PageSourceSearch

https://give-away3.vercel.app/_next/static/chunks/1582.76afc82834891454.js

js give-away3.vercel.app collected 2026-10-03 07:01:36 UTC 36,024 bytes, 1 lines download raw bytes

1"use strict";(self.webpackChunk_N_E=self.webpackChunk_N_E||[]).push([[1582],{61582:function(A,e,t){function read_compressed_payload(A){var e;let t;return e=function(A){let e=0;function u16(){return A[e++]<<8|A[e++]}let t=u16(),r=1,C=[0,1];for(let A=1;A<t;A++)C.push(r+=u16());let o=u16(),g=e;e+=o;let w=0,s=0;function read_bit(){return 0==w&&(s=s<<8|A[e++],w=8),s>>--w&1}let B=2147483648-1,n=0;for(let A=0;A<31;A++)n=n<<1|read_bit();let l=[],c=0,a=2147483648;for(;;){let A=Math.floor(((n-c+1)*r-1)/a),e=0,o=t;for(;o-e>1;){let t=e+o>>>1;A<C[t]?o=t:e=t}if(0==e)break;l.push(e);let g=c+Math.floor(a*C[e]/r),w=c+Math.floor(a*C[e+1]/r)-1;for(;((g^w)&1073741824)==0;)n=n<<1&B|read_bit(),g=g<<1&B,w=w<<1&B|1;for(;g&~w&536870912;)n=1073741824&n|n<<1&B>>>1|read_bit(),g=g<<1^1073741824,w=(1073741824^w)<<1|1073741825;c=g,a=1+w-g}let i=t-4;return l.map(e=>{switch(e-i){case 3:return i+65792+(A[g++]<<16|A[g++]<<8|A[g++]);case 2:return i+256+(A[g++]<<8|A[g++]);case 1:return i+A[g++];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 C=0,o=0,g=0,w=0;C<t;C++)w=w<<6|e[A.charCodeAt(C)],(g+=6)>=8&&(r[o++]=w>>(g-=8));return r}(A)),t=0,()=>e[t++]}function read_sorted(A,e=0){let t=[];for(;;){let r=A(),C=A();if(!C)break;e+=r;for(let A=0;A<C;A++)t.push(e+A);e+=C+1}return t}function read_sorted_arrays(A){return read_array_while(()=>{let e=read_sorted(A);if(e.length)return e})}function read_mapped(A){let e=[];for(;;){let t=A();if(0==t)break;e.push(function(A,e){let t=1+e(),r=e(),C=read_array_while(e);return read_transposed(C.length,1+A,e).flatMap((A,e)=>{let[o,...g]=A;return Array(C[e]).fill().map((A,e)=>{let C=e*r;return[o+e*t,g.map(A=>A+C)]})})}(t,A))}for(;;){let t=A()-1;if(t<0)break;e.push(read_transposed(1+A(),1+t,A).map(A=>[A[0],A.slice(1)]))}return e.flat()}function read_array_while(A){let e=[];for(;;){let t=A(e.length);if(!t)break;e.push(t)}return e}function read_transposed(A,e,t){let r=Array(A).fill().map(()=>[]);for(let C=0;C<e;C++)(function(A,e){let t=Array(A);for(let C=0,o=0;C<A;C++){var r;t[C]=o+=1&(r=e())?~r>>1:r>>1}return t})(A,t).forEach((A,e)=>r[e].push(A));return r}t.d(e,{normalize:function(){return normalize}});var r=read_compressed_payload("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");let C=new Map([[8217,"apostrophe"],[8260,"fraction slash"],[12539,"middle dot"]]);function quote_cp(A){return`{${A.toString(16).toUpperCase().padStart(2,"0")}}`}function str_from_cps(A){let e=A.length;if(e<4096)return String.fromCodePoint(...A);let t=[];for(let r=0;r<e;)t.push(String.fromCodePoint(...A.slice(r,r+=4096)));return t.join("")}var o=read_compressed_payload
vendor: 7,465 bytes, line 1
1("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");function 
1unpack_cc(A){return A>>24&255}function unpack_cp(A){return 16777215&A}let g=new Map(read_sorted_arrays(o).flatMap((A,e)=>A.map(A=>[A,e+1<<24]))),w=new Set(read_sorted(o)),s=new Map,B=new Map;for(let[A,e]of read_mapped(o)){if(!w.has(A)&&2==e.length){let[t,r]=e,C=B.get(t);C||(C=new Map,B.set(t,C)),C.set(r,A)}s.set(A,e.reverse())}function is_hangul(A){return A>=44032&&A<55204}function decomposed(A){let e=[],t=[],r=!1;function add(A){let t=g.get(A);t&&(r=!0,A|=t),e.push(A)}for(let r of A)for(;;){if(r<128)e.push(r);else if(is_hangul(r)){let A=r-44032,e=A/588|0,t=A%588/28|0,C=A%28;add(4352+e),add(4449+t),C>0&&add(4519+C)}else{let A=s.get(r);A?t.push(...A):add(r)}if(!t.length)break;r=t.pop()}if(r&&e.length>1){let A=unpack_cc(e[0]);for(let t=1;t<e.length;t++){let r=unpack_cc(e[t]);if(0==r||A<=r){A=r;continue}let C=t-1;for(;;){let t=e[C+1];if(e[C+1]=e[C],e[C]=t,!C||(A=unpack_cc(e[--C]))<=r)break}A=unpack_cc(e[t])}}return e}function nfc(A){return function(A){let e=[],t=[],r=-1,C=0;for(let o of A){let A=unpack_cc(o),g=unpack_cp(o);if(-1==r)0==A?r=g:e.push(g);else if(C>0&&C>=A)0==A?(e.push(r,...t),t.length=0,r=g):t.push(g),C=A;else{let o=function(A,e){if(A>=4352&&A<4371&&e>=4449&&e<4470)return 44032+(A-4352)*588+(e-4449)*28;if(is_hangul(A)&&e>4519&&e<4547&&(A-44032)%28==0)return A+(e-4519);{let t=B.get(A);return t&&(t=t.get(e))?t:-1}}(r,g);o>=0?r=o:0==C&&0==A?(e.push(r),r=g):(t.push(g),C=A)}}return r>=0&&e.push(r,...t),e}(decomposed(A))}function read_set(){return new Set(read_sorted(r))}let n=new Map(read_mapped(r)),l=read_set(),c=read_set(),a=new Set(read_sorted(r).map(function(A){return this[A]},[...c])),i=read_set();read_set();let f=read_sorted_arrays(r);function read_chunked(){return new Set([read_sorted(r).map(A=>f[A]),read_sorted(r)].flat(2))}let Q=r(),E=read_array_while(A=>{let e=read_array_while(r).map(A=>A+96);if(e.length){let t=A>=Q;e[0]-=32,e=str_from_cps(e),t&&(e=`Restricted[${e}]`);let C=read_chunked(),o=[...C,...read_chunked()].sort((A,e)=>A-e);return{N:e,P:C,M:!r(),R:t,V:new Set(o)}}}),u=read_set(),h=new Map;for(let{V:A,M:e}of([...u,...read_set()].sort((A,e)=>A-e).map((A,e,t)=>{let C=r(),o=t[e]=C?t[e-C]:{V:[],M:new Map};o.V.push(A),u.has(A)||h.set(A,o)}),new Set(h.values()))){let t=[];for(let e of A){let A=E.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:C}of t){let t=new Set(r.filter(e=>!A.has(e)));for(let A of C)e.set(A,t)}}let D=new Set,p=new Set;for(let A of E)for(let e of A.V)(D.has(e)?p:D).add(e);for(let A of D)h.has(A)||p.has(A)||h.set(A,1);let M=new Set([...D,...decomposed(D).map(unpack_cp)]),I=read_sorted(r),d=function read_emoji_trie(A){let e=read_array_while(()=>{let A=read_sorted(r).map(A=>I[A]);if(A.length)return read_emoji_trie(A)}).sort((A,e)=>e.Q.size-A.Q.size),t=r();return{B:e,V:t%3,F:1&(t=t/3|0),S:1&(t>>=1),C:2&t,Q:new Set(A)}}([]);let Emoji=class Emoji extends Array{get is_emoji(){return!0}};function safe_str_from_cps(A,e=quote_cp){var t;let r=[];t=A[0],c.has(t)&&r.push("◌");let C=0,o=A.length;for(let t=0;t<o;t++){let o=A[t];i.has(o)&&(r.push(str_from_cps(A.slice(C,t))),r.push(e(o)),C=t+1)}return r.push(str_from_cps(A.slice(C,o))),r.join("")}function quoted_cp(A){return(i.has(A)?"":`${bidi_qq(safe_str_from_cps([A]))} `)+quote_cp(A)}function bidi_qq(A){return`"${A}"\u200E`}function check_leading_underscore(A){for(let e=A.lastIndexOf(95);e>0;)if(95!==A[--e])throw Error("underscore allowed only at start")}function error_disallowed(A){return Error(`disallowed character: ${quoted_cp(A)}`)}function error_group_member(A,e){let t=quoted_cp(e),r=E.find(A=>A.P.has(e));return r&&(t=`${r.N} ${t}`),Error(`illegal mixture: ${A.N} + ${t}`)}function error_placement(A){return Error(`illegal placement: ${A}`)}function normalize(A){var e;let t;return(t=0,e=A.split(".").map(A=>{let e,r=function(A){let e=[];for(let t=0,r=A.length;t<r;){let r=A.codePointAt(t);t+=r<65536?1:2,e.push(r)}return e}(A),o={input:r,offset:t};t+=r.length+1;try{let A,t=o.tokens=function(A,e){let t=[],r=[];for(A=A.slice().reverse();A.length;){let C=function(A,e){let t,r,C=d,o=[],g=A.length;for(e&&(e.length=0);g;){let w=A[--g];if(!(C=C.B.find(A=>A.Q.has(w))))break;if(C.S)r=w;else if(C.C&&w===r)break;o.push(w),C.F&&(o.push(65039),g>0&&65039==A[g-1]&&g--),C.V&&(t=function(A,e){let t=Emoji.from(A);return 2==e.V&&t.splice(1,1),t}(o,C),e&&e.push(...A.slice(g).reverse()),A.length=g)}return t}(A);if(C)r.length&&(t.push(e(r)),r=[]),t.push(C);else{let e=A.pop();if(M.has(e))r.push(e);else{let A=n.get(e);if(A)r.push(...A);else if(!l.has(e))throw error_disallowed(e)}}}return r.length&&t.push(e(r)),t}(r,nfc),g=t.length;if(g){let r=t[0],w=g>1||r.is_emoji;if(!w&&r.every(A=>A<128))e=r,check_leading_underscore(e),function(A){if(A.length>=4&&45==A[2]&&45==A[3])throw Error("invalid label extension")}(e),A="ASCII";else if(w&&(o.emoji=!0,r=t.flatMap(A=>A.is_emoji?[]:A)),e=t.flatMap(A=>A.is_emoji?A.filter(A=>65039!=A):A),check_leading_underscore(e),r.length){if(c.has(e[0]))throw error_placement("leading combining mark");for(let A=1;A<g;A++){let e=t[A];
1if(!e.is_emoji&&c.has(e[0]))throw error_placement(`emoji + combining mark: "${str_from_cps(t[A-1])} + ${safe_str_from_cps([e[0]])}"`)}!function(A){let e=A[0],t=C.get(e);if(t)throw error_placement(`leading ${t}`);let r=A.length,o=-1;for(let g=1;g<r;g++){e=A[g];let r=C.get(e);if(r){if(o==g)throw error_placement(`${t} + ${r}`);o=g+1,t=r}}if(o==r)throw error_placement(`trailing ${t}`)}(e);let o=[...new Set(r)],[w]=function(A){let e=E;for(let t of A){let A=e.filter(A=>A.V.has(t));if(!A.length){if(e===E)throw error_disallowed(t);throw error_group_member(e[0],t)}if(e=A,1==A.length)break}return e}(o);(function(A,e){let{V:t,M:r}=A;for(let r of e)if(!t.has(r))throw error_group_member(A,r);if(r){let A=decomposed(e).map(unpack_cp);for(let e=1,t=A.length;e<t;e++)if(a.has(A[e])){let r=e+1;for(let C;r<t&&a.has(C=A[r]);r++)for(let t=e;t<r;t++)if(A[t]==C)throw Error(`non-spacing marks: repeated ${quoted_cp(C)}`);if(r-e>4)throw Error(`non-spacing marks: too many ${bidi_qq(safe_str_from_cps(A.slice(e-1,r)))} (${r-e}/4)`);e=r}}})(w,r),function(A,e){let t;let r=[];for(let A of e){let e=h.get(A);if(1===e)return;if(e){let r=e.M.get(A);if(!(t=t?t.filter(A=>r.has(A)):[...r]).length)return}else r.push(A)}if(t){for(let e of t)if(r.every(A=>e.V.has(A)))throw Error(`whole-script confusable: ${A.N}/${e.N}`)}}(w,o),A=w.N}else A="Emoji"}else throw Error("empty label");o.type=A}catch(A){o.error=A}return o.output=e,o})).map(({input:A,error:t,output:r})=>{if(t){let r=t.message;throw Error(1==e.length?r:`Invalid label ${bidi_qq(safe_str_from_cps(A))}: ${r}`)}return str_from_cps(r)}).join(".")}t(93613),t(55573),t(28314),t(39873),t(11738),t(30514),t(3492)}}]);

Line numbers count LF bytes from the start of the resource, as the search results do. Vendor segments are library code the classifier recognised; they are stored but not indexed. Bytes are shown as Latin1 characters, one per byte.