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@adraffy/ens-normalize - npm Package Compare versions

Comparing version 1.9.2 to 1.9.4

2

dist/all.min.js

@@ -1,1 +0,1 @@

function A(A){return function(A){let t=0;return()=>A[t++]}(function(A){let t=0;function e(){return A[t++]<<8|A[t++]}let n=e(),o=1,r=[0,1];for(let A=1;A<n;A++)r.push(o+=e());let s=e(),l=t;t+=s;let i=0,g=0;function c(){return 0==i&&(g=g<<8|A[t++],i=8),g>>--i&1}const C=2**31,a=C>>>1,f=C-1;let w=0;for(let A=0;A<31;A++)w=w<<1|c();let p=[],B=0,u=C;for(;;){let A=Math.floor(((w-B+1)*o-1)/u),t=0,e=n;for(;e-t>1;){let n=t+e>>>1;A<r[n]?e=n:t=n}if(0==t)break;p.push(t);let s=B+Math.floor(u*r[t]/o),l=B+Math.floor(u*r[t+1]/o)-1;for(;0==((s^l)&a);)w=w<<1&f|c(),s=s<<1&f,l=l<<1&f|1;for(;s&~l&536870912;)w=w&a|w<<1&f>>>1|c(),s=s<<1^a,l=(l^a)<<1|a|1;B=s,u=1+l-s}let d=n-4;return p.map((t=>{switch(t-d){case 3:return d+65792+(A[l++]<<16|A[l++]<<8|A[l++]);case 2:return d+256+(A[l++]<<8|A[l++]);case 1:return d+A[l++];default:return t-1}}))}(function(A){let t=[];[..."ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"].forEach(((A,e)=>t[A.charCodeAt(0)]=e));let e=A.length,n=new 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l(1+t(),1+A,t).map((A=>[A[0],A.slice(1)]))}var c=A("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");const 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t=fA(s.cps);e&&(1==A.length||l===A.length-1&&"stop"===A[l-1].type)&&/[a-z]/.test(t)&&i.classList.add(t),i.innerText=t,i.title=TA({Type:"Valid",Hex:yA(s.cps)},r(s.type,s.cps));break}case"mapped":{i=document.createElement("div");let A=document.createElement("span");if(A.classList.add("before"),A.innerText=fA([s.cp]),A.title=TA({Type:"Mapped (Match)",Hex:f(s.cp)},r(s.type,[s.cp])),i.append(A),!t){let A=document.createElement("span");A.innerText=s.cps.map((A=>fA([A]))).join("​"),A.title=TA({Type:"Mapped (Replacement)",Hex:yA(s.cps)},r(s.type,s.cps)),i.append(HA(),A)}break}case"stop":case"ignored":case"disallowed":i=zA(s.cp),i.title=TA({Type:s.type,Hex:f(s.cp)},r(s.type,[s.cp]));break;default:throw new TypeError(`unknown token type: ${s.type}`)}return i.classList.add(s.type),i}))),s}function ZA(){let A=document.createElement("style");A.innerText="\n\t.tokens {\n\t\tdisplay: flex;\n\t\tflex-wrap: wrap;\n\t\tgap: 2px;\n\t}\n\t.tokens > * {\n\t\tpadding: 2px 4px;\n\t\tdisplay: flex;\n\t\talign-items: center;\n\t\tgap: 4px;\n\t\tborder-radius: 5px;\n\t\toverflow: hidden;\n\t}\n\t.tokens a {\n\t\ttext-decoration: none;\n\t}\n\t.tokens a:hover {\n\t\tborder-color: #00f;\n\t}\n\t.tokens .valid {\n\t\tbackground: #cfc;\n\t\tborder: 2px solid #0a0;\n\t\tline-break: anywhere;\n\t}\n\t.tokens .valid.eth {\n\t\tcolor: #fff;\n\t\tbackground: #58f;\n\t\tborder: none;\n\t}\n\t.tokens .valid.art {\n\t\tcolor: #fff;\n\t\tbackground: #333; /*#f63;*/\n\t\tborder: none;\n\t}\n\t.tokens .valid.com,\n\t.tokens .valid.net,\n\t.tokens .valid.org,\n\t.tokens .valid.io,\n\t.tokens .valid.cash,\n\t.tokens .valid.xyz {\n\t\tcolor: #fff;\n\t\tbackground: #0a0;\n\t\tborder: none;\n\t}\n\t.tokens .ignored {\n\t\tcolor: #fff;\n\t\tbackground: #aaa;\n\t\tfont-size: 75%;\n\t\tfont-family: monospace;\n\t}\n\t.tokens .disallowed {\n\t\tbackground: #c00;\t\n\t\tmin-width: 5px;\n\t\tmin-height: 1em;\n\t\tborder-radius: 5px;\n\t\tcolor: #fff;\n\t}\n\t.tokens .disallowed.code {\n\t\tfont-size: 75%;\n\t\tbackground: #800;\n\t}\n\t.tokens .disallowed.mod {\n\t\tborder: 2px solid #800;\n\t\tfont-size: 80%;\n\t}\n\t.tokens .disallowed.mod.tag {\n\t\tbackground: #f00;\n\t\tcolor: #000;\n\t}\n\t.tokens .mapped {\n\t\tdisplay: flex;\n\t\tborder: 2px solid #66f;\n\t\tbackground: #ccf;\n\t}\n\t.tokens .mapped span:first-child {\n\t\tmargin-bottom: -4px;\n\t\tborder-bottom: 4px solid #000;\n\t\ttext-align: center;\n\t\tmin-width: 0.5rem;\n\t}\n\t.tokens .stop {\n\t\tfont-weight: bold;\n\t\tbackground: linear-gradient(#fff, #ff0);\n\t\tpadding-bottom: 0;\n\t\tborder: 1px solid #ccc;\n\t}\n\t.tokens .emoji {\n\t\tborder: 2px solid #0aa;\n\t\tbackground: #cff;\n\t\tcolor: #000;\n\t}\n\t.tokens .mod {\n\t\tcolor: #fff;\n\t}\n\t.tokens * .mod {\n\t\tfont-size: 70%;\n\t\tpadding: 2px;\n\t\tborder-radius: 3px;\n\t}\n\t.tokens .emoji .mod {\n\t\tbackground: #333;\n\t}\n\t.tokens .emoji .mod.zwj {\n\t\tbackground: #0aa;\n\t}\n\t.tokens .emoji .mod.tag {\n\t\tbackground: #0aa;\n\t}\n\t.tokens .emoji .mod.tag.end {\n\t\tbackground: #066;\n\t}\n\t.tokens .emoji .mod.dropped {\n\t\tbackground: #aaa;\t\t\n\t}\n\t.tokens .arrow {\n\t\tcolor: rgba(0, 0, 0, 0.35);\n\t}\n\t.tokens .code {\n\t\tfont-family: monospace;\n\t}\n\t.tokens .nfc {\n\t\tdisplay: flex;\n\t\tborder: 2px solid #c80;\n\t\tbackground: #fd8;\n\t\tborder-radius: 5px;\n\t\tpadding: 2px;\n\t}",document.body.append(A)}var WA=Object.freeze({__proto__:null,built:"2023-02-21T09:18:13.549Z",cldr:"42 (2022-11-04T04:55:37.180Z)",derived:"2023-02-21T06:30:22.973Z",spec_hash:"962316964553fce6188e25a5166a4c1e906333adf53bdf2964c71dedc0f8e2c8",unicode:"15.0.0 (2022-10-23T06:00:57.990Z)",version:"1.9.0"});export{u as compare_arrays,YA as dom_from_tokens,hA as ens_beautify,NA as ens_emoji,EA as ens_normalize,QA as ens_normalize_fragment,mA as ens_split,RA as ens_tokenize,p as explode_cp,f as hex_cp,uA as is_combining_mark,G as nfc,K as nfd,w as quote_cp,d as random_choice,Q as random_sample,E as run_tests,fA as safe_str_from_cps,dA as should_escape,B as str_from_cps,ZA as use_default_style,WA as versions};
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");const 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A=document.createElement("span");if(A.classList.add("before"),A.innerText=CA([l.cp]),A.title=HA({Type:"Mapped (Match)",Hex:C(l.cp)},r(l.type,[l.cp])),s.append(A),!e){let A=document.createElement("span");A.innerText=l.cps.map((A=>CA([A]))).join("​"),A.title=HA({Type:"Mapped (Replacement)",Hex:YA(l.cps)},r(l.type,l.cps)),s.append(TA(),A)}break}case"stop":case"ignored":case"disallowed":s=KA(l.cp),s.title=HA({Type:l.type,Hex:C(l.cp)},r(l.type,[l.cp]));break;default:throw new TypeError(`unknown token type: ${l.type}`)}return s.classList.add(l.type),s}))),l}function XA(){let A=document.createElement("style");A.innerText="\n\t.tokens {\n\t\tdisplay: flex;\n\t\tflex-wrap: wrap;\n\t\tgap: 2px;\n\t}\n\t.tokens > * {\n\t\tpadding: 2px 4px;\n\t\tdisplay: flex;\n\t\talign-items: center;\n\t\tgap: 4px;\n\t\tborder-radius: 5px;\n\t\toverflow: hidden;\n\t}\n\t.tokens a {\n\t\ttext-decoration: none;\n\t}\n\t.tokens a:hover {\n\t\tborder-color: #00f;\n\t}\n\t.tokens .valid {\n\t\tbackground: #cfc;\n\t\tborder: 2px solid #0a0;\n\t\tline-break: anywhere;\n\t}\n\t.tokens .valid.eth {\n\t\tcolor: #fff;\n\t\tbackground: #58f;\n\t\tborder: none;\n\t}\n\t.tokens .valid.art {\n\t\tcolor: #fff;\n\t\tbackground: #333; /*#f63;*/\n\t\tborder: none;\n\t}\n\t.tokens .valid.com,\n\t.tokens .valid.net,\n\t.tokens .valid.org,\n\t.tokens .valid.io,\n\t.tokens .valid.cash,\n\t.tokens .valid.xyz {\n\t\tcolor: #fff;\n\t\tbackground: #0a0;\n\t\tborder: none;\n\t}\n\t.tokens .ignored {\n\t\tcolor: #fff;\n\t\tbackground: #aaa;\n\t\tfont-size: 75%;\n\t\tfont-family: monospace;\n\t}\n\t.tokens .disallowed {\n\t\tbackground: #c00;\t\n\t\tmin-width: 5px;\n\t\tmin-height: 1em;\n\t\tborder-radius: 5px;\n\t\tcolor: #fff;\n\t}\n\t.tokens .disallowed.code {\n\t\tfont-size: 75%;\n\t\tbackground: #800;\n\t}\n\t.tokens .disallowed.mod {\n\t\tborder: 2px solid #800;\n\t\tfont-size: 80%;\n\t}\n\t.tokens .disallowed.mod.tag {\n\t\tbackground: #f00;\n\t\tcolor: #000;\n\t}\n\t.tokens .mapped {\n\t\tdisplay: flex;\n\t\tborder: 2px solid #66f;\n\t\tbackground: #ccf;\n\t}\n\t.tokens .mapped span:first-child {\n\t\tmargin-bottom: -4px;\n\t\tborder-bottom: 4px solid #000;\n\t\ttext-align: center;\n\t\tmin-width: 0.5rem;\n\t}\n\t.tokens .stop {\n\t\tfont-weight: bold;\n\t\tbackground: linear-gradient(#fff, #ff0);\n\t\tpadding-bottom: 0;\n\t\tborder: 1px solid #ccc;\n\t}\n\t.tokens .emoji {\n\t\tborder: 2px solid #0aa;\n\t\tbackground: #cff;\n\t\tcolor: #000;\n\t}\n\t.tokens .mod {\n\t\tcolor: #fff;\n\t}\n\t.tokens * .mod {\n\t\tfont-size: 70%;\n\t\tpadding: 2px;\n\t\tborder-radius: 3px;\n\t}\n\t.tokens .emoji .mod {\n\t\tbackground: #333;\n\t}\n\t.tokens .emoji .mod.zwj {\n\t\tbackground: #0aa;\n\t}\n\t.tokens .emoji .mod.tag {\n\t\tbackground: #0aa;\n\t}\n\t.tokens .emoji .mod.tag.end {\n\t\tbackground: #066;\n\t}\n\t.tokens .emoji .mod.dropped {\n\t\tbackground: #aaa;\t\t\n\t}\n\t.tokens .arrow {\n\t\tcolor: rgba(0, 0, 0, 0.35);\n\t}\n\t.tokens .code {\n\t\tfont-family: monospace;\n\t}\n\t.tokens .nfc {\n\t\tdisplay: flex;\n\t\tborder: 2px solid #c80;\n\t\tbackground: #fd8;\n\t\tborder-radius: 5px;\n\t\tpadding: 2px;\n\t}",document.body.append(A)}var qA=Object.freeze({__proto__:null,base64_ens_hash:"4aab629147f0d7e715ffac2cd3e2fcd0e6922ee059b78d717c265540d3bf5768",base64_nf_hash:"a974b6f8541fc29d919bc85118af0a44015851fab5343f8679cb31be2bdb209e",built:"2023-07-20T07:23:23.727Z",cldr:"42 (2022-11-04T04:55:37.180Z)",derived:"2023-02-21T06:30:22.973Z",spec_hash:"962316964553fce6188e25a5166a4c1e906333adf53bdf2964c71dedc0f8e2c8",unicode:"15.0.0 (2022-10-23T06:00:57.990Z)",version:"1.9.4"});export{u as compare_arrays,jA as dom_from_tokens,EA as ens_beautify,dA as ens_emoji,hA as ens_normalize,QA as ens_normalize_fragment,MA as ens_split,JA as ens_tokenize,w as explode_cp,C as hex_cp,BA as is_combining_mark,Y as nfc,z as nfd,p as quote_cp,d as random_choice,Q as random_sample,h as run_tests,CA as safe_str_from_cps,uA as should_escape,B as str_from_cps,XA as use_default_style,qA as versions};

2

dist/index-xnf.min.js

@@ -1,1 +0,1 @@

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")));const 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e=t(l).map((A=>Y[A]));if(e.length)return A(e)})).sort(((A,e)=>e.Q.size-A.Q.size)),o=l(),g=o%3;o=o/3|0;let C=1&o;return o>>=1,{B:r,V:g,F:C,S:1&o,C:2&o,Q:new Set(e)}}([]);class k extends Array{get is_emoji(){return!0}}function q(A,e=w){let t=[];b(A[0])&&t.push("◌");let n=0,r=A.length;for(let o=0;o<r;o++){let r=A[o];W(r)&&(t.push(i(A.slice(n,o))),t.push(e(r)),n=o+1)}return t.push(i(A.slice(n,r))),t.join("")}function d(A){return(W(A)?"":`${z(q([A]))} `)+w(A)}function z(A){return`"${A}"‎`}function H(A){for(let e=A.lastIndexOf(95);e>0;)if(95!==A[--e])throw new Error("underscore allowed only at start")}function b(A){return P.has(A)}function W(A){return L.has(A)}function Z(A,e){let t=e?h:u;return A.split(D).map((A=>i(tA(f(A),t).flatMap((A=>A.is_emoji?nA(A):A))))).join(D)}function X(A){return $(x(A))}function T(A){let e=x(A,!0);for(let{type:A,output:t,error:n}of e)if(!n&&"Greek"!==A){let A=0;for(;;){let e=t.indexOf(958,A);if(e<0)break;t[e]=926,A=e+1}}return $(e)}function x(A,e){let t=0;return A.split(D).map((A=>{let n,r=f(A),o={input:r,offset:t};t+=r.length+1;try{let A,t=o.tokens=tA(r,u),g=t.length;if(!g)throw new Error("empty label");{let r=t[0],l=g>1||r.is_emoji;if(!l&&r.every((A=>A<128)))n=r,H(n),function(A){if(A.length>=4&&A[2]==I&&A[3]==I)throw new Error("invalid label extension")}(n),A="ASCII";else if(l&&(o.emoji=!0,r=t.flatMap((A=>A.is_emoji?[]:A))),n=t.flatMap((A=>!e&&A.is_emoji?nA(A):A)),H(n),r.length){if(P.has(n[0]))throw eA("leading combining mark");for(let A=1;A<g;A++){let e=t[A];if(!e.is_emoji&&P.has(e[0]))throw eA(`emoji + combining mark: "${i(t[A-1])} + ${q([e[0]])}"`)}!function(A){let e=A[0],t=C.get(e);if(t)throw eA(`leading ${t}`);let n=A.length,r=-1;for(let o=1;o<n;o++){e=A[o];let n=C.get(e);if(n){if(r==o)throw eA(`${t} + ${n}`);r=o+1,t=n}}if(r==n)throw eA(`trailing ${t}`)}(n);let e=[...new Set(r)],[o]=function(A){let e=j;for(let t of A){let A=e.filter((A=>A.V.has(t)));if(!A.length)throw e===j?_(t):AA(e[0],t);if(e=A,1==A.length)break}return e}(e);!function(A,e){let{V:t,M:n}=A;for(let n of e)if(!t.has(n))throw AA(A,n);if(n){let A=h(e);for(let e=1,t=A.length;e<t;e++)if(F.has(A[e])){let n=e+1;for(let r;n<t&&F.has(r=A[n]);n++)for(let t=e;t<n;t++)if(A[t]==r)throw new Error(`non-spacing marks: repeated ${d(r)}`);if(n-e>s)throw new Error(`non-spacing marks: too many ${z(q(A.slice(e-1,n)))} (${n-e}/${s})`);e=n}}}(o,r),function(A,e){let t,n=[];for(let A of e){let e=J.get(A);if(e===Q)return;if(e){let n=e.M.get(A);if(t=t?t.filter((A=>n.has(A))):[...n],!t.length)return}else n.push(A)}if(t)for(let e of t)if(n.every((A=>e.V.has(A))))throw new Error(`whole-script confusable: ${A.N}/${e.N}`)}(o,e),A=o.N}else A="Emoji"}o.type=A}catch(A){o.error=A}return o.output=n,o}))}function $(A){return A.map((({input:e,error:t,output:n})=>{if(t){let n=t.message;throw new Error(1==A.length?n:`Invalid label ${z(q(e))}: ${n}`)}return i(n)})).join(D)}function _(A){return new Error(`disallowed character: ${d(A)}`)}function AA(A,e){let t=d(e),n=j.find((A=>A.P.has(e)));return n&&(t=`${n.N} ${t}`),new Error(`illegal mixture: ${A.N} + ${t}`)}function eA(A){return new Error(`illegal placement: ${A}`)}function tA(A,e){let t=[],n=[];for(A=A.slice().reverse();A.length;){let r=rA(A);if(r)n.length&&(t.push(e(n)),n=[]),t.push(r);else{let e=A.pop();if(N.has(e))n.push(e);else{let A=E.get(e);if(A)n.push(...A);else if(!m.has(e))throw _(e)}}}return n.length&&t.push(e(n)),t}function nA(A){return A.filter((A=>A!=p))}function rA(A,e){let t,n,r=y,o=[],g=A.length;for(e&&(e.length=0);g;){let l=A[--g];if(r=r.B.find((A=>A.Q.has(l))),!r)break;if(r.S)n=l;else if(r.C&&l===n)break;o.push(l),r.F&&(o.push(p),g>0&&A[g-1]==p&&g--),r.V&&(t=oA(o,r),e&&e.push(...A.slice(g).reverse()),A.length=g)}return t}function oA(A,e){let t=k.from(A);return 2==e.V&&t.splice(1,1),t}function gA(){let A=[];return function e(t,n,r){if(t.S)r=n[n.length-1];else if(t.C&&r===n[n.length-1])return;t.F&&n.push(p),t.V&&A.push(oA(n,t));for(let A of t.B)for(let t of A.Q)e(A,[...n,t],r)}(y,[]),A.sort(B)}const lA="valid",CA="mapped",sA="ignored",wA="disallowed",fA="emoji",iA="nfc",BA="stop";function cA(A,{nf:e=!0}={}){let t=f(A).reverse(),n=[],r=[];for(;t.length;){let A=rA(t,n);if(A)r.push({type:fA,emoji:A,input:n.slice(),cps:nA(A)});else{let A=t.pop();if(A==a)r.push({type:BA,cp:A});else if(N.has(A))r.push({type:lA,cps:[A]});else if(m.has(A))r.push({type:sA,cp:A});else{let e=E.get(A);e?r.push({type:CA,cp:A,cps:e.slice()}):r.push({type:wA,cp:A})}}}if(e)for(let A=0,e=-1;A<r.length;A++){let t=r[A];if(uA(t.type))if(hA(t.cps)){let t=A+1;for(let A=t;A<r.length;A++){let{type:e,cps:n}=r[A];if(uA(e)){if(!hA(n))break;t=A+1}else if(e!==sA)break}e<0&&(e=A);let n=r.slice(e,t),o=n.flatMap((A=>uA(A.type)?A.cps:[])),g=u(o);B(g,o)?(r.splice(e,t-e,{type:iA,input:o,cps:g,tokens0:aA(n),tokens:cA(i(g),{nf:!1})}),A=e):A=t-1,e=-1}else e=A;else t.type!==sA&&(e=-1)}return aA(r)}function uA(A){return A==lA||A==CA}function hA(A){return A.some((A=>U.has(A)))}function aA(A){for(let e=0;e<A.length;e++)if(A[e].type==lA){let t=e+1;for(;t<A.length&&A[t].type==lA;)t++;A.splice(e,t-e,{type:lA,cps:A.slice(e,t).flatMap((A=>A.cps))})}return A}export{T as ens_beautify,gA as ens_emoji,X as ens_normalize,Z as ens_normalize_fragment,x as ens_split,cA as ens_tokenize,b as is_combining_mark,u as nfc,h as nfd,q as safe_str_from_cps,W as should_escape};
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")));const 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oA="valid",fA="mapped",lA="ignored",CA="disallowed",iA="emoji",wA="nfc",BA="stop";function cA(A,{nf:e=!0}={}){let t=w(A).reverse(),n=[],g=[];for(;t.length;){let A=rA(t,n);if(A)g.push({type:iA,emoji:A.slice(),input:n,cps:gA(A)}),n=[];else{let A=t.pop();if(A==Q)g.push({type:BA,cp:A});else if(V.has(A))g.push({type:oA,cps:[A]});else if(U.has(A))g.push({type:lA,cp:A});else{let e=D.get(A);e?g.push({type:fA,cp:A,cps:e.slice()}):g.push({type:CA,cp:A})}}}if(e)for(let A=0,e=-1;A<g.length;A++){let t=g[A];if(sA(t.type))if(hA(t.cps)){let t=A+1;for(let A=t;A<g.length;A++){let{type:e,cps:n}=g[A];if(sA(e)){if(!hA(n))break;t=A+1}else if(e!==lA)break}e<0&&(e=A);let n=g.slice(e,t),r=n.flatMap((A=>sA(A.type)?A.cps:[])),o=h(r);c(o,r)?(g.splice(e,t-e,{type:wA,input:r,cps:o,tokens0:uA(n),tokens:cA(B(o),{nf:!1})}),A=e):A=t-1,e=-1}else e=A;else t.type!==lA&&(e=-1)}return uA(g)}function sA(A){return A==oA||A==fA}function hA(A){return A.some((A=>m.has(A)))}function uA(A){for(let e=0;e<A.length;e++)if(A[e].type==oA){let t=e+1;for(;t<A.length&&A[t].type==oA;)t++;A.splice(e,t-e,{type:oA,cps:A.slice(e,t).flatMap((A=>A.cps))})}return A}export{Z as ens_beautify,j as ens_emoji,W as ens_normalize,x as ens_normalize_fragment,v as ens_split,cA as ens_tokenize,X as is_combining_mark,h as nfc,u as nfd,J as safe_str_from_cps,T as should_escape};

2

dist/index.min.js

@@ -1,1 +0,1 @@

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CDRsSAAOaAG3CDQALwqdCCBpCAsEIqJzRDwIHx6lCBQDhgi+9bcUDTwAD8gAVwgAHAgAJwgBpkgAawgAOwgkYwo5wFgIAAWIADnIALlIlAAbCABfCCCgADVEAusItAAPCAA6iKvIAsmEAHCIAG8IAAfIKqAAFzQscFeIAB6IAQsIBCQBpwgALggAdwgAIwgmoAAXRAG6mGdwAmAgoAAXRAAFCAAfiAB2iCCgABqEACYIAGzIAbSIA5sKHAAhiAAhCABTCAwBpAgkoAAbRAOOSAAlCC6gOy/tmAAdCAG6jQE8ATgAKwgsAA0IACbQDPgAHIgAZggACEqcCAAoiAApCAAoCp/IGwgAJIgADEgAQQgcAFEIAEXIAD5IADfIADcIAGRINFiIAFUIAbqIWugHCAMEAE0IKAGkyEQDhUgACQgAEWQAXggUiAAbXABjCBCUBgi9ZAEBMALYPBxQMeQAvMXcBqwwIZQJzKhMGBBAOdlJzZjGQJgWHGwVpND0DqAq7BgjfAB0DAgp1AX15TlkbKANWAhxFATMGCnpNxIJZgUcAMAA4CAACAAAAWhHiAIKXMwEyAH3sFBg5TQhRAF4MAAhXAQ6R0wB/QgQnrABhAN0cAJxvPiaSANRyuADW2wEdD8l8eiIfXSQQ2AGPl7IpWlpUTxlDyZAAAACGIz5HMDLnGJ5WAHkBMCw3KUkgFgM3XAT+zPUAUmzjAHECeAJGEYE6zng1NdwCAQwXGSYLGw60tQIBAQEABQIEAgIAGdMCACwBAAUFBQUFBQQEBAQEBAMEBQYHCAMEBAQEAwEBIQCMAI8AlDwA6QC6ANsAo0MAwQCxAKwApwDtAKUA2QCiAOYBBwECAMYAgABhANEA0wECAN0A8QCPAKgBMADpAN4A2woACA4xOtnZ2dm7xeHS1dNINxwBUQFbNEwBWQFoAWcBWgFLUEhKbRIBUhoMDwo5PRINACYTKiwuMT0/P0JCQkNEE0UFI1ZWVlZYWFdYLllaXFtbImJmZmVnZilrbXV0d3d3d3d3eXl5eXl5eXl5eXl7e3x7emEAQ/EASACZAHcAMQBl9wCNAFYAVgA2AnXuAIoABPf3AGMAkvEAngBOAGEAY/7+rwCEAIQAaABVALAAIwC1AIICPwJCAPsA5gD9AP0A5wD+AOgA6ADnAOUALgJ6AVABPwE9AVMBPQE9AT0BOAE3ATcBNwEbAVcWADAPBwAAUh4RHQocHRUAjQCVAKUAUABpHwIwAHUAbgCWAxQDJjEDIEhFTjAAkAJOAMYCVgKjAL8ClQKVApUClQKVApUCigKVApUClQKVApUClQKUApQClwKfApYClQKVApMCkwKTApMCkQKUAnQB0wKWAp4ClQKVApQdgBIEAP0MA54CYAI5HgFTFzwC4RgRMhoBTT4aVJgBeqtDAWhgAQQDQE4BBQCYMB4flnEAMGcAcAA1AJADm8yS8LWLYQzBMhXJARgIpNx7MQsEKmFzAbkA5IWHhoWHhYiJiYWKjYuFjI+Nh46Jj4mQhZGFkoWTkZSFlYWWiZeFmIWZhZqFm4qcj52JnoUAiXMrc6cAinNzBEIEPwRBBEQEQgRIBEUEQARGBEgERwRDBEUESACqA45zANBYc3MA1nMCE3MA/WFzAP0BIAD9APsA+wD8APvbA4sqbMUA/QD7APsA/AD7I3NzAJBhcwD9AJABIAD9AJAC8wD9AJDbA4sqbMUjcwD+YXMBIAD9AP0A+wD7APwA+wD+APsA+wD8APvbA4sqbMUjc3MAkGFzASAA/QCQAP0AkALzAP0AkNsDiypsxSNzAkoBPXMCUQFAcwJSyHNzA6UC8wOl2wOLKmzFI3NzAJBhcwEgA6UAkAOlAJAC8wOlAJDbA4sqbMUjcwQ3cwCQBDgAkA2UOHQnATNz3QdFdQoqcwEEAM1hCXNzAFthAAUaOQlzcwCQCXNE3wBQc90JcwCdbXNzQ4CD8BW5tNbewS6T/Np1iIh1Iy3DtPDAAXjPx9ENpwOgreI1z2BewtbX8Yi21FG1bBeCk7aB4sFY/Hi+/ekcwwyBHP+f0YI9G/iFY/5bObtuyY4MTYyHeQiZ62eBq/P8+68/rJI6cCQTfucgoskxeeDzvfo6MGQtbufZbw0FPGPpUNSG9SSs7NDWGUbpnlDGReZvnpkqvyGbE9edMaFydt2lujOB9XLYEAXRfM2Kx0lHbXJ4cszHh5aoooqxDeYXz4qvSy3ahNyE6DBY8J7v31dfMFEdiyjfirJ6hX3Pa2ygMOeuVytsRijRhyF9mVnMu2RxuZv3hI/Amu/2xe54SmySPFpHGxTUY0pe8SZ3I+HauujP4GbIzZYg6enubuUlyP0funGhg8HHYTHFSQD9Hm7HGbFy4n0sziYcpwdArgmsyy41VMV2ppGXMiMR4deCi34NNmlnftVdxoyCJzK+r1GvJvWDtbf4dPnrf0G9qOgEs2CpD3n+1P6MHu+kHtsR6lMcf3NcCDlg2BVcCpSVRHQRiw7qolVbxHeM9xvBMbdwjpFKXi7QUZOi6YaKam2q+tP/4Q5El2aNNWkj5UfSZY4ugEdPUnNXG3TnvpCSZ5IpiIvjM/Q7pZNYYv80gD+OdT5J+D+8K7RPkhzH4w8mJHEG67poqLR0JygXeOe4Qz7fpS6uh/vOXaryaHpamD78JfCU/VdaCwy9bCrfgh13NQynhoIdWRr1IQREtBfsr9bRjkodN4IdiTUMDdlCuM8mKFhoQzu5fn+1PZwtWpT+RAfPcOYqFvyg15NH3r44CwuiNOuJa3QiXx/LenV02OWmQIs/SX/g9e97kXeFyzzC5o3GZEj1A4edoQL/Hfudd5DbKP9jRl8TN4J6Kc1PFyNVAX5Xac6bdFhUIzF/y2fxEOMqCLdbgMjAScVBfo62Fi65kWkU5AuSnpXNEa53A8jiHAFWPQRbvChz7XzIQ1/JFkW4oI8xBV6UfjKIPDLC7squNvW2nzcUx+fOUY3Ocin2ftqIvHfTUJTRNcd7Ke70yAIwvqOtwoyPaZMBpoXD8wnXXhGcZwxMUx5c5bPIUoEI0NmMFTasTLrC3msRFOTj05Bautfl1sY/SvMF/LAsyI9YLxLDyLAdk5DR3UM3aUic2osD5OeVdqZVW/Q1m1ebiFPdS2jIqNLulNQ8bGE2SLfELriR1KiTO9P5+lrvWYO1fSrGrUt2bWuylLbZPkwOvWGZpLOHyarck2ZRqWS6sCGey7WyzKtSLDf8N998dc1hh6BN4lUthsFzHww9KK8RpC1vUV1amMjRDMR+KvY6u8hOpZEzHdLMb13izFQP3ijwSQCEFVH7Js8hL21h1Vgxap8exSPY1CBI89DYkx6Tv5XhsKTqejQ6qbBFVPb0FeZ+D1SdjxYgqAq6uvJHq7PW8hluldBOJ7puqANPsXDOtG/su5LwU1PnRExiBpZNO+7blORJ7i9gQYmu2AXSSiKxSZIyyJ+0umdON6y4aPTTM0FbgQzMWfO3PXOymBuZ9DjNH4dcMJSwm9PsU05clrl3w1WkZ04jCxhragJpQ4w9q2B/PX0G25bXPNnUGKSL3EAHAUkcsOzO66BRomJQr0Z8uQAcdKYDE3iFkuZQy+yZq2C3vghrwhw2d8jCgn3V2SEF0Obph80afZ5zohDVBkZps5UEZmSaeyACcgZ6Ecj/Z3Shx0cxedqpF4rbvSD14by33Qb4gSiKqHx0WH7WjNWW+fZz2t1PtJAPWvC6IaLarFyTSGtiv46IG1Q3YMBw5bDrisQFBnBi22oUgsO/eSzcLI5+wpv1ZX3aTHBQ79qiLoPd5uu6JrnhGzEeM0/gRT5wwCJ6uPDv35Qi4MGUO2s9+aimuET6TexV/KC9BGv9ibvW0+9hFedmTLXfrk2/sgHRe5wZPR6ao7kFwN3Egab8d2ApFPLOUgTY+d32/+XKglFsszuassqJBzo6MTbCwlYKO4yYdfk2gfjuHXxxdIjaUUcqePg/jf4AWUOsz7EjkKaPqLCzwTwkuPoskO+HPvSSIj56NBqwhlukh/SUlBPCAvpc+1hWM5aIt7e+NWicwHeXmf7JihSLmAxjDWNDmv6lSpQAYgl3KGYcLR/SwD/UbzS+YBYGKLhVlwwyGYf2autLOFuC7hdVncxFH6lx4+53/q/z8ukeP5C9jWhZLQvvvXJkWbnwQUbH8WW8VDTl7dYYgEw/d8e8PZVIP8QO8aJwNBObbcAh1bZg/ev/mIcRpHqvapWZBZJccfvQ55WYxxTdBLqYbSDjLNfI0d/IB7j1JaX07Z1abn2SGfV7zm8TU65Tqui5ZG/m8fTS7ZJVkQbJqcHfdRPbFKgIm9Q6lqhbspKIufB0JN5lyRQHiZp5cOyRLL44fHhfM56Ukt8hCMN0cSOYZcp5mvcoAcpVNPjMcA/siqAhaIn3EO6j0+ArsfN/wEexl90dGjecxE+R4JAHU9hBGZrDrJJ0L3FasUPVvPdmvrRUYY0LSEJpgUBo4pykiQr4GRZ9cAVKhzBxs86T9E+h0iOclANvJaS1ozReL9coKT4XJH2R15ed78yO6xqF3vPVSvwW+hApUYHspT4xNknEfEBks2ZT80sBfcq+kKqQeraVh2FtwOkIyPZc2PIZqDVqS2OfSXUEJ+aPajbV+aVHDMxPd4ak0ln8Lm3mlBsJjoNzm1LCOw1FWMbUNFmAyj82fesmdYwbtO9hz97ErIjkGBD8ojAOzSZzPT7bq7FxmZzdfzjVX5lq0DgHNm/HtOP0Fha40VmytaL4VvkkkmaH1vfbxgid+hNPqf//ggLAH9wOu9cN3TPGf7RkhvnFBg9Ue9dEMIY0QnUn6WfZwgFnf37KcfXeA/7qvv2NJesfukMgngn3pyJLjhbJ8DGZvbF61Q19ZVHZ/HfiOf3XZwiD/xlEDb+fuGzUrWRq7IMm/Qsd6SJc6Lqt4i6YC+L5h62FwYHiS63//p0lyL3iAb18QEPtnpbEUty0Zrt0fktA9L/YFLfrzYT6atdQjL6OMhCrZ4O3UUaYR0yme/4GNO/yHHufyAVpH/OIPEf2OzptXJ19+tA+NpivJNqCKOwUsJHqTzrT2G77O9dBe4ZcGyF0mPkzzJEpTJOjkgCt47TXZnFahlCXR9VbZ0lb1c1wAqXTKUqyPVaxz4Eu3rPJHiM3IXQQ0NjTvzUPG258V7vbrgoezETHlADY7B1WeyNMFYVE/LaWY7bSfQb7lKJ/KMRmoFwCrkwMEEkDen5KTEXCfVJrN+v4OeBxxE44mtzJOKdlLb7tqPfXrxftovGQyuaJhwlI3qpYBgfatKX2BJFeGTK5b4b9aSrMIv0QoyWUKQxoWaM41bP4QW5RbSawNQdN/0wv7aL9Jkk5J66IDpo7KQGXAKznLFeMn7t0F83ZTXPCDUhEjgWM2SA9ChmM5YEHa5l1hI1fsf77dxeRWfVHKPsN3Pbl3Dy5b4QIYb6N4Pm9jAAQLmQlaBBhZw5Ia7PfQ+xKgKJFQbR4F32mFfupbsbWLM9jDeqYdACLyf6uAKgVu9AJQpYtNbCj5wj9nXAWUWbWQL1cXcTXoVZqxjtyS/BsoaURCQi3dk09KVzUA0V6ZlrQ53Kj5AnQOcl+5F45QK+I7z2+zhbRVGq2VwcLCugx3BCQZwoiwsqtS8RQRixu4k8uRiaKZ/k7rmghRah8nMGZhmN6r12o0TqdMaPiD/n4TLE9VhVaO0KPZEGCIhU8QX+UXBAqICxssIsyKn1OrvUgTYYTO4jXEpu2+kVS6L6T5gjC1tufk8YssX4CRRcvyMaWoJuzmhC3Bq/DBUCuPaMuhQPIQfcmps2oqp9AqlngtSCo26+n5fKqSzEU3lpH1SMPRDrw6OdD/LhpNrs1YTHgMmP068bb8qMgF+/ASQedI7CvWdu04rAtlsP7kSnTDkyMw2LiZnpMx+i+ayXB7c3ckJcjFuig7H00vq2OQzM5PPevRdYi+cZJifcz1t3cNSD0yuvsuFXD/Nk2j60H5RpUU+Zrlp99wSgKEAkuC8nBJJnZ9PR+DkXPe3s4UeOKoq99964VWB9Pnva6uKI779pgq9oaspNcGV8vSOMCM8ACQn9kUPweu9UwI2n5+goo05CFaR5kALF5jhYmybPavdtAxmaC//LVF0ZLRkIcU+NGJzY3OdUKILkQKUDGABumIZHHzKw/jCOmPL+Zl8t46Wkz0WFvi9Gu4zuSn4okuXcj0BSeDVzHIf7sqCBjmC4zCJ+jyS/+Gq2fPUkgfW0bxdgVFMY+zY3TQuMfygLLiF9MzfKQiZXIgzRm4z85AALjRtWp3nO7kFP7ApIqqe2zn0NfjROHgw/hqbhgKGKjsXzu+rrdu5HeSlhWO8hxwDmVaQObSdcyTFMG/YiFD6lJGKdFb4NNS1HnW8T1P6nNQPqraOBTSnQKxz5tTGqNrbaAE4Iio3Cj50ZUqo6/O5OAtJ6Bznp4gKMgBetgD11fCO++j1RdcFdTbD0tkgfxXgzJTUtWCUmdYjl93RR27ifZGYzgK23MdwF4zvKNem782m0dQnmh47Rxz3+2MVhiiS85nTOXxmaODvzAWBE2IQowSrbzE12IJ82fOrvritWvRIF0aLCLdEytK+NVdDxLvmdW+dFeKOa/ocw1Son0O6OzX0lBLmjYSMQSrFe5X5yf6WE2ehsLrv6M8Cqjvwr+u9X+kP/f3iAk31TV+K9yZKQqAn3QOWy+9Hz7iVWRMuM9hs35+avVy4pXASFbOjGdXM1fSQkLOWmFUhyadKWYPjRZoZo0g3CS0qhz+mjygAvmtkYRBcGNpYAEYoIDEwQaswtATb9HLzTetQL8aK79YSb0vJNPSYzsij3FcXbmfnMiaOJIGrrBJnAPRqg2lmCZFXOFah9l2GRBm8HJMGeiupFvR0aRN41otN6X6tGTxS53wk+2+w+Q5ABTdCd15LYZm/a/3bxe9RDQJ5HZhLzr5x1ccTkxBkbxlYBGd8AKvkL2IR3V283R5noyhAM5o/2rKEi4U6kxCV5efr8llvLFrgjPIwS8iES5jxmV5zyPzj7TyzJTJze+9tgDNGYRyyXPkU4mtAh8XUy9vMigfO+1+ZKYW2WCFjDUfvyNiplha4LliPPg8Rc890ZT+F9pMYPAmEg3JJVUm3fp5N0IPNMAYKmbdj8dkIpjDhDJUd6o3G858DgYwPhSC+z3a78QpEmqq+tRaHEcQ30ZN5KVVdASN8NMTnLKoA+IJdapqCRgooGTkhyjB1yEmjSy52110hPaqe1upiUeObsTXtGELTk2p2NZw/3PzU281tafWNmFUPAmooj83DhoQgKPIB7f+NGTDlTOtyPgN8pIB/lnFLL/gcwigZPKDW7p6hnW/GnAzyNS46gLJAl0Eyhqx6UWLeQTU7odMYORK5zf/FV79JGVPOQpNUA58rlB0ugHsyeub8Lnf9QQ4/N5sRKaUjEEhdpF28vfgPZACBbg5UHuVHl8Lby8mVGsrtI7TjL9U3mbtcF+cXQI/5AxT2i0MyciXEKZ8OjvPoQHHU/YSnCXtEp2r08SJxUAHIz1zM+FwdRCYPffQNi2NhkPWTiYTxJ00WVZIrHwmG7jzOLcfWnquJkpOmdPzXfAu+s5EADm0X4VmatqLjVa86dS7Os55qXuRa1Y7dWGvv57LjBlKKgqsbI7lwfyBN3qkKBqe7nwUDn6xqhGPiUPT7j7s+oD52AF6oj6SFXhYWlRXy+1FL7YSbjFxfFvJt5tVXMAr8/voIg8YRiBsKB6eLeIG5Y/KmGmFBxxYzSH7W0IaK3IId+cBlEk6H3Y5BqIBfvhOOBtInLWnsAoRpqlkxd7o/+LP9UXEahdcYlifFlURgUJl0Ly6LHjSZN1CfHB7OORacnBdpIM1lRpBcvwkeyXUvndU4zrfqwtuBEpxqvk4PZPJMByJXUbXie52mfUB689h9GRV99U4gzn1aTbHPWjbB0DQ0Aes2E/ZzoCTxCef56sExSu8ynaPxuDOOeD31OWT0zHo1XxSPQbclDivD+4/v1aWdhGXLR1Ui+NzuQK1NTedznX44c5T3b+2GZZjl5RqH8KR7FTVjLAXvg64Gpc1RROH24J9jrNDyvrMxY453DRUjZ/K3zYJC+M1JxcvLkuZALsXVQ4Z7sj0EuLbRnhTKzRGwFrpXcixvnCgRbJrCl3+RjyWVipph0VLB0nDop/tvjfFmysZ+d2/k6baJMxYoqnE7PFceicrxUYyoJ2LMxicgJqrgvSR3mNJTkvfTU8BIoZz3PpSIS+Y7Ey3MXecxcxYZTeX62egI5Nub2z8Bj4Eg71YCz8Oiapkinw4RRlL+0c2/6jDqc8UK4Zzi1X4aIpgYsPJQOEz2YWBdvH6z5CuY7UvWK2F0Mg4ofRVBArX1p9Gv5VLqWYyL/raRVWkPNI4FEv9+ePcdmBSQR4CFSO6TG13hIV+cm1dkd0/Nt3r28H4NU2knSniDCeozM/Btc4i/ni4H83S2/ktAAvUM7UKJPT+RO8LOlvxhuI8HQmAuJCzVH23R/0JovidxgdJ7g7whCdVQa9/TLFUJWmNSYAaPRAXW/kk2UBmAz6f6POK1zcMlmI8P9tqW2qVXABN0L0zHarXbWHlhtYpXMEda/pIHLwu8RHqmWWMgMzkyKicSFKK10UvZRdcO8fCiSijtFIY8qW7CscvtzpP92lm+c648urehw35v1EOfO3kdny+CQm/Y0u+zPuevhCrQKhTsUq4G1rNPoGuVzvhf2Ui1f8jzvx9fJbQR69A0ETLUUC2ndk1YFQNi22yLwyZyw4xU8P3RGLM5qojKNwHAZAMAEudzg8UdfV6i4VktOLbhhHUPqpCn6dtpnr16rINs5hWJGMYXaEn0irFCuoYnJEVhdJ4PZLKuTkrP1UUVWZ0SMgJ3F2I8YRhtLwK4dhh/oKk0hdVgEH/l2/0c+cLlF7kpDuF3lC4fsFw3V0QrwH3GLNb2waS18OmYB07yaLEqhd58bSaGJZzePoroV5v3UK46/sWdKczstFIiYLmmKeaVGRNo3IWk+dYUqWy5aJClXj5tf/v47ijlkmMDP+ROUxoGk7LFzne4/0CRPl/5SUyOa679jibvdVQFZ1o0H9kBux7OSC9B+qVKE1trxr4xqTkjc1ZGZBpY0zyKBiu8wr+/KXc37u0cdXGJwY/aTic3kGj4jt3y4ZwleKskyXMFHKGwVhqpFH3ba02boSzGHyPMAe/reVqWSTT2Uz47+uYvHZGNASqYQ23uZoxalHK+PGoH9trTVaw2KB4dH8fNrXRLhiyxGdRtS0x8k3feeOvsOdKEdaOf3IrfWCZM/n3+hVJizA4zoX8MzsIf6bDfuFXIIRR2RN0rICZcMRmnRxUXT+YMOid50gg+Nt4Uucemmbd9kvJG/O04PVC0vm5gGDlIY3THI2+l1rZcMOuSDWBp6I4Eltp7naHZCdaPUWnQ07VqO49znDgCmtu5Tb+SSEQJV+rJsiXgCqoeeQciher8cqF616P8qlZeonKihdVkj+RTnjOcnoERWubvyaeFO6Ub3dhh0qmm2RD4enszxE1JaAaiezuSoCayJQP931HGcy0NmuVr/UV0pvbwICLpBbVkxC6qebjLGRXucTG0dbQDFPz049hMem2pb/FOTGYRLR0uPCa0oIwc9Z/g+Iy/zYFDThHi1cqbK824savKGMLMj7j87RT9NMwxaI0eKTfMFioi9SyLq5sN9pV8be2FrOc7xMOdv6btXyqFx63y9fIGMBP2T9Wmeeg61ZGdTE4IwybcGlXLJ3qLbRRpQ8vSzcqFobN+QPtL+51hadAWtRbF6aJpeb7Gca4/Ldh7BDvEbrUuEm+gTyVMeRQ3Ypf9uyFjVstrQIcdY+aur3LC5I5OOnJck1zLUKxLobjy9slG3hv6zylhtKbAbpX5p8Hc910fCT7FNH5/t9xEJX9kkeZ9IMCHAk9zn7L3pXEGZVvdaf85NtlemPpY7iSgSC7zRGsI5W6/UEwX6jDtNVZ9VqPDBe/EqmEEsGcs7jZPQPhi3xpj9UXWQLiy6tsxv/ft9aKQnUg0Sps/x3AZ2uK3ETGTQogPTMQPOnoU6p5KuS3uY6DfW0GeGQ1wNpGzGoUdRJRvHP9MDQpWRSZqZkE/rcNnQ5lS9BmMDW/umgZQD1C2YXfZMy7fIVXo121293Gfx9n7DQP6OxSqiSTNx48KId9kfGYOnV2Wg2TQQywNBRB0mSmqa/jwoBDYVDl6B0XFrVEAwbnhLyqGp5BH9bzsWrrFlu0x285RpqTylTZk3rgcm57prav0DUAKUd02vXdYyNBf7sfX7VYn0Syug9++ey/dHoG7GQzMbhXhtEuRXv6YR20SQgSOrgDUGPR4HhS+Qvk2zOtyH8N/lHYfQxNKt/f7uCpsBBh5eGZaeWNRTBdOObWOvyKJMfD8FLEX1v/5ywtRV27weRzSNaHEQFE0hIzzS4VPzgWtg/4bcetwXpabsePP192muNPyXiRzRZkoeudA9D9x/oVWfRieLfjdXbi/41RGNB3aIj0IxCBHSvUN7LzntO6Oh910zV9u4Glrouyr5odjs8/fW9r0buiTMWTjjLbi2k5tZ3m/134ci/d9f8zuv+4BI7F13Mjb7DTTD5ukfqNTlNC4V9PnfbGAJdKLEDJgBPKyYXCaAL9U5Cxi2j5j+IWmNg6NSnWcATzmOO4+dNBmefy6ceyd8J9/Q7amUWVVkuNVSq3iWEb3UJP7kG+P8wfL4xS0ZNuSKYuo9KpdkJ3b4PYRNSzF+8OXKDWqXuWsan/wconybIRBoGWHMuCkb35BtGfiqZ4hc2CCapKiLmrWnBLlRT+9GA0Qcykkg1B6C3kESJMu2dWyGabbhRwxUeMxARHqbXzHmHpr4Z3vmOxHZ6b1q6MJ0Vb/XKkaPF4xn/VindEJ3S8/9xcGF+PNFuAXc2Jf9uZLLtjxDAEeohd7wjie66LHvcNT0UpWif4uCox2YR/liegMgx8vEbvQClJBMBub7zJQMCr1C/Vf8siWQASp0Ewd7D2uP6f9YTISdEaUAzF9rST9JTHxez310BfdgtWKU1ZYoRuDZvGn2tj9DPjXrkgCr/13OHsP4MOC5b6YqHSedYMW9bEfS5M3nO7zTGS85BzpLTIFqAGhZJLEyLFcZXS7hDhDYVvlm10RLEslMK0cUL/9xqTMOX2iR65umsC8dW4hT0Sg6Tf3T2HAxsHKcNzoqFwuM9k3/LpYekhRc0C+f1I+vMQ4thkfSotx9GUt/cdRosaE8XwqV0k+8ZtU+jv8nn3lbcNxfXXKi5l0SL5kMmrCdrxeVVqxBobrFF+tb0wtkN+DMm88I4jWH/DcdJOjcMOLEsN70vlsfIi+NexpaT0ZsnfewPoTvUSXqqfhRcRk3jA7AdYHEFk4l6O3fe65uZNIMf1lbtJNCNaK2+c5hGKLcTSrBmwWv9TP6JDfZ6UY96g4baayVCbrDpXePgXTG6xO3rT0DAXG9OuPxkSEPLJnqxQViyYQhCp36Q2yFpF6cR04RO7Ab5HPrECqGR0Fnr2gzmjx49XjQf8N5Bk5XH0dh8NOoB62acHwMhlBM8duW9tghc7CN7oz91UEyd8fOtwDK/j7SykdllCAN5kUrcawufMV9y/EqUoKHtP5i8MgQY9RlZFZzi0BeT9Ang4mMIvWAFChZCNnb4tT5cS20jeit8JEN4tz4mUmZxDwiWkEucI1KF/FyAnvE4wybWvbaxBYjT2jdhlzd4y/eTmTl3im5YImADc2unOtmNTcgMdOb9kUgJmgzY/hDaAxqvwLEulLsjq0bsfSE3tRYCRn6xb0uv5B5yFshhewdO5KgoLcaGeqeg0pa9k2RXM32g1jE1UDWO0CaMobavPk+4u26Tmgg6VindBdYdRxpGqlvkxai0K/atC5CWUxlHuukX5b+hg83khzsZK7AVRVptyVNicu0sfQToTDEeIeDdFvDrReJUiJGZcXAhpRL3OufhL4aDfO1zsCmfGq8qFspBiJe13lgS9GguiMsdmgpWOhHkSTVkWnMOnUeIJgqZks/AwL/1yKPm00t6x6qLXQrCJrysUwR+ILJdyyyuUN4BuEtCDUXMXPU5srsAnDUhSfFM/j4RK+cK01o6lXAVbhiOLaaQtpYN6mCOwtJNcVqEpyrxXuWxvE4mbVCytBu/qKO4X2BI1NUSlj/g6FQEiYsXMAQuM9wnHngXKLZRWFHcgroF7URRzLPrMQUfALjbga6S+tGc3Tshv6PA6xeSqRPDbLG+X+0qt9crNzbaxGbStSCfYhdRY4t5BSVY9Pxl9trcYFiUdsV1BSwaZM5u8K+hUm8HV6PoLD/jlsRRzgUq6O+Qw3asFkTKm3clSTo8VtXdpTdzFAZP+tVvAjkfGq3MkSLyTYi08pvQ3h/L9o0JpUnnQeKxXk3qIsGGsH1BXzcZT+voCNv39FSdg6gNY51z9Cyq5Dql8wER5ylTwnLVeHlHAn/HNwxGYeUqrrc2gcmIybVKVD1XAPXjKks2+oHZk4OXYP6+LwVaFEApqEMyEusTgVFTzdjVa2BAaELvpyVhOSMW/ae3NwMfWId4Ue28z5IzumOF/CmY1GmXBOWBf2hgp/r3qS0GU7nGETmj+7Tudbjd1cKhgP39tVtWogjxHt6NLXz8OCbV1nIBG+mmrrZDCbH/o4Vgn3gZkRkq+iHOVW82LunJPXBZjX/ntmptWsqP8nDZBSb3TzAD4vSQeQ1GmtgGWAYfB951YKUnFVJb0z1YRjQqVksL5VpD4N/Vy31vtYY/2g9TmyMADPgCwwA6MhjQ9bd1JFJ3Vls7lD2RYjdIwQwhWzBRPfrxpKcYeu03F0/odRbEc9RZ11TxVY8mXqgJx/vDk0eF4MPV7lgBxYqxoGfEtGZBC1kZlxbcez4Ts4/TuXJ/QsfWT95Fwpc4CtiGCgU4i7LHgoDalqmBabvzV5xvq2pMVourJYZ4paytzilEG+lADOGx7qf9O5/4cP5SqyTCMG4I16I/6I5o4Y/QkWX9ctABry/8Adxz+ZB8AI1yUyNXk1Z073ECiDJ1EuVT69eIDEAlbnv24j4DJGeqIV1b1GDCHJ+OFD4W0gXUs/1bMkNESNKl2ON6DZzAXvqmr8X68yRDgIReKbX1SUwtzYnyadBLhEWS0WTE7T1IxC2SHChb1NFD+2rtJSN8OPTIZRqiizaoh7OSSNpBXJMkKcUQZV8sXw8VkU5ea8j0WZ/YK35loUxE1aG30SL/JYxZWlUenDyKrfbHWJ+z6JOsV0e1Xfw7VGavtHACLwn0tTG9e3lf++w1MCVjFIyU57uOlbTkUSnxAjzmA71qvjTzHeMDWcK099tm9rS8cnfuwxq+YRWANkfmLbCl+74mg4bccPsNY5zz7cjbaFAL0hAwId61yM5uqhMBr4Wcew3b2spG5tkKFOnADeXkGkH4vk+f+an92mWXemOFCpjRsFeEnPEAIsLemM3QfMoME5/w+7Y48y/SvkBN6/KSRVmB7/rHiW7iVkXF6Y1T853OaDg66cIfWkD5TqCDugrlaXlEL1fFjxPoKRHkP5GD/xDiscNH+Dp2fXEKUpwAvC8JTNC+k9JpaMXUB7oj4p77qiAOjXD2pT4v/v0Ukid02LpuYsS7/ScDL1SxB9hxxbkeGOMyPyL4HZPAbyagOgP5Xe2pCqMPyj/KJ0blDHzFVBqzeLIO5D4yq7IpSi9p/QlHa50sCHzGoMqrBS8l9IfRyhq8IDQtOZzjgdvgQDwH7cqa/sybwdfcQse9THS08maKkkgnOi0ShO8Gyf+WL4K9DX11CF9uIbVwJUaCv8r/6FDVOdsEjeumisIJlLJQsjjkEL2QfEc68oqsevnNAEdp4YMJivwBJnE0R2GiBFRTJZNkq/MHDP9O5unQoRoivMJkPm+A0K8CQNXL6V3apC4ROBTyJSW9oOGNF4YrwoTFyz/pexIkeWQADpi+M7q8gBlmGRUune0k7cXyacdbOsD0Q1JQat9T8nmHhyO8PNd2k4qjZsQCs6lEcmaThpVUzGzWOJQGGf2oz7+F/bMfUMARo1PD0/yIhVDK+8MGRo/uByG5UAwPfNeHAd09gkMFpZmTN2rZgoqdSjwv1SbFnFRAqYuzwW8P4+Rk9fE3PVu80HKcXyIEvPfit+o+pnlHDUKKo32HapcVtQhsNiIdH80j/lRnJ2y5RYRbECyY4vl20j/NiBAD0Z5jxWWiL6xAZIonSEJb1qhwmdRp3hISLL9Q1QYOt6C/OixU3eUtXblgBu+fGPAQE0o");const 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A,C=l.tokens=UA(n,e,t),o=C.length;if(!o)throw new Error("empty label");if(g=C.flat(),function(A){for(let e=A.lastIndexOf(95);e>0;)if(95!==A[--e])throw new Error("underscore allowed only at start")}(g),!(l.emoji=o>1||C[0].is_emoji)&&g.every((A=>A<128)))!function(A){if(A.length>=4&&A[2]==y&&A[3]==y)throw new Error(`invalid label extension: "${s(A.slice(0,4))}"`)}(g),A="ASCII";else{let e=C.flatMap((A=>A.is_emoji?[]:A));if(e.length){if(x.has(g[0]))throw DA("leading combining mark");for(let A=1;A<o;A++){let e=C[A];if(!e.is_emoji&&x.has(e[0]))throw DA(`emoji + combining mark: "${s(C[A-1])} + ${fA([e[0]])}"`)}!function(A){let e=A[0],t=w.get(e);if(t)throw DA(`leading ${t}`);let C=A.length,g=-1;for(let n=1;n<C;n++){e=A[n];let C=w.get(e);if(C){if(g==n)throw DA(`${t} + ${C}`);g=n+1,t=C}}if(g==C)throw DA(`trailing ${t}`)}(g);let t=[...new Set(e)],[n]=function(A){let e=AA;for(let t of A){let A=e.filter((A=>A.V.has(t)));if(!A.length)throw AA.some((A=>A.V.has(t)))?pA(e[0],t):aA(t);if(e=A,1==A.length)break}return e}(t);!function(A,e){let{V:t,M:C}=A;for(let C of e)if(!t.has(C))throw pA(A,C);if(C){let A=Y(e);for(let e=1,t=A.length;e<t;e++)if(j.has(A[e])){let C=e+1;for(let g;C<t&&j.has(g=A[C]);C++)for(let t=e;t<C;t++)if(A[t]==g)throw new Error(`duplicate non-spacing marks: ${rA(g)}`);if(C-e>i)throw new Error(`excessive non-spacing marks: ${wA(fA(A.slice(e-1,C)))} (${C-e}/${i})`);e=C}}}(n,e),function(A,e){let t,C=[];for(let A of e){let e=tA.get(A);if(e===H)return;if(e){let C=e.M.get(A);if(t=t?t.filter((A=>C.has(A))):[...C],!t.length)return}else C.push(A)}if(t)for(let e of t)if(C.every((A=>e.V.has(A))))throw new Error(`whole-script confusable: ${A.N}/${e.N}`)}(n,t),A=n.N}else A="Emoji"}l.type=A}catch(A){l.error=A}return l.output=g,l}))}function IA(A){return A.map((({input:e,error:t,output:C})=>{if(t){let C=t.message;throw new Error(1==A.length?C:`Invalid label ${wA(fA(e))}: ${C}`)}return s(C)})).join(d)}function aA(A){return new Error(`disallowed character: ${rA(A)}`)}function pA(A,e){let t=rA(e),C=AA.find((A=>A.P.has(e)));return C&&(t=`${C.N} ${t}`),new Error(`illegal mixture: ${A.N} + ${t}`)}function DA(A){return new Error(`illegal placement: ${A}`)}function UA(A,e,t){let C=[],g=[];for(A=A.slice().reverse();A.length;){let n=NA(A);if(n)g.length&&(C.push(e(g)),g=[]),C.push(t(n));else{let e=A.pop();if(nA.has(e))g.push(e);else{let A=X.get(e);if(A)g.push(...A);else if(!q.has(e))throw aA(e)}}}return g.length&&C.push(e(g)),C}function RA(A){return A.filter((A=>A!=z))}function NA(A,e){let t,C=BA,g=A.length;for(;g&&(C=C.get(A[--g]),C);){let{V:n}=C;n&&(t=n,e&&e.push(...A.slice(g).reverse()),A.length=g)}return t}const LA="valid",PA="mapped",SA="ignored",FA="disallowed",kA="emoji",bA="nfc",OA="stop";function GA(A,{nf:e=!0}={}){let t=c(A).reverse(),C=[],g=[];for(;t.length;){let A=NA(t,C);if(A)g.push({type:kA,emoji:A.slice(),input:C,cps:RA(A)}),C=[];else{let A=t.pop();if(A==m)g.push({type:OA,cp:A});else if(nA.has(A))g.push({type:LA,cps:[A]});else if(q.has(A))g.push({type:SA,cp:A});else{let e=X.get(A);e?g.push({type:PA,cp:A,cps:e.slice()}):g.push({type:FA,cp:A})}}}if(e)for(let A=0,e=-1;A<g.length;A++){let t=g[A];if(VA(t.type))if(JA(t.cps)){let t=A+1;for(let A=t;A<g.length;A++){let{type:e,cps:C}=g[A];if(VA(e)){if(!JA(C))break;t=A+1}else if(e!==SA)break}e<0&&(e=A);let C=g.slice(e,t),n=C.flatMap((A=>VA(A.type)?A.cps:[])),l=K(n);E(l,n)?(g.splice(e,t-e,{type:bA,input:n,cps:l,tokens0:YA(C),tokens:GA(s(l),{nf:!1})}),A=e):A=t-1,e=-1}else e=A;else t.type!==SA&&(e=-1)}return YA(g)}function VA(A){return A==LA||A==PA}function JA(A){return A.some((A=>W.has(A)))}function YA(A){for(let e=0;e<A.length;e++)if(A[e].type==LA){let t=e+1;for(;t<A.length&&A[t].type==LA;)t++;A.splice(e,t-e,{type:LA,cps:A.slice(e,t).flatMap((A=>A.cps))})}return A}export{uA as ens_beautify,cA as ens_emoji,EA as ens_normalize,sA as ens_normalize_fragment,hA as ens_split,GA as ens_tokenize,iA as is_combining_mark,K as nfc,Y as nfd,fA as safe_str_from_cps,QA as should_escape};

13

package.json
{
"name": "@adraffy/ens-normalize",
"version": "1.9.2",
"description": "Compact ES6 Ethereum Name Service (ENS) Name Normalizer",
"version": "1.9.4",
"description": "Ethereum Name Service (ENS) Name Normalizer",
"keywords": [
"ENS",
"ENSIP-15",
"Ethereum",

@@ -12,2 +13,3 @@ "UTS-46",

"Normalize",
"Normalization",
"NFC",

@@ -56,2 +58,3 @@ "NFD"

"scripts": {
"unicode": "node derive/download.js",
"labels": "node validate/download-labels.js",

@@ -61,3 +64,3 @@ "derive": "node derive/make.js",

"validate": "node validate/make.js",
"test": "node test/validate.js",
"test": "node test/coder.js && node test/nf.js && node test/validate.js",
"build": "rollup -c",

@@ -70,6 +73,6 @@ "rebuild": "npm run derive && npm run make && npm run validate && npm run test && npm run build",

"devDependencies": {
"@rollup/plugin-node-resolve": "^15.0.1",
"@rollup/plugin-alias": "^5.0.0",
"@rollup/plugin-terser": "^0.4.0",
"rollup": "^3.20.0"
"rollup": "^3.24.1"
}
}

53

README.md
# ens-normalize.js
0-dependancy Compact ES6 [Ethereum Name Service](https://ens.domains/) (ENS) Name Normalizer that works in the browser.
0-dependancy [Ethereum Name Service](https://ens.domains/) (ENS) Name Normalizer.
* Follows [ENS Name Normalization Standard](https://github.com/adraffy/ensip-15/blob/master/ens-improvement-proposals/ensip-15-normalization-standard.md)
* Additional Implementations:
* Python — [namehash/ens-normalize-python](https://github.com/namehash/ens-normalize-python)
* [Passes **100%**](https://adraffy.github.io/ens-normalize.js/test/validate.html) Validation Tests
* Custom [`NFC`](https://unicode.org/reports/tr15/) Implementation (or use native)
* [Passes **100%**](https://adraffy.github.io/ens-normalize.js/test/report-nf.html) Unicode `15.0.0` [Normalization Tests](https://www.unicode.org/Public/15.0.0/ucd/NormalizationTest.txt)
* 🏛️ Follows [ENSIP-15: ENS Name Normalization Standard](https://docs.ens.domains/ens-improvement-proposals/ensip-15-normalization-standard)
* Other implementations:
* Python — [namehash/ens-normalize-python](https://github.com/namehash/ens-normalize-python)
* C# — [adraffy/ENSNormalize.cs](https://github.com/adraffy/ENSNormalize.cs)
* Java — [adraffy/ENSNormalize.java](https://github.com/adraffy/ENSNormalize.java)
* Javascript — [ensdomains/eth-ens-namehash](https://github.com/ensdomains/eth-ens-namehash)
* [Breakdown Reports from ENSIP-1](https://adraffy.github.io/ens-norm-tests/test-breakdown/output/)
* ✅️ Passes **100%** [ENSIP-15 Validation Tests](https://adraffy.github.io/ens-normalize.js/test/validate.html)
* ✅️ Passes **100%** [Unicode Normalization Tests](https://adraffy.github.io/ens-normalize.js/test/report-nf.html)
* Minified File Sizes:
* [`27KB`](./dist/index-xnf.min.js) — native `NFC` via [nf-native.js](./src/nf-native.js) using `String.normalize()`
* [`36KB` **Default** ](./dist/index.min.js) — custom `NFC` via [nf.js](./src/nf.js)
* [`27KB`](./dist/index-xnf.min.js) — native `NFC` via [nf-native.js](./src/nf-native.js) using `String.normalize()` ⚠️
* [`36KB` **Default**](./dist/index.min.js) — custom `NFC` via [nf.js](./src/nf.js)
* [`42KB`](./dist/all.min.js) *Everything!* — custom `NFC` + sub-libraries: [parts.js](./src/parts.js), [utils.js](./src/utils.js)

@@ -19,3 +22,3 @@ * Included Apps:

* [Confused Explainer](https://adraffy.github.io/ens-normalize.js/test/confused.html)
* External Apps:
* Related Projects:
* [Recent Registrations](https://raffy.antistupid.com/eth/ens-regs.html)

@@ -25,10 +28,4 @@ * [Emoji Frequency Explorer](https://raffy.antistupid.com/eth/ens-emoji-freq.html)

* [Batch Resolver](https://raffy.antistupid.com/eth/ens-batch-resolver.html)
* [Punycode Coder](https://adraffy.github.io/punycode.js/test/demo.html)
* [Breakdown Reports:](https://adraffy.github.io/ens-norm-tests/test-breakdown/output/)
* [Disallowed Characters](https://adraffy.github.io/ens-norm-tests/test-breakdown/output/disallowed.html)
* [Different Norm](https://adraffy.github.io/ens-norm-tests/test-breakdown/output/diff.html)
* [Illegal Mixtures](https://adraffy.github.io/ens-norm-tests/test-breakdown/output/mixtures.html)
* [Whole-script Confusables](https://adraffy.github.io/ens-norm-tests/test-breakdown/output/wholes.html)
* [Illegal Placement](https://adraffy.github.io/ens-norm-tests/test-breakdown/output/placement.html)
* [Non-spacing Marks](https://adraffy.github.io/ens-norm-tests/test-breakdown/output/nsm.html)
* [Punycode Coder](https://adraffy.github.io/punycode.js/test/demo.html)
* [Label Database](https://github.com/adraffy/ens-labels/)

@@ -38,3 +35,3 @@ ```Javascript

// npm i @adraffy/ens-normalize
// browser: https://cdn.jsdelivr.net/npm/@adraffy/ens-normalize@latest/dist/index.min.js
// browser: https://cdn.jsdelivr.net/npm/@adraffy/ens-normalize@latest/dist/index.min.mjs (or .cjs)

@@ -71,5 +68,5 @@ // *** ALL errors thrown by this library are safe to print ***

// but will normalize fine as fragments
let frag1 = ens_normalize_fragment('AB--'); // error: label ext
let frag2 = ens_normalize_fragment('\u{303}'); // error: leading cm
let frag3 = ens_normalize_fragment('οо'); // error: mixture
let frag1 = ens_normalize_fragment('AB--'); // expected error: label ext
let frag2 = ens_normalize_fragment('\u{303}'); // expected error: leading cm
let frag3 = ens_normalize_fragment('οо'); // expected error: mixture
```

@@ -179,5 +176,6 @@

* [nf-tests.json](./derive/output/nf-tests.json)
* `npm run make` — compress data files from `/derive/output/`
* `npm run make` — compress data files from [/derive/output/](./derive/output/)
* [include-ens.js](./src/include-ens.js)
* [include-nf.js](./src/include-nf.js)
* [include-versions.js](./src/include-versions.js)
* Follow instructions in [/validate/](./validate/) to generate validation tests

@@ -187,3 +185,3 @@ * `npm run validate`

* `npm run test` — perform validation tests
* `npm run build` — create `/dist/`
* `npm run build` — create [/dist/](./dist/)
* `npm run rebuild` — run all the commands above

@@ -197,1 +195,8 @@ * `npm run order` — create optimal group ordering and rebuild again

* `npm run pub` instead of `npm publish`
## Security
* [Build](#build) and compare against [include-versions.js](./src/include-versions.js)
* `spec_hash` — SHA-256 of [spec.json](./derive/output/spec.json) bytes
* `base64_ens_hash` — SHA-256 of [include-ens.js](./src/include-ens.js) base64 literal
* `base64_nf_hash` — SHA-256 of [include-nf.js](./src/include-nf.js) base64 literal
dist/all.js

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dist/index-xnf.cjs

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dist/index-xnf.mjs

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dist/index.cjs

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dist/index.mjs

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