO kag_autolab_state(state_key,state_json,updated_at) VALUES('last_recovery',?,CURRENT_TIMESTAMP)`,args:[JSON.stringify({job_id:t.jobId,run_id:runId,artifact_prefix:t.prefix,recovery_version:RECOVERY_VERSION,failed_attempts_before_recovery:failedAttempts,full_artifact_bytes:fullBytes,full_artifact_sha256:fullHash})]}\n ]);\n recovered.push({jobId:t.jobId,status:'RECOVERED',runId,artifactPrefix:t.prefix,fullBytes,fullHash,failedAttempts,result:{episodes:parsed.result.episodes,wins:parsed.result.wins,losses:parsed.result.losses,ties:parsed.result.ties,avgMargin:parsed.result.avgMargin,avgOurBank:parsed.result.avgOurBank,avgRefBank:parsed.result.avgRefBank},sqlBytes:bytes(resultJson)});\n }\nconsole.log(JSON.stringify({status:'PASS',recoveryVersion:RECOVERY_VERSION,recovered},null,2));\n",[],[821,814],"maintenance","1cc828a3-d31f-4610-8d39-0fed29a9d821",["D",1789011109169],[539],[821],"655c9bf4-9271-495c-84eb-dce405739bbc","kaggriculture_livestock_portfolio.ts","01a0895f-252a-76fd-8ae4-d1cd567e4a8b","01a0895f-252a-76fd-8ae4-d5be10fd036b",["D",1789011109169],"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",[],[834,827],"lib","2d7b282c-a690-4142-bbf4-c57faa4bfc0d","kaggriculture_engine_loader.ts","01a0895f-252a-76fd-8ae4-cc3d47135125",["D",1789011109169],"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",[],[834,836],"3021219b-2866-4f90-92dd-115040f8f75a","kag_autolab_core.ts","01a0895f-252a-76fd-8ae4-cba405a7f714",11,["D",1789011388141],"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_V26_META_CLEO_DISTILL';\nconst REF_DATASET='https://www.kaggle.com/api/v1/datasets/download/raykkretzschmar/kaggriculture-reference-agents';\nconst REF_ALIASES:Record={\n 'lena_optimist.py':'ledger_lena.py',\n 'silas_strategist.py':'slotter_silas.py',\n 'rookie_rosa.py':'rotation_rosa.py',\n 'harvester_hana.py':'homestead_hana.py',\n 'market_mateo.py':'melon_mateo.py',\n};\nfunction canonicalRefName(name:string){return REF_ALIASES[name]??name}\nconst CHECK_DAYS=new Set([0,3,6,9,12,15,18,21,24,27,29]);\nlet runtimePromise:Promise|null=null;\n\nfunction avg(xs:number[]){return xs.length?xs.reduce((a,b)=>a+b,0)/xs.length:0}\nfunction stateHash(x:any){const s=JSON.stringify(x);let h=2166136261>>>0;for(let i=0;i>>0}return h.toString(16).padStart(8,'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}\nexport async 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 cleoSlotSchedule(o:any,act:any){const market=[...(act?.market??[])];if(market.length<=1)return act;const sells:any[]=[],nonSells:any[]=[];for(const m of market){if(Array.isArray(m)&&String(m[0]??'')==='SELL')sells.push(m);else nonSells.push(m)}const sellScore=(m:any)=>{const item=String(m?.[1]??''),q=Math.max(0,Number(m?.[2]??1)||0),p=Math.max(0,Number(o.market?.prices?.[item]??0)||0);return q*p};sells.sort((a,b)=>sellScore(b)-sellScore(a));const cash=Number(o.farms?.[+o.player]?.money??0)||0;let ordered:any[]=[];if(cash<2500&&sells.length){const funding=Math.min(2,sells.length);ordered=[...sells.slice(0,funding),...nonSells,...sells.slice(funding)]}else ordered=[...nonSells,...sells];return{...act,market:ordered.slice(0,10)}}\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,stagedPortfolioCalls=0,capacityTargetCalls=0,preTreatmentStateHash:string|null=null;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}})}if(+s.day===6&&+s.hour===0&&preTreatmentStateHash===null)preTreatmentStateHash=stateHash(s);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((variant==='CAP2_D6'||variant==='CAP2_D6_STAGED')&&+o.hour===0&&+o.day===6){R.setLand(0);capacityTargetCalls++}if((variant==='STAGED_STRAW_D6_D12'||variant==='CAP2_D6_STAGED')&&+o.hour===0){if(+o.day===6){R.setMix3(0.33,0.56,0.11);stagedPortfolioCalls++}else if(+o.day===9){R.setMix3(0.23,0.37,0.40);stagedPortfolioCalls++}else if(+o.day===12){R.setMix3(0.15,0.15,0.70);stagedPortfolioCalls++}}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']))}if((variant==='MILK_BALANCE_V1'||variant==='META_CLEO_DISTILL_V1')&&+o.hour===0&&+o.day>=12){const ownedC=own(o,'COW'),ownedS=own(o,'SHEEP'),total=tg.COW+tg.SHEEP,desiredCow=Math.ceil(total*0.65),targetC=Math.min(Math.max(ownedC,total-ownedS),Math.max(ownedC,desiredCow),total-ownedS);tg={COW:targetC,SHEEP:Math.max(ownedS,total-targetC)};R.setHerd(tg.COW,tg.SHEEP,JSON.stringify(['COW','SHEEP']))}if(variant==='MILK_MIX_D6_V2'&&+o.hour===0&&+o.day>=6){const ownedC=own(o,'COW'),ownedS=own(o,'SHEEP'),total=tg.COW+tg.SHEEP,desiredCow=Math.ceil(total*0.65),targetC=Math.min(total-ownedS,Math.max(ownedC,desiredCow));tg={COW:targetC,SHEEP:total-targetC};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==='CLEO_SLOT_V1'||variant==='META_CLEO_DISTILL_V1')a=cleoSlotSchedule(o,a);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','STAGED_STRAW_D6_D12','CAP2_D6','CAP2_D6_STAGED','CLEO_SLOT_V1','MILK_BALANCE_V1','META_CLEO_DISTILL_V1','MILK_MIX_D6_V2'].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",[],[834,843],"07b6209e-f187-46bb-91bc-43183f1bc4ea",["D",1789011109169],[535,536,537],[834],["D",1788770222210],["D",1789550457365],{"_11":12,"_339":111},{"_11":12,"_334":335,"_110":111,"_31":109,"_336":337,"_338":30},{"_39":324,"_13":16,"_33":36,"_325":288,"_326":99,"_327":328,"_329":292,"_330":288,"_331":42,"_332":14,"_333":12},"ctx",{"_54":-5,"_359":892,"_893":894,"_895":896,"_897":30,"_898":30,"_899":30,"_900":24,"_901":-5,"_902":-7,"_903":-7,"_904":26,"_905":30,"_906":30,"_907":-5,"_908":30,"_909":30,"_910":30,"_911":-5},"ENV",{"_863":864,"_865":866,"_867":100,"_868":869,"_870":871,"_872":873,"_874":875,"_876":877,"_878":879,"_880":881,"_882":883,"_884":885,"_886":887,"_888":889,"_890":891},"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"]

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