1"use strict";(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[3192],{1305:(e,t,n)=>{n.r(t),n.d(t,{clearMemories:()=>I,cosineSim:()=>u,embedBatch:()=>f,embedText:()=>c,memoryCount:()=>m,remember:()=>p,retrieveRelevant:()=>g,warmup:()=>h});var i=n(35316),s=n(75182),r=n(17531);let a=null,o=new Map,l=1;function d(e,t){let i=(a||((a=new Worker(n.tu(new URL(n.p+n.u(4879),n.b)),{type:void 0})).onmessage=e=>{let t=e.data,n=o.get(t.id);if(n){if("progress"===t.type)return void n.onProgress?.(Number(t.done),Number(t.total));o.delete(t.id),"error"===t.type?n.reject(Error(String(t.message??"embedding worker error"))):"ready"===t.type?n.resolve(void 0):"embedding"===t.type?n.resolve(t.vector):"embeddingBatch"===t.type?n.resolve(t.vectors):n.reject(Error(`unexpected worker reply: ${t.type}`))}},a.onerror=e=>{let t=e.message||"worker error";for(let e of o.values())e.reject(Error(t));o.clear()}),a),s=l++;return new Promise((n,r)=>{let a={resolve:n,reject:r};t&&(a.onProgress=t),o.set(s,a),i.postMessage({id:s,...e})})}async function h(){await d({type:"warmup"})}async function c(e){return await d({type:"embed",text:e})}async function f(e,t){return 0===e.length?[]:await d({type:"embedBatch",texts:e},t)}function u(e,t){if(e.length!==t.length)return -1;let n=0;for(let i=0;i<e.length;i++)n+=e[i]*t[i];return n}async function Q(){return(await n.e(2675).then(n.bind(n,92675)))._getKeyForMemory()}async function p(e,t,n){let a=(0,i.L)();if(!a)return;let o=`User: ${e} 2Assistant: ${t}`,l=await c(o),d=await Q(),h={id:(0,r.uR)(),content:await (0,s.FA)(o,d),embedding:l.buffer.slice(0),sourceConversationId:n,createdAt:(0,r.tB)()};await a.memories.add(h);let f=await a.memories.count();if(f>1500){let e=await a.memories.orderBy("createdAt").limit(f-1500).primaryKeys();await a.memories.bulkDelete(e)}}async function g(e,t=3,n=.35){let r=(0,i.L)();if(!r)return[];let a=await r.memories.toArray();if(0===a.length)return[];let o=await c(e),l=await Q(),d=[];for(let e of a){let t=function(e,t){if(e.length!==t.length)return -1;let n=0;for(let i=0;i<e.length;i++)n+=e[i]*t[i];return n}(o,new Float32Array(e.embedding));t>=n&&d.push({record:e,score:t})}d.sort((e,t)=>t.score-e.score);let h=d.slice(0,t),f=[];for(let e of h)try{f.push(await (0,s.PV)(e.record.content,l))}catch{}return f}async function I(){let e=(0,i.L)();e&&await e.memories.clear()}async function m(){let e=(0,i.L)();return e?e.memories.count():0}},9206:(e,t,n)=>{n.d(t,{K:()=>c,_:()=>o});var i=n(47852),s=n(93457),r=n(65584);let a=[];function o(){let e=a.find(e=>/(^|_)get_request_status$/i.test(e.name))??a.find(e=>/request_?status/i.test(e.name))??a.find(e=>/(^|_)status$/i.test(e.name))??a.find(e=>/status/i.test(e.name));if(!e)return{name:"get_request_status",argKey:"requestId"};let t="requestId",n=e.inputSchema?.properties;if(n&&"object"==typeof n){let e=Object.keys(n);t=e.find(e=>/request/i.test(e)&&/id/i.test(e))??e.find(e=>/id$/i.test(e))??e[0]??"requestId"}return{name:e.name,argKey:t}}let l=` 3ONCHAIN MODE: the Base tools above take REAL actions on the Base blockchain. 4When the user means PRXVT (the token), it is the ERC-20 at ${s.hC.address} on Base (chain "base"), ${s.hC.decimals} decimals. Use this address for any swap or transfer involving PRXVT. 5Use the user's EXACT amounts and recipients. Never invent an address. If an amount or recipient is ambiguous, ask before calling a tool. 6Every fund-moving or signing action is approved by the user in their own Base Account before it executes. Never say something is done until the tool result confirms it.`;function d(e){return e&&"object"==typeof e?{approvalUrl:"string"==typeof e.approvalUrl?e.approvalUrl:void 0,requestId:"string"==typeof e.requestId?e.requestId:"string"==typeof e.request_id?e.request_id:void 0}:{}}async function h(e,t,n){let s;try{s=await (0,i.ou)(e,t)}catch(e){return`Base tool error: ${e instanceof Error?e.message:String(e)}`}let r=(s.content??[]).map(e=>e.text).filter(e=>"string"==typeof e&&e.length>0).join("\n").trim().slice(0,1500);if(s.isError)return`Error: ${r||"the Base tool reported a failure."}`;let{approvalUrl:a,requestId:o}=function(e,t){let n=d(e.structuredContent);if(n.approvalUrl||n.requestId)return n;try{let e=d(JSON.parse(t));if(e.approvalUrl||e.requestId)return e}catch{}let i=t.match(/https?:\/\/[^\s"')]+/i),s=t.match(/request[_ ]?id["'
6:\s]+["']?([A-Za-z0-9_-]{6,})/i);return{approvalUrl:i?.[0],requestId:s?.[1]}}(s,r);if(a&&o){if(!n)return"This action needs approval in your Base Account, but no approval UI is available here.";let i=await n({toolName:e,summary:function(e,t){let n=e=>null!=t[e]?String(t[e]):"",i=(...e)=>{for(let n of e)if(null!=t[n])return String(t[n]);return""};if("send"===e)return`Send ${n("amount")} ${n("asset")} to ${n("recipient")} on ${n("chain")||"base"}`.replace(/\s+/g," ").trim();if("swap"===e){let e=i("from","fromAsset","inputAsset","sellToken"),t=i("to","toAsset","outputAsset","buyToken");return`Swap ${n("amount")} ${e} to ${t}`.replace(/\s+/g," ").trim()}if(e.includes("x402"))return`Pay up to ${n("maxPayment")} USDC for ${n("url")}`.trim();if("sign"===e)return"Sign a message in your Base Account";let s=JSON.stringify(t);return`${e} ${s.length>120?s.slice(0,117)+"...":s}`.trim()}(e,t),approvalUrl:a,requestId:o});switch(i.status){case"confirmed":return`SUCCESS: the user approved and signed the ${e} in their Base Account and it has been submitted${i.txHash?` (transaction ${i.txHash})`:""}. Tell the user it is done in plain language${i.txHash?", including the transaction hash":""}. Do NOT call any more tools.`;case"failed":return`The transaction failed${i.detail?`: ${i.detail}`:""}. Tell the user, and do not retry automatically.`;case"rejected":return"The user rejected the transaction in their Base Account. Acknowledge it and do not retry.";case"timeout":return"The approval timed out without confirmation. Tell the user to check their Base Account."}}return r||"Done."}async function c(){let e=await (0,i.JT)();return a=e,(0,r.sm)("discovered tools",e.map(e=>e.name)),{defs:e.map(e=>({name:e.name,description:e.description??`Base onchain tool: ${e.name}`,argsHint:function(e){if(e&&"object"==typeof e){let t=e.properties;if(t&&"object"==typeof t){let n=Array.isArray(e.required)?e.required.map(String):[],i=Object.keys(t).map(e=>n.includes(e)?e:`${e}?`);if(i.length)return`{ ${i.join(", ")} }`}}return"{ ... }"}(e.inputSchema),requiresInternet:!1,requiresOnchain:!0,run:(t,n)=>h(e.name,t,n.onApproval)})),promptAddon:l}}},14513:(e,t,n)=>{n.d(t,{J:()=>C});var i=n(45464),s=n(56186),r=n(85047),a=n(86080),o=n(34131),l=n(52034),d=n(15665),h=n(3283),c=n(54922);let f=[{role:"user",content:"__prxvt_pool_agent_session_open__"}];async function u(e){let t,{stepBudget:n,useMixnet:i,signal:s,onProgress:u}=e,Q=a.jV.sovereignApiUrl,p=((0,o.OQ)(!!i)?await (0,o.Sn)():null)??fetch;u?.({stage:"loading-credential",fraction:.02}),await (0,c.UC)(e=>(0,l.L0)(Q,e,p),(0,l.sU)(Q,p));let g=BigInt(r.uA.M.priceUsdc),I=BigInt(Math.max(1,n))*g,m=await (0,c._0)();if(0===m.length)throw Error("no confidential-pool balance. Deposit first at /buy.");let E=(0,c.pJ)(m,g);if(!E)throw Error(await (0,c.Tr)()>=g?"Your balance is split across deposits; no single note covers an agent run. Make one larger deposit.":"Not enough confidential-pool balance for an agent run. Deposit more at /buy.");let C=BigInt(E.note.value),b=I<C?I:C;if(E.depositTx)try{await (0,l.GQ)(Q,E.depositTx,p)}catch{}u?.({stage:"generating-proof",fraction:.25});let v=()=>(0,l.c9)({apiUrl:Q,note:E.note,request:{messages:f,model:"auto"},withdrawnValue:b,endpoint:"/v1/pool/agent/session/open",fetchImpl:p,prove:d.Qv,onBeforeSubmit:async(e,t)=>{await (0,c.Uq)(e,t),u?.({stage:"submitting",fraction:.85})},...s?{signal:s}:{}});try{t=await v()}catch(i){let e=i instanceof Error?i.message:String(i),n=/not in the server tree|deposit not finalized|pool\/path: 404/i.test(e);if(n&&E.depositTx)try{await (0,l.GQ)(Q,E.depositTx,p),t=await v()}catch{throw Error("Your deposit is still confirming on-chain. Give it a few seconds and try again.")}else if(n)throw Error("Your deposit is still confirming on-chain. Give it a few seconds and try again.");else throw i}try{await (0,c.S4)(t.position?.newLeafIndex)}catch{}(0,h.kI)(Q,p).catch(()=>{});let k=await t.response.json();if("string"!=typeof k.token||"number"!=typeof k.expiresAt||"number"!=typeof k.budgetUsdc||"number"!=typeof k.stepPriceUsdc)throw Error("pool agent session open: malformed server response");return{token:k.token,expiresAt:k.expiresAt,budgetUsdc:k.budgetUsdc,stepPriceUsdc:k.stepPriceUsdc}}let Q=[{name:"doc_read",description:"Search the documents attached to this conversation for relevant passages.",argsHint:'{ "query": "what to look for" }',requiresInternet:!1,async run(e,t){if(t.incognito)return"No documents available in this session.";let i="string"==typeof e.query?e.query:"",{getDocumentContext:s,formatAsSystemPrompt:r}=await Promise.resolve().then(n.bind(n,64e3));return r(await s(t.conversationId,{query:i,maxWords:1200}))||"No relevant passages found in the attached documents."}},{name:"memory_search",description:"Recall relevant facts from past conversations (your saved memory).",argsHint:'{ "query": "what to recall" }',requiresInternet:!1,requiresMemory:!0,async run(e,t){if(t.incognito)return"Memory is disabled in this session.";let i="string"==typeof e.query?e.query:"";if(!i)return"No query provided.";let s=await Promise.resolve().then(n.bind(n,1305)),r=await s.retrieveRelevant(i,3);return 0===r.length?"No relevant memories found.":r.map((e,t)=>`[${t+1}] ${e}`).join("\n")}},{name:"web_search",description:"Search the web for current information (news, weather, facts).",argsHint:'{ "query": "search terms" }',requiresInternet:!0,async run(e,t){if(!t.session)return"Web search is unavailable (no active session).";let i="string"==typeof e.query?e.query:"";if(!i)return"No query provided.";let{agentWebSearch:s}=await Promise.resolve().then(n.bind(n,45464)),{results:r,answer:a}=await s(t.session,i,t.useMixnet);return 0!==r.length||a?((a?`Answer: ${a} 7 8`:"")+r.map((e,t)=>`[${t+1}] ${e.title} 9${e.url} 10${e.snippet}`).join("\n\n")).trim():"No results found."}},{name:"fetch_url",description:"Fetch the readable text of a web page b
10y its URL.",argsHint:'{ "url": "https://..." }',requiresInternet:!0,async run(e,t){if(!t.session)return"Fetch is unavailable (no active session).";let i="string"==typeof e.url?e.url:"";if(!i)return"No URL provided.";let{agentWebFetch:s}=await Promise.resolve().then(n.bind(n,45464)),{text:r}=await s(t.session,i,t.useMixnet);return r.split(/\s+/).filter(Boolean).slice(0,1500).join(" ")||"No readable content at that URL."}}];function p(e){let t=e.trim(),n=function(e){let t=e.indexOf("{");if(-1===t)return null;let n=0,i=!1,s=!1;for(let r=t;r<e.length;r++){let a=e[r];if(i){s?s=!1:"\\"===a?s=!0:'"'===a&&(i=!1);continue}if('"'===a)i=!0;else if("{"===a)n++;else if("}"===a&&0==--n){let n=e.slice(t,r+1);try{return JSON.parse(n)}catch{break}}}return null}(t);if(n&&"string"==typeof n.action){if("final"===n.action)return{kind:"final",text:"string"==typeof n.answer?n.answer:t};let e=n.args&&"object"==typeof n.args&&!Array.isArray(n.args)?n.args:{};return{kind:"tool",name:n.action,args:e}}return{kind:"final",text:t}}async function g(e,t,n,i){let s=i.find(t=>t.name===e);if(!s)throw Error(`unknown or unavailable tool: ${e}`);return s.run(t,n)}var I=n(9206);function m(e){return"string"==typeof e?e:e.filter(e=>"text"===e.type).map(e=>e.text).join("\n")}let E=()=>{};async function C(e){var t;let n,r,a=(t={internetEnabled:"offline"!==e.mode&&e.internetEnabled,memoryEnabled:e.memoryEnabled},Q.filter(e=>(!e.requiresInternet||!!t.internetEnabled)&&(!e.requiresMemory||!!t.memoryEnabled))),o="";if(e.onchainEnabled)try{let e=await (0,I.K)();a.push(...e.defs),o=e.promptAddon}catch{}let l=(0===a.length?"You are an agent. Think step by step. When you are done, reply with your final answer as plain text.":["You are an agent that can use tools. Available tools:",a.map(e=>`- ${e.name}: ${e.description} args: ${e.argsHint}`).join("\n"),'\nTo USE a tool, reply with ONLY a JSON object on its own:\n{"action": "<tool_name>", "args": { ... }}\nTo FINISH, reply with ONLY:\n{"action": "final", "answer": "your answer"}\nYou may also just reply with plain text to finish. Use one tool at a time; you will see its result and can then use another tool or finish.'].join("\n"))+(o?` 11${o}`:""),d=e.messages[0];n=d?.role==="system"?[{role:"system",content:`${m(d.content)} 12 13${l}`},...e.messages.slice(1)]:[{role:"system",content:l},...e.messages];let h=null;"sovereign"===e.mode?(h=await (0,i.Uo)({useMixnet:e.useMixnet,signal:e.signal,onProgress:e.onProgress}),e.onProgress?.(null)):"pool"===e.mode&&(h=await u({stepBudget:e.stepBudget,useMixnet:e.useMixnet,signal:e.signal,onProgress:e.onProgress}),e.onProgress?.(null));let c={conversationId:e.conversationId,incognito:e.incognito,session:h,useMixnet:e.useMixnet,onApproval:e.onApproval},f=async t=>{if("offline"===e.mode){let n=t.map(e=>({role:"tool"===e.role?"user":e.role,content:m(e.content)}));return(0,s.f)({localModelId:e.model,messages:n,onToken:E,onPhase:t=>e.onProgress?.("preparing"===t?{stage:"loading-credential",fraction:.5}:null),signal:e.signal})}return(0,i.Mz)({session:h,messages:t,model:e.model,useMixnet:e.useMixnet,signal:e.signal})},C=async(t,n)=>e.redactor?f(await e.redactor.redact(t,n)):f(t),b=t=>e.redactor?e.redactor.rehydrate(t):t,v=0,k="",x=0,y=[],K="offline"===e.mode?Math.min(e.stepBudget,2):e.stepBudget,F=n.filter(e=>"user"===e.role).map(e=>m(e.content)).filter(Boolean);for(;v<K;){let t,s;if(e.signal?.aborted)break;v++,e.onStep?.({index:v,kind:"thinking"});try{t=await C(n,F)}catch(e){if(e instanceof i.f9)break;throw e}k=t;let r=p(t);if("final"===r.kind){let t=b(r.text);return e.onStep?.({index:v,kind:"final",text:t}),e.onToken?.(t),t}e.onStep?.({index:v,kind:"tool",toolName:r.name,toolArgs:r.args});try{s=await g(r.name,r.args,c,a),x=0}catch(e){if(++x>2)break;s=`Tool error: ${e instanceof Error?e.message:String(e)}`}y.push({name:r.name,result:s}),e.onStep?.({index:v,kind:"tool",toolName:r.name,toolArgs:r.args,toolResult:s});let o=K-v<=1?"\n\nYou are out of tool steps. Now write your FINAL answer to the original question in plain text â do NOT call another tool.":"\n\nIf this is enough to answer the question, reply with your final answer now instead of using another tool.";n=[...n,{role:"assistant",content:t},{role:"user",content:`Tool ${r.name} result: 14${s}${o}`}
14],F=[t,s].filter(Boolean)}let V=p(k);if("final"===V.kind&&V.text.trim())r=V.text;else{let t="";if(!e.signal?.aborted)try{let e=await C([...n,{role:"user",content:"You have gathered enough information. Do NOT use any more tools. Write the final answer to my original question now, in plain prose (no JSON). Cite sources inline where useful."}],F),i=p(e);"final"===i.kind&&i.text.trim()&&(t=i.text)}catch{}r=t||function(e){let t=e.filter(e=>"web_search"===e.name);if(0===t.length)return null;let n=[],i=[];for(let e of t){let t=/^Answer:\s*([\s\S]*?)(?:\n\n|$)/.exec(e.result.trim());for(let s of(t?.[1]?.trim()&&!n.includes(t[1].trim())&&n.push(t[1].trim()),e.result.matchAll(/\[\d+\]\s*(.+)\n(https?:\/\/\S+)/g))){let e=`- [${s[1].trim()}](${s[2].trim()})`;i.includes(e)||i.push(e)}}if(0===n.length&&0===i.length)return null;let s=n.length?n.join("\n\n"):"Here is what I found from a web search:",r=i.length?` 15 16**Sources** 17${i.slice(0,6).join("\n")}`:"";return`${s}${r}`}(y)||"I couldn't finish that with the tools available."}let U=b(r);return e.onStep?.({index:v,kind:"final",text:U}),e.onToken?.(U),U}},25725:(e,t,n)=>{n.d(t,{n:()=>C});var i=n(23292),s=n(97584),r=n(20608),a=n(65729),o=n(77501),l=n(28466),d=n(47852),h=n(9206),c=n(90354),f=n(65584);let u=["confirmed","completed","complete","success","succeeded","executed","settled","done","filled","mined"],Q=["submitted","broadcast","broadcasted","processing","pending_confirmation","in_flight","sent","queued"],p=["failed","failure","error","reverted","expired"],g=["rejected","denied","cancelled","canceled","declined"];async function I(e,t={}){c.S.getState().begin();try{let n,i=Date.now()+(t.timeoutMs??3e5),s=1500,r=0,a=(0,h._)();(0,f.sm)("status tool",{name:a.name,argKey:a.argKey});let o={[a.argKey]:e};for(;Date.now()<i;){if(t.signal?.aborted)return{status:"rejected",detail:"cancelled"};let e=null;try{e=await (0,d.ou)(a.name,o)}catch(e){(0,f.sm)("status error",`${a.name}: ${e instanceof Error?e.message:String(e)}`)}if(e){let i=function(e){let t=(e.content??[]).map(e=>e.text).filter(e=>"string"==typeof e).join("\n"),n="";if(e.structuredContent&&"object"==typeof e.structuredContent){let t=e.structuredContent;n=String(t.status??t.state??"").toLowerCase()}let i=`${t} 18${function(e){try{return JSON.stringify(e)}catch{return""}}(e.structuredContent)}`,s=i.toLowerCase(),r=n||s,a=i.match(/0x[a-fA-F0-9]{64}/)?.[0]||void 0,o=(n||s).slice(0,80);return g.some(e=>r.includes(e))?{state:"rejected",raw:o}:p.some(e=>r.includes(e))?{state:"failed",raw:o}:u.some(e=>r.includes(e))||a?{state:"confirmed",txHash:a,raw:o}:Q.some(e=>r.includes(e))?{state:"submitted",txHash:a,raw:o}:{state:"pending",txHash:a,raw:o}}(e);if(i.txHash&&(n=i.txHash),(0,f.sm)("status",{phase:i.state,raw:i.raw,txHash:i.txHash}),t.onUpdate?.({phase:i.state,txHash:i.txHash,raw:i.raw}),"confirmed"===i.state)return{status:"confirmed",txHash:i.txHash??n};if("failed"===i.state)return{status:"failed",detail:i.detail};if("rejected"===i.state)return{status:"rejected"};if("submitted"===i.state&&++r>=3)return{status:"confirmed",txHash:n,detail:"submitted"}}await function(e,t){return new Promise(n=>{let i=setTimeout(n,e);t?.addEventListener("abort",()=>{clearTimeout(i),n()},{once:!0})})}(s,t.signal),s=Math.min(Math.round(1.5*s),6e3)}return{status:"timeout",txHash:n}}finally{c.S.getState().end()}}var m=n(15801);function E(e){if("confirmed"===e.status){var t;m.o.success("Transaction approved",(t=e.txHash)?`${t.slice(0,10)}â¦${t.slice(-6)}`:void 0)}else"failed"===e.status?m.o.error("Transaction failed",e.detail):"timeout"===e.status&&m.o.info("Still pending","Check your Base Account for the status.")}function C(){let e=(0,l.V)(e=>e.pending),t=(0,l.V)(e=>e.settle),n=(0,s.useRef)(null),d=e?.req.requestId,[h,c]=(0,s.useState)("pending"),[u]=(0,s.useState)(()=>(0,f.MN)()),Q=(0,f.sI)(e=>e.lines);if((0,s.useEffect)(()=>{if(!d)return;c("pending");let e=new AbortController;return n.current=e,(async()=>{let n=await I(d,{signal:e.signal,onUpdate:e=>c(e.phase)});e.signal.aborted||(E(n),t(n))})(),()=>e.abort()},[d,t]),!e)return null;let{req:p}=e;return(0,i.jsx)("div",{className:"mx-auto mb-3 w-full max-w-3xl px-3 md:px-4",children:(0,i.jsxs)("div",{className:"rounded-xl border border-[#0000ff]/50 bg-[var(--bg-raised)] p-3 shadow-[var(--shadow-sm)]",children:[(0,i.jsxs)("div",{className:"flex items-center gap-2",children:[(0,i.jsx)(r.A,{className:"h-4 w-4 text-[#0000ff]"}),(0,i.jsx)("span",{className:"text-sm font-medium",children:"Approve this onchain action"})]}),(0,i.jsx)("p",{className:"mt-1.5 break-words text-sm text-ink-600 dark:text-ink-300",children:p.summary}),(0,i.jsx)("p",{className:"mt-1 text-xs text-ink-400",children:"You approve and sign in your own Base Account. PRXVT never holds your keys."}),(0,i.jsxs)("div",{className:"mt-3 flex flex-wrap items-center gap-2",children:[(0,i.jsxs)("a",{href:p.approvalUrl,target:"_blank",rel:"noreferrer",className:"inline-flex items-center gap-1.5 rounded-md bg-ink-900 px-3 py-1.5 text-sm font-medium text-ink-50 hover:bg-ink-800 dark:bg-ink-100 dark:text-ink-900 dark:hover:bg-ink-200",children:["Open Base Account",(0,i.jsx)(a.A,{className:"h-3.5 w-3.5"})]}),(0,i.jsx)("button",{type:"button",onClick:()=>{n.current?.abort();
18let e={status:"confirmed",detail:"manual"};E(e),t(e)},className:"rounded-md border border-ink-200 px-3 py-1.5 text-sm font-medium text-ink-700 hover:bg-ink-100 dark:border-ink-700 dark:text-ink-200 dark:hover:bg-ink-800",children:"I approved it"}),(0,i.jsx)("button",{type:"button",onClick:()=>{n.current?.abort(),t({status:"rejected",detail:"cancelled"})},className:"rounded-md px-3 py-1.5 text-sm text-ink-500 hover:bg-ink-100 hover:text-ink-700 dark:hover:bg-ink-800 dark:hover:text-ink-200",children:"Cancel"}),(0,i.jsxs)("span",{className:"ml-auto inline-flex items-center gap-1.5 text-xs text-ink-500",children:[(0,i.jsx)(o.A,{className:"h-3.5 w-3.5 animate-spin"}),function(e){switch(e){case"submitted":return"Submitted, confirmingâ¦";case"confirmed":return"Confirmed";case"failed":return"Failed";case"rejected":return"Rejected";default:return"Waiting for approvalâ¦"}}(h)]})]}),u&&(0,i.jsxs)("details",{className:"mt-3 text-[11px] text-ink-400",children:[(0,i.jsx)("summary",{className:"cursor-pointer select-none",children:"Diagnostics (debug)"}),(0,i.jsx)("div",{className:"mt-1 flex justify-end",children:(0,i.jsx)("button",{type:"button",onClick:()=>void navigator.clipboard?.writeText(Q.join("\n")),className:"rounded border border-ink-200 px-2 py-0.5 hover:bg-ink-100 dark:border-ink-700 dark:hover:bg-ink-800",children:"Copy"})}),(0,i.jsx)("pre",{className:"mt-1 max-h-48 overflow-auto whitespace-pre-wrap break-all rounded bg-ink-950/5 p-2 dark:bg-ink-50/5",children:Q.join("\n")||"No diagnostics captured yet."})]})]})})}},26641:(e,t,n)=>{n.d(t,{M:()=>et});var i=n(23292),s=n(97584),r=n(94801),a=n(59073),o=n(25226),l=n(74493),d=n(32635),h=n(13931),c=n(94606),f=n(32456),u=n(71143),Q=n(53251),p=n(98563),g=n(33868),I=n(15188),m=n(69730),E=n(79731),C=n(55716),b=n(32883),v=n(17531);function k(e){try{return JSON.stringify(JSON.parse(e),null,2)}catch{return e}}function x({call:e}){let[t,n]=(0,s.useState)(!1);return(0,i.jsxs)("div",{className:"my-2 overflow-hidden rounded-xl border border-ink-200 bg-[var(--bg-subtle)] text-sm dark:border-ink-700",children:[(0,i.jsxs)("button",{type:"button",onClick:()=>n(e=>!e),className:(0,v.cn)("flex w-full items-center gap-2 px-3 py-2 text-left","hover:bg-ink-100/50 dark:hover:bg-ink-800/50"),children:[(0,i.jsx)(C.A,{className:"h-3.5 w-3.5 text-ink-500 dark:text-ink-400"}),(0,i.jsx)("span",{className:"font-mono text-xs",children:e.name}),(0,i.jsxs)("span",{className:"ml-auto inline-flex items-center gap-1 text-[10px] uppercase tracking-wider text-ink-400",children:["tool call",(0,i.jsx)(b.A,{className:(0,v.cn)("h-3 w-3 transition-transform",t&&"rotate-180")})]})]}),t&&(0,i.jsxs)("div",{className:"space-y-3 border-t border-ink-200 p-3 dark:border-ink-700",children:[(0,i.jsxs)("div",{children:[(0,i.jsx)("p",{className:"mb-1 text-[10px] font-semibold uppercase tracking-wider text-ink-400",children:"Arguments"}),(0,i.jsx)("pre",{className:"overflow-x-auto rounded-md bg-[var(--bg)] p-2 font-mono text-xs leading-relaxed",children:k(e.arguments)})]}),void 0!==e.result&&(0,i.jsxs)("div",{children:[(0,i.jsx)("p",{className:"mb-1 text-[10px] font-semibold uppercase tracking-wider text-ink-400",children:"Result"}),(0,i.jsx)("pre",{className:"overflow-x-auto rounded-md bg-[var(--bg)] p-2 font-mono text-xs leading-relaxed",children:k(e.result)})]})]})]})}var y=n(50894),K=n(41362),F=n(81113),V=n(60519);function U({text:e,className:t}){let[n,r]=(0,s.useState)(!1),[a,o]=(0,s.useState)(!1),l=(0,V.Y)(e=>e.revealAll)||n||a,d=(0,s.useRef)("");d.current.length!==e.length&&(d.current=(0,F.PN)(e));let[h,c]=(0,s.useState)(e);return(0,s.useEffect)(()=>{let t=l?e:d.current;if(h===t)return;let n=(0,F._b)(h,t,c);return()=>n.cancel()},[l]),(0,i.jsxs)("span",{onMouseEnter:()=>o(!0),onMouseLeave:()=>o(!1),className:(0,v.cn)("relative inline-flex items-start gap-2",t),children:[(0,i.jsx)("span",{className:(0,v.cn)("whitespace-pre-wrap break-words font-mono tabular-nums transition-opacity duration-200",l?"opacity-100":"opacity-70"),"aria-label":l?e:"encrypted message",children:h}),(0,i.jsx)("button",{type:"button",onClick:e=>{e.stopPropagation(),r(e=>!e)},"aria-label":n?"Hide plaintext":"Reveal plaintext",title:n?"Hide":"Reveal",className:(0,v.cn)("mt-0.5 shrink-0 rounded-md p-0.5 transition-opacity",n?"opacity-90":"opacity-40 hover:opacity-90 focus-visible:opacity-90"),children:l?(0,i.jsx)(y.A,{className:"h-3 w-3"}):(0,i.jsx)(K.A,{className:"h-3 w-3"})})]})}var S=n(60412);let B=/^(https?:|mailto:|tel:|ircs?:|xmpp:)/i,q=/^data:image\/(png|jpeg|gif|webp|svg\+xml);base64,/i;function A(e){return e.startsWith("#")||e.startsWith("/")||e.startsWith(".")||B.test(e)||q.test(e)?e:""}function H({node:e,children:t}
18){let n=(0,s.useRef)(null),[r,a]=(0,s.useState)(!1),o=function(e){if("object"!=typeof e||null===e)return null;let t=e.children;if(!Array.isArray(t))return null;for(let e of t){if("object"!=typeof e||null===e||"code"!==e.tagName)continue;let t=e.properties?.className;if(!Array.isArray(t))break;let n=t.map(String).find(e=>e.startsWith("language-"));return n&&n.slice(9)||null}return null}(e);async function l(){let e=n.current?.textContent??"";if(e){try{await navigator.clipboard.writeText(e)}catch{return}a(!0),setTimeout(()=>a(!1),1600)}}return(0,i.jsxs)("div",{className:"group relative",children:[(0,i.jsxs)("div",{className:(0,v.cn)("pointer-events-none absolute right-2 top-2 z-10 flex items-center gap-1.5","opacity-100 transition-opacity md:opacity-0 md:group-hover:opacity-100",r&&"md:opacity-100"),children:[o&&(0,i.jsx)("span",{className:"select-none rounded bg-[var(--bg-raised)]/80 px-1.5 py-0.5 font-mono text-[10px] uppercase tracking-wider text-ink-400",children:o}),(0,i.jsx)("button",{type:"button",onClick:()=>void l(),"aria-label":r?"Copied":"Copy code",title:r?"Copied":"Copy code",className:"pointer-events-auto flex h-7 w-7 items-center justify-center rounded-md border border-ink-200 bg-[var(--bg-raised)] text-ink-500 transition-colors hover:text-ink-900 dark:border-ink-700 dark:text-ink-400 dark:hover:text-ink-50",children:r?(0,i.jsx)(u.A,{className:"h-3.5 w-3.5"}):(0,i.jsx)(g.A,{className:"h-3.5 w-3.5"})})]}),(0,i.jsx)("pre",{ref:n,children:t})]})}function R(e){return"string"==typeof e?e:e.filter(e=>"text"===e.type).map(e=>e.text).join("\n\n")}function D({message:e,streaming:t,isLastAssistant:n,onEdit:r,onRegenerate:a}){var o;let l="user"===e.role,h="assistant"===e.role,c="tool"===e.role,[f,u]=(0,s.useState)(!1),[Q,p]=(0,s.use
18State)(R(e.content)),[g,I]=(0,s.useState)(null),m=(0,V.Y)(e=>e.proofProgress),E=R(e.content),C="string"==typeof(o=e.content)?[]:o.filter(e=>"image_url"===e.type).map(e=>e.image_url.url),b=h&&!!e.reasoning,k=t&&h&&null!==m&&0===E.length&&!b;return c?null:(0,i.jsxs)("div",{className:(0,v.cn)("group mx-auto flex w-full max-w-3xl gap-3 px-3 py-5 md:px-4 rise-in",l&&"justify-end"),children:[h&&(k?(0,i.jsx)(Z,{}):(0,i.jsx)(ee,{})),(0,i.jsx)("div",{className:(0,v.cn)("min-w-0 max-w-[85%]",l&&"order-1"),children:f&&l?(0,i.jsxs)("div",{className:"space-y-2 rounded-2xl border border-ink-300 bg-[var(--bg-raised)] p-3 shadow-[var(--shadow-sm)] dark:border-ink-600",children:[(0,i.jsx)("textarea",{value:Q,onChange:e=>p(e.target.value),rows:Math.min(10,Math.max(3,Q.split("\n").length)),className:"w-full resize-none bg-transparent text-[15px] leading-relaxed outline-none",autoFocus:!0}),(0,i.jsxs)("div",{className:"flex justify-end gap-2",children:[(0,i.jsx)("button",{onClick:()=>{u(!1),p(R(e.content))},className:"rounded-md px-3 py-1 text-xs text-ink-400 hover:text-ink-900 dark:hover:text-ink-100",children:"Cancel"}),(0,i.jsx)("button",{onClick:()=>{r?.(Q),u(!1)},disabled:!Q.trim()||Q===R(e.content),className:"rounded-md bg-ink-900 px-3 py-1 text-xs font-medium text-ink-50 hover:brightness-110 disabled:opacity-40 dark:bg-ink-100 dark:text-ink-900",children:"Save & regenerate"})]})]}):(0,i.jsxs)(i.Fragment,{children:[C.length>0&&(0,i.jsx)("div",{className:(0,v.cn)("mb-2 flex flex-wrap gap-2",l&&"justify-end"),children:C.map((e,t)=>(0,i.jsx)("button",{type:"button",onClick:()=>I(e),className:"group/img relative h-32 w-32 overflow-hidden rounded-lg border border-ink-200 bg-[var(--bg)] transition-transform hover:scale-[1.02] dark:border-ink-700",children:(0,i.jsx)("img",{src:e,alt:"",className:"h-full w-full object-cover"})},t))}),(0,i.jsxs)("div",{className:(0,v.cn)("prose-chat",l&&E.length>0&&"rounded-2xl rounded-br-md bg-ink-900 px-4 py-2.5 text-ink-50 dark:bg-ink-100 dark:text-ink-900"),children:[h&&e.toolCalls&&e.toolCalls.length>0&&(0,i.jsx)("div",{className:"mb-2",children:e.toolCalls.map(e=>(0,i.jsx)(x,{call:e},e.id))}),k?(0,i.jsx)(z,{progress:m}):l?E?(0,i.jsx)(U,{text:E}):null:E.length>0||b?(0,i.jsx)(J,{text:E,streaming:!0===t,...e.reasoning?{reasoning:e.reasoning}:{}}):null,t&&h&&!k&&E.length>0&&(0,i.jsx)(M,{}),h&&e.error&&(0,i.jsx)(w,{message:e.error,onRetry:a})]}),h&&e.consensus&&e.consensus.points.length>0&&(0,i.jsx)(X,{consensus:e.consensus}),!t&&!e.error&&(0,i.jsx)(_,{message:e,onCopy:()=>navigator.clipboard.writeText(R(e.content)),onEdit:l?()=>u(!0):void 0,onRegenerate:h&&n?a:void 0})]})}),g&&(0,i.jsxs)("div",{onClick:()=>I(null),className:"fade-in fixed inset-0 z-[90] flex items-center justify-center bg-ink-950/80 p-6 backdrop-blur-sm",children:[(0,i.jsx)("button",{onClick:()=>I(null),"aria-label":"Close",className:"absolute right-4 top-4 flex h-9 w-9 items-center justify-center rounded-full bg-ink-900/80 text-ink-100 hover:bg-ink-900",children:(0,i.jsx)(d.A,{className:"h-4 w-4"})}),(0,i.jsx)("img",{src:g,alt:"",onClick:e=>e.stopPropagation(),className:"max-h-full max-w-full rounded-lg object-contain shadow-[var(--shadow-lg)]"})]})]})}function J({text:e,streaming:t,reasoning:n}){let{reasoning:r,response:d}=(0,s.useMemo)(()=>(function(e){let t="",n=e;for(let i of e.matchAll(/<think>([\s\S]*?)<\/think>/g))t+=(t?"\n\n":"")+i[1].trim(),n=n.replace(i[0],"");let i=n.indexOf("<think>");return -1!==i&&(t+=(t?"\n\n":"")+n.slice(i+7).trim(),n=n.slice(0,i)),{reasoning:t.trim(),response:n.trim()}})(e),[e]),h=[n?.trim(),r].filter(e=>!!e).join("\n\n");return(0,i.jsxs)(i.Fragment,{children:[h.length>0&&(0,i.jsx)(N,{text:h,thinking:t&&0===d.length}),d.length>0&&(0,i.jsx)(a.oz,{remarkPlugins:[o.A],rehypePlugins:[l.A],urlTransform:A,components:{pre:H},children:d})]})}function N({text:e,thinking:t}){let[n,r]=(0,s.useState)(!1),l=(0,s.useRef)(null);return(0,s.useEffect)(()=>{if(!t||n)return;let e=l.current;e&&(e.scrollTop=e.scrollHeight)},[e,t,n]),(0,i.jsxs)("div",{className:"mb-2 rounded-md border border-ink-200/70 bg-ink-50/40 px-3 py-1.5 text-xs text-ink-500 dark:border-ink-800/70 dark:bg-ink-900/30 dark:text-ink-400",children:[(0,i.jsxs)("button",{type:"button",onClick:()=>r(e=>!e),"aria-expanded":n,className:"flex w-full select-none items-center gap-1 text-left text-[11px] font-semibold uppercase tracking-[0.15em] text-ink-500 transition-colors hover:text-ink-700 dark:text-ink-400 dark:hover:text-ink-200",children:[(0,i.jsx)(h.A,{className:(0,v.cn)("h-3 w-3 shrink-0 transition-transform",n&&"rotate-90")}),t?(0,i.jsx)("span",{className:"animate-pulse",children:"Thinking"}):(0,i.jsx)("span",{children:"Reasoning"})]}),n?(0,i.jsx)(a.oz,{remarkPlugins:[o.A],urlTransform:A,children:e}
18):t?(0,i.jsx)("div",{ref:l,"aria-hidden":!0,className:"mt-1 max-h-[2.3em] overflow-hidden whitespace-pre-wrap break-words font-mono text-[11px] leading-[1.15em] text-ink-400 [mask-image:linear-gradient(to_bottom,transparent,black_60%)] dark:text-ink-500",children:e}):null]})}function w({message:e,onRetry:t}){return(0,i.jsxs)("div",{className:"mt-2 flex flex-wrap items-center gap-x-3 gap-y-1.5 rounded-md border border-ink-200 bg-ink-50/60 px-3 py-2 text-xs dark:border-ink-800 dark:bg-ink-900/40",children:[(0,i.jsxs)("span",{className:"flex items-center gap-1.5 text-ink-600 dark:text-ink-300",children:[(0,i.jsx)(c.A,{className:"h-3.5 w-3.5 shrink-0"}),(0,i.jsx)("span",{className:"break-words",children:e})]}),t&&(0,i.jsxs)("button",{type:"button",onClick:t,className:"flex items-center gap-1 rounded px-1.5 py-0.5 font-medium text-ink-700 transition-colors hover:bg-ink-200/60 hover:text-ink-900 dark:text-ink-200 dark:hover:bg-ink-800 dark:hover:text-ink-50",children:[(0,i.jsx)(f.A,{className:"h-3 w-3"}),"Retry"]})]})}function O(e,t){return e.agreedBy.includes(t)?"agree":e.dissent?.by.includes(t)?"differ":"absent"}function Y({label:e,stance:t}){let n="agree"===t?u.A:"differ"===t?d.A:Q.A;return(0,i.jsxs)("span",{className:(0,v.cn)("inline-flex items-center gap-1 rounded-full border px-1.5 py-0.5 text-[10.5px] font-medium leading-none",{agree:"border-emerald-500/30 bg-emerald-500/10 text-emerald-700 dark:text-emerald-300",differ:"border-amber-500/40 bg-amber-500/10 text-amber-700 dark:text-amber-300",absent:"border-ink-200 bg-transparent text-ink-400 dark:border-ink-700 dark:text-ink-500"}[t],"absent"===t&&"opacity-70"),children:[(0,i.jsx)(n,{className:"h-2.5 w-2.5 shrink-0"}),e]})}function X({consensus:e}){var t,n;let s=(t=e.alignment)>=70?{bar:"bg-emerald-500",text:"text-emerald-600 dark:text-emerald-400"}:t>=45?{bar:"bg-amber-500",text:"text-amber-600 dark:text-amber-400"}
18:{bar:"bg-rose-500",text:"text-rose-600 dark:text-rose-400"},r=Math.max(3,Math.min(100,e.alignment));return(0,i.jsxs)("details",{className:"not-prose mt-2.5 overflow-hidden rounded-xl border border-ink-200 bg-[var(--bg-raised)] text-ink-700 shadow-[var(--shadow-xs)] dark:border-ink-800 dark:text-ink-200",children:[(0,i.jsxs)("summary",{className:"flex cursor-pointer select-none items-center gap-2 px-3 py-2.5 text-xs marker:content-['']",children:[(0,i.jsx)(p.A,{className:"h-3.5 w-3.5 shrink-0 text-ink-400"}),(0,i.jsx)("span",{className:"font-medium text-ink-700 dark:text-ink-200",children:"Model consensus"}),(0,i.jsx)("span",{className:(0,v.cn)("font-medium tabular-nums",s.text),children:(n=e.alignment)>=80?"Strong agreement":n>=60?"Mostly agree":n>=40?"Mixed views":"Divided"}),(0,i.jsxs)("span",{className:"ml-auto flex items-center gap-2",children:[(0,i.jsx)("span",{className:"h-1.5 w-14 overflow-hidden rounded-full bg-ink-200 dark:bg-ink-800",children:(0,i.jsx)("span",{className:(0,v.cn)("block h-full rounded-full transition-all",s.bar),style:{width:`${r}%`}})}),(0,i.jsxs)("span",{className:"tabular-nums text-ink-400",children:[e.alignment,"%"]})]})]}),(0,i.jsxs)("div",{className:"space-y-2 border-t border-ink-200/70 px-3 py-2.5 dark:border-ink-800/70",children:[e.summary&&(0,i.jsx)("p",{className:"text-[11.5px] leading-snug text-ink-500 dark:text-ink-400",children:e.summary}),e.points.map((t,n)=>(0,i.jsx)(T,{point:t,models:e.models},n)),(0,i.jsx)("p",{className:"flex items-center gap-1 pt-0.5 text-[10px] leading-snug text-ink-400 dark:text-ink-500",children:"A separate model weighed each draft to map where the panel landed. A guide, not a guarantee."})]})]})}function T({point:e,models:t}){let n=[...t].sort((t,n)=>j(O(e,t))-j(O(e,n)));return(0,i.jsxs)("div",{className:"rounded-lg bg-ink-50/60 px-2.5 py-2 dark:bg-ink-900/40",children:[(0,i.jsx)("p",{className:"text-[12.5px] leading-snug text-ink-700 dark:text-ink-100",children:e.text}),(0,i.jsx)("div",{className:"mt-1.5 flex flex-wrap items-center gap-1",children:n.map(t=>(0,i.jsx)(Y,{label:t,stance:O(e,t)},t))}),e.dissent?.note&&e.dissent.by.length>0&&(0,i.jsxs)("p",{className:"mt-1 text-[11px] leading-snug text-amber-700/90 dark:text-amber-300/90",children:[e.dissent.by.join(", ")," differ: ",e.dissent.note]})]})}function j(e){return"agree"===e?0:"differ"===e?1:2}let W=["Anonymizing","Cloaking your request","Mixing entropy","Shuffling through Nym","Zero-knowledging","Forgetting metadata","Hashing receipts","Nullifying nullifiers","Vanishing into the anonymity set","Proving nothing (verifiably)","Witnessing without watching","Salting nonces","Veiling the request","Sealing the envelope","Threading the mixnet","Quietly computing","Erasing footprints","Folding Merkle branches","Plausibly denying","Disappearing from the logs","Scrambling identifiers","Composing commitments","Whispering through hops","Untracing","Tokenless and proud","Privately consulting the oracle","Snipping the audit trail","Walking the Merkle tree"],P=["Consulting frontier models","Weighing their reasoning","Fusing the best answer"],G=["Forming a response","Reasoning deeply","Orchestrating sub-agents","Converging on an answer"];function L(){let[e,t]=(0,s.useState)(1);return(0,s.useEffect)(()=>{let e=window.setInterval(()=>{t(e=>e%3+1)},420);return()=>window.clearInterval(e)},[]),(0,i.jsxs)("span",{"aria-hidden":!0,className:"inline-block",children:[(0,i.jsx)("span",{className:e>=1?"":"opacity-0",children:"."}),(0,i.jsx)("span",{className:e>=2?"":"opacity-0",children:"."}),(0,i.jsx)("span",{className:e>=3?"":"opacity-0",children:"."})]})}function z({progress:e}){let[t,n]=(0,s.useState)(0);(0,s.useEffect)(()=>{let e=performance.now(),t=window.setInterval(()=>n(performance.now()-e),250);return()=>window.clearInterval(t)},[]);let r=function(){let[e]=(0,s.useState)(()=>W[Math.floor(Math.random()*W.length)]);return e}(),a=(0,S.t)(e=>e.model),o="prxvt-moa"===a,l="fugu"===a||"fugu-ultra"===a,d=o?P:l?G:null,[h,c]=(0,s.useState)(0);(0,s.useEffect)(()=>{if(!d)return;let e=window.setInterval(()=>c(e=>(e+1)%d.length),2400);return()=>window.clearInterval(e)},[d]);
18let[f,u]=(0,s.useState)(!1);return(0,s.useEffect)(()=>{if(u(!1),"submitting"!==e.stage)return;let t=window.setTimeout(()=>u(!0),15e3);return()=>window.clearTimeout(t)},[e.stage]),(0,i.jsxs)("div",{className:"not-prose inline-flex max-w-full flex-col gap-1 rounded-xl border border-ink-200 bg-[var(--bg-raised)] px-3 py-2.5 dark:border-ink-800",children:[(0,i.jsxs)("div",{className:"flex min-w-0 flex-col",children:[(0,i.jsxs)("span",{className:"text-sm font-medium tabular-nums text-ink-200",children:[d?d[h]:r,(0,i.jsx)(L,{})]}),(0,i.jsxs)("span",{className:"truncate text-[11px] text-ink-400 tabular-nums",children:[function(e){let t=Math.floor(e/1e3);if(t<60)return`${t}s`;let n=Math.floor(t/60);return`${n}m ${(t%60).toString().padStart(2,"0")}s`}(t)," elapsed"]})]}),o?(0,i.jsx)("p",{className:"mt-1 max-w-xs text-[11px] leading-snug text-ink-400",children:"The top frontier models are answering in parallel; PRXVT then judges and fuses their strongest reasoning into one sharper answer. Worth the short wait."}):l?(0,i.jsx)("p",{className:"mt-1 max-w-xs text-[11px] leading-snug text-ink-400",children:"Fugu reasons deeply and orchestrates several internal agents before it answers, so the first words can take a minute. It's working, not stuck."}):f&&(0,i.jsx)("p",{className:"mt-1 max-w-xs text-[11px] leading-snug text-ink-400",children:"Model is taking a while to start responding. This is usually a reasoning model thinking, a content-filter pause, or a request the model can't handle (e.g. image generation, only text models are wired up)."})]})}function Z(){return(0,i.jsxs)("div",{className:"relative h-9 w-9 shrink-0",children:[(0,i.jsxs)("svg",{viewBox:"0 0 36 36",className:"absolute inset-0 h-full w-full animate-spin text-ink-300 dark:text-ink-500",style:{animationDuration:"1.6s"},"aria-hidden":!0,children:[(0,i.jsx)("circle",{cx:"18",cy:"18",r:"17",fill:"none",stroke:"currentColor",strokeOpacity:"0.18",strokeWidth:"1.5"}),(0,i.jsx)("circle",{cx:"18",cy:"18",r:"17",fill:"none",stroke:"currentColor",strokeWidth:"1.5",strokeLinecap:"round",strokeDasharray:"22 100"})]}),(0,i.jsx)("div",{className:"absolute left-1/2 top-1/2 flex h-7 w-7 -translate-x-1/2 -translate-y-1/2 items-center justify-center overflow-hidden rounded-full bg-[var(--bg-raised)]",children:(0,i.jsx)("img",{src:"/favicon-32x32.png",alt:"",draggable:!1,className:"h-full w-full select-none object-cover"})})]})}function M(){return(0,i.jsxs)("span",{className:"ml-1 inline-flex items-center gap-0.5 align-middle",children:[(0,i.jsx)("span",{className:"h-1 w-1 animate-pulse rounded-full bg-current opacity-50",style:{animationDelay:"0ms"}}),(0,i.jsx)("span",{className:"h-1 w-1 animate-pulse rounded-full bg-current opacity-50",style:{animationDelay:"150ms"}}),(0,i.jsx)("span",{className:"h-1 w-1 animate-pulse rounded-full bg-current opacity-50",style:{animationDelay:"300ms"}})]})}function _({message:e,onCopy:t,onEdit:n,onRegenerate:r}
18){let[a,o]=(0,s.useState)(!1),[l,d]=(0,s.useState)(e.rating??0),h="user"===e.role;return(0,i.jsxs)("div",{className:(0,v.cn)("mt-1.5 flex items-center gap-0.5 text-ink-400 opacity-100 transition-opacity md:opacity-0 md:group-hover:opacity-100",h&&"justify-end"),children:[(0,i.jsx)($,{label:"Copy",onClick:()=>{t(),o(!0),setTimeout(()=>o(!1),1400)},children:a?(0,i.jsx)(u.A,{className:"h-3.5 w-3.5"}):(0,i.jsx)(g.A,{className:"h-3.5 w-3.5"})}),n&&(0,i.jsx)($,{label:"Edit",onClick:n,children:(0,i.jsx)(I.A,{className:"h-3.5 w-3.5"})}),r&&(0,i.jsx)($,{label:"Regenerate",onClick:r,children:(0,i.jsx)(f.A,{className:"h-3.5 w-3.5"})}),!h&&(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)($,{label:"Good response",active:1===l,onClick:()=>d(+(1!==l)),children:(0,i.jsx)(m.A,{className:"h-3.5 w-3.5"})}),(0,i.jsx)($,{label:"Poor response",active:-1===l,onClick:()=>d(-1===l?0:-1),children:(0,i.jsx)(E.A,{className:"h-3.5 w-3.5"})})]})]})}function $({label:e,active:t,onClick:n,children:s}){return(0,i.jsx)("button",{type:"button",onClick:n,"aria-label":e,title:e,className:(0,v.cn)("flex h-7 w-7 items-center justify-center rounded-md transition-colors",t?"bg-ink-100 text-ink-900 dark:bg-ink-800 dark:text-ink-100":"hover:bg-ink-100 hover:text-ink-900 dark:hover:bg-ink-800 dark:hover:text-ink-100"),children:s})}function ee(){return(0,i.jsx)("div",{className:"flex h-7 w-7 shrink-0 items-center justify-center overflow-hidden rounded-full bg-[var(--bg-raised)] ring-1 ring-ink-200 shadow-[var(--shadow-xs)] dark:ring-ink-700",children:(0,i.jsx)("img",{src:"/favicon-32x32.png",alt:"PRXVT",draggable:!1,className:"h-full w-full select-none object-cover"})})}function et({onEdit:e,onRegenerate:t}){let n=(0,V.Y)(e=>e.messages),a=(0,V.Y)(e=>e.streaming),o=(0,s.useRef)(null),l=(0,s.useRef)(!0),[d,h]=(0,s.use
18State)(!1),c=(0,s.useRef)(n.length),f=(0,s.useCallback)(e=>{let t=o.current;t&&t.scrollTo({top:t.scrollHeight,behavior:e?"smooth":"auto"})},[]);(0,s.useEffect)(()=>{let e=n.length>c.current,t=n[n.length-1];c.current=n.length,e&&t?.role==="user"&&(l.current=!0,h(!1)),l.current&&f(!1)},[n,a,f]);let u=-1;for(let e=n.length-1;e>=0;e--)if("assistant"===n[e].role){u=e;break}return(0,i.jsxs)("div",{className:"relative flex min-h-0 flex-1 flex-col",children:[(0,i.jsxs)("div",{ref:o,onScroll:function(){let e=o.current;if(!e)return;let t=e.scrollHeight-e.scrollTop-e.clientHeight<=64;l.current=t,h(e=>!t===e?e:!t)},className:"flex flex-1 flex-col overflow-y-auto",children:[(0,i.jsx)("div",{className:"flex-1"}),n.map((s,r)=>(0,i.jsx)(D,{message:s,streaming:a&&r===n.length-1&&"assistant"===s.role,isLastAssistant:r===u&&!a,onEdit:e?t=>e(s.id,t):void 0,onRegenerate:t},s.id)),(0,i.jsx)("div",{className:"h-4"})]}),d&&n.length>0&&(0,i.jsxs)("button",{type:"button",onClick:()=>{l.current=!0,h(!1),f(!0)},"aria-label":"Scroll to latest",className:"absolute bottom-3 left-1/2 z-10 flex h-9 w-9 -translate-x-1/2 items-center justify-center rounded-full border border-ink-200 bg-[var(--bg-raised)] text-ink-600 shadow-[var(--shadow-sm)] transition-colors hover:text-ink-900 dark:border-ink-700 dark:text-ink-300 dark:hover:text-ink-50",children:[(0,i.jsx)(r.A,{className:"h-4 w-4"}),a&&(0,i.jsx)("span",{className:"absolute -right-0.5 -top-0.5 h-2 w-2 rounded-full bg-ink-500 dark:bg-ink-300"})]})]})}},26838:(e,t,n)=>{n.d(t,{L:()=>u});var i=n(23292),s=n(60806),r=n(72538),a=n(15621),o=n(17587),l=n(42033),d=n(77501),h=n(71143),c=n(97584),f=n(91826);function u(){let e=(0,f.A)(e=>e.running),t=(0,f.A)(e=>e.steps),n=(0,f.A)(e=>e.reset),u=t.filter(e=>"final"!==e.kind);if((0,c.useEffect)(()=>{if(e||0===u.length)return;let t=setTimeout(()=>n(),2500);return()=>clearTimeout(t)},[e,u.length,n]),!e&&0===u.length)return null;let Q=u.length-1;return(0,i.jsx)("div",{className:"mx-auto mb-2 w-full max-w-3xl px-3 md:px-4",children:(0,i.jsxs)("div",{className:"rounded-lg border border-ink-200/70 bg-[var(--bg-raised)] p-2.5 text-xs dark:border-ink-800/70",children:[(0,i.jsxs)("p",{className:"mb-2 flex items-center gap-1.5 px-1 text-[10px] font-semibold uppercase tracking-[0.18em] text-ink-400",children:[e&&(0,i.jsx)(d.A,{className:"h-3 w-3 animate-spin"}),e?"Agent working":"Agent steps"]}),(0,i.jsxs)("ol",{className:"space-y-1.5",children:[u.map((t,n)=>{let c=e&&n===Q;if("thinking"===t.kind)return(0,i.jsxs)("li",{className:"flex items-center gap-2 px-1",children:[(0,i.jsx)(d.A,{className:c?"h-3.5 w-3.5 shrink-0 animate-spin text-ink-400":"h-3.5 w-3.5 shrink-0 text-ink-300"}),(0,i.jsx)("span",{className:"text-ink-500",children:"Thinkingâ¦"})]},`${t.index}-thinking`);let f=function(e,t,n){let i="string"==typeof t?.query?t.query:void 0,d="string"==typeof t?.url?t.url:void 0,h=(e,t)=>n?e:t;switch(e){case"web_search":return{icon:s.A,label:h("Searching the web","Searched the web"),detail:i};case"fetch_url":return{icon:r.A,label:h("Reading a page","Read a page"),detail:d};case"doc_read":return{icon:a.A,label:h("Searching your documents","Searched your documents"),detail:i};case"memory_search":return{icon:o.A,label:h("Recalling memory","Recalled memory"),detail:i};default:return{icon:l.A,label:e??"Tool",detail:i??d}}}(t.toolName,t.toolArgs,c),u=f.icon;return(0,i.jsxs)("li",{className:"flex items-start gap-2 px-1",children:[(0,i.jsx)("span",{className:"mt-0.5 shrink-0",children:c?(0,i.jsx)(d.A,{className:"h-3.5 w-3.5 animate-spin text-ink-400"}):(0,i.jsx)(h.A,{className:"h-3.5 w-3.5 text-emerald-500"})}),(0,i.jsxs)("div",{className:"min-w-0 flex-1",children:[(0,i.jsxs)("span",{className:"inline-flex items-center gap-1.5",children:[(0,i.jsx)(u,{className:"h-3.5 w-3.5 text-ink-400"}),(0,i.jsx)("span",{className:"font-medium text-ink-700 dark:text-ink-200",children:f.label})]}),f.detail&&(0,i.jsx)("span",{className:"ml-1.5 truncate text-ink-400",children:f.detail}),t.toolResult&&(0,i.jsx)("p",{className:"mt-0.5 line-clamp-2 whitespace-pre-wrap break-words text-ink-500",children:t.toolResult})]})]},`${t.index}-tool`)}),e&&0===u.length&&(0,i.jsxs)("li",{className:"flex items-center gap-2 px-1 text-ink-500",children:[(0,i.jsx)(d.A,{className:"h-3.5 w-3.5 animate-spin"}),"Startingâ¦"]})]})]})})}},28466:(e,t,n)=>{n.d(t,{O:()=>s,V:()=>i});let i=(0,n(91091).v)((e,t)=>({pending:null,request:(n,i)=>{let s=t().pending;
18s&&s.resolve({status:"rejected",detail:"superseded"}),e({pending:{req:n,resolve:i}})},settle:n=>{let i=t().pending;i&&i.resolve(n),e({pending:null})}}));function s(e){return new Promise(t=>i.getState().request(e,t))}},32690:(e,t,n)=>{n.d(t,{Ar:()=>u,Oc:()=>c,iD:()=>p});var i=n(93457),s=n(78036);class r extends Error{constructor(e){super(e),this.name="BaseMcpAuthError"}}function a(e){let t=e instanceof Uint8Array?e:new Uint8Array(e),n="";for(let e of t)n+=String.fromCharCode(e);return btoa(n).replace(/\+/g,"-").replace(/\//g,"_").replace(/=+$/,"")}function o(e){return a(crypto.getRandomValues(new Uint8Array(e)))}async function l(e){return a(await crypto.subtle.digest("SHA-256",new TextEncoder().encode(e)))}async function d(e,t){let n=await fetch(i.YX.register,{method:"POST",headers:{"content-type":"application/json"},body:JSON.stringify({...e,redirect_uris:[t],grant_types:["authorization_code","refresh_token"],response_types:["code"],token_endpoint_auth_method:"none",scope:i.m_})});return n.ok?(await n.json()).client_id??null:null}async function h(){let e=(0,s.Vt)(),t=(0,i.Ju)();if(e&&e.redirectUri===t&&2===e.metaVersion)return e.clientId;let n=await d({...i.Cn},t);if(n||(n=await d({client_name:i.Cn.client_name},t)),!n)throw new r("Could not register with Base.");return(0,s.zA)({clientId:n,redirectUri:t,metaVersion:2}),n}async function c(){let e=await h(),t=(0,i.Ju)(),n=o(32),r=await l(n),a=o(16);(0,s.eX)({verifier:n,state:a,clientId:e,redirectUri:t});let d=new URL(i.Vk);d.searchParams.set("response_type","code"),d.searchParams.set("client_id",e),d.searchParams.set("redirect_uri",t),d.searchParams.set("scope",i.m_),d.searchParams.set("state",a),d.searchParams.set("code_challenge",r),d.searchParams.set("code_challenge_method","S256"),window.location.assign(d.toString())}function f(e){if(!e.access_token)throw new r("Base did not return an access token.");let t=Date.now()+("number"==typeof e.expires_in?1e3*e.expires_in:36e5)-3e4,n={accessToken:e.access_token,refreshToken:e.refresh_token,expiresAt:t,scope:e.scope};return(0,s.do)(n),n}async function u(e){let t=(0,s.WD)();if((0,s.$c)(),!t)throw new r("Connect session expired. Try connecting again.");if(t.state!==e.state)throw new r("State mismatch. Connect again.");let n=new URLSearchParams({grant_type:"authorization_code",code:e.code,redirect_uri:t.redirectUri,client_id:t.clientId,code_verifier:t.verifier}),a=await fetch(i.YX.token,{method:"POST",headers:{"content-type":"application/x-www-form-urlencoded"},body:n.toString()});if(!a.ok)throw new r(`Token exchange failed (${a.status}).`);f(await a.json())}async function Q(e){let t=(0,s.Vt)();if(!e.refreshToken||!t)throw(0,s.S3)(),new r("Base session expired. Reconnect your Base Account.");let n=new URLSearchParams({grant_type:"refresh_token",refresh_token:e.refreshToken,client_id:t.clientId}),a=await fetch(i.YX.token,{method:"POST",headers:{"content-type":"application/x-www-form-urlencoded"},body:n.toString()});if(!a.ok)throw(0,s.S3)(),new r("Base session expired. Reconnect your Base Account.");let o=await a.json();return o.refresh_token||(o.refresh_token=e.refreshToken),f(o)}async function p(){let e=(0,s.Pt)();if(!e)throw new r("Connect your Base Account first.");return e.expiresAt>Date.now()?e.accessToken:(await Q(e)).accessToken}},34575:(e,t,n)=>{n.d(t,{K:()=>c,v:()=>h});var i=n(85047),s=n(75182),r=n(76035),a=n(92675),o=n(86080),l=n(22595),d=n(34131);async function h(e){let t=new Worker(n.tu(new URL(n.p+n.u(404),n.b)),{type:void 0});return new Promise((n,i)=>{let s=Math.floor(1e9*Math.random());t.onmessage=r=>{let a=r.data;a.id===s&&("progress"===a.type?e.onProgress?.("computing-witness",.55):"result"===a.type?(t.terminate(),n(a.proof)):(t.terminate(),i(Error(a.message))))},t.onerror=e=>{t.terminate(),i(Error(e.message||"worker error"))},t.postMessage({id:s,type:"generate",params:{secret:e.secret,depositAmount:e.depositAmount,ticketIndex:e.ticketIndex,cMax:e.cMax,chainId:e.chainId,messageHash:e.messageHash,merklePath:e.merklePath,circuit:e.circuit}})})}async function*c(e){let t,{onProgress:n,messages:c,model:f,tier:u,signal:Q,useMixnet:p,imageGen:g}=e,I=((0,d.OQ)(!!p)?await (0,d.Sn)():null)??fetch,m=(0,l.pt)(u);if(m)n({stage:"submitting",fraction:.9}),t=m.envelope;else{n({stage:"loading-credential",fraction:.02});let e=await (0,a.loadCredential)();if(!e)throw Error("no Sovereign credential. deposit first at /buy");let l=r.J7;n({stage:"fetching-merkle-path",fraction:.18});let d=await (0,s.GF)(o.jV.sovereignApiUrl,e.commitment,{fetch:I}),Q=await (0,a.advanceTicketIndex)(),p=i.uA[u].priceUsdc,m=await (0,i.Bc)({messages:c,model:f,tier:u,...g?{image_gen:!0}:{}});n({stage:"generating-proof",fraction:.25});try{t=await h({secret:e.secret,depositAmount:e.depositAmount,ticketIndex:Q,cMax:p,chainId:o.jV.chainId,messageHash:m,merklePath:d,circuit:l,onProgress:(e,t)=>n({stage:e,fraction:t})})}catch(n){let t=n instanceof Error?n.message:String(n);if(/cannot satisfy constraint|witness/i.test(t)){let n=(Q+1)*p;throw Error(n>e.depositAmount?`Credential out of credits. ticketIndex ${Q+1} \xd7 ${p/1e6}
18 USDC = ${n/1e6} USDC ⥠deposit ${e.depositAmount/1e6} USDC. Top up at /buy or import a credential with remaining balance.`:`Proof generation failed: circuit witness could not be satisfied. Usually means your local ticket counter or merkle path is stale -- try /keys â "Sync with server", or re-import the credential. (${t.split("\n")[0]})`)}throw n}}n({stage:"submitting",fraction:.85});let E={...t,messages:c,model:f,tier:u,stream:!0,...g?{image_gen:!0}:{},...(0,i.ne)(f,e.reasoningEffort??null)},C=await I(new URL("/v1/chat/completions",o.jV.sovereignApiUrl).toString(),{method:"POST",headers:{"content-type":"application/json",accept:"text/event-stream"},body:JSON.stringify(E),signal:Q});if(!C.ok||!C.body){let e=await C.text().catch(()=>"");throw Error(`sovereign call failed (${C.status}): ${e}`)}n({stage:"streaming",fraction:.95});let b=C.body.getReader(),v=new TextDecoder,k="";for(;;){let e,{done:t,value:n}=await b.read();if(t)break;for(k+=v.decode(n,{stream:!0});-1!==(e=k.indexOf("\n\n"));){let t=k.slice(0,e);for(let n of(k=k.slice(e+2),t.split("\n"))){let e=n.match(/^data:\s?(.*)$/);if(!e)continue;let t=e[1];if("[DONE]"===t)return void(yield{delta:"",done:!0});try{let e=JSON.parse(t);if(e.error)throw Error(`upstream error: ${JSON.stringify(e.error)}`);let n=e.choices?.[0]?.delta;n?.reasoning&&(yield{delta:"",reasoning:n.reasoning,done:!1});let i=n?.content;i&&(yield{delta:i,done:!1})}catch(e){if(e instanceof SyntaxError)continue;throw e}}}}yield{delta:"",done:!0}}},38114:(e,t,n)=>{n.d(t,{r:()=>a,scanForPii:()=>o});var i=n(74046),s=n(60660),r=n(81755);function a(e){let t=e.filter(e=>"PERSON"===e.type),n=e.filter(e=>"PERSON"!==e.type),i=[];for(let e of[...t].sort((e,t)=>(0,r.z)(t.value).length-(0,r.z)(e.value).length)){let t=new Set((0,r.z)(e.value));i.some(e=>{let n=new Set((0,r.z)(e.value));return(0,r.H)(t,n)||(0,r.H)(n,t)})||i.push(e)}return[...n,...i]}async function o(e){if(!e.trim())return{items:[],nameError:null};let t=(0,i.v7)(e),n=[],r=null;try{n=await (0,s.jT)(e)}catch(e){r=e instanceof Error?e.message:String(e)}let a=[...t];for(let e of n)a.some(t=>e.start<t.end&&t.start<e.end)||a.push(e);let o=new Set,l=[];for(let e of a){let t=e.type+":"+e.value.trim().toLowerCase();!o.has(t)&&e.value.trim()&&(o.add(t),l.push({type:e.type,value:e.value}))}return{items:l,nameError:r}}},40832:(e,t,n)=>{n.d(t,{CJ:()=>o,QI:()=>a,os:()=>i,tA:()=>r,uC:()=>s});let i=/\{\{PII_[A-Z_]+_\d+\}\}/g;function s(e,t){return`{{PII_${e}_${t}}}`}function r(e){return e.trim().toLowerCase().replace(/\s+/g," ")}function a(e){return{conversationId:e,entries:[],counters:{},ignore:[]}}function o(e){return e.replace(i,e=>e.replace("{{","{â{"))}},41631:(e,t,n)=>{n.d(t,{g:()=>a});var i=n(23292),s=n(97584),r=n(50894);function a({entries:e,onUnredact:t}){let[n,o]=(0,s.useState)(!1);return 0===e.length?null:(0,i.jsxs)("div",{className:"relative text-xs",children:[(0,i.jsxs)("button",{type:"button",onClick:()=>o(e=>!e),className:"inline-flex items-center gap-1 text-ink-400 hover:text-ink-600",children:[(0,i.jsx)(r.A,{className:"h-3.5 w-3.5"}),`${e.length} item${1===e.length?"":"s"} hidden`]}),n&&(0,i.jsx)("div",{className:"absolute z-50 mt-1 w-72 rounded-lg border border-ink-200 bg-[var(--bg-raised)] p-2 shadow-lg dark:border-ink-700",children:(0,i.jsx)("ul",{className:"space-y-1",children:e.map(e=>(0,i.jsxs)("li",{className:"flex items-center justify-between gap-2",children:[(0,i.jsxs)("span",{className:"truncate",children:[(0,i.jsx)("span",{className:"text-ink-400",children:e.type})," ",e.value]}),(0,i.jsx)("button",{type:"button",className:"shrink-0 text-ink-400 hover:text-red-500",onClick:()=>t(e.value),children:"Don't redact"})]},e.token))})})]})}},45464:(e,t,n)=>{n.d(t,{Mz:()=>g,Uo:()=>f,agentWebFetch:()=>p,agentWebSearch:()=>Q,f9:()=>u});var i=n(85047),s=n(75182),r=n(76035),a=n(92675),o=n(86080),l=n(34131),d=n(34575);let h="auto",c=[{role:"user",content:"__prxvt_agent_session_open__"}];async function f(e){let{useMixnet:t,signal:n,onProgress:f}=e,u=((0,l.OQ)(!!t)?await (0,l.Sn)():null)??fetch;f?.({stage:"loading-credential",fraction:.02});let Q=await (0,a.loadCredential)();if(!Q)throw Error("no Sovereign credential. deposit first at /buy");if(Q.cMax!==i.uA.A.priceUsdc)throw Error("Agent mode needs an Agent-tier deposit.");f?.({stage:"fetching-merkle-path",fraction:.18});let p=await (0,s.GF)(o.jV.sovereignApiUrl,Q.commitment,{fetch:u}),g=await (0,a.advanceTicketIndex)(),I=Q.cMax,m=await (0,i.Bc)({messages:c,model:h,tier:"A"});f?.({stage:"generating-proof",fraction:.25});let E=await (0,d.v)({secret:Q.secret,depositAmount:Q.depositAmount,ticketIndex:g,cMax:I,chainId:o.jV.chainId,messageHash:m,merklePath:p,circuit:r.J7,onProgress:(e,t)=>f?.({stage:e,fraction:t})});f?.({stage:"submitting",fraction:.9});let C={...E,messages:c,model:h,tier:"A"},b=await u(new URL("/v1/agent/session/open",o.jV.sovereignApiUrl).toString(),{method:"POST",headers:{"content-type":"application/json"},body:JSON.stringify(C),signal:n});if(!b.ok){let e=await b.text().catch(()=>"");throw Error(`agent session open failed (${b.status}): ${e}`)}let v=await b.json();if("string"!=typeof v.token||"number"!=typeof v.expiresAt||"number"!=typeof v.budgetUsdc||"number"!=typeof v.stepPriceUsdc)throw Error("agent session open: malformed server response");return{token:v.token,expiresAt:v.expiresAt,budgetUsdc:v.budgetUsdc,stepPriceUsdc:v.stepPriceUsdc}}
18class u extends Error{constructor(e="agent session budget exhausted"){super(e),this.name="AgentSessionExhaustedError"}}async function Q(e,t,n){let i=((0,l.OQ)(!!n)?await (0,l.Sn)():null)??fetch,s=await i(new URL("/v1/agent/web/search",o.jV.sovereignApiUrl).toString(),{method:"POST",headers:{"content-type":"application/json",authorization:`Bearer ${e.token}`},body:JSON.stringify({query:t})});if(402===s.status)throw new u;if(!s.ok){let e=await s.text().catch(()=>"");throw Error(`web search failed (${s.status}): ${e}`)}let r=await s.json();return{results:Array.isArray(r.results)?r.results:[],answer:"string"==typeof r.answer&&r.answer.trim()?r.answer:void 0}}async function p(e,t,n){let i=((0,l.OQ)(!!n)?await (0,l.Sn)():null)??fetch,s=await i(new URL("/v1/agent/web/fetch",o.jV.sovereignApiUrl).toString(),{method:"POST",headers:{"content-type":"application/json",authorization:`Bearer ${e.token}`},body:JSON.stringify({url:t})});if(402===s.status)throw new u;if(!s.ok){let e=await s.text().catch(()=>"");throw Error(`fetch failed (${s.status}): ${e}`)}let r=await s.json();return{text:r.text??"",contentType:r.contentType??null}}async function g(e){let{session:t,messages:n,model:i,useMixnet:s,signal:r,onToken:a}=e,d=((0,l.OQ)(!!s)?await (0,l.Sn)():null)??fetch,h=await d(new URL("/v1/agent/step",o.jV.sovereignApiUrl).toString(),{method:"POST",headers:{"content-type":"application/json",accept:"text/event-stream",authorization:`Bearer ${t.token}`},body:JSON.stringify({model:i,messages:n,stream:!0}),signal:r});if(402===h.status)throw new u;if(!h.ok||!h.body){let e=await h.text().catch(()=>"");throw Error(`agent step failed (${h.status}): ${e}`)}let c=h.body.getReader(),f=new TextDecoder,Q="",p="";for(;;){let e,{done:t,value:n}=await c.read();if(t)break;for(Q+=f.decode(n,{stream:!0});-1!==(e=Q.indexOf("\n\n"));){let t=Q.slice(0,e);for(let n of(Q=Q.slice(e+2),t.split("\n"))){let e=n.match(/^data:\s?(.*)$/);if(!e)continue;let t=e[1];if("[DONE]"===t)return a?.(p),p;try{let e=JSON.parse(t);if(e.error)throw Error(`upstream error: ${JSON.stringify(e.error)}`);let n=e.choices?.[0]?.delta?.content;n&&(p+=n,a?.(p))}catch(e){if(e instanceof SyntaxError)continue;throw e}}}}return a?.(p),p}},47852:(e,t,n)=>{n.d(t,{JT:()=>g,ou:()=>I});var i=n(93457),s=n(32690),r=n(90354),a=n(65584);let o="2025-06-18";class l extends Error{constructor(){super("Base session is not authorized. Reconnect your Base Account."),this.name="BaseMcpUnauthorized"}}class d extends Error{constructor(e){super(e),this.name="BaseMcpCallError"}}let h=null,c=!1,f=0;function u(){h=null,c=!1}async function Q(e,t){let n=await (0,s.iD)(),r=++f,a={"content-type":"application/json",accept:"application/json, text/event-stream",authorization:`Bearer ${n}`,"mcp-protocol-version":o};h&&(a["mcp-session-id"]=h);let c=await fetch(i.YX.rpc,{method:"POST",headers:a,body:JSON.stringify({jsonrpc:"2.0",id:r,method:e,params:t})});if(401===c.status)throw u(),new l;if(404===c.status&&h)throw u(),new d("Base session expired; reconnecting.");let Q=c.headers.get("mcp-session-id");Q&&(h=Q);let p=await c.text();if(!c.ok)throw new d(`Base MCP error (${c.status}).`);let g=function(e,t){let n=e.trim();if(!n)return null;if(n.startsWith("{"))try{return JSON.parse(n)}catch{return null}for(let e of n.split("\n")){let n=e.match(/^data:\s?(.*)$/);if(n)try{let e=JSON.parse(n[1]);if(e.id===t||void 0!==e.result||void 0!==e.error)return e}catch{}}return null}(p,r);if(!g)throw new d("Unparseable Base MCP response.");if(g.error)throw new d(g.error.message||"Base MCP request failed.");return g.result}async function p(){if(!c){await Q("initialize",{protocolVersion:o,capabilities:{},clientInfo:{name:"PRXVT AI",version:"1.0.0"}});try{let e=await (0,s.iD)(),t={"content-type":"application/json",authorization:`Bearer ${e}`,"mcp-protocol-version":o};h&&(t["mcp-session-id"]=h),await fetch(i.YX.rpc,{method:"POST",headers:t,body:JSON.stringify({jsonrpc:"2.0",method:"notifications/initialized"})})}catch{}c=!0}}async function g(){return(0,r.L)(async()=>(await p(),(await Q("tools/list",{})).tools??[]))}async function I(e,t){return(0,r.L)(async()=>{await p();let n=await Q("tools/call",{name:e,arguments:t});return(0,a.sm)(`result:${e}`,n),n})}},55315:(e,t,n)=>{n.d(t,{_z:()=>y});var i=n(83537),s=n(85047),r=n(92675),a=n(34575),o=n(86080),l=n(55769),d=n(34131),h=n(52
18034),c=n(15665),f=n(3283),u=n(92511),Q=n(54922);async function*p(e){let t,{onProgress:n,messages:i,model:r,signal:a,useMixnet:p,imageGen:g}=e,I=o.jV.sovereignApiUrl,m=((0,d.OQ)(!!p)?await (0,d.Sn)():null)??fetch;n({stage:"reconciling",fraction:.02}),await (0,Q.UC)(e=>(0,h.L0)(I,e,m),(0,h.sU)(I,m));let E={messages:i,model:r,...g?{image_gen:!0}:{},..."number"==typeof e.temperature?{temperature:e.temperature}:{},..."number"==typeof e.topP?{top_p:e.topP}:{},..."number"==typeof e.maxTokens?{max_tokens:e.maxTokens}:{},...(0,s.ne)(r,e.reasoningEffort??null)};n({stage:"quoting",fraction:.08});let C=BigInt((await (0,h.nw)(I,{model:r,messages:i,..."number"==typeof e.maxTokens?{max_tokens:e.maxTokens}:{}},m,a)).requiredCost),b=0;for(;;){n({stage:"loading-note",fraction:.1});let e=await (0,Q._0)();if(0===e.length)throw Error("no confidential-pool balance. Deposit first at /buy.");let i=(0,Q.pJ)(e,C);if(!i){if(await (0,Q.Tr)()>=C)throw Error("Your balance is split across deposits and no single note covers this call. Make one larger deposit, or send a cheaper request.");throw Error("Not enough confidential-pool balance for this call. Deposit more at /buy.")}let s=i.note;if(i.depositTx)try{await (0,h.GQ)(I,i.depositTx,m)}catch{}n({stage:"generating-proof",fraction:.25});let r=()=>(0,h.c9)({apiUrl:I,note:s,request:E,withdrawnValue:C,fetchImpl:m,prove:c.Qv,onBeforeSubmit:async(e,t)=>{await (0,Q.Uq)(e,t),n({stage:"submitting",fraction:.85})},...a?{signal:a}:{}});try{t=await r();break}catch(s){let e=s instanceof Error?s.message:String(s);if(/insufficient pool balance/i.test(e))throw Error("Not enough confidential-pool balance for this call. Deposit more at /buy.");if(/not in the server tree|deposit not finalized|pool\/path: 404/i.test(e)){if(i.depositTx)try{await (0,h.GQ)(I,i.depositTx,m),t=await r();break}catch{}throw Error("Your deposit is still confirming on-chain. Give it a few seconds and send again.")}if(/nullifier_already_spent|already been spent|already spent/i.test(e)){if(await (0,Q.Py)(),b<2){b+=1,n({stage:"reconciling",fraction:.05}),await (0,u.C)(I,m);continue}throw Error('This balance is out of sync with the network and automatic re-sync did not settle it (a note may have just been spent on another device). Open the Sovereign key page, press "Re-sync balance", then try again.')}throw s}}n({stage:"streaming",fraction:.95});let v=t.response;if(!v.body){try{await (0,Q.S4)(t.position?.newLeafIndex)}catch{}yield{delta:"",done:!0};return}let k=v.body.getReader(),x=new TextDecoder,y="",K=!1;try{for(;;){let e,{done:t,value:n}=await k.read();if(t)break;for(y+=x.decode(n,{stream:!0});-1!==(e=y.indexOf("\n\n"));){let t=y.slice(0,e);for(let n of(y=y.slice(e+2),t.split("\n"))){let e=n.match(/^data:\s?(.*)$/);if(!e)continue;let t=e[1];if("[DONE]"===t){K=!0;break}try{let e=JSON.parse(t);if(e.error)throw Error(`upstream error: ${JSON.stringify(e.error)}`);if((0,l.$)(e.prxvt_consensus)){yield{delta:"",done:!1,consensus:e.prxvt_consensus};continue}let n=e.choices?.[0]?.delta;n?.reasoning&&(yield{delta:"",reasoning:n.reasoning,done:!1});let i=n?.content;i&&(yield{delta:i,done:!1})}catch(e){if(e instanceof SyntaxError)continue;throw e}}if(K)break}if(K)break}}finally{try{await (0,Q.S4)(t.position?.newLeafIndex)}catch{}(0,f.kI)(I,m).catch(()=>{})}yield{delta:"",done:!0}}var g=n(29019),I=n(22595),m=n(64e3),E=n(35316);function C(e){return"string"==typeof e?e:e.filter(e=>"text"===e.type).map(e=>e.text).join("\n")}async function b(){return await Promise.resolve().then(n.bind(n,1305))}async function v(e){let{messages:t,model:i,tier:s,onToken:l,onProgress:d,signal:h,useMixnet:c,imageGen:f,onReasoning:u}=e,Q="",p=0;for(;;){l(Q=""),d?.({stage:"loading-credential",fraction:0});try{for await(let n of(0,a.K)({messages:t,model:i,tier:s,onProgress:e=>d?.(e),signal:h,useMixnet:c,imageGen:f,...void 0!==e.reasoningEffort?{reasoningEffort:e.reasoningEffort}:{}}))if(n.delta&&(Q+=n.delta,l(Q)),n.reasoning&&u?.(n.reasoning),n.done)break;break}catch(e){if(p<6&&function(e){let t=e instanceof Error?e.message:String(e);return/"code"\s*:\s*"(double_spend|nullifier_spent)"/.test(t)}(e)){if(p++,(0,I.mK)(),p<=2)try{await (0,r.syncTicketIndexWithServer)(o.jV.sovereignApiUrl)}catch{}else{let e=1<<p-3;try{let{advanceTicketIndex:t}=await Promise.resolve().then(n.bind(n,92675));for(let n=0;n<e;n++)await t()}catch{}}continue}throw e}}return Q}async function k(e){let t="";for await(let n of(e.onToken(t),p({messages:e.messages,model:e.model,onProgress:t=>e.onProgress?.({stage:function(e){switch(e){case"loading-note":case"reconciling":return"loading-credential";case"quoting":case"fetching-path":return"fetching-merkle-path";case"generating-proof":return"generating-proof";case"submitting":return"submitting";case"streaming":return"streaming"}}(t.stage),fraction:t.fraction}),...e.signal?{signal:e.signal}:{},...void 0!==e.useMixnet?{useMixnet:e.useMixnet}:{},...void 0!==e.imageGen?{imageGen:e.imageGen}:{},...void 0!==e.reasoningEffort?{reasoningEffort:e.reasoningEffort}:{}})))if(n.delta&&(t+=n.delta,e.onToken(t)),n.reasoning&&e.onReasoning?.(n.reasoning),n.c
18onsensus&&e.onConsensus?.(n.consensus),n.done)break;return t}async function x(e){let t="";for await(let n of(e.onToken(t),e.onProgress?.({stage:"submitting",fraction:.5}),(0,g.MV)({messages:e.messages,model:e.model,...e.signal?{signal:e.signal}:{},...void 0!==e.imageGen?{imageGen:e.imageGen}:{},...void 0!==e.reasoningEffort?{reasoningEffort:e.reasoningEffort}:{}})))if(n.delta&&(t+=n.delta,e.onToken(t)),n.reasoning&&e.onReasoning?.(n.reasoning),n.done)break;return t}async function y(e){let{conversationId:t,model:l,messages:d,onToken:h,onProofProgress:c,onPersisted:f,signal:u,memoryEnabled:p,mixnetEnabled:y,incognito:K,imageGen:F,reasoningEffort:V,expertId:U,onReasoning:S,redactionEnabled:B,onRedacted:q,onConsensus:A,stakerEnabled:H}=e,R=null,D=(0,g.mR)();if(!0===H&&!D)throw Error("Free staker chat is on, but it is not set up in this browser. Re-enable it on the API keys page, or turn off staker mode to pay normally.");let J=!0===H&&D,N=!J&&(0,o.ex)()&&await (0,Q.bE)(),w="M";if(!J&&!N){let e=await (0,r.loadCredential)();if(!e)throw Error("no Sovereign credential. deposit first at /buy");if(w=(0,s.RG)(e.cMax),F&&e.cMax!==s.uA.L.priceUsdc)throw Error("Image generation needs a Heavy-tier deposit.")}let O="",Y=d,X=[...d].reverse().find(e=>"user"===e.role),T=X?C(X.content):"",j=[],W=U??null;if(!K)try{let e=(0,E.L)();if(e){let n=await e.conversations.get(t);void 0===U&&(W=n?.expertId??null),n&&W&&n.expertId!==W&&await e.conversations.put({...n,expertId:W})}}catch{}if(W&&1)try{let{getExpert:e}=await n.e(155).then(n.bind(n,10155)),t=await e(W);t?.instructions.trim()&&j.push(t.instructions.trim())}catch{}if(!K)try{let e=await (0,m.getDocumentContext)(t,{query:T,maxWords:8e3,...W?{expertId:W}:{}}),n=(0,m.formatAsSystemPrompt)(e);n&&j.push(n)}catch{}if(!K&&p&&T)try{let e=await b(),t=e?await e.retrieveRelevant(T,3):[];t.length>0&&j.push("Relevant context from past conversations (use only if pertinent):\n\n"+t.map((e,t)=>`[${t+1}] ${e}`).join("\n\n---\n\n"))}catch{}if(j.length>0){let e=j.join("\n\n---\n\n"),t=d[0];Y=t?.role==="system"?[{role:"system",content:`${C(t.content)} 19 20${e}`},...d.slice(1)]:[{role:"system",content:e},...d]}let P=e=>e;if(B)try{let{redactOutgoing:e,rehydrate:i}=await Promise.resolve().then(n.bind(n,81755)),{loadVault:s,saveVault:r}=await n.e(3106).then(n.bind(n,80725)),a=await s(t),o=[...d].reverse().find(e=>"assistant"===e.role),l=o?C(o.content):"",h=[T,l,...j].filter(Boolean),c=await e(Y,a,{newText:h});Y=c.messages,await r(c.vault,{incognito:K}),P=e=>i(e,c.vault,c.usedTokens),q?.({newCount:c.newCount,entries:c.vault.entries})}catch{throw Error("Redaction failed (the name-detection model could not load); message not sent. Toggle the shield off to send without redaction.")}let G="",L=e=>{G+=e,S?.(e)};try{if(O=J?await x({messages:Y,model:l,onToken:e=>h(P(e)),onProgress:c,onReasoning:L,signal:u,imageGen:F,reasoningEffort:V}):N?await k({messages:Y,model:l,onToken:e=>h(P(e)),onProgress:c,onReasoning:L,onConsensus:e=>{var t;t=P,R={...e,...e.summary?{summary:t(e.summary)}:{},points:e.points.map(e=>({...e,text:t(e.text),...e.dissent?{dissent:{...e.dissent,note:t(e.dissent.note)}}:{}}))},A?.(R)},signal:u,useMixnet:y,imageGen:F,reasoningEffort:V}):await v({messages:Y,model:l,tier:w,onToken:e=>h(P(e)),onProgress:c,onReasoning:L,signal:u,useMixnet:y,imageGen:F,reasoningEffort:V}),O=P(O),c?.(null),!K){let e=await (0,r.appendMessage)({conversationId:t,role:"assistant",content:O,model:l,...R?{consensus:R}:{},...G?{reasoning:G}:{}});f?.(e)}return N||J||(0,I._K)(w,e=>(0,a.v)({...e})),!K&&p&&T&&O.length>0&&b().then(e=>{if(e)return e.remember(T,O,t).catch(()=>{})}),O}catch(n){if(c?.(null),(0,i.z)(n))throw n;let e=(0,i.A)(n);throw h(e),K||await (0,r.appendMessage)({conversationId:t,role:"assistant",content:e,model:l}),n}}},56186:(e,t,n)=>{n.d(t,{f:()=>o,x:()=>l});var i=n(92675),s=n(16686),r=n(64e3);function a(e){return"string"==typeof e?e:e.filter(e=>"text"===e.type).map(e=>e.text).join("\n")}async function o(e){let{localModelId:t,messages:n,onToken:i,onPhase:r,signal:a}=e;return(0,s.Om)(async()=>{r?.("preparing");let e=await (0,s.ro)(t),o="";i(o);
20let l=await e.chat.completions.create({messages:n,stream:!0}),d=()=>{(0,s.gI)()};a?.addEventListener("abort",d);let h=!1;try{for await(let e of l){if(a?.aborted)break;let t=e.choices[0]?.delta.content??"";t&&(h||(h=!0,r?.(null)),o+=t,i(o))}}catch(t){let e=t instanceof Error?t.message:String(t);if(/buffer|unmapped|abort|device\s*lost|gpu|webgpu/i.test(e))try{await (0,s.uo)()}catch{}throw Error(`Local model error: ${e.split("\n")[0]}`)}finally{a?.removeEventListener("abort",d),r?.(null)}return o})}async function l(e){let{conversationId:t,localModelId:n,messages:s,onToken:l,onPersisted:d,onPhase:h,signal:c,incognito:f}=e;f||await (0,i.ensureOfflineStorageKey)();let u=s;if(!f)try{let e=[...s].reverse().find(e=>"user"===e.role),n=e?a(e.content):"",i=await (0,r.getDocumentContext)(t,{query:n,maxWords:4e3}),o=(0,r.formatAsSystemPrompt)(i);if(o){let e=s[0];u=e?.role==="system"?[{role:"system",content:`${a(e.content)} 21 22${o}`},...s.slice(1)]:[{role:"system",content:o},...s]}}catch{}let Q=u.map(e=>({role:e.role,content:a(e.content)})),p=await o({localModelId:n,messages:Q,onToken:l,onPhase:h,signal:c});if(!f){let e=await (0,i.appendMessage)({conversationId:t,role:"assistant",content:p,model:n});d?.(e)}return p}},60660:(e,t,n)=>{n.d(t,{RU:()=>a,jT:()=>l});let i={PER:"PERSON",ORG:"ORG",LOC:"LOCATION"},s=null;async function r(){return s||(s=(async()=>{try{let{pipeline:e}=await Promise.all([n.e(9843),n.e(6362)]).then(n.bind(n,57079)),{configureTransformers:t}=await Promise.all([n.e(9843),n.e(6362),n.e(4071)]).then(n.bind(n,24071));return t(),await e("token-classification","Xenova/bert-base-multilingual-cased-ner-hrl",{device:"wasm",dtype:"q8"})}catch(e){throw console.error("[ner] NER model failed to load; names will NOT be redacted:",e),s=null,e}})())}function a(){r().catch(()=>{})}async function o(e,t){let n=[];for(let t=0;t<e.length&&(n.push({slice:e.slice(t,t+1e3),off:t}),!(t+1e3>=e.length));t+=840);if(0===n.length)return[];let s=await t(n.map(e=>e.slice)),r=[],a=new Set;for(let e=0;e<n.length;e++){let{slice:t,off:o}=n[e];for(let n of function(e){let t=[],n=null,s=()=>{if(n){let e=i[n.base],s=n.text.trim();e&&s&&n.score>=.5&&t.push({value:s,type:e})}n=null};for(let t of e){let e=/^([BI])-(.+)$/.exec(t.entity),i=e?.[1]??"",r=e?.[2]??"",a=t.word.startsWith("##"),o=null!==n&&t.index===n.last+1;a&&n&&o?(n.text+=t.word.slice(2),n.last=t.index):"I"===i&&n&&o&&n.base===r?(n.text+=" "+t.word,n.last=t.index):(s(),n={base:r,text:t.word.replace(/^##/,""),last:t.index,score:t.score})}return s(),t}(s[e]??[])){let e=n.type+":"+n.value.toLowerCase();if(a.has(e))continue;a.add(e);let i=t.indexOf(n.value),s=i>=0?o+i:o;r.push({start:s,end:s+n.value.length,value:n.value,type:n.type})}}return r}async function l(e){if(!e.trim())return[];let t=await r();return o(e,async e=>{let n=[];for(let i=0;i<e.length;i+=8){let s=e.slice(i,i+8),r=await t(s);n.push(...r)}return n})}},64e3:(e,t,n)=>{n.d(t,{formatAsSystemPrompt:()=>h,getDocumentContext:()=>d});var i=n(35316),s=n(75182),r=n(1305);async function a(){return(await Promise.resolve().then(n.bind(n,92675)))._getKeyForMemory()}async function o(e,t,n,a,o){let l=(0,i.L)();if(!l)return[];let d=await l.documentChunks.where("documentId").equals(e.id).toArray();if(0===d.length)return[];let h=[];for(let e of d){let n=new Float32Array(e.embedding),i=(0,r.cosineSim)(t,n);i>=a&&h.push({chunk:e,score:i})}h.sort((e,t)=>t.score-e.score);let c=h.slice(0,n),f=[];for(let e of c)try{f.push(await (0,s.PV)(e.chunk.content,o))}catch{}return f}async function l(e,t){if(!e.content)return"";try{return await (0,s.PV)(e.content,t)}catch{return""}}async function d(e,t={}){let{query:n,maxWords:s=4e3,topKPerDoc:h=5,minScore:c=.3,expertId:f}=t,u=(0,i.L)();if(!u)return[];let Q=await u.documents.where("conversationId").equals(e).toArray(),p=f?await u.documents.where("expertId").equals(f).toArray():[],g=new Set,I=[...p,...Q].filter(e=>!g.has(e.id)&&(g.add(e.id),!0));if(0===I.length)return[];let m=await a(),E=null;if(n&&n.trim().length>0)try{E=await (0,r.embedText)(n)}catch{E=null}let C=[],b=s;for(let e of I){if(b<=0)break;let t="",n="full";if(e.embedded&&E){let i=await o(e,E,h,c,m);i.length>0?(t=i.join("\n\n"),n="rag"):t=await l(e,m)}else t=await l(e,m);if(!t)continue;
22let i=(t=function(e,t){let n=e.split(/\s+/).filter(Boolean);return n.length<=t?e:n.slice(0,t).join(" ")+" â¦[truncated]"}(t,b)).split(/\s+/).filter(Boolean).length;b-=i,C.push({name:e.name,text:t,source:n})}return C}function h(e){return 0===e.length?null:"The user has provided the following reference material for you to consult when answering. Treat this text as part of the conversation context -- it is already available to you. Do NOT say you cannot access files, PDFs, or attachments; the actual content is included below.\n\n"+e.map(e=>`=== ${e.name} === 23${e.text}`).join("\n\n")+"\n\nWhen the user asks about this material, quote or summarize directly from the text above."}},65584:(e,t,n)=>{n.d(t,{MN:()=>r,sI:()=>i,sm:()=>s});let i=(0,n(91091).v)((e,t)=>({lines:[],log:(n,i)=>{let s="";if(void 0!==i)try{s=` ${"string"==typeof i?i:JSON.stringify(i)}`}catch{s=` ${String(i)}`}e({lines:[...t().lines,function(e,t=700){return e.length>t?`${e.slice(0,t)}â¦`:e}(`${n}${s}`)].slice(-20)})},clear:()=>e({lines:[]})}));function s(e,t){try{i.getState().log(e,t)}catch{}}function r(){try{if("1"===window.localStorage.getItem("prxvt.basemcp.debug"))return!0;let e=new URLSearchParams(window.location.search).get("debug")??"";if(/base/i.test(e))return window.localStorage.setItem("prxvt.basemcp.debug","1"),!0}catch{}return!1}},69140:(e,t,n)=>{n.d(t,{v:()=>l});var i=n(23292),s=n(97584),r=n(15621),a=n(32635),o=n(89992);function l({conversationId:e,refreshKey:t,onChanged:n}
23){let[d,h]=(0,s.useState)([]);async function c(e){await (0,o.Nn)(e),h(t=>t.filter(t=>t.id!==e)),n?.()}return((0,s.useEffect)(()=>{if(!e)return void h([]);let t=!1;return(0,o.lC)(e).then(e=>{t||h(e)}),()=>{t=!0}},[e,t]),0===d.length)?null:(0,i.jsx)("div",{className:"mx-auto flex w-full max-w-3xl flex-wrap gap-1.5 px-3 pt-2 md:px-4",children:d.map(e=>(0,i.jsxs)("span",{className:"group inline-flex items-center gap-1.5 rounded-md border border-ink-200 bg-ink-100/60 px-2 py-1 text-[11px] text-ink-700 dark:border-ink-800 dark:bg-ink-800/60 dark:text-ink-200",title:`${e.wordCount.toLocaleString()} words \xb7 ${(e.size/1024).toFixed(0)} KB \xb7 attached to this chat -- click X to remove`,children:[(0,i.jsx)(r.A,{className:"h-3 w-3"}),(0,i.jsx)("span",{className:"max-w-[10rem] truncate sm:max-w-[14rem]",children:e.name}),(0,i.jsx)("button",{type:"button",onClick:()=>void c(e.id),className:"ml-0.5 -mr-0.5 rounded-full p-0.5 text-ink-500 transition-colors hover:bg-ink-300/50 hover:text-ink-900 dark:text-ink-300 dark:hover:bg-ink-700/60 dark:hover:text-ink-100","aria-label":`Remove ${e.name}`,children:(0,i.jsx)(a.A,{className:"h-3 w-3"})})]},e.id))})}},74046:(e,t,n)=>{n.d(t,{v7:()=>s});let i=[{type:"EMAIL",re:/\b[A-Za-z0-9._%+-]+@[A-Za-z0-9.-]+\.[A-Za-z]{2,}\b/g},{type:"IBAN",re:/\b[A-Z]{2}\d{2}[A-Z0-9]{10,30}\b/g,validate:function(e){let t=e.replace(/\s/g,"").toUpperCase();if(!/^[A-Z]{2}\d{2}[A-Z0-9]{10,30}$/.test(t))return!1;let n=(t.slice(4)+t.slice(0,4)).replace(/[A-Z]/g,e=>String(e.charCodeAt(0)-55)),i=0;for(let e of n)i=(10*i+(e.charCodeAt(0)-48))%97;return 1===i}},{type:"CREDIT_CARD",re:/\b(?:\d[ -]?){13,19}\b/g,validate:function(e){let t=e.replace(/\D/g,"");if(t.length<13||t.length>19)return!1;let n=0,i=!1;for(let e=t.length-1;e>=0;e--){let s=t.charCodeAt(e)-48;i&&(s*=2)>9&&(s-=9),n+=s,i=!i}return n%10==0}},{type:"SSN",re:/\b\d{3}-\d{2}-\d{4}\b/g},{type:"IP_ADDRESS",re:/\b(?:\d{1,3}\.){3}\d{1,3}\b/g},{type:"PHONE",re:/(?:\+?\d[\d ().-]{7,}\d)/g,validate:function(e){let t=e.replace(/\D/g,"");return!(t.length<7||t.length>15||(e.match(/\./g)?.length??0)>2||/\d\.\s/.test(e))&&!!/\d{3,}/.test(e)}}];function s(e){let t=[];for(let n of i){let i;for(n.re.lastIndex=0;null!==(i=n.re.exec(e));){let e=i[0];(!n.validate||n.validate(e))&&t.push({start:i.index,end:i.index+e.length,value:e,type:n.type})}}t.sort((e,t)=>t.end-t.start-(e.end-e.start)||e.start-t.start);let n=[];for(let e of t)n.some(t=>e.start<t.end&&t.start<e.end)||n.push(e);return n.sort((e,t)=>e.start-t.start)}},76035:(e,t,n)=>{n.d(t,{J7:()=>i});let i={version:"0.3.0",program:JSON.parse('{"noir_version":"1.0.0-beta.20+b4236c1957d0c26cb65d82adc9e5447b6ff1d629","hash":"14430346868212361404","abi":{"parameters":[{"name":"nullifier","type":{"kind":"field"},"visibility":"public"},{"name":"root","type":{"kind":"field"},"visibility":"public"},{"name":"ticket_index","type":{"kind":"integer","sign":"unsigned","width":64},"visibility":"public"},{"name":"c_max","type":{"kind":"integer","sign":"unsigned","width":64},"visibility":"public"},{"name":"deposit_amount","type":{"kind":"integer","sign":"unsigned","width":64},"visibility":"public"},{"name":"chain_id","type":{"kind":"integer","sign":"unsigned","width":64},"visibility":"public"},{"name":"message_hash","type":{"kind":"field"},"visibility":"public"},{"name":"secret","type":{"kind":"field"},"visibility":"private"},{"name":"siblings","type":{"kind":"array","length":16,"type":{"kind":"field"}},"visibility":"private"},{"name":"indices","type":{"kind":"array","length":16,"type":{"kind":"boolean"}},"visibility":"private"}],"return_type":null,"error_types":{"361444214588792908":{"error_kind":"string","string":"attempt to multiply with overflow"},"14990209321349310352":{"error_kind":"string","string":"attempt to add with overflow"}}},"bytecode":"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
23sZtsbiYbkMd5nltcmNZpnoiFMQP8Y+O+VhK/rAu6eYeHrmX/DI2wtR8ijzN7e9jVISX5FQNnNxerD/d//Rsm6CfCaupyl2aA8alvUhZ5nCkPEDt06DmhQ88NHXo+6NATm8DuorlqNevjo4s3/wzs4dNhzXhf9NRI3pc3IjHJzEdeRnnWR2/7duQAWFPh0FtbI513UOHQb9+BHXrB2R76GODH2vz7B9D9kqVCmfobBtlzS1x9b7IxbTOs+lVqXlvxLDvaucZFZEY2TKyWibJuFo3Y7GnR1Pw+Oa2d7v7AuhPzN5g/C9RWeJNAHvqlfcWP+oVD6x4uDO3RfeBd8ZWJnyPu1OIqCedn34+ZXe0iDz3lMWOHRoMTGg1uaDT4oNEQgEaD2CqG0YbJ7lr+xB/7fgWsZttvm6XFbRCuIJm/kjWez9PgXPqsD6iNDXJMdlJhNHbuRDrvosJo2OzCRkN0tqMRC/zY3cQ181l27m5Z2nbij5K8/NhbljeRhqEbOro/nTZuCy/wuXM7eYYHP4W6GrxCr6TsE44a2P+39HqB13lJm5z191f0RibYe/aRoyHD/JOm8Ku/O+1N40H3yDU7eo5ObNAJ8NZP+1147xvD+lxyNCgPIzs0QJzQAHFDA8QHDZAANECC0AARG8rivrD2k+nbNbIizNmXD0zFWO24rKrZQDt0bQNNqlr0pT2zPsa7dyOHyZYKA2Rri3S2o8IA7bbDBkhitgN0A/ixe4hreIMFPu9beMhuIEhNUm+lofCyjiNdmxczxsjZ0jwTdJTwmPn3wceT0jINbmnPlSZP/tohm6VV61ipzc8ZP9pak5Yd8Kxy5hd1AzKcDbU0uUOpy87T1FmvWPL0xONbk3+TO15xcnE/yfYlB4jyyLJDY8YJjRk3NGZ80JgJQGMmCI2ZKDRmxLYvKIy4mcjh2HVoYfO91ztkDXbfN2X4c2Z+ip5g/qPN3px/Zn3Y9+xBjtxeKozZ3r1I531UGLM9+7Axm+3fbl+OA36sPXGNWMSfE68So4Y3BzZnvVC+dV76gfgVy8DgAAOD5McD6a+ekmO2xFrYrzp/yylr834p0a7Hg7QViU1fP7SIFTsYx6Zx+7CRYyZwUr5yvMwioHzRNu4S3axPRxPDOaqWa/SXr9GSqckXESfHjPJgs0PDyAkNIzc0jHzQMApAwygIDaMoNIwS0DASh0OmetM7xajS75rXy2sVFp5SfP3s5/xHxaaDcZ6qywUkuNNmPRL29sjBdKDCMDo4IJ0dqTCM9o7YMCrOdhhvAj92/79/KSU9129iUy0K3F8a539rySTNxfzCg/7SLqH+eX57vvGmkMPIvb3j8IfUnlxG3SnpkFFWfsu4Jpfl9719ctk7v8gFl1iRw8jppXb35Ty5R25KmlLqE7EX6A9H/ei88FriyCpfwSeqCsnkMFIef3ZoZDmhkeWGRpYPGlkBaGQFoZEVhUZWAhpZWWhkiSPEwOBwpoiHQ+r04eAeRefkiFiFmsp7FZ+vhyick8tX398368HZvx85vgeoMLIHDiCdnagwsvudsJGd9V8FxwM/1pm4ZkGNgqjIgnMeL5cpZ7bskbxo+ObraYNbsaynvFkT87XZvs98nlyV3FamoeQWn7zsxWXpYZrjbCX0B2wmGd651GhK6yprkSPLZlOzPiqYQfX4vaKsDp+7Slf7ZQpDhG219tCy3bdZdmOEHFnKIcEODTYnNNjc0GDzQYMtAA22IDTYotBgS0CDLQsNtiI02MRBW/bgvFrTY53YxYxX9MfPHjUzoA9+sI/BQNz63nsr1h5nyVmPl7MzcshdqDDYLi5I54NUGGzng9hga852sFto2IAf7EpcI7LpzkPTldLaf6WW9f/Ztz+J2WYw54M07+J77/2ZoiKYlGd+uylbVKPKNOizo2Z0ecw8pihFlebexyaCZ4uKr39N54thJkd7yZLfpyaf3OZtfPXX4vptwwEzs2BHfkOFsprKY1l3RNP6yNGmHCbsUABwQgHADQUAHxQAAlAACEIBIAoFgAQUALJQAChCAaAKBQBxIPm2dPN+zh2YNK09uGlfy4rT/EeZrDivh5j/Sd8QZbLvNuusx9DVFRmGQ1QIgEOHkM5uVAgAVzcsAAxmHwDswA92/xcAvleFX+g3yfFZ5B61bXgUmK9nYvRKyvvxr2MMgrJl/ofJAOCQapjPLmL7IUmt91tOccuN/Gdi0S2OXHuPs+g/nmS9pUAGwErbS0s3Kz2Z98vLV0Xj/cNVW8zZXF9We3nLprG/SJ6w1SMDgHLksEMxwQnFBDcUE3xQTAhAMSEIxYQoFBMSUEzIQjGhCMWEKhQT2Dco/h3b5Ef+f9QLdiptubzIZrXp1gtMSe8MThzqsV/JwnfmYMunWQ+ruzsyMoepEBOHDyOdPagQE+4eWEyYzD4mOIAf7PnvEC4TWT02vMEp+8B26byihP9yR51FFvz1X+Stcyup0qNObuYvkd1s7OtGT90U6NjyQ8rl0zArR6qvkull37GoBftGBUefkjGxOMA6aXhRVBgv63zjDJY81wWXvDm6VI6ukXS6R9f2OpRuJiYoBhM7FCacUJhwQ2HCB4WJABQmglCYiEJhIgGFiSwUJopQmKhCYaIJhYkBFCbE4eb7dDPyx21bOv7cZtqLJxXPHovna45grmzd/cJiQFKUd8WsR9rTExmsI1QIkyNHkM5HqRAmnkexMLGafZhwAj/Y699RfSGpM6b0UzDgQZjNdqfvNvK7s79aLa6zY7k7T5C2Imo9GSYiJV/fcdad0ExaI3A1knPj0g1//D//NmCsfric7eXnpeEdM2GyOU2K/277prT/MkUO0VWf1YnqYvX7GC+sZzwxEtgUvmPm74goxhc7FDmcUORwQ5HDB0WOABQ5glDkiEKRIwFFjiwUOYpQ5KhCkaMJRY4BFDkmUOQQIyDy4OP86ugwRZdDPxf+4jo3JLGo/hWju4wii0T20LB4/+NZD76XFzJ+3lSIHG9vpLMPFSLHyweLHLvZRw4X8IOP/RuhIfe7S3kWWzrYdVku+21/MU/Ub8/Kqxsi332Od/zxZlspGTnMga/olr1y5hbwVU/YVquyKLadxuBws1qYDIfLvIAbJ6/OfJMq8l3vdimvs16enWLfnH+L2CVd0v2rvsbw5ibz9RZX/7DP/BUXxZBjh4KJEwombiiY+KBgEoCCSRAKJlEomCSgYJKFgkkRCiZVKJg0oWAygILJBAomKyiYiEHh4CzVuz1ivnrl2KTtct7fJysE6nJL2CZG/Y6lSounS1yadTwcO4YM6XEqBNPx40jnE1QIpmMnsGBymn0wcQM/+OS/yGneWGCuV95mGPx9C+/RV6LLMi0+9H/mem7p/znkSaZZOBlMDOYj4nTNt29drr/KwR+aZU/PZPG3lmaN7e7a9CHt6w9TZj5boSuIEzzVM19vBYewpFLfj0jdR6PRbjmZHTvK//4+7L125uNQilHIDsUXJxRf3FB88UHxJQDFlyAUX6JQfElA8SULxZciFF+qUHxpQvFlAMUX9qU+Kyi+7KD4IsZJrGef7Wb9Qbe80Cma2w+HfPaMclxVFs1yt5g8dPC83wfvWYfIyZPIKJ+iQnydOoV09qVCfJ30xeLLc/bxxQP84NPENSwsa/0K6Y8dOs1h7LVumfbVo+VK0jfobqgKeXMmRAqy5c18fsR4w3yJ7ujNJzrXulNUb4qwBLDLOQTUG0/JfGM+uuh8xkx8hWn9TC63HStN37v95+624sQgm7JdHmq8H30ZPYtaHhiR8UU5MNmhkOOEQo4bCjk+KOQEoJAThEJOFAo5CSjkZKGQU4RCThUKOU0o5AygkDOBQs4KCjk7KOScoJAjhk72vW73wv7ab/vnW62IcGpvGhf5/u7hxOJVx+rGXlpekyiZddScPo0MfJUfFVKuyq/KD2ruT4WgO13ljyXdqdknHS+yqDPERdymXqv3in9VucE+EGoX8siNqWZ5Ys+TZ3LCeve/nKOzm09GHe3jYZ3EGENHTT2ua1ylgV5JUf7L17IXmjf1PeeOWeS2kYy6VVplaxgvrZP58XDReLbOxsGDEqYPOUVvj3bUX6/YdSuogYw6yuHKDgUiJxSI3FAg8kGBKAAFoiAUiKJQIEpAgSgLBaIiFIiqUCBqQoFoAAWiCRSIVlAg2kGB6AQFoicUiMRsMv1YtGOINehu86LnZgdrvg+WirJ2xv11EnVUqFmf4MI9+2+tVJ2pOgOlUgA1IjGgKgBqfpYKkUis/CyWiUGzz0Q+ZFXn/mXiMvtzltJmcTXq7A6TlS+sRYSeR6vWr1o+mi5g8WzvZR4yE1mr2HSfaK38VnDlduIxI8Y1eqVlDIofnbe0u07wVTi9vUZmIutlz1BzuR3evxkSIuWKCr2Omuh8q/RYMTU4L2QDm7ruQTITKacwO5ScnFByckPJyQclpwCUnIJQcopCySkBJacslJyKUHKqQsmpCSWnAZScJlByWkHJaQclpxOUnJ5Qcp6CkpOYYNqInL0sPs1rt/7he+pYO5GymM9DseNBppzBf+UfBbR9l84+vM5VnYPCK5AayRlYFQg1P0+N5DxXdR5LzojZJ+cSZFVBxEXikqID1kIrnV7Ey0w8b2X32Fnj9Cwx58Wpt4
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
23w6YmQU78hsqlNVUHsu6I5rWRw475XjpgCKhC4qEbigS+qBIGIAiYRCKhBEoEiaQSJgedsqRwABFAjMUCcSR5NvSzfs5d2DStPbgpn0tK07zH2Wy4rweYv4nfUOUyb7brHMYyV1EYSO5myqRsJsorL8tVSKBWL8tFgn8s48Edmhh/57gTvGdcdORwCHVMJ9dxPZDklrvt5zilhv5z8SiWxy59h5n0X88yXpLgYyElbaXlm5WejLvl5evisb7h6u2mLO5vqz28pZNY3+RPGGrR0YC5RDqgIKjCwqObig4+qDgGICCYxAKjhEoOCaQ4JiOBMrBwQAFBzMUHJxQcPw7uMmP/P+oF+xU2nJ5kc1q060XmJLeGZw41GO/koXvzMGWT3MYXDuisMHdQ5Xg2EMU1n8vVYLDjvjBWHCIzD44OKCF7QsHXklJ/hW2m4193eipmwIdW35IuXwaZuVI9VUyvew7FrVg36jg6FMyOBYHWCcNL4oK42Wdb5zBkue64JI3R5fK0TWSTvfo2l6H0s0EB8Wo6oDipQuKl24oXvqgeBmA4mUQipcRKF4mkHiZDg7K8cIAxQszFC+cULzwQ/FCHG++Tzcjf9y2pePPbaa9eFLx7LF4vuYI5srW3S8sBiRFeVfMYbz3EYWNtz1V4sWeKKy/A1XihVi/AxYvUrOPF05oYY7hwHtxp+NFpOTrO866E5pJawSuRnJuXLrhj//n3waM1Q+Xs738vDS8YyZeNqdJ8d9t35T2X6bIIbrqszpRXax+H+OF9YwnRgKbwnfM/O0TxUDrgEKoCwqhbiiE+qAQGoBCaBAKoREohCaQEJqOF8ohxACFEDMUQpxQCPFDISQChRAxBCIPPs6vjg5TdDn0c+EvrnNDEovqXzG6yyiySGQPDYv3z+UpkI5EYSGwnyohtJ8orP8BqoQQsf4DWAgpzj6EuKCF/XtxFcVXeE+HEHPgK7plr5y5BXzVE7bVqiyKbacxONysFibD4TIv4MbJqzPfNIt817tdyuusl2en2Dfn3yJ2SZd0/6qvMby5yXy9xdU/7DN/eUYx9jqgqOqCoqobiqo+KKoGoKgahKJqBIqqCSSqpkOIclQxQFHFDEUVJxRV/FBUiUBRJQVFFTEqHJylerdHzFevHJu0Xc77+2SFQF1uCdvEqN+xVGnxdIlLc4gKJ6KwqHCmSlQ5E4X1d6FKVBHrd8GiSn32UcUNLezgvxBq3lhgrlfeZhj8fQvv0VeiyzItPvR/5npu6f855EmmWTgZVQzmI+J0zbdvXa6/ysEfmmVPz2Txt5Zmje3u2vQh7esPU2Y+x6EriBM81TNfbwWHsKRS349I3Uej0W45mR07yv/+Puy9dubDWIrh2AEFWhcUaN1QoPVBgTYABdogFGgjUKBNIIE2HVWUA40BCjRmKNA4oUDjhwJNBAo0KSjQFKFAIwZKrGef7Wb9Qbe80Cma2w+HfPaMclxVFs1yt5g8dPC83wfvOQTKQaKwQHGlSqC5EoX1P0SVQCPWfwgLNP3ZBxoPtDA34ioWlrV+hfTHDp3mMPZat0z76tFyJekbdDdUhbw5EyIF2fJmPqtivGG+RHf05hOda90pqjdFWALY5RwC6o2nZL4xH110PmMm0MK0fiaX246Vpu/d/nN3W3FikE3ZLg813o++jJ5FLQ+MyECjHKEdUOx1QbHXDcVeHxR7A1DsDUKxNwLF3gQSe9OBRjn2GKDYY4ZijxOKPX4o9kSg2JOCYk8Rij11KPaIsZN9r9u9sL/22/75VisinNqbxkW+v3s4sXjVsbqxl5bXJErmEDtuRGGx406V2HMnCut/mCqxR6z/MBZ7prOPPV5oYR7EVdymXqv3in9VucE+EGoX8siNqWZ5Ys+TZ3LCeve/nKOzm0/GHu3jYZ3EGENHTT2ua1ylgV5JUf7L17IXmjf1PeeOWeS2kYy9VVplaxgvrZP58XDReLbOxsGDEqYPOUVvj3bUX6/YdSuogYw9ykHbAYVjFxSO3VA49kHhOACF4yAUjiNQOE4g4Tgde5TDkQEKR2YoHDmhcOSHwlEECkcpKBwVoXCEnsXCqw+FIzGcTD8W7RhiDbrbvOi52cGa74OloqydcX+dRB0VatYnuHDP5Xs4HkRh4eRJlXD0JArrf4Qq4Uis/wgWjjazD0c+aGFH/4XjMvtzltJmcTXq7A6TlS+sRYSeR6vWr1o+mi5g8WzvZR4yHFmr2HSfaK38VnDlduIxI8Y1eqVlDIofnbe0u07wVTi9vUaGI+tlz1BzuR3evxkSIuWKCr2Omuh8q/RYMTU4L2QDm7ruQTIcKcdxBxShXVCEdkMR2gdF6AAUoYNQhI5AETqBROh0OFKOUAYoQpmhCOWEIpQfilARKEKloAhVhCJUHYpQfShCTaEIJUaYNiJnL4tP89qtf/ieOtZOpCzm81DseJApZ/Bf+UcBbd+lc4iwo0RhEeZFlQj1Igrr702VCCXW741FqOPsI3QJtDAf4ipxSdEBa6GVTi/iZSaet7J77KxxepaY8+LU20CbYKNDhd4z36liG780OibPsdP29NttT8qa1ZVbYoe2FAUZ3lA51sqk+JqM0AVTxSWpNKlWOX4SpmcXFa/UzunXZ4u5Jq3bXGQ/JvHJeyZCKYZ2BxS0XVDQdkNB2wcF7QAUtINQ0I5AQTuBBO10hFIOWgYoaJmhoOWEgpYfCloRKGiloKBVhIJWHQpafShoTaGgtYGClhj0BRe0cgfHhVZWh3lMqI0Y5fd0ym2uUlzKuYrRI08i5I/FHILOhygs6I5RJWiPEYX1P06VoCXWfxwLWo/ZBy0/tLAT/64Su30570+g0pLJjawVNVOyPtd4l9dlbF2VrOy847pbtT0ZtAvs+xxbmpx9QrpT5Zbvl3i921tL2d9RhllWqYzT4h63FBm0C48IV6yRftEmfPYb/QbvhZVnHTPr6IJeXN87/irge9NjHjJoKUd7BxTHXVAcd0Nx3AfF8QAUx4NQHI9AcTyBxPF00FKOYwYojpmhOOaE4pgfimMRKI6loDhWhOJYHYpjfSiOTaE4toHi2BGKYyIOWJhVXa02Vd/9EHBRPmLB00rRsuYV7iFxr8wyU47fKuKdSxyfIAqLw5NUieOTRGH9T1Eljon1n8Li2Hf2cSwALcyXuErqL9u2YG7VEtqXjE2mbe8uKhbnl3xaJP6nipXV2u6qRjwZx9KWmY0J+c+Yh59k1V5bwPt0xTManrFvD1xuaY+4SYwUfp15llrK68iOPxybb2l5Ofic0pQb3lVNcyZC7t0H+kpegc/ycmQcUwZABxTaXVBod0Oh3QeF9gAU2oNQaI9AoT2BhDYZxxRDmwEKbWYotDmh0OaHQlsECm0pKLQVodBWh0JbHwptUyi0baDQdoRC2wMKbSI0ZGUPMhwI3rXnzsUy286a7ImUtGZd3xAx5Usm7Ef+sJ5eNIfQ9CUKC83TVAnt00Rh/f2oEtrE+v2w0A6efWgvhRbm/++Ix/9R6W6pFLvOe75/+brAY+csRWNk+45mzVssXtXJFKlBhvbypR/up7h1GIZ/TKuw3CFXXlO4s/HUOrsg06sRBZGXXwmQoS3ecOj1gydLvqoXyemwtvrulmFMbhD6WqfX6hncVcT1PJYMbcqY6ICivQuK9m4o2vugaB+Aon0QivYRKNonkGgnv2NCMdoZoGhnhqKdE4p2fijaRaBol4KiXRGKdnUo2vWhaDeFot0GinZHKNo9oGj3haKdiBZh9bLLTbYsJzhqWrec91ha023E/JtrMduiLuMI3wsD0kfnEK3+RGHReoYq0X6GKKx/AFWinVh/ABbt0bOP9mXQws4SVy0VM/A6QKsd2pxffVKqf+vhvVMbaz0v8ie2NgZ973zLPPP9HsmrHXIbSlPD9QJku2/qLojpY5UqvnpnNV3rxOcJkb33emc+ymu5ZXOe4Uh20+Yxm6f9HatFzZfdWNusLNOrxmlftP1R6MxzKinCpAMCQBcEgG4IAH0QAAYgAAxCABiBADCBAID8fg9FADBAAGCGAMAJAYAfAoAIBAApCACKEADUIQDoQwAwhQBgAwHAEQKABwQAXwgAwRAAiADiUz9tkJe+JvEYz4I+ywV1E97FBaNtfWE3HVkb4tzuKyXMIYDPEoUF8DmqAOAcUVj/QKoAgFh/IAaAxNkDYDm0sPPEVaJGnMr0my0NTV2cH/g+5Gx/rMQyVm9dn6Z8n+X9Z4sYv5nvj49Jr+lzYsu+U3ErN6vhV4HOGXfuYt2tV/Qmcu5puKY9nHnwRFaMoViDacPjTY92M1cus156/uXqZ010nq8WZ/1deYZdlAQAZeR0QJj
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
23StSGz6+qFFrNjBODaN24eNHDyBk/KV42UWAeWLtnGX6GZ9OpoYzlG1XKO/fI2WTE2+iDg5eJRHPRsaz1xoPPOg8cyHxrMIGs8SaDzLofGshsaTOB4y1ZveKUaVfte8Xl6rsPCU4utnP+c/KjYdjPNUXS4gwZ02h/HQIgobD22qjKc2UVh/HaqMJ7F+HWw8m2Y7njehZemGAy8BmB5P7u0dhz+k9uQy6k5Jh4yy8lvGNbksv+/tk8ve+UUuuMSKHE9OL7W7L+fJPXJT0pRSn4i9QH846kfnhdcSR1b5Cj5RVUgmx5NyIGRDQ5wLDXEeNMT50BAXQUNcAg1xOTTE1dAQ10FDTBwiBgaHM0U8HFKnDwf3KDonR8Qq1FTeq/h8PUThnFy++v6+OQyRLlHYEOlRZYj1iML661NliIn162ND3DrbIY6HlmUQDrzvg/wMvCq5rUxDyS0+edmLy9LDNMfZSugP2EwyvHOp0ZTWVdYih5jNpmZ9VDCD6vF7RVkdPneVrvbLFIYI22rtoWW7b7Psxgg5xJRjIxsa9Vxo1POgUc+HRr0IGvUSaNTLoVGvhka9Dhr1JmjUiaO27MF5tabHOrGLGa/oj589amZAH/xgH4OBuPW991asPc6Scxg1A6KwUdtIlVHfSBTW35Aqo06s3xAb9dm+O+VyCw0btDCjcOAVQORvUmWLalSZBn121Iwuj5nHFKWo0tz72ETwbFHx9a/pfDHM5LAvWfL71OST27yNr/5aXL9tOGBmFuzIb6hQVlN5LOuOaFofOeyU4yUbioRcKBLyoEjIhyKhCIqEEigSyqFIqIYioQ6KhCYoElqhSCCOJN+Wbt7PuQOTprUHN+1rWXGa/yiTFef1EPM/6RuiTPbdZp3DSBoRhY2kMVUiwZgorP8mqkQCsf5NWCT0zz4S2KGFbQ4H3h02HQkcUg3z2UVsPySp9X7LKW65kf9MLLrFkWvvcRb9x5OstxTISFhpe2npZqUn8355+apovH+4aos5m+vLai9v2TT2F8kTtnpkJFAOoWwoOHKh4MiDgiMfCo4iKDhKoOAoh4KjGgqOOig4mqDgaIWCoxMKjn8HN/mR/x/1gp1KWy4vslltuvUCU9I7gxOHeuxXsvCdOdjyaQ6Du5kobHC3UCU4thCF9TehSnAQ6zfBgmN49sHBAS3s3yP4Kb6akPwrbDcb+7rRUzcFOrb8kHL5NMzKkeqrZHrZdyxqwb5RwdGnZHAsDrBOGl4UFcbLOt84gyXPdcElb44ulaNrJJ3u0bW9DqWbCQ6KUZUNxUsuFC95ULzkQ/FSBMVLCRQv5VC8VEPxUgfFSxMUL61QvHRC8dIPxQtxvPk+3Yz8cduWjj+3mfbiScWzx+L5miOYK1t3v7AYkBTlXTGH8TYlChvvrVSJl61EYf3NqBIvxPrNsHiZnH28cEIL+/dMforvR52OF5GSr+84605oJq0RuBrJuXHphj/+n38bMFY/XM728vPS8I6ZeNmcJsV/t31T2n+ZIofoqs/qRHWx+n2MF9YznhgJbArfMfO3TxQDLRsKoVwohPKgEMqHQqgICqESKITKoRCqhkKoDgqhJiiEWqEQ6oRCqB8KoWEohIghEHnwcX51dJiiy6GfC39xnRuSWFT/itFdRpFFIntoWLx/Do/6m29OFBYCFlQJIQuisP6WVAkhYv2WUH8B+tmHEBe0sG3hwKucp0OIOfAV3bJXztwCvuoJ22pVFsW20xgcblYLk+FwmRdw4+TVmW+aRb7r3S7lddbLs1Psm/NvEbukS7p/1dcY3txkvt7i6h/2mb88oxh72VBU5UJRlQdFVT4UVUVQVJVAUVUORVU1FFV1UFQ1QVHVCkVVJxRV/VBUDUNRNYlE1b9R4eAs1bs9Yr565dik7XLe3ycrBOpyS9gmRv2OpUqLp0tcmkNUbCMKiworqkSVFVFY/+1UiSpi/duxqGKdfVRxQwuzDgfeTT8dVQzmI+J0zbdvXa6/ysEfmmVPz2Txt5Zmje3u2vQh7esPU2Y+x6EriBM81TNfbwWHsKRS349I3Uej0W45mR07yv/+Puy9dubDWIrhmA0FWi4UaHlQoOVDgVYEBVoJFGjlUKBVQ4FWBwVaExRorVCgdUKB1g8F2jAUaJNIoAnQQ4FGDJRYzz7bzfqDbnmhUzS3Hw757BnluKosmuVuMXno4Hm/D95zCBRrorBA2UGVQNtBFNbfhiqBRqzfBgs0vtkHGg+0sJ3EVSwsa/0K6Y8dOs1h7LVumfbVo+VK0jfobqgKeXMmRAqy5c18VsV4w3yJ7ujNJzrXulNUb4qwBLDLOQTUG0/JfGM+uuh8xkyghWn9TC63HStN37v95+624sQgm7JdHmq8H30ZPYtaHhiRgUY5QrOh2MuFYi8Pir18KPaKoNgrgWKvHIq9aij26qDYa4JirxWKvU4o9vqh2BuGYm8Sib3pQKMce6xQ7BFjJ/tet3thf+23/fOtVkQ4tTeNi3x/93Bi8apjdWMvLa9JlMwhdnYShcXOLqrE3i6isP67qRJ7xPp3Y7EnMvvY44UWZktcxW3qtXqv+FeVG+wDoXYhj9yYapYn9jx5Jiesd//LOTq7+WTs0T4e1kmMMXTU1OO6xlUa6JUU5b98LXuheVPfc+6YRW4bydhbpVW2hvHSOpkfDxeNZ+tsHDwoYfqQU/T2aEf99Ypdt4IayNijHLTZUDjmQuGYB4VjPhSORVA4lkDhWA6FYzUUjnVQODZB4dgKhWMnFI79UDgOQ+E4iYTjdOxRDkdWKBz5oHAkhpPpx6IdQ6xBd5sXPTc7WPN9sFSUtTPur5Ooo0LN+gQX7rl8D8eWKCyc7KgSjnZEYf33UCUcifXvwcJRdvbhyActbO+/cFxmf85S2iyuRp3dYbLyhbWI0PNo1fpVy0fTBSye7b3MQ4YjaxWb7hOtld8KrtxOPGbEuEavtIxB8aPzlnbXCb4Kp7fXyHBkvewZai63w/s3Q0KkXFGh11ETnW+VHiumBueFbGBT1z1IhiPlOM6GIjQXitA8KELzoQgtgiK0BIrQcihCq6EIrYMitAmK0FYoQjuhCO2HInQYitBJJEKnw5FyhLJCEcoHRagIFKHECNNG5Oxl8Wleu/UP31PH2omUxXweih0PMuUM/iv/KKDtu3QOEbaXKCzC9lElQvcRhfW3p0qEEuu3xyJUZfYRugRamANxlbik6IC10EqnF/EyE89b2T121jg9S8x5ceptoE2w0aFC75nvVLGNXxodk+fYaXv67bYnZc3qyi2xQ1uKggxvqBxrZVJ8TUbogqniklSaVKscPwnTs4uKV2rn9OuzxVyT1m0ush+T+OQ9E6EUQzsbCtpcKGjzoKDNh4K2CAraEihoy6GgrYaCtg4K2iYoaFuhoO2EgrYfCtphKGgnkaCdjlDKQcsKBS0fFLQiUNDKQkFLDPqCC1q5g+NCK6vDPCbURozyezrlNlcpLuVcxeiRJxHyx2IOQedAFBZ0jlQJWkeisP77qRK0xPr3Y0GrO/ug5YcWduDfVWK3L+f9CVRaMrmRtaJmStbnGu/yuoytq5KVnXdcd6u2J4N2gX2fY0uTs09Id6rc8v0Sr3d7ayn7O8owyyqVcVrc45Yig3bhEeGKNdIv2oTPfqPf4L2w8qxjZh1d0Ivre8dfBXxvesxDBi3laM+G4jgXiuM8KI7zoTguguK4BIrjciiOq6E4roPiuAmK41YojjuhOO6H4ngYiuNJJI6ng5ZyHLNCccwHxbEIFMeyUByrQHFMxAELs6qr1abqux8CLspHLHhaKVrWvMI9JO6VWWbK8VtFvHOJ4wNEYXHoRJU4diIK6+9MlTgm1u+MxbHp7ONYAFqYC3GV1F+2bcHcqiW0LxmbTNveXVQszi/5tEj8TxUrq7XdVY14Mo6lLTMbE/KfMQ8/yaq9toD36YpnNDxj3x643NIecZMYKfw68yy1lNeRHX84Nt/S8nLwOaUpN7yrmuZMhNy7D/SVvAKf5eXIOKYMgGwotHOh0M6DQjsfCu0iKLRLoNAuh0K7GgrtOii0m6DQboVCuxMK7X4otIeh0J5EQns6jimHNisU2nxQaItAoS0LhbYKFNq6UGgToSEre5DhQPCuPXcultl21mRPpKQ16/qGiClfMmE
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
23CIoxEBTTISjmQVCsgKDYAkHxCwLFaQJShqIABMVlEBSNICg6Q1D0h6AYB0HxGgTFYgiK0It5pglIEYqyrBAUCagILtBazsNz8NvDio/P+ct3PHANtjNzira98MLr8/gen+ieOUDtDLEwqJ2lChTPEgu7fgpVoEjsPwWDouHsoagFbewc8SmRE8YvN3XvOMYf0/fwG3veWUntmug9PImN/Oob2K+yOX0jocjwyoLFcW0K0614/Q198qYxqSFFra75Js1vwz4+/bw1MZ6EIpvmy87HfLoNyhyCeQ/nLSxSYliibnCyTtj+9TaNtpzuUhKKlGmqDnFSA+KkFsRJHYiTuhAnDSFOmkKctIQ4aQ1x0gHipAvESXeIk14QJ/0hToZAnIyEOBkPcTIF4mQGxMkciJNFECcrIE42QJzsgDjZD3FyDOHkNBQpc5IX4qQkxElViJOGECftIE56QJwMgjgZA3EyHeJkHsTJCoiTLRAnvyCcnIYiZU4KQJxcBnHSCOKkM8RJf4iTcRAnr0GcLIY4Cb06aRqKFDk5DUXKnJSBOElwhrWuhJnOrrSxsF7efIe+Q67hZZ5iLT7p5C+aSeFJhRcZ5sC5c8TCOJdKFU6mEgu7fhpVOEnsPw3j5JbZc3IVtLHz/x44+8LEtoy3utdlX52/FvDS+1sn2983IandDxZVr1gQv2+K5CTrM7al52MUDmbmXn7FuXG8aWQPg+WpmKR8p6ojzZ0hR3VJTkq0ZMVssdRV4qoQiNM7r/dHz3KH/Pj9tWMWRvKuiuvdZl6dRBmw6hA6NSB0akHo1IHQqQuh0xBCpymETksIndYQOh0gdLpA6HSH0OkFodMfQmcIhM5ICJ3xEDpTIHRmQOjMgdBZBKGzAkJnA4TODgid/RA6xxB0kq9OoohOXgidkhA6VSF0GkLotIPQ6QGhMwhCZwyEznQInXkQOisgdLZA6PyCoJPkJEV0CkDoXAah0whCpzOETn8InXEQOq9B6CyG0Am93GqakxTROc1JyuiUgdBpCKGTQM8Cjpzi/UIPaGNT6NflSV8vFInIicqJY1i6WZjlROBV07E5oO88sTD0pVMFnenEwq5/gSroJPZ/AUPnodmjUxva2MV/A63klri5Sa7qxqfnOXX/vFm1auE+5TfFnIx/l1hdkGwZDibRKTFe0X+ly95kyWnHpM1nY+7dXsC8yOGG/4+R3WzqMk1KAyQ6F9W41gdd2/s00PJXkdjQiom/WeHsRw7YrE62aoufPKc1RaKTMnPVIZpqQDTVgmiqA9FUF6KpIURTU4imlhBNrSGaOkA0dYFo6g7R1AuiqT9E0xCIppEQTeMhmqZANM2AaJoD0bQIomkFRNMGiKYdEE37IZqOITSdRidlmvJCNJWEaKoK0dQQoqkdRFMPiKZBEE1jIJqmQzTNg2haAdG0BaLpF4Sm5DseKNJUAKLpMoimRhBNnSGa+kM0jYNoeg2iaTFEU+j1Y9PopEjTaXRSpqkMRFNDiKZbIJoSNBJNdZZQeZIvZXLepJ2NzuVtQK1xeVHUz3erzp45qsRvnjAHGl4kFkbDS1Sh6SViYde/TBWaEvu/jNE0dfY01YE29i+r8slSBhuPHljN5KPBlqeWu7CvRdnH8VqojIrnwIeCqomZr4aWOlf0/eBrD87h5uxxiQpVYeGz2UoVrw7K7ew0KZCMOeVN0nQJX3vBdfOa8Ot8BmZv263OK1/TbN8dpbR0bDvTm9hTrqtImlLGsDoEWA0IsFoQYHUgwOpCgDWEAGsKAdYSAqw1BFgHCLAuEGDdIcB6QYD1hwAbAgE2EgJsPATYFAiwGRBgcyDAFkGArYAA2wABtgMCbD8E2DEEsNM0pQxYXgiwkhBgVSHAGkKAtYMA6wEBNggCbAwE2HQIsHkQYCsgwLZAgP2CAJZ8vwZFwApAgF0GAdYIAqwzBFh/CLBxEGCvQYAthgALvSBumqYUATtNU8qAlYEAawgBdgsE2EMQYAlACbx6G1kSxNX4Ym+AcG9hULdnwv3Op/d1dy3T9I//EBkyl/fnZhALA+QVqgD2CrGw61+lFiD/Pa4Kxi06qkPCQqndC8LGrvGqb5Aw6Dy5S1ZhmXfyczG3NB4SkDRnv9k4xAqlfOeqPvaj94tHZ7294ifjujcraWyz1r9hqSIBya0YvmF0u0NSJL+M5Ob3iZW0Jyre1//8U2ZGH+krXBioQgKS8XHO8YOVuVbzLnS80Z464/LiWvWE2a73r7KT9W78Cnr0lwTkwmMJn+cfflDALMi6p+9b2PLPfk5dnV5pU4HmtLXaIpVXZ/5CXViGjta8WuzuKpaeI6o7k6y8L6W77+um22SfO8L9uNibBCT/6wvzH9tHb1028PH2U6GWgcjC+49Kdxc/DvBNbmblejxCApKT7sXw+FKGM+M2FrvFGYoe5mXebtqQ+H7l/NJ1R4MqDrTOvL92fFXtM8G1db1fJh6pCSup53DJRi9P/HJWdINpwdBbtnoSkAwjjzdsyLJI//LFM2PVCsbIXmXBqs7nz7wkc6/Eeg7LXJ/5oh5NadXobvrT37s1OEWOvN5qJ3ki0GLBgzvFymIBj6YuZc4A8oWexVWNzefo9nFGDL6QiciP4FzNzm9+4jRPhW7ijt1JM+8WYc9aXHj63XU6+vm6ZWa1zk9y/zRf8o3fdkPKx1LPOWg9CUj6ydc8R1wXjC4t/N6g+D575UTOfFejo+/uFRu07Dq9NdaYBKR4d6jZYzonUf4P+6O4a+86Hv96Q0N6n+lUt/CC0JU69kokIEWznPfci938hMtupPKJRsKG3rR9F9rzk8yqRoztWXYNLiUBKWXCbvssq2BZ3MFgsayG+mqdwfyR2j7+bfrWYgdSixekzLygTa3o3MLnpy/vi57MDjAPLzoxn/9u5rbHIWqDvxfWZOtyzHy/YonLhoNV+zp5lUce1/xJPpl4OMLuYuxaNkWVv8JSBTv7SEBK6R0P22uRxSba+rVDJL3uLNvDwbD9KzhjN755n9PqVuJLAlLe4Nzr/L/flvxXcHreIY9IX51mPvNVjYyrz3d2b//rrmdGApKD4+cCfcYm3TKjVDYOm/A9I6XXdDI++Lhqxr95MrZnCd3M+2s7q52Cxssmsyb6zfn0XULWbT3IMM4S16CffT5hzd+CqRlAfl/dWHL8I9/kw1ofPp17+7/HrfiVRF+queP6H93sD20SJCClT+zfq93waojTouK2Wk/jee8U6QZevRTVVBYWvuuNK8/N/PvM9YpBpd9NFqzhkr1cUu7t/ftMpwKfzZfS1259QSHtx31IQAqFyzExyeTUK3yMbfYJUD/B/UKB1bhV4f6LT35PemivKpOApJPg3FLEe/vDto9adrV7l8XE1q0ZonFzNS1cXJ924veCeyQgGS71rqUJHN4ePnRKnEZ/d7aIEo1jkF1CgKlTxt6v6xUmSUAujRwU7OSrWZsftjC18fHwr4HzkWzL+4fbNKbuLTV7MHGbBKTk36qxml0X81n2G7Ucax1VeH3/ik7O77tr7/n0muzg/mM/84XX9P8tea5ubfh+WVvhKu2sy2Em7/TX37l1++Mae9N7yRtoSUDybDn4NWYknl5tuJlXlkFoy/6HQh8PHz448mvkEv+l82uvzrygzSyutZLr/uX1wiWXagW3/Dl06vuO5Xtka12uG8R+k3vHTAKSOzMiKEi3lYYu/+EWHiMVnbafe0pjTd9Y+YZaK7pmTfGSgBQMVd6iEsyYuebt4piz4TmXBi+3yyVzdHMH+v9MatcMryIByeklm1dSFf+mgk3Z6EfKY75QbsEFvmZLFqRUbq2+WD3+gwQkfd+rmuc97bs/r40z3ZQwbzCifpdu+Y+W3WsN+kt8Bnvfk4Dk/6StLRix/37W8pM5GdrvzOXW0m2TP3f3Y9kDsQcOa4wkSUBKcsgL7metSVi1IKjTgWug5KJbtfyjH49YQka67Eotx21IQC44G/aobO0OS53XRxPNEpK0otWL8g63DzAevDyS2ZrbmEsCUlQrlSae492uRImFyQEtTffk/jt5PN1QkT4rUSe5xvihz8yfbT5y2HrFkl54bXRz14F7n/zM3Dz5NtAc/BN7+mdNm1ecCgnIeSzu1oMODxWGnZv27Wo12BNQohhxw/uTgl3ePP2NQ2EvSUDSXVDb09gXfuNF1n9NvvLbzh2/I7bv7go92ax3p45rSH8VJgEpJLLU8+7B5nncG74FydpsvSp9gX14d+tRjSWV15nV9MxUSEDOO5IbLlV49cASN6b+RaGMJxl9xuV04rU47/w89/5vmIcoCUg5vRO+5lZS1zK8i9fUiGucO8IgxTF84WTW6amhkzzalh4zv8udrPb53r2Uw962ZxWy3cY9+n7fa2MTNzZRfWPBnNVcwkwCkk7v533H30syVhQaZHEavWrmFZS/aFjd9J9ZMad50/qN7iQg+WimznB1sshtSPkYtbgpc2QHy/OnFhyan96KWGm3ae6/QwKS8wPLho3nWBXnmfVEvQiOcKf7xcBd+NThRElubljgoyXKJCC5pSsL/ffZ7h/wv0Bbs/LdTZp31Qerfti8ORVgrmR0bLh55ne5Mxtu5dmvyCra7rebaYdO9urilwxucsk373ueEKR5efwpCUiFYxczFJ36N/ULvhq0yRhyDtrO9p9aCeufuhu3d/0uHPpLAnLhqgHmigm+hf+lltn/UrN3cnFK/rlo5CCrxJD65kXLL14hAcn5bcOmw+ONCSo+mUuN2v+2tmVpvtjkLPpkz7tKswkBo3QSkIzne+kGzm57Hf9nQ7Fep0ubQXBg/86PB2hfGm62b89aaEoCcrFb8bk9XU/oN9ffGRB5dWv+9qIj93Yf7NgnNlKurFzr94ME5ILm7fq6+5ueT1Uz7E5v0V6hL3dEbuvK7FJP46gj1yUT/KYByaggVOwkNvHmwg1r1vQAnx3cd/wKZdecVx5wOVYY4rYtcQ6Au0YsDHCZVAFkJrGw62dRC5DXiU8pukaHyW4PaKwx0s+4fOixycCEhcenuPTfN1muxTHksKuTgBSv6F9qkjg5+KmhfjMd8829+/W3aD59U9rxfNJbNeXI7XskIKXN9Y3m9S9UNhvZ3r49vV110HKLEJ+Z6fu3d9K7HD52lJGApJO5zZrbM7T1fUaMebBcnGLq4apg+wWtcT2MgeaeWrFLSUAy+9trCXb/Tqj68COkabXBM4mToTWpaZM3dp4SZ/7d/FqRBKS88QdXjt3dQft+Guh5vjyT0a7ToHg31yTbz2uEeYVQzVsSkLKr7IZo7FP3fg/WKNK5uJH3/bE7dRasOnsTLUR5i4ZaTpGAZOC3kt0wf7XB2qxaI7MPOtdHGjf4n8znGoo72lTh//PuCRKQ8kmypZ0jhdX/+Z70La/aWdv36lBi6DmB649XFNFJdXLen3ljyto4sV27Hdyqg0RlW4zd/FSij3GqXEhe37LjCLvJwR///y8yu55NtNje33Ne+vn2K9kM0jf15WRXJt
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
23IghhRADCmDGFIPMaQDYsggxJBJhCHTwKDMECGIIQoQQ3QghqyHGLIVYog/xJBoiCHQ+2mngUGZIRUQQ1ohhhAZZP5oFpU6qFmSNJZf26zc9HCco3MPPxePXH1GkeKbwXkTc2DADmJhDNhJFYbsJBZ2/V1UYQix/13Q9RXoZ88QJWhjnv8OaOmdpPVsaW/9P23Su5JgfUDiuu3OqT2eN6bYCnKqskSPkgzhfhkjarbgAF0Mzc2stqXN4S9OSvcd+1muedqPZryixP/ezGs0hD22NTner294EvSWmakvy14wZcUm/lN7xXJfsNRXr/cgGUIZPqwQVtghrHBCWOGBsMIPYUUIwooIhBVJCCuyEFaUIKyoQVjRhrBiAGHFAsKKDYQVZwgr7hBWvCGsBENYOQphJQHCShqElSwIKwUQVsogrNRDWOmAsDIIYWUSwco0QyhjRQjCigKEFR0IK+shrGyFsOIPYSUawgr0/uNphlDGSgWElVYIK18RrPyLpWj6r1+J2nf1ayKO7xLtc73IWeF7zodfSjePxoCthv/c8TlgwZNYGBZ2UwUru4mFXd+LKlgh9u+FYUV49lhZDm1sz7/Rvqrp1vdwD5P27S+f5240S9ooozVpJqHxn5paOVNNYc8AiRXed+d8Szw+JS683ryYbvLh34T2nTftaLp6X95TMve9rCgx85cynJppE5ETU498HbMjy9PoypVfnzaoPP/nas/io7Wd0n0kVijziBUiDTtEGk6INDwQafgh0ghBpBGBSCMJkUYWIo0SRBo1iDTaEGmwd8pZQKSxgUjjDJHGHSKNN0SaYIg0RyHSJECkSYNIkwWRpgAiTRlEmnqINB0QaQYh0kwipCGxQpE0QhBpFCDS6ECkWQ+RZitEGn+INNEQaaD3a09jhTJpKiDStEKk+YqQRoEeIg2RVLHP5xW99P3MU7ecqIxTK1u54eASt2v/BRzuaLt8edlE57E5kGIPsTBS7KUKafYSC7u+N1VIQ+zfGyONyuxJowxtzOffcNwVWJoWY9nltdXM+lz0q4lo+STvzzUDrK2fHrjIMux5OvN7K3kTDBFfQgqUEvVfsX5QM3nA0OTk9OfLz0Mc9zdcov9+lyQNd72DlQr/9Xn7JO6YX4mZ9zdRouq+sX1KrButqLFKgbwOSRrKiGKF4MMOwYcTgg8PBB9+CD5CEHxEIPhIQvCRheCjBMFHDYKPNgQfAwg+FhB8bCD4OEPwcYfg4w3BJxiCz1EIPgkQfNIg+GRB8CmA4FMGwacegk8HBJ9BCD6TCHzI72OkCB8hCD4KEHx0IPish+CzFYKPPwSfaAg+0Pvbp0lDGT4VEHxaIfh8ReAzTRrK8BGG4EOEl+78OpXPL37muDzZzHg654Ntr+cv95VDzvUZKzO2VXTveDgHePgQC4PHPqrAZx+xsOv7UgU+xP59MfhYzB4+K6CN+RGfklmhIifYOfCfQETzgNbu8ECHZ6bWoq1rNexb5qV51q2WJOHDtSBg6zH+jc0BGpYq8R9Hp6Z2l615PEWj2Pzcw/rNTU8xEj48gcWpo+N29nXtATUn2cRXcX6L2nQt5Ya87s1HIRJyMYkkfChTixXiETvEI06IRzwQj/ghHglBPBKBeCQJ8UgW4pESxCM1iEfaEI8MIB5ZQDyygXjkDPHIHeKRN8SjYIhHRyEeJUA8SoN4lAXxqADiURnEo3qIRx0QjwYhHk0iPCK/C5Mij4QgHilAPNKBeLQe4tFWiEf+EI+iIR6lQTzKhXhUAfGoFeLRV4RH0/ChzCNhiEcqEI+IPAvsauqTmFTu1Tfne7qr27Mi0ba8wXXESjxrd8odkdhYlTnwxI9YGE/8qcIjf2Jh199PFR4R+9+P8Wj77HmkAm0sgPiUaEWlxZjo5YLqjH5mXZ3W85H5vLLl/Cvf68tdvldoP8pM8ojnSHYEj+cJs8Vs+9s6u2j/U2k07Qy7skTfy0iI3azYdubVyXQTUuef0DoajfSmNLTmWMxPsMhj5V3N2X+L5W/6BevRTpJHlEHGCiGKHUIUJ4QoHghR/BCihCBEiUCIkoQQJQshSglClBqEKG0IUQYQoiwgRNlAiHKGEOUOIcobQlQwhKijEKISIESlQYjKghBVACGqDEJUPYSoDghRgxCiJhFEkb+6TBFRQhCiFCBE6UCIWg8haiuEKH8IUdEQotIgROVCiKqAENUKIeorgqhpHlFGlDCEKBUIURYQooiIS5SE/dTY7ymjk0C3LzV27/wTnZ0PXJRu7Lt8k0ZR1SYpcg6ICSAWhphAqiAqkFjY9YOogihi/0EYokJmjyhVaGP/AkC74azylObFxCvSbP5v13jJb9msk68/3r/SO9At5mX17XYSUfS+j0z2jSXxvhFYuTuKXS3e/HbAlx+RX6rpH+W70DtzfSYRxZL00pbO4lmwab2d0+U9zc2SE4en+AKsRE7cfkBjffVFCokoymxjhajFDlGLE6IWD0QtfohaQhC1RCBqSULUkoWopQRRSw2iljZELQOIWhYQtWwgajlD1HKHqOUNUSsYotZRiFoJELXSIGplQdQqgKhVBlGrHqJWB0StQYhakwi1phFFmVpCELUUIGrpQNRaD1FrK0Qtf4ha0RC10iBq5ULUqoCo1QpR6ytCrWlEUaaWMEQtFYhaFhC1tkPUIlIv9bKrebWQg3v46Iq6teszvj6Veuz8/YR7pfWmhBdWHpOn50CdYGJh1DlAFWodIBZ2/YNUoRax/4MYtZJnTy01aGMh/yL3xve8+tYC7rghZuvvPof3X23YnEs/bHbZeMFAfUCc4+DMe3Mq9ol4jVnZd9asLbsamFZ3YFv4YrWi3xkO9uy/bhnwviSpRV/wo/1AlmCWf6Ue2/x9bD4P6Ssvnh3IVJl4/Zo7K1BnF0ktyrhjhUDGDoGMEwIZDwQyfghkQhDIRCCQSUIgk4VApgSBTA0CmTYEMgMIZBYQyGwgkDlDIHOHQOYNgSwYAtlRCGQJEMjSIJBlQSArgEBWBoGsHgJZBwSyQQhkkwjIpqlFGWRCEMgUIJDpQCBbD4FsKwQyfwhk0RDI0iCQ5UIgq4BA1gqB7CsCsmlqUQaZMAQyFQhkFhDItkMgC4FARoCAh3G3Cvfe0g/Ztmc0rj6Y/3Dz3hJ6uQSeMP2N3SHDT79ZzAFEIcTCQHSIKiA7RCzs+qFUARmx/1AMZHN4IYI6tLHDxKcW3Pg68PRykqFg1pCPErtOCP3SobsSfE3ZrjRPVzKJvD4y82dfWpJZOgL6jKmuO3g8hGyuFds/ePnsVzptVqNz8UbHW4UkyJS8ov2Vl4729ObtWfomKrmN586uJ/K0TIyNH4JDNlTxzHz3MWUCskJsY4fYxgmxjQdiGz/ENiGIbSIQ2yQhtslCbFOC2KYGsU0bYpsBxDYLiG02ENucIba5Q2zzhtgWDLHtKMS2BIhtaRDbsiC2FUBsK4PYVg+xrQNi2yDEtkmEbdMgo8w2IYhtChDbdCC2rYfYthVimz/EtmiIbWkQ23IhtlVAbGuF2PYVYds0yCizTRhimwrENguIbdshtoVAbEuG2EawQaFlkjvkJlvDfYfrk6v27xRwSQnm6L15lY01T85vHW3Fsjmw6TCxMDaFUYVtYcTCrh9OFbYR+w/H2PZ89mxbCW3syL9HiTFC9QFH313vkd7qfZqfg4NWCfLRZ2XqWVTe4LA2chEn2Sb/0Ftl27UNDqyczL/dH73o7M+LOtYk7Ng0xaf5/OSQh9nMe6zOKUrT2Um7cxdHVR3Maeku/bAoMkNhT9T95Zff2qu1aJFsowxFVgh37BDuOCHc8UC444dwJwThTgTCnSSEO1kId0oQ7tQg3GlDuDOAcGcB4c4Gwp0zhDt3CHfeEO6CIdwdhXCXAOEuDcJdFoS7Agh3ZRDu6iHcdUC4G4RwN4ngjmQbRdwJQbhTgHCnA+FuPYS7rRDu/CHcRUO4S4NwlwvhrgLCXSuEu68I7qbZRhl3whDuVCDcWUC42w7hLgTCXTKEO+ilIv9wMd9o21Tw2cQuQZbTtUXxggb5Z0+HmdWNefE3mM9PeZNUNAdcHSEWhqsIquAugljY9Y9SBXfE/o9iuOuePe40oI1F/jtUev06a9V3WCcMHYpIWO/WetA8kbba33DXor2Xa00rk8dJ3NGqLbypHr77m56t67c7mwL7bqt3PbeLkmsx5ZbduD5IYx+JO4HB1OMPdsTrPlok8NuO2e/JqYoNUa2nX/Asu2P0e+GQwjiJO8qcZIUIyA4RkBMiIA9EQH6IgEIQAUUgAkpCBJSFCKgEEVANIqA2READiIAWEAFtIAI6QwR0hwjoDREwGCLgUYiACRAB0yACZkEELIAIWAYRsB4iYAdEwEGIgJMIAadxR5mAQhABFSAC6kAEXA8RcCtEQH+IgNEQAdMgAuZCBKyACNgKEfArQsBp3FEmoDBEQBWIgBYQAbdDBAyBCJgMERB67YvCc4iABEGkmQe9hQ4KCkoKyS8M+sU9fFMiw/lxsbVof59moOszWec5ECySWBjBoqhCwChiYdePpgoBif1HYwT8O3sCakIbO/YvXzfXtYZfVeauz9k4sMVxLLt2781z4Q9V9t24cSSRqdYjkCTggqWVx/r9H67Weab7iibrKteIYMBQ55YjWkXqbX3Xjq83IAm44JvsieufnA2GdPeM8OwSj25WK3R7c9GhSVm2/3RUQHogSUDK6GSFoMgOQZETgiIPBEV+CIpCEBRFIChKQlCUh
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
23DKlvXrT84hUSkJzfNmw6PN6YoOKTudSo/W9rW5bmi03Ook/2vKs0mxAwSicByXi+l27g7LbX8X82FOt1urQZBAf27/x4gPal4Wb79qyFpiQgF7sVn9vT9YR+c/2dAZFXt+ZvLzpyb/fBjn1iI+XKyrV+P0hALmjerq+7v+n5VDXD7vQW7RX6ckfktq7MLvU0jjpyXTLBbxqQjApCxU5iE28u3LBmTQ/w2cF9x69Qds155QGXY4UhbtsS5wC4s8TCAJdCFUCmEAu7/jlqATKV+JSia3SY7PaAxhoj/YzLhx6bDExYeHyKS/99k+VaHEMOuzoJSPGK/qUmiZODnxrqN9Mx39y7X3+L5tM3pR3PJ71VU47cvkcCUtpc32he/0Jls5Ht7dvT21UHLbcI8ZmZvn97J73L4WNHGQlIOpnbrLk9Q1vfZ8SYB8vFKaYergq2X9Aa18MYaO6pFbuUBCSzv72WYPfvhKoPP0KaVhs8kzgZWpOaNnlj5ylx5t/NrxVJQMobf3Dl2N0dtO+ngZ7nyzMZ7ToNindzTbL9vEaYVwjVvCUBKbvKbojGPnXv92CNIp2LG3nfH7tTZ8GqszfRQpS3aKjlFAlIBn4r2Q3zVxuszao1Mvugc32kcYP/yXyuobijTRX+P++eIAEpnyRb2jlSWP2f70nf8qqdtX2vDiWGnhO4/nhFEZ1UJ+f9mTemrI0T27Xbwa06SFS2xdjNTyX6GKfKheT1LTuOsJsc/PH//yKz69lEi+39Peeln2+/ks0gfVNfTnZlEo3hYbWejXdCb1aRgOSv3JN9u3mgU+tbqm7/Hdpq1rYtyzzrD7LFvA/cxKjHfJgEJK2Tn7jr1qPLvvyKuuxXfeS11a8zTsVLj5lJhfkxXSyPmvkXmQKMT5W8BYIu/bctVm990nut+JRnQ/N+aQeeWe40bhZjKkECcsm9+u7QUx9lRwu41AOT6Y6ypU0xW/0V2VCW2yagHO5DRwJSVnzeZh6bpGRugdLkl7aXmitWBKToCy7nP77fyOih6mnamTemFMYHCfRPqaSIRAg/3Bi9QsycbjRxmYuEitV8/4nTVeYkIOXruGp9+3lY8kovH1y6ctPnko9q89cx0qgE5xs39LP6ypGAZBsQdb/BH/23sDm4/Jv0aPuEZaLX0z/z2aS+R3xfGGqVQgJSkMbNN34x7+36ahFdP553ZVLzttk/tN5q+ml+mt/5UAPnmTem8BpueJ1z7Wltbeg+27z015+qJUs1LqckhqfTXx3/Ur575k8gteLsTm1efIabtZmBb00hg+xWy8dvd3xWNymle5W/JXUlCcgFbxaZXXYYUNy80M72QnR/6sKrT1Iz5DeFrPd79s1Vmy5k5i/HN/xYEWtHq/KRW4LdhP+CcklI8Ra1B0OtgxcSBet/PrhLAlLutuXhUMHVp6uODu9sZztc8XyP+NqNScHVnpJ6d+kfvVAgASnZnp6mlXyRdVPom+e7dJ9tclvFIMR/mTvZrLbf3v73qDMJSKXmZBP+O1ab0+6PbblLf8V04
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
23d/Mpfgn/9MFb5CgW9vLJukOONoNyEj13hmlrMls+trZLlbtbpN3mDeIgD55QiHLtRJVtRPXCjbwVhgUd+zMTuV4s0RmsVtVTqHsiLk0ePMpHvRs6nj3Q8eyFjucAdDyHoOM5DB3PUeh4TiLH89/jofBy7X8qyZVfdc9VN6xYcEjl+aPv83PLrYbT/TSXCMnw3p7D8RglFnY8flHleP4iFnb9MaocT2L/Y9jxZJjt8bwAbWs8EXiTxvTx5HXo3tea01fEZPhXPu4Xm6BdesvuJdcDg4o4P71Xiq2wJ48nd4DWlafzlHK91XTltCfTjtPvS/726fhzGf9loSL3NFfcIo8n5YHQDR3iHugQ90KHeAA6xEPQIR6GDvEodIgnkUO8jAY6xMRDxMDgfqSUj0vu8L7YPhXPW0lpK+pqr9W8Oxe3IlLpifaOgTkconFiYYdogiqHeIJY2PUnqXKIif1PYoeYZbaH+CK0ralE4KU55N+Bv7j1oUpHzfvircVlJ+V/0BzgqKDf6TTF8N/uOl15w5V65CHmcKpbnRzLoHngWmlBd9AVtTODCiVxYq56W2k5rjstPj9KHmLKY6MbOuo90FHvhY76AHTUh6CjPgwd9VHoqE8iR336EFM+6gzQUScetcU3orVa7hiksTOdMp44ut/ahD72xnYGE2nHa2/s2fo8Zedw1KaIhR2131Q56r+JhV3/D1WOOrH/P9hR557tUW+n4YA29u/7Vim+R4v8k1TF0jpN5uGgTXW/lqTOY05W0Wjrv7Ne5Ghp+bmPeQKpLORhX7Ro/NDUvcv8zc/+2J67bDZkbR3rIWi2oqquNrggQ+L2AHnYKY+Xbmgk9EAjoRcaCQPQSBiCRsIwNBJGoZEwiYyE6cNOeSQwQCOBBRoJxCMpsK6X/13R0JRVg9fa7e2ShwX3M9tzn4uz+Z23Jnn99stscziSf4kFHQlGGmqMBMZ//8PY9edRZST8Jf6HsZEgOPuRwAltbH4i8AK+6ZHAJdc0n1PctTVLq/9zYXn7+SePpFLaPXi2HWA1vjPFdmkFORKWusYLW6rdm/czIFRD583NZetsOPY8fRkQqHibs+zWpKsRORIoD6FuaHD0QIOjFxocA9DgGIIGxzA0OEahwTGJDI7pkUB5cDBAg4MFGhzc0OD49+Deyg3/rV3srLbu5EKn5VYbjjNn/WdycG+f21JWgSNe7R1zOLjziYUdXFqqDA5aYmHXp6PG4Pi3fzpscIjPfnBwQRv79735FN/vSf4rbG8nt8Zfhy4Ida/7Jre74wcbV06omtXJ0LFkxu2/RH49IAcHe4Rj1o+FyQn8bPMt8lkf7mGMD+Tq0divKrvrGt2H5yfoZgYHxVHVDY2XHmi89ELjZQAaL0PQeBmGxssoNF4mkfEyPTgojxcGaLywQOOFGxovgtB4IR5vgY4Lp79ddqUTLGqjjQlRORp8UaAtiaW206XMdkhWgl9yDsebnljY8WagynhhIBZ2fUaqjBdi/4zYeJGb/XjhhjbGlAi8ZHh6vIhXfPyPu/Ggbpaq0JnT3KbCa36Hvxs3YXp5cwnH03fCid0z48Xytpzgla61t7/cFd9L9/KoQXIPW9jbi2JGFpOjUS2Jm2b+7RPFgdYNDaEeaAj1QkNoABpCQ9AQGoaG0Cg0hCaRITQ9XigPIQZoCLFAQ4gbGkKC0BASh4YQcQjEb7yd/zIlQWX33u8LfvJEjsgsfP2MyUdBhVXm/sgP6cE5fF8mIxOxsCGwgCpDaAGxsOszU2UIEftnxoaQyuyHEA+0selXiVJ6H/r0EGKJeka3+Jknr1Co9tWNDRoL07poTPa1aSUocO2eF3E+5MzMb5qd/q/fQS7gaIDfJ6nPnuPiW7LiDf9oq5pdWGuz2vbMb86Zf3lGcex1Q6OqBxpVvdCoGoBG1RA0qoahUTUKjapJZFRNDyHKo4oBGlUs0KjihkaVIDSqxKFRJQeNKuKocHFXGl0etVm+dGzKdQn/eEiNUGNRBcfkr7DgHHnpPJn4OYyKhcTCRgULVUYVC7Gw67NSZVQR+2fFRpX27EcVL7Qxtn9DqM202Mao+oNZ7Nd1/PufSSy+a9s6+I7nsV34u7h7d60TyVHFYDMqTdd2+dLJ12e4BE8UuNEz2/5poFF1dWnIG9E/dzN75u9x6IrTRQ71zTeS5BKTVRv4dtow91eKd+Hd7k3Vf8b3BarP/GUsxeHYDQ20Hmig9UIDbQAaaEPQQBuGBhr271QmkYE2PaooDzQGaKCxQAONGxpogtBAE4cGmhw00FSggUYcKKm+7a6WxsPeD0/8pbl8cyRo6y+uMyslCnxsp/Z6RYe1Bs5hoLARCxso7FQZaOzEwq7PQZWBRuyfAxtoxrMfaHzQxv798TUrq3pYCX3w3sNcFgGrFuuf2V+tJn+e7rymaCD31dMiHA9n/q6K6bzNIsNfF+4ZnO3N1rwgzhrBqeQe8drir8Jnlv0Lo/NnBlqC3vdb1a5jlXnbHL67fCjPPOZUtdlXi/9tKJNfafsNc3KgUR6h3dDY64HGXi809gagsTcEjb1haOyNQmNvEhl70wON8thjgMYeCzT2uKGxJwiNPXFo7MlBY08FGnva0Ngjjp3iG8PeBYMNn3fMt5dM2tXVMiH+9b+bk+zLghvHntqdlamYw9jhJBY2drioMva4iIVdn5sqY4/YPzc29qxmP/b4oY39+w9TXquA5dukP2qc5xw6sSUu15u5bklm371HSmJG199H0m2ZT4492js/DDJTzTx0jXjO8lRGBWQlhy9R5yyxaRl4zJu60NuUHHvL9KpUmeJXKXy7uXDivoHpsJeM1U1uicu/ul+fq9l86VgTOfYoD9puaDj2QMOxFxqOA9BwHIKG4zA0HEeh4TiJDMfpsUd5ODJAw5EFGo7c0HAUhIajODQc5aDhqAINR21oOBpDw5E4nMzfFm4aYTt2pW3hY2uvuq/DlRJsn9L/7JLwWFG3+upu3jn8Hg4jD7Gw4cRLleHISyzs+nxUGY7E/vmw4eg0++EoAG3s3wjlXewWaSdvnV6nzek+VVvmKC76OEXz9bIlv/KEbB9tO8lHDke2FxyG9/SWfi4+dTkz2JxJ1aiyikHlree6rj2TAjW7Xp0lhyPbSb8TNkqbAscZrp5WKi0J2L/e4HOtr+Tf4Xlxazi0Db3I4Uh5HHdDI7QHGqG90AgdgEboEDRCh6EROgqN0ElkhE4PR8ojlAEaoSzQCOWGRqggNELFoREqB41QFWiEakMj1BgaoVbQCCWOMG1S4TbWoDb1Db8FHng0TGazC/iqdN+4q2TypfqtkH6o8BxGGD+xsBEmQJURKkAs7PqLqDJCif0vwkaox+xH6CJoY/8ecWlZiSFH0aW7yi4qTD7u5PR1rtv1KLOw7NCrKKdY870lgTO/U8UxEf9rTJnL2fXwq433qtq0V7anjawrPWZ2XiO4k1nlOTlCGf+WV+TQ5NgXhslYHV1YvlS/cNCYI/WsvGFbqduYTEfgzAilOLS7oUHbAw3aXmjQDkCDdggatMPQoB2FBu0kMminRyjlQcsADVoWaNByQ4NWEBq04tCglYMGrQo0aLWhQWsMDVoraNA6QYOWOOiMx/WKhidEl75M8J3UGjV/0vdJyfKFijD3MibfhzJxv23nMOgEiYUNOiGqDFohYmHXF6bKoCX2L4wNWt/ZD1pBaGOL/31K6vLJh7+j1BZNmbLV1P1VDDrLv6Qxf8OyWys9N53zfulGDlpGtwGP9hbPoLjeHKUlO2SeuwTqrQz3UGBRVKvitr3GK0cO2gX+YjWq8mUfxI5+pl8TuKD2qMfdRrpjZee2TTyL+Npyh48ctJRHezc0jnugcdwLjeMBaBwPQeN4GBrHo9A4nkTG8fSgpTyOGaBxzAKNY25oHAtC41gcGsdy0DhWgcaxNjSOjaFxbAWNYydoHHtA45gYB6wsmnvs17680hoRo5zE+KBWoqpN0icu/Zn13ewDl0r55zKOFxMLG4dLqDKOlxALu74IVcYxsX8RbByHzn4cQ6/xZBQlPiX3h2NjLK9mBe1TpharD//FqJQ/qehYKP37BRub45YzOhfJcSxvd7f56pNHLD/uFTScZeR/IPmIhm/s843dl/RHvWVGSz7OfJda9vPT3b+5LC/pBbgHHdJV+rH5Jc2RJKX/Wulr+YXeKSuR45hyALqhod0DDe1eaGgPQEN7CBraw9DQHoWG9iQytMlxTHFoM0BDmwUa2tzQ0BaEhrY4NLTloKGtAg1tbWhoG0ND2woa2k7Q0PaAhrYvNLSJoaGo6MWwM3bz1oyYKtdPdfcns2+3GYbGSa2MX8/p/5vt8MI5DE1RYmFDU4wqQ1uMWNj1xakytIn9i2NDO3b2Q1sY2pjEv0f84m+N3vZaqXP80YNLVkUFR9pJpCoO7C+Yxy794hPzaR1yaC8Rbr2e7d1tlvj2do3dJqXquhLn5kOrthyzOpNUfPrkMyFyaEs37X1+496ij9qlSgZsnaEuCky3mkQ/Nhp1+sX2lPI8TiOHNuVMdEOjvQca7b3QaB+ARvsQNNqHodE+Co32SWS0k79jQnG0M0CjnQUa7dzQaBeERrs4NNrloNGuAo12bWi0G0Oj3Qoa7U7QaPeARrsvNNpDodFOjBYx7aqTLa6sB7nqOtdF+wrX9ZqzjPOwcyzssUgKPT4kv38Oo1WCWNholaTKaJckFnb9pVQZ7cT+l2KjPWX2o30xtDEp4lPCUiYBO2n1T7
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
23kJpCrx+blk7KamoKqekNSE2jITV9CakpoUZCoUdF5XNTxTTDNVtY6Y5/tK/SKM689fvTpntBN1bzanvPQQ3PEIWp4VmqqOlZorD1TamipkT/ppia/pm9mipDjZkRV0kHiqkdvHFpC6PVBtZnisnMPU1rrQweOkvIm/V1pJeNzTwaWiwkc8Dp3Wn2Xw0Jo6IlCkuX3ktYXfLWSepsm2b6CndfS1JNl/G0pD/Wrrz2mEdN62PL3vC1D5VazG+tXjlykrHRw9dwE6mmlGXYDxLYAEhggyCBDYEENhwS2GhIYGMhgY2HBDYJEth0SGCzIYEthAS2HBLYWkhgmyCB7YAEthcS2CFIYKcQgZ1WU8oCywUJrBAksDKQwCpBAqsBCawuJLDGkMBaQwLrAgmsDySw0ZDApkACWwQJbD0ksN2QwI4iAjutppQFVggSWAVIYLUggT0OCewFSGDdIYGNgQQ2ExLYWkhgvyECO62mlAWWHxJY6AVx02pKWWBNIYG9AQlsNCSwLyGB/QAJLCFQfG8/3sx35Kh7fd5+6bcMxy4z7xdtRS+2ma5SunC34+blubw/14woTCDNqSKw5kRh65+jlkBaEFfJaDQpK/QvFQjtWugy8pB73T5RtTYfU0mZVZaBFcImYVykQNLc+3ngkIdA8ABH+e2hb/+dbnujL/tFo6ZxPY1u3J7GRWWkQHLKXtv35+Qh/5u8EiuOtfuV0nqVtL/5PVWoRX/TZmmGgzwpkAteJt5xKk3eOy+ytXHzRNDx1w/Lx7RM298mBKrEDzvm/CUFkvm299f5V7PSmfhZLHp+uqz5anvkc9u5sAkHbdqqzctLY2f+oL5Ugo5Wu1w4bdOi7usKZ/33WkZHnLLuojusnzzI+TLPkhRI3neR81/qu51Y1deZVCTQ1Hcz40VOgXneS3ubwAYWjpeDpECy073+NbqSIWj0gI65CENm9rNHSfX7/NrXzy/YfcOx5NKHmffXjm6qesW/s+bbf2M5iktXr0vkkHRb4/ffPaF9O9L7P7K+IQWSYfDlvn1xOhH//Wd2f5Pcgpvf1vKXtVW8Orci+YGH2S+JxzMP6lESV3Drog8Y6NrAvvz6uxN6K7wcdBZmpeStFbbPmYh+NCOQr1V0YjccC6GzZnf9/lrCNdWVfctiXm2vAK6SbX5nzP1n3i2yOE4wI+DTYzr6+dsKtaqO5iZPNUTb3DWOF7PapXLUcQ8pkPTj77iuGy78szJjoFa2PWH9WOJ8Q/Ubn57nqTWZBpzw0CAFUqTLWesl3REh3g67W5xVaQZ3fsRvELfeMdG1dKHzemX91aRACsUdtXjucSyXQ2+wNHeD975vYdaRLan+WmWDGvqLTL+vJAVSTHOx7qu49FWeTheF42rflCt/Tx2s6uE1Vt0vfCk0b2HwzAvaFDNDmCsCYqzdxhPsta9les3nTXtk/PKy4vdJ5sqEbWwzz1fMP77Pqcy6jXvt4MvKqUAfv6uuelEeO1ll5f8uFUs/20MKpJjKHZfzOnGsQh9+tC6PqLnHmv3dxU6O3eNgY3viB5N8G1IgpdVC3qX+/bnsfXrAvCunb9ooN/Bob6pbsCW8revk31MqWqRAsrH9Xqi6oH5boXooK9uBaxaDBQ+V73dYGSrdbcwdsVhGN/P+2rbyI46jheNxY73aPKrHL+8+4cQwusizVjUh3Hvr3/SJGYEc2FKXf6eTZzy7yopH+bndgKfcsD99gdKZx1PbEjqaRUmBFPeyO7+59m0/u05JkmJ3XbhlsHgtt0qwQuiiRTyP69aHzHw/c4+sY8GA5sKtHJIx+cWWlpNBbTI8B/4reGfS43i55Y4VKZAC16QYGSUS38h0ejRY2a/z4nwtw6LxQebF6y+2ud20sWtJgaQTZTfK5E7qMO7cqFd1fpW7R83WfhoTwx0Zgm/CvCYXPicFkiH6204ah18nr/X7itComicsX01j4Kjnbb/jyP3zP/bIjJMCufLmd/42nsqdqS7MoXUvfw33hd9kXdP7q3nDxPOVWlljSaRArvhbNlJpGpW6yE696faHPzLvXjxQTpxM2/nc6pvmGc4p/ZkHXtO/X1axbv/29lXNGZs2x8W4aH5S3ZPyNKlzq/6O54H7aEmB5DJy+uE+eJde8VcDtySDgJFdtkDn1atOg8OD0bzR4TtjZ17QpuX5oZTjRcyepfnRVfxGU1d8B86ssZCsOv5YzeOn1CcmUiA5H7k6Om77QEOXmm3EpS6v3PzbosBjR+NeG+f9soZxE9ykQPI7rzWSv7jg0daPgu73riVGf49pkQpk6+J0uPDbv0XpWhkpkOznJJ/ll91tLGFdqz4U/JLHmZN/oY3WsoXBpSfKo8pHh0iBpO95W1nR3WL+dafnjsPe8767vjHdVjzUZL5TrTff6vu3dlIgeb9s3szvavcibo1P4v3Nn7SldtIZS4ekdRZmCWcd2qq+ghTIFWzS/HYsld6bFjq2HeLoy48yKZfOGcpZdHnws17BrtEDpEAuvOeSU7jzzC7ldzf8tLz9N7qty3x2taVvgVPM4KMPyXXJpEAKbQylucv2ydRPlDnQvqn+udR7nzsR22Xp4/yUAys1sq1mPtvMOXTiwS76pTvdGj5fev7FVsvEjGcfjdOUR8DvyuZznvKkQM5bdGr/90PZMr+O1lubflCzsM+XdY23/CKj92ye6sF+l2pSIOkiFS3qeq7Fv457X28jbRxyJ0XYOk1ORTLuk++dDeI/lpICKbB8pVmaU8M8zn0/HSUPnIgVj1z8y/zDjQ3LSh8zKapoyZMCOe968jWxjNhLy0wYe5c4L/BZYDUqpXx3I3vK75D2vy6nhUiBlFLxstHeK/bwvmXe1kqRDSHXGcTYfkX6xAVM9Ptwbd51eua33IGKX58/D75qqXtPJsFk9HTP5PNmVhENTYVGHaa4hnwmUiDpVH6/MJhcdl8uQy2OXf1tAze/dNT28vr3Wnns2vV7Dp4iBZKHZiKIo22R1L7gzluC9Y8GzyyqKNJhU/rycfnezc1KdimkQLJ3LNp3MIRFdp5W963XF11P0Q0zcGYUHfLKT052cchZtpYUSE7x0owL1rp2fRciaSvXf3pC86ncqWzoQKOvvfZq9du/GmZ+y/2o9ukzfbm4zJO25oxnlBO25FUzmEgFPnlh5sVPU32niBRImdtR92WP9B7u5X/7/cD9/qOOJ1nfK+azTNXEJ5lOZvT/JQWSeVMfU8kYD/P70EL9YUX9I8ePBP5eMujEItq/7tiSNVEPSIFk/7nv8NXROm95q0cr1Vv+fmiOU3p9+KhQrsWnUq0xPvUIUiAXhH+j67tn/O7u1L48lbbjzWoXHXrPdl6ird5+TL8ljnkHKZCCJnkhFp9z6Y+9Selb/vbp/JOZ15+bO7VaCw8Wr11bZTtECuTChpOq2+zqKybKGcwjmjbLqUpdlzqxPqHATOPW9ccrvG2nBXKBjEDeEeGxxsj4/SwR9lZnOFNsMyS3hq/tO34747KJsd8cBM6CKEzgzlNFIM8Tha1vSS2BtCKukjV0c5E8aV9Xqa56P+bKS82+MZ3TXzwjJp8seujJkLh4HSmQIiW9KzX9xr9/qX1zjI7pyXk7VSOlosaC1opxS4Xg60nPSYEU11ZVn9fLvFZr8GTLyYgWhe+7jAR4tHa0f0yJ+Hyos7WQFEg6iSSW5O7+E+333bUvSnnKhl4tu6i/8INn9wIHbbONHitJgWS6oL+Rv2vSu6xj6HL9FrVXoj7OlaFh4/FnfUWYJhveyZICKa3RYchm3uVo/VtNxaw66H6Lcq1sWrJmgu25QSY5gcqPpEBKbtLrp9EPPT9wcUOmctRB7vbbKTU6LMrn/XSEuDP7m3xJgWTg3Su5b/4WtZ1xVepaHcqPB+v2XfBJ5ej3vFFfcuF3mhcpkNL+kgVtgxnl7218bIrLzlb1vL3i5xzC9/ilXCadWBv7i5k3puz0FDY1P2RS7igk2aRhYivvdptdPjJwT9OZ64s1nYb+/xuZn1+NNem+sAgXrzj5IIFB/ImqlOR6f5rtVxW7D6Y4PykjBZK31CIhqaGvbePP0G29KbTlLM1Gq8zeOLG6tzscXqDCdJUUSNojtiKGJ26s+m/4Voxt+fV3e4eDjuStvK0l5mLLGFV8a+YbmXwLilZb8jlGvzf2UNnj377xbvCr/nnDmx2C1hwZ1XLfIUoK5LLnb7qcfTsl/6RzrHM
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
235OLI2J75R4vvMvIze/b+CFnZ47P1U8fec1P+ZrT1a4Wqr8z8Qn2pFB2tWa1IgQbTl7BVbgkbvC6e37W/m26LXe4Qx6NSLxKQPK8vzH9kd2KHQn/X7QqBlv7jhfcflnuUPvI7kNTMzP5oiAQkG92zn+PiDMnjG809RBmKHty5ervJKr5z9fxyy2MBVYdaZ95fO65R/4R/XcPX7xMPVZauUL3FLn1iZfz3s8JWJncH3rG8IAHJMPTIyirb/Pz37+6ZGkoLjn9V5K/pePpk7/Lcy1HuP6WuzTyoR11y1Ylu+sTBbjU2obDXO2yXR/ubLyrOK1UU8Xs4dfHqDCCf6ZpfUXNMpdvPFv7tmVR4fjib1hIes+hEziqd+N0eCTPvFlmSvaww8cM1Ovr5Oo9N6x1Kcv80XzwQ43xdwttC1yFgPQlI+snXnGFOi0bECwcb5TtzVk/cmu9keOzDvVL9lj2JO6KMSECKdgebPqLbKszz0TeCo77A/uR/19Uk95tMdS9dFLxa024FCUjhbAfPe1GOJey2Q9UlarFWX8/tv9Cen2BaM2Rkx7TnmzgJSAnjJTZPsu8qnA4KFMlufFGr+S1/qL6Xx1nPWuRQWumilJkXtKkUpS5+mnhp/4nJHD+z0KLo+TwFV50fHVb59ntxXY4O68zzFcu2WQXV7O/gUhx6VPcn6Uz80XDbjKh1LPLKf5dK3HXrJQEpoXsyZJ95Notw63/vhc43nGV58C3EV4ktatPbzlutLmUHSEDK6qe+zv/7Q/DN3cR5R1yPH9Bs5jbTeLVAK72je+ffXbqmJCBZWX8t0lvQpPPYMI2FdWOo51B5lmbmR28n9Zi3JWOegnQz76/tqN0aMP54Mnuiz4xbb9thyx1BDONMpxv1ctJjtf/enZoB5KDWq7KTXdyTD+q9uTXv+Q6eVhpNoC9X333tj07OxzYxEpCS0b771ja+HGAzr7qt8uVVuleKZCOXbsqqNCYm7muvVqfO/PvM9fIB5YPGi7TZpS+VVXp5/U7ukOPe+L38tUtvwOH2k94kIAVCZRYulLr1Qq4rqtnbTzWa45kcs1Gr3P1nn31KvtBeUSQBSSfGtr2I6/ZH5641tvX7FE5FNWgP0Lg4mRQue3Eu+veieyQgGS5+XUfj/3Nn6ECcKI2eR47QChr7ANtYP5Otmfv+Wy83SQJS/Pg3/g7uunX5IYvTXj36OdqffpxlZd/PNrWpe+KmxRO3SUAu/1szVrcnI5/J17AlsnVE7vX9y5q3fhesu+f91Xg3xx+7mQde078RfKpqbdCp0FaosTb7UojxB731eTdvd2nbmdxLsqIlAcm5Pei/U0Mx9Co/m7mkGQS2+z4Q6Dp6NGhodOgiz8X0dVdmXtBmerq1mv3+pfVLyy7W82//cyRucPdKT+n6bdf0o37IfGAkAclxNTwgQKeVhi7/wXZOQ2XNtl+e5VEmbzccCLaWd8qe4iIByR+suF05cMFV7XfLTp0NvXXx26V2mSTWbg7/g78S2tVDa0hAsu2VvlNWE/O2ikXRcDjlEXcwB/+iA6aCi1Kqd9Rm1I4Pk4Ck731Z9/RLu0fPutMmW2LnfQt/sUencrjFY51+X5n3t6+dJCB5Pq9dyx/uez975ZlbmWs/mMmso3OWTS3oelwsUrxZ23A5CcjlrLL8vsx1sRqLAjo2s/eXZbjUyj4cfsh0eOiTbbnF+EYSkIvOhjx8vG63hebrY/GmsQlrTqgW3Tna3r8g6NLQ1dbcV7kkIIXXpNHEsH7YEy+2OMmvpemezJszJ88byNNnx2sm1Rk98J752ebDzTsuW9AvXXei+dOhe599TF3cua1ogv5EJf6qa9t7WpkE5DymXdbfNj+Q++nQtH9Pq76nX5l8+HWvz3K2d+bpbRoIeU4Cku6Ciuer3tDrz7LfNB2QdU49mSeyv0BJVzr7Q9xJNcn/lpKAFBASdy8Iap7HYfUjQHrjjiuSF5b89Gg9piZYfY1RRddUmQTkvLDcUInCK4cEXRb28QUvOLPAe1xGM2YNW96v1M6/Ia7CJCBldKMPmG2QyMr0KtWuE1VLDWOQYP154Ux24tTAGc61Fq4zf8udpNJz717KUS+bs3I5LuOuvb/vtbGIGhmvemvOmN1cxkgCkk73133734KZSoX62WyGL5u5+GUzDGqb3piWspk1rd+0iwQkN81UMnsHk4xVSlfEsqarQ7uZnlaYs6p/fie0YW2bum8eCUi2j0xWm1KZ5eeZfol4Fhi+i26UgaOwYnN0WW5uiP9DQUUSkByS1YUH99v49h+8QFu3+sMNmg+1QTXDG9/G+ZmtMIz82Tzzt9xXG2/esVPKLtrp47Fwt2aOVulzBheZpBv33aP5aZ6frCABKReZkSm/tW9LH//LbxszBxwCdrK8USlj/tNw/fae34UDf0lALtboZ6ya4F78Ju2x3aiK3dZtW5N+8Q0FMYsNqDryrcy4TAKS7YfVlqPjr2KVva+KG7b/bW3LVn+2xUG4xPNDtekEr+F5EpAL0r/S9Z91fh3zx6pUt2Nbm36gf59b1yHa5waOdu3ZxO99pwG5zKU01fNTCb3ji7x+oZc35+8sCrvnEfR+v8hQpaJivc8wCchFzTv1dHybnk7VMnicb1mrpCcTJrNjdU65u1FE2LXlsT7TgFwgJ1C6VWTi7YXr1szn/bx3c+T5FEprpyv2b4ssPOziHD8HwFkRAwOcNVUAaU0MbP6N1AKkDfEpeacTIdI7/V7VGeplXjryyLh/wtz18+nzv28wZZ1muLVElQSkaFWfuHH85LfPjS8c6Rhv7PPV265e8bb8/dNJr1UpYbfvkYCUNNMznNe3WNF0aGf7zvPtq75ZbBfgNjXpfJd3/tPmrvePSUDSSd1mzv0ysKMz85RZoMxp+bSjNYF2i1pPf1ngb+a+JkqcBCTjQbs1/N2/Y2s+Dh9u0tJ/InYmuC7t3OR1tzhRxt/Nr+VJQMoafXRi9egO2P9LX9f9eXJmu2ajfEGucY7P3iFGJYG6dyQgpTVsB2js0vYNBqoVaWZs4uqMzGswZ9bcF28uzFU00BJHApKBZ4O01Xwt/XXZ9YamHzWvDb2yOngmn33g9LGmqoO/CqJJQMomSJd3DBXWvjlw5kBljVt978sj8cGpvNceKRXRSXSw3Z95Y8q60yJ7PDa71AYIS7cYufgon4hkU76QtL5ld9gS46Dh//8XmZ+eTLTY3PdMl3y683IOg+QNPRnp1Qk0BkdVvmzKC75RQwKSp9oz53Zzf8eaH2k6fXm0tcxt2xXcXwSxnOr037JAl/EoCUjarT6iTjuOKXwfjbjkUxv2esNo8tZS8UhTiRCfhRmVETP/IpN3QcUKL96Ai2+co3TXJ3SuiUl5MjBvdK1/8sqt46anTMRIQAree9EdHNclPXKXXdU/ie4Yy7kpxg1/hawe57bxKoZ605GAlBad58i5MSGJg7c86bnNxeYqJb8UPf6VPCd9DQ0frEqknXljSmFMAG/flHKKUPjSB5tOKImY0Y3EK2wTU94w/+BEYo0ZCUjZBvb6A32cTHfKLwWJr97SU9alMt9yAY1yYL5RYx/zARkSkCz9wruu85z4W9gcWPlDcqR9wiJ+b8Wf+SwSg+GDi4M3pJCA5KdxORCzjOv2i1ohHR/OD48l5jnbPbDeYfJ5/jmf9GB9h5k3pnAZWL2+lVVRXx+83+bO+defa5eXq11KiQ89T39l/Hulx8xPINecto1zXJbMwdzMwK1dyCC9w+LRu909qsbldC/zt6etJgG56C2f6aXN/fKOi21tLpzoS1t8pSQtU3bL4fU+T344raU7PPPLcathpShbWuUuDrElxjwXFMsOl25XKR5o/XYhnv/Fr+ICE
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
23jGw+ROpUm1EIsVg0c5JlWojLlIcNj8XVaqN2P9EbH5u6lykJKiOOKFPcUGfIhbCar2YsVCk7kPvf2MC87wqLZ54Xt4rHpAQwFN/Nprh/Gf7ORzkJGJgBzmZKhcpmRjY/GepcpGI9Z/FDhLPbA9SErSs6QeLUXpozfRBErEM2FXFemTBhiCFAxnJ7zUObtdvD3115PHAATGLaNZSJ/IgsQd0785h9Rf+RMu4fWCV9KPOggK6zd+W3rEvbGk86Wz5mjhI0HEjlst4XKK3tbNNtCE68dPOa99tjr024myT9zvm/HykIzvlnMcctjuFGNh2p1LluKUSA5s/jSrHjVh/Gnbc+GZ73JKhZZ2LB56kNH3cVlSuOTrmL301re6T2Pm2KF3bgxe9so1K1z4VeLemJk3+HnncGO9cila3TtrL8HbhQLpxt8O4zsLjOQ3j1qfV6ViYdumfIo8b5QMOvbXz35fCxj1Bs5cnXHCoXa/1Xb+/SPNqaf2Xhh9f28l9/Kq5KzZ7DofiHDGwQ5FOlUOZTgxs/vNUOZTE+s9jh1JgtofyLLSsC/HAQ8CmDyUn7ZoOzeLT78sun7hnHHYz3t8pWWbHF1XD8t/a0enMGrbkoaTb8ijti+oB3Q9PD1Vt1s/qCjoicEeulS72wsWfOilXL+4kDyXlawC9IUyXDzq6xFcndvqLWuGwdLXNO44tm4p03wvlfn73WVIrTzhN0+ujh7f8HI7OBWJgRyeDKkc3gxjY/BepcnSJ9V/Ejq7gbI9uCrSsS/HAU+6mjy7rlbbCTd86o87tnRT+Ml74lKv46ahrlFpjaXmL+O98e3ry6IrE8C+9/eZcRYZVTtjoJZdlqWldCbe3hm92qM1PcJLIjCSPLuXLAr2NZProUj7gAtAB//cF8267sN1nMm6X6yehbJGExl9prFHiffmiNJbZMrETZx/P4YBdIgZ2wDKpcsAziYHNf5kqB5xY/2XsgIvM9oCnQsu6Eg887HH6gM/zOh+re5Q7YVHaAP/YRLCd1C/70q88w0Nn7w9GJzi5DJEHnO1TbPKQiuLygWMWlWuHv3X9iRUKEWXZ4HGZZmBhcXD2XfKAU75S0JPPpw845WsgAF0DQegaENvA5qGjsJIlz3eJxWBEL68+S/7b8mIzxWCehKvZ1gGKcqvncAyvEAM7hllUuQZZxMDmv0qVa0Cs/yp2DcRnew3SoGX9e1YFxSejkkRZb7dMjMVCLMHCx6al7e3N25/org1oBM3X3vgwQk/pxRXyGiztr8z9JhL96sai6F6D6/51XYz87OePLHkm5f7wv0Dr5C/kNaB88aCnrE5fA8qXRQC6LILQZRGBLguxWQyjTVNfG/mv/tj5K3wl626nu7pcxvFK0iXiLBm8PsbH78zhsGYTAzus16hyWa4RA5v/OlUuC7H+69hlkZ7tZTkHLetGPPCwYbIzBoW/NPlFx+XsFEka2P2nOrXU74T01kKta8v7Eq+4+PSTl0WOaZCmrCvUm/aC+U/vxFVben0ntfXD/Y1uj5dl9TBoFZGXhfL15IGuFB90pQSgKyUIXSkR6EqJQ1eK2FJm70WN7ze8XCUvynT/jNvfNLstZ9R1mmiHzmrT3FqTEjOXf6V/gxjYkb5JlSt1kxjY/DlUuVLE+nOwK6Uw2yuVDi3rVjzwlG/yvzPeHZaVa/K6/Uhl6vCvLfJ3dRtd6/X4OTJGOxpu3w9/WD/zY8IBOY6mRpqioVvLTtC8sl/OVxyUd3Hqz83uJxycXPfuB5NXivIl5oEuHh908QSgiycIXTwR6OKJQxdPGrp4xMYvKEu4cJXd9cu+RW1ZT7fIG2+7toHhd9j8HEOhklwLf47fczj4t4iBHfzbVLl4t4mBzZ9LlYtHrD8Xu3jKs71456Fl3YkHHsI/ffH47EVCnpdYHrHf+E1G7EveT9q6qy1dre0SlbvMz93mCmAlL57AYcX6iRqb8NrFm7iqDO6+970az/5MUPNb7SpduYYSUUny4lG+6jzQ9eSDrqcAdD0FoespAl1Pceh6SkPXUwG6nsTxkHu+7o1yUvV/Oqm1jUqLjig/fTg4P7dyw8/zPuqCAlJct+dwPe4QA7seeVS5nnnEwObPp8r1JNafj11P9dlezwvQsgrigTdpTF9Prs3d+1tv9RYtNPgre3qUhd/2fIuH4DX/gCK2z50roqrsyOvJ4bfmcsW8FbleKjoyayfPnaTfn/Tj88mnUgcVgoXuqSvdJK8n5UDggS4xH3SJBaBLLAhdYhHoEotDl1gausQK0CVWhi4xcYgYGHaFlXOzyxzdH9Wr7H4z4ZxSQ31W3YfU00rHV5Ss3d0/h0tUQAzsEt2lyiW+Swxs/ntUucTE+u9hl1h7tpc4A1rW/XjgpTnk78Cf3fxYo6nilXFz2eMzssM0h1ir6N22TjG88WjQkTVYrUteYtatDVpJUQzqh7LK73YHXFZJ/iZXdlrESXcHLeu1rcvSR8hLTDk2eKCrzgdddQHoqgtCV10Euuri0FWXhq66AnTVlaGrrg5ddeKoLbt+Yk1Lnv65JQvjjCaO+Vob00dd38lgLGmf9daOpdddeg5X7T4xsKtWSJWrXkgMbP4iqlx1Yv1F2FU3mu1Vb6dhhRZWHA+8R4v8Sap8eYM648+ALQ2jgmnzGJOU1dr68tYLHSuvTO26w5vGRF52Pr7xI1P3LvE0P/ljk3rJdMDaOsqV31SppqE+8G6m2O1+8rJTjhceKBL4oEgQgCJBEIoEESgSxKFIkIYiQQGKBGUoEtShSNCGIoE4kryWX3k+FA1MbWjcu25n+/Kj/L6Mdhyppzf+vqOdtH7nJZY5XMliYmBX8gFVIuEBMbD5H1IlEoj1P8QiwWL2kcAGLexRPPACvulIYJdpms8m6tSavaavp7CyPb3koURKuyun8yFmo7wplotKZCSIO8UstVC5N++XX7Ca5tsbCpYbWT0rnvv5y99me3xz0smQjATKIcQDBQcfFBwCUHAIQsEhAgWHOBQc0lBwKEDBoQwFhzoUHNpQcBhBwfHv4N7MDf29ttRBxfLM4q0rN1idZMx+Yxy0r9dFnJk3bG/7+zlc3EfEwC5uCVWCo4QY2PylVAkOYv2lWHDYzj442KGFlcUD7/ck/xW211aXV6NHLgh0W/6Q8Xg/zMJ+K1hlw5ngsaQFO0eFRovJ4FgSbp89vDgplodlvnk+8wPPBTH+7F/UfFdJ78mi+/g0mm4mOChGFQ8UL3xQvAhA8SIIxYsIFC/iULxIQ/GiAMWLMhQv6lC8aEPxYgTFiwUUL8Tx5n1/IfHHJSc6/qI22lOHlY8FZvC2JTDVd2x7bDMgLcazfA7Xu4wY2PUup0q8lBMDm/8xVeKFWP9jLF4cZx8vHNDC/r3ahuJLhqfjRbSq6w3HqyCd7FUCyYkcJku1f4d+GDde+PyGIGvFh6Xx3TPxYnFbhv/yp3W3vxeI7qN7fkw/6QtLyLsMEUPzyZGIlvgtM//2iWKg8UAhxAeFkAAUQoJQCIlAISQOhZA0FEIKUAgpQyGkDoWQNhRCRlAIWUAhZAuFEHEJRK+/m/88JVbZY9/gol+cx4ekFr9+stBbTplZ6v7QsOS3uTwvs4IYWAhUUiWEKomBzV9FlRAi1l+FhZDr7EOIE1pYdTzwPvTpEGKKeEK37Ik7l0Dw2iubGtUWn/tEY7y/bU2sHLvHvPD0w8kzf2mW+KZvs4zfMT+fzxI97uOi27NjDP6sXWV6Yd1GLZvk32wz//KMYuzxQFHFB0WVABRVglBUiUBRJQ5FlTQUVQpQVClDUaUORZU2FFVGUFRZQFFlC0WVIxRVxFVh56g2vDSycaX42JSTIM/44TqBV0VVrJOjIYG3ZCXvSMXMISqqiYFFRQ1VoqqGGNj8T6gSVcT6n2BR5TX7qOKCFvbvFV9MbSalGw1rP5pG/WfJ4/tEbFmBTeu3D5yPbEM/nL5XYB1PRhXDxhFJurZLF8+8Tmbnj77rQs9o86eRZpXTtsY7Q3qpN3Jmfo9DV3pe6EjvfMPl7CLSKv0/Eg1yR1O8Cgu6t9T+Gd/vrzrzy1iK4cgDBRofFGgCUKAJQoEmAgWaOBRo0lCgKUCBpgwFmjoUaNpQoBlBgWYBBZotFGiOUKC5QoFGXCiJ3p1OFkY/vR5E/6W5dGMoYMcoe/JqsbveNlP79p4IafWfQ6DUEgMLlKdUCbSnxMDmr6NKoBHrr8MCLXD2gcYNLaye+BQzs2pIGX3gvqPs5n4ay/SSfWtVZNPp0tWF/TmuJAqxPpj5XdXC9I18BqMX7umf/ZqjfkGUOZxtxa7w1+Z/5XqYfBefyJ8JtFjdwZu1TmPVd5w3D277WHk1cmuN44E1PO+CF/qUt183IwONcoTyQLHHB8WeABR7glDsiUCxJw7FnjQUewpQ7ClDsacOxZ42FHtGUOxZQLFnC8WeIxR7rlDseUGxR1w7+bcGXxd9a+zZPd9uecKeTy0Tov+9uTG5RCHw1ViF7VmpqjnETj0xsNh5RpXYe0YMbP7nVIk9Yv3PsdgLn33s8UAL+/cyXa4NfiudJbvU0tkGorefzvVibBC82nvv4QoRw2udx+m2zydjjzZvWP9qmqmrjiHnWc7qCL/spF
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
23xd3biuaoD9Rib/q2vaeViYBOY9pl/W3zQ/kfjo07d/Tqu/pVyYfft3rs5ztnXl6mwZCnpOApLug4vmqN/T6s+w3TQdknVNP5onsL1DSlc7+EHdSTfK/pSQgBYTE3QuCmudxWP0IkN6444rkhSU/PVqPqQlWX2NU0TVVJgE5Lyw3VKLwyiFBl4V9fMELzizwHpfRjFnDlvcrtfNviKswCUgZ3egDZhsksjK9SrXrRNVSwxgkWH9eOJOdODVwhnOthevM33InqfTcu5dy1MvmrFyOy7hr7+97bSyiRsar3pozZjeXMZKApNP9dd/+t2CmUqF+Npvhy2YuftkMg9qmN6albGZN6zftIgHJTTOVzN7BJGOV0hWxrOnq0G6mpxXmrOqf3wltWNum7ptHApLtI5PVplRm+XmmXyKeBYbvohtl4Cis2Bxdlpsb4v9QUJEEJIdkdeHB/Ta+/Qcv0Nat/nCD5kNtUM3wxrdxfmYrDCN/Ns/8LffVxpt37JSyi3b6eCzcrZmjVfqcwUUm6cZ992h+mucnK0hAykVmZMpv7dvSx//y28bMAYeAnSxvVMqY/zRcv73nd+HAXxKQizX6GasmuBe/SXtsN6pit3Xb1qRffENBzGIDqo58KzMuk4Bk+2G15ej4q1hl76vihu1/W9uy1Z9tcRAu8fxQbTrBa3ieBOSC9K90/WedX8f8sSrV7djWph/o3+fWdYj2uYGjXXv2YhMSkMtcSlM9P5XQO77I6xd6eXP+zqKwex5B7/eLDFUqKtb7DJOAXNS8U0/Ht+npVC2Dx/mWtUp6MmEyO1bnlLsbRYRdWx7rMw3IBXICpVtFJt5euG7NfN7PezdHnk+htHa6Yv+2yMLDLs7xcwCcPjEwwBlQBZAGxMDmN6QWIP8xQN7pRIj0Tr9XdYZ6mZeOPDLunzB3/Xz6/O8bTFmnGW4tUSUBKVrVJ24cP/ntc+MLRzrGG/t89barV7wtf/900mtVStjteyQgJc30DOf1LVY0HdrZvvN8+6pvFtsFuE1NOt/lnf+0uev9YxKQdFK3mXO/DOzozDxlFihzWj7taE2g3aLW018W+Ju5r4kSJwHJeNBuDX/379iaj8OHm7T0n4idCa5LOzd53S1OlPF382t5EpCyRh+dWD26A/b/0td1f56c2a7ZKF+Qa5zjs3eIUUmg7h0JSGkN2wEau7R9g4FqRZoZm7g6I/MazJk198WbC3MVDbTEkYBk4NkgbTVfS39ddr2h6UfNa0OvrA6eyWcfOH2sqergr4JoEpCyCdLlHUOFtW8OnDlQWeNW3/vySHxwKu+1R0pFdBIdbPdn3piy7rTIHo/NLrUBwtItRi4+yici2ZQvJK1v2R22xDho+P//ReanJxMtNvc90yWf7rycwyB5Q09GenUCjcFRlS+b8oJv1JCA5Kn2zLnd3N+x5keaTl8ebS1z23YF9xdBLKc6/bcs0GU8SgKSdquPqNOOYwrfRyMu+dSGvd4wmry1VDzSVCLEZ2FGZcTMv8jkXVCxwos34OIb5yjd9Qmda2JSngzMG13rn7xy67jpKRMxEpCC9150B8d1SY/cZVf1T6I7xnJuinHDXyGrx7ltvIqh3nQkIKVF5zlybkxI4uAtT3puc7G5SskvRY9/Jc9JX0PDB6sSaWfemFIYE8DbN6WcIhS+9MGmE0oiZnQj8QrbxJQ3zD84kVhjRgJStoG9/kAfJ9Od8ktB4qu39JR1qcy3XECjHJhv1NjHfECGBCRLv/Cu6zwn/hY2B1b+kBxpn7CI31vxZz6LxGD44OLgDSkkIPlpXA7ELOO6/aJWSMeH88NjiXnOdg+sd5h8nn/OJz1Y32HmjSlcBlavb2VV1NcH77e5c/7159rl5WqXUuJDz9NfGf9e6THzE8g1p23jHJclczA3M3BrFzJI77B49G53j6pxOd3L/O1pq0lALnrLZ3ppc7+842Jbmwsn+tIWXylJy5Tdcni9z5MfTmvpDs/8ctxqWCnKlla5i0NsiTHPBcWyw6XbVYoHWr9diOd/8au4gASkzG2Lo8H8Wok1x366tbMcrXrqKbpuU0Jgrfty3QL6h8/kSEAubz9/bk1SBvOW4LdP9+g82eKiwSDAc4kjybS+z87u94gDCcgVzUnGPHkbHM/dH9teQH/ZZPGvttielPVG564ePknfkn525kmP3PKtnp/37iuuNzbzHCjbkC7bGcWz8938h36sod86AlNIQHLZ1V1WO0oXW3WrRKNmoa9ynZ/g2gs9x6/ft5tquvLoaTgJyHlyWv2Cm73r+fN7NRIHz7E5aFzIfmw0aryacdWQrISDEwlIwW9/hQNuPuKwMMm4vvyklCF7LnPnl9LvCXrrfpn0+J3vJQHJuyZjSsDimlhSdki0/WNbjlyhtvVJ+wNqyxeE+T7UMI2becOv5eHzLCO0USwdIi9qD2gaVtyUZTG9MP+y0H73Uws+65mTgBS+TmMzfPzqid8GN63aJQu/pv6OH7R693KqN+2RjavTzzwSkCKO7v658/1TDLR5R4VNKnf283DYVtS8ONDu69MlKf9vxn+ApJ1My6q9Ef+76r/llRWfDj5mX52gyRB8vvprLZekm5HCIAlIsdqNHJ9Lk9usQozcN8teKGr/4/t20/KVAo47jzW2cA/VkoBczMUx1kDrVhxXtn1X43/l19Y/ni8QuLGMi2nR79UFdwacSUAuWzXo8uu98a6My9tPNwb30jNesrPgEdLO2GY8kUO30voICUgWs+hHhxPNA0R9+p6PX0ipyv+hz7mfXjLl68pbYTb79SpJQC6593tUKyKI16ClavGao82iE/Nsn53SPCdW1WBdu1dCdGLmAd3iKh/6BrvTHq5Q39V3226h/M/HMca2ffxMsfndSltky0lALlX1u3rI61FAw9N1r6PujN/ztOuSGOgpztA4esQuwPxmzcwvx5tdz5jFxs3TWi9jVSuxpbfTeCNtX0KBwfhE1bMfRbl0JCBpmD5ECvMlva028hnc53mh8kyDLoP/tf3dBgqHjzypy1ImAbmS5Rbv8LGqN+UiyUOJW3/l/SnvV8p/L7paI+fO2qYzx8NIQC7i81V5RxN51bv2/vqJS9t7bXr7dzEOqGkrLDh/mXZnq//Mw4B+ZbFG8Ev8/bhL5V2GTTKPX6ewzzKJq4cCn5X8WfH2lQoJyOWGmnEM2dVblieWbqflbGycXDfy4uy6Z7HzPtjrL4yQNCEByS/2ZefWfJlflnLXTe7qi4RKPItyGg28ocHM/DPkzLWnUSQg6b6w5vz4xrY1XczG8izNyeSxq5vV273FNF1+v3a8X+XoRwJSdlfb7y18I7trY18UWhbJXNdTD3nUs/Hel/bqNpuRHYZnSUDKKW6o3av3wbZw6qbhusooF5b3CfwCfNwnstc8DetUaDAkAcmQbBnLeVVEl3OfecurebxjhZE+IpxLrVUC5V52l3w/7EICUsD25PqoDXpWhzIvrzqjssz8Z6ztz5035Ut/Zq+alCR+XUgCUqFz4K+ip3iwqcC3Vz65z2rldRKTpHyzC2RCfAt8mLxSSEDS85gmHPh7u9HDRjPUWXesgDZlpLyEpUqdVr7pXUjdUgYSkEIPGa/cer3r4XV6IeMCpY1G9ZsLfXyv2a493XqCmZdHs4wEJLPNBE+l72Er5o2PzD5keW55ukCyTFbm7k19T+O1OuZPokhAyjufmzDIaL/26tHW7KRKzjH2s+V3imKOsD9m5/WuEN0UPg1IhnMno3Z6KYW+6T5vaaOlu2rIhMW5NpN53THPO+4TfYdWzQFwRsTAAGdMFUAaEwOb34Qqv0InfgKrh/0K/fUc5uf+rvtRo7i8xv0jn976948eJXC2Z7zr6LNtrjHUbzel7ZwGvCE2f9Mc5pc98/Dikjr6kyM8Pe1lXxWYRxluujD1Lw8K5E8otFT18ZzefxNs/jezBXwitK2m8ciP36GnfRk0QZ8iFrJ0cpPz1xdbnoq6hwzwFLiX1vvcdDrxcUd8kL7pRxbzDwvncJBNiYEdZDOqXCQzYmDzm1NnI9dB/xk8/W/nU5tZVNXCy6KNyzvldRcEd4dmMxVIHjFMCeLZPymSKUlu5PK0b/uiA6XsT+hV77ywcDVfQbARn8iXO7eSzi7L6Mg/Zji9kUtEeIJXyvgLPPjS8vJbgc99udTcVc7COfOkq7Vd9+XrzuWLXEcM7Iu0oMpGWhADm9+SOhu5Hqqj6Rv5zNlokmNi7PCZHSKDIV3GJ7zdc25+2VlUEC0QpVxxs4TcSNaO0oWbX3zi3eil4dytvDXpwQJZ1YqKyMmp1uRevcZq0emN5N5vLXZw+5743Enmt6MC7KVVYu7fv0jTGz36L1jIykFMeA5f5HpiYF/kBqps5AZiYPNbUaXaiEQyx6K9mSrVRlwkS2z+t1SpNmL/rbD5W6hzkayhOmqGPvUW+hSxkCWXv21NjBRPV7j7YvkGgYnWUoWn3XIOtc+a+F5dja9r8Z7DQbYmBnaQN1LlIm0kBja/DXU20haqtmao2t5C1UZsJN9aFrrOEulwu3qJvVwMC1le72v/6uByuvz41+og/nvmc/nnBrbEwL7ITVTZyE3EwOa3o85GboaqrRmqtrdQtREbySrzIWbUWCUzOE5qpWd95dMMrwNxz3V2BTRw9sm0PXCby9/kbSYG9kXaU2Uj7YmBzb+FKtVGJJINFu2tVKk24iLZYfO3UaXaiP3fgs3/jjoXaStUR63Qp9qgTxELWdKZG7C5O8X+U5aFF3+rYZ6ie6b55Hux2zpXG+u9K/vy5nCQtxIDO8gOVLlIDsTA5nekzkZiv7xshaqtDao2YiNFvHbzPHzS8W7hRndR4WPalvJZg23X+zt+f83q8zEIjBadwxe5jRjYF+lElY10IgY2/3bqbOQOqNpaoWprg6qN2MhlWQ5PaX68EjLT2qMfF3dKYK1Yfo7/Wg+tsRgFPSklqx1z+CJ3EAP7Ip2pspHOxMDm3znbjYwH/mdFoKldKK/kf6ZOgFqVCENHqP6Iy7Yd6iliM3diX+auWX6Z8cBmsolAO+5CzI79n3Ql/ucGDaxVfnKeto/YvH/PlMDzyKCFTY0L3T5sSv47vGjTV5c5nDhXYmDz76bKid9NDGx+N2psErEBwMdE4E3aUyW88MOQSfCppxeEpC9ubpwIKV75RMpn8aGCvV8Dh06yvPD5NYcvaQ8xsPndqbJJ7sTA5veginiJQ+qGibOLKuIlvn8PbP7u2cZyAvS17oWU2gV9ivi/KPx9n038hRImu8DwvaOvetepWy+7kRgQJpmT9a7SI33Hmjkckb3EwI6IJ1WOKLFLntj8+6izRV6QUrsgpRJbtHxJ8+lTUwHaHjcceZs5vL1ppTcZnXO4sy/ZTVhsaflWrTl8RV7EwL4ib6pskTcxsPn3U2eLDkD+7IL8SWyRWPuORfIVxlzL1Np4vNcurec6Smvr+0dZ0/n3lVdZtwXm
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
230ldffkoCU834YJb+ny6JL8F2PcVTfXudD7P+p5LJNVj1OPj6R3vePBCTrum6WglE+1v9C3pj9UTHbY7knaHjRoCubeJ/qvkUrH0aTgOTs32Fx8W+tn5J93DKd5n8fmuLVKiz2imaf/FyoPyqg84AE5LywHwzd9w7W3ZrckaPZYtmk7eLUdezrefrKTfvMmuNZN5OAFD6cc/9kWzbjvupn3UvePZl7KOPyixOun06LDeYrKpY7DJGAnN9wSGvjufrS8RKmEw/eq6/Skrksc2B1Yp6N7rXLjyT8HCiAnCcnlLNHbLQx/PFOtgeO9ke5nzmkL98Qptht6Z3udvig/ywAJ0UMBjhpmgBSmhhsfZr9BFKGeJW8ldel5Ycca8t0tKIiL7zW6x41PPLtxoOJhAWxN5iSFqqSgFxa0LVMz3+s51tN9T4GloRT57T2q71tzPtUOmanHHw5+QUJSCkDLZ05XayK+oOHmg89aFbu2bpfiE9/85ePzx607f766Q0JSAbpZLan3/sOfInyMXCRuSEfcrHIxWz+hxvf5zkZ2Kz1XUYCkuWs2VrB9gm/otYht/r12sXit93LQkLHHh+7s5RloqFOngSkrG6rFceJdufTw9qaNpV3o5o1auTTnuolOtgOsqwSKvtIAnL5OtM+OrOQU79c1mRoPNzF+8X7WZUhm8Ypf0NR3oy+93dIQDLxGy3fMXe99pb4ch39Vo1Hg7U7zt5O5eq7caW+4Oxw2k0SkLIBy/NaBtNL/jtz+0x+0bHyzncX/N3vCzx6vSqDQbKF8+X0E1O23BA7fmL34RJn0eXvdQ87KHl5cyqFB21/f/TyQj3Xof//i8y24tH3Ji9PhkmVHopOZJJK0JJZvjqAbtNFle+7nrknFJGA5C88mZjc0N2ytj9kY9cz+hK2pv0rbKpd2X2+OFnM02S5SAKSfo/DUqsDV1b0/rkW6VByuc7oz909Ocu89SUvOTA/zL82/ReZAvPeKtgJOEf8d9BXc3vAl7W3gov75vxRd7q7cs9ffZ/N4iQgRV5Ut7vf+br893MuVacghivsoeMsRv+W7HjztElA0cOegQTk8qVz9vEYBwRxC+QFVZpENBSscgzWElzJf/2cjk6mciD99BNT0m85C3SNKwUv8VycuctrlZgBw2//FZbiSkZzz44GFhmQgJSt4io/08WzICUv0nXZaouO3K8qc7fNo1NySdWt6WI7I0MCkr1b1Poxv9e/9AaX/H6p382jW/1t307OZZf85fmL1d0omASkIN3hM7eEeZOrS5ZsdOD5/EZyzkGzzJ0HNn+bG+oQ5q69d/qJKbybdtQlxb4tL3c/bZLyoO5biUTemshgf48HjDF/e/NPTP8Ecu0N0zv7hO9yszUw8W1IZ1p+YOvrj0c7VPXyGN6l7g9ZTQJyfuMi/cjd3fL7WE1Nwr26QlhjskOiZC3ctjsU91upM7hN/3J8x9AqX1N6pa/c4gv1+MMVc91y9qu86vvQE+4vWD38Ko0EpEzy1ovugusDi64MHGtmv1hQenLpll0BLiU2EpppjFkVciQgJZofhK4Neshm4d5YenxjscXhdUxC/JHcQfrlXWZmE7/3koBUaAjS439mtC/05cj+NMbozazDTX4dwdt1Q+PcrjO+D7s3/U2PfPIfTn6zPfWqXM/gZF+uUZjsF1/+Qx/nZjlyePS0uASTgOQ1K4tec5HBryApe10R8zmlMkcR9fCOq49fmo3Xx7wu9SQBOUdufbfIbvtywdTOdYG/Qjn3rguPf6P7R281i/KgrOReKxKQIj3/RJ2fvObeuvnhY4nr0jpcT9m+fM/pDdDaMry5w/FBJwlIgbUPx4W2PhIPir900/yNKffTJU3bg047l+TNu3wua53+nekn/G5ze8D+m96XvUWsuuSMhs7bJ7Ls+uFzo5ectvGZ903LkASk6GM6k6GrcV4Tm57saJZK/3F/wv/Xjo/vxjtDXpscsRp4RgJSbJ+N09O5TsGbNgj8Ed2cf6ibn9v0bVH1meZzDl+l5KdWnAIk/VhIbEmC/0TBT4n8t21n33CtDtBgcn9Q+KOEV+qY7opfJCDFS4y5v+XcbdpxSddmt2x4RvPkucZdEiuF9h26UvOeb7CEBCQrL/dIFf2xV3dy91vX/Mx7tP3NXCEX41zeBfMnVqel9B0kASms/Ovw8Cc964fR+2/UuHcyskSabeVfsuGhpd5oIsPKnRdIQLIb3HztFmjovNShq/JveHBBar82z2lGqeAfK5Mum5zWyicBufDFxJ/111wFNr0vYF17sWHp6BzTCh+NUPGCqp0ltpJLR6e/oHuZyueuX+0hWQpq1l3JZszyA29u6Zl2CS7wS21fZSGbRwJysapj3Hm7185VpVvqfFP+vjhp9lWyr+PVw3UXL5g5Gz4pmv7leMOR2wZ+d+as3y6zo0TSovOLnjF9V0Dapr+jBRX9GU8ZSEDSLfjsLbooqLFQ1+HXqZPh+berNJmcHp1u37TC7UJxWawSCciV7EkCQ1cK/ssTuzsYuGf42WRe96rUT0tXr0tMUa+/ffUyCcj5i86pfKTzjrMvebl9NHJ/p0lntzVL35oNK+Y9iKY/9MFp+suAhmM5rglK/mu1Vvn40OQuv+MXUQdhybjzLhXZkwqNtSokICV0NO4wxRdaSATm7KfnqakZ2/K7+t6WCr85n821ma9JbSYBKSj+/dCeVJnhbXKPNz/XFvOQrPC1+uOSsI6NbeDS7UelviQgGb5zJPb3cO4JEzfZdo/u+t2RuN1qzfbiGocn6va9LNjnSAJS1rppwmLR76MlftXp2zJkHmupXXrdYfzie3Nhk8nvAzr3SEDKKRqV2Gp9Nk0ff6KzJd/3MPunAEGhRXxe8WtLL39ZUaVDApLp7jY/njgxTZ5Thu9r5wiMpHs7iPEs3qniIveuPbvX7TAJSCHT69t9jbR2nI+KVr6tImw44Gc6cOiJfM5AvPKYFPHrQhKQK770/VM8ucxdX6in1uFpRYn8xsAg6XPxaTKXzqU5LLALJgHJyK8fcOZfcs0JEw2Pg5ojafTBv/Oy2QvU6OXrP14qW8xEAnJJFktMUp111mPGJXppq4x1y3enO5x7ZKp+44MXmwC/Ri4JSDaTUf78c2472IxfG3yOPWlROk8qV1bm+RPtk3rqGw2LfUlAyh8MHd30sPlR7es98UH5PCNc9/JSMm5d4HrDJWD/dukuTwogmUKv+x6yW+XxX/uDbSbrNZUHN7MfLIli23LlZIrNaNd55VkAToYYDHCyNAGkLDHY+nI0+RU68RNYSexX6B6zWJ+vV7N13au8IpvWRVrbP71+HcDT/PBjS5dpQ5GOdrM+/RcK4Jdj61+exfqyt7MiFpYxXv/N39Gc+2MF2x+mJ4cXdEu4uggGpG9TdThJuf5y2PqeMwV8IHRZ5f2RH79D3/a15TL0KmIji8d2HfxRbVG61OZSH3+aTU65wxMrr9YD/q7a+q3shp+ZZ3EjyxOD3cgraHKQVhCDra9Amwu5EvrfYMrfzt9vYFdd45l7Uy/vi7zmPPd2j/gFaVIXdIJd+U+PiUVJkRdSIqTn1E0XaXMvrcJD4cyrF6W56y4S+56SFHRP+GFL6hUdyoVcKMbvvlLGSSjz+/t3PWkOL+XuP1U+KJo4Z3nhhiOnUjVn80auJAZ7IxVpciEVicHWX0WbC6kE1RHlRFYc1B3jHh1xu31A7Nelr3pe9jaJT74fyki7KeSr9PZJNnkhOVpymHdXtwkY26072K60Jyhznqzq27feY+Mf7nZq1RQupVxIvtM7xc/uP+7/dIyt8Y8QV06BuE3v9+WMuq9/ui/ZsVdcdBZvpBIx2BupTJMLqUwMtr4KTaqNSCQFLNqv0KTaiIO0Clv/Kk2qjbj+Ktj612hzkFShOroCveoq9CpiIwuje/YEei8LW/G8WsJIaPRDzorSdrm9JRX1i2rj/Mve28/iRlYlBruRV9PkIK0mBlt/DW0upBpUbVegarsKVRtxIRepszN8yV7uaVYuacvLxMxed6r5x97DN/Ku/ih0FXxhOJs/N1AjBnsj19LkQq4lBlt/HW0upDpUbVegarsKVRtxITlkPt/6o6cS5X5HeuXJ8vzSh3Zn7lRutHau4umSaco8NpvP5KkTg72RGjS5kBrEYOuvp0m1EYm0Bot2L5pUG3GQ1mHre9Ok2ojrvx5b/zptDtIGqI68oFd5Q68iNrLwy1Pn3e3B5m2xW+0EP+g8U7SJMhz7JJ68Ma6m3D6/69ksbuQNxGA38kaaHKSNxGDra9LmQmpB1eYFVZs3VG3EhRSzO8qfVdzykdnYZqnolQ3b5GN/NT3ubpn4EdvlsMnl5tJZvJFaxGBvpDZNLqQ2Mdj6m2hzIXWgavOCqs0bqjbiQgrH7i2l669dYrD+uPadOz5C6uKpiU7qJ9aP3FqhJb1qx4FZvJE6xGBvpC5NLqQuMdj6ejO9kP7APysOLb2Z+k7+Z+kAqFWJMNSE6o84bJugniIuph72ZurP8M30By4mtzh0xTcTq2P/kQbEP/dr006VAZ4b5td2nz4+LlTp7cpcX8N87POuu/+G5u/6cXgWd5wBMdj6hjS54w2JwdbfQouLRFwA4GXi8EXaWiDK/Hlws7tPafiS5RG7a0YvvVpZLO3Aej7N9ofL4HX2aofhWbxJW4nB1t9Gk4u0jRhs/e00ES9xk27BxHmHJuIl3v/t2Pr+M43lAOhtNYKUegd61dTv8ntPmfiHZy8wc/G0/VPbuUVtp3BCoPNlqcTYj/knwg6sncUtYkQMdovsoMktuoMYbP2dtLlExpBS70BKnXrRwoYbPuPOG04k7BNo4La3p1++Szd0b8qpu8dExRfn7Vk/i7fImBjsLTKhySUyIQZb35Q2l2gX5M87kD+n/j6l+cB8+bd6vMJrmvjt1ReX816kNz03qaRxcCKmNjZZaDZBv4sY7C0yo8klMiMGW383TX60QqTITixoA2hSNMQRMcXWD6RJ0RDXfze2fhBt/kfOHKqQAOhVgdCriI1Ie2iUdScnXPZZfXLk/FDcupL0XKkk/aLlt/6keeVK7zw5ixvZnBjsRragyUGyIAZbfw9tLuRe6EcrAVBpBUKlRVxIKamj6+TKS+l/eeSuaX1TzyaqdG0nXf7O17zzpZM+/S13nsUbuZcY7I3cR5MLuY8YbH1L2lxIK+hHKwFQtQVC1UZcSPFtBXujnKTedhhky8rwBFaeGqtfr8zo1ZAxFq74fW/Rqlm8kVbEYG/kfppcyP3EYOsfoEm1EYm0B4v2uzSpNuIgWWLr36NJtRHX/wC2fjBtDtJBqI7uQq+6B72K2Ajvi2XK9IKtfhevyaVWu/3Z/4TjES+Lkuviyvv/Tnndq5eexY18k
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
23so2XduuMZ9GtMA0gBZJNP+rRsXgDX1HPvqe/0xKr8r5rcbvTSyV+XXHnhLm7ZiUpkIsK/oxuOHWUf3N71cJ1x9tEx+dZNIarp4hVNZnWOkuKjs88oFtCpbtvqCf5oeLa/X3ZlkwKP8rP6lj0CbBE5/Uo7ZArIwVSaLX3DX/XR75NdYYvIu7+LnCx/Cg5+KX40vrjAZa+BrdrZj4cb3OI0Y8+N2/DNlmTWskdve90zGj74vI3/x6vavx+P4eOFEgalu4w4cUJr6q3eA4ddkmrjGnSYPC56d6zefmxgCf115VJgVzBdof/58mql2Ui54fjd47kTpX1K+W9FV2zPuuuWmtM6AlSIBcs9lJ5QxN2w622cNv4lT295r39+5kHVTcuZ0y9Srvvtc/Mw4BGrrOfEpD8+36/yptL5uf5vN8Jey6RvOHv1/h4SvFViwopkOLa6ucYMqp3iMeX7KHlbm6eMPz17IJhY/S8bmstplNSuqRACoh93rczT3bESD5T956WSLBkY4TtqN+t9aysP4JibtZFkAJJ95k96/sAx86LYuZGF2jOnB+7YbW2001M3f7Pi12FVbu8SYGU29/xZ8fiXwdqo58VGd2XzdRcG/Toi1nB587qDvNfdtoXSIGUX2lc66zZbVE0eVvbsDLCnu1tnIDgYt7TGevqTrxb3qRNCiTDeaNo7hsiGtyHDdpb5vGPFYV5inALmar4yT/vefztmD0pkIIWZ7ZFGGua+KdfXRWjssTgR7TFj323FUp+ZKyakCI+LiQFcvm7wb8rXSQC9QQHWjxzGmsVNsUnSHtl5MsGeeV7srgmkgJJz6cX5/E3u9nJXD14r8ZYPm3ir7LHbFVraRVa3wTVCzGQArnsIfO1Oy/2P8ykX6aTr2S2pcGqyNPrpoVa5OvTrPx86qWkQLKaj/NVeh0zYTV7pN993WVHHaNUqZzsvdtaLjpqmwyeRJACqbA3ZXzzpc6bLY92ZiRUco9xXii7e/9sAGc5J79bhej2kGmBZEg5E7HPVSn4ZU+qkfkGjVXDumx7a9NZDU+63HUc7/NfNQeBYyMKE7hFVBHIRURh67NT5SN04i+wzND65opzWJ/3m8b79cVlNY7vF2tue/voURx356U3XX0WbTXaWp16tO+mBZ4VW3/FHNaXi3l4eVE9/ZlffF86S78uZx1luG3P0i9+1E8grshotafL9P6zY+uvnK3Ax0PbyhELHBNz6Glf5iugq4hGhCa27/36bEedqGPQIF++Y0mD523b0+/tYo9q6b1nM+hmmsNB5iAKO8icVBkkTqKw9bmos5HcyD+DpzdyUVIb22rVkNIonbJ3ChqMgT3BGSz5UgHaiUf53CdE0qXIjRRPHjgc5SdtfVqzel8a05rF+YFbFot8vnsn4cKSS115J7WnN3KRCF/gClkfwQef258P5HsWyiflrNornDVPpnqjw+E8jbncSG6isBvJQ5WN5CEKW5+XOhvJh+CInMjGvVsmuMbHjsXYiQwFfdQ57eaYdfvzvvv5UYIRyhW3H5Mbyd5VwmT17AO/mev6vT3KOxMeMMqtrqgIm5h8fb5Xs7ladHojed1NxY7sORSbM8H6alSQs6RKzPHbZxn6LY/+C1xmYiMmPIcbyUcUdiP5qbKR/ERh6y+mCtqIROLCol2JKmgjBokXW1+ZKmgj9n8xtv4q6gySAIQjJegqZegqopFFVwd2xodJXFx+75m4seD465LldT3yNrWNrYtbbsTWt7vN4SALEIUdZEGqDJIgUdj6QtTZyCUQ2pQgtClDaCM2crEaG927xzIhlg2SzjwMTGwvDnd+tbGPLAv9Wn1UoMBgLl83WEIUdiOXUmUjlxKFrb+MOhspDKFNCUKbMoQ2YiPZZbvPjuqopAeek17h0lBZ
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
23oHkM8UHzm56uJj/jwWz5+NzVSanXsc3ci/P1f6zcFD+Nyl3lHVSH1JAQ0gBjSAFNIEU0BxSQCtIAW0gBbSDFNABUkBnSAE9IAX0gxQwCFLAMEgBYyAFTIIUMB1SwCxIAQshBSyHFLARUsB2SAF7IAUcghRwClHAabmjrIACkALKQAqoCimgLqSAVpACHoIU0B9SwEhIAdMgBcyFFLAKUsB2SAEHEAWcljvKCsgLKaA8pICakAJaQwroBilgGKSAlyEFLIYUsAVSQOi1L5YMkAISCiLFPOAqeFRAQFxQbqHvKNePW2LpNo9KTIX7etf62D6RsZmDgvUThSnYAFUUcIAobP1vVFFAov9vmAKqzV4B10KNDf7D1y2j18HXVnI9u7O9f4/1WFbD4VtJwQ+U3TMzT8QyNTj4kAq4QKI6rO/Igw3qTzY9p8m4xjks4D3YtefEuvurO3qvn9mmRSrggu8yUTc/2WgNbnIZ5j4kerpNpcj+1SWr1pUyffGnvFN9SAWkLJ36kCgaQqJoBImiCSSK5pAoWkGiaAOJoh0kig6QKDpDougBiaIfJIpBkCiGQaIYA4liEiSK6ZAoZkGiWAiJYjkkio2QKLZDotgDieIQJIpTiChOKyBlURSARFEGEkVVSBR1IVG0gkTxECSK/pAoRkKimAaJYi4kilWQKLZDojiAiOK0AlIWRV5IFOUhUdSERNEaEkU3SBTDIFG8DIliMSSKLZAoQi/mmVZAyqIoAokiISoCC9at4OY++v1B1cc6vsoDxbZ+Fno7T5unNTp/+e3idvrzHERtkChM1P6jiij+RxS2/neqiCLR/3dMFK1mL4rroMb+YWJZ1JanO3oOhPGF9z74vujuBXG1+tMu3LEtfKtNFl1j2/mdFEWG5wYs1oaJTLfPapr0yumGJx+7/9o2T6ftTdDHii92sWdJUWRb+7TrEe+m5pXsAncfzFt4X5Fh6WqtmCYhyxd7VTvu9JSRokhZTfUhnTSEdNII0kkTSCfNIZ20gnTSBtJJO0gnHSCddIZ00gPSST9IJ4MgnQyDdDIG0skkSCfTIZ3MgnSyENLJckgnGyGdbId0sgfSySFIJ6cQnSRfzENRJwUgnZSBdFIV0kldSCetIJ08BOmkP6STkZBOpkE6mQvpZBWkk+2QTg4gOkmKIkWd5IV0Uh7SSU1IJ60hnXSDdDIM0snLkE4WQzrZAukk9OqkaVGkrJMikE6qQTpJ6AxrUykznUVZS9EzOf0DmlY5m69wl6zjlUr4tjYuOK7oEsMcdG6IKEznflBFJ38Qha0/TBWdJPofxnTyyOx1cj3U2M9/B86yKLYj/c2mmzLPL173fur6vYvt76tjyT3Fi2uVFpx1nyR1kvUJm8TFcPmjN3KuPOfY/rt12IVh67nwuLydNSfauo6d3ETqpFh7RvierZsUOav4IzUuakxpbD0g97vQcMxAW85WYZv9zKuTKAusPiSdhpB0GkHSaQJJpzkknVaQdNpA0mkHSacDJJ3OkHR6QNLpB0lnECSdYZB0xkDSmQRJZzoknVmQdBZC0lkOSWcjJJ3tkHT2QNI5BEnnFCKd0zpJWToFIOmUgaRTFZJOXUg6rSDpPARJpz8knZGQdKZB0pkLSWcVJJ3tkHQOINJJvmeAonTyQtIpD0mnJiSd1pB0ukHSGQZJ52VIOosh6WyBpBN6udW0TlKWThFIOtUg6bSCpJOQngXsd0q8BItpIxLpje5K3SxaFnLn1J1IBoldQixRPtd0x+YgfT+JwqRvhCrSOUIUtv4vqkgn0f8vTDrPzV461aDGRv8FWultUX2dnFXbKy5ybJp6tX79QveVr0o4GP8uNU4Tb//hR0qn2O+qvqsfLHWWxlvH7boQXpC9gHmxVeaRn8NObKulWxX7SelcXG/7zPf64QqfraP3RQaVxv9mBC864W+2IcG44+xE0rpJUjopa64+pKaGkJoaQWpqAqmpOaSmVpCa2kBqagepqQOkps6QmnpAauoHqWkQpKZhkJrGQGqaBKlpOqSmWZCaFkJqWg6paSOkpu2QmvZAajoEqekUoqbT0klZTQUgNZWB1FQVUlNdSE2tIDU9BKmpP6SmkZCapkFqmgupaRWkpu2Qmg4gakq+44GimvJCaioPqakmpKbWkJq6QWoaBqnpZUhNiyE1bYHUFHr92LR0UlZTEUhN1SA1tYLU9AikpoQaCSfbiCk/zpPUuajTyUa3+413w5bK+6dGutdfOH9SkU8/eg5qOEoUpoZjVFHTMaKw9X9TRU2J/n9japo9ezVVhxobJ66SS5DU2n7SfwOTmyrbXZWchb3tK92srwdKKzv2v79XMz7zaGjJpPtDR184cPxoy/otVrVKSOhClmLV86OyB7t07omHn3Ml1XQpb+e9m/r1wTd5tfTedBpfXHl9bafTKUWJsX1MryLO2a4n1ZSyDOtDAmsICawRJLAmkMCaQwJrBQmsDSSwdpDAOkAC6wwJrAcksH6QwAZBAhsGCWwMJLBJkMCmQwKbBQlsISSw5ZDANkIC2w4JbA8ksEOQwE4hAjutppQFVgASWBlIYFUhgdWFBNYKEthDkMD6QwIbCQlsGiSwuZDAVkEC2w4J7AAisOTjcSgKLC8ksPKQwGpCAmsNCawbJLBhkMBehgS2GBLYFkhgoRfETaspZYEVgQRWDRJYK0hgj0ACew4SWEKg+J+/CS315WxpPOwt9LXIt8cxurCronDToeVrj5x9H3psLu/PHScKE8gJqgjsBFHY+pPUEsg/xFXyW9rVVw0KCSb3LAgau86z2kRMqyvmkIz8cteEOhH7FG5SIGkufDezihBMHOKsDfv59ZtD1zNLhU9bml6toTHP2PaKpYYUSC6FYJNf+6ziQvmkxXe9i62mjap692xkqlyPPtRDqMhHmRRIxkd3zhytzjGel/b2ldrk+d2N12vH9Q69e56VoJE56vvwLymQC8Oiv8w/XnyPWYDVpfd70Iovnjs/dDmnTPro0zaoLau+NvOBupA0Ha1+rUj+epbPJ1YdjDN2vZy6372HbodlzjDXoxJXUiD5XqTNf2R52m55/8fsCsH2/tCiwodlTiWPvD0S2lg5Hw2TAslB1/jjtwTD+d9mBk6iDPcf3L2R3WoS+27N/DKjk75V/q9n3l/7e33DEwHDpq/fxh+qCCmuvsMpc3pF7LcLwia69wbfsD0jBZJh+JGJSYZB6rdvjunrlRhDv64UqOmqe+IsnnM1wvGH9M2ZB/WslVp1uoc+fqhHlWPZiRd2FuJRPgYLinNLVop4P5y8fGNGIBs1DK6p7kqic+cIGWiUDskL4diwiE8/Kp67alPsAae4mXeLLMpYUhTffZOOfv6mcr0Gm8c5U22XPc7uzZR026ph47uNFEj6iRfcJ2wX/JIoGmpWeJe1ZvzOfFvtk90FJVrth+LtIraQAinaE6j3iG6nMN97r1NcDfnWZ/7LVJVy153sEVoQuEbdUpEUSOEMG5eCiF2POS2Gqx+rRpt8TXFP68yL06sZ3mLJcmhAghRISZ1F5k8y7i2PPOonktH8rFZ9IG+4oZdvr6apiH9yyYLEmRe0qdxPWlgXf8X99ESWt37w/aj5fPk39j46pjLwZ2F91ib2mecrlu42OVrj3sWzcvhR/VRCTOzxEItLEYZsCsp/hSTvHewlBVJS40zQYYMMNuHX/71dltp0ge3BQJCXEkfE9lfv7ry2L/UgBVJOK+lF3t/vS1/ei58X4BDqod7Gq7++hXHDxa6efX/3a+iRAsnOPrJAk7F1U7l2Mhu7WbDLcNl19fT3brZrz756POaylG7m/bVdtTt9f5dPZIz36fNq7j5mZHeU4TdLZLNm1sXojX/vTc4I5NCGltIzH3knHjS48aoXeA1FKo3G0ZetPXBzalPW+w4xUiClorwOqzU/H+QwqMpW+dxy0TVRqplHI3FVMgsL782WNUkz38/cpuBbNqSzYCOnzJXSSlfXP+e75HnNvpW9sO/1PdZ5xo0USMFgWSYm6TvP5D9GtLl5r47iapRn3fJavrDxk+fjz7TXVpICSSfGsec+T/b7vR/XWTQcXh4e0bRxkMbeVrdoybOUqD8LCkiBZLj81ZDG58e+4MFzojSaTlnLFGmsfS2ivXV3ph/+b5v8BCmQEqEDAl289YZ5QQuTWx79GO2/GMq2ou9Hh+pkgYRe8Xg2KZDif2vG6g9dymPx0m4Pe/1L/kXhVfU7f/INC9y+6hzgmrKceeA1/culdatNN79b3lG0Xi3jSpBOt+a23NvZHzda6hYkmNCSAsm95+h/4cNn6VV+tPHIMAju8Xog+PH48aPDo8OX+S5fNLw284I2vcjX1ZyFV7YJlV5uENgzFXBu6MAKF5mG3Te1Ir7LdjOTAsl1I8TXd9NrGrq8B3u4tZXVO0ZcyiJ0Xxl7BJoq2GZM8pACKRC4co+yH+ONjW+WhF8IvnN54EqnbAJ7D5fPkZG4zrXBNaRAcjjL3C2tOfuqim2l9s/ER7yBXAILPPSWLkistqu9VPv7JymQ9L3P6+s+dzp9MYzU3RE9byDk2aFNlT/bnQy1+krdBr6+IwWS75OamkCIV2HGipg76Wrd+rKGdHvlkvI/lheLFFtt1BYnBVKcXU7Ai7U+ev0C3y4rzv7SS/a1cg9/PmQ5NvzBomzrbzNSIBdcCHpYbnhgq/qLk7F60XHrTq++f/d4Zz/j0SvDN17ntOSQAim8LpnmLHv3oVixhQne7a0Fsi9jzqRuVqDPiFVPqN/ywG3mb5sPreyubqUXMjzd9sG/4JOnnr0jrwnN0amI+JH6DudIZVIg57HsNx2weiD/w6bV/dBrLRfvUoWQTNdP8hZ352luHwx6SgokXZqKS0tvcGZjxstWD7m9SWdyRdzzlTRkMrrPnVGV+k+IFEjBZRKO+Ufb5nGZfPeVMbO7JpW26IfT65OqS6tvMqto6CmTAjnvRE6wZNE1/6X2TH2LAxljGN1+y6qfXceRO5L07m+QgzApkLIaUR76xpLX011LNtaLqiadYJBk/5EWkxE/ORjDrbbVYea33AkqXwoKEo+7ml+Qz7L/7dD7p6CDTXSLzqpXBswZbaXMpEDSaYwUWv9Zmq5UpJXBof28jUdA7tLm2taXeiUc+q3btu8nBZKXZvI8ZxeLrEnix1NLWm8MH2CpqzBgX/vpzTJjtY61XrmkQHK8ZzHZnsSqME/v86lGv5D9dKMMXEUVVlGlOTlBPg+XriQFkkuquuiIu7lX/5E02vo13bdoumuP1vw0e3XOW19RO+xH28xvuW80375rqZRxf5+nE9MB9awNJU8Z7GUTbhU6RgnQPD1TQQqkfNildIWdfTv6BJ4PmKUP2vjuY3upUso61ZSZfehP0eBfUiAXru9nrhrnXfgyudxyVMVy5+6dCSOLh4+yig2u3rV4xaWrpEByfDfZcfx3S7Sy2w0J7c6/rzsy1jbusBF+7NJdrTfOr51KCiTjxa90/Rf2vjg7ZVKi0bW7Q8vPp+/gR3/ap5t3WXZmLNQlBXKJfUmSy4fH9Lue5fYve357/r77Jwqcjr51FxmuXLmywfMnKZAL2vZpbvJqrZusZXBKbVdT0pQ9IWu3JqvMccupEzfFoz2nBZJRXrBkp8j4q7RMU9ZUb7cDXLmeRTIbL67s3x1WdMx+b+wcBO4PUZjATVFFIKeIwtb/SyWB5KAhrlKwPR0ks8+7pV5bM/1KwCOd/nEDh0+RqX9usVyPZLizaDUpkKJVfRI6sRMDn5qf7aJjvnXYS3PP2opXZW/rJlxXJZ7ILiAFUkpfU3te38KVesP7Oveldq4a2LpHkFdP992b3NQPVh/flpMCSSedzZrzedDuXXq4vp9spELy8Ro/ywWvIz8z+ug7rouQIAWS+YjlOoGeP9E1738ea92g9UQsJrA+OWUi8+A5UeY/bS8USIGU2/Lelt2px9d9REvD8en59E71ZoX8HJ0sT+dhZiXB+jekQMqstxiksUw+POSnel/90naed2G5TQas6odjDYR57g+2nyMFkoHPWMZk/gYtw4wGbb336jeHW0yOxORxDkaebK06MpIfRQqkXJxMWddwUe1LjxiPypqDDb3PA2IDk/hvPlK6TyfZxVE488YUw0iRQ05W9rW+wjLtW+w9lU+HcSinJWxrP3Bikc7Rn///jcwPT8bbzQtdLkrV7buaxSB1S1NWZk0czebjKp+35wbeqiEFkq/aJSu7rb9r3ffkTX25tLWsHXuWOz47yhb+zmcHowbzcVIgaXd6itranVz+bfTUFc/aEy+MR8/vLJEI05MM8mS6VHlq5huZ/IwViq78vpdf7o3Q2Bb3bt3ZxCeD80bVfM6v2PlbL1xXjBTIpQXPegLPfZT5dY9ztU8C3Um2lElm47/LTMpzOvhXBrvRkQIpIzpvF7dZXAIXf1nCU/PLbVVK3omaAiv4znhpaz9YFU8788aUorO+/H2TyonLQoQebD+tJKJP9yt2+W4xZeP5R8bja/RJgZRr4mzw6ONmuVt25ajEmh1fSj+qzDdipFH2y9vS3MfqIUsKJFu/8P5MvtN/i9r8Kr9L/eoc3xrrXDE1n01yKGRoYaBxIimQA
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","debug_symbols":"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","file_map":{"17":{"source":"pub mod bn254;\\nuse crate::{runtime::is_unconstrained, static_assert};\\nuse bn254::lt as bn254_lt;\\n\\nimpl Field {\\n /// Asserts that `self` can be represented in `bit_size` bits.\\n ///\\n /// # Failures\\n /// Causes a constraint failure for `Field` values exceeding `2^{bit_size}`.\\n // docs:start:assert_max_bit_size\\n pub fn assert_max_bit_size<let BIT_SIZE: u32>(self) {\\n // docs:end:assert_max_bit_size\\n static_assert(\\n BIT_SIZE < modulus_num_bits() as u32,\\n \\"BIT_SIZE must be less than modulus_num_bits\\",\\n );\\n __assert_max_bit_size(self, BIT_SIZE);\\n }\\n\\n /// Decomposes `self` into its little endian bit decomposition as a `[bool; N]` array.\\n /// This array will be zero padded should not all bits be necessary to represent `self`.\\n ///\\n /// # Failures\\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting array will not\\n /// be able to represent the original `Field`.\\n ///\\n /// # Safety\\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\\n // docs:start:to_le_bits\\n pub fn to_le_bits<let N: u32>(self: Self) -> [bool; N] {\\n // docs:end:to_le_bits\\n let bits = __to_le_bits(self);\\n\\n if !is_unconstrained() {\\n // Ensure that the byte decomposition does not overflow the modulus\\n let p = modulus_le_bits();\\n assert(bits.len() <= p.len());\\n let mut ok = bits.len() != p.len();\\n for i in 0..N {\\n if !ok {\\n if (bits[N - 1 - i] != p[N - 1 - i]) {\\n assert(p[N - 1 - i]);\\n ok = true;\\n }\\n }\\n }\\n assert(ok);\\n }\\n bits\\n }
23\\n\\n /// Decomposes `self` into its big endian bit decomposition as a `[bool; N]` array.\\n /// This array will be zero padded should not all bits be necessary to represent `self`.\\n ///\\n /// # Failures\\n /// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting array will not\\n /// be able to represent the original `Field`.\\n ///\\n /// # Safety\\n /// The bit decomposition returned is canonical and is guaranteed to not overflow the modulus.\\n // docs:start:to_be_bits\\n pub fn to_be_bits<let N: u32>(self: Self) -> [bool; N] {\\n // docs:end:to_be_bits\\n let bits = __to_be_bits(self);\\n\\n if !is_unconstrained() {\\n // Ensure that the decomposition does not overflow the modulus\\n let p = modulus_be_bits();\\n assert(bits.len() <= p.len());\\n let mut ok = bits.len() != p.len();\\n for i in 0..N {\\n if !ok {\\n if (bits[i] != p[i]) {\\n assert(p[i]);\\n ok = true;\\n }\\n }\\n }\\n assert(ok);\\n }\\n bits\\n }\\n\\n /// Decomposes `self` into its little endian byte decomposition as a `[u8;N]` array\\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\\n ///\\n /// # Failures\\n /// The length N of the array must be big enough to contain all the bytes of the \'self\',\\n /// and no more than the number of bytes required to represent the field modulus\\n ///\\n /// # Safety\\n /// The result is ensured to be the canonical decomposition of the field element\\n // docs:start:to_le_bytes\\n pub fn to_le_bytes<let N: u32>(self: Self) -> [u8; N] {\\n // docs:end:to_le_bytes\\n static_assert(\\n N <= modulus_le_bytes().len(),\\n \\"N must be less than or equal to modulus_le_bytes().len()\\",\\n );\\n // Compute the byte decomposition\\n let bytes = self.to_le_radix(256);\\n\\n if !is_unconstrained() {\\n // Ensure that the byte decomposition does not overflow the modulus\\n let p = modulus_le_bytes();\\n assert(bytes.len() <= p.len());\\n let mut ok = bytes.len() != p.len();\\n for i in 0..N {\\n if !ok {\\n if (bytes[N - 1 - i] != p[N - 1 - i]) {\\n assert(bytes[N - 1 - i] < p[N - 1 - i]);\\n ok = true;\\n }\\n }\\n }\\n assert(ok);\\n }\\n bytes\\n }\\n\\n /// Decomposes `self` into its big endian byte decomposition as a `[u8;N]` array of length required to represent the field modulus\\n /// This array will be zero padded should not all bytes be necessary to represent `self`.\\n ///\\n /// # Failures\\n /// The length N of the array must be big enough to contain all the bytes of the \'self\',\\n /// and no more than the number of bytes required to represent the field modulus\\n ///\\n /// # Safety\\n /// The result is ensured to be the canonical decomposition of the field element\\n // docs:start:to_be_bytes\\n pub fn to_be_bytes<let N: u32>(self: Self) -> [u8; N] {\\n // docs:end:to_be_bytes\\n static_assert(\\n N <= modulus_le_bytes().len(),\\n \\"N must be less than or equal to modulus_le_bytes().len()\\",\\n );\\n // Compute the byte decomposition\\n let bytes = self.to_be_radix(256);\\n\\n if !is_unconstrained() {\\n // Ensure that the byte decomposition does not overflow the modulus\\n let p = modulus_be_bytes();\\n assert(bytes.len() <= p.len());\\n let mut ok = bytes.len() != p.len();\\n for i in 0..N {\\n if !ok {\\n if (bytes[i] != p[i]) {\\n assert(bytes[i] < p[i]);\\n ok = true;\\n }\\n }\\n }\\n assert(ok);\\n }\\n bytes\\n }\\n\\n fn to_le_radix<let N: u32>(self: Self, radix: u32) -> [u8; N] {\\n // Brillig does not need an immediate radix\\n if !crate::runtime::is_unconstrained() {\\n static_assert(1 < radix, \\"radix must be greater than 1\\");\\n static_assert(radix <= 256, \\"radix must be less than or equal to 256\\");\\n static_assert(radix & (radix - 1) == 0, \\"radix must be a power of 2\\");\\n }\\n __to_le_radix(self, radix)\\n }\\n\\n fn to_be_radix<let N: u32>(self: Self, radix: u32) -> [u8; N] {\\n // Brillig does not need an immediate radix\\n if !crate::runtime::is_unconstrained() {\\n static_assert(1 < radix, \\"radix must be greater than 1\\");\\n static_assert(radix <= 256, \\"radix must be less than or equal to 256\\");\\n static_assert(radix & (radix - 1) == 0, \\"radix must be a power of 2\\");\\n }\\n __to_be_radix(self, radix)\\n }\\n\\n // Returns self to the power of the given exponent value.\\n // Caution: we assume the exponent fits into 32 bits\\n // using a bigger bit size impacts negatively the performance and should be done only if the exponent does not fit in 32 bits\\n pub fn pow_32(self, exponent: Field) -> Field {\\n let mut r: Field = 1;\\n let b: [bool; 32] = exponent.to_le_bits();\\n\\n for i in 1..33 {\\n r *= r;\\n r = (b[32 - i] as Field) * (r * self) + (1 - b[32 - i] as Field) * r;\\n }\\n r\\n }\\n\\n // Parity of (prime) Field element, i.e. sgn0(x mod p) = false if x `elem` {0, ..., p-1} is even, otherwise sgn0(x mod p) = true.\\n pub fn sgn0(self) -> bool {\\n (self as u8) % 2 == 1\\n }\\n\\n pub fn lt(self, another: Field) ->
23 bool {\\n if crate::compat::is_bn254() {\\n bn254_lt(self, another)\\n } else {\\n lt_fallback(self, another)\\n }\\n }\\n\\n /// Convert a little endian byte array to a field element.\\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\\n pub fn from_le_bytes<let N: u32>(bytes: [u8; N]) -> Field {\\n static_assert(\\n N <= modulus_le_bytes().len(),\\n \\"N must be less than or equal to modulus_le_bytes().len()\\",\\n );\\n let mut v = 1;\\n let mut result = 0;\\n\\n for i in 0..N {\\n result += (bytes[i] as Field) * v;\\n v = v * 256;\\n }\\n result\\n }\\n\\n /// Convert a big endian byte array to a field element.\\n /// If the provided byte array overflows the field modulus then the Field will silently wrap around.\\n pub fn from_be_bytes<let N: u32>(bytes: [u8; N]) -> Field {\\n let mut v = 1;\\n let mut result = 0;\\n\\n for i in 0..N {\\n result += (bytes[N - 1 - i] as Field) * v;\\n v = v * 256;\\n }\\n result\\n }\\n}\\n\\n#[builtin(apply_range_constraint)]\\nfn __assert_max_bit_size(value: Field, bit_size: u32) {}\\n\\n// `_radix` must be less than 256\\n#[builtin(to_le_radix)]\\nfn __to_le_radix<let N: u32>(value: Field, radix: u32) -> [u8; N] {}\\n\\n// `_radix` must be less than 256\\n#[builtin(to_be_radix)]\\nfn __to_be_radix<let N: u32>(value: Field, radix: u32) -> [u8; N] {}\\n\\n/// Decomposes `self` into its little endian bit decomposition as a `[bool; N]` array.\\n/// This array will be zero padded should not all bits be necessary to represent `self`.\\n///\\n/// # Failures\\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting array will not\\n/// be able to represent the original `Field`.\\n///\\n/// # Safety\\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\\n/// wrap around due to overflow when verifying the decomposition.\\n#[builtin(to_le_bits)]\\nfn __to_le_bits<let N: u32>(value: Field) -> [bool; N] {}\\n\\n/// Decomposes `self` into its big endian bit decomposition as a `[bool; N]` array.\\n/// This array will be zero padded should not all bits be necessary to represent `self`.\\n///\\n/// # Failures\\n/// Causes a constraint failure for `Field` values exceeding `2^N` as the resulting array will not\\n/// be able to represent the original `Field`.\\n///\\n/// # Safety\\n/// Values of `N` equal to or greater than the number of bits necessary to represent the `Field` modulus\\n/// (e.g. 254 for the BN254 field) allow for multiple bit decompositions. This is due to how the `Field` will\\n/// wrap around due to overflow when verifying the decomposition.\\n#[builtin(to_be_bits)]\\nfn __to_be_bits<let N: u32>(value: Field) -> [bool; N] {}\\n\\n#[builtin(modulus_num_bits)]\\npub comptime fn modulus_num_bits() -> u64 {}\\n\\n#[builtin(modulus_be_bits)]\\npub comptime fn modulus_be_bits() -> [bool] {}\\n\\n#[builtin(modulus_le_bits)]\\npub comptime fn modulus_le_bits() -> [bool] {}\\n\\n#[builtin(modulus_be_bytes)]\\npub comptime fn modulus_be_bytes() -> [u8] {}\\n\\n#[builtin(modulus_le_bytes)]\\npub comptime fn modulus_le_bytes() -> [u8] {}\\n\\n/// An unconstrained only built in to efficiently compare fields.\\n#[builtin(field_less_than)]\\nunconstrained fn __field_less_than(x: Field, y: Field) -> bool {}\\n\\npub(crate) unconstrained fn field_less_than(x: Field, y: Field) -> bool {\\n __field_less_than(x, y)\\n}\\n\\n// Convert a 32 byte array to a field element by modding\\npub fn bytes32_to_field(bytes32: [u8; 32]) -> Field {\\n // Convert it to a field element\\n let mut v = 1;\\n let mut high = 0 as Field;\\n let mut low = 0 as Field;\\n\\n for i in 0..16 {\\n high = high + (bytes32[15 - i] as Field) * v;\\n low = low + (bytes32[16 + 15 - i] as Field) * v;\\n v = v * 256;\\n }\\n // Abuse that a % p + b % p = (a + b) % p and that low < p\\n low + high * v\\n}\\n\\nfn lt_fallback(x: Field, y: Field) -> bool {\\n if is_unconstrained() {\\n // Safety: unconstrained context\\n unsafe {\\n field_less_than(x, y)\\n }\\n } else {\\n let x_bytes: [u8; 32] = x.to_le_bytes();\\n let y_bytes: [u8; 32] = y.to_le_bytes();\\n let mut x_is_lt = false;\\n let mut done = false;\\n for i in 0..32 {\\n if (!done) {\\n let x_byte = x_bytes[32 - 1 - i] as u8;\\n let y_byte = y_bytes[32 - 1 - i] as u8;\\n let bytes_match = x_byte == y_byte;\\n if !bytes_match {\\n x_is_lt = x_byte < y_byte;\\n done = true;\\n }\\n }\\n }\\n x_is_lt\\n }\\n}\\n\\nmod tests {\\n use crate::{panic::panic, runtime, static_assert};\\n use super::{\\n field_less_than, modulus_be_bits, modulus_be_bytes, modulus_le_bits, modulus_le_bytes,\\n };\\n\\n #[test]\\n // docs:start:to_be_bits_example\\n fn test_to_be_bits() {\\n let field = 2;\\n let bits: [bool; 8] = field.to_be_bits();\\n assert_eq(bits, [false, false, false, false, false, false, true, false]);\\n }\\n // docs:end:to_be_bits_example\\n\\n #[test]\\n // docs:start:to_le_bits_example\\n fn test_to_le_bits() {\\n let field = 2;\\n let bits: [bool; 8] = field.to_le_bits();\\n assert_eq(bits, [false, true, false, false, false, false, false, false]);\\n }\\n // docs:end:to_le_bits_example\\n\\n #[test]\\n // docs:start:to_be_bytes_example\\n fn test_to_be_bytes() {\\n let field = 2;\\n let bytes: [u8; 8] = field.to_be_bytes();\\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 0, 2]);\\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\\n }\\n // docs:end:to_be_bytes_example\\n\\n #[test]\\n // docs:start:to_le_b
23ytes_example\\n fn test_to_le_bytes() {\\n let field = 2;\\n let bytes: [u8; 8] = field.to_le_bytes();\\n assert_eq(bytes, [2, 0, 0, 0, 0, 0, 0, 0]);\\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\\n }\\n // docs:end:to_le_bytes_example\\n\\n #[test]\\n // docs:start:to_be_radix_example\\n fn test_to_be_radix() {\\n // 259, in base 256, big endian, is [1, 3].\\n // i.e. 3 * 256^0 + 1 * 256^1\\n let field = 259;\\n\\n // The radix (in this example, 256) must be a power of 2.\\n // The length of the returned byte array can be specified to be\\n // >= the amount of space needed.\\n let bytes: [u8; 8] = field.to_be_radix(256);\\n assert_eq(bytes, [0, 0, 0, 0, 0, 0, 1, 3]);\\n assert_eq(Field::from_be_bytes::<8>(bytes), field);\\n }\\n // docs:end:to_be_radix_example\\n\\n #[test]\\n // docs:start:to_le_radix_example\\n fn test_to_le_radix() {\\n // 259, in base 256, little endian, is [3, 1].\\n // i.e. 3 * 256^0 + 1 * 256^1\\n let field = 259;\\n\\n // The radix (in this example, 256) must be a power of 2.\\n // The length of the returned byte array can be specified to be\\n // >= the amount of space needed.\\n let bytes: [u8; 8] = field.to_le_radix(256);\\n assert_eq(bytes, [3, 1, 0, 0, 0, 0, 0, 0]);\\n assert_eq(Field::from_le_bytes::<8>(bytes), field);\\n }\\n // docs:end:to_le_radix_example\\n\\n #[test(should_fail_with = \\"radix must be greater than 1\\")]\\n fn test_to_le_radix_1() {\\n // this test should only fail in constrained mode\\n if !runtime::is_unconstrained() {\\n let field = 2;\\n let _: [u8; 8] = field.to_le_radix(1);\\n } else {\\n panic(\\"radix must be greater than 1\\");\\n }\\n }\\n\\n // Updated test to account for Brillig restriction that radix must be greater than 2\\n #[test(should_fail_with = \\"radix must be greater than 1\\")]\\n fn test_to_le_radix_brillig_1() {\\n // this test should only fail in constrained mode\\n if !runtime::is_unconstrained() {\\n let field = 1;\\n let _: [u8; 8] = field.to_le_radix(1);\\n } else {\\n panic(\\"radix must be greater than 1\\");\\n }\\n }\\n\\n #[test(should_fail_with = \\"radix must be a power of 2\\")]\\n fn test_to_le_radix_3() {\\n // this test should only fail in constrained mode\\n if !runtime::is_unconstrained() {\\n let field = 2;\\n let _: [u8; 8] = field.to_le_radix(3);\\n } else {\\n panic(\\"radix must be a power of 2\\");\\n }\\n }\\n\\n #[test]\\n fn test_to_le_radix_brillig_3() {\\n // this test should only fail in constrained mode\\n if runtime::is_unconstrained() {\\n let field = 1;\\n let out: [u8; 8] = field.to_le_radix(3);\\n let mut expected = [0; 8];\\n expected[0] = 1;\\n assert(out == expected, \\"unexpected result\\");\\n }\\n }\\n\\n #[test(should_fail_with = \\"radix must be less than or equal to 256\\")]\\n fn test_to_le_radix_512() {\\n // this test should only fail in constrained mode\\n if !runtime::is_unconstrained() {\\n let field = 2;\\n let _: [u8; 8] = field.to_le_radix(512);\\n } else {\\n panic(\\"radix must be less than or equal to 256\\")\\n }\\n }\\n\\n #[test(should_fail_with = \\"Field failed to decompose into specified 16 limbs\\")]\\n unconstrained fn not_enough_limbs_brillig() {\\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\\n }\\n\\n #[test(should_fail_with = \\"Field failed to decompose into specified 16 limbs\\")]\\n fn not_enough_limbs() {\\n let _: [u8; 16] = 0x100000000000000000000000000000000.to_le_bytes();\\n }\\n\\n #[test]\\n unconstrained fn test_field_less_than() {\\n assert(field_less_than(0, 1));\\n assert(field_less_than(0, 0x100));\\n assert(field_less_than(0x100, 0 - 1));\\n assert(!field_less_than(0 - 1, 0));\\n }\\n\\n #[test]\\n unconstrained fn test_large_field_values_unconstrained() {\\n let large_field = 0xffffffffffffffff;\\n\\n let bits: [bool; 64] = large_field.to_le_bits();\\n assert_eq(bits[0], true);\\n\\n let bytes: [u8; 8] = large_field.to_le_bytes();\\n assert_eq(Field::from_le_bytes::<8>(bytes), large_field);\\n\\n let radix_bytes: [u8; 8] = large_field.to_le_radix(256);\\n assert_eq(Field::from_le_bytes::<8>(radix_bytes), large_field);\\n }\\n\\n #[test]\\n fn test_large_field_values() {\\n let large_val = 0xffffffffffffffff;\\n\\n let bits: [bool; 64] = large_val.to_le_bits();\\n assert_eq(bits[0], true);\\n\\n let bytes: [u8; 8] = large_val.to_le_bytes();\\n assert_eq(Field::from_le_bytes::<8>(bytes), large_val);\\n\\n let radix_bytes: [u8; 8] = large_val.to_le_radix(256);\\n assert_eq(Field::from_le_bytes::<8>(radix_bytes), large_val);\\n }\\n\\n #[test]\\n fn test_decomposition_edge_cases() {\\n let zero_bits: [bool; 8] = 0.to_le_bits();\\n assert_eq(zero_bits, [false; 8]);\\n\\n let zero_bytes: [u8; 8] = 0.to_le_bytes();\\n assert_eq(zero_bytes, [0; 8]);\\n\\n let one_bits: [bool; 8] = 1.to_le_bits();\\n let expected: [bool; 8] = [true, false, false, false, false, false, false, false];\\n assert_eq(one_bits, expected);\\n\\n let pow2_bits: [bool; 8] = 4.to_le_bits();\\n let expected: [bool; 8] = [false, false, true, false, false, false, false, false];\\n assert_eq(pow2_bits, expected);\\n }\\n\\n #[test]\\n fn test_pow_32() {\\n assert_eq(2.pow_32(3), 8);\\n assert_eq(3.pow_32(2), 9);\\n assert_eq(5.pow_32(0), 1);\\n assert_eq(7.pow_32(1), 7);\\n\\n assert_eq(2.pow_32(10), 1024);\\n\\n assert_eq(0.pow_32(5), 0);\\n assert_eq(0.pow_32(0), 1);\\n\\n assert_eq(1.pow_32(100), 1);\\n }\\n\\n #[test]\\n fn test_sgn0() {\\n assert_eq(0.sgn0(), false);\\n assert_eq(2.sgn0(), false);\\n assert_eq(4.sgn0(), false);\\n assert_eq(100.sgn0(), false);\\n\\n assert_eq(1.sgn0(), true);\\n assert_eq(3.sgn0(), true);\\n assert_eq(5.sgn0(), true);\\n assert_eq(101.sgn0(), true);\\n }\\n\\n #[test(should_fail_with = \\"Field failed to decompose into specified 8 limbs\\")]\\n fn test_bit_decomposition_overflow() {\\n // 8 bits can\'t represent large field values\\n let large_val = 0x1000000000000000;\\n let _: [bool; 8] = large_val.to_le_bits();\\n }\\n\\n #[test(should_fail_with = \\"Field failed to decompose into specified 4 limbs\\")]\\n fn test_byte_decomposition_overflow() {\\n // 4 bytes can\'t represent large field values\\n let large_val = 0x1000000000000000;\\n let _: [u8; 4] = large_val.to_le_bytes();\\n }\\n\\n #[test]\\n fn test_to_from_be_bytes_bn254_edge_cases() {\\n if crate::compat::is_b
23n254() {\\n // checking that decrementing this byte produces the expected 32 BE bytes for (modulus - 1)\\n let mut p_minus_1_bytes: [u8; 32] = modulus_be_bytes().as_array();\\n assert(p_minus_1_bytes[32 - 1] > 0);\\n p_minus_1_bytes[32 - 1] -= 1;\\n\\n let p_minus_1 = Field::from_be_bytes::<32>(p_minus_1_bytes);\\n assert_eq(p_minus_1 + 1, 0);\\n\\n // checking that converting (modulus - 1) from and then to 32 BE bytes produces the same bytes\\n let p_minus_1_converted_bytes: [u8; 32] = p_minus_1.to_be_bytes();\\n assert_eq(p_minus_1_converted_bytes, p_minus_1_bytes);\\n\\n // checking that incrementing this byte produces 32 BE bytes for (modulus + 1)\\n let mut p_plus_1_bytes: [u8; 32] = modulus_be_bytes().as_array();\\n assert(p_plus_1_bytes[32 - 1] < 255);\\n p_plus_1_bytes[32 - 1] += 1;\\n\\n let p_plus_1 = Field::from_be_bytes::<32>(p_plus_1_bytes);\\n assert_eq(p_plus_1, 1);\\n\\n // checking that converting p_plus_1 to 32 BE bytes produces the same\\n // byte set to 1 as p_plus_1_bytes and otherwise zeroes\\n let mut p_plus_1_converted_bytes: [u8; 32] = p_plus_1.to_be_bytes();\\n assert_eq(p_plus_1_converted_bytes[32 - 1], 1);\\n p_plus_1_converted_bytes[32 - 1] = 0;\\n assert_eq(p_plus_1_converted_bytes, [0; 32]);\\n\\n // checking that Field::from_be_bytes::<32> on the Field modulus produces 0\\n assert_eq(modulus_be_bytes().len(), 32);\\n let p = Field::from_be_bytes::<32>(modulus_be_bytes().as_array());\\n assert_eq(p, 0);\\n\\n // checking that converting 0 to 32 BE bytes produces 32 zeroes\\n let p_bytes: [u8; 32] = 0.to_be_bytes();\\n assert_eq(p_bytes, [0; 32]);\\n }\\n }\\n\\n #[test]\\n fn test_to_from_le_bytes_bn254_edge_cases() {\\n if crate::compat::is_bn254() {\\n // checking that decrementing this byte produces the expected 32 LE bytes for (modulus - 1)\\n let mut p_minus_1_bytes: [u8; 32] = modulus_le_bytes().as_array();\\n assert(p_minus_1_bytes[0] > 0);\\n p_minus_1_bytes[0] -= 1;\\n\\n let p_minus_1 = Field::from_le_bytes::<32>(p_minus_1_bytes);\\n assert_eq(p_minus_1 + 1, 0);\\n\\n // checking that converting (modulus - 1) from and then to 32 BE bytes produces the same bytes\\n let p_minus_1_converted_bytes: [u8; 32] = p_minus_1.to_le_bytes();\\n assert_eq(p_minus_1_converted_bytes, p_minus_1_bytes);\\n\\n // checking that incrementing this byte produces 32 LE bytes for (modulus + 1)\\n let mut p_plus_1_bytes: [u8; 32] = modulus_le_bytes().as_array();\\n assert(p_plus_1_bytes[0] < 255);\\n p_plus_1_bytes[0] += 1;\\n\\n let p_plus_1 = Field::from_le_bytes::<32>(p_plus_1_bytes);\\n assert_eq(p_plus_1, 1);\\n\\n // checking that converting p_plus_1 to 32 LE bytes produces the same\\n // byte set to 1 as p_plus_1_bytes and otherwise zeroes\\n let mut p_plus_1_converted_bytes: [u8; 32] = p_plus_1.to_le_bytes();\\n assert_eq(p_plus_1_converted_bytes[0], 1);\\n p_plus_1_converted_bytes[0] = 0;\\n assert_eq(p_plus_1_converted_bytes, [0; 32]);\\n\\n // checking that Field::from_le_bytes::<32> on the Field modulus produces 0\\n assert_eq(modulus_le_bytes().len(), 32);\\n let p = Field::from_le_bytes::<32>(modulus_le_bytes().as_array());\\n assert_eq(p, 0);\\n\\n // checking that converting 0 to 32 LE bytes produces 32 zeroes\\n let p_bytes: [u8; 32] = 0.to_le_bytes();\\n assert_eq(p_bytes, [0; 32]);\\n }\\n }\\n\\n /// Convert a little endian bit array to a field element.\\n /// If the provided bit array overflows the field modulus then the Field will silently wrap around.\\n fn from_le_bits<let N: u32>(bits: [bool; N]) -> Field {\\n static_assert(\\n N <= modulus_le_bits().len(),\\n \\"N must be less than or equal to modulus_le_bits().len()\\",\\n );\\n let mut v = 1;\\n let mut result = 0;\\n\\n for i in 0..N {\\n result += (bits[i] as Field) * v;\\n v = v * 2;\\n }\\n result\\n }\\n\\n /// Convert a big endian bit array to a field element.\\n /// If the provided bit array overflows the field modulus then the Field will silently wrap around.\\n fn from_be_bits<let N: u32>(bits: [bool; N]) -> Field {\\n let mut v = 1;\\n let mut result = 0;\\n\\n for i in 0..N {\\n result += (bits[N - 1 - i] as Field) * v;\\n v = v * 2;\\n }\\n result\\n }\\n\\n #[test]\\n fn test_to_from_be_bits_bn254_edge_cases() {\\n if crate::compat::is_b
23n254() {\\n // checking that decrementing this bit produces the expected 254 BE bits for (modulus - 1)\\n let mut p_minus_1_bits: [bool; 254] = modulus_be_bits().as_array();\\n assert(p_minus_1_bits[254 - 1]);\\n p_minus_1_bits[254 - 1] = false;\\n\\n let p_minus_1 = from_be_bits::<254>(p_minus_1_bits);\\n assert_eq(p_minus_1 + 1, 0);\\n\\n // checking that converting (modulus - 1) from and then to 254 BE bits produces the same bits\\n let p_minus_1_converted_bits: [bool; 254] = p_minus_1.to_be_bits();\\n assert_eq(p_minus_1_converted_bits, p_minus_1_bits);\\n\\n // checking that incrementing this bit produces 254 BE bits for (modulus + 4)\\n let mut p_plus_4_bits: [bool; 254] = modulus_be_bits().as_array();\\n assert(!p_plus_4_bits[254 - 3]);\\n p_plus_4_bits[254 - 3] = true;\\n\\n let p_plus_4 = from_be_bits::<254>(p_plus_4_bits);\\n assert_eq(p_plus_4, 4);\\n\\n // checking that converting p_plus_4 to 254 BE bits produces the same\\n // bit set to 1 as p_plus_4_bits and otherwise zeroes\\n let mut p_plus_4_converted_bits: [bool; 254] = p_plus_4.to_be_bits();\\n assert(p_plus_4_converted_bits[254 - 3]);\\n p_plus_4_converted_bits[254 - 3] = false;\\n assert_eq(p_plus_4_converted_bits, [false; 254]);\\n\\n // checking that Field::from_be_bits::<254> on the Field modulus produces 0\\n assert_eq(modulus_be_bits().len(), 254);\\n let p = from_be_bits::<254>(modulus_be_bits().as_array());\\n assert_eq(p, 0);\\n\\n // checking that converting 0 to 254 BE bits produces 254 false values\\n let p_bits: [bool; 254] = 0.to_be_bits();\\n assert_eq(p_bits, [false; 254]);\\n }\\n }\\n\\n #[test]\\n fn test_to_from_le_bits_bn254_edge_cases() {\\n if crate::compat::is_bn254() {\\n // checking that decrementing this bit produces the expected 254 LE bits for (modulus - 1)\\n let mut p_minus_1_bits: [bool; 254] = modulus_le_bits().as_array();\\n assert(p_minus_1_bits[0]);\\n p_minus_1_bits[0] = false;\\n\\n let p_minus_1 = from_le_bits::<254>(p_minus_1_bits);\\n assert_eq(p_minus_1 + 1, 0);\\n\\n // checking that converting (modulus - 1) from and then to 254 BE bits produces the same bits\\n let p_minus_1_converted_bits: [bool; 254] = p_minus_1.to_le_bits();\\n assert_eq(p_minus_1_converted_bits, p_minus_1_bits);\\n\\n // checking that incrementing this bit produces 254 LE bits for (modulus + 4)\\n let mut p_plus_4_bits: [bool; 254] = modulus_le_bits().as_array();\\n assert(!p_plus_4_bits[2]);\\n p_plus_4_bits[2] = true;\\n\\n let p_plus_4 = from_le_bits::<254>(p_plus_4_bits);\\n assert_eq(p_plus_4, 4);\\n\\n // checking that converting p_plus_4 to 254 LE bits produces the same\\n // bit set to 1 as p_plus_4_bits and otherwise zeroes\\n let mut p_plus_4_converted_bits: [bool; 254] = p_plus_4.to_le_bits();\\n assert(p_plus_4_converted_bits[2]);\\n p_plus_4_converted_bits[2] = false;\\n assert_eq(p_plus_4_converted_bits, [false; 254]);\\n\\n // checking that Field::from_le_bits::<254> on the Field modulus produces 0\\n assert_eq(modulus_le_bits().len(), 254);\\n let p = from_le_bits::<254>(modulus_le_bits().as_array());\\n assert_eq(p, 0);\\n\\n // checking that converting 0 to 254 LE bits produces 254 false values\\n let p_bits: [bool; 254] = 0.to_le_bits();\\n assert_eq(p_bits, [false; 254]);\\n }\\n }\\n}\\n","path":"std/field/mod.nr","function_locations":[{"start":380,"name":"Field::assert_max_bit_size"},{"start":1196,"name":"Field::to_le_bits"},{"start":2387,"name":"Field::to_be_bits"},{"start":3562,"name":"Field::to_le_bytes"},{"start":5033,"name":"Field::to_be_bytes"},{"start":5904,"name":"Field::to_le_radix"},{"start":6362,"name":"Field::to_be_radix"},{"start":7053,"name":"Field::pow_32"},{"start":7455,"name":"Field::sgn0"},{"start":7538,"name":"Field::lt"},{"start":7918,"name":"Field::from_le_bytes"},{"start":8476,"name":"Field::from_be_bytes"},{"start":8757,"name":"__assert_max_bit_size"},{"start":8885,"name":"__to_le_radix"},{"start":9013,"name":"__to_be_radix"},{"start":9734,"name":"__to_le_bits"},{"start":10452,"name":"__to_be_bits"},{"start":10527,"name":"modulus_num_bits"},{"start":10603,"name":"modulus_be_bits"},{"start":10679,"name":"modulus_le_bits"},{"start":10755,"name":"modulus_be_bytes"},{"start":10831,"name":"modulus_le_bytes"},{"start":10992,"name":"__field_less_than"},{"start":11068,"name":"field_less_than"},{"start":11210,"name":"bytes32_to_field"},{"start":11617,"name":"lt_fallback"},{"start":12579,"name":"tests::test_to_be_bits"},{"start":12852,"name":"tests::test_to_le_bits"},{"start":13127,"name":"tests::test_to_be_bytes"},{"start":13433,"name":"tests::test_to_le_bytes"},{"start":13739,"name":"tests::test_to_be_radix"},{"start":14321,"name":"tests::test_to_le_radix"},{"start":14921,"name":"tests::test_to_le_radix_1"},{"start":15374,"name":"tests::test_to_le_radix_brillig_1"}
23,{"start":15728,"name":"tests::test_to_le_radix_3"},{"start":16039,"name":"tests::test_to_le_radix_brillig_3"},{"start":16467,"name":"tests::test_to_le_radix_512"},{"start":16876,"name":"tests::not_enough_limbs_brillig"},{"start":17072,"name":"tests::not_enough_limbs"},{"start":17214,"name":"tests::test_field_less_than"},{"start":17469,"name":"tests::test_large_field_values_unconstrained"},{"start":17922,"name":"tests::test_large_field_values"},{"start":18369,"name":"tests::test_decomposition_edge_cases"},{"start":18959,"name":"tests::test_pow_32"},{"start":19288,"name":"tests::test_sgn0"},{"start":19710,"name":"tests::test_bit_decomposition_overflow"},{"start":19992,"name":"tests::test_byte_decomposition_overflow"},{"start":20209,"name":"tests::test_to_from_be_bytes_bn254_edge_cases"},{"start":22160,"name":"tests::test_to_from_le_bytes_bn254_edge_cases"},{"start":24245,"name":"tests::from_le_bits"},{"start":24792,"name":"tests::from_be_bits"},{"start":25038,"name":"tests::test_to_from_be_bits_bn254_edge_cases"},{"start":26971,"name":"tests::test_to_from_le_bits_bn254_edge_cases"}]},"50":{"source":"use poseidon::poseidon::bn254;\\n\\n// Merkle tree depth. 16 = 65_536 commitments. Must match SovereignCredits.sol.\\nglobal DEPTH: u32 = 16;\\n\\n// Compute a binary Merkle root from a leaf and its sibling path.\\n// indices[i] = false -> current node is the LEFT child at level i\\n// indices[i] = true -> current node is the RIGHT child at level i\\nfn merkle_root(leaf: Field, siblings: [Field; DEPTH], indices: [bool; DEPTH]) -> Field {\\n let mut node = leaf;\\n for i in 0..DEPTH {\\n let (l, r) = if indices[i] { (siblings[i], node) } else { (node, siblings[i]) };\\n node = bn254::hash_2([l, r]);\\n }\\n node\\n}\\n\\n// Proves the caller:\\n// 1. Knows `secret` for a commitment in the deposit tree\\n// 2. The TREE LEAF binds `deposit_amount` to the USDC the contract\\n// actually escrowed (the contract recomputes the same leaf from the\\n// transferred amount), so `deposit_amount` cannot be inflated past\\n// the funded balance.\\n// 3. The budget implied by `ticket_index` and `c_max` fits `deposit_amount`\\n// 4. The nullifier is deterministic in (secret, ticket_index)\\n//\\n// `chain_id` and `message_hash` are unconstrained public inputs -- they have\\n// no in-circuit effect but are cryptographically bound to the proof by the\\n// proof system\'s public-input verification. The server passes its expected\\n// values when verifying; if a captured proof envelope is replayed against a\\n// different chain or substituted with a different request payload, the\\n// verifier rejects.\\n//\\n// `message_hash` closes the Tornado-style relayer-substitution attack: a\\n// captured proof can\'t be reused for a DIFFERENT request because the\\n// verifier checks the bound `message_hash` matches what the server hashed\\n// from the (messages, model, tier, temperature, top_p, image_gen) payload\\n// of the live request. Without this, the only thing tying a proof to a\\n// payload was the nullifier-store entry, which is too late -- the attacker\\n// can land FIRST with a fake payload, burn the victim\'s ticket, and the\\n// victim sees `double_spend` on their later submission.\\nfn main(\\n // public\\n nullifier: pub Field,\\n root: pub Field,\\n ticket_index: pub u64,\\n c_max: pub u64,\\n deposit_amount: pub u64,\\n chain_id: pub u64,\\n message_hash: pub Field,\\n // private\\n secret: Field,\\n siblings: [Field; DEPTH],\\n indices: [bool; DEPTH],\\n) {\\n // 1. Commitment binds secret to BOTH the deposit amount AND the earmarked\\n // c_max, so every spend from this deposit must use the same c_max.\\n // Cross-tier overspend C1 is closed: the leaf membership forces\\n // c_max == the committed value.\\n let inner = bn254::hash_2([secret, deposit_amount as Field]);
23\\n let commitment = bn254::hash_2([inner, c_max as Field]);\\n\\n // 1b. The TREE LEAF re-hashes the commitment with deposit_amount. The\\n // contract computes this exact leaf from the USDC it actually\\n // escrowed (leaf = poseidon([commitment, amount])), so proving\\n // membership of `leaf` forces deposit_amount == funded amount.\\n // Without this, deposit_amount was a free public input bound only\\n // to a self-chosen commitment -- a depositor could fund 1 USDC\\n // under a commitment encoding 1,000,000 and spend the larger budget.\\n let leaf = bn254::hash_2([commitment, deposit_amount as Field]);\\n\\n // 2. Nullifier is unique per (secret, ticket_index).\\n let computed_nullifier = bn254::hash_2([secret, ticket_index as Field]);\\n assert(computed_nullifier == nullifier);\\n\\n // 3. Merkle membership of the amount-bound leaf.\\n let computed_root = merkle_root(leaf, siblings, indices);\\n assert(computed_root == root);\\n\\n // 4. Solvency: (ticket_index + 1) * c_max <= deposit_amount.\\n let
23cost: u64 = (ticket_index + 1) * c_max;\\n assert(cost <= deposit_amount);\\n\\n // 5. Bind chain_id and message_hash so they can\'t be altered\\n // post-prove. No in-circuit constraint -- public-input binding\\n // is enforced by the verifier.\\n let _ = chain_id;\\n let _ = message_hash;\\n}\\n\\n// ---- tests ------------------------------------------------------------------\\n\\n#[test]\\nfn test_valid_first_ticket() {\\n let secret: Field = 42;\\n let deposit_amount: u64 = 10_000_000; // 10 USDC\\n let c_max: u64 = 20_000; // $0.02\\n let ticket_index: u64 = 0;\\n\\n let inner = bn254::hash_2([secret, deposit_amount as Field]);\\n let commitment = bn254::hash_2([inner, c_max as Field]);\\n let leaf = bn254::hash_2([commitment, deposit_amount as Field]);\\n let nullifier = bn254::hash_2([secret, ticket_index as Field]);\\n\\n let siblings: [Field; DEPTH] = [0; DEPTH];\\n let indices: [bool; DEPTH] = [false; DEPTH];\\n let root = merkle_root(leaf, siblings, indices);\\n\\n main(nullifier, root, ticket_index, c_max, deposit_amount, 84532, 0, secret, siblings, indices);\\n}\\n\\n#[test]\\nfn test_last_solvent_ticket() {\\n // 10 USDC / $0.02 = 500 tickets (indices 0..499)\\n let secret: Field = 42;\\n let deposit_amount: u64 = 10_000_000;
23\\n let c_max: u64 = 20_000;\\n let ticket_index: u64 = 499;\\n\\n let inner = bn254::hash_2([secret, deposit_amount as Field]);\\n let commitment = bn254::hash_2([inner, c_max as Field]);\\n let leaf = bn254::hash_2([commitment, deposit_amount as Field]);\\n let nullifier = bn254::hash_2([secret, ticket_index as Field]);\\n let siblings: [Field; DEPTH] = [0; DEPTH];\\n let indices: [bool; DEPTH] = [false; DEPTH];\\n let root = merkle_root(leaf, siblings, indices);\\n\\n main(nullifier, root, ticket_index, c_max, deposit_amount, 84532, 0, secret, siblings, indices);\\n}\\n\\n#[test(should_fail)]\\nfn test_insolvent_ticket_fails() {\\n // ticket 500 * $0.02 = $10.02 > 10 USDC -> fails\\n let secret: Field = 42;\\n let deposit_amount: u64 = 10_000_000;\\n let c_max: u64 = 20_000;\\n let ticket_index: u64 = 500;\\n\\n let inner = bn254::hash_2([secret, deposit_amount as Field]);\\n let commitment = bn254::hash_2([inner, c_max as Field]);\\n let leaf = bn254::hash_2([commitment, deposit_amount as Field]);\\n let nullifier = bn254::hash_2([secret, ticket_index as Field]);\\n let siblings: [Field; DEPTH] = [0; DEPTH];\\n let indices: [bool; DEPTH] = [false; DEPTH];\\n let root = merkle_root(leaf, siblings, indices);\\n\\n main(nullifier, root, ticket_index, c_max, deposit_amount, 84532, 0, secret, siblings, indices);\\n}\\n\\n#[test(should_fail)]\\nfn test_wrong_deposit_fails_membership() {\\n // C1 regression: the contract escrowed 10 USDC and built the leaf from\\n // that amount. The prover tries to claim 100 USDC. The circuit recomputes\\n // leaf = poseidon([poseidon([secret, 100]), 100]) which is NOT the leaf\\n // the contract inserted (built from 10), so membership fails. This is the\\n // exact \\"fund little, spend lots\\" attack -- it must not verify.\\n let secret: Field = 42;\\n let real_deposit: u64 = 10_000_000;
23\\n let claimed_deposit: u64 = 100_000_000;\\n let c_max: u64 = 20_000;\\n let ticket_index: u64 = 0;\\n\\n // Tree contains the leaf the contract actually built from the real deposit.\\n let inner = bn254::hash_2([secret, real_deposit as Field]);\\n let real_commitment = bn254::hash_2([inner, c_max as Field]);\\n let real_leaf = bn254::hash_2([real_commitment, real_deposit as Field]);\\n let nullifier = bn254::hash_2([secret, ticket_index as Field]);\\n let siblings: [Field; DEPTH] = [0; DEPTH];\\n let indices: [bool; DEPTH] = [false; DEPTH];\\n let root = merkle_root(real_leaf, siblings, indices);\\n\\n main(nullifier, root, ticket_index, c_max, claimed_deposit, 84532, 0, secret, siblings, indices);\\n}\\n\\n#[test(should_fail)]\\nfn test_wrong_nullifier_fails() {\\n let secret: Field = 42;\\n let deposit_amount: u64 = 10_000_000;\\n let c_max: u64 = 20_000;\\n let ticket_index: u64 = 0;\\n\\n let inner = bn254::hash_2([secret, deposit_amount as Field]);\\n let commitment = bn254::hash_2([inner, c_max as Field]);\\n let leaf = bn254::hash_2([commitment, deposit_amount as Field]);\\n let bad_nullifier: Field = 0xdeadbeef;\\n let siblings: [Field; DEPTH] = [0; DEPTH];\\n let indices: [bool; DEPTH] = [false; DEPTH];\\n let root = merkle_root(leaf, siblings, indices);\\n\\n main(bad_nullifier, root, ticket_index, c_max, deposit_amount, 84532, 0, secret, siblings, indices);\\n}\\n\\n#[test]\\nfn test_nullifiers_unique_per_ticket() {\\n let secret: Field = 99;\\n let n0 = bn254::hash_2([secret, 0 as Field]);\\n let n1 = bn254::hash_2([secret, 1 as Field]);\\n let n0_again = bn254::hash_2([secret, 0 as Field]);\\n assert(n0 != n1);\\n assert(n0 == n0_again);\\n}\\n\\n#[test(should_fail)]\\nfn test_wrong_cmax_fails_membership() {\\n // C1 regression: deposit earmarked at c_max=20_000. Spending at a DIFFERENT\\n // c_max=40_000 rebuilds a different commitment -> different leaf -> membership\\n // fails. This is the cross-tier overspend; it must not verify.\\n let secret: Field = 42;\\n let deposit_amount: u64 = 10_000_000;
23\\n let committed_cmax: u64 = 20_000;\\n let spend_cmax: u64 = 40_000;\\n let ticket_index: u64 = 0;\\n\\n let inner = bn254::hash_2([secret, deposit_amount as Field]);\\n let real_commitment = bn254::hash_2([inner, committed_cmax as Field]);\\n let real_leaf = bn254::hash_2([real_commitment, deposit_amount as Field]);\\n let nullifier = bn254::hash_2([secret, ticket_index as Field]);\\n let siblings: [Field; DEPTH] = [0; DEPTH];\\n let indices: [bool; DEPTH] = [false; DEPTH];\\n let root = merkle_root(real_leaf, siblings, indices);\\n\\n main(nullifier, root, ticket_index, spend_cmax, deposit_amount, 84532, 0, secret, siblings, indices);\\n}\\n","path":"/mnt/c/Users/fourm/Desktop/prxvtai/packages/circuits/src/main.nr","function_locations":[{"start":429,"name":"merkle_root"},{"start":2366,"name":"main"},{"start":4177,"name":"test_valid_first_ticket"},{"start":4900,"name":"test_last_solvent_ticket"},{"start":5661,"name":"test_insolvent_ticket_fails"},{"start":6430,"name":"test_wrong_deposit_fails_membership"},{"start":7654,"name":"test_wrong_nullifier_fails"},{"start":8331,"name":"test_nullifiers_unique_per_ticket"},{"start":8629,"name":"test_wrong_cmax_fails_membership"}]},"55":{"source":"// Instantiations of Poseidon permutation for the prime field of the same order as BN254\\nuse crate::poseidon::bn254::consts;\\nuse crate::poseidon::permute;\\n\\n#[field(bn254)]\\npub fn x5_2(mut state: [Field; 2]) -> [Field; 2] {\\n state = permute(consts::x5_2_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_3(mut state: [Field; 3]) -> [Field; 3] {\\n state = permute(consts::x5_3_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_4(mut state: [Field; 4]) -> [Field; 4] {\\n state = permute(consts::x5_4_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_5(mut state: [Field; 5]) -> [Field; 5] {\\n state = permute(consts::x5_5_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_6(mut state: [Field; 6]) -> [Field; 6] {\\n state = permute(consts::x5_6_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_7(mut state: [Field; 7]) -> [Field; 7] {\\n state = permute(consts::x5_7_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_8(mut state: [Field; 8]) -> [Field; 8] {\\n state = permute(consts::x5_8_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_9(mut state: [Field; 9]) -> [Field; 9] {\\n state = permute(consts::x5_9_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_10(mut state: [Field; 10]) -> [Field; 10] {\\n state = permute(consts::x5_10_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_11(mut state: [Field; 11]) -> [Field; 11] {\\n state = permute(consts::x5_11_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_12(mut state: [Field; 12]) -> [Field; 12] {\\n state = permute(consts::x5_12_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_13(mut state: [Field; 13]) -> [Field; 13] {\\n state = permute(consts::x5_13_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_14(mut state: [Field; 14]) -> [Field; 14] {\\n state = permute(consts::x5_14_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_15(mut state: [Field; 15]) -> [Field; 15] {\\n state = permute(consts::x5_15_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_16(mut state: [Field; 16]) -> [Field; 16] {\\n state = permute(consts::x5_16_config(), state);\\n\\n state\\n}\\n\\n#[field(bn254)]\\npub fn x5_17(mut state: [Field; 17]) -> [Field; 17] {\\n state = permute(consts::x5_17_config(), state);\\n\\n state\\n}\\n","path":"/home/myuser/nargo/github.com/noir-lang/poseidon/v0.3.0/src/poseidon/bn254/perm.nr","function_locations":[{"start":221,"name":"x5_2"},{"start":353,"name":"x5_3"},{"start":485,"name":"x5_4"},{"start":617,"name":"x5_5"},{"start":749,"name":"x5_6"},{"start":881,"name":"x5_7"},{"start":1013,"name":"x5_8"},{"start":1145,"name":"x5_9"},{"start":1280,"name":"x5_10"},{"start":1416,"name":"x5_11"},{"start":1552,"name":"x5_12"},{"start":1688,"name":"x5_13"},{"start":1824,"name":"x5_14"},{"start":1960,"name":"x5_15"},{"start":2096,"name":"x5_16"},{"start":2232,"name":"x5_17"}]},"56":{"source":"// Instantiations of Poseidon constants, permutations and sponge for prime field of the same order as BN254\\npub mod perm;\\npub mod consts;\\n\\nuse crate::poseidon::absorb;\\n\\n// Variable-length Poseidon-128 sponge as suggested in second bullet point of section 3 of https://eprint.iacr.org/2019/458.pdf\\n#[field(bn254)]\\npub fn sponge<let N: u32>(msg: [Field; N]) -> Field {\\n absorb(consts::x5_5_config(), [0; 5], 4, 1, msg)[1]\\n}\\n\\n// Creates state array with input at positions [1..N+1], then applies permutation\\nfn hash_internal<let N: u32, let STATE_
23SIZE: u32>(\\n input: [Field; N],\\n perm_fn: fn([Field; STATE_SIZE]) -> [Field; STATE_SIZE],\\n) -> Field {\\n let mut state = [0; STATE_SIZE];\\n for i in 0..N {\\n state[i + 1] = input[i];\\n }\\n perm_fn(state)[0]\\n}\\n\\n// Various instances of the Poseidon hash function\\n// Consistent with Circom\'s implementation\\n#[no_predicates]\\npub fn hash_1(input: [Field; 1]) -> Field {\\n hash_internal(input, perm::x5_2)\\n}\\n\\n#[no_predicates]\\npub fn hash_2(input: [Field; 2]) -> Field {\\n hash_internal(input, perm::x5_3)\\n}\\n\\n#[no_predicates]\\npub fn hash_3(input: [Field; 3]) -> Field {\\n hash_internal(input, perm::x5_4)\\n}\\n\\n#[no_predicates]\\npub fn hash_4(input: [Field; 4]) -> Field {\\n hash_internal(input, perm::x5_5)\\n}\\n\\n#[no_predicates]\\npub fn hash_5(input: [Field; 5]) -> Field {\\n hash_internal(input, perm::x5_6)\\n}\\n\\n#[no_predicates]\\npub fn hash_6(input: [Field; 6]) -> Field {\\n hash_internal(input, perm::x5_7)\\n}\\n\\n#[no_predicates]\\npub fn hash_7(input: [Field; 7]) -> Field {\\n hash_internal(input, perm::x5_8)\\n}\\n\\n#[no_predicates]\\npub fn hash_8(input: [Field; 8]) -> Field {\\n hash_internal(input, perm::x5_9)\\n}\\n\\n#[no_predicates]\\npub fn hash_9(input: [Field; 9]) -> Field {\\n hash_internal(input, perm::x5_10)\\n}\\n\\n#[no_predicates]\\npub fn hash_10(input: [Field; 10]) -> Field {\\n hash_internal(input, perm::x5_11)\\n}\\n\\n#[no_predicates]\\npub fn hash_11(input: [Field; 11]) -> Field {\\n hash_internal(input, perm::x5_12)\\n}\\n\\n#[no_predicates]\\npub fn hash_12(input: [Field; 12]) -> Field {\\n hash_internal(input, perm::x5_13)\\n}\\n\\n#[no_predicates]\\npub fn hash_13(input: [Field; 13]) -> Field {\\n hash_internal(input, perm::x5_14)\\n}\\n\\n#[no_predicates]\\npub fn hash_14(input: [Field; 14]) -> Field {\\n hash_internal(input, perm::x5_15)\\n}\\n\\n#[no_predicates]\\npub fn hash_15(input: [Field; 15]) -> Field {\\n hash_internal(input, perm::x5_16)\\n}\\n\\n#[no_predicates]\\npub fn hash_16(input: [Field; 16]) -> Field {\\n hash_internal(input, perm::x5_17)\\n}\\n","path":"/home/myuser/nargo/github.com/noir-lang/poseidon/v0.3.0/src/poseidon/bn254.nr","function_locations":[{"start":365,"name":"sponge"},{"start":654,"name":"hash_internal"},{"start":930,"name":"hash_1"},{"start":1031,"name":"hash_2"},{"start":1132,"name":"hash_3"},{"start":1233,"name":"hash_4"},{"start":1334,"name":"hash_5"},{"start":1435,"name":"hash_6"},{"start":1536,"name":"hash_7"},{"start":1637,"name":"hash_8"},{"start":1738,"name":"hash_9"},{"start":1842,"name":"hash_10"},{"start":1946,"name":"hash_11"},{"start":2050,"name":"hash_12"},{"start":2154,"name":"hash_13"},{"start":2258,"name":"hash_14"},{"start":2362,"name":"hash_15"},{"start":2466,"name":"hash_16"}]},"57":{"source":"pub mod bn254; // Instantiations of Poseidon for prime field of the same order as BN254\\nuse std::default::Default;\\nuse std::hash::Hasher;\\n\\n// A config struct defining the parameters of the Poseidon instance to use.\\n//\\n// A thorough writeup of this method (along with an unoptimized method) can be found at: https://spec.filecoin.io/algorithms/crypto/poseidon/\\npub struct PoseidonConfig<let T: u32, let N: u32, let X: u32> {\\n // State width, should be equal to `T`\\n t: Field,\\n // Number of full rounds. should be even\\n rf: u8,\\n // Number of partial rounds\\n rp: u8,\\n // S-box power; depends on the underlying field\\n alpha: Field,\\n // The round constants for the\\n round_constants: [Field; N],\\n // The MDS matrix for the Poseidon instance\\n mds: [[Field; T]; T],\\n // An MDS matrix which also applies a basis transformation which allows\\n // sparse matrices to be used for the partial rounds.\\n //\\n // This should be applied instead of `mds` in the final full round.\\n presparse_mds: [[Field; T]; T],\\n // A set of sparse matrices used for MDS mixing for the partial rounds.\\n sparse_mds: [Field; X],\\n}\\n\\npub fn config<let T: u32, let N: u32, let X: u32>
23(\\n t: Field,\\n rf: u8,\\n rp: u8,\\n alpha: Field,\\n round_constants: [Field; N],\\n mds: [[Field; T]; T],\\n presparse_mds: [[Field; T]; T],\\n sparse_mds: [Field; X],\\n) -> PoseidonConfig<T, N, X> {\\n // Input checks\\n assert_eq(rf & 1, 0);\\n assert_eq((t as u8) * rf + rp, N as u8);\\n assert_eq(t, T as Field);\\n assert(alpha != 0);\\n\\n PoseidonConfig { t, rf, rp, alpha, round_constants, mds, presparse_mds, sparse_mds }\\n}\\n\\npub fn permute<let T: u32, let N: u32, let X: u32>(\\n pos_conf: PoseidonConfig<T, N, X>,\\n mut state: [Field; T],\\n) -> [Field; T] {\\n let PoseidonConfig { t, rf, rp, alpha, round_constants, mds, presparse_mds, sparse_mds } =\\n pos_conf;\\n for i in 0..state.len() {\\n state[i] += round_constants[i];\\n }\\n\\n for _r in 0..rf / 2 - 1 {\\n state = sigma(state);\\n for i in 0..T {\\n state[i] += round_constants[T * (_r + 1) as u32 + i];\\n }\\n state = apply_matrix(mds, state);\\n }\\n\\n state = sigma(state);\\n for i in 0..T {\\n state[i] += round_constants[T * (rf / 2) as u32 + i];\\n }\\n state = apply_matrix(presparse_mds, state);\\n\\n for i in 0..T {\\n std::as_witness(state[i]);\\n }\\n\\n for _r in 0..rp {\\n state[0] = state[0].pow_32(alpha);\\n state[0] += round_constants[(rf / 2 + 1) as u32 * T + _r as u32];\\n std::as_witness(state[0]);\\n {\\n let mut newState0 = 0;\\n for j in 0..T {\\n newState0 += sparse_mds[(T * 2 - 1) * _r as u32 + j as u32] * state[j];\\n }\\n for k in 1..T {\\n state[k] += state[0] * sparse_mds[(t * 2 - 1) as u32 * _r as u32 + T + k - 1];\\n }\\n state[0] = newState0;\\n\\n if (_r & 1 == 0) {\\n for k in 1..T {\\n std::as_witness(state[k]);\\n }\\n }\\n }\\n }\\n\\n for _r in 0..rf / 2 - 1 {\\n state = sigma(state);\\n for i in 0..state.len() {\\n state[i] += round_constants[(rf / 2 + 1) as u32 * T + rp as u32 + (_r as u32) * T + i];\\n }\\n state = apply_matrix(mds, state);\\n }\\n\\n state = sigma(state);\\n state = apply_matrix(mds, state);\\n state\\n}\\n\\n// Performs matrix multiplication on a vector\\nfn apply_matrix<let N: u32>(matrix: [[Field; N]; N], vec: [Field; N]) -> [Field; N] {\\n let mut out = [0; N];\\n\\n for i in 0..N {\\n for j in 0..N {\\n out[i] += vec[j] * matrix[j][i];\\n }\\n }\\n\\n out\\n}\\n\\n// Corresponding absorption.\\nfn absorb<let T: u32, let N: u32, let X: u32, let O: u32>(\\n pos_conf: PoseidonConfig<T, N, X>,\\n // Initial state; usually [0; O]\\n mut state: [Field; T],\\n rate: u32,\\n capacity: u32,\\n msg: [Field; O], // Arbitrary length message\\n) -> [Field; T] {\\n assert_eq(pos_conf.t, (rate + capacity) as Field);\\n\\n let mut i = 0;\\n\\n for k in 0..msg.len() {\\n // Add current block to state\\n state[capacity + i] += msg[k];\\n i = i + 1;\\n // Enough to absorb\\n if i == rate {\\n state = permute(pos_conf, state);\\n i = 0;\\n }\\n }\\n // If we have one more block to permute\\n if i != 0 {\\n state = permute(pos_conf, state);\\n }\\n\\n state\\n}\\n\\nfn sigma<let O: u32>(x: [Field; O]) -> [Field; O] {\\n let mut y = x;\\n for i in 0..O {\\n let t = y[i];\\n let tt = t * t;\\n let tttt = tt * tt;\\n y[i] *= tttt;\\n }\\n y\\n}\\n\\npub struct PoseidonHasher {\\n _state: [Field],\\n}\\n\\nimpl Hasher for PoseidonHasher {\\n #[field(bn254)]\\n fn finish(self) -> Field {\\n let mut result = 0;\\n let len = self._state.len();\\n assert(len < 16);\\n if len == 1 {\\n result = bn254::hash_1([self._state[0]]);\\n }\\n if len == 2 {\\n result = bn254::hash_2([self._state[0], self._state[1]]);\\n }\\n if len == 3 {\\n result = bn254::hash_3([self._state[0], self._state[1], self._state[2]]);\\n }\\n if len == 4 {\\n result = bn254::hash_4([self._state[0], self._state[1], self._state[2], self._state[3]]);\\n }\\n if len == 5 {\\n result = bn254::hash_5([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n ]);\\n }\\n if len == 6 {\\n result = bn254::hash_6([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n self._state[5],\\n ]);\\n }\\n if len == 7 {\\n result = bn254::hash_7([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n self._state[5],\\n self._state[6],\\n ]);\\n }\\n if len == 8 {\\n result = bn254::hash_8([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n self._state[5],\\n self._state[6],\\n self._state[7],\\n ]);\\n }\\n if len == 9 {\\n result = bn254::hash_9([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n self._state[5],\\n self._state[6],\\n self._state[7],\\n self._state[8],\\n ]);\\n }\\n if len == 10 {\\n result = bn254::hash_10([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n self._state[5],\\n self._state[6],\\n self._state[7],\\n self._state[8],\\n self._state[9],\\n ]);\\n }\\n if len == 11 {\\n result = bn254::hash_11([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n self._state[5],\\n self._state[6],\\n self._state[7],\\n self._state[8],\\n self._state[9],\\n self._state[10],\\n ]);\\n }\\n if len == 12 {\\n result = bn254::hash_12([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n self._state[5],\\n self._state[6],\\n self._state[7],\\n self._state[8],\\n self._state[9],\\n self._state[10],\\n self._state[11],\\n ]);\\n }\\n if len == 13 {\\n result = bn254::hash_13([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n self._state[5],\\n self._state[6],\\n self._state[7],\\n self._state[8],\\n self._state[9],\\n self._state[10],\\n self._state[11],\\n self._state[12],\\n ]);\\n }\\n if len == 14 {\\n result = bn254::hash_14([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n self._state[5],\\n self._state[6],\\n self._state[7],\\n self._state[8],\\n self._state[9],\\n self._state[10],\\n self._state[11],\\n self._state[12],\\n self._state[13],\\n ]);\\n }\\n if len == 15 {\\n result = bn254::hash_15([\\n self._state[0],\\n self._state[1],\\n self._state[2],\\n self._state[3],\\n self._state[4],\\n self._state[5],\\n self._state[6],\\n self._state[7],\\n self._state[8],\\n self._state[9],\\n self._state[10],\\n self._state[11],\\n self._state[12],\\n self._state[13],\\n self._state[14],\\n ]);\\n }\\n\\n result\\n }
23\\n\\n #[inline_always]\\n fn write(&mut self, input: Field) {\\n self._state = self._state.push_back(input);\\n }\\n}\\n\\nimpl Default for PoseidonHasher {\\n fn default() -> Self {\\n PoseidonHasher { _state: @[] }\\n }\\n}\\n","path":"/home/myuser/nargo/github.com/noir-lang/poseidon/v0.3.0/src/poseidon/mod.nr","function_locations":[{"start":1409,"name":"config"},{"start":1783,"name":"permute"},{"start":3549,"name":"apply_matrix"},{"start":3985,"name":"absorb"},{"start":4491,"name":"sigma"},{"start":4777,"name":"<impl Hasher for PoseidonHasher>::finish"},{"start":9874,"name":"<impl Hasher for PoseidonHasher>::write"},{"start":9996,"name":"<impl Default for PoseidonHasher>::default"}]}}}'),depth:16}},78036:(e,t,n)=>{n.d(t,{$c:()=>g,Pt:()=>c,S3:()=>u,Vt:()=>d,WD:()=>Q,do:()=>f,eX:()=>p,s0:()=>I,wG:()=>m,zA:()=>h});let i="prxvt.basemcp.client.v1",s="prxvt.basemcp.token.v1",r="prxvt.basemcp.pkce.v1";function a(e,t){if(!e)return null;try{let n=e.getItem(t);return n?JSON.parse(n):null}catch{return null}}function o(e,t,n){try{e?.setItem(t,JSON.stringify(n))}catch{}}function l(e,t){try{e?.removeItem(t)}catch{}}let d=()=>a(window.localStorage,i),h=e=>o(window.localStorage,i,e),c=()=>a(window.localStorage,s),f=e=>o(window.localStorage,s,e),u=()=>l(window.localStorage,s),Q=()=>a(window.sessionStorage,r),p=e=>o(window.sessionStorage,r,e),g=()=>l(window.sessionStorage,r);function I(){let e=c();return!!e&&(!!e.refreshToken||e.expiresAt>Date.now())}function m(){u()}},81755:(e,t,n)=>{n.d(t,{H:()=>l,redactOutgoing:()=>c,rehydrate:()=>f,z:()=>o});var i=n(40832),s=n(74046),r=n(60660);let a=async e=>{let t=(0,s.v7)(e),n=await (0,r.jT)(e),i=[...t];for(let e of n)i.some(t=>e.start<t.end&&t.start<e.end)||i.push(e);return i};function o(e){return e.split(/\s+/).map(e=>e.replace(/[^\p{L}'â-]/gu,"").toLowerCase()).filter(e=>e.length>=2)}function l(e,t){for(let n of e)if(!t.has(n))return!1;return!0}let d=new Set(["will","mark","rose","hope","grace","faith","joy","drew","jack","frank","mason","daisy","ivy","summer","april","june","dawn","art","bill","rich","victor","sky","major","miles","page"]);function h(e,t){let n=(0,i.CJ)(e);if(0===t.entries.length)return n;let s=new Map,r=new Set,a=(e,t)=>{let n=(0,i.tA)(e);if(!n||r.has(n))return;let a=s.get(n);if(a&&a!==t){r.add(n),s.delete(n);return}s.set(n,t)};for(let e of t.entries)if(a(e.value,e.token),"PERSON"===e.type)for(let t of o(e.value).filter(e=>e.length>=4&&!d.has(e)))a(t,e.token);if(0===s.size)return n;let l=RegExp([...s.keys()].sort((e,t)=>t.length-e.length).map(e=>e.replace(/[.*+?^${}()|[\]\\]/g,"\\$&")).join("|"),"gi");return n.replace(l,e=>s.get((0,i.tA)(e))??e)}async function c(e,t,n){let s=n.detect??a,r=t.entries.length;for(let e of n.newText)for(let n of(await s(e)))!function(e,t,n){let s=(0,i.tA)(t);if(e.ignore.includes(s))return;let r=e.entries.find(e=>(0,i.tA)(e.value)===s);if(r)return r.token;if("PERSON"===n){let n=new Set(o(t));if(n.size>0){let i=e.entries.filter(e=>{if("PERSON"!==e.type)return!1;let t=new Set(o(e.value));return t.size>0&&(l(n,t)||l(t,n))});if(1===i.length){let e=i[0];return o(t).length>o(e.value).length&&(e.value=t),e.token}}}let a=(e.counters[n]??0)+1;e.counters[n]=a;let d=(0,i.uC)(n,a);e.entries.push({token:d,value:t,type:n})}(t,n.value,n.type);let d=e.map(e=>{var n;return{...e,content:(n=e.content,"string"==typeof n?h(n,t):n.map(e=>"text"===e.type?{...e,text:h(e.text,t)}:e))}}),c=new Set;for(let e of d)for(let t of"string"==typeof e.content?[e.content]:e.content.filter(e=>"text"===e.type).map(e=>e.text))for(let e of t.match(i.os)??[])c.add(e);return{messages:d,vault:t,newCount:t.entries.length-r,usedTokens:c}}function f(e,t,n){let s=new Map(t.entries.map(e=>[e.token,e.value]));return e.replace(i.os,e=>n&&!n.has(e)?e:s.get(e)??e)}},88570:(e,t,n)=>{n.d(t,{D:()=>z});var i=n(23292),s=n(97584),r=n(31871),a=n.n(r),o=n(77501),l=n(50894),d=n(33132),h=n(20608),c=n(32635),f=n(52398),u=n(47810),Q=n(59836),p=n(83537);let g=["video","videos","clip","clips","animation","animations","gif","gifs","movie","film","footage","reel"],I=[...g,"image","images","picture","pictures","photo","photos","photograph","logo","logos","illustration","illustrations","drawing","drawings","artwork","wallpaper","avatar","icon","poster","sticker","painting","portrait","headshot","mockup","thumbnail"].join("|"),m=RegExp(`\\b(?:make|create|generate|draw|render|design|produce|paint|sketch|illustrate|animate|imagine)\\b[\\s\\w,'-]{0,40}?\\b(${I})\\b`,"i"),E=new Set(g);var C=n(86080),b=n(78036),v=n(32690),k=n(60519),x=n(60412),y=n(77676),K=n(15801),F=n(1241),V=n(17531);let U=["image/jpeg","image/png","image/webp","image/gif"];function S(e){return U.includes(e.type)}async function B(e){var t;if(!S(e))throw Error(`Unsupported image type: ${e.type||"unknown"}`);let n=await q(e);return{id:crypto.randomUUID(),dataUrl:n,size:(t=Math.floor(3*(n.split(",")[1]??"").length/4))<1024?`${t} B`:t<1048576?`${(t/1024).toFixed(1)} KB`:`${(t/1024/1024).toFixed(1)} MB`,mime:e.type}}async function q(e){let t=await createImageBitmap(e).catch(async()=>{var t;let n=await A(e);
23return await (t=n,new Promise((e,n)=>{let i=new Image;i.onload=()=>e(i),i.onerror=n,i.src=t}))}),{width:n,height:i}=t;if(n<=1568&&i<=1568&&e.size<12e5)return t.close?.(),A(e);let s=Math.min(1,1568/Math.max(n,i)),r=Math.round(n*s),a=Math.round(i*s),o=document.createElement("canvas");o.width=r,o.height=a;let l=o.getContext("2d");if(!l)return t.close?.(),A(e);l.drawImage(t,0,0,r,a),t.close?.();let d="image/png"===e.type?"image/png":"image/jpeg";return o.toDataURL(d,"image/jpeg"===d?.85:void 0)}function A(e){return new Promise((t,n)=>{let i=new FileReader;i.onload=()=>t(i.result),i.onerror=()=>n(i.error),i.readAsDataURL(e)})}var H=n(45091),R=n(15621),D=n(89992);let J=".pdf,.docx,.txt,.md,.log,.csv,.json,application/pdf,text/plain,text/markdown,application/json,application/vnd.openxmlformats-officedocument.wordprocessingml.document";function N({conversationId:e,ensureConversationId:t,onIngested:n,onImageFiles:r,allowImages:a,disabled:l}){let d=(0,s.useRef)(null),[h,c]=(0,s.useState)(null);async function f(i){if(S(i))return void(a&&r?r([i]):K.o.error("Images arenât supported here"));let s=e;if(!s){if(!t)return void K.o.error("Could not attach this document. Start a chat first.");else if(!(s=await t()))return}c({stage:"parsing",fraction:0});try{let e=await (0,D.IR)(i,{conversationId:s,onProgress:e=>c(e)}),t=e.wordCount>=1e3?`${Math.round(e.wordCount/1e3)}k words`:`${e.wordCount} words`;K.o.success(`${e.name} \xb7 ${t}`,"Stays attached to this chat until you remove it (X on the chip)."),n()}catch(e){K.o.error("Import failed",e instanceof Error?e.message:String(e))}finally{c(null)}}let u=null!==h;return(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)("input",{ref:d,type:"file",accept:a&&r?`${J},image/jpeg,image/png,image/webp,image/gif`:J,className:"hidden",onChange:e=>{let t=e.target.files?.[0];t&&f(t),e.target.value=""}}),(0,i.jsx)("button",{type:"button",onClick:()=>d.current?.click(),disabled:l||u,title:a&&r?"Attach a file or image (PDF, DOCX, TXT, MD, PNG, JPG). Stays on-device.":"Attach document (PDF, DOCX, TXT, MD). Embedded locally.",className:"inline-flex h-8 w-8 items-center justify-center rounded-md text-ink-400 transition-colors hover:bg-ink-100 hover:text-ink-900 disabled:opacity-50 dark:hover:bg-ink-800 dark:hover:text-ink-100",children:u?(0,i.jsx)(o.A,{className:"h-4 w-4 animate-spin"}):(0,i.jsx)(H.A,{className:"h-4 w-4"})}),h&&(0,i.jsx)(w,{progress:h})]})}function w({progress:e}){let t=(()=>{switch(e.stage){case"parsing":return"Parsing documentâ¦";case"chunking":return"Splitting into sectionsâ¦";case"embedding":return`Indexing for retrieval (${e.embedded??0}/${e.total??"?"})â¦`;case"persisting":return"Encrypting + savingâ¦";case"done":return"Done.";default:return"Workingâ¦"}})();return(0,i.jsx)("div",{className:"pointer-events-none fixed inset-x-0 bottom-20 z-40 flex justify-center",children:(0,i.jsxs)("div",{className:"card pointer-events-auto flex items-center gap-3 p-3 text-xs shadow-[var(--shadow-md)]",children:[(0,i.jsx)(R.A,{className:"h-4 w-4 text-ink-900 dark:text-ink-100"}),(0,i.jsxs)("div",{className:"flex flex-col",children:[(0,i.jsx)("span",{className:"font-medium",children:t}),(0,i.jsx)("div",{className:"mt-1 h-1 w-48 overflow-hidden rounded-full bg-ink-200/60 dark:bg-ink-800/60",children:(0,i.jsx)("div",{className:"h-full rounded-full bg-ink-900 transition-[width] dark:bg-ink-100",style:{width:`${Math.max(2,100*e.fraction)}%`}})})]})]})})}var O=n(20228),Y=n(85047);let X={minimal:"Barely thinks. Fastest and cheapest.",low:"A quick pass. Good for simple asks.",medium:"Balanced thinking.",high:"Thinks hard. Slower, costs more."},T={minimal:"Minimal",low:"Low",medium:"Medium",high:"High"};function j({disabled:e}){let t=(0,x.t)(e=>e.model),n=(0,x.t)(e=>e.reasoningEffort),r=(0,x.t)(e=>e.setReasoningEffort),[a,o]=(0,s.useState)(!1),l=(0,s.useRef)(null);(0,s.useEffect)(()=>{if(a)return document.addEventListener("mousedown",e),document.addEventListener("keydown",t),()=>{document.removeEventListener("mousedown",e),document.removeEventListener("keydown",t)};function e(e){l.current?.contains(e.target)||o(!1)}function t(e){"Escape"===e.key&&o(!1)}},[a]);let d=(0,Y.WA)(t);if(!d)return null;let h=null!==n;return(0,i.jsxs)("div",{ref:l,className:"relative",children:[(0,i.jsxs)("button",{type:"button",onClick:()=>o(e=>!e),disabled:e,"aria-haspopup":"menu","aria-expanded":a,"aria-label":h?`Reasoning effort: ${T[n]}`:"Reasoning effort: model default",title:"How hard the model should think before answering",className:(0,V.cn)("flex h-10 items-center gap-1.5 rounded-md text-sm transition-colors","disabled:pointer-events-none disabled:opacity-40","w-10 justify-center md:h-8 md:w-auto md:px-2.5",h?"bg-ink-900 text-ink-50 dark:bg-ink-100 dark:text-ink-900":"text-ink-400 hover:bg-ink-100 hover:text-ink-700 dark:hover:bg-ink-800 dark:hover:text-ink-200"),children:[(0,i.jsx)(O.A,{className:"h-4 w-4"}),(0,i.jsx)("span",{className:"hidden text-xs font-medium md:inline",children:h?T[n]:"Effort"})]}),a&&(0,i.jsxs)("div",{role:"menu",className:"absolute bottom-full right-0 z-30 mb-1.5 w-[min(15rem,calc(100vw-2rem))] overflow-hidden rounded-lg border border-ink-200 bg-[var(--bg-raised)] py-1 shadow-[var(--shadow-md)] dark:border-ink-700",children:[(0,i.jsx)(W,{label:"Model default",blurb:"Let the model decide.",selected:null===n,onSelect:()=>{r(null),o(!1)}}),d.levels.map(e=>(0,i.jsx)(W,{label:T[e],blurb:X[e],selected:n===e,onSelect:()=>{r(e),o(!1)}},e))]})]})}function W({label:e,blurb:t,selected:n,onSelect:s}){return(0,i.jsxs)("button",{type:"button",role:"menuitemradio","aria-checked":n,onClick:s,className:(0,V.cn)("flex w-full flex-col items-start gap-0.5 px-3 py-2 text-left transition-colors",n?"bg-ink-100 dark:bg-ink-800":"hover:bg-ink-50 dark:hover:bg-ink-800/60"),children:[(0,i.jsx)("span",{className:"text-xs font-medium text-ink-900 dark:text-ink-100",children:e}),(0,i.jsx)("span",{className:"text-[11px] leading-snug text-ink-500 dark:text-ink-400",children:t})]})}var P=n(81113),G=n(60660),L=n(38114);function z({disabled:e,onSend:t,initialText:r,conversationId:g,ensureConversationId:I,onDocumentIngested:U,onchainAllowed:q=!0,docsVersion:A}
23){let[H,R]=(0,s.useState)(r??""),[D,J]=(0,s.useState)([]),[w,O]=(0,s.useState)(!1),[Y,X]=(0,s.useState)(!1),[T,W]=(0,s.useState)(""),[Z,M]=(0,s.useState)(!1),_=(0,s.useRef)(null),$=(0,k.Y)(e=>e.streaming),ee=(0,k.Y)(e=>e.abortStreaming),et=(0,x.t)(e=>e.offlineMode),en=(0,x.t)(e=>e.agentMode),ei=(0,x.t)(e=>e.setAgentMode),es=(0,x.t)(e=>e.redactionEnabled),er=(0,x.t)(e=>e.setRedactionEnabled),ea=(0,x.t)(e=>e.onchainMode),eo=(0,x.t)(e=>e.setOnchainMode),el=(0,C.zM)()&&!et,ed=el&&!1===q,[eh,ec]=(0,s.useState)(!1);(0,s.useEffect)(()=>{if(!el)return;let e=()=>ec((0,b.s0)());return e(),window.addEventListener("focus",e),()=>window.removeEventListener("focus",e)},[el,ea]),(0,s.useEffect)(()=>{ea&&(!el||ed)&&eo(!1)},[ea,el,ed,eo]),(0,s.useEffect)(()=>{es&&(0,G.RU)()},[es]);let[ef,eu]=(0,s.useState)(null);(0,s.useEffect)(()=>{if(et)return void eu(null);let e=window.setTimeout(()=>eu(function(e){if(!e||e.trim().length<4)return null;let t=m.exec(e),n=t?.[1];return n?E.has(n.toLowerCase())?"video":"image":null}(H)),350);return()=>window.clearTimeout(e)},[H,et]);
23let[eQ,ep]=(0,s.useState)(null),[eg,eI]=(0,s.useState)({status:"idle",items:[],nameError:null}),[em,eE]=(0,s.useState)(!1);(0,s.useEffect)(()=>{if(!es||!H.trim())return void ep(null);let e=!1,t=window.setTimeout(async()=>{try{let{scanForPii:t}=await Promise.resolve().then(n.bind(n,38114)),i=await t(H);e||ep(i)}catch(t){e||ep({items:[],nameError:t instanceof Error?t.message:String(t)})}},600);return()=>{e=!0,window.clearTimeout(t)}},[H,es]),(0,s.useEffect)(()=>{if(!es||!g)return void eI({status:"idle",items:[],nameError:null});let e=!1;return(async()=>{let t="";try{let{getDocumentContext:e}=await Promise.resolve().then(n.bind(n,64e3));t=(await e(g,{maxWords:8e3})).map(e=>e.text).join("\n\n")}catch{}if(!t.trim()){e||eI({status:"idle",items:[],nameError:null});return}e||eI({status:"scanning",items:[],nameError:null});try{let{scanForPii:i}=await Promise.resolve().then(n.bind(n,38114)),s=await i(t);e||eI({status:"done",items:s.items,nameError:s.nameError})}catch(t){e||eI({status:"done",items:[],nameError:t instanceof Error?t.message:String(t)})}})(),()=>{e=!0}},[g,es,A]);let eC=(0,s.useMemo)(()=>{let e=new Map;for(let t of[eQ?.items,eg.items])for(let n of t??[])e.set(n.type+":"+n.value.toLowerCase(),n);return(0,L.r)([...e.values()])},[eQ,eg]),eb="scanning"===eg.status,ev=eQ?.nameError??eg.nameError??null,ek=es&&!$&&(eC.length>0||eb||null!==ev&&(H.trim().length>0||"idle"!==eg.status));async function ex(e){let t=Array.from(e).filter(S);if(0===t.length)return;let n=4-D.length;if(n<=0)return void K.o.error("Max 4 images per message");let i=t.slice(0,n),s=await Promise.all(i.map(e=>B(e).catch(e=>(K.o.error("Image failed",(0,p.A)(e)),null))));J(e=>[...e,...s.filter(e=>null!==e)])}async function ey(n){n?.preventDefault();let i=H.trim();if((i||0!==D.length)&&!w&&!e&&!$){O(!0);try{let e=D.length>0?function(e,t){let n=[];for(let i of(e&&n.push({type:"text",text:e}),t))n.push({type:"image_url",image_url:{url:i.dataUrl}});return n}(i,D):i;if(i.length>0){W(i),X(!0);let e=(0,P.PN)(i);await (0,P._b)(i,e,W,{duration:380}).done,await new Promise(e=>setTimeout(e,90))}R(""),J([]),_.current&&(_.current.style.height="auto"),X(!1),W(""),await t(e)}finally{O(!1)}}}async function eK(e){let t=e.clipboardData?.items;if(!t)return;let n=[];for(let e of t)if("file"===e.kind){let t=e.getAsFile();t&&S(t)&&n.push(t)}n.length>0&&(e.preventDefault(),await ex(n))}async function eF(t){if(t.preventDefault(),M(!1),$||e)return;let n=t.dataTransfer?.files;n&&await ex(n)}(0,s.useEffect)(()=>{$||window.matchMedia("(hover: hover)").matches&&_.current?.focus()},[$]),(0,F.wk)("k",e=>{e.preventDefault(),_.current?.focus()},{meta:!0,allowInEditable:!0});let eV=!w&&!e&&!$&&(H.trim().length>0||D.length>0);return(0,i.jsxs)("form",{onSubmit:ey,className:"mx-auto w-full max-w-3xl px-3 pb-[max(env(safe-area-inset-bottom),1rem)] md:px-4",children:[ek&&(0,i.jsxs)("div",{className:"mb-2 text-xs",children:[(0,i.jsx)("button",{type:"button",onClick:()=>eE(e=>!e),className:(0,V.cn)("inline-flex items-center gap-1.5 rounded-md border px-2 py-1 transition-colors","border-ink-200 bg-[var(--bg-raised)] hover:bg-ink-50 dark:border-ink-700 dark:hover:bg-ink-900/60"),children:eb?(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(o.A,{className:"h-3.5 w-3.5 animate-spin text-ink-400"}),(0,i.jsx)("span",{className:"text-ink-500 dark:text-ink-400",children:"Scanning for sensitive infoâ¦"})]}):(0,i.jsxs)(i.Fragment,{children:[(0,i.jsx)(l.A,{className:"h-3.5 w-3.5 text-ink-900 dark:text-ink-100"}),(0,i.jsx)("span",{className:"font-medium",children:eC.length>0?`${eC.length} item${1===eC.length?"":"s"} will be hidden before sending`:"No sensitive info detected"})]})}),null!==ev&&(0,i.jsx)("span",{className:"ml-2 text-amber-600 dark:text-amber-400",children:"name detection unavailable â structured info still hidden"}),em&&eC.length>0&&(0,i.jsx)("ul",{className:"mt-1.5 max-h-40 w-72 space-y-1 overflow-auto rounded-lg border border-ink-200 bg-[var(--bg-raised)] p-2 shadow-[var(--shadow-md)] dark:border-ink-700",children:eC.map(e=>(0,i.jsxs)("li",{className:"flex items-center gap-2 truncate",children:[(0,i.jsx)("span",{className:"shrink-0 text-[10px] uppercase tracking-wide text-ink-400",children:e.type}),(0,i.jsx)("span",{className:"truncate",children:e.value})]},e.type+":"+e.value))})]}),ef&&!$&&(0,i.jsxs)("div",{className:"mb-2 flex items-center gap-1.5 text-xs text-ink-500 dark:text-ink-400",children:[(0,i.jsx)(d.A,{className:"h-3.5 w-3.5 shrink-0 text-ink-400"}),(0,i.jsxs)("span",{children:["Trying to ","video"===ef?"generate a video":"create an image","?"," ",(0,i.jsx)(a(),{href:"/studio",className:"font-medium text-ink-900 underline underline-offset-2 hover:text-ink-700 dark:text-ink-100 dark:hover:text-ink-300",children:"Head over to Studio"})," ","to do that."]})]}),el&&ea&&!eh&&(0,i.jsxs)("div",{className:"mb-2 flex items-center gap-2 rounded-lg border border-[#0000ff]/40 bg-[#0000ff]/5 px-3 py-2 text-xs",children:[(0,i.jsx)(h.A,{className:"h-3.5 w-3.5 shrink-0 text-[#0000ff]"}),(0,i.jsx)("span",{className:"text-ink-600 dark:text-ink-300",children:"Connect your Base Account to take onchain actions."}),(0,i.jsx)("button",{type:"button",onClick:()=>void(0,v.Oc)().catch(()=>{}),className:"ml-auto rounded-md bg-[#0000ff] px-2.5 py-1 font-medium text-white hover:bg-[#0000ff]/90",children:"Connect"})]}),el&&ea&&eh&&(0,i.jsxs)("div",{className:"mb-2 flex items-center gap-2 px-1 text-[11px] text-ink-400",children:[(0,i.jsx)(h.A,{className:"h-3 w-3 shrink-0 text-[#0000ff]"}),(0,i.jsx)("span",{children:"Base Account connected."}),(0,i.jsx)("button",{type:"button",onClick:()=>{(0,b.wG)(),ec(!1),K.o.success("Base Account disconnected.")},className:"ml-auto underline underline-offset-2 hover:text-ink-700 dark:hover:text-ink-200",children:"Disconnect"})]}),(0,i.jsxs)("div",{onDragOver:function(t){$||e||Array.from(t.dataTransfer?.items??[]).some(e=>"file"===e.kind)&&(t.preventDefault(),M(!0))},onDragLeave:function(e){e.currentTarget===e.target&&M(!1)},onDrop:eF,className:(0,V.cn)("relative rounded-2xl border bg-[var(--bg-raised)] shadow-[var(--shadow-sm)] transition-[box-shadow,border-color] duration-200","border-ink-200 dark:border-ink-700","focus-within:border-ink-400 dark:focus-within:border-ink-600",Z&&"ring-2 ring-ink-400/50 dark:ring-ink-500/40"),children:[D.length>0&&(0,i.jsx)("div",{className:"flex flex-wrap gap-2 border-b border-ink-200/60 px-3 pt-3 dark:border-ink-800/60",children:D.map(e=>(0,i.jsxs)("div",{className:"group relative h-20 w-20 overflow-hidden rounded-lg border border-ink-200 bg-[var(--bg)] dark:border-ink-700",children:[(0,i.jsx)("img",{src:e.dataUrl,alt:"",className:"h-full w-full object-cover"}),(0,i.jsx)("button",{type:"button",onClick:()=>{var t;return t=e.id,void J(e=>e.filter(e=>e.id!==t))},"aria-label":"Remove image",className:"absolute right-1 top-1 flex h-5 w-5 items-center justify-center rounded-full bg-ink-950/80 text-ink-50 opacity-100 transition-opacity md:opacity-0 md:group-hover:opacity-100",children:(0,i.jsx)(c.A,{className:"h-3 w-3"})}),(0,i.jsx)("span",{className:"pointer-events-none absolute bottom-0 left-0 right-0 truncate bg-gradient-to-t from-ink-950/80 to-transparent px-1.5 py-0.5 text-[10px] text-ink-50",children:e.size})]},e.id))}),(0,i.jsx)("textarea",{ref:_,value:Y?T:H,onChange:e=>R(e.target.value),onKeyDown:function(e){"Enter"!==e.key||e.shiftKey||(e.preventDefault(),ey())},onInput:function(){let e=_.current;e&&(e.style.height="auto",e.style.height=Math.min(e.scrollHeight,280)+"px")},onPaste:eK,rows:1,placeholder:$?"Receiving responseâ¦":"Ask anything",readOnly:Y||$,className:(0,V.cn)("block max-h-[280px] w-full resize-none bg-transparent px-4 pt-3.5 text-[15px] leading-relaxed outline-none transition-[font-family,letter-spacing] duration-150 placeholder:text-ink-400 disabled:opacity-60",Y&&"font-mono tracking-wider")}),(0,i.jsxs)("div",{className:"flex items-center gap-1 border-t border-ink-100 px-2 pb-1.5 pt-1.5 dark:border-ink-800/70",children:[U&&(0,i.jsx)(N,{conversationId:g??null,ensureConversationId:I,onIngested:U,onImageFiles:e=>void ex(e),allowImages:!et,disabled:$}),(0,i.jsxs)("button",{type:"button",onClick:()=>ei(!en),disabled:$,"aria-pressed":en,"aria-label":en?"Agent mode on (click for plain chat)":"Switch to agent mode",title:en?"Agent mode on -- the model can take steps + use tools. Click for plain chat.":"Agent mode: let the model take multiple steps and use tools",className:(0,V.cn)("flex h-10 items-center gap-1.5 rounded-md text-sm transition-colors","disabled:opacity-40 disabled:pointer-events-none","w-10 justify-center md:h-8 md:w-auto md:px-2.5",en?"bg-ink-900 text-ink-50 dark:bg-ink-100 dark:text-ink-900":"text-ink-400 hover:bg-ink-100 hover:text-ink-700 dark:hover:bg-ink-800 dark:hover:text-ink-200"),children:[(0,i.jsx)(f.A,{className:"h-4 w-4"}),(0,i.jsx)("span",{className:"hidden text-xs font-medium md:inline",children:"Agent"})]}),!et&&(0,i.jsxs)("button",{type:"button",onClick:()=>er(!es),disabled:$,"aria-pressed":es,"aria-label":es?"Redaction on (click to disable)":"Enable PII redaction",title:"Redact names, emails, and other sensitive data before it leaves your device",className:(0,V.cn)("flex h-10 items-center gap-1.5 rounded-md text-sm transition-colors","disabled:opacity-40 disabled:pointer-events-none","w-10 justify-center md:h-8 md:w-auto md:px-2.5",es?"bg-ink-900 text-ink-50 dark:bg-ink-100 dark:text-ink-900":"text-ink-400 hover:bg-ink-100 hover:text-ink-700 dark:hover:bg-ink-800 dark:hover:text-ink-200"),children:[(0,i.jsx)(l.A,{className:"h-4 w-4"}),(0,i.jsx)("span",{className:"hidden text-xs font-medium md:inline",children:"Redact"})]}),el&&(0,i.jsxs)("button",{type:"button",onClick:()=>{ed?K.o.info("Onchain actions need a deposit","Add funds to your account to send, swap, and sign on Base from chat."):eo(!ea)},disabled:$,"aria-pressed":ea,"aria-label":ed?"Onchain actions need a deposit":ea?"Onchain mode on (click to disable)":"Enable onchain actions",title:ed?"Onchain actions need a deposit. Add funds to send, swap, and sign on Base.":"Let the agent take real Base actions (transfer, swap, sign). You approve each one in your own Base Account.",className:(0,V.cn)("flex h-10 items-center gap-1.5 rounded-md text-sm transition-colors","disabled:opacity-40 disabled:pointer-events-none","w-10 justify-center md:h-8 md:w-auto md:px-2.5",ed?"text-ink-300 hover:bg-ink-100 hover:text-ink-400 dark:text-ink-600 dark:hover:bg-ink-800":ea?"bg-[#0000ff] text-white hover:bg-[#0000ff]/90":"text-ink-400 hover:bg-ink-100 hover:text-ink-700 dark:hover:bg-ink-800 dark:hover:text-ink-200"),children:[(0,i.jsx)(h.A,{className:"h-4 w-4"}),(0,i.jsx)("span",{className:"hidden text-xs font-medium md:inline",children:"Onchain"})]}),(0,i.jsx)("div",{className:"flex-1"}),!et&&(0,i.jsx)(j,{disabled:$}),$?(0,i.jsx)(y.$,{type:"button",onClick:ee,variant:"outline",size:"icon",className:"h-10 w-10 rounded-full md:h-8 md:w-8","aria-label":"Stop generation",children:(0,i.jsx)(u.A,{className:"h-3 w-3 fill-current"})}):(0,i.jsx)(y.$,{type:"submit",disabled:!eV,variant:"primary",size:"icon",className:"h-10 w-10 rounded-full md:h-8 md:w-8","aria-label":"Send",children:w?(0,i.jsx)(o.A,{className:"h-4 w-4 animate-spin"}):(0,i.jsx)(Q.A,{className:"h-4 w-4",strokeWidth:2.5})})]}),Z&&(0,i.jsx)("div",{className:"pointer-events-none absolute inset-0 flex items-center justify-center rounded-2xl bg-ink-100/80 text-sm font-medium text-ink-900 dark:bg-ink-800/80 dark:text-ink-100",children:"Drop images to attach"})]}),(0,i.jsx)("p",{className:"mt-2 text-center text-[11px] text-ink-400",children:"Your proof is generated in this browser. No identity leaves your device."})]})}},89992:(e,t,n)=>{n.d(t,{IR:()=>c,Nn:()=>Q,lC:()=>f,xu:()=>u});var i=n(35316),s=n(75182),r=n(1305),a=n(17531);async function o(){return(await n.e(2675).then(n.bind(n,92675)))._getKeyForMemory()}async function l(e){let t=e.type,n=e.name.toLowerCase();if("application/pdf"===t||n.endsWith(".pdf"))return await d(e);if("application/vnd.openxmlformats-officedocument.wordprocessingml.document"===t||n.endsWith(".docx"))return await h(e);if(t.startsWith("text/")||"application/json"===t||n.endsWith(".md")||n.endsWith(".txt")||n.endsWith(".log")||n.endsWith(".csv"))return await e.text();throw Error(`Unsupported document type: ${t||n}`)}async function d(e){let t=await n.e(2165).then(n.bind(n,27993)),i=await n.e(1384).then(n.bind(n,11769)).catch(()=>null);i&&"object"==typeof i&&"default"in i&&(t.GlobalWorkerOptions.workerSrc=i.default);let s=await e.arrayBuffer(),r=await t.getDocument({data:s}).promise,a=[];for(let e=1;e<=r.numPages;e++){let t=await r.getPage(e),n=(await t.getTextContent()).items;a.push(n.map(e=>e.str??"").join(" "))}return a.join("\n\n")}async function h(e){let t=await n.e(2025).then(n.t.bind(n,42025,19)),i=await e.arrayBuffer();return(await t.extractRawText({arrayBuffer:i})).value}async function c(e,t){let n=(0,i.L)();if(!n)throw Error("IndexedDB unavailable");if(e.size>0xa00000)throw Error(`File is ${Math.round(e.size/1048576)} MB; cap is 10 MB.`);let d=e=>t.onProgress?.(e),h=(0,a.uR)(),c=await o();d({stage:"parsing",fraction:.08});let f=(await l(e)).trim();if(0===f.length)throw Error("No text extracted from this file. Is it empty or an image-only PDF?");
23let u=f.split(/\s+/).filter(Boolean).length,Q=await (0,s.FA)(f,c),p=!1,g=[];if(u>=1500){d({stage:"chunking",fraction:.18});let e=function(e){let t=e.replace(/\r\n/g,"\n").replace(/\t/g," ").trim();if(!t)return[];let n=t.split(/\n\s*\n+/).map(e=>e.trim()).filter(e=>e.length>0),i=[],s=[],r=0,a=()=>{0!==s.length&&(i.push(s.join("\n\n")),s=[],r=0)};for(let e of n){let t=e.split(/\s+/);if(t.length>200){a();for(let e=0;e<t.length;e+=170)i.push(t.slice(e,e+200).join(" "));continue}r+t.length>200&&a(),s.push(e),r+=t.length}return a(),i.slice(0,500)}(f);if(e.length>0)try{d({stage:"embedding",fraction:.22,embedded:0,total:e.length});let t=await (0,r.embedBatch)(e,(e,t)=>d({stage:"embedding",fraction:.22+e/t*.65,embedded:e,total:t}));g=await Promise.all(e.map(async(e,n)=>({id:(0,a.uR)(),documentId:h,chunkIndex:n,content:await (0,s.FA)(e,c),embedding:t[n].buffer.slice(0)}))),p=!0}catch(e){}}d({stage:"persisting",fraction:.92});let I={id:h,name:e.name,mimeType:e.type||"application/octet-stream",size:e.size,conversationId:t.conversationId,expertId:t.expertId??null,wordCount:u,content:Q,embedded:p,createdAt:(0,a.tB)()};return await n.transaction("rw",n.documents,n.documentChunks,async()=>{await n.documents.add(I),g.length>0&&await n.documentChunks.bulkAdd(g)}),d({stage:"done",fraction:1}),I}async function f(e){let t=(0,i.L)();return t?t.documents.where("conversationId").equals(e).toArray():[]}async function u(e){let t=(0,i.L)();return t?t.documents.where("expertId").equals(e).toArray():[]}async function Q(e){let t=(0,i.L)();t&&await t.transaction("rw",t.documents,t.documentChunks,async()=>{await t.documentChunks.where("documentId").equals(e).delete(),await t.documents.delete(e)})}}
23,90354:(e,t,n)=>{n.d(t,{L:()=>s,S:()=>i});let i=(0,n(91091).v)((e,t)=>({count:0,begin:()=>e({count:t().count+1}),end:()=>e({count:Math.max(0,t().count-1)})}));async function s(e){i.getState().begin();try{return await e()}finally{i.getState().end()}}},91826:(e,t,n)=>{n.d(t,{A:()=>i});let i=(0,n(91091).v)(e=>({running:!1,conversationId:null,steps:[],start:t=>e({running:!0,conversationId:t,steps:[]}),push:t=>e(e=>({steps:[...e.steps.filter(e=>e.index!==t.index),t].sort((e,t)=>e.index-t.index)})),finish:()=>e({running:!1}),reset:()=>e({running:!1,conversationId:null,steps:[]})}))},92511:(e,t,n)=>{n.d(t,{C:()=>a});var i=n(52034),s=n(3283),r=n(54922);async function a(e,t=fetch){let n=0;try{n=await (0,s.Pw)(e,t)}catch{}let{removed:o,remaining:l}=await (0,r.C5)(n=>(0,i.L0)(e,n,t));return{restored:n,removed:o,remaining:l,balance:await (0,r.Tr)()}}},93457:(e,t,n)=>{n.d(t,{Cn:()=>l,Ju:()=>o,Vk:()=>s,YX:()=>r,hC:()=>d,m_:()=>a});var i=n(86080);let s="https://mcp.base.org/authorize",r={register:`${i.jV.sovereignApiUrl}/v1/base-mcp/register`,token:`${i.jV.sovereignApiUrl}/v1/base-mcp/token`,rpc:`${i.jV.sovereignApiUrl}/v1/base-mcp/rpc`},a="agent_wallet:transact agent_wallet:escalate";function o(){return`${window.location.origin}/base/callback`}let l={client_name:"PRXVT AI",client_uri:i.jV.appOrigin,logo_uri:`${i.jV.appOrigin}/PRXVT-LOGO.png`,tos_uri:`${i.jV.appOrigin}/terms`,policy_uri:`${i.jV.appOrigin}/privacy`},d={address:"0x4b5D32A07b8d3eC5D6928cAa30196f8dd6a7C5A9",symbol:"PRXVT",decimals:18,chain:"base"}}}]);
Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.