{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Motif identification in STUMPY\n",
    "\n",
    "Idea is to create little pipeline to identify patterns(motifs), pick the top ones and evaluate them by profitability(or some other condition). \n",
    "\n",
    "* load/resample data\n",
    "* apply differencing\n",
    "* calculate motifs with length N\n",
    "* evaluate most prominent motifs (either backtest with certain SL/TP or timebased exit or some other condition)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load ohlcv dataframe\n",
    "\n",
    "This part just loads ohlcv_df dataframe from local cache. Replace by your ohlcv dataframe."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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T=65536,P=n.getTypeOf(y),c=!0;if(P==="uint8array"?c=b.applyCanBeUsed.uint8array:P==="nodebuffer"&&(c=b.applyCanBeUsed.nodebuffer),c)for(;1<T;)try{return b.stringifyByChunk(y,P,T)}catch{T=Math.floor(T/2)}return b.stringifyByChar(y)}function m(y,T){for(var P=0;P<y.length;P++)T[P]=y[P];return T}n.applyFromCharCode=g;var C={};C.string={string:u,array:function(y){return p(y,new Array(y.length))},arraybuffer:function(y){return C.string.uint8array(y).buffer},uint8array:function(y){return p(y,new Uint8Array(y.length))},nodebuffer:function(y){return p(y,i.allocBuffer(y.length))}},C.array={string:g,array:u,arraybuffer:function(y){return new Uint8Array(y).buffer},uint8array:function(y){return new Uint8Array(y)},nodebuffer:function(y){return i.newBufferFrom(y)}},C.arraybuffer={string:function(y){return g(new Uint8Array(y))},array:function(y){return m(new Uint8Array(y),new Array(y.byteLength))},arraybuffer:u,uint8array:function(y){return new Uint8Array(y)},nodebuffer:function(y){return i.newBufferFrom(new Uint8Array(y))}},C.uint8array={string:g,array:function(y){return m(y,new Array(y.length))},arraybuffer:function(y){return y.buffer},uint8array:u,nodebuffer:function(y){return i.newBufferFrom(y)}},C.nodebuffer={string:g,array:function(y){return m(y,new Array(y.length))},arraybuffer:function(y){return C.nodebuffer.uint8array(y).buffer},uint8array:function(y){return m(y,new Uint8Array(y.length))},nodebuffer:u},n.transformTo=function(y,T){if(T=T||"",!y)return T;n.checkSupport(y);var P=n.getTypeOf(T);return C[P][y](T)},n.resolve=function(y){for(var T=y.split("/"),P=[],c=0;c<T.length;c++){var l=T[c];l==="."||l===""&&c!==0&&c!==T.length-1||(l===".."?P.pop():P.push(l))}return P.join("/")},n.getTypeOf=function(y){return typeof y=="string"?"string":Object.prototype.toString.call(y)==="[object Array]"?"array":r.nodebuffer&&i.isBuffer(y)?"nodebuffer":r.uint8array&&y instanceof Uint8Array?"uint8array":r.arraybuffer&&y instanceof ArrayBuffer?"arraybuffer":void 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Is it in a supported JavaScript type (String, Blob, ArrayBuffer, etc) ?"))})}},{"./base64":1,"./external":6,"./nodejsUtils":14,"./support":30,setimmediate:54}],33:[function(t,e,n){"use strict";var r=t("./reader/readerFor"),s=t("./utils"),i=t("./signature"),o=t("./zipEntry"),u=t("./support");function p(b){this.files=[],this.loadOptions=b}p.prototype={checkSignature:function(b){if(!this.reader.readAndCheckSignature(b)){this.reader.index-=4;var g=this.reader.readString(4);throw new Error("Corrupted zip or bug: unexpected signature ("+s.pretty(g)+", expected "+s.pretty(b)+")")}},isSignature:function(b,g){var m=this.reader.index;this.reader.setIndex(b);var C=this.reader.readString(4)===g;return this.reader.setIndex(m),C},readBlockEndOfCentral:function(){this.diskNumber=this.reader.readInt(2),this.diskWithCentralDirStart=this.reader.readInt(2),this.centralDirRecordsOnThisDisk=this.reader.readInt(2),this.centralDirRecords=this.reader.readInt(2),this.centralDirSize=this.reader.readInt(4),this.centralDirOffset=this.reader.readInt(4),this.zipCommentLength=this.reader.readInt(2);var b=this.reader.readData(this.zipCommentLength),g=u.uint8array?"uint8array":"array",m=s.transformTo(g,b);this.zipComment=this.loadOptions.decodeFileName(m)},readBlockZip64EndOfCentral:function(){this.zip64EndOfCentralSize=this.reader.readInt(8),this.reader.skip(4),this.diskNumber=this.reader.readInt(4),this.diskWithCentralDirStart=this.reader.readInt(4),this.centralDirRecordsOnThisDisk=this.reader.readInt(8),this.centralDirRecords=this.reader.readInt(8),this.centralDirSize=this.reader.readInt(8),this.centralDirOffset=this.reader.readInt(8),this.zip64ExtensibleData={};for(var b,g,m,C=this.zip64EndOfCentralSize-44;0<C;)b=this.reader.readInt(2),g=this.reader.readInt(4),m=this.reader.readData(g),this.zip64ExtensibleData[b]={id:b,length:g,value:m}},readBlockZip64EndOfCentralLocator:function(){if(this.diskWithZip64CentralDirStart=this.reader.readInt(4),this.relativeOffsetEndOfZip64CentralDir=this.reader.readInt(8),this.disksCount=this.reader.readInt(4),1<this.disksCount)throw new Error("Multi-volumes zip are not supported")},readLocalFiles:function(){var b,g;for(b=0;b<this.files.length;b++)g=this.files[b],this.reader.setIndex(g.localHeaderOffset),this.checkSignature(i.LOCAL_FILE_HEADER),g.readLocalPart(this.reader),g.handleUTF8(),g.processAttributes()},readCentralDir:function(){var b;for(this.reader.setIndex(this.centralDirOffset);this.reader.readAndCheckSignature(i.CENTRAL_FILE_HEADER);)(b=new o({zip64:this.zip64},this.loadOptions)).readCentralPart(this.reader),this.files.push(b);if(this.centralDirRecords!==this.files.length&&this.centralDirRecords!==0&&this.files.length===0)throw new Error("Corrupted zip or bug: expected "+this.centralDirRecords+" records in central dir, got "+this.files.length)},readEndOfCentral:function(){var b=this.reader.lastIndexOfSignature(i.CENTRAL_DIRECTORY_END);if(b<0)throw this.isSignature(0,i.LOCAL_FILE_HEADER)?new Error("Corrupted zip: can't find end of central directory"):new Error("Can't find end of central directory : is this a zip file ? If it is, see https://stuk.github.io/jszip/documentation/howto/read_zip.html");this.reader.setIndex(b);var g=b;if(this.checkSignature(i.CENTRAL_DIRECTORY_END),this.readBlockEndOfCentral(),this.diskNumber===s.MAX_VALUE_16BITS||this.diskWithCentralDirStart===s.MAX_VALUE_16BITS||this.centralDirRecordsOnThisDisk===s.MAX_VALUE_16BITS||this.centralDirRecords===s.MAX_VALUE_16BITS||this.centralDirSize===s.MAX_VALUE_32BITS||this.centralDirOffset===s.MAX_VALUE_32BITS){if(this.zip64=!0,(b=this.reader.lastIndexOfSignature(i.ZIP64_CENTRAL_DIRECTORY_LOCATOR))<0)throw new Error("Corrupted zip: can't find the ZIP64 end of central directory locator");if(this.reader.setIndex(b),this.checkSignature(i.ZIP64_CENTRAL_DIRECTORY_LOCATOR),this.readBlockZip64EndOfCentralLocator(),!this.isSignature(this.relativeOffsetEndOfZip64CentralDir,i.ZIP64_CENTRAL_DIRECTORY_END)&&(this.relativeOffsetEndOfZip64CentralDir=this.reader.lastIndexOfSignature(i.ZIP64_CENTRAL_DIRECTORY_END),this.relativeOffsetEndOfZip64CentralDir<0))throw new Error("Corrupted zip: can't find the ZIP64 end of central directory");this.reader.setIndex(this.relativeOffsetEndOfZip64CentralDir),this.checkSignature(i.ZIP64_CENTRAL_DIRECTORY_END),this.readBlockZip64EndOfCentral()}var m=this.centralDirOffset+this.centralDirSize;this.zip64&&(m+=20,m+=12+this.zip64EndOfCentralSize);var C=g-m;if(0<C)this.isSignature(g,i.CENTRAL_FILE_HEADER)||(this.reader.zero=C);else if(C<0)throw new Error("Corrupted zip: missing "+Math.abs(C)+" bytes.")},prepareReader:function(b){this.reader=r(b)},load:function(b){this.prepareReader(b),this.readEndOfCentral(),this.readCentralDir(),this.readLocalFiles()}},e.exports=p},{"./reader/readerFor":22,"./signature":23,"./support":30,"./utils":32,"./zipEntry":34}],34:[function(t,e,n){"use strict";var r=t("./reader/readerFor"),s=t("./utils"),i=t("./compressedObject"),o=t("./crc32"),u=t("./utf8"),p=t("./compressions"),b=t("./support");function g(m,C){this.options=m,this.loadOptions=C}g.prototype={isEncrypted:function(){return(1&this.bitFlag)==1},useUTF8:function(){return(2048&this.bitFlag)==2048},readLocalPart:function(m){var C,y;if(m.skip(22),this.fileNameLength=m.readInt(2),y=m.readInt(2),this.fileName=m.readData(this.fileNameLength),m.skip(y),this.compressedSize===-1||this.uncompressedSize===-1)throw new Error("Bug or corrupted zip : didn't get enough information from the central directory (compressedSize === -1 || uncompressedSize === -1)");if((C=function(T){for(var P in p)if(Object.prototype.hasOwnProperty.call(p,P)&&p[P].magic===T)return p[P];return null}(this.compressionMethod))===null)throw new Error("Corrupted zip : compression "+s.pretty(this.compressionMethod)+" unknown (inner file : "+s.transformTo("string",this.fileName)+")");this.decompressed=new i(this.compressedSize,this.uncompressedSize,this.crc32,C,m.readData(this.compressedSize))},readCentralPart:function(m){this.versionMadeBy=m.readInt(2),m.skip(2),this.bitFlag=m.readInt(2),this.compressionMethod=m.readString(2),this.date=m.readDate(),this.crc32=m.readInt(4),this.compressedSize=m.readInt(4),this.uncompressedSize=m.readInt(4);var C=m.readInt(2);if(this.extraFieldsLength=m.readInt(2),this.fileCommentLength=m.readInt(2),this.diskNumberStart=m.readInt(2),this.internalFileAttributes=m.readInt(2),this.externalFileAttributes=m.readInt(4),this.localHeaderOffset=m.readInt(4),this.isEncrypted())throw new Error("Encrypted zip are not supported");m.skip(C),this.readExtraFields(m),this.parseZIP64ExtraField(m),this.fileComment=m.readData(this.fileCommentLength)},processAttributes:function(){this.unixPermissions=null,this.dosPermissions=null;var m=this.versionMadeBy>>8;this.dir=!!(16&this.externalFileAttributes),m==0&&(this.dosPermissions=63&this.externalFileAttributes),m==3&&(this.unixPermissions=this.externalFileAttributes>>16&65535),this.dir||this.fileNameStr.slice(-1)!=="/"||(this.dir=!0)},parseZIP64ExtraField:function(){if(this.extraFields[1]){var m=r(this.extraFields[1].value);this.uncompressedSize===s.MAX_VALUE_32BITS&&(this.uncompressedSize=m.readInt(8)),this.compressedSize===s.MAX_VALUE_32BITS&&(this.compressedSize=m.readInt(8)),this.localHeaderOffset===s.MAX_VALUE_32BITS&&(this.localHeaderOffset=m.readInt(8)),this.diskNumberStart===s.MAX_VALUE_32BITS&&(this.diskNumberStart=m.readInt(4))}},readExtraFields:function(m){var C,y,T,P=m.index+this.extraFieldsLength;for(this.extraFields||(this.extraFields={});m.index+4<P;)C=m.readInt(2),y=m.readInt(2),T=m.readData(y),this.extraFields[C]={id:C,length:y,value:T};m.setIndex(P)},handleUTF8:function(){var m=b.uint8array?"uint8array":"array";if(this.useUTF8())this.fileNameStr=u.utf8decode(this.fileName),this.fileCommentStr=u.utf8decode(this.fileComment);else{var C=this.findExtraFieldUnicodePath();if(C!==null)this.fileNameStr=C;else{var y=s.transformTo(m,this.fileName);this.fileNameStr=this.loadOptions.decodeFileName(y)}var T=this.findExtraFieldUnicodeComment();if(T!==null)this.fileCommentStr=T;else{var P=s.transformTo(m,this.fileComment);this.fileCommentStr=this.loadOptions.decodeFileName(P)}}},findExtraFieldUnicodePath:function(){var m=this.extraFields[28789];if(m){var C=r(m.value);return C.readInt(1)!==1||o(this.fileName)!==C.readInt(4)?null:u.utf8decode(C.readData(m.length-5))}return null},findExtraFieldUnicodeComment:function(){var m=this.extraFields[25461];if(m){var C=r(m.value);return C.readInt(1)!==1||o(this.fileComment)!==C.readInt(4)?null:u.utf8decode(C.readData(m.length-5))}return null}},e.exports=g},{"./compressedObject":2,"./compressions":3,"./crc32":4,"./reader/readerFor":22,"./support":30,"./utf8":31,"./utils":32}],35:[function(t,e,n){"use strict";function r(C,y,T){this.name=C,this.dir=T.dir,this.date=T.date,this.comment=T.comment,this.unixPermissions=T.unixPermissions,this.dosPermissions=T.dosPermissions,this._data=y,this._dataBinary=T.binary,this.options={compression:T.compression,compressionOptions:T.compressionOptions}}var s=t("./stream/StreamHelper"),i=t("./stream/DataWorker"),o=t("./utf8"),u=t("./compressedObject"),p=t("./stream/GenericWorker");r.prototype={internalStream:function(C){var y=null,T="string";try{if(!C)throw new Error("No output type specified.");var P=(T=C.toLowerCase())==="string"||T==="text";T!=="binarystring"&&T!=="text"||(T="string"),y=this._decompressWorker();var c=!this._dataBinary;c&&!P&&(y=y.pipe(new o.Utf8EncodeWorker)),!c&&P&&(y=y.pipe(new o.Utf8DecodeWorker))}catch(l){(y=new p("error")).error(l)}return new s(y,T,"")},async:function(C,y){return this.internalStream(C).accumulate(y)},nodeStream:function(C,y){return this.internalStream(C||"nodebuffer").toNodejsStream(y)},_compressWorker:function(C,y){if(this._data instanceof u&&this._data.compression.magic===C.magic)return this._data.getCompressedWorker();var T=this._decompressWorker();return this._dataBinary||(T=T.pipe(new o.Utf8EncodeWorker)),u.createWorkerFrom(T,C,y)},_decompressWorker:function(){return this._data instanceof u?this._data.getContentWorker():this._data instanceof p?this._data:new i(this._data)}};for(var b=["asText","asBinary","asNodeBuffer","asUint8Array","asArrayBuffer"],g=function(){throw new Error("This method has been removed in JSZip 3.0, please check the upgrade 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y(P,c){var l=!1;function h(O){l||(l=!0,i.reject(P,O))}function _(O){l||(l=!0,i.resolve(P,O))}var F=T(function(){c(_,h)});F.status==="error"&&h(F.value)}function T(P,c){var l={};try{l.value=P(c),l.status="success"}catch(h){l.status="error",l.value=h}return l}(e.exports=b).prototype.finally=function(P){if(typeof P!="function")return this;var c=this.constructor;return this.then(function(l){return c.resolve(P()).then(function(){return l})},function(l){return c.resolve(P()).then(function(){throw l})})},b.prototype.catch=function(P){return this.then(null,P)},b.prototype.then=function(P,c){if(typeof P!="function"&&this.state===u||typeof c!="function"&&this.state===o)return this;var l=new this.constructor(s);return this.state!==p?m(l,this.state===u?P:c,this.outcome):this.queue.push(new 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if(D.match_available){if((V=i._tr_tally(D,0,D.window[D.strstart-1]))&&G(D,!1),D.strstart++,D.lookahead--,D.strm.avail_out===0)return w}else D.match_available=1,D.strstart++,D.lookahead--}return D.match_available&&(V=i._tr_tally(D,0,D.window[D.strstart-1]),D.match_available=0),D.insert=D.strstart<U-1?D.strstart:U-1,ut===g?(G(D,!0),D.strm.avail_out===0?S:B):D.last_lit&&(G(D,!1),D.strm.avail_out===0)?w:k}function kt(D,ut,ot,V,j){this.good_length=D,this.max_lazy=ut,this.nice_length=ot,this.max_chain=V,this.func=j}function Lt(){this.strm=null,this.status=0,this.pending_buf=null,this.pending_buf_size=0,this.pending_out=0,this.pending=0,this.wrap=0,this.gzhead=null,this.gzindex=0,this.method=c,this.last_flush=-1,this.w_size=0,this.w_bits=0,this.w_mask=0,this.window=null,this.window_size=0,this.prev=null,this.head=null,this.ins_h=0,this.hash_size=0,this.hash_bits=0,this.hash_mask=0,this.hash_shift=0,this.block_start=0,this.match_length=0,this.prev_match=0,this.match_available=0,this.strstart=0,this.match_start=0,this.lookahead=0,this.prev_length=0,this.max_chain_length=0,this.max_lazy_match=0,this.level=0,this.strategy=0,this.good_match=0,this.nice_match=0,this.dyn_ltree=new s.Buf16(2*O),this.dyn_dtree=new s.Buf16(2*(2*_+1)),this.bl_tree=new s.Buf16(2*(2*F+1)),q(this.dyn_ltree),q(this.dyn_dtree),q(this.bl_tree),this.l_desc=null,this.d_desc=null,this.bl_desc=null,this.bl_count=new s.Buf16(f+1),this.heap=new s.Buf16(2*h+1),q(this.heap),this.heap_len=0,this.heap_max=0,this.depth=new s.Buf16(2*h+1),q(this.depth),this.l_buf=0,this.lit_bufsize=0,this.last_lit=0,this.d_buf=0,this.opt_len=0,this.static_len=0,this.matches=0,this.insert=0,this.bi_buf=0,this.bi_valid=0}function Bt(D){var ut;return D&&D.state?(D.total_in=D.total_out=0,D.data_type=P,(ut=D.state).pending=0,ut.pending_out=0,ut.wrap<0&&(ut.wrap=-ut.wrap),ut.status=ut.wrap?E:$,D.adler=ut.wrap===2?0:1,ut.last_flush=b,i._tr_init(ut),m):L(D,C)}function $t(D){var ut=Bt(D);return ut===m&&function(ot){ot.window_size=2*ot.w_size,q(ot.head),ot.max_lazy_match=r[ot.level].max_lazy,ot.good_match=r[ot.level].good_length,ot.nice_match=r[ot.level].nice_length,ot.max_chain_length=r[ot.level].max_chain,ot.strstart=0,ot.block_start=0,ot.lookahead=0,ot.insert=0,ot.match_length=ot.prev_length=U-1,ot.match_available=0,ot.ins_h=0}(D.state),ut}function Kt(D,ut,ot,V,j,K){if(!D)return C;var pt=1;if(ut===y&&(ut=6),V<0?(pt=0,V=-V):15<V&&(pt=2,V-=16),j<1||l<j||ot!==c||V<8||15<V||ut<0||9<ut||K<0||T<K)return L(D,C);V===8&&(V=9);var vt=new Lt;return(D.state=vt).strm=D,vt.wrap=pt,vt.gzhead=null,vt.w_bits=V,vt.w_size=1<<vt.w_bits,vt.w_mask=vt.w_size-1,vt.hash_bits=j+7,vt.hash_size=1<<vt.hash_bits,vt.hash_mask=vt.hash_size-1,vt.hash_shift=~~((vt.hash_bits+U-1)/U),vt.window=new s.Buf8(2*vt.w_size),vt.head=new s.Buf16(vt.hash_size),vt.prev=new s.Buf16(vt.w_size),vt.lit_bufsize=1<<j+6,vt.pending_buf_size=4*vt.lit_bufsize,vt.pending_buf=new s.Buf8(vt.pending_buf_size),vt.d_buf=1*vt.lit_bufsize,vt.l_buf=3*vt.lit_bufsize,vt.level=ut,vt.strategy=K,vt.method=ot,$t(D)}r=[new kt(0,0,0,0,function(D,ut){var ot=65535;for(ot>D.pending_buf_size-5&&(ot=D.pending_buf_size-5);;){if(D.lookahead<=1){if(wt(D),D.lookahead===0&&ut===b)return w;if(D.lookahead===0)break}D.strstart+=D.lookahead,D.lookahead=0;var V=D.block_start+ot;if((D.strstart===0||D.strstart>=V)&&(D.lookahead=D.strstart-V,D.strstart=V,G(D,!1),D.strm.avail_out===0)||D.strstart-D.block_start>=D.w_size-Q&&(G(D,!1),D.strm.avail_out===0))return w}return D.insert=0,ut===g?(G(D,!0),D.strm.avail_out===0?S:B):(D.strstart>D.block_start&&(G(D,!1),D.strm.avail_out),w)}),new kt(4,4,8,4,St),new kt(4,5,16,8,St),new kt(4,6,32,32,St),new kt(4,4,16,16,Tt),new kt(8,16,32,32,Tt),new kt(8,16,128,128,Tt),new kt(8,32,128,256,Tt),new kt(32,128,258,1024,Tt),new kt(32,258,258,4096,Tt)],n.deflateInit=function(D,ut){return Kt(D,ut,c,15,8,0)},n.deflateInit2=Kt,n.deflateReset=$t,n.deflateResetKeep=Bt,n.deflateSetHeader=function(D,ut){return D&&D.state?D.state.wrap!==2?C:(D.state.gzhead=ut,m):C},n.deflate=function(D,ut){var ot,V,j,K;if(!D||!D.state||5<ut||ut<0)return D?L(D,C):C;if(V=D.state,!D.output||!D.input&&D.avail_in!==0||V.status===666&&ut!==g)return L(D,D.avail_out===0?-5:C);if(V.strm=D,ot=V.last_flush,V.last_flush=ut,V.status===E)if(V.wrap===2)D.adler=0,nt(V,31),nt(V,139),nt(V,8),V.gzhead?(nt(V,(V.gzhead.text?1:0)+(V.gzhead.hcrc?2:0)+(V.gzhead.extra?4:0)+(V.gzhead.name?8:0)+(V.gzhead.comment?16:0)),nt(V,255&V.gzhead.time),nt(V,V.gzhead.time>>8&255),nt(V,V.gzhead.time>>16&255),nt(V,V.gzhead.time>>24&255),nt(V,V.level===9?2:2<=V.strategy||V.level<2?4:0),nt(V,255&V.gzhead.os),V.gzhead.extra&&V.gzhead.extra.length&&(nt(V,255&V.gzhead.extra.length),nt(V,V.gzhead.extra.length>>8&255)),V.gzhead.hcrc&&(D.adler=u(D.adler,V.pending_buf,V.pending,0)),V.gzindex=0,V.status=69):(nt(V,0),nt(V,0),nt(V,0),nt(V,0),nt(V,0),nt(V,V.level===9?2:2<=V.strategy||V.level<2?4:0),nt(V,3),V.status=$);else{var pt=c+(V.w_bits-8<<4)<<8;pt|=(2<=V.strategy||V.level<2?0:V.level<6?1:V.level===6?2:3)<<6,V.strstart!==0&&(pt|=32),pt+=31-pt%31,V.status=$,tt(V,pt),V.strstart!==0&&(tt(V,D.adler>>>16),tt(V,65535&D.adler)),D.adler=1}if(V.status===69)if(V.gzhead.extra){for(j=V.pending;V.gzindex<(65535&V.gzhead.extra.length)&&(V.pending!==V.pending_buf_size||(V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),z(D),j=V.pending,V.pending!==V.pending_buf_size));)nt(V,255&V.gzhead.extra[V.gzindex]),V.gzindex++;V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),V.gzindex===V.gzhead.extra.length&&(V.gzindex=0,V.status=73)}else V.status=73;if(V.status===73)if(V.gzhead.name){j=V.pending;do{if(V.pending===V.pending_buf_size&&(V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),z(D),j=V.pending,V.pending===V.pending_buf_size)){K=1;break}K=V.gzindex<V.gzhead.name.length?255&V.gzhead.name.charCodeAt(V.gzindex++):0,nt(V,K)}while(K!==0);V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),K===0&&(V.gzindex=0,V.status=91)}else V.status=91;if(V.status===91)if(V.gzhead.comment){j=V.pending;do{if(V.pending===V.pending_buf_size&&(V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),z(D),j=V.pending,V.pending===V.pending_buf_size)){K=1;break}K=V.gzindex<V.gzhead.comment.length?255&V.gzhead.comment.charCodeAt(V.gzindex++):0,nt(V,K)}while(K!==0);V.gzhead.hcrc&&V.pending>j&&(D.adler=u(D.adler,V.pending_buf,V.pending-j,j)),K===0&&(V.status=103)}else V.status=103;if(V.status===103&&(V.gzhead.hcrc?(V.pending+2>V.pending_buf_size&&z(D),V.pending+2<=V.pending_buf_size&&(nt(V,255&D.adler),nt(V,D.adler>>8&255),D.adler=0,V.status=$)):V.status=$),V.pending!==0){if(z(D),D.avail_out===0)return V.last_flush=-1,m}else if(D.avail_in===0&&R(ut)<=R(ot)&&ut!==g)return L(D,-5);if(V.status===666&&D.avail_in!==0)return L(D,-5);if(D.avail_in!==0||V.lookahead!==0||ut!==b&&V.status!==666){var vt=V.strategy===2?function(rt,gt){for(var Ct;;){if(rt.lookahead===0&&(wt(rt),rt.lookahead===0)){if(gt===b)return w;break}if(rt.match_length=0,Ct=i._tr_tally(rt,0,rt.window[rt.strstart]),rt.lookahead--,rt.strstart++,Ct&&(G(rt,!1),rt.strm.avail_out===0))return w}return rt.insert=0,gt===g?(G(rt,!0),rt.strm.avail_out===0?S:B):rt.last_lit&&(G(rt,!1),rt.strm.avail_out===0)?w:k}(V,ut):V.strategy===3?function(rt,gt){for(var Ct,xt,mt,zt,Gt=rt.window;;){if(rt.lookahead<=X){if(wt(rt),rt.lookahead<=X&&gt===b)return w;if(rt.lookahead===0)break}if(rt.match_length=0,rt.lookahead>=U&&0<rt.strstart&&(xt=Gt[mt=rt.strstart-1])===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]){zt=rt.strstart+X;do;while(xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&xt===Gt[++mt]&&mt<zt);rt.match_length=X-(zt-mt),rt.match_length>rt.lookahead&&(rt.match_length=rt.lookahead)}if(rt.match_length>=U?(Ct=i._tr_tally(rt,1,rt.match_length-U),rt.lookahead-=rt.match_length,rt.strstart+=rt.match_length,rt.match_length=0):(Ct=i._tr_tally(rt,0,rt.window[rt.strstart]),rt.lookahead--,rt.strstart++),Ct&&(G(rt,!1),rt.strm.avail_out===0))return w}return rt.insert=0,gt===g?(G(rt,!0),rt.strm.avail_out===0?S:B):rt.last_lit&&(G(rt,!1),rt.strm.avail_out===0)?w:k}(V,ut):r[V.level].func(V,ut);if(vt!==S&&vt!==B||(V.status=666),vt===w||vt===S)return D.avail_out===0&&(V.last_flush=-1),m;if(vt===k&&(ut===1?i._tr_align(V):ut!==5&&(i._tr_stored_block(V,0,0,!1),ut===3&&(q(V.head),V.lookahead===0&&(V.strstart=0,V.block_start=0,V.insert=0))),z(D),D.avail_out===0))return V.last_flush=-1,m}return ut!==g?m:V.wrap<=0?1:(V.wrap===2?(nt(V,255&D.adler),nt(V,D.adler>>8&255),nt(V,D.adler>>16&255),nt(V,D.adler>>24&255),nt(V,255&D.total_in),nt(V,D.total_in>>8&255),nt(V,D.total_in>>16&255),nt(V,D.total_in>>24&255)):(tt(V,D.adler>>>16),tt(V,65535&D.adler)),z(D),0<V.wrap&&(V.wrap=-V.wrap),V.pending!==0?m:1)},n.deflateEnd=function(D){var ut;return D&&D.state?(ut=D.state.status)!==E&&ut!==69&&ut!==73&&ut!==91&&ut!==103&&ut!==$&&ut!==666?L(D,C):(D.state=null,ut===$?L(D,-3):m):C},n.deflateSetDictionary=function(D,ut){var ot,V,j,K,pt,vt,rt,gt,Ct=ut.length;if(!D||!D.state||(K=(ot=D.state).wrap)===2||K===1&&ot.status!==E||ot.lookahead)return C;for(K===1&&(D.adler=o(D.adler,ut,Ct,0)),ot.wrap=0,Ct>=ot.w_size&&(K===0&&(q(ot.head),ot.strstart=0,ot.block_start=0,ot.insert=0),gt=new s.Buf8(ot.w_size),s.arraySet(gt,ut,Ct-ot.w_size,ot.w_size,0),ut=gt,Ct=ot.w_size),pt=D.avail_in,vt=D.next_in,rt=D.input,D.avail_in=Ct,D.next_in=0,D.input=ut,wt(ot);ot.lookahead>=U;){for(V=ot.strstart,j=ot.lookahead-(U-1);ot.ins_h=(ot.ins_h<<ot.hash_shift^ot.window[V+U-1])&ot.hash_mask,ot.prev[V&ot.w_mask]=ot.head[ot.ins_h],ot.head[ot.ins_h]=V,V++,--j;);ot.strstart=V,ot.lookahead=U-1,wt(ot)}return ot.strstart+=ot.lookahead,ot.block_start=ot.strstart,ot.insert=ot.lookahead,ot.lookahead=0,ot.match_length=ot.prev_length=U-1,ot.match_available=0,D.next_in=vt,D.input=rt,D.avail_in=pt,ot.wrap=K,m},n.deflateInfo="pako deflate (from Nodeca project)"},{"../utils/common":41,"./adler32":43,"./crc32":45,"./messages":51,"./trees":52}],47:[function(t,e,n){"use strict";e.exports=function(){this.text=0,this.time=0,this.xflags=0,this.os=0,this.extra=null,this.extra_len=0,this.name="",this.comment="",this.hcrc=0,this.done=!1}},{}],48:[function(t,e,n){"use strict";e.exports=function(r,s){var i,o,u,p,b,g,m,C,y,T,P,c,l,h,_,F,O,f,U,X,Q,E,$,w,k;i=r.state,o=r.next_in,w=r.input,u=o+(r.avail_in-5),p=r.next_out,k=r.output,b=p-(s-r.avail_out),g=p+(r.avail_out-257),m=i.dmax,C=i.wsize,y=i.whave,T=i.wnext,P=i.window,c=i.hold,l=i.bits,h=i.lencode,_=i.distcode,F=(1<<i.lenbits)-1,O=(1<<i.distbits)-1;t:do{l<15&&(c+=w[o++]<<l,l+=8,c+=w[o++]<<l,l+=8),f=h[c&F];e:for(;;){if(c>>>=U=f>>>24,l-=U,(U=f>>>16&255)===0)k[p++]=65535&f;else{if(!(16&U)){if(!(64&U)){f=h[(65535&f)+(c&(1<<U)-1)];continue e}if(32&U){i.mode=12;break t}r.msg="invalid literal/length code",i.mode=30;break t}X=65535&f,(U&=15)&&(l<U&&(c+=w[o++]<<l,l+=8),X+=c&(1<<U)-1,c>>>=U,l-=U),l<15&&(c+=w[o++]<<l,l+=8,c+=w[o++]<<l,l+=8),f=_[c&O];n:for(;;){if(c>>>=U=f>>>24,l-=U,!(16&(U=f>>>16&255))){if(!(64&U)){f=_[(65535&f)+(c&(1<<U)-1)];continue n}r.msg="invalid distance code",i.mode=30;break t}if(Q=65535&f,l<(U&=15)&&(c+=w[o++]<<l,(l+=8)<U&&(c+=w[o++]<<l,l+=8)),m<(Q+=c&(1<<U)-1)){r.msg="invalid distance too far back",i.mode=30;break t}if(c>>>=U,l-=U,(U=p-b)<Q){if(y<(U=Q-U)&&i.sane){r.msg="invalid distance too far back",i.mode=30;break t}if($=P,(E=0)===T){if(E+=C-U,U<X){for(X-=U;k[p++]=P[E++],--U;);E=p-Q,$=k}}else if(T<U){if(E+=C+T-U,(U-=T)<X){for(X-=U;k[p++]=P[E++],--U;);if(E=0,T<X){for(X-=U=T;k[p++]=P[E++],--U;);E=p-Q,$=k}}}else if(E+=T-U,U<X){for(X-=U;k[p++]=P[E++],--U;);E=p-Q,$=k}for(;2<X;)k[p++]=$[E++],k[p++]=$[E++],k[p++]=$[E++],X-=3;X&&(k[p++]=$[E++],1<X&&(k[p++]=$[E++]))}else{for(E=p-Q;k[p++]=k[E++],k[p++]=k[E++],k[p++]=k[E++],2<(X-=3););X&&(k[p++]=k[E++],1<X&&(k[p++]=k[E++]))}break}}break}}while(o<u&&p<g);o-=X=l>>3,c&=(1<<(l-=X<<3))-1,r.next_in=o,r.next_out=p,r.avail_in=o<u?u-o+5:5-(o-u),r.avail_out=p<g?g-p+257:257-(p-g),i.hold=c,i.bits=l}},{}],49:[function(t,e,n){"use strict";var r=t("../utils/common"),s=t("./adler32"),i=t("./crc32"),o=t("./inffast"),u=t("./inftrees"),p=1,b=2,g=0,m=-2,C=1,y=852,T=592;function P(E){return(E>>>24&255)+(E>>>8&65280)+((65280&E)<<8)+((255&E)<<24)}function c(){this.mode=0,this.last=!1,this.wrap=0,this.havedict=!1,this.flags=0,this.dmax=0,this.check=0,this.total=0,this.head=null,this.wbits=0,this.wsize=0,this.whave=0,this.wnext=0,this.window=null,this.hold=0,this.bits=0,this.length=0,this.offset=0,this.extra=0,this.lencode=null,this.distcode=null,this.lenbits=0,this.distbits=0,this.ncode=0,this.nlen=0,this.ndist=0,this.have=0,this.next=null,this.lens=new r.Buf16(320),this.work=new r.Buf16(288),this.lendyn=null,this.distdyn=null,this.sane=0,this.back=0,this.was=0}function l(E){var $;return E&&E.state?($=E.state,E.total_in=E.total_out=$.total=0,E.msg="",$.wrap&&(E.adler=1&$.wrap),$.mode=C,$.last=0,$.havedict=0,$.dmax=32768,$.head=null,$.hold=0,$.bits=0,$.lencode=$.lendyn=new r.Buf32(y),$.distcode=$.distdyn=new r.Buf32(T),$.sane=1,$.back=-1,g):m}function h(E){var $;return E&&E.state?(($=E.state).wsize=0,$.whave=0,$.wnext=0,l(E)):m}function _(E,$){var w,k;return E&&E.state?(k=E.state,$<0?(w=0,$=-$):(w=1+($>>4),$<48&&($&=15)),$&&($<8||15<$)?m:(k.window!==null&&k.wbits!==$&&(k.window=null),k.wrap=w,k.wbits=$,h(E))):m}function F(E,$){var w,k;return E?(k=new c,(E.state=k).window=null,(w=_(E,$))!==g&&(E.state=null),w):m}var O,f,U=!0;function X(E){if(U){var $;for(O=new r.Buf32(512),f=new r.Buf32(32),$=0;$<144;)E.lens[$++]=8;for(;$<256;)E.lens[$++]=9;for(;$<280;)E.lens[$++]=7;for(;$<288;)E.lens[$++]=8;for(u(p,E.lens,0,288,O,0,E.work,{bits:9}),$=0;$<32;)E.lens[$++]=5;u(b,E.lens,0,32,f,0,E.work,{bits:5}),U=!1}E.lencode=O,E.lenbits=9,E.distcode=f,E.distbits=5}function Q(E,$,w,k){var S,B=E.state;return B.window===null&&(B.wsize=1<<B.wbits,B.wnext=0,B.whave=0,B.window=new r.Buf8(B.wsize)),k>=B.wsize?(r.arraySet(B.window,$,w-B.wsize,B.wsize,0),B.wnext=0,B.whave=B.wsize):(k<(S=B.wsize-B.wnext)&&(S=k),r.arraySet(B.window,$,w-k,S,B.wnext),(k-=S)?(r.arraySet(B.window,$,w-k,k,0),B.wnext=k,B.whave=B.wsize):(B.wnext+=S,B.wnext===B.wsize&&(B.wnext=0),B.whave<B.wsize&&(B.whave+=S))),0}n.inflateReset=h,n.inflateReset2=_,n.inflateResetKeep=l,n.inflateInit=function(E){return F(E,15)},n.inflateInit2=F,n.inflate=function(E,$){var w,k,S,B,L,R,q,z,G,nt,tt,et,wt,St,Tt,kt,Lt,Bt,$t,Kt,D,ut,ot,V,j=0,K=new r.Buf8(4),pt=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];if(!E||!E.state||!E.output||!E.input&&E.avail_in!==0)return m;(w=E.state).mode===12&&(w.mode=13),L=E.next_out,S=E.output,q=E.avail_out,B=E.next_in,k=E.input,R=E.avail_in,z=w.hold,G=w.bits,nt=R,tt=q,ut=g;t:for(;;)switch(w.mode){case C:if(w.wrap===0){w.mode=13;break}for(;G<16;){if(R===0)break 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t;R--,z+=k[B++]<<G,G+=8}w.head&&(w.head.time=z),512&w.flags&&(K[0]=255&z,K[1]=z>>>8&255,K[2]=z>>>16&255,K[3]=z>>>24&255,w.check=i(w.check,K,4,0)),G=z=0,w.mode=4;case 4:for(;G<16;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.head&&(w.head.xflags=255&z,w.head.os=z>>8),512&w.flags&&(K[0]=255&z,K[1]=z>>>8&255,w.check=i(w.check,K,2,0)),G=z=0,w.mode=5;case 5:if(1024&w.flags){for(;G<16;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.length=z,w.head&&(w.head.extra_len=z),512&w.flags&&(K[0]=255&z,K[1]=z>>>8&255,w.check=i(w.check,K,2,0)),G=z=0}else w.head&&(w.head.extra=null);w.mode=6;case 6:if(1024&w.flags&&(R<(et=w.length)&&(et=R),et&&(w.head&&(D=w.head.extra_len-w.length,w.head.extra||(w.head.extra=new Array(w.head.extra_len)),r.arraySet(w.head.extra,k,B,et,D)),512&w.flags&&(w.check=i(w.check,k,et,B)),R-=et,B+=et,w.length-=et),w.length))break t;w.length=0,w.mode=7;case 7:if(2048&w.flags){if(R===0)break t;for(et=0;D=k[B+et++],w.head&&D&&w.length<65536&&(w.head.name+=String.fromCharCode(D)),D&&et<R;);if(512&w.flags&&(w.check=i(w.check,k,et,B)),R-=et,B+=et,D)break t}else w.head&&(w.head.name=null);w.length=0,w.mode=8;case 8:if(4096&w.flags){if(R===0)break t;for(et=0;D=k[B+et++],w.head&&D&&w.length<65536&&(w.head.comment+=String.fromCharCode(D)),D&&et<R;);if(512&w.flags&&(w.check=i(w.check,k,et,B)),R-=et,B+=et,D)break t}else w.head&&(w.head.comment=null);w.mode=9;case 9:if(512&w.flags){for(;G<16;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(z!==(65535&w.check)){E.msg="header crc mismatch",w.mode=30;break}G=z=0}w.head&&(w.head.hcrc=w.flags>>9&1,w.head.done=!0),E.adler=w.check=0,w.mode=12;break;case 10:for(;G<32;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}E.adler=w.check=P(z),G=z=0,w.mode=11;case 11:if(w.havedict===0)return E.next_out=L,E.avail_out=q,E.next_in=B,E.avail_in=R,w.hold=z,w.bits=G,2;E.adler=w.check=1,w.mode=12;case 12:if($===5||$===6)break t;case 13:if(w.last){z>>>=7&G,G-=7&G,w.mode=27;break}for(;G<3;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}switch(w.last=1&z,G-=1,3&(z>>>=1)){case 0:w.mode=14;break;case 1:if(X(w),w.mode=20,$!==6)break;z>>>=2,G-=2;break t;case 2:w.mode=17;break;case 3:E.msg="invalid block type",w.mode=30}z>>>=2,G-=2;break;case 14:for(z>>>=7&G,G-=7&G;G<32;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if((65535&z)!=(z>>>16^65535)){E.msg="invalid stored block lengths",w.mode=30;break}if(w.length=65535&z,G=z=0,w.mode=15,$===6)break t;case 15:w.mode=16;case 16:if(et=w.length){if(R<et&&(et=R),q<et&&(et=q),et===0)break t;r.arraySet(S,k,B,et,L),R-=et,B+=et,q-=et,L+=et,w.length-=et;break}w.mode=12;break;case 17:for(;G<14;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(w.nlen=257+(31&z),z>>>=5,G-=5,w.ndist=1+(31&z),z>>>=5,G-=5,w.ncode=4+(15&z),z>>>=4,G-=4,286<w.nlen||30<w.ndist){E.msg="too many length or distance symbols",w.mode=30;break}w.have=0,w.mode=18;case 18:for(;w.have<w.ncode;){for(;G<3;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.lens[pt[w.have++]]=7&z,z>>>=3,G-=3}for(;w.have<19;)w.lens[pt[w.have++]]=0;if(w.lencode=w.lendyn,w.lenbits=7,ot={bits:w.lenbits},ut=u(0,w.lens,0,19,w.lencode,0,w.work,ot),w.lenbits=ot.bits,ut){E.msg="invalid code lengths set",w.mode=30;break}w.have=0,w.mode=19;case 19:for(;w.have<w.nlen+w.ndist;){for(;kt=(j=w.lencode[z&(1<<w.lenbits)-1])>>>16&255,Lt=65535&j,!((Tt=j>>>24)<=G);){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(Lt<16)z>>>=Tt,G-=Tt,w.lens[w.have++]=Lt;else{if(Lt===16){for(V=Tt+2;G<V;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(z>>>=Tt,G-=Tt,w.have===0){E.msg="invalid bit length repeat",w.mode=30;break}D=w.lens[w.have-1],et=3+(3&z),z>>>=2,G-=2}else if(Lt===17){for(V=Tt+3;G<V;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}G-=Tt,D=0,et=3+(7&(z>>>=Tt)),z>>>=3,G-=3}else{for(V=Tt+7;G<V;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}G-=Tt,D=0,et=11+(127&(z>>>=Tt)),z>>>=7,G-=7}if(w.have+et>w.nlen+w.ndist){E.msg="invalid bit length repeat",w.mode=30;break}for(;et--;)w.lens[w.have++]=D}}if(w.mode===30)break;if(w.lens[256]===0){E.msg="invalid code -- missing end-of-block",w.mode=30;break}if(w.lenbits=9,ot={bits:w.lenbits},ut=u(p,w.lens,0,w.nlen,w.lencode,0,w.work,ot),w.lenbits=ot.bits,ut){E.msg="invalid literal/lengths set",w.mode=30;break}if(w.distbits=6,w.distcode=w.distdyn,ot={bits:w.distbits},ut=u(b,w.lens,w.nlen,w.ndist,w.distcode,0,w.work,ot),w.distbits=ot.bits,ut){E.msg="invalid distances set",w.mode=30;break}if(w.mode=20,$===6)break t;case 20:w.mode=21;case 21:if(6<=R&&258<=q){E.next_out=L,E.avail_out=q,E.next_in=B,E.avail_in=R,w.hold=z,w.bits=G,o(E,tt),L=E.next_out,S=E.output,q=E.avail_out,B=E.next_in,k=E.input,R=E.avail_in,z=w.hold,G=w.bits,w.mode===12&&(w.back=-1);break}for(w.back=0;kt=(j=w.lencode[z&(1<<w.lenbits)-1])>>>16&255,Lt=65535&j,!((Tt=j>>>24)<=G);){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(kt&&!(240&kt)){for(Bt=Tt,$t=kt,Kt=Lt;kt=(j=w.lencode[Kt+((z&(1<<Bt+$t)-1)>>Bt)])>>>16&255,Lt=65535&j,!(Bt+(Tt=j>>>24)<=G);){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}z>>>=Bt,G-=Bt,w.back+=Bt}if(z>>>=Tt,G-=Tt,w.back+=Tt,w.length=Lt,kt===0){w.mode=26;break}if(32&kt){w.back=-1,w.mode=12;break}if(64&kt){E.msg="invalid literal/length code",w.mode=30;break}w.extra=15&kt,w.mode=22;case 22:if(w.extra){for(V=w.extra;G<V;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.length+=z&(1<<w.extra)-1,z>>>=w.extra,G-=w.extra,w.back+=w.extra}w.was=w.length,w.mode=23;case 23:for(;kt=(j=w.distcode[z&(1<<w.distbits)-1])>>>16&255,Lt=65535&j,!((Tt=j>>>24)<=G);){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(!(240&kt)){for(Bt=Tt,$t=kt,Kt=Lt;kt=(j=w.distcode[Kt+((z&(1<<Bt+$t)-1)>>Bt)])>>>16&255,Lt=65535&j,!(Bt+(Tt=j>>>24)<=G);){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}z>>>=Bt,G-=Bt,w.back+=Bt}if(z>>>=Tt,G-=Tt,w.back+=Tt,64&kt){E.msg="invalid distance code",w.mode=30;break}w.offset=Lt,w.extra=15&kt,w.mode=24;case 24:if(w.extra){for(V=w.extra;G<V;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}w.offset+=z&(1<<w.extra)-1,z>>>=w.extra,G-=w.extra,w.back+=w.extra}if(w.offset>w.dmax){E.msg="invalid distance too far back",w.mode=30;break}w.mode=25;case 25:if(q===0)break t;if(et=tt-q,w.offset>et){if((et=w.offset-et)>w.whave&&w.sane){E.msg="invalid distance too far back",w.mode=30;break}wt=et>w.wnext?(et-=w.wnext,w.wsize-et):w.wnext-et,et>w.length&&(et=w.length),St=w.window}else St=S,wt=L-w.offset,et=w.length;for(q<et&&(et=q),q-=et,w.length-=et;S[L++]=St[wt++],--et;);w.length===0&&(w.mode=21);break;case 26:if(q===0)break t;S[L++]=w.length,q--,w.mode=21;break;case 27:if(w.wrap){for(;G<32;){if(R===0)break t;R--,z|=k[B++]<<G,G+=8}if(tt-=q,E.total_out+=tt,w.total+=tt,tt&&(E.adler=w.check=w.flags?i(w.check,S,tt,L-tt):s(w.check,S,tt,L-tt)),tt=q,(w.flags?z:P(z))!==w.check){E.msg="incorrect data check",w.mode=30;break}G=z=0}w.mode=28;case 28:if(w.wrap&&w.flags){for(;G<32;){if(R===0)break t;R--,z+=k[B++]<<G,G+=8}if(z!==(4294967295&w.total)){E.msg="incorrect length check",w.mode=30;break}G=z=0}w.mode=29;case 29:ut=1;break t;case 30:ut=-3;break t;case 31:return-4;case 32:default:return m}return E.next_out=L,E.avail_out=q,E.next_in=B,E.avail_in=R,w.hold=z,w.bits=G,(w.wsize||tt!==E.avail_out&&w.mode<30&&(w.mode<27||$!==4))&&Q(E,E.output,E.next_out,tt-E.avail_out)?(w.mode=31,-4):(nt-=E.avail_in,tt-=E.avail_out,E.total_in+=nt,E.total_out+=tt,w.total+=tt,w.wrap&&tt&&(E.adler=w.check=w.flags?i(w.check,S,tt,E.next_out-tt):s(w.check,S,tt,E.next_out-tt)),E.data_type=w.bits+(w.last?64:0)+(w.mode===12?128:0)+(w.mode===20||w.mode===15?256:0),(nt==0&&tt===0||$===4)&&ut===g&&(ut=-5),ut)},n.inflateEnd=function(E){if(!E||!E.state)return m;var $=E.state;return $.window&&($.window=null),E.state=null,g},n.inflateGetHeader=function(E,$){var w;return E&&E.state&&2&(w=E.state).wrap?((w.head=$).done=!1,g):m},n.inflateSetDictionary=function(E,$){var w,k=$.length;return E&&E.state?(w=E.state).wrap!==0&&w.mode!==11?m:w.mode===11&&s(1,$,k,0)!==w.check?-3:Q(E,$,k,k)?(w.mode=31,-4):(w.havedict=1,g):m},n.inflateInfo="pako inflate (from Nodeca project)"},{"../utils/common":41,"./adler32":43,"./crc32":45,"./inffast":48,"./inftrees":50}],50:[function(t,e,n){"use strict";var r=t("../utils/common"),s=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258,0,0],i=[16,16,16,16,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,16,72,78],o=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577,0,0],u=[16,16,16,16,17,17,18,18,19,19,20,20,21,21,22,22,23,23,24,24,25,25,26,26,27,27,28,28,29,29,64,64];e.exports=function(p,b,g,m,C,y,T,P){var c,l,h,_,F,O,f,U,X,Q=P.bits,E=0,$=0,w=0,k=0,S=0,B=0,L=0,R=0,q=0,z=0,G=null,nt=0,tt=new r.Buf16(16),et=new r.Buf16(16),wt=null,St=0;for(E=0;E<=15;E++)tt[E]=0;for($=0;$<m;$++)tt[b[g+$]]++;for(S=Q,k=15;1<=k&&tt[k]===0;k--);if(k<S&&(S=k),k===0)return C[y++]=20971520,C[y++]=20971520,P.bits=1,0;for(w=1;w<k&&tt[w]===0;w++);for(S<w&&(S=w),E=R=1;E<=15;E++)if(R<<=1,(R-=tt[E])<0)return-1;if(0<R&&(p===0||k!==1))return-1;for(et[1]=0,E=1;E<15;E++)et[E+1]=et[E]+tt[E];for($=0;$<m;$++)b[g+$]!==0&&(T[et[b[g+$]]++]=$);if(O=p===0?(G=wt=T,19):p===1?(G=s,nt-=257,wt=i,St-=257,256):(G=o,wt=u,-1),E=w,F=y,L=$=z=0,h=-1,_=(q=1<<(B=S))-1,p===1&&852<q||p===2&&592<q)return 1;for(;;){for(f=E-L,X=T[$]<O?(U=0,T[$]):T[$]>O?(U=wt[St+T[$]],G[nt+T[$]]):(U=96,0),c=1<<E-L,w=l=1<<B;C[F+(z>>L)+(l-=c)]=f<<24|U<<16|X|0,l!==0;);for(c=1<<E-1;z&c;)c>>=1;if(c!==0?(z&=c-1,z+=c):z=0,$++,--tt[E]==0){if(E===k)break;E=b[g+T[$]]}if(S<E&&(z&_)!==h){for(L===0&&(L=S),F+=w,R=1<<(B=E-L);B+L<k&&!((R-=tt[B+L])<=0);)B++,R<<=1;if(q+=1<<B,p===1&&852<q||p===2&&592<q)return 1;C[h=z&_]=S<<24|B<<16|F-y|0}}return 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this.iterator("table",function(e){return e[t[2]]},1)})});[["header","aoHeader"],["footer","aoFooter"]].forEach(function(t){It("table()."+t[0]+".structure()",function(e){var n=this.columns(e).indexes().flatten(),r=this.context[0];return os(r,r[t[1]],n)})});Qt("tables().containers()","table().container()",function(){return this.iterator("table",function(t){return t.nTableWrapper},1)});It("tables().every()",function(t){var e=this;return this.iterator("table",function(n,r){t.call(e.table(r),r)})});It("caption()",function(t,e){var n=this.context;if(t===void 0){var r=n[0].captionNode;return r&&n.length?r.innerHTML:null}return this.iterator("table",function(s){var i=H(s.nTable),o=H(s.captionNode),u=H(s.nTableWrapper);if(o.length||(o=H("<caption/>").html(t),s.captionNode=o[0],e||(i.prepend(o),e=o.css("caption-side"))),o.html(t),e&&(o.css("caption-side",e),o[0]._captionSide=e),u.find("div.dataTables_scroll").length){var p=e==="top"?"Head":"Foot";u.find("div.dataTables_scroll"+p+" table").prepend(o)}else i.prepend(o)},1)});It("caption.node()",function(){var t=this.context;return t.length?t[0].captionNode:null});It("draw()",function(t){return this.iterator("table",function(e){t==="page"?Ln(e):(typeof t=="string"&&(t=t!=="full-hold"),Rn(e,t===!1))})});It("page()",function(t){return t===void 0?this.page.info().page:this.iterator("table",function(e){Li(e,t)})});It("page.info()",function(){if(this.context.length!==0){var t=this.context[0],e=t._iDisplayStart,n=t.oFeatures.bPaginate?t._iDisplayLength:-1,r=t.fnRecordsDisplay(),s=n===-1;return{page:s?0:Math.floor(e/n),pages:s?1:Math.ceil(r/n),start:e,end:t.fnDisplayEnd(),length:n,recordsTotal:t.fnRecordsTotal(),recordsDisplay:r,serverSide:Ee(t)==="ssp"}}});It("page.len()",function(t){return t===void 0?this.context.length!==0?this.context[0]._iDisplayLength:void 0:this.iterator("table",function(e){ds(e,t)})});var ys=function(t,e,n){if(n){var r=new Wt(t);r.one("draw",function(){n(r.ajax.json())})}if(Ee(t)=="ssp")Rn(t,e);else{ke(t,!0);var s=t.jqXHR;s&&s.readyState!==4&&s.abort(),Ri(t,{},function(i){Oi(t);for(var o=Lr(t,i),u=0,p=o.length;u<p;u++)yn(t,o[u]);Rn(t,e),Pr(t),ke(t,!1)})}};It("ajax.json()",function(){var t=this.context;if(t.length>0)return t[0].json});It("ajax.params()",function(){var t=this.context;if(t.length>0)return t[0].oAjaxData});It("ajax.reload()",function(t,e){return this.iterator("table",function(n){ys(n,e===!1,t)})});It("ajax.url()",function(t){var e=this.context;return t===void 0?e.length===0?void 0:(e=e[0],H.isPlainObject(e.ajax)?e.ajax.url:e.ajax):this.iterator("table",function(n){H.isPlainObject(n.ajax)?n.ajax.url=t:n.ajax=t})});It("ajax.url().load()",function(t,e){return this.iterator("table",function(n){ys(n,e===!1,t)})});var Vi=function(t,e,n,r,s){var i=[],o,u,p,b,g,m,C=typeof e;for((!e||C==="string"||C==="function"||e.length===void 0)&&(e=[e]),p=0,b=e.length;p<b;p++)for(u=e[p]&&e[p].split&&!e[p].match(/[[(:]/)?e[p].split(","):[e[p]],g=0,m=u.length;g<m;g++)o=n(typeof u[g]=="string"?u[g].trim():u[g]),o=o.filter(function(T){return T!=null}),o&&o.length&&(i=i.concat(o));var y=le.selector[t];if(y.length)for(p=0,b=y.length;p<b;p++)i=y[p](r,s,i);return xn(i)},Hi=function(t){return t||(t={}),t.filter&&t.search===void 0&&(t.search=t.filter),H.extend({search:"none",order:"current",page:"all"},t)},Ui=function(t){let e=new Wt(t.context[0]);return t.length&&e.push(t[0]),e.selector=t.selector,e.length&&e[0].length>1&&e[0].splice(1),e},Mr=function(t,e){var n,r,s,i=[],o=t.aiDisplay,u=t.aiDisplayMaster,p=e.search,b=e.order,g=e.page;if(Ee(t)=="ssp")return p==="removed"?[]:an(0,u.length);if(g=="current")for(n=t._iDisplayStart,r=t.fnDisplayEnd();n<r;n++)i.push(o[n]);else if(b=="current"||b=="applied"){if(p=="none")i=u.slice();else if(p=="applied")i=o.slice();else if(p=="removed"){var m={};for(n=0,r=o.length;n<r;n++)m[o[n]]=null;u.forEach(function(y){Object.prototype.hasOwnProperty.call(m,y)||i.push(y)})}}else if(b=="index"||b=="original")for(n=0,r=t.aoData.length;n<r;n++)t.aoData[n]&&(p=="none"?i.push(n):(s=o.indexOf(n),(s===-1&&p=="removed"||s>=0&&p=="applied")&&i.push(n)));else if(typeof b=="number"){var C=zi(t,b,"asc");if(p==="none")i=C;else for(n=0;n<C.length;n++)s=o.indexOf(C[n]),(s===-1&&p=="removed"||s>=0&&p=="applied")&&i.push(C[n])}return i},Pl=function(t,e,n){var r,s=function(o){var u=Ja(o),p=t.aoData;if(u!==null&&!n)return[u];if(r||(r=Mr(t,n)),u!==null&&r.indexOf(u)!==-1)return[u];if(o==null||o==="")return r;if(typeof o=="function")return r.map(function(T){var P=p[T];return o(T,P._aData,P.nTr)?T:null});if(o.nodeName){var b=o._DT_RowIndex,g=o._DT_CellIndex;if(b!==void 0)return p[b]&&p[b].nTr===o?[b]:[];if(g)return p[g.row]&&p[g.row].nTr===o.parentNode?[g.row]:[];var m=H(o).closest("*[data-dt-row]");return m.length?[m.data("dt-row")]:[]}if(typeof o=="string"&&o.charAt(0)==="#"){var C=t.aIds[o.replace(/^#/,"")];if(C!==void 0)return[C.idx]}var y=ts(er(t.aoData,r,"nTr"));return H(y).filter(o).map(function(){return this._DT_RowIndex}).toArray()},i=Vi("row",e,s,t,n);return(n.order==="current"||n.order==="applied")&&bs(t,i),i};It("rows()",function(t,e){t===void 0?t="":H.isPlainObject(t)&&(e=t,t=""),e=Hi(e);var n=this.iterator("table",function(r){return Pl(r,t,e)},1);return n.selector.rows=t,n.selector.opts=e,n});It("rows().nodes()",function(){return this.iterator("row",function(t,e){return t.aoData[e].nTr||void 0},1)});It("rows().data()",function(){return this.iterator(!0,"rows",function(t,e){return er(t.aoData,e,"_aData")},1)});Qt("rows().cache()","row().cache()",function(t){return this.iterator("row",function(e,n){var r=e.aoData[n];return t==="search"?r._aFilterData:r._aSortData},1)});Qt("rows().invalidate()","row().invalidate()",function(t){return this.iterator("row",function(e,n){Rr(e,n,t)})});Qt("rows().indexes()","row().index()",function(){return this.iterator("row",function(t,e){return e},1)});Qt("rows().ids()","row().id()",function(t){for(var e=[],n=this.context,r=0,s=n.length;r<s;r++)for(var i=0,o=this[r].length;i<o;i++){var u=n[r].rowIdFn(n[r].aoData[this[r][i]]._aData);e.push((t===!0?"#":"")+u)}return new Wt(n,e)});Qt("rows().remove()","row().remove()",function(){return this.iterator("row",function(t,e){var n=t.aoData,r=n[e],s=t.aiDisplayMaster.indexOf(e);s!==-1&&t.aiDisplayMaster.splice(s,1),t._iRecordsDisplay>0&&t._iRecordsDisplay--,vs(t);var i=t.rowIdFn(r._aData);i!==void 0&&delete t.aIds[i],n[e]=null}),this});It("rows.add()",function(t){var e=this.iterator("table",function(r){var s,i,o,u=[];for(i=0,o=t.length;i<o;i++)s=t[i],s.nodeName&&s.nodeName.toUpperCase()==="TR"?u.push(Ni(r,s)[0]):u.push(yn(r,s));return u},1),n=this.rows(-1);return n.pop(),n.push.apply(n,e),n});It("row()",function(t,e){return Ui(this.rows(t,e))});It("row().data()",function(t){var e=this.context;if(t===void 0)return e.length&&this.length&&this[0].length?e[0].aoData[this[0]]._aData:void 0;var n=e[0].aoData[this[0]];return n._aData=t,Array.isArray(t)&&n.nTr&&n.nTr.id&&vn(e[0].rowId)(t,n.nTr.id),Rr(e[0],this[0],"data"),this});It("row().node()",function(){var t=this.context;if(t.length&&this.length&&this[0].length){var e=t[0].aoData[this[0]];if(e&&e.nTr)return e.nTr}return null});It("row.add()",function(t){t instanceof H&&t.length&&(t=t[0]);var e=this.iterator("table",function(n){return t.nodeName&&t.nodeName.toUpperCase()==="TR"?Ni(n,t)[0]:yn(n,t)});return this.row(e[0])});H(document).on("plugin-init.dt",function(t,e){var n=new Wt(e);n.on("stateSaveParams.DT",function(r,s,i){for(var o=s.rowIdFn,u=s.aiDisplayMaster,p=[],b=0;b<u.length;b++){var g=u[b],m=s.aoData[g];m._detailsShow&&p.push("#"+o(m._aData))}i.childRows=p}),n.on("stateLoaded.DT",function(r,s,i){Xa(n,i)}),Xa(n,n.state.loaded())});var Xa=function(t,e){e&&e.childRows&&t.rows(e.childRows.map(function(n){return n.replace(/([^:\\]*(?:\\.[^:\\]*)*):/g,"$1\\:")})).every(function(){Zt(t.settings()[0],null,"requestChild",[this])})},Fl=function(t,e,n,r){var s=[],i=function(o,u){if(Array.isArray(o)||o instanceof H){for(var p=0,b=o.length;p<b;p++)i(o[p],u);return}if(o.nodeName&&o.nodeName.toLowerCase()==="tr")o.setAttribute("data-dt-row",e.idx),s.push(o);else{var g=H("<tr><td></td></tr>").attr("data-dt-row",e.idx).addClass(u);H("td",g).addClass(u).html(o)[0].colSpan=Er(t),s.push(g[0])}};i(n,r),e._details&&e._details.detach(),e._details=H(s),e._detailsShow&&e._details.insertAfter(e.nTr)},ws=bt.util.throttle(function(t){jr(t[0])},500),Wi=function(t,e){var n=t.context;if(n.length){var r=n[0].aoData[e!==void 0?e:t[0]];r&&r._details&&(r._details.remove(),r._detailsShow=void 0,r._details=void 0,H(r.nTr).removeClass("dt-hasChild"),ws(n))}},xs=function(t,e){var n=t.context;if(n.length&&t.length){var r=n[0].aoData[t[0]];r._details&&(r._detailsShow=e,e?(r._details.insertAfter(r.nTr),H(r.nTr).addClass("dt-hasChild")):(r._details.detach(),H(r.nTr).removeClass("dt-hasChild")),Zt(n[0],null,"childRow",[e,t.row(t[0])]),Bl(n[0]),ws(n))}},Bl=function(t){var e=new Wt(t),n=".dt.DT_details",r="draw"+n,s="column-sizing"+n,i="destroy"+n,o=t.aoData;e.off(r+" "+s+" "+i),Ce(o,"_details").length>0&&(e.on(r,function(u,p){t===p&&e.rows({page:"current"}).eq(0).each(function(b){var g=o[b];g._detailsShow&&g._details.insertAfter(g.nTr)})}),e.on(s,function(u,p){if(t===p)for(var b,g=Er(p),m=0,C=o.length;m<C;m++)b=o[m],b&&b._details&&b._details.each(function(){var y=H(this).children("td");y.length==1&&y.attr("colspan",g)})}),e.on(i,function(u,p){if(t===p)for(var b=0,g=o.length;b<g;b++)o[b]&&o[b]._details&&Wi(e,b)}))},Nl="",rr=Nl+"row().child",Vr=rr+"()";It(Vr,function(t,e){var n=this.context;return t===void 0?n.length&&this.length&&n[0].aoData[this[0]]?n[0].aoData[this[0]]._details:void 0:(t===!0?this.child.show():t===!1?Wi(this):n.length&&this.length&&Fl(n[0],n[0].aoData[this[0]],t,e),this)});It([rr+".show()",Vr+".show()"],function(){return xs(this,!0),this});It([rr+".hide()",Vr+".hide()"],function(){return xs(this,!1),this});It([rr+".remove()",Vr+".remove()"],function(){return Wi(this),this});It(rr+".isShown()",function(){var t=this.context;return t.length&&this.length&&t[0].aoData[this[0]]&&t[0].aoData[this[0]]._detailsShow||!1});var Ol=/^([^:]+)?:(name|title|visIdx|visible)$/,Gi=function(t,e,n,r,s,i){for(var o=[],u=0,p=s.length;u<p;u++)o.push(Re(t,s[u],e,i));return o},_s=function(t,e,n){var r=t.aoHeader,s=n!==void 0?n:t.bSortCellsTop?0:r.length-1;return r[s][e].cell},El=function(t,e,n){var r=t.aoColumns,s=Ce(r,"sName"),i=Ce(r,"sTitle"),o=bt.util.get("[].[].cell")(t.aoHeader),u=xn(Ai([],o)),p=function(b){var g=Ja(b);if(b==="")return an(r.length);if(g!==null)return[g>=0?g:r.length+g];if(typeof b=="function"){var m=Mr(t,n);return r.map(function(l,h){return b(h,Gi(t,h,0,0,m),_s(t,h))?h:null})}var C=typeof b=="string"?b.match(Ol):"";if(C)switch(C[2]){case"visIdx":case"visible":if(C[1]&&C[1].match(/^\d+$/)){var y=parseInt(C[1],10);if(y<0){var T=r.map(function(l,h){return l.bVisible?h:null});return[T[T.length+y]]}return[Ii(t,y)]}return r.map(function(l,h){return l.bVisible?C[1]?H(u[h]).filter(C[1]).length>0?h:null:h:null});case"name":return s.map(function(l,h){return l===C[1]?h:null});case"title":return i.map(function(l,h){return l===C[1]?h:null});default:return[]}if(b.nodeName&&b._DT_CellIndex)return[b._DT_CellIndex.column];var P=H(u).filter(b).map(function(){return Bi(this)}).toArray();if(P.length||!b.nodeName)return P;var c=H(b).closest("*[data-dt-column]");return c.length?[c.data("dt-column")]:[]};return Vi("column",e,p,t,n)},Rl=function(t,e,n){var r=t.aoColumns,s=r[e],i=t.aoData,o,u,p,b;if(n===void 0)return s.bVisible;if(s.bVisible===n)return!1;if(n){var g=Ce(r,"bVisible").indexOf(!0,e+1);for(u=0,p=i.length;u<p;u++)i[u]&&(b=i[u].nTr,o=i[u].anCells,b&&b.insertBefore(o[e],o[g]||null))}else H(Ce(t.aoData,"anCells",e)).detach();return s.bVisible=n,hs(t),!0};It("columns()",function(t,e){t===void 0?t="":H.isPlainObject(t)&&(e=t,t=""),e=Hi(e);var n=this.iterator("table",function(r){return El(r,t,e)},1);return n.selector.cols=t,n.selector.opts=e,n});Qt("columns().header()","column().header()",function(t){return this.iterator("column",function(e,n){return _s(e,n,t)},1)});Qt("columns().footer()","column().footer()",function(t){return this.iterator("column",function(e,n){var r=e.aoFooter;return r.length?e.aoFooter[t!==void 0?t:0][n].cell:null},1)});Qt("columns().data()","column().data()",function(){return this.iterator("column-rows",Gi,1)});Qt("columns().render()","column().render()",function(t){return this.iterator("column-rows",function(e,n,r,s,i){return Gi(e,n,r,s,i,t)},1)});Qt("columns().dataSrc()","column().dataSrc()",function(){return this.iterator("column",function(t,e){return t.aoColumns[e].mData},1)});Qt("columns().cache()","column().cache()",function(t){return this.iterator("column-rows",function(e,n,r,s,i){return er(e.aoData,i,t==="search"?"_aFilterData":"_aSortData",n)},1)});Qt("columns().init()","column().init()",function(){return this.iterator("column",function(t,e){return t.aoColumns[e]},1)});Qt("columns().nodes()","column().nodes()",function(){return this.iterator("column-rows",function(t,e,n,r,s){return er(t.aoData,s,"anCells",e)},1)});Qt("columns().titles()","column().title()",function(t,e){return this.iterator("column",function(n,r){typeof t=="number"&&(e=t,t=void 0);var s=H("span.dt-column-title",this.column(r).header(e));return t!==void 0?(s.html(t),this):s.html()},1)});Qt("columns().types()","column().type()",function(){return this.iterator("column",function(t,e){var n=t.aoColumns[e].sType;return n||Fi(t),n},1)});Qt("columns().visible()","column().visible()",function(t,e){var n=this,r=[],s=this.iterator("column",function(i,o){if(t===void 0)return i.aoColumns[o].bVisible;Rl(i,o,t)&&r.push(o)});return t!==void 0&&this.iterator("table",function(i){Ir(i,i.aoHeader),Ir(i,i.aoFooter),i.aiDisplay.length||H(i.nTBody).find("td[colspan]").attr("colspan",Er(i)),jr(i),n.iterator("column",function(o,u){r.includes(u)&&Zt(o,null,"column-visibility",[o,u,t,e])}),r.length&&(e===void 0||e)&&n.columns.adjust()}),s});Qt("columns().widths()","column().width()",function(){var t=this.columns(":visible").count(),e=H("<tr>").html("<td>"+Array(t).join("</td><td>")+"</td>");H(this.table().body()).append(e);var n=e.children().map(function(){return H(this).outerWidth()});return e.remove(),this.iterator("column",function(r,s){var i=nr(r,s);return i!==null?n[i]:0},1)});Qt("columns().indexes()","column().index()",function(t){return this.iterator("column",function(e,n){return t==="visible"?nr(e,n):n},1)});It("columns.adjust()",function(){return this.iterator("table",function(t){Or(t)},1)});It("column.index()",function(t,e){if(this.context.length!==0){var n=this.context[0];if(t==="fromVisible"||t==="toData")return Ii(n,e);if(t==="fromData"||t==="toVisible")return nr(n,e)}});It("column()",function(t,e){return Ui(this.columns(t,e))});var Ll=function(t,e,n){var r=t.aoData,s=Mr(t,n),i=ts(er(r,s,"anCells")),o=H(Ai([],i)),u,p=t.aoColumns.length,b,g,m,C,y,T,P=function(c){var l=typeof c=="function";if(c==null||l){for(b=[],g=0,m=s.length;g<m;g++)for(u=s[g],C=0;C<p;C++)y={row:u,column:C},l?(T=r[u],c(y,Re(t,u,C),T.anCells?T.anCells[C]:null)&&b.push(y)):b.push(y);return b}if(H.isPlainObject(c))return c.column!==void 0&&c.row!==void 0&&s.indexOf(c.row)!==-1?[c]:[];var h=o.filter(c).map(function(_,F){return{row:F._DT_CellIndex.row,column:F._DT_CellIndex.column}}).toArray();return h.length||!c.nodeName?h:(T=H(c).closest("*[data-dt-row]"),T.length?[{row:T.data("dt-row"),column:T.data("dt-column")}]:[])};return Vi("cell",e,P,t,n)};It("cells()",function(t,e,n){if(H.isPlainObject(t)&&(t.row===void 0?(n=t,t=null):(n=e,e=null)),H.isPlainObject(e)&&(n=e,e=null),e==null)return this.iterator("table",function(C){return Ll(C,t,Hi(n))});var r=n?{page:n.page,order:n.order,search:n.search}:{},s=this.columns(e,r),i=this.rows(t,r),o,u,p,b,g=this.iterator("table",function(C,y){var T=[];for(o=0,u=i[y].length;o<u;o++)for(p=0,b=s[y].length;p<b;p++)T.push({row:i[y][o],column:s[y][p]});return T},1),m=n&&n.selected?this.cells(g,n):g;return H.extend(m.selector,{cols:e,rows:t,opts:n}),m});Qt("cells().nodes()","cell().node()",function(){return this.iterator("cell",function(t,e,n){var r=t.aoData[e];return r&&r.anCells?r.anCells[n]:void 0},1)});It("cells().data()",function(){return this.iterator("cell",function(t,e,n){return Re(t,e,n)},1)});Qt("cells().cache()","cell().cache()",function(t){return t=t==="search"?"_aFilterData":"_aSortData",this.iterator("cell",function(e,n,r){return e.aoData[n][t][r]},1)});Qt("cells().render()","cell().render()",function(t){return this.iterator("cell",function(e,n,r){return Re(e,n,r,t)},1)});Qt("cells().indexes()","cell().index()",function(){return this.iterator("cell",function(t,e,n){return{row:e,column:n,columnVisible:nr(t,n)}},1)});Qt("cells().invalidate()","cell().invalidate()",function(t){return this.iterator("cell",function(e,n,r){Rr(e,n,t,r)})});It("cell()",function(t,e,n){return Ui(this.cells(t,e,n))});It("cell().data()",function(t){var e=this.context,n=this[0];return t===void 0?e.length&&n.length?Re(e[0],n[0].row,n[0].column):void 0:(ol(e[0],n[0].row,n[0].column,t),Rr(e[0],n[0].row,"data",n[0].column),this)});It("order()",function(t,e){var n=this.context,r=Array.prototype.slice.call(arguments);return t===void 0?n.length!==0?n[0].aaSorting:void 0:(typeof t=="number"?t=[[t,e]]:r.length>1&&(t=r),this.iterator("table",function(s){s.aaSorting=Array.isArray(t)?t.slice():t}))});It("order.listener()",function(t,e,n){return this.iterator("table",function(r){ps(r,t,{},e,n)})});It("order.fixed()",function(t){if(!t){var e=this.context,n=e.length?e[0].aaSortingFixed:void 0;return Array.isArray(n)?{pre:n}:n}return this.iterator("table",function(r){r.aaSortingFixed=H.extend(!0,{},t)})});It(["columns().order()","column().order()"],function(t){var e=this;return t?this.iterator("table",function(n,r){n.aaSorting=e[r].map(function(s){return[s,t]})}):this.iterator("column",function(n,r){for(var s=zr(n),i=0,o=s.length;i<o;i++)if(s[i].col===r)return s[i].dir;return null},1)});Qt("columns().orderable()","column().orderable()",function(t){return this.iterator("column",function(e,n){var r=e.aoColumns[n];return t?r.asSorting:r.bSortable},1)});It("processing()",function(t){return this.iterator("table",function(e){ke(e,t)})});It("search()",function(t,e,n,r){var s=this.context;return t===void 0?s.length!==0?s[0].oPreviousSearch.search:void 0:this.iterator("table",function(i){i.oFeatures.bFilter&&(typeof e=="object"?tr(i,H.extend(i.oPreviousSearch,e,{search:t})):tr(i,H.extend(i.oPreviousSearch,{search:t,regex:e===null?!1:e,smart:n===null?!0:n,caseInsensitive:r===null?!0:r})))})});It("search.fixed()",function(t,e){var n=this.iterator(!0,"table",function(r){var s=r.searchFixed;if(t){if(e===void 0)return s[t];e===null?delete s[t]:s[t]=e}else return Object.keys(s);return this});return t!==void 0&&e===void 0?n[0]:n});Qt("columns().search()","column().search()",function(t,e,n,r){return this.iterator("column",function(s,i){var o=s.aoPreSearchCols;if(t===void 0)return o[i].search;s.oFeatures.bFilter&&(typeof e=="object"?H.extend(o[i],e,{search:t}):H.extend(o[i],{search:t,regex:e===null?!1:e,smart:n===null?!0:n,caseInsensitive:r===null?!0:r}),tr(s,s.oPreviousSearch))})});It(["columns().search.fixed()","column().search.fixed()"],function(t,e){var n=this.iterator(!0,"column",function(r,s){var i=r.aoColumns[s].searchFixed;if(t){if(e===void 0)return i[t];e===null?delete i[t]:i[t]=e}else return Object.keys(i);return this});return t!==void 0&&e===void 0?n[0]:n});It("state()",function(t,e){if(!t)return this.context.length?this.context[0].oSavedState:null;var n=H.extend(!0,{},t);return this.iterator("table",function(r){e!==!1&&(n.time=+new Date+100),ki(r,n,function(){})})});It("state.clear()",function(){return this.iterator("table",function(t){t.fnStateSaveCallback.call(t.oInstance,t,{})})});It("state.loaded()",function(){return this.context.length?this.context[0].oLoadedState:null});It("state.save()",function(){return this.iterator("table",function(t){jr(t)})});bt.use=function(t,e){var n=typeof t=="string"?e:t,r=typeof e=="string"?e:t;if(n===void 0&&typeof r=="string")switch(r){case"lib":case"jq":return H;case"win":return window;case"datetime":return bt.DateTime;case"luxon":return dn;case"moment":return wn;default:return null}r==="lib"||r==="jq"||n&&n.fn&&n.fn.jquery?H=n:r=="win"||n&&n.document?(window=n,document=n.document):r==="datetime"||n&&n.type==="DateTime"?bt.DateTime=n:r==="luxon"||n&&n.FixedOffsetZone?dn=n:(r==="moment"||n&&n.isMoment)&&(wn=n)};bt.factory=function(t,e){var n=!1;return t&&t.document&&(window=t,document=t.document),e&&e.fn&&e.fn.jquery&&(H=e,n=!0),n};bt.versionCheck=function(t,e){for(var n=e?e.split("."):bt.version.split("."),r=t.split("."),s,i,o=0,u=r.length;o<u;o++)if(s=parseInt(n[o],10)||0,i=parseInt(r[o],10)||0,s!==i)return s>i;return!0};bt.isDataTable=function(t){var e=H(t).get(0),n=!1;return t instanceof bt.Api?!0:(H.each(bt.settings,function(r,s){var i=s.nScrollHead?H("table",s.nScrollHead)[0]:null,o=s.nScrollFoot?H("table",s.nScrollFoot)[0]:null;(s.nTable===e||i===e||o===e)&&(n=!0)}),n)};bt.tables=function(t){var e=!1;H.isPlainObject(t)&&(e=t.api,t=t.visible);var n=bt.settings.filter(function(r){return!!(!t||t&&H(r.nTable).is(":visible"))}).map(function(r){return r.nTable});return e?new Wt(n):n};bt.camelToHungarian=sn;It("$()",function(t,e){var n=this.rows(e).nodes(),r=H(n);return H([].concat(r.filter(t).toArray(),r.find(t).toArray()))});H.each(["on","one","off"],function(t,e){It(e+"()",function(){var n=Array.prototype.slice.call(arguments);n[0]=n[0].split(/\s/).map(function(s){return s.match(/\.dt\b/)?s:s+".dt"}).join(" ");var r=H(this.tables().nodes());return r[e].apply(r,n),this})});It("clear()",function(){return this.iterator("table",function(t){Oi(t)})});It("error()",function(t){return this.iterator("table",function(e){Oe(e,0,t)})});It("settings()",function(){return new Wt(this.context,this.context)});It("init()",function(){var t=this.context;return t.length?t[0].oInit:null});It("data()",function(){return this.iterator("table",function(t){return Ce(t.aoData,"_aData")}).flatten()});It("trigger()",function(t,e,n){return this.iterator("table",function(r){return Zt(r,null,t,e,n)}).flatten()});It("ready()",function(t){var e=this.context;return t?this.tables().every(function(){this.context[0]._bInitComplete?t.call(this):this.on("init",function(){t.call(this)})}):e.length?e[0]._bInitComplete||!1:null});It("destroy()",function(t){return t=t||!1,this.iterator("table",function(e){var n=e.oClasses,r=e.nTable,s=e.nTBody,i=e.nTHead,o=e.nTFoot,u=H(r),p=H(s),b=H(e.nTableWrapper),g=e.aoData.map(function(c){return c?c.nTr:null}),m=n.order;e.bDestroying=!0,Zt(e,"aoDestroyCallback","destroy",[e],!0),t||new Wt(e).columns().visible(!0),b.off(".DT").find(":not(tbody *)").off(".DT"),H(window).off(".DT-"+e.sInstance),r!=i.parentNode&&(u.children("thead").detach(),u.append(i)),o&&r!=o.parentNode&&(u.children("tfoot").detach(),u.append(o)),e.colgroup.remove(),e.aaSorting=[],e.aaSortingFixed=[],Ti(e),H("th, td",i).removeClass(m.canAsc+" "+m.canDesc+" "+m.isAsc+" "+m.isDesc).css("width",""),p.children().detach(),p.append(g);var C=e.nTableWrapper.parentNode,y=e.nTableWrapper.nextSibling,T=t?"remove":"detach";u[T](),b[T](),!t&&C&&(C.insertBefore(r,y),u.css("width",e.sDestroyWidth).removeClass(n.table));var P=bt.settings.indexOf(e);P!==-1&&bt.settings.splice(P,1)})});H.each(["column","row","cell"],function(t,e){It(e+"s().every()",function(n){var r=this.selector.opts,s=this,i,o=0;return this.iterator("every",function(u,p,b){i=s[e](p,r),e==="cell"?n.call(i,i[0][0].row,i[0][0].column,b,o):n.call(i,p,b,o),o++})})});It("i18n()",function(t,e,n){var r=this.context[0],s=En(t)(r.oLanguage);return s===void 0&&(s=e),H.isPlainObject(s)&&(s=n!==void 0&&s[n]!==void 0?s[n]:s._),typeof s=="string"?s.replace("%d",n):s});bt.version="2.1.6";bt.settings=[];bt.models={};bt.models.oSearch={caseInsensitive:!0,search:"",regex:!1,smart:!0,return:!1};bt.models.oRow={nTr:null,anCells:null,_aData:[],_aSortData:null,_aFilterData:null,_sFilterRow:null,src:null,idx:-1,displayData:null};bt.models.oColumn={idx:null,aDataSort:null,asSorting:null,bSearchable:null,bSortable:null,bVisible:null,_sManualType:null,_bAttrSrc:!1,fnCreatedCell:null,fnGetData:null,fnSetData:null,mData:null,mRender:null,sClass:null,sContentPadding:null,sDefaultContent:null,sName:null,sSortDataType:"std",sSortingClass:null,sTitle:null,sType:null,sWidth:null,sWidthOrig:null,maxLenString:null,searchFixed:null};bt.defaults={aaData:null,aaSorting:[[0,"asc"]],aaSortingFixed:[],ajax:null,aLengthMenu:[10,25,50,100],aoColumns:null,aoColumnDefs:null,aoSearchCols:[],bAutoWidth:!0,bDeferRender:!0,bDestroy:!1,bFilter:!0,bInfo:!0,bLengthChange:!0,bPaginate:!0,bProcessing:!1,bRetrieve:!1,bScrollCollapse:!1,bServerSide:!1,bSort:!0,bSortMulti:!0,bSortCellsTop:null,bSortClasses:!0,bStateSave:!1,fnCreatedRow:null,fnDrawCallback:null,fnFooterCallback:null,fnFormatNumber:function(t){return t.toString().replace(/\B(?=(\d{3})+(?!\d))/g,this.oLanguage.sThousands)},fnHeaderCallback:null,fnInfoCallback:null,fnInitComplete:null,fnPreDrawCallback:null,fnRowCallback:null,fnStateLoadCallback:function(t){try{return JSON.parse((t.iStateDuration===-1?sessionStorage:localStorage).getItem("DataTables_"+t.sInstance+"_"+location.pathname))}catch{return{}}},fnStateLoadParams:null,fnStateLoaded:null,fnStateSaveCallback:function(t,e){try{(t.iStateDuration===-1?sessionStorage:localStorage).setItem("DataTables_"+t.sInstance+"_"+location.pathname,JSON.stringify(e))}catch{}},fnStateSaveParams:null,iStateDuration:7200,iDisplayLength:10,iDisplayStart:0,iTabIndex:0,oClasses:{},oLanguage:{oAria:{orderable:": Activate to sort",orderableReverse:": Activate to invert sorting",orderableRemove:": Activate to remove sorting",paginate:{first:"First",last:"Last",next:"Next",previous:"Previous",number:""}},oPaginate:{sFirst:"\xAB",sLast:"\xBB",sNext:"\u203A",sPrevious:"\u2039"},entries:{_:"entries",1:"entry"},sEmptyTable:"No data available in table",sInfo:"Showing _START_ to _END_ of _TOTAL_ _ENTRIES-TOTAL_",sInfoEmpty:"Showing 0 to 0 of 0 _ENTRIES-TOTAL_",sInfoFiltered:"(filtered from _MAX_ total _ENTRIES-MAX_)",sInfoPostFix:"",sDecimal:"",sThousands:",",sLengthMenu:"_MENU_ _ENTRIES_ per page",sLoadingRecords:"Loading...",sProcessing:"",sSearch:"Search:",sSearchPlaceholder:"",sUrl:"",sZeroRecords:"No matching records found"},orderDescReverse:!0,oSearch:H.extend({},bt.models.oSearch),layout:{topStart:"pageLength",topEnd:"search",bottomStart:"info",bottomEnd:"paging"},sDom:null,searchDelay:null,sPaginationType:"",sScrollX:"",sScrollXInner:"",sScrollY:"",sServerMethod:"GET",renderer:null,rowId:"DT_RowId",caption:null,iDeferLoading:null};Nr(bt.defaults);bt.defaults.column={aDataSort:null,iDataSort:-1,ariaTitle:"",asSorting:["asc","desc",""],bSearchable:!0,bSortable:!0,bVisible:!0,fnCreatedCell:null,mData:null,mRender:null,sCellType:"td",sClass:"",sContentPadding:"",sDefaultContent:null,sName:"",sSortDataType:"std",sTitle:null,sType:null,sWidth:null};Nr(bt.defaults.column);bt.models.oSettings={oFeatures:{bAutoWidth:null,bDeferRender:null,bFilter:null,bInfo:!0,bLengthChange:!0,bPaginate:null,bProcessing:null,bServerSide:null,bSort:null,bSortMulti:null,bSortClasses:null,bStateSave:null},oScroll:{bCollapse:null,iBarWidth:0,sX:null,sXInner:null,sY:null},oLanguage:{fnInfoCallback:null},oBrowser:{bScrollbarLeft:!1,barWidth:0},ajax:null,aanFeatures:[],aoData:[],aiDisplay:[],aiDisplayMaster:[],aIds:{},aoColumns:[],aoHeader:[],aoFooter:[],oPreviousSearch:{},searchFixed:{},aoPreSearchCols:[],aaSorting:null,aaSortingFixed:[],sDestroyWidth:0,aoRowCallback:[],aoHeaderCallback:[],aoFooterCallback:[],aoDrawCallback:[],aoRowCreatedCallback:[],aoPreDrawCallback:[],aoInitComplete:[],aoStateSaveParams:[],aoStateLoadParams:[],aoStateLoaded:[],sTableId:"",nTable:null,nTHead:null,nTFoot:null,nTBody:null,nTableWrapper:null,bInitialised:!1,aoOpenRows:[],sDom:null,searchDelay:null,sPaginationType:"two_button",pagingControls:0,iStateDuration:0,aoStateSave:[],aoStateLoad:[],oSavedState:null,oLoadedState:null,bAjaxDataGet:!0,jqXHR:null,json:void 0,oAjaxData:void 0,sServerMethod:null,fnFormatNumber:null,aLengthMenu:null,iDraw:0,bDrawing:!1,iDrawError:-1,_iDisplayLength:10,_iDisplayStart:0,_iRecordsTotal:0,_iRecordsDisplay:0,oClasses:{},bFiltered:!1,bSorted:!1,bSortCellsTop:null,oInit:null,aoDestroyCallback:[],fnRecordsTotal:function(){return Ee(this)=="ssp"?this._iRecordsTotal*1:this.aiDisplayMaster.length},fnRecordsDisplay:function(){return Ee(this)=="ssp"?this._iRecordsDisplay*1:this.aiDisplay.length},fnDisplayEnd:function(){var t=this._iDisplayLength,e=this._iDisplayStart,n=e+t,r=this.aiDisplay.length,s=this.oFeatures,i=s.bPaginate;return s.bServerSide?i===!1||t===-1?e+r:Math.min(e+t,this._iRecordsDisplay):!i||n>r||t===-1?r:n},oInstance:null,sInstance:null,iTabIndex:0,nScrollHead:null,nScrollFoot:null,aLastSort:[],oPlugins:{},rowIdFn:null,rowId:null,caption:"",captionNode:null,colgroup:null,deferLoading:null,typeDetect:!0};var zl=bt.ext.pager;H.extend(zl,{simple:function(){return["previous","next"]},full:function(){return["first","previous","next","last"]},numbers:function(){return["numbers"]},simple_numbers:function(){return["previous","numbers","next"]},full_numbers:function(){return["first","previous","numbers","next","last"]},first_last:function(){return["first","last"]},first_last_numbers:function(){return["first","numbers","last"]},_numbers:Ss,numbers_length:7});H.extend(!0,bt.ext.renderer,{pagingButton:{_:function(t,e,n,r,s){var i=t.oClasses.paging,o=[i.button],u;return r&&o.push(i.active),s&&o.push(i.disabled),e==="ellipsis"?u=H('<span class="ellipsis"></span>').html(n)[0]:u=H("<button>",{class:o.join(" "),role:"link",type:"button"}).html(n),{display:u,clicker:u}}},pagingContainer:{_:function(t,e){return e}}});var ir=function(t,e){return function(n){return He(n)||typeof n!="string"||(n=n.replace(Jo," "),t&&(n=gn(n)),e&&(n=Dr(n,!1))),n}};function Ya(t,e,n,r,s){return wn?t[e](s):dn?t[n](s):r?t[r](s):t}var $a=!1,dn,wn;function jl(){window.luxon&&!dn&&(dn=window.luxon),window.moment&&!wn&&(wn=window.moment)}function Br(t,e,n){var r;if(jl(),wn){if(r=wn.utc(t,e,n,!0),!r.isValid())return null}else if(dn){if(r=e&&typeof t=="string"?dn.DateTime.fromFormat(t,e):dn.DateTime.fromISO(t),!r.isValid)return null;r.setLocale(n)}else e?($a||alert("DataTables warning: Formatted date without Moment.js or Luxon - https://datatables.net/tn/17"),$a=!0):r=new Date(t);return r}function gi(t){return function(e,n,r,s){arguments.length===0?(r="en",n=null,e=null):arguments.length===1?(r="en",n=e,e=null):arguments.length===2&&(r=n,n=e,e=null);var i="datetime"+(n?"-"+n:"");return bt.ext.type.order[i]||bt.type(i,{detect:function(o){return o===i?i:!1},order:{pre:function(o){return o.valueOf()}},className:"dt-right"}),function(o,u){if(o==null)if(s==="--now"){var p=new Date;o=new Date(Date.UTC(p.getFullYear(),p.getMonth(),p.getDate(),p.getHours(),p.getMinutes(),p.getSeconds()))}else o="";if(u==="type")return i;if(o==="")return u!=="sort"?"":Br("0000-01-01 00:00:00",null,r);if(n!==null&&e===n&&u!=="sort"&&u!=="type"&&!(o instanceof Date))return o;var b=Br(o,e,r);if(b===null)return o;if(u==="sort")return b;var g=n===null?Ya(b,"toDate","toJSDate","")[t]():Ya(b,"format","toFormat","toISOString",n);return u==="display"?Nn(g):g}}}var Cs=",",Ts=".";if(window.Intl!==void 0)try{for(Bn=new Intl.NumberFormat().formatToParts(100000.1),Ne=0;Ne<Bn.length;Ne++)Bn[Ne].type==="group"?Cs=Bn[Ne].value:Bn[Ne].type==="decimal"&&(Ts=Bn[Ne].value)}catch{}var Bn,Ne;bt.datetime=function(t,e){var n="datetime-"+t;e||(e="en"),bt.ext.type.order[n]||bt.type(n,{detect:function(r){var s=Br(r,t,e);return r===""||s?n:!1},order:{pre:function(r){return Br(r,t,e)||0}},className:"dt-right"})};bt.render={date:gi("toLocaleDateString"),datetime:gi("toLocaleString"),time:gi("toLocaleTimeString"),number:function(t,e,n,r,s){return t==null&&(t=Cs),e==null&&(e=Ts),{display:function(i){if(typeof i!="number"&&typeof i!="string"||i===""||i===null)return i;var o=i<0?"-":"",u=parseFloat(i),p=Math.abs(u);if(p>=1e11||p<1e-4&&p!==0){var b=u.toExponential(n).split(/e\+?/);return b[0]+" x 10<sup>"+b[1]+"</sup>"}if(isNaN(u))return Nn(i);u=u.toFixed(n),i=Math.abs(u);var g=parseInt(i,10),m=n?e+(i-g).toFixed(n).substring(2):"";return g===0&&parseFloat(m)===0&&(o=""),o+(r||"")+g.toString().replace(/\B(?=(\d{3})+(?!\d))/g,t)+m+(s||"")}}},text:function(){return{display:Nn,filter:Nn}}};var me=bt.ext.type;bt.type=function(t,e,n){if(!e)return{className:me.className[t],detect:me.detect.find(function(o){return o.name===t}),order:{pre:me.order[t+"-pre"],asc:me.order[t+"-asc"],desc:me.order[t+"-desc"]},render:me.render[t],search:me.search[t]};var r=function(o,u){me[o][t]=u},s=function(o){Object.defineProperty(o,"name",{value:t});var u=me.detect.findIndex(function(p){return p.name===t});u===-1?me.detect.unshift(o):me.detect.splice(u,1,o)},i=function(o){me.order[t+"-pre"]=o.pre,me.order[t+"-asc"]=o.asc,me.order[t+"-desc"]=o.desc};n===void 0&&(n=e,e=null),e==="className"?r("className",n):e==="detect"?s(n):e==="order"?i(n):e==="render"?r("render",n):e==="search"?r("search",n):e||(n.className&&r("className",n.className),n.detect!==void 0&&s(n.detect),n.order&&i(n.order),n.render!==void 0&&r("render",n.render),n.search!==void 0&&r("search",n.search))};bt.types=function(){return me.detect.map(function(t){return t.name})};var Za=function(t,e){return t=t.toString().toLowerCase(),e=e.toString().toLowerCase(),t.localeCompare(e,navigator.languages[0]||navigator.language,{numeric:!0,ignorePunctuation:!0})};bt.type("string",{detect:function(){return"string"},order:{pre:function(t){return He(t)&&typeof t!="boolean"?"":typeof t=="string"?t.toLowerCase():t.toString?t.toString():""}},search:ir(!1,!0)});bt.type("string-utf8",{detect:{allOf:function(t){return!0},oneOf:function(t){return!He(t)&&navigator.languages&&typeof t=="string"&&t.match(/[^\x00-\x7F]/)}},order:{asc:Za,desc:function(t,e){return Za(t,e)*-1}},search:ir(!1,!0)});bt.type("html",{detect:{allOf:function(t){return He(t)||typeof t=="string"&&t.indexOf("<")!==-1},oneOf:function(t){return!He(t)&&typeof t=="string"&&t.indexOf("<")!==-1}},order:{pre:function(t){return He(t)?"":t.replace?gn(t).trim().toLowerCase():t+""}},search:ir(!0,!0)});bt.type("date",{className:"dt-type-date",detect:{allOf:function(t){if(t&&!(t instanceof Date)&&!za.test(t))return null;var e=Date.parse(t);return e!==null&&!isNaN(e)||He(t)},oneOf:function(t){return t instanceof Date||typeof t=="string"&&za.test(t)}},order:{pre:function(t){var e=Date.parse(t);return isNaN(e)?-1/0:e}}});bt.type("html-num-fmt",{className:"dt-type-numeric",detect:{allOf:function(t,e){var n=e.oLanguage.sDecimal;return Sr(t,n,!0,!1)},oneOf:function(t,e){var n=e.oLanguage.sDecimal;return Sr(t,n,!0,!1)}},order:{pre:function(t,e){var n=e.oLanguage.sDecimal;return Hr(t,n,Si,Di)}},search:ir(!0,!0)});bt.type("html-num",{className:"dt-type-numeric",detect:{allOf:function(t,e){var n=e.oLanguage.sDecimal;return Sr(t,n,!1,!0)},oneOf:function(t,e){var n=e.oLanguage.sDecimal;return Sr(t,n,!1,!1)}},order:{pre:function(t,e){var n=e.oLanguage.sDecimal;return Hr(t,n,Si)}},search:ir(!0,!0)});bt.type("num-fmt",{className:"dt-type-numeric",detect:{allOf:function(t,e){var n=e.oLanguage.sDecimal;return Qn(t,n,!0,!0)},oneOf:function(t,e){var n=e.oLanguage.sDecimal;return Qn(t,n,!0,!1)}},order:{pre:function(t,e){var n=e.oLanguage.sDecimal;return Hr(t,n,Di)}}});bt.type("num",{className:"dt-type-numeric",detect:{allOf:function(t,e){var n=e.oLanguage.sDecimal;return Qn(t,n,!1,!0)},oneOf:function(t,e){var n=e.oLanguage.sDecimal;return Qn(t,n,!1,!1)}},order:{pre:function(t,e){var n=e.oLanguage.sDecimal;return Hr(t,n)}}});var Hr=function(t,e,n,r){if(t!==0&&(!t||t==="-"))return-1/0;var s=typeof t;return s==="number"||s==="bigint"?t:(e&&(t=Qa(t,e)),t.replace&&(n&&(t=t.replace(n,"")),r&&(t=t.replace(r,""))),t*1)};H.extend(!0,bt.ext.renderer,{footer:{_:function(t,e,n){e.addClass(n.tfoot.cell)}},header:{_:function(t,e,n){e.addClass(n.thead.cell),t.oFeatures.bSort||e.addClass(n.order.none);var r=t.bSortCellsTop,s=e.closest("thead").find("tr"),i=e.parent().index();e.attr("data-dt-order")==="disable"||e.parent().attr("data-dt-order")==="disable"||r===!0&&i!==0||r===!1&&i!==s.length-1||H(t.nTable).on("order.dt.DT column-visibility.dt.DT",function(o,u){if(t===u){var p=u.sortDetails;if(p){var b,g=n.order,m=u.api.columns(e),C=t.aoColumns[m.flatten()[0]],y=m.orderable().includes(!0),T="",P=m.indexes(),c=m.orderable(!0).flatten(),l=Ce(p,"col");e.removeClass(g.isAsc+" 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r=t._iDisplayStart+1,s=t.fnDisplayEnd(),i=t.fnRecordsTotal(),o=t.fnRecordsDisplay(),u=o?e.text:e.empty;o!==i&&(u+=" "+e.search),u+=e.postfix,u=ji(t,u),e.callback&&(u=e.callback.call(t.oInstance,t,r,s,i,o,u)),n.html(u),Zt(t,null,"info",[t,n[0],u])}var yi=0;bt.feature.register("search",function(t,e){if(!t.oFeatures.bFilter)return null;var n=t.oClasses.search,r=t.sTableId,s=t.oLanguage,i=t.oPreviousSearch,o='<input type="search" class="'+n.input+'"/>';e=H.extend({placeholder:s.sSearchPlaceholder,processing:!1,text:s.sSearch},e),e.text.indexOf("_INPUT_")===-1&&(e.text+="_INPUT_"),e.text=ji(t,e.text);var u=e.text.match(/_INPUT_$/),p=e.text.match(/^_INPUT_/),b=e.text.replace(/_INPUT_/,""),g="<label>"+e.text+"</label>";p?g="_INPUT_<label>"+b+"</label>":u&&(g="<label>"+b+"</label>_INPUT_");var m=H("<div>").addClass(n.container).append(g.replace(/_INPUT_/,o));m.find("label").attr("for","dt-search-"+yi),m.find("input").attr("id","dt-search-"+yi),yi++;var C=function(P){var c=this.value;i.return&&P.key!=="Enter"||c!=i.search&&us(t,e.processing,function(){i.search=c,tr(t,i),t._iDisplayStart=0,Ln(t)})},y=t.searchDelay!==null?t.searchDelay:0,T=H("input",m).val(i.search).attr("placeholder",e.placeholder).on("keyup.DT search.DT input.DT paste.DT cut.DT",y?bt.util.debounce(C,y):C).on("mouseup.DT",function(P){setTimeout(function(){C.call(T[0],P)},10)}).on("keypress.DT",function(P){if(P.keyCode==13)return!1}).attr("aria-controls",r);return H(t.nTable).on("search.dt.DT",function(P,c){t===c&&T[0]!==document.activeElement&&T.val(typeof i.search!="function"?i.search:"")}),m},"f");bt.feature.register("paging",function(t,e){if(!t.oFeatures.bPaginate)return null;e=H.extend({buttons:bt.ext.pager.numbers_length,type:t.sPaginationType,boundaryNumbers:!0,firstLast:!0,previousNext:!0,numbers:!0},e);var n=H("<div/>").addClass(t.oClasses.paging.container+(e.type?" 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T=="string"?s[T]:s.number?s.number+(T+1):null;H(c.clicker).attr({"aria-controls":t.sTableId,"aria-disabled":P.disabled?"true":null,"aria-current":P.active?"page":null,"aria-label":l,"data-dt-idx":T,tabIndex:P.disabled?-1:t.iTabIndex?t.iTabIndex:null}),typeof T!="number"&&H(c.clicker).addClass(T),ms(c.clicker,{action:T},function(F){F.preventDefault(),Li(t,F.data.action,!0)}),C.push(c.display)}var h=Fr(t,"pagingContainer")(t,C),_=e.find(document.activeElement).data("dt-idx");e.empty().append(h),_!==void 0&&e.find("[data-dt-idx="+_+"]").trigger("focus"),C.length&&n.buttons>1&&H(e).height()>=H(C[0]).outerHeight()*2-10&&ks(t,e,H.extend({},n,{buttons:n.buttons-2}))}}function Hl(t,e,n,r){var s=t.oLanguage.oPaginate,i={display:"",active:!1,disabled:!1};switch(e){case"ellipsis":i.display="&#x2026;",i.disabled=!0;break;case"first":i.display=s.sFirst,n===0&&(i.disabled=!0);break;case"previous":i.display=s.sPrevious,n===0&&(i.disabled=!0);break;case"next":i.display=s.sNext,(r===0||n===r-1)&&(i.disabled=!0);break;case"last":i.display=s.sLast,(r===0||n===r-1)&&(i.disabled=!0);break;default:typeof e=="number"&&(i.display=t.fnFormatNumber(e+1),n===e&&(i.active=!0));break}return i}function Ss(t,e,n,r){var s=[],i=Math.floor(n/2),o=r?2:1,u=r?1:0;return e<=n?s=an(0,e):n===1?s=[t]:n===3?t<=1?s=[0,1,"ellipsis"]:t>=e-2?(s=an(e-2,e),s.unshift("ellipsis")):s=["ellipsis",t,"ellipsis"]:t<=i?(s=an(0,n-o),s.push("ellipsis"),r&&s.push(e-1)):t>=e-1-i?(s=an(e-(n-o),e),s.unshift("ellipsis"),r&&s.unshift(0)):(s=an(t-i+o,t+i-u),s.push("ellipsis"),s.unshift("ellipsis"),r&&(s.push(e-1),s.unshift(0))),s}var wi=0;bt.feature.register("pageLength",function(t,e){var n=t.oFeatures;if(!n.bPaginate||!n.bLengthChange)return null;e=H.extend({menu:t.aLengthMenu,text:t.oLanguage.sLengthMenu},e);var r=t.oClasses.length,s=t.sTableId,i=e.menu,o=[],u=[],p;if(Array.isArray(i[0]))o=i[0],u=i[1];else for(p=0;p<i.length;p++)H.isPlainObject(i[p])?(o.push(i[p].value),u.push(i[p].label)):(o.push(i[p]),u.push(i[p]));var b=e.text.match(/_MENU_$/),g=e.text.match(/^_MENU_/),m=e.text.replace(/_MENU_/,""),C="<label>"+e.text+"</label>";g?C="_MENU_<label>"+m+"</label>":b&&(C="<label>"+m+"</label>_MENU_");var y="tmp-"+ +new Date,T=H("<div/>").addClass(r.container).append(C.replace("_MENU_",'<span id="'+y+'"></span>')),P=[];T.find("label")[0].childNodes.forEach(function(h){h.nodeType===Node.TEXT_NODE&&P.push({el:h,text:h.textContent})});var c=function(h){P.forEach(function(_){_.el.textContent=ji(t,_.text,h)})},l=H("<select/>",{name:s+"_length","aria-controls":s,class:r.select});for(p=0;p<o.length;p++)l[0][p]=new Option(typeof u[p]=="number"?t.fnFormatNumber(u[p]):u[p],o[p]);return T.find("label").attr("for","dt-length-"+wi),l.attr("id","dt-length-"+wi),wi++,T.find("#"+y).replaceWith(l),H("select",T).val(t._iDisplayLength).on("change.DT",function(){ds(t,H(this).val()),Ln(t)}),H(t.nTable).on("length.dt.DT",function(h,_,F){t===_&&(H("select",T).val(F),c(F))}),c(t._iDisplayLength),T},"l");H.fn.dataTable=bt;bt.$=H;H.fn.dataTableSettings=bt.settings;H.fn.dataTableExt=bt.ext;H.fn.DataTable=function(t){return H(this).dataTable(t).api()};H.each(bt,function(t,e){H.fn.DataTable[t]=e});var at=bt;var Le=at;var $l=ie(ae(),1);var Ps=ie(ae(),1);var ht=Ps.default,Wl=0,Gl=0,Se=at.ext.buttons,qi=null;function Xi(t,e,n){ht.fn.animate?t.stop().fadeIn(e,n):(t.css("display","block"),n&&n.call(t))}function Yi(t,e,n){ht.fn.animate?t.stop().fadeOut(e,n):(t.css("display","none"),n&&n.call(t))}var te=function(t,e){if(!at.versionCheck("2"))throw"Warning: Buttons requires DataTables 2 or newer";if(!(this instanceof te))return function(n){return new te(n,t).container()};typeof e>"u"&&(e={}),e===!0&&(e={}),Array.isArray(e)&&(e={buttons:e}),this.c=ht.extend(!0,{},te.defaults,e),e.buttons&&(this.c.buttons=e.buttons),this.s={dt:new at.Api(t),buttons:[],listenKeys:"",namespace:"dtb"+Wl++},this.dom={container:ht("<"+this.c.dom.container.tag+"/>").addClass(this.c.dom.container.className)},this._constructor()};ht.extend(te.prototype,{action:function(t,e){var n=this._nodeToButton(t);return e===void 0?n.conf.action:(n.conf.action=e,this)},active:function(t,e){var n=this._nodeToButton(t),r=this.c.dom.button.active,s=ht(n.node);return n.inCollection&&this.c.dom.collection.button&&this.c.dom.collection.button.active!==void 0&&(r=this.c.dom.collection.button.active),e===void 0?s.hasClass(r):(s.toggleClass(r,e===void 0?!0:e),this)},add:function(t,e,n){var r=this.s.buttons;if(typeof e=="string"){for(var s=e.split("-"),i=this.s,o=0,u=s.length-1;o<u;o++)i=i.buttons[s[o]*1];r=i.buttons,e=s[s.length-1]*1}return this._expandButton(r,t,t!==void 0?t.split:void 0,(t===void 0||t.split===void 0||t.split.length===0)&&i!==void 0,!1,e),(n===void 0||n===!0)&&this._draw(),this},collectionRebuild:function(t,e){var n=this._nodeToButton(t);if(e!==void 0){var r;for(r=n.buttons.length-1;r>=0;r--)this.remove(n.buttons[r].node);for(n.conf.prefixButtons&&e.unshift.apply(e,n.conf.prefixButtons),n.conf.postfixButtons&&e.push.apply(e,n.conf.postfixButtons),r=0;r<e.length;r++){var s=e[r];this._expandButton(n.buttons,s,s!==void 0&&s.config!==void 0&&s.config.split!==void 0,!0,s.parentConf!==void 0&&s.parentConf.split!==void 0,null,s.parentConf)}}this._draw(n.collection,n.buttons)},container:function(){return this.dom.container},disable:function(t){var e=this._nodeToButton(t);return ht(e.node).addClass(this.c.dom.button.disabled).prop("disabled",!0),this},destroy:function(){ht("body").off("keyup."+this.s.namespace);var t=this.s.buttons.slice(),e,n;for(e=0,n=t.length;e<n;e++)this.remove(t[e].node);this.dom.container.remove();var r=this.s.dt.settings()[0];for(e=0,n=r.length;e<n;e++)if(r.inst===this){r.splice(e,1);break}return this},enable:function(t,e){if(e===!1)return this.disable(t);var n=this._nodeToButton(t);return ht(n.node).removeClass(this.c.dom.button.disabled).prop("disabled",!1),this},index:function(t,e,n){e||(e="",n=this.s.buttons);for(var r=0,s=n.length;r<s;r++){var i=n[r].buttons;if(n[r].node===t)return e+r;if(i&&i.length){var o=this.index(t,r+"-",i);if(o!==null)return o}}return null},name:function(){return this.c.name},node:function(t){if(!t)return this.dom.container;var e=this._nodeToButton(t);return ht(e.node)},processing:function(t,e){var n=this.s.dt,r=this._nodeToButton(t);return e===void 0?ht(r.node).hasClass("processing"):(ht(r.node).toggleClass("processing",e),ht(n.table().node()).triggerHandler("buttons-processing.dt",[e,n.button(t),n,ht(t),r.conf]),this)},remove:function(t){var e=this._nodeToButton(t),n=this._nodeToHost(t),r=this.s.dt;if(e.buttons.length)for(var s=e.buttons.length-1;s>=0;s--)this.remove(e.buttons[s].node);e.conf.destroying=!0,e.conf.destroy&&e.conf.destroy.call(r.button(t),r,ht(t),e.conf),this._removeKey(e.conf),ht(e.node).remove();var i=ht.inArray(e,n);return n.splice(i,1),this},text:function(t,e){var n=this._nodeToButton(t),r=n.textNode,s=this.s.dt,i=ht(n.node),o=function(u){return typeof u=="function"?u(s,i,n.conf):u};return e===void 0?o(n.conf.text):(n.conf.text=e,r.html(o(e)),this)},_constructor:function(){var t=this,e=this.s.dt,n=e.settings()[0],r=this.c.buttons;n._buttons||(n._buttons=[]),n._buttons.push({inst:this,name:this.c.name});for(var s=0,i=r.length;s<i;s++)this.add(r[s]);e.on("destroy",function(o,u){u===n&&t.destroy()}),ht("body").on("keyup."+this.s.namespace,function(o){if(!document.activeElement||document.activeElement===document.body){var u=String.fromCharCode(o.keyCode).toLowerCase();t.s.listenKeys.toLowerCase().indexOf(u)!==-1&&t._keypress(u,o)}})},_addKey:function(t){t.key&&(this.s.listenKeys+=ht.isPlainObject(t.key)?t.key.key:t.key)},_draw:function(t,e){t||(t=this.dom.container,e=this.s.buttons),t.children().detach();for(var n=0,r=e.length;n<r;n++)t.append(e[n].inserter),t.append(" "),e[n].buttons&&e[n].buttons.length&&this._draw(e[n].collection,e[n].buttons)},_expandButton:function(t,e,n,r,s,i,o){var u=this.s.dt,p=!1,b=this.c.dom.collection,g=Array.isArray(e)?e:[e];e===void 0&&(g=Array.isArray(n)?n:[n]);for(var m=0,C=g.length;m<C;m++){var y=this._resolveExtends(g[m]);if(y){if(p=!!(y.config&&y.config.split),Array.isArray(y)){this._expandButton(t,y,T!==void 0&&T.conf!==void 0?T.conf.split:void 0,r,o!==void 0&&o.split!==void 0,i,o);continue}var T=this._buildButton(y,r,y.split!==void 0||y.config!==void 0&&y.config.split!==void 0,s);if(T){if(i!=null?(t.splice(i,0,T),i++):t.push(T),T.conf.buttons&&(T.collection=ht("<"+b.container.content.tag+"/>"),T.conf._collection=T.collection,ht(T.node).append(b.action.dropHtml),this._expandButton(T.buttons,T.conf.buttons,T.conf.split,!p,p,i,T.conf)),T.conf.split){T.collection=ht("<"+b.container.tag+"/>"),T.conf._collection=T.collection;for(var P=0;P<T.conf.split.length;P++){var c=T.conf.split[P];typeof c=="object"&&(c.parent=o,c.collectionLayout===void 0&&(c.collectionLayout=T.conf.collectionLayout),c.dropup===void 0&&(c.dropup=T.conf.dropup),c.fade===void 0&&(c.fade=T.conf.fade))}this._expandButton(T.buttons,T.conf.buttons,T.conf.split,!p,p,i,T.conf)}T.conf.parent=o,y.init&&y.init.call(u.button(T.node),u,ht(T.node),y)}}}},_buildButton:function(t,e,n,r){var s=this,i=this.c.dom,o,u=this.s.dt,p=function(Q){return typeof Q=="function"?Q(u,m,t):Q},b=ht.extend(!0,{},i.button);if(e&&n&&i.collection.split?ht.extend(!0,b,i.collection.split.action):r||e?ht.extend(!0,b,i.collection.button):n&&ht.extend(!0,b,i.split.button),t.spacer){var g=ht("<"+b.spacer.tag+"/>").addClass("dt-button-spacer "+t.style+" "+b.spacer.className).html(p(t.text));return{conf:t,node:g,inserter:g,buttons:[],inCollection:e,isSplit:n,collection:null,textNode:g}}if(t.available&&!t.available(u,t)&&!t.html)return!1;var m;if(t.html)m=ht(t.html);else{var C=function(Q,E,$,w,k){w.action.call(E.button($),Q,E,$,w,k),ht(E.table().node()).triggerHandler("buttons-action.dt",[E.button($),E,$,w])},y=function(Q,E,$,w){w.async?(s.processing($[0],!0),setTimeout(function(){C(Q,E,$,w,function(){s.processing($[0],!1)})},w.async)):C(Q,E,$,w,function(){})},T=t.tag||b.tag,P=t.clickBlurs===void 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o=e[i];ht.isPlainObject(o)?(n.push(o.value),r.push(o.label)):(n.push(o),r.push(o))}return{extend:"collection",text:s,className:"buttons-page-length",autoClose:!0,buttons:ht.map(n,function(u,p){return{text:r[p],className:"button-page-length",action:function(b,g){g.page.len(u).draw()},init:function(b,g,m){var C=this,y=function(){C.active(b.page.len()===u)};b.on("length.dt"+m.namespace,y),y()},destroy:function(b,g,m){b.off("length.dt"+m.namespace)}}}),init:function(u,p,b){var g=this;u.on("length.dt"+b.namespace,function(){g.text(b.text)})},destroy:function(u,p,b){u.off("length.dt"+b.namespace)}}},spacer:{style:"empty",spacer:!0,text:function(t){return t.i18n("buttons.spacer","")}}});at.Api.register("buttons()",function(t,e){e===void 0&&(e=t,t=void 0),this.selector.buttonGroup=t;var n=this.iterator(!0,"table",function(r){if(r._buttons)return te.buttonSelector(te.instanceSelector(t,r._buttons),e)},!0);return n._groupSelector=t,n});at.Api.register("button()",function(t,e){var 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t=ht(),e=this._groupSelector;return this.iterator(!0,"table",function(n){if(n._buttons)for(var r=te.instanceSelector(e,n._buttons),s=0,i=r.length;s<i;s++)t=t.add(r[s].container())}),t});at.Api.register("buttons().container()",function(){return this.containers().eq(0)});at.Api.register("button().add()",function(t,e,n){var r=this.context;if(r.length){var s=te.instanceSelector(this._groupSelector,r[0]._buttons);s.length&&s[0].add(e,t,n)}return this.button(this._groupSelector,t)});at.Api.register("buttons().destroy()",function(){return this.pluck("inst").unique().each(function(t){t.destroy()}),this});at.Api.registerPlural("buttons().remove()","buttons().remove()",function(){return this.each(function(t){t.inst.remove(t.node)}),this});var ar;at.Api.register("buttons.info()",function(t,e,n){var r=this;return 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p=t(this.s.dt.table().node()).add(this.s.dt.table().header().parentNode).add(this.s.dt.table().footer().parentNode).add("div.dt-scroll-headInner table",this.s.dt.table().container()).add("div.dt-scroll-footInner table",this.s.dt.table().container()),b=u.scrollLeft,g=!this.s.rtl,m=b!==0,C=u.scrollWidth>u.clientWidth+Math.abs(b)+1;p.toggleClass(this.classes.tableScrollingStart,m),p.toggleClass(this.classes.tableScrollingEnd,C),p.toggleClass(this.classes.tableScrollingLeft,m&&g||C&&!g),p.toggleClass(this.classes.tableScrollingRight,C&&g||m&&!g)}},o.prototype._setKeyTableListener=function(){var u=this;this.s.dt.on("key-focus.dt.dtfc",function(p,b,g){var m,C=t(g.node()).offset(),y=u.dom.scroller[0],T=t(t(u.s.dt.table().node()).closest("div.dt-scroll-body"));if(u.c.start>0){var P=t(u.s.dt.column(u.c.start-1).header()),c=P.offset(),l=P.outerWidth();t(g.node()).hasClass(u.classes.fixedLeft)?T.scrollLeft(0):C.left<c.left+l&&(m=T.scrollLeft(),T.scrollLeft(m-(c.left+l-C.left)))}if(u.c.end>0){var h=u.s.dt.columns().data().toArray().length,_=t(g.node()).outerWidth(),F=t(u.s.dt.column(h-u.c.end).header()),O=F.offset();t(g.node()).hasClass(u.classes.fixedRight)?T.scrollLeft(y.scrollWidth-y.clientWidth):C.left+_>O.left&&(m=T.scrollLeft(),T.scrollLeft(m-(O.left-(C.left+_))))}})},o.prototype._sum=function(u,p,b){return b===void 0&&(b=!1),b&&(u=u.slice().reverse()),u.slice(0,p).reduce(function(g,m){return g+m},0)},o.version="5.0.0",o.classes={bottomBlocker:"dtfc-bottom-blocker",fixedEnd:"dtfc-fixed-end",fixedLeft:"dtfc-fixed-left",fixedRight:"dtfc-fixed-right",fixedStart:"dtfc-fixed-start",tableFixedEnd:"dtfc-has-end",tableFixedLeft:"dtfc-has-left",tableFixedRight:"dtfc-has-right",tableFixedStart:"dtfc-has-start",tableScrollingEnd:"dtfc-scrolling-end",tableScrollingLeft:"dtfc-scrolling-left",tableScrollingRight:"dtfc-scrolling-right",tableScrollingStart:"dtfc-scrolling-start",topBlocker:"dtfc-top-blocker"},o.defaults={i18n:{button:"FixedColumns"},start:1,end:0},o}();n(un),un.fn.dataTable.FixedColumns=r,un.fn.DataTable.FixedColumns=r;var s=at.Api.register;s("fixedColumns()",function(){return this}),s("fixedColumns().start()",function(o){var u=this.context[0];return o!==void 0?(u._fixedColumns.start(o),this):u._fixedColumns.start()}),s("fixedColumns().end()",function(o){var u=this.context[0];return o!==void 0?(u._fixedColumns.end(o),this):u._fixedColumns.end()}),s("fixedColumns().left()",function(o){var u=this.context[0];return o!==void 0?(u._fixedColumns.left(o),this):u._fixedColumns.left()}),s("fixedColumns().right()",function(o){var u=this.context[0];return o!==void 0?(u._fixedColumns.right(o),this):u._fixedColumns.right()}),at.ext.buttons.fixedColumns={action:function(o,u,p,b){un(p).attr("active")?(un(p).removeAttr("active").removeClass("active"),u.fixedColumns().start(0),u.fixedColumns().end(0)):(un(p).attr("active","true").addClass("active"),u.fixedColumns().start(b.config.start),u.fixedColumns().end(b.config.end))},config:{start:1,end:0},init:function(o,u,p){o.settings()[0]._fixedColumns===void 0&&i(o.settings(),p),un(u).attr("active","true").addClass("active"),o.button(u).text(p.text||o.i18n("buttons.fixedColumns",o.settings()[0]._fixedColumns.c.i18n.button))},text:null};function i(o,u){u===void 0&&(u=null);var p=new at.Api(o),b=u||p.init().fixedColumns||at.defaults.fixedColumns,g=new r(p,b);return g}un(document).on("plugin-init.dt",function(o,u){o.namespace==="dt"&&(u.oInit.fixedColumns||at.defaults.fixedColumns)&&(u._fixedColumns||i(u,null))})})();var nd=ie(ae(),1);var qs=ie(ae(),1);var jt=qs.default,td=0,ed=0,_n=function(t,e){if(!at.versionCheck||!at.versionCheck("1.10.8"))throw"KeyTable requires DataTables 1.10.8 or newer";this.c=jt.extend(!0,{},at.defaults.keyTable,_n.defaults,e),this.s={dt:new at.Api(t),dtDrawing:!1,enable:!0,focusDraw:!1,waitingForDraw:!1,lastFocus:null,namespace:".keyTable-"+td++,tabInput:null},this.dom={};var n=this.s.dt.settings()[0],r=n.keytable;if(r)return r;n.keytable=this,this._constructor()};jt.extend(_n.prototype,{blur:function(){this._blur()},enable:function(t){this.s.enable=t},enabled:function(){return this.s.enable},focus:function(t,e){this._focus(this.s.dt.cell(t,e))},focused:function(t){var e=this.s.lastFocus;if(!e)return!1;var n=this.s.lastFocus.cell.index();return t.row===n.row&&t.column===n.column},_constructor:function(){this._tabInput();var t=this,e=this.s.dt,n=jt(e.table().node()),r=this.s.namespace,s=!1;if(n.css("position")==="static"&&n.css("position","relative"),jt(e.table().body()).on("click"+r,"th, td",function(u){if(t.s.enable!==!1){var p=e.cell(this);p.any()&&t._focus(p,null,!1,u)}}),jt(document).on("keydown"+r,function(u){!s&&!t.s.dtDrawing?t._key(u):u.preventDefault()}),this.c.blurable&&jt(document).on("mousedown"+r,function(u){jt(u.target).parents(".dataTables_filter, .dt-search").length&&t._blur(),!jt(u.target).parents().filter(e.table().container()).length&&(jt(u.target).parents("div.DTE").length||jt(u.target).parents("div.editor-datetime").length||jt(u.target).parents("div.dt-datetime").length||jt(u.target).parents().filter(".DTFC_Cloned").length||t._blur())}),this.c.editor){var i=this.c.editor;i.on("open.keyTableMain",function(u,p,b){p!=="inline"&&t.s.enable&&(t.enable(!1),i.one("close"+r,function(){t.enable(!0)}))}),this.c.editOnFocus&&e.on("key-focus"+r+" key-refocus"+r,function(u,p,b,g){t._editor(null,g,!0)}),e.on("key"+r,function(u,p,b,g,m){t._editor(b,m,!1)}),jt(e.table().body()).on("dblclick"+r,"th, td",function(u){if(t.s.enable!==!1){var p=e.cell(this);p.any()&&(t.s.lastFocus&&this!==t.s.lastFocus.cell.node()||t._editor(null,u,!0))}}),i.on("preSubmit",function(){s=!0}).on("preSubmitCancelled",function(){s=!1}).on("submitComplete",function(){s=!1})}e.on("stateSaveParams"+r,function(u,p,b){b.keyTable=t.s.lastFocus?t.s.lastFocus.cell.index():null}),e.on("column-visibility"+r,function(u){t._tabInput()}),e.on("column-reorder"+r,function(u,p,b){var g=t.s.lastFocus;if(g&&g.cell){var m=g.relative.column;g.cell[0][0].column=b.mapping.indexOf(m),g.relative.column=b.mapping.indexOf(m)}}),e.on("preDraw"+r+" scroller-will-draw"+r,function(u){t.s.dtDrawing=!0}),e.on("draw"+r,function(u){if(t.s.dtDrawing=!1,t._tabInput(),!t.s.focusDraw){var p=t.s.lastFocus;if(p){var b=t.s.lastFocus.relative,g=e.page.info(),m=b.row;if(g.recordsDisplay===0||m<g.start||m>g.start+g.length)return;m>=g.recordsDisplay&&(m=g.recordsDisplay-1),t._focus(m,b.column,!0,u)}}}),this.c.clipboard&&this._clipboard(),e.on("destroy"+r,function(){t._blur(!0),e.off(r),jt(e.table().body()).off("click"+r,"th, td").off("dblclick"+r,"th, td"),jt(document).off("mousedown"+r).off("keydown"+r).off("copy"+r).off("paste"+r)});var o=e.state.loaded();o&&o.keyTable?e.one("init",function(){var u=e.cell(o.keyTable);u.any()&&u.focus()}):this.c.focus&&e.cell(this.c.focus).focus()},_blur:function(t){if(!(!this.s.enable||!this.s.lastFocus)){var e=this.s.lastFocus.cell;jt(e.node()).removeClass(this.c.className),this.s.lastFocus=null,t||(this._updateFixedColumns(e.index().column),this._emitEvent("key-blur",[this.s.dt,e]))}},_clipboard:function(){var t=this.s.dt,e=this,n=this.s.namespace,r=this.c.clipboard;window.getSelection&&((r===!0||r.copy)&&jt(document).on("copy"+n,function(s){var i=s.originalEvent,o=window.getSelection().toString(),u=e.s.lastFocus;!o&&u&&(i.clipboardData.setData("text/plain",u.cell.render(e.c.clipboardOrthogonal)),i.preventDefault())}),(r===!0||r.paste)&&jt(document).on("paste"+n,function(s){var i=s.originalEvent,o=e.s.lastFocus,u=document.activeElement,p=e.c.editor,b;if(o&&(!u||u.nodeName.toLowerCase()==="body"))if(i.preventDefault(),window.clipboardData&&window.clipboardData.getData?b=window.clipboardData.getData("Text"):i.clipboardData&&i.clipboardData.getData&&(b=i.clipboardData.getData("text/plain")),p){var g=e._inlineOptions(o.cell.index());p.inline(g.cell,g.field,g.options).set(p.displayed()[0],b).submit()}else o.cell.data(b),t.draw(!1)}))},_columns:function(){var t=this.s.dt,e=t.columns(this.c.columns).indexes(),n=[];return t.columns(":visible").every(function(r){e.indexOf(r)!==-1&&n.push(r)}),n},_editor:function(t,e,n){if(this.s.lastFocus&&!(e&&e.type==="draw")){var r=this,s=this.s.dt,i=this.c.editor,o=this.s.lastFocus.cell,u=this.s.namespace+"e"+ed++;if(!jt("div.DTE",o.node()).length&&!(t!==null&&(t>=0&&t<=9||t===11||t===12||t>=14&&t<=31||t>=112&&t<=123||t>=127&&t<=159))){e&&(e.stopPropagation(),t===13&&e.preventDefault());var p=function(){var b=r._inlineOptions(o.index());i.one("open"+u,function(){i.off("cancelOpen"+u),n||jt("div.DTE_Field_InputControl input, div.DTE_Field_InputControl textarea").select(),s.keys.enable(n?"tab-only":"navigation-only"),s.on("key-blur.editor",function(g,m,C){i.s.editOpts.onBlur!=="submit"&&i.displayed()&&C.node()===o.node()&&i.submit()}),n&&jt(s.table().container()).addClass("dtk-focus-alt"),i.on("preSubmitCancelled"+u,function(){setTimeout(function(){r._focus(o,null,!1)},50)}),i.on("submitUnsuccessful"+u,function(){r._focus(o,null,!1)}),i.one("close"+u,function(){s.keys.enable(!0),s.off("key-blur.editor"),i.off(u),jt(s.table().container()).removeClass("dtk-focus-alt"),r.s.returnSubmit&&(r.s.returnSubmit=!1,r._emitEvent("key-return-submit",[s,o]))})}).one("cancelOpen"+u,function(){i.off(u)}).inline(b.cell,b.field,b.options)};t===13?(n=!0,jt(document).one("keyup",function(){p()})):p()}}},_inlineOptions:function(t){return this.c.editorOptions?this.c.editorOptions(t):{cell:t,field:void 0,options:void 0}},_emitEvent:function(t,e){return this.s.dt.iterator("table",function(n,r){return jt(n.nTable).triggerHandler(t,e)})},_focus:function(t,e,n,r){var s=this,i=this.s.dt,o=i.page.info(),u=this.s.lastFocus;if(r||(r=null),!!this.s.enable){if(typeof t!="number"){if(!t.any())return;var p=t.index();if(e=p.column,t=i.rows({filter:"applied",order:"applied"}).indexes().indexOf(p.row),t<0)return;o.serverSide&&(t+=o.start)}if(o.length!==-1&&(t<o.start||t>=o.start+o.length)){this.s.focusDraw=!0,this.s.waitingForDraw=!0,i.one("draw",function(){s.s.focusDraw=!1,s.s.waitingForDraw=!1,s._focus(t,e,void 0,r)}).page(Math.floor(t/o.length)).draw(!1);return}if(jt.inArray(e,this._columns())!==-1){o.serverSide&&(t-=o.start);var b=i.cells(null,e,{search:"applied",order:"applied"}).flatten(),g=i.cell(b[t]),m=this._emitEvent("key-prefocus",[this.s.dt,g,r||null]);if(m.indexOf(!1)===-1){if(u){if(u.node===g.node()){this._emitEvent("key-refocus",[this.s.dt,g,r||null]);return}this._blur()}this._removeOtherFocus();var C=jt(g.node());if(C.addClass(this.c.className),this._updateFixedColumns(e),n===void 0||n===!0){this._scroll(jt(window),jt(document.body),C,"offset");var y=i.table().body().parentNode;if(y!==i.table().header().parentNode){var T=jt(y.parentNode);this._scroll(T,T,C,"position")}}var P=i.page.info();this.s.lastFocus={cell:g,node:g.node(),relative:{row:P.start+i.rows({page:"current"}).indexes().indexOf(g.index().row),column:g.index().column}},this._emitEvent("key-focus",[this.s.dt,g,r||null]),i.state.save()}}}},_key:function(t){if(this.s.waitingForDraw){t.preventDefault();return}if(!jt(t.target).closest(".dte-inlineAdd").length){var e=this.s.enable;this.s.returnSubmit=(e==="navigation-only"||e==="tab-only")&&t.keyCode===13;var n=e===!0||e==="navigation-only";if(e&&!((t.keyCode===0||t.ctrlKey||t.metaKey||t.altKey)&&!(t.ctrlKey&&t.altKey))){var r=this.s.lastFocus;if(r){if(!this.s.dt.cell(r.node).any()){this.s.lastFocus=null;return}var s=this,i=this.s.dt,o=!!this.s.dt.settings()[0].oScroll.sY;if(!(this.c.keys&&jt.inArray(t.keyCode,this.c.keys)===-1))switch(t.keyCode){case 9:t.preventDefault(),this._keyAction(function(){s._shift(t,t.shiftKey?"left":"right",!0)});break;case 27:if(jt(r.node).find("div.DTE").length)return;this.c.blurable&&e===!0&&this._blur();break;case 33:case 34:n&&!o&&(t.preventDefault(),this._keyAction(function(){i.page(t.keyCode===33?"previous":"next").draw(!1)}));break;case 35:case 36:n&&(t.preventDefault(),this._keyAction(function(){var u=i.cells({page:"current"}).indexes(),p=s._columns();s._focus(i.cell(u[t.keyCode===35?u.length-1:p[0]]),null,!0,t)}));break;case 37:n&&this._keyAction(function(){s._shift(t,"left")});break;case 38:n&&this._keyAction(function(){s._shift(t,"up")});break;case 39:n&&this._keyAction(function(){s._shift(t,"right")});break;case 40:n&&this._keyAction(function(){s._shift(t,"down")});break;case 113:if(this.c.editor){this._editor(null,t,!0);break}default:e===!0&&this._emitEvent("key",[i,t.keyCode,this.s.lastFocus.cell,t]);break}}}}},_keyAction:function(t){var e=this.c.editor;e&&e.mode()&&e.display()?e.submit(t):t()},_removeOtherFocus:function(){var t=this.s.dt.table().node();jt.fn.dataTable.tables({api:!0}).iterator("table",function(e){this.table().node()!==t&&this.cell.blur()})},_scroll:function(t,e,n,r){var s=n[r](),i=n.outerHeight(),o=n.outerWidth(),u=e.scrollTop(),p=e.scrollLeft(),b=t.height(),g=t.width();r==="position"&&(s.top+=parseInt(n.closest("table").css("top"),10)),s.top<u&&s.top+i>u-5&&e.scrollTop(s.top),s.left<p&&e.scrollLeft(s.left),s.top+i>u+b&&s.top<u+b+5&&i<b&&e.scrollTop(s.top+i-b),s.left+o>p+g&&o<g&&e.scrollLeft(s.left+o-g)},_shift:function(t,e,n){var r=this.s.dt,s=r.page.info(),i=s.recordsDisplay,o=this._columns(),u=this.s.lastFocus;if(u){var p=u.cell;if(p){var b=r.rows({filter:"applied",order:"applied"}).indexes().indexOf(p.index().row);s.serverSide&&(b+=s.start);var g=r.columns(o).indexes().indexOf(p.index().column),m=b,C=o[g];jt(r.table().node()).css("direction")==="rtl"&&(e==="right"?e="left":e==="left"&&(e="right")),e==="right"?g>=o.length-1?(m++,C=o[0]):C=o[g+1]:e==="left"?g===0?(m--,C=o[o.length-1]):C=o[g-1]:e==="up"?m--:e==="down"&&m++,m>=0&&m<i&&jt.inArray(C,o)!==-1?(t&&t.preventDefault(),this._focus(m,C,!0,t)):!n||!this.c.blurable?t&&t.preventDefault():this._blur()}}},_tabInput:function(){var t=this,e=this.s.dt,n=this.c.tabIndex!==null?this.c.tabIndex:e.settings()[0].iTabIndex;if(n!=-1){if(!this.s.tabInput){var r=jt('<div><input type="text" tabindex="'+n+'"/></div>').css({position:"absolute",height:1,width:0,overflow:"hidden"});r.children().on("focus",function(i){var o=e.cell(":eq(0)",t._columns(),{page:"current"});o.any()&&t._focus(o,null,!0,i)}),this.s.tabInput=r}var s=this.s.dt.cell(":eq(0)","0:visible",{page:"current",order:"current"}).node();s&&jt(s).prepend(this.s.tabInput)}},_updateFixedColumns:function(t){var e=this.s.dt,n=e.settings()[0];if(n._oFixedColumns){var r=n._oFixedColumns.s.iLeftColumns,s=n.aoColumns.length-n._oFixedColumns.s.iRightColumns;(t<r||t>=s)&&e.fixedColumns().update()}}});_n.defaults={blurable:!0,className:"focus",clipboard:!0,clipboardOrthogonal:"display",columns:"",editor:null,editOnFocus:!1,editorOptions:null,focus:null,keys:null,tabIndex:null};_n.version="2.12.1";jt.fn.dataTable.KeyTable=_n;jt.fn.DataTable.KeyTable=_n;at.Api.register("cell.blur()",function(){return this.iterator("table",function(t){t.keytable&&t.keytable.blur()})});at.Api.register("cell().focus()",function(){return this.iterator("cell",function(t,e,n){t.keytable&&t.keytable.focus(e,n)})});at.Api.register("keys.disable()",function(){return this.iterator("table",function(t){t.keytable&&t.keytable.enable(!1)})});at.Api.register("keys.enable()",function(t){return this.iterator("table",function(e){e.keytable&&e.keytable.enable(t===void 0?!0:t)})});at.Api.register("keys.enabled()",function(t){var e=this.context;return e.length&&e[0].keytable?e[0].keytable.enabled():!1});at.Api.register("keys.move()",function(t){return this.iterator("table",function(e){e.keytable&&e.keytable._shift(null,t,!1)})});at.ext.selector.cell.push(function(t,e,n){var r=e.focused,s=t.keytable,i=[];if(!s||r===void 0)return n;for(var o=0,u=n.length;o<u;o++)(r===!0&&s.focused(n[o])||r===!1&&!s.focused(n[o]))&&i.push(n[o]);return i});jt(document).on("preInit.dt.dtk",function(t,e,n){if(t.namespace==="dt"){var r=e.oInit.keys,s=at.defaults.keys;if(r||s){var i=jt.extend({},s,r);r!==!1&&new _n(e,i)}}});var rd=ie(ae(),1);var Xs=ie(ae(),1);var ze=Xs.default,Cn=function(t,e){if(!at.versionCheck||!at.versionCheck("1.11"))throw"RowGroup requires DataTables 1.11 or newer";this.c=ze.extend(!0,{},at.defaults.rowGroup,Cn.defaults,e),this.s={dt:new at.Api(t)},this.dom={};var n=this.s.dt.settings()[0],r=n.rowGroup;if(r)return r;n.rowGroup=this,this._constructor()};ze.extend(Cn.prototype,{dataSrc:function(t){if(t===void 0)return this.c.dataSrc;var e=this.s.dt;return this.c.dataSrc=t,ze(e.table().node()).triggerHandler("rowgroup-datasrc.dt",[e,t]),this},disable:function(){return this.c.enable=!1,this},enable:function(t){return t===!1?this.disable():(this.c.enable=!0,this)},enabled:function(){return this.c.enable},_constructor:function(){var t=this,e=this.s.dt,n=e.settings()[0];e.on("draw.dtrg",function(r,s){t.c.enable&&n===s&&t._draw()}),e.on("column-visibility.dt.dtrg responsive-resize.dt.dtrg",function(){t._adjustColspan()}),e.on("destroy",function(){e.off(".dtrg")})},_adjustColspan:function(){ze("tr."+this.c.className,this.s.dt.table().body()).find("th:visible, td:visible").attr("colspan",this._colspan())},_colspan:function(){return this.s.dt.columns().visible().reduce(function(t,e){return t+e},0)},_draw:function(){var t=this.s.dt,e=this._group(0,t.rows({page:"current"}).indexes());this._groupDisplay(0,e)},_group:function(t,e){var n=Array.isArray(this.c.dataSrc)?this.c.dataSrc:[this.c.dataSrc],r=at.util.get(n[t]),s=this.s.dt,i,o,u,p,b=[],g=this;for(u=0,p=e.length;u<p;u++){var m=e[u],C=s.row(m).data();i=r(C,t),i==null&&(i=g.c.emptyDataGroup),(o===void 0||i!==o)&&(b.push({dataPoint:i,rows:[]}),o=i),b[b.length-1].rows.push(m)}if(n[t+1]!==void 0)for(u=0,p=b.length;u<p;u++)b[u].children=this._group(t+1,b[u].rows);return b},_groupDisplay:function(t,e){for(var n=this.s.dt,r,s=0,i=e.length;s<i;s++){var o=e[s],u=o.dataPoint,p,b=o.rows;this.c.startRender&&(r=this.c.startRender.call(this,n.rows(b),u,t),p=this._rowWrap(r,this.c.startClassName,t),p&&p.insertBefore(n.row(b[0]).node())),this.c.endRender&&(r=this.c.endRender.call(this,n.rows(b),u,t),p=this._rowWrap(r,this.c.endClassName,t),p&&p.insertAfter(n.row(b[b.length-1]).node())),o.children&&this._groupDisplay(t+1,o.children)}},_rowWrap:function(t,e,n){var r;return(t===null||t==="")&&(t=this.c.emptyDataGroup),t==null?null:(typeof t=="object"&&t.nodeName&&t.nodeName.toLowerCase()==="tr"?r=ze(t):t instanceof ze&&t.length&&t[0].nodeName.toLowerCase()==="tr"?r=t:r=ze("<tr/>").append(ze("<th/>").attr("colspan",this._colspan()).attr("scope","row").append(t)),r.addClass(this.c.className).addClass(e).addClass("dtrg-level-"+n))}});Cn.defaults={className:"dtrg-group",dataSrc:0,emptyDataGroup:"No group",enable:!0,endClassName:"dtrg-end",endRender:null,startClassName:"dtrg-start",startRender:function(t,e){return e}};Cn.version="1.5.0";ze.fn.dataTable.RowGroup=Cn;ze.fn.DataTable.RowGroup=Cn;at.Api.register("rowGroup()",function(){return this});at.Api.register("rowGroup().disable()",function(){return this.iterator("table",function(t){t.rowGroup&&t.rowGroup.enable(!1)})});at.Api.register("rowGroup().enable()",function(t){return this.iterator("table",function(e){e.rowGroup&&e.rowGroup.enable(t===void 0?!0:t)})});at.Api.register("rowGroup().enabled()",function(){var t=this.context;return t.length&&t[0].rowGroup?t[0].rowGroup.enabled():!1});at.Api.register("rowGroup().dataSrc()",function(t){return t===void 0?this.context[0].rowGroup.dataSrc():this.iterator("table",function(e){e.rowGroup&&e.rowGroup.dataSrc(t)})});ze(document).on("preInit.dt.dtrg",function(t,e,n){if(t.namespace==="dt"){var r=e.oInit.rowGroup,s=at.defaults.rowGroup;if(r||s){var i=ze.extend({},s,r);r!==!1&&new Cn(e,i)}}});var Ys=ie(ae(),1);var Mt=Ys.default,ce,de=function(t,e){if(de.factory(t,e))return de;typeof ce>"u"&&(ce=window.moment?window.moment:window.dayjs?window.dayjs:window.luxon?window.luxon:null),this.c=Mt.extend(!0,{},de.defaults,e);var n=this.c.classPrefix;if(!ce&&this.c.format!=="YYYY-MM-DD")throw"DateTime: Without momentjs, dayjs or luxon only the format 'YYYY-MM-DD' can be used";typeof this.c.minDate=="string"&&(this.c.minDate=new Date(this.c.minDate)),typeof this.c.maxDate=="string"&&(this.c.maxDate=new Date(this.c.maxDate));var r=Mt('<div class="'+n+'"><div class="'+n+'-date"><div class="'+n+'-title"><div class="'+n+'-iconLeft"><button type="button"></button></div><div class="'+n+'-iconRight"><button type="button"></button></div><div class="'+n+'-label"><span></span><select class="'+n+'-month"></select></div><div class="'+n+'-label"><span></span><select class="'+n+'-year"></select></div></div><div class="'+n+'-buttons"><a class="'+n+'-clear"></a><a class="'+n+'-today"></a></div><div class="'+n+'-calendar"></div></div><div class="'+n+'-time"><div class="'+n+'-hours"></div><div class="'+n+'-minutes"></div><div class="'+n+'-seconds"></div></div><div class="'+n+'-error"></div></div>');this.dom={container:r,date:r.find("."+n+"-date"),title:r.find("."+n+"-title"),calendar:r.find("."+n+"-calendar"),time:r.find("."+n+"-time"),error:r.find("."+n+"-error"),buttons:r.find("."+n+"-buttons"),clear:r.find("."+n+"-clear"),today:r.find("."+n+"-today"),previous:r.find("."+n+"-iconLeft"),next:r.find("."+n+"-iconRight"),input:Mt(t)},this.s={d:null,display:null,minutesRange:null,secondsRange:null,namespace:"dateime-"+de._instance++,parts:{date:this.c.format.match(/[YMD]|L(?!T)|l/)!==null,time:this.c.format.match(/[Hhm]|LT|LTS/)!==null,seconds:this.c.format.indexOf("s")!==-1,hours12:this.c.format.match(/[haA]/)!==null}},this.dom.container.append(this.dom.date).append(this.dom.time).append(this.dom.error),this.dom.date.append(this.dom.title).append(this.dom.buttons).append(this.dom.calendar),this.dom.input.addClass("dt-datetime"),this._constructor()};Mt.extend(de.prototype,{destroy:function(){this._hide(!0),this.dom.container.off().empty(),this.dom.input.removeClass("dt-datetime").removeAttr("autocomplete").off(".datetime")},display:function(t,e){return t!==void 0&&this.s.display.setUTCFullYear(t),e!==void 0&&this.s.display.setUTCMonth(e-1),t!==void 0||e!==void 0?(this._setTitle(),this._setCalander(),this):{month:this.s.display.getUTCMonth()+1,year:this.s.display.getUTCFullYear()}},errorMsg:function(t){var e=this.dom.error;return t?e.html(t):e.empty(),this},hide:function(){return this._hide(),this},max:function(t){return this.c.maxDate=typeof t=="string"?new Date(t):t,this._optionsTitle(),this._setCalander(),this},min:function(t){return this.c.minDate=typeof t=="string"?new Date(t):t,this._optionsTitle(),this._setCalander(),this},owns:function(t){return Mt(t).parents().filter(this.dom.container).length>0},val:function(t,e){return t===void 0?this.s.d:(t instanceof Date?this.s.d=this._dateToUtc(t):t===null||t===""?this.s.d=null:t==="--now"?this.s.d=this._dateToUtc(new Date):typeof t=="string"&&(this.s.d=this._dateToUtc(this._convert(t,this.c.format,null))),(e||e===void 0)&&(this.s.d?this._writeOutput():this.dom.input.val(t)),this.s.display=this.s.d?new Date(this.s.d.toString()):new Date,this.s.display.setUTCDate(1),this._setTitle(),this._setCalander(),this._setTime(),this)},valFormat:function(t,e){return e?(this.val(this._convert(e,t,null)),this):this._convert(this.val(),null,t)},_constructor:function(){var t=this,e=this.c.classPrefix,n=this.dom.input.val(),r=function(){var s=t.dom.input.val();s!==n&&(t.c.onChange.call(t,s,t.s.d,t.dom.input),n=s)};this.s.parts.date||this.dom.date.css("display","none"),this.s.parts.time||this.dom.time.css("display","none"),this.s.parts.seconds||(this.dom.time.children("div."+e+"-seconds").remove(),this.dom.time.children("span").eq(1).remove()),this.c.buttons.clear||this.dom.clear.css("display","none"),this.c.buttons.today||this.dom.today.css("display","none"),this._optionsTitle(),Mt(document).on("i18n.dt",function(s,i){i.oLanguage.datetime&&(Mt.extend(!0,t.c.i18n,i.oLanguage.datetime),t._optionsTitle())}),this.dom.input.attr("type")==="hidden"&&(this.dom.container.addClass("inline"),this.c.attachTo="input",this.val(this.dom.input.val(),!1),this._show()),n&&this.val(n,!1),this.dom.input.attr("autocomplete","off").on("focus.datetime click.datetime",function(){t.dom.container.is(":visible")||t.dom.input.is(":disabled")||(t.val(t.dom.input.val(),!1),t._show())}).on("keyup.datetime",function(){t.dom.container.is(":visible")&&t.val(t.dom.input.val(),!1)}),this.dom.container[0].addEventListener("focusin",function(s){s.stopPropagation()}),this.dom.container.on("change","select",function(){var s=Mt(this),i=s.val();if(s.hasClass(e+"-month"))t._correctMonth(t.s.display,i),t._setTitle(),t._setCalander();else if(s.hasClass(e+"-year"))t.s.display.setUTCFullYear(i),t._setTitle(),t._setCalander();else if(s.hasClass(e+"-hours")||s.hasClass(e+"-ampm")){if(t.s.parts.hours12){var o=Mt(t.dom.container).find("."+e+"-hours").val()*1,u=Mt(t.dom.container).find("."+e+"-ampm").val()==="pm";t.s.d.setUTCHours(o===12&&!u?0:u&&o!==12?o+12:o)}else t.s.d.setUTCHours(i);t._setTime(),t._writeOutput(!0),r()}else s.hasClass(e+"-minutes")?(t.s.d.setUTCMinutes(i),t._setTime(),t._writeOutput(!0),r()):s.hasClass(e+"-seconds")&&(t.s.d.setSeconds(i),t._setTime(),t._writeOutput(!0),r());t.dom.input.focus(),t._position()}).on("click",function(s){var i=t.s.d,o=s.target.nodeName.toLowerCase(),u=o==="span"?s.target.parentNode:s.target;if(o=u.nodeName.toLowerCase(),o!=="select")if(s.stopPropagation(),o==="a"&&(s.preventDefault(),Mt(u).hasClass(e+"-clear")?(t.s.d=null,t.dom.input.val(""),t._writeOutput(),t._setCalander(),t._setTime(),r()):Mt(u).hasClass(e+"-today")&&(t.s.display=new Date,t._setTitle(),t._setCalander())),o==="button"){var p=Mt(u),b=p.parent();if(b.hasClass("disabled")&&!b.hasClass("range")){p.blur();return}if(b.hasClass(e+"-iconLeft"))t.s.display.setUTCMonth(t.s.display.getUTCMonth()-1),t._setTitle(),t._setCalander(),t.dom.input.focus();else if(b.hasClass(e+"-iconRight"))t._correctMonth(t.s.display,t.s.display.getUTCMonth()+1),t._setTitle(),t._setCalander(),t.dom.input.focus();else if(p.parents("."+e+"-time").length){var g=p.data("value"),m=p.data("unit");if(i=t._needValue(),m==="minutes")if(b.hasClass("disabled")&&b.hasClass("range")){t.s.minutesRange=g,t._setTime();return}else t.s.minutesRange=null;if(m==="seconds")if(b.hasClass("disabled")&&b.hasClass("range")){t.s.secondsRange=g,t._setTime();return}else t.s.secondsRange=null;if(g==="am")if(i.getUTCHours()>=12)g=i.getUTCHours()-12;else return;else if(g==="pm")if(i.getUTCHours()<12)g=i.getUTCHours()+12;else return;var C=m==="hours"?"setUTCHours":m==="minutes"?"setUTCMinutes":"setSeconds";i[C](g),t._setCalander(),t._setTime(),t._writeOutput(!0),r()}else i=t._needValue(),i.setUTCDate(1),i.setUTCFullYear(p.data("year")),i.setUTCMonth(p.data("month")),i.setUTCDate(p.data("day")),t._writeOutput(!0),t.s.parts.time?(t._setCalander(),t._setTime()):setTimeout(function(){t._hide()},10),r()}else t.dom.input.focus()})},_compareDates:function(t,e){return this._isLuxon()?ce.DateTime.fromJSDate(t).toUTC().toISODate()===ce.DateTime.fromJSDate(e).toUTC().toISODate():this._dateToUtcString(t)===this._dateToUtcString(e)},_convert:function(t,e,n){if(!t)return t;if(ce)if(this._isLuxon()){var s=t instanceof Date?ce.DateTime.fromJSDate(t).toUTC():ce.DateTime.fromFormat(t,e);return s.isValid?n?s.toFormat(n):s.toJSDate():null}else{var i=t instanceof Date?ce.utc(t,void 0,this.c.locale,this.c.strict):ce(t,e,this.c.locale,this.c.strict);return i.isValid()?n?i.format(n):i.toDate():null}else{if(!e&&!n||e&&n)return t;if(e){var r=t.match(/(\d{4})\-(\d{2})\-(\d{2})/);return r?new Date(r[1],r[2]-1,r[3]):null}else return t.getUTCFullYear()+"-"+this._pad(t.getUTCMonth()+1)+"-"+this._pad(t.getUTCDate())}},_correctMonth:function(t,e){var n=this._daysInMonth(t.getUTCFullYear(),e),r=t.getUTCDate()>n;t.setUTCMonth(e),r&&(t.setUTCDate(n),t.setUTCMonth(e))},_daysInMonth:function(t,e){var n=t%4===0&&(t%100!==0||t%400===0),r=[31,n?29:28,31,30,31,30,31,31,30,31,30,31];return r[e]},_dateToUtc:function(t){return t&&new Date(Date.UTC(t.getFullYear(),t.getMonth(),t.getDate(),t.getHours(),t.getMinutes(),t.getSeconds()))},_dateToUtcString:function(t){return this._isLuxon()?ce.DateTime.fromJSDate(t).toUTC().toISODate():t.getUTCFullYear()+"-"+this._pad(t.getUTCMonth()+1)+"-"+this._pad(t.getUTCDate())},_hide:function(t){if(!(!t&&this.dom.input.attr("type")==="hidden")){var e=this.s.namespace;this.dom.container.detach(),Mt(window).off("."+e),Mt(document).off("keydown."+e),Mt("div.dataTables_scrollBody").off("scroll."+e),Mt("div.DTE_Body_Content").off("scroll."+e),Mt("body").off("click."+e),Mt(this.dom.input[0].offsetParent).off("."+e)}},_hours24To12:function(t){return t===0?12:t>12?t-12:t},_htmlDay:function(t){if(t.empty)return'<td class="empty"></td>';var e=["selectable"],n=this.c.classPrefix;return t.disabled&&e.push("disabled"),t.today&&e.push("now"),t.selected&&e.push("selected"),'<td data-day="'+t.day+'" class="'+e.join(" ")+'"><button class="'+n+"-button "+n+'-day" type="button" data-year="'+t.year+'" data-month="'+t.month+'" data-day="'+t.day+'"><span>'+t.day+"</span></button></td>"},_htmlMonth:function(t,e){var n=this._dateToUtc(new Date),r=this._daysInMonth(t,e),s=new Date(Date.UTC(t,e,1)).getUTCDay(),i=[],o=[];this.c.firstDay>0&&(s-=this.c.firstDay,s<0&&(s+=7));for(var u=r+s,p=u;p>7;)p-=7;u+=7-p;var b=this.c.minDate,g=this.c.maxDate;b&&(b.setUTCHours(0),b.setUTCMinutes(0),b.setSeconds(0)),g&&(g.setUTCHours(23),g.setUTCMinutes(59),g.setSeconds(59));for(var m=0,C=0;m<u;m++){var y=new Date(Date.UTC(t,e,1+(m-s))),T=this.s.d?this._compareDates(y,this.s.d):!1,P=this._compareDates(y,n),c=m<s||m>=r+s,l=b&&y<b||g&&y>g,h=this.c.disableDays;(Array.isArray(h)&&Mt.inArray(y.getUTCDay(),h)!==-1||typeof h=="function"&&h(y)===!0)&&(l=!0);var _={day:1+(m-s),month:e,year:t,selected:T,today:P,disabled:l,empty:c};o.push(this._htmlDay(_)),++C===7&&(this.c.showWeekNumber&&o.unshift(this._htmlWeekOfYear(m-s,e,t)),i.push("<tr>"+o.join("")+"</tr>"),o=[],C=0)}var F=this.c.classPrefix,O=F+"-table";if(this.c.showWeekNumber&&(O+=" weekNumber"),b){var f=b>=new Date(Date.UTC(t,e,1,0,0,0));this.dom.title.find("div."+F+"-iconLeft").css("display",f?"none":"block")}if(g){var U=g<new Date(Date.UTC(t,e+1,1,0,0,0));this.dom.title.find("div."+F+"-iconRight").css("display",U?"none":"block")}return'<table class="'+O+'"><thead>'+this._htmlMonthHead()+"</thead><tbody>"+i.join("")+"</tbody></table>"},_htmlMonthHead:function(){var t=[],e=this.c.firstDay,n=this.c.i18n,r=function(i){for(i+=e;i>=7;)i-=7;return n.weekdays[i]};this.c.showWeekNumber&&t.push("<th></th>");for(var s=0;s<7;s++)t.push("<th>"+r(s)+"</th>");return t.join("")},_htmlWeekOfYear:function(t,e,n){var r=new Date(n,e,t,0,0,0,0);r.setDate(r.getDate()+4-(r.getDay()||7));var s=new Date(n,0,1),i=Math.ceil(((r-s)/864e5+1)/7);return'<td class="'+this.c.classPrefix+'-week">'+i+"</td>"},_isLuxon:function(){return!!(ce&&ce.DateTime&&ce.Duration&&ce.Settings)},_needValue:function(){return this.s.d||(this.s.d=this._dateToUtc(new Date),this.s.parts.time||(this.s.d.setUTCHours(0),this.s.d.setUTCMinutes(0),this.s.d.setSeconds(0),this.s.d.setMilliseconds(0))),this.s.d},_options:function(t,e,n){n||(n=e);var r=this.dom.container.find("select."+this.c.classPrefix+"-"+t);r.empty();for(var s=0,i=e.length;s<i;s++)r.append('<option value="'+e[s]+'">'+n[s]+"</option>")},_optionSet:function(t,e){var n=this.dom.container.find("select."+this.c.classPrefix+"-"+t),r=n.parent().children("span");n.val(e);var s=n.find("option:selected");r.html(s.length!==0?s.text():this.c.i18n.unknown)},_optionsTime:function(t,e,n,r,s){var i=this.c.classPrefix,o=this.dom.container.find("div."+i+"-"+t),u,p,b=e===12?function(l){return l}:this._pad,g=i+"-table",m=this.c.i18n;if(o.length){var C="",y=10,T=function(l,h,_){e===12&&typeof l=="number"&&(n>=12&&(l+=12),l==12?l=0:l==24&&(l=12));var F=n===l||l==="am"&&n<12||l==="pm"&&n>=12?"selected":"";return typeof l=="number"&&r&&Mt.inArray(l,r)===-1&&(F+=" disabled"),_&&(F+=" "+_),'<td class="selectable '+F+'"><button class="'+i+"-button "+i+'-day" type="button" data-unit="'+t+'" data-value="'+l+'"><span>'+h+"</span></button></td>"};if(e===12){for(C+="<tr>",u=1;u<=6;u++)C+=T(u,b(u));for(C+=T("am",m.amPm[0]),C+="</tr>",C+="<tr>",u=7;u<=12;u++)C+=T(u,b(u));C+=T("pm",m.amPm[1]),C+="</tr>",y=7}else if(e===24){var P=0;for(p=0;p<4;p++){for(C+="<tr>",u=0;u<6;u++)C+=T(P,b(P)),P++;C+="</tr>"}y=6}else{for(C+="<tr>",p=0;p<60;p+=10)C+=T(p,b(p),"range");C+="</tr>",C+='</tbody></thead><table class="'+g+" "+g+'-nospace"><tbody>';var c=s!==null?s:n===-1?0:Math.floor(n/10)*10;for(C+="<tr>",p=c+1;p<c+10;p++)C+=T(p,b(p));C+="</tr>",y=6}o.empty().append('<table class="'+g+'"><thead><tr><th colspan="'+y+'">'+m[t]+"</th></tr></thead><tbody>"+C+"</tbody></table>")}},_optionsTitle:function(){var t=this.c.i18n,e=this.c.minDate,n=this.c.maxDate,r=e?e.getFullYear():null,s=n?n.getFullYear():null,i=r!==null?r:new Date().getFullYear()-this.c.yearRange,o=s!==null?s:new Date().getFullYear()+this.c.yearRange;this._options("month",this._range(0,11),t.months),this._options("year",this._range(i,o)),this.dom.today.text(t.today).text(t.today),this.dom.clear.text(t.clear).text(t.clear),this.dom.previous.attr("title",t.previous).children("button").text(t.previous),this.dom.next.attr("title",t.next).children("button").text(t.next)},_pad:function(t){return t<10?"0"+t:t},_position:function(){var t=this.c.attachTo==="input"?this.dom.input.position():this.dom.input.offset(),e=this.dom.container,n=this.dom.input.outerHeight();if(e.hasClass("inline")){e.insertAfter(this.dom.input);return}this.s.parts.date&&this.s.parts.time&&Mt(window).width()>550?e.addClass("horizontal"):e.removeClass("horizontal"),this.c.attachTo==="input"?e.css({top:t.top+n,left:t.left}).insertAfter(this.dom.input):e.css({top:t.top+n,left:t.left}).appendTo("body");var r=e.outerHeight(),s=e.outerWidth(),i=Mt(window).scrollTop();if(t.top+n+r-i>Mt(window).height()){var o=t.top-r;e.css("top",o<0?0:o)}if(s+t.left>Mt(window).width()){var u=Mt(window).width()-s;this.c.attachTo==="input"&&(u-=Mt(e).offsetParent().offset().left),e.css("left",u<0?0:u)}},_range:function(t,e,n){var r=[];n||(n=1);for(var s=t;s<=e;s+=n)r.push(s);return r},_setCalander:function(){this.s.display&&this.dom.calendar.empty().append(this._htmlMonth(this.s.display.getUTCFullYear(),this.s.display.getUTCMonth()))},_setTitle:function(){this._optionSet("month",this.s.display.getUTCMonth()),this._optionSet("year",this.s.display.getUTCFullYear())},_setTime:function(){var t=this,e=this.s.d,n=null;this._isLuxon()&&(n=ce.DateTime.fromJSDate(e).toUTC());var r=n!=null?n.hour:e?e.getUTCHours():-1,s=function(i){return t.c[i+"Available"]?t.c[i+"Available"]:t._range(0,59,t.c[i+"Increment"])};this._optionsTime("hours",this.s.parts.hours12?12:24,r,this.c.hoursAvailable),this._optionsTime("minutes",60,n!=null?n.minute:e?e.getUTCMinutes():-1,s("minutes"),this.s.minutesRange),this._optionsTime("seconds",60,n!=null?n.second:e?e.getSeconds():-1,s("seconds"),this.s.secondsRange)},_show:function(){var t=this,e=this.s.namespace;this._position(),Mt(window).on("scroll."+e+" resize."+e,function(){t._position()}),Mt("div.DTE_Body_Content").on("scroll."+e,function(){t._position()}),Mt("div.dataTables_scrollBody").on("scroll."+e,function(){t._position()});var n=this.dom.input[0].offsetParent;n!==document.body&&Mt(n).on("scroll."+e,function(){t._position()}),Mt(document).on("keydown."+e,function(r){(r.keyCode===9||r.keyCode===27||r.keyCode===13)&&t._hide()}),setTimeout(function(){Mt("body").on("click."+e,function(r){var s=Mt(r.target).parents();!s.filter(t.dom.container).length&&r.target!==t.dom.input[0]&&t._hide()})},10)},_writeOutput:function(t){var e=this.s.d,n="",r=this.dom.input;e&&(n=this._convert(e,null,this.c.format)),r.val(n);var s=new Event("change",{bubbles:!0});r[0].dispatchEvent(s),r.attr("type")==="hidden"&&this.val(n,!1),t&&r.focus()}});de.use=function(t){ce=t};de._instance=0;de.type="DateTime";de.defaults={attachTo:"body",buttons:{clear:!1,today:!1},classPrefix:"dt-datetime",disableDays:null,firstDay:1,format:"YYYY-MM-DD",hoursAvailable:null,i18n:{clear:"Clear",previous:"Previous",next:"Next",months:["January","February","March","April","May","June","July","August","September","October","November","December"],weekdays:["Sun","Mon","Tue","Wed","Thu","Fri","Sat"],amPm:["am","pm"],hours:"Hour",minutes:"Minute",seconds:"Second",unknown:"-",today:"Today"},maxDate:null,minDate:null,minutesAvailable:null,minutesIncrement:1,strict:!0,locale:"en",onChange:function(){},secondsAvailable:null,secondsIncrement:1,showWeekNumber:!1,yearRange:25};de.version="1.5.3";de.factory=function(t,e){var n=!1;return t&&t.document&&(window=t,document=t.document),e&&e.fn&&e.fn.jquery&&(Mt=e,n=!0),n};window.DateTime||(window.DateTime=de);window.DataTable&&(window.DataTable.DateTime=de);Mt.fn.dtDateTime=function(t){return this.each(function(){new de(this,t)})};Mt.fn.dataTable&&(Mt.fn.dataTable.DateTime=de,Mt.fn.DataTable.DateTime=de,Mt.fn.dataTable.Editor&&(Mt.fn.dataTable.Editor.DateTime=de));var id=de;var ad=ie(ae(),1);var $s=ie(ae(),1);var cn=$s.default;(function(){"use strict";var t,e;function n(){var c=at.use("moment");return c||window.moment}function r(){var c=at.use("luxon");return c||window.luxon}function s(c){t=c,e=c.fn.dataTable}var i=function(){function c(l,h,_,F,O,f,U){F===void 0&&(F=0),O===void 0&&(O=1),f===void 0&&(f=void 0),U===void 0&&(U=!1);var X=this;this.classes=t.extend(!0,{},c.classes),this.c=t.extend(!0,{},c.defaults,t.fn.dataTable.ext.searchBuilder,h);var Q=this.c.i18n;if(this.s={condition:void 0,conditions:{},data:void 0,dataIdx:-1,dataPoints:[],dateFormat:!1,depth:O,dt:l,filled:!1,index:F,liveSearch:U,origData:void 0,preventRedraw:!1,serverData:f,topGroup:_,type:"",value:[]},this.dom={buttons:t("<div/>").addClass(this.classes.buttonContainer),condition:t("<select disabled/>").addClass(this.classes.condition).addClass(this.classes.dropDown).addClass(this.classes.italic).attr("autocomplete","hacking"),conditionTitle:t('<option value="" disabled selected hidden/>').html(this.s.dt.i18n("searchBuilder.condition",Q.condition)),container:t("<div/>").addClass(this.classes.container),data:t("<select/>").addClass(this.classes.data).addClass(this.classes.dropDown).addClass(this.classes.italic),dataTitle:t('<option value="" disabled selected hidden/>').html(this.s.dt.i18n("searchBuilder.data",Q.data)),defaultValue:t("<select disabled/>").addClass(this.classes.value).addClass(this.classes.dropDown).addClass(this.classes.select).addClass(this.classes.italic),delete:t("<button/>").html(this.s.dt.i18n("searchBuilder.delete",Q.delete)).addClass(this.classes.delete).addClass(this.classes.button).attr("title",this.s.dt.i18n("searchBuilder.deleteTitle",Q.deleteTitle)).attr("type","button"),inputCont:t("<div/>").addClass(this.classes.inputCont),left:t("<button/>").html(this.s.dt.i18n("searchBuilder.left",Q.left)).addClass(this.classes.left).addClass(this.classes.button).attr("title",this.s.dt.i18n("searchBuilder.leftTitle",Q.leftTitle)).attr("type","button"),right:t("<button/>").html(this.s.dt.i18n("searchBuilder.right",Q.right)).addClass(this.classes.right).addClass(this.classes.button).attr("title",this.s.dt.i18n("searchBuilder.rightTitle",Q.rightTitle)).attr("type","button"),value:[t("<select disabled/>").addClass(this.classes.value).addClass(this.classes.dropDown).addClass(this.classes.italic).addClass(this.classes.select)],valueTitle:t('<option value="--valueTitle--" disabled selected hidden/>').html(this.s.dt.i18n("searchBuilder.value",Q.value))},this.c.greyscale){this.dom.data.addClass(this.classes.greyscale),this.dom.condition.addClass(this.classes.greyscale),this.dom.defaultValue.addClass(this.classes.greyscale);for(var E=0,$=this.dom.value;E<$.length;E++){var w=$[E];w.addClass(this.classes.greyscale)}}return t(window).on("resize.dtsb",e.util.throttle(function(){X.s.topGroup.trigger("dtsb-redrawLogic")})),this._buildCriteria(),this}return c._escapeHTML=function(l){return l.toString().replace(/&lt;/g,"<").replace(/&gt;/g,">").replace(/&quot;/g,'"').replace(/&amp;/g,"&")},c.prototype.doSearch=function(){this.c.liveSearch&&this.s.dt.draw()},c.parseNumFmt=function(l){return+l.replace(/(?!^-)[^0-9.]/g,"")},c.prototype.updateArrows=function(l){l===void 0&&(l=!1),this.dom.container.children().detach(),this.dom.container.append(this.dom.data).append(this.dom.condition).append(this.dom.inputCont),this.setListeners(),this.dom.value[0]!==void 0&&t(this.dom.value[0]).trigger("dtsb-inserted");for(var h=1;h<this.dom.value.length;h++)this.dom.inputCont.append(this.dom.value[h]),t(this.dom.value[h]).trigger("dtsb-inserted");this.s.depth>1&&this.dom.buttons.append(this.dom.left),(this.c.depthLimit===!1||this.s.depth<this.c.depthLimit)&&l?this.dom.buttons.append(this.dom.right):this.dom.right.remove(),this.dom.buttons.append(this.dom.delete),this.dom.container.append(this.dom.buttons)},c.prototype.destroy=function(){this.dom.data.off(".dtsb"),this.dom.condition.off(".dtsb"),this.dom.delete.off(".dtsb");for(var l=0,h=this.dom.value;l<h.length;l++){var _=h[l];_.off(".dtsb")}this.dom.container.remove()},c.prototype.search=function(l,h){var _=this.s.dt.settings()[0],F=this.s.conditions[this.s.condition];if(this.s.condition!==void 0&&F!==void 0){var O=l[this.s.dataIdx];if(this.s.type&&this.s.type.includes("num")&&(_.oLanguage.sDecimal!==""||_.oLanguage.sThousands!=="")){var f=[l[this.s.dataIdx]];if(_.oLanguage.sDecimal!==""&&(f=l[this.s.dataIdx].split(_.oLanguage.sDecimal)),_.oLanguage.sThousands!=="")for(var U=0;U<f.length;U++)f[U]=f[U].replace(_.oLanguage.sThousands,",");O=f.join(".")}if(this.c.orthogonal.search!=="filter"&&(O=_.fastData(h,this.s.dataIdx,typeof this.c.orthogonal=="string"?this.c.orthogonal:this.c.orthogonal.search)),this.s.type==="array"){Array.isArray(O)||(O=[O]),O.sort();for(var X=0,Q=O;X<Q.length;X++){var E=Q[X];E&&typeof E=="string"&&(E=E.replace(/[\r\n\u2028]/g," "))}}else O!==null&&typeof O=="string"&&(O=O.replace(/[\r\n\u2028]/g," "));return this.s.type.includes("html")&&typeof O=="string"&&(O=O.replace(/(<([^>]+)>)/ig,"")),O===null&&(O=""),F.search(O,this.s.value,this)}},c.prototype.getDetails=function(l){l===void 0&&(l=!1);var h,_=this.s.dt.settings()[0];if(this.s.type!==null&&this.s.type.includes("num")&&(_.oLanguage.sDecimal!==""||_.oLanguage.sThousands!==""))for(h=0;h<this.s.value.length;h++){var F=[this.s.value[h].toString()];if(_.oLanguage.sDecimal!==""&&(F=this.s.value[h].split(_.oLanguage.sDecimal)),_.oLanguage.sThousands!=="")for(var O=0;O<F.length;O++)F[O]=F[O].replace(_.oLanguage.sThousands,",");this.s.value[h]=F.join(".")}else if(this.s.type!==null&&l){if(this.s.type.includes("date")||this.s.type.includes("time"))for(h=0;h<this.s.value.length;h++)this.s.value[h].match(/^\d{4}-([0]\d|1[0-2])-([0-2]\d|3[01])$/g)===null&&(this.s.value[h]="");else if(this.s.type.includes("moment"))for(h=0;h<this.s.value.length;h++)this.s.value[h]&&this.s.value[h].length>0&&n()(this.s.value[h],this.s.dateFormat,!0).isValid()&&(this.s.value[h]=n()(this.s.value[h],this.s.dateFormat).format("YYYY-MM-DD HH:mm:ss"));else if(this.s.type.includes("luxon"))for(h=0;h<this.s.value.length;h++)this.s.value[h]&&this.s.value[h].length>0&&r().DateTime.fromFormat(this.s.value[h],this.s.dateFormat).invalid===null&&(this.s.value[h]=r().DateTime.fromFormat(this.s.value[h],this.s.dateFormat).toFormat("yyyy-MM-dd HH:mm:ss"))}if(this.s.type&&this.s.type.includes("num")&&this.s.dt.page.info().serverSide)for(h=0;h<this.s.value.length;h++)this.s.value[h]=this.s.value[h].replace(/[^0-9.\-]/g,"");return{condition:this.s.condition,data:this.s.data,origData:this.s.origData,type:this.s.type,value:this.s.value.map(function(f){return f!=null?f.toString():f})}},c.prototype.getNode=function(){return this.dom.container},c.prototype.parseNumber=function(l){var h=this.s.dt.i18n("decimal");return h&&h!=="."&&(l=l.replace(/\./g,"").replace(h,".")),+l.replace(/(?!^-)[^0-9.]/g,"")},c.prototype.populate=function(){this._populateData(),this.s.dataIdx!==-1&&(this._populateCondition(),this.s.condition!==void 0&&this._populateValue())},c.prototype.rebuild=function(l){var h=!1,_,F;if(this._populateData(),l.data!==void 0){var O=this.classes.italic,f=this.dom.data;this.dom.data.children("option").each(function(){!h&&(t(this).text()===l.data||l.origData&&t(this).prop("origData")===l.origData)?(t(this).prop("selected",!0),f.removeClass(O),h=!0,_=parseInt(t(this).val(),10)):t(this).removeProp("selected")})}if(h){this.s.data=l.data,this.s.origData=l.origData,this.s.dataIdx=_,this.c.orthogonal=this._getOptions().orthogonal,this.dom.dataTitle.remove(),this._populateCondition(),this.dom.conditionTitle.remove();var U=void 0,X=this.dom.condition.children("option");for(F=0;F<X.length;F++){var Q=t(X[F]);l.condition!==void 0&&Q.val()===l.condition&&typeof l.condition=="string"?(Q.prop("selected",!0),U=Q.val()):Q.removeProp("selected")}if(this.s.condition=U,this.s.condition!==void 0){for(this.dom.conditionTitle.removeProp("selected"),this.dom.conditionTitle.remove(),this.dom.condition.removeClass(this.classes.italic),F=0;F<X.length;F++){var E=t(X[F]);E.val()!==this.s.condition&&E.removeProp("selected")}this._populateValue(l)}else this.dom.conditionTitle.prependTo(this.dom.condition).prop("selected",!0)}},c.prototype.setListeners=function(){var l=this;this.dom.data.unbind("change").on("change.dtsb",function(){l.dom.dataTitle.removeProp("selected");for(var h=l.dom.data.children("option."+l.classes.option),_=0;_<h.length;_++){var F=t(h[_]);F.val()===l.dom.data.val()?(l.dom.data.removeClass(l.classes.italic),F.prop("selected",!0),l.s.dataIdx=+F.val(),l.s.data=F.text(),l.s.origData=F.prop("origData"),l.c.orthogonal=l._getOptions().orthogonal,l._clearCondition(),l._clearValue(),l._populateCondition(),l.s.filled&&(l.s.filled=!1,l.doSearch(),l.setListeners()),l.s.dt.state.save()):F.removeProp("selected")}}),this.dom.condition.unbind("change").on("change.dtsb",function(){l.dom.conditionTitle.removeProp("selected");for(var h=l.dom.condition.children("option."+l.classes.option),_=0;_<h.length;_++){var F=t(h[_]);if(F.val()===l.dom.condition.val()){l.dom.condition.removeClass(l.classes.italic),F.prop("selected",!0);for(var O=F.val(),f=0,U=Object.keys(l.s.conditions);f<U.length;f++){var X=U[f];if(X===O){l.s.condition=O;break}}l._clearValue(),l._populateValue();for(var Q=0,E=l.dom.value;Q<E.length;Q++){var $=E[Q];l.s.filled&&$!==void 0&&l.dom.inputCont.has($[0]).length!==0&&(l.s.filled=!1,l.doSearch(),l.setListeners())}(l.dom.value.length===0||l.dom.value.length===1&&l.dom.value[0]===void 0)&&l.doSearch()}else F.removeProp("selected")}})},c.prototype.setupButtons=function(){if(window.innerWidth>550){this.dom.container.removeClass(this.classes.vertical),this.dom.buttons.css("left",null),this.dom.buttons.css("top",null);return}this.dom.container.addClass(this.classes.vertical),this.dom.buttons.css("left",this.dom.data.innerWidth()),this.dom.buttons.css("top",this.dom.data.position().top)},c.prototype._buildCriteria=function(){this.dom.data.append(this.dom.dataTitle),this.dom.condition.append(this.dom.conditionTitle),this.dom.container.append(this.dom.data).append(this.dom.condition),this.dom.inputCont.empty();for(var l=0,h=this.dom.value;l<h.length;l++){var _=h[l];_.append(this.dom.valueTitle),this.dom.inputCont.append(_)}this.dom.buttons.append(this.dom.delete).append(this.dom.right),this.dom.container.append(this.dom.inputCont).append(this.dom.buttons),this.setListeners()},c.prototype._clearCondition=function(){this.dom.condition.empty(),this.dom.conditionTitle.prop("selected",!0).attr("disabled","true"),this.dom.condition.prepend(this.dom.conditionTitle).prop("selectedIndex",0),this.s.conditions={},this.s.condition=void 0},c.prototype._clearValue=function(){var l;if(this.s.condition!==void 0){if(this.dom.value.length>0&&this.dom.value[0]!==void 0)for(var h=0,_=this.dom.value;h<_.length;h++)l=_[h],l!==void 0&&setTimeout(function(){l.remove()},50);if(this.dom.value=[].concat(this.s.conditions[this.s.condition].init(this,c.updateListener)),this.dom.value.length>0&&this.dom.value[0]!==void 0){this.dom.inputCont.empty().append(this.dom.value[0]).insertAfter(this.dom.condition),t(this.dom.value[0]).trigger("dtsb-inserted");for(var F=1;F<this.dom.value.length;F++)this.dom.inputCont.append(this.dom.value[F]),t(this.dom.value[F]).trigger("dtsb-inserted")}}else{for(var O=0,f=this.dom.value;O<f.length;O++)l=f[O],l!==void 0&&setTimeout(function(){l.remove()},50);this.dom.valueTitle.prop("selected",!0),this.dom.defaultValue.append(this.dom.valueTitle).insertAfter(this.dom.condition)}this.s.value=[],this.dom.value=[t("<select disabled/>").addClass(this.classes.value).addClass(this.classes.dropDown).addClass(this.classes.italic).addClass(this.classes.select).append(this.dom.valueTitle.clone())]},c.prototype._getOptions=function(){var l=this.s.dt;return t.extend(!0,{},c.defaults,l.settings()[0].aoColumns[this.s.dataIdx].searchBuilder)},c.prototype._populateCondition=function(){var l=[],h=Object.keys(this.s.conditions).length,_=this.s.dt,F=_.settings()[0].aoColumns,O=+this.dom.data.children("option:selected").val(),f,U;if(h===0){if(this.s.type=_.column(O).type(),F!==void 0){var X=F[O];X.searchBuilderType!==void 0&&X.searchBuilderType!==null?this.s.type=X.searchBuilderType:(this.s.type===void 0||this.s.type===null)&&(this.s.type=X.sType)}(this.s.type===null||this.s.type===void 0)&&(t.fn.dataTable.ext.oApi&&t.fn.dataTable.ext.oApi._fnColumnTypes(_.settings()[0]),this.s.type=_.column(O).type()),this.dom.condition.removeAttr("disabled").empty().append(this.dom.conditionTitle).addClass(this.classes.italic),this.dom.conditionTitle.prop("selected",!0);var Q=_.settings()[0].oLanguage.sDecimal;Q!==""&&this.s.type&&this.s.type.indexOf(Q)===this.s.type.length-Q.length&&(this.s.type.includes("num-fmt")?this.s.type=this.s.type.replace(Q,""):this.s.type.includes("num")&&(this.s.type=this.s.type.replace(Q,"")));var E=void 0;this.c.conditions[this.s.type]!==void 0?E=this.c.conditions[this.s.type]:this.s.type&&this.s.type.includes("datetime-")?(E=at.use("moment")?this.c.conditions.moment:this.c.conditions.luxon,this.s.dateFormat=this.s.type.replace(/datetime-/g,"")):this.s.type&&this.s.type.includes("moment")?(E=this.c.conditions.moment,this.s.dateFormat=this.s.type.replace(/moment-/g,"")):this.s.type&&this.s.type.includes("luxon")?(E=this.c.conditions.luxon,this.s.dateFormat=this.s.type.replace(/luxon-/g,"")):E=this.c.conditions.string;for(var $=0,w=Object.keys(E);$<w.length;$++)if(f=w[$],E[f]!==null){if(_.page.info().serverSide&&E[f].init===c.initSelect){var k=F[O];this.s.serverData&&this.s.serverData[k.data]?(E[f].init=c.initSelectSSP,E[f].inputValue=c.inputValueSelect,E[f].isInputValid=c.isInputValidSelect):(E[f].init=c.initInput,E[f].inputValue=c.inputValueInput,E[f].isInputValid=c.isInputValidInput)}this.s.conditions[f]=E[f],U=E[f].conditionName,typeof U=="function"&&(U=U(_,this.c.i18n)),l.push(t("<option>",{text:U,value:f}).addClass(this.classes.option).addClass(this.classes.notItalic))}}else if(h>0){this.dom.condition.empty().removeAttr("disabled").addClass(this.classes.italic);for(var S=0,B=Object.keys(this.s.conditions);S<B.length;S++){f=B[S];var L=this.s.conditions[f].conditionName;typeof L=="function"&&(L=L(_,this.c.i18n));var R=t("<option>",{text:L,value:f}).addClass(this.classes.option).addClass(this.classes.notItalic);this.s.condition!==void 0&&this.s.condition===L&&(R.prop("selected",!0),this.dom.condition.removeClass(this.classes.italic)),l.push(R)}}else{this.dom.condition.attr("disabled","true").addClass(this.classes.italic);return}for(var q=0,z=l;q<z.length;q++){var G=z[q];this.dom.condition.append(G)}if(F[O].searchBuilder&&F[O].searchBuilder.defaultCondition){var nt=F[O].searchBuilder.defaultCondition;if(typeof nt=="number")this.dom.condition.prop("selectedIndex",nt),this.dom.condition.trigger("change");else if(typeof nt=="string")for(var tt=0;tt<l.length;tt++)for(var et=0,wt=Object.keys(this.s.conditions);et<wt.length;et++){var St=wt[et];if(U=this.s.conditions[St].conditionName,(typeof U=="string"?U:U(_,this.c.i18n))===l[tt].text()&&St===nt){this.dom.condition.prop("selectedIndex",this.dom.condition.children().toArray().indexOf(l[tt][0])).removeClass(this.classes.italic),this.dom.condition.trigger("change"),tt=l.length;break}}}else this.dom.condition.prop("selectedIndex",0)},c.prototype._populateData=function(){var l=this.s.dt.settings()[0].aoColumns,h=this.s.dt.columns(this.c.columns).indexes().toArray();this.dom.data.empty().append(this.dom.dataTitle);for(var _=0;_<l.length;_++)if(this.c.columns===!0||h.includes(_)){var F=l[_],O={index:_,origData:F.data,text:(F.searchBuilderTitle||F.sTitle).replace(/(<([^>]+)>)/ig,"")};this.dom.data.append(t("<option>",{text:O.text,value:O.index}).addClass(this.classes.option).addClass(this.classes.notItalic).prop("origData",F.data).prop("selected",this.s.dataIdx===O.index)),this.s.dataIdx===O.index&&this.dom.dataTitle.removeProp("selected")}},c.prototype._populateValue=function(l){var h=this,_=this.s.filled,F;this.s.filled=!1,setTimeout(function(){h.dom.defaultValue.remove()},50);for(var O=function(E){setTimeout(function(){E!==void 0&&E.remove()},50)},f=0,U=this.dom.value;f<U.length;f++){var X=U[f];O(X)}var Q=this.dom.inputCont.children();if(Q.length>1)for(F=0;F<Q.length;F++)t(Q[F]).remove();for(l!==void 0&&this.s.dt.columns().every(function(E){h.s.dt.settings()[0].aoColumns[E].sTitle===l.data&&(h.s.dataIdx=E)}),this.dom.value=[].concat(this.s.conditions[this.s.condition].init(this,c.updateListener,l!==void 0?l.value:void 0)),l!==void 0&&l.value!==void 0&&(this.s.value=l.value),this.dom.inputCont.empty(),this.dom.value[0]!==void 0&&t(this.dom.value[0]).appendTo(this.dom.inputCont).trigger("dtsb-inserted"),F=1;F<this.dom.value.length;F++)t(this.dom.value[F]).insertAfter(this.dom.value[F-1]).trigger("dtsb-inserted");this.s.filled=this.s.conditions[this.s.condition].isInputValid(this.dom.value,this),this.setListeners(),!this.s.preventRedraw&&_!==this.s.filled&&(this.s.dt.page.info().serverSide||this.doSearch(),this.setListeners())},c.prototype._throttle=function(l,h){h===void 0&&(h=200);var _=null,F=null,O=this;return h===null&&(h=200),function(){for(var f=[],U=0;U<arguments.length;U++)f[U]=arguments[U];var X=+new 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X=t("<select/>").addClass(c.classes.value).addClass(c.classes.dropDown).addClass(c.classes.italic).addClass(c.classes.select).append(l.dom.valueTitle).on("change.dtsb",function(){t(this).removeClass(c.classes.italic),h(l,this)});l.c.greyscale&&X.addClass(c.classes.greyscale);for(var Q=[],E=[],$=0,w=f;$<w.length;$++){var k=w[$],S=U(k,O,typeof l.c.orthogonal=="string"?l.c.orthogonal:l.c.orthogonal.search),B={filter:typeof S=="string"?S.replace(/[\r\n\u2028]/g," "):S,index:k,text:U(k,O,typeof l.c.orthogonal=="string"?l.c.orthogonal:l.c.orthogonal.display)};l.s.type==="array"&&(B.filter=Array.isArray(B.filter)?B.filter:[B.filter],B.text=Array.isArray(B.text)?B.text:[B.text]);var L=function(nt,tt){l.s.type.includes("html")&&nt!==null&&typeof nt=="string"&&nt.replace(/(<([^>]+)>)/ig,"");var et=t("<option>",{type:Array.isArray(nt)?"Array":"String",value:nt}).data("sbv",nt).addClass(l.classes.option).addClass(l.classes.notItalic).html(typeof 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l.s.dt.one("draw.dtsb",function(){l.s.topGroup.trigger("dtsb-redrawLogic")}),[]},c.init2Date=function(l,h,_){var F=this;_===void 0&&(_=null);var O=l.s.dt.settings()[0].searchDelay,f=l.s.dt.i18n("datetime",{}),U=[t("<input/>").addClass(c.classes.value).addClass(c.classes.input).dtDateTime({attachTo:"input",format:l.s.dateFormat?l.s.dateFormat:void 0,i18n:f}).on("change.dtsb",O!==null?at.util.throttle(function(){return h(l,this)},O):function(){h(l,F)}).on("input.dtsb keypress.dtsb",function(X){at.util.throttle(function(){var Q=X.keyCode||X.which;return h(l,this,Q)},O===null?0:O)}),t("<span>").addClass(l.classes.joiner).html(l.s.dt.i18n("searchBuilder.valueJoiner",l.c.i18n.valueJoiner)),t("<input/>").addClass(c.classes.value).addClass(c.classes.input).dtDateTime({attachTo:"input",format:l.s.dateFormat?l.s.dateFormat:void 0,i18n:f}).on("change.dtsb",O!==null?at.util.throttle(function(){return h(l,this)},O):function(){h(l,F)}).on("input.dtsb 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O=F[_];O.is("select")&&h.push(c._escapeHTML(O.children("option:selected").data("sbv")))}return h},c.inputValueInput=function(l){for(var h=[],_=0,F=l;_<F.length;_++){var O=F[_];O.is("input")&&h.push(c._escapeHTML(O.val()))}return h},c.updateListener=function(l,h,_){var F=l.s.conditions[l.s.condition],O;if(l.s.filled=F.isInputValid(l.dom.value,l),l.s.value=F.inputValue(l.dom.value,l),!l.s.filled){(!l.c.enterSearch&&!(l.s.dt.settings()[0].oInit.search!==void 0&&l.s.dt.settings()[0].oInit.search.return)||_===13)&&l.doSearch();return}for(Array.isArray(l.s.value)||(l.s.value=[l.s.value]),O=0;O<l.s.value.length;O++)Array.isArray(l.s.value[O])&&l.s.value[O].sort();var f=null,U=null;for(O=0;O<l.dom.value.length;O++)h===l.dom.value[O][0]&&(f=O,h.selectionStart!==void 0&&(U=h.selectionStart));(!l.c.enterSearch&&!(l.s.dt.settings()[0].oInit.search!==void 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l.i18n("searchBuilder.conditions.number.gt",h.conditions.number.gt)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return+l>+h[0]}},between:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.between",h.conditions.number.between)},init:c.init2Input,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return+h[0]<+h[1]?+h[0]<=+l&&+l<=+h[1]:+h[1]<=+l&&+l<=+h[0]}},"!between":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.notBetween",h.conditions.number.notBetween)},init:c.init2Input,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return+h[0]<+h[1]?!(+h[0]<=+l&&+l<=+h[1]):!(+h[1]<=+l&&+l<=+h[0])}},null:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.empty",h.conditions.number.empty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return 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l.i18n("searchBuilder.conditions.number.lt",h.conditions.number.lt)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h,_){return _.parseNumber(l)<_.parseNumber(h[0])}},"<=":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.lte",h.conditions.number.lte)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h,_){return _.parseNumber(l)<=_.parseNumber(h[0])}},">=":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.gte",h.conditions.number.gte)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h,_){return _.parseNumber(l)>=_.parseNumber(h[0])}},">":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.gt",h.conditions.number.gt)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h,_){return _.parseNumber(l)>_.parseNumber(h[0])}},between:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.between",h.conditions.number.between)},init:c.init2Input,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h,_){var F=_.parseNumber(l),O=_.parseNumber(h[0]),f=_.parseNumber(h[1]);return+O<+f?+O<=+F&&+F<=+f:+f<=+F&&+F<=+O}},"!between":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.notBetween",h.conditions.number.notBetween)},init:c.init2Input,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h,_){var F=_.parseNumber(l),O=_.parseNumber(h[0]),f=_.parseNumber(h[1]);return+O<+f?!(+O<=+F&&+F<=+f):!(+f<=+F&&+F<=+O)}},null:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.empty",h.conditions.number.empty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return l==null||l.length===0}},"!null":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.number.notEmpty",h.conditions.number.notEmpty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return!(l==null||l.length===0)}}},c.stringConditions={"=":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.equals",h.conditions.string.equals)},init:c.initSelect,inputValue:c.inputValueSelect,isInputValid:c.isInputValidSelect,search:function(l,h){return l===h[0]}},"!=":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.not",h.conditions.string.not)},init:c.initSelect,inputValue:c.inputValueSelect,isInputValid:c.isInputValidInput,search:function(l,h){return l!==h[0]}},starts:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.startsWith",h.conditions.string.startsWith)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return l.toLowerCase().indexOf(h[0].toLowerCase())===0}},"!starts":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.notStartsWith",h.conditions.string.notStartsWith)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return l.toLowerCase().indexOf(h[0].toLowerCase())!==0}},contains:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.contains",h.conditions.string.contains)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return l.toLowerCase().includes(h[0].toLowerCase())}},"!contains":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.notContains",h.conditions.string.notContains)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return!l.toLowerCase().includes(h[0].toLowerCase())}},ends:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.endsWith",h.conditions.string.endsWith)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return l.toLowerCase().endsWith(h[0].toLowerCase())}},"!ends":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.notEndsWith",h.conditions.string.notEndsWith)},init:c.initInput,inputValue:c.inputValueInput,isInputValid:c.isInputValidInput,search:function(l,h){return!l.toLowerCase().endsWith(h[0].toLowerCase())}},null:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.empty",h.conditions.string.empty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return l==null||l.length===0}},"!null":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.string.notEmpty",h.conditions.string.notEmpty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return!(l==null||l.length===0)}}},c.arrayConditions={contains:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.contains",h.conditions.array.contains)},init:c.initSelectArray,inputValue:c.inputValueSelect,isInputValid:c.isInputValidSelect,search:function(l,h){return l.includes(h[0])}},without:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.without",h.conditions.array.without)},init:c.initSelectArray,inputValue:c.inputValueSelect,isInputValid:c.isInputValidSelect,search:function(l,h){return l.indexOf(h[0])===-1}},"=":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.equals",h.conditions.array.equals)},init:c.initSelect,inputValue:c.inputValueSelect,isInputValid:c.isInputValidSelect,search:function(l,h){if(l.length===h[0].length){for(var _=0;_<l.length;_++)if(l[_]!==h[0][_])return!1;return!0}return!1}},"!=":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.not",h.conditions.array.not)},init:c.initSelect,inputValue:c.inputValueSelect,isInputValid:c.isInputValidSelect,search:function(l,h){if(l.length===h[0].length){for(var _=0;_<l.length;_++)if(l[_]!==h[0][_])return!0;return!1}return!0}},null:{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.empty",h.conditions.array.empty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return l==null||l.length===0}},"!null":{conditionName:function(l,h){return l.i18n("searchBuilder.conditions.array.notEmpty",h.conditions.array.notEmpty)},init:c.initNoValue,inputValue:function(){},isInputValid:function(){return!0},search:function(l){return l!=null&&l.length!==0}}},c.defaults={columns:!0,conditions:{array:c.arrayConditions,date:c.dateConditions,html:c.stringConditions,"html-num":c.numConditions,"html-num-fmt":c.numFmtConditions,luxon:c.luxonDateConditions,moment:c.momentDateConditions,num:c.numConditions,"num-fmt":c.numFmtConditions,string:c.stringConditions},depthLimit:!1,enterSearch:!1,filterChanged:void 0,greyscale:!1,i18n:{add:"Add Condition",button:{0:"Search Builder",_:"Search Builder (%d)"},clearAll:"Clear All",condition:"Condition",data:"Data",delete:"&times",deleteTitle:"Delete filtering rule",left:"<",leftTitle:"Outdent criteria",logicAnd:"And",logicOr:"Or",right:">",rightTitle:"Indent criteria",search:"Search",title:{0:"Custom Search Builder",_:"Custom Search Builder (%d)"},value:"Value",valueJoiner:"and"},liveSearch:!0,logic:"AND",orthogonal:{display:"display",search:"filter"},preDefined:!1},c}(),o;function u(c){o=c,c.fn.dataTable}var p=function(){function c(l,h,_,F,O,f,U){return F===void 0&&(F=0),O===void 0&&(O=!1),f===void 0&&(f=1),U===void 0&&(U=void 0),this.classes=o.extend(!0,{},c.classes),this.c=o.extend(!0,{},c.defaults,h),this.s={criteria:[],depth:f,dt:l,index:F,isChild:O,logic:void 0,opts:h,preventRedraw:!1,serverData:U,toDrop:void 0,topGroup:_},this.dom={add:o("<button/>").addClass(this.classes.add).addClass(this.classes.button).attr("type","button"),clear:o("<button>&times</button>").addClass(this.classes.button).addClass(this.classes.clearGroup).attr("type","button"),container:o("<div/>").addClass(this.classes.group),logic:o("<button><div/></button>").addClass(this.classes.logic).addClass(this.classes.button).attr("type","button"),logicContainer:o("<div/>").addClass(this.classes.logicContainer),search:o("<button/>").addClass(this.classes.search).addClass(this.classes.button).attr("type","button").css("display","none")},this.s.topGroup===void 0&&(this.s.topGroup=this.dom.container),this._setup(),this}return c.prototype.destroy=function(){this.dom.add.off(".dtsb"),this.dom.logic.off(".dtsb"),this.dom.search.off(".dtsb"),this.dom.container.trigger("dtsb-destroy").remove(),this.s.criteria=[]},c.prototype.getDetails=function(l){if(l===void 0&&(l=!1),this.s.criteria.length===0)return{};for(var h={criteria:[],logic:this.s.logic},_=0,F=this.s.criteria;_<F.length;_++){var O=F[_];h.criteria.push(O.criteria.getDetails(l))}return h},c.prototype.getNode=function(){return this.dom.container},c.prototype.rebuild=function(l){var h;if(!(l.criteria===void 0||l.criteria===null||Array.isArray(l.criteria)&&l.criteria.length===0)){if(this.s.logic=l.logic,this.dom.logic.children().first().html(this.s.logic==="OR"?this.s.dt.i18n("searchBuilder.logicOr",this.c.i18n.logicOr):this.s.dt.i18n("searchBuilder.logicAnd",this.c.i18n.logicAnd)),Array.isArray(l.criteria))for(var _=0,F=l.criteria;_<F.length;_++)h=F[_],h.logic!==void 0?this._addPrevGroup(h):h.logic===void 0&&this._addPrevCriteria(h);for(var O=0,f=this.s.criteria;O<f.length;O++)h=f[O],h.criteria instanceof i&&(h.criteria.updateArrows(this.s.criteria.length>1),this._setCriteriaListeners(h.criteria))}},c.prototype.redrawContents=function(){if(!this.s.preventRedraw){this.dom.container.children().detach(),this.dom.container.append(this.dom.logicContainer).append(this.dom.add),this.c.liveSearch||this.dom.container.append(this.dom.search),this.s.criteria.sort(function(_,F){return _.criteria.s.index<F.criteria.s.index?-1:_.criteria.s.index>F.criteria.s.index?1:0}),this.setListeners();for(var l=0;l<this.s.criteria.length;l++){var h=this.s.criteria[l].criteria;h instanceof i?(this.s.criteria[l].index=l,this.s.criteria[l].criteria.s.index=l,this.s.criteria[l].criteria.dom.container.insertBefore(this.dom.add),this._setCriteriaListeners(h),this.s.criteria[l].criteria.s.preventRedraw=this.s.preventRedraw,this.s.criteria[l].criteria.rebuild(this.s.criteria[l].criteria.getDetails()),this.s.criteria[l].criteria.s.preventRedraw=!1):h instanceof c&&h.s.criteria.length>0?(this.s.criteria[l].index=l,this.s.criteria[l].criteria.s.index=l,this.s.criteria[l].criteria.dom.container.insertBefore(this.dom.add),h.s.preventRedraw=this.s.preventRedraw,h.redrawContents(),h.s.preventRedraw=!1,this._setGroupListeners(h)):(this.s.criteria.splice(l,1),l--)}this.setupLogic()}},c.prototype.redrawLogic=function(){for(var l=0,h=this.s.criteria;l<h.length;l++){var _=h[l];_.criteria instanceof c&&_.criteria.redrawLogic()}this.setupLogic()},c.prototype.search=function(l,h){return this.s.logic==="AND"?this._andSearch(l,h):this.s.logic==="OR"?this._orSearch(l,h):!0},c.prototype.setupLogic=function(){if(this.dom.logicContainer.remove(),this.dom.clear.remove(),this.s.criteria.length<1){this.s.isChild||(this.dom.container.trigger("dtsb-destroy"),this.dom.container.css("margin-left",0)),this.dom.search.css("display","none");return}this.dom.clear.height("0px"),this.dom.logicContainer.append(this.dom.clear),this.s.isChild||this.dom.search.css("display","inline-block"),this.dom.container.prepend(this.dom.logicContainer);for(var l=0,h=this.s.criteria;l<h.length;l++){var _=h[l];_.criteria instanceof i&&_.criteria.setupButtons()}var F=this.dom.container.outerHeight()-1;this.dom.logicContainer.width(F),this._setLogicListener(),this.dom.container.css("margin-left",this.dom.logicContainer.outerHeight(!0));var O=this.dom.logicContainer.offset(),f=O.left,U=this.dom.container.offset().left,X=f-U,Q=f-X-this.dom.logicContainer.outerHeight(!0);this.dom.logicContainer.offset({left:Q});var E=this.dom.logicContainer.next(),$=O.top,w=o(E).offset().top,k=$-w,S=$-k;this.dom.logicContainer.offset({top:S}),this.dom.clear.outerHeight(this.dom.logicContainer.height()),this._setClearListener()},c.prototype.setListeners=function(){var l=this;this.dom.add.unbind("click"),this.dom.add.on("click.dtsb",function(){return l.s.isChild||l.dom.container.prepend(l.dom.logicContainer),l.addCriteria(),l.dom.container.trigger("dtsb-add"),l.s.dt.state.save(),!1}),this.dom.search.off("click.dtsb").on("click.dtsb",function(){l.s.dt.draw()});for(var h=0,_=this.s.criteria;h<_.length;h++){var F=_[h];F.criteria.setListeners()}this._setClearListener(),this._setLogicListener()},c.prototype.addCriteria=function(l){l===void 0&&(l=null);var h=l===null?this.s.criteria.length:l.s.index,_=new i(this.s.dt,this.s.opts,this.s.topGroup,h,this.s.depth,this.s.serverData,this.c.liveSearch);l!==null&&(_.c=l.c,_.s=l.s,_.s.depth=this.s.depth,_.classes=l.classes),_.populate();for(var F=!1,O=0;O<this.s.criteria.length;O++)O===0&&this.s.criteria[O].criteria.s.index>_.s.index?(_.getNode().insertBefore(this.s.criteria[O].criteria.dom.container),F=!0):O<this.s.criteria.length-1&&this.s.criteria[O].criteria.s.index<_.s.index&&this.s.criteria[O+1].criteria.s.index>_.s.index&&(_.getNode().insertAfter(this.s.criteria[O].criteria.dom.container),F=!0);F||_.getNode().insertBefore(this.dom.add),this.s.criteria.push({criteria:_,index:h}),this.s.criteria=this.s.criteria.sort(function(Q,E){return Q.criteria.s.index-E.criteria.s.index});for(var f=0,U=this.s.criteria;f<U.length;f++){var X=U[f];X.criteria instanceof i&&X.criteria.updateArrows(this.s.criteria.length>1)}this._setCriteriaListeners(_),_.setListeners(),this.setupLogic()},c.prototype.checkFilled=function(){for(var l=0,h=this.s.criteria;l<h.length;l++){var _=h[l];if(_.criteria instanceof i&&_.criteria.s.filled||_.criteria instanceof c&&_.criteria.checkFilled())return!0}return!1},c.prototype.count=function(){for(var l=0,h=0,_=this.s.criteria;h<_.length;h++){var F=_[h];F.criteria instanceof c?l+=F.criteria.count():l++}return l},c.prototype._addPrevGroup=function(l){var h=this.s.criteria.length,_=new c(this.s.dt,this.c,this.s.topGroup,h,!0,this.s.depth+1,this.s.serverData);this.s.criteria.push({criteria:_,index:h,logic:_.s.logic}),_.rebuild(l),this.s.criteria[h].criteria=_,this.s.topGroup.trigger("dtsb-redrawContents"),this._setGroupListeners(_)},c.prototype._addPrevCriteria=function(l){var h=this.s.criteria.length,_=new i(this.s.dt,this.s.opts,this.s.topGroup,h,this.s.depth,this.s.serverData);_.populate(),this.s.criteria.push({criteria:_,index:h}),_.s.preventRedraw=this.s.preventRedraw,_.rebuild(l),_.s.preventRedraw=!1,this.s.criteria[h].criteria=_,this.s.preventRedraw||this.s.topGroup.trigger("dtsb-redrawContents")},c.prototype._andSearch=function(l,h){if(this.s.criteria.length===0)return!0;for(var _=0,F=this.s.criteria;_<F.length;_++){var O=F[_];if(!(O.criteria instanceof i&&!O.criteria.s.filled)&&!O.criteria.search(l,h))return!1}return!0},c.prototype._orSearch=function(l,h){if(this.s.criteria.length===0)return!0;for(var _=!1,F=0,O=this.s.criteria;F<O.length;F++){var f=O[F];if(f.criteria instanceof i&&f.criteria.s.filled){if(_=!0,f.criteria.search(l,h))return!0}else if(f.criteria instanceof c&&f.criteria.checkFilled()&&(_=!0,f.criteria.search(l,h)))return!0}return!_},c.prototype._removeCriteria=function(l,h){h===void 0&&(h=!1);var _;if(this.s.criteria.length<=1&&this.s.isChild)this.destroy();else{var F=void 0;for(_=0;_<this.s.criteria.length;_++)this.s.criteria[_].index===l.s.index&&(!h||this.s.criteria[_].criteria instanceof c)&&(F=_);for(F!==void 0&&this.s.criteria.splice(F,1),_=0;_<this.s.criteria.length;_++)this.s.criteria[_].index=_,this.s.criteria[_].criteria.s.index=_}},c.prototype._setCriteriaListeners=function(l){var h=this;l.dom.delete.unbind("click").on("click.dtsb",function(){h._removeCriteria(l),l.dom.container.remove();for(var _=0,F=h.s.criteria;_<F.length;_++){var O=F[_];O.criteria instanceof i&&O.criteria.updateArrows(h.s.criteria.length>1)}return l.destroy(),h.s.dt.draw(),h.s.topGroup.trigger("dtsb-redrawContents"),!1}),l.dom.right.unbind("click").on("click.dtsb",function(){var _=l.s.index,F=new c(h.s.dt,h.s.opts,h.s.topGroup,l.s.index,!0,h.s.depth+1,h.s.serverData);return F.addCriteria(l),h.s.criteria[_].criteria=F,h.s.criteria[_].logic="AND",h.s.topGroup.trigger("dtsb-redrawContents"),h._setGroupListeners(F),!1}),l.dom.left.unbind("click").on("click.dtsb",function(){h.s.toDrop=new i(h.s.dt,h.s.opts,h.s.topGroup,l.s.index,void 0,h.s.serverData),h.s.toDrop.s=l.s,h.s.toDrop.c=l.c,h.s.toDrop.classes=l.classes,h.s.toDrop.populate();var _=h.s.toDrop.s.index;return h.dom.container.trigger("dtsb-dropCriteria"),l.s.index=_,h._removeCriteria(l),h.s.topGroup.trigger("dtsb-redrawContents"),h.s.dt.draw(),!1})},c.prototype._setClearListener=function(){var l=this;this.dom.clear.unbind("click").on("click.dtsb",function(){return l.s.isChild?(l.destroy(),l.s.topGroup.trigger("dtsb-redrawContents"),!1):(l.dom.container.trigger("dtsb-clearContents"),!1)})},c.prototype._setGroupListeners=function(l){var h=this;l.dom.add.unbind("click").on("click.dtsb",function(){return h.setupLogic(),h.dom.container.trigger("dtsb-add"),!1}),l.dom.container.unbind("dtsb-add").on("dtsb-add.dtsb",function(){return h.setupLogic(),h.dom.container.trigger("dtsb-add"),!1}),l.dom.container.unbind("dtsb-destroy").on("dtsb-destroy.dtsb",function(){return h._removeCriteria(l,!0),l.dom.container.remove(),h.setupLogic(),!1}),l.dom.container.unbind("dtsb-dropCriteria").on("dtsb-dropCriteria.dtsb",function(){var _=l.s.toDrop;return _.s.index=l.s.index,_.updateArrows(h.s.criteria.length>1),h.addCriteria(_),!1}),l.setListeners()},c.prototype._setup=function(){this.setListeners(),this.dom.add.html(this.s.dt.i18n("searchBuilder.add",this.c.i18n.add)),this.dom.search.html(this.s.dt.i18n("searchBuilder.search",this.c.i18n.search)),this.dom.logic.children().first().html(this.c.logic==="OR"?this.s.dt.i18n("searchBuilder.logicOr",this.c.i18n.logicOr):this.s.dt.i18n("searchBuilder.logicAnd",this.c.i18n.logicAnd)),this.s.logic=this.c.logic==="OR"?"OR":"AND",this.c.greyscale&&this.dom.logic.addClass(this.classes.greyscale),this.dom.logicContainer.append(this.dom.logic).append(this.dom.clear),this.s.isChild&&this.dom.container.append(this.dom.logicContainer),this.dom.container.append(this.dom.add),this.c.liveSearch||this.dom.container.append(this.dom.search)},c.prototype._setLogicListener=function(){var l=this;this.dom.logic.unbind("click").on("click.dtsb",function(){l._toggleLogic(),l.s.dt.draw();for(var h=0,_=l.s.criteria;h<_.length;h++){var F=_[h];F.criteria.setListeners()}})},c.prototype._toggleLogic=function(){this.s.logic==="OR"?(this.s.logic="AND",this.dom.logic.children().first().html(this.s.dt.i18n("searchBuilder.logicAnd",this.c.i18n.logicAnd))):this.s.logic==="AND"&&(this.s.logic="OR",this.dom.logic.children().first().html(this.s.dt.i18n("searchBuilder.logicOr",this.c.i18n.logicOr)))},c.version="1.1.0",c.classes={add:"dtsb-add",button:"dtsb-button",clearGroup:"dtsb-clearGroup",greyscale:"dtsb-greyscale",group:"dtsb-group",inputButton:"dtsb-iptbtn",logic:"dtsb-logic",logicContainer:"dtsb-logicContainer",search:"dtsb-search"},c.defaults={columns:!0,conditions:{date:i.dateConditions,html:i.stringConditions,"html-num":i.numConditions,"html-num-fmt":i.numFmtConditions,luxon:i.luxonDateConditions,moment:i.momentDateConditions,num:i.numConditions,"num-fmt":i.numFmtConditions,string:i.stringConditions},depthLimit:!1,enterSearch:!1,filterChanged:void 0,greyscale:!1,liveSearch:!0,i18n:{add:"Add Condition",button:{0:"Search Builder",_:"Search Builder (%d)"},clearAll:"Clear All",condition:"Condition",data:"Data",delete:"&times",deleteTitle:"Delete filtering rule",left:"<",leftTitle:"Outdent criteria",logicAnd:"And",logicOr:"Or",right:">",rightTitle:"Indent criteria",search:"Search",title:{0:"Custom Search Builder",_:"Custom Search Builder (%d)"},value:"Value",valueJoiner:"and"},logic:"AND",orthogonal:{display:"display",search:"filter"},preDefined:!1},c}(),b,g;function m(c){b=c,g=c.fn.DataTable}var C=function(){function c(l,h){var _=this;if(!g||!g.versionCheck||!g.versionCheck("2"))throw new Error("SearchBuilder requires DataTables 2 or newer");var F=new g.Api(l);if(this.classes=b.extend(!0,{},c.classes),this.c=b.extend(!0,{},c.defaults,h),this.dom={clearAll:b('<button type="button">'+F.i18n("searchBuilder.clearAll",this.c.i18n.clearAll)+"</button>").addClass(this.classes.clearAll).addClass(this.classes.button).attr("type","button"),container:b("<div/>").addClass(this.classes.container),title:b("<div/>").addClass(this.classes.title),titleRow:b("<div/>").addClass(this.classes.titleRow),topGroup:void 0},this.s={dt:F,opts:h,search:void 0,serverData:void 0,topGroup:void 0},F.settings()[0]._searchBuilder===void 0)return F.settings()[0]._searchBuilder=this,this.s.dt.page.info().serverSide&&(this.s.dt.on("preXhr.dtsb",function(O,f,U){var X=_.s.dt.state.loaded();X&&X.searchBuilder&&(U.searchBuilder=_._collapseArray(X.searchBuilder))}),this.s.dt.on("xhr.dtsb",function(O,f,U){U&&U.searchBuilder&&U.searchBuilder.options&&(_.s.serverData=U.searchBuilder.options)})),this.s.dt.settings()[0]._bInitComplete?this._setUp():F.one("init.dt",function(){_._setUp()}),this}return c.prototype.getDetails=function(l){return l===void 0&&(l=!1),this.s.topGroup.getDetails(l)},c.prototype.getNode=function(){return this.dom.container},c.prototype.rebuild=function(l){return this.dom.clearAll.click(),l==null?this:(this.s.topGroup.s.preventRedraw=!0,this.s.topGroup.rebuild(l),this.s.topGroup.s.preventRedraw=!1,this._checkClear(),this._updateTitle(this.s.topGroup.count()),this.s.topGroup.redrawContents(),this.s.dt.draw(!1),this.s.topGroup.setListeners(),this)},c.prototype._applyPreDefDefaults=function(l){var h=this;l.criteria!==void 0&&l.logic===void 0&&(l.logic="AND");for(var _=function(X){X.criteria!==void 0?X=F._applyPreDefDefaults(X):F.s.dt.columns().every(function(Q){h.s.dt.settings()[0].aoColumns[Q].sTitle===X.data&&(X.dataIdx=Q)})},F=this,O=0,f=l.criteria;O<f.length;O++){var U=f[O];_(U)}return l},c.prototype._setUp=function(l){var h=this;if(l===void 0&&(l=!0),typeof this.s.dt.column().type!="function"&&at.Api.registerPlural("columns().types()","column().type()",function(){return this.iterator("column",function(w,k){return w.aoColumns[k].sType},1)}),!g.DateTime){var _=this.s.dt.columns().types().toArray();if(_===void 0||_.includes(void 0)||_.includes(null)){_=[];for(var F=0,O=this.s.dt.settings()[0].aoColumns;F<O.length;F++){var f=O[F];_.push(f.searchBuilderType!==void 0?f.searchBuilderType:f.sType)}}var U=this.s.dt.columns().toArray();(_===void 0||_.includes(void 0)||_.includes(null))&&(b.fn.dataTable.ext.oApi&&b.fn.dataTable.ext.oApi._fnColumnTypes(this.s.dt.settings()[0]),_=this.s.dt.columns().types().toArray());for(var X=0;X<U[0].length;X++){var Q=U[0][X],E=_[Q];if((this.c.columns===!0||Array.isArray(this.c.columns)&&this.c.columns.includes(X))&&(E.includes("date")||E.includes("moment")||E.includes("luxon")))throw alert("SearchBuilder Requires DateTime when used with dates."),new Error("SearchBuilder requires DateTime")}}if(this.s.topGroup=new p(this.s.dt,this.c,void 0,void 0,void 0,void 0,this.s.serverData),this._setClearListener(),this.s.dt.on("stateSaveParams.dtsb",function(w,k,S){S.searchBuilder=h.getDetails(),S.scroller?S.start=h.s.dt.state().start:S.page=h.s.dt.page()}),this.s.dt.on("stateLoadParams.dtsb",function(w,k,S){h.rebuild(S.searchBuilder)}),this._build(),this.s.dt.on("preXhr.dtsb",function(w,k,S){h.s.dt.page.info().serverSide&&(S.searchBuilder=h._collapseArray(h.getDetails(!0)))}),this.s.dt.on("columns-reordered",function(){h.rebuild(h.getDetails())}),l){var $=this.s.dt.state.loaded();$!==null&&$.searchBuilder!==void 0?(this.s.topGroup.rebuild($.searchBuilder),this.s.topGroup.dom.container.trigger("dtsb-redrawContents"),this.s.dt.page.info().serverSide||($.page?this.s.dt.page($.page).draw("page"):this.s.dt.scroller&&$.scroller&&this.s.dt.scroller().scrollToRow($.scroller.topRow)),this.s.topGroup.setListeners()):this.c.preDefined!==!1&&(this.c.preDefined=this._applyPreDefDefaults(this.c.preDefined),this.rebuild(this.c.preDefined))}this._setEmptyListener(),this.s.dt.state.save()},c.prototype._collapseArray=function(l){if(l.logic===void 0)l.value!==void 0&&(l.value.sort(function(_,F){return isNaN(+_)||(_=+_,F=+F),_<F?-1:F<_?1:0}),l.value1=l.value[0],l.value2=l.value[1]);else for(var h=0;h<l.criteria.length;h++)l.criteria[h]=this._collapseArray(l.criteria[h]);return l},c.prototype._updateTitle=function(l){this.dom.title.html(this.s.dt.i18n("searchBuilder.title",this.c.i18n.title,l))},c.prototype._build=function(){var l=this;this.dom.clearAll.remove(),this.dom.container.empty();var h=this.s.topGroup.count();this._updateTitle(h),this.dom.titleRow.append(this.dom.title),this.dom.container.append(this.dom.titleRow),this.dom.topGroup=this.s.topGroup.getNode(),this.dom.container.append(this.dom.topGroup),this._setRedrawListener();var _=this.s.dt.table(0).node();b.fn.dataTable.ext.search.includes(this.s.search)||(this.s.search=function(F,O,f){return F.nTable!==_?!0:l.s.topGroup.search(O,f)},b.fn.dataTable.ext.search.push(this.s.search)),this.s.dt.on("destroy.dtsb",function(){l.dom.container.remove(),l.dom.clearAll.remove();for(var F=b.fn.dataTable.ext.search.indexOf(l.s.search);F!==-1;)b.fn.dataTable.ext.search.splice(F,1),F=b.fn.dataTable.ext.search.indexOf(l.s.search);l.s.dt.off(".dtsb"),b(l.s.dt.table().node()).off(".dtsb")})},c.prototype._checkClear=function(){this.s.topGroup.s.criteria.length>0?(this.dom.clearAll.insertAfter(this.dom.title),this._setClearListener()):this.dom.clearAll.remove()},c.prototype._filterChanged=function(l){var h=this.c.filterChanged;typeof h=="function"&&h(l,this.s.dt.i18n("searchBuilder.button",this.c.i18n.button,l))},c.prototype._setClearListener=function(){var l=this;this.dom.clearAll.unbind("click"),this.dom.clearAll.on("click.dtsb",function(){return l.s.topGroup=new p(l.s.dt,l.c,void 0,void 0,void 0,void 0,l.s.serverData),l._build(),l.s.dt.draw(),l.s.topGroup.setListeners(),l.dom.clearAll.remove(),l._setEmptyListener(),l._filterChanged(0),!1})},c.prototype._setRedrawListener=function(){var l=this;this.s.topGroup.dom.container.unbind("dtsb-redrawContents"),this.s.topGroup.dom.container.on("dtsb-redrawContents.dtsb",function(){l._checkClear(),l.s.topGroup.redrawContents(),l.s.topGroup.setupLogic(),l._setEmptyListener();var h=l.s.topGroup.count();l._updateTitle(h),l._filterChanged(h),l.s.dt.page.info().serverSide||l.s.dt.draw(),l.s.dt.state.save()}),this.s.topGroup.dom.container.unbind("dtsb-redrawContents-noDraw"),this.s.topGroup.dom.container.on("dtsb-redrawContents-noDraw.dtsb",function(){l._checkClear(),l.s.topGroup.s.preventRedraw=!0,l.s.topGroup.redrawContents(),l.s.topGroup.s.preventRedraw=!1,l.s.topGroup.setupLogic(),l._setEmptyListener();var h=l.s.topGroup.count();l._updateTitle(h),l._filterChanged(h)}),this.s.topGroup.dom.container.unbind("dtsb-redrawLogic"),this.s.topGroup.dom.container.on("dtsb-redrawLogic.dtsb",function(){l.s.topGroup.redrawLogic();var h=l.s.topGroup.count();l._updateTitle(h),l._filterChanged(h)}),this.s.topGroup.dom.container.unbind("dtsb-add"),this.s.topGroup.dom.container.on("dtsb-add.dtsb",function(){var h=l.s.topGroup.count();l._updateTitle(h),l._filterChanged(h),l._checkClear()}),this.s.dt.on("postEdit.dtsb postCreate.dtsb postRemove.dtsb",function(){l.s.topGroup.redrawContents()}),this.s.topGroup.dom.container.unbind("dtsb-clearContents"),this.s.topGroup.dom.container.on("dtsb-clearContents.dtsb",function(){l._setUp(!1),l._filterChanged(0),l.s.dt.draw()})},c.prototype._setEmptyListener=function(){var l=this;this.s.topGroup.dom.add.on("click.dtsb",function(){l._checkClear()}),this.s.topGroup.dom.container.on("dtsb-destroy.dtsb",function(){l.dom.clearAll.remove()})},c.version="1.8.0",c.classes={button:"dtsb-button",clearAll:"dtsb-clearAll",container:"dtsb-searchBuilder",inputButton:"dtsb-iptbtn",title:"dtsb-title",titleRow:"dtsb-titleRow"},c.defaults={columns:!0,conditions:{date:i.dateConditions,html:i.stringConditions,"html-num":i.numConditions,"html-num-fmt":i.numFmtConditions,luxon:i.luxonDateConditions,moment:i.momentDateConditions,num:i.numConditions,"num-fmt":i.numFmtConditions,string:i.stringConditions},depthLimit:!1,enterSearch:!1,filterChanged:void 0,greyscale:!1,liveSearch:!0,i18n:{add:"Add Condition",button:{0:"Search Builder",_:"Search Builder (%d)"},clearAll:"Clear All",condition:"Condition",conditions:{array:{contains:"Contains",empty:"Empty",equals:"Equals",not:"Not",notEmpty:"Not Empty",without:"Without"},date:{after:"After",before:"Before",between:"Between",empty:"Empty",equals:"Equals",not:"Not",notBetween:"Not Between",notEmpty:"Not Empty"},number:{between:"Between",empty:"Empty",equals:"Equals",gt:"Greater Than",gte:"Greater Than Equal To",lt:"Less Than",lte:"Less Than Equal To",not:"Not",notBetween:"Not Between",notEmpty:"Not Empty"},string:{contains:"Contains",empty:"Empty",endsWith:"Ends With",equals:"Equals",not:"Not",notContains:"Does Not Contain",notEmpty:"Not Empty",notEndsWith:"Does Not End With",notStartsWith:"Does Not Start With",startsWith:"Starts With"}},data:"Data",delete:"&times",deleteTitle:"Delete filtering rule",left:"<",leftTitle:"Outdent criteria",logicAnd:"And",logicOr:"Or",right:">",rightTitle:"Indent criteria",search:"Search",title:{0:"Custom Search Builder",_:"Custom Search Builder (%d)"},value:"Value",valueJoiner:"and"},logic:"AND",orthogonal:{display:"display",search:"filter"},preDefined:!1},c}();m(cn),u(cn),s(cn);var y=cn.fn.dataTable;at.SearchBuilder=C,y.SearchBuilder=C,at.Group=p,y.Group=p,at.Criteria=i,y.Criteria=i;var T=at.Api.register;at.ext.searchBuilder={conditions:{}},at.ext.buttons.searchBuilder={action:function(c,l,h,_){this.popover(_._searchBuilder.getNode(),{align:"container",span:"container"});var F=_._searchBuilder.s.topGroup;F!==void 0&&F.dom.container.trigger("dtsb-redrawContents-noDraw"),F.s.criteria.length===0&&cn("."+cn.fn.dataTable.Group.classes.add.replace(/ /g,".")).click()},config:{},init:function(c,l,h){var _=new at.SearchBuilder(c,cn.extend({filterChanged:function(F,O){c.button(l).text(O)}},h.config));c.button(l).text(h.text||c.i18n("searchBuilder.button",_.c.i18n.button,0)),h._searchBuilder=_},text:null},T("searchBuilder.getDetails()",function(c){c===void 0&&(c=!1);var l=this.context[0];return l._searchBuilder?l._searchBuilder.getDetails(c):null}),T("searchBuilder.rebuild()",function(c){var l=this.context[0];return l._searchBuilder===void 0?null:(l._searchBuilder.rebuild(c),this)}),T("searchBuilder.container()",function(){var c=this.context[0];return c._searchBuilder?c._searchBuilder.getNode():null});function P(c,l){var h=new at.Api(c),_=l||h.init().searchBuilder||at.defaults.searchBuilder,F=new C(h,_),O=F.getNode();return O}cn(document).on("preInit.dt.dtsp",function(c,l){c.namespace==="dt"&&(l.oInit.searchBuilder||at.defaults.searchBuilder)&&(l._searchBuilder||P(l))}),at.ext.feature.push({cFeature:"Q",fnInit:P}),at.feature&&at.feature.register("searchBuilder",P)})();var sd=ie(ae(),1);var Zs=ie(ae(),1);var Ze=Zs.default;(function(){"use strict";var t,e;function n(w){t=w,e=w.fn.dataTable}var r=function(){function w(k,S,B,L,R){var q=this;if(R===void 0&&(R=null),!e||!e.versionCheck||!e.versionCheck("1.10.0"))throw new Error("SearchPane requires DataTables 1.10 or newer");if(!e.select)throw new Error("SearchPane requires Select");var z=new e.Api(k);this.classes=t.extend(!0,{},w.classes),this.c=t.extend(!0,{},w.defaults,S,R),S&&S.hideCount&&S.viewCount===void 0&&(this.c.viewCount=!this.c.hideCount);var G=z.columns().eq(0).toArray().length;this.s={colExists:B<G,colOpts:void 0,customPaneSettings:R,displayed:!1,dt:z,dtPane:void 0,firstSet:!0,index:B,indexes:[],listSet:!1,name:void 0,rowData:{arrayFilter:[],arrayOriginal:[],bins:{},binsOriginal:{},filterMap:new Map,totalOptions:0},scrollTop:0,searchFunction:void 0,selections:[],serverSelect:[],serverSelecting:!1,tableLength:null,updating:!1},this.s.colOpts=this.s.colExists?this._getOptions():this._getBonusOptions(),this.dom={buttonGroup:t("<div/>").addClass(this.classes.buttonGroup),clear:t('<button type="button">&#215;</button>').attr("disabled","true").addClass(this.classes.disabledButton).addClass(this.classes.paneButton).addClass(this.classes.clearButton).html(this.s.dt.i18n("searchPanes.clearPane",this.c.i18n.clearPane)),collapseButton:t('<button type="button"><span class="'+this.classes.caret+'">&#x5e;</span></button>').addClass(this.classes.paneButton).addClass(this.classes.collapseButton),container:t("<div/>").addClass(this.classes.container).addClass(this.s.colOpts.className).addClass(this.classes.layout+(parseInt(this.c.layout.split("-")[1],10)<10?this.c.layout:this.c.layout.split("-")[0]+"-9")).addClass(this.s.customPaneSettings&&this.s.customPaneSettings.className?this.s.customPaneSettings.className:""),countButton:t('<button type="button"><span></span></button>').addClass(this.classes.paneButton).addClass(this.classes.countButton),dtP:t('<table width="100%"><thead><tr><th></th><th></th></tr></thead></table>'),lower:t("<div/>").addClass(this.classes.subRow2).addClass(this.classes.narrowButton),nameButton:t('<button type="button"><span></span></button>').addClass(this.classes.paneButton).addClass(this.classes.nameButton),panesContainer:t(L),searchBox:t("<input/>").addClass(this.classes.paneInputButton).addClass(this.classes.search),searchButton:t('<button type="button"><span></span></button>').addClass(this.classes.searchIcon).addClass(this.classes.paneButton),searchCont:t("<div/>").addClass(this.classes.searchCont),searchLabelCont:t("<div/>").addClass(this.classes.searchLabelCont),topRow:t("<div/>").addClass(this.classes.topRow),upper:t("<div/>").addClass(this.classes.subRow1).addClass(this.classes.narrowSearch)};var nt="";this.s.colExists?(nt=t(this.s.dt.column(this.s.index).header()).text(),this.dom.dtP.find("th").eq(0).text(nt)):(nt=this.s.customPaneSettings.header||"Custom Pane",this.dom.dtP.find("th").eq(0).html(nt)),this.s.colOpts.name?this.s.name=this.s.colOpts.name:this.s.customPaneSettings&&this.s.customPaneSettings.name?this.s.name=this.s.customPaneSettings.name:this.s.name=nt;var tt=this.s.dt.table(0).node();return this.s.searchFunction=function(et,wt,St){if(q.s.selections.length===0||et.nTable!==tt)return!0;var Tt=null;return q.s.colExists&&(Tt=wt[q.s.index],q.s.colOpts.orthogonal.filter!=="filter"&&(Tt=q.s.rowData.filterMap.get(St),Tt instanceof t.fn.dataTable.Api&&(Tt=Tt.toArray()))),q._search(Tt,St)},t.fn.dataTable.ext.search.push(this.s.searchFunction),this.c.clear&&this.dom.clear.on("click.dtsp",function(){var et=q.dom.container.find("."+q.classes.search.replace(/\s+/g,"."));et.each(function(){t(this).val("").trigger("input")}),q.clearPane()}),this.s.dt.on("draw.dtsp",function(){return q.adjustTopRow()}),this.s.dt.on("buttons-action.dtsp",function(){return q.adjustTopRow()}),this.s.dt.on("column-reorder.dtsp",function(et,wt,St){q.s.index=St.mapping[q.s.index]}),this}return w.prototype.addRow=function(k,S,B,L,R,q,z){q||(q=this.s.rowData.bins[S]?this.s.rowData.bins[S]:0),z||(z=this._getShown(S));for(var G,nt=0,tt=this.s.indexes;nt<tt.length;nt++){var et=tt[nt];et.filter===S&&(G=et.index)}return G===void 0&&(G=this.s.indexes.length,this.s.indexes.push({filter:S,index:G})),this.s.dtPane.row.add({className:R,display:k!==""?k:this.emptyMessage(),filter:S,index:G,shown:z,sort:B,total:q,type:L})},w.prototype.adjustTopRow=function(){var k=this.dom.container.find("."+this.classes.subRowsContainer.replace(/\s+/g,".")),S=this.dom.container.find("."+this.classes.subRow1.replace(/\s+/g,".")),B=this.dom.container.find("."+this.classes.subRow2.replace(/\s+/g,".")),L=this.dom.container.find("."+this.classes.topRow.replace(/\s+/g,"."));(t(k[0]).width()<252||t(L[0]).width()<252)&&t(k[0]).width()!==0?(t(k[0]).addClass(this.classes.narrow),t(S[0]).addClass(this.classes.narrowSub).removeClass(this.classes.narrowSearch),t(B[0]).addClass(this.classes.narrowSub).removeClass(this.classes.narrowButton)):(t(k[0]).removeClass(this.classes.narrow),t(S[0]).removeClass(this.classes.narrowSub).addClass(this.classes.narrowSearch),t(B[0]).removeClass(this.classes.narrowSub).addClass(this.classes.narrowButton))},w.prototype.clearData=function(){this.s.rowData={arrayFilter:[],arrayOriginal:[],bins:{},binsOriginal:{},filterMap:new Map,totalOptions:0}},w.prototype.clearPane=function(){return this.s.dtPane.rows({selected:!0}).deselect(),this.updateTable(),this},w.prototype.collapse=function(){var k=this;!this.s.displayed||!this.c.collapse&&this.s.colOpts.collapse!==!0||this.s.colOpts.collapse===!1||(t(this.s.dtPane.table().container()).addClass(this.classes.hidden),this.dom.topRow.addClass(this.classes.bordered),this.dom.nameButton.addClass(this.classes.disabledButton),this.dom.countButton.addClass(this.classes.disabledButton),this.dom.searchButton.addClass(this.classes.disabledButton),this.dom.collapseButton.addClass(this.classes.rotated),this.dom.topRow.one("click.dtsp",function(){return k.show()}),this.dom.topRow.trigger("collapse.dtsps"))},w.prototype.destroy=function(){this.s.dtPane&&this.s.dtPane.off(".dtsp"),this.s.dt.off(".dtsp"),this.dom.clear.off(".dtsp"),this.dom.nameButton.off(".dtsp"),this.dom.countButton.off(".dtsp"),this.dom.searchButton.off(".dtsp"),this.dom.collapseButton.off(".dtsp"),t(this.s.dt.table().node()).off(".dtsp"),this.dom.container.detach();for(var k=t.fn.dataTable.ext.search.indexOf(this.s.searchFunction);k!==-1;)t.fn.dataTable.ext.search.splice(k,1),k=t.fn.dataTable.ext.search.indexOf(this.s.searchFunction);this.s.dtPane&&this.s.dtPane.destroy(),this.s.listSet=!1},w.prototype.emptyMessage=function(){var k=this.c.i18n.emptyMessage;return this.c.emptyMessage&&(k=this.c.emptyMessage),this.s.colOpts.emptyMessage!==!1&&this.s.colOpts.emptyMessage!==null&&(k=this.s.colOpts.emptyMessage),this.s.dt.i18n("searchPanes.emptyMessage",k)},w.prototype.getPaneCount=function(){return this.s.dtPane?this.s.dtPane.rows({selected:!0}).data().toArray().length:0},w.prototype.rebuildPane=function(k,S){k===void 0&&(k=null),S===void 0&&(S=!1),this.clearData();var B=[];this.s.serverSelect=[];var L=null;return this.s.dtPane&&(S&&(this.s.dt.page.info().serverSide?this.s.serverSelect=this.s.dtPane.rows({selected:!0}).data().toArray():B=this.s.dtPane.rows({selected:!0}).data().toArray()),this.s.dtPane.clear().destroy(),L=this.dom.container.prev(),this.destroy(),this.s.dtPane=void 0,t.fn.dataTable.ext.search.push(this.s.searchFunction)),this.dom.container.removeClass(this.classes.hidden),this.s.displayed=!1,this._buildPane(this.s.dt.page.info().serverSide?this.s.serverSelect:B,k,L),this},w.prototype.resize=function(k){this.c.layout=k,this.dom.container.removeClass().addClass(this.classes.show).addClass(this.classes.container).addClass(this.s.colOpts.className).addClass(this.classes.layout+(parseInt(k.split("-")[1],10)<10?k:k.split("-")[0]+"-9")).addClass(this.s.customPaneSettings!==null&&this.s.customPaneSettings.className?this.s.customPaneSettings.className:""),this.adjustTopRow()},w.prototype.setListeners=function(){var k=this;this.s.dtPane&&(this.s.dtPane.off("select.dtsp").on("select.dtsp",function(){clearTimeout(k.s.deselectTimeout),k._updateSelection(!k.s.updating),k.dom.clear.removeClass(k.classes.disabledButton).removeAttr("disabled")}),this.s.dtPane.off("deselect.dtsp").on("deselect.dtsp",function(){k.s.deselectTimeout=setTimeout(function(){k._updateSelection(!0),k.s.dtPane.rows({selected:!0}).data().toArray().length===0&&k.dom.clear.addClass(k.classes.disabledButton).attr("disabled","true")},50)}),this.s.firstSet&&(this.s.firstSet=!1,this.s.dt.on("stateSaveParams.dtsp",function(S,B,L){if(t.isEmptyObject(L)){k.s.dtPane.state.clear();return}var R,q,z=[],G,nt,tt;k.s.dtPane&&(z=k.s.dtPane.rows({selected:!0}).data().map(function(wt){return wt.filter!==null?wt.filter.toString():null}).toArray(),nt=k.dom.searchBox.val(),q=k.s.dtPane.order(),R=k.s.rowData.binsOriginal,tt=k.s.rowData.arrayOriginal,G=k.dom.collapseButton.hasClass(k.classes.rotated)),L.searchPanes===void 0&&(L.searchPanes={}),L.searchPanes.panes===void 0&&(L.searchPanes.panes=[]);for(var et=0;et<L.searchPanes.panes.length;et++)L.searchPanes.panes[et].id===k.s.index&&(L.searchPanes.panes.splice(et,1),et--);L.searchPanes.panes.push({arrayFilter:tt,bins:R,collapsed:G,id:k.s.index,order:q,searchTerm:nt,selected:z})})),this.s.dtPane.off("user-select.dtsp").on("user-select.dtsp",function(S,B,L,R,q){q.stopPropagation()}),this.s.dtPane.off("draw.dtsp").on("draw.dtsp",function(){return k.adjustTopRow()}),this.dom.nameButton.off("click.dtsp").on("click.dtsp",function(){var S=k.s.dtPane.order()[0][1];k.s.dtPane.order([[0,S==="asc"?"desc":"asc"]]).draw(),k.s.dt.state.save()}),this.dom.countButton.off("click.dtsp").on("click.dtsp",function(){var S=k.s.dtPane.order()[0][1];k.s.dtPane.order([[1,S==="asc"?"desc":"asc"]]).draw(),k.s.dt.state.save()}),this.dom.collapseButton.off("click.dtsp").on("click.dtsp",function(S){S.stopPropagation();var B=t(k.s.dtPane.table().container());B.toggleClass(k.classes.hidden),k.dom.topRow.toggleClass(k.classes.bordered),k.dom.nameButton.toggleClass(k.classes.disabledButton),k.dom.countButton.toggleClass(k.classes.disabledButton),k.dom.searchButton.toggleClass(k.classes.disabledButton),k.dom.collapseButton.toggleClass(k.classes.rotated),B.hasClass(k.classes.hidden)?k.dom.topRow.on("click.dtsp",function(){return k.dom.collapseButton.click()}):k.dom.topRow.off("click.dtsp"),k.s.dt.state.save(),k.dom.topRow.trigger("collapse.dtsps")}),this.dom.clear.off("click.dtsp").on("click.dtsp",function(){var S=k.dom.container.find("."+k.classes.search.replace(/ /g,"."));S.each(function(){t(this).val("").trigger("input")}),k.clearPane()}),this.dom.searchButton.off("click.dtsp").on("click.dtsp",function(){return k.dom.searchBox.focus()}),this.dom.searchBox.off("click.dtsp").on("input.dtsp",function(){var S=k.dom.searchBox.val();k.s.dtPane.search(S).draw(),typeof S=="string"&&(S.length>0||S.length===0&&k.s.dtPane.rows({selected:!0}).data().toArray().length>0)?k.dom.clear.removeClass(k.classes.disabledButton).removeAttr("disabled"):k.dom.clear.addClass(k.classes.disabledButton).attr("disabled","true"),k.s.dt.state.save()}),this.s.dtPane.select.style(this.s.colOpts.dtOpts&&this.s.colOpts.dtOpts.select&&this.s.colOpts.dtOpts.select.style?this.s.colOpts.dtOpts.select.style:this.c.dtOpts&&this.c.dtOpts.select&&this.c.dtOpts.select.style?this.c.dtOpts.select.style:"os"))},w.prototype._serverPopulate=function(k){k.tableLength?(this.s.tableLength=k.tableLength,this.s.rowData.totalOptions=this.s.tableLength):(this.s.tableLength===null||this.s.dt.rows()[0].length>this.s.tableLength)&&(this.s.tableLength=this.s.dt.rows()[0].length,this.s.rowData.totalOptions=this.s.tableLength);var S=this.s.dt.column(this.s.index).dataSrc();if(k.searchPanes.options[S])for(var B=0,L=k.searchPanes.options[S];B<L.length;B++){var R=L[B];this.s.rowData.arrayFilter.push({display:R.label,filter:R.value,sort:R.label,type:R.label}),this.s.rowData.bins[R.value]=R.total}var q=Object.keys(this.s.rowData.bins).length,z=this._uniqueRatio(q,this.s.tableLength);if(this.s.displayed===!1&&((this.s.colOpts.show===void 0&&this.s.colOpts.threshold===null?z>this.c.threshold:z>this.s.colOpts.threshold)||this.s.colOpts.show!==!0&&q<=1)){this.dom.container.addClass(this.classes.hidden),this.s.displayed=!1;return}this.s.rowData.arrayOriginal=this.s.rowData.arrayFilter,this.s.rowData.binsOriginal=this.s.rowData.bins,this.s.displayed=!0},w.prototype.show=function(){this.s.displayed&&(this.dom.topRow.removeClass(this.classes.bordered),this.dom.nameButton.removeClass(this.classes.disabledButton),this.dom.countButton.removeClass(this.classes.disabledButton),this.dom.searchButton.removeClass(this.classes.disabledButton),this.dom.collapseButton.removeClass(this.classes.rotated),t(this.s.dtPane.table().container()).removeClass(this.classes.hidden),this.dom.topRow.trigger("collapse.dtsps"))},w.prototype._uniqueRatio=function(k,S){return S>0&&(this.s.rowData.totalOptions>0&&!this.s.dt.page.info().serverSide||this.s.dt.page.info().serverSide&&this.s.tableLength>0)?k/this.s.rowData.totalOptions:1},w.prototype.updateTable=function(){var k=this.s.dtPane.rows({selected:!0}).data().toArray().map(function(S){return S.filter});this.s.selections=k,this._searchExtras()},w.prototype._getComparisonRows=function(){var k=this.s.colOpts.options?this.s.colOpts.options:this.s.customPaneSettings&&this.s.customPaneSettings.options?this.s.customPaneSettings.options:void 0;if(k!==void 0){var S=this.s.dt.rows(),B=S.data().toArray(),L=[];this.s.dtPane.clear(),this.s.indexes=[];for(var R=0,q=k;R<q.length;R++){var z=q[R],G=z.label!==""?z.label:this.emptyMessage(),nt={className:z.className,display:G,filter:typeof z.value=="function"?z.value:[],sort:z.order!==void 0?z.order:G,total:0,type:G};if(typeof z.value=="function"){for(var tt=0;tt<B.length;tt++)z.value.call(this.s.dt,B[tt],S[0][tt])&&nt.total++;typeof nt.filter!="function"&&nt.filter.push(z.filter)}L.push(this.addRow(nt.display,nt.filter,nt.sort,nt.type,nt.className,nt.total))}return L}},w.prototype._getMessage=function(k){return this.s.dt.i18n("searchPanes.count",this.c.i18n.count).replace(/{total}/g,k.total)},w.prototype._getShown=function(k){},w.prototype._getPaneConfig=function(){var k=this,S=e.Scroller,B=this.s.dt.settings()[0].oLanguage;return B.url=void 0,B.sUrl=void 0,{columnDefs:[{className:"dtsp-nameColumn",data:"display",render:function(L,R,q){if(R==="sort")return q.sort;if(R==="type")return q.type;var z=k._getMessage(q),G='<span class="'+k.classes.pill+'">'+z+"</span>";return(!k.c.viewCount||!k.s.colOpts.viewCount)&&(G=""),R==="filter"?typeof L=="string"&&L.match(/<[^>]*>/)!==null?L.replace(/<[^>]*>/g,""):L:'<div class="'+k.classes.nameCont+'"><span title="'+(typeof L=="string"&&L.match(/<[^>]*>/)!==null?L.replace(/<[^>]*>/g,""):L)+'" class="'+k.classes.name+'">'+L+"</span>"+G+"</div>"},targets:0,type:this.s.dt.settings()[0].aoColumns[this.s.index]?this.s.dt.settings()[0].aoColumns[this.s.index]._sManualType:null},{className:"dtsp-countColumn "+this.classes.badgePill,data:"total",searchable:!1,targets:1,visible:!1}],deferRender:!0,info:!1,language:B,paging:!!S,scrollX:!1,scrollY:"200px",scroller:!!S,select:!0,stateSave:!!this.s.dt.settings()[0].oFeatures.bStateSave}},w.prototype._makeSelection=function(){this.updateTable(),this.s.updating=!0,this.s.dt.draw(),this.s.updating=!1},w.prototype._populatePaneArray=function(k,S,B,L){L===void 0&&(L=this.s.rowData.bins);var R=B.fastData?B.fastData:function(G,nt,tt){return B.oApi._fnGetCellData(B,G,nt,tt)};if(typeof this.s.colOpts.orthogonal=="string"){var q=R(k,this.s.index,this.s.colOpts.orthogonal);this.s.rowData.filterMap.set(k,q),this._addOption(q,q,q,q,S,L),this.s.rowData.totalOptions++}else{var z=R(k,this.s.index,this.s.colOpts.orthogonal.search);z===null&&(z=""),typeof z=="string"&&(z=z.replace(/<[^>]*>/g,"")),this.s.rowData.filterMap.set(k,z),L[z]?(L[z]++,this.s.rowData.totalOptions++):(L[z]=1,this._addOption(z,R(k,this.s.index,this.s.colOpts.orthogonal.display),R(k,this.s.index,this.s.colOpts.orthogonal.sort),R(k,this.s.index,this.s.colOpts.orthogonal.type),S,L),this.s.rowData.totalOptions++)}},w.prototype._reloadSelect=function(k){if(k!==void 0){for(var S,B=0;B<k.searchPanes.panes.length;B++)if(k.searchPanes.panes[B].id===this.s.index){S=B;break}if(S)for(var L=this.s.dtPane,R=L.rows({order:"index"}).data().map(function(tt){return tt.filter!==null?tt.filter.toString():null}).toArray(),q=0,z=k.searchPanes.panes[S].selected;q<z.length;q++){var G=z[q],nt=-1;G!==null&&(nt=R.indexOf(G.toString())),nt>-1&&(this.s.serverSelecting=!0,L.row(nt).select(),this.s.serverSelecting=!1)}}},w.prototype._updateSelection=function(k){var S=this,B=function(R){if(at.versionCheck("2"))S.s.dt.processing(R);else{var q=S.s.dt.settings()[0],z=q.oApi;z._fnProcessingDisplay(q,!1)}},L=function(){S.s.scrollTop=t(S.s.dtPane.table().node()).parent()[0].scrollTop,S.s.dt.page.info().serverSide&&!S.s.updating?S.s.serverSelecting||(S.s.serverSelect=S.s.dtPane.rows({selected:!0}).data().toArray(),S.s.dt.draw(!1)):k&&S._makeSelection(),B(!1)};B(!0),setTimeout(L,1)},w.prototype._addOption=function(k,S,B,L,R,q){if(Array.isArray(k)||k instanceof e.Api){if(k instanceof e.Api&&(k=k.toArray(),S=S.toArray()),k.length===S.length){for(var z=0;z<k.length;z++)q[k[z]]?q[k[z]]++:(q[k[z]]=1,R.push({display:S[z],filter:k[z],sort:B[z],type:L[z]})),this.s.rowData.totalOptions++;return}throw new Error("display and filter not the same length")}else typeof this.s.colOpts.orthogonal=="string"?q[k]?(q[k]++,this.s.rowData.totalOptions++):(q[k]=1,R.push({display:S,filter:k,sort:B,type:L}),this.s.rowData.totalOptions++):R.push({display:S,filter:k,sort:B,type:L})},w.prototype._buildPane=function(k,S,B){var L=this;k===void 0&&(k=[]),S===void 0&&(S=null),B===void 0&&(B=null),this.s.selections=[];var R=this.s.dt.state.loaded(),q;if(this.s.listSet&&(R=this.s.dt.state()),this.s.colExists){var z=-1;if(R&&R.searchPanes&&R.searchPanes.panes){for(var G=0;G<R.searchPanes.panes.length;G++)if(R.searchPanes.panes[G].id===this.s.index){z=G;break}}if((this.s.colOpts.show===!1||this.s.colOpts.show!==void 0&&this.s.colOpts.show!==!0)&&z===-1)return this.dom.container.addClass(this.classes.hidden),this.s.displayed=!1,!1;if((this.s.colOpts.show===!0||z!==-1)&&(this.s.displayed=!0),!this.s.dt.page.info().serverSide&&(!S||!S.searchPanes||!S.searchPanes.options)){this.s.rowData.arrayFilter.length===0&&(this.s.rowData.totalOptions=0,this._populatePane(),this.s.rowData.arrayOriginal=this.s.rowData.arrayFilter,this.s.rowData.binsOriginal=this.s.rowData.bins);var nt=Object.keys(this.s.rowData.binsOriginal).length,tt=this._uniqueRatio(nt,this.s.dt.rows()[0].length);if(this.s.displayed===!1&&((this.s.colOpts.show===void 0&&this.s.colOpts.threshold===null?tt>this.c.threshold:tt>this.s.colOpts.threshold)||this.s.colOpts.show!==!0&&nt<=1)){this.dom.container.addClass(this.classes.hidden),this.s.displayed=!1;return}this.dom.container.addClass(this.classes.show),this.s.displayed=!0}else S&&S.searchPanes&&S.searchPanes.options&&this._serverPopulate(S)}else this.s.displayed=!0;this._displayPane(),this.s.listSet||this.dom.dtP.on("stateLoadParams.dtsp",function(pt,vt,rt){t.isEmptyObject(L.s.dt.state.loaded())&&t.each(rt,function(gt){delete rt[gt]})}),B!==null&&this.dom.panesContainer.has(B).length>0?this.dom.container.insertAfter(B):this.dom.panesContainer.prepend(this.dom.container);var et=t.fn.dataTable.ext.errMode;t.fn.dataTable.ext.errMode="none",this.dom.dtP.on("init.dt",function(pt,vt){var rt=L.dom.dtP.DataTable(),gt=rt.select.style();rt.select.style(gt)}),this.s.dtPane=this.dom.dtP.DataTable(t.extend(!0,this._getPaneConfig(),this.c.dtOpts,this.s.colOpts?this.s.colOpts.dtOpts:{},this.s.colOpts.options||!this.s.colExists?{createdRow:function(pt,vt){t(pt).addClass(vt.className)}}:void 0,this.s.customPaneSettings!==null&&this.s.customPaneSettings.dtOpts?this.s.customPaneSettings.dtOpts:{},t.fn.dataTable.versionCheck("2")?{layout:{bottomStart:null,bottomEnd:null,topStart:null,topEnd:null}}:{dom:"t"})),this.dom.dtP.addClass(this.classes.table);var wt="Custom Pane";if(this.s.customPaneSettings&&this.s.customPaneSettings.header?wt=this.s.customPaneSettings.header:this.s.colOpts.header?wt=this.s.colOpts.header:this.s.colExists&&(wt=t.fn.dataTable.versionCheck("2")?this.s.dt.column(this.s.index).title():this.s.dt.settings()[0].aoColumns[this.s.index].sTitle),wt=this._escapeHTML(wt),this.dom.searchBox.attr("placeholder",wt),t.fn.dataTable.ext.errMode=et,this.s.colExists)for(var St=0,Tt=this.s.rowData.arrayFilter.length;St<Tt;St++)if(this.s.dt.page.info().serverSide){q=this.addRow(this.s.rowData.arrayFilter[St].display,this.s.rowData.arrayFilter[St].filter,this.s.rowData.arrayFilter[St].sort,this.s.rowData.arrayFilter[St].type);for(var kt=0,Lt=this.s.serverSelect;kt<Lt.length;kt++){var Bt=Lt[kt];Bt.filter===this.s.rowData.arrayFilter[St].filter&&(this.s.serverSelecting=!0,q.select(),this.s.serverSelecting=!1)}}else!this.s.dt.page.info().serverSide&&this.s.rowData.arrayFilter[St]?this.addRow(this.s.rowData.arrayFilter[St].display,this.s.rowData.arrayFilter[St].filter,this.s.rowData.arrayFilter[St].sort,this.s.rowData.arrayFilter[St].type):this.s.dt.page.info().serverSide||this.addRow("","","","");(this.s.colOpts.options||this.s.customPaneSettings&&this.s.customPaneSettings.options)&&this._getComparisonRows(),this.s.dtPane.draw(),this.s.dtPane.table().node().parentNode.scrollTop=this.s.scrollTop,this.adjustTopRow(),this.setListeners(),this.s.listSet=!0;for(var $t=0,Kt=k;$t<Kt.length;$t++){var D=Kt[$t];if(D)for(var ut=0,ot=this.s.dtPane.rows().indexes().toArray();ut<ot.length;ut++)q=ot[ut],this.s.dtPane.row(q).data()&&D.filter===this.s.dtPane.row(q).data().filter&&(this.s.dt.page.info().serverSide?(this.s.serverSelecting=!0,this.s.dtPane.row(q).select(),this.s.serverSelecting=!1):this.s.dtPane.row(q).select())}if(this.s.dt.page.info().serverSide&&this.s.dtPane.search(this.dom.searchBox.val()).draw(),(this.c.initCollapsed&&this.s.colOpts.initCollapsed!==!1||this.s.colOpts.initCollapsed)&&(this.c.collapse&&this.s.colOpts.collapse!==!1||this.s.colOpts.collapse)&&(this.s.dtPane.settings()[0]._bInitComplete?this.collapse():this.s.dtPane.one("init",function(){return L.collapse()})),R&&R.searchPanes&&R.searchPanes.panes&&(!S||S.draw===1)){this._reloadSelect(R);for(var V=0,j=R.searchPanes.panes;V<j.length;V++){var K=j[V];K.id===this.s.index&&(K.searchTerm&&K.searchTerm.length>0&&this.dom.searchBox.val(K.searchTerm).trigger("input"),K.order&&this.s.dtPane.order(K.order).draw(),K.collapsed?this.collapse():this.show())}}return!0},w.prototype._displayPane=function(){this.dom.dtP.empty(),this.dom.topRow.empty().addClass(this.classes.topRow),parseInt(this.c.layout.split("-")[1],10)>3&&this.dom.container.addClass(this.classes.smallGap),this.dom.topRow.addClass(this.classes.subRowsContainer).append(this.dom.upper.append(this.dom.searchCont)).append(this.dom.lower.append(this.dom.buttonGroup)),(this.c.dtOpts.searching===!1||this.s.colOpts.dtOpts&&this.s.colOpts.dtOpts.searching===!1||!this.c.controls||!this.s.colOpts.controls||this.s.customPaneSettings&&this.s.customPaneSettings.dtOpts&&this.s.customPaneSettings.dtOpts.searching!==void 0&&!this.s.customPaneSettings.dtOpts.searching)&&this.dom.searchBox.removeClass(this.classes.paneInputButton).addClass(this.classes.disabledButton).attr("disabled","true"),this.dom.searchBox.appendTo(this.dom.searchCont),this._searchContSetup(),this.c.clear&&this.c.controls&&this.s.colOpts.controls&&this.dom.clear.appendTo(this.dom.buttonGroup),this.c.orderable&&this.s.colOpts.orderable&&this.c.controls&&this.s.colOpts.controls&&this.dom.nameButton.appendTo(this.dom.buttonGroup),this.c.viewCount&&this.s.colOpts.viewCount&&this.c.orderable&&this.s.colOpts.orderable&&this.c.controls&&this.s.colOpts.controls&&this.dom.countButton.appendTo(this.dom.buttonGroup),(this.c.collapse&&this.s.colOpts.collapse!==!1||this.s.colOpts.collapse)&&this.c.controls&&this.s.colOpts.controls&&this.dom.collapseButton.appendTo(this.dom.buttonGroup),this.dom.container.prepend(this.dom.topRow).append(this.dom.dtP).show()},w.prototype._escapeHTML=function(k){return k.toString().replace(/&lt;/g,"<").replace(/&gt;/g,">").replace(/&quot;/g,'"').replace(/&amp;/g,"&")},w.prototype._getBonusOptions=function(){var k={threshold:null};return t.extend(!0,{},w.defaults,k,this.c?this.c:{})},w.prototype._getOptions=function(){var k=this.s.dt,S={collapse:null,emptyMessage:!1,initCollapsed:null,threshold:null},B=k.settings()[0].aoColumns[this.s.index].searchPanes,L=t.extend(!0,{},w.defaults,S,B);return B&&B.hideCount&&B.viewCount===void 0&&(L.viewCount=!B.hideCount),L},w.prototype._populatePane=function(){this.s.rowData.arrayFilter=[],this.s.rowData.bins={};var k=this.s.dt.context[0];if(!this.s.dt.page.info().serverSide)for(var S=0,B=this.s.dt.rows().indexes().toArray();S<B.length;S++){var L=B[S];this._populatePaneArray(L,this.s.rowData.arrayFilter,k)}},w.prototype._search=function(k,S){for(var B=this.s.colOpts,L=this.s.dt,R=0,q=this.s.selections;R<q.length;R++){var z=q[R];if(typeof z=="string"&&typeof k=="string"&&(z=this._escapeHTML(z)),Array.isArray(k)){if(B.combiner==="and"){if(!k.includes(z))return!1}else if(k.includes(z))return!0}else if(typeof z=="function"){if(z.call(L,L.row(S).data(),S)){if(B.combiner==="or")return!0}else if(B.combiner==="and")return!1}else if(k===z||!(typeof k=="string"&&k.length===0)&&k==z||z===null&&typeof k=="string"&&k==="")return!0}return B.combiner==="and"},w.prototype._searchContSetup=function(){this.c.controls&&this.s.colOpts.controls&&this.dom.searchButton.appendTo(this.dom.searchLabelCont),this.c.dtOpts.searching===!1||this.s.colOpts.dtOpts.searching===!1||this.s.customPaneSettings&&this.s.customPaneSettings.dtOpts&&this.s.customPaneSettings.dtOpts.searching!==void 0&&!this.s.customPaneSettings.dtOpts.searching||this.dom.searchLabelCont.appendTo(this.dom.searchCont)},w.prototype._searchExtras=function(){var k=this.s.updating;this.s.updating=!0;var S=this.s.dtPane.rows({selected:!0}).data().pluck("filter").toArray(),B=S.indexOf(this.emptyMessage()),L=t(this.s.dtPane.table().container());B>-1&&(S[B]=""),S.length>0?L.addClass(this.classes.selected):S.length===0&&L.removeClass(this.classes.selected),this.s.updating=k},w.version="2.1.2",w.classes={bordered:"dtsp-bordered",buttonGroup:"dtsp-buttonGroup",buttonSub:"dtsp-buttonSub",caret:"dtsp-caret",clear:"dtsp-clear",clearAll:"dtsp-clearAll",clearButton:"clearButton",collapseAll:"dtsp-collapseAll",collapseButton:"dtsp-collapseButton",container:"dtsp-searchPane",countButton:"dtsp-countButton",disabledButton:"dtsp-disabledButton",hidden:"dtsp-hidden",hide:"dtsp-hide",layout:"dtsp-",name:"dtsp-name",nameButton:"dtsp-nameButton",nameCont:"dtsp-nameCont",narrow:"dtsp-narrow",paneButton:"dtsp-paneButton",paneInputButton:"dtsp-paneInputButton",pill:"dtsp-pill",rotated:"dtsp-rotated",search:"dtsp-search",searchCont:"dtsp-searchCont",searchIcon:"dtsp-searchIcon",searchLabelCont:"dtsp-searchButtonCont",selected:"dtsp-selected",smallGap:"dtsp-smallGap",subRow1:"dtsp-subRow1",subRow2:"dtsp-subRow2",subRowsContainer:"dtsp-subRowsContainer",title:"dtsp-title",topRow:"dtsp-topRow"},w.defaults={clear:!0,collapse:!0,combiner:"or",container:function(k){return k.table().container()},controls:!0,dtOpts:{},emptyMessage:null,hideCount:!1,i18n:{clearPane:"&times;",count:"{total}",emptyMessage:"<em>No data</em>"},initCollapsed:!1,layout:"auto",name:void 0,orderable:!0,orthogonal:{display:"display",filter:"filter",hideCount:!1,search:"filter",show:void 0,sort:"sort",threshold:.6,type:"type",viewCount:!0},preSelect:[],threshold:.6,viewCount:!0},w}(),s=window&&window.__extends||function(){var w=function(k,S){return w=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(B,L){B.__proto__=L}||function(B,L){for(var R in L)L.hasOwnProperty(R)&&(B[R]=L[R])},w(k,S)};return function(k,S){w(k,S);function B(){this.constructor=k}k.prototype=S===null?Object.create(S):(B.prototype=S.prototype,new B)}}(),i=function(w){s(k,w);function k(S,B,L,R,q){return w.call(this,S,B,L,R,q)||this}return k.prototype._emptyPane=function(){var S=this.s.dtPane;if(at.versionCheck("2")){var B=S.select.last(),L;return B&&S.row(B.row).any()&&(L=S.row(B.row).data().index),S.rows().remove(),function(){if(L!==void 0){var R=S.row(function(q,z){return z.index===L}).index();S.select.last({row:R,column:0})}}}return S.rows().remove(),function(){}},k.prototype._serverPopulate=function(S){var B,L,R;this.s.rowData.binsShown={},this.s.rowData.arrayFilter=[],S.tableLength!==void 0?(this.s.tableLength=S.tableLength,this.s.rowData.totalOptions=this.s.tableLength):(this.s.tableLength===null||this.s.dt.rows()[0].length>this.s.tableLength)&&(this.s.tableLength=this.s.dt.rows()[0].length,this.s.rowData.totalOptions=this.s.tableLength);var q=this.s.dt.column(this.s.index).dataSrc();if(S.searchPanes.options[q]!==void 0)for(var z=0,G=S.searchPanes.options[q];z<G.length;z++){var nt=G[z];this.s.rowData.arrayFilter.push({display:nt.label,filter:nt.value,shown:+nt.count,sort:nt.label,total:+nt.total,type:nt.label}),this.s.rowData.binsShown[nt.value]=+nt.count,this.s.rowData.bins[nt.value]=+nt.total}var tt=Object.keys(this.s.rowData.bins).length,et=this._uniqueRatio(tt,this.s.tableLength);if(!this.s.colOpts.show&&this.s.displayed===!1&&((this.s.colOpts.show===void 0&&this.s.colOpts.threshold===null?et>this.c.threshold:et>this.s.colOpts.threshold)||this.s.colOpts.show!==!0&&tt<=1)){this.dom.container.addClass(this.classes.hidden),this.s.displayed=!1;return}if(this.s.rowData.arrayOriginal=this.s.rowData.arrayFilter,this.s.rowData.binsOriginal=this.s.rowData.bins,this.s.displayed=!0,this.s.dtPane){for(var wt=this.s.serverSelect,St=this._emptyPane(),Tt=0,kt=this.s.rowData.arrayFilter;Tt<kt.length;Tt++)if(R=kt[Tt],this._shouldAddRow(R)){L=this.addRow(R.display,R.filter,R.sort,R.type);for(var Lt=0;Lt<wt.length;Lt++)if(B=wt[Lt],B.filter===R.filter){this.s.serverSelecting=!0,L.select(),this.s.serverSelecting=!1,wt.splice(Lt,1),this.s.selections.push(R.filter);break}}for(var Bt=0,$t=wt;Bt<$t.length;Bt++){B=$t[Bt];for(var Kt=0,D=this.s.rowData.arrayOriginal;Kt<D.length;Kt++)R=D[Kt],R.filter===B.filter&&(L=this.addRow(R.display,R.filter,R.sort,R.type),this.s.serverSelecting=!0,L.select(),this.s.serverSelecting=!1,this.s.selections.push(R.filter))}this.s.serverSelect=this.s.dtPane.rows({selected:!0}).data().toArray(),this.s.dtPane.draw(),St()}},k.prototype.updateRows=function(){if(!this.s.dt.page.info().serverSide){this.s.rowData.binsShown={};for(var S=0,B=this.s.dt.rows({search:"applied"}).indexes().toArray();S<B.length;S++){var L=B[S];this._updateShown(L,this.s.dt.settings()[0],this.s.rowData.binsShown)}}for(var R=function(tt){tt.shown=typeof q.s.rowData.binsShown[tt.filter]=="number"?q.s.rowData.binsShown[tt.filter]:0,q.s.dtPane.row(function(et,wt){return wt&&wt.index===tt.index}).data(tt)},q=this,z=0,G=this.s.dtPane.rows().data().toArray();z<G.length;z++){var nt=G[z];R(nt)}this.s.dtPane.draw(),this.s.dtPane.table().node().parentNode.scrollTop=this.s.scrollTop},k.prototype._makeSelection=function(){},k.prototype._reloadSelect=function(){},k.prototype._shouldAddRow=function(S){return!0},k.prototype._updateSelection=function(){this.s.dt.page.info().serverSide&&!this.s.updating&&!this.s.serverSelecting&&(this.s.serverSelect=this.s.dtPane.rows({selected:!0}).data().toArray())},k.prototype._updateShown=function(S,B,L){L===void 0&&(L=this.s.rowData.binsShown);var R=typeof this.s.colOpts.orthogonal=="string"?this.s.colOpts.orthogonal:this.s.colOpts.orthogonal.search,q=B.fastData?B.fastData:function(wt,St,Tt){return B.oApi._fnGetCellData(B,wt,St,Tt)},z=q(S,this.s.index,R),G=function(wt){L[wt]?L[wt]++:L[wt]=1};if(Array.isArray(z))for(var nt=0,tt=z;nt<tt.length;nt++){var et=tt[nt];G(et)}else G(z)},k}(r),o=window&&window.__extends||function(){var w=function(k,S){return w=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(B,L){B.__proto__=L}||function(B,L){for(var R in L)L.hasOwnProperty(R)&&(B[R]=L[R])},w(k,S)};return function(k,S){w(k,S);function B(){this.constructor=k}k.prototype=S===null?Object.create(S):(B.prototype=S.prototype,new B)}}(),u;function p(w){u=w}var b=function(w){o(k,w);function k(S,B,L,R,q){var z=this,G={i18n:{countFiltered:"{shown} ({total})"}};return z=w.call(this,S,u.extend(G,B),L,R,q)||this,z}return k.prototype._getMessage=function(S){var B=this.s.dt.i18n("searchPanes.count",this.c.i18n.count),L=this.s.dt.i18n("searchPanes.countFiltered",this.c.i18n.countFiltered);return(this.s.filteringActive?L:B).replace(/{total}/g,S.total).replace(/{shown}/g,S.shown)},k.prototype._getShown=function(S){return this.s.rowData.binsShown&&this.s.rowData.binsShown[S]?this.s.rowData.binsShown[S]:0},k}(i),g=window&&window.__extends||function(){var w=function(k,S){return w=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(B,L){B.__proto__=L}||function(B,L){for(var R in L)L.hasOwnProperty(R)&&(B[R]=L[R])},w(k,S)};return function(k,S){w(k,S);function B(){this.constructor=k}k.prototype=S===null?Object.create(S):(B.prototype=S.prototype,new B)}}(),m;function C(w){m=w}var y=function(w){g(k,w);function k(S,B,L,R,q){var z=this,G={i18n:{count:"{shown}"}};return z=w.call(this,S,m.extend(G,B),L,R,q)||this,z}return k.prototype.updateRows=function(){var S=this.s.dtPane.rows({selected:!0}).data().toArray(),B;if(this.s.colOpts.options||this.s.customPaneSettings&&this.s.customPaneSettings.options){this._getComparisonRows();for(var L=this.s.dtPane.rows().toArray()[0],R=0;R<L.length;R++){var q=this.s.dtPane.row(L[R]),z=q.data();if(z!==void 0){if(z.shown===0){q.remove(),L=this.s.dtPane.rows().toArray()[0],R--;continue}for(var G=0,nt=S;G<nt.length;G++)if(B=nt[G],z.filter===B.filter){q.select(),S.splice(R,1),this.s.selections.push(z.filter);break}}}}else{if(!this.s.dt.page.info().serverSide){this._activePopulatePane(),this.s.rowData.binsShown={};for(var tt=0,et=this.s.dt.rows({search:"applied"}).indexes().toArray();tt<et.length;tt++){var wt=et[tt];this._updateShown(wt,this.s.dt.settings()[0],this.s.rowData.binsShown)}}this.s.dtPane.rows().remove();for(var St=0,Tt=this.s.rowData.arrayFilter;St<Tt.length;St++){var kt=Tt[St];if(kt.shown!==0)for(var Lt=this.addRow(kt.display,kt.filter,kt.sort,kt.type,void 0),Bt=0;Bt<S.length;Bt++){var $t=S[Bt];if($t.filter===kt.filter){Lt.select(),S.splice(Bt,1),this.s.selections.push(kt.filter);break}}}for(var Kt=0,D=S;Kt<D.length;Kt++){B=D[Kt];for(var ut=0,ot=this.s.rowData.arrayOriginal;ut<ot.length;ut++){var V=ot[ut];if(V.filter===B.filter){var j=this.addRow(V.display,V.filter,V.sort,V.type,void 0);j.select(),this.s.selections.push(V.filter)}}}}this.s.dtPane.draw(),this.s.dtPane.table().node().parentNode.scrollTop=this.s.scrollTop,this.s.dt.page.info().serverSide||this.s.dt.draw(!1)},k.prototype._activePopulatePane=function(){this.s.rowData.arrayFilter=[],this.s.rowData.bins={};var S=this.s.dt.settings()[0];if(!this.s.dt.page.info().serverSide)for(var B=0,L=this.s.dt.rows({search:"applied"}).indexes().toArray();B<L.length;B++){var R=L[B];this._populatePaneArray(R,this.s.rowData.arrayFilter,S)}},k.prototype._getComparisonRows=function(){var S=this.s.colOpts.options?this.s.colOpts.options:this.s.customPaneSettings&&this.s.customPaneSettings.options?this.s.customPaneSettings.options:void 0;if(S!==void 0){var B=this.s.dt.rows(),L=this.s.dt.rows({search:"applied"}),R=B.data().toArray(),q=L.data().toArray(),z=[];this.s.dtPane.clear(),this.s.indexes=[];for(var G=0,nt=S;G<nt.length;G++){var tt=nt[G],et=tt.label!==""?tt.label:this.emptyMessage(),wt={className:tt.className,display:et,filter:typeof tt.value=="function"?tt.value:[],shown:0,sort:et,total:0,type:et};if(typeof tt.value=="function"){for(var St=0;St<R.length;St++)tt.value.call(this.s.dt,R[St],B[0][St])&&wt.total++;for(var Tt=0;Tt<q.length;Tt++)tt.value.call(this.s.dt,q[Tt],L[0][Tt])&&wt.shown++;typeof wt.filter!="function"&&wt.filter.push(tt.filter)}z.push(this.addRow(wt.display,wt.filter,wt.sort,wt.type,wt.className,wt.total,wt.shown))}return z}},k.prototype._getMessage=function(S){return this.s.dt.i18n("searchPanes.count",this.c.i18n.count).replace(/{total}/g,S.total).replace(/{shown}/g,S.shown)},k.prototype._getShown=function(S){return this.s.rowData.binsShown&&this.s.rowData.binsShown[S]?this.s.rowData.binsShown[S]:0},k.prototype._shouldAddRow=function(S){return S.shown>0},k}(i),T=window&&window.__extends||function(){var w=function(k,S){return w=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(B,L){B.__proto__=L}||function(B,L){for(var R in L)L.hasOwnProperty(R)&&(B[R]=L[R])},w(k,S)};return function(k,S){w(k,S);function B(){this.constructor=k}k.prototype=S===null?Object.create(S):(B.prototype=S.prototype,new B)}}(),P;function c(w){P=w}var l=function(w){T(k,w);function k(S,B,L,R,q){var z=this,G={i18n:{count:"{total}",countFiltered:"{shown} ({total})"}};return z=w.call(this,S,P.extend(G,B),L,R,q)||this,z}return k.prototype._activePopulatePane=function(){this.s.rowData.arrayFilter=[],this.s.rowData.binsShown={};var S=this.s.dt.settings()[0];if(!this.s.dt.page.info().serverSide)for(var B=0,L=this.s.dt.rows({search:"applied"}).indexes().toArray();B<L.length;B++){var R=L[B];this._populatePaneArray(R,this.s.rowData.arrayFilter,S,this.s.rowData.binsShown)}},k.prototype._getMessage=function(S){var B=this.s.dt.i18n("searchPanes.count",this.c.i18n.count),L=this.s.dt.i18n("searchPanes.countFiltered",this.c.i18n.countFiltered);return(this.s.filteringActive?L:B).replace(/{total}/g,S.total).replace(/{shown}/g,S.shown)},k}(y),h,_;function F(w){h=w,_=w.fn.dataTable}var O=function(){function w(k,S,B,L){var R=this;if(B===void 0&&(B=!1),L===void 0&&(L=r),!_||!_.versionCheck||!_.versionCheck("1.10.0"))throw new Error("SearchPane requires DataTables 1.10 or newer");if(!_.select)throw new Error("SearchPane requires Select");var q=new _.Api(k);if(this.classes=h.extend(!0,{},w.classes),this.c=h.extend(!0,{},w.defaults,S),this.dom={clearAll:h('<button type="button"/>').addClass(this.classes.clearAll).html(q.i18n("searchPanes.clearMessage",this.c.i18n.clearMessage)),collapseAll:h('<button type="button"/>').addClass(this.classes.collapseAll).html(q.i18n("searchPanes.collapseMessage",this.c.i18n.collapseMessage)),container:h("<div/>").addClass(this.classes.panes).html(q.i18n("searchPanes.loadMessage",this.c.i18n.loadMessage)),emptyMessage:h("<div/>").addClass(this.classes.emptyMessage),panes:h("<div/>").addClass(this.classes.container),showAll:h('<button type="button"/>').addClass(this.classes.showAll).addClass(this.classes.disabledButton).attr("disabled","true").html(q.i18n("searchPanes.showMessage",this.c.i18n.showMessage)),title:h("<div/>").addClass(this.classes.title),titleRow:h("<div/>").addClass(this.classes.titleRow)},this.s={colOpts:[],dt:q,filterCount:0,minPaneWidth:260,page:0,paging:!1,pagingST:!1,paneClass:L,panes:[],selectionList:[],serverData:{},stateRead:!1,updating:!1},!q.settings()[0]._searchPanes){if(h(document).on("draw.dt",function(G){R.dom.container.find(G.target).length&&R._updateFilterCount()}),this._getState(),this.s.dt.page.info().serverSide){var z=this.s.dt.settings()[0];this.s.dt.on("preXhr.dtsps",function(G,nt,tt){if(z===nt){tt.searchPanes===void 0&&(tt.searchPanes={}),tt.searchPanes_null===void 0&&(tt.searchPanes_null={});for(var et,wt=0,St=R.s.selectionList;wt<St.length;wt++){var Tt=St[wt];et=R.s.dt.column(Tt.column).dataSrc(),tt.searchPanes[et]===void 0&&(tt.searchPanes[et]={}),tt.searchPanes_null[et]===void 0&&(tt.searchPanes_null[et]={});for(var kt=0;kt<Tt.rows.length;kt++)tt.searchPanes[et][kt]=Tt.rows[kt],tt.searchPanes[et][kt]===null?tt.searchPanes_null[et][kt]=!0:tt.searchPanes_null[et][kt]=!1}R.s.selectionList.length>0&&(tt.searchPanesLast=et),tt.searchPanes_options={cascade:R.c.cascadePanes,viewCount:R.c.viewCount,viewTotal:R.c.viewTotal}}})}return this._setXHR(),q.settings()[0]._searchPanes=this,this.s.dt.settings()[0]._bInitComplete||B?this._paneDeclare(q,k,S):q.one("preInit.dtsps",function(){R._paneDeclare(q,k,S)}),this}}return w.prototype.clearSelections=function(){for(var k,S=0,B=this.s.panes;S<B.length;S++)k=B[S],k.s.dtPane&&(k.s.scrollTop=k.s.dtPane.table().node().parentNode.scrollTop);var L=this.dom.container.find("."+this.classes.search.replace(/\s+/g,"."));L.each(function(){h(this).val("").trigger("input")}),this.s.selectionList=[];for(var R=[],q=0,z=this.s.panes;q<z.length;q++)k=z[q],k.s.dtPane&&R.push(k.clearPane());return R},w.prototype.getNode=function(){return this.dom.container},w.prototype.rebuild=function(k,S){k===void 0&&(k=!1),S===void 0&&(S=!1),this.dom.emptyMessage.detach(),k===!1&&this.dom.panes.empty();for(var B=[],L=0,R=this.s.panes;L<R.length;L++){var q=R[L];(k===!1||q.s.index===k)&&(q.clearData(),q.rebuildPane(this.s.dt.page.info().serverSide?this.s.serverData:void 0,S),this.dom.panes.append(q.dom.container),B.push(q))}return this._updateSelection(),this._updateFilterCount(),this._attachPaneContainer(),this._initSelectionListeners(!1),this.s.dt.draw(!S),this.resizePanes(),B.length===1?B[0]:B},w.prototype.resizePanes=function(){var k;if(this.c.layout==="auto"){for(var S=h(this.s.dt.searchPanes.container()).width(),B=Math.floor(S/this.s.minPaneWidth),L=1,R=0,q=[],z=0,G=this.s.panes;z<G.length;z++)k=G[z],k.s.displayed&&q.push(k.s.index);var nt=q.length;if(B===nt)L=B;else for(var tt=B;tt>1;tt--){var et=nt%tt;if(et===0){L=tt,R=0;break}else et>R&&(L=tt,R=et)}var wt=R!==0?q.slice(q.length-R,q.length):[];this.s.panes.forEach(function(kt){kt.s.displayed&&kt.resize("columns-"+(wt.includes(kt.s.index)?R:L))})}else for(var St=0,Tt=this.s.panes;St<Tt.length;St++)k=Tt[St],k.adjustTopRow();return this},w.prototype._initSelectionListeners=function(k){},w.prototype._serverTotals=function(){},w.prototype._setXHR=function(){var k=this,S=this.s.dt.settings()[0],B=function(L){L&&L.searchPanes&&L.searchPanes.options&&(k.s.serverData=L,k.s.serverData.tableLength=L.recordsTotal,k._serverTotals())};this.s.dt.on("xhr.dtsps",function(L,R,q){S===R&&B(q)}),B(this.s.dt.ajax.json())},w.prototype._stateLoadListener=function(){var k=this,S=this.s.dt.settings()[0];this.s.dt.on("stateLoadParams.dtsps",function(B,L,R){if(!(R.searchPanes===void 0||L!==S)){if(k.clearSelections(),k.s.selectionList=R.searchPanes.selectionList?R.searchPanes.selectionList:[],R.searchPanes.panes)for(var q=0,z=R.searchPanes.panes;q<z.length;q++)for(var G=z[q],nt=0,tt=k.s.panes;nt<tt.length;nt++){var et=tt[nt];G.id===et.s.index&&et.s.dtPane&&(et.dom.searchBox.val(G.searchTerm),et.s.dtPane.order(G.order))}k._makeSelections(k.s.selectionList)}})},w.prototype._updateSelection=function(){this.s.selectionList=[];for(var k=0,S=this.s.panes;k<S.length;k++){var B=S[k];if(B.s.dtPane){var L=B.s.dtPane.rows({selected:!0}).data().toArray().map(function(R){return R.filter});L.length&&this.s.selectionList.push({column:B.s.index,rows:L})}}},w.prototype._attach=function(){var k=this;this.dom.titleRow.removeClass(this.classes.hide).detach().append(this.dom.title),this.c.clear&&this.dom.clearAll.appendTo(this.dom.titleRow).off("click.dtsps").on("click.dtsps",function(){return k.clearSelections()}),this.c.collapse&&(this.dom.showAll.appendTo(this.dom.titleRow),this.dom.collapseAll.appendTo(this.dom.titleRow),this._setCollapseListener());for(var S=0,B=this.s.panes;S<B.length;S++){var L=B[S];this.dom.panes.append(L.dom.container)}this.dom.container.text("").removeClass(this.classes.hide).append(this.dom.titleRow).append(this.dom.panes),this.s.panes.forEach(function(R){return R.setListeners()}),h("div."+this.classes.container).length===0&&this.dom.container.prependTo(this.s.dt)},w.prototype._attachMessage=function(){var k;try{k=this.s.dt.i18n("searchPanes.emptyPanes",this.c.i18n.emptyPanes)}catch{k=null}if(k===null){this.dom.container.addClass(this.classes.hide),this.dom.titleRow.removeClass(this.classes.hide);return}this.dom.container.removeClass(this.classes.hide),this.dom.titleRow.addClass(this.classes.hide),this.dom.emptyMessage.html(k).appendTo(this.dom.container)},w.prototype._attachPaneContainer=function(){for(var k=0,S=this.s.panes;k<S.length;k++){var B=S[k];if(B.s.displayed===!0){this._attach();return}}this._attachMessage()},w.prototype._checkCollapse=function(){for(var k=!0,S=!0,B=0,L=this.s.panes;B<L.length;B++){var R=L[B];R.s.displayed&&(R.dom.collapseButton.hasClass(R.classes.rotated)?(this.dom.showAll.removeClass(this.classes.disabledButton).removeAttr("disabled"),S=!1):(this.dom.collapseAll.removeClass(this.classes.disabledButton).removeAttr("disabled"),k=!1))}k&&this.dom.collapseAll.addClass(this.classes.disabledButton).attr("disabled","true"),S&&this.dom.showAll.addClass(this.classes.disabledButton).attr("disabled","true")},w.prototype._checkMessage=function(){for(var k=0,S=this.s.panes;k<S.length;k++){var B=S[k];if(B.s.displayed===!0){this.dom.emptyMessage.detach(),this.dom.titleRow.removeClass(this.classes.hide);return}}this._attachMessage()},w.prototype._collapseAll=function(){for(var k=0,S=this.s.panes;k<S.length;k++){var B=S[k];B.collapse()}},w.prototype._findPane=function(k){for(var S=0,B=this.s.panes;S<B.length;S++){var L=B[S];if(k===L.s.name)return L}},w.prototype._getState=function(){var k=this.s.dt.state.loaded();k&&k.searchPanes&&k.searchPanes.selectionList&&(this.s.selectionList=k.searchPanes.selectionList)},w.prototype._makeSelections=function(k){for(var S=0,B=k;S<B.length;S++){for(var L=B[S],R=void 0,q=0,z=this.s.panes;q<z.length;q++){var G=z[q];if(G.s.index===L.column){R=G;break}}if(R&&R.s.dtPane){for(var nt=0;nt<R.s.dtPane.rows().data().toArray().length;nt++)L.rows.includes(typeof R.s.dtPane.row(nt).data().filter=="function"?R.s.dtPane.cell(nt,0).data():R.s.dtPane.row(nt).data().filter)&&R.s.dtPane.row(nt).select();R.updateTable()}}},w.prototype._paneDeclare=function(k,S,B){var L=this;k.columns(this.c.columns.length>0?this.c.columns:void 0).eq(0).each(function(G){L.s.panes.push(new L.s.paneClass(S,B,G,L.dom.panes))});for(var R=k.columns().eq(0).toArray().length,q=0;q<this.c.panes.length;q++){var z=R+q;this.s.panes.push(new this.s.paneClass(S,B,z,this.dom.panes,this.c.panes[q]))}this.c.order.length>0&&(this.s.panes=this.c.order.map(function(G){return L._findPane(G)})),this.s.dt.settings()[0]._bInitComplete?this._startup(k):_.versionCheck("2")?this.s.dt.settings()[0].aoInitComplete.push(function(){return L._startup(k)}):this.s.dt.settings()[0].aoInitComplete.push({fn:function(){return L._startup(k)}})},w.prototype._setCollapseListener=function(){var k=this;this.dom.collapseAll.off("click.dtsps").on("click.dtsps",function(){k._collapseAll(),k.dom.collapseAll.addClass(k.classes.disabledButton).attr("disabled","true"),k.dom.showAll.removeClass(k.classes.disabledButton).removeAttr("disabled"),k.s.dt.state.save()}),this.dom.showAll.off("click.dtsps").on("click.dtsps",function(){k._showAll(),k.dom.showAll.addClass(k.classes.disabledButton).attr("disabled","true"),k.dom.collapseAll.removeClass(k.classes.disabledButton).removeAttr("disabled"),k.s.dt.state.save()});for(var S=0,B=this.s.panes;S<B.length;S++){var L=B[S];L.dom.topRow.off("collapse.dtsps").on("collapse.dtsps",function(){return k._checkCollapse()})}this._checkCollapse()},w.prototype._showAll=function(){for(var k=0,S=this.s.panes;k<S.length;k++){var B=S[k];B.show()}},w.prototype._startup=function(k){var S=this;this._attach(),this.dom.panes.empty();for(var B=this.s.dt.settings()[0],L=0,R=this.s.panes;L<R.length;L++){var q=R[L];q.rebuildPane(Object.keys(this.s.serverData).length>0?this.s.serverData:void 0),this.dom.panes.append(q.dom.container)}this.c.layout==="auto"&&this.resizePanes();var z=this.s.dt.state.loaded();!this.s.stateRead&&z&&this.s.dt.page(z.start/this.s.dt.page.len()).draw("page"),this.s.stateRead=!0,this._checkMessage(),k.on("preDraw.dtsps",function(){!S.s.updating&&!S.s.paging&&(S._updateFilterCount(),S._updateSelection()),S.s.paging=!1}),h(window).on("resize.dtsps",_.util.throttle(function(){return S.resizePanes()})),this.s.dt.on("stateSaveParams.dtsps",function(nt,tt,et){tt===B&&(et.searchPanes===void 0&&(et.searchPanes={}),et.searchPanes.selectionList=S.s.selectionList)}),this._stateLoadListener(),k.off("page.dtsps page-nc.dtsps").on("page.dtsps page-nc.dtsps",function(nt,tt){S.s.paging=!0,S.s.pagingST=!0,S.s.page=S.s.dt.page()}),this.s.dt.page.info().serverSide?k.off("preXhr.dtsps").on("preXhr.dtsps",function(nt,tt,et){if(tt===B){et.searchPanes||(et.searchPanes={}),et.searchPanes_null||(et.searchPanes_null={});for(var wt=0,St=0,Tt=S.s.panes;St<Tt.length;St++){var kt=Tt[St],Lt=S.s.dt.column(kt.s.index).dataSrc();if(et.searchPanes[Lt]||(et.searchPanes[Lt]={}),et.searchPanes_null[Lt]||(et.searchPanes_null[Lt]={}),kt.s.dtPane)for(var Bt=kt.s.dtPane.rows({selected:!0}).data().toArray(),$t=0;$t<Bt.length;$t++)et.searchPanes[Lt][$t]=Bt[$t].filter,et.searchPanes[Lt][$t]?et.searchPanes_null[Lt][$t]=!1:et.searchPanes_null[Lt][$t]=!0,wt++}wt>0&&(wt!==S.s.filterCount?(et.start=0,S.s.page=0):et.start=S.s.page*S.s.dt.page.len(),S.s.dt.page(S.s.page),S.s.filterCount=wt),S.s.selectionList.length>0&&(et.searchPanesLast=S.s.dt.column(S.s.selectionList[S.s.selectionList.length-1].column).dataSrc()),et.searchPanes_options={cascade:S.c.cascadePanes,viewCount:S.c.viewCount,viewTotal:S.c.viewTotal}}}):k.on("preXhr.dtsps",function(){return S.s.panes.forEach(function(nt){return nt.clearData()})}),this.s.dt.on("xhr.dtsps",function(nt,tt){if(tt.nTable===S.s.dt.table().node()&&!S.s.dt.page.info().serverSide){var et=!1;S.s.dt.one("preDraw.dtsps",function(){if(!et){var wt=S.s.dt.page();et=!0,S.s.updating=!0,S.dom.panes.empty();for(var St=0,Tt=S.s.panes;St<Tt.length;St++){var kt=Tt[St];kt.clearData(),kt.rebuildPane(void 0,!0),S.dom.panes.append(kt.dom.container)}S.s.dt.page.info().serverSide||S.s.dt.draw(),S.s.updating=!1,S._updateSelection(),S._checkMessage(),S.s.dt.one("draw.dtsps",function(){S.s.updating=!0,S.s.dt.page(wt).draw(!1),S.s.updating=!1})}})}});var G=this.c.preSelect;z&&z.searchPanes&&z.searchPanes.selectionList&&(G=z.searchPanes.selectionList),this._makeSelections(G),this._updateFilterCount(),k.on("destroy.dtsps",function(nt,tt){if(tt===B){for(var et=0,wt=S.s.panes;et<wt.length;et++){var St=wt[et];St.destroy()}k.off(".dtsps"),S.dom.showAll.off(".dtsps"),S.dom.clearAll.off(".dtsps"),S.dom.collapseAll.off(".dtsps"),h(k.table().node()).off(".dtsps"),S.dom.container.detach(),S.clearSelections()}}),this.c.collapse&&this._setCollapseListener(),this.c.clear&&this.dom.clearAll.off("click.dtsps").on("click.dtsps",function(){return S.clearSelections()}),B._searchPanes=this,this.s.dt.state.save()},w.prototype._updateFilterCount=function(){for(var k=0,S=0,B=0,L=this.s.panes;B<L.length;B++){var R=L[B];R.s.dtPane&&(k+=R.getPaneCount(),R.s.dtPane.search()&&S++)}this.dom.title.html(this.s.dt.i18n("searchPanes.title",this.c.i18n.title,k)),this.c.filterChanged&&typeof this.c.filterChanged=="function"&&this.c.filterChanged.call(this.s.dt,k),k===0&&S===0?this.dom.clearAll.addClass(this.classes.disabledButton).attr("disabled","true"):this.dom.clearAll.removeClass(this.classes.disabledButton).removeAttr("disabled")},w.version="2.3.2",w.classes={clear:"dtsp-clear",clearAll:"dtsp-clearAll",collapseAll:"dtsp-collapseAll",container:"dtsp-searchPanes",disabledButton:"dtsp-disabledButton",emptyMessage:"dtsp-emptyMessage",hide:"dtsp-hidden",panes:"dtsp-panesContainer",search:"dtsp-search",showAll:"dtsp-showAll",title:"dtsp-title",titleRow:"dtsp-titleRow"},w.defaults={cascadePanes:!1,clear:!0,collapse:!0,columns:[],container:function(k){return k.table().container()},filterChanged:void 0,i18n:{clearMessage:"Clear All",clearPane:"&times;",collapse:{0:"SearchPanes",_:"SearchPanes (%d)"},collapseMessage:"Collapse All",count:"{total}",emptyMessage:"<em>No data</em>",emptyPanes:"No SearchPanes",loadMessage:"Loading Search Panes...",showMessage:"Show All",title:"Filters Active - %d"},layout:"auto",order:[],panes:[],preSelect:[],viewCount:!0,viewTotal:!1},w}(),f=window&&window.__extends||function(){var w=function(k,S){return w=Object.setPrototypeOf||{__proto__:[]}instanceof Array&&function(B,L){B.__proto__=L}||function(B,L){for(var R in L)L.hasOwnProperty(R)&&(B[R]=L[R])},w(k,S)};return function(k,S){w(k,S);function B(){this.constructor=k}k.prototype=S===null?Object.create(S):(B.prototype=S.prototype,new B)}}(),U=function(w){f(k,w);function k(S,B,L){L===void 0&&(L=!1);var R=this,q;B.cascadePanes&&B.viewTotal?q=l:B.cascadePanes?q=y:B.viewTotal&&(q=b),R=w.call(this,S,B,L,q)||this;var z=R.s.dt,G=z.state.loaded(),nt=function(){return R._initSelectionListeners(!0,G&&G.searchPanes&&G.searchPanes.selectionList?G.searchPanes.selectionList:R.c.preSelect)};return z.settings()[0]._bInitComplete?nt():z.off("init.dtsps").on("init.dtsps",nt),R}return k.prototype._initSelectionListeners=function(S,B){S===void 0&&(S=!0),B===void 0&&(B=[]),S&&(this.s.selectionList=B);for(var L=0,R=this.s.panes;L<R.length;L++){var q=R[L];q.s.displayed&&q.s.dtPane.off("select.dtsp").on("select.dtsp",this._update(q)).off("deselect.dtsp").on("deselect.dtsp",this._updateTimeout(q))}this.s.dt.off("draw.dtsps").on("draw.dtsps",this._update()),this._updateSelectionList()},k.prototype._serverTotals=function(){for(var S=0,B=this.s.panes;S<B.length;S++){var L=B[S];if(L.s.colOpts.show){var R=this.s.dt.column(L.s.index).dataSrc(),q=!0;if(this.s.serverData.searchPanes.options[R])for(var z=0,G=this.s.serverData.searchPanes.options[R];z<G.length;z++){var nt=G[z];if(nt.total!==nt.count){q=!1;break}}L.s.filteringActive=!q,L._serverPopulate(this.s.serverData)}}},k.prototype._stateLoadListener=function(){var S=this,B=function(L,R,q){if(q.searchPanes!==void 0){if(S.s.selectionList=q.searchPanes.selectionList?q.searchPanes.selectionList:[],q.searchPanes.panes)for(var z=0,G=q.searchPanes.panes;z<G.length;z++)for(var nt=G[z],tt=0,et=S.s.panes;tt<et.length;tt++){var wt=et[tt];nt.id===wt.s.index&&wt.s.dtPane&&(wt.dom.searchBox.val(nt.searchTerm),wt.s.dtPane.order(nt.order))}S._updateSelectionList()}};this.s.dt.off("stateLoadParams.dtsps",B).on("stateLoadParams.dtsps",B)},k.prototype._updateSelection=function(){},k.prototype._update=function(S){var B=this;return S===void 0&&(S=void 0),function(){S&&clearTimeout(S.s.deselectTimeout),B._updateSelectionList(S)}},k.prototype._updateTimeout=function(S){var B=this;return S===void 0&&(S=void 0),function(){return S?S.s.deselectTimeout=setTimeout(function(){return B._updateSelectionList(S)},50):B._updateSelectionList()}},k.prototype._updateSelectionList=function(S){if(S===void 0&&(S=void 0),this.s.pagingST){this.s.pagingST=!1;return}else if(this.s.updating||S&&S.s.serverSelecting)return;if(S!==void 0){this.s.dt.page.info().serverSide&&S._updateSelection();var B=S.s.dtPane.rows({selected:!0}).data().toArray().map(function(L){return L.filter});this.s.selectionList=this.s.selectionList.filter(function(L){return L.column!==S.s.index}),B.length>0?(this.s.selectionList.push({column:S.s.index,rows:B}),S.dom.clear.removeClass(this.classes.disabledButton).removeAttr("disabled")):S.dom.clear.addClass(this.classes.disabledButton).attr("disabled","true"),this.s.dt.page.info().serverSide&&this.s.dt.draw(!1)}this._remakeSelections(),this._updateFilterCount()},k.prototype._remakeSelections=function(){var S,B;if(this.s.updating=!0,this.s.dt.page.info().serverSide){this.s.selectionList.length>0&&(B=this.s.panes[this.s.selectionList[this.s.selectionList.length-1].column]);for(var Ct=0,xt=this.s.panes;Ct<xt.length;Ct++)S=xt[Ct],S.s.displayed&&(!B||S.s.index!==B.s.index)&&S.updateRows()}else{var L=this.s.selectionList,R=!1;this.clearSelections(),this.s.dt.draw(!1),this.s.dt.rows().toArray()[0].length>this.s.dt.rows({search:"applied"}).toArray()[0].length&&(R=!0),this.s.selectionList=L;for(var q=0,z=this.s.panes;q<z.length;q++)B=z[q],B.s.displayed&&(B.s.filteringActive=R,B.updateRows());for(var G=0,nt=this.s.selectionList;G<nt.length;G++){var tt=nt[G];B=null;for(var et=0,wt=this.s.panes;et<wt.length;et++){var St=wt[et];if(St.s.index===tt.column){B=St;break}}if(B.s.dtPane){for(var Tt=B.s.dtPane.rows().indexes().toArray(),kt=0;kt<tt.rows.length;kt++){for(var Lt=!1,Bt=0,$t=Tt;Bt<$t.length;Bt++){var Kt=$t[Bt],D=B.s.dtPane.row(Kt),ut=D.data();tt.rows[kt]===ut.filter&&(D.select(),Lt=!0)}Lt||(tt.rows.splice(kt,1),kt--)}if(B.s.selections=tt.rows,tt.rows.length!==0){this.s.dt.draw();for(var ot=!1,V=0,j=0,K=0,pt=0,vt=this.s.panes;pt<vt.length;pt++)S=vt[pt],S.s.dtPane&&(V+=S.getPaneCount(),V>j&&(K++,j=V));ot=V>0;for(var rt=0,gt=this.s.panes;rt<gt.length;rt++)S=gt[rt],S.s.displayed&&(R||B.s.index!==S.s.index||!ot?S.s.filteringActive=ot||R:K===1&&(S.s.filteringActive=!1),S.s.index!==B.s.index&&S.updateRows())}}}this.s.dt.draw(!1)}this.s.updating=!1},k}(O);n(Ze),F(Ze),p(Ze),C(Ze),c(Ze);var X=Ze.fn.dataTable;X.SearchPanes=O,at.SearchPanes=O,X.SearchPanesST=U,at.SearchPanesST=U,X.SearchPane=r,at.SearchPane=r,X.SearchPaneViewTotal=b,at.SearchPaneViewTotal=b,X.SearchPaneCascade=y,at.SearchPaneCascade=y,X.SearchPaneCascadeViewTotal=l,at.SearchPaneCascadeViewTotal=l;var Q=Ze.fn.dataTable.Api.register;Q("searchPanes()",function(){return this}),Q("searchPanes.clearSelections()",function(){return this.iterator("table",function(w){w._searchPanes&&w._searchPanes.clearSelections()})}),Q("searchPanes.rebuildPane()",function(w,k){return this.iterator("table",function(S){S._searchPanes&&S._searchPanes.rebuild(w,k)})}),Q("searchPanes.resizePanes()",function(){var w=this.context[0];return w._searchPanes?w._searchPanes.resizePanes():null}),Q("searchPanes.container()",function(){var w=this.context[0];return w._searchPanes?w._searchPanes.getNode():null}),at.ext.buttons.searchPanesClear={action:function(w,k){k.searchPanes.clearSelections()},text:"Clear Panes"},at.ext.buttons.searchPanes={action:function(w,k,S,B){var L=this,R=this;B._panes?(this.popover(B._panes.getNode(),{align:"container",span:"container"}),B._panes.rebuild(void 0,!0)):(this.processing(!0),setTimeout(function(){E(k,S,B),L.popover(B._panes.getNode(),{align:"container",span:"container"}),B._panes.rebuild(void 0,!0),Ze("table.dataTable",B._panes.getNode()).DataTable().columns.adjust(),R.processing(!1)},10))},init:function(w,k,S){w.button(k).text(S.text||w.i18n("searchPanes.collapse","SearchPanes",0)),(w.init().stateSave||S.delayInit===!1)&&E(w,k,S)},config:{},text:"",delayInit:!0};function E(w,k,S){var B=Ze.extend({filterChanged:function(R){w.button(k).text(w.i18n("searchPanes.collapse",w.context[0].oLanguage.searchPanes!==void 0?w.context[0].oLanguage.searchPanes.collapse:w.context[0]._searchPanes.c.i18n.collapse,R))}},S.config),L=B&&(B.cascadePanes||B.viewTotal)?new at.SearchPanesST(w,B):new at.SearchPanes(w,B);w.button(k).text(S.text||w.i18n("searchPanes.collapse",L.c.i18n.collapse,0)),S._panes=L}function $(w,k,S){k===void 0&&(k=null),S===void 0&&(S=!1);var B=new X.Api(w),L=k||B.init().searchPanes||X.defaults.searchPanes,R=L&&(L.cascadePanes||L.viewTotal)?new U(B,L,S):new O(B,L,S),q=R.getNode();return q}Ze(document).on("preInit.dt.dtsp",function(w,k){w.namespace==="dt"&&(k.oInit.searchPanes||at.defaults.searchPanes)&&(k._searchPanes||$(k,null,!0))}),at.ext.feature.push({cFeature:"P",fnInit:$}),at.feature&&at.feature.register("searchPanes",$)})();var dd=ie(ae(),1);var eo=ie(ae(),1);var Et=eo.default;at.select={};at.select.classes={checkbox:"dt-select-checkbox"};at.select.version="2.0.5";at.select.init=function(t){var e=t.settings()[0];if(!at.versionCheck("2"))throw"Warning: Select requires DataTables 2 or newer";if(!e._select){var n=t.state.loaded(),r=function(c,l,h){if(!(h===null||h.select===void 0)){if(t.rows({selected:!0}).any()&&t.rows().deselect(),h.select.rows!==void 0&&t.rows(h.select.rows).select(),t.columns({selected:!0}).any()&&t.columns().deselect(),h.select.columns!==void 0&&t.columns(h.select.columns).select(),t.cells({selected:!0}).any()&&t.cells().deselect(),h.select.cells!==void 0)for(var _=0;_<h.select.cells.length;_++)t.cell(h.select.cells[_].row,h.select.cells[_].column).select();t.state.save()}};t.on("stateSaveParams",function(c,l,h){h.select={},h.select.rows=t.rows({selected:!0}).ids(!0).toArray(),h.select.columns=t.columns({selected:!0})[0],h.select.cells=t.cells({selected:!0})[0].map(function(_){return{row:t.row(_.row).id(!0),column:_.column}})}).on("stateLoadParams",r).one("init",function(){r(void 0,void 0,n)});var s=e.oInit.select,i=at.defaults.select,o=s===void 0?i:s,u="row",p="api",b=!1,g=!0,m=!0,C="td, th",y="selected",T=!0,P=!1;e._select={infoEls:[]},o===!0?(p="os",P=!0):typeof o=="string"?(p=o,P=!0):Et.isPlainObject(o)&&(o.blurable!==void 0&&(b=o.blurable),o.toggleable!==void 0&&(g=o.toggleable),o.info!==void 0&&(m=o.info),o.items!==void 0&&(u=o.items),o.style!==void 0?(p=o.style,P=!0):(p="os",P=!0),o.selector!==void 0&&(C=o.selector),o.className!==void 0&&(y=o.className),o.headerCheckbox!==void 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     "text": [
      "/Users/davidbrazda/Library/Application Support/v2realbot\n",
      "trades_df-BAC-2024-01-01T09_30_00-2024-05-14T16_00_00-CO4B7VPWUZF-100.parquet\n",
      "trades_df-BAC-2024-01-11T09:30:00-2024-01-12T16:00:00.parquet\n",
      "trades_df-SPY-2024-01-01T09:30:00-2024-05-14T16:00:00.parquet\n",
      "trades_df-BAC-2023-01-01T09_30_00-2024-05-25T16_00_00-47BCFOPUVWZ-100.parquet\n",
      "ohlcv_df-BAC-2024-01-11T09:30:00-2024-01-12T16:00:00.parquet\n",
      "trades_df-BAC-2024-05-15T09_30_00-2024-05-25T16_00_00-47BCFOPUVWZ-100.parquet\n",
      "ohlcv_df-BAC-2024-01-01T09_30_00-2024-05-25T16_00_00-47BCFOPUVWZ-100.parquet\n",
      "ohlcv_df-SPY-2024-01-01T09:30:00-2024-05-14T16:00:00.parquet\n",
      "ohlcv_df-BAC-2024-01-01T09_30_00-2024-05-14T16_00_00-CO4B7VPWUZF-100.parquet\n",
      "ohlcv_df-BAC-2023-01-01T09_30_00-2024-05-25T16_00_00-47BCFOPUVWZ-100.parquet\n",
      "ohlcv_df-BAC-2023-01-01T09_30_00-2024-05-25T15_30_00-47BCFOPUVWZ-100.parquet\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "from itables import init_notebook_mode, show\n",
    "import datetime\n",
    "from itertools import product\n",
    "from appdirs import user_data_dir\n",
    "import os\n",
    "\n",
    "init_notebook_mode(all_interactive=True)\n",
    "\n",
    "#LOAD FROM PARQUET\n",
    "DATA_DIR = user_data_dir(\"v2realbot\", False)\n",
    "dir = DATA_DIR + \"/notebooks/\" #my local cache dir\n",
    "print(DATA_DIR)\n",
    "files = [f for f in os.listdir(dir) if f.endswith(\".parquet\")]\n",
    "print('\\n'.join(map(str, files)))\n",
    "file_name = \"ohlcv_df-BAC-2023-01-01T09_30_00-2024-05-25T15_30_00-47BCFOPUVWZ-100.parquet\"\n",
    "ohlcv_df = pd.read_parquet(dir+file_name,engine='pyarrow')\n",
    "#filter ohlcv_df to certain date range (assuming datetime index)\n",
    "ohlcv_df = ohlcv_df.loc[\"2024-02-12 9:30\":\"2024-02-18 16:00\"]\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Resampling\n",
    "This is resampling of 1s data above to lower resolution if necessary."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "#resample settings for custom columns\n",
    "from vectorbtpro.utils.config import merge_dicts, Config, HybridConfig\n",
    "from vectorbtpro import _typing as tp\n",
    "from vectorbtpro.generic import nb as generic_nb\n",
    "\n",
    "_feature_config: tp.ClassVar[Config] = HybridConfig(\n",
    "    {\n",
    "        \"buyvolume\": dict(\n",
    "            resample_func=lambda self, obj, resampler: obj.vbt.resample_apply(\n",
    "                resampler,\n",
    "                generic_nb.sum_reduce_nb,\n",
    "            )\n",
    "        ),\n",
    "        \"sellvolume\": dict(\n",
    "            resample_func=lambda self, obj, resampler: obj.vbt.resample_apply(\n",
    "                resampler,\n",
    "                generic_nb.sum_reduce_nb,\n",
    "            )\n",
    "        ),\n",
    "        \"trades\": dict(\n",
    "            resample_func=lambda self, obj, resampler: obj.vbt.resample_apply(\n",
    "                resampler,\n",
    "                generic_nb.sum_reduce_nb,\n",
    "            )\n",
    "        )\n",
    "    }\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None\n",
      "Loaded env variables from file None\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">Activating profile profile1\n",
       "</pre>\n"
      ],
      "text/plain": [
       "Activating profile profile1\n"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#resampling to lower res\n",
    "import vectorbtpro as vbt\n",
    "from v2realbot.utils.utils import zoneNY\n",
    "vbt.settings.set_theme(\"dark\")\n",
    "vbt.settings['plotting']['layout']['width'] = 1280\n",
    "vbt.settings.plotting.auto_rangebreaks = True\n",
    "basic_data = vbt.Data.from_data(vbt.symbol_dict({\"BAC\": ohlcv_df}), tz_convert=zoneNY)\n",
    "\n",
    "basic_data._feature_config = _feature_config\n",
    "\n",
    "sec_data = basic_data.data[\"BAC\"]\n",
    "\n",
    "t1data = basic_data[['open', 'high', 'low', 'close', 'volume','vwap','trades']].resample(\"1T\")\n",
    "t1data = t1data.transform(lambda df: df.between_time('09:30', '16:00').dropna())\n",
    "\n",
    "\n",
    "m30data  = basic_data[['open', 'high', 'low', 'close', 'volume','vwap','trades']].resample(\"30T\")\n",
    "m30data = m30data.transform(lambda df: df.between_time('09:30', '16:00').dropna())\n",
    "#m30data.data[\"BAC\"].info()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import stumpy\n",
    "# The length of the motif\n",
    "m = 20\n",
    "\n",
    "#lets use 1min data first\n",
    "#apply differencing, either absolute .diff() or relative .pct_change() to make data stationary\n",
    "#first value becomes na - drop it\n",
    "timeseries_sr = t1data.get('vwap').diff().dropna()\n",
    "\n",
    "#for stationary data, we can use just stump\n",
    "matrix_profile = stumpy.stump(timeseries_sr.values.T, m)\n",
    "\n",
    "#timeseries_sr\n",
    "     "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Result is NumPy array with 4 columns:\n",
    "- `Matrix Profile` - distance between each subsequence and nearest neighbor.\n",
    "- `Matrix Profile Index`- the index of the nearest neighbor for each subsequence, indicating where the closest match to the subsequence occurs in the time series.\n",
    "- `Left Matrix Profile Index` - the nearest neighbor when looking for matches to the left (earlier in the time series). Useful when analyzing directional dependencies or patterns in time series.\n",
    "- `Right Matrix Profile Index` - the index of the nearest neighbor when looking for matches to the right (later in the time series).\n",
    "\n",
    "Then we use motifs method to get 4 most promiment motifs and 5 closest neihbors for each \n",
    "\n",
    "TBD explore anomanly detection (#discord_distances, discord_indices = discords(time_series, mp[:, 0], k=3))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from stumpy import motifs\n",
    "\n",
    "#get 4 most prominent motifs\n",
    "motif_distances, motif_indices = motifs(timeseries_sr, matrix_profile[:, 0], max_motifs=4, min_neighbors=5)\n",
    "\n",
    "#motif_distances\n",
    "#motif_indices"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The we can visualize these first as Overlay and then on the whole timeseries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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H3/3ud0mlUnz1q1897mtEIhGam5t5xzvewbnnnksgEOChhx7i2Wef5Z/+6Z/mfexCCCGEEGL2JEQXQgghhBCnLF3X+cUvfsHnP/95fvKTn/D973+fFStWcPvtt/OpT32qZNt//ud/5s///M/53Oc+RyKR4KabblqQEH1kZIS/+7u/KxnLh5ttbW0zBspVVVX86le/4lOf+hSf+9znqKio4P3vfz9XXXVVoYJ6rnw+Hw8//DAf//jH+cY3voHP5+N973sf1113Hddee+289vn5z3+ew4cP89WvfpVIJMLll1/O6173Om6++WZ+8Ytf8MADD5BKpWhra+MLX/gCn/70p+f1OuXl5XziE58oCaHz3vve99LY2Mg//uM/cvvtt5NKpWhqauLSSy/lQx/60Iz7/dGPfkR9fT3//u//zs9//nNe//rX85Of/IS1a9fi8XjmdawAl19+ORdeeCG33XYbR44cYf369fzgBz/gnHPOKWyzYcMG/vCHP/C3f/u3fPnLX8ayLLZu3cq//du/zerfn8/n46Mf/SgPPPAAP/vZz7Asi/b2dr71rW/xl3/5l/M+diGEEEIIMXuaWqpZiIQQQgghhBBiiezcuZPNmzfzb//2b7zvfe9b6sMRQgghhBDLmPREF0IIIYQQQpzWEonEpLE77rgDXddLJnQVQgghhBBiKtLORQghhBBCCHFa++pXv8rzzz/PlVdeicPh4De/+Q2/+c1v+PM//3NaWlqW+vCEEEIIIcQyJ+1chBBCCCGEEKe1Bx98kNtuu41XXnmFaDRKa2srH/jAB/jsZz+LwyF1RUIIIYQQYmYSogshhBBCCCGEEEIIIYQQ05Ce6EIIIYQQQgghhBBCCCHENCREF0IIIYQQQgghhBBCCCGmIQ0AF4BlWfT09BAMBtE0bakPRwghhBBCCCGEEEIIIcRxKKWIRCI0Njai69PXm0uIvgB6enpoaWlZ6sMQQgghhBBCCCGEEEIIMUddXV00NzdP+7iE6AsgGAwC9jc7FAot8dEIIYQQQgghhBBCCCGEOJ5wOExLS0sh352OhOgLIN/CJRQKSYguhBBCCCGEEEIIIYQQp5DjteiWiUWFEEIIIYQQQgghhBBCiGlIiC6EEEIIIYQQQgghhBBCTENCdCGEEEIIIYQQQgghhBBiGhKiCyGEEEIIIYQQQgghhBDTkBBdCCGEEEIIIYQQQgghhJiGhOhCCCGEEEIIIYQQQgghxDQkRBdCCCGEEEIIIYQQQgghpiEhuhBCCCGEEEIIIYQQQggxDQnRhRBCCCGEEEIIIYQQQohpSIguhBBCCCGEEEIIIYQQQkxDQnQhhBBCCCGEEEIIIYQQYhoSogshhBBCCCGEEEIIIYQQ05AQXQghhBBCCCGEEEIIIYSYhoToQgghhBBCCCGEEEIIIcQ0JEQXQgghhBBCCCGEEEIIIabhWOoDEEIIIYQQQgghxDyYWTj6DOz/nX2/7SJo2Qou/9IelxBCCHGakRBdCCGEEEIIIYQ4lSTHoPNh2PcgJIbHx3tfgmf/LzRtgRWXQeMmMJxLdphCCCHE6UJCdCGEEEIIIYQQ4lQwfBD2/hYOPQ5W1h5zh2DN1WC44ODvIdwNXc/YN5cfWi+EFZdCzVrQtKU9fiGEEOIUJSG6EEIIIYQQQgixXFkmHH0O9v4G+nePj1eugrXX2SF5vtp8/Vtg5JAdsh/+IyRGoPMh++avtsP0FZdAWfOSfClCCCHEqUpTSqmlPohTXTgcpqysjLGxMUKh0FIfjhBCCCGEEKeVwcQgffE+Qs4QZZ4ygs4gmlTUitNdKgL7H4G990N80B7TdLvn+drroXrNzJXllgX9u+DgH6Dracgmxx+rWGmH6W0Xga/y5H4dQgghxDI221xXQvQFICG6EEIIIYQQC2sgPsD2/u3s6N/B0cjRksd0TSfkClHmLqPcXU6Zu4yQO0S5u9y+7yqjzF2G1+GVsF2ceka77JYtBx8DM2OPuQJ2y5b2q8FfNfd9ZtPQ/Twc+gP07ARl5h7QoH6jXaHecj44vQv1VQghhBCnBAnRF5GE6EIIIYQQQpy46YJzTdOo89URz8SJpCMoZvcRxqk7KXOXlYTt+YC9eMxluE7WlyTE7FgW9OyAPb+GvpfHx8vb7JYtbReDY4H+nSbDcOQpOPR7GNw3Pm44ofm1doV6/blgSPdXIYQQpz8J0ReRhOhCCCGEEELMT3+8n+3929nZv3NScN5R0cGW2i2cW3MuAVcAgKyVJZKOMJYaYyw9Zi9TY4ymRhlNjTKWGiOcChPPxmd9DF6H97hhe9AVxKFLqCgWWDoGBx61K8+j/blBDVpeCx3XQe26kzsZaKTX7p9+6HGIHBsfdwftVi8rLoWqdpmQVAghxGlLQvRFJCG6EEIIIYQQs5cPznf07aA72l0Yzwfn59Wexzk15xSC8/nImJlCqD6WtkP2cCpcGMsvM1ZmVvvT0Ai4AqVhu2t8Pd9OJuAMSAsZcXzhHtjzG7tlSzZljzl90H4VrNkGgZrFPR6lYPiA3e7l0B8hFR5/LFA3PiFpqGFxj0sIIYQ4ySREX0QSogshhBBCCDGzvlgfOwZ2TBmcr61Yy5baLSccnM+VUopENkE4PTlcD6fDjCbt6vZwOoylrFnt09AMQu4QZa4yyj2lVe2F/u2ukPRrPxMpBcd2wp7f2su8sma76nzFJeD0LNXRjbNM6H3Rrk7vegbM9PhjVe3jE5J6ypbuGIUQQogFIiH6IpIQXQghhDgFKWUHBcocXyort65Kx63cY4XHrSmeZ03Ydqpxc8I+rKJxZV8+7wnZwYS7LLcMLo9QRYh56Iv1saN/B9v7t9MT7SmMa5rGWZVnsbl2M+fWnIvf6V/Cozw+pRTRTHS8sr2ohUy+pcxoapRoOjrrfboMVyFgL7SQcZeul7nKcBrOk/iViUWRScCBx+yWLYWWKRo0bbH7nddtXL7tUjJJOPqsHagfewHy8xFoOjSca1eoN78GHO4lPUwhhBBiviREX0QSogshhBBTUArMDKSjkIlDOg6ZmN3/NR3PjSfAyhaF0lMEznMJoksC7OlC8tzjpxLDlQvXy8GdC9kLYXtoPGzP35fJ4MQSmi441zWdtZVrT5ngfD7y/dpLwvb0GKPJ0ZL+7YlsYtb79Dl9kyrZq7xVtIXaqPfVY+jGSfyKxAmJ9MLe++HAI/bfOwCnF1ZdCR3bIFi/tMc3V4kROPykHagP7x8fd7ih+XxYeal9QkD+TQohhDiFSIi+iCREF0IIcdoys1ME3/EJ67nHp1q3skv9Fcydpts33citG0X3DdAnjuml45OeVzxuTN5/fhwFqSgkxyAVsZfJ0fl9D13+KcL2svH77tD4uCuwfCsgxSmjN9bLjv4d7OjfMSk4P6vyLDbVbjptg/P5SJmpkv7sxX3biyvdj9ev3WW4aA42syK0grZQG22hNqo8VdImZikpBb0v2VXn3dspVG4HG+yq85WX2UH6qS7cY4fpB38PsYHxcU+53epl5aVQsVL+vgghhFj2JERfRBKiCyGEWLYsszTcLg64C+PRXJX4xBA8aleSnzDNDnVdPnDmli6/ve70guEsCpm1yUG0PjF4nirUniHsLn5+8f0pQ3J9eX3gVwqyyVygHrYnekuO2uvJsdz9/HhuG+b41k7TS0P1KcP30Pi4w728vkdiyeSD8+192zkWO1YYl+B8YeT7tecD9pHkCDt7enji4BGGEv1orkHcTguf24HfZeA0dAD8Tv94qF7WRluwbVH7zJ+xMkk7VN7zawiP9/ynYROsvdZeno6/O5WCwX1w6Pd2lXpxS6NQ4/iEpIHapTtGIYQQYgYSoi8iCdEFQDydJZLM2m10UVjK/vCjFJPHGH/Myj1mr5duXxgjN5Zbt6wpxvLPza2jJo/Z/7fnj6N432r8GC0mj034GlClX0t+naLXCXqcrKjy0VbtpyHkQddPww8NQiwGpWYRgs8QjmdTC3McTl9pCO7054Lx3C3/uCuQWy8ad3pPz+BgOVLKrmIvDtULYfvY5PFMfO6vYTgnV7YXwveisF1ay5yWjhecb67dzDk150hwvoCSGZNfvXiMHz15iBePjhU9otAcY+iuQXTXIP7ACD7fGD63hs/lwO828LscuJ061d7qQqX6itAKWoItuAzXkn1Np5XoAOy7H/b/zv7bC/bJxlVXQMe1dpB8pjCzdt/0Q3+A7udKT8TXrLUD9dYL7PZjQgghxDIhIfoikhD9zKGUYjCaprM/yv6BaGG5vz9Kz1hyqQ9v2XI5dForfbRV+mir8rOiOres8tFU7sWRq5wS4oyQisLQPjvEnNQCJd8ypWg9k2DOlcVTcbiLAu65huA+u6pbnH7MTFHrmAkhe77KPTkGqdzj87kywembpof7FL3d3UE54bIM9cZ62d63ne392+mN9RbG88H5lrotnFN9Dj6nbwmP8vTTPZrgx08d5j+e7WI4lp7ls0w013AhWNddgzhdYXwuA7/bYYfrLoOAx8mqihZWla2wq9bLpL/6nCgF/bth72+g61kKf6cDtXZwvuoK+2/omSwdh6PPwME/QN8uCt8j3WFX5a+8FBq3gENO5gghhFhaEqIvIgnRTz+mpegajheC8uLQPJw8Bfv7LmMOXaO5wlsI1Vtzy7YqPy2VXtwO+TAnTnHJMfuDdv9u6H8FRruYVyhuOKcJwX2l49OF4MukGlgphUomMSMRrGgUK57AtWIFRuAMDxtOBUrZVzaUhO1jpT3cJ4bwyprba2i6HaR7K6FxM7RdCOWtJ+frETOaLjg3NMOuOK/bLMH5SaCU4skDQ/zoicM88EqvfQXgidLSRaH6ALprCM2Io2kaHqeB323gcxmEPF5WlbVyTt0azqpeJf3Vp5JNw+HHYc9vYfTw+Hj92dBxnf17S046TxYfhsN/tNvdjBwaH3d6oeUCu91L3QY5iSqEEGJJSIi+iM7oEH3Pb8HpgbIWKGu2Kx1PIYm0aVeS56rJ9w/E6OyPcnAwRtqc4wd/seA0DRrLvCWV6/bST2ulD69LAvZThcpmsaJRcDjRfV600/kDZmwIBopC87A9wZ5CkcpYxNMmEVcNgcp6qioqJ1SCz7BuOJf4C5uelU5jRSKY4bAdjEcimOEIVixqLyMRzGgEKxLFjIQha5buQNdxr+3At2UL3k2bMIJymfdpQSm7pdCktjLh8cr24vF8G4SJQk32JHWtF0JZ0+J+DWeYY9FjbO/fzo7+HZOD86pcqxYJzk+KWCrLz3d086MnD7G3Lzrjtk3lXq5eX8exsQSd/VEOD8XJzjVtN2Il1eq6axBNG7/SxOXQ8bkclLkDtATbWFe9ii2NHZzXsIbgmdiKIzYEnQ9C50P2SUOw/y6vvNyuPC9vWfRDypgWw7E0A5GUfYumqPS5uKi9Cp9reZw4n9LoETtMP/RHiA+Oj/uqoO1iO1CvaFu64xOnpaHEEAfHDpJVWRyaA4c+fjM0Y/x+7jFDN0rva8YpdaWOymbtgpVwGDMcwQyPla7H4zjr6nG3r8a1ejWOioqlPuSlkRiB8DGo7lg2BUdiaUiIvojO2BBdKbj7g/aEZwBo9iWMZS32G8l8sB5qWvJfSEPRVCEgL64u7x5NLOlxFdM10DTNXqKBRmE9/5hmD49vl1uC/djE7SE3r95M+8g9V9M0tAnbkx/Tpto+t50+eR8Ag9EUhwZjxNLmFF/twqgLuSeF621VPtqqfAQ9yzdwPF2odBqzKDg1w+HCmzMrknuTFgljhSNYsdJwTPN60H0+dJ8/tyy6+X2TxrTCtsssgFcKov12WJ4LzTPhPuJpk3g6SzxtEktbHMpW8lyigV2ZRvapZsLYVdeXd9TwqWs6OKe5fGm/jglUJoNZHIZH7fDbisbsn21kPBC3IlFUerZtBsZpbjd6MIBmOMj29RU9oOHu6MC3ZbMdqJeVLeBXJpY1MzteyT7WBUeesnvrWkVXgJW32mF620UQrF+6Yz2NHIse4/n+59nZv1OC8yVwcDDGnU8e5u7nu4gc52rHi9uruOnCFVy1rg6jaK6ZjGlxeCheKAzpzBWG7O+PEk3N9grK0v7qumsQzTWMRmlRiaFrBJ0V1HlbWF2+go217Zzfsob2mvLT7+pBpWBwL+z5DXQ9PX5lja8aOrbB6isXvLe3UorReIaBaGo8HM8F5BPvj8TTTPVJ3ucy2Lahnhs2N3Hx6qrl2zYx3xLn0ONw5MnSOTrKW+0wve0S8Fct3TGKU9ZQYoh9o/vYN2LfhpPDJ7xPDW08eNeNkjA+H8RPN14cyE8X0k8V7BuagVN3YugGBjpGPIURTaBF4+jRBESiEImhIlH7M1ckjDkWnvTZKy9rKUbjaWKpLA5DJ+C2589w11TjXt2Ou3017tWrcTQ2npSrkJRSWMrCwhpfV1Zu7jUrNy/c5HEr9/vXVKa9rsAit82EfSoUpjJzc7yp0tdKx1Ajh7CG96NGDmLFBjHQ2HT2+3Gf++4F/3rFqUNC9EV0xobo2TTs/LH9QXf0yHhVxkSaYX/QLQTruZA9UL+glztalqJ7NDGp/cr+gSgj8Xn0cJ2B26GzqibA6ho/7bUBVtcEaK8NUB/yoGtFAfh0wbNWGoSfrpRSDMXSHB6KcWgwbi+HxpdjiYX9uRSrDrhoy4fqlaV92Mt9i9B70cxCfAhiA3aLjVDzKdHz0UqlMMfGSqqKpwvHVWKO8wBoGlN+2psj3edF83qPH8D7/ehe78IG8EpBuJtkzy7GDr1ApncXmchQSWieNhWHVR17VAv7rGb2qSZieGfc7dXr6/jk1R2sazg5f0OUaeaC8ChWJPdzjeQqxHNj9tKuGJ/zzxbQnA70QBAjFEQPBNGDAYxgsGTMCAbQg0H75hr//yHT309i+w4SO3aQPlx0ebym4W5vx7t5M97Nm87cKpkzWToGR5+Fw09C70ugik7MVqy02720XgSBmqU7xlOMUopjMbvifLrgfEvtFs6uPluC85PEshSP7R3gh08e4tE9AzNu63MZvH1LMzde2MaaurkFtkop+iOpkjl8Ogei7O+P0Rueze/5yf3VdcfYpK0UGmQrKHc00hxsZW3lKs6ub2NNbRnttQHKvKdYYYOZsUPdPb+F4f3j47Xr7JYtza+BOVakxlLZqcPwSIrB6Pj4YDRFxly4j+fVATdvOreBt25u4uymsuX7ucPMQM+O3ISk24tOnmpQt94O1Fu2zthnXpkmZjiMOTqKNTaG5vXhbGqSdnFniOOF5pqm0Rpsxe/0k7Wy9k1lC+umMsfHi+6fdErhTJq4E1nc8QzueHZ8vXgsnsWVzM7YETJfKKdpOjoa6DoZn4uIy8mwptOHTp/SiThdpBwOaiNxWkej1IfjOHQNl6HhNHScDg3N5yTZXEG0uZxIY4hwXQDTsH9/5EPtkvA7F1bn10vGiwLuRWeZ9nvJVNielyoz9cmFTd56/uydP1/kgxPLiYToi+iMDdEnSo7ZvX7HumDsqB2sjx0trSooZjjtKvV8xXp5C5S1gr96xn54yYzJwcHYhKA8xoGBKKnswrZgKfc5ac8F5MVheWO5t6QCSMzPaDzN4aE4h4ZiJcvDQzEGo3OvbJ2tMq+zqHp9fLLT1ko/1QHX7D9gpGMQ6bUrkaN9dmAe7cutD5b2AtZ0CDVCeZt9iWp+6T25oaBSCpVI2BXjM4Tj+YrxOVcUOwyMYMgOSScsjVAIPRTCCATQQyH0QABMEyuRwIrHsWJxexmPYcXjqHj+fhwrFsOKJ8bvx+OoVOqEvx9TBvB+/5QhvOn20JfS6B3sItq3DzX4Kv6xfZAKk8yMB3kmBgdVPXutZvaoFjpVEynmd8LkDWc3cMvVa2ivnTkoUZZlf4+iuXYp0UghFJ88Fp22GmVGhmH/7IK5QDwQRA8Fx4PxfCAeCGCEQmhu94J8OM8ODRHfvp3E9h2kDx4secy1epXd8mXLFgnUz0SpSC5Qf8KepK74d2xVu12h3nqhVC1OQSlFT6yHHf072NG3g774+NUfEpwvnrFEhruf6+LOpw5zeGia98c5K6v93HhhG28/r5nQSbi6LpLMcKDoKs38e+rjtoYp6a+eq1g3Jn8tSjmw0lWodDVBo4GVZStYW9NAe23Qfk9dG6Ah5EFfTu+nEyOw7yG7bUsyd7JAd8CKS+3K88qVJZuns5YdgBeH4ROD8tx6/CRemTlbq2r83LCpiRs2NdFatYz/P09Foespu0K9f7f9XjZjYSY1zOAazEAHpqPafv86Ooo5OmYvw+EpizWMsjKcTU3jt+YmnHV1aM5T7OSOKDGb0Lwt2MaaijWsqVjD6vLVuI25tZ5Vyq5onhiwl4TuuSDetMzCeMZMYyYSWOExzHAEwnahiopG0cIxiMbRo3G0SAw9lkRZFuQrpnOV2Pkg2g6nFSpfpQ2kPDoJr0HK6yDlc5LyOQrrSa/BiKFxTCmOmSZjiQzmcdp9ubIWjSMpWoZTNI+kaBpJ4cydzDN0DYeuoTl0Rmt9hBsDxJoDjDYEyHhOTrcBTdPQ0dE1PVd4qKOj5woVdQzNPompa7lt0MbXFWipMfT4MHp8GC05iq6UfXU9oKOhuYPo/hq0QB2at4JXXv05CsWfXf4lNrVdeVK+JrH8SYi+iCREn4FS9kQyY7lAfTQXsI8dsSsOpuJwQ1kLcV8DPaqa/elKXo4F2TVs0DkQo2skvhDFrCWaK7yFgHx86acqcGr1eD+dRJKZXKBuh+tHikL22VVPzY/fZRRC9RWVHjqCKVZ54jQ7I5Rbw+ix/vHQfLr+vXm6A/w1dvCTnqa/qTtUGqqXtx23BZJSyg5Qw+GiXnfh8d7TuUDcDssjqMzcqig0p9MOS0NlE8LxXDAeDGKUlWEEg2he76JVNalsdtoA3g7di4P42QXwCkhlTeIpk3jaJJHOYKbiaOkoTjOGnwR67lJ25dBQDg3TYTBkhOgzKuk2qjlq1BB1eEk43CQdbhKGK7eeWxqukhODHqeO09BLL9tXCo+Zxp9JEsgmuG5FkHeuq6BaS9sheHRCxXg0Oveqfk2zA+9gAD0YQg/4MYKhyRXjwSBGIIDm8y15xVp2eJjEjh3Et28nvf9AyWOulSvxbtmMb8sWHFUSmp5xkmPQ9SwceQL6XqGkNKu6w2730rIVfJVLdohLrTg43963nf54f+ExQzNYV7WOLbVb2Fi9UYLzk2xPb4QfPnmIn2/vJpGZPkzVNHjd2lpu3NrCxW1laNkMKp0u3Kx0GpXOFE546wG/fbLT70f3+9EcJx5oFLeGGQ/Yj9Ma5jj91fOU5cFKVxduHlXHquoq+713jR2st9cGaKvyLW5rmKH9dsuWI0+izAwZU5FwhOipvZR9wQs4lnROGY6PLvCVrvNl6BrVARflXhf7+iOzmoz2vLYKbtjcxBvPbqDCv3RXSqpMBnNszL6Njk64jWEO9mL2HECF+4taiGK/x/ZW2L/jXYGicd1+jxoKYcaimINDU7+wYeCsqy0N15uaMCoqlvy9j5javEJzdHsi24E9MLgHhg/Y/24qV9sn36tWQ7Bh1hPaFq7YLe4tHolgjoVzPcdzn78i4Tl//tL9/tLPX6HQhHX7pgcCaIb9+9FSFqZlcnAwzOP7+3nqYD/PHhpkNJEEzQTNslty5dbRzNL7aKA0cjXsubdSOpqlqItGaA2P0Do2TEt4mEB6/LOUhobXaZCtrkKtaCWwdhV1Z6+lcVUTLoejEGrbrV6LAu6icBzA0I3xcLwoNJ8Ty4LRQ9D7sl1gMbAbshM+9/mqoG4j1G+0lxPeG/7yFx/i/tFXCVV18Llrvi3vic5QEqIvIgnR5yHXR9gaOcLIsf2MHjtAcvCw3SYhZffomjixZxwP3aqablXNUVVNT279eG0S8lyGzspqfyEgz79RX1UdkAkqTzGJtMmR4XyoXtQiZjBOz1hiTtmilyQ12hg1jNpLbdS+MUa1Fi7pBWro9hsGr8vAl1u6ApV4KhoJVDWiB+vseQEC9fbSWzHewiQ+bP+BHzkMo4ftZaSXfPCjLIWVMjGTFlYaTKMSUy/HIoBpebBMF2Y8VQjOseZ21YXm9UxbMT4xHNfdp9/Jo5FwnIPdQ3QdHaLn2BD9fSMMDIwSGRqmLt1LW7afRmuA2uwoTjOLllVoWYWeUViWRgwPMeUlioeEctuXrs9A0+x/Kz6XgdftwBP04y8LEKwIESgPYbk9vNDZy+7OYzgSMXzZFIZlTtpHQ5mHFdV+vM6pf0fpfn+uEnxCC5VgcEIrFTtkWVb95OcoOzJCYsdOEjt2kOrsLDmJ4Gprs1u+bNmMs7Z2CY9SLInECBx52g7UB/YUPaBB7Vl2u5fWreA5/fvr54Pz7X325KASnC8cpRSY5pSBtsrkl+nC/WwyxYsHB3j8lR4O947htLLjNzOLQ5k4Tfu+X7Nor/SwqsyJV7MmT748S5rXkwvVA4W/DyVBeyFwD2AEcsH7LKtxJ7aGGW8RM1VrmNn1VwewzAAqVTMermeq0HHQWukrFLeszhe51AQo8829elgpRTTfTiUXgA+OxXAde47Gvkcpjx8ilTVJZy12Zxt4MLuF7WoNJkv7+aDC56Qm6LZvAXtZnVsWj1f4XIWK/v5Ikl+9cIz7dnbzwtHJrXcmcugaV6yt4YbNTbx+XR2ead5vzJVSyr4ybmIonl/PheZWdOZJdIvpDoWhRTHMAQxnFsNr2LfKKoyOizDWXYHefFbJex0rkSBz7BiZ7u6SmxWfel4s3efF2dhYGq43NqJ7Z/d5UyyceYXm6QQM7rMD84FcaH6clixK82D6WjBd9Vh6FaZehplShd7i+VDcHAvP+Ypd3efNfd4KTRGQh8av2g0G53QSdDCa4on9QzzROcjjnYMcHZnbPG9OQ2NjUxmRZJaDg7HjVqqjFBWpCK2RvsKtJj46abO420+8oQXHqlWUreugdX07HY3lNJV7F+6qI6Ug3AN9L+duuyYXtrmDULcB6s62g/NA3YwnSjIv/4x/3HEHfS4vF5z9Ad6//v0Lc6zilCIh+iI6k0P0rz77VQAqPZVUearspbeKCk8FVZ4qPA4PYFd6HhosrWrp7I9yYCBWUpFjYFLLKE3aAI3aEM3aIE3aILXaCNo0DcDG8NNdFKqPuerx1bTSWlddUl3eUumTFixngFTW5OhIohCqHxkMMzjQS2KoGzPSR5WyQ/JqbYwabQw/M7/pyOJgUIUYUOX0U86gKmNAlTOgyhikrNC2w2lotFT6CpObrqjy0xpy0ObRqCKFMxFD5SZptCvFw5ijI1iDxzBH+rHGRuzWR+lEac/fYoYLnF5w+sDpRS+rQq+smaJivDQcN4JBNNfy78d+ouLpLIcG4xwcjHFwMMqBwRgHB2McGowV5kVwkWG11kOH1kWHfpRV2jGclL65juNhr9XMPtXMHtXMUbMadzaL10zhyabxZlN4sim8ZpoGl0WTGxpcihqHRZWRpYwsPjMNicRx32xnLUXXcJwjw3GypkXS4SLu8BBzeog5vcScHpIuL1vWt/DGizqoqau0f74BOwxZiKrDU5E5NkZi507i23eQ2ru3JFB3trTYk5Ju2YKzrm4Jj1Isifiw3cv48BMw1Fn0gGZ/oGq70K5QX+DJAJfS8YLz9VXr2Vy7+bQNzpVSkMmgMpnxYDtTvExPUc09Ybt0ujQMT6ex0qmisVz19yxOYKdNi57RBEdHEqRmqDoHCHgcNFf4qA95pn6PqmloLhea02kvXc7CfRSFtl5WPD7vOUc0t7soaD9O+B4IYPj9k95TTGwNk1+WtoaZfX91lakoqVhXmXLsC/HtHt8T5yQKeBwMTqgUn9haJZmxf3ZB4lymv8jrjB2UEc0dmcEz1loetrZwSDXM6/s4W36XMTkMnxiMB91U+d24HCd24nv/QJT7dnTz853ddA0fP2QLuB1cu7Get25u4oJVVdN+brJSqSlC8aL7Y3ZIPuuTQQ4Do7zcriAvLy/cHOXl6EVjhblULAv6d8HBP9gTvhZXqFeshJWX2q29prkSSSmFOTpK5mg+VD9KpruHTF8fmFMfs1FVibOpCVdTE87mZpyNjThqawsVweLEzTk0D63EHe0vDc2j463KlFJYKQsz4ybraCCrVWCaPszhQayBbsyRfszREdRUrZYMp91/3+nLLf2FeRA0t3vmUDwYwihb2M9fsVSWZw4O83jnIH/sHOTV3mnmopvB+oYQF7dXcXF7NeevrMTnsj9DpLImBwZi7O2LsLcvwp7eKHv7Ise9+t+XSdKSC9RbIv00xQYnFQSlDSdHAzX0VjSgr1xFxdp2VjdX0VEXZG19kNrgLFtBxgbteXH6dtnBeWKk9HGHB2rXj1eal7fO+uoCAMaOcuBXH+NrVj+q/lw+dt5fc1blWbN/vjgtSIi+iM7UEN20TG559JbCTMlgXwIaT5vEUlli6SyptJNY3EM45sHK+rGyAVQ2gDL9qGwAlAuOU9EJ4CRLnTZsh+rYwXq7e4QWVxSfy55R2l46cDnsy4bwVRdNZprruX6KTO4o5igdy7VY6R/vSR7ts+/HBguhtKUUyYxJIm2SyOTbd5j0Zz0cTgbotcoYUGUMUF4IykcJgAKPmcaXSeLNpvBn7aU3m8KXSeHNJvFlU/YtM/6Ys7jyQQOHrhf6yhm6hsPQSscMHc3nx+F34fZYeF0ZvI4EXj2C24jj9Dpw+AycXgeGx0DTNTtYL28tbQdT3mpPZnoaypgWR0cSdkg+EMsF5vbt2NjkNj8eUrRr3azVjtKhd7FC68Og9A1eBB97rRb2qGb2qhaOqmqKfy9V+JysrPazsjrAqhp/bt3Piir/ca9iUdlsSVuZfBsalUyguT2FKvKo4eEHL/Tzf586Smyavqkuh877t7bxl1espiZ4+l0tMF9mJJIL1LeT2rO3JORyNjUVWr44G05uMCKWoeiA3Vf38JOlkwNqBtSfDa0XQPNrwR2Yfh/LlFKK7mi33eN8QnDu0B2sq1zHljq74tzrWP4VlEopVCpVmLOjdNLjXKuyqD2/w3gAPh54L3ifv+PRNHseCKezEGwPpeGlvjivDiVJYpDRDbK6g4zhIKMbZHQHGd2B6XCyaVUNV5/bzPq2anSXKxeQu9CcuaDc6UJ3OcHpnFXAoCzLbmMWs9t9Wbnvlf09i9vzZcRz82jEYljRmD1Xxhyvait8+S7XFGF7PmjP3Q8EsDxeujMGB2KKzpEU+wdjpa1h5tFfvRCsmwFm8xkir0Xr4/X6drbqr+LInTwP4+dRcxOPWucQZv6/B5yGNh6KT1EpXh1wURV0Uulz4nXrmJZpt2FQZskEffn7M43nezTn2zhMfNyhO/A5fHgdXnvp9OIxPOzuSfKLnb386sWeQmHBRLqy8GcSBNNxVjgzXNXo4YIaB/WkcyG5PWHndFXcU+4zGMyF4EUBeVl5UVheZl8RMd8WKtk0dD9vT0jas7OoEEWDylW598at4++PZ/h9r7JZMr19ZI4eJdPTU6haN0dHp9xeczpw1Dfgam7C0diIKxeu66GQtISZhTmH5r4G3KNdMLgXBvagBvZiRqKYsSzZWNZexk3MrI+s6cVM6ijdYwes01EKsgk0K4XuyGAYSQzi6F4dw2NgeAz0/LK6AaN5LXrdWrsVTMWKk5YrpLMWO7tG+WMuNN/ZNTrzXBVTaK30cXF7NRe3V3Hhqqo5t6mNp7N09kfZ0xthX265ty8y5ectAIeVpTE6WFSt3o9nQlsVS9Pp9VdyJFhHV7COkZommlrrCqH6mlp7WWkkcoH5Ljs8Lzo5AtjtnGrW5lq0nG3/vz7HyZ5LKAW/+Dh3R/byWEUtleWr+OwFn51zD31xajujQ/R/+Zd/4fbbb6e3t5dzzz2Xb3zjG5x//vnTbn/33Xfzd3/3dxw6dIg1a9bwla98heuvv37Wr3cmhuixVJbnDw+zvWc/ewePcWi0j2ORIWLZETRHFM2IoenHnwRQKRcq60eZ4+G6lQ0WxpyahxVVE3uV20GW3+2ATHK8x3qh53rX5LOTBZrdZiM/iWl5LmAPNs7Yg1osMcuC+FBpOF68nK7feF6+N3mwHuWtxtLLsPQgpvJiKTdWMks2GmVkcITh/hFGh8aIjYRJjIbJ5CZltOb5QdPUDeION1Gnl6jTS6xk6Sm5H3e6UdrUVUceUjRrA7RoA6w0BljpGKJFH8Crm4UgPh/GOwyNlLuaZKCZbLAVs6wVrXIF7rJ6Ah4nAY+DgNu+LcerMyxL0RdJcnAgVqgmz9+6hmee8MxPgjVaN2v1Ljq0o7RqfZOuYhlRQfaoFvapZl61WuijAq/TYYfjNX5W5QLylTV+Vlb5F7VX6HAszXd/v58fPnGoUDU3kddpcONFbXzkstVL2sd0OTKjURIvvEBi+w6Sr75aUlHmaKi3JyXdvAVnU6N8wD3TRHrhyFN2lfrIofFx3QH159gV6k2vWdYnIJVSHI0eZWf/Trb3b2cgPlB4bDkG5yqdtkPccH4uh/EJkAuTHkcjhYmQ59o/dkoOw57XoySULq7kdpVUdI9vN+HxojA7v31x2I1hoGkaqazJb17q5QdPHGJn1+iMh1YdcPGe81t579ZWGsqWwc9HKVQ8XhSq2+F7/mRFPmi3A/loIZCfrlL3eDSns6iq3Ufc4WFQOejNGnSnNA4nNPbHFF2ZJElfjKQ/TNY7gu4eOm5/dZUNgKYAC1C5PsAKTTNZofWwUT9IvTaEpYGFYoAyXlGtHKYmP+tJ4flafj+ahdel43fpeN06PqeGx6Xhdel4nBpuh4bbqeFygKGDYurAO6uyLPnHbaVwpC1CSY1gQiMzmCHSmyAxkMAfNwkkTYLJLIFUFg0Npezp91D2zedyUh/yUV/mKbSX09zuolC8rCQUL6yHQot7xVwybP+eP/QHO2idiq/aDtOL5yMK1MMM7e7MaIxMT7dduZ4P13t6pp1vRw8G7ZYwzXYrGFeTHbLrZ8BVoTOZU2he3s4q/BiHX8I8+BLZrn2Y/T2YsQzZWJZsPIsZN+1+3q6AXS2eXxaHqZpmV4hXVeGoqrRb/5SVYZTNMMdTJgkjB+25EoY67ZPw0X4m0Qw7S8j3Vq9cbecK8whzLUvxam/EDs33D/LMweE5T0Zc5XdxUXs1l7RXcdHqaloqT877mbFEhs7+8Yr1/G0wOuHqW6WoTYzYgXrYDtXLU5Mr6Ic9IY4Fq1AhjWBZgjZfH6tcwwTcDvwuBwGPA7/bibehA3fTuXZwXt2x8Ccwnvt/pPb8hi/6dYaDNVzecjnv7Hjnwr6GWNbO2BD9Jz/5CTfeeCPf+c532Lp1K3fccQd33303e/bsoXaKPqlPPPEEl112GV/+8pd54xvfyF133cVXvvIVtm/fzsaNG2f1mmdiiP5y9xhv/MbjM2+kpccDdUcUzYiiO2JoRtS+r4+fxXToGj63o1BV7s8tQx4v1d6qQruYCk8FVbn7lZ5KQq5pzvSnorlwvQtGj+SWXdOGrUrpWJ5alLcey12NcldjOStRmg8rlcJKJlDJ3DKRxEolS+8nk6hkElD2By632/6g5bY/bOluN5prfEx35bdx5x7PfTAr3s7ltJ+X39cS9zI2LZN4Nk40HSWaiRLLxIikI8QyMaKZaMl4NBPFoTuocFdQ5i6j0lNJmbuMCncF5Z5yKtwV+J0Tqk7S8QkBedF6UTV5nlIKlVVYaQsrZWIpL5YewtT89rryYGUN+5a2MGP2hz/75zQ3CrsiII5BxHAxipNBy0l/VqcnrTOCk4TDTdzpIe7wEHe4iTvdJBwe0rpjbpeTzYGGRS2jtGj9tOQC9hatnwpt6kv8krg4qmo4qmroUrUcUbUMOepwe7wE3faVHAG3/WalcL8ocA9MvF+0nc9lzDmUHImlOZBrt5IPyfP3Z5p4rViIKB3aUdbqR+nQumjSBidt06/K2aea6aSVeFkH5TWNrKwJ2CF5tZ9V1QHqQrO8nHCR9EeSfPvR/fz46SOks1OH6QG3g/928Qr+9NJVlHnn3iN2uchaWRz6wn/ItmIxEi++SHz7dpK7d5dcVu6oqxtv+dLcvKx+9mIRhHvsdi9HnrLfH+TpDmjcZPdQbzoPnDNUry2S4uD8+b7nGUyM/45z6I6SVi0nOzhX2ex4yBqZEIiHI3bQmgvEzXBk2oBpJprbnZvboXjy49zcDrlK58L7qIkBuNO5aIFd71iSu54+zF3PdDEYnfnrPLelnA9e1Mb1Zzcs7mSZJ4FSCpVIlFa550L2iVXu+Yp4MxadU4/3rJW/qtUkmlUMKwcDymSAFAl3hoQ3RcKbJOHSSLh0Ek6DjCP3Ozz3qdbAokyLUk4Up2bmxjWiyktYC2IaHpyGjsvQcRoaLt1eOnP3nQ4dh66h5yrdJ/2FyH181qb7FJ0bn9SKMj9eNKxrOjoamqZjoKPrGrpmoBUey/2naePbaUZuXSt5XNN0u5XcWATCEfRwDCOSwBlNYmQnH6xCkc5Ydj94MzdHjwZRt0HUYxDxGEQ8jtzSIOJy46woo66llvamOsp9Abvi3WlXvudvEyvh8+P6NIUiJ0V0wA5AR4/YcxGNHrY/T0zFcOaKq1pLr+qcqWpdKbIDA2R7ekh3jwfs2f7+qa+M0TQctbWFcD0frDtqak7b9yBDiSE6Rzvt0Hx0H0OJ0kleHVmLdlVLOzW0pgPUDofReg6R7e3CHOjDjCWY1M3V4S4NzN0BjMoKHJX5kNy+OaqrMSoqcFRUzHrehxklw3aYPrR/PFxPhSdvZ7igcqUdrOcnLw3UTvlZsGs4XmjP8sT+IYZjc+u37nMZXLCqiotW2y1a1tYFF67v+DwMRVPs7SsN1vf0Rggnx0+Qh1IxWiJ9rIwc4+zoAdpifQS0OD5SFOYJc+hkQwa9wUp2BVfyjO8sXtXaSOKmsczDmlzVekddkI46u8gy35rmhPTshEe/zG6Xk3+pKEND55bzbmFV+aoT37c4JZyxIfrWrVt57Wtfyze/+U0ALMuipaWFj3/84/zN3/zNpO3/5E/+hFgsxq9+9avC2AUXXMCmTZv4zne+M6vXPBND9ETaZN3nfzvn59WHPKyu9dNeE2BFtYua8izlgRSWEWEkOcJwcpihxBDDyWHC6Sn+MBVTCo9pUK0HqdICVOKnXPNTrryUKQ9+y4nXNKAQdiewomOosQGs8BAqMoIVG0PFo9NXP2m6fQmY02t/mHZ47XVj8SsJNKejNIjPh+tTjuXGpxjT3S5wucgYENPSxLQ0cdJEslFi6VwgngvFCwF5Jkoik0BN05d+VpQCM23fcq1OyiyoME3KM0kqE1kqUhqhtH3zp8CdzofkFlYGLMuNZbmwTAMzo4HmBMNtv6GayxtzTUP3+Yp6fPoxSibc8hc+rOcn3ppu8i2lFMOxNIeHxyc3LZ7sdLpLZk8mP4lCoJ5fNmpDk9qYgN17tF9V0JUL1u1lDSMEmctl0rrGeAg/TfjudRr0hpOFwHx0Ht+bSsKFKvMO7Sh12vCkbcLOWsZCazCrz8LTuJGmxiZWVvtpqvDiNE6tiTWPjSX4l0c6+cmzXWTMqf//C3kcfPjSVXzokpUE3Mv/ipp4Jk7naCd7RvawZ3gPvbFeKj2VrKlYQ3t5O2sq1lDlqVrQD5VWPE7ixZdI7NhO8pVXSn7nO2pq8G7Zgm/LZpytrafth1kxjdGu8R7qkWPj44bTDtJbL4TGzfbfmQWWMTOMpkYLt7HUGCOpEcZSY4wm7bFwOlzSNm8hg3OllB12RsarwaetFI9E7L7bc+UwckF4ACMQHA/EA0GMYGB8EuT8bRlXaiqlePbQCD988hD3v9w741VRLkPnjec0cONFK9jUUr54B7kMKaXsHvPRqSrdp2g9k9tOZUrfI1hK2a34UibRVIZIOk4sEydtJrGwr8pzaSY+UnhUCl1T48GyK4DmDuJwODFy7xc1Ldf+UQMt91/JOBpa8WNaYbTkOSX3tdL9QPFzxteLH1uUnwHKbv3icWGFfGSDXtIBD2m/i6TfScLnoE83eT4c4fmRMP3xKOhpNC2dW07+nKRpGtUBF/VlHqr87lld2eg23FOH7osVwqdjdqg+kgvV8wG7Oc37UV/V5HaJwYYZq9atdHo8WO/pKfRdn24CVc3tHp/ItFC93oQR8J/Y17oESkLzkb2ER/vxRjN4I2m8kTS+aIaGtJ+6lJvyaBZfLIGRjts/l0xs8skHTUPzBDBq6nA0tGI0rcZR34yRD8yr7KryJSk0U8q+Srq4Wn1of2l//jxXAKraifhb2Rmr4uGBIA8fSs1qnoJiDl1jS2sFF7VXcUl7Nee2lC/7zzX5Can39IzQd+gVUkdfwD38KuWxA2hWFi2rcESyOMJZ0mEH6bCDuOUmprxkcxM7Z3WDnkA1R4J1hVuy6D2ZpkFLhS/XEiaQC9eDrKrxz+3EdTYN//mnYKb5t46LeGpsH3W+Ov7m/L/BaZy6xUpi9s7IED2dTuPz+bjnnnu44YYbCuM33XQTo6Oj3HfffZOe09rayic/+Uk+8YlPFMb+/u//nnvvvZcXXnhhytdJpVKkiqprwuEwLS0tZ1SIDnDxP/6O7tHJv/wdukZbla+k/Up7rd2CJeB2QCZjV3cnEqj8MpnESiRRqdwymSATjxOLDhGPjZGIjpKMjZGOR8nEo5iJOFYqNfns9AQa4DRcuHQnLsOFU3fiNJy4dBdOw4lTd9pvYc00ZBJoZNC0DDpJNJVANxS6U0dz6rmlhu7Q0Txu9LI6tMpG9Kpm9OpWtOo28Jbb/TlTKbtaPZVCpdKodGp8LD95VSo/lhqf+CqVtu+nUoVenyVvKEr+d1VFw/bloqZlklUmppXNLXP3lVlyP5u7xLT4G2U6NExDw3To9rpTJ+vQ7PWiMcPlxuly4XJ5cLo9uD0ePC4vXo8Xj9uH3+PD6/aRTYwSGTxKZKSPeHiIRCxKOpklkzaxUhautMKVUjjTCmdG2V+OptmXxuWWuqbjMFw4DQ9Oh7vw83Pq4zeHyzM5AC+eDKvksfzSt2hBWTiZYSyeIZrK2rdktmQ9ksoSmzg+xf3jzpp+HAYmDdowLVp/ri2MHbAHmToUieGdFKwfU1VkWcyQVlHDKGv1o6zV7OC8SrMnIXMZOj6XgdftIBtqRa9dR7D1HOpWb8YbqljEY1wcXcNxvvG7ffzn9u5p/y1U+Jx85PLV3HjhiuP2al9MaTPNgbED7Bnew56RPXSFu457Qq7cXV4I1dvL26n11S7Y/7NWIkHy5ZeJb99B8uWXS4Iao6qy0PLFtXKFBOpnEqXsQCUfqBf333S4c4H6RdBw7nEvIVZKEcvExgPxopC8cD85Sjw7u1DaqTtLgnPPNP1d81XC+dYppdXipYG4GYnYoc5cPwZoWlGleGA8EA8F7ftFgbgRCJReIn+KSqRN7tvZzQ+fPMzuYzMXeDSUeXj/BW38yWtbqJ5j/1lRykqnSyraJ1e6R+zwPRJBjfTYrR2L2jlq7qAdeoYaxt9bFsvfnzSeH9YmDx73udo0m0/cfupJZGc6nonj2sR95e5rHvfxJ+Y8jr19Ee7d0c19O3tyn/VM0DNoetq+0li3b+SWXrfJxmYPZzW6qQlqJM0k8WycRDZBIpsgbc6twnY6cw3h/U4/QVcQv9M//RVvlgXR3lywfvKq1q1wmExPD+mjR+2Q/Wg32d5j0xZyGeXldrBefKuvWzYTyiulGOo/zMFDO+nueoWBnv1kh4bwRtN4Ixl8kTSOjFX4Ofg1Bz7LxMgk7CvDc72ydZeO4XNg+B04ygIYjW04mtfiWHk2xspz0MsrT52/IUpBuNsO1Yf2k+nfx2hPJyPROMOxtD0PRM6ICnJQNXBQ1XNQNXBI1ZFk8t+MdQ0huz1LezXnr6i029meCpSy/z/qfdnua97/SskJBqUUcSNEt2c1u1Ubz8Qa2DHk4EDfGFXhwVz7F/vmz0zOm/p8FYW+6odDdYy5ApN+Rxq6xspqPx11drC+ti7ImrogK6p8OKY7+fDY7dD9HPH1b+ELkZcJp8NsW7GNN61+04J+e8TydEaG6D09PTQ1NfHEE09w4YUXFsY/85nP8Nhjj/H0009Peo7L5eKHP/wh73nPewpj3/rWt7jtttvo6+ubtD3Arbfeym233TZp/EwL0f/qx9sxdr1AW8Cg2afT4NGod2tUGCZ6OlUSihfaoaSSc7qkcyYKRcbKkFZZ0k6NpMMiYVjE9SxRI0NET5N16mRdBlmXTtY5YekyMF0G/kAloVANZcEaKgPVhdYxla5yKswsjnBPac/1cM+k1iILSSlFAkUMk7AyiZsW0WyWeNYknjVJZE2SWZNU1iSVtUhnLUzTwsgqDBMcWYWeBYepMLIUxo2s/Zi9ntvWBANwoGGg4UDDoVFYzz+WXzdOtGpG08BwYxkusvmJtjSdjKaR0SDl1Ii7FDGnRcxpkfYYpD0O0h6DjMdB2p1b5sYzHgOcTsq9FXarGHd5oV1Muaeccnc5FZ4Kgs7gqfMGbApKKZIZa0L4nrEvdU5lcoH7+HohmJ8iqJ84aWWIaEkrmBZtgAZtGI3JLUQsdI6pykKwfjS3DLNQ1TKKRobo0LtYqx1lndFNgzuBz2W3i7FDcyee2jV4GjdA3XqoXntKTgo4XwcHY3z94X3cu7N72uyrOuDmo1es5r1bW/E4Fz9Mz1pZjoSPFCrND44dxJzwO7PWV0tHRQdrK9fSFmqjN9ZL52gnnSOdHA4fnrR9mbuM1eWrWVNuTy5V56tbkP+nrVQqF6hvJ/nSy/aJyxyjoqIwKalr1apT+nfIcpeviM72D9iXxw8MjE/kpmFXo2mafcWRpoGevz8+pun5+/kx7Oq0XMUnuce16bYpHtM0O1Tp3w0Du9CSY4UPZ6bDRaxqNdHqFUT8VUTNBJFslEgmSjh35VYkEyWbu/JH6Vq+kwQqt4/iMYfuJOAJEXKFKPOUE/SEKHOXEfKUE3KXUeYuw2940ePJ8UC8UDU+oa1KNDKv91j5k80TA/HiKvFCOH4iEwCeYrqG49z51GF+8mwXY4mZr5zaurKSD160gqvX103/4VxMTSnIJCCTq0hNx3L3Y0X343bbv0wst4yXPla4WkODltfC2uuh5qyT1k7vTGFZiucOj/DzHd3814s9JW0ZptNY5uHNm5p46+Ym1tYHAft9QT5Qz9/imfjM9xc4hPc6vARcAYLOIAFXgIAzQNAVJOAM2OO59ULonk0VVa0XheuzqlrPTWR6nKp1ZZpk+/sLE5im8xOZDk2+yhIAw8BZV1carDc3YZSXL/jvZWWamKOjZIeGMIeHyQ4NEek7yuCx/YR7j5Ic6iebLm1lpWF/n/0OL35Nx2eaOI0MDkcCw6vh8DswfA57GXDiaGhDb1pv97euWQuBulP6/9mMWToZ6I4jo2BlaNYGWKH1skrrZaV2jHpteFKrJ4VGr6pk1NtKsGktbWvO5pyN51JVdop8xlHKnnum7+XcbRdM7H/uCtif3erOhvqN9v8fE37eWdPi8HCcfX25nuu9YXoPHkUdPkjzWC+tkT6qE2OTXj7s8nMkNF6p3uermHaeMZehs7o2UAjXO+qCnFUftHvIdz4Ez/wfqGpn5+Z38r2XvoemaXzmtZ+hJdiyYN8usTxJiH4SQ3SpRB939OM3T7rccrY0jwfd47Gruj1eNK8H3eNF97jRplp6PUXP8aB7vehuNzidU75xMC2TsfQYQ4khRpIjDCWHStrFjCRHJgU1k44RjZA7ZIfqnkqqvFVUuEJUmYrKdJzK+BjOcLfdUzXSx1Sl8RmliGISxSKGRVTZ61EsYmp8PIJJTNnjll2WPaFQZeLXOKHyBPBrDgKagV9zENQcJfcD+ZvutB/XXTiVhrIUKqNQpsIyFSprobK5pamwsgqVMXPjln0/axa2sbLjj6msVdgWpws9GEIPVWCUV6OX16JX1NofzHOTStntUnL3fb6S6oqslbUvbU+OFKr4RlIjjCZHC9V94VR4Vi1mDM2we7J7ckF7LlwvXk7bX/80Y1qKeHrqgD2/Ho8n0CPduKJd+OPdBBPdlKd6cJhxTEuRNRVZS2Hl/nyM4S8E6l2WveylEouZgwQNixX6IBeH+tni7aVDO0qFkcLrMvC7DVwOHU132pP11K6H2nX2G23n0k/IttT29UW446F9/NdLx6bdpj7k4WOva+ddr2nB5Th5oU6+Z/Pe4b3sGdlD52jnpA+8Ze4y1lasZW3lWjoqOqjwTH+1QNpMc3DsIHtH9tI52smhsUOTflcHXAG79Uv5Gtor2mn0n/hEoVY6TfLlXSR2bCfx4ksl/ZyN8nK8mzfj27IZ1+rVSz5HxalIKWV/IB8YmPKmEnOfr2JBjw+wlEnGytg3M0s2v56Jk03HyGQTZEv+LWp2VaLhtPupT/g77dAN+4op3TF+9ZTuxGmM38/3Pl5Imsdjt0oJjLdOsavHSwPx/N/f5VLZuBxYluLxzkF+9OQhHn61f8ZCfa/T4IbNTdx0URtn1Z9Z7/9LWBZkE3a4nY5OCLxzgXgh8C4OwaO5x+Ic99LS43H5YfVV0LEN/NUL8mWJUqmsySOvDnDfzm4e3t1P2px6vpZi6xpC3LCpkTdvajyhyXTnG8JHM3aryvm0o5wydHf6CZhZAskowfgogdgQwUgv/vgojqneg8yjah3sK+YKE5jmbz09WPGp23/oPu/kqvXGRnTP9PN6qHSa7MhILiAfxhwaJDs8gjk8ZN8fHSWdTRHLzXcVy8RITzyBoIGjvAJ/ZSUVoQA1Hh0vYxiM4PAbGD4Hev79p8MD1Wvs4peaDrtXuOvUa1lTLD8Z6BP77dD86VlOBuohRZvWx0qtlw3uAc4LDtPmiVPpc5VeSao77H8zVavGe6yHmmY8MbOo4sPQ+5IdmPe9bLe3KeZwQ806OzCv2wgVK+Z9kiSVNTk4GGNvX5QDB3sZ3r2XzIH9+I910RAdxFClv49ShpOjwVqOBOs4HKyjO1BD5jgtWS5YVcn/eecqgr+5GdDgbd/le/vuZmf/TpqDzXz6NZ/GmMekseLUcUaG6IvVzmWiM7Enet7gd76DMs2pQ3CvB83tKV0WheBLHVgqpRhLjdnBei5gz9/ywXvGOv4JgqArmKtcL8OhLKLZGNFMnFg2TiQTzYVJRV/rdJeHaqUrLsNVqI4IOAMllyRONb7oE/YsA/mgPf9zzPeTHU2NFsL32QbtuqaXVrIXBeyFinZX8Iz7Hhfke/+NHIbRQzByGHP4EGa4F9O0yFoK07KXWUuRUQajzjoGnfX0G/X0UMtRVUWLM8LZzh5WqSPUJg/i1dLoxf9PGE77DXbtOjs4r2pf+NnXTyO7esb42oP7eGj31Cd9AZorvNx81RretrlpQSoklVL0x/vZM7KHvSN72Tuyl3imtC2Fz+mzK80r7ND8RNqxZMwMB8MH6RzppHO0k4NjByf9bvY5fYXWL2sq1tAUaDqh/1dVOk1y927i23eQePGFkoDXKAvh3bQJ75YtuNvb0Qx5Q52nTBNzZMQOxvv7yQ4O2suBQTsoP85Jd6OiAkdNDY6aGozKCvtkhVJ2+zFLAQosy76vsMM7FMqy7N9RCrsiVeXH7G0sZZLMJElk4yQzCRKZOIlMglTGDluSuXXTMtGUKkz6p+X2qancOqBl0+iZJO5sGrel8CgNNxpuzYnbV43bX4fbW43TcKErLXdcCpU7LixVGLOPvei+ssa/1qLnaZp+nErxkD1/Ryhkt1BZxn3Fl6tIMsN/Pn+UHz11mAMDsRm3bavy8YEL2njneS2U+U6DPqmWObkKfFLgPVWFeC4on+JS+3nRHXao5vQVLX129WJ+3enPLXPb5Ldzh8CQk0GLZSyR4TcvHePend08dWCaqukimgYXrqrihs1NXLuxnpBn8f6/ybfXimaiRNKRwjKWiRFJRwrr4XR4/qG7lcWrFAHTIphNE0jHCSQjBJUigEEAnaCWW2Lg99XgqFgxt6p1pTBHRkqD9e5uMr19ub+FkxnVVbhygbrKmmSHhzCHhskOD2GFI5O2T1uZktA8RZZEwEki4CIRdJIIugnVNlJfWUub38NKLYl39NDUE2wGau338/kq87KW5RP+noCu4Th/7Bzk8c5Bntw/xNA8JgPdurKSi9urSycDTY4V2sAU+qynp+ij73BD5arSiUv91YtTwZ+KjAfmvS+XziMD9u/w6jV2YF5/tn18J/n3ciJt0nl0mMMvvMrwK6+S3r8fV08XVqL075Kp6fT6q0r6qsdck0/sffLqDm5Ofw9GDsEFf8lY02a++NQXiWfjvHn1m7lmxTUn9esRS+uMDNHBnlj0/PPP5xvf+AZgTyza2trKxz72sWknFo3H4/zyl78sjF100UWcc845MrHoGU4pRSQTYTgxPB60F68nh2d9eaGmaXbwnQu//U4/QWcQv8s/aTx/XyawWBhZK0s4HS5UsOcnayuuap9L0F7mLiu0i6lwV1DmLqPSU1kYD7lDZ1bQnknaV2IUheuMHi70Ojwuh8e+5Dofmleukg/C8/BC1yj//OBeHts7MO02K6v9/PVVa3jTuY2zmgCs2EhypNCeZe/IXsZSpZdSugwXayrW0FHRQUdFB82B5pN2ojRjZTgSPsK+0X3sG9nHwbGDk34Xex1eVpWvoqO8g/aKdpoDzfOuHlGZDMlXXyWxfTuJF14oqQTTg0G8m87Ft2UL7o6OMyJQV5kM2aGh8SryohYs2aEhMGeowtJ1HFVVdlBeW1MIzB01NTiqquYV/iazyUK/8ZIJOpMjjKXH5nTVEoDP4Su0AyvLtVPJn0zN/573O/12qD7wKhx5Ao48XRoiuEPQutXuoV5z1mkRHJyuOvuj/OjJQ/zn80cntTub6PKOGj540Qou76ixQ4/lwsxOE3hPrAKPl1aLT+hNfMIM58yBtzMXiE8ay20rJ8xPSd2jCX6xs4d7d3Szp29yMDuRy6Fz9bo6btjcxOUdNSf1Srn5WLDQXSkwU7kTT/lb3J6HC/CiE9DsUD2ATkB3EfTVEAg2EihrIVi+kkBlO8FA/Yw93VUmQ6avrzCBaf5mjo1hKUUqa5HI2L/bHLqGoWs4dB1D17CcGlG/zqAnQ48rxqA7TTzoIhl0EQ+6SPudtPnqWaP7WJM1WRUZwjPaBdaEtj66w37/ng/Mq9eA9/SYn2gomuKJ/UO5avMhjgzPbYJth66xubW8EJqf21w+u3/zSkFsoChY74ThA4V/PyXcITtMr1pt3ypXg2cBMqlM0u5lng/ORw5TetWQZv/c85XmNWtPyiTsc6Usi5GDhzn8/C6Gd+0htX8/meFhYimTdFHLuyFvGV2BWg6H6jkSrGPIW8aFq6r4962HYdfPoPUCuOQWnjr2FP/2yr/h0B387fl/S52/bgm/OnEynbEh+k9+8hNuuukmvvvd73L++edzxx138NOf/pRXX32Vuro6brzxRpqamvjyl78MwBNPPMHll1/OP/7jP/KGN7yB//iP/+BLX/oS27dvZ+PGjbN6TQnRz0xKKeLZeKE9zFByCNMyCxXihaUzgNdx6k+sdTrLWlki6UhJsD4xdB9Ljc0qhNE0jTJXWUm7mJArNGUfRpdxmn5gVMqelC8fqOcD9tig/QG69iw7MK85y760Ty6NWzDPHRrmnx7Yy5MHhqbdZk1tgFuu7uDaDfXTBkGRdIR9I/sKwflgonSCLUMzWF2+2g7NKztoDbZOP2nXSZa1snRFutg3so/O0U72j+4nZZaGQm7Dzery1YVK9ZZgy7yOV2WzJF/dMx6ox8YrVnW/H++55+I9bwuetWtP6RYZViplV4/399vh+GAuLB8cwBwemXEySs3pwKiuLoTjztra8fuVlbP+viil7BOgRQH5VEH5xJ/1dHRNJ+QKFa44Kg7Gi9fn9XvZMu0PmUeegq6nS6vHvBXQshXaLrIDBnkvsORMS/G7V/v54ROHeLxzmskDc4JuB+94TTM3XriCldWL2HpAKbvqLzFsXzKfGIbE6Ph6fNg+cZOOTt+jea4c7vEQ3OmdHHi7/Pa4019aBZ4PweUE+Blv97FwYULS3vDxW3SV+5y84ewG3rq5ifPaKk7Jz0pzDt1TY6h0PNcCKWEvM4mivv4TGC5wevG6QwS81QT9dQQCdQRcIQLOAJryEk04GIs5GInqDIxpHBtR9PeNoY4doyY6RE1iFFM3GPU6CAeSREJRwuWjpDwJDEMvBOsOXaOKICstFxvMLOdmRqm1xjA0HYdhB/CGroG7jExlO1bVWhx1a3HVtBPwefE49VPyZ1gslsryzKFh/rhvkD/uHzruZNJTWdcQ4uLVVVzcXs35KxdwMlDLtOdoG94/XrE+emTqudr8NblQPVexXrkKnNO39wHsvyWDe+33M70v2fufuO+y5vFK89p1p0xLnuzwMKnOTkZe2cvgrldJdB0lmswQTmaJ5OY8ORKsY8fKzfzn312O/tDn7b93b/seSjf41gvfYvfQblaVr+KWLbec8v/OxdTO2BAd4Jvf/Ca33347vb29bNq0ia9//ets3boVgCuuuIIVK1bwgx/8oLD93Xffzec+9zkOHTrEmjVr+OpXv8r1118/69eTEF2I059pmYVAp6RPe3K8fcxYeoy5/EotbtkzaaKj0zF0z6bsDwPyxuOke2L/IP/8wF6eOzwy7TbrGkJ88uoOXr+ulqSZZP/ofvYM72HPyB56oj0l22potIXa6Ki0W7SsKlu1bK+WMS2To9GjdI50sm90H/tH95PIll7W6TJcrCxbyZqKNawpX0NrqBWnPrevR2WzpPbtI759O4kdO7Gi48Gp7vPhPfccvFu24DnrLDTn8vteWbHYtP3JzbGZPzRqHk9pFXn+VlszpwnOMlaGocQQg4lBBuIDDCQGGEwM0hXupTs8gIWFoYGuafZNL1rPTwAKeByeKQPx4vVFm/fCzELfS3D4STj6rF15mOersiubWi+yP9zK78JFNRJL89PnurjzqcMcHZm5Bcma2gA3XrSCt21uWrgAJM/MQGKkNBCftByZXO15PIWAO1/lPVUluG88BHd6S8NwOaEtFohpKZ4+OMS9O7r5zUu9RFLH/7fcUunlLec2ccPmJtprT5HJFOchX4RVErCnxohFuomMdRGJ9hCLDRBJDBHJxIgqk6xSWJbCVArTUphKI66cRE0nceUigYukcmMWzUWkLBfK8oDlQVkuNOcoulHaHkRHUZZ205zWOCuTYktmhIAq/VkpNI6qGvarRvarRjqtJgYoY/JcXWDoGj6XQcDtwJ+7BdwGfpdj8lhhfcJY0baLcZVC8WSgT3QOsf3ICFlrbvFYS6WXi1fbleYXrq6iOrCI1djZtF2wVFyxPrHNCgCaHYAXV6yHmu0QPj8Z6MCrk0/K+mvswLxuoz0p6GlyhYEVi5E6cJDel3fzw7sepSXaj2HZJwwuuXgjDRW78TVoaK//PNRvZCgxxBef/iJpM8271r6Ly5ovW+KvQJwMZ3SIvtgkRBdCAFjKIpwKT+rLnn+jHM1EiabtCpXjTWo7lZLQ3RUsXOkQcoXwu/ynX+guTohSisf2DvDPD+7lxaMTZ7LPorsH0N3HqK8ZprUuToXfgVb0oagx0Fjoa766fDU+p29xv4AFYimL7mh3oVK9c7RzUg93p+5kZdlKu696RTsrQyvndJJAmSapzk4S27cT37GjpNeo7vPiOfscfFs241m3btH6VSulsMLhor7kRe1XBgdLquinovv9OGprcVRX51qv1OKoqcZRa08QPdtAOm2m7ZA8McBgfJD+RD8DcTssH0mOFK7wSWRMBiIpBiIpRhPp3BXDGsr0okzfFDc/uvLj0gK4DDduh47LoeN2GEXrOq7c/YmPTxzLb+926riM0n24nQYuw35s0usY+vStPcwM9L44Hqhniyoz/TV2dXrrBVCxUgL1k2hXzxg/fOIQ9+3sIZWdfjJEXYOr19dx04UruHB11dxPukxVPR4fmRyQT9XndjruEPgqwVuZW1aMLz3l49XiDq+0DRLLUjJj8vDufu7d2c2je/rJmMePHs5uKuMtmxp587mN1IaOUz17ilNKMRBJ0TUS58hwnCNDCY4Mx+kajtM/NIwj1kWjdowaRy/VxgBlxhBZPUNSVyR1RSK3TOoWY7qDUd1JgvFgPcX4exkXWSozTlrTsD4dZ2MminvCjyOJm/2qgf1WE52qkQOqgSRL06LDZej4c+H6VMH8lCF8bmxymO+wW9hYij19Ef7YaU8G+szB4eO28pqo0u/iolyl+cWrq2mtWmbvj9Mxu/VLcY/1xPHnLgDAU5arNM+1aAnUntxjXWJKKTb/rwfJjo5xwbFdvLZvN69p8FGb7cXQxghedRX+m/4O3eXi90d/z0/3/BSX4eKzWz9LlbdqqQ9fLDAJ0ReRhOhCiLlQSpE0k3agnokQTUfHLwMtXi8ak9BdzJdSigdeOcZXH/4jhyOd6J5j6K5+NK3031SVt5rrOrZwbccWOio6CLqCS3TEJ5dSip5YT6FSvXO0k+iEUMvQDFaUrSi0f1lZthK3MbsPkcqycoH6DhI7dmCOjZ/A0DwevGefjXfLZrwbNpxwoJ6faGxSb/LcTaVmbnVilJVN7k2eu+m+2X8oTGQTk6rJ8+sT++cXjh1FLGUyHLUYGHUzNObBygZR2RAqG7RvphdY/sGgyygO7fMBvVEy5jNM1pgHWJt+mZWpV3GTLlTVJ9zV9FVsYbDyPDLBZtzO0uDf4zQo8zqp8Lmo8LnwuqRi+HgypsVvX+7lh08cmvGKHIAKn5N3n9/K+y9oo6l88kRjgF3tlxgprRQ/kepxw1kajBfWi5becns7IU4TI7E0//XSMe7b2c2zh2b+/xLsE1sXt1fz1s1NXLOhnsBCXxWySOLpLF3DdjieD8i78usjcZKZ6U/uTaaoZZQWrZ9mbYCW3K1KG8s9qkhpkDAskroiqusMGEHqrDRtqQyOCS/Vr8rZr5roVE3sV410qyrUKfB3dz48Th2HrhOdxZURxXwug/NXVhaqzc+qDy6veTFmIz5cFKznwvVM3L4KqW79eIuWUNMZd1L//d97utDazZ1N8Xc1Y1x5+PdYXbvA4UFfvZXAlVfgv/xyvv7qv3Jg7ADrq9bzl+f+pbR1Oc1IiL6IJEQXQpxMU4buUwXwCxS659vJ5Nfzk+BODOKXazsPMR4U59uzdI50kswm6Y+kODAYI57KokwfZqoBK1mPlWpAmfbl0xeuquJT13TwmhWVS/xVLA6lFH3xvpJK9YnBr67ptIXaCqH6qrJVeBzHr45TSpE+cMBu+bJ9B+bIeGigud14Nm7At2ULno0b0d1Th/QqmyU7NJwLxvtLg/LBQcjO8P+6pmFUVtgV5fke5TU1GNU1OGqqp33NqcQysUIF+UBioLDen+ifdBJiIq/DS42vhmpPNbGEn84ejecPmBwddILlYarLwk9nLjKco+3ntfpeztH342T8A/0xVcWz1lqetc7iGFNXObkdOuU+O1Qv9zkp97qo8Dsp97ko9xaN+1xU5JblPidO4/QMRor1R5L8+9Nd/Pjpw/RHZj6JtLEpxE0XtPGmdUE8mbHFqR7Pj7kCZ1xQIUSxruE49+3s5uc7utk/MPOVUWAHoNesr+etm5u4ZE31svp9ZlqKvnCyJCQfXyYYjC7Q5L3TMHSN1WUam0IR1ntHWOUcopl+KjO9+A0Th6HZVxrqDsyKlSTL2okGVzMWWEEEP9GUSSyVJZrKEsvd8mOF8fQUY6ksc+x8ckpw6BqbWsYnA93UMsvJQE8lStknfj3lZ/xVTF/+9W6++/sDhftXrq3h/72rg9g/vY/I7lGyfnvCVM3txjr/HL4Veo6oT+cD6z/A1oatS3jkYqFJiL6IJEQXQiwnSikS2YQ9qZGE7mcEpRSDicHCRKD7RvdNCjZ9Dh8dlR2sLlvD4WMhvv/7EQ4PTd8X+PKOGj51TQfnNJef5KNfXpRSDCQGCpXq+0b2MZoaLdlG0zRag60lofrx2t0opUgfPERix3bi27djDo1fWqs5nXg2bsSzcQNWPI45OEimvx9zcJDs0DBYM1SpOQwcVdVT9id3VFXNaSLPaCZaqCDPB+X5NizxbHzG5wdcAWq8NVR7q6n11VLtrabGW0OZq4qXupLcv6uXB1/pO26wmecydJyGRtq0ZnX5/6nKTZpztf2cr7/K2fpBDMZ/Fx9VNTxrncULalWu362GiYGJThYDC50s+qyrBgNuR2n4ng/Zvbl1vx3IF28T8jiXfcWdUortR0b50ZOH+PVLxwr/XpxkKSdKuRalgggVWpQqPcoFDRrn12nUOeNoUj0uxJJSSrGrJ8zPd3Tzixd6GJjF34hKv4s3ndPADZub2NQy+3k4TkQ4meHIUJyj+bYruYC8a9geO9l/pyr9LloqvLRU+mgturVU+mgo8+CY6qSCUhDptSej9JRB5coF/f2klCKZsQqBeiGEnyZwLx6LpbPEJob3c2yrspDOqg9ycXs1l7RX89qVlafsVQ9i7n7xQg83//uOwv2aoJtnP/t6ePgfUMdeJuG9lPDuMJmjRwHoTw/xfGOKnte08snrv0jIJfnf6UJC9EUkIboQ4lQ2m9A9nA7bjy9Qe5mAM4Df6beXLn8hbC8e8zv8GDLR2bTGUmOFSvO9I3sZSZZeGu0yXLSXtxf6mjcFm9C18Q9ZWdPiZ9u7+f8e3kf36PRh+tXr6/jk1R2sazgz/74ppRhKDtE52sm+ETtUH06W9pbU0GgONhdC9dXlq/E7/TPuM3P4MPHtO0js2E52YHDGY9BcrskBeW7dqKhAm2UVkVKKsdTY5JA8134lZc4cXpS5y6jx1thV5bmQPL/udYy3wYinszy2Z4D7d/Xy8Kv9RJKzCykrfE5ev66ObRvquWRNNR6n/f+/aSnSWYt01iKVNUllrdzNzI3Zt/TEsYxJ2rRIZSx7OWEslV9O2o9ZtL/x1zzZ75i9JNmk7+e12h426IdKAvWZKLRCoJ4P2U0MTKXn1u3QPb9uFq8rvSiY13P7MQpLhYbL5cLjcuF2u/C5XXg8bnxuNz63C5/Xg9/jIuD14Pfay5DXjcftQtMdoDvsCSt1w17XjNKxkvuO2VVnKwWpMKnwIH94cS+/f2EPo0P9VGhRKrQI5USp0KL4Gf+95nboNJX7aKrw4HZM8XdFqseFWHJZ0+LJA0P8fEc397/cO6tQdUWVj7dssickXVk9/d/d48mYFsdGk0UBud1qJV9VPhrPHH8nJ8Bl6DRXesfD8QpfITBvqfQS9Jz+J+csSxHPmBOC9ynC9qJAPpqevnp+pjkwmiu8XNJezUXt1Vy02JOBimXlwECU1/3TYyVjz/zPq6jtfgh23An1Z6Ou/CzJXa8Quf9+kvv2sn90Pwkzib7xLK688X/iXrlyiY5eLCQJ0ReRhOhCiDNJSeheNGFqOBMmlo4tWOgOdhuI4mA96Aza913jgXshfHcF8Dl8p21/ulgmxr6RfewZtkPzvnhfyeOGZrCybCVrK9fSUdFBW6gNh378Spp01uKnz3Xxzd910htOTrvdG85u4Jar19Bee3r2Sp+L4eRwSaX6YKI0BNfQaAg0sKZiDWvK7VB9uh7zSikyR4+S2L6dVOd+jPKy3GSeuUk9a2rQy8pm/e/aUhYjyZFJvcnz7Vcy1vRBgIZGhafCDsh9NdR6a6n2VVPttW8z9YUfiaV5aHcf9+/q4w/7Bmb88FqssczDNRvq2bahnteuqJi6mm4ZUEqRzYX5EwP8QrhfFMzbQX1pGF98EmDyeumYnomxOrWbDZldNJpHUaYdcc82WF9quqbhNDSchp67aThyy/Gx4vv2Utf00tA9f9N0e2llSISH6B6K0D2aIGPO/O8s4PPR0NBIc2MThr9SqseFOEXE01kefKWP+3b28NjeAcxZ9A3Z1FLODZsaeeO5jZNCUaUUo/FMaUheFJb3jCZn9RonoiboLqkgt8NyL61VPuqCnmV/1c+pJmNaxFNmIWiPprIk0ybNFb7lNxmoWDKWpTj71vtLTtp9/4Ov5crGLPzqFvu9x9u/B067WCR14ABHf/FT9j7+XyigNdRK7dmvJbTtGtzr1p22n0PPBBKiLyIJ0YUQYnr50D2aiRLLxIhl7KA9H7jnQ/j8eDQTJZFJoJj7nycNrVDZXgjfZwjd/U4/HsOzLN/wpMwUnaOd7B3ey96RvRyNHC35nmhotIRaWFthh+ary1ef0OSwyYzJXU8f4VuP7p+2f6euwVs2NfHXV61hxQlUfJ1uxlJjdpX66D46RzonneAAqPfXs6Z8TaFSvcxdNu/Xy1pZRpIj9Cf6GYwPllSWDyWGZjxppWkaVZ4qanw1k9qvVHmrcOqzDxOPjSV4YFcf9+/q5emDw7MOINbUBtiWC843NoWW5f9/y41lKcLJDCOxNKOxJGOxJGOxBGPxFJF4gnA8RSSRJJpbxhJJ4sk0yXQaBxZGLoAfXyoMzSwZd2ChY+HAzC0tdM2+bxT2Ubwf++bQsqX3i5+fv69Zk45DZ3IAbujahHC9dH00nmYgkkIBEXyMqgAjKsgIAXudIHE9yGvXr+YtF57N+hWNUj0uxCluMJriv148xr07u9lxZPS42xu6xmVrqlldE6BrZLztylwnlJwrr9OgJVdNPrHtSnOFTyaFFmKZeud3niiZ7Pi/X9PBx65sh1/+NUT74NJPQcv5Jc/5zVN30vXLu1mxP0pHWTuGZuBsaSF07Ta8mzfP+ipRsXxIiL6IJEQXQoiFZVom8WzcDtZzLWUK4XturOR+JkoyO30V9UwMzSgJ2Se2mfE77f7uxSH8yejvnrEyHBo7VGjPcmjsEJYqDZnq/fWFSvM15WuO24d7PuLpLD968jDffWw/I9NcvmzoGm/f0sTHX7eGlkqp5pkonA7TOdJZaAFzLHZs0ja1vlrWVKyxW8CUr6HcU17yeMbMMJQcKqkkz1eXDyWHmOntm6EZdvW4r5pab21J+5UKT8WsrlCYTmd/lPt39fLArl5eODp2/CfknNtSzrYNdquW1TWBeb++mJt01mIskWE0nmYkbi9H4xlG4mlG8+OxDKOJ8fGReIb0LK8kODFq2mC+EOxrpcG+QmNUBRglgElpINVU7uUDF7bxJ69pocI//xOKQojl69BgjHt3dnPfzh4ODh5/QtKFpGnQEPLQMiEkz69XB1xyUliIU9Ctv9jFD544VLh/7YZ6vvOB8+D5H8Ce38CqK+GCj5Q8J2Nm+Mdn/pGxvi6uOhzk7P1ZVDoNgKOmhuA1V+PfuhXNJe9HThUSoi8iCdGFEGLpZa3seDX7FCF7vvK9eDxtpuf1Wi7DNWPoXlztnl+fGFxayqIr0lVoz7J/dP+kVhuVnspCaN5R0XFC1ctzFUlm+MEfD/GvfzgwbU9rp6HxJ69t4WNXrqG+zLNox3aqiaajdI52Fm7dke5JV1pUe6tpDbUSTUcZSAwwmhyd8WoMp+4sqSYvXq/wVJT0vz8RSilePDrG/bt6uX9XL/sHZhdaGLrGBasq2bahnmvW18u/j1NMIm3aQXt8PIAfiacZS9jV8CPxDGOJovF4htFE5qS3Q5jKJe3V3HTRCl53Vi2GtEMQ4oyglOKFo2Pcu6ObX77Qw1Bsfu/nJgq6HeMBeZUdkLdU2NXlTRXeqedUEEKc0u5+rotP3/Ni4X5LpZc/fOZ1cOxFeOSL4CmHt35n0pVtB0YP8LXnv4ZC8Vcdf0rjCz1EH3kEK2a/VzbKQgRedxWByy5F93oRy5uE6ItIQnQhhDg1pc30pAr3fEuZqUL3E+nv7nF4CoG623DTFekikS2d0DPoChYmAu2o7KDaW70QX+YJGYtn+N7jB/h/jx+cdpIvl0Pn/Vvb+MsrVlMTlMmZjieeiRcC9X0j+ya16slzG+5COF5cTV7rqyXkOnltULKmxTMHh+2K81f6ODY2u6s8PE6dy9bUsG1DPVetq6XcJ9U3ZxLLUkRSWcYKFe0TQ/fxSvexomB+thPPFvO7DN5+XjM3Xtgm8zQIcYbLmBaPdw5y745u7t/VSzIz/ZU0hq7RWO6ZVEWen8yz3OeUanIhzjCv9IS5/ut/KBl74fPXUOYG/vNPIZuCbV+CqtWTnnv33rt5rOsxKj2VfPaCz+LMQuyPfyTy4EOYI3aLGN3nxX/ZZQRf9zoMyQuXLQnRF5GE6EIIcWZQSpE0k5NayszUZiaWjk1bUex1eGkvb2dt5VrWVqyl3l+/bD+8DcfSfPf3+/nhE4em/YDqdRrceFEbH7lstbRTmIN4Js7BsYN0R7spd5dT7bPD8oAzsGj/HpIZk9/vHeD+XX08/Gofo9O08pko5HHw+nV1XLOhnss7aqTnq5izrGnlAvZcdXusqOp9Qhsal0Pnio4a3n5eM0GPTAYqhCgVS2V54JVefr93kLRplfQlb6300VDmWbYTWAshlkbGtNjw+ftJF01WfteHt3LR6mr4/f+Go8/C2e+Es98x6bkpM8UXn/oiw8lhLm+5nHd2vBMAlc0Sf/ZZwg88QPZYLwCa04HvwgsJvv71OGtrF+eLE7MmIfoikhBdCCHEdJRSxLPxkoA9no3T4G+gOdCMoZ9aoWN/JMm3H93Pj58+Mm3fZL/L4E8vWcmfXrqKMq8EXcvVWCLDI6/2c/+uXh7dM0AiM7urLOpCbq5Zb08MunVVJU4JJIQQQgghxCnqTd94nJe6x+f6+ez16/jwZatg/+/g6e9C5Wq49ktTPnf30G7+Zee/oKFxy3m3sKp8VeExpRTJF18k/Nv7SR88aA9qGr7XnEdw2zZczc0n9esSsych+iKSEF0IIcSZ5thYgm/+rpOfPtdFxpz6rUTI4+DDl67iQ5esJOCe/2SWYuH0h5M88Eof9+/q5cn9Q2Rn2cN6VbWfazbUs21DHec2l6NL72khhBBCCHEa+Nufvci/P9NVuH/DpkbuePdmSIzAz3OTir71O+CtmPL5d75yJ08fe5o6Xx1/c/7f4DRKi4iUUqT27SNy/wMkd+0qjHs2bCC47Rrca9Ys26uRzxQSoi8iCdGFEEKcqbqG43zjd/v4z+3d004qWOFz8pHLV3PjhSuk3ccSODQYK0wMuqNrlNm+89vYFGLb+nqu3VhPe+3itZYRQgghhBBisdz51GH+7t6XC/fbawM89MnL7Tu//Z8wvB+2fgRWXznl8+OZOF946guE02G2rdjGm1a/adrXSnd1EXngAeLPPU/+Tblr5UpC127Dc8458n57iUiIvogkRBdCCHGmOzgY4/97aC/3vdAzbUhbHXDz0StW896trXicEqafLEopdvWEeWBXL/fv6mNPX2RWz9M1eO2KSrZtqOeaDXU0V/hO8pEKIYQQQgixtHYcGeGt33qicF/TYNdt2/C5HPDi3fDyPdByPlz6qWn3sbN/J9976Xvoms6nX/tpWoItM75mpr+f6MMPE3viCVTGnmTd0VBP6Jpr8L32tWgOuYp3MUmIvogkRBdCCCFs+/oi3PHQPv7rpWPTblMf8vCx17Xzrte04HJIP+2FYFqK5w+P8NuXe3nglV6OjiRm9TyXQ+fS9mq2bajnqnW1VAXcJ/lIhRBCCCGEWD4SaZMNf/9bii+q/c+/vIjz2ipgaD/c/z/B4Ya3/z8wpg+3v/fS99jZv5OWYAv//TX/fVZzX5ljY0QeeYToY4+hEkkAjIoKgle/Hv/FF6O75b35YpAQfRFJiC6EEEKU2tUzxtce3MdDu/um3aa5wsvNr1vDm85txOPU5fLFOUplTZ7oHOL+Xb08+EofQ7H0rJ4XdDu48qxatm2o5/K1NdKvXgghhBBCnNGu+dpj7O2LFu7/w1s2cOOFK+yWKz//C0iOwZWfhYZzpt3HWGqMLz71ReLZOG9e/WauWXHNrF/fiseJ/uFxor97GHMsDIDu9xO48koCV1yBEfDP+2sTxych+iKSEF0IIYSY2gtdo/zzg3t5bO/AjNs5DY2Qx0nQ4yDocRLyOgi6c8vceP7xkHf8/vhzHDiM07+qPZrK8sir/dy/q5dH9wwQTWVn9bzqgJur19exbUMdF66uwu2QdjpCCCGEEEIA3PKTnfx8R3fh/p+8poWvvCMXmD/1bTjwKKy9Hs67acb9PHXsKf7tlX/DoTv42/P/ljp/3ZyOQ6XTxJ5+msgDD5IdsD8/aS4X/ksuJnj11Tgqpp7cVJwYCdEXkYToQgghxMyeOzTMPz2wlycPDJ201/C5jJKw3Q7jJwTwE0L4YFEw73cZy7IafjCa4qFX+rh/Vy9/7BwibVqzel5LpZdrN9SzbUM9m1srMPTl97UJIYQQQgix1L73hwN84b92F+5vaAzxXzdfat858jQ8/s8QqIM3f33G/Sil+NYL32L30G5Wla/ili23zOvzhbIsEjt2EP7t/WS6uuxBw8B//msJXnMNzoaGOe9TTE9C9EUkIboQQggxO090DvJPD+7l+cMjS30ok+gaBNz5kN1JKB/ETwrei6rli7YLehwLNmFq13Cc+3f18sCuPp47PFzSo3EmZ9UH2ZYLztc1BJflSQEhhBBCCCGWkyf3D/Ge//NU4b7T0Nh127X2/E2ZBPznn4GVhTd+DUKNM+5rKDHEF5/+ImkzzbvWvovLmi+b93EppUjt3k34/gdI7dlTGPeeew7BbdfiXrVy3vsW42ab60oTTCGEEEIsmovaq7lwdRWP7R3g/3t4HzuOjC71IRVYCsLJLOFkFpjdxJwTuRx6Sfhe3JpmYiua4jA+5HESSWZ5MFdx/sqx8KxeT9PgvNaKQnDeWuWb13ELIYQQQghxplrfWBqcZkzF3r4IG5vKwOmF2nXQ+xJ0bz9uiF7lreItq9/C3Xvv5t7Oe9lQtYEqb9W8jkvTNDzr1+NZv57UwYNEHniQxM6dJF54kcQLL+Jes4bgtm14NqyX4plFICG6EEIIIRaVpmlcsbaWK9bWMhbPMBJPE0lmCSczRJIZwon8+vgyPx5J5Za58exsS7QXSTprMRhNMxid3SSf8+E0NC5aXc22DfW8fn0ttUHPSXstIYQQQgghTndlXietlT6ODMcLY6/0hO0QHaBxsx2i92yHdW887v4ua76M5/ue58DYAX6y5yf85bl/ecIht3vlStx/8edkenuJPPAgsWeeJrVvH6l9+3A2NxPadg3eLVvQDJn76GSRdi4LQNq5CCGEEItPKUUiYxZC9rFcuB5Ojofs4cQ0YXz+/iwn5lxqPpfBlWtruWZDHVeeVUvI41zqQxJCCCGEEOK08dEfP8+vX+ot3L/xwjb+4S0b7TuRXvjlX4NmwNu/B67jX/3ZF+vjy898mayV5cb1N3J+w/kLerzZkRGiDz9M9A+Po1IpABw11QSvvhr/BReguVwL+nqnM2nnIoQQQojTmqZp+FwOfC4HdaH5VWObliKaGg/bpwzhU6Vh/MTHU9nZTfQ5V5V+F69fV8u2DfVc3F69YP3WhRBCCCGEEKU2NJaVhOi7eoraKwbrIdgAkWPQ+yK0XnDc/dX567hu5XX8cv8vuWffPZxVdRYh18IV3joqKih/xzsIXnsd0cceJfq7R8gODDJy178z9qtfEXzdVQQuuxTdJ+0eF4qE6EIIIYQ4Yxm6RpnXSZl3/pXdqWy+Gn5ypXs+dC8N6SdWx2cxc21pmsq9XLOhjm0b6nlNWwUOQ1+oL1UIIYQQQggxjQ0T+qK/0hPGtBSGnmvD0rgZ9hyz+6LPIkQHuKr1Knb07+Bo5Ch377mbPz37Txf6sDECfsre8AaCr389sT8+QeShhzCHhxm7917C9/+WwGWXE7zyCozy8gV/7TONhOhCCCGEECfA7TBwBwyqA+55PV8pRTxtkjEtyrxOmRRICCGEEEKIRbahsazkfiJjcnAwRnttwB5oOg/2/Bp6doBSMIv37A7dwfvWvY+vPvtVdvTvYGf/TjbVbjoJRw+6203wdVcSuOxS4s89T+SB+8n0HCNy//1EHn4I/4UXErz6apy1tSfl9c8EUt4khBBCCLGENE3D73ZQ7nNJgC6EEEIIIcQSqAm6qQuVFsXs6hkr2uAscHggFYah/bPeb0uwhWvargHgp3t+SjwTP84zTozmcOC/YCt1f/d3VP/VR3GtXgVZk9gfHqf3729l8P/8H9JHjpzUYzhdSYguhBBCCCGEEEIIIYQ4o22cUI1e0hfdcEDDufZ6z/Y57ffaFddS66slnA7z886fn+hhzoqmaXjPPpu6T3+a2v/+KTxnbwSlSDy/nb4vfZmBr3+d5J49KKUW5XhOBxKiCyGEEEIIIYQQQgghzmgT+6K/3D1WukHTFnvZPbcQ3Wk4ef+696Oh8WTPk7w6/OqJHOacudvbqfmrv6Luc5/Dd/75oOskX9nNwNfuoP8rXyW+Y4eE6bMgIboQQgghhBBCCCGEEOKMtqFpciV6SbjcsAnQYOQgxIfntO9V5au4rOUyAO7afRcpM3WCRzt3ruYmqv7bh2j4h9sIXHE5mtNJ+tAhhr77r/Teehvx559f9GM6lUiILoQQQgghhBBCCCGEOKNNrEQfS2Q4OpIYH/CWQ9Vqe71nx5z3/+bVb6bSU8lwcphf7v/lCRzpiXFUV1Px7nfT8KUvErruWnSfl2xfH9mBgSU7plOBhOhCCCGEEEIIIYQQQogzWlO5l3Kfs2SspC86QONmeznHvugAbsPNe856DwCPdT3GgdED8zrOhWIEg5S95S00fPGLlL39bQQuu2xJj2e5kxBdCCGEEEIIIYQQQghxRtM0bVI1+q6eafqi974EZmbOr7Guah1bG7aiUPx494/JzGMfC033egldfTW6z7fUh7KsSYguhBBCCCGEEEIIIYQ4421snNwXvUTFSvBWQDYF/a/M6zXetuZtBF1B+uJ9/PbQb+d7qGKRSYguhBBCCCGEEEIIIYQ4462fUIn+cveESnRNG2/p0j33li4AfqefP1n7JwA8ePhBuiJd89qPWFwSogshhBBCCCGEEEIIIc54G5tKK9H7Iyn6I8nSjRpzLV26nwel5vU6m2o3sal2E5ayuGv3XZiWOa/9iMUjIboQQgghhBBCCCGEEOKMt7LKj89llIxNaulSfzboDogNQLh73q/1zo534nP46Ip08fCRh+e9H7E4JEQXQgghhBBCCCGEEEKc8XRdY33DhMlFJ7Z0cXqgdr293rNj3q9V5i7jbR1vA+DXB39NX6xv3vsSJ5+E6EIIIYQQQgghhBBCCAFsmNAXfVIlOkBTvqXL/Pqi522t38q6qnVkrSx3vXoXap7tYcTJJyG6EEIIIYQQQgghhBBCABsm9EV/uWds8kb5vugDr0I6Nu/X0jSNd699Ny7Dxf7R/fyh+w/z3pc4uSREF0IIIYQQQgghhBBCCCZXoncNJxiLZ0o3CtZBqBGUBcdePKHXq/JW8ZbVbwHg3s57GU4On9D+xMkhIboQQgghhBBCCCGEEEIAa2qDuIzSyHTXsRmq0bufP+HXvKz5MlaVrSJtpvmPV/9D2rosQxKiCyGEEEIIIYQQQgghBOBy6HTUB0rGXpmpL/qxnWBZJ/SamqbxvnXvw6E7eGXoFZ7tffaE9icWnoToQgghhBBCCCGEEEIIkbOxcUJf9O4pKtGr14LTB6kIDHWe8GvW+eu4buV1ANyz7x7C6SmCe7FkJEQXQgghhBBCCCGEEEKInIl90XdNVYluOKDhHHu9Z/uCvO5VrVfRHGwmnolz9567F2SfYmFIiC6EEEIIIYQQQgghhBA5G5pKK9H3D0RJpM3JGzadZy+7FyZEd+gO3rfufWiaxo7+Hezs37kg+xUnTkJ0IYQQQgghhBBCCCGEyFlXH0LXxu9bCnb3TlGN3nAuoMHoYYgNLchrtwRbuLrtagB+uuenxDPxBdmvODESogshhBBCCCGEEEIIIUSO12WwuqZ0ctFdU/VF95RBdbu93rNjwV7/uhXXUeurJZwO8/POny/YfsX8SYguhBBCCCGEEEIIIYQQRTZOaOkyZV90gMYt9nKB+qIDOA0n71/3fjQ0nux5kleHX12wfYv5kRBdCCGEEEIIIYQQQgghikycXPTlnikq0QEaN9vL3pcgm16w119VvorLWi4D4K7dd5EyUwu2bzF3EqILIYQQQgghhBBCCCFEkQ2NpZXoe3ujpLP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      "text/plain": [
       "<Figure size 1500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#as overlay\n",
    "from stumpy import motifs, match\n",
    "import matplotlib.pyplot as plt\n",
    "%matplotlib inline\n",
    "\n",
    "def visualize_motifs(time_series, motif_distances, motif_indices, subsequence_length, max_neighbors=5):\n",
    "    n_motifs = len(motif_indices)\n",
    "    fig, axs = plt.subplots(n_motifs, 1, figsize=(15, 5*n_motifs), sharex=False)\n",
    "    if n_motifs == 1:\n",
    "        axs = [axs]\n",
    "    \n",
    "    for i, (motif_idxs, distances, ax) in enumerate(zip(motif_indices, motif_distances, axs)):\n",
    "        # Extract the first index if motif_idxs is an array or list\n",
    "        main_motif_idx = motif_idxs[0] if isinstance(motif_idxs, (list, np.ndarray)) else motif_idxs\n",
    "        \n",
    "        # Extract the motif sequence\n",
    "        motif = time_series[main_motif_idx:main_motif_idx+subsequence_length]\n",
    "        \n",
    "        # Plot the main motif\n",
    "        ax.plot(range(subsequence_length), motif, label=f'Motif {i+1}', linewidth=3)\n",
    "        \n",
    "        # Plot neighbors\n",
    "        for j, (neighbor_idx, dist) in enumerate(zip(motif_idxs[1:], distances[1:])):\n",
    "            if j >= max_neighbors:\n",
    "                break\n",
    "            neighbor = time_series[neighbor_idx:neighbor_idx+subsequence_length]\n",
    "            similarity = 1 - dist  # Convert distance to similarity\n",
    "            ax.plot(range(subsequence_length), neighbor, \n",
    "                    label=f'Neighbor {j+1} (Distance: {dist:.2f})', \n",
    "                    alpha=0.7)\n",
    "        \n",
    "        ax.set_title(f'Motif {i+1} and its Neighbors')\n",
    "        ax.legend()\n",
    "        ax.set_xlabel('Subsequence Index')\n",
    "        ax.set_ylabel('Value')\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "visualize_motifs(time_series=timeseries_sr, motif_distances=motif_distances, motif_indices=motif_indices, subsequence_length=m)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.series.Series'>\n",
      "DatetimeIndex: 1949 entries, 2024-02-12 09:31:00-05:00 to 2024-02-16 15:59:00-05:00\n",
      "Series name: vwap\n",
      "Non-Null Count  Dtype  \n",
      "--------------  -----  \n",
      "1949 non-null   float64\n",
      "dtypes: float64(1)\n",
      "memory usage: 30.5 KB\n"
     ]
    }
   ],
   "source": [
    "timeseries_sr.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x2000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Visualize on the whole timeseries\n",
    "import numpy as np\n",
    "from matplotlib.patches import Rectangle\n",
    "import matplotlib.colors as mcolors\n",
    "\n",
    "def visualize_motifs_on_timeseries(time_series, motif_distances, motif_indices, subsequence_length):\n",
    "    n_motifs = len(motif_indices)\n",
    "    fig, axs = plt.subplots(n_motifs, 1, figsize=(15, 5*n_motifs), sharex=True)\n",
    "    if n_motifs == 1:\n",
    "        axs = [axs]\n",
    "    \n",
    "    # Define a color for each motif\n",
    "    colors = plt.cm.rainbow(np.linspace(0, 1, n_motifs))\n",
    "    \n",
    "    for i, (motif_idxs, distances, ax, color) in enumerate(zip(motif_indices, motif_distances, axs, colors)):\n",
    "        # Plot the entire time series\n",
    "        ax.plot(time_series.values, color='gray', alpha=0.5)\n",
    "        \n",
    "        # Extract the main motif index\n",
    "        main_motif_idx = motif_idxs[0] if isinstance(motif_idxs, (list, np.ndarray)) else motif_idxs\n",
    "        \n",
    "        # Plot the main motif as a rectangle\n",
    "        rect = Rectangle((main_motif_idx, min(time_series)), subsequence_length, max(time_series) - min(time_series),\n",
    "                         facecolor=color, alpha=0.7, label=f'Motif {i+1}')\n",
    "        ax.add_patch(rect)\n",
    "        \n",
    "        # Plot neighbors\n",
    "        nb = 0\n",
    "        for neighbor_idx, dist in zip(motif_idxs[1:], distances[1:]):\n",
    "            nb += 1\n",
    "            similarity = 1 - dist  # Convert distance to similarity\n",
    "            # Use similarity to determine the alpha of the color 1 - (0.7 / 5) * x\n",
    "            neighbor_color = mcolors.to_rgba(color, alpha=1 - (0.7 / 5) * dist)\n",
    "            rect = Rectangle((neighbor_idx, min(time_series)), subsequence_length, max(time_series) - min(time_series),\n",
    "                             facecolor=neighbor_color, label=f'Neighbor {nb} (Similarity: {similarity:.2f})')\n",
    "            ax.add_patch(rect)\n",
    "\n",
    "        # # Adjust the limits of the plot so the rectangle is visible\n",
    "        # ax.set_xlim(0, len(time_series))\n",
    "        # ax.set_ylim(min(time_series) - 10, max(time_series) + 10)\n",
    "\n",
    "        ax.set_title(f'Motif {i+1} and its Neighbors')\n",
    "        ax.legend()\n",
    "        ax.set_xlabel('Time')\n",
    "        ax.set_ylabel('Value')\n",
    "        ax.autoscale()\n",
    "    \n",
    "    plt.tight_layout()\n",
    "    plt.show()\n",
    "\n",
    "visualize_motifs_on_timeseries(timeseries_sr, motif_distances, motif_indices, m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Unanchored chain\n",
    "\n",
    "Unanchored chains could be used for trending data."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "timeseries_sr_trending = t1data.get('vwap')\n",
    "matrix_profile_tr = stumpy.stump(timeseries_sr_trending, m)\n",
    "\n",
    "#for trend data we can use \n",
    "all_chain_set, unanchored_chain = stumpy.allc(matrix_profile_tr[:, 2], matrix_profile_tr[:, 3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
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       ".toolbox-button {\n",
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       "\tdisplay: flex;\n",
       "\tbackground-color: transparent;\n",
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       ".toolbox-button:active {\n",
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       ".context-menu-item:hover {\n",
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       "\tcolor: var(--color);\n",
       "\tbackground-color: transparent;\n",
       "}\n",
       ".topbar-button:hover {\n",
       "\tbackground-color: var(--hover-bg-color)\n",
       "}\n",
       "\n",
       ".topbar-button:active {\n",
       "\tbackground-color: var(--click-bg-color);\n",
       "\tcolor: var(--active-color);\n",
       "\tfont-weight: 500;\n",
       "}\n",
       "\n",
       ".switcher-button:active {\n",
       "\tbackground-color: var(--click-bg-color);\n",
       "\tcolor: var(--color);\n",
       "\tfont-weight: normal;\n",
       "}\n",
       "\n",
       ".active-switcher-button {\n",
       "\tbackground-color: var(--active-bg-color) !important;\n",
       "\tcolor: var(--active-color) !important;\n",
       "\tfont-weight: 500;\n",
       "}\n",
       "\n",
       ".topbar-textbox {\n",
       "\tmargin: 0px 18px;\n",
       "\tfont-size: 16px;\n",
       "\tcolor: var(--color);\n",
       "}\n",
       "\n",
       ".topbar-textbox-input {\n",
       "\tbackground-color: var(--bg-color);\n",
       "\tcolor: var(--color);\n",
       "\tborder: 1px solid var(--color);\n",
       "}\n",
       "\n",
       ".topbar-menu {\n",
       "\tposition: absolute;\n",
       "\tdisplay: none;\n",
       "\tz-index: 10000;\n",
       "\tbackground-color: var(--bg-color);\n",
       "\tborder-radius: 2px;\n",
       "\tborder: 2px solid var(--border-color);\n",
       "\tborder-top: none;\n",
       "\talign-items: flex-start;\n",
       "\tmax-height: 80%;\n",
       "\toverflow-y: auto;\n",
       "}\n",
       "\n",
       ".topbar-separator {\n",
       "\twidth: 1px;\n",
       "\theight: 20px;\n",
       "\tbackground-color: var(--border-color);\n",
       "}\n",
       "\n",
       ".searchbox {\n",
       "\tposition: absolute;\n",
       "\ttop: 0;\n",
       "\tbottom: 200px;\n",
       "\tleft: 0;\n",
       "\tright: 0;\n",
       "\tmargin: auto;\n",
       "\twidth: 150px;\n",
       "\theight: 30px;\n",
       "\tpadding: 5px;\n",
       "\tz-index: 1000;\n",
       "\talign-items: center;\n",
       "\tbackground-color: rgba(30 ,30, 30, 0.9);\n",
       "\tborder: 2px solid var(--border-color);\n",
       "\tborder-radius: 5px;\n",
       "\tdisplay: flex;\n",
       "\n",
       "}\n",
       ".searchbox input {\n",
       "\ttext-align: center;\n",
       "\twidth: 100px;\n",
       "\tmargin-left: 10px;\n",
       "\tbackground-color: var(--muted-bg-color);\n",
       "\tcolor: var(--active-color);\n",
       "\tfont-size: 20px;\n",
       "\tborder: none;\n",
       "\toutline: none;\n",
       "\tborder-radius: 2px;\n",
       "}\n",
       "\n",
       ".spinner {\n",
       "\twidth: 30px;\n",
       "\theight: 30px;\n",
       "\tborder: 4px solid rgba(255, 255, 255, 0.6);\n",
       "\tborder-top: 4px solid var(--active-bg-color);\n",
       "\tborder-radius: 50%;\n",
       "\tposition: absolute;\n",
       "\ttop: 50%;\n",
       "\tleft: 50%;\n",
       "\tz-index: 1000;\n",
       "\ttransform: translate(-50%, -50%);\n",
       "\tdisplay: none;\n",
       "}\n",
       "\n",
       ".legend {\n",
       "\tposition: absolute;\n",
       "\tz-index: 3000;\n",
       "\tpointer-events: none;\n",
       "\ttop: 10px;\n",
       "\tleft: 70px;\n",
       "\tdisplay: none;\n",
       "\tflex-direction: column;\n",
       "}\n",
       ".legend-toggle-switch {\n",
       "\tborder-radius: 4px;\n",
       "\tmargin-left: 10px;\n",
       "\tpointer-events: auto;\n",
       "}\n",
       ".legend-toggle-switch:hover {\n",
       "\tcursor: pointer;\n",
       "\tbackground-color: rgba(50, 50, 50, 0.5);\n",
       "}&lt;/style&gt;\n",
       "    &lt;script&gt;/*!\n",
       " * @license\n",
       " * TradingView Lightweight Charts™ v4.1.3\n",
       " * Copyright (c) 2024 TradingView, Inc.\n",
       " * Licensed under Apache License 2.0 https://www.apache.org/licenses/LICENSE-2.0\n",
       " */\n",
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n=this.zs.Ur(0===i.priceLineSource);n.qr||(t.kt=!0,t.st=n.Si,t.O=this.zs.oh(n.O),t.et=i.priceLineWidth,t.Nt=i.priceLineStyle)}}class xi extends J{constructor(t){super(),this.jt=t}zi(t,i,n){t.kt=!1,i.kt=!1;const s=this.jt;if(!s.kt())return;const e=s.W(),r=e.lastValueVisible,h=&quot;&quot;!==s._h(),l=0===e.seriesLastValueMode,a=s.Ur(!1);if(a.qr)return;r&amp;&amp;(t.Zt=this.uh(a,r,l),t.kt=0!==t.Zt.length),(h||l)&amp;&amp;(i.Zt=this.dh(a,r,h,l),i.kt=i.Zt.length&gt;0);const o=s.oh(a.O),_=y(o);n.t=_.t,n.Si=a.Si,i.At=s.$t().Bt(a.Si/s.Dt().Vt()),t.At=o,t.O=_.i,i.O=_.i}dh(t,i,n,s){let e=&quot;&quot;;const r=this.jt._h();return n&amp;&amp;0!==r.length&amp;&amp;(e+=`${r} `),i&amp;&amp;s&amp;&amp;(e+=this.jt.Dt().fh()?t.ph:t.mh),e.trim()}uh(t,i,n){return i?n?this.jt.Dt().fh()?t.mh:t.ph:t.Zt:&quot;&quot;}}function Si(t,i,n,s){const e=Number.isFinite(i),r=Number.isFinite(n);return e&amp;&amp;r?t(i,n):e||r?e?i:n:s}class yi{constructor(t,i){this.bh=t,this.wh=i}gh(t){return 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0!==h?h:i.topColor,Cs:null!==(l=a.Cs)&amp;&amp;void 0!==l?l:i.bottomColor}},Baseline:(t,i,n,s)=&gt;{var e,r,h,l,a,o;const _=f(t(n,s));return{oe:_.Ot[3]&gt;=i.baseValue.price?i.topLineColor:i.bottomLineColor,Ce:null!==(e=_.Ce)&amp;&amp;void 0!==e?e:i.topLineColor,Te:null!==(r=_.Te)&amp;&amp;void 0!==r?r:i.bottomLineColor,Me:null!==(h=_.Me)&amp;&amp;void 0!==h?h:i.topFillColor1,xe:null!==(l=_.xe)&amp;&amp;void 0!==l?l:i.topFillColor2,Se:null!==(a=_.Se)&amp;&amp;void 0!==a?a:i.bottomFillColor1,ye:null!==(o=_.ye)&amp;&amp;void 0!==o?o:i.bottomFillColor2}},Line:(t,i,n,s)=&gt;{var e,r;const h=f(t(n,s));return{oe:null!==(e=h.O)&amp;&amp;void 0!==e?e:i.color,lt:null!==(r=h.O)&amp;&amp;void 0!==r?r:i.color}},Histogram:(t,i,n,s)=&gt;{var e;return{oe:null!==(e=f(t(n,s)).O)&amp;&amp;void 0!==e?e:i.color}}};class Oi{constructor(t){this.$h=(t,i)=&gt;void 0!==i?i.Ot:this.Nr.Bn().Uh(t),this.Nr=t,this.qh=Di[t.Yh()]}Ws(t,i){return this.qh(this.$h,this.Nr.W(),t,i)}}var Ai;!function(t){t[t.NearestLeft=-1]=&quot;NearestLeft&quot;,t[t.None=0]=&quot;None&quot;,t[t.NearestRight=1]=&quot;NearestRight&quot;}(Ai||(Ai={}));const Bi=30;class Vi{constructor(){this.Xh=[],this.Kh=new Map,this.Zh=new Map}Gh(){return this.Ys()&gt;0?this.Xh[this.Xh.length-1]:null}Jh(){return this.Ys()&gt;0?this.Qh(0):null}An(){return this.Ys()&gt;0?this.Qh(this.Xh.length-1):null}Ys(){return this.Xh.length}Li(){return 0===this.Ys()}Yr(t){return null!==this.tl(t,0)}Uh(t){return this.il(t)}il(t,i=0){const n=this.tl(t,i);return null===n?null:Object.assign(Object.assign({},this.nl(n)),{ie:this.Qh(n)})}Qs(){return this.Xh}sl(t,i,n){if(this.Li())return null;let s=null;for(const e of n){s=zi(s,this.el(t,i,e))}return s}J(t){this.Zh.clear(),this.Kh.clear(),this.Xh=t}Qh(t){return this.Xh[t].ie}nl(t){return this.Xh[t]}tl(t,i){const n=this.rl(t);if(null===n&amp;&amp;0!==i)switch(i){case-1:return this.hl(t);case 1:return this.ll(t);default:throw new TypeError(&quot;Unknown search 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t=this.al(i*Bi),s=this.ol((i+1)*Bi-1);e=this._l(t,s,n),_.set(i,e)}s=zi(s,e)}{const t=this.al(o),i=this.ol(l);s=zi(s,this._l(t,i,n))}return s}}function zi(t,i){if(null===t)return i;if(null===i)return t;return{ul:Math.min(t.ul,i.ul),cl:Math.max(t.cl,i.cl)}}class Ei{constructor(t){this.dl=t}K(t,i,n){this.dl.draw(t)}fl(t,i,n){var s,e;null===(e=(s=this.dl).drawBackground)||void 0===e||e.call(s,t)}}class Ii{constructor(t){this.Ge=null,this.mn=t}gt(){var t;const i=this.mn.renderer();if(null===i)return null;if((null===(t=this.Ge)||void 0===t?void 0:t.vl)===i)return this.Ge.pl;const n=new Ei(i);return this.Ge={vl:i,pl:n},n}ml(){var t,i,n;return null!==(n=null===(i=(t=this.mn).zOrder)||void 0===i?void 0:i.call(t))&amp;&amp;void 0!==n?n:&quot;normal&quot;}}function Li(t){var i,n,s,e,r;return{Zt:t.text(),Si:t.coordinate(),xi:null===(i=t.fixedCoordinate)||void 0===i?void 0:i.call(t),O:t.textColor(),t:t.backColor(),kt:null===(s=null===(n=t.visible)||void 0===n?void 0:n.call(t))||void 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0:i.call(t))&amp;&amp;void 0!==n?n:[];if((null===(s=this.Ml)||void 0===s?void 0:s.vl)===e)return this.Ml.pl;const r=this.Nr.$t().St(),h=e.map((t=&gt;new Ni(t,r)));return this.Ml={vl:e,pl:h},h}Tn(){var t,i,n,s;const e=null!==(n=null===(i=(t=this.kl).priceAxisViews)||void 0===i?void 0:i.call(t))&amp;&amp;void 0!==n?n:[];if((null===(s=this.xl)||void 0===s?void 0:s.vl)===e)return this.xl.pl;const r=this.Nr.Dt(),h=e.map((t=&gt;new Fi(t,r)));return this.xl={vl:e,pl:h},h}Tl(){var t,i,n,s;const e=null!==(n=null===(i=(t=this.kl).priceAxisPaneViews)||void 0===i?void 0:i.call(t))&amp;&amp;void 0!==n?n:[];if((null===(s=this.Sl)||void 0===s?void 0:s.vl)===e)return this.Sl.pl;const r=e.map((t=&gt;new Ii(t)));return this.Sl={vl:e,pl:r},r}Pl(){var t,i,n,s;const e=null!==(n=null===(i=(t=this.kl).timeAxisPaneViews)||void 0===i?void 0:i.call(t))&amp;&amp;void 0!==n?n:[];if((null===(s=this.yl)||void 0===s?void 0:s.vl)===e)return this.yl.pl;const r=e.map((t=&gt;new Ii(t)));return this.yl={vl:e,pl:r},r}Rl(t,i){var n,s,e;return null!==(e=null===(s=(n=this.kl).autoscaleInfo)||void 0===s?void 0:s.call(n,t,i))&amp;&amp;void 0!==e?e:null}pr(t,i){var n,s,e;return null!==(e=null===(s=(n=this.kl).hitTest)||void 0===s?void 0:s.call(n,t,i))&amp;&amp;void 0!==e?e:null}}function ji(t,i,n,s){t.forEach((t=&gt;{i(t).forEach((t=&gt;{t.ml()===n&amp;&amp;s.push(t)}))}))}function Hi(t){return t.Cn()}function $i(t){return t.Tl()}function Ui(t){return t.Pl()}class qi extends Ri{constructor(t,i,n,s,e){super(t),this.Et=new Vi,this.Eh=new Mi(this),this.Dl=[],this.Ol=new si(this),this.Al=null,this.Bl=null,this.Vl=[],this.zl=[],this.El=null,this.Il=[],this._n=i,this.Ll=n;const r=new xi(this);this.en=[r],this.Ih=new ti(r,this,t),&quot;Area&quot;!==n&amp;&amp;&quot;Line&quot;!==n&amp;&amp;&quot;Baseline&quot;!==n||(this.Al=new ai(this)),this.Nl(),this.Fl(e)}S(){null!==this.El&amp;&amp;clearTimeout(this.El)}oh(t){return this._n.priceLineColor||t}Ur(t){const i={qr:!0},n=this.Dt();if(this.$t().St().Li()||n.Li()||this.Et.Li())return i;const s=this.$t().St().qs(),e=this.Ct();if(null===s||null===e)return i;let r,h;if(t){const t=this.Et.Gh();if(null===t)return i;r=t,h=t.ie}else{const t=this.Et.il(s.ui(),-1);if(null===t)return i;if(r=this.Et.Uh(t.ie),null===r)return i;h=t.ie}const l=r.Ot[3],a=this.js().Ws(h,{Ot:r}),o=n.Rt(l,e.Ot);return{qr:!1,_t:l,Zt:n.Ni(l,e.Ot),ph:n.Wl(l),mh:n.jl(l,e.Ot),O:a.oe,Si:o,ie:h}}js(){return null!==this.Bl||(this.Bl=new Oi(this)),this.Bl}W(){return this._n}Lh(t){const i=t.priceScaleId;void 0!==i&amp;&amp;i!==this._n.priceScaleId&amp;&amp;this.$t().Hl(this,i),C(this._n,t),void 0!==t.priceFormat&amp;&amp;(this.Nl(),this.$t().$l()),this.$t().Ul(this),this.$t().ql(),this.mn.bt(&quot;options&quot;)}J(t,i){this.Et.J(t),this.Yl(),this.mn.bt(&quot;data&quot;),this.un.bt(&quot;data&quot;),null!==this.Al&amp;&amp;(i&amp;&amp;i.Xl?this.Al.Wr():0===t.length&amp;&amp;this.Al.Fr());const n=this.$t()._r(this);this.$t().Kl(n),this.$t().Ul(this),this.$t().ql(),this.$t().Nh()}Zl(t){this.Vl=t,this.Yl();const i=this.$t()._r(this);this.un.bt(&quot;data&quot;),this.$t().Kl(i),this.$t().Ul(this),this.$t().ql(),this.$t().Nh()}Gl(){return this.Vl}lh(){return this.zl}Jl(t){const i=new Pi(this,t);return this.Dl.push(i),this.$t().Ul(this),i}Ql(t){const i=this.Dl.indexOf(t);-1!==i&amp;&amp;this.Dl.splice(i,1),this.$t().Ul(this)}Yh(){return this.Ll}Ct(){const t=this.ta();return null===t?null:{Ot:t.Ot[3],ia:t.ot}}ta(){const t=this.$t().St().qs();if(null===t)return null;const i=t.Rs();return this.Et.il(i,1)}Bn(){return this.Et}ah(t){const i=this.Et.Uh(t);return null===i?null:&quot;Bar&quot;===this.Ll||&quot;Candlestick&quot;===this.Ll||&quot;Custom&quot;===this.Ll?{me:i.Ot[0],be:i.Ot[1],we:i.Ot[2],ge:i.Ot[3]}:i.Ot[3]}na(t){const i=[];ji(this.Il,Hi,&quot;top&quot;,i);const n=this.Al;return null!==n&amp;&amp;n.kt()?(null===this.El&amp;&amp;n.Hr()&amp;&amp;(this.El=setTimeout((()=&gt;{this.El=null,this.$t().sa()}),0)),n.jr(),i.push(n),i):i}Cn(){const t=[];this.ea()||t.push(this.Ol),t.push(this.mn,this.Eh,this.un);const i=this.Dl.map((t=&gt;t.Fh()));return t.push(...i),ji(this.Il,Hi,&quot;normal&quot;,t),t}ra(){return this.ha(Hi,&quot;bottom&quot;)}la(t){return this.ha($i,t)}aa(t){return this.ha(Ui,t)}oa(t,i){return this.Il.map((n=&gt;n.pr(t,i))).filter((t=&gt;null!==t))}Gi(t){return[this.Ih,...this.Dl.map((t=&gt;t.Wh()))]}Tn(t,i){if(i!==this.qi&amp;&amp;!this.ea())return[];const n=[...this.en];for(const t of this.Dl)n.push(t.jh());return this.Il.forEach((t=&gt;{n.push(...t.Tn())})),n}Ji(){const t=[];return this.Il.forEach((i=&gt;{t.push(...i.Ji())})),t}Rl(t,i){if(void 0!==this._n.autoscaleInfoProvider){const n=this._n.autoscaleInfoProvider((()=&gt;{const n=this._a(t,i);return null===n?null:n.Th()}));return ki.Ph(n)}return this._a(t,i)}ua(){return this._n.priceFormat.minMove}ca(){return this.da}Rn(){var t;this.mn.bt(),this.un.bt();for(const t of this.en)t.bt();for(const t of this.Dl)t.bt();this.Eh.bt(),this.Ol.bt(),null===(t=this.Al)||void 0===t||t.bt(),this.Il.forEach((t=&gt;t.Rn()))}Dt(){return f(super.Dt())}yt(t){if(!((&quot;Line&quot;===this.Ll||&quot;Area&quot;===this.Ll||&quot;Baseline&quot;===this.Ll)&amp;&amp;this._n.crosshairMarkerVisible))return null;const i=this.Et.Uh(t);if(null===i)return null;return{_t:i.Ot[3],ht:this.fa(),At:this.va(),Pt:this.pa(),Tt:this.ma(t)}}_h(){return this._n.title}kt(){return this._n.visible}ba(t){this.Il.push(new Wi(t,this))}wa(t){this.Il=this.Il.filter((i=&gt;i.Cl()!==t))}ga(){if(this.mn instanceof qt!=!1)return t=&gt;this.mn.Le(t)}Ma(){if(this.mn instanceof qt!=!1)return t=&gt;this.mn.Ne(t)}ea(){return!ht(this.Dt().xa())}_a(t,i){if(!P(t)||!P(i)||this.Et.Li())return null;const n=&quot;Line&quot;===this.Ll||&quot;Area&quot;===this.Ll||&quot;Baseline&quot;===this.Ll||&quot;Histogram&quot;===this.Ll?[3]:[2,1],s=this.Et.sl(t,i,n);let e=null!==s?new yi(s.ul,s.cl):null;if(&quot;Histogram&quot;===this.Yh()){const t=this._n.base,i=new yi(t,t);e=null!==e?e.Jn(i):i}let r=this.un.hh();return this.Il.forEach((n=&gt;{const s=n.Rl(t,i);if(null==s?void 0:s.priceRange){const t=new yi(s.priceRange.minValue,s.priceRange.maxValue);e=null!==e?e.Jn(t):t}var h,l,a,o;(null==s?void 0:s.margins)&amp;&amp;(h=r,l=s.margins,r={above:Math.max(null!==(a=null==h?void 0:h.above)&amp;&amp;void 0!==a?a:0,l.above),below:Math.max(null!==(o=null==h?void 0:h.below)&amp;&amp;void 0!==o?o:0,l.below)})})),new ki(e,r)}fa(){switch(this.Ll){case&quot;Line&quot;:case&quot;Area&quot;:case&quot;Baseline&quot;:return this._n.crosshairMarkerRadius}return 0}va(){switch(this.Ll){case&quot;Line&quot;:case&quot;Area&quot;:case&quot;Baseline&quot;:{const t=this._n.crosshairMarkerBorderColor;if(0!==t.length)return t}}return null}pa(){switch(this.Ll){case&quot;Line&quot;:case&quot;Area&quot;:case&quot;Baseline&quot;:return this._n.crosshairMarkerBorderWidth}return 0}ma(t){switch(this.Ll){case&quot;Line&quot;:case&quot;Area&quot;:case&quot;Baseline&quot;:{const t=this._n.crosshairMarkerBackgroundColor;if(0!==t.length)return t}}return this.js().Ws(t).oe}Nl(){switch(this._n.priceFormat.type){case&quot;custom&quot;:this.da={format:this._n.priceFormat.formatter};break;case&quot;volume&quot;:this.da=new ct(this._n.priceFormat.precision);break;case&quot;percent&quot;:this.da=new ut(this._n.priceFormat.precision);break;default:{const t=Math.pow(10,this._n.priceFormat.precision);this.da=new _t(t,this._n.priceFormat.minMove*t)}}null!==this.qi&amp;&amp;this.qi.Sa()}Yl(){const t=this.$t().St();if(!t.ya()||this.Et.Li())return void(this.zl=[]);const i=f(this.Et.Jh());this.zl=this.Vl.map(((n,s)=&gt;{const e=f(t.ka(n.time,!0)),r=e&lt;i?1:-1;return{time:f(this.Et.il(e,r)).ie,position:n.position,shape:n.shape,color:n.color,id:n.id,Gr:s,text:n.text,size:n.size,originalTime:n.originalTime}}))}Fl(t){switch(this.un=new gi(this,this.$t()),this.Ll){case&quot;Bar&quot;:this.mn=new Nt(this,this.$t());break;case&quot;Candlestick&quot;:this.mn=new $t(this,this.$t());break;case&quot;Line&quot;:this.mn=new Zt(this,this.$t());break;case&quot;Custom&quot;:this.mn=new qt(this,this.$t(),d(t));break;case&quot;Area&quot;:this.mn=new Et(this,this.$t());break;case&quot;Baseline&quot;:this.mn=new jt(this,this.$t());break;case&quot;Histogram&quot;:this.mn=new Kt(this,this.$t());break;default:throw Error(&quot;Unknown chart style assigned: &quot;+this.Ll)}}ha(t,i){const n=[];return ji(this.Il,t,i,n),n}}class Yi{constructor(t){this._n=t}Ca(t,i,n){let s=t;if(0===this._n.mode)return s;const e=n.dn(),r=e.Ct();if(null===r)return s;const h=e.Rt(t,r),l=n.Ta().filter((t=&gt;t instanceof 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void this.q_.clear();const i=[];this.q_.forEach(((n,s)=&gt;{t&lt;=n[0].index?i.push(s):n.splice(Rt(n,t,(i=&gt;i.index&lt;t)),1/0)}));for(const t of i)this.q_.delete(t)}Q_(t){let i=[];for(const n of Array.from(this.q_.keys()).sort(((t,i)=&gt;i-t))){if(!this.q_.get(n))continue;const s=i;i=[];const e=s.length;let r=0;const h=d(this.q_.get(n)),l=h.length;let a=1/0,o=-1/0;for(let n=0;n&lt;l;n++){const l=h[n],_=l.index;for(;r&lt;e;){const t=s[r],n=t.index;if(!(n&lt;_)){a=n;break}r++,i.push(t),o=n,a=1/0}if(a-_&gt;=t&amp;&amp;_-o&gt;=t)i.push(l),o=_;else if(this.Y_)return s}for(;r&lt;e;r++)i.push(s[r])}return i}}class gn{constructor(t){this.tu=t}iu(){return null===this.tu?null:new mn(Math.floor(this.tu.Rs()),Math.ceil(this.tu.ui()))}nu(){return this.tu}static su(){return new gn(null)}}function Mn(t,i){return t.weight&gt;i.weight?t:i}class xn{constructor(t,i,n,s){this.e_=0,this.eu=null,this.ru=[],this.fo=null,this.do=null,this.hu=new wn,this.lu=new Map,this.au=gn.su(),this.ou=!0,this._u=new 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mn(n-i+1,n);this.sc(new gn(s))}Du(){const t=this.ec();if(this.mu&lt;t&amp;&amp;(this.mu=t,this.ou=!0),0!==this.e_){const t=.5*this.e_;this.mu&gt;t&amp;&amp;(this.mu=t,this.ou=!0)}}ec(){return this._n.fixLeftEdge&amp;&amp;this._n.fixRightEdge&amp;&amp;0!==this.ru.length?this.e_/this.ru.length:this._n.minBarSpacing}Ou(){const t=this.rc();this.pu&gt;t&amp;&amp;(this.pu=t,this.ou=!0);const i=this.hc();null!==i&amp;&amp;this.pu&lt;i&amp;&amp;(this.pu=i,this.ou=!0)}hc(){const t=this.Tu(),i=this.eu;if(null===t||null===i)return null;return t-i-1+(this._n.fixLeftEdge?this.e_/this.mu:Math.min(2,this.ru.length))}rc(){return this._n.fixRightEdge?0:this.e_/this.mu-Math.min(2,this.ru.length)}Hu(){this.du={ee:this.ee(),Iu:this.Iu()}}$u(){this.du=null}Nu(t){let i=this.lu.get(t.weight);return void 0===i&amp;&amp;(i=new pn((t=&gt;this.lc(t)),this.N_),this.lu.set(t.weight,i)),i.F_(t)}lc(t){return this.N_.formatTickmark(t,this.bo)}sc(t){const i=this.au;this.au=t,bn(i.iu(),this.au.iu())||this._u.m(),bn(i.nu(),this.au.nu())||this.uu.m(),this.nc()}nc(){this.fu=null}gu(){this.nc(),this.lu.clear()}bu(){this.N_.updateFormatter(this.bo)}Mu(){if(!this._n.fixLeftEdge)return;const t=this.Tu();if(null===t)return;const i=this.qs();if(null===i)return;const n=i.Rs()-t;if(n&lt;0){const t=this.pu-n-1;this.Zn(t)}this.Du()}xu(){this.Ou(),this.Du()}}class Sn{K(t,i,n){t.useMediaCoordinateSpace((t=&gt;this.Z(t,i,n)))}fl(t,i,n){t.useMediaCoordinateSpace((t=&gt;this.ac(t,i,n)))}ac(t,i,n){}}class yn extends Sn{constructor(t){super(),this.oc=new Map,this.Et=t}Z(t){}ac(t){if(!this.Et.kt)return;const{context:i,mediaSize:n}=t;let s=0;for(const t of this.Et._c){if(0===t.Zt.length)continue;i.font=t.R;const e=this.uc(i,t.Zt);e&gt;n.width?t.ju=n.width/e:t.ju=1,s+=t.cc*t.ju}let 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this._suggestedBitmapSize},enumerable:!1,configurable:!0}),t.prototype.subscribeSuggestedBitmapSizeChanged=function(t){this._suggestedBitmapSizeChangedListeners.push(t)},t.prototype.unsubscribeSuggestedBitmapSizeChanged=function(t){this._suggestedBitmapSizeChangedListeners=this._suggestedBitmapSizeChangedListeners.filter((function(i){return i!==t}))},t.prototype.applySuggestedBitmapSize=function(){if(null!==this._suggestedBitmapSize){var t=this._suggestedBitmapSize;this._suggestedBitmapSize=null,this._resizeBitmap(t),this._emitSuggestedBitmapSizeChanged(t,this._suggestedBitmapSize)}},t.prototype._resizeBitmap=function(t){var i=this.bitmapSize;Jn(i,t)||(this.canvasElement.width=t.width,this.canvasElement.height=t.height,this._emitBitmapSizeChanged(i,t))},t.prototype._emitBitmapSizeChanged=function(t,i){var n=this;this._bitmapSizeChangedListeners.forEach((function(s){return s.call(n,t,i)}))},t.prototype._suggestNewBitmapSize=function(t){var 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i=this.If.bind(this),s=this.Uf.bind(this);this.hf=()=&gt;{n.removeEventListener(&quot;touchmove&quot;,i),n.removeEventListener(&quot;touchend&quot;,s)},n.addEventListener(&quot;touchmove&quot;,i,{passive:!1}),n.addEventListener(&quot;touchend&quot;,s,{passive:!1}),this.Af(),this.Xd=setTimeout(this.Gf.bind(this,t),240)}const s=this.gf(t,i);this.Sf(s,this.kf.Jf),this.qd||(this.Ud=0,this.qd=setTimeout(this.Cf.bind(this),500),this.Yd=gs(i))}Qf(t){if(0!==t.button)return;const i=this.Df.ownerDocument.documentElement;rs()&amp;&amp;i.addEventListener(&quot;mouseleave&quot;,this.pf),this.Qd=!1,this.Zd=gs(t),this.rf&amp;&amp;(this.rf(),this.rf=null);{const t=this.Hf.bind(this),n=this.mf.bind(this);this.rf=()=&gt;{i.removeEventListener(&quot;mousemove&quot;,t),i.removeEventListener(&quot;mouseup&quot;,n)},i.addEventListener(&quot;mousemove&quot;,t),i.addEventListener(&quot;mouseup&quot;,n)}if(this.cf=!0,this.wf(t))return;const n=this.gf(t);this.Tf(n,this.kf.tv),this.Hd||(this.jd=0,this.Hd=setTimeout(this.Rf.bind(this),500),this.$d=gs(t))}Of(){this.Df.addEventListener(&quot;mouseenter&quot;,this.Bf.bind(this)),this.Df.addEventListener(&quot;touchcancel&quot;,this.Af.bind(this));{const 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0===this.kf.hv||(this.Df.addEventListener(&quot;touchstart&quot;,(t=&gt;this.lv(t.touches)),{passive:!0}),this.Df.addEventListener(&quot;touchmove&quot;,(t=&gt;{if(2===t.touches.length&amp;&amp;null!==this.lf&amp;&amp;void 0!==this.kf.rv){const i=bs(t.touches[0],t.touches[1])/this.af;this.kf.rv(this.lf,i),ws(t)}}),{passive:!1}),this.Df.addEventListener(&quot;touchend&quot;,(t=&gt;{this.lv(t.touches)})))}lv(t){1===t.length&amp;&amp;(this._f=!1),2!==t.length||this._f||this.Kd?this.av():this.ov(t)}ov(t){const i=this.Df.getBoundingClientRect()||{left:0,top:0};this.lf={nt:(t[0].clientX-i.left+(t[1].clientX-i.left))/2,st:(t[0].clientY-i.top+(t[1].clientY-i.top))/2},this.af=bs(t[0],t[1]),void 0!==this.kf.ev&amp;&amp;this.kf.ev(),this.Af()}av(){null!==this.lf&amp;&amp;(this.lf=null,void 0!==this.kf.hv&amp;&amp;this.kf.hv())}nv(t){if(this.ef&amp;&amp;this.ef(),this.wf(t))return;if(!this.vf)return;const i=this.gf(t);this.Tf(i,this.kf._v),this.vf=!hs()}Gf(t){const i=xs(t.touches,f(this.ff));if(null===i)return;const n=this.gf(t,i);this.Sf(n,this.kf.uv),this.tf=!0,this.Kd=!0}wf(t){return t.sourceCapabilities&amp;&amp;void 0!==t.sourceCapabilities.firesTouchEvents?t.sourceCapabilities.firesTouchEvents:Ms(t)&lt;this.df+500}Sf(t,i){i&amp;&amp;i.call(this.kf,t)}Tf(t,i){i&amp;&amp;i.call(this.kf,t)}gf(t,i){const n=i||t,s=this.Df.getBoundingClientRect()||{left:0,top:0};return{clientX:n.clientX,clientY:n.clientY,pageX:n.pageX,pageY:n.pageY,screenX:n.screenX,screenY:n.screenY,localX:n.clientX-s.left,localY:n.clientY-s.top,ctrlKey:t.ctrlKey,altKey:t.altKey,shiftKey:t.shiftKey,metaKey:t.metaKey,cv:!t.type.startsWith(&quot;mouse&quot;)&amp;&amp;&quot;contextmenu&quot;!==t.type&amp;&amp;&quot;click&quot;!==t.type,dv:t.type,fv:n.target,vv:t.view,pv:()=&gt;{&quot;touchstart&quot;!==t.type&amp;&amp;ws(t)}}}}function bs(t,i){const n=t.clientX-i.clientX,s=t.clientY-i.clientY;return Math.sqrt(n*n+s*s)}function ws(t){t.cancelable&amp;&amp;t.preventDefault()}function gs(t){return{nt:t.pageX,st:t.pageY}}function Ms(t){return t.timeStamp||performance.now()}function xs(t,i){for(let n=0;n&lt;t.length;++n)if(t[n].identifier===i)return t[n];return null}function Ss(t){return{Ec:t.Ec,mv:{mr:t.bv.externalId},wv:t.bv.cursorStyle}}function ys(t,i,n){for(const s of t){const t=s.gt();if(null!==t&amp;&amp;t.pr){const e=t.pr(i,n);if(null!==e)return{vv:s,mv:e}}}return null}function ks(t,i){return n=&gt;{var s,e,r,h;return(null!==(e=null===(s=n.Dt())||void 0===s?void 0:s.xa())&amp;&amp;void 0!==e?e:&quot;&quot;)!==i?[]:null!==(h=null===(r=n.la)||void 0===r?void 0:r.call(n,t))&amp;&amp;void 0!==h?h:[]}}class Cs{constructor(t,i,n,s){this.Ei=null,this.gv=null,this.Mv=!1,this.xv=new 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r=this.Vv.canvasElement;r.style.position=&quot;absolute&quot;,r.style.zIndex=&quot;2&quot;,r.style.left=&quot;0&quot;,r.style.top=&quot;0&quot;;const h={tv:this.zv.bind(this),Jf:this.zv.bind(this),$f:this.Ev.bind(this),jf:this.Ev.bind(this),iv:this.Iv.bind(this),Xf:this.Lv.bind(this),qf:this.Lv.bind(this),Pf:this.Nv.bind(this),yf:this.Nv.bind(this),zf:this.Fv.bind(this),_v:this.Wv.bind(this)};this.jv=new ms(this.Vv.canvasElement,h,{Ff:()=&gt;!this._n.handleScroll.vertTouchDrag,Wf:()=&gt;!0})}S(){this.jv.S(),this.Vv.unsubscribeSuggestedBitmapSizeChanged(this.Tv),cs(this.Vv.canvasElement),this.Vv.dispose(),this.Bv.unsubscribeSuggestedBitmapSizeChanged(this.kv),cs(this.Bv.canvasElement),this.Bv.dispose(),null!==this.Ei&amp;&amp;this.Ei.$o().p(this),this.Ei=null}Hv(){return this.Av}P(){return this.mo.fontSize}$v(){const t=this.kc.W();return this.Zr!==t.R&amp;&amp;(this.xv.Qe(),this.Zr=t.R),t}Uv(){if(null===this.Ei)return 0;let t=0;const i=this.$v(),n=f(this.Bv.canvasElement.getContext(&quot;2d&quot;));n.save();const s=this.Ei.Ia();n.font=this.qv(),s.length&gt;0&amp;&amp;(t=Math.max(this.xv.Mi(n,s[0].Za),this.xv.Mi(n,s[s.length-1].Za)));const e=this.Yv();for(let i=e.length;i--;){const s=this.xv.Mi(n,e[i].Zt());s&gt;t&amp;&amp;(t=s)}const r=this.Ei.Ct();if(null!==r&amp;&amp;null!==this.gv){const i=this.Ei.fn(1,r),s=this.Ei.fn(this.gv.height-2,r);t=Math.max(t,this.xv.Mi(n,this.Ei.Ni(Math.floor(Math.min(i,s))+.11111111111111,r)),this.xv.Mi(n,this.Ei.Ni(Math.ceil(Math.max(i,s))-.11111111111111,r)))}n.restore();const h=t||34;return ls(Math.ceil(i.C+i.T+i.V+i.I+5+h))}Xv(t){null!==this.gv&amp;&amp;Jn(this.gv,t)||(this.gv=t,this.yv=!0,this.Bv.resizeCanvasElement(t),this.Vv.resizeCanvasElement(t),this.yv=!1,this.Av.style.width=`${t.width}px`,this.Av.style.height=`${t.height}px`)}Kv(){return f(this.gv).width}Zi(t){this.Ei!==t&amp;&amp;(null!==this.Ei&amp;&amp;this.Ei.$o().p(this),this.Ei=t,t.$o().l(this.ao.bind(this),this))}Dt(){return this.Ei}Qe(){const t=this.Qi.Zv();this.Qi.Cv().$t().A_(t,f(this.Dt()))}Gv(t){if(null===this.gv)return;if(1!==t){this.Jv(),this.Bv.applySuggestedBitmapSize();const t=ss(this.Bv);null!==t&amp;&amp;(t.useBitmapCoordinateSpace((t=&gt;{this.Qv(t),this.Ae(t)})),this.Qi.tp(t,this.Ov),this.ip(t),this.Qi.tp(t,this.Rv),this.np(t))}this.Vv.applySuggestedBitmapSize();const i=ss(this.Vv);null!==i&amp;&amp;(i.useBitmapCoordinateSpace((({context:t,bitmapSize:i})=&gt;{t.clearRect(0,0,i.width,i.height)})),this.sp(i),this.Qi.tp(i,this.Dv))}ep(){return this.Bv.bitmapSize}rp(t,i,n){const s=this.ep();s.width&gt;0&amp;&amp;s.height&gt;0&amp;&amp;t.drawImage(this.Bv.canvasElement,i,n)}bt(){var t;null===(t=this.Ei)||void 0===t||t.Ia()}zv(t){if(null===this.Ei||this.Ei.Li()||!this._n.handleScale.axisPressedMouseMove.price)return;const 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r=this.$v(),h=this.Pv?&quot;right&quot;:&quot;left&quot;;n.forEach((i=&gt;{i.forEach((i=&gt;{i.gt(f(this.Ei)).K(t,r,this.xv,h)}))}))}hp(t){this.Av.style.cursor=1===t?&quot;ns-resize&quot;:&quot;default&quot;}ao(){const t=this.Uv();this.Sv&lt;t&amp;&amp;this.Qi.Cv().$t().$l(),this.Sv=t}qv(){return z(this.mo.fontSize,this.mo.fontFamily)}}function Ts(t,i){var n,s;return null!==(s=null===(n=t.ra)||void 0===n?void 0:n.call(t,i))&amp;&amp;void 0!==s?s:[]}function Ps(t,i){var n,s;return null!==(s=null===(n=t.Cn)||void 0===n?void 0:n.call(t,i))&amp;&amp;void 0!==s?s:[]}function Rs(t,i){var n,s;return null!==(s=null===(n=t.Gi)||void 0===n?void 0:n.call(t,i))&amp;&amp;void 0!==s?s:[]}function Ds(t,i){var n,s;return null!==(s=null===(n=t.na)||void 0===n?void 0:n.call(t,i))&amp;&amp;void 0!==s?s:[]}class Os{constructor(t,i){this.gv=Gn({width:0,height:0}),this.ap=null,this.op=null,this._p=null,this.up=!1,this.cp=new k,this.dp=new k,this.fp=0,this.vp=!1,this.pp=null,this.mp=!1,this.bp=null,this.wp=null,this.yv=!1,this.kv=()=&gt;{this.yv||null===this.gp||this.Hi().Nh()},this.Tv=()=&gt;{this.yv||null===this.gp||this.Hi().Nh()},this.Mp=t,this.gp=i,this.gp.z_().l(this.xp.bind(this),this,!0),this.Sp=document.createElement(&quot;td&quot;),this.Sp.style.padding=&quot;0&quot;,this.Sp.style.position=&quot;relative&quot;;const n=document.createElement(&quot;div&quot;);n.style.width=&quot;100%&quot;,n.style.height=&quot;100%&quot;,n.style.position=&quot;relative&quot;,n.style.overflow=&quot;hidden&quot;,this.yp=document.createElement(&quot;td&quot;),this.yp.style.padding=&quot;0&quot;,this.kp=document.createElement(&quot;td&quot;),this.kp.style.padding=&quot;0&quot;,this.Sp.appendChild(n),this.Bv=us(n,Gn({width:16,height:16})),this.Bv.subscribeSuggestedBitmapSizeChanged(this.kv);const s=this.Bv.canvasElement;s.style.position=&quot;absolute&quot;,s.style.zIndex=&quot;1&quot;,s.style.left=&quot;0&quot;,s.style.top=&quot;0&quot;,this.Vv=us(n,Gn({width:16,height:16})),this.Vv.subscribeSuggestedBitmapSizeChanged(this.Tv);const e=this.Vv.canvasElement;e.style.position=&quot;absolute&quot;,e.style.zIndex=&quot;2&quot;,e.style.left=&quot;0&quot;,e.style.top=&quot;0&quot;,this.Cp=document.createElement(&quot;tr&quot;),this.Cp.appendChild(this.yp),this.Cp.appendChild(this.Sp),this.Cp.appendChild(this.kp),this.Tp(),this.jv=new ms(this.Vv.canvasElement,this,{Ff:()=&gt;null===this.pp&amp;&amp;!this.Mp.W().handleScroll.vertTouchDrag,Wf:()=&gt;null===this.pp&amp;&amp;!this.Mp.W().handleScroll.horzTouchDrag})}S(){null!==this.ap&amp;&amp;this.ap.S(),null!==this.op&amp;&amp;this.op.S(),this.Vv.unsubscribeSuggestedBitmapSizeChanged(this.Tv),cs(this.Vv.canvasElement),this.Vv.dispose(),this.Bv.unsubscribeSuggestedBitmapSizeChanged(this.kv),cs(this.Bv.canvasElement),this.Bv.dispose(),null!==this.gp&amp;&amp;this.gp.z_().p(this),this.jv.S()}Zv(){return f(this.gp)}Pp(t){null!==this.gp&amp;&amp;this.gp.z_().p(this),this.gp=t,null!==this.gp&amp;&amp;this.gp.z_().l(Os.prototype.xp.bind(this),this,!0),this.Tp()}Cv(){return this.Mp}Hv(){return this.Cp}Tp(){if(null!==this.gp&amp;&amp;(this.Rp(),0!==this.Hi().wt().length)){if(null!==this.ap){const t=this.gp.S_();this.ap.Zi(f(t))}if(null!==this.op){const t=this.gp.y_();this.op.Zi(f(t))}}}Dp(){null!==this.ap&amp;&amp;this.ap.bt(),null!==this.op&amp;&amp;this.op.bt()}v_(){return 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s=this.ep();s.width&gt;0&amp;&amp;s.height&gt;0&amp;&amp;t.drawImage(this.Bv.canvasElement,i,n)}Gv(t){if(0===t)return;if(null===this.gp)return;if(t&gt;1&amp;&amp;this.qp(),null!==this.ap&amp;&amp;this.ap.Gv(t),null!==this.op&amp;&amp;this.op.Gv(t),1!==t){this.Bv.applySuggestedBitmapSize();const t=ss(this.Bv);null!==t&amp;&amp;(t.useBitmapCoordinateSpace((t=&gt;{this.Qv(t)})),this.gp&amp;&amp;(this.Yp(t,Ts),this.Xp(t),this.Kp(t),this.Yp(t,Ps),this.Yp(t,Rs)))}this.Vv.applySuggestedBitmapSize();const i=ss(this.Vv);null!==i&amp;&amp;(i.useBitmapCoordinateSpace((({context:t,bitmapSize:i})=&gt;{t.clearRect(0,0,i.width,i.height)})),this.Zp(i),this.Yp(i,Ds))}Gp(){return this.ap}Jp(){return this.op}tp(t,i){this.Yp(t,i)}xp(){null!==this.gp&amp;&amp;this.gp.z_().p(this),this.gp=null}zp(t){this.Ep(this.cp,t)}Ep(t,i){const n=i.localX,s=i.localY;t.M()&amp;&amp;t.m(this.Hi().St().Bu(n),{x:n,y:s},i)}Qv({context:t,bitmapSize:i}){const{width:n,height:s}=i,e=this.Hi(),r=e.q(),h=e._d();r===h?q(t,0,0,n,s,h):Z(t,0,0,n,s,r,h)}Xp(t){const i=f(this.gp).E_().Fh().gt();null!==i&amp;&amp;i.K(t,!1)}Kp(t){const i=this.Hi().Fc();this.Qp(t,Ps,ds,i),this.Qp(t,Ps,fs,i)}Zp(t){this.Qp(t,Ps,fs,this.Hi().Wc())}Yp(t,i){const n=f(this.gp).No();for(const s of n)this.Qp(t,i,ds,s);for(const s of n)this.Qp(t,i,fs,s)}Qp(t,i,n,s){const e=f(this.gp),r=e.$t().Vc(),h=null!==r&amp;&amp;r.Ec===s,l=null!==r&amp;&amp;h&amp;&amp;void 0!==r.mv?r.mv.br:void 0;vs(i,(i=&gt;n(i,t,h,l)),s,e)}Rp(){if(null===this.gp)return;const t=this.Mp,i=this.gp.S_().W().visible,n=this.gp.y_().W().visible;i||null===this.ap||(this.yp.removeChild(this.ap.Hv()),this.ap.S(),this.ap=null),n||null===this.op||(this.kp.removeChild(this.op.Hv()),this.op.S(),this.op=null);const s=t.$t().ed();i&amp;&amp;null===this.ap&amp;&amp;(this.ap=new Cs(this,t.W(),s,&quot;left&quot;),this.yp.appendChild(this.ap.Hv())),n&amp;&amp;null===this.op&amp;&amp;(this.op=new Cs(this,t.W(),s,&quot;right&quot;),this.kp.appendChild(this.op.Hv()))}tm(t){return t.cv&amp;&amp;this.vp||null!==this.pp}im(t){return Math.max(0,Math.min(t,this.gv.width-1))}nm(t){return Math.max(0,Math.min(t,this.gv.height-1))}Ap(t,i,n){this.Hi().Qc(this.im(t),this.nm(i),n,f(this.gp))}Fp(){this.Hi().nd()}Hp(){this.mp&amp;&amp;(this.pp=null,this.Fp())}Np(t,i,n){this.pp=t,this.mp=!1,this.Ap(i.x,i.y,n);const s=this.Hi().Wc();this.bp={x:s.Yt(),y:s.Xt()}}Hi(){return this.Mp.$t()}Lp(t){if(!this.up)return;const i=this.Hi(),n=this.Zv();if(i.D_(n,n.dn()),this._p=null,this.up=!1,i.Zc(),null!==this.wp){const 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this.Um.Up().height}subscribeVisibleTimeRangeChange(t){this.iw.l(t)}unsubscribeVisibleTimeRangeChange(t){this.iw.v(t)}subscribeVisibleLogicalRangeChange(t){this.uu.l(t)}unsubscribeVisibleLogicalRangeChange(t){this.uu.v(t)}subscribeSizeChange(t){this.um.l(t)}unsubscribeSizeChange(t){this.um.v(t)}applyOptions(t){this.wl.Lh(t)}options(){return Object.assign(Object.assign({},O(this.wl.W())),{barSpacing:this.wl.ee()})}nw(){this.iw.M()&amp;&amp;this.iw.m(this.getVisibleRange())}sw(){this.uu.M()&amp;&amp;this.uu.m(this.getVisibleLogicalRange())}ew(t){this.um.m(t.width,t.height)}}function Ce(t){if(void 0===t||&quot;custom&quot;===t.type)return;const i=t;void 0!==i.minMove&amp;&amp;void 0===i.precision&amp;&amp;(i.precision=function(t){if(t&gt;=1)return 0;let i=0;for(;i&lt;8;i++){const n=Math.round(t);if(Math.abs(n-t)&lt;1e-8)return i;t*=10}return i}(i.minMove))}function Te(t){return function(t){if(D(t.handleScale)){const 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&quot;)}legendHandler(t,e=!1){if(!this.ohlcEnabled&amp;&amp;!this.linesEnabled&amp;&amp;!this.percentEnabled)return;const i=this.handler.series.options();if(!t.time)return this.candle.style.color=&quot;transparent&quot;,void(this.candle.innerHTML=this.candle.innerHTML.replace(i.upColor,&quot;&quot;).replace(i.downColor,&quot;&quot;));let s,o=null;if(e){const e=this.handler.chart.timeScale();let i=e.timeToCoordinate(t.time);i&amp;&amp;(o=e.coordinateToLogical(i.valueOf())),o&amp;&amp;(s=this.handler.series.dataByIndex(o.valueOf()))}else s=t.seriesData.get(this.handler.series);this.candle.style.color=&quot;&quot;;let n=&#x27;&lt;span style=&quot;line-height: 1.8;&quot;&gt;&#x27;;if(s){if(this.ohlcEnabled&amp;&amp;(n+=`O ${this.legendItemFormat(s.open,this.handler.precision)} `,n+=`| H ${this.legendItemFormat(s.high,this.handler.precision)} `,n+=`| L ${this.legendItemFormat(s.low,this.handler.precision)} `,n+=`| C ${this.legendItemFormat(s.close,this.handler.precision)} `),this.percentEnabled){let t=(s.close-s.open)/s.open*100,e=t&gt;0?i.upColor:i.downColor,o=`${t&gt;=0?&quot;+&quot;:&quot;&quot;}${t.toFixed(2)} %`;this.colorBasedOnCandle?n+=`| &lt;span style=&quot;color: ${e};&quot;&gt;${o}&lt;/span&gt;`:n+=&quot;| &quot;+o}if(this.handler.volumeSeries){let e;e=o?this.handler.volumeSeries.dataByIndex(o):t.seriesData.get(this.handler.volumeSeries),e&amp;&amp;(n+=this.ohlcEnabled?`&lt;br&gt;V ${this.shorthandFormat(e.value)}`:&quot;&quot;)}}this.candle.innerHTML=n+&quot;&lt;/span&gt;&quot;,this._lines.forEach((i=&gt;{if(!this.linesEnabled)return void(i.row.style.display=&quot;none&quot;);let s,n;if(i.row.style.display=&quot;flex&quot;,s=e&amp;&amp;o?i.series.dataByIndex(o):t.seriesData.get(i.series),s?.value){if(&quot;Histogram&quot;==i.series.seriesType())n=this.shorthandFormat(s.value);else{const t=i.series.options().priceFormat;n=this.legendItemFormat(s.value,t.precision)}i.div.innerHTML=`&lt;span style=&quot;color: ${i.solid};&quot;&gt;▨ ${i.name} 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i=this._listeners.find((i=&gt;i.name===t&amp;&amp;i.listener===e));this._listeners.splice(this._listeners.indexOf(i),1)}_handleHoverInteraction(t){if(this._latestHoverPoint=t.point,h._mouseIsDown)this._handleDragInteraction(t);else if(this._mouseIsOverDrawing(t)){if(this._state!=l.NONE)return;this._moveToState(l.HOVERING),h.hoveredObject=h.lastHoveredObject=this}else{if(this._state==l.NONE)return;this._moveToState(l.NONE),h.hoveredObject===this&amp;&amp;(h.hoveredObject=null)}}static _eventToPoint(t,e){if(!e||!t.point||!t.logical)return null;const i=e.coordinateToPrice(t.point.y);return null==i?null:{time:t.time||null,logical:t.logical,price:i.valueOf()}}static _getDiff(t,e){return{logical:t.logical-e.logical,price:t.price-e.price}}_addDiffToPoint(t,e,i){t&amp;&amp;(t.logical=t.logical+e,t.price=t.price+i,t.time=this.series.dataByIndex(t.logical)?.time||null)}_handleMouseDownInteraction=()=&gt;{h._mouseIsDown=!0,this._onMouseDown()};_handleMouseUpInteraction=()=&gt;{h._mouseIsDown=!1,this._moveToState(l.HOVERING)};_handleDragInteraction(t){if(this._state!=l.DRAGGING&amp;&amp;this._state!=l.DRAGGINGP1&amp;&amp;this._state!=l.DRAGGINGP2&amp;&amp;this._state!=l.DRAGGINGP3&amp;&amp;this._state!=l.DRAGGINGP4)return;const e=h._eventToPoint(t,this.series);if(!e)return;this._startDragPoint=this._startDragPoint||e;const i=h._getDiff(e,this._startDragPoint);this._onDrag(i),this.requestUpdate(),this._startDragPoint=e}}class d{_options;constructor(t){this._options=t}}class c extends d{_p1;_p2;_hovered;constructor(t,e,i,s){super(i),this._p1=t,this._p2=e,this._hovered=s}_getScaledCoordinates(t){return null===this._p1.x||null===this._p1.y||null===this._p2.x||null===this._p2.y?null:{x1:Math.round(this._p1.x*t.horizontalPixelRatio),y1:Math.round(this._p1.y*t.verticalPixelRatio),x2:Math.round(this._p2.x*t.horizontalPixelRatio),y2:Math.round(this._p2.y*t.verticalPixelRatio)}}_drawEndCircle(t,e,i){t.context.fillStyle=&quot;#000&quot;,t.context.beginPath(),t.context.arc(e,i,9,0,2*Math.PI),t.context.stroke(),t.context.fill()}}function p(t,i){const s={[e.LineStyle.Solid]:[],[e.LineStyle.Dotted]:[t.lineWidth,t.lineWidth],[e.LineStyle.Dashed]:[2*t.lineWidth,2*t.lineWidth],[e.LineStyle.LargeDashed]:[6*t.lineWidth,6*t.lineWidth],[e.LineStyle.SparseDotted]:[t.lineWidth,4*t.lineWidth]}[i];t.setLineDash(s)}class u extends d{_point={x:null,y:null};constructor(t,e){super(e),this._point=t}draw(t){t.useBitmapCoordinateSpace((t=&gt;{if(null==this._point.y)return;const e=t.context,i=Math.round(this._point.y*t.verticalPixelRatio),s=this._point.x?this._point.x*t.horizontalPixelRatio:0;e.lineWidth=this._options.width,e.strokeStyle=this._options.lineColor,p(e,this._options.lineStyle),e.beginPath(),e.moveTo(s,i),e.lineTo(t.bitmapSize.width,i),e.stroke()}))}}class _{_source;constructor(t){this._source=t}}class m extends _{_p1={x:null,y:null};_p2={x:null,y:null};_source;constructor(t){super(t),this._source=t}update(){if(!this._source.p1||!this._source.p2)return;const t=this._source.series,e=t.priceToCoordinate(this._source.p1.price),i=t.priceToCoordinate(this._source.p2.price),s=this._getX(this._source.p1),o=this._getX(this._source.p2);this._p1={x:s,y:e},this._p2={x:o,y:i}}_getX(t){return this._source.chart.timeScale().logicalToCoordinate(t.logical)}}class v extends _{_source;_point={x:null,y:null};constructor(t){super(t),this._source=t}update(){const t=this._source._point,e=this._source.chart.timeScale(),i=this._source.series;&quot;RayLine&quot;==this._source._type&amp;&amp;(this._point.x=t.time?e.timeToCoordinate(t.time):e.logicalToCoordinate(t.logical)),this._point.y=i.priceToCoordinate(t.price)}renderer(){return new u(this._point,this._source._options)}}class g{_source;_y=null;_price=null;constructor(t){this._source=t}update(){if(!this._source.series||!this._source._point)return;this._y=this._source.series.priceToCoordinate(this._source._point.price);const t=this._source.series.options().priceFormat.precision;this._price=this._source._point.price.toFixed(t).toString()}visible(){return!0}tickVisible(){return!0}coordinate(){return this._y??0}text(){return this._source._options.text||this._price||&quot;&quot;}textColor(){return&quot;white&quot;}backColor(){return this._source._options.lineColor}}class w extends h{_type=&quot;HorizontalLine&quot;;_paneViews;_point;_callbackName;_priceAxisViews;_startDragPoint=null;constructor(t,e,i=null){super(e),this._point=t,this._point.time=null,this._paneViews=[new v(this)],this._priceAxisViews=[new g(this)],this._callbackName=i}get points(){return[this._point]}updatePoints(...t){for(const e of t)e&amp;&amp;(this._point.price=e.price);this.requestUpdate()}updateAllViews(){this._paneViews.forEach((t=&gt;t.update())),this._priceAxisViews.forEach((t=&gt;t.update()))}priceAxisViews(){return this._priceAxisViews}_moveToState(t){switch(t){case l.NONE:document.body.style.cursor=&quot;default&quot;,this._unsubscribe(&quot;mousedown&quot;,this._handleMouseDownInteraction);break;case l.HOVERING:document.body.style.cursor=&quot;pointer&quot;,this._unsubscribe(&quot;mouseup&quot;,this._childHandleMouseUpInteraction),this._subscribe(&quot;mousedown&quot;,this._handleMouseDownInteraction),this.chart.applyOptions({handleScroll:!0});break;case l.DRAGGING:document.body.style.cursor=&quot;grabbing&quot;,this._subscribe(&quot;mouseup&quot;,this._childHandleMouseUpInteraction),this.chart.applyOptions({handleScroll:!1})}this._state=t}_onDrag(t){this._addDiffToPoint(this._point,0,t.price),this.requestUpdate()}_mouseIsOverDrawing(t,e=4){if(!t.point)return!1;const i=this.series.priceToCoordinate(this._point.price);return!!i&amp;&amp;Math.abs(i-t.point.y)&lt;e}_onMouseDown(){this._startDragPoint=null;if(this._latestHoverPoint)return this._moveToState(l.DRAGGING)}_childHandleMouseUpInteraction=()=&gt;{this._handleMouseUpInteraction(),this._callbackName&amp;&amp;window.callbackFunction(`${this._callbackName}_~_${this._point.price.toFixed(8)}`)}}class y{_chart;_series;_finishDrawingCallback=null;_drawings=[];_activeDrawing=null;_isDrawing=!1;_drawingType=null;constructor(t,e,i=null){this._chart=t,this._series=e,this._finishDrawingCallback=i,this._chart.subscribeClick(this._clickHandler),this._chart.subscribeCrosshairMove(this._moveHandler)}_clickHandler=t=&gt;this._onClick(t);_moveHandler=t=&gt;this._onMouseMove(t);beginDrawing(t){this._drawingType=t,this._isDrawing=!0}stopDrawing(){this._isDrawing=!1,this._activeDrawing=null}get drawings(){return this._drawings}addNewDrawing(t){this._series.attachPrimitive(t),this._drawings.push(t)}delete(t){if(null==t)return;const e=this._drawings.indexOf(t);-1!=e&amp;&amp;(this._drawings.splice(e,1),t.detach())}clearDrawings(){for(const t of this._drawings)t.detach();this._drawings=[]}repositionOnTime(){for(const t of this.drawings){const e=[];for(const i of t.points){if(!i){e.push(i);continue}const t=i.time?this._chart.timeScale().coordinateToLogical(this._chart.timeScale().timeToCoordinate(i.time)||0):i.logical;e.push({time:i.time,logical:t,price:i.price})}t.updatePoints(...e)}}_onClick(t){if(!this._isDrawing)return;const e=h._eventToPoint(t,this._series);if(e)if(null==this._activeDrawing){if(null==this._drawingType)return;this._activeDrawing=new this._drawingType(e,e),this._series.attachPrimitive(this._activeDrawing),this._drawingType==w&amp;&amp;this._onClick(t)}else{if(this._drawings.push(this._activeDrawing),this.stopDrawing(),!this._finishDrawingCallback)return;this._finishDrawingCallback()}}_onMouseMove(t){if(!t)return;for(const e of this._drawings)e._handleHoverInteraction(t);if(!this._isDrawing||!this._activeDrawing)return;const e=h._eventToPoint(t,this._series);e&amp;&amp;this._activeDrawing.updatePoints(null,e)}}class b extends c{constructor(t,e,i,s){super(t,e,i,s)}draw(t){t.useBitmapCoordinateSpace((t=&gt;{if(null===this._p1.x||null===this._p1.y||null===this._p2.x||null===this._p2.y)return;const e=t.context,i=this._getScaledCoordinates(t);i&amp;&amp;(e.lineWidth=this._options.width,e.strokeStyle=this._options.lineColor,p(e,this._options.lineStyle),e.beginPath(),e.moveTo(i.x1,i.y1),e.lineTo(i.x2,i.y2),e.stroke(),this._hovered&amp;&amp;(this._drawEndCircle(t,i.x1,i.y1),this._drawEndCircle(t,i.x2,i.y2)))}))}}class x extends m{constructor(t){super(t)}renderer(){return new b(this._p1,this._p2,this._source._options,this._source.hovered)}}class f extends h{_paneViews=[];_hovered=!1;constructor(t,e,i){super(),this.points.push(t),this.points.push(e),this._options={...a,...i}}setFirstPoint(t){this.updatePoints(t)}setSecondPoint(t){this.updatePoints(null,t)}get p1(){return this.points[0]}get p2(){return this.points[1]}get hovered(){return this._hovered}}class C extends f{_type=&quot;TrendLine&quot;;constructor(t,e,i){super(t,e,i),this._paneViews=[new x(this)]}_moveToState(t){switch(t){case l.NONE:document.body.style.cursor=&quot;default&quot;,this._hovered=!1,this.requestUpdate(),this._unsubscribe(&quot;mousedown&quot;,this._handleMouseDownInteraction);break;case l.HOVERING:document.body.style.cursor=&quot;pointer&quot;,this._hovered=!0,this.requestUpdate(),this._subscribe(&quot;mousedown&quot;,this._handleMouseDownInteraction),this._unsubscribe(&quot;mouseup&quot;,this._handleMouseDownInteraction),this.chart.applyOptions({handleScroll:!0});break;case l.DRAGGINGP1:case l.DRAGGINGP2:case l.DRAGGING:document.body.style.cursor=&quot;grabbing&quot;,this._subscribe(&quot;mouseup&quot;,this._handleMouseUpInteraction),this.chart.applyOptions({handleScroll:!1})}this._state=t}_onDrag(t){this._state!=l.DRAGGING&amp;&amp;this._state!=l.DRAGGINGP1||this._addDiffToPoint(this.p1,t.logical,t.price),this._state!=l.DRAGGING&amp;&amp;this._state!=l.DRAGGINGP2||this._addDiffToPoint(this.p2,t.logical,t.price)}_onMouseDown(){this._startDragPoint=null;const t=this._latestHoverPoint;if(!t)return;const e=this._paneViews[0]._p1,i=this._paneViews[0]._p2;if(!(e.x&amp;&amp;i.x&amp;&amp;e.y&amp;&amp;i.y))return this._moveToState(l.DRAGGING);Math.abs(t.x-e.x)&lt;10&amp;&amp;Math.abs(t.y-e.y)&lt;10?this._moveToState(l.DRAGGINGP1):Math.abs(t.x-i.x)&lt;10&amp;&amp;Math.abs(t.y-i.y)&lt;10?this._moveToState(l.DRAGGINGP2):this._moveToState(l.DRAGGING)}_mouseIsOverDrawing(t,e=4){if(!t.point)return!1;const i=this._paneViews[0]._p1.x,s=this._paneViews[0]._p1.y,o=this._paneViews[0]._p2.x,n=this._paneViews[0]._p2.y;if(!(i&amp;&amp;o&amp;&amp;s&amp;&amp;n))return!1;const r=t.point.x,a=t.point.y;if(r&lt;=Math.min(i,o)-e||r&gt;=Math.max(i,o)+e)return!1;return Math.abs((n-s)*r-(o-i)*a+o*s-n*i)/Math.sqrt((n-s)**2+(o-i)**2)&lt;=e}}class D extends c{constructor(t,e,i,s){super(t,e,i,s)}draw(t){t.useBitmapCoordinateSpace((t=&gt;{const e=t.context,i=this._getScaledCoordinates(t);if(!i)return;e.lineWidth=this._options.width,e.strokeStyle=this._options.lineColor,p(e,this._options.lineStyle),e.fillStyle=this._options.fillColor;const s=Math.min(i.x1,i.x2),o=Math.min(i.y1,i.y2),n=Math.abs(i.x1-i.x2),r=Math.abs(i.y1-i.y2);e.strokeRect(s,o,n,r),e.fillRect(s,o,n,r),this._hovered&amp;&amp;(this._drawEndCircle(t,s,o),this._drawEndCircle(t,s+n,o),this._drawEndCircle(t,s+n,o+r),this._drawEndCircle(t,s,o+r))}))}}class E extends m{constructor(t){super(t)}renderer(){return new D(this._p1,this._p2,this._source._options,this._source.hovered)}}const k={fillEnabled:!0,fillColor:&quot;rgba(255, 255, 255, 0.2)&quot;,...a};class L extends f{_type=&quot;Box&quot;;constructor(t,e,i){super(t,e,i),this._options={...k,...i},this._paneViews=[new E(this)]}_moveToState(t){switch(t){case l.NONE:document.body.style.cursor=&quot;default&quot;,this._hovered=!1,this._unsubscribe(&quot;mousedown&quot;,this._handleMouseDownInteraction);break;case l.HOVERING:document.body.style.cursor=&quot;pointer&quot;,this._hovered=!0,this._unsubscribe(&quot;mouseup&quot;,this._handleMouseUpInteraction),this._subscribe(&quot;mousedown&quot;,this._handleMouseDownInteraction),this.chart.applyOptions({handleScroll:!0});break;case l.DRAGGINGP1:case l.DRAGGINGP2:case l.DRAGGINGP3:case l.DRAGGINGP4:case l.DRAGGING:document.body.style.cursor=&quot;grabbing&quot;,document.body.addEventListener(&quot;mouseup&quot;,this._handleMouseUpInteraction),this._subscribe(&quot;mouseup&quot;,this._handleMouseUpInteraction),this.chart.applyOptions({handleScroll:!1})}this._state=t}_onDrag(t){this._state!=l.DRAGGING&amp;&amp;this._state!=l.DRAGGINGP1||this._addDiffToPoint(this.p1,t.logical,t.price),this._state!=l.DRAGGING&amp;&amp;this._state!=l.DRAGGINGP2||this._addDiffToPoint(this.p2,t.logical,t.price),this._state!=l.DRAGGING&amp;&amp;(this._state==l.DRAGGINGP3&amp;&amp;(this._addDiffToPoint(this.p1,t.logical,0),this._addDiffToPoint(this.p2,0,t.price)),this._state==l.DRAGGINGP4&amp;&amp;(this._addDiffToPoint(this.p1,0,t.price),this._addDiffToPoint(this.p2,t.logical,0)))}_onMouseDown(){this._startDragPoint=null;const t=this._latestHoverPoint,e=this._paneViews[0]._p1,i=this._paneViews[0]._p2;if(!(e.x&amp;&amp;i.x&amp;&amp;e.y&amp;&amp;i.y))return this._moveToState(l.DRAGGING);const s=10;Math.abs(t.x-e.x)&lt;s&amp;&amp;Math.abs(t.y-e.y)&lt;s?this._moveToState(l.DRAGGINGP1):Math.abs(t.x-i.x)&lt;s&amp;&amp;Math.abs(t.y-i.y)&lt;s?this._moveToState(l.DRAGGINGP2):Math.abs(t.x-e.x)&lt;s&amp;&amp;Math.abs(t.y-i.y)&lt;s?this._moveToState(l.DRAGGINGP3):Math.abs(t.x-i.x)&lt;s&amp;&amp;Math.abs(t.y-e.y)&lt;s?this._moveToState(l.DRAGGINGP4):this._moveToState(l.DRAGGING)}_mouseIsOverDrawing(t,e=4){if(!t.point)return!1;const i=this._paneViews[0]._p1.x,s=this._paneViews[0]._p1.y,o=this._paneViews[0]._p2.x,n=this._paneViews[0]._p2.y;if(!(i&amp;&amp;o&amp;&amp;s&amp;&amp;n))return!1;const r=t.point.x,a=t.point.y,l=Math.min(i,o),h=Math.min(s,n),d=Math.abs(i-o),c=Math.abs(s-n),p=e/2;return r&gt;l-p&amp;&amp;r&lt;l+d+p&amp;&amp;a&gt;h-p&amp;&amp;a&lt;h+c+p}}class S{colorOption;static colors=[&quot;#EBB0B0&quot;,&quot;#E9CEA1&quot;,&quot;#E5DF80&quot;,&quot;#ADEB97&quot;,&quot;#A3C3EA&quot;,&quot;#D8BDED&quot;,&quot;#E15F5D&quot;,&quot;#E1B45F&quot;,&quot;#E2D947&quot;,&quot;#4BE940&quot;,&quot;#639AE1&quot;,&quot;#D7A0E8&quot;,&quot;#E42C2A&quot;,&quot;#E49D30&quot;,&quot;#E7D827&quot;,&quot;#3CFF0A&quot;,&quot;#3275E4&quot;,&quot;#B06CE3&quot;,&quot;#F3000D&quot;,&quot;#EE9A14&quot;,&quot;#F1DA13&quot;,&quot;#2DFC0F&quot;,&quot;#1562EE&quot;,&quot;#BB00EF&quot;,&quot;#B50911&quot;,&quot;#E3860E&quot;,&quot;#D2BD11&quot;,&quot;#48DE0E&quot;,&quot;#1455B4&quot;,&quot;#6E009F&quot;,&quot;#7C1713&quot;,&quot;#B76B12&quot;,&quot;#8D7A13&quot;,&quot;#479C12&quot;,&quot;#165579&quot;,&quot;#51007E&quot;];_div;saveDrawings;opacity=0;_opacitySlider;_opacityLabel;rgba;constructor(t,e){this.colorOption=e,this.saveDrawings=t,this._div=document.createElement(&quot;div&quot;),this._div.classList.add(&quot;color-picker&quot;);let i=document.createElement(&quot;div&quot;);i.style.margin=&quot;10px&quot;,i.style.display=&quot;flex&quot;,i.style.flexWrap=&quot;wrap&quot;,S.colors.forEach((t=&gt;i.appendChild(this.makeColorBox(t))));let s=document.createElement(&quot;div&quot;);s.style.backgroundColor=window.pane.borderColor,s.style.height=&quot;1px&quot;,s.style.width=&quot;130px&quot;;let o=document.createElement(&quot;div&quot;);o.style.margin=&quot;10px&quot;;let n=document.createElement(&quot;div&quot;);n.style.color=&quot;lightgray&quot;,n.style.fontSize=&quot;12px&quot;,n.innerText=&quot;Opacity&quot;,this._opacityLabel=document.createElement(&quot;div&quot;),this._opacityLabel.style.color=&quot;lightgray&quot;,this._opacityLabel.style.fontSize=&quot;12px&quot;,this._opacitySlider=document.createElement(&quot;input&quot;),this._opacitySlider.type=&quot;range&quot;,this._opacitySlider.value=(100*this.opacity).toString(),this._opacityLabel.innerText=this._opacitySlider.value+&quot;%&quot;,this._opacitySlider.oninput=()=&gt;{this._opacityLabel.innerText=this._opacitySlider.value+&quot;%&quot;,this.opacity=parseInt(this._opacitySlider.value)/100,this.updateColor()},o.appendChild(n),o.appendChild(this._opacitySlider),o.appendChild(this._opacityLabel),this._div.appendChild(i),this._div.appendChild(s),this._div.appendChild(o),window.containerDiv.appendChild(this._div)}_updateOpacitySlider(){this._opacitySlider.value=(100*this.opacity).toString(),this._opacityLabel.innerText=this._opacitySlider.value+&quot;%&quot;}makeColorBox(t){const e=document.createElement(&quot;div&quot;);e.style.width=&quot;18px&quot;,e.style.height=&quot;18px&quot;,e.style.borderRadius=&quot;3px&quot;,e.style.margin=&quot;3px&quot;,e.style.boxSizing=&quot;border-box&quot;,e.style.backgroundColor=t,e.addEventListener(&quot;mouseover&quot;,(()=&gt;e.style.border=&quot;2px solid lightgray&quot;)),e.addEventListener(&quot;mouseout&quot;,(()=&gt;e.style.border=&quot;none&quot;));const i=S.extractRGBA(t);return e.addEventListener(&quot;click&quot;,(()=&gt;{this.rgba=i,this.updateColor()})),e}static extractRGBA(t){const e=document.createElement(&quot;div&quot;);e.style.color=t,document.body.appendChild(e);const i=getComputedStyle(e).color;document.body.removeChild(e);const s=i.match(/\\d+/g)?.map(Number);if(!s)return[];let o=i.includes(&quot;rgba&quot;)?parseFloat(i.split(&quot;,&quot;)[3]):1;return[s[0],s[1],s[2],o]}updateColor(){if(!h.lastHoveredObject||!this.rgba)return;const t=`rgba(${this.rgba[0]}, ${this.rgba[1]}, ${this.rgba[2]}, ${this.opacity})`;h.lastHoveredObject.applyOptions({[this.colorOption]:t}),this.saveDrawings()}openMenu(t){h.lastHoveredObject&amp;&amp;(this.rgba=S.extractRGBA(h.lastHoveredObject._options[this.colorOption]),this.opacity=this.rgba[3],this._updateOpacitySlider(),this._div.style.top=t.top-30+&quot;px&quot;,this._div.style.left=t.right+&quot;px&quot;,this._div.style.display=&quot;flex&quot;,setTimeout((()=&gt;document.addEventListener(&quot;mousedown&quot;,(t=&gt;{this._div.contains(t.target)||this.closeMenu()}))),10))}closeMenu(){document.body.removeEventListener(&quot;click&quot;,this.closeMenu),this._div.style.display=&quot;none&quot;}}class G{static _styles=[{name:&quot;Solid&quot;,var:e.LineStyle.Solid},{name:&quot;Dotted&quot;,var:e.LineStyle.Dotted},{name:&quot;Dashed&quot;,var:e.LineStyle.Dashed},{name:&quot;Large Dashed&quot;,var:e.LineStyle.LargeDashed},{name:&quot;Sparse Dotted&quot;,var:e.LineStyle.SparseDotted}];_div;_saveDrawings;constructor(t){this._saveDrawings=t,this._div=document.createElement(&quot;div&quot;),this._div.classList.add(&quot;context-menu&quot;),G._styles.forEach((t=&gt;{this._div.appendChild(this._makeTextBox(t.name,t.var))})),window.containerDiv.appendChild(this._div)}_makeTextBox(t,e){const i=document.createElement(&quot;span&quot;);return i.classList.add(&quot;context-menu-item&quot;),i.innerText=t,i.addEventListener(&quot;click&quot;,(()=&gt;{h.lastHoveredObject?.applyOptions({lineStyle:e}),this._saveDrawings()})),i}openMenu(t){this._div.style.top=t.top-30+&quot;px&quot;,this._div.style.left=t.right+&quot;px&quot;,this._div.style.display=&quot;block&quot;,setTimeout((()=&gt;document.addEventListener(&quot;mousedown&quot;,(t=&gt;{this._div.contains(t.target)||this.closeMenu()}))),10)}closeMenu(){document.removeEventListener(&quot;click&quot;,this.closeMenu),this._div.style.display=&quot;none&quot;}}function T(t){const e=[];for(const i of t)0==e.length?e.push(i.toUpperCase()):i==i.toUpperCase()?e.push(&quot; &quot;+i):e.push(i);return e.join(&quot;&quot;)}class I{saveDrawings;drawingTool;div;hoverItem;items=[];constructor(t,e){this.saveDrawings=t,this.drawingTool=e,this._onRightClick=this._onRightClick.bind(this),this.div=document.createElement(&quot;div&quot;),this.div.classList.add(&quot;context-menu&quot;),document.body.appendChild(this.div),this.hoverItem=null,document.body.addEventListener(&quot;contextmenu&quot;,this._onRightClick)}_handleClick=t=&gt;this._onClick(t);_onClick(t){t.target&amp;&amp;(this.div.contains(t.target)||(this.div.style.display=&quot;none&quot;,document.body.removeEventListener(&quot;click&quot;,this._handleClick)))}_onRightClick(t){if(!h.hoveredObject)return;for(const t of this.items)this.div.removeChild(t);this.items=[];for(const t of Object.keys(h.hoveredObject._options)){let e;if(t.toLowerCase().includes(&quot;color&quot;))e=new S(this.saveDrawings,t);else{if(&quot;lineStyle&quot;!==t)continue;e=new G(this.saveDrawings)}let i=t=&gt;e.openMenu(t);this.menuItem(T(t),i,(()=&gt;{document.removeEventListener(&quot;click&quot;,e.closeMenu),e._div.style.display=&quot;none&quot;}))}this.separator(),this.menuItem(&quot;Delete Drawing&quot;,(()=&gt;this.drawingTool.delete(h.lastHoveredObject))),t.preventDefault(),this.div.style.left=t.clientX+&quot;px&quot;,this.div.style.top=t.clientY+&quot;px&quot;,this.div.style.display=&quot;block&quot;,document.body.addEventListener(&quot;click&quot;,this._handleClick)}menuItem(t,e,i=null){const s=document.createElement(&quot;span&quot;);s.classList.add(&quot;context-menu-item&quot;),this.div.appendChild(s);const o=document.createElement(&quot;span&quot;);if(o.innerText=t,o.style.pointerEvents=&quot;none&quot;,s.appendChild(o),i){let t=document.createElement(&quot;span&quot;);t.innerText=&quot;►&quot;,t.style.fontSize=&quot;8px&quot;,t.style.pointerEvents=&quot;none&quot;,s.appendChild(t)}if(s.addEventListener(&quot;mouseover&quot;,(()=&gt;{this.hoverItem&amp;&amp;this.hoverItem.closeAction&amp;&amp;this.hoverItem.closeAction(),this.hoverItem={elem:o,action:e,closeAction:i}})),i){let t;s.addEventListener(&quot;mouseover&quot;,(()=&gt;t=setTimeout((()=&gt;e(s.getBoundingClientRect())),100))),s.addEventListener(&quot;mouseout&quot;,(()=&gt;clearTimeout(t)))}else s.addEventListener(&quot;click&quot;,(t=&gt;{e(t),this.div.style.display=&quot;none&quot;}));this.items.push(s)}separator(){const t=document.createElement(&quot;div&quot;);t.style.width=&quot;90%&quot;,t.style.height=&quot;1px&quot;,t.style.margin=&quot;3px 0px&quot;,t.style.backgroundColor=window.pane.borderColor,this.div.appendChild(t),this.items.push(t)}}class M extends w{_type=&quot;RayLine&quot;;constructor(t,e){super({...t},e),this._point.time=t.time}updatePoints(...t){for(const e of t)e&amp;&amp;(this._point=e);this.requestUpdate()}_onDrag(t){this._addDiffToPoint(this._point,t.logical,t.price),this.requestUpdate()}_mouseIsOverDrawing(t,e=4){if(!t.point)return!1;const i=this.series.priceToCoordinate(this._point.price),s=this._point.time?this.chart.timeScale().timeToCoordinate(this._point.time):null;return!(!i||!s)&amp;&amp;(Math.abs(i-t.point.y)&lt;e&amp;&amp;t.point.x&gt;s-e)}}class N extends d{_point={x:null,y:null};constructor(t,e){super(e),this._point=t}draw(t){t.useBitmapCoordinateSpace((t=&gt;{if(null==this._point.x)return;const e=t.context,i=this._point.x*t.horizontalPixelRatio;e.lineWidth=this._options.width,e.strokeStyle=this._options.lineColor,p(e,this._options.lineStyle),e.beginPath(),e.moveTo(i,0),e.lineTo(i,t.bitmapSize.height),e.stroke()}))}}class R extends _{_source;_point={x:null,y:null};constructor(t){super(t),this._source=t}update(){const t=this._source._point,e=this._source.chart.timeScale(),i=this._source.series;this._point.x=t.time?e.timeToCoordinate(t.time):e.logicalToCoordinate(t.logical),this._point.y=i.priceToCoordinate(t.price)}renderer(){return new N(this._point,this._source._options)}}class B{_source;_x=null;constructor(t){this._source=t}update(){if(!this._source.chart||!this._source._point)return;const t=this._source._point,e=this._source.chart.timeScale();this._x=t.time?e.timeToCoordinate(t.time):e.logicalToCoordinate(t.logical)}visible(){return!!this._source._options.text}tickVisible(){return!0}coordinate(){return this._x??0}text(){return this._source._options.text||&quot;&quot;}textColor(){return&quot;white&quot;}backColor(){return this._source._options.lineColor}}class A extends h{_type=&quot;VerticalLine&quot;;_paneViews;_timeAxisViews;_point;_callbackName;_startDragPoint=null;constructor(t,e,i=null){super(e),this._point=t,this._paneViews=[new R(this)],this._callbackName=i,this._timeAxisViews=[new B(this)]}updateAllViews(){this._paneViews.forEach((t=&gt;t.update())),this._timeAxisViews.forEach((t=&gt;t.update()))}timeAxisViews(){return this._timeAxisViews}updatePoints(...t){for(const e of t)e&amp;&amp;(!e.time&amp;&amp;e.logical&amp;&amp;(e.time=this.series.dataByIndex(e.logical)?.time||null),this._point=e);this.requestUpdate()}get points(){return[this._point]}_moveToState(t){switch(t){case l.NONE:document.body.style.cursor=&quot;default&quot;,this._unsubscribe(&quot;mousedown&quot;,this._handleMouseDownInteraction);break;case l.HOVERING:document.body.style.cursor=&quot;pointer&quot;,this._unsubscribe(&quot;mouseup&quot;,this._childHandleMouseUpInteraction),this._subscribe(&quot;mousedown&quot;,this._handleMouseDownInteraction),this.chart.applyOptions({handleScroll:!0});break;case l.DRAGGING:document.body.style.cursor=&quot;grabbing&quot;,this._subscribe(&quot;mouseup&quot;,this._childHandleMouseUpInteraction),this.chart.applyOptions({handleScroll:!1})}this._state=t}_onDrag(t){this._addDiffToPoint(this._point,t.logical,0),this.requestUpdate()}_mouseIsOverDrawing(t,e=4){if(!t.point)return!1;const i=this.chart.timeScale();let s;return s=this._point.time?i.timeToCoordinate(this._point.time):i.logicalToCoordinate(this._point.logical),!!s&amp;&amp;Math.abs(s-t.point.x)&lt;e}_onMouseDown(){this._startDragPoint=null;if(this._latestHoverPoint)return this._moveToState(l.DRAGGING)}_childHandleMouseUpInteraction=()=&gt;{this._handleMouseUpInteraction(),this._callbackName&amp;&amp;window.callbackFunction(`${this._callbackName}_~_${this._point.price.toFixed(8)}`)}}class P{static TREND_SVG=&#x27;&lt;rect x=&quot;3.84&quot; y=&quot;13.67&quot; transform=&quot;matrix(0.7071 -0.7071 0.7071 0.7071 -5.9847 14.4482)&quot; width=&quot;21.21&quot; height=&quot;1.56&quot;/&gt;&lt;path d=&quot;M23,3.17L20.17,6L23,8.83L25.83,6L23,3.17z M23,7.41L21.59,6L23,4.59L24.41,6L23,7.41z&quot;/&gt;&lt;path d=&quot;M6,20.17L3.17,23L6,25.83L8.83,23L6,20.17z M6,24.41L4.59,23L6,21.59L7.41,23L6,24.41z&quot;/&gt;&#x27;;static HORZ_SVG=&#x27;&lt;rect x=&quot;4&quot; y=&quot;14&quot; width=&quot;9&quot; height=&quot;1&quot;/&gt;&lt;rect x=&quot;16&quot; y=&quot;14&quot; width=&quot;9&quot; height=&quot;1&quot;/&gt;&lt;path d=&quot;M11.67,14.5l2.83,2.83l2.83-2.83l-2.83-2.83L11.67,14.5z M15.91,14.5l-1.41,1.41l-1.41-1.41l1.41-1.41L15.91,14.5z&quot;/&gt;&#x27;;static RAY_SVG=&#x27;&lt;rect x=&quot;8&quot; y=&quot;14&quot; width=&quot;17&quot; height=&quot;1&quot;/&gt;&lt;path d=&quot;M3.67,14.5l2.83,2.83l2.83-2.83L6.5,11.67L3.67,14.5z M7.91,14.5L6.5,15.91L5.09,14.5l1.41-1.41L7.91,14.5z&quot;/&gt;&#x27;;static BOX_SVG=&#x27;&lt;rect x=&quot;8&quot; y=&quot;6&quot; width=&quot;12&quot; height=&quot;1&quot;/&gt;&lt;rect x=&quot;9&quot; y=&quot;22&quot; width=&quot;11&quot; height=&quot;1&quot;/&gt;&lt;path d=&quot;M3.67,6.5L6.5,9.33L9.33,6.5L6.5,3.67L3.67,6.5z M7.91,6.5L6.5,7.91L5.09,6.5L6.5,5.09L7.91,6.5z&quot;/&gt;&lt;path d=&quot;M19.67,6.5l2.83,2.83l2.83-2.83L22.5,3.67L19.67,6.5z M23.91,6.5L22.5,7.91L21.09,6.5l1.41-1.41L23.91,6.5z&quot;/&gt;&lt;path d=&quot;M19.67,22.5l2.83,2.83l2.83-2.83l-2.83-2.83L19.67,22.5z M23.91,22.5l-1.41,1.41l-1.41-1.41l1.41-1.41L23.91,22.5z&quot;/&gt;&lt;path d=&quot;M3.67,22.5l2.83,2.83l2.83-2.83L6.5,19.67L3.67,22.5z M7.91,22.5L6.5,23.91L5.09,22.5l1.41-1.41L7.91,22.5z&quot;/&gt;&lt;rect x=&quot;22&quot; y=&quot;9&quot; width=&quot;1&quot; height=&quot;11&quot;/&gt;&lt;rect x=&quot;6&quot; y=&quot;9&quot; width=&quot;1&quot; height=&quot;11&quot;/&gt;&#x27;;static VERT_SVG=P.RAY_SVG;div;activeIcon=null;buttons=[];_commandFunctions;_handlerID;_drawingTool;constructor(t,e,i,s){this._handlerID=t,this._commandFunctions=s,this._drawingTool=new y(e,i,(()=&gt;this.removeActiveAndSave())),this.div=this._makeToolBox(),new I(this.saveDrawings,this._drawingTool),s.push((t=&gt;{if((t.metaKey||t.ctrlKey)&amp;&amp;&quot;KeyZ&quot;===t.code){const t=this._drawingTool.drawings.pop();return t&amp;&amp;this._drawingTool.delete(t),!0}return!1}))}toJSON(){const{...t}=this;return t}_makeToolBox(){let t=document.createElement(&quot;div&quot;);t.classList.add(&quot;toolbox&quot;),this.buttons.push(this._makeToolBoxElement(C,&quot;KeyT&quot;,P.TREND_SVG)),this.buttons.push(this._makeToolBoxElement(w,&quot;KeyH&quot;,P.HORZ_SVG)),this.buttons.push(this._makeToolBoxElement(M,&quot;KeyR&quot;,P.RAY_SVG)),this.buttons.push(this._makeToolBoxElement(L,&quot;KeyB&quot;,P.BOX_SVG)),this.buttons.push(this._makeToolBoxElement(A,&quot;KeyV&quot;,P.VERT_SVG,!0));for(const e of this.buttons)t.appendChild(e);return t}_makeToolBoxElement(t,e,i,s=!1){const o=document.createElement(&quot;div&quot;);o.classList.add(&quot;toolbox-button&quot;);const n=document.createElementNS(&quot;http://www.w3.org/2000/svg&quot;,&quot;svg&quot;);n.setAttribute(&quot;width&quot;,&quot;29&quot;),n.setAttribute(&quot;height&quot;,&quot;29&quot;);const r=document.createElementNS(&quot;http://www.w3.org/2000/svg&quot;,&quot;g&quot;);r.innerHTML=i,r.setAttribute(&quot;fill&quot;,window.pane.color),n.appendChild(r),o.appendChild(n);const a={div:o,group:r,type:t};return o.addEventListener(&quot;click&quot;,(()=&gt;this._onIconClick(a))),this._commandFunctions.push((t=&gt;this._handlerID===window.handlerInFocus&amp;&amp;(!(!t.altKey||t.code!==e)&amp;&amp;(t.preventDefault(),this._onIconClick(a),!0)))),1==s&amp;&amp;(n.style.transform=&quot;rotate(90deg)&quot;,n.style.transformBox=&quot;fill-box&quot;,n.style.transformOrigin=&quot;center&quot;),o}_onIconClick(t){this.activeIcon&amp;&amp;(this.activeIcon.div.classList.remove(&quot;active-toolbox-button&quot;),window.setCursor(&quot;crosshair&quot;),this._drawingTool?.stopDrawing(),this.activeIcon===t)?this.activeIcon=null:(this.activeIcon=t,this.activeIcon.div.classList.add(&quot;active-toolbox-button&quot;),window.setCursor(&quot;crosshair&quot;),this._drawingTool?.beginDrawing(this.activeIcon.type))}removeActiveAndSave=()=&gt;{window.setCursor(&quot;default&quot;),this.activeIcon&amp;&amp;this.activeIcon.div.classList.remove(&quot;active-toolbox-button&quot;),this.activeIcon=null,this.saveDrawings()};addNewDrawing(t){this._drawingTool.addNewDrawing(t)}clearDrawings(){this._drawingTool.clearDrawings()}saveDrawings=()=&gt;{const t=[];for(const e of this._drawingTool.drawings)t.push({type:e._type,points:e.points,options:e._options});const e=JSON.stringify(t);window.callbackFunction(`save_drawings${this._handlerID}_~_${e}`)};loadDrawings(t){t.forEach((t=&gt;{switch(t.type){case&quot;Box&quot;:this._drawingTool.addNewDrawing(new L(t.points[0],t.points[1],t.options));break;case&quot;TrendLine&quot;:this._drawingTool.addNewDrawing(new C(t.points[0],t.points[1],t.options));break;case&quot;HorizontalLine&quot;:this._drawingTool.addNewDrawing(new w(t.points[0],t.options));break;case&quot;RayLine&quot;:this._drawingTool.addNewDrawing(new M(t.points[0],t.options));break;case&quot;VerticalLine&quot;:this._drawingTool.addNewDrawing(new A(t.points[0],t.options))}}))}}class O{makeButton;callbackName;div;isOpen=!1;widget;constructor(t,e,i,s,o,n){this.makeButton=t,this.callbackName=e,this.div=document.createElement(&quot;div&quot;),this.div.classList.add(&quot;topbar-menu&quot;),this.widget=this.makeButton(s+&quot; ↓&quot;,null,o,!0,n),this.updateMenuItems(i),this.widget.elem.addEventListener(&quot;click&quot;,(()=&gt;{if(this.isOpen=!this.isOpen,!this.isOpen)return void(this.div.style.display=&quot;none&quot;);let t=this.widget.elem.getBoundingClientRect();this.div.style.display=&quot;flex&quot;,this.div.style.flexDirection=&quot;column&quot;;let e=t.x+t.width/2;this.div.style.left=e-this.div.clientWidth/2+&quot;px&quot;,this.div.style.top=t.y+t.height+&quot;px&quot;})),document.body.appendChild(this.div)}updateMenuItems(t){this.div.innerHTML=&quot;&quot;,t.forEach((t=&gt;{let e=this.makeButton(t,null,!1,!1);e.elem.addEventListener(&quot;click&quot;,(()=&gt;{this.widget.elem.innerText=e.elem.innerText+&quot; ↓&quot;,window.callbackFunction(`${this.callbackName}_~_${e.elem.innerText}`),this.div.style.display=&quot;none&quot;,this.isOpen=!1})),e.elem.style.margin=&quot;4px 4px&quot;,e.elem.style.padding=&quot;2px 2px&quot;,this.div.appendChild(e.elem)})),this.widget.elem.innerText=t[0]+&quot; ↓&quot;}}class V{_handler;_div;left;right;constructor(t){this._handler=t,this._div=document.createElement(&quot;div&quot;),this._div.classList.add(&quot;topbar&quot;);const e=t=&gt;{const e=document.createElement(&quot;div&quot;);return e.classList.add(&quot;topbar-container&quot;),e.style.justifyContent=t,this._div.appendChild(e),e};this.left=e(&quot;flex-start&quot;),this.right=e(&quot;flex-end&quot;)}makeSwitcher(t,e,i,s=&quot;left&quot;){const o=document.createElement(&quot;div&quot;);let n;o.style.margin=&quot;4px 12px&quot;;const r={elem:o,callbackName:i,intervalElements:t.map((t=&gt;{const i=document.createElement(&quot;button&quot;);i.classList.add(&quot;topbar-button&quot;),i.classList.add(&quot;switcher-button&quot;),i.style.margin=&quot;0px 2px&quot;,i.innerText=t,t==e&amp;&amp;(n=i,i.classList.add(&quot;active-switcher-button&quot;));const s=V.getClientWidth(i);return i.style.minWidth=s+1+&quot;px&quot;,i.addEventListener(&quot;click&quot;,(()=&gt;r.onItemClicked(i))),o.appendChild(i),i})),onItemClicked:t=&gt;{t!=n&amp;&amp;(n.classList.remove(&quot;active-switcher-button&quot;),t.classList.add(&quot;active-switcher-button&quot;),n=t,window.callbackFunction(`${r.callbackName}_~_${t.innerText}`))}};return this.appendWidget(o,s,!0),r}makeTextBoxWidget(t,e=&quot;left&quot;,i=null){if(i){const s=document.createElement(&quot;input&quot;);return s.classList.add(&quot;topbar-textbox-input&quot;),s.value=t,s.style.width=`${s.value.length+2}ch`,s.addEventListener(&quot;focus&quot;,(()=&gt;{window.textBoxFocused=!0})),s.addEventListener(&quot;input&quot;,(t=&gt;{t.preventDefault(),s.style.width=`${s.value.length+2}ch`})),s.addEventListener(&quot;keydown&quot;,(t=&gt;{&quot;Enter&quot;==t.key&amp;&amp;(t.preventDefault(),s.blur())})),s.addEventListener(&quot;blur&quot;,(()=&gt;{window.callbackFunction(`${i}_~_${s.value}`),window.textBoxFocused=!1})),this.appendWidget(s,e,!0),s}{const i=document.createElement(&quot;div&quot;);return i.classList.add(&quot;topbar-textbox&quot;),i.innerText=t,this.appendWidget(i,e,!0),i}}makeMenu(t,e,i,s,o){return new O(this.makeButton.bind(this),s,t,e,i,o)}makeButton(t,e,i,s=!0,o=&quot;left&quot;,n=!1){let r=document.createElement(&quot;button&quot;);r.classList.add(&quot;topbar-button&quot;),r.innerText=t,document.body.appendChild(r),r.style.minWidth=r.clientWidth+1+&quot;px&quot;,document.body.removeChild(r);let a={elem:r,callbackName:e};if(e){let t;if(n){let e=!1;t=()=&gt;{e=!e,window.callbackFunction(`${a.callbackName}_~_${e}`),r.style.backgroundColor=e?&quot;var(--active-bg-color)&quot;:&quot;&quot;,r.style.color=e?&quot;var(--active-color)&quot;:&quot;&quot;}}else t=()=&gt;window.callbackFunction(`${a.callbackName}_~_${r.innerText}`);r.addEventListener(&quot;click&quot;,t)}return s&amp;&amp;this.appendWidget(r,o,i),a}makeSeparator(t=&quot;left&quot;){const e=document.createElement(&quot;div&quot;);e.classList.add(&quot;topbar-seperator&quot;);(&quot;left&quot;==t?this.left:this.right).appendChild(e)}appendWidget(t,e,i){const s=&quot;left&quot;==e?this.left:this.right;i?(&quot;left&quot;==e&amp;&amp;s.appendChild(t),this.makeSeparator(e),&quot;right&quot;==e&amp;&amp;s.appendChild(t)):s.appendChild(t),this._handler.reSize()}static getClientWidth(t){document.body.appendChild(t);const e=t.clientWidth;return document.body.removeChild(t),e}}s();return t.Box=L,t.Handler=class{id;commandFunctions=[];wrapper;div;chart;scale;precision=2;series;volumeSeries;legend;_topBar;toolBox;spinner;_seriesList=[];constructor(t,e,i,s,n,r=!1){this.reSize=this.reSize.bind(this),this.id=t,this.scale={width:e,height:i},this.wrapper=document.createElement(&quot;div&quot;),this.wrapper.classList.add(&quot;handler&quot;),this.wrapper.style.float=s,this.div=document.createElement(&quot;div&quot;),this.div.style.position=&quot;relative&quot;,this.wrapper.appendChild(this.div),window.containerDiv.append(this.wrapper),this.chart=this._createChart(r),this.series=this.createCandlestickSeries(),this.volumeSeries=this.createVolumeSeries(),this.legend=new o(this),document.addEventListener(&quot;keydown&quot;,(t=&gt;{for(let e=0;e&lt;this.commandFunctions.length&amp;&amp;!this.commandFunctions[e](t);e++);})),window.handlerInFocus=this.id,this.wrapper.addEventListener(&quot;mouseover&quot;,(()=&gt;window.handlerInFocus=this.id)),this.reSize(),n&amp;&amp;window.addEventListener(&quot;resize&quot;,(()=&gt;this.reSize()))}reSize(){let t=0!==this.scale.height&amp;&amp;this._topBar?._div.offsetHeight||0;this.chart.resize(window.innerWidth*this.scale.width,window.innerHeight*this.scale.height-t),this.wrapper.style.width=100*this.scale.width+&quot;%&quot;,this.wrapper.style.height=100*this.scale.height+&quot;%&quot;,0===this.scale.height||0===this.scale.width?this.toolBox&amp;&amp;(this.toolBox.div.style.display=&quot;none&quot;):this.toolBox&amp;&amp;(this.toolBox.div.style.display=&quot;flex&quot;)}_createChart(t=!1){return e.createChart(this.div,{width:window.innerWidth*this.scale.width,height:window.innerHeight*this.scale.height,layout:{textColor:window.pane.color,background:{color:&quot;#000000&quot;,type:e.ColorType.Solid},fontSize:12},rightPriceScale:{scaleMargins:{top:.3,bottom:.25}},leftPriceScale:{visible:t,scaleMargins:{top:.3,bottom:.25}},timeScale:{timeVisible:!0,secondsVisible:!0,minBarSpacing:.005},crosshair:{mode:e.CrosshairMode.Normal,vertLine:{labelBackgroundColor:&quot;rgb(46, 46, 46)&quot;},horzLine:{labelBackgroundColor:&quot;rgb(55, 55, 55)&quot;}},grid:{vertLines:{color:&quot;rgba(29, 30, 38, 5)&quot;},horzLines:{color:&quot;rgba(29, 30, 58, 5)&quot;}},handleScroll:{vertTouchDrag:!0}})}createCandlestickSeries(){const t=&quot;rgba(39, 157, 130, 100)&quot;,e=&quot;rgba(200, 97, 100, 100)&quot;,i=this.chart.addCandlestickSeries({upColor:t,borderUpColor:t,wickUpColor:t,downColor:e,borderDownColor:e,wickDownColor:e});return i.priceScale().applyOptions({scaleMargins:{top:.2,bottom:.2}}),i}createVolumeSeries(){const t=this.chart.addHistogramSeries({color:&quot;#26a69a&quot;,priceFormat:{type:&quot;volume&quot;},priceScaleId:&quot;volume_scale&quot;});return t.priceScale().applyOptions({scaleMargins:{top:.8,bottom:0}}),t}createLineSeries(t,e){const i=this.chart.addLineSeries({...e});return this._seriesList.push(i),this.legend.makeSeriesRow(t,i),{name:t,series:i}}createHistogramSeries(t,e){const i=this.chart.addHistogramSeries({...e});return this._seriesList.push(i),this.legend.makeSeriesRow(t,i),{name:t,series:i}}createToolBox(){this.toolBox=new P(this.id,this.chart,this.series,this.commandFunctions),this.div.appendChild(this.toolBox.div)}createTopBar(){return this._topBar=new V(this),this.wrapper.prepend(this._topBar._div),this._topBar}toJSON(){const{chart:t,...e}=this;return e}static syncCharts(t,e,i=!1){function 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\n",
       "\n",
       "            window.afiiimeb = window.hveuekqz.createLineSeries(\n",
       "                &quot;Motif 1&quot;,\n",
       "                {\n",
       "                    color: &#x27;rgba(143, 138, 176, 0.5)&#x27;,\n",
       "                    lineStyle: 0,\n",
       "                    lineWidth: 2,\n",
       "                    lastValueVisible: false,\n",
       "                    priceScaleId: &#x27;right&#x27;,\n",
       "                    priceLineVisible: false,\n",
       "                    crosshairMarkerVisible: true,\n",
       "                    \n",
       "                }\n",
       "            )\n",
       "        null\n",
       "window.afiiimeb.series.setData([{&quot;value&quot;:33.59563129178537,&quot;time&quot;:1707753900.0},{&quot;value&quot;:33.5963762252718,&quot;time&quot;:1707753960.0},{&quot;value&quot;:33.60500536006217,&quot;time&quot;:1707754020.0},{&quot;value&quot;:33.63225590685634,&quot;time&quot;:1707754080.0},{&quot;value&quot;:33.625616187476844,&quot;time&quot;:1707754140.0},{&quot;value&quot;:33.601839255296895,&quot;time&quot;:1707754200.0},{&quot;value&quot;:33.5918816875919,&quot;time&quot;:1707754260.0},{&quot;value&quot;:33.59328726565454,&quot;time&quot;:1707754320.0},{&quot;value&quot;:33.59500708777501,&quot;time&quot;:1707754380.0},{&quot;value&quot;:33.581123191619874,&quot;time&quot;:1707754440.0},{&quot;value&quot;:33.580820476474614,&quot;time&quot;:1707754500.0},{&quot;value&quot;:33.5949077618099,&quot;time&quot;:1707754560.0},{&quot;value&quot;:33.625859939637614,&quot;time&quot;:1707754620.0},{&quot;value&quot;:33.64138125144777,&quot;time&quot;:1707754680.0},{&quot;value&quot;:33.61047885977957,&quot;time&quot;:1707754740.0},{&quot;value&quot;:33.61125447143548,&quot;time&quot;:1707754800.0},{&quot;value&quot;:33.61883460153084,&quot;time&quot;:1707754860.0},{&quot;value&quot;:33.62625129449114,&quot;time&quot;:1707754920.0},{&quot;value&quot;:33.65386323798461,&quot;time&quot;:1707754980.0},{&quot;value&quot;:33.66670194036751,&quot;time&quot;:1707755040.0}]); \n",
       "\n",
       "            window.tvhytpap = window.hveuekqz.createLineSeries(\n",
       "                &quot;Motif 2&quot;,\n",
       "                {\n",
       "                    color: &#x27;rgba(226, 74, 238, 0.5)&#x27;,\n",
       "                    lineStyle: 0,\n",
       "                    lineWidth: 2,\n",
       "                    lastValueVisible: false,\n",
       "                    priceScaleId: &#x27;right&#x27;,\n",
       "                    priceLineVisible: false,\n",
       "                    crosshairMarkerVisible: true,\n",
       "                    \n",
       "                }\n",
       "            )\n",
       "        null\n",
       "window.tvhytpap.series.setData([{&quot;value&quot;:33.702356674126236,&quot;time&quot;:1707755820.0},{&quot;value&quot;:33.702191935058075,&quot;time&quot;:1707755880.0},{&quot;value&quot;:33.697067509712205,&quot;time&quot;:1707755940.0},{&quot;value&quot;:33.69920536695368,&quot;time&quot;:1707756000.0},{&quot;value&quot;:33.7069757533405,&quot;time&quot;:1707756060.0},{&quot;value&quot;:33.71143365580341,&quot;time&quot;:1707756120.0},{&quot;value&quot;:33.70472906705016,&quot;time&quot;:1707756180.0},{&quot;value&quot;:33.70681880496534,&quot;time&quot;:1707756240.0},{&quot;value&quot;:33.69980324982153,&quot;time&quot;:1707756300.0},{&quot;value&quot;:33.69284417156035,&quot;time&quot;:1707756360.0},{&quot;value&quot;:33.69026104746318,&quot;time&quot;:1707756420.0},{&quot;value&quot;:33.70178192977969,&quot;time&quot;:1707756480.0},{&quot;value&quot;:33.708112891181855,&quot;time&quot;:1707756540.0},{&quot;value&quot;:33.71817857619599,&quot;time&quot;:1707756600.0},{&quot;value&quot;:33.70956457115733,&quot;time&quot;:1707756660.0},{&quot;value&quot;:33.70788251906922,&quot;time&quot;:1707756720.0},{&quot;value&quot;:33.71943094847674,&quot;time&quot;:1707756780.0},{&quot;value&quot;:33.71861117754888,&quot;time&quot;:1707756840.0},{&quot;value&quot;:33.73701717063229,&quot;time&quot;:1707756900.0},{&quot;value&quot;:33.74077013104464,&quot;time&quot;:1707756960.0}]); \n",
       "\n",
       "            window.fkzdndnc = window.hveuekqz.createLineSeries(\n",
       "                &quot;Motif 3&quot;,\n",
       "                {\n",
       "                    color: &#x27;rgba(208, 106, 166, 0.5)&#x27;,\n",
       "                    lineStyle: 0,\n",
       "                    lineWidth: 2,\n",
       "                    lastValueVisible: false,\n",
       "                    priceScaleId: &#x27;right&#x27;,\n",
       "                    priceLineVisible: false,\n",
       "                    crosshairMarkerVisible: true,\n",
       "                    \n",
       "                }\n",
       "            )\n",
       "        null\n",
       "window.fkzdndnc.series.setData([{&quot;value&quot;:32.61562188168211,&quot;time&quot;:1707856920.0},{&quot;value&quot;:32.62629619855483,&quot;time&quot;:1707856980.0},{&quot;value&quot;:32.634422333604725,&quot;time&quot;:1707857040.0},{&quot;value&quot;:32.63582128845768,&quot;time&quot;:1707857100.0},{&quot;value&quot;:32.633479436170916,&quot;time&quot;:1707857160.0},{&quot;value&quot;:32.63074622799782,&quot;time&quot;:1707857220.0},{&quot;value&quot;:32.650042660066724,&quot;time&quot;:1707857280.0},{&quot;value&quot;:32.64906742396567,&quot;time&quot;:1707857340.0},{&quot;value&quot;:32.65366485541837,&quot;time&quot;:1707857400.0},{&quot;value&quot;:32.616943768447946,&quot;time&quot;:1707857460.0},{&quot;value&quot;:32.62984195860411,&quot;time&quot;:1707857520.0},{&quot;value&quot;:32.66422785702531,&quot;time&quot;:1707857580.0},{&quot;value&quot;:32.668271586790375,&quot;time&quot;:1707857640.0},{&quot;value&quot;:32.705608158334286,&quot;time&quot;:1707857700.0},{&quot;value&quot;:32.72634385164201,&quot;time&quot;:1707857760.0},{&quot;value&quot;:32.72728251621019,&quot;time&quot;:1707857820.0},{&quot;value&quot;:32.7292185344072,&quot;time&quot;:1707857880.0},{&quot;value&quot;:32.737291234881816,&quot;time&quot;:1707857940.0},{&quot;value&quot;:33.03360607721062,&quot;time&quot;:1707921000.0},{&quot;value&quot;:33.026050770325305,&quot;time&quot;:1707921060.0}]); \n",
       "\n",
       "            window.zegntkpb = window.hveuekqz.createLineSeries(\n",
       "                &quot;Motif 4&quot;,\n",
       "                {\n",
       "                    color: &#x27;rgba(120, 145, 186, 0.5)&#x27;,\n",
       "                    lineStyle: 0,\n",
       "                    lineWidth: 2,\n",
       "                    lastValueVisible: false,\n",
       "                    priceScaleId: &#x27;right&#x27;,\n",
       "                    priceLineVisible: false,\n",
       "                    crosshairMarkerVisible: true,\n",
       "                    \n",
       "                }\n",
       "            )\n",
       "        null\n",
       "window.zegntkpb.series.setData([{&quot;value&quot;:33.03963060603361,&quot;time&quot;:1707943320.0},{&quot;value&quot;:33.05561830762219,&quot;time&quot;:1707943380.0},{&quot;value&quot;:33.04759015681358,&quot;time&quot;:1707943440.0},{&quot;value&quot;:33.04615032701441,&quot;time&quot;:1707943500.0},{&quot;value&quot;:33.039548205516255,&quot;time&quot;:1707943560.0},{&quot;value&quot;:33.036565299059426,&quot;time&quot;:1707943620.0},{&quot;value&quot;:33.03788897664447,&quot;time&quot;:1707943680.0},{&quot;value&quot;:33.020034836845575,&quot;time&quot;:1707943740.0},{&quot;value&quot;:33.03119713873902,&quot;time&quot;:1707943800.0},{&quot;value&quot;:33.02902127853361,&quot;time&quot;:1707943860.0},{&quot;value&quot;:33.02994455800821,&quot;time&quot;:1707943920.0},{&quot;value&quot;:33.03812303489491,&quot;time&quot;:1707943980.0},{&quot;value&quot;:33.04912006384345,&quot;time&quot;:1707944040.0},{&quot;value&quot;:33.0630965721695,&quot;time&quot;:1707944100.0},{&quot;value&quot;:33.08102517819599,&quot;time&quot;:1707944160.0},{&quot;value&quot;:33.080961331322705,&quot;time&quot;:1707944220.0},{&quot;value&quot;:33.09214618333788,&quot;time&quot;:1707944280.0},{&quot;value&quot;:33.12442786471141,&quot;time&quot;:1707944340.0},{&quot;value&quot;:33.34489578969512,&quot;time&quot;:1708007400.0},{&quot;value&quot;:33.49416240568406,&quot;time&quot;:1708007460.0}]); \n",
       "\n",
       "        window.hveuekqz.legend.div.style.display = &#x27;flex&#x27;\n",
       "        window.hveuekqz.legend.ohlcEnabled = true\n",
       "        window.hveuekqz.legend.percentEnabled = true\n",
       "        window.hveuekqz.legend.linesEnabled = true\n",
       "        window.hveuekqz.legend.colorBasedOnCandle = false\n",
       "        window.hveuekqz.legend.div.style.color = &#x27;rgb(191, 195, 203)&#x27;\n",
       "        window.hveuekqz.legend.color = &#x27;rgb(191, 195, 203)&#x27;\n",
       "        window.hveuekqz.legend.div.style.fontSize = &#x27;11px&#x27;\n",
       "        window.hveuekqz.legend.div.style.fontFamily = &#x27;Monaco&#x27;\n",
       "        window.hveuekqz.legend.text.innerText = &#x27;&#x27;\n",
       "        \n",
       "window.hveuekqz.chart.timeScale().fitContent()\n",
       "window.dbrtbena = window.hveuekqz.createTopBar()\n",
       "window.xwbxqlgq = window.dbrtbena.makeTextBoxWidget(&quot;&quot;, &quot;left&quot;, )\n",
       "\n",
       "        window.hveuekqz.legend.div.style.display = &#x27;flex&#x27;\n",
       "        window.hveuekqz.legend.ohlcEnabled = true\n",
       "        window.hveuekqz.legend.percentEnabled = true\n",
       "        window.hveuekqz.legend.linesEnabled = true\n",
       "        window.hveuekqz.legend.colorBasedOnCandle = false\n",
       "        window.hveuekqz.legend.div.style.color = &#x27;rgb(191, 195, 203)&#x27;\n",
       "        window.hveuekqz.legend.color = &#x27;rgb(191, 195, 203)&#x27;\n",
       "        window.hveuekqz.legend.div.style.fontSize = &#x27;11px&#x27;\n",
       "        window.hveuekqz.legend.div.style.fontFamily = &#x27;Monaco&#x27;\n",
       "        window.hveuekqz.legend.text.innerText = &#x27;&#x27;\n",
       "        \n",
       "window.hveuekqz.chart.timeScale().fitContent()&lt;/script&gt;&lt;/body&gt;&lt;/html&gt;\"></iframe>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Charting with lightweight-chart for better interactivity\n",
    "\n",
    "#!pip install git+https://github.com/drew2323/lightweight-charts-python.git\n",
    "from lightweight_charts import JupyterChart, chart, Panel\n",
    "\n",
    "motifs = []\n",
    "for i in range(unanchored_chain.shape[0]):\n",
    "    new_df = timeseries_sr_trending.iloc[unanchored_chain[i]:unanchored_chain[i]+m]\n",
    "    motifs.append((new_df.to_frame(name=f\"Motif {i+1}\"), f\"Motif {i+1}\"))\n",
    "\n",
    "pane1 = Panel(\n",
    "    right = [(timeseries_sr_trending.to_frame(name=\"Time series main\"),\"Time series main\")]+motifs\n",
    ")\n",
    "\n",
    "ch = chart([pane1], sync=False, size=\"s\", session=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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AFBQUYPTo0fj666/h5+dXYRk3b95ERkYGevXqpdrm7u6Ojh07IikpCQCQlJQEDw8PtWXQe/XqBbFYjOTk5KpWn4iIDERbS03pVoHK9qvR1lKjbPU3dktNeWxtbdGlSxcsWrQIqampuHfvHlavXo2AgAB8/vnnePHFF+Hn54exY8diy5YtePTokdnqWlZ5LTVKzZo1U913dHRU+/+vU6cO7ty5AwBo3bo1gH/64ii/g/XtDG5MeoeaCxcuwMXFBRKJBFOnTkVcXBxatmwJ4OkQvE6dOiE8PLxSZWVkZAB4el2zNF9fX9W+jIwM+Pj4qO23tbWFl5eX6hhtZDIZcnJy1G5ERGR42kLN9u3bVffT0tIqtRjlkSNHAEBjoj3AvKGmrHr16mHChAnYtm0bHj58iMTERERGRuLcuXMYPXo0fHx80KlTJ9WlLHP2xSkdakoPsx8wYIDqfumOvg4ODmoj2ZydnTFkyBAAutf5GjhwoMZrmYveoSYwMBBnz55FcnIypk2bhnHjxuHSpUvYsWMHDh48iKVLlxqhmvqLjo6Gu7u76la/fn1zV4mIqFbS1gF1165dao+feeaZcsvYsGEDRowYAUD9S1b5RWlJoaY0Ozs7dOvWDdHR0Th37hzu3LmDb7/9Fv7+/vjss8/QoUMH1KtXD+PHj8fWrVvx+PFjk9avdBApKipCSkoKfvvtN+zcuVO13cXFRXXf1tYWYrFY9TxlP1fgn9FQLVq0AACN93TYsGHGOQk96D1Pjb29PZo2bQoACA4OxunTp7Fs2TI4Ojrif//7Hzw8PNSOHzJkCLp27YrDhw9rlKW8RHX//n34+/urtt+/f1+1poSfn5/G5EglJSXIysoq9xJXVFQU5syZo3qck5PDYENEZARlWyL0nVPGzs5O7TmlQ42ypab0JRFLFhAQgIkTJ2LixIkoKirCiRMnVPPibNiwAWKxGCEhIap5cdq2bVvpgTVVIZRaS6ugoEDrqLTRo0fjq6++UvtOtbW1RXFxMZydnTFx4kSEh4errpq0bdsWly9fVvtez8vLs4hRUNWep0ahUEAmk2HevHk4f/48zp49q7oBT3tJr1u3TutzGzduDD8/Pxw4cEC1LScnB8nJyap+OiEhIcjOzlatAQI87bGtUCjQsWNHnfWSSCSqoefKGxERGV5kZKTaY12rNZf+gi2tbAgqHWqUYaamhJrS7O3t0b17d3z66ae4cOECbt++jW+++Qbe3t6IiYlB+/bt1S5lZWdnG7wOpQOnrlFovr6+uHfvntr3rPL/29nZGSKRSK0byNdff43vvvtO1cChPE7X6t0mpU8P5Hnz5gmJiYnCzZs3hfPnzwvz5s0TRCKRsHfvXq3HQ8vop8DAQLWe7TExMYKHh4fw22+/CefPnxfCw8OFxo0bC0+ePFEd06dPH6Fdu3ZCcnKycOzYMaFZs2bCqFGj9Kk6Rz8RERkQSo1+KvtVkp2drbEfgFBYWFipsm7cuKHat2rVKsHGxsao52IOMplMOHjwoPDvf/9baNWqlQBAsLGxEbp27SosWrRISE1NFRQKRbVfZ8mSJar/182bN2t9X0pKSjSep9y3fPnyatehuow2+ikzMxNjx45FYGAgevbsidOnTyMhIQGhoaGVLuPq1auQSqWqx++88w7eeustTJ48GS+88ALy8vKwZ88etY5imzZtQvPmzdGzZ0/069cPXbp0wXfffadP1YmIyER0tdRUdtLU0i01U6dOrfISCZbM3t4ePXr0wOLFi/Hnn3/i77//xtdffw0vLy988sknaNeuHQICAhAZGYmff/5Z7XtTH5VpqSmvg69yjpqaQq+2ojVr1uhVuKClqbHsNpFIhIULF2LhwoU6y/Hy8sLmzZv1em0iIjIPXaN9CgoKNKbeb9WqlcZxZY+xBg0aNMCUKVMwZcoUyGQyHDt2TLXS+Nq1a2Fra4tOnTqpVhpv3bp1pfrilH4vqjITf9nJdS0d136yQGlpaejYsaNRrq8SEVWX8o9TXX0VdbXUaNt+6dIltccFBQU1sv+MIUkkEvTs2ROff/45Ll26hJs3b2L58uVwd3fHwoUL0aZNG9SvXx+TJk3CL7/8Uu6UJaWHcVdlFuQ2bdpU6RzMhaHGAv3www84deqUzimsiYjMSfnX/9tvv63aVnrNPl0tNdoWUCwtKSnJohZHtBSNGjXCtGnTsGPHDjx69Ah79+7F8OHDcfToUQwZMgR16tRRu5RV+orIjh07VPc/+eSTSr+mcrTwW2+9ZbgTMQGGGgtUUFAAwLKWcyciUlK2uJSeO0a5Knfp/WXFxMSUWy5/51XMwcEBoaGh+OKLL3DlyhXcuHEDy5Ytg7OzMz788EO0bt0aDRs2xOTJk/HHH3/g9OnTVXodZTCqae8JQ40FUl52Kt1ZmojIUihDS+l5Sd577z3V7y5dLTXr169Xe1y2A3BN+wK1BI0bN8abb76JnTt3IisrC3v27MFrr72GuLg4zJ49u8Ln79mzR+t25WUriximrQeGGgt06tQpALp/MRARmZO2UAP88ztLV0sNAOzevVt1/969e2r7GGqqx8HBAb1798bSpUvRvXt3jYlrtdHVf2nJkiWqmYNrEoYaC1NQUICTJ08CKP8XAxGRuegKNUql/yArO2r2/fffV90vLCxU28dQYzgikUjtfdC1zISuUDNmzBiNTtw1AUONhXny5InqPltqiMgSKUONs7Oz1u2l/yAbP3682rDt0pfVy3YcZqgxnLKhpqioSOtxta1jNkONhSn9lwtbaojIEil/N5X9Qty4caPafuDp2k1//vmn6vG1a9dU98t+0Vr7UG5DEolEasO5dXF1dTVBbUyHocbClG6pYaghIkuk7OBbdibaf//73wC0tzKHhYUBADp06KDapmypUe4z5sKO1kYkEmltnbl+/brGcbUJQ42F4eUnIrJ0yj+4dI2MUe4vvQiicqK+PXv2QCQSYdOmTarfd19//XWVlwEg7XSFmmeffVbjuNqEocbCsKWGiCyd8neTjY0N9u3bp7Ff+QfZrl27VNvKrhE4ZswY1TZfX1+dsxNT1YhEIq2THZYNMQw1ZFTKifcAttQQkWUqHWqUM89q2y8W//MVM2nSJK1lOTg41Lp+HZZAV0uNtuNqE4YaC9OjRw/VfbbUEJElKh1qtF2CUv5BVrrPjUgk0tqqw0BjHOWFmuPHjyM4OFh1XG3CUGPBGGqIyBKVF2q++uor1Vw0pVtqACAgIECjrAcPHhipltatvLDSqVMnPPPMMxUeVxMx1FgYkUiEdu3aAeDlJyKyTOWFmrfeegsJCQkANIds65oAjgyv9DB6ABg2bJjaY+XaTgw1ZFQNGjRQDW9kSw0RWaLSoabssO7S7t69q/aYocZ0UlNT1R5v2rQJWVlZGscx1JBR5efnq64xs6WGiCxR6XlqylvwsG7dumqPtYUa5R9xZDxr166FnZ0dPD09VdvYUkNGJ5PJ8PDhQ7i4uABgSw0RWaaKOgorvfDCC2qPS4ea7t27AwAmTJhg+AqSmiFDhmhsY6ghoxs8eDCAp+upiMVihhoiskilJ98rL9SU3Vd6AUxlwNG1KCYZjrblJxhqyOji4+MBPF3UTSwW8/ITEVmkyrbUlB39VLqlRnm/tn2pWiKGGjKra9euwcbGhi01RGSRKhtqyirdqVgZapRfrmQ85XXmZqghowsICICNjQ1baojIIlU11JTGUGMadnZ2WoMLW2rIZCZMmMA+NURksUqHmqpiqDGuOXPmANC96ChDDZmMWCxmSw0RWazSQ7qrqlevXgCA1q1bG6ROpE45nL5sv6ayaluoqVq7IRlc2YmS2FJDRJaqbEvN+fPnYWtri2vXruHSpUv473//W2EZISEhbKUxImWY0RU82VJDRpWYmKj2WCwWY8WKFSgsLDRTjYiItCsbalq3bo0WLVogPDwcUVFRlSqjqn1xqHKUYYWhhszC29tb7fGjR49w9+5dLF682Ew1IiLSrqI+NYIgVNgKU51LV1QxZUuNtV1+YqixEE5OTlq3P3r0yMQ1ISIqX+nJ96rK19fXUNUhLdhSQ2al6zLTsmXLTFwTIqLyGXL0ExkHW2rIrPLy8sxdBSKiSjFEqCHjYkdhMpu9e/di8uTJAIC///5bYz9HCBCRJWGosXy8/ERm07t3b9X9Bg0aaOw/ePCgKatDRFSu6sxT4+rqaujqkBa8/EQWa/369eauAhGRyrVr1wBULdRcu3ZNa4s0GRYvP5HF+vHHH7F161ZzV4OICAAQExMDoGpfiH5+flpbpMmwePmJzELZjFuRkSNHGrkmRERUW/DyUyWsWrUKQUFBcHNzg5ubG0JCQhAfH6/aP2XKFDRp0gSOjo7w9vZGeHg4rly5Um6ZIpFI6630pHONGjXS2K/8S6Gmu3HjhrmrQEREtQxbaiohICAAMTExSElJwZkzZ/DKK68gPDwcFy9eBAAEBwdj3bp1uHz5MhISEiAIAsLCwspdwyg9PV3ttnbtWohEIgwZMkTtuIULF6od99Zbb1XhdC3PpUuXzF0FIiKqZSrqU6NU20KNXtNBDhgwQO3xJ598glWrVuHkyZNo1aqValgy8LR15eOPP0abNm1w69YtNGnSRGuZfn5+ao9/++039OjRA88++6zadldXV41ja6Ls7GwUFhaqzmXw4MFmrhEREdU2ylCja1Z6ttSUIZfLERsbi/z8fISEhGjsz8/Px7p169C4cWPUr1+/UmXev38fu3btQmRkpMa+mJgY1KlTB+3atcPixYsr7Isik8mQk5OjdjOrk6uAH4fi98mNsWpkQ+DmEQCAs7Oz1sOfffZZjBkzRm1bfn6+0atJREQ1nzKs3Lt3T+t+hpr/d+HCBbi4uEAikWDq1KmIi4tDy5YtVftXrlwJFxcXuLi4ID4+Hvv27av0dNgbNmyAq6srXnvtNbXtM2bMQGxsLA4dOoQpU6Zg0aJFeOedd8otKzo6Gu7u7qpbZYOV0dxLAa7vw+stFVjQ3QG4lgAAGDt2LAICAgAAzzzzjOrw//3vf/jhhx9Ul/YAoFOnTqatMxER1UgVdRBWsvpQExgYiLNnzyI5ORnTpk3DuHHj1PqFREREIDU1FYmJiXjuuecwfPhwnesalbV27VpERETAwcFBbfucOXPQvXt3BAUFYerUqfj888+xYsUKyGQynWVFRUVBKpWqbnfu3NH3VA0rJ139sVs9KBQK/PTTT3j22Wexf/9+XLhwQeNpLVu2xJEjT1t1zp8/b4qaEhFRDVdRWKmtLTV6L7Fqb2+Ppk2bAnjaMfj06dNYtmwZvv32WwBQtYw0a9YML730Ejw9PREXF4dRo0aVW+7Ro0dx9erVSs3H0rFjR5SUlODWrVsIDAzUeoxEIoFEItHz7IyoMFv9sbM3Nm7ciEePHiElJQU9e/bU+dTSM3AWFRUhJycHdevWNVJFiYioplO21Lz33nta99fWUFPteWoUCoXOFhNBECAIQrktKkpr1qxBcHAw2rRpU+GxZ8+ehVgsho+Pj971NRfFY/UZNP++l4E33ngDQMV9ZUr3Xo+IiIC3t7fhK0hERLWGMtRUFFpqW6jRq6UmKioKffv2RYMGDZCbm4vNmzfj8OHDSEhIwI0bN7B161aEhYXB29sbd+/eRUxMDBwdHdGvXz9VGc2bN0d0dLTaqJ+cnBxs27YNn3/+ucZrJiUlITk5GT169ICrqyuSkpIwe/ZsjBkzBp6entU4ddO5f/8+fIty1bb978atSj+/Tp06qvu//PKLoapFRES1lDKs6OpbU1sXStYr1GRmZmLs2LFIT0+Hu7s7goKCkJCQgNDQUKSlpeHo0aNYunQpHj9+DF9fX3Tr1g0nTpxQa1G5evUqpFKpWrmxsbEQBEHrJSqJRILY2FjMnz8fMpkMjRs3xuzZszFnzpwqnrLp2Sd9qbHNQfzP6K1bt26V+/x69eqp7isUCoPVi4iIaqeKZhTWNfK2ptMr1KxZs0bnvnr16mH37t0VlqEtHU6ePFltjpvS2rdvj5MnT1a+khbI8+wqjW2Hz/9zOaphw4YVltG/f3/s2rXLoPUiIqLaqaLLTz/88AN+/fVX2Nrq3bXWonHtJ2OTF2vd/PWm3/Uqpk+fPpUeGk9ERNatqKgIAHQuVeTr64spU6aYskomwVBjbFd2at2clvu0xSo1NbVSxbi5ual+SIHaez2UiGqGlStXmrsKVI6bN28CADZv3mzmmpgWQ42xPbhW7u7KXHoC1Id1Ayh3PS0iImOrbZctapvc3NyKD6qFGGqMrfvccndXdgRX2VBT0TIRRETGUFvnN6ltvv/+e3NXwSwYakwgpctatcfvH3o6w/KmTZsqXQZDDRFZAoaamkG5duCsWbPMWxETY6gxIoVCwOlbWbhQ4ImecS7ICOgHec8FWHT0ad+YykxKqFQ21BQXa++ATERkTAw1NcPrr78OAHj55ZfNXBPT4kVRI5KVKDDsm6SnD/p+h5euA0df6wGFMBvA04kIK8vNzU3tMVtqiMgcGGpqhhdeeAHXrl1Ds2bNzF0Vk2JLjRHJSjQ780ps//kvb9GiRaXLKjtREltqiMgcGGpqDmsLNABDjVHJSjRn/5XY/rOOU9nWl/KwpYaILAFDDVkyhhojkhVrCTV2//yX65q+WhsbGxt89tlnqsel56whIjIVhhqyZAw1RlSkZS4ZO5uq/5cHBgaq7k+aNKnK5RARVZUy1OjzRxmRqfCn0ojO35VqbLMRi7Bx40YcPXpU7/IGDBiAL798ujjm4cOHq1s9IiK9saWGLBlHPxnRnJ/Oad2uHGqnL5FIhM6dO1enSkRE1aJQPL2szlBDlogtNUbyON84fV44NTkRmRNbasiSMdQYya9n7xmlXOVfSURE5sBQQ5aMocZItA3nNgQuZElE5sRQQ5aMocZIjPVxt7OzU91fvXq1kV6FiEg7hhqyZAw1NUzbtm1V9ydPnoxt27aZrzJEZHUYasiSMdQYibE+7yKRCFKpFFlZWRg1ahQiIiKwZ88e47wYEVEZDDVkyTiUxkiKtPSp6R7obZCylUsmrF+/Hjk5OXjttdewd+9edOnSxSDlExHpwlBDlowtNUaSfDNLY1teoWHXa7Kzs8NPP/2EF198Ea+++irOnj1r0PKJiMpiqCFLxlBjBDmFxUi9na2x/cbDfIO/lqOjI3bs2IFmzZohLCwM165dM/hrEBEpMdSQJWOoMQI3Bzscm9tDY3tTHxfjvJ6bG+Lj4+Ht7Y1evXrh9u3bRnkdIiKu/USWjD+VRuLhZA+RolhtW//W/kZ7vbp162Lv3r2wsbFBaGgoMjMzjfZaRGS92FJDloyhxojq3D2muu8qsUVoS1+jvt4zzzyDffv2IScnB71790Z2drZRX4+IrA9DDVkyhhojalh0C/d/+gDhjQT8Or0z6nk4Gv01mzZtir179+Lvv//GgAEDUFBQYPTXJCLrwQUtyZIx1BjR4EGDUHjzD3w6vheaeBunP402rVu3xu7du5GamoohQ4agqMg4i2sSkfVhSw1ZMoYaI1L+RWOODnUvvfQSfvvtNxw8eBBjxozhmlFEZBAMNWTJGGqMSBkkbGxszPL6PXv2RGxsLH7++WdMnTpV9cuIiKiqGGrIkjHUGJEy1Jhz6OPgwYOxdu1arF69Gu+88w6DDRFVC0MNWTIuk2BEcrkcYrHY7B/+cePGQSqVYubMmfD09MR///tfs9aHiGouhhqyZAw1RiSXy8126amsGTNmIDs7G++++y7c3d3xr3/9y9xVIqIaiKGGLBlDjRFZUqgBgPfffx+PHz/G9OnT4eHhgYiICHNXiYhqGIYasmQMNUZkaaFGJBLh888/h1Qqxbhx4+Dm5oYBAwaYu1pEVINwmQSyZHr9VK5atQpBQUFwc3ODm5sbQkJCEB8fr9o/ZcoUNGnSBI6OjvD29kZ4eDiuXLlSbpnjx4+HSCRSu/Xp00ftmKysLERERMDNzQ0eHh6IjIxEXl6ePlU3C4VCYXEffLFYjO+++w7h4eEYNmwYDh06ZO4qEVENwpYasmR6feMGBAQgJiYGKSkpOHPmDF555RWEh4fj4sWLAIDg4GCsW7cOly9fRkJCAgRBQFhYWIVzpPTp0wfp6emq25YtW9T2R0RE4OLFi9i3bx927tyJI0eOYPLkyXqequlZWkuNkq2tLTZv3oxu3bph4MCBOH36tLmrREQ1BEMNWTK9Lj+VvVTxySefYNWqVTh58iRatWqlFjQaNWqEjz/+GG3atMGtW7fQpEkTneVKJBL4+flp3Xf58mXs2bMHp0+fRocOHQAAK1asQL9+/bBkyRLUq1dPn1MwKUsNNcDT//O4uDiEhoaiT58+OHLkCFq1amXuahGRhWOoIUtW5WsjcrkcsbGxyM/PR0hIiMb+/Px8rFu3Do0bN0b9+vXLLevw4cPw8fFBYGAgpk2bhkePHqn2JSUlwcPDQxVoAKBXr14Qi8VITk7WWaZMJkNOTo7azdQsOdQAgLOzM3bt2oWAgACEhobixo0b5q4SEVmw+4sXo3jkKJxo2gzeb/8b9z/9zNxVIlKjd6i5cOECXFxcIJFIMHXqVMTFxaFly5aq/StXroSLiwtcXFwQHx+Pffv2wd7eXmd5ffr0wcaNG3HgwAF8+umnSExMRN++fVWXrDIyMuDj46P2HFtbW3h5eSEjI0NnudHR0XB3d1fdKgpWxmDpoQYAPD09kZCQAGdnZ4SGhiI9Pd3cVSIiCyU8eQLk5cHDxgbi/HwonnDBXLIseoeawMBAnD17FsnJyZg2bRrGjRuHS5cuqfZHREQgNTUViYmJeO655zB8+HAUFhbqLG/kyJEYOHAgWrdujUGDBmHnzp04ffo0Dh8+XKUTUoqKioJUKlXd7ty5U63yquLDDz+sESHBz88P+/fvh0wmQ1hYGLKyssxdJSKqCXgJiiyM3qHG3t4eTZs2RXBwMKKjo9GmTRssW7ZMtd/d3R3NmjVDt27dsH37dly5cgVxcXGVLv/ZZ59F3bp1cf36dQBPv3AzMzPVjikpKUFWVpbOfjjA0z4jylFayhvp1rBhQ+zbtw8ZGRno27cvcnNzzV0lIrIwZZdZYb8asjTVHm+sUCggk8m07hMEAYIg6Nyvzd27d/Ho0SP4+/sDAEJCQpCdnY2UlBTVMQcPHoRCoUDHjh2rV3lS06JFC+zZsweXL1/GoEGDym1hIyIrxLXjyMLpFWqioqJw5MgR3Lp1CxcuXEBUVBQOHz6MiIgI3LhxA9HR0UhJScHt27dx4sQJDBs2DI6OjujXr5+qjObNm6tabvLy8vCf//wHJ0+exK1bt3DgwAGEh4ejadOm6N27N4CnX7R9+vTBpEmTcOrUKRw/fhzTp0/HyJEjLXrkU00VHByMnTt34sSJExg5ciRKSkrMXSUishQamYYtNWRZ9Ao1mZmZGDt2LAIDA9GzZ0+cPn0aCQkJCA0NhYODA44ePYp+/fqhadOmGDFiBFxdXXHixAm1jr5Xr16FVCoFANjY2OD8+fMYOHAgnnvuOURGRiI4OBhHjx6FRCJRPWfTpk1o3rw5evbsiX79+qFLly747rvvDPRfYBwVzc1jyZSXDnft2oUJEyZAoVCYu0pEZIl4+YksjF7z1KxZs0bnvnr16mH37t0VllH6mqyjoyMSEhIqfI6Xlxc2b95cuUpaiJow43F5+vfvjx9++AGjR4+Gh4cHli1bxuvnRNaOl5/IwnHtJyNRdrRdv369eStSDSNHjoRUKsXUqVPh4eGBhQsXmrtKRGROZUMN/9AhC8NQYyTKUFPeTMo1wZQpU5CdnY158+bB09MTs2fPNneViMhSMNSQhWGoMRJlqHF1dTVzTapv7ty5yM7Oxpw5c+Du7o4JEyaYu0pEZBZlW2rMUwsiXRhqjGTv3r0Ans7YWxssWrQI2dnZmDRpEtzc3DB06FBzV4mITKzsPDVEloahxkjef/99AICvr6+Za2IYIpEIX331FbKzszF69Gi4urqqht0TkXXi4AGyNNWefI/KV966VzWNjY0NNm7ciLCwMLz22ms4ceKEuatERKak0VLDUEOWhaHGgPbv36+xvEBt+0vGzs4O27ZtQ4cOHdCvXz+cO3fO3FUiIlPRyDS16/cb1XwMNQYil8sRGhqKiRMnmrsqRufo6Ijff/8dTZs2RVhYGK5du2buKhERETHUGMqTJ08AADdu3LCKznRubm7Ys2cPvLy8EBoaapZV0InIxDhPDVk4hhoDUS7+eOPGDRQVFZm5NqZRt25d7Nu3DyKRCKGhoXjw4IG5q0RExsRQQxaOocZAlAs/ZmVl1fglEvQREBCAffv2ITs7G71791at60VERGRqDDUGogw1Xl5eSExMBAB07tzZnFUymWbNmmHv3r24efMmBgwYgIKCAnNXiYiMQaOlxjzVINKFocZAiouLATydnGrIkCEAgCVLlpizSiYVFBSE3bt3IyUlBUOHDrWaS3BE1kU91NS20Z1U8zHUGIhyhXJliw0AODk5mas6ZhESEoJff/0VBw4cwNixYyGXy81dJSIyJoYasjAMNQYyd+5cAFDrT+Pg4GCu6phNaGgotmzZgm3btmHatGlWMRKMyFrw80yWjqHGQJTNsKU/9BKJxFzVMavXXnsNa9aswffff4958+aZuzpEZCgamYYtNWRZuPaTEVlrqAGA8ePHIzs7G7Nnz4anpyfDDVFtxMtPZGEYaoyoNq37VBWzZs1CdnY2oqKi4O7ujmnTppm7SkRUHbz8RBaOl58MZMKECRrbbG2ZGT/88EPMmDED//rXv7B582ZzV4eIqoOT75GF47eugTg6Ompsc3NzM0NNLItIJMKXX34JqVSKsWPHws3NDa+++qq5q0VEVSEo1B8z05CFYagxkNJDuQHAxsbGTDWxPGKxGKtXr0ZOTg6GDRuG+Ph4dO/e3dzVIqJKKrpzBw+/+ho5exLUd7ClhiwMLz8ZSNlQ07t3bzPVxDLZ2tpiy5Yt6NKlCwYMGIAzZ86Yu0pEVIHijAykfzgf/+vbD9LffgMU6i01tl51zFQzIu0YagykbKgp+5iejgaLi4vD888/jz59+uDSpUvmrhIRaVHy6BHuR8fgf2G9kb11K6Dl95ldwwZw68M/3siyMNQYiHKZBKVnn33WTDWxbC4uLti1axf8/f0RGhqKmzdvmrtKRPT/5FIpMr9ciuuhYcjasAGCluVOxE5OqDNtKhpv2wZbb28z1JJIN/apMZCyLTNffvmlmWpi+by8vLB371507doVoaGhOHr0KPz9/c1dLSKrJc/Lx+MfNuLR2nVQ5OZqPUYkkcBz9GjUmTQRtl5eJq4hUeUw1BhI2VBjjUsk6MPf3x/79+9H586dERYWhsTERHjxFyWRSSkKC/F4Syweffcd5I8faz/Izg4eQ4eg7tSpsPP1NW0FifTEUGMg7EOjv0aNGmHfvn3o1q0b+vXrh/3798PFxcXc1SKq9YSiImT//DMervoGJZmZ2g8Si+EeHo66/3oT9gEBpq0gURUx1BhI2T41VDktW7bEnj178Morr2DQoEHYuXMnW7mIjEQoKYF0x+94+PXXKL53T+dxbv36ou706ZCwbyDVMCLBSpZdzcnJgbu7O6RSqcEnxZPL5RqzB1vJf6vBJCYmok+fPujTpw+2bdvG2ZiJDEhQKJCbkIAHy1egqJzO+S49esB75gw4NG9uwtoRlU+f729+cxgAhyZX38svv4xt27Zh8ODBmDhxItauXQuxmIPziKpDEATkHTqMB8uXQ3blis7jnDuFwHvmTDi2aWPC2hEZHkONAbi6upq7CrXCq6++ig0bNmDMmDFwd3fH0qVLIeKMpUR6EwQBBUlJyFy2DIXnzus8zrFdO3jPmgXnji+asHZExsNQYwCKMrNsUtWNHj0aUqkUb775Jjw9PTF//nxzV4moRin4IxUPli5FwalTOo9xaNkS3rNmwrlrV/7hQLUKQ40ByOVytcdvvPGGmWpSO0ybNg3Z2dn473//Cw8PD8yaNcvcVSKyeE8uXsSDZcuQf+SozmPsmzaB94wZcA0NZZihWomhxgBKhxp2EDaMefPmITs7G7Nnz4a7uzuDIpEOsuvX8WD5CuTu3avzGLsGDeA9/V9w698fIi62S7WYXj0xV61ahaCgILi5ucHNzQ0hISGIj49X7Z8yZQqaNGkCR0dHeHt7Izw8HFfK6ZxWXFyMuXPnonXr1nB2dka9evUwduxYpKWlqR3XqFEjiEQitVtMTIyep2o8ZVtqqPqU7/HkyZMxceJE/PLLL+auEpFFKbp9G/feeQc3BgzUGWhs/fzgt3ABmuzaCfeBAxloqNbTq6UmICAAMTExaNasGQRBwIYNGxAeHo7U1FS0atUKwcHBiIiIQIMGDZCVlYX58+cjLCwMN2/ehI2WD1NBQQH++OMPvP/++2jTpg0eP36MmTNnYuDAgRqrOC9cuBCTJk1SPbakzrkMNcYhEomwcuVKSKVSjBo1Cjt37kRoaKi5q0VkVsXp6Xi46htk//KL1oUmAcCmTh3UnTIFHiOGQyyRmLiGROZT7XlqvLy8sHjxYkRGRmrsO3/+PNq0aYPr16+jSZMmlSrv9OnTePHFF/H333+jQYMGAJ621MyaNatafSuMOU/N2bNn0a5dO7Rt2xapqakGLZuAoqIiDBo0CImJidi/fz9CQkLMXSUikyt5+BAPv/sO2bFbtS40CQBid3fUiYyE15gIiJ2cTFxDIuPQ5/u7yhOByOVyxMbGIj8/X+uXTH5+PtatW4fGjRujfv36lS5XKpVCJBLBw8NDbXtMTAzq1KmDdu3aYfHixRUuSyCTyZCTk6N2MxZlS82aNWuM9hrWzN7eHtu3b0dwcDD69euH8+d1D1Elqm3k2dnI/PwLXA8Nw+ONP+hcObvum2+i6f59qDt5EgMNWS29OwpfuHABISEhKCwshIuLC+Li4tCyZUvV/pUrV+Kdd95Bfn4+AgMDsW/fPtjb21eq7MLCQsydOxejRo1SS2MzZsxA+/bt4eXlhRMnTiAqKgrp6en44osvdJYVHR2NBQsW6Ht6VaIc0q3tEhsZhpOTE37//Xf06NEDYWFhOHr0KJo1a2buahEZjTwvH1kbNyBr7Too8vK0HiOSSOAZEfF05WxPTxPXkMjy6H35qaioCLdv34ZUKsX27duxevVqJCYmqoKNVCpFZmYm0tPTsWTJEty7dw/Hjx+vcD2f4uJiDBkyBHfv3sXhw4fLbWJau3YtpkyZgry8PEh0XC+WyWSQyWSqxzk5Oahfv75RLj8lJyfjpZdewvnz59G6dWuDlk3qHjx4gK5du6KwsBDHjh1DABfao1pGUViIx5s249H330Oena39IDs7eA4bhjpTp8DOx8ek9SMyNX0uP1W7T02vXr3QpEkTfPvttxr7ioqK4OnpidWrV2PUqFE6yyguLsbw4cNx48YNHDx4EHXq1Cn3NS9evIjnn38eV65cQWBgYKXqacw+NSdOnEDnzp3x559/olWrVgYtmzTduXMHXbp0gZOTE44cOQJvb29zV4mo2oSiIjzetg2PvvkWJQ8eaD9ILIb74EGoO+1N2Ac8Y9oKEpmJSdd+UigUai0ipQmCAEEQdO4H/gk0f/31Fw4dOlRhoAGedswVi8XwsZC/UHj5ybTq16+P/fv3o0uXLujbty8OHjxo8KBKZCpCSQmkv+14unJ2meksSnPr1w9135oOSePGJqwdUc2iV6iJiopC37590aBBA+Tm5mLz5s04fPgwEhIScOPGDWzduhVhYWHw9vbG3bt3ERMTA0dHR/Tr109VRvPmzREdHY3BgwejuLgYQ4cOxR9//IGdO3dCLpcjIyMDwNNRVfb29khKSkJycjJ69OgBV1dXJCUlYfbs2RgzZgw8LeQasjLUcAFG02nWrBn27t2Ll19+GQMGDMCePXvg6Oho7moRVZqgUCAnPh4PV3yFolu3dB7n0rMnvGe8BYdKtkoTWTO9Qk1mZibGjh2L9PR0uLu7IygoCAkJCQgNDUVaWhqOHj2KpUuX4vHjx/D19UW3bt1w4sQJtRaVq1evQiqVAgDu3buHHTt2AADatm2r9lqHDh1C9+7dIZFIEBsbi/nz50Mmk6Fx48aYPXs25syZU81TNxzl6CeGGtNq06YNdu3ahbCwMAwbNgxxcXGws7Mzd7WIyiUIAvIOHsSDZcshu3ZN53HOnTvDe+YMOAYFmbB2RDVbtfvU1BTG7FNz4MAB9OrVCzdu3EBjNg2bXEJCAgYMGIAhQ4bgxx9/5GVAskiCICD/xAk8WLYcheVMS+AYHAyfWTPh9MILJqwdkeUyaZ8a4uUnc+vduzc2b96MESNGwN3dHatWreJifWRRClJS8ODLpSgoM1N6aQ6tWsF71iw4d+nMn1+iKmKoMQBefjK/oUOH4vvvv0dkZCQ8PT0RHR1t7ioR4cmFP/Fg+XLkH9W9crakWVPUnTEDrr16McwQVRNDjQEUFxcD4Ognc5swYQKkUinmzJkDDw8PzJ0719xVIitVeO0aHq5Ygdx9+3UeY9ewAbynvwW3fn250CSRgTDUGMDAgQMBsKXGEsyePRuPHz/GvHnz4OHhgSlTpgAAsrKysH//fgwfPtzMNaTarOjvv/FgxVfI2bUL0NFd0dbfH97/ehPu4eEQsWM7kUEx1BgQQ41lWLBgAbKzszFt2jS4u7tj5MiRGD9+PH7//XcMGTKELWpkcMVpaXi4ahWyf4kD/v9ydFk2dev+s3J2JZeOISL9MNQYEEONZRCJRFi6dCmys7Px+uuvw9XVFZmZmQCejkAhMpSSBw/w8LvvkR0bC+H/L0OXZePujjqTJsIzIgJizqVEZFQMNQbEFgDLIRaLsXbtWuTk5GDo0KEoLCwE8LRTt60tf+ypeuTZ2Xi0Zg2yftwE4ckTrceInZ3h9cYb8Bo3FjauriauIZF14m93A2JLjWWxtbVFbGws+vfvj4MHDwL4Z/g91QxHjx5FmzZtLGYZDHleHrLWb0DW+vW6V852cIDXmAh4RUZy5WwiE2OoMSCGGsvj4OCAX3/9VfWlyFBTs3Tr1g0DBw7Eb7/9ZtZ6KJ48wePNm/Ho+9U6V84W2dnBY8QI1J0yGbZcZJXILBhqDIiXnyyTq6srVq9ejYkTJzLU1CDK/k/KpVTMQVFUhOyftuHht99A/uCh9oNsbODx2mDUnTYNdvXqmbaCRKSGocaA2FJjudhSU/MU6+h4awpCSQmkv/6KBytXoiQtXftBIhHc+veH9/R/wb5RI5PWj4i0Y6gxIIYay6V8bxhqag5zhBpBoUDO7ng8XLECRX//rfM419BeqDv9LTgEPmfC2hFRRRhqDIiXnywXQ03NY8pQIwgC8g4ceLpy9l9/6TzOuUsXeM+cCcfWz5usbkRUeQw1BsSWGsulDJxyHROjkeUxRagRBAH5x47jwbJlKPzzT53HOXXoAO9ZM+HUoYPR60REVcdQY0BcjM5ysaWm5ikqKlLdP3v2LNq2bWvQ8uU5Obg3ew7yjx/XeYxD69bwnjkTzp078fNNVAMw1JBVYKipeUq31KSlpRk81Dxc9Y3OQCN57jl4z5wBl1deYZghqkEYasgqMNTUPKVDjaGXt/jtt99Q7+gRuJTZbt+wIerOeAtufftCxMvJRDUOP7VkFRhqap7SoSYjI8OgZQ8aNAh/njuvts1z9Cg8u2sn3Pv3Z6AhqqHYUkNWgaGmZjl+/DgePXqkeiyRSAz+GrZlLivZN20KEdcFI6rR+Akmq6Ac/cRQUzN06dJF7XHpTsNFRUWQy+VwrOaK1+IyXWVEYk7JQFTTsY2VrAJbamoObcPuIyMjcfXqVeTm5kIikcDJyUnvcnfs2IHjpToG26BMqrHhr0Oimo4tNWQVlKGG89RYvidPnmjdvmXLFqxZs6bK5YaHhwP4p9Nx2QjDlhqimo9/mlSToUdlkHGwpabmOHTokNbtIpEI6enpFR6nTennKX8GWpe5fCWyt9OnmkRkgRhqqomhpmZgqKk5Bg4cqHV72c/aK6+8UunP3+LFi1X3165dq/UYkYNDJWtIRJaKoaaa+CVZMzDU1A7Tp09Xe5yZmVmp55XuaLxr1y4AQEHZnwUzrgpORIbBUFNNbKmpGRhqaj5BEODr66u2TVf/m7Jyc3NV91966SUAgF3ZId2NG1ezhkRkbgw11cRQUzNwSHftIJPJdD4WBAHbtm2DQqFQ3ZTy8vJU9+fNmwdAM9SI7NinhqimY6ipJoaamoEtNbVDeaHm4MGDGD58OL7//ns8//zzCAgIUO177rnn1J43tU4djbI58R5RzcdPcTXxS7Jm4JDumk8kEqldRgLU+8ool1WYOnWqxnMPHjyo9nhGXW/N8o0wazERmRZbaqqJLTU1A1tqaj6FQoGvv/5abVvplpq7d+9qfV5RURFOnTpVYfkie/vqVZCIzI6hppoYamoGhhrLl12YjV/++gWubV217o+JidHYlp+fj4SEBCQlJWHSpEkAgP79+6sdU9kRUiIJh3QT1XS8/FRN/JKsGRhqLNuBvw9gftJ8ZMuy0XBWQ2T+lonMOPUwUqxlyPXQoUM1LkmV/UOjpKRE7XHZ/jVKYgdefiKq6dhSU01sqakZOPrJMuUV5eH94+9j1uFZyJZlq7Z7dPGo1PPLBhrgn/daqWzn4itXrmgtix2FiWo+hppqqu5KwWQabKmxPCn3UzD096H49fqvGvtsXaseMMp+JpWdiU+ePPn0jxD+DBDVWgw11WTHuS1qBIYay1EsL8bSlKV4Y88buJd3T+sxYnsxRDYirfuCgoLKLf+nn35Se6wMNfb/3xFYZGMDsZubvtUmohpAr1CzatUqBAUFwc3NDW5ubggJCUF8fLxq/5QpU9CkSRM4OjrC29sb4eHhOpt6lQRBwAcffAB/f384OjqiV69e+Ouvv9SOycrKQkREBNzc3ODh4YHIyEi1ybSIKsIh3Zbh+uPrGLVrFNb8uQYCdF+6VRQrIHZ4+p61adNGbd/x48f1ek3l5Sf7UqOb/D/6SO0Yz9Gj9CqTiCyTXqEmICAAMTExSElJwZkzZ/DKK68gPDwcFy9eBAAEBwdj3bp1uHz5MhISEiAIAsLCwsr9Ivnss8+wfPlyfPPNN0hOToazszN69+6NwsJC1TERERG4ePEi9u3bh507d+LIkSOYPHlyFU+ZrBFbasxLISiw8eJGjNg5AlcfX9XY39a7LdaErcGjhY9wMfIiYnxjIM9/+ntj7969ase6uLggOTkZfn5+Fb5uUVGRqqVGUmoeGpfuL8OlRw8AgH2TJvAaN67K50ZEFkSoJk9PT2H16tVa9507d04AIFy/fl3rfoVCIfj5+QmLFy9WbcvOzhYkEomwZcsWQRAE4dKlSwIA4fTp06pj4uPjBZFIJNy7d6/S9ZRKpQIAQSqVVvo5lQVAMMB/JRnR3bt3BQDC7t27zV0Vq5Oely5E7okUnl//vMat7ca2wpoLa4QSeYkgCIJQp04dAYCQlJSk9rlS3g8ICFCV26xZM9V2Xbc7d+4ICQkJAgDh77//VquXQqEQ5Pn5gqK42HT/GUSkN32+v6vcp0YulyM2Nhb5+fkICQnR2J+fn49169ahcePGqF+/vtYybt68iYyMDPTq1Uu1zd3dHR07dkRSUhIAICkpCR4eHujQoYPqmF69ekEsFiM5OVln/WQyGXJyctRuxtKwYUOjlU2GwdFP5rHrxi689ttrSM7Q/Kw29WiK2P6xmPD8BNiIn74/ymHbLi4uWsvr27ev6r6y5aVJkyYa25SkUqnq8lPZfSKRCGInJ456IqpF9A41Fy5cgIuLCyQSCaZOnYq4uDi0bNlStX/lypVwcXGBi4sL4uPjsW/fPrVr2aVlZGQAgMbKu76+vqp9GRkZ8PHxUdtva2sLLy8v1THaREdHw93dXXXTFawM4eLFi3j8+LHRyqfq4+Un05LKpHgn8R3MOzoPucWaw67HthyL2FdjEegVqLZd+ceHs7MzACA2NlZtv/J9BAAHh6eT5f3vf//DBx98gDt37mgM55ZKpdixYwcAwI2dg4lqPb1DTWBgIM6ePYvk5GRMmzYN48aNw6VLl1T7IyIikJqaisTERDz33HMYPny4Wv8YU4mKioJUKlXd7ty5Y7TXcnZ2hoeHh9HKp+pjqDGdpLQkvLbjNcTfitfY5+fsh9Vhq/GfF/4DiY3uye7s7e0hCAJGjBihtr10aFG2vLz55ptYsGABAgIC8MUXX6gdn5GRgdWrVwPg9AtE1kDvUGNvb4+mTZsiODgY0dHRaNOmDZYtW6ba7+7ujmbNmqFbt27Yvn07rly5gri4OK1lKTv63b9/X237/fv3Vfv8/Pw0pjkvKSlBVlZWuR0FJRKJapSW8kbWi6HG+ApLCvHpqU8xed9kZBZoLk3Q/9n++Hngz+jo37HCssq27k6YMAGA9lBTeoj3lClT1J43ZMiQyp8AEdV41Z6nRqFQaMzYqSQIAgRB0Lm/cePG8PPzw4EDB1TbcnJykJycrOqnExISguzsbKSkpKiOOXjwIBQKBTp2rPiXIxHAId3GdunRJYzYOQI/Xv5RY5+bvRsWd1uMmK4xcLOv3B8XZS8jjR07FoD6qtxKTk5Oao8HDhxY2WoTUS2jV6iJiorCkSNHcOvWLVy4cAFRUVE4fPgwIiIicOPGDURHRyMlJQW3b9/GiRMnMGzYMDg6OqJfv36qMpo3b65quRGJRJg1axY+/vhj7NixAxcuXMDYsWNRr149DBo0CADQokUL9OnTB5MmTcKpU6dw/PhxTJ8+HSNHjkS9evUM9z9BtRpbaoxDrpBj9YXViNgVgRvSGxr7Q/xD8MvAX9CncR+9yi17qejs2bMAgG+//Va1TfleKvvfKP32229cvoTISunV7T8zMxNjx45Feno63N3dERQUhISEBISGhiItLQ1Hjx7F0qVL8fjxY/j6+qJbt244ceKEWkffq1evQiqVqh6/8847yM/Px+TJk5GdnY0uXbpgz549qk6AALBp0yZMnz4dPXv2hFgsxpAhQ7B8+XIDnD5ZC+Vf/mUvdVLV3cm9g3ePvYvUzFSNfRIbCWYHz8ao5qMgFunfIFw21GhbzFLZ6la2pUYb/r4gsg56hZo1a9bo3FevXj3s3r27wjLK/gUlEomwcOFCLFy4UOdzvLy8sHnz5spXlKgMZUvNjBkz8NZbb5m5NjWbIAj49fqviDkVg4KSAo39LbxaILprNJp4NNHy7KoJCAgAAMTExKi2KVtodIWaMWPG4Mcfn14O0zVEnIhqF07QQFah9FBgqrpHTx5hQdICHLpzSGOfWCRG5PORmNZmGuxsDLsm2tChQ5GRkYHp06ertpWUlADQHWqaNm2qul92jhoiqp34m56sAkNN9SXeScRrO17TGmgCXAKwvs96zGg/w+CBBng6N9WsWbNgW2qiPOUlKV2hZu7cuar7uubKIqLahS01ZBWUq6m/++67Zq5JzVNQXIDFZxZj+7XtWvcPaTYE/3nhP3C2c9a631gqCjUODg5wc3NDTk4OW2qIrAT/fCWr8sknn5i7CjXKuQfnMOz3YVoDjZeDF5b3WI75neabPNAAFYca4J8wy5YaIuvAlhoi0lCsKMa3577F9xe+h0LQHAbfPaA7Puz0Ieo61jVD7Z6qTKhRjnpjSw2RdWCoIfp/SUlJaN++vdV/Ad6U3kTU0ShcfHRRY5+jrSPmvjAXrzV7DSKRyAy1+4cy1JS3/IFy2DdbaoisA0MNEZ6u6t6pUycATyd1M/cXtjkIgoDYq7H44swXKJRrrtfWxrsNFnVZhAZuDcxQO019+/bFxYsXNWYfLk05QsragyqRtWCfGiJAbSmP3FzNVaVru8yCTEzbPw2LkhdpBBpbkS3eavcW1vdZbzGBBng6Z012dna5xygn+mRLDZF1YEsNEdTXFFL+dW8t9t7ai4UnF0Iqk2rsa+zeGNFdo9GqTisz1Kx8NjY2cHd3r9SxHNJPZB34SSertnv3buTl5amFmp07d5qxRqaTW5SL/x79L95OfFtroBndfDS2vrrVIgONvurXr2/uKhCRCTDUkNXKy8tD//79MWPGDLXLT+PGjTNjrUzjdMZpDNkxBL/f+F1jn4+jD77t9S2iOkbB0VZ3J9yaxM2tcquDE1HNxstPZLWUqzzfvXtXraVG23G15fJFkbwIK1JXYMPFDRCguZJ1WMMwfBDyAdwllbusY2hxcXF49OiRwcqLiIhQjYAiotqPoYasTmFhIRwcHFRfdgqFQmeouXbtGgIDA3H8+HHV6Kia6mrWVUQdi8Jfj//S2Odq54r/vvRf9G/c36wjvwYNGmTQ8pQLWhKRdagdf34S6UF5qUkZag4cOKAz1Jw7dw4AcPLkSdNUzggUggLr/1yPUbtGaQ00L/i9gJ8H/oxXn33VKoeyE1HtwVBDVkc5uqn0KKfSfWq0HZuQkGD8ihlBWl4aJu6diM9TPkexolhtn53YDv/u8G+sDlsNfxd/M9WQiMhwePmJrI6yVaZ0qCnbUnP9+nU0bdoU8fHxAIC9e/earoIGIAgCdt7YiUXJi5BXnKex/znP5xDdNRrPeT5nhtoRERkHQw1ZnZKSEhQWFqoN833zzTfVjnn06BGaNm2KH374wdTVq7bswmx8dPIj7P1bM4iJIML458djetvpsLfhhHREVLvw8hNZHblcjuPHj6ttu3z5MgDg2LFjAICXXnqp3BFRlur4veN4bcdrWgONv7M/1vRegznBcxhoiKhWYqghq1NSUoJevXpp3dewYUPV/SVLlqBLly6mqla1PCl5gkXJizB1/1Q8ePJAY//AJgPx88Cf8YLfC2aoHRGRafDyE1md8uYtKT3t/rvvvougoCBTVKlaLj68iHlH5+FWzi2Nfe4Sd3wY8iFCG4aavmJERCbGUENWp7y1ncqu5nz+/HkAQGBgoFHrVBUlihKsubAG35z7BiWC5jl1fqYzPur0EbydvM1QOyIi02OoIatTXqixs7PTul3XkG9zuZ1zG1HHonD+wXmNfQ42Dni7w9sYETiC884QkVVhnxqyOuVdfhKJRGjXrp3atgYNGlhMp2FBELD92nYM/X2o1kDzfJ3n8dOAnzCy+UgGGiKyOmypIatTXksNACQmJqotgPjss8/iwoULxq5WhR4+eYj5J+Yj8W6ixj4bkQ0mB03GpKBJsBNrb20iIqrtGGrI6lS0wKGjo/rK1Lm5uXj06BHkcjlsbGyMWTWdDt4+iAVJC5BVmKWxr4FrA0R3jUaQt+V3aiYiMiZefiKro5wluKzPPvsMAGBrq571CwsLAQDr1q0zbsW0yC/Ox4cnPsTMQzO1Bprhzw3HtgHbGGiIiMBQQ1boo48+0rq99HDu0ubPnw8AqFu3rrGqpFVqZiqG7hiKX/76RWNfHYc6+Lrn13g/5H042TmZtF5ERJaKoYasxpdffqn2uH379rhx44bqcelFKwVBUN338vICADx58sTINXyqWF6M5X8sx/g943E3767G/lfqv4Jfwn9Bt4BuJqkPEVFNwVBDViM8PFztsUQiURvCHRYWpvV53bt3BwDk5+cbrW5K/8v+HyJ2R+D7C99DISjU9jnZOmFhp4VY2mMpvBy8jF4XIqKahh2FyWrZ29urDXseMGCA1uPEYjEcHR1RUFBgtLooBAW2XNmCL1O+hEyuOSdOe5/2+KTLJwhwDTBaHYiIajq21JDVsrW1Rb169VRLIXh4eKjtb9q0qeq+k5OT0VpqMvIzMGXfFMScitEINLZiW8xsPxNre69loCEiqgBbashqlJ2MztfXFyKRCOfOndN6/Llz51Rz2jg7OxulpWbPzT1YeHIhcotyNfY1cW+C6K7RaFGnhcFfl4ioNmKoIatRegVuAHBwcCj3eCenf0YVOTs7G7SlRiqTYlHyIuy+uVvr/jEtxmBW8CxIbCRa9xMRkSaGGrIaIpEIfn5+yMjIAPDPUO3KcHJyMlhLTXJ6Mt499i7uF9zX2Ofr5IuPu3yMl/xfMshrERFZE7361KxatQpBQUFwc3ODm5sbQkJCVBOZZWVl4a233kJgYCAcHR3RoEEDzJgxA1KptNwyRSKR1tvixYtVxzRq1Ehjf0xMTBVOl6ydMtAAQP369Sv9vJSUFHz77bfVem2ZXIbPTn+GiXsnag00fRv3xc8Df2agISKqIr1aagICAhATE4NmzZpBEARs2LAB4eHhSE1NhSAISEtLw5IlS9CyZUv8/fffmDp1KtLS0rB9+3adZaanp6s9jo+PR2RkJIYMGaK2feHChZg0aZLqsaurqz5VJzKrK1lXEHU0Ctezr2vsc7V3xXsd30O/Z/uZoWZERLWHSCg9y1gVeHl5YfHixYiMjNTYt23bNowZMwb5+fkaU8/rMmjQIOTm5uLAgQOqbY0aNcKsWbMwa9asKtczJycH7u7ukEqlaosVknUp3VlYnx/9Nm3a4Pz583o9BwDkCjnWX1yPr85+hRKF5kKaHf074uPOH8PP2U+vcomIrIU+399VHtItl8sRGxuL/Px8hISEaD1GWYHKBpr79+9j165dWgNSTEwM6tSpg3bt2mHx4sUVrrQsk8mQk5OjdiOqqvHjx2uMnqrIvbx7mJAwAUv/WKoRaOzF9pj7wlx8F/odAw0RkYHo3VH4woULCAkJQWFhIVxcXBAXF4eWLVtqHPfw4UN89NFHmDx5cqXL3rBhA1xdXfHaa6+pbZ8xYwbat28PLy8vnDhxAlFRUUhPT8cXX3yhs6zo6GgsWLCg8idGVI7Lly9DEAQMGTIEP//8c4XH7721Fx+c+AD5xZojppp7NUdM1xg08WhijKoSEVktvS8/FRUV4fbt25BKpdi+fTtWr16NxMREtWCTk5OD0NBQeHl5YceOHWpT0ZenefPmCA0NxYoVK8o9bu3atZgyZQry8vIgkWgf8iqTySCT/TORWU5ODurXr8/LT1aubt26ePToEQD9Lj+99NJLSE5OrtTz0vLS0P+X/igR1FtnxCIxJjw/AW+2eRN2NpX7TBARWTt9Lj/p3VJjb2+vmmk1ODgYp0+fxrJly1QjQ3Jzc9GnTx+4uroiLi6u0oHm6NGjuHr1KrZu3VrhsR07dkRJSQlu3bqFwMBArcdIJBKdgYesV8eOHbF7t/a5YcpT2Z9jALjw8IJGoHnG5Rks6rII7X3b6/3aRERUOdVeJkGhUKhaRHJychAWFgZ7e3vs2LGjwsnNSluzZg2Cg4PRpk2bCo89e/YsxGIxfHx8qlxvsk7KfjFxcXF6Pe+9994DAJ39x0qTyjSnMdg+YDsDDRGRkenVUhMVFYW+ffuiQYMGyM3NxebNm3H48GEkJCSoAk1BQQF+/PFHtc653t7esLGxAfD0ElN0dDQGDx6sKjcnJwfbtm3D559/rvGaSUlJSE5ORo8ePeDq6oqkpCTMnj0bY8aMgaenZ3XOnayQMtT4+enXObd3794YP348rl69WuGxd3LvqD1+OeBluNi76PV6RESkP71CTWZmJsaOHYv09HS4u7sjKCgICQkJCA0NxeHDh1V9DkovBAgAN2/eRKNGjQAAV69e1ZiQLzY2FoIgYNSoURqvKZFIEBsbi/nz50Mmk6Fx48aYPXs25syZo0/ViQA8HbUHPF15W1/Ozs74448/MH/+/HJnIy5WFKs9rutYV+/XIiIi/VV7npqagvPUEPBPS82ff/6JVq1a6fXcefPm4dNPPwXw9LKrriHeH5/8GFuv/tM3bETgCLz30ntVrDERkXUzyTw1RDWRcmmE5s2b6/1cZ2dn1f3s7Gydx5Wdk8ZWzCXWiIhMgaGGrMrrr78OAKo+Xvoo3fG99NpkZZUNNTYi/V+LiIj0x1BDVuWTTz5R9avRV+kgdPfuXZ3HKQSF+vMYaoiITIKhhqxOVToJA+rrRsXGxuo8Ti6ohyaxiB8zIiJT4G9bokoqLCxU3S9vDqayfe8ZaoiITIO/bYkqafr06aolPHJzc3UeV7alxkbMy09ERKbAUENUSa6urpg+fXqFx5XtUyPmx4yIyCT425aoinQN69a2kCURERkff9sS6Wnu3LkAgLZt22rd/6DggdpjLpFARGQaDDVEenrhhRcAAH///bfW/RcfXVR7bG9jb/Q6ERERQw2R3sqbplsml2lsu/jwopYjiYjI0BhqiPTk4+Ojc9/9/Psa23KLdI+UIiIiw2GoIdJTgwYNdO4rKCnQ2Obl4GXM6hAR0f9jqCHSk6enJ/r16wcAKClRH+m0++ZujeM5Tw0RkWkw1BBVgXJhzCdPnqhtP5NxRuPYsjMMExGRcTDUEFWBk5MTAKCgQP1y00v+L2kcayu2NUmdiIisHUMNURU4OjoC0GypKVGUaBzLUENEZBoMNURVoGypefjwodr2JyVPNI4NbxpukjoREVk7hhqiKsjMzAQAzJkzR217obxQ49hn3Z81SZ2IiKwdQw1RFdSpUweA5uWnIc2GYLzfeKTHpiPcNxxrwtaYo3pERFaJF/uJqqBr164AgNGjR6ttb+vTFtmSbDza8wjjV4xHU/+m5qgeEZFVYksNURWIRCLUrVsXhYWF+O2335CQkKDap2y9cXBwMFf1iIisEltqiKpIIpFAJpNh0KBBAP6Zj6aw8Gm/GuUIKSIiMg221BBVkUQiUQWY0s6ceToBH1tqiIhMi6GGqIokEgmkUqnG9kWLFgFgqCEiMjWGGqIqkkgkyM/P19jeoUMHAICNDdd8IiIyJfapIaoiiUSC3Nxcje0tW7ZkKw0RkRmwpYaoiuzt7ZGXl6exvbi4GLa2/HuBiMjUGGqIqkhXS01JSQns7OzMUCMiIuvGUENURRKJRGtLTUlJCVtqiIjMgKGGqIrKa6lhqCEiMj2GGqIqkkgkePz4scZ2Xn4iIjIPhhqiKjp+/DhbaoiILAhDDVEV3b59W+t2jn4iIjIPvULNqlWrEBQUBDc3N7i5uSEkJATx8fEAgKysLLz11lsIDAyEo6MjGjRogBkzZmidcbW08ePHQyQSqd369OmjdkxWVhYiIiLg5uYGDw8PREZGau2gSWQJ2FJDRGQeev3mDQgIQExMDJo1awZBELBhwwaEh4cjNTUVgiAgLS0NS5YsQcuWLfH3339j6tSpSEtLw/bt28stt0+fPli3bp3qsUQiUdsfERGB9PR07Nu3D8XFxXjjjTcwefJkbN68WZ/qExmUo6OjakXu0tinhojIPESCcmnhKvLy8sLixYsRGRmpsW/btm0YM2YM8vPzdf7lOn78eGRnZ+PXX3/Vuv/y5cto2bIlTp8+rZp+fs+ePejXrx/u3r2LevXqVaqeOTk5cHd3h1QqhZubW+VOjqgcPj4+ePDggeqx8qPUoUMHdOjQAd988425qkZEVGvo8/1d5T41crkcsbGxyM/PR0hIiNZjlBWoqCn+8OHD8PHxQWBgIKZNm4ZHjx6p9iUlJcHDw0MVaACgV69eEIvFSE5O1lmmTCZDTk6O2o3IkFxcXNQeKxQKAGypISIyF71DzYULF+Di4gKJRIKpU6ciLi4OLVu21Dju4cOH+OijjzB58uRyy+vTpw82btyIAwcO4NNPP0ViYiL69u0LuVwOAMjIyICPj4/ac2xtbeHl5YWMjAyd5UZHR8Pd3V11q1+/vr6nSlSuspdJi4uLVf+yTw0Rkenp/Zs3MDAQZ8+ehVQqxfbt2zFu3DgkJiaqBZucnBz0798fLVu2xPz588stb+TIkar7rVu3RlBQEJo0aYLDhw+jZ8+e+lZPJSoqCnPmzFGrE4MNGZJYrP43gYODAwRBYEdhIiIz0bulxt7eHk2bNkVwcDCio6PRpk0bLFu2TLU/NzcXffr0gaurK+Li4vRuhn/22WdRt25dXL9+HQDg5+eHzMxMtWNKSkqQlZUFPz8/neVIJBLVKC3ljciQFi1apLFNLpejuLiYl5+IiMyg2vPUKBQKyGQyAE9bQ8LCwmBvb48dO3bAwcFB7/Lu3r2LR48ewd/fHwAQEhKC7OxspKSkqI45ePAgFAoFOnbsWN3qE1VZeHi4xrbCwkK21BARmYleoSYqKgpHjhzBrVu3cOHCBURFReHw4cOIiIhQBZr8/HysWbMGOTk5yMjIQEZGhqp/DAA0b94ccXFxAIC8vDz85z//wcmTJ3Hr1i0cOHAA4eHhaNq0KXr37g0AaNGiBfr06YNJkybh1KlTOH78OKZPn46RI0dWeuQTkakUFhaypYaIyEz0+nMyMzMTY8eORXp6Otzd3REUFISEhASEhobi8OHDqtFITZs2VXvezZs30ahRIwDA1atXVRPy2djY4Pz589iwYQOys7NRr149hIWF4aOPPlLrhLlp0yZMnz4dPXv2hFgsxpAhQ7B8+fLqnDeRUbClhojIfPT6zbtmzRqd+7p3747KTHlT+hhHR0ckJCRU+BwvLy9OtEcW6d///jfS09OxadMmAAw1RETmxLWfiKph8eLF+O9//6t6/OTJE15+IiIyE4Yaomoq3SH+7NmzbKkhIjIT/uYlqqbS/b9ef/11iMVittQQEZkBW2qIqqlsgFEoFGypISIyA4Yaomry8fHBDz/8oLaNoYaIyPQYaogMYMyYMWqPefmJiMj0GGqIjIAtNUREpsdQQ2QgH330keo+W2qIiEyPoYbIQFq3bq26b29vb8aaEBFZJ4YaIgNp3ry56j5DDRGR6THUEBlIYGCg6j4vPxERmR5DDZEBKVeOZ0sNEZHpMdQQGZCNjQ0AttQQEZkDQw2RASlDDVtqiIhMj6GGyIAYaoiIzIehhsiAePmJiMh8GGqIDEgsfvqRYqghIjI9hhoiAyoqKgIAeHp6mrkmRETWh6GGyIDeeOMNAICrq6uZa0JEZH0YaogMaN68ecjOzoZIJDJ3VYiIrA5DDZEB2drawt3d3dzVICKySgw1REREVCsw1BAREVGtwFBDREREtQJDDREREdUKDDVERERUKzDUEBERUa3AUENERES1AkMNERER1QoMNURERFQrMNQQERFRrcBQQ0RERLUCQw0RERHVCgw1REREVCvYmrsCpiIIAgAgJyfHzDUhIiKiylJ+byu/x8tjNaEmNzcXAFC/fn0z14SIiIj0lZubC3d393KPEQmViT61gEKhQFpaGlxdXSESicxWj5ycHNSvXx937tyBm5ub2ephKLXtfACeU03Bc7J8te18AJ6TOQiCgNzcXNSrVw9icfm9ZqympUYsFiMgIMDc1VBxc3OzyB+eqqpt5wPwnGoKnpPlq23nA/CcTK2iFholdhQmIiKiWoGhhoiIiGoFhhoTk0gk+PDDDyGRSMxdFYOobecD8JxqCp6T5att5wPwnCyd1XQUJiIiotqNLTVERERUKzDUEBERUa3AUENERES1AkMNERER1QpWH2q+/vprNGrUCA4ODujYsSNOnTql2peVlYW33noLgYGBcHR0RIMGDTBjxgxIpdJyyywsLMT48ePRunVr2NraYtCgQRrH/PLLLwgNDYW3tzfc3NwQEhKChIQEg5TbvHlz2NjYQCQSwcXFBcuXLzfJOR07dgydO3dGnTp14OjoiObNm+PLL78st1wAOH/+PLp27QoHBwfUr18fn332mdr+r7/+Gj4+PhCLxRCLxWjSpAl2795tkedj6e9RacePH4etrS3atm1b7nFAxe8RAERGRsLOzg4ikQhOTk5q/1eWdk6W/j4dPnwYIpFI45aRkVFu2Zb6WarK+Vj6ewQAMpkM7777Lho2bAiJRIJGjRph7dq15ZZ9+/Zt9O/fH05OTvDx8cF//vMflJSUqB0zc+ZMSCQSiEQiODg44IMPPrDoc5oxYwaCg4MhkUi0fvYOHz6M8PBw+Pv7w9nZGW3btsWmTZvKLbOqrDrUbN26FXPmzMGHH36IP/74A23atEHv3r2RmZkJAEhLS0NaWhqWLFmCP//8E+vXr8eePXsQGRlZbrlyuRyOjo6YMWMGevXqpfWYI0eOIDQ0FLt370ZKSgp69OiBAQMGIDU1tVrlrl69GtevX8e7776L3bt3o1mzZpg5cyYOHDhg9HNydnbG9OnTceTIEVy+fBnvvfce3nvvPXz33Xc6y83JyUFYWBgaNmyIlJQULF68GPPnz1c9Z+vWrZg9ezYePnyIOXPmYOjQoUhLS0N4eDj+/PNPizsfS3+PlLKzszF27Fj07Nmz3OOAit8jAFi4cCHWrl2LwYMHY8eOHWjevDnmzJmDxMREizynmvI+Xb16Fenp6aqbj4+PzmMt+bNUlfOpCe/R8OHDceDAAaxZswZXr17Fli1bEBgYWG65/fv3R1FREU6cOIENGzZg/fr1aqFlxYoVWL58Obp3744dO3YgODgYH330EbZu3WqR56Q0YcIEjBgxQuu+EydOICgoCD///DPOnz+PN954A2PHjsXOnTsrLFdvghV78cUXhX/961+qx3K5XKhXr54QHR2t8zk//fSTYG9vLxQXF1fqNcaNGyeEh4dX6tiWLVsKCxYsqFa52s7J1tZW6NWrl86yjHlOgwcPFsaMGaNz/8qVKwVPT09BJpOpts2dO1cIDAwUBOHp+TRt2lTo37+/IAj/vEf169cXpkyZYnHnU5lyLeE9GjFihPDee+8JH374odCmTZtyy6roPRIEQfDy8hIaNmyoeiyXywU7OzvhxRdf1FmuOc+pMuWa8306dOiQAEB4/PhxpcoRBMv+LFXlfCpTrjnfo/j4eMHd3V149OhRpcoRBEHYvXu3IBaLhYyMDNW2VatWCW5ubqr3zd/fX/Dy8lLtl8vlgqOjo9CsWTOd5ZrznErT57PXr18/4Y033qjS65THaltqioqKkJKSopZYxWIxevXqhaSkJJ3Pk0qlcHNzg62tYZfNUigUyM3NhZeXV5XL0HZOAGBvb4/79+/rfJ6xzik1NRUnTpzAyy+/rPOYpKQkdOvWDfb29qptvXv3xtWrV3H//n2kpKTg8ePHqnNSvkeOjo463ydznk9FLOE9WrduHW7cuIEPP/ywUseX9x49fvwYRUVFyMrKUmshEYvFaNGiBa5cuaKzXHOeU0Us4X0CgLZt28Lf3x+hoaE4fvx4ucfWhM+SPudTEXO/Rzt27ECHDh3w2Wef4ZlnnsFzzz2Hf//733jy5InO5yQlJaF169bw9fVVbevduzdycnJw8eJFFBUVIT09HZ06dVLtF4vFaNeuHW7evGmR51RVUqm0Wt93uljNgpZlPXz4EHK5XO2HCwB8fX11/iJ++PAhPvroI0yePNng9VmyZAny8vIwfPjwKpeh7ZyWLFkCuVyu84fdGOcUEBCABw8eoKSkBPPnz8fEiRN1HpuRkYHGjRurbVPW/8qVK5DL5cjOzlY7J19fX8hkMmRnZ2uUZ+7zqYi536O//voL8+bNw9GjRyv9C7C89ygjI0O10FyDBg3UjvHx8cGlS5e0lmnuc6qIud8nf39/fPPNN+jQoQNkMhlWr16N7t27Izk5Ge3bt9f6HEv+LFXlfCpi7vfoxo0bOHbsGBwcHBAXF4eHDx/izTffxKNHj7Bu3Tqtz8nIyND6nVN2X9nFl/39/VFSUoInT57A0dHRos6pKn766SecPn0a3377rcHKVLLalhp95eTkoH///mjZsiXmz5+v2t6qVSu4uLjAxcUFffv2rVLZmzdvxoIFC/DTTz+Ve425quWGh4fDzs5OY7+xzuno0aM4c+YMvvnmGyxduhRbtmypzmlUWk08H1O+R3K5HKNHj8aCBQvw3HPPGeoU9FYTz8nUn6XAwEBMmTIFwcHB6NSpE9auXYtOnTpVquO9IdTE8zH1e6RQKCASibBp0ya8+OKL6NevH7744gts2LDBKC0b2tTEczp06BDeeOMNfP/992jVqpVByizNaltq6tatCxsbG41myvv378PPz09tW25uLvr06QNXV1fExcWpfWB2796N4uJiANBI0JURGxuLiRMnYtu2bRV2sqtI6XMqXe5PP/1k0nNS/rXYunVr3L9/H/Pnz8eoUaO0Huvn56f1PQCgGtXg4eGhdsz9+/chkUjUlqK3lPOpiDnfo9zcXJw5cwapqamYPn06gKe/xARBgK2tLfbu3YtXXnlF43nlvUd+fn5wdnYG8HRUR2mZmZlwcnKyyHOqiKV8lkp78cUXcezYMZ37a8JnSZ/zqYi53yN/f38888wzav93LVq0gCAIuHv3Lpo1a6bxHD8/P7URtoD6Z6lu3boAgLt376odk56eDltbW7X6Wco56SMxMREDBgzAl19+ibFjx1arLF2sNtTY29sjODgYBw4cUA1tUygUOHDggOqXI/A0Cffu3RsSiQQ7duyAg4ODWjkNGzasch22bNmCCRMmIDY2Fv37969yOUrKc1q1ahWOHDmC2NhY9O3bF1OmTDHZOZWlUCggk8l07g8JCcG7776L4uJi1Ydy3759CAwMhK+vL4KDg5GVlYUDBw5g1qxZqvfIxsYGPXr0sLjzqYg53yM3NzdcuHBBbdvKlStx8OBBbN++XePShVJ575GnpycAwMvLCwcPHlQ9R6FQ4MqVK2rDOy3pnCpiiZ+ls2fPwt/fX+f+mvZZquh8KmLu96hz587Ytm0b8vLy4OLiAgC4du0axGKxxuUjpZCQEHzyySfIzMxUtcrv27cPbm5uaNmyJezt7eHv748TJ06onqNQKJCamqr2s2xJ51RZhw8fxquvvopPP/3UKF04VAze9bgGiY2NFSQSibB+/Xrh0qVLwuTJkwUPDw9Vz3SpVCp07NhRaN26tXD9+nUhPT1ddSspKSm37IsXLwqpqanCgAEDhO7duwupqalCamqqav+mTZsEW1tb4euvv1YrNzs7u1rlTp8+XQAgvP7660JiYqIwZswYwd3dXbh27ZrRz+mrr74SduzYIVy7dk24du2asHr1asHV1VV49913dZaZnZ0t+Pr6Cq+//rrw559/CrGxsYKTk5Pw7bffCoLw9D2yt7cXxGKx8J///EcYPny44ODgINja2goXLlywuPOpTLnmfI/KqsxohYreI0EQhAULFggAhBEjRgg7d+4U2rdvLwAQDh06ZJHnVJlyzfk+ffnll8Kvv/4q/PXXX8KFCxeEmTNnCmKxWNi/f7/OMi35s1SV86lMueZ8j3Jzc4WAgABh6NChwsWLF4XExEShWbNmwsSJE3WWWVJSIjz//PNCWFiYcPbsWWHPnj2Ct7e3EBUVpTpm+fLlAgChb9++ws6dO4XOnTsLAIQtW7ZY5DkJgiD89ddfQmpqqjBlyhThueeeU5WrHNF18OBBwcnJSYiKilKrb1VHWZXHqkONIAjCihUrhAYNGgj29vbCiy++KJw8eVK1TzkMUdvt5s2b5ZbbsGFDrc9Tevnll7XuHzdunFHLNeY5LV++XGjVqpXg5OQkuLm5Ce3atRNWrlwpyOXycss9d+6c0KVLF0EikQjPPPOMEBMTo7Z/xYoVQt26dQWRSCSIRCKhcePGwq5duyz2fCz5PSqrsgGgovdIEARhwoQJgq2trQBAcHR0FD7//HPVPks8J0t+nz799FOhSZMmgoODg+Dl5SV0795dOHjwYIXnZKmfpaqejyW/R4IgCJcvXxZ69eolODo6CgEBAcKcOXOEgoKCcsu9deuW0LdvX8HR0VGoW7eu8Pbbb2sMxZ4xY4ZgZ2cnABAkEonw3nvvqfZZ4jnpeh+U9Rk3bpzW/S+//HK55VaFSBAEAUREREQ1HEc/ERERUa3AUENERES1AkMNERER1QoMNURERFQrMNQQERFRrcBQQ0RERLUCQw0RERHVCgw1REREVCsw1BAREVGtwFBDREREtQJDDREREdUKDDVERERUK/wfm4OUoMkD6KQAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Standard charting\n",
    "\n",
    "import itertools\n",
    "\n",
    "plt.plot(timeseries_sr_trending, linewidth=1, color='black')\n",
    "for i in range(unanchored_chain.shape[0]):\n",
    "    y = timeseries_sr_trending.iloc[unanchored_chain[i]:unanchored_chain[i]+m]\n",
    "    x = y.index.values\n",
    "    plt.plot(x, y, linewidth=3)\n",
    "# color = itertools.cycle(['white', 'gainsboro'])\n",
    "# for i, x in enumerate(range(0, ohlcv_df.shape[0], 52)):\n",
    "#     plt.text(x+12, 0.9, str(2004+i), color=\"black\", fontsize=20)\n",
    "#     rect = Rectangle((x, -1), 52, 2.5, facecolor=next(color))\n",
    "#     plt.gca().add_patch(rect)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### another approach for visualization of 1D motifs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "matrix_profile = stumpy.stump(timeseries_sr, m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Extract the matrix profile values (first column) and the corresponding index (second column)\n",
    "mp = matrix_profile[:, 0]\n",
    "mpi = matrix_profile[:, 1]\n",
    "\n",
    "# Sort matrix profile to get indices of top motifs\n",
    "sorted_indices = np.argsort(mp)\n",
    "\n",
    "# Top motifs: first, second, and third\n",
    "top_1_idx = sorted_indices[0]\n",
    "top_2_idx = sorted_indices[1]\n",
    "top_3_idx = sorted_indices[2]\n",
    "\n",
    "# Get the nearest neighbor indices for the top motifs\n",
    "top_1_nn_idx = mpi[top_1_idx]\n",
    "top_2_nn_idx = mpi[top_2_idx]\n",
    "top_3_nn_idx = mpi[top_3_idx]\n",
    "\n",
    "# Plot the time series\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(timeseries_sr.values, label=\"Time Series\", alpha=0.5)\n",
    "\n",
    "# Highlight the motifs with different colors\n",
    "plt.plot(range(top_1_idx, top_1_idx + m), timeseries_sr[top_1_idx:top_1_idx + m], color='red', label=f'Top Motif 1 (Index: {top_1_idx})')\n",
    "plt.plot(range(top_1_nn_idx, top_1_nn_idx + m), timeseries_sr[top_1_nn_idx:top_1_nn_idx + m], color='red', linestyle='dashed', label=f'Top Motif 1 NN (Index: {top_1_nn_idx})')\n",
    "\n",
    "plt.plot(range(top_2_idx, top_2_idx + m), timeseries_sr[top_2_idx:top_2_idx + m], color='green', label=f'Top Motif 2 (Index: {top_2_idx})')\n",
    "plt.plot(range(top_2_nn_idx, top_2_nn_idx + m), timeseries_sr[top_2_nn_idx:top_2_nn_idx + m], color='green', linestyle='dashed', label=f'Top Motif 2 NN (Index: {top_2_nn_idx})')\n",
    "\n",
    "plt.plot(range(top_3_idx, top_3_idx + m), timeseries_sr[top_3_idx:top_3_idx + m], color='blue', label=f'Top Motif 3 (Index: {top_3_idx})')\n",
    "plt.plot(range(top_3_nn_idx, top_3_nn_idx + m), timeseries_sr[top_3_nn_idx:top_3_nn_idx + m], color='blue', linestyle='dashed', label=f'Top Motif 3 NN (Index: {top_3_nn_idx})')\n",
    "\n",
    "# Add title and labels\n",
    "plt.title('Top 3 Motifs in Time Series')\n",
    "plt.xlabel('Index')\n",
    "plt.ylabel('Value')\n",
    "\n",
    "# Display legend\n",
    "plt.legend()\n",
    "\n",
    "# Show plot\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Extract the matrix profile values (first column) and the corresponding index (second column)\n",
    "profile_values = matrix_profile[:, 0]\n",
    "motif_indices = matrix_profile[:, 1]\n",
    "\n",
    "# Find the index of the most prominent motif (the smallest value in the matrix profile)\n",
    "motif_1_index = np.argmin(profile_values)\n",
    "motif_2_index = motif_indices[motif_1_index]\n",
    "\n",
    "# Extract the actual subsequences from the OHLCV data\n",
    "motif_1 = timeseries_sr[motif_1_index:motif_1_index + m]\n",
    "motif_2 = timeseries_sr[motif_2_index:motif_2_index + m]\n",
    "\n",
    "# Plot the motifs side by side for comparison\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(motif_1, label=f'Motif 1 (index {motif_1_index})', color='blue')\n",
    "plt.plot(motif_2, label=f'Motif 2 (index {motif_2_index})', color='red', linestyle='--')\n",
    "plt.title('Most Prominent Motifs')\n",
    "plt.xlabel('Time')\n",
    "plt.ylabel('OHLCV Value')\n",
    "plt.legend()\n",
    "plt.grid(True)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Multivariate"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = [\"open\",\"close\",\"vwap\", \"trades\", \"volume\"]\n",
    "mp_m, indices = stumpy.mstump(t1data.get(labels), m)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "plotlyServerURL": "https://plot.ly"
       },
       "data": [
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         "mode": "lines",
         "name": "open Matrix Profile",
         "type": "scatter",
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        },
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   ],
   "source": [
    "import plotly.graph_objects as go\n",
    "\n",
    "# Create a figure\n",
    "fig = go.Figure()\n",
    "\n",
    "# Add traces for each time series component in OHLCV\n",
    "for i, label in enumerate(labels):\n",
    "    fig.add_trace(go.Scatter(\n",
    "        y=mp_m[i],\n",
    "        mode='lines',\n",
    "        name=f'{label} Matrix Profile'\n",
    "    ))\n",
    "\n",
    "# Update layout\n",
    "fig.update_layout(\n",
    "    title=\"Multivariate Matrix Profile for OHLCV Data\",\n",
    "    xaxis_title=\"Time Index\",\n",
    "    yaxis_title=\"Matrix Profile\",\n",
    "    hovermode=\"x unified\"\n",
    ")\n",
    "\n",
    "# Show the figure\n",
    "fig.show()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Univariate and simple backtesting (returns)\n",
    "\n",
    "- Load a sample time series dataset.\n",
    "- Discover motifs using STUMPY's stump and motifs functions.\n",
    "- Create a DataFrame containing motif indices and their associated returns over a 10-bar horizon.\n",
    "- Identify the most profitable motif category."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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H3/3ud0mlUnz1q1897mtEIhGam5t5xzvewbnnnksgEOChhx7i2Wef5Z/+6Z/mfexCCCGEEGL2JEQXQgghhBCnLF3X+cUvfsHnP/95fvKTn/D973+fFStWcPvtt/OpT32qZNt//ud/5s///M/53Oc+RyKR4KabblqQEH1kZIS/+7u/KxnLh5ttbW0zBspVVVX86le/4lOf+hSf+9znqKio4P3vfz9XXXVVoYJ6rnw+Hw8//DAf//jH+cY3voHP5+N973sf1113Hddee+289vn5z3+ew4cP89WvfpVIJMLll1/O6173Om6++WZ+8Ytf8MADD5BKpWhra+MLX/gCn/70p+f1OuXl5XziE58oCaHz3vve99LY2Mg//uM/cvvtt5NKpWhqauLSSy/lQx/60Iz7/dGPfkR9fT3//u//zs9//nNe//rX85Of/IS1a9fi8XjmdawAl19+ORdeeCG33XYbR44cYf369fzgBz/gnHPOKWyzYcMG/vCHP/C3f/u3fPnLX8ayLLZu3cq//du/zerfn8/n46Mf/SgPPPAAP/vZz7Asi/b2dr71rW/xl3/5l/M+diGEEEIIMXuaWqpZiIQQQgghhBBiiezcuZPNmzfzb//2b7zvfe9b6sMRQgghhBDLmPREF0IIIYQQQpzWEonEpLE77rgDXddLJnQVQgghhBBiKtLORQghhBBCCHFa++pXv8rzzz/PlVdeicPh4De/+Q2/+c1v+PM//3NaWlqW+vCEEEIIIcQyJ+1chBBCCCGEEKe1Bx98kNtuu41XXnmFaDRKa2srH/jAB/jsZz+LwyF1RUIIIYQQYmYSogshhBBCCCGEEEIIIYQQ05Ce6EIIIYQQQgghhBBCCCHENCREF0IIIYQQQgghhBBCCCGmIQ0AF4BlWfT09BAMBtE0bakPRwghhBBCCCGEEEIIIcRxKKWIRCI0Njai69PXm0uIvgB6enpoaWlZ6sMQQgghhBBCCCGEEEIIMUddXV00NzdP+7iE6AsgGAwC9jc7FAot8dEIIYQQQgghhBBCCCGEOJ5wOExLS0sh352OhOgLIN/CJRQKSYguhBBCCCGEEEIIIYQQp5DjteiWiUWFEEIIIYQQQgghhBBCiGlIiC6EEEIIIYQQQgghhBBCTENCdCGEEEIIIYQQQgghhBBiGhKiCyGEEEIIIYQQQgghhBDTkBBdCCGEEEIIIYQQQgghhJiGhOhCCCGEEEIIIYQQQgghxDQkRBdCCCGEEEIIIYQQQgghpiEhuhBCCCGEEEIIIYQQQggxDQnRhRBCCCGEEEIIIYQQQohpSIguhBBCCCGEEEIIIYQQQkxDQnQhhBBCCCGEEEIIIYQQYhoSogshhBBCCCGEEEIIIYQQ05AQXQghhBBCCCGEEEIIIYSYhoToQgghhBBCCCGEEEIIIcQ0JEQXQgghhBBCCCGEEEIIIabhWOoDEEIIIYQQQgghxDyYWTj6DOz/nX2/7SJo2Qou/9IelxBCCHGakRBdCCGEEEIIIYQ4lSTHoPNh2PcgJIbHx3tfgmf/LzRtgRWXQeMmMJxLdphCCCHE6UJCdCGEEEIIIYQQ4lQwfBD2/hYOPQ5W1h5zh2DN1WC44ODvIdwNXc/YN5cfWi+EFZdCzVrQtKU9fiGEEOIUJSG6EEIIIYQQQgixXFkmHH0O9v4G+nePj1eugrXX2SF5vtp8/Vtg5JAdsh/+IyRGoPMh++avtsP0FZdAWfOSfClCCCHEqUpTSqmlPohTXTgcpqysjLGxMUKh0FIfjhBCCCGEEKeVwcQgffE+Qs4QZZ4ygs4gmlTUitNdKgL7H4G990N80B7TdLvn+drroXrNzJXllgX9u+DgH6Dracgmxx+rWGmH6W0Xga/y5H4dQgghxDI221xXQvQFICG6EEIIIYQQC2sgPsD2/u3s6N/B0cjRksd0TSfkClHmLqPcXU6Zu4yQO0S5u9y+7yqjzF2G1+GVsF2ceka77JYtBx8DM2OPuQJ2y5b2q8FfNfd9ZtPQ/Twc+gP07ARl5h7QoH6jXaHecj44vQv1VQghhBCnBAnRF5GE6EIIIYQQQpy46YJzTdOo89URz8SJpCMoZvcRxqk7KXOXlYTt+YC9eMxluE7WlyTE7FgW9OyAPb+GvpfHx8vb7JYtbReDY4H+nSbDcOQpOPR7GNw3Pm44ofm1doV6/blgSPdXIYQQpz8J0ReRhOhCCCGEEELMT3+8n+3929nZv3NScN5R0cGW2i2cW3MuAVcAgKyVJZKOMJYaYyw9Zi9TY4ymRhlNjTKWGiOcChPPxmd9DF6H97hhe9AVxKFLqCgWWDoGBx61K8+j/blBDVpeCx3XQe26kzsZaKTX7p9+6HGIHBsfdwftVi8rLoWqdpmQVAghxGlLQvRFJCG6EEIIIYQQs5cPznf07aA72l0Yzwfn59Wexzk15xSC8/nImJlCqD6WtkP2cCpcGMsvM1ZmVvvT0Ai4AqVhu2t8Pd9OJuAMSAsZcXzhHtjzG7tlSzZljzl90H4VrNkGgZrFPR6lYPiA3e7l0B8hFR5/LFA3PiFpqGFxj0sIIYQ4ySREX0QSogshhBBCCDGzvlgfOwZ2TBmcr61Yy5baLSccnM+VUopENkE4PTlcD6fDjCbt6vZwOoylrFnt09AMQu4QZa4yyj2lVe2F/u2ukPRrPxMpBcd2wp7f2su8sma76nzFJeD0LNXRjbNM6H3Rrk7vegbM9PhjVe3jE5J6ypbuGIUQQogFIiH6IpIQXQghhDgFKWUHBcocXyort65Kx63cY4XHrSmeZ03Ydqpxc8I+rKJxZV8+7wnZwYS7LLcMLo9QRYh56Iv1saN/B9v7t9MT7SmMa5rGWZVnsbl2M+fWnIvf6V/Cozw+pRTRTHS8sr2ohUy+pcxoapRoOjrrfboMVyFgL7SQcZeul7nKcBrOk/iViUWRScCBx+yWLYWWKRo0bbH7nddtXL7tUjJJOPqsHagfewHy8xFoOjSca1eoN78GHO4lPUwhhBBiviREX0QSogshhBBTUArMDKSjkIlDOg6ZmN3/NR3PjSfAyhaF0lMEznMJoksC7OlC8tzjpxLDlQvXy8GdC9kLYXtoPGzP35fJ4MQSmi441zWdtZVrT5ngfD7y/dpLwvb0GKPJ0ZL+7YlsYtb79Dl9kyrZq7xVtIXaqPfVY+jGSfyKxAmJ9MLe++HAI/bfOwCnF1ZdCR3bIFi/tMc3V4kROPykHagP7x8fd7ih+XxYeal9QkD+TQohhDiFSIi+iCREF0IIcdoys1ME3/EJ67nHp1q3skv9Fcydpts33citG0X3DdAnjuml45OeVzxuTN5/fhwFqSgkxyAVsZfJ0fl9D13+KcL2svH77tD4uCuwfCsgxSmjN9bLjv4d7OjfMSk4P6vyLDbVbjptg/P5SJmpkv7sxX3biyvdj9ev3WW4aA42syK0grZQG22hNqo8VdImZikpBb0v2VXn3dspVG4HG+yq85WX2UH6qS7cY4fpB38PsYHxcU+53epl5aVQsVL+vgghhFj2JERfRBKiCyGEWLYsszTcLg64C+PRXJX4xBA8aleSnzDNDnVdPnDmli6/ve70guEsCpm1yUG0PjF4nirUniHsLn5+8f0pQ3J9eX3gVwqyyVygHrYnekuO2uvJsdz9/HhuG+b41k7TS0P1KcP30Pi4w728vkdiyeSD8+192zkWO1YYl+B8YeT7tecD9pHkCDt7enji4BGGEv1orkHcTguf24HfZeA0dAD8Tv94qF7WRluwbVH7zJ+xMkk7VN7zawiP9/ynYROsvdZeno6/O5WCwX1w6Pd2lXpxS6NQ4/iEpIHapTtGIYQQYgYSoi8iCdEFQDydJZLM2m10UVjK/vCjFJPHGH/Myj1mr5duXxgjN5Zbt6wpxvLPza2jJo/Z/7fnj6N432r8GC0mj034GlClX0t+naLXCXqcrKjy0VbtpyHkQddPww8NQiwGpWYRgs8QjmdTC3McTl9pCO7054Lx3C3/uCuQWy8ad3pPz+BgOVLKrmIvDtULYfvY5PFMfO6vYTgnV7YXwveisF1ay5yWjhecb67dzDk150hwvoCSGZNfvXiMHz15iBePjhU9otAcY+iuQXTXIP7ACD7fGD63hs/lwO828LscuJ061d7qQqX6itAKWoItuAzXkn1Np5XoAOy7H/b/zv7bC/bJxlVXQMe1dpB8pjCzdt/0Q3+A7udKT8TXrLUD9dYL7PZjQgghxDIhIfoikhD9zKGUYjCaprM/yv6BaGG5vz9Kz1hyqQ9v2XI5dForfbRV+mir8rOiOres8tFU7sWRq5wS4oyQisLQPjvEnNQCJd8ypWg9k2DOlcVTcbiLAu65huA+u6pbnH7MTFHrmAkhe77KPTkGqdzj87kywembpof7FL3d3UE54bIM9cZ62d63ne392+mN9RbG88H5lrotnFN9Dj6nbwmP8vTTPZrgx08d5j+e7WI4lp7ls0w013AhWNddgzhdYXwuA7/bYYfrLoOAx8mqihZWla2wq9bLpL/6nCgF/bth72+g61kKf6cDtXZwvuoK+2/omSwdh6PPwME/QN8uCt8j3WFX5a+8FBq3gENO5gghhFhaEqIvIgnRTz+mpegajheC8uLQPJw8Bfv7LmMOXaO5wlsI1Vtzy7YqPy2VXtwO+TAnTnHJMfuDdv9u6H8FRruYVyhuOKcJwX2l49OF4MukGlgphUomMSMRrGgUK57AtWIFRuAMDxtOBUrZVzaUhO1jpT3cJ4bwyprba2i6HaR7K6FxM7RdCOWtJ+frETOaLjg3NMOuOK/bLMH5SaCU4skDQ/zoicM88EqvfQXgidLSRaH6ALprCM2Io2kaHqeB323gcxmEPF5WlbVyTt0azqpeJf3Vp5JNw+HHYc9vYfTw+Hj92dBxnf17S046TxYfhsN/tNvdjBwaH3d6oeUCu91L3QY5iSqEEGJJSIi+iM7oEH3Pb8HpgbIWKGu2Kx1PIYm0aVeS56rJ9w/E6OyPcnAwRtqc4wd/seA0DRrLvCWV6/bST2ulD69LAvZThcpmsaJRcDjRfV600/kDZmwIBopC87A9wZ5CkcpYxNMmEVcNgcp6qioqJ1SCz7BuOJf4C5uelU5jRSKY4bAdjEcimOEIVixqLyMRzGgEKxLFjIQha5buQNdxr+3At2UL3k2bMIJymfdpQSm7pdCktjLh8cr24vF8G4SJQk32JHWtF0JZ0+J+DWeYY9FjbO/fzo7+HZOD86pcqxYJzk+KWCrLz3d086MnD7G3Lzrjtk3lXq5eX8exsQSd/VEOD8XJzjVtN2Il1eq6axBNG7/SxOXQ8bkclLkDtATbWFe9ii2NHZzXsIbgmdiKIzYEnQ9C50P2SUOw/y6vvNyuPC9vWfRDypgWw7E0A5GUfYumqPS5uKi9Cp9reZw4n9LoETtMP/RHiA+Oj/uqoO1iO1CvaFu64xOnpaHEEAfHDpJVWRyaA4c+fjM0Y/x+7jFDN0rva8YpdaWOymbtgpVwGDMcwQyPla7H4zjr6nG3r8a1ejWOioqlPuSlkRiB8DGo7lg2BUdiaUiIvojO2BBdKbj7g/aEZwBo9iWMZS32G8l8sB5qWvJfSEPRVCEgL64u7x5NLOlxFdM10DTNXqKBRmE9/5hmD49vl1uC/djE7SE3r95M+8g9V9M0tAnbkx/Tpto+t50+eR8Ag9EUhwZjxNLmFF/twqgLuSeF621VPtqqfAQ9yzdwPF2odBqzKDg1w+HCmzMrknuTFgljhSNYsdJwTPN60H0+dJ8/tyy6+X2TxrTCtsssgFcKov12WJ4LzTPhPuJpk3g6SzxtEktbHMpW8lyigV2ZRvapZsLYVdeXd9TwqWs6OKe5fGm/jglUJoNZHIZH7fDbisbsn21kPBC3IlFUerZtBsZpbjd6MIBmOMj29RU9oOHu6MC3ZbMdqJeVLeBXJpY1MzteyT7WBUeesnvrWkVXgJW32mF620UQrF+6Yz2NHIse4/n+59nZv1OC8yVwcDDGnU8e5u7nu4gc52rHi9uruOnCFVy1rg6jaK6ZjGlxeCheKAzpzBWG7O+PEk3N9grK0v7qumsQzTWMRmlRiaFrBJ0V1HlbWF2+go217Zzfsob2mvLT7+pBpWBwL+z5DXQ9PX5lja8aOrbB6isXvLe3UorReIaBaGo8HM8F5BPvj8TTTPVJ3ucy2Lahnhs2N3Hx6qrl2zYx3xLn0ONw5MnSOTrKW+0wve0S8Fct3TGKU9ZQYoh9o/vYN2LfhpPDJ7xPDW08eNeNkjA+H8RPN14cyE8X0k8V7BuagVN3YugGBjpGPIURTaBF4+jRBESiEImhIlH7M1ckjDkWnvTZKy9rKUbjaWKpLA5DJ+C2589w11TjXt2Ou3017tWrcTQ2npSrkJRSWMrCwhpfV1Zu7jUrNy/c5HEr9/vXVKa9rsAit82EfSoUpjJzc7yp0tdKx1Ajh7CG96NGDmLFBjHQ2HT2+3Gf++4F/3rFqUNC9EV0xobo2TTs/LH9QXf0yHhVxkSaYX/QLQTruZA9UL+glztalqJ7NDGp/cr+gSgj8Xn0cJ2B26GzqibA6ho/7bUBVtcEaK8NUB/yoGtFAfh0wbNWGoSfrpRSDMXSHB6KcWgwbi+HxpdjiYX9uRSrDrhoy4fqlaV92Mt9i9B70cxCfAhiA3aLjVDzKdHz0UqlMMfGSqqKpwvHVWKO8wBoGlN+2psj3edF83qPH8D7/ehe78IG8EpBuJtkzy7GDr1ApncXmchQSWieNhWHVR17VAv7rGb2qSZieGfc7dXr6/jk1R2sazg5f0OUaeaC8ChWJPdzjeQqxHNj9tKuGJ/zzxbQnA70QBAjFEQPBNGDAYxgsGTMCAbQg0H75hr//yHT309i+w4SO3aQPlx0ebym4W5vx7t5M97Nm87cKpkzWToGR5+Fw09C70ugik7MVqy02720XgSBmqU7xlOMUopjMbvifLrgfEvtFs6uPluC85PEshSP7R3gh08e4tE9AzNu63MZvH1LMzde2MaaurkFtkop+iOpkjl8Ogei7O+P0Rueze/5yf3VdcfYpK0UGmQrKHc00hxsZW3lKs6ub2NNbRnttQHKvKdYYYOZsUPdPb+F4f3j47Xr7JYtza+BOVakxlLZqcPwSIrB6Pj4YDRFxly4j+fVATdvOreBt25u4uymsuX7ucPMQM+O3ISk24tOnmpQt94O1Fu2zthnXpkmZjiMOTqKNTaG5vXhbGqSdnFniOOF5pqm0Rpsxe/0k7Wy9k1lC+umMsfHi+6fdErhTJq4E1nc8QzueHZ8vXgsnsWVzM7YETJfKKdpOjoa6DoZn4uIy8mwptOHTp/SiThdpBwOaiNxWkej1IfjOHQNl6HhNHScDg3N5yTZXEG0uZxIY4hwXQDTsH9/5EPtkvA7F1bn10vGiwLuRWeZ9nvJVNielyoz9cmFTd56/uydP1/kgxPLiYToi+iMDdEnSo7ZvX7HumDsqB2sjx0trSooZjjtKvV8xXp5C5S1gr96xn54yYzJwcHYhKA8xoGBKKnswrZgKfc5ac8F5MVheWO5t6QCSMzPaDzN4aE4h4ZiJcvDQzEGo3OvbJ2tMq+zqHp9fLLT1ko/1QHX7D9gpGMQ6bUrkaN9dmAe7cutD5b2AtZ0CDVCeZt9iWp+6T25oaBSCpVI2BXjM4Tj+YrxOVcUOwyMYMgOSScsjVAIPRTCCATQQyH0QABMEyuRwIrHsWJxexmPYcXjqHj+fhwrFsOKJ8bvx+OoVOqEvx9TBvB+/5QhvOn20JfS6B3sItq3DzX4Kv6xfZAKk8yMB3kmBgdVPXutZvaoFjpVEynmd8LkDWc3cMvVa2ivnTkoUZZlf4+iuXYp0UghFJ88Fp22GmVGhmH/7IK5QDwQRA8Fx4PxfCAeCGCEQmhu94J8OM8ODRHfvp3E9h2kDx4secy1epXd8mXLFgnUz0SpSC5Qf8KepK74d2xVu12h3nqhVC1OQSlFT6yHHf072NG3g774+NUfEpwvnrFEhruf6+LOpw5zeGia98c5K6v93HhhG28/r5nQSbi6LpLMcKDoKs38e+rjtoYp6a+eq1g3Jn8tSjmw0lWodDVBo4GVZStYW9NAe23Qfk9dG6Ah5EFfTu+nEyOw7yG7bUsyd7JAd8CKS+3K88qVJZuns5YdgBeH4ROD8tx6/CRemTlbq2r83LCpiRs2NdFatYz/P09Foespu0K9f7f9XjZjYSY1zOAazEAHpqPafv86Ooo5OmYvw+EpizWMsjKcTU3jt+YmnHV1aM5T7OSOKDGb0Lwt2MaaijWsqVjD6vLVuI25tZ5Vyq5onhiwl4TuuSDetMzCeMZMYyYSWOExzHAEwnahiopG0cIxiMbRo3G0SAw9lkRZFuQrpnOV2Pkg2g6nFSpfpQ2kPDoJr0HK6yDlc5LyOQrrSa/BiKFxTCmOmSZjiQzmcdp9ubIWjSMpWoZTNI+kaBpJ4cydzDN0DYeuoTl0Rmt9hBsDxJoDjDYEyHhOTrcBTdPQ0dE1PVd4qKOj5woVdQzNPompa7lt0MbXFWipMfT4MHp8GC05iq6UfXU9oKOhuYPo/hq0QB2at4JXXv05CsWfXf4lNrVdeVK+JrH8SYi+iCREn4FS9kQyY7lAfTQXsI8dsSsOpuJwQ1kLcV8DPaqa/elKXo4F2TVs0DkQo2skvhDFrCWaK7yFgHx86acqcGr1eD+dRJKZXKBuh+tHikL22VVPzY/fZRRC9RWVHjqCKVZ54jQ7I5Rbw+ix/vHQfLr+vXm6A/w1dvCTnqa/qTtUGqqXtx23BZJSyg5Qw+GiXnfh8d7TuUDcDssjqMzcqig0p9MOS0NlE8LxXDAeDGKUlWEEg2he76JVNalsdtoA3g7di4P42QXwCkhlTeIpk3jaJJHOYKbiaOkoTjOGnwR67lJ25dBQDg3TYTBkhOgzKuk2qjlq1BB1eEk43CQdbhKGK7eeWxqukhODHqeO09BLL9tXCo+Zxp9JEsgmuG5FkHeuq6BaS9sheHRCxXg0Oveqfk2zA+9gAD0YQg/4MYKhyRXjwSBGIIDm8y15xVp2eJjEjh3Et28nvf9AyWOulSvxbtmMb8sWHFUSmp5xkmPQ9SwceQL6XqGkNKu6w2730rIVfJVLdohLrTg43963nf54f+ExQzNYV7WOLbVb2Fi9UYLzk2xPb4QfPnmIn2/vJpGZPkzVNHjd2lpu3NrCxW1laNkMKp0u3Kx0GpXOFE546wG/fbLT70f3+9EcJx5oFLeGGQ/Yj9Ma5jj91fOU5cFKVxduHlXHquoq+713jR2st9cGaKvyLW5rmKH9dsuWI0+izAwZU5FwhOipvZR9wQs4lnROGY6PLvCVrvNl6BrVARflXhf7+iOzmoz2vLYKbtjcxBvPbqDCv3RXSqpMBnNszL6Njk64jWEO9mL2HECF+4taiGK/x/ZW2L/jXYGicd1+jxoKYcaimINDU7+wYeCsqy0N15uaMCoqlvy9j5javEJzdHsi24E9MLgHhg/Y/24qV9sn36tWQ7Bh1hPaFq7YLe4tHolgjoVzPcdzn78i4Tl//tL9/tLPX6HQhHX7pgcCaIb9+9FSFqZlcnAwzOP7+3nqYD/PHhpkNJEEzQTNslty5dbRzNL7aKA0cjXsubdSOpqlqItGaA2P0Do2TEt4mEB6/LOUhobXaZCtrkKtaCWwdhV1Z6+lcVUTLoejEGrbrV6LAu6icBzA0I3xcLwoNJ8Ty4LRQ9D7sl1gMbAbshM+9/mqoG4j1G+0lxPeG/7yFx/i/tFXCVV18Llrvi3vic5QEqIvIgnR5yHXR9gaOcLIsf2MHjtAcvCw3SYhZffomjixZxwP3aqablXNUVVNT279eG0S8lyGzspqfyEgz79RX1UdkAkqTzGJtMmR4XyoXtQiZjBOz1hiTtmilyQ12hg1jNpLbdS+MUa1Fi7pBWro9hsGr8vAl1u6ApV4KhoJVDWiB+vseQEC9fbSWzHewiQ+bP+BHzkMo4ftZaSXfPCjLIWVMjGTFlYaTKMSUy/HIoBpebBMF2Y8VQjOseZ21YXm9UxbMT4xHNfdp9/Jo5FwnIPdQ3QdHaLn2BD9fSMMDIwSGRqmLt1LW7afRmuA2uwoTjOLllVoWYWeUViWRgwPMeUlioeEctuXrs9A0+x/Kz6XgdftwBP04y8LEKwIESgPYbk9vNDZy+7OYzgSMXzZFIZlTtpHQ5mHFdV+vM6pf0fpfn+uEnxCC5VgcEIrFTtkWVb95OcoOzJCYsdOEjt2kOrsLDmJ4Gprs1u+bNmMs7Z2CY9SLInECBx52g7UB/YUPaBB7Vl2u5fWreA5/fvr54Pz7X325KASnC8cpRSY5pSBtsrkl+nC/WwyxYsHB3j8lR4O947htLLjNzOLQ5k4Tfu+X7Nor/SwqsyJV7MmT748S5rXkwvVA4W/DyVBeyFwD2AEcsH7LKtxJ7aGGW8RM1VrmNn1VwewzAAqVTMermeq0HHQWukrFLeszhe51AQo8829elgpRTTfTiUXgA+OxXAde47Gvkcpjx8ilTVJZy12Zxt4MLuF7WoNJkv7+aDC56Qm6LZvAXtZnVsWj1f4XIWK/v5Ikl+9cIz7dnbzwtHJrXcmcugaV6yt4YbNTbx+XR2ead5vzJVSyr4ybmIonl/PheZWdOZJdIvpDoWhRTHMAQxnFsNr2LfKKoyOizDWXYHefFbJex0rkSBz7BiZ7u6SmxWfel4s3efF2dhYGq43NqJ7Z/d5UyyceYXm6QQM7rMD84FcaH6clixK82D6WjBd9Vh6FaZehplShd7i+VDcHAvP+Ypd3efNfd4KTRGQh8av2g0G53QSdDCa4on9QzzROcjjnYMcHZnbPG9OQ2NjUxmRZJaDg7HjVqqjFBWpCK2RvsKtJj46abO420+8oQXHqlWUreugdX07HY3lNJV7F+6qI6Ug3AN9L+duuyYXtrmDULcB6s62g/NA3YwnSjIv/4x/3HEHfS4vF5z9Ad6//v0Lc6zilCIh+iI6k0P0rz77VQAqPZVUearspbeKCk8FVZ4qPA4PYFd6HhosrWrp7I9yYCBWUpFjYFLLKE3aAI3aEM3aIE3aILXaCNo0DcDG8NNdFKqPuerx1bTSWlddUl3eUumTFixngFTW5OhIohCqHxkMMzjQS2KoGzPSR5WyQ/JqbYwabQw/M7/pyOJgUIUYUOX0U86gKmNAlTOgyhikrNC2w2lotFT6CpObrqjy0xpy0ObRqCKFMxFD5SZptCvFw5ijI1iDxzBH+rHGRuzWR+lEac/fYoYLnF5w+sDpRS+rQq+smaJivDQcN4JBNNfy78d+ouLpLIcG4xwcjHFwMMqBwRgHB2McGowV5kVwkWG11kOH1kWHfpRV2jGclL65juNhr9XMPtXMHtXMUbMadzaL10zhyabxZlN4sim8ZpoGl0WTGxpcihqHRZWRpYwsPjMNicRx32xnLUXXcJwjw3GypkXS4SLu8BBzeog5vcScHpIuL1vWt/DGizqoqau0f74BOwxZiKrDU5E5NkZi507i23eQ2ru3JFB3trTYk5Ju2YKzrm4Jj1Isifiw3cv48BMw1Fn0gGZ/oGq70K5QX+DJAJfS8YLz9VXr2Vy7+bQNzpVSkMmgMpnxYDtTvExPUc09Ybt0ujQMT6ex0qmisVz19yxOYKdNi57RBEdHEqRmqDoHCHgcNFf4qA95pn6PqmloLhea02kvXc7CfRSFtl5WPD7vOUc0t7soaD9O+B4IYPj9k95TTGwNk1+WtoaZfX91lakoqVhXmXLsC/HtHt8T5yQKeBwMTqgUn9haJZmxf3ZB4lymv8jrjB2UEc0dmcEz1loetrZwSDXM6/s4W36XMTkMnxiMB91U+d24HCd24nv/QJT7dnTz853ddA0fP2QLuB1cu7Get25u4oJVVdN+brJSqSlC8aL7Y3ZIPuuTQQ4Do7zcriAvLy/cHOXl6EVjhblULAv6d8HBP9gTvhZXqFeshJWX2q29prkSSSmFOTpK5mg+VD9KpruHTF8fmFMfs1FVibOpCVdTE87mZpyNjThqawsVweLEzTk0D63EHe0vDc2j463KlFJYKQsz4ybraCCrVWCaPszhQayBbsyRfszREdRUrZYMp91/3+nLLf2FeRA0t3vmUDwYwihb2M9fsVSWZw4O83jnIH/sHOTV3mnmopvB+oYQF7dXcXF7NeevrMTnsj9DpLImBwZi7O2LsLcvwp7eKHv7Ise9+t+XSdKSC9RbIv00xQYnFQSlDSdHAzX0VjSgr1xFxdp2VjdX0VEXZG19kNrgLFtBxgbteXH6dtnBeWKk9HGHB2rXj1eal7fO+uoCAMaOcuBXH+NrVj+q/lw+dt5fc1blWbN/vjgtSIi+iM7UEN20TG559JbCTMlgXwIaT5vEUlli6SyptJNY3EM45sHK+rGyAVQ2gDL9qGwAlAuOU9EJ4CRLnTZsh+rYwXq7e4QWVxSfy55R2l46cDnsy4bwVRdNZprruX6KTO4o5igdy7VY6R/vSR7ts+/HBguhtKUUyYxJIm2SyOTbd5j0Zz0cTgbotcoYUGUMUF4IykcJgAKPmcaXSeLNpvBn7aU3m8KXSeHNJvFlU/YtM/6Ys7jyQQOHrhf6yhm6hsPQSscMHc3nx+F34fZYeF0ZvI4EXj2C24jj9Dpw+AycXgeGx0DTNTtYL28tbQdT3mpPZnoaypgWR0cSdkg+EMsF5vbt2NjkNj8eUrRr3azVjtKhd7FC68Og9A1eBB97rRb2qGb2qhaOqmqKfy9V+JysrPazsjrAqhp/bt3Piir/ca9iUdlsSVuZfBsalUyguT2FKvKo4eEHL/Tzf586Smyavqkuh877t7bxl1espiZ4+l0tMF9mJJIL1LeT2rO3JORyNjUVWr44G05uMCKWoeiA3Vf38JOlkwNqBtSfDa0XQPNrwR2Yfh/LlFKK7mi33eN8QnDu0B2sq1zHljq74tzrWP4VlEopVCpVmLOjdNLjXKuyqD2/w3gAPh54L3ifv+PRNHseCKezEGwPpeGlvjivDiVJYpDRDbK6g4zhIKMbZHQHGd2B6XCyaVUNV5/bzPq2anSXKxeQu9CcuaDc6UJ3OcHpnFXAoCzLbmMWs9t9Wbnvlf09i9vzZcRz82jEYljRmD1Xxhyvait8+S7XFGF7PmjP3Q8EsDxeujMGB2KKzpEU+wdjpa1h5tFfvRCsmwFm8xkir0Xr4/X6drbqr+LInTwP4+dRcxOPWucQZv6/B5yGNh6KT1EpXh1wURV0Uulz4nXrmJZpt2FQZskEffn7M43nezTn2zhMfNyhO/A5fHgdXnvp9OIxPOzuSfKLnb386sWeQmHBRLqy8GcSBNNxVjgzXNXo4YIaB/WkcyG5PWHndFXcU+4zGMyF4EUBeVl5UVheZl8RMd8WKtk0dD9vT0jas7OoEEWDylW598at4++PZ/h9r7JZMr19ZI4eJdPTU6haN0dHp9xeczpw1Dfgam7C0diIKxeu66GQtISZhTmH5r4G3KNdMLgXBvagBvZiRqKYsSzZWNZexk3MrI+s6cVM6ijdYwes01EKsgk0K4XuyGAYSQzi6F4dw2NgeAz0/LK6AaN5LXrdWrsVTMWKk5YrpLMWO7tG+WMuNN/ZNTrzXBVTaK30cXF7NRe3V3Hhqqo5t6mNp7N09kfZ0xthX265ty8y5ectAIeVpTE6WFSt3o9nQlsVS9Pp9VdyJFhHV7COkZommlrrCqH6mlp7WWkkcoH5Ljs8Lzo5AtjtnGrW5lq0nG3/vz7HyZ5LKAW/+Dh3R/byWEUtleWr+OwFn51zD31xajujQ/R/+Zd/4fbbb6e3t5dzzz2Xb3zjG5x//vnTbn/33Xfzd3/3dxw6dIg1a9bwla98heuvv37Wr3cmhuixVJbnDw+zvWc/ewePcWi0j2ORIWLZETRHFM2IoenHnwRQKRcq60eZ4+G6lQ0WxpyahxVVE3uV20GW3+2ATHK8x3qh53rX5LOTBZrdZiM/iWl5LmAPNs7Yg1osMcuC+FBpOF68nK7feF6+N3mwHuWtxtLLsPQgpvJiKTdWMks2GmVkcITh/hFGh8aIjYRJjIbJ5CZltOb5QdPUDeION1Gnl6jTS6xk6Sm5H3e6UdrUVUceUjRrA7RoA6w0BljpGKJFH8Crm4UgPh/GOwyNlLuaZKCZbLAVs6wVrXIF7rJ6Ah4nAY+DgNu+LcerMyxL0RdJcnAgVqgmz9+6hmee8MxPgjVaN2v1Ljq0o7RqfZOuYhlRQfaoFvapZl61WuijAq/TYYfjNX5W5QLylTV+Vlb5F7VX6HAszXd/v58fPnGoUDU3kddpcONFbXzkstVL2sd0OTKjURIvvEBi+w6Sr75aUlHmaKi3JyXdvAVnU6N8wD3TRHrhyFN2lfrIofFx3QH159gV6k2vWdYnIJVSHI0eZWf/Trb3b2cgPlB4bDkG5yqdtkPccH4uh/EJkAuTHkcjhYmQ59o/dkoOw57XoySULq7kdpVUdI9vN+HxojA7v31x2I1hoGkaqazJb17q5QdPHGJn1+iMh1YdcPGe81t579ZWGsqWwc9HKVQ8XhSq2+F7/mRFPmi3A/loIZCfrlL3eDSns6iq3Ufc4WFQOejNGnSnNA4nNPbHFF2ZJElfjKQ/TNY7gu4eOm5/dZUNgKYAC1C5PsAKTTNZofWwUT9IvTaEpYGFYoAyXlGtHKYmP+tJ4flafj+ahdel43fpeN06PqeGx6Xhdel4nBpuh4bbqeFygKGDYurAO6uyLPnHbaVwpC1CSY1gQiMzmCHSmyAxkMAfNwkkTYLJLIFUFg0Npezp91D2zedyUh/yUV/mKbSX09zuolC8rCQUL6yHQot7xVwybP+eP/QHO2idiq/aDtOL5yMK1MMM7e7MaIxMT7dduZ4P13t6pp1vRw8G7ZYwzXYrGFeTHbLrZ8BVoTOZU2he3s4q/BiHX8I8+BLZrn2Y/T2YsQzZWJZsPIsZN+1+3q6AXS2eXxaHqZpmV4hXVeGoqrRb/5SVYZTNMMdTJgkjB+25EoY67ZPw0X4m0Qw7S8j3Vq9cbecK8whzLUvxam/EDs33D/LMweE5T0Zc5XdxUXs1l7RXcdHqaloqT877mbFEhs7+8Yr1/G0wOuHqW6WoTYzYgXrYDtXLU5Mr6Ic9IY4Fq1AhjWBZgjZfH6tcwwTcDvwuBwGPA7/bibehA3fTuXZwXt2x8Ccwnvt/pPb8hi/6dYaDNVzecjnv7Hjnwr6GWNbO2BD9Jz/5CTfeeCPf+c532Lp1K3fccQd33303e/bsoXaKPqlPPPEEl112GV/+8pd54xvfyF133cVXvvIVtm/fzsaNG2f1mmdiiP5y9xhv/MbjM2+kpccDdUcUzYiiO2JoRtS+r4+fxXToGj63o1BV7s8tQx4v1d6qQruYCk8FVbn7lZ5KQq5pzvSnorlwvQtGj+SWXdOGrUrpWJ5alLcey12NcldjOStRmg8rlcJKJlDJ3DKRxEolS+8nk6hkElD2By632/6g5bY/bOluN5prfEx35bdx5x7PfTAr3s7ltJ+X39cS9zI2LZN4Nk40HSWaiRLLxIikI8QyMaKZaMl4NBPFoTuocFdQ5i6j0lNJmbuMCncF5Z5yKtwV+J0Tqk7S8QkBedF6UTV5nlIKlVVYaQsrZWIpL5YewtT89rryYGUN+5a2MGP2hz/75zQ3CrsiII5BxHAxipNBy0l/VqcnrTOCk4TDTdzpIe7wEHe4iTvdJBwe0rpjbpeTzYGGRS2jtGj9tOQC9hatnwpt6kv8krg4qmo4qmroUrUcUbUMOepwe7wE3faVHAG3/WalcL8ocA9MvF+0nc9lzDmUHImlOZBrt5IPyfP3Z5p4rViIKB3aUdbqR+nQumjSBidt06/K2aea6aSVeFkH5TWNrKwJ2CF5tZ9V1QHqQrO8nHCR9EeSfPvR/fz46SOks1OH6QG3g/928Qr+9NJVlHnn3iN2uchaWRz6wn/ItmIxEi++SHz7dpK7d5dcVu6oqxtv+dLcvKx+9mIRhHvsdi9HnrLfH+TpDmjcZPdQbzoPnDNUry2S4uD8+b7nGUyM/45z6I6SVi0nOzhX2ex4yBqZEIiHI3bQmgvEzXBk2oBpJprbnZvboXjy49zcDrlK58L7qIkBuNO5aIFd71iSu54+zF3PdDEYnfnrPLelnA9e1Mb1Zzcs7mSZJ4FSCpVIlFa550L2iVXu+Yp4MxadU4/3rJW/qtUkmlUMKwcDymSAFAl3hoQ3RcKbJOHSSLh0Ek6DjCP3Ozz3qdbAokyLUk4Up2bmxjWiyktYC2IaHpyGjsvQcRoaLt1eOnP3nQ4dh66h5yrdJ/2FyH181qb7FJ0bn9SKMj9eNKxrOjoamqZjoKPrGrpmoBUey/2naePbaUZuXSt5XNN0u5XcWATCEfRwDCOSwBlNYmQnH6xCkc5Ydj94MzdHjwZRt0HUYxDxGEQ8jtzSIOJy46woo66llvamOsp9Abvi3WlXvudvEyvh8+P6NIUiJ0V0wA5AR4/YcxGNHrY/T0zFcOaKq1pLr+qcqWpdKbIDA2R7ekh3jwfs2f7+qa+M0TQctbWFcD0frDtqak7b9yBDiSE6Rzvt0Hx0H0OJ0kleHVmLdlVLOzW0pgPUDofReg6R7e3CHOjDjCWY1M3V4S4NzN0BjMoKHJX5kNy+OaqrMSoqcFRUzHrehxklw3aYPrR/PFxPhSdvZ7igcqUdrOcnLw3UTvlZsGs4XmjP8sT+IYZjc+u37nMZXLCqiotW2y1a1tYFF67v+DwMRVPs7SsN1vf0Rggnx0+Qh1IxWiJ9rIwc4+zoAdpifQS0OD5SFOYJc+hkQwa9wUp2BVfyjO8sXtXaSOKmsczDmlzVekddkI46u8gy35rmhPTshEe/zG6Xk3+pKEND55bzbmFV+aoT37c4JZyxIfrWrVt57Wtfyze/+U0ALMuipaWFj3/84/zN3/zNpO3/5E/+hFgsxq9+9avC2AUXXMCmTZv4zne+M6vXPBND9ETaZN3nfzvn59WHPKyu9dNeE2BFtYua8izlgRSWEWEkOcJwcpihxBDDyWHC6Sn+MBVTCo9pUK0HqdICVOKnXPNTrryUKQ9+y4nXNKAQdiewomOosQGs8BAqMoIVG0PFo9NXP2m6fQmY02t/mHZ47XVj8SsJNKejNIjPh+tTjuXGpxjT3S5wucgYENPSxLQ0cdJEslFi6VwgngvFCwF5Jkoik0BN05d+VpQCM23fcq1OyiyoME3KM0kqE1kqUhqhtH3zp8CdzofkFlYGLMuNZbmwTAMzo4HmBMNtv6GayxtzTUP3+Yp6fPoxSibc8hc+rOcn3ppu8i2lFMOxNIeHxyc3LZ7sdLpLZk8mP4lCoJ5fNmpDk9qYgN17tF9V0JUL1u1lDSMEmctl0rrGeAg/TfjudRr0hpOFwHx0Ht+bSsKFKvMO7Sh12vCkbcLOWsZCazCrz8LTuJGmxiZWVvtpqvDiNE6tiTWPjSX4l0c6+cmzXWTMqf//C3kcfPjSVXzokpUE3Mv/ipp4Jk7naCd7RvawZ3gPvbFeKj2VrKlYQ3t5O2sq1lDlqVrQD5VWPE7ixZdI7NhO8pVXSn7nO2pq8G7Zgm/LZpytrafth1kxjdGu8R7qkWPj44bTDtJbL4TGzfbfmQWWMTOMpkYLt7HUGCOpEcZSY4wm7bFwOlzSNm8hg3OllB12RsarwaetFI9E7L7bc+UwckF4ACMQHA/EA0GMYGB8EuT8bRlXaiqlePbQCD988hD3v9w741VRLkPnjec0cONFK9jUUr54B7kMKaXsHvPRqSrdp2g9k9tOZUrfI1hK2a34UibRVIZIOk4sEydtJrGwr8pzaSY+UnhUCl1T48GyK4DmDuJwODFy7xc1Ldf+UQMt91/JOBpa8WNaYbTkOSX3tdL9QPFzxteLH1uUnwHKbv3icWGFfGSDXtIBD2m/i6TfScLnoE83eT4c4fmRMP3xKOhpNC2dW07+nKRpGtUBF/VlHqr87lld2eg23FOH7osVwqdjdqg+kgvV8wG7Oc37UV/V5HaJwYYZq9atdHo8WO/pKfRdn24CVc3tHp/ItFC93oQR8J/Y17oESkLzkb2ER/vxRjN4I2m8kTS+aIaGtJ+6lJvyaBZfLIGRjts/l0xs8skHTUPzBDBq6nA0tGI0rcZR34yRD8yr7KryJSk0U8q+Srq4Wn1of2l//jxXAKraifhb2Rmr4uGBIA8fSs1qnoJiDl1jS2sFF7VXcUl7Nee2lC/7zzX5Can39IzQd+gVUkdfwD38KuWxA2hWFi2rcESyOMJZ0mEH6bCDuOUmprxkcxM7Z3WDnkA1R4J1hVuy6D2ZpkFLhS/XEiaQC9eDrKrxz+3EdTYN//mnYKb5t46LeGpsH3W+Ov7m/L/BaZy6xUpi9s7IED2dTuPz+bjnnnu44YYbCuM33XQTo6Oj3HfffZOe09rayic/+Uk+8YlPFMb+/u//nnvvvZcXXnhhytdJpVKkiqprwuEwLS0tZ1SIDnDxP/6O7tHJv/wdukZbla+k/Up7rd2CJeB2QCZjV3cnEqj8MpnESiRRqdwymSATjxOLDhGPjZGIjpKMjZGOR8nEo5iJOFYqNfns9AQa4DRcuHQnLsOFU3fiNJy4dBdOw4lTd9pvYc00ZBJoZNC0DDpJNJVANxS6U0dz6rmlhu7Q0Txu9LI6tMpG9Kpm9OpWtOo28Jbb/TlTKbtaPZVCpdKodGp8LD95VSo/lhqf+CqVtu+nUoVenyVvKEr+d1VFw/bloqZlklUmppXNLXP3lVlyP5u7xLT4G2U6NExDw3To9rpTJ+vQ7PWiMcPlxuly4XJ5cLo9uD0ePC4vXo8Xj9uH3+PD6/aRTYwSGTxKZKSPeHiIRCxKOpklkzaxUhautMKVUjjTCmdG2V+OptmXxuWWuqbjMFw4DQ9Oh7vw83Pq4zeHyzM5AC+eDKvksfzSt2hBWTiZYSyeIZrK2rdktmQ9ksoSmzg+xf3jzpp+HAYmDdowLVp/ri2MHbAHmToUieGdFKwfU1VkWcyQVlHDKGv1o6zV7OC8SrMnIXMZOj6XgdftIBtqRa9dR7D1HOpWb8YbqljEY1wcXcNxvvG7ffzn9u5p/y1U+Jx85PLV3HjhiuP2al9MaTPNgbED7Bnew56RPXSFu457Qq7cXV4I1dvL26n11S7Y/7NWIkHy5ZeJb99B8uWXS4Iao6qy0PLFtXKFBOpnEqXsQCUfqBf333S4c4H6RdBw7nEvIVZKEcvExgPxopC8cD85Sjw7u1DaqTtLgnPPNP1d81XC+dYppdXipYG4GYnYoc5cPwZoWlGleGA8EA8F7ftFgbgRCJReIn+KSqRN7tvZzQ+fPMzuYzMXeDSUeXj/BW38yWtbqJ5j/1lRykqnSyraJ1e6R+zwPRJBjfTYrR2L2jlq7qAdeoYaxt9bFsvfnzSeH9YmDx73udo0m0/cfupJZGc6nonj2sR95e5rHvfxJ+Y8jr19Ee7d0c19O3tyn/VM0DNoetq+0li3b+SWXrfJxmYPZzW6qQlqJM0k8WycRDZBIpsgbc6twnY6cw3h/U4/QVcQv9M//RVvlgXR3lywfvKq1q1wmExPD+mjR+2Q/Wg32d5j0xZyGeXldrBefKuvWzYTyiulGOo/zMFDO+nueoWBnv1kh4bwRtN4Ixl8kTSOjFX4Ofg1Bz7LxMgk7CvDc72ydZeO4XNg+B04ygIYjW04mtfiWHk2xspz0MsrT52/IUpBuNsO1Yf2k+nfx2hPJyPROMOxtD0PRM6ICnJQNXBQ1XNQNXBI1ZFk8t+MdQ0huz1LezXnr6i029meCpSy/z/qfdnua97/SskJBqUUcSNEt2c1u1Ubz8Qa2DHk4EDfGFXhwVz7F/vmz0zOm/p8FYW+6odDdYy5ApN+Rxq6xspqPx11drC+ti7ImrogK6p8OKY7+fDY7dD9HPH1b+ELkZcJp8NsW7GNN61+04J+e8TydEaG6D09PTQ1NfHEE09w4YUXFsY/85nP8Nhjj/H0009Peo7L5eKHP/wh73nPewpj3/rWt7jtttvo6+ubtD3Arbfeym233TZp/EwL0f/qx9sxdr1AW8Cg2afT4NGod2tUGCZ6OlUSihfaoaSSc7qkcyYKRcbKkFZZ0k6NpMMiYVjE9SxRI0NET5N16mRdBlmXTtY5YekyMF0G/kAloVANZcEaKgPVhdYxla5yKswsjnBPac/1cM+k1iILSSlFAkUMk7AyiZsW0WyWeNYknjVJZE2SWZNU1iSVtUhnLUzTwsgqDBMcWYWeBYepMLIUxo2s/Zi9ntvWBANwoGGg4UDDoVFYzz+WXzdOtGpG08BwYxkusvmJtjSdjKaR0SDl1Ii7FDGnRcxpkfYYpD0O0h6DjMdB2p1b5sYzHgOcTsq9FXarGHd5oV1Muaeccnc5FZ4Kgs7gqfMGbApKKZIZa0L4nrEvdU5lcoH7+HohmJ8iqJ84aWWIaEkrmBZtgAZtGI3JLUQsdI6pykKwfjS3DLNQ1TKKRobo0LtYqx1lndFNgzuBz2W3i7FDcyee2jV4GjdA3XqoXntKTgo4XwcHY3z94X3cu7N72uyrOuDmo1es5r1bW/E4Fz9Mz1pZjoSPFCrND44dxJzwO7PWV0tHRQdrK9fSFmqjN9ZL52gnnSOdHA4fnrR9mbuM1eWrWVNuTy5V56tbkP+nrVQqF6hvJ/nSy/aJyxyjoqIwKalr1apT+nfIcpeviM72D9iXxw8MjE/kpmFXo2mafcWRpoGevz8+pun5+/kx7Oq0XMUnuce16bYpHtM0O1Tp3w0Du9CSY4UPZ6bDRaxqNdHqFUT8VUTNBJFslEgmSjh35VYkEyWbu/JH6Vq+kwQqt4/iMYfuJOAJEXKFKPOUE/SEKHOXEfKUE3KXUeYuw2940ePJ8UC8UDU+oa1KNDKv91j5k80TA/HiKvFCOH4iEwCeYrqG49z51GF+8mwXY4mZr5zaurKSD160gqvX103/4VxMTSnIJCCTq0hNx3L3Y0X343bbv0wst4yXPla4WkODltfC2uuh5qyT1k7vTGFZiucOj/DzHd3814s9JW0ZptNY5uHNm5p46+Ym1tYHAft9QT5Qz9/imfjM9xc4hPc6vARcAYLOIAFXgIAzQNAVJOAM2OO59ULonk0VVa0XheuzqlrPTWR6nKp1ZZpk+/sLE5im8xOZDk2+yhIAw8BZV1carDc3YZSXL/jvZWWamKOjZIeGMIeHyQ4NEek7yuCx/YR7j5Ic6iebLm1lpWF/n/0OL35Nx2eaOI0MDkcCw6vh8DswfA57GXDiaGhDb1pv97euWQuBulP6/9mMWToZ6I4jo2BlaNYGWKH1skrrZaV2jHpteFKrJ4VGr6pk1NtKsGktbWvO5pyN51JVdop8xlHKnnum7+XcbRdM7H/uCtif3erOhvqN9v8fE37eWdPi8HCcfX25nuu9YXoPHkUdPkjzWC+tkT6qE2OTXj7s8nMkNF6p3uermHaeMZehs7o2UAjXO+qCnFUftHvIdz4Ez/wfqGpn5+Z38r2XvoemaXzmtZ+hJdiyYN8usTxJiH4SQ3SpRB939OM3T7rccrY0jwfd47Gruj1eNK8H3eNF97jRplp6PUXP8aB7vehuNzidU75xMC2TsfQYQ4khRpIjDCWHStrFjCRHJgU1k44RjZA7ZIfqnkqqvFVUuEJUmYrKdJzK+BjOcLfdUzXSx1Sl8RmliGISxSKGRVTZ61EsYmp8PIJJTNnjll2WPaFQZeLXOKHyBPBrDgKagV9zENQcJfcD+ZvutB/XXTiVhrIUKqNQpsIyFSprobK5pamwsgqVMXPjln0/axa2sbLjj6msVdgWpws9GEIPVWCUV6OX16JX1NofzHOTStntUnL3fb6S6oqslbUvbU+OFKr4RlIjjCZHC9V94VR4Vi1mDM2we7J7ckF7LlwvXk7bX/80Y1qKeHrqgD2/Ho8n0CPduKJd+OPdBBPdlKd6cJhxTEuRNRVZS2Hl/nyM4S8E6l2WveylEouZgwQNixX6IBeH+tni7aVDO0qFkcLrMvC7DVwOHU132pP11K6H2nX2G23n0k/IttT29UW446F9/NdLx6bdpj7k4WOva+ddr2nB5Th5oU6+Z/Pe4b3sGdlD52jnpA+8Ze4y1lasZW3lWjoqOqjwTH+1QNpMc3DsIHtH9tI52smhsUOTflcHXAG79Uv5Gtor2mn0n/hEoVY6TfLlXSR2bCfx4ksl/ZyN8nK8mzfj27IZ1+rVSz5HxalIKWV/IB8YmPKmEnOfr2JBjw+wlEnGytg3M0s2v56Jk03HyGQTZEv+LWp2VaLhtPupT/g77dAN+4op3TF+9ZTuxGmM38/3Pl5Imsdjt0oJjLdOsavHSwPx/N/f5VLZuBxYluLxzkF+9OQhHn61f8ZCfa/T4IbNTdx0URtn1Z9Z7/9LWBZkE3a4nY5OCLxzgXgh8C4OwaO5x+Ic99LS43H5YfVV0LEN/NUL8mWJUqmsySOvDnDfzm4e3t1P2px6vpZi6xpC3LCpkTdvajyhyXTnG8JHM3aryvm0o5wydHf6CZhZAskowfgogdgQwUgv/vgojqneg8yjah3sK+YKE5jmbz09WPGp23/oPu/kqvXGRnTP9PN6qHSa7MhILiAfxhwaJDs8gjk8ZN8fHSWdTRHLzXcVy8RITzyBoIGjvAJ/ZSUVoQA1Hh0vYxiM4PAbGD4Hev79p8MD1Wvs4peaDrtXuOvUa1lTLD8Z6BP77dD86VlOBuohRZvWx0qtlw3uAc4LDtPmiVPpc5VeSao77H8zVavGe6yHmmY8MbOo4sPQ+5IdmPe9bLe3KeZwQ806OzCv2wgVK+Z9kiSVNTk4GGNvX5QDB3sZ3r2XzIH9+I910RAdxFClv49ShpOjwVqOBOs4HKyjO1BD5jgtWS5YVcn/eecqgr+5GdDgbd/le/vuZmf/TpqDzXz6NZ/GmMekseLUcUaG6IvVzmWiM7Enet7gd76DMs2pQ3CvB83tKV0WheBLHVgqpRhLjdnBei5gz9/ywXvGOv4JgqArmKtcL8OhLKLZGNFMnFg2TiQTzYVJRV/rdJeHaqUrLsNVqI4IOAMllyRONb7oE/YsA/mgPf9zzPeTHU2NFsL32QbtuqaXVrIXBeyFinZX8Iz7Hhfke/+NHIbRQzByGHP4EGa4F9O0yFoK07KXWUuRUQajzjoGnfX0G/X0UMtRVUWLM8LZzh5WqSPUJg/i1dLoxf9PGE77DXbtOjs4r2pf+NnXTyO7esb42oP7eGj31Cd9AZorvNx81RretrlpQSoklVL0x/vZM7KHvSN72Tuyl3imtC2Fz+mzK80r7ND8RNqxZMwMB8MH6RzppHO0k4NjByf9bvY5fYXWL2sq1tAUaDqh/1dVOk1y927i23eQePGFkoDXKAvh3bQJ75YtuNvb0Qx5Q52nTBNzZMQOxvv7yQ4O2suBQTsoP85Jd6OiAkdNDY6aGozKCvtkhVJ2+zFLAQosy76vsMM7FMqy7N9RCrsiVeXH7G0sZZLMJElk4yQzCRKZOIlMglTGDluSuXXTMtGUKkz6p+X2qancOqBl0+iZJO5sGrel8CgNNxpuzYnbV43bX4fbW43TcKErLXdcCpU7LixVGLOPvei+ssa/1qLnaZp+nErxkD1/Ryhkt1BZxn3Fl6tIMsN/Pn+UHz11mAMDsRm3bavy8YEL2njneS2U+U6DPqmWObkKfFLgPVWFeC4on+JS+3nRHXao5vQVLX129WJ+3enPLXPb5Ldzh8CQk0GLZSyR4TcvHePend08dWCaqukimgYXrqrihs1NXLuxnpBn8f6/ybfXimaiRNKRwjKWiRFJRwrr4XR4/qG7lcWrFAHTIphNE0jHCSQjBJUigEEAnaCWW2Lg99XgqFgxt6p1pTBHRkqD9e5uMr19ub+FkxnVVbhygbrKmmSHhzCHhskOD2GFI5O2T1uZktA8RZZEwEki4CIRdJIIugnVNlJfWUub38NKLYl39NDUE2wGau338/kq87KW5RP+noCu4Th/7Bzk8c5Bntw/xNA8JgPdurKSi9urSycDTY4V2sAU+qynp+ij73BD5arSiUv91YtTwZ+KjAfmvS+XziMD9u/w6jV2YF5/tn18J/n3ciJt0nl0mMMvvMrwK6+S3r8fV08XVqL075Kp6fT6q0r6qsdck0/sffLqDm5Ofw9GDsEFf8lY02a++NQXiWfjvHn1m7lmxTUn9esRS+uMDNHBnlj0/PPP5xvf+AZgTyza2trKxz72sWknFo3H4/zyl78sjF100UWcc845MrHoGU4pRSQTYTgxPB60F68nh2d9eaGmaXbwnQu//U4/QWcQv8s/aTx/XyawWBhZK0s4HS5UsOcnayuuap9L0F7mLiu0i6lwV1DmLqPSU1kYD7lDZ1bQnknaV2IUheuMHi70Ojwuh8e+5Dofmleukg/C8/BC1yj//OBeHts7MO02K6v9/PVVa3jTuY2zmgCs2EhypNCeZe/IXsZSpZdSugwXayrW0FHRQUdFB82B5pN2ojRjZTgSPsK+0X3sG9nHwbGDk34Xex1eVpWvoqO8g/aKdpoDzfOuHlGZDMlXXyWxfTuJF14oqQTTg0G8m87Ft2UL7o6OMyJQV5kM2aGh8SryohYs2aEhMGeowtJ1HFVVdlBeW1MIzB01NTiqquYV/iazyUK/8ZIJOpMjjKXH5nTVEoDP4Su0AyvLtVPJn0zN/573O/12qD7wKhx5Ao48XRoiuEPQutXuoV5z1mkRHJyuOvuj/OjJQ/zn80cntTub6PKOGj540Qou76ixQ4/lwsxOE3hPrAKPl1aLT+hNfMIM58yBtzMXiE8ay20rJ8xPSd2jCX6xs4d7d3Szp29yMDuRy6Fz9bo6btjcxOUdNSf1Srn5WLDQXSkwU7kTT/lb3J6HC/CiE9DsUD2ATkB3EfTVEAg2EihrIVi+kkBlO8FA/Yw93VUmQ6avrzCBaf5mjo1hKUUqa5HI2L/bHLqGoWs4dB1D17CcGlG/zqAnQ48rxqA7TTzoIhl0EQ+6SPudtPnqWaP7WJM1WRUZwjPaBdaEtj66w37/ng/Mq9eA9/SYn2gomuKJ/UO5avMhjgzPbYJth66xubW8EJqf21w+u3/zSkFsoChY74ThA4V/PyXcITtMr1pt3ypXg2cBMqlM0u5lng/ORw5TetWQZv/c85XmNWtPyiTsc6Usi5GDhzn8/C6Gd+0htX8/meFhYimTdFHLuyFvGV2BWg6H6jkSrGPIW8aFq6r4962HYdfPoPUCuOQWnjr2FP/2yr/h0B387fl/S52/bgm/OnEynbEh+k9+8hNuuukmvvvd73L++edzxx138NOf/pRXX32Vuro6brzxRpqamvjyl78MwBNPPMHll1/OP/7jP/KGN7yB//iP/+BLX/oS27dvZ+PGjbN6TQnRz0xKKeLZeKE9zFByCNMyCxXihaUzgNdx6k+sdTrLWlki6UhJsD4xdB9Ljc0qhNE0jTJXWUm7mJArNGUfRpdxmn5gVMqelC8fqOcD9tig/QG69iw7MK85y760Ty6NWzDPHRrmnx7Yy5MHhqbdZk1tgFuu7uDaDfXTBkGRdIR9I/sKwflgonSCLUMzWF2+2g7NKztoDbZOP2nXSZa1snRFutg3so/O0U72j+4nZZaGQm7Dzery1YVK9ZZgy7yOV2WzJF/dMx6ox8YrVnW/H++55+I9bwuetWtP6RYZViplV4/399vh+GAuLB8cwBwemXEySs3pwKiuLoTjztra8fuVlbP+viil7BOgRQH5VEH5xJ/1dHRNJ+QKFa44Kg7Gi9fn9XvZMu0PmUeegq6nS6vHvBXQshXaLrIDBnkvsORMS/G7V/v54ROHeLxzmskDc4JuB+94TTM3XriCldWL2HpAKbvqLzFsXzKfGIbE6Ph6fNg+cZOOTt+jea4c7vEQ3OmdHHi7/Pa4019aBZ4PweUE+Blv97FwYULS3vDxW3SV+5y84ewG3rq5ifPaKk7Jz0pzDt1TY6h0PNcCKWEvM4mivv4TGC5wevG6QwS81QT9dQQCdQRcIQLOAJryEk04GIs5GInqDIxpHBtR9PeNoY4doyY6RE1iFFM3GPU6CAeSREJRwuWjpDwJDEMvBOsOXaOKICstFxvMLOdmRqm1xjA0HYdhB/CGroG7jExlO1bVWhx1a3HVtBPwefE49VPyZ1gslsryzKFh/rhvkD/uHzruZNJTWdcQ4uLVVVzcXs35KxdwMlDLtOdoG94/XrE+emTqudr8NblQPVexXrkKnNO39wHsvyWDe+33M70v2fufuO+y5vFK89p1p0xLnuzwMKnOTkZe2cvgrldJdB0lmswQTmaJ5OY8ORKsY8fKzfzn312O/tDn7b93b/seSjf41gvfYvfQblaVr+KWLbec8v/OxdTO2BAd4Jvf/Ca33347vb29bNq0ia9//ets3boVgCuuuIIVK1bwgx/8oLD93Xffzec+9zkOHTrEmjVr+OpXv8r1118/69eTEF2I059pmYVAp6RPe3K8fcxYeoy5/EotbtkzaaKj0zF0z6bsDwPyxuOke2L/IP/8wF6eOzwy7TbrGkJ88uoOXr+ulqSZZP/ofvYM72HPyB56oj0l22potIXa6Ki0W7SsKlu1bK+WMS2To9GjdI50sm90H/tH95PIll7W6TJcrCxbyZqKNawpX0NrqBWnPrevR2WzpPbtI759O4kdO7Gi48Gp7vPhPfccvFu24DnrLDTn8vteWbHYtP3JzbGZPzRqHk9pFXn+VlszpwnOMlaGocQQg4lBBuIDDCQGGEwM0hXupTs8gIWFoYGuafZNL1rPTwAKeByeKQPx4vVFm/fCzELfS3D4STj6rF15mOersiubWi+yP9zK78JFNRJL89PnurjzqcMcHZm5Bcma2gA3XrSCt21uWrgAJM/MQGKkNBCftByZXO15PIWAO1/lPVUluG88BHd6S8NwOaEtFohpKZ4+OMS9O7r5zUu9RFLH/7fcUunlLec2ccPmJtprT5HJFOchX4RVErCnxohFuomMdRGJ9hCLDRBJDBHJxIgqk6xSWJbCVArTUphKI66cRE0nceUigYukcmMWzUWkLBfK8oDlQVkuNOcoulHaHkRHUZZ205zWOCuTYktmhIAq/VkpNI6qGvarRvarRjqtJgYoY/JcXWDoGj6XQcDtwJ+7BdwGfpdj8lhhfcJY0baLcZVC8WSgT3QOsf3ICFlrbvFYS6WXi1fbleYXrq6iOrCI1djZtF2wVFyxPrHNCgCaHYAXV6yHmu0QPj8Z6MCrk0/K+mvswLxuoz0p6GlyhYEVi5E6cJDel3fzw7sepSXaj2HZJwwuuXgjDRW78TVoaK//PNRvZCgxxBef/iJpM8271r6Ly5ovW+KvQJwMZ3SIvtgkRBdCAFjKIpwKT+rLnn+jHM1EiabtCpXjTWo7lZLQ3RUsXOkQcoXwu/ynX+guTohSisf2DvDPD+7lxaMTZ7LPorsH0N3HqK8ZprUuToXfgVb0oagx0Fjoa766fDU+p29xv4AFYimL7mh3oVK9c7RzUg93p+5kZdlKu696RTsrQyvndJJAmSapzk4S27cT37GjpNeo7vPiOfscfFs241m3btH6VSulsMLhor7kRe1XBgdLquinovv9OGprcVRX51qv1OKoqcZRa08QPdtAOm2m7ZA8McBgfJD+RD8DcTssH0mOFK7wSWRMBiIpBiIpRhPp3BXDGsr0okzfFDc/uvLj0gK4DDduh47LoeN2GEXrOq7c/YmPTxzLb+926riM0n24nQYuw35s0usY+vStPcwM9L44Hqhniyoz/TV2dXrrBVCxUgL1k2hXzxg/fOIQ9+3sIZWdfjJEXYOr19dx04UruHB11dxPukxVPR4fmRyQT9XndjruEPgqwVuZW1aMLz3l49XiDq+0DRLLUjJj8vDufu7d2c2je/rJmMePHs5uKuMtmxp587mN1IaOUz17ilNKMRBJ0TUS58hwnCNDCY4Mx+kajtM/NIwj1kWjdowaRy/VxgBlxhBZPUNSVyR1RSK3TOoWY7qDUd1JgvFgPcX4exkXWSozTlrTsD4dZ2MminvCjyOJm/2qgf1WE52qkQOqgSRL06LDZej4c+H6VMH8lCF8bmxymO+wW9hYij19Ef7YaU8G+szB4eO28pqo0u/iolyl+cWrq2mtWmbvj9Mxu/VLcY/1xPHnLgDAU5arNM+1aAnUntxjXWJKKTb/rwfJjo5xwbFdvLZvN69p8FGb7cXQxghedRX+m/4O3eXi90d/z0/3/BSX4eKzWz9LlbdqqQ9fLDAJ0ReRhOhCiLlQSpE0k3agnokQTUfHLwMtXi8ak9BdzJdSigdeOcZXH/4jhyOd6J5j6K5+NK3031SVt5rrOrZwbccWOio6CLqCS3TEJ5dSip5YT6FSvXO0k+iEUMvQDFaUrSi0f1lZthK3MbsPkcqycoH6DhI7dmCOjZ/A0DwevGefjXfLZrwbNpxwoJ6faGxSb/LcTaVmbnVilJVN7k2eu+m+2X8oTGQTk6rJ8+sT++cXjh1FLGUyHLUYGHUzNObBygZR2RAqG7RvphdY/sGgyygO7fMBvVEy5jNM1pgHWJt+mZWpV3GTLlTVJ9zV9FVsYbDyPDLBZtzO0uDf4zQo8zqp8Lmo8LnwuqRi+HgypsVvX+7lh08cmvGKHIAKn5N3n9/K+y9oo6l88kRjgF3tlxgprRQ/kepxw1kajBfWi5becns7IU4TI7E0//XSMe7b2c2zh2b+/xLsE1sXt1fz1s1NXLOhnsBCXxWySOLpLF3DdjieD8i78usjcZKZ6U/uTaaoZZQWrZ9mbYCW3K1KG8s9qkhpkDAskroiqusMGEHqrDRtqQyOCS/Vr8rZr5roVE3sV410qyrUKfB3dz48Th2HrhOdxZURxXwug/NXVhaqzc+qDy6veTFmIz5cFKznwvVM3L4KqW79eIuWUNMZd1L//d97utDazZ1N8Xc1Y1x5+PdYXbvA4UFfvZXAlVfgv/xyvv7qv3Jg7ADrq9bzl+f+pbR1Oc1IiL6IJEQXQpxMU4buUwXwCxS659vJ5Nfzk+BODOKXazsPMR4U59uzdI50kswm6Y+kODAYI57KokwfZqoBK1mPlWpAmfbl0xeuquJT13TwmhWVS/xVLA6lFH3xvpJK9YnBr67ptIXaCqH6qrJVeBzHr45TSpE+cMBu+bJ9B+bIeGigud14Nm7At2ULno0b0d1Th/QqmyU7NJwLxvtLg/LBQcjO8P+6pmFUVtgV5fke5TU1GNU1OGqqp33NqcQysUIF+UBioLDen+ifdBJiIq/DS42vhmpPNbGEn84ejecPmBwddILlYarLwk9nLjKco+3ntfpeztH342T8A/0xVcWz1lqetc7iGFNXObkdOuU+O1Qv9zkp97qo8Dsp97ko9xaN+1xU5JblPidO4/QMRor1R5L8+9Nd/Pjpw/RHZj6JtLEpxE0XtPGmdUE8mbHFqR7Pj7kCZ1xQIUSxruE49+3s5uc7utk/MPOVUWAHoNesr+etm5u4ZE31svp9ZlqKvnCyJCQfXyYYjC7Q5L3TMHSN1WUam0IR1ntHWOUcopl+KjO9+A0Th6HZVxrqDsyKlSTL2okGVzMWWEEEP9GUSSyVJZrKEsvd8mOF8fQUY6ksc+x8ckpw6BqbWsYnA93UMsvJQE8lStknfj3lZ/xVTF/+9W6++/sDhftXrq3h/72rg9g/vY/I7lGyfnvCVM3txjr/HL4Veo6oT+cD6z/A1oatS3jkYqFJiL6IJEQXQiwnSikS2YQ9qZGE7mcEpRSDicHCRKD7RvdNCjZ9Dh8dlR2sLlvD4WMhvv/7EQ4PTd8X+PKOGj51TQfnNJef5KNfXpRSDCQGCpXq+0b2MZoaLdlG0zRag60lofrx2t0opUgfPERix3bi27djDo1fWqs5nXg2bsSzcQNWPI45OEimvx9zcJDs0DBYM1SpOQwcVdVT9id3VFXNaSLPaCZaqCDPB+X5NizxbHzG5wdcAWq8NVR7q6n11VLtrabGW0OZq4qXupLcv6uXB1/pO26wmecydJyGRtq0ZnX5/6nKTZpztf2cr7/K2fpBDMZ/Fx9VNTxrncULalWu362GiYGJThYDC50s+qyrBgNuR2n4ng/Zvbl1vx3IF28T8jiXfcWdUortR0b50ZOH+PVLxwr/XpxkKSdKuRalgggVWpQqPcoFDRrn12nUOeNoUj0uxJJSSrGrJ8zPd3Tzixd6GJjF34hKv4s3ndPADZub2NQy+3k4TkQ4meHIUJyj+bYruYC8a9geO9l/pyr9LloqvLRU+mgturVU+mgo8+CY6qSCUhDptSej9JRB5coF/f2klCKZsQqBeiGEnyZwLx6LpbPEJob3c2yrspDOqg9ycXs1l7RX89qVlafsVQ9i7n7xQg83//uOwv2aoJtnP/t6ePgfUMdeJuG9lPDuMJmjRwHoTw/xfGOKnte08snrv0jIJfnf6UJC9EUkIboQ4lQ2m9A9nA7bjy9Qe5mAM4Df6beXLn8hbC8e8zv8GDLR2bTGUmOFSvO9I3sZSZZeGu0yXLSXtxf6mjcFm9C18Q9ZWdPiZ9u7+f8e3kf36PRh+tXr6/jk1R2sazgz/74ppRhKDtE52sm+ETtUH06W9pbU0GgONhdC9dXlq/E7/TPuM3P4MPHtO0js2E52YHDGY9BcrskBeW7dqKhAm2UVkVKKsdTY5JA8134lZc4cXpS5y6jx1thV5bmQPL/udYy3wYinszy2Z4D7d/Xy8Kv9RJKzCykrfE5ev66ObRvquWRNNR6n/f+/aSnSWYt01iKVNUllrdzNzI3Zt/TEsYxJ2rRIZSx7OWEslV9O2o9ZtL/x1zzZ75i9JNmk7+e12h426IdKAvWZKLRCoJ4P2U0MTKXn1u3QPb9uFq8rvSiY13P7MQpLhYbL5cLjcuF2u/C5XXg8bnxuNz63C5/Xg9/jIuD14Pfay5DXjcftQtMdoDvsCSt1w17XjNKxkvuO2VVnKwWpMKnwIH94cS+/f2EPo0P9VGhRKrQI5USp0KL4Gf+95nboNJX7aKrw4HZM8XdFqseFWHJZ0+LJA0P8fEc397/cO6tQdUWVj7dssickXVk9/d/d48mYFsdGk0UBud1qJV9VPhrPHH8nJ8Bl6DRXesfD8QpfITBvqfQS9Jz+J+csSxHPmBOC9ynC9qJAPpqevnp+pjkwmiu8XNJezUXt1Vy02JOBimXlwECU1/3TYyVjz/zPq6jtfgh23An1Z6Ou/CzJXa8Quf9+kvv2sn90Pwkzib7xLK688X/iXrlyiY5eLCQJ0ReRhOhCiDNJSeheNGFqOBMmlo4tWOgOdhuI4mA96Aza913jgXshfHcF8Dl8p21/ulgmxr6RfewZtkPzvnhfyeOGZrCybCVrK9fSUdFBW6gNh378Spp01uKnz3Xxzd910htOTrvdG85u4Jar19Bee3r2Sp+L4eRwSaX6YKI0BNfQaAg0sKZiDWvK7VB9uh7zSikyR4+S2L6dVOd+jPKy3GSeuUk9a2rQy8pm/e/aUhYjyZFJvcnz7Vcy1vRBgIZGhafCDsh9NdR6a6n2VVPttW8z9YUfiaV5aHcf9+/q4w/7Bmb88FqssczDNRvq2bahnteuqJi6mm4ZUEqRzYX5EwP8QrhfFMzbQX1pGF98EmDyeumYnomxOrWbDZldNJpHUaYdcc82WF9quqbhNDSchp67aThyy/Gx4vv2Utf00tA9f9N0e2llSISH6B6K0D2aIGPO/O8s4PPR0NBIc2MThr9SqseFOEXE01kefKWP+3b28NjeAcxZ9A3Z1FLODZsaeeO5jZNCUaUUo/FMaUheFJb3jCZn9RonoiboLqkgt8NyL61VPuqCnmV/1c+pJmNaxFNmIWiPprIk0ybNFb7lNxmoWDKWpTj71vtLTtp9/4Ov5crGLPzqFvu9x9u/B067WCR14ABHf/FT9j7+XyigNdRK7dmvJbTtGtzr1p22n0PPBBKiLyIJ0YUQYnr50D2aiRLLxIhl7KA9H7jnQ/j8eDQTJZFJoJj7nycNrVDZXgjfZwjd/U4/HsOzLN/wpMwUnaOd7B3ey96RvRyNHC35nmhotIRaWFthh+ary1ef0OSwyYzJXU8f4VuP7p+2f6euwVs2NfHXV61hxQlUfJ1uxlJjdpX66D46RzonneAAqPfXs6Z8TaFSvcxdNu/Xy1pZRpIj9Cf6GYwPllSWDyWGZjxppWkaVZ4qanw1k9qvVHmrcOqzDxOPjSV4YFcf9+/q5emDw7MOINbUBtiWC843NoWW5f9/y41lKcLJDCOxNKOxJGOxJGOxBGPxFJF4gnA8RSSRJJpbxhJJ4sk0yXQaBxZGLoAfXyoMzSwZd2ChY+HAzC0tdM2+bxT2Ubwf++bQsqX3i5+fv69Zk45DZ3IAbujahHC9dH00nmYgkkIBEXyMqgAjKsgIAXudIHE9yGvXr+YtF57N+hWNUj0uxCluMJriv148xr07u9lxZPS42xu6xmVrqlldE6BrZLztylwnlJwrr9OgJVdNPrHtSnOFTyaFFmKZeud3niiZ7Pi/X9PBx65sh1/+NUT74NJPQcv5Jc/5zVN30vXLu1mxP0pHWTuGZuBsaSF07Ta8mzfP+ipRsXxIiL6IJEQXQoiFZVom8WzcDtZzLWUK4XturOR+JkoyO30V9UwMzSgJ2Se2mfE77f7uxSH8yejvnrEyHBo7VGjPcmjsEJYqDZnq/fWFSvM15WuO24d7PuLpLD968jDffWw/I9NcvmzoGm/f0sTHX7eGlkqp5pkonA7TOdJZaAFzLHZs0ja1vlrWVKyxW8CUr6HcU17yeMbMMJQcKqkkz1eXDyWHmOntm6EZdvW4r5pab21J+5UKT8WsrlCYTmd/lPt39fLArl5eODp2/CfknNtSzrYNdquW1TWBeb++mJt01mIskWE0nmYkbi9H4xlG4mlG8+OxDKOJ8fGReIb0LK8kODFq2mC+EOxrpcG+QmNUBRglgElpINVU7uUDF7bxJ69pocI//xOKQojl69BgjHt3dnPfzh4ODh5/QtKFpGnQEPLQMiEkz69XB1xyUliIU9Ctv9jFD544VLh/7YZ6vvOB8+D5H8Ce38CqK+GCj5Q8J2Nm+Mdn/pGxvi6uOhzk7P1ZVDoNgKOmhuA1V+PfuhXNJe9HThUSoi8iCdGFEGLpZa3seDX7FCF7vvK9eDxtpuf1Wi7DNWPoXlztnl+fGFxayqIr0lVoz7J/dP+kVhuVnspCaN5R0XFC1ctzFUlm+MEfD/GvfzgwbU9rp6HxJ69t4WNXrqG+zLNox3aqiaajdI52Fm7dke5JV1pUe6tpDbUSTUcZSAwwmhyd8WoMp+4sqSYvXq/wVJT0vz8RSilePDrG/bt6uX9XL/sHZhdaGLrGBasq2bahnmvW18u/j1NMIm3aQXt8PIAfiacZS9jV8CPxDGOJovF4htFE5qS3Q5jKJe3V3HTRCl53Vi2GtEMQ4oyglOKFo2Pcu6ObX77Qw1Bsfu/nJgq6HeMBeZUdkLdU2NXlTRXeqedUEEKc0u5+rotP3/Ni4X5LpZc/fOZ1cOxFeOSL4CmHt35n0pVtB0YP8LXnv4ZC8Vcdf0rjCz1EH3kEK2a/VzbKQgRedxWByy5F93oRy5uE6ItIQnQhhDg1pc30pAr3fEuZqUL3E+nv7nF4CoG623DTFekikS2d0DPoChYmAu2o7KDaW70QX+YJGYtn+N7jB/h/jx+cdpIvl0Pn/Vvb+MsrVlMTlMmZjieeiRcC9X0j+ya16slzG+5COF5cTV7rqyXkOnltULKmxTMHh+2K81f6ODY2u6s8PE6dy9bUsG1DPVetq6XcJ9U3ZxLLUkRSWcYKFe0TQ/fxSvexomB+thPPFvO7DN5+XjM3Xtgm8zQIcYbLmBaPdw5y745u7t/VSzIz/ZU0hq7RWO6ZVEWen8yz3OeUanIhzjCv9IS5/ut/KBl74fPXUOYG/vNPIZuCbV+CqtWTnnv33rt5rOsxKj2VfPaCz+LMQuyPfyTy4EOYI3aLGN3nxX/ZZQRf9zoMyQuXLQnRF5GE6EIIcWZQSpE0k5NayszUZiaWjk1bUex1eGkvb2dt5VrWVqyl3l+/bD+8DcfSfPf3+/nhE4em/YDqdRrceFEbH7lstbRTmIN4Js7BsYN0R7spd5dT7bPD8oAzsGj/HpIZk9/vHeD+XX08/Gofo9O08pko5HHw+nV1XLOhnss7aqTnq5izrGnlAvZcdXusqOp9Qhsal0Pnio4a3n5eM0GPTAYqhCgVS2V54JVefr93kLRplfQlb6300VDmWbYTWAshlkbGtNjw+ftJF01WfteHt3LR6mr4/f+Go8/C2e+Es98x6bkpM8UXn/oiw8lhLm+5nHd2vBMAlc0Sf/ZZwg88QPZYLwCa04HvwgsJvv71OGtrF+eLE7MmIfoikhBdCCHEdJRSxLPxkoA9no3T4G+gOdCMoZ9aoWN/JMm3H93Pj58+Mm3fZL/L4E8vWcmfXrqKMq8EXcvVWCLDI6/2c/+uXh7dM0AiM7urLOpCbq5Zb08MunVVJU4JJIQQQgghxCnqTd94nJe6x+f6+ez16/jwZatg/+/g6e9C5Wq49ktTPnf30G7+Zee/oKFxy3m3sKp8VeExpRTJF18k/Nv7SR88aA9qGr7XnEdw2zZczc0n9esSsych+iKSEF0IIcSZ5thYgm/+rpOfPtdFxpz6rUTI4+DDl67iQ5esJOCe/2SWYuH0h5M88Eof9+/q5cn9Q2Rn2cN6VbWfazbUs21DHec2l6NL72khhBBCCHEa+Nufvci/P9NVuH/DpkbuePdmSIzAz3OTir71O+CtmPL5d75yJ08fe5o6Xx1/c/7f4DRKi4iUUqT27SNy/wMkd+0qjHs2bCC47Rrca9Ys26uRzxQSoi8iCdGFEEKcqbqG43zjd/v4z+3d004qWOFz8pHLV3PjhSuk3ccSODQYK0wMuqNrlNm+89vYFGLb+nqu3VhPe+3itZYRQgghhBBisdz51GH+7t6XC/fbawM89MnL7Tu//Z8wvB+2fgRWXznl8+OZOF946guE02G2rdjGm1a/adrXSnd1EXngAeLPPU/+Tblr5UpC127Dc8458n57iUiIvogkRBdCCHGmOzgY4/97aC/3vdAzbUhbHXDz0StW896trXicEqafLEopdvWEeWBXL/fv6mNPX2RWz9M1eO2KSrZtqOeaDXU0V/hO8pEKIYQQQgixtHYcGeGt33qicF/TYNdt2/C5HPDi3fDyPdByPlz6qWn3sbN/J9976Xvoms6nX/tpWoItM75mpr+f6MMPE3viCVTGnmTd0VBP6Jpr8L32tWgOuYp3MUmIvogkRBdCCCFs+/oi3PHQPv7rpWPTblMf8vCx17Xzrte04HJIP+2FYFqK5w+P8NuXe3nglV6OjiRm9TyXQ+fS9mq2bajnqnW1VAXcJ/lIhRBCCCGEWD4SaZMNf/9bii+q/c+/vIjz2ipgaD/c/z/B4Ya3/z8wpg+3v/fS99jZv5OWYAv//TX/fVZzX5ljY0QeeYToY4+hEkkAjIoKgle/Hv/FF6O75b35YpAQfRFJiC6EEEKU2tUzxtce3MdDu/um3aa5wsvNr1vDm85txOPU5fLFOUplTZ7oHOL+Xb08+EofQ7H0rJ4XdDu48qxatm2o5/K1NdKvXgghhBBCnNGu+dpj7O2LFu7/w1s2cOOFK+yWKz//C0iOwZWfhYZzpt3HWGqMLz71ReLZOG9e/WauWXHNrF/fiseJ/uFxor97GHMsDIDu9xO48koCV1yBEfDP+2sTxych+iKSEF0IIYSY2gtdo/zzg3t5bO/AjNs5DY2Qx0nQ4yDocRLyOgi6c8vceP7xkHf8/vhzHDiM07+qPZrK8sir/dy/q5dH9wwQTWVn9bzqgJur19exbUMdF66uwu2QdjpCCCGEEEIA3PKTnfx8R3fh/p+8poWvvCMXmD/1bTjwKKy9Hs67acb9PHXsKf7tlX/DoTv42/P/ljp/3ZyOQ6XTxJ5+msgDD5IdsD8/aS4X/ksuJnj11Tgqpp7cVJwYCdEXkYToQgghxMyeOzTMPz2wlycPDJ201/C5jJKw3Q7jJwTwE0L4YFEw73cZy7IafjCa4qFX+rh/Vy9/7BwibVqzel5LpZdrN9SzbUM9m1srMPTl97UJIYQQQgix1L73hwN84b92F+5vaAzxXzdfat858jQ8/s8QqIM3f33G/Sil+NYL32L30G5Wla/ili23zOvzhbIsEjt2EP7t/WS6uuxBw8B//msJXnMNzoaGOe9TTE9C9EUkIboQQggxO090DvJPD+7l+cMjS30ok+gaBNz5kN1JKB/ETwrei6rli7YLehwLNmFq13Cc+3f18sCuPp47PFzSo3EmZ9UH2ZYLztc1BJflSQEhhBBCCCGWkyf3D/Ge//NU4b7T0Nh127X2/E2ZBPznn4GVhTd+DUKNM+5rKDHEF5/+ImkzzbvWvovLmi+b93EppUjt3k34/gdI7dlTGPeeew7BbdfiXrVy3vsW42ab60oTTCGEEEIsmovaq7lwdRWP7R3g/3t4HzuOjC71IRVYCsLJLOFkFpjdxJwTuRx6Sfhe3JpmYiua4jA+5HESSWZ5MFdx/sqx8KxeT9PgvNaKQnDeWuWb13ELIYQQQghxplrfWBqcZkzF3r4IG5vKwOmF2nXQ+xJ0bz9uiF7lreItq9/C3Xvv5t7Oe9lQtYEqb9W8jkvTNDzr1+NZv57UwYNEHniQxM6dJF54kcQLL+Jes4bgtm14NqyX4plFICG6EEIIIRaVpmlcsbaWK9bWMhbPMBJPE0lmCSczRJIZwon8+vgyPx5J5Za58exsS7QXSTprMRhNMxid3SSf8+E0NC5aXc22DfW8fn0ttUHPSXstIYQQQgghTndlXietlT6ODMcLY6/0hO0QHaBxsx2i92yHdW887v4ua76M5/ue58DYAX6y5yf85bl/ecIht3vlStx/8edkenuJPPAgsWeeJrVvH6l9+3A2NxPadg3eLVvQDJn76GSRdi4LQNq5CCGEEItPKUUiYxZC9rFcuB5Ojofs4cQ0YXz+/iwn5lxqPpfBlWtruWZDHVeeVUvI41zqQxJCCCGEEOK08dEfP8+vX+ot3L/xwjb+4S0b7TuRXvjlX4NmwNu/B67jX/3ZF+vjy898mayV5cb1N3J+w/kLerzZkRGiDz9M9A+Po1IpABw11QSvvhr/BReguVwL+nqnM2nnIoQQQojTmqZp+FwOfC4HdaH5VWObliKaGg/bpwzhU6Vh/MTHU9nZTfQ5V5V+F69fV8u2DfVc3F69YP3WhRBCCCGEEKU2NJaVhOi7eoraKwbrIdgAkWPQ+yK0XnDc/dX567hu5XX8cv8vuWffPZxVdRYh18IV3joqKih/xzsIXnsd0cceJfq7R8gODDJy178z9qtfEXzdVQQuuxTdJ+0eF4qE6EIIIYQ4Yxm6RpnXSZl3/pXdqWy+Gn5ypXs+dC8N6SdWx2cxc21pmsq9XLOhjm0b6nlNWwUOQ1+oL1UIIYQQQggxjQ0T+qK/0hPGtBSGnmvD0rgZ9hyz+6LPIkQHuKr1Knb07+Bo5Ch377mbPz37Txf6sDECfsre8AaCr389sT8+QeShhzCHhxm7917C9/+WwGWXE7zyCozy8gV/7TONhOhCCCGEECfA7TBwBwyqA+55PV8pRTxtkjEtyrxOmRRICCGEEEKIRbahsazkfiJjcnAwRnttwB5oOg/2/Bp6doBSMIv37A7dwfvWvY+vPvtVdvTvYGf/TjbVbjoJRw+6203wdVcSuOxS4s89T+SB+8n0HCNy//1EHn4I/4UXErz6apy1tSfl9c8EUt4khBBCCLGENE3D73ZQ7nNJgC6EEEIIIcQSqAm6qQuVFsXs6hkr2uAscHggFYah/bPeb0uwhWvargHgp3t+SjwTP84zTozmcOC/YCt1f/d3VP/VR3GtXgVZk9gfHqf3729l8P/8H9JHjpzUYzhdSYguhBBCCCGEEEIIIYQ4o22cUI1e0hfdcEDDufZ6z/Y57ffaFddS66slnA7z886fn+hhzoqmaXjPPpu6T3+a2v/+KTxnbwSlSDy/nb4vfZmBr3+d5J49KKUW5XhOBxKiCyGEEEIIIYQQQgghzmgT+6K/3D1WukHTFnvZPbcQ3Wk4ef+696Oh8WTPk7w6/OqJHOacudvbqfmrv6Luc5/Dd/75oOskX9nNwNfuoP8rXyW+Y4eE6bMgIboQQgghhBBCCCGEEOKMtqFpciV6SbjcsAnQYOQgxIfntO9V5au4rOUyAO7afRcpM3WCRzt3ruYmqv7bh2j4h9sIXHE5mtNJ+tAhhr77r/Teehvx559f9GM6lUiILoQQQgghhBBCCCGEOKNNrEQfS2Q4OpIYH/CWQ9Vqe71nx5z3/+bVb6bSU8lwcphf7v/lCRzpiXFUV1Px7nfT8KUvErruWnSfl2xfH9mBgSU7plOBhOhCCCGEEEIIIYQQQogzWlO5l3Kfs2SspC86QONmeznHvugAbsPNe856DwCPdT3GgdED8zrOhWIEg5S95S00fPGLlL39bQQuu2xJj2e5kxBdCCGEEEIIIYQQQghxRtM0bVI1+q6eafqi974EZmbOr7Guah1bG7aiUPx494/JzGMfC033egldfTW6z7fUh7KsSYguhBBCCCGEEEIIIYQ4421snNwXvUTFSvBWQDYF/a/M6zXetuZtBF1B+uJ9/PbQb+d7qGKRSYguhBBCCCGEEEIIIYQ4462fUIn+cveESnRNG2/p0j33li4AfqefP1n7JwA8ePhBuiJd89qPWFwSogshhBBCCCGEEEIIIc54G5tKK9H7Iyn6I8nSjRpzLV26nwel5vU6m2o3sal2E5ayuGv3XZiWOa/9iMUjIboQQgghhBBCCCGEEOKMt7LKj89llIxNaulSfzboDogNQLh73q/1zo534nP46Ip08fCRh+e9H7E4JEQXQgghhBBCCCGEEEKc8XRdY33DhMlFJ7Z0cXqgdr293rNj3q9V5i7jbR1vA+DXB39NX6xv3vsSJ5+E6EIIIYQQQgghhBBCCAFsmNAXfVIlOkBTvqXL/Pqi522t38q6qnVkrSx3vXoXap7tYcTJJyG6EEIIIYQQQgghhBBCABsm9EV/uWds8kb5vugDr0I6Nu/X0jSNd699Ny7Dxf7R/fyh+w/z3pc4uSREF0IIIYQQQgghhBBCCCZXoncNJxiLZ0o3CtZBqBGUBcdePKHXq/JW8ZbVbwHg3s57GU4On9D+xMkhIboQQgghhBBCCCGEEEIAa2qDuIzSyHTXsRmq0bufP+HXvKz5MlaVrSJtpvmPV/9D2rosQxKiCyGEEEIIIYQQQgghBOBy6HTUB0rGXpmpL/qxnWBZJ/SamqbxvnXvw6E7eGXoFZ7tffaE9icWnoToQgghhBBCCCGEEEIIkbOxcUJf9O4pKtGr14LTB6kIDHWe8GvW+eu4buV1ANyz7x7C6SmCe7FkJEQXQgghhBBCCCGEEEKInIl90XdNVYluOKDhHHu9Z/uCvO5VrVfRHGwmnolz9567F2SfYmFIiC6EEEIIIYQQQgghhBA5G5pKK9H3D0RJpM3JGzadZy+7FyZEd+gO3rfufWiaxo7+Hezs37kg+xUnTkJ0IYQQQgghhBBCCCGEyFlXH0LXxu9bCnb3TlGN3nAuoMHoYYgNLchrtwRbuLrtagB+uuenxDPxBdmvODESogshhBBCCCGEEEIIIUSO12WwuqZ0ctFdU/VF95RBdbu93rNjwV7/uhXXUeurJZwO8/POny/YfsX8SYguhBBCCCGEEEIIIYQQRTZOaOkyZV90gMYt9nKB+qIDOA0n71/3fjQ0nux5kleHX12wfYv5kRBdCCGEEEIIIYQQQgghikycXPTlnikq0QEaN9vL3pcgm16w119VvorLWi4D4K7dd5EyUwu2bzF3EqILIYQQQgghhBBCCCFEkQ2NpZXoe3ujpLP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O63xG6XWWxsYgtW9Qx9z6JTTQUzY25X8PiRmJ+iz2M124ckFOdk6KbBOpNt5tbuRt3LDzV87rxxM/amfSTplkkkEGdQvopnsb3au6TnWrtRagSF5BnpYcWKI9KXskSfc3uV8RgX1lSIgubNdyNkYyFbX7Mkh+d0ghPaWgLpJDydXlM346qM82nDAf927uoy+f7FIN76RqGLOzdembpcratk2S5NiyhepFRsrW09PKldU8hOjViBAdAAAAACyZTCbtiUvVit0J+j4m0aLPbFka1HXR4PaBGtw+UCHeN75x45kLWZr336NaviteZWTpquvqoGf7NNYfu4XI2YFfabeGLcfPa/qPB7U/Mb3U826OdnqhX1NF9giRk33N+DMyGk06cDb9f4H6OUWfvlTmFzalqeNir17NCgP1Xs295ete9ua3seditXj/YuUW5Mrb2VvPtn3WqivAEzIS9MPxH7T3/F79P3vvHR7XeZ9p3+ec6QWD3gESYAMJAmBRF6leLIl0LMuO7XVixT3JZncdJ5vNfok/x7ubOF4nX5zmrtiOkziOLMs2KRfZsi2ToiRKJAGQBAl2Er1jejnl/f44gxkMCgmSqOS5r+vwtCnvDAenPO/zPj8ARVLYWb2TR1c/it/hX7J2Wdx8hFNhvtT2JS6ELqBIMr9Rdhe3Boeh+yBokzq5CutN4bz2TvBcvsPnPV9+jVfPjWTWf+/+tfzhoxsW6iMsKKmuLka++gzawABIEoG37sb/6KNI8uWLL9+sWCL6ImKJ6BYWFhYWFhYWFhYWFiZdozGeP9LD9+aYcx5w29nVXMHbt1WxrbZgXp3GZ4ci/O3PTrOnvXfWOI4Sv5P/fN8a3nN77YxRMRbzz7mhCJ/+0Ul+2jEw435ZgvfcVsvvP7x+2ReFDSdUDpwdyRQo7RmPX9XzGyvzuHd9CfesL2H7qgLsiowQgp9e/Cl7zu7JZDx/sOmDeO3X3rE0n5wLnmPP2T2cHjMjMhyKgwdqH+CBmgdyc6gtLBaA/mg/X2j9PCOhLjzJCB9RnaxVJ3XSekvMqJbVOyBQNafXNAxBy6deJJzM1kL48m9u55HGlRVbJIQg+qtfMf6d7yBUDSU/n6IPfgDnOqsw8OWwRPRFxBLRLSwsLCwsLCwsLCxuZoIxlReO9vH8kW7euDB2xcfbFYkHGkp5cms19zeULLh43dkf5nM/O8WPjvXP+piKgIv/8sA63nlLNXbFcustBOOxFH/70mm++erFWd3b96wv4U8e38iG8pXnbBZCcHYomnGpv3ZuhOQcoosm8Dlt3FEfwFPyKlH5FG67ws6qnTy1/ikz43kZIYSgc6yT75/5Pl3hLgA8dg+PrnqUe6rvwa5YdQcs5p/T3a/y5cN/SzwyQLGm8TtKCWWSHRw+WHUnrL4HitfBVXbGnh2K8OBfv5yz7bX/+SDlgdlHiiw3jFiM0W/+C/EjRwBwNW2m8OmnUXy+JW7Z8scS0RcRS0S3sLCwsLCwsLCwsLjZSGkGv+wc5PkjPbx0YnDWgp6T2b6qgCe3VrGruYJ8z9xyzueTYz1BPvezU/zsxOCsj6kpdPNfH1jHk1ursFli+ryQ0gy++dpF/u6l0wTjM8f6rCv18SdPbOS+DaWL3LqFI6HqvH5+NF2gdJCzQ1cYmSHHcBb/AtkxhECi2LiXR+ru5571xdxRX7RsIm0mI4SgbaiNPWf3MBAzRxYEnAEeq3uMOyruWHbiv8UKJBGEi69ysPN5/nX8KDqCOsnJR+wV+GvuMB3n5dkCodfC80e6+f1vt2XWS/1ODv7JQ/PR+kUhee48I898FX1kFGwK+U8+ie+BhS8+fKNgieiLiCWiW1hYWFhYWFhYWFjcDAghONI1zvOHe9jbPrec81VF2ZzzVUXLI47iyKUx/r+fnmLf6eFZH1Nf7OW/PbSO3c2VV1UI0iKLEIIXOwb49A9PcGEkNuNjirwOfv/h9bz71pobvtOiazTGr06bLvVXzowQmRQdIdmHcRb/HEmJIQwnqZH7MJIVmf1Om8zt9UWZAqVrSrzLSiDTDZ2D/Qf54fkfMpYwR6MUu4vZVb+L7WXbl1VbLVYAagJ63oTz+xB9bfzIGOeHRhCArXlreF/TB7DX3gl297y83af2HOdrr1zIrD+0sZSvPn3rvLz2QiKEIPyznxH83vdB11GKiyj64Adx1tUtddNWFJaIvohYIrqFhYWFhYWFhYWFxY3MpZF0znlrD+fnkHOe7zFzzp/cWs222vxlK6AdPD/KX7/YyevnR2d9zPoyHx9/eD2PNpYv28+xHDnWE+T/vNDBa+dm/m4diswHdtTxu/evIc9180V/qLrB4YtjvHxqiJ+cfZUe4ydIko6h5ZMafgChXV5bqMp3c++GEu5ZV8Lda4vwL5PvUDVUXul5hR9f+DGRVASASl8lb13zVhqLGq2/IYvZMXTob4cL+6H7DdCSaELwb8YoB22Ap5CH17+Ntza8Z95/R0994QCHLmajyD7+8Hr+64PLO0dcj0QY/fo3SBw7BoB7+zYK3/teZI9Vl+BqsUT0RcQS0S0sLCwsLCwsLCwsbjSCMZW9R3t5/nAPb168cs65Q5HNnPNtVdy/oRSHbWW4ioUQHDg7wl+/2MnhS+OzPq6xMo+PP7yeBxpKLSHwMvQHE/zVi508d7h71mKuu5or+B9vaaCm8OYWe4QQvHD+BX58/sckNQOXsQoxfi+vnA7NaZTHBDZZYtuqgoxLfVNF3pKPnkjqSX5x6Rf87NLPSGgJAOoD9exes5t1BctbnLRYRISAkbNwYR9cPADJUGZXzFvEV50GpyQNye7m3Rvezd1Vd897EzTdYPOf/YSEmo0k+9r7b+X+ZRwtlTh1itF/+hr6+DiS3Ub+r/863h07rHPTNWKJ6IuIJaJbWFhYWFhYWFhYWNwIpDSDX3QO8vzhHn5+cm4557esKuDJbVXsaqok4FkebthrQQjBLzuH+OufdnKsJzTr47bU5PMHj6xnx9piS7CYRCyl8eVfneNLL58jruozPmZLTT6f2LWR7asKF7l1y4+knuSbHd+kdbAVgAdrH+TX1v4asiSjG4JjPUFePjXEy6eGOHJpjFnqsM5Isc/JPeuKuXdDCTvXlVDoXfz6AxNE1Sg/vfhTXu56GdUwOwY2FW1i95rd1PhrlqxdFktMqM90nF/YB5GB7HZnHqy6k+GKJr5w6UcMxAZxKk4+2PRBNhVtWpCmnOgL8djf7svZduhPH6LI51yQ97sehGEQ+tGPCO19AYTAVlZG0Yc/hKO6eqmbtqKxRPRFxBLRLSwsLCwsLCwsLCxWKkIIDl8a5/kj3ext72N8Dg7Y1UUentxazZNbq6gturHcxBM53v/fi6foHAjP+rjbVhfyB4+s5/b6okVs3fLDMATfPdLDZ39ykoFQcsbHVOW7+R+PNbC7ucLqeABG4iN8uf3L9ER6UCSF92x8D3dU3DHr44MxlVfODqcLlA7RH0rM+b0UWeLO+iKeaK7g0cbyJRPUg8kgPzr/Iw70HsAQZufc1tKt7KrfRZm3bEnaZLHIxMfh0qumeD5yJrtdcUD1rekCoc2cj3TxpfYvEUlFyHfm8ztbfocqX9WCNes/3ujij55rz6xX5bt55Y8fWLD3u1b08XFGvvZ1kp2dAHjvvIP8d78b2bn8xP6VhiWiLyKWiG5hYWFhYWFxrSRUnZdODNLRF2RTRYAHGkpxO5SlbpaFhcVNwMWRqJlzfqRn1qKPkynw2NndUsnbtlaxtWb55pzPF4YheOFoH3/zs1OcG5o9B37H2mI+/sh6ttUWLGLrlgevnh3hz3/YMatz3+e08bv3r+EDd9fhslvnNoBz4+f48tEvE0lF8Dl8fKTpI9Tn18/5+UIITg1EePnUIC+fGuKN82NzGjECpqB+15oinmgyBfWCJRDUh2JDvHDuBQ4NHEIgkCSJOyru4PG6xylw3Xx/Qzc8agK6D8KFV8y883QHCpIM5c2mcF59K9hdALQOtvKN499ANVSq/dX8dvNvk+/KX9Am/snzR/nX1y9l1h9vKufz792+oO95tSQ6Ohj52tcxwmEkh4OC97wb7513LnWzbhgsEX0RsUR0CwsLCwsLi6thwvX53OFu9rb1EkpomX0eh8JDG8vY3VLJPeuLcdos0cHCwmL+GI+l2Nvex/NHenKKqM2GQ5F5cGMpT26t4r4VlHM+n2i6wfdbe/nbl05zaXT2zoYHGkr5+MPr2VwVWMTWLQ3nh6N8+ocneLFjYMb9sgTvurWWjz+8nhK/5ZKc4LW+1/jWiW+hC51qfzUfaf4Iha7ri7aJpTReOzeScanPpUMMsoL6ruYKHtm0+IJ6T6SHPWf3cGzYLIqoSAr3VN/DI6sfwe/wL2pbLOYZXUsXCN0H3W+CnsruK1prCue1d4I7P7NZCMHPu37O905/D4GgsbiRD2z+AE5l4Y8fu/9+P0d7gpn1P36sgd++d82Cv+9cELpOcM8ewj/+CQD2qiqKPvwh7OXlS9yyGwtLRF9EblYR/eVTQ8gSrCr0UpnvwqbcfBfUFhYWFhYWV0PveJznj/Tw3KFuzg3P7mqcwO+y8WhjObtbKrlrTRF261xrYWFxDSQ1nV+cHOL5I9384uTQnFyrt64u4Mmt1TzRVLGic87nE1U3eO5QN3//8zP0jMdnfdyjjWX8/sPraSi/8e4Nx2Mp/u6lM/zzqxfQZgnp3rmumD95YuMN+fmvFUMYfP/M93np0ksAbCndwm9u+s0FEQgvjkT5VTpLff+Z4ZxiibNhkyXuWlvMrqYKHmksI9+zeIL6ufFz/ODsDzgzbsZ7OBQHD9Q+wIO1D+K2uRetHRbXiRBmRMv5X5mRLclJUVi+Mli90xTP8yqmPVU3dL5z6jvs6zFzyXdW7eQd69+BIi+8kSSp6Wz+5E9Q9ezx7N8+dDt3rS1e8Pe+EtroKCPPPEPq7DkAvPfspOAd70ByLF2NgxsVS0RfRG5WEf2xv93HiT5z2J5Nlqgp9FBb6GF1kYdVRV5WF3uoLfRSU+i2XHQWFhYWFjctsZTGT47389yhHl45O8y1XnkVeh08trmcXc2V3FZXiCLf2DEKFhYW14c54mWM7x7uYW97H8H4lXPO64q9PLm1iie3VlFTeGPlnM8nSU3n22908Q8/P8NgeOYMcEmCXc2VfOyhdawp8S1yC+eflGbwL69d5G9fOj3rb2ltqY8/eWIj960vueGjfq6GmBrj68e/TsdIBwBvqXsLT9Q9cXXfka5BKgKpaHqKTJlHZ9gXRUtG6FID/DJSy7/1lnBaLQEu/742WeLutcVmhvqm8kXpRBNCcGL0BHvO7qEr3AWAx+7h0VWPck/1PdgVqyNv2RLqTRcI3T9DgdC7TPG8aI15UJyBpJ7kn47+E8dHjiMh8bZ1b+OBmgcW7RjS1jXOr/3jKznb2v/sEfJcS/ubi7e1MfqNf8aIxZDcLgp/4zfwbF9eETM3EpaIvojcjCK6EILGT/6EWGrmquuTkSSoDLhZNSGup+fmugePw7YILbawsLCwsFg8hBAcPD/Kc4e7eaG9j+gVzpeSBOtL/ZweDDOLsS+HUr+TJ5or2N1SeVPkEltYWMydC8PpnPPWHi7OIdah0Otgd3MFT26rpqU6YB1ProKEqvMvr13kC788y0g0NeNjZAme3FrNf3tw3YoswCqE4GcnBvmLH57g/CwjqAq9Dn7/4fW859Yaa3TyFAZjg3yp7UsMxAawSwq/ufYptgXWzCCATxXDp+zTZ/59XQ26IehNuXklvopn+8toV6tRufy9uF1JC+pNZuTLQgvqQghah1rZc3YPg7FBAALOAI/VPcYdFXdgky3tYFkQH4OLB8yc89Gz2e02J1TfBqvvNvPOr+AkH0+M88X2L9Id7sYu23m68Wm2lG5Z2LZP4ZuvXeQT3zuWWa8v9vLzP7xvUdswGaGqjD//PJGf/wIAx6pVFH3og9hKSpasTTcDloi+iNyMIvpgOMFtf/7SvLxWqd+ZI7DXThLaA26rx3lFIQT0tcL5feYJdM0DZuaZdTNmYWFxk9A1GuO5w908d7ibrtHZh/pPsLrIw1PbqnlyWxXVBR6Gwkl+fKyPPW19HLwwOqf3rMp3s6ulgt3NlTRW5lkCmIXFTchYNMXeo308f7ibw5fGr/h4h03m4Y1lPLm1ins3lFhRUddJNKnxjVcv8KWXz83q0rbJEu+8pZrfe2AdVfkrI6LiWE+QP3/hBK+eG5lxv0ORef+O1fzn+9cuuWtz0dA1UGcQu5ORaUJ4Z6yHZ4LHiekp8gV8VCqkRrqeGAYJ7G5weMHhS8+94PSbc7snd7vDCzYXjJw2c6n72jJivGYIBmNwMFHD80NlHFbrCHP5Th67IrFjbTFPNFfy8KayBb1X1w2d1/tf54fnfsh4chyAEk8JT9Q9wfay7da1zlKgxqHroOk47z8KpKVESYaKFjOqpeqWTIHQK9ET6eELrV9gPDmOz+Hjt5t/m9WB1QvW/Nn478+28eyh7sz627ZU8rl3b130dgCog4OMPvMMqYtmkVP/Qw8SeNvbkGxW59FCY4noi8jNKKKfHYrwsX9v5cJIlPCkYmjzTYHHniOqryr0sLrYXC7yOqyT53IhGYZzv4TTP80dwgWQvwrWPWyeVO0r44bBwsLC4mqIJDV+eLSP7xzq5uD5KwvffqeNXS0VvGN7NdtqC2Y9l/UF47zQ3see9j7ausbn1Ja6Yi+70w71dWVWUS4LixsZM+d8kO8e7uEXnYM5ea6zcVtdIW/fWsVjTRUr2qyiGRrHho/xat+rRFIRqnxVVPurqfZXU+WrWpRCdDMRSqj80/7zPLPvPOHkzPdIDkXmPbfV8J/vX0tp3tzEpsVmIJTgr37SyXcOd88aQfZEcwV//JaGlRn7M5sQPhd3uDZzfM9UfmWEedYYQwCrJQcflksISAqzCuGzLk9at3tAvo4OLy0Fg8dNQb3nkOkmxhTUhyMp2hJl7Bmp5A21ngEuX+zUrkjsXFfCE00VPLSAgrqqq+zr2cdPLvyEqGqOhKjyVbF7zW4aixotPWCh0TXobzOF8+43QJ/USVi01oxqWXUnuK6umHLHSAfPHH2GpJ6kzFPG72z5HYrdS5NB/pbP/YqT/dn89k/s2sQHd9Qtejtib77J6L/8KyKRQPZ6KXz6fbibmxe9HTcrloi+iNyMIvoEQgjGYyoXRqJcHImlp2hmfbZhjfOBz2kzM9iLswL7RBZ7md+FbGXFLixCwMhZOP0iXHwFjPSNgt0DdfeYPdWXDmRPtDaneZJd+xAULv5JycLCwmI+MQzBq+dG+M6hbn58rJ+4evm4FlmCHetKeMf2ah7ZVIbLfnW1Qi6NxNjT3sve9r5MPZIr0VDuZ1dzBbuaK1ld7L2q97OwsFi+tHaN8x9vdvHCHHPO60u8vH1rFb+2ZeXnnI8mRjnQe4BXe18lmAzO+BgJiRJPCTX+Gqp8VdT4a6j2V+N3LF7H4ngsxVf2neNrr1yYNf7SaZN5352r+O1711DkWxrRfyqxlMZXfnWeL758dtbzWktNPp94YiO3rL68yLogCGHeW2hx815DjYOWMCc1kbtdjV23EH5Z7B5wTHZ++8DhQ7O7+U6wg/3hcyDbuLWoif+09m3YXflpIdx7fUL4fCEEjJ4zxfSeQzB2AUgL6uEkp+JefjRWzSGtnjOiCoPZ2+xQZHauMzPUH9pUtiCjEhJagl90/YKXLr1EQksAUJ9fz1vr38ragrXz/n43NULA8Cm4sA8uvmr+zUzgrzDNcat3gL/8ml5+f89+vt35bYQQrCtYx4ebPozHvjTnplhKY/Mnf5ITpfid375zUY9vIpVi7Nlnie7bD4Bz7RoKP/hBbAUFi9YGC0tEX1RuZhH9SoQTalZcH41ycTiWEdj7Q4kFe1+nTaa2cHIG+8Syl8p8l5XVdz1oSVM0P/1T88JrgoLVsO4RWHV3dghXMmxW5z79Uwj3ZR9btNZ0p9feaYrrFhYWFiuEc0MRnjvczfOHe+gNXvk8tq7Ux1Pbq3lyaxVl8+Q4PDMYZk9bH3vaezk3NHM+7VSaqwPsbq7kieYKKldIjICFhUUuqm7wZz84zr++fumKjy30OnhrSyVPbq2ieYXnnBvCoGOkg309++gY7kCkIwR8Dh93VtxJtb+a3kgvXeEuusPdhFIzdzQGnAHTre6rzgjsxe7iBf1uRiJJvvjyWf751YskNWPGx3gcCr9112o+ck89+Z7rifq4dgxD8PyRHj77k85Z79EqAy7+x2MN7G6uvDqzkq5mxe7MPJYVvbXkzNvVxJTnpOdi5u/xmpgmhM/kCJ/qCp9dCI+qUb569KucHjuNhMRb176Vh2ofWhl/f9HhrKA+cBwMLSOoX4zI/DxUxZtaPcdEHUlm/506FJl71qcF9Y1l+OdZUI+qUV688CK/6v4VqmF2Im4q2sTuNbup8dfM63vddAS7swVCo0PZ7a5AtkBoYf01R7UKIfj+2e/zs4s/A+DW8lt578b3LmnO/ZsXRnnHF1/NrMsSHPvUo4tWt0/t62PkK19F7e0FSSLvLY+St2sXknJ1ZhuL68cS0RcRS0S/NhKqzqXRGBeGo1mRfcQU2XvG4nMqrHYt2GSJ6gL3jBnsNYVunDbrgDUjoV5TDD/3S/MCF0C2mSfUdY9cPvtcCBjsMJ/f/cZ01/q6hyFQvSgfw8LCwuJqCcZV9rb38tyhuWUNB9x2fm1LJU9tq15Q8UoIwYm+MHvae9nT1kv32JUz2AFuWVXA7pZKHmsqp9S/PKMELEyGYkMMxgZZHViN126NJriZGY+l+N1/PcyBszNnU0M653xTGW/fWsU961d+znkwGeTV3ld5pfcVxhJjme3rC9azo2oHzSXNM4ovwWSQ7kg3PeEeusJd9ER6GIoNZcT3ybhsLqp91VT5qzLCeoW3Yt5FncFQgn/8xRm+dbCLlD6zCOx32vjgzjo+sKNuUfPFXzs3wv95oYNjPWbng4KOi1RmKnDo/OYtZbytqRCnSF3ZAT55m5bMXvfPNzYn2NymeWemucNz+ZiUeXaE90X6+FL7lxiOD+NQHHxg8wfYXLx53l5/UUnFoL/djH3pPQKpCJpuMBxJ0RdWeSVcxiF9DW3GGkaZXf9w2GTuWVfCruYKHtxYOq+C+nhinB9d+BEHeg8wIWltK9vGE3VPUOYtm7f3ueGJjaYLhO6HsfPZ7RMFQut2QtnmKxYIvRKqrvLPHf/MkcEjADxe9ziP1T225B1Mz+w/z//e25FZbyj38+OP3bPg7yuEIPbaa4x9698RqRRynp+i978f18aNC/7eFjNjieiLiCWizz8pzaBnPG661oejXByNZQT27tH4rBef14skQWXAnXGuryryZPPYizyL1iO5EAghSGoGKd0gqRokNZ2UZpjbcuZ6ZjmlpsgbbqNscB/5oU4MIRACQkoBJ3x30OHeRki4SU16zsRclsDtUPA4bObcruBxKOTLCTZE32BN6DW86iiKLKHIMsmC9cRW3Y9edRselwuPQ8k8X7GieSwsLBYZTTfYd2aY5w5182LHAKlZHIQTKLLE/RtKeGpbNQ9sLF30DlkhBG3dQfa09bK3vZeB0JWHqssS3FFfxO6WSt7SWE6Bd2kckBZZhBD0RftoHWyldaiV3tBFUBNIdjfVgToaChtoKGygPlCPXVm5edYWV8e5oQgf/MabnB+eeeTJ7XWFvH2bmXO+0os7CiE4OXqSV3pfoW2oLSOOeewe7qi4g7sr774mgSyhJeiN9NId6c441nsjvehiemSJIilU+Cqo9pkZ6zX+Gip9lbht1z+Kp2c8zj/8/AzPvtmFNotjKOC285F76vmtu1bjdc7h3kPXJgnaUx3fM8zTy+OhEK+f7qFveBw3KVySKZormN+JBFTmu6kv8c7POU2xp0Xu9GRzXd18YnlifRm5u48NH+Nrx75GUk9S5C7io80fpdJXudTNmh8MHYY60y71NyHcj6obDEeSDIaStEbyOazX0yrWclGUYf5ypuOwydy7fkJQL8M3l9/2HBiKDbH33F4ODRwCQJIk7qi4g8frHqfAZcVhTMMwzBHiw52meN5/jGyBUCVbILT6lnkbMR5Ohfly+5c5HzyPIim8d+N7ua3itnl57evlY/9+hO+19mbW37m9ms++s2VB39NIJBj71r8Te/11AJwNGyh6//tRAleXK28xv1gi+iJiieiLi24I+oLxjKh+aSSWk8l+pVza66HE78wpcrqqOO1iL/QS8Mx80yKEMIXrGcTqaeK1Oknk1g2Sqp5Zn138nstjjKvqeAgQ4R65nXuVdvIxi2wIJNqNen5hbOGYqGO2C6S5I2iULnCf3MYW+QxS+uQdwc1+o4mX9WaGMC98HDYZT1qIzxHm05PbbssuZ+a2jHA/8ZzJ+z128zUctpXt0rKwsJhfTg2Eee5QN88f6WEwfGUhemNFHk9tM7OGS/zLI57KMARvXBhlb3sfPzzaN6f6JDZZYse6YnY3V/Jw48LkmVrMjBCCrnAXrUOttA62MhgbBD0FkQGk6DBFQmYYzbyZTbso7a581hRvZmPRJjYUbqDKV7Xkbi6LheHAmWF+518PT8s+d9pk/vP9a3n7tiqqC1Z2zjmYIsurva9yoPcAw/HhzPb6/Hp2VO5ga+nWee840gyNgdgA3eFuc4qY87g286ieYndxpnhpjb+Gal81AedVih5pwbt7aIyvvXyCXx6/hF2ouEjhRM0I2U5Uipw6D63P57ZqN3YjlRXKM07v9HSVTm9VNzg/HKV7LI4xixRQ6HWwtryAPL9/ipjtme74tjln3p4zd123k3U5IoTgpUsv8f0z30cgWJu/lg81fQifw7fUTVs4Qr3pwqRvwtApVF3PCOpnow4Opx3qJ0UtKjML5Q6bzH3rS3hiHgX17nA3e87t4fjwcQBsso2dVTt5ZPUji1oPYVmhpSDYZTrMxy7A6HkYv2ReY0ymeL0Z1VJ7B7jmV88aiA7whbYvMBwfxm1z8+HmD7O+YP28vsf18MBf/ZJzkzqo//fbNvObd6xasPdLdXUx8tVn0AYGQJIIvHU3/kcfRVoOdRJuciwRfRGxRPTlgxCCoXCSCzMI7BdGooQTCzScEMj32CnwOHLc3BMi9spA0CB1cZ/cyjb5NDJmu8N42Kc38bLRwggL0ztaQIid8jHumSTaAxwXq3lZb6FVrL1sMZvrwSZLkwR5G257rhg/1UnvnirGzyjim+tOm2yJGhYWK4CxaIoftPXy3OFu2rtnLlQ3mSKvg1/bUsVT26torFzerhFNN3j13Ah72nr58bF+QnM4DzpsMvdvKGFXcyUPbixd0aOwlitCCM4Hz2eE89HEqLlDT6FEBmmIRdiKkybJjdddRDA+QqdIcEIk6BQJQuimYywdS+DzltBQtp0NJU00FDZY7rsbhH97/RL/7/ePTXMsl/qdfOV9t9BSk780DZsnhBCcHj/NKz2v0DrYmnGFu21ubi2/lR1VOxbdzSuEYCQxYorqoUt0By/QHe5iPDFqZnELA4RuujmFjl92UG3Po9rmo0bxUCW7KDUkJD05s+g9RfCOpjTOD0UZCCVmCJsxcdpks65TgRvlcteVsi0tdM8sZms2FwcuRNnTMcpIUiaBg4RwmPP0cnlRPh97SzM7N1UjrcDRLkII1K4uEidOIjQVJS8Pxe9HzstDyctDzstDdszPqCtVV/m3k//GG/1vAHB31d28c/07lzTfedFJBM24l55D0NeGmowzHEkyEErSFxUc1VfRKtZy1KgnzMydfU6bzH0bSniiuZIHG0rnNvriMpwbP8cPzv6AM+NnAHAoDh6sfZAHah+Yl9Eky5ZkxBTKJ0+hnplrCCgOKFgFlVth1Q7wL0z8zemx03yl/SvEtBhF7iJ+p+V3KPdeWzHShSCUUGn+sxdztn3/P9+9IOdWIQTRX/2K8e98B6FqKPn5FH3wAzjXrZv397K4NiwRfRG5mUX06MGDKIF8nOvWLvveMyEE4zE1x7V+cSSaWZ+LU+9GxE2Cu+Tj3Ce3USFlczbPiGp+oW/hkFiHNouLYL6RMWiWznGf0kqjdCHjTg/i41d6E78ymhm7TO7eckOWwOOwUeC1UxFwUxlwUZGfngfcVOa7qcx3EXDbLbHdwmKRUXWDX3YO8dyhbl46OYCqX/5yyK5IPNhQxlPbq7lvw8rMGk5pBvtOD7GnrZefdgwQTV155JbbrvDQpjJ2N1dw74YSq27IdaAbOmfGz9A21EbbUBvBZLbDxiEEm1IqW8YHaBQO3JJsOsM2P2UOrU5FYeQ0DJ1CDHXSN9zBSS3ESRHnjEiSmpDfbG5weinzVdNQvp2GyttYV7Ael83Kvl9JaLrBn//wBF975cK0fY2VeXz16VuoCKxcMSiqRnm973X29+w3R16kWZW3irur7mZ72XacylWO7MlEmiSnF6uc6tzObL/CYycJ3hGh041Kt0iZEyoDQp1R+HYgUS05qMZuziUHFdixT77WmxC806L3aErhtYsROoZSGVE7iZ2kMOcJHHi9Pt52az33b67F7vDkOsFtLlBmvl4XQvDSiUH+4ocnchyXkynw2Pn4w+t59221K+78pkciJDo6SBzvINHRgREOX/bxktOZFtT9KP7sXMnzI/vzUAJ5yH4/Sl4ektM54zV6MBnkK+1f4ULoApIk8c7172Rn1c6b+3peS8HgcVNQ7z6EGhlmKO1QH4mmOG1U0mqspdVYQz+FzDSq2WmTuX9DKU80V/DAdQjqQgg6RjvYc3YP3eFuwIyEenT1o+yo2nH1x5flhBBmjvmEu3xiHh2e+fFOPxSshoK69Hw1+CvmtR7ATLzR/wb/0vEv6EJndd5qPtry0SUbERBNavSHEgxkpiT9wQRnhyLsO5393uyKxLFPPTrv17pGLMboN/+F+BEzD97VtJnCp59G8d3AI1ZWIJaIvojcrCK60HV6/+h/YESjyH4/7i0teLZtw7luHZJt5fXAhxNqRlyf6mKfrUr9SqZGGuA+uY275A5csoYsgSo5abM18abjFsYdlThsMs6cSclsy50rkx5rLuuGQSylE0vpxCfmqjZlm5benrvNEFDCOPfI7exQjuLHLGQqkGgz1vBLo4XjYjVigdzpi43brlCR76Iy4KZistCe76Yq3xTcr9eVYWFhYXK8N8hzh3r4fmvPnDpPm6sDvGN7NbubK2+ozPCEqvOLk4Psae/lpRODJOcwasrvtPFIYzm7Wyq4e23xihNalgLN0Ogc66R1sJWjw0eJpCKZfU7FSZN/NVtCw2zq68QxIceVboTN74Cyxtkzfw3dHJI9fBp16AQXBls5Ge3lpEhwSaSywp5sQ3b4WB1YzcaybWyouYdVBWtRbsBYhRuFUELlv37rCL/sHJq279HGMv7mXVtW5OiQidEX+3r2cWTwCFpaoHYojozrvMZfM/OTtRTEhiE6BJEhczkyaK7HRkw37EIVr4RcwdvmzESbpBQ7Pah0Gwm69RjdWoReNYyKAEk240skBSQZWbZT7i2nOq+G6rzVVAdWUe2rxmPPdece6wnyNz89xUsnB2dpDNQWevhvD67jbVurrlg36HhvkD9/4cSsBWkdisz7717N796/loB7ZTjPhWGQunCBxPHjJI53kLp40RQW00hOJ66GDcj+PIxwCD0URg8FMUJhhKpe5pWnI9ntpsieF8iI7OP2FD8Z3s+oLQl+L2/f/j421GxFcrtvbhF9MkKY4m63maOuDp9jKJxkMJxkNJqi3wjQKtbSaqzljKiaccSxyy7zQEMpjzeZgvq1HPeEEBwZPMLec3szHXZ22c6Gwg00lzTTVNy0vKNeDAPCvdkolgmH+aRriRy8JVBYB/mrzHlBHbgLFrV+gBCCn1z4CXvP7QVgS+kWnt709ILUcVF1g6Fwkv5QgsFQgv5ggoFwkoFggoGwuT4YShJOzu380Fwd4Ae/t2Ne25g8f56Rr34VfWQUbAr5Tz6J74EHrGPFMsQS0ReRm1VE1yNRgt99jnhrG0Ysltkue724W5pxb92Ga2PDihTUp5JQdS6NxrgwnHaxj2YjYnrG4sxSF+iKTBaenbOI03MRrGd8nl3Gqcg47TIOxVx3oOEfehPPxV9gHzuDLJnnVCmvGtY/amahOZY2V3OiAGo8pRNTdeKJBHS/ifviz3GOnEA3BLohiNoLOJ9/J6d9tzJuuHPE+piqE58Q6Ce2pTTiqn5Ft+lyJc9lozJ/isgecFOR76Iq3015wGU5RC0sZmEonOT7rT08d7iHE32hKz6+1O/kya1VPLW9mvVly/jmap6IJDVeOjHAnrZeXj41NKfjZIHHzls2V7C7pYLb64qsAtCTUHWVE6MnODJ4hGPDx3LylT12D83FzWzxVrGh5yj2i69mh1qXN0Hj26Fs07W9cXwchk8TGzjKqf43ORE8S6ceM/PUM0i4HH7WBVazsXQrG1bdS2nhhmU/mvBmoWs0xge+/ganB6cLJL973xr+8JENyCvsby2mxnhz4E32de+jL9qX2V7tr2ZH1Q5uKbsFlxCmIB4dMt2UU5cTV47ZyjCL4J2NOZlUmNLmnJTpPdPj0vtncXjPhG7oDMWHMsVLu8JddEe6iamxGR9f6Co089X91ZlCpvnOfI50jfM3Pz2V45KcSn2Jl489tJ5dTRXTfheDoQR/9WInzx7qZra7/cebyvkfb2lgVZF3zp9vqdDHx0mcOGEK5x0ncu49AezV1bgaG3Ft2oRzTf2M959CCEQyiR4MZcR1c25ORjg8aVsYkZxeFyWYDNId6cYQAqfiYFXeqoyrWbLbkH3+6S73TKRMVoiXvZ6bS0SLjqQLkx4i1dvOcDCaEdQjwkmbUU+bsYZjoo4E013iLrvMgw1lPN5Uwf0NJVctqOuGzuv9r/PihRdzai5ISNTn19Nc3ExzSTMlnpLr/qjXjJYyO8cnu8vHL4I+Q8ePpECgKussL6gz41kcS/u3rBka3zr5LV7vMwtmPlj7IG9b+7ar/q1PJAj0hxKTBPIkA+HEJIE8yUg0Oevx7Vr4rbtW82dvbZyX1xJCEP7Zzwh+7/ug6yjFRRR/6EM4Vq+el9e3mH8sEX0RuVlF9AmEppE8fZrY4cOmoD5pCJ3sceNqasazbSuujRuR5imDbjmR0gx6xuNcGImSSOmmeD1N3J4uhjuURczLjgzCmZ/B2Z9DMv3/IylQcxuse8R0vV1HW4QQpIwU4VSYUCpEJBUh4AxQ66+d388Y7DE/x/mXzaHtkP4ct8Lahy/v2kuj6kZGVJ8msl9WhJ/ZST8h9sdS+pLn3xf7HKawHnDlCO4TbvZSvxOb5Ry1uElIajo/PzHIdw5188tTQ+hX6O102GQe2VTGO7ZXs2Nt8U37txKMqfyko589bb0cODtyxe8NzKLbTzSZgvrWmoIVJ/LNB0k9yfHh4xwZPMLxkeOkJhXt8jv8tJS0sKV0C2txYTvxfbj4Kkz4xSu2mLEtJfNcaEtXYewCw72HONl3kJNjpziVGiNG7rmqwOahIa+OhtItbKjZia+08apEQ4v54Y0Lo3z0m4cYnTJCxqHI/OVTTbx9W/UStezauBi6yP6e/Rzqf5OUFgc9hd0w2O6pYIejlFWqhhQbNoXy2VyVk7E5TZeltxS8Rel5CXiLwZWfjTZZhr9dIQTjyXG6wl30RHoyAnumFsIUvHZvRlQPh/N4/o0ER84bMMsIzIZyPx97aD2PNpaRUA2+su8cX3z5LLFZIrtaqgP86a5N3Lq6cL4+4rwjNI3kuXNmRMvx46jd3Tn7ZY8b58aNuNPCuZKfP+9tMJJJjFAIPRxGD4Z47fRLtJ9/FWdMo0YqYKt7A3I0jh4OIeJXOWrZpqD4/LlRMhmR3Z+T5S77fDeW4K7Goa8det4kdelNhkdGGAglGYulUIXMSVFDm2EWJ52pHpfbrvDAxlKeaKrg/g2luB1zNxEJIeiN9tI+1E77UDtd4a6c/RXeCppLTEF93u9jJ5MM52aXj543C7bOFBBlc5rO8oxgvhoCNWBbXrpKTI3x1aNf5dTYKSQk3rnhndxTfc+0x8VTOgNpcXwiXmWqQD4QSi76fXWR18He/7pjXqLS9EiE0a9/g8SxYwC4t2+j8L3vRfas/CLgNzKWiL6I3Owi+mSErpM8c5b4kcPEjxxBD2Ydf5LTibu5CffWrbgaG5GdKziLbCVgGNB3BE7/zCz4MnFS9hTB2gdhzQPm8K7Zni4MomqUcCqcM0XUCKFUaNp21ZjeSx5wBmgubqaltIW1+Wvnr9COloJLr8KZn8Lw6ex2fwWsfQjq7zXz3xYZTTeIq7nCeyylMRhO0jsepy+YoHc8Tm8wQd94nKHI/PaeXwlZgrI81zQ3+0Q2e0XATZHXcVMKYBY3BkII2ruDPHe4mx+09TIeu/Kw7W21+bxjew1PNFesmKHsi8VwJMmPjvWzt62XgxdG53S8qsp3s6u5gl3NlWyuyruxbvynEFNjHBs+xpHBI5wcPZlzHsx35rOldAtbSrZQn1+PPH4Jjn0Xug4ycT7WKrYxvHoX/bYqhsLJ7BQxhx8PRcx1TRe8bWsVH3toHS77dYw4EgIjOkTXpf2c6DtI52gn5+ID6JNu2iWgWnbR4KtlQ2kza6ruwl66Edz51/6+FlfkuUPd/M/vHiWl54oGRV4HX/rN7dyyjMVOhIBkCCJDJEO9vDnwBvuHW+mKD5nXa3qSchR2SD5uk7x4pFk6KB3erCjuLZk0pdcdvkWNJFgMYmosR1jvifTQF+1j6u25QBCKCS4MOOkf8WKkCjHUQkSqACbVLWqszGM0mqIvOLOgWxFw8T/e0sBbWyqX5bWeNjKSzjY/TuJkJyIx6XNIEo7aWlybG3E1NuJYtQpJWZwRmEk9yTc7vknrYCsA99fcz9vWvi0nFkukUhmxPdflHkYPhzBC4bTbPYQRi8/yTrMgyyh+n5nXPpHbnpculpqzbArwK2pkkaHD8CnofpPkxTcY7rvAYCjJaCyFEIIuUUqrsYY2sYYLopypOepuu8KDaUH9vqsU1AFGE6MZQf30+Omcv718Z35GUL/m+1ghzI7C8Yu5cSyx2fLL89IxLKuzk698wfPLr5eR+Aj/2Pp5uoK9GIaNO4vfgUNflRHIB9PRKgOhxJwK3C8UeS4bZXkuygMuSv0uygNOyvLMSNUd64qv7xorTeLUKUb/6Wvo4+NIdhv5v/7reHfsuKGvh28ULBF9EbFE9JkRQpA6d850qB8+gj42ltkn2e24Nm82HeqbNyO7V25xpGVHIghnf2EKzJMLjJQ3o659kHDxGsJaLMc1nhHD1UlieSqCmLFc0uzYZTt+hx+fw0d/tD/Hiee2udlcvJnmkmY2FW2av4IuYxfS7vR9ZhEoMIfy1t4J6x42C7Mt05NWSjMYCCXoCyboC8bpHU+kxXZzuS8YZ2wOIuB84lBkygOuWd3slQE3eW6bdSFgsawYCCV4/kgP3znUzZkZYhCmUhlw8fZt1bx9WxX1JVZRn7nQH0zwwtE+9rb3cuTS+Jyes7rIw+6WSna3VN4wsTjhVJijQ0dpHWqlc7QTXWSdnsXuYlpKtlDn24STMoYjKWJ9pyg4v5f80TZSmkFKNzgi1vNc8nY6ElcnjK4r9fG5d2+hsXK6M+9aSSaCnLm0j5O9r9E5epLe2EBOtrQdiXrJyUZ3GRtKmqku345Ush7ya828Z4vrwjAEn32xky/88uy0fevLfDzz9K3UFC6xc00IiI9NiliZGrkyRLcW5RUjwkERI5ke6WBDYqvkYYfsox4HkiswXST3lYBnQiS3HHpgxkH1RnvpCWeF9e5INyk9hUAwEklxdihCJKEBEoYWwEgVItRCU1xPFYHIvcb2OBR+9741fHBH/VWLjAuJSKVInj1L/NgxEh0daH39Oftlvx/Xpk3paSOKf/HPI2OJMb7U/iW6w90oksK7Gt7FXZV3XddrClVFj0QwgkFTeM9EyWQjZSYy3I3ozIVgZ0WSkH2+tIs97XIP5GGvqcXV2IjiW+bRPaFe6DlE/PzrjF44ymAozmhMRQhBEB+txhpajbWcFLWo5IraHofCgxvLeKKpnPs2lF61IBpVoxwfPk77cDsdIx3T7mMbixoz97EzFus2dLP9Y5PE8rGLs4+08ZWZESyTC34ucn75XBBCEIpnC3P2h3IjVXoil+iTfkBSRBGah+Twgwi1aFHb6FBkygJOyvwuygIuyiYJ5NnJuaD1RIRhEP7xjwnu2QtCYCsro+jDH8ZRXbVg72kxv1gi+iJiiehXRghB6vwF4keOEDtyGH04W9xGsttwbtyIZ9s23M3N1jCXq0AIQVyLE06FCA0cJXL+l4T72wkJlbDQiSgK4UAlIV8xEQwS2tUXSPXYPeQ58kxx3O7D7/CT58jD5/DlzP0Of44wruoqp8ZO0TbURvtwe04xNZtsY0PhBlpKWuavoIuagAv7zc6DsQvZ7fm1ZtTL6h0r8gYtntLpC2Zd7FPd7H3BBJE5FkuZLzwOJVdkD7ipyjfz2U1nu2tFFj2zWFkkVJ0XOwb4zqFu9p8eumJtCrdd4bHN5Ty1vZo764uWpQtvpdA1GmNvex972nrpmEPGPJiC4O7mSna1VFJXvMxv4qcQTAZ5vfcwr/ce4tTYaZKqTlI3SGkGsl6ATa0jGallLORjJJJCMwT1Ui+75Vdpks8BZmHsN4wNvKDfQQ/XnrlqVyQ+/vAGPnJP/YLk0AcTQTp7XjFF9ZETBGMjMCnT3YfCBslJg81PQ9FmCsqazBiaonXgtDqkroZoUuP3v93Kix0D0/bdv6GEv3vPVvyuRRgdY+gQG00L4oNpgXw4uxwbmbFoZ0oYHBYx9osIF0QKFDsoDkqcBewobOT20lvwBarSsSvFZiSBxTVhCIOh2BDdke5MzvrB7jN09A8QneEa0NDyMZIliFQpTzS08P88cgdl8xBRMB+og4Mkjh0n0dFBsrMzt9CnJOGorzMjWhobsdcuYJzGHDgXPMdX2r9COBXG5/Dx4aYPsyZ/zaK2QWgaRiSS63IPhrLu9sw8jBGJcNkhY7KMc80a3C3NuJqasZeVLt4HuRYSIeg9Quz86wyfPsjIeCgjqKewc9xYTatYQ7uxhjC593jetKD+eFMF920ouWpBXdVVOsc6aRtqm1YUXJEUNuSvodlVRpPkIhAeNF3mwUuXyS+vznWXL4P8cjCvpQdDySnRKrnFOQdCCRLqzNEqsusSjqKXkSQdQy0gNfwQQp+/zyVJUOR1UpbnpDwvVyAvzXOZ2/JcFHjsS3qs0MfHGfna10l2dgLgvfMO8t/9bit5YYVxw4ro//iP/8hnP/tZ+vv7aWlp4e///u+57bbbZn38s88+yyc+8QkuXLjAunXr+MxnPsPjjz+e2S+E4JOf/CRf+cpXGB8f5+677+YLX/gC69atm3ObLBH96hBCoHZ3Ez98mNjhI2gDk24ebAquDQ24t23F3dKC4rv5bsg0QyOqRjORKRNO8cz6pDiVSDKEHh00b3zUSUMD7V7zhsVTCFOGzSqSgt/hnz7Zs8sTwrjX7p2XCBZDGFwIXqBtqI22obZpBV3q8utoKW6hpbSFYnfx9b2ZEDBy1nSnX9yfvZixOWHVDjPKpmhxL4AXmlBCpW88QW8wbs7H45nlvqApuC92rlzAbc8R2iciY4q8TvLcdvJctvTcjsO2vIcoWiwfhBAcujjGc4e72dveR3gOQ0Jvryvkqe3VPN5Ugc9pde7MN2eHIuxt6+MHbT2cHZqbY25zVR67myt5ormC6oKl69zUdIORaCoTozIYTmSWe8JDdMdOMKKdIk4fupE9hhpqIXpsNXp8FULLdYWvlbp5q3KATdJFwBTPXzM28oJ+B/3MnzPrttWF/PWvtyyoS1kIQX+0nxODrXT2vsbpkROkEkHTVZcuhloq2WnARYPkZF2gHnfJRlNUL94AeZXLzlG3XOgdj/Ohb7w5YyfUB+6u40+e2Dh/nSS6mnWOx4YhMsVRHh/NFredDUk2rym9JfQ73OzTxjgY7yUuAYoT2eaipXQLO6p2sL5gvTVabREQQjCeCPKt1lb+5c3DDCf6kOyjyDbzN1XgdbCu1I/fZcNtc1MXqMtMq/JW4bYtjqhuJJMkT50yI1qOd6ANDeXsVwIBsyDo5kZcGzYge5deWAR4re81vnXiW+hCp9JXyUebP0qRe3HdtVeL0PWM4G6EslEy+tgYyZMnUXv7ch5vKy/D3dSMu6UZR3398o6B0VUYOE7k3GsMnDhAcKSfsWgKgXmePSsqaUu71PsoZHLsi9eh8NAmU1C/d/3VCepCCNTYGOe6XqW97zWOjnQwnBxB0hIIQBJQg4NG4WKzcFGkeEn4aoj7aol5qol6a4m6y9CEDc0QaIaBbgg03VzWDIFuCFRdoE+s6wLVyK5ruvkYzTDSz5t4Tvq1DIGmZ19r4rWzrzvTuiCp6XO6jp4NxdeBI/8NQKAnqkiN3Ati7jntPqeNsjzTLV6e50qL4k4zaiW9rcTvxL7MaxQlTpxg5J++hhEOIzkcFLzn3XjvvHOpm2VxDdyQIvq3v/1t3ve+9/HFL36R22+/nc997nM8++yzdHZ2Ulo6vSf1wIED3HPPPXz6059m165d/Nu//Ruf+cxnOHz4MJs3bwbgM5/5DJ/+9Kf5xje+QV1dHZ/4xCc4evQoHR0duFwzDNOZAUtEv3aEEGi9vcQOHyF+5HDuyV2WcW5Yj2frVtxbtqCs0O9WCEFST84YmTJtUsPE1NiVX1SNZ91BQseFjF+24c+rJa9sM77AqowgnufIyzjI/Q4/bpt7SW9uJm7KJwT1qQVdKn2VNJc001LSQrWv+vramorC+V/B6Z9CqCe7vXANrHsIau8yC1Hd4AghMhmZvePxrKN9kpu9P5SYUwHBhcBtV8hz28hz2TMCe8Btz4jsk/cFpmzzu2zLvgCkEY+jDQygDgyiDQ6gDQygDQ0jORxm8aiJnEu/D9nvzw7D9echez2WGAH0jMf57qFuvnukh/PDVxZqawrdPLWtmrdvraa2aJmPQBHCjKJKRkBPgr9y2WdfzoQQgpP9Yfa297KnrY9Lo3M4l2Fm0u9uqeSJpgpK867/eDwx7HgokmAwJ2c8ydCknPGh8ETmava5ki2I4r6I4r6I7BjJeV0jVYIeX4UeW4XQp46eEjRIXexWDrBB6kpvkTlgbOIF/Q4Gmb3+CJjDkEv8Tor9Tkp8Tkr82SngtvOll89yvHe62Opz2viztzby1LaqRTlOaIbG+eB5To6coLP/TS6OnkKkIqaoriWRgDrJSYPkokFyscpRgFKywYxVK14PRWtvinPulWjtGufD//wmQ+FkznabLPG/fm0z/+n22qt7QS05a8yKKZKPXfk1ZJtZM2dyDrmvNBO1orr8tA4f5ZWeVzgzfibztEJXIXdX3c0dFXcQcM5fzJDF1aHpBt9v7eXZQ13ISoKHmmWKCsY5HzzPpfClnFgKMA0sFb4K6gJ11AfqqQvUUeIumZfjiBACra+P+PG02/z0adAmFTi1KTjXrMXVuAnXpkbsVZXL6jrHEAbfP/N9Xrr0EgDNJc083fj0/MVQLiHa0BDxo0eJt7eTPH0G9Oz/i+z14tq82XSpb9y4vKNWhYCxC4TOvkbvsX3EBs5kBHWAQZFPq1hLm7GG06IaY1JBXp/TRk2hZ2aBWjPIM4JUin4qjH6qxADVDFAghbNvjWDcZnDRqXHKJdFtl4njJI6DuHCS0IrR47Xo8VpEqpipGe43Bgb2/Dew+U4AoEU3oI7dzkThY5ssZeJTJseplE+OW8lzrXhji9B1gnv2EP7JiyAE9qoqij78Iezl5UvdNItr5IYU0W+//XZuvfVW/uEf/gEAwzCoqanhv/yX/8If//EfT3v8u971LqLRKHv37s1su+OOO9iyZQtf/OIXEUJQWVnJH/zBH/CHf/iHAASDQcrKyvj617/Ou9/97jm1yxLR5w+1v9+MfDl8BLVrkrgqSTjXrsW9dSvurVuwFVz+hnQx0A2dcCrMWHKMYDLIeHI84xCfmjU+U9HNyyFJEn676QjPCOGKG394EP9AB3nj3fgkmTwUfL4K7OvfsmTFNK+XyxV0KXAVmAVdis2CLsq15q8KAUMnTTG96/XssGS7B+p2msVI86/ypvUGQzcEQ+HkZd3sU2/4lws+py3H2Z4jyE9xvZvifHa/32mbl1gPoWloIyNpsXwAbWDQFMsHB3IKLF81sozs86L485D9aXHd5zeLSGXE9vQ2vw/JvbSdZPNJLKXxo6P9PHe4m1fPjVyxqKXXofBEcwVPbavm1tWFSxPXoqVMQTEZTs8nL0/algqn5xGzs29yVIIzD2pug5rboXQTKCvvJmOiwOve9l72tvfNWuRuMpIEd9QVsaulgsc2V1DozXUzJVQ9K4ZPFcfDSQbDSYbT26YWZ7xMS5HsYyjuS6Zwbp8sNkroyTL0eC1GfNUsw5MFjdJFdiuvslbqBkBHYb+xmR/pt2N4SyidEMSniOMT66V+1xXrTKQ0g8/97BRffPnsjLFFj20u5y+ebKLAO3cH2HwQU2OcGjvFydGTnBxqZzh0yfw9pyKQiuESsG6SqF6KHalwdVZUL9lgCrZXccwSQqzoY9yetl7+8Nk2kpNGh9nQKHMZfO6pBm6tdptGiYlJi5txdZnlSVMybEauJMOXecc0ij0dqzJL4c5ZcngHY4O80vMKr/W9RlQ1OzAlSaKpuIm7q+5mU+GmFf3/cTOgGRq9kV7OB89zPniec8FzjCZGpz3Oa/fmiOqr8lbhUOZ2TDFiMRInOzNFQSfXwQJQigpxb96Ma9MmnBs2IM/RqLbYxLU4Xz/+dY4PHwfg0dWPsqt+1w35GzdiMRIdHcTb2kkcP44Rm9TxbVNwrV+Pq6kJd3MztqLl7cAnOkLw7OtcbHuZZE87oWg8I6jHcNFu1NNqrOG4WE0c87cnY1ApjVAjDVIrDVIrDVArDeJm5nudQZHPJVFGlyjloijlkiglhA+UKIqrC8XdhezqQyJ7bBe6Gz1Rix6vwUhUAMunHsG1UuCV8JTsQ3J14bTJbM57iNtK76Uif6JQp4tCj+OGj0zURkcZeeYZUmfNyD7vPTspeMc7kByLex1mMb/ccCJ6KpXC4/Hwne98h7e97W2Z7U8//TTj4+N8//vfn/ac2tpaPv7xj/Oxj30ss+2Tn/wk3/ve92hra+PcuXOsWbOGI0eOsGXLlsxj7r33XrZs2cLf/u3fztiWZDJJMpk9wIZCIWpqaiwRfZ5RBweJH2klfvgwqYsXc/Y51tSbDvWtWxfkxK7qKuPJ8YxAPpYYI5gKMp4YZzxpTqFk6KoKbzoUR05syuQs8clZ436HH6/dm71gi47A2Zfg7M8nuYkkqN4O6x6F8qZlMVzaSCRQe3oyE7KCvbISe1Ul9oqKOTkaJgq6tA210THSkdP54LF7aCpuormkmY2FG+d8YT+NRBDOvWzGvUQmRQmVbDCz02tuB5t1ApyJiUKoEwL7RPFTM0rGXB5f5EKo14skmSL8VIf7TK73PJeNPC1OXnQcT3AEZ3AMZXgQbWgIbXg4x9EzFSWQh620DFtZGbayUuwlJQhNQw+FMSLpLMtwxMy2jEQxwiGMWHzW15sVm4Li86cd7v6s093nN0X4vLxc8X0Rs/omajjEtBhx1ZzHtBgJLYFTceK1e3ErHk72pfhx+zg/OTZENDX7dwrm/9/da4p5ansVjzaWz18Wv6FPEr6j5jxHBJ8qikcgGZo5C3OuyDbzA01+DYcPqrZD7e1Q3mwKYSsMwxAcujTGnrZefni0j+FI6orPUWSJ21YXIhAZgfx6hhznIpDsIyietOPcFpq0R8ZIlJuO8/gqMKYLPW67QqnfwR2uizxkvEKt0YvDJmO324nU3Iux4a0UllZS5HPM+xDkNy6M8vH/aKVrdPqxodTv5LPvbOHe9deet369DMeHTUF99CSnRk4Si49MEtWj5Os6GyUXG9KTX1LAlZ+Of0lPBXU552Czps554m3txNta0foHzL8TRUaSlTnMFTOiQFGQFAVkGUmRs9tlBcmmmHNFntMcWUaSBBI6GCoIFUloSGigq0jC3IaRQjJSkJ7aLw7S0TOMQ1JxSSoOWcUpqfgdEo01ATzOdGeKDJIsgcTcxTu7O1cUnyqSO/PmfK2oGRpHh4+yr3sfp8ZOZbbnO/O5u+pu7qy4k3xX/lX8MiyWG8FkMCOqT7jVtSm597IkU+Wroj6/nro8Mwam0FWIJEmZaM5EuiBo8uw5mBR5JdntONevN93mjY3YSkuXvRA9FBviS+1foj/aj122896N7+WW8luWulmLgtB1kmfPkmhvJ97WPi1yx15Vlc5Rb8KxevXy/r9U44ydfZMzrS+TuvgGiUgwc7euo3BaVOEiRbU0jI3p1xU6Cr2iiEtpodwUzktIMIfrZSmF4uo2BXV3N5KUvZ4Two6RqEKP1aInqq8q9mQxcNsVygOunHiVyQ7yUr8LpzPB145/ha5wF3bZzvsa38fW0q1L3fRFJ97Wxug3/hkjFkNyuyj8jd/As337UjfLYh644UT03t5eqqqqOHDgAHdOyhj6oz/6I15++WVef/31ac9xOBx84xvf4D3veU9m2+c//3k+9alPMTAwwIEDB7j77rvp7e2loqIi85hf//VfR5Ikvv3tb8/Ylj/7sz/jU5/61LTtloi+cGgjI8RbW4kdPpzp8ZvAsWqV6VDfthX7DLE+kxFCENNiGSE8mAgylhwzl9Nu8vHk+NwiVTBvbgKOAPnOfPJd+eQ58jJC+NTpqoYBCgH9R80imd1vZrMqXQFY86DpnPYujStACIE+PIza00Oquwe1uxu1p2faBddUlMJCU1TPTBXYy8tn7bFN6SlOjp40XerD7Tn/J3bZzsaijTSXNNNU3ITXfg35ibN9xw4f1N9nfsd5FZd9CYvpxFJatgjq5Jz2YJyR8TAjcZ3xhJHjwltu2HWVokSI4vh4eh6kMBGiKBHEpU0ZEi1JKLKEXZHA4SARKCSVX4xRWAwlJdjKynCWl+EL+KdE1tixKxKSJCGnhRJJAjm9LksSQtMgFoVwGCMaRUTCiEzWZRg9YgrvRiSMHgojklc/UsCMlPGZwnueH8VnRstMc737/SheL9jtMwrhMTVGVI1m9sXU7Pa4Fs/MZ+t4jKU0+oMJ+oIJEqopnAuhgOFEGE6E4cou607KfHncs66GhxtqWV1QiNfuxWv34rF7kCfXgRAiK+JlHOBzEMbVa+jAyHypsnkccfrSc/8s636zqJQzz9ynOEzxfuAYdB2E7jdMYX4CmwuqtkHNHVDRsiJjMTTd4PXzo+xp6+VHx/oJxher000gO4ZQPBeQ3ZeQlWyBMCEURKoSP2spdayjzBfIcYuXpjM5S3xOSnwOvEOtcOw5GDtvvoBiNztgN+42M6MXmHBC5X/t6eDZQ90z7n/6zlX88WMbcTuW1vFmCIOucBcnR0/SOdrJ2fGz6Fo8R1SvVjUa0k71NTixSxLINoS/lkQsQLxfJ3FhGD169UXRZ0QYIHRT7BO6+fc247ZJ67Muz/32SQDhhEZSm94p6FBk/C47soR57JAVcy4pacFeAcWGZLOl53ZQ7Eh2O0phIXkPPYTr9p1I81DUdSQ+woHeAxzoPUA4ZbrbJSQ2FW1iR9UONhVtuvYRgRbLGtVQ6Q53Z5zq54PnCSaDOY+xJzRWDwjWDciUdUfxJSRcNlfmnGsrK8tEtLjWr1tRjszO0U6eOfYMMTVGwBngI80fYVXeqqVu1pIghEAbGCDe3k6ivd3sIJl0vFMCebg2N+FubsK5cSPycv5/NgxGLh2l881fED13EDncm3MVmsBBV0YsN6deUYx+jY5xRTbvCWyyhCIb2FwD4LoIzkugxJBIX+sj4xRVuI16vKIep+zHpkjYZDn9XAm7Ik96LQmbMnmfhJJ+rPk8c93cLqW35z5/8utNfq1in4PSPBd+5+VHxPVEevhC6xcYT47jtXv5aMtHqQ/UX9P3tFIRqsr4888T+fkvAFODKvrQB7GVLJ15wWJ+sUR0Fk5Et5zoS4s2Nka8tZX44SMkz5zJnNgFAlFRhtpYT6ShmvGAkhHHxxJZoXyu0SoOxWGK4858As5AZjnflZ9Z9jv8uYLN9ZKMwPmXzdiR8KR8+NKNpuu8+tZFHdpvJJNZd3l3N6nubtSeXkRi5htaJRDAXl2NvaoKDB21txe1pxc9GJzx8UgStpKSrGM9LbDbSkrMG8Y0uqFzLniO9qF22obacoahSpLEuvx1GUH9mor+xEZNp//Zn5s58xOUN5niSNX2FRmpsKioCfO7y5lGc9fVGCCB04/m8JO0+YnLPqKSh4jkJSS8jBsuRnU3w7qL4ZSL0ZRMKK4SSmjmPK4SjKto15nfLgmD/GSE4niQokSQoniQ4kSIoniQvNTsmdtCkhhz+hlx5THiDjDiCjDkDjDqChByeBZlVMhksV2SJCTMdYeh4dWSeLW4OVdjeNX0uprAk4rjURN41DgeNYpiqEiSARgwdZ5eFgiQ9My2pB3iTiVnirkU4g6FuEshkV5POG0knAqGbLYPKZsKKWNDkVwokhMbLmJJmb5QCOQUkpwAOYk0g9huV6DCZ6Pcb8Nnl5CEZgpehpaezGW3EHgFeHUDr6HjRcYryeYcGQ8yPknJLiPjQJr55sHuyRW9ryiM+8znzMfvwNDNGKqu101RfXKusWKHyq3myJnKbeBY5rnvM5DSDF45M8yetl5e7Bggkpwvp/kEBn7/MP78HjOuxRbHYZNx2mTcdifr8zeytXQrd1a3UO7Pu/zQYyHg0mtw/Lswfsncpjhg3SOwcZcZhbHI/PhYH//zu0cZm2H0z5oSL59711aaqpdPRnVST3Jm/Aydo52cHD1Jb6TXFLBTMUhF8ESiNF+Ms7Y7SWG/jkvLHjMktxv3hnrcW2/B2bgVDBWRjEIqjkjFIJmeq3FEMg6pBEI1Y1BEKgmpOGhJhG6AEGaf+ZS5EAIMAQLEnObp56MgZBtgQ0gKSAoCGyAjkEnpEsd7IwTjOoaQEULCEBJCQGXAw/qyPCQk872vMTvXXlNDYNcTuJqbr9ohqhs6x0eOs79nPydGTmQ6OvMcedxZeSd3Vd617IspWsw/QghG4yNcPP4qI60HSXacQOkeyOk70u0yo9V5sL6e/Jbt1K5uoj5Qv+Ky8fd17+PZU89iCIPavFo+2vzRFfcZFhI9EiFx7Bjx9qMkOjpy7gElux1nwwbczc24m5pQ8vOXrqFzYLj3POePHyQueUj4a9DdpdhsyiSh2hSys2Jzdj0rUMuThOusOK1I0qzXEUIILoYu0j5sxpf2R/tz9tfm1Zr1wIpbKPeWLzun/4mREzxz7BkSWoJSTym/0/I7lHhuLuFYHRxk9JlnSF00rwH9Dz1I4G1vy9ErLFY+N5yIvpziXKZiZaIvPBPxKlOnyOgA0vHTeE5cxHdphEkxZEQKnfTV59NfHyBc6MoRNTx2DwXOghxRPEcod+YvbgHOkbOmcH5xf3Yov80FdfeYN+n5NQv69kII9JGRtLu8GzXtMNeGh2d2W9kU7BWVOKqrTNE8LZwrvpmdUEY0itrXZ4rqaWFd7e3FiM4iVtoU7GXlplt9QlivqMj09HZHujM56j2RnpynVvuraSlpobmkmUrvVRYrMgzoOwKnfwa9R2BCyHPlw5oHYO2D5rDomw01AfHRdIGy0Wyhssnrcxy9cdUoDnMExqRJOPNI2fxEZS8hPIQMN2OGhzHNSSipE4yphBIqoZhKIhiC4UGU0RHsY8O4g6P4wqMUJMIoxuxRITG7i2FXIC2U5zHszmfYFWDM5UdfFk48AVIKSU6ZorOcu0x6XZKTk7YlkaQUkqyCMLDrAm9Sx5My8KR0vMmJeXabJ2mY66qOnDN4QAIhZ+ZCyICc3paeC5mYzUnM5iZi9xK1eYgrHlS7A90uo9kVsEtgB+GScCspfFIcD3GcUgynEsWmxCn16xR6dexuibgkiAqDKDoxDKIY6XWDBMaM35TZXNmMS5FtaXdn7rKiOPDafXgcefhcAbzOAB5XAT6HH4/dk3G6e21efA4fHrsHj82DTV6ki2chYPh0WlB/zfybm0C2mVEvNbdB9S0rsjZGQtX5Zecge9r7eOnEAAl19v9Lh03OyRcvnZQzXui1EZe66Euc4Hz4BAk9e1xy2Vw0FTfRUtLCpqJNc4sEMwy49KrpPJ8oTm1zwfq3QMPj5jFpCRkMJfij59r5Zef0kWA2WeJjD63jt+9dsyyLLweTQU6fe5Pegy+TaGvH1zVi/s6FAYaO7pZRqtwUlSmsK/NTOJ9RRjan2dllc5lzuwtsbjMSxe6atC+9LbNv8nr6OZcpAny8N8iHvvHmtJoAsgSf2LWJ37orNxZBCAGahjAM0PXpc938boRugKYSb2sj/PNfZEYhOVatIm/XE7g2b77itc9YYoxXe1/lld5XchzHGwo3sLNqJ5uLNy/e8c1i2aAHg2aueUcHiY4TOdfphjBIlOQxXJvH+XKJ43khwvr0a78CV0EmV70uUEeVr2pZ/pY0Q+O5U8+xr2cfALeU3cJ7N74X+wqMTVsshKqSPH2aeLtZnFQfzc3Wd6xahavZzFG3V1cvOzF4uTAQHeDo8FHah9o5HzyfM0qz2F2cuY+tC9TNr1lvEkIIjGAQyeG4bD2lAz0H+FbntxBCsDZ/LR9u/vC1jQBfwcTefJPRf/lXRCKB7PVS+PT7cDc3L3WzLBaAG05EB7Ow6G233cbf//3fA2Zh0draWn7v935v1sKisViMPXv2ZLbdddddNDc35xQW/cM//EP+4A/+ADC/uNLSUquw6CIxU7zK5Czyq4lXscc1yi+GWH0hQWlvDAcKdtmOTbZjKy3FubWFwPbbKFyzCcdyyLzWUnDpgCmej5zJbs+vNYXz1TvMm7V5xnSX96L2dGeiWFI9PYj4ld3l9uoqHNXVZrbhdfa8CiEwQqFcYT0ttM8WSyE5HNgrKrBXVmBLi+vhQhfHUhdoHz7K2fGz0y5EmkuaaSlpufoLkchQNos+MXGDKZnuz3UPQcXWy948rxi05JUd5JdxZudgd4O7MF2kLD33FIKnyJzcBaZjOD5uxlQkQpAYT8+D5pSc2Bacc7600A3UsIYW0tASCmpcQYsYaGENQxUg282RBLLdjApQbOjY0BQ7WkERibxCYoEiQr58xr35DDv9jAmHKcTH04J8XCOYXp6/bGYDZNUUuqXUDEL4TOL4JCH8KmoyzEQ2LsWBMJwgHAjDMWlbdhndgUOFQFKlIJWgSI1SoEXIU6PkqTHytBheNY5XjeNRk7i0FIowUCQdBQMFAzk9zdoem4zhktFdMnavjYIiF8WlHtx5DhSvDdmWFsJncYFrDjcxm4OYbCMqy0QliYhkEEMQ1ZNE1SgxLUYkFclZ1sXlc9cvx0SW+9TJY/fgs/umL9s8199BK4QZJdJ10HRHTx61JMlQ1mg61KtvWRKH9PUSTWr8/OQgZwYj+F02M05lkmie58odcqzqKh2jHbQOtnJs+BhxLRvF47F7aClpYUvJFtYXrscuz1EcMXS4sB+OP5/9fu0e2PCYOS2jjgohBP/y+iX+/IWOGTsftq8q4G9+fQu1RUs/WmEiRzne2ka8rQ2124ykEUBKTzJe4OBSrZP2kgTDRekaAYYOqSilyDToEmt0yLP78Nt9+Jw+vI4Akt2dFcMvJ4BPbF8EYefF4/187NutxKbUdfA7bfz9f9rKfRsuHz84V/RIhPBPf0bkl7/MiumrV5O3axeuxtyin4YwODF6gv3d+zk2fCxzveS1e7mj4g52VO246dyFNztC00ieO5cuCNqB2tWVs1/2uHE2bEzHtGzCVpA9pwghGI4PZ7PVQ+fpCfdMi22zy3Zq82pzhHW/Y2mPoVE1yjNHn8lk/u9es5tHVj1iib5XgRACtaeXxFEzRz114ULOfqWgAHdzE67mZlzr1yPZrc6JmQgmgxwbPkb7cDudo505tQl8Dp9ZD6y4mYbChmvu4DGiUVI9Pen77Z6MmS0zqkBRUHxeZK8P2edD9nqRvV7a4qc5HD5Byq2wtqqFxzc/hTNQgOzzmeL7Df73IlIpxp59lui+/QA4166h8IMfzDkOWtxY3JAi+re//W2efvppvvSlL3Hbbbfxuc99jv/4j//g5MmTlJWV8b73vY+qqio+/elPA3DgwAHuvfde/vIv/5InnniCf//3f+cv/uIvOHz4MJs3bwbgM5/5DH/5l3/JN77xDerq6vjEJz5Be3s7HR0duOZYOdwS0WfGEAahZCjHOT5ZGB9LjF11vErAGaDAWXDFeBUjFjN7yY8cNoeeqdkTklJchGfrNtxbt+KoW4LiKOF+Uzg/90szFxRMYajmdlj/qFlYax7aJIRAHx3NxrB092Szyy/jLrdXVeKY7C73L+6FbqbdU4R1rb8v5/9xMrLHjb2yEr20iG5vgpOOEdqVfuKTYugnLkRaSlrYULBh7hciugY9b5r/ZwPHsts9xbD2Aai/f1FycK+JjEA+CrHhSeL4pPWJ3+CVsLmyYvjE5C3KFc3nM1JCCLP9aXFdJILo/d1ofd2o/f1oQ4OoQ6NooyH0UNT8f5oJCRSPDbvfji3Pjs1vzywreR4kd77pJnVOdrvn5brfnXmmaJb+u9QNQSSpZaJlJkT2jOg+OX5mkgA/nholYlxEtXUjO/tN8XwxhXDDgcOQcBsCjxB40PCQwCMlcZPEQxK3ZM7N5cSkZXOuMEfBWQgkTSCrAkkVyKqRmcuqwEhJ6JqMSEmQAjQQsoLX7STgdeNyOpGmuMblvHxsJSUoRUXYikuwFRWiFBZhKynGVlBwTfmrQghSRoqoGp02TeS8R9RIZjmqmfvi6uz57ldCkqSMq32q+O62u3EpLhyKA4fswKk4zeX0lFmXzXUZCYLdaYf669moEfOdzILJNbeb0xLV0VgIElqC4yPHaR1s5fjIcVJ6tlZBniPPFM5Lt7A2f+3VZTjrGlz4lSmeRwbNbQ6f6Tpf/xYzw36ZcnYowu9/u5X27unxaV6Hwid3N/LOWxbfGSg0jeSZM+nCoG25zkVJwrl2rVmwrrk5U9dGMzTOB89n8tQvhi7O+vcmIeF1eDMF2n12X3bZYS5PFHKf+DtbKGcfmMeUL/3qHJ/58clpl1o1hW7+6elbWVc2/9dVejhM+MWfmmK6al5XO+rqCOzeRaK+ktf6X+NAz4GcOLy1+WvZUbWDltKWuXcwWax4tNFREsc7SBw/TuLkyWkRjY5VtbgaG3E1NppFJJW5H0MTWoKLoYucD53n/Lgprse06UaoYndxRlCvD9RT6atc0L/LyfRH+/li2xcZjg/jUBz8VuNv0VxiuUqvF318nPix4ySOtpPoOJE5DgFITieuTZtMUX3z5kW/t1wpJLQEJ0ZP0D7UPs0U4FAcbCraRFNxE5uLN8/oBheahto/YArlvb2mWa63F31sbNpjAfO+ZgZNwBAG3ZGezCilUk8JpZ6ynMAxyW7Liu4+r1lTyedLb5u0np4Ur3dF1UlQ+/oY+cpXUXt7QZLIe8uj5O3adVXHQ4uVxw0pogP8wz/8A5/97Gfp7+9ny5Yt/N3f/R233347APfddx+rV6/m61//eubxzz77LH/6p3/KhQsXWLduHf/3//5fHn/88cx+IQSf/OQn+fKXv8z4+Dg7duzg85//POvXr59zm25WEV0IwZnxM9NF8oTpJA+lQsz15zU5XiXgDFDgKpi3eBUjHidx7Bixw0dIHDuWc1JXCgpwb9uKZ+tWHGvWLNzNpWFA72E4/SL0tWW3e4pNV/OaB65rWLiRTKZPlj2mwzydY27EZi6OpwTyTGd5VVYst5eXLetcL6HraMPDmd5zc+pBGxwyv98pGMIg7DTo9xucd4cZzVcIF7qIFLiQ3W42FW2ipaSFxqJGPPY5ir+hXjjzUm4HiKRA9XYzO728aVEcboA5kmGag3yKi3zOArnT/C3miOSFueuLlLmsR6Jog4NoA/1og4Oo/QPm+uBgzt/uVGSPG1tRPrYCP/Z8D7Y8Bza/gt0rIWmRtBg/4XgfNx3xV4Mkm2L6ZIHdmTdFeM/Pbrc5iKkxTo+f5uTISU6MnmA4bkZwCCHQDGEmFyCwyw5cihuXzWPO05Mzvc0hO811yYlLyLgNA5chcBkGDi0JagxJiyOpUWQ1iqQmzLkWQ9bMZVmLIWtxM8c3/ZFE+p/MUXqGfeZMTFmXUBU3muIy57K5nJLdqIobVXahyu70urk9JbtQJRdJ2U1KdqBjAyEwhBltsLnYyd1FCvL4KNrIKNrIMPrICNrIKPrI8KzHsskogTyUomJTXC8qwlZUjK24yBTaCwvm1QVlCIO4Fjdd7VpWcJ9RjE873mNaLEfsnQ/ssh27Ys8K7oaGMzKEIzyAIz6OAwknEg5Jwu6rwFm8AWdpIw5/WUaIz4jzU9btsn1ZuYxiaoyjw0dpHWzlxOiJHLdWgauALSVb2FK6hfpA/dW3W1fN43rH97JROU4/NOwyO7cXYFTYQqDqBn//0mn+4RdnmKlsxCObyvj025so8l1FofNrwEgkSBw/TrytncSxozl/v5LdjqtxE+6WFlxNTbPGwE0mpsY4NXaKztFOeiI9hNUwkVQkR2CYKxISHrsnK7g7fPjtpuA+sc1r95LnyMPn8F2V6J7UdP7k+WN8Z4air7euLuCLv7F9wb97PRQi/OKLhF/+FZHYGKOJUS4W6HTeWsZIlQ+33cMdFXdwd9XdlHvLF7QtFssDoaokz5wx/yaPH0fry81jln0+XJtMp7mrcdO8CpxCCAZiAzkFS6fmQYMpEK7OW50R1VcHVi9IZMTxkeN87djXSGgJCl2FfLTlo1T5qub9fW52RCpForMzXZz0aG5tLEnCUV+Hu6kZd0sztvLllwG+HNAMjbPjZ2kbaqN9qJ3x5HhmnwRsUmpo0sqoi3lxDYXM++OBAdBnNrsohYVm/bGqKhxVVdirqrCVloJhoEejGNEoRiRCdGyIHx57jtHRbpwJg9vymqiWCzEi5n4jEp7V1HYlJIcjV3SfSYRPb1d8XtPxvsjahBCC2GuvMfatf0ekUsh5fore/35cGzcuajssloYbVkRfjtzMIvrHfvGxyw6FlySJgCOQcYzP6CR35i9a/pyRTJoXkUeOEG8/mhMbogQCuLduwb11K861a+enpzE+bsaBnHnJdP4CIEFFC6x/5KojQTIu7YlCnz09qN09aIODs7vLyytyoljs1dU3lANAqCrqwCBqb88kcb0XfThbIFQgiKpRQqkQoWSIkFfKCOqRIg/FdQ2s33AXzRXbyHflX/lNtZSZS3z6pzB8KrvdVwbrHoa6e01R9VrRUjNkkI9CdOQaBfKiGabCtHBeuOjuSqGqZodIfz/awCDa4ADqwADawCBG5DKfy6aYhWjLyrCVlWMrLcFeXo6ttNS80JrrRbgQoMbT0THBSQL7+JRYmfTyHONsdCG4SIoTIkGnpHFe0hGykomTkRQHdd5KGgJraShsoMjuxWMI7FrS/P9U46BGzfdT4+Z8YlmNms78+UC2mZEHDm96Pmn5stt92ViERb7hMWIxtJERtOFh9NFRtOGRtNA+ijY8PGsEVAZJQgkEUIoKsy72oiJsxcXYCgtRCgoW5UJd1dUcR3tMjRFRIznO96SeJGWkUHWVpJ4kqSdRDXM5pZvb5+SC11Nm7YL4+PTjhd0NrgJw519WIM644KcK7pO2TaxPCPF2xY5TcZpC/GSBf4pgb5NtV/ybDafCtA+10zrUSudoJ4bIdpgWu4vZWrqVLaVbqPXXXttNuJYyY7s6fmAeY8HsCNv4Vlj7kBkPsgI5fGmM3/92KxdHZnCA+pz833c08UBD2by+pz4+TvzoUeKtbSQ6T4KWvTaU/X7cTU24W5pxbtyIPE9uNM3QiKpRwqkwETVCJBXJLk9dT3dkXS0SEm672xTV06L7VPHdZ/ehqg4++fw5Dl2IAbnXdU9tq+Yv3r4Zp23hHWyRVITX+17n9c6fkf/aSWqPjyDrAo/dTf7GZta+8/34NjYueDsslhZ1cNB0mnd0kOw8hUhN6sBNi5iuTZtwNzZir61FWsR4wpga40LoQkZUvxC8QFKffg4v85RRn19PXZ7pWL+egotCCH5+6ed878z3EAjW5K/hQ00fWvJYmZsBIQTqxYvm+aH96LTIIFtJSSZH3blmzbI2dC0FRixGqreXvtNtdJ05xNj5U0gDQ9iS2esht81FniMPvyMPj78AR1osz0wVFcieK5uhBmODfL718wzHh3Hb3Hyo6UNsKNyQ8xghBCKVSgvqEfRIxBTYo1PXo9nHRCM51wRXg+R2mQK7xzvJ2T6D893vN9c9nmvWcIxkkrF/+xax118HwNmwgaL3vx8lYBUavlmwRPRF5GYV0QH+7vDfAeSI4hNO8snxKssRkUqROHHCdKgfbc9xSsl+P+4tLXi2bsW5fv3VndCFgKGTpuu862DW8erwwZr7zRtz/5XdP0YqhdbbSypd5NN0l3fP6siU8/xm73J1ddZhvszd5QtJxp0/adJ6+9CCQeJanHBaUE9MXLhLEA04USrKKanbSN362yhbsxlbScnlv8PxS3DmZ3D+V6bYCaZIWXuH6U4v2ZArOE4I5JdzkCfDc/uQMwrkUxzkds+8C55CCFBVjGQSIx5HTMwTCYxEwpzHE4hkep6IYySSGIk4+vAw2vDIzJ0+aZSCAmylpdjLy7CVlmYEc1tR0dIMo9O1XFE9vSzi4wxF+zkZvsiJWB+nU6Pm72nSZyuV7DTgpEFysVZy4ZmP46HNCXavKXJPFb0z2y+zfznUhJhHhBAY0Rj6yPAUF3tadB8ZzRUQZkKSzN9dUZEptE92sRcXoeTnL5shnOZIBm1GgT2lpzIifM56fJTUyFlSo2dJRvpICZ0UwpzsHpLeQpLufFTFjnq1ozSuEQkpR3CfKtYntMS0Ohfl3nK2lG5ha+nWqy8cPRk1YR63T+wxO8/AzI/f9Guw5sEb4m8kmtT4Py908K2DXTPuf+/ttfzJExvxOK7tGkEIgdbfn4lpSZ0/n7PfVlKCe0sL7pYWHPX1iyrSzcaE6D5VYJ+YTwjyE+tzqccDEElqtHWPk0jnnwvDiTBcYLi4Z00ND6yvzXG650TN2H1XFzk0A0IIzo6fZX/Pfo4MHsmYW5yKkzs9m9l+IoXtjaMZEcO5YQOBXU/gXLfuut7XYnmh9vURfeUV4m3tZnTjJJRAwMw1b2zE1dCA7F0+0VSGMOiL9mWz1YPnGYwNTnuc2+ZmdWB1Jlt9Vd4q3LYrjxJSDZV/P/nvvN5nCmN3Vt7Juza8a1kWO70Z0EZHSaQF9Wkdrh43rsZG3M3NuBob5yT83igITUMbGEDt7TVNcuns8qnFWwFSRoqQGmHQp9PtTRIqchEuchMqdOEpLqO51CxMuiawZs7nl7PjZ/lS+5eIqTEKXYX87pbfnbfRSkII897wcqJ7JIIRzV2/3L3i5ZA9numC+2Vc77LXg9rdzchXn0EbGABJIvDW3fgffXRZXLtYLB6WiL6I3Mwi+o2CUFUSJztNh3pbW041etnjMW8Et27F1dAwcySAEKawdul1UzwPTrppLVprDgevuWPGG3MhBPr4uCmUT8ovn9VdrijYy8tNkbw6PSSruhrF+u3NCT0SRevLCuvjF88weuEkkeAwMTWW4+90Kg7y3PkEatZQuGq9+V2nC5oqxcW5Ao6aSBeK/RmMns1uD1SbDvWrFcgVRzp3vHhKsc5JOeRXKZALTcNIJDOitkjEc8RuIxFHpMXuy88Tsw4XnCuSy5V2lJdhKyvNLpeWIjsXdrj79RBVo3SOdnJi9ASdo505+bIAHpuHDYE6Nnqr2eAqoUhIk8T34KTlsPl/fDXi98T26xRcbjaEEBiRyMwu9vT8clFBAMgySkF+rot9IjqmuBglEFg5F9qJkFnnoesg9B/NjTbyliCqbyNVvZ1kfjUpQ80K8WlRPmWkpon2U4X8qY+Z/NjLFnIVAtkQyJpAEgLVqVCTV0tLaQtbS7ZS5r1O97QaN8/RJ/aa52wwR+Rs+jWov++GEM+n8tOOAf74uXZGotM7kuqKvfzNu7awpSZ/Tq8lDIPU+fOZwqDaYK7Q5Vi9OiOc3whD9HVDJ6qlne6pSe52Nbve0T/IT09cQCVmFn9OX0XIskRjZYBS/5XPZx6bxxTVp7jbpwrufocfr92bEf9iaoyD/QfZ37M/JyKjxl/DzqqdbC/fjlMx318bGyP84x8TeeWVrJjesIHA7t0416yZ52/OYrEQqRSxw4eJ7NtH6uy57A5FwblmjRnRsnkz9qrr6HRcAiKpSI5b/WLo4rQ4NAmJCl9FTrZ6ibsk53OGUiG+2v5VzgXPISHx1PqnuLf63hX1XdzIGIkEiY4TZnHSo8dyR6Mqilkzo7kJV1NTpmbGSidz39/Tm4lfVXt6UAf6Z3VrKwUF5v1ndbU5nxTDGk6FOT5ynLbBNk6OnsypNeexe9hctJnmkmY2Fm3MnA+m8mb/m3yz45voQqc2r5aPNn+UgHNp3dcTBpkJsX0mwd2IRqdsm9vI4WlMHA+EQCkooOiDH8C5du38fRiLFYMloi8iloh+YyE0jeTp08QOHybe2oYRCoGhgp5Cskm415TjqSvEVeZASgVNV3F8zMxUnUCxw+qdZrRHYX32tVOpbA/zJIe5EZvZ7ST7/dkYlrRYbi8vv2nd5QuFEAIjGGTs4mnOdr5O/9mjxLov4huNo6jmcDm7bMPv8JPnNId0yw4n9ooKM1+uMjvJgQDS6DnT5XhhvxmpMJUJgfxyLnKHFyQJYRi5Du9EYnb3d848mZ5nBfNrzbC7HJLTiexyIbldyM703OVCcrmQXW4klxPZ5UZ2u5CcLpTCAuxlZch5eSviJkYzNM4Fz2WE865QV44zVpEU6vPraShsoKGwgRp/zbIdfWMxM0IIjFAok7+uTXGxa6MjVx6GalOwFRSaLvZ0sdMJF7utqMg8LizH33sqCj2HzaKkfa255zF3IaL6Vqi8BZFXh9B1jFQKVBWhqhiplNn5MGlZTMxVFZFSEWoqu5zeZ6SSaMk4eiqJnkqiJRMYqSRGKoWhpjAMPR3bIuEPFOOtXmXGklWUY0vPlcLCq/s+U1E49RM4+UI22sZbAo1PmvFbyo19Th0KJ/nj59p56eR0d6ciS/yXB9bye/evxaZMP3aJVIrEyZOmcH70KEZ4UkewTcG1ocEUzpuaUPLzF/BTLC+EEHz9wAX+996OSfnzBsgpyvIFn/y1OsrzpazTfYr4Hk6F0x33V38b5ra58Tl8jCfGM4KJQ3GwvWw7O6p2sCpv1azP1UZHCf3oR0QPvJrpDHdt2kjert046+uuui0WS0Oqu4fo/v3EDr6eHaEqy7ibm/DcfrvpNnevjFoOc0E3dHojvRlR/Vzw3DQTA4DX7s2I6iXuEr57+ruMJ8dx29x8YPMH2Fhk5RovVzKdtO1Hibe3Tcvut1WU425uwd3chKOubkUYF4xEwjRtTXKWX+6+X3K5sveVE9nllZVzHjmS1JOcHD1J+1A7R4eP5oymsst2NhRuoLmkmabiJvwOP0IIfnLxJ+w9uxeA5pJmfqvxt3AoK9NQIHQdIxa7ctTMJNe7iGcLK7uaNlP49G+h+JbPSB2LxcUS0RcRS0RfoQhh3ljHR80ojcx8LLMuIiMkuweJd8eId8XQ41kRUrLJuCvduGu8uCrdyDYZ8qpg7UOIunvQY2rGXa729JDq7kYbuIy7vKwsW+QzLZyvFKHxRiSuxekYPk7H2dfoPn0E11AI/2gC/2iCvKBKQPFlCo8pUtYZLHs82CsrsFVWYi8twi4NIykSQnJhSG4ETgxNMt3fU13hM7jDrxhDcQ1Idnta7J4ucs9p7soK5Tfa71MIQX+0P+M0Pz1+epr7qdxbzsbCjTQUNbA2f+2szg6LG4MJ19CEi10fMSOJtNERMzZmdOzKIzNsiimuFxelXexF6egY080+12P9RJSSmCRk54jak4XrmUTt1Gz7UohEDBHsN6fQEELTEbphGmtlmxl34s4Hh3/RM/GnIjmdZtxTWlS3l5djq6jAVlycG7uTjEDnj6DzhzBxM+kvN8XzVTtuePF8MkII/v2NLv7Xng7i6vTf65aafP7mXVuoK/aiR6KmM7CtnURHR855yBxuvxn3lhZcmzbdUELdXFF1gz/7wXH+9fVL0/a11OTzlfdtp9R/5Tx9QxiZAsShVCjH7T45ZiYTN5OKThPdK32V7KjawS1lt8y9SDqgjYwQ+uGPiL72WlZMb2wksHsXjtWr5/w6FouHkUwSP3SIyL79OfFJSlEhvh078N55503VkRVMBnMiYC6FL+UUnJ6g1FPKR5s/ev0jmSwWFXVwMBP7kjx9GoxsBrjs8+Fu2oyrqRlX46YlH8EqdB1tcDArlqcNc5Prc+Ugy9jKSjMFPiemqzYIXAbd0DkXPEf7UDttQ205nU4SEvX59XhsHo4OHwXg/pr7eXLdkzedEUhoGkYkgtD1ef3+LVYmloi+iFgi+jJE18yc0xxxfIa5foUh/BPINoQrQCpkJ9adIH5hDD2mmY5zxYHk9OBq3oJSWJQ5gc42pEj2+WZ2l88UE2OxLFANlVNjp8ye/aGjhBNBPMEk/tEEgbEUdQkfVREHgZCOXVogUcamTBe7XZNd37PPp25bLtnOy4VQKkTnaCcnR09ycvQkwWQwZ7/P4WNj4UY2FG6goaBhbsVnLW4ahGGgB4NoQ0Om0D4yYmb/T8TFjI3n3PzNhGS3oxSZBU7RjZlF7lQKoWnXnBF5lR/KjByKj5nxQ4YGEkiKbHbC5ZUg5VcgBcqRnC5zm8OOZHdklx3pZXvusjyxPMt+yeFAcjjAMFAHB9H6+lD7+1F7+1D7+8ys39lGBtgU7KWl2EoKseu92GMnsfkEdr8NqaAGNr8dau+6qoLeNxoXhqN87NuttHaN52wvSIRoCnXz/oIoa2O5Hf5KQQHulhbcW1rMwus38Wi4YEzld//tEK+cmS6O7G6p5LPvaMZlX5hzrBAik+keToVx2VxU+6qv66ZfGxoynemvvZ45TrmaNhPYtQvHqtkd7RaLR6qri+j+/UQPHsy6JhUFd3Mzvp07cG7caAk/mNfq3eHujKjeFe6iNq+Wd29491V1MFksP4xYjMTx48Tb20kcP55bH2xiRFRzE67mZmwFBQvWjomRy6m0UD7hLtf6+2Yd7asEAmmRvNKsWVZVib2szLzOWSSEEPRGezOCene4O7NPQuId69/BvTX3Llp7LCyWK5aIvohYIvoiIoTpJpvkFs8UZZy8LRGCuQ6RdfjMGA13oem0m1j2FKTnheDMy3HeCSFIXbhA/Egr8SOH0YaGp7+uLGMvL0ufME2x3FFdtXyH9VvMCSEEF0IXaBtqo22ojaFYtniTogka9BIatTJWx724h8OofX1mzm8m6iTt/p4WfTKx7EZ2OZHc7uw+p9PqZJlHVF3lbPAsJ0ZOcHL0JD2Rnpz9dtnOmvw1GeG8yldl/c1aXDNC00yRfcLFPjJiLo+m5+Pj1yaMS1JGcJ5ZjL6CUD2boD153eFAkiWk4BnoeROp+41sljiYRW6rtkPN7VCxBexXdt9eL0LT0IaHUfv60Pr7Ufv6TXG9rx+RjEFkACJDZkcAgN0NeZXYatZhqyjHXlFpnpsrKrCVlyO7Fr7Nyw1NN/jHn5/h2T2vsW7kIg2jFymLZV1qxT4njbdspPCWrbhbWrDX1FjHQOD8cJQPfv0Nzg1PN0l87KF1/LcH163Y70kdHCQ8Iaanj0fulmbydu3CUVOzxK27+TCSSWJvvEl03z5SFy9mtttKSvDefTfeu+60aiFZ3JQITSN59qwpqLcfnVZE115Tg7u5CXdTE/ZVq675mGwkk2b8Sm9udvlsJjnJ6czmlU/Mq6qWZTTISHyEo8NHOTN+hjsr76SxqHGpm2RhsSywRPRFxBLR5wlDh/h4rlM8RyxPz7Xk3F5PUtKieIGZMT0hiE8Vy6+zkJgQArW7m3hrK0YiYTrMq6sXvZfZYvERQjAQG8gI6pdCuUO7y73ltJS0UJ9fT5GriCJXEXbFEsMXGyEE3ZHuTK752fGz04b8VvurM7nmawJrrP8ni0VDaBra6Cj66Cj6eNB0e8/gzJ4qcqMoiy/YGQYMnTQz1LsOmufkCRS7KaTX3A5V28y6DotFbBTR8QP0th+hjsVQQyqa6ke11aBFwIjHZ32qUlCQzlsvN+tcpKNhFJ9v8dq/SEzUfIm3tRFva2e0b5COnhCxlIYhyVzMK+dkQS2dBbUoRUX85VPNPLzJikAAOHBmmN/518ME47kjGJ02mb96Zwu7WyqXqGXzizowQOiHPyJ28GBWTN+yxRTTq6uWuHU3PqmLF4ns30/s4BuIZPp+x6bgbmnBt3Mnzg0bVmxHjYXFfCOEQOvvz+Sop86dzx1FFQjgam7C3dyMa8OGGe/LhWGgDQ3lFvns6UUbHp7Z4CBJ2EpLsVebYvlEJItSXGz9bVpYrHAsEX0RsUT0OaDGTRE8NjIlVmXMFMrjo6aAPlf3uN0zyTE+dZ52kLsCS57banFzMZYY4+jwUdqG2jg9djpdHC+XPEceRe4iCl2FFLuLKXIVUegupMhVRIGrAJt88w6Tn0/GE+OcHDvJiZETdI51EpkoJpgm4AzQUNiQcZv7Hf4laqmFxQpFCBg5A5deM0X16CQ3mGyD8iaouQ2qbgHXAl0bRUeg43tw9udm5AxA0VoztqVym1mcOT38Wh0YMN3rfX2o/QOofb0YofCsLy37/WlBvXxSYdNylPz8FXWjbMTj5jD4trZpw+AlpxNlQwPfiQf4fK+D+AwjCd59aw2f2LUJr/PmPTf92+uX+H+/fwzNyL1GLfE7+cr7bmFLTf7SNGwBUfv7Cb3wArE3D2XF9G3bCDzxOPYqS0yfT4x4nNgbbxDZvx/1Uldmu620FO/OHXjvuAPFb12jWFhcCT0cJnHsGPH2o2Y9j2TWeCfZ7bg2bcS1eTMilTJrlvX2ovb2mUXSZ0AJ5GGbJJTbq6rMCFbLJGdhcUNiieiLyE0tohuGmT0+k2N88lxLXPGlgLR7PH9KrMoMc5tVyM9ieRNTYxwfOc7R4aP0R/sZiY+Q1C8/ikJCIuAMmOJ6WmgvcpsO9iJ3EfnO/Juu4MtcSepJTo+dzuSa90f7c/Y7FAfrCtbRUNDAxqKNlHnKVpQQZmGxrBECxi6kHeqvQ6g3u0+SoXQj1NwBNbea5/frJTJkiufnfpkVz4vXw+anoKJlzh3oRjRq5q339aP192WiYfSR0VmfI7ldpqheXoatosKMhSkrM4uaLpOsdW1sjER7ujDoqc6cDHnZ78fd3GwWBp3kzPvFyUH++3faGY5MP0+tKvLw//36FravWris2eWIbgj+/IUT/NMr56ft21SRxzO/dQsVgRu7sKra10dw717ih4+Yf+eShHvbVgK7dmGvqFjq5q1YJmIho/v2E3vzzWzxXpuCZ+s2vDt24Fy/cuOBLCyWGqGqJE6dMouTtrWjj43N+ljJ4TBHolVVmQ7zdCSL1XllYXFzYYnoi8hNK6IbOvzH+7I3sFfC7p5dFJ8QzV35lnvc4oZECEFMizESH2EkMWLOJy2PJkZRjcsXulUkhQJXQVZcnySwF7mKyHPk3TQ3XIYwuBS6xMmxk5wcOcn54Hl0kRWKJCRq82ozES11gTrL5W9hsVgEu9MO9YMwfnHSDglK1puRLzW3g7f46l433A/HvwfnfwUTf++lm0zxvKxx3q4fjGQyN299QmgfGpq1SKxkt2MrK8uNhqmowFZSsuCFOIUQaH19ZkxLa1tOhjKArawsUxjUUVc363liJJLkf373KC92DEzbJ0vwn+9fy399cB12ZXl0Fiwk4YTKf/3WEX7ROTRt3yObyvjcu7fgcdw85xS1p4fgCz8kfviwuUGS8NyynbwnnsBeXr60jVtBGLEY0YMHie7bj9qTrcdiKy/Dt3MnnttvvyGjpCwslhIhBGpPD/G2NpKdp5C93pzsclvJ8ukEt7CwWDosEX0RuWlFdIDvftQsMubKzxXDZxLLF6HgmIXFSkUIQSgVYiQxwmh8lOHEcEZcn5jPFA8zGbtsn+Zen7zssXlWtMg+Eh/hxKhZDPTU6CliWixnf6GrkI1FG2kobGB9wXq89uVXzMfC4qYj3J/NUB85k7uvcI0Z+VJzO+RdxtUa6oVj34UL+8nEvpU3QePboWzTgjV9KkJVzezUvj7U/n5TXO/tQxscQKizGAoUBVtJ8aRImGw0jHwdQ8KFYZA6ezaTb55TXE2ScNTVZRznVyNyCiF49lA3n/rBcaIpfdr+5uoAf/OuLawpuXGFvq7RGB/8xhucGohM2/c7963hvz+yAVleuefS6yHV3U1o7wvEW1vNDZKE57bbyHv8cexlpUvatuWKEILU+fNE9+0j9uahTHSEZLfh3rYd384dONasWdHXZxYWFhYWFisdS0RfRG5qET0RAocPrN5bC4sFxRAGwWSQ4fhwRmjPONoTI4wnxhFXqCngVJzT3OuThXaXbXl1dMXUGKfHT3Ny5CQnRk8wHB/O2e+yuVhfsD6TbV7stor6WFgsa6Ij0H3QFNUHT5JTByW/NutQD1SbrvLxLjj+Xbj4avaxFVtM53nJ+iX4ADMjDANteDjrWJ+Ihunry8lkzUGSUAoLsFdUTitsKns8Mz7FSKVInjhBvLWV+NFjGJGsyCvZbTgbGnA3t+BubkIJBK7rM10aifHx/2jlzYvTh8C77DJ/8vhGfuOOVTfcMffNC6N85JuHGI2mcrbbFYlPv72Zd2yvXqKWLS9SXV2E9u4l3tZubpAkvHfcjv+xx7CXWmI6mHFR0dcPEt2/D7W3L7PdXlmBd8dOPLfdhuKzOvstLCwsLCyWA5aIvojc1CK6hYXFskAzNMYSYzkC+3B8OONkD6VCV3wNj90zq8Be5CrCrtgX/DNcCl3KuM0vhC4w+RQlSRJ1eXVmREtRA6v8q1BkZUHbZGFhsUDEx6H7Teh6DQaOw+SRNv4K8JVBX2t2W9UtZsHQojWL3dJrRgiBPj6eFtf7zMKmaaF9sgA+FSUQSIvqprCOYiNxtJ1Ex4mcAmiyx4OrqQl3Swuuxk3IzvmtF6Mbgi++fJa/+empaUU1Ae5dX8Jn39FMad7y6oC9Vr57uJs/fu4oKT131Feh18GXfnM7t64uXKKWLV9SFy4QfOEFEkePmRtkGe8dd5D3+GPYiq8yrukGQAhB6swZIvtfIX748CTXuR3PLdvx7tx52UglCwsLCwsLi6XBEtEXEUtEt7CwWO6oumo612fIYx9JjBBTY1d8jTxHXiYupthdnBMdU+AquOrMcSEEg7FBOsc6OTFyglNjp6YVXy31lGZyzdfmr8Vjn9mhaWFhsYJJhtOC+kHob8+ttVJzmxnbUli3dO1bAPRw2BTVBwZQe/vS2esDly1+BqAUFZpu8y0tONesWfC8dYCj3UE+9u0jnB2KTttX4LHz6bc38ZbNK7fIpGEI/urFTj7/y7PT9q0v8/HM07dSU2idey5H8vx5QntfIHH8uLlBUbJielHR0jZuEdAjUWKvv0Zk3z60/mxNAXtVFd6dO/DedtusI0wsLCwsLCwslh5LRF9ELBHdwsJipRPX4hnX+lSBfSQ+Mk3cnoqERMAZoNhdTJG7aFo2e74zH1mSiapROkc7OTF6gs7RTkYTozmv47F72FCwgY2FG9lQuIEi941/821hYTGJVAx6j5g56LW3mzEvNxFGPJ7NW08XNhXxOM4NDWa+eVXVkrhY4ymdz/z4JF8/cGHG/e/YXs0nd2/C71rYEUvzTSyl8fvfbuUnx6cXU71vQwl//56tK+4zLSXJc+cI7d1LouOEucGm4L3zTvIeewxb4Y3l5BdCkDx1muj+fcSOHAHNrCEgORx4brkF784dOFavtlznFhYWFhYWKwBLRF9ELBHdwsLiRkYIQUyL5Yrrk5ZHE6OohnrZ11AkBb/DTzAZzMluVySF+vz6jNu8xl+DLFk1FiwsLCyWIy+fGuK/P9vGYHh6x2p1gZu/edeWFRN70heM86FvvMnx3ulxZx+4u47/5/EGbIp1ProWkmfPEtyzh+TJTnODTcF399343/IWbAUFS9u460QPh4m+9hrR/a+gDUxyndfU4LtnJ55bbkF2u5ewhRYWFhYWFhZXiyWiLyKWiG5hYXEzI4QglApl8tiHE8MZcX1ibkzKOy73lrOxcCMNRWZEi1OZ3xxfCwsLC4uFYyya4k++d5QfHu2ftk+S4LfvXcPvP7Qeh235CtBtXeN86J/fZGhKZ4BNlvjUrzXy3ttXLVHLbiySp08T3PsCyc5JYvrOe8h79BGU/PwlbdvVIIQg2dlJZN8+4m1tWde504nntlvx7diBY5X1m7GwsLCwsFipWCL6ImKJ6BYWFhazYwiDYDLIWGKMIncRAWdgqZtkYWFhYXEdCCH47uEePvmD40SS2rT9jZV5fO5dW1hX5l+C1l2eve29/MF/tJHUcguI5rlsfPE3tnPX2puvIOZCk+g8RWjvXpKnTwNmoU3vzh3kPfooSmD5XhPooRDRA68SfeUVtKGhzHbHqlV4d+7Ec+st817Q18LCwsLCwmLxsUT0RcQS0S0sLCwsLCwsLG42ukZj/MF/tHHwwui0fU6bzB8/1sDTd65Glpc+F1oIwd+9dIa/+dmpafvqir088/Qt1Jf4lqBlNwcTbu7gnj2kzp4DTDHdd+89+B95BGWZ3EMJIUieOEFk337i7e2gp13nbhfe227Du2MHjpqaJW6lhYWFhYWFxXxiieiLiCWiW1hYWFhYWFhY3IzohuAr+87x1y92ourTbyt2rivms+9ooTzgWoLWmSRUnT/6Tjs/aOudtu+uNUV84b3bCXisAqKLwYRIHdyzl9T584BZjNN37734H3kYxb80oxf08XGir75KZP9+9JFsp5Cjrg7fzmYmPZYAAQAASURBVB24t2+3XOcWFhYWFhY3KJaIvohYIrqFhYWFhYWFhcXNzPHeIL//7VZODUSm7Qu47fz5k5vZ1Vy56O0aDCf4yD8forVrfNq+/3R7LZ96ayN2q4DooiOEIHG8g9CePaQuXgTMjHHffffhf/hhFJ934dtgGCQ6ThDdv494+1EwzIgf2ePGc/sdeO++G0d11YK3w8LCwsLCwmJpsUT0RcQS0S0sLCwsLCwsLG52EqrO//1xJ//0yvkZ9z+5tYpP/Vojea7FcX139Ib40DfeoDeYyNkuS/CnT2zi/XevRpKWPmrmZkYIQeLYMUJ795K6eAkwxXT/A/fje/ChBRHTtbExogcOEH3lAProJNf5mnp8O3fi3rYN2eGY9/e1sLCwsLCwWJ5YIvoiYonoFhYWFhYWFhYWFib7Tw/zh8+20R9KTNtXle/mr3+9hTvqixa0DT/tGOC//fsRYik9Z7vPaePv/9NW7t9QuqDvb3F1CCFItLcT3PsCalcXAJLLhf/BB/A/8ACy9/rEdKHrJI4fJ7J/P4mjxyB9Cyx7PHjuvAPfjh3YKyqu+3NYWFhYWFhYrDwsEX0RsUR0CwsLCwsLCwsLiyzjsRR/+r1j7G3vm7ZPkuDDO+v5g0fW47Qp8/q+Qgi+9KtzfObHJ5l6l1Nd4OaffutW1pctTe62xZURQpBoayO4Zy9qTw9gxqv4HngQ/wP3I3s8V/V62ugo0VdeMV3n4+OZ7c516/Du2IFn6xYky3VuYWFhYWFxU2OJ6IuIJaJbWFhYWFhYWFhYTOf7rT386feOEU5o0/Y1lPv53Lu30FA+P9fPKc3gT54/yrOHuqftu3V1AV/8je0U+azikCsBIQTxI62E9u5F7TULwsoeN74HHzSd6W737M/VNBLHjhHZ/wqJ48ezrnOvF+9dd+K9+27s5eWL8jksLCwsLCwslj+WiL6IWCK6hYWFhYWFhYWFxcz0jMf5w/9o49VzI9P2ORSZP3rLBj5wdx2yfO355KPRFL/9zUMcvDA6bd9T26r5i7dvnnfXu8XCI4Qgfvgwwb170fr6AVMM9z/0IL7770d2uTKP1YaHTdf5gVfRg8HMdueGDfh27sDd0oJkX5w8fgsLCwsLC4uVgyWiLyKWiG5hYWFhYWFhYWExO4YheGb/eT77k05SujFt/531Rfz1r7dQmT+7w3g2Tg+E+eA33uTSaCxnuyTBHz3awG/fW28VEF3hCMMgfugQwb0voA0MAGkx/eGHsZWWEN3/CokTJ7Kuc78f751p13mZlX9v8f+zd+fhMZ3//8efk31PyCIJIdYkIgStpShKG61q+ehiaYla2qKo5aO+tOiGllZVS7WI6qb6sbW6WIraWmtsJYKINWJLSEISyfz+8MvUNIuEJBO8Htc119U5933u8z7HcTrec8/7FhERyZ+S6KVISXQRERERkZs7kHCJId9FcyDhcq42Vwcb3u5YhyfDKxZ6vLUxibzyzU4up5uXi3G0tWZql3AiQlW2425izM4mbes2Li1fzrXExFzt9iHBuLRogWPduhhsbCwQoYiIiNxplEQvRUqii4iIiIgUTvq1LKasOMjn64/kWvwToEM9f95+sg7uTvmX3jAajczbdJQ3f/qb7H+N4efuwOc97qNORfdijlzKCmNWFmlbt3Lpt98wpmfg1Oh+XJo1w8bb29KhiYiIyB1GSfRSpCS6iIiIiEjRbD58nmHfR3Mq+WquNj93ByY/XY9mNbxytWVmZTP+x3189eexXG31Ajz4/PmG+Lg55GoTEREREfm3wuZ1rUoxJhEREREREQCaVvfklyEP0jHcP1fb6eSrdP/iL9766W+uZmaZtienZdJr7tY8E+iP1/VjQb8mSqCLiIiISLHTTPRioJnoIiIiIiK37sddpxizZC/JVzJztdWq4MLUZ+vjaGdN73lbOXI2NVefwW1qMqRtTS0gKiIiIiJFonIupUhJdBERERGR25OQfJXhC3ex4dC5XG221gYcbK25fNV8AVF7Gyvef7oeT9TLPZtdRERERORmVM5FRERERETuGL7uDnz5QiPeeLw2djbm/0zJzDLmSqB7udjzXb8mSqCLiIiISIlTEl1ERERERMoEKysDLzSvyk+vNKe2X/4zgUL83Fg2sBn1K5crxehERERE5F6lJLqIiIiIiJQptSq4smRAM15uVZ1/lzl/uHYFfnipKf4ejpYJTkRERETuOTaWDkBEREREROTf7GysGNkumNZBPkxbHcuxC2l0bVSZFx+shpWVFhAVERERkdKjhUWLgRYWFREREREREREREbmzaGFREREREREREREREZHbpCS6iIiIiIiIiIiIiEg+lEQXEREREREREREREcmHkugiIiIiIiIiIiIiIvlQEl1EREREREREREREJB9KoouIiIiIiIiIiIiI5ENJdBERERERERERERGRfNwxSfQLFy7QvXt33Nzc8PDwoHfv3qSkpBS4z9WrVxkwYACenp64uLjQuXNnzpw5Y9bHYDDken333XcleSoiIiIiIiIiIiIicoe4Y5Lo3bt3Z9++faxcuZKffvqJP/74g379+hW4z6uvvsqPP/7IwoULWbduHadOneI///lPrn5z587l9OnTplfHjh1L6CxERERERERERERE5E5iMBqNRksHcTP79++ndu3abN26lfvuuw+AX3/9lccee4wTJ07g7++fa5/k5GS8vb355ptveOqppwA4cOAAISEhbN68mSZNmgDXZ6IvXrz4thLnly5dwt3dneTkZNzc3G55HBEREREREREREREpHYXN694RM9E3b96Mh4eHKYEO0LZtW6ysrPjrr7/y3Gf79u1kZmbStm1b07bg4GAqV67M5s2bzfoOGDAALy8vGjVqxJw5c7gDvlcQERERERERERERkVJgY+kACiMhIQEfHx+zbTY2NpQvX56EhIR897Gzs8PDw8Nse4UKFcz2efPNN3nooYdwcnJixYoV9O/fn5SUFAYNGpRvPOnp6aSnp5veX7p06RbOSkRERERERERERETKOosm0V977TUmTZpUYJ/9+/eXaAyvv/666b/r169Pamoq77//foFJ9AkTJjB+/PgSjUtERERERERERERELM+iSfRhw4YRGRlZYJ9q1arh6+tLYmKi2fZr165x4cIFfH1989zP19eXjIwMkpKSzGajnzlzJt99ABo3bsxbb71Feno69vb2efYZNWoUQ4cONb2/dOkSAQEBBZ6HiIiIiIiIiIiIiNx5LJpE9/b2xtvb+6b9mjZtSlJSEtu3b6dhw4YA/P7772RnZ9O4ceM892nYsCG2trasXr2azp07AxATE8OxY8do2rRpvseKjo6mXLly+SbQAezt7QtsFxEREREREREREZG7wx1REz0kJIR27drRt29fZs6cSWZmJgMHDqRLly74+/sDcPLkSdq0acOXX35Jo0aNcHd3p3fv3gwdOpTy5cvj5ubGK6+8QtOmTWnSpAkAP/74I2fOnKFJkyY4ODiwcuVK3n33XYYPH16k+HIWIlVtdBEREREREREREZE7Q04+Nye/m587IokO8PXXXzNw4EDatGmDlZUVnTt3Ztq0aab2zMxMYmJiSEtLM2378MMPTX3T09OJiIjg008/NbXb2tryySef8Oqrr2I0GqlRowYffPABffv2LVJsly9fBlBJFxEREREREREREZE7zOXLl3F3d8+33WC8WZpdbio7O5tTp07h6uqKwWCwdDilKqce/PHjx3Fzc7N0OCImujelLNP9KWWV7k0pq3RvSlmm+1PKKt2bUlbp3pSyxGg0cvnyZfz9/bGyssq33x0zE70ss7KyolKlSpYOw6Lc3Nz04JMySfemlGW6P6Ws0r0pZZXuTSnLdH9KWaV7U8oq3ZtSVhQ0Az1H/ul1EREREREREREREZF7nJLoIiIiIiIiIiIiIiL5UBJdbou9vT1jx47F3t7e0qGImNG9KWWZ7k8pq3RvSlmle1PKMt2fUlbp3pSySvem3Im0sKiIiIiIiIiIiIiISD40E11EREREREREREREJB9KoouIiIiIiIiIiIiI5ENJdBERERERERERERGRfCiJLjf1ySefEBgYiIODA40bN2bLli0F9l+4cCHBwcE4ODgQFhbGzz//XEqRyr1iwoQJ3H///bi6uuLj40PHjh2JiYkpcJ+oqCgMBoPZy8HBoZQilnvJuHHjct1rwcHBBe6j56aUhsDAwFz3psFgYMCAAXn213NTSsoff/xBhw4d8Pf3x2AwsGTJErN2o9HIG2+8gZ+fH46OjrRt25bY2NibjlvUz6wieSno/szMzGTkyJGEhYXh7OyMv78/PXr04NSpUwWOeSufDUT+7WbPzsjIyFz3Wbt27W46rp6dcrtudm/m9fnTYDDw/vvv5zumnptSFimJLgVasGABQ4cOZezYsezYsYN69eoRERFBYmJinv03bdpE165d6d27Nzt37qRjx4507NiRvXv3lnLkcjdbt24dAwYM4M8//2TlypVkZmbyyCOPkJqaWuB+bm5unD592vSKj48vpYjlXhMaGmp2r23YsCHfvnpuSmnZunWr2X25cuVKAJ5++ul899FzU0pCamoq9erV45NPPsmz/b333mPatGnMnDmTv/76C2dnZyIiIrh69Wq+Yxb1M6tIfgq6P9PS0tixYwevv/46O3bsYNGiRcTExPDEE0/cdNyifDYQycvNnp0A7dq1M7vPvv322wLH1LNTisPN7s0b78nTp08zZ84cDAYDnTt3LnBcPTelrDEYjUajpYOQsqtx48bcf//9TJ8+HYDs7GwCAgJ45ZVXeO2113L1f/bZZ0lNTeWnn34ybWvSpAnh4eHMnDmz1OKWe8vZs2fx8fFh3bp1PPjgg3n2iYqKYsiQISQlJZVucHLPGTduHEuWLCE6OrpQ/fXcFEsZMmQIP/30E7GxsRgMhlztem5KaTAYDCxevJiOHTsC12eh+/v7M2zYMIYPHw5AcnIyFSpUICoqii5duuQ5TlE/s4oUxr/vz7xs3bqVRo0aER8fT+XKlfPsU9TPBiI3k9e9GRkZSVJSUq5ZwAXRs1OKW2Gemx07duTy5cusXr063z56bkpZpJnokq+MjAy2b99O27ZtTdusrKxo27YtmzdvznOfzZs3m/UHiIiIyLe/SHFITk4GoHz58gX2S0lJoUqVKgQEBPDkk0+yb9++0ghP7kGxsbH4+/tTrVo1unfvzrFjx/Ltq+emWEJGRgZfffUVL7zwQp4J9Bx6bkppi4uLIyEhwey56O7uTuPGjfN9Lt7KZ1aR4pKcnIzBYMDDw6PAfkX5bCByq9auXYuPjw9BQUG8/PLLnD9/Pt++enaKJZw5c4bly5fTu3fvm/bVc1PKGiXRJV/nzp0jKyuLChUqmG2vUKECCQkJee6TkJBQpP4itys7O5shQ4bQrFkz6tSpk2+/oKAg5syZw9KlS/nqq6/Izs7mgQce4MSJE6UYrdwLGjduTFRUFL/++iszZswgLi6OFi1acPny5Tz767kplrBkyRKSkpKIjIzMt4+em2IJOc++ojwXb+Uzq0hxuHr1KiNHjqRr1664ubnl26+onw1EbkW7du348ssvWb16NZMmTWLdunU8+uijZGVl5dlfz06xhHnz5uHq6sp//vOfAvvpuSllkY2lAxARuR0DBgxg7969N62P1rRpU5o2bWp6/8ADDxASEsJnn33GW2+9VdJhyj3k0UcfNf133bp1ady4MVWqVOH7778v1IwLkdIwe/ZsHn30Ufz9/fPto+emiEj+MjMzeeaZZzAajcyYMaPAvvpsIKXhxnJXYWFh1K1bl+rVq7N27VratGljwchE/jFnzhy6d+9+08Xq9dyUskgz0SVfXl5eWFtbc+bMGbPtZ86cwdfXN899fH19i9Rf5HYMHDiQn376iTVr1lCpUqUi7Wtra0v9+vU5dOhQCUUncp2Hhwe1atXK917Tc1NKW3x8PKtWraJPnz5F2k/PTSkNOc++ojwXb+Uzq8jtyEmgx8fHs3LlygJnoeflZp8NRIpDtWrV8PLyyvc+07NTStv69euJiYkp8mdQ0HNTygYl0SVfdnZ2NGzY0Gyxh+zsbFavXm02M+1GTZs2zbU4xMqVK/PtL3IrjEYjAwcOZPHixfz+++9UrVq1yGNkZWWxZ88e/Pz8SiBCkX+kpKRw+PDhfO81PTeltM2dOxcfHx/at29fpP303JTSULVqVXx9fc2ei5cuXeKvv/7K97l4K59ZRW5VTgI9NjaWVatW4enpWeQxbvbZQKQ4nDhxgvPnz+d7n+nZKaVt9uzZNGzYkHr16hV5Xz03pSxQEl0KNHToUD7//HPmzZvH/v37efnll0lNTaVXr14A9OjRg1GjRpn6Dx48mF9//ZUpU6Zw4MABxo0bx7Zt2xg4cKClTkHuQgMGDOCrr77im2++wdXVlYSEBBISErhy5Yqpz7/vzTfffJMVK1Zw5MgRduzYwXPPPUd8fPwtfQsuUpDhw4ezbt06jh49yqZNm+jUqRPW1tZ07doV0HNTLCs7O5u5c+fSs2dPbGzMq/rpuSmlJSUlhejoaKKjo4Hri4lGR0dz7NgxDAYDQ4YM4e2332bZsmXs2bOHHj164O/vT8eOHU1jtGnThunTp5ve3+wzq0hhFXR/ZmZm8tRTT7Ft2za+/vprsrKyTJ9DMzIyTGP8+/682WcDkcIo6N5MSUlhxIgR/Pnnnxw9epTVq1fz5JNPUqNGDSIiIkxj6NkpJaGgezPHpUuXWLhwYb6fI/XclDuCUeQmPv74Y2PlypWNdnZ2xkaNGhn//PNPU1vLli2NPXv2NOv//fffG2vVqmW0s7MzhoaGGpcvX17KEcvdDsjzNXfuXFOff9+bQ4YMMd3HFSpUMD722GPGHTt2lH7wctd79tlnjX5+fkY7OztjxYoVjc8++6zx0KFDpnY9N8WSfvvtNyNgjImJydWm56aUljVr1uT5//Gc+y87O9v4+uuvGytUqGC0t7c3tmnTJtc9W6VKFePYsWPNthX0mVWksAq6P+Pi4vL9HLpmzRrTGP++P2/22UCkMAq6N9PS0oyPPPKI0dvb22hra2usUqWKsW/fvsaEhASzMfTslJJws/+vG41G42effWZ0dHQ0JiUl5TmGnptyJzAYjUZjiWfqRURERERERERERETuQCrnIiIiIiIiIiIiIiKSDyXRRURERERERERERETyoSS6iIiIiIiIiIiIiEg+lEQXEREREREREREREcmHkugiIiIiIiIiIiIiIvlQEl1EREREREREREREJB9KoouIiIiIiIiIiIiI5ENJdBERERERERERERGRfCiJLiIiIiJSQtauXYvBYCApKcnSodzTIiMj6dixo6XDEBEREZE7lJLoIiIiIiJ5OHv2LC+//DKVK1fG3t4eX19fIiIi2Lhxo6VDu2foSwgRERERKQtsLB2AiIiIiEhZ1LlzZzIyMpg3bx7VqlXjzJkzrF69mvPnz1s6NBERERERKUWaiS4iIiIi8i9JSUmsX7+eSZMm0bp1a6pUqUKjRo0YNWoUTzzxBABHjx7FYDAQHR1ttp/BYGDt2rVm423cuJG6devi4OBAkyZN2Lt3r6ktPj6eDh06UK5cOZydnQkNDeXnn382te/du5dHH30UFxcXKlSowPPPP8+5c+dM7ampqfTo0QMXFxf8/PyYMmUKrVq1YsiQIaY+BoOBJUuWmMXk4eFBVFSU6f3x48d55pln8PDwoHz58jz55JMcPXrU1J5TEmXy5Mn4+fnh6enJgAEDyMzMNPVJT09n5MiRBAQEYG9vT40aNZg9e3ahz+VmoqKi8PDw4LfffiMkJAQXFxfatWvH6dOnTX2ysrIYOnQoHh4eeHp68t///hej0Wg2TnZ2NhMmTKBq1ao4OjpSr149fvjhBwCMRiNt27YlIiLCtN+FCxeoVKkSb7zxRqFjFREREZG7h5LoIiIiIiL/4uLigouLC0uWLCE9Pf22xxsxYgRTpkxh69ateHt706FDB1PyecCAAaSnp/PHH3+wZ88eJk2ahIuLC3A9Kf/QQw9Rv359tm3bxq+//sqZM2d45plnzMZet24dS5cuZcWKFaxdu5YdO3YUKb7MzEwiIiJwdXVl/fr1bNy40ZSgzsjIMPVbs2YNhw8fZs2aNcybN4+oqCizRHyPHj349ttvmTZtGvv37+ezzz4r0rkURlpaGpMnT2b+/Pn88ccfHDt2jOHDh5vap0yZQlRUFHPmzGHDhg1cuHCBxYsXm40xYcIEvvzyS2bOnMm+fft49dVXee6551i3bh0Gg4F58+axdetWpk2bBsBLL71ExYoVlUQXERERuUepnIuIiIiIyL/Y2NgQFRVF3759mTlzJg0aNKBly5Z06dKFunXrFnm8sWPH8vDDDwMwb948KlWqxOLFi3nmmWc4duwYnTt3JiwsDIBq1aqZ9ps+fTr169fn3XffNW2bM2cOAQEBHDx4EH9/f2bPns1XX31FmzZtzMYvigULFpCdnc0XX3yBwWAAYO7cuXh4eLB27VoeeeQRAMqVK8f06dOxtrYmODiY9u3bs3r1avr27cvBgwf5/vvvWblyJW3bti3yudSqVatQsWZmZjJz5kyqV68OwMCBA3nzzTdN7VOnTmXUqFH85z//AWDmzJn89ttvpvb09HTeffddVq1aRdOmTU1xbtiwgc8++4yWLVtSsWJFPvvsM3r06EFCQgI///wzO3fuxMZG/3wSERERuRfpU6CIiIiISB46d+5M+/btWb9+PX/++Se//PIL7733Hl988QWRkZFFGisnWQtQvnx5goKC2L9/PwCDBg3i5ZdfZsWKFbRt25bOnTubEvW7du1izZo1ptncNzp8+DBXrlwhIyODxo0b5xq/KHbt2sWhQ4dwdXU123716lUOHz5seh8aGoq1tbXpvZ+fH3v27AEgOjoaa2trWrZsme8xCjqXwibRnZycTAn0nBgSExMBSE5O5vTp02bXw8bGhvvuu89UmuXQoUOkpaWZvtTIkZGRQf369U3vn376aRYvXszEiROZMWMGNWvWLFR8IiIiInL3URJdRERERCQfDg4OPPzwwzz88MO8/vrr9OnTh7FjxxIZGYmV1fXKiDfW276xPnhh9enTh4iICJYvX86KFSuYMGECU6ZM4ZVXXiElJYUOHTowadKkXPv5+flx6NChQh3DYDDkqgt+Y6wpKSk0bNiQr7/+Ote+3t7epv+2tbXNNW52djYAjo6OBcZws3MprLxi+Pe53SwOgOXLl1OxYkWzNnt7e9N/p6WlsX37dqytrYmNjS30+CIiIiJy91FNdBERERGRQqpduzapqanAP8nlGxe1vHGR0Rv9+eefpv++ePEiBw8eJCQkxLQtICCAl156iUWLFjFs2DA+//xzABo0aMC+ffsIDAykRo0aZi9nZ2eqV6+Ora0tf/31V67xb+Tt7W0WZ2xsLGlpaab3DRo0IDY2Fh8fn1zHcXd3L9S1CQsLIzs7m3Xr1uXZfrNzKQ7u7u74+fmZXY9r166xfft20/vatWtjb2/PsWPHcsUREBBg6jds2DCsrKz45ZdfmDZtGr///nuxxCgiIiIidx4l0UVERERE/uX8+fM89NBDfPXVV+zevZu4uDgWLlzIe++9x5NPPglcn3ndpEkTJk6cyP79+1m3bh1jxozJc7w333yT1atXs3fvXiIjI/Hy8qJjx44ADBkyhN9++424uDh27NjBmjVrTAn2AQMGcOHCBbp27crWrVs5fPgwv/32G7169SIrKwsXFxd69+7NiBEj+P33303j58ySz/HQQw8xffp0du7cybZt23jppZfMZnR3794dLy8vnnzySdavX09cXBxr165l0KBBnDhxolDXLDAwkJ49e/LCCy+wZMkS0xjff/99oc6luAwePJiJEyeyZMkSDhw4QP/+/UlKSjK1u7q6Mnz4cF599VXmzZvH4cOH2bFjBx9//DHz5s0Drs9SnzNnDl9//TUPP/wwI0aMoGfPnly8eLHY4hQRERGRO4eS6CIiIiIi/+Li4kLjxo358MMPefDBB6lTpw6vv/46ffv2Zfr06aZ+c+bM4dq1azRs2JAhQ4bw9ttv5znexIkTGTx4MA0bNiQhIYEff/wROzs7ALKyshgwYAAhISG0a9eOWrVq8emnnwLg7+/Pxo0bycrK4pFHHiEsLIwhQ4bg4eFhSpS///77tGjRgg4dOtC2bVuaN29Ow4YNzY4/ZcoUAgICaNGiBd26dWP48OE4OTmZ2p2cnPjjjz+oXLky//nPfwgJCaF3795cvXoVNze3Ql+3GTNm8NRTT9G/f3+Cg4Pp27evaeZ+Yc6lOAwbNoznn3+enj170rRpU1xdXenUqZNZn7feeovXX3+dCRMmmK778uXLqVq1KmfPnqV3796MGzeOBg0aADB+/HgqVKjASy+9VGxxioiIiMidw2AsSgFBEREREREp81q1akV4eDhTp061dCgiIiIiInc8zUQXEREREREREREREcmHkugiIiIiIiIiIiIiIvlQORcRERERERERERERkXxoJrqIiIiIiIiIiIiISD6URBcRERERERERERERyYeS6CIiIiIiIiIiIiIi+VASXUREREREREREREQkH0qii4iIiIiIiIiIiIjkQ0l0EREREREREREREZF8KIkuIiIiIiIiIiIiIpIPJdFFRERERERERERERPKhJLqIiIiIiIiIiIiISD6URBcRERERERERERERyYeS6CIiIiIiIiIiIiIi+VASXUREREREREREREQkH0qii4iIiIiIiIiIiIjkQ0l0EREREREREREREZF8KIkuIiIiIve0qKgoDAYDR48eNdv+/vvvU61aNaytrQkPD7dIbMVp7dq1GAwG1q5dW2C//K7HnWLcuHEYDIbb2vfcuXM37WswGBg4cOAtHUdERERE7ixKoouIiIiIxeUkbg0GAxs2bMjVbjQaCQgIwGAw8Pjjj9/SMd59912WLFlSqL4rVqzgv//9L82aNWPu3Lm8++67+fZdvHgxERER+Pv7Y29vT6VKlXjqqafYu3fvLcVZFn366adERUUV23g5CX2DwcD27dtztUdGRuLi4lJsxxMRERERuR1KoouIiIhImeHg4MA333yTa/u6des4ceIE9vb2tzx2fkn0559/nitXrlClShXTtt9//x0rKytmz55Njx49eOyxx/Idd8+ePZQrV47Bgwfz6aef8vLLL7Nz504aNWrErl27bjleS8nrehR3Ev1G48aNK9bxxowZw5UrV4p1TBERERG5t9lYOgARERERkRyPPfYYCxcuZNq0adjY/PNR9ZtvvqFhw4aFKrNRVNbW1lhbW5ttS0xMxNHRETs7u5vu/8Ybb+Ta1qdPHypVqsSMGTOYOXNmscVaGvK6HiUlPDycn376iR07dtCgQYNiGdPGxsbs3rmTpaam4uzsbOkwRERERO55mokuIiIiImVG165dOX/+PCtXrjRty8jI4IcffqBbt2557pOamsqwYcMICAjA3t6eoKAgJk+ejNFoNPUxGAykpqYyb948UxmRyMhIIHcNcIPBwNy5c0lNTTX1LeosbB8fH5ycnEhKSrpp36VLl9K+fXtTOZjq1avz1ltvkZWVZdavVatW1KlTh7///pvWrVvj5ORExYoVee+993KNeeLECTp27IizszM+Pj68+uqrpKenFyr2f1+PwMBA9u3bx7p160zXo1WrVgBkZmYyfvx4atasiYODA56enjRv3tzsz68gr7zyCuXKlSv0bPRffvmFFi1a4OzsjKurK+3bt2ffvn1mffKqiX7lyhUGDRqEl5cXrq6uPPHEE5w8eRKDwZDnsZOSkoiMjMTDwwN3d3d69epFWlpanjF9/fXXBAUF4eDgQMOGDfnjjz9y9dm5cyePPvoobm5uuLi40KZNG/7880+zPjnXfd26dfTv3x8fHx8qVaoEwOXLlxkyZAiBgYHY29vj4+PDww8/zI4dOwp13URERETk9twdUzRERERE5K4QGBhI06ZN+fbbb3n00UeB64nT5ORkunTpwrRp08z6G41GnnjiCdasWUPv3r0JDw/nt99+Y8SIEZw8eZIPP/wQgPnz59OnTx8aNWpEv379AKhevXqeMcyfP59Zs2axZcsWvvjiCwAeeOCBm8aelJREZmYmCQkJTJ06lUuXLtGmTZub7hcVFYWLiwtDhw7FxcWF33//nTfeeINLly7x/vvvm/W9ePEi7dq14z//+Q/PPPMMP/zwAyNHjiQsLMx0va5cuUKbNm04duwYgwYNwt/fn/nz5/P777/fNJa8TJ06lVdeeQUXFxdGjx4NQIUKFYDrCesJEyaYru2lS5fYtm0bO3bs4OGHH77p2G5ubrz66qu88cYbN52NPn/+fHr27ElERASTJk0iLS2NGTNm0Lx5c3bu3ElgYGC++0ZGRvL999/z/PPP06RJE9atW0f79u3z7f/MM89QtWpVJkyYwI4dO/jiiy/w8fFh0qRJZv3WrVvHggULGDRoEPb29nz66ae0a9eOLVu2UKdOHQD27dtHixYtcHNz47///S+2trZ89tlntGrVinXr1tG4cWOzMfv374+3tzdvvPEGqampALz00kv88MMPDBw4kNq1a3P+/Hk2bNjA/v37i20Gv4iIiIgUwCgiIiIiYmFz5841AsatW7cap0+fbnR1dTWmpaUZjUaj8emnnza2bt3aaDQajVWqVDG2b9/etN+SJUuMgPHtt982G++pp54yGgwG46FDh0zbnJ2djT179sz32HFxcaZtPXv2NDo7OxfpHIKCgoyAETC6uLgYx4wZY8zKyrrpfjnneaMXX3zR6OTkZLx69appW8uWLY2A8csvvzRtS09PN/r6+ho7d+5s2jZ16lQjYPz+++9N21JTU401atQwAsY1a9YUGE9e1yM0NNTYsmXLXH3r1atn9udRWGvWrDECxoULFxqTkpKM5cqVMz7xxBOm9n9f/8uXLxs9PDyMffv2NRsnISHB6O7ubrZ97Nixxhv/mbN9+3YjYBwyZIjZvpGRkUbAOHbs2Fz7vvDCC2Z9O3XqZPT09DTblvNnvW3bNtO2+Ph4o4ODg7FTp06mbR07djTa2dkZDx8+bNp26tQpo6urq/HBBx80bcu57s2bNzdeu3bN7Fju7u7GAQMGGEVERETEMlTORURERETKlGeeeYYrV67w008/cfnyZX766ad8S7n8/PPPWFtbM2jQILPtw4YNw2g08ssvv5RGyADMnTuXX3/9lU8//ZSQkBCuXLmSqyRLXhwdHU3/ffnyZc6dO0eLFi1IS0vjwIEDZn1dXFx47rnnTO/t7Oxo1KgRR44cMW37+eef8fPz46mnnjJtc3JyMs3AL04eHh7s27eP2NjYWx7D3d2dIUOGsGzZMnbu3Jlnn5UrV5KUlETXrl05d+6c6WVtbU3jxo1Zs2ZNvuP/+uuvwPUZ3jd65ZVX8t3npZdeMnvfokULzp8/z6VLl8y2N23alIYNG5reV65cmSeffJLffvuNrKwssrKyWLFiBR07dqRatWqmfn5+fnTr1o0NGzbkGrNv3765atJ7eHjw119/cerUqXxjFhEREZGSo3IuIiIiIlKmeHt707ZtW7755hvS0tLIysoySwjfKD4+Hn9/f1xdXc22h4SEmNpLS9OmTU3/3aVLF1MMkydPLnC/ffv2MWbMGH7//fdcCdXk5GSz95UqVcpV77tcuXLs3r3b9D4+Pp4aNWrk6hcUFFT4kymkN998kyeffJJatWpRp04d2rVrx/PPP0/dunWLNM7gwYP58MMPGTduHEuXLs3VnpOkf+ihh/Lc383NLd+x4+PjsbKyomrVqmbba9Soke8+lStXNntfrlw54Ho5nRuPVbNmzVz71qpVi7S0NM6ePQtAWlpantc+JCSE7Oxsjh8/TmhoqGn7v+MEeO+99+jZsycBAQE0bNiQxx57jB49epgl5kVERESk5GgmuoiIiIiUOd26deOXX35h5syZPProo3h4eFg6pCIpV64cDz30EF9//XWB/ZKSkmjZsiW7du3izTff5Mcff2TlypWm2tvZ2dlm/f89QzmH8YZFVEvTgw8+yOHDh5kzZw516tThiy++oEGDBqZa8oV1s9noOddh/vz5rFy5Mtcrr8T77bDkdb7xlwk5nnnmGY4cOcLHH3+Mv78/77//PqGhoaX6SwsRERGRe5lmoouIiIhImdOpUydefPFF/vzzTxYsWJBvvypVqrBq1SouX75sNhs9pwxKlSpVTNv+PTO7pF25ciXXTPJ/W7t2LefPn2fRokU8+OCDpu1xcXG3fNwqVaqwd+9ejEaj2TnHxMTc8pgFXbvy5cvTq1cvevXqRUpKCg8++CDjxo2jT58+RTrGkCFDmDp1KuPHj8/1pUnOIrA+Pj60bdu2SONWqVKF7Oxs4uLizGaOHzp0qEjj5CWvMjYHDx7EyckJb29v4Hopnbyu/YEDB7CysiIgIKBQx/Lz86N///7079+fxMREGjRowDvvvGNaUFZERERESo5moouIiIhImePi4sKMGTMYN24cHTp0yLffY489RlZWFtOnTzfb/uGHH2IwGMwSjM7OziQlJRV7rImJibm2HT16lNWrV3PfffcVuG/OjOcbZzhnZGTw6aef3nI8jz32GKdOneKHH34wbUtLS2PWrFm3PGZ+1+78+fNm711cXKhRowbp6elFPkbObPSlS5cSHR1t1hYREYGbmxvvvvsumZmZufbNKZ2Sl4iICIBc1/Tjjz8ucoz/tnnzZnbs2GF6f/z4cZYuXcojjzyCtbU11tbWPPLIIyxdupSjR4+a+p05c4ZvvvmG5s2bF1iKBiArKyvXlzE+Pj74+/vf0nUWERERkaLTTHQRERERKZN69ux50z4dOnSgdevWjB49mqNHj1KvXj1WrFjB0qVLGTJkiGkGM0DDhg1ZtWoVH3zwAf7+/lStWpXGjRvfdpxhYWG0adOG8PBwypUrR2xsLLNnzyYzM5OJEycWuO8DDzxAuXLl6NmzJ4MGDcJgMDB//vzbKhvSt29fpk+fTo8ePdi+fTt+fn7Mnz8fJyenWx6zYcOGzJgxg7fffpsaNWrg4+PDQw89RO3atWnVqhUNGzakfPnybNu2jR9++IGBAwfe0nFyaqPv2rULZ2dn03Y3NzdmzJjB888/T4MGDejSpQve3t4cO3aM5cuX06xZs1xfpNwYe+fOnZk6dSrnz5+nSZMmrFu3joMHDwK39wuFOnXqEBERwaBBg7C3tzcl6sePH2/q8/bbb7Ny5UqaN29O//79sbGx4bPPPiM9PZ333nvvpse4fPkylSpV4qmnnqJevXq4uLiwatUqtm7dypQpU245dhEREREpPCXRRUREROSOZWVlxbJly3jjjTdYsGABc+fOJTAwkPfff59hw4aZ9f3ggw/o168fY8aM4cqVK/Ts2bNYkugvv/wyy5cv59dff+Xy5cv4+PjwyCOP8H//93+EhYUVuK+npyc//fQTw4YNY8yYMZQrV47nnnuONm3amGZQF5WTkxOrV6/mlVde4eOPP8bJyYnu3bvz6KOP0q5du1sa84033iA+Pp733nuPy5cv07JlSx566CEGDRrEsmXLWLFiBenp6VSpUoW3336bESNG3NJxPDw8GDJkiFkSOke3bt3w9/dn4sSJvP/++6Snp1OxYkVatGhBr169Chz3yy+/xNfXl2+//ZbFixfTtm1bFixYQFBQEA4ODrcUK0DLli1p2rQp48eP59ixY9SuXZuoqCizhVVDQ0NZv349o0aNYsKECWRnZ9O4cWO++uqrQt1/Tk5O9O/fnxUrVrBo0SKys7OpUaMGn376KS+//PItxy4iIiIihWcwWmoVIhEREREREQuJjo6mfv36fPXVV3Tv3t3S4YiIiIhIGaaa6CIiIiIicle7cuVKrm1Tp07FysrKbEFXEREREZG8qJyLiIiIiIjc1d577z22b99O69atsbGx4ZdffuGXX36hX79+BAQEWDo8ERERESnjVM5FRERERETuaitXrmT8+PH8/fffpKSkULlyZZ5//nlGjx6NjY3mFYmIiIhIwZREFxERERERERERERHJh2qii4iIiIiIiIiIiIjkQ0l0EREREREREREREZF8qABgMcjOzubUqVO4urpiMBgsHY6IiIiIiIiIiIiI3ITRaOTy5cv4+/tjZZX/fHMl0YvBqVOnCAgIsHQYIiIiIiIiIiIiIlJEx48fp1KlSvm2K4leDFxdXYHrF9vNzc3C0YiIiIiIiIiIiIjIzVy6dImAgABTfjc/SqIXg5wSLm5ubkqii4iIiIiIiIiIiNxBblaiWwuLioiIiIiIiIiIiIjkQ0l0EREREREREREREZF8KIkuIiIiIiIiIiIiIpIP1UQXEREREREREREpQHZ2NhkZGZYOQ0SKyNbWFmtr69seR0l0ERERERERERGRfGRkZBAXF0d2dralQxGRW+Dh4YGvr+9NFw8tiJLoIiIiIiIiIiIieTAajZw+fRpra2sCAgKwslJlZJE7hdFoJC0tjcTERAD8/PxueSwl0UVERERERERERPJw7do10tLS8Pf3x8nJydLhiEgROTo6ApCYmIiPj88tl3bR12ciIiIiIiIiIiJ5yMrKAsDOzs7CkYjIrcr5AiwzM/OWx1ASXUREREREREREpAC3U0tZRCyrOP7+KokuIiIiIiIiIiIiIpIPJdFFRERERERERESkyFq1asWQIUNM79PS0ujcuTNubm4YDAaSkpIsFptIcVISXURERERERERE5C4SGRmJwWDgpZdeytU2YMAADAYDkZGRhR5v7dq1eSbFFy1axFtvvWV6P2/ePNavX8+mTZs4ffo07u7uucbasGEDzZo1w9PTE0dHR4KDg/nwww8LHYuIJdxxSfRPPvmEwMBAHBwcaNy4MVu2bCmw/8KFCwkODsbBwYGwsDB+/vlns/aUlBQGDhxIpUqVcHR0pHbt2sycObMkT0FERERERERERKREBQQE8N1333HlyhXTtqtXr/LNN99QuXLlYjlG+fLlcXV1Nb0/fPgwISEh1KlTB19f3zxrUTs7OzNw4ED++OMP9u/fz5gxYxgzZgyzZs0qlphESsIdlURfsGABQ4cOZezYsezYsYN69eoRERFBYmJinv03bdpE165d6d27Nzt37qRjx4507NiRvXv3mvoMHTqUX3/9la+++or9+/czZMgQBg4cyLJly0rrtEREREREREREpIzLzjZyPiXdoq/sbGOh423QoAEBAQEsWrTItG3RokVUrlyZ+vXrm/VNT09n0KBB+Pj44ODgQPPmzdm6dSsAR48epXXr1gCUK1fObBb7jeVcWrVqxZQpU/jjjz8wGAy0atUqz7jq169P165dCQ0NJTAwkOeee46IiAjWr19f6HMTKW02lg6gKD744AP69u1Lr169AJg5cybLly9nzpw5vPbaa7n6f/TRR7Rr144RI0YA8NZbb7Fy5UqmT59umm2+adMmevbsafqL3a9fPz777DO2bNnCE088UTonJiIiIiIiIiIiZdrFtAwavr3KojFsH9MWTxf7Qvd/4YUXmDt3Lt27dwdgzpw59OrVi7Vr15r1++9//8v//vc/5s2bR5UqVXjvvfeIiIjg0KFDBAQE8L///Y/OnTsTExODm5sbjo6OuY61aNEiXnvtNfbu3cuiRYuws7MrVIw7d+5k06ZNvP3224U+L5HSdsfMRM/IyGD79u20bdvWtM3Kyoq2bduyefPmPPfZvHmzWX+AiIgIs/4PPPAAy5Yt4+TJkxiNRtasWcPBgwd55JFHSuZERETknnbh6gWmbp/KjjM7LB2KiIiIiIjc5Z577jk2bNhAfHw88fHxbNy4keeee86sT2pqKjNmzOD999/n0UcfpXbt2nz++ec4Ojoye/ZsrK2tKV++PAA+Pj74+vrmWeu8fPnyODk5YWdnh6+vr2mf/FSqVAl7e3vuu+8+BgwYQJ8+fYrvxEWK2R0zE/3cuXNkZWVRoUIFs+0VKlTgwIEDee6TkJCQZ/+EhATT+48//ph+/fpRqVIlbGxssLKy4vPPP+fBBx/MN5b09HTS09NN7y9dunQrpyQiIvegdcfXcSjpEEnpSdT3qZ9njUAREREREZHi4O3tTfv27YmKisJoNNK+fXu8vLzM+hw+fJjMzEyaNWtm2mZra0ujRo3Yv39/icW2fv16UlJS+PPPP3nttdeoUaMGXbt2LbHjidyOOyaJXlI+/vhj/vzzT5YtW0aVKlX4448/GDBgAP7+/rlmseeYMGEC48ePL+VIRUTkTmc0Gtl1dhcA566c42TKSSq5VrJwVCIiIiIicjd74YUXGDhwIACffPKJhaP5R9WqVQEICwvjzJkzjBs3Tkl0KbPumCS6l5cX1tbWnDlzxmz7mTNn8PX1zXMfX1/fAvtfuXKF//u//2Px4sW0b98egLp16xIdHc3kyZPzTaKPGjWKoUOHmt5funSJgICAWz43ERG5N5xJO8O5K+dM76PPRiuJLiIiIiJyhyjnZMf2MXnnikozhqJq164dGRkZGAwGIiIicrVXr14dOzs7Nm7cSJUqVQDIzMxk69atpkVDc+qbZ2Vl3XrwBcjOzjar+iBS1twxSXQ7OzsaNmzI6tWr6dixI3D9L9jq1atN36b9W9OmTVm9erXpLzzAypUradq0KXD9gZCZmYmVlXlpeGtra7Kzs/ONxd7eHnv7wi/iICIiAteT5gB21nZkZGUQnRjN49Uet2xQIiIiIiJSKFZWhiIt6llWWFtbm8qyWFtb52p3dnbm5ZdfZsSIEZQvX57KlSvz3nvvkZaWRu/evQGoUqUKBoOBn376icceewxHR0dcXFxuKZ5PPvmEypUrExwcDMAff/zB5MmTGTRo0C2eoUjJu2OS6ABDhw6lZ8+e3HfffTRq1IipU6eSmppKr169AOjRowcVK1ZkwoQJAAwePJiWLVsyZcoU2rdvz3fffce2bduYNWsWAG5ubrRs2ZIRI0bg6OhIlSpVWLduHV9++SUffPCBxc5TRETuTrvP7gbgsaqP8ePhH0lITSAhNQFf57x/USUiIiIiIlIc3NzcCmyfOHEi2dnZPP/881y+fJn77ruP3377jXLlygFQsWJFxo8fz2uvvUavXr3o0aMHUVFRtxRLdnY2o0aNIi4uDhsbG6pXr86kSZN48cUXb2k8kdJgMBqNRksHURTTp0/n/fffJyEhgfDwcKZNm0bjxo0BaNWqFYGBgWZ/iRcuXMiYMWM4evQoNWvW5L333uOxxx4ztSckJDBq1ChWrFjBhQsXqFKlCv369ePVV18t9GJvly5dwt3dneTk5Js+lERE5N508epFXt/4OgYMvN38bb7e/zV/n/+bx6s/TrvAdpYOT0RERERE8nD16lXi4uKoWrUqDg4Olg5HRG5BQX+PC5vXveOS6GWRkugiInIzf5z4g+9jvqeaezWG3jeUTSc38c2BbwhwDWBko5GWDk9ERERERPKgJLrIna84kuhW+baIiIhIsdl1dhcAdb3rAhDmHYYBA8cvHzdbbFREREREREREyhYl0UVEREpYWmYasRdjgX+S6K52rtQsVxOAXYm7LBabiIiIiIiIiBRMSXQREZEStu/8PrKN2fg6++Lj5GPaXs+7HgDRZ6MtFJmIiIiIiIiI3IyS6CIiIiUsp5RLTtI8R877uOQ4ktOTSz0uEREREREREbk5JdFFRERKUGZWJn+f/xv4p5RLDg8HD6q6VwX+SbSLiIiIiIiISNmiJLqIiEgJirkYQ0ZWBu727lR2rZyrPdw7HIDoxOjSDUxERERERERECkVJdBERkRJ0YykXg8GQq72ez/WSLrEXY7mccblUYxMRERERERGRm1MSXUREpIRkG7PZc24PkLuUSw4vRy8CXAMwYmTP2T2lGZ6IiIiIiIiIFIKS6CIiIiUkLjmOlIwUHG0cqeFRI99+ObPRo89Gl1JkIiIiIiIihRMYGMjUqVML3f/o0aMYDAaio6Pz7RMVFYWHh8dtx1bSMjIyqFGjBps2bSryvnfKOd7pXnvtNV555ZUSP46S6CIiIiVk99ndANTxqoONlU2+/XLqosdciCEtM600QhMRERERkbtYZGQkBoOBiRMnmm1fsmRJnmUmC7J161b69etXnOGVukWLFvHII4/g6el50wT/jWbOnEnVqlV54IEHTNsMBoPp5ezsTM2aNYmMjGT79u1m+z777LMcPHiwUMe50xPua9eu5cknn8TPzw9nZ2fCw8P5+uuvC9zn/PnztGvXDn9/f+zt7QkICGDgwIFcunTJ1Of06dN069aNWrVqYWVlxZAhQ3KNM3z4cObNm8eRI0eK+7TMKIkuIiJSAoxGo1k99IL4Ovvi6+xLljGLvef2lkZ4IiIiIiJyl3NwcGDSpElcvHjxtsbx9vbGycmpmKIqWZmZmXluT01NpXnz5kyaNKnQYxmNRqZPn07v3r1ztc2dO5fTp0+zb98+PvnkE1JSUmjcuDFffvmlqY+joyM+Pj5FP4k70KZNm6hbty7/+9//2L17N7169aJHjx789NNP+e5jZWXFk08+ybJlyzh48CBRUVGsWrWKl156ydQnPT0db29vxowZQ716ef+72svLi4iICGbMmFHs52UWb4mOLiIico86nXqac1fOYWNlQ4hnyE37h/uEAyrpIiIiIiIixaNt27b4+voyYcKEAvtt2LCBFi1a4OjoSEBAAIMGDSI1NdXU/u9yLgcOHKB58+Y4ODhQu3ZtVq1ahcFgYMmSJWbjHjlyhNatW+Pk5ES9evXYvHlzrmMvWbKEmjVr4uDgQEREBMePHzdrnzFjBtWrV8fOzo6goCDmz59v1m4wGJgxYwZPPPEEzs7OvPPOO3me4/PPP88bb7xB27ZtC7wWN9q+fTuHDx+mffv2udo8PDzw9fUlMDCQRx55hB9++IHu3bszcOBA05cW/55dvmvXLlq3bo2rqytubm40bNiQbdu2sXbtWnr16kVycrJphvu4ceMAmD9/Pvfddx+urq74+vrSrVs3EhMTTWOuXbsWg8HA6tWrue+++3BycuKBBx4gJibGLN4ff/yR+++/HwcHB7y8vOjUqZOpLT09neHDh1OxYkWcnZ1p3Lgxa9euLfR1Avi///s/3nrrLR544AGqV6/O4MGDadeuHYsWLcp3n3LlyvHyyy9z3333UaVKFdq0aUP//v1Zv369qU9gYCAfffQRPXr0wN3dPd+xOnTowHfffVekmItKSXQREZESkFPKJah8EPbW9jftn1PSZf/5/aRnpZdkaCIiIiIicquMRsi8apmX0VikUK2trXn33Xf5+OOPOXHiRJ59Dh8+TLt27ejcuTO7d+9mwYIFbNiwgYEDB+bZPysri44dO+Lk5MRff/3FrFmzGD16dJ59R48ezfDhw4mOjqZWrVp07dqVa9eumdrT0tJ45513+PLLL9m4cSNJSUl06dLF1L548WIGDx7MsGHD2Lt3Ly+++CK9evVizZo1ZscZN24cnTp1Ys+ePbzwwgtFukYFWb9+PbVq1cLV1bVQ/V999VUuX77MypUr82zv3r07lSpVYuvWrWzfvp3XXnsNW1tbHnjgAaZOnYqbmxunT5/m9OnTDB8+HLg+s/6tt95i165dLFmyhKNHjxIZGZlr7NGjRzNlyhS2bduGjY2N2XVYvnw5nTp14rHHHmPnzp2sXr2aRo0amdoHDhzI5s2b+e6779i9ezdPP/007dq1IzY21tTHYDAQFRVVqOuQIzk5mfLlyxe6/6lTp1i0aBEtW7Ys0nEAGjVqxIkTJzh69GiR9y2s/Au0ioiIyC0rbCmXHBVdKuLl6MW5K+fYd24fDSo0KMnwRERERETkVlxLh4U9LXPsp+eBrUORdunUqRPh4eGMHTuW2bNn52qfMGEC3bt3N9WarlmzJtOmTaNly5bMmDEDBwfz461cuZLDhw+zdu1afH19AXjnnXd4+OGHc409fPhw0yzu8ePHExoayqFDhwgODgauJ4inT59O48aNAZg3bx4hISFs2bKFRo0aMXnyZCIjI+nfvz8AQ4cO5c8//2Ty5Mm0bt3adJxu3brRq1evIl2XwoiPj8ff37/Q/XPOK79E7rFjxxgxYoSpX82aNU1t7u7uGAwG0zXNcWMyvFq1akybNo3777+flJQUXFxcTG3vvPOOKfn82muv0b59e65evYqDgwPvvPMOXbp0Yfz48ab+OaVRjh07xty5czl27JjpXIcPH86vv/7K3LlzeffddwEICgoqcCb4v33//fds3bqVzz777KZ9u3btytKlS7ly5QodOnTgiy++KPRxcuTEHh8fT2BgYJH3LwzNRBcRESlmF65e4Pjl4xgwEOYVVqh9DAaDSrqIiIiIiEixmzRpEvPmzWP//v252nbt2kVUVBQuLi6mV0REBNnZ2cTFxeXqHxMTQ0BAgFmy98ZZzTeqW7eu6b/9/PwAzEqR2NjYcP/995veBwcH4+HhYYpz//79NGvWzGzMZs2a5TqP++67L99zvx1XrlzJ9SVCQYz//5cC+S3cOnToUPr06UPbtm2ZOHEihw8fvumY27dvp0OHDlSuXBlXV1dTovzYsWNm/Qq61tHR0bRp0ybP8ffs2UNWVha1atUyuwfWrVtnFt+BAwfMSsAUZM2aNfTq1YvPP/+c0NDQm/b/8MMP2bFjB0uXLuXw4cMMHTq0UMe5kaOjI3D91w0lRTPRRUREillOKZeqHlVxtSvcT//g+qz1VfGr2HtuL5lZmdha25ZUiCIiIiIicits7K/PCLfUsW/Bgw8+SEREBKNGjcpVCiQlJYUXX3yRQYMG5dqvcuXKt3S8HLa2//x7JiexnJ2dfVtj5sXZ2bnYx4TrC1bu2bOn0P1zkvtVq1bNs33cuHF069aN5cuX88svvzB27Fi+++67fJPTqampREREEBERwddff423tzfHjh0jIiKCjIwMs74FXeucBHNeUlJSsLa2Zvv27VhbW5u13TjTvbDWrVtHhw4d+PDDD+nRo0eh9vH19cXX15fg4GDKly9PixYteP31101fBhTGhQsXgOuL4JYUJdFFRESKWU4SvbClXHIEugXiYe9BUnoSBy4cIMy7cLPYRURERESklBgMRS6pUhZMnDiR8PBwgoKCzLY3aNCAv//+mxo1ahRqnKCgII4fP86ZM2eoUKECAFu3br2lmK5du8a2bdtMM9ljYmJISkoiJCQEgJCQEDZu3EjPnv+Uz9m4cSO1a9e+peMVVf369ZkxYwZGozHf2eU3yqlrXtDipbVq1aJWrVq8+uqrdO3alblz59KpUyfs7OzIysoy63vgwAHOnz/PxIkTCQgIAGDbtm1FPo+6deuyevXqPEve1K9fn6ysLBITE2nRokWRx77R2rVrefzxx5k0aRL9+vW7pTFyEv/p6UVbJ2zv3r3Y2toWaub7rVI5FxERkWKUmplKbNL1BVjqetW9SW9zBoOBej7XE+8q6SIiIiIiIsUlLCyM7t27M23aNLPtI0eOZNOmTQwcOJDo6GhiY2NZunRpvguLPvzww1SvXp2ePXuye/duNm7cyJgxY4D8y5jkx9bWlldeeYW//vqL7du3ExkZSZMmTUxJ9REjRhAVFcWMGTOIjY3lgw8+YNGiRaZFN4viwoULREdH8/fffwPXE/bR0dEkJCTku0/r1q1JSUlh3759udqSkpJISEggPj6elStX8tRTT/HNN98wY8YMPDw8cvW/cuUKAwcOZO3atcTHx7Nx40a2bt1q+sIgMDCQlJQUVq9ezblz50hLS6Ny5crY2dnx8ccfc+TIEZYtW8Zbb71V5HMfO3Ys3377LWPHjmX//v3s2bOHSZMmAdeT+t27d6dHjx4sWrSIuLg4tmzZwoQJE1i+fLlpjODgYBYvXpzvMdasWUP79u0ZNGgQnTt3JiEhgYSEBNMMcbi+UGxOPXiAn3/+mblz57J3716OHj3K8uXLeemll2jWrJlZXfPo6Giio6NJSUnh7NmzZn+OOdavX0+LFi0KnHV/u5REFxERKUb7zu3DaDTi7+KPt1PRf0oW7h0OwJ6ze7iWfa3gziIiIiIiIoX05ptv5iqnUrduXdatW8fBgwdp0aIF9evX54033sh3QU1ra2uWLFlCSkoK999/P3369GH06NEARaofDuDk5MTIkSPp1q0bzZo1w8XFhQULFpjaO3bsyEcffcTkyZMJDQ3ls88+Y+7cubRq1apoJw4sW7aM+vXrmxY67dKlC/Xr12fmzJn57uPp6UmnTp34+uuvc7X16tULPz8/goODefnll3FxcWHLli1069Ytz7Gsra05f/48PXr0oFatWjzzzDM8+uijpsU+H3jgAV566SWeffZZvL29ee+99/D29iYqKoqFCxdSu3ZtJk6cyOTJk4t87q1atWLhwoUsW7aM8PBwHnroIbZs2WJqnzt3Lj169GDYsGEEBQXRsWNHtm7dalbOJyYmhuTk5HyPMW/ePNLS0pgwYQJ+fn6m13/+8x9Tn+TkZGJiYkzvHR0d+fzzz2nevDkhISG8+uqrPPHEE/z0009mY9evX5/69euzfft2vvnmG+rXr89jjz1m1ue7776jb9++Rb42RWEw5lS9l1t26dIl3N3dSU5Oxs3NzdLhiIiIBX2x5wuiE6NpV7Udj1d7vMj7Zxuz+b8N/0dKRgoDwgcQ4hlSAlGKiIiIiEhhXL16lbi4OKpWrVrkJPG9YuPGjTRv3pxDhw5RvXp1S4dTrHbv3s3DDz/M4cOHb6lGuJS8X375hWHDhrF7925sbPKuXF7Q3+PC5nU1E11ERKSYZGZl8vf56z8rq+dVtHroOawMVqZa6irpIiIiIiIiZc3ixYtZuXIlR48eZdWqVfTr149mzZrddQl0uD5Tf9KkScTFxVk6FMlHamoqc+fOzTeBXly0sKiIiEgxOXDhABlZGXjYe1DJtdItjxPuHc7GkxvZdXYXzwY9i5VB33mLiIiIiEjZcPnyZUaOHMmxY8fw8vKibdu2TJkyxdJhlZjIyEhLhyAFeOqpp0rlOEqii4iIFJNdZ3cBUM+nXpEX1blRzXI1cbJxIiUjhcNJh6lZrmZxhSgiIiIiInJbevToQY8ePSwdhkip0tQ2ERGRYpCVncXuc7sBqOtV97bGsrGyIcw7DFBJFxERERERERFLUxJdRESkGBxJPkJaZhpONk7U8Khx2+OFe4cDsCtxF1oDXERERERERMRylEQXEREpBrvPXp+FXserDtZW1rc9XnD5YOys7UhKT+LopaO3PZ6IiIiIiIiI3Bol0UVERG6T0Wj8p5SL9+2Vcslha21LmNf/L+mSGF0sY4qIiIiIiIhI0SmJLiIicptOpZ7i/JXz2FrZEuIZUmzjhvuEA9cXLFVJFxERERERERHLUBJdRETkNuWUcgkuH4y9tX2xjVvbsza2Vracu3KOEyknim1cERERERERESk8JdFFRERu066zu4DiK+WSw97a3jSzPecYIiIiIiIipSkwMJCpU6cWuv/Ro0cxGAxER0fn2ycqKgoPD4/bjq2knT9/Hh8fH44ePVrkfceNG0d4eHixxyTmmjRpwv/+978SP46S6CIiIrfh/JXznLh8AgMG6njVKfbxw73DAdVFFxERERGRwouMjMRgMDBx4kSz7UuWLMFgMBRprK1bt9KvX7/iDK9UZWZmMnLkSMLCwnB2dsbf358ePXpw6tSpm+77zjvv8OSTTxIYGAj88wVBzsvV1ZXQ0FAGDBhAbGys2b7Dhw9n9erVhYrxTk+4b9iwgWbNmuHp6YmjoyPBwcF8+OGHBe4TExND69atqVChAg4ODlSrVo0xY8aQmZlp6vP555/TokULypUrR7ly5Wjbti1btmwxG2fMmDG89tprZGdnl8i55VASXURE5DbklHKp7lEdVzvXYh+/jlcdrA3WJKQmkJCaUOzji4iIiIjI3cnBwYFJkyZx8eLF2xrH29sbJyenYoqqZN2YgM2RlpbGjh07eP3119mxYweLFi0iJiaGJ554osCx0tLSmD17Nr17987VtmrVKk6fPs2uXbt499132b9/P/Xq1TNLmru4uODp6Xn7J3UHcHZ2ZuDAgfzxxx/s37+fMWPGMGbMGGbNmpXvPra2tvTo0YMVK1YQExPD1KlT+fzzzxk7dqypz9q1a+natStr1qxh8+bNBAQE8Mgjj3Dy5ElTn0cffZTLly/zyy+/lOg5KokuIiJyG3afu55EL+5SLjmcbJ0IKh8EQPTZ6BI5hoiIiIiI3H3atm2Lr68vEyZMKLDfhg0baNGiBY6OjgQEBDBo0CBSU1NN7f8u53LgwAGaN2+Og4MDtWvXZtWqVRgMBpYsWWI27pEjR2jdujVOTk7Uq1ePzZs35zr2kiVLqFmzJg4ODkRERHD8+HGz9hkzZlC9enXs7OwICgpi/vz5Zu0Gg4EZM2bwxBNP4OzszDvvvJPrGO7u7qxcuZJnnnmGoKAgmjRpwvTp09m+fTvHjh3L97r8/PPP2Nvb06RJk1xtnp6e+Pr6Uq1aNZ588klWrVpF48aN6d27N1lZWUDu2eVr166lUaNGODs74+HhQbNmzYiPjycqKorx48eza9cu0wz3qKgoAD744APTDPqAgAD69+9PSkqKacycsji//fYbISEhuLi40K5dO06fPm0W75w5cwgNDcXe3h4/Pz8GDhxoaktKSqJPnz54e3vj5ubGQw89xK5dRSsnWr9+fbp27UpoaCiBgYE899xzREREsH79+nz3qVatGr169aJevXpUqVKFJ554gu7du5vt8/XXX9O/f3/Cw8MJDg7miy++IDs72+zLCmtrax577DG+++67IsVcVEqii4iI3KLUzFQOXTwElFwSHSDcJxxQSRcREREREUszGo2kZ6Vb5GU0GosUq7W1Ne+++y4ff/wxJ06cyLPP4cOHadeuHZ07d2b37t0sWLCADRs2mCVZb5SVlUXHjh1xcnLir7/+YtasWYwePTrPvqNHj2b48OFER0dTq1YtunbtyrVr10ztaWlpvPPOO3z55Zds3LiRpKQkunTpYmpfvHgxgwcPZtiwYezdu5cXX3yRXr16sWbNGrPjjBs3jk6dOrFnzx5eeOGFQl2b5ORkDAZDgXXZ169fT8OGDQs1npWVFYMHDyY+Pp7t27fnar927RodO3akZcuW7N69m82bN9OvXz8MBgPPPvssw4YNIzQ0lNOnT3P69GmeffZZ07jTpk1j3759zJs3j99//53//ve/ZmOnpaUxefJk5s+fzx9//MGxY8cYPny4qX3GjBkMGDCAfv36sWfPHpYtW0aNGjVM7U8//TSJiYn88ssvbN++nQYNGtCmTRsuXLgA/FPCZu3atYW6FgA7d+5k06ZNtGzZstD7HDp0iF9//bXAfdLS0sjMzKR8+fJm2xs1alRgwr442JTo6CIiInexPef2YMRIRZeKeDl6ldhxwrzCMGDgxOUTnLtyrkSPJSIiIiIi+cvIzmDY2mEWOfaUVlOwt7Yv0j6dOnUiPDycsWPHMnv27FztEyZMoHv37gwZMgSAmjVrMm3aNFq2bMmMGTNwcHAw679y5UoOHz7M2rVr8fX1Ba7XDX/44YdzjT18+HDat28PwPjx4wkNDeXQoUMEBwcD10uvTJ8+ncaNGwMwb948QkJC2LJlC40aNWLy5MlERkbSv39/AIYOHcqff/7J5MmTad26tek43bp1o1evXoW+JlevXmXkyJF07doVNze3fPvFx8fj7+9f6HFzzuvo0aM0atTIrO3SpUskJyfz+OOPU716dQBCQkJM7S4uLtjY2JiuaY6cPxe4/ouAt99+m5deeolPP/3UtD0zM5OZM2eaxh04cCBvvvmmqf3tt99m2LBhDB482LTt/vvvB67/CmHLli0kJiZib3/93po8eTJLlizhhx9+oF+/ftja2hIUFFSokj6VKlXi7NmzXLt2jXHjxtGnT5+b7vPAAw+wY8cO0tPT6devn1ns/zZy5Ej8/f1p27at2XZ/f3+OHz9OdnY2VlYlM2dcM9FFRERuUU499JKchQ7gaudKzXI1AdiVWLSf1YmIiIiIyL1t0qRJzJs3j/379+dq27VrF1FRUbi4uJheERERZGdnExcXl6t/TEwMAQEBZsnefyeMc9St+8+/k/z8/ABITEw0bbOxsTElc+F6EtrDw8MU5/79+2nWrJnZmM2aNct1Hvfdd1++5/5vmZmZPPPMMxiNRmbMmFFg3ytXruT6EqEgOb8UyGvh1vLlyxMZGUlERAQdOnTgo48+ylVyJS+rVq2iTZs2VKxYEVdXV55//nnOnz9PWlqaqY+Tk5MpgQ7Xr3XOdU5MTOTUqVO0adMmz/F37dpFSkoKnp6eZvdAXFwchw8fBqBixYocOHAg3z/nG61fv55t27Yxc+ZMpk6dyrfffnvTfRYsWMCOHTv45ptvWL58OZMnT86z38SJE/nuu+9YvHhxrj8XR0dHsrOzSU9Pv+nxbpVmoouIiNyCjKwM9p+//uGtpJPocL2ky8GLB4k+G02bKnl/ABIRERERkZJlZ2XHlFZTLHbsW/Hggw8SERHBqFGjiIyMNGtLSUnhxRdfZNCgQbn2q1y58i0dL4etra3pv3MSy9nZ2bc1Zl6cnZ0L1S8ngR4fH8/vv/9e4Cx0AC8vryItypqT3K9atWqe7XPnzmXQoEH8+uuvLFiwgDFjxrBy5co8a67D9Rntjz/+OC+//DLvvPMO5cuXZ8OGDfTu3ZuMjAzTzPAbrzNcv9Y5CX1HR8cCY05JScHPzy/PUi0FlbrJT865h4WFcebMGcaNG0fXrl0L3CcgIACA2rVrk5WVRb9+/Rg2bBjW1tamPpMnT2bixImsWrXK7MuZHBcuXMDZ2fmm53s7lEQXERG5BQcuHCAzO5PyDuWp5FKpxI9Xz7se38d8T1xyHElXk/Bw8CjxY4qIiIiIiDmDwVDkkiplwcSJEwkPDycoKMhse4MGDfj777/NamQXJCgoiOPHj3PmzBkqVKgAwNatW28ppmvXrrFt2zbTDOeYmBiSkpJMZU5CQkLYuHEjPXv2NO2zceNGateuXeRj5STQY2NjWbNmDZ6enjfdp379+nz11VeFGj87O5tp06ZRtWpV6tevX+CY9evXZ9SoUTRt2pRvvvmGJk2aYGdnZ1qQNMf27dvJzs5mypQpphIl33//faHiyeHq6kpgYCCrV682K4GTo0GDBiQkJGBjY0NgYGCRxr6ZW5kZnp2dTWZmJtnZ2aYk+nvvvcc777zDb7/9lu+vDvbu3VvgdS8OKuciIiJyC3advV5Wpa533Tx/rlfc3O3dqeZezezYIiIiIiIihREWFkb37t2ZNm2a2faRI0eyadMmBg4cSHR0NLGxsSxdujTfhUUffvhhqlevTs+ePdm9ezcbN25kzJgxQN5lTApia2vLK6+8wl9//cX27duJjIykSZMmpqT6iBEjiIqKYsaMGcTGxvLBBx+waNEis0UzCyMzM5OnnnqKbdu28fXXX5OVlUVCQgIJCQlkZGTku19ERAT79u3Lczb6+fPnSUhI4MiRIyxbtoy2bduyZcsWZs+ebTaDOkdcXByjRo1i8+bNxMfHs2LFCmJjY01fGAQGBhIXF0d0dDTnzp0jPT2dGjVqkJmZyccff8yRI0eYP38+M2fOLNK5w/WFV6dMmcK0adOIjY1lx44dfPzxxwC0bduWpk2b0rFjR1asWMHRo0fZtGkTo0ePZtu2bQCcPHmS4OBgtmzZku8xPvnkE3788UdiY2OJjY1l9uzZTJ48meeee87UZ/r06WZlZb7++mu+//579u/fz5EjR/j+++8ZNWoUzz77rGl2/aRJk3j99deZM2cOgYGBpj+3lJQUs+OvX7+eRx55pMjXpiiURBcRESmirOws9pzbA5ROKZcc9XzqARB9NrrUjikiIiIiIneHN998M1c5lbp167Ju3ToOHjxIixYtqF+/Pm+88Ua+C2paW1uzZMkSUlJSuP/+++nTpw+jR48GKFL9cLhey3vkyJF069aNZs2a4eLiwoIFC0ztHTt25KOPPmLy5MmEhoby2WefMXfuXFq1alWk45w8eZJly5Zx4sQJwsPD8fPzM702bdqU735hYWE0aNAgz9nfbdu2xc/Pj7CwMF577TVCQkLYvXt3nrO9c871wIEDdO7cmVq1atGvXz8GDBjAiy++CEDnzp1p164drVu3xtvbm2+//ZZ69erxwQcfMGnSJOrUqcPXX3/NhAkTinTuAD179mTq1Kl8+umnhIaG8vjjjxMbGwtc/+Lj559/5sEHH6RXr17UqlWLLl26EB8fb/qlQWZmJjExMWZ12P8tOzubUaNGER4ezn333ccnn3zCpEmTzBYJPXfunKnOOlyviT9p0iQaNWpE3bp1GT9+PAMHDuSLL74w9ZkxYwYZGRk89dRTZn9uN9ZNP3nyJJs2bSrS4rK3wmDMKZIjt+zSpUu4u7uTnJx803pKIiJy5zt48SDTdkzDydaJCc0nYG2Ve6ZBSTh/5TxjN43FgIF3W7yLq51rqRxXRERERORedfXqVeLi4qhatWqRk8T3io0bN9K8eXMOHTpktsDl3WD58uWMGDGCvXv3mkqqSNkycuRILl68yKxZs/LtU9Df48LmdVUTXUREpIh2n90NQJhXWKkl0AE8HT0JcA3g+OXj7D67m2YVm918JxERERERkWK0ePFiXFxcqFmzJocOHWLw4ME0a9bsrkugA7Rv357Y2FhOnjxpWgBTyhYfHx+GDh1a4sdREl1ERKQIjEajKYlez7teqR+/nk89jl8+zq6zu5REFxERERGRUnf58mVGjhzJsWPH8PLyom3btkyZMsXSYZWYIUOGWDoEKcCwYcNK5ThKoouIiBTBiZQTXLh6AVsrW4LLB5f68et71+enwz8RcyGGtMw0nGydSj0GERERERG5d/Xo0YMePXpYOgyRUqViPiIiIkWQMws9xDMEO2u7Uj9+BecK+Dr7kmXMYu+5vaV+fBEREREp+9Kz0vnuwHdsTdhq6VBERO4KSqKLiIgUQU4Sva53XYvFEO4TDsDOxJ0Wi0FEREREyq7lR5az4eQGvtz3JfvP77d0OCIidzwl0UVERArp3JVznEw5iQEDYV5hFoujvk99AA5cOEB6VrrF4hARERGRsufE5ROsOb4GACNG5u6dy9m0sxaOSkTkzqYkuoiISCHlzEKvUa4GzrbOFovD39kfL0cvMrMz2Xdun8XiEBEREZGyxWg0siBmAUajkbredQl0CyTtWhqzds/S5AsRkdugJLqIiEgh5STR63nXs2gcBoNBJV1EREREJJdNpzYRlxyHnbUdz9R6hr51++Jm58bp1NPM/3s+RqPR0iGKiNyRlEQXEREphMsZlzmcdBjAoqVccoR7hwOw7/w+MrMyLRuMiIiIiFjc5YzLLD20FIDHqz2Oh4MH7vbu9KnbB2uDNdGJ0fwW/5uFoxQRuTMpiS4iIlIIe8/txYiRSq6V8HT0tHQ4VHGrgoe9BxlZGey/oMWiRERERO51Sw4tIe1aGhVdKtKyUkvT9mru1Xg26FkAlh9ezt5zey0VotyhAgMDmTp1aqH7Hz16FIPBQHR0dL59oqKi8PDwuO3YStr58+fx8fHh6NGjRd533LhxhIeHF3tMYq5Lly5MmTKlxI+jJLqIiEghlJVSLjluLOkSnRht0VhERERExLJiL8by1+m/MGCgS3AXrK2szdofqPgALSq2wIiRqH1RnEk9Y6FIpbRERkZiMBiYOHGi2fYlS5ZgMBiKNNbWrVvp169fcYZX6saNG0dwcDDOzs6UK1eOtm3b8tdff910v3feeYcnn3ySwMBA4J8vCHJerq6uhIaGMmDAAGJjY832HT58OKtXry50fHdywn3Dhg00a9YMT09PHB0dCQ4O5sMPPyz0/ocOHcLV1TXPL1aSkpIYMGAAfn5+2NvbU6tWLX7++WdT+5gxY3jnnXdITk4ujlPJ1x2XRP/kk08IDAzEwcGBxo0bs2XLlgL7L1y4kODgYBwcHAgLCzO7yDn279/PE088gbu7O87Oztx///0cO3aspE5BRETuMOlZ6Ry4cACAut51LRzNP3JKuuw5t4dr2dcsG4yIiIiIWMS17GssiFkAXE+WV3Wvmme/zrU6U82jGlevXeWz3Z+RlplWmmGKBTg4ODBp0iQuXrx4W+N4e3vj5ORUTFGVrMzMvEtd1qpVi+nTp7Nnzx42bNhAYGAgjzzyCGfPns13rLS0NGbPnk3v3r1zta1atYrTp0+za9cu3n33Xfbv30+9evXMkuYuLi54elr+V8ylwdnZmYEDB/LHH3+wf/9+xowZw5gxY5g1a9ZN983MzKRr1660aNEiV1tGRgYPP/wwR48e5YcffiAmJobPP/+cihUrmvrUqVOH6tWr89VXXxXrOf3bHZVEX7BgAUOHDmXs2LHs2LGDevXqERERQWJiYp79N23aRNeuXenduzc7d+6kY8eOdOzYkb17//np0uHDh2nevDnBwcGsXbuW3bt38/rrr+Pg4FBapyUiImXc/vP7yczOxNPRE39nf0uHY1LNoxqudq5cuXaFgxcPWjocEREREbGA34/9TkJqAi52LjxR/Yl8+9lY2dAnrA8e9h4kpiXy5d9faqHRu1zbtm3x9fVlwoQJBfbbsGEDLVq0wNHRkYCAAAYNGkRqaqqp/d/lXA4cOEDz5s1xcHCgdu3arFq1CoPBwJIlS8zGPXLkCK1bt8bJyYl69eqxefPmXMdesmQJNWvWxMHBgYiICI4fP27WPmPGDKpXr46dnR1BQUHMnz/frN1gMDBjxgyeeOIJnJ2deeedd/I8x27dutG2bVuqVatGaGgoH3zwAZcuXWL37t35Xpeff/4Ze3t7mjRpkqvN09MTX19fqlWrxpNPPsmqVato3LgxvXv3JisrC8g9u3zt2rU0atQIZ2dnPDw8aNasGfHx8URFRTF+/Hh27dplmuEeFRUFwAcffEBYWBjOzs4EBATQv39/UlJSTGPmlMX57bffCAkJwcXFhXbt2nH69GmzeOfMmUNoaCj29vb4+fkxcOBAU1tSUhJ9+vTB29sbNzc3HnroIXbt2pXvdclL/fr16dq1K6GhoQQGBvLcc88RERHB+vXrb7rvmDFjCA4O5plnnsnVNmfOHC5cuMCSJUto1qwZgYGBtGzZknr1zH8h3qFDB7777rsixVxUd1QS/YMPPqBv37706tWL2rVrM3PmTJycnJgzZ06e/T/66CPatWvHiBEjCAkJ4a233qJBgwZMnz7d1Gf06NE89thjvPfee9SvX5/q1avzxBNP4OPjU1qnJSIiZdyus9c/QNT1qlvknz6WJCuDlWlmvEq6iIiIiNx7zl85zy9xvwDQqUYnnG2dC+zvZudG37p9sbGyYe+5vSyPW14aYd5VjEYj2enpFnkV9UsPa2tr3n33XT7++GNOnDiRZ5/Dhw/Trl07OnfuzO7du1mwYAEbNmwwS7LeKCsri44dO+Lk5MRff/3FrFmzGD16dJ59R48ezfDhw4mOjqZWrVp07dqVa9f++QVtWloa77zzDl9++SUbN24kKSmJLl26mNoXL17M4MGDGTZsGHv37uXFF1+kV69erFmzxuw448aNo1OnTuzZs4cXXnjhptclIyODWbNm4e7unisZe6P169fTsGHDm44HYGVlxeDBg4mPj2f79u252q9du0bHjh1p2bIlu3fvZvPmzfTr1w+DwcCzzz7LsGHDCA0N5fTp05w+fZpnn33WNO60adPYt28f8+bN4/fff+e///2v2dhpaWlMnjyZ+fPn88cff3Ds2DGGDx9uap8xYwYDBgygX79+7Nmzh2XLllGjRg1T+9NPP01iYiK//PIL27dvp0GDBrRp04YLFy4A/5SwWbt2baGuBcDOnTvZtGkTLVu2LLDf77//zsKFC/nkk0/ybF+2bBlNmzZlwIABVKhQgTp16vDuu++avqjI0ahRI7Zs2UJ6enqhYywqmxIbuZhlZGSwfft2Ro0aZdpmZWVF27Zt8/wmC2Dz5s0MHTrUbFtERITpm7Hs7GyWL1/Of//7XyIiIti5cydVq1Zl1KhRdOzYsaRORURE7iDXsq+x79w+oGyVcslR36c+G09uZPe53XQxdsHKcEd9Py4iIiIit8hoNPL9we/JzM6khkcNGvk2KtR+Vdyq0DW4K/P/ns+vcb9SyaWSaa0duTljRgYnBw+xyLErfjQVg719kfbp1KkT4eHhjB07ltmzZ+dqnzBhAt27d2fIkCEA1KxZk2nTptGyZUtmzJiRq1LDypUrOXz4MGvXrsXX1xe4Xjf84YcfzjX28OHDad++PQDjx48nNDSUQ4cOERwcDFwv4zF9+nQaN24MwLx58wgJCWHLli00atSIyZMnExkZSf/+/QEYOnQof/75J5MnT6Z169am43Tr1o1evXrd9Fr89NNPdOnShbS0NPz8/Fi5ciVeXl759o+Pj8ffv/C/RM45r6NHj9Kokfnfx0uXLpGcnMzjjz9O9erVAQgJCTG1u7i4YGNjY7qmOXL+XOD6LwLefvttXnrpJT799FPT9szMTGbOnGkad+DAgbz55pum9rfffpthw4YxePBg07b7778fuP4rhC1btpCYmIj9/7+3Jk+ezJIlS/jhhx/o168ftra2BAUFFaqkT6VKlTh79izXrl1j3Lhx9OnTJ9++58+fJzIykq+++go3N7c8+xw5coTff/+d7t278/PPP3Po0CH69+9PZmYmY8eONfXz9/cnIyODhIQEqlSpctM4b8Ud8y/tc+fOkZWVRYUKFcy2V6hQgYSEhDz3SUhIKLB/YmIiKSkpTJw4kXbt2rFixQo6derEf/7zH9atW5dvLOnp6Vy6dMnsJSIid6fDSYdJu5aGs60z1T2qWzqcXGp41MDJxomUjBQOJx22dDgiIiIiUkp2n9vNvnP7sDZY0yW4S5F+MdnYrzGtA64nIb/8+0tOp5y+yR5yJ5s0aRLz5s1j//79udp27dpFVFQULi4upldERATZ2dnExcXl6h8TE0NAQIBZsvffCeMcdev+MwnJz88PwKwks42NjSmZC9eT0B4eHqY49+/fT7NmzczGbNasWa7zuO+++/I99xu1bt2a6OhoNm3aRLt27XjmmWfyLRENcOXKlSKVe875pUBefxfLly9PZGQkERERdOjQgY8++ihXyZW8rFq1ijZt2lCxYkVcXV15/vnnOX/+PGlp/6xp4OTkZEqgw/VrnXNeiYmJnDp1ijZt2uQ5/q5du0hJScHT09PsHoiLi+Pw4ev/vqxYsSIHDhzI98/5RuvXr2fbtm3MnDmTqVOn8u233+bbt2/fvnTr1o0HH3ww3z7Z2dn4+Pgwa9YsGjZsyLPPPsvo0aOZOXOmWT9HR0cAs+tS3O6YmeglITs7G4Ann3ySV199FYDw8HA2bdrEzJkz8/3JwYQJExg/fnypxSkiIpaz+9z1Gnl1veuWyVneNlY2hHmH8dfpv4g+G03NcjUtHZKIiIiIlLD0rHQWxiwEoE2VNvg6+95kj9w61ujIyZSTHLx4kM92f8Z/7/8vTrZ3xuKRlmSws6PiR1Mtduxb8eCDDxIREcGoUaOIjIw0a0tJSeHFF19k0KBBufarXLnyLR0vh62trem/cxLLObm44uTsXHAZoxv71ahRgxo1atCkSRNq1qzJ7Nmzzape3MjLy6tIi7LmJPerVs17cd+5c+cyaNAgfv31VxYsWMCYMWNYuXJlnjXX4fqM9scff5yXX36Zd955h/Lly7NhwwZ69+5NRkaGaWb4jdcZrl/rnIR+TnI5PykpKfj5+eVZqsXDw6PAffOSc+5hYWGcOXOGcePG0bVr1zz7/v777yxbtozJkycD/79UUnY2NjY2zJo1ixdeeAE/Pz9sbW2xtrY27RcSEkJCQgIZGRnY/f+/EzmlZ7y9vYscc2GVvWxAPry8vLC2tubMmTNm28+cOZPrpw45fH19C+zv5eWFjY0NtWvXNusTEhLCsWPH8o1l1KhRJCcnm17/XvRARETuDkajkV2J/9RDL6vq+9QHrtdF1+JQIiIiIne/n4/8TFJ6EuUdytMusN0tjWFtZc0LdV6gvEN5zl05x9x9c8k2Fn+C825jMBiwsre3yOt21meaOHEiP/74Y66SyA0aNODvv/82JZdvfNnlkbQPCgri+PHjZvm2rVu33lJM165dY9u2bab3MTExJCUlmcqchISEsHHjRrN9Nm7cmCuPd6uys7MLrKFdv359/v7770KPNW3aNKpWrUr9+vULHHPUqFFs2rSJOnXq8M033wBgZ2eXq8739u3byc7OZsqUKTRp0oRatWpx6tSpQsWTw9XVlcDAQFavXp1ne4MGDUhISMDGxibXn39BpW4K42bXd/PmzURHR5teb775Jq6urkRHR9OpUyfg+i8PDh06ZPbly8GDB/Hz8zO7P/fu3UulSpVuO+aC3DFJdDs7Oxo2bGj2h56dnc3q1atp2rRpnvs0bdo0102ycuVKU387Ozvuv/9+YmJizPocPHiwwPo59vb2uLm5mb1EROTuc+LyCZLSk7CztiO4fLClw8lXULkg7K3tSU5P5uilo5YOR0RERERK0MmUk/x+/HcAngl6BjvrW5udDOBi50Lfun2xtbJl//n9/Hj4x+IKU8qYsLAwunfvzrRp08y2jxw5kk2bNjFw4ECio6OJjY1l6dKl+S4s+vDDD1O9enV69uzJ7t272bhxI2PGjAHyLmNSEFtbW1555RX++usvtm/fTmRkJE2aNDGVDRkxYgRRUVHMmDGD2NhYPvjgAxYtWmS2aGZhpKam8n//93/8+eefpoU/X3jhBU6ePMnTTz+d734RERHs27cvz9no58+fJyEhgSNHjrBs2TLatm3Lli1bmD17ttms6RxxcXGMGjWKzZs3Ex8fz4oVK4iNjTV9YRAYGEhcXBzR0dGcO3eO9PR0atSoQWZmJh9//DFHjhxh/vz5ucqYFMa4ceOYMmUK06ZNIzY2lh07dvDxxx8D0LZtW5o2bUrHjh1ZsWIFR48eZdOmTYwePdr0BcfJkycJDg5my5Yt+R7jk08+4ccffyQ2NpbY2Fhmz57N5MmTee6550x9pk+fblZWJiQkhDp16pheFStWxMrKijp16lCuXDkAXn75ZS5cuMDgwYM5ePAgy5cv591332XAgAFmx1+/fj2PPPJIka9NUdwxSXS4voDA559/bqrj9PLLL5OammpaPKBHjx5mP8EYPHgwv/76K1OmTOHAgQOMGzeObdu2mT0IRowYwYIFC/j88885dOgQ06dP58cffzQtWiAiIveuXeeuz0Kv7VkbW2vbm/S2HFtrW+p41QGuz0YXERERkbuT0WhkwYEFGI1G6nnXM30GvB0BrgE8V/t6omtl/Eq2n9l+22NK2fTmm2/mKqdSt25d1q1bx8GDB2nRogX169fnjTfeyHdBTWtra5YsWUJKSgr3338/ffr0YfTo0QBFqh8O12t5jxw5km7dutGsWTNcXFxYsGCBqb1jx4589NFHTJ48mdDQUD777DPmzp1Lq1atinQca2trDhw4QOfOnalVqxYdOnTg/PnzrF+/ntDQ0Hz3CwsLo0GDBnz//fe52tq2bYufnx9hYWG89tprhISEsHv3brMFT/99rjfG0K9fPwYMGMCLL74IQOfOnWnXrh2tW7fG29ubb7/9lnr16vHBBx8wadIk6tSpw9dff82ECROKdO4APXv2ZOrUqXz66aeEhoby+OOPExsbC1z/4uPnn3/mwQcfpFevXtSqVYsuXboQHx9vWmcyMzOTmJiYAuuNZ2dnM2rUKMLDw7nvvvv45JNPmDRpktkCp+fOnTPVWS+sgIAAfvvtN7Zu3UrdunUZNGgQgwcP5rXXXjP1uXr1KkuWLKFv375FGruoDMY77Hff06dP5/333ychIYHw8HCmTZtmWsW3VatWBAYGEhUVZeq/cOFCxowZw9GjR6lZsybvvfcejz32mNmYc+bMYcKECZw4cYKgoCDGjx/Pk08+WeiYLl26hLu7O8nJyZqVLiJyF3n3r3c5lXKKHrV70Mjv5ouoWNLOxJ3M3jMbT0dPxjUdd1s/9RQRERGRsmnTqU18s/8b7KzteL3J65RzKFdsYy89tJSV8SuxtbJl2H3DqORaqdjGvpNdvXqVuLg4qlatWuQk8b1i48aNNG/enEOHDpktcHk3WL58OSNGjGDv3r1YWd1Rc5HvGTNmzGDx4sWsWLEi3z4F/T0ubF73jltYdODAgfn+pCSvIvhPP/10gT/NAHjhhRd44YUXiiM8ERG5S5xNO8uplFMYDAZCvfKfnVBW1Pasja2VLeevnOdEygkCXAMsHZKIiIiIFKOUjBSWHFoCQPuq7Ys1gQ7QoXoHTqScYP/5/czaPYv/3v9fXOxcivUYcndYvHgxLi4u1KxZk0OHDjF48GCaNWt21yXQAdq3b09sbCwnT54kIED/xiqLbG1tTeVpSpK+QhEREcnD7rO7AajpURNn28Kt9m5J9tb21Pa8vsCOSrqIiIiI3H2WHl5KWmYa/i7+tAxoWezjWxms6BXaCy9HLy5cvcCcvXPIys66+Y5yz7l8+TIDBgwgODiYyMhI7r//fpYuXWrpsErMkCFDlEAvw/r06UNQUFCJH0dJdBERkTzk1EOv513PwpEUXrhPOAC7zu6ybCAiIiIiUqwOJx1m86nNAHQJ6oKNVckUFnCydeLFui9iZ23HwYsHTTPfRW7Uo0cPDh48yNWrVzlx4gRRUVF4enpaOiyREqUkuoiIyL9czrhMXFIcAHW961o4msIL9QzF2mBNQmoCCakJlg5HRERERIrBtexrfHfgOwCa+jelmke1Ej2en4sfPWr3AGDN8TX8dfqvEj2eiMidQEl0ERGRf9lzbg9GjAS4BhR7rcmS5GTrRHD5YEAlXURERETuFmuPr+V06mmcbZ3pWKNjqRwz3CecdlXbAfDtgW+JvxRfKscty4xGo6VDEJFbVBx/f5VEFxER+Zeccih3UimXHPV8rsccfTbasoGIiIiIyG27cPUCP8f9DEDHGh1Lda2e9lXbE+oVyrXsa3y++3MuZVwqtWOXJdbW1gBkZGRYOBIRuVVpaWnA9UVIb1XJFNESERG5Q6VnpRNzIQa4s0q55KjrVZdvDd9y4vIJzl05h5ejl6VDEhEREZFbtDBmIRlZGVT3qE4TvyalemyDwUDP2j2ZvG0yiWmJfLHnCwbVH1Ri9djLKhsbG5ycnDh79iy2trZYWWk+qsidwmg0kpaWRmJiIh4eHqYvxW7FvfXkExERuYn95/dzLfsaXo5e+Dn7WTqcInOxc6GmR00OXjzIrsRdtKnSxtIhiYiIiMgt2HN2D3vO7cHKYEWXoC4YDIZSjyFnodH3t73PkaQj/O/g/3g2+NlSj8OSDAYDfn5+xMXFER+vsjYidyIPDw98fX1vawwl0UVERG5wYykXS/xDpTiE+4Rz8OJBdibuVBJdRERE5A6UnpXOwoMLAXio8kP4uVhuckcF5wpEhkby2a7PWH9yPQGuATxQ8QGLxWMJdnZ21KxZUyVdRO5Atra2tzUDPYeS6CIiIv/ftexr7D23F7gzS7nkqOddj4UxCzl66SgXr168oxZHFRERERH4Ne5XLly9QDmHcjxa9VFLh0Mdrzq0r96enw7/xIKYBfi6+FLNvZqlwypVVlZWODg4WDoMEbEQFXISERH5/w4lHeLKtSu42LlQ1b2qpcO5Ze727qb4c2bWi4iIiMid4XTKaVYfWw3A07Wext7a3sIRXRdRJYJwn3CyjFnM3jOb5PRkS4ckIlJqlEQXERH5/3af3Q1AmFcYVoY7+3+R9XzqARCdGG3ZQERERESk0IxGI9/FfEe2MZswr7Ay9etIg8HA87Wfx8/Zj+T0ZD7f/TmZ2ZmWDktEpFTc2RkCERGRYmI0Gs3qod/pwr3DATicdJjLGZctG4yIiIiIFMpfCX9xOOkwdtZ2PFXrKUuHk4u9tT396vbD0caRo5eO8n3M9xiNRkuHJSJS4pREFxERAY5dPkZyejJ21nYElQuydDi3zdPRkwDXAIwYTTPsRURERKTsSs1MZXHsYgAerfoono6eFo4ob95O3vSq0wsDBjaf2sz6k+stHZKISIlTEl1ERIR/SrnU9qyNrbWthaMpHuE+4QBEn422aBwiIiIicnNLDy0lNTMVX2dfWge0tnQ4BartWZsnazwJwA8HfyD2YqyFIxIRKVlKoouIiMBdVcolR05Jl5gLMaRlplk2GBERERHJ15GkI2w6tQmALkFdsLGysXBEN9emchsaVmhItjGb2Xtnc/HqRUuHJCJSYpREFxGRe15iWiIJqQlYGawI9Qy1dDjFpoJzBfyc/cg2ZrPn3B5LhyMiIiIiecjKzuK7mO8AaOLXhBrlalg4osIxGAx0D+lOJddKpGSkMGv3LDKztNCoiNydlEQXEZF7Xk4pl5rlauJk62ThaIqXqaRLYrRF4xARERGRvK09sZZTKadwsnWiY42Olg6nSOys7egb1hdnW2eOXz7ONwe+0UKjInJXUhJdRETueTlJ9LuplEuOnCT6/gv7uXrtqmWDEREREREzF69eZPmR5QB0rNERFzsXC0dUdJ6OnrxQ5wUMBgNbE7ay5vgaS4ckIlLslEQXEZF7WnJ6MnHJcQCEeYVZOJri5+/sj5ejF9eyr/H3+b8tHY6IiIiI3OB/sf8jIyuDau7VaOrX1NLh3LKg8kF0rtkZgMWHFhNzIcbCEYmIFC8l0UVE5J6299xejBip7FaZcg7lLB1OsTMYDNT3qQ/AzsSdFo5GRERERHLsPbeX6MRoDAYDzwY/i8FgsHRIt6VlpZY09muM0Whk9t7ZnLtyztIhiYgUGyXRRUTknpZTyqWud10LR1Jyckq67Du/T4s9iYiIiJQBGVkZfB/zPQAPBTxERZeKFo7o9hkMBroEdaGyW2XSMtOYtXsW6Vnplg5LRKRYKIkuIiL3rKvXrnLgwgEAwr3DLRtMCarsen2WfUZWBvsv7Ld0OCIiIiL3vN+O/saFqxfwsPfgsWqPWTqcYmNrbUvfsL642LlwKuUUX/39lRYaFZG7gpLoIiJyz/r7/N9kGbPwdvKmglMFS4dTYgwGg+lLApV0EREREbGshNQEVsWvAuCpWk9hb21v4YiKVzmHcvQN64uVwYqdiTtZGb/S0iGJiNw2JdFFROSetevsLgDqetW942tQ3kw973rA9dqb17KvWTgaERERkXuT0WhkQcwCsoxZhHqFmj6j3W2qe1Tn6VpPA/Dj4R/Zd36fhSMSEbk9SqKLiMg96Vr2NdOH+bv1Hy83quZRDVc7V65cu0LMxRhLhyMiIiJyT9qasJXYi7HYWtnyTK1n7uqJHM0rNucB/wcwYiRqbxSJaYmWDklE5JYpiS4iIvek2IuxXL12FVc7V6q6V7V0OCXOymBl+rJgV+IuC0cjIiIicu9Jy0xj0aFFALSr2g5PR08LR1SyDAYDTwc9TTX3aly5doVZu2dx9dpVS4clInJLlEQXEZF70u6zuwGo6333l3LJEe4TDsDuc7vJNmZbNhgRERGRe8yyw8tIyUjB19mXNpXbWDqcUmFrZUvvsN6427uTkJrAl39/qYVGReSOpCS6iIjcc4xGI7vP/ZNEv1fU8KiBk60TKRkpHEo6ZOlwRERERO4ZcclxbDy5EYBng57FxsrGwhGVHnd7d/qE9cHaYM3us7v59eivlg5JRKTIlEQXEZF7TvyleJLTk7GztqNWuVqWDqfU2FjZUNfr+pcG0YnRlg1GRERE5B6RlZ3FgpgFGDHSyLcRNcvVtHRIpa6qe1W6BHcBYPmR5aZfhYqI3CmURBcRkXtOziz0UM9QbK1sLRxN6cop6bLr7C79lFZERESkFPxx4g9OXD6Bk40TnWp2snQ4FtPUvykPVnoQgHn75pGQmmDhiERECk9JdBERuefkzHzJWWjzXhJUPgh7a3uS05OJuxRn6XBERERE7mpJV5P48ciPADxR4wlc7VwtHJFl/afmf6jhUYP0rHQ+2/0ZaZlplg5JRKRQlEQXEZF7ypnUMySkJmBtsKa2Z21Lh1PqbK1sqeNVB4BdibssHI2IiIjI3e1/sf8jIyuDQLdAmvk3s3Q4FmdjZUPvsN542HtwNu0s8/bN04L3InJHUBJdRETuKbvOXk8c1yxXEydbJwtHYxn1feoDEH02WiVdRERERErIvvP72Jm4E4PBQJfgLhgMBkuHVCa42rnSr24/bK1s2Xd+H8uPLLd0SCIiN6UkuoiI3FPu5VIuOUI8Q7C1suX8lfOcSDlh6XBERERE7jqZWZksjFkIQKtKrajkWsnCEZUtld0q0y2kGwC/Hf2NnYk7LRyRiEjBlEQXEZF7RnJ6MkcvHQWgrnddywZjQfbW9oR6hQIQnRht2WBERERE7kK/xf/GuSvncLd3p3219pYOp0y63/d+2lRuA8D8v+dzMuWkhSMSEcmfkugiInLP2HNuDwCBboG427tbOBrLypmJryS6iIiISPE6k3qGlUdXAvB0radxsHGwcERl1xPVnyCofBAZWRl8vvtzUjNTLR2SiEielEQXEZF7Rk4pl3t5FnqOUM9QrA3WnEm7vtCqiIiIiNw+o9HIgpgFZBmzqO1Z+54uIVgY1lbWvFDnBTwdPTl35Rxz9s4hKzvL0mGJiOSiJLqIiNwTrly7QsyFGEBJdAAnWyeCywcDqAaliIiISDHZdmYbBy8exNbKlmeCntFiooXgbOtMv7r9sLO2I+ZCDMsOL7N0SCIiuSiJLiIi94S/z/9NljELHycffJ19LR1OmVDP5/rMqF1nd1k4EhEREZE7X1pmGotiFwEQUTUCL0cvC0d056joUpHnQp4DYPWx1WxN2GrhiEREzCmJLiIi94ScRLF+UvuPet71MBgMnLh8gnNXzlk6HBEREZE72o+Hf+RyxmV8nHxMC2ZK4TWo0IBHAh8B4Jv933D80nELRyQi8g8l0UVE5K6XmZ3JvnP7AJVyuZGzrTM1PWoCWmBURERE5HbEX4pnw8kNADwb9Cy2VrYWjujO9Hi1x6ntWZvM7Exm7ZnF5YzLlg5JRARQEl1ERO4BBy8eJD0rHXd7dwLdAi0dTpkS7hMOKIkuIiIicquyjdl8d+A7jBi53/d+gsoHWTqkO5aVwYrI0Ei8nby5ePUic/bO4Vr2NUuHJSKiJLqIiNz9dp/dDUCYV5gWd/qXet71MGDg6KWjXLx60dLhiIiIiNxx/jjxB8cvH8fRxpFONTtZOpw7npOtEy/WfRF7a3tiL8ay+NBiS4ckIqIkuoiI3N2MRiN7zu4BVMolL+727lR1rwpogVERERGRokpOT+anIz8B0KF6B9zs3Cwc0d3B19mXnqE9AVh3fB1/nv7TwhGJyL1OSXQREbmrHb10lEsZl3CwcaBWuVqWDqdMUkkXERERkVuzKHYRV69dpYpbFZpXbG7pcO4qdb3r8ljVxwD47sB3HE0+atmAROSepiS63LKs7Cw2ntzI3L1zMRqNlg5HRCRPOaVcQj1DsbGysXA0ZVM973oAHE46rMWbRERERArpwIUDbD+zHQMGugR3wcqgFEtxe7Tqo4R5hXEt+xqf7/mc5PRkS4ckIvcoPeHlll3KuMTCgwvZfmY7f5//29LhiIjkKadEiUq55M/T0ZPKbpUxYlRJFxEREZFCyMzK5LsD3wHwYMCDBLgGWDiiu5PBYKBHaA98nX1JTk9m9p7ZWmhURCxCSXS5ZeUcytGyUksAlh5eqtnoIlLmJKQmkJiWiLXBmtqetS0dTpkW7h0OqKSLiIiISGGsjF/JuSvncLd35/Fqj1s6nLuao40jfcP64mjjyJHkIyw8uNDSIYnIPUhJdLktjwQ+gqONI6dSTrHtzDZLhyMiZVTWpUucnfYxFxcuJDs9vdSOmzOrOqh8EI42jqV23DtRTkmXgxcPkpaZZuFoRERERMquxLREfjv6GwCda3bW58xSUMG5ApGhkRgwsPHkRjac3GDpkETkHqMkutwWZ1tn2lRpA8BPR37Sz6pEJE+Xfv6Fq3//Tcrq30l4802u7t9fKsfNqYeuUi43V8G5An7OfmQbs9l9brelwxEREREpk4xGIwtiFpBlzCK4fDD1fepbOqR7RqhXKI9Xvz7rf2HMQo4kHbFwRCJyL1ESXW5b64DWuNm5cf7KeTae3GjpcESkjMlKSiJ14/WZIlaurmSdv8DZj6ZxYf5XZKeV3IznpKtJxF+Kx4CBMK+wEjvO3STcJxxQSRcRERGR/OxI3EHMhRhsrGx4NuhZDAaDpUO6pzxS5RHq+9Qny5jF53s+J+lqkqVDEpF7hJLoctvsre1pV7UdAL8c/YX0rNIr1SAiZd/lVaswZl7Drno1/N5+C5fWrQFI3biRhPFvcmXPnhI5bs5s6kD3QNzt3UvkGHebnCT6gQsHuHrtqmWDERERESlj0jLT+N/B/wEQERiBt5O3hSO69xgMBp6r/Rz+Lv5czrjM53s+JzMr09Jhicg94I5Lon/yyScEBgbi4OBA48aN2bJlS4H9Fy5cSHBwMA4ODoSFhfHzzz/n2/ell17CYDAwderUYo767vf/2Lvv+KbK9o/jn5PZle5FyyyjZZctW9koIoogDnChPj4/98bt497jcT1uRVFQBBd7CbJXWaUDyizdI0mbZp/fH4EiUqDQpCdt7/fr1Re2Sc75Rmh7cuW6r3tAwgCiA6OpsFew8vBKpeMIguAnXGYzFavXABA69lJUej0R10wm9sEH0MTG4jIaKf7gQ0q++BJXRaVXzy1GuZy/hOAEYoJicLqd7CnZo3QcQRAEQRAEv/LHgT8w2U3EBMUwotUIpeM0WXq1ntu73U6QNohDpkP8kPkDsiwrHUsQhEauQRXRZ8+ezQMPPMAzzzzDtm3b6N69O6NHj6awsLDG+69bt45rr72WW2+9le3btzNhwgQmTJjA7t27T7vvvHnz2LBhAwkJCb5+Go2SRqWp3pF86aGlVNgrFE4kCII/MC9fjmy3o2vVioDOnaq/rm/fnvgnn8AwciRIEpZNm8h/7jks27Z55bwWh4WssiwAukWLInptSZJEakwqIEa6CIIgCIIg/N1h02FWH1kNwDXJ16BVaRVO1LRFB0ZzS5dbkJDYmLeRP4/+qXQkQRAauQZVRH/rrbe47bbbuPnmm+nUqRMff/wxQUFBfPHFFzXe/91332XMmDE8/PDDdOzYkeeff56ePXvy/vvvn3K/3Nxc7r77br777ju0WvGL8EL1iutFc0NzbC4bSw4tUTqOIAgKc1VUUrHKczEbeunY0+ZFSjod4ROvIvaRh9EmNMNtNlPyyacU/+8TXCZTnc6dXpKOW3YTHxxPXHBcnY7V1JwY6bKnZI9YGisIgiAIggC4Zben2xmZXnG9SIlMUTqSAKREpjCh/QQA5mbPrW6iEQRB8IUGU0S32+1s3bqVESNOLplSqVSMGDGC9evX1/iY9evXn3J/gNGjR59yf7fbzdSpU3n44Yfp3Lmzb8I3EZIkMb7teAD+PPInpdZShRMJgqCkipUrka1WtImJBHQ7cze4vk0b4mbMIPSyS0Gtpmr7dvKf+w+VGzZe8LLMHUU7ADHK5UK0NLQkIiACu8tOemm60nEEQRAEQRAU91fuXxw2HSZAE8BV7a9SOo7wN8NaDKNPfB9kWebzXZ9TUlWidCRBEBqpBlNELy4uxuVyERd3akdhXFwc+fn5NT4mPz//nPd/9dVX0Wg03HPPPbXOYrPZMJlMp3wIHh0jO9I+oj0u2cWCnDPPnxcEoXFzV1VRsXIFUHMX+j9JWi1hl19O3GOPom3RAndlJaVffUXxhx/iLCs7r3M7XI7qed5ilMv5EyNdBEEQBEEQTjLajPy2/zcAxrcdLzas9zOSJHFdynW0MLSg0lHJp7s+xe6yKx1LEIRGqMEU0X1h69atvPvuu3z11VfnLPD83csvv0xYWFj1R4sWLXyYsmH5ezf6xryN5FfW/AaHIAiNW8Wff+K2VKGJjyOwR49aP07XogVxjz5C2BXjQaPGums3+f/5DxV/ra11V3pWWRZ2l50wfRitQltd6FNo0k6MdNldvBun26lsGEEQBEEQBAXNy55HlbOKlqEtGZQ4SOk4Qg20ai23dbuNEF0IR81HmbV3lthoVBAEr2swRfTo6GjUajUFBQWnfL2goID4+PgaHxMfH3/W+69Zs4bCwkJatmyJRqNBo9Fw6NAhHnzwQVq3bn3GLDNmzMBoNFZ/HDlypG5PrpFpE9aG7jHdkZH5df+vSscRBKGeuW02zMuWAxA6ZiyS6vx+1UgaDaFjxxL/xBPo2rRBrrJS9u23FL37Ls7i4nM+vnqUS3S383qDVDgpKSyJUF0oVc4qMssylY4jCIIgCIKgiMzSTLYUbEFC4prka1BJDaaE0uREBkRya5dbkSSJLQVbWHF4hdKRBEFoZBrMbwCdTkevXr1Yvnx59dfcbjfLly+nf//+NT6mf//+p9wfYOnSpdX3nzp1Kjt37iQtLa36IyEhgYcffpjFixefMYteryc0NPSUD+FUl7e9HAmJnUU7yTHmKB1HEIR6VLF6Ne6KCjQxMQT16X3Bx9E2a0bsww8RfvVEJK0WW0Ym+c+/gHnFyjN2lrhlNzuLdwLQPbb7BZ+7qZMkie4xnv9/YqSLIAiCIAhNkcPtYHbmbAAGNx8sVjg2AO0j2nN1+6sBmL9vPhmlGQonEgShMWkwRXSABx54gE8//ZSvv/6avXv3cuedd1JZWcnNN98MwLRp05gxY0b1/e+9914WLVrEm2++SUZGBs8++yxbtmzhrrvuAiAqKoouXbqc8qHVaomPjyc5OVmR59hYxAfHc1HCRQD8uu9XsZRKEJoI2W7HvHQpAIYxo5HU6jodT1KpMIwYQdxTT6Jv3x7ZZqN8zhyK3nwTxz9WGgEcNB6kwl5BoCaQduHt6nTupu7ESJedRTtxuV3KhhEEQRAEQahnyw4to9BSSKgulHFJ45SOI9TSkOZD6J/QHxmZL3Z9QXHVuVeyCoIg1EaDKqJfc801vPHGGzz99NOkpqaSlpbGokWLqjcPPXz4MHl5edX3HzBgALNmzeKTTz6he/fu/PTTT8yfP58uXboo9RSalEvbXIpGpWFf+T7SS9OVjiMIQj2oWLsWt8mMOjKS4H79vHZcbWwsMQ/cT8S1U5D0emz79lPwwouYlixBdp0s8J4Y5dI5qjMalcZr52+K2oW3I0gbRKWjkn3l+5SOIwiCIAiCUG+KLEUsPuhZnX5V+6sI0gYpnEioLUmSmNxhMq1DW2NxWvjfjv9hc9mUjiUIQiMgyaJFuM5MJhNhYWEYjUYx2uUf5mXPY/nh5SSGJPJY38fEfGJBaMRkh4O8p5/BVVZGxLVTCBk61CfncZaUUPbdd1jT9wKga9WKyGlT0SQk8Nz65yiuKuaWLrfQM66nT87flHyb/i0b8jYwpPkQJidPVjqOIAiCIAiCz8myzEc7PiK9JJ3kyGTuSr1LvI5tgMqt5by2+TVMdhOpsanV89IFQRD+qbZ13QbViS40PKNajyJAE0BuRS5bC7YqHUcQBB+q3LABV1kZ6rAwgs+wV4U3aKKiiL77biKnTUUVFIj90CHyX36Zwz/PoqSiEI1KQ6eoTj47f1NyYqTLjqIdYiyXIAiCIAhNwvbC7aSXpKOW1EzuMFkUXhuo8IBwpnedjlpSk1aYxuJDZ973ThAEoTZEEV3wqWBtMCNajQDg95zfcbqdCicSBMEXZKcT06JFABhGjUTS6Xx6PkmSCB4wgPinnyagW1dwuij+9WcGzc2muz2OAE2AT8/fVCRHJhOgCcBoM3LAdEDpOIIgCIIgCD5V5axibvZcAEa2HklccJzCiYS6SApPql5N+cf+P9hdvFvhRIIgNGSiiC743CUtLsGgM1BcVcy6Y+uUjiMIgg9YNm/GVVKKymAgePDgejuvOjyc6DvvJOrWWyhVWTGUWOk5eyfGX35BttvrLUdjpVVp6RLl2UdkR+EOhdMIgiAIgiD41oKcBRhtRqIDoxndarTScQQvGJg4kEGJg5CRmZk+E6PNqHQkQRAaKFFEF3xOr9Yzts1YABYeWCg29RCERkZ2uzEt8iyPNIwYgcrHXej/JEkStq7tWDixBfltwwnVhGBauIj8l1/GliO6p+vqxEiX7YXbxUgXQRAEQRAarSPmI6w6sgqAa5KvQavWKppH8J6rO1xNYkgilY5KZmXMEte0giBcEFFEF+rFgIQBRAdGY7abWXlkpdJxBEHwoqqtW3EWFKAKDiZk6BBFMuwq3oU9UEP5pEuIu/PfqEINOPPyKXz9dcp/+gm36Eq/YJ2iOqFVaSm1lnLUfFTpOIIgCIIgCF4nyzKzM2YjI9MjtgcdozoqHUnwIo1Kw42db0QtqdlTvEeskBcE4YKIIrpQLzQqDeOSxgGw7NAyKh2VCicSBMEbZFnGtHAhACHDLkEVoMws8h1FnlEj3WO6E9SjB/FPP0Nw/4tAljEvW07B8y9gzcxSJFtDp1Pr6BzdGYC0ojRlwwiCIAiCIPjA2mNrOWg6iF6t5+oOVysdR/CBhJAExrcdD8Dc7LkUWYoUTqQMR0Ehhe+8Q9XuPUpHEYQGRxTRhXrTK64XiSGJWJ1WlhxconQcQRC8oGp7Go5jeUiBARguuUSRDBaHheyybAC6xnQFQB0STOSNNxJ9112oIyJwFhVR9PbblH3/PW6rVZGcDVn3mO6AGOkiCIIgCELjY7Kb+GXfLwBc3vZywvRhCicSfGVYy2G0C2+H3WVnZvpM3LJb6Uj1zjh/PraMTEq/+gp3pWhuFITzIYroQr2RJInx7Tzv/P559E/KrGUKJxIEoS7+3oVuuOQSVEFBiuTYU7IHt+wmPjie2KDYU24L7NKZ+KefInjwIAAq/lxN/n+ex5qerkTUBqtLdBfUkppCSyEFlgKl4wiCIAiCIHjNvOx5VDmraG5ozuDEwUrHEXxIkiSmdpqKXq0nx5jD0kNLlY5UrxwFhVSlpQHgrqjA+NvvygYShAZGFNGFetUpshPtwtvhdDtZcGCB0nEEQagD6+7dOI4cQdLrCRk2TLEcfx/lUhNVYCCR119PzH33oo6OwlVaStF7/6X0m29E90UtBWoCSYlKATzd6IIgCIIgCI1BZmkmm/M3IyExJXkKapVa6UiCj0UFRjEpeRIAC3IWcMR8ROFE9ce8bCnIMppYT+NRxZ9/Yj+aq3AqQWg4RBFdqFeSJHFFuysA2HBsA/mV+QonEgThQsiyjOkPzxthIUOGoA4JUSSHw+UgvcTTVX6mIvoJASkpxD/1FCHDLgFJonLdevL/8zxVO3bUR9QGLzUmFYC0wjRFcwiCIAiCIHiD0+1kTuYcAAYlDqJ1WGtlAwn1pl98P7rHdMclu/h6z9c4XA6lI/mcy2TCsmEDABE3XE9gz54gy5TPni3GNQpCLYkiulDv2oS1oVtMN2Rkftv/m9JxBEG4ALaMDOwHDyJptRhGjlAsR2ZZJnaXnXB9OC0MLc55f5VeT8TkycQ+9CCauDhcRiPFH31Myeef46qoqIfEDVe3mG5IkkRuRW6T3YhJEARBEITGY9nhZRRYCgjRhXB528uVjiPUI0mSmJIyBYPOQH5lPr/nNP6xJhUrVyI7nOjatEHfvj3hV09E0mqxZWdTtWWL0vEEoUEQRXRBEePbjkdCYkfRDg4YDygdRxCE82Ra4OlCDx48CHVoqGI5ToxyOVHgrS1927bEP/E4htGjQZKwbN5C/nP/wbJ1q+jEOINgbTAdIjoAkFaUpmwYQRAEQRCEOiiuKmbxgcUATGw/kSCtMnv7CMox6Axc3/F6AFYcXkFWWZbCiXzHbbNR8eefABhGjkSSJDSRkYSOHQNA+U9zcdtsSkYUhAZBFNEFRcQHx9OvWT8Aft3/qyhaCUIDYs3Kwpa9DzRqDCNHKpbDLbvZVbwLOPcol5pIOh3hV04g7tFH0CYk4DabKfn0M0r+9wmu8nIvp20cTvx/FiNdBEEQBEFoqGRZ5sfMH3G4HXSI6EDvuN5KRxIU0iW6C/0T+iMjMzN9JhaHRelIPlH511+4LVVoYmMJTD35uskwYgSamGhcRiOmBQsVTCgIDYMooguKuTTpUjQqDdll2ewt3at0HEEQaqm6C33AADQREYrlOGA8QIW9gkBNIG3D217wcXStWxP3+AxCL7sM1Gqq0tLI/8/zVG7YIN7g+4fuMd2RkDhkOkSZtUzpOIIgCIIgCOdtR9EO9pTsQS2pmZw8+bxWMwqNz8T2E4kKjKLMWsbc7LlKx/E62enEvGw5AIaRI5BUJ8uAkk5H+CTPJqvm5ctwFBQoklEQGgpRRBcUExkQyZDmQwDRjS4IDYUtJwdbRiao1YSOHq1olp1FOwFPB4lGpanTsSSNhrDLxxE3Ywbali1wWyyUfvU1xe9/gLNMFItPCNOH0Sa8DXBylI4gCIIgCEJDYXVa+SnrJwBGtBpBfHC8wokEpQVoArix041ISGzM29joVlxatmzFVVaGymAguF+/024P6NqVgM6dwemifM6Poi4jCGchiuiCoka1GoVereeo+ShbC7YqHUcQhHM4scwvuF8/NFFRiuWQZbm6iHsho1zORNc8kbhHHyVswgQkrQbrnj3kP/cfKtasEReUx6XGpAJipIsgCIIgCA3PggMLKLeVEx0YzZjWY5SOI/iJpPAkRrQaAcCsjFkYbUaFE3mHLMuYly4FwDDsEiSd7rT7SJJE+ORJoFFj3bMH665d9R1TEBoMUUQXFBWiC6n+ZfV7zu843U6FEwmCcCb2Q4ew7t4NkoRhjLJd6Mcqj1FcVYxGpaFjVEevHltSqwkdM5q4xx9Hl5SEbLVS9t0sit55F2dRkVfP1RClxqYCsL98Pya7SdkwgiAIgiAItZRbkcvKIysBmJQ8Ca1aq3AiwZ9clnQZiSGJWBwWZmXMahQNNNb0dBy5uUh6PSFDhpzxftq4OAzDPXWZ8h9/RLbb6yuiIDQoooguKG5Yy2GE6EIoripm3bF1SscRBOEMTAs9XehBffqgjY1VNMuJUS4pkSno1XqfnEPbrBmxDz1I+KSrkbRabJmZ5D//AuYVK5Ddbp+csyGIDIikZWhLZOTqvwdBEARBEAR/JssyP2T8gCzLpMam0jmqs9KRBD+jUWm4sfONqCU1e4r3NIrahHmJpws9eNBAVMHBZ71v6KVjUYeH4ywqxrxsWX3EE4QGRxTRBcXp1XrGth4LwKIDi7C5bAonEgThn+xHc6lK2wGSROhY5Ze+nijedovp5tPzSCoVhuHDiXvqSfQdOiDb7ZTP+ZHCN9/EkZ/v03P7sxMjXbYXblc2iCAIgiAIQi2sO7aOA8YD6NQ6rm5/tdJxBD+VEJLA+LbjAZibPZciS8NdhWo/eBBbpmcvK8Pw4ee8v0qvJ3ziVQCYFi7CWVrq64iC0OCIIrrgFwYmDiQqMAqT3VS9xE4QBP9hXuTpQg/s2QNts2aKZim1lnLEfAQJia7RXevlnNrYWGLuv4+I669DCgjAvj+HghdfxLRoMbLLVS8Z/MmJkS7ZZdlUOiqVDSMIgiAIgnAWZruZX/b9AsC4pHGEB4QrG0jwa8NaDqNdeDvsLjsz02filhvmClTT8VnoQb17o4mMrNVjAnv3Rt++PbLDQflPc30ZTxAaJFFEF/yCRqVhXNI4AJYdWiaKMoLgRxz5+Vi2bgMgdOxYhdOc7EJPCk/CoDPU23klSSJk8GDin36KgE6dkB1OjPPnU/jaa9iP5tZbDn8QGxRLQkgCbtnNrmKx+ZAgCIIgCP5r/r75WJwWEkMSGdp8qNJxBD8nSRJTO01Fr9aTY8xh6aGlSkc6b47CQqq2eVaMGkaOrPXjJEki/JprQJKo2rYNa0aGryIKQoMkiuiC3+gd15uEkASsTitLDi5ROo5QBxmlGRwyHVI6huAlpoWLQJYJ7N4NXfPmSsept1EuZ6KJjCT67ruIvHEaqqBA7IcOU/DKyxh//wPZ2XQ2Rz4x0iWtME3RHIIgCIIgCGeSXZbNxryNSEhMSZmCWqVWOpLQAEQFRjEpeRIAC3IWcMR8ROFE56di+XKQZQI6d0bXPPG8HqtrnkjIUM+bTWWzZzep1zeCcC6iiC74DUmSuKLtFQCsPrqaMmuZwomEC7G9cDvvb3+fd7a+06BnyAkejsJCLJs3A/7RhV7pqCS7PBuAbtHKFNHB8/MquH9/4p9+msDu3cDpwvT77xS8/Ar2Q03jDaQTI10ySjOwOq3KhhEEQRAEQfgHp9vJ7MzZAAxIHECbsDYKJxIakn7x/ege0x2X7OLrPV/jcDmUjlQrLrOZynXrATCMGnVBxwi7fByqkBCceflU/PmnN+MJQoMmiuiCX+kU1Yl24e1wuB0sOLBA6TjCeSqoLGBm+kwAHG4HP2T+gCzLCqcS6sK8eAm43Z4uhtatlY7DnuI9yLJMQkgCMUExSsdBHR5O1L/+RdT0W1GFhODIzaXg1dconzcf2W5XOp5PNQtuRmxQLE63k93Fu5WOIwiCIAiCcIoVh1eQX5lPiC6kerNIQagtSfKsXjDoDORX5vN7zu9KR6qVilWrkB0OdK1aoe/Q/oKOoQoOJmzCBACMv/+Oy2TyYkJBaLhEEV3wK5IkVV/gbDi2gfzKfIUTCbVlc9n4dNen2F12WoW2QqvSklmayab8TUpHEy6Qs7SUyo0bAAi9VPkudIAdRTsA5Ua51ESSJIJ69yb+macJ6tMb3G7MixeT/+JL2PbvVzqez0iSVN2NnlaUpmgWQRAEQRCEvyupKmHhgYUAXNnuSoK1wQonEhoig87A9R2vBzxvymSVZSmc6OzcNhsVqzyd44bRo5Ak6YKPFTxwALpWrZCrrBjnzfNWREFo0EQRXfA7SeFJdI3uiozcYN7tbepkWWbW3lnkV+YTpg/jju53MLaNp+g6N3suZrtZ4YTChTAvXgxOF/rkZPRt2yodB7vLTnpJOgDdY7ornOZ0aoOBqFtvJfpfd6AOC8VZUEDhG29SNmcObptN6Xg+ceLvIb0kHburcXfeC4IgCILQcPyY9SMOt4N24e3oG99X6ThCA9Ylugv9E/ojIzMzfSYWh0XpSGdUuXYd7spKNDExBKam1ulY1ZuMApXrN2DLyfFCQkFo2EQRXfBL49uOR0IirTCNg8aDSscRzmH10dVsLdiKSlJxa5dbCdWFMqzlMBJDErE4LMzNmqt0ROE8ucrLqVy3DvCfLvSM0gwcbgcRARE0D1F+g9MzCUxNJf7ppwke0B9kmYoVKyl44QWsmZlKR/O6loaWRAZEnvIGhyAIgiAIgpJ2Fu1kd/Fu1JKaKSlT6tSNKwgAE9tPJDowmjJrGXOz/fO1rexyYV6+DADDyBFIqrqX+/RJbTyvaYDy2bOR3e46H1MQGjJRRBf8UrOQZvRt5ukY+HX/r2Kuth/LMebwc/bPAExoN4Gk8CQANCoN13W8DgmJLQVb2FOyR8mYwnkyLV2K7HCia5uEvkMHpeMAnhdE4Bnl4u8vhlTBwUROm0b03XehjojAWVRM0dvvUPrdd7irqpSO5zWSJFV3o58YtSMIgiAIQv2T7XZR4MIzYnJO5hwAhrcaTnxwvMKJhMYgQBPAtE7TkJDYmLeRtMI0pSOdpmrbNlwlpagMBoIvushrxw2bMAEpMAD7ocNUrl3nteMKQkMkiuiC37q0zaWoJTVZZVlklGYoHUeogdlu5vNdn+OSXfSI7cElLS455fZWoa24pKXnaz9k/IDN1ThHWjQ2LrOZytVrAAgde6lfFKxdbhc7i48X0aP9Zx76uQR27kz8008RMnQIAJVr/iL/P89TtbvxvKnUI7YHALuLd+N0OxVOIwiCIAhNj6uikrznniNvxuONcuXb+ZifPZ9yWzmRAZGMaT1G6ThCI5IUnsSIViMAmJUxC6PNqHCik2RZxrRkKQAhFw9F0um8dmx1aChhl18OgHH+fFwVlV47tiA0NKKILvitqMAohjT3FJ5EN7r/cctuvtz9JUabkbigOK7veH2NxdbLki4jMiCSMmsZv+8XM+4bAvOy5dU7ugd07qR0HMCz4sHisBCkCaJdeDul45wXVWAgEddeS8z996OJicZVVkbx++9TPm9+o/i51iasDWH6MKqcVWSWNe0X7oIgCIKghIrly3CVlOIyGil6511MixY1imuM85VZmsmaXE8jyPUdr0en9l4hURDA89r2xMjSWRmz/Ob7zJaRgePIESSdjpChF3v9+CFDhqBNaIa7shLT7795/fiC0FCIIrrg10a1HoVereeI+QjbC7crHUf4mz9y/iCrLAudWsdt3W4jQBNQ4/30aj1TUqYAsOrIKjHj3s+5KiqpWLUK8MxC94cudDg5yqVLdBfUKrXCaS5MQHIH4p58kpDhwwDPxq3mhQsVTlV3kiRVrw7wx6WtgiAIgtCYuSoqMK9YCYC+XVuQZYzzf6H4gw+bVMeo1Wnlu73fATA4cTDJkckKJxIaI41Kw42db0QtqdlTvId1x/xjvIlpyRIAggcORB0S7PXjSxpN9SajFX+uxn70qNfPIQgNgSiiC37NoDNUL5n6df+vYlSAn9hVtIvFBxcDcF3KdeecNdgpqhN94vsgIzMrY5b4e/RjFStXINtsaJs3J6Cbf4xNkWX55CiXGP/IdKFUej0RkyYRPnkSAMZff8O8cqXCqeouNTYV8MxFd7ldyoYRBEEQhCbEvHSZ59qtRQtiHnyQiKk3IGk1WHfvpuDll7AfPKh0xHoxf998Sq2lRAZEMqH9BKXjCI1YQkgC49uOB2Bu9lyKLEWK5rEfPoxtbwaoVBhGDPfZeQKSkwns1RNk2bPJqJ904QtCfRJFdMHvDWs5jBBdCMVVxWzI26B0nCavuKqYb9K/AWBoi6H0ju9dq8dd1f4qgrRBHKs4xvLDy30ZUbhAbouFiuMF3dCxY/ymCz23IpeSqhK0Ki0dozoqHccrDMOGEXrZZQCUz55D5YaNCieqm3bh7QjSBmFxWNhXvk/pOIIgCILQJLjM5uoVhGGXj0OSJEIGDiT2kUfQxMTgKiml4I03MK9a1agLXhmlGfyV+xfgGeOiV+sVTiQ0dsNaDqNdeDvsLjsz02filpXb1Ne81DMLPahXLzRRUT49V/jVVyPpdNiy92HZvNmn5xIEfySK6ILf06v11ZvCLDywELvLrnCipsvhcvDZrs+oclaRFJbEle2urPVjDToDV7e/GvD8PRZUFvgqpnCBKv78E7elCk2zeAJ79lQ6TrUTo1xSIlMa1Yui0HGXEXKJZ+Pd0m++oWrHDoUTXTi1Sk33mO6ApxtdEARBEATfMy9Zimyzefax6dq1+uu6Fi2Im/EYgamp4HRR/sNsSr/4ArfVqlxYH6lyVokxLkK9kySJqZ2molfryTHmsPTQUkVyOIuLsWzZCoBh1Eifn08TEUHoWE9txjj350b5M0UQzkYU0YUGYVDiICIDIjHajKw6skrpOE2SLMv8kPkDR81HCdGFcEuXW9CoNOd1jD7xfUiJTMHpdvJ9xveNuiOmoXHbbJiXeVYIhI7xn1noQPUol+6x3RVO4l2SJBE+eRLB/S8Ct5uSzz7DmtlwN+ZMjUkFPEV08b0tCIIgCL7lMplO7mMzbtxp126qoCCi7rid8KsnglqNZfMWCl5+BcexYwqk9Z35++ZTZi0jKjBKjHER6lVUYBSTkj0jGhfkLOCI+Ui9ZzAvWw6yTECnjuhatKiXcxqGD/esdDEaMS1o+Ps7CcL5EEV0oUHQqDSMSxoHwNJDS6l0NJ1NcvzF+mPr2Zi3EQmJmzvfTHhA+HkfQ5IkpqRMQafWsa98H+uPrfd+UOGCVKxejbuyEk1MDEG9eykdp1pJVQlHzUeRkOgS1UXpOF4nSRIRN9xAYGp3ZIeT4g8/wnbggNKxLkiHyA4EaAIw2owcMDbM5yAIgiAIDYV5yRJkhwNdmzYEdOlc430kScIwYgSxD9yPOjwcZ0EBBa+82uDHyJ2QUZrB2ty1gBjjIiijX3w/usd0xyW7+HrP1zhcjno7t6uigsq1nn//hlGj6u28kk5Xvb+TecVyHAVihbnQdIgiutBg9I7vTUJIAlXOKsWWSzVVh02HmZM1B4DL215ep2WS0YHRXNbGMwt63r55GG1Gr2QULpxst1fP0jOMGY2kViuc6KQTo1zahrclRBeicBrfkNRqom65BX1KMrLNRvH7HzTILjGtSkvXaM9S8rSiNGXDCIIgCEIj5iovp+LP1QCEXnbZOVcQ6tu2Je6Jx9F3TEG22yn96itKv/sO2d5wx2RWOav4Nv1bAIY0H0KHiA4KJxKaohNNYgadgfzKfH7L+a3ezl2x6k9khwNtyxbok+t3jFFg164EdOniGRc1e45YhSo0GaKILjQYKklVvQv2n0f+pNxarmygJqLSUclnuz7D6XbSNborI1vVfdbaxS0upoWhBVXOKn7K+skLKYW6qPhrLW6TGXVUJMH9+ikd5xQnRrl0i+mmcBLfknQ6ou+8E12bNrgrKyl69z2cRUVKxzpvJ+aipxWmiYtpQRAEQfAR04ku9KQkAjp3qtVj1AYDMXff7dnYXJKoXPMXBa+/0SCvNwDmZc+j3FZOdGA0V7S7Quk4QhNm0Bm4vuP1AKw8vJKssiyfn9Ntt1OxciUAoaNGKTKKM3zSJNCosaanY925s97PLwhKEEV0oUHpHNWZpPAkHG4HCw4sUDpOoyfLMt/s+YZSaynRgdFM7TTVK7+g1So113W8DkmS2F64vbrbWKh/ssOBeckSAEJHj0bSnN+ce1+qdFSyr2wf0PiL6AAqvZ7o//s/tAkJuIxGit57D1d5udKxzkunqE7o1DpKraWKzIUUBEEQhMbOVV5O5Zo1AIRdfvos9LORVCrCLh9HzN13oQoOxnHkCAUvv9zgNjffW7KXdcfWAWKMi+AfukR3YUDCAGRkZqbPxOKw+PR8levW4a6sRB0dRWCPHj4915lo42IxjBgBQNmPPzbolS2CUFsXVER3Op0sW7aM//3vf5jNZgCOHTtGRUWFV8MJwj9JksSEthMAWJ+3noJKMX/LlxYdXMSekj1oVVqmd51OkDbIa8duYWjBiJaeX7qzM2dT5azy2rGF2qvcsAFXeTnqsDCC+/dXOs4pdhXvQkYmMSSR6MBopePUC3VIMDH33I0mJhpnUTFF7/0XV0XD2QNCp9bRKcrTESdGugiCIAiC95kWL0F2ONG1TUKfknJBxwjo1Im4J59Al5SE21JF8UcfUz73Z2Sn08tpvc/isPDd3u8AGNpiKO0j2iucSBA8JnaYSHRgNGXWMuZmz/XZeWSXC/OyZQAYRoxQdBRn6NixqMPDcRWXYFoqRu4Kjd95F9EPHTpE165dueKKK/i///s/io4v/3r11Vd56KGHvB5QEP4pKTyJLtFdkGW5XmeONTV7S/ayIMfT7X9NyjU0NzT3+jkubXMp0YHRGG1Gftsv/i7rm+x0Ylq0CADD6FFIWq3CiU61o9DTFdUUutD/Th0eTsy996IOC8Nx7BjFH3yA22ZTOlatpcakAmKkiyAIgiB4m7OsjIo1nlnoYePH12mFqCYigtgH7idk+DAAzEuXUvTOO36/Cm7evpNjXE6M+hQEf6BX65nWaRoSEhvzNpJWmOaT81Rt346ruARVcDDBAwb45By1pdLrCb96IgDmRYtxlpQomkcQfO28i+j33nsvvXv3pqysjMDAwOqvX3nllSxfvtyr4QThTMa3HY+ERFphGodMh5SO0+iUWkv5cs+XyMgMTBzIRc0u8sl5tGot16ZcC8Cao2vIKc/xyXmEmlk2bcJVUorKYCB40CCl45zC7rKTUZoBnJyz3ZRooqOJufceVMHB2A8coPijjxrMEsnO0Z1RS2oKLYXkV+YrHUcQBEEQGg3zokXgdKFv3x59h7pvpClpNERMmkTU7bcjBQRg27ef/BdfwpqR4YW03renZA/rj60HxBgXwT8lhScxopVntfWsjFkYbUavHl+WZUzHR3GGXHIJKp3Oq8e/EIG9eqHv0AHZ4aD8J9914AuCPzjvIvqaNWt48skn0f3jm7V169bk5uZ6LZggnE1CSAJ94vsA8Mu+XxRO07g43A4+3/U5FoeFFoYWXN3+ap+eLzkymYuaXYSMzKyMWTjcDp+eT/CQ3W5MC493oY8c4RcXYH+3t3QvDreDyIBIEkMSlY6jCG1CAjF334Wk12PLyKTkiy+QXS6lY51ToCaQlCjP8nIx0kUQBEEQvMNZWkrF2rUAhI47v1no5xLUswdxM2agTUzEbTZT9O57mBYs8KsVZRaHhe/3fg/AxS0uFmNcBL91WdJlJIYkYnFYmJUxy6vfR7bMTByHjyBptYRcPNRrx60LSZIInzwZVCqqtm/Hunev0pEEwWfOu4judrtx1fAi/ujRoxgMBq+EEoTauCzpMtSSmqyyrOqOVaHufs76mUOmQwRpg5jedTpate9HfFzZ/kpCdCHkV+az9KCYpVYfLFu24CwqQhUcTMhQ/7gA+7sTm812j+muyG7z/kLXujXR/74TSauhKm0HpTNn+tUL2jPpEevZ4Gh74XaFkwiCIAhC42BauNDThZ6cTEBy3bvQ/0kbF0vco494xkPIMsZff6P4/Q/8Zm8WMcZFaCg0Kg03dr4RtaRmT/Ge6k1wvcF8vAs9eOBA1CEhXjtuXemaJ1a/piybM6dB7K8gCBfivIvoo0aN4p133qn+XJIkKioqeOaZZ7j00ku9mU0QzioqMIrBzQcDnm70hlBY8neb8jaxJncNEhI3dr6RqMCoejlvsDa4uuN98cHFYgSEj8my7HkhBhiGD0Ol96+lsC63i13Fu4CmNw+9JgHJyURNnw4qFZYNGymf86Pf/7zrGt0VSZI4VnGMIkuR0nEEQRAEoUFzlpRQud4zxiRs3GU+O4+k0xE5bSqR06YiabVY9+yh4MUXseUc8Nk5a+PEGBcJiamdpqJT+9cKSkH4p4SQhOo3e+Zmz/XK9bD96FGs6XtBkjCMGF7n43lb2OXjUBkMOPPyqVi1Suk4guAT511Ef/PNN1m7di2dOnXCarVy3XXXVY9yefXVV32RURDOaHTr0ejUOo6Yj4iOxzrKrcjl+wzPEskxbcbQOapzvZ6/V1wvOkd3xiW7mLXXu8vehFNVbd+OMy8fVVAgIRdfrHSc0+w37sfisBCkDSIpLEnpOH4hsHt3IqdNA6Bi5UpMv/+hcKKzC9YG0yHC0yUnfjYLgiAIQt2YFh6fhZ6SjL6978eYBA8YQOyjj6CJicFVVkbhW29iXrFSketzi8PCrL2zAM8Yl7bhbes9gyBciGEth9EuvB12l52Z6TNxy+46Hc+8xLNiO6h3LzTR0d6I6FWqoCDCJlwBgPH3P3AZvTsPXhD8wXkX0Zs3b86OHTt4/PHHuf/+++nRowevvPIK27dvJzY21hcZBeGMDDoDI1p6Nu74Lec3nG6xbOhCWBwWPtv1GQ63g45RHRnbZmy9Z5AkiWuSr0Gn1pFjzGFN7pp6z9AUyLKMaYGnCz3kkktQBQUpnOh0J0a5dI3uilqlVjiN/wi+qB/h10wGwPTHH5hXrFA40dmlxqQCsKNoh7JBBEEQBKEBcxYXn+xCv/zyejuvrnlz4mY8RmCPHuB0UT5nDiWffYbbaq23DODp4jXajMQExXB52/p7/oJQV5LkWTmhV+vJMeaw9NCFjy11lpRg2bIFAMPIkd6K6HXBAwaga9UK2WqlfN48peMIgteddxEdQKPRcMMNN/Daa6/x4YcfMn36dAIDA72dTRBqZVjLYYToQiiyFLEhb4PScRocWZb5bu93FFmKiAiI4MZON6KSLuhHQ51FBkRWL3v7Zd8vlFvLFcnRmFl37cJx9CiSXk/IJcOUjnMaWZZPmYcunMpwySWEjfe8gCyf82P1i2p/1C2mGxISh0yHKLOWKR1HEARBEBok04KF4HIR0Kkj+rb124WtCgoi6vbbCJ88CdRqqrZuo+DlV3Dk5tbL+XcX72Zj3kbPGJeOYoyL0PBEBUYxKXkSAAtyFnDEfOSCjmNevhzcbvQdU9C1bOnNiF4lSRLhU64BwLJhI7b9+xVOJAjedd6Vsm+++easH4JQ3wI0AYxpPQaAhQcWYnfZFU7UsCw/vJwdRTtQS2qmd51OiE7ZDUqGNB9C69DW2Fw2ZmfOFmNdvEiWZUx/LAAgZOhQ1CHBCic63dGKo5RaS9GqtKREpigdxy8Zxo6tnoNY+s1MLNv8c1xKmD6MpHDPOJ60wjRlwwiCIAhCA+QoLKRyg6dJKHScMl3YkiRhGDaM2AcfQB0RgbOggIJXXq3O5SsWh6V61OTFLS6uvqYQhIamX3w/usd0xyW7+HrP1zhcjvN6vKuiksq/1gIQOmqULyJ6lb5NG88GxUDZ7NnI7rqNsREEf6I53wfce++9p3zucDiwWCzodDqCgoKYdnxmqyDUp4GJA1lxeAWl1lJWHVnFqNb+/8vFH2SVZfHLvl8AmJQ8iVahrRROBCpJxbUdr+XVTa+yq3gXO4p2kBqbqnSsRsGano790CEkrRbDyBFKx6nRidEfnaI6iW6jM5AkibCJE3Fbqqhct46SLz5HFfh/BHTsqHS006TGpLK/fD9pRWlc0vISpeMIgiAIQoNiXrgQ3G4COndGn9RG0Sz6pCTinnic0i++wJq+l9Kvvsa2bz8Rkych6bx/zXZijEtsUKwY4yI0aJIkMSVlCjnGHPIr8/kt5zeuan9VrR9fufpPZLsdbYsW6FMaRpNR2JUTqErbjuPwESrXriVk8GClIwmCV5x3J3pZWdkpHxUVFWRmZjJo0CC+//57X2QUhHPSqrSMSxoHwNJDS7E4LAon8n9Gm5Evd3+JjEzf+L4MTBiodKRqiSGJjGzlmfU2J3OO+Pv0As8sdE8XevCQwagNBoUT1ezEKJduMd0UTuLfJEki4obrq+eUFn/8P2w5B5SOdZoTb4DllOdgtInNhQRBEAShthwFhVRu2AhA6LjLFE7joQ4JIfquuwi9fBxIEpV//UXB62/gKCz06nn+Psblho43iMYKocEz6Axc3/F6AFYeXklWWVatHifb7ZhXrgIgdNRIJEnyVUSvUhsM1atnjPN/wVVRqXAiQfAOrww+bt++Pa+88sppXeqCUJ96x/emWXAzqpxVddq0oylwup18vvtzzHYzCSEJTEmZ4ne/kMe0HkNsUCwmu4n5++YrHafBs2VlY9+fAxo1oX66GU1xVTHHKo4hSRJdorsoHcfvSSoVUbfcTECnjsg2G8Xv/xf70fqZUVpbEQERtAxticzJWfeCIAiCIJybacECkGUCunZB30bZLvS/k1Qqwi67jJh77kYVEoLjyBEKX3mFqrQ0rxz/72NchrUcJsa4CI1Gl+guDEgYgIzMzPSZtWoUq9ywAbfZjDoqksCePeshpfeEDB2CNiEBd2Ulpt9+VTqOIHiF13YP1Gg0HDt2zFuHO6MPPviA1q1bExAQQL9+/di0adNZ7//jjz+SkpJCQEAAXbt2ZcHxTkzwjKJ59NFH6dq1K8HBwSQkJDBt2rR6eR6C96kkFVe0uwKAVUdWiU0pz+KXfb+QU55DgCaA6V2n+2V3h1at5dqUawFYd2wd2WXZCidq2E50oYcMHIg6PFzZMGdwosjaPrw9wVr/m9fujyStlqg77kDXNgm3pYqi9971ejdYXaXGpAKQVpSmaA5BEARBaCgcBQVYjr/ODRs3TuE0NQvo2JG4Jx6vvgYp/vh/lM+di+x01um4P2X9VD3G5cRKY0FoLCZ2mEh0YDRl1jLmZs89631ltxvz0mUAGIaPQFKr6yOi10hqNeHXeDYZrVi9BvuRC9tUVRD8yXkX0X/99ddTPn755Rc+/vhjbrjhBgYO9O04iNmzZ/PAAw/wzDPPsG3bNrp3787o0aMpPEPBYN26dVx77bXceuutbN++nQkTJjBhwgR2794NgMViYdu2bTz11FNs27aNn3/+mczMTMaPH+/T5yH4TueoziSFJeFwO1h4cKHScfzStoJtrDyyEoCpnaYSGxSrcKIzax/RnoGJnp8r32d8f96bsAgetv37sWVmglqNwY83oxGjXC6MSq8n5t//RpuYiNtkpujdd3GWlSkdq1qP2B6AZw+GSodYyikIgiAI52L6/Q+QZQK7d0PXSvk9i85EExFB7P33V++1Y166jMK3377g65BdRbvYlL/JM8al0w1o1VpvxhUExenVeqZ1moaExMa8jaQVpp3xvlVpaTiLilAFBxM8cED9hfSigOQOBPXuBbJM+ezZyLKsdCRBqJPzLqKfKESf+Ljqqqt49tln6datG1988YUvMlZ76623uO2227j55pvp1KkTH3/8MUFBQWc877vvvsuYMWN4+OGH6dixI88//zw9e/bk/fffByAsLIylS5cyefJkkpOTueiii3j//ffZunUrhw8f9ulzEXxDkqTqbvR1x9ZRUFmgcCL/kl+Zz7d7vwVgZKuRdI/prnCic7ui7RWE6cMotBSy6OAipeM0SKYFnjeUgvv1QxMVpXCampntZvaX7wega3RXhdM0PKrgYGLuvQdNTAyuklKK3nsPV0WF0rEAiAmKISEkAVmW2VW8S+k4giAIguDXHHl5WLZsASDUT7vQ/07SaAifOJGo229HCgzAvj+Hgpdexrp373kdp9JReeoYlzAxxkVonJLCkxjRyvPG06yMWTXuGyTLMubFSwAIuXgoKr2+XjN6U9jEiUg6HbZ9+7Fs2qx0HEGok/Muorvd7lM+XC4X+fn5zJo1i2bNmvkiIwB2u52tW7cyYsSI6q+pVCpGjBjB+vXra3zM+vXrT7k/wOjRo894fwCj0YgkSYT76bgD4dzahrelc3RnZFnm95zflY7jN2wuG5/t+gy7y077iPYNZnlkkDaISR0mAZ5NY3Mr/Gvms7+zHzyIdc8ekCQMY0YrHeeMdhfvRkamuaE5UYH+Wej3d+rQUGLuuxd1RATOvHyK//s+7qoqpWMBJ7vRtxduVziJIAiCIPg30x/Hu9BTU9G1aKF0nFoL6tmDuBkz0LZogdtspui9/2L8449ad57+lPUTJrtJjHERmoTLki4jMSQRi8PCrIxZp32f2LKysR86hKTVEnLxxcqE9BJNRAShl44FwPjzz7itVoUTCcKF89pMdF8rLi7G5XIRFxd3ytfj4uLIz8+v8TH5+fnndX+r1cqjjz7KtddeS2ho6Bmz2Gw2TCbTKR+CfxnfdjwSEtsLt3PYJFYVyLLMrL2zyK/MJ0wfxs1dbkatajgz1brHdKdbTDfcspvv936PW3YrHanBMC30dKEH9e2LNtZ/R/fsKNoB0CBWR/gzTVQUMffegyokBPuhQxR/+BGy3a50rOq56BklGVQ5/aOwLwiCIAj+xpGbi2XrNqBhdKH/kzY2lriHHyJ44ECQZUy//U7xf98/5+q4nUU72Zy/GQmJqZ2mijEuQqOnUWm4sfONqCU1e4r3sO7YulNuNy/xdKEHD+iP2mBQIqJXGYYP96yYNRox/bHg3A8QBD+lqc2dHnjggVof8K233rrgMEpyOBxMnjwZWZb56KOPznrfl19+meeee66ekgkXIjEkkd7xvdmcv5lf9v/C3T3uVjqSov48+idbC7aiklTc2uVWQnVnfpPIH0mSxOQOk8kqy+Kg6SCrj67m4hYXKx3L79mP5lK1YydIEqFjxygd54xsLhsZpRmAmIfuDdr4eGLuvovCt9/Blp1N8aefEn3HHUiaWv3K94n44Hhig2IptBSyp3gPveN7K5ZFEARBEPyV8Y8Fni70Hj3QNU9UOs4FkXQ6IqfegL5dW8pmfY81PZ2CF18i6rbb0Ce1Oe3+lY5Kfsj4AYDhrYbTJuz0+whCY5QQksD4tuOZt28ec7Pn0iGiAzFBMdiP5lavJA4ZPlzpmF4habWET55E8QcfYl65guCBA9DGxysdSxDOW6060bdv316rj7S0NJ8FjY6ORq1WU1Bw6ozrgoIC4s/wzRcfH1+r+58ooB86dIilS5eetQsdYMaMGRiNxuqPI2KXYb90WdJlqCU1maWZZJZmKh1HMTnGHH7O/hmACe0mkBTeMOcLhgeEM76tZ9PfX/f/Sqm1VOFE/s+00PMuf2DPHn59kbK3ZC9Ot5PowGgSghOUjuMzNqeL9GMm5m0/ynvLs1maXuCzzXV0rVoR/e87kbRarLt2U/r1N4pu5CNJEqmxqQCkFaUplkMQBEEQ/JX9aC5V27aBJBE27jKl49RZcP/+xD76KJq4OFxlZRS++SbmFStOux45McYlPjiey9o0/OctCOdjWMthtAtvh91lZ2b6TNyyG/PSpcDx13B+vJL4fAV27UpA1y7gdFE+Z47YZFRokGrVlrZy5Upf5zgnnU5Hr169WL58ORMmTAA889mXL1/OXXfdVeNj+vfvz/Lly7nvvvuqv7Z06VL69+9f/fmJAnp2djYrV64kqhab7un1evQNeGOHpiI6MJpBzQfx55E/+WX/Lzwc8TCSJCkdq16Z7WY+3/U5btlNj9geXNLiEqUj1cngxMFsyd9CjjGH2Rmz+Vf3fzW5v9PacuTlUbXNM386dOylCqc5uxOjXLrFdGsUf5+yLHO0rIrMfDOZBWYy8s1k5Jk4UFyJ033qxeKIjrG8OrEbUSHe/50S0KEDUbffRvHH/8OyeTOqoEDCp0xR7P9xakwqSw4uIb0kHbvLjk6tUySHIAiCIPgj0x9/AMcLZ4kNswv9n3TNE4l77FFKv/2Wqq3bKJ/zI7Z9+4mcegOqwEB2FO2oHuNyQ8cbxBgXocmRJM8Io5c2vkSOMYflO+aRcmJj4ZEjFU7nfeGTJpG/dy/W9L1Yd+wgMDVV6UiCcF4azEx08IyV+fTTT/n666/Zu3cvd955J5WVldx8880ATJs2jRkzZlTf/95772XRokW8+eabZGRk8Oyzz7Jly5bqorvD4eDqq69my5YtfPfdd9WbpObn52P3gxmyQt2NaT0GnVrHYdPh6kJdU+GW3Xy5+0uMNiNxQXFc3/H6Bl+glCSJ6zpe55kdV7KHrQVblY7kt0yLFnuWA3fv5tfLgZ1uJ3uK9wDQLbrhjXIxWhxszCnhm/UHeXzeLq76cC1dn13C4NdWMv2bLby+OJPfdhwju7DitAI6wLK9hYx+Zw2rMgt9ki+wa1eibroRJImKP1dj+vVXn5ynNloYWhAZEIndZSe9JF2xHIIgCILgb+xHjlC1ffvxLvSGNwv9bFSBgURNn0745MmgUVO1bRsFL7+C8WB29RiXEa1G0DqstbJBBUEhUYFRTEqeBMC+32ZRZatAn5yMrnVrZYP5gDY2tvrNgbIff/SLvZsE4Xxc0IDULVu2MGfOHA4fPnxasfnnn3/2SrCaXHPNNRQVFfH000+Tn59PamoqixYtqt489PDhw6hUJ98XGDBgALNmzeLJJ5/k8ccfp3379syfP58uXboAkJuby6/HCwqp/3gHbOXKlVzcwHdBFsCgMzC85XAWHljIr/t/pWt01wa1oWZd/JHzB1llWejUOm7rdhsBmgClI3lFfHA8Y9qM4Y+cP/gp+yc6RnUkWBusdCy/4igsxLJpEwChl/p3F/r+8v1YnBaCtcF+PWrI5nSxv7CSzALT8c5yM5n5ZvJNdd9dvrjCxk1fbuamAa15bGwKAVrv/owK6tMHt9VK2XezMC1chBQUpEhny4mRLisOr2BH0Y7q8S6CIAiC0NSZfv8dgKDevdA2a6ZwGu+TJAnDsEvQtW5Nyaef4iwsZNczDxHWN5jgXp24tI1/X68Kgq/1i+/HniNbiU3fxVG3kWbD71c6ks8YxoyhcsNGXCWlmJYsbRTjq4Sm47yL6D/88APTpk1j9OjRLFmyhFGjRpGVlUVBQQFXXnmlLzKe4q677jrj+JZVq1ad9rVJkyYxadKkGu/funVrMYepCRjWchirj66m0FLIxryNDEgcoHQkn9tZtJPFBxcDcF3KdcQH++887AsxstVIthZsJb8yn5+zf2Zqp6lKR/Ir5uNd6AGdO6Nr1UrpOGe1s3gn4BnlopKUXxz1z1Ese/NMZOabaxzFcqESwwOx2J2UWRynfP2rdQdZt7+Yd6f0oGMz727+GzJ4MO5KC8b58zHO/RlVYBAhgwZ69Ry1kRrjKaLvKt6Fw+1AqxLLtgVBEISmzX7o0MmN4C9r3MUkfVIb4p54gvT3X8a0ZTfdV5bSXtsPTU8ZmkafkyDUSJIkxhU0Y4dLoihCYmnAPq6iu9KxfEKl1xN+9URKPv0M8+LFBPe/CE0txioLgj847yL6Sy+9xNtvv83//d//YTAYePfdd2nTpg133HEHzRrhu+ZCwxeoCWRM6zHMzZ7LHwf+oE98n0Y9b6/IUsTM9JkADG0xlN7xvRVO5H0alYbrUq7j7a1vszFvI33j+5Icmax0LL/gLCmhcuNGAEIv8++uHlmW2VF4fB66AqNcjBYHGfmm48VyM5n5JrIKKqiwOb1y/NAADSnxoaQ0M5AcbyAl3kCHOAOGAC1FZhuP/LSDlZlFpzwmq6CCK95fy6NjU7h5QGtUKu+NYAodMxq3xYJ5yRLKvvsOVWAAQb16ee34tdEmrA1h+jCMNiNZpVl0ju5cr+cXBEEQBH9jPNGF3qePX28E7y1VOpnvBjiIV8UzcLcL/bYMCgpfJ+q229DGNZ5NFAXhfMh2O87VG2ge0pytqW6OHVlFl5iudIjooHQ0nwjs2RN9cjK2zEzKf5pL9B23Kx1JEGrlvIvo+/fv57Lj75DrdDoqKyuRJIn777+fYcOG8dxzz3k9pCDU1aDmg1hxZAVl1jL+PPonI1qNUDqSTzhcDj7b9RlVziqSwpK4sp3vV4coJSk8icHNB7P66Gq+z/iex/s9LjYqBMxLloDLhT45GX2S/45HAThiPkK5rRydWkdKZIrPznPKKJY8z0af3hrFAqBVS7SNCaFjs1CS408WzONDA5DcLqjIB2MuGDfD0Vww5hJjKeGLroP4rsNgnl+Yjc3prj6e3eXm+d/TWZVZyBuTuhMX6r1RTGFXTsBdZaFyzV+UfPklkj6AwC71V8iWJIlu0d1Yk7uGtKI0UUQXBEEQmjT7wYNYd+0+3oXu380P3vJj1o9UOCqpGNKdjuMmYPzyGxxHj1LwystETp1GUM8eSkcUhHpXuXEjbrOZ8LiWtBrcidyCDcxMn8mMvjMI0gYpHc/rJEkiYvIk8l98iart27Hu3UtAx45KxxKEczrvInpERARmsxmAxMREdu/eTdeuXSkvL8disXg9oCB4g1al5bKky/g2/VuWHFzCgIQBje6XkSzL/JD5A7kVuYToQrilyy1oVBe07UGDcXnby9lRtIPiqmIWHFjAhHYTlI6kKGdZGRVr1wL+PwsdqN7st1NUJ6+sDvn7KJaMfFN1sTynuBKXF0expMQbjneXh5ISb6BNdDBa2QnmPDAeBdNW2HnEUzg354PsqvFYUtYibog7ykX/uo175maTnmc65fY12cWMeWc1r0zsxujO3ulMkySJiGuvRa6qwrJlKyX/+x8x996Dvl07rxy/NlJjU1mTu4YdRTuYkjylyexTIQiCIAj/ZPz9DwCC+vVFe3yfr8YsrTCNrQVbkSSJqZ2mEhLaisAnHqfks8+w7dtPySefYBs+jPArr0TSNO7XMYJwgux2Y166DADDiOFM7DiILNM+iquK+SnrJ6Z1nqZwQt/QJiYScvFQKlaspGz2bOKffFJ83wt+r9b/Qnfv3k2XLl0YMmQIS5cupWvXrkyaNIl7772XFStWsHTpUoYPH+7LrIJQJ33j+7Ls0DLyK/NZdngZ49uOVzqSV60/tp6NeRuRkLi5882EB4QrHcnnAjWBXJN8DZ/s/ITlh5fTK64XLQwtlI6lGPOyZeB0oW/XFn2H9krHOaedRcfnoV/AKJcTo1gy8k90ltfTKBa1C0y5x4vl2yAjF4xHoKIQOEOhXqOH0OYQ1hzCEj1/Oqyw6X9QsJt2lleYN+1h3lxv4pPVOac8tMzi4I6ZW7m2bwueGteJIF3dLywllYrIm27CXWXFumcPxR9+SMz996NrUT/fO+3C2xGkDcLisLCvfJ8YxSQIgiA0SbacA1h37waVqkE0P9SV2W7mh8wfABjVahStQj379qjDw4m57z6Mv/yKeelSKpavwH7wIFHTp6OJiFAysiDUi6q0HTgLC1EFBRE8aBAqtZ5pnabx9ta32ZS/iW4x3UiNTVU6pk+EjRuHZfMWnPkFmFeuJHTkSKUjCcJZ1frVeLdu3ejTpw8TJkyo3qjziSeeQKvVsm7dOiZOnMiTTz7ps6CCUFcqScX4tuP5ZOcnrDy8kqHNhxKmD1M6llccNh1mTtYcwNOd3ZSKUt1iutEjtgfbC7cza+8sHur9UJPsbHWZzVSuXgN4utAlyXuztH2hyFJEXmUekiTRJbrLGe93YhRLRr7peId5PY1iCXAhmY6B6SgYt0FOLqQdhcrisxws6Hih/PhHaCKEtYCgSKjp7yMsEf58Dcx56Jc/zeODH2Roh348OGfHac/v+01H2JhTyjtTUunWPLzOz1vSaIi643aK//tfbNn7KHrvv8Q+9GC9dMGpVWq6x3Rn/bH1pBWmNamfV4IgCIJwgun4LPTgi/qhjW38s8DnZM6hwl5Bs+BmjGkz5pTbJI2G8IlXoW+bROk332Dfn0PBiy8RdcvNBHTqpFBiQfA9WZY94ziBkKFDUOn1gGd06cjWI1lycAmzMmZV7yvU2KiCggi/cgKl38zE9PsfBPfpgzo8XOlYgnBGkizLtVrjvmbNGr788kt++ukn3G43EydOZPr06QwePNjXGf2eyWQiLCwMo9FIaGio0nGEs5Blmbe3vk2OMYdBiYOYkjJF6Uh1Vumo5NVNr1JqLaVrdFdu73a73xdQvc1oM/LChheoclZxZbsrGd6q6a2KKf95HuYlS9C1akXsY4/6/b+B5YeWM2/fPDpEdOCenvfgdsvklldVd5X7ahRLx+Od5dWjWEKcaCvyTnaXG496/ruq7MwH0oee7Cr/e4d5QHjNxfKzsZTC6jegdD+oNNBnOuXNBjLj510s3J1/2t01Kon7R3bgX0PbovbCpqNui4XCt9/BceQI6ogIYh95uF66vvaU7OGjtI8I04fxwsAX/P7fqyAIgiB4k23/fgpffwPUapo9+wyamBilI/nU9sLtfL7rcyRJ4uHeD9MytOUZ7+soLKTk089wHDnimRV/6aWEXnYpkkpVj4kFoX5Ys7IoeuttJK2GZi++iPpv9SSn28kbW97gqPkonaM7869u/2qU18yyLFP42uvYDxwgqF8/om6+SelIQhNU27purYvoJ1RWVjJnzhy++uor1qxZQ7t27bj11lu58cYbiW8Cu4nXRBTRG5Z9Zft4Z9s7SJLEUxc9RWxQw+38kGWZj3Z8RHpJOtGB0TzS55FGN+u9ttblrmNWxiy0Ki1PXPQE0YHRSkeqN66KSvKeeALZZiP633cS2O38x6PUp3KLnRfWv0F22T6i3EMpL25HZr6ZSnvNs8PPV2iAhpRmniJ5cryBlLgQOoS5MFjz/zaK5fifNvOZDxQYeXL8SuiJonkiBHj557zTDhs+gMMbPJ93ugK52xR+3JbLs7/uwVLD/5e+bSJ5a3J3mkfU/fvdZTZT+MabOAsK0MTFEfvQg6gNhjof92ycbiePrXkMq9PKA70eICncvzfBFQRBEARvKnz3XWx7MwgeMIDIaVOVjuNTZruZFze+SIW9gtGtR3N528vP+RjZbqfsxx+pXPMXAPqOKUTdcovPr08Eob4VffAB1l27CR48iMjrrz/t9mMVx3h106u4ZBdTUqYwKHGQAil9z37wIAWvvgayTOzDD6Fv21bpSEIT47Mi+t/t27ePL7/8kpkzZ5Kfn8+YMWP49ddfL/RwDZYoojc8H+34iD3Fe+gZ15NbutyidJwLtvDAQv7I+QOtSsuDvR+kuaG50pEUI8sy721/j+yybJIjk7kr9a5G+U59TYy//YbpjwVoW7Qg7vEZfvm8V2QU8N2Gw+w5ZiK/opzAhNmAjDVvErIr+IKOqVVLtIs1VBfLk+NC6BRmI9ZdgmQ66tnY88SfjrNsfB0c87fxKydGsSSA7sJyXRBZhl0/wu65ns+b94H+d3HQ6OK+2WmkHSk/7SGGAA0vTOjCFamJdT69s6yMwtffwFVairZFC2Lvvw9VkG/fkPt6z9dszt/MJS0uYWKHiT49lyAIgiD4C9u+fRS+8aanC/0/z6GJilI6kk99vutzthduJyEkgYf7PIxWVfvN5Cs3bKDsu1nIDgfq8HCibpsuimtCo+HIzSX/+RdAkoh/9lm0cTU3951YwatT65jRdwYxQY1z5UrpzG+pXLvW85p2xmNi9YlQr+qliA6ezvTvvvuOGTNmUF5ejsvlnU7ChkQU0Rue3IpcXtn4CjIyj/Z5lBahDW8zyr0le/kw7UNkZG7odAMXNbtI6UiKK7QU8tLGl3C6nUzrNI2+zfoqHcnn3BYLeU8+idtSRdTttxPUs4fSkU5htDh45tfdzE87Vv01dXA2uoi1uO1R2ArP3Y0E/xjFEhdC51ArrTSlaMzHTnaWm3LBaTvDESQwxP9tBMvxgrkhAbQBXnimXnJgDWz8GNxOiGgDQx/BoQ/nv8uzeX/lPmqabHNlj0Seu6IzoQG1f1FaE0dBAYVvvInbbEbfri3R99yDSqer0zHPJq0wjc92fUZkQCTPDXjOL9/8EQRBEARvK3z7HWyZmWfsPG1MthVs44vdXyBJEo/0fuSCXnM5cnMp/uRTnAUFoFYTftWVhAwbJq4bhAav9OuvqVy/gcAePYi+4/Yz3u/vzWJJYUnc1+s+VFLjKzC7zGbyn3kGt6WKiOuuJWTIEKUjCU1Ibeu6td5Y9J9Wr17NF198wdy5c1GpVEyePJlbb731Qg8nCPUqMSSR3vG92Zy/mV/2/8JdPe5SOtJ5Kakq4cs9XyIjMzBxoCigHxcbFMvYNmP5bf9v/JT9Ex2jOmLQNe5lnxWrVuG2VKFpFk9gj1Sl45xiZWYhj83dSYHp1MK2OvAQAK6q0+dh/n0US0psIF1Cq2inLyeoKh9MuzwF84xjniJzTVSa48Xyf4xgCU0Add2KzPWizWAIifXMSS87AIsfRzv0ER4YlcyQDjHcNzuNo2VVpzxk3vZcNh3wbDrap3XkBZ9aGxdHzD13U/T229j27afkf58Qfee/kDQXfKlwVp2iOqFT6yi1lnLEfOSs81EFQRAEoTGwZmVhy8wEjZrQsWOVjuNTZruZ2ZmzARjdevQFNy1pExOJm/EYZd9+i2XLVsp//Anbvv1ETr3B56vmBMFXnGVlVG7aDIBh5Miz3leSJG7oeAMvb3qZHGMOSw8tZXTr0fURs16pDQZCx11O+Zw5GH/5lcCevVCH1OPKYEGohfPqRD927BhfffUVX331Ffv27WPAgAHceuutTJ48meDgpvuPW3SiN0zFVcU8v/55XLKLu3vcTXJkstKRasXhdvD21rc5bDpMC0MLHuj1ANqGUBysJ063k9c2v8aximP0ie/DjZ1vVDqSz7itVvKeeBJ3ZSWRt9xMcF//6LyvsDl58Y90vt905PQbJQcBCT+gUrlJdF1Pl7hWdIwNoGtoJR0CjEQ6C5FMuZ4RLOZ8kM+wukmtPV4c//sIlkQIiQO1b4q+9aqiEFa94umuV+tgwN3Qoi8mq4Nnf9nDz9tzT3uISoL/u6Qd9wxvj1Z94d0ptv37KXrnXWSHg6DevYi85RafLaf8bNdnpBWmERkQSa+4XvSM7UlzQ3PRXSYIgiA0SoVvvoUtO5uQoUOIuPZapeP4jCzLfL77c9IK00gISeCRPo+gUdXt+kyWZSr+/JPyn34CpwtNTAxRd9yOrnnTHWcpNFzlc+diXroMffv2xD74QK0esyFvA9+mf4taUvNQn4doYWh4q+nPRXa5KHjpZRy5uQQPGUzkddcpHUloIrw+zmXs2LEsW7aM6Ohopk2bxi233EJycsMoOvqaKKI3XHMy57D66Gpahbbiod4PNYjCzeyM2azJXUOQNohH+zxKVGDjnqN4IQ4aD/LmljeRkfl36r/pFNVJ6Ug+YVqyBOPP89DExhL/7DN+MTdu3f5iHvlp52nd0gBRAW6m9ilil20RzTU6ng3t6imYVxQCZ/hVpNEf7yhvfuomn8Ex4AfP16fslbD2Xcjb4fm8+7XQ6QqQJH5Jy+XJ+bsxW0/vyO/eIpx3r0mldfSFv7ldtXsPxR9/BE4XwYMHEXHddT75+ZhVlsXHOz7G7rJXfy06MJoesT1EQV0QBEFoVKyZmRS9/Q5o1DR7/nk0ERFKR/KZrQVb+XL3l6gkFQ/3edirxT7bgQOUfPoZrtJSJK2W8CnXEDJwoNeOLwi+5rZYOPb4E8hWK9H/938Edu1Sq8fJssxnuz5jR9EO4oPjebTPo42ymc6alUXRW2+DJBH3+Ax0LRrfmwWC//F6EX38+PHceuutjBs3DrVa7bWgjYEoojdcJruJZ9c9i91lZ3rX6aTGpiod6aw25W3im/RvkJD4V+q/6BzVWelIfmtu1lxWHllJZEAkT1z0BHq1XulIXuW22z1d6GYzkTdOI7h/f0XzVNldvLoog6/WHazhVpm7m+/n3+EbmSMXslmuZLjKwJWqv7141Aad7Civ3uSzBQRFQlMuorpdsPUryF7i+TzpYuhzG6g1HC2z8MCcHWw6UHraw4J0ap69vDOTel94EdqydSsln30Osoxh1CjCr7rywp/HWdhcNvYU72Fb4Tb2FO/B4XZU33aioN4jtgctDC1EQV0QBEFokGRZpujNN7Ht20/IxRcTMeUapSP5jMlu4oUNL2BxWBjTZgzjksZ5/RyuikpKv/oK6+7dAAQP6E/4lCk+3ctFELzFtGgxxvnz0SYkEPfUk+d1fWu2m3lp40uY7WaGtRzGVe2v8mFS5ZR8/jmWzVvQtU0i9qGG0ewoNGz1trGoIIroDd3vOb+z6MAi4oLieLzf46hV/vkmUW5FLm9sfgOH28HYNmO5LOkypSP5NZvLxosbXqTUWsolLS5hYoeJSkfyKvOKFZTP+RF1VCTNnnvOZ3Ora2ProTIe+nEHB4orT7utma6K/3XYTFfVAVwyzKCQKo2OBxJHkBTT7WSHeUB40y6Wn0vmIk8xHRliO8LgB0FvwOWW+fjP/by9NAtnDbuOju0Sz0tXdiUi+MJeVFb8tZayb78FIGzCBELH+Hb+4tkK6lGBUdUF9ZaGluJiWhAEQWgwrHv3UvTue0haDc2efx51eLjSkXzi72NcEkMSebjPw3Ue43K2c5kXLcL4628gy2gTE4m6/Xa0cbE+OZ8geIPscJD35JO4jCYib7qR4IvOf2+z3cW7+XjHx0hI3N3zbjpEdPBBUmU5y8rIf/Y5ZJuNyJtuIviifkpHEhq52tZ1G/laeEE4t+EthxOkDaLAUsDG/I1Kx6mRxWHh052f4nA76BjVkbFtGvdGRN6gV+u5JsXT5bPqyCoOmQ4pG8iLZLsd82JPZ3LomDGKFdBtThevLMxg0sfraiygX59YwLKU3+mmOoik1rGv42iq4jsTktCT1gMfguQxEN8FAiNEAf1cksfAxY+CJgAK98LiJ8B0DLVK4v8uacfP/x5AmxrGtyzcnc+Yd1ezdl/xBZ02ZNBAwiZ6OlyM8+dTsXp1nZ7GuejVenrG9WR61+m8MuQVbulyCz1ie6BT6yipKmHZoWW8vvl1nl3/LPOy53HIdAjRCyAIgiD4M1mWMf7+OwDBgwY32gI6eMa4pBWmoZJU3NDpBp8V0MGz2WLo2LHE3HcvKoMBR24uBS+/jGXbNp+dUxDqqnLTJlxGE+qICIJ6976gY3SJ7sKAhAHIyMxMn4nFYfFySuVpIiKqN182zvsZd9Xpo0IFQQmiiC7UjekYlB5QOkWdBGoCGdN6DAALchbgcDnO8Yj6Jcsy3+79luKqYiICIrip802oJPGtWxudozrTO643MjLf7f0Op/v0+dENUeWGDbiMRtQRERfUveANu3ONXP7fv/j4z/38swHaoHHyfbcdvBC5iGCqIKI1jH6ZncEGQKJrdFfxb/hCJPSAUc9DcDRUFHgK6fm7AOjWPJw/7hnEtX1PnxlYYLJx/WcbefGPdGzOM2zUehahI0cSOtbzM7Ls+x+wbN5ct+dRSycK6rd2vZWXB7/MrV1vPaWgvvzwcl7f/DrPrHtGFNQFQRAEv2VNT8e+PwdJqyV09Cil4/iMyW5iTtYcAMa0HlNvmx4GJCcT/8Tj6Nu3Q7ZaKfnkU8rmzEF2No7rfqHxkGUZ85KlABiGD6tTI9TEDhOJDoymzFrGT1k/eSuiXzEMH4YmNhaX0YRpwQKl4wgCIIroQl1YjbDyJVj2DOQ27Hf8BycOJiIggnJbOauP+rbT8nwtP7ycnUU7UUtqpnedTrD2wjcLbIomdphIkDaIYxXHWHF4hdJx6kx2OjEtXgyAYeRIJG39bibjcLl5Z1kWEz5YS1ZBxWm3X9qsgrXdFtOfHUiSCjqOh1EvIIc1Z0eRZ4PM7jHd6zVzoxLeEka/BNEdwGGBlS/DvmUABOk0vHxVN/43tRcRQaf/u/h0zQEmfLCO7ALzeZ82dPx4QoYOAVmm5Kuvqdq1q85P5Xzo1Xp6xPbg1q638srgV5jedXp1Qb3UWnpaQf2g8aAoqAuCIAiKk2UZ0+9/ABA8pPF2ocuyzOyM2VgcFpobmjOqdf2+WaAODyfmvvswjPaMnatYsZKi9/6LbLef45GCUH+sO3fiLChAFRRI8KBBdTqWXq1nWqdpSEhsyt9EWmGad0L6EUmrJXzyZADMK1biyMtTOJEgiCK6UBcqDYTEgdMGq1+H7GVKJ7pgWrW2esb44oOL/WZJVFZZFr/s+wWAScmTaBXaSuFEDY9BZ6jecGXhgYUUWgoVTlQ3lRs34iopRRVqIGTQwHo9d1aBmSs/XMs7y7JPm7+tV8t80uMg78fMI9RZAkFRMOxJ6HE9skrD0kNLMdqM6NQ6kiOS6zV3oxMQBsOegtaDQHbBpk9h2zfgdgMwunM8i+4bwuD20ac9dG+eiXH//Ytv1p9fkVmSJMKnTCGoTx9wuSj55FOsWVlee0rnQ6fWkRqbekpBvWdcz1MK6m9seaO6oH7AeEAU1AVBEARFWHfvwX7gwPEudN/uK6KkrQVb2VG0wzPGpaNvx7iciaRWE37lBKLv/BdSYAC2rCxKvvwK+fj1kSAozbTEM44zeMgQVAEBdT5eUngSI1uPBGBWxiyMNmOdj+lvArt0JqBbV3C5PCtMxDW9oDBRRBcunC4YLp4BbYaC7IbNn8L276CB/mDrG9+X+OB4LE4Lyw8vVzoORpuRL3d/iYxM3/i+DEyo34JpY9Ivvh/Jkck43A5+yPihwf7ylV0uzIv+1oWuu7DNIs/Xic0rx733F7tzTafdPjDOybpefzLKtRoVMrQaAGNfg/gulFpL+e/2//Lr/l8Bz6oPrbp+u+cbJY0O+t8FXSd5Ps/4A9a8AQ4rAHGhAXx9c1+eGtcJnfrUX/U2p5unf9nDLV9tpshsq/UpJUki8sZpBHTriuxwUPzhR9gPKbvXwImC+i1dbqkuqPeK63VKQf3NLW/y9Lqn+Tn7Z1FQFwRBEOqNpwvdMws95OKhqM+yUVlDZrQZq8e4jG0zluaG5ormCezeneh/3QkaNVXbt1M+50fxu19QnG3/fuz7c0CjxnDJJV477qVtLqW5oTkWh4VZGbMa5b/18KuvRtJqsO3NoCotTek4QhMniuhC3ag1cNGdJws5e3+Fte+As+EtnVNJKsa3HQ/AyiMrFX0n1+l28vmuzzHbzSSEJDAlZQqS2HjxgkmSxLUp16JVackqy2J93nqlI10Qy5atOIuKUAUHEzJkSL2c80BxJZM+XscrCzOwu07t5FGr4I2epcxMmEuU9TBoAz2F3YH3IuuC2ZS3iZc2vkRWWRY6tY4pKVOY0G5CveRuEiQJul4NA+8FtRZyt8LSp6HSs4moSiVx66A2/HLXQJLjDKc9fGVmEWPeWc2KjILan1KjIXr6dPTt2yNbrRT9930c+flee0p1caKgfnOXm3l18KunFNTLrGWsOLxCFNQFQRCEemPdvRv7oUNIOh2GUY1zFrosy/yQ8UP1GJeRrUYqHQmAgOQORN18MwAVq1ZVz6EWBKWYT3ShX9QfdViY146rUWmY1mkaaknNnuI9rD221mvH9hfa2FgMIz0/W8p/+gm3GNMkKEgU0YW6O1HIuejfnhEvhzfAiufBdv5zd5XWNborbcLaYHfZWXRgkWI5ftn3CznGHAI0AUzvOh2dun46jhuz6MBoxiWNA2B+9vwGt9xNlmVMixYCYBgxHJVe79Pzud0yX609wNh3V7PtcPlpt3eNUfHXgDSudv6OymWDmBQY+zq0GUylo5Ivdn/BN+nfYHVaaR3amhl9ZzAocZB4M8gXWg2A4c94xryUH4LFj0PxvuqbOzYL5Ze7BnLzwNanPbSk0s4tX23hqfm7qbLXbtNRSacj+t93omvVCndFBUXvvIuzpMRbz8YrtGptrQrqT619irlZc8kx5ihWUHeWlVG5fj0lX35F4ZtvYdmyRZEcgiAIgvfIsozxt98ACLn4YtSG09/Mbgy2FGxhV/Eu1JKaqZ2mKjLG5UyCevUifNLVABjnzaNyw0aFEwlNlSMvj6odO0GSMIwc4fXjJ4QkVDcD/pz9M0WWIq+fQ2mGMWNQR0TgKinFvHiJ0nGEJkySRRtWnZlMJsLCwjAajYQ20mV6tZa/G9a86dnwzhDvGfdiiFc61XnJLsvm3W3vopJUPHXRU8QExdTr+bcVbOOL3V8AcHu32+kW061ez9+Yudwu3tjyBkfMR6o3KWwoLFu3UvLpZ6iCAmn2wguogoJ8dq4jpRYe+Wkn63NOL4xKEjzZ08FNqoWobeUgqaHbZM8GoioVe0r2MGuvZyafSlJxadKljGw5ErVK7bO8wnEVRbD6NSg/7OlMv+j/oFX/U+7yZ1YRD/24o8YxLu1iQ3h3SiqdE2rXHeOqqKDwzTdx5uWjiYkh9qEHvdpZ4wsOl4P00nS2F2xnZ/FO7K6TnSzh+nB6xPagR1wP2oS28dkbPq6KSmxZmVgzMrBlZOIsPH2fhpBLLiF84lVIGv8pRgiCIAi1V7VjB8UffYyk19PsxRdQh4QoHcnrjDYjL254EYvTwrikcYxpM0bpSDUqnzsX89JloFYTc9f/EdCxo9KRhCam9JuZVK5bR2BqKtH/usMn55Blmfe2v0d2WTZJYUnc1+s+VFLj6pk98XpY0mqJf+ZpNNGn7/8kCBeqtnVdUUT3AlFE/4fyI7DqFbAUg94AQx6BmA5KpzovH6Z9SHpJOr3ienFzl5vr7bz5lfm8tvk17C47I1uN5Ip2V9TbuZuKI6YjvLblNWRZ5l/d/0WX6C5KRzonWZYpeOFFHLm5hF52KWGXX+6z88zefITnf0+nsoau5LaRWj5PzaZ18WrPFwzNYOA9EJmE3WVnXvY81uSuASAuKI4bO99Iy9CWPskqnIGjCta+B8e2eT7vNhk6X+V59+O4kgobj87dxbK9p49x0aolHh6dzPRBSahU5y4iO8vKKHzjDVwlpWgTE4l94H5UwcFeezq+5HA52Fu6l20F29hVvAub6+QbC9UF9dgetAmrW0HdbbNhy96HLTMDa0YmjqNHT907RJLQtW5NQEoyssOBeZlnTw5d2ySipk9HExFxwecWBEEQ6p8syxS8+BKOo0cxjBlN+IQJSkfyOlmW+WTnJ+wq3kULQwse7P2gX3Wh/50sy5R+8QWWzVuQ9HpiH3oQXYsWSscSmghXeTnHnnwSnC5iH3kEfVIbn52rpKqElze9jNVp5fK2lzO6dePazFiWZYreeRdbZiaBqd2J/te/lI4kNCKiiF6PRBG9BlVl8OdrUJrj6Yjsfze07Kd0qlo7aj7KK5teAeDRvo/SwuD7Cy2by8brm18nvzKf9hHtuSv1LtG96yPzsuex/PBywvXhPHnRkwRo6r47ui+d2s30IuoQ7xcpC0xWHp27k1WZNS//u6enjrsDFqCtOOb5QvuR0GMqaPQcNB7km/RvKLR4OmqHthjKhLYTxAaiSnG7YftMyFzg+bz1YOh3h+dn8XGyLDNr02Ge/z0dq8N92iEGtI3izcndaRYWeM7TOQoLKXzjDdwmM7qkJGLuvcfn44a87URBfXvhdnYW7TyloB6mD6NHbA96xvasVUFddjqxHziANSMTW2YGtgMHwXXqm1LahGbok1MISElG3779KStLqnbsoPTrr3FbqlAZDERNn05AcsN6I1oQBKEps2zbTsknnyAFBNDshRd8ct2mtE15m/gm/RvUkppH+j5CYkii0pHOSnY4KHr/A2yZmajDQol95BE0UVFKxxKagPKf52FesgR9+3bEPvigz8+3IW8D36Z/i0pS8XCfh2usY5RU2Nh+uJx2sSG0jm5YP58cx46R/8KL4HYTc8/dBHTqpHQkoZEQRfR6JIroZ+Cwwtp3j3dEStDjekgZd0pHpD/7avdXbCnYQqeoTvw79d8+PZcsy3y15yu2FmwlTB/Go30fJVQn/i35it1l56WNL1FcVcyQ5kOYnDxZ6UhnJMsyha+8iv3QIQyjRxN+5QSvH/+XtGM88+sejFWO025PDAvgs4sK6FjwB7idoA+Fi/4Fib1wup0sObiEhQcXIssyYfowpnaaSkpkilczChcoeyls+QJkN0R3gCEPeeam/82+wgrum72d3bmm0x4eFqjl5au6cmnXZuc8lf1oLkVvvYnbUkVAp45E33knkrZhvolyroJ6amwqPWN7khSWhCRJyLKM48gRrJmZ2DIyse3bh2w7dVyOOiqSgOQUAjqmoE9ORn2OawVHYSEl//sER24uqFSETbgCw8iRYk8BQRAEP3fK6sFLxxI2frzSkbzulDEubccxprV/jnH5J7fFQuGbb+HIzUUTF0fsww83yjc4BP/htlg49sQTyFVWov/v3wR27erzc8qyzGe7PmNH0Q7ig+N5tM+j1Y1N+wrNfLbmAD9vz8Xu9DTRDGoXzY0DWjMsJRZ1LVah+oOyH3+kYvkKNHFxxD/1pBh/KHiFKKLXI1FEPwu3G7Z+CdnHN39oPwp63QQNoMO6uKqY/6z/D27ZzT0976FDhO86AVcdWcVPWT+hklTc1/M+ksKTfHYuwSOjNIP3t7+PhMT9ve8nKcw//59X7d5D8fvvI2m1NHvpRa9uTFVcYePJebtZtCe/xttvTjXwWMQK9CV7PV9I7OXpaA4Io6CygG/Sv+GQ6RAAveJ6cU3yNQRpfTerXbgAeTvhr7c9+1QEx8DFj0FY81PuYne6eXtZFh//uZ+arggm9WrOM+M7E6I/+wWqLSeHonfeRbbbCezRg6jptyKp/f9n/dn8vaC+q3gXVqcVZJlgo42WBTKdyoJIKHAQaJf4+8sOlcFAQHKH6m5zTcz5763httsp+24Wlo2ejdACe/QgctpUVIHnXh0gCIIgKMOybRsln3yKFBhAwgsvNJgRZ7UlyzIf7/yYPcV7aGFowUO9H2pQK2edZWUUvvY6rrIydElJxN53L5JOp3QsoZEyLVmC8ed5aJrFE//00/XWDGG2m3lp40uY7WYuaXEJiZqL+XR1DsszTt+H54TmEYFMvagV1/RpQXiQf39PuC0W8p55FrfZTNhVVxI6apTSkYRGQBTR61FTLaI7XW7eW7GPGy5qSazhLOMwZBky/oDt3wIyJPSEgfeC1r9HaADMyZzD6qOraR3amgd7P+iTX3w5xhze2foObtnNxPYTuaTlJV4/h1Czmekz2Zi3kfjgeB7r+5jfzXKUZZnCN97Avj+HkOHDiJg0yWvHXrQ7jyfm7aak0n7abTEGPR8PsdGrYC7YKz1jQHreBO2GIwNrctcwL3seDreDQE0g1yRfQ+/43l7LJniZMRf+fBUqCkAbCAPvg4TU0+62fn8JD85J45jRetptraKCeOeaVHq0PPt8buvevRR98AE4XQQPGEDE1BsaRfe0q7ycir17OLJtDaW7t1FVXIBLPjkGR6XXE5DcgYTuA2jV62J0iYleed6yLFO5Zg1lc+aA04UmLo7oO25Hm5BQ52MLgiAI3iXLMgXPP4/jWJ5P97BR0sa8jcxMn4laUvNo30dJCGl4v48ceXkUvv46bksVgd27EXXHHUiqxrUBo6A82eEg78mncBmNRN44jeD+/ev1/DsKdvLCuvc4XGqh6PAw3LZzrywFCNCqmJCayI0DWtOxmf/WtirXr6f06288406fexZ1eLjSkYQGThTR61FTLaJ/v+kwM37eRZBOzb+GtmX64DYE6c5ShDy8Edb/F1wOiEyCIQ9DUGT9Bb4AJruJZ9c9i91lZ3rX6aTGpnr1+Ga7mVc2vYLRZqRHbA9u6XJLoyg4NRSVjkqe3/A8FfYKLku6jLFtxiod6RTWzEyK3n4HSauh2fPPe+XiwGhx8Myvu5mfdqzG2yd2jeT55psJyl3r+UJkWxhwF4QmYLQZ+W7vd6SXpAPQIaIDUztNJSJAbHzo96wmWPMmFGWApPKsCOpw+mZDRouDJ+bv4vedeafdplZJ3Du8Pf++uC0a9ZlfbFq2bafk009BljGMGE7YxIkN7ueau7ISa2YWtqxMrBkZOPNP3YRVVqswJ4SRE+0iLaycwkg18vH/J2H6MLrHdKdHbA/ahrdFJdX9hbkt5wAln36Kq6wMSacjcuoNBPXpU+fjCoIgCN5j2bKFks8+RxUUSLMXXjhlv4vGwGgz8sKGF6hyVjWoMS41sWVnU/Tee8gOJyFDhxA+ZUqDu1YR/FvlunWUfjMTdVgYzV58od5GjlTanMzefITP/zpAobQcTXAWsisYa/4VIJ9fh3nfNpHcNKA1ozrFnfXaXwmyLFP42uvYDxwgqF8/om6+SelIQgMniuj1qCkW0SttToa+voriipNzX+NC9Tw4KpmJPZufeZ5WURasfg1sZgiK9owWCPfv3dF/2/8biw8uJj44nhl9Z3htyaLL7eKDtA/IKssiLiiOh/s87PcbXDZGm/M38/Wer1FLamb0m0F8cLzSkaoVvv0OtsxMQi4eSsSUKXU+3srMQh6bu5MCk+202yKDdbwzLIAhxT9AZTEgQecJ0OVqUGvYXrid7zO+x+KwoFVpuaLdFQxtPlS84GhIXA7Y9Ckc+NPzeYfR0PPG08ZrybLMvO25PP3LHipsztMO07tVBG9fk0qLyDMXB050hwCEjb+c0Esv9d7z8AG33Y59377qzUDth49wymwbSULXsiX6FM94Fl3btqiOL/92uB1klmayrWAbu4p3UeWsqn5YqC6U1NjUcxfU3W7P/iH5OyG0OcR1gtDEU/YQcZnNlHzxBba9GQCEXHIJ4ROvEnMgBUEQ/IDsdpP//PM48/IJvXwcYZddpnQkr/r7GJeWoS15sNeDDWqMS03+/qZ/2BXjCR3rX800deZ2g6UEKos8o/wCmkadwh/Iskz+f/6DMy+fsIlXETpypM/PWWiy8tW6g3y74RAm6/Hrd8mBPu5XVBozTktbHKWDCQvUcsNFLZnSpyUbckr4ev3BGvdG+rtmYQFc368l1/ZtSVSI3ufPpbbsBw9S8OprIMvEPvQg+nbtlI4kNGCiiF6PmmIR/Z1lWbyzLLvG21LiDTxxWUcGtz/DDFhzPqx62fOnNggGPwjxXXyYtm4sDgvPrn8Wi8PC9R2vp3+Cd5Zi/br/V5YcXIJOreORPo/4VfG2KZFlmY92fER6STpJ4Unc3/N+vygM2/bvp/D1N0Cjptl//oMm8sJXbZitDl78Yy8/bD5S4+1jOkbzWkoWofv/AGQIjob+d0NsChaHhR+zfmRz/mYAWhhacGPnG8W/14ZKliH9F9jxvefzZqkw8B7QnT6z9Uiphftmp7H1UNlpt4XoNTw/oTMTUs88tsS8fDnlP/4EQPg1kzFc4j+jqmSnE/uhQ1gzMjybgR7IAafrlPto4uMISPFsBBrQoUOt5tqeKKif2JT0nAV1uwVyVkHWQqj4x5zKgHBPMT22M8R1BkM8sixj+u03TAsXAaBrm0TU9OloIsRqEEEQBCVVbtpE6RdfNtou9A15G/g2/Vu/bDqpC/PKlZTPngOgyMiNOpNlsJSCOc/z2vrvf1YUgPt4MVWj9zTGJF8KavHmu69V7dxJ8YcfefZGeOkln+5nk1Vg5tPVOcxPy8XhOr20p9IVoo9dSIBWxdVtp3Hf4FEE/22fI1mW2Xa4jK/WHWLhrjyc7jOXB3VqFeO6N+OmAa3p1jzcF0/nvJV++x2Vf/2FtkUL4mY8JkYzCRdMFNHrUVMsoucbrby1NJMftx6tcSM6gKEdYphxaQop8TX8P7GZ4c/XoDgLVBroezskDfVt6DpYfng587LnEa4P55n+z1TvcH2hdhbt5JOdnwBwU+ebxDxphZVUlfDixhexu+xMSZnCoMRBSkei6L3/Yk1PJ3jgQCKn3nDBx1m3v5iHf9xJbnnVabcZAjS8OjKaseafkEpzPF9sM8Qz6kMXTFZZFt/s+YZyWzkSEqNaj2Jsm7F+NzteuAB/H68V1hyGPgohsafdzely88HK/by3IhtXDRfVl3dP4IUJXQgLrPlnovG33zD9sQCAyJtuIviift59HrUkyzKO3FxsGRlYMzOxZWUj205dkaGOiCAgJRl9cgr65A51Lkw73U5Ph3rhttML6iot3R0yPUqP0c4FKknyvJHRsr/nxW9xpufv5u8CIz3F9LhOVBWpKJ3zK25LFSqDgajp0wlI9t3m14IgCMKZyW43+c/9B2dBQaPsaC63lvPixhepclYxvu14RrVuXJv4lc+bj3nxYlCpiP73vwns0lnpSKeSZbCWn14kN+d7Plyn729UTaUBXYjn8QCGeOg5DRJ71UfyJqvwjTew7duPYdQowq+60uvHl2WZ9ftL+GRNDqsyi8563+7Nw+jVOYcC10aCdcE80e8JwvRhNd63wGTlu42HmbXx8CkTB2rSo2U4Nw1ozdguzdBplCtcu8xm8p95BreliohrpxAy1H9rSoJ/E0X0etQUi+gnpOcaeXlRBmuyi2u8XSXBpF4teGBUB+JC/zGqxGmHDR/A4Q2ez7tOgi4TT1m+7i8cLgfPrX+Ocls5V7a/kuEth1/wsYosRby2+TWqnFUMbTGUSR28t1mkcOFWHl7J3Oy5BGgCeOqip854cVEf7AcPUvDKq6BS0ey5Z9HEnGFVx1lU2V28uiiDr9YdrPH2Ie2jead3MZEZP3guvnXB0Oc2aNUfh8vB7zm/s+LwCmRkogOjmdZ5GklhSXV8ZoJfKdkPq1+HqjLQh8KQhyAmuca7bjtcxn0/pHG41HLabYnhgbw1uTv9kqJOu02WZcrn/EjFypWeF6d33E5g9+5efyo1nddZVIQt0zPT3JaVjdtsPuU+quBgT5d5SjL65GQ0sbE+W4XidDvJLMlg2/4F7Dyyhqqqk78zDVoDqc0H0iPlatpFd/R0qLscUJwNhelQsNvz3+5TR+s4XAZKNphxmGUIDCNs4iQMI0f6xUoaQRCEpqRyw0ZKv/oKVXAwzV543qddp/VNlmU+3vExe0r20Cq0FQ/0eqDBj3H5J1mWKf3qaywbNyLp9cQ+cD+6Vq3qP4jNDKa8mrvKnadv+l5NUkFwDBiaQWgzz5+GeM+fQdGe19YHVkParJPF9Gap0OtGCG14G8P6u7+vJk544QWvbnjpcLlZsCuPT1bnsOfY2UewjOgYx+1DkujTOgKX7OKNLW9w1HyUzlGd+Vf3f531etHu9Jznq3UHSTtSftbzxBj0XNe3Jdf3a0nsP+s99cS8ahXlP8xGFRRE/H+eQx0SokiOhkyWZez791O5cSOGYcPQNqvdRrSNiSii16OmXEQv+/FHcLnY2WUQLy3NIbPAXOP9ArVqbh+SxO1Dkk5ZPoQse8YKpP/i+bzNUE9Xuh8uM1t/bD3f7f2OIG0Qz/Z/liDt+S/TtLvsvLnlTXIrckkKS+KenveIrl4/4ZbdvLnlTQ6ZDtE9pju3dbtNsSzFH31E1Y6dBF3Uj6ibbjrvx289VMpDP+7kQHHlabcF69Q8N7oFEx2/Ix3b5vliXBe46N8QHMUR8xG+2fMNeZWejSUHJg7kqvZXoVf7z/w7wYsqSzz7VJQd9HQrXXQntK55JUaFzcmzv+7hp61HT7tNkuDOoW25b0SH07pRZFmm7JtvqFy/AUmrIfquuwhIrrlYXxcuo9HTZZ6RiTUzA1dJ6akZdTr07dujT0kmICUFbfPm9VNwdtrh0F+QuRDKD+OUZTKxst0QyU69DotGC3hyhOpCubHzjSRHJp9+jOJMKNjj+SjZD7ILt9NN2ZYSLAcqQKMnsHMHIm+4DlXLHn6/cbcgCEJjILtc5D/7HM6iIsImXEHomIa72WZNTrz+aWxjXP5Jdjop+uADbHszUBkMxD3y8AU1sZyTvfJkB7n5HwVz++nX7SdJEBz1twJ5wslCeXBM7V47O6pg98+QucDzxrxKAx3GeJrYdI1r/JCSij/+mKq0HQQPGEDktKleOabZ6mD25iN88dcBjhnP/IaKTqNiYs/m3DqoDe1iTy0kH6s4xqubXsUlu85r5fWOI+V8ve4gv+/Mw+5yn/F+GpXEpV2bceOA1vRsGV6vTR2yy0XBSy/jyM0lePAgIq+/vt7O3dA58vKo3LgRy+bN1a+dDGNGEz5hgrLBFCCK6PWoqRbRHYWF5D/zLMgy6qhIwq67nt8tIby5JItCc83Lf2IMeh4c2YFJvVucuvlo9jLY/Bkgewp6gx+ocUavklxuFy9vepn8ynxGtx7N5W0vP6/Hy7LMt3u/ZWPeRkJ0ITzW5zHCA8J9E1a4ILkVuby66VXcspvpXaeTGpta7xnsR49S8MKLIEnEP/M02vjav1ixOV28vTSbT1bvp6Zxdv3aRPLeEJm49C/BZvJcPHe/FlIuw43MskPL+CPnD1yyixBdCDd0vIEu0f67X4HgJQ6rZ7TL0S2ez7tM9KwMOsPF7x8783h83i6MVY7TbuuaGMY7U1JpG3PqhbvsclHy6adUpe1A0uuJue9e9G3a1Cm222LBlp1dvRmo41jeqXdQq9G3aY0++fhmoG3a1O8mnJZSyF4C+5Z5ussA1DpIuhiSx0JogqdDvSyT7QWeGeoWp4VATSCP9HmEmKCzvHh3WKEoAwrTkfN3U7lpB2Vbi8EtownVEj0oFm3zVsfHv3TxzFYPUG51jSAIQmN1YiNtVUiIpws9QJlOTF8os5bx4sYXsTqtjXKMyz+5q6oofOttHEeOoImNJfbhh1AbDOd/IIe15m5yc77n+vtsgqJOFsf//mdIHNRxnGg1Ux5s+8azoTl4rg+6X+u5PhGr2erEkZ9P/nP/AVn2vI6rYzdvnrGKr9YeZNbGw5htzjPeLzxIy7SLWjG1f2tiDGdufDoxolan1jGj74yzX2v+Q3GFjR82HebbDYfJN51lZQTQJTGUG/u35vLuCQRo62flijUri6K33gZJIm7GY+hatqyX8zZEzrIyLFu2YNm0GceRk3umSXo9QT17EDxwYJPcpFUU0etRUy2iA1j37qX022+r37UKHjQI3bjL+XxLAf9bvR+L3VXj45LjDDx2aQoXd4g5+S5l7jZY+w44bZ4ZvRfP8Gxw6Ed2FO3g052folPreKb/M+c18mNt7lq+z/geCYm7etx1eqeh4Bd+2/8biw8uJkwfxhP9nrigFQd1UfzJp1Rt20ZQ715ETZ9e68ftOmrkwR/TyCqoOO02vUbF46OTmKpfg2rfUs8Xw5rDgLshojXFVcV8k/4NOeWeuejdYrpxbcq1GHQX8MJBaJhk2bPMd++vns9b9vesTtDoarx7nrGKB2bvYH1OyWm3BWrVPH15J6b0aXFKF4pst1P0wYfYMjNRBQcT++ADaBNqv4xYttux5eRUbwZqP3SIf27KoW3R4uRc8/btUOkVWEFRst/T5XVoPcjHfwcGR3u6vZIuAX3NS0wdLgfvbnuXg6aDJIQk8GDvB2u/AsRuwbZtOSVffIuruABJthLZN4qgVn87V1hzT1E91jNXHb34/hYEQagL2en0zEIvKiLsyisJHd14isyyLPPRjo9IL0lvtGNcauIqL6fg9ddxlZSia92amPvvq/lawmmHivyaC+VVp2/IfoqA8JoL5YZ4zwag9eXYdtj6tSc3QGRb6H0zRLevvwyNTOnMb6lcu5bA7t2IvvPOCz5O+jETn63J4dcdx8660WerqCCmD2rD1b1aEKg79/enLMu8t/09ssuySQpL4r5e93nGCJ4Hh8vNkj0FfL3uIJsOlp71vpHBOqb0acENF7UiIdz3Y65KPv8Cy+bN6JKSiH34ITHi8G/cFguW7duxbNqMLSvr5GsotZqAzp0I7tuXgG7dUOlqfu3XFIgiej1qykV0ALfNhnHefCpWrQI8m7NFXH895pZteXtZFrM3H6mxKxZgULtoZlyaQueE48Xo0gPw56uei4+AcLj4UYj0nznMsizz5pY3OWg6yJDmQ5icPLlWjztkOsRbW97CJbuaRCdHQ+ZwOXhp00sUWYoYmDiQa1Ourb9z5+WR/5/nQZaJe/JJdM0Tz/0Yl5v3V+zjg5X7arzI6tEynHdGhtIq4/OTF8nJl0L3a5HVWjbkbeDHrB+xu+zo1XomJU+iX3w/cdHRVO1fAZs+8xR/o9p55qQH1rzBptst8+maHN5YkonDdfq/vZGd4nh1Yjcig09ejLmtVoreeRf7wYOow8KIfejBMy6Xll0u7IcOY8vMwJqRiT1nP7Lj1C4cTWxs9XgWfYcOys1AdLvgyCZP8bw46+TXY1I832/Ne0Mtig9Gm5FXN72KyW6iZ1xPbu5883l9L7rMZkq++ALbnt1gryCkcxzhKWok8z9H8EgQ3vJ4p3pniO3od6u/BEEQ/F3F2rWUzfwWlcHg6UJX4o1bH1l3bB2z9s5Co9LwWN/HGu0Yl5o48vMpfP0N3BUVBHRoTfTVw5EsBacWyy2lwFnKKLqQ0+eTG+IhJN6/Rqe4nJC1EHb9dHLuepshns50MRbuvLjKyzn25JPgdBH78EPo27Y9r8fLssxf+4r5ZHXOGfebO6FHy3DuGJLEyE7xp67ur4WSqhJe3vQyVqeVPvF9uLrD1QRrL+waMP2Yia/XHWR+Wi4255lHvahVEqM6xXHjgNb0axPpuz2IysrIf/Y5ZJuNyJtuJPiii3xynoZCdjiw7tlD5abNWHftPOV1lK5tEsF9+xLYq5eYIX+cKKLXo6ZeRD/BmpVF2cxvcRZ5dogO7n8R4VdfTbbZzcsL955x52hJgok9m/PgqA40Cwv0zOhd9TIYj3jejR94r1/tIJ5dls27295FJal46qKnzrkMqtJRyaubXqXUWkrX6K7c3u12UaD0c1llWby37T0A7ut5H+2enucpAADAMElEQVQi6mc5U8kXX2LZtInA1FSi/3XHOe+fmW/mwR/T2J17+tJQnVrFfSPackf0btS7f/IURQMjPN3FzbphtpuZtXcWu4p3AdA2vC1TO00lOtC/Vn8ICijYA2veAnuFZ0OqoY9AxJk32Nqda+TeH7azv+j0WZ4xBj1vTurOkA4nf066KiopeustHMeOoYmJJvbBB1GHh3s2Az12zDPXPDMTa1YWctWpy0XVYWHoUzzjWfQpKWgiai7w1xub2fPGQ9ZisBzvyldpoNUAz8iWC3gTeH/5ft7d9i5u2c2V7a5keKvz28hadrsx/fYbpoWLAM9FctTUKWjsxzyblBbsAVPuPx4lQWQbiO10sqiubTwb4wmCIHib7HSS9+yzuIpLCJt4FaEjRyodyWv+PsZlQrsJjGg1QulIvuN2QWXRad3ktn37KPojHdnlJritgYg+Uae/ftMG1dBNfvzPM6w681tVZbDjB8hZ5flco4fOV0HKZd4bI9PIlc+bj3nxYnRtk4h7+OFaP87udPP7zmN8sjqHjPya95cDT81kVCfPZqG9WtXtDY7N+Zv5es/XAIToQriq3VX0ie9zwTWKcoud2ZuP8M36Q+SWV531vinxBm4c0JoJqYm16p4/X6ZFizHOn48q1ECz555rVBs914Ysy9j37aNy0yaqtm7DbbFU36ZpFk9w374E9emDJlq85v8nUUSvR6KIfpLbbsf066+Yl6/wzEoPCyXiuusI7N6dNdlFvLQgg715Nc+CC9CquG1wEncMbUuIZIO/3ob8XYAEvW+BDv7Tvf1h2oekl6TTO643N3W56Yz3+/tSyOjAaB7p80i9jwcRLsx3e79j/bH1xAbFMqPvDLQ+voB0FBSS/+yzni70GY+ha3XmoqXLLfPJ6hzeXppV4wYvnRNCeefyRNrv+9ozNxmgRV/Ppr16A7uKdvFdxndU2CtQS2rGtR3H8JbDz3s5n9CImfI8q4LMebV6M7PK7uKlBXuZueFQjbffMrANj4xJrp6L6Covp/DNN3EWFaNpFo+ueXOsmZm4Tae+eFAFBaLv0AF9sqfbXBMf7x9vQhqPejYKPfAnuI7PhteHQvtR0H7EGbv3a2v10dXMyZxTp/FfVTt3UvrVV7gtVagMBqKmTycgucPxG8uhMP3kRqUnVqmcIKk8bwCc6FSPTgZt45nzKwiCUFcVf62l7NtvPYWaF15oNEvgZVnmwx0fsrdkL61DW/NA7wca/vWhLENlcc1zyisKT45e+4eqo5UUry0BtZ7QQZ0JGz74H4Xy0MY3Q7xkP2z5Akr2eT4PiYNeN0JCz8b3XL3IbbWS9/jjuC1VRN/5LwK7dz/nY0xWB99vPMyXaw+edca4XqNiUu/m3DooiTbR3ls1uK9sHz9k/kB+ZT4AHSI6MDl5cp1WnbjcMsv3FvD1+oOs3Xf6yMe/Cw3QcE2fFkzr35oWkd6rj8gOB/nPv4CzsBDDiOGEX321147tzxy5uVRu2uzZILT05JgddVgYQX16E9SvH9rmzf3jdZSfEkX0eiSK6Kez5eRQ+s03OPMLAAjq05vwa66BoGDmbc/ljcWZZ/xlER2i474RHZjSqxmarZ+ffEc8ZRz0uMEvfoEfMR/h1U2vAvw/e+cdHlWVv/HP9JLeeyeh9w4CoiIiNgQRe3fdVVfX/tu17rrF1V1317ZrBStNBaWIWAGR3klCgCSQ3jOZXs/vjxtSTCFAGuF+nmeembn3zp1zJ5k7577ne96Xx8c9TkJAQqvbrc1by+rc1WiUGh4e8zDxAfHd2UyZM8DmtvGnLX/C7DJzScolXJZ6WZe+X/X772Pd/DP6IUOIuO/eNrfLrbDwyLK97Dpe22KdSqng3vPTuD+1DM3ud8FtlwTQ0bdB6vk4fS4+zfmUzcWbAYjxi+GWwbfI/5cyreM0S4OZZQcBBYy6SbImaecc/G1WGY8t30eV1dVi3YDoAP61YAQDoqXfSU9lJeUvvoTXZGrYRqHRoO2Xhr4+DFSTmIhC2Usu3oWAkj2SeF6yt3F5SLJUdZ44qU0P+Za7EtjdXkx2N3V2D3UONyabG49PMDQ+iNggfUMQtVFj5PGxjxNmCDvlJrvLy6n635u4i4pAqSToqisJmDGjZQfaVt0oqJcflESFpijV9aL6kHpRPaPDxyojIyPT1xAeDyVPP4O3uprga+YRcOGpzRjqzZx1Ni5uhxTW6TCBsw5hN3GkoIjs/CK09goiFDWE+mrQKb1oVEq0KiUatXTfYIOh0kg2KycE8sCYhueW7fup+WQxACE33Yj/5Mk9eLDdhBCQt0HKynHUSstiRkhiemDHs2zOJczffEPt8k9RR0UR/ewz7QqVRbV23tuUx+LtBVjaCQsN89Ny88RkbpyQSJh/11hFeXwevjv+HWvz1uL2uVEpVFyUdBGXJF9yxgVkh8vMLPo5n892FbWZkwfSZcWFAyK5ZVIy5/UL7xSR137gIJWvvgoqFdFP/uGMA157K56aGmzbt0sBoYWN1o0KvR7jyBEYx49Hl5HRe66lejmyiN6NyCJ66wiXC9PqNZi//hqEQBkQQMiCazGOHo3d5eWdTbm88cNRrG2cVPtF+vN/l/TnAu9PKPYvlRYmToAJ9/aKi/f3DrzHzrKdDAobxG9G/KbF+syqTN7Y8wYCwY2DbmRCzLntyXU2sqtsF+8eeBeVQsXj4x4n1r9rOo6eqipKnn4GvF4iH3sMXWpKi218PsH7P+fzt6+ycbhbVp+nR/rz8px+DCleDsckkZzwdJh4HwREk1uby/uZ71Npr0SBggsSL+Cy1Mu6vMJe5izH64Ed70iWJQD9LpIGZVTqNl9SYXby6PK9rVp4adVKnrhkALdOSkapVOAuKaFu9WrJ27z/AHSpKSg0vex/0u2QLiYPrWlSsa3AEzsac9IMavzSqHOeEMTd0r1DEscbH9ffHJ6G7doLiprcL4w5I6PJcS+m2FpIfEA8D49++LS+rz6Xi5qPP8a2ZSsAhpEjCb35pvant1or661f6qvVbb/w5lSqJSH9RKV6WHq7/xMyMjIyfQnLxo3UfPQxqqBAYv70JxR9pAq92lHNn7f8GafXeVp2Yp2C19NMFMdR1/jc0XR5rfTcKw3a+4Sg3OzkeJWNOoe75W5RUSGCKBMhlBFCuQihVh2O2xiF2j+cMH8doX5awvy0hNbfwvy1hPrpCNywHsWP36JWKwn/9a8xDB3azR9KD+G2w8HPIXs1+DygUElFA0OulnNUmiA8HkqeehpvTU27Ay0Hiky8tTGXVftK8LbTB0wN9+POKalcPSquYQZnV1Nlr2JpzlIOVh4EINwQzvz+8xkUNuiM913ncLN8RyHv/5xPfpWt3W3TIvy4ZVIyV4+Kx193Zv3KyjfewL53H7qBA4j47W/7TAV2mwGhahWGwYMxjhuHYejQPvO71J3IIno3Iovo7ePKz6f6/Q9wFxcD0gV8yHULUAUGUmF28u9vc/hkW0GbPyYTUkP5y4haUnM/lH7AwzNg6qOg79nPusJWwZ+2/Amf8PHAqAdID2lMMq+yV/HC9hewuW3dHk4p03kIIXhz35vsr9zfpVNaqz/+GOuGjegGDiDygQdarC+otvHY8n38nNtyWpxCAXdPTeWhYR5029+QfJkVShgyFwbPwYNgbd5avs7/GoEgRB/CTYNuIiMko9OPQ6aPIgRkr4LdHwECoofCeb9r9wJKCMH7Px/jz2uycLUSNDQ1I4KX5g0jMrDnLEJ8PoHZ6akXt93NqsLr7G7cpjKiyzeQVLsFpduGx+vDIrT85BvGWtdwCt0BXd7GAKODuLSviQiCGSmTuWnQTad1ESCEwLpxIzVLl4LHizoqivBf3Y0mtgMDg0JIlenlBxur1e01zbdRaaQQ1chBUrV6aKosqsvIyPRJhNstVaHX1BA8fz4BF0zv6SZ1CkIIXt3zKoeqD5ESlMLvRv+uc/q8QkgZKy1E8Dpwmloud7XMV2kPj09QaHJzoBpKnTrMwogZI2YMVIlASTQXoVQRgOA0j0cIrjq6kVFVR1BotXx73lxEXGKj4O5/QnxvIsT7awnQqfuGcFdXArveh+Jd0nNdIIy4DlKn94oZ4j2NdcsWqhcukgbVnn++WTGIEIIfcip4a0Mum4+2b28yLjmUu6amcuGASJSnGBbaGQgh2Fuxl2U5yzA5pVmio6JGMTd9LkG6oDPev88n+PFwBYs257eZlXcCf52aeaPjuXliEqkRp5cv4KmooPSPf0S4PYTdfTfGUSNPaz+9AeF2Yz9wANu27TgO7G8WEKrrl4Zx/HgMI0eh8pcHt84EWUTvRmQR/eQIj4e6tWup+2odeL0o/fwIvuYajOPHoVAoOFJu5m9rs/kmq7zNffxmoIP7NCsx4pT82c7/P2m6XQ+yJHsJG4s2khyYzMNjHkahUOD2uXl558scrztOQkACD41+SK72PYupcdTw/JbncXqdXJNxDdMSpnXq/j01NZQ89RR4vEQ89Dv0GY3ithCCJdsL+NOqzFZnbCSHGfnH3EGMNq2HrFWAkL4bk+6H8HRKraUsPLiQQrM0vWtc9DjmZcyTffllTo/CHbD5P+BxStN5pz0uTX1uh5wyM7/9ZHerQUmhflr+dvVQLh58elPFhRA4Pb62K8B/IY43rK+3TjE7PbTsAQn6KYqYodzFKGUOCqQNykUw3/pGsck3FCfdW9mh1JWgjfgaf52KixOu4neTryIi4PSm9Tpz86h66y28NTUotFpCb7oR49ixp7YTIaSK/LLMxqBS5y+yTtQ6iBgIUfWiekgyKLunmkpGRkamK7H8+CM1nyxGFRREzJ/+2Geq/X4q+olPsj9Bo9TwxLgniPKLan1DIaR+QIMYbmq8Oc2/WF5fRS5aDqa3j0IqltIHSYJts8dBoA+i3K1l8T4T7++updKhkF7ThSh9Xq4/9A39aguxafS8NeRyak5S0KVVKQnx0xDqpyPcv0mFe1PB3b9xWaBe0yPiaYcp3g07FzXOygtNgzG3STNfz1GEEJT96U+4i0sIuuoqAi+ZCYDT42XlnmLe3phLTpmlzdcrFTBrSAx3TklhZOKZ5el0Fg6PgzV5a/i+4HuEEOjVei5PvZwp8VM6rZgsr9LK+z/ns3xHIeZ2LG1AKry5dVIS52ec+uCC6csvqVu9BlVoKNHPPnNWZVcIIXAePoxt23bsu3biszUGtqpjovEbP14KCA07dbtHmdaRRfRuRBbRO46roECqSi8oAEA/dAgh11+POkT60dh8tJK/rMniQFHr4aOJ6mpejVnHwEAnGkMgTHsMIk49cK2zMDlNPPfzc7i8Lu4edjfDIoaxOHsxm4o2nZGPrUzv4kTIn1al5akJTxGi77xOTs2SpVi+/x5dej8iH364YXmpycETn+1rc6T+lolJPDE5AMP216EmX1qYdgGMugWh1vFDwQ+sPLoSj8+DUWPkugHXMTLy7B2Bl+klVOfBhhelGQ9af5jysCSUtoPT4+XFrw7x9qa8VtdfNy6RO6ekYHV6WgreDeJ4c2G8rn671oJ1TwcVXsYps7lIuYskRWnD8kyRxDfe0ewTqXTlBXqATk2gQUOd3d3qxYTa/yCa4O0IlHgrZ3J+6jCuGR3P9AGRaFSndkHjNZupevddnFlS6LD/9OkEz70ahfo0K8eFgLqi+ir1egsY1y8uGDWGelG93v4lJFmuXpORkTnrEC6XVIVeW0vwgmsJOP/8nm5Sp1BtLefPW/6E021lTvQkLgzKaC6CN1SK14vl3pZ2KSdFY6wXwFsK4o2PA6XHuoA2fyMOFpt4e2MeX+4tbtcWLSHUwNT0CEx2N9VWF9VWF1VWFzVWV7uva/cQvG5uy1xDrKWSan0g7wy+DKu2HWu0U0SlVBBilAT1puJ6qJ+uSbV7432wUdvo695deD2Qsxb2LwdPfb5Z8hQYcT0YQ7u3Lb0A+/4DVL72Ggq9nti//BkzGj7adoyFP+VTbna2+TqDRsX8+rDQxLDeWdxUYC5gcfZijtUdAyAhIIHrBlxHYmBip72H1enhs91FLNqcz5HytgcbAJLCjNw0IYlrxiQQZOhYgaLP5aL02efwVlcTOPtSgi6/vDOa3aW4Covqfc634a1pnPmpCgrCOG4sxnHj5IDQLkIW0bsRWUQ/NYTHg3n9ekyrV4PHi9JoIHjePIwTJ6JQKPD5BCv3FvHiV4coNrUMHw3EwmOGL5gWVkdcWCDKSfdB0sQeOBKJL49+ybr8dUT7RXNh4oV8lPURChTcM+IeBocN7rF2yXQeQghe3vkyuaZcBocP5p5h93TKD5e3ro6SPzyJcLuJeOC36AcORAjByj3FPL3yAHWOlmJaXLCBF+cOZZJvB+z5SLqQ0frD+HsgYSw1jho+yPyAnJocAAaFDeKGgTd0yjQ8GRlACqHc8BJUH5W8scfdBannn/RlGw9X8PDSve1eVHQ3Adg4X7mH81V7CEKaQu5Gzc++QXzrHUURER3aj06tJNCgIcigIVCvbvK4/t6gbvK4cV2gQU2AXtNwEexwe/k6s4xlOwrYdKSySaW8QBO6AbUxD+HT4yi7HLx+hPtrmTMyjmvGJJAR1XF7GeHzUffll9St/QoAbVoqYXfe2TCgfUYIAbXHmwSVZoL7Fx6YWj+IHChVqUcOguBEWVSXkZHp9Zi/+57apUtRhYQQ88fnel+GxwmEkKrCW/USNzWzVBH2Wl51HuOQcJCq0PGgMhJlR87HKk29AB7Uijj+C6FcF3hGFl9CCH7MqeCtjbn8dKR9S4wRCcHcNSWVmYOjULcyyCyEoM7uocrqbBDWq60uqizOhsfS88bHTQfs/Vx27jz4JSEOM0X+ESwcNAt3D804Viog2NhY4d5Y7a5rLrj7a4kNNhCo78R22mth72LI/V56rtbB4KthwGzpf+Mcofwf/8R5+DDuSVP5IGQYS7YXtBuiGe6v49ZJSdwwPokQv95fFe0TPn4q+okvjn6B3WNHgYKpCVOZnTK7U2c2CyHYfLSKhZvz+TarjPbGuYxaFXNGxnHLpOQO9X1tu3ZR9eZbKDRqop9+GnVEx/r23YmnpgbbNkk4dxcVNSxXGPQYR47COH4cuvR0OSC0i5FF9G5EFtFPD3dxMdXvf4ArPx8A/aCBhNx4I+pQaRTb4fby3k/5vP79kRaVeTpc3KVazWR9PmmR/kRMuR3FwMt75CLc5rbx7M/PYmsiEsxKmcXs1Nnd3haZrqPUWspft/4Vr/By+5DbGRU16oz3WfvpZ5jXr0ebkkLkY49SZXXxh8/3s+5gWavbXzsmgScvjCZgz9tQsldaGDNcEtCNoewo3cGSQ0uwe+xoVVrm9JvDeXHnySPVMp2Pxwk/vwYFUlglg66E4ded9BxcY3XxxGf72vwf7y7iFeXMUO5kvDIbNR4UgE0VyE7dWDKN49H4BTYRupuL44GtiONdEfxUVGvn052FLN9ZyPFqGyjc6CLXoNTU4HNF4Cy/BGh83+EJwcwfE8/lw2M7fKFs37eP6oUL8dnsKAMCCLvzDvT9O3l2l88Htfn1onqmJKp7fjFArgto9FOPGgSBcbKoLiMj06sQLpcUHmgyEXLdAvynda693xkhhORXfWitNIjpqAM6dom/yWdhsa8aDUqeMKYTZYxoWR3eIJYHNi5X67r8PO30eFm5u5i3N7VviaFQwIyBUdw9NZXRSSGd2u8VQmBxehoFd4uLusISQj74L8JioTgqmW/GzKbK7q3fxonD3Tmz5DqbcH8tqeH+pEb4kRrhR0r948RQ4ynPamug6ijseBeqjkjP/aNg1C0QN6rP/447c/M48sc/k1/j5A9pl1PbTlZQv0h/7pqSwpUjui8stDOpc9Xx+eHP2V66HYAgXRBz0+cyMnJkp19nFlTb+HDLMRZvL8Bkb3/Wy6S0MG6ZlMxFA6PanJUhhKDi3//GmX0Iw/BhhP/6153a3tPFZ7Nh27Ub29atOI8caR4QOmSIFBA6ZEifsQw7G5BF9G5EFtFPH+H1Yv72W+q+/BLh9qDQ6QieezV+U6Y0nJCrLE7+8+1hPtp6vNn0OwU+Fqi+50LlLkKMWiJHX07CRb/pEd/Vb499y+dHPgdgYNhAfj38110SQCnTs6zOXc3avLX4a/15asJT+GlOP7zDa7FIVehOJ+H3/oYfFeH8/vMDVFtdLbaNDNDxt7lDucDvOGz9r2SVoNLAiBshYyZWj42lh5ays2wnAEmBSdw86Oa2/SxlZDoDIWDfUjj4mfQ8YRxMuBc07YeFCiFYuqOAZ7/IxO5uu1rnVPHTqn5R5f2LCnC9imRHFilVGwixHEatVKJWKVCF90Mz+DIUCRN6ZRimzyfYmlfNsp0FrMk8BKFfolA68Vj7465pOQtLp1Yya0g014xJYGJq2En9I93l5VT9702p8kWhIOiqqwi4eEbXDb75vJItUNkBSVCvyJYGZZqiD5ZsXzIugQg5BFlGRqbnMX/3HbVLl6EKDSXmuWd7RxW61wPHNkHWl2AqbLle69eGGC49r0Lw50Pv40JwdcZ8Lki6oPuPoRVqrC4+2nqMhZuPUWlpe/aaXqPkmtEJ3H5eCinh3Ruo58zNo+LllxFuN36TJhJyU2Pwt83laVbJXlVf6d6s8t3qotrqpNriajX3qDtRKRUkhhpJDferF9j9SQ33IyXCjwh/3cn7A0JA/kbY83Fj8HjMCBh1MwTFdXn7uxufT/D9oXIyX3qFgCOZ7IlIZ0W/qa1uOyE1lLunpp6Wn3eXI8QpD3Qcqj7E4kOLqbBJdqMDwwYyP2M+EcbOr+62u7ys3FPEws35rWYrNSUu2MCNE5JYMDah1Qp/d0kJpc//Gbxewu+7D8OQnnELEC4X9gMHsW3bhv3AfvA0fvd16ekYx42VA0J7EFlE70ZkEf3McZeVUf3++7iO5gKg69+f0BtvaDbd5miFhRfWZvN1ZtMKRsEM5U7mq35AgcAVOYKh1z5NQmT3erK5vW5e3PEiPuHjwVEP4q89vRRpmd6N2+fmhW0vUGotZWLsRG4YeMNp78u0ciV1a79CxMTyz4zZrNhb0up2V46I5blL0wjO+gSOfictDE6SwkODE8iuzuaDzA8wOU0oFAouTbmUi5MuRiWH+Ml0F3kbYOv/wOeB0FSY+miHfDHzKq08vnwf2/KrAdCoFA12J61VgLdnjxKoV7c6bRsAlxVyf5Aq9Kz1GQMKJSROgP6XnlWBWGaHm7e3bmDJkXcx2V24aibhtbYtMscFG5g3Op55o+NJCG172q3P5aLm44+xbZFmFhhGjiT05ptQGjrP67VNvB7JGuiE/UvloeZ+u9HDYOg1spguIyPTY/hcLkqefBJfnZmQG67Hf8qUnm2QywZHv4XsNWCXfkNR66HfRZA0CQwhJ7VQEULwyu5XyKnJITUolQdHP9jjBUD5lVbe2ZTHsp0F7VZzh/truWViMjdMSCK0By0x7Pv3U/n6GyDEGfktO9zeZoJ7tdVJlaWx8r1BcK9fb27F7rGrCNCp66vW68X1CD9Sw/1JCffDoP3FtYbbDgc/h+zVUp9QoYL+l8CQudKAzlmOw+1lxe4i3tqYS83xYu7f+ykKIXht+NVUGBvt8FRKBZcOjeGuKSkMiw/uuQa3hq1amkVasBUqDkFYGqRfDAkTQN2x75Lb6+ab49+wLn8dHp8HjVLDzOSZXJh0IRpl5w8uCiHYllfN+z8f46uDpXjb8XrRqZVcOSKWWyYlMzi2uZVpzbJlWL79DnVUFNFPPXn6WUCniBACZ85hbFu3Yt+zu1lAqCY2FuO4cRjHjpEDQnsBsojejcgieucgfD4sP/yIacUKhMuFQqsl6Kqr8J9+frMR8G151fx5dSZ7C00Ny0YpcrhLvRoNHgqJpnrsg9xx0WiCjN1XJXLiqyRbZ/RtjtYe5eWdLwNw/8j76R966tYHPpuN4j/8gYoKEy+GTWCzoWWVRqiflj9fNYRZMRbY/ApYygAFDLwchs3HhWDl0ZX8WPAjAJHGSG4ZfAtJgUlndHwyMqdFeTZsfEnyYDWEwrRHJUH9JAghqHN40KqU6DXKzj1/mksl4Tz3+8ZKZ62/JDKkXwx+Z29n9av8r1iSuYJSk4vy4xdRVXPyzINJaWHMH5PAzMHRLS98kf4W1o0bqVm6FDxe1FFRhP/qbjSxsV1xCG3jdUPlYWlwJu9HEPVCSvTQejG958LEZWRkzk3M33xD7fJPUYWFEvPcc90mvrTAVi39rh1ZLwmWIAnm/WdJv22nIFRuLNzIkkNL0Cg1/N/4/yPSGNlFjT45O49V8+aGXL7OLKM9ZaI3WmJYNm6i5qOPALptgMXl8VFja/Rtb/B3b0Vwr7a6qLWdRhBsB4gN0jcI6w0ie7gfcSoTyj0fQJE0QxZdIIy4DlKnn5UWLzVWFx9uOcain/OptEgzhi/L/YkxZdnkhCTw8YCLAcmre8HYRG6bnNxu4UK3Y6mAgi1wfEuj7c4v0fpD2nTpPBIQ3aHdltvKWXJoCYeqDwHStei1/a89rWvjjlJisvPRluN8su04Va3M3m7K2OQQbpmUzMzB0WhUSnw2GyXPPouvzkzQnDkEzry4y9oJ9QGhW7di27GjeUBocDDGsWMxjh+PNr7vzdQ4m5FF9G5EFtE7F3d5OTUffoQzRwpG1KalEnrzzWiiGq0pfD7Bqv0lvLA2m6JaqROZqijmfvXnBGCjWgTyruZa5l84iRsnJKFVy9YqMp3HkuwlbCzaSLghnD+M/wOaUwzQKVvxBXvfW8Iel57Xh81p0aGcOTiKP185iPBja+DAp5KIZAyDCb+B6CEcqzvG+wffp8wmzcqYGj+Vq/pdhVYle6bJ9CDmMvjxBagrApUWJv0WEsZ2bxuEkGxCDq2Fol00eMIGxklV5ylTJB/XsxwhBO8ceIc95XsI1AYxMfg2Vu8x8U1WWTPbs9YI0Km5fEQs14yOZ0RCcIuBC2deHlVvvoW3pgaFVkvoTTdiHNvNf8cTmMukqra8DSDqp7zKYrqMjEw34nM6KXnyKXxmMyE33Yj/5Mnd34jaAsmy5dhPUoUvSL9rAy+H5PNOOcixyl7Fn7f+GZfXxdXpV3NBYvfbuHh9gnUHS3lrYy67j9e2u+2ktDDumpLKtIyI3meJAZi+XEXd6tWgUBB+z68wDB/e001qhsvj43i1jdwKC3mVVnIrrORWWsitsJ5UiDwdtGolKWF+nB9QxCz3OiKpxk+rRh+Vjm78HWfNzLJjVVbe3ZTH0h2FzewH/Vx2frd7CWqfl3cHz8YRl8Rtk1O4flxitxbwtUtdsVRtfnwr1OQ1XxeeAQnjJdu84t1w5BuwNQnsjRkB6TMgdhScJMhSCMHOsp18evhTzC7JcmVs9FiuTr+aAG3HA+9PFYfby+p9JSz6OZ99TQorWyMqUMcN45O4blwixgO7qF70Pgqdjuhnn0EdEtLua08VT3V1Y0BocXHDcqXRgGHESIzjx6PLSJeLLnspsojejcgieudzoiKu9tPPEE4nCo2GwCsuJ+DCC5ulEjvcXt7/OZ9XvjuC2eEhghoeVH9GlKIaBzpe81yJLXQgT1wygEuGRMsnLJlOwea28eetf8bkNDEjaQZX9ruyw6/dfLCInEeeAJuV5enncyA8rWFdoF7NH68cwpVpShQ/v9pYLZA0CcbcgVdjYP2x9azJW4NP+AjSBXHDwBsYFDaosw9RRub0cFlh08tQuh9QwIjrpYv8rj73elySH+ehtWAqaFweO0qq0IseelZWP7WHw+PgpR0vUWotJS04jftH3o/J5mXFnmKW7Sg4qX8kQHqkP9eMiWfOyHgiAhoHF7wWC1XvvIMzKxsA/+nTCZ57dc9VX1rKJTE998dGMT1qiCSmRw7omTbJyMicE9R9/TWmzz5HHRFO9DPPdN95UAgoz5LE8+JdjcsjBsCgK6Tft9P4XWtq45IWnMaDox7s1usjq9PDsh0FvPtTvhSa3QZqpYLLhsVw55RUhsSdfLZVTyKEoOaDD7Fu3oxCoyHidw+iSz35bLzegMnmbhDUT9znVUo3p+fMA1JVeLlQuYsrVD+jx4lWpSTXfxR58VcSExPb4MOeGOrXa4redh+v4a2NuXx1oJTW6hIuOL6TqUV7sEbFEfnoo1wxMg6duodnRggh9X8LtkkV5037wiggcqAknCeMa2m56PNKYvrhr6Fkb+NyYzj0uxDSLgBDcLtvb3PbWJW7io2FGxEIjGojV/S7gsmxk7v0/CKEYHdBLYs257Nmfwlub9vSplalZPbQaG4/8CXBlSUYx44l7I7bz7gNPqtVCgjdtg3n4cONK9QqDEOG1geEDpYDQs8CZBG9G5FF9K7DU1VFzUcf4cjMAkCbnEzoLTejiYlptl2N1cV/vjvMh1uOofXauE+9gnRFIT6ULPTOZLNvCKOTQvjD7IGMSuzcEUeZc5O9FXt5a99bKBQKHhv7GAkBCe1ub3d5eeGrbI4sW8lFx3dQaQjiteFXI+r9J6dlRPDC1UOJrtoCO9+T7Cc0BhhzB6RMocJWwaKDi8ivywdgZORIFgxYcEbhpjIyXYLPK/0PH14vPU+dDmPv7JrQTlu11Ok/vF4K3AWp0jxlmiSeB3azFUk3U2Yt48UdL+LwOJiWMI1rMq4BpIuKA0V1LN1RwMo9RdSdxD9VpVQwvX8k88fEM31AJBqVEuHzUffll9St/QoAbWoqYXfd2elVO6eEpaJeTP+hiZg+uF5MH9hz7ZKRkemT+JxOSv7wJD6LhdCbb8Jv0qRueFMfFG6HrC+aWC8opJldA6844xyPDYUbWHpoKRqlht+P/32XBAK2Rnmdg4Wb8/lo63FM9rbtRQJ0aq4bn8itk5KJDe6GXI5OQni9VL7xXxwHDqD08yPysUebzaI+2/D5BEW1dnIrreRVWMitr2DPq7Q2zAI/FQKxcrVqI5OVB1AgcKJhlXci632j8aBGpVSQEGIgNcK/3hpG8l5PjfAjMqAD4aZniM8n+CarjLc25rI9v6bN7TReN3/N+Zx+gSoyfnc/xlEju7Rd7SKEVGV+Qjg3N8nXUqik/lHieIgfK4UJdwRzqdSnzv2hsV+tVEv7SL9Y6mu187c4VneMT7I/odAsBR2nBKVwbf9riQ+IP82D7DjlZgefbC3go63HKDe3HUgcY6nkkaNrSQwxMODpJwgYcOozG6WA0AP1AaEHWgaEjh+PceQIlH7ydfrZhCyidyOyiN61CCGwbt6M6dNPpSAGtYqg2bMJmDGjRTVIfqWVv6/LZv3+Qm5TrWWcUqqi+8I7iS98kwAFs4fG8Ngl/UkKk09qMmfG2/vfZk/5HhIDE3lkzCNtBjLtPFbNI8v2UVhm4sHdS/Fz21nRbyp7ItLx06p48rJBLBgWjGL7W1JHCKRKo4n3IfzC+an4Jz47/BkurwuD2sD8/vMZEzVGnlkh03sRAnK+gp2LAAGRg2DKQ6DrpKmdlUfg0BrpouGEmOoXDhmXSBUzfSDAqqPsq9jHm/veBOCmQTcxPmZ8s/UOt5evM8tYtqOATUcq2/WbBSmwbc7IOK4Zk0BGVAD2ffuoXrgQn82OMiCAsDvvQN+/h61ULBWQuUK6yDthbRA1GIbMgyh5Zo6MjEznUPfVOkwrVqCOiCD62WdQqLqw2tTjknIgsr6sz8FBEq9Sz4cBl0FgTLsv7wiV9kr+svUvuLwu5mXM4/yE8894nycju7SOtzbk8cXeonarROOCDdw2OZlrxyYQoO8llhiniM/ppOKfL+M6dgxVWChRjz2GKqh3V9GfDnaXV7KFqbSQV2GtF9ilKnazs/1B+2RFCdepviNNIVldlItglnins1ekAa1f1/jr1A3CelPv9dQIP4zaMyvQcLi9fLqrkHc25pFbaW1zO5VSweXDYrhTWUjQd2ukcMpnnm42Q75bEEIaXDu+RbJrsVY0rlOqpTD2xPEQN/rM+tweFxz/WSpUaeqjHhgniekpU9rsa3t9XjYUbmBV7iqcXicKhYILEi7g0tRL0am63lLR5fHx1cFSFm3OZ+ex1gdETnjam4Ij8P76AW6YlEpUoL7d/UoBoTnYtm5rGRAaFycFhI4b27PFJjJnRJ8V0V977TVefPFFSktLGT58OK+88grjxo1rc/tly5bx1FNPkZ+fT3p6Oi+88AKXXnppw3ohBM888wxvvfUWtbW1TJ48mTfeeIP09I6P8ssievfgqamh5uOPcew/AIAmIYHQW25GG99yZHPnsWqeX5VJStGXXKraCsDPvsEs9M7EiwqNSsHNE5O5/4J+BBvlqTWdhqlICi4p3AkeuxR2ZAiVpo01exwqjYh3RWVqN2Jymnh+y/PYPXauTr+aafHTsTg81Dnc0s3u4ftD5by9MRefgAklB7gkfys1+gBeGT6Xcf0ieHHecBKch2HLG2CvkSoHhs2HgVdgcpv5OOtjDlYdBCAjJIMbB91IqD70JC2TkeklFO+GTf8Cj0MKKpr2+OlXh3s9ULhNEs8rm0yXjBwIGbMgfgwoe0fQWHezKncVX+V9hUap4aHRD5EQ2PrMmKJaO5/tLGTZzsJ2p9GfYHhCMNeMjufSWA2uRe/iLioChYKgq64i4OIZPT+Q15qYHjkIhs6TRHUZGRmZ08TncEhV6FYrobfegt+ECV3zRk4z5KyTbs46aZnWD9JnQsbMk9oodJSmNi79gvvxwKgHuuwcLoRg4+FK3tqYy8bDle1uOzQuiLumpnLpkGjUqt5h53EmeM1myv/+Ip6KCjQJCUQ+/BBKffviXF9BCEGlxSUJ6k2E9bxKK8eqbXgbvFEEE5WZzFNtIAip2vmgSOETz3RKObXQ9+hAvVS1Xl+5nhLhR1q4P3EhBlTt+OdXWZx8sOUY7/98jOp2fOH9dWquG5fArZNTiPXXUPLU03hragi54Qb8p5x3Sm09bXw+qMiWRPOCbWCvblyn0kDsSEiYIN1ruyDQtDpPqk7P3wje+s9KrYPkKVIQaWhKqy+rddTy6eFP2V2+G4BgXTDz+89nWMSwzm9jGxwoMrFwcz5f7C3G1cSeyOh2cP+e5Rg8TlanTGR37GDGp4YyIiGY4fHBjEgIJjJQjxACd2Ehtm3bsG3fgbe2tmEfqpAQSTgfO1YOCO0j9EkRfcmSJdx8883897//Zfz48fzrX/9i2bJlHDp0iMjIlonimzdvZurUqfz1r3/lsssu4+OPP+aFF15g165dDBkyBIAXXniBv/71ryxatIiUlBSeeuop9u/fT2ZmJvoO/uDJInr3IYTAtnUbtUuX4rPZQKUi8JJLCJx1SYuqdCEEa/aX8t3qT7jEtgoFPrJFIq95rsSO9LcN1Kv57YXp3DQxqee9zM5GTvivHd8qieemwlN4sUIS0g0hTUT2kEaR/cQyrX+3eRk7PV7MDg91drd0Xy+Em5uI4tLjxm3KPXup1fyA16PEUnwFwtv6qL/a5+GB3csIcNlYl3EeF986h1vGxaLc94nk4wwQEAOTfwuhqewp38PH2R9jc9tQK9VckXYF0xOm97xoJSNzqtQelwJHrZWSMHDeQxA9pOOvd5rhyLdSNcyJ4COlWsoK6D8LQs8O39GuRAjBf/f9l4OVBwnRh/D42Mfx1/q3ub3PJ9iWX83SHQWs3V/aLDCrNXRqJZcOCOOG0u1EHjmAAjCMGEHozTehNHbBBdupYq2UxPSj3zcR0wdKNi+ymC4jI3Ma1K1di2nlF6gjI6WK086uQrdUQPYqOPpdozDlFy5VnadOB03nCq8nbFy0Ki3/N+7/usTGxeXx8cXeYt7emHvSXI6LBkZy55RUxqeE9rm+rbu8nPIXX8JnNqMfNJDw3/ym5zJFeglu74lwUyt59d7rBeXV9KtYzyT3FlR48aHkG98ovvRObLhWP120KiVJYcZ6gb2xct2gUfPxtmMs21HYrud7dKCe289LZsG4RALrZ0ZYt2yleuFClIEBxD7/fNd6XHs9UJ7ZKJyfGGADScCOGy0J5zHDO/1c0SYuqxT0fng91BU1Lg9Pl6rTEyaAuuVncrDyIEtzllJll/rwQ8KHcE3GNYQZTm3A5EyotrpYvP04H/58jGKTA4CxpVnMztuMXa3jlRHzsDX5HIOcZqbaCphsOU6cy0SgQUOgXo3W3w/DqNEYx41Fly4HhPY1+qSIPn78eMaOHcurr74KgM/nIyEhgfvvv58nnniixfbXXnstVquVVatWNSybMGECI0aM4L///S9CCGJjY3n44Yd55JFHADCZTERFRbFw4UIWLFjQoXbJInr34zWZqPlkMfY9ewBpCk3ozTehTUpqsa3T42XNurX4bX8FpddJiQjjX565VNE4vS4h1MDjlwxg9tAY+WR4MoSAmvz6xO9f+K8p1VLYW+J48IuQKqtt1dK9vbrJ49pGC4aTodJIonpTgb2Z8C7dC5UGm8vbRPx2N3tc10IUPyGENz4+vQAdgTZiHSpdKV5HHK7Ki2htOuKJH2p1aAgTX/8HaXoTbP5P48BD+gwYeRN2fCzPWc7WEmkGRXxAPLcMuoUY/zOfxisj02PYa2HDi9KUUIUKxt4hhRW1h6lQGmDK+xG89f6pukCpo55+kfT9l2nA5rbx9+1/p9JeSUZIBveOuBdVByrzzQ43q/eVsGxnYZvTXhsQgouteVxfvpPYAC0BcTGE/+puNHG9pALHWgWZn7cU04fUV6bLv+8yMjIdwGe3S1XoNhuht92G3/i2Zz2fMtW5kmXL8S0g6vudIcmS33nihC6ZUdXVNi4mm5uPth1j4U/57XoRa9VK5o6K547zUugX2fZAb1/AlZ9P+cv/QjidGMePJ/TWW+RrzDaoqyjA+vO7ULQTm8tLlUfP576pfGZKx+npXqlqYEwgd09NYfbQ2GZBp0IIyp7/M+6iIoKuupLASy7p/Df3uqF0v3SNXbij0ZMcQGOUfMkTxkP00FbF6m5DCEngP/w1FGxvvKbX+kuWiv0ugoDmeQAur4t1+ev45tg3eIUXrUrLrJRZTE+YjlrZfQNMHq+Pb7LKWLg5n61HK/nV/i+ItlaxI2oA3yaMZlB1PsMqj5JUV9r4GqWKnJAE9oen4csYyJDEMEYkBDE8IZgB0YG9JhBX5szpcyK6y+XCaDSyfPlyrrrqqoblt9xyC7W1taxcubLFaxITE3nooYd48MEHG5Y988wzrFixgr1795Kbm0taWhq7d+9mxIgRDdtMmzaNESNG8O9//7tDbZNF9J5BCIF91y5qPlmMz2IBpZKAGTMImn1pqyPDdcVHyPv0KaoqSqkRRv7juZpjIrrZNiMSgvnD7IGMTZbtMpohBFQdrR8N3wKW8sZ1SjXEjGj0X+uIF7EQ4KitF9klgd1nq8ZZV4nLXInHUo2wVeFzWvB4fXh8osm9wONrXOb2Cjw+gcmro1r4U4s/tcKfGuFPLQH199KyOoy05bd3JijUJnRRX6BQeHFVT8FrS2u2Xunz8ru9nzIyUDD0nlsJirXB3k8kkUcXCBPugbjRHK45zAeZH1DtqEaBghnJM7g05dJu7VzIyHQZHhdsfQOObZaeD7gMRtwATf0khZAsYA6thdJ9jctDkqWq86TJ0sCaTKuUWEp4cceLuLwuLky8kDnpc07p9UfKLSzbWcBnu4qoaEcIibNUMD/nW5LVbqLDA8m453ZCJnWR1cHpYK2qr0z/rlFMjxjQWJl+FggZwufDffw4jsOHEQ4n/tOmopL7mDIy3YJp9WrqvlyFOjqK6Kc7wfdYCOk3LfMLKDvQuDx6qCSeRw/tsvOSEIJ/7/o3R2qPdLqNS0G1jXc25bF0RwE2V9vFMaF+Wm6akMRNE5MI9+96T+Tegv3AQSpffx18PgIumUlwEw1DphWK98DOhQ0FWiIkhfL+15HjjSW3wtrEJsZKscl+0oyXU2FqRgR3T0llcr+wVr8f9gMHqXz1VRQ6HbF/+XPnBUZ6XFCyV7q+LtoJ7iahrboAiB8HCeOkIrXeaINqr5H6Wke+bZwtikKqkE+/WLKYaXL+LLWWsjh7MUdqJZ/1GL8YrhtwHanB3T+rNLu0jhWfbyJ26Tt4BfgUSlQ+6TwmFAryA2PYF55GZmgSTnXr5y2tWsmgmEDJBiYhiOHxwSSH+aFsx0pIpvfS50T04uJi4uLi2Lx5MxMnTmxY/thjj/Hjjz+ydevWFq/RarUsWrSI6667rmHZ66+/znPPPUdZWRmbN29m8uTJFBcXExPTWOU5f/58FAoFS5YsabUtTqcTp7Px4rKuro6EhARZRO8hvGYztUuXYtu+AwB1TDShN92MLrUVfy5rFeZ1z5N/NIuCOi//9VzOPpHWYrNLBkfz+KwBpISfO+F0LRACKnPqg0u2ga2Jp2Eb/ms+n6DK6qLU5KDG5mqzKrylVYoHSytBNBo8BGMhWGEhBDPBihOPpftgLIQoLKhpP8TmBD6UmIQfNQRIQnu9uF6LPzWiUXB3cuqj++qAfWiCdiF8ehylV6HCQIBeTYBezWWuQq44upGgUD9iLg5CUSUF3hI3Gsb/CrfWyKqjq/ju+HcIBGGGMG4edDNpwS3/N2VkzmqEgAOfwv5l0vO4MTDpfulx3o+SeN4wu0UBCWMlv/PIgWeF8Nkb2FW2i3cPvAvAbUNuY3TU6FPeh8fr48ecCpbtKOSbrDI8vpZdRaPbwdzDP5BmKkKtUuIaN5kRv7qRkcnhvafazloFWSuli7sGMb1/vZg+pFf9TwmfD3dBAY6cHJw5OTiPHEHYHQ3rVUFBhN5xO/qMjB5spYxM38dns1Hy5JP4bHbC7rgd49ixp78zr0cK58v6EmqPScsUSkicCAMvb9NLuDP5seBHluUsQ6vS8vvxvyfcEH7G+9x9vIa3Nuby1YFSWvl5aCA13I87pqQwd1Q8es25aZtp3byZ6vc/ACB4wbUEnH9+zzaot+P1SMH0B5Y3CsrJU2DE9dIs5Hoc7vpw0yb2MEfrfdjNjo5dF2pUCq4YHsedU1IYGNO+hlP+8r9wHjpEwEUXEjxv3mkfHgBuh1QwUrBFuvc0KVowhDRWnEcOPHuyfnxe6VgOfy0NCpzAGC7NPE27oCHfQQjB1tKtfH74c6xuKcx1YuxErup3FX6a7tdeiv73NqUbNlPncHNcG8yPxgR2BCZTpzu9tgTq1Qyv91YfXi+uRwacG7kIZzuyiE7XiejPPvsszz33XIvlsojes9j37KH644/x1ZlBoSDgwgsIvOIKlL+sSnfZYNPLmPJ2crjcwqvmqfzgG9lif2qlghsnJPHbC9MJ9TtHwkcbgkvqhXN749R+odJhCR9GadBw8jTpFFkEpSYHJSYHpSYHxSY7ZXUO3N7uPqUI/HAQorAQVC+qh2AmSGElBLO0XGEhEBsKOtY2B1rMigBs6iCcmiDc2mC8+hB8+mAUhjBU/qFo/UMIMOgJNGgI0Kvx0ylYnv86Nc4yxseM485ht6JQKBBeL6XPPovn+GGCUu0EpuulQYhRt0K/CymyFrPo4CKKLVJK/cTYicxNn4teLf/YyvRh8n+CLa9LwqZ/lOR77q4PutQYpM52xiXg3zLvRObkrDyykvXH1qNVaXl4zMPE+Z++3UqVxcmKPcUs21HQwuNWIXxML9jN1KI9ABQERLJ90uXMnjyAOaPies9Fg60aMlfCkW8axfTwDElM78IK0PYQPh/uwkKcOTk4cnJwHTmCz2Zvto3SaEDbrx+eigo8JaVSqOuVVxAwc2bvGaiQkeljmFatpm7VKtQx0UQ/9dTpVaG7HXD0W8he01iEotZJv239Z4N/5/uRt0aFrYK/bvsrLq+L+f3nMzV+6mnvy+sTrM8s4+2Nuew4ifXX+JRQ7pqSygUDIuWKTKBuzRpMX3wJCgVhd9+FcWTL606ZX2Cvhb2LpeBwhPT9GXw1DJjd7oxEIaSCrl9WrudWWjheZcPjEwTo1Vw/PpHbJqUQHXTyfoorP5+yv70AKhUxz/8Jdchp2Am6rFKl+fGtULq30aYQJKE5YZxk5xSe0asG+E8Lc6nkm577Q6MljVItHWO/GQ2FMVa3lRVHVvBz8c8A+Gn8mJM+h/HR47u1j+NzOrHt2IEuORlNXBw+nyC30sKeAhN7C2rZW1hLVkndGWkcsUH6ekFdEteHxgfhr+uFMwvOcfqciN6b7FzkSvTei9dipXb5MmxbpEEVdUQEITfd2LJyy+uB7W8jcr+jwuzivarBvFE3kdasPgJ0au69oB+3Tkrum1UUPi+ekgNYjvyE99gWPDYTTo8Ph9uL2athP/34yZnGRms8Dt/Zc/z+OjWBenWDyB2sUxKldRChthKhshGqNBOMlUBhxt9Xh9FrRu+uRStcqFQKVCf98a4PRm0Sipqn9PHPkh8QSjX3Dr6dgTFjsG7fRfUrf0PprSXminiUkekw6T58AdF8f/x7vjj6BV7hxV/rz/UDru/WxHIZmR6l8jD8+PfGsKSAaKnqPHWaJKTLnDY+4eO1Pa9xqPoQ4YZwHhv7GEbNmQWACiE4UFTHsp0FrNhdRF2TSq+MmuNcfWQDeo8Tq8bAsvTzKQiJY3r/SK4ZE88FAyLRqHqBZ2SbYvo8iB7WpReuQogG0dyZk4Pz8OEWornCoEfXrx/6/v3RZWSgiY9HoVTiczqp+eSThr6NfvBgQm+7DZX/OTxbTkamC/BZrRQ/+STC7iDsrjsxjj7FmTz2GshZJ91ODAzrAiU7svQZkj1DN9HUxiU9JJ3fjvztaQlTdpeX5TsLeGdTHvlVtja3UykVXDo0hrumpDAsPvgMWt73EEJQ8/HHWDduQqFRE/HAA+j69evpZp0dVB2Fne9JfUaQCi9G3SzN5j3F/2e310eNzUW4n+6UBncq33oL+85dGCeMJ+zWWzv+ho46KNohCedlBxr7HSAdR+IEqeI8NPXsF85bw+OSZuIc/lrKRDpBULxk9ZI8BbRGcmtz+ST7E0qs0kzUfsH9WDBgAdF+0W3suPtxuL1kldTVi+qSuJ5baT3t/SkUkB7p31CtPiIhmP7RAb2jr3wO0+dEdJCCRceNG8crr7wCSMGiiYmJ3HfffW0Gi9psNr788suGZZMmTWLYsGHNgkUfeeQRHn74YUD64CIjI+Vg0bMc+/4D1Hz0Ed7aWgD8zz+foDlXodQ18bMSAg5+DvuW4BOC3aI/9xydQIW99X3GBRt47JL+XD4s9qyqqnB6vJTXOSkxOSgx2Sk1OSirtaCuyCSiZjeJ9oOo3daGGm07Onb70tnhyyBTJOGh+0dJVUoFAXo1gXoNgQY1ATrpPlCvIUDf+PiEQB7YdJleg79ejep0/0Zue5NA1OpTDkZd5qvhR5+ZUNT8XhFFzVeleOpcBA0PJfCaW2HIPKpcJj7I/KDBD25o+FCuH3g9Adruu7iSkekVWCqkznXkAIgd1TcvInoIq9vKC9teoNpRzaCwQdwz/B6Uis7pnDvcXtZnlrF0RwGbjlQiBIQ46rg25zuirVUIhYJvEsbwU6xU5R3mp2XOyDiuGZNA/+hecJ6zVUPWF5KYfqIaLDxdCiCNGd4p/4ctRfMj+GzNBSiFXo8uvR+6jAz0GRloEhLarHoVQmDdvJnaxUsQbjeqkBDC7rwDXZps+yUj01mYvvySutVr0MTGEvXUkx0XneuKIWuVZEt2QigLiIYBl0PK1B4JAfyh4AeW5yw/bRuXcrOD9zcf48Otx6i1udvczk+rYsG4RG6bnEx8yJkN1vZlhNdL1ZtvYt+7D6XRSOSjj6BpMhNeph2EgPyNsOfjxlnS0cNg9C2SINuFuMvLKX3mWRCCqCefRBt/kpl99hopbLNgqxS+eSI8GCAwrl44HwfBSedWn7c6T6pOz98IXpe0TK2ThPT0GXiC4vmh4AfW5K3B5XWhUqi4KOkiZibPRKvqnY4AJpubfUW17C2oZU+BiT0FtVRa2s4TOhk6tZLBsYENovrw+GCSwozyzMNupE+K6EuWLOGWW27hf//7H+PGjeNf//oXS5cuJTs7m6ioKG6++Wbi4uL461//CsDmzZuZNm0af/vb35g9ezaLFy/mL3/5C7t27WLIkCEAvPDCC/ztb39j0aJFpKSk8NRTT7Fv3z4yMzPR6zs2DVkW0XsnPpuN2k8/w/rTTwCowkIJvekm9AMGNN8wfxNseQN8HpzBabzuvZo3tlbg8vha2SsMiw/i95cOZEJqWFcfwklxuL2Nlip1dkkor218XmpyUGmRfqg0eBikyGe08jAjlYcx0HiSt2Bgly+dnb4MskUiXs6s4lylVBBi1J5E7Fb/YnnjY6NW1bt/MIQAh6leWK9pJrI7rBU8X/ETVpuFq39ykVwOSoOBmJf+gyJhGNtKt7H00FKcXidalZZ5GfOYGDOxdx+vjIzMWUmBuYB/7vgnbp+bmckzuTzt8k5/j6JaO5/tLGTZzkJKKuqYnbeZERVSxVhWaDIr0s5rFsg0PD6IeWMSuGJ4LEGGHg6JtVVLXsVH1jeK6WH9pMr0mBGndIErhMBdVIwz51C9cH64ddG8Xz90GenoMzJQx8fj9CkwO91Y6rNBLA4P5vp7i7MxL+TSoTGkhPvhKiyi6s038ZSXg0pF8Jyr8L/wQvk3REbmDPFarJQ8+STC4SDs7rsxjuqA5UbFIWlArnAnnChHCesHg66UMj/ONJD0NKmwVfCXrX/B7XOfso1LTpmZtzfmsmJ3MS5v69dCANGBem6bnMyCcYk9fy4/S/C5XFS8/C9ceXmoQkOJeuxRVMHBPd2sswe3XSqAy14tDVYpVJAxU/rN1nbNzKyaTz7B8uMG9EOGEHHfva1vZK2SRPOCrdI5oal9aEiyJJonjO9ywf+swGWFvA1SAU1dcePy8AxIn0FVRAbLjq7gQKUUwBxmCGN+//kMDhvcQw3uOEIISkwOSVQvlMT1/YUmrO2ELp+MYKOGYfHBjIgParCDOZfCmbubPimiA7z66qu8+OKLlJaWMmLECP7zn/8wfvx4AM4//3ySk5NZuHBhw/bLli3jySefJD8/n/T0dP7+979z6aWXNqwXQvDMM8/w5ptvUltby3nnncfrr79OxikEN8kieu/GkZVF9Ycf4q2qBsBvynkEz5mD0tikWqIsEza+JJ3Y/aMoHvkgf//JxIo9xW3sFS4aGMUTswbQL9K/S9ptdXoa/MZPVJCX1Dma+JDbqWmnMgQk4XyoIpfRyhyGK4+ix9Wwrg4/dvnS2eHrT46Ix0fHOvoalYKoQD0xQXqigwzSfaCe2ODG5+H+utOvBO8DHMjeQNZLf8S/1kFaWBoJ9z2Mt38qiw8tZk/5HgBSg1K5adBNRBi7xxdTRkbm3GRbyTbez3wfgLuG3cXwiOFd8j4+n2BbfjVLtx+n9JsfuPDIZlQ+L1WGIJZkXEB5k0AwkCpuZg6OZv6YBCalhfXsDC97DWR+0WEx3esTmB1uzPkFWLMl0dyXexSvxYLXJ/DU31xKNZXhcZSExXE8KJZCQyhmlw+LUwrVtjg97YbyNUWrVvLUZYO4cXwiwumk5qOPGgLVDcOHEXrzzSj9ZHsXGZnTxbRyJXVrv0ITF0fUk39oe2BKCMnbOHMlVOY0Lo8bDQOvkMKLe3BQSwjBv3b9i6O1R8kIyeD+kfefdJBNCMHmo1W8tTGXHw5VtLvtoJhA7p6ayuxhMbL1wGngtVgof/ElPGVlaOLiiHz4oebXpDInx1wKuz6QrFJAskwacR2kTu/U757XbKbk939AuN1E/O536Ps30YfMZY3CeVOrEpD6DyeE84DeY0nSqxBCqtQ//LVUuX9ihrcuAFKnsy80jqUF31DrrAVgROQI5qXPI1gf3GNNPh28PsHRCgt7Cmob/NWzS8x4Otr5a4W4YINUqZ4QxPD4YIbEBeEn+6t3Cn1WRO+NyCJ678fncGBasQLLDz8CoAoJIeSGGzAMaTKqaSqCH/4C1krQ+sO0x9jnjOLPq7PYmlfd6n5VSgXXj0vkgYvSOzwqKITA7PQ0E8MbxfLGkM6OJov/Eh0uhipyGaPMYagyFx2NQnstAeysF86PiFjEL4RznVpZL47riQky1N9LIvmJ52F+2rPKzqa7ceTkUPW/NzlWmk2pxkbBNZOYPm4+n2R/gtllRqlQMjt1NjOSZnSatYKMjIxMeyzPWc4PBT+gU+l4dOyjXe4zaXa4Wb9uO/aF7+KursatUvNF6nnsD2/deiQu2MDc0fFcMzqehNCuExOcHm9Dhbe5SeW3xSlVf7st1cQWryex+ieEx4XX56NQGcu3qqns9iShq64kouI40dXFJNeVYnQ7mu3fpdJwLCCKY4HR5AXGUOIfjq+Tz/MzB0fxwtxhBBk0WDdsoGbZMvB4UYWFEn7XXWiTkzv1/WRkzgW8Fgslf3gS4XQSfs+vMDTJymrcyC1ZEWR92VhBqVRLdgQDL+s1VabfH/+eTw9/2iEbF7fXx6p9xby1IY/Mkrp29zu9fwR3TUllYlqYPPPlDPFUVlL297/jqzOj69+fiPvvQ6GWRbBTpngP7FrU+H0MTYXRt0oDWZ3ACXsnbVISkU88jsJcAse3SMJ5TX6TLRUQkSGJ5gnjwe/UrJPOeWzVcPQ76Warql+owBk9hDX+fnxnzkUg0Kq0XJ56OVPjp6JSnj05bb/E4fZysLiuQVTfW1Dbbt7EyVAqICMqoMFffXhCEP2jAlDLg5ynjCyidyOyiH724MjJoeaDD/FUSFUWfhMnEDxvXmP1lr0WNrwojSgr1TDxPkTiBL7JKueva7PIrWg9QMJfp+bX56dx++QUnB5vg//4L8XxExXlZzKtpzX0OBmuyGW08hBDlXloaBTgq0QQO0U6B5QDcQSlEhNsIDrQ0EQsbxTNQ4wauWN8Blg3b6b644/B44XEWP43oopaXePfItovmlsG30JCQEIPtlJGRuZcw+Pz8OruVzlSe4RIYySPjn0Ug7rrw1u9FgtH/vMGxTv2UWJysDG8P+uSxuFr5+JnYmoY14yJZ9aQGAxaFUIIbC5vK8K3u1Uh3NqGJYrF4WnXmqApgViZqdzGDOcODCYnmloPLpOaCncQZtEo8rtUGo4HRJF/QjT3C2v32DqL2CA9/75uJGOTQ3EdO0blW2/hrawCtYrgefPwnzZN/i2XkTkFaj9fgXndOjQJCUT9/v+af39cVsnL99BacNRKyzRGKSg04xIpYL6XUG4r569b/4rb5+ba/tcyJX5Kq9vVOdx8svU4CzfnU2JytLoNgFalZM7IOO6ckkJ6VC/Is+hDuI4fp/wf/0Q4nRjHjiX09tvk8/bp4PXA4XWwf5lk9wKQfB6MuOGMvps+p5OS//s9PlMVYTOHYPQrAVNhky0UEDUIEiZA/JhedR44a/F5oXi3FMxcuq9hcaHej8VGDflKQKUhISCBBQMWkBSY1HNt7WRqba6GwNIT4voJS97TQa9RMiS20QJmRHwwCaEG+RxzEmQRvRuRRfSzC5/TiemLL7B89z0IgSooiJDrr8MwvH6Ku8cJP/2ncYrYiOth4BW4fYLF2wv41/ocqqytn9SUCjo8NftMMeJghPIIYxQ5DFcfw6gBvVqJTqPCY4zEFjUGReJ4guMGEB1sIFCvlk+cXYQQAtPnKzB//TUAxjGjCb35ZrZW7eLDzA8BmJ4wnSvSrkCjkn0jZWRkup86Vx1/3/Z3ap21DA0fyt3D7u6W3wTh81G3ahWm1Wuosro4qA7hn+HjqVa3bz2i1yjRqJRYnB66pacqBOF2Eyl1JSTXlZBcV0qQ20KEopZwRR0KfKBUUBkQxI+BI/gxYDjFfuGdKpprVAoC9Br8dWrpplejUij4ObeqxbZKBTx4UQb3Tu+HwmGn+v0PsO/ZA4Bh9ChCb7wRpaHrB0pkZM52vGYzJU8+JVWh//qexusBaxUcWi0FEHvqc4SMYdB/FqRdCNreZcEhhODlXS+TW5vbpo1LYY2N937KZ/G24+0W9AQbNdw0IYmbJiYRGdCxjDCZU8eRmUnFa6+D10vAjBkEz726p5t09uIwwZ5PIPcHQEihlYPnQP/ZpxbsKwRU52Je8QG1q75FbfARPTtO+i4p1RA1RLJqiR8D+qCuOhqZuhLp3Jv7A7gsCCH4SeFgpU6B3RCMQhfAeXFTuDztcoya3nUu7gyEEBTV2tlXL6zvKahlf5EJ2xkUYoYYNZKoHi8Flw6LDyJM9ldvhiyidyOyiH524jx6lOr3P8BTVgaAcewYgq+9FpW/P/h8sPt9qeoEoN9FMOZ2UKowO9z898ejvL0xD2cb4aOdSZBBQ0x9xXiSv4/hisNkOA8SZT+MQSVZsKhVSgiIqU/8Hi+FmMiCebfgczqpfu897Hv2AhA4+1ICL7sMhUKBEIK9FXsJ0gWREpTSwy2VkZE518k35fPyzpfxCi+XpV7GJSmXdNt72/fto3rhQnw2O26Dka3jZrOoTE12qbnb2tCMVkRzvxNVbPW4lWqOB0RRFhRKYnAZowKPoFVKs4uOiWi+8E5kr0jDqG0UvQPq7yUhXArM9m+yrOF5w/Ya/HQq/PVqdOrWBflvs8p4ZNneVnNQJqSG8q9rRxIVqMPy3XfUfvY5eL2oIyMJu/sutPG9w2JCRqa3UvvpZ5jXr0eblEjkE0+gqD0uWbYc29zo0xuUAAMvh6TJoOqdthtbS7byQeYHaFVa/jD+D4QZwhrW7Sus5c0Nuaw9UIq3nWqf5DAjd5yXwtzR8Ri1vfM4+xrWLVuprs9zC54/n4ALpvdsg852qo7CzvegUgo4xz8SRt0iZRa0l3NQeRgKJKsWYa6gZFUhXquHkHGR+E+dJgnncaNB1zVZaDJt4HHB8Z8l7/SqI5iFl898tWxXecE/gsCgZK7uP5/RUaP7fLGg1yc4Um5pFlyaXWpu95x+MhJCDQ2i+vCEYIbEBmHQnr1WOWeKLKJ3I7KIfvYiXC5Mq1ZjXr8ehEAZEEDIdQswjholbZC9Bna9DwiIHQmTHwSNVJFRXGvnpa8P8fnuotOukgvz07awVIkObHweHaTH6LVA4XbJg608E0QT4T4ooVE4D4qXhfNuxlNTQ+Xrb+AuKAC1itCbbsZv/LiebpaMjIxMm2wu3szHWR+jQME9I+5hcNjgk7+ok3CXl1P15lu4CwtBoSDwqispGDyepTsLWbmnGJO9/bDsM0IIwh2mBsE8pa6UIK8DtVKBWqVApVSi0Gioi4zDGp+CKyEF4hPwM+rqhW8NQUo78aXfEFb8AxrhQqVUoApPRTn0mvYv0DuBUpODB5fsZktuy4yWEKOGl64ZzoUDo3Dm5lH11lt4a2pQaNQEz78Wv/Mm9/mLSxmZ08FbVyd5obvdhC+YiUFkQcmexg2iBkvieSsBw70Jh8fBH3/+I3WuOq7sdyUzkmbg8wm+zS7nrY25bGsj2+kEY5JCuGtqKhcNjEIl5x51O3VfrcO0YgUoFITddWfjdajM6SEE5G+CPR9JweEA0cNg9C2N2QU+H1Rk1YeDbmvcDrAVOKnaaUcZFkPsP/6DwijrO72C6lzJWit/E4c8dSzx1VCOF4yh9I8dz7XD7ybSGNnTrexW7C4vmSUm9hSYGmxgjp2Bv7pKqSAjKoARCUFMSA3jyhFxndja3o8soncjsoh+9uPKz6f6/fdxF5cAYBg5kpDrFqAKDJQSozf/WwoUCkmGaY838z07UGTiL2uy2Hy0cbq1QgHh/romoZx6YoINzUI6IwN16DVtjPTZqqUf9IItUJ4NNPmahiRLonniBAiM7fwPQ6ZDuI4do/L1N/CaTCgDAgi/51fo0loPzZORkZHpTSzOXsymok0Y1AYeG/sYEcaIbntvn8tF7SefYP15CwCGESMIvfkmXBod6zPLWLqjgE1HKtscnNaplS2qu5tWfPudqPbWqgi2mQguO45/UT76gjzUNgsqpRK1UoFSqUCp0aBNTUWXkY6+f3+0SUkoNB2w3HKYIHs15HzVaPMQkgxdLKZ7fYLXvz/Cy9/ktGodd9vkZJ6YNQC1w0H1ooU49h8AwDh+PCHXX4dSJ0/blZFpSu2ypZhXfYbWYCFyirF+sEkBieNh4BUQdnb061YeWcn6Y+sJN4TzyOgnWLmnjHc25pFb2XqWE0iWUJcMiebOKamMSgzpxtbK/BIhBLVLlmD54UcUGjXh99+PPiOjp5t19uN2wMHPIXsV+DygUEH6RZL3dsE2cDYJ01XrIW40In4cZe9/jbuohKArLifw0kt7rv0yreOyQt4G3Dlf8a3pEF/56vAgUGsDmJkyi4tG/QpNH7R46SjVVhf7CmvZW2Bib6FkBVPdhhVxe5zXL5wP7xzfBS3svcgiejcii+h9A+F2U/fVV9R9tQ68XpR+fgTPn49x3FgUVUfhxxekH1tjmCSkhzSGWQghGsJEowL1RAbo0apPMRHZWimNhh/fApU5zdeFpkkd+oTxEBDdCUcrcybYdu2meuFChMuFOiaaiHvvRR0uJ7HLyMicHXh8Hv6969/kmfKI8YvhkbGPoFN1n8AqhMC6aRM1S5aAR7IeCf/V3WjipIqXsjoHh8ssaNXKZhYofjp1m7+tQgg85eU4c3Lqb4fxmkzNtlFo1GhT0yTRPCMDbXJyx0TztnDU1Yvpa5uL6UPmSX6pXSSmb8+v5oFPdlPcSiDg4NhAXrluJCnhfpi/Xo9p5Urw+VDHRBN+111oYuXB9z6BwwSmItAHSr68Wv9eXSnd63A78O5dTcnf/o1wOgifFoUhIQhSz4cBl51Vfe0KWwXPb3kes9NJlO9y1u3StiuYGLUq5o9J4PbJKSSGnbtCU29D+HxUvfkW9j17UBoNRD7yiHy+7izMpbDrg8a8sxNo/SBujHSNHT0MVBocWVlU/Ps/KLRaYv7yF1T+7ee3yPQgQkB5JhVZK1hS8B3ZQqrAjlQZuTb1MvoPvUGy8znHEUJQWGNnb70FzN4CE/uLTNjd7fur3zs9jUdnDuimVvYOZBG9G5FF9L6Fq6CA6vc/kCw6AP2woYRefz0qlRN++CuYS0BjgPMegphhZ/Zm5rL6aWRboepI83XhGVK1efw48O++KkGZthFCYF73tTTlEtAPHkzYHbejNMoXITIyMmcXJqeJF7a9QJ2rjpGRI7l9yO3dbvnhzMuj6s166xGtlpAbbuiwJZYkmlc0Ec1zWhfNU1LRZWSgy0hHl5yMQnsKAWMdPhCzJKYfWtMopgcnwZC5ko9qF3yutTYXj3+6j3UHy1qsM2pV/OnKIcwdHY/z8GGq3n4Hr8kkfcbXX4ffhAmd3h6ZbkIIKWht53uN/2sgBd7pg+pvwdK9Ibj15xrjuSu4O0yQ8zXkfEXNlmNYDtWhjQwg8re/QtF/5lkXFJhbYeH5n15hf+U+TLWRuCpnAK3/bSMDdNw6OZkbxiURZJRD7nsjwuWi/N//xnU0F1VICJGPPYo6RJ4l0GmU7JW+/4ZgqTAtclCLjIPyf/8bZ1Y2/hdMJ2T+/J5pp8wpI6xV7N63iOV5q6nzSGL6WIUfc+KmEth/NsSMBOUpFjj2BYQAtw1cNnBZpCp+tw2vw0xxRRWFZRWUVlZTWV2N1WxCjxM/HKzzjeXmG27l4sFnz4ByZyCL6N2ILKL3PYTHg/nrrzGtWQMeL0qjgeB58zCOGoJi0z+hPEuaEjbuLkg7xQCYumKp2rxgK9TkN1mhgMgB0o96wvhmljEyPY/weKj56KMGCwL/888n+Jp5KFTnbviGjIzM2U1ubS7/2vUvfMLHnH5zuDDpwm5vg9dioeqdd3BmZQP159Z5c1Gom1/YCiHwVFTgzDncKJrX1jbfmVqFrkE0z0CX0kWieVs0iOlrwVNfJR6cKFWmd4GYLoTgw63H+dOqTFytBJ3PGRnHn64agsFlp+rddxs+Y79JkwhZcG33fjYyZ47DBNvehML6akpDCHhd0kXxqaBUS8K6Ifjkgrta3zcEd3OpZOmQ+wN43XjtHkrWViAMkUQ89hT6ocN7uoUd5ki5mTX7S1mzv4ScmkPoIr5GoMBZeiXCE9xi+wHRAdw5JZUrhsee+ixZmW7Ha7FS/tKLeErL0MTGEvnIw3KxTjfhOn6csr/8FZRKYv70R9RhYSd/kUyvwua0sHr3G2w49g3CWYcBJVcogzjPPxlF+gxIu+CsGyzF6wG3Vfqtd1nrxXBb42O3reXyhu1tNLMFbu9tfAKzw02dw8O36mnMvv4+IgP1XXtsvQxZRO9GZBG97+IuKqL6/Q9wHTsGgH7QIEKum486Zwkc+0naaMhcyQe1vcRvU2FjxXnt8cZ1CqU0Cp44QZr6bZCrDXojXouFqv+9ifPwYVAoCJ5/DQHTT3HwREZGRqYXsqFwA0sPLUWBgntH3suA0O6fuil8PupWraJuzVoAtKmphN11J8Ltxnn4cINw7q2paf7CBtE8vV40T+kdwrDTLAWTH1rzCzF9rjRI3smiZHZpHfd9vJsj5ZYW65LCjLxy3UiGxgZSt3YtdatWgxBo4uIIu/suNFFRndoWmS6iaCds+a9kK6hUS/3OgVdIlXVet2Qt5KiVbvZaSXD/5WOHCdz2U3tflbYVkT24ddFd3Qs996uOQuZKyf/4hJAQmkpNXiCWvcfQpqUR+cgjvTp4VwhBTpmFNftLWLO/hMMN33MfuqgvUGpq8VgG4q5t7l07JT2cu6akMiU9vFcfn0xLPFVVlP/9RbwmE7qMDCLuv+/MrMdkOkTVO+9g274D47hxhN1+W083R+YMOFZ3jMX73qGgfB/YKkkWKq5VhpKgMkpFDekXQ8SA7hkkFkLqC7qszW9ua8tlLYRxqzRYfqaoNKDxkyyMtEbJAk5jrH/uX7/Mr3GbgBjwO/cGkWQRvRuRRfS+jfB6MX/zLXWrvkS4PSj0eoKvnoNfYBGKzBXSRslTYPw9jVPChIDaY3B8qxQOWlfcuEOFCqKHSv5rcWMkP0uZXou7tJTK117HU1GBwqAn7I47MQwZ3NPNkpGRkekUhBB8mPUhW0u2YtQYeXzs44QZeqbjbN+3j+qFC/HZ7JI46PtFdbVahS4lpaHSXJuSgrI3iOZt4TRLVemH1jSKl0EJkpieOOGkF29Wt5XPDn/G4ZrDXNXvKkZFjWpzW7vLyx9XHeSTbQUt1mlUCh6/ZAC3T07BlXOIqnfexWc2o9DpCL3pRoxjxpzRYcp0IW4H7Hofjn4rPQ+Kh4n3QWjK6e3P42ouqttrG8X3huf165vaxXQEta6NyvbglqK7ugu/t0JA8W7I+hLKMxuXx4yAgZfj0cZS8vTT4PES8eAD6Af0Ps9XIQRZJWZJOD9QQm5Fy9kGKv8stMFbET4djpKrQegI89Myc0g0N01IYmCMfH1xNuMqLKT8pX8gHA6MY0YTescd8mBIF+KprKTkqadBCKKe/APa+PiebpLMGeITPjYUbuDLIytxWkpRWCs436NktiIIvUIp9cfSL4bk8yQRuT0aqsF/WendVBRvYpnyC/sURMvZgqeMxtgogGv96p+3IoA3vZ3Ypit/c/sQsojejcgi+rmBu7RUqkrPzQVA178/oecloT6yVDoxRg6CYfOljvvxLWBp4lOqVEuBJSeEc51/Dx2FzKngyM6m6s038dnsqMJCibj3XjnkR0ZGps/h9rp5edfLHK87TnxAPA+PfhiNqmeq3tzl5VS9+RbuwkJJNE9ObhTNU1N7t2jeFk6LJKQ3E9PjJZuXNsT0PeV7WHJoCWaXuWHZlLgpXJ1+dbt/m1X7ivm/T/djdnparDu/fwQvXTOcEI+dqnfelWZXAf7TphI8b55c6djbqDgEP79W359UwIBLYdiC7rsYdjtaF9dbE9+97lPbt8bYvo3MCfFdH9TCs7hNvB44tgmyVoGpfjBJoYLkyVJYaEgSADWffILlxw3o0vsR8dBDvUaYFEJwoKiONQdKWLu/hPwqW9sbK53ooz9DoXSid0zlsn7TmTU0mnHJoahVsmVLX8GRnU3Fq6+Cx0vARRcSPG9eTzepz1KzeAmWH35AP2gQEb+9v6ebI9OJmJwmlucsZ3f5bnDbCLKbucbhYbhPI53/1TpInAQafXMBvKlNyqkOKreGUt2k+vsXFeDNKsN/IYCfeHwuerp3M7KI3o3IIvq5g/D5sHz/PaYVKxFuNwqtlqBpw/H3/IDC+4uTq0ojVb0kToDYUScf4ZTpVVg2bqTmk8Xg86FNSyX8nntQBQT0dLNkZGRkuoRqRzUvbHsBq9vK2Oix3Dzo5h4Tl4THg6esDFV4OEpdL7SIOF2cliaV6fUCWVB8vc3LBFAqsbgsLMtZxs6ynQBE+0WTEZLBhsINAMQHxHPHkDuIMLYdOF5QbeP+T3azp6C2xbqIAB3/unYEk1JCJAudtV8BoElMIPyuu1BHyEHmPY7XAweWw8EVgABjGEz4DUQP6emWtY4Q0uBQu4J7k+e+lgM87aL1b19w1wVKFefZa8BeLb1GrYN+F0H/2c2mpHuqqxur0H/3O/T9MzrhAzh9hBDsLTSxtr7ivKC6Y3Y7odE7CIvMZVB4Ei9d+AwaOZ+nz2Ldto3qd98DIHjeXAIuuqiHW9T38FoslPzf7xFuNxG/exB9//493SSZLuBg1UGWHVpGpb0SfB4GK43MtzgIs1Z1fCdq/S+E7laqv9tap9L2jYyRPowsoncjsoh+7uEuL6fmgw8bqrh08eGEJJag0TkhbpR0MRw7UhrRlDmrED4ftZ9+iuXb7wAwjh9P6A3X9w6fXRkZGZku5FD1IV7d8ypCCOZlzOP8hPN7ukl9E5dVEtOzVzeK6YFx7E4YzhJTJha3FYVCwYykGcxKnoVGpeFg1UHeP/g+VrcVnUrHDQNvaNfexe318c/1Ofz3x6P8sqevUMBvzk/jwYsy8GRlUf3ee/isVpRGAyE33YRx5MguPHiZdjEVwuZXoSZPep48BcbcJl2A9wWEkP7/2xPZG56bQHhPbf/6YOg/C9JntPqZVX/0EdaNm9BlZBD50O/O/HhOA59PsLuglrX7S1h7oJSi2o4J5zFBemYNiWFcumBV0RsA3D/yfvqHyoJfX6du/XpMn34GQNgdt2McO7aHW9S3MK1aTd2qVWiTEol84oleMztFpvNxe918lf8V3xz7Bq/wolGqmRUylAs8StRqXfPq79asUZTygGVfRhbRuxFZRD83EUJg3bCB2s8+RzidKNRqAi+bTcBFF6FQd3DqqUyvwudwUPXOOzj2HwAg6IrLCZg1S+5MycjInDN8d/w7Pjv8GUqFkvtH3k96SHpPN6nvUi+mm7NWstRZzG5hA7WemIjB3Dj2YZKCm/te1zhqeO/ge+TWSrZyHbF32Xi4gt8t2UulpeVU5FGJwfx7wUhiFE6q3n4b11Fpv/4XXkDwnDlyX6Y7EQJyvoI9H0nWKFp/GHeXNJvxXEUIaRp9g3VMO7Yy+mDof4k06NDG98FTVUXJM89IVegP/Q59RvdVoft8gp3Ha1izv4SvDpRSYnJ06HVxwQYuHRrNrKExjIgPRqGAV3a/Qk5NDiMiR3Dn0Du7uOUyvQEhBLXLlmH57ntQq4i4/365WrqT8LlclPzf7/FZrYTddSfG0aN7ukky3UCptZQlh5ZwuEYqiIz2iyY1KBWD2oBBY8CgMkiPT9w0BvQqfcNzWRvom8giejcii+jnNp6qKqo//BBnVjYA6phoQubPRz9wYA+3TOZU8FRXU/na67iLilBoNITeeovckZKRkTnnEEKw6OAidpTtwF/rz+NjHydEH9LTzeqTCCHYXb6bJVkfYa3JR2Et52KMXKIIQhMUVx9AOqmZD6bX52V13mq+zv8akOxdbh9yO5HGyDbfp8Ls5OFle9mQU9FiXYBezQtzhzFrYASmlSsxr/8GAG1KCmF33Yk6NLSTj1qmBdYq2PI6lEkD+MSMgPG/AmP7n73XJ1Ap5Qv5jlL94UdYN21CN6A/kQ8+2OXv5/UJtudXNwjn5eaOeeomhhqZNTSa2UNjGBoX1Eys2VO+h7f3v41aqebJCU8SbgjvqubL9DKEEFS9/Tb2nbtQGPREPvwI2vi4nm7WWY/5hx+oXbwEdUQ40c8+i0K2RjpnEEKwvXQ7nx35DIvL0uHXKVCgU+uaiex6tR6j2thiWTMhvslNo9TIQnwvRBbRuxFZRJcRQmD7+WdqP1+BzyyFgBlGjiR43lzUYWEnebVMT+PMzaPyv2/gqzOjDAwg/Ne/RpeScvIXysjIyPRBXF4XL+14iWJLMcmByTww+gE0Sjl0sjOpc9Wx9NBS9pTvASDWP5ab+s0loeSAZPPiskobBsRIYnrS5GZi+i/tXa4feD2jo9oe+PX5BO9syuOFr7Lx+Fp2/a8bl8jTlw2CrANUL1qEz2ZH6edH6K23YBg6tFOPXaYJ+T/B9rclWx+VBkbeLFmRtHFxXW528N5P+Xy9KQtnbS26xEQGxIUwKDaQQTGBDI4NJCJAJ1+c/wJPZSUlzzwLXi+Rjz6CLi2ta97H62NbXjWr95ew7mAplRZXh16XEu4nVZwPiWFwbGCrfz+3183zW5+nyl7FzOSZXJ52eWc3X6aXI1wuKl55Fefhw6iCgoh8/DF5oPMMEF4vJc88g7eyipDrFuA/bVpPN0mmB7C6rewu343ZZcbhcWDz2LB77A23E8scHgeeU830aAOVQtWuyH4yEV6v1qNWyrMFOxtZRO9GZBFd5gQ+mw3Tl6uw/Pgj+HwoNBoCZs4k8OIZsqd2L8W2cyfVCxch3G40cXGE3/sbuUMqIyNzzlNpr+Tv2/6OzWNjUuwkrh94fU83qU8ghGBn2U6W5izF5rahVCiZmTyTmckzGy+IXDbJ2iN7tWRnARCcCCNugJjhDQJrraOW9w6+x9Hao0DH7F32FtRy/ye7OV5ta7EuI8qfV64bRZraSdVbb+M6dgyAgJkzCbricrlCrzNxmmHHu3Bss/Q8NA0m3QeBsa1ufrzKxls/HmbP+s2MKMokzVQk7UalIS8olqNBcRwJjqNGH0i4v5aBMYFNhPUgUsL9zumq9er3P8C6eTO6gQOIfOCBTt232+vj56NVrD1QwrqDZVRbOyacp0X4MXtoDLOGxjAgOuCkAx/r8tfx5dEvCdIF8fTEp9Gp+lDoskyH8VmtlP/jH7iLS1DHRBP1yCMo/fpIZkI3Y9uxg6q330Hp70/MX/6MUr5WlzkJbq8bu9eO3V0vsHsdkthe/9zmsUnL3PZmQvwJMd7usSPoHPlVq9I2iuoqvWRDcwrV8XqVXh5w/wWyiN6NyCK6zC9xFRZRu3QpzpwcAFRhoYRccw364cPlk1UvQQhB3Zo11H25CgD90CGE3XEHSr0cBisjIyMDkFmVyRt73kAgWDBgAefFndfTTTqrMTlNLM5ezP7K/YBkxXLDwBtICEho/QUnxPSsLxsDSKOHSmJ6qDRbyuvzsiZvDevy1zXs82T2LmaHmydXHGDlnuIW63RqJU9fPojrRsZg+nwFlu+/l5an9yP09ttRh8jWPmdMyT7Y8gbYq0GhlGYaDLoKVC2ryrJK6li4Zjfl329gVNkhAlzS/4FQKHCotBg8zS1CqvWBHAmO40hwPHmBMbjrB1T0GiUDohuF9UGxgQyMDsSg7fsDI+7yckqffQ58PiIfexRdauoZ79Pl8fHT0UrW7i/h68wyam3uDr2uf1QAs4ZGc+nQGDKiAjr8fianied+fg6X18Utg29hbLQcLHku46mpofyFv+OtrUWX3o+I+++Xi7VOESEEZX/9K+7jBQRefhlBs2f3dJNkzgGEEDi9zhZV7m1Vvv9SiLd77Li8HRuoPRkKFA2i+gnB/cTzkZEjGRYxrFPe52xCFtG7EVlEl2kNIQT2nTup/fQzvDU1AOgHDST42mvRREX1cOvObYTLRfWHH2Hbtg2oD1GbOxdFk6nyMjIyMjKN1Y8qhYoHRz9ISpBsdXWqnPDdXJ6zHJvHhkqh4pKUS5iRNKNj03GdZjj4OeSsgxNTiZPPg2ELwD8CkAY8Fh1chNVtRavScsPAG9q1dxFCsHxnIU+vPIjd7W2xftaQaP529TA0Wfuo/uBDhMOBMiCAsNtvkzNfThePE/Z8LA2MgGTVM+l+CGtpLbI9r4pPl3wHWzeTUVOAUvgAsGoM7I5MZ0fkAGp1/sRYq+hnKiSttpgEcxmq+u0AvEoVxwOiOBoUy5HgeEqNoc1sYpQKyUZkUGxQg7A+ODaQcP++VeFcvWgR1p+3oB88mIj77zvt/Tg9XjYdrmTN/lLWZ5ZS5+jYtP6BMYFcOkQKB+0X6X9a7/3+wffZVrqNlKAUHhr9kFyQI4OrsIiKf/4Dn82OYdQowu68Q76OOQUc2dlU/OvfKLRaYv7yF1T+cjW/zNmBx+dpFOLdTarfm1TEN62St7ml9Sfu7W47XtGy39eUK9Ku4OLki7vpiHoPsojejcgiukx7+JxOzF99Rd369eDxglpFwPQLCJx9qVz13AN4zWYq//tfXEdzQaUiZMG1+E+Z0tPNkpGRkemVCCF458A77CnfQ5AuiMfGPkaQLqinm3XWYHKa+Dj7Yw5WHgQgISCBGwfdSJz/aQTCWSpg32LI3yQ9V6oh4xIYfBXoAqh11LLw4EKO1B4B4Ly485ibPrdde5cj5Rbu/2Q3WSV1LdbFBRv4z3UjGKb3UPXWW7gLC0GhIPDSWQTOni0LNqdC1VH4+VWoq6/+T78YRt4I6kbBWgjBD7ty+f6j1QQf3EWoo/Fvkh8Yw46o/mSGJqPSqLl6ZDxXjoiloMZGZnEdB4vrOFpQSWRlIf1qC+lnKiLEYW7WBIvGwNHgOI4ExXE0OA6bxtBqUyMDdM0q1gfHBpEUakR5FtrBuMvKKX32WRCCyMcfO+W8G4fby4acCtYeKOWbzDLMzo4J50PiArl0aAyzhsSQEn5m4lyeKY9/7PgHAI+OfZSkwKQz2p9M38FxKIeKV/4DHi/+06cTPP8aeYClg1T85z84MrPwnz6dkGvn93RzZGS6DSEEHp+n1Qr4E4/TgtPOyaIZWUTvRmQRXaYjuMvLqV22DMf+AwCogoIImjMH4/hxcoenm3AXF1Px2mt4q6pRGg2E3X03+gEDerpZMjIyMr0ah8fBSzteotRaSmpwKr8d+Vs50OgkCCHYWrqVT3M+xe6xo1KomJU6i4sSLzrzz67qKOz5CMokYR6NEQbPgYxL8CpVrMlbw9f5XyMQxPnHcfuQ24nya3sGnMPt5W9rs1m4Ob/FOpVSwe8uSueeSYnUfboc60ZJwNcN6E/Y7bejkvu97ePzQuYK2P8pCC8YQmD8ryB2ZMMmbo+Xb77ayt7la4g4dgiVT6oQc6h17I3ox/bIAVQagzFqVVw/LpE7p6QSHdSyCMPnExyvtpFZUkdmkYljOcdwZmcRXpxHcl0pWm9zy5Fi/3COBMVzNDiWAv9IfMq2rV2MWpXks97Ea71/dAB6Te+2g6l6byG2rVvRDx1CxL33dug1dpeXHw6Vs+ZAKd9llWF1tV+xd4LhCcFSxfmQGBLDjGfS7AaEELy04yWO1R1jfMx4bhp0U6fsV6bvYNu5k6q33gYg6Oo5BF587lWPniquggLK/vwXUCqJ+dMfUYeF9XSTZGRkegGyiN6NyCK6zKlg37+f2qXL8FRUAKBNSyVkwQK0CW14osp0CvYDB6l6522E3YE6IoLwe3+DJjq6p5slIyMjc1ZQZi3jxR0v4vA4mBo/lfn95cqttqhx1PBJ9idkVmUCkBiYyE0DbyLGP6bz3kQIKNkj2YPUHpeWGcNh+LWQPIWs6mwWZS7C4rKgVWm5fsD1jIke0+4u12eW8ejyva36O09MDeNfC0bgn7WPmo8/RjidqIICCb39DvT9MzrvuPoS5lLY/ApUSTMDSJwAY+8EneSFbTOZ+eaTtRSu+xZjdUXDy4r8I9gRNYADYSm4VRpCjBpunZTCLZOSCDaeuu9xpcVJVkE1x3YdxLTvIMojhzBUldI026y1gNKToVIqSIvwayKsBzEoNpBQv97hzewuK5O80IUg6onH0SYnt7mtzeXhu+xy1u4v5bvs8lYtjlpjVGIwlw6N4ZIh0cSHdI5w3pStJVv5IPMDtCotz0x8Rp4FJNMq5m+/pXbZcgBCb7sNv/HjerhFvZuqd97Ftn07xrFjCLvjjp5ujoyMTC9BFtG7EVlElzlVhNuN+dtvqVuzFuFygUKB/9QpBF5+hezJ1gWYv/+e2qXLQAh06emE/epX8ucsIyMjc4rsq9jHm/veBODGQTcyIWZCD7eodyGE4OeSn/ns8Gc4PA5UChWzU2dzYeKFqNqp8j0jfD7I3wD7loKtSloWnAQjb8AUmsx7B95rsHeZHDeZeenz2rV3KTHZeWDxHrblVbdYF+qn5aVrhjElyCfZuxSXgEJB0BWXE3DJJfKsuhMIAUe+hV2LwOuSZgqMuV3ysVcoqD6cy8YPv6D2560IpxQM6laq2R+eyo6oARTX+9zHBOm5a0oqC8YlYNR27swPS2U1RzfvomLnXlzZ2ThMdVicHnw+6bKwrYDSjhATpG9WsT44Noj4EEO328GcEMr0w4YS8ZvftFhvcXr4NquMtftL+SGnHIfb18pemqNQwJikEGYNkYTz2ODWLXE6A4fHwZ+2/AmT08SV/a5kRtKMLnsvmbOf2uXLMX/zLahVRNx7r5xd0QaeqipKnnoafD6i/vB7uYhNRkamAVlE70ZkEV3mdPHU1GD69FNsO3YCoPTzI+jKK/A77zzZa7QTEF4vtcuWYfnhRwD8Jk4g5IYbUKhlGwIZGRmZ02F17mrW5q1FrVTz0OiHSAxM7Okm9QqqHdV8kv0JWVVZACQHJnPjoBuJ9uumGU8eFxxaA5krwW2TlkUPxTt8AWtqs07J3sXrE7z63RH+/W0OvlauEu44L4VHpidjX74M689bANAPHkzobbei8j+94MQ+g70Gtv4PindLz6MGw4Tf4NMEUrxhM7uXr8WUcxSPVxJsK4zB7IgcwJ6Ifjjr/dH7Rfpzz7Q0rhgei1bd9X1BIQTu48exHThI2a591B06jMXmwuz0YHG4sfsU7QaUdoQAnVqyg2nitZ4e5Y9O3TWDS+6SEkr/+CepCr2JUFbncPNtVhlr9pfyY04FLk/HhPNxyaENFedRgd2TZ/TF0S/4Ov9rwg3h/GHCH9AoOz6QIXPuIYSg+p13sO3YiUKvJ/Lhh2SBuBVqlizF8v336AYOIPKBB3q6OTIyMr0IWUTvRmQRXeZMcRzKoXbJEtzFUuCUJiGBkAXXoktL6+GWnb34bDaq3n4HR6Y0nT7oqqsImHmxXCknIyMjcwYIIfjvvv9ysPIgIfoQHhv7GAHagJ5uVo8hhGBz8WY+O/wZTq8TjVLDZamXMT1xOkpFDwyGO81w4DM4/DX4PIACks8jK3EUi/K+OCV7l625VTy4ZA8lJkeLdUPiAnnlulFE5uyl5pPFCLcbVUgIYXfece72XY5vhW1vgssihb6OuB530CiOf/UtOWu/p7yiFuETeJUqMkOT2B41kOMBUQ2C9PCEYH5zfhozBkb1aIinz27HeegQ9sxMHJmZ2EorsDjdmB0ezA4PFULDXn0Uh08SUHoy1EoF/SL9m4eYxgQRZDxzsbjq7bex7diJYcRwNDffwfqsMtbsL2HT4Upc3pML50oFTEwLY9aQGC4eHEVkQPcI5yeosFXw/Jbn8Qovdw+7m2ERw7r1/WXOToTbTcUrr+LMyUEVFEjkY4+dE37fQgiE04nPbkc4HPjsDoTDjs/haLHMsmEjwuUi4oHfytX6MjIyzZBF9G5EFtFlOgPh9WL5cQN1q77EZ7MDYBw/nuA5V6EKDu7Zxp1leCorqXjtNTwlpSg0GkJvuw3jqJEnf6GMjIyMzEmxuW28uONFKmwVZIRkcO+Ie7vOrqQXU2Wv4uPsjzlUfQiA1KBUbhh4Q7tV3t2GpRz2fgLHNkvPlWpMqdN4j1qOmCUP9Y7Yu9RYXTz26T7WZ5a1WOenVfH8nCHMjlBQ9dZbeMrKQKUi6KorCbjoonNn0Nplg50LIU+a9SYCErAHTOfYhv3k79hHWZ0DBNToA9gZ2Z9dkRnNhOcp6eH8+vw0JqaG9brPTAiBp7wCR+ZBHJmZOHMOI5xOPD6B1SmJ6sX+Yew3RPOTIoyjhvB2A0o7QlywobmwHhtIXLChw5+Nu6iIguf+REWdg4/GXcOaSgWe1qZU/AKVUsGktDAuHRrDxYOiCPPXndFxnAlv7nuTfRX76B/an/tG3Nfr/i9kei8+m43yf/wTd1ER6qgoIh99tNdaWAohEC4Xwt664N3qMrsDn8OOsNevc0rrOAVJS5OQQNTv/0/+XsnIyDRDFtG7EVlEl+lMvGYzphUrsW7eDEKg0OsJnH0pAdOnyzYkHcB59CiV//0fPrMZVVAQ4b/5NdqkpJ5uloyMjEyfosRSwos7XsTldXFh4oXMSZ/T003qNoQQbCraxOdHPsfldaFRarg87XLOTzi/Z6rP26PqKOz5CMoOAuBVG1gTk8rXzjKEQkGsfyx3DLmjXeFfCMEHW47x/OqsVu0vrh4Vx3Mz++FavgTb9h0AGIYPI/Tmm1H69U7xptMoy4Qtr4G1Eo/Vg9WezrEsG8eOV1BlcSIUCg6FJLIjagBHguIaqs4VCpg1JJpfT+vH0PizJyxSuN04c3NxHJSq1N2FhY3rhMCmUFMekcDhoDi2aSLYZlJQ00pQ7akSqFc3Cy8dFCPZwWhUjd+3KouTdQfLqH3nLfxyMjkYmsTSjAvb3a9GpWByv3AuHRLDjEFRhPSCUNTs6mxe3f0qCoWCP4z/Q/dZQsn0GTw1NZT//UW8NTVo01KJfOABFNrO+98WQiDc7gbxu00R/ITgXb/MZ7chHM56Edx+yuL3SVEqUer1KAx6lHoDSoMehcEgLdPXLzMaMI4ZgzoiovPeV0ZGpk8gi+jdiCyiy3QFrvx8ahYvwZWfD4A6KoqQa+ejHzSoZxvWi7Fu3Ub1B++Dx4smIYHw3/wadUhITzdLRkZGpk+yu3w37+x/B4BbB996UnuQvkClvZKPsz4mpyYHgNTgVG4ceCORxsgeblk7CAEle2D3R2AqACBbp2ehUYVFa0Cr0nXI3iWzuI77P9nF0Qpri3Up4X68smAEybn7qFm6FDxeVGGhhN91F9rk5C44qB7G64Z9SxCZX+IotmE57qWkIpCjJjDZXJi1RnZF9mdnZH/qdI0DCRqVgqtHxvOraamkRpz9/vFekwlHVpYkqmdl4bNYmq1XRUTgTk3neHgi+zThHKh0kFlSx7Eq2xm/t1alJD3Kn4ExgRTX2tmSW0W4pZrf7PscgNeHzaHcL7TV101JD2fW0BhmDIzqFPuYzsLr8/LXbX+l1FrKtIRpXJNxTU83SeYsxV1cTPlLL+Gz2TGMGE7Y3XdLo3duNz6nE5/N3lDt3ZoI3iB0OxytiOAO8Ho7r7EKRRPB24BCr2sQvCXxW4/SYEBxQhjX6VEa68VxQ+O9QqORq8tlZGROG1lE70ZkEV2mqxBCYPv5Z2o/X4HPbAbAMGIEwdfMOyc87jqKEIK6VauoW70GAMOI4YTedhtKXc9NxZWRkZE5F1h5ZCXrj61Hq9Ly8JiHifOP6+kmdQlCCDYWbWTFkRW4vC60Ki1XpF3BtPhpZ89Fu88nWY7sWwr2akzCy3taN0eMQaAP7JC9i83l4bkvMlmyo6DFOo1KwROzBnJjgpLqt9/GU1EJahXBc+fif/75Z8/ndDJqjuH99p9Yd2djPmKm1uFHtj0Is9PH0aA4dkQN4FBIQjNbE6NWxQ3jE7njvFSig7rXX7u7OBFQ6qj3Unfm5jUX2tQqdGn90A8ciLdfBkdUgRwsriOzRLrllFo65FfeHvNzvmVQVT4Hw1JYlnFBw3KtWsm0jAhmD43hgoGRBOp7j3DelA2FG1h6aClGjZFnJz6LUWPs6SbJnMU4Dx+m4j//Qbg9KAx6hNsNni4Qv3X1InfTCvCGe2mdVA3eyjKDAYVW23d+H2RkZM5aZBG9G5FFdJmuxmezYVq9Gsv3P4DPh0KjIeDiiwmceXGnTs87GxEuF1WLFmHfuQuAgJkzCbrqSrkzJiMjI9MN+ISP1/e8TnZ1NuGGcB4d+yh+mr5l4VFhq+CjrI84UnsEgH7B/bhh4A1EGM/S6eAeJxxaC5kr8LpsrBV1rNMIRFAcsSH9TmrvAvDF3mJ+/9l+LE5Pi3UXDIjk77PT4dMl2PfsAcAwehShN9yA0nj2ioLC68X59TtYVi/BdtyC3Q1H3GEcI5g9EensiOxPtaG5NUuIUcNtk1O4eWISwcZzq7/2y4BSb2VVs/XKwAD0AwehHzQI/aCB+Ix+HK2wcLCoXlivF9hN9o7ZwURbq7hn3wqEQsHrw+ZgDgpjev9IZg2N4YIBkfjrerclotVt5bnNz2Hz2Jjffz5T46f2dJNk+gC2Xbupeved5uK5QtFY7X1C8P6lDcrJRHCjURa/ZWRk+hSyiN6NyCK6THfhLi6mZslSnIekEDNVWCjB8+ZhGDHinOzEeE0mKt/4r2R5o1YRev31+E2a1NPNkpGRkTmnsLqtvLDtBaod1QwKG8Q9w+/pfd7gp4EQgh8Lf+SLo180VJ9f1e8qpsRN6Ru/uY46OPgZHF5PttfCQm8VFmMQ2uBkrhtyK2Ojx7b78uNVNu5fvJu9BbUt1kUG6PjXtcMZenw/tZ9+Bl4v6ogIwu6+C21CQhcdUNfgtVix/bAOy+fv4iorx+H2Uu7Ws9k4kJ+ihpIZloxH2VygjQ3Sc9fUVK4dm4BR27vF2+6gIaD04EEcWZk4D+UgXK5m22iTEtEPGoRu4EB0qako1GqEEBSbHBwsMjUT1gtr7C3eY8GhbxhUexzX4OHE3H0X5/ePwK+XC+dNWXpoKRsKNxDrH8vjYx8/J8OaZboGr9mMz2JpsEZR6PV94zdMRkZGphORRfRuRBbRZboTIQT2XbuoXf4p3poaAHQDBxBy7bVoos+d8CFXYSGVr72Ot6YGpZ8fYb+6G31GRk83S0ZGRuacpMBcwD93/BO3z83M5JlcnnZ5TzfpjCi3lfNR1kccrT0KQEZIBtcPvJ5wQ3gPt6wLMJfBvsWY8jey0FfJYVzgF8mk9Cu5ZtCN7dq7uDw+/rH+EP/7MbfFOoUC7pvej1+nqql991281dUoNGqC51+L33mTe7WII4TAlZePdcMGbBvW4anIxeFyY/UKNoQPY3HEBZT5tbTV6xfpzz3T0rhyRGyz0EuZ5rQXUAqg0OvR98+or1If1CIE0GRzN9jAHCqtI6SmnIt/+Jgwfz1xzz6NJiamOw/njCmyFPG3rX9DILh/5P30D+3f002SkZGRkZE5p5BF9G5EFtFlegKf04n5q6+oW79emqKnUhFwwXQCL70UpcHQ083rUuz791P19jsIpxN1VBThv/kNmqheHOomIyMjcw6wvXQ7iw4uAuDOoXcyInJEzzboNPAJHz8U/MCXR7/E7XOjVWmZ028O58Wd16tF306h6ii+XR+wpmwL63wmhFJFbNggbp/8NNGB8e2+dENOBQ8t3UOlxdVi3ZikEP51RQa6FUtw7D8AgHHcOEJuuL7XZZf4nE5s27Zh2bAR97E83FX5OM1VWLUKjkbH8O+QuRSrWvY3hicE85vz05gxMAqlso//n3QB3tpaHNnZ9ZXq2S0CStUREegHD0I/eDC6jIwW/zcVr72GY/8BjOPGEXb7bd3Z9DNGCMEru18hpyaHEZEjuHPonT3dJBkZGRkZmXMOWUTvRmQRXaYncZeXU7t8OY59+wFQBQUSNGcOxvHj+9wFvxACy3ffUbv8UxACXf/+hN99F0q/vuW/KyMjI3O28mnOp3xf8D1alZbHxj5GtN/ZM0OqzFrGh1kfkmfKA6B/aH+uH3A9YYZzKMhbCCjeTfaON1hoysKCF61az3UDb2TsiNul8vI2qDA7eWjpHjYermyxLlCv5u9zhzKp+ACmlSvB50MdHUX43XejiY3tyiPqEK7CIqwbN2Ddug3hcGCrq8ZVnYc1SGCLMbDcMJW1YjyC5tXlU9LD+fX5aUxMDetzfa6eQgiB+9gxHFlZJw0o1Q8ehPB4KH/h76BQEP3sM2ii2vfz723srdjLW/veQq1U8+SEJ/vmbBcZGRkZGZlejiyidyOyiC7TG7AfOEjt0qV4yssB0KalEnLttWgTE3u4ZZ2D8HioWbIE68ZNAPiddx4hC65FoT57/C5lZGRk+joen4dXd7/KkdojRBojeXTsoxjUvXt2lE/4+P7496zKXYXb50an0nF1+tVMip107gqjPh+mnNUs2v06Oe5aACb6JTJ/4hNoYke28zLBmxtzeWndITy+lpcYN05I5LEBOizvvYvXZEKh0RBy/XX4TZzYVUfSJsLlwrZrN5aNG3Adlexoaq0Oqq1lqIKrcUZqKVZH8KZ3NgWiUZhVKODSITH8+vw0hsQFtbV7mU6iWUDpwYN4q6qbb6BUgs+Hcfx4wm67tUfaeLq4vW7+vPXPVNor+4QNloyMjIyMzNmKLKJ3I7KILtNbEG435m+/o27tWoTTCQoFfudNJujKq1D5n73V2j6rlcq33sKZfQgUCoLnXo3/hReeu+KGjIyMTC/G7DLzwrYXqHXWMjR8KHcPu7vXnq9LraV8mPkh+XX5AAwIHcD1A68nVB/asw3rJfjcdtb+/He+OrYeIbzEKjTcHj2N6DF3QkhSm6/bfbyG3y7eTUF1ywDI/lEB/OeKdEJXL8ORmQWA36RJBC+4FqVW22XHcgJ3eTnWjRuxbv4Zn9WKACptbvYqDQT7HyYg2A4KBet9Y/jMOwU30mC9RqVg7qh4fjUtjZTws7dPdTYjBZSWS17qTQNK1Sqin3r6rLP2W5e/ji+PfkmQLoinJz6NTtW77I1kZGRkZGTOFWQRvRuRRXSZ3oanpgbTZ59h274DAKXRSNCVV+A3ZQoK5dkVdOUuL6fytdfxlJWh0OkIu+N2DMOG9XSzZGRkZGTa4VjdMV7e+TIen4fZqbOZlTKrp5vUDK/Py7fHv2VN3ho8Pg96tZ6r069mYszEXiv49ySHSnawcOvfMZsL0QpYoAxjXNosGHYttBKwCVDncPP7z/azal9Ji3V6jZJnZg/k0sqD1K1eDUKgiYsj7O67usSOQ3i92Pftw7JhA86sbGmZEBSh4wt1PF5DKTMMu1Hgo0YE8K53FllCGiTw06q4fnwid5yXSnSQvtPbJnP6SAGleSj9jGjj2/ft722YnCae+/k5XF4XNw+6mXEx43q6STIyMjIyMucssojejcgiukxvxZGTQ+2SpbiLigDQJCQQcu18dP369XDLOoYjJ4eq/72Jz2pFFRJC+L2/OesukmRkZGTOVTYXb+bjrI9RoOCe4fcwOHxwTzcJgBJLCR9kfcDxuuMADA4bzIIBCwjRh/Rwy3o3JqeJRbtfI6dgE9hrmKjw4xp1BNoBl8Hgq0DbsjpbCMHSHQU888VBHG5fi/Wzh8bw3BAdzo8W4aszo9DpCL3xBoxjx3ZKmz01NVg3/YR10ya8JhMAPuBwUDwLvTEcVSm5U/MVSYpSALb4BvGR90Ls6An103LbpGRumphEsLHrK+Rlzi3eP/g+20q3kRKUwkOjH5IH72RkZGRkZHoQWUTvRmQRXaY3I7xeLBs3UvfFF/hs0rRq47hxBF89B1VwcM82rh2smzdT/fHH4PGiTUoi/Nf39Or2ysjIyMi0ZHH2YjYVbcKgNvDY2MeIMEb0WFu8Pi/rj69nbe5avMKLQW1gbsZcxkf3vSDursInfKzNW8tXhz5F1BUQ43JyhzKcaF0IDLka0i8GlabF646Um7nv491kl5pbrIsPMfCf2WnEf/0ZzpwcAPynTSV47lwUp2HvIoTAkZmJdcMG7Pv2S2GpgNfox86IDF41h5Hn03GBcjfXqH5Egwcbet73zGCHGEBcsIG7pqQwf2wCRq2cuyLT+eSZ8vjHjn8A8OjYR0kKbNsaSUZGRkZGRqbrkUX0bkQW0WXOBrxmM6aVX2D96ScQAoVOR+DsSwm44IJeFc4phMC0YiXmdesAMIweRdgtt5zWhbSMjIyMTM/i8Xn4z67/kGvKJdovmkfHPtojvr9FliI+zPyQAnMBAIPDB3Nd/+sI1gd3e1v6AoeqD7Hw4ELMdQVo60pY4DUwTukHfuEw/DpImiwlcDbB4fbylzVZvP/zsRb7UykVPHxRGtfVZWP56itAmj0XdtedaCI75nPtNZuxbv4Z66aNeCoqG5Z7klJYH5DKq2VG6tyCYMzcpv6KwYp8AA6KZN7zXEJEZAz3TEvjihGxaP6/vTuPq6rO/zj+PlwW2RFBFgW3VMzcUkSmsgVzqUwN08xSK+uXaWVZU02LLVNWjtPmlE6TYaM2mZNaaS65Zy64pqa4Ai6gorIjXLjn9wfjLVIUNw7g6/l43Edyz/d77uf4+D6+Hd987/fYqtfWd6g+TNPUuHXjlJydrJiwGN1/9f1WlwQAwBWPEL0SEaKjOilKTtaJr6araN8+SZJrSIgC+t0tz5bWf83eUVio458nqGDTJkmS32095NezJysEAaAayyrM0jtr31F2Ubba1W2nB695sNLm9WJHsRamLNS8ffNUYpbIy9VLfZv1VXRoNP9vuUhZhVmavG2ydh5PkvKPKTY/X3eXeMjdcJFqN5La3SeFXnNav/nb0vXnGb8oq8B+2rHrrwrSu63dZH41TY68PBmetRR4/yB5XdvujDWYpqmiPXuUu2y58jdukIpLJEkuXp46eU07fWnU1xd7TqqouHQrmWhjh+53XSgvnZRdrppecpNOhN+kx26+Sl1ahMjFhTGBy2tN2hr9+9d/y93mrtGxo+Xv4W91SQAAXPEI0SsRITqqG9M0lb96tTJnzpQju/Sr1Z5tWivg7rvlGhRkSU3FJ04o45NPZE/dL7naFHjf/fLuFGNJLQCAS2tv5l69v+F9OUyHel/VW10adLnsn7k/Z7+mbp+qAzkHJEmtglrpnqh7CK0uIYfp0Lx98/TDvh9kmiWl27tk5yvU8b/9z8PaSm3vlWqX3a7iUGaBRv5nk9YmHz/tnHW83fX37g0UtXS2ivbslST53HKzAu66y/nNOUd+vvLWrlXe8hWyHzrk7OveoIGOtWyvf2b56dtfM+T4379yvHRSA20/KsZluyQp2QzVlsj7dU9cJ3VqHMgvVFApThaf1Bur31BWYZbubHKnujbsanVJAABAhOiVihAd1ZUjP19Zc+Yod8lSyeGQ4eYq365d5dutm1wqcfuUotRUZfzjY5VkZcnFx0dBwx6VR5Mmlfb5AIDLb/mB5ZqeNF2GDA1vN1xRgVGX5XOKHcWanzxf85Pny2E65OXmpX7N+ql9SHvC0svEub1LUY7cZai/LUgxaUmSWSLJkBp1llr3l7zrOPsUlzj04eLdGr94lzPs/r1H/hSpRwp3qmDRj5Ik94YN5dfzDhVs3KT8xESZhYWSJMPdXZ7RHbSnUWt9vKtQS5OOljlPCyNFD9p+UG0jR6ZcdLBeN3W4faiuiahz2mcCl9O3e77VguQFCvIM0oudXpSby+nPDwAAAJWPEL0SEaKjurOnpenEV1+pcEeSJMkWGKiAvn3l2a7tZQ8cCjZt0rFJn8ssKpJrWKiCH3tMrsHWPXgOAHB5mKapqdunanXaanm5eem56OdUx/PSBpn7c/br37/+W4dyS1cnt63bVv2a95OfO/dnl5tze5cTpQ8HjQ1sqbtz8+S+P7G0gc1Nan6bdHUvyd3b2W/13mMa+Z9NSs8+edo5W9f31/ut3OQx+yvnw9FPcQ0LlfcNnZUY0Egfrzmk9Sknyhx3U7Husq3QrS7r5GIY8g6qr3o9nlH9pm0u8ZUD55ZRkKE3Vr2hErNEj7R+RK2DW1tdEgAA+B9C9EpEiI6awDRNFWzcpMwZM1RyvPTr1R5RzVW7f3+5hYVdls/Lmb9AWbNnS6apWle3UJ2hQ+Xi5XXJPwsAUDXYS+x6b8N7Ss1OVX3f+nq6/dNyt138N5/sDrvm7ZunBSkLZJqmvN281b95f7Wr247V55XIYTo0P3m+5u6dK1OmQr1DNbRenEKT5ktHSrdSkbuPdM1dUtOupcG6pON5RfrzjM36cfuR087p4+Gqt2+pp+jVc1W0P1Ve7drJ4/obtDDPUxOW7VPS4ZzT+kQYh/WIbY4ibMdVr7anQtrfKb9OQyS3Wpfz8oFyffrLp9p8dLOaBzbXiLYjmJcAAKhCCNErESE6ahJHUZFy5s9XzoIFMu3Fks0m35tvkt/tt8vF0/OSfIZZXKwT06Yp7+dVkiSfGzsroF8/GTbbJTk/AKDqOnHyhN5JfEe5RbmKDo3WoKsHXVSglJKdoim/TlFaXpokqV3ddurXvJ983X0vVck4T0nHkzR522RlF2XL3eau/s36KcbhJm2aKmUfLG3kHSy1GSA1+JNkGDJNU5N/TtZbc3eoqMRx2jn7XltPz996lebuyNA/l+/VgRMFp7Ux5NBtLmvV132VGgbWUr2wMLlf95gUfuYHkwKVIel4kj7a+JEMw9BfOv5FYT6XfnEKAAC4cITolYgQHTVR8dGjypwxQwWbf5Ekufj5KqBPH3l16nRRYUdJbp6OTZyowl27JMNQwN13y/eWmy9V2QCAamDniZ36aONHMk1TfZv11U0RN533OewOu37Y94MWpiyUaZrycfdxrj6H9bKLspWwNcG5vUunsE7q1zRe7ik/S1u+lgr+t/1KYGOp7UAp9BpJ0rZDWXr8y43aezTvtHMahlTev1yCdUIjvReqc+3jCg/wlK1BjBT9sFSLe3NYp8RRorfXvq20vDTdGHGj7m52t9UlAQCAPyBEr0SE6KjJCrZuU+bXX6v48GFJknvjxqrdv5/cGzQ473PZDx9Wxvh/qPjoURm1aqnO0KHyvKblpS4ZAFANLE5drG92fSPDMPREuyfUtHbTCvdNzkrWlO1TlJ6XLklqH9Jedze7Wz7uPperXFyAM27v0mqoQt0DpKQ50q+zpeLSB4QqvF3pyvTaDZRXWKzR327TjPUHKvAppu4J3K0R/isV7mPIxd1L6vCg1PCG0tQdsNCpByp7uXlpdOxoebt5n7sTAACoVITolYgQHTWdWVysnMWLlT1nrszCQskw5H39dfLv1Us2n4oFFid37NCxf/5TjvwC2eoEKvixx+RWr95lrhwAUFWZpqnJ2yZr3eF18nH30XPRz6l2rdpn7WMvsWvOvjlalLJIpkz5uvuqf/P+alu3beUUjQvyx+1d+jXvp05hnaSTWdKWGdLuRZJZIsmQGt8oteonedfR7E0H9eLMrcotLD7jea+r76rXQlaqSdGO0m/J1W0hdRou+fCAclgvz56n135+TfnF+erXvJ861+9sdUkAAOAMCNErESE6rhQlmZnK/Gam8teulSS5eHnJ786e8rnhhrPuZ5674ied+M9/pJISuTdurKBhj8rmy161AHClKyop0rh143Qw96Aa+DXQyPYj5ebidsa2e7P2auqvU3U4v/SbUdGh0erbrC8rO6uJ7KJsTd42WUnHkyRJMWEx6te8nzxsHlJ2mrT5S2n/mtLGNjep+e3S1XcqJUd6/MuN+uVAlvNcnZsF688tc9TywH9kFGZLLq5Sm3ukqDtYfY4qY3rSdC0/sFzhPuF6Lvo52Vx49g8AAFURIXolIkTHlaZw926d+M9Xsh8o/Zq1W/36qt2/nzyalv0qvulwKOubb5Tz4yJJkld0tALvv0+Gu3ul1wwAqJoyCjL07tp3lV+cr9jwWN0bdW+ZZ2/YS+z6fu/3Wpy6WKZM+bn76Z6oe9Q6uLWFVeNClLu9i3doaYOMXdLGf0tHS4N2uftIrfqqqFGcvt96RIcyC3RzEz+1TJsp7V1S2iYgUoodIdU+/23mgMvlUO4hjVk7RqZp6vF2j6t5YHOrSwIAAOUgRK9EhOi4EpkOh/JWrFDW7G/lyM+XVBqS+9/VR661a8tRWKhjn32mk79skST59bxDfrfddlEPJQUA1Ey/HvtVn2z6RKZM3RN1j66vd70kaW/mXk3ZPkVH8o9IkjqGdlR8s3hWn1dzO0/sVMLWhNO3d5FKnxx6cL20aaqUfaj0PZ+6pfule9aWVv1DyjsqyZBa9JRa9ytduQ5UEaZp6qONH2nniZ1qW7ethrYaanVJAADgLAjRKxEhOq5kJbm5ypo9W3k/rZRMU4aHh3y73qqCjZtkP3BAhpurAgcNkld0tNWlAgCqsAXJC/Ttnm9lM2x6rO1j2pqxVUv3L5UpU/4e/hoQNUDXBF1jdZm4RM66vYskOUqkPUukLV9LJzPLdvYOKt37POTqyi0aqIDNRzfr018+lauLq17q9JKCPIOsLgkAAJxFRXNdl0qs6aIcP35cAwcOlJ+fnwICAvTQQw8pNzf3rH1Onjyp4cOHq06dOvLx8VF8fLwOHz7sPL5582YNGDBAERER8vT0VIsWLfTBBx9c7ksBahSbj48CBw5UyAvPy71xY5mFhcr+7nvZDxyQi6+vgp96mgAdAHBOtza4VW3rtlWJWaKPNn6kJfuXyJSpTmGd9GLMiwToNYyfu5+Gtx2uOxrfIUOG1qSt0djEsUrLTStt4GKTmnaRen4gtbpbcv1fuN74JqnHWAJ0VEn2Ertm7popSYqLjCNABwCgBqk2K9F79OihtLQ0TZw4UXa7XQ888ICio6M1bdq0cvsMGzZMc+bMUUJCgvz9/TVixAi5uLho5cqVkqRJkyZp8+bNuuuuuxQREaGff/5ZjzzyiN59912NGDGiwrWxEh0oZZqm8tesUdas2bL5+6nOI4/ItU4dq8sCAFQTJ4tP6m/r/qb0vHQFeARoQIsBalmnpdVl4TLbdWKXErYlKKswS24ubuof1f+37V1OOZktFZxg73NUaae+UePv4a9XYl/57ZsVAACgyqpR27ls375dV199tRITE9WhQwdJ0rx583TbbbfpwIEDCg8PP61PVlaWgoODNW3aNPXt21eStGPHDrVo0UKrVq1Sp06dTusjScOHD9f27du1ePHiCtdHiA6UdWpaYf9zAMD5yinK0daMrWoT3EZebl5Wl4NKklOUo4RtCc7tXTqGdlT/qP6EkKg2sgqz9Nqq11RUUqRBVw9Sx7COVpcEAAAqoEZt57Jq1SoFBAQ4A3RJ6tKli1xcXLRmzZoz9lm/fr3sdru6dOnifC8qKkqRkZFatWpVuZ+VlZWlwMDAs9ZTWFio7OzsMi8AvzEMgwAdAHBBfN19FRseS4B+hfF199WItiN0R5PS7V3Wpq/V2MSxOpR7yOrSgAqZvXu2ikqK1NCvoaJD2coQAICaplqE6Onp6apbt26Z91xdXRUYGKj09PRy+7i7uysgIKDM+yEhIeX2+fnnn/XVV1/pkUceOWs9Y8aMkb+/v/MVERFR8YsBAAAAcBrDMNS9YXc9ce0T8vfwV3peusYmjtWqQ6tUDb48iyvYvqx9Wpu+VpLUt1lfFpMAAFADWRqiP//8884Vq+W9duzYUSm1bN26Vb169dLo0aPVtWvXs7Z94YUXlJWV5Xzt37+/UmoEAAAAarqmtZvq+Y7PKyowSnaHXVO3T9UXv36hwpJCq0sDTmOapv6787+SpJiwGDX0b2htQQAA4LJwtfLDR40apSFDhpy1TePGjRUaGqojR46Ueb+4uFjHjx9XaGjoGfuFhoaqqKhImZmZZVajHz58+LQ+v/76q+Li4vTII4/opZdeOmfdHh4e8vBgf0YAAADgcvB199XwtsM1P2W+5uyZo8T0RKVmp+r+q+8npESVkpieqOTsZLnb3HVnkzutLgcAAFwmlobowcHBCg4OPme72NhYZWZmav369Wrfvr0kafHixXI4HIqJiTljn/bt28vNzU2LFi1SfHy8JCkpKUmpqamKjY11ttu2bZtuueUWDR48WG+++eYluCoAAAAAF+vU9i5N/JsoYVuCDucf1rh143RL5C26o/EdcrO5WV0irnCFJYWavWe2JKl7w+7y9/C3uCIAAHC5GGY12WCwR48eOnz4sCZMmCC73a4HHnhAHTp00LRp0yRJBw8eVFxcnL744gt17Fj6JPRhw4Zp7ty5SkhIkJ+fnx5//HFJpXufS6VbuNxyyy3q1q2bxo4d6/wsm81WoXD/lIo+xRUAAADA+cstytV/d/1XiemJkqRgr2ANjBqoq2pfZXFluJJ9t+c7zU+eryDPIL3Y6UW5ufCLHQAAqpuK5rrV4sGikjR16lRFRUUpLi5Ot912m66//nr985//dB632+1KSkpSfn6+87333ntPd9xxh+Lj49W5c2eFhobqm2++cR6fMWOGjh49qilTpigsLMz5io7maeoAAABAVeHj7qPBLQfr/1r/n/w9/HU0/6je3/C+pidNZ690WCKjIEOLUhdJku5qehcBOgAANVy1WYlelbESHQAAAKgc+fZ8zdw9U6sOrZIkBdYK1L0t7lVUYJTFleFK8ukvn2rz0c1qHthcI9qOkGEYVpcEAAAuQI1biQ4AAAAAXm5eGthioEa0G6HAWoE6fvK4xm8cr6nbpyrfnn/uEwAXKel4kjYf3SzDMNS3aV8CdAAArgCE6AAAAACqnajAKP0l5i/qXL+zJGnVoVV6c82b2pqx1eLKUJOVOEo0Y+cMSVLn+p0V5hNmcUUAAKAyEKIDAAAAqJZqudZSv+b99OS1TyrIM0hZhVmasHmCJm+brDx7ntXloQZaeWil0vLS5OXmpdsa3WZ1OQAAoJIQogMAAACo1prWbqq/xPxFcZFxMmQoMT1Rb6x+QxuPbLS6NNQgefY8fb/3e0nSHY3vkLebt8UVAQCAykKIDgAAAKDac7e5q0/TPnq6w9MK9Q5VblG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      "text/plain": [
       "<Figure size 1500x1500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Motif DataFrame with profits:\n",
      "     motif_id  match_id  distance  start_idx  end_idx  profit_long  \\\n",
      "0          0         0  0.000000        370      390     0.206577   \n",
      "1          0         1  1.250590       1653     1673    -0.967765   \n",
      "2          0         2  1.982121       1540     1560    -1.380473   \n",
      "3          0         3  2.503828        266      286    -1.502156   \n",
      "4          1         0  0.000000        760      780     0.654485   \n",
      "5          1         1  1.261131       1150     1170    -0.805488   \n",
      "6          1         2  3.515795       1275     1295    -0.167817   \n",
      "7          1         3  3.590752       1920     1940          NaN   \n",
      "8          2         0  0.000000       1487     1507    -1.861615   \n",
      "9          2         1  2.309025       1740     1760     0.009996   \n",
      "10         2         2  3.323742       1585     1605    -0.992155   \n",
      "11         2         3  3.456676         42       62    -3.815360   \n",
      "\n",
      "    profit_short  \n",
      "0       2.206577  \n",
      "1       1.032235  \n",
      "2       0.619527  \n",
      "3       0.497844  \n",
      "4       2.654485  \n",
      "5       1.194512  \n",
      "6       1.832183  \n",
      "7            NaN  \n",
      "8       0.138385  \n",
      "9       2.009996  \n",
      "10      1.007845  \n",
      "11     -1.815360  \n",
      "\n",
      "Average profit long per motif category:\n",
      "    motif_id  profit_long\n",
      "0         0    -0.910954\n",
      "1         1    -0.106273\n",
      "2         2    -1.664783\n",
      "\n",
      "The most profitable long motif avg category is: 1.0\n",
      "\\Sum profit long per motif category:\n",
      "    motif_id  profit_long\n",
      "0         0    -3.643816\n",
      "1         1    -0.318820\n",
      "2         2    -6.659133\n",
      "\n",
      "The most profitable long motif sum category is: 1.0\n",
      "\n",
      "Average profit short per motif category:\n",
      "    motif_id  profit_short\n",
      "0         0      1.089046\n",
      "1         1      1.893727\n",
      "2         2      0.335217\n",
      "\n",
      "The most profitable short motif avg category is: 1.0\n",
      "\\Sum profit short per motif category:\n",
      "    motif_id  profit_short\n",
      "0         0      4.356184\n",
      "1         1      5.681180\n",
      "2         2      1.340867\n",
      "\n",
      "The most profitable short motif sum category is: 1.0\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import stumpy\n",
    "\n",
    "\n",
    "# Convert the 'close' column to a 1D NumPy array\n",
    "T = timeseries_sr.values\n",
    "\n",
    "# Parameters\n",
    "N = 20  # Window length (motif length)\n",
    "max_motifs = 3  # Number of main motifs to discover\n",
    "motifs_per_category = 4  # Number of similar motifs to extract per main motif\n",
    "future_horizon = 10  # Number of bars to measure future returns\n",
    "\n",
    "# Step 1: Calculate the Matrix Profile\n",
    "matrix_profile = stumpy.stump(timeseries_sr, m=N)\n",
    "\n",
    "# Step 2: Discover the motifs return distances and indices in the shape of (max_motifs, motifs_per_category)\n",
    "motif_distances, motif_indices = stumpy.motifs(timeseries_sr, matrix_profile[:, 0], max_motifs=max_motifs, max_matches=motifs_per_category)\n",
    "\n",
    "# Create a DataFrame to store the motifs information\n",
    "motif_results = []\n",
    "\n",
    "# Since motif_indices is an array of shape (3, 4), iterate accordingly\n",
    "for motif_id in range(motif_indices.shape[0]):  # Iterate over each row, i.e., each motif\n",
    "    for match_id in range(motif_indices.shape[1]):  # Iterate over each column, i.e., each match\n",
    "        start_idx = motif_indices[motif_id, match_id]\n",
    "        distance = motif_distances[motif_id, match_id]\n",
    "\n",
    "        # Check if the entry is valid (not NaN)\n",
    "        if np.isnan(start_idx):\n",
    "            continue\n",
    "        \n",
    "        # Convert to integer for indexing\n",
    "        start_idx = int(start_idx)\n",
    "        end_idx = start_idx + N\n",
    "        \n",
    "        # Check if there's enough data beyond the end index to calculate future returns\n",
    "        if end_idx + future_horizon < len(timeseries_sr):\n",
    "            # Calculate the profit/loss over the next 10 bars from the end of the motif\n",
    "            future_return_long = (timeseries_sr.iloc[end_idx + future_horizon] - timeseries_sr.iloc[end_idx]) / timeseries_sr.iloc[end_idx]\n",
    "            future_return_short = (timeseries_sr.iloc[end_idx + future_horizon] + timeseries_sr.iloc[end_idx]) / timeseries_sr.iloc[end_idx]\n",
    "        else:\n",
    "            future_return_long = np.nan  # Not enough future data available\n",
    "            future_return_short = np.nan\n",
    "        \n",
    "        # Append the motif result\n",
    "        motif_results.append({\n",
    "            'motif_id': motif_id,          # Identifies the motif category within the set\n",
    "            'match_id': match_id,         # Rank/order of the match within the motif category\n",
    "            'distance': distance,\n",
    "            'start_idx': start_idx,\n",
    "            'end_idx': end_idx,\n",
    "            'profit_long': future_return_long,\n",
    "            'profit_short': future_return_short\n",
    "        })\n",
    "\n",
    "# Convert the results into a DataFrame\n",
    "motif_df = pd.DataFrame(motif_results)\n",
    "\n",
    "# Step 3: Calculate the average profit for each motif category\n",
    "motif_profits_long = motif_df.groupby('motif_id')['profit_long'].mean().reset_index()\n",
    "most_profitable_motif_id_long = motif_profits_long.sort_values(by='profit_long', ascending=False).iloc[0]['motif_id']\n",
    "\n",
    "motif_profits_sum_long = motif_df.groupby('motif_id')['profit_long'].sum().reset_index()\n",
    "most_profitable_motif_sum_id_long = motif_profits_sum_long.sort_values(by='profit_long', ascending=False).iloc[0]['motif_id']\n",
    "\n",
    "motif_profits_short = motif_df.groupby('motif_id')['profit_short'].mean().reset_index()\n",
    "most_profitable_motif_id_short = motif_profits_short.sort_values(by='profit_short', ascending=False).iloc[0]['motif_id']\n",
    "\n",
    "motif_profits_sum_short = motif_df.groupby('motif_id')['profit_short'].sum().reset_index()\n",
    "most_profitable_motif_sum_id_short = motif_profits_sum_short.sort_values(by='profit_short', ascending=False).iloc[0]['motif_id']\n",
    "\n",
    "visualize_motifs(time_series=timeseries_sr, motif_distances=motif_distances, motif_indices=motif_indices, subsequence_length=m)\n",
    "\n",
    "# Display results\n",
    "print(\"Motif DataFrame with profits:\\n\", motif_df)\n",
    "print(\"\\nAverage profit long per motif category:\\n\", motif_profits_long)\n",
    "print(f\"\\nThe most profitable long motif avg category is: {most_profitable_motif_id_long}\")\n",
    "print(\"\\Sum profit long per motif category:\\n\", motif_profits_sum_long)\n",
    "print(f\"\\nThe most profitable long motif sum category is: {most_profitable_motif_sum_id_long}\")\n",
    "\n",
    "print(\"\\nAverage profit short per motif category:\\n\", motif_profits_short)\n",
    "print(f\"\\nThe most profitable short motif avg category is: {most_profitable_motif_id_short}\")\n",
    "print(\"\\Sum profit short per motif category:\\n\", motif_profits_sum_short)\n",
    "print(f\"\\nThe most profitable short motif sum category is: {most_profitable_motif_sum_id_short}\")"
   ]
  }
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