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while(j>=0&&a[j].e>x.s) j--; return j;});\n const dp=new Array(a.length+1).fill(0);\n for(let i=1;i<=a.length;i++) dp[i]=Math.max(dp[i-1],a[i-1].v+dp[p[i-1]+1]);\n return dp[a.length];\n}\nfunction parseSelected(text:string):string[]{\n const i=text.indexOf(\"{\"), j=text.lastIndexOf(\"}\");\n if(i<0||jtypeof z===\"string\")) throw new Error(\"BAD_SCHEMA\");\n return x.selected;\n}\nfunction verify(xs:Iv[], ids:string[]):boolean{\n if(new Set(ids).size!==ids.length) return false;\n const map=new Map(xs.map(x=>[x.id,x]));\n const sel=ids.map(id=>map.get(id)).filter(Boolean) as Iv[];\n if(sel.length!==ids.length) return false;\n sel.sort((a,b)=>a.s-b.s||a.e-b.e);\n for(let i=1;isel[i].s) return false;\n const v=sel.reduce((s,x)=>s+x.v,0);\n return v===optimalValue(xs);\n}\nasync function call(model:string,xs:Iv[],idx:number):Promise{\n const prompt = `Solve this weighted interval scheduling problem exactly. Choose a set of non-overlapping intervals maximizing total value. Intervals may touch when previous end <= next start. Return ONLY JSON exactly like {\"selected\":[\"A\",\"C\"]}, with interval IDs sorted by start time. No explanation.\\nIntervals: ${JSON.stringify(xs)}`;\n const t=Date.now();\n try{\n const r=await fetch(endpoint,{method:\"POST\",headers:{\"content-type\":\"application/json\"},body:JSON.stringify({model,messages:[{role:\"user\",content:prompt}],temperature:0,max_tokens:220})});\n const raw=await r.text();\n const ms=Date.now()-t;\n if(!r.ok) return {model,status:r.status,ms,ok:false,verified:false,error:raw.slice(0,500)};\n let j:any; try{j=JSON.parse(raw);}catch{return {model,status:r.status,ms,ok:true,verified:false,error:\"NON_JSON_HTTP_BODY\",answer:raw.slice(0,500)}}\n const answer=String(j?.choices?.[0]?.message?.content??\"\");\n let verified=false; let error=\"\";\n try{verified=verify(xs,parseSelected(answer)); if(!verified) error=\"WRONG_SOLUTION\";}catch(e){error=String(e);}\n return {model,status:r.status,ms,ok:true,verified,answer,responseModel:j?.model,cost:j?.usage?.cost,error:error||undefined};\n }catch(e){return {model,status:0,ms:Date.now()-t,ok:false,verified:false,error:String(e)}}\n}\n\nconst startedAt=new Date().toISOString();\nconst all:any[]=[];\nfor(let i=0;icall(m,xs,i)));\n all.push({instance:i+1,optimum,calls});\n console.log(JSON.stringify({instance:i+1,optimum,calls:calls.map(c=>({model:c.model,status:c.status,ms:c.ms,verified:c.verified,responseModel:c.responseModel,cost:c.cost,error:c.error}))}));\n}\n\nconst modelStats=models.map(model=>{\n const cs=all.flatMap(r=>r.calls.filter((c:Call)=>c.model===model));\n const good=cs.filter((c:Call)=>c.verified);\n return {model,verified:good.length,total:cs.length,successRate:good.length/cs.length,medianVerifiedMs:good.length?[...good].sort((a:Call,b:Call)=>a.ms-b.ms)[Math.floor((good.length-1)/2)].ms:null};\n});\n\nconst portfolio=all.map(r=>{\n const good=(r.calls as Call[]).filter(c=>c.verified).sort((a,b)=>a.ms-b.ms);\n return {instance:r.instance,verified:good.length>0,firstMs:good[0]?.ms??null,winner:good[0]?.model??null};\n});\nconst primary=modelStats.slice().sort((a,b)=>(b.successRate-a.successRate)||((a.medianVerifiedMs??1e9)-(b.medianVerifiedMs??1e9)))[0]?.model;\nconst threshold=1200;\nconst staged=all.map(r=>{\n const cs=r.calls as Call[]; const p=cs.find(c=>c.model===primary)!; const backups=cs.filter(c=>c.model!==primary);\n if(p.verified && p.ms<=threshold) return {instance:r.instance,verified:true,estimatedMs:p.ms,estimatedCalls:1,reason:\"primary_before_threshold\"};\n const backupStart = (!p.verified && p.msc.verified).sort((a,b)=>a.ms-b.ms);\n const candidates:number[]=[];\n if(p.verified) candidates.push(p.ms);\n if(goodBackups.length) candidates.push(backupStart+goodBackups[0].ms);\n return {instance:r.instance,verified:candidates.length>0,estimatedMs:candidates.length?Math.min(...candidates):null,estimatedCalls:1+backups.length,reason:\"escalated\"};\n});\n\nconst result={schema:\"BRAIN_VERIFIED_YIELD_SPIKE_V1\",startedAt,finishedAt:new Date().toISOString(),models,instances:all,modelStats,portfolio,staged:{primary,thresholdMs:threshold,rows:staged},note:\"Non-authority disposable operational spike; synthetic public data only.\"};\nawait blob.setJSON(\"brain-yield-spike-260909/result-v1.json\",result);\nconsole.log(JSON.stringify({summary:{modelStats,portfolio,staged:result.staged},blobKey:\"brain-yield-spike-260909/result-v1.json\"}));\n",[],[178],"3359178e-20b9-4f8e-93eb-6100f2b5d4fb","probe_fix.ts","f7250ad8-ac5b-11f1-bde9-1607ee4eb77e",["D",1788964641332],"const xs=[{id:\"A\",s:0,e:3,v:8},{id:\"B\",s:1,e:4,v:9},{id:\"C\",s:3,e:5,v:7},{id:\"D\",s:4,e:7,v:12},{id:\"E\",s:5,e:8,v:11},{id:\"F\",s:7,e:9,v:6},{id:\"G\",s:8,e:11,v:10},{id:\"H\",s:9,e:12,v:9},{id:\"I\",s:11,e:13,v:8},{id:\"J\",s:12,e:15,v:13},{id:\"K\",s:13,e:16,v:12},{id:\"L\",s:15,e:18,v:14}];\nconst schema={type:\"object\",additionalProperties:false,required:[\"selected\"],properties:{selected:{type:\"array\",items:{type:\"string\"}}}};\nconst prompt=`Solve this weighted interval scheduling problem exactly. Choose a set of non-overlapping intervals maximizing total value. Intervals may touch when previous end <= next start. Return selected interval IDs sorted by start time. Intervals: ${JSON.stringify(xs)}`;\nconst t=Date.now();\nconst r=await fetch(\"https://api.kilo.ai/api/gateway/chat/completions\",{method:\"POST\",headers:{\"content-type\":\"application/json\"},body:JSON.stringify({model:\"dots-studio/dots-3-note-preview:free\",messages:[{role:\"user\",content:prompt}],temperature:0,max_tokens:500,stream:false,reasoning:{effort:\"none\",exclude:true},response_format:{type:\"json_schema\",json_schema:{name:\"weighted_interval_solution\",strict:true,schema}}})});\nconst raw=await r.text(); let j:any=null; try{j=JSON.parse(raw)}catch{}\nconsole.log(JSON.stringify({status:r.status,ms:Date.now()-t,content:j?.choices?.[0]?.message?.content,finish:j?.choices?.[0]?.finish_reason,usage:j?.usage,error:j?.error,raw:raw.slice(0,1500)}));",[],[186],["D",1788964457492],[],[18],["D",1788964457448],["D",1789572079973],{"_11":12,"_122":69},{"_11":12,"_117":118,"_68":69,"_30":67,"_119":120,"_121":24},{"_38":108,"_13":16,"_32":35,"_109":71,"_110":-5,"_111":-5,"_112":-5,"_113":-5,"_114":-5,"_115":14,"_116":12},"ctx",{"_52":-5,"_141":233,"_234":235,"_236":237,"_238":24,"_239":24,"_240":24,"_241":147,"_242":-5,"_243":-7,"_244":-7,"_245":26,"_246":24,"_247":24,"_248":-5,"_249":24,"_250":24,"_251":24,"_252":-5},"ENV",{"_204":205,"_206":207,"_208":16,"_209":210,"_211":212,"_213":214,"_215":216,"_217":218,"_219":220,"_221":222,"_223":224,"_225":226,"_227":228,"_229":230,"_231":232},"REACT_APP_SENTRY_DSN","https://586020d86f05489db63a554690acf1e9@o1398359.ingest.sentry.io/6724499","RENDER_GIT_COMMIT","fdb67791413f4386b4dbf18f354029a617f6160f","RENDER_GIT_BRANCH","POSTHOG_API_TOKEN","phc_nmoyuAkStEZuUp69rYlg1DZgrIt19Gx0Y4Hwf8tGgJP","POSTHOG_API_HOST","https://wart.val.town","WEB_API_TEMPLATE","https://{val}.web.val.run","APP_URL","https://www.val.town","MODULE_URL","https://esm.town","VANITY_WEB_API_TEMPLATE","https://{label}.val.run/","DENOLS_URL","https://lsp.val.town","NODE_ENV","production","CLOUDFLARE_TURNSTILE_SITE_KEY","0x4AAAAAACtaIZJH7s9rBMZ6","GOOGLE_CLIENT_ID","875989696899-jtsqkhlbdv5jrlsk8631p7ipjg3c6o62.apps.googleusercontent.com","STRIPE_PUBLISHABLE_KEY","pk_live_51N2zvWEpZTTLipIkVEwXrUG9AT0yeOOEYxszarZT1jpsZV58Ly6wlg3SltZpHN26CUalOBmUSY7adQRQiSkCZz2500qSXNkf8Y","API_URL","https://api.val.town",[],"preferencesKeybindings","default","preferencesTheme","light","preferencesFixers","preferencesCopilot","preferencesSelectionAi","preferencesCloseBrackets","preferencesChatPanelState","preferencesDprint","preferencesDenofmt","notificationCount","flagDenols","isBusinessOrgMember","businessOrgHandle","isBusinessOrgAdmin","isHigherTownieTier","navCollapsed","currentOrgId"]

History · catalog.ts