@adraffy/ens-normalize - npm Package Compare versions

Comparing version 1.8.6 to 1.8.8

dist/index.cjs

dist/all.min.js

		@@ -1,1 +0,1 @@
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");const 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"${p(t[A-1])} + ${v([e[0]])}"`)}!function(A){let e=A[0],t=C.get(e);if(t)throw iA(`leading ${t}`);let n=A.length,o=-1;for(let r=1;r<n;r++){e=A[r];let n=C.get(e);if(n){if(o==r)throw iA(`${t} + ${n}`);o=r+1,t=n}}if(o==n)throw iA(`trailing ${t}`)}(n);let e=[...new Set(o)],[r]=function(A){let e=x;for(let t of A){let A=e.filter((A=>A.V.has(t)));if(!A.length)throw e===x?sA(t):gA(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 gA(A,n);if(n>=0)for(let t=1,o=N(e).length;t<o;t++)if(R.has(e[t])){let r=t+1;for(;r<o&&R.has(e[r]);)r++;if(r-t>n)throw new Error(`too many combining marks: ${A.N} "${p(e.slice(t-1,r))}" (${r-t}/${n})`);t=r}}(r,o),function(A,e){let t,n=[];for(let A of e){let e=T.get(A);if(1===e)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}`)}(r,e),A=r.N}else A="Emoji"}else n=[],A="None";r.type=A}catch(A){r.error=A}return r.output=n,r}))}function lA(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 "${v(e)}": ${n}`)}return p(n)})).join(".")}function sA(A){return new Error(`disallowed character: ${$(A)}`)}function gA(A,e){let t=$(e),n=x.find((A=>A.P.has(e)));return n&&(t=`${n.N} ${t}`),new Error(`illegal mixture: ${A.N} + ${t}`)}function iA(A){return new Error(`illegal placement: ${A}`)}function cA(A,e){let t=[],n=[];for(A=A.slice().reverse();A.length;){let o=aA(A);if(o)n.length&&(t.push(e(n)),n=[]),t.push(o);else{let e=A.pop();if(Z.has(e))n.push(e);else{let A=z.get(e);if(A)n.push(...A);else if(!P.has(e))throw sA(e)}}}return n.length&&t.push(e(n)),t}function CA(A){return A.filter((A=>65039!=A))}function aA(A,e){let t,n,o=q,r=[],l=A.length;for(e&&(e.length=0);l;){let s=A[--l];if(o=o.B.find((A=>A.Q.has(s))),!o)break;if(o.S)n=s;else if(o.C&&s===n)break;r.push(s),o.F&&(r.push(65039),l>0&&65039==A[l-1]&&l--),o.V&&(t=fA(r,o),e&&e.push(...A.slice(l).reverse()),A.length=l)}return t}function fA(A,e){let t=X.from(A);return 2==e.V&&t.splice(1,1),t}function BA(){let A=[];return function e(t,n,o){if(t.S)o=n[n.length-1];else if(t.C&&o===n[n.length-1])return;t.F&&n.push(65039),t.V&&A.push(fA(n,t));for(let A of t.B)for(let t of A.Q)e(A,[...n,t],o)}(q,[]),A.sort(w)}function pA(A,{nf:e=!0}={}){let t=B(A).reverse(),n=[],o=[];for(;t.length;){let A=aA(t,n);if(A)o.push({type:"emoji",emoji:A,input:n.slice(),cps:CA(A)});else{let A=t.pop();if(46==A)o.push({type:"stop",cp:A});else if(Z.has(A))o.push({type:"valid",cps:[A]});else if(P.has(A))o.push({type:"ignored",cp:A});else{let e=z.get(A);e?o.push({type:"mapped",cp:A,cps:e.slice()}):o.push({type:"disallowed",cp:A})}}}if(e)for(let A=0,e=-1;A<o.length;A++){let t=o[A];if(wA(t.type))if(QA(t.cps)){let t=A+1;for(let A=t;A<o.length;A++){let{type:e,cps:n}=o[A];if(wA(e)){if(!QA(n))break;t=A+1}else if("ignored"!==e)break}e<0&&(e=A);let n=o.slice(e,t),r=n.flatMap((A=>wA(A.type)?A.cps:[])),l=S(r);w(l,r)?(o.splice(e,t-e,{type:"nfc",input:r,cps:l,tokens0:uA(n),tokens:pA(p(l),{nf:!1})}),A=e):A=t-1,e=-1}else e=A;else"ignored"!==t.type&&(e=-1)}return uA(o)}function wA(A){return"valid"==A\|\|"mapped"==A}function QA(A){return A.some((A=>K.has(A)))}function uA(A){for(let e=0;e<A.length;e++)if("valid"==A[e].type){let t=e+1;for(;t<A.length&&"valid"==A[t].type;)t++;A.splice(e,t-e,{type:"valid",cps:A.slice(e,t).flatMap((A=>A.cps))})}return A}function IA(A){return A.map(a).join(" ")}function EA(){let A=document.createElement("span");return A.classList.add("arrow"),A.innerHTML="➔",A}function dA(A,e){let t=document.createElement("span");return 8205==A?(t.classList.add("mod","zwj"),t.innerText="ZWJ"):8204==A?(t.classList.add("mod","zwj"),t.innerText="ZWNJ"):65039==A?(t.classList.add("mod","dropped","style"),t.innerText="FE0F"):8419==A?(t.classList.add("mod","keycap"),t.innerText="Keycap"):A>=917537&&A<=917630?(t.classList.add("mod","tag"),t.innerText=String.fromCodePoint(A-917504)):917631==A?(t.classList.add("mod","tag","end"),t.innerText="⌫"):!e&&eA(A)?(t.classList.add("code"),t.innerText=a(A)):t.innerText=v([A]),t}function hA(A,e){let t=Object.entries(A).map((([A,e])=>`${A}: ${e}`));return Array.isArray(e)&&t.push(...e),t.join("\n")}function DA(A,{before:e=!1,tld_class:t=!0,components:n=!1,emoji_url:o="https://emojipedia.org/%s",extra:r=(()=>{})}={}){let l=document.createElement("div");return l.classList.add("tokens"),l.append(...A.map(((l,s)=>{let g;switch(l.type){case"emoji":{g=document.createElement(o?"a":"span"),o&&(g.href=o.replace("%s",String.fromCodePoint(...l.emoji)));let A=e?l.input:l.cps;n?g.append(...A.map((A=>dA(A,!0)))):g.innerText=String.fromCodePoint(...l.emoji),g.title=hA({Type:"Emoji",Hex:IA(A),Beautified:IA(l.emoji)},r(l.type,A));break}case"nfc":{g=document.createElement("div");let A=l.tokens0.flatMap((A=>"valid"===A.type?A.cps:A.cp)),t=DA(l.tokens0.flatMap((A=>"valid"===A.type?A.cps.map((A=>({type:"valid",cps:[A]}))):A)),{components:n,before:e,emoji_url:o,extra:r});if(t.title=hA({Type:"NFC (Unnormalized)",Hex:IA(A)},r(l.type,A)),g.append(t),!e){let A=DA(l.tokens,{components:n,emoji_url:o,extra:r});A.title=hA({Type:"NFC (Normalized)",Hex:IA(l.cps)},r(l.type,l.cps)),g.append(EA(),A)}break}case"valid":{g=document.createElement("span");let e=v(l.cps);t&&(1==A.length\|\|s===A.length-1&&"stop"===A[s-1].type)&&/[a-z]/.test(e)&&g.classList.add(e),g.innerText=e,g.title=hA({Type:"Valid",Hex:IA(l.cps)},r(l.type,l.cps));break}case"mapped":{g=document.createElement("div");let A=document.createElement("span");if(A.classList.add("before"),A.innerText=v([l.cp]),A.title=hA({Type:"Mapped (Match)",Hex:a(l.cp)},r(l.type,[l.cp])),g.append(A),!e){let A=document.createElement("span");A.innerText=l.cps.map((A=>v([A]))).join(""),A.title=hA({Type:"Mapped (Replacement)",Hex:IA(l.cps)},r(l.type,l.cps)),g.append(EA(),A)}break}case"stop":case"ignored":case"disallowed":g=dA(l.cp),g.title=hA({Type:l.type,Hex:a(l.cp)},r(l.type,[l.cp]));break;default:throw new TypeError(`unknown token type: ${l.type}`)}return g.classList.add(l.type),g}))),l}function MA(){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.com {\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)}export{w as compare_arrays,DA as dom_from_tokens,oA as ens_beautify,BA as ens_emoji,nA as ens_normalize,tA as ens_normalize_fragment,rA as ens_split,pA as ens_tokenize,B as explode_cp,a as hex_cp,AA as is_combining_mark,S as nfc,N as nfd,f as quote_cp,Q as random_choice,u as random_sample,I as run_tests,v as safe_str_from_cps,eA as should_escape,p as str_from_cps,MA as use_default_style};
		function A(A){return function(A){let e=0;return()=>A[e++]}(function(A){let e=0;function t(){return A[e++]<<8\|A[e++]}let n=t(),o=1,r=[0,1];for(let A=1;A<n;A++)r.push(o+=t());let l=t(),s=e;e+=l;let g=0,i=0;function c(){return 0==g&&(i=i<<8\|A[e++],g=8),i>>--g&1}const C=2*31,a=C>>>1,f=C-1;let B=0;for(let A=0;A<31;A++)B=B<<1\|c();let p=[],w=0,Q=C;for(;;){let A=Math.floor(((B-w+1)o-1)/Q),e=0,t=n;for(;t-e>1;){let n=e+t>>>1;A<r[n]?t=n:e=n}if(0==e)break;p.push(e);let l=w+Math.floor(Qr[e]/o),s=w+Math.floor(Qr[e+1]/o)-1;for(;0==((l^s)&a);)B=B<<1&f\|c(),l=l<<1&f,s=s<<1&f\|1;for(;l&~s&536870912;)B=B&a\|B<<1&f>>>1\|c(),l=l<<1^a,s=(s^a)<<1\|a\|1;w=l,Q=1+s-l}let u=n-4;return p.map((e=>{switch(e-u){case 3:return u+65792+(A[s++]<<16\|A[s++]<<8\|A[s++]);case 2:return u+256+(A[s++]<<8\|A[s++]);case 1:return u+A[s++];default:return e-1}}))}(function(A){let e=[];[..."ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"].forEach(((A,t)=>e[A.charCodeAt(0)]=t));let t=A.length,n=new 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5BwKpoooAEsINGxIAA5oAbcINAAvCp0IIGkICwQionNEPAgfHqUIFAOGCL71txQNPAAPyABXCAAcCAAnCAGmSABrCAA7CCRjCjnAWAgABYgAOcgAuUiUABsIAF8IIKAANUQC6wi0AA8IADqIq8gCyYQAcIgAbwgAB8gqoAAXNCxwV4gAHogBCwgEJAGnCAAuCAB3CAAjCCagABdEAbqYZ3ACYCCgABdEAAUIAB+IAHaIIKAAGoQAJggAbMgBtIgDmwocACGIACEIAFMIDAGkCCSgABtEA45IACUILqA7L+2YAB0IAbqNATwBOAArCCwADQgAJtAM+AAciABmCAAISpwIACiIACkIACgKn8gbCAAkiAAMSABBCBwAUQgARcgAPkgAN8gANwgAZEg0WIgAVQgBuoha6AcIAwQATQgBpMhEA4VIAAkIABFkAF4IFIgAG1wAYwgQlAYIvWQBATAC2DwcUDHkALzF3AasMCGUCcyoTBgQQDnZSc2YxkCYFhxsFaTQ9A6gKuwYI3wAdAwIKdQF9eU5ZGygDVgIcRQEzBgp6TcSCWYFHADAAOAgAAgAAAFoR4gCClzMBMgB97BQYOU0IUQBeDAAIVwEOkdMAf0IEJ6wAYQDdHACcbz4mkgDUcrgA1tsBHQ/JfHoiH10kENgBj5eyKVpaVE8ZQ8mQAAAAhiM+RzAy5xieVgB5ATAsNylJIBYDN1wE/sz1AFJs4wBxAngCRhGBOs54NTXcAgEMFxkmCxsOsrMAAAMCBAICABnRAgAqAQAFBQUFBQUEBAQEBAQDBAUGBwgDBAQEBAMBASEAigCNAJI8AOcAuADZAKFDAL8ArwCqAKUA6wCjANcAoADkAQUBAADEAH4AXwDPANEBAADbAO8AjQCmAS4A5wDcANkKAAgOMTrZ2dnZu8Xh0tXTSDccAU8BWTRMAVcBZgFlAVgBSVBISm0SAVAaDA8KOT0SDQAmEyosLjE9Pz9CQkJDRBNFBSNWVlZWWFhXWC5ZWlxbWyJiZmZlZ2Ypa211dHd3d3d3d3l5eXl5eXl5eXl5e3t8e3phAEPxAEgAmQB3ADEAZfcAjQBWAFYANgJz7gCKAAT39wBjAJLxAJ4ATgBhAGP+/q8AhACEAGgAVQCwACMAtQCCAj0CQAD7AOYA/QD9AOcA/gDoAOgA5wDlAC4CeAFQAT8BPQFTAT0BPQE9ATgBNwE3ATcBGwFXFgAwDwcAAFIeER0KHB0VAI0AlQClAFAAaR8CMAB1AG4AlgMSAyQxAx5IRU4wAJACTgDGAlYCoQC/ApMCkwKTApMCkwKTAogCkwKTApMCkwKTApMCkgKSApUCnQKUApMCkwKRApECkQKQAnIB0QKUApoCkwKTApIbfhACAPsKA5oCXgI3HAFRFToC3RYPMBgBSzwYUpYBeKlBAWZeAQIDPEwBAwCWMB4flnEAMGcAcAA1AJADm8yS8LWLYQzBMhXJARgIpNx7MQsEKmEBuQDkhYeGhYeFiImJhYqNi4WMj42HjomPiZCFkYWShZORlIWVhZaJl4WYhZmFmoWbipyPnYmehQCJK6cAigRCBD8EQQREBEIESARFBEAERgRIBEcEQwRFBEgAqgOOANBYANYCEwD9YQD9ASAA/QD7APsA/AD72wOLKmzFAP0A+wD7APwA+yMAkGEA/QCQASAA/QCQAvMA/QCQ2wOLKmzFIwD+YQEgAP0A/QD7APsA/AD7AP4A+wD7APwA+9sDiypsxSMAkGEBIAD9AJAA/QCQAvMA/QCQ2wOLKmzFIwJKAT0CUQFAAlLIA6UC8wOl2wOLKmzFIwCQYQEgA6UAkAOlAJAC8wOlAJDbA4sqbMUjBDcAkAQ4AJANlDh0JwEzAJAHRXUKKgEEAM1hCQBbYQAFGjkJAJAJRN8AUAkAkAkAnW0/6mOd3brkH5dB9mNQ/eNThoJ1CP8EZzy46pMulzRpOAZDJDXL2yXaVtAh1MxM82zfnsL/FXSaOaxJlgv345IW0Dfon3fzkx0WByY6wfCroENsWq/bORcfBvtlWbGzP5ju+gqE1DjyFssbkkSeqLAdrCkLOfItA7XNe1PctDPFKoNd/aZ6IQq6JTB6IrDBZ5/nJIbTHMeaaIWRoDvc42ORs9KtvcQWZd+Nv1D2C/hrzaOrFUjpItLWRI4x3GmzQqZbVH5LoCEJpk3hzt1pmM7bPitwOPG8gTKLVFszSrDZyLmfq8LkwkSUhIQlN4nFJUEhU2N7NBTOGk4Y2q9A2M7ps8jcevOKfycp9u3DyCe9hCt7i5HV8U5pm5LnVnKnyzbIyAN/LU4aqT3JK+e9JsdusAsUCgAuCnc4IwbgPBg4EPGOv5gR8D+96c8fLb09f7L6ON2k+Zxe/Y0AYoZIZ8yuu1At7f70iuSFoFmyPpwDU/4lQ+mHkFmq/CwtE7A979KNdD8zaHSx4HoxWsM8vl+2brNxN0QtIUvOfNGAYyv1R5DaM1JAR0C+Ugp6/cNq4pUDyDPKJjFeP4/L1TBoOJak3PVlmDCi/1oF8k1mnzTCz15BdAvmFjQrjide74m2NW1NG/qRrzhbNwwejlhnPfRn4mIfYmXzj5Fbu3C2TUpnYg+djp65dxZJ8XhwUqJ8JYrrR4WtrHKdKjz0i77K+QitukOAZSfFIwvBr1GKYpSukYTqF4gNtgaNDqh78ZDH4Qerglo3VpTLT0wOglaX6bDNhfs04jHVcMfCHwIb+y5bAaBvh2RARFYEjxjr1xTfU09JEjdY1vfcPrPVmnBBSDPj9TcZ1V/Dz8fvy0WLWZM0JPbRL0hLSPeVoC8hgQIGaeE6AYVZnnqm62/wt00pDl5Nw/nDo+bF1tC4qo5DryXVn8ffL3kuT51e+VcBTGiibvP+vqX50dppfxyNORSr48S5WXV8fzcsgjRQH6zjl+nuUYFVloiEnZOPDpHD/7ILh3JuFCdvAi2ANXYXjTDA5Up6YLihbc7d+dBlI9+mdgr8m8+3/Dp26W/Jssn7b9/pOEP4i+/9TsPI9m2NfNKwEI35mqKV+HpZ+W69Y8sM/sIA9Ltvhd+evQTUUfSkYxki28/CBT0cT96HrlrSrE+V9RzhskX0CsDsCfHffBVybkxmHOFOgaUurWNQ2AcZbi1WjkZzYArWZBHFd1SYwtqQ0DIZt7OV40ewQxCr/LgxAc8dLJeAJFseWJq9XiOp21hLv/HhsFbYbg3zCR8JmonZjhuKYrS/KJc30vnOL2CM+GfogNWug2DstZPzauCNeeD8zlP8wxPyfLHYQB/J+wQE3aDpXH/5tdIQpLn3JXNJYZFiXInGB7FqxRxHYJ/re/lHprE5sngUMm11uOIA3bbtkk06I8DYxuwPD+e4sAeNfor0DkWmiCQFiNptkmiD2xGO1kIKGr/Tuu4bHe6z2NaS7Ih0c+Gpv+QbLY9ea122BXNSitM41sxUSlnWl+uJBIFoLqt66v/VfGIQos2lzhOOLDuScVxcyrqH3/FI4vaYB0b8gFHLXtxyX/9JpUCYNwlLZ1v5CeB99l0F795R5wl5UHRq1OYyKqsoIY07wJz2CT0TOf5/JRBPtJIIk5pOJ60SHayS9kMSKbI3fLLYztsY3B4MlSyoEfc9gL4yJVrPo+OGGunCK4p15UbCArJP/PQgUWDW4l+2P/tCqRRy2flIZL/nVeY/vyAfILUM5qEGfcFXXXrAit7skwDEFnD7mL1ATtyrz7HcodhzP7gShFhazIPm7X0+mTCeSWfrOr5WcvJfip19JRRLfXjuQpQjcNCuXo8kqkxQ68ukJQoxlnfjevc0WcKnGpUvyY54eJTS1IRWDqfHANukJLw56ts5yS6Nea7IrL6/78aKmZsch4Q694ujxgx5+0PhlGpzWimajpvkBOOUQlHLkJorzqu4e768L9nJtZWYturb7dsBxjzlNhd/gZcBuRgIUSdgZjg7Rx+f/zLcs4mAa3qDbJNUQVNbSg+dm0L3KH1uhesTPaErVYjZ8Isvfr+zfiX3DT0PlaOv+hdGvLUIlKSEcYHPMs0NtTGzyqMe74yciNFdAVZVzol/XtLsEqivKqfW7zWTCNCvZkPnnBlMv3UHW5RNNEJfuyR3MvYH/9E6gcts5GAwKIgCaBQ+V2Eh9O0IJkxFksPI1V9obqDKCpmPM55mLd+VQgRqgD+9XvsUxjbh/AXXPxOpc0FXFyJzc85aa1VQZa90LAWR4oinrBaOBr8DymCpFbdXMTn7Cv18S0hMR7T/o5VkRqN1g1/dvaDdZsRArO3bopkfee4efLF+hyVdcX4u3aNGTkWvLRafW+sXPktA1lla4UkSB7uJIULfxy/RAflk2miyw9xq9uVGgCNzqCv4iX+AUchfMkZdEgRZ9TZ+1CPTH2jXjMXjFl/+bEPzSjM7zPKKWhyZUgQG1lpp+DNz+Zz+85kD59q99U5R4B3vuI9WenCWqroy2U2Ruq6I+di5N/v9SmYnqJ5H1HLWCbIg6iVrn3s2gFBVFhrc1zzNqoFe275K3Jy1T0Mc5yeE1iRwO2b1L/j/S8jyvGDz6B3NMFEHErGHMM2+oJ5LobazyWEitdgMjQnsd0cjYrCqRpx8idpfwRq6hz/LleX6obpuJh/AGIu4sxD35hwkIEr5ShH8xro7tTDYK1GPHGylK6rp7NCG0lMr7YqwziMUBwXv0zPW667f3/IRLJRD7mkuwUP6mpkxyVjNlcBiAX12r//+WTuzWxsue7bsjRp7xFjpR2tRLqGHLvjYt3TpeybR82K61iLn+pOSWDfUv/HU8ecBtML+Gbz0v9vmlxSgZeBBzbGeP1KSqsH14ZM2kibgDhbS21hIALSOYFCE9LY+2CNvtzT2QuSJMiKP3zwvvs+/JkDwTg0jHVE0XH//U0nu5HKQtCL2KGDQYUgT7qIMVN/OoWqEz1oeG4wG7InZg47NE7rfHB2i7rkpYCUzaPfVtDYgTEPNpa8gXHI2Pp8A6YB8OYHkXDZMMcOL3rJD0Hxk+mRlsSJ12/7T52IcFst5zRc7uDJtQTXBdm9GvsvyXcBbMfKXWqsDSeEnFyPUXZGTafti4a0it8SN1qXxzBmzj+gVZ/FojNy+x73AuuqtJ/oaMZF6m5kbW6ItpfnUT/BrQunS+gLjTTUz0d8jTMpAfFQ40RQi9uM5qdFYzqk85hqSH1zsPOhiO5CN+hNZvL/RIs7m7LyLDuV80ZtyHHqVEngTVPBctHQhmcPjM30m1veDmHCXEpjybWAbgj3TqLUPNazzdHgxYmNuT7trWFcGOi7iTeL5YeK2yp2H98yoLN+skqhffZI/5n/ivceo44wJRY8bzC6DGwdgkMOulYhzW5m6OKyK2Mg+E3YE19L8ngE08TdAuNu0mIzd6kw0i03zzm4oqfVSZjZyxXnBhvt0v89EmnArya/UvHQrdQxBDAJagK2y+OqgBqzQ4FnUeiKfb7HFoUvFSknWhwq58TpBlVRZ0B0A7QWz7X4GLHcbdh5kFI/PKJ91OEh/kmnMEdh+Z23myFH8sXjR/KaHttrpz80N+bl0HM17RX48UjUWslrYHYW7oiHVgcGqTBoTrqK4JYwTTArFO1/APJ8DnEYf+wD92Dw15a9wrPxyJA88yYcv9RypzXLKAWmMuE0KAtIGjfKx1GbRQIq0AkttuRpBO7p4SGrTZuAOat3hTxXEcIKh3HgC1d88K7bz1+Jsi+y7tL/7zc0ZxCBB3hSxvP90GkUp1Lm2wuESafZyFy4Opir+o3gMWtDSuLF3LRHXTUGkKQtvARnwam8BuKv8Q2fHH/cEwPCQd3dhzgri8eTezRsQoGz6ha+S4E7ZzDB/LXwl04vA70NeVsf5rmv1TLvcQSNIBk3U6Qh6Bm+0905B91hopTLnTJRWZkUmbckEw0woG81azyw6LZaBL5Qx2HPvd3LHGLpN6mPZlto50NwW2zFOkgoPKV1gr142teD9aok2HNkPMepl3NIi78ShnAlJCzjZplteUoqz0+iUEOym1LZGGFHMBkc6/5f+sRCCFZZW6KrEby64o/ZfefQAPP6b5ko2fuujIv7uonIKXN6XiJsZmcOeGxteQ+b/ope3Z1HFeXYoW1AJrU/OiCpsyQP1Pr1BdQKFzS0oYnLCAweSnIh7qMFMRBMY7BcnJ5oskUbbRNiosqMzCYUAZPbo8tjCCsCBm5SoGcTHBMXcE+yQpl/OfBkcTw3oa4X7V+ohEh/Zkcv0cqc8sY40IsOW6lLiIrvYND/exZbRlOMgaHvb/QQKaY0k6Aamee2o3LVARCbIP4RoSd7u3CXkG+Iz6iFLfsN38F9xU4n3ueeVgiRs3jw70SMWu1QzDdiLsKtU1qvaLhv7dUbnLimdqYG+pa2aRZ8A6Q9JSr3yTs1MiAvfFHPQJTiqpI/hVUMmL6gPj6eL7lH0IkLCNcaogBA0TGfO0wO6ddf8Fju0L3YbRrWe8J3IewsNBCbpC2b6etQRJnSGLuWDiFoBez9hJHw6+bMQQGQS8YV/kzQ5AFHEqPaMgOjyR5zaHtlOBI4mjo8gdNItHUHQ7Bzq/E/xV1B+L0uoRcLIEj4hcv0yWQTwWLHzoFrvEZPygABpc4rnVjhfcBw5wOvaVVtgiG5qjklrTY1ZaXHkasyVYBd+lgo6zEHMumfK8XR2eD0cVn5w8l1uxGz2ACwtFob/CTV/TUx1kCKp+QROanLrNBiSPTxAf1eOFE+JifgAJ+pyrFqS/0wKlPWUVKlB2Bhu1Ggx2cvfdiR49VIsgBNnE75pf5lpFaQuz8+VPreUd/HLlW8kDSr25AnETsVRrOycLBPYD9/j/7Z0KKdOjtrM71AT+VsjD3D97aUDP5WrHp1DWghsk/lS/hp2VMwo0eqoEerLL/4/SlmyjStwWVDqF6jHC89niCwr1tMSe8GxeC9wjzMKmE7ZtdHOWqqc1OoTI24eVQc++crbyxSU4TxiB+vWoaAUpYQxZ06KKIPq6EvN/rN4DZ0/tQWYVqZ3FTIftPBfIuOWX3PonIKTUArpSvfmQRpkWD00wc3AQS98i4ZYaUbI+DGv90tuEKRjb2ocfdddC21YGUATYQmzelz7JqWBAQqKrWYdWEJlfPeRFZHtUm2MaISZsoOvURowxJKveGRegmBiKZ3d1cMFioJL33RoIKT0eDeK8FH/ybAhZU5TQIsWYmjyeT7EOLL5xZuRPf4qRIo6bbLtFOV6SX60fR8Smys/u1D5DjkmHJyr/woVAvBP2dxGo9gH1LgIm8XlFF1KSYvfj+0w7aTEfoFpcO+Jv3Ssbv8wwkED5JEC+jdln2dzToPNRtWiPbRb8f8G4aZX1j/2Vdbu7jM3gAVD5BKR+yJaOwLtwJodwjWu5di47tnNs9ahpnCUzVMObQfbTqMNs64MGANlgyihKjhwZ6p1Jsnro0/SfkOk6wx+HgUB6Mz9cUiF7KrJkhxnOVjCCcqPZglIojIRoDtkd2AkLNZC88GdP2qZV/1N6PBAe+fpgWZ36oHnewQ8CHdXcxbwQVjOn8U3qD9+e7FzWpg135vgdEMZ9fH5agDnNzdjKFZQ4tDsJs/S6Lk8FqjFJpHMjaRU6FI/DBDM0g+RRkxNoUvm14JAn5dgd6aVHt1aMkSXiJVenbm2FfrIEaFKHtm1erv1BJ5056ULL8AMGLmHav4yxg6F6n5oBq7bdP6zEr6f+QTDJ/KE1XfoG24JvVk2GL7Fb+me27otVFnq1e/2wEuqv6X+2zLQuJQszy5YJi/M5888fMy34L6z8ykD5sCHgzliAoAtEeoaFmnPT63kOYrZWspxYzqQBu/QKNyQ8e4QwKJUCVazmIUp6/zpLA3bWH2ch7QZN0rzWGxMRl3K1osWeETxL95TZSG/atM8LB9B92/71+g9UGWDPfD+lu/KdOQ85rocuHe91/gHA/iprG9PZ2juX49kaRxZ+1/sB3Ck35eWYBFsmCl0wC4QZWX5c5QMuSAEz1CJj0JWArSReV4D/vrgLw+EyhBB6aA4+B34PdlDaTLpm9q9Pkl+bzVWrSO+7uVrIECzsvk8RcmfmNSJretRcoI7ZcIfAqwciU9nJ8O4u1EgkcMOzC/MM2l6OYZRrGcqXCitp4LPXruVPzeD402JGV9grZyz9wJolMLC/YCcWs9CjiWv+DNRLaoSgD5M8T4PzmG8cXYM4jPo5SG1wY3QK/4wzVPrc33wI+AcGI//yXgvyBjocGrl768DMaYCGglwIit4r6t6ulwhwHJ4KeV3VHjspXXG4DIlDR2HNFvPaqkBViIvr433qZPuUINp6oi1LyVVC+EE1j6+wab8uPMeAo6e9uWYequvZynhnYazrvrDQJVkK3KZRoSR5BHi6vOC+AVCujMiQ1GVzGDZ4RFv8jFm7z5CU0iPH2JeXqUzqaKKP4P7osPkcIL99Y7fP3l+TzeFXO2kSpLIJW51oEY8DRIhqexGnxj0nmtGOseStuViIE2mJge45LENf77xjuI7egRNpzthNiajnuqikg0aQS1JqlIZf+hwSUlOp8BEQ0y3xiTOJkohBP3eyYiPDlZpFY88EWOpp4+hC/tQdhrQ56h2VJ2XA6vhPAbj+wH6iA2XYuTvRV25N8wNPQuA0Vzzem2ADZPFK2vr8l0I3GTV3fUN4S6FFYygW2Pu98f+lsgPf67rwVCbgMFAACW3P10GbxnK3SNuNK+VlPRiL7U3dK1o3spH/MFfDkgXuXjxDTxJrYctqHdwUg4rhUCNA13lGjuhJDatpFb/mExsBWS46aLFtROqVm8xQNPXK6A2rRfazJSWpIyh+FMmorXPXYnHQ7YLOmD4B5QTI8rzp7OomiarnaFs5syYjQ0ucc7g1/JzT446IFlDtpUL7DP9bLRCLJryUvi5R71/qX7ycqRSwunQ7+tfJz44Na3aJNszaMEZ/BV4iOGopabYdmvAPe+kIdGCNq5Q8fg8Ld0VNNXV0ZiiGej7zSA+pexy6wKC5k4rZa0k+qaN8bKq3oJWMQCSGaK7PrwMvA8t8BZTzjDqXcFTAIeRtl0SdlGSuAziVXItFcgAkeqwuNsbsrUZFcU6KUZLmvG415kHa0AwMFW2cNSUvPR0U9iCPh0nyslT92B5slYXiDWeSXvxHXItvjI8z5KCIVTIHqGZsbDBTr7WdHzcUAI1ipR86H3o0p2wPhfp7xg9oWOxWIK4a5BWdaV9OAPc0XuvlbwitCVtZDzZxGhIOl77ZgrRYR7LZQFE+Ih23hW3gI914ekkjgbKCi2bsqSAvij6GGj5p+k6evQtJp3qVh9vg+jiJvFCGcKBCITMWpqHZNKfE6IT0dKntS0rhu0DB5D9qIS0/RboNLsx2DlRMlx1QIBeBpHJNKdCL9uWM9eS7RJXKNOpraULtutuJYOl0apdE4LxfsyRSZb6fJkd51SHrI7lLB4vEg4fifJ1dqcWSeY4DgcyjrUcymK+gd3o+qj+3gHKWlLVdMUr3IeF8aClYBq+eeCV9Y7n1Ye8yL7rEvxY7jAlLwucKQ51pu59N8we8XwrbXPChBHXP4LnD3kDwQ85w1DKghtwvpO609fZOrPq8Q7GOOAjHhfR5VqvpoFne8oMHbCrWb1L0IdATo+h1PFeLLI8wc+FEyftLvskCdOtxKfAx3IEJXzBfWTKq5viKP/uu99dxnEpoNJhRtjSZGwOTWr7Ys44++P58O+nkYxd1Gcqm8G3Gh7AHSCxiPNyJWijI/lECrKrAXgBqkRShvdkd7IfoqUlziFDiglx+jdHnmRVmGnk3p/3n78M/HkzFUGZOS07cPnPn9jAnBWl4qDrB1ECf9idIKOdkJTKcZ690nuLW2yDsqwNpgrlT+wx2gv+Engha74lfVqbwqS15FRwuFDfq3bVCZcPy78TL2pH/DOdHeL9MFAtyybQNwHaO781rnJZAhR4M+AYWoSoa0EjQ99xivreM+FKwd7Jp/FC2vvvcq1z3RnRau/BM5KGkBPBSUBOzTNdfaJS/PWTDb1jRSgn2MuY3pVZbY9peHBVI3Ce/u70hg4f7MCVeAjYJfzTkDVLuB6jyjZs5Kko3u39ozgLK4LuwSbUrNIU5cl6Bs3De62AE084XRsm64Gs5W1ofxsWIZ9cYl8PNa5zQHl9ls5aiIKN0rHIIzBnLr03Kle2qq+n/gLDAzvF89vdZCvUFEHRoi9n33O3i49UWyeHP+ZAeRf+psM867nfqON092zE4Pj7AbLtvIUFJFr1y9Le0CL2flc7LUqbgGzOw4/q3vA/cJO5JeI8S+8bc1Y7pqYSzoEWSFn5G7EoPHTGHPMU6SeLKEeli+i8dHY3lWxSrIOU2y0TNo1SeRYewhVx05OXeVDf0xhHNckqp0arRk+bgToeSaHbVZ5nj3IH3m2oayt3sXY78qSPcDpc/5C7VXDRj6bROvvBG5JCsKl/yeMPAUn1flMsmr/FaFdb7gVUXnhLa+/Ilj87PpCC6rILQ6wkIP1ywEg0PztSEzbsJoRwQzDaxkiTN27YDnsy/YKfe6jKcqZWs64skzUAHIt+nXxju0dUVtbCSDAUXYw78Yd4bJKuYU8gbzLzgL4XIUC2HcPIVCUYvM7cybOBFVBdeGR4cOVB7QbGnohTRpiPrGqi1a8QXFBYqENawROuR43OG8dl+Jx4TpwAoi2kkPXW7b/ARSs4DO/z4H6oTIUpN3+/K6Iuc49C4/Uf1NxQTEE91VP8RnLKTpxjywMe2VxM1l4YGXSFY80HUAKIdqczBnnLMPklFV8mrr5hFDypn5TAT00ruU6AjDPNvncoVzX4ac6wAzTwrNH7oz1XLH1wzjQs5k7hcNLbznXQGB7M+rXxKtZXPrz1Ar+OxYGDkJvElknZsHD/IcxRd7ujmmLYpDDbverynroCnSKVQWEGjHL57PaI/WokvhYRpPMk4ni2EUhjDuIF+IU2R0fs40i+66bw8sz8OzyC2eFAxxicd2n5Juta2eWa9KtObD7xLmPvtK+8cjQt+NLjcZCTt+Ss9p1od0bklVgaIV1qJbWxUOr6iUzLDzFefYxAtyRcBr53IaDB25n60KQdhroQWMUpuWSUpELSFxiu4vgQeRoEZe78/ua3TlrszB8sLVZoecnV9YMYz+HkZA/pLqbFhzurB52Wl/WEM6sVk4q04OnzWZFi76JkcGgeeUyYUIwhCDMdIfTUdD4wQpYm3LBw0sp33CVK2q305jeyzgGnBzSMXjesm4XjcEhhrjPSLtwqqoaFCqD5DlHYhoTVafWtBUQXoNfDk19IFxq8sImCcqgMhOToIZUO2530aasY908dMX2nTMFjgv+lapdI8k/e0a7pFw6X3Tgf0m99bbCpOzVgRu2Dw/13CehVfFj+8BeKP6SZV4g/qiX42NWP568PzMajFm2ANmKtHjEIAIc2hc1iecBR9elGP4LmAQwAVmZT8kWc7JSY0ag583ch/Z16krGrjn2YdIaa22egy4/niU6m0WAG3K/yP65cfL//CP+JzcnoLHQFb/KJQeBrEbR1/IKo+YOFXWIQ8ghNxYdMwa49NeXzFqFOIXTmk3w/v5KneS8sGHiPGACh0DE9a1uLAochB79g3IqYObhlswemMucZnAE7dBkp5OAfToa5gHFbIPcec0fVWEOOLftQXsuffyv3wo1LWDDm+SyNMWgSEWtjMyYkjLjTkUtmj7DQlfbpHf38lDvoEN9d2ALxnWCjph4jvfEIRbHvltKbvE2BiYlz45mnJPeFrwZcBny3k0/pyXNrSbEIWvvZw14Y0Fqy4tba1Fu0yNNYaf47jfnz7VCCxKsrJz5oz3F8jXUdQqFu+gDq6EzvKDipXf/3NmcsCC74VB3OgHPgN7W9cU54pjGFDMfifl3m5Vhy21uk1U2nYCrddrifkpwGLYmLSSQAAjC6M3yB1fc6KHpgDnMXh2bYX2ns+Qma+DBgyCkZ0TqZK8Mp2Sryx7HdMM74X9hrwYhQbwlK+zgATAXRzQyS+hK4OTnP17/cyJ2WzY6DChYWGJYXGCnEdMswF5VTYQdSyTpdLXYuh+x2Qr7DR3H2x+YdP0qsLAzYJIWKwrrKkpBgWCmgNCn5t+QbWqf/LoLuvjgDFLtMoxNK5axIA9kammelvwh5ZI52ktrEm/OVEESPQPZGHAIhP7oWDBnGnuzG45XOTpZWsxwNO4UiyxH8riTvQq4JVq5GwX3yqVCbSR0ef/gVYDgiYaiD2EAAxuEPKyXTp/HhL96eVTpaDqFEoV2x1PP/UMcs/XqeGc1gZQG1ot6YxaIEWHanYavH9YdLFjlyU5yrYALVg/sxBjT39oD+BIXvf4LTbvvvpX3srxckEX1XAM9s2uajUTlpPq32mcx4T+sibdQEHQV2WmgwMhbYovh7WWTPfLF03ZbV5a+ElsSIyH6kgJ8+D6aN/6f+ZstkZOYZYx9GbagcrEqwNblz0iZ9NTyvIAeNn3Oup7rtyD4wVE0PoqcnR/LoSK1s1esmOGPjs3zHB8xW4iL8IrhqAJfsWNBYW9TGR11C3KZJaN7MP4O5Ykmpvw94hHzVmsYA68RQdFYfPlFOgCNBoSdy5ODcv11l9bLs135M4okEc4/e8hQczcz2PWipIVSBxa/5sr9xyTFbjG4xm8f4LmrAhD1uEDGrFDl/6X7Nw7/WZPW7fZJGYN8eZ68Td5KGfJyKjD+pTysvTi+8Q8R0L9wKAxAUrYswdvAuiNeenxSplQZjYTxbcH/wP97fOY215SozY3UDRhv7lomztURB2O2UriTX3oAiTKoInkHQietZyhBQ9wMTVHgMrxOP5T/0gN14eFTz0m2D6/iJMbXYGHdIkKEGV2Voa8k/hVNvAVAZKrDEXthUxotwYkYysTDk8j27XEVy+4a30jopuAp5+/xWYb0ne6lwKZwR3j6kDXroOOtrHqWlkJHSWLoPEQJQo/ARzR8UBZSckmeBPn3gJwY62Zo2dyy1AyRRDQBFAJKH9KX+7auP8U8XDo7mMSzq5ZxmaJ5bLpNg4ZM7938SAjMHcu1yB4+lkHnVLnIp86AOPgigH+ZFDRq1QuKWK3pK5JkLDJdakj176NCbjXDASt1h/t1p+GHyKbAoevHSnHuPfoBmQ3nJrDjOhPfwVYi8V5r0KB8BsrfFu8BvhYCbNrvCVnd4Q8RktqIR/ZilioC6g3++L7PHzuXa8NFSF5zd+ISzGLTjrfaKXsBFCkkK0ksSDbl91yXUghMFOskQBeUoo7o3wuIsE29goRIORuJ4b1jSumvR0gR8B21iyW1G4FqHkZOlWz9zq5FnaJX1WbeAxe2DfGSAnw4cqDwg3LFalk6eH89Sdc41Fr6voEa0hfwdkb54yOM7WevDugT1FRzEqdg9zZZ44ZAKGH3ZyqFve3SE4UDN6tLmIFTdIwMrtYRXWBQDB7vvqOuYj7cN31av64+jg/g1uce+am3TOl0cUUL6s0l35FJ9p8vJcG+G8lAFqC0pdmd/aaWYpqDLvB5LEasLMgbPN2N+Wvkh6HYxPOrZEfoxQX/67AzcWOR0K3eYGOgQhyWL7cwKGlxmY/E2b8CKi6Ssgok+7B+zTtq/DXmaDAHRnwbwvCDJ9pITO5RQgBuprEWT0avZv7QjbzITYD8Fzgy4TSYG3z9tLso0Z7MfgHDLKU+kHrzxWkBPwJRydKMXG4AaCA7mlAmjzpNhGOrMGZGZlHSjPbmO5jPd/lKBrViZ0BaXMmqaFOwA/f03O04qQX6MSVA37+SA5Pne/KP7caLJKuOCJXoXpzArUrYesMVc/RXnOv03YrwKgPlR2SjpqIycyulmodZBy6gVc1jA9y6lJqWgR6SY6tc24sVcYuh2GaTeikYJnhr2d6BiL3oLx8M8wuJBdI3FRVIIAx4XougScOw2xWgwUoSYKeLUHc310kVBzSE/vFeHAjlUil8KZftctMgwGjwrhMbjDbK4rB32fTe9jnsqijdp5kOwkD9+klel+lNh3joAFQ");const 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e=t[A];if(!e.is_emoji&&R.has(e[0]))throw iA(`emoji + combining mark: "${p(t[A-1])} + ${X([e[0]])}"`)}!function(A){let e=A[0],t=C.get(e);if(t)throw iA(`leading ${t}`);let n=A.length,o=-1;for(let r=1;r<n;r++){e=A[r];let n=C.get(e);if(n){if(o==r)throw iA(`${t} + ${n}`);o=r+1,t=n}}if(o==n)throw iA(`trailing ${t}`)}(n);let e=[...new Set(o)],[r]=function(A){let e=x;for(let t of A){let A=e.filter((A=>A.V.has(t)));if(!A.length)throw e===x?sA(t):gA(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 gA(A,n);if(n>=0)for(let t=1,o=S(e).length;t<o;t++)if(R.has(e[t])){let r=t+1;for(;r<o&&R.has(e[r]);)r++;if(r-t>n)throw new Error(`too many combining marks: ${A.N} "${p(e.slice(t-1,r))}" (${r-t}/${n})`);t=r}}(r,o),function(A,e){let t,n=[];for(let A of e){let e=T.get(A);if(1===e)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}`)}(r,e),A=r.N}else A="Emoji"}r.type=A}catch(A){r.error=A}return r.output=n,r}))}function lA(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 "${X(e)}": ${n}`)}return p(n)})).join(".")}function sA(A){return new Error(`disallowed character: ${$(A)}`)}function gA(A,e){let t=$(e),n=x.find((A=>A.P.has(e)));return n&&(t=`${n.N} ${t}`),new Error(`illegal mixture: ${A.N} + ${t}`)}function iA(A){return new Error(`illegal placement: ${A}`)}function cA(A,e){let t=[],n=[];for(A=A.slice().reverse();A.length;){let o=aA(A);if(o)n.length&&(t.push(e(n)),n=[]),t.push(o);else{let e=A.pop();if(Z.has(e))n.push(e);else{let A=z.get(e);if(A)n.push(...A);else if(!P.has(e))throw sA(e)}}}return n.length&&t.push(e(n)),t}function CA(A){return A.filter((A=>65039!=A))}function aA(A,e){let t,n,o=q,r=[],l=A.length;for(e&&(e.length=0);l;){let s=A[--l];if(o=o.B.find((A=>A.Q.has(s))),!o)break;if(o.S)n=s;else if(o.C&&s===n)break;r.push(s),o.F&&(r.push(65039),l>0&&65039==A[l-1]&&l--),o.V&&(t=fA(r,o),e&&e.push(...A.slice(l).reverse()),A.length=l)}return t}function fA(A,e){let t=v.from(A);return 2==e.V&&t.splice(1,1),t}function BA(){let A=[];return function e(t,n,o){if(t.S)o=n[n.length-1];else if(t.C&&o===n[n.length-1])return;t.F&&n.push(65039),t.V&&A.push(fA(n,t));for(let A of t.B)for(let t of A.Q)e(A,[...n,t],o)}(q,[]),A.sort(w)}function pA(A,{nf:e=!0}={}){let t=B(A).reverse(),n=[],o=[];for(;t.length;){let A=aA(t,n);if(A)o.push({type:"emoji",emoji:A,input:n.slice(),cps:CA(A)});else{let A=t.pop();if(46==A)o.push({type:"stop",cp:A});else if(Z.has(A))o.push({type:"valid",cps:[A]});else if(P.has(A))o.push({type:"ignored",cp:A});else{let e=z.get(A);e?o.push({type:"mapped",cp:A,cps:e.slice()}):o.push({type:"disallowed",cp:A})}}}if(e)for(let A=0,e=-1;A<o.length;A++){let t=o[A];if(wA(t.type))if(QA(t.cps)){let t=A+1;for(let A=t;A<o.length;A++){let{type:e,cps:n}=o[A];if(wA(e)){if(!QA(n))break;t=A+1}else if("ignored"!==e)break}e<0&&(e=A);let n=o.slice(e,t),r=n.flatMap((A=>wA(A.type)?A.cps:[])),l=N(r);w(l,r)?(o.splice(e,t-e,{type:"nfc",input:r,cps:l,tokens0:uA(n),tokens:pA(p(l),{nf:!1})}),A=e):A=t-1,e=-1}else e=A;else"ignored"!==t.type&&(e=-1)}return uA(o)}function wA(A){return"valid"==A\|\|"mapped"==A}function QA(A){return A.some((A=>K.has(A)))}function uA(A){for(let e=0;e<A.length;e++)if("valid"==A[e].type){let t=e+1;for(;t<A.length&&"valid"==A[t].type;)t++;A.splice(e,t-e,{type:"valid",cps:A.slice(e,t).flatMap((A=>A.cps))})}return A}function IA(A){return A.map(a).join(" ")}function dA(){let A=document.createElement("span");return A.classList.add("arrow"),A.innerHTML="➔",A}function EA(A,e){let t=document.createElement("span");return 8205==A?(t.classList.add("mod","zwj"),t.innerText="ZWJ"):8204==A?(t.classList.add("mod","zwj"),t.innerText="ZWNJ"):65039==A?(t.classList.add("mod","dropped","style"),t.innerText="FE0F"):8419==A?(t.classList.add("mod","keycap"),t.innerText="Keycap"):A>=917537&&A<=917630?(t.classList.add("mod","tag"),t.innerText=String.fromCodePoint(A-917504)):917631==A?(t.classList.add("mod","tag","end"),t.innerText="⌫"):!e&&eA(A)?(t.classList.add("code"),t.innerText=a(A)):t.innerText=X([A]),t}function hA(A,e){let t=Object.entries(A).map((([A,e])=>`${A}: ${e}`));return Array.isArray(e)&&t.push(...e),t.join("\n")}function DA(A,{before:e=!1,tld_class:t=!0,components:n=!1,emoji_url:o="https://emojipedia.org/%s",extra:r=(()=>{})}={}){let l=document.createElement("div");return l.classList.add("tokens"),l.append(...A.map(((l,s)=>{let g;switch(l.type){case"emoji":{g=document.createElement(o?"a":"span"),o&&(g.href=o.replace("%s",String.fromCodePoint(...l.emoji)));let A=e?l.input:l.cps;n?g.append(...A.map((A=>EA(A,!0)))):g.innerText=String.fromCodePoint(...l.emoji),g.title=hA({Type:"Emoji",Hex:IA(A),Beautified:IA(l.emoji)},r(l.type,A));break}case"nfc":{g=document.createElement("div");let A=l.tokens0.flatMap((A=>"valid"===A.type?A.cps:A.cp)),t=DA(l.tokens0.flatMap((A=>"valid"===A.type?A.cps.map((A=>({type:"valid",cps:[A]}))):A)),{components:n,before:e,emoji_url:o,extra:r});if(t.title=hA({Type:"NFC (Unnormalized)",Hex:IA(A)},r(l.type,A)),g.append(t),!e){let A=DA(l.tokens,{components:n,emoji_url:o,extra:r});A.title=hA({Type:"NFC (Normalized)",Hex:IA(l.cps)},r(l.type,l.cps)),g.append(dA(),A)}break}case"valid":{g=document.createElement("span");let e=X(l.cps);t&&(1==A.length\|\|s===A.length-1&&"stop"===A[s-1].type)&&/[a-z]/.test(e)&&g.classList.add(e),g.innerText=e,g.title=hA({Type:"Valid",Hex:IA(l.cps)},r(l.type,l.cps));break}case"mapped":{g=document.createElement("div");let A=document.createElement("span");if(A.classList.add("before"),A.innerText=X([l.cp]),A.title=hA({Type:"Mapped (Match)",Hex:a(l.cp)},r(l.type,[l.cp])),g.append(A),!e){let A=document.createElement("span");A.innerText=l.cps.map((A=>X([A]))).join(""),A.title=hA({Type:"Mapped (Replacement)",Hex:IA(l.cps)},r(l.type,l.cps)),g.append(dA(),A)}break}case"stop":case"ignored":case"disallowed":g=EA(l.cp),g.title=hA({Type:l.type,Hex:a(l.cp)},r(l.type,[l.cp]));break;default:throw new TypeError(`unknown token type: ${l.type}`)}return g.classList.add(l.type),g}))),l}function MA(){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: #f63; /#ff3d01;/\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)}export{w as compare_arrays,DA as dom_from_tokens,oA as ens_beautify,BA as ens_emoji,nA as ens_normalize,tA as ens_normalize_fragment,rA as ens_split,pA as ens_tokenize,B as explode_cp,a as hex_cp,AA as is_combining_mark,N as nfc,S as nfd,f as quote_cp,Q as random_choice,u as random_sample,I as run_tests,X as safe_str_from_cps,eA as should_escape,p as str_from_cps,MA as use_default_style};

dist/index-xnf.js

		@@ -205,3 +205,3 @@ function decode_arithmetic(bytes) {

		// created 2023-01-11T09:20:55.161Z
		// created 2023-01-26T08:54:35.886Z
		var r = read_compressed_payload('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');
		@@ -245,3 +245,3 @@ const FENCED = new Map([[8217,"apostrophe"],[8260,"fraction slash"],[12539,"middle dot"]]);
		function compare_arrays(a, b) {
		let {length: n} = a;
		let n = a.length;
		let c = n - b.length;
		@@ -271,2 +271,3 @@ for (let i = 0; c == 0 && i < n; i++) c = a[i] - b[i];
		const UNIQUE_PH = 1;
		const HYPHEN = 0x2D;

		@@ -295,2 +296,4 @@ function read_set() {
		const GROUPS = read_array_while(i => {
		// minifier property mangling seems unsafe
		// so these are manually renamed to single chars
		let N = read_array_while(r).map(x => x+0x60);
		@@ -321,11 +324,14 @@ if (N.length) {
		const WHOLE_MAP = new Map();
		// decode compressed wholes
		[...WHOLE_VALID, ...read_set()].sort((a, b) => a-b).map((cp, i, v) => {
		let d = r();
		let w = v[i] = d ? v[i-d] : {V: [], M: new Map()};
		w.V.push(cp);
		w.V.push(cp); // add to member set
		if (!WHOLE_VALID.has(cp)) {
		WHOLE_MAP.set(cp, w);
		WHOLE_MAP.set(cp, w); // register with whole map
		}
		});
		// compute confusable-extent complements
		for (let {V, M} of new Set(WHOLE_MAP.values())) {
		// connect all groups that have each whole character
		let recs = [];
		@@ -341,3 +347,4 @@ for (let cp of V) {
		gs.forEach(g => rec.G.add(g));
		}
		}
		// per character cache groups which are not a member of the extent
		let union = recs.flatMap(({G}) => [...G]);
		@@ -351,4 +358,4 @@ for (let {G, V} of recs) {
		}
		let union = new Set();
		let multi = new Set();
		let union = new Set(); // exists in 1+ groups
		let multi = new Set(); // exists in 2+ groups
		for (let g of GROUPS) {
		@@ -359,2 +366,3 @@ for (let cp of g.V) {
		}
		// dual purpose WHOLE_MAP: return placeholder if unique non-confusable
		for (let cp of union) {
		@@ -365,12 +373,5 @@ if (!WHOLE_MAP.has(cp) && !multi.has(cp)) {
		}
		/*
		// this is too slow, 500ms+
		let valid_union = [...new Set(GROUPS.flatMap(g => [...g.V]))];
		for (let cp of valid_union) {
		if (!WHOLE_MAP.has(cp) && GROUPS.filter(g => g.V.has(cp)).length == 1) {
		WHOLE_MAP.set(cp, UNIQUE_PH);
		}
		}
		*/
		const VALID = new Set([...union, ...nfd(union)]); // 30ms
		const VALID = new Set([...union, ...nfd(union)]); // possibly valid

		// decode emoji
		const EMOJI_SORTED = read_sorted(r);
		@@ -429,3 +430,2 @@ //const EMOJI_SOLO = new Set(read_sorted(r).map(i => EMOJI_SORTED[i])); // not needed
		function check_label_extension(cps) {
		const HYPHEN = 0x2D;
		if (cps.length >= 4 && cps[2] == HYPHEN && cps[3] == HYPHEN) {
		@@ -462,6 +462,6 @@ throw new Error('invalid label extension');

		// note: set(s) cannot be exposed because they can be modified
		function is_combining_mark(cp) {
		return CM.has(cp);
		}

		function should_escape(cp) {
		@@ -484,3 +484,21 @@ return ESCAPE.has(cp);
		for (let {type, output, error} of split) {
		if (!error && type !== 'Greek') { // ξ => Ξ if not greek
		if (error) continue;

		// replace leading/trailing hyphen
		// 20230121: consider beautifing all or leading/trailing hyphen to unicode variant
		// not exactly the same in every font, but very similar: "-" vs "‐"
		/*
		const UNICODE_HYPHEN = 0x2010;
		// maybe this should replace all for visual consistancy?
		// `node tools/reg-count.js regex ^-\{2,\}` => 592
		//for (let i = 0; i < output.length; i++) if (output[i] == 0x2D) output[i] = 0x2010;
		if (output[0] == HYPHEN) output[0] = UNICODE_HYPHEN;
		let end = output.length-1;
		if (output[end] == HYPHEN) output[end] = UNICODE_HYPHEN;
		*/
		// 20230123: WHATWG URL uses "CheckHyphens" false
		// https://url.spec.whatwg.org/#idna

		// ξ => Ξ if not greek
		if (type !== 'Greek') {
		let prev = 0;
		@@ -494,2 +512,3 @@ while (true) {
		}

		// 20221213: fixes bidi subdomain issue, but breaks invariant (200E is disallowed)
		@@ -519,4 +538,7 @@ // could be fixed with special case for: 2D (.) + 200E (LTR)
		if (!token_count) { // the label was effectively empty (could of had ignored characters)
		norm = [];
		type = 'None'; // use this instead of "Common"
		// 20230120: change to strict
		// https://discuss.ens.domains/t/ens-name-normalization-2nd/14564/59
		//norm = [];
		//type = 'None'; // use this instead of next match, "ASCII"
		throw new Error(`empty label`);
		} else {
		@@ -528,3 +550,5 @@ let chars = tokens[0];
		check_leading_underscore(norm);
		check_label_extension(norm); // only needed for ascii
		// only needed for ascii
		// 20230123: matches matches WHATWG, see note 3.3
		check_label_extension(norm);
		// cant have fenced
		@@ -555,7 +579,11 @@ // cant have cm
		let [g] = determine_group(unique); // take the first match
		// see derive: equivalent up to naming
		// see derive: "Matching Groups have Same CM Style"
		// alternative: could form a hybrid type: Latin/Japanese/...
		check_group(g, chars); // need text in order
		check_whole(g, unique); // only need unique (order would be required for multiple-char confusables)
		check_whole(g, unique); // only need unique text (order would be required for multiple-char confusables)
		type = g.N;
		// 20230121: consider exposing restricted flag
		// it's simpler to just check for 'Restricted'
		// or even better: type.endsWith(']')
		//if (g.R) info.restricted = true;
		}
		@@ -659,14 +687,2 @@ }
		let {V, M} = g;
		/*
		for (let i = 0; i < cps.length; i++) {
		let cp = cps[i];
		if (!V.has(cp)) {
		if (CM.has(cp)) {
		throw new Error(`disallowed combining mark: "${str_from_cps([cps[i-1], cp])}" ${quote_cp(cp)}`);
		} else {
		throw error_group_member(g, cp);
		}
		}
		}
		*/
		for (let cp of cps) {
		@@ -673,0 +689,0 @@ if (!V.has(cp)) {

dist/index-xnf.min.js

		@@ -1,1 +0,1 @@
		function A(A){return 1&A?~A>>1:A>>1}function e(e,t){let r=Array(e);for(let o=0,g=0;o<e;o++)r[o]=g+=A(t());return r}function t(A,e=0){let t=[];for(;;){let r=A(),o=A();if(!o)break;e+=r;for(let A=0;A<o;A++)t.push(e+A);e+=o+1}return t}function r(A){let e=[];for(;;){let t=A(e.length);if(!t)break;e.push(t)}return e}function o(A,t,r){let o=Array(A).fill().map((()=>[]));for(let g=0;g<t;g++)e(A,r).forEach(((A,e)=>o[e].push(A)));return o}function g(A,e){let t=1+e(),g=e(),n=r(e);return o(n.length,1+A,e).flatMap(((A,e)=>{let[r,...o]=A;return Array(n[e]).fill().map(((A,e)=>{let n=eg;return[r+et,o.map((A=>A+n))]}))}))}function n(A,e){return o(1+e(),1+A,e).map((A=>[A[0],A.slice(1)]))}var l=function(A){let e=0;return()=>A[e++]}(function(A){let e=0;function t(){return A[e++]<<8\|A[e++]}let r=t(),o=1,g=[0,1];for(let A=1;A<r;A++)g.push(o+=t());let n=t(),l=e;e+=n;let C=0,i=0;function f(){return 0==C&&(i=i<<8\|A[e++],C=8),i>>--C&1}const B=2*31,s=B>>>1,w=B-1;let c=0;for(let A=0;A<31;A++)c=c<<1\|f();let I=[],Q=0,u=B;for(;;){let A=Math.floor(((c-Q+1)o-1)/u),e=0,t=r;for(;t-e>1;){let r=e+t>>>1;A<g[r]?t=r:e=r}if(0==e)break;I.push(e);let n=Q+Math.floor(ug[e]/o),l=Q+Math.floor(ug[e+1]/o)-1;for(;0==((n^l)&s);)c=c<<1&w\|f(),n=n<<1&w,l=l<<1&w\|1;for(;n&~l&536870912;)c=c&s\|c<<1&w>>>1\|f(),n=n<<1^s,l=(l^s)<<1\|s\|1;Q=n,u=1+l-n}let D=r-4;return I.map((e=>{switch(e-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 e-1}}))}(function(A){let e=[];[..."ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"].forEach(((A,t)=>e[A.charCodeAt(0)]=t));let t=A.length,r=new Uint8Array(6*t>>3);for(let o=0,g=0,n=0,l=0;o<t;o++)l=l<<6\|e[A.charCodeAt(o)],n+=6,n>=8&&(r[g++]=l>>(n-=8));return r}("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g=t+1;for(;g<o&&a.has(e[g]);)g++;if(g-t>r)throw new Error(`too many combining marks: ${A.N} "${B(e.slice(t-1,g))}" (${g-t}/${r})`);t=g}}(g,o),function(A,e){let t,r=[];for(let A of e){let e=K.get(A);if(1===e)return;if(e){let r=e.M.get(A);if(t=t?t.filter((A=>r.has(A))):[...r],!t.length)return}else r.push(A)}if(t)for(let e of t)if(r.every((A=>e.V.has(A))))throw new Error(`whole-script confusable: ${A.N}/${e.N}`)}(g,e),A=g.N}else A="Emoji"}else r=[],A="None";g.type=A}catch(A){g.error=A}return g.output=r,g}))}function b(A){return A.map((({input:e,error:t,output:r})=>{if(t){let r=t.message;throw new Error(1==A.length?r:`Invalid label "${J(e)}": ${r}`)}return B(r)})).join(".")}function T(A){return new Error(`disallowed character: ${U(A)}`)}function W(A,e){let t=U(e),r=F.find((A=>A.P.has(e)));return r&&(t=`${r.N} ${t}`),new Error(`illegal mixture: ${A.N} + ${t}`)}function d(A){return new Error(`illegal placement: ${A}`)}function Z(A,e){let t=[],r=[];for(A=A.slice().reverse();A.length;){let o=v(A);if(o)r.length&&(t.push(e(r)),r=[]),t.push(o);else{let e=A.pop();if(P.has(e))r.push(e);else{let A=u.get(e);if(A)r.push(...A);else if(!D.has(e))throw T(e)}}}return r.length&&t.push(e(r)),t}function X(A){return A.filter((A=>65039!=A))}function v(A,e){let t,r,o=R,g=[],n=A.length;for(e&&(e.length=0);n;){let l=A[--n];if(o=o.B.find((A=>A.Q.has(l))),!o)break;if(o.S)r=l;else if(o.C&&l===r)break;g.push(l),o.F&&(g.push(65039),n>0&&65039==A[n-1]&&n--),o.V&&(t=x(g,o),e&&e.push(...A.slice(n).reverse()),A.length=n)}return t}function x(A,e){let t=V.from(A);return 2==e.V&&t.splice(1,1),t}function $(){let A=[];return function e(t,r,o){if(t.S)o=r[r.length-1];else if(t.C&&o===r[r.length-1])return;t.F&&r.push(65039),t.V&&A.push(x(r,t));for(let A of t.B)for(let t of A.Q)e(A,[...r,t],o)}(R,[]),A.sort(s)}function _(A,{nf:e=!0}={}){let t=f(A).reverse(),r=[],o=[];for(;t.length;){let A=v(t,r);if(A)o.push({type:"emoji",emoji:A,input:r.slice(),cps:X(A)});else{let A=t.pop();if(46==A)o.push({type:"stop",cp:A});else if(P.has(A))o.push({type:"valid",cps:[A]});else if(D.has(A))o.push({type:"ignored",cp:A});else{let e=u.get(A);e?o.push({type:"mapped",cp:A,cps:e.slice()}):o.push({type:"disallowed",cp:A})}}}if(e)for(let A=0,e=-1;A<o.length;A++){let t=o[A];if(AA(t.type))if(eA(t.cps)){let t=A+1;for(let A=t;A<o.length;A++){let{type:e,cps:r}=o[A];if(AA(e)){if(!eA(r))break;t=A+1}else if("ignored"!==e)break}e<0&&(e=A);let r=o.slice(e,t),g=r.flatMap((A=>AA(A.type)?A.cps:[])),n=c(g);s(n,g)?(o.splice(e,t-e,{type:"nfc",input:g,cps:n,tokens0:tA(r),tokens:_(B(n),{nf:!1})}),A=e):A=t-1,e=-1}else e=A;else"ignored"!==t.type&&(e=-1)}return tA(o)}function AA(A){return"valid"==A\|\|"mapped"==A}function eA(A){return A.some((A=>p.has(A)))}function tA(A){for(let e=0;e<A.length;e++)if("valid"==A[e].type){let t=e+1;for(;t<A.length&&"valid"==A[t].type;)t++;A.splice(e,t-e,{type:"valid",cps:A.slice(e,t).flatMap((A=>A.cps))})}return A}export{q as ens_beautify,$ as ens_emoji,N as ens_normalize,O as ens_normalize_fragment,j as ens_split,_ as ens_tokenize,H as is_combining_mark,c as nfc,I as nfd,J as safe_str_from_cps,G as should_escape};
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I=[],Q=0,u=B;for(;;){let A=Math.floor(((c-Q+1)o-1)/u),e=0,t=r;for(;t-e>1;){let r=e+t>>>1;A<g[r]?t=r:e=r}if(0==e)break;I.push(e);let n=Q+Math.floor(ug[e]/o),l=Q+Math.floor(ug[e+1]/o)-1;for(;0==((n^l)&s);)c=c<<1&w\|f(),n=n<<1&w,l=l<<1&w\|1;for(;n&~l&536870912;)c=c&s\|c<<1&w>>>1\|f(),n=n<<1^s,l=(l^s)<<1\|s\|1;Q=n,u=1+l-n}let a=r-4;return I.map((e=>{switch(e-a){case 3:return a+65792+(A[l++]<<16\|A[l++]<<8\|A[l++]);case 2:return a+256+(A[l++]<<8\|A[l++]);case 1:return a+A[l++];default:return e-1}}))}(function(A){let e=[];[..."ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/"].forEach(((A,t)=>e[A.charCodeAt(0)]=t));let t=A.length,r=new Uint8Array(6*t>>3);for(let o=0,g=0,n=0,l=0;o<t;o++)l=l<<6\|e[A.charCodeAt(o)],n+=6,n>=8&&(r[g++]=l>>(n-=8));return r}("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")));const 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Y=l(),F=r((A=>{let e=r(l).map((A=>A+96));if(e.length){let t=A>=Y;e[0]-=32,e=B(e),t&&(e=`Restricted[${e}]`);let r=L(),o=L(),g=[...r,...o].sort(((A,e)=>A-e));return{N:e,P:r,M:l()-1,R:t,V:new Set(g)}}})),k=Q(),K=new Map;[...k,...Q()].sort(((A,e)=>A-e)).map(((A,e,t)=>{let r=l(),o=t[e]=r?t[e-r]:{V:[],M:new Map};o.V.push(A),k.has(A)\|\|K.set(A,o)}));for(let{V:A,M:e}of new Set(K.values())){let t=[];for(let e of A){let A=F.filter((A=>A.V.has(e))),r=t.find((({G:e})=>A.some((A=>e.has(A)))));r\|\|(r={G:new Set,V:[]},t.push(r)),r.V.push(e),A.forEach((A=>r.G.add(A)))}let r=t.flatMap((({G:A})=>[...A]));for(let{G:A,V:o}of t){let t=new Set(r.filter((e=>!A.has(e))));for(let A of o)e.set(A,t)}}let z=new Set,m=new Set;for(let A of F)for(let e of A.V)(z.has(e)?m:z).add(e);for(let A of z)K.has(A)\|\|m.has(A)\|\|K.set(A,1);const P=new Set([...z,...I(z)]),S=t(l),R=function A(e){let o=r((()=>{let e=t(l).map((A=>S[A]));if(e.length)return A(e)})).sort(((A,e)=>e.Q.size-A.Q.size)),g=l(),n=g%3;g=g/3\|0;let C=1&g;return g>>=1,{B:o,V:n,F:C,S:1&g,C:2&g,Q:new Set(e)}}([]);class V extends Array{get is_emoji(){return!0}}function y(A,e=i){let t=[];H(A[0])&&t.push("◌");let r=0,o=A.length;for(let g=0;g<o;g++){let o=A[g];G(o)&&(t.push(B(A.slice(r,g))),t.push(e(o)),r=g+1)}return t.push(B(A.slice(r,o))),t.join("")}function J(A){return(G(A)?"":`"${y([A])}" `)+i(A)}function U(A){for(let e=A.lastIndexOf(95);e>0;)if(95!==A[--e])throw new Error("underscore allowed only at start")}function H(A){return D.has(A)}function G(A){return h.has(A)}function O(A,e){let t=e?I:c;return A.split(".").map((A=>B(Z(f(A),t).flatMap((A=>A.is_emoji?X(A):A))))).join(".")}function N(A){return b(j(A))}function q(A){let e=j(A,!0);for(let{type:A,output:t,error:r}of e)if(!r&&"Greek"!==A){let A=0;for(;;){let e=t.indexOf(958,A);if(e<0)break;t[e]=926,A=e+1}}return b(e)}function j(A,e){let t=0;return A.split(".").map((A=>{let r,o=f(A),g={input:o,offset:t};t+=o.length+1;try{let A,t=g.tokens=Z(o,c),n=t.length;if(!n)throw new Error("empty label");{let o=t[0],l=n>1\|\|o.is_emoji;if(!l&&o.every((A=>A<128)))r=o,U(r),function(A){if(A.length>=4&&45==A[2]&&45==A[3])throw new Error("invalid label extension")}(r),A="ASCII";else if(l&&(g.emoji=!0,o=t.flatMap((A=>A.is_emoji?[]:A))),r=t.flatMap((A=>!e&&A.is_emoji?X(A):A)),U(r),o.length){if(D.has(r[0]))throw d("leading combining mark");for(let A=1;A<n;A++){let e=t[A];if(!e.is_emoji&&D.has(e[0]))throw d(`emoji + combining mark: "${B(t[A-1])} + ${y([e[0]])}"`)}!function(A){let e=A[0],t=C.get(e);if(t)throw d(`leading ${t}`);let r=A.length,o=-1;for(let g=1;g<r;g++){e=A[g];let r=C.get(e);if(r){if(o==g)throw d(`${t} + ${r}`);o=g+1,t=r}}if(o==r)throw d(`trailing ${t}`)}(r);let e=[...new Set(o)],[g]=function(A){let e=F;for(let t of A){let A=e.filter((A=>A.V.has(t)));if(!A.length)throw e===F?T(t):W(e[0],t);if(e=A,1==A.length)break}return e}(e);!function(A,e){let{V:t,M:r}=A;for(let r of e)if(!t.has(r))throw W(A,r);if(r>=0)for(let t=1,o=I(e).length;t<o;t++)if(D.has(e[t])){let g=t+1;for(;g<o&&D.has(e[g]);)g++;if(g-t>r)throw new Error(`too many combining marks: ${A.N} "${B(e.slice(t-1,g))}" (${g-t}/${r})`);t=g}}(g,o),function(A,e){let t,r=[];for(let A of e){let e=K.get(A);if(1===e)return;if(e){let r=e.M.get(A);if(t=t?t.filter((A=>r.has(A))):[...r],!t.length)return}else r.push(A)}if(t)for(let e of t)if(r.every((A=>e.V.has(A))))throw new Error(`whole-script confusable: ${A.N}/${e.N}`)}(g,e),A=g.N}else A="Emoji"}g.type=A}catch(A){g.error=A}return g.output=r,g}))}function b(A){return A.map((({input:e,error:t,output:r})=>{if(t){let r=t.message;throw new Error(1==A.length?r:`Invalid label "${y(e)}": ${r}`)}return B(r)})).join(".")}function T(A){return new Error(`disallowed character: ${J(A)}`)}function W(A,e){let t=J(e),r=F.find((A=>A.P.has(e)));return r&&(t=`${r.N} ${t}`),new Error(`illegal mixture: ${A.N} + ${t}`)}function d(A){return new Error(`illegal placement: ${A}`)}function Z(A,e){let t=[],r=[];for(A=A.slice().reverse();A.length;){let o=v(A);if(o)r.length&&(t.push(e(r)),r=[]),t.push(o);else{let e=A.pop();if(P.has(e))r.push(e);else{let A=u.get(e);if(A)r.push(...A);else if(!a.has(e))throw T(e)}}}return r.length&&t.push(e(r)),t}function X(A){return A.filter((A=>65039!=A))}function v(A,e){let t,r,o=R,g=[],n=A.length;for(e&&(e.length=0);n;){let l=A[--n];if(o=o.B.find((A=>A.Q.has(l))),!o)break;if(o.S)r=l;else if(o.C&&l===r)break;g.push(l),o.F&&(g.push(65039),n>0&&65039==A[n-1]&&n--),o.V&&(t=x(g,o),e&&e.push(...A.slice(n).reverse()),A.length=n)}return t}function x(A,e){let t=V.from(A);return 2==e.V&&t.splice(1,1),t}function $(){let A=[];return function e(t,r,o){if(t.S)o=r[r.length-1];else if(t.C&&o===r[r.length-1])return;t.F&&r.push(65039),t.V&&A.push(x(r,t));for(let A of t.B)for(let t of A.Q)e(A,[...r,t],o)}(R,[]),A.sort(s)}function _(A,{nf:e=!0}={}){let t=f(A).reverse(),r=[],o=[];for(;t.length;){let A=v(t,r);if(A)o.push({type:"emoji",emoji:A,input:r.slice(),cps:X(A)});else{let A=t.pop();if(46==A)o.push({type:"stop",cp:A});else if(P.has(A))o.push({type:"valid",cps:[A]});else if(a.has(A))o.push({type:"ignored",cp:A});else{let e=u.get(A);e?o.push({type:"mapped",cp:A,cps:e.slice()}):o.push({type:"disallowed",cp:A})}}}if(e)for(let A=0,e=-1;A<o.length;A++){let t=o[A];if(AA(t.type))if(eA(t.cps)){let t=A+1;for(let A=t;A<o.length;A++){let{type:e,cps:r}=o[A];if(AA(e)){if(!eA(r))break;t=A+1}else if("ignored"!==e)break}e<0&&(e=A);let r=o.slice(e,t),g=r.flatMap((A=>AA(A.type)?A.cps:[])),n=c(g);s(n,g)?(o.splice(e,t-e,{type:"nfc",input:g,cps:n,tokens0:tA(r),tokens:_(B(n),{nf:!1})}),A=e):A=t-1,e=-1}else e=A;else"ignored"!==t.type&&(e=-1)}return tA(o)}function AA(A){return"valid"==A\|\|"mapped"==A}function eA(A){return A.some((A=>p.has(A)))}function tA(A){for(let e=0;e<A.length;e++)if("valid"==A[e].type){let t=e+1;for(;t<A.length&&"valid"==A[t].type;)t++;A.splice(e,t-e,{type:"valid",cps:A.slice(e,t).flatMap((A=>A.cps))})}return A}export{q as ens_beautify,$ as ens_emoji,N as ens_normalize,O as ens_normalize_fragment,j as ens_split,_ as ens_tokenize,H as is_combining_mark,c as nfc,I as nfd,y as safe_str_from_cps,G as should_escape};

dist/index.js

		@@ -205,3 +205,3 @@ function decode_arithmetic(bytes) {

		// created 2023-01-11T09:20:55.161Z
		// created 2023-01-26T08:54:35.886Z
		var r$1 = read_compressed_payload('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');
		@@ -245,3 +245,3 @@ const FENCED = new Map([[8217,"apostrophe"],[8260,"fraction slash"],[12539,"middle dot"]]);
		function compare_arrays(a, b) {
		let {length: n} = a;
		let n = a.length;
		let c = n - b.length;
		@@ -252,3 +252,3 @@ for (let i = 0; c == 0 && i < n; i++) c = a[i] - b[i];

		// created 2023-01-11T09:20:55.270Z
		// created 2023-01-26T08:54:36.002Z
		var r = read_compressed_payload('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');
		@@ -434,2 +434,3 @@
		const UNIQUE_PH = 1;
		const HYPHEN = 0x2D;

		@@ -458,2 +459,4 @@ function read_set() {
		const GROUPS = read_array_while(i => {
		// minifier property mangling seems unsafe
		// so these are manually renamed to single chars
		let N = read_array_while(r$1).map(x => x+0x60);
		@@ -484,11 +487,14 @@ if (N.length) {
		const WHOLE_MAP = new Map();
		// decode compressed wholes
		[...WHOLE_VALID, ...read_set()].sort((a, b) => a-b).map((cp, i, v) => {
		let d = r$1();
		let w = v[i] = d ? v[i-d] : {V: [], M: new Map()};
		w.V.push(cp);
		w.V.push(cp); // add to member set
		if (!WHOLE_VALID.has(cp)) {
		WHOLE_MAP.set(cp, w);
		WHOLE_MAP.set(cp, w); // register with whole map
		}
		});
		// compute confusable-extent complements
		for (let {V, M} of new Set(WHOLE_MAP.values())) {
		// connect all groups that have each whole character
		let recs = [];
		@@ -504,3 +510,4 @@ for (let cp of V) {
		gs.forEach(g => rec.G.add(g));
		}
		}
		// per character cache groups which are not a member of the extent
		let union = recs.flatMap(({G}) => [...G]);
		@@ -514,4 +521,4 @@ for (let {G, V} of recs) {
		}
		let union = new Set();
		let multi = new Set();
		let union = new Set(); // exists in 1+ groups
		let multi = new Set(); // exists in 2+ groups
		for (let g of GROUPS) {
		@@ -522,2 +529,3 @@ for (let cp of g.V) {
		}
		// dual purpose WHOLE_MAP: return placeholder if unique non-confusable
		for (let cp of union) {
		@@ -528,12 +536,5 @@ if (!WHOLE_MAP.has(cp) && !multi.has(cp)) {
		}
		/*
		// this is too slow, 500ms+
		let valid_union = [...new Set(GROUPS.flatMap(g => [...g.V]))];
		for (let cp of valid_union) {
		if (!WHOLE_MAP.has(cp) && GROUPS.filter(g => g.V.has(cp)).length == 1) {
		WHOLE_MAP.set(cp, UNIQUE_PH);
		}
		}
		*/
		const VALID = new Set([...union, ...nfd(union)]); // 30ms
		const VALID = new Set([...union, ...nfd(union)]); // possibly valid

		// decode emoji
		const EMOJI_SORTED = read_sorted(r$1);
		@@ -592,3 +593,2 @@ //const EMOJI_SOLO = new Set(read_sorted(r).map(i => EMOJI_SORTED[i])); // not needed
		function check_label_extension(cps) {
		const HYPHEN = 0x2D;
		if (cps.length >= 4 && cps[2] == HYPHEN && cps[3] == HYPHEN) {
		@@ -625,6 +625,6 @@ throw new Error('invalid label extension');

		// note: set(s) cannot be exposed because they can be modified
		function is_combining_mark(cp) {
		return CM.has(cp);
		}

		function should_escape(cp) {
		@@ -647,3 +647,21 @@ return ESCAPE.has(cp);
		for (let {type, output, error} of split) {
		if (!error && type !== 'Greek') { // ξ => Ξ if not greek
		if (error) continue;

		// replace leading/trailing hyphen
		// 20230121: consider beautifing all or leading/trailing hyphen to unicode variant
		// not exactly the same in every font, but very similar: "-" vs "‐"
		/*
		const UNICODE_HYPHEN = 0x2010;
		// maybe this should replace all for visual consistancy?
		// `node tools/reg-count.js regex ^-\{2,\}` => 592
		//for (let i = 0; i < output.length; i++) if (output[i] == 0x2D) output[i] = 0x2010;
		if (output[0] == HYPHEN) output[0] = UNICODE_HYPHEN;
		let end = output.length-1;
		if (output[end] == HYPHEN) output[end] = UNICODE_HYPHEN;
		*/
		// 20230123: WHATWG URL uses "CheckHyphens" false
		// https://url.spec.whatwg.org/#idna

		// ξ => Ξ if not greek
		if (type !== 'Greek') {
		let prev = 0;
		@@ -657,2 +675,3 @@ while (true) {
		}

		// 20221213: fixes bidi subdomain issue, but breaks invariant (200E is disallowed)
		@@ -682,4 +701,7 @@ // could be fixed with special case for: 2D (.) + 200E (LTR)
		if (!token_count) { // the label was effectively empty (could of had ignored characters)
		norm = [];
		type = 'None'; // use this instead of "Common"
		// 20230120: change to strict
		// https://discuss.ens.domains/t/ens-name-normalization-2nd/14564/59
		//norm = [];
		//type = 'None'; // use this instead of next match, "ASCII"
		throw new Error(`empty label`);
		} else {
		@@ -691,3 +713,5 @@ let chars = tokens[0];
		check_leading_underscore(norm);
		check_label_extension(norm); // only needed for ascii
		// only needed for ascii
		// 20230123: matches matches WHATWG, see note 3.3
		check_label_extension(norm);
		// cant have fenced
		@@ -718,7 +742,11 @@ // cant have cm
		let [g] = determine_group(unique); // take the first match
		// see derive: equivalent up to naming
		// see derive: "Matching Groups have Same CM Style"
		// alternative: could form a hybrid type: Latin/Japanese/...
		check_group(g, chars); // need text in order
		check_whole(g, unique); // only need unique (order would be required for multiple-char confusables)
		check_whole(g, unique); // only need unique text (order would be required for multiple-char confusables)
		type = g.N;
		// 20230121: consider exposing restricted flag
		// it's simpler to just check for 'Restricted'
		// or even better: type.endsWith(']')
		//if (g.R) info.restricted = true;
		}
		@@ -822,14 +850,2 @@ }
		let {V, M} = g;
		/*
		for (let i = 0; i < cps.length; i++) {
		let cp = cps[i];
		if (!V.has(cp)) {
		if (CM.has(cp)) {
		throw new Error(`disallowed combining mark: "${str_from_cps([cps[i-1], cp])}" ${quote_cp(cp)}`);
		} else {
		throw error_group_member(g, cp);
		}
		}
		}
		*/
		for (let cp of cps) {
		@@ -836,0 +852,0 @@ if (!V.has(cp)) {

dist/index.min.js

		@@ -1,1 +0,1 @@
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if(g.C&&n===C)break;o.push(n),g.F&&(o.push(65039),r>0&&65039==A[r-1]&&r--),g.V&&(t=lA(o,g),e&&e.push(...A.slice(r).reverse()),A.length=r)}return t}function lA(A,e){let t=q.from(A);return 2==e.V&&t.splice(1,1),t}function wA(){let A=[];return function e(t,C,g){if(t.S)g=C[C.length-1];else if(t.C&&g===C[C.length-1])return;t.F&&C.push(65039),t.V&&A.push(lA(C,t));for(let A of t.B)for(let t of A.Q)e(A,[...C,t],g)}(W,[]),A.sort(c)}function QA(A,{nf:e=!0}={}){let t=i(A).reverse(),C=[],g=[];for(;t.length;){let A=BA(t,C);if(A)g.push({type:"emoji",emoji:A,input:C.slice(),cps:nA(A)});else{let A=t.pop();if(46==A)g.push({type:"stop",cp:A});else if(j.has(A))g.push({type:"valid",cps:[A]});else if(R.has(A))g.push({type:"ignored",cp:A});else{let e=N.get(A);e?g.push({type:"mapped",cp:A,cps:e.slice()}):g.push({type:"disallowed",cp:A})}}}if(e)for(let A=0,e=-1;A<g.length;A++){let t=g[A];if(sA(t.type))if(iA(t.cps)){let t=A+1;for(let 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n(1+e(),1+A,e).map((A=>[A[0],A.slice(1)]))}var 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oA(`emoji + combining mark: "${f(t[A-1])} + ${q([e[0]])}"`)}!function(A){let e=A[0],t=Q.get(e);if(t)throw oA(`leading ${t}`);let C=A.length,g=-1;for(let o=1;o<C;o++){e=A[o];let C=Q.get(e);if(C){if(g==o)throw oA(`${t} + ${C}`);g=o+1,t=C}}if(g==C)throw oA(`trailing ${t}`)}(C);let e=[...new Set(g)],[o]=function(A){let e=O;for(let t of A){let A=e.filter((A=>A.V.has(t)));if(!A.length)throw e===O?CA(t):gA(e[0],t);if(e=A,1==A.length)break}return e}(e);!function(A,e){let{V:t,M:C}=A;for(let C of e)if(!t.has(C))throw gA(A,C);if(C>=0)for(let t=1,g=Y(e).length;t<g;t++)if(P.has(e[t])){let o=t+1;for(;o<g&&P.has(e[o]);)o++;if(o-t>C)throw new Error(`too many combining marks: ${A.N} "${f(e.slice(t-1,o))}" (${o-t}/${C})`);t=o}}(o,g),function(A,e){let t,C=[];for(let A of e){let e=m.get(A);if(1===e)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}`)}(o,e),A=o.N}else A="Emoji"}o.type=A}catch(A){o.error=A}return o.output=C,o}))}function tA(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 "${q(e)}": ${C}`)}return f(C)})).join(".")}function CA(A){return new Error(`disallowed character: ${d(A)}`)}function gA(A,e){let t=d(e),C=O.find((A=>A.P.has(e)));return C&&(t=`${C.N} ${t}`),new Error(`illegal mixture: ${A.N} + ${t}`)}function oA(A){return new Error(`illegal placement: ${A}`)}function rA(A,e){let t=[],C=[];for(A=A.slice().reverse();A.length;){let g=BA(A);if(g)C.length&&(t.push(e(C)),C=[]),t.push(g);else{let e=A.pop();if(j.has(e))C.push(e);else{let A=N.get(e);if(A)C.push(...A);else if(!R.has(e))throw CA(e)}}}return C.length&&t.push(e(C)),t}function nA(A){return A.filter((A=>65039!=A))}function BA(A,e){let t,C,g=W,o=[],r=A.length;for(e&&(e.length=0);r;){let n=A[--r];if(g=g.B.find((A=>A.Q.has(n))),!g)break;if(g.S)C=n;else if(g.C&&n===C)break;o.push(n),g.F&&(o.push(65039),r>0&&65039==A[r-1]&&r--),g.V&&(t=lA(o,g),e&&e.push(...A.slice(r).reverse()),A.length=r)}return t}function lA(A,e){let t=y.from(A);return 2==e.V&&t.splice(1,1),t}function wA(){let A=[];return function e(t,C,g){if(t.S)g=C[C.length-1];else if(t.C&&g===C[C.length-1])return;t.F&&C.push(65039),t.V&&A.push(lA(C,t));for(let A of t.B)for(let t of A.Q)e(A,[...C,t],g)}(W,[]),A.sort(c)}function QA(A,{nf:e=!0}={}){let t=s(A).reverse(),C=[],g=[];for(;t.length;){let A=BA(t,C);if(A)g.push({type:"emoji",emoji:A,input:C.slice(),cps:nA(A)});else{let A=t.pop();if(46==A)g.push({type:"stop",cp:A});else if(j.has(A))g.push({type:"valid",cps:[A]});else if(R.has(A))g.push({type:"ignored",cp:A});else{let e=N.get(A);e?g.push({type:"mapped",cp:A,cps:e.slice()}):g.push({type:"disallowed",cp:A})}}}if(e)for(let A=0,e=-1;A<g.length;A++){let t=g[A];if(iA(t.type))if(sA(t.cps)){let t=A+1;for(let A=t;A<g.length;A++){let{type:e,cps:C}=g[A];if(iA(e)){if(!sA(C))break;t=A+1}else if("ignored"!==e)break}e<0&&(e=A);let C=g.slice(e,t),o=C.flatMap((A=>iA(A.type)?A.cps:[])),r=U(o);c(r,o)?(g.splice(e,t-e,{type:"nfc",input:o,cps:r,tokens0:fA(C),tokens:QA(f(r),{nf:!1})}),A=e):A=t-1,e=-1}else e=A;else"ignored"!==t.type&&(e=-1)}return fA(g)}function iA(A){return"valid"==A\|\|"mapped"==A}function sA(A){return A.some((A=>K.has(A)))}function fA(A){for(let e=0;e<A.length;e++)if("valid"==A[e].type){let t=e+1;for(;t<A.length&&"valid"==A[t].type;)t++;A.splice(e,t-e,{type:"valid",cps:A.slice(e,t).flatMap((A=>A.cps))})}return A}export{AA as ens_beautify,wA as ens_emoji,_ as ens_normalize,$ as ens_normalize_fragment,eA as ens_split,QA as ens_tokenize,X as is_combining_mark,U as nfc,Y as nfd,q as safe_str_from_cps,v as should_escape};

package.json

		{
		"name": "@adraffy/ens-normalize",
		"version": "1.8.6",
		"version": "1.8.8",
		"description": "Compact ES6 Ethereum Name Service (ENS) Name Normalizer",
		@@ -16,4 +16,10 @@ "keywords": [
		"type": "module",
		"main": "dist/index.js",
		"types": "dist/index.d.ts",
		"exports": {
		".": {
		"require": "./dist/index.cjs",
		"import": "./dist/index.js",
		"types": "./dist/index.d.ts"
		}
		},
		"main": "./dist/index.js",
		"files": [
		@@ -43,3 +49,3 @@ "./dist"
		"rebuild": "npm run derive && npm run make && npm run validate && npm run test && npm run build",
		"order": "node validate/dump-group-order.js save && npm run rebuild"
		"order": "node validate/dump-group-order.js save && npm run rebuild"
		},
		@@ -46,0 +52,0 @@ "devDependencies": {

README.md

		@@ -5,5 +5,5 @@ # ens-normalize.js
		* Follows [ENS Name Normalization Standard](https://github.com/adraffy/ensip-norm/blob/main/draft.md)
		* Passes [100%](https://adraffy.github.io/ens-normalize.js/test/validate.html) Validation Tests
		* [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)
		* [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)
		* Minified File Sizes:
		@@ -21,8 +21,9 @@ * [`27KB`](./dist/index-xnf.min.js) — native `NFC` via [nf-native.js](./src/nf-native.js) using `String.normalize()`
		* [Emoji Frequency Explorer](https://raffy.antistupid.com/eth/ens-emoji-freq.html)
		* Breakdown Reports:
		* [ENS+NFT Matcher](https://raffy.antistupid.com/eth/ens-nft-matcher.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)
		* [Illegal Mixtures](https://adraffy.github.io/ens-norm-tests/test-breakdown/output/mixtures.html)
		* [Excess Combining Marks](https://adraffy.github.io/ens-norm-tests/test-breakdown/output/cm.html)
		@@ -58,6 +59,7 @@
		```Javascript
		// these fragments fail ens_normalize() due to positional rules
		// these fragments fail ens_normalize()
		// but will normalize fine as fragments
		let frag1 = ens_normalize_fragment('AB--');
		let frag2 = ens_normalize_fragment('\u{303}');
		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
		```
		@@ -174,2 +176,2 @@
		* `npm run rebuild` — run all the commands above
		* `npm run order` — create optimal ordering and rebuild again
		* `npm run order` — create optimal group ordering and rebuild again

dist/all.js

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