diff --git a/1188.95b9edeb.async.js b/1188.95b9edeb.async.js
new file mode 100644
index 0000000000..667b4d0586
--- /dev/null
+++ b/1188.95b9edeb.async.js
@@ -0,0 +1,10 @@
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i=0;i<T.columns;i++)T.set(c,i,T.get(c,i)-u[i])}function ue(T,u){for(let c=0;c<T.rows;c++)for(let i=0;i<T.columns;i++)T.set(c,i,T.get(c,i)-u)}function he(T){const u=[];for(let c=0;c<T.rows;c++){let i=0;for(let l=0;l<T.columns;l++)i+=b(T.get(c,l),2)/(T.columns-1);u.push(Math.sqrt(i))}return u}function Ie(T,u){for(let c=0;c<T.rows;c++)for(let i=0;i<T.columns;i++)T.set(c,i,T.get(c,i)/u[c])}function pn(T){const u=[];for(let c=0;c<T.columns;c++){let i=0;for(let l=0;l<T.rows;l++)i+=b(T.get(l,c),2)/(T.rows-1);u.push(Math.sqrt(i))}return u}function De(T,u){for(let c=0;c<T.rows;c++)for(let i=0;i<T.columns;i++)T.set(c,i,T.get(c,i)/u[i])}function Me(T){const u=T.size-1;let c=0;for(let i=0;i<T.columns;i++)for(let l=0;l<T.rows;l++)c+=b(T.get(l,i),2)/u;return Math.sqrt(c)}function se(T,u){for(let c=0;c<T.rows;c++)for(let i=0;i<T.columns;i++)T.set(c,i,T.get(c,i)/u)}class Wt{static from1DArray(u,c,i){if(u*c!==i.length)throw new RangeError("data length does not match given dimensions");let m=new It(u,c);for(let B=0;B<u;B++)for(let U=0;U<c;U++)m.set(B,U,i[B*c+U]);return m}static rowVector(u){let c=new It(1,u.length);for(let i=0;i<u.length;i++)c.set(0,i,u[i]);return c}static columnVector(u){let c=new It(u.length,1);for(let i=0;i<u.length;i++)c.set(i,0,u[i]);return c}static zeros(u,c){return new It(u,c)}static ones(u,c){return new It(u,c).fill(1)}static rand(u,c,i={}){if(typeof i!="object")throw new TypeError("options must be an object");const{random:l=Math.random}=i;let m=new It(u,c);for(let B=0;B<u;B++)for(let U=0;U<c;U++)m.set(B,U,l());return m}static randInt(u,c,i={}){if(typeof i!="object")throw new TypeError("options must be an object");const{min:l=0,max:m=1e3,random:B=Math.random}=i;if(!Number.isInteger(l))throw new TypeError("min must be an integer");if(!Number.isInteger(m))throw new TypeError("max must be an integer");if(l>=m)throw new RangeError("min must be smaller than max");let U=m-l,V=new It(u,c);for(let G=0;G<u;G++)for(let rt=0;rt<c;rt++){let K=l+Math.round(B()*U);V.set(G,rt,K)}return V}static eye(u,c,i){c===void 0&&(c=u),i===void 0&&(i=1);let l=Math.min(u,c),m=this.zeros(u,c);for(let B=0;B<l;B++)m.set(B,B,i);return m}static diag(u,c,i){let l=u.length;c===void 0&&(c=l),i===void 0&&(i=c);let m=Math.min(l,c,i),B=this.zeros(c,i);for(let U=0;U<m;U++)B.set(U,U,u[U]);return B}static min(u,c){u=this.checkMatrix(u),c=this.checkMatrix(c);let i=u.rows,l=u.columns,m=new It(i,l);for(let B=0;B<i;B++)for(let U=0;U<l;U++)m.set(B,U,Math.min(u.get(B,U),c.get(B,U)));return m}static max(u,c){u=this.checkMatrix(u),c=this.checkMatrix(c);let i=u.rows,l=u.columns,m=new this(i,l);for(let B=0;B<i;B++)for(let U=0;U<l;U++)m.set(B,U,Math.max(u.get(B,U),c.get(B,U)));return m}static checkMatrix(u){return Wt.isMatrix(u)?u:new It(u)}static isMatrix(u){return u!=null&&u.klass==="Matrix"}get size(){return this.rows*this.columns}apply(u){if(typeof u!="function")throw new TypeError("callback must be a function");for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)u.call(this,c,i);return this}to1DArray(){let u=[];for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)u.push(this.get(c,i));return u}to2DArray(){let u=[];for(let c=0;c<this.rows;c++){u.push([]);for(let i=0;i<this.columns;i++)u[c].push(this.get(c,i))}return u}toJSON(){return this.to2DArray()}isRowVector(){return this.rows===1}isColumnVector(){return this.columns===1}isVector(){return this.rows===1||this.columns===1}isSquare(){return this.rows===this.columns}isEmpty(){return this.rows===0||this.columns===0}isSymmetric(){if(this.isSquare()){for(let u=0;u<this.rows;u++)for(let c=0;c<=u;c++)if(this.get(u,c)!==this.get(c,u))return!1;return!0}return!1}isDistance(){if(!this.isSymmetric())return!1;for(let u=0;u<this.rows;u++)if(this.get(u,u)!==0)return!1;return!0}isEchelonForm(){let u=0,c=0,i=-1,l=!0,m=!1;for(;u<this.rows&&l;){for(c=0,m=!1;c<this.columns&&m===!1;)this.get(u,c)===0?c++:this.get(u,c)===1&&c>i?(m=!0,i=c):(l=!1,m=!0);u++}return l}isReducedEchelonForm(){let u=0,c=0,i=-1,l=!0,m=!1;for(;u<this.rows&&l;){for(c=0,m=!1;c<this.columns&&m===!1;)this.get(u,c)===0?c++:this.get(u,c)===1&&c>i?(m=!0,i=c):(l=!1,m=!0);for(let B=c+1;B<this.rows;B++)this.get(u,B)!==0&&(l=!1);u++}return l}echelonForm(){let u=this.clone(),c=0,i=0;for(;c<u.rows&&i<u.columns;){let l=c;for(let m=c;m<u.rows;m++)u.get(m,i)>u.get(l,i)&&(l=m);if(u.get(l,i)===0)i++;else{u.swapRows(c,l);let m=u.get(c,i);for(let B=i;B<u.columns;B++)u.set(c,B,u.get(c,B)/m);for(let B=c+1;B<u.rows;B++){let U=u.get(B,i)/u.get(c,i);u.set(B,i,0);for(let V=i+1;V<u.columns;V++)u.set(B,V,u.get(B,V)-u.get(c,V)*U)}c++,i++}}return u}reducedEchelonForm(){let u=this.echelonForm(),c=u.columns,i=u.rows,l=i-1;for(;l>=0;)if(u.maxRow(l)===0)l--;else{let m=0,B=!1;for(;m<i&&B===!1;)u.get(l,m)===1?B=!0:m++;for(let U=0;U<l;U++){let V=u.get(U,m);for(let G=m;G<c;G++){let rt=u.get(U,G)-V*u.get(l,G);u.set(U,G,rt)}}l--}return u}set(){throw new Error("set method is unimplemented")}get(){throw new 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c=[];for(let i=0;i<this.rows;i++)c.push(this.get(i,u));return c}getColumnVector(u){return It.columnVector(this.getColumn(u))}setColumn(u,c){yt(this,u),c=Ot(this,c);for(let i=0;i<this.rows;i++)this.set(i,u,c[i]);return this}swapColumns(u,c){yt(this,u),yt(this,c);for(let i=0;i<this.rows;i++){let l=this.get(i,u);this.set(i,u,this.get(i,c)),this.set(i,c,l)}return this}addRowVector(u){u=Nt(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)+u[i]);return this}subRowVector(u){u=Nt(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)-u[i]);return this}mulRowVector(u){u=Nt(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)*u[i]);return this}divRowVector(u){u=Nt(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)/u[i]);return this}addColumnVector(u){u=Ot(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)+u[c]);return this}subColumnVector(u){u=Ot(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)-u[c]);return this}mulColumnVector(u){u=Ot(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)*u[c]);return this}divColumnVector(u){u=Ot(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)/u[c]);return this}mulRow(u,c){xt(this,u);for(let i=0;i<this.columns;i++)this.set(u,i,this.get(u,i)*c);return this}mulColumn(u,c){yt(this,u);for(let i=0;i<this.rows;i++)this.set(i,u,this.get(i,u)*c);return this}max(u){if(this.isEmpty())return NaN;switch(u){case"row":{const c=new Array(this.rows).fill(Number.NEGATIVE_INFINITY);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)>c[i]&&(c[i]=this.get(i,l));return c}case"column":{const c=new Array(this.columns).fill(Number.NEGATIVE_INFINITY);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)>c[l]&&(c[l]=this.get(i,l));return c}case void 0:{let c=this.get(0,0);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)>c&&(c=this.get(i,l));return c}default:throw new Error(`invalid option: ${u}`)}}maxIndex(){Ye(this);let u=this.get(0,0),c=[0,0];for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)>u&&(u=this.get(i,l),c[0]=i,c[1]=l);return c}min(u){if(this.isEmpty())return NaN;switch(u){case"row":{const c=new Array(this.rows).fill(Number.POSITIVE_INFINITY);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)<c[i]&&(c[i]=this.get(i,l));return c}case"column":{const c=new Array(this.columns).fill(Number.POSITIVE_INFINITY);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)<c[l]&&(c[l]=this.get(i,l));return c}case void 0:{let c=this.get(0,0);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)<c&&(c=this.get(i,l));return c}default:throw new Error(`invalid option: ${u}`)}}minIndex(){Ye(this);let u=this.get(0,0),c=[0,0];for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)<u&&(u=this.get(i,l),c[0]=i,c[1]=l);return c}maxRow(u){if(xt(this,u),this.isEmpty())return NaN;let c=this.get(u,0);for(let i=1;i<this.columns;i++)this.get(u,i)>c&&(c=this.get(u,i));return c}maxRowIndex(u){xt(this,u),Ye(this);let c=this.get(u,0),i=[u,0];for(let l=1;l<this.columns;l++)this.get(u,l)>c&&(c=this.get(u,l),i[1]=l);return i}minRow(u){if(xt(this,u),this.isEmpty())return NaN;let c=this.get(u,0);for(let i=1;i<this.columns;i++)this.get(u,i)<c&&(c=this.get(u,i));return c}minRowIndex(u){xt(this,u),Ye(this);let c=this.get(u,0),i=[u,0];for(let l=1;l<this.columns;l++)this.get(u,l)<c&&(c=this.get(u,l),i[1]=l);return i}maxColumn(u){if(yt(this,u),this.isEmpty())return NaN;let c=this.get(0,u);for(let i=1;i<this.rows;i++)this.get(i,u)>c&&(c=this.get(i,u));return c}maxColumnIndex(u){yt(this,u),Ye(this);let c=this.get(0,u),i=[0,u];for(let l=1;l<this.rows;l++)this.get(l,u)>c&&(c=this.get(l,u),i[0]=l);return i}minColumn(u){if(yt(this,u),this.isEmpty())return NaN;let c=this.get(0,u);for(let i=1;i<this.rows;i++)this.get(i,u)<c&&(c=this.get(i,u));return c}minColumnIndex(u){yt(this,u),Ye(this);let c=this.get(0,u),i=[0,u];for(let l=1;l<this.rows;l++)this.get(l,u)<c&&(c=this.get(l,u),i[0]=l);return i}diag(){let u=Math.min(this.rows,this.columns),c=[];for(let i=0;i<u;i++)c.push(this.get(i,i));return c}norm(u="frobenius"){switch(u){case"max":return this.max();case"frobenius":return Math.sqrt(this.dot(this));default:throw new RangeError(`unknown norm type: ${u}`)}}cumulativeSum(){let u=0;for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)u+=this.get(c,i),this.set(c,i,u);return this}dot(u){Wt.isMatrix(u)&&(u=u.to1DArray());let c=this.to1DArray();if(c.length!==u.length)throw new RangeError("vectors do not have the same size");let i=0;for(let l=0;l<c.length;l++)i+=c[l]*u[l];return i}mmul(u){u=It.checkMatrix(u);let c=this.rows,i=this.columns,l=u.columns,m=new It(c,l),B=new Float64Array(i);for(let U=0;U<l;U++){for(let V=0;V<i;V++)B[V]=u.get(V,U);for(let V=0;V<c;V++){let G=0;for(let rt=0;rt<i;rt++)G+=this.get(V,rt)*B[rt];m.set(V,U,G)}}return m}mpow(u){if(!this.isSquare())throw new RangeError("Matrix must be square");if(!Number.isInteger(u)||u<0)throw new RangeError("Exponent must be a non-negative integer");let c=It.eye(this.rows),i=this;for(let l=u;l>=1;l/=2)l&1&&(c=c.mmul(i)),i=i.mmul(i);return c}strassen2x2(u){u=It.checkMatrix(u);let c=new It(2,2);const i=this.get(0,0),l=u.get(0,0),m=this.get(0,1),B=u.get(0,1),U=this.get(1,0),V=u.get(1,0),G=this.get(1,1),rt=u.get(1,1),K=(i+G)*(l+rt),lt=(U+G)*l,Tt=i*(B-rt),ct=G*(V-l),pt=(i+m)*rt,Rt=(U-i)*(l+B),Z=(m-G)*(V+rt),St=K+ct-pt+Z,Ct=Tt+pt,Xt=lt+ct,Zt=K-lt+Tt+Rt;return c.set(0,0,St),c.set(0,1,Ct),c.set(1,0,Xt),c.set(1,1,Zt),c}strassen3x3(u){u=It.checkMatrix(u);let c=new It(3,3);const i=this.get(0,0),l=this.get(0,1),m=this.get(0,2),B=this.get(1,0),U=this.get(1,1),V=this.get(1,2),G=this.get(2,0),rt=this.get(2,1),K=this.get(2,2),lt=u.get(0,0),Tt=u.get(0,1),ct=u.get(0,2),pt=u.get(1,0),Rt=u.get(1,1),Z=u.get(1,2),St=u.get(2,0),Ct=u.get(2,1),Xt=u.get(2,2),Zt=(i+l+m-B-U-rt-K)*Rt,ge=(i-B)*(-Tt+Rt),Ut=U*(-lt+Tt+pt-Rt-Z-St+Xt),Yt=(-i+B+U)*(lt-Tt+Rt),ce=(B+U)*(-lt+Tt),tt=i*lt,wt=(-i+G+rt)*(lt-ct+Z),Lt=(-i+G)*(ct-Z),Mt=(G+rt)*(-lt+ct),we=(i+l+m-U-V-G-rt)*Z,ae=rt*(-lt+ct+pt-Rt-Z-St+Ct),fe=(-m+rt+K)*(Rt+St-Ct),pe=(m-K)*(Rt-Ct),Re=m*St,_e=(rt+K)*(-St+Ct),Se=(-m+U+V)*(Z+St-Xt),Je=(m-V)*(Z-Xt),Qe=(U+V)*(-St+Xt),te=l*pt,Le=V*Ct,Ue=B*ct,Ve=G*Tt,Oe=K*Xt,xr=tt+Re+te,Er=Zt+Yt+ce+tt+fe+Re+_e,Hn=tt+wt+Mt+we+Re+Se+Qe,br=ge+Ut+Yt+tt+Re+Se+Je,qn=ge+Yt+ce+tt+Le,Nr=Re+Se+Je+Qe+Ue,Mr=tt+wt+Lt+ae+fe+pe+Re,Sr=fe+pe+Re+_e+Ve,tr=tt+wt+Lt+Mt+Oe;return c.set(0,0,xr),c.set(0,1,Er),c.set(0,2,Hn),c.set(1,0,br),c.set(1,1,qn),c.set(1,2,Nr),c.set(2,0,Mr),c.set(2,1,Sr),c.set(2,2,tr),c}mmulStrassen(u){u=It.checkMatrix(u);let c=this.clone(),i=c.rows,l=c.columns,m=u.rows,B=u.columns;l!==m&&console.warn(`Multiplying ${i} x ${l} and ${m} x ${B} matrix: dimensions do not match.`);function U(K,lt,Tt){let ct=K.rows,pt=K.columns;if(ct===lt&&pt===Tt)return K;{let Rt=Wt.zeros(lt,Tt);return Rt=Rt.setSubMatrix(K,0,0),Rt}}let V=Math.max(i,m),G=Math.max(l,B);c=U(c,V,G),u=U(u,V,G);function rt(K,lt,Tt,ct){if(Tt<=512||ct<=512)return K.mmul(lt);Tt%2===1&&ct%2===1?(K=U(K,Tt+1,ct+1),lt=U(lt,Tt+1,ct+1)):Tt%2===1?(K=U(K,Tt+1,ct),lt=U(lt,Tt+1,ct)):ct%2===1&&(K=U(K,Tt,ct+1),lt=U(lt,Tt,ct+1));let pt=parseInt(K.rows/2,10),Rt=parseInt(K.columns/2,10),Z=K.subMatrix(0,pt-1,0,Rt-1),St=lt.subMatrix(0,pt-1,0,Rt-1),Ct=K.subMatrix(0,pt-1,Rt,K.columns-1),Xt=lt.subMatrix(0,pt-1,Rt,lt.columns-1),Zt=K.subMatrix(pt,K.rows-1,0,Rt-1),ge=lt.subMatrix(pt,lt.rows-1,0,Rt-1),Ut=K.subMatrix(pt,K.rows-1,Rt,K.columns-1),Yt=lt.subMatrix(pt,lt.rows-1,Rt,lt.columns-1),ce=rt(Wt.add(Z,Ut),Wt.add(St,Yt),pt,Rt),tt=rt(Wt.add(Zt,Ut),St,pt,Rt),wt=rt(Z,Wt.sub(Xt,Yt),pt,Rt),Lt=rt(Ut,Wt.sub(ge,St),pt,Rt),Mt=rt(Wt.add(Z,Ct),Yt,pt,Rt),we=rt(Wt.sub(Zt,Z),Wt.add(St,Xt),pt,Rt),ae=rt(Wt.sub(Ct,Ut),Wt.add(ge,Yt),pt,Rt),fe=Wt.add(ce,Lt);fe.sub(Mt),fe.add(ae);let pe=Wt.add(wt,Mt),Re=Wt.add(tt,Lt),_e=Wt.sub(ce,tt);_e.add(wt),_e.add(we);let Se=Wt.zeros(2*fe.rows,2*fe.columns);return Se=Se.setSubMatrix(fe,0,0),Se=Se.setSubMatrix(pe,fe.rows,0),Se=Se.setSubMatrix(Re,0,fe.columns),Se=Se.setSubMatrix(_e,fe.rows,fe.columns),Se.subMatrix(0,Tt-1,0,ct-1)}return rt(c,u,V,G)}scaleRows(u={}){if(typeof u!="object")throw new TypeError("options must be an object");const{min:c=0,max:i=1}=u;if(!Number.isFinite(c))throw new TypeError("min must be a number");if(!Number.isFinite(i))throw new TypeError("max must be a number");if(c>=i)throw new RangeError("min must be smaller than max");let l=new It(this.rows,this.columns);for(let m=0;m<this.rows;m++){const B=this.getRow(m);B.length>0&&nt(B,{min:c,max:i,output:B}),l.setRow(m,B)}return l}scaleColumns(u={}){if(typeof u!="object")throw new TypeError("options must be an object");const{min:c=0,max:i=1}=u;if(!Number.isFinite(c))throw new TypeError("min must be a number");if(!Number.isFinite(i))throw new TypeError("max must be a number");if(c>=i)throw new RangeError("min must be smaller than max");let l=new It(this.rows,this.columns);for(let m=0;m<this.columns;m++){const B=this.getColumn(m);B.length&&nt(B,{min:c,max:i,output:B}),l.setColumn(m,B)}return l}flipRows(){const u=Math.ceil(this.columns/2);for(let c=0;c<this.rows;c++)for(let i=0;i<u;i++){let l=this.get(c,i),m=this.get(c,this.columns-1-i);this.set(c,i,m),this.set(c,this.columns-1-i,l)}return this}flipColumns(){const u=Math.ceil(this.rows/2);for(let c=0;c<this.columns;c++)for(let i=0;i<u;i++){let l=this.get(i,c),m=this.get(this.rows-1-i,c);this.set(i,c,m),this.set(this.rows-1-i,c,l)}return this}kroneckerProduct(u){u=It.checkMatrix(u);let c=this.rows,i=this.columns,l=u.rows,m=u.columns,B=new It(c*l,i*m);for(let U=0;U<c;U++)for(let V=0;V<i;V++)for(let G=0;G<l;G++)for(let rt=0;rt<m;rt++)B.set(l*U+G,m*V+rt,this.get(U,V)*u.get(G,rt));return B}kroneckerSum(u){if(u=It.checkMatrix(u),!this.isSquare()||!u.isSquare())throw new Error("Kronecker Sum needs two Square Matrices");let c=this.rows,i=u.rows,l=this.kroneckerProduct(It.eye(i,i)),m=It.eye(c,c).kroneckerProduct(u);return l.add(m)}transpose(){let u=new It(this.columns,this.rows);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)u.set(i,c,this.get(c,i));return u}sortRows(u=re){for(let c=0;c<this.rows;c++)this.setRow(c,this.getRow(c).sort(u));return this}sortColumns(u=re){for(let c=0;c<this.columns;c++)this.setColumn(c,this.getColumn(c).sort(u));return this}subMatrix(u,c,i,l){Ht(this,u,c,i,l);let m=new It(c-u+1,l-i+1);for(let B=u;B<=c;B++)for(let U=i;U<=l;U++)m.set(B-u,U-i,this.get(B,U));return m}subMatrixRow(u,c,i){if(c===void 0&&(c=0),i===void 0&&(i=this.columns-1),c>i||c<0||c>=this.columns||i<0||i>=this.columns)throw new RangeError("Argument out of range");let l=new It(u.length,i-c+1);for(let m=0;m<u.length;m++)for(let B=c;B<=i;B++){if(u[m]<0||u[m]>=this.rows)throw new RangeError(`Row index out of range: ${u[m]}`);l.set(m,B-c,this.get(u[m],B))}return l}subMatrixColumn(u,c,i){if(c===void 0&&(c=0),i===void 0&&(i=this.rows-1),c>i||c<0||c>=this.rows||i<0||i>=this.rows)throw new RangeError("Argument out of range");let l=new It(i-c+1,u.length);for(let m=0;m<u.length;m++)for(let B=c;B<=i;B++){if(u[m]<0||u[m]>=this.columns)throw new RangeError(`Column index out of range: ${u[m]}`);l.set(B-c,m,this.get(B,u[m]))}return l}setSubMatrix(u,c,i){if(u=It.checkMatrix(u),u.isEmpty())return this;let l=c+u.rows-1,m=i+u.columns-1;Ht(this,c,l,i,m);for(let B=0;B<u.rows;B++)for(let U=0;U<u.columns;U++)this.set(c+B,i+U,u.get(B,U));return this}selection(u,c){kt(this,u),Vt(this,c);let i=new It(u.length,c.length);for(let l=0;l<u.length;l++){let m=u[l];for(let B=0;B<c.length;B++){let U=c[B];i.set(l,B,this.get(m,U))}}return i}trace(){let u=Math.min(this.rows,this.columns),c=0;for(let i=0;i<u;i++)c+=this.get(i,i);return c}clone(){return this.constructor.copy(this,new It(this.rows,this.columns))}static copy(u,c){for(const[i,l,m]of u.entries())c.set(i,l,m);return c}sum(u){switch(u){case"row":return tn(this);case"column":return bn(this);case void 0:return Nn(this);default:throw new Error(`invalid option: ${u}`)}}product(u){switch(u){case"row":return an(this);case"column":return Ze(this);case void 0:return sn(this);default:throw new Error(`invalid option: ${u}`)}}mean(u){const c=this.sum(u);switch(u){case"row":{for(let i=0;i<this.rows;i++)c[i]/=this.columns;return c}case"column":{for(let i=0;i<this.columns;i++)c[i]/=this.rows;return c}case void 0:return c/this.size;default:throw new Error(`invalid option: ${u}`)}}variance(u,c={}){if(typeof u=="object"&&(c=u,u=void 0),typeof c!="object")throw new TypeError("options must be an object");const{unbiased:i=!0,mean:l=this.mean(u)}=c;if(typeof i!="boolean")throw new TypeError("unbiased must be a boolean");switch(u){case"row":{if(!ot.isAnyArray(l))throw new TypeError("mean must be an array");return gt(this,i,l)}case"column":{if(!ot.isAnyArray(l))throw new TypeError("mean must be an array");return vt(this,i,l)}case void 0:{if(typeof l!="number")throw new TypeError("mean must be a number");return At(this,i,l)}default:throw new Error(`invalid option: ${u}`)}}standardDeviation(u,c){typeof u=="object"&&(c=u,u=void 0);const i=this.variance(u,c);if(u===void 0)return Math.sqrt(i);for(let l=0;l<i.length;l++)i[l]=Math.sqrt(i[l]);return i}center(u,c={}){if(typeof u=="object"&&(c=u,u=void 0),typeof c!="object")throw new TypeError("options must be an object");const{center:i=this.mean(u)}=c;switch(u){case"row":{if(!ot.isAnyArray(i))throw new TypeError("center must be an array");return Ft(this,i),this}case"column":{if(!ot.isAnyArray(i))throw new TypeError("center must be an array");return qt(this,i),this}case void 0:{if(typeof i!="number")throw new TypeError("center must be a number");return ue(this,i),this}default:throw new Error(`invalid option: ${u}`)}}scale(u,c={}){if(typeof u=="object"&&(c=u,u=void 0),typeof c!="object")throw new TypeError("options must be an object");let i=c.scale;switch(u){case"row":{if(i===void 0)i=he(this);else if(!ot.isAnyArray(i))throw new TypeError("scale must be an array");return Ie(this,i),this}case"column":{if(i===void 0)i=pn(this);else if(!ot.isAnyArray(i))throw new TypeError("scale must be an array");return De(this,i),this}case void 0:{if(i===void 0)i=Me(this);else if(typeof i!="number")throw new TypeError("scale must be a number");return se(this,i),this}default:throw new Error(`invalid option: ${u}`)}}toString(u){return it(this,u)}[Symbol.iterator](){return this.entries()}*entries(){for(let u=0;u<this.rows;u++)for(let c=0;c<this.columns;c++)yield[u,c,this.get(u,c)]}*values(){for(let u=0;u<this.rows;u++)for(let c=0;c<this.columns;c++)yield this.get(u,c)}}Wt.prototype.klass="Matrix",typeof Symbol!="undefined"&&(Wt.prototype[Symbol.for("nodejs.util.inspect.custom")]=H);function re(T,u){return T-u}function en(T){return T.every(u=>typeof u=="number")}Wt.random=Wt.rand,Wt.randomInt=Wt.randInt,Wt.diagonal=Wt.diag,Wt.prototype.diagonal=Wt.prototype.diag,Wt.identity=Wt.eye,Wt.prototype.negate=Wt.prototype.neg,Wt.prototype.tensorProduct=Wt.prototype.kroneckerProduct;const on=class Zr extends Wt{constructor(u,c){if(super(),A(this,D),N(this,"data"),Zr.isMatrix(u))j(this,D,Y).call(this,u.rows,u.columns),Zr.copy(u,this);else if(Number.isInteger(u)&&u>=0)j(this,D,Y).call(this,u,c);else if(ot.isAnyArray(u)){const i=u;if(u=i.length,c=u?i[0].length:0,typeof c!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let l=0;l<u;l++){if(i[l].length!==c)throw new RangeError("Inconsistent array dimensions");if(!en(i[l]))throw new TypeError("Input data contains non-numeric values");this.data.push(Float64Array.from(i[l]))}this.rows=u,this.columns=c}else throw new TypeError("First argument must be a positive number or an array")}set(u,c,i){return this.data[u][c]=i,this}get(u,c){return this.data[u][c]}removeRow(u){return xt(this,u),this.data.splice(u,1),this.rows-=1,this}addRow(u,c){return c===void 0&&(c=u,u=this.rows),xt(this,u,!0),c=Float64Array.from(Nt(this,c)),this.data.splice(u,0,c),this.rows+=1,this}removeColumn(u){yt(this,u);for(let c=0;c<this.rows;c++){const i=new Float64Array(this.columns-1);for(let l=0;l<u;l++)i[l]=this.data[c][l];for(let l=u+1;l<this.columns;l++)i[l-1]=this.data[c][l];this.data[c]=i}return this.columns-=1,this}addColumn(u,c){typeof c=="undefined"&&(c=u,u=this.columns),yt(this,u,!0),c=Ot(this,c);for(let i=0;i<this.rows;i++){const l=new Float64Array(this.columns+1);let m=0;for(;m<u;m++)l[m]=this.data[i][m];for(l[m++]=c[i];m<this.columns+1;m++)l[m]=this.data[i][m-1];this.data[i]=l}return this.columns+=1,this}};D=new WeakSet,Y=function(T,u){if(this.data=[],Number.isInteger(u)&&u>=0)for(let c=0;c<T;c++)this.data.push(new Float64Array(u));else throw new TypeError("nColumns must be a positive integer");this.rows=T,this.columns=u};let It=on;dt(Wt,It);const un=class Jr extends Wt{constructor(u){if(super(),A(this,_),It.isMatrix(u)){if(!u.isSymmetric())throw new TypeError("not symmetric data");I(this,_,It.copy(u,new It(u.rows,u.rows)))}else if(Number.isInteger(u)&&u>=0)I(this,_,new It(u,u));else if(I(this,_,new It(u)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return M(this,_).size}get rows(){return M(this,_).rows}get columns(){return M(this,_).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(u){return It.isMatrix(u)&&u.klassType==="SymmetricMatrix"}static zeros(u){return new this(u)}static ones(u){return new this(u).fill(1)}clone(){const u=new Jr(this.diagonalSize);for(const[c,i,l]of this.upperRightEntries())u.set(c,i,l);return u}toMatrix(){return new It(this)}get(u,c){return M(this,_).get(u,c)}set(u,c,i){return M(this,_).set(u,c,i),M(this,_).set(c,u,i),this}removeCross(u){return M(this,_).removeRow(u),M(this,_).removeColumn(u),this}addCross(u,c){c===void 0&&(c=u,u=this.diagonalSize);const i=c.slice();return i.splice(u,1),M(this,_).addRow(u,i),M(this,_).addColumn(u,c),this}applyMask(u){if(u.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const c=[];for(const[i,l]of u.entries())l||c.push(i);c.reverse();for(const i of c)this.removeCross(i);return this}toCompact(){const{diagonalSize:u}=this,c=new Array(u*(u+1)/2);for(let i=0,l=0,m=0;m<c.length;m++)c[m]=this.get(l,i),++i>=u&&(i=++l);return c}static fromCompact(u){const c=u.length,i=(Math.sqrt(8*c+1)-1)/2;if(!Number.isInteger(i))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(u)}`);const l=new Jr(i);for(let m=0,B=0,U=0;U<c;U++)l.set(m,B,u[U]),++m>=i&&(m=++B);return l}*upperRightEntries(){for(let u=0,c=0;u<this.diagonalSize;void 0){const i=this.get(u,c);yield[u,c,i],++c>=this.diagonalSize&&(c=++u)}}*upperRightValues(){for(let u=0,c=0;u<this.diagonalSize;void 0)yield this.get(u,c),++c>=this.diagonalSize&&(c=++u)}};_=new WeakMap;let Pe=un;Pe.prototype.klassType="SymmetricMatrix";class xe extends Pe{static isDistanceMatrix(u){return Pe.isSymmetricMatrix(u)&&u.klassSubType==="DistanceMatrix"}constructor(u){if(super(u),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(u,c,i){return u===c&&(i=0),super.set(u,c,i)}addCross(u,c){return c===void 0&&(c=u,u=this.diagonalSize),c=c.slice(),c[u]=0,super.addCross(u,c)}toSymmetricMatrix(){return new Pe(this)}clone(){const u=new xe(this.diagonalSize);for(const[c,i,l]of this.upperRightEntries())c!==i&&u.set(c,i,l);return u}toCompact(){const{diagonalSize:u}=this,c=(u-1)*u/2,i=new Array(c);for(let l=1,m=0,B=0;B<i.length;B++)i[B]=this.get(m,l),++l>=u&&(l=++m+1);return i}static fromCompact(u){const c=u.length;if(c===0)return new this(0);const i=(Math.sqrt(8*c+1)+1)/2;if(!Number.isInteger(i))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(u)}`);const l=new this(i);for(let m=1,B=0,U=0;U<c;U++)l.set(m,B,u[U]),++m>=i&&(m=++B+1);return l}}xe.prototype.klassSubType="DistanceMatrix";class ke extends Wt{constructor(u,c,i){super(),this.matrix=u,this.rows=c,this.columns=i}}class vn extends ke{constructor(u,c){yt(u,c),super(u,u.rows,1),this.column=c}set(u,c,i){return this.matrix.set(u,this.column,i),this}get(u){return this.matrix.get(u,this.column)}}class Mn extends ke{constructor(u,c){Vt(u,c),super(u,u.rows,c.length),this.columnIndices=c}set(u,c,i){return this.matrix.set(u,this.columnIndices[c],i),this}get(u,c){return this.matrix.get(u,this.columnIndices[c])}}class In extends ke{constructor(u){super(u,u.rows,u.columns)}set(u,c,i){return this.matrix.set(u,this.columns-c-1,i),this}get(u,c){return this.matrix.get(u,this.columns-c-1)}}class nn extends ke{constructor(u){super(u,u.rows,u.columns)}set(u,c,i){return this.matrix.set(this.rows-u-1,c,i),this}get(u,c){return this.matrix.get(this.rows-u-1,c)}}class Sn extends ke{constructor(u,c){xt(u,c),super(u,1,u.columns),this.row=c}set(u,c,i){return this.matrix.set(this.row,c,i),this}get(u,c){return this.matrix.get(this.row,c)}}class Pn extends ke{constructor(u,c){kt(u,c),super(u,c.length,u.columns),this.rowIndices=c}set(u,c,i){return this.matrix.set(this.rowIndices[u],c,i),this}get(u,c){return this.matrix.get(this.rowIndices[u],c)}}class mn extends ke{constructor(u,c,i){kt(u,c),Vt(u,i),super(u,c.length,i.length),this.rowIndices=c,this.columnIndices=i}set(u,c,i){return this.matrix.set(this.rowIndices[u],this.columnIndices[c],i),this}get(u,c){return this.matrix.get(this.rowIndices[u],this.columnIndices[c])}}class Bn extends ke{constructor(u,c,i,l,m){Ht(u,c,i,l,m),super(u,i-c+1,m-l+1),this.startRow=c,this.startColumn=l}set(u,c,i){return this.matrix.set(this.startRow+u,this.startColumn+c,i),this}get(u,c){return this.matrix.get(this.startRow+u,this.startColumn+c)}}class Be extends ke{constructor(u){super(u,u.columns,u.rows)}set(u,c,i){return this.matrix.set(c,u,i),this}get(u,c){return this.matrix.get(c,u)}}class ze extends Wt{constructor(u,c={}){const{rows:i=1}=c;if(u.length%i!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=i,this.columns=u.length/i,this.data=u}set(u,c,i){let l=this._calculateIndex(u,c);return this.data[l]=i,this}get(u,c){let i=this._calculateIndex(u,c);return this.data[i]}_calculateIndex(u,c){return u*this.columns+c}}class Ae extends Wt{constructor(u){super(),this.data=u,this.rows=u.length,this.columns=u[0].length}set(u,c,i){return this.data[u][c]=i,this}get(u,c){return this.data[u][c]}}function fr(T,u){if(ot.isAnyArray(T))return T[0]&&ot.isAnyArray(T[0])?new Ae(T):new ze(T,u);throw new Error("the argument is not an array")}class _t{constructor(u){u=Ae.checkMatrix(u);let c=u.clone(),i=c.rows,l=c.columns,m=new Float64Array(i),B=1,U,V,G,rt,K,lt,Tt,ct,pt;for(U=0;U<i;U++)m[U]=U;for(ct=new Float64Array(i),V=0;V<l;V++){for(U=0;U<i;U++)ct[U]=c.get(U,V);for(U=0;U<i;U++){for(pt=Math.min(U,V),K=0,G=0;G<pt;G++)K+=c.get(U,G)*ct[G];ct[U]-=K,c.set(U,V,ct[U])}for(rt=V,U=V+1;U<i;U++)Math.abs(ct[U])>Math.abs(ct[rt])&&(rt=U);if(rt!==V){for(G=0;G<l;G++)lt=c.get(rt,G),c.set(rt,G,c.get(V,G)),c.set(V,G,lt);Tt=m[rt],m[rt]=m[V],m[V]=Tt,B=-B}if(V<i&&c.get(V,V)!==0)for(U=V+1;U<i;U++)c.set(U,V,c.get(U,V)/c.get(V,V))}this.LU=c,this.pivotVector=m,this.pivotSign=B}isSingular(){let u=this.LU,c=u.columns;for(let i=0;i<c;i++)if(u.get(i,i)===0)return!0;return!1}solve(u){u=It.checkMatrix(u);let c=this.LU;if(c.rows!==u.rows)throw new Error("Invalid matrix dimensions");if(this.isSingular())throw new Error("LU matrix is singular");let l=u.columns,m=u.subMatrixRow(this.pivotVector,0,l-1),B=c.columns,U,V,G;for(G=0;G<B;G++)for(U=G+1;U<B;U++)for(V=0;V<l;V++)m.set(U,V,m.get(U,V)-m.get(G,V)*c.get(U,G));for(G=B-1;G>=0;G--){for(V=0;V<l;V++)m.set(G,V,m.get(G,V)/c.get(G,G));for(U=0;U<G;U++)for(V=0;V<l;V++)m.set(U,V,m.get(U,V)-m.get(G,V)*c.get(U,G))}return m}get determinant(){let u=this.LU;if(!u.isSquare())throw new Error("Matrix must be square");let c=this.pivotSign,i=u.columns;for(let l=0;l<i;l++)c*=u.get(l,l);return c}get lowerTriangularMatrix(){let u=this.LU,c=u.rows,i=u.columns,l=new It(c,i);for(let m=0;m<c;m++)for(let B=0;B<i;B++)m>B?l.set(m,B,u.get(m,B)):m===B?l.set(m,B,1):l.set(m,B,0);return l}get upperTriangularMatrix(){let u=this.LU,c=u.rows,i=u.columns,l=new It(c,i);for(let m=0;m<c;m++)for(let B=0;B<i;B++)m<=B?l.set(m,B,u.get(m,B)):l.set(m,B,0);return l}get pivotPermutationVector(){return Array.from(this.pivotVector)}}function rn(T,u){let c=0;return Math.abs(T)>Math.abs(u)?(c=u/T,Math.abs(T)*Math.sqrt(1+c*c)):u!==0?(c=T/u,Math.abs(u)*Math.sqrt(1+c*c)):0}class Un{constructor(u){u=Ae.checkMatrix(u);let c=u.clone(),i=u.rows,l=u.columns,m=new Float64Array(l),B,U,V,G;for(V=0;V<l;V++){let rt=0;for(B=V;B<i;B++)rt=rn(rt,c.get(B,V));if(rt!==0){for(c.get(V,V)<0&&(rt=-rt),B=V;B<i;B++)c.set(B,V,c.get(B,V)/rt);for(c.set(V,V,c.get(V,V)+1),U=V+1;U<l;U++){for(G=0,B=V;B<i;B++)G+=c.get(B,V)*c.get(B,U);for(G=-G/c.get(V,V),B=V;B<i;B++)c.set(B,U,c.get(B,U)+G*c.get(B,V))}}m[V]=-rt}this.QR=c,this.Rdiag=m}solve(u){u=It.checkMatrix(u);let c=this.QR,i=c.rows;if(u.rows!==i)throw new Error("Matrix row dimensions must agree");if(!this.isFullRank())throw new Error("Matrix is rank deficient");let l=u.columns,m=u.clone(),B=c.columns,U,V,G,rt;for(G=0;G<B;G++)for(V=0;V<l;V++){for(rt=0,U=G;U<i;U++)rt+=c.get(U,G)*m.get(U,V);for(rt=-rt/c.get(G,G),U=G;U<i;U++)m.set(U,V,m.get(U,V)+rt*c.get(U,G))}for(G=B-1;G>=0;G--){for(V=0;V<l;V++)m.set(G,V,m.get(G,V)/this.Rdiag[G]);for(U=0;U<G;U++)for(V=0;V<l;V++)m.set(U,V,m.get(U,V)-m.get(G,V)*c.get(U,G))}return m.subMatrix(0,B-1,0,l-1)}isFullRank(){let u=this.QR.columns;for(let c=0;c<u;c++)if(this.Rdiag[c]===0)return!1;return!0}get upperTriangularMatrix(){let u=this.QR,c=u.columns,i=new It(c,c),l,m;for(l=0;l<c;l++)for(m=0;m<c;m++)l<m?i.set(l,m,u.get(l,m)):l===m?i.set(l,m,this.Rdiag[l]):i.set(l,m,0);return i}get orthogonalMatrix(){let u=this.QR,c=u.rows,i=u.columns,l=new It(c,i),m,B,U,V;for(U=i-1;U>=0;U--){for(m=0;m<c;m++)l.set(m,U,0);for(l.set(U,U,1),B=U;B<i;B++)if(u.get(U,U)!==0){for(V=0,m=U;m<c;m++)V+=u.get(m,U)*l.get(m,B);for(V=-V/u.get(U,U),m=U;m<c;m++)l.set(m,B,l.get(m,B)+V*u.get(m,U))}}return l}}class cn{constructor(u,c={}){if(u=Ae.checkMatrix(u),u.isEmpty())throw new Error("Matrix must be non-empty");let i=u.rows,l=u.columns;const{computeLeftSingularVectors:m=!0,computeRightSingularVectors:B=!0,autoTranspose:U=!1}=c;let V=!!m,G=!!B,rt=!1,K;if(i<l)if(!U)K=u.clone(),console.warn("Computing SVD on a matrix with more columns than rows. Consider enabling autoTranspose");else{K=u.transpose(),i=K.rows,l=K.columns,rt=!0;let tt=V;V=G,G=tt}else K=u.clone();let lt=Math.min(i,l),Tt=Math.min(i+1,l),ct=new Float64Array(Tt),pt=new It(i,lt),Rt=new It(l,l),Z=new Float64Array(l),St=new Float64Array(i),Ct=new Float64Array(Tt);for(let tt=0;tt<Tt;tt++)Ct[tt]=tt;let Xt=Math.min(i-1,l),Zt=Math.max(0,Math.min(l-2,i)),ge=Math.max(Xt,Zt);for(let tt=0;tt<ge;tt++){if(tt<Xt){ct[tt]=0;for(let wt=tt;wt<i;wt++)ct[tt]=rn(ct[tt],K.get(wt,tt));if(ct[tt]!==0){K.get(tt,tt)<0&&(ct[tt]=-ct[tt]);for(let wt=tt;wt<i;wt++)K.set(wt,tt,K.get(wt,tt)/ct[tt]);K.set(tt,tt,K.get(tt,tt)+1)}ct[tt]=-ct[tt]}for(let wt=tt+1;wt<l;wt++){if(tt<Xt&&ct[tt]!==0){let Lt=0;for(let Mt=tt;Mt<i;Mt++)Lt+=K.get(Mt,tt)*K.get(Mt,wt);Lt=-Lt/K.get(tt,tt);for(let Mt=tt;Mt<i;Mt++)K.set(Mt,wt,K.get(Mt,wt)+Lt*K.get(Mt,tt))}Z[wt]=K.get(tt,wt)}if(V&&tt<Xt)for(let wt=tt;wt<i;wt++)pt.set(wt,tt,K.get(wt,tt));if(tt<Zt){Z[tt]=0;for(let wt=tt+1;wt<l;wt++)Z[tt]=rn(Z[tt],Z[wt]);if(Z[tt]!==0){Z[tt+1]<0&&(Z[tt]=0-Z[tt]);for(let wt=tt+1;wt<l;wt++)Z[wt]/=Z[tt];Z[tt+1]+=1}if(Z[tt]=-Z[tt],tt+1<i&&Z[tt]!==0){for(let wt=tt+1;wt<i;wt++)St[wt]=0;for(let wt=tt+1;wt<i;wt++)for(let Lt=tt+1;Lt<l;Lt++)St[wt]+=Z[Lt]*K.get(wt,Lt);for(let wt=tt+1;wt<l;wt++){let Lt=-Z[wt]/Z[tt+1];for(let Mt=tt+1;Mt<i;Mt++)K.set(Mt,wt,K.get(Mt,wt)+Lt*St[Mt])}}if(G)for(let wt=tt+1;wt<l;wt++)Rt.set(wt,tt,Z[wt])}}let Ut=Math.min(l,i+1);if(Xt<l&&(ct[Xt]=K.get(Xt,Xt)),i<Ut&&(ct[Ut-1]=0),Zt+1<Ut&&(Z[Zt]=K.get(Zt,Ut-1)),Z[Ut-1]=0,V){for(let tt=Xt;tt<lt;tt++){for(let wt=0;wt<i;wt++)pt.set(wt,tt,0);pt.set(tt,tt,1)}for(let tt=Xt-1;tt>=0;tt--)if(ct[tt]!==0){for(let wt=tt+1;wt<lt;wt++){let Lt=0;for(let Mt=tt;Mt<i;Mt++)Lt+=pt.get(Mt,tt)*pt.get(Mt,wt);Lt=-Lt/pt.get(tt,tt);for(let Mt=tt;Mt<i;Mt++)pt.set(Mt,wt,pt.get(Mt,wt)+Lt*pt.get(Mt,tt))}for(let wt=tt;wt<i;wt++)pt.set(wt,tt,-pt.get(wt,tt));pt.set(tt,tt,1+pt.get(tt,tt));for(let wt=0;wt<tt-1;wt++)pt.set(wt,tt,0)}else{for(let wt=0;wt<i;wt++)pt.set(wt,tt,0);pt.set(tt,tt,1)}}if(G)for(let tt=l-1;tt>=0;tt--){if(tt<Zt&&Z[tt]!==0)for(let wt=tt+1;wt<l;wt++){let Lt=0;for(let Mt=tt+1;Mt<l;Mt++)Lt+=Rt.get(Mt,tt)*Rt.get(Mt,wt);Lt=-Lt/Rt.get(tt+1,tt);for(let Mt=tt+1;Mt<l;Mt++)Rt.set(Mt,wt,Rt.get(Mt,wt)+Lt*Rt.get(Mt,tt))}for(let wt=0;wt<l;wt++)Rt.set(wt,tt,0);Rt.set(tt,tt,1)}let Yt=Ut-1,ce=Number.EPSILON;for(;Ut>0;){let tt,wt;for(tt=Ut-2;tt>=-1&&tt!==-1;tt--){const Lt=Number.MIN_VALUE+ce*Math.abs(ct[tt]+Math.abs(ct[tt+1]));if(Math.abs(Z[tt])<=Lt||Number.isNaN(Z[tt])){Z[tt]=0;break}}if(tt===Ut-2)wt=4;else{let Lt;for(Lt=Ut-1;Lt>=tt&&Lt!==tt;Lt--){let Mt=(Lt!==Ut?Math.abs(Z[Lt]):0)+(Lt!==tt+1?Math.abs(Z[Lt-1]):0);if(Math.abs(ct[Lt])<=ce*Mt){ct[Lt]=0;break}}Lt===tt?wt=3:Lt===Ut-1?wt=1:(wt=2,tt=Lt)}switch(tt++,wt){case 1:{let Lt=Z[Ut-2];Z[Ut-2]=0;for(let Mt=Ut-2;Mt>=tt;Mt--){let we=rn(ct[Mt],Lt),ae=ct[Mt]/we,fe=Lt/we;if(ct[Mt]=we,Mt!==tt&&(Lt=-fe*Z[Mt-1],Z[Mt-1]=ae*Z[Mt-1]),G)for(let pe=0;pe<l;pe++)we=ae*Rt.get(pe,Mt)+fe*Rt.get(pe,Ut-1),Rt.set(pe,Ut-1,-fe*Rt.get(pe,Mt)+ae*Rt.get(pe,Ut-1)),Rt.set(pe,Mt,we)}break}case 2:{let Lt=Z[tt-1];Z[tt-1]=0;for(let Mt=tt;Mt<Ut;Mt++){let we=rn(ct[Mt],Lt),ae=ct[Mt]/we,fe=Lt/we;if(ct[Mt]=we,Lt=-fe*Z[Mt],Z[Mt]=ae*Z[Mt],V)for(let pe=0;pe<i;pe++)we=ae*pt.get(pe,Mt)+fe*pt.get(pe,tt-1),pt.set(pe,tt-1,-fe*pt.get(pe,Mt)+ae*pt.get(pe,tt-1)),pt.set(pe,Mt,we)}break}case 3:{const Lt=Math.max(Math.abs(ct[Ut-1]),Math.abs(ct[Ut-2]),Math.abs(Z[Ut-2]),Math.abs(ct[tt]),Math.abs(Z[tt])),Mt=ct[Ut-1]/Lt,we=ct[Ut-2]/Lt,ae=Z[Ut-2]/Lt,fe=ct[tt]/Lt,pe=Z[tt]/Lt,Re=((we+Mt)*(we-Mt)+ae*ae)/2,_e=Mt*ae*(Mt*ae);let Se=0;(Re!==0||_e!==0)&&(Re<0?Se=0-Math.sqrt(Re*Re+_e):Se=Math.sqrt(Re*Re+_e),Se=_e/(Re+Se));let Je=(fe+Mt)*(fe-Mt)+Se,Qe=fe*pe;for(let te=tt;te<Ut-1;te++){let Le=rn(Je,Qe);Le===0&&(Le=Number.MIN_VALUE);let Ue=Je/Le,Ve=Qe/Le;if(te!==tt&&(Z[te-1]=Le),Je=Ue*ct[te]+Ve*Z[te],Z[te]=Ue*Z[te]-Ve*ct[te],Qe=Ve*ct[te+1],ct[te+1]=Ue*ct[te+1],G)for(let Oe=0;Oe<l;Oe++)Le=Ue*Rt.get(Oe,te)+Ve*Rt.get(Oe,te+1),Rt.set(Oe,te+1,-Ve*Rt.get(Oe,te)+Ue*Rt.get(Oe,te+1)),Rt.set(Oe,te,Le);if(Le=rn(Je,Qe),Le===0&&(Le=Number.MIN_VALUE),Ue=Je/Le,Ve=Qe/Le,ct[te]=Le,Je=Ue*Z[te]+Ve*ct[te+1],ct[te+1]=-Ve*Z[te]+Ue*ct[te+1],Qe=Ve*Z[te+1],Z[te+1]=Ue*Z[te+1],V&&te<i-1)for(let Oe=0;Oe<i;Oe++)Le=Ue*pt.get(Oe,te)+Ve*pt.get(Oe,te+1),pt.set(Oe,te+1,-Ve*pt.get(Oe,te)+Ue*pt.get(Oe,te+1)),pt.set(Oe,te,Le)}Z[Ut-2]=Je;break}case 4:{if(ct[tt]<=0&&(ct[tt]=ct[tt]<0?-ct[tt]:0,G))for(let Lt=0;Lt<=Yt;Lt++)Rt.set(Lt,tt,-Rt.get(Lt,tt));for(;tt<Yt&&!(ct[tt]>=ct[tt+1]);){let Lt=ct[tt];if(ct[tt]=ct[tt+1],ct[tt+1]=Lt,G&&tt<l-1)for(let Mt=0;Mt<l;Mt++)Lt=Rt.get(Mt,tt+1),Rt.set(Mt,tt+1,Rt.get(Mt,tt)),Rt.set(Mt,tt,Lt);if(V&&tt<i-1)for(let Mt=0;Mt<i;Mt++)Lt=pt.get(Mt,tt+1),pt.set(Mt,tt+1,pt.get(Mt,tt)),pt.set(Mt,tt,Lt);tt++}Ut--;break}}}if(rt){let tt=Rt;Rt=pt,pt=tt}this.m=i,this.n=l,this.s=ct,this.U=pt,this.V=Rt}solve(u){let c=u,i=this.threshold,l=this.s.length,m=It.zeros(l,l);for(let lt=0;lt<l;lt++)Math.abs(this.s[lt])<=i?m.set(lt,lt,0):m.set(lt,lt,1/this.s[lt]);let B=this.U,U=this.rightSingularVectors,V=U.mmul(m),G=U.rows,rt=B.rows,K=It.zeros(G,rt);for(let lt=0;lt<G;lt++)for(let Tt=0;Tt<rt;Tt++){let ct=0;for(let pt=0;pt<l;pt++)ct+=V.get(lt,pt)*B.get(Tt,pt);K.set(lt,Tt,ct)}return K.mmul(c)}solveForDiagonal(u){return this.solve(It.diag(u))}inverse(){let u=this.V,c=this.threshold,i=u.rows,l=u.columns,m=new It(i,this.s.length);for(let rt=0;rt<i;rt++)for(let K=0;K<l;K++)Math.abs(this.s[K])>c&&m.set(rt,K,u.get(rt,K)/this.s[K]);let B=this.U,U=B.rows,V=B.columns,G=new It(i,U);for(let rt=0;rt<i;rt++)for(let K=0;K<U;K++){let lt=0;for(let Tt=0;Tt<V;Tt++)lt+=m.get(rt,Tt)*B.get(K,Tt);G.set(rt,K,lt)}return G}get condition(){return this.s[0]/this.s[Math.min(this.m,this.n)-1]}get norm2(){return this.s[0]}get rank(){let u=Math.max(this.m,this.n)*this.s[0]*Number.EPSILON,c=0,i=this.s;for(let l=0,m=i.length;l<m;l++)i[l]>u&&c++;return c}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return It.diag(this.s)}}function lr(T,u=!1){return T=Ae.checkMatrix(T),u?new cn(T).inverse():Jn(T,It.eye(T.rows))}function Jn(T,u,c=!1){return T=Ae.checkMatrix(T),u=Ae.checkMatrix(u),c?new cn(T).solve(u):T.isSquare()?new _t(T).solve(u):new Un(T).solve(u)}function Rn(T){if(T=It.checkMatrix(T),T.isSquare()){if(T.columns===0)return 1;let u,c,i,l;if(T.columns===2)return u=T.get(0,0),c=T.get(0,1),i=T.get(1,0),l=T.get(1,1),u*l-c*i;if(T.columns===3){let m,B,U;return m=new mn(T,[1,2],[1,2]),B=new mn(T,[1,2],[0,2]),U=new mn(T,[1,2],[0,1]),u=T.get(0,0),c=T.get(0,1),i=T.get(0,2),u*Rn(m)-c*Rn(B)+i*Rn(U)}else return new _t(T).determinant}else throw Error("determinant can only be calculated for a square matrix")}function dr(T,u){let c=[];for(let i=0;i<T;i++)i!==u&&c.push(i);return c}function hr(T,u,c,i=1e-9,l=1e-9){if(T>l)return new Array(u.rows+1).fill(0);{let m=u.addRow(c,[0]);for(let B=0;B<m.rows;B++)Math.abs(m.get(B,0))<i&&m.set(B,0,0);return m.to1DArray()}}function Vn(T,u={}){const{thresholdValue:c=1e-9,thresholdError:i=1e-9}=u;T=It.checkMatrix(T);let l=T.rows,m=new It(l,l);for(let B=0;B<l;B++){let U=It.columnVector(T.getRow(B)),V=T.subMatrixRow(dr(l,B)).transpose(),rt=new cn(V).solve(U),K=It.sub(U,V.mmul(rt)).abs().max();m.setRow(B,hr(K,rt,B,c,i))}return m}function gr(T,u=Number.EPSILON){if(T=It.checkMatrix(T),T.isEmpty())return T.transpose();let c=new cn(T,{autoTranspose:!0}),i=c.leftSingularVectors,l=c.rightSingularVectors,m=c.diagonal;for(let B=0;B<m.length;B++)Math.abs(m[B])>u?m[B]=1/m[B]:m[B]=0;return l.mmul(It.diag(m).mmul(i.transpose()))}function Gn(T,u=T,c={}){T=new It(T);let i=!1;if(typeof u=="object"&&!It.isMatrix(u)&&!ot.isAnyArray(u)?(c=u,u=T,i=!0):u=new It(u),T.rows!==u.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:l=!0}=c;l&&(T=T.center("column"),i||(u=u.center("column")));const m=T.transpose().mmul(u);for(let B=0;B<m.rows;B++)for(let U=0;U<m.columns;U++)m.set(B,U,m.get(B,U)*(1/(T.rows-1)));return m}function pr(T,u=T,c={}){T=new It(T);let i=!1;if(typeof u=="object"&&!It.isMatrix(u)&&!ot.isAnyArray(u)?(c=u,u=T,i=!0):u=new It(u),T.rows!==u.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:l=!0,scale:m=!0}=c;l&&(T.center("column"),i||u.center("column")),m&&(T.scale("column"),i||u.scale("column"));const B=T.standardDeviation("column",{unbiased:!0}),U=i?B:u.standardDeviation("column",{unbiased:!0}),V=T.transpose().mmul(u);for(let G=0;G<V.rows;G++)for(let rt=0;rt<V.columns;rt++)V.set(G,rt,V.get(G,rt)*(1/(B[G]*U[rt]))*(1/(T.rows-1)));return V}class Qn{constructor(u,c={}){const{assumeSymmetric:i=!1}=c;if(u=Ae.checkMatrix(u),!u.isSquare())throw new Error("Matrix is not a square matrix");if(u.isEmpty())throw new Error("Matrix must be non-empty");let l=u.columns,m=new It(l,l),B=new Float64Array(l),U=new Float64Array(l),V=u,G,rt,K=!1;if(i?K=!0:K=u.isSymmetric(),K){for(G=0;G<l;G++)for(rt=0;rt<l;rt++)m.set(G,rt,V.get(G,rt));vr(l,U,B,m),mr(l,U,B,m)}else{let lt=new It(l,l),Tt=new Float64Array(l);for(rt=0;rt<l;rt++)for(G=0;G<l;G++)lt.set(G,rt,V.get(G,rt));yn(l,lt,Tt,m),yr(l,U,B,m,lt)}this.n=l,this.e=U,this.d=B,this.V=m}get realEigenvalues(){return Array.from(this.d)}get imaginaryEigenvalues(){return Array.from(this.e)}get eigenvectorMatrix(){return this.V}get diagonalMatrix(){let u=this.n,c=this.e,i=this.d,l=new It(u,u),m,B;for(m=0;m<u;m++){for(B=0;B<u;B++)l.set(m,B,0);l.set(m,m,i[m]),c[m]>0?l.set(m,m+1,c[m]):c[m]<0&&l.set(m,m-1,c[m])}return l}}function vr(T,u,c,i){let l,m,B,U,V,G,rt,K;for(V=0;V<T;V++)c[V]=i.get(T-1,V);for(U=T-1;U>0;U--){for(K=0,B=0,G=0;G<U;G++)K=K+Math.abs(c[G]);if(K===0)for(u[U]=c[U-1],V=0;V<U;V++)c[V]=i.get(U-1,V),i.set(U,V,0),i.set(V,U,0);else{for(G=0;G<U;G++)c[G]/=K,B+=c[G]*c[G];for(l=c[U-1],m=Math.sqrt(B),l>0&&(m=-m),u[U]=K*m,B=B-l*m,c[U-1]=l-m,V=0;V<U;V++)u[V]=0;for(V=0;V<U;V++){for(l=c[V],i.set(V,U,l),m=u[V]+i.get(V,V)*l,G=V+1;G<=U-1;G++)m+=i.get(G,V)*c[G],u[G]+=i.get(G,V)*l;u[V]=m}for(l=0,V=0;V<U;V++)u[V]/=B,l+=u[V]*c[V];for(rt=l/(B+B),V=0;V<U;V++)u[V]-=rt*c[V];for(V=0;V<U;V++){for(l=c[V],m=u[V],G=V;G<=U-1;G++)i.set(G,V,i.get(G,V)-(l*u[G]+m*c[G]));c[V]=i.get(U-1,V),i.set(U,V,0)}}c[U]=B}for(U=0;U<T-1;U++){if(i.set(T-1,U,i.get(U,U)),i.set(U,U,1),B=c[U+1],B!==0){for(G=0;G<=U;G++)c[G]=i.get(G,U+1)/B;for(V=0;V<=U;V++){for(m=0,G=0;G<=U;G++)m+=i.get(G,U+1)*i.get(G,V);for(G=0;G<=U;G++)i.set(G,V,i.get(G,V)-m*c[G])}}for(G=0;G<=U;G++)i.set(G,U+1,0)}for(V=0;V<T;V++)c[V]=i.get(T-1,V),i.set(T-1,V,0);i.set(T-1,T-1,1),u[0]=0}function mr(T,u,c,i){let l,m,B,U,V,G,rt,K,lt,Tt,ct,pt,Rt,Z,St,Ct;for(B=1;B<T;B++)u[B-1]=u[B];u[T-1]=0;let Xt=0,Zt=0,ge=Number.EPSILON;for(G=0;G<T;G++){for(Zt=Math.max(Zt,Math.abs(c[G])+Math.abs(u[G])),rt=G;rt<T&&!(Math.abs(u[rt])<=ge*Zt);)rt++;if(rt>G)do{for(l=c[G],K=(c[G+1]-l)/(2*u[G]),lt=rn(K,1),K<0&&(lt=-lt),c[G]=u[G]/(K+lt),c[G+1]=u[G]*(K+lt),Tt=c[G+1],m=l-c[G],B=G+2;B<T;B++)c[B]-=m;for(Xt=Xt+m,K=c[rt],ct=1,pt=ct,Rt=ct,Z=u[G+1],St=0,Ct=0,B=rt-1;B>=G;B--)for(Rt=pt,pt=ct,Ct=St,l=ct*u[B],m=ct*K,lt=rn(K,u[B]),u[B+1]=St*lt,St=u[B]/lt,ct=K/lt,K=ct*c[B]-St*l,c[B+1]=m+St*(ct*l+St*c[B]),V=0;V<T;V++)m=i.get(V,B+1),i.set(V,B+1,St*i.get(V,B)+ct*m),i.set(V,B,ct*i.get(V,B)-St*m);K=-St*Ct*Rt*Z*u[G]/Tt,u[G]=St*K,c[G]=ct*K}while(Math.abs(u[G])>ge*Zt);c[G]=c[G]+Xt,u[G]=0}for(B=0;B<T-1;B++){for(V=B,K=c[B],U=B+1;U<T;U++)c[U]<K&&(V=U,K=c[U]);if(V!==B)for(c[V]=c[B],c[B]=K,U=0;U<T;U++)K=i.get(U,B),i.set(U,B,i.get(U,V)),i.set(U,V,K)}}function yn(T,u,c,i){let l=0,m=T-1,B,U,V,G,rt,K,lt;for(K=l+1;K<=m-1;K++){for(lt=0,G=K;G<=m;G++)lt=lt+Math.abs(u.get(G,K-1));if(lt!==0){for(V=0,G=m;G>=K;G--)c[G]=u.get(G,K-1)/lt,V+=c[G]*c[G];for(U=Math.sqrt(V),c[K]>0&&(U=-U),V=V-c[K]*U,c[K]=c[K]-U,rt=K;rt<T;rt++){for(B=0,G=m;G>=K;G--)B+=c[G]*u.get(G,rt);for(B=B/V,G=K;G<=m;G++)u.set(G,rt,u.get(G,rt)-B*c[G])}for(G=0;G<=m;G++){for(B=0,rt=m;rt>=K;rt--)B+=c[rt]*u.get(G,rt);for(B=B/V,rt=K;rt<=m;rt++)u.set(G,rt,u.get(G,rt)-B*c[rt])}c[K]=lt*c[K],u.set(K,K-1,lt*U)}}for(G=0;G<T;G++)for(rt=0;rt<T;rt++)i.set(G,rt,G===rt?1:0);for(K=m-1;K>=l+1;K--)if(u.get(K,K-1)!==0){for(G=K+1;G<=m;G++)c[G]=u.get(G,K-1);for(rt=K;rt<=m;rt++){for(U=0,G=K;G<=m;G++)U+=c[G]*i.get(G,rt);for(U=U/c[K]/u.get(K,K-1),G=K;G<=m;G++)i.set(G,rt,i.get(G,rt)+U*c[G])}}}function yr(T,u,c,i,l){let m=T-1,B=0,U=T-1,V=Number.EPSILON,G=0,rt=0,K=0,lt=0,Tt=0,ct=0,pt=0,Rt=0,Z,St,Ct,Xt,Zt,ge,Ut,Yt,ce,tt,wt,Lt,Mt,we,ae;for(Z=0;Z<T;Z++)for((Z<B||Z>U)&&(c[Z]=l.get(Z,Z),u[Z]=0),St=Math.max(Z-1,0);St<T;St++)rt=rt+Math.abs(l.get(Z,St));for(;m>=B;){for(Xt=m;Xt>B&&(ct=Math.abs(l.get(Xt-1,Xt-1))+Math.abs(l.get(Xt,Xt)),ct===0&&(ct=rt),!(Math.abs(l.get(Xt,Xt-1))<V*ct));)Xt--;if(Xt===m)l.set(m,m,l.get(m,m)+G),c[m]=l.get(m,m),u[m]=0,m--,Rt=0;else if(Xt===m-1){if(Ut=l.get(m,m-1)*l.get(m-1,m),K=(l.get(m-1,m-1)-l.get(m,m))/2,lt=K*K+Ut,pt=Math.sqrt(Math.abs(lt)),l.set(m,m,l.get(m,m)+G),l.set(m-1,m-1,l.get(m-1,m-1)+G),Yt=l.get(m,m),lt>=0){for(pt=K>=0?K+pt:K-pt,c[m-1]=Yt+pt,c[m]=c[m-1],pt!==0&&(c[m]=Yt-Ut/pt),u[m-1]=0,u[m]=0,Yt=l.get(m,m-1),ct=Math.abs(Yt)+Math.abs(pt),K=Yt/ct,lt=pt/ct,Tt=Math.sqrt(K*K+lt*lt),K=K/Tt,lt=lt/Tt,St=m-1;St<T;St++)pt=l.get(m-1,St),l.set(m-1,St,lt*pt+K*l.get(m,St)),l.set(m,St,lt*l.get(m,St)-K*pt);for(Z=0;Z<=m;Z++)pt=l.get(Z,m-1),l.set(Z,m-1,lt*pt+K*l.get(Z,m)),l.set(Z,m,lt*l.get(Z,m)-K*pt);for(Z=B;Z<=U;Z++)pt=i.get(Z,m-1),i.set(Z,m-1,lt*pt+K*i.get(Z,m)),i.set(Z,m,lt*i.get(Z,m)-K*pt)}else c[m-1]=Yt+K,c[m]=Yt+K,u[m-1]=pt,u[m]=-pt;m=m-2,Rt=0}else{if(Yt=l.get(m,m),ce=0,Ut=0,Xt<m&&(ce=l.get(m-1,m-1),Ut=l.get(m,m-1)*l.get(m-1,m)),Rt===10){for(G+=Yt,Z=B;Z<=m;Z++)l.set(Z,Z,l.get(Z,Z)-Yt);ct=Math.abs(l.get(m,m-1))+Math.abs(l.get(m-1,m-2)),Yt=ce=.75*ct,Ut=-.4375*ct*ct}if(Rt===30&&(ct=(ce-Yt)/2,ct=ct*ct+Ut,ct>0)){for(ct=Math.sqrt(ct),ce<Yt&&(ct=-ct),ct=Yt-Ut/((ce-Yt)/2+ct),Z=B;Z<=m;Z++)l.set(Z,Z,l.get(Z,Z)-ct);G+=ct,Yt=ce=Ut=.964}for(Rt=Rt+1,Zt=m-2;Zt>=Xt&&(pt=l.get(Zt,Zt),Tt=Yt-pt,ct=ce-pt,K=(Tt*ct-Ut)/l.get(Zt+1,Zt)+l.get(Zt,Zt+1),lt=l.get(Zt+1,Zt+1)-pt-Tt-ct,Tt=l.get(Zt+2,Zt+1),ct=Math.abs(K)+Math.abs(lt)+Math.abs(Tt),K=K/ct,lt=lt/ct,Tt=Tt/ct,!(Zt===Xt||Math.abs(l.get(Zt,Zt-1))*(Math.abs(lt)+Math.abs(Tt))<V*(Math.abs(K)*(Math.abs(l.get(Zt-1,Zt-1))+Math.abs(pt)+Math.abs(l.get(Zt+1,Zt+1))))));)Zt--;for(Z=Zt+2;Z<=m;Z++)l.set(Z,Z-2,0),Z>Zt+2&&l.set(Z,Z-3,0);for(Ct=Zt;Ct<=m-1&&(we=Ct!==m-1,Ct!==Zt&&(K=l.get(Ct,Ct-1),lt=l.get(Ct+1,Ct-1),Tt=we?l.get(Ct+2,Ct-1):0,Yt=Math.abs(K)+Math.abs(lt)+Math.abs(Tt),Yt!==0&&(K=K/Yt,lt=lt/Yt,Tt=Tt/Yt)),Yt!==0);Ct++)if(ct=Math.sqrt(K*K+lt*lt+Tt*Tt),K<0&&(ct=-ct),ct!==0){for(Ct!==Zt?l.set(Ct,Ct-1,-ct*Yt):Xt!==Zt&&l.set(Ct,Ct-1,-l.get(Ct,Ct-1)),K=K+ct,Yt=K/ct,ce=lt/ct,pt=Tt/ct,lt=lt/K,Tt=Tt/K,St=Ct;St<T;St++)K=l.get(Ct,St)+lt*l.get(Ct+1,St),we&&(K=K+Tt*l.get(Ct+2,St),l.set(Ct+2,St,l.get(Ct+2,St)-K*pt)),l.set(Ct,St,l.get(Ct,St)-K*Yt),l.set(Ct+1,St,l.get(Ct+1,St)-K*ce);for(Z=0;Z<=Math.min(m,Ct+3);Z++)K=Yt*l.get(Z,Ct)+ce*l.get(Z,Ct+1),we&&(K=K+pt*l.get(Z,Ct+2),l.set(Z,Ct+2,l.get(Z,Ct+2)-K*Tt)),l.set(Z,Ct,l.get(Z,Ct)-K),l.set(Z,Ct+1,l.get(Z,Ct+1)-K*lt);for(Z=B;Z<=U;Z++)K=Yt*i.get(Z,Ct)+ce*i.get(Z,Ct+1),we&&(K=K+pt*i.get(Z,Ct+2),i.set(Z,Ct+2,i.get(Z,Ct+2)-K*Tt)),i.set(Z,Ct,i.get(Z,Ct)-K),i.set(Z,Ct+1,i.get(Z,Ct+1)-K*lt)}}}if(rt!==0){for(m=T-1;m>=0;m--)if(K=c[m],lt=u[m],lt===0)for(Xt=m,l.set(m,m,1),Z=m-1;Z>=0;Z--){for(Ut=l.get(Z,Z)-K,Tt=0,St=Xt;St<=m;St++)Tt=Tt+l.get(Z,St)*l.get(St,m);if(u[Z]<0)pt=Ut,ct=Tt;else if(Xt=Z,u[Z]===0?l.set(Z,m,Ut!==0?-Tt/Ut:-Tt/(V*rt)):(Yt=l.get(Z,Z+1),ce=l.get(Z+1,Z),lt=(c[Z]-K)*(c[Z]-K)+u[Z]*u[Z],ge=(Yt*ct-pt*Tt)/lt,l.set(Z,m,ge),l.set(Z+1,m,Math.abs(Yt)>Math.abs(pt)?(-Tt-Ut*ge)/Yt:(-ct-ce*ge)/pt)),ge=Math.abs(l.get(Z,m)),V*ge*ge>1)for(St=Z;St<=m;St++)l.set(St,m,l.get(St,m)/ge)}else if(lt<0)for(Xt=m-1,Math.abs(l.get(m,m-1))>Math.abs(l.get(m-1,m))?(l.set(m-1,m-1,lt/l.get(m,m-1)),l.set(m-1,m,-(l.get(m,m)-K)/l.get(m,m-1))):(ae=On(0,-l.get(m-1,m),l.get(m-1,m-1)-K,lt),l.set(m-1,m-1,ae[0]),l.set(m-1,m,ae[1])),l.set(m,m-1,0),l.set(m,m,1),Z=m-2;Z>=0;Z--){for(tt=0,wt=0,St=Xt;St<=m;St++)tt=tt+l.get(Z,St)*l.get(St,m-1),wt=wt+l.get(Z,St)*l.get(St,m);if(Ut=l.get(Z,Z)-K,u[Z]<0)pt=Ut,Tt=tt,ct=wt;else if(Xt=Z,u[Z]===0?(ae=On(-tt,-wt,Ut,lt),l.set(Z,m-1,ae[0]),l.set(Z,m,ae[1])):(Yt=l.get(Z,Z+1),ce=l.get(Z+1,Z),Lt=(c[Z]-K)*(c[Z]-K)+u[Z]*u[Z]-lt*lt,Mt=(c[Z]-K)*2*lt,Lt===0&&Mt===0&&(Lt=V*rt*(Math.abs(Ut)+Math.abs(lt)+Math.abs(Yt)+Math.abs(ce)+Math.abs(pt))),ae=On(Yt*Tt-pt*tt+lt*wt,Yt*ct-pt*wt-lt*tt,Lt,Mt),l.set(Z,m-1,ae[0]),l.set(Z,m,ae[1]),Math.abs(Yt)>Math.abs(pt)+Math.abs(lt)?(l.set(Z+1,m-1,(-tt-Ut*l.get(Z,m-1)+lt*l.get(Z,m))/Yt),l.set(Z+1,m,(-wt-Ut*l.get(Z,m)-lt*l.get(Z,m-1))/Yt)):(ae=On(-Tt-ce*l.get(Z,m-1),-ct-ce*l.get(Z,m),pt,lt),l.set(Z+1,m-1,ae[0]),l.set(Z+1,m,ae[1]))),ge=Math.max(Math.abs(l.get(Z,m-1)),Math.abs(l.get(Z,m))),V*ge*ge>1)for(St=Z;St<=m;St++)l.set(St,m-1,l.get(St,m-1)/ge),l.set(St,m,l.get(St,m)/ge)}for(Z=0;Z<T;Z++)if(Z<B||Z>U)for(St=Z;St<T;St++)i.set(Z,St,l.get(Z,St));for(St=T-1;St>=B;St--)for(Z=B;Z<=U;Z++){for(pt=0,Ct=B;Ct<=Math.min(St,U);Ct++)pt=pt+i.get(Z,Ct)*l.get(Ct,St);i.set(Z,St,pt)}}}function On(T,u,c,i){let l,m;return Math.abs(c)>Math.abs(i)?(l=i/c,m=c+l*i,[(T+l*u)/m,(u-l*T)/m]):(l=c/i,m=i+l*c,[(l*T+u)/m,(l*u-T)/m])}class Wn{constructor(u){if(u=Ae.checkMatrix(u),!u.isSymmetric())throw new Error("Matrix is not symmetric");let c=u,i=c.rows,l=new It(i,i),m=!0,B,U,V;for(U=0;U<i;U++){let G=0;for(V=0;V<U;V++){let rt=0;for(B=0;B<V;B++)rt+=l.get(V,B)*l.get(U,B);rt=(c.get(U,V)-rt)/l.get(V,V),l.set(U,V,rt),G=G+rt*rt}for(G=c.get(U,U)-G,m&&(m=G>0),l.set(U,U,Math.sqrt(Math.max(G,0))),V=U+1;V<i;V++)l.set(U,V,0)}this.L=l,this.positiveDefinite=m}isPositiveDefinite(){return this.positiveDefinite}solve(u){u=Ae.checkMatrix(u);let c=this.L,i=c.rows;if(u.rows!==i)throw new Error("Matrix dimensions do not match");if(this.isPositiveDefinite()===!1)throw new Error("Matrix is not positive definite");let l=u.columns,m=u.clone(),B,U,V;for(V=0;V<i;V++)for(U=0;U<l;U++){for(B=0;B<V;B++)m.set(V,U,m.get(V,U)-m.get(B,U)*c.get(V,B));m.set(V,U,m.get(V,U)/c.get(V,V))}for(V=i-1;V>=0;V--)for(U=0;U<l;U++){for(B=V+1;B<i;B++)m.set(V,U,m.get(V,U)-m.get(B,U)*c.get(B,V));m.set(V,U,m.get(V,U)/c.get(V,V))}return m}get lowerTriangularMatrix(){return this.L}}class wr{constructor(u,c={}){u=Ae.checkMatrix(u);let{Y:i}=c;const{scaleScores:l=!1,maxIterations:m=1e3,terminationCriteria:B=1e-10}=c;let U;if(i){if(ot.isAnyArray(i)&&typeof i[0]=="number"?i=It.columnVector(i):i=Ae.checkMatrix(i),i.rows!==u.rows)throw new Error("Y should have the same number of rows as X");U=i.getColumnVector(0)}else U=u.getColumnVector(0);let V=1,G,rt,K,lt;for(let Tt=0;Tt<m&&V>B;Tt++)K=u.transpose().mmul(U).div(U.transpose().mmul(U).get(0,0)),K=K.div(K.norm()),G=u.mmul(K).div(K.transpose().mmul(K).get(0,0)),Tt>0&&(V=G.clone().sub(lt).pow(2).sum()),lt=G.clone(),i?(rt=i.transpose().mmul(G).div(G.transpose().mmul(G).get(0,0)),rt=rt.div(rt.norm()),U=i.mmul(rt).div(rt.transpose().mmul(rt).get(0,0))):U=G;if(i){let Tt=u.transpose().mmul(G).div(G.transpose().mmul(G).get(0,0));Tt=Tt.div(Tt.norm());let ct=u.clone().sub(G.clone().mmul(Tt.transpose())),pt=U.transpose().mmul(G).div(G.transpose().mmul(G).get(0,0)),Rt=i.clone().sub(G.clone().mulS(pt.get(0,0)).mmul(rt.transpose()));this.t=G,this.p=Tt.transpose(),this.w=K.transpose(),this.q=rt,this.u=U,this.s=G.transpose().mmul(G),this.xResidual=ct,this.yResidual=Rt,this.betas=pt}else 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t=e.nodeFilter||sn,r=e.edgeFilter||sn;this.nodeFilter=t,this.edgeFilter=s=>{const{source:o,target:d}=this.graph.getEdgeDetail(s.id);return!t(o)||!t(d)?!1:r(s,o,d)},e.cache==="auto"?(this.cacheEnabled=!0,this.startAutoCache()):e.cache==="manual"?this.cacheEnabled=!0:this.cacheEnabled=!1}startAutoCache(){this.refreshCache(),this.graph.on("changed",this.handleGraphChanged)}stopAutoCache(){this.graph.off("changed",this.handleGraphChanged)}checkNodeExistence(e){this.getNode(e)}hasNode(e){if(!this.graph.hasNode(e))return!1;const t=this.graph.getNode(e);return this.nodeFilter(t)}areNeighbors(e,t){return this.checkNodeExistence(e),this.getNeighbors(t).some(r=>r.id===e)}getNode(e){const t=this.graph.getNode(e);if(!this.nodeFilter(t))throw new Error("Node not found for id: "+e);return t}getRelatedEdges(e,t){return this.checkNodeExistence(e),this.cacheEnabled?t==="in"?this.inEdgesMap.get(e):t==="out"?this.outEdgesMap.get(e):this.bothEdgesMap.get(e):this.graph.getRelatedEdges(e,t).filter(this.edgeFilter)}getDegree(e,t){return this.getRelatedEdges(e,t).length}getSuccessors(e){const r=this.getRelatedEdges(e,"out").map(s=>this.getNode(s.target));return Array.from(new Set(r))}getPredecessors(e){const r=this.getRelatedEdges(e,"in").map(s=>this.getNode(s.source));return Array.from(new Set(r))}getNeighbors(e){const t=this.getPredecessors(e),r=this.getSuccessors(e);return Array.from(new Set([...t,...r]))}hasEdge(e){if(!this.graph.hasEdge(e))return!1;const t=this.graph.getEdge(e);return this.edgeFilter(t)}getEdge(e){const t=this.graph.getEdge(e);if(!this.edgeFilter(t))throw new Error("Edge not found for id: "+e);return t}getEdgeDetail(e){const t=this.getEdge(e);return{edge:t,source:this.getNode(t.source),target:this.getNode(t.target)}}hasTreeStructure(e){return 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h&&(o=!0),!h}else if(d.type==="EdgeDataUpdated"||d.type==="EdgeUpdated")return d.id!==s.value.id;return!0}),o||r.push(s);break}case"NodeDataUpdated":case"EdgeDataUpdated":case"EdgeUpdated":{const o=r.findIndex(h=>h.type===s.type&&h.id===s.id&&(s.propertyName===void 0||h.propertyName===s.propertyName)),d=r[o];d?s.propertyName!==void 0?d.newValue=s.newValue:(r.splice(o,1),r.push(s)):r.push(s);break}case"TreeStructureDetached":{r=r.filter(o=>o.type==="TreeStructureAttached"||o.type==="TreeStructureChanged"?o.treeKey!==s.treeKey:!0),r.push(s);break}case"TreeStructureChanged":{const o=r.find(d=>d.type==="TreeStructureChanged"&&d.treeKey===s.treeKey&&d.nodeId===s.nodeId);o?o.newParentId=s.newParentId:r.push(s);break}default:r.push(s);break}}),r}checkNodeExistence(t){this.getNode(t)}hasNode(t){return this.nodeMap.has(t)}areNeighbors(t,r){return this.getNeighbors(r).some(s=>s.id===t)}getNode(t){const r=this.nodeMap.get(t);if(!r)throw new Error("Node not found for id: "+t);return r}getRelatedEdges(t,r){if(this.checkNodeExistence(t),r==="in"){const s=this.inEdgesMap.get(t);return Array.from(s)}else if(r==="out"){const s=this.outEdgesMap.get(t);return Array.from(s)}else{const s=this.bothEdgesMap.get(t);return Array.from(s)}}getDegree(t,r){return this.getRelatedEdges(t,r).length}getSuccessors(t){const s=this.getRelatedEdges(t,"out").map(o=>this.getNode(o.target));return Array.from(new Set(s))}getPredecessors(t){const s=this.getRelatedEdges(t,"in").map(o=>this.getNode(o.source));return Array.from(new Set(s))}getNeighbors(t){const r=this.getPredecessors(t),s=this.getSuccessors(t);return Array.from(new Set([...r,...s]))}doAddNode(t){if(this.hasNode(t.id))throw new Error("Node already exists: "+t.id);this.nodeMap.set(t.id,t),this.inEdgesMap.set(t.id,new Set),this.outEdgesMap.set(t.id,new Set),this.bothEdgesMap.set(t.id,new Set),this.treeIndices.forEach(r=>{r.childrenMap.set(t.id,new Set)}),this.changes.push({type:"NodeAdded",value:t})}addNodes(t){this.batch(()=>{for(const r of t)this.doAddNode(r)})}addNode(t){this.addNodes([t])}doRemoveNode(t){const r=this.getNode(t),s=this.bothEdgesMap.get(t);s==null||s.forEach(o=>this.doRemoveEdge(o.id)),this.nodeMap.delete(t),this.treeIndices.forEach(o=>{var h,p;(h=o.childrenMap.get(t))==null||h.forEach(g=>{o.parentMap.delete(g.id)});const d=o.parentMap.get(t);d&&((p=o.childrenMap.get(d.id))==null||p.delete(r)),o.parentMap.delete(t),o.childrenMap.delete(t)}),this.bothEdgesMap.delete(t),this.inEdgesMap.delete(t),this.outEdgesMap.delete(t),this.changes.push({type:"NodeRemoved",value:r})}removeNodes(t){this.batch(()=>{t.forEach(r=>this.doRemoveNode(r))})}removeNode(t){this.removeNodes([t])}updateNodeDataProperty(t,r,s){const o=this.getNode(t);this.batch(()=>{const 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ie=(W-bt)/C,de=($-Bt)/C,Jt=(X-Qt)/C;if($t&&(r[F].x-=$t*ie,r[F].y-=$t*de,r[F].z-=$t*Jt),Pt===0){const Te=zt(q);if(!Te)return;r[F].x-=Te*ie,r[F].y-=Te*de,r[F].z-=Te*Jt;return}if(Et===0||jt===0){const Te=Gt(q,h,p);if(!Te)return;r[F].x-=Te*ie,r[F].y-=Te*de,r[F].z-=Te*Jt;return}const oe=Kt(q);if(!oe)return;r[F].x-=oe*ie,r[F].y-=oe*de,r[F].z-=oe*Jt}})}updateVelocity(e,t,r,s){const{damping:o,maxSpeed:d,interval:h,dimensions:p}=s,g=e.getAllNodes();g!=null&&g.length&&g.forEach(y=>{const{id:O}=y;let L=(r[O].x+t[O].x*h)*o||.01,R=(r[O].y+t[O].y*h)*o||.01,k=p===3?(r[O].z+t[O].z*h)*o||.01:0;const F=Math.sqrt(L*L+R*R+k*k);if(F>d){const z=d/F;L=z*L,R=z*R,k=z*k}r[O]={x:L,y:R,z:k}})}updatePosition(e,t,r,s){const{distanceThresholdMode:o,interval:d,dimensions:h}=s,p=t.getAllNodes();if(!(p!=null&&p.length)){this.judgingDistance=0;return}let 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ea={gForce:!0,force2:!0,d3force:!0,fruchterman:!0,forceAtlas2:!0,force:!0,"graphin-force":!0},na={center:[0,0],comboPadding:10,treeKey:"combo"};class ra{constructor(e={}){this.options=e,this.id="comboCombined",this.options=Object.assign(Object.assign({},na),e)}execute(e,t){return A(this,void 0,void 0,function*(){return this.genericComboCombinedLayout(!1,e,t)})}assign(e,t){return A(this,void 0,void 0,function*(){yield this.genericComboCombinedLayout(!0,e,t)})}genericComboCombinedLayout(e,t,r){return A(this,void 0,void 0,function*(){const s=this.initVals(Object.assign(Object.assign({},this.options),r)),{center:o,treeKey:d,outerLayout:h}=s,p=t.getAllNodes().filter(J=>!J.data._isCombo),g=t.getAllNodes().filter(J=>J.data._isCombo),y=t.getAllEdges(),O=p==null?void 0:p.length;if(!O||O===1)return Tn(t,e,o);const L=[],R=new Map;p.forEach(J=>{R.set(J.id,J)});const k=new Map;g.forEach(J=>{k.set(J.id,J)});const F=new Map,z=this.getInnerGraphs(t,d,R,k,y,s,F);yield Promise.all(z);const C=new Map,W=[],$=new Map;let X=!0;t.getRoots(d).forEach(J=>{const mt=F.get(J.id),Et=k.get(J.id)||R.get(J.id),jt={id:J.id,data:Object.assign(Object.assign({},J.data),{x:mt.data.x||Et.data.x,y:mt.data.y||Et.data.y,fx:mt.data.fx||Et.data.fx,fy:mt.data.fy||Et.data.fy,mass:mt.data.mass||Et.data.mass,size:mt.data.size})};W.push(jt),C.set(J.id,!0),!isNaN(jt.data.x)&&jt.data.x!==0&&!isNaN(jt.data.y)&&jt.data.y!==0?X=!1:(jt.data.x=Math.random()*100,jt.data.y=Math.random()*100),zr(t,[J],Pt=>{Pt.id!==J.id&&$.set(Pt.id,J.id)},"TB",d)});const q=[];y.forEach(J=>{const mt=$.get(J.source)||J.source,Et=$.get(J.target)||J.target;mt!==Et&&C.has(mt)&&C.has(Et)&&q.push({id:J.id,source:mt,target:Et,data:{}})});let st;if(W!=null&&W.length){if(W.length===1)W[0].data.x=o[0],W[0].data.y=o[1];else{const J=new vt({nodes:W,edges:q}),mt=h||new Es;X&&ea[mt.id]&&(yield(W.length<100?new Ts:new Pr).assign(J));const Et=Object.assign({center:o,kg:5,preventOverlap:!0,animate:!1},mt.id==="force"?{gravity:1,factor:4,linkDistance:(jt,Pt,Dt)=>{const Gt=Math.max(...Pt.data.size)||32,zt=Math.max(...Dt.data.size)||32;return Gt/2+zt/2+200}}:{});st=yield Is(mt,J,Et)}F.forEach(J=>{var mt;const Et=st.nodes.find(Dt=>Dt.id===J.id);if(Et){const{x:Dt,y:Gt}=Et.data;J.data.visited=!0,J.data.x=Dt,J.data.y=Gt,L.push({id:J.id,data:{x:Dt,y:Gt}})}const{x:jt,y:Pt}=J.data;(mt=J.data.nodes)===null||mt===void 0||mt.forEach(Dt=>{L.push({id:Dt.id,data:{x:Dt.data.x+jt,y:Dt.data.y+Pt}})})}),F.forEach(({data:J})=>{const{x:mt,y:Et,visited:jt,nodes:Pt}=J;Pt==null||Pt.forEach(Dt=>{if(!jt){const Gt=L.find(zt=>zt.id===Dt.id);Gt.data.x+=mt||0,Gt.data.y+=Et||0}})})}return e&&L.forEach(J=>{t.mergeNodeData(J.id,{x:J.data.x,y:J.data.y})}),{nodes:L,edges:y}})}initVals(e){const t=Object.assign({},e),{nodeSize:r,spacing:s,comboPadding:o}=e;let d,h;if(_t(s)?h=()=>s:fn(s)?h=s:h=()=>0,t.spacing=h,!r)d=g=>{const y=h(g);return 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Ws{constructor(){super(...arguments),this.id="d3-force-3d",this.config={inputNodeAttrs:["x","y","z","vx","vy","vz","fx","fy","fz"],outputNodeAttrs:["x","y","z","vx","vy","vz"],simulationAttrs:["alpha","alphaMin","alphaDecay","alphaTarget","velocityDecay","randomSource","numDimensions"]},this.forceMap={link:Ga,manyBody:lu,center:du,collide:gu,radial:pu,x:vu,y:mu,z:yu},this.options={numDimensions:3,link:{id:e=>e.id},manyBody:{},center:{x:0,y:0,z:0}}}initSimulation(){return fu()}}var Hs=me(92546),xu=me.n(Hs);class or{constructor(e){this.id="dagre",this.options={},Object.assign(this.options,or.defaultOptions,e)}execute(e,t){return A(this,void 0,void 0,function*(){return this.genericDagreLayout(!1,e,Object.assign(Object.assign({},this.options),t))})}assign(e,t){return A(this,void 0,void 0,function*(){yield this.genericDagreLayout(!0,e,Object.assign(Object.assign({},this.options),t))})}genericDagreLayout(e,t,r){return A(this,void 0,void 0,function*(){const{nodeSize:s}=r,o=new Hs.graphlib.Graph;o.setGraph(r),o.setDefaultEdgeLabel(()=>({}));const d=t.getAllNodes(),h=t.getAllEdges();[...d,...h].some(({id:g})=>_t(g))&&console.error("Dagre layout only support string id, it will convert number to string."),t.getAllNodes().forEach(g=>{const{id:y}=g,O=Object.assign({},g.data);if(s!==void 0){const[L,R]=Yn(fn(s)?s(g):s);Object.assign(O,{width:L,height:R})}o.setNode(y.toString(),O)}),t.getAllEdges().forEach(({id:g,source:y,target:O})=>{o.setEdge(y.toString(),O.toString(),{id:g})}),xu().layout(o);const p={nodes:[],edges:[]};return o.nodes().forEach(g=>{const y=o.node(g);p.nodes.push({id:g,data:y}),e&&t.mergeNodeData(g,y)}),o.edges().forEach(g=>{const y=o.edge(g),{id:O}=y,L=f(y,["id"]),{v:R,w:k}=g;p.edges.push({id:O,source:R,target:k,data:L}),e&&t.mergeEdgeData(O,L)}),p})}}or.defaultOptions={};class $r{constructor(e){this.id=e.id||0,this.rx=e.rx,this.ry=e.ry,this.fx=0,this.fy=0,this.mass=e.mass,this.degree=e.degree,this.g=e.g||0}distanceTo(e){const t=this.rx-e.rx,r=this.ry-e.ry;return Math.hypot(t,r)}setPos(e,t){this.rx=e,this.ry=t}resetForce(){this.fx=0,this.fy=0}addForce(e){const t=e.rx-this.rx,r=e.ry-this.ry;let s=Math.hypot(t,r);s=s<1e-4?1e-4:s;const o=this.g*(this.degree+1)*(e.degree+1)/s;this.fx+=o*t/s,this.fy+=o*r/s}in(e){return e.contains(this.rx,this.ry)}add(e){const t=this.mass+e.mass,r=(this.rx*this.mass+e.rx*e.mass)/t,s=(this.ry*this.mass+e.ry*e.mass)/t,o=this.degree+e.degree,d={rx:r,ry:s,mass:t,degree:o};return new $r(d)}}class zn{constructor(e){this.xmid=e.xmid,this.ymid=e.ymid,this.length=e.length,this.massCenter=e.massCenter||[0,0],this.mass=e.mass||1}getLength(){return this.length}contains(e,t){const r=this.length/2;return e<=this.xmid+r&&e>=this.xmid-r&&t<=this.ymid+r&&t>=this.ymid-r}NW(){const e=this.xmid-this.length/4,t=this.ymid+this.length/4,r=this.length/2,s={xmid:e,ymid:t,length:r};return new zn(s)}NE(){const e=this.xmid+this.length/4,t=this.ymid+this.length/4,r=this.length/2,s={xmid:e,ymid:t,length:r};return new zn(s)}SW(){const e=this.xmid-this.length/4,t=this.ymid-this.length/4,r=this.length/2,s={xmid:e,ymid:t,length:r};return new zn(s)}SE(){const e=this.xmid+this.length/4,t=this.ymid-this.length/4,r=this.length/2,s={xmid:e,ymid:t,length:r};return new zn(s)}}class Fn{constructor(e){this.body=null,this.quad=null,this.NW=null,this.NE=null,this.SW=null,this.SE=null,this.theta=.5,e!=null&&(this.quad=e)}insert(e){if(this.body==null){this.body=e;return}this._isExternal()?(this.quad&&(this.NW=new Fn(this.quad.NW()),this.NE=new Fn(this.quad.NE()),this.SW=new Fn(this.quad.SW()),this.SE=new Fn(this.quad.SE())),this._putBody(this.body),this._putBody(e),this.body=this.body.add(e)):(this.body=this.body.add(e),this._putBody(e))}_putBody(e){this.quad&&(e.in(this.quad.NW())&&this.NW?this.NW.insert(e):e.in(this.quad.NE())&&this.NE?this.NE.insert(e):e.in(this.quad.SW())&&this.SW?this.SW.insert(e):e.in(this.quad.SE())&&this.SE&&this.SE.insert(e))}_isExternal(){return this.NW==null&&this.NE==null&&this.SW==null&&this.SE==null}updateForce(e){if(!(this.body==null||e===this.body))if(this._isExternal())e.addForce(this.body);else{const t=this.quad?this.quad.getLength():0,r=this.body.distanceTo(e);t/r<this.theta?e.addForce(this.body):(this.NW&&this.NW.updateForce(e),this.NE&&this.NE.updateForce(e),this.SW&&this.SW.updateForce(e),this.SE&&this.SE.updateForce(e))}}}const Eu={center:[0,0],width:300,height:300,kr:5,kg:1,mode:"normal",preventOverlap:!1,dissuadeHubs:!1,maxIteration:0,ks:.1,ksmax:10,tao:.1};class bu{constructor(e={}){this.options=e,this.id="forceAtlas2",this.options=Object.assign(Object.assign({},Eu),e)}execute(e,t){return A(this,void 0,void 0,function*(){return this.genericForceAtlas2Layout(!1,e,t)})}assign(e,t){return A(this,void 0,void 0,function*(){yield this.genericForceAtlas2Layout(!0,e,t)})}genericForceAtlas2Layout(e,t,r){return A(this,void 0,void 0,function*(){const s=t.getAllEdges(),o=t.getAllNodes(),d=this.formatOptions(r,o.length),{width:h,height:p,prune:g,maxIteration:y,nodeSize:O,center:L}=d;if(!(o!=null&&o.length)||o.length===1)return Tn(t,e,L);const R=o.map(C=>Ke(C,[h,p])),k=s.filter(C=>{const{source:W,target:$}=C;return W!==$}),F=new vt({nodes:R,edges:k}),z=this.getSizes(F,O);if(this.run(F,t,y,z,e,d),g){for(let W=0;W<k.length;W+=1){const{source:$,target:X}=k[W],q=F.getDegree($),st=F.getDegree($);if(q<=1){const ut=F.getNode(X);F.mergeNodeData($,{x:ut.data.x,y:ut.data.y})}else if(st<=1){const ut=F.getNode($);F.mergeNodeData(X,{x:ut.data.x,y:ut.data.y})}}const C=Object.assign(Object.assign({},d),{prune:!1,barnesHut:!1});this.run(F,t,100,z,e,C)}return{nodes:R,edges:s}})}getSizes(e,t){const r=e.getAllNodes(),s={};for(let o=0;o<r.length;o+=1){const d=r[o];s[d.id]=jr(t,void 0)(d)}return s}formatOptions(e={},t){const r=Object.assign(Object.assign({},this.options),e),{center:s,width:o,height:d,barnesHut:h,prune:p,maxIteration:g,kr:y,kg:O}=r;return r.width=!o&&typeof window!="undefined"?window.innerWidth:o,r.height=!d&&typeof window!="undefined"?window.innerHeight:d,r.center=s||[r.width/2,r.height/2],h===void 0&&t>250&&(r.barnesHut=!0),p===void 0&&t>100&&(r.prune=!0),g===0&&!p?(r.maxIteration=250,t<=200&&t>100?r.maxIteration=1e3:t>200&&(r.maxIteration=1200)):g===0&&p&&(r.maxIteration=100,t<=200&&t>100?r.maxIteration=500:t>200&&(r.maxIteration=950)),y||(r.kr=50,t>100&&t<=500?r.kr=20:t>500&&(r.kr=1)),O||(r.kg=20,t>100&&t<=500?r.kg=10:t>500&&(r.kg=1)),r}run(e,t,r,s,o,d){const{kr:h,barnesHut:p,onTick:g}=d,y=e.getAllNodes();let O=0,L=r;const R={},k={},F={};for(let z=0;z<y.length;z+=1){const{data:C,id:W}=y[z];if(R[W]=[0,0],p){const $={id:z,rx:C.x,ry:C.y,mass:1,g:h,degree:e.getDegree(W)};F[W]=new $r($)}}for(;L>0;)O=this.oneStep(e,{iter:L,preventOverlapIters:50,krPrime:100,sg:O,forces:R,preForces:k,bodies:F,sizes:s},d),L--,g==null||g({nodes:y,edges:t.getAllEdges()});return e}oneStep(e,t,r){const{iter:s,preventOverlapIters:o,krPrime:d,sg:h,preForces:p,bodies:g,sizes:y}=t;let{forces:O}=t;const{preventOverlap:L,barnesHut:R}=r,k=e.getAllNodes();for(let F=0;F<k.length;F+=1){const{id:z}=k[F];p[z]=[...O[z]],O[z]=[0,0]}return O=this.getAttrForces(e,s,o,y,O,r),R&&(L&&s>o||!L)?O=this.getOptRepGraForces(e,O,g,r):O=this.getRepGraForces(e,s,o,O,d,y,r),this.updatePos(e,O,p,h,r)}getAttrForces(e,t,r,s,o,d){const{preventOverlap:h,dissuadeHubs:p,mode:g,prune:y}=d,O=e.getAllEdges();for(let L=0;L<O.length;L+=1){const{source:R,target:k}=O[L],F=e.getNode(R),z=e.getNode(k),C=e.getDegree(R),W=e.getDegree(k);if(y&&(C<=1||W<=1))continue;const $=[z.data.x-F.data.x,z.data.y-F.data.y];let X=Math.hypot($[0],$[1]);X=X<1e-4?1e-4:X,$[0]=$[0]/X,$[1]=$[1]/X,h&&t<r&&(X=X-s[R]-s[k]);let q=X,st=q;g==="linlog"&&(q=Math.log(1+X),st=q),p&&(q=X/C,st=X/W),h&&t<r&&X<=0?(q=0,st=0):h&&t<r&&X>0&&(q=X,st=X),o[R][0]+=q*$[0],o[k][0]-=st*$[0],o[R][1]+=q*$[1],o[k][1]-=st*$[1]}return o}getOptRepGraForces(e,t,r,s){const{kg:o,center:d,prune:h}=s,p=e.getAllNodes(),g=p.length;let y=9e10,O=-9e10,L=9e10,R=-9e10;for(let W=0;W<g;W+=1){const{id:$,data:X}=p[W];h&&e.getDegree($)<=1||(r[$].setPos(X.x,X.y),X.x>=O&&(O=X.x),X.x<=y&&(y=X.x),X.y>=R&&(R=X.y),X.y<=L&&(L=X.y))}const k=Math.max(O-y,R-L),F={xmid:(O+y)/2,ymid:(R+L)/2,length:k,massCenter:d,mass:g},z=new zn(F),C=new Fn(z);for(let W=0;W<g;W+=1){const{id:$}=p[W];h&&e.getDegree($)<=1||r[$].in(z)&&C.insert(r[$])}for(let W=0;W<g;W+=1){const{id:$,data:X}=p[W],q=e.getDegree($);if(h&&q<=1)continue;r[$].resetForce(),C.updateForce(r[$]),t[$][0]-=r[$].fx,t[$][1]-=r[$].fy;const st=[X.x-d[0],X.y-d[1]];let ut=Math.hypot(st[0],st[1]);ut=ut<1e-4?1e-4:ut,st[0]=st[0]/ut,st[1]=st[1]/ut;const J=o*(q+1);t[$][0]-=J*st[0],t[$][1]-=J*st[1]}return t}getRepGraForces(e,t,r,s,o,d,h){const{preventOverlap:p,kr:g,kg:y,center:O,prune:L}=h,R=e.getAllNodes(),k=R.length;for(let F=0;F<k;F+=1){const z=R[F],C=e.getDegree(z.id);for(let q=F+1;q<k;q+=1){const st=R[q],ut=e.getDegree(st.id);if(L&&(C<=1||ut<=1))continue;const J=[st.data.x-z.data.x,st.data.y-z.data.y];let mt=Math.hypot(J[0],J[1]);mt=mt<1e-4?1e-4:mt,J[0]=J[0]/mt,J[1]=J[1]/mt,p&&t<r&&(mt=mt-d[z.id]-d[st.id]);let Et=g*(C+1)*(ut+1)/mt;p&&t<r&&mt<0?Et=o*(C+1)*(ut+1):p&&t<r&&mt===0?Et=0:p&&t<r&&mt>0&&(Et=g*(C+1)*(ut+1)/mt),s[z.id][0]-=Et*J[0],s[st.id][0]+=Et*J[0],s[z.id][1]-=Et*J[1],s[st.id][1]+=Et*J[1]}const W=[z.data.x-O[0],z.data.y-O[1]],$=Math.hypot(W[0],W[1]);W[0]=W[0]/$,W[1]=W[1]/$;const X=y*(C+1);s[z.id][0]-=X*W[0],s[z.id][1]-=X*W[1]}return s}updatePos(e,t,r,s,o){const{ks:d,tao:h,prune:p,ksmax:g}=o,y=e.getAllNodes(),O=y.length,L=[],R=[];let k=0,F=0,z=s;for(let W=0;W<O;W+=1){const{id:$}=y[W],X=e.getDegree($);if(p&&X<=1)continue;const q=[t[$][0]-r[$][0],t[$][1]-r[$][1]],st=Math.hypot(q[0],q[1]),ut=[t[$][0]+r[$][0],t[$][1]+r[$][1]],J=Math.hypot(ut[0],ut[1]);L[W]=st,R[W]=J/2,k+=(X+1)*L[W],F+=(X+1)*R[W]}const C=z;z=h*F/k,C!==0&&(z=z>1.5*C?1.5*C:z);for(let W=0;W<O;W+=1){const{id:$,data:X}=y[W],q=e.getDegree($);if(p&&q<=1||_t(X.fx)&&_t(X.fy))continue;let st=d*z/(1+z*Math.sqrt(L[W])),ut=Math.hypot(t[$][0],t[$][1]);ut=ut<1e-4?1e-4:ut;const J=g/ut;st=st>J?J:st;const mt=st*t[$][0],Et=st*t[$][1];e.mergeNodeData($,{x:X.x+mt,y:X.y+Et})}return z}}const Nu={maxIteration:1e3,gravity:10,speed:5,clustering:!1,clusterGravity:10,width:300,height:300,nodeClusterBy:"cluster"},Mu=800;class Su{constructor(e={}){this.options=e,this.id="fruchterman",this.timeInterval=0,this.running=!1,this.options=Object.assign(Object.assign({},Nu),e)}execute(e,t){return A(this,void 0,void 0,function*(){return this.genericFruchtermanLayout(!1,e,t)})}assign(e,t){return A(this,void 0,void 0,function*(){yield this.genericFruchtermanLayout(!0,e,t)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(e=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let r=0;r<e;r++)this.runOneStep(this.lastGraph,this.lastClusterMap,this.lastOptions);const t={nodes:this.lastLayoutNodes,edges:this.lastLayoutEdges};return this.lastAssign&&t.nodes.forEach(r=>this.lastGraph.mergeNodeData(r.id,{x:r.data.x,y:r.data.y,z:this.options.dimensions===3?r.data.z:void 0})),t}genericFruchtermanLayout(e,t,r){return A(this,void 0,void 0,function*(){if(this.running)return;const s=this.formatOptions(r),{dimensions:o,width:d,height:h,center:p,clustering:g,nodeClusterBy:y,maxIteration:O,onTick:L}=s,R=t.getAllNodes(),k=t.getAllEdges();if(!(R!=null&&R.length)){const $={nodes:[],edges:k};return this.lastResult=$,$}if(R.length===1){e&&t.mergeNodeData(R[0].id,{x:p[0],y:p[1],z:o===3?p[2]:void 0});const $={nodes:[Object.assign(Object.assign({},R[0]),{data:Object.assign(Object.assign({},R[0].data),{x:p[0],y:p[1],z:o===3?p[2]:void 0})})],edges:k};return this.lastResult=$,$}const F=R.map($=>Ke($,[d,h])),z=new vt({nodes:F,edges:k}),C={};if(g&&F.forEach($=>{const X=$.data[y];C[X]||(C[X]={name:X,cx:0,cy:0,count:0})}),this.lastLayoutNodes=F,this.lastLayoutEdges=k,this.lastAssign=e,this.lastGraph=z,this.lastOptions=s,this.lastClusterMap=C,typeof window=="undefined")return;let W=0;return new Promise($=>{this.timeInterval=window.setInterval(()=>{if(!this.running){$({nodes:F,edges:k});return}this.runOneStep(z,C,s),e&&F.forEach(({id:X,data:q})=>t.mergeNodeData(X,{x:q.x,y:q.y,z:o===3?q.z:void 0})),L==null||L({nodes:F,edges:k}),W++,W>=O&&(window.clearInterval(this.timeInterval),$({nodes:F,edges:k}))},0),this.running=!0})})}formatOptions(e={}){const 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diff --git a/3339.c666ab4f.async.js b/3339.c666ab4f.async.js
deleted file mode 100644
index d9b3ae0440..0000000000
--- a/3339.c666ab4f.async.js
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K=l+Math.round(B()*U);V.set(G,rt,K)}return V}static eye(u,c,i){c===void 0&&(c=u),i===void 0&&(i=1);let l=Math.min(u,c),m=this.zeros(u,c);for(let B=0;B<l;B++)m.set(B,B,i);return m}static diag(u,c,i){let l=u.length;c===void 0&&(c=l),i===void 0&&(i=c);let m=Math.min(l,c,i),B=this.zeros(c,i);for(let U=0;U<m;U++)B.set(U,U,u[U]);return B}static min(u,c){u=this.checkMatrix(u),c=this.checkMatrix(c);let i=u.rows,l=u.columns,m=new It(i,l);for(let B=0;B<i;B++)for(let U=0;U<l;U++)m.set(B,U,Math.min(u.get(B,U),c.get(B,U)));return m}static max(u,c){u=this.checkMatrix(u),c=this.checkMatrix(c);let i=u.rows,l=u.columns,m=new this(i,l);for(let B=0;B<i;B++)for(let U=0;U<l;U++)m.set(B,U,Math.max(u.get(B,U),c.get(B,U)));return m}static checkMatrix(u){return Wt.isMatrix(u)?u:new It(u)}static isMatrix(u){return u!=null&&u.klass==="Matrix"}get size(){return this.rows*this.columns}apply(u){if(typeof u!="function")throw new TypeError("callback must be a function");for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)u.call(this,c,i);return this}to1DArray(){let u=[];for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)u.push(this.get(c,i));return u}to2DArray(){let u=[];for(let c=0;c<this.rows;c++){u.push([]);for(let i=0;i<this.columns;i++)u[c].push(this.get(c,i))}return u}toJSON(){return this.to2DArray()}isRowVector(){return this.rows===1}isColumnVector(){return this.columns===1}isVector(){return this.rows===1||this.columns===1}isSquare(){return this.rows===this.columns}isEmpty(){return this.rows===0||this.columns===0}isSymmetric(){if(this.isSquare()){for(let u=0;u<this.rows;u++)for(let c=0;c<=u;c++)if(this.get(u,c)!==this.get(c,u))return!1;return!0}return!1}isDistance(){if(!this.isSymmetric())return!1;for(let u=0;u<this.rows;u++)if(this.get(u,u)!==0)return!1;return!0}isEchelonForm(){let u=0,c=0,i=-1,l=!0,m=!1;for(;u<this.rows&&l;){for(c=0,m=!1;c<this.columns&&m===!1;)this.get(u,c)===0?c++:this.get(u,c)===1&&c>i?(m=!0,i=c):(l=!1,m=!0);u++}return l}isReducedEchelonForm(){let u=0,c=0,i=-1,l=!0,m=!1;for(;u<this.rows&&l;){for(c=0,m=!1;c<this.columns&&m===!1;)this.get(u,c)===0?c++:this.get(u,c)===1&&c>i?(m=!0,i=c):(l=!1,m=!0);for(let B=c+1;B<this.rows;B++)this.get(u,B)!==0&&(l=!1);u++}return l}echelonForm(){let u=this.clone(),c=0,i=0;for(;c<u.rows&&i<u.columns;){let l=c;for(let m=c;m<u.rows;m++)u.get(m,i)>u.get(l,i)&&(l=m);if(u.get(l,i)===0)i++;else{u.swapRows(c,l);let m=u.get(c,i);for(let B=i;B<u.columns;B++)u.set(c,B,u.get(c,B)/m);for(let B=c+1;B<u.rows;B++){let U=u.get(B,i)/u.get(c,i);u.set(B,i,0);for(let V=i+1;V<u.columns;V++)u.set(B,V,u.get(B,V)-u.get(c,V)*U)}c++,i++}}return u}reducedEchelonForm(){let u=this.echelonForm(),c=u.columns,i=u.rows,l=i-1;for(;l>=0;)if(u.maxRow(l)===0)l--;else{let m=0,B=!1;for(;m<i&&B===!1;)u.get(l,m)===1?B=!0:m++;for(let U=0;U<l;U++){let V=u.get(U,m);for(let G=m;G<c;G++){let rt=u.get(U,G)-V*u.get(l,G);u.set(U,G,rt)}}l--}return u}set(){throw new Error("set method is unimplemented")}get(){throw new Error("get method is unimplemented")}repeat(u={}){if(typeof u!="object")throw new TypeError("options must be an object");const{rows:c=1,columns:i=1}=u;if(!Number.isInteger(c)||c<=0)throw new TypeError("rows must be a positive integer");if(!Number.isInteger(i)||i<=0)throw new TypeError("columns must be a positive integer");let l=new It(this.rows*c,this.columns*i);for(let m=0;m<c;m++)for(let B=0;B<i;B++)l.setSubMatrix(this,this.rows*m,this.columns*B);return l}fill(u){for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,u);return this}neg(){return this.mulS(-1)}getRow(u){xt(this,u);let c=[];for(let i=0;i<this.columns;i++)c.push(this.get(u,i));return c}getRowVector(u){return It.rowVector(this.getRow(u))}setRow(u,c){xt(this,u),c=Nt(this,c);for(let i=0;i<this.columns;i++)this.set(u,i,c[i]);return this}swapRows(u,c){xt(this,u),xt(this,c);for(let i=0;i<this.columns;i++){let l=this.get(u,i);this.set(u,i,this.get(c,i)),this.set(c,i,l)}return this}getColumn(u){yt(this,u);let c=[];for(let i=0;i<this.rows;i++)c.push(this.get(i,u));return c}getColumnVector(u){return It.columnVector(this.getColumn(u))}setColumn(u,c){yt(this,u),c=Ot(this,c);for(let i=0;i<this.rows;i++)this.set(i,u,c[i]);return this}swapColumns(u,c){yt(this,u),yt(this,c);for(let i=0;i<this.rows;i++){let l=this.get(i,u);this.set(i,u,this.get(i,c)),this.set(i,c,l)}return this}addRowVector(u){u=Nt(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)+u[i]);return this}subRowVector(u){u=Nt(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)-u[i]);return this}mulRowVector(u){u=Nt(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)*u[i]);return this}divRowVector(u){u=Nt(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)/u[i]);return this}addColumnVector(u){u=Ot(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)+u[c]);return this}subColumnVector(u){u=Ot(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)-u[c]);return this}mulColumnVector(u){u=Ot(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)*u[c]);return this}divColumnVector(u){u=Ot(this,u);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)this.set(c,i,this.get(c,i)/u[c]);return this}mulRow(u,c){xt(this,u);for(let i=0;i<this.columns;i++)this.set(u,i,this.get(u,i)*c);return this}mulColumn(u,c){yt(this,u);for(let i=0;i<this.rows;i++)this.set(i,u,this.get(i,u)*c);return this}max(u){if(this.isEmpty())return NaN;switch(u){case"row":{const c=new Array(this.rows).fill(Number.NEGATIVE_INFINITY);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)>c[i]&&(c[i]=this.get(i,l));return c}case"column":{const c=new Array(this.columns).fill(Number.NEGATIVE_INFINITY);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)>c[l]&&(c[l]=this.get(i,l));return c}case void 0:{let c=this.get(0,0);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)>c&&(c=this.get(i,l));return c}default:throw new Error(`invalid option: ${u}`)}}maxIndex(){Ye(this);let u=this.get(0,0),c=[0,0];for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)>u&&(u=this.get(i,l),c[0]=i,c[1]=l);return c}min(u){if(this.isEmpty())return NaN;switch(u){case"row":{const c=new Array(this.rows).fill(Number.POSITIVE_INFINITY);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)<c[i]&&(c[i]=this.get(i,l));return c}case"column":{const c=new Array(this.columns).fill(Number.POSITIVE_INFINITY);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)<c[l]&&(c[l]=this.get(i,l));return c}case void 0:{let c=this.get(0,0);for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)<c&&(c=this.get(i,l));return c}default:throw new Error(`invalid option: ${u}`)}}minIndex(){Ye(this);let u=this.get(0,0),c=[0,0];for(let i=0;i<this.rows;i++)for(let l=0;l<this.columns;l++)this.get(i,l)<u&&(u=this.get(i,l),c[0]=i,c[1]=l);return c}maxRow(u){if(xt(this,u),this.isEmpty())return NaN;let c=this.get(u,0);for(let i=1;i<this.columns;i++)this.get(u,i)>c&&(c=this.get(u,i));return c}maxRowIndex(u){xt(this,u),Ye(this);let c=this.get(u,0),i=[u,0];for(let l=1;l<this.columns;l++)this.get(u,l)>c&&(c=this.get(u,l),i[1]=l);return i}minRow(u){if(xt(this,u),this.isEmpty())return NaN;let c=this.get(u,0);for(let i=1;i<this.columns;i++)this.get(u,i)<c&&(c=this.get(u,i));return c}minRowIndex(u){xt(this,u),Ye(this);let c=this.get(u,0),i=[u,0];for(let l=1;l<this.columns;l++)this.get(u,l)<c&&(c=this.get(u,l),i[1]=l);return i}maxColumn(u){if(yt(this,u),this.isEmpty())return NaN;let c=this.get(0,u);for(let i=1;i<this.rows;i++)this.get(i,u)>c&&(c=this.get(i,u));return c}maxColumnIndex(u){yt(this,u),Ye(this);let c=this.get(0,u),i=[0,u];for(let l=1;l<this.rows;l++)this.get(l,u)>c&&(c=this.get(l,u),i[0]=l);return i}minColumn(u){if(yt(this,u),this.isEmpty())return NaN;let c=this.get(0,u);for(let i=1;i<this.rows;i++)this.get(i,u)<c&&(c=this.get(i,u));return c}minColumnIndex(u){yt(this,u),Ye(this);let c=this.get(0,u),i=[0,u];for(let l=1;l<this.rows;l++)this.get(l,u)<c&&(c=this.get(l,u),i[0]=l);return i}diag(){let u=Math.min(this.rows,this.columns),c=[];for(let i=0;i<u;i++)c.push(this.get(i,i));return c}norm(u="frobenius"){switch(u){case"max":return this.max();case"frobenius":return Math.sqrt(this.dot(this));default:throw new RangeError(`unknown norm type: ${u}`)}}cumulativeSum(){let u=0;for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)u+=this.get(c,i),this.set(c,i,u);return this}dot(u){Wt.isMatrix(u)&&(u=u.to1DArray());let c=this.to1DArray();if(c.length!==u.length)throw new RangeError("vectors do not have the same size");let i=0;for(let l=0;l<c.length;l++)i+=c[l]*u[l];return i}mmul(u){u=It.checkMatrix(u);let c=this.rows,i=this.columns,l=u.columns,m=new It(c,l),B=new Float64Array(i);for(let U=0;U<l;U++){for(let V=0;V<i;V++)B[V]=u.get(V,U);for(let V=0;V<c;V++){let G=0;for(let rt=0;rt<i;rt++)G+=this.get(V,rt)*B[rt];m.set(V,U,G)}}return m}mpow(u){if(!this.isSquare())throw new RangeError("Matrix must be square");if(!Number.isInteger(u)||u<0)throw new RangeError("Exponent must be a non-negative integer");let c=It.eye(this.rows),i=this;for(let l=u;l>1;l/=2)l&1&&(c=c.mmul(i)),i=i.mmul(i);return c}strassen2x2(u){u=It.checkMatrix(u);let c=new It(2,2);const i=this.get(0,0),l=u.get(0,0),m=this.get(0,1),B=u.get(0,1),U=this.get(1,0),V=u.get(1,0),G=this.get(1,1),rt=u.get(1,1),K=(i+G)*(l+rt),lt=(U+G)*l,Tt=i*(B-rt),ct=G*(V-l),pt=(i+m)*rt,Rt=(U-i)*(l+B),Z=(m-G)*(V+rt),St=K+ct-pt+Z,Ct=Tt+pt,Xt=lt+ct,Zt=K-lt+Tt+Rt;return c.set(0,0,St),c.set(0,1,Ct),c.set(1,0,Xt),c.set(1,1,Zt),c}strassen3x3(u){u=It.checkMatrix(u);let c=new It(3,3);const i=this.get(0,0),l=this.get(0,1),m=this.get(0,2),B=this.get(1,0),U=this.get(1,1),V=this.get(1,2),G=this.get(2,0),rt=this.get(2,1),K=this.get(2,2),lt=u.get(0,0),Tt=u.get(0,1),ct=u.get(0,2),pt=u.get(1,0),Rt=u.get(1,1),Z=u.get(1,2),St=u.get(2,0),Ct=u.get(2,1),Xt=u.get(2,2),Zt=(i+l+m-B-U-rt-K)*Rt,ge=(i-B)*(-Tt+Rt),Ut=U*(-lt+Tt+pt-Rt-Z-St+Xt),Yt=(-i+B+U)*(lt-Tt+Rt),ce=(B+U)*(-lt+Tt),tt=i*lt,wt=(-i+G+rt)*(lt-ct+Z),Lt=(-i+G)*(ct-Z),Mt=(G+rt)*(-lt+ct),we=(i+l+m-U-V-G-rt)*Z,ae=rt*(-lt+ct+pt-Rt-Z-St+Ct),fe=(-m+rt+K)*(Rt+St-Ct),pe=(m-K)*(Rt-Ct),Re=m*St,_e=(rt+K)*(-St+Ct),Se=(-m+U+V)*(Z+St-Xt),Je=(m-V)*(Z-Xt),Qe=(U+V)*(-St+Xt),te=l*pt,Le=V*Ct,Ue=B*ct,Ve=G*Tt,Oe=K*Xt,xr=tt+Re+te,Er=Zt+Yt+ce+tt+fe+Re+_e,Hn=tt+wt+Mt+we+Re+Se+Qe,br=ge+Ut+Yt+tt+Re+Se+Je,qn=ge+Yt+ce+tt+Le,Nr=Re+Se+Je+Qe+Ue,Mr=tt+wt+Lt+ae+fe+pe+Re,Sr=fe+pe+Re+_e+Ve,tr=tt+wt+Lt+Mt+Oe;return c.set(0,0,xr),c.set(0,1,Er),c.set(0,2,Hn),c.set(1,0,br),c.set(1,1,qn),c.set(1,2,Nr),c.set(2,0,Mr),c.set(2,1,Sr),c.set(2,2,tr),c}mmulStrassen(u){u=It.checkMatrix(u);let c=this.clone(),i=c.rows,l=c.columns,m=u.rows,B=u.columns;l!==m&&console.warn(`Multiplying ${i} x ${l} and ${m} x ${B} matrix: dimensions do not match.`);function U(K,lt,Tt){let ct=K.rows,pt=K.columns;if(ct===lt&&pt===Tt)return K;{let Rt=Wt.zeros(lt,Tt);return Rt=Rt.setSubMatrix(K,0,0),Rt}}let V=Math.max(i,m),G=Math.max(l,B);c=U(c,V,G),u=U(u,V,G);function rt(K,lt,Tt,ct){if(Tt<=512||ct<=512)return K.mmul(lt);Tt%2===1&&ct%2===1?(K=U(K,Tt+1,ct+1),lt=U(lt,Tt+1,ct+1)):Tt%2===1?(K=U(K,Tt+1,ct),lt=U(lt,Tt+1,ct)):ct%2===1&&(K=U(K,Tt,ct+1),lt=U(lt,Tt,ct+1));let pt=parseInt(K.rows/2,10),Rt=parseInt(K.columns/2,10),Z=K.subMatrix(0,pt-1,0,Rt-1),St=lt.subMatrix(0,pt-1,0,Rt-1),Ct=K.subMatrix(0,pt-1,Rt,K.columns-1),Xt=lt.subMatrix(0,pt-1,Rt,lt.columns-1),Zt=K.subMatrix(pt,K.rows-1,0,Rt-1),ge=lt.subMatrix(pt,lt.rows-1,0,Rt-1),Ut=K.subMatrix(pt,K.rows-1,Rt,K.columns-1),Yt=lt.subMatrix(pt,lt.rows-1,Rt,lt.columns-1),ce=rt(Wt.add(Z,Ut),Wt.add(St,Yt),pt,Rt),tt=rt(Wt.add(Zt,Ut),St,pt,Rt),wt=rt(Z,Wt.sub(Xt,Yt),pt,Rt),Lt=rt(Ut,Wt.sub(ge,St),pt,Rt),Mt=rt(Wt.add(Z,Ct),Yt,pt,Rt),we=rt(Wt.sub(Zt,Z),Wt.add(St,Xt),pt,Rt),ae=rt(Wt.sub(Ct,Ut),Wt.add(ge,Yt),pt,Rt),fe=Wt.add(ce,Lt);fe.sub(Mt),fe.add(ae);let pe=Wt.add(wt,Mt),Re=Wt.add(tt,Lt),_e=Wt.sub(ce,tt);_e.add(wt),_e.add(we);let Se=Wt.zeros(2*fe.rows,2*fe.columns);return Se=Se.setSubMatrix(fe,0,0),Se=Se.setSubMatrix(pe,fe.rows,0),Se=Se.setSubMatrix(Re,0,fe.columns),Se=Se.setSubMatrix(_e,fe.rows,fe.columns),Se.subMatrix(0,Tt-1,0,ct-1)}return rt(c,u,V,G)}scaleRows(u={}){if(typeof u!="object")throw new TypeError("options must be an object");const{min:c=0,max:i=1}=u;if(!Number.isFinite(c))throw new TypeError("min must be a number");if(!Number.isFinite(i))throw new TypeError("max must be a number");if(c>=i)throw new RangeError("min must be smaller than max");let l=new It(this.rows,this.columns);for(let m=0;m<this.rows;m++){const B=this.getRow(m);B.length>0&&nt(B,{min:c,max:i,output:B}),l.setRow(m,B)}return l}scaleColumns(u={}){if(typeof u!="object")throw new TypeError("options must be an object");const{min:c=0,max:i=1}=u;if(!Number.isFinite(c))throw new TypeError("min must be a number");if(!Number.isFinite(i))throw new TypeError("max must be a number");if(c>=i)throw new RangeError("min must be smaller than max");let l=new It(this.rows,this.columns);for(let m=0;m<this.columns;m++){const B=this.getColumn(m);B.length&&nt(B,{min:c,max:i,output:B}),l.setColumn(m,B)}return l}flipRows(){const u=Math.ceil(this.columns/2);for(let c=0;c<this.rows;c++)for(let i=0;i<u;i++){let l=this.get(c,i),m=this.get(c,this.columns-1-i);this.set(c,i,m),this.set(c,this.columns-1-i,l)}return this}flipColumns(){const u=Math.ceil(this.rows/2);for(let c=0;c<this.columns;c++)for(let i=0;i<u;i++){let l=this.get(i,c),m=this.get(this.rows-1-i,c);this.set(i,c,m),this.set(this.rows-1-i,c,l)}return this}kroneckerProduct(u){u=It.checkMatrix(u);let c=this.rows,i=this.columns,l=u.rows,m=u.columns,B=new It(c*l,i*m);for(let U=0;U<c;U++)for(let V=0;V<i;V++)for(let G=0;G<l;G++)for(let rt=0;rt<m;rt++)B.set(l*U+G,m*V+rt,this.get(U,V)*u.get(G,rt));return B}kroneckerSum(u){if(u=It.checkMatrix(u),!this.isSquare()||!u.isSquare())throw new Error("Kronecker Sum needs two Square Matrices");let c=this.rows,i=u.rows,l=this.kroneckerProduct(It.eye(i,i)),m=It.eye(c,c).kroneckerProduct(u);return l.add(m)}transpose(){let u=new It(this.columns,this.rows);for(let c=0;c<this.rows;c++)for(let i=0;i<this.columns;i++)u.set(i,c,this.get(c,i));return u}sortRows(u=re){for(let c=0;c<this.rows;c++)this.setRow(c,this.getRow(c).sort(u));return this}sortColumns(u=re){for(let c=0;c<this.columns;c++)this.setColumn(c,this.getColumn(c).sort(u));return this}subMatrix(u,c,i,l){Ht(this,u,c,i,l);let m=new It(c-u+1,l-i+1);for(let B=u;B<=c;B++)for(let U=i;U<=l;U++)m.set(B-u,U-i,this.get(B,U));return m}subMatrixRow(u,c,i){if(c===void 0&&(c=0),i===void 0&&(i=this.columns-1),c>i||c<0||c>=this.columns||i<0||i>=this.columns)throw new RangeError("Argument out of range");let l=new It(u.length,i-c+1);for(let m=0;m<u.length;m++)for(let B=c;B<=i;B++){if(u[m]<0||u[m]>=this.rows)throw new RangeError(`Row index out of range: ${u[m]}`);l.set(m,B-c,this.get(u[m],B))}return l}subMatrixColumn(u,c,i){if(c===void 0&&(c=0),i===void 0&&(i=this.rows-1),c>i||c<0||c>=this.rows||i<0||i>=this.rows)throw new RangeError("Argument out of range");let l=new It(i-c+1,u.length);for(let m=0;m<u.length;m++)for(let B=c;B<=i;B++){if(u[m]<0||u[m]>=this.columns)throw new RangeError(`Column index out of range: ${u[m]}`);l.set(B-c,m,this.get(B,u[m]))}return l}setSubMatrix(u,c,i){if(u=It.checkMatrix(u),u.isEmpty())return this;let l=c+u.rows-1,m=i+u.columns-1;Ht(this,c,l,i,m);for(let B=0;B<u.rows;B++)for(let U=0;U<u.columns;U++)this.set(c+B,i+U,u.get(B,U));return this}selection(u,c){kt(this,u),Vt(this,c);let i=new It(u.length,c.length);for(let l=0;l<u.length;l++){let m=u[l];for(let B=0;B<c.length;B++){let U=c[B];i.set(l,B,this.get(m,U))}}return i}trace(){let u=Math.min(this.rows,this.columns),c=0;for(let i=0;i<u;i++)c+=this.get(i,i);return c}clone(){return this.constructor.copy(this,new It(this.rows,this.columns))}static copy(u,c){for(const[i,l,m]of u.entries())c.set(i,l,m);return c}sum(u){switch(u){case"row":return tn(this);case"column":return bn(this);case void 0:return Nn(this);default:throw new Error(`invalid option: ${u}`)}}product(u){switch(u){case"row":return an(this);case"column":return Ze(this);case void 0:return sn(this);default:throw new Error(`invalid option: ${u}`)}}mean(u){const c=this.sum(u);switch(u){case"row":{for(let i=0;i<this.rows;i++)c[i]/=this.columns;return c}case"column":{for(let i=0;i<this.columns;i++)c[i]/=this.rows;return c}case void 0:return c/this.size;default:throw new Error(`invalid option: ${u}`)}}variance(u,c={}){if(typeof u=="object"&&(c=u,u=void 0),typeof c!="object")throw new TypeError("options must be an object");const{unbiased:i=!0,mean:l=this.mean(u)}=c;if(typeof i!="boolean")throw new TypeError("unbiased must be a boolean");switch(u){case"row":{if(!ot.isAnyArray(l))throw new TypeError("mean must be an array");return gt(this,i,l)}case"column":{if(!ot.isAnyArray(l))throw new TypeError("mean must be an array");return vt(this,i,l)}case void 0:{if(typeof l!="number")throw new TypeError("mean must be a number");return At(this,i,l)}default:throw new Error(`invalid option: ${u}`)}}standardDeviation(u,c){typeof u=="object"&&(c=u,u=void 0);const i=this.variance(u,c);if(u===void 0)return Math.sqrt(i);for(let l=0;l<i.length;l++)i[l]=Math.sqrt(i[l]);return i}center(u,c={}){if(typeof u=="object"&&(c=u,u=void 0),typeof c!="object")throw new TypeError("options must be an object");const{center:i=this.mean(u)}=c;switch(u){case"row":{if(!ot.isAnyArray(i))throw new TypeError("center must be an array");return Ft(this,i),this}case"column":{if(!ot.isAnyArray(i))throw new TypeError("center must be an array");return qt(this,i),this}case void 0:{if(typeof i!="number")throw new TypeError("center must be a number");return ue(this,i),this}default:throw new Error(`invalid option: ${u}`)}}scale(u,c={}){if(typeof u=="object"&&(c=u,u=void 0),typeof c!="object")throw new TypeError("options must be an object");let i=c.scale;switch(u){case"row":{if(i===void 0)i=he(this);else if(!ot.isAnyArray(i))throw new TypeError("scale must be an array");return Ie(this,i),this}case"column":{if(i===void 0)i=pn(this);else if(!ot.isAnyArray(i))throw new TypeError("scale must be an array");return De(this,i),this}case void 0:{if(i===void 0)i=Me(this);else if(typeof i!="number")throw new TypeError("scale must be a number");return se(this,i),this}default:throw new Error(`invalid option: ${u}`)}}toString(u){return it(this,u)}[Symbol.iterator](){return this.entries()}*entries(){for(let u=0;u<this.rows;u++)for(let c=0;c<this.columns;c++)yield[u,c,this.get(u,c)]}*values(){for(let u=0;u<this.rows;u++)for(let c=0;c<this.columns;c++)yield this.get(u,c)}}Wt.prototype.klass="Matrix",typeof Symbol!="undefined"&&(Wt.prototype[Symbol.for("nodejs.util.inspect.custom")]=H);function re(T,u){return T-u}function en(T){return T.every(u=>typeof u=="number")}Wt.random=Wt.rand,Wt.randomInt=Wt.randInt,Wt.diagonal=Wt.diag,Wt.prototype.diagonal=Wt.prototype.diag,Wt.identity=Wt.eye,Wt.prototype.negate=Wt.prototype.neg,Wt.prototype.tensorProduct=Wt.prototype.kroneckerProduct;const on=class Zr extends Wt{constructor(u,c){if(super(),A(this,D),N(this,"data"),Zr.isMatrix(u))j(this,D,Y).call(this,u.rows,u.columns),Zr.copy(u,this);else if(Number.isInteger(u)&&u>=0)j(this,D,Y).call(this,u,c);else if(ot.isAnyArray(u)){const i=u;if(u=i.length,c=u?i[0].length:0,typeof c!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let l=0;l<u;l++){if(i[l].length!==c)throw new RangeError("Inconsistent array dimensions");if(!en(i[l]))throw new TypeError("Input data contains non-numeric values");this.data.push(Float64Array.from(i[l]))}this.rows=u,this.columns=c}else throw new TypeError("First argument must be a positive number or an array")}set(u,c,i){return this.data[u][c]=i,this}get(u,c){return this.data[u][c]}removeRow(u){return xt(this,u),this.data.splice(u,1),this.rows-=1,this}addRow(u,c){return c===void 0&&(c=u,u=this.rows),xt(this,u,!0),c=Float64Array.from(Nt(this,c)),this.data.splice(u,0,c),this.rows+=1,this}removeColumn(u){yt(this,u);for(let c=0;c<this.rows;c++){const i=new Float64Array(this.columns-1);for(let l=0;l<u;l++)i[l]=this.data[c][l];for(let l=u+1;l<this.columns;l++)i[l-1]=this.data[c][l];this.data[c]=i}return this.columns-=1,this}addColumn(u,c){typeof c=="undefined"&&(c=u,u=this.columns),yt(this,u,!0),c=Ot(this,c);for(let i=0;i<this.rows;i++){const l=new Float64Array(this.columns+1);let m=0;for(;m<u;m++)l[m]=this.data[i][m];for(l[m++]=c[i];m<this.columns+1;m++)l[m]=this.data[i][m-1];this.data[i]=l}return this.columns+=1,this}};D=new WeakSet,Y=function(T,u){if(this.data=[],Number.isInteger(u)&&u>=0)for(let c=0;c<T;c++)this.data.push(new Float64Array(u));else throw new TypeError("nColumns must be a positive integer");this.rows=T,this.columns=u};let It=on;dt(Wt,It);const un=class Jr extends Wt{constructor(u){if(super(),A(this,_),It.isMatrix(u)){if(!u.isSymmetric())throw new TypeError("not symmetric data");I(this,_,It.copy(u,new It(u.rows,u.rows)))}else if(Number.isInteger(u)&&u>=0)I(this,_,new It(u,u));else if(I(this,_,new It(u)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return M(this,_).size}get rows(){return M(this,_).rows}get columns(){return M(this,_).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(u){return It.isMatrix(u)&&u.klassType==="SymmetricMatrix"}static zeros(u){return new this(u)}static ones(u){return new this(u).fill(1)}clone(){const u=new Jr(this.diagonalSize);for(const[c,i,l]of this.upperRightEntries())u.set(c,i,l);return u}toMatrix(){return new It(this)}get(u,c){return M(this,_).get(u,c)}set(u,c,i){return M(this,_).set(u,c,i),M(this,_).set(c,u,i),this}removeCross(u){return M(this,_).removeRow(u),M(this,_).removeColumn(u),this}addCross(u,c){c===void 0&&(c=u,u=this.diagonalSize);const i=c.slice();return i.splice(u,1),M(this,_).addRow(u,i),M(this,_).addColumn(u,c),this}applyMask(u){if(u.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const c=[];for(const[i,l]of u.entries())l||c.push(i);c.reverse();for(const i of c)this.removeCross(i);return this}toCompact(){const{diagonalSize:u}=this,c=new Array(u*(u+1)/2);for(let i=0,l=0,m=0;m<c.length;m++)c[m]=this.get(l,i),++i>=u&&(i=++l);return c}static fromCompact(u){const c=u.length,i=(Math.sqrt(8*c+1)-1)/2;if(!Number.isInteger(i))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(u)}`);const l=new Jr(i);for(let m=0,B=0,U=0;U<c;U++)l.set(m,B,u[U]),++m>=i&&(m=++B);return l}*upperRightEntries(){for(let u=0,c=0;u<this.diagonalSize;void 0){const i=this.get(u,c);yield[u,c,i],++c>=this.diagonalSize&&(c=++u)}}*upperRightValues(){for(let u=0,c=0;u<this.diagonalSize;void 0)yield this.get(u,c),++c>=this.diagonalSize&&(c=++u)}};_=new WeakMap;let Pe=un;Pe.prototype.klassType="SymmetricMatrix";class xe extends Pe{static isDistanceMatrix(u){return Pe.isSymmetricMatrix(u)&&u.klassSubType==="DistanceMatrix"}constructor(u){if(super(u),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(u,c,i){return u===c&&(i=0),super.set(u,c,i)}addCross(u,c){return c===void 0&&(c=u,u=this.diagonalSize),c=c.slice(),c[u]=0,super.addCross(u,c)}toSymmetricMatrix(){return new Pe(this)}clone(){const u=new xe(this.diagonalSize);for(const[c,i,l]of this.upperRightEntries())c!==i&&u.set(c,i,l);return u}toCompact(){const{diagonalSize:u}=this,c=(u-1)*u/2,i=new Array(c);for(let l=1,m=0,B=0;B<i.length;B++)i[B]=this.get(m,l),++l>=u&&(l=++m+1);return i}static fromCompact(u){const c=u.length;if(c===0)return new this(0);const i=(Math.sqrt(8*c+1)+1)/2;if(!Number.isInteger(i))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(u)}`);const l=new this(i);for(let m=1,B=0,U=0;U<c;U++)l.set(m,B,u[U]),++m>=i&&(m=++B+1);return l}}xe.prototype.klassSubType="DistanceMatrix";class ke extends Wt{constructor(u,c,i){super(),this.matrix=u,this.rows=c,this.columns=i}}class vn extends ke{constructor(u,c){yt(u,c),super(u,u.rows,1),this.column=c}set(u,c,i){return this.matrix.set(u,this.column,i),this}get(u){return this.matrix.get(u,this.column)}}class Mn extends ke{constructor(u,c){Vt(u,c),super(u,u.rows,c.length),this.columnIndices=c}set(u,c,i){return this.matrix.set(u,this.columnIndices[c],i),this}get(u,c){return this.matrix.get(u,this.columnIndices[c])}}class In extends ke{constructor(u){super(u,u.rows,u.columns)}set(u,c,i){return this.matrix.set(u,this.columns-c-1,i),this}get(u,c){return this.matrix.get(u,this.columns-c-1)}}class nn extends ke{constructor(u){super(u,u.rows,u.columns)}set(u,c,i){return this.matrix.set(this.rows-u-1,c,i),this}get(u,c){return this.matrix.get(this.rows-u-1,c)}}class Sn extends ke{constructor(u,c){xt(u,c),super(u,1,u.columns),this.row=c}set(u,c,i){return this.matrix.set(this.row,c,i),this}get(u,c){return this.matrix.get(this.row,c)}}class Pn extends ke{constructor(u,c){kt(u,c),super(u,c.length,u.columns),this.rowIndices=c}set(u,c,i){return this.matrix.set(this.rowIndices[u],c,i),this}get(u,c){return this.matrix.get(this.rowIndices[u],c)}}class mn extends ke{constructor(u,c,i){kt(u,c),Vt(u,i),super(u,c.length,i.length),this.rowIndices=c,this.columnIndices=i}set(u,c,i){return this.matrix.set(this.rowIndices[u],this.columnIndices[c],i),this}get(u,c){return this.matrix.get(this.rowIndices[u],this.columnIndices[c])}}class Bn extends ke{constructor(u,c,i,l,m){Ht(u,c,i,l,m),super(u,i-c+1,m-l+1),this.startRow=c,this.startColumn=l}set(u,c,i){return this.matrix.set(this.startRow+u,this.startColumn+c,i),this}get(u,c){return this.matrix.get(this.startRow+u,this.startColumn+c)}}class Be extends ke{constructor(u){super(u,u.columns,u.rows)}set(u,c,i){return this.matrix.set(c,u,i),this}get(u,c){return this.matrix.get(c,u)}}class ze extends Wt{constructor(u,c={}){const{rows:i=1}=c;if(u.length%i!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=i,this.columns=u.length/i,this.data=u}set(u,c,i){let l=this._calculateIndex(u,c);return this.data[l]=i,this}get(u,c){let i=this._calculateIndex(u,c);return this.data[i]}_calculateIndex(u,c){return u*this.columns+c}}class Ae extends Wt{constructor(u){super(),this.data=u,this.rows=u.length,this.columns=u[0].length}set(u,c,i){return this.data[u][c]=i,this}get(u,c){return this.data[u][c]}}function fr(T,u){if(ot.isAnyArray(T))return T[0]&&ot.isAnyArray(T[0])?new Ae(T):new ze(T,u);throw new Error("the argument is not an array")}class _t{constructor(u){u=Ae.checkMatrix(u);let c=u.clone(),i=c.rows,l=c.columns,m=new Float64Array(i),B=1,U,V,G,rt,K,lt,Tt,ct,pt;for(U=0;U<i;U++)m[U]=U;for(ct=new Float64Array(i),V=0;V<l;V++){for(U=0;U<i;U++)ct[U]=c.get(U,V);for(U=0;U<i;U++){for(pt=Math.min(U,V),K=0,G=0;G<pt;G++)K+=c.get(U,G)*ct[G];ct[U]-=K,c.set(U,V,ct[U])}for(rt=V,U=V+1;U<i;U++)Math.abs(ct[U])>Math.abs(ct[rt])&&(rt=U);if(rt!==V){for(G=0;G<l;G++)lt=c.get(rt,G),c.set(rt,G,c.get(V,G)),c.set(V,G,lt);Tt=m[rt],m[rt]=m[V],m[V]=Tt,B=-B}if(V<i&&c.get(V,V)!==0)for(U=V+1;U<i;U++)c.set(U,V,c.get(U,V)/c.get(V,V))}this.LU=c,this.pivotVector=m,this.pivotSign=B}isSingular(){let u=this.LU,c=u.columns;for(let i=0;i<c;i++)if(u.get(i,i)===0)return!0;return!1}solve(u){u=It.checkMatrix(u);let c=this.LU;if(c.rows!==u.rows)throw new Error("Invalid matrix dimensions");if(this.isSingular())throw new Error("LU matrix is singular");let l=u.columns,m=u.subMatrixRow(this.pivotVector,0,l-1),B=c.columns,U,V,G;for(G=0;G<B;G++)for(U=G+1;U<B;U++)for(V=0;V<l;V++)m.set(U,V,m.get(U,V)-m.get(G,V)*c.get(U,G));for(G=B-1;G>=0;G--){for(V=0;V<l;V++)m.set(G,V,m.get(G,V)/c.get(G,G));for(U=0;U<G;U++)for(V=0;V<l;V++)m.set(U,V,m.get(U,V)-m.get(G,V)*c.get(U,G))}return m}get determinant(){let u=this.LU;if(!u.isSquare())throw new Error("Matrix must be square");let c=this.pivotSign,i=u.columns;for(let l=0;l<i;l++)c*=u.get(l,l);return c}get lowerTriangularMatrix(){let u=this.LU,c=u.rows,i=u.columns,l=new It(c,i);for(let m=0;m<c;m++)for(let B=0;B<i;B++)m>B?l.set(m,B,u.get(m,B)):m===B?l.set(m,B,1):l.set(m,B,0);return l}get upperTriangularMatrix(){let u=this.LU,c=u.rows,i=u.columns,l=new It(c,i);for(let m=0;m<c;m++)for(let B=0;B<i;B++)m<=B?l.set(m,B,u.get(m,B)):l.set(m,B,0);return l}get pivotPermutationVector(){return Array.from(this.pivotVector)}}function rn(T,u){let c=0;return Math.abs(T)>Math.abs(u)?(c=u/T,Math.abs(T)*Math.sqrt(1+c*c)):u!==0?(c=T/u,Math.abs(u)*Math.sqrt(1+c*c)):0}class Un{constructor(u){u=Ae.checkMatrix(u);let c=u.clone(),i=u.rows,l=u.columns,m=new Float64Array(l),B,U,V,G;for(V=0;V<l;V++){let rt=0;for(B=V;B<i;B++)rt=rn(rt,c.get(B,V));if(rt!==0){for(c.get(V,V)<0&&(rt=-rt),B=V;B<i;B++)c.set(B,V,c.get(B,V)/rt);for(c.set(V,V,c.get(V,V)+1),U=V+1;U<l;U++){for(G=0,B=V;B<i;B++)G+=c.get(B,V)*c.get(B,U);for(G=-G/c.get(V,V),B=V;B<i;B++)c.set(B,U,c.get(B,U)+G*c.get(B,V))}}m[V]=-rt}this.QR=c,this.Rdiag=m}solve(u){u=It.checkMatrix(u);let c=this.QR,i=c.rows;if(u.rows!==i)throw new Error("Matrix row dimensions must agree");if(!this.isFullRank())throw new Error("Matrix is rank deficient");let l=u.columns,m=u.clone(),B=c.columns,U,V,G,rt;for(G=0;G<B;G++)for(V=0;V<l;V++){for(rt=0,U=G;U<i;U++)rt+=c.get(U,G)*m.get(U,V);for(rt=-rt/c.get(G,G),U=G;U<i;U++)m.set(U,V,m.get(U,V)+rt*c.get(U,G))}for(G=B-1;G>=0;G--){for(V=0;V<l;V++)m.set(G,V,m.get(G,V)/this.Rdiag[G]);for(U=0;U<G;U++)for(V=0;V<l;V++)m.set(U,V,m.get(U,V)-m.get(G,V)*c.get(U,G))}return m.subMatrix(0,B-1,0,l-1)}isFullRank(){let u=this.QR.columns;for(let c=0;c<u;c++)if(this.Rdiag[c]===0)return!1;return!0}get upperTriangularMatrix(){let u=this.QR,c=u.columns,i=new It(c,c),l,m;for(l=0;l<c;l++)for(m=0;m<c;m++)l<m?i.set(l,m,u.get(l,m)):l===m?i.set(l,m,this.Rdiag[l]):i.set(l,m,0);return i}get orthogonalMatrix(){let u=this.QR,c=u.rows,i=u.columns,l=new It(c,i),m,B,U,V;for(U=i-1;U>=0;U--){for(m=0;m<c;m++)l.set(m,U,0);for(l.set(U,U,1),B=U;B<i;B++)if(u.get(U,U)!==0){for(V=0,m=U;m<c;m++)V+=u.get(m,U)*l.get(m,B);for(V=-V/u.get(U,U),m=U;m<c;m++)l.set(m,B,l.get(m,B)+V*u.get(m,U))}}return l}}class cn{constructor(u,c={}){if(u=Ae.checkMatrix(u),u.isEmpty())throw new Error("Matrix must be non-empty");let i=u.rows,l=u.columns;const{computeLeftSingularVectors:m=!0,computeRightSingularVectors:B=!0,autoTranspose:U=!1}=c;let V=!!m,G=!!B,rt=!1,K;if(i<l)if(!U)K=u.clone(),console.warn("Computing SVD on a matrix with more columns than rows. Consider enabling autoTranspose");else{K=u.transpose(),i=K.rows,l=K.columns,rt=!0;let tt=V;V=G,G=tt}else K=u.clone();let lt=Math.min(i,l),Tt=Math.min(i+1,l),ct=new Float64Array(Tt),pt=new It(i,lt),Rt=new It(l,l),Z=new Float64Array(l),St=new Float64Array(i),Ct=new Float64Array(Tt);for(let tt=0;tt<Tt;tt++)Ct[tt]=tt;let Xt=Math.min(i-1,l),Zt=Math.max(0,Math.min(l-2,i)),ge=Math.max(Xt,Zt);for(let tt=0;tt<ge;tt++){if(tt<Xt){ct[tt]=0;for(let wt=tt;wt<i;wt++)ct[tt]=rn(ct[tt],K.get(wt,tt));if(ct[tt]!==0){K.get(tt,tt)<0&&(ct[tt]=-ct[tt]);for(let wt=tt;wt<i;wt++)K.set(wt,tt,K.get(wt,tt)/ct[tt]);K.set(tt,tt,K.get(tt,tt)+1)}ct[tt]=-ct[tt]}for(let wt=tt+1;wt<l;wt++){if(tt<Xt&&ct[tt]!==0){let Lt=0;for(let Mt=tt;Mt<i;Mt++)Lt+=K.get(Mt,tt)*K.get(Mt,wt);Lt=-Lt/K.get(tt,tt);for(let Mt=tt;Mt<i;Mt++)K.set(Mt,wt,K.get(Mt,wt)+Lt*K.get(Mt,tt))}Z[wt]=K.get(tt,wt)}if(V&&tt<Xt)for(let wt=tt;wt<i;wt++)pt.set(wt,tt,K.get(wt,tt));if(tt<Zt){Z[tt]=0;for(let wt=tt+1;wt<l;wt++)Z[tt]=rn(Z[tt],Z[wt]);if(Z[tt]!==0){Z[tt+1]<0&&(Z[tt]=0-Z[tt]);for(let wt=tt+1;wt<l;wt++)Z[wt]/=Z[tt];Z[tt+1]+=1}if(Z[tt]=-Z[tt],tt+1<i&&Z[tt]!==0){for(let wt=tt+1;wt<i;wt++)St[wt]=0;for(let wt=tt+1;wt<i;wt++)for(let Lt=tt+1;Lt<l;Lt++)St[wt]+=Z[Lt]*K.get(wt,Lt);for(let wt=tt+1;wt<l;wt++){let Lt=-Z[wt]/Z[tt+1];for(let Mt=tt+1;Mt<i;Mt++)K.set(Mt,wt,K.get(Mt,wt)+Lt*St[Mt])}}if(G)for(let wt=tt+1;wt<l;wt++)Rt.set(wt,tt,Z[wt])}}let Ut=Math.min(l,i+1);if(Xt<l&&(ct[Xt]=K.get(Xt,Xt)),i<Ut&&(ct[Ut-1]=0),Zt+1<Ut&&(Z[Zt]=K.get(Zt,Ut-1)),Z[Ut-1]=0,V){for(let tt=Xt;tt<lt;tt++){for(let wt=0;wt<i;wt++)pt.set(wt,tt,0);pt.set(tt,tt,1)}for(let tt=Xt-1;tt>=0;tt--)if(ct[tt]!==0){for(let wt=tt+1;wt<lt;wt++){let Lt=0;for(let Mt=tt;Mt<i;Mt++)Lt+=pt.get(Mt,tt)*pt.get(Mt,wt);Lt=-Lt/pt.get(tt,tt);for(let Mt=tt;Mt<i;Mt++)pt.set(Mt,wt,pt.get(Mt,wt)+Lt*pt.get(Mt,tt))}for(let wt=tt;wt<i;wt++)pt.set(wt,tt,-pt.get(wt,tt));pt.set(tt,tt,1+pt.get(tt,tt));for(let wt=0;wt<tt-1;wt++)pt.set(wt,tt,0)}else{for(let wt=0;wt<i;wt++)pt.set(wt,tt,0);pt.set(tt,tt,1)}}if(G)for(let tt=l-1;tt>=0;tt--){if(tt<Zt&&Z[tt]!==0)for(let wt=tt+1;wt<l;wt++){let Lt=0;for(let Mt=tt+1;Mt<l;Mt++)Lt+=Rt.get(Mt,tt)*Rt.get(Mt,wt);Lt=-Lt/Rt.get(tt+1,tt);for(let Mt=tt+1;Mt<l;Mt++)Rt.set(Mt,wt,Rt.get(Mt,wt)+Lt*Rt.get(Mt,tt))}for(let wt=0;wt<l;wt++)Rt.set(wt,tt,0);Rt.set(tt,tt,1)}let Yt=Ut-1,ce=Number.EPSILON;for(;Ut>0;){let tt,wt;for(tt=Ut-2;tt>=-1&&tt!==-1;tt--){const Lt=Number.MIN_VALUE+ce*Math.abs(ct[tt]+Math.abs(ct[tt+1]));if(Math.abs(Z[tt])<=Lt||Number.isNaN(Z[tt])){Z[tt]=0;break}}if(tt===Ut-2)wt=4;else{let Lt;for(Lt=Ut-1;Lt>=tt&&Lt!==tt;Lt--){let Mt=(Lt!==Ut?Math.abs(Z[Lt]):0)+(Lt!==tt+1?Math.abs(Z[Lt-1]):0);if(Math.abs(ct[Lt])<=ce*Mt){ct[Lt]=0;break}}Lt===tt?wt=3:Lt===Ut-1?wt=1:(wt=2,tt=Lt)}switch(tt++,wt){case 1:{let Lt=Z[Ut-2];Z[Ut-2]=0;for(let Mt=Ut-2;Mt>=tt;Mt--){let we=rn(ct[Mt],Lt),ae=ct[Mt]/we,fe=Lt/we;if(ct[Mt]=we,Mt!==tt&&(Lt=-fe*Z[Mt-1],Z[Mt-1]=ae*Z[Mt-1]),G)for(let pe=0;pe<l;pe++)we=ae*Rt.get(pe,Mt)+fe*Rt.get(pe,Ut-1),Rt.set(pe,Ut-1,-fe*Rt.get(pe,Mt)+ae*Rt.get(pe,Ut-1)),Rt.set(pe,Mt,we)}break}case 2:{let Lt=Z[tt-1];Z[tt-1]=0;for(let Mt=tt;Mt<Ut;Mt++){let we=rn(ct[Mt],Lt),ae=ct[Mt]/we,fe=Lt/we;if(ct[Mt]=we,Lt=-fe*Z[Mt],Z[Mt]=ae*Z[Mt],V)for(let pe=0;pe<i;pe++)we=ae*pt.get(pe,Mt)+fe*pt.get(pe,tt-1),pt.set(pe,tt-1,-fe*pt.get(pe,Mt)+ae*pt.get(pe,tt-1)),pt.set(pe,Mt,we)}break}case 3:{const Lt=Math.max(Math.abs(ct[Ut-1]),Math.abs(ct[Ut-2]),Math.abs(Z[Ut-2]),Math.abs(ct[tt]),Math.abs(Z[tt])),Mt=ct[Ut-1]/Lt,we=ct[Ut-2]/Lt,ae=Z[Ut-2]/Lt,fe=ct[tt]/Lt,pe=Z[tt]/Lt,Re=((we+Mt)*(we-Mt)+ae*ae)/2,_e=Mt*ae*(Mt*ae);let Se=0;(Re!==0||_e!==0)&&(Re<0?Se=0-Math.sqrt(Re*Re+_e):Se=Math.sqrt(Re*Re+_e),Se=_e/(Re+Se));let Je=(fe+Mt)*(fe-Mt)+Se,Qe=fe*pe;for(let te=tt;te<Ut-1;te++){let Le=rn(Je,Qe);Le===0&&(Le=Number.MIN_VALUE);let Ue=Je/Le,Ve=Qe/Le;if(te!==tt&&(Z[te-1]=Le),Je=Ue*ct[te]+Ve*Z[te],Z[te]=Ue*Z[te]-Ve*ct[te],Qe=Ve*ct[te+1],ct[te+1]=Ue*ct[te+1],G)for(let Oe=0;Oe<l;Oe++)Le=Ue*Rt.get(Oe,te)+Ve*Rt.get(Oe,te+1),Rt.set(Oe,te+1,-Ve*Rt.get(Oe,te)+Ue*Rt.get(Oe,te+1)),Rt.set(Oe,te,Le);if(Le=rn(Je,Qe),Le===0&&(Le=Number.MIN_VALUE),Ue=Je/Le,Ve=Qe/Le,ct[te]=Le,Je=Ue*Z[te]+Ve*ct[te+1],ct[te+1]=-Ve*Z[te]+Ue*ct[te+1],Qe=Ve*Z[te+1],Z[te+1]=Ue*Z[te+1],V&&te<i-1)for(let Oe=0;Oe<i;Oe++)Le=Ue*pt.get(Oe,te)+Ve*pt.get(Oe,te+1),pt.set(Oe,te+1,-Ve*pt.get(Oe,te)+Ue*pt.get(Oe,te+1)),pt.set(Oe,te,Le)}Z[Ut-2]=Je;break}case 4:{if(ct[tt]<=0&&(ct[tt]=ct[tt]<0?-ct[tt]:0,G))for(let Lt=0;Lt<=Yt;Lt++)Rt.set(Lt,tt,-Rt.get(Lt,tt));for(;tt<Yt&&!(ct[tt]>=ct[tt+1]);){let Lt=ct[tt];if(ct[tt]=ct[tt+1],ct[tt+1]=Lt,G&&tt<l-1)for(let Mt=0;Mt<l;Mt++)Lt=Rt.get(Mt,tt+1),Rt.set(Mt,tt+1,Rt.get(Mt,tt)),Rt.set(Mt,tt,Lt);if(V&&tt<i-1)for(let Mt=0;Mt<i;Mt++)Lt=pt.get(Mt,tt+1),pt.set(Mt,tt+1,pt.get(Mt,tt)),pt.set(Mt,tt,Lt);tt++}Ut--;break}}}if(rt){let tt=Rt;Rt=pt,pt=tt}this.m=i,this.n=l,this.s=ct,this.U=pt,this.V=Rt}solve(u){let c=u,i=this.threshold,l=this.s.length,m=It.zeros(l,l);for(let lt=0;lt<l;lt++)Math.abs(this.s[lt])<=i?m.set(lt,lt,0):m.set(lt,lt,1/this.s[lt]);let B=this.U,U=this.rightSingularVectors,V=U.mmul(m),G=U.rows,rt=B.rows,K=It.zeros(G,rt);for(let lt=0;lt<G;lt++)for(let Tt=0;Tt<rt;Tt++){let ct=0;for(let pt=0;pt<l;pt++)ct+=V.get(lt,pt)*B.get(Tt,pt);K.set(lt,Tt,ct)}return K.mmul(c)}solveForDiagonal(u){return this.solve(It.diag(u))}inverse(){let u=this.V,c=this.threshold,i=u.rows,l=u.columns,m=new It(i,this.s.length);for(let rt=0;rt<i;rt++)for(let K=0;K<l;K++)Math.abs(this.s[K])>c&&m.set(rt,K,u.get(rt,K)/this.s[K]);let B=this.U,U=B.rows,V=B.columns,G=new It(i,U);for(let rt=0;rt<i;rt++)for(let K=0;K<U;K++){let lt=0;for(let Tt=0;Tt<V;Tt++)lt+=m.get(rt,Tt)*B.get(K,Tt);G.set(rt,K,lt)}return G}get condition(){return this.s[0]/this.s[Math.min(this.m,this.n)-1]}get norm2(){return this.s[0]}get rank(){let u=Math.max(this.m,this.n)*this.s[0]*Number.EPSILON,c=0,i=this.s;for(let l=0,m=i.length;l<m;l++)i[l]>u&&c++;return c}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return It.diag(this.s)}}function lr(T,u=!1){return T=Ae.checkMatrix(T),u?new cn(T).inverse():Jn(T,It.eye(T.rows))}function Jn(T,u,c=!1){return T=Ae.checkMatrix(T),u=Ae.checkMatrix(u),c?new cn(T).solve(u):T.isSquare()?new _t(T).solve(u):new Un(T).solve(u)}function Rn(T){if(T=It.checkMatrix(T),T.isSquare()){if(T.columns===0)return 1;let u,c,i,l;if(T.columns===2)return u=T.get(0,0),c=T.get(0,1),i=T.get(1,0),l=T.get(1,1),u*l-c*i;if(T.columns===3){let m,B,U;return m=new mn(T,[1,2],[1,2]),B=new mn(T,[1,2],[0,2]),U=new mn(T,[1,2],[0,1]),u=T.get(0,0),c=T.get(0,1),i=T.get(0,2),u*Rn(m)-c*Rn(B)+i*Rn(U)}else return new _t(T).determinant}else throw Error("determinant can only be calculated for a square matrix")}function dr(T,u){let c=[];for(let i=0;i<T;i++)i!==u&&c.push(i);return c}function hr(T,u,c,i=1e-9,l=1e-9){if(T>l)return new Array(u.rows+1).fill(0);{let m=u.addRow(c,[0]);for(let B=0;B<m.rows;B++)Math.abs(m.get(B,0))<i&&m.set(B,0,0);return m.to1DArray()}}function Vn(T,u={}){const{thresholdValue:c=1e-9,thresholdError:i=1e-9}=u;T=It.checkMatrix(T);let l=T.rows,m=new It(l,l);for(let B=0;B<l;B++){let U=It.columnVector(T.getRow(B)),V=T.subMatrixRow(dr(l,B)).transpose(),rt=new cn(V).solve(U),K=It.sub(U,V.mmul(rt)).abs().max();m.setRow(B,hr(K,rt,B,c,i))}return m}function gr(T,u=Number.EPSILON){if(T=It.checkMatrix(T),T.isEmpty())return T.transpose();let c=new cn(T,{autoTranspose:!0}),i=c.leftSingularVectors,l=c.rightSingularVectors,m=c.diagonal;for(let B=0;B<m.length;B++)Math.abs(m[B])>u?m[B]=1/m[B]:m[B]=0;return l.mmul(It.diag(m).mmul(i.transpose()))}function Gn(T,u=T,c={}){T=new It(T);let i=!1;if(typeof u=="object"&&!It.isMatrix(u)&&!ot.isAnyArray(u)?(c=u,u=T,i=!0):u=new It(u),T.rows!==u.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:l=!0}=c;l&&(T=T.center("column"),i||(u=u.center("column")));const m=T.transpose().mmul(u);for(let B=0;B<m.rows;B++)for(let U=0;U<m.columns;U++)m.set(B,U,m.get(B,U)*(1/(T.rows-1)));return m}function pr(T,u=T,c={}){T=new It(T);let i=!1;if(typeof u=="object"&&!It.isMatrix(u)&&!ot.isAnyArray(u)?(c=u,u=T,i=!0):u=new It(u),T.rows!==u.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:l=!0,scale:m=!0}=c;l&&(T.center("column"),i||u.center("column")),m&&(T.scale("column"),i||u.scale("column"));const B=T.standardDeviation("column",{unbiased:!0}),U=i?B:u.standardDeviation("column",{unbiased:!0}),V=T.transpose().mmul(u);for(let G=0;G<V.rows;G++)for(let rt=0;rt<V.columns;rt++)V.set(G,rt,V.get(G,rt)*(1/(B[G]*U[rt]))*(1/(T.rows-1)));return V}class Qn{constructor(u,c={}){const{assumeSymmetric:i=!1}=c;if(u=Ae.checkMatrix(u),!u.isSquare())throw new Error("Matrix is not a square matrix");if(u.isEmpty())throw new Error("Matrix must be non-empty");let l=u.columns,m=new It(l,l),B=new Float64Array(l),U=new Float64Array(l),V=u,G,rt,K=!1;if(i?K=!0:K=u.isSymmetric(),K){for(G=0;G<l;G++)for(rt=0;rt<l;rt++)m.set(G,rt,V.get(G,rt));vr(l,U,B,m),mr(l,U,B,m)}else{let lt=new It(l,l),Tt=new Float64Array(l);for(rt=0;rt<l;rt++)for(G=0;G<l;G++)lt.set(G,rt,V.get(G,rt));yn(l,lt,Tt,m),yr(l,U,B,m,lt)}this.n=l,this.e=U,this.d=B,this.V=m}get realEigenvalues(){return Array.from(this.d)}get imaginaryEigenvalues(){return Array.from(this.e)}get eigenvectorMatrix(){return this.V}get diagonalMatrix(){let u=this.n,c=this.e,i=this.d,l=new It(u,u),m,B;for(m=0;m<u;m++){for(B=0;B<u;B++)l.set(m,B,0);l.set(m,m,i[m]),c[m]>0?l.set(m,m+1,c[m]):c[m]<0&&l.set(m,m-1,c[m])}return l}}function vr(T,u,c,i){let l,m,B,U,V,G,rt,K;for(V=0;V<T;V++)c[V]=i.get(T-1,V);for(U=T-1;U>0;U--){for(K=0,B=0,G=0;G<U;G++)K=K+Math.abs(c[G]);if(K===0)for(u[U]=c[U-1],V=0;V<U;V++)c[V]=i.get(U-1,V),i.set(U,V,0),i.set(V,U,0);else{for(G=0;G<U;G++)c[G]/=K,B+=c[G]*c[G];for(l=c[U-1],m=Math.sqrt(B),l>0&&(m=-m),u[U]=K*m,B=B-l*m,c[U-1]=l-m,V=0;V<U;V++)u[V]=0;for(V=0;V<U;V++){for(l=c[V],i.set(V,U,l),m=u[V]+i.get(V,V)*l,G=V+1;G<=U-1;G++)m+=i.get(G,V)*c[G],u[G]+=i.get(G,V)*l;u[V]=m}for(l=0,V=0;V<U;V++)u[V]/=B,l+=u[V]*c[V];for(rt=l/(B+B),V=0;V<U;V++)u[V]-=rt*c[V];for(V=0;V<U;V++){for(l=c[V],m=u[V],G=V;G<=U-1;G++)i.set(G,V,i.get(G,V)-(l*u[G]+m*c[G]));c[V]=i.get(U-1,V),i.set(U,V,0)}}c[U]=B}for(U=0;U<T-1;U++){if(i.set(T-1,U,i.get(U,U)),i.set(U,U,1),B=c[U+1],B!==0){for(G=0;G<=U;G++)c[G]=i.get(G,U+1)/B;for(V=0;V<=U;V++){for(m=0,G=0;G<=U;G++)m+=i.get(G,U+1)*i.get(G,V);for(G=0;G<=U;G++)i.set(G,V,i.get(G,V)-m*c[G])}}for(G=0;G<=U;G++)i.set(G,U+1,0)}for(V=0;V<T;V++)c[V]=i.get(T-1,V),i.set(T-1,V,0);i.set(T-1,T-1,1),u[0]=0}function mr(T,u,c,i){let l,m,B,U,V,G,rt,K,lt,Tt,ct,pt,Rt,Z,St,Ct;for(B=1;B<T;B++)u[B-1]=u[B];u[T-1]=0;let Xt=0,Zt=0,ge=Number.EPSILON;for(G=0;G<T;G++){for(Zt=Math.max(Zt,Math.abs(c[G])+Math.abs(u[G])),rt=G;rt<T&&!(Math.abs(u[rt])<=ge*Zt);)rt++;if(rt>G)do{for(l=c[G],K=(c[G+1]-l)/(2*u[G]),lt=rn(K,1),K<0&&(lt=-lt),c[G]=u[G]/(K+lt),c[G+1]=u[G]*(K+lt),Tt=c[G+1],m=l-c[G],B=G+2;B<T;B++)c[B]-=m;for(Xt=Xt+m,K=c[rt],ct=1,pt=ct,Rt=ct,Z=u[G+1],St=0,Ct=0,B=rt-1;B>=G;B--)for(Rt=pt,pt=ct,Ct=St,l=ct*u[B],m=ct*K,lt=rn(K,u[B]),u[B+1]=St*lt,St=u[B]/lt,ct=K/lt,K=ct*c[B]-St*l,c[B+1]=m+St*(ct*l+St*c[B]),V=0;V<T;V++)m=i.get(V,B+1),i.set(V,B+1,St*i.get(V,B)+ct*m),i.set(V,B,ct*i.get(V,B)-St*m);K=-St*Ct*Rt*Z*u[G]/Tt,u[G]=St*K,c[G]=ct*K}while(Math.abs(u[G])>ge*Zt);c[G]=c[G]+Xt,u[G]=0}for(B=0;B<T-1;B++){for(V=B,K=c[B],U=B+1;U<T;U++)c[U]<K&&(V=U,K=c[U]);if(V!==B)for(c[V]=c[B],c[B]=K,U=0;U<T;U++)K=i.get(U,B),i.set(U,B,i.get(U,V)),i.set(U,V,K)}}function yn(T,u,c,i){let l=0,m=T-1,B,U,V,G,rt,K,lt;for(K=l+1;K<=m-1;K++){for(lt=0,G=K;G<=m;G++)lt=lt+Math.abs(u.get(G,K-1));if(lt!==0){for(V=0,G=m;G>=K;G--)c[G]=u.get(G,K-1)/lt,V+=c[G]*c[G];for(U=Math.sqrt(V),c[K]>0&&(U=-U),V=V-c[K]*U,c[K]=c[K]-U,rt=K;rt<T;rt++){for(B=0,G=m;G>=K;G--)B+=c[G]*u.get(G,rt);for(B=B/V,G=K;G<=m;G++)u.set(G,rt,u.get(G,rt)-B*c[G])}for(G=0;G<=m;G++){for(B=0,rt=m;rt>=K;rt--)B+=c[rt]*u.get(G,rt);for(B=B/V,rt=K;rt<=m;rt++)u.set(G,rt,u.get(G,rt)-B*c[rt])}c[K]=lt*c[K],u.set(K,K-1,lt*U)}}for(G=0;G<T;G++)for(rt=0;rt<T;rt++)i.set(G,rt,G===rt?1:0);for(K=m-1;K>=l+1;K--)if(u.get(K,K-1)!==0){for(G=K+1;G<=m;G++)c[G]=u.get(G,K-1);for(rt=K;rt<=m;rt++){for(U=0,G=K;G<=m;G++)U+=c[G]*i.get(G,rt);for(U=U/c[K]/u.get(K,K-1),G=K;G<=m;G++)i.set(G,rt,i.get(G,rt)+U*c[G])}}}function yr(T,u,c,i,l){let m=T-1,B=0,U=T-1,V=Number.EPSILON,G=0,rt=0,K=0,lt=0,Tt=0,ct=0,pt=0,Rt=0,Z,St,Ct,Xt,Zt,ge,Ut,Yt,ce,tt,wt,Lt,Mt,we,ae;for(Z=0;Z<T;Z++)for((Z<B||Z>U)&&(c[Z]=l.get(Z,Z),u[Z]=0),St=Math.max(Z-1,0);St<T;St++)rt=rt+Math.abs(l.get(Z,St));for(;m>=B;){for(Xt=m;Xt>B&&(ct=Math.abs(l.get(Xt-1,Xt-1))+Math.abs(l.get(Xt,Xt)),ct===0&&(ct=rt),!(Math.abs(l.get(Xt,Xt-1))<V*ct));)Xt--;if(Xt===m)l.set(m,m,l.get(m,m)+G),c[m]=l.get(m,m),u[m]=0,m--,Rt=0;else if(Xt===m-1){if(Ut=l.get(m,m-1)*l.get(m-1,m),K=(l.get(m-1,m-1)-l.get(m,m))/2,lt=K*K+Ut,pt=Math.sqrt(Math.abs(lt)),l.set(m,m,l.get(m,m)+G),l.set(m-1,m-1,l.get(m-1,m-1)+G),Yt=l.get(m,m),lt>=0){for(pt=K>=0?K+pt:K-pt,c[m-1]=Yt+pt,c[m]=c[m-1],pt!==0&&(c[m]=Yt-Ut/pt),u[m-1]=0,u[m]=0,Yt=l.get(m,m-1),ct=Math.abs(Yt)+Math.abs(pt),K=Yt/ct,lt=pt/ct,Tt=Math.sqrt(K*K+lt*lt),K=K/Tt,lt=lt/Tt,St=m-1;St<T;St++)pt=l.get(m-1,St),l.set(m-1,St,lt*pt+K*l.get(m,St)),l.set(m,St,lt*l.get(m,St)-K*pt);for(Z=0;Z<=m;Z++)pt=l.get(Z,m-1),l.set(Z,m-1,lt*pt+K*l.get(Z,m)),l.set(Z,m,lt*l.get(Z,m)-K*pt);for(Z=B;Z<=U;Z++)pt=i.get(Z,m-1),i.set(Z,m-1,lt*pt+K*i.get(Z,m)),i.set(Z,m,lt*i.get(Z,m)-K*pt)}else c[m-1]=Yt+K,c[m]=Yt+K,u[m-1]=pt,u[m]=-pt;m=m-2,Rt=0}else{if(Yt=l.get(m,m),ce=0,Ut=0,Xt<m&&(ce=l.get(m-1,m-1),Ut=l.get(m,m-1)*l.get(m-1,m)),Rt===10){for(G+=Yt,Z=B;Z<=m;Z++)l.set(Z,Z,l.get(Z,Z)-Yt);ct=Math.abs(l.get(m,m-1))+Math.abs(l.get(m-1,m-2)),Yt=ce=.75*ct,Ut=-.4375*ct*ct}if(Rt===30&&(ct=(ce-Yt)/2,ct=ct*ct+Ut,ct>0)){for(ct=Math.sqrt(ct),ce<Yt&&(ct=-ct),ct=Yt-Ut/((ce-Yt)/2+ct),Z=B;Z<=m;Z++)l.set(Z,Z,l.get(Z,Z)-ct);G+=ct,Yt=ce=Ut=.964}for(Rt=Rt+1,Zt=m-2;Zt>=Xt&&(pt=l.get(Zt,Zt),Tt=Yt-pt,ct=ce-pt,K=(Tt*ct-Ut)/l.get(Zt+1,Zt)+l.get(Zt,Zt+1),lt=l.get(Zt+1,Zt+1)-pt-Tt-ct,Tt=l.get(Zt+2,Zt+1),ct=Math.abs(K)+Math.abs(lt)+Math.abs(Tt),K=K/ct,lt=lt/ct,Tt=Tt/ct,!(Zt===Xt||Math.abs(l.get(Zt,Zt-1))*(Math.abs(lt)+Math.abs(Tt))<V*(Math.abs(K)*(Math.abs(l.get(Zt-1,Zt-1))+Math.abs(pt)+Math.abs(l.get(Zt+1,Zt+1))))));)Zt--;for(Z=Zt+2;Z<=m;Z++)l.set(Z,Z-2,0),Z>Zt+2&&l.set(Z,Z-3,0);for(Ct=Zt;Ct<=m-1&&(we=Ct!==m-1,Ct!==Zt&&(K=l.get(Ct,Ct-1),lt=l.get(Ct+1,Ct-1),Tt=we?l.get(Ct+2,Ct-1):0,Yt=Math.abs(K)+Math.abs(lt)+Math.abs(Tt),Yt!==0&&(K=K/Yt,lt=lt/Yt,Tt=Tt/Yt)),Yt!==0);Ct++)if(ct=Math.sqrt(K*K+lt*lt+Tt*Tt),K<0&&(ct=-ct),ct!==0){for(Ct!==Zt?l.set(Ct,Ct-1,-ct*Yt):Xt!==Zt&&l.set(Ct,Ct-1,-l.get(Ct,Ct-1)),K=K+ct,Yt=K/ct,ce=lt/ct,pt=Tt/ct,lt=lt/K,Tt=Tt/K,St=Ct;St<T;St++)K=l.get(Ct,St)+lt*l.get(Ct+1,St),we&&(K=K+Tt*l.get(Ct+2,St),l.set(Ct+2,St,l.get(Ct+2,St)-K*pt)),l.set(Ct,St,l.get(Ct,St)-K*Yt),l.set(Ct+1,St,l.get(Ct+1,St)-K*ce);for(Z=0;Z<=Math.min(m,Ct+3);Z++)K=Yt*l.get(Z,Ct)+ce*l.get(Z,Ct+1),we&&(K=K+pt*l.get(Z,Ct+2),l.set(Z,Ct+2,l.get(Z,Ct+2)-K*Tt)),l.set(Z,Ct,l.get(Z,Ct)-K),l.set(Z,Ct+1,l.get(Z,Ct+1)-K*lt);for(Z=B;Z<=U;Z++)K=Yt*i.get(Z,Ct)+ce*i.get(Z,Ct+1),we&&(K=K+pt*i.get(Z,Ct+2),i.set(Z,Ct+2,i.get(Z,Ct+2)-K*Tt)),i.set(Z,Ct,i.get(Z,Ct)-K),i.set(Z,Ct+1,i.get(Z,Ct+1)-K*lt)}}}if(rt!==0){for(m=T-1;m>=0;m--)if(K=c[m],lt=u[m],lt===0)for(Xt=m,l.set(m,m,1),Z=m-1;Z>=0;Z--){for(Ut=l.get(Z,Z)-K,Tt=0,St=Xt;St<=m;St++)Tt=Tt+l.get(Z,St)*l.get(St,m);if(u[Z]<0)pt=Ut,ct=Tt;else if(Xt=Z,u[Z]===0?l.set(Z,m,Ut!==0?-Tt/Ut:-Tt/(V*rt)):(Yt=l.get(Z,Z+1),ce=l.get(Z+1,Z),lt=(c[Z]-K)*(c[Z]-K)+u[Z]*u[Z],ge=(Yt*ct-pt*Tt)/lt,l.set(Z,m,ge),l.set(Z+1,m,Math.abs(Yt)>Math.abs(pt)?(-Tt-Ut*ge)/Yt:(-ct-ce*ge)/pt)),ge=Math.abs(l.get(Z,m)),V*ge*ge>1)for(St=Z;St<=m;St++)l.set(St,m,l.get(St,m)/ge)}else if(lt<0)for(Xt=m-1,Math.abs(l.get(m,m-1))>Math.abs(l.get(m-1,m))?(l.set(m-1,m-1,lt/l.get(m,m-1)),l.set(m-1,m,-(l.get(m,m)-K)/l.get(m,m-1))):(ae=On(0,-l.get(m-1,m),l.get(m-1,m-1)-K,lt),l.set(m-1,m-1,ae[0]),l.set(m-1,m,ae[1])),l.set(m,m-1,0),l.set(m,m,1),Z=m-2;Z>=0;Z--){for(tt=0,wt=0,St=Xt;St<=m;St++)tt=tt+l.get(Z,St)*l.get(St,m-1),wt=wt+l.get(Z,St)*l.get(St,m);if(Ut=l.get(Z,Z)-K,u[Z]<0)pt=Ut,Tt=tt,ct=wt;else if(Xt=Z,u[Z]===0?(ae=On(-tt,-wt,Ut,lt),l.set(Z,m-1,ae[0]),l.set(Z,m,ae[1])):(Yt=l.get(Z,Z+1),ce=l.get(Z+1,Z),Lt=(c[Z]-K)*(c[Z]-K)+u[Z]*u[Z]-lt*lt,Mt=(c[Z]-K)*2*lt,Lt===0&&Mt===0&&(Lt=V*rt*(Math.abs(Ut)+Math.abs(lt)+Math.abs(Yt)+Math.abs(ce)+Math.abs(pt))),ae=On(Yt*Tt-pt*tt+lt*wt,Yt*ct-pt*wt-lt*tt,Lt,Mt),l.set(Z,m-1,ae[0]),l.set(Z,m,ae[1]),Math.abs(Yt)>Math.abs(pt)+Math.abs(lt)?(l.set(Z+1,m-1,(-tt-Ut*l.get(Z,m-1)+lt*l.get(Z,m))/Yt),l.set(Z+1,m,(-wt-Ut*l.get(Z,m)-lt*l.get(Z,m-1))/Yt)):(ae=On(-Tt-ce*l.get(Z,m-1),-ct-ce*l.get(Z,m),pt,lt),l.set(Z+1,m-1,ae[0]),l.set(Z+1,m,ae[1]))),ge=Math.max(Math.abs(l.get(Z,m-1)),Math.abs(l.get(Z,m))),V*ge*ge>1)for(St=Z;St<=m;St++)l.set(St,m-1,l.get(St,m-1)/ge),l.set(St,m,l.get(St,m)/ge)}for(Z=0;Z<T;Z++)if(Z<B||Z>U)for(St=Z;St<T;St++)i.set(Z,St,l.get(Z,St));for(St=T-1;St>=B;St--)for(Z=B;Z<=U;Z++){for(pt=0,Ct=B;Ct<=Math.min(St,U);Ct++)pt=pt+i.get(Z,Ct)*l.get(Ct,St);i.set(Z,St,pt)}}}function On(T,u,c,i){let l,m;return Math.abs(c)>Math.abs(i)?(l=i/c,m=c+l*i,[(T+l*u)/m,(u-l*T)/m]):(l=c/i,m=i+l*c,[(l*T+u)/m,(l*u-T)/m])}class Wn{constructor(u){if(u=Ae.checkMatrix(u),!u.isSymmetric())throw new Error("Matrix is not symmetric");let c=u,i=c.rows,l=new It(i,i),m=!0,B,U,V;for(U=0;U<i;U++){let G=0;for(V=0;V<U;V++){let rt=0;for(B=0;B<V;B++)rt+=l.get(V,B)*l.get(U,B);rt=(c.get(U,V)-rt)/l.get(V,V),l.set(U,V,rt),G=G+rt*rt}for(G=c.get(U,U)-G,m&&(m=G>0),l.set(U,U,Math.sqrt(Math.max(G,0))),V=U+1;V<i;V++)l.set(U,V,0)}this.L=l,this.positiveDefinite=m}isPositiveDefinite(){return this.positiveDefinite}solve(u){u=Ae.checkMatrix(u);let c=this.L,i=c.rows;if(u.rows!==i)throw new Error("Matrix dimensions do not match");if(this.isPositiveDefinite()===!1)throw new Error("Matrix is not positive definite");let l=u.columns,m=u.clone(),B,U,V;for(V=0;V<i;V++)for(U=0;U<l;U++){for(B=0;B<V;B++)m.set(V,U,m.get(V,U)-m.get(B,U)*c.get(V,B));m.set(V,U,m.get(V,U)/c.get(V,V))}for(V=i-1;V>=0;V--)for(U=0;U<l;U++){for(B=V+1;B<i;B++)m.set(V,U,m.get(V,U)-m.get(B,U)*c.get(B,V));m.set(V,U,m.get(V,U)/c.get(V,V))}return m}get lowerTriangularMatrix(){return this.L}}class wr{constructor(u,c={}){u=Ae.checkMatrix(u);let{Y:i}=c;const{scaleScores:l=!1,maxIterations:m=1e3,terminationCriteria:B=1e-10}=c;let U;if(i){if(ot.isAnyArray(i)&&typeof i[0]=="number"?i=It.columnVector(i):i=Ae.checkMatrix(i),i.rows!==u.rows)throw new Error("Y should have the same number of rows as X");U=i.getColumnVector(0)}else U=u.getColumnVector(0);let V=1,G,rt,K,lt;for(let Tt=0;Tt<m&&V>B;Tt++)K=u.transpose().mmul(U).div(U.transpose().mmul(U).get(0,0)),K=K.div(K.norm()),G=u.mmul(K).div(K.transpose().mmul(K).get(0,0)),Tt>0&&(V=G.clone().sub(lt).pow(2).sum()),lt=G.clone(),i?(rt=i.transpose().mmul(G).div(G.transpose().mmul(G).get(0,0)),rt=rt.div(rt.norm()),U=i.mmul(rt).div(rt.transpose().mmul(rt).get(0,0))):U=G;if(i){let Tt=u.transpose().mmul(G).div(G.transpose().mmul(G).get(0,0));Tt=Tt.div(Tt.norm());let ct=u.clone().sub(G.clone().mmul(Tt.transpose())),pt=U.transpose().mmul(G).div(G.transpose().mmul(G).get(0,0)),Rt=i.clone().sub(G.clone().mulS(pt.get(0,0)).mmul(rt.transpose()));this.t=G,this.p=Tt.transpose(),this.w=K.transpose(),this.q=rt,this.u=U,this.s=G.transpose().mmul(G),this.xResidual=ct,this.yResidual=Rt,this.betas=pt}else 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t=e.nodeFilter||sn,r=e.edgeFilter||sn;this.nodeFilter=t,this.edgeFilter=s=>{const{source:o,target:d}=this.graph.getEdgeDetail(s.id);return!t(o)||!t(d)?!1:r(s,o,d)},e.cache==="auto"?(this.cacheEnabled=!0,this.startAutoCache()):e.cache==="manual"?this.cacheEnabled=!0:this.cacheEnabled=!1}startAutoCache(){this.refreshCache(),this.graph.on("changed",this.handleGraphChanged)}stopAutoCache(){this.graph.off("changed",this.handleGraphChanged)}checkNodeExistence(e){this.getNode(e)}hasNode(e){if(!this.graph.hasNode(e))return!1;const t=this.graph.getNode(e);return this.nodeFilter(t)}areNeighbors(e,t){return this.checkNodeExistence(e),this.getNeighbors(t).some(r=>r.id===e)}getNode(e){const t=this.graph.getNode(e);if(!this.nodeFilter(t))throw new Error("Node not found for id: "+e);return t}getRelatedEdges(e,t){return this.checkNodeExistence(e),this.cacheEnabled?t==="in"?this.inEdgesMap.get(e):t==="out"?this.outEdgesMap.get(e):this.bothEdgesMap.get(e):this.graph.getRelatedEdges(e,t).filter(this.edgeFilter)}getDegree(e,t){return this.getRelatedEdges(e,t).length}getSuccessors(e){const r=this.getRelatedEdges(e,"out").map(s=>this.getNode(s.target));return Array.from(new Set(r))}getPredecessors(e){const r=this.getRelatedEdges(e,"in").map(s=>this.getNode(s.source));return Array.from(new Set(r))}getNeighbors(e){const t=this.getPredecessors(e),r=this.getSuccessors(e);return Array.from(new Set([...t,...r]))}hasEdge(e){if(!this.graph.hasEdge(e))return!1;const t=this.graph.getEdge(e);return this.edgeFilter(t)}getEdge(e){const t=this.graph.getEdge(e);if(!this.edgeFilter(t))throw new Error("Edge not found for id: "+e);return t}getEdgeDetail(e){const t=this.getEdge(e);return{edge:t,source:this.getNode(t.source),target:this.getNode(t.target)}}hasTreeStructure(e){return 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h&&(o=!0),!h}else if(d.type==="EdgeDataUpdated"||d.type==="EdgeUpdated")return d.id!==s.value.id;return!0}),o||r.push(s);break}case"NodeDataUpdated":case"EdgeDataUpdated":case"EdgeUpdated":{const o=r.findIndex(h=>h.type===s.type&&h.id===s.id&&(s.propertyName===void 0||h.propertyName===s.propertyName)),d=r[o];d?s.propertyName!==void 0?d.newValue=s.newValue:(r.splice(o,1),r.push(s)):r.push(s);break}case"TreeStructureDetached":{r=r.filter(o=>o.type==="TreeStructureAttached"||o.type==="TreeStructureChanged"?o.treeKey!==s.treeKey:!0),r.push(s);break}case"TreeStructureChanged":{const o=r.find(d=>d.type==="TreeStructureChanged"&&d.treeKey===s.treeKey&&d.nodeId===s.nodeId);o?o.newParentId=s.newParentId:r.push(s);break}default:r.push(s);break}}),r}checkNodeExistence(t){this.getNode(t)}hasNode(t){return this.nodeMap.has(t)}areNeighbors(t,r){return this.getNeighbors(r).some(s=>s.id===t)}getNode(t){const r=this.nodeMap.get(t);if(!r)throw new Error("Node not found for id: "+t);return r}getRelatedEdges(t,r){if(this.checkNodeExistence(t),r==="in"){const s=this.inEdgesMap.get(t);return Array.from(s)}else if(r==="out"){const s=this.outEdgesMap.get(t);return Array.from(s)}else{const s=this.bothEdgesMap.get(t);return Array.from(s)}}getDegree(t,r){return this.getRelatedEdges(t,r).length}getSuccessors(t){const s=this.getRelatedEdges(t,"out").map(o=>this.getNode(o.target));return Array.from(new Set(s))}getPredecessors(t){const s=this.getRelatedEdges(t,"in").map(o=>this.getNode(o.source));return Array.from(new Set(s))}getNeighbors(t){const r=this.getPredecessors(t),s=this.getSuccessors(t);return Array.from(new Set([...r,...s]))}doAddNode(t){if(this.hasNode(t.id))throw new Error("Node already exists: "+t.id);this.nodeMap.set(t.id,t),this.inEdgesMap.set(t.id,new Set),this.outEdgesMap.set(t.id,new Set),this.bothEdgesMap.set(t.id,new Set),this.treeIndices.forEach(r=>{r.childrenMap.set(t.id,new Set)}),this.changes.push({type:"NodeAdded",value:t})}addNodes(t){this.batch(()=>{for(const r of t)this.doAddNode(r)})}addNode(t){this.addNodes([t])}doRemoveNode(t){const r=this.getNode(t),s=this.bothEdgesMap.get(t);s==null||s.forEach(o=>this.doRemoveEdge(o.id)),this.nodeMap.delete(t),this.treeIndices.forEach(o=>{var h,p;(h=o.childrenMap.get(t))==null||h.forEach(g=>{o.parentMap.delete(g.id)});const d=o.parentMap.get(t);d&&((p=o.childrenMap.get(d.id))==null||p.delete(r)),o.parentMap.delete(t),o.childrenMap.delete(t)}),this.bothEdgesMap.delete(t),this.inEdgesMap.delete(t),this.outEdgesMap.delete(t),this.changes.push({type:"NodeRemoved",value:r})}removeNodes(t){this.batch(()=>{t.forEach(r=>this.doRemoveNode(r))})}removeNode(t){this.removeNodes([t])}updateNodeDataProperty(t,r,s){const o=this.getNode(t);this.batch(()=>{const 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ie=(W-bt)/C,de=($-Bt)/C,Jt=(X-Qt)/C;if($t&&(r[F].x-=$t*ie,r[F].y-=$t*de,r[F].z-=$t*Jt),Pt===0){const Te=zt(q);if(!Te)return;r[F].x-=Te*ie,r[F].y-=Te*de,r[F].z-=Te*Jt;return}if(Et===0||jt===0){const Te=Gt(q,h,p);if(!Te)return;r[F].x-=Te*ie,r[F].y-=Te*de,r[F].z-=Te*Jt;return}const oe=Kt(q);if(!oe)return;r[F].x-=oe*ie,r[F].y-=oe*de,r[F].z-=oe*Jt}})}updateVelocity(e,t,r,s){const{damping:o,maxSpeed:d,interval:h,dimensions:p}=s,g=e.getAllNodes();g!=null&&g.length&&g.forEach(y=>{const{id:O}=y;let L=(r[O].x+t[O].x*h)*o||.01,R=(r[O].y+t[O].y*h)*o||.01,k=p===3?(r[O].z+t[O].z*h)*o||.01:0;const F=Math.sqrt(L*L+R*R+k*k);if(F>d){const z=d/F;L=z*L,R=z*R,k=z*k}r[O]={x:L,y:R,z:k}})}updatePosition(e,t,r,s){const{distanceThresholdMode:o,interval:d,dimensions:h}=s,p=t.getAllNodes();if(!(p!=null&&p.length)){this.judgingDistance=0;return}let 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ea={gForce:!0,force2:!0,d3force:!0,fruchterman:!0,forceAtlas2:!0,force:!0,"graphin-force":!0},na={center:[0,0],comboPadding:10,treeKey:"combo"};class ra{constructor(e={}){this.options=e,this.id="comboCombined",this.options=Object.assign(Object.assign({},na),e)}execute(e,t){return A(this,void 0,void 0,function*(){return this.genericComboCombinedLayout(!1,e,t)})}assign(e,t){return A(this,void 0,void 0,function*(){yield this.genericComboCombinedLayout(!0,e,t)})}genericComboCombinedLayout(e,t,r){return A(this,void 0,void 0,function*(){const s=this.initVals(Object.assign(Object.assign({},this.options),r)),{center:o,treeKey:d,outerLayout:h}=s,p=t.getAllNodes().filter(J=>!J.data._isCombo),g=t.getAllNodes().filter(J=>J.data._isCombo),y=t.getAllEdges(),O=p==null?void 0:p.length;if(!O||O===1)return Tn(t,e,o);const L=[],R=new Map;p.forEach(J=>{R.set(J.id,J)});const k=new Map;g.forEach(J=>{k.set(J.id,J)});const F=new Map,z=this.getInnerGraphs(t,d,R,k,y,s,F);yield Promise.all(z);const C=new 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Et=Object.assign({center:o,kg:5,preventOverlap:!0,animate:!1},mt.id==="force"?{gravity:1,factor:4,linkDistance:(jt,Pt,Dt)=>{const Gt=Math.max(...Pt.data.size)||32,zt=Math.max(...Dt.data.size)||32;return Gt/2+zt/2+200}}:{});st=yield Is(mt,J,Et)}F.forEach(J=>{var mt;const Et=st.nodes.find(Dt=>Dt.id===J.id);if(Et){const{x:Dt,y:Gt}=Et.data;J.data.visited=!0,J.data.x=Dt,J.data.y=Gt,L.push({id:J.id,data:{x:Dt,y:Gt}})}const{x:jt,y:Pt}=J.data;(mt=J.data.nodes)===null||mt===void 0||mt.forEach(Dt=>{L.push({id:Dt.id,data:{x:Dt.data.x+jt,y:Dt.data.y+Pt}})})}),F.forEach(({data:J})=>{const{x:mt,y:Et,visited:jt,nodes:Pt}=J;Pt==null||Pt.forEach(Dt=>{if(!jt){const Gt=L.find(zt=>zt.id===Dt.id);Gt.data.x+=mt||0,Gt.data.y+=Et||0}})})}return e&&L.forEach(J=>{t.mergeNodeData(J.id,{x:J.data.x,y:J.data.y})}),{nodes:L,edges:y}})}initVals(e){const t=Object.assign({},e),{nodeSize:r,spacing:s,comboPadding:o}=e;let d,h;if(_t(s)?h=()=>s:fn(s)?h=s:h=()=>0,t.spacing=h,!r)d=g=>{const y=h(g);return 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Ws{constructor(){super(...arguments),this.id="d3-force-3d",this.config={inputNodeAttrs:["x","y","z","vx","vy","vz","fx","fy","fz"],outputNodeAttrs:["x","y","z","vx","vy","vz"],simulationAttrs:["alpha","alphaMin","alphaDecay","alphaTarget","velocityDecay","randomSource","numDimensions"]},this.forceMap={link:Ga,manyBody:lu,center:du,collide:gu,radial:pu,x:vu,y:mu,z:yu},this.options={numDimensions:3,link:{id:e=>e.id},manyBody:{},center:{x:0,y:0,z:0}}}initSimulation(){return fu()}}var Hs=me(92546),xu=me.n(Hs);class or{constructor(e){this.id="dagre",this.options={},Object.assign(this.options,or.defaultOptions,e)}execute(e,t){return A(this,void 0,void 0,function*(){return this.genericDagreLayout(!1,e,Object.assign(Object.assign({},this.options),t))})}assign(e,t){return A(this,void 0,void 0,function*(){yield this.genericDagreLayout(!0,e,Object.assign(Object.assign({},this.options),t))})}genericDagreLayout(e,t,r){return A(this,void 0,void 0,function*(){const{nodeSize:s}=r,o=new Hs.graphlib.Graph;o.setGraph(r),o.setDefaultEdgeLabel(()=>({}));const d=t.getAllNodes(),h=t.getAllEdges();[...d,...h].some(({id:g})=>_t(g))&&console.error("Dagre layout only support string id, it will convert number to string."),t.getAllNodes().forEach(g=>{const{id:y}=g,O=Object.assign({},g.data);if(s!==void 0){const[L,R]=Yn(fn(s)?s(g):s);Object.assign(O,{width:L,height:R})}o.setNode(y.toString(),O)}),t.getAllEdges().forEach(({id:g,source:y,target:O})=>{o.setEdge(y.toString(),O.toString(),{id:g})}),xu().layout(o);const p={nodes:[],edges:[]};return o.nodes().forEach(g=>{const y=o.node(g);p.nodes.push({id:g,data:y}),e&&t.mergeNodeData(g,y)}),o.edges().forEach(g=>{const y=o.edge(g),{id:O}=y,L=f(y,["id"]),{v:R,w:k}=g;p.edges.push({id:O,source:R,target:k,data:L}),e&&t.mergeEdgeData(O,L)}),p})}}or.defaultOptions={};class $r{constructor(e){this.id=e.id||0,this.rx=e.rx,this.ry=e.ry,this.fx=0,this.fy=0,this.mass=e.mass,this.degree=e.degree,this.g=e.g||0}distanceTo(e){const t=this.rx-e.rx,r=this.ry-e.ry;return Math.hypot(t,r)}setPos(e,t){this.rx=e,this.ry=t}resetForce(){this.fx=0,this.fy=0}addForce(e){const t=e.rx-this.rx,r=e.ry-this.ry;let s=Math.hypot(t,r);s=s<1e-4?1e-4:s;const o=this.g*(this.degree+1)*(e.degree+1)/s;this.fx+=o*t/s,this.fy+=o*r/s}in(e){return e.contains(this.rx,this.ry)}add(e){const t=this.mass+e.mass,r=(this.rx*this.mass+e.rx*e.mass)/t,s=(this.ry*this.mass+e.ry*e.mass)/t,o=this.degree+e.degree,d={rx:r,ry:s,mass:t,degree:o};return new $r(d)}}class zn{constructor(e){this.xmid=e.xmid,this.ymid=e.ymid,this.length=e.length,this.massCenter=e.massCenter||[0,0],this.mass=e.mass||1}getLength(){return this.length}contains(e,t){const r=this.length/2;return e<=this.xmid+r&&e>=this.xmid-r&&t<=this.ymid+r&&t>=this.ymid-r}NW(){const e=this.xmid-this.length/4,t=this.ymid+this.length/4,r=this.length/2,s={xmid:e,ymid:t,length:r};return new zn(s)}NE(){const e=this.xmid+this.length/4,t=this.ymid+this.length/4,r=this.length/2,s={xmid:e,ymid:t,length:r};return new zn(s)}SW(){const e=this.xmid-this.length/4,t=this.ymid-this.length/4,r=this.length/2,s={xmid:e,ymid:t,length:r};return new zn(s)}SE(){const e=this.xmid+this.length/4,t=this.ymid-this.length/4,r=this.length/2,s={xmid:e,ymid:t,length:r};return new zn(s)}}class Fn{constructor(e){this.body=null,this.quad=null,this.NW=null,this.NE=null,this.SW=null,this.SE=null,this.theta=.5,e!=null&&(this.quad=e)}insert(e){if(this.body==null){this.body=e;return}this._isExternal()?(this.quad&&(this.NW=new Fn(this.quad.NW()),this.NE=new Fn(this.quad.NE()),this.SW=new Fn(this.quad.SW()),this.SE=new Fn(this.quad.SE())),this._putBody(this.body),this._putBody(e),this.body=this.body.add(e)):(this.body=this.body.add(e),this._putBody(e))}_putBody(e){this.quad&&(e.in(this.quad.NW())&&this.NW?this.NW.insert(e):e.in(this.quad.NE())&&this.NE?this.NE.insert(e):e.in(this.quad.SW())&&this.SW?this.SW.insert(e):e.in(this.quad.SE())&&this.SE&&this.SE.insert(e))}_isExternal(){return this.NW==null&&this.NE==null&&this.SW==null&&this.SE==null}updateForce(e){if(!(this.body==null||e===this.body))if(this._isExternal())e.addForce(this.body);else{const t=this.quad?this.quad.getLength():0,r=this.body.distanceTo(e);t/r<this.theta?e.addForce(this.body):(this.NW&&this.NW.updateForce(e),this.NE&&this.NE.updateForce(e),this.SW&&this.SW.updateForce(e),this.SE&&this.SE.updateForce(e))}}}const Eu={center:[0,0],width:300,height:300,kr:5,kg:1,mode:"normal",preventOverlap:!1,dissuadeHubs:!1,maxIteration:0,ks:.1,ksmax:10,tao:.1};class bu{constructor(e={}){this.options=e,this.id="forceAtlas2",this.options=Object.assign(Object.assign({},Eu),e)}execute(e,t){return A(this,void 0,void 0,function*(){return this.genericForceAtlas2Layout(!1,e,t)})}assign(e,t){return A(this,void 0,void 0,function*(){yield this.genericForceAtlas2Layout(!0,e,t)})}genericForceAtlas2Layout(e,t,r){return A(this,void 0,void 0,function*(){const s=t.getAllEdges(),o=t.getAllNodes(),d=this.formatOptions(r,o.length),{width:h,height:p,prune:g,maxIteration:y,nodeSize:O,center:L}=d;if(!(o!=null&&o.length)||o.length===1)return Tn(t,e,L);const R=o.map(C=>Ke(C,[h,p])),k=s.filter(C=>{const{source:W,target:$}=C;return W!==$}),F=new vt({nodes:R,edges:k}),z=this.getSizes(F,O);if(this.run(F,t,y,z,e,d),g){for(let W=0;W<k.length;W+=1){const{source:$,target:X}=k[W],q=F.getDegree($),st=F.getDegree($);if(q<=1){const ut=F.getNode(X);F.mergeNodeData($,{x:ut.data.x,y:ut.data.y})}else if(st<=1){const ut=F.getNode($);F.mergeNodeData(X,{x:ut.data.x,y:ut.data.y})}}const C=Object.assign(Object.assign({},d),{prune:!1,barnesHut:!1});this.run(F,t,100,z,e,C)}return{nodes:R,edges:s}})}getSizes(e,t){const r=e.getAllNodes(),s={};for(let o=0;o<r.length;o+=1){const d=r[o];s[d.id]=jr(t,void 0)(d)}return s}formatOptions(e={},t){const r=Object.assign(Object.assign({},this.options),e),{center:s,width:o,height:d,barnesHut:h,prune:p,maxIteration:g,kr:y,kg:O}=r;return r.width=!o&&typeof window!="undefined"?window.innerWidth:o,r.height=!d&&typeof window!="undefined"?window.innerHeight:d,r.center=s||[r.width/2,r.height/2],h===void 0&&t>250&&(r.barnesHut=!0),p===void 0&&t>100&&(r.prune=!0),g===0&&!p?(r.maxIteration=250,t<=200&&t>100?r.maxIteration=1e3:t>200&&(r.maxIteration=1200)):g===0&&p&&(r.maxIteration=100,t<=200&&t>100?r.maxIteration=500:t>200&&(r.maxIteration=950)),y||(r.kr=50,t>100&&t<=500?r.kr=20:t>500&&(r.kr=1)),O||(r.kg=20,t>100&&t<=500?r.kg=10:t>500&&(r.kg=1)),r}run(e,t,r,s,o,d){const{kr:h,barnesHut:p,onTick:g}=d,y=e.getAllNodes();let O=0,L=r;const R={},k={},F={};for(let z=0;z<y.length;z+=1){const{data:C,id:W}=y[z];if(R[W]=[0,0],p){const $={id:z,rx:C.x,ry:C.y,mass:1,g:h,degree:e.getDegree(W)};F[W]=new $r($)}}for(;L>0;)O=this.oneStep(e,{iter:L,preventOverlapIters:50,krPrime:100,sg:O,forces:R,preForces:k,bodies:F,sizes:s},d),L--,g==null||g({nodes:y,edges:t.getAllEdges()});return e}oneStep(e,t,r){const{iter:s,preventOverlapIters:o,krPrime:d,sg:h,preForces:p,bodies:g,sizes:y}=t;let{forces:O}=t;const{preventOverlap:L,barnesHut:R}=r,k=e.getAllNodes();for(let F=0;F<k.length;F+=1){const{id:z}=k[F];p[z]=[...O[z]],O[z]=[0,0]}return O=this.getAttrForces(e,s,o,y,O,r),R&&(L&&s>o||!L)?O=this.getOptRepGraForces(e,O,g,r):O=this.getRepGraForces(e,s,o,O,d,y,r),this.updatePos(e,O,p,h,r)}getAttrForces(e,t,r,s,o,d){const{preventOverlap:h,dissuadeHubs:p,mode:g,prune:y}=d,O=e.getAllEdges();for(let L=0;L<O.length;L+=1){const{source:R,target:k}=O[L],F=e.getNode(R),z=e.getNode(k),C=e.getDegree(R),W=e.getDegree(k);if(y&&(C<=1||W<=1))continue;const $=[z.data.x-F.data.x,z.data.y-F.data.y];let X=Math.hypot($[0],$[1]);X=X<1e-4?1e-4:X,$[0]=$[0]/X,$[1]=$[1]/X,h&&t<r&&(X=X-s[R]-s[k]);let q=X,st=q;g==="linlog"&&(q=Math.log(1+X),st=q),p&&(q=X/C,st=X/W),h&&t<r&&X<=0?(q=0,st=0):h&&t<r&&X>0&&(q=X,st=X),o[R][0]+=q*$[0],o[k][0]-=st*$[0],o[R][1]+=q*$[1],o[k][1]-=st*$[1]}return o}getOptRepGraForces(e,t,r,s){const{kg:o,center:d,prune:h}=s,p=e.getAllNodes(),g=p.length;let y=9e10,O=-9e10,L=9e10,R=-9e10;for(let W=0;W<g;W+=1){const{id:$,data:X}=p[W];h&&e.getDegree($)<=1||(r[$].setPos(X.x,X.y),X.x>=O&&(O=X.x),X.x<=y&&(y=X.x),X.y>=R&&(R=X.y),X.y<=L&&(L=X.y))}const k=Math.max(O-y,R-L),F={xmid:(O+y)/2,ymid:(R+L)/2,length:k,massCenter:d,mass:g},z=new zn(F),C=new Fn(z);for(let W=0;W<g;W+=1){const{id:$}=p[W];h&&e.getDegree($)<=1||r[$].in(z)&&C.insert(r[$])}for(let W=0;W<g;W+=1){const{id:$,data:X}=p[W],q=e.getDegree($);if(h&&q<=1)continue;r[$].resetForce(),C.updateForce(r[$]),t[$][0]-=r[$].fx,t[$][1]-=r[$].fy;const st=[X.x-d[0],X.y-d[1]];let ut=Math.hypot(st[0],st[1]);ut=ut<1e-4?1e-4:ut,st[0]=st[0]/ut,st[1]=st[1]/ut;const J=o*(q+1);t[$][0]-=J*st[0],t[$][1]-=J*st[1]}return t}getRepGraForces(e,t,r,s,o,d,h){const{preventOverlap:p,kr:g,kg:y,center:O,prune:L}=h,R=e.getAllNodes(),k=R.length;for(let F=0;F<k;F+=1){const z=R[F],C=e.getDegree(z.id);for(let q=F+1;q<k;q+=1){const st=R[q],ut=e.getDegree(st.id);if(L&&(C<=1||ut<=1))continue;const J=[st.data.x-z.data.x,st.data.y-z.data.y];let mt=Math.hypot(J[0],J[1]);mt=mt<1e-4?1e-4:mt,J[0]=J[0]/mt,J[1]=J[1]/mt,p&&t<r&&(mt=mt-d[z.id]-d[st.id]);let Et=g*(C+1)*(ut+1)/mt;p&&t<r&&mt<0?Et=o*(C+1)*(ut+1):p&&t<r&&mt===0?Et=0:p&&t<r&&mt>0&&(Et=g*(C+1)*(ut+1)/mt),s[z.id][0]-=Et*J[0],s[st.id][0]+=Et*J[0],s[z.id][1]-=Et*J[1],s[st.id][1]+=Et*J[1]}const W=[z.data.x-O[0],z.data.y-O[1]],$=Math.hypot(W[0],W[1]);W[0]=W[0]/$,W[1]=W[1]/$;const X=y*(C+1);s[z.id][0]-=X*W[0],s[z.id][1]-=X*W[1]}return s}updatePos(e,t,r,s,o){const{ks:d,tao:h,prune:p,ksmax:g}=o,y=e.getAllNodes(),O=y.length,L=[],R=[];let k=0,F=0,z=s;for(let W=0;W<O;W+=1){const{id:$}=y[W],X=e.getDegree($);if(p&&X<=1)continue;const q=[t[$][0]-r[$][0],t[$][1]-r[$][1]],st=Math.hypot(q[0],q[1]),ut=[t[$][0]+r[$][0],t[$][1]+r[$][1]],J=Math.hypot(ut[0],ut[1]);L[W]=st,R[W]=J/2,k+=(X+1)*L[W],F+=(X+1)*R[W]}const C=z;z=h*F/k,C!==0&&(z=z>1.5*C?1.5*C:z);for(let W=0;W<O;W+=1){const{id:$,data:X}=y[W],q=e.getDegree($);if(p&&q<=1||_t(X.fx)&&_t(X.fy))continue;let st=d*z/(1+z*Math.sqrt(L[W])),ut=Math.hypot(t[$][0],t[$][1]);ut=ut<1e-4?1e-4:ut;const J=g/ut;st=st>J?J:st;const mt=st*t[$][0],Et=st*t[$][1];e.mergeNodeData($,{x:X.x+mt,y:X.y+Et})}return z}}const Nu={maxIteration:1e3,gravity:10,speed:5,clustering:!1,clusterGravity:10,width:300,height:300,nodeClusterBy:"cluster"},Mu=800;class Su{constructor(e={}){this.options=e,this.id="fruchterman",this.timeInterval=0,this.running=!1,this.options=Object.assign(Object.assign({},Nu),e)}execute(e,t){return A(this,void 0,void 0,function*(){return this.genericFruchtermanLayout(!1,e,t)})}assign(e,t){return A(this,void 0,void 0,function*(){yield this.genericFruchtermanLayout(!0,e,t)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(e=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let r=0;r<e;r++)this.runOneStep(this.lastGraph,this.lastClusterMap,this.lastOptions);const t={nodes:this.lastLayoutNodes,edges:this.lastLayoutEdges};return this.lastAssign&&t.nodes.forEach(r=>this.lastGraph.mergeNodeData(r.id,{x:r.data.x,y:r.data.y,z:this.options.dimensions===3?r.data.z:void 0})),t}genericFruchtermanLayout(e,t,r){return A(this,void 0,void 0,function*(){if(this.running)return;const s=this.formatOptions(r),{dimensions:o,width:d,height:h,center:p,clustering:g,nodeClusterBy:y,maxIteration:O,onTick:L}=s,R=t.getAllNodes(),k=t.getAllEdges();if(!(R!=null&&R.length)){const $={nodes:[],edges:k};return this.lastResult=$,$}if(R.length===1){e&&t.mergeNodeData(R[0].id,{x:p[0],y:p[1],z:o===3?p[2]:void 0});const $={nodes:[Object.assign(Object.assign({},R[0]),{data:Object.assign(Object.assign({},R[0].data),{x:p[0],y:p[1],z:o===3?p[2]:void 0})})],edges:k};return this.lastResult=$,$}const F=R.map($=>Ke($,[d,h])),z=new vt({nodes:F,edges:k}),C={};if(g&&F.forEach($=>{const X=$.data[y];C[X]||(C[X]={name:X,cx:0,cy:0,count:0})}),this.lastLayoutNodes=F,this.lastLayoutEdges=k,this.lastAssign=e,this.lastGraph=z,this.lastOptions=s,this.lastClusterMap=C,typeof window=="undefined")return;let W=0;return new Promise($=>{this.timeInterval=window.setInterval(()=>{if(!this.running){$({nodes:F,edges:k});return}this.runOneStep(z,C,s),e&&F.forEach(({id:X,data:q})=>t.mergeNodeData(X,{x:q.x,y:q.y,z:o===3?q.z:void 0})),L==null||L({nodes:F,edges:k}),W++,W>=O&&(window.clearInterval(this.timeInterval),$({nodes:F,edges:k}))},0),this.running=!0})})}formatOptions(e={}){const 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diff --git a/8600.ecf4da4f.async.js b/8600.c9304648.async.js
similarity index 84%
rename from 8600.ecf4da4f.async.js
rename to 8600.c9304648.async.js
index 50a2dd9850..ccd82de233 100644
--- a/8600.ecf4da4f.async.js
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oe8UR9CW3vmIdN22i8XJbS/y6848ov+m9vvjeJfy0FPC3ABGUjBMOtCSBNkr+OLKwjMAgQ4U4g8praCNjxfWMlpISQI9JEOgzAYRXgCEsT9q82tmjRgBNMSm+oibQEAb8nogT5nARdyjOKJjCRSC99Dbw+pZBIKoisuSHIsgERN7my04br814r/t/t8/3Ggg68Z+X2X8cWe1+ft2ankO/+on6Nf/uYu5cwh8F8Fklz0n0bBgAenJAlqKuHuEFAERor+CMW95rW+YyrPBgkFCIMgKD7sYzdOg1rfpPjpGiiVYxPY+gEh5yBkUlhhfrotceJRQYJPqSWVnwlreBjW0c6zqBLGcI+TlGlTNRBEEg0LH9affhs6foX9ivQMx6tL/88EOiK3g+2b5kVcux7yaiXlrDK97uw9aAgTDJWVK0vVlgYxIYyEudQJviAsUBAoQ8QM8UjypvBEgQkxKnTVlWihOEe6ABlWHg8Dqp1IkjIj4JBHGGzqWnrhxEgaHnofelpMgMB6WII0Co9mp7D5CygSyV+OnAqCqglHSERtlG94dfPFz/8X4Fgr78D3Ozp02e4Ht2e2vfzz9zWPn3d3VBty7gX7V1/D7kWTkikKbEkscNJJZoE2B4xKeINnEG5SZIDMVGAWnP4yZ5r8xWYVkWuQFTq4GRJZLgxIEhA6gPS6VNhf1kgSmuUCD0JIDymOQucS1cmsJbWoH2Pmkg0AIioPIuBSKBEVXAhhbn3P852nhivwNBF/Dom/nbRtWySzes6zr9guMa3uFx3zifz2MMx5CYoFVK4YstA0CcVrpXgi/kPukDxQWkF/JAKkvsD1RWAm5Mii2SR6RmFBBehFvIHVqxx40U2T9BNOII+t7aEFBJxQt0bCGHIVf1jgSEuFG9GcI+4EA6B2xtAdoGJEA+z1QmkURWmxkAtndj6jdOZsP2p/aJjlCrYNaz7aGjJtYs8JlW3dZN3TMu/Hhjm/rs4UV8wuoMVlMBno9WrgMMpIHOFJAhbiDzUylnBYSXLk1kgP4MkM4ABx4IpD3zlkQSEUMQTKYXRGGCZgBlnlgS6U/yLTw9URcGKkMU7vP0hOdj0HdQETQlrIof9B1UQdJMQCSkDgpREJIWk6drHM4Rz7ILLj6OPbhfOYJzru0ADtCBzJxFVkVFvfFSOpVavb6548QrTxufo4v76UvO9Sld+6GI9NhAJgnE+4F4AkikgRwR3xMFpCeE70BAkC9B2TpLEnjsBCmz6XMiPBFaAUFJOGYA9DypBmiiakKRh5bmK3FEdQioDlNRmuQIFfqOp4BodDAPISKwnv6hcp5NrUBLSmYUyYdQQJAFFmRAHrxjWzc74MrT2AfvRyj030zzwxM6FrkOuKEhlemHbiURNJzU3NpR4YW662x+5W392t4MxpA4sjJA3w6grQvoisvCMSoQIDCE+UogKB9BOXMOMLIBiNuA6QeCAaChVPZTUC6WRBs92yTbNY5DazmCGkfQZML2D/mYAKImBNREgLBf5h9oy1scjsbgJ92h8hoeh5G2piqSt1uA9qw0V0npC6uPCh80oJREnw/Y2u9+47+P1W8dDlfsE9E0i3PtsD7MAcex6kbSPYBuO/BFbAQr/EImi0VGBLaAVAro7AaWrQWenQ/QiqRVT58Ja4m0Mm208oULDdSPBdo7qXIAQBCorgbqSiCTRaZX40qrPACMKHVQGeBwXA7H4WCcMhMcMR9QHmCiKE2A49OQznOEIrrIhQtHz0s4KVM2mwaWtQEdWUnwiF9yGPlCYQ2oIY/dFCJzwckHs2P2GxD0xU9u41OCJVjiWgioiuvurRzlIQc8xOGPmjKuWZRRE5aKRsTl+Pk9wNK1pP048bk0V0TEmZ656KHQgwyJJAl1AoIBpUwUM5cHgGhAhh5IFFVVACNjwAHVkkAigVRU/SeLa+RG4omAEmWaghsGs3aUtaBjSVkvamfozwH+EBANyu8if6TMABro/wCQ50gsbUPd1Sez1J6CsU84Qn3p0518lm7gR7SK5WriaN/oYmy1i2xIh+nXCoE6kU0jGpOCpmeL476nOP7yLIdlUaDJayklYBwXFfU6dmx3JFsR9UIMCEvBTwDRKo1SpZ8OTB8NlPmAMeVAjEIaHhDKVCU5LypIPDNUZf2K3xOEIU1NosmmFC7DW9uk30PtBOGAPHddEBgbBQJUmM7Al2/G6CtOZ1v3KxD3NvNARRhLOMeUoO5iSiyFZNbCWxsjqC7XwGIMOnWPGpp03ggEDwhl+Kze4OLuPztYucaBlfJ2cDjKR+nobbE9IABQBxHJB7IlSXP6NTCToSwEHFwn40ojSoCamBRbFCGlTaRZVbq16H8CpwAIca0HlBBTtL/HyQ/MJVCASBgoiwBjKoCJVLVI+SQNeHMjxl5+Btu8X4GgL39sCz/KF8Jc1+HGlOAalOm9yFlBLG+fisYKGxWhjUi4IxELZLC6vxyGzy+tHpVnYJ68TXN0dHK0tLhobXPR1sWxZb2F7V0uetMOLMUZZEMSGB6Vq+s1BDlDRQCoi0gdQlYOiSiS7yr/TeDQRoeSyUpYFsBSFSJkCheDQgXIncAdLwCVMaCmDJjUAEwslx2xDuO5ectY3bVfZHvcM7FPRZNaBU+28VsYcCWJHKKXj5IvFmBYBuqCbchqOhpL4li3ZQBWzZE7dYsUUqAei4jQg0cMMkvJxE2lOXrjHB1dDlo7XLRs52jv4tjh6ujsYRjIM5RS/VOUoSbKEBaKWbYQExBBsrrU6yKQCBhRhUjgeBtZSYI7PCexux/40cNATSnQVANMbwImlAO6BGLlMRO1g/aUG5Q0GM5x//aYP/+Tx4INeJO7GK0S/nRDIZsj6AK6nyNtatIXKApRqIS9zIS9s8FPBPUGRbfQLbRfASjSNQ4VLHP09nPEezn64gz9cY6BASbMUMdmwgQN+pmIJUWCVFE+yC2CcxT3eFJPMByBYQAd/cD3HwLqyoAJI4CjJwCjy6Sl1p1wrz99hj5rOAR9XziCLuThdfxUzYe/Uasaeb/E9iS/zRwXDh1MjpRORcHv9GTFCimycobsUpBihYSQp2cKHnZxjsGT/eTUUW6DzONMiiNFjiTlQBJMmNLkPZP/QhxDPRwEBllGwl+gjcSXDmwfAH7wMNBYDkwdDRw/CWgoAZiP9y9eyw745qcYGdh7/HjfgKAr+csGfj84/otWOK2okhBQFQXScVFtJDI0fSJK5610pSu8shllcqrPiwdwiASmZ1ipjJ1gsCJdU+ycqbxDIXXqhTZE+INWOwDqXN3SAixZIcUYcYwQZcqBM4AuEk2PAmMqgcMmAidNlmKqtc+95Lyj9N/vMQLeAe8rEPcs41WBIFZyjhq6YRIB1TF5Y4kdXJiblsbRY5HFPkhElVNW9r/qUZDVeoOgCcvWC0OoFKpS/AU8vAybLFD2qgKLEkOqn0I809rQgJVrORYulu0DNBmBmmsIEFLqvQPAjx8HJtYAx04FPjaZIgLujV88Vv/ecEF433RE8QXdv5yfr5l4kMQCiSeK31dRQoVRSQpH2OCwdaCXzKCi1VwoJFN1wyqD6ukF4e95IklxBH0kuKYIMHGTisNU2FsVFBT/r0CicInFcc/DsgyTQCAwRMsZ6YE+jhufBCbWMRwxCbnqSvfbP/+8fsfegPCBAEFfcv8K/ozj4ExReWFKMCpiXkx/wBViyjWAHblBMaVqUlX/hFLSitiqaGAnsaRSpkXWsLpJAkO1dImqDvqf/APvfVHWX5Q6ffp5ji1bmGi8JK+ZPHt67k1y/HkuMGoEQ30t/vn0N9jMvQXhAwPivqV8pMWwwnVQKmSyIT3TchF847CyLnSHwedn6MkNSstCdYUnXoTzR2EnL2SuKjcIDK/eQDnDhaI0xRF0VlUrKzxqjxtUz12x6KJ916znePIZJrxoBQJxR3+W496lDHXlwKQ69/7ZV+sXfmSAoAu9YyH/Wo7jdhJRqkGFnqkaojzIEWQcInMXZOhKy6baQgq0uIlFiSMvDFUMguAO732l9z1JJiemFGXk5LSCoponFQPzxBh1sP7qVi4CgQU9EaSULseDK4HGaoaJlfb3/n6teeNHCohHH+X6hnK8mrNwrCAChReoAsLzaMMmxzgKSQSJMzjW9exsRyj1UawDlPIWnUZFYBW4o4hCO+kJDxDVKCPKeooKnFVx8133cLS2ekAQZwSApM3x+FqgoYFhbGnuU6/9IEB9Ynv9eF+tJk+uU94s1N8P319WoOntDsyzbYQpVUrxGTE0iwJzXnPj9CqO2gAjLxVLu2RjIRGpuPK7YGENEUnFNbJDwVAeujJfCxzhVXKogKAAxLOw5i7keOYpIBJlUjyFgIzr4rlNDNUjGEZGchOX/iSwbq9R2LkLeV+cTp6jOR4vzfXhHMMMnsF142DOeDU1rTFdy7T3I7BiGwvMX8vQ3QdUl8j6oChNq/EGaE2v5qgkjvEDr3fItaJqkAr5aU/2kKgrmLSqIaUIIOG5F/VPKPGkxNJOEdkhPRfdvRw3XM8RCmgIRyQQFnPx0laOqlH6wMhy1L0xa/j1rsUU36cc0dXVFYnn/FdZNvu632eUB/0aHK6JagfX5TAM2XLl2ByJPMOibTr+8KomqjNG1wANdUCUoqX/GpZyaA1QY3Jhqby6nQmvt3iSgFeaKu+l0BEkE08FT9x7ocBTTl0xNwiOU1zhOXkFR/JfB876sYPEDoZQWBNAuIaD+a0cFeO0VTtu06fuq+W7z4Bo7UoenMjyRxjjE2jQVceAi7StQzd0aHSnjInYEHddlAUZGmNyBNj2FMONLxhYtY1hZAXQNBIoLZdia0YVMDrAEQ0Bf29joshAKV3BJYobPDkkGlqKuGLoilMmrEpO7SSeCi1cRfkLBvzlKQfz/s4RjdD4IQoN21jaCZSO05/o+6127ltb+Zg3t7nnjK/WDhs1AhUhP5LZHFZzhqfrQmzx7gK1T4Bo60melMqzJ3I5K7axJ4+kayIWCYq5GLpOQTYKIBTyLGLGEjV/lBoOGqI6Ovo5fvp3H9a0SLOwrh4orZT56GkVwNQoF77H7FaGnmyRmFIBwyKFIKaMFQNUJH9Vd5FqBS6IJc9iKmQPi6YXrG928asbbFSU6AIMPWRjZR8w+iDc+sNTtMhAVrsABnzTG+UMKhlO5zBNxk0DL+ZtXNpUyprfC5C9BqItnpqey+tz+hLp2LrOPMxIFH4fTQYggnkzXDU5SYzkM+WQw34NE8sZ3upyYeUyGFtiYnOc4X+fpOwKUFECRMqBEEU1/cCEGHB0OVAR5nihHdiSkNNnZBZtsGC5uBxccYeSU15AVyr9IsKr7J1S4iparOJUGYvjx9/JgTs6SqMG/DEbWzLAydNN65MzYU4dz7EjwUTOXRRQe558wM/RWAmMrkdnJmt94sBaP/WTvetjr4Do6OBh28gv6x1IT9gcd+H6iAs0MU6BNtEXLcTS4GwLpmlijkZ1SI7zaY67iOl5RBnH06v9eOR1HQ1UZR2Tc/xM6j8IAo0h4JNVVC7JsbQfWLrDyzGrinHFFcKRkFsxUMVdp8prL+Syh/gQg/69PNWDd+Sw+k2G0hIDJWUOcpaLH1xhoraBYXsvLbiiPLcK1VNQ0qEUKsch47GJGezgydUs+W5I7BUQ3QnrB4mUdUNLPI+44xeTxMSKEJTnQifQJDEiuCiHVMpTsD6lTKXct20XYyIWWntdfOuxsCh7qawBfF4YhNratCBQ5gfOqQVKTY7mLPBCOxss3VexD8fTEyrXoTjGE1GqMUWFO8Q6KepOFbkQeRPi3HQPyxdZ+NvtNsxyE9VNwFfOAQ6aoqO5SxYdkAGiZnkUE1RcEpV2GsBBjfZ3Z4wz33XQ1rCBIG5gQbu5vSddFecB0VDizZj0ZLTsbyYAaLrYTpNgvNEvBAbdMYEVZRnYGRu3zI1sXNXKttZVsmn+SlTqEVmQJpa3Vzbz6RqgmvIZGvDAZmlRkeIXXFDEEQVRpQoBvesR3FE04UyJqqFiifAgQsYHOO77Wgo87MM1t5g4aQyweLMrFhOV5Mh+78HRdUocyogwlfRQftttbWzcPuE/CO+eAAAMI0lEQVSoxsbMrrhi2ECkc/Y5/Wnnyda4g14Kn+5k4BetfnHDpLRlrGewLK8wEEyQqSZItY1pvNocWXbZcdqMU2/d4K8pHznBX+I7FD7MdIDDchYOcEIIuhpwcjnQ5OfC9/jjBlnqIs5NC0KB4nGJmiSu5L5y7pS+KAAwZOCWMjCIQ9fNteGHjos+D6zbxjGQ5WI0UZCAoHSqN02zmPOpFFOEXTyT+sgJ9p11VeYD1UH8kxo294kfkco6d7TtyFzWnfchQ605kF+qHqqQV968FE3SSpGN5IUYkFdWU0U6I5fBgma9N1QWqNtV//bPnuNlHQxTkwyH5/2YeXQ5P2SEHyMbotD+sgnYOMDewRFkRYmuI8/CoteFiThkAnsjsAWHFFX5KQdyRAyoIl2V5QhYDLVVHK+tdWWhWUAOZSkMcvREmqjCUb3ZqirIAaaM5qivZpTOXWhl8xdNaxj0yofNEXmXv7x2a/LE9pwPgaAuirRUiKGYOXbWC1KW7qp3jUojY04Gi7dpqbposvaEydXvqtgG4eba7DX2sRnHeKgx7Na/3qVZ89pAc/aqxHAVVTHorb1CG1hRQ6PQGR5Dq2EoKjHVEAVm1AIVBrCxA+gQM2k4bNcVBW0RPw11pGJkuicp9wo2g8cNorVMgEE5YyBMtbcUUytl3clc6rjjmqKisWfYQORsvmT11sSh2/N+xCI6tS7t0iDw5tkWPqPVo5QY3TCFxekRNBiiThpLWoxeI7q57rzJcu7r7jxmr+Ajehw8Wh3iR4ws4Q/+6Z/a7dvSzlSbs6O4ps2wbRxA4wWE160oVTQnylNVQm8o8UX1smeNB9w0sHQLkMpJzgqYJJI4SihHQaWXXpmmEEkeOWVEmBcAEK0GXjaR8ih5R4rUyXXu4o8fYM4kMTVsIPIun7e+JXnMxn4TNRVmQSlJ8SQFj7hpJpV2wRShMkeNiYukD4T1ZDJEdFeIpn+2BZf/z0zzkN0BoHgfajd2w/il38DlU2v4csNln5vcyDbSPp/9dX95LhyapkE7TPOxmQ7YdA7eCJ1pSpwqMJSpPaOG4+AyYMFmJoqj6ZaIewIGF92qUa/yg7KOgoieuaWGr6jCBuIEBQLpCvpf5FM4RQ8YxoR6zj3nyJonhg1Eznbu7+zN/tecTQ7GjyTThuiqYg3yi7yKxZ1Sl3IPKgqWZCQQiEtiPI+BRA5v7TBu/fLMyE6DFvcElLvm2xdmuXbboSOYFTRxySEj2OPvOH4W184MZ0exqDmdGWwmM9gRLtgUrqGM7oNW8GUHu1i0SZMgeA8x9o6SWj4uNrp2qWOk1iPul/pBdb1KrlBZxKHgGIaGsJlbdPmxwSOHDUQqb19k2/yPL6xIoLY+JkxUNVFbOUREa9vTHWrlFQoAaKa3xw0md1CmWdjYbfF2HjrqS9N8/9wT4g/d987X+KTuNH90aj2f1FCm3c50fO/Q95gK8NlvtQRzE2omQtcOHVWhffLjo3HuG1ulGKUHEUo011PxsSkHO5J/IMSZR0VVRSJEr8ipe1aTly+RgNDMQaqTleZuyA87394ycthA0OT70gBv3tiejGzoN9FQ5TUXCMnkSUvv7FT0RSyplLkinAq6RZ0MuONgzYD/tfOmBY4fMqd4WJjc+HR3tJ+V/bqxVPvKpDr+pt+nffHIUWz17pyMcz76voXY3E6Fk949ELGJI8hnkCB4YyLUPEKPG5T+c8iK9MzWYq5QKoqug+JwZVGGLS3xqcMGgk6UzvFf5B37qoVrk6iqCSPkN5Cgzh4RB1JGqrz1nO0WLkyMdVAtVdkUIj4NzQMsv22AHfXVI8Nv7A6xdnefqx/PfSEcMG4/fDR8IdO57riHfvpbNmvWv/2NIs556X0L3e3dCS0gdEBRPoPil6p/QqOmD49d1CJT4rjgQ3gBSCWehDoRISAIEEwT7srWzPA5gk64tptHG2Pu+lTWrl24PoUDR5eIxo/tKVLCRbLTW1hk4qYtV8SfuGMjaGVQGjLQkXKxLRe8+guTzV/uLoH3ZL/vPxEflbQi905txAlNlez5mJ6/5PBxgyOJdnWup1a4c9a24jj6nQuRn1AWlRr8Lp6lc6LsE5kvl5y/U4mPpzOkDSNFEoEwrg7oSPCND131+MRhcUQ6nR7x3HPB7ZMOT9xUEja+GQubGhF5dVsWlu5HIOIrzE4lQEQU3DOdsnkqt0+jzOSIhHyI5zVsz5k/P3Wsfu2eEHdP96Wc+aupzLfrq30/mjYK2ZCJ73x8gn4/E9R85+PV9dmTVrYYf0/nmBaJaCKVq+JU0sIaPGxQ3EidoBQ2QSJN2UFdQ8BReqCpWtbg5l33qjNG6L/aYyDyvPlCm/f+bktrfkNJ6OCD1v1rlH1Sj9w9c6Tv5CBzG/uSebT3OUjaOpia003dOdyBCRcRctzCJlymo9vS010pfO/kMfpte0rY4e7/3YcTB6btwD0Hj3aPrC/Tni8L2pfPHB3csqvzPbbcunZbD/+/XJ4xnX7shiw8rzpc07gcOSfDZdIyVEpbpWoLYkkaJtKRZbJwjYaq1PCXF8xdcxoNCNgjIDLO29fZrPfH1LfjWGks31DhJILTv3POWP2W+1ckqg9rDP6iPqJ9wQduWo6LvOUKq0lyhQyP20xDn6U57SnnhY64893zJvt3S4EOl/C7Oo6GuQzYk66Y0GjMmjaKUSzvx40Tjdsms3eOxbtvYe6ceE77WTbPDhhIMjGZOejn8Pu4yCJShTgpXWE9CXHlvRYjhrx0CflL9GtGhvxxEdMHHo04D21sjV92zTFV1DS8e5710qXcnHTw0l/b2o4r6Kd8uEMWQT/a+7LOmpaKU8877PQX1Q3fvzJ34JgK44LqMDvJxzBe0xB1OeM5lyeSFjbsSPFXegbsh8+f6n9rXxJ3OOc6/47OMaFg9OZDxupnNpSzN0O6861PHBgszLFV5yTgRjZMOCyd1acnUijx+WHoBnzBgB4wTIQMU/NrhmaWBHGgZmiNadt9S9Ool5AHGDQfdxBg9OsKJuKAszTt2n/61vTQguJrfk+O4JyHM868+yz0foZAoGyHa/ehP5XDpt7I6wu2Vp4x65RTdjkZ+H/ubQ5MqKmM+oKcv7yyM/H8lbLn+sP2+PLdPWePrw/9cmSNMToSwGMVPvf7R48PbNrT65y9IX9kxtUfXtmujRv6Wxjvda5/C8TAQHulHlzxVwvxo2l0J3Wgu3YcfQN5bIyXzn65ufzzN33qU4K1PuqPi+9aGiotG/OtprrQVRUx3ec3cVd90Ljp8NGsY3fvbWk7D21KuNu7+6zDrjgisH53j/u3oikeX9NkhFa9YCNxAFwTsHNw83H09jvYGK/80+wF9ZfeduVpH8oVvicEGLrvVx7qrJnUELquLBr4imFodtB0fz8iat1y5IjQbv2C8JNb3S1tPc5FX59hvrIn17FLjujufmNGOLbq6ZyTaqDRm8zKwc31ojsOrOut++VZ//jqNf8//nBrMeG+80R81PiR4asNn3EhpaSDBn+s1HTuPHXcTxcztmuHsKOjIzw3W9O2qc0+9bqjzT361ch3AJFMLjyZaUsfzrv5Urg+aFYaTq4Xnb0+d3VPw7WfOf6y95xSticr4cO+7zef6K4bPSJ2sT9gXKRrrJEBK00791Rtqf78J5t6VzFWK5rbeceK8Ev2lJ9sSbLPP7OhY+yzZ9bv0cTLnYDIZ2b/t+W8cVeetLxrQLdSsLP96OgN5FbuaLr0vI9/7U8fdsK9X9dHqdvjDms8MeI3LmAaO4mDVWvcHTBMrTXsYznDwMi+LNfbevPn33BM4B2Tnd/rujwgOEv33XONg1X/Z7t+TXM1CUK6H229ZYnlvRPOv+Dky557r5P9p3xOoBw6pX5KLGQexMGbOIOes9nGDZ252Q98Oto1HDowcv3POuH6XzpY+00bpdBcE3o+gXwqhW29Nd1v9Ew660tnXb5XYenhXNh/2jGsu/uJujD7dbNj1/k1qlXNZZBN5tDcO2rr4h0zTrnk3EvW/qcRZX/crxBNnX2XXFWSXP0LNpBCJqFjQ9+UVYt7Dz3ta1/4WmFo+v64uP+k7yzoiJ4tZ/wk3LHs2rc6j5/3ct/Rn77uwit2/CcRYn/f605W05znvznzT4umLf/TrC9l9/eF/ad9//8DKbvze3g2WI4AAAAASUVORK5CYII=",E="data:image/png;base64,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",f="data:image/png;base64,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",E="data:image/png;base64,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",f="data:image/png;base64,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",C="data:image/png;base64,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",O="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEulJREFUeF7tW3d8VVW2/s4lCQQCPEIAUQjS24QylNBBSAL4KD4Fab5RQSPgiOj49A0DT1qAUBXpzS4MJYDOKB2GFkIRQpHOEIQkhBCqlEDueb+9djl7n3tTHHjPf3Ilv5ucu8+556xvf2t9q2jdPPq5bVkWYFmwLA9/Z/+xY2B/ys/oD3Hc/c7X2QBsy4KHzgRsj7iGTafSZ/m9PF52FXE+uyL/B9i2emdHbJu+jR+nX/l57Dj9yHPZcdsL2/bS5172zpZ6bbA7tr3yWmKNPF+8s+ta9DX8PH599rv8Xi9/bm09vx92PX6P8jP29HRMu1fxdM7zAWkeeLdZVpH3Kz075qJ148hnBBAHwuMAIkFih2GCREdoPfvHz2G3wvGw4PUHkrR6PiBZwiBkbPFAElZueAmGAxI7zo0oj7l/ZwaVBjONaQmA+HVzyPjSiLrR2X1xgPjn+hq5efIGiZ+bJ0gEJjeUB3aWZXkaWtcZQGRwtssZg7jBuR3zZxKtl0zT3v9/QJLGFHBqIPHdK3asZJzY/cZnjEkaawAvbC9jhWSnA4Zcx9ljgqRY7g+8f4FJZFN4l1rXDy8RLo4Z2mSSARK5Pk4Tzijh/iS7XGAa7k5zb8rJPTYmOcyg7Zcnkxx3p7ON3J1iH3dhuTKJXDDf6f7YZIDvBkvbKGL3aG5Q+gzHnXuANOt68hKb4gYZjAOkuzsTJOHu/IDEY5bJuLxB4iDn9dLdHUUQ5sr4k0ksyHX5MkU8pCsuqXUaANKgDCRhdXF9AZICJG8mGS7PJyY5bFTxU9ybl9yzAzpjMBmG3SOz57VDi5VI4GTwxyRNMEg39huA5MQfISJUTOIPxY3NGWXGJLnjNUO4WcIVhAKJu7hHAEncm0+s0tydIRb8CgcvrOs/LrIpuiu15lJoKiY5IEmF57g7J2b5U4GP7O5IcTkv2nV+mcRAEgpLyj+l6nRWSTY4AV+pK6Y43TFJqTYz9viLSQVmklKaWqz0AckSAPEonwdIXIIb0pudIoA1VN7/VUzSQCLyKzVu08bneDEmObJbSm0V1A3pzVZKuSzjjmSQCyRiElN4ppTnEtwlFnz+li5Zc3NGvDOVp+nubFhZBxZoMtsPSCImOSDwLMeR2ZYmHNzqz4xJFC2kBPcRDgWISS6QmL3Z3sq+cwtHtqxCRHQfBAQWFTHJl0npZ49g6+I4RMWOQWjlGiLHkiCZ8jnt5EHsX7sYHQeNhDfHi6RVs9G0+yCULFdR7AWe/yiQRKzauPBD1GgWhfCIViJXMgGQm8VQgn7Eg9xoVtb+eTZnB09ShWZWSamTqOoiwgGJjno8sDVVJ4VFvu4ONn65eQ3enAco8W9h8BQJ4PeQx4vlLZRLiB/2oJfPHMaWRXEoWbY8OgwaRddymMQlM2Nc+pnD2LxgLKKGjkNY5VpOLqPijePC0o4fwO5lMxEzlF33CWz/cgru3b6BZwaO4PcphEDWpXMoXioURYNLEiDfzRiOOm3+HdWbdPSTT9FdKeAMsARIxEgBPFttXd03RwEk1RuJCMkcvXpAmWhu7o4B7EjvnOy7SFz2CTJTTuP5Dz/llQRS6TypvXAsCQfXLsGtzHR62KDgEqj7TE80jOkD21PEB6KH2few++uPkHH2GHqN/hQesUaquxtpKdiyeDzlMNFvxiGkTHkfJmWcPoJNC8Ygeuh4lA2v5RjKT56UduoQdn01HTGDx6Fk+Uq4eyMLm+aPwpP1mqJxlwGqMrE2/k38rlMvVG3cjgM07W3UbdtNAVTQmKRXHXSQrKt759i8hMOMW8Rgkg9ISoLLcpDGJI19V1NOYd/qhbielkJGGjA1QZWQGDipx/dh66I4lKtWF/Xa90RA0WBcOJKI07vWoU777mj2fKzBpMzzJ5G0Yjayfj5H13tpxhoCSMahHAa8bePOjUysnzUC4REt8fvurxiqju0KYtD8MYh5Mw5lK9c0YorazUIFZpw/jn8snoAOr41E2FPMHdq4knICQcVDEBJaQYDrBQMoolNvVPl9OzB2fzdtGOq27Y4agkFUdBLlHb+VDp/P+HoJkpWZNMtmLoozwwSJuS1Zf5P5kXR5jvsyQdow+8/IungO5avVI1eQfvow+k9Z5eRWsLEm7g160M7DJsMTGKQqEfvXLMbxbWvQY8QclK4QToxcN+M9XPnnCbpeYLFgXPrpAAFkMTdj2/CIWh0JbdvG/dvXEVS8JN9o5IakcLBxmTFo/mjE/HECwgRAjsuRCSKPSdfTL2DDrBFo+4f/Qvlq9Wkz3Ll5FbeupOFmZiqebtQaHk8A1kwaQgBVbdKeDPvdlLc4QE07GS40N5DyikmUBzKA3EVQd0xyM8kESZaGeOz4Yca7qNWqC6q3iEHS8tk4f3AH+k9ZqRiUcfYoNs79H7R9+X083bA1pWVSOGTfvY3lI19CvQ7PoXHPVwnU7yYORc3WXVG7zbNIXDoTZ5M2OwCxU7WYJNWdqndJcUcgeZHOAJo3GjFvTUBYpZoqjjjuBch5cJ8AYF7gwLefomzlGsh5+AC3r6bjYfZ9LpA8FqLeGIOQ0CewZuJgRET1RrUmHQiQbyf/EXXb9SCAmIFZSqC7L1McOMVTE0An+bau7PmEJ6oi2DvVBFM4FBwkhjffvXuWf4LzB3ei3+QVqgrOWHJq9w/oPe5LFC0eQmUjCRK7i/Uz36dg3HPkAif3Efe3+5uPcHbPJgOg76e+g4f37qqY1ajbHxAe0QI7v5iCC0eTjFjG2OR9+BCegAB1j3JB8xcGo0rD1tj+2SSknjyozitRphzCwmshJOwJ+ikdWhEhoeVheQKInasnxKJB1IuCQcC3k9/kADWLcuVTfup3umz3clB4ciyZD1gZiTMNma1KPUoMSHVnKaXmlINkWYiZ2cyT2BodIE4UC9s/j8fVC2dIOAjy8CqAAGHv8lk4t38r+rG4xYseKh75Ayj5+6+Qk51N645uSUCrfsNQLTIKF5J349bliwZAN6+mEQNrtIxGSOlyqiXB5MtT9ZqiVPnKyLxwCjkPskm5bZj7F1Rp0AoNOvdTxdHTu9ehQtU6KFU+nFxhQtxraBD9omIQi0l12/dE9WadyP3qjJEtD3/VctUeMUpLXliXd3+sANIltVNbc5jkLybpMUoqPB6fgKQVs4hBfeOXKwZtmPXf5Cq6vTdTuD2FAoF08G+f46fNq/DihKUIKhFigOQPIIkAixFfvN0NrfsNQ/XIaBbqKW5wSc4DFYuHG+eOQudhE4kV/DBfx1yRIxS469mycAwCihZDmwF/oqsw0cPOb9ilH2o2j6Y1CXGvo0F0H1Rr0p7OXxM/FHXb9USN5lEiRyoYSHpNUAfSurzrIxWD3MzgIMkYw5lEO13Iab/rCRx+DmNQyqFd6DtpuTrn++nvknjo+s5UWifBlPlP8vqlOLJ+GV4Y/SmCWT4j0iL2tnvpxz4uTqfIl8M4QDUio3lPTggHWRZKOyUBmsQBUg1BUQUXbkYa68DaJUg/k4yuw6cRkDu+mIxbV1IR81Y8V5FeG6vGD0LDmH6o1pTFIC/WTByCeh0YQBxAnsiasYbUnMiHzNYFr27Ihh8l4hk7P7JtChlOJduXSZxF8rg/kMyElq9NWjkbKYxBE/+qkuBti8bi9tUM9PjzHAGO4xoZSPtXL8CJHX9H/6kJKFIkQHVl2R0mfvMxziaZMcgNUKv+b6Mm270ikdWZlHYqWTAoHuWqiERVB0nUjKQcTknegcRls9BzxFykHv+RUofI3kNQOaKlMn7CuEFoFN0X1Zox1ZaD1RMHU+pQk20SoyurlaBUV9ZMXPX1sjloZeyYQQzyUp75eEHau3IOUg7tRJ8JyxS4jFUXj+1D77FfUAWCM8gBie3S9DNH0Gv8V/x+mKFF67ygADEXx/IiCZJ0Y2mnk7Fxzih0eTseYeG1VTvaYJIGEhMrq+NiSVWe3Pk3VKgegdYDhqvKObm4sQPRiBjUka6XMIGt74lakTFO+10xSe9XmZ1bule9I8zYzNh3eft01W7wulyXfybxSgIZTZtbcOdJ7O+9K+eSi2MASZFwctf3FGeYkUIrVecEUCDZWDn6VYQ+VQ2dYkdT65zXLjhIEqAB01fDExBoCAD2B3NxjEHVW0STzXWQmLu7fOqQAGgywqrU5q0F6VJUu1kvxQCb5o3ClfMnUTLsCUQNHY/AoGCnmQdg1ehX0LBzf9Ro3onmG5hoqN/xP1AzMsYlEKS7KxhIyj1e3j6NGMSN7avU8nJ3+YG0b9U8AujFuKWqEs4Kmyx3qN26Kxp3e9lp8lnMgMlUK2vzn3/ipRNmPg0kVhtjLo4A8lO3kwBViojEvoQFaPPSewZIaacPYePsUegyfDLKhdd2zTfojT8e2DNTTmHnV9Nw50YW1e/KVqpBu/z+LzfIXoFFi3OAug4g1SZjUv2OL6BWC8YgvVpuNvz0ARTdtbkr5lb6P6aKPEgOhnB353G3F8TUDyeNIxx0kDxUkeBymhi0ah7J3d7jv3E6tQAdT0neidb9h6PS7yIJpNtX07B14Tj6vccHs2AFBPJzNJASmUjYu5kAYpUEXYJLBkV07oOUgzvgzclBz7/Mg6dIoAKJubgNs0ei63DGoDqCQXJuQQRnFqYfPsCJnX/HoR++QXBIaTy4fxd1OzyHeu2fI6OfO7AVP21ZjWffnY6Mc8dQIrQCgkuFctk9diA4QF0EO/MCycmNcqvZWanbptisgKmqA+yxPYJJecQkR+GxSjY/RweHfb4vgQGUiN7jvzZEyMPsu5QQkuso9yQCixXDtdQUFCtRCs+8NhJlnqzK3agEW4C0xwWQniexKsRfP+hL91CxdiO0e+UDBJUoyd2gKAmln07GegFQOQaQ9PtiDZCD04kbcHRzAn65dgWV6zdDZK8hOLN/C45uXEFFVpYr7VkxC9l376DtS+86SaUYw0oY+yoVTzlA7Kv5pJCZDzmdWznS5WaRZJJ1aetkYpAESRpGdlmVi9OYYeY+XOFJJqlYBAuZF07gl6wreLpJB59xLlZ1vngsCawoyXZsmYpVULVpBwQFszqa09qQILGHzfjncdzKTOX+XrBVgsTU4vbP4lG/0/No3P1lWO6KOGtLnDyEDXNGoes7U0gkyMYGl70cyJ1fT8WN9Ito0LkvJa/sA++DbGya/yG5OpaEJq/7Gs17DUGl+s1x92YWWKW9SGAQrqWepwp4kx4DUbVRWx70ZSuDJLwvY/yNc+lsslK3xNPQiA6SSFo4K7S2g84Q57hQYgwkrW1Oaz1yJEuukXmVbEvIxp82Z+czfOIwiWzoEg5SKXgf3MPF4z9SuSa3FwE0eySeZQBVqcOrxmKxBCmHjM3KOCLFFZNC9+/exrbF46kKEhZeEx1jx9DzHd++FofXLVVfGVyqDKIGj0NQcMi/0DrnJR4DoEtb4olByp1oEz4kHAoAEsUkNkQiQDJyIqkMZVIqJ1hlV1Z1Z0U31md6lYHIQZK9pNxAcsckN1B3rmfi58OJqNqwNYqVLMObfn5A8lV3smSeg6xL51G6QiWKgezc7Hu3cVv0tBhrS5V/UiSavLpuFkd529ycUtXVnckwurdLmyepSoIEyYhJfmYVpCEcILRqA1OCLlC5y+KG5sxzzTfI6VUCWbo34by0UWQ3SCK/VnU8yYb8urIyJrFvMMe5RC6iYpIjHPiu1gdPtLxFmy5yz8pRz8oYdGSpc+7CwV2nsy5umqjNZjMm8Z3sgMQ7pVKKq/KO35jEJ1OVbPfXlVVu0M8QimCsoxTzB4lvFqegKrZCvjN3Jkg8y1cz5T4jxpoE1w0ugFRG9dM6p3KNwSR9DFlWrrUmnSiWClDTCCAZW2RckQPwTq3NP0gmM6S8LiLGh8WwfJ6tc84m5/v1mMQtb3yHYKE/d8c3BXdqVEWmumGu4Yh/INRdwZgkEkxRGnIXViXDbOTkkqDqTHJA0guj5NK08hBsLLV+3jjB6Qdp7kw20XSQaK5AEwI8T3GEhCMcWOucH/dbAWdn5TbfoI8Yu9ydj6uULkpMCskaoQRJfndeMOU+vSoCNg1oOAORElhSd67iqsOk3FyYCZIjvx2GOgVWO6sYijW0LmyIE+0GbcdqQFEzXAZ2zdWZrXB5rh5jePs8X5BUjNGZ5BYMUvU5ao85JD6uLOJILiAVhEl5g6QNFop5BU4+Z4bOqKFJd5ZrnBHNONmU0ydceYE3DbZ3W7GcoPeLt3j9orV7/sD5AGJz22Wt3liSn6PIx48UfvwoFrCOLR8ddOPaz9sAu6W/CxUC9CjmffRziR3758dWzEbOAcDmY5PaqxCgRzfyo1xBua+kxQNbenOwzbYRVAjQo5j08Z5rxJc9C1+L9Xq9LCapVyGDHq/Bf+3VfASAWzQUAvRrTfp41/sA5BYNhQA9XoP/2qv5ldC6aCgE6Nea9PGuzzXHkaKhZewS/j/cFL5+EwvkmYQy0dDi9UULfpM7K/xSssD/Akhf9+xkhHlgAAAAAElFTkSuQmCC",Z="data:image/png;base64,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",T="data:image/png;base64,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",Y="data:image/png;base64,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",j="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAgCAYAAAD+Fz2gAAAAAXNSR0IArs4c6QAAFB1JREFUaEPFWwd4FcXafvekEiCEQAIBpSaEjsDV0Jv0IlwvAUTsgAjCI1iuCPiLtCvdcvXaUFSaaJSSGClCFAgloQYCQQIkpIeQkF7O2fvMNzO7sycnwevfzoMmZ3d2dvd75/3K+000ACi5+s19jiqs1qAN0jUtSIMGTdPYKf5TY9/pizju/JOP0wHomgYbXQnoNjGHTpfSuXt9bA42i7iezcj/Abpu/GRHdJ3uxo/Tr/w6dpz+k9ey47oDuu6g8w72kw116GBPrDvkXGKMvF78ZPNqdBt+HZ+f/S7v6+DvrYznz8Pm488oz7G3p2PKs4q3M98PyLDBcVjT3F67b/TSWxoDp6rCfk6D5g/NZgIiQWL4wAoSHSHg2D9+DXsUjocGhyuQpNXvAZImDELGFi8kYeWGl2CYILHj3IjymPPvzKDSYFZjagIgPq+djC+NqBqdPRcHiJ9Xx8jFUztI/NpaQSIwuaFs0PM0zdZNK0jYvBU6HuNEsUGCxO14bybReMk05ef/DUjSmAJOBSS+esWKlYwTq99yjjFJYQ3ggO5grJDsNMGQ4zh7rCAZLHcF3p9gEtkUjm1awYUv0gEEcUNLZnBWWEBi3wlaGsXZw/0ed31OYFrcneLeDCf3P8Ykkxm0/GplkunuVLaRuzPYx11YjUwiF8xXuis2WcB3BktZKGL1KG5Q+gzTnduADC3/3Cad4oYwNgeGGd0VSMLduQBJgqXGrtpB4iDX9lHdHUUQ5sr4m0ksyHVVZ4p4Sae4ZIxTAJAGZSAJq4v5BUgGILUzyeLyqsUkk41G/BTP5iD3bILOGEyGYc/IFv2ds5/rMhHgZHDFJCVhkG7s/wEkM/6IJMKISfyluLE5o6wxSa54xRDOLOEZhAESd3H/DZDEs1WLVYq7syQLLhMHB7T805/pFN2NbM0pQzOYZIIkWWK6O9Md/q+4O8q4zA+tOpdMYiCJDEumf0ZWp7JKssEM+EZ2xTJO55hkZG3W2OMqJv1hJhmZphIrq4GkCYBECl0zSAwAkeEpiQBbrRlJ5+B/X1vU8fU3YpYzSCkXYuEb2BwNglrxFPzPxCQFJCK/kY3rtPA5XoxJZtrtcFRB09xESuycerORMl2WcUcyyAkkYhLL8KypPE/BnZKFat+lS1bcnCXeWTNPq7vToeXFf0IuznRzMqU2j9F5I9XmVQ47Vllegoilz6Lfk6/g/k5hok7SYa+stNRLP658HiG9R6LjkEdpDJtBs9mgeXjyueT/NSAz6RyyriW4DE0mKAQDmrTtgqDgLgSKCRI34rWTB5H46y4Mem4RfHwbEUiOqkqc+ekbWViJGkugK90ldHjV90No79Gmu6OMoAqlhfkovJ2JO2nXkZuShPysVAyZ/iayryUgN+Wq9LuS20aJU9e/CVp161c9NXcCysixlZik5cX9S+fsYCm2CNzO7s6pQL0RHwP/+4NR168xIt5+Fv2feAV+zVri4MdvYeAzC/HThldqj/4AWv9lEPo9vsAoZiVQZyK/RsL+najfqEmtcxTezkLXEVPQbcRjhvtjrk9kDCi8nY6YTatQWV6KQTOWwK9xc1RVlGHH4mlo1CIYXj6+NDTnRiK8fOrDN7AZ2acoNxM2Dw8MnbWMDMxWdNyuz5B66RTslRV0jZu7Oxo2aw3/5m3RqscAXI2NRmrCCQS0CDXB4cTBncybqN+oKR4cP8NcEC7rKM4kYiRdy+OldvvUhwZAMnuTLkgyy8jQqBLVELttIwJbd0SrHgPxw7Ln0HfaAnqwpCNRGDLzTRQX5FlS9H3vL0TrngMR0ncUZYvs1u7ePvCp51fN3Z2N/ApJR3/GpFVbawSIFZfbFk5Gx4Hj0XXkVCW7Y3HeBKmqvBSHv1iFO2nJGDx9Mfya3I/tix7HoOfeQNOQB+i6fR+8jsA2nYx5Eg5+h7TEOAx9YTmfVwduXTqJkoLb8PFrjPjdm9CuzyiEhA0Ta0HH+X3bkXvjCgY/txhU+CrqQdzuTbBXVXCAasnuVNVBBUm7ffJDXUo5zF+rTGLptwUk8f3K0UjczbqFHmOfMQDKT7+BqsoydB/7NNISTuJ2WrIACbhyJIriVGDrDgQOg7nzsElw8/SuFpMYQFfvARB70e1/n0QAPTByKuysPJPAGMUpL1LtlaU4+f0n6Dp8Cjzr1sOONx5Hl2Hh8G/Whgx5es9m+AW1ROseA2l8yoWj9G5DZ68wXBK5VrHq96ybh5DeI9AubLhRB53fvx251xlAS8xUXYw/tedzYt5DE2a6VjqE9GPWZVYmabknPtBZPOCqAfNyJki6or+pQOXeTMLpvV9gyIy38OPyGej7+HxcjzuMlt37oeUD/cj/M9chtCCknj8O34BmZAj56TVxFmxePqLIFVqeBhgArdxaa53EAOowcDy6j5zKpTV2N5Hdqek41+D4S9sryrH9janwrucLN3ce/0qL7sDNzRMedXzoe2VZCbnuYXNWWtQCmbbvWTsX7fqMREjYcAGaA+f3bUNWciL6TJnHGaQY/fyBHfT9ob8+byYrarbmIsmQz0vvwwByFkGdY5IzkxxVFYj78XN0H/8Mdi9/ngCqLC1B05Au8PEL4IZV4taPy6ajXb/R6PzwRM5QCjhcmaAyU2p3GnAm6mtcjtmLvtPm1wrQkc3r0Gnoo3hgxFSub/EKCI6KctxJv27EWzZ94xbBNKKKAbRwKgbPWIyg4G70GNHv/R1N2nZCt1GP0zUJB3Yi7dJJDH9xlQHQb1+tRvHtLBpflJ8LL28feHj70D0fnvEmmFtMjo+p0SUHtGyPsEefr67xKeKpVf8zi28t5/j7vFAVmZXU32oDKS/tGuBw0Asf+XotOg8LR2CrjvD0qUeZ080zR2p8WPXEuNc/gF/g/QZI7CnORvEk4Y98uo56jAzLVq0E6U52KvasnG25fNqa7wGbjZKE7QsfQ69JcxDQpgMVpr9uXo2Alu3QfuAjPI4e/QnZyZcwfO4qY8WzJKC06C4qSgrJUwS07gD/5m0I9A79xqK85C7KigvNJIAKXiqdCRQ3Dy/4NPCvrt+pabuDg8KLY6GeM0yyY9+zpNlGyk0uT83uNDCXx85HrpmLipKiajZsGtIVPcdPR0VpkaF2S6ZwokjdjmWMQIMmLeDuyVwNm1ssEnsV7BRVBNEEw1wBZrO5Q3NzJ2PIGGSvqkRBXiYF99Rzx3Am6hswgNi4qopSbHt9yj2x9wtqgeEvvsP5rRStV45G4cLP2xHaZyQ6D51suDhWI6njKGQ5HLApsYvHGEWWchZcZXvEIi05oGUde9cAyOz9qGqCCZKMSWwlMnOmJ8Yhftcm9Bj/DFp06Q3N5gYPLx9kXD2LnGuXjCRBxiKytTD4A6OmQXP3EN/5GQMkCYqQD+Q1tVmWAcKLPNPdJZ84gGPb3sO0td9Ds7nTyiwvzld6ScCBj9+i5KXz0HDDyJobfw9DOhJGi974KtVBmk1Dr4mz0ax9T0qv4/d8IR5NZpDVn7RVt77oOPCvNYKkaoIqkFrW0Y1GDFILVpNJUjTldRIZUTApZtNy5KVeg3d9Pzw8ayl8GjSiMReityH51C8I6tDDAEQ+clFeNqWkk1dthbtHHRpfkHEDkRtedml/30ZBGLfoI1QUF2DnkqdqxGjcQu4umbuTIF09sR+x297DE2sjwIxeXlJsuB2Z1h746E0EtOmIrsMnU/OOrmXBWbPBzdPL6CNlJSfg4oHvUJibgaDQ7khPjEfv8Dmo4xeA2ylJhsB6NzcDSceiEdpvNOqyeCxS9br+gfBr0sJwc7KdYW1dcHWDl0C8QahlH9mo60J/cZVS8/jEWSQZxkDKS7+G+IhPUHwnBy279aGqevCMJbTyzkdvR+bv5zBy3hp6YVWMvXnmN8Rufx+TV26hNJvpCvkZNxG57iV0HDyBsj2p3KSeP4bC3EyMX/IpyhlAb0xDSJ8RaNQixACKXXs5Zg8eWfwRGjCA2P2EoRlAnEER0B12bHkt/J7uTQ5gbm7kvNUiVS/Hvn8uQo9xTyN227to138MbDY3XDwYgeGzl8GnfiPRXLQj+/olHNmyAQOeehUNg1orqbopQRnujkKVte+kaoLU4Mv+bQMxyEFhwXXd4wySw2FHzOZVJN+c+v5f6DV5LlIvHIe9sgx9p72ChP3fIik2GnXq+1ljCTQK1OUlRZi0Ygvc2QrVNOSnpyBq/XwMn7MCTdp2pmscLOXe/SWYjqcCNODpV9Gyx0Bj3vTL8Tj44X8ZAEn6sJj0+4n9OMoAWhcBm2ZDWtJZo0LPTLpAc7NP3YaByLmeiAf/NhN1WPHMCmlPbzRq0Y5+PxP5FQqyUjDgqdexa+XzCO0/Fu36jkLCwe/RadAEVJYUU8xh5s5JuYLjOz9Cnylz4dfUZIynd13ugpW2eY3CqohhxL6sX9cb7QZmFJVF1WMSZ1HCwZ24m5uOB//2AiJXv4iwyS+S7HHo06UYOmsprsb+jLRLcXjw0VlK44/Hmczfz+PiLxGYtOIbMgL7MBZErX+ZAApo08lIu+P3fInUC7GYsOgTlJXeJQb1ZwB1H2DsmXAJkPBxycf3EUBPrPsBJUUF8PH1p/tVFN/FnjXzEBY+G+ejt6JJcBda6XcybmDIDFZsik6sDtzNTkPUxgUk/TRs3ga7VswUAI023GHkmnkoKyqokZ1u7h4Y8/JG4e7+GEgSPC3r13XEILErxMjUanJ3BVlpiPlyBQY/+ybqNGxMGV3YpDlo1uEv9OIsHiXs24HUiyfQdcRjRttctgtybl4hAMOXfy0AYjHoJqI2vIzhs5cjsG0nalQxSej0HsGgRZ/Q3N8uVgDivhM1AsQE0+P7cWzruxi7YD0OfPo2Hln4Abzr1EfMF/+AvaoKg6Yvxk/rF6BpcBd0HjYRu9+Zi9D+Y9Bx0AShCIBUgFO7PsdDVMc48OPymQgdMAahfccY7osBy7JHlqgwIfVs9Bb0GPMk6gcECcZqVKQbRnfBpJrYpGXGrBV1kKliM3fHXILaHeWFpw0OeyUSY3ajy9BJqCovw9518wigoPY9YSNFAri4fweunToIv2atDK2aLy+NYklhTgbClzGAhIvLuEkCK/PnjEHsPiwOnd27GSnnY/HIYg7QTgUgPhuQfuV0dRcn1rIEiKkEQcFd0WvSbBz/9kNkJV/E6PnrUM+/CaI2LEDTtl3QfdyTSLt8msDjGt8UsWsFcNirqMPMPj8sn04Mat+PA2RKNFwOyr12ETFfr8GgZ96Af3MWg6ypuhUk8/oaAUo/vEZnq9UI5Oy1baLmqTEm8c5rZVkZIte/hLDwOQjq0JNDoGm4uP9bsKxn2OwVRutcFsApZ4/g+M5/Ivztr3iSoAH5mSkEEBNgverWl1giPyOFXnrCoo9RWlKI7xZPQ+MWIajj18hwJ2WF+ci5ftkag8TZ3zavxo34X9FpyKMIeehhHNq0ioRL5oZ9A5rTqMj189E0uCu6j2UZogO3LsVR8dq8Q0+SbpgkpG7hYgC1HzAOof3GQrdXoby02ACBrarcm1cQu+N99J06H/5Brcw+kq6TnMSLULNzK7d0GUA7ga6lHVpNDJIgydUru6xmcWnGJynjMAaxFwybOJsDJICWADFFWIqvpQW5yLlxGVePRVPmN2HRZ7C58dS9gAG0kQHUAV71eBuAAcpiE3uj8Ys+Rjlj0JInCCCmKlNNBqD8bj6yrye6BCjx0A8kyQT3HkF9priITzFs1lJ4+/Kqnk1hADTuaeGOHMSkM3u/wtDZy+DpVZfXR6KQjFj2HAHUvv8jKMhJRfSGV2uMPc4nxi7YAHcvbyeNr/p2LpVNWvov79CmERUkuVNHBUl1dxI0ewUDaAHCJr5ARRuvkTQkHopAdvJFDJ75lpDlbCgrysfhz5ZRm4EJjW0eHGIwrjg/h2R8Vryy9Fay7VrcL7h94woeCp8D1jo4smUdOg2ZiMA2Hbm0Y9OQd+t3nIvaSu7Lp2FArcbSKyvg5ubBg7uod/Z9sBBN23amdoMpsjrgsNupqciNJVY9dOxd+xLa9R6B4F4jKCPlorBqZPEISm9HFrwBLUO5+3ZSEcyuLJd4LACl/fIOMYjaAApQfxQkIwVnm0jYzRV3yYEU87LGgtG+MLuy0i3KloezcMvP85gke0l0DxGD5O5VGZMU+cI1WLrOJRgFJJnAkOHohJBe+RcDJFlU8iHWjZP8nLqpUSgbFpfF2+bWXarc3fEU3BqTiOVpB/9hKAkSJEtMkhme2hviVlO2BStqA6vVxSYUa8OPG1omG9YERNnOZWz/EiZX9tw5g/Rn9zcwQ0iQrNu5hOH/U5CU3UXOe+XUXhJnBmnu1cCoaX+DduvAqnRN04KkwWkvFuUJ5v442T4wGeC0w0dlhtE6t+5t4IBUB9VgkFQciInsKAP93iDJIZI56v6G2v2dChKv8o095U5tZ6vIaTbvJNsMl2Rs1VJ3/zgzSd2GLJVrpUkndD/Bpgwt7eCqrTpt/TUNKjfAm9ocV59lveSaGdJFuonMTWyWd+7KMpBE65zPo7g7uVvVeVercHO1uTv+bBwSYgfphveI3/8Rk0SccdrOZXF3NMRJ2Rauy8okEyQVfHJpSgMPOrZptw69cx/s+jlA9zc1Mw4W9VktO01dGN3Y7aMyhnVl+XdXXVlikgGSi3qLrKwq6pxJplsUrtKp4SeFXAmSvHdtMNW8e1UEbNqgIWOSud+B4eQQPRypRJtMqsmFKeyTf3Hh1IZQ6qQ8b3h3ozXGQNIcjtW6jkHS3Um2mCBZWaS6O3MPtxpjGD6MTfcAyYgxKpOc/9xFCK7KX1Uwh8S3K1u7ss4g/REm1Q6SqXDLXauSNbyoURMGs8apOc6IZpxsyqk7XHnikgHdcdjb7vmaT68Zt/4NR6wL8X1JNbgAAAAASUVORK5CYII=",z="data:image/png;base64,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",y="data:image/png;base64,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",H="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b0dEy7V/F09vMBST6Y2wwjYNgzbcd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",C="data:image/png;base64,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",O="data:image/png;base64,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",Z="data:image/png;base64,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",T="data:image/png;base64,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g1ehbNN6z6eDiVsiLb9kTKni04uWMdnnprrk29PShIkknGtYTZxCCx/JVSexB3x0BiDDqduOGBY3HNJu0Q/cJbto6sXnjllW8DRfdy4BcYjNgpf0XlelHoMGScGkI5sX0t9q9ZhPDakZTIlvi6D5PsjNIbf4JpWnf2blYG1v1jNFo/8yoebtmJjL716w8RGl4VrfuPpNUe+9EwAqhBuyeRsudXnEhYh95j54LV8jLOHUflulE8VNg6v15mHLRKg3E1/jORB1lVbObuXM72ApV5mItj5rCEw7H4NSQSuo+aDhflUVyKW4pQVikMJCyZiYDQ8mj/vGSQ0NmiipGTeZVYcenwbty4dBrRz72BHUtn46m356N85QhiZ/qZZMQvno6iwgIySou+w1Ty6hUoB0iqSabcnZTXOpO0oqsA6cjWlTgRvxZPv/cNyvgF4PbVy9i84F206P0SHm7VlX46dvJLaNxjICLbPkEMOpGwFr3HzUNe9k1smj8R3V6dhJAKlVVM0ks8JfWRjLTt/zBZu1u1G5gZXCLnKSUmSRd2PP5nXDyUiMcG/J2D4wDIikMGDm38HiHhVRH9/JuqfcFqbqyImnk5Bfk5d1C2UjVUa9ACD9VugH1rF6NOq65o0XsYioqLcCJuDZI3L0doWGV0fW0yziRtwbGtsajTuivaPjeaEl3vIJlwWZ0KUYHmR5KqUmDZJ39ky4Epq3UzR1MbpO2gN8AKuwlLPsWtq5cR89YcuMqUIaOvmvwSonoMxCPtnsTppM0EUJ/x83Ez/QLiFk9Dr1HTqP5oCQFrpMtjCEUksUZq3CxikASJsYRuWDbjZOvBgxkc1OPxa3F656YHdnEsXkQzBgnWFOTnYvfy+aj2aHNUf7QlQsKq0HVZ5s4qxn0mfgnGrIR/zqQSUdUGzdHpxfHwDSlLv5myazP2/vQVwmrURY/Xp/FipbeXaYHExZTVAPQEiRAThgSunTmK3xd+hC7DJ6JKZHMSCuf2xaHdc28gIqqNKpqumvQionoOIheXemwvklZ9hTotuyAr9SxVHPqMnQe4XCXEJM8iLd1j2raZNDSigyQndXSQVDnI5r4MnNqxHpeO7kH31z4WeYs2quWSI1k832HVb1adfqz/SC+DkfZJIcYOlpjWatIe+bnZ2LbwI0Q9PgA1mkZzljITisHI9JMHyGAdho4vdaE8+Myd3d3lZF7DqZ2b0DxmMBWTT+3cSHdQv10v0WLnx+9fuwjVHm2FynUbo7ggH0e3/oSs1DNUVYlo3IYn2F4HI7VirmMuz0jdNpMYxFaVjB1ywocCjsakkkCimMSGSBj7HACqpFZWDkQsk7FKvZc4vcoHWSh11KZXnSBJ9ypLSCULhz/PJFV51tsFXmbuuAvjdUZ7K4ENRsrJVKukJLuyTvCIQam/f6oqCRIkW0ySCk/vDXGr2oQAB5cLAinBbUqQThGVAw8Boo1zqfEvYXJt5s4JkvfWuRQepZBJc3f2cS5vMcnu7ryCpE0XeWv42UCicSovLQ3ZOneAalzZOiPNMIyq0uA0i0XEsebjZCNOHlMSk+RkqpLtzoafGowsYQhFMNZSivcHSdXyZPFVSpX7zNwxo0nhQHOkTO0JTO0xSax4VeS0mne2rqya0nHGEieT9DFkWbnmLk7ONoi6E9uWbqT+PmOZSaO/lsyWA/CWXKYyg8dolgUU38+P91HDI7wk5OjKMpBU61yyThtCUedwcGy/IVjozd2peQrmCrkroJyu1Ne/xSQxbOJo+CklKHMbFJcQZzRgaYxLAmnlXwokwSKYWG5ciZtZA8VmMmCGKaktjEQOyzZpKguYmtHVtI8OBuvK8u/eurJkeMd8gy0WCRXJwXGMIOuukmrNHAy9uEqnM3vKRVUKSiVPr4oSDw1oiHagPu/A2kmih6OXasidlejC7CBZfyVhB0nEpKwABDSlNcZAMtzuWaaJLtLdSTdlgWRnkZ0ZcrXrMYa3z+8Lkoox+jiXAEVNEwmGaX9VwRwSFzOlg/QgTCodJDnGZQfJXtS0/1XF/UCy/pRFMknLv4B0mO7tAcV+E4LavnLlX3lTS/GLYAyLAAAAAElFTkSuQmCC",Y="data:image/png;base64,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",j="data:image/png;base64,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",z="data:image/png;base64,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",y="data:image/png;base64,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",H="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b0dEy7V/F09vMBST6Y2wwjYNgzbcd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index f15717a604..de52007e23 100644
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diff --git a/layouts__SimpleLayouts.fc9ac778.async.js b/layouts__SimpleLayouts.ec5008bd.async.js
similarity index 99%
rename from layouts__SimpleLayouts.fc9ac778.async.js
rename to layouts__SimpleLayouts.ec5008bd.async.js
index f98d33a059..4b29479088 100644
--- a/layouts__SimpleLayouts.fc9ac778.async.js
+++ b/layouts__SimpleLayouts.ec5008bd.async.js
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",he="data:image/png;base64,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",ie="data:image/png;base64,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go.PathSegment(go.PathSegment.Line,.25*b,a)))}),go.Shape.defineFigureGenerator("LineDown",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(0,.25*a,!1).add(new go.PathSegment(go.PathSegment.Line,.5*b,.75*a)).add(new go.PathSegment(go.PathSegment.Line,b,.25*a)))}),go.Shape.defineFigureGenerator("LineLeft",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(.75*b,0,!1).add(new go.PathSegment(go.PathSegment.Line,.25*b,.5*a)).add(new go.PathSegment(go.PathSegment.Line,.75*b,a)))}),go.Shape.defineFigureGenerator("LineUp",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(0,.75*a,!1).add(new go.PathSegment(go.PathSegment.Line,.5*b,.25*a)).add(new go.PathSegment(go.PathSegment.Line,b,.75*a)))}),go.Shape.defineFigureGenerator("AsteriskLine",function(ce,b,a){var ee=.2/Math.SQRT2;return new go.Geometry().add(new go.PathFigure(ee*b,(1-ee)*a,!1).add(new go.PathSegment(go.PathSegment.Line,(1-ee)*b,ee*a)).add(new go.PathSegment(go.PathSegment.Move,ee*b,ee*a)).add(new go.PathSegment(go.PathSegment.Line,(1-ee)*b,(1-ee)*a)).add(new go.PathSegment(go.PathSegment.Move,0,a/2)).add(new go.PathSegment(go.PathSegment.Line,b,a/2)).add(new go.PathSegment(go.PathSegment.Move,b/2,0)).add(new go.PathSegment(go.PathSegment.Line,b/2,a)))}),go.Shape.defineFigureGenerator("CircleLine",function(ce,b,a){var ee=b/2,x=new go.Geometry().add(new go.PathFigure(b,b/2,!1).add(new go.PathSegment(go.PathSegment.Arc,0,360,ee,ee,ee,ee).close()));return x.spot1=fe,x.spot2=he,x.defaultStretch=go.GraphObject.Uniform,x}),go.Shape.defineFigureGenerator("Line1",function(ce,b,a){var ee=new go.Geometry(go.Geometry.Line);return ee.startX=0,ee.startY=0,ee.endX=b,ee.endY=a,ee}),go.Shape.defineFigureGenerator("Line2",function(ce,b,a){var ee=new go.Geometry(go.Geometry.Line);return ee.startX=b,ee.startY=0,ee.endX=0,ee.endY=a,ee}),go.Shape.defineFigureGenerator("Curve1",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,b,a,ie*b,0,b,(1-ie)*a)))}),go.Shape.defineFigureGenerator("Curve2",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,b,a,0,ie*a,(1-ie)*b,a)))}),go.Shape.defineFigureGenerator("Curve3",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(b,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,0,a,b,ie*a,ie*b,a)))}),go.Shape.defineFigureGenerator("Curve4",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(b,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,0,a,(1-ie)*b,0,0,(1-ie)*a)))}),go.Shape.defineFigureGenerator("TriangleDownLeft",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,b,a)).add(new go.PathSegment(go.PathSegment.Line,0,a).close())).setSpots(0,.5,.5,1)}),go.Shape.defineFigureGenerator("TriangleDownRight",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(b,0,!0).add(new go.PathSegment(go.PathSegment.Line,b,a)).add(new go.PathSegment(go.PathSegment.Line,0,a).close())).setSpots(.5,.5,1,1)}),go.Shape.defineFigureGenerator("TriangleUpLeft",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,b,0)).add(new go.PathSegment(go.PathSegment.Line,0,a).close())).setSpots(0,0,.5,.5)}),go.Shape.defineFigureGenerator("TriangleUpRight",function(ce,b,a){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,b,0)).add(new go.PathSegment(go.PathSegment.Line,b,a).close())).setSpots(.5,0,1,.5)}),go.Shape.defineFigureGenerator("RightTriangle","TriangleDownLeft"),go.Shape.setFigureParameter("Parallelogram1",0,new de("Indent",.1,-.99,.99)),go.Shape.defineFigureGenerator("Parallelogram1",function(ce,b,a){var ee=ce?ce.parameter1:NaN;isNaN(ee)?ee=.1:ee<-1?ee=-1:ee>1&&(ee=1);var x=Math.abs(ee)*b;if(ee===0){var te=new 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go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,b,0)).add(new go.PathSegment(go.PathSegment.Line,b-x,a)).add(new go.PathSegment(go.PathSegment.Line,x,a).close())),x<b/2&&te.setSpots(x/b,0,(b-x)/b,1),te}}),go.Shape.defineFigureGenerator("Trapezoid","Trapezoid1"),go.Shape.setFigureParameter("Trapezoid2",0,new de("Indent",20,-1/0,1/0)),go.Shape.defineFigureGenerator("Trapezoid2",function(ce,b,a){var ee=ce?ce.parameter1:NaN;isNaN(ee)?ee=20:ee<-b?ee=-b/2:ee>b&&(ee=b/2);var x=Math.abs(ee);if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=b,te.endY=a,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(x,0).add(new go.PathSegment(go.PathSegment.Line,b-x,0)).add(new go.PathSegment(go.PathSegment.Line,b,a)).add(new go.PathSegment(go.PathSegment.Line,0,a).close())):te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,b,0)).add(new go.PathSegment(go.PathSegment.Line,b-x,a)).add(new go.PathSegment(go.PathSegment.Line,x,a).close())),x<b/2&&te.setSpots(x/b,0,(b-x)/b,1),te}}),go.Shape.setFigureParameter("ManualOperation",0,new de("Indent",10,-1/0,1/0)),go.Shape.defineFigureGenerator("ManualOperation",function(ce,b,a){var ee=ce?ce.parameter1:NaN;isNaN(ee)?ee=10:ee<-b?ee=-b/2:ee>b&&(ee=b/2);var x=Math.abs(ee);if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=b,te.endY=a,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,b,0)).add(new go.PathSegment(go.PathSegment.Line,b-x,a)).add(new go.PathSegment(go.PathSegment.Line,x,a).close())):te.add(new go.PathFigure(x,0).add(new go.PathSegment(go.PathSegment.Line,b-x,0)).add(new go.PathSegment(go.PathSegment.Line,b,a)).add(new go.PathSegment(go.PathSegment.Line,0,a).close())),x<b/2&&te.setSpots(x/b,0,(b-x)/b,1),te}});var xe=[];function Ee(){var ce=xe.pop();return ce===void 0?[]:ce}function Le(ce){ce.length=0,xe.push(ce)}function Oe(ce){for(var b=Ee(),a=.5,ee=.5,x=Math.PI*1.5,te=0,ae=0;ae<ce;ae++)te=2*Math.PI/ce*ae+x,b[ae]=new go.Point(ee+a*Math.cos(te),ee+a*Math.sin(te));return b.push(b[0]),b}function je(ce){var b=Ge(ce),a=Ee();a[0]=b[0];for(var ee=1,x=1;ee<b.length;ee+=2,x+=3)a[x]=b[ee],a[x+1]=b[ee],a[x+2]=b[ee+1];return Le(b),a}function Ge(ce){for(var b=Oe(ce),a=Ee(),ee=Math.floor(b.length/2),x=b.length-1,te=ce%2===0?2:1,ae=0;ae<x;ae++){var le=b[ae],pe=b[ae+1],ve=b[(ee+ae-1)%x],be=b[(ee+ae+te)%x];a[ae*2]=le,a[ae*2+1]=oe(le.x,le.y,ve.x,ve.y,pe.x,pe.y,be.x,be.y,new go.Point)}return a[a.length]=a[0],Le(b),a}go.Shape.defineFigureGenerator("Pentagon",function(ce,b,a){var ee=Oe(5),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<5;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.2,.22),x.spot2=new go.Spot(.8,.9),x}),go.Shape.defineFigureGenerator("Hexagon",function(ce,b,a){var ee=Oe(6),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<6;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.07,.25),x.spot2=new go.Spot(.93,.75),x}),go.Shape.defineFigureGenerator("Heptagon",function(ce,b,a){var ee=Oe(7),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<7;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.2,.15),x.spot2=new go.Spot(.8,.85),x}),go.Shape.defineFigureGenerator("Octagon",function(ce,b,a){var ee=Oe(8),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<8;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.15,.15),x.spot2=new go.Spot(.85,.85),x}),go.Shape.defineFigureGenerator("Nonagon",function(ce,b,a){var ee=Oe(9),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<9;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.17,.13),x.spot2=new go.Spot(.82,.82),x}),go.Shape.defineFigureGenerator("Decagon",function(ce,b,a){var ee=Oe(10),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<10;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.16,.16),x.spot2=new go.Spot(.84,.84),x}),go.Shape.defineFigureGenerator("Dodecagon",function(ce,b,a){var ee=Oe(12),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<12;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.16,.16),x.spot2=new go.Spot(.84,.84),x}),go.Shape.defineFigureGenerator("FivePointedStar",function(ce,b,a){var ee=Ge(5),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<10;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.266,.333),x.spot2=new go.Spot(.733,.733),x}),go.Shape.defineFigureGenerator("SixPointedStar",function(ce,b,a){var ee=Ge(6),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<12;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.17,.25),x.spot2=new go.Spot(.83,.75),x}),go.Shape.defineFigureGenerator("SevenPointedStar",function(ce,b,a){var ee=Ge(7),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<14;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.222,.277),x.spot2=new go.Spot(.777,.666),x}),go.Shape.defineFigureGenerator("EightPointedStar",function(ce,b,a){var ee=Ge(8),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<16;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.25,.25),x.spot2=new go.Spot(.75,.75),x}),go.Shape.defineFigureGenerator("NinePointedStar",function(ce,b,a){var ee=Ge(9),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<18;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.222,.277),x.spot2=new go.Spot(.777,.666),x}),go.Shape.defineFigureGenerator("TenPointedStar",function(ce,b,a){var ee=Ge(10),x=new go.Geometry,te=new go.PathFigure(ee[0].x*b,ee[0].y*a,!0);x.add(te);for(var ae=1;ae<20;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*b,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*b,ee[0].y*a).close()),Le(ee),x.spot1=new go.Spot(.281,.261),x.spot2=new go.Spot(.723,.748),x}),go.Shape.defineFigureGenerator("FivePointedBurst",function(ce,b,a){var ee=je(5),x=new go.Geometry,te=new 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go.PathSegment(go.PathSegment.Line,b*(.11+.24133333*2+.028*1),a*.1)),le.add(new go.PathSegment(go.PathSegment.Line,b*(.11+.24133333*2+.028*1),a*.8)),le.add(new go.PathSegment(go.PathSegment.Line,b*(.11+.24133333*1+.028*1),a*.8).close());var pe=new go.PathFigure(b*(.11+.24133333*2+.028*2),a*.1,!1);return ee.add(pe),pe.add(new go.PathSegment(go.PathSegment.Line,b*(.11+.24133333*3+.028*2),a*.1)),pe.add(new go.PathSegment(go.PathSegment.Line,b*(.11+.24133333*3+.028*2),a*.8)),pe.add(new go.PathSegment(go.PathSegment.Line,b*(.11+.24133333*2+.028*2),a*.8).close()),ee}),go.Shape.defineFigureGenerator("FloppyDisk",function(ce,b,a){var ee=new go.Geometry,x=8,te=x*ie,ae=new go.PathFigure(x,0,!1);ee.add(ae),ae.add(new go.PathSegment(go.PathSegment.Line,b*.86,0)),ae.add(new go.PathSegment(go.PathSegment.Line,b*1,a*.14)),ae.add(new go.PathSegment(go.PathSegment.Line,b,a-x)),ae.add(new go.PathSegment(go.PathSegment.Bezier,b-x,a,b,a-te,b-te,a)),ae.add(new 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go.PathSegment(go.PathSegment.Line,b*.78,a*.25).close()),ee}),go.Shape.defineFigureGenerator("SpeechBubble",function(ce,b,a){var ee=ce?ce.parameter1:NaN;(isNaN(ee)||ee<0)&&(ee=15),ee=Math.min(ee,b/3),ee=Math.min(ee,a/3);var x=ee*ie,te=a*.8,ae=new go.Geometry,le=new go.PathFigure(ee,0,!0);return ae.add(le),le.add(new go.PathSegment(go.PathSegment.Line,b-ee,0)),le.add(new go.PathSegment(go.PathSegment.Bezier,b,ee,b-x,0,b,x)),le.add(new go.PathSegment(go.PathSegment.Line,b,te-ee)),le.add(new go.PathSegment(go.PathSegment.Bezier,b-ee,te,b,te-x,b-x,te)),le.add(new go.PathSegment(go.PathSegment.Line,b*.7,te)),le.add(new go.PathSegment(go.PathSegment.Line,b*.7,a)),le.add(new go.PathSegment(go.PathSegment.Line,b*.55,te)),le.add(new go.PathSegment(go.PathSegment.Line,ee,te)),le.add(new go.PathSegment(go.PathSegment.Bezier,0,te-ee,x,te,0,te-x)),le.add(new go.PathSegment(go.PathSegment.Line,0,ee)),le.add(new go.PathSegment(go.PathSegment.Bezier,ee,0,0,x,x,0).close()),x>1?(ae.spot1=new go.Spot(0,0,x,x),ae.spot2=new go.Spot(1,.8,-x,-x)):(ae.spot1=go.Spot.TopLeft,ae.spot2=new go.Spot(1,.8)),ae}),go.Shape.defineFigureGenerator("Repeat",function(ce,b,a){var ee=new go.Geometry,x=new go.PathFigure(b*0,a*.45,!0);ee.add(x),x.add(new go.PathSegment(go.PathSegment.Line,b*.25,a*0)),x.add(new go.PathSegment(go.PathSegment.Line,b*.5,a*.45)),x.add(new go.PathSegment(go.PathSegment.Line,b*.3,a*.45)),x.add(new go.PathSegment(go.PathSegment.Line,b*.3,a*.9)),x.add(new go.PathSegment(go.PathSegment.Line,b*.6,a*.9)),x.add(new go.PathSegment(go.PathSegment.Line,b*.65,a*1)),x.add(new go.PathSegment(go.PathSegment.Line,b*.2,a*1)),x.add(new go.PathSegment(go.PathSegment.Line,b*.2,a*.45).close());var te=new go.PathFigure(b*1,a*.55,!0);return ee.add(te),te.add(new go.PathSegment(go.PathSegment.Line,b*.75,a*1)),te.add(new go.PathSegment(go.PathSegment.Line,b*.5,a*.55)),te.add(new go.PathSegment(go.PathSegment.Line,b*.7,a*.55)),te.add(new 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go.PathSegment(go.PathSegment.Line,.7*b,.1*a).close()).add(new go.PathSegment(go.PathSegment.Move,.1*b,.6*a)).add(new go.PathSegment(go.PathSegment.Line,.1*b,.9*a)).add(new go.PathSegment(go.PathSegment.Line,.5*b,.9*a)).add(new go.PathSegment(go.PathSegment.Line,.5*b,.6*a).close()))}),go.Shape.defineFigureGenerator("Terminal",function(ce,b,a){var ee=new go.Geometry,x=new go.PathFigure(b*0,a*.1,!1);ee.add(x),x.add(new go.PathSegment(go.PathSegment.Line,b*1,a*.1)),x.add(new go.PathSegment(go.PathSegment.Line,b*1,a*.9)),x.add(new go.PathSegment(go.PathSegment.Line,b*0,a*.9).close());var te=new go.PathFigure(b*.1,a*.2,!0);ee.add(te),te.add(new go.PathSegment(go.PathSegment.Line,b*.1,a*.25)),te.add(new go.PathSegment(go.PathSegment.Line,b*.22,a*.285)),te.add(new go.PathSegment(go.PathSegment.Line,b*.1,a*.32)),te.add(new go.PathSegment(go.PathSegment.Line,b*.1,a*.37)),te.add(new go.PathSegment(go.PathSegment.Line,b*.275,a*.32)),te.add(new 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go.PathSegment(go.PathSegment.Line,b*.62,a*.03).close()),te>1?(ee.spot1=new go.Spot(0,0,te,te),ee.spot2=new go.Spot(1,1,-te,-te)):(ee.spot1=go.Spot.TopLeft,ee.spot2=go.Spot.BottomRight),ee}),go.Shape.defineFigureGenerator("Download",function(ce,b,a){var ee=new go.Geometry,x=new go.PathFigure(b*0,a*1,!0);ee.add(x);var te=.1/.3;x.add(new go.PathSegment(go.PathSegment.Line,b*1,a*1)),x.add(new go.PathSegment(go.PathSegment.Line,b*1,a*(1-te))),x.add(new go.PathSegment(go.PathSegment.Line,b*.8,a*0)),x.add(new go.PathSegment(go.PathSegment.Line,b*.66,a*0)),x.add(new go.PathSegment(go.PathSegment.Line,b*.66,a*.055)),x.add(new go.PathSegment(go.PathSegment.Line,b*.755,a*.055)),x.add(new go.PathSegment(go.PathSegment.Line,b*.93,a*(1-te))),x.add(new go.PathSegment(go.PathSegment.Line,b*.64,a*(1-te))),x.add(new go.PathSegment(go.PathSegment.Line,b*.61,a*.75)),x.add(new go.PathSegment(go.PathSegment.Line,b*.5,a*.75)),x.add(new go.PathSegment(go.PathSegment.Line,b*.39,a*.75)),x.add(new 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x.add(new go.PathSegment(go.PathSegment.Line,b*1,a*1)),x.add(new go.PathSegment(go.PathSegment.Line,b*1,a*(1-te))),x.add(new go.PathSegment(go.PathSegment.Line,b*.8,a*0)),x.add(new go.PathSegment(go.PathSegment.Line,b*.66,a*0)),x.add(new go.PathSegment(go.PathSegment.Line,b*.66,a*.055)),x.add(new go.PathSegment(go.PathSegment.Line,b*.755,a*.055)),x.add(new go.PathSegment(go.PathSegment.Line,b*.93,a*(1-te))),x.add(new go.PathSegment(go.PathSegment.Line,b*.64,a*(1-te))),x.add(new go.PathSegment(go.PathSegment.Line,b*.61,a*.75)),x.add(new go.PathSegment(go.PathSegment.Line,b*.5,a*.75)),x.add(new go.PathSegment(go.PathSegment.Line,b*.39,a*.75)),x.add(new go.PathSegment(go.PathSegment.Line,b*.36,a*(1-te))),x.add(new go.PathSegment(go.PathSegment.Line,b*.07,a*(1-te))),x.add(new go.PathSegment(go.PathSegment.Line,b*(1-.755),a*.055)),x.add(new go.PathSegment(go.PathSegment.Line,b*(1-.66),a*.055)),x.add(new go.PathSegment(go.PathSegment.Line,b*(1-.66),a*0)),x.add(new 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u7S4oe8UR9CW3vmIdN22i8XJbS/y6848ov+m9vvjeJfy0FPC3ABGUjBMOtCSBNkr+OLKwjMAgQ4U4g8praCNjxfWMlpISQI9JEOgzAYRXgCEsT9q82tmjRgBNMSm+oibQEAb8nogT5nARdyjOKJjCRSC99Dbw+pZBIKoisuSHIsgERN7my04br814r/t/t8/3Ggg68Z+X2X8cWe1+ft2ankO/+on6Nf/uYu5cwh8F8Fklz0n0bBgAenJAlqKuHuEFAERor+CMW95rW+YyrPBgkFCIMgKD7sYzdOg1rfpPjpGiiVYxPY+gEh5yBkUlhhfrotceJRQYJPqSWVnwlreBjW0c6zqBLGcI+TlGlTNRBEEg0LH9affhs6foX9ivQMx6tL/88EOiK3g+2b5kVcux7yaiXlrDK97uw9aAgTDJWVK0vVlgYxIYyEudQJviAsUBAoQ8QM8UjypvBEgQkxKnTVlWihOEe6ABlWHg8Dqp1IkjIj4JBHGGzqWnrhxEgaHnofelpMgMB6WII0Co9mp7D5CygSyV+OnAqCqglHSERtlG94dfPFz/8X4Fgr78D3Ozp02e4Ht2e2vfzz9zWPn3d3VBty7gX7V1/D7kWTkikKbEkscNJJZoE2B4xKeINnEG5SZIDMVGAWnP4yZ5r8xWYVkWuQFTq4GRJZLgxIEhA6gPS6VNhf1kgSmuUCD0JIDymOQucS1cmsJbWoH2Pmkg0AIioPIuBSKBEVXAhhbn3P852nhivwNBF/Dom/nbRtWySzes6zr9guMa3uFx3zifz2MMx5CYoFVK4YstA0CcVrpXgi/kPukDxQWkF/JAKkvsD1RWAm5Mii2SR6RmFBBehFvIHVqxx40U2T9BNOII+t7aEFBJxQt0bCGHIVf1jgSEuFG9GcI+4EA6B2xtAdoGJEA+z1QmkURWmxkAtndj6jdOZsP2p/aJjlCrYNaz7aGjJtYs8JlW3dZN3TMu/Hhjm/rs4UV8wuoMVlMBno9WrgMMpIHOFJAhbiDzUylnBYSXLk1kgP4MkM4ABx4IpD3zlkQSEUMQTKYXRGGCZgBlnlgS6U/yLTw9URcGKkMU7vP0hOdj0HdQETQlrIof9B1UQdJMQCSkDgpREJIWk6drHM4Rz7ILLj6OPbhfOYJzru0ADtCBzJxFVkVFvfFSOpVavb6548QrTxufo4v76UvO9Sld+6GI9NhAJgnE+4F4AkikgRwR3xMFpCeE70BAkC9B2TpLEnjsBCmz6XMiPBFaAUFJOGYA9DypBmiiakKRh5bmK3FEdQioDlNRmuQIFfqOp4BodDAPISKwnv6hcp5NrUBLSmYUyYdQQJAFFmRAHrxjWzc74MrT2AfvRyj030zzwxM6FrkOuKEhlemHbiURNJzU3NpR4YW662x+5W392t4MxpA4sjJA3w6grQvoisvCMSoQIDCE+UogKB9BOXMOMLIBiNuA6QeCAaChVPZTUC6WRBs92yTbNY5DazmCGkfQZML2D/mYAKImBNREgLBf5h9oy1scjsbgJ92h8hoeh5G2piqSt1uA9qw0V0npC6uPCh80oJREnw/Y2u9+47+P1W8dDlfsE9E0i3PtsD7MAcex6kbSPYBuO/BFbAQr/EImi0VGBLaAVAro7AaWrQWenQ/QiqRVT58Ja4m0Mm208oULDdSPBdo7qXIAQBCorgbqSiCTRaZX40qrPACMKHVQGeBwXA7H4WCcMhMcMR9QHmCiKE2A49OQznOEIrrIhQtHz0s4KVM2mwaWtQEdWUnwiF9yGPlCYQ2oIY/dFCJzwckHs2P2GxD0xU9u41OCJVjiWgioiuvurRzlIQc8xOGPmjKuWZRRE5aKRsTl+Pk9wNK1pP048bk0V0TEmZ656KHQgwyJJAl1AoIBpUwUM5cHgGhAhh5IFFVVACNjwAHVkkAigVRU/SeLa+RG4omAEmWaghsGs3aUtaBjSVkvamfozwH+EBANyu8if6TMABro/wCQ50gsbUPd1Sez1J6CsU84Qn3p0518lm7gR7SK5WriaN/oYmy1i2xIh+nXCoE6kU0jGpOCpmeL476nOP7yLIdlUaDJayklYBwXFfU6dmx3JFsR9UIMCEvBTwDRKo1SpZ8OTB8NlPmAMeVAjEIaHhDKVCU5LypIPDNUZf2K3xOEIU1NosmmFC7DW9uk30PtBOGAPHddEBgbBQJUmM7Al2/G6CtOZ1v3KxD3NvNARRhLOMeUoO5iSiyFZNbCWxsjqC7XwGIMOnWPGpp03ggEDwhl+Kze4OLuPztYucaBlfJ2cDjKR+nobbE9IABQBxHJB7IlSXP6NTCToSwEHFwn40ojSoCamBRbFCGlTaRZVbq16H8CpwAIca0HlBBTtL/HyQ/MJVCASBgoiwBjKoCJVLVI+SQNeHMjxl5+Btu8X4GgL39sCz/KF8Jc1+HGlOAalOm9yFlBLG+fisYKGxWhjUi4IxELZLC6vxyGzy+tHpVnYJ68TXN0dHK0tLhobXPR1sWxZb2F7V0uetMOLMUZZEMSGB6Vq+s1BDlDRQCoi0gdQlYOiSiS7yr/TeDQRoeSyUpYFsBSFSJkCheDQgXIncAdLwCVMaCmDJjUAEwslx2xDuO5ectY3bVfZHvcM7FPRZNaBU+28VsYcCWJHKKXj5IvFmBYBuqCbchqOhpL4li3ZQBWzZE7dYsUUqAei4jQg0cMMkvJxE2lOXrjHB1dDlo7XLRs52jv4tjh6ujsYRjIM5RS/VOUoSbKEBaKWbYQExBBsrrU6yKQCBhRhUjgeBtZSYI7PCexux/40cNATSnQVANMbwImlAO6BGLlMRO1g/aUG5Q0GM5x//aYP/+Tx4INeJO7GK0S/nRDIZsj6AK6nyNtatIXKApRqIS9zIS9s8FPBPUGRbfQLbRfASjSNQ4VLHP09nPEezn64gz9cY6BASbMUMdmwgQN+pmIJUWCVFE+yC2CcxT3eFJPMByBYQAd/cD3HwLqyoAJI4CjJwCjy6Sl1p1wrz99hj5rOAR9XziCLuThdfxUzYe/Uasaeb/E9iS/zRwXDh1MjpRORcHv9GTFCimycobsUpBihYSQp2cKHnZxjsGT/eTUUW6DzONMiiNFjiTlQBJMmNLkPZP/QhxDPRwEBllGwl+gjcSXDmwfAH7wMNBYDkwdDRw/CWgoAZiP9y9eyw745qcYGdh7/HjfgKAr+csGfj84/otWOK2okhBQFQXScVFtJDI0fSJK5610pSu8shllcqrPiwdwiASmZ1ipjJ1gsCJdU+ycqbxDIXXqhTZE+INWOwDqXN3SAixZIcUYcYwQZcqBM4AuEk2PAmMqgcMmAidNlmKqtc+95Lyj9N/vMQLeAe8rEPcs41WBIFZyjhq6YRIB1TF5Y4kdXJiblsbRY5HFPkhElVNW9r/qUZDVeoOgCcvWC0OoFKpS/AU8vAybLFD2qgKLEkOqn0I809rQgJVrORYulu0DNBmBmmsIEFLqvQPAjx8HJtYAx04FPjaZIgLujV88Vv/ecEF433RE8QXdv5yfr5l4kMQCiSeK31dRQoVRSQpH2OCwdaCXzKCi1VwoJFN1wyqD6ukF4e95IklxBH0kuKYIMHGTisNU2FsVFBT/r0CicInFcc/DsgyTQCAwRMsZ6YE+jhufBCbWMRwxCbnqSvfbP/+8fsfegPCBAEFfcv8K/ozj4ExReWFKMCpiXkx/wBViyjWAHblBMaVqUlX/hFLSitiqaGAnsaRSpkXWsLpJAkO1dImqDvqf/APvfVHWX5Q6ffp5ji1bmGi8JK+ZPHt67k1y/HkuMGoEQ30t/vn0N9jMvQXhAwPivqV8pMWwwnVQKmSyIT3TchF847CyLnSHwedn6MkNSstCdYUnXoTzR2EnL2SuKjcIDK/eQDnDhaI0xRF0VlUrKzxqjxtUz12x6KJ916znePIZJrxoBQJxR3+W496lDHXlwKQ69/7ZV+sXfmSAoAu9YyH/Wo7jdhJRqkGFnqkaojzIEWQcInMXZOhKy6baQgq0uIlFiSMvDFUMguAO732l9z1JJiemFGXk5LSCoponFQPzxBh1sP7qVi4CgQU9EaSULseDK4HGaoaJlfb3/n6teeNHCohHH+X6hnK8mrNwrCAChReoAsLzaMMmxzgKSQSJMzjW9exsRyj1UawDlPIWnUZFYBW4o4hCO+kJDxDVKCPKeooKnFVx8133cLS2ekAQZwSApM3x+FqgoYFhbGnuU6/9IEB9Ynv9eF+tJk+uU94s1N8P319WoOntDsyzbYQpVUrxGTE0iwJzXnPj9CqO2gAjLxVLu2RjIRGpuPK7YGENEUnFNbJDwVAeujJfCxzhVXKogKAAxLOw5i7keOYpIBJlUjyFgIzr4rlNDNUjGEZGchOX/iSwbq9R2LkLeV+cTp6jOR4vzfXhHMMMnsF142DOeDU1rTFdy7T3I7BiGwvMX8vQ3QdUl8j6oChNq/EGaE2v5qgkjvEDr3fItaJqkAr5aU/2kKgrmLSqIaUIIOG5F/VPKPGkxNJOEdkhPRfdvRw3XM8RCmgIRyQQFnPx0laOqlH6wMhy1L0xa/j1rsUU36cc0dXVFYnn/FdZNvu632eUB/0aHK6JagfX5TAM2XLl2ByJPMOibTr+8KomqjNG1wANdUCUoqX/GpZyaA1QY3Jhqby6nQmvt3iSgFeaKu+l0BEkE08FT9x7ocBTTl0xNwiOU1zhOXkFR/JfB876sYPEDoZQWBNAuIaD+a0cFeO0VTtu06fuq+W7z4Bo7UoenMjyRxjjE2jQVceAi7StQzd0aHSnjInYEHddlAUZGmNyBNj2FMONLxhYtY1hZAXQNBIoLZdia0YVMDrAEQ0Bf29joshAKV3BJYobPDkkGlqKuGLoilMmrEpO7SSeCi1cRfkLBvzlKQfz/s4RjdD4IQoN21jaCZSO05/o+6127ltb+Zg3t7nnjK/WDhs1AhUhP5LZHFZzhqfrQmzx7gK1T4Bo60melMqzJ3I5K7axJ4+kayIWCYq5GLpOQTYKIBTyLGLGEjV/lBoOGqI6Ovo5fvp3H9a0SLOwrh4orZT56GkVwNQoF77H7FaGnmyRmFIBwyKFIKaMFQNUJH9Vd5FqBS6IJc9iKmQPi6YXrG928asbbFSU6AIMPWRjZR8w+iDc+sNTtMhAVrsABnzTG+UMKhlO5zBNxk0DL+ZtXNpUyprfC5C9BqItnpqey+tz+hLp2LrOPMxIFH4fTQYggnkzXDU5SYzkM+WQw34NE8sZ3upyYeUyGFtiYnOc4X+fpOwKUFECRMqBEEU1/cCEGHB0OVAR5nihHdiSkNNnZBZtsGC5uBxccYeSU15AVyr9IsKr7J1S4iparOJUGYvjx9/JgTs6SqMG/DEbWzLAydNN65MzYU4dz7EjwUTOXRRQe558wM/RWAmMrkdnJmt94sBaP/WTvetjr4Do6OBh28gv6x1IT9gcd+H6iAs0MU6BNtEXLcTS4GwLpmlijkZ1SI7zaY67iOl5RBnH06v9eOR1HQ1UZR2Tc/xM6j8IAo0h4JNVVC7JsbQfWLrDyzGrinHFFcKRkFsxUMVdp8prL+Syh/gQg/69PNWDd+Sw+k2G0hIDJWUOcpaLH1xhoraBYXsvLbiiPLcK1VNQ0qEUKsch47GJGezgydUs+W5I7BUQ3QnrB4mUdUNLPI+44xeTxMSKEJTnQifQJDEiuCiHVMpTsD6lTKXct20XYyIWWntdfOuxsCh7qawBfF4YhNratCBQ5gfOqQVKTY7mLPBCOxss3VexD8fTEyrXoTjGE1GqMUWFO8Q6KepOFbkQeRPi3HQPyxdZ+NvtNsxyE9VNwFfOAQ6aoqO5SxYdkAGiZnkUE1RcEpV2GsBBjfZ3Z4wz33XQ1rCBIG5gQbu5vSddFecB0VDizZj0ZLTsbyYAaLrYTpNgvNEvBAbdMYEVZRnYGRu3zI1sXNXKttZVsmn+SlTqEVmQJpa3Vzbz6RqgmvIZGvDAZmlRkeIXXFDEEQVRpQoBvesR3FE04UyJqqFiifAgQsYHOO77Wgo87MM1t5g4aQyweLMrFhOV5Mh+78HRdUocyogwlfRQftttbWzcPuE/CO+eAAAMI0lEQVSoxsbMrrhi2ECkc/Y5/Wnnyda4g14Kn+5k4BetfnHDpLRlrGewLK8wEEyQqSZItY1pvNocWXbZcdqMU2/d4K8pHznBX+I7FD7MdIDDchYOcEIIuhpwcjnQ5OfC9/jjBlnqIs5NC0KB4nGJmiSu5L5y7pS+KAAwZOCWMjCIQ9fNteGHjos+D6zbxjGQ5WI0UZCAoHSqN02zmPOpFFOEXTyT+sgJ9p11VeYD1UH8kxo294kfkco6d7TtyFzWnfchQ605kF+qHqqQV968FE3SSpGN5IUYkFdWU0U6I5fBgma9N1QWqNtV//bPnuNlHQxTkwyH5/2YeXQ5P2SEHyMbotD+sgnYOMDewRFkRYmuI8/CoteFiThkAnsjsAWHFFX5KQdyRAyoIl2V5QhYDLVVHK+tdWWhWUAOZSkMcvREmqjCUb3ZqirIAaaM5qivZpTOXWhl8xdNaxj0yofNEXmXv7x2a/LE9pwPgaAuirRUiKGYOXbWC1KW7qp3jUojY04Gi7dpqbposvaEydXvqtgG4eba7DX2sRnHeKgx7Na/3qVZ89pAc/aqxHAVVTHorb1CG1hRQ6PQGR5Dq2EoKjHVEAVm1AIVBrCxA+gQM2k4bNcVBW0RPw11pGJkuicp9wo2g8cNorVMgEE5YyBMtbcUUytl3clc6rjjmqKisWfYQORsvmT11sSh2/N+xCI6tS7t0iDw5tkWPqPVo5QY3TCFxekRNBiiThpLWoxeI7q57rzJcu7r7jxmr+Ajehw8Wh3iR4ws4Q/+6Z/a7dvSzlSbs6O4ps2wbRxA4wWE160oVTQnylNVQm8o8UX1smeNB9w0sHQLkMpJzgqYJJI4SihHQaWXXpmmEEkeOWVEmBcAEK0GXjaR8ih5R4rUyXXu4o8fYM4kMTVsIPIun7e+JXnMxn4TNRVmQSlJ8SQFj7hpJpV2wRShMkeNiYukD4T1ZDJEdFeIpn+2BZf/z0zzkN0BoHgfajd2w/il38DlU2v4csNln5vcyDbSPp/9dX95LhyapkE7TPOxmQ7YdA7eCJ1pSpwqMJSpPaOG4+AyYMFmJoqj6ZaIewIGF92qUa/yg7KOgoieuaWGr6jCBuIEBQLpCvpf5FM4RQ8YxoR6zj3nyJonhg1Eznbu7+zN/tecTQ7GjyTThuiqYg3yi7yKxZ1Sl3IPKgqWZCQQiEtiPI+BRA5v7TBu/fLMyE6DFvcElLvm2xdmuXbboSOYFTRxySEj2OPvOH4W184MZ0exqDmdGWwmM9gRLtgUrqGM7oNW8GUHu1i0SZMgeA8x9o6SWj4uNrp2qWOk1iPul/pBdb1KrlBZxKHgGIaGsJlbdPmxwSOHDUQqb19k2/yPL6xIoLY+JkxUNVFbOUREa9vTHWrlFQoAaKa3xw0md1CmWdjYbfF2HjrqS9N8/9wT4g/d987X+KTuNH90aj2f1FCm3c50fO/Q95gK8NlvtQRzE2omQtcOHVWhffLjo3HuG1ulGKUHEUo011PxsSkHO5J/IMSZR0VVRSJEr8ipe1aTly+RgNDMQaqTleZuyA87394ycthA0OT70gBv3tiejGzoN9FQ5TUXCMnkSUvv7FT0RSyplLkinAq6RZ0MuONgzYD/tfOmBY4fMqd4WJjc+HR3tJ+V/bqxVPvKpDr+pt+nffHIUWz17pyMcz76voXY3E6Fk949ELGJI8hnkCB4YyLUPEKPG5T+c8iK9MzWYq5QKoqug+JwZVGGLS3xqcMGgk6UzvFf5B37qoVrk6iqCSPkN5Cgzh4RB1JGqrz1nO0WLkyMdVAtVdkUIj4NzQMsv22AHfXVI8Nv7A6xdnefqx/PfSEcMG4/fDR8IdO57riHfvpbNmvWv/2NIs556X0L3e3dCS0gdEBRPoPil6p/QqOmD49d1CJT4rjgQ3gBSCWehDoRISAIEEwT7srWzPA5gk64tptHG2Pu+lTWrl24PoUDR5eIxo/tKVLCRbLTW1hk4qYtV8SfuGMjaGVQGjLQkXKxLRe8+guTzV/uLoH3ZL/vPxEflbQi905txAlNlez5mJ6/5PBxgyOJdnWup1a4c9a24jj6nQuRn1AWlRr8Lp6lc6LsE5kvl5y/U4mPpzOkDSNFEoEwrg7oSPCND131+MRhcUQ6nR7x3HPB7ZMOT9xUEja+GQubGhF5dVsWlu5HIOIrzE4lQEQU3DOdsnkqt0+jzOSIhHyI5zVsz5k/P3Wsfu2eEHdP96Wc+aupzLfrq30/mjYK2ZCJ73x8gn4/E9R85+PV9dmTVrYYf0/nmBaJaCKVq+JU0sIaPGxQ3EidoBQ2QSJN2UFdQ8BReqCpWtbg5l33qjNG6L/aYyDyvPlCm/f+bktrfkNJ6OCD1v1rlH1Sj9w9c6Tv5CBzG/uSebT3OUjaOpia003dOdyBCRcRctzCJlymo9vS010pfO/kMfpte0rY4e7/3YcTB6btwD0Hj3aPrC/Tni8L2pfPHB3csqvzPbbcunZbD/+/XJ4xnX7shiw8rzpc07gcOSfDZdIyVEpbpWoLYkkaJtKRZbJwjYaq1PCXF8xdcxoNCNgjIDLO29fZrPfH1LfjWGks31DhJILTv3POWP2W+1ckqg9rDP6iPqJ9wQduWo6LvOUKq0lyhQyP20xDn6U57SnnhY64893zJvt3S4EOl/C7Oo6GuQzYk66Y0GjMmjaKUSzvx40Tjdsms3eOxbtvYe6ceE77WTbPDhhIMjGZOejn8Pu4yCJShTgpXWE9CXHlvRYjhrx0CflL9GtGhvxxEdMHHo04D21sjV92zTFV1DS8e5710qXcnHTw0l/b2o4r6Kd8uEMWQT/a+7LOmpaKU8877PQX1Q3fvzJ34JgK44LqMDvJxzBe0xB1OeM5lyeSFjbsSPFXegbsh8+f6n9rXxJ3OOc6/47OMaFg9OZDxupnNpSzN0O6861PHBgszLFV5yTgRjZMOCyd1acnUijx+WHoBnzBgB4wTIQMU/NrhmaWBHGgZmiNadt9S9Ool5AHGDQfdxBg9OsKJuKAszTt2n/61vTQguJrfk+O4JyHM868+yz0foZAoGyHa/ehP5XDpt7I6wu2Vp4x65RTdjkZ+H/ubQ5MqKmM+oKcv7yyM/H8lbLn+sP2+PLdPWePrw/9cmSNMToSwGMVPvf7R48PbNrT65y9IX9kxtUfXtmujRv6Wxjvda5/C8TAQHulHlzxVwvxo2l0J3Wgu3YcfQN5bIyXzn65ufzzN33qU4K1PuqPi+9aGiotG/OtprrQVRUx3ec3cVd90Ljp8NGsY3fvbWk7D21KuNu7+6zDrjgisH53j/u3oikeX9NkhFa9YCNxAFwTsHNw83H09jvYGK/80+wF9ZfeduVpH8oVvicEGLrvVx7qrJnUELquLBr4imFodtB0fz8iat1y5IjQbv2C8JNb3S1tPc5FX59hvrIn17FLjujufmNGOLbq6ZyTaqDRm8zKwc31ojsOrOut++VZ//jqNf8//nBrMeG+80R81PiR4asNn3EhpaSDBn+s1HTuPHXcTxcztmuHsKOjIzw3W9O2qc0+9bqjzT361ch3AJFMLjyZaUsfzrv5Urg+aFYaTq4Xnb0+d3VPw7WfOf6y95xSticr4cO+7zef6K4bPSJ2sT9gXKRrrJEBK00791Rtqf78J5t6VzFWK5rbeceK8Ev2lJ9sSbLPP7OhY+yzZ9bv0cTLnYDIZ2b/t+W8cVeetLxrQLdSsLP96OgN5FbuaLr0vI9/7U8fdsK9X9dHqdvjDms8MeI3LmAaO4mDVWvcHTBMrTXsYznDwMi+LNfbevPn33BM4B2Tnd/rujwgOEv33XONg1X/Z7t+TXM1CUK6H229ZYnlvRPOv+Dky557r5P9p3xOoBw6pX5KLGQexMGbOIOes9nGDZ252Q98Oto1HDowcv3POuH6XzpY+00bpdBcE3o+gXwqhW29Nd1v9Ew660tnXb5XYenhXNh/2jGsu/uJujD7dbNj1/k1qlXNZZBN5tDcO2rr4h0zTrnk3EvW/qcRZX/crxBNnX2XXFWSXP0LNpBCJqFjQ9+UVYt7Dz3ta1/4WmFo+v64uP+k7yzoiJ4tZ/wk3LHs2rc6j5/3ct/Rn77uwit2/CcRYn/f605W05znvznzT4umLf/TrC9l9/eF/ad9//8DKbvze3g2WI4AAAAASUVORK5CYII=",he="data:image/png;base64,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",ie="data:image/png;base64,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diff --git a/p__Classrooms__Lists__CommonHomework__Review__index.ceff1350.async.js b/p__Classrooms__Lists__CommonHomework__Review__index.3a6ad6dc.async.js
similarity index 99%
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rename to p__Classrooms__Lists__CommonHomework__Review__index.3a6ad6dc.async.js
index ce45d2c9b6..a247760b2c 100644
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",Le="data:image/png;base64,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",Re="data:image/png;base64,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",je="data:image/png;base64,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",Ze="data:image/png;base64,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",pe="data:image/png;base64,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",a="data:image/png;base64,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",b="data:image/png;base64,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",ee="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAgCAYAAAD+Fz2gAAAAAXNSR0IArs4c6QAAFB1JREFUaEPFWwd4FcXafvekEiCEQAIBpSaEjsDV0Jv0IlwvAUTsgAjCI1iuCPiLtCvdcvXaUFSaaJSSGClCFAgloQYCQQIkpIeQkF7O2fvMNzO7sycnwevfzoMmZ3d2dvd75/3K+000ACi5+s19jiqs1qAN0jUtSIMGTdPYKf5TY9/pizju/JOP0wHomgYbXQnoNjGHTpfSuXt9bA42i7iezcj/Abpu/GRHdJ3uxo/Tr/w6dpz+k9ey47oDuu6g8w72kw116GBPrDvkXGKMvF78ZPNqdBt+HZ+f/S7v6+DvrYznz8Pm488oz7G3p2PKs4q3M98PyLDBcVjT3F67b/TSWxoDp6rCfk6D5g/NZgIiQWL4wAoSHSHg2D9+DXsUjocGhyuQpNXvAZImDELGFi8kYeWGl2CYILHj3IjymPPvzKDSYFZjagIgPq+djC+NqBqdPRcHiJ9Xx8jFUztI/NpaQSIwuaFs0PM0zdZNK0jYvBU6HuNEsUGCxO14bybReMk05ef/DUjSmAJOBSS+esWKlYwTq99yjjFJYQ3ggO5grJDsNMGQ4zh7rCAZLHcF3p9gEtkUjm1awYUv0gEEcUNLZnBWWEBi3wlaGsXZw/0ed31OYFrcneLeDCf3P8Ykkxm0/GplkunuVLaRuzPYx11YjUwiF8xXuis2WcB3BktZKGL1KG5Q+gzTnduADC3/3Cad4oYwNgeGGd0VSMLduQBJgqXGrtpB4iDX9lHdHUUQ5sr4m0ksyHVVZ4p4Sae4ZIxTAJAGZSAJq4v5BUgGILUzyeLyqsUkk41G/BTP5iD3bILOGEyGYc/IFv2ds5/rMhHgZHDFJCVhkG7s/wEkM/6IJMKISfyluLE5o6wxSa54xRDOLOEZhAESd3H/DZDEs1WLVYq7syQLLhMHB7T805/pFN2NbM0pQzOYZIIkWWK6O9Md/q+4O8q4zA+tOpdMYiCJDEumf0ZWp7JKssEM+EZ2xTJO55hkZG3W2OMqJv1hJhmZphIrq4GkCYBECl0zSAwAkeEpiQBbrRlJ5+B/X1vU8fU3YpYzSCkXYuEb2BwNglrxFPzPxCQFJCK/kY3rtPA5XoxJZtrtcFRB09xESuycerORMl2WcUcyyAkkYhLL8KypPE/BnZKFat+lS1bcnCXeWTNPq7vToeXFf0IuznRzMqU2j9F5I9XmVQ47Vllegoilz6Lfk6/g/k5hok7SYa+stNRLP658HiG9R6LjkEdpDJtBs9mgeXjyueT/NSAz6RyyriW4DE0mKAQDmrTtgqDgLgSKCRI34rWTB5H46y4Mem4RfHwbEUiOqkqc+ekbWViJGkugK90ldHjV90No79Gmu6OMoAqlhfkovJ2JO2nXkZuShPysVAyZ/iayryUgN+Wq9LuS20aJU9e/CVp161c9NXcCysixlZik5cX9S+fsYCm2CNzO7s6pQL0RHwP/+4NR168xIt5+Fv2feAV+zVri4MdvYeAzC/HThldqj/4AWv9lEPo9vsAoZiVQZyK/RsL+najfqEmtcxTezkLXEVPQbcRjhvtjrk9kDCi8nY6YTatQWV6KQTOWwK9xc1RVlGHH4mlo1CIYXj6+NDTnRiK8fOrDN7AZ2acoNxM2Dw8MnbWMDMxWdNyuz5B66RTslRV0jZu7Oxo2aw3/5m3RqscAXI2NRmrCCQS0CDXB4cTBncybqN+oKR4cP8NcEC7rKM4kYiRdy+OldvvUhwZAMnuTLkgyy8jQqBLVELttIwJbd0SrHgPxw7Ln0HfaAnqwpCNRGDLzTRQX5FlS9H3vL0TrngMR0ncUZYvs1u7ePvCp51fN3Z2N/ApJR3/GpFVbawSIFZfbFk5Gx4Hj0XXkVCW7Y3HeBKmqvBSHv1iFO2nJGDx9Mfya3I/tix7HoOfeQNOQB+i6fR+8jsA2nYx5Eg5+h7TEOAx9YTmfVwduXTqJkoLb8PFrjPjdm9CuzyiEhA0Ta0HH+X3bkXvjCgY/txhU+CrqQdzuTbBXVXCAasnuVNVBBUm7ffJDXUo5zF+rTGLptwUk8f3K0UjczbqFHmOfMQDKT7+BqsoydB/7NNISTuJ2WrIACbhyJIriVGDrDgQOg7nzsElw8/SuFpMYQFfvARB70e1/n0QAPTByKuysPJPAGMUpL1LtlaU4+f0n6Dp8Cjzr1sOONx5Hl2Hh8G/Whgx5es9m+AW1ROseA2l8yoWj9G5DZ68wXBK5VrHq96ybh5DeI9AubLhRB53fvx251xlAS8xUXYw/tedzYt5DE2a6VjqE9GPWZVYmabknPtBZPOCqAfNyJki6or+pQOXeTMLpvV9gyIy38OPyGej7+HxcjzuMlt37oeUD/cj/M9chtCCknj8O34BmZAj56TVxFmxePqLIFVqeBhgArdxaa53EAOowcDy6j5zKpTV2N5Hdqek41+D4S9sryrH9janwrucLN3ce/0qL7sDNzRMedXzoe2VZCbnuYXNWWtQCmbbvWTsX7fqMREjYcAGaA+f3bUNWciL6TJnHGaQY/fyBHfT9ob8+byYrarbmIsmQz0vvwwByFkGdY5IzkxxVFYj78XN0H/8Mdi9/ngCqLC1B05Au8PEL4IZV4taPy6ajXb/R6PzwRM5QCjhcmaAyU2p3GnAm6mtcjtmLvtPm1wrQkc3r0Gnoo3hgxFSub/EKCI6KctxJv27EWzZ94xbBNKKKAbRwKgbPWIyg4G70GNHv/R1N2nZCt1GP0zUJB3Yi7dJJDH9xlQHQb1+tRvHtLBpflJ8LL28feHj70D0fnvEmmFtMjo+p0SUHtGyPsEefr67xKeKpVf8zi28t5/j7vFAVmZXU32oDKS/tGuBw0Asf+XotOg8LR2CrjvD0qUeZ080zR2p8WPXEuNc/gF/g/QZI7CnORvEk4Y98uo56jAzLVq0E6U52KvasnG25fNqa7wGbjZKE7QsfQ69JcxDQpgMVpr9uXo2Alu3QfuAjPI4e/QnZyZcwfO4qY8WzJKC06C4qSgrJUwS07gD/5m0I9A79xqK85C7KigvNJIAKXiqdCRQ3Dy/4NPCvrt+pabuDg8KLY6GeM0yyY9+zpNlGyk0uT83uNDCXx85HrpmLipKiajZsGtIVPcdPR0VpkaF2S6ZwokjdjmWMQIMmLeDuyVwNm1ssEnsV7BRVBNEEw1wBZrO5Q3NzJ2PIGGSvqkRBXiYF99Rzx3Am6hswgNi4qopSbHt9yj2x9wtqgeEvvsP5rRStV45G4cLP2xHaZyQ6D51suDhWI6njKGQ5HLApsYvHGEWWchZcZXvEIi05oGUde9cAyOz9qGqCCZKMSWwlMnOmJ8Yhftcm9Bj/DFp06Q3N5gYPLx9kXD2LnGuXjCRBxiKytTD4A6OmQXP3EN/5GQMkCYqQD+Q1tVmWAcKLPNPdJZ84gGPb3sO0td9Ds7nTyiwvzld6ScCBj9+i5KXz0HDDyJobfw9DOhJGi974KtVBmk1Dr4mz0ax9T0qv4/d8IR5NZpDVn7RVt77oOPCvNYKkaoIqkFrW0Y1GDFILVpNJUjTldRIZUTApZtNy5KVeg3d9Pzw8ayl8GjSiMReityH51C8I6tDDAEQ+clFeNqWkk1dthbtHHRpfkHEDkRtedml/30ZBGLfoI1QUF2DnkqdqxGjcQu4umbuTIF09sR+x297DE2sjwIxeXlJsuB2Z1h746E0EtOmIrsMnU/OOrmXBWbPBzdPL6CNlJSfg4oHvUJibgaDQ7khPjEfv8Dmo4xeA2ylJhsB6NzcDSceiEdpvNOqyeCxS9br+gfBr0sJwc7KdYW1dcHWDl0C8QahlH9mo60J/cZVS8/jEWSQZxkDKS7+G+IhPUHwnBy279aGqevCMJbTyzkdvR+bv5zBy3hp6YVWMvXnmN8Rufx+TV26hNJvpCvkZNxG57iV0HDyBsj2p3KSeP4bC3EyMX/IpyhlAb0xDSJ8RaNQixACKXXs5Zg8eWfwRGjCA2P2EoRlAnEER0B12bHkt/J7uTQ5gbm7kvNUiVS/Hvn8uQo9xTyN227to138MbDY3XDwYgeGzl8GnfiPRXLQj+/olHNmyAQOeehUNg1orqbopQRnujkKVte+kaoLU4Mv+bQMxyEFhwXXd4wySw2FHzOZVJN+c+v5f6DV5LlIvHIe9sgx9p72ChP3fIik2GnXq+1ljCTQK1OUlRZi0Ygvc2QrVNOSnpyBq/XwMn7MCTdp2pmscLOXe/SWYjqcCNODpV9Gyx0Bj3vTL8Tj44X8ZAEn6sJj0+4n9OMoAWhcBm2ZDWtJZo0LPTLpAc7NP3YaByLmeiAf/NhN1WPHMCmlPbzRq0Y5+PxP5FQqyUjDgqdexa+XzCO0/Fu36jkLCwe/RadAEVJYUU8xh5s5JuYLjOz9Cnylz4dfUZIynd13ugpW2eY3CqohhxL6sX9cb7QZmFJVF1WMSZ1HCwZ24m5uOB//2AiJXv4iwyS+S7HHo06UYOmsprsb+jLRLcXjw0VlK44/Hmczfz+PiLxGYtOIbMgL7MBZErX+ZAApo08lIu+P3fInUC7GYsOgTlJXeJQb1ZwB1H2DsmXAJkPBxycf3EUBPrPsBJUUF8PH1p/tVFN/FnjXzEBY+G+ejt6JJcBda6XcybmDIDFZsik6sDtzNTkPUxgUk/TRs3ga7VswUAI023GHkmnkoKyqokZ1u7h4Y8/JG4e7+GEgSPC3r13XEILErxMjUanJ3BVlpiPlyBQY/+ybqNGxMGV3YpDlo1uEv9OIsHiXs24HUiyfQdcRjRttctgtybl4hAMOXfy0AYjHoJqI2vIzhs5cjsG0nalQxSej0HsGgRZ/Q3N8uVgDivhM1AsQE0+P7cWzruxi7YD0OfPo2Hln4Abzr1EfMF/+AvaoKg6Yvxk/rF6BpcBd0HjYRu9+Zi9D+Y9Bx0AShCIBUgFO7PsdDVMc48OPymQgdMAahfccY7osBy7JHlqgwIfVs9Bb0GPMk6gcECcZqVKQbRnfBpJrYpGXGrBV1kKliM3fHXILaHeWFpw0OeyUSY3ajy9BJqCovw9518wigoPY9YSNFAri4fweunToIv2atDK2aLy+NYklhTgbClzGAhIvLuEkCK/PnjEHsPiwOnd27GSnnY/HIYg7QTgUgPhuQfuV0dRcn1rIEiKkEQcFd0WvSbBz/9kNkJV/E6PnrUM+/CaI2LEDTtl3QfdyTSLt8msDjGt8UsWsFcNirqMPMPj8sn04Mat+PA2RKNFwOyr12ETFfr8GgZ96Af3MWg6ypuhUk8/oaAUo/vEZnq9UI5Oy1baLmqTEm8c5rZVkZIte/hLDwOQjq0JNDoGm4uP9bsKxn2OwVRutcFsApZ4/g+M5/Ivztr3iSoAH5mSkEEBNgverWl1giPyOFXnrCoo9RWlKI7xZPQ+MWIajj18hwJ2WF+ci5ftkag8TZ3zavxo34X9FpyKMIeehhHNq0ioRL5oZ9A5rTqMj189E0uCu6j2UZogO3LsVR8dq8Q0+SbpgkpG7hYgC1HzAOof3GQrdXoby02ACBrarcm1cQu+N99J06H/5Brcw+kq6TnMSLULNzK7d0GUA7ga6lHVpNDJIgydUru6xmcWnGJynjMAaxFwybOJsDJICWADFFWIqvpQW5yLlxGVePRVPmN2HRZ7C58dS9gAG0kQHUAV71eBuAAcpiE3uj8Ys+Rjlj0JInCCCmKlNNBqD8bj6yrye6BCjx0A8kyQT3HkF9priITzFs1lJ4+/Kqnk1hADTuaeGOHMSkM3u/wtDZy+DpVZfXR6KQjFj2HAHUvv8jKMhJRfSGV2uMPc4nxi7YAHcvbyeNr/p2LpVNWvov79CmERUkuVNHBUl1dxI0ewUDaAHCJr5ARRuvkTQkHopAdvJFDJ75lpDlbCgrysfhz5ZRm4EJjW0eHGIwrjg/h2R8Vryy9Fay7VrcL7h94woeCp8D1jo4smUdOg2ZiMA2Hbm0Y9OQd+t3nIvaSu7Lp2FArcbSKyvg5ubBg7uod/Z9sBBN23amdoMpsjrgsNupqciNJVY9dOxd+xLa9R6B4F4jKCPlorBqZPEISm9HFrwBLUO5+3ZSEcyuLJd4LACl/fIOMYjaAApQfxQkIwVnm0jYzRV3yYEU87LGgtG+MLuy0i3KloezcMvP85gke0l0DxGD5O5VGZMU+cI1WLrOJRgFJJnAkOHohJBe+RcDJFlU8iHWjZP8nLqpUSgbFpfF2+bWXarc3fEU3BqTiOVpB/9hKAkSJEtMkhme2hviVlO2BStqA6vVxSYUa8OPG1omG9YERNnOZWz/EiZX9tw5g/Rn9zcwQ0iQrNu5hOH/U5CU3UXOe+XUXhJnBmnu1cCoaX+DduvAqnRN04KkwWkvFuUJ5v442T4wGeC0w0dlhtE6t+5t4IBUB9VgkFQciInsKAP93iDJIZI56v6G2v2dChKv8o095U5tZ6vIaTbvJNsMl2Rs1VJ3/zgzSd2GLJVrpUkndD/Bpgwt7eCqrTpt/TUNKjfAm9ocV59lveSaGdJFuonMTWyWd+7KMpBE65zPo7g7uVvVeVercHO1uTv+bBwSYgfphveI3/8Rk0SccdrOZXF3NMRJ2Rauy8okEyQVfHJpSgMPOrZptw69cx/s+jlA9zc1Mw4W9VktO01dGN3Y7aMyhnVl+XdXXVlikgGSi3qLrKwq6pxJplsUrtKp4SeFXAmSvHdtMNW8e1UEbNqgIWOSud+B4eQQPRypRJtMqsmFKeyTf3Hh1IZQ6qQ8b3h3ozXGQNIcjtW6jkHS3Um2mCBZWaS6O3MPtxpjGD6MTfcAyYgxKpOc/9xFCK7KX1Uwh8S3K1u7ss4g/REm1Q6SqXDLXauSNbyoURMGs8apOc6IZpxsyqk7XHnikgHdcdjb7vmaT68Zt/4NR6wL8X1JNbgAAAAASUVORK5CYII=",x="data:image/png;base64,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",te="data:image/png;base64,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",ae="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b0dEy7V/F09v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",Le="data:image/png;base64,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",Re="data:image/png;base64,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",je="data:image/png;base64,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",Ze="data:image/png;base64,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",pe="data:image/png;base64,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",a="data:image/png;base64,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",b="data:image/png;base64,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",ee="data:image/png;base64,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",x="data:image/png;base64,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",te="data:image/png;base64,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",ae="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b0dEy7V/F09v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diff --git a/p__Classrooms__Lists__Exercise__Answer__index.571a2bf8.async.js b/p__Classrooms__Lists__Exercise__Answer__index.ba6a2216.async.js
similarity index 94%
rename from p__Classrooms__Lists__Exercise__Answer__index.571a2bf8.async.js
rename to p__Classrooms__Lists__Exercise__Answer__index.ba6a2216.async.js
index 0aeed2da54..f3993a996b 100644
--- a/p__Classrooms__Lists__Exercise__Answer__index.571a2bf8.async.js
+++ b/p__Classrooms__Lists__Exercise__Answer__index.ba6a2216.async.js
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diff --git a/p__Classrooms__Lists__Exercise__ImitateAnswer__index.b2c3e5be.async.js b/p__Classrooms__Lists__Exercise__ImitateAnswer__index.4dae520a.async.js
similarity index 89%
rename from p__Classrooms__Lists__Exercise__ImitateAnswer__index.b2c3e5be.async.js
rename to p__Classrooms__Lists__Exercise__ImitateAnswer__index.4dae520a.async.js
index c67fc94a0d..d9ed280a69 100644
--- a/p__Classrooms__Lists__Exercise__ImitateAnswer__index.b2c3e5be.async.js
+++ b/p__Classrooms__Lists__Exercise__ImitateAnswer__index.4dae520a.async.js
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diff --git a/p__Classrooms__Lists__Exercise__Review__index.81f5f0ed.async.js b/p__Classrooms__Lists__Exercise__Review__index.b1b940a2.async.js
similarity index 97%
rename from p__Classrooms__Lists__Exercise__Review__index.81f5f0ed.async.js
rename to p__Classrooms__Lists__Exercise__Review__index.b1b940a2.async.js
index 124c873a52..ef33f7d5f6 100644
--- a/p__Classrooms__Lists__Exercise__Review__index.81f5f0ed.async.js
+++ b/p__Classrooms__Lists__Exercise__Review__index.b1b940a2.async.js
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",g=e(4977),B="data:image/png;base64,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",R="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAYAAABXAvmHAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAyZpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDUuNi1jMTQ1IDc5LjE2MzQ5OSwgMjAxOC8wOC8xMy0xNjo0MDoyMiAgICAgICAgIj4gPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4gPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIiB4bWxuczp4bXBNTT0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL21tLyIgeG1sbnM6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",F="data:image/png;base64,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",E="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADgAAAAwCAYAAABE1blzAAAIeUlEQVRoQ72aa2wU1xXHf2dm1jYEBClJGgofIFJLU0W04AdQWgJSW0UprZRIpB/aJBTxStIShWchJvbytA2lBCKKeajhQ5s2tGpFK1G1UowqKNjYBkraJCqqiCDEDZSncezdmTnVnd2FxaztmfWaa632w9459/7v75xzz71j4R61ssM6TkrYqMon3qesPjFNLt6LoWWgB5n1ttr/GcMCLKrE5qFgPJf3gRXN5XJgoMcfUIFlR/QxiqgVhyfVA/MxTWKgPuZvL51UtUyTjwdK6IAI/NLbWlQylhctWC0xPuN35Zi+gFUMfpIzoqxsLpffDoTIggssb9KvqLBJYnxD3dvUepq8OIAPquxzfCobJ8v5QgotmMAxDVoyYjAvi81KcRiWk1qPKm/RPIvHqy2T5FeFElkQgeVNWq42m8TmcU0G8ZVXC2ia5vOW47Lq2BQ5m5ehrIf6JbC0WQdbsMSH5ZbNED/R3+mYDHSL5kcqVLZOZB8imq/lvAWWHdWpOGySIqYEwvKk1mtsmtl5/M72WNk4Wf6dj8jIAqce1qGJEparsgSHQVoIar3M3GRadWnDp+rb5eyJi0RaykgCy47q9DS1srDUvLRzme+YFXhg5CY2YD4uf/RdVrROkffCGgk13vQTOrzdZZUKi8SmOCy1pMLUYfCDkfD7T+Cvl1PTckKNereENM1L6rFmaAc/PzRD3L6E9jlUabN+Swj2tfFB6o8Q7h0e/GQMPDcy9djBS7DjPJzthOJ+0lSPvzguyxonyz96E9mjwIpGHeGZ+lFYiEXMpP+ozQhcPgZmj7z95MUE1H8Ef7gIhnCszyXOPWqa5lWUDVcvsu3Mk5KrXsodEhUtOtNT6qwYj0allj2dXAIzvx+5CtvOwT9vQpEFVtTVMzuK8QJT1yY55HssbZ0sLd3N3LF+k47pZ70YcZS5WNj5UAsr0PS74cG+C/DLNrjppYTm0wKaSW7gUxvz2HL0q/Jpxs4tgeVN+rRvUWPF+Hx/qEURmOl7uh1ePweN11Iua+XjtsYLUjSP+BZLW0vlmLEvk07paK+LNWoxWwQxBXKhWm8u2n2MpA+/+S/suQDXvfxc1ti0ioIC/ybK5o5BbJbSJj1pD+HLXnu0DBlmEaIIzNjbfi6VhErydNeAmgX2MPCu8ZxMaNJptlBjSi6zv+VbKOcSHFVgwxXY/CFc6AI7Hzc14kzBni7xPJtFgZnxp/S+WJLFAsvEYWiko04vKMMKbOtK7Y9/+h/4mmchkFWkWz6VxyvkzYBm9vzKjmsFFnX9PfZkbPYl0BSVBy7CzvNwvqsfm3/WMct1WXUy65h1lyNMb9CS9iEsUouVls3w/tDsTeCZDjDxduhqKqHk5ZJpaprgQ/VZleug3KOnl/1dJ6QvjL4Z5uohbAx2+fBWG/ziY7icTFHLp4W96ug1lM3l0eCxvIhQicWIqBu/IbhyLDz7cErCiRup6qX5ej/2u4iXVaFyVdlxfUyFN0UojbJPGlozH4B5o+DAJfh1GxjR+VYs2deNFrx2vELa+qIfSqAxUtqkW61iXvY7+zJ55+/mFGHcsN0FJ8+a89Y1RoL3xWVF85TwF8ahBZY16RtSzEtRBRq5RmTogbqtn6GGh+vDThHiLWVyadYstffvl/Q1cu8LHnrc/giMxjzdOxNrCU6rsry1Qv5sflkQ1x8qjN5VJWvD2C2cQGMpwmG4t8lJUUAtobDds1l3coJcnVulox2LdU4xzyc62berWmbfG4GSKo80SVKK0gfjfIWaGDXFcoJW32dZ6yR5x4hYuEafUaixbcYaX3cT7NlVLfMGXGAmq4nPHlz2YvMjbJ41k4iSbYOSylBz6VThZ+2dbPzga3Jj4Todhcd6FZ4XAd8DJwZucqAF3q4gPgCWZ78GK2/S76nFBonxSKhzZfoc5ydpxGNpy2Q5HFCr0mew2WjZPOJmXZcMuMDgFZiPi1Dv3SRuXmTOqdWhRV28ZHkc3hGXw+VN+rAK67GYjWD1VCAYd/Q9borHZrWpaymTjoWv6igtZh0E59OAWnYbMIGljbrDGc4L3g3eRQNqB83A89bo4zb81HYodV06VKkb+S4b4/slMbFRn7JsaiTGF7JpZu5S/ARH8FjSMkUaja35cZ1lCTUBNXPwzhHLRmAywd7dcZlb2Bhs1C3EGNTlsOr0eLkyZ7kOdYawyoJXRCj2PDArbjvguRxVl1d2rZXGCa36oO2zBmWexLCD+ExwHai91M6WszOkc06Vfi5msc4QNzmrO7VsIbEiSCTYubtaXiiowNJmfcBssumVniGw2XaY6Jl3gN1W2oj0fTrUY9PIf7HB0Cxv0ifUZhF+SlxzuZy4i1ofV5NOyu5ltXiqvlL+VlCBGWNzV+vX7RgHnRj3JXPeRKZ6ZtP0fBbviacugTItoOakY60PasalLTuIx3dIsrh+rZwKIy6YR9iOmX7z6zUmbTwhQq1l82gugtk20zRvqrKJDrZeKaX9/vd42oIay7kzQ+aaS/C8x3WEtZc9tu2PS6TXPZEFZibx4w36YMKl2lRPIti9xY2haQh4LmcQbqBMSBPpcX2zPKDB91m8Oy4no8LIi2D3QRZW6Uxs6sLQtMzhNkfq724zTf2aKutH+rwej0gt217eBLONLKzWh8z/wWgImr1RCKgZ0h4N4rJk59pUIupPK4jAzAQWxPU7QJ3t8MW+YjMXNfW55ivriy+xbfv23C9ToootqEAzeEDTplqV+X3FZibbWqlE0iCwZOdr/adWcBfNtarzqvS7tkWt1QtNE2uGGrAhNpzXty8qDLV7IjBDUy3ioszHwspk2lux5tOgHkt3xaU1quuF7V9wF+2Rpk0dwjhTXypcQ9lYdD9bB4LaPSPYPdOqsAcYh8336yulOSyF/vT7P83Gv9qVBJysAAAAAElFTkSuQmCC",T="data:image/png;base64,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",k="data:image/png;base64,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",Q="data:image/png;base64,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",$="data:image/jpeg;base64,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",W="data:image/png;base64,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",An="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA3AAAAJMCAYAAAC7JUS1AAAgAElEQVR4XuzdBXRU19oG4I+ixVpoC8Xd3d3dIWhwh0Bw9+DuGiTB3d3d3d29QkuxQoHef72b/0xHzijJJJO8e6277rrJ0eeccOedvfe3I6TPWvt/wkYBClCAAhSgAAUoQAEKUIACoV4gAgNcqH9GvEAKUIACFKAABShAAQpQgAJKwBDgHj59ThIKUIACFKAABShAAQpQgAIUCIUCSRP+zAAXCp8LL4kCFKAABShAAQpQgAIUoICFAAMcXwoKUIACFKAABShAAQpQgAIeIsAA5yEPipdJAQpQgAIUoAAFKEABClCAAY7vAAUoQAEKUIACFKAABShAAQ8RYIDzkAfFy6QABShAAQpQgAIUoAAFKMAAx3eAAhSgAAUoQAEKUIACFKCAhwgwwHnIg+JlUoACFKAABShAAQpQgAIUYIDjO0ABClCAAhSgAAUoQAEKUMBDBBjgPORB8TIpQAEKUIACFKAABShAAQowwPEdoAAFKEABClCAAhSgAAUo4CECDHAe8qB4mRSgAAUoQAEKUIACFKAABRjg+A5QgAIUoAAFKEABClCAAhTwEAEGOA95ULxMClCAAhSgAAUoQAEKUIACDHB8ByhAAQpQgAIUoAAFKEABCniIAAOchzwoXiYFKEABClCAAhSgAAUoQAEGOL4DFKAABShAAQpQgAIUoAAFPESAAc5DHhQvkwIUoAAFKEABClCAAhSgAAMc3wEKUIACFKAABShAAQpQgAIeIsAA5yEPipdJAQpQgAIUoAAFKEABClCAAY7vAAUoQAEKUIACFKAABShAAQ8RYIDzkAfFy6QABShAAQpQgAIUoAAFKMAAx3eAAhSgAAUoQAEKUIACFKCAhwgwwHnIg+JlUoACFKAABShAAQpQgAIUYIDjO0ABClCAAhSgAAUoQAEKUMBDBBjgPORB8TIpQAEKUIACFKAABShAAQowwPEdoAAFKEABClCAAhSgAAUo4CECDHAe8qB4mRSgAAUoQAEKUIACFKAABRjg+A5QgAIUoAAFKEABClCAAhTwEAEGOA95ULxMClCAAhSgAAUoQAEKUIACDHB8ByhAAQpQgAIUoAAFKEABCniIAAOchzwoXiYFKEABClCAAhSgAAUoQAEGOL4DFKAABShAAQpQgAIUoAAFPESAAc5DHhQvkwIUoAAFKEABClCAAhSgAAMc3wEKUIACFKAABShAAQpQgAIeIsAA5yEPipdJAQpQgAIUoAAFKEABClCAAY7vAAUoQAEKUIACFKAABShAAQ8RYIDzkAfFy6QABShAAQpQgAIUoAAFKMAAx3eAAhSgAAUoQAEKUIACFKCAhwgwwHnIgwqrl7lu+Vg5d+GGTJiyRN68/dvmbf74w3eydtkYef3mnVTy6uI0SbnS+WX00A6yZcdh6ec3U3f/+nXKSbvWtWTJiu0yc84ap89hvkPgrIHqR83aDvnqYzlzgHkz+0vxIrnEt+sY2bbzmO6uFcoWkGkTesr+Q2ekhc8wZw4fYtvu2jRNdu09IVNnrZS///7g0nWULJZb/Pq1kgOHz8mAIbNsHuPSyWXy+fO/UqFGJ3n2/HeXzsedKEABClCAAhSgQFAKhMkA17dHM8mUIYVLTjduPZQhI+da7JstSxqpXKGIS8c032nrjiMqtNhq7j5f6lSJZeGcwS7f36dPn6Ro2TZO7Z87ZwY5sMNfnj77TdLnqCOfP3+2uX+Cn3+U25fWysu/Xkui1JWcOhc2rlWjpCyY7SfLV++0Gljm+w+S2l6lpEe/KTJj9mqnz2G8Q4QIEeTNrwfUj2LGKyb/+9//TI7n06qmlCyWx6FznL94U4aPCXBoW2yEoIvA2rDFQFm3cb/ufjWqFpfF84bIjt3Hxcu7p8PHxoaJE8WTvLkzObWPtY0vXLold+4+tnusXDkyyMGd/vLq9VvJkqeeZEhn/2/88LELFu41q5eUhXP8ZMPmA1K/2QCr59Xet7dv/5b4KcpbHMfuBdvZIHPGlJI7Z8avPYzN/U+cuizXbtwP1nPw4BSgAAUoQAEKuFfAowJc7FgxJE6c2DaFEAY2rBwnxQrndEny2IlLUrpye4t9G3lXkFlT+rh0TPOdOnYfL/MWbLB5LHefL0umVHJ8f6DL9/fhwz8SN3Fpp/afPrGnNG1YWQYO9ZfxU5bY3dcdAe7O5XXyc/wfpHj5tnLqzFW712RrA3sBbsakXtKkgWNBdPe+k1KtTneT0yVJHF9KFM2lewnt29SWzBlTyZzA9XL2/HXdbXJmTy+tmlWXy1fvyHT/Vbrb7Dt4Rh49/sXid3W8Skug/5fexa9tjoblscM7qt7RgIWbxH/eGjlxYL7dU+OdTJEsgcSMGV3OXbipviRwNMAhACMI4z3A+2CtZUyfQrJkSm33WrbtPKrCp9Y6t/eW4X4+dvf7mg26950cJD3JX3MN3JcCFKAABShAgaAV8KgA58gHnoIlW0ikSJHkh7iWQe+bb76RFQuHC/67TqO+uj0+f758rfvBXQtUl67ckWUrd7j0FLyqFVffuDsT4Nx1PtwQAoezLW6c2PLwxiZxNsDFiPGt3L28Tj2LtNlqCty1VrVSUfnxh+8tLuX772LK0IFt1dC5nv2n6l7qjVsP5MixC7q/s9cDlyZVEjl/fIn8889H1eOC//6a5miAQ4A5cOis7qkypE+ueg31AlyVikVk+YLhX3OJdvet16SfbNp6yGK7PLkySosmVe3u78gGK9fslr0HTtvcFO8Jel/jx4srJSr4qOGMY4Z1kG++iaB6xvH+oSfRvDVqOUi2rZssBfNnlWTpq8jvL/5yOMB179RQBvdvrb5swd+stdara2MZ2Kel3VvNU6SJXL1+z7BdqeJ5pFrlonb3wwaVyhdWXyxs33VMnjz91aF9sNHqdXvl4JFzDm/PDSlAAQpQgAIUCP0CHhXgEKI6+NRVqlEiR5Y0qZPIv//+azJEqGHzgXLz9kNd+XRpksnZo4vk+s37kqtQY6eejhbg1m7YJ/hQ6EqbNqGHNGtUxakA567zuXI/2CfO97Hk8a0tTge45o2ryNTxPWTu/PXSqccEk9Mf3j1HcmRL59IlBSzcKB26jdPd116Aa9GkmkwZ100Ft4uXb9k9P+ZQofdQawhsR/fOM/nf6NlEQxDXhlCeOnNFvQNaD1zdxn1l87bDuudDL9mhXbN1A1za1EnFq1oJ3f28a5eV1KmSyJr1e01Cg/HG6DlCb9TtO49k2aqdusfB+2ft78kuUBBuULpEXtWzjoCes2Ajw5FhcO7YYrl4+bYUKNFc94yYN+dKgFswe5DUqlFKOvUYL3PnW+8x1wLcmXPX5MKl2xbXgKD904/fi3mAc4ZHuwf0wiLMs1GAAhSgAAUoEH4FPCrAGT+mpEl+lmtnV6ohSQlSVnDoCeJD7dwZ/W3OgbJ2oPAQ4KJHjybohXKmYVjr9g1TnApwkSJFlPPHlkiypD+rD+O37jxSp8Sx8Dx929aWxAnjW1wGeu0Q/NDbMjtgve5lnjh92TDnCx/uC+TLYtgOc+6aN66qelgDF20y/Hz56l3qmEsDh0q1ysUcvn3MLcMcM62hl+j1L/rzzYwPit6mKrW66ga4ti29lMOYiYvULrYCnK0LDe45cA4jBdGGc6b3ExSYQfGZSdOXGY5at2YZCZg1QGx90eFogMPfON4PrSHgYuglAuxLox5i7fe1GvSWF3/8JVqAszYU+MCOWarnnQEuiF4GHoYCFKAABSgQzgXCbIDDB3HMrzJuqVIkklQpE8vde0/ktk7RhNkB6wTzVPRaeAhw+fNmlj1bZrj0J+HMEErMu5o0pqsKUb5dx6rzIfycPPhlTlOF6h3lt99fWlyHs3Pg8GF86njTeWN6N5c8Q1VBOLxwfIl8/PhZ9eSgUIq1hiC4eslo3dCQKGE8w24Y3nf93Je5Zelz1JZ///1SxOTDhw9qKJ9eD9zFE0slYYKf5MekZdS2zgQ4BONPn74UgglLAQ4FUxD4I0eOKGmz1ZJffv3DYDxqiK908Kkjoycs1C0+hA0dDXCODoXUTp4kbWX5489XHhvg0Dsc6P9lNEHztkNULyYbBShAAQpQgAKhXyDMBrhO7erJiMHtnHoCXXtPEv95a3X3CQ8BLnmyBOLbpo5TZlGjRjH0ijlSxOTbb6PK5VPLVWDKmtdbfv3tT3U+zXfrjqNSu2Fv3WtwNsBhnlb1Kv/1qKGwDYZmYggt5hJpbcTY+TJycDvBEMpps1ZKrwHTbBpgOB5CAYYnNm7lZ3VbR+fAGQ+hdDXAoXcZpfGb+wxTcwBhFSNGNHn2/IWgiqJewzNI8PMP8vbt+1BdIn9JwBCpXqW4GuqZLX8Dk1vZsWGKFC6YXRU2OXD4jMnvrl67p4aPOhrgMMwRc+zQUB105JD2qlps244jTY67fsU4wXuPAIfmzh44zN3dsl1/uK1Tf7giargw3nm0hUu3ik+nUc4egttTgAIUoAAFKBACAmE+wGG4lbXhdpp3t4711QcZRwLc+/cfTApuOPPMvosdUzBM0ZkiJu46nzP3Ybyts3PgtMIQWH9rwtSl6lAxY3wrpw8vVGEib9Fmap6TXnM2wJkfAz18mTKktBhCi+NePbNCzafMlLuePP/lhU2OQgWyyc6NU2X1uj3SpLX1pRfcGeBmTektjbwrqsI8fsPnGGxxI+hpcabYCYYFWlsSAj2C6OkLjobeQ/OKmcWL5JQtayep05kHOPg+u7tNYsWMrns5w8cEyoixgQ4HOOODTB7bVVo2ra6Gsg4eMcfwK/z9/np/h6A8f6lKX6rVujPAvXv3Xqb5r5KJU5eaVLR05Xk0qFteZk/rq3ZFSF20bJsrh+E+FKAABShAAQq4WSDMB7hBw2bLuMmLFSuG6aGSIRbm/evVGwM1Kht27VDfoQCH9c7ev//HpccULVoUVSHTmQDnrvO5dENOFjEpWyqfrFo8Uj0HfFhEGXzMucMQOXwYR8n7zj2/FDTBB3f01hm3H+J+L/5T+6gepSatLXu+Xv71RrAMhF7Dmlta2XkUFClevo3hOY4e6iu+beuocusou47elfUrxqoKfnrLPRQpmF3N+0P1RFsLdLszwOGesSTB+JGdlRuGA+MLCRRO0dZPQ7iDkbWG54JAjl7RFBm/9MyYt0c3NwsqjwZHw3BErVcLx48YMaKcOBAoGdIlV6czD3Ba1VAMqZy3YKPhkvLkyiBlSuaT/oNnysRpy1wKcJhfi3m2lWt2ESyloDVt7cIFS7ZIu86j1Y/dGeC064DV2ImLZNa8tV9VLTVr5i/LH3D4ZHC80TwmBShAAQpQIHgEwlWAS582mZw5ssjig6AzAc5dVSHdNWRz1eJREjHiNy6/XZEjR5KSxXKr3qtdey2r49Ws38tQfbFMybyC4Wdaw7w59PZgzhf+O1u++obeTe0DtDMXdvrsVSlWTn+9Lu0Za8dDaXzvpv3VtWEuWr1aZSRjrrqq901bJ2zV2j3StI1lDxuGYm5dN0lWrNklzdsONVwievLSpUlq+N8IRJtWfwmkKFoCI60dO3lZJo7uokKX8RBK9ATGjfud/JyivNrUmTlw2vao1oiQ5Td8toydtNgQ4LCgc+7C1quvYh8ENFsBbs3S0arIiiMtb+6M6gsLVGf88MH+kgwoYIP3RWuY24Y5bq/fvFO9bOYBrk0LL5kwqrNMmbFC+gyabthv5uTe0rh+Ralau5vs2X/K6QCn/TuBaqQJUlUw+cKmWaPKMm1CT+k7aIZMnrHc7QHOt+sYKVY4l1psHu3xk19k8Ii5stTFpU0ceY7chgIUoAAFKECB0CXAACei1hZztAcurAW4v57tVR+yg6vFil/cEFzQM9SwXgW5c/exKiKDBaIDZg6QOjVLS/suY2T+4s2Gyxg/spPuWnC2rvPu/acmw92Mt715YbWad/f9d7FUgRTMd5o1d4106zNZ9Vhh+CF6rdC0AiDWSrZj8ezNaybKkhXbpbXvCMNpHC2agh1Q1KRP96YWAe7Fo13y6PGvkr3Al7lejgQ4LI9hPOwUvY19ezSTVr4jVG+l1gMXFAHOmfcE6wP+EPc7SZe9ljx+4vjaZdo5ECYR3Dp0GyuzpvQxCXDoJb10cqmgaEzh0i3VIt1awxzLFMkTSuI0ldQXAo7OgdP27+hTV81/23/ojFTy6mJyy3gv27asKbUa9JJtO7/Mo3RnD5z2TqLgEBY2x/uBhp7nzj3Hy+Wrd515RNyWAhSgAAUoQAEPFGCAC+cBDr1GjjT0LGEuEsJXuWoddXfBkEEsoI4Ki1rDgsvWWvkyBQQ9OidPX1GLMwdXw4LJG1eNV0MkfVrVVHPgMIwWc4CMe1JwfiyWjLCH606fo47qocPPjOfFaWuSGQ+jw77oYWzdvIbhNjBfqniRXGrh8X0HTReqxvC7wf3bmAQ4hB2EngOHz0rFGp3VcewFOPQcYh4TljRACH6jU7DEUwPclrUTZffek6oyrHnPefs2tdVC3ua9cto8yXv3n0rmPPWUobMBDuEcIR3DeTGs17hhTT48k0y568r9B89CLMBp14SexuF+7VSPK4bI4h0fNjpA9VqyUYACFKAABSgQNgUY4MJ5gNNeayy7kDZ1EjXkTq+h+AeKgJgvpGy8bd8eTdU6WrUb9lHV+2w1FC45c2Sh6mUrUKJFsC0WjXlUx/bNU0Fs7KRFsmC2nwpwmId4bO88SZkikdRt3M9Q2U/rTRk2ep6MHLdAzYXLlyezmhOmzX2sULaAWkbA1qLhuHdtWYYLl25JwZItLDjMlxHAfKRj+wLUcLhW7Yc7FOAQJhbPGyzJkiZQ4RpDELV19bQTBmeA09bu03vWtnrgcN2//f6n6oW11nDdGH5pPvQZwfjK6RUS76c48ubNO/UsMZwVrY5XaQn0H2hSIdSZAIde2sc3N6tCLWmy1jQJ7igGc3x/oJg/z5DogTM2Q2/ymGEdVU82Gr58wFzO9ZsOhM3/1+JdUYACFKAABcK5QLgKcCiGgGqHWJg3R4GGhkfvzBBK9AZohTacfXeGDfRRc1ecKWLijvOh5+fs0UUqTO3cc0Jathum5qQZN3sBDossY7FlzBuq06iP7nw44+NhQXWUvjfvAUMvHuaOoTdhcP/WDs/PQ48aCtaYN20eVZdeE+WPP/8yBLgWPsNUMNu0arwULt1KvRMIe9fOrlCl5NNlr60+vOMaUDmzUctBat03tCoVi6iqjhhyieNaa5rJ7n0nBUPfzJt5gNOCIYruaPdirwcOx0R109nT+kjlCkXk9xcvpUa9nibVHIMzwGG4YqxY0aWSV2eL4XvWApy2DiDebSyGba+ZBzitkikKeeCLgChRIsuiZVtV0ZZRQ9qrirLG75UzAa5S+cKyctEIefDwmeQo2Egt8K61qeN7qCUzzP9+QzrAadeHIkGTx3ZTxVd6DZgq02Z9WYOQjQIUoAAFKECBsCUQrgIcPuCsWz5WzD9QOxPgguLxOxPg3HU+fOhbNNdPcufMqHpyqtTupj7Eak0bhojqnYVKtRQMUdMa1lqb7z9IsHA11kWz982/FqqwFht6jLD+HAqhlCiaW4oVySnV6nRTc5pePt0rKJLiSENwjJPoS2EHrWHo4/njS9QcvPTZa0vZ0vlMAhy2Qzi4fvPLsgVe1UrIormDTapLapUOt+44onoWjbeb7r9KevafavXy+vVsLuiVxPlRrRJVLY2beYDr1rGBDBnQRoVCbT6eIwEOx0TwnTSmiyp9v37TfmnQfKDhVI4GOG07BNdUmf8bCmrtBrUS/+hFy5Dzy3BT42YtwGH+2vlji1XQsDbP0Pg45gHu6N55ki1LGsGaaOjFWxo4VK17hxAe/duoal4cCtI8fPRcHcaZAIdethULR6geTcwZbOEzVPW4ISTfvrRWPUvYGA9VDS0BDveK3slmjarIjNmrLZ6HI39H3IYCFKAABShAgdAvEGYCHD7Aocfj4uVbqvdHW8jbeBkBrTiB+WLNzgQ4lCy/fPWOS08WPYCouOhMgHPX+XBDGDaGXgbMq8EwLPRM4cM85lnh5/hwiIbKd2WqdBBcG0rwo0fl48dPag4WCnvYatgWhSDQy4aglz1rWlVwQmv40F2pZhe5e++JIcBhOKF5ODA+B+aAYQ0x8wC3YPYgqVWjlPQeOE2mzlwptWqUtAhw2nEQgE4dWqBK1mO4Iz60Y2hanlyZZObkXuoDfMpM1QW9PnVrlpGAWQPUWmtYz85aWzxviNSoWlz1Zn4XO4bUa9JfzefSGiwQgiZMXaaGCmrBBAUynjz9TYXkH3/8XoYNbKvKvI+esNDue9e0YWVZtmqnSc+RtQCH+xju56Pm6P39/oOkTplYLaFgXl3T2kkR2tGjPHxMgGAxdPNmawgl9sP+WFQda/+hx9VaMw9weD+LF81lqACKoI4Qhx5VNPMvaJwJcNgfzxrPHMOK8V5jThm+IEBhE71hs6EpwNl9QYw2wPuNLxnQsF4eqo+yUYACFKAABSgQ+gU8PsDhg9XBI+dUDw5CAYpDoLiEXoDTejzMKx46E+DCWhVKvVd0xOB2EjlSJOnrN0MVikBhDq2UO3rgEHb++OMv1QuROWMquXLtrhp26chaUncur1NFQbSGde6On7ws6I3Df9DroTWtBy5mvGI2Axwqaf777/8sAtzuzdPVsNDcRRqrgGcrwGnhHqEUBUfy5c5sEixxTVpRC62UvLXggm0xHPPB9Y0SO1Z0yVWosaxYNEKSJflZvLx7qSIl5i1t6qRy7thiuXr9nmzcclB6d2uievzQ8+dMwzpuGE6KkvxasxbgEJzPHF6ohiDimSKsoOz+oGH+dqsZ4jx4lughRe+bXpVJe1Uo92+fJXlyZZRufSbJrLlrHQ5wsMXQSeO1HHEdpw4ukDSpk0jDFgNVURetORvgtP2wTMHIwe1UqMUXCDDSwr3xxXpqgDNeWsN8KQZn3jluSwEKUIACFKCAewU8KsDhg2a+3JnUt++lS+RRw/20hp4iFKeY7r9anj77zSLAYRFtzNdBT13x8m3l1Jmrhn0Z4CxfOgxDWxIwRH3ARjn10eMXyrb1k1URk2ZthqihqJgrtvfAaTUMEkHakYb5SwkT/KjCHv5z9fpdqwujf22AQ5VJzHvTyr3bCnBa6XntHjCMFF8MHDpyXu4/fCZ7t86Q4ycvSalK7aVd61qqhLu2ULTefRfMn1UN3dNK0SMsHdjhL1GjRJbKtbqavH/YH2X/+/VspuZuxY4dw+UAN3lsV6lTs4w0bjnIMA/RkSGU6H1FQ9B1pPm2rS2jh3ZQcyZr1Ouhu4u9AKcVeUEPJZZVePfuve5xrK3faLyxVhkUS0SkyeqlwujXBjjsj6GaqEqJKo84JoZ8mgdwTw1wPbs0kkF9WykmW19GOPI+cBsKUIACFKAABdwn4FEBDkPl8KFca+gV2rHrmKrah2GTxgsl58iWVgoVyCbHTlxWw9M6t/dWw8XOnr8uRcq0FgS6PDkzyqGj56VAviySK0d6OXj4nNVeJHctrK3dm7vPZ/zKVSxXSC1ujSFWk6YvkwFD/NXQQuMqlJi3tmnVBFXFMWDhJukzcJpuCfuveZW/NsChp8Z4aJ6tAIf5ZxgiisXAEe6Nl0LAPaBiJoYYps7iJRim6NevtSqa4T9Pv+cIvZjoBTYeLot5hKhq+dert1K2iq/qbUNLnSqx7Ns2Sw2zROVD9Hi60gOHeVsXji9R94xeMW1InCMBzvw57dkyXVWz7NF3ikVJ+h9/QNGbxWqNN+NFyM2PYS/AYXssiI6F0Xv0m6Lmbek1ewEOf8unDy1UPabGQ6aDIsBpf4fasWDbf/AsmTJzheFSPTXA4X3Hu4yGNRitBeiv+RvmvhSgAAUoQAEKBL2ARwU4zJsZ1KeVmkeE/yB8GX/Tbo0HQ/YQPvCBs0L1Tmo/rAuGtZ4wrwhzXGzNscJx3R2o3H0+3CPK2I8Y3F65YAHoNh1HGoai6VWhRMBDT1yObOlUwYi2HUfpDg909LXFAtSoAoj5dwuXbjXMgXN1CKX5eW0FOHvXiDXeMLwTQwVHDfEVFGJp3naooXy98f4YXnj17EqJET2amjdnHAZR1KSLb33JU7SJWkcMpfD3bZspyZMllMXLt0mbDiNlQO8WugEO66IdPnpeLW+g12ZN6a0WJNcWKNe2cSXA/f5wl0SNGll+SFLGondVqyCKHkr8PVlrjgQ4bS1AFELJlLue7lw4ewHOr18r6dG5kVq6oli5thbHwLxThDx440uemtVLysI5frJh8wGp32yA1evH3wHebwzPxNBsDBdG7ysavjTCz/DvjxbgsEyF3lBQLAyPnrw8RZoYQru9983899owUEeKvjh7bG5PAQpQgAIUoIBnCXhUgMMcFHtBy5wfQ6tQ3h4flHfsPi5e3j3VJuVK55f5swcJ1rHCz5u3HSIv/3pj9ekZBypUWnSlTZvQQ33j7UwRE8y5C+7zIeBiKFXDeuXVPEL0Urb2HWEyH83aMgKYi4SeURR8wLPBh2IUtMC8OHsNH6xzZk+nAiN6/VCVEE0rDvK1PXBBGeCMj4UlBLCUgLUP07DE8LR9B89I5ZpdTC4D7zDuF0NPsebYjg1TVABGMEPlTwxFtRbg/nyyRxXpQUgxb6ieeGTPXDUXEAtYG89JczbAoVf10sllao02DG00bphrumn1BBVc8hVrpobUWmuOBDjsi97N9GmTq3mUKMBi3mwFOBSJCZw1UL17qI6q9WraevccCXCo/onAjH8fxk9ZIgOH+qtDIsChcA/+TrRiKVqAs/e+M8DZE+LvKUABClCAAhRwRMCjApwjN6Rtg8DW2ddbUJwCH5rRY4dqhn++fG04DD4YYkFmDL1CNbxKXl1MFu41Pp/5UCpnrsV8W2cC3NecR9vX2vm+/TaqdPH1VsNLESZg4zd8tsxbsNEiKKN37MQB6wt544P9mOEd1VBLfJhGEQlUtjMuSpIqZanw51QAACAASURBVGKpW7O05MiWXgU342ImCAToGd287bAKgZjTqAU4BDpbwb1rh/oqUJhXoTS3+5oeOO1YCJmXTi6VSJEiSbrstSyKd+Aej+6ZqwqDlKjgI+cv3tR9hFiyANUlMewRYbdMZV9DUQ4twHk37a8KmqBpyxmsWrtHmrYZbHJMDBU9uNNfVfTEkE4M7TRu6P1BhUsMkUuWoardoXLa8gfmARS9WCgUgoCH3ia/4XOsvp7otXp6e6salqrnZLxjkwaV1JBdOOQt2tTimNYCHBaNx5w/hCm9oZPWLg7DsPGlg7UeOFzPhFGdJVq0qMofz8G4Va5QWFXQxGLZGHqoBThUKH1p9O+Ltk+ihD+pQigMcEHxrxmPQQEKUIACFKBAmApw+JCED1dYTgBD3rQ5UINHzFXfous1FCfAECcU60Dp+openVXPg3nTAhyqJr5//9/ivs68QvgAjA/+zgS44Dwf5jLdOL9afbjE8D0U5TAe7ofetbfv3qvwpFVePHbikpSu3F73tuHdunl1VZpcVSm8+1iy5W9gCF9YL25JwFC1L46J3puTp6/K3gOnZOfuEyZVBbHN164D97UBDr0vJYvnVs8bpfYzZUypelDRG6nNpTQ+R6yY0WX/jlmqN0lbusD8GtCzg8qemHeJhuNgPTMMG9UazjF9Yk/VK4ceKRQYaVivgnpH9QqnaMUocIycBRuZVKDEMRFwUDESX2pgaYLDx87rFitB6EyVIpHkz/vl2jr1GC9z528wXBf+VqaO7656DHMWamTyd5A3dyYplD+rWo4AvYhFC+VUSwygqifmDRrPTzU3wXkP7Zqt1q8bN3mJxbBovQCnLeaNY2GeZj+/mVb/FNW6cOmTqzmaESN+o4Zho8iMeQjFdSC4YR01tJVrdkvbTqNMlmTQToLeYxRLQvPUOXDO/NvFbSlAAQpQgAIUCD0CYSrAYW0urG2Fhjlcq9fvVQsiW+sF0R4DPqhvXjNBMNQM63+hVLh5c/ecNHedD8U7jhy/oEr5m7cb51dJ4kTxVY+NtgbckJFz7a5HhrmGA/u0kD37Txt6kHBs9NzUq1VWTp25ooKbcRl4vT8JLcBhXpitHjjM/dJbB878mM72wCFwP7uzTfWmGTeEkkpenU16F/H7wf1bC4KFtcqMCMpXTn+phIoeRvQaITibN1T3vHpmheoBMm6o1oheHJxfawg3x/YFqGs0L59vvC8KqvTu3kQNCXSknTh1WQ3pxN+ReUOQQ2+TcatQtqCsXjLKYlt7a+U5ci16AQ4BFz1lvQZMEyyobqtpi6Gbb5O/eDO5dOW/NR3xpcPh3XPUUF586TNu8mJHLk9QnAZz+bDkA3otzRvmSyZN/LP6EgnP3ZXGOXCuqHEfClCAAhSgQNgUCFMBDt+0B8zsrwpL4NtzfOPuaMPivYvmDVY9HHrrmaFnb2CflmreC0q9u9IQliqWKygTpy1TQwVtNXefT+9a0FOEJRvQ0KuyZfth8Z+3zuLDuysWjuyzavEo1ftkrUy9dgwEBwQ8rJtmq6HXq3P7emqo5rRZtj/0a8dBzyPeKwQkGKCXdsOWg7rBBoEPywsg5KKcvV7DnC30YI2ZsNDm+4nevErlC0ncuN+pw1y9dlcOHb1gUaDj++9iSpcO9SVFsoR250piWGOBvFkMYVzv+lDZFT1L6KlzpuE6tJ4r7Pfu7w+yc89xp4+jd04Mcd6wYpxazqFq7W5qE4Rc9KIZr/dm7XrRMzxpDOYiRlCbPHj4TNZu3KeepXlD7yoCnPGC6844BNe2GLKJYcfoETx6/GJwnYbHpQAFKEABClDAAwTCVIDzAG9eIgUoQAEKUIACFKAABShAAZcFGOBcpuOOFKAABShAAQpQgAIUoAAF3CvAAOdeb56NAhSgAAUoQAEKUIACFKCAywIMcC7TcUcKUIACFKAABShAAQpQgALuFWCAc683z0YBClCAAhSgAAUoQAEKUMBlAQY4l+m4IwUoQAEKUIACFKAABShAAfcKMMC515tnowAFKEABClCAAhSgAAUo4LIAA5zLdNyRAhSgAAUoQAEKUIACFKCAewUY4NzrzbNRgAIUoAAFKEABClCAAhRwWYABzmU67kgBClCAAhSgAAUoQAEKUMC9Agxw7vXm2ShAAQpQgAIUoAAFKEABCrgswADnMh13pAAFKEABClCAAhSgAAUo4F4BBjj3evNsFKAABShAAQpQgAIUoAAFXBZggHOZjjtSgAIUoAAFKEABClCAAhRwrwADnHu9eTYKUIACFKAABShAAQpQgAIuCzDAuUzHHSlAAQpQgAIUoAAFKEABCrhXgAHOvd48GwUoQAEKUIACFKAABShAAZcFGOBcpuOOFKAABShAAQpQgAIUoAAF3CvAAOdeb56NAhSgAAUoQAEKUIACFKCAywIMcC7TcUcKUIACFKAABShAAQpQgALuFWCAc683z0YBClCAAhSgAAUoQAEKUMBlAQY4l+m4IwUoQAEKUIACFKAABShAAfcKMMC515tnowAFKEABClCAAhSgAAUo4LIAA5zLdNyRAhSgAAUoQAEKUIACFKCAewUY4NzrzbNRgAIUoAAFKEABClCAAhRwWYABzmU67kgBClCAAhSgAAUoQAEKUMC9Agxw7vXm2ShAAQpQgAIUoAAFKEABCrgswADnMh13pAAFKEABClCAAhSgAAUo4F4BBjj3evNsFKAABShAAQpQgAIUoAAFXBZggHOZjjtSgAIUoAAFKEABClCAAhRwrwADnHu9eTYKUIACFKAABShAAQpQgAIuCzDAuUzHHSlAAQpQgAIUoAAFKEABCrhXgAHOvd48GwUoQAEKUIACFKAABShAAZcFGOBcpuOOFKAABShAAQpQgAIUoAAF3CvAAOdeb56NAhSgAAUoQAEKUIACFKCAywIMcC7TcUcKUIACFKAABShAAQpQgALuFWCAc683z0YBClCAAhSgAAUoQAEKUMBlAQY4l+m4IwUoQAEKUIACFKAABShAAfcKMMC515tnowAFKEABClCAAhSgAAUo4LIAA5zLdNyRAhSgAAUoQAEKUIACFKCAewUY4NzrzbNRgAIUoAAFKEABClCAAhRwWYABzmU67kgBkWjRokiSRPHl7bv38vTZbyShAAUoQAEKUIACFKBAsAowwAUrLw8e1gUmjekqrZpVl35+M2XS9GV2b3fWlN7y+vU7GTd5sfzy6x9q+2qVi0nfHk1l3oKNMjtgnd1jOLJBlCiR5fDuOfLw0XPxbtpfPn78pLtb9OjR5MT+QHn4+LlUqdVN/v33X0cOz23+XyB/3swy33+QwfnFH38Fi82330aVvLkyycEj5+R///uf4RxdO9SXJg0qydRZK2Xu/A3Bcm4elAIUoAAFKECB0CXAABe6ngevxoMEsmRKJUf2zFW9b2mz1pTXb97ZvPoEP/8o18+tlEiRIkmuQo3k+s0Havtl84dJ1UpFpUO3sRKwcFOQCBQqkE12bpwq5y7ckMKlW1k9ZoWyBWX1klFy4tRlKVmxXZCc2/ggfXs0k0wZUrh03Bu3HsqQkXMt9s2WJY1UrlDEpWOa77R1xxFl5Er7LnZMOb4/QJIm+VmmzlwpvQdOc+UwFvugVzd50gSSMkViyZcnkxQpmF1yZk8vkSNHkso1u8i+g2cM+xzYMUty58wo9Zr0k01bDwXJ+XkQClCAAhSgAAVCtwADXOh+Pry6UCywff0UKVIou0yctlT6D55l90oH9mkpvbo2ll17T0j1uj3U9rFiRpf71zZI1KhRJHUWL3n+ywu7x3Fkg97dmsiA3i1k5Lj5Mmx0gNVdJozqLG1aeMmo8Qtk6Kh5jhxabRM7VgyJEye2ze0xpHTDynFSrHBOh49rvOGxE5ekdOX2Fvs28q4gs6b0cemY5jt17D5e5i1wvucKPZcrFo6QksVyy/v3H6RNx5Hy9u3fdq/pt99fyumz1yy2S54sgcyd3l/w3z/H/0EiRIhgss3nz5/l0pU7MmHqUlmzfq/6Xbyf4sjdK+tVj1ziNJXlr1dv7J6fG1CAAhSgAAUo4PkCDHCe/wzddgd5cmWUscM7yi+/vhDfrmMFH0ZDW8PQwX/++Rjsl5UjWzo1RBHnypirrjx7/rvNc+K6bl5YIz/9+L1Uq9Nddu87qbavX6eczJneTzD0bsKUpQ5f9937T2TjloNWt9+8ZqKUKJpLSlTwkZOnr1jd7tLJZZIyRSIpX62jHDp63uHzd27vLcP9fGxuX7BkC9Xb+ENcy6D3zTffyIqFwwX/XadRX0FAMW9/vnwtp85ctRrgEGiWrdzh8DUbb+hVrbjquXIlwH3/XUxZt3ys5M2dyelz79xzQmrU+xLejRuGSP5yb7tEjBhRXr1+K69evZHEieKr3kG/4XNUD6l5D2/j+hVl5uTecvb8dSlWrq3Na0HIMx566fSFcwcKUIACFKAABUKNAANcqHkUof9CVi0eKRXLFVIX2mfgdJkyc0WouejcOTNIzy6N5Omz36VzzwnBfl344IwP0IuWbZW2HUfZPV+DuuVl9rS+cu3GfclduLFh+7XLxki50vnt7m++wdYdR6V2w94mP44UKaIKAJEjRZR7VzfIh38+StpsNeXz5//mtSFwah/kEdwQ4N69ey+J0lRyKviiF6yDT111/iiRI0ua1EnU/Dncn9YaNh8oN28/1L23dGmSydmji+T6zfuSq9B/Ho5AaD1wazfsk0YtBzmyi8U20yb0kGaNqjgd4PAlxpxp/dT9/vrbn7J522GHzl+pfCGJHy+uLFmxXVr7jtDdJ0O65OqLgJd/vZGypfKpkLh89U5p4TNMd/vlC4ZLlYqODSX9489XkiRtZYeulRtRgAIUoAAFKBC6BTw2wBUumE1mTuotsWPHkOFjAoOs+IP2uFo3ryH9ejaTV6/eik/nUXL46IXQ/STdcHUotNGvZ3N1pgrVO6mCCqGlTZ/YU5o2rCwBCzdKh27jgvWyMHwQQ9dUYYmiTeXKtbt2z4feOvTate8yRuYv3qy2T5jgJ7l2doV8+PBRJk1fbvcY2CBv7oxSpmQ+NdwRwx6NG+ayYU6brYberi3bv4QO37a1ZfTQDg6d9/TZq1Z7eTAH7NrZlarnKEHKCg4dz7t2WZk7o7/NgGLtQCER4DAvDUNgO7Sto3oNMbyzYYuBDg15xfxGzHPEEMfchZs4VK3UXoBLnSqxnD60UBDa39gYuvlNhAgSI8a38uDhM9VTzEYBClCAAhSggOcLeGyAu3xquaRIntDwBFDsYPSEhUHyRDBPCR/WtHb33hPJktc7SI7t6QdBcYxff/1Dbt15FKpuxZ0BrlL5wrJy0Qh59PgXSZ+jtl0H9Fqi9/L3Fy8lbbZa8uHDP2of/6l9pGG9CjJ20iI1TM6Rtm39ZClaKIdkz9/A4hloAQ7z6LRzaMf88Yfv1Qd5LcAhfKL3DYVV0ANnbXhdxIjfSLRoUdVQxuLl9Yfp2QtwqLKJcG3cUqVIJKlSJhb8bd2++9ji1lGNc9vOo7ok7gxwmJvYrFFl6daxgQrcaNNmrZS+fjN1h32aXzB6Gg/s9FdzHY3Du71nbS/AaT230/1XSc/+U60eDl907dgwVVas2SXN2w61d1r+ngIUoAAFKEABDxDw2AB3/9pGNZ/IuOn1Sjj7DLTiD8b7Ya5X8gxVnT0Ut3ejgDsDHOYBtmtdSxYv3yZtOoy0eZcYNnfiwHz1rq7buF/12qBlz5pWzaFDr0zGnHVNClCghwdfTnz69Fn1nGgtbeqkcu7YYrl89Y7kK9bM4rxagNPrHQ2YNUDq1ixjCHA9OjcUv36t7Vaf1Ob6YR4d5tPpNXsBrlO7ejJisHMVLrv2niT+89aGaIBD8RW4oagI2oVLt6TvoOly/NRlQXXNNKmSSJdeE632wqFK5f4dswTPbdmqndKynf5QSBw7bpzYkixpAsP9YnmCcSM6CebMGVfivHj5tpQtlVdWLxmthlvmKNDQZvXTIQPaqPCJYcVzAte78S+Sp6IABShAAQpQILgEPDbANW9cRaaOtywGMHxMgIwYO98lL+MhgsYHCMry7sbHxQffOl6l5cUfLyVw0WaJGeNbKVemgCobjjldqOJ39vwN2bH7uG6pc21/zGvCfDR8y9/Z11uKF8mpqhpevX5PfXBDD4txw9ynyuULS9YsaSRThpTqA+jFy7fk+MlLsm3nMat2SRLHVyEAc51QDc9aK1Myr6CnDqXP8cEUxSYuXLqpjm0cSPT2x3XXrlFKcmRLq4YcovjH/QfP5PzFm+oDqHGlPfQu5M+TRR2mWuWi6nxnzl2TjVv+K6e+YMnmIC+2cuJAoGTOmErNZcKcJlsN85jQm4JmPGdL60nzGz5bxk5abHIIhD18QWE+7G30UF/xbVtHd/gkDuBogDt24qJcPr1cVZIsUqa1zTL6eA8P7PC3GfQcDXBYJ292gO0Q0a1jfWnRpJo4EuBQ/RGFTlxpCFeoJGmriAn+Hg/tniMxokeTwSPmytKVO1RPJZaPmD2tn2TNnFpe/vVazQdduHSryWUgoC+aO1gViEHVyKZththcYw89seiRtdfQg7tt3STVe9m4lZ9JRcqJo7uoJS2M59gd3x+orjdfsaZy+ar9ob72zs/fU4ACFKAABSgQ8gIeG+BA18Gnjowa4muhiDlxI8YGOqWLb9Qx5828YW0nrPEUHA1Ba8vaSaqQQ9GybWTz6gm6le0+ffokvQZMk1lzTXsktP1RnS5lpupycOdsQSEE45Y0XRVV4VBrCGBTxnWTmDGj697S6nV7VIVJvTXNMHQPwQPX812Ckhb7I2yhLD2KQ+g1hC8M49q+Sz8kIghgrhA+/Frbv1OP8bJq7R71a79+raRH50Y2H03+4s1UgAyqhoD54tEuVeY9Z8FGcuPWl7Xc9JpPq5qqF0VrWoDThlRiIe/MeepZBGxrAQ5De+vULC3eTfrrFgdxNMDhCwL87WAuHob12WqotLhv20w150uvpD/2dTTADRo2Wy1gjoZeRlRzRIEV41A+dGBbweLUjgQ4vIfv338Zjupsw5w2VMi0V4USwyb/+PMvi/Pg+tu1rin9e7VQX5ygd7Vtx5FqPhrmz44a0l59iYKfN2k92O5wy1LF80in9vUMt4FeO3xhgi9XjOdY4m9z+/rJathp1drdDNtj+YErp1eoQJkodSX1cwyPvX1prfLFz1iF0tm3hNtTgAIUoAAFQqeARwc4kLZvU1vGDLMsxGBv/Svjx9G/V3Pp072pxRPC3BLMMQmupgWwe/efysPHz6VA3iwycJi/7N57Uu49eKp6eapXKSZdfOurS8CHX3wI1ppxgEM1PBSGQLnx3ftOqZCFb+m795lsCGPGPYzoMVi5Zpfq2UqU8CcpkC+rCkTffxdLbt95JIVKtbQojmArwOED7a5NUyV/3iwqMA4c6q/K0mO+XOpUSaRerTKCQIPtEBoWLNliwooPrHu2zlA9dgi06PHAell///1eMqRPIV18vVUFTPQ2lq/eSd0netyyZ02jjlO/TnkpkC+LHDl2QRXG0Bo+QLvaS6P33BMljCc3L6xWv0qUuqKqGKjXMqZPIYd2zVbzx9CzCRctwHX0qStDB7aR3gOny8w5ayx2txbg7L2Hjga4KhULq4XDs+Wrb7d3EkP59myZIUePX5QyVSy/LME1uRLg0qdNJmeOLFLvWrb8DQy35kyAC4kqlObPAENd0dOG3uJbtx/JtRv3lC3eU/wtu/rlj9ZzpleFEr3Tr16/kztGcwf1AhwCICqzojJpu86j7b0+/D0FKEABClCAAh4i4PEBDs6Yj4R5SeYNRU2M54/oPRNtcWXz3/XoN0VmzP7yQT24mhbAcHwUncDiznqVHbXhVQhl2Qs0FAQ+NOP98b/HT1migpNeQ5g7fWiBGpJobQkAzOnBwsuYi2MeFnFMWwGuZdNqMnlsNxXeMD9Lb120mtVLysI5fqr8eoactU16NbAmWOUKRVTYqVGvp6poaN6wL46hNx/LXXPg0Dt4ZM9cq72Q2jVrwywDF22Sg4fPSaD/QJMhlBi6ihL7Hz9+ksoVCsvDR88F85vQzAMcQi/WLcuYPqXN99nRALfv4GlVyXLD5gNqiB+GE2K9Mb2GobA7N05VwbhsVf2KleE5wMEMIW7HhimCcI+GwiwY3mjN1N6/J1iqYP/2LwvDo4e3dKX2gmUAbDW9AGfvPPw9BShAAQpQgAKeKRAmAhzo27b0kvEjO1s8hTETF8ngEfoV/gb1baW+oTZv3fpMshiuGByP1ziABSzcJJhrZ63hQzQ+TGMeTqv2w9VmxvsfPnpeylWzDLHa8bQ1o2wNhcO2XtVKqB4FBEr0jKDSotasBTjMFbp8eoUKHj6dRlnMBzK+p42rxguGi3XvO9nQ+2T8gbVYuTaq502vIWCeP75EDQXDkFEEQa25K8CVLpFXhVwMbUuVuYbV53Xy4HwVZqvU6ipeVUtYBDhtRwzle3Bto+olSZq+ihpOqdcDd/HEUhW20mWvLU+e/qp7Xi3AoarldaP12LAxhvXly5PZUMQEP8ucMaWa34benMKlW+keV3vmBw6flYo1LP++cJzwGOAwhBbr97VoUlX9N54fenrHTVosM+eusagC6sy/H9oag9o+GAJcuWZn+f3Ff0OhMX+xV7fGcuTYRdm644iYBzj8Hl9sxYoVXfr5zXTm9NyWAhSgAAUoQIFQLhBmAhyc27TwUnOwzJteb9Lg/q2le6eGFtvamnsT1M/SOIAVLNlCVbmz1urXKSdzpvcTzJtCeEEz3r+SV2fZf+is7u74sPnbg51q3bJ6TfrJpq3/Ffkw3wHbYk0vDL/CnJ5Fy7YZNrEW4FCtb+u6SapIQ8JUFW1WxdPmhaGnEdUS0fp0b6LmEqEACeYC2mpYuBi9iAissNCauwJcyWK5ZdPqCWrooa3KpE0aVJKNWw6qD/UoVGPeA6ddt7ZG2OZth6Ru437qx3oBDu8q3ll8GEcxEL3m7DpwOMasKb2lkXdF1VuEOW7mc8q0+92z/5TJnCvj84enAIehvviSA8si4G8EDe/98tW7ZPzkxVaH1Bp7YX7pWytrtyF43bm8Tq5evyu5c2YUBGecE+8R/sa1Ly0wtHpJwFDBnFXMsTMPcJh/d+/qeokWNYokS1/V5t9kUP+7xuNRgAIUoAAFKBC8AmEqwIGqVbPqgmpsCCLGzXh4oVZa2/j36NVBSXB3lto2DmA/JCltsyBDrhwZ5ODOL8Mj4yUvpz4AGu+fOE0lq3O9tA/Y2DdT7rqqqqOtpgUB8yGZ1gKcNnwSvVK9BlhfkwrnTJ82uZpv+PjJL6o3CQ3BFAHVuHfR2dfeXQEOlQeP7QtQH9pj/1zCocIQtgLcgtmDpFaNUiYVLfUCHErZY+4dKgki7NsKcFjM/M7dJyaboPhJtixpTHrgsAE+6O/ePE3NJ9Sbb4XeJaw5hkqoXt49dc/rSoBDsZ3ThxeqYaQoha81Z+bAYZ04VFl1pQ0b6CO1vUrZLWKSOFE8KVE0lxQrkkv9vaEwyNc2W0WWUEwJSzx07D5OZk3po54J5kmiB/7+w2eqFxR/ZzMm9RJ8SaBVQtUbQokqvajWi+ULsIwBGwUoQAEKUIACYUMgzAU4PBYEikljulqEuInTvpS+14qCaI8Q4Q0fBOfO3+DWp6oFMCzwjG/JbTV8gMc382haZUVtf4Q5hDprDUMWMXQR94nqkZ8/f7Z5LvRiojcTPUjeTfsbtrUW4FAJFFUNnWm4lriJS6tiD3u3zlDD+0aNX6BK5LvS3BXgtMp+uMZk6auYDGuzdt3WAhyGTz68vkmiRo0syTNUMwRwa0VMsBg4Crkg8CD4mDdH58Bt2X7YZFeEFMzrw2LfLXyGqt4krWkVMzFMr3ZD/TL3rgQ4baHq3ftOSrU63Q3ncybAufKemO9jrQoletkG92uthq0atzdv3qkKrvgbsjbU19p1wQnvj7UAh/mVmPu2at0eWbV2t2AJCi1Uaz3XWuVQVJfEvwkYxoueaL0AVzB/Vtm1aZpaEL1Wg95BwcVjUIACFKAABSgQCgTCZICDa/PGVVW5fPOeOHNzBAl8iEOvhbubFsD+/vuD/Ji0jM3TowgJ5kGhab1oxlUof05R3ur+xr13GOJoXLZdbyetRwyVKjGnTWvWApw2BBLFVbQy8Y5Yrly7W8350ubFTZmxQvoMmu7IrhbbuCvARY4cSS0jgDlPji5RYC3AVatcTJYGDpV9B89I5ZpdDPdkLcBVKl9YVi4aodY5xHqH5s3VAIfjaEM5UYY+d+EmhiI02jWu37RfGjT/sgi5eTMPcAgp6FHF2oK79p4UbSFv42UEUIlz5JD2Mm3WSrVEhtacCXAILljU3JWGHkAsEWAtwOF3+HtDuD57/rq6D/zn3v0ncu/qBvU3hL8lZ9pwPx/p3N5bN8BhWDBCNKqXYj6iWvjdKMDhPPi7hCF+d3TvPDXkWuuNtVbE5Mrp5eo+8QWBvb97Z+6F21KAAhSgAAUoEHICYTbAgRTDh6aM6241xH0Jb+MEBURCohkPgcQ36RgaZa1p26JqIXquMITP0QCHdaqe3/uy4LS9uXbYZvfm6aokf//BM2XitP/mW1kLcLVqlJQFs/1UpbwkaSs7TYneUgx9tRUStIOihDpK86OEekgUMcF1oJcEhVfQa+vIkFtrAW79irGqGqRv1zFqIXetWQtwCI8Pb2xSSzMYl97X9vuaAKcFBAQv46Gz2rVjCB6G4uk1LcChNxVzGzFvTq2T1nm0Wi5CL8BpQwCxpAR6lbTmTIAL7mUEMKz0/oOnJhUgsczFo5ubgzzADRvUVo0M0O5J66HUG9aqLehuPLfXWoDTCjWZz2d1+o+UO1CAAhSgAAUoEGoEwnSAgzKKDUyb0MMixCG8YVFc4w+P7n4qxgGuaZvBhgWq9a6jX8/mgnXcsEZarkKN1SaOBjhse+P8XSh+SwAAIABJREFUKkmcKL7dYYr4th7f2qNHoGb9XiaLblsLcJhbhR4BtOz5G8itO4+sUmJJhJLFc8u16/dk7KQvizr7tq0to4d2kKfPfpMMOevIp0/6QzxjxPhWntzaIggy5r1f7uqBw/VqBXCwxlzDFvq9UsYAegFOW44AxVDS56hlMv/R1jpw2pw59NKYl6n/2gCH5QS865QV/3nrDHP7GtevKKiKaF4lFe9HvtyZpHjRXFK6RB5VcENr+CICwWO6/2r1TM0DHIaOXj61XA0nLF6+rZw6czVUBji9lzi4Ahx69eCC4bHwsxbgsPj5jfOrBX8LWEheG0prLcBpFV537jkhNer1cPc/cTwfBShAAQpQgALBIBDmAxzMMNkfH/C14ZQIb3qLSQeDr81DGgc4fBBDMEPPmnmLHj2aXD+3Sn6I+50YV8l0JsChhws9XRhGlSWPtypxr9e03jAMTStQooXJ9dhaB27ftpmSN3cmQ1U8vWNjGOjJA4GqB8249wqBBR/oMbfIvEfG+DhamMBQzcx56pmcQivYYD7sMzieqaOVKLVz6wW4xfOGSI2qxdWcP8z9M262AhwKb8z3HyR6w02/NsDpWWH5ARQFwpqIWBtRa7On9ZUGdf8btovKijt2HVOFaDDU0Pg9Rq8plsA4duKyqjSqhhH6+aihiUXKtFbBJU/OjGrhd/T85sqRXq2dp62LZ35djbwrqAIfwd0D584Ah161ew+eGpYvsRbgUODEr19r9cUKvmDRmrUAh3/zEA7jfB9TUmSsbnc9ueD4e+ExKUABClCAAhQIWoFwEeBAhgWgRw1pr/R6D5wua9bvDVpJF46mBTAURLh5+5HcuHlfWrYfLpgTp7X48eLKsvnDVJEPVG7MnMdbLf6M5kyAw5C2Y/vmSeaMqeTW7UdSw7uHYUFwHAu/h0/7Nl8qQ2JOFuZmGTdbAS5HtnRyaNdsFZKHjZ4noycsMvkQj/CJtehQWAHDHzGU841RKXX0LqKXEUUimvsME/NCG/nzZlZzglBmvUM3DHs1nbOo9VDi3rCWXHDO90HlRhSUifN9LLW4NRa5ttXMAxzWszt7dJF6zumy17KoHmorwKGX7MH1jfLb739K2my1TKpgagEO88rwPhm3Jg0qCuZC1mnU18LW1rVryxeYz7tDkBzUp5UqkIH/IHxp76Wt46HwBtbIw/uAZSSwH+ZAotLj6AkLZdjoALuVPcNigIML5vThyyU0vQCH9w5LfODfBPO/T1sLeWtzWs2H6rrwTxZ3oQAFKEABClAgFAiEmwAXCqwtLkELYJg7hGC2f/tM+fz5XzWP6PGTXyVLplRSIF9WFRSePf9drROGHgytORPgsE/qVInV2lEIcSgecursVTl/8aYkSvCTCohY1wrXgkIis+autbheWwEOG6MwxdCBbSRSpEgqJJ44fVkNB0ueNIGUK1NAMBcP8+TKVvGVa2YLTWONurnT+0n1KsXVh1gMq0MPDYZTZsqYSn3AR9ObE4SfY74SAiQa7gHnvX7zQbANGxsxuJ0aGmirOqMGaB7g0HM1flRnWbhki/Tsb7nsgq0Ah2NuXjNReZiHR1fWgbP3d6H1bJovbo+groUNe8fQfo9F0BEm4v0Ux2RZAixVMH/2IBXOsVxB87ZDbK6nZhzgGrfyc/T0JtthWDWGV1srYmLtoME1hNL8fHoBDiFvxcLhqgc7X7FmJrvYCnCoqLlo7mBWo3TpTeFOFKAABShAgdAnwAAXgs/EOMDFSVRKVaCbOr675M6ZQYUgNPTOHT52QVr4DDNUBnQ1wGE/DFcbO7yj1K1ZRs2j0Ro+jGPIWvsuo+XchZu6KvYCnBakUKAC4dO4YUhd4KJN4jd8js1hXCiXjrWw8EHZuKFgyYixgWoulrVlEBCUunduKKlTJlbrm2EYqPkH3aB63CmSJ5RLJ78UeMHQ1xu3Hlg9tN4QSjyHKJEjy6vXby3205aMePDwmWTMVdfi96hGieqI6zcdMOnl1AIcjFAt0bjV9iotWMPOmR44fHGgzbcqWbGdnDh12SU+BLbOvt4q4CP4oceuVfvhJj2P6dMmk9VLRgtcMc+zklcXq0V9tADn0sWY7eRqgMPfi62iQ3rXhi8wMEzY1jpw2n7WhlDCD2ENw4iNG3p1zx9fIqgimih1JZPfode2cYOKMn/RZi7oHRQvDY9BAQpQgAIUCGEBBrgQfADmAU67FPREFC6YXf58+Ur1kBkPqQyqy8UHQXzoy5QxpfogeunybZMhjXrncSTAafvhQ2OWzKkkfrwf1JBJBBxn7gNrk2XNnEZ94L9z95HcuffEoSF6QeXjyHEwFw1DCVFpERUXrTVbC3ljH8wNRC/ou7/fKyP0mPTu1kROnr4iJSr4OHIpapuvnQPXrFFl+S52LPnwzz+qwEjtGqUEFSYPHTkv5at3dPg6sCECdOUKhdVyAmVK5lXLLiB4Dx4xV1W51GsI7Vg0HIU37t57IhW9Osujx79YbKoFuE+fPpkUf3HmAhGg8SWJqwHOmXOZb/s1Ac74WAi7cb6PrYYdN21UWfUIX7pyRxX4YaMABShAAQpQIOwKMMCF4LO1FuBC8JJsnhofxNevGKeGKKLHMLy3RAnjyfljiyVSpIiqeqa1Hhl7Ac67dlmZO+O/BdM1135+M2XS9P+WcbDnjZ5PDK1s0nqwCn/GDUNU0eP39t3fVqt8+k/tI6gSatwwl9DLu6ccP+lc71vArAGqlxcNC82vXr9XZgesU19I2Gr48mLzmglqvp7xOmfG+4SGOXDoOU2f/ct8UUfbgN4tBD3MQRXgWjatJpPHdjM5vSPHdvR6uR0FKEABClCAAqFTgAEuBJ+LpwU4bd4Xekey5PUOQbnQc2r0lPXv1Vz1KmGRZb2G4Iv1uPbsP6W7DZZu6NO9qWHX9+8/yM49x2XvgTNWh4sGh0C6NMlUFUhUPUXPJ+ZhHjh0xuZ8NGvXgXAbMLO/rFizS1au2W23d9f4OOi9XTRvsFqHUK8SJXr2BvZpKbv3nZS+g2a4RNGtYwOpWK6gWudw87bDDh8jZoxvZdG8IfLu3d9WFza3djBUw8Ucz+WrdioXWw1FgXCPBw+fNVmL0Xgf9KDj3UN79/cHNTQV1SnxBQsbBShAAQpQgAJhV4ABLgSfrScEOAzTQoGQooWyS71aZdUcHqydh3L/bBSgAAUoQAEKUIACFKCAewUY4NzrbXI2Twhw2jpg2oVfuXZXKtboJL+/0F9HLgQ5eWoKUIACFKAABShAAQqEeQEGuBB8xClTJJIWTaqqOUnWht+F4OWpU2N5gaqVisiLF3+psvwYoqW32HhIXyfPTwEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABdCT7lwwWwyc1JviR07hgwfEyizA9YF6ZW0bl5D+vVsJq9evRWfzqPk8NELQXp8HowCFKAABShAAQpQgAIUcL8AA5z7zdUZL59aLimSJzScfcjIuTJ6wsIguZpeXRvLwD4tDce6e++JZMnrHSTH5kEoQAEKUIACFKAABShAgZATYIALIfv71zbKTz9+b3L2oaPmyajxC77qinp3ayIDercwOcZvv7+U5BmqftVxuTMFKEABClCAAhSgAAUoEPICDHAh9AyaN64iU8f3sDj78DEBMmLsfJeuqm+PptKvZ3OLfTt0GysBCze5dExHdoofL660bFpdsmdNK0mTxJd//vkojx7/IidPX5V5CzbI6zfvTA6TNMnPUsertNpuyswVEitmdOns6y3Fi+SUqFGjyNXr96Rzzwny7t17w374ee0apSRHtrSSI1s6iRIlstx/8EzOX7wpcwLXy1+v3jhyqdyGAhSgAAUoQAEKUIACHi3AABeCj6+DTx0ZNcRXJ8QFyoixgU5dWd8ezdScN/PWe+A0mTpzpVPHcmbjxvUryqQxXVXw0msIVnUb9ZVDR88bfo2gtmXtJBXsUmaqLgd3zpYM6ZKbhrx0VeTFH3+pnyHwLZs/TAVEa+fo1GO8rFq7x5lL57YUoAAFKEABClCAAhTwOAEGuBB+ZO3b1JYxwzpYXMXIcfNl2OgAh66uf6/m0qd7U4tte/afKtP9Vzl0DFc2QhDbtHqCfPPNN7J89U7ZuOWQHDtxUT5//lcyZ0wlvbo1lmKFc8off76SfMWaydNnv6nTGAe4zdsOi3ftsnLi1GXZve+UfPr0SVKlTCzd+0xWAS9t6qSyZ+sMiRsntly/eV8Gj5grp89ek7//fi8Z0qeQLr7eUrFcIdWbV756J3UcNgpQgAIUoAAFKEABCoRVAQa4UPBk27WuJWOHd7S4EhQ1QXETWw3FSlC0xLz16DdFZsxeHax3N3F0F0G1y70HTkuVWl0tzoVhjkf2zJWM6VNI30EzZPKM5SYBTtth/JQlMnCov+61rlg4XCpXKCLHT16SGvV6yqvXby22WzjHT2pWLyknT1+REhV8gvWeeXAKUIACFKAABShAAQqEpAADXEjqG527bUsvGT+ys8XVjJm4SAaPmKN7lYP6tpKeXRpZ/K5bn0kya+7aYL+zgFkDpG7NMrJ91zGpWb+X7vmqVioq+M+FSzcNQzm1HjjscPjoeSlXzTK84nd5cmWU/dtnqeMWK9dG9bzptTSpksj540vkf//7nxqS+etvfwb7vfMEFKAABShAAQpQgAIUCAkBBriQULdyzjYtvGTCKMsQN27yYhk0bLbJXoP7t5bunRpaHKlr70niPy/4wxtO3LBeBfGf2kddA86JsPn8lxd2RY0DXCWvzrL/0Fndffp0byL9e7WQM+euSdGybWwet0rFIqqwCQLhL7/+YfcauAEFKEABClCAAhSgAAU8UYABLpQ9tVbNqguGJkaIEMHkyoyHGQ4Z0Ea6dWxg8nv0PnXpNVFVZHRnw/w9zOND+/fff+XEqSuyc89x1St38fJt3UsxDnCJ01SSP1++1t1uzvR+Ur9OOVm6coe0aj/cnbfFc1GAAhSgAAUoQAEKUCBUCjDAhcLH0rJpNVXZ0TzETZy2VF1tF9/6FuENZffnzt8QIndTMH9WadvCS8qUyiexY8UwXMOz57/L4uXb1Fw842GNWoB7+/ZviZe8nNVr3rt1huTLk1mtjYc18tgoQAEKUIACFKAABSgQ3gUY4ELpG9C8cVWZMq6bRYgzv1z0vHXsPl4CFm4M8TuJFCmiFMibRUoWzyNlS+UzlP3HkMYK1TvJjVsP1DUaV6H8OUV5q9e9cdV4KVU8j0yZsUL6DJoe4vfHC6AABShAAQpQgAIUoEBICzDAhfQTsHF+LPY9ZVx3qyHuS3gbF6yLdH8NT9bMqWXBHD+1FMCdu48la74vPYeOBjj0QmJI6fpN+6VB84E2LwULfEeLFlWdh0VMvuapcV8KUIACFKAABShAgdAswAAXmp+OiDRtWFmmTehhEeIQ3ny7jpX5izeHyB2gt00Ll1jqAMMl9Vr+vJllz5YZ6leZcteV+w+eORzgfNvWltFDO6j14zLkrCOfPn3WPUeMGN/Kk1tbJHLkSJK/eDO5dOVOiJjwpBSgAAUoQAEKUIACFAhuAQa44BYOguM3aVBJpk/saQhxCG/tu4yRBUu2BMHRXT/E0b3zJFuWNIL5d9aKp2gl/nEWhLCHj547HOB++vF7uXxqucSMGV3dr7Ww2rh+RZk5ubfcu/9UMuep5/oNcU8KUIACFKAABShAAQqEcgEGuFD+gLTLw0LVo4a0V/+z98Dpsmb93hC/8r49mkq/ns3VkMWiZVvLo8e/mFxTxIgRZd6M/lLbq5S8+OMvSZquivq9o0Mosa12jjdv3klzn2GyZfthk3Ogh2/d8rGqeEqHbhhOGvJzAUP8wfACKEABClCAAhSgAAXCrAADXJh9tMF/YxhGuXPjVFUp8sOHf9TSAXfvP1FDHRP8/KOUKZlP4seLqy6kcSs/Q+h0JsB9+21UmTu9n1SvUlwt1H3qzFU5e/66OkemjKmkRNFc6vjLV++UFj7Dgv+meQYKUIACFKAABShAAQqEoAADXAjih4VTx/k+lnTt2EDaNK8hmItm3s5duCFYiHz9pgOGXzkT4LSdfFrVlL49mkncOLFNToHevxFjA1Uhl8+f9efIhQVn3gMFKEABClCAAhSgAAUgwADH9yBIBBDeUqdMLEkSxxf0mqGoyeMnv6qiJUHZEieKJ1kzp1HzAe/cfSR37j2Rjx8/BeUpeCwKUIACFKAABShAAQqEWgEGuFD7aHhhFKAABShAAQpQgAIUoAAFTAUY4PhGUIACFKAABShAAQpQgAIU8BABBjgPeVC8TApQgAIUoAAFKEABClCAAgxwfAcoQAEKUIACFKAABShAAQp4iAADnIc8KF4mBShAAQpQgAIUoAAFKEABBji+AxSgAAUoQAEKUIACFKAABTxEgAHOQx4UL5MCFKAABShAAQpQgAIUoAADHN8BClCAAhSgAAUoQAEKUIACHiLAAOchD4qXSQEKUIACFKAABShAAQpQgAGO7wAFKEABClCAAhSgAAUoQAEPEWCA85AHxcukAAUoQAEKUIACFKAABSjAAMd3gAIUoAAFKEABClCAAhSggIcIMMB5yIPiZVKAAhSgAAUoQAEKUIACFGCA4ztAAQpQgAIUoAAFKEABClDAQwQY4DzkQfEyKUABClCAAhSgAAUoQAEKMMDxHaAABShAAQpQgAIUoAAFKOAhAgxwHvKgeJkUoAAFKEABClCAAhSgAAUY4PgOUIACFKAABShAAQpQgAIU8BABBjgPeVC8TApQgAIUoAAFKEABClCAAgxwfAcoQAEKUIACFKAABShAAQp4iAADnIc8KF4mBShAAQpQgAIUoAAFKEABBji+AxSgAAUoQAEKUIACFKAABTxEgAHOQx4UL5MCFKAABShAAQpQgAIUoAADHN8BClCAAhSgAAUoQAEKUIACHiLAAOchD4qXSQEKUIACFKAABShAAQpQgAGO7wAFKEABClCAAhSgAAUoQAEPEWCA85AHxcukAAUoQAEKUIACFKAABSjAAMd3gAIUoAAFKEABClCAAhSggIcIMMB5yIPiZVKAAhSgAAUoQAEKUIACFGCA4ztAAQpQgAIUoAAFKEABClDAQwQY4DzkQfEyKUABClCAAhSgAAUoQAEKMMDxHaAABShAAQpQgAIUoAAFKOAhAgxwHvKgeJkUoAAFKEABClCAAhSgAAUY4PgOUIACFKAABShAAQpQgAIU8BABBjgPeVC8TApQgAIUoAAFKEABClCAAgxwfAcoQAEKUIACFKAABShAAQp4iAADnIc8KF4mBShAAQpQgAIUoAAFKEABBji+AxSgAAUoQAEKUIACFKAABTxEgAHOQx4UL5MCFKAABShAAQpQgAIUoAADHN8BClCAAhSgAAUoQAEKUIACHiLAAOchD4qXSQEKUIACFKAABShAAQpQgAGO7wAFKEABClCAAhSgAAUoQAEPEWCA85AHxcukAAUoQAEKUIACFKAABSjAAMd3gAIUCDaBaNGiSJJE8eXtu/fy9NlvVs/zzTffyL///uvwdUSIEEH+97//Obw9N6RAcAnwXQwu2a87bsIEP0mM6NHk0ZNf5P37f77uYNybAhSgQCgTYIALZQ+El0OBsCQwaUxXadWsuvTzmymTpi/TvbXIkSPJuaOL5f2Hf6R2w95y7/5TmwQVyhaQQP9BsmL1TunUY4JHcWXLkkYa168ofQbNkH/++Wjz2mPG+FZOHVogJ05dkVa+w+Xjx08O32uUKJHl8O458vDRc/Fu2t/qvtGjR5MT+wPl4ePnUqVWN6dCtN7FjB7qKwg0E6Yulee/vDDZ5OzRRRLvp7hSvHwbuX3nsaRKmVjKlsonM+escfi+QtOGyZMlkOGDfCRXjgxSqFRLefHHX0F6eREjRpSDO/1l265jMnHqUnn79m/d40eIIDJjUm/JmD6F+HYdI5eu3AnS6/DUg3Xx9ZZhg3xk7KTF4jd8tqfeBq+bAhSggK4AAxxfDApQIFgEsmRKJUf2zFW9b2mz1pTXb97pnsenVU0ZN6KTXL1+T/IUaWL3WnZvni4F8mWRPgOny5SZK+xuH1o2QKg6d3SRJE+WUMZNXiyDhtn+UNmyaTWZPLabbNxyUIUwZ1qhAtlk58apcu7CDSlcupXVXSuULSirl4ySE6cuS8mK7Zw5hcW2cePElpsX1si330aVEhV85OTpKybbXD+3SpIkji95izaVK9fuytG98wSBdsbs1dKj3xSb547zfSwpkC+r3es7c+6aZMmUWtq08LK7rbbBjt3HZO78DQ5vr22ILx7wfmfKkFLWbtgnjVoOcvoYtnaoUrGILF8wXH759Q9Jn6O2IfAjOD5+8qt8+vRZ7Y7AvHfrDMmTK6OUqeIrx05ccuo68AwqVyji1D7WNt6644h652y1NKmTyILZfi6f7+PHj1KsXFu7+8eOFUNuXFgtEUQkY6668sefr+zuww0oQAEKeIoAA5ynPCleJwU8TGD7+ilSpFB2mThtqfQfPEv36tHLdPn0Cvnpx+/l/fsP8vqNfi8Ddk6T1Uty58wgCHCOtNETFsqQkXMd2dRt2xQtlEO2rpukerpKVGgnCBzW2vH9gYIQXLx8Wzl15qpT19i7WxMZ0LuFjBw3X4aNDrC674RRnVXYGTV+gQwdNc+pc5hv3L1TQxncv7XVMHjxxFLV61awZAu5cOmWpE6VWDavnqhC3fLVO6Vlu+FWh8UisDvy3Os06ivx48WRqeN7OHwvA4f6y/gpSxze3njDHNnSyf7tMyVSpEhSo14P2bnnhEvHMd8JoWzT6glSomguGTY6UEaOC1SbpEyRSC6dXKZ6N1NlrqF+9rUBrnH9CjJzcp+vvm6MaO7UY7zMW2A7DGfNnFqO7bP+Ttq7EPw78UOSMvY2U8Ft6KC20sW3Pnvh7GpxAwpQwNMEGOA87YnxekOdAHpW7A2HCw0XnTd3JvWNPsJS6cq+6oN2cDV8sMUQPrjg2+9nz3+3OBU+eC5fMEx9+//7i5fy55+vJWGCHyVGjG8N/9t4p2Ll2sjuLdPVUDH01r18+VpSp0oi8X6KI0+e/ioPHj43OcfSldslcNHm4LpFl487fmQnaduyply/eV8KlGih++6ULJZbfYA/fPS8lKvW0elzbV4zUX341+sJMz4YwgBCQflqHeXQ0fNOn0fbIVKkiHLt7ErBvCP0FqLX0LydPrxQMqRLLkXKtJaz56+rXydKGE+2rp2oniM++HfsPl73GtKkSiJ9ezQz/K5S+ULqPUHPl9YThV+iRxbDRpMm+dnuvfTq2ljQy9WwxUBZt3G/3e2tbTCobyvp2aWR3d5OZ06QPm1yOXNkofpSI0POOvLrb3+q3Zs3rixTx/eUzdsOSd3G/dTPgirAYejlspU7nLlMw7Ze1YpLrhwZHQpw2jU7e6If4n4nD65vVCaOBDgcH+/jldPL5cOHf9gL5yw4t6cABUK1AANcqH48vLjQLIDeIHxwe/rsd+ncM3TPxartVUr8p/SRqFGjKNJSldrJ8ZPBF+BmTu6t5notWrZV2nYcpfsYRw3xlQ4+ddQQMQzzQ5GTyhUKy4qFI1S4wbwi4+IDMyb1kiZUynPAAAAgAElEQVQNKsnFy7elaNnWal4XemZ2bZqm9s1duIm8ev02NL8y6tq0eWcITnq9k/hAjqF5GNrm5d1Tduw+7tA9IURh3lTkSBHl3tUN8uGfj5I2W035/Pm/4jAI1FrxF603592795IoTaWv+hKijldpCfQfKHfvPZGs+err9qQh0CPYm797yZImkAM7/NUXC7Ub9hEMw7PVYsWMLk9ub1GBPUteb4ds9DZCT2ixwjkNPYLG2+BLmcSJ4jl07KhRIsuGleNUGG3fZYwcPHLOof0wDFLvix/MaRs/8kvP6MKlW8Sn0+j/D2oigbMGSa0apaT/4P/mlAZVgFuzfq80buX80EZcL3o8mzas4nCAcwjIbCMM0X10c7NTAQ7Xhn+LGnlXZC+cK+jchwIUCLUCDHCh9tGE7gsrXDCbzJzUW2LHjiHDxwTK7IB1QXrBrZvXkH49m8mrV2/Fp/MoOXz0QpAePygONn1iT2nasLIELNwoHbqNC4pDBvkxypXOL5hjVqZkPhV4MG8nuAMc5p7cvbJezYXS5juZ3xgKP2DoGcJFRa/OcvT4RcMmAbMGSN2aZWRO4HpDMM6eNa0c2jVbfeBF2Lt2475he61Ha8n/sXcWYFJVbRx/FZUQRAWlG5EUJKS7u5ula4mlGxZ2WXKJhSWWXrq7u7u7G0H9RFEQUFG/53/Wu07cmbkzOxvD/t/n+Z4PmRvn/s6d4fzPW8u3SfsuI93OMCIXhKiK969oNr0OctR8OjVU350LF2+a3QILdLxbN249kBLl21uJIRR7MfU6aScjlw05bfYMIYabtx1Sh3TpWF/GDO9q6PFOnbliN+8IxTYwpz36TbT5W6AJploNe8vOPSfM7gvvcJWKRWTYiFkOx1OlYlFZuWiUw+8d3ouc2TOpgjGax8/04rcurpEUyZNK8gyVrPIz8+bJqt63yDRTT6TpffD9uXFhtSC8uHDp1uFFSSDUbl9aqzzOZat2Dvege6KAwyYGvKrOWOKPEsrWdZOcEnC4Pt6B4/vnyfPnv0mW3PU8YpPHGS48lgRIIHYSoICLnfMe4ae+dHKZZEifMvw6yDVCzpE7DKFNvgPahl8Ku/oR2Wl3x5j0rhHTBdyKhSOlaqViauhgCCG8fX2w+u/I9MDhnrj3w0ffq+ILtgzemEwZU8mqtXvMDkHBCnhzNm87rEScZvB4ZkyfSlas2WV2PELpEBq6Z99JmTRteYQrKbrzfUEFTlTidKd16j5G5i/ebHVJTcAhPwohY6aWNMnHKuRQE3AQ1wifhICBB85WS4Y4cd6VePHiqhw85OLpWY2qJWRpaIAqEgGP36tXv+sehzkyErIIDxs8YLaqOgaO8JFO7eupoiEIobRlWngofjvw/psaxNH397bL/358Jumz1bC6RM7sGWXFwlFmf58q5Wcq1w3hunoCWm8cYJfs80/VxoNlGHEDrwFy6cods9OQtzVscHtBPuG+g6elap0e4Z8j/BRhqDDMr+mcwbMOIYf76LXj2LD5kLTq6KeLSsuBi0oPnNGcRr0BOxNCifPB5drZFcpDirBTbQPDnd9JXosESIAEopoABVxUE39L7nfv6gYV8mRqKIKAYggRMa34guk1bC2yInIfd5wb0wUcij6gCAY8U/BsYCHz+PYW9eiRKeC0BfaiZVulQ1fzRbAldyyksRh3p61ev1du33nkzku6fK1mjSqL/5AOds/HvMCrAkOuk6P+dv2HTLESsThXE3CVa3WzCuPTvJqagOvTvZkMG2S74Ig2YC2XERUlkU9naVgUw7sB0e2okmXI5LBQtl4DguTAobOSLm1yQfhkujQp1J+Rt4YKnbjWgiVbxLubfugtWitAzKTLWsOmyEP/wf/d36FCcD9PX9GK6de5s8ihXbMdjtn0ebXxd/QZJQuXbjX0Tgwb1E76dPdSrRJ6D5zk8Bx4ZretmyTvvPuuDPWfIeODw4qrIBRw5LDOymuL98PyHUEfRZjeZ/j7dRv326ySGR0CDpU0u3Ro4JCH6QEQqa2bV3faAwd2M4IHStOGlSR4+grp7zvFqfvyYBIgARKIiQQo4GLirHjAmPAPqV6ltxFj58rIwFCXnmBgn5YyqG9rq3O79gqUuQs2unRNIydhh7xty1qCML20aZKpXWx4j06cuqIKK5iWv0foaKECudRla1YrIQi1QiXBDZsPht9q/uJNamff1HCPWtVLSd48X6oy5/CSoBIfzt20NSykzdIa16+gdo03bjko12/eVzlRKG5RrEgeJZ5Rrvv02WtqMa/XqBb90g4fvRAeMoQQpKgQcFjQI2wJ4YwQj/YMHiCEsrnT6jXtL1t3HHHnJSP1WhAbTx+GeRWTpCnnctNhowLu6PELcunUMkGoHsL47JV9h9cT+Wl64gyiAWIDogOmHYOwUSXG0qZQggyL9QzpUqp8Rcy3I8N3B0U6uvQMtDoU3yOE5yIPEuGFtgzfFbQpQOgkntHStJy9pStR/TLA0ZDU51r1RORn5iva3OE58CKirULSJInl68LN5Obth3bPwffz2L65ih1a1Pv6hciEKUvUOXjuy6eWS9y476vnOXfhRvi13BVCCc/Wz8+eO3wuvQMw9vjx48W4HDhtrJpIxW8uqqDSSIAESMDTCVDAefoMRuP4UYAChSgsDXk9IwPDyl4bNVSYQ86bpWG3FLumkWUotIEQN624h+V9fvn1hTT0GhheoU/bUbc3nkKlWpk108XCdeFsP5uLVwg0LCJfWDTqRXGOIoW+UjvnWKSFzvAVbafd9P5YgMOzgkIe9iwqBBw4Pn24U403bxEvJTztGUL5alUr6XB68X6g6AZ6pyGETc/gvUU1Q08TcB8nTijf3tqiQt8SpyjjcgioUQFXvEgeVTwmdNEmVXTDniE3be/W6aq3WLlqnc0OtfzOagJu7bJA1aDbliFkE/l9qBZ57/4TuffgiTx4+ET9+f7D71RIpy2DR3NG8ACZMWeNDBk+w+ww5HhqRUGQQwmvoy1PHjaKsGHk7IbT9vWT1QaKkXcMGzCzpw2W3ftOSo36vexyhpcIxzaqV0EdZyrg8NmIYZ2kW6dGohfm6C4B9+bNG5c3D7AJESfOezFWwKFyLTy3+I6hgqUnVA12+KPIA0iABGI1AQq4WD39EX/4zh3qy9gA60IIjvpPmd55cL/WMqB3S6vB9B0cLFNnrIz4IG1coVTxvKpUO0QR+lDBiwbvBAprwIPUr1dzVaUOuT0FS7ZSAgketzxffaGu2KRBJeVVOHz0vDpfM5Qk13ayUXBhybzhqnjI+k37JThkhVy5elcSJ06oPH7om5Ulc1pVlAOVFU0Xr5qAgxcLHgMskAODFgkKSiRIEF/1RPMf3EHQGBeVHFFmH55DWxYVAg4ewxvnV6khpMpcRZ798sIt87dvW4hqVGyrKApuojX4NrK4dsug3HQRbXGJOcyYo5bLVzUq4KpXKSbIW8tdsImVp9jy5oW+ySm7N09TRWbQJFozeN22rg1SVS9XrN4lDeqGvZ9oBo53GnmQ9+4/lvsPwgQaxBnCeSGcXM+1ekctwhE+qWcopIQiKjBto6XfkGCZEmL9GzJ/Zlg1xzbew2XZqp2GmWvNtS156F1Ae2eNVNZEldjQGUNVoSFwLFokT7gHDuG18L598MF7qtKqpSfPXQLO9XlxXIUSY0ROIXIqXTX8hiICASLMsggOQkfxvbcVfowWBA+ub1Sfo5CJo80uV8fI80iABEggqghQwEUV6bf4PshhQt6TpRlppIxiJShaYml9Bk2WaTPDhEBk2cQxPQTVLvfsPyXV61kXmkAIFMq5Y4E9cOg0mTRtmdlQHOXAwRt17ugiFRI1btIi5T2yNNwDCz2EfA3wnar6WGmmCTj8N0qrN23ta7VzjNLaG1aOV+XZ7ZXsxzWiQsBBlIIZdvPhTXKXRVTAYdFvtCy8q2N+8PB7hx5HvWuXL/ONrFs+ToXFoXWCq2ZUwO09cEpVJcWGAryaeC9shVFCqO3YEKw2KSrUCNuowYbH1TPLJXWqZKqKJsIUVy8Z4zCfTLuWq8+piRyMAe0itDxHFD2B59VUwGkFfPC9xvfb0tBIGiGRzjZJx7NfOrlU5e7Z67Gn5Q5CwObI38huXiN+A+5eWSeJP0okPr0DJU3q5NKnh1e4gIMXdPfmqbJgyVbp3COspYCpeYqAe/Z4tyoCExkGYfZR8tI2vddghPtjwwHfMYRS0kiABEjAkwlQwHny7MWgsXdsW0f1LrK0sRMXit9I/dLgWgNcy3NQ5CBktnvzovRQaYUdtu08KnWb9NOlCU8F/nf+4g2rUE5HAq6XT1NVwAILzfzFW9gM2ylYIKfs2TJNValD02stvEcTcBBDOQs0tuldg5cQJdr/+usvyVvUS27d1i/gERUCrlzpb1RPLOT4ZcpZ29AbCkYQ0vbswwTxlHCAh/Kvv//ra2Z6ToL4cdUCTc8DFzy+t7Rubl1t0NAADR5ktFCF5eXQ2w497pC3h7G7apqACwxaKNdM2izgeuCL98y0jQAqLSK/7dfnL1VrBr3Q1BJFv1al2/cfOiNVav/3/T62b55cvnpb2ngHSKXyhQ0JOAjo6+dWqZxSlO53xjD3aGwNbzUMvfHQIw8GT/rmNUFmAu7C8SWSKWNqVXEQz2dpdWqUUmHTCF/WQpeRa2urgqbp+T7eDWWUf2dBYReIWnjNLA2CFlzQr23ilKV2HxXi4sSBUNm7/7T0HTxZ8LtoKuBwco8ujWXl2t2C3nGW5gkCDmM2kv+I47JmSSdoRH/r9kOpVKubLjs8c5JPP5Ifn/4S/rlllU/TE3E8cm1VLnLDPrJrr3kbC2feRR5LAiRAAjGBAAVcTJiFt2QMaDw7YbS1iNPzPiHMCqWyLa1n/yCV3xIVpuXT4F64J8QmhIdRcyTg4LmA1yFo6lIZNGy63cuiQS28aRVrdg3veacJOCxCsfC2Z1pbB5/e41XhFT2LCgGHECeEpTpTOVTjhFBVy/L32nOgDD5CqHBdCFp7hsqXyDsyNYT6YkEdmQYxoPVD1EqXG7lfwoQJ5OPEiZQ4/enn/xakjs7N+nUDM8+Os33gcH2tsiI8cMhxsyyGo82nZR4XQoOxCMZmg1EBByZP7mwVeMwQKoqQUaOm5ZNh/lHAx56A0ypQ6uWL2rsfqlX+ZpGHqnc83kN8NxHSq5djp/0OIv8T3h4johD9GhEWiPBAPQFnb9yeIuC0Z6hZraRkyZRGAict0n0srW+bvWIxyF9s5VVd/S7aK8Kj3QCM7l1dLwilhFd274HTRl89HkcCJEACMZIABVyMnBbPHRT6XiE0Ef9gmtr4yYvF99+iA/C4wDtlagiBQf6Kad+vqKCA/D0s7mFYPB0/eVl27D4m8Mqh0p09cyTg7l5Zr8rDh8xeLUdPXLR7LeQAZs2SXpVOx6IQpgk4U3a2LrJm6VjBIhBhngj31LOoEHBapT6wREiTo5L4eE++u7NVIGLyFGpqs1KfkRDKqHhfjN4D4uH59/uMHu7ScYmSlTILGdMEHBrL375j3vcMOWoI0zX1wOGm8ELt2jRF5XYijxMeNVPDO4V3y1QwWQ7WqIDDefDmwasHbx68ekbt7NFFkjljatWWYtbUQXYFHEIS832d1eilZV6Ir6RJnUw+TV3O5gaC5cXgTUKoMDw6puHeObJlFDQ1x/wjJ9XRb4jeIPUEHLzstgw/teNHd5cvv0ivPHiXLXrLaedhc+Di5dtWl9EqNCJMW8shNAwPLQ5EZLivt8op7NbH9gYSromNGHhS8f94p9p1HmHVCsKRgGvasKLMnDJIzVXD5gOt8uH0xg7PPEIo8XuDIlOW/feceV4eSwIkQAIxgQAFXEyYhbdsDG1b1lSVHS1F3MR/S2L36NLE7ImxyO/ed4LMDtX3HEU2HlR67NimjpQvW1CVVtcMITnoZYZcPPTnsjR7Ag5ehu/u2i+hr/dcpiGnmoDDokrz7NhigZYOaO0AL1CjFoN0D4sKAWfaFiBd1upmIU56g/ryi3Ry5shC5Y2xV8DD0wQcnhUeVUeWLWsGlWMGTxZC8VCCH14bI94peCxNzWgOnGUjY4Q2QoxgUW1Z1AOetpWLRqkcTBTj0DNnBNyQ/m0E1UKNeKVN74VNIfCBOD19eKHDEEpH3E0/P39sscqhw4YDwpCNGrzrW9ZMVL9zqDJ59MQlObRrlsqZtVU8xci1LQUcxMev39luWG7kmjjGVqi4JuCMXsfWcf/8Iw4FHM5Fz78Fs4ZJ/rzZVZhkjQa9VbEbzbQw7Ge/PFehvXfvPQ7/rHaNkjIvBFV5RVq091P97YyY1n4C/9ZkzlXHqUgLI9fnMSRAAiQQ1QQo4KKaeCy5H/KNJo/rZSXiLB8f/6Ai7A8Ls+g2LJ4Lf5NLypQqoMqgoyAHDItpNEe2LIlvT8BhB/6nR7tU2N+UkBWqyqQRQ4U5FIyAaQJuiH+ITAgO6wdly7R8viUrtqtdbT2LCgGH50UbASw6Ldsp6I1JC41DUYFJU82LxJgej0qlKLgBL65eHpDlteHdcSYc1sjcRMYxc6aHlY6fHbpOVS5F02f8uVufCU7fzlUBhxshz3NpaIBg0YxKh1o+EcLdUEV13cZ9qoiOnjkj4OChQr4XFu65C5l74e09MDZWkPuYJtXnbhdwl08tU/3qPvyshNPMtQJOENP7DpyWOjVLy47dx6V2oz5OX0s7wVLA4bdk4exhdq9XolhetWFw4PBZ+ekn/TDcc+dv6IYtagIOv3OXrlh76Iw8CIoEpUj+mSEBh+u9/34cmTyuj6CNCypCorcdvq+N65dXf58gQTx124ePvpMKNXzkh//9pFrWIMLjjz/eSJeeYx32mDQdt1ZU5s8//5QkaSo4JdSNPD+PIQESIIGoJkABF9XEY9H94BGaPK63TREXJt7GRWqT7ojgRjjg/FnDVOEEFCL5qqC559BRCCXCvnCuq0VZNAEHcdu11zi7j6IdO3z0HBk9fn60CTjcWPOWwavqKCQW1UuxCHa3VavbI8bnuaDBNYptvHnzlypS8/LlK7lyZoWgYMs3JVo5XdEyIgIO/BGa2KRBRTEN2TXS8NoZAYf7oBUAvFT5inrJtRv2+wRavhcocOHIA4dwUCOGDRnkvN28sFrlIH6WLqwHm7OmiXCcB099wZItdT32Rq/7tufAaRy0/nbvxXlPBvtPkzHDu6piOyhygwgG9OCEdxOCFIVmEFqJ0Md2nQOcDk3VimwdO3FRylY172dodF54HAmQAAnEJAIUcDFpNt7CsbRsVk2mTOhjJeIg3rr0DFTNhKPD4G3TxKX/qNnhHgfLsWh9sPD3OfI3VP2sNHMk4LRS5ivX7JaWHfxsPiYaOQeO7KZ6JI0KDA3PA9NEGRaa+Yo2t5lPBu/EjQur1aIHTb/XrNcPt4oKDxweUitQg354zdroe200GMixQjl6PStWOLfqL4bCFa9f/67ylCBOHz/50SZLVOvLkD6lWTGY6Hi/jNxz8Vx/qVW9lMqR7DVgkjpFq1yKJtfou2bE26jdK6ICDu9H4wYVZMacteHvGjwk0yf1V5ssqNKoZ84KOLQNQfsQW21GMmdKLXlzZ5UVa3ZZ3c6RgOs9cLLhcMOyVTvJsROXVGEVCDmE1jlr+O4FBfYUNA6HoWDJkOEhgoqkrlpsEXAaH4TwLprjr4rCwIuJMHJU1UURE+RkIgcTIZAopIMqrc424YYIXDTHT33XxkxYKP6j9KsiuzpfPI8ESIAEooMABVx0UI9l90SZdIgdLScO4q1zj7Eyf/HmaCVxZM8cVdjBnqfoi0xp5NyxxWqc2fI2ECysNdPyzvQq0eEYhGGuXRaownXQCNxWGKUmBBG29mWe+uHhPaZ94Ow1HO7ZtYkM9+2oQpHQc8rWAieqBJwrlSgtXwSEos2eOkgJCZQSh6fOUSNvXOPgzpmqIEexcm3l7Pkb0fp+2bu51oMQC/6cBRqZhXuiqAaE65273yoRZzQUNKICTm+88IhgrMgDRbEOdwg4zfOIZ8/1TWMrbxXmfuFsPxk2YqZqXG9qjgQcqthi48SIDfYLkRu3HijBd/3mA8lfzLofpb3roLDIzCkD1AbEo2+/lwOHzykPJgxVDlFwRa81g6OxxSYBV7VSUZk6sZ+qLIp2CwiRhnf2+P55SsBh4wobMhtWjFch1HPmb5SBQ6eEt35wxBKfswKlEUo8hgRIwNMIUMB52ox56Hjr1iojo/3DQlf6+06V1ev2RPuToBT1oL6t1QKyRIX2Vn3WkMc1Z9pgQQPhpz/9Imm/rG42ZpyLa9y89VBVnEPIj6WhAAQKQUC8ebXxtRJxps2JUcHNtJCLJuCQlwLvk1eboVbl8Vt5VZMJo3sIKu9Znm85lqgScKhsePvSWvnk40SqT5aW02dkwrGQCxzRTTFHKFWLdsNUwQqjRUy0/l+WYtvIvaPiGHhbIdjhDUBRDhScQXEJU0MeIbwOEMIPH32vNjss2yLojVUTcMi5vHHrodkhLZpWkXxfZ7OqQunomdHqAx7VkYGhMmLsXN3DnfXA4SLIZ+rq3UC1vEAOrKlpHrrm7YZZ/U5oAg7NuZu3HapOK1YkjyybP8KsD5yj59I+T5niMxVCeejIOalY08fQaWhTMHxIR/FuV1eJA/yWIcQZ339s2sBjmTxZEvXfvQdMEuSlOmOxQcDlzplZRvh1ltIl8smLFy+lY7fRAo89TK8KJar54juBXDYUPPHuNsZwFVO8H9vXT1YbIeizaatViTNzxGNJgARIILoJUMBF9wzw/tFGAGGUqACIBsf4Rx0L6Tv3vlU5SaimWL5MQRW6A9NbTMLTA48PDF4vLBCQ02NawADhQSsXjRbk0yEMELv0V67dkQTx40n+vNmUtwimt5DVBNzQgJmq3Hu/nl7q/NNnr6qCBThXK7SC83v0C2vmbcuiSsDh/iP9Okm3To3sVi80HWfSJImlc4cG0qFNbcE4sfveqPmg8HBSIwIOi+Yb51fJ33//I0nSlI9xhQpQEGRsQBflsYH3qU2nAFm/Sb+KXsIP40vozKFSuUIRhQle3v5DpuhuEmgcXekD5+jLp3mZ7eVxuiLgPvwwvpw9slAJnap1esjBI+fCh6I9BxbbptUJcYAm4PTGjUqtzpbBh4BA02hEA3TqPsYRDtU0fMKYHoLqqdhg6NU/yKqYBnqNoXE85huGqp8BY+YaztuKTgGHyo7OGnLZ8J60aFrNYRETzDeer1mjSqrVAn7L4Kk0jU6w1UYgUcL4MiN4oOIKz/y6TftVyPnlq3dsDhkCGx7ZyhWKyoChUyR4+gpnH4/HkwAJkECMJEABFyOnhYOKKgLwEvX0aSodWtcWLCotDU1i0YjcVrlqFHno3b2Z6lEFkQVvGcIlTQ0elaED20qH1nXCq6tpnyNMDr2btu4w98Lgc1MBp5qhD2ynqrZhEaTZj0+fyYix8xy2GcDxUSngEPZ08cRSNUyEQVlW8NTGD/GMxVzj+hUlfvy4SkhPmbFS5UeZNlW2FHBgMKhvKyWcUZUubtz3pULZQircCh4/eP5igmGRChEGT60mtq9cu6u8R0Yqk6Ip9Mhh3hIvXlzlKUbDeVSp/PGpdaXB//rAbZS798z7wNWvU05tIlj2gbPHCN+N6+dWqe9FmSqd5PjJS7qHuyLgcCGtwiWEEKq84rsG4Xrr0lpVuAICztI0AYeqj1rFRBQgwbM5K+DwfUV1x6qVislgv+kqhE/PsAnTrFFl9T+8X7ATpy5Lq47+Zjmxluc2bVhJxo3qFt6aBF5DVFpFA3R7Fl0CLqLfF3ttBPDdRn5q986N1fv008/PxW/kTJkzf4NVbm+uHJnk2L7/Qigtx1W2ZH4ZM8JHUPkSQm7Nhn0yKnCe7vcJvTVPHZqvKgkjVNlIU/WIcuD5JEACJBAVBCjgooIy7xHjCWBRARGGUEUsNpCPhgISpkVLIvoQ2A3GPXJkzyjPn79U3jp7OTKWAk67f87sGSVTxjRy7sINKw9FRMfozvNDZwxVoZB63g0IMIQ1of8WDAsxeKMG+U3XZW4p4CCMHt3cpESpqYEnQuFMe0e585mMXgvvEbyJaBEAby4MomNi8BKZOnOVU2FcyAmaOWWgCh+DQeQuX71LJk9bZrZojWgOHMJxE3+USH7/4w815vq1y0raNMnl4OFzUqmW7fBCVwUcnkUL0YR3GgvxBPHjqvDSgDFzZNQ462qqjnLgbHngEMKNKp9YwOPdQz4VhJsmqvMW8TLbZIC4q1G1uHg1rqLC/PC+wc6cu6bCnBct22bIwwtvXMe2ddW7gD/DIDwh5FCkBd5+S4suAffmzRt5/foPo6+42XEIK40T5z2bHjiERl87u1Jtci1culWG+E8324SAcP/t5Wv1O9C6eTUJHt9Xjhy7oHJA9Qzh7e1b11Ih8NhoQFuKPIWbmYlBeAaRX9e8SVV631yaVZ5EAiQQkwlQwMXk2eHYYjUBWwLOU6CkSvm5nDu6SDWnRk6aZTEOFKpA8/RFS7dKyJzVcuv2I5uPphdCCe8dFsXwcGKxhkXclWv35O+//452RBAIJw+EKs8ZwgARAolCIL8+/83lsSGXsn+v5iqXDYbG2miwrdm0oH5KbCAMDh4iU8OmxAfvvy+/vXylKxpw7IzgAcrLZGrI46rTuK+q1mjLIiLgcE20G5kU2CtcJMFbUqRMG93iLeC6efVElf/U0We0GhLyo4oX/Vru3H1ks3ANigkhP83SIKoH+E6VRcu2mn2k5eHhL5GjBbEFbxE2TVwx8IeQ8PFuoHrOwabNXC19BoVVHzW16BJwyOVDqLizpoVQtmxW3W4IJSqsHj523updwsbWtbMrVGjxy5evw6MU/EbOlrETF9gdDr7/vgPayO59p2TD5gNmx2IT4srp5WrjhN43Z2eVx5MACcR0AhRwMX2GOL5YS8DTBRwmrn+vFoIm3Ogthlw+U8POOTwQCPPJfK4AACAASURBVKFzZKjMCM9l45aDVU8+T7DaNUrJ06e/qObK7rRypb+RIoW+ErS/cKchr6twwVxqAY1FNTzQ+w+elme/WBfnMb1v8SJ5VGEWiBtXBACuhWIi1asUlwzpUqp8UDS0d6eVLVVAUPEQHiB4MOFZv//wOzl89JxuOCo8Sihtj9Dm5at2OFX10N644cmrU7OUEnOtOvir4kiWhuIorbyqy9QZKw1V6n1HRPx9Owoq5uI7Zitc2da4qlUupto67NxzXAYNm+4SdoizyhWLSNCUpbJp6yGnrgEBiB5wpUrkU+chLBp5g2hnAfHlioHJsMHtpWfXpjJw2FTmvrkCkeeQAAnEaAIUcDF6eji42EzgbRBwsXn++OwkQAIkQAIkQAIkEBkEKOAigyqvSQJuIEAB5waIvAQJkAAJkAAJkAAJvGUEKODesgnl47w9BNq1qiVoerxj13HDPY/enqfnk5AACZAACZAACZAACegRoIDje0ECJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DsZJAxgypZNaUgZI/bzaJEydOhBi8+O2VrFyzS3oNmCR//PFnhK7Fk0mABEiABEiABEiABEjAHgEKOL4fsZLAlrVBUrJYXrc++/pN+6Vpa1/5559/3HpdXowESIAESIAESIAESIAENAIUcHwXYiWBpw93Srx4cd3+7HPmrxef3uPdfl1ekARIgARIgARIgARIgARAgAKO70GsJPDrd3sjHDppC9zIwFAZMXZurOTKhyYBEiABEiABEiABEohcAhRwkcuXV4+hBCJTwOGRu/edILPmrYuhT89hkcDbTyBevA8kTapk8tvL1/L4yf9sPvC7774rf//9t2Eg77zzDsOkDdOKXQd66ruRMsVn8mGCePLw2+/l9es/Ytek8WlJwEMJUMB56MRx2BEjENkCDgtCr7ZDZd3G/REbKM92G4HqVYrL8CEdZdO2gzLYL0RdN3myJJIzeya5ceuBPHj4ndvuxQtFL4F33hGZOKantG1ZSwb7TZegqUt1B/TBB+/LmcML5dXr36WB1wC5e++x3YFXqVhY5oYMlWUrt0v3vhOj9yGdvHvuXF+IV+MqMnDYNIfFlhIlTCAnDoTKsROXpX3XEfLnn2+cuhv4j/bvIhA0E4KXyHffPw0/H393+vAC+SzpJ1K6cke5dfuRZMqYWiqULSjTZ6126j4x5eAM6VJIwFBvyZsnqxQr106e/vSLW4eGQlsHdsyQrTuPysTgJfLbb690rw/u04L6S/asGaRLz7Fy8fJtQ+Po0aWxGn9g0CIZNmKmoXN4EAmQQPQSoICLXv68ezQRiGwBh8f6/fc/pHajvrL/0Jloekre1pRAs0aVZUbwAFm6coe07RSgPhrYp6UM6ttaVq3dLS3a+xHYW0Lgq5yZ5dCuWYIKsV/mrifPX7zUfbJO7etK4IhucvnqHfmmREu7Tw/hsXPjFCn0TS4ZOHSqTJ6+3GNoxY37gZw5vEDSp0tpaJHerlVNCRrbS1CYqUmrIU4/Z5JPE8v1c6sEXtAyVTrJiVOXzQTc1TMrJHWqz6VgyVZy5dpdObx7tkBgTp2xSvoOnmz3fp98nEgKF/zK4ZhOn70quXJklg5t6jg8Vjtg+66jMjt0veHjtQOxEYD3LUe2jLJ63R5p3m6Y09ewdwI2n5bNHyHf//CTZP26frgAT58uhTz69gd58+YvdTre0T1bpkmBfNmlfPUucvT4RUPj+CjRh3L9/Cp5R0Sy52soP/38q6HzeBAJkED0EaCAiz72vHM0ErAl4GaHrpPjJ/9bbGhDRJhV4wYVpFTxfE6NGgvHkhU6yPWb9506jwe7n4CegIsfP65cOL5EeeJyF2oqd+5+6/4b84pRSgCL2K1rJ0nxonlkQvBiGeI/Q/f+8DJdPLlMPkv6sbx+/bs8f6Hv1UBV2Sy566pFMQScERs9foEMHz3byKFRdgyq7m5eM1H++usvKVOls0Dg6Bn4Hd07V3JmzyilK3vLydNXnB5jn27NZNjg9nLsxEUpW7Wz2fm4/vljiwWtXIqWbSvnL96ULzKnkY0rJ0ia1MnUBku7ziNshqkWKfSVw3nAnDVsPkiSJ/tEJo/rY2j8qB081H+GjA9ebOh4y4Pgfdu7dZrKra7TuK/s2H3cpetYngReG1dNkNIl8knAmHkyatw8dQj4XTyxVHk3M+Wsrf7OVQEH4TZ8aEfp0aWJIYHvlgfjRUiABCJEgAIuQvh4sqcS0BNwpv8Q6j1Xlsxp5ezRRU4/8toN+6RZG1+nz+MJ+gSwyMuUIZXTeMqV+UYtUPYeOC3jghaGn1+nZmlp06Km2jmfu2CD+vubtx/Jt49/cPoeUXUCxETgCB/5/oen0qVnoPzvx2dRdesYfx8spA/unKk84DnyN5In3/1oNWZsyCwNHS7VKheXH58+k59/fi4pUySVDz+MH/7f2kkQAxAyOzdNUaFp8Bg9e/ZcMmdKI59/9ol6T+4/MA+/XbJim8xbuClGsUJ43biR3aRj27py9fpdKVKmrW4oZdlSBWTDyvFy8PBZqVSrm9PP8P7778mV08slRfKkynu3YfMBs2tAZJw8OF+yZkknJSp0kDPnrqnPU6dKJptXT1Bc4QXr1ke/mu8XmdLIwD6twq9ZtVJRNW9r1u8N90ThQ3hIERadNk1yh8/Qr2dzqVa5mAp7x++1qzZ0YDvp28NLPVPx8u1dvYzZeVmzpFchp9hkyJa3gfzwv5/V562bV5Pg8X1l09aDSqzCXBVwOBd5cJdPLVPfG3rh3DJ1vAgJRCoBCrhIxcuLx1QCtjxwXXuNk+MnL1kNO06cd6Vdq1rSunkNpx/p0pXbKlSI5h4C3Ts3lhHDvN1zMRtX6T1wUozOx1m5aJRUqVhUjX6Ar2eF80XmxGk5QM2bVJEFSzaLd7cxVrfDMaP8ukhX7wbKe4GFNoqcaGFqEDfIY9KKOeD4qRP7SYumVZW3qGTFDionDJ6gHRuClYArULyl/Pr8t8h8NLdcG0Ln2N65ynuj552EsEUoIEJQ6zbpJ9t3HXP6vg3rlpO5Ib5y+84j5dW27IsJkQGBneerLFKuWmc5duK/31uEeO7bFiJJkySWBl4DZcv2w3bvj9C/Rzc3yb37T+Srgk2cHqsmeuCZLFH063CPoOmFEB6JcE8jFi/uB7JueaCkTPG5ykE7cPiskdNUGOQff/yp+66OH9VdhYGavs94J+eFDJV6tcua5XhGRMDhmtMn9Vd5ksyFMzRtPIgEopUABVy04ufNo4tAVOTAac+GHfsCxVtE16O+dffFQhsLdGcNO8xYNMIjc/b8dbunwxO3dcdRZ28RZcdruXu4YeVa3QwvFKNsgNF0o8QfJZTbl9aq3CtsmiC3zdLy582uQt2QN1S1bg85cuyCOgQL2DnTh0jDuuVl5ty10qNfWJGSr3N/qQpIwDMBsXf1+r3w4zWP1qJlW6VD11HR9NT6t33vvTgCQWFpRQvnFh/vhjIicJ5cuHjT7OP6dcrKlAl9Vcg3Qr8txdfr3/8w83JZXhsCYv/2EMmbJ5v07D9RcdQ7RhNMtRv1kZ17Tpgd8k3+HFK5QhHxGznLIc+qlYrJioUjZc78DeLTe5zu8ZrnMUe2TKqAi+bx0w7GmG9eWK3CqFNkrGyVL5nv62xq/iPLwNjUE2l6HwjUGxdWS8IP40vh0q3Di5JgzHjP4QFGiKq26RgRAYf7oqDT8f3z5Pnz3yRL7noesSkRWfPC65JATCdAARfTZ4jjixQCFHCRgjVGX7R2jVKyaI6/bNt5VHkXPN2wEP/hh5/k5u2Hnv4obhs/QiKXLxihQucQbmbLIMoyZUwlq9buMTvk008SKe/R5m2HzdqA5M+bTTKmTyUr1uwyOz5hwviyNHSE7Nl3UiZNW+5UOwK3PbSNC7VvXUtV4nSX/fOPSOceY2T+4s02L1mzWklZMm+4qsL4ZZ568urV77oCbmlogKGQReQpwgOmV9URwmxsgI94t6urioYghFLPIGqQ55ohfUrlpbPMc8U9vru7TYUmZshe0+oSuXJkkuULRpr9faqUn8l7772nvK9aARFHnOPFiyvJPv9UedpMw3rD8vUGyqUr5psNyEtDHmHvbs1k38HTUrVOj/BbZPsyvZw6tED9NzYWTIU2CtbgmXEfvfYYGzYfklYd9Qs24bxrZ1dIqpSfq7DMzdsOOXosfk4CJBBNBCjgogk8bxu9BCjgopd/dNwdZcrXLguUQ0fOScWaPtExBN4zEgloC/pO7evJwqVbpKPPaLt3g1cDx7rTVq/fq0IHY4KhaI//kA52h4IFO7w4MAgYS4+b6ckQcAN8p1iJWO0Y5LAd2zdXUCVSr3iJdpwWqtesURXpPTBIDhw6K+nSJpd0aVNIujQp1J+Rt4ZwSlwLgrFTd71Q2HdUqwPk0qXPVtNm6X4UKvrh3nYlJpNlqGT1jHnzfCkHd86yO2ZTDqbj9+42ShYu3WpouocNaid9unvJtJmrpc+gSQ7PwQbNtnWT5J133zUrroL7jxzWWXw6NVTPYjlnCIOF6X2Gv0drG+T66RmuPSN4oDRtWEmCp6+Q/r7GivY4fBgeQAIk4HYCFHBuR8oLegIBTxNwWIR4t60r+McZ1eNQiEPP0E+pdvVS6qN1m/bJt4//59J56M3kyBrXr6B2ajduOahCrlAGvEzJ/FKsSB5V2Q9hiqfPXlMLPsvmsI3qlVdFC3AezrdnCJf8/LNPVeiatiMMDsi1MWK79p5QRT4KF8wluzZNVeNCjpOpfZ07iypwMmzkLLMd+pjIHeNGIReE+mGHHX229AzV8KpXKaZyu1Kn/FySJv1Y5drcuv1QhYeCi6lp83nrzkO7/Qux4G/epKo6FXNr2j/P2XsamT+jx0CMQEAgVK5D15GyePk2u6cipBahc+4yLJjrNxsgW3cccdclI/06eL9/fLBTLfaTpi3vchNnzPvWtUEC0QHTBBzCOJUYS5tCCTKUvc+QLqX6LqLIiSPD9xa/D117BVodipBHhBEiL7FImTY2L4WwabQpwO8mQhUtTcvZW7IC1S/D2os4MvzWHdkzRxWDyV/McXg8vGJoq5Dk048kbxEvh15zhALjXQY7VMf09QuRCVPCvufw4l0+tVzixn1fhfSeu3AjfLgRDaHEhZo3qSzTJw1wyNURI35OAiQQuQQo4CKXL68eQwnYEnDos4OiI85agvjxpGCBHEpgWZq7cuAG92stA3q3lBcvXkqRsm2tdvoRarR/+wxVgADJ8wi5wQLf1fMcMUBJdRRywG4uFg6hM3x1nx+CCQUJUChCM61xLPoNoQS2XgI/jsUi7cb5Vao0dxvv4bJs1U51CSyIfnpkHs5ma7wVanSVw0fPC0Khju2bpwQMiiuY2tiArtK5Q30ZP3mx+A43z3dxlZ+r5znijs9RcGHrukny5s0bSZyijNUpWCijLDuKVdiyFat3qYUxeqXB+vdqIUP6t1E9oBBKZis0rFunRjLSr5PKj8mYo1Z4mJwr9zTyrEaPQYjajw92qMPzFW3usHUHxEutaiUdXh4VDzNkSCXDAmbarEwKdtg88TQBBw/Xo5ubVWuBj1OWdTkEFIwG9f2vUBMEXLlqXWTN0rGqQbcte/nytdy49UBtAqAQyb0HT+TBwyfqz/cffif43JZ5Na4sIZMHSMicNVbfWRSZ0X5TsFmE3EZbnjz0gUROacCYuTJqXKjD9wEH4PcO3jEIViNz3qRBBZk1dbDaNKnZoLfde8ALNnvaYGlUr4I6zlTA4bMRwzoJvoN6/ebcIeBQaRVVQvFvR5I05R02fTcEjAeRAAm4nQAFnNuR8oKeQEBPwGFBmjlXHfnt3wWts8+Bqnaj/btYneYuAQdxuGn1BEE/J4gilDbHQkUzTYRAhGJHGhX2YK6e5+j5NQEHT0eDOuVUIj2ql506c0USJIgvyBvyH9xB9XjCmFC97+Gj79VlUWXu5oU1Kr8F+StYjOiZVnHy52fPldBDvgdME3BYZIyd+F9LANNrNGlQUe1gawIOAgM715a5LhCHty6uUaFkXxduphaUpuYqP1fPc8Qdn9sTcGAL7wC8o/Bwhi7cJAePnFU5NvA61a1ZWok1VCScNG2ZDBw6Td0SXj00WMYiEItSWxUAcW14IOYt3KhaGGjz6co9jTyr0WOUR/fcSuVNSv1FVXn2ywujp9o8Diz2bp2u3mVbRVH+a/Cd09BiPsKDcuMF0HgaYYiOWqjYuyU87lvWTFSbLNgUaFC3nPLAlavaWeVwodDIvfuP5f6DMIEGcYbNFAinVWt3S4v2+vlY9u6J7xbGjVwwPZsxZ4307B+kPkLoYu9uXtLfN1imhKw0OxyCKHTGUKlbq6y07fTfBpERxDWqlhDk8mFzCL8xtsz0HTJSWROFZDAm/LbjN7VokTzhHjj8RuE37IMP3lOeP8v8V3cIODRhf3B9o/oeoZCJ6cabES48hgRIIGoIUMBFDWfeJYYR0BNw2O3Nnq+Byz21LHehtUd2l4DD9RA+gya7+H/THIWK5Qqp3W4Imur1esq+g2fMiLt6nr1p0wQcjsFiv2lrX6vd2k8/+Uj1lELRCMu8pHkhvmqxt3vfSalRv5furZCoj0XatJmrpM+gyeHHaALOlgdKjWltkBK7moBLkCCeyoWBYWdZE4NabhwWS2WqdNIdh6v8XD3P0dfFnoDr2bWJDPftqEJBi5dvpytkUBJ/WlA/NV8QxvC6wTatnqgaBuvt7uNz5BudPhwmmMFKq34XkXs6elajn+MdQwn8P//8U3mT3GHuEHB4f42WoXd1zA8efu/Q46h3be3d1wsrNjIWiLYrp5epcOgRY+epjaVVi0c7zCeD6Nu+frJuOLOR+zaoW1aV0Ydh403LO0RBEvSR0wQc5g9FbdByA78xe/afMrs8PsfGAwSls03L8ewXTyxRm0T4Lpw4dVl36FpfQojYnAUa280zxIbW3SvrJPFHicSnd6CkSZ1c+vTwChdwqNC5e/NUWbBkqyooY2nuEHC4xrPHu5Ug1xqtG5kTHkMCJBC1BCjgopY37xZDCNgKoYT37fbdb50eZYL4cdXCQc/cKeBwfYgSeOLwD22dxn1VrsLx/aEq7wyLqJGB83TH4ep5tmBoAg4iCgsTzbtmeTzuCzGFMK28Rb1Ey69D+BH6aGGnFxUDLc/XFj64HtowgKNmrgg4nAsPDRabpp42TUiib5O95suu8nP1PHsvoT0Bh8IcEDMQ1baaEsOD8fThTuUBLV+9S3gpfS3cDAUf0merER5eqY1Fa1QMLyUYahaRezr9ZbNxQvkyBVUPLlT4gyfdkaHKn9+QDtK+dW27h36YIJ7yYmOD56+//9Y9Ft9/HGMZTgcPz+RxvV3qH+lo/KafGy2MYXnNls2qqh53eFcwdmcNv0HYUELYedtOAar8vxEBB2/vtbMrlfhC6X5nDMLi1KH5kiVzWnWaaVVZbD5gE8JUwJ0/tliFtyJ/9tfnL61uVadGKeXRR64dwolRrAXiSa+CpuXJ3To1lJF+YWX8URjJNCICx4IPeFQsX1iG+E2XiVOW2n1UHA/P4t79p6Xv4MmC75upgMPJCD9fuXa3yme1NHcJOEQkYPOpVsM+VrmyzswVjyUBEog8AhRwkceWV47BBDytiIklSq0PGJL8r12/J8WL5lGlpqvV7Wl3h9fV8/SmUhNwWBghNMieXTq5TJXx9uk9XubMXx9+6OnDCyRrlvS6wnPimB5qcY2dbeyOm5qrAg7ewLKlCgj6T+3YfVx5Ri6eWKryvZDP9fyF9QLP9L6u8nP1PFtMHeXAGfnqYWGLTYeOPv9V0kNe2J3L6wT9p9p1HiFLVoR5LDW7fGqZKkaBPEHkCzprevd09hq2jse8Yn5tlYPXW+zCC4SNBHggNY+s5XFJk3ws77//nvLMY7PClmEjApUv4VE2NeRWVipf2F2PqXsdiA+t5xqE5NUzyw3dL2HCBPJx4kRKnP708y+GzgnbcAmrgAiDdwu5XfDmGhVwGOPj21tUfzN4gBFibdS0fDLMBzat7Ak4rQKlXm6yvXlEtUojofTYAMEmVIF82XVz7Dq2rSNoxH3txj1VOMmIKEQ0BXrjIZpCT8DZ4+QuAXfv6npBKCWiOWwVzDI6XzyOBEggcghQwEUOV141hhPwdAGHf6g3rpqgwt1gyGFBo1csXh39A+/KeXrX1AScXuEPy+MR3omFiWnOFY6B5yZwhI/yvsELpy0KsTBChTmEYJoKDO26rgo43Av3RJNmLHiDx/eR1s2rK6ECweLIYgJ3jNGogEMeHCpswuOB3lUotoPKgPBioGcXilh07zvBrOfZlAl9pJVXdauCCwUL5JQ9W6YpTypyY7QcS0tmrtzTEXcjn2uVATE+FHaxVxIf18Oi/sntLSoXEN5EvX56RkIojYwtKo/B3OL3LbIMXD9KXlq34IlRAQeu8MoXL5JHFVvaf8g85NvW2HHemSMLJVOG1IIS/jOnDLIr4PA7ku/rrIZQwFs6d7qv2tQxDbF2dDLyShG6i0q58Joh3BuGpthoao4xl6rUUS5cuuXoUlaf6wk4ePRt8xEZP7q7fPlFejWWyxa95bTzINYvXtYv1oX3ByGUGHehUq2s+tM5/RA8gQRIIFIIUMBFClZeNKYT8HQBB761qpeUxXOHK9QQIxAlRszV8yyvrQk4TQzZu7cmlOApaNRiUPihHydOKLcurhXslKM6m1baXhsjQqywQ29ZjU4TcFhMLl8dVpnS0kqXyK/CgLQcOHzepkVNmTyulyxYskXGTJgv8AjB9AoC2HoeV/m5ep7eOBwJOFQiRU5mlYpFlFizZ5YCzlSoIRRR2xTQPKLbdx1TobuWFpF7GnlvHR2jtQXAO4Hwzx+f2vcowfMLD7C9Ah6eKODACRsfjix7towqDw2eM4T+xYnzrvISGfGGaTmTlvcwKuBwHiqeopjOxClLZLBfiKPhqs8hsiaM7qHGiyI6yJG154EzdNF/D8Jcnzu6SIVbYgMAGwFGDTl9m1dPUIfjd+zYyctycOdMyfZlBt3iKUavayng3CXOTZlZjgW/mfDC43uE77+tjRqjz8DjSIAEIocABVzkcOVVYzgBTxdwqEaG3BOU2Ych3Abhk452sl09T286NQE3xD/EZi8y7by5IUNU3zI9T1fI5P7i1biKrFm/N7zBLPJGsBicHbpOuvUJWxiZmittBHD+l1+kUzv4N289lOOnLgmaHU+ftVp6D3TcWBfnu8rP1fNsfY3sCTh43DavCRL0kkLeYOiiTXLp8m359skP8uLFKxUGiJDRXZunqQIxlgIO9zx3dLGqHorCMfAoYOF45/JaQThhsza+Vrl17rhnRH8y4G1BGwF41uCNtuVh0O6jheIhh3TS1GU2b492EGgjMHT4DN28I8sT8R2M6Yte01L1+I6hyiuaTM+at1a69zW2EaQHzBkBBw/V8f3z5OatB5LHJJ/S0XuA8F7kIqZNncztAu7SyaWqoXjCzx23l7AcZ+cO9WRsgI8Kx9134LTUqVlabG12OHpG7XNLAYd3e+HsYXZPL1EsrxLwaCXz00/6mxjnzt+QwEmLdK9jWgwoSZoKTglZo8/F40iABCJOgAIu4gx5BQ8koCfgsOPYuOXg8Mp6zjxW/PjxZMzwLqppsqW5u4iJaRjfwcPn5MDhM6okt6MwSlfPs8VBE3BzF2yQrr3G2cWlHTt89BwZPX6+2bEo0Y7+dVpFROQbocEyRAPaIWCBrWcogW7E7t5/bObBQ6l8VI7DDjty3nIVaBxehdHe9Vzl5+p59sZiT8Bpz7d+bWUMFQAAIABJREFU035p1maozd5e6K+HcEc9Ade7WzPxG9w+vPkxcrhWLxmjOCFX0LJYgzvuaWQuHc1PWMn/7NKjn3lYqOV5EDBYbCOc1p2G3xBPyBtCPiq8z5jHXN80kVevXsvl08sFxVgKlmztUkVLcHRGwGkFO7CJkL9Yc7l2475TU4HzHHngUAjJiKHdhupJd36V2vj4PH1FI6eZHWPZvw2eTIQgOgprt3ej6MiB0/L2tGbsToPgCSRAAlFCgAIuSjDzJjGNgJ6AM1r8wNazoO/YrKn/hQdqx7lbwA3o3UIG92ujds3RmwpV97Smskg4xwJSL//H1fMcCTgsftA42VbOEXbMb1xYLSjxjabf8LRZmtZbrO/gYHkvThzVKNrV0uaW10ZftF9+/S1cdEwK7CltW9ZSh/X3naLaMZgaxqlXzMRVfq6e54qA06r74dw8hZrq5nXhM3gZrpwOK3ShJ+AQjoiKndjx/6pgE9WkGR7UkNmrpdcAc2+lu+4Z0d8IVJVE3zGIT1Nvrq3rIicTFUn1rFjh3KrFBQplvH79u8ohxMbD4yc/2hwmqgOi12ClWj5y6Mj5iD5OpJ0P4bRojp/Uql7KzPvc26epqsqJfm0IO9arcuhoUM4IOFyrX8/m4jugrYwev0CGj55tdfnMmVJL3txZZcWaXVaf2RdwawW/Jb880e8vaXox/G6Vq4ZKkpdVYZUXL17KF1/VdfSoVp8n/uhDmTi2p/qewF6+/F18A0IUY1ctqgWc6bsxZsJC8R81y9Wh8zwSIIFIJkABF8mAefmYScBWCOW6jfvkxKkrTg86QYK40rJZNd0FoTsFHJL+N//bNBfewg2bD6ixIvEe4UioKBcwZo6MGmfu5XL1PFwb4Ti4vmUSvmkfuDbetpvgaj3C0BA2R/5GVr3icI/WzWtI8PjecvnqHZU8nz1rBuXVg3fPWYP4wAK8WJHcqsIgwiZNG9IunO2nwpuQX5f2y+pm3iQ8K8p4o0E18kQ0c5Wfq+fZ447PbHngtDLqOCZJmnLy+nVY43NTgyhbu2yslCv9jfprPQGHv0dJfpTmD5q6VNq1rKWKfaAv1LkLN8yu5857OjvXlsc7W4lS7351a5WWWVMGKc9lldrdZewIH7uNvHENvLMHdsxQ7RvQe+/seXNGEX0ud52v5ZChuis8Trm+aRwe7qkV8YBwRV81iDhnQ0GdFXCaJxBjwUaBpbeqbq0yMn/WMPELmGkV8ufIA9d74GTVA86R/SP/yBC/GWqzA4IPnkC0LXHGShXPKzOCB6jf/0fffi8HDp8TbOjB0HsO1Um/fWxd9t/RPaJDwLECpaNZ4eckEDMIUMDFjHngKKKYgCfmwKFkNvLeUiRPKnMXbJSuvQLNqGGxs2DWsPCF58Ej59Tnrp6Hc5HQf2L/PIkXL66MDAyVEWPnht9TE3DoAQUPhVeboVYl1Ft5VVNFB5Cf1K3PeJkd+l8LAdPBo5z4rUtrlZcOhhLeCNVDXyZbhmqKmTOmlqxfple5XChKke/rbKpdgamhwmWxcm1VUQt49rp1ahT+cbW6PczKZGs961AYpXXHsAIxrvJz9TxH3PG5LQGHXLu7V8IY4/3Ae2JqeHdQjATFTeBdQg6lLQFXr3YZmT9zmAo1RTgrBDxyyyzNnfeM6M8A3lP0sEJxHPTlOnzUuCfs888+lrEB3aR+nbJK3Lds76daTYSFZWZT3m5sMOgZBBxCEjNmSCXZ8zWUBw+/i+ijuP38Tz5OKFMm9FWeN4QrYwPIdJMCN8T3FKGyZUrmV8+AjQzLtgj2BuasgINoHOXXRbp6N1C/DfiNMDV46FDspEV7P9Vc3tQ0AYfxtWgXlhdWvOjXsjQ0ILwPnDMQEU6MEMqDh89KpVrdDJ0aP94H4j+ko3i3qxvW823tHvHpPU5++fWFVCxXUKYF9VffsWe/vJA+AydZteVwdJOoFnBag3UId7zHtlprOBo3PycBEoh8AhRwkc+Yd4iBBDxNwGFxsH7FONXDDCGL8ITo9RTSCoIgrBKLbYgWV87D4h6mecbw5zPnrknx8u3DZ1MTcEMDZqpGuP16eqmd59NnryqvHfJP8nyVRR2P3m89+oU187ZlqA6JKpEwFN7o3GOs7qFYXAaO9FGlxJEvZ2loMo0QtiPHzsuho+fDG4RDuEHAIWQKIVkIdYI3qWzVTuGeKlRuRLig1tQ7JnLH89rLgYMnE/MGw/Nt3XFECeIc2TNJjX9zNBHKilYByNm0JeAwpyhcAq8uDCFpU2es1J0Td90zoj8VEAQjhoWJdCP9CXE/hNh27tBAOrSprfKfrl6/K41bDFYeGaNVKCGMEXL6119/S9K0Ma/wQ61qJWVMQBflIUJoX9vOAYIcST1LlDC+zJsxVOWzweYv3iIDfKcoUeLInBVwuB560Z05vEBVjEUhJm3jCexXLhqleujBc4/QTlPTBJzemLRG3o7Ga/o5flfQYiV00Wbp3GOMw1NLl8gr40f3UB5+NAjvPSBIFi/fZnYe3i00ckfLDtimbYdkxJi5hlsKRKWAA+8VC0dK5QpFZcBQ69Byh0B4AAmQQJQSoICLUty8WUwh4GkCTssVwY6ovZ5CCHM7umeO8pxhZxoeCOSYOHseSmFD6GABsml1kKRNk0y695lglotiKuDGTVqkms42b1IlvDIm5vrHp89Uk26tybC9+S9cMJfs2jRVHVKyYgc5deaq7uFaJUmEuN2+861cuHRTLYjw/8ib08SndjI8dQG+3mqXH6Z5pratm6waoJvmSyF8EuGbmhclJnLHM9gTcPCiDB/SQTVBx581w3wiR3Kw33RVGGbZ/BF2BRzO0/IFUewC7Rye2qhq5857RvQ3Al6wC8eXqPcX7SGw4aFnaJfQrFElaVy/ompjge9I8IyVMnbCgvAmznoCDh4ViHx4sf74443Ejfu+VChbSHl+Dx05pzx/McEQKgtBhSby2kYKPIjwVl29fs/hEDu0qSMjh3kr7ztCGyGKULHSXnsGVwQcBgKv4OK5/srzibBVfI/hjb95cY08ffpMCThL0wQcCusgCgCGzQa0s3BWwMWL94GKXqhSqZgM8ZsuE6cs1eWDUHJUrsX/NE//8ZOXpLX3cLl331xgml4A71ngyG6CfGDYnn2nVE9MrW2KrcmISgGHCIZTh+arNhI5CzQy1HTc4UvEA0iABCKNAAVcpKHlhWMyAU8TcNHNEgt0LFhNzVLAaZ/lzJ5RMmVMo7w/lrvm9p5Dq3yI8u+o3mbPENKG3ELL/nCW5yC0EwUbUJkQhnYBWlEBeE3wDFiIYWGLprfI/8GiCgI2Jpged4zLUR84HAPxjT5UaOCNBThye5CHGJkWHfe0fB544eaFDFWhkHreFMw7iv5kzpRGnQqht27jfhnsP91qEa4n4BBO+vDGRuWtMzXkPiH07u69x5GJ2OG18c7Dm9ioXgUVbg17+vOvEhS8RKbOXOVUWFyObBlkRvBAldsHg8hdtmqXBE9fpisCXRVwuHafbs1UERoUjVmzYZ+qiAlhp1e5Fsc7yoHr2T9IlxVCzV++fKUECsQ4BH/VSsWUyMW7gIJMpqIfnugaVYurVifI94QwhiEiAWGfi5ZtM1RqP8mniaVj27pqbvBnGIQnWlggIgCtPSwtqgQcvjNTJ/aT5k2q0vvm8BvGA0ggZhCggIsZ88BRRDGBH+5tV0UZosLcVU0xKsbqzD1sCThnrqEdi0XR1TPLVYgXFl7YQXeH9e3hpTyD8AR26DrKKucHi90dG4JVWwEYPE0o3nDi1GV33D7SrlG+zDeybvk4Jao/SVU20u7jqRfGe3T2yELVnBreVNNiHBBl8LaUL1tQFi3dKiFzVsut2490H9VWCCW8d1iEI4QXi99btx/KlWv3bLZsiEqOpnmr2ECZv2SLTJ+5Snm3XLUqFYtK/17NVY4pRE4Dr4GyZfthq8tFRMDhYm1aVJegsb3CRRLmDeHiesVU8JybVk2QfQdPi3e3sJBH5GMiD+7O3Ue6hWQwn2uWjpUKZQtajf3pT7/KwKFTZdGyrWafaV54/CUqVEJszZm/waqYj1G28PZCKPl4N5D06cLydafNXC19Bln3oowqAQehj6q08GbS+2Z0JnkcCUQvAQq46OXPu0cTASTqI7ciKmzytOUyYGhYaODbZO4UcDWqllDFB7ArjlA9I/k2RlhigY0iKii+YquiHgqoYAe+TKn8KpwSzXdjumnFWO7c/VZVEqRZE+jfC+02Wsu4SYtl2IiZZgd88nEi5fHQaxdheqBWmTF7tgzSpNUQVZ3RE6x2jVLy9OkvqpmzOw2VSwsX/Eq35D/uU6JoHlUoBZtWKDziiqGKLHIzM6RLqXJnkYvoTkMecdVKRVXeLjyKCH28//A7OXz0nG54aPz4H8jC2f6ydcdRWb5qh93CSs6ME5tWdWqWUmKuVQd/3fBkFEdBripyT+cv3uzw8mil4e/bUb7IlEaQm2wrfNjsHf+3/UbPrk1l4LCpVm1VHN6UB5AACUQLAQq4aMHOm0Y3AYTOBI3tqarLaSEx7h4TvCPIQ0PxBxSReNvMnQJuy9ogQQXIJSu2S7vOjkt/v20sjTwPQj1RGAaLZITHofiDvWIvRq7JY0iABEiABEiABDyPAAWc580ZR0wCMYKAuwQcioacPBjWtw4NdY8evxgjni+mDQJFSdACQDPk7VWp3c1uUYmY9gwcDwmQAAmQAAmQQMQJUMBFnCGvQAKxkkC7VrUkfboUsmPXcdl/6IzLDFC+u2zpAqq8uWmfOZcv+JaeiLwrFFNAaBwKkqCHFypx0kiABEiABEiABGIXAQq42DXffFoSIAESIAESIAESIAESIAEPJkAB58GTx6GTAAmQAAmQAAmQAAmQAAnELgIUcLFrvvm0JEACJEACJEACJEACJEACHkyAAs6DJ49DJwESIAESIAESIAESIAESiF0EKOBi13zzaUmABEiABEiABEiABEiABDyYAAWcB08eh04CJEACJEACJEACJEACJBC7CFDAxa755tOSAAmQAAmQAAmQAAmQAAl4MAEKOA+ePA6dBEiABEiABEiABEiABEggdhGggItd882nJQESIAESIAESIAESIAES8GACFHAePHkcOgmQAAmQAAmQAAmQAAmQQOwiQAEXu+abT0sCJEACJEACJEACJEACJODBBCjgPHjyOHQSIAESIAESIAESIAESIIHYRYACLnbNN5+WBEiABEiABEiABEiABEjAgwlQwHnw5HHoJEACJEACJEACJEACJEACsYsABVzsmm8+LQmQAAmQAAmQAAmQAAmQgAcToIDz4Mnj0EmABEiABEiABEiABEiABGIXAQq42DXffFoSIAESIAESIAESIAESIAEPJkAB58GTx6GTAAmQAAmQAAmQAAmQAAnELgIUcLFrvvm0JEACJEACJEACJEACJEACHkyAAs6DJ49DJwESIAESIAESIAESIAESiF0EKOBi13zzaUmABEiABEiABEiABEiABDyYAAWcB08eh04CJEACJEACJEACJEACJBC7CFDAxa755tOSAAmQAAmQAAmQAAmQAAl4MAEKOA+ePA6dBEiABEiABEiABEiABEggdhGggItd882nJQESIAESIAESIAESIAES8GACFHAePHkcOgmQAAmQAAmQAAmQAAmQQOwiQAEXu+abT0sCJEACJEACJEACJEACJODBBCjgPHjyOHQSIAESIAESIAESIAESIIHYRYACLnbNN5+WBEiABEiABEiABEiABEjAgwlQwHnw5HHoJEACJEACJEACJEACJEACsYsABVzsmm8+LQmQAAmQAAmQAAmQAAmQgAcToIDz4Mnj0EmABEiABEiABEiABEiABGIXAQq42DXffFoSIAESIAESIAESIAESIAEPJkAB58GTx6GTAAmQAAmQAAmQAAmQAAnELgIUcLFrvvm0JEACJEACJEACJEACJEACHkyAAs6DJ49DJwESIAESIAESIAESIAESiF0EKOBi13zzaUmABEiABEiABEiABEiABDyYAAWcB08eh04CJEACJEACJEACJEACJBC7CFDAxa75jrKnLVYkt0wP6i+JEn0o/qNmydwFG6Ps3rxRzCeQKuXnkiB+XHnw6Hv5/fc/3DLgd999V/7++2+3XIsXIQESePsIxI37gaRNnUxevvpdvn38w9v3gHwiEiCBWEOAAi7WTHXUPujFE0slY4ZU4Tft7ztFgqeviNpB8G4xkkCa1Mnk7JFF8tvLV/Jlnnry+rW+gGvdvLoM9+0os0PXy9CAmQ6f5eDOmZIo4YfSsoOfnLtww+HxMeWAePE+kNbNa8i3j/8n6zftdzisAb1bSNVKxWTUuPmyedshh8ebHtDVu4HUqVFaQmavkeWrd9o8t1/P5lK7RmkJmrJElq2yfZyRm0OsL5nnLxOCl1o9X7NGlWX08C6ycctB8e42Wl3Ox7uhrN24Tx4++t7I5WPcMR3b1hHvtnVl8fLtMnbiArePr2WzalK/dlkZNT5UDh05b/P63+TLLuNGdZNTZ65Kz/5Bbh+HJ14wfvy4cu3sSon7wfuSPV9D+ennXz3xMThmEiABEhAKOL4EkULg/rUNkjTJx2bX7jckWKaErIyU+/GinkNg8Vx/qVW9lIwYO1dGBobqDhyi5tLJZZIieVJp1sZX1m7YZ/cBS5fIJ5tWT5SnP/0imXLWlj//fOMxQFp5VZMpE/qqxWSB4i3ku++f2hx7nDhx5Pq5lYpLoVKt5OLl204955a1QVKyWF6p17SfbN1x1Oa5h3bNkq9zfyk16veS3ftOOnUPy4Mhwnt2bSK79p6Qmg16m33s1biyhEweoIRdk1ZDpEbVErI0NEAeP/mf1G7URy5duWP33gUL5JQknya2e8zz57/JoaPnZEbwQPnk448MPcs///wj7TqPkF9+fWHoeNODGtYtJ3NDfOWPP/6UEhXaOz1H9m74zjvvyJE9cyRXjszS3/e/39OkSRLL33//YyZIypcpKOuWB8qe/aeker2eTj9Hl471JfFHiZw+z/KE3357JUFTl9q9zjvviIzy6yIlin3t8v1CZq+WBUu2ODx/YJ9WMqhvKwkMWiTDRjjeGHJ4QR5AAiRAAtFAgAIuGqDHhlu2b11bJo7pYfWofQZNlmkzV8UGBDHyGSEAvsiUWrJlzSBPn/4i12/el+9/+CnKxlq8SB7Ztn6yvHr1u/K+QXDpGRb8WPjDcAwWp3o2beZKGTtxoRJvEHFG7KPkpeWvv/4ycmiUHaMJqy3bD0v9ZgNs3rd6leKybP4I2bnnuNRq2Mep8b3//nvy5PZWeffddyTVF1XVHOjZZ0k/lrtX1isRnDJzFZvHGbl5ggTx5Mb51fLJx4l0xWDDuuVlbsgQ5Uls4DVQ3hERvyEdpJdPU3n2y3Ml+OBB0jOImY2rJjicd3hji5VrJzcvrFbC14i9evVakqatYORQq2MwLohQzNWJU5eldGVvl66jd1KRQl/Jzo1T5Nfnv0mWr+rK8xcvBeJn1tTB0qheBened7zyWMMiIuDwDFfPrBB4yyNq2JDApoo9M2Xmyv3w6zDUf4aMD17s8HRsLMIL9+bNG3rhHNLiASRAAjGVAAVcTJ2Zt2BcfXt4ydCB7ayepNeAIBXC9bbYBx+8r3bbY7LBoxXg6y3w9sSLF9dsqGfPX5deAybJ8ZOXIv0RVi0eLZUrFJGZc9dKj34Tde8Hr8qWNRPVOG/eeihx474vadMkF3hFbt1+ZHbOnAXrlRCdNXWQWsxevHRL8Kx582RVxx07cdFK/FWs6WOVK1enZmnp1K6e255/2qxVsmb9XsPXw/OdPBAqCRMmUJ6fJSu26567a9NUKVwwl1Su1U0OHD5r+Po4EOfhfD1PmOmFGtUrL3OmD5GDh89JpVo+Tt3D8uB2rWpJ0NieygsFj6Gl1a5RShbN8ZdtO49K3Sb9wj/u7dNUCTmI94o1usrV6/d0x9GnezPJnjWj+ix9uhTyTf4ccu3GPblw8Vb48fcffqc8LblyZJL33nvP7vN8/tknsmbpWLly7a7yhrpqyZMlkZMH5yvhCmEKYR5Rg1ALnTFU6tUuqyIZENEAg/iBOMU9i5ZtK+cv3lR/7y4BB+/ZDz/87PTwP/roQ+nfK8yj7EjAaRfHszhjODxwhI90aFvXsIDDORNG9xBsMtIL5wxtHksCJBCTCFDAxaTZeAvHgn/Ah/RvY/VkyMmYMcezRVz+vNkEIvXxkx+le98JMXb2MqRPKRBOWbOkV0ITCzwscj9L+okKk0v2+adq7L0HTpLps1ZH2nOkS5tCLp1cqoTYVwWbyL37T6zuhbHu2xaiwm/hWfMbOUvgNdy/PUSNtX2XkbJ4+bbw8778Ip0g9+3DD+NL83bDZPW6Peqz9SvGSbnS38gA36kyefpyh8/UuUN9GRvQ1eFxRg/oOzhYps5wLlwYeXDB43srz1O+os2tQik179vps1elRIUORociKNwA6+XTRAb1bS2D/abLNJN5RuEX05DT2dMGS+P6FWT46Dkyevx8w/fRO/Ds0UWSJXNaq3nTjoWYx7tpGeaHZXzAMG/p3rmxnDl3TYqXb293HNrx3To1lradhruct1esSB7Zvn6ybNp6UBo2H2R1T4gkeBWNGPLUfAe0lQuXbknT1kOMnCIvX762GUIL7yG8YvCgmn5/wBec4ZVLlblq+OaEOwRc6lSfS/5izeXajfuGxm96UMoUnylh6YyAc/YmYQKum3RsZ1zA4R74nTl/bLHizVw4Z6nzeBIggZhAgAIuJszCWz6GgX1aqoWjpUH0zJq3zmOffurEvoKCAnMXbJCuvcbF2OfYvGailCqeT+7c/VYatRgkl6/+l1eEpH7f/m3Fp1NDJe5KVeoYvoPv7gcaNqid9OnuFZ7vpHf9lYtGS5WKRZRHpl7T/krswbJnzSCHd89WYyxUurXcvfdY/f3yBSOkWuXisnTlDmnbKSD8kgj9OnVwvrz3XhwpUqatChW1ZxCx8IK5yx48/M5uaCoEp6WvAd6HOdMHy5lz12V26Dqz4i4QsQd2zJDMmdIoMWRZ7OTvf/5Ri1FLg+hFPps9g6AvUiZskwXeZIQ8IozSiCFPbcfu47qHVixXSHmznnz3o2TL20A3L7Fo4dyyY0OwnDx9Rb17pgahAk8JhPDN2w/tDgfs8Jy5c30hmXPVsSmCcmTLINMn9ZcTp66oDQtLa928mgSP7yuTp62QAUOnmH2Me0BsVipf2Agal47ZuuOIeu/1TMvd0vIFtWPatqwpkwJ7WXlWPVHAofBVooQJnGLXo0sTqVenrGEPHC6OuUQubs1qJVUeLvJxaSRAAiTgSQQo4Dxptjx4rNriw/QRsDiHiNNyNjzt8TxBwNWtVUYWzBqmcr4KFG9pU8hoOWTwYMGTFRmG4gtYYHf0GSULl27VvQUEBEIZ5y3caFVAAhUUs2ROJ1NnrAj3CMC75OPdQIXkIoTS1Nq0qCnFCueWydOXydnzMasq5b2rGwyLJCNzgZLoWXJbh4BqAg6tGiyLoyAnDl4SUwGneSKRH/T777bDghGmClFZq2Fv2bnnhNUQIZzhScX9fYfPkPGT9XOTENZ4bN88FSIJT48tQ4uIlCmSyqNv9Uu/o5AJCifBs5y/mO3Qx8b1y8vsaUOsBH/Yol5kxLBO4uPdSHr0s95cwufTgvpLSZNCGxDi8Ba/ePHSZj6n3jPBm4Z3/Yf//SzIt9Ns38Ez0qn7GKtTcPyJA6EqJBMhwIePhlWfhBDB9xshwPiOm3pSMT+YY3hY9UK88fsLz6ZeeKqWAxeVHjjcc8PK8VKmZH4jr7zZMc7kwGkntmhaRc0nciQRekojARIgAU8iQAHnSbPl4WMd3K+1DOjd0vwf3n/+EZ/e45UXy9PMEwSclnNm6aGyZK3t4t+6/VByF2rq9qn49JOP5MH1jWrBCW8MPFT2DF6Or3Jmdts4UKhl/uLNbrteRC+E/ChH1RPhiUC4HjxrluLU8v7wcuktQjUBd+jIObXwN7VMGVPLheNLwgUc7nfp1DIlSGwJM+187b1CkRHk1FnaiH/DH/H39ipZwlOKghIQoKUqeUu6tMklXZrkkj5dSuURDfvvFAIhAVGY9ev6uiJOy6VDCLCeZ00bH7zAvbt7ia9fiEyYssRs2Hg3VywcJZUrFFbFU4xU30QoHhjef/BEvirY1FAfwo8TJ1KhhdrzOCoihHGhmiRCgl+//l2SpCkfPm54ji+fWi7wpFv2QMR5Wk6ZXn9ECLhCpVqrfD9Liw4BhzEgLw0hoc4Ywl5z5sjklAcO18c7dvnUMiV8035ZXZ794nzFUWfGyWNJgARIwJ0EKODcSZPXckgAOSHoMWVqWEj49B4Xbc2+sQhq27KW5Pkqi6RNk0ztVqMHFcKs5sxfb7Z4RoPyQgVyqeHXrFZCFctATtKGzQfDH2n+4k3yvx+fmT0j7oHS+XnzfKlKgMMbAs8Hzt20Vb+XF/KQ0EMLPbIQAgjvFXansWBBiBuKj5w+e01WrNlls5ea1o+vW5//qtPpTRL6iq1YOFLt4H+csozDeXT2AK08PBa6yDlxZFMm9JFWXtUdHWb4c7BCJUJPMq38/oTgJTLEP8SloTsj4LTvpqNKmBjI2mWBUqFsQV1xBqEBwaGJB03AQcRj0YxiI+nTplB5SAgJLVHUcel4eBAh+lt28Lfq8QfPGAqlwOOKEGFb3yeMByG3VSoWVWGKCNM1NXx+7ugigbDN9U3j8DBde+BxzrL5AaovX4v2fuE5mPbO6epdX0b7d5Xlq3ZJa29/h/PauUM9GRsQJr5Nq2PiuUcO66zCn/Vy9twRQgmBDS+hK1Vb4TXF715MzIEDS1ORau+9cThBPIAESIAEooEABVw0QI/tt0RlShT/MDWIuC49AyV00aYoxdO8SRW1+NMKPVjeHH2gGnoNlINHzqmPtDwue4O07M+0P5THAAAgAElEQVSF6n8LZ/vZLGEOgYb8rRe/vTK7LMqFo2y4V9uharEROsNXsCiyNIgTVLpD7yxTQ4jWd3dQNv5d5VFBeJYt04rNXLpyWwqWtK4WGNFJ8RvcXnp3a6YWuEZCNAvkyy6ZM6a2e1vsumtFLmy1pkC7BJSk90QBh+p6ndrXi1COjlEBV6dxX4HYjxPnXclXrLlD8aIVialWt4fsPXA6fJ5QxREhkVphHHwAAYfv0f7tM+zOJwTa3fuPVXEb/Pne/ceCCpL4b4gALR/S8iJ4vy+eWKJK3mf9uoFV6C36kGkLdhSuQJ6VnicP4YY/Ptih7pMkTQXDogV99dAGwlCxlXfeUcUzMIayVTs7rPyaI1tGlfuoVY41FXBgjF6JqNJauHQbs9xWPK+7BBw8wHoePEe/CZgXeJBjsoDD7zK8t2MmLBT/UfZzRR09Lz8nARIggagkQAEXlbR5r3AC2oLeUsR17jE2ykLdShXPq/pIYaGxbNUO5UU7evyC/PXX35Izeybp16u5anqMBssQNRBI8Ljl+eoLNewmDSqp0uzIR8H5mqHp9M/Pnqv/xG7/knnDVS4Kig8Eh6yQK1fvSuLECZXHDxwQMoQ8FDT9NS1EoQk4VF1sUKecWuyh7PWpM1ckQYL4giqY/oM7yBeZ06iCGSUrdlCeQ2cNz49KjhjPwqVbpKPPaGcv4fD4aUH9pEXTqqoHIHoBusPKl4GnZ5zdoihag29PFHBaw3OEGMMT7IoZFXCtOvirIjFTZ66UoQGOmxvjewNvcNU63c02BjRhh7wi5Mmh8ikEHHq5nT68QImxew+ehIkz9f9PZPa0QZI6VTLJW8TLYbEZPQb165RV5fX1DGIsfbYa8uPTX1SY4Q/3tiuPespMVawOR0XTM0cWyu07j1SVR6OGzZWje+dKzuwZBYLW3kYJvJbwXhp5H7GpBNGLPEGIZLzLmoDT8vW6dWqkm8/nLgEX2Tlw9WqXUb+jEbFsX6ZX4bZoOXLn3rdml1q5Zpfio2dgOG5kN+nYtq7MW7hJuvQcG5Fh8FwSIAESiFICFHBRips3MyXg/2/DXtO/w4LLaChSRGmi0ThyLixLmGvXhQcLi1pUQBw4dJpMmrbM7JaOcuCwAENIFhYX4yYt0l0Y4x4o9oDwSMuS95qAw00R1ta0ta9VMQKEpSHxHwt1V8UXPFSYC4RPIo/KtEplRBlr569cNEqJWf9Rs2XMhAVuuezbLuDwXsATicbervYRMyrgUIUSYa7I+8ImAsKD1286YNPrpTUer1K7u+w/FObZbd28ugSP76M2OtDmACG52PCwlwOn3u21QWqjxJXnxObDqUPzBeILhlBjbRPki0xpVHsJTcBhgwLfZ2zSlKvWxeod1No07Nh9TGo36uvUO6oVxLDXYB1CD9+DSuWLSKfuo2XBki1279GjS2MJGOqtCrNUrOGjirT8J+DCKmJCROct6qXrMXWHBy6yBZytXqFOwbdz8Khx8yVgzBybR2iRB7baRrhrHLwOCZAACbibAAWcu4nyek4RCBjaUVAG2tSwAPziq7pOXceVg+eGDJGGdctbNRE2vRYWtfjf+Ys3JHj6CqcEnCaMsKOfv3gLm82+0bh6z5Zpqtw68sO0inGagENFwJwFGtv0rmkhXMhTwWLOstm1PTZogzApsKdqcIxS2iipHRm2d+t01WQZ7RaMFKz5KNGHcv38qvA8Kr0xvRcnjvKqgM+r13/oDls7xojHIzKeOyLXvHF+lcqBRO4exu+KaQLuxq0HMsaip1uyz5PISL9OZlUocY95Ib7SoG45CQxaKMNG6IeVoVcacjEr1OgaXhERAmjOtMFSvnoXdU14dY0IOJT1Ryiz0Z59phy0puP4O2z+lKzYUeWVQiyhPQE85JqA045FeObhYxescGbJnEbyfZ1NiaFj/za137XnuKGecghxRDGWpEkSq/5xm7dZ57Xi/d+9earyzmfJXddm3qo2sNo1SsqkwN7Ks47qm88e7zHLgUO4aiuvGjJmgn6vPk8QcAk/jC+JEn3o8NWGt2zKhL5SoWwh6d53vGzept8YHfzhbdUM1UHtFQBq06KGTB7XW0U3lKnSyeE4eAAJkAAJxBQCFHAxZSZi6TiiU8A1a1RZZgQPUOTRVByNoy1LrdubFkceOCwg0ecqaOpSGTRsut0Zfnhjk8CbVrFmVzl0JKxEuCbgsBhEjps9Qy4MikIYDbeD52+0f2fp0KaOuixCQDt0HSVv3vwVKW8iFq6Fvsml2kYY6f2niVJ4BX98al4QRhsgPJxghsp8WsiqrcHDq4jKgtFtPt4NBUUpjBjEG4QIhL3RIhJTZ6wya1zubB84jAshafD+JUyYQOVfrlm/12q42nxi0YvFLwz5TsXRCHvXMfXfRgUcwgAhJBEmivfXqKFM/ulDC1QIMYoGYfFuT8AZyV+1vLeR7652DgTs0tAAJRjKVPY2K8+PDYmje+dIurQpDXnfcE2IG8wf8m8Rgm0p4Bxx8gQBpz1DwoTxZbRfFxXloNfzT+vbhs00WxEaaImxb9t02bztiKpEauQ706FNbdVr8MixC2rjgUYCJEACnkKAAs5TZuotHKdWZc/00aIyhBL3HRvQVdD7CoZE/eMnLwtCqFCh7sKlW3apOxJwd6+sF+ySh8xeLUdPXLR7LbRXQL6Qd7f/Qqs0AYceWuilZc/QMBmNk7EAQrinPUOVPfSOQkgZnnnUuNBI87xp49Aabhv18qE4CUrRr1yzW1p28NN9HCMhlDHtazOkfxtB2FZk2ejx82X46P9CxjQBh5yzWfPM8+iSJk2svN+mfeC0cdWqXlIWzx2uwhFLV+4ol6781/wdx6CwBrxVCJWEx0vPjAo4VHbdvj5YefLg0TNqWu4bNjjQsw7FKOwJOLz3+D4aMeSbDerbWsZNWixDA+x/90yvp1XyhNcdnjNsLMB7NHvaYGlU7//t3QeUVFW2xvFtFhM6mBBRzKI4KmIgKZIEBAmSJecMgmQkB0kCknMQkCgIIgiKoBhQVBTFiIiYc0LFML71nX63raqu3FVd3e3/rDXrzdA3/m51v7trn7N3RVu15kkXgMQ6ggVwquapFguhRrFrL7ehA9u5Hoj9B4f+m6DiK4FZKt8KjVrX9/4HH8d6ya5ok74IiKaISb+ezZz3Tz/9Yp16jLFVa7b6nS9SAKcWGJvXT3GtR9TWQtNxg/W+C7wJnVPnDmyOHvPNsgMCCCCQxQIEcFkMzunSBLJDERPvWajSY7uWtaxCuRtN35R7Q5mPxcs2usIbKqUdOMIFcHqh+Hz/ppgft7KAQ0amTVvzAri7e0+wWfPWhD2W1h5pDZIqWqokdqihl15tq+v7+JMvrEX74elT4GK+2Bh28NoC6D50P5GGAkw1IQ+XUcyJAZwKe5yQ5/hIt2+zpvSzyhVLuABAzZvnLVofVSDxy6+/+U3Ni2UNXOBFeV+wqE+Y1kb6vhBrLZm+ANC/q2BJsBFtAKfM3cF31ru+aOdddkeGKpKhsM4/L7+beqxAadSQjhEDuIjoPhvUu7O8zZsx0O4bv8iG3Tcn6l21Jm/10tGuxYLW1irrW792eZs9dYCrrKm+a6rIGesIFsAl4ssA32mnvtfkBXCq7JnZEU0Ap3Oo4uqIQe1dg/Oho+b6TQ1VtnXT2kmuKq++EOvRd1L6Zen348G5Q12Rlxde3GPV6vTwKwYV6vq99hNqITN34TrXyoaBAAII5BQBAric8qRy0XVmpzYCvqx6gSx+w1VWtsz17gVML6gaqvBYuUbXDBXywgVwepH79uMn3NSnKTNW+E2nCvcoNX1ImQgNL4BTDzD1Ags3vPV8S1c8bq07jsiwqa5nwuhurt+dhr5x7tBtdJY1r/WauEcKML0L96aEKpukNUnBhtoIdO/c0GWANHUw0vjm2x+CNp2OtF9W/1zFN1QNUdNZy1RqZ4+vm2zHHnO0q4yotVCxjMwEcPp9UAZFxwicSvji0wtMJe6vL900aCNoXWO0AZy2VaXW6lVvMVXDVF/DaIemzemLFgX8kTJw0R5T291V7zabNaW/DR8930aNmx/Lri7gfmbLbDelefnqLa54T57jj7VKNbra8zvDZ+JDnShYAKcKjjWrlQl5bWee8R8X8OjLp+deSPubEjj+/tts4PCZ9sF+/+qNvgGcgqJDv/wWk4E2Pu7YY9w6yWgDOO2jdYIqzqIm9579GafntQWzBluZ0telX4PW6iqbX+Kmq9yaTVUxfenlN6163Z5RB8hpjdtHuuczfPQ8NxOBgQACCOQUAQK4nPKkcsl1ZsdG3qFoNR1n4ezBrsx/sNLikaZQvvr8Yrdvj74Tbcach2N+gl4Ap6IfKv4RbnjbKuDRNDrfoZc/9ZBTI3EV/Lin3wNRrUOL+YLD7OBly/QyecEV1cMeWi/AH7+3IZGnd8fSy3P5qh0TftxEH3DGA32scYMqLuuqbKUX/CoYaNFuWEyny0wApxNdfun5rnKjgskri9VLLxChXmZqwl3k+vohA+xYAjhvyma0fQJ9EfQiHimAO+aYY0L2YfQ91k8/HXJrsJo3rmqTx/eyAUOmu+A11qG/HU9umObWBWqMGKNpyvNiPUz69rl9DZwvjD5zyli2bD/MTj31JFs8d6gr5qNpnt7MAQVsGzc/575o01AfNxVziWUNrz43H771iAsWlSlVBVYGAgggkFMECOByypPKBdfpvYj63oqm8GiaXDSVCRNJoOyCqo/p/4mrtL2+xQ82brqhiHsR09ALrPpWeSNSAKdvd2+vVCrsOi4d69S8J9nYkV1dE+VRYxekL+L3gjKVRr+uZJOQJd017fPd11e7l5tgRSe8htAq9qFWBFrfl9VD5dw/eW+Dy0gWK9UkbEZSxSiqVw2eWVDT4t7dm9jp+U51lRkVoGgKn6YYhhp6IdT0rKeffdVlUrPzuPbqS+2pjTPc2sQri9V3n0s9390vLHHNsVUSXaXRox2ZDeB0HmV6Xnv9Pb/iEu/sXumyHhcVqRmy8E8sAZymlh54a537jKvJ9vc/ZJxmqKBq05YXMvyuRhPAdWhTx31uIg29xKvtQef2dWzUkM7WuccY1yMs1nFb+RtdBk+fUw1l1dt0Hun39yOWY/6bAjjPpU3zGjZ6eGf788//ueeQVhH4FmveboiVvOlqa928hitUUqNeTzddNdahDLIyyZoaXOCS26OadhnrOdgeAQQQSJYAAVyyZDmun0C/ns2tf6/mfv+mlzVVJZyzIL4mxZklfm7rXNd/LVxlRE1n08uzRuGidd06Fm94687Uz0nFRwKH17RXLxlqBK5m3cGGFwjqZf2ya+qkV0/z7QOnb6OXrdoSdH9NI9R6JbVf0Eu/71olFZpQZTZNodTUSk2xTNXwKhd27zPRVf2MdSjQXTJ/mJtKpSmgC5dsMBVviVSAoFKF4m5d0mOPP2d1GvWJ9bRZtr16mW1eP9m99E+dudJ6DZicfm4FYloDpMqQygpNmBJdVigRAVwwAPUk03UWuLhKyGm4sQRwOofXTmDClKU2YMgMv9MqSFO/twL5z7CCl1VzPQu9EU0AV67MDS4QjTR2v/6em5qnv1cqbqEvRNas2xZpt/Sfq5qi1uO1aHKH+zc1kS55039dL0gV6Og3eGrYLxtCnejfFMDpCxwFbir6sv/DT6xBswGuiI4a2/tWofQKnxz8+HNr33W0a3Yey2jXqpaNH9WNCpSxoLEtAghkGwECuGzzKHLvhXj/jzbwDqMtKZ8sGe+6NK3v5optMvRZ08J59bVS4Q+tnzrvsmp+l+JVMHvv/YOukEKw4gReA2sFb41bDswQxHmV9HTgrj3H+wWzXgD3xt59pmICjVsOyjDNR1kJlcHWwv/A/XVMr5WB1olpDU40w2uEHM22sWzjBZpq/KwG0LGMWtVvNWUSzz4rnwvEGrca6ErWr10+LmIAp15/WiOogjRqleA7FKAnewQrix54TpWgnzaxt2uLsO2Zl61Wg952+LB/b7tyZa53gahe5pWxVrXRcD2udA4vgNMU4EnTlvud9swzTrUBvVsGrUIZyeS7T55013HK2be6bGGwEWsAp6qFmnZ8zNFH2bUlGvt9WaI+hV9+uMn2H/jUZaN9h28AV612d5eR1b/JSo3QvT5wke7J+7nXc6zpXbe7z6kyt9GM4jcWsdlTBri1b199/Z116DbGNWDPe8qJNm5UN2tY9zZ3GE3969R9bEwtS/4NAZz+hnVoXdt6dW9seU85ybWjaNFuqPuCIFQVSvVxmzimu/uCSu1J+g+ZbocO/Rrxcel4Gx6eYDeXLGp9Bk62KTNWRtyHDRBAAIHsJEAAl52eRi68FpVMV7W0wBFvFiaRRJpGqQBHjbT1sqyphR98+IlbR6GXSfVR0rQ1jSatB5vW5/gONSnWS6qGsl5arP/2uwesZv2e6ZudW+BMW7n4PlfeWlMYn352t+19+wNXibBY0cKu0bFGsB5YXgA3aPgsU8+z3t0bu/0VjOlFX/t6hVa0/929J/r1PtJLzVcHHjc1GY5lnHNRlagLAcRyXK01ee/11e5ewlUv9D2m1s717NbY9dNTxnbk2PnpLQ+irUI5YfTd1qZFzQyNyhWg//h5xh5nsdxTpG2VfVWQE2ooINW6UAULGgpuVQI91Eto1cqlXIVKveB+8umXbvpxuCmx8fSBi3RPuuZ9b6yxb7/70QpeWjXk5rEGcDpQp3Z1bPSwzu7lXQ5eLy/vdy1YEO4FcAryA4c+M7EHcEe4AkKaPq2MuJzDDX2u7+7cwNTPTr9zW7budF8UqPiR7/Aac2v7b7790U2HXbR0Q8SG3jpGKgM4FarR37VYh9ataaptNEVM7qx+qw29t60VOv8c93dSa9rUSF7PTyNcG4FqVUq5Jt/KCH/62dduvwWLHw3bRsD7vdC1aR3nr78ejvX22B4BBBBIqQABXEr5c/fJe93d2FRxMnDEW9QjGVoqmNG9y13WtkVN0zqtwKF1VuMmLba167cHPX3dWuXtnm6N7OILz3WBibJlmi7pO/TyNahfK2vbolZ6UQPv56r+1mvAA7Zxc8Z1ab4BnK5Blk0aVnFZKG+oyfWIMfODthlQQ+ZdOxbFzJasAE4XouDjrnqVwq4L1FTJ2jXLuWlomuKqoV5lPfs/4NfyIFgAp30ULCug/uPPP+3CQgVM2S29ACqbogDJG3rZfvvVFTH7xLLDX3/9z029DRyqnti5XV23jidPnuNcoKLiMypbHyqj5R1D0/HmTb/Xit94lfsnBXCachlsHZBvHziVSvcd+fLlNfXbC9YHLtw9eg2xvfViobaNJ4BTUK399Nw1/bBVh+Hu8GlTGptb284jbcly//YcvgGcfl+9rKSOofWDsQZwqpy4YfX9LrA664JKQW9P11mx3A2u2IyqGOp3/LfDv7t+jXoWoUb+s/O5qaL6ckhDmf2Zc9fYzLmr0wvEBNs3VQFcstsI3HDdFXbfsE7uSzTvs6wm3IGVZ/WMValUv8vBGnnrCw3NqNC0SGVrVa1VgZymWftOt9U5lGGdP2OQ+xvTd9AUmzw9uX8DYvl7wbYIIIBAtAIEcNFKsV1MAsp4KPMROPQSrr5q2W0oeFMQphcWvVBrPZpeAnyLlmT2mvUSonNcecWFbj2MvtUO9+1+YADnnb/IFRfaRRcWdFPFDnz0T1GVzF5fVuyvoHLn9rSy7EWub+A3TU7/pqBfWVsFwxp6DlqTtGDxhgxFXIIFcF3a17NRQzNWmnQB8PC0bGkqh6bM6qVfPasUQGooEFKzaDVcjnZo3z49mliPLnelZ1g1TXfarJWmNZleNb7MroFTFVW9NB/+/XdTMkTrDxW46CW5UvUu9sxzu0NecjwBnA6mAHXdivF2ycUF3ZTjteu3WfvWdzovFU0JnOIbzRq4r7/5IcN1as3hFYUvsB9++NlNQdbURxW8adaoqru/YE23tU/jhpWtQZ3b0r9IUcC4fNVm18ri3fc/iuoRajpst04NrOwtxdz2yjotWbbJHpix3N7fl7FpdioDOHlH+lIh2E3ruejvaqgMnAKpkYM7WpcO9eyjg1+4L7LUZsQb+hugDJy+jFE1z+e3zjU1Y9c02VDr3fT8FBAqQNbntU2njOt+leV7fecS++rr78m+RfVpZSMEEMiOAgRw2fGp5IJr8ooc+N6KijKE+3Y6F9x2Qm8hVACX0JOk4GDjRnZ1L+TTZ682fdvuO6668iLb8cRslxXSC/HD657K8A26t32wAE4FELTuSRkSvfQqUFZWRpmO7DC8huZq56DMmdbehAuCIl2zpvh27VjfWjWt7l6WX9n9tt1csW16sKtKe+qr9dLLe900YN+hF2xlqJT9+znEuiEFU2+9kjFDoaBKFU3DjXgDOB3zzDNOcwVqFIB6w+v9FXhOBQIqRqFiNfWa9LM9b+5zm5QpXdTy5TvVBQW+hX28/fU5UZ+7YGPDph3Wtef9fhUvleV5Y9cyN31ZQ58rrUVcvvqJqNZdBTuPpkArC1qrehn3mf3119/cFxsKenxHqgI4TQFX1dh4plAqy6wp0+GmUKoZe/Mm1Wz0+IUZpjE2vauKTZvYx7U+USZbAd3PP//iitgEe56+XpUrlrDGDSq7z6g3DVM/12dl7Iiu1q7VnWTfIv1x4ecIIJCtBQjgsvXjybkXt+fFh+zCCwqk30CfgUxVifVp5tYATlMkX9u51PIcf5xddk1t++77n/xoFDT4VvsM5aYphJPG9rCntu+y3vdOiZU3Jdtrym7DepVsxeotLgOQqKF1VZ3b13UVExX8JnJomnDevCe55/XjT4fcNOFdr7wV8RQPLRjumn237TIqrgbWCmhKl7ja9DKuVhrhWkVEvJggGxx5xBE2fHB7O+nEPC7jpkBDGW0FKztfeiPoITWFWdP9NB1VwXKihgKZLu3r2qeffm3jJ6dVvfUdur7nts5xa3VLV2gT1Wk1hVTTCl/bsy/mHnQK7h9ZMc6tAVZQHM9MhDNOP9WWLRzh1vvVbdw3qmv23UgZ2CXz/ul7qEI8qlicmX5tCr7ffnWl+xxfdUMD1r7F/FTYAQEEsosAAVx2eRK57DpKlbjapk/sYyeffKINHTU74S9fuYwr6O3k1gDu3/DsuEcEEEAAAQQQQCBZAgRwyZLluAhkUoAALpOA7I4AAggggAACCORCAQK4XPhQuaXcIaAKhYXOz2+bn9jpVz0xd9wdd4EAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRYx8EEEAAAQQQQAABBBBAIAUCBHApQOeUCCCAAAIIIIAAAggggEA8AgRw8aixDwIIIIAAAggggAACCCCQAgECuBSgc0oEEEAAAQQQQAABBBBAIB4BArh41NgHAQQQQAABBBBAAAEEEEiBAAFcCtA5JQIIIIAAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRYx8EEEAAAQQQQAABBBBAIAUCBHApQOeUCCCAAAIIIIAAAggggEA8AgRw8aixDwIIIIAAAggggAACCCCQAgECuBSgc0oEEEAAAQQQQAABBBBAIB4BArh41NgHAQQQQAABBBBAAAEEEEiBAAFcCtA5JQIIIIAAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRYx8EEEAAAQQQQAABBBBAIAUCBHApQOeUCCCAAAIIIIAAAggggEA8AgRw8aixDwIIIIAAAggggAACCCCQAgECuBSgc0oEEEAAAQQQQAABBBBAIB4BArh41NgHAQQQQAABBBBAAAEEEEiBAAFcCtA5JQIIIIAAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRY59cJ3BDsSvtzbc+sEOHfvNh2qMAACAASURBVA15bxcUOseOOOII+2D/JyG3OenEPFb48gvspZf35jojbggBBBBAAAEEEEAg9QIEcKl/BlxBigUWzhpktWuWsx9+/NkKX1vX/d/AUaPaLbZ47lAXwLVoN8yWr96SYZu8p5xkb726wvR/V6150pq2GZLiO+P0CCCAAAIIIIAAArlNgAAutz1R7idmgf17H7EzzzjN7Vfxjs727POvZTjG2BFdrEOb2u7f5y58xLrcMz7DNiWLX22b1012//7lV9/ZBVdUj/la2AEBBBBAAAEEEEAAgXACBHB8Pv71As0aVbX+vZrbs8+/bs3bDbW///47g0nhywrZ7Kn9XQauXZdRtufNfRm20c8WzBxoxW+8ykaMmW8Ll2z419sCgAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0f7f4FSJa626RP72Mknn2hDR822eYvWY5ODBY4//lgrWOAsO/TLb/bpZ1/l4Dvh0hEILnDEEUfY33//neN4zsl/hp14wvF28JMv7Lfffs9x188FI4AAAgjELkAAF7sZe0QhsOfFh+zCCwqkb9ln4BSbPH1FFHuySXYUmDimu7VuXsP6D55uE6c+FPUlnn1WPmvZtLp99vnXNm/Ruqj2Oz1fXqtY7iYrfuNV1r3PRPvjjz+j2i8rNjr22GNsxxOz7aODn1uDZgNCXtsJJxxvO7fNt48+/tyq1e5h//vf/2K6vMsvPd8OHPzcfv31sNtvzPDOzqRRy3vtjb0fuH+79upL7b33D9rPh35NP3b/Xi3sllLX2six823bM6/EdM4jjzzStm2a7oL0yjW6xrRvPBvrOe/cvsBe2f2O1W3cN2zwpODq8UcesLx5T7KmrQfb2+8eiOeUQfe54Pz8NnxQeyt6zeVWqnxr++bbHxJ2bB3oqKOOsqc3z7SNW563CZOX2iGf5+V7oiOOMJs2sY9dcfkF1qn7GNvz5r6oruPuTg3c9Y+duNgGj5gV1T5shAACCCCQswUI4HL288u2V3/g7XV2er5T/a6v972TbcqMldn2mrmw4AJXXXmRPfvkHPdif+l/77Sffv4lLNWZZ5zmXobr3VnBat5Rxo455mj766+/rEyl9vbK7rf99j3j9FPt3AJnWoFzzrQrC19olSoUt2JFC5uCCY1QAePc6QOsQtkbE/rInt7xqjVqOTDsMUsWv9o2r5tsr772jnvZDzUqVyxhq5bcZztfesPKVukQ03XeWaOsLZo92PoOnGoPTF/u9n1wzhCrVf1Wu7liW3v51bcs33/y2ms7l9pbb++3CtU6pR9/5eJRVuW2klarQS97/IkXYjqvAo0fP3/KfvzpkOW/sLLfvvNm3GsF8p8R0/G08bff/egC3WCjT4+mdm+flrb+sWesftP+YY99+aWF7OVnF9kPP/5s519+R0KDei8o1+dv9dqt1qT14JjvM9wO1aqUtmULR9gXX35rl19bx37//Q+3eaHz89vHn3xpf/75l/vfClK3PjbNrr/uCvdMn9+5J6rrOOXkE+2d11bZEWZ2xXX1nDkDAQQQQCB3CxDA5e7nm7K7a9Oipk0YfXeG8/fs/4BNm7UqZdeVjBNXrVzK/nPaKfbcztft/X0fJ+MUKT3mprUPWOmS19iEKUttwJAZQa9FwVrtmmXt2qsvs/xnn56+jYKBh1Y8brPnr7W33vnQ/bsya7On9Ldz8p9uxx13bIbjaZ+ntu9yAYj+8/kX32TYRpmmG6+/MqJL2VuKuW22bt8VcVsFl4NHzA67nRd0jBq3wIaPnhdy2/vv62ZtW9ay+8YvtGH3zY14bt8Njj76KHvthSWWJ8/xdsV1dd20uMAAbuqEXtasUVWrVL2LPfPc7vTdFeQo2ClyfX3b/+GnMZ03XAD3+s6ldtGF58Z0PG2szOvFV9XKsJ+C+nd2r7KzzvyPffnVdyGzXg8/ss1GjZtnIwd3tC4d6tmff/5p333/c8jreH/fR1a+6j8BbbQXrC8cnto4zWXLFPxufnJntLuG3U5B2fpV99utN19nw0fPt1Hj5rvtNTtBsxT02b6oSE33b/EGcArchg1qZ3d3akgWLiFPjYMggAAC2V+AAC77P6Mce4W97m5sg/plzFL06DvRZsx5OFvdl17cNBWpXu0KdtEFBVzWSKNu4362cfNzYa/1+afm2X+LXOymPc1/8NFsdV+ZvRgFZJoyqKyBvt3XC3mwsXjuUJdt07f/u155y156+U17cddeF9T+8stvfrtUrljcVi0ZbV9/8729/c6H9tHHX7gpiQc//sLeff8j2/nSmy5jl4jx/adb3WFOPadsIg5nj66e4F7Gb63c3l7c9WbIY3pTiAMDrGgv4q56lWzWlH7mZa19AzhNtdu2aYatWrPVmrUdkn5IBQBff7TZBQKnn1cx5mmb0QRwygB+8WXGgDrwvpQVeumZhSEDuI5t67hpoT///IvL6Cro1zRTZaR8x8o1T9qCxY/aS08vMGXKlPnUutpLLz7PfvvtsL35Vtp0Um8c+Ohza9xqULTMftvpb5X+ZimQL12hTVzHCNzJyxzqWgsXreuCVY0WTara5PG97NGNz1i9JmnZx3gDOO2rdXBv7lpmhw//ThYuIU+OgyCAAALZW4AALns/nxx/dV7GIvBGtLZp5tzsE8TdN7STdW5f112mvuXXdEGNZm2GRPw2PjcHcNMn9bEmDavYgw89Zu263Bfy8+gFcJoipkAs3PACuOGj59qocQtj/owruLmg0DlR7de7exO33ej7F0W1vbJWS5Zv8ttWGTEFN8ccfZTt3/uIHf79D7v06jvtr7/+WdemANcrgOFlVxS4Frjk9vQpc1FdwP9vpCmk0yb2ssXLNtqO517zy8D99NMh69ezufUdNNUvoNa6uZeffdAFRctWbQ55uolTlwXNzkUTwClbFCwjGngyBXCffbAxaACn4Ou5rXNNhXG01u65nXvshW3z3NqvGvXusS1bX0w/nIKatcvHWvlbb7DZ89dYt14TXNZW6wsvurCAVbyjc9iphgr6NEU3mnH8cce6c52T/0z3ZczTz74azW4u6PSmRfruoEB7/Ki0TOyipRusfdfR7sf69/kzBlntmuVswJB/1pRmJoDTMfW72rhBFbJwUT01NkIAAQRytgABXM5+fjni6vv1bGaa8hY4uvW6302tS/XQC+EX+ze5rNv02attxJh59t33P0V9Wbk1gNNL+AdvrrU8eY6zG25uliHb4QsUTwA3Ysx8V2wj1qEpad7UyFj3jbS9plpWq93dbzOtZdOatnBDmdoNm3a4TTq1q2Ojh3WOdCr3812v7LVbbmuXvq3MO7VL+yLBd2j9W+HLCtn8B9fbp5/5Z0FXPvyEvbfvoDVuUNlmPNA34nnLV+2YHvQoc1y1cmm3z5FHHmF972nmsjjjJi1x//b6G+/Zoxt3mDeFMrMBnIJhZQ+V2Z278BHrcs94dx5VrX38kckuE1usdNP0Qh+nnHyCrVx8n116yfl2bfG77Psf0qZP3lKqqD22ZqK9894Bu6lMi5BB8nXXFnYFRJI1FLQrKxm4tlPn07N89/XVdtKJeaz4rS3Si5IoUNv3xhrTWtFyt3d06yQ1MhPAaf8iV1xkO7fPNwX4l15d261lZCCAAAII5E4BArjc+Vyz3V0pY9C/V3O/69LLj4K4OQseSen1epkL9xIUx9qh3BrA3V6plK14cKTLqCmzFm7EE8CNHLvABcuxDi+AU6C15833w+7+/p60LG+wdVi+O1515cVurVK4AE6ZJwU3vkOFek48MY+baqsATsGupk9qSqAycKHK0h911JF2/PHH2Usv77Uylf4J4Aqee5a9/WpshX7qNOprjz3+rE0ef4+1aHKHTZ250nb6TO+8vVJJV1BGX5Zovdy2p19OX3PWqH5lmzk5dNCnbGSbTiPTAzgFKsGyTYEPQYFasaJXZMjAXXzRufbI8nHmfl6qqV9BHBWmqVa5tLXvNtoVE9FQUKrA5tkXXrd9H/yzvtTLOKmQjbLkvusA/Z/rRbZ80Ui/yytwzhl29NFH2yef/lNAJNJnUM9K6/V0777TiPV86zXpl14Z1DuO1qUNHtDG7unayLY987LdXuuf9cAKxHftSMsI6/Pk+xnRl0m6X50nWOXSdRt2WPN2/0yb9b1u7ff2qytcQSBNy/S+UIh0b/wcAQQQQCDnCRDA5bxnlmOveEDvFu4bft+hlxd9Cx9tiflk3LyqvikroJE3/63pVeGiPVduDeDGjuhiHdrUdtP42nYeFZbDC+BUOe+3gCDH21ElzrU+zptCGU+BDx3LC+BKlW9ln33+jcveBI533j3gMh6+a+CuvuoSu+Tighm2fWr7y3ZewbNsxxNzwgZwmu4XOK1O1RkVHHkBXM9ujWxw/zYRq096awu1jk7r6byhF/jiNxRJ/981qpWxVs2q24GPPrNC559js+atsUce3e53D7pPlb5/9fnFbm3Yf29s6BfsjBzSwbp2qJ9heqIOctkl51vZMmmFXjRtU+vStF5rwNC03wc5KqhNZBETBbmFzsufXtTGu5m8p5zk1j56bRF0PT99sc0FOCefVSZDMKwpmL///mdMa/28wK9R/SrWvusoe/ChjVH9mg/u39p6dmts02attp79J0XcR9VKN62dZEcceaQNGjrTxk9Oy2jq/F5BFt1XYIDvVV8N9jPtv3b99pBr/HTsmZP7maYYq2WLWrcwEEAAAQRypwABXO58rtn2rgb2bWXeuiTvItOCuHFZ2uxbvclOO/VkdwkFzz3TWjWr4f770FFz/NY2BUJ++90PGa4zmgCuQtkbTC91qnanipV66X5tz7u2cfPz7uU81NC3/rq2a/57qQsy9M28MmIqEKIpaJFK+mfmg6DpWJqWpQxM4LqwwON6AVy483ml7b0AToHh3IWRe8P9+OPPfn2/fAO4M04/zdYsG5vhtPdPXmr3Dp3hF8ApOFHxjMBR7vYOLhOS2QDu+Z2v2xu7lrmpcyqCoYIboYZaJWx/fGbYQE9l7Z/aON1WPPyEKbjRNEoNVebU2qm9b+9PP7wCNwVwGloX9uzzr6X/zAsyryvZOGz/tGjWwCk4DFwDV7VSKdM5Vj78pHXsPsbvlvW7HVjExttABsoYhhrKKGn9pcaipY+FzGaq9/b9k5f4Ba3hPocK5LUG76139rssYKShoFoVM/P95xQrWqKxm64abuhZaU3feQXPNrUFHzhkht0/ZanbRb/Pb+5abscdd4z7jOx+/d30Q2V2CqUO1KRhZZs+qa+9tuc9K1G2ZaRb4+cIIIAAAjlUgAAuhz64nHzZXrU333vQi16n7mNdxbmsGIGNxqM9p9bc6CXOd4QL4FREQSXlmzeuFvQU6mvVot0w27Tl+Qw/18urGmgHK7WvjbVvvcb9Qk4fi/aegm2nc35zcIubzqX71X2HG14Ap55fgS/4HVrXtjq1yqX3JvMCuGivL3AKmm8A9+pr/7wABztetFUo1RQ7swFc6RLXuEI4+gx3vNs/kAm8thuKXemCM2UstSYtcGiq4dpl40wNwYuWaGSTx/d0AZyCUmVFtX5KQY1aGchbU/WGDEirnBg4NXXj2kl2c8lr7cxCt4VsIq39ognggq2Bu+P2m+2hBcNt6YrHrXXHEdE+Vqtbq7zNnxm+7140B9PfDgWtz73wejSbu8+0smP6QkXTTyNVmW1Yt6LNnjrAnnjqRate956w51AWbM60AVa/dkW3nW8Ap5+NGJyWDQ3Wby4RAZwKwaj6p6Zf5itYIarprlGhsRECCCCAQLYSIIDLVo/j33MxetnUS6fv0IuYXnwXLtmQdAj1LFOmRENT03p0ucv99649xwedkqUXblV4iyWA03SoLesn2003XOWmuA0cNtMFW19++a1dfFFBq1+7grVvfaebuhZ432VKF3VTBfUzVRRct+EZU4ZHlQ+VFevdo4kr5KCy/Tfe0tw+/eyrhJppHc27r6X16ytwcZX04hGhThJuDZxX4TMwA/fB/k9c2wDfoayFXkJVzMLLMGmdm29/NhXeOO3UU1xDa5VPb9ro9gyXpabcylT5BnC3lb/Jbi51bYZtlyzb5M6nghffff+jvf6G/7o6r4hJpCmU1aqUMgUzV9/Y0L76+vuwz+OmG4rYkxumuaDDtxG3dtK6tPGjurqiOg2b3+uCe982Ah8d/MwFCarMqKnHnXuMcy/tctOLu6ZlqjiGN5SZU8BX4OKMTr4XGS6A07o8rc+78MoariG174g3gFNxj7POyhfS6agjj3RZRf1duLZ4I/ufUm0hhtazqV9etMO7ZmUqFfyFGgqqFGgrW6hpslprGG7oi4oFMwe5RuMqTlKyxDXpGTg9A2Xfjj32aJf5C8zkJSKAU4P3j95Z78xUyCTRfxei9WU7BBBAAIHkChDAJdeXo4cRGHpv2/TAydtMLx5N2wxJL2KQFYDRrIHz+nLFEsBp7dKksT1c8KYgK1gPtTtrlLVFswe7/lCFi9ZJfwlVE3Q1Qw9WVEMmyuw9++Qc99Leb9A0mzRtWUKpNGVTx1dLhbz5I/dQiyeAGzPhQRsy0r9xtmc2Y85q69E38lojBULjRnbNcO+anqleg74BXLtWtVxwFDj6DpwaNosZbQD31NO7TEU1tEZNrQQ0lS7UNEplfzavm+ymOvoGEHrmevb6zKg4hjJ0GoGNvPVvmg66ZNlGF3iuWznebavKg+XKFLNzLr49PdumCqv7D3xmN5XxLyIU6BAsgDv7rHwuw3fw3Ufd1F/dW+Aax4IFzrISN/3XTQV+4f8rKvoe+9nnX3fTfWMdkdbAxXo83+11r3teXOqmOZat0iFkTz9NeX5myyz78MCnVuT6BiGncXq/k/v3rrW8p5xsXe4ZawXPPdt63t04PYDTl0BPbphqi5ZutI53p7UU8B2JCOB0jO8/fdJlU0uWa+WmUjIQQAABBHKfAAFc7numOeqOhg9qZ3d3auh3zfrW+JL/3pll95GMAE7ZhTd2LbczTj/V2ne9z013CzX08l2uzPV2T79Jro2BhrduSdmXOxv2Drqrsgj6j9bSqWhBIoeyO4+sGOde3jVtLtJIVQAX6bq8dgMKhOMdXgA3duKDrvG471DAdeP1RdKLmOhnRa640K1v+/GnX6xU+dau2mHg0JRGTW3cvuMVq1KzW/qPlaVZvXS0NWs71G9Nl1oT3FisiA0aMcuUufQdmr6oz0HN+j1dRnLqhF5Wv2l/W//YM+at93rs8eesTqM+YQm8AE7rKrXuUU2tVbRFXxAoEPaa28fq6FsER0HtaaelrT2NNHQ9Kp6iL3W09i5YVcZgx/j22x+jKqHftUM9GzkkrYz/bdW7uKyZ71AwpGd/W4Xidu+Q6TZhykNhL1nbv/j0AlNRnF4DHjBNFfcN4LTz3Z0amJqTBzYs188SFcCp8qrW2tWo19NN+2QggAACCOQ+AQK43PdMc9Qd5dYAzutTpZfOcy6qErbYiKZRKoukl2VN09PwLe+uhufKVkXTQDlRD1+Bj6ZwaipgocKhC01458uqAE4Ztzo1yyXqNoMeRy/YL7yY1ptLI9Y+cNpnxgNpTZWVgdMat8DpfZ7vk9tesjvq9Ah7P316NLVbShd100i9nmG+Oyj7NXJwB9eOQF8YqHffpi0vuICte+eGNmxgO1eRMFKQr+DvvdfTvkDQUOCk/WbOXeMCOH0WqtTMmO289ZZirnqlphcOGj4rw72op6KXfe7WsYGNGPxP1c1EP0jNslSVSO+LkHDHVxZbWVB9gaNp2x26+WfFlLFVI+633/3QBeK//no44uVqmq4akev3PlgAF+4AiQrgPnzrEdNUSrXZeOrplyNeMxsggAACCOQ8AQK4nPfMcs0V68VSL5i+I7dMofSmAiro6n3v5LDP7PJLC7n2Ch9/8oVdds0/VRJ9qybqhXDnS2/a5idfcGuiAtdpJfpDoXVmKs6i855y9q1hp47p3MoaVapQ3GV+vvr6O7/Lad/qTqtd07eISQkXFMUzhVJVC9XvLJlDa8p821p4AZz+bd8H/tmvuneWd1ku30beujYVgXni0Smu6qjWMLZsP9zvkvWi//BDY9w6Pa0N9IayTqp26A1NI3xh23z7z2kn2/Wlm7k1er5DVUnV3Prkk05I/5Jg09oHrMRNV7nPknqrKdun/x4sE6hKl9WqlLYqt5Vw16ogQr+Dqnw5ftIS17xdPe2U1Xnm2d1WqUaXDPSxrIGrWO5G07ThzA5Nada1PrRys2s94DuWr9riph5HMxS07nhitp15xn9c1mzarLR1n1pnuv3xGe4cCozj+X0LFsDpi51QQ0VOxt/XzS67pJC7ljf3fhB0U1XCVRXbYEOfH02h1HVryuwbIY4RjQ3bIIAAAghkXwECuOz7bHL1laW6iIkvbjKmUHqFO2J5iHpx/s+55f0qxym70q5lLatQ7sb0ois6pjIampqmF06tn0v08F7addzzL69mX3/zQ9hTeC0Hwm3kFTFR3zRNER0+eq6NGrfQb5dIa+A0BU/Tw6IZo4Z2dEGlWkOsWbctml3cNirSoQqf3oh2DVxg4+RzC5zp1hGq2XfL9sNs2aot6cescltJW7l4lMtaqRKiNzT9cuf2BVFfq2/W1tvJq+6oKZ+qeKhS9b695nwPvmTeUFOvOQ0FeCpeo3V0+S/8Z62gN91T69jUszFwVK96iy2dPyzmKpRR32TAhgpOfvhsqyvwE/j7Es8xS5W4xjasvt/tqiqTL7z0plv3VviyC6zPwMk2ZUZsjdW9awgM4LwpqvFco+8+4aZV63dDGVj9LVHz+qzM2mf2vtgfAQQQQCB6AQK46K3YMkEC2aGNgO+tJCOA63tPUxvQu6Xt//BTGzcprT9XNEOZj2B9s44++igrfsNVVrbM9aYshoqMaCjY0LTLSGX+ozm37zZa76Q2Anrp1Df5ob7x9/b5dN9jdkKe491LfKgxbdZKlxFQqX0FuCoe8sD05X6bRwrgor0PZVb2vrzcZacuv7Z2TBUKA88RbwCn43jZqe9/+MlVHvSmEnpBz9r12+yuFv+U0lelx/uG/lNBUtkxBSpaz+a7Buzkk0906yaDrW3TZ0VVIxU46jmGmz6pYFrTUvW5e+nlvfbDZ09lCOC8rGfP/mkZKq83m+ekpuRaC6jpnYFtQLbveDVsn8Non6fvdokO4HTsjm1r25jhXVxV121Pv+xaNgRmR2O91sAATs/xwTmDwx7m5lJFXbEYBebffhv8S5Pdr71rY0P8TfEaxP/xxx+Wr2DFDNnJWO+B7RFAAAEEsqcAAVz2fC659qqySyNvX+BkBHBqU7Bw1mD3Qljw0qoJf56a4rhw9mBTA+d9H3zsijwkemzbNMOtD+rW636bPX9tyMOrYMsXHz5ub+zd56ptRhre1FllcwKrE0YbwKk/msq7hxpq0u5lk9QiIJqhdVDeFDrf7TMTwOk4s6f2t4Z1b7PxDyxxrSQ0vCyZpgC26uA/vdI7d807ypjWFi5fvcX1CvQd6g/YunkNq31Xb9cMPnCoAIkCCI3LrqkdtGhG4D6h2giMGtLRunSo59bqac3eoa+ejobTbdOk9eCgFWV1zAsKnRP1cQI3VGCroazn//6X1l5AWSf5Rmq0Heykgf3b9MWIvrjITHY7FWvgvHV7L7y4x6+VRNzQ7IgAAgggkC0F+er6XQAADpFJREFUCOCy5WPJnRc1oHcLt9bLd+ilSy/yvmuOsvrukxHAedX/dC/X3HRX2JdKFSwpW6aYvfX2fhs7cbEpg/LAuHvcOhZN/wvWfkDH9XqJ6b9fWayefXjgs4TSedNcNf2wUcvQDZcLX1bIdu1YFPUUullT+pnWMAV7uY82gPOCRq1/+uZb/3VhKuQhu8CX79Pz5XXZLBXj0OfOGyfkOc5OOukElykNVoQjswGcpn02qFvRFQPxzqss1vRJfWzeovXWucfYDM9NmbNXnn3Qzsl/ul19011+AVjxG6+yLeunuKxo8VtbBH3mXj8yVZQsfG0dUyGRSCNUAPfEo1NN5/QCQQVw+mLCtzdf4LHvuL2061MXKoDT1FIvixzpuqL9uWzV/y5YoZdIx8h7yok2YUx3U0ZS45dfDtvA4TOiKoYS6thZHcDpM7947hA3JXb0/Q/a0FH+LToiGfBzBBBAAIGcI0AAl3OeVY6+0n49m1v/Xv7ZGb1wKbszZ0HsPaISiZGMAE7XpwyRej+tWvOk620XbFx04bn24vb5dvzxx/llup7bOtcVxwiX/brkooK2+4Ul7rCFi9Z1zagTOaKtRFm5YlpRkmBTIoNdz9rlY12/NK3LUtNp3xFrAPf+voMuwPEdn+/fZHmOPzZD/zpNqTz/vPxufZfWeXnDqwKarAAumIHX700ZP01NDBwd2tS2sSO6uJYBvQZMts1P7nTT4a69+lJbv2qCKeisUqubX7VM7xhqRfDi0wtdRUoN9W5TQ/BII1gAp2b3B99db4cP/2FnFrrNHUIBnD5r+syFGl6WNVQAp6BWX1R4QwFrYBn/UMdWoKJ+a/q/ajeiQi7e0JTZwKImke67TOmiNnNyXzu3wFmukNDTz+52GVMNFUNp1+W+oAVgIh03FQEcFSgjPRV+jgACCOQOAQK43PEcs/Vd9OvZzPr3ypgpiDQ1L6tuKlkBnNajqBiCXjRVsEPfivuuY1Kp72ULR7gmyJoGWaJsS/v50K/utj0zZZ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",Nn="data:image/png;base64,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",Oe="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAYAAABXAvmHAAAFTklEQVRoQ91aS4xURRQ993UzUUZcqFEc4meh0cQFSlwgrvAHSgQWhOhCk4GZqmdw+ERUWDkrBMUBnIzzqqYjcTaaGBLFxA8MjIk/3PhZCCa6UAyKC11ARnDo6Wvu+HrS0/R7r96nWVBJpxfv3nPPrbp169aHUEAzxsxl5gcB3AdgAREtkH8AXSH87wBOMfMp+QfwFREd0Vr/k9c8ZQUwxixi5mWe5y1l5qUAyimxqkQ0XqvVxonoE631Nyn1p8VTO7B///75Fy5c2MzMWwB0ZDHaQmeSiPbMmTNnb3d39+k0mKkcMMZsBiC/W9IYSSH7K4C9Wuu9rjpODoyMjNxQq9VGADzuCpxT7gPP83p7e3v/TMJJdCAIgoVEdBDAzUlgBX8/ycwrfd//Pg431gFr7RPM/HbBxFLBEdGTSql3opQiHQiCoI+IXk9lrU3CzLzR9/3BVvAtHbDWPsrMH7aJTyZYInpMKfVRs/JFDlQqlduq1eoxIro2k6U2KTHzX+VyeXFPT8/PjSYucsBae4iZH24Tj1ywRHRYKfVIpANhnt+Ty0r7lbc0rhMzI2CMuRHAlwBubT+HXBZ+AbBEa/3HrFLCWruTmV/MBZ1N+TiAdyNUX2qZeYh2KaW2zThQqVTumZqaOlZgbePqynEiWquU+qFZwRjzBoBnIoAmS6WSTOhvp0PIGPMcgN2uVguSiyQfBIFPRMMJdrZqrV+bdsBa+x4zryqImAtMJHlr7RJmPgxgbhwQEb2vlFpNAwMDV3Z2dp7JUM+7EG0lE0l+dHS089y5c4dkkjqAVycmJq4ma+0yZv7YQaEIkUjyAh4EwTAR+a6GiGg5BUGwg4i2uyrlkEsi7xL3s8wz88syAm8x89M5iLmoxpIP4348bRYkolEyxowBkA25S1sLQJbyHhfhUCaWvMT9+fPnx5h5cQrMuugRceAEgDsdlKfTVph2rwMgC4mk37gWSz5L3DcZ+1EckAw0L44FM4/4vq+aZfr7+zu6urq2MbPMoSuavieSt9b6zJyU7+OonXVygIjWKKUOxCGFhaA4cj0AF/KS7z8D4DmMfpTIGdcQOgtgldZaJlpss9auA/B1q/Kgrhjm+08B3JuEF/ediE44T2IikiOP1Uqp7/IYDePeElFvXhwAY2nTqJCXkTiZ1XgBcT9jmplHxYEd4SR04kRER0ul0ur169dLWKVqYb7/IpVSjHB9IctSShzQWq9JQySMeyG/MI1ewhxYnqeYq2itnePYGPMmgO6iyAP4v5gTwBzl9Cta68RdnDHmWQAtz3WyOjRTTodZYSsRvZoRbLvWemeU7vDw8P2e532eETtSjZmf931/d31HtkguHdIWUw3oWmttm60NDQ1dVS6XZat6V8EOTMplitwpNJ5K7ALwQg5Da7XWszbnxphRAE/lwIxSnQnd5mMVGYWsZ///MvMK3/ePiFVjjFyADLSBvCyo0vuzj1VCo3J5kflgi5lPE9EKIprHzFIqtKO1PtiqWzLGyIb6oRyW5ZynBOCOHBhRqmNa61nHnhedjQZBcDsRycS7pg0E8kD+LZse3/d/agS5/I7XG0JpI4B9ebqsQN1NWuuWly2X7xVTvfestXfXarWDRHRTgT2aCMXMv3metzJp/5F4SymWhoaG5pfLZVlpL9k1a7VaVRs2bEi89HZyIOwu2b1tukQX3TL3OHGYsjw1GBwc7Oro6Kg7UthTA7mhn5yc3NfX1ycPQ5xbmhGYBSqPPYhINkMPAJDHHrJ4pWlTAOShx1FmvnSPPVoxbHxu43neAmauP7eRf2nTz2yI6FStViv0uc1/ndZCH8rgOooAAAAASUVORK5CYII=",Ve="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAJYAAACWCAYAAAA8AXHiAAAAAXNSR0IArs4c6QAAIABJREFUeF7s/QV4VFfXBgzfMzFIQnB3h1IKVCjFaYu0WHF31wR3p4I7Ce7uWtzdpaVoBXcLkfHvutc+Z+bMJKHt8z7v/7/fdX3nevpAyMw5++y99pJ73Wttk9XpcvnDAcAEwAxeJrjUj//x9T/68n/81P/JF12GL///dfT/ZwbyT2ZTDdbl0mfMCRdMsJhMMDmcdpcJTgB+gEkJFuCESROyf3L7/+8z/8UZ+H+RYLmogNzS4oLJRcFywgk/mJxOq6aeKFgeyfvfESwOhP/xOf9WL+jfTWwR/5P7/ReF4X/1Vsb3/k/ek0qDl640/nuD1QWLWkosnYuWj88zUcicLvcmEZXmgsnkBEx+mppTvzW5hY6qj5/5e8Hw/Rx/1i/9d0ndx/hZpW6Tfqb+Wd6L//l+9+/Gmti4fN/Zdzl8n/F3y2Ucv+9cGr/r+55qmnWTI6Nyv5/veyV1X3UP73nRP5vYvBrfzfcZ+ufdn6EwUVYoOyalo0T8nfonnEYdrD6X1PV3IuV9pyTuognK3wmWLiiUSaMsGwXT6XS+V9DfJ1ieSRTPkhIsz/kngq9/12w2y+fVd8zucRoF/n2L5T1+fXZ9N7SvP6Nrfs/8GueH9+QK0/9R7+M7f+pn339PsFo+3/PdBMptojSZ5YbUWVRJbsGisLmcTuw7eBBr12+Ev3uyuGhUo0pj6ErHOGn6wzwLqHaHvJym7RwOB/z8/LR7OOHv74cB/fshR47siUoev7t58xZYrVZkzZoVxYoXx88/74LdbkfhwoWQJk1qHD9+EmazCSVLfoa42HhcunQR/v7+qFmzFoKDk7vN7vuUK59z9949HD16Qu5VuvQXyJkzh9p17/mi/v6vXr3C3r37ZFzFihVDaGgojhw9ioCAQHzxxed49uw5bt26BbvdgYYN6yMwMBBmH+2vT8DzZ8+wd/8BOB1OFCteDB8WKeK1mc6cPYfbt2/Ls+rVq4fjx0/gyZMnSJ06NapWrYwAf3/3XG7YsAnbd+wQbSJ2yC34am107W42UwzUplD/GQXQBD8/s3sdjQvFeXOaAH59zsyZCAjgs01wmpQTZXK6HNpWUOuwet0GzJwzDwFQO4/CxgnnA2UyKVyyG5S465NP4XO5KEhGAVTCxc84XbyPnwwGTheCkyXDjBlTUCB/Ps3f4nc9foCavAZ4/eoNypYpgy7du6B581YyqY0bN0bhQgUwYuRo+e6gQf3w/NlzREXNkYnYsGE9MmRIr2y9W70m9IrFe3G5cPjQYfQfOAjJkiXH0CGDULlyZfUe7xEuJVgm3Lp9C106d0VcXBzad2iPHNmzY9jwEbKJRo4cgcuXL2PDho3gxtqzexdShKVIUrCuXr2Krt16wul0oEOHDmjdqqWXYE2YOAkbN26SOfj55x0YPnwkLl26hFy5cmHBgnlInizI7bvOjozCsmUr4dLWzuxyweFQG9qopbm2vLhO/HdqX2XMlPblmvJV+e92h12pOF1Z8GN+JhzZtxfJKFjavWTeXB5jKd9Zu249Zs2eK6bQz2ym5Cl3Wz5thoPCwweZzCIsXiZDVko3S1rEQBNLGVTbhuIqA6ZmmT1rGgoUyJuoY8nJq127Dl48f4mKFSugW4+uaNKkGaxWO5o2bYIPChfEkKHD4O8fiMGDBuDZ82eYMTsKyQIDsGnDemTMmE7dV5MsZejUrvR2ZF3Yv/8g+g0YKFpm9MgRsvsTamFvxapP242bt9ChQ0fEx8ejU6dOyJUzBwbwXoGBGD16FC5domBtgM1mw4ED+xAWllKff7mhfh/+ScHq3KUrbDY7OnfujHbt2niFOD/9NB4bNmyG1RaP/fv2YvCQobh48SLy5s2LRQsXIHnyZO5BRkbOweIly9yComsi3czrZpsCQ6FP6J+qjaOvr4PKxE8plQAqCE1hcCPv27cHyYICvSbIIFgKg1i7Zh1mzpoDc1CAvJS/dnPeQEm2wrwoWHpUoGZICbpoJ+2h+uD1ny0Wq3zQz89fVOcsClb+xAWL37137768dPLkyZE6TWo8evQYTqcLKcPCEBgUgOfPX4h9T5s2jeymFy9fw89sQvZsWeHnp3A5tSnEC9AEy/D+amMiJiYWT589k19kSJ8ewSHB3HFKG/+NObRYbHj0+JEsQOpUqeS9nj577r4XBe5tdLT8niaWWlvb2F6CxR8sFgsePX4i80dTnyplSi9z/Pz5S0RHR8uGzpEjB549fYb4+DgEBgUhS+bMYln0a/bsKCxdtkL7vglBQYEyl1w/jkG9mlm+47A7ZC05SyZqOFEGXGMTHLLenou/45zqbg4VxN69u0SwdCEUjebRWB7BioyaLyrU4bBjwk8/oeiHhb1v7r151U9GX9Jgpw2BIAYMHIxff70mH6evMWtm0hrL1yd49eY1lixeCpvNiZKffYKKFcuLmlb+H3Dq1BkcOHIU/iagS+eOSJEiVJlt0a6eCed96fcsW75CTMoXpUoiffoM2LR5i2jRGtW/ReHCBTVT6NF4ib6yy4Wnz56KyaFGKl+uHEqXLuUWGN8oTXfyfX03o/NuXBxZIMPY9+w9gPMXLsLpsKFnzx4IDQ1xmybfz86mxlq8VDSW2eSH4SOGiP+oTLwh/NI2l/f7qcV0azf1k741MXToSJw9e1YznSYc2L8XycQMe66EgrV2PSIjKVhm2O0WzJg6BSWKf+R+CE2dDkUk5twaox/9ZfV/Cw/vjctXroq0J0uW7L2CJbJqkMr7Dx6gbZt2iI2JR9NmjdGtW2fNp1OmdfGSpYiatwABZhM2rF+L9OnTuk2hMYrlPf/44w+0b98R8RYrWrZsjvz582Po0GEw+5kxYvgwVK78tZh0NbnKeTWaCmOoTse8Q8fOom06d+qIVq1ayuwmBnv4Lr7vO3otTCKwyYSJk2UDWOLjsGfPLqRNk8Z7MQ1CSB9ryZLl4utxGn/6YQzKVyhnGJfHF9bHavzzfWPr03eAbGQVkHkEK0mNxcBxnS5YNGkOK6ZPm4LixT4y+CcKKzJOXGL4iZfvpb1+j54RuHTpqrxoYGAAoqJmJGkKfTXEw0eP0LlzV/Gx6tWtjQ4d2nmBrStXrsbCZcvA2GTZ0sViHk3iiHp2mz5Zf/75J8Ij+iI2NhaNGjVAoYIFMHrMWDGj/Qf0R8UKFdzCkZimMv7bnTt3EB7RG5b4eLRu3QrNmzf7u6+89/e+G9P44enTZ2Lr9u2wWOKwZdMmpNEES+ZaM2P652fNjhTBUhrLjB9+GC2+qj4Han202XkPRimWQ30JJkIHMKNP3/44cfIMiIAGBfhh797df+9jUbBmR84TM2K3WTB9+lSUKF5MG5ATv177DTHvYtwOve4U6spFd+o55syZMyFnzpxu29u9RzguX/5F7hUUFPRe59139u0OBx4/fiwmlyF9qlRh7o/w2fQ9Xr+NFoWdOVNG5WOJmfRS/KJ9GPrTHPLvYWEp4B8QgJcvlb+WOnUqBAcHG5W69ndvuEU3EzSBz549k81C8xsWpsb1d6BsUtJldOZ131CLw/D69Su8k7l3IWuWLJpjnvizqLEWLVoqUSDn4Kcfx6B8+fIyLkaH586dE42jDVZtUvmft6nkz3ly50GmTBk1VN2MXr374eTpM/J5fz+TOO8qIvVcXqaQGmu9CNZ8eZDVahFzVaJEcZFODqRr1+64fv2mqFheujNPp5qTQidfaTMHGjSojx7du7mfRsG6QsEyUWMFYfbspJ1334l/9PgxIqgZLDbUrl0TbVork6Nf69ZvwJIVqxBgAubNjRKNpcPAGvSphdEm/PnnXxgwcBDi462oW/c7tGjRzO11cOxLly4TDI2Ct3jJYkybNg2XL11GxkwZMXHiRCRPllyhzG64RY+eDBP7DzITiQmXrun55y+//IohQ4eKOR40aCA+L1nSjcLzu8OGjcBv135D9uy5MG789+Kg65cuWPRliYuJYFUoL7+2Wm2oVq26YH8SbEkaRsUpXEdeyoQ6JULt36+PaHauKTVWRK8+OHXuvGRv/M3A/n175NnGzeQWLH2nrF27DlFzFopGslri3ILFh9nsdhGsa9duaICYB6Gm0HHX+gcGiNNPeKxBg7oI79ldJJ0IcM+evXDx6i+yiMmDgjBzxtQk4QbfSb//4D5atmqD+DgrGjduhJ49umgfUR7UkqXLETVnniBhGzeu03AsDbtypxGUWv/9jz/RoUNniahatGyKrp27eKVJIiPnYvmKVSJYO3Zsw6hRY3Du7FlkypgRS5ct1DSaN/KdmDuQmOCoBUw6d+E2hSYXLly8jC6du8sijxv3I8qVLa3kWcsMdO/eExcvXUK+fPkwd06UF9ygnPclAqFwXWgKK5Snj8Xo04aq31RHnMWi4CTN3PBPmk6Oj39SyOx2G/r26SXgru7+9O7TDydOnFLr7W/+e+edO3wNNZbgWCY47VYxhR+XKC5zxCiqa7ceuHHjlnvO1ACcMggxDwxXHQrmp2D17EGNpcDPHj174cKVK/A3+yHQPwCzZv5zwWJI3717uGiZ776rhQ7t23gJ1uq167BUJjIACxbM1zRWwqWlaP3151307dcfFks86tWvi9YtW3nda+nSpVi7boNskNWrV2HKlOm4cOE8MmXMgGnTpnotoP6E9wmWUQvp/mlSQufxsVy4fPUXDBwwRKzA4MGD8EWpz73Qj4EDB+Hab78he7YcmDx5oldkFhk1BwsXqvng2vz44xhUqlhetKzFZkflqt/CarcDDuKSHuHyAN5KC1Nh9O3bC40aNpAh89/69OmHYydOiRUL9PcTfC4okBrLoLG94AaXSQBSJVhmOGwW0So0hbrG6tatO377zWMKdSnWJ0SsNtF6kwn169dBzx5KYynBisCFK1fhZzIjKICClTTc4DvxFOq3b9/CQdQ+eXKEhDBlI/vf7cOpMagw+e3baNhsVpjMfkiZMiXevH6lJiIgEKEpQv+GW5EwX2eETV6+eqnMvtkfqVKldGcb9DEboRJiZPGWePlVmtSp3YHP3wuWEza7A2/fvBOLTv/NZrWCWKBgZqlTe+FWvppQN4UULF1jiWAJXmZDteo1ER0bAzPlyklEnp/TmRCeqJY+ZL++vdG4cUP5LpVInz79cezESdohBPr54eCBfSLUiUaF6qYUrHWIjFwgqReH1YIZMzwai6awW7ee+O2364L5+E4kFx/0sVwKtadgKR9LM4XhvXDxylVx+pLRx3oP8u478Q8ePEDHTl1EY1ETdu7UQcsuUJB0x1MJGh8wfMQonDx5CukzpMe8eXPQuFETQcdLliyJ78eO9pqEpBZZ36G+pqtGjVqyONmyZsPiJfMTvZe+0aZNn4ktW7bIzt++bQtSpEiRZEStP08JiQsXL11BRERf+fz3Y0fh7Llz2Lp1m7zHtq2b3VFhYlpTjwqVr+TCTz9972UKq9WoiXcxsaKxmGPUN4PxnWmNCKPQx6Ip1K++ffvj6PGTkoXxN5lw+PBBBAUGJO5j6YtPwZo1a67krJ12Ou8zUKKEigopON179BQfSw2AOSQNONMcWSWe6r969b4TjaU7fd17ROD85cuisZIHJUPk7OnInz/PP+IK3bt/Hy1btobN5pDd060rcSwNHdcBWU0XU/UPGjwEx44dR8aMmbB02SLU+a6u5PO++KIUxo/7Sek6E02AN3jqjeV40hq6RuC/fP11FdisNuTIkRPLly/W7uXtN+mCNWnyFGzatFmS6fv27nZHjUZhTtyMunD+/EV06txVtOy4cT/gzJmz2LBxk2jiXT/vFHTeM16FpOsXNdbSpSvdzv5PP36PihXLuTVWlW+qIzY+XnwsWhfdp9IpOvp9lSnsjYYN6rmf1atXHzGFNA0Mvv+ZYK1VKR2aQpfDlkBj0WH87bcbWgSockb6JQlMs0rp0Po1aODRWDSFjAppCpkvTBYYiNmzpv9j553mZ+HCxbBZ7Sj5+Wf4slJFnaUkbFcNktEE3oX1Gzbi5s1bSJkyDO3bt8XMGbMFHc+bLy8aNqivOaxU5tp336e2tN8pQTZjwoSJooGII3Xq1EHeVyVv1WU0hbv37MGF8xck8OnXt4+kp3wvL41IZ1pexom7d+9jyeJl8PP3Q4MG9fDHH3/i/PkLssF7945ASEiI+1a+WlUJ1nLxr6gAxo/7AZUqeUwhBSsmPl5wP6ZpjKCv7sTz5kbB0h9GwTp+8rRbsA4d3J90VKhrrNVr1mLGjCj40TY7rJgxnXCD0licHArWtWu/iU3WM+JeO060hksYDL4+Vrfu4bh45Yo49jSFkZHT/zFAyl364MFD0YWhKVLIiwh+BBMypEunUjhqWWUinz59itjYODHZWbNmxr17D2QCubCpUqfC48ePFI6VMpXsfDcfCMCLV68Q/fatfF4oNBogrN1egzF0XMuXN+WJlHWtZQSTSXPhuAgQZ8mSJaHPpSftvZi2KjBibjQ6+p0ILnOFT58+EU3Id+S9jMKtkPdlKq9rNuPHH8Z6aazK1b5FvNVKCjHM8BAKhM2iQUn6BtGjQrVpgF69euPEqTMw+fnB7HLi0KED7zOFakHWULBmRimijcOGmbOmC/LOyZGosGtPXL95UxEGmRm32TXbp5KWil6jcKxG9euiZ8/ubj4Qo8Lzly7L5xIKlicyUepYhb36dffeXTRr2kLSMM2aNZN83oABg4TdMHToINSuWV1hS5oh7td/AA4dOoJMmTJh9aqV+LZ6dUHHS5cug27duqJV6zawWixo0bK5F9bG582aNRtLlq2A3WrBwYMHROupS4GtIjDa0IxCI59IJBXj0WRAj549ceLEaeTLlwdLFi+SQET8Ww3V1n1EPeAxarcffxqH9Rs3i4915NB+DBw0BBfPX5CU1KLFCzWQUgn6rNmEG5ZpyWaIKa1QvrzcnjjWt9Vr4R1xLHFxbF7vQ5Bb2AxksNvsGNCvLxo28vhYhBuOHz8lCWt6QnTedQzNHVV6okIljfSxZs6MBOUYThumz5iKT0qU0EJPp4T812/cAJFwhXfQ9OmsSxW90tQzrG/SoD66d+/qBhK79wzHuQsULLOYwsjIGShooM0QbDX6CUbBoo/VokUrcd6bNm2KwoXzY/DgYTCb/TF48ADUomAZTNGgwUNx5MgxpE+fHitXLkOtWrVhsVolZO/cuQvat+8kqZFmzZuiW5fOXtaJlJNly1dJsnf37p0SVRovX/hA7WRvc2L01fTfURlFhPfC6fMXkDdXTiyYP0czjR5MTM9k6Nxx94oDmDBhEtauXy8bfN/ePZLfJHCbJ09uzJ8/13AviDtDjUVt5nTa8dNPP7hTOtRy1arVEM1JYp4/11BwSJcIizFXYbfZxcdqZBAsAqQkWRIjowegANKgpOAGNXU0hQTX7HyIwymC9bGW0qG97dKlhwiWnpjVM/b6nxQyoWI47WjUsKHgWPrEduvRE+cvXoG/n5/ADZGzZ7h9LA9+o+kGHxAx+l00du3aK0JcoEB+pEmTShiUpIB89umnyJMnl9fiHzt2Ao8ePZLJrlq1ikRTDrsdmbNmQdGiRbF//wFJ7VDzfVT0Q/d3KRCXL1/B9Rs34XI68N13tYWJkRioaRQmX+HyGoxB4Mkuffz4qVB/Klf+yp3BUEZc/Z9KF6mNa+SOnT13Fr///ods1NrffYeTJ07gxYsXEml+/fXXWqSuaaxZHj4WNyx9LOYKeU8KVuUq1UTz0cfUcSyj6dbf12G3oV+/vhIw6b9nSocAKS8BSAk3JM3HUhprzdq1mDUrCg6aOrsDM2ZOx8clirkF6eHDR4i3WHx2sIoO9QerXWdCWFgo0qcj4U7t6J7hvXDukooKCZAyKixYkAxS5fgePnwE9+/fF+ZDrVo1BdzTL3Kadu3eA+6gggULCGirFkD5dL9euy5sTbPJhVq1SE025vu8TdSbN2+xa/ducUwLFy7szoXqzyI577frKkCpW7cOTpw4IXlK8rS+/eYbbN6yRcbBBS1TpoxQk+kDkprMXOHRo0fFbyldhjTnnO6dnJiZXLduPaw2K1KnToNPP/0U+/ftFw5U8eLFRNvu3r1HfKQKFSvg4cOHuHXrtuCE9esravLTp8/EVHPzKAhICRaxSDI+CDdQCfz4wxhUqlRRpXCcTvz1118K2HbpLoyiICkqkneknC5dWqRKlUoFJYACSI+dkM8RvNVxLKNQGHKFHo01i1Ghnwn2eAtmz56p0WZ0WEGF6b6XMRmdePhM/0IBpIzDRLAip6NgAY9gDRg4RBaRjvj6dWu8hIO0mebNWwq7oUmTRujRnSkdDQ6ASbhH8+bNE/+NKZ106dIr/4IDlQnzjPn3339H+/YdYLHahI3aratK6ejjjoyMwvIVK0U77ty5E2PHfi/jooO8dOki1KpVB3Fx8ciZMztGjhyOTp26CZTRsWMH+bchg8lsNcvvvv76K+2+isHqudRmqly5CmJi48ScDRwwAF269oTdbpV7UVA7duwiiWTCBafPncW6DRvE79m7ZxeGDBkmDNICBQoIVpc8GRmkuo81V+NjqQ0/btz3qFChQqJ064TWwnd1PYJGYezVu68INQWRxEbdx0oUINVvRed9VuRc2OnvOJ2YPn2aWzt4HueBGBIKmKLU6Jdn0CZ0p2BdviwpHf4XRR/LoLGEjnHihLAXNm/eiBCD1rl3/x6aNGkuaZhmTZsiIqKn9gj1rAULFyEqMkqevW3bVi1XqBsYb4yJVJfWrduK5m3RooWXueY3KFi8H/3Xffv2YvjwETh79gwyZMiI1auXqwRuXLxwzQlctmrdToDErl27IleuHBg0cLD4md+PGY3KVSp7hfJqbvSiBRO+/KoK3r59g/z582HwwEHo0KmLJP+7dOmMjz8ugbZtO4i5nzJlAk6cOiWpJsImBw/sxcBBw3D10iXkzp0bS5cs1FJNHo21aDE1lkq5jfuJOFZFH+F2r5Jbq3qzVTzBkHGdlY91SqwU76/DDUlqLN0UzpwVJTk/2B0YP34cihb9wCscNzqU3oKViCbTYilOaN/+A3H12jXRWExC+6Z0nghEECuqP3u2bF7hs9Vmw8MHDyUoSBmWUnwstTnVjnz95jXevHkj5jxbtmyyy3Vqi+946cQ/fvRYvheWMkwIc8Zd++qVuhevbNmz4/nz55Kwpm+YJWtW3Lt7T8YR4B8gAkz3gCaEaRaaI5onOsHp0qaVTZJw83kotnd5L6dT/DgyMsji4FhI3wkKSibj5EVmRVxcLN6+iZafs+fILgUk9JP8A/yRNUtWDaz2+FhMzKvgyonRo4ajdJnS8ixff1F3XWQbGnhaatzGNVXQN8FngrV68Ea4IQkfS+0grsSa1WsxdcYs+BHmd7oQGhICM+FVKaIwsnW02IHhNV1AhqgSKTKH5id5OQ6DYauqtTNLzoxwAc2VEP0iZ2qmUGkUBg43b91CSHBydO/eXRKb+ou9ePVaqnAcdic+//wzVK1S2SDsJim5OnjwsCxoeM8e4ncYfT6CmtQqBEibNmkssqajBr/99psk35mGqlPnO3z4YREvjbti1SrcvvO75AW7dOqkQmvN037y5CkWLlwEi9WCSpUqoWIFUqY1I20Cdu74GWdI43U6hfpC/9HD4zbhx5/GizPNBHfnzh01P0blL/766y4WLFgoG6xJ0yYoVKCA4bsQ9gIFk2a/Q4e2IpxGH2vhoiWywShYDGIkvSPrQTSJ7oFaQ/p0XD9e+rrx7zrBQLav7FK1iWPj4xQILlEkcOTwQfezfeAGraZMK6aYETVHL6tRLEyt9Ithrg4vcJeoCEYJFh/Ih7GCg/+iIAijQ++pZePupmBFRs5CwQL53Ys4YOBQHD92VHbrmjWrDbWBLty7/wgtW7aSJGzjRg0FH1OTqNQ1fSzSZmjz15OanC6tmBAF8gFVqn4j5uuL0qUwYdyP8kw1chMOHDgofHxyxEaMGIYqlb9yJ875/YjefXH6zDlkyZwJy5cu8vL9uBE6duyqVem0FxapbBPNipBOvH79BuGt7d+/F2EpUrjvzY99XfkbxMS8k0h3yeKFXsrt4sXLaN+hg4zrxx8Z1ZUzJM9NQmG6cOEScuXOg0ULCTd4qnRmzooUweMcsHiFz9fngg9RvDllJnUgVAGsau28i3DVxldZFpcGjithJJRx5MihpHAsNfmci7Vr1mLm7DludUkNoB6uYFdVLuSUNIN7yzOvyJ2gSTb3gapH02vTFAShq1reKzDQH1GRs2RC9Wv4yNE4c+qURFaLCR5K0alaJZqbTp06C7hXp24d4ZcbVfWKFauEk8XPLl++VARLN4EcW5269RAfb5Ek9JjRozQ/RyotcPTwUUlaBweHok/vcHz1VSV34pzPGDJ0uKRSMmbMiKioWeL76XDLnd9/B7n8NEnku7ds0czLrM6YOUtIg4Q2tm/bLJGknuXgwtaq/Z04/rlz58LcuVEaAKs27KXLVxAeHiHmddSoUShT5gsvVkbv3n1x5coV5MqVGzNnTtO0oZqVmbNmC0CqEzJ1weCaGIs6jJvf83euJ6t5NGq35jO7GacefQ5/+liHDiYNkOpm49Dho4L5GB9urCLR1aLKj3kqo3WhkcFpBa06Si3qUawpVacaLP2V8PDuUuWsXy9fvhJzxfsy1DamKOiwErPhOJkjSxEW5jXJTHVEv3snap7fJX9dhc/KR2AqhTuRpogpHPXPytehJnv96pWMjWCootl6QEv6XDTj/n7+SEtNaAhOqMWZauFzWIwaGsLqII9rQqrPu5h3AjpmzJhBeydto5rMePrkqQgp6dFqM3iaeNBEPn/xUt6J/luyoGReICSfy88QlqF/ZpyvrVu3Y8/efQYAWw9glOXQGb+yzprfpZs+YZIa7LnbV5W/qHnj96n1OBcTJkxAQIBiFCdA3vVQMaH77aWd/9EP3jHYP/pKgg9xh3fp0kW47J988gn69u3jMa0mE04cP4GJkyYL8t65cwfJ7ZGYQqTjAAAgAElEQVT1SaGMjJqFdFJo4JlM9dJKqElNHjhgsPhF1H5Mr7AYlOgxaT5ly5bxTJAxwtX44EZH3xubMuH48eMYP2Gi+Gu9e/eSexknXM2zBpNofq3S/GqsJAqrz6iF0sRf3mTevAXYs2ePOPHLli0VYTNu6P9spv93vpUAx/rfecy/vys1QZ069cDeCGXLlcVPP/7gdZM9e/cK51tSOoP64+XLl5gzd4Hs+I2b1iNjelUJrYf3bszLBRDHate+I+LiWP7VDIULFcTAQYPF5IwYMRxVWP71NxRi3zfSN+aePfswcBBzmP5icqswyPiX90pqtsaNnyDl+iT8sYAhbVpqOF30lFj+X7n+DwuWQ3yqd+/e4eNPPpYGIsYdTM0wceJkyVeRuvL61WusWr1G1HTUnNmisXRTaBQuKgdGW/Sb3r2LRb16dZAvbx6MGz9enGTyx3Qt848FQvM/ScI5cfIUxo+fIA5ur149pe+ErqH+pws/Z+48/LxrN5x2O5YsWSxBzv/VK4Fg0d7Tp+AC0R+hP2NEVHXVq086/RqyBLiIfFHPIrLMyIHXr4kHucTM0BegL0Stz/uq0Ntz0ezROdd9Cg2I0mgqhg+6UXRP0w8mVGNiY2XPpkqdGrGxMbAS2jCrcRkvRXNWZe/JkidDcHCI116nqeH9OG5yroy+C+/z4sVL+R0d41QpVapDqSWD1lAOppTv07HnRd+OG4WYHH1M+nNGTIl+pMLPTBJ5eoIXo17SfL9E+oVRa9M3IiPUN3FO7C76rcLAWPLGqPx/KujvE+oEVToUhJatWsPhcKFmzRro3Km9mjMvNF2VAfH64cdxkjdiufeypYtEgHSz8+TxU0GSiZYzl0X6DdU57xUR3hPVqlXzckZHj/kBp06dFlBxyaL5SK5HhR4/Osl3Wb5iNZYsYR2dWXbz7MhIHD92Uhz5+fMi3ULMZ5MwFx7RS5gSzNq3a6sXZqj3XLRoCVatWQu7zYpNmzYizM31Uo+v/R0jzDhkz54d8+fN0eaHg1Rz4g4MhL4SJQxSbtjNmzfgxx/G4cLFi8iePRtmzpjuLoCgcBJPi+jVVwS1XdvWUo3kC2a+bzHr1msgPmmhQoUwY/pUr48eP3USQwcPRwC74Iwa4W4F8L8lXAkEi9qqbr36sNudUnPXS0ud+KZpdC02bPhIHDp0WHbIhvVrvASLTTyaNm2OuPg41KlTB8WKFcXo0WNFA9C01axV00tTkF90/MQx0WYb16/3lFm5BStpH4I41uzZkYJCb9i4HpMmTcKxoyckDbNq5VK5lz7mO3d+R5u27eQdmzVjrtCbNkOS3OJlKwCHHbv3/IzUKb01HtMwzBDkzp0Tq1auSGTj6XV6ZowfPxHrN7Dixyk4lkoPnUeOHNncHWL0cRE66NK1u1gApofatGn1rwSLWB21VvHixd0Cr0vX4aNH0Suij6TSJkwchwoVFE3ZK4RNUmr/ve/mJVh8QWI9nFin04RPPikmFOCEKQA9djRh69atuHnrthDWOnZsr2XYVVUOWQQLFy4Uk1j0o6KSatm5c5cIVuWvv8JHH6meEPq1cfMW3Ll9S1IZnTp21LAR35RCwrcnZsbCCXKEiPR36doJ+/bvx60bd4Se0rZtKw0ZVikLhulMMrMY8/PPS6JC+bJeNz1y9BhOnDlLXq7URSYTrpEG9ppMmDp1uuBSNG3ULAk1OnFBlXHYt/+AYGB8bnh4D2zfvlM0Ztq0qdGieXPNJKlxkb1API7arUKF8sLP/zcaa/qMmWJ6Oc/Nmzf12rS3bt/GurUbBNSsW6+ORlf6/4FgKRWumnPdun1H/p4mdSrBXvSLL8lFISWYfyeop3OVPMlLHYfRJUaBOgqh94KH3ARA/f537z1ATEyMCF7evLnx+53fRSgJmGbNmuU9VkBLSblpnQCJge+iYwSJz5snt1swOA6i938KbcQl+E8GiSA9ZL1nz17gyYvn0vIwf/68gl8ZL3K1FCYWhCxZMgt8QfuXPn06d6SmCxbzny9evBJhIffrwcMHeBcdJ1RecsjcuE8C5qlJtCLpLfwM8T5V4ZP4NHBub9y4qbV9CpYUEb/LdSSw6x/ojwf3HskCZMuWVShNusZSAc1f8jz6wey3xc6B9PnINCEN2gix0NyS6s17kbqtc++NmyBRU1izVm25acMGDdCnTy+vNxGTExWJAD9/rFixTPhG3s6tR5u9zx9I7Hd9+g7EsWPHkCJFGDZsWCsd/Zj5Z/5t/HhVWZP0tOq7j+CeE3379cOJ46el39WqVcu9TOHt23fQtm07xMZZBG5QtY+ei2j5/EVLhM998NB+pEzh6RPByStbrqIAuWxz+f33Y9C2bXsBKqll2axELQIRbj/BtFavXi3zefToEaG6ULvmzpUTy5YtkRyer5uhj4Sajk3dGCSMnzAelSrSeiQ9C+UrVJLaS9aB9ujeXaJqobn0ikC2HNnRo1tPyeNOnTZZ2kAZBat92464cOkiMmXMhM1bNqJa1W/w4uVLlC5dEpGRkV4PZQosIoJy4ZJsQalSbI+k3U3H43Rqsi6RRL/pY3GiSCbr07uXQVqZk1siOTmmZNjVhdKswPT/ebvnfv0HCkmO/tq6dWvRoEFjiSrpD5AB+U8Fi+/Sj4J14jTSpc+AVSuXeaWHbt/+HW3btXfjWD1In9Y0FjeJCBYpJy7lF7EBmv57CkGFil8JSEnazNixo9GuXQcRtI4dO6J9OxUI6KkTBitr1qyTsrUjRw4Infjs2XOy08l5Z37PW7D0AjqICdUFa8LECdIF532C9eWXX0tUSReje/du6NJVsXd79uyJ7DmyIaJnLzGFk6dMTCBYHTp0Em4Xg53NWzajRo2aePHiueRWZ86Y4dUs5ODBQwgP7yXrHhU5G1988R7B0ieDZoJNUTmgfHnzivTrQscJuHbtOq5e/UWy41WrfK2p58R5O16C8A8U2dHjx/D48RME+Afim2+qYffu3ZJuoRksW6b0vxIs4lwPHz5F8uBkqMbGr1IRrAbByd+7b79k9wsWzO9FTebvmaO7duOmmEKW8yuWhefasHGzZqJT4PPPP8e+g4fgtFnxYZEPUaSIp0kd5+v8hUvS3JYuBjGzU6dOCTWZkSb7cCl6jy9/Tc0n3Y59+/ZJqql06dJCJXqfYDH6pN9IxueHH36Ig4cOyTsrZmsKHDp0VJoWly1XRiqXPBrLJZ99/OSxaPbq1Wtg+7Ztwldjvwr6e8bo8f79hzhy5Ig4HpUqVUDmzOpeiZpC31VTi2ASlJqFn8RHCBzmy5f3P8Z3GY0dPXZMHkXHlC15SCemqq9duzZSaS2A+ACqcNJ2SbOhf/G1JIaTvigM5y5clMKABvXrahGlnvgGVq1aJVqY/Kqvv/pSTYS2D+lvkQPPcbArHyPjq1euwuRnEiaFglA8E+cOJ1wuMRfbdu6SYgTWBkjLJ3cjYOD06TP47fp1EazmzZomqL8z+i4sWdu1a4+0vfzkk4+RIUMmYbAyJ/fll19KJOndlMkzH1wuviM1Z4YMGSQNtmvXLgkiPv30MxQ18PoTrjWwY+dOPH3yBCGhodLPgikpnevGoGLXrt0iOLwvacp79+4VOahWrao73/svBAvYu2cvxoz9AXaHE0OHDsa331TVds2/D0F3/vyzwA0cwMAB/aXf5pIl5Az5Y8XyZdJxWJdagpi1ateRlE65cuX/xhQCi2ii5y2QVpGbNq53d/TTA4Yvv/paJp3tEidNnKCgB+k+wGIA0mYGiQANHzYUt27dwbKly+EyOYUC7NvzSt1TiReLYttL55p4iYo7tG+r3VuhecwOrF+/UaqaDhzYI1Gq8TIKloIbesJms0hkW+yj4tJ5kAGSXmXzvlmvUqUaXr9+LUJEPhv7bNC3Cw8PlygxqYvj5HPYgZnExa1bNgsfT1+Ls6fPilnlRfwxe44cbh+LprBUqVJuKMcdjBjLv4wP1ku6KKmjRo8VzGfEiKGoUZ2gpmIS/ttr586fMXTYcPn+sKFDcP/BQyxevFg0BflX7DisXxSsb76tIYwGFgFQGN53kRA3bXYUAs0m7Ni+RaMmq+a2/L8KFSqKaqc/MG3qFA/9ABBt1advPxnH2DGjwdB88cIlcJkcOHTwoBvF1ifNqLHYNZmBAKPZrl27oFNH9pTwQCTjxk2QRis0UceO8l6kzXhXTevvRe1NbpfFGo/uPbqiRPFP0KZNWwmO6Bd9WanSe2e9QoVKePP2LYoXKyY9Sjt07CSC1bdPH2mJ+b6LVO0LFy6IWdu+fatXbw6C1h07dpL5CQ/vKX51jx49JeE/Z06UmGn9SlSwjKkbHT1maEl4gTVxGTJmQFho6H+ssVhpQ8YlTRAbylJ4WDrPwVBbKQakujgWmih29GU4mylzpvdOKoOO59KVD8iVM6cg8OooDrXINOm8p9wrk+5fKKmjULBUjONgaE4/k5qS+4d8cl9eklFw+FkWetDkMP2jd5TRP/Ps+XPB8/gzYQ9aGC/mgjY+/p4a9cHDh0IvSpM2jTR4YzMUXnx/ZiSS2s78PvExskFJr2GCmtAGNxWpPhyXZ27dZAr3v7E6irwwWg8GJW7cDgr2ePjwgfwb35HrRH4c54cFJnpF1HvhBgJskydPEe+j5GefCsd78+atsDmcqFvnO5Qo9qF2xMW/11h/p+FWrlqFG9dvInlwsOy4GTNmysuyCqVpk0bv/frhw0exa/9+BJKu0itcNIOUhsn/vJ1j+jJRc+aKYJcvV1Zq8nx3nC7cXLDly1eCBRikqZA+7Ole5+t0A7/8ck18HWYA6tWrK/0XTp8+K8S5oUMGalGgt8bSF/HevXtYuGgpnA47Kn1VEbly5haqDDUFK5OIgxnfhVqaTeS4GZiInzRpighBzhw5JDBYuGixvHmVKlUEr1u2jERISJ9UmnB2PuYcDBo0IEFu8e/W6u9+b3JJU29eClnmziddxeZwoEH9evigcCGMHD1WKmZHDB2M6lWraCcQ/PcFq/+AQTh06JA4h+vXr0Pjxk0kgitTprS7Q0xSL7Ro0WI5UYMQAVv8ZMjgOUDAOFK+I3Gs1m3aiTPfqmVzKbnXtbU6F0bnsynKNUPr02fOSk9V+oLBwQoiMFZt6xpq37796NdvgBwgMHbsKFy58otQk5lcP3RwrwCTRo3F99GJlPSxOnfpIT5W126dUewjVum0k4iWaRjieUbBaq9BBAQ0CV3wqBfiWEWLfoRu3boIjsUrIiJc8po9wyNk3FMmT8aJkyewccNGEazdu38W4fxvXiaXHHniYYISN2reoiWsdifq1K6BQgUL4sfxEyUqHNC3Dyp/Xek/9rH+buB6TysK1sKF8wV4JBvgs88+kyqT911M0SjsySW4lacdt66xPD20aDJ4tAiLTBs3aYj2bdsqMqnsL2/B4qIPGTIcZ86dl6a5c+dEimCpjybsMMO8KQMU/4BADB7cXzTYli1bJSrcsmWDcN4TA0QpmNeuXUPffgNlXG3atkKRD4oKNZkaa/TokQK5GL/LMiyeZkHTNXPmdDRt0kw2IqGGDh3ao0+fviI4JExmyZoF/fsPEFP3/fdjRVtt27ZdBH7jhrUSSf43Ly+NpcjyJhkc/8YSLXLbaR458yHBIW5us9Ef89huYwGF8Rwb9QkdwlAMV5/uvC4X3sXESIUxJ4+4y9u37KzilB0bwtMivNicBn6oluOMjWOzViBVyjADB0ppYzE3Wsih02b44WTJAhGcPNhNuVWkTm8TF/0uRhpnELXmuHT507W8cUG4UPTZKKWcL0IHciKHyyVVPjrl2/gd3RQyfRUdHSOZA1YqsevLO3aXgQspQlMggM3NDF+kz8p3oeDx98xScI5ZPEHgVTosu1ihEyxRXnT0W3k3+mqcZ1Vir07U8KUGqQVT/6fPiTsadp/0YVzX9+BYFCw662yIT/+kWrXKaNuG/Tk9AChBuJUrV0mZ1eRJk7B+/XqcOn1aBj9nzmxpEqZfT548Q69evbReAZVRuFBhTJ02U1ie3bt1wdMnz8VMsLHN1KlTsGLFCkGlGd6z92mPHuGIefcOn3z6iXQ2ZotCS7wNtWrVQJ58uTFx8iQE+AUJNZmHOZGazDbcc6JmI13a1FrZoSpLa926vXCsWAQ6ZPAAt6D7TigXhr7I5k3b5LTQRYsWStEu+zmkS5cOU6ZMRtu2bWG12ZEtaxbpSWq8Tpw4CUaC5ERF9A6X9uW7ft4lGmvFiqVIERrqxW9r1pyNTixSQd2pY3sMGTpSKl+aNG4inQuNQj5nzlwpuacJX7p0iTA42FKKqaVx48ahffv2ogR4Ohr9KDJs+e5t27ZBhkwZMHbMj1L6P3jIAJQqxQ7MatO97+J88N1HjBghARyrkBg5/vD996KxR40a6W4lqjacul+iuUJWjlDIGjRogIjwHobQXLWqnj1nvnRHXrF4EebPX4CDhw7LTuapW8mTs+ZOCaKizTSTaKdW7VqCAI8YMUYitgED+uHxQ9bkLRYi/qrVy6VnBOsDaQrXrl2Jhg3pY71FuXJlRRBbNG8tSHzjJo3xwQcFtFO2AjFoYD88f/5MdU02m7Bl80bNx+IwVEuer7+qKgvII0kmTRxvwF2MPCrlbrKN0bKlK0UbCNVlxEgp0OR5NcuWLUL16rWkti53rhzS/NZ4sY8DO934mfww9vvRuHz1itRqkg1x+NB+t8bTv1Ppy8qIjY1H7tw55LCprt26i4broh3SZLy3tDFav0nA2L37dmHQoGECEUgbo0XzUKsGcT/SZkqge3f6WF1lHcMjeiJ7zqwI79FLtO6kyRO8UjrvlywF8rJFKFE/FsCwmW6viN5iHVhfUKrU50njWJRM/kdmJU+g4t/J127bRtFC9Isaa8XqtZLmGPfTD0pjnaLGSi6aQqlrJbWEKXr37iN2nFjUBx8UwdRp00Tw6DA/f/4KmzZulgFOnjIBS5etwvnzZ+WErGnTJiMioo+obzbLaNG8qfCJLDYbataojvwF8mHy5KmS6O3atZPwkFatUtRk+kFpWYmjYet8l5Yt28o4ihf/SBZQv/TTFvSfVRS4AkzbsAJl8WJqrBlSZsUQftKkiWjXrr2wQEnWmzJ5ktf8HDt+HBPGTxKGaK/eEdJc5Oefd0tUuHzZ4gSV0c1btkZcLIU0lxSdjhw5WtotsaiWuVqjxmIku2fPXsGmlixZJODrzZs3kC1bdqkJINZEi1OwYEG0bNkCw4eNEK3bslUrgSvGjP5eEPUhQwahZMlP/6HGgrw7eWQ0udSEmbNkwfdjfxTzOXLksPdrLD5F1Y2ZZJE4wWRw0tl7F60orbTNdOLpQ+inOMjhlppO43eI/xBcJfWVJs04MZ4VUJohJoZ0YnUvdtmLjYmVvgVCc06TWu4lx5gFBkpFNlMtxnFxEvldGZfTqfk2JsFseGKCLlh81ssXpO2qo1a8HWjiRzap8hG/iPdyOBEbR78SSJM2Ld69jZaOMNztHOdLKUOD+J/0T1SEqDSf7oeokimI30jIRPCktGnEVBv7njIlxOdxnoVC7a7WSahHvE5b8/21C3iulcfxXpwThcWZBLvjOr15/UZ+ZpW457CBhKaQa8x31NeRn1d+oHooTTGDPP4b/Ua90bHRrUjUFDZq3EQVhtb5TipYfvhBUVYGDeqPp89eYN68+QgMCJDILUf2rFpDJ9UprknTpnj1+g0++/QTjBv3UyKCpSglXEWWgJOGw1wYdyAbnjF5TFO4fPkyNGvWXFIU5cuXQ+cuHdG6VVvExVnQtGljaWU0YuRI+JkDMKB/X5nU+fMXyb03blgn7ZPkiDSXU7r7fvtNLTGj9C3Ga5XQapqc0qBt0MChklgfPnwobt25jVUr10qPqm3bt2LsmDHSsZgh+eJFi/BdnTqIj7MhZ47sWL58idzFV7D0d5w6baqkdOhj7d71M8LC2DdUP+MH0sifG4zg6eLFC9yOcuKejz53CYWO8/ltjZoqpfPhhxIJ9ujRQwBTpneyZ8+Bvr37CbvhJ3b382KQet+PbcAJXbx89QqlS5UU/9fTqtuEI0eOonffvjCb/DF92lS3v5YkQEptQJ+GOTorj5qtXx9FihTCyBFjpHfDsOFD8Oz5C0RGzZUz8pYuXohcObO76/1pHurVbQSizWXLfIFJk8b7ZOPduk0EK2rOfBEsDmjNmlVicihYpM2sXbsa9es3FLiBOBZL6puyVWS8FU2aNJZxkdvECIgd/dggY87c+aKet2zegIzp07vPtaZgfVmpsggW7zVlspYrFO1AasxhDOg/GGZ/M0aPHiE4l2oM65RTtkaMGInTp0+L07pyxTJJNdFfI1Fv9SqdmuytsfSoefwEBjgKLyKOpXpKeEiFpDkzemOlEDsPvk9jJSZOxn/76qsqeP3mjfiy9EnZcZlWiPWN2bJnRXjPXmJdpk715mP53pf+YJWq1cRCMLc6c8Y0pQxUeIgDBw+iV69+yseaPVMIBR7XIhHnnQvMqCIyKkpMToniJZA5S2Zs27pdzET1b7+RSThy7Jg0Nm3TqqX4MvpFp3J25FxR/Xnz5kK9unUNjj+BIg330Xo+UFMcP3FS7D47Gx86fESYi6ze6dihPebNXyj3IqOiYoVyouGYc2OZPDGlLVu3idlkYvzdu2hx/DlQctjdXV40kzR58jQJsfPkzS3sB6NZJvOSXZbprzHi5AFOJ06elLag4RER2L59u6SEKBTt2rYFKcCEH0gv7tC+nSYMniBAb9DC+WQ18vlzF2SB+/QJl+OBjdfUqdOEwUEWK6M3Yz+hxN2IpMVr6rQZiI2JEQZHpYoVsGIl21068NXXXyF1mlQSRHCuSd+hH6auhLqR2pWcNLo8efLkQeNG6lQKwfrMJmGqsokKfVBaDzKJ3ytYSqV7n/Tg+zM5QvpppFwkpkd4ekKAv5/0eCI1hqE4VX7GDBlx584fIqSpUoVKmdW9+w/lGaT0cqHZIog/Ez2m/6NPJrUFu9eRFUAhyZGdXCRPkxFibeyiTL8pW7YsCU4j1V9U/BKxIJq2NDG20UBTbQd6plYRadzTrQmlcV7U7zyfU/OtY3IGXJzBkFmrZpLDb/g/J/66S2ryWxEwajymVih0ZFaQI/XHH4pOTJYBSXf/VLh8cUXfn9+8jcbdu3/JGJhL5ZrRbKquhoW88rT0rW7cvKlRk1NIOyYexceLp4Cx/vLu3bvyc65cOWV9+LwkfSzjwiW1L8hGiJw9T8wGzUDUnDk4sP+QNMrYvGUTmjRtJowEFimwQ12jRs2kVKp27RooXqIYhg4dIUtDpgThiIULFojzR3YDWZV6aoQvzBMgGEhUqFjRyy/iOMm6YJ8mmsJhQwejdu1aiQ5Z74SjlpyouscFln/RBc4dghjAUV3IjJtN2+NusDeRpyp5pQBrWkydqgSny4Fu3Xvh5MmTyJsnj/hn1ap9Kz0n8ufLi0GDB6J9O9U3nimZdu3a/WPBcm8knya7+qYgyY++FqGeKVOmSA9RVg/Fx8Xj4MG90l1av2gKK1epKpu+TJlyaNWqOTp17CLTp2gzORERHiE+KDsJsl2mvm4JcCzf+fH9oL4DWHUze/Yc2WHs6jJn7lzs23cQKUJCsXXrRjRs1ASvXr8WbINNUevXbwxLvAV16tQSwRo+fJRMFoWBTcZ4P6rntWvXCNBnfDkyGZn7Klu2LCZMGOelTSlYQ4YMFfPqK1jeCD2X1wEz/BAfb8e+I2fx8lW0mDmzmdCI6pvg7hUsik3EUTtmS9Nw0rpe9VWglnSC5yvzcCqn4GTuv9vt4DHKrEm0Oa1SDp89ayY0b1JLgpQePSJASCJ37jxYuWIpvvm2pkAE7B/B/lkd2ncQLdKlSyc5yf7faCxfzWpcU7oddOi5iQn5sHPiunXMYVpx8MCeBIL11VeVpZkd+eytW7UQf40+FQUrR86c6N69h5hCct7/ljaTlJYSda/FmqTZ6mfp8Py769dviOZhSfnXX1XEocOHBeBLnyEdin5YVGoOyeXKkTO7+GPs58SLeBKR8Fu3bgr1loUChBT0i+qYtFy+OKOxkiU/8xoeaR7nzl8QH4v3EpKg4TKaAt1UXb56Bxs2H4HJHCjC5IcAOPxU5bWefFa30M4ilGy0U3XJ0ZrI8b48KIpCRv+FAmW38/g1ChTP97PBYXPIkSgWWzwslliEhvhh9oyRCEuRDCdPnsbT588RGhqGCuXKY6/2jgSYixX7SNi6fAaLTo29w3Sh8X1HfW08AuhpQ+n5rEso3yziIID8ealSePzkiZyCRn/q22+quE/MUHgmsGv3LllH5hDp4548xWPkXChSuLBAMsy2cJ7Kli7jzjMmGhW+T6iMguX5nGo5eOTocemFQMC0Tt3v3KVS1ATRMTFgOx0OiOF0KUYPGhYiqYIrV/DLL7/IfVh1TaF7cP++aEO2wTYeBOWlhcjV+vMvHDl6RE7gotklXYRAHi8WxzLJSuGjX1erZg34Bfjh0pXfsWnrcXV6o9kFPydZktpRxNqpYUqDaY3ktFbV1E8iWHaHRMDsNOySMxkd6mR4h4NdNaXdN516huuMkOOtFnEDwkL9MWvaMISlUJ2cdUHnVLCCh99h12QGJaT8UkBLlCiBdOnTYfcuVYdJoiIJdkbOO6nHbEtJeOabb77Bpk2bJNihb/bxxx/LxqTgk078wQeFPEtnMkmUS6asndVYDRt4HZ+isy30RJ6+SbkGvi2tjHLzrwVL11aJCR+baxw4cBihocHYunWT6ionwuPEo0dP0LhxU8TFW6SqmnRk4zVnzjws0hikrCjmaQpsO8j6uS1beC89glIFsMaB66bQ7BcgSDLBQJYpcaxsbjtu3HiBLjJlzIzVq5YjeXAQLlz+E1u3n4QrgHdzwOSiKfQXoSG+I4um9+DUW0ma1Wk7LqddAEOaQTvNn8MuzTmIE9EnIbJut/HvTljt8bA64hFns8ISa0VYqB9mTn8dnOMAACAASURBVB2JlKFkRXhXM1Ws+KVsirx5aQoHoaM0l7OiW7duKFGc1OS24kfyZFdaCOMcsLKGdGJGbqTNVK9RU+aBQtm9W1c5LY1C26dPHzRv1kQJtbR35BnRP2KjnHJhwf59uwymUOvwZxinmhZPV+n3KaFEfSz9y1qqT76v3zQpMzNo8DAcOHAIKUJDsH37FgQlC3IHsGQZNqCPZbFI9e2QIQMNtF2T6k68YKE0HSNuNX36LBw5QiENwY5tW5EsOLnygaTgVZH79clhMnbQoMEw+/lj6JDBUtQwe1aUfGTnjm3SI+Lo0WMyYWvXLJPmH5eu3MPWbSfh8vfn6TGgMWTkRoFys0R59oyg6C6paLFbYnDu1EkBT3nqBpkW+fIXQEBwCtFMFCpqLQoa/07Bol9ls8dLu28CutRYM6cORVgoN4rnHfhO5PPHxMTLKWg87LI96cRWq5RvUUDatGkNf78ASSVV+pJdjz3BBcvOWLJFwWK/LAYCb16/RomPP5ZaSSWkFKwItGrZws0u4RyO+f57rF+3UfOx9iJzZvKx1FE16lKZC7XZdPxR/1P7vbYJjUFfkoKliZJ2Y+Vb+F7uG5lMuHnjhpQpMTf2yWefSic9XRC4G9gAg+qT0ANttdsWSvPWv3D//j0hvpF1QPPGKJAlUZ98+qkstjxfz48YBsLIk000uDi8L30bfp9jY26RuBN3LyEMlrCRgnL56l/Yuu0E4E9YQ4cVTILNcINyHPw+hc7Pz4VHDx7gwrF9ePH0ITJkziH92C2x0fAPCMLn5b9G2oxZYLOo3qs2h0X8LJpDmkEuqM0Wj9i4OKRIEYiZkylYwZ410nwCJniJzVFLs9f71V+uimZkITALd69cuSzzQEggbZq0XhqLpp+wC1M2BEXPnOG9bEiZMpXAAHQzeC/ytZjX1C8qEOKFPBSBY2ezYGKHnlSTbgR1+MlT66jDColZsSRNIT9MgJQN8+lLEHWtXauml1wdPHgQP+/e4+5Yx9o/ktmIbfCwJJa062gOUwJTpkyVSSZZj9W/q1evkZfloT9Edvft3S803r59eks9nK6R+PwxY8dKxMQCzBrffouJEyfJxPHojho1anhUO9HgAwex6+c9gsEOHjzQTU1WL6u8mktX/sSOnSfg8uMRJlqzXQH9tHOQaQ6l8asTMXFvcWT/Nty+ypM0/BEYEoaQ0DDYbRbYXTYU/aQUChQsCrtNnQpvd9hEa7EwlWOkOaNgxeiCNWkIUoQEY868ebhz644c0En6NRPDzAiw7L1X7566CyrjuPP7H5gxY4b4mq1at0LRIh96+Vi+i2s0V3/88YfqMu10SJ0ge3D4Wh3Pzy7MnDlbMDSCwHQtRo8ag+joWBQqXFCa6tK6UMA576xXIKuFU0uqNqnjbk3lS5vRF5TU5O++qyMVLaTN8HRN4wsIjhU1XzhUK1csx/z587F//yHZcdu2bVZteTRM8tHDx2jYqJFMNB3qjz4qKjgWBzh0yCCBG0gp5s/r1q6WydUHSLPCUn9qpoqVKqFHt25o0qSJmNXmzZtLgw23z2AyCf0mKnIuTGYXtm7djIwZ02vzpo7xoGBd/fUetu84Dhc1lgZ0yp+URhN9ej852NFktuHm9SvY9/M6BDrsCDQHwmYyS/THwOJ17Fu4ApOjSfP2CAhIzt4hAuTSEWa7cNFYFk2w4qmxAjBj4hCEss14z3CcOXUWufPkxpIlC1GtanXxsdjkd8XKpWrMmsLgQZjkWFGwJkwYLwcAGJ13FcEl7vvwEPJOnToJ0ZDl8K1atPDSWB63R/lcLP+6cP4iMmbKhC1bNqJKlarSU57pGnLhunQh3GCSKp1s2XIKzw4mJ+ZERb6/Elp/ELUIueacHJ4jQyfQeLFQYO68heJrzJ/Pg4CWSLsgOtpr16zyyppT1bJdEAWreo3q+LDIB/jhh3GSae/dK0Iqb5cvX47AoEDMnzcP2QyNbum3NGnSTNDh0mXKSopHCHZWHt1bX05u0K0kpYJUl/nzFsHP34RVq1Zo1GRNfDRHnKZwx8/0sQIExxKTbvCveMaPH7FpRwyWLYpEzjRBaN+kPtKlSQe7y4w/fr+FJ08e4fJv17H/zK/I8+EnqFK1Oiw2foewg02Ej3Nns2im0BKPkGA/TNc0FusXz505L/ALOzDXr9dQGsYRx5o3b67m4yg+/eXLV8WJ53z98MP3Xp0Gk9Y+Si5JWe7Vu5f4feR2NWnc2Gsj+mq78Ije4BlCbGyyYsVyNGhYD69fRUuld6NGDdCrd29RAJ07dULWbNkk0OCDpk6ZLNZIvxL4WEbp51nBtL2EEDz0CrUQ1Bh0Svl50oXZy4mD5+KGhAZ7dRQWKktsnGgMMkvpO9Hn4IDoTDNIEJoMgGBSO8Q/8zi3ilrrElotS5rYD50/c0yeboAKd6G55dh4MUJVhxZoZlCLRq78cg87d52Ew+xPhqP83umnfCxGhX4uxoh2xL59ht071qNy8Q9QvVpFpEiVBkEhaeCwROPVk7/w5PFLLNyyHxfu3EWLFh1gdZFy5BQ4goeF0mey6oIVH4/QEH9MnzgYYSEhiImPlVQWwVLOH9tV6n6LKtLgG6jIkfNK+IC/Z3c/46FVXrvdgDPKZoFLNCh5Xvwu54psFF/Ixoh9kWGhn1HIQIynrZGpTh+VbFj6y8TuuA4UdL17IhWKDgsl6mPpEkx2AwljfEjVqlWlsjepS2/Vo3O/9UO/3ZGL5vl7XEHjidEQivO69etl4KSXZM3iaVX0PohDaSpD6sXlwtq167F61VpVRDk3Uqg9dGZJJ54+fYrk5q78chc/7z4Np5mHH2gmxE8dN0wN5u8yw+yKhyPuNeJjn6NE/tywx0YjLHUG5MpXEA7LO9y58SscfgEITp8NsxcsxQdFP4XD6Qer066iQ3He7aJZuenI6wpNEYjpEwaLjyUVaZ4JEesQF2tBzlw5ZZweGrhmFX1M3fuQ+GbNW0qmolChgtJznuwPbm4mtzm3I0eNFqFgRfu5s+elBJ8CuHTJIikdYzEH/Vyi6ao/vJrjS5cuYujQobJZ27RpI7WEo0aNkbkeM2a0YGZGrEvWx/sgTFX+xUMjKVgN6teXNkYJF1nxnNTaqnyYihTVyQVwKZ/F2/6rvlkul4YXASCHe+GCJUKYI22GvQn0Sz1T9yG878XoxZerTh8rcvYcRZvZukl6jx85fBwZM6XHmjUrRCNSsHbuPg0XUznagglGpR3+yC5YZkc8smcMw7PHv+Oz4h/gzJEjSG5WPbaeP3+C23fvI0P+wqhQ9VusWLEOVmcA7E4/2EEHnlGhQ3PcbbDGxyPGEofQkABMnzAEKRgV6glwzU0vX74S4mLjkb9AfqzUfSyfneyZa28sz3fDExNjOo0wBY99IdxAYY+IiJAok/wszg95++Tmk/1LjXjwwH7hxytTmFZ8VCM4zUYm9LHI/iB9KUf2nHJoAlNlc+ZEvj+lowsPqcms+efPLHQ0lmZ7C4qGaRh2nwaq68bMLXSeCXBjufJPa9duwOZNW8UvYi4ws7FC2Qfn8Ai3/hQl1EqgTdi0eSvWrFkjO42FGIsWL8L5c5eQNl0aTBz/k1QVX/n1HnbsOQWTiaZQ86/8nLCb/BDk9JfTzkyIx5dF8iM6+oEcjPTy6VPpJJMmdRrEvn2Ni1d/QVCq9HKe4OVrN3D7SQziTf6yEXmGNk2hxeqEzWKF1RongpUiJBDTJgxGWGgIXFRXblwIUjfIqJB1f6oHmAKD1SY0NKzTUBff4ltde/OzTFqT6pK/QAE0a9oMo8eMlawAg50sWTJJwQXvzRZP1EI6zZmns86aFSkai5XOM2ZMk3nUYSXCGmPGfC9C2bR5E8EGx4+bJEjXsGFDBOp4r4/FXxIKIP5D6aA9FWryu2jBkpjL4+8ZxVBbkZBnPFKDL0fKKtUv/QECndI12eUSYiChCBL3lB8UIg10uWP0e3l1zvMRLPob6nQvHhhOO6+NS6jJIWL/Y2PiRA+Q4ssxqq7JJulszD8vXbuHnXtOwWxSzrty3F1wmvzgB3/4ORywOmJQNEs65MyZDskCTEhuduHtqzdIHhSMt6+eISBZMviFpIDd6Y8LV6/j5uPXsJsD5URZl4MOu0NqMvlsqzUWsdRYwUqwaArfvnsLm1X5WJw/mWvSnNlFORX7cCkwWOUg2d35rZovOWDdAz7z3zgfDIzku3IvUrdJcyYt3Lt+kZ/jvWgICCnQVFOg+TwKE9eFviGFh3RjoYWzA3NAgMw3FQ4van5+hh2YuW6kn+u+33t9rFev3ogpZHeZhg3roXChQoInUc2PHD5CuFg0YbwZbbPKXykp4GDr1mmA12/eClm/X78+QpuRzjE1a6BY8Y8wYiTPsWER6GBJjLJDMU3hqpXLheqrroSwLHlcPAiTgsiTsD4oXFDOhKbgywECr14hKmqeTAbTQZMmT5RolcnwVSuWS43fletKY5mhCj6chBjEktMcmmF2Ag6XDSZHLArkyYaUiIEr+hVgc+HJ42d4/fIZsuXIgmRpM8I/LCPOXb2JaIsLdh6tYrdL2sdCoaKAxls0waLzHohp4wchNCQY4RHhOHP6rPhUixctxDff1BQnO28+xSDVtQT/1OEGzjU7+pFObNRYbPTG5mz58xeQMrXqNWvJ0S1MBVELubUImNM9gp49w2VDsmzsxInjcsYPawvJkqUpvHjhMjJlzoANG9ahevXqePnyLb4oXRLNmzUXU0gB7hnRQ4o3evfqK5tj1szp0m3mbzUWfSzyne0Ol7SqLlKkCEaOHCU7aMTwYXjy9Blmz4lCkH+AtDpkdYk6lMklFbw1a9WVRS5TphT69+8nXfkYUdSpU1teWHWbgdyLOBZ56myUsW7damEoKCFNKFjsgcAOzIwqWSnCBmeDBw+V9xk+bIhw3pnS4W7atn0Lxo3/CceOnJBGJmvXrERwciVY2/ecElaDuIKMCJ2MBAG7PyQqNDudsJpsCDI5UThdcgS+e45XL14jJFkKPHn6GMlDAuGfJj2eWJPhyesYuKhdHDwCl867JljMGVqssOgaKyRICVZwMHqE98DJk2eQM1cOrFjONEwNAaWJuq9du8rdxIRzcO7cOakIUt1mJgsr1Jg+0bvwSYn9kkX4trrKFdJML1rIUzo81+GjR8TFYVM7+ljMo7Kmk5qMh4WzYzUFmb06tm7ZgKrVquHVyzcoW7Y0mjdrprrN+KtuMzwrMbxnOMwmP61V5D8QLIads2fPlmiBWXH2K9i+fYeEsDWqV5cDADhIegHt27cTdqF+UTNFRs3TKK05pXyMiWaavBIfFxOcSj8A6ttvvxHVTRoJBYv3YspCT/n4Rj+csLlz58m4Sn5OajKBvK0y0Tynmb7FIZ5XaDKhW/cu0g2QLSGpqtt3aItkgUG4dO0uduw9DbNLZQeccoqaEiwKmR91mQOwmO2A1YIc6QKRLPoRwlKkxtMnLwRJz5o1E2IDQ3Dhj1dwmHgWIE0gKTR22JyEG0idocbSTKGVzrsSLJrCVWtWy4HhadOmk47L06bNEB4/AV32L/X4VmZhjbAw1WT2E+zOSKOhSSMGSCYnkXC27iZlmsQ9As2MCo0Xj7+jD8r3bdSoEW7fuY2LFy6KT9i7dwQ2bdyCe/fuIzRFsGCX02bMQFwMjxTOg89LlcTKlavldl99WVHK4FatWi0arFmzpvKZJKNCHceiL0MnjikV0i84SO1t5Y/HT55K22juInKGHj18ICAmc3FFinyI69evC6YUljIU2bNlF+4WtR2BNzqoui6iBWLroMePnoowFf6gIO7ff4zot29ExfIwSl//TYykZnapFdmDgTub0SSxIZ7AymRxkSIfqNSS4fQvCtKla39hx+6TMNEUuohhKTn2I3VGIkMzApwm2E12mBxWhIW4EPj6LxTIXwiBAUGCuTEK/zPahit/vpZD001Oh2I4COOBqDuT0XbYLHTidR8rCNMmULBCNGXsaUVw+dJlQe6DQ5IJTGCEG7iJyS9nliN3njx49/adUMHp55I0+fudP+RkMbYIYNUS/UhdoxEDvH7jhqwZ15DnRbNIhL+nhqN/RoYo152N2pjOYdU5weoPPiiMX3/9VVvHMOFbkWLDqc+aJbPQk9WLGJPSmhOTVCU0TSEbmzJMJU+Hp24Z4QamYGbNjhRHkimdqKgo7Nu/D2EpUmLT5k1SWUNN9MUXn2PQwAGoV7+hVkpWG0MGD9ImTkWHwm6Yv1jaWLFka8rUmVpz2xTSVY4AoibVcsCr0f3avWcPBgwYLCHw8GGDJfXDCmYK/I4d20QDyAmibkk24dKvmmCZAmCmYKncM1w8FJKen8mEAEaLoGBZkCZlEN7+dhIPHz0WGCFd+vSKH545N45e+ROBGgDLFk92nVJjswqwqQtWnJXIuzeOpZFW5XXKli0ncAN9LLJojUn68+fPo3Xr1mKCpkydihPHT0r7TJov0ovYDPjS5QvCRl2+bJkch0dNRgEjt62dxkbt07u3nFXdtWs3cezZMoA9RFUXHCsOHNiHgQMHC1OClUiEGypXriwVW1+U/gItW7REh46EG4BeET1EO/rSf4y+oSiAxLomM2lJFdmoUUP069vHS6UuWLBIjhMhKr9y5QrMnTsXXGRWL2/ZsllaaDMSZCk7y+jr1qkvUVCdurUxdNgQzYdQO3bmzEjwfiyxJ21m2vSZUrPGiGb7tq0INgiWIiNonWA0hmP//gPFGaW/xt3HhC2bglGwWIyg1LP2PRdw6de7yscyqTYAhNvosAtASj+R2JvDIfhMsiA/FM2XCa/v/IIHt2/DEv0G6dJnRNps2VCwVDkcOHcDL1+/lYJbM511pojsJjGD1F7xtjjYLST6xSKZBpCmDEkurSmNV5kyZSUiY65w3bp1Bo3lwrlz59GqVRv4B/hJbR8PSHAL1pFD0i7p/PlzyJc/H1YsX45gMhS0m1NI2rZrJ1q0b99+otW7dusqRMzp06YLU5U4lkewBoowZmJHv21b8dVXX4olIp+9VavWYMskCmyviHC0adsmSdaL/m4JBIsPYutEh8uF3DlzeXUB5pdu37kjdGRqhvLly+PWzVt49OihnMJF1sHhI0elapiHOtIkHT50RLQN20EzCW3UfvzuzZt3JHHMzrw0m1T1jPT4Yh6Qzhux5zjY6e7ChYvStY9HqVji48VsUJDYCJbJcF2w1J9m0Vjbd58Sgh+toN3kgtlFQfKDk2wHQJzXVGGhuH7tV2QNsSKlvwOIf4fo50/gFxCEZKnSITBlWhy6+ifyflwG7AIV9/otHj78Q6AKC6EViwlv7VYgliwHCwLIICWOlSJYggXy5fUWSHqTD26mChUqGGTOJYdB8ZwivwB/fPrJJ3j27Cn++vMvEZZq1apIRMheDaySKVuunFCX9IsbjcAmOWR0K6j9T58ihmcSpiobttA/o2WiL3zhwnm8JKySPJmcbb13z24x6cxc5MuXDydPnZYxFypUQEypbgiSygQkECyGn3SKqVJZzkWIn70ZuDgskCC3x/fyBk49v6VDvWPHTuGIkyFJn40HWJJMIHTimDhp7U3/pnr1b92l77rweZB9TesY8oh0bI+fOCGCVPKzz9TLGsrDqPnoCzLHxkCBZDnRWLtOSmEFNSDRcifs8AsIRNp0GZAxYyZpLnLv7l+Ij42BnyUGOTOlRKaUgQJBOBwmxNj9cfdpNF7Z/GFzmpE5T3ZYXA6Emf1htb7D73/dReA7O2JhhS3eglhbHFIE+2P6pBHCx9L9En3OaI6Y4+TxKVxwNm7jgjKyS5sundCKOD+sBqfPqqhpGpfM5zQL4yLzRNn9+9lyHCheooQ00HNrE6EmnxFOFoOh+vXqSpRIHjxPiGUHa/q5+hipOPbvPyja8OMSJVCocCF3TvhvBYsP5Y3oH9HHstocYgo/LFJY4Aa+7OjRo/DNt9UStIQ2LqjHoXPi4cPH4IlU+oFPnCzmr6hShw8fJn0s2QpRTOG61ciZ3dPc1luovAWLP0n516DBkqAmg9S3/IvnJfMwAvKeePh4SPIQXPrlT2zdeRxm+EtPCBvsSJspg0Rov/9xV/osUGM7bHah0ASYzYiNeQs440TbsP9WnIXaM1AWxM8cBEcQYLLE4oO8uZAleyYEpw7Dw9//QHR0HC5e/hUWCznvgSJYKUKSwWZ2wd/l0SzlylVQaHn+/ILtsQOz1Rovke3HJT4WU0iu26RJE6SnutvWJdje3vlTdqEhzkWNFREeLidwGGGc73/4SUwvA62DB/ZiwIAB0pOeKMCOHdtF++lCw3K1jp07SUk9q3Ra08fS2CF/K1j6Lnj5koJVAzYraSuN8EGRDwTUJCVk9KiRoll4M9Wkzftl9HdVks5Dhx6Lz0UKLyk4rEIZOnS4NMYYNmwo2Ije7WNpgpVQ+yk/ydhIg59hu6ABAwYKNZlphTrf1XZPNcfWt98AHDx4BBkypBXALyR5MC7/8ic27zwGk5PkGAfC0qRCzgL5pByLwsawn4tIxRjLc5ztLrpf8nxmIYhTMfSnhmFpl8NuRpYsoehcowICrlyBOXVKpKv8JVw2K86cvYj7T17h99/v4cHrZxg1tDdSBieHw8VSNEWz5jyWL19ByIy6YLVr30kgDLbjpnZo21aVgE2eMkkdmGXwbvQ18w31OREULHK5SDxhiT1bYhqv73/4EWvX8sQMChbncgAuXroiFVH0UUkM0C+a1PYdOQ7SnXpJj6yESKP6tC5oCUwhYX06hFShfAhtP0/34uBpazNm0Al0iWwZwz9xMQiMknBGn4A7gWqW6pcPz50nl5QXsZqZgyxWvJicIOZ7eWtDz2/pQyifyiwRVaYMGd2hPMf+2283pCMznfmPSxSXTjFXfv0Lm7YT6zLLhH5cqiSOHD8Jq5UQgep8x3+nb8eNYbeSuGcHEz6qq45ZDh2ncPibAxAaZEL/+p/iRd+RMB+5iLAW1WDKX1jygTEhyeEICkTy0JQIzZEVqeQkL96XKL8n30mTRGtAejFBUrJxWdjKpDExODnIwGQSKILdahLre2o0cfrfCSfo1GRCFYQJPJdJmvU+efxYAo3PS5aUdkiMAoOSJRP8UhhM2kUnXqqpzGbkzJFT+FjakVtuJeMWqMTgBt3J1bPpXCA6yKtWr5UJb968iUQKO3f8LJNPKIJA5KXLlwXZHjJ0kCQnyeUpVDg/2rVtJ7ZYYWSKDaEgAAUD7NixC/v2HoB/gElQ+m3bduDqL79IVfXgIYPw04/jZDezp2atWjXlSFw6w3Qu2T2FB1/6+QegUcP6KPV5SU2wWGViwrwF83Ht1+uSFxs0sL8ApBev/olNO4+o8gyTC0VLFMPBA8cRF28VomLy5CFiCjk+u9UiHDI+j2598uAQSdOQJcpohBBD4xplUWTVfATCgdCsufD8yX24fr0F04N7sDWsjxSF88DPyeJVEzI0awD7/9PeeYdZVS1tvroBwYyYUDCCeEG94xVMRAkKihdBkCjQJMmhQRBRycnQTQbJCJIlg6CggCQzCpLMenXuNWcy3TO/d+11zj67T0PrfPN888csHx/ghH32XqtWVa2qt946+ywdGoSYCkyJgxw57U8Z+9hxk0RuW6dObbvrzrtCwhAk8ENwobFjx0pALrnkUmmlcGsWXueUjCmENYhY1KSJk3Togp/Ud6rw2m706NH2yaefq5Rs4ADIVuLmmtjk+IkTNL9169S1Cy+8ONYPkb6KpUsntnmR5oqGG6JBr7Vr19mAgYNjpvDb777XDUKwRvevKZOn2KsbNylBTYl9o0ZNdfSHLgiUQdwnSMQ+8MbEiVTpEG7IrxjO6DFjFV/h4ehsWr8+uPifdPqkIWfDhqSHDluLFi2sTOnS1qfvo5qoAf0fT/CxmKz0Xj1t08Yt0pTysc44XXWFS1dtklCVvLaU7d3/sf3++xE7dOSwnXaaY0KmYoiENig3ahaPHj4UABBdAPTYMfd/av4T1q3VvXZuk+ZWqOot9tvR/HbmlRdZ9qYdVujwCSv87CjiD/b9vn32yxdfW+lunSyrAL8RLlBJxJSBIuBYj3B37dJZAuA2padJCuxyIG5prVrZ+zt3WYmSJez5ObPt9NNpzeKuSbiBBgL4UA8//LDCDZ07ddZ8jRkzRkR4YU0Hzurtt98VouPFNWu0JnFT+Ia1bddO8TT8tcuvuNLSu3dXaIQ45p+qhCbyzi1SQAmnJuqa8iQEa+b0WVbgNJcnmjlzpm3Zsk1HXgQNn+D7H77XSW3ECHgqEycvbOpmzJhpz82eI0dx1qyZNnXadLWVwwRQvt+8eUtFiCnq6NSxo2sFd/CgWtpiGmAn5ogJLv+ee2rFosFoAIBp27e9bhdccJHNnj1DdYU73//Elq/aYkeyjto/br3FVq54WVwGUABQmQwCAw1L6EHPz3bn9Hgc/PpxhVQ4nlM/aCeOWHq7+lagXQfL+tsVdqJQAbuw/E323aSFVrDw+XZu91Z2NPu4/bhkjV10+eV2aZ8ulnLO+TKDpI7CPorPepDx6NK1uzYx/hElW35w2IDhJzzgYtj1/i6lVFjgsGDR5QK4MesGvPmy4pdKwEhoDx8+3CpV8h1W3aFN19rleFYXLVoUC/XwHoHa9J6upTCl/7Q8efQRWBHBdmXoNBv2rxI0VtS3CTuG3Bw7AfXI6xQMkDvkNCfughOuKhoYKzuE9cifL1XvhwUr/FlOhrqWvgs7Xn4lczXJxvfzaRG9qua3uQ8+65iHTUFc7sv9joP8sGCkl1SKdcIVm+r9VLO33/vYVqzcYkdSTthVpa61des2mh0/GkCwC9qZZ8OInGLHjh9TPOfQH4cF92ShuRfSOvwuz4Hz37XFvVakR08rXOR8O16qmBWqWsl+Xb/dbP+HdqjaLVa07M324Sub7bom9a1AyRKW73RSOq7zqnfCw3E9/k7Unmdh3nhO/ZaYkN1chudTZf1ZHptl5QAAIABJREFUWfqce19LqqXkfuE4gx6AFoBsGD+ffDaaLnNr7ITMw2D83PMbR446Nmt1/CAGeMx9njVPYJmJ+li5CVb0dfrhLF681PKJpGygrVixwt58820766yzbeTIYTr1iWv8uuuU3AxPxLZt223ylKl6dAoxXbsyN3gIJzBhk5kI6vNoVT5Pifi48ZMUeW/TpqWi/UuWLNPkUtxJAed77+0WQG/48CFWsNBptnPnAVu6YqOlUlSbL7+9/8F+9asuWKCQcmRqSpmaKnw45jB/Sn7LokBCVc7HgxZwqXb40FHLSs2yOrXK2p07ttvBuS/YxX272ddrXrOiTerZdy+ttqvHZ9iJg8fsm13vW1b+QlbszmoOXJgPwUrUPGHhCs83vs2QIUP1jDRaoiNYyADkQPaG5/rAgQM2fORIKYGmTZvYPXfXSoh/hX8nLEDR8AHv7dmz1yDWZTRp0lBAv8wMYNQp6mpxww03nFxj+Qf04YSwp+/fo/yLzuxoHBiDp1L+tWGjBGv58hfsgQcaKWJc/vbbnI8VGqvXvCiSVK5L7Al+hvDwvxcOOfi/x2DPQUoE9CMVLyzSAJgGf/he5V88LE2GoEN0zcaL2uLF8xUo/eWXP2zTa69bgdMK2s+//iII0OFjHP+db4WfyGFAsOqsLBfJlimkUOOozAO7mZ1/7PgRK5SdZQ/Wucv+vWSR0je/ffofO/Oqy+z4wZ+swOUEklPs+JHDdvjocftHqxaWIo2VM0QTFSz/zMBmaNLE/T6T8YxVS1L+Fd34fpNiCmGr4dCFv5nWgvxe8lL5+BznLCVz/bbftPYdoGjPtp69euhk2LWLK7+jsuikPpa383w4mV/kX1uzZo3obzAvgwcNsqXLltlbb72r4zLwYjBSENvfcP11lp7ePeFaxIueneRw6W3atFY02f9eWJhym6xw6EEaa9xEdYBo1aq5jsrcFxHjZ5552p6fO8fefec9O6/I+dKkBQs6cF+MJ8tNc2A4PIY/IKcNYMA+7x0rlHSpyqDo3xVFCCeYxUkRE5EqLL3CCUEfH0rWVVQWBMRII1HgH8uNhzqFhbU3z0ql95AhFC2kWo/0nlauXNkcvlmyueK1Dz/80IYNo/A4yxo3ahwr8M3t87m9zrqQHUFj8femzRqrve8zTz+j+yKoC2YvaqZznAr5MiEF/qRsyEGTf1eU0HemIDbqK4kdpPWYdidHe9qaiW23QAE1qo4KaViAQIMC3GOxgdZSHpbbQEs4aLIpDyho8h8BzPnMM3W/OPYMD5l2msBJgxiE4WPID9T2jADyyzNSllZAHSEwM2wQCD7U5QKYM6zIka7EfI50UGp2PvmFaD80HNF9fBdBuYFMn32mHP1Dhx0EuPB55+qE6UyhEy2/oRXiEBT5N4Uf6KiFaQ7PV9RMMR++MwUggJ9/dnBi1sz3WPTzGf1uXgWM6+E3E/ZhnHHm6ap4wnfzfnL42jErFw03AD+pVauWHT2WpdMX8Y5+/R6TdOJTgS4NpkQ/1KdPH1u/fqNw5StXLbW69RoIwlKh/O02YcK4mEZy1dGJlbvjx0+wSZOnqFwfmEyYyzL64CRMieJjkpo3f1CJVbL2+EQDB/SX+SVuw30CtQXd4IlEmBz6FEIpBEwFiO4DTZoIeYC5+Pt111vX7ulakCdHDLcDH32kCu/UrGxBeD0ddXDud8iIQF3t3/+hNWzR3E4cPmrdOneyy6+8Uqex/AVS7emnnrT33n3P5s5fYCeOHrc339xh59D2JHQkDFsKzFfzFq10CoX7tMND7RLNlwsExnhKW7RIUycPcrpUOdWoXl2bjyqdOXPmJEzhqQQrbA7ZYdLMgTaloietlSsD7NOnl7Vp29aVsCUZuQoWpBxQNB4/lmUNGzW0664vbQMGOGjyoIH9XUqHH+UEli/V+j36mL3y6mY746wzbPmyJdaoURORhIDHgqo5XsIVBoW5mZ04cZJQofgQpF3AvOfmyH711df2QEOYa46JHL906WsEpwUeS0rnh+++t4mTJkpDkuu6+OJ40yGohypXqqwYGDCQrl07W/MWaUJEtExLs+vKlLb0nr0UpacRJggOQiGYsc2bNuVohBk2WTjJLdJa61qdO3US3WXv3n0kpFQvk3mArwI819atm3Wt3EIwCFabtg+JB4LAYzsWMPgx5wa48If34Nu2baeuZKSDYHOuWese18X+xhtFlc6IsKrGRCHZPWjug+B1OCcJYZvrJJal0npiXmFAol+zhNNhVGORECUKy7GX+ARdo1z3qhNWr25dZd3jE2tq/7Zv34cyT127dbGJEybJdJL+AbaakDX1Oy64APAcUAiYQGItZPi9eYifEJ1AghhFEME7EdeCCNbhl1Kt7n33qUER1+Mn4IPyzZT89eCDwmyULHmN1ahRXTgynrFipYpKd8wLoLbkNL/95lv1rmZR+valx6BLNSVbDGgEiL9xLVgJQcoiSAgWRHRffvkvFc4SVoGvQifP8NEuaCvH9elXOF0CnW3VqlUXU3RIQYXm3TnZUEARrSf19lD7hywzI1MVygh32zYO5uzv22lG/+/kz6K58t8JOfoQFj/33CzdFwBAYmDOGuTkjshVY4W1Gx+CdwqMNoPCCaLCdAElLlKmTJmA/sYD6uLf5rskazmqIpQXXnSR/BdYUPguuTDPLuOdcjDqv/z6i8BomDrSOxzzKYu67LJicmaJTaGNuBZURTwgjR9Z0Ny0XTKVHZ7w6DPndp1kggXdJWEBNDpN0Yn0xw8ZKfblv/5lQFhYBOjNk3etd2YHH5H8JzWK1AdAyQhNFAOqJg4oVEnhz2HuHPw6ziQdFn58ov0HPtRnoefGX4bmk1HqmmvUYSN8gABjh0Igo0L4gDWKaUknnrENAQImdq1S1yTV6DkqoeOT7Bxf9XEmRGApMoV07JowaYLMxrx5z7sqndDDuYodeffCQ+EXwVxz//33Kxnc77HH5eCC+swBdenVO5TSWaKGnJhm0g8+pXPoED4WVTplhKDE8YaB2V8rHLKI7tjcBCz6OtfwgcewkEU1De8hVC3THFkJ2QHSMK7o1C3GyJFPqic072/fBjrW1Q6G783TLxL5hkyNwK8nXktrmSbtR2UNp2oQpGzUzZteVVFD7DpBjXUYQYpZ9T2hr7zqyqCaOdXGjRurOY0LFnFF1xMaBbB27RqhG5zf5fSYz/HyLyij8FN5f/r0qScv/wpPrlOZ7hZXr1pj/R7rLwkeOnSwagHHjh8rzDtwYi9Y+nDwVJ7wGpQnwkHTofr168cECzMHbOb+evViwDU0D3Q7mzc7P4RYVJ06dVUyXqVyZZX6N6jfSIS4LVu2tOtvKG0PP9xH+bzBQwZa3brJ6bi5rTBvZviUFXZY/eZIppVi6j1Jegofq2kzOmYctq5duogvyi2EMzfDR4y0+fPmywzv2OHauXhhjf4mtI+t27STEHbr1k1kdM0fbK5oN40GIJjFzCIsCGlYsMI+D8+MkMD0g4mm8hmAJrRGzD2HKlC2YY0F/BhE6sWXXKQ2eB6PFS7v9/OFywFrMgKOLwertX8vhymM7lq/GDQHpyceXyA/R17t088+tdTU/Fau3D9kkpLtZK7HZNOOTbCZSy8RyT/5MHYyRQmYDT9Ikuz9YK+6QqDiKYLEN+EUiMnEFNBbGWV4+RXFFcqgksSy89nfSpdSQ4JkI5lZCwtXXrWY9E9EsLgO5uOdnTvlnF991VU5TrY0CPj6668UgiHTEOZECAsY1+dE9w5wa0tRk/PChc+xne++q1uEfI7kPuBIFhs/h2Btbqc9roVw8Rslr7lGVTqQCaMgMHXhjqrcG58lXFHw9EJW/rbbY1kQd31nvbgWgvntt9/b7t27tGFhS/QCHr6XBFPoJzl3XyWKUJA+iHRld1eJL17ycyk3sWvXbgkt8RBYfymVz20QGwIfzg6kXQeO/o4d2+W8Q9VNIjY3wUKDLlmyVNgqMO1/v+EGe3nDev2b5pyUmJP8xkQj0MTx8Od4Bgjj0M45Bcvh8ImPbXjlFcWz8AshoAPmS5wNKDeV4vF5zZJGZrMSZ4IbI5yzQ3BAihBHQ5BICL/6yisSHk6zxYs70hSv6V599VW17vPXWrlypfxavnfjjTcKmuwW/x8q1QuP6Cbhs1zr9DPPsHtr36sQkB/4iPwW3+HwRpZly2uvKVFfvXr1GDFuUsFKFCYqVlxYGXnNqZFIjEZzXskEKDecobtlYDOKF+XLZ0teWCzezNwGcSzSReTpiGMRBqE5eb58Bax//8fs/nqJ6aHwJuHZUNc0nIR5uEvnzta8eQtp1FatWwsPTmQbv5F+yTimnLj43pbXNovLIDzC20vhhhYtxQxNiODKKy63nr0eFofXiOHDFBMM30uHjp3t9dd3aCNQPhdnhjZ7//33rE2bh2Q2YYZhETFRCB8+FgUm4SGoyzvv2NVXX2Pz5z9vNWtSBPyT3XRTWTUwBQ2C2aSRA6jPZIrDK4BWrdva22+9pZrBtWtfDILVyiuoKIOqaz7bq1dPu/zyK6xLV9cglVL+CuUrxK6d66nQ/5AjV4wDYRMl3O3WqEkJ2+OEhciFzvDZZ6dIsJi4xS8s0ukut8FRHGpvWvc2a9bMSpchjvW4TPITT/Szern4WO6YnW2VK9+hoziVMJ06drC0tFY6VOCvIVg05kawBg8ZrB4+z82apR25aeMr8vmivlngHCp1AtMgYMEOHTpoc3AtBGvY0CHiGAsvaOcu3e2NN16X2Zwze5YVCqFmiWO1F4X2cV0L3imERyX2mc9Y1arVEpLQBHeBtFx1dUnhse6+p3ZQYn+jde/WRcKAxoLGqGXLRKrI0E3poJXWqo29/957qsdctWpVAsIBlwT/jDXnWghWtx49FI4BOnX7bbfn0OgJKZ1EQQkHNGMxOV0gnN5yalmv5pCJnL5Mogb7n//za5VxIViELsK7N3oxtAuhCwKzgNFIKhPIhImPEw/9CZMNL1g7d76nSUZIil9W3Pbu2at/4+eRPgFxybPg2/BbnGjBt9/4P/6ewy8KbzJCBJhN/BTCDRzruS9SN1wLMxs+NeNzEcSE0RCwIu/56xFDdKGLbLEcn3nmWbZv316FVIiuFy58XoJg8VmuRYqqdJkyYlhGQ8G2TPXzgf0HtCFoJRPuleOsU7AWLsSu3yVEgd8GLVH4GfkNNDOvFStW3IUuPv5Y36MCmzn1I1eNxUUeeeRRQW9rVKtqTRo3inXESgyfORM5Zco07RrwS0899WQCnSEReCp8sPugQJmcaVOnqwye6HnFiq65j8cd+aBoeCH83+nAMHDAYAHu7rqruj3QsIFLIgeJvKhf6B/QC1bXrt1EcUmKCg70vDjwoelPkNmOnTqJAAU+r6FDh8bjZwnRzMSN6TZktmWOGiNBJBbX/4nHY3FA3ke4n3r6GeHB6tWtJzbi4SNG6ITWuUtnnarDxRTwXaExixW/XFXmvXr3Upl8iRIlRUzMenBya9y4sdWq6Uyy3/709qYdDSfQsWNGyQH3c4hgp6f3UtCZ+cL8+XlkXqFYzxw1SmVpj/TuI4jUKQWLuFHt2pR/HbdGDR+wPn0eTlDl8QVzgkUJ1suqhD7HXnxxjetMEQxOMPffX1+7iDgWDqXLO9L9izhW3dAOjC+jF7awsEBY0bBhI9Eqtkx7UFgvNxIDhHolHFcLYlJUHFPcQaTdpZpODiFBLOLs5nG54tq33HabaCAx3cuXL0+uKeM6IbZgPE+nzrDN4GNdleBj8Z7iWG3bCmfPRrip7E0qbyeompmZadWrVU/QJJTfA0EuUbKUM4UwxPwM28w/rFv3bvIfOVQQbkgLSEK8YA0ZPFQ0nWjnLa9tUvTeD07x1avXUHD89ttutSlTJic8I45+565dpBCmTsmDj8XDcSKSkyw67gaiHExchMScHxoJ7ndOQ+T7gPe65TbRFMEmd+TwUbuv7n1qKTtk6DBFg+l0Rf+c3EZYOLgvTBOOLGw4zZo1Ub4vN8GKXhOTV6vm3SLaLV/hdiWH3UhsaBTVYviZiSBi961q1WsoN0jqZN68eTkeIdnZ2c9hj/ReCqNQYDt1CnDiOIIBpmMOAPhY1ARymuNPXIWRI0eKjjs8+Cwm/sqrrrYZ06eJRp31o8yOcvoOQYdV/KJmTR1rsh+0hFmy1HWmWLd2rZx2v5EdFTqUSK6L2+hRgPriY9OmTdazdy+5IePHj7fbbrnVrXkoHJOkmML5UG5yXBcsNA4qGPgwrzmWZCCvDgOOhDNwWLlRnSVSgTLnl8nwnKFEc0kIu+w+UFkH+WVwLQ+15Qax9fyu117EtnzQ0RFfeL0esAQLinxCAk1z8uhJVvcVNAugaSf/5hmI3LPzvK/j4NOujQlhioKnFcyZ2/MAg8DZ9JU9XIc4kYNMu/YoHGjcfLlnpBCY15gfoEXhoQ4XwTMT7+L/sNYO+2N8z8OWQXgwn2hRv8B8l8C05jJ/vhx+YtR18L/L57lPDi5x8JmTAYYrjUsR5bh7pgISsDwJlsuJu+uSRhg3brxYXYgqU9C6YP4CRYMhtV+8aIlgwnTZGjM203r36WM//OAaBbVpk2bp6Q/rpmrUuNPatQ2y4oFkL1ywQI2C6EwBGe3cuXN1fD77rLNs7Jgx1iM93X7/7TedjmAHdGbPLUUCQ3OK2dJly23+/Hmy+xPHT1AsJ+YzZGcHhRiHBO8FDkQjA2A0de+rEyTL/XVTxOaMiWNyZ86YkSS+5rQ2E0wSmDQVzwjv1KVFi9rTz2TEKlroVEokG79p9nOz1fd61+5dSu6PGD5UhbB+kCeE2ZgSM+6xQYP6bnt7LtJcSuuDO1ek/bdff7Vr//Y3kdPRyxrhw5+NdhgJCzTX7z9wgH2we49dcP4FNmnShCC+5qQAEw1LMnRNLVu0UF3hiBFPanOTQbnxZBykCVsneBheI1f4RH93g0OHDBKcd9yY8XZawQK2cOE8xaLosHr2OWer+1f9Bg8ovwf+qW/fR+RjsaOZJODI4dQDtEPAU3C0lix5QWkLyr/w11auXKHvqsNq5cqqBjnZmDJ1mo0bP15V1uteXBvyGVIkILRl49TDIQLn/cHmaSp/p8kjePLwGDdugs2YOVNai6ZRhc89J8eO9ELLaapFy1Z6RhpNEm4gNYWJGz5sqL27E9jMAgkeAd1+j/a1LVu3i8uCRgeQ7nrB4FSX1rqtNI+aLKn6OH6SjmoZf8/ebahU+Q6ZQjZ1jx7dxQboelH30nNGhSl8wGnRKk2lZGzIl9YRx0IzOaEGNkPoguQ4jjzpIXxA3wiT4G34XrTxw3Tc0R/m33TinDx1iuv62aGDAHVLXlgqh3Lo0CHiWKIejeM/Xetx5n/55TelDWCV69PnEZkGICVt2qCx4oPvAsnBdA0bNsQWLFik1ALH1yefHKHT6a8Crt1o6eneWc8pXuyrFStWCUYDNHlUZqYi837C2ehQHbL4BB0R8oEDh8hM1659tzRNeCxctFgshphmHFcI9TVZSRb5yy++sEFDhupg0KBBA7v0kqI2avQYmcHOnTragQ8/UlEv7MXTpk218ePH2Qd79kljQVkQJqylSnzwkGFyEaBCJ+ofHZ7agNfD+Cf+3e6hDgElUimd5slT8sz4uffWvjsiWC6E5CIPrm/R/n0f2vlFiigYy/p6QaYKevjwkdqgQKHg0AKazFw/8kgfZQlOKVjcOPkvfpDKFez3YXVHMDtD3SSyFWVmAL0ll0c3UczsOWef7W4mMFfx8iXnc7FQMPWKCyGAPfub12djxZlaRmkY19WiQEKjxhyTnW0KaXDC4XvnnH2WHTlyOCgXS9F3/e9EwxDyixKqg0xQYp6LByEmdPTIoRijMPWT4YMFG04dNMxBpnEZDh6kowa/S9eGAmrw7VoFB+VcgkvDCxGtL2Sh45wYXNvDrYm1eZ+L3ycsRJqKIb8wKBOL+2EgNFz5nPf9+Gw0hMJynVP4bIUj/GfPPutswav5N7+JzwVhCgNYsnKUwSKHQ0ThzZekgcCPdtddtYRzxk4TuKTZJRybQ4YOsu+/+97GjBkvHwIWvomTnrWXX95g555ztq3f8JIVgjI6AmTzgkAu69FHH9MN09GAEEQuH5VQVKtWQ5HkatWr2ZjRiSeTqHCBRMWUCpq8fr06mG3evEmnHWDPYbBebvfnhS8zc7RNmz5dWhqN/Vi/vsolEgBdunRpgpATk/LoBrp5YSbS03vKR8EH9ew8J09uxZ8mbO7wXWlMhVbj9FW9Ro0YIoEUV92694v1Jlx/6YXXC7+H//hfCG9kPsP7YOPYMLADXnrJJfbSupcV5Sd3WalSRXW2aJlGBiCfiPjatG2johGHNk3+ZDlOheDV7777Xp30GjVupJav/fsPVMR78OABIkabOGGyBGvRonlqXbZhvQs3rHtptRUs6PvB5DRZmBfhsTxs5v6cqt5/C8FCwPEZKlepYqNP4WNRhoTPRsD0xbVrbcSIkfLXLr7oIlu69AVF16PmLHqHftIhnMXHYtIRzicef0wCRqsPqoTRgH54HwvNQn7P5wrZ6SNHDleuMFm+NefsuFfCgkX74ebNm4sBB1RvtWpVYwsJMvW+evc7Lglz9ZhUqxHc9NfxQhXV0mGzxffYDKzfnn0fiFxl9apVduedNVW7AGtyi5Yt1R0MoSV+2FrQZDfyJFj8CBM0atQYnQDo6sQuhVuUOAHkEqjgDRte1TGzfft2tnnza7Znzz5pBBxGj2pMNnGQh1BUitMHyQenvdw0FrswM3OU8nulSl1rTZsk+kHh63PfCBEZeEaPnun24pp1SkPgeHfu3CkBYnIqjYXGg0mP63IAWbZ0iRLT5513nhx0j3bgfTL/U4AmHzsmshKcX5x1fJQG9esnLebMTaiigsWJ0+VS81ujxo1FvuELMRCsOvfVDeikUkWxxP/e7wpj0MKCxW+EwytsYGJqoEv+/Z+vdXBK756ugCzkusCVKlQsb7Nm0fIuxWrWvNMqVawYPEI88xF9pqRxrAQnNUhGB/vJy2lsV4TLuqMBx5NNoJ/E8G/t3bdfu4S4C0LtISU+FRmEv3RZIB7Aafk+Dx/NhSU62vq1pLsL4UDlQ1PJql1bqpSYB2MgODPbu2eP/fTzL4rTwVkVhrqEd22ywGg0VPDBnj32808/q8MDgcw3oTE6cUIMO3CJAiVCKK66Chqjc9XfhpQOQoVbQKCY3ylerLg1eOABWRaPi2raxAdBE0soYn5V4K3zewMHDpQfiUUjl4hrcvCPPxTgvoXutmL0c2EdHz/0a8Ya8Rxc7obrb9CGi27WXE6FuWXJTiUq/2fvQzyxadNG1fLRMDxschJQ/mL0WxfAZqjSAY1a9y/9OAu/fsMG69Gjp+UrUMBGDBtqte+Jn6B4HxO3fccbOg3Rk9HfV26aL3ojXEP/W4qYi0npoCVoIFC9xl0BL/7Vgmu3bgOc+LB16drZypYtZy1btJIVoC8gOK/5CxbqpLd48SJrldZKTjuCVfuee3SSzss4cvSIOSZB6jBTxaiMKeT0V/RiYDNrQq3iYkYvpkxI6XTs7Jhrpk+bKtiM30B+TnINN+TlBv+rP9O1Ww/bvHmjnXvOORKckwkW8bVeD/cWlmvwwAFWv/79f/p2vD9DuX6Xrt3EJvPUkyPsntr3xCAcfAbzt3XbDucWLH3hLwkWN4f7QxkVgoVfs2jhAsXXqBy/rkwZbZCWLVvb4SOHLL1nd7u53M1qBoq/NmH8OAWrafiJm7B0yRJRdUNCjEq5B8EaOTxPc4BgVaxUxQ5CemJmV1xxmXxQYDv4kRvWv3RSwYKBqH3HjtJks5+bFTKNcZ/r/ynBovjym2/+o+MtmOwwjDessXggTAIYbcIYxFFQ539lIDg0Mnjzrbe1AwkuFit2aQIenNze9z/8qBBJlcqVkjZ+PNVvO41l6qMD+zFoWcCHGzZs0AkY34bYH5TbJ7KzxE5MFBwiFcISN99czkB4fP7F51pQaiEJIHvz+6cE6wiCVdkOHToSM4WAAQkxAMGpXrWKwkze/XFayDkHPAclb9QzYgvh6AhDlpJqLJKuy5etiKEn9aFE8FVs/uLHVveDZNG5Gf+6b5LpyrADxIHof9wgNgXHgutsn3Og3jmBEZuiowUQ2LwO7uGVja/av778WjTUpG1c3s7FdE42wk6AN2GofppEURH9z3trJ0CDyAy8+OKLEg6QmwiIYLypqXZHlcrCZDH88T8aZE1uTp3pBMK8evWL8umohfzXV1+pPIy5IQzQoH4Dxf54H2QDp1A/QMAuWLhIv0s8i2pxX/RADrF8eYf2IIRQvPilAhZC7U1qrkH9eqF5AgDwb1u79iUFROGPILa3fgOQabNatWrGGpiGnyVBY7Hsc+fMtcxRYxOChuFYiAvAkYh2JxB/MR8RjgtW0CU+FOtwR2GXZ8MRnjVrhrqLJRtcv0YNF8eqckfVGNQlL8KF38HJcDPkthdeqG5gPtzgFzkv1/GChflihwIKBEIdNtGcPIlsA3umsgbEQ/fuPcReA4oCKvA/95vSC/ofeigg1GQm6CZByIMeNqSH8LGo4EGwWIe7765lTz1Jv0M3YEcktuefYdzY0So25d/EKCtUrCQfC8GC7U98p7t3q8hi/cvrEhLglNhTloZgEW4g7tWhI7AZmrxPs4pBSieJYDk9kpWdYnOfR7DG6MKejCu84/zfvSDFI73xpfIP41/JeQQOBGvmjKB/TM5l5reJAdHmrsodVSwz45m8yELwHI4qcutr21ThExWGP+N085xdu3Wz119/UyZy/ry5TrACZY5gtWyVZkcOHVVYg+KJnkG5/sgRw61mTccjmvffjAsWqTIg1JzUeH7Kv0iDocXnzZ0rWLXr42x2b+17bOTIuPM+esw4VXujzdjQY0ZnaKNiPeRjVawS9Cs0FQMD9EOwQOeuWbUyQSsjWA+1ay+wACEl3I4uXeE+M0Eu9U93AAAYlUlEQVR/TkJjFBKsuXMtI2N0TGO5Roe+eDFoDUKSImCSE4teQO+j3UNuR+x6DhoSrqAl2AkClIHGem5W7oKFcJJV5/M0tuQUldfBdz/59BP75edftUGonvGph1OawjjnRsysE8P6jQZGBU7TsV/k+sHNwJizf/8+laWR/wNm88mnnyoIjIPuaQPyLlj+ypSWAVU+IF+G5ydvSmiEuSVeBv5K8JYkggXBHShRNBJuyfBhQ5SAdxrrqFWoWMU1EM/KkmBlZmbYoYMHtdb4euH7JXb50YcfC0YEZJo4HhBrzD0dyZCRqKkPTGE8AjPn+ectM3OsbhaVO2XKJEFi/+qIHUMtRScJ4jIsLj7Pc7NmJmisUaPHGkWbnmuLXjnkLUGeUgntB3NJ5cj4CRO1I9u0bmW//PKzLX5hqYSc4N75AQ+E08TuNIYQEJRt2LCBYCDkF2vfU0sVM6NGjRbpWscO7eXLUFBAPo8We5OefVaxrAuKXKjEO6aOXOSllxazDh3a2+AhXIui3Ptd2CNw1Pnt52bPVrcJNuDkZyfpenv27pNZHThwQDwFFiyBL/blu6SLBg2G0Q8T1FMxrldffUWb7YnHH1fQ1HVjzVYy/Wm1/nWDtQtbHObbx98QLJ0KD9Jt44Sen3mBsgCMPkJGiIVcLTxn8FeEB4csINQEyfs+0icWBA5r5gTBYsHmPD/XRo0aKwkk+08J9c3lyiZcOLr7vF/lPxR1UP3r9Cym+wHvI/VRwWLBNm2m3KqwrVq50urWqyfYDD16oihG2Jwf7t3HCuQvYP0HPG7ff/edjZ8wSTvy5ZdfsqIXX+R2UXCwANqBCcGBJafXtNmD2qEQwEH37fyi0wzzBa89EW/41rdsec369eunti/FLy0udmdOrAglvga482YPNpfQshgIps/C8/tDRwyzBfOoXj5ub7y+Q2gPWrUATYYREW772HwFVE9+vt5USqelTsljxtCkabstXLhIGoeDDezRDPgs2CAQ38U3n5NUr0n4u9/kcR/rD21yzDeIEjY1sbp169ZatarVRMRSuVIFEeeG15bccIeOHaXdpk2dojmNrn1SwcrMHBMTLJwzBCuvqjyZZvPpBfBBb7+z06EnTztNXUHDzjtcWx6PtWTJEhUEKFdYubI99dRTCZemeBX8PDux76N97ccfoDGarPtctWqFcoThSUYYqILhWsSliAEhDCr/KlPGlX8VLCQOMPr6wSEPnRAFo0/0f0JgxmKXFBdfBfV74NJZkCFDh8Qahnfs2MEeCii0/aI+9fTTAY3RcT1b30f76VoIFk0uEwQrkiukSIXWcJgz13l+u5LgmLDnn5+jeka0EkgKNNYzpxAsf3Dyp0K1dzlxQidXfKy9e/fYRRddbMuWLVPTU4eru80mTBifkMMUdwMbMV8+gQLB3uUqWD6qQACOUyHj6NHDoskuJ1JVV7QApQ0sfBqhHRbedR7SesEFRbQD/KCAcud77+ta+D5oLJou5mWg7h282EE5wjzkfJ8JFiQ420RkK28wuOdTbQoxDAP9oUd0EJYQK3AKvmBBmRVtDkFxQW/EsUz4OII5ZwNFzh8zN9Hf9lqda4kpOthcaD5MJ5qDzRYd/t6j6SKaVP2zzn2Bz5qiZDFEInFEsQucxkJAQQc07pecItxafj7x39Ce+IXcF40IwvcftUjMBfPFhBA2Cvut/n5z+lhznrcMaSzs9FGbOXO63VyunBaUxYNFDnohr1aJkfALLLbHYHu1S8UyzTDDggU3gaeDnj17Vq7hhugE//vf/5G5YjLq1q1raWmJrWnpvQfHFfcyefKkhJbCJxMsnoNI+IiRI1VVDaAQSAqnLwa8UGPGON/vogvPt1GjRiXUP3762WfiXcXMNm3WxBo2oCwtOc8Drw8ePNjee3+3yuUxXW3btZUvc+UVV9qY0WOC7+bcalHBIgld+95/BpgzTn7AZxxlthP8VM0VGp118VbDCwxCzLPjv9HlAx5RDim0YsYXBL0SfQ6/riBKhw4bLjDBoEED5J+dVGPxo3PmPC+NBZsdN4pglStbLsbnjtbZu3d/7JjrBEy3ENvJPhQB2jDcSJPvIlh8B01AOgBykLwMeKZgrjl29KjMF+wz4TF16lT1VybF89JLa5Xzij5sst9xPtnLghPjY1EWTzHmtGnTdZ90EHv00UclfMUupctFPKXD9fYf2G/NmrXQAnfs+JB1EPNdcrQp13uofXuxEHtoMgRrvx/83UqVLGVLl7wQm8dTzQnCf1/d+3VowFR64fHZCoH/6FCmcIPj0uc9V7zigtqst094Q9gC+oR5Y/7CWY+oz7x+/SvWqXNngQVAxZ403OCj47MRLGksV5kxc+Y0CRaTwk20bt1W0Fofq4qp6hjQX3Kt9+EX79M7XpdIx09iM955R7BcH+RTDxo3PtG/v/DgRHspNggP2JyB5KDq4Xkvcl7hPAkWzwTtNSdM0J7t2rbRqZA+izwDvKYILQnaCy8oYoMGDUrQWF98+aUNHTZM2h3gYp17/+l+N+Dx9Lvc/5mRmWkffLBP7DgkndN79pRrcVnx4jZk8OBcYUTuonG9hWDRtR6TRI6T4QXJC4zTSK4Rg9NkcVoEr8H4DEgKOolAioev9dRTaO840XBUsEilAb/GV2Z9OfxEN3HMFHrB8hrLdcg6osiqPxUiaGidD/ZAReQehJEsNsQNP9isidps+N2BUL4TUOuQd4s675gT/8BoNPwPrsP1+bfThE4z8nf5J0G5kutz43wd0jjRyXCwZde1AvMARJoP+6bk0DNxXX6HoKMrb8pWxzLec2Ym1XWsOHxYS0yz8YJ0cvUt9oLyr+g2Cfso3AflYDwTGDZgzH4Ok9FIhq/lr8OfxJZmzJylNaC3IjByP8/hze6EjBYubr5YZz0jrVuCMr5Lil6s/t+u84jJPHKw4e/cp+9W66/P98R2nZIiuHoyITxpuAEbjcaKCtYuuqIGCD2/8LGHTk2xrOM0iUyVYFEh4j8r1rid8XBDNKVDtczGTZvE7rJ61WoxNNOX584aNYSgjGooR0hb0AYNGiherXHjxmiRye1F8VnQEzFZlavcodRLo0au4VObdq3t79fdYJ07d1GSmXzbgQMf2bQZ0wR23L5tmz36SL8YgnTZsiVWsUplFeGWuLqErVrpKqFP5cfxGTYDTjM+ChytCxcuEDiQ5C/l9JzGTnatsGBBI9+ieZqKT6B+xPlGAHIbGzdttnbtHAr02WcnGUWnCxcuVnOErVteU1wt7jeTi6wcNI2/zaZPn5YAi6FXZIeOnbQRZ86YLoqlmNMeyEVS5x0fiw9ypHbOu4tjeY21+4M9sQnwNyNFLZrqFLeDs7Ot+YNNEzQWJd80tPYnoFkzZyT4WNBYwx8FNmj16lV2X9169hPlX1WqiF8gPEj8ApsBXUm1Cy13abMmzPvLLyeUjHNf+AEIVvkKFVXu9WAQe2rVJk103FAfIqQwHX8IjdEMfKws+Vj9+j4mHwthBeZc6Y4q0mIlri5pK1ecXBj8PXvXAYaYHTvesBII1oJ5dkfVanb40EFF1gklnOoEGzNhZopxUWKPYKmULEm/Ry+Mmza/Jv+Ovo2EDyAVpqqJNX1t88aEjYg2A/P+w48/WcUK5W3y5Hgci+eB0Q/BgvgEoTtJ+Vfcdsd9LAKkx2zG9Kl2yy3xUyGmEMHyNxw9ltKBAcHCTHhT6IUPwXpHcSzUayFDsMI+Ftl4UgWYG47O48dPVHQYRpPGjRomCBZ5rReWLBHpW50696qwFU2FWkZwogT6I0aMkONfstS1Vr1atYDpmGRseSt2yaUKPCKkwK+hBiBmRBQc3oMVy1aogSepJeh8MkZl2LGjx61IkfOtW1eO+C7hHv7T36x/3W88inI/+vhToVThK83IyNAGvrho0SC4Gqb9SK5/JKRmNmvWc0bYgeakdAsjEp7b2HdgvwqCMedNGjfRCZBelFilvo/0Tpgv/NRnMjLsj98PWsmSV1vzBxO7s4LznztvgTQWHcp8ui28KXL1sZyGOiof65abnWAhyWlpreXIhr3MsDlUYTp9aFLziS+AhYkJVsgUJhOsBH8idnZJPlVgqBAuJqp0mdJiGQ5rB8ID3//wgwT4tltvjZWGsyAc799+621BguFQ9dAdLwQESHFkGWhL8pphPwmWFjbdmWedaeVvvz32fHwerJK7L0fJSIAXR5vvY/aYO8g2zjj9DLvltltt62tbdKJES9OA3TXSOHVND89BagV6R/xAvhuFTIdnjkJj5oRBigwN//VXX2tNyWxAu8l9salvL1/Btm7ZqvU/v8j5qusMCw24MPjruUsqy0kDMRLiWa5g1Vd2mMINLo7lUjr4QZjCsGDt2eu4pbxAxcyg+sjgWWfLx8opWK3s3Z3vx8MNfyKOlSB02dm2du1apUfgsBo0cIB6TvvBvUGEsfm1LdIMK5bHYTM87ceffGxNmz7oGP1atbKe6fFKaJ6bE48PN2zbuiUHo9/Nt9ymKD5+kjeF/rcpTiWvR97xyZEjRdoxb/48CQ9MfvSx3rHdMfpBCUC4gWuVKnWNqsHzOlgxDkNE8a8pWVLXomg4t4GP1bFjJy0+RbNbt25TWojfhiiXhldUBYGSXbV6tdWo7iBLyU3hRoUbWGMY/U6JbmCveFPoNRY+VqLGaqVTofcZfMGnPyEamX+QDZaSQ7DoAoGPxeIlOxXmeVKzswWuA57CAuJjeZ4DruGgLt1t48ZNisusXLlcdXM6Vaak2kcffmgNA+cdc0TZeBjQmJExSu3v8LHefPMNVfqETd1NZW+Wv0Yq5MU1qxI0FvfVrXt3y5//NMt45mlxSZHNQLDotU2blh3btwv5QOfXChUqydzjEiynGio49Z5qLhCsBx9sIeaaa6+5xhYtXnRSwYLblGpwNPzEiRPkO8LAzOn4jde3id6SgwB+JD4qzDY/Bj4W+eLwII5FrhCFRPbEAwiTaqxYHGv2HMsYNVrcUCeOH7PnZrqUDoPJAR8Es54CcurCmqKKDmX0fV4oOBlQNUL5lHs9RXxNxEDCcazcAqSJh4JERkHuBSZAHFcmCnKwRBLZbHv77Xfsm2+/FXogga04JcV++/U3FSYcP3FcJzt3D3F6JnwIzCH3QMzMN4b0k7t23TohZhHWcM9FngvI9FtvvyWzBE/VTz/+5ODEWVzrLp2Kv/v2O7E+O2jyKzqZ0UmDkxgj7Jfp7zIJ7td9uRz/RPNhviBRgcQuXCntrYi/FjTqxOt4TLD01Id+/vkXesY776wu1AkncEw0JnvDKxsUfL3owgvs1lsdTZG/N7IgPCP3BM0RViH8vj4X5W6glS4QkuP4SseOx3KF/ovU0bnyc/+0Lq7kZMofAtzkMPGUBvkbItxA5N0772jD3BCkaEDq89hR9CC+7dabjcQ0rxOQ42E8ky/U1DAp+8FkgSX/4st/CYIDlIXdSfwFGC5sxeH7x5+C+Rg+UzDt+Fx+QbgW5u2rr76SgwufAmw0xM3wi0huk/TG5ypXrpxQAlyLRqFV76hq//n3N8JUEQeD9QUuMfoCnXdeEbvvvn/avHkLBMEBkIhJoaiXuNPNN5cV6G4l8B1LsbvurGlXXXlFQgCV5uzffvuNFS5S2Or8s47Nn7dA5p3qb8rnYLnBj8T/AjGC+0CUvkaNatKYUSFOKtQhaHoOgQ/D1iMhl6SCRaEogx2tcEPZcrFF+zN/iQbqMIU7Ax/Lm0J4OJMNV2JfzcFmqlZX32dKyjEb+EXXX1/GevZ8WIWh5N/CVTpoU2JVmzbjY11gq1au0PGZ5gM4qvgY4YHqx3Qy6cCJ7723dkJMBzw4p0S6xS9btlyV2UBuWBywS02bNtN90Z+R1zCFBQoU1LXeeec9mzd3ngTrrbdfV9ODbVudj0WDzsqVq9nvf/wqACFVOoRBBK1O72plbypnTRo3VmSdTmkIRHhgCjFfJUpdbQvnL7SqVe/UYQGHGghxixatlUPs06e3KrQ50ZIjpEEpcxse0bUKn/qlMiJClGzNkpwK4x9DY8UE6/gxhQSQ/vCFo1HtvAobsJm85grj0OSfdDKDD8EHNeGUgLe8b99+ipw//vhjChP4gWABg8F5hwJx8aIFdvfd9wjjjfkB2xQemKMePXupzQdxrLtrxZmOqZjp2qW7gIVc64XFC1ULCFEKx2w+37JlKzt06KDY+GiNR3wNs0TeEROzcGHQTWL7VnFXbNv+urTPvHlz7K67auqUisYlJwlMhmfv0rWTimPBtRMpB7wYZU3GeX/3nXet5LUlxL0FnAfA401ly1q3Ll2s3UMPSbNymKCzmqiHUmkQnqkN9mdHWGP570ZfiwVKw92/eBE46zMZmfIRUO+ZGRn2978HuSDZPMlv/J6ilTxOwSbktXyFdO8+vW3XLhe1Z+LhzQz7WGHh5e8Qt2L6MDkXX1xUsST8uvPPL6JgIBTdaBnybkUCk8uvI1i898uvvwkCgmlT86MTJ2TOnD8WfwbSI59/8aVOOcWKF1MHDTfcc+CL0HQTaHIJrrV/vzYaAVUqiEBecm0cX0IThBc4JBACoef0DwGcGNwXviEwZzguSlx9lWgA+C4anJq+zz77XM+IOTv9jNPt048/kTAAKmQewpua5ll//PG7FSxUSEltnhGhJKXFfH322ad6iqJFLxFk+osvnE8Fh1c4zheNSUYFLuzvnkwYT6qxEKyMzFFyijkVsYtduXUIDK6rO2fdZ89jsaygEse/5xcav4HreUpCdmFUsJ6dPMU+2L1bE0OyN9wRgjgMreHId1EKBbEs7dwICmIuKlTwYDOXsZ88eart2r1bQkh72ccfe0y9DllcGjqJnfjYUatRvZp8OBLNCCmcXsSiXnppnQQLgKFyj5EZzW2yCQDrWvlS1VAdv8u5326+QLnu23dAgvPII72t4GmUpTmfFEEBAIALQjqrdu2ari+kT5NEiC44vX72+WdW9JKLrffDD0t4oibL32d4/4cFgPvisAxTD0FTMPpApj26gXsDwQF0iHvh9I1/O3ky/bepEu8iM84182QKoXUFbwN3sA8tSO3x/wmXRPU3HZZ4/ANXFuY0h6N3dJOj7wTxL4RmzuznEjQWldDksDjeA4+lZMt/F9gMPhaCRZcFj/pkAkB91r/fm0J3X127urwjQMPly5daterV7RCdKQJGvyZNmylkAF6egld8LE5/VLpwKpwxY7qU2rZtW2PNK5O5A+E54BnXrXvJlevnp/xrRFD+Fe8ViJ+zbfsb0jCkdBzLtJuj99/fZS1btrHDR/DX0q1De9dhNTzCi4cJ5qRXslQJmz9vnhUqSBzLEXXE18R9O7oR4jKK0KfKnHMtijQ2bHg5LlicPne8LvAB1wDNcMWVV8nsg25QiX0yRr+s7KzslOwUxEf9sZ+f/bw9neF8EFfaGddMSAtqOiuoKfQ3rM8GgoZPItSiNJTrG+ybJsq4EMHPOiHuTeC14VNh9x7pEixOki+uWZ3AaQWwDRpKTj1gvakExpfBGaUYs16s5YnTWPhk4Oepk4Mt5s67asrh5gQJNp3uFjBDcxCgYABhwF+jQbdansyYQRvZWJs7v7huYeOCEl10TpDix8pfQPCTWpHOFHA3gHkvWaKknt8HNbkuwVT8UE6JlJy1b/+QM8a5dPYAXk1csOQ1JWwu7VPo1RwYlvCfgWhFELVxV4DP6sT+zjvyI13LE4iM3SBP2u4h1+WiV8+eit917kJdYT7XmaI81iLF8vlq6ZQsS5FgZZll6QlS7JUN623hkqUwLoXcKReHirtYbmK90DgUqeNmiqlE3LHQv11wMm4S0A6P9u1rV1we758TRqCGi2G9AMc1p9OI/t/Rz3qgod+1vO9fk3BH8np+U4QXMPzduDnJPdXiP+/vyf9OsoNOWMNH34/+7snK1U42XzlU3UleCN9zsmdNfCY9mZt7FIpwZ9mWlZLPUgPQJ7KUkqXCtKBzjhiYsyw7NV9iaX0SdRy15eEdHX0v0abHVbOffP9dnNhk+GkntKAgE/v3hAXhVAsYfoTwwkZfT3avXrBPtsi5zUey9UymgaImNVFDJpeKvMxzXgTMz230s8lOgQnzJRGDBhNrl1+qSCzpCFs2kpWSbSd4Cf5xO24p2QUEqv+vHqeaiGQ+jL+H6Hdz+gzx+81tosLXigpiMqGNCn5uQhfWqFGByM2M+e+EFy/Z9fPym7k593ldv7glSL7mUaFPfKYTlsV/KadZPlwfKal8lnIsOys7NfuYpWbnt2xVMbs0zX/HONkiRBfCT+apvuO/FxaSqMk71eL+1bnIy73ldu28fDcvn/kr934yjRpeB/3dlWrJjTI7blkQtVkBS8k6cSI7K9WcfcxGsFyvwv8rwhUKf/03ye5fmef//51cZsBXbXP4w9rJT8fv+t8n//8F+ml9OLE2c80AAAAASUVORK5CYII=",Wt=e(53114),tr="data:image/png;base64,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",T="data:image/png;base64,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",O="data:image/png;base64,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",z="data:image/png;base64,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",q="data:image/png;base64,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",G="data:image/png;base64,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",Z="data:image/png;base64,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",J="data:image/png;base64,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",k="data:image/png;base64,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",Q="data:image/png;base64,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",$="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b0dEy7V/F09vMBST6Y2wwjYNgzbcd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",g=e(4977),B="data:image/png;base64,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",R="data:image/png;base64,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",F="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAVkAAAH0CAYAAACXcF7rAAAgAElEQVR4XuzdB7B1V1k//n1JQiooQiBCiCSEFEoIJIQUSIMQAgYQKYK9gIplVEZnbKOiMzqWUWesoyMKiiBFCCUkIb2RUEIgEKVJJ+WlhZIK738+i9/3/e9c7j137/Pec++59z575sw5Z++113rWdz3Pdz177bWetfCyl71s+5FHHtnlOPPMM3f89uPNb37z3f7X9cKnrxClH2UffX0ofrg7P/zhH/5ht3DWWWdtXwzM3Vi1/hQChUAhUAhMhQAnZGH79u3bp7q7bioECoFCoBCYiECRbClIIVAIFAIzRqA82RkDXNkXAoXA1kagSHZrt3/VvhAoBGaMQL34mjHAlX0hUAhsbQSKZLd2+1ftC4FCYIYItBdfNYVrhghX1oVAIbClESiS3dLNX5UvBAqBWSNQU7hmjXDlXwgUAlsagSLZLd38VflCoBBYCwRqCtdaoFxlFAKFwJZFoEh2yzZ9VbwQKATWAoGaXbAWKFcZhUAhsGURKJLdsk1fFS8ECoFZIzDVFK677rqru+OOO5psCwsL3R577NG+Hbfddlv3rW99q/2+xz3u0a45BPpyLQG/dtttt87H8c1vfrO7/fbbd9TVPe513Hnnne2zUlm77LJLt/vuuy9Z1j3vec9u1113XbEsdVK3xbLPuhEq/0KgENi8CExFsrfcckt30003NVQQ5YMe9KAdJPa5z32u+8Y3vtGu7bXXXt0DH/jAHeT2mc98Zgdh7rvvvt13fdd37SBm13I8+MEP3kGYX/rSl7ovfOEL7RKy3H///XcQ8Gc/+9nu1ltvbdf22Wefbr/99mu/EeWnP/3pRt6OBzzgAd297nWv9lt694W0lSVfh3KU50DYrtVRCBQChcDOIFBTuCagx7vm3YagdwbourcQKAS2JgJFshPa/Stf+Ur31a9+tXnPdRQChUAhMC0Co6dwIR+P4t/zPd8zbZkb4r4i2Q3RTCVkITD3CIwm2W3btjWSNda5mQ9e7Ne//vUdY72bua5Vt0KgEJgdAqOncG0VkjUTwiczHWbXBJVzIVAIbGYERpPs1772tTZN6973vvdmxqXqVggUAoXATiMw1RSunS61MigECoFCYIsgUCQ7oaGNx5pXe7/73W+LqENVsxAoBFYbgammcGWSv1VWm/mo2QWbuXWrboXA2iAwFcl+8YtfbLMLrNrazMd6kix8LUO28syy4v6S5GBukUSWJjvnHi8ljZX3lzq75gVelkPLTwfpf5Y5W3ZshV6WH6cM5fLmlbX4mpV98rFiTp7+G6u3xHrPPffcsaTa/V4eSpfl12ZuyK8vJ3m+/OUvd9/93d/drvmvDfbee+8deZHLefdb5SedRSNZZeh6ylYWuZJnH6u+3spPHmTx7RNckg6m8kubBIvI7B4rGGHYf1EKDzJkqXnyCxbBhswO+avbfe973+9YWh6ck4f6KMsTl7aHW79N+ljLU/r73Oc+39GOm9mG56VuNYVrmZagsIyAws/iYMheIiJGxspIYgSWLl999dXtv3Qf/vCHm/ExqsRoOO200xoxMMwY6Ote97ruMY95THfYYYc1AnQgSPm9733va8uG/ZeHZcTulz8DfPzjH986zo9//OOd5dGI4YYbbmhLlA8//PBGag6LMw4++ODuPe95T5PJfdJdeumlzdgZ9+Me97juEY94REt/3XXXtTyOPvroHR3z+eef393//vdv+YawPv/5z3cXXXRRp17Ktvz5kksuaXV5yEMe0kiMfGS77LLLumOPPba1zac+9anuve99b7uuzR72sId1Rx55ZMuXXG984xu7E0444TuGfZC3OsFGXb7v+76v5W3JuHvVQ7uQ4/nPf34j+3e9611t6uKhhx7a8NUJnH322a2cI444ojvqqKO6G2+8sVMXuBpqQoLaOUvA5fPIRz6ydYbk9h+mH/nIR7r/+7//6/7nf/6nO/7441t91AWBX3PNNd2BBx7YXX/99U0n5Ak7Zai/tnzuc5/bXXvtta1TgbV8HVdeeWX3zne+sy1x1y4HHXTQLNS58pyAQJHsOqmHeA1vectbmjEzWMTC+B772MfuMA4GxKAZf4jkoQ99aCNHhuS6a/G8PvaxjzVPDhGEZBkjsnj729/eSOIXf/EXu09+8pONIBCkpcNIHBEhmn/5l3/pPK0g3gQC6ntPCMAHKVx88cXdKaec0sj73HPPbcRKHsTovAPh/Pd//3eT95hjjmnndAZiQ6hrPMx3vOMdjTyQ1Qc/+MEdMSZ4h8hbvZ7ylKc00iSveiFZHh4iefSjH92pP2J66lOf2vIl4z/+4z923/u937ujk0hdlKN8uF9++eWtHdyPyGH30Y9+tOX5T//0T90f/MEfNKLX8SFlaRC6Du4DH/hAI0Kd5NOe9rTWoWhX7fviF7+4yY343v3udzcZdADa2W+diE4PFq9+9avbvWKBaB9YPuMZz2hkeeGFFzaiPu+887pnPetZTRe0gc5BfWH+0pe+tPvEJz7R6vKoRz2qtaFDXogbuVpA9IM/+IPrpPFbt9jRU7gYHqOOR7V1oZu+5ryav/7rv27ezOmnn94MkSG89a1vbYaJPBgVw4f3FVdc0V1wwQWNcGHPUE899dRm6IyZcS0+eGMHHHBA84AQHe8REf7ET/xEM3qEwvDyWP7MZz6zkSxjRwJIGNE4EBFvCVn9+I//ePNgfRAOj4sHStanP/3pzcskz5Of/OTmPSUdEkqUM4QvoI9y1B1RIiaeH4LlrUmrQ3HwFNX1R37kR7pXvepVjUBgIA914X2TA0nzCnls8uXZ8eKQ6eIYFAiHTOoJax3XOeec07AnA+/xBS94Qffa1762+53f+Z3meWeY4+abb27lGgpA+NrIEwSZkKJ8EODv//7v7/A2//Zv/7b7gR/4ge64445rdVJfHQay1UZkpRdkgjX5XvjCF7ZrDpiq+7Of/eyWtw7A/SeddFJrX3pDPjipiw7GQVZPEzx/ZI6A61hbBEaT7NqKt36lIRaENosXfAzzn//5n7sXvehF7dEbQfGGPGoyOl6PD5LhEf7v//5v96//+q/NkHgqCPTHfuzHWlqeCkJYfOgEeWuIE6G+7W1vax4RkkVODNnwgzoiOYTHsJEsr9NvxswjlNajLM/q4Q9/eDNaXqxzP//zP988ZCSDhBEieXhYqUs8aPc43I8UkTDyYvxnnXVWk1PnQS4kxnt08GSlQ2K8YmSiAyHLa17zmka6yoYFL/4nf/In239DGDxk5/pOAazPPPPMRuY6L5gqF/7SqcP73//+5pn+13/9V/fbv/3bjch0IHA644wzGqHLxyO8DoGXTVdggvyQ3K/92q810lc3ZI3odETkVoaOD0baGWZIli7QPfhoezhIp0OUj3LgpyPpk6zOWn2R8W/+5m824tcJIFn4I2ed+nJj0+tnaZu75JrCNaF9eWkMibGu9uFxz6MiTwV59A8Gxnh5h4YDGJ3xVLIwyLyY+Zmf+ZlGOry4kFc/H4/ZHikPOeSQRkr//u//3h43X/KSlzQCyKMvgpX2h37oh7qTTz65pePtKMtjKJJCPs973vMaGfI2eVu8vb//+7/v/uiP/qiRFILjxSEcpGiMEFEz9l//9V9vXp1yHG9605vaYzFvDKkhVWSFTBALOR3IJ2PGcDjxxBPbvdIitCc84QntOhIh81VXXdXGRT1S8+Y8fuvQMlYcfBDeL//yLzeyQ2KvfOUrmzy8QPU2DJAIbEjWcAE9eMMb3tDOGw7hVZJbJwkX+CiHRyp/bQdrRAdD7apz00F6ZEeiGS7QCXiKgQ8MDb+4T0fqnPoaK37961+/LMn+0i/9UvehD32odd6/8iu/0mQwlEFH5GWYKOFFV1ufK7/lEZiKZLfKcMEsZxdQfgb7Uz/1U83TyUsWhMCYkRjiNITA8/Tdf4OOmHlyjNxwAYJbfLjGE0QA7n/5y1/eCMdLHMTA6D3Wuo6YyMHA/+RP/qR5TQjLwYNj6EjLSzoeIE9Rnn/1V3/V/cVf/EUjAaRtjJfX6xGdoWdVIAL4vd/7veY5IsfFY7I6NGOfCF+9QkpIEEHABAEjdWmRuhdSCMR/3qi0Oi/Ey9Mkt85h8YFM/+Ef/qF1cIgZrv/2b//WOg/k6jqP37CBIQay6CBgieSU97M/+7PdK17xitZBqo/2/NVf/dXWjuSFKzy0L89bZwIjMmovHZ+yecbaSdmeNDIzg+7BwlMCYkTYvFeeLO9aB2cIpO/JGpP1xPM3f/M3rePjUXsaeuITn9jq+1u/9Vt3m7VQxLg2CEw1hWurxC6YJcnyVJATcsssAYbzH//xH23M00sdXg5jR2rGbxkoL4vnxSh5isYdeX0es5FTDh6Vx0bG7DHRGChP2LdHX8TCm1UG78qjJyJg5MjwN37jNxrZODyOG3JAtIzWWKuykCxCRqY8MePGZENsyPZJT3rSDnl+7ud+ro2nGkKQdjHJ0il1RSyIHoEZi1QPnjHCU96f//mfN2JCYK4hGkTuHNJy3rCFR2ovw5YaRjEUoixeYp9kefscCG3yn//5n42o1UU+L3vZy3aQLEI1DIAUdRrK50EqE0ZIFs46gu///u9vbanOCJq8sEPM2oBXzkOFvyEPH/nxwA1LIFRtrA3kjWzdDxMdIe+3/+ILyf7pn/5p99M//dMtvY4SycJb56p9daZ5olgbmtnapRTJTmj/bH0zK4U05sdIGBZvBrl4w+/FiHEzhuqRj3HwhjzuMVaG5uOx2qO2RvTiJm/zVcmQAs+P98nrQmI8Oy9ffvd3f7eRCQLxIozRIRakapyQV8h7jhfKwHlxxk8RAy843hvyQQSI131IG/kpE5mpB8/vF37hF5rXKV+EuZQniyBhwovnpSIweZGVJytvBOJxHKmRAaEifh2KdnK/zogH6P5sXdRvZp624QGerLogV160PHiyZEdOmU4Hex0PcjN0QA4dlycNY6iGWOCvU9Z28uCt8oLJ4klBB4e4kawOyKG+Ojp1kwZpI1T1h6Xxeu2oXeClTJ2GIRzeLV1RP3WmDzxZ3u4f//Eft2EVHZZ8yKcdYGmowlBKBaJfW+IfPYWLkuZFxNqKurlK440gNQbJWBkxg8oChMx55LH82Z/9WRsHjCeLABiLtB4ZeVc8mhzyZsCmAXlkdfiPZHmVPB4eFM9THghKWmTBOL2g4W3zEJE1L9T0K8SWyfbGgr0YQ5oIJ2/1MyeXjMYeEbM83M8jdj+Zpec958UaT54sHquRH9LLGDQCI69HXmOwsPFfnXnxOhNpycEzz9Sn4IGszGf16B9yhh9Cgz1stAMCc14aL4yQFALTwakPknPNk4ROKnN3ea3GhXmQpneRUaeZOcBwRpQ6Gp2PA9bS6WSRt/ReiiH9v/zLv2zXPA3ATCdpaEI5nmx0mNI5jNfrbJzPXFuzUNgpEoaztJ4OlK9NZvEyd3NZ5+rWZjTJbpVltasL89K5JZyi8VGKn1U6zscLc834GsNGSDwlJMroEBailhYJ5HBPCDSP/cguj5vaMO2Ye7KiyDfSkp5HqTyP7kgs8rlHmXnJhSgQFqJQNoJ2HwNXF95oXnC5F0nw2njL6pBhARhkdRL5cx3Jyie7VLiWuamZARIsEBuiW7zyCvnLhxzk9MnsipSPcJVJDr8Rr3rDOuOtaSf1DImSmTzLraiCFQKXd7+dYMHLRaLOk4ks6gfbrLSLnkirU3PN78TX4AnDUznSkks+6ucjPdKVXxYprIV+VxnfRqCmcC2jCSGQ9Z4P3F/iydAXL/mM+H0CXHyPNDFU6fpp+9XPfSmn/3/IPcmrf99S8C4lX2RcnL5f534nNLTeQ2Xql9+v/yS8hua9XH0XlzmJlBZjmv++V4p5vFJ7FBnOFoEi2WXwneWLr9k2aeVeCBQC84LAVFO4tkrQ7iLZeVHTkqMQ2LgITEWyW2UKlzE8Y20Z09y4zVySFwKFwHohUFO4JiDvxYGXG7UMcb3Us8otBDY+AlORrDefyGezbwm+1s3rbby3wonI5dvbYi81/Eb63ngj/byM689CMCugf2gjL+/kudKLkcV1VZY31+5bHCNV2uTten8uKtny9j3xavudVGYa9F/4SJ80qY98+zFb8/IpLyNd8yFHOkIykwUOeaOeJbne/AdbZZvtkGlMiTQW2ZUhz/4LT/k4lxkZ+SaX+1zvR1MzM6PfTu7NSknlJxassvxO4By/F2MbLJSZtJlK19cJ+dIPci+OJ7zWulzl3R2B0VO4CsDVRQAxmAJlfqiOyzQbRmt+rKlOjM4iBGPh5mKaA2kuqPuyqIBEFgtkjq0pVK65x7QhBCNvhLncLIF+rchjMYShEhPsGa8xagYvH8ZunixZTQ3K1CLTzBg+Uss0roRdJIe5pdIn4HamrpkLal6scsgsf7Iqy9SkRPsyDSqxd03i1zE5Z7FEplwlFKSyYJC4sqYukddUM/OKTZlCRupF3gSqgblPtrwnCznIpaxMo4MXWVI24pMHLCwrJoepZKbYZUlypt+5Jk8ru3ybokdOGCkXRglGrr0S99f8YdPqYGIqF1wsnDCHmlyW81oAYXHJ4iDrq6u1ldsYBIpkl0GLQSTi/RhAx6RFpozchHrLUpEUYkCkJo4jDgbnnLFwBmV1FeNloIyPESMkBBsiFcuAASIU9yEXeZo8b5I9A00Q7qXkNT9UrAOrhUTyEvNAWfEadQCMXZniBSAfy0cZOFkzWV5HgNwQGgJCPspPdK14rlZBWShgDDxzeJGWiftZNqp8K5qUDTNLhpWvrvLXMVhkYVWVuqmD/IVrzOo1eVtKK/gODMgEH54n4rMgQ2eng0jgHmXo1NRLx0Iv3EM3kKyFG7xnJCx/1yzisMxWJ2VZLnLUQSXgT4J7W4ChHN+w0n4WIMgHhml7Cy/kIayh9qYX0jsvf0uA4WIRgzpYmFDDXGMscbZpawrXMviuxewCpIUMGRQvNRPfGXWiL1kIwMAZnI8AKEgBGTAsBsoTlIYhI1T5ITekxeMzxGPCOnLmaYWUl1MtBCUYibX3DBk5k4O8ymboSBZxIzFeI/KxBh8Z5H/yT6hBhIAILQntP5a7jsh544hIXoiLF60DUh8r4pA54vIfKepoEA6Slc5/MkmjHDgiPfjkEVodyAxr98IGqUljVZolu5m4T3446hScR6xI1/1kzC4HyiC7vJEt+cQMkL84CYlfAFPlIEttY0ksvNQ5QyDpwMgEY3nqSHQOVnZZdUYessgD1pbRandLc5Eroi6SnS1xjsl9NMlGKWe1LcsY4WeZdi1IljfCO0KwibiPDHi0PDIEihgZfVZwIQLEx+ilQzy+3c8TYuyuITGEg3w8cjJQxMJ4eYmTllYiWctQBfLmqTJw+fIM5YvQyYwQlOscQrEiiyyWvcIvY6+CndAXy2stA7XsVX14tTxlJIkgEZe6qjePjPwIGLEgJ8tcEzxb/FfyIGceL2LT8fASdSIw0CG4V/2d01GoB5J0LUMCruuMeM06IfXLGCuyJovz5FIPmEujrXjviBX59tuChyuNjgUuME2gb52ResBJucpQP6SqLog1u17Alo5oA2SaoQ7DK7BGtMoir2XFdCrxCmZpH5X3MARqCtcEnBgOw4ohDoN0XCqEx0isOUdaDBX5MXbenshTPBZHQh2SJ7EJGBYDQ3DIhOeWsT6yGy5g2O5l2LmGaFyb5MlaT++RNy+33JNhC4TAC2PkCCLEKnA08hBdiuccuZXr8d6QQAKEe2RHKoYKdAAe95GRugico/6w4LEKyoIgPcYjGeRuOAUOAsQgVgRtOCFb3GQPMsSnI+ApkgG2iVOgA+OFKoe3yRtE/HmxpS7IW0eA+AwD6KgyV1x7IeCMJbtXHdQr2wiRSb4wUBYPUxpYkh1pI1GyKBfJavOMUZNbBwRzQYDkRxZPEzx2dVF/47SC0NAB7VCe7DhbnFXqItlZITtFvgwH4fIAs70K42NseauOYF1jmEgU0eSxl4fImBEQYmGoyI9h8w4Z79CIYu43JosoEK0OAFEjXIaNqJBkPFXeHAJShqEFj8UM3YF4lI/8kAVyEBjGI7Br2Y8KYYWgjN3apysvyHjAvNZsT4N4lemc3QDIg8R4smRGTDxc3mxeojnHayRf9jBD2nBE0O7XEZED2SFS13141EhR1DIkZpggXqny1A9m2k4b8HB1Jnn5lFCROlNtQF6dorLyIi2dYp4KePeeWHSkxpSVwZPl/ZKfXM7LI+PGf/d3f9eGWERGK5KdwghncMtUU7goA0KocGmr2yIMm6FmAUT2rGKoyCQvVxgYQtAOCRrD4BAY75HhSSOvbK0tLwQ29I2zvOOBIYSlDBahOK8TIJ97eIoIhrcZQkcayk/Iv7wg4l061AuZhlDVg5z9XVXVL96isVnkw3OTr/PZqRbx8QgRk04GMaacBEwhB1LNVt30ODv+RqddM9YZ7zpBXbQN3c8+XDoJdVaW8+rCK4YNmft1gAP51C1PEQnak5kSOsTM0MgUsMgKN2QP50wdU5ZyXEP8hkF0AgnovroaWrlNg8BUJDtNQXVPIVAIFAJbFYGawrVMy/MOeBqL9+DaqopS9S4ECoHpEBhNsh67ErNyuiI3xl1rMbtgYyBRUhYChcDOIDB6CtdW2RmhSHZn1KruLQQKgSAwmmS3ShQuL1S8dFgcyb5UpxAoBAqBoQjUFK6hSFW6QqAQKASmQGAqku3vI9QvM5Gess3JDle5t93JmGuL92ja2fz624gslmNIWVPgW7cUAoXAFkdgp6ZwWdVizp7D/EJz/RzmA1oSmPBtzmf+obf1Vqg4EJv5fAnRZxjCvESHydUmcOfIenb/zTHMG3+E71pW6Jgon43iyEZGh/mEysp8z+zU6pp5na7lMEk+q6zMRzVvsY5CoBAoBKZBYKdINrMMFJx13n7zEvs7oWbHzKWu9XdoTWzQxfn53y9raH6L5djZsqYBuO4pBAqBQmD0FK6CrBAoBAqBQmA4AkWyw7Fqsw0SoNqQg5kHy60RNzRiaavlooYcllrSynuXJy/bEEniq1q+6ekgwVn8dl2elokagpkUD9Zwh6ESsllmOXQduzoZjskQTuqbZb2J7p9AKsoxRGOJ63KHPCJLhmUMJTlv6a3fGZ5Rx5StrOxGYEhnUtSwlZowUbLkmeEky3eHyL9U3mQ3+yRxahNbQnupA7kTrW4pHTE9UH3UnwzZ8UK+CdI9qX37MnnKs7yXXlgyPKkt+vfRY1j3MYGTOsiDXNod9uQyLEem2vNuJW37zuujp3CNL2Lz3CEik6AtIkSJKCUgynLRrIztCpQiJJ8ITxRWcBQKK8CJIwGuGZs194yT8QtP6D/jtTbdb8Rq3FqQEsFTrJlf7kCWr3/961u54pqK5sUIGYlzgqeY72xsWzzTEJg6iYiVMJYibYVoyewehigqlWAngogLhyguwnKHOpNFpCgRwxzqKUoWg5ZPIowxYPIiGrsFkM96fDKSyXn4wA1hw0ecBB2YGKsIlMwO6/yRIELTZtKLs2AXAelEwBoif79eeQcgv8RJgB08yCZAjahczsFYGmEe1UGd1UG7kRGRIUVt6qMuCRvpfjFhhxywEwISaQrmgxwTiEZbI2D6QMfI5oCh+8hD17KTgrCM9FRbZxscbavTf+Mb39g6kOc///lDxKo0PQSKZAeoA4XjlVLmBIFmOAxGEG0BShbHaHVd9CgRkZAHZb/66qtbWsqORBLgmWfI40GmCESEJgSTwMzIUbQqSi4M4PHHH9+Md7lDZ/CGN7yhEZZ8GTti4Y3EU/UtchdjZnAJ5SeqFM9KcBNEyAt1HTm5n0wiPSGJV7ziFd1zn/vcHTsdLCWP+1/1qld1L3zhC3d4QcgkL0cRVvYT05EoPy8mkRdil1Z9eW2ifXkh6RrSTGCW7EoAa22hvXQY6oAoePQJeyiCF0yGyN+vE1zUx8tbMvHy5JswiXRDvmTWBshf5CykB2/EK5KaDhjpiUbmZa+2gYNDZyF85LOe9awWcUt6ZSx3wO4tb3lLI0x6ob7CQiLG4CBPmCtTOsF/ECldpIc6OxjpsHwjWrFp4QxX4SjJgpxf9KIXDbCYShIEpprCtRXhS5QpxsIYkIyI90LjUVoRmxhDP5A5kuWx8GR5Oe5FkgxR2D/fFF8YQfciMWTKaJAfA83uBjweeTNUsVUR4Eoke95553WnnXbaDo+Y3Igh26XwMAWhFuAZcSAMhsSrQRTZV0od1N9sD4SmrkIs6hBe85rXtBin/Zkgi/VD3rzv5zznOTtmmcSTVSfExXj9RiauuSd7kxnqQEQIAykhqkT8EsoQDjomZKFOOj3EoG7w1CkglwxNZPsbBPLa1752RflTHxjoFMkKR2XxlpWhI3PNOW2lTmSAIcJDWOpBTl55hpHE6A3hulceOlNk5wmB7Oo9KXoaLOgickT29vlSN8RJLh4yfUG6Om9lks1QAfnI5GkJ/sqnJ9LTXxHY/NdZa4PLL7+8SHYkARbJDgSMUjIGhoscGRIlTFzTpcap+iSLALL7LC/NPl3+83bkacyW8TFYxMFbQ3SMmLEgH0bkOoMdQ7K8ZHkwYnVgOImpirDUAakhV8SsA9EpIFflkQVBJYwir5YXyZBf/epXr0hS8mb4z3ve8+42jswblJchimybQ1aknUdvBOExH36GZpACXA0BqIfHc6SE1KTRASAE98FVnZThMTjBtZG4ewyDDJE/KuI+ba8jMvyiEyCPjk+nidA8qTivznRCPZCse7QfeXWo6ZT9Jnc2piSrTpDsSJZH7IlhUhzgPsnqqG1BYzgJOdI1ZfBk6ZP2ho+OhkwwzNg3neJBcwbohM5fG+tcOAryKpIdSBi9ZDs1hWt8cRv3jmx4yLgYDsKhxIwjW5YwLuSVAxkgF/tkuR8RIDoEwQgoPa+IQvNoGR4jcV7QagZsOMJ97k80fY3mEXQlT5aXxqsz7KCcRPTPjrb+MzZ1YWi8IDsaIAGwotAAACAASURBVFll58UQr9rjtbrlkTO7M7zyla9sY3TZGHG54QLpXvCCF9zN42WwZPN4K29euzFPhKVTg1/mNvuN2LO/FgxhhagTgFt9nM+LM6SIZNUjuxtkLra8eJND5O/XiXzahzzZSFE5hlx0mggO2cJVx4ns0xkgY/XyXwfGcwzJwkE9EL92tuUPkjVeKj9kN2m4gE7IH4EiR08ZGYMnr85LG/NiDckgUrJoNzqZrYqksaGn87DS+ZHR/Tp3aWu4YByPFckOxIshMdR4sZTeIxZiRK6Jvp8317L1SAlgpMVzkiZb2iBNngEPlTHmhQpPhvJLK3+G4pzHxWyuyLNE0jzf5Q5GbkyWd2Kczn8GI1+ExkMig/8MknHHq0bgDDYykROBqHvGThEcUojHNemNM4zIgsQNTTjk7ZE4TwQ6EwasrkiIx82wYaEzc86QBDk89rof7shB/s6rF5zImd0EEKF8EZr6kR8miAyOyA6ZTfPGHC7kpBvGLMkED54nrMmgTOXpKHUQmU3Ai9RxwZmeeGLRBnnxSc68JFxJRbNZo3ob/1eu+2FCT+GVTTYRJjzoFryCueGfdKLahW71X3wham0ojWGfOsYhUFO4BuCFkDLNiJfnyHQr3wxo8UGxKSejQ779pbsMCoHEIN2bbUcyhQfhxFtyXVokwoAoe+RYSvx4XEgUGfXLXio9WZQX8spuDOrgyPboWWSCALOhYn/K10qyZCYGA5a3cnyrG7JwXr38dk65PunIYDPmyI4FytHBOcjuP6/X9ZXkX668yIbM5BlSgrVz/sM0u+RmMYy6Oe8e51L/6FQ6sqFbBWXbIvmoy0rT9ZQffSBHOiTnMrUO9vJNR+y8TtVTQgVMGqOB305bJDses7qjECgECoHBCNQUrsFQVcJCoBAoBMYjUCQ7HrO6oxAoBAqBQQjUFK5BMFWiQqAQKASmQ6BIdjrc6q5CoBAoBAYhUFO4BsFUiQqBQqAQmA6BmZPsdlOA7ri96/bcq1vYZZfppKy7CoFCoBDYwAjMdArX9s9/tus++5muO+zh3cI+99rAMJXohUAhUAhMh0CR7HS41V2FQCFQCAxCYKZTuMqTHdQGlagQKAQ2MQKzJdk77+y6O+/out33qDHZTaxEVbVCoBBYGoGawlWaUQgUAoXADBEokp0huJV1IVAIFAKzn8L1ta923Vdv6br77tst3POehXghUAgUAlsKgdmTbE3h2lIKVZUtBAqB70SgpnCVVhQChUAhMEMEZkuyN9/YdTfe0HUHHdwt7LX3DKtRWRcChUAhMJ8IzHYK1/btthDouoWFFoG9jkKgECgEthoCMyXZsWDa4iK7q2ZbDttx2N4lW5VIYzsSW2S4ZksM22jYSM8+R7bgyHYxtvdw2DbF9hq29Ji0vfJYeSt9IVAIFAKTEJibKVw29rOpnX3hba6HMJGoTQCdR4w2gZPO7ql2G7Wjpg3p7HeFQLN/vGu2WbYbKQK2aZx9iRCtDe/sDFpHIVAIFAJrgcDMSXb7F7Z13babuu6Ah3QLe+61ZJ1sZme/d9tt2wrbrqS2era98WMf+9i2gRsSteOq3T8/8YlPtC2YbW2MdHmx5557btuZ08aFdux0T3Yuve666xoh2/jO9ty8WdtE2wGV11xHIVAIFAKzQmAupnDxQG2L7HPBBRd0BxxwQCNFnisv9eyzz26kilxt/2znV1tiI2L709vO+UMf+lBnK2vf7kei9pbnDdsS+TGPeUwj4BNOOKHlm91CV9rZc1bAV76FQCGwNRCYC5JFeIYJeKN+Z/vnQw45pHvmM5/Zvf71r28kaY94RMvTtU+8cdrLL7+8fV922WXdTTfd1IYCELDfziNlZHvQQQe1LaFPO+20RrLGclPO1mjqqmUhUAisFwKzncL1pS923Re/0HUP2r9b2GPPJet45513NgL8wAc+0H32s59t+8bzbpEhD/Z1r3tdI0SP/8Zajdl6ueVx/6qrrmrEbOjAGCwytV+834Yh5OO+RzziEe1e47XI95Of/GR32GGHtXzrKAQKgUJglgjMlGSnEfzqq69u46+GDJAjIjX969Zbb21js0jzK1/5SnuJ9eEPf7gNDey///5taMG4LpI9/PDDW9G8X0SKWK+//vo2pJAXX/KqoxAoBAqBWSMwV1O4VJY3e9dddzXvNNOzfDuHLHmuvF8vrXirfiNe07UMExizNZsAid5yyy3tGoI2RLDffvu1POsoBAqBQmCtEJgpyW6/6y6TVLtut926hfIc16pNq5xCoBCYEwRmP4XLktrPf67rHnZIt7D3PnNS7RKjECgECoG1QWD2JFtRuNamJauUQqAQmEsE5mIK11wiU0IVAoVAIbAKCMyeZG+7tetuvbXr7nXvbmHXXVdB5MqiECgECoGNhcBcTOES0MUsATMEEtRlJRhNz7KUtj9bwNQvy2bNuzWrwNQvU7scVn5ltsL97ne/dk65ZisILGOql9kIYhy418ox/zN9zDkzHMxcyFxesxbIYYGEmQ5WmLlf+fe9733bDIePfexj7Zwpae6raGQrtWxdLwQ2FwJzQbLI6l3velf30Ic+tC2TXe5AVkjRt1ViBx988I6FCqZ3iW1g+SziQ5LiFTz84Q9v9wg0Y4GDObZWkyFzpItgXUeMSNp5/8VAEBvBdUt+Ean/Rx11VCPLD37wg60cJHrggQe26WVWpiHWj370oy09YrZUGIEfffTRrQMIGQ/tTDaXulVtCoGth8Bsp3DdflvX3XZb1+29z8ThAstf3/72t7egMFZtLXcgP6SG3Cw8sLDAQgSeKQ/TOfNspXMOiVqCy3u04otn6pp7eM7IFiH6FlTmkksuaemRvuA0iNR9iJnXjFylNYcX+ZqXKyqYzkHksEMPPbR5uwjbajPXLZhwXb48Z7Kr4x577LH1tK1qXAhsQQRmS7IjZhdceumljfx4hZMOiwoQFzK1tNYKL98IlHcrVoFHdd4uUrQyDCkiP9G+fCND0bmUJf0DH/jA7t3vfnfL99hjj21eKZK11Fc4RQsfeKW8UB4pz9RKMx6uc/IxVMB71WHwqK06Q8QI+pGPfGTrBOooBAqBrYXAXE3h6pMs4gxJ9puEh8lz5HUiL0MCxloNMSA+Xq5rCJI3KVIXgnOdB2uJLkJForxMww3uMV4qLc9VvASxD5AkgkXm8kDYonyJeeCxH6kLasOD9ehPluOOO679NjTB81Wm4QukbmzY8EV5slvLyKq2WxuB2ZPsDZ/vOt7sIYetuBjhiiuuaGSIrATaRn6PfvSj7/ZiixeL9JAwQpQWefEieZvGVHmYziNbXivvmBfJi/XNq/Uoz5PlARsu8PiOwHnCxxxzTCsDUfNIySEPpOowBIE0DUEgTLIgdN9I2/dFF13UiFgHgNANa+gEeNgZL7b8t45CoBDY3AjMfgrXnXd2naW1u+++4rJaXp9Hch6j8VKE6Xd/J4N4uJoFOSJlBOtlkw9PUYzZzFZAdAiRN+k6gkWmiNM19yNUY6ZIFCkq228kaygAGedlG3l4vXk5x9s2JCA/crpGRnkmIDjPFsHzgI3DKj+7OWxu9araFQKFwMxJdlqIkaSPY7loWdm3qz8lyj28V4ffriG5/Pbf79wrb6Qoje/cJw3CT9rI4rq0kcn5EP/i8325yJS9xdxTEcCm1Yy6rxDYeAjMxRSujQdbSVwIFAKFwDAEZkqy27/y5a7zecB+3cLuNWVpWJNUqkKgENhMCMzNFK7NBGrVpRAoBAqBIFAkW7pQCBQChcCMEJj9FK5tN3fdzTd13UMOXHZL8BnVrbItBAqBQmDdEZg5ya52DTM1K3t9mSVgupW5qKZkmR5lmpW3+Xm77/+kt/nSmjeb+80CyMwCU7gSMCazFswiUJ6yTMny3zVzeE0ny8owv00pc33x1uOmhJlvmxkHcJKHmQrOkZdMypZP8nY9dSSDg4wO97nH+cVxEbI/mnzJkvL9d797/DZ9TR6O1Mtv1xNwR51gm/Jdd18O92sn9UvwnsjdnxssjbxgmDKTJyxcs9DDQf7ImHKCSb9tncty5WARLP0nt/9wdaT9lgraQwbY9GeWBOfolHr12zh5O9c/YKks5bpHecFJXql3AhbRxciUe4I/uXyCbeqlDL+Vk7aUX9o7Ux3JBaeUCdtMN3SNfOqd2B6pR99OnFNH5Zn/7Xd0y2+yRX+CYQIsudf15YIlBdPM9kn58idz2pAO+51pn0kHLzL0da2vf+RxX8pXL/dk5lEwmxRbJO0EU3lna6yl9GhupnAhShP/VXbSun7XrcZyWLkFzIsvvrgtKnCfubUA8G3iPyWwMGE5wORnpZc5t/KzJJaSWq1l4YKFDUCkSIC0SMIS2n333bdtzOgeS2uBK11iF1iea16shQeukUWjSmulmnwYEmXTUO77+Mc/3hY1yNPiB/ea32szSSvI1JGCkMm95vyqF9nN7yWv+5VL8eAZAjZvV73cByeyO5CYdOSz/5l8si8awyNn5gb7T9GterPQQ7Ad97guZkQMPAqXOc7mEbumTaR3XR1dNweZvOrJaORJJnJkK3fGAje4u8c1WJubrB3IFcKxQk8dGSP8xK+ApdV98ne//MhirjLd8H8p4yCTMsiOiJQprTLh4DecYUkGH/WDjTaCt3ucd7+52La0h686Bid5RUZlwYvc9Ni3Muglec3FRpDaRVkOuiZ/OzirIzzhATPntTdc1BU2WZEICzKyJ/O+Ya+zVD6ZspiGnPL0rV7qow3oMRnsHq396R67YU90EU7sCx7wZUPSyAcWy80Vp7PmlasnPPyHtQ8ZnYODOjkHY/mpqzYjF4wzl50c8qC35HXNPWSEibrC08c53+KTTNoLUDlsUp3UTR3ZkPyc63f8c0GywAGqRtcIgNRwSxEjxQtJBUyrtE444YRGQoK5MC5GJI4AAKwaW27rbyTNSABK2eSvUfwH+Dvf+c6mFBYZ2EY8SpxVaRRKZC5lkx8hanxyUACK6h55iN6FONTLPYhA41Na8icQDcWXL2JgZPLU8NJSbr/JaLGE+l144YXNaP32EVtB2RQh3rcYDOoQTyALL2CoPAaqLHUMIfuPwOX5lKc8pZXpt2hpcKOIDIXC2mGYfJTLOXLC3G/tC9dsz04ueMEAiZGJgvrPyGHhvLIZBQzJpU6nn3566xT810bK8K3+WXWHJPx2zocuMQg64b/8EJB6P/WpT234L0Wy6gMf9dORW1pNTp0iXGGKRLRTnla0MWy1JcKRTh1gKkIbXWOQylYu3fBbh+m8fJSLWNPhwkcHLB9YSksH6Lf7yQYbOMDZikVyaRNYaCe6Lc8sztE+zmkfdVR/y8gRGx0NqWkz14844oimT65baSmynfvt/qws5EtudWAHdAfWsNCO6qVj1SE4TjnllEaCS+EuP2XRhfe85z0NR/YGBx+EDgflq48y1ZnM6otM6XqeHpSLE9zrHm2SzksHREb8w+ak1d4wk8dyR5wUOqUN2A/85QfTxfWa7RSuAWOyGpKBAYlno1fXAEuRLEDELtCTASORrsQMoDgA1uB5HKFYlHs5b1aDKhvAlJqSKhcJyMPqMY3I0+SFaHjgk5XhMjr3Atk1ckgHaIbGEDQoxUX2IZYQYh7tNQ7yUgfp8/hGcZEbxeLJITEEI39GgYycY6jkTJwFxAJLB6VnlKKA+dbrSytPJKVM9bAk2P3OqzuFI7dDdDTG5sPg5akM6Ri/NqFsDucpnzYiIxKCEQV3Tn2UBVu4MULtQwZGSE7YwReh0QdGp12QrDbXsTIw153XMdMH9WMwDNM96gA3ZagLw1dn9aQbT37yk+/2WNk3qgxN6TQZ1amnntryVyf3wkEnDAt6RA6kkzZeTLLaX16uu59sZISBa8GJbLBwP71DHNrcb2RBz9TD/XCPx4V4dB7ygjE9TCfrPznd/6hHParlxzumB2wt0ey0r3aBKxmUQ17toz3YiLrCUBvpVLSltqc36ezoL6KKxwdLdhOSfcITnrDDE19MZFngQ0bxTHS6yJ1NanPyiJanviFWacioY4GnD9zIpi50PPiSkV25Jp22zRNLHv/JCkf/lzrUS/50QDvBLStB48j075styQ6IwsU4NBKBE/8VeEutjNLAAHGN0SbkIHLTEHq+PGYCkpK5RmFCbP1ehsECGWAZR6O0eTQRUEbjIEFKKk1i3lJwDYbUGR7l940s85iT+yi0Ry5GwOCVx0goKwPwQUwaKzFvM2bJuJCKusonHk4ChTMUJOY+CoiANTy5yEeWPAq5ByHDWtqMQ1EMxuZcyJns6qt9kCxM4A9jefJmGJN7YU7x0vEhfp0F7+/KK69ssilTneWjLnDKEmaGnyEFyi0vBgMfJKku8Dj55JObzJdddll70mAE0jIw7Q1fdVW+9GRTD4Sgnf2XloFq55NOOqnlkVV/fcNQd4RNRu3iCQEByoNBIaMcCTivvmRQVwbc92RFd0Ny6hJdIqd0Ohb5JbpbPEE40QuE6YkGOdO7dIp0M51r0sJFu9AJ5EIm8isnnURiIbMhnST9k78603lklngbdCJDcdLTPwQKU3VSB+RJpx3BXR3gQl5tw24ynnz88cffbbl8H/cMSyiLPOT3TQ66wX7yhEFOeMqPA/bWt761Q+DSwkVbx5OP7eR9DjtI9D46ym7gr410HuqccfDFnqn2JR/dy3sV+pQwqIsdxHWfwpVgLUAhpAZ3qADjXPzSCskGRF4TZQK++/NIw3v1m8JLE29I3v2XTRm/FZyGkjo0BqMHOkPPOCfDpCx5NNDT+u+68imUchizNOShhBqDkVCWDCO4FnLVYBSQMlJUSq/x5U/hKDsSQ4LuEZKRkSoTiVI6GKonZXeeAqk7I6OIFEfevDEkx6D7L/uUg0RgqSzEg9wYpc4LnoyXssGEYsMr0cWUSw7egWuIiBzkNJyBlBBCxgthi6zhRDYk7hupUXBt4HHc/R5VyYEIE9pSecpWDmwZNOI5//zzW90pvHZJyEptkicMcsOF4SpLvnQFtrDKQccYszaFFyKUFh5wUF+6SU5t77fhB+XmpUzGn+P1qaP06mHYwz0JgsQrJoO6MnBtAKfETlY/xot03Ud2uhzvkN6QSVvRS78z/ok86Bkdpofagj5oa3rDDhCSc8rIuLjzsNGhsjv10jZkhk3GVuXtPHKnV/D1CO9enXaeDjPslQ5aun5sEtiTUX50Rpk6ZjhkiI1dBHdlKUNnSf7zzjuvO+OMM5oM7I4dS6scephxbNjTHzZFN1yHufbP8EbI3bn+i0gyam+6lhCoGcLTUS3pyZ511lnbzzzzzGXHH3bmwpAVX0ANUTAQoFJiAKv44jisQAZSSCKV5kUyAgaRLWgQCsPXSB5ngBygUy/KQcE1iIPiaQD3Ir6ArNxsW5PxMYpGYTPGyIPMm3J1YAiMhOeAcDUmIokHozzERknyAkN5FB8paLAYXsY8KRvMMnyggeOFyCNhGZFsXh4wDgZDKciqXn7DlkzZ8cH97iEDRXLNfe6h9IwaSWQ4wTUfJIIEYJEZHxTYb9fJy9PgScufYcHdNUTAIBm4toMZIoE/7NybHSXgor5wlgdCT/2l4cnkZZaOTFsgR08CypGGHJlVoZ3VU5to/+XG4cgVA9JmdCkvgLRfnrqUTSd0JuqpTHogDUKiQ3AiW/BN556390gDsesEsr0SXOmCdkrnp3xp8nIUuSMn9ZCXOqm/OurM6DWsXIcpuTL0o53y8jPDGeSDrzIy1OU3vYq3rM3kxx7pGLuQxn3eGWhjsoektKd2zVMcgjvttNOWpRjX5RkOUJ765ukJecObjWs7RMpRI4N2hq16OexQoh6xcbroPnWn0+7JEAR51Qs+cJK2P0MIvuecc05r07zPcY/OY3Ew/rmdwpVHZQBkGk9aoj8lhLEABhloDOk1ZKboIAUgAyJviSnc4sdC98TFB2DGsDLkkB0V8oaZTPGY8iiWPcQy1UTabG9DRvJlDLkfLEbj5VGO8mgsMsjP+UwvkU5ZjIuyUTxlSJ9pYwzb9b5CJAJZhmUoOBKLoTnvfnXO1C7lyCtDKAgtnpRr6phxY2ncx3gYcbwOeapPxk1dk065yCNjqsEJ8agzw8g4I+LgkaRDda0/tUs9lBNviLEjB4aR6W86xrSNMsggP3Vwn7K0LzyXCz8JQ/WNjvivXvQjwxN0Sp3obsZj/U6ITDoDU14lOXzLJ/flPUKwzwsVMqpPnqTkDYNMPcosh7RDXvLCIdMByYHw/Pd06IA7QkWCztPPjFcqT13TCWZWh7IyXUv93U9vtFNfz9yvHPi4FwbSqINDHTJ+Sx+XO9wXO5NG2Rn/ZgPqoKy8qM4QWH9KIRvKbJM89rtOn6PDZKcjuU6HfeIwxGONnMrFGelEfcNdWYuHCuaWZHfGe657C4FCYP4RyDzYxcOB8y/5OAlnPoVr+4h4suNEr9SFQCFQCMw/ArMn2RE7I8w/XCVhIVAIFALjEVj3KVzjRa47CoFCoBDYOAgUyW6ctipJC4FCYAMiMNt5srff5pVg1+29T7ew665LwuMNpsN3JscnYRYQZKpQ/vczyrX+APpSefbvzfV+eXmz2L+WcnLO/8UTk/vX+r83+4D+BtT1ErkQWBcEZkqyQ2qUIBKmUJiukfmCpoiY6pG14pk4nag7mSphaojpFOa85TBFIxOfTaswLSZTuaSRXr6mdmTKjykYCZCRIA/egCJLU0RMdTEtJVNn5ON8VgRlqorrCaoypP6VphAoBDYvAnMxhcvcN5PjkSxyQlzmPyJNk7vNUTPf7o1vfGObcOy/ycGZ04gw3W+1TQ7z67JiyPzHELQ5eUjdhOrMYcyEbWWZ/IwkM3k/c2BN6LagwIIH57KWnjzkNcmch2sepLmAiP9pT3takztzPCeFTtu8KlY1KwS2NgIzJ9ntt91qnVzX3eveyw4XIFkrcqxwyuomHqTfWYaJvEQbsiw0k9x5m4jLBPTLL7+8rVl2IFUkinhNKM5EbKtoEKlrJo1nnbk8XEOGynj84x+/Y5WKyc1WGSHQs88+u63oQP5IHLlm4QDi5nVn0YI17oJW6CzkoVNYLtjE1lbBqn0hsLkRmP0UrgEBYnh+SJan6NHekAEiRWYJdMwzFF/A8ktkZbWIlTA8XyR70UUXtWV8Dss5Lcm1Ukh+VrrwTj3q80QtoZUvMkaGhgOsdpEvjzQh6RAjz9Z/hPqWt7ylLdlDuJYs8qRdy5JReVuGJ+8En9jc6lO1KwQKgZUQmAuSTSQs3ihvULwCQwAe7XmOvEXe7ute97odoQOzZlgFkay15U9/+tNbfRPUQn7Ik4csL96wOJYJ6IFErSlHsogZabpmbbggLMZweabWrBseQMDW8PuNuI3nki8BkpG4MgwhkCHLT6VN8ImVGqSuFwKFwOZDYLZTuG68oes+/7mue9gh3cLe395KZPHBE/Rojwx5hl5YZc0+krT2HMkK/iFak/SGAYzN8lCRmFiXYoM6eMHIDskadvDIjgB5oO7nbSJB46whWcMFvGLh9xLpSV6uJ+ycWLWGG5SXUIXylzdPnGdsCAOhJygyElYvxLs4BsPmU6WqUSFQCCyFwGxJ9q67us5+Srvt1i3c4x5LtoCXTAn7ZvwysUN5iCLh8DgTl9KQQKZ6JY5qXi5lzBMxI2mRoRBkQtklaAchkHZimfqPIBO3FEkmCLZoS4Yt5IMsjc+aZWBcF0lnH6TEcc2WHwg73jF5eeM1pasMsBDYmgis+xSu/hxYhLh4rmkCMIdcM091cdo0X39ubX/u6+I5uBla8L3UPc4nyk/uzXdC26XM/hzfyN8n1cVza7emqlWtC4GticC6k+zWhL1qXQgUAlsBgdlP4fryl7ruS1/suu99ULewxx5bAdOqYyFQCBQCOxCYPckOmMJV7VEIFAKFwGZFYC6mcG1WcKtehUAhUAjMnmS/sK3rtt3UdQc8pFvY8//fpK6gLwQKgUJgqyAw0ylcswTRogBzT73FN1/WdCoLG0z98tvULosJzF01pSob8lkCawpXVpZFRufc198fS37SO2eqmbm5mSkg/+w3Jg/5WaCQbbHllWAyi8siizz7O+dGDvdnWpr8sjGbKWfm/5qeRq7c67wZDeSUdnGMhATeSb3IlK2+nXOvPLKXknqmHtl8sN+Oub9fp+wF5r7cH/nI7DyZM4tDGy03pU394aOc/iG9aXrZf8oqQL8T7yJp4ZC9tBbrH1zVNVulkzH7WJGxfwRX59yX7VLInrT0qz9zJPttzVLvK++Nh8BckCzCtMSVYVm6Ommdv/mx5tVaHGAOLVLJ3vGWwZqfak6sVWPXXntt2/0UMWUrZsFiLCiwLNfcWCuzGLVFC+azMhSGZIGCRQfmwDJw+bkH0drQz0IFhqd8RGaFGHnkpQwyqRcjRkjkSvAY6S1icJ4sFjm4J0FyEIVyxG/Ids5kMYfYajfy+GbgFleob38rafcjIeRgubL5vfJRL+fkhZykkZd6kF+drXbzH4GEZM0JJq+6Om/ZsvLliTwtM5YnfODiPNnVS3uRx/xi1xFydtpdylzkZ36ychBddhDVLuQjM/y1rfaSt7nM6pVtvN0Lbwe5YWneNBldc8696uC/JdjmR5ORvPJDxO7xDY+QrLzIJK9s9Gl+tHqJV5GNCjceFZTEs0JgplO42pxRn4WF74jDmgplS3DeAWVHCFZILRW1itEjWAp+5ZVXNmNTBiL123n5IRzkJa2ltIgku3IiAFtfMzBlMUwrxtzL8BiR84gAaTNuBpYdTy1MQKDvec97mteG6JCp9LYc1lkIJoNAGb5vaQS3USdyIA+E4RqCetzjHtfqg2CsZiMvWRLLAbmqjz3s3WfxhLLkf9lll+3YKZbciMw3meCAlNRBmYjPPWQPgSJX9yhTvkg2S4XT2VkpBxeEDj9LjC03ll7+/ssv5C1PZcJJ/XRQriFd5ZBdPkvNH84O1rsDSwAAIABJREFUobBApMp1H6zIo+3Svv4jRe2vo9FR6lToj3LIQC90KDCkD75hrL106BaZ6DSOO+64tjybHlr04l66oQxxM+Ldw58u0DN6oY1gzXu2YjHkPiuDrXw3HgKzJdmbb+q6m27sugMP6hb22ntJdPL4jrCuvvrqFsQlHupSj3uIGFExQEtgGSuSkA+Ddj+lZ6QI2Kox5MQrYVTKQYSM48gjj2z3ISpGyWvJkIB4A+SRRnoer8dL5xktAmZozuVRXdQw+TJkS4WRnXwRM+NECEiA9xQiQh5HHHFEW9LLaLNNsbojMYSHYOXJS1Qfho88EAQyQHRITMfhnpAf8mD0CAKx8rQQjbogGvfLi2xIGKkk8hgZ3aducHaok/yQEYJEVORRL+QnL2Sjg4B1PGmeXoYX4IWMYLPUcEmGPtTX0mhR0eQJ92yjrb0QHazowrHHHtuI9aqrrmp11wbqqT3Ior6IXn3lBSf38l51HD7q5WlCnXmj7iW3tDpAHYb2lj+vlXzqK2/ndKB0BdnXUQgEgbmYwsWIGSPFZbwINo+Ti8ftkAmSQpquMRSKziB4O0iRsXz0ox9tRow4XENSSJnBMApl+T7xxBPb77POOqsRlbwYqMdF3pbH1jxqZgyQfMpC2gyZd4gYEIZr0iM30b6UjfA9busIkDWDZOzkRDy8QERl+AMRIM2M5yJS9VSWeiNrJICgycfokRsyQDrxYpEYedQ596gLklUeslYGAtIZIRtYScuTlVcIEIHy7JCMIRdyIxh1IgcPVoeDnLMKj4zIRhtoK+0B+4yJIkVlLTUuSx/SocgPWTsHayRGfmU5Byt1lx8s3vSmN7WQl9pWm8db1THDUCdMfnXzDUPpyC/OhLzkrY2OP/741v7q6FsHrOOhG7A455xzGmY6bem15dFHH906L7It1YEU9Ww9BOaCZCkpD4LB8DJ4SLwShh6SSdNEqZFHHv8ZqsdtaS+55JJGcgyHEckDIUqb3RB4QwhC6EJBZRArA0QESAo5IE7G5Vy8IEbEyJDTM57xjPbIyuDjAZKfkSlTfTKWyhMVopHR8Sb7UcbUlQfrcRzxIVIkkVgJyhP3VhkXXnhhywOphSCQpAMpIRJpM7yh85Afo09sBVggq7xcQkw6CPWNZ8obRCjIFSmqB4LkvcNd2fLQMSAXB/KChf/ZlUKdyaBj0a4IMtHMkC+i0nHxGvtkq0yeJR3QGWkHH3UgA5yQmE4pnSWS1aaI7/TTT98xVm0YwaENyXD++ee3+rhPB8hD11Zkh7l86YPr8uS5k02bul/dYKwzffvb3946PDhpU2Woo3OeKnTWwWfrUUvV+G6e7PZ+sIBVxmb7V2/pultu6TpGfM+7v71NURQbARpPo9C8DyIhPsa43OMXgmBwlJt3Qal5YZlJgGyRlG/Ew2ND6Am4jRjOOOOMRpYOcjB8aeRJDjIxMN/IEikgukT8co/7ycqgEAPPDWEpz4GU83KOx0QexkomhIkgkUE6G0YeQmf4IYoEukEI7s1LJTKRN55stu1RzxATckNUSDmzLpAB2aXnyaqfNORHqrw69TD8op4ZuyR/XtzlJaBrOjYdnXojVt6vTksZOhd1QlRk551qayR28sknL+v16eTgSi6HvLSFPLSfPNQT7oju0ksvbQQIV+RHHh0I3ZBWPdyvbsjdNYSufVxTL3kjWTJ6ItEuOmk400vl6NQ9NUnrHvgpL8NRMFQ20q1jayMw83my08JLmTNtJt7a4rwYM/JwMEKGkjFSBuWDfDJNyXUE6R4G5X4k4JuxKM91n+SD2DIlKG+YkRPycziHOHwQDlkZvTwYJbnUhQG6znjJlUfJDJVkBwf3ZM8x95GL55WyyKVOzmWskdz9I8Mo7s8b8VzPFCpluN93ZjJI4x4yhORhpyz5KHepshBY9jlLMJ+0CeKWP88usmiHhLKEFaJbbjoXgoOVfBzaCoE6h3ATwCdykjFjuqlzhpQyiyJeqc5bW+blm3ujQ8qDgfyVR2dSd16+9s/wSO5PvaRXr7xEndYG6r7Ng8BcTOHaPHBWTYYiENIN8Q+9r9IVAhsNgZmS7PY77+y6O+/out336BZ22WWjYVPyFgKFQCGw0wjMdgrXDZ/rus9+pusOfXi3sM/SOyPsdA0qg0KgECgE5hiB2ZJsReGa46Yv0QqBQmDWCMzFFK5ZV7LyLwQKgUJgvRCYPcl6833H7V23117dwi67rlc9q9xCoBAoBNYFgbmdwrUuaFShhUAhUAisMgJFsqsMaGVXCBQChcBiBGY7hevrX+u6r39dpJNuYbdvTyivoxAoBAqBrYTAbEl2wOwCq6Usc1xuZdc8NIZVRAk6ndVH8ySX1Uz9YOPrLZuFBlaBZZXdesuT8iOXFWNLhdJcLzkT3F0bLrf6bT1ki1x0fp62tadb2nLe5EoAeEuv++247lO4LHNEstbiz+uhQS2NZZjzFPSDEVheanlolt/OA4YJEmNZsM+8HJbGZllydpyYB9ksH7ac2XLjeerEEzeXzs9TJ26ZM91PiMl5aEMy0HtxWAQfWjuSFUvWgoSHHtItLGNslEsADuw/rweStf4eySZYyTzImkDZCIOBzsvB67e2X9wAa/3n5RA7QqcEq0m7b6y1vGwAoSWewlqXv1x5OiQdgFgN80SyHJ6E5pynJxIyCeDU92RnP4XrW98SRUUoqmUfN4pkpzepItlx2BXJjsOrSHYcXutCskNELJIdgtLSaYpkx2FXJDsOryLZcXgtS7KzjCc7RMRpSBa5eLwSRi+bAyrL2KT/XqZ5xPeI43FVGX57uTbNAP6Y4YLEMhVGUcg75XqcZ+B+Z9A+u6YauxHCMLu85rrHILJPGqMbS7IJeu5RWb7ZGZdcCcMoTbbAgaPz2W3WwL60xlknPT4OHS4gvzKEenQw6sU7vjqn/IQlzCaR5FSHbDPkN7wmPT6OIVnlaJPsYKyd+rvykhsGsCSDa2TQlo7snkzfpJmke0OHC7KLcUJzZneIfrjGhOfUVvDwko+tpO0SsjEyTXrRNpZkjZUutjN5ZMNLdgCrvBRNkH4yJMTnSljBdprhAuXC2ZCMtvI/u13DR3spO3u3uRaeCZcEO/XQBouxWxeS3f7FbV23bVvXPfj7uoU991ySc6chWSDbqsZYUbbyBpqxEIp+zTXXNDCBlM32sm3MNG9vh5IsRRa82nYlBuU1nnipgkoLFp1tX6RxTWBwkfZtIZN6IBNpRe1H1JNmXQwl2QRGF0xaOTARYFpg6WxMqR0oGEMxcG+nATshMBr3+zbOmq10Jr04GkqyjEzdyWEXB/nbeUEQbHJEJm2mPN8wyWaI2QKeIauPa5PIfyjJwlUbCcbO+ASPt/OE/LN/XMifvklP97LPXDashGc25jSWv5zuDSVZMhhTlk8CiZMJXvAja/Sezvrthahtg9hKSFr7e9GcOMw7MyarDQRXZ5Pak2zyV29t4qV2YkMbC2cD9pSDlaDoCfSuXnBzjdyTnKGxJMsu6bmdM9RZm9EFOiW4vHFUnzhGsBPAn2z0kzwJwk9ubQ3PxVsMLUWysF33KVzTkCwFe9vb3rYj4j3CcthBFSnZhgYIeQPJI0Ec2U57iIfdTzOUZJVnoBvBZkNBuwQ86UlPakpHObLli90E7DqgAUXZpwTZAJFSMhwKMGljvqEkSxbbtWR7bfjZ38ruAPDncSMPykcuW8voyS+++OJ2D0ylo2g6DHuI9Td8XIznEJKFKeO03Y2dLdQ/nsPTn/70trsC0shmjumEKLbOwnmEmica5J9NJpdr36EkS7Zs1skQdXjveMc72o62ziMRBEGG7DqcLeQvuuiiZqwJ3u1+WNO95fb9GkKyZFemF7DaCgkgNFjrBOy4TG5E5Q13iJ8stt1BLq7n6crmneo1qVMa4snSj5AUQkdCykKS9EuZZKdXnljUwX5qdNwGlXBznVx0zm4Sk7aMn8aTJRNyJwOi58QkML293NJhsRP14ZAhZvKed955O3ZWpmswxzP4RPv3j01Fsnq97FhK2bK9it8a2LYmQEivn4ZdPH9tKNmOIdmXv/zlTWE0mIbUwC984Qub0iMOCmQ7FqSisZBWNvPTc+axXTpKOmk2w1CSlY5HkZ1yeTGwoHDOMyadEtx0BAyQ8vPkfBC++lAqCuh/HvGXwnAIyVJi5SKHeGJwhsWP/uiPNnx0DDBC6AiZYTJCnRJDgVe2GCKvek3y/IeSrHLs/WX/NWXDQ8d90kknNYNEBnbS9cgID7giOuTB+48XSS/JhfjItjMkC3/yqIPfOl/lI3x6wh6ct10RY0cW8NFRuU+bkINNeFrQ3mTfWZLVjuqJ2BErMtNmytKW5LKBJz1DwrFFadkB+eiSdiQPffc96YlzGk9WR2aroQx9wUhbnnbaaQ0Tup95t5wyHaP2siGqe3VW9FW94E3GwSR71llnbT/zzDOH8s2odLMaLkBW5557bjNCjySUBkCICXFQeoYLFMqlYe3LBZxZjskyzrPPPrspDqXJ5pD2scq+VBrPXmQa1gaKjMHjHA+I7AwVMfPuGOgkMhtKstkChlIhLwqmV9aL6wgYhk6JQrnGKBgOI0AmjDW7xvJ+EMqkqVlDSdbwgDIoLi9D2zDWH/7hH26dEmLN+DrylC7ehSEh7Z094eCFyCYNYwwlWRggCGTOuOgXbzAki+AuuOCCRghwgak0ZKSXhjN41QhaGnK5vtx48RBPlkx5LIeZTib7s5HBEBWs6BR997Hhp8MmnPBFfnTMh0z0a9KuukM8WbpF13XG2ZsveqX+CF4bkUe5IVn6R+fh7MkIYXGS6BbbXU2SjfdrDzhY4wofpO/pxN57sQtpYeKpUjtfccUVbT+5DK+RU31gt/h9ybKe7CxJdggjTzNcgKB4FowUSDFEBsEQPU7KV4+nYRGChpx2AvpQT5ZSkklPiCwQgvJ9y4NxaCDeQ16cUExEa4yZjBpOY2lM3uYkMhtKsspGmsb0YBJvD6HDEslTGkZL+clALnWBpZ1bHXnRog6T5pkOIVky8W4Yp4N88vQ4rFMij0OHqvOKJ8igEb+OQdsjTnkxCt7FpBeFQ0lWPfMI7DFfB8lDRQA6Kp1B9kJDBtpBO9M/hkweQz2w9FtddPA7Q7Jk5zyod3bpzQadcKMzCJ2HqnNAZs9+9rOb/iAKbWIDSDpKJqQfT3dnx2QRlI7F+CVsyICUtBm9do5NING+J6tTR2gcD3g6YLySMzTWk51EsqecckrrgHi5SFV70kHYkNeQGczsvtznGfgtfgrYVFO4GKYKAzseD2ViaBnfyxvfzDjggQFulp6sMlMuY9RT+jAGhKXxKBsvhPzIw7gsI/GbcVNUREFuj34IbbljKMkiUo/lOhn1p0y8BQqOxOCIEHxTdnIgYOlDFB6fkbNzSBeWyx1DSBaJI4sQWsahs3U72TKGjRSUnVkR8s9GirwMGGt/26lPWpE3lGTlj2Qz5qp8niKCz4uajBHnTbm02QBUh6F9eWnaEsnCbPHjZfAb6snSH4QAG3ilbJ1L/029cmGng5AmG0+SGUlrQ+1Ppkmd5RBPlg7CKrMI5BfC5CToSOGho9IJaV/tlaE8365n01N1IdekWSLTkKz82VY27mSDyvW+hPz0iOfNPjJ0kR2qyUgnEDE905nx1he/l1gXkt0+o8UIlIXi+M6HwlJixphpPVFiwFGskMwQD7ufZqgnm3uyRj5r9/uxDzKmhlz0miEu9/JoM4Uku59OMoKhJAsPSgazPg6REz7KTU9NLkaRHVsjl3rkUWo5wlCPISTbx0r+mUGQN9FkyxvdpA2emboFy0yZcm6l5Z9DSTZT29Q1ux3DRptlOhIs4Obbkd/Zkp5ckd892ZZ8Kd0bQrLZhVeb5zc5/e7L5Dpjd8AruMZO+lO4yDSJzIaQLBk4DtldGQ7KVw65yCNNdmn23+GbDrkXVpEZiXnyW83ZBXkK0x6xJ3iQUVmZ3tVvmzztwUe6Ps9kheWQ2QUzD3W4vZbVjuXzUemHkuyoTFch8RiSXYXiBmcxlGQHZ7hKCYeQ7CoVNSqbISQ7KsNVSjyNJ7tKRU/MZn3myQ6IwjXNmOxaALYznuxayVckOw7pItlxeBXJjsNrU03hGlf1nU89drhg50sclkOR7DCckqpIdhxeRbLj8Fofkh0QtNuLFQPP3irO64FkM1BfoQ5XbiXKBq95C3VoGMPLDi9epp1psnLtx6eY51CHOiZjt/MUhWueQx166ehl9pqFOhyibt7kmf836W31kHxmmSYTrg2Cz1PcVi9ieBtZtz9LDMbkzcPuv20ec+8s0yL/rCya9OJuljIslXdehtKteSKzzIAh16T5tGuNlzak+15aTbNMflby0nvjxeZIzxXJGpM1z27SVKVZgTI033keLjA1DGHMWzxZyuZN8TzFk/WWmIfNOOcpniwy80TnKWmeyB+Z8bJNWZon8s/UzZViLwy179VKpxM3X9g00pDs7OPJ3nHHt7cE39OW4LssWZd68TV9E9eY7Djsakx2HF41JjsOr/WZJ1uzC8a10sjURbLjACuSHYdXkew4vDbNFK5MDF4cd9SjTSY+G0M1Tpl1/wm6konjYx/J1mq4wGNjJtoP2RtrrUh2rFxrMU9WWyZoDeUeshHnWpCssULlZBHDEF1bi3mydIXteK+QGLkrUchakKy2i93CasjY71rPkx3aphueZI1ZiehjjC8vLxIX0+oQ6/KNTyJEjebcGWec0fRIQBazF0JK1kqPOYaSrHTiADAaLwu8ZbTenOyJD5sVMdIxRiH6jC25x9I+672N61gSOSk4DPmHkizSE4PA+Jp14SJ/LS5ffozQGn0EJmCM8hma9ebws0SSvCuNsw4lWSt9lEc5E6NTNCQH7PKSEZk6zwid1wFpa7NSLMO0VNRa+ZXGWYeSrPaCF7kEVTETQfm+4aL8vAy1XNlYqvJ1kN4uW1Kd2LPacaXNEYeSLHKhI+Siw/StX35W6MGG3ll7D1ekyj68ldd27qNnK42zDiVZS7PphnzF39Beyvcy27uWBIj37sXybG2W2UR0PeEQtbflvivt2zUNyS7Xpn2d0qa4RVt7x6FNXR/apuszhcvyvjvv6Lrd99jpMVmKI4astcbIwrphRkNpNBQFE00nS0UB9pznPKddo/TW4gPB+mMNzAiGvpkcSrKMXiMxdr8Tig6JWvsuihPFRvrSuI7ARL1iLOpEAa2rprRHH330xKXAQ0lWnRGasmGhZxbEI+ULkgELgUTyMkH51pCTleL7JGi00H+TtmMeQrIJ2qwOWQrqpRTjZ2SI88QTT2ydpSAdzsuXsSA60Z28YFAPs1PIzyh4QsstyRxCsonaJj9tSa8YGbKEYcIt+hYLF4nBVNuRReelI0IYiDqh+9RpObmGkCyd1448djqN2MUy0HknTgY85KXNyEC3EpKPbXjrjTQEbdHRCnKinsvJNYRkE0IQKWmHxCdgb2IFJHqVttWh6iRFUBOXA9bS+E0GcrkPjqsZhWtSm0anEiJS8CE4wpaNqs/QNl0Xkh3iLQ598aUXFkYwoQApiF5RtCNKBxSAZXpHov8jrHheFCwBUCjhpMDTfdmHkmzIglxkoix6c0EpKD4lp4yiD1FyBpMdHigheRCf8sjtfka0XM8+lGQ1PmwYGpKi0IhK+XptGMJIBCmemw4K6fNkEVPmuyqPQSM8n+UMYQjJZo96+cdL1MYiRSFgYSwpPhmFxBMFSdsKkJK4Aa5lK5bMT5zUeQ4h2ciV+K06Fx6YgCDk81s7khHRiwRGJukTRo9cPs5pR17npGj/Q0g2T2iJQobcOR46aOXDHKHpCOApWA5yoDs8v2zr4lseCDTB13eGZCOXMug1GbQFh4IcdIiu029eOBwRGTyky0wPtimNzoQOTJrHPNaTndSmsGCrHAc4cDRg6hyMMlQ2pE03dKjDPJrxHCg9YBAXBabwIqwDiKfmWkLBPfOZz2weBa/Mx6OL67ySMVOehpIsYyFHHp94e4yBNyP8HFkpF2VMuEAki0wYrfCNSFUeOg2GMukYSrKRi3edzii7CKR8BK985/MYithgySh4IIn8xDgnHUNIVhmJHMWbUZeQBmXlBTI2yi0eKq8ayWlHpMXQYKqDQPzakwcy6RhCstnbi8555FW+yFG8amXy5hkk+ZEsg+QxyhvBaHv3aVOeJ5lWmgM+hGThg0B98wTVFx7ILOXrONNpkVc68vNmRa7T+ZNLZ6sNV9refognm2AwKVeeyPLUU09toT3ZH10nK5KFFz0jk6ErT3janezk0mmt9D5iLMlOatO+TnEa6DrsdFx5ahraputCstu/9tWu++otXXfffbuFe95z6ilcCYen0Y0zMWLGpqF4tB4tNWy2j9BI2fYl42kaWm8JPIo/1Isl9FCSDZnLO8SWPY+QO+9Zo+axM5HE9O4MmVHa88t1CqmxV4Nk5YscyJXoUHBJ+TwNxsuziFfjP2JTpxALY0BoDHVnSVabMnodZbx3Sp1xWJh7JPaBBQ+MTEiDt41YyINk/YazDmpnSTaPsAm9p6Nk1ORgRDD0TQ91Dmlr4Qx91AnGiBjJZahlklxDSFaeCCkvirQfGXXa7le2/yEu8pJb5+g3WWEKO+82fHtSmnQMIVlle+rg4PBCtQ9blLf28eSZoOY6Tuf914GzR3WCIR1Evs6vNOY/lmQntWl0SqeqTRE9HcQlOkdPbEPbdENP4QKERx+V54llIzneLPLMwLneXQNoXEaJ1BgoBXCPxvXbWOeQt5hRwKEky9ND+PJmnAwAiSAUiuTRLZsrIisNq06IDZklPSVlNCuRxlBPloGSi0yMgCzkSvnki4zOkych4BAs70QnoKPgmevcdpZkMztAZ4gw4MDolK+tlA+r4OZ8wiwmODq5slEfTwjB7CzJ5uWH+pIn+1XRO+VrI9cMS9ALugZX6cgII7J7anA9Q0Q7S7JZ2k036JHytVm/fG0VJyRDBAiW3vM0Ycmjha+ngZXIbAjJkkvnnHCV2oAdpHx4efRGVtoTPnQQRs6rA/y0o/PkWmlGxliSXalNYcQe8Ym02jr26/fQNt3QJBuDpOR6yxzIAJlSukzbUtFsr50x2GxFrPGnWYI6lGSHjEEvlSbeiQ4gY8ZDllgOJdlp5UpsV7iTK6S8Ugc1ZLhgWpncx6C1PbLIds4h450l2Z2RK1uIyyM7TGTb6Z0l2Wnl0mbw0mZ+k4s9ILSVXvwOIdlp5WJTeRlLj3mOeVG8UmD9sSQ7rYzuG9Om6zOF6+Ybu+7GG7ruoIO7hb32nnq4YGdAWo17Z02y08o4a5KdVq5Zk+y0cg0Zk5027525b8hwwc7kP+29syTZaWVy31qS7Bg514dkRY33WViYOH2Fq+4xdF6PItlxLVMkOw6vItlxeG0kklWzhe1ZBjWunquWeugUrlUrcIqMimTHgVYkOw6vItlxeBXJjsOrjfWVJzsStP+XvIYLxuFWwwXj8KrhgnF4rc8Uri9s67ptN3XdAQ/pFvbca0mJs2d7toAeV621Sc2TNfXKi4Ix82tnLR2SJZcXfGOmpM1aLsqWHUqHxBSYtTzJPxtKwmregnZ78eON+0pLcNcKK+VwgBK0e6WXnWspF/Kn+2YFrPTybi3lIpMZJqatrVk82e0DonAhWfMczXed1yMkaxbDSvEE1rIOGjVBu+eNZBO0e95INnEv5o1kvcWmWyvFE1hL/SqSHYd2nizNdV+7eLIDSFZDmmdXQbvHNajUWSU1j0G7zd9E/CvNxRxf6+nvyPxNTyMrBZOZvpTxd/Jikb85pSvNER2f+/R3zHPQbk9LFjasFExm+tqPv5NM5vtaUbp2JPulL3bdF7/QdQ/av1vYY88lpa4x2fGNmTtqTHYcdjUmOw6vGpMdh9e6TOEaImKR7BCUlk5TJDsOuyLZcXgVyY7Da9OQ7HLjRB5PvdgwI83HY1fWZnscy6owsI19VKwpXOOUraZwjcOrpnCNw6umcPXw2v7Nb3bdt77Zdbvs2i3c4x5TDxcgOWvcBbmw1jlBHYx7iE+gB/FWz9huritMFC5pRQMy5iudNNZHjxnLKZIdZwRFsuPwKpIdh1eRbJ9kLan9/Oe67mGHdAt777NTJCv4hcAc1l7zRPvTcBLHMySMTK1/fsYzntGibiUCFsIVIEMQCxF2hk5LKZIdZwRFsuPwKpIdh9eGI9mzzjpr+5lnnjmulgNTD5nCNXRMFnEiWuNqogohSiELkSly5ck6MofOFB1RrMzXNI3Im2XfglIgTbE/h057KpId2OD/L1mR7Di8imTH4VUk2/dkB07hWmnFV8K8ZR8vj/ziTxpzNUVIOMOMxxp/RcTIlScrBJ14qkKWCdGngdw7ZlFBkew4IyiSHYdXkew4vDYSyb75zW/uFmbqyd76DbHCuu7e39Ut7Lbb1MMFCdGGXO0TxFvlhVpZgTjF2HQOuZrUjVjF8zz55JOb1yp4srS8XoTr90rR1/vCFsmOM4Ii2XF4FcmOw6tIdhxeg2IXJDiyjdoMEyQ6vWEDXqnrhgOQqwbwkoynKrJXIq8zfOd5vqLpj1mOVyQ7rlGLZMfhVSQ7Dq8NR7IbIQoXT9asAcZrapaZAYjP/+xOKo3fSee3T9I4b1zXubGraopkxxlBkew4vIpkx+FVJNsfk7399q674/au22uvbmGXXaceLhjXBKufukh2HKZFsuPwKpIdh9dGIlk1m2k82dWcXTCuGVY3dZHsODyLZMfhVSQ7Dq8i2RnMLhjXBKufukh2HKZFsuPwKpIdh9eGI9mZzi644XNd99nPdN2hD+8W9ll+MYJZA7X9zDhFk7piF4zDrGIXjMOrYheMwytRuHDZ2sWTvfNOTNB1u+++7LJaq7FMq7I//bweXqolaPc8xZP1Mg9+Aj2PmZI2a5yRf7Z+nqe4rYzAikEzTOYpOLaZMeZ326F46CrEWbeh/DPZAW8zAAAgAElEQVTnnM7Pk1x0i46ZQTRmltCsMVuXeLJDKpWdESpo9xC07p4mwXDM/11pG+XxuU9/R8k1Drt5xauCdo9rx+yM8IhHPGLt4skOEXHostohec0qzbyOyc6qvpVvIQCBGi4YpwfrEupw+y1f6TqffR/QLey++5ISF8mOa8hKXQisFQJFsuOQXh+SXaXYBeOquvqpy5NdfUwrx/lHoEh2XBstu1vtLFd8reY8WeNWyM7Yo+8cBr6dc93hO/8TMzZjXq5PM1BeJDtO2Sr15kBgDMmyEfFC7n//+7dVlu4VV4TtmT3kxaxAULFhO83a0wwxiTfiBalvL7NWivW84aZwzZRkb76p6266sesOPKhb2GvvnRou0HDiydrNE8hZYrvffvu1t8UaFYEafhBv1ttQjehIFC+NNyb6VgQukt0cpFG1GIfAGJK1M8mVV17Z7Auxss/HP/7xLbyomCNecLNfMxbY09FHH91I2Dn2LCzpu9/97s5Or+x20ovcDUeys5wnO6RJh47JmuaSkIViwn76059u+65rSA37kY98pDWYRtWIGi0zFkx1su24mAUaduxRJDsWsUq/GRAYQ7Lvete7WqzmbGnOKzVfVDhSUfJ4qp/5zGcaeQrUxG55sYLqC6DPA3YdH9jtdZIzVCQ7UruGkGy2nzFXFbFqQA1iysRxxx3Xgnm///3vb+d4ttI/+MEPbr0l0tWrXnrppW1fe+fGHkWyYxGr9JsBgTEkK9odZ8YTZII3IU5e7dVXX9094QlPaBHxOELs8aijjmqE67dFIu6T1tOoaHr777//shBuJJKdeTzZIYo2lGQRqEYyB823bWQ8VhxxxBGt9zz77LNbAznn0cU+Xo95zGOa9+oR5bzzzuv23Xff1oOOnVhdJDukJSvNZkNgDMnanUTwfE+PxmA5O0KSenJEsuyWrRs64ChJx1vlOHnKtBiJneZpc9K7kyLZnqZt33Zz1xmXfciB3cKee+3UmKyVOu973/saqeoxjd8cfvjhbfxV75jA3OLNXnfdda3R/NYramQEq+fU0I961KMaIQ+dwF8ku9noo+ozBIGhJGvrJ0MAH/jAB7pTTjmlPVl6ykSYHv3ZphV2J5xwQvehD32oDSGwR8MFhgB5s7aDyoanhg82y5hs82Rn+uJrFadwIccrrriiPUbY2eCqq65qvaPhAI11+eWXtx5Sb4iENbDrxmq9GNOjOu8/YrZ7bcaPVlK4ItmVEKrrmxGBoSTLG3UIou8Fl8d/T5TGZJErz5bXyg4TON8SYvl/6lOfal4vYjZ2e8wxxzSbLpIdqFGrOYULkWoEvSAv1HQRjZMA3AbQebSZymX8lSdr/NZ3CNXgvEZ3TmMOOYpkh6BUaTYbAkNJtj99Mr+XWurdn2oZrDLlMtMyhzxhbqThAvWcrSf7lS93nc8D9usWdt9jp4YL1lOBi2TXE/0qe70QGEqyay1fkexIxIe8+BqZ5aonL5JddUgrww2AQJHsuEZadsXXRpknO666q5u6SHZ18azcNgYCRbLj2mldSHb7gHiyZg0YDLfr7Lwe2S3XirGsIptXWUuuQmC1EPASyzsMOj/0JfFqlT0pH+9mEJqZQystwV0LeVIGmXCZmRKZgjbzebLbb/h815lhcMhh3cLeS++MgGS98fe2cV4Pg/PemBq4n6cg1POKV8m1ORAwtcpULDo/TcyPWaFg9SfHh1xDp2HOSpZ+vlmEYfbT2pHsgClca1H5KqMQKAQKgfVAYC7mya5HxavMQqAQKATWAoHZk+ztt3Xdbbd13d77dAu77roWdaoyCoFCoBCYKwRmOk92rmpawhQChUAhsA4IFMmuA+hVZCFQCGwdBBZmOU92+223dt2tt3bdve5dwwVbR6eqpoVAIdBDYLYkW7MLStkKgUJgCyMw+3myRbJbWL2q6oVAITB7kr3xhq77/Oe67mGHLLsYYWgzWBAgVKFJvtmMLRN+/c95k6eFV8uGi4nu048AJO1yk6tTjpUk7pFf0rq21AoTZYwtR72zOWQfgyFRiCZhlk0jU99M1l6M2VDcK10hUAhMj8Dsp3DddVfXffObXbfbbt3CPe4xtaSIw/I+4Q3FpRS3UtBfgbmdtwumWJXiWorQbvcDoQ4FE7ZLguVuVpRJKzSi+0RtX+qwmkQ5iTcryLD02SbjgAMOaIQqsI1v+VkNpiydAPmUIx+hGMW4Xe5A4O7Lthvys2UHonW/fKxqSRnpQMTDdUgvlKNyk04adVY/sXXtEuqac8qRfx2FQCGwNgjMnGRXqxpIxHYzPsjCmmoEduqppzYish0NUhLQ4g1veEP34he/uO16aUcEhGnrmsc+9rEtMDCSsd8Q4lzqQNi2yLAX2LZt27qzzjqrBf9O/k984hObhysNckV4PrbQQMTKFYpNzFr7jy23VxGCJI9dHBCjLXHU064NiPr6669vJMkrtymk/JEk8jz00EPbeTjY28yh0xEkWUdjmbLtd0SdR7A6DDLB6aSTTlqtZql8CoFCYAAC6z6FC7HEK1z82CyotsAUPNF3vOMdLfgC8uKV+n7JS17SAm/zBhEpIrnwwgu7pz3taY2s7GiLcBBPAnjzCo8//vhGPEsdtrhBcsgY0b31rW9t5EUGcRae9KQnNVLlOfMi7dJ55JFHdu9973vbf+uWdQRksVWOz1IHYkWQ7vPbMAQStS8Z2dTVbg7nn39+C56DwOXFUxe43B5J6serV1dkzWtFzGTTiZAXTgJpOGd7EFuAVPyFAZZRSQqBVUJgpiS7/ctf6rovfbHrvvdB3cIeSwftRgoeyX33D0Qmmo3HbQR3zjnntI3aECoyQWIvfelLG+F98IMfbGRrs0Tk43H7xBNPbF6sc0jZh/cnP2S1HMnaxgZRSmu3hXPPPbc77LDDGsnxlJGUnXARI3kSdedNb3pTI0p7GiF05MbjdO9yJKveSLO/y+fBBx/cvGGES36dBMIkP7K99tpr2/CBvG3doa7I+JJLLmlEKh2yR/SiJ/GYeblwQuoIGUnXUQgUAmuDwLpP4UJWPC5E0z8QFmLISyWPy0iOx8bTRDwICWny0DzOIxZjpggOkSDGt73tbe1xGzEiGcT9uMc9rg03LHUgMXm63/AEIkWavG1kj4B9h/yRpPFfGzsif+RtCCOEa1M4R16kpUz1di9ZyZ5tOwwv6CiQN5kvu+yy9l96xGoIQNnyNdygzurE60bCOhv5kgV+CBcJG9pQf0MYOpA6CoFCYG0QWHeSnVRNBGQcEXnYvwvR8f54azxGnpqPR2rjpMZOjW0iZCRkTJUneuaZZzbCdZ/rriGwpQ6khVjtC4+sjHsiVp0AkiKLIQxy8SgRlnwNUxjHDbEhOdd4mjoRefQf0+XHU0aaPGvX7NaJ/A1V+C0v5KwzIZM68lazYaSOAB7S+G1YA05ws5OvTkK+zuugjCMfe+yxa6NZVUohUAh0s5/C9YVtXbftpq474CHLbgk+qR0QkQ8SSaxGpIRoeHy8PySITHmPSIVXiIx4ujzAeLg8Q+kRIzLk8S51IGNlIDtDEv0NFxEVwnQtU6LkQQbDHcZ+kZygwspCjsjcPbzJvgfJMzUUQEb1IbOyjbP2ZXNe/eGQWQiZnoXA5ePwW5rIjmgNrfB+dUQwcp/61FEIFAJrg8DMSXZtqjHfpSB/5DpPEdznG7GSrhDYPAhsmClcmwfyqkkhUAhsJQRmTrLtZY7PwsJcbROxlRq56loIFALri8Bsp3DdfFPX3XRj1x14ULew197rW9MqvRAoBAqBdUBgtiRbAWLWoUmryEKgEJgnBOZ6Ctc8AVWyFAKFQCEwDQKzJdmv3mJ+k4X13cI9d59GvrqnECgECoENi0BN4dqwTVeCFwKFwEZAYMOQbJacAjXxUZcCOEtwE1vW6i5LYPsT+RPtavG5xJFNvlZ1Oef+LAhwr8n/PlkYYP6r8qTr3+u8dIl1mzixi+Xvx5RNnvKxMCH1Vm5i22YRhPxTRmLISudc7lVm6kGWLF2WJoF3UkbSKjt1TtzdpTBfCmvl5rwyFmOdc9JEFnmTxX8yTsJafo4swPDbvYuxXryEOe3Sj0mceBHOBa+UvRzWaWP3KBc+S2EtXT9+b/Sm307O+Z86L4d17okeJaZxsM7/PgY5F/z7sY7JHR1WZnRmKTtZbBNZwShtX/+X0o+lsCZH7nWPstOm80iY2y30MTNKmNaFhW77t74lvmi3sMsu7b8j+k6fohP9usx+ChfiufOOrtt9j28LNuVBoayqsszUctXlDiucrLgSS8AqK6udrAKz2slyWaurrBSzGkpwFev5xUGwMksZInlFYQRSsZBAVC4rskSyEiNAGsttxQQQdlCsAvECLHsNuQsKI71ls8pw3VJe34sV0nWyUDarxqwQYzCWy1phpuGUYaWa+AQ5py5WkYnlEFK2UsxKN7Ec1NfyXDI7pHPOYcUabOSn3hTEslwxHtQLZuoMG8FlllpIAWe4WlJsVZ2luzCw2s2HbOqsbiKFSQMT5SbOL1nkbVmx1XUC/Wg7ZVo2bXk0WbSD88pwCJyTVW+WUmsHK93UA8YwSMzdvq4kJrFrcIQrMoCD8hN7IvjTOcuS6YwPXdBO6kI+mDmn3fxWN3jC2uo/+ZBFOdozJJO2kz98yO9+y6UXY00++MFUm/hPRyzrJnPqoU1hpV0QmfwsrbaCUDmJfUyv5UeHlUdHtJW2k5Y+Os8m4CU+hoNuuxce0sIBXuqyVCwMS+C1E/2AhfzgpE21v1WI2nO5GCJTUsWq3bb99tu67jOf6rpvbe+6/R/cdffcvdu+7eau23ZztyAeyXffp9veLTQbwDUwhqX69Ntw9iR7w+e67rOf6bpDH94t7LPP1AAgB4ZAGZaLOUCJBHfRsBpYOvECGB2jYAxiyiIt+WlsDY1UNHYIOstT3YskrrjiivZNoZEQJaSgDEO+jI9SWyIb75BCMQjnlOG6Mihln2QZjHyFSyST68qluOrjfkqq4XgfZFamRkSAjEG9KDm5pEPwGhzRhmzIABdlkZucIY14hspByP3OB7GH9PuNRzaxFRglQ0QiyiUHQ0KWgvDAUoembAQLa9ggAzJm9wokixQuuuiilhfFRVjSBEP3ihuBVJSbpxTp1AfJJiiQdlpMsrCWL6zhgLRhDSPYIkbtLI+0Z7wxxgMfQYDoU4LuKEf8YfIoTx3hq36JBey/TqNP0P6ri05Y2enQtN/iHTvIAmudOwKHnzrTAVjAR5wN9yFEy8fphbQ6AmSsjUKUsHZd1DadMvJWD9/kpld0ib4iY3YR5wFpk0d9YaIM7Q7//gE38or1AWuYwto96qsN1IEc8JzH41sfuq7rbrqh677x9W7h8Ed23X2+p9t+7TXfdhr32L1bOPLo7hsL92g6QRdjY5bs04O+nW+IKVw8FMYfcliqUTS4XlzjIiMxYxkGZUwEKnFf5UFxpGFoDEYMVwrGEJCd9f2CW1N6CiEfCkdRgKcnj7Hp3fXUyJgRUxxBWBCldOTWOfiPsPpGhKwQCaVFTK5T/HiHZGSk5EmsAyTrNzKSDjGpN8VmbBo5gceRJDkRKqJjSM5RCOcYWrwX9dAJ6ZXJop4MmuxIoH/AmjGrm/thDUtHQlfKC/YMXxr10A7O6wAYP3nIAWu4XXXVVe1bfcijrolyJl/tpFyKDWtkpewEynEf8grWizuGELTOGDkgWHVTjk5ce6dT1HYwpR/IBW5iGtMdRqWNERZ9oxswIY+2QvjkhaH6yVM7SaftYJDg7gnTqT3JvrhzgJk6I2TtqlxEyCbUh47QazLlqUFnTXYYImhETM+05cknn9x0Aob0B47SaXc2EOdBnu5DlNpJBwRreOmQnEPEMFwcAJ9syBU2sJYXgiUXrMVQRuzaGjbzeHzrikubWAv3f8C3vVlPEdde0y0c9bhu+/XXdQtHPKb72q67NSw4dYkvHb3aFCSLNBgF5Xdo2DwG+R9PhdLqfZGlbWkYPkMRuYshIBI7JYhQxbB862WRFQ8gSk5JTz/99GYkF198cSMCSituLUW95pprmsIjSmSnfDszRBZGSJnjZTvPEMigXErJE1R2tqBBRPKh4JSTwlJQislY1O3KK69sRqj+6oekGQeFZiAMmpzISkfgvJi4DMO9CXbOeHk+Ohly82oTgQzRIIs+1gwamVAm5MJoPEpKq7NikA5tAmttQAGPOeaYRrLZ6SLkjkASQQ3Gp512WsPKveRg0MgY2Xj0Vkdtp35wEAcYeaif+w0jwDyPo7BGJDCVn7qQB0GrA5nV0X9tjpwYEK/EDhz0RthJeClPPRAqObQbklZn5SFOGCJDMiMzWOtw6BSs6Qls6I02R1pIG37asD/+rM4+ZKALsFAmklUf7e7QJshc5y0v5KYe2R3EbhnOSaet6Lo81Y+jcMEFF7TytaW60Ev101awcr/00qln9tLTQfgdwlS+/GACS2VpD3g4YMFhScc8lyT70Q933fXXeTnSLRxyeLf9a1/tuttu7bpt27rugQ/qFo48qtu+555NH7QrzNgYjBZ757OdwnX77V13x+1dZyxyl2+/tJjmYCAaizEkXCCDUZmMfyArZNff00paDY/AGBYSQVaAYYjuZ/x+u9+jLSVzngEhu4yF5WVIHomlQWx5AUGR+3uIMX7KiSjinei5GUbGFrMflzxcU7b0jJ2c5EFgvAsdg0/CH+ZxVBnuC5mro//yjvcIE/UnO0/evf9fe3caM1l15gn+RCaZSSbYgA0GbAM25aJswCzGJlmSpcxOtcumTJXUGmk0GmmkmQ8zGvUsX6o+zXyfaanrQ6ulkUaj0rTVNa2RLLlku2zMloALsHF5QxjjWtghE8gEklyj9bv4n30dGfG+b0ZGvLzLc6VQRNx7luf8zz3/89xzn+c5sDFwEyfXDR/CQi5wIxcyRuJk7mPfX3qAu/xm80REI4d6aLHpt7wkys4R8JKH5klW2CCkvOzRJnnST377uKm1ERawcmMjBG3OwCdPlnOU4xrZsg+b+yeElr7P8grCJ6N6PXkE62w55Bx8aJ7K0b4sS/lGMP1+QujpJwRENpO4fCYMxE5W9SNeAzYkCxPlJUyne0B67dQe9y+SI4d+CtbGi7HhHnIPKx/WCJw8+l2ZiXKXcUD+rNNLI3/eK2gvrd5kr/68uHJPKdO96lAWOcmiDm1QponFfahME/+4dfNp+GEeeYYHDry/4cChg619+PTWcNlJG1vb81a3Hjs49UPtnX37ujHkfjAe8s5n9GXeXEl2Ho2fVGbCIuZNfKwHEiZQPtcSMnH0rWq04ZQPODeSwekmcsPk7XLeiOctbQg4edUZYshbZmmy3psXBf23y5FNHbEIyBvw1O2/mzltGLVqUH+0TWnUE5nzP8QVmWNd4LybPm/Ms6yRtc/+m9NgnbW4/hvy/I7FgMEdC4CQbN7I9vHKW28yBxfX8wY8b79H+ylY9y0EtC0vxiLjJKzVpz1kyr2TumDpmv+jWCs/spIp6/F+5yVTv59ikZI25yUouYN1LAQyUWRyIHsGLlliPTGKtbL6Vg/BKtYFGQOxduhjnTqUHeuIUesC+dwj+tQRnPM7MqqPbMrKem4mwD7Wo+vPy8kXs6irf2/AhBKSeyjlrxoTrlkAUmUUAoVAIbDcCMydZIfvvtOaR9nTTm+DkTeQy93Yqq8QKAQKgeVGYP4mXBUgZrn7tOorBAqBFYTAqiFZazx5GZJ1oNhYBs+c768/Zc0n+WNWkXWifl/kBZp1ln66cf3Vl8XvrP/11zfV4X/f2ybljkuXc/31xHF5s8ZLrniR9dvXXyeL7Cm7X+/otciWtvRx7WMQT5/+y6msyfkeraNfXryWgn+ujfZTyuuv2fXLjayjfdPHZlKaFTT+SpR1gsB87WTFkuWQ8HsXtcECnlqLYc1cyptd39mp1ptOdpUWmvPm0ptmbz69NfYmNWY88rIocI7FgLe3THbyMsJ5b9a9RXWemYyXHqP2f+Q0kL05zRt6dcezyVtv17159ibVf2ZdMVZmcuTtqjeSeeHC/MYbZeccTKeYDXkrT+68Dfd230SgfawFvJmX12K7tN4Ex9wrL7+CK5m8YVa3Bfo4JMjDzIYlBey8xfaG2Ntg9bruWhbz5VUOGbXbG21ySEtmL3PUAUf4wNqLGP2G9LIlub4jM3m9ydcfaZt8yFW98MrhZUze+HtjPe7wtt0B/9X+UmWxMVHXVw8Ci5IscjIYDCCDKiSylCYObfN95HBrG0963/93yoN5BLMPhIUQEU68Vvw30BEdUkVWMathy+dtqMHHhg1ZMHdxns1o3ugjAobuITVEg2AYjI8eCIS5EHKSHzkxazGomdAgA6YcyoxHDvmkYz4DTwQDT4TCjrJvVqY9yB1ZMQsju/9MXqQ3CcQszfbe5FFeti2Pt9mo9qnf4p0EP/UgTHaVMSgnf2w22UeahBBgDK21GRGbkNhNIlqYIT2TCnKHPZmkZS+MgON4oD79Bl/n4yqNjNWRnXfj0Zbdh7VFuepirjWJQGHP/Ey/jXohTXnrVbZC4IQRWNSE6xvf+EZnwEz7iK97jJ9PuPYlFoBsEBYNMnEADOhvfvOb3XkHu0NOBfFucQ4JkBthyhtfcgP6O9/5TqdhORDvLbfc0pE1I3LaIWPpvrNDRJVGWUgbCSE12rXfNNeQLCIgG+3LOWVJJx8N3GHy+pM/+ZNOy3OehmoiYehOZvl9IyHEql5bnDtowrY6V4Y8MEKI8QQbR0QmKhOE9iNt5SNWB/mQtfPIL7ae6pWeAbtzJjwEa9LQNngjTenk5SzhGocN/aGObE2O+PQJPKQhN9KMZ5UJyEc/qcPEF61VOUjYxDLpQNyw5dJbJLvEwVXJ5o7AoiQ7dwmWUAGi4bmC5Bli85gxsL/97W8fJU8ka2Dy7EIKNFqE49HWY2oCvZgwkBGvlRjK+8/zSPm0PY/TiIBGhMwQWWxbnY/rLsJQB80Q6SOsLF1oFhlozLRIdZickBwiRwjacOutt3baKgLVTiTOiyyuusjFRMEDB6mRmwzayFMnXkwhMGlp9UiW1tg/kKz2cRRA7CFA7UuQFRgiVESnPcpDiJY0HLRpSwPxrLI0Y1JSn3JgrXxlILu0VxoavnaRP4bwSJZcwQuOPuqlnWfpQztNRPpvXMCaTKq8yXg7FckuYWBVkrkjsGQTLpoNDTLGxgafQTlpbSySD9/Y1ZrIT588rw1O3jp1g9SHEGLkbUB7xE4gDv9pYgYxEnAYnIgksQtoms7F4DvasbS0MANTOYg3hvEGufISQUtaWNDm4s/vOmzggXzjLRZ33Bjjw47GhuQQlrYk6lO8yEJWZHQ9XjtZE/W4Tb60BXEjI/hI6zwClF9dyLF/wJD8Hu2Vj9ykRY7KRoDaGgzkRfzImmw0dWkzuZA7TxfOy08WGJgsyEIOTwzaYIJUNpxdc8AxS1JZO1amOhF+XDHjRaTsnBu9oWDrUE+tyU493CrjDBFYkGRpDm5+2tbf/M3fdIPR4ERmBo3HaTfzQsdwRiZcBqwBaKDHyyJeJXnrTL54ZjknbdwD8993PIMS15L8BmRcKF3Pm+n+mm0Gbbxh+l5g8ZaRN3KQE/EhIueQLZnjLaXeeI6FVE0Cykod6pe/nxeR5nDNmrNzynX0XfpGQ9DF2yYeZfEQikdZ2pEXgjmfNmmPvPEeg4m0vuMpFE+7tK+vdWZy7HtLxTU5bpra6iONSajvsZWyJ2mp8ml/rC5mOFaqqEJgKgQWNOGiJQq6gUg9Enp0poVY87LWZm1ssUeyWZHsVK2rTIVAIVAIfMAILEiy3uQKh+blAw3GoxgNhmaCdK0bTnpsS7uGu19/P2rNeRe0wdbplws+YJyq+kKgECgEpkZgogkXkhVmzhtjL2ZizhMzHcsF1izrKAQKgUKgEJiMwESSjRmPFyLWxqxZMtexVuYFR4IlF7iFQCFQCBQCC5DsN7/5zSF7y/5hWSBeSNZkBSv21tlLBd/e/iLZxBedVHw2HmsbNx6zt1V1SiFQCBQC6wGBsXay3jLHRMoLMPaevJr85sXjerbkWAik4WuvtPbKy61d+Jk22DZ5A8T1AHS1sRAoBNYfAguacMUEiVbLZCvR2y0dMO9ix7hYZPOyLlh/N1W1uBAoBP4zAguSrHVXBvvxumFdkL2nsgXGotYFM7KTrU4rBAqBQmA1IrCgCRdvIGuxPHIYits0j/uoddnsHLqYdcHw7bdbe2dva2d8tA02b54ao2yDwSmBoX62wRjd6mHqCipjIVAIFAJzQGAiySI1LpiIlbaacHW8vRAbpwTunDTb5TgS5i5eQVnK4A7b3w9pVBb5eDV5Qce+l3bOt51JGmsJSx6iTjFXy2aE2sudMwFfWFPwerM0wtKCa6kYAuoVF8F1ExIXY269WV5Rl0kBRnDjhZRQfGQxeXkikJdZHFxhai08IRPlJ4tAKgkhKB932uzCuhz4Vx2FQCEwPQJjTbgQDOLh3dUPCI3UEI6Qfb5H45ZOL8bCORPfFJElGDbScfCZH+enbqLISzvBY8QWkEcAGXn42CdmqfB4/c3shPJDkoKc9MP9ITsTjnJ9I0BbOotlgGyRruAoAs2oz2Rg/Zq3HGJG1MhcWlYa6nUuGjlCdg7RM5eT9/bbb+/KU192r/VE0Y+1Oi/cq9xCoBA4cQTGkmysC6zDil+A5GiDCIT2hVREWFp0Tda2urYE32pL8I1TS4tckBZCSlyBBJDOOvFo4a6LAMUyAmkiNZqoKFEmCC/zBFCh0T700EPd+jMNk9UEUkaetEbETqN0ngavDISHLEXgohkjQ5iJy5pA4YjYef9puDBUh7xwc04diQWAkJG/iY2jB1KGv0hbZEbENFwTg35A6HUUAoXAykdgYqjD/nKBAW/pAKlE4/PIumgUrhm9+ELsCJZlQ0gW8SGxSRGXEqibjH5bFkCoQg9qi/x/9Ed/1JEv7X2CMgYAACAASURBVJYGichppwhVaET5kFnsgxOX1nmkev3113cyID9kiSQtQdBClS8dLdYygKULZEmbFq5POvWmPUifeRwiJjOXZvLcdttt7dFHH+3uJPVYJtAWhE4GE0FFnFr5A60kXL8ITCRZ2qMAMQZ8yAWxIlzLBQhhscE9KxMuL9qQGRJLGEKTAOJFROP2cyKzfDQ/cUgtbSBZZBbNnEbpPPJz3jor0o3WiijlydYvlhgSBStbpCBShEm7p3nCRvmJ+KUOyyyWH2irCBvhmhycUz+iVDbtFpEmrCCNG6mqg8ZOOyajMIF5CahP+pG31u+tXC0vBFYeAguacCGKbGuCWJCcAe9xGUmIabBcUbiQE8K0BOA3gkM2yMkj/lI2zUN6iMljfnYyQMTa4DuHsk0sCXloTdp/+QXK8Z0wh67BAvnDRznSJrwfrTUBtsntGkKU1qGchD5UrkkjOwdkk8GEO0xgHukRf8IR9rX7lXeLlUSFwPpGYEGSTdDovPgyyGlYichFyzLAFzqGBw+2dvBAa1tOPqE12eyMmniiCcY9bmfW9d2l1fpCoBBYSQgsuiU4zdGeTR6lPXYL2k3b8vjt7fZymXCtJNBKlkKgECgElorAgiSLYK0ZOmiz1gMFjfHCxWOx7VoWc0ZYqiCVrhAoBAqBtYrAxFCH1l5//vOfH9Nua5pI1pv1xUh2+Pbe1vbuae2jZ52Qx9daBb/aVQgUAmsfgYkk60WTN92jB4J1ni3poiQ7IxOutd8N1cJCoBBYqwhMNOFiqvWTn/zkaLuzCZ+335YSbrjhhiLZtXpXVLsKgUJgZghMJFmkyuTJh/bKjpPpES8pdptL2X5mVvFkux1pDx20H3dr7+1rbfOW1j58WmubNy/JfGtmaFVBhUAhUAgcBwILmnAph7kWTyhaLXLl8cU+8+mnn+4M9BfdEhw5+gwGJ0SGQ/apP36yDX/0d2344gutnXlmG1xxVdvwxe2tnTreGcHLumwJngAxZGf/a12Z/Sk7Vc4MNHOTCZMwdrKcB/xm56ocFhWcBpyTzuGcicjadeIRKJNjgrTqVh8zt7gpw5PdLDvXbNeduAfKZL87uo238yY5eZWvLdnunNzqZi/smjp9lEFO6eK2S5Zsl63MbF8eG2MmetojvclUGWRXPpl9YJM+h0tcjBfy/PPyNPLl3rQUlaA45MgL1lzXJ9k+3De5pdcGcjjIWVHYjmO0V9IPBIFFSdagywBDDAai/wahAbhcAWKOPPVkO/Ltb7XB+Re8T9qtteE//qYNdvxh23DdjjY46aRjAESQiUdATp5YSIm7rHgG2oLUrC2Lz0BTR0ra7KUe8hMgRhppma/x6HLOgUw5ZAgaI5gOMmDSxlsMwUmHiOTnxMGxw2SFMK1lm7RcE6sACSMQsoyLrsWtlldaHEDELkBM8TJTFvLTNwlJyWOPZxiZlE0eEyMskGPkQ2gJvCM/DJ588sku0hd3YFYl3Jrj/GCXYu3wn3kfDzlxLEZtpmGNTB977LEOkwR5R+raQhZEKZ3YEfGkc599/vOf7yY/bUHQbLL9JzN5QvZcoMdNSh/IaKpKC4ExCCxqJ+uGRlYGQML6uemX+zj8l/9Ha2ef24YP/qC1v/9xaxd9rg3u/kob/ubXbeN/+z+0wbZtx4jEtldsgASVufbaazvSQ4oGJuJAQAYvKwptpRkhC0FZaI4GtXOIDxFxM3beYaK5++67O80Y2SAvGrC4BMgY8fqPuMQaQIiILwHP4YnskCUZXWN7HBfefoN+8IMfdHIjKu2yHo6M5LF0g7gEwTFBfOc73+kmiWioCFgb7rvvvq5sbdGn5DMZmECQqXJplSE3y0HymYAQIRLXVm0xSSFjJn0mjIVIVr3IkOkf3JXxi1/8oiNS+V3ztAQXGKvHR9v0izwmSJOccwLywFo7lOF+XIrH33Lfs1VfIQCBRUmWFmJQuKkNUBqVAYx0aWGLRuHa9Xprr7/a2vmfaoOtxxLhUrvh0P/+F23DlV9sR/7tv2mNxcLZ57bBf/+v2vCHj7SN/8uft8EpxxI/0khQG84T2ZtMgBjElihaomQZ5H/3d3/XEZfBS1szmJEs0kE+N998c3cu8RqUcfXVV3eY0FKRM0K95ZZbOrKUF4kgK2TrN8JCFLRE2hliQRDKp/XRVJHRqCcbTU9EMdcQn/LJqkzkS7OlUSI/SzmIMOSDoGiM+lK90eC1Vz1wkIa8yJe8fmdZAIbSqVublW2yIrv0tGUkG5lDeHFj9uQAM5MPLV77TS4mGeUha0Sqv7RNuddcc013zUTgCQPOwUvkMjIjWPdk3IoXi6Ox1Hut0hUCs0ZgogmXivoka4C6wfnpIwu71SKFhY5ZBYg58v//hzbcvbu1/fvb8LGdbXDJpa2dfU5rmza3Dff+yzbYsuUYMQxWA9wEgRQMUvLSKBEjjRRxIkCalcd2xIRMtM0jsWha8iEuxCtdBrPJh0aJOJBdYiIgPPUhCCRkHVuZ8kWTRRAO+UxYNEX1SYt0EFTfmw65s/RAKsgHKapH3WLNbt++/Wj5ZNZOJIp4abhIFhYmGiTIBM9/Wm5iJiA4bUJa6nPNBOOcOvU/IgzZwo8WrQ7ETaN1LfEstMlyjfvF5OOeMaHRnmGDZNWl3YkLARPptAfRy6e/tNVEBEP9akIywcMLpkiaNl5HIbASERhLskgCadCgEuDEuppBY2AYCDt27OgG4bKQ7MsvtSN//f+2AYuCsz7W2ptvtOELz7cN9/xpG9gJd8OGY8TQhqzzRcvSJpoZMkAMSMIApQFKKx2SQGbIF6kY2JYGDGjLADmUhYgSlxY5ZnkB+blmGQBJKBtpIizk5NEXsURG5TovT4jE7xxIKS/anMsLNn0jbwJ4Wy5AOpYVEJG20XgdyAkRKl9dWadNsBx4aHuim/mm1ZukEHleVmUtWbtpsbRSsmWdNBHBkCdChbV2IuoE86GVWyZI4J3OeqS1ri3IFPbaoS79RRZ9YtKCnXKkVZc2a4uJp45CYCUiMNaEy02LUL/1rW91NzQNz2Nk1uzc2FdeeeWi7Rm+sbu13bta+8Qn2+DkrYumn5RgODzShq+/1oaP7Gzt179q7ROfaIPrb2qDcz9+QoFnphaoMhYChUAhsEQEJtrJ0j686EG2NBKPbHkBRGuhodRRCBQChUAhMBmBRU24vBDyOEizvfzyy4/Gb1VkYqYWwIVAIVAIFALjEViUZK3dWV+0JmZ97HjtYoeHD7d25HBrG08au25aHVMIFAKFwFpGYFETLo23bOCz1B0I+oANX3m5tZdebO33LxprZrWWwa22FQKFQCGwJJI9EZhmZcJ1IjJU3kKgECgEPkgEFrSTPVHBimRPFMHKXwgUAqsdgfmS7L53W3v33S5i1mDTpqmxim8/21RmZHF/zYaGUxdcGQuBQqAQmDMCE0245lzvcRWPWBm3J6oUaweEy2g90bFGC0TMnAg4HPA6YqAvH2sJHk8cKqTh3cUJgfG7dWeeSryHeGNxAnA4zxmDcT+D+HhJJSgKH3tG8ozrOST4Td64iXIW8PKQAT/jf3KRRz1sjp3XlgRq0V5ODMrn8MHjjPF9ImFxMLB9ODl4eDH0Z2LHK0vbYqCv3dLy4OJM4OAUwbHCC01lajvTPG606omTBgcD8ilfHu6tZGG6BxuxHqThkJB4BmRm3ufDmw7evAaVzdaazNpqclS38qXh9ky+7NDLi0y52qUefc26RVu4MMNQ2+GsTyp2wXENp0q8zAisCpI12AyqkJDfCUNowI3zW8+W5iEIJGlwKwtxCLqCtJGsAc/rizWFwc27CKEgE4fynfNhN4wQeBghGaT68MMPd+SDRORRZ9xOpVUHW2PRrbjUctUVc0AepI445OGRhRgRfkIqSmNCMFkgOgRENvUja2UiUfEDEDcPKd5d2ioNIpNXPQ7lO6e98sNSPhMBd2MEjYDTHjjDCXnLy8oE2ZtYvBBVFlxE1tJWE4u233TTTd0kpR+4+ZLBRCCf6+RJ6Ez1J2oY+cUqMNFoh8nKb9hKo72wMhloszKKZJeZNaq6JSOwqAnXkkuakHBoYB/Y39q2bW2w8dhwhEst3+BCsAZ7BlS0PQNuHMnSmJAnUktsVVoTEkQIBjMvNuXRiPjyKxO58KtPQJeQLG3Nh2aF9BCsdLQ3xEs+xIYwHcgcASEpJJSwf/zyQzaXXnppV6e6yUKjjPZGa0t8V+e5ttIGQzjqQvBPPPFEp80haPUkNCENX5m+aYqJHhZCVZ66YIc4bYwp3gGskTkcnDfpwEIZyoKBiQ2+CBqB6hcEjUDhqU/+9E//9Kgmi4y1lZxwVwfSRJDkRd4whJc+EzHN+UT7IiOtPlq/+tM+v4tklzqSKt1yIzB/kp3RHl+0IAM5EZcAlQ0dPYqOI1nkZ5AmbJ4BjJiQnkA3BjryolV6zBauMP760iJL9SJm5fdJVv3y0aZoWx6zkZcPsvBNA0uAlWi2iEnZyEb9XJMRHZmUhdgsZyBs+cmOdNSFpBEljZKGigAFjaEtJqCM8lxPvFwyIyaTgvzRWhOHIemQPhk5n9BSE7AbEdL6kVgilyFLmCB3MtOAaa28A2nU6iCbcJH+I0tESHN1XrvIZIJKKEV1mzD0A5nExZDPRKCfTZKeBqKpk5E82qts/xF14iYs90Cq+gqBSQisGhMuAw0BIh8aTAYZzW5SPFFEYEAb3LQ/Gpl8ykFcCViCaBPvVbosGXhkNnCzlpowhIjS4bFdHchSWYjDJIDMkKtryAHZIwdEKZ3vBL1G+jRWZdEWE7dVPmSddeDs8kA+JEpmZKYc+bLbgnXLbBukHSYm1xCRMuO9J3+CcEdTN5GkPbR0RJv4tdktIbErlGsC0hcwciBHsoTIEaC+MQlk1wZyJHANGbRFXQmGQ2bBY0QOg2u0XPVnfdp1OGmnfPBLlLDjdZYpaigE5o3A/En25Rdbe+H51v7g4jY4gWDfSMbgNLiQRrYjMfCQw1IfF/s7PeTxORqyaw5Eg2D8p6n5H+JUbyJ7GfgIxUdaBJRoX86RK5G2/FYm2WMRIQ8ZsuOENmqfdCF7k0rffTl5Ip/6TAaRNWvWcSDpby2T8rOdTrabyZY7kZlM0mTbl/yHjTxpU4Kh57q2yedQpnbB1vVE2Urbgw3ZEXE/PKK2O5c+11Yf5SBR68jSOPxXhz5JJLB5D5oqvxA4XgTma8JlP6ZDh4yGE3KrzSBFJn6HGEaDWx9v4yt9IVAIFALzRmCuJDtv4av8QqAQKARWOgKrwoRrpYNY8hUChUAhMAmBuZLscM9brfmcdfbYLWKqWwqBQqAQWMsIrBoTrrXcCdW2QqAQWLsIFMmu3b6tlhUChcAKQGD+Jlyvvdraq6+09ukL22DbKVM3uW8qFeuCxLddqvnW1JVXxkKgECgEpkRg7iQ7pVzHZIvNJFtJZlzsLNlIspOdFEw8dqHSs6GULk4M7DPZZrK/ZFuqXA4PCW7CccFvRu7KYfOpvvjTy+u/vMpnuykdeZKO8T/7zeRVv/zxIFN3do41USjHOeXEoUBaNqOObInNlpZRfwVGmdXdVeUUAvNFYFWYcHEGQGRIDbkgHwSI1CZ5fPHU4oUUQuSKmjgB3EwdyhNkxH/eSvGQ4jvPXZYPP9dWxMd91Ln777+/87tXr22teV3xTEKucTPlkqsuhCgdzylErw0OBMzLSxt4TilHWu3JNt/qRtBkTPt5knHBveSSSzo32HHuxPO9Xar0QqAQOF4EVgXJIjck1Y9dgKiQ1qTYBdxfkR0feT7+V111VUeWol8pi2utoCoJBeg8kkRqt956a6dNCmaSICjx7b/vvvs6t1lEy/0TGSJz2qUyb7vttk4zVrfJQDphDJEu/3zyIk0xDH7xi190rqUCu5AtEwGX0gRRIQdN10SAVE0eAtqYHMqN9Hhv90pfCCw/AvM14Xr9tdasy37q022wddvUrUM4iC2unHl8FhdgoShctFNan5imfOkRpt+0T8sDAqMIeCIwighUCJdP/Y033thF6kKKfPOlvfPOOzvSFUgGUQqyIi3ZaKOWGJCtYCnIVUg+xEpjFQmMRi0/UhYIxXkBVEwgSFfdZKH5Imh1mkQQrzgGzksT7djkgXyn2Xtt6o6ojIVAIXDcCMyXZGcUhYv2RqOLLz+tz2OzAwmOe2xGXjTY+L4LJpK1T4RK20SmNFAa5eOPP95pyiJhWS5I3FmEKiiJqFLITsAT52ioNGGkST7aKpK94oorunTyI0Zk6JvmLS/yNGEISoOE5SEr+RL9CsHnf4KrJJgM4iej8wK+WGqo6FPHfd9XhkJgWRBYNSZc1ikT9QnZJMLVYjsjJGAJNBEszdD6qcdtGiAtFLEhrqRFWB7laaauy0fTFIUruyIg0QSsTvhE39FcESzytgQhD22bzOpFuDRp+a3VZtkjL9KUob3OI1METFZy+qadZ4nE8gSNuh9EZlnunKqkECgEloTA/En2zTdbe3N3a+d+vA22nLwkocYlSqQrxJM9viwd1B5fU0NaGQuBQmAZEFg1JlzLgEVVUQgUAoXAzBEokp05pFVgIVAIFAK/i8BcTbiGYskKhr1p0wnFk61OKwQKgUJgtSIwX5J9+aXWWBhc9Nk2OOV9z6U6CoFCoBBYTwisChOu9dQh1dZCoBBYWwgUya6t/qzWFAKFwApCYP4mXPvfa+2991o75dQ2OOmkFdT0EqUQKAQKgfkjMHeSnX8TqoZCoBAoBFYuAmXCtXL7piQrBAqBNYDA3El2WMsFa+A2qSYUAoXAiSAwXxOuGQWIOZEGVt5CoBAoBD5IBIpkP0j0q+5CoBBY8wjM14RrRs4IgsKIPiUUoehYk/b1EvFKtC4RsIQBFKFKeEGRrETgOuuss7pIWNIIli26lvJE2BL5yjnBaIROFIfWdbFmBaMRSUtwbaENRfJSnnqUJ87rr371q04u+YUxVK60InIJxyi/nRdGZVdvooEpU4xaEbrEmhUWUVQw8smrDm0UGEc8WnU//fTTXRhI5Yg9K/yivMIvitYldi2ZpIOJsuUVS1d52dJHWrs/iBYGM/Vpg0hh46J8KStts52P0IxCRjrnvzpEEYMB/LUFBvpEXpHIyKV9sNYnzzzzTBelTBu0Gc6ClStPxDXt1TeioDlg+bnPfa7rB+f0Vx/rjF4xeN0/oquNO+AnyLu26ss61icC7sd9hw+21w680z66+ZS27/CB9g/vvtF+/5Qz22mbTm7vHTnUnn1nVztl4+Z23tbT2qYNG7vxJP6z8KXuVePKPdQf5/Ml2Rm51SIIgxFxiJ+KbEcPAIkfa2AiHIR6+eWXdyECRe8So9VOBkIKIjVEYkAiGTFfBQA30BO/VT1IRpBvg94Alg7J/fKXv+xkMHiRBqAF5EZMykPGfotDi2zUL93oVjlkRjg//OEPu3LlufjiizvCUrZQiToPWSE/OCgf0Wifj3aZBNRBTp2MwKRVNwIShxeBaSO5pUc4yDh7n5FNXvipW9luFGQ3SrLkfuKJJ46GiCSfgOPkQojI9otf/GKHvRsQAcJauUjR/+yphuC0WTt37tzZTRQmG/gjZ+3QBu02YSjfZGiiUZ5zDviL8eu6c32yNJkgUBPJuCOTkAlOujrWJwKHjhxuD+76TXtw13Pt6x+/rP1y7ysdEAeHR9rXz/18+/nel9vTe19tuw7ua/d+/PPt3C0f6jjDODJ23Jf45bLLLjsa43nVmHAhV4NS/FREhyRGj2i7CBQ52Z4FuXSz0759nUaKdJGossSQNXgRMg1J8Gy7HiA75HrzzTd3RPTggw92hEMjQ57qltcgRhCIjHwPP/zw0UDdO3bsOEpYiBbBJkZtf4ZL8HFlS2eQRzNGKogD+YTwdCJi0YbsG/aDH/ygmzS00yRyzTXXdGSq47VPfYgL8SaQeLTUhx56qCNB2CG/6667rsMDVuqxo4P2jW5zIz2ZaYcI8+qrrz66qSSSQ4x2okDO8JQ2WCNt5SNiaU0Mt9xyS/dtax9ESSPwNBCtFUGnn2Ag6DrMlSnwOsxMmvodwWovzTfHo48+2smj3ZOOp556qpvcJhHx+qSd9dVqY4gW+x9f/Gn77Ic+1p57Z1e77iOfan+/56X21XMubo/t/qf29uED7e1D+9vNZ/5e+9jmUzouwBv4QH5KDO4JR60akqVdGUAGAaKjIdFyDDIajYOmZ9DTMrO1TLRHA9TOB9u3b+8GPkJFntlt4atf/Wr36OxjsBrgCEuZSEJdvu39hRhspugbsF/5ylc6Uvvxj3/ckaIBb3cEA5qGiihCdvYZQ15I3KFTaG20TJ3lvEkE4ciHrBAMoqNJIwt1IM7bb7+9IxLan3ZrC7JDYrCCi3JNLHAjH60XQSNiSwOPPPJIN/uSHzbyIjhPBGZmRG9WJou6+liTV/naQ2aTiBsL9ggLYTtMHupxaN/dd9/dyaEPfGjACNAEAG+EjMQRr0kV1vqPpn3PPfd0pI6g9ZM2aB881CFNdjBGvjmQOvJeSEs1KdHI0zfri16qtUFg14F32l+/+NN25Yc/3n6x95V2xuZt7a1D+9r1Z3yq/WTPS23vof3tncMH2j3nXto+fvKHu3vW/UUZMhaMAeMou7XM34RrRkG7EYHBqwG0unEkG00XiSI/mptB5eOR3IClrRnA1t8QC8JRZrb/zhoqUgQUgkOuyqR1GsSp28DO2kse7WlX0iB3RIuEsn+XzrAmSRak5ECM5EC06kLcziFFxILwtJc80pGb/FkuQXpILDs20ISRI8LK+rA2yu8cjMisvVnjdR6ZymsSoLWamRG9JwCykIOGmNlZm+AJC+XAWtvI5bc2wlp9JgC4kDVbs2sH7TtPDfByXX3B2lOINngcS59ml4ps7wMzky6NG0nqI/L7tgSRA77KUc+4A+bZ5NJgqWP9IvDe4YPt1+/s7gj01f172+6D+9oZm7a2rRs3tT2H3mv7jxzyNqB97tSPtVNO2tyNS/eOw/h13+GcPLHOn2SX0YQLiSEmg0wD/TbYEAFicmQAIons/WVgy+uQJ0cGNgLNCytkpOyQlP/yOJc65A+x5aVS8ihTXSEr8smnPPL4Tx7X8zKLzK6nLkTmmnTOk69/ZC1SGr8jc7/erIeqmzadA7GRHT5Zh1W/MjIZBSflBWsykEUeZWovzKRRlt/KJbM2ks0nB4LNenbkV2ZejKlnUj/Ji2xTdr9/Ur46o2WMow/X9SMZayuf9Uuw07Tc/R7ucU+7F0fvoTLhmgbZylMIFAKFwBIRmC/JzmhL8CW2pZIVAoVAIbDiEJirCdeKa20JVAgUAoXAMiNQJLvMgFd1hUAhsH4QmLsJV/dSxWcwmOiltX7grpYWAoXAekNg/iT72qutvfpKa5++sA22Heultd4Ar/YWAoXA+kJgTZlwra+uq9YWAoXAakCgSHY19FLJWAgUAqsagfmacO3d09qePa0JNrJ5y9RAWdtl6MsonuEvY98YuE+KyDV1ZZWxECgECoEZIjBXkp2VnLxx4gbLwwfR8uDhT89TahLRyoecpeGRxL2Tn7FYBNxfuZtyceXrzwvKkXPq4P6pbP7sPJ64oMbXX5l853kJcRHl6ZFoWf5zLeWFxF2Vy6n6uXbGI0n9/ifMoXL4//MgSchF+ckndgMXVP/lUy+31zoKgUJg5SOwKky4EAzC5PYZ33bnEJdzCcbQh5v2KwAJP3fBXvik82EXtMVvRIYAkRjijSucsqRXPnJDttIgN2SMDAVpQfb88wVT4a8vn3T84wWpUQeCVw7fepMEouZmimjVLdAJl1Fl5tzPf/7zrk2C1fCFFghGOvUhfbEMxCdAtHUUAoXAykdgriQ7FAvg4IHWtpzcBhs3To2GYCRIDklFa6XJ0iyRzjiSpREKnoIoxTal+UkvAhTNEmHRPPnKJ+QfohWBS3rkmahO6hLfVCAIZSA8mi/NU3nIkP+78hCquhG884hYBCiarUAr8iJR50SrSswC+RGzSUCQCcSt3V/+8pe7OuQzMWiHoCgJMjM1qJWxECgE5o7A/E24Xn6xtReeb+0PLm6DU0+dukEe7xGs4CghWeuztETxP8eRbCLty4MYkaR1XCHxEkX/rrvu6ohRfNKEK5MOyQkNiOiQGfJFijRhxEcrRYrC+ZEhQaQtNVjCoPHSWMktlB8yphGLFCW98Hwi9Qi/qD3KUi4NGjlbenjyySe79tJkBQ6nmUf7JiN5nBsNBD41yJWxECgEZo7A/El2RlG4EBatEPlkTdb6KtKk/Y1bk0Vm8iDRPJYjwYTZo8HSCmmStFZhDj26C+2HxBK9H4khSfXSRBNBCrEjOkRKBvIgdvFkQ8JI0CSQ7XASys95dUtv8tAuWjJZESly9d+SgliyZJaeVi49gqZJI24hCC031FEIFAIrD4FVY8KF2GiR1mURFFJFLAgw65mLwStfyJq2iaCUiTwRZA7kicQSupCW6X92WEjMUjIkHKHrtGXlKDvru5YIlINE1Sed+hLv1e+Qtm/tsTSRcIH9UH/amXiz0gULv8dp8ovhUdcLgUJg/gjMn2TFOj2wvzUbi22cXttCNj6ICskhOATlu0y45n+jVA2FQCEwPQKrwoRr+uZVzkKgECgEPlgEimQ/WPyr9kKgEFjjCMzXhOvdd1pj5H/a6W3w2w0P1zie1bxCoBAoBH4HgfmS7IysC6rPCoFCoBBYjQisGhOu1QhuyVwIFAKFwPxJVixZDgm/d1EbnDJ9PNnOsmB4pNvv3Ja8mwYb26knbWmbBhvKuqDu40KgEFixCMzfhMu2z0cOt7bxpDbYsGFqIN47fKj9/Z6X2pNvPt9e2LennbllW/vCaZ9oXzj9E+2UjeMDxGSbZ/annAyyHTdbU4b87E5ja8suNVtsMwnjPOA77rKcHhKIhqeZwzlls43NttvqYBMrLTtWJmecHkwS6mAD65y8MUGLzawyOTXIO3qQV17lNKko2wAAIABJREFUa4uP8nzUrQ5tUadzynA+cRGyDbf8samV1u+YwLmmPeTSbmVwfMhW3EnPDtihTA4f8pF70iFN5Esa7VF+ZJYmR9+LLdutSyd97JKlTf+VCd/Uw6oyLgMCcyfZWbXhp2+91P7jiz9rF57ykU6D3Xf4QPvl3lfbXWd/tm3/yPntpMGxBI4oeE2FvHhOIYwf/ehHXYAXg5ZzwFVXXdV5e/3zP/9zR0oG+Y033tg5Kjz77LOd9xWS4MmFELm9OsRM4IUloItgLgjLOS6zDnUjCWkQk/K5ziqXZxdvMY4E3HwdCOTqq6/uvLxGD26/6uGNRhaxC3iV8Rh76aWXOo80kcK0j3z+8xwTo4FM5NDG888/vyN4MpAHQWmfD9JC0H4/8cQTXR0C0XARVk8mIbEUTCzKJBd5ya3c/uG6PI8++mjnpmziShruxQLpwJuDyMMPP9xNPg7nYEgObfEdrzltgiu5nSOfSaGOQmAlI7AqTLj+8rmd7SObtrXH33y+/fCNf2qXfvicdsuZn2nP73ur/XcXXtO2bTxW++OKiiwQmQEszgACRRq0L+6wiAkJiZpl8BqwyPemm27qiASByU9TQ8g7d+7sSMGBxP/4j/+4+88tV17lIRTut4gXudIoL7nkkq4+sRCQo/PcYV1zTp2ITGQtBBmPsdw43//+97tgN0iTTNqCjOSJJnzZZZd15PO9732vXXvttUc1VMSMQO+///4uDoP2qtMEQnZ1IzwTAJxor66JueCatiBLpAYTAXRg6BqMTV5f+tKXjtFmE1vigQce6PJIp2xaqwlDIB11Ikqkqy2wzsSgLukQszYgcxOFYDnq9v/KK6+s2A0rmV1Ktg6BuZLs8I1dre3a1donz2uDk7dODflf/OLb7eozzm//+rmH28v797azN5/a/qfP3Nh27v6H9ucXfbnTbkcPBIAMkBbSQAS0RZojgkQwF1xwQRclyyAXrAUJGLw333xzR7w0KZqjY8eOHd0Az+M2cqPB0dTEOYir66233tqRJdIWK1YcBKRKHtqjbwSLTJCMA7mRiTw03FE3WVHCkDatOJHCyEWzSxtp2uRFTNpk2cKBoEwA5KSdRoM3AcXVWL3y0nBNEuRExq7T+pE3kgzJwhFRS69t27dvH9u3iFY9SD7hI2FiokH43I7hpk0mD7K5Jgqab23WRn2nXxCxwD1I3ySgPZNiV0x9s1XGQmDGCKwKE65///yP29uHDrQ3D77XHtn9j+3zHz6nfWrb6d1GuP/FeVe2kzce+8iIwIQS9LhpPdMg9bhMo0Q4CACZIhMBZIQYlBbJ0RSRIXJGhrRI2q10IUCEc8MNN3TEQ8My8BPwW5pnnnmm0zJpaogOYSkzkbmkQSwJQI5UkAaiT2CZ9DVyRy7IW30IVVrEbDJA9iEqpKudlkW0GbkhWfktjTgQnevksraq3eQhrzCMJh3XECC5kKmJQT5LHWSwrqot/tOq4YSIE6zG0oPJR9mWDjLhwImMSNZEgawdyiMDgqeJ+46mTxNOLAmYabd+o4EjXu3T5joKgZWIwKog2X9694321y/8fTtj89Z2+qZtbe+h/e2FfW+2r517afvshz7WNgwGx2Cb7Wo6dX0w6AawgSqSVcIjenRFELQ1A1oa/xEKwqRFIS/pkCWS7LY5/y0p0ACROTKjhUnvGwk451EXcSEyJBRyki+xGJCsMpAP8swOCn7noNEhEnkSoMbShPYgr8SWRWZkdE29/ShliZ+rfFp8dmCg8cJKOxGktublV9qFyE1UzpuEELF6YYSAsxUQXLNGipzhID2Z/c/Lw6effrrT8FN3YlMgbfUgUGQqr/6Klq+uaPrINS8YyQ/TOgqBlYbA/E24dr/e2uuvt3beBW2wdfrlgsPDI+2l9/a2h3f9pv3q7dfbJ7ee1m4888J2/tbTu5deS33DHJKKNhrCzHc6KIFn+uedG5cuUcESF1YZzuXNfQgkMuZa6sr1TAb9/EmToDij8oymHZVv3A3Xb8ek9vRx8Fv947AZxaQfsCftgsNoPcrrWzb02xkcgutoOamjL5M8FYlspdFLyQOBuZNswVwIFAKFwHpGYNWYcK3nTqq2FwKFwOpFYEkk+41vfKNdccUV3Vt6a3PW8ia9TR6FYugx02fjxiU/0q9eOEvyQqAQKASORWBREy4vGLwF9nLDG2BrZAt5+PSrGL72SmuvvNzahZ9pg23Tu9VWxxUChUAhsFoRWJRkNcwbcB9v3pf6kkm+YUXhWq33RcldCBQCM0JgSSZcTIzYMx7vpn1FsjPqpSqmECgEVi0CE0mWXSODdbaLjL7ZKjJO9589JI+bxZYNhm+/3do7e1s746NtMCbwyVJRs0TBFpItKVtQ9pyM9pe6ieJS66l0hUAhUAjMEoEFTbgY1jMa5/XE04iROKJjKM5llCcRA/3lOBBrfPwRaxwNuHTGwH1UjriMWlNmNM+A3pIHI32G9IzdpeEtZQnE5MEgXzt5D7nOScERV1Z1M4h3WKNG9OwzeYQl4Atff79NUtKT2yTFEUEd5FCGWAjq0RZPCv7HRVR7uZwmeAtnBHnJr764/5KDsT4HAsb4+onTQXbANSlKy9XWerpD/0nLIUGZyuMoAUv1aCuZtY98vLPiHKA8Dgrwi8sxudXLQ0ublaeM66+/vrOv5a6ctvEI01YOC+pWvjbxjiNfbGDJE4cKXmOJ/wAP9yUnBn2nvEQzW477sOooBI4XgQVJ1kAyIAwygyThAQX2YGXA2gB5LMeBoBAHgopxe8LjGXDjDNFdR3iJG8DDKNtxIxMBU6wxi0lgwGcwa6vJw8s+7rIO5Sd4iwmGRs3tFIGpQxQpxMrFFAkgIsSA4D0BcBOVh2ur2ABkUp88SF0ZiMVHG8kT0kEk0iI+8ohfIA2iVPaTTz7Zfvazn3X+/YjJxCAtouM1pp/0ZUI0mnD0m3bACFmRR5vFdfBfueolH7IPFvJqt7K4GCPRkDsZ5DOxaBOXZRM04iUDmdQhn+vw4BqMZJE3GYOL2AX6Gw7uQRYtCBme2gsnfSKdso/nPcFy3K9VRyEQBBY04RolWYOFdiPyEXJBUKPh7Y7RJg8ceH9L8K22BN84NfJkoeWpNwPKQEUAGXCjhdPoDFARsBAWojBwneebj2j5xNOEEZf4AAYzouSmKm+fZJ2TnuboPK0K8Rr4ziE+mCSPiQEhITJr2WQQM4HmjGyQEtnUqW6TAHKm5SpPWxMLF3nSlnMu8QKQswAsMHEO4cmLnPSNMrUb2fVJltwmSjIiK3lF8RK/QV5tIDuSRXzwh5cy4WBiM5kgWSRHLm0jo8Ny0r333tu1jSbrIEtcmJWnrUjWBIK8fZPfNZOS/z552YqI9bknDBOh8/Dzu0h26qFVGeeMwIIkaxB5zKTJIgWD12Ojx0DEtpRjVi++DHwDGbFlQNGEEFLiEIzKg/xoa4jCwDSAabKIBTF5vHVNW5Cn2KhIO8FXDHAY0LRohdagEQUcQiS0NpMP7QzxGPDyIVz1IyjanTrISg5apLQIkv0xEkb8JhFkh2RcJ4u2yYOQkLQ2Jy4szQ456yPapzSJjavPyIaEHEhW/Qk8k0kEKUpHu5ZfQB1LFdoLa1gg4wToRppwIIeJKtryHXfc0UQKc04dCFrcWWv6IVF59YF2wRTBqlv7TCJkhq/2ebqQL9qxCQLxwkNb1G/ZhyYL22jDoyEil3KPVppCYN4ITDThchO7yZGFwe+bRoaYEv5vMeFmRbLWD5EE8kGUBhWyRLyTQt0lWArtxyClrWYnA1pqHm0NUu3SPnmkDTnSsJAgkkcccEAKDjhIj4gRLfJHruRCtkgFMYZsTVAw9Y1IyUJ2RIPMkAoyQzjK9R8Zaq/z2qHMkC4NFDkrPzswWMpJsGztoHnKQx7EpC3SanN2c0gfZj06cV1p+NFiE+hGe5SFgKNlwkTbkaSJK0SO8OWz3qos8uu/BKBBuHB1JLgL2U1YmSzUkf6FW2LdZteLhHGEK6xot3UUAisNgSXZyRoMiIRGm1B2S2nIrEgWISHavHxDMAZuYpEu9XERwSAdgznBtw1cg9+1RMYyWBOZSloEj3ARnv8O9SfgTMp1PmvGvpGBT7aNUXeIQPlISxv6L/Nc184QWh/v5MlWLOpA6uqXDgE6J12CsJDJNWkQa0IbZruZRCiL7OqVXznai5zl0VblpE0Jjyi9c9omn0OZWd6JA0swc03dyiN7tutxnXw+JitlJsKX9pIjZA8fh/8mfH0CxwoSs5RRWWmWG4GxJlyJfJQwfG582k+iLhkESzmGM1qTjTwhD3LEfGupBLsUeStNIVAIFAKzRmAsydIiPIJ5FPb4RlsQr4BGi+g8ltZRCBQChUAhsDACE024ECk7SC8zPKrFblFxtEo2snUUAoVAIVAITEmysoVoOSRkHTLrad6KexGx2IuGWXl8VUcWAoVAIbAaEZhowoVgmRjFJAe5eullV1aaLO2W8fti+yrN6sXXagS3ZC4ECoFCYCLJxuvHkgG7RWu0jOj9p9XG04cJzUJHkWzdZIVAIbDeEZhowsUN8oEHHuhMidhCWodl3M/igPG6t/uLmXPNKp5s9oiiYWfvp+wRVdYF6/0WrvYXAisbgYkkyy6R4TuPIvaS11xzzdEgJZ/73OeW1KpZ7YxAc0b2TMliE2rJIraa44i2b7vJnpJtZpwYEodBu9hzxpc+NqOM8P1mOK+cuBGzBWUvHLtXtpmx50T+rDCyg2pkldc5eWJLGhtU3+pWlwkkO9ImAA55tdHhCSLp45RRE8ySbsNKVAh8oAgsGE/WIEc0BjjiibH5YjELZt0ipMikDLl42Yas/Gev23e17dfLkJ3HEGJCpAKeID5BWrjG0sI5GFhb5qlkWUTZSJNbp/Itj6hTWmvSPMXuu+++zgVVXpMNN1GunggSyXIXtZ7N2UF90vHici2BbsivDGmUKY9JTXtc43VFHvVyJY23FlJXnzgDk2I2zBr7Kq8QKARODIElBe0+sSpOPDfSQYBIJtob4kVSCGycpw+XUyQrGAptnJ87AuX+SbNEbiwkkKDr0iZO7R/+4R92mjPyVS+iQ9IsLUTv4lmF5FhZIFTLKM6pk88+l92EJlSHayYsdsfkNQFwJWWDzMWWzz7ZLMsgWeU4z9022q9zCbXovLoXs+44ceSrhEKgEDgRBOa+Jfhw9+utvf56a+dd0AZbt04tK8Kh5dGgQ7J5dF8oChdi4jixc+fObk3ZI71oUTRKBE2DpI2yohAghrZJw7zppps6AkS8NGUa/K233tpprELt0eoFehG/gGwI1TlkK8SfepSXqF5kQJAInkyIXz0CvMgbl1EaasIKImIyIlRkb9nBh3ZMMye3JYjEYJ0a3MpYCBQCc0Ng/iQ7oz2+PLojrtF4srQ/mug4TRZ5MTlLeETmZtIhPiH9kNWNN97YaZYIFSnSlGmT1113XafpIlWaqGhVt912W0e6Qv45x7ICwdNkkXZiuQpugmxp38hQ8BlLDuqTN3EQRP6iLUtLVvWSlQxIn+aMRE0sSDhr0OpLsGr1Hu+WQHO7m6rgQqAQOAaBJW0JfiK4zcqEK1qrx+O8WEI8CLav3fZlpX2OOlF4jEdq0X6Rt/KsvaojL6Ssv3rE9+IP0VmXpvVKr1zrpUhfLFXXkR3ZEGl2RTAhKJecSJksyJGmal1VXciXtqr8RBRLJDDySM/KIwFxaMPqThyJbA20mJXHifRh5S0ECoHpEZg/yb6xq7Vdu1r75HltcPL0ywWJjoWQkI+XTB7ja+uR6Tu/chYChcDyILCkUIfLI0rVUggUAoXA2kOgSHbt9Wm1qBAoBFYQAnM14RoK4nzkcGsbT2qDDRtWULNLlEKgECgElgeB+ZLsq6+09vKLrf3eRW3wW8+l5WlW1VIIFAKFwAePwKox4frgoSoJCoFCoBA4fgSKZI8fs8pRCBQChcCSEZi/Cde777T27rutnXZ6G2zatGTBKmEhUAgUAmsBgbmT7FoAqdpQCBQChcCJIFAmXCeCXuUtBAqBQmARBOZKssP9+1s7sL+1bdvaYONJ1RmFQCFQCKw7BOZrwjWjADHrrleqwYVAIbBmECiSXTNdWQ0pBAqBlYbA/E24OCK88Hxrf3BxG5x66tTtT8BrYQBFx5q07YooW6JWic5lmxhRsoQXFK0qAb7FZ5VGhC3pBeQWBlEdia4l6pV9zOQRBlGkL5GvsuuBkIciZ5FFyEORtYRFdAhmI4yh0IeCdIu4JdqWSFzjIoaJuiUsomhgwiCqR6Qv4Q5F8BJhi3zyikerXoFxROgS8UsYRunJr23y/+xnP+vSkUEoRCEhpSML+cSy1RblqUN+8jknrbaIKiY/LEUaGz1EHhOVzHU4CtUo+LlzQjieffbZ3TkYaB8sndMn5NAHZNEWWAstSR6Bf8inLdnIEy5kgTVZ4J9DXF0yiK5Gjj7WozLDWj3qIAP5RE4jN5m1Gdb6wn2T6Giwlhau7j3lwEq9wmnaQoh84gQLYARr+JBVW5T5zDPPdPn0k35zTtq02X2YUJ59uWEEU21z/8uTPnZe/5GNjDCAqzbBmoziF0unX91DsBafWNqE9pQ3sY71U8aEdhknZHAfwlr4TveHdsCaLPpw9JBXrGUYkUl/kgMOaYuYzOpeiUe3ddbLL7XGU/XMs1ozBvbuae3NN1o762Ot/TbglXvTfeIed2/DpM9P8yfZgwdbO3SotS1bTsitVscgPgMDgbkZRw83ghve1jJIw01/+eWXdzeAGxFpXXnllV1IQTeOQQQQN4MylQ0oN5Mb2TmBuB977LHuhjUI7WDgRjEoEWsGm7qfe+657iZ2g7t5/DbYDAB5dYAbtN8B8qlXfFs3nsFtECATMitTHoPSTY3wlQ8LpJjA3wnm7ZwwjdqhbjewiUAZ/pt4pEUyBiBMEIF2GHDOwQ8mBo/DDg6jJEvuJ554ohuoDnJceumlXdu0ww4SgqQjLWmyjQ9ctc85mGiHvjJ41S+4OvIx0GGNEH/5y192/U2miy66qLum//Sr8hAbeZCEgeymN7Hon1GyMtjFDVaG/iEzjMhCZv3sAw+EipjIB3/E86Mf/ajDUnp9BBsTM3lCWPpQWXBwL7kP3QMCtOf+cE6ZZCY7IsrkMoq1+h9//PGuHod6L7nkkk4u96J7BNbq1XfiDZOR7LB2nyfkp/zOkcN9TQa4wkv55JFXeve/+yh72rn/4J8YyPpJG/WTukexVp6tntyvsBG4HobyO69O/0f7aaUQ7pHnnm3t+X9ube9bbXDZla2d/pE2/PlPWxNZ8KMfbYNLr2j7N2zo7hNHJno7sPTH+aox4dJRNCI3kD25EMU4LUXHRiMSPFvD3cQICxh2HgjpGuiuu6HcuIhA5xukiMkOB8jSjr3IS9lIyE0hb3ZMMChpLQ8//HA3ozl//fXXd2SnTBMEglXWqBZuIMhDszAYlIUolKHNIVn1IzCD2aDQBrIjMdvh0NS10ySyffv2jrgN6tSnTIPFoHQDyGcCITNMkZXBIli538hcPSGh0UEkjXy0JFi4sUxYBn5IliwIA576ro+1SQp5GnDaZsseRP3973+/6wtlG9DRWpMXKSgL6cBNnTfccEOHGYKAF9JFfvL0D1hrv37UPn2C/GDt/iAPGYKZdPI4kAHC/N73vtdhqy/g7B4jj342YSATpJ0nJ2QGb+f1E80ORu5D9zGyh4V2mmj0/6hW6D6Ah3rgnftaH7jvtJkyQT6yuf/hQnZ4mRjcW9pINlgjefL4r5363v2jHnmjbSv7qaee6uR0vxgTsDBhk0cfwX5U6dHGPC0ad2lbJhnjTD/BWptX4nHksYdb0/9nfux9xejUD7XhT37UBpd/oQ2feboNLruivTXY0O20AuvsD2hygkk2Elg1JOvmdFPpWI3IcoDOTcBqNwYSMlgMQDeOgeQGR6QGpoHhhva4g2DcWDr+3nvv7c4hRIPVzeNmjrbghnFD24LGtxvUza/ue+65p7u53ThuSgC76RETDVV92YwRGZElBKBzkJJ65XXDqZsWKR+NSF6DQToyIzVy3Xnnnd1geeSRR7p2O2fgInNtkN83DQJx0eBgo/OvvvrqDh95YYqAnaOdKJ+Ga5LQRnuJhdSDtTaYGMgnDe1IXhMQ4jQwEbYDidCa1Ku/vvrVr3YTAGLyQeQIGa76OBPJLbfc0v02ycEJnn/2Z3/WLRUgSf1FRljrR23R1z7khbV7IgSQCY3MyoCJgZ4A6GR2DomYGEKKJht9rG0PPfRQh5dJXvlIGsYGof6DoT4x8KKlaof+Ix+SRHbS6WtpyEMO55Wp35BPBilMyIvYtIcWC2uDGmbyu68d2mB7JPKYMG6//fbuvz5Fpshdf4bs4euw3ZK+ICOcTAxf+9rXuvsSQbtm3KkbHvpEm8hgknLevRGtVBnuKbIhbvekvoKtAz7uGff2Sj2O/PSp1l55qbVNm9rgrHPacHiktRdfaO2UU7un88EVV7Xhqad2k4n+wTXwcj9mh+m0bb4mXHveas3nrLPbYMuWqfHUkOz+qjEGnBvWDZ2Z301qFjfgNNKjjgGkI2kw0utYBEHTcIO5GRGeMtwUiMO3ckPQyM1N42M2d2PJ64aX182FaAx6eQ1qN5Qb2sAgN3nUS54seQADMfqfnXfVZXDRQEJk2ewxbYgGBwN1IxyDjXwI3g0NL9cMCISgPfKTjyzOZTnDOdghmDx2WgowiMhuQMMF+ecJApHCmqzKUUZ2ffAb9gZe+sSgJo++ILcBn7XCLHFkayCY6MNskJk1QcSjDO036OEGfwSlLktFmTT1jQGtX/RjsIYLAs09od+zNBPiRTDKVq/2p4+RH60M1lknh3d/iQm25FRP+jS7eZjgnCNbsNZnJmf9nc01kZL7NPd1NuVUJ+yUIb/r6o5CoU+y35xr7kN1w0pfKR+xw8u9lXV8YwBWZJHf/2w5r3zyqFN/IFqP+UjSZJZJN/cTYndoozFGpihE0mRpJk8co2Q0NUHMIePwnbfb8B9/09q+fW3wyfPacO/ebtnTEsLggk+3wdlnt30HDh5dn3bvZbfq0Se/+ZLsMppwuXF88nKJBhA1Htk4XHNzGTyA8EEEWbOSJ4cbKI/tbhAkIG02Lsw6qDzOpQ753eQIWXo3nLw+Bqr//RlfPtcMCLLJo+xsn+O8fJEzyxRuYOcRiQ52kCM3rnoMhKx9amOuGbjyqjuPxPKHUOCTtcFsq0OmnBvFOuvEIXZySC+duvyGCVm0KwM8WOuH4Bls0i75yDCpn+RFbMrWFnUH67zsUY/f2qsN8pBBHpjAKvdO+jnr1L7VnT44qp0MBh2+ys0A62PtWuoY7SdluD/ICuuQVbCGQV+TVY5715GXoem/THTkVFb6iSzkCqFGbnXksV3byZ+xkjEhL0ySP3nlQ8D6NPdb7olskRSs9Z++0zby+5/3GMrOmJoDPy5bkdqRcZiXrvAdfTFfJlzL1iVVUSFQCKxHBOZLsq+92pqYsp++sA22nbIe8a02FwKFwDpGYO4mXOsY22p6IVAIFAKtSLZugkKgECgE5ojAqjHh8qYyb5S9NfU21BtZpkYOC9DMaby99xbXIrtFfW9CYwLjDWs8xrwx9+bfSwGL+84zJXKwK/TGW34vJ8Yd3jDLa5HbwrcXL97AezurPDJ6A6xO571QcM7baC8nvLHNyw5WCElnwTyeREyFYuxPPuXJwyxGvdrFHIec3oTHKqJvcRHZYyOqblh5gaEsspNPO70ZtnhPTm+iXZc+5kRZzPc2Ow4D0uWlkRciXmY4RzafWBOQLZYQTMfgAAMv2vQtiwiHtskfZwv15PDyRN1etIxzRpHOW30vW0adPuY4hqroQmBBBOZOssPXX2vNuuynPt0GW3/XA+d4+oYJCZKNCyLyRKrsFg3kuHEyM2LXl7fjBq9BiUjYsBnoSMx5tpsxIDaokZ1BjiSZmjBfQWKjhzfU0inPgGYWg6BjzI18Y+QejyV5nGMCgxARKHJEGjt27OiIBenIq26TBcIwEWi7/8hJOSYWREo+9paIERkjLqZHTHSQTP/IW2KEZiJgYob4pWdgj8yQONnIiBRhrey4UpIt8jD1YhqFYGGLtE168DDBaQ+TKJgieHhpj3ZLpy5lI2Lk6T/i1DZl6TNtUHfIXXoeTXAY58apvd68k1uaTGLHc59V2kJgHgisChMuJBIvI4ORpmkgfutb3+oIFYkwAkZYyBhJODKAfbPNjF2kAfi3f/u3R/3nERRHAyRGk6WRIRv1jA5WA5mNJzJXLsJGeqkDGSESxI1w4kuuDqQunzpibsU4n1zOxw2Vcb68iAURyksmJHnfffd1bVf+3Xff3dUdd0rkyduJqcy4+A4INm6q5M7klckCYcpPU1cXTTMaat+2lR2nCQ3OiJEWnFgKHA3gxphff8SGWB1kih2sPAjRBBUvPH2HiLXPRMq5ghbvIBOb4GuvvXbiOFA2pwtG/ZOIeB6DqMosBBZCYFWQLKKhteaxM55NVHHnDF7nDFgaKi0xj880O55SiNHgRUQ0wO9+97ud9iivc/LymKEh5nHUYDXIo10BMkEzGKYjVISDBKVBECYD/xG/NAkq4rH7jjvu6LQ6nmCue0y/6667ujqRGPm0lbcUeRFGbD3lRYomB+eQ7m233XbUvz+2n7S4xBsYdT9Gsj65HpI1kdDIkRzDfhq4djAa95+mGflMGgmoAwvEluULxMnDKy7F+gQx+sR22KQYxwyTiMlMmSaNOIgkUAuZYttL64edPokN6eiNrVzG/SapItkivpWCwHxNuN58s7U3d7d27sfbYMv7xtTTHIna5BE9GpMBjsDi3WRgG/wJHkITk5amZ2AboDQzj7lIChkgEwcSsTRA6/KYG8N4pJFgIDGSp8mGDGKIjgyQbNZaLQ14lEb0HrEdeUSXhtbqOpJF7n6T0WM2cshaJFlocPIHmJ12AAAZuUlEQVTGiy1xBZA/7T3kiBSRjDKVgcSRaf8gj4+Jh+zIHdFlPdYkAQvyeVyP04A1cGXLGzdlmqZ6EhxFvdqgj6SXlrbsnMkLptql/fHKMzFIQ4NGrPosDhn6zrW+c4K6aMnRbkfvJfcJMk60rmnutcpTCMwagbmS7KyEjTuiR1dkEk+qvreTAZ/HZASCUA3weLMkaIZzrisj3k40yJCT63nURpzxTsmyQepOXSlH2niSIZQE8ECOZENmCMTkEA+zeEYhmHhoIaB4LzmvLHnzgimeZVluoCHHGypupa6FyPp9EE8tsmu7esgdL6doyMqTP+eRoXQILF5z2hWvo3hRyafd8UCTH26Rx++4DsfbKJ5KZEodefGmT0KyytR23+MCBGlnIpllaWJW91+VUwhMi0CZcE2LXOUrBAqBQmAJCMydZIdiyR4+/H4kG8Fv6ygECoFCYB0hMH8TLpHFBYm56LNtIERYHYVAIVAIrCME5k+yyxiFax31WzW1ECgEVhECq8KEaxXhWaIWAoVAIfA7CMyXZPe/19p773XRxAcnnVTQFwKFQCGw7hBYFSZc665XqsGFQCGwZhAokl0zXVkNKQQKgZWGwPxNuGa0XMAAPUFOGMzHyN33OB/9lQZ0yVMIFALrE4H5k+yMrAt4SmWzwH5XZRfYSUSb/aR4GiHk7BmvLF5DvI64b4oTkP29eBgJ8JJNDpXNxZTXE48u7qI8i5Qpr3KVJx8PpexwG2+zBFmRjseUI/sy+c+bjYcSrykuo3HHlY5M6uD+S/bsQ+XcSt7pc30Op2p1IXAsAqvGhIubJZfNkGpIF/EhwEkBQ/jE88cX5IS/OzK07XH85JGVa+IY9AOK2A4cqSXmrDRcPkW7ciRilu22xURAgvILdoKgRaISZAZhIlIh/9Qd11tliDmQLbrl1QY+9yJT+e2bDILAiFfg4NsvFoMIWOIP1FEIFAIrG4H5k+yMnBGQGK2zH8JP3ALERfsbR7IITrASn+uvv74jJwFEEBYiRL7OKTNRuhKRS/QowWcQMwK0RIFAEV9i1SJ90bYef/zxo7uwJtAMDRTB+xbkRH2CsSDJxAGQ1zbWNOr49iN/kwDyJisN++abb+5kSZQvsWUFfkG0dRQChcDKR2C+JlwzcqvNrgYhJLAuRrIe62mZCNh6rgDQjgceeKB75PeYLoasiFlCDyJfRC5UIJIT8xWJizaFZBGbZQKRoGinSPyaa67pyNA5ywdIG+mLf6t8RK4sUbSkpzErg2ZLK0fQ2ZJZOUL0CS9oiYE2nJixwjfKj3QTJBx5a9e4LYhX/m1XEhYC6weBuZLsrGBEatnOxNolYkKA2YpknCaLSBEXMhKXNVu4IGwEhsgsAyBHMUifffbZTqtFiLRE/y1TWGeliSJ42mn2Wqd9ImTxWdVPPulpmsiVjMoTWtE3eRK/1hIHrVcowwQhV5/lC3UgaxMEYpffsoVr4r1K7yMiFVlMArULwKzutCqnEJg9AqvChAuZIExk5oPAnBPmb6lh7bLPlcd2cU2RFMJFnogyB+JGqtZDHepBiNljyjeNlxyuWTaQnjarHL8tCTiQrXIQb3ZMoHnSSB3qdj7bsCBXmq4ykTiZpTdBKJPs0ktHftfFbp20Jj3726VKLAQKgeNFYK4kO5xR0G6PxQglkfiRCvJBiGXCdbxdXukLgUJguRBYNSZcywVI1VMIFAKFwCwRKJKdJZpVViFQCBQCIwjM34RrRluCV88VAoVAIbAaEZg7ya5GUErmQqAQKARmicCqMOGaZYOrrEKgECgElhOBItnlRLvqKgQKgXWHwHxNuF57tbVXX2nt0xe2wbZTpgbXhozDf3iuDR99uA1//WwbfPwTbXD9jW3wmYta27x5rBlXzL58x9SLGRg7U/atTL+YgrGzTSCZmIMxD3NIK38CzLgur8O5bFMtv8N1eWPLm7yRRToypDx5mKWl3gSKGQWKHPIqV1t8UhZ5YiusbOdzPXbFiWKmntQlbf9/7HLlVV8inSlf2qTn3utQJvte+WIXPK6Dpem3N7iqJzglOE+2Ek97tCX9FM+9bOOeCGxlwjf1sKqMy4TAfEl2RlG4jjz3bDvy/32jI9f2kY+2tuetNvz1r9qGf3FPG1x6WRts3HgMXAz6OQMgCcb7PLfEHRAvgOsqRwDODFxcORLwtEIWBu91113XEYi4BwhCOh5XXHmlc3Bv5cnFe0xMA6QhHddYZasbgXLblc5/zg+81zgsnHPOOV08gkcffbQrD3l88Ytf7BwXRg918AjjsqsOcQ94kImFoFxebc7zOHvhhRc65wneZWTUbqTJkUHZ6oQNhwhtMynko3280WCkjAsvvLALitOPPCaWgvzK5BbMGUKb+wF2yI8gpeFtxzOOl1rS8GZTPpzIDIOQpzSXXnrp0VgNZNMGH23QV4jVf9iWt9syMUVVMxUCq8aE6/D/83+JD9jaiy+04f3fa+3KL7XB5y9rbc+etuG//K/b4OStxwCARJAF91nEhjgRKLJCAAhK/AButKJqGcAGNGK4+uqrO5dXpIzQeGEhxZ07d3aeZw6eXPfee2+n0SENJCsNMhajAEEjAu6/As4gP+XJh3RF0eI5Rk6kIdYBF1nkM+rB9d3vfrc9+eSTXR5xEZCxNAgKMTpc4xlGRlHEcigPET300EMdGSJRsnDVJRsMkDQijTYuOlgmC6RGNgQvvUA5iQnhGu858pjI+oe2whSBclNG8Ooir35JEBxEKU6EOuAPv4SQFBgHOZuUYKafuEAjYlgL/APD0manGv+VaRkQmD/J7nmr0zrbWWe3wW8fwadp16H/7c/bhquubkf+8v9s7dWX3y/vf/yf2/DRnW3j//oXY7cbR14GqcGNGBEdrRZZIUaEITYAbc+gf+KJJzpN1oAWXhAJIyIaljIuvvjijgxCgEhBgJinnnqqCy6D4JR75513dhoWkkaoSBoBITGxB2iYCNF5WqLyETQZxSkgk//9Q5Qw5IogTRBf+MIXut+0alp05PMfqbmOfBxIFik9+OCDXdtovGT96U9/2slrAlEn2UxGSFQ52kA2MiIxpBaSpckiSzIrb/v27WO71dMAcpcGqSLeuB8L2KOP4sLsPLmUTfPVXvjv2rWrXX755Z1WrX5avX5E3PCCQ5HsNKOq8iwHAqvGhOvw//3vWtu0pbXf/LoNH7q/tSu+0AZXfam1Xbvahv/qv2mDreM1WVqPAW5w0rh8DGaEYzAjUyRE80RkCdxCQ0JelhVoVTQ7aaXrk+yNN97YaWsICunQXD3q0roQvOUB/xGq60hFfAOEg0j9R5rICGkjjcRFoIHnQOQihSEf2itS9EGKCB7J0VYROLldywRDqzV5mFz8RqwIX2Qv6dStLnI4j7DV55qlBfKS3SRjaQIpkhVhkl865EjT9cnju/JMNAmeg8xNLuRH4n6TC4nCwnXf8sA1GrTrV1xxRddfSF+faDdMaf5kVo5+qqMQWGkIrBqSPfLsM++vyZ53fmtnfKS1vXva8Jmn24Z/8bU2uOzKsWuyiYoF9LzEMfANUo+gtB9rpoiExmTgGuQIEjEiHgOeFmigI5msxyoTKdCmkBBikg4xZJ3RWqXHX+nURWNGCEgGOeSlmeUJZSAtj+1kQNzIK0eCduelFCJWXuLWIm2H9iBaZKdM5EeLVj/ZkXh2clCfNB7h8zJO+SYkB2KlzWoXws6Lt5CqtsqrnKzpIrqsu8IMGZvYlI+QTWIO2qi1cBjn5aI0nh6UZ+IjL0K3vEMW9cIuSwnKh7VrZKsg5iuNXkqeIDBXE67hwYPCWLW2ZUsbWFOd8lCOF12ddcE//Ka1c85tG669vg0+e3FrW05e8uNitMa8DY+VgYHeP1xHOLEkQIjII/+ljeVA3u5HY3MNYeQlmuuxcHA+ZaU+/5OGFhgLhv6LJGSat+vJRz55tSntyf+k7VsPxOogAcKzZ1rKUW4sDOSXPvIk4pfrsYAgc9+KQf5+wJ60SfpYV0R27QnGfdzTD6lf3kQokz5tJYe0aYsyRl+8TXmrVbZCYOYIzJdkX36xtReeb+0PLm6DU0+dWvj3TXuGXlm3dmSIDYzo7rvW46aGtTIWAoXAMiCwKky4lgGHqqIQKAQKgbkgUCQ7F1ir0EKgECgEWpu/Cdf+/a0d2N/atm1tsPGkwrwQKAQKgXWFwNxJdl2hWY0tBAqBQmAEgVVjwlU9VwgUAoXAakRg7iQ73Pcu/9PWPnxaG2zaNDVGMQHqB0qJKVFZF0wNa2UsBAqBZUBgviZcMwoQw+aSYXvsPkO6jOEX2q02rp+cDzgZKIdzAHdQH+XwomKXqXx2nuwyORckGIk+cJ2HkevZxVa9HBlc4wDA6J9xPIP6+PlLw7ifSyoje7+lUQaZOBSwnSULx4G4wpKT4b3ypVd+5CVPgqb4zSmAN5SyGO9zeIi9rDaTIR5p0sOMPLAJprziEtMgDgnyKZOXlzwx/o+LMEcGcsjHaUG7OXToI2XEQSIux9omrzrZ32oPObSVCy1bXIf8nBTUqa/U4xq3WliQQ1naqLxRF+RlGDNVRSFwXAisCpJNIBQDzwDN9t6IwCAftyU2UkNOiMZAveSSSzoDeETHi+i+++7rBvQdd9xxNAoX4kF+gsbIFw8v5fPuQrTOIQaeTAY4EnrggQc6LyXn1Ckd4kOAiIKbrm/xApRDZh5QyAmBKANhIHcEg4jIqa08nHikOYcs/UcyvMaQtXgKPtdee21H7jza4qqKdHmRKT+BZBCq9jkXQlY3bzBxD7QJdgg27eUurC3yaidZtMUhDe8tLsfaTGZycY0VSCaBb+DCa46LMqcC58mWUIlckPUvfMVeUI6JDgGTPS60onppp0M8inixHdddX4kLgWVEYL4mXK+83NpLL7b2+xeNDeKy1HYagIgF8WV5wMBDRAbcOJJFrD4CkRj0NEWDG7nRrhCAgUtbRGzOWY5AYkiIVoZYosk6hyAFTEEEiFJ+5SE2ZdC0RLhKhKxotMiFvOIjCCqDXLiqko3mjKCURbNDuiJ4aatriIfsyInmmAhUceNFsEgf+SHthCaUNoTOPTiaYqJuaS9ShCeSFYQFgcEaASNP5ZGJlgov7eO+Kj0MTHZwccgrboLy1PH1r3+9uy5mAjy0j0wmDJiZUMiHRJE4EtYGdcPIeb/lUaZ+0ifOyQsfuMK9loyWOpIq3QeBwKIkG59zNzkNx2OaQbSUY9h5aB1ubeNJJ+RWOw3Jhiw8ZiJLWl0eUwVbQYz84RGhyFO0uARpCZn2o2QJUoIUnUNqtDoD3cBHkjRgxIscnKdN0gYRPKKiNbqGbJCX+hEbDRc5SUNGJC0/7V0dZEc+/iNK/xEgrRlRI1lkpkwhB5GfkIC0duUjOOnUo+8SsSuTDUxoosoUiUwdJht97FxiB5jQ1COug/uA/MgNfiKPCbqjHnWQRUCdxO6FDTnIbJlAHcpGoImfgHw9bfi/Y8eOrh1iHKiLPEIvigcBK5MD3GmyMCNXgqUv5b6sNIXAciGwJBOuv/qrv+oe35CVQUS7Ept1OY9plgsMZESQGK4eKx3IJtGvEFEelbP2h0CzHkjDUrc80iEGGpcDYcDCoPdYixilUQ5tWB4EKz1i80HivkNQSF4a2iFNlaaoTuSFkLMkgUS0g2zKRyxkDwGSR16TQNqr/QmgokyadCJZaV/it2Y3BeUhLh9kRlPO+qvJw6SlnQjfeaSqfMRuiYFmjNyVRz7aqN/IM+vQyqEVS4/Ytd1/E48D4Zs0kCdcaa0md22htcoHF7JqD3xcMwHkqWQ578uqqxBYDIElkexihSzH9WlffI3KhhQNbB+apiO7HriGFLI7QIKYICYEkx0O/Hcg1QR3kRa5ZauUBITJtjYIy3KHvFnyoJ0hOoRFC9NGBGdpAEHTfJFIf2sXeWiCylIn0qHZIhplmAQQVbbYyUsh16RXfnaKUG62j8lWOuRUb4K/IEcyaoc2JUhLylC+9K7DtB/ghYbrUb7/wk7bs+UPrJFocIUp+UxqtHplmlAQs/aSg0ZM009kM//Voc9MDPUSbDlGY9VxPAjM34Trjd2t7d7V2ic+OXb3gqUKWyZcS0Wq0hUChcBKQmBBkqWV0BpoM7QEj722Nsnj5a233to9Fi50DGdkwrWSQCtZCoFCoBA4HgQmmnB5/LPuZr3LnlcedT2+Zf2QHeRi0eiLZI+nKyptIVAIrEUEJpKsNUZvd60RMgGy/mXtzhtg572B9/Z8QU129+utvf56a+ddMHaLmLUIaLWpECgECoE+AmNNuCwJeIvL9pFlARMlywW0V2ZBSyXZgroQKAQKgfWOwESS9db6/vvv7zRYywKMypnTMD5nXnPzzTf/zj5U6x3Ian8hUAgUAqMILGjCRZtl95jdUJkxMS6nyTIZslzA/GnB5YIjR2x41W0VcyJeOe9vP/P+vlo5Ut6JlFu3RCFQCBQC80RgUTtZFgY0WPaa1mNtI827x+H/OHfWvsDD115pjWvthZ9pg22nTN2W2K+yhySTuhM8pb9Z4O/U/dsNCuVl/5nN+bzAM0mwqfRRDrvP2Iwqj12mb2mz8WE2UrRWnd1v5VW+8mJHSrZs2JgNFYOVepxLEJVsmpgNDLOpYTY5VA4bV4ffSc/io79p4dTAVsZCoBCYKwKL2snG0yhExPCc2VYCgSy2Q+isrAuQq7q9hEM6iJbhOs+lfjyDPlrxttIGHk+M/p176qmnOtfYxCzgLsso3pozY3tEJqCLtJZF1Kde3lm8kwSDUZYPd1zG8zR++dTDIYBHGeN5OEnHBI6cDPPJTiaeX4jdEwLje2ktzcRJgTxxUZWOlUfcdT1NKHOxSW6ud08VXggUAosisCjJIhqEwXsH0fmPbBAVYvBZcLlgRnayvLMScSvLA7x+yITYxpFNAreQF1ly/3T4jbwQpuUOpJigJfGuEtFKfqSIDKXnloucH3rooW6NmicSSwsvCK1fJ8jJDTfc0JUdDzJaJ/JUhvLUqT3KsxTDVZWJXCYD+RCsMuJ2C3d5lYWMubYK0bjYJLfoHVAJCoFCYO4IjDXhQggGMw0PEfALp0nRzlgbcEpgacBmdkGSffvt1t7Z29oZH22DzZunbgz7XERF+wzJIiPaLRKcRLK0RD7y7H2vuuqqjsgEh4kmjOgshbCWEByF1srN88tf/nIXoERsAI/lCJUvvvgC8vvvBaAP2eCEPH3fcsstnTyWViwjKJ/fPbmVB0ckiajVKz95EtDFdwg+UcEQcZYeEC5XUhp4kezUt1RlLASWDYGxJGvtEGF40cVGFilYi6Q9IlwBTlgXLEays2oFMg3Z9TVZRIvcJpEsjRshag9ClA7xIV2TiEhRtHETiYlDWsshlgtoqLRetsDC/N11111dPFdECw9apqUA+CSoChKlMdNEecuRTdAW3+oVYIcWq07nTVry01rVa1nCZEJuZG8d1pKI8k0wrtOaTSy0WksVAveUz/6s7rQqpxCYPQJjTbhoskgVuSBUlgS0KiRLk7UuSTtbLpJFUIjWmiRNLzsHJIbrOAsD8mqDAwnJR34EiMjksdyAvJCja0g40awSQDpBUzyeI0iy0DSlRXAOZJlQkFm7RYgJ8G25xYSAlLUhEbDUkScE6TMhIE+aK21Xu9VFfrIgfyRNflqwvvFirY5CoBBYmQhMjCeLgASPpn0hAnFEPfoitscff7xbE6TRLbhccODA+1uCb7Ul+MapEUD6iaDlG6kgqwR0XqoZF+KKdUL/zT6NsX/EGkB6h+/syOA/knc4F8sA34m+JT1iVJdz0bRTbupzPsFv+hG8nPOJpYK60kZ5o7n6HRmmBrcyFgKFwNwQmGjChSSQmZctovkb1F7sROuL59diks3KumCxeup6IVAIFAIrEYGJJEtDypYj1iu9gad1eaxmQ+qtOqL1iLugJjsj64KVCF7JVAgUAoXAYghMNOHyqGrt0dt5a7J5uZSN/bJ1izXGItnFYK7rhUAhsF4RWNROlkZr/TGR87MOab3WucVeuAxntCa7Xjuo2l0IFAKrH4G5bgm++uGpFhQChUAhcGIIFMmeGH6VuxAoBFYYAl7cc9qx5JnYJkwgWSS5FhPV7F3nfZOX+n1npzQpZcnPWsg7qVj/JKZKXOXV5emeKWbf4mnRLcFXGH4lTiFQCBQCCyKAXLnAZ5NP9uXMTdnAs5pCguzlEbGlT3bznI5YUI069uS9FNNV9uuciJB1tuaSn5EA5yYmpRyFOBb1HaSKZOuGLQQKgTWFgPdIHIcQZIJZxaafIxBrqTgl8QGIkxASHj24tCNsJMvzEsn65ggkSFN2UqbNImhl993dFw11uKaQr8YUAoXAukAA4fHKpGF6tOdZyULKcgDSpG1ykec56T+ytBzgOg00j/rImq+Asmi/PEil5XVJg1Uu8qbhSisfku07CBXJrotbrhpZCKwvBKy1Ik+P9IgTMSJeRIs0aa6+kWPiRVsuQKZIMtH4rLnShi07cHGnvVpSSNhShIxoacVZ+1VO3PahvqgJ1/rqmmptIVAIrAUErMlaBrBGmkD5NFH/kSpCRMDOedxHoq7RVMUZyeN+NNnkdR2B++9QFqKm1SLuxH2mIWdNtkh2LdxR1YZCoBBY0QiUCdeK7p4SrhAoBFY7AkWyq70HS/5CoBBY0QiUCdeK7p4SrhAoBFY7AkWyq70HS/5CoBBYsQiUCdeK7ZoSrBAoBNYCAkWya6EXqw2FQCGwYhEoE64V2zUlWCFQCKwFBH6HZP3pH1/5yld+539dL3zq/vjPCNT4KH7oj4eF+PE/AeY5ztHZZQ99AAAAAElFTkSuQmCC",E="data:image/png;base64,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",T="data:image/png;base64,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",k="data:image/png;base64,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",Q="data:image/png;base64,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",$="data:image/jpeg;base64,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",W="data:image/png;base64,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awx2qzY/wBnmJjd43Z7/wBKd2o3aAyS2TQrMjBlOCKG27jt6dq0G0yZbX7SSMYzjvit5SS0YFCSWSVt0jFj71dsb9rPcAoYN+FZ9OZWXhhiiUE1ysB00pmlaVuCxzxWskemfYtzn58evOaxaKU6d0knYY5VLMFXqavXWnTWsYkcgjvis8HHIqeW5nnAWViwFOSldWEQUpBU4YYNWLSdbecSsNwFTaheLeSBkXAAxzQ5PmtbQChRWnpttbXDMJ2wR0FU7lI452SI5UHihVE5co7ESsyMGXgjkVZuL24ulCyngelPi0+5mi85BxVGkuWT9BFqzlignEkw3KKm1G5guZQ0AwAME+tZ9FN01zcwGjp9lHds3mNgL6da1f7FtP77fpXNAlTkcU7zJP7x/OsqlKbd1IaZ/9Hz+il479aSv950z+VwpMAHIpaKdwIipzSNt7VNTSoNAEWDjNJUhQ9BTOh5oGpWEopT1pTt7UGimM2jtTWUnmpApIzSU1IpO5HwBgimqobrU1NKA1SmMiIwcVHNCJE2t+FT+We3+f1pCWPFaKXYaZzzKyNtbqKbW7IkbRk7ct/OsVF3OEJxmu2nUudkJ3QgZgMA8UsbmNw47VJPEIX2g5pnlSbPMx8tVdNFhLIZX3nipm8jyBj71VaKHECWKIzNtHFNdCjlD2poYqcqcUEknJp2dwAqwGSKSrElw0iBCMYp1v5GD51LmdrsCrUqTSRqVXoaZjc21e54qWaAw4yc5odtmBEpAYFuamuJIpCPLGMVAFJ5ApKdtQLMUCSRly2CKrqpY7V6mkpysUbcvUUrMBXjeM4cUypJJXlOXqaKWJYirDJobaQFWnBmA2g8UsahnCscA0+aNY32qc07q9gsRoxRgw7VJNM0zZPGKYI3K7wOKZRZXuBOhh8shvvVCo3EKO9JRQkBLLEYiMnOajCsRkDpQST1OaelwYlKjmlrYZHUbP2FIGBYb+meamuPI48n8ad9bAV8mpHmkkG1zwKfDbtMCQcYqueOKaV2GpYglSMneuc1C5DMWAxml8uTrg0/yW71a5Yu9wv0HyxRJEJFbJqqgeU7YxUxhAPzc1LGTCcpxSUrLQu6KLROGKkc0CKT0q8zMx3NyamEkYh2Y5odRj5zOEB7mneRxjccVPRRzsqLuVxFHEQw606VhLjcBxUpAPNREg8AUr63KuOha2RTvUZ+lU2CliQMCpSyjioyc1pFdQuTPCqJkNk1X2ilyelFUkNb6IQqvpSbV9BTqKq7OiKYwxoeooVnhyIyVz6UM2OBUVaRTe5umyJoVPOTVuaVZLUW6Lg+tQ00sFq3ra5SmyC3tN84Wc/Kfeo72GOGbbF0xU5Ymm0+Z3ubRfc9A8M6TFqmghJ4w6hm69fwNc7q/hG5hzNpx8xP7h+8P8f512/hFmTRQqHGWbpW08WOhr5B5lVo4ifK9L7H8143i/G5dm2I+ry93nl7r1W/4eqPnplZGKOMEdQabXvGsaZp2rWwini2uOjjgj8e9eY3XhW9tJuf3kX95ev4ivpMDndKsve0Z+vcNeIWCzC1Ob5J9ns/R/puctk9KSrV3AkEuxDkY/KmRW80ylo1yBXsKatc/QowsOmu5p1CSHIFFrJDFLunGVxVUnHWo2bPFHIrWLLF3NFLMWhG1cVPZ2K3MbSF8Y/zzXTeGvhl8RfGeh6l4m8I6Ff6np2jIJL65tbeSWK3U95XRSFHfk9MnoK4gMw6HFc9OvTm5U6c03HR63a669tBuLWrBhgkVJJBPHH5rIQvrUBOBmrk2pzTQfZyAB0J78V1WldWQjOJJpKntjCJ1Nx9zPNWtRa0aUfZAMY5wMCtee0uWwGdU32ify/JLnb6V2dl8PtevYx5YTz9gkNsGBnCHlT5fU564HzY5xg1xt1byWlw9tLwyHBrKliaVRuMWm0Nxa3GwyeTKsuM7TnBq5f34vNoC7Qv51REUhUyBSVHfHFMrVwi3zCNDTorWWUi5OABx2qvdpDHOyQHKjpVeihQfNe4F+DTri4h85MY7ZqiQQcGrMV7cwx+VG2FNVaIqV3cAorZk1C2ay+zqmGxj2rKhRZJVRjgE4zSjN2vJWAjorU1CyhtFVomyT2P86ow28tw+yEZNONRNcwE0V9cwxeTG2BVOpJYZIH8uUYIqOnFLdAbMl7ZtZeSqfPjHTp+NZUSCSRUJxk4zUdFTCmoppDua2oWEVpGrI2SeMH+dZNO+Zupzikw1EE0rSYj/9LhiAetMKelSUV/vAfytcgIIpKnIBppQdqtT7jIuKKcUI5ptWmgCkIB4paKYDCg7VGVIqeimBXpQcHNTFQaaU9KVwIycmjilKEU2mUpsKKKKC1UG7FrNvLTrNGPqK1Keuzad3WrhUcXc0hUs7o5SpvOk8vys8Voz2PmNuh4J6isyWMxOUJzivQhUjI7YyTV0OgdI33OMimSMruWUYFJtYLuI4ptaW1uUWXgVIRJuyT2qFI3kOEGaZUscrxZ2d6VnYCMgg4NJTixLbm5qaeSOTHlrjFO4FelLFupzViKBJIyxbBFVwCTgUk0wJ4rgxIVAzmok2lxv6d6HjeM4cYplCS3QFi48rcPJ6UiW7PEZQelQU4OwG0Hg0WdrIBtKQRwaVGKMGHanyymU5IxTvqBFRU6+T5R3feqNELsFFHMOwolcJsHSkjKq4LjIpZIzG200zBxu7ClZWAklZGb92MCnJEGjLk4xVQv6UgWR+gJoa00C/cXcWO1B1/z6UjxtGcOMVZjt3VgxOCPxqzIEY7n5IpOZLmjLAJ6VIIXPXitON4lQgjmoQNzYqfaEOfYgSPYOp5608IqnIFTSIqfdOaYFJ6VPM2Gr3JZJjIoUjGKSLyxkyVAzBaiLE0KnoaEruM/J0prRsBuNR0pYkYNapW2ASilBxzQTnmqLUBKaWC9aXPGaiCknmg0SsKZDUO8Z9qcykHrUJFXGKYx8rKxytIq7uaaFJqUKBWltLFRjciOO1JUpcAYFRUzZIKa2ccU6mM2OlOO5uiMgjmkpSSTk0lboYUhUGlqIv6UFRT6CEAfWm0UUGyPU/Cf/IHX/eaulrmvCf8AyB1/3m/nXY6da/2hqVvp4O37RKkefTewXP618BmDUas2+7P5C4tV80xH+KX5lBio471A6K3GMV+4dp8BvhBD4ci8OSeH7SWJYlQyMg81jjljJ97dnnOa+Mfiz+xjqulLNrPwtdr+AZb7FIf36j0Rukg9uG+tfluT+KWXYmr7Kd4dm9n8+nz+8+Xo42Ddtj83dV8J2l9mW3/dSHuBwfqK4C7ttU0TMMy4Unhuo/A173eadqGnXr6bqED29xEdrxyqUZT6EHkVRu7JHXyrpQyt2PINfsOBz6cEoy96J+pcM+JONwNqdV+0p9nuvR/o7nhGiaJrninWLfw/4dtJ9QvryQRw29vG0ssrt0VEQFmJ9AK/oJ/ZA/4Ioa74rhs/HP7V0j6LY5WVNBtWH2uVeuLmYEiEHui7n7EqeB+V37M6Xngn9obQfEHhW6lsbqMXDxyQuUeNhERlWHI61/Th8C/2+ZIPJ8NfGxN68ImpwryO37+Mdf8AfXn1B61+E/SR4w4upYKNPhNJJxvNr+Lu17i26bq8v5bH73w94m5FLE06eObgpq8W/h3atLtqt/h7s/Rj4e/DT4f/AAn8I23gP4baPa6Lo9omyO1tYwiYxglu7sf4mYlmPJJNfnN+1n/wST/Zv/aRM/ibwlCvgfxPLuZrzToh9mnc85ntQVQknq6FGOSTuNfpzoniDQvEukxa74fvIb2ymXck8Lh0I+oOPr6V8c/Hb9tfwP8ADbzfD/gUx69rIypKNm2gb/bdfvkf3VP1Ir/M3w3zDi6GdOtw/UqLEt+87vvr7Tm0avvz318z9s4mz/KcBgvrGYTiqfTrf/Clq/l+R/I9+1l+wL+0H+yBqit8RLBLzRLiXyrTWLJvMtZjgkKRw8T4BOx1HQ7SwGa+JyCDg9RX66f8FGfix46+I+k6R4j8aXz307XrhFY4jiUxn5Y0HyqOO3XvX5W+GPD2peNvFNj4Y0to1utTuEgjaVxHGGkYAF3PCqM5JPQV/td4b5rmlbJadfPZQdZJ8zgmo6erfzei7JI/I8m4jw2ZYf67houNNt25mr2Ttd9vx9TnQCxCqMk1+uH7GP8AwSs+Ovx9a18Y+IIf+EX0OX5l1C+i3Mq/3oLdtpmk9CxWNDySzAqP2L/YW/4JL/Ar4NabYfE74nT2Xj3xG6rLC6gS6ZbN1/co2fOcH/lo4GOyL3/ZtVVFCIAFUYAHAAHYV/Enjd9NZU5TyzhON2rp1ZLT/tyL39Zaf3Wj9NyfhlTiq1d6PZL/AD/yP5Vv2pv+CI/xi+H6TeOP2b9Zk8ZQLmSWwucQakD1Jjbd5c5PJxlG9AxNfi74ifW9F1a58KfFfSriDUrRzFKZ0a3vYXXgiQOAXxjo4z/tCv8ARMr5f/aS/ZE/Z0/ac8PT23xo0G2nmjiITVUCwXtuoGdy3IAbavXa5KeoxmviPCz6bOPwzhhOKaXtobKpBKNReqVlL5cr73OzMeF4NOdB28nsfwkSaVKdOefw441G3RctsG2WMf8ATSLkj/eXcvv2rgABuAfjnmvrf9sX4G+BP2ZfjfN4G+E3i1/E1jFGs8d2IjDJDuJAjMinZKQB/rI8KfQdK+dxr2l6wgh8T2/7ztd24Cy/8DXhZPxw3+1X+mOQ5tDGYSnjsNeVOolJXTjKz7xkk/wXoz4G8ZfC0/NNNfJoxr+HT0hU2x+b2Oc1nW1vJdS+VH1681v3/he7gga/0yRL+0UZMsGTsH/TRD8yf8CGPc1zsUskD+ZEcGvaozUoe47ktWJbq1ktJPLk7jIIquATwKklmlnbfKcmrmn3kVoW8xd2e9a3ko3erEZ1FTTyCaZpVG0Mc4rTt7G1ksvOd8Ngnr0olUUVdgY2SetWba6ltH3xd+oNV8ZOBVqayuYIxLIuAaqXLswsR3FxJcyebL1q9pstlGGFyBk9CRmsqnquetTOC5bBcfOY2mYwjCk8CtGDSjLbfaN/JGQKzwMCuv8AA3gzxb8RfE1p4J8FWr3uoXzFYoUOOgJZmJ4CqASSegrmxeJhRpOpOSjGKu29klu23sNK7sjkQMcUV9I/Gb9k/wCNHwG0iDxF46soW0+dxH9otJfOjjdvurJlVKk9jggnjOevzj5jf5//AFVw5PneEzGgsVgaqqQfWLTX4FTpyi7SR//T4eindDmkJyc1/vAfyghKKcdu3jrSYzSuaKQlJgdKWimUncj8vn/P+NMYYOKnoqlJoZAQR1pKnYZGKaFwDnmqVTuBFRSgZOKGGDirumAlBGeKXB60lADCg7U0xnt/n9alooAr4I60VYpCoPWmBBVC5sxLmSPhv51p+WMe/wDn3pBGxOBVQqNO6LhNp3Rzkk0mzyHGMU2Dyt/77pW5PbRy8OMH1rFmtpYeWGR613UqsZKy0O+nWUtCKTbvOzp2qWW3MShic5qvSlieCa2szYUKzfdGabU8U7RAgDOajBBfL9Cead2AylUlTuHUVNceVu/dUR27SJuBApcytdgMkleU5ftU0ckSwlWGWqrSkEcGhxWwDo13uFPenSxiNtoOaiop2dxjxG5XeBxTKkErhPLHSliXLgsMild9REVKCQcirbxIz5XgVOLVFi8zvUuqrakuRnfvJDkAn3q0gfyvLf8ASpQCxwOTQQVODUylfQn2jGRQQK43Dip5hErfu+lRUhAPBqHvchseEZkLrVWp+Qu3PFRjCn1pgMopzNuNKApGTQVEZTgxAwKaBnihvkGTQkajSozuakkZDjYKYzFqbW0UA5VzzTaKKoaVwopCcdaYGycGg2SsKz9hURbbzSv1+Wo2jbbkmqihjGct1qRDxyKQJjk0+tbGkYdxCQtRs+eBTyuaiIxTNBKKKKDSAxi3bpUZB6mpiQBmoSc1rA0EoooqwAjPFMKgc0pYAVEWLdaDSCYn0ooooND1Pwn/AMgdf95q7/wyAfEunf8AX1D/AOjFrgPCf/IHX/eavUPBOk6lqviexXToWlMdxCz7RwAHHJNfnOdVIxdWUnZan8h8Wf8AI1r/AON/mf0NfD7T7PVfF2nadqEYlhmfa6noRtNeu+MvgVd27PfeEH86Pr9nkPzj2Vuh/HmvLvhf/wAj3pP/AF0H/oJr73r/ADN4vzzEYLGwlRlpbVdHqzz+H8so4nDyVVdd+uyPyB+KfwP8F/EhXs/GNiYL+LKrcoPLuIz7kj5h/ssCPp1r8yfi9+zB8QvhwX1WyX+2dKXJ+0W6nfGv/TSPGR7kZHuK/qH8UeCPDni+Dy9YgBkAwsqfLIv4jqPY8V8q+M/hF4h8L77yyBvrMc70HzqP9tf6jj6V+mcAeNdTDtUr6fyy2/7dfT+tGc2MybEYX3oe9E/nR+CM6x/GPR1xyY7nn/tma/RnzxXqupfswfDjxN4oTx9osH9k6zaF8PbjEMvmqVbzIuAD7rg/WvNvFfhTxH4OuPK1mEqjfclX5o2+jf0ODX9Hw4xwWayh7F8skrOL3vdvTv8A1oevmOX1a2Cw2KjF8nK1fz55/wCZv6L4/wDGXh7SLzw/oWqXVnZX423EEMrLHIP9pQcfX24rmFlHaucW8zjBqzFcFyAvNbU8DTpylOEUnLVu2/r3PAqqrOMYzbaWiu9vTsfJn7adrdaj4U0KysY2llkv2VVUZJJjPAr5L+E0un+GviboOl6eyXN9JfRJPcLhkjUsAY4j3J6M/wCC8cn63/bE1O/tPBOmxabJsaW5dHYfe2mM5APUZ746jjoefh/4KNDD8U9DFwvzfbYdufXcK/ZeGablkz5tkpad99z+leAPd4ZlHraf6n9D3wi+P/xG+C2oed4Suy9m7bprGbLW8nr8v8Lf7S4PrkcV+wPwR/ay+Gnxl8vSVk/snWiObK5IG8458l+j/ThvavwHM4BxUkVw8cizREq6kMGBwQRyCCOhr+PfETwWyjiGLq1I+zrdJx3/AO3ltL8+zPy/gLxazXIWqUHz0f5Jbf8Abr+z+XdH9Fvxg+P3w5+CmnfaPFl1vvJATDZQYeeT325G1f8AaYgema/Hj43ftU/ET4zTyadPIdM0UsdljAxAYdjM/WQ+33R2HevmjUNX1LWb19R1a4ku7iU5eWZzI7duWbJP4mqwkPFeZ4ceBOVZDy4iqva1/wCZrRf4Vrb11fmtjt8Q/GjM87vh6f7qj/Knq/8AE9L+isvJ7n5VftnHPxiXHT7BB/N6+ZbK2sZbZnnbDD3xivpj9ss5+MC/9eEH/oT18pRxySyLFEpZmIAAGSSegAr+/uHI3y6jZ291H7hwL/yJ8N/hRasdQvtLuhd6bM8Mi9GQkGuzmfSdWt/O8QQi0uD/AMvNso2k+skXA+rJj/dNfpz+zD/wRt/aQ+PnhWXxt40mi8CafNAZNPXUYne5uXIyhMClWiib++53dCqMOa+QP2mv2Nv2k/2VNSOmfF7RJI9PdtsGp2v7+xnHbbMowD/sOFcd1r5LL/FLhrMc0llOCxsJYiG6UtfSL2lbqk3bqkfdzy/EQp+0lF8p8y6p4b1DTYBfRlbq0Y4W4gO6P6NxlD7MAa5+tbRtav8AQ7wXdjIU7OowVdf7rKcqw9iCK6+/1Lwl4lVY54xpd1/z3jUtAxP99B8yfVMj/Zr7916tNpTjdd1+q/y+44rJ7HnYBYhVGSegp8kcsLbJVKn0IxX6r/8ABJ7SfhB4Z/bG0q8+PqWf2SS0mGi3F2UezOokr5Lb2/d7tu8Ju6OV6HFfef8AwXn1r9nvU9I8IR+HJdPuPHgunaeSzKNONO8thi4ZOxk2+WG54bbgZr8izXxj+rcX4fhWGElNVY83tU/dW/S2qVrSd1ZvZno08tvh5V3LbofzZAkHIq7PqFxcxiGQjH86hitZ5lLxKSBTQu361+0ScbnljrfYsytMMqDyK0b+W0k2/Zhz3OMVnUVlJXdwLlna/a5CucYGa+mv2TPjBoPwA+N9r4v8VRNNp0tvLaTvGu54lm2kSKvfaVGQOdpOMng/LasyHchIPtR8znceT6mvIz3JKOY4SrgcVrTqRcXbR2fZl05uMlJH7Jfto/tifB74i/B65+G/wyum1q71R4jJKIJY4reONxISTKiEucYUAHHUnjB/G37BP/df/P4VpWl49rGYwoPf0/xqz/a039xf8/hXzHAfh/g+HMD/AGfgE3Hmcm5NNtuy6JLZJaI0xGIlVlzSP//U5AgjrTCoNWiM8VGY/T/P61/uymfyhoVihHSm8irBBHWmkA9atTCxBRUpT0phUirUkw1Q2iiimUpsKKKKClMTANIUB5p1FBSYwg4xTQAOGFS0U7sZB3pWXbUpUGmeX6f5/Wr5wGYJGaSn/MBtpo4PNNTASlBI5FK2CeKCuBmquA08nJoYKy7SKME9KKBplB9Mgckqdv8AKsWa2lhba447GupoIB610QxElubwxDWjOTkieLG/vUddJcWcdxznB9ulUjZSRRlQof6f/XrpjiE1qdcK8X1MilDMBgHg1L5MgcI4K59RU0lm6sAOnvWrmjS+lyqjFGDDtTpJDK2SKuJZcbm5FSrGi/dFQ6sb3E6hWjhVounzUsdmWOGNW6YzkH5ayVST2IdRiNbxwnBGabgnnFISWOW5qYTkReXinqSQUuTjFKoBPNI2M8U7iFRyjbhQ7s7bmo2kDNNostwCkyM4p/lSsPlB/KgWdwei/nSc0t2D03IHzmm7TjNXRYTnkkVILM4wW/Sl7SPcnnj3M2gnHNai2UQPzEn/AD9KkNnbZyBmp9tG9ivrEEYRc5+Wgl36810AghXlVFSbV9Kr60uiB4hdjn0jlwQFNKLWc9sV0FJgVH1p9hPEPsYn2GYdxTvsLf3hWsVJ6DFNyVp+2kw+syM77Ch6ml/s+HuTV6nEgjgVMqzQKrN9Sj9ht/Q/nS/YoOmDVuio9vLuWpyXUq/Yrf0o+xW/pVqiq9u+4/aS7lI2EB7Uw2Nr02mtCiq9s+4/ay7mUdPhJ4zUTaYD91jW1RVqtNdS1iJrqc2+lyj7rA1WexuU/hz9K6zAxijAA6VssZNbmkcZNbnFMjocOCPrTCD2Ndm6CThgPxqlLptvJk42n1Fbwxy6o6IY5faRy+ziprSwvL+6jsbCJp5pW2pHGpZmJ7ADJNaM2lTL/qWDV2fwo8bR/DPx7aeKtQtTcRQ7ldOjBXGCyE8bh2p4rFSVGU6C5pJOy2u+x6GHqxm9zh9b8P654bvf7O1+0ls58BtkyFDg9CAeo96yK+hP2g/i/o/xa1uyuNDtXgt7KJkDzACRyxycgEgAdhn1r57rLKMTXrYaFTEw5JvddjpqxSk1F3Rs6Xrl7pZ2RndH1KHp+HpX1B8Efibo2na3Fp9ypBuriHAGNwbcBj3FfI1dR4I/5HTSP+v23/8ARi153EWQYfGYacKitddD4TiPgTBY9uqlyVO66+q6/n5n9UXwv58d6Sf+mo/9BNfe1fIfwu8Mx6p8Q9GhsyIpJJQBn7udhr7H8SaXqvhuCdr6Io0cbupPKttBIwe9f5IeIU4vG06d9XH9WfkeA4Ox2XUJzrRvC/xLVbL7vmVKK5W08QT20EX/AAkcYtzIqkTJzCxYdMnlD7Nx6E11IIIDKcg9DXw9bDypv3v+AEKilsVbL4FeGfiBb393an+z79dhWWMfIxO776d/qMH69K+ZPiH8JfE/gzfY+LLES2cpKiUDzIZB9exPo2DX6GfCX7l99Y//AGavWbyys9Rtnsr+JJ4ZBtdHAZWB7EHg1rl3iJjMuxLpy9+Cto91otn/AMOvQ/pngvhDDYzIqM17snza9H70t0fzieOf2f47jfqPgeQQv1NrIfkP+438P0PHvXzLqtvqfh29bSNTgktpk+8HGCfceq+461/RD8Rf2XdNvhJqnw/k+yzHLG1kOYm9kbqv45H0r4L+Inwwind/DXxA0wpKmcCQYdf9qNx/MEg+9f1hwH41UcXFQnLnS6PSa/z/AK1Py7i7wqdKTlCPK/L4X/l/Wh+Cv7Ws/neEtKH/AE9t/wCgGvkr4U7R8S9CZh0vYj/48K/Uz9r79lDx3eeGbe++G0Mmt21nOZpLdcfaVTaQSq8eZj/Z+b2NfmF4GWOz+IujwtGYporyMMrKVKkN0IPOa/tTgrPMJjMpf1WfNpK/db7rdHdw3l9TDZNPD1FZpT/U/W03aetOju1PeuKGo7jtzU41DBwTX57LDM/nCWAZ28dwM4zV1LkHBriob4N0rUhu+BmuedCxx1cLbc/OD9rnyJfjKn2k4T7BD/N6/Z3/AIJSeGv2N/APhzS/H/jvSAvjK+3tBq2okXFtF+8ZFWBdu23bA5dgSf74HA/FD9rt9/xZU/8ATjD/AOhPX33+zef+LH+Hhn/lg/8A6NevoPE7h3+1OFaeAlWnTjOybhLlez0fdPqndM/oepxhisiyPA4zCJN+6mpK6a5X81tuj+veGeK6iW5gcSJIAyupBDA8ggjgg+teR/GX4m/Cn4feGJofinLby2t5GV+wyoJ2uV7qISDuB6ZI2j1r8Tvhl+0x8XPhNp02i+FtS8yzlQqkF0vmpCx/jiBOVI9PunuDXkHiPxT4h8YaxLr/AIovZr+8nOXlmbcx9hnoB2AAA7AV/n9kP0V8RDMW8diV7GLunG6nL79I+t35eX0Oc/SbovAx+o4d+2e/N8Mfud5fcvM/Kb9vS1+F0H7Ql/N8H/DcXhXRriGOZLKF3Zd7liz4ZmWPd/cjARegHevjCvsT9sC+gh+KzwuhYtZQfToa+PAMnFf6u8GUfZZXQpJtqMUrybk3p1bbbfm2fR8M5jWxeX0cViHec4pvRLV+S0NjSNf1TRHY2EmEk4eNgGjcejIcgj61tiPwz4gBeMjSrv8AusWa3c+zHLxn2O5fcdKxLvToLeASo5J/n9KoRxs7BIxkntXsTpwn78NH3X69z31Lob93aaz4dIt76HYrjcjcMjD1VhlWH0Jrn2YsxY9TzXQ2GuavoamyYLLbvy1vMN8Te+Ox91IPvWnfaRpF7oD+JLAPZbXEfkynckjHr5LfeO3qQw4/vdAcVWcH+8W/Vf5b/mFr7HPqdO+x/MP3mPxzWYqlmCjqabUwTHPeuuMbElu4097ZBI7Ag8cVWA7CpHllkAEjEgdM0+3m8iYSkZxSV0tQISGU4YYPvSVbu7kXLhgMYFVKqLbWonKx/9Xl6KKK/wB2D+TwphQGn0UAQlCKbVikIB60DuVyoPWmlPStvTtC1fWC66RaTXRjxuEMbSbc9M7QcZrT/wCEF8af9Ai9/wDAeT/CspYunF2lJJ+ppGEnqkcfsJ/z/wDqpldifA3jUf8AMIvf/AeT/wCJrmZraW2laC4Ro5I2KsrAggg4IIPQg1pSxUJ/C0/Rkyg1uipRUrLnmnxwNK6xJyzEAfU1tzomxXor9KNe/wCCTf7Z3hvQ73xFquj2CWthBJczMt/AxEcSl2IAbJOAeK/NevB4f4tyvNYyllmIhVUbX5ZKVr7XsduLwOIw9lXg437qwUUUV9CcqqBRiiigrnQ0oDTSnpUuCelekeFvgz8X/HFqt94K8K6xrED52yWVjcXCHHXDRowNc+JxlKhHnrTUV3bsvxNadOU3aKueYgMtNOc816L4o+FXxN8DwfafGvh3U9Hjzt3XtnNbrn0zIqjNcN5Y/wA//rp4fG0qseelJSXdO/5Ezi4u0kVW24AXrSrEzDPSrWxaNuOhrf22ljP2hV8s5wf8/rTvLA61PsAORQyk0e1JctCHAxio2ghbqoqyFAXmuo8B+Cte+I/jbSPh94XRZNT1u8gsbVHYIrTXDiOMFjwoLMMk8CsquJhShKrN2S1b7JbscFJtKO7OMNtHt2jIFRLZRhsknH+fav0M+KX/AATL/ax+DvgDVPiZ430qyh0nR4fPuZI72GRlTIXIRTk8kcCvz/weteVkHFWAzSlKtlteNWKdm4tSSe9tL6nbicNiMPJRrxcX5lCSwV2yrYH0pn9mr/fP5f8A160qK99V5LS5j7d9zOGnIOpJpTYQj1rQoodab6h7SXczhZw56GnC2gHRav0YqXUl3FzvuVBHGowFH5U4ADpxVgqOtRsOOBUtsV2MooopCCjAooouMaQo7Uwg9AKloq1NgV/aipfLH+f/ANdJ5f8An/Jq+dFadxhx2pKcwUdKbTRogpmwf5//AF0+iqTsMZ5Y/wA//rppAHTmpaKGylKxAQQeaSpiueppPLH+f/10jRTRFRUvlj/P/wCuvSPhH8MNW+MHj+x8AaLMltNebyZZclUSNSztgYJwBwOM1y47HUsNRniK8uWEU232S1bNKUXOShHdnmVFew/HD4Oaz8D/AB1J4K1e5jvCI1mjnjBUOj9MqSSpHQjNePVGW5jRxdCGKw0uaEldPumVVpShJwmrNBRRRXcpWMwoor2C4+A/xRt/hda/GIaY8ug3TOomj+ZkVG273UcqhbIDdMg5xxnmxOY0aHKq01Hmdld2u+y8yoxb2PH6KKK6+dkhgUx40kXbIAw9666z0fTbG1TUfEzyIk4/cwxY81gf4yG4VPTPLduOahu/Dkhtm1HRZRe2y8sUGJIx/wBNI+o+oyvvXMsdG9r/AD6feXyPoef3OjRvlrc7T6HpWDPbTW7bZVI/lXc010SRdkgyD616tLHyj8Wp1UcdKOj1OBrqPA//ACOmkf8AX7b/APoxarXmj4HmWnPqp/pVrwSCvjbSFYYIvrf/ANGLXZWrRnRk49merTrRmrxP7Bvgf/yVHQf+uw/9ANfpz4rtra78NX8N1GsifZ5eGGR9w1+Y3wP/AOSo6D/12H/oBr9P/EihvDt+p6G3l9v4D6V/ix4ru2aUP8K/9KZ9lwPTjLA1YyV02/yR5FffDESaPBcaIQ4aFN0MnOQVGQCf5GvErzw5qeg3DJpObZl+9azA+Uf93un1XI9jX0/pR8T+H9Mt3+bVrLyUIHyrcp8o47JIP++W+tbBXwv44smI2zbCVbgrLE3cMDhlI9CPwr42lmtag25e9C+61+9f5peTPkuJfCTCYte0wD9nU/lez9O3yuvJHlnwc8Q2ck95p1+DZ3bmMLFLgF8bvuN91/8AgJ/AV9AV59o3gGwsI7yw1EJeW1wUKh15BXP5EZ4I/SrYtPEnh1s6c7anZD/ljK3+kIPRJDw49nIP+0a8nMPY4iq50XZvo9np0fT0f3n3XAmX4nAZVSw2Kj70ea//AIE+2/y+47aua8UeD/DXjKwOm+JLSO6jwdpYfMpPdW6qfpVvSNf0zW1YWbkSx8SQuNksZ9HQ8j69D2JFbVeZGVXD1Lq8ZL5NH2Uowqws7NM/P74j/sy6/oJk1TwQzajaDnyD/r0Ht2cfTn2PWvza+Lv7L/ww+KWqprWu6f8A2dr1pKsgvrdBHOXQ/dmGMSD13DPoRX9E1eWfEH4P+DfiJCZNTh8i8A+W6hAEg/3uzD2P4EV+18EeNWNy+rF15NNfbjo/mtmu/wCTPgM64EhUTlhHa/Tp8ux/LF8SPhH46+G0rXd3EbzT+SLuAFlA/wBsdUP14968kg1ncwO7Nf0C/EX4G+MfAQknuIRf6cc5uIQWUL6SLjK/y96/O/4n/sseGfFQk1bwMyaPqB+Yx4P2aQ+6jlD7rx7V/afBnjDg8dTj9aas/tx2+a3X9aI/nnO+A50JuMY2fZ/o+p8UWergAc10dpqG7HPWuA8W+EfGfw51P+y/F9m9s3OyTrHIB3R+h/mO4FN0/VQcYNfsXsqdWCq0mnF7Nao/OcwylwbUkfKP7UMdrc/EASvgv9kix+bV9x/s8FY/gvoCDoIX/wDRr18CftEzCf4grIP+fWL+bV91fAS4Efwe0MekT/8Aox6+h4iptZTQj5r8mfT8cUn/AKu4SHmv/SZHu5lFJ5q+v61i/a1PU0Jdrmvzz2TPxR4Y/Mb9sU7vi9kf8+UH/s1fK4Q9TX1r+1ikNx8VN7Ln/RIefzr5xg0eCeMyFiPpX9B8PYmMMvpJ9kf2PwVUSynDp/yo5ypYJngkEsfUVcewwxUN0NdTpnhdLOxXxF4iUi0JIiiBw87DsO4QH7zfgOenq1sTCMfef/BPq4zT6lay0+Ke3Gv+IyY7JSRGi8POw6qmewP3n6L7nAqrca02s3nnagFSNF2wxKMRxr/dUdh6+p5PNVdWu9R1i7N1d7RgBURBhEUdFVewH/1zzzWcIJf7v+fzrOlRv703r+X9dWU6kdkx0/lecxg4XtVi3sZLiPzAQPSq3kyj+H/P61JH9qQFY8gHtXTLayYuZFcgg4PajawG7HFS/Z5jxtNajzSyW3keXgkYznilOpa1iHURi0VdispHcK5ABPJrT/si2/560SrxWjMuZdz/1uXooor/AHYP5PCiiigAooooA/fb/ghR/wAjF8Sv+vbS/wD0O6r9pfjt+1X8BP2aH0uP4269/Yh1oTGzH2W6ufNFvs83/j2hl27fMT72M54zg4/Fr/ghR/yMXxK/69tL/wDQ7qvcP+Cw/wAAPjP8cLv4ev8ACTw3e6+NMTVRdG0Tf5XnG08vdyMbtjY+hr/OPxK4cy7NvFKpl+a1fZ0ZKPNJOMbWoJrWSaV2ktV1tuftWR42th8hjWw8eaSvZWb+1bpqfWn/AA9Q/YM/6Hwf+CzVP/kSv5Ofjp4j0Xxj8bfGPi7w5N9p07Vdc1C8tZdrJ5kM9zJJG+1wrLuVgcMAR3ANezP+wR+2TGpd/h1rIAGSfJ7fnXzL4U8LeIPHHibT/B3hS1e+1PVLiO1tbeMZaSWVgqKO3JPU8DqeK/qLwj8NOGuHqmIxWS4t1bpKd5wkopXafuxjbrv2PhOI88x2NUKeJp8uumjV/vOewD1q3YKpvoP+ui/zFf1Rfs3f8Eh/2ffh14Wtb7442v8AwmHiORA9xvlljsYHI5SGONozIF6b5c7uoVOg0fi1/wAE3f2LPjboN/pPwSXTtB8VaepeKbS7vzUjlXlUurcSSKI2OAxCq4zkHsfnav0reGvrjwsI1JU07OoorkXS+/Ny+dr9kdkfD/HezU20n2vr+Vr/ADP0a+Mv/JH/ABX/ANge+/8ASd6/ghMeDnFf3vfGX/kkHiv/ALA99/6TvX8c37Bfwq8C/G39rHwl8MPiXZHUNE1Rr0XNuJZIS/k2NxMnzxMjjDop4YZxg8Eivyr6JWcU8uyfNswrJuNJRm7b2jGbdrtK9lpqvU+g8QsPKticPRjvK6+9pHxyygnGKUIpHav6Kv8Agoz+wX+yv8BP2X9S+I/wq8NPpusW97Zwxzm9vJwEllCuNk0zocjuVyO1fhb8DvDGi+NPjZ4P8IeI4ftGn6rren2d1EGZN8M9zHHIu5CGXKsRlSCOxBr+q+BvFDAcQZTUzjBRmqcHJNSSUvdSbslJrZ6anwWa5HVweIjhqrTk7bbau3ZHku0HoK19C0LWfE+t2fhvw9bSXt/fzJb21vCpaSWWRgqIijkszEAD1r+nz9q3/gm3+xx8Mf2bvGvxB8E+FHs9W0fSbi6tJzqF/II5Y1yrbJLhkbB7MCPavzy/4Ix/B3TvHn7SOpfEfW4Vng8Haf51uG5C3l23lRPjvtjExHo20jkV8fgPH3K8fw7jOIMHTmo0NLTSTcmlyrSUtG2lf8D06vCdeljKeDqtXn27deiP1C/Yo/4JdfCv4E6BZeNPjJYW3ibxpKqTOLhRLZ2DEZ8uGM5SR0PWZgTkZQKOv1D8WP28P2R/gVrD+E/HnjG0t9Rtj5clnZxzXkkTL/BItrHIImH91ypHpXjP/BUj9pbxB+zr+zg8PgmV7bXfFdwdLtrmNtr20RRnnmQjkOEGxCMFWcMDlef5AXeSaRpJGLOxJJJyST1JNfzh4b+FGN8QVU4i4mxU+Ryaio26b2umoxT0SSu2ntu/tM64gpZRbB4Kmrpat/rs2/mf2wfDr9u/9jn413y+FvCfjXT7i5uhsFrfJLZtLnjYq3kcQkJ/urkn0NfxTagAL+cDp5jfzqoa9G+E3wp8b/G34iaX8Lvh5aG81bV5vKhTOFUAFnkkbB2xxoC7t2UGv6c8NvCXLeC/reIw9eTpTUW+e3u8nM2+ZJK1pdla276fEZ1xDWzP2cJwXMr7db26fI85or+rf4G/8EgP2Yvhn4di1D4yrJ4w1dIxJcy3E0ltYxMBlvKiiZCUHrMz5xnC9B7CP2Dv+CdvxTsbjSfDfhrRrpoPld9JvZBLERxktbz5BB7Nkeor4PH/AEtuHKVaUKFGrUhF6zjFW9VeSf3pHqUvD3GSinOUU30b1/BH8c9Ffqz/AMFAv+Ca+qfsqWa/FD4bXc+seC5pVhm+0AG6sJJDhBMyBVeJz8qyBVwxCsMlS357/Bf4P+Nfj18TdJ+FHw/gE+p6vN5aFsiOJAC0ksjAErHGgLMcE4HAJwD+7cO8eZVmmV/2xhKydFJtt6cttWpX2a6+WuqaZ8pjcnr0K/1epH3vzvtY8sO7tX0d+xwD/wANa/DIn/oadJ/9K4q/pc+DX/BKH9kf4T+Foj8QNMHi3VI4911f6lK6Q5Ay3lwI6xJGO2/ewHVzUE3/AAT0/ZL8TePvDHxg/Zvks9J1Xwnrun3866bdm5s547a5SSWGSPfKI5NiNsKbfmGGBHI/nzOPpT8O4uliMDSp1OSUZRVTlXLdppX15km+6v5H1uG4BxlOUKsnG907X1/Kx7v/AMFEf+TKPiL/ANgs/wDo1K/ii3fLiv7X/wDgoeM/sVfET/sFn/0alfxzfCr4W+MvjT8QtK+GHw+tDeavq8whgj6KOCWd252pGoLu3ZQTXnfQ+xdKhw5jK1eSjGNRtt6JJQi235I6PEalKeMpxhq3G34s83GM80EAdK/qw+Ff/BLD9jv9n3wB/wAJb+0RLBr13axLJfajqly1np0DHAIjjDxoEycAzF2J6YyFHTy/sFf8E3/2ovCF1dfB6DT0aI+V/aPhu+LPbyEZAePfJFk9dskeSOmOtfWV/pXcPxqydOjWlRi7OooLkv8AN3+9J+R58PD/ABnKryipPXlvr+R/JSVIGabX0T+1N+zj4u/ZX+Mmo/CTxa/2kW4WezvFQol3ay58uZVJOOhVlydrqy5OMn+gD9kH/gm9+xz8VP2ZfBfxE8deFHvdY1fTY7i7nGoX8QeRicnZHOqL06KoFfo/G/jLk+RZXQzivzVKNZpRcEne6ck/elHSy9b9Dxss4bxOKrzw8LRlHe/3dEz+Xaiv6nvgD/wSM+AOk6/4l8X/ABf0mTUobnW9RXRdIe4nSCz0yK6kS0LsjiSaR4VV8u5G1lyC2TX4Xf8ABQf4ZeBvg7+1/wCMPhz8NdPXS9E05rH7Nao7usfnWFvNJhpGZuZHZuScZwMAAVy8D+N+TcQ5tUyjLVJyhDncmko6OKaWrbacl0to7Nqze2Z8MYnB4dYiu1Zu1uvX/I+MqKKK/Yj54bgk80xl54qWjAoAgwaSpyMjFRlQO9ADKKKKACiiigBCB6UwqxqSiqUrFKViLYaTaR1NTUEZ4pqoNVCvRT2A7Cm4Oa0TNExK+2P2ENQ/ZN0/4wzyftfwefoDWEotS6zNAt1lcGVYPnI2bguBjdjNfE9FeRxBk6zDBVME6kqfOrc0HyyXmn0Z04TEeyqKpZO3R6o9I+MM/wAObn4p+IZ/hDHLD4Xe/nOlpPnzBa7z5ed3zfd6bvmxjPOa43Qtd1nwzq0GveH7qSzvLZt8U0TFXUjuCKyaK7aGDjCgsPJ8ySt72relte7fXuZyqNyc1p6G94o8UeIvGusy+IfFd7Nf3s2N80zFmIHAGT2A4A7Vz+0U6it6NGFOCp01ZLRJbImU5N3bGbeMUmypKK0DmYtvay3U6W1uN0kjBVHqScAV/VT8OfBmm+FPA2leDYIle2sbKG12EblZVQK2QeDuOSc9cmv5jvhhaLf/ABL8O2LjIm1O0jI9mmQf1r+sHT7Tyztx04/Kv5Y+kpmMo/VcOnp7z/JL9T6fhylzOUmflj+1B/wTjtPEKXHjz9n6Fba9w0k+jZxHKepNsT9xj2jPyngKR0P5G3egP4DuJLfxVasurxnaLKZSpgI/inU857qh69TxgH+vjT4iMV85ftNfsW/Df9pzSjeXyrpPiSFCttqkKAscdEuFGPNT/wAeXsex+I8PfH+rg3HAZ3Jypbc+8o+vVr/yb12PZx/DXOnUw/xdun9fgfywXt1dajdPe3shllkOWZup/wA9h2pLS5vNPuFu7GVopUOVZTgj8a9p+Ov7PPxS/Z28WN4T+JWntbl8m2uo/nt7lB/HFIOD7qcMvcCvEtpr+0Mvx2GxeHjXw0lKnJaNapo+EqxqQm4zVmjqPt2ja4NmtoLS5J4uYV+Q/wDXSIYH/AkwfY1k6p4f1LSgss6h4ZPuTRnfG/0YfyPI7is3aa1tL1fUdIZvsjAxycPG4DRuPRlPB/zitfZSh/D27P8ATt+QKpfcw9hrX8L6fHceMNJkPDreQEEe0i8Gt77DoeuLv051sLo/8sJG/dMf9iQ/d/3XP/AvRfDen3Wm+ONMsr9DFKl5BlWHP+sXn3B7EcGpnivcklo7PQcZSi7pn9W3wP8A+So6D/12H/oBr9QPEf8AyL1//wBe8v8A6Aa/L/4H/wDJUdB/67D/ANANfqB4j/5F6/8A+veX/wBANf4++LH/ACM6H+Ff+lM/V+BP9zqer/JEVhqVhZ2NhaXUyRyTxII1Y4LEKMgZ6n2pmq+GtP1Scagpa2vEG1LiE7ZAPQ9mX/ZYEU63sdP1TQbfT9SjSaOSFMo4BB+UdjWP/Z3iHw582hub+zH/AC6zt+9Qf9MpWPI/2X/Bh0r8yppc7dOfLLXfZ/P9Hp59D7WXwpSV1/X9aa+Qf23rHhxdniqMTWw/5fYFO0D/AKax8lPdlyvrtrsLa6tr23S6tJFlicZVlIII9iKytI8RaXrLvb2zFLiL/WQSgpKn1U849CMg9jWbdeFvs9w+peGJv7PuXO51C7oZT/00j45/2lKt7npU1YQlLlqrkl+H3dPlp5IcJSSvB8y/H/g/P7zS1fw7pmsulxcKUuIv9XPGSkqfRh29Qcg9xWINS8QeHPl11Df2Y/5eoF/eIP8AprEOv+8g+qjrU9t4qNpKlj4ph+wTu2xXzugkPbZJ0BPZWwfauwolUqUkqdZc0en/ANq/8tO6YKMZ+9Tdn/W6/ryZTsNQsdUtVvdOlWaJ+jocg1crhruwtdO8a2F1Yp5L3qzifZwJNiqVLAcEg9D1rX1bxZ4e0HUbXStZuktpr3d5IkO0OVxkbjwDzwD1rKpgnKUVQTfMr2trpe+3az17dio10k/aNKzt+X+Z0LKrqVcZB4INfN3xF/Zt8K+KVk1Hwxt0q+OWwo/cOf8AaQfd+q/ka+kqK1yrOcVgqntcLNxf4P1WzM8dl1HEw9nWjdf1sfjh8TfhHfaSknhn4jaUk1tNkDzF3xSe6P6+4ww9q/PP4kfsl3Nk8msfC6UyR8sbCZvmHtE56+wbn37V/UXqmk6Zrli+m6vAlzbyDDRyKGU/ga+N/iP+y4yeZq3w6k3DljZyt09o3P8AJvzr+lvD3x6qYaap1Zcjfzg/Xt6/ij8j4m8OOaLlRXMv/Jl/n/Wh/F/+0FZajp3xBaw1aCS2uIreNXjkUqwILdQa+y/glfCP4U6MmfuxP/6Mav1X+OP7O3gb4qWr+GPito5W8twVjmx5V1AT3STrjvg5U+hFfDHiD9mXxf8ACPw9FY+GWfW9Ls1bEqLidVLFvnjGc4zjK59eOlf29lnill+bYKlhpvkqJrd+69Hs/wBH8rn5Jxjlkp5dTw0E24PX5Jo5k6p2zSrqnPWvKX1wK2CelO/4SDcNuR+FfQPAdkfk/wDYztsfKX7TM/n/ABJ3/wDTrEP5189gkdDXtvxymjvfHwkkbC/Z4+fzri4dH07QbePWtbXzTKN1tan/AJaf7cmORGPwL9Bxk1+rZZWjSwtOL3svmf0fwvS5cvox7RRU03SrPTbNNe8RLmNwTb2/RpiP4m7rGD1PVug7kUdV12/1qY3F+QWICjAwFUdFUDAUAcACqt5dX+s3j392xklfqewHYAdAAOABwBVEgqdp6iu+nQvLnqay/L0/rX7j2p1OiGhVLgt071cuo7TaPI6+1VKK6XHW5Ckx8NuZn2L+tOmhaB9jfXimI7RtvQ4NK7vK25zk0tb+QN3QyitG1mSBSGGSe4//AF1VcCRy4GMnpSVTWwiCitOKyjkg8wtzUX2Nf74qXiIiP//X5eipto7U0oeor/dZTR/JqmiOilIIpKooKKKKAP32/wCCFH/IxfEr/r20v/0O6r9WP2uv25Phl+xtLoEPxE0vVNRPiIXRt/7OSF9n2Tyt/medNFjPnLtxnoc44z+U/wDwQo/5GL4lf9e2l/8Aod1X1Z/wVR/ZC+OH7VFz4Gk+DlhBejQ11IXfnXMVvtNybXy8eYRuz5TZx0x71/nL4kZXlON8U6mGz2ahh2o8zcuVK1BNe9095L8j9qyTEYilkEZ4RXmr20v9vXT0ObuP+C3f7NM1u8K+GfEwLqR/qbPuP+vuvzY/4I4+BtN8XfthLrOpRiQ+HNGvNSh3DIEpeK1B+oW4Yj0Iz2rm/wDh0X+25/0AbH/wY23/AMVXd/8ABOwat+yh/wAFBh8Kfi00em6he20+gzhZFkjFxcCK4gTepKnzHRFXH8TAV+wz4d4Wy/hrNsNwfiFUqVKTclGopvlin0TutJNfNHzSxmPrY7D1Myg1FS0urav/AIY/Vv8A4K/fGbxT8K/2YINA8H3T2Vz4r1JNOnmiYpILRYpJZlVlwRvKIjc8ozDvX8wHwg+Kfi34K/EnSPib4JupLS/0m5jmUxsR5iKwLxOB95JFyrKeCDg1/Wv/AMFIv2XfE37U/wCz2fDfgPY/iDRL1NTsYZGCLcFEeKSDe3Cl0kJUnA3qoJAJI/Bb9mX/AIJmftJ+P/jDpdh8S/DF34b8O2F1HNqV1fKIg0MTBnigByZHkHyqVBQZyTgYrxPo78W8N4Hg2vTx9WEZJzdSMmk5JrTR6yTjorX1utzr4yy7HVczjKjFtacrWy/y11P6n/jGwPwf8VN66PfH/wAl3r+Sn/glr/yfh4D/AN7Uf/TbdV/Wv8ZP+SQ+Kv8AsD33/pO9fx9/8E6/FVn4N/bW+H2s38iRRvqD2e5yAN17BLaqMnuWlAHvXwf0dqMqnCef04K7dNpfOnUPW4ymo5jg5PpL/wBuR/Qj/wAFev8AkyfWP+wjp/8A6PFfzE/sy/8AJyPw+/7GXSf/AEsir+u/9vP4F+Jf2iv2XfEfw08Fqj6zKILqyjdgiyS20yS+XuYhVMiqyKSQAxBJAr8CP2Jf+CeP7Sd/+0h4a8S/EfwxeeHND8M6lBqd3c36CISGzkWZIYlJzIZHUKSvyqpJJ4AP1H0fONsqwHBONo4yvGE4yqPlbSbThG1lu7tNK3XQ4OMcrxFXNKUqcG00temjZ/QV+3V/yZ38SP8AsA3f/oFfkb/wQm1Cyj1b4m6U5X7RNDpEqDPzFI2vFfA9AXXP1Ffrn+3T/wAmefEj/sA3f/oBr+XL/gnl+0vYfsv/ALSGn+LfEshj8P6tC+l6qwBby4JmVlmwOf3UqIzYBOzcAMmvj/CDhuvm/h5m+BwqvNyTS6twUJ2Xm+WyPS4jxsMPnOGq1NrP8br9T9Z/+C53hfUr74YeBPF9vvNrp+p3drKADsD3UKPGW9D+4YDPqa/mswepr+8v4ufCz4f/ALR3wj1H4c+Ldt7omv2y7ZoGViucSQ3ED4ZdyMFdGwQcDIIJB/mm+Kf/AARu/aq8I69NB8NxYeLNMLHyJ47mOzm2dvNiuWRVb2SRx71+hfRo8YsmwmSrJM0rRozpOVnN2UlJuW70TTbTTfa19beTxvw7iamJ+tYeLkpJXtq01psfkZjFfvD/AMEMPA2map4/8e/Ea7jD3Wj2VlY27EA7RfSTPIR6H/RlGfQkd68u+Ff/AARb/aS8U6tGPihqGm+FdOGDI6yfbrn6JFERGT7tKuPetv8A4IvfF7QvAHx68R/CXWp1g/4S60jFoznAkutPaRki+rRSykepXHUiv0bxe4ywGe8J5nhshrqrOnGDlyapRc03qtH7sZXs3pvueLw7l9XC5hQni4cqk3a/e3+bR9Of8Fu/jP4s8NeFvCPwZ8P3clrY68bq91IRMyGdLcxpDExBG6Ms7syngsqHsK/Br4AfFrxV8D/jBoHxK8I3Ulrc6deQtII2YCaDevmwyBSN0ciZVl7g+uK/ph/4KsfsceP/ANpvwLoPi/4TQC+17ws9wGsd6xtc2tyEL+WXwpkjaJSqkjcrNgltqn8eP2XP+CaX7S3j34x6NH8RvC954b8O2F5Fcajdagoh3QwurPHCrfM7yAbVIUqM5JwOfk/A7i/hnC8CexxlWEWlU9rFtKTbcuj1leNkrJ323R6XFGXY2ea89OLd7crV7Lb7rM/qE/aO8F6X8RfgF4z8FazGskGoaNeR/Nj5X8lmjcZ43I4VlPYgGvwe/wCCF/gbTdS+IXj34i3MYa50ixsrGBiM7RfSSySEeh/0ZR9CfWv2L/bu+NmifAn9lvxZ4p1GdY7y+sZtM02Mkbpby8jaKMKD97YCZWH9xGr8Sv8AgiJ8TtG8M/GrxT8MdUuBBP4n0+Ga0RuBLNYNIxQf7QilkcD0VvSvwvw3y/MH4c51UpJ8snC3/bri6n/ktr+nkfVZ1Wo/2zhoy3V/xvb8T6U/4LefGfxT4a8I+Evgx4funtbLX2ub3UhGxUzR2xjSGJsY3RlnZmU8FkQ9q/IT/gn58VfFvwq/a38ET+GbqSGHW9WtNIvoVY7J7e+mWBlkXo20uHXPRlBHIr97f+Crv7HXxB/aW8EaB40+Ett/aGueFnuEewDKj3FrchCxjLYBkjaMEKSNys2MsAD+dX/BPD/gnZ8ef+GgtE+Knxg0G58NaH4VuVvwt8BFPc3MOTAkUZy21ZAru7ALtGFJJ4/XPC7i3hvDeG9TD4mrBS5aqnBtc0pNy5dN22uVJ2/J2+ez3L8bPOozhF2vGz6JaX1++5+2n/BQ7/kyr4if9gs/+jUr8f8A/ghl4A0vVviL46+JV5GHutFsbOxt2YZ2/b3leRl9Di2C59GI7nP7Af8ABQ7/AJMq+In/AGCz/wCjUr8Wf+CI3xY0bwp8Z/FHwp1aZYZfFdjBNabjjzJ9OaRvKX/aMU0j/RDX5h4c0sRPwvziOF+LnT0/lXs3L/yW9/I9zOZQWeYZz2t+Otvxsfqz/wAFAf2Nfih+2RYeH/DPhfxVbaBoukPLcXFtPFJJ9ouXAWORthA/dJuC5/vt7V5T+wb/AME5/iT+x38WL/x1qni+01bTdS06Syns7eGWMs5kSSOQ7mK5TawHfDHHU12P/BSr4YftceJvDWi+PP2T9d1e1udJE0WpaXpV3JbyXMT7WjmjRXUSPEVZSoy7BxtB2kV+I+i3H/BWzxBqg0fTn+JIm3BD5x1GBFJ6bpJdiL9WYDHPSuzw8yrNs24S/s6hmtClh2pKVOSipR95t8zavrupX2tZ6EZxXw+HzD208POU9LNXs9On+R95f8F2PCtu+l/DrxrEFWaOXUbGQ45ZXWCSMfRSr/8AfVfqJ/wT/wCP2MPhyP8AqDRfzav5Sf2sLr9qTwz40X4Q/tOeJNQ1jUtJSG6+zXd+99HbtdRLIArFmTfsYBipI7AkV/Vv+wB/yZj8Of8AsDxfzat/GXhqeUeH+WYCVaNVKo2pR+FxkpyVn1VmRw5jViM3r1VFx0Wj3urL9D+b3/gpN+1F8Ufib+1B4m8Iw6xdWmg+FL+XS7Gyt5mjiV7RvLllZUKhpHlVm3HJUYUHCivzq17xBr/ijVJNc8T31xqN7MEV7i6laaVhGoRAzuSxCooUZPCgAcCvdv2uv+Trvid/2Nmtf+l01fOzBjwK/uLgDJsJgsnwtHDU1FKnHZW3Sb+ber7vVn5fm2JqVMTUlN31ZFRSlSOtJX2x5oUUUUAFJgUtFADdoxigqCOKdRQBFsIppGDU+KQ/SgaIKKeQxNNwaDVRTEopdppKA5EFGBRRQHIhAoFG1aWindjsJgUYpaKE2CQzYKNi0+inzsY3YtGxadV7TtNvNVuhZ2Kb3PJ7BQOrMTwAO5PApSq2V2NK+x2fwjDr8VfDTxKXZNVs2wBnhZkJ/lX9Z1lDvO78fzr+S608QWnhK9gj8Ot5kkMqPNdgYZ9jA7I+6px16t3wOK/pe+MXwo8e/EzRdK8SfCPxfdeFPEGko0tnMgEtlciVVzFdwEESRnHB6qTnB6H+VvpBYSGJxeCWIqKlCSmuaSbStytNpJtJtpaJtLW3Q+04WVlNLVqx9R2MXQ9K6+yTBr8X/wBi/wCMP7Vur/tr+Mfg7+0bqaSS6fpAneytlQWiSRtCsU0AQAKJI33HGN2fmGRX7V2a881/L3iTwXXyDGRwVerGo5QhNSg24tTV1ZtK/r13PvcBVVSPMlY534h/CjwB8Y/B9x4F+JOmx6np1yMFHGHjbBAkifrHIvZh+o4r81tP/wCCG3hTVrjVdRXxzdQWMxJ0qP7MjyRj/p5YsA+G/uBcj3r9crUcCu/0bxFfafai0QK6j7u7PGa+UyXxL4gySjOjk+IcFJ6rRr1Skmk+7W63OnEZPhMTJSxEL2/rofw0/GH4X+IPgr8UNc+FPiko9/oV29rK8fKPt+6698MpDDPIzzXm1f0ift4/8Ezp/jFrWpfG74GybfEl4TPf6XM58u8fHLwO33JSMfIfkbttPX+dPX/D+u+FNZufDviazm0+/s3Mc9vcI0csbjqrIwBB+tf6WeF/ibgeIsuhWoVE6sUvaR2albXTXRu9mrrzufjudZPVwlVxkvdb0fkaPgbStJ13xppGia7N5FleXkMM8mcbY3cKxz24PXt1r+gXWvgn8HYvAq6BcaLaRWWmx+bBNsAlhMXzB1l+/wAEZOTg9xX86Ne1aD8X/ijrNxpPg7VdfvrjS1urdfszzMUKrIuFIzyB2B4FeV4n8CZhnNbD18JinSVK7a1+9W69NfvNcnzSlh4TjUhdyP6dfgf/AMlS0H/rsP8A0A1+oHiP/kXr/wD695f/AEA1+X/wP/5KjoP/AF2H/oBr9QPEf/IvX/8A17y/+gGv81/Fj/kZ0P8ACv8A0pn6DwJ/udT1f5Izv7D03W9GskvVIkjiRopUJSSM7RyjDBHv2PQgiqf2vxL4dfbqCNqlkP8AltEo+0IP9uMcOPdMH/ZNXDodnrWi2YuGeKSOJDHLExSRCVHII/UHIPcVT/tPxB4dIj12M39r2uoE/eKP+msQ/Vk49VHf84py5rwTUtX7r/8AbX+ml30Z9jJWtLbzX6r+vVF6a08N+MrOO9gdZdufKuIW2yRnvtcfMp9QevQiqX2vxJ4dbGoqdTsh/wAtol/0hAO7xjhx7oM/7Jpz6No2uf8AE/8ADdz9nuJOftNsQQ5HaReVf0IYZHqDSJ4kv9GkFt4uhEK/w3kOTbt/vZyYj7NlfRjTjFtezh7yX2X8S9P+B842BtL3paPutn6/8H5M37a70bxHpxe3aO7tpQVYcMpHcMD+oIrnToWsaAPM8KSiSAHJs7hiUA9IpOWT2B3KOwArpLTTtJS5fWLCKMSXKgtLHj94OoJI4b2PPFadcCxXs5ONP4X0f9fjo/Q6PZcyvLfuv6/DU8z/AOEgttV8YaTaPG9tdxLcGS3lGHXKDBBGVZT2ZSR+PFeS/tN+BfE/ivTtP1Lw7bG7WxMhlROZAGxghf4gMc459q931hVPi3RmI5AucH/gC119e5gM8lgMTQxuHjrFPR6rVyT/AD0/U87E5esTRqYeq93uvRH5m/D749eNfADLpd6TqFjGdpgnJ3xgdQj9V+hyPpX3Z4E+Kng74hW4fQ7kLcAZe2l+WVfw7j3GRWT8Qvgt4L+IUbXF5D9kviOLqEAPn/bHRx9efcV8LeN/hF4++F95/aYV5LeI7o7213YX3bHzIfrx7mv0t0ci4jV6f7jEP7m/yfytI+S9pmWVaS/eUvxX+X4o/UWivgz4cftP6rpQj0rx6jXtvwBdJ/rVH+2Ojj34P1r7V8O+J9A8V6euqeHrqO6hbHKHJGezDqD7GvzLiPg/HZXO2Jh7vSS1T+fT0Z9dlWe4bGRvSlr2e5k+M/h94T8fWX2PxJarKVHySr8sqZ/ut1H05HtXw38Rv2cPFPhMyal4Z3apYLzhR+/Qf7Sj7w91/EV+jFFacO8aY3LXy0pXh/K9vl2+Rjm/DmGxivNWl3W//BP51fip+zf4F+JIlvokOk6qc/6RAoAdv+msfRvcjDe9fmT8UvhL8RvhDdE+JbUyWJOI72DLwN9T/A3s2PbNf17/ABE+Bfgzx8jXfliw1A8i5hUAsf8ApovRh+R96+B/iV8GPE/gtZbPxJZJe6bKNpmCeZA6ns4IwPowr+xPDH6Qnw4eTuv5JPX/ALdl+n4I/GOIuA6lBubjdd1+qP5TvHosLDWl17V1Wa4eFDb2rcjH/PSUf3f7q9W7/L18bvb261G7kvr1zJLIcsx/zwB2Hav2u/aK/YB0T4gXVx4w+FFyumaq43NZTk/ZZT6I3JiJ7dU7cda/H7x78N/HPww1t/D3jzTJ9NulJwJlIVwP4kb7rr7qSK/ujgbjLLc0pJ4ap+8S1i9GvRdV5r5+TwDUaMaSeyONSaWMYjOM0xmZ23Mck0gGadsNff6I7BySIq7WQH35qKnbGFPVe5pXSAaq561IABwKWis3K4NhRRTgpNSZOfYTnpRhqlVcU6gXOz//0Ofooor/AHQP5HEIBGKaU9KfRTUmNSZFsPamkd6nowKtTLUz7z/YT/bk/wCGKdR8S3//AAi//CTf8JDHax7ftv2PyfsxlOc+RPv3eZ/s4x3zx+iv/D9//qlf/lc/+99fz6lB1pmyvyrifwS4WznGzzHMsLz1ZWu+eor2SS0jJLZLofRYDizHYakqNCpaK8k/zR/Qb/w/f/6pX/5XP/vfX4z/ALQnxxvPjj8e9b+Oun2T6DcatdR3cUEc5me3eKNEUrMEiJIKbgQq4P0zXhO05ptehwd4R8O5BXnicpw/JOS5W+acrq6drSlJbpEZlxJjMZBU8RO6Tvslr8kfvJ8DP+C2viLw54YtvD3x38Ltrt3aoE/tTT5lhlmCjGZYHXZvPVmR1UnogrjP2lv+Cynjb4m+FLjwN8FtBfwtb3qmO51Ce4Et4Ym4ZIQiqsJYcF9zsATt2nBr8TqK8Kj9H3hGnjv7Qjg1zXva8uW/flvy/K1vI658Y5jKl7F1NPRX+/c/ezxl/wAFvv8AhLvB+q+FP+FY/Z/7Ts57Tzf7a37POjaPdt+wDO3dnGRn1Ffg1bXNxZXMd5ZyNFLEwdHQlWVlOQQRyCDyCKgor67gzw3yXh6FSnlFH2aqW5velK9r2+KT7vY87M87xWMcZYmV7baJfkfvb8Ff+C3WuaF4XtdB+OXhRtav7Zdj6np86QtOAMAvbOmwP/eZZApPRFry74+f8FiPH/xN1rRtP8AaCdA8OadqVpf30Jud13qKWsyTfZ2mWPbBE5TDBVckdSVyh/GOivksN9H7hGjjXjqeDXM76Xlypvqo3svKysuiVj0Z8YZjKl7J1NPRX+/f+tT9ufjr/wAFkP8AhdXwd8SfCb/hXP8AZn/CQ2E1j9q/tfzvJ81cb/L+xJvx6blz61+I1FFfacGcAZRw9Rnh8opezjJ3a5pSu7W+029jzMzzjE4ySniZXa8kvyP0G/ZV/wCCknx//Zc06LwhYyQ+IvDERJTTNQLfuM8n7NMvzxAnnad0Y5IQEk1+n2k/8F0Ph3LYh9d8Aajb3O3lILyGZN3oHZIjj32/hX83dFfJcU+BHCucYh4vGYVe0e7i5Rv5tRaTfdtX8z0MBxZmGGh7OnU0Xez/ADP33+If/Bc3xBdac1r8KfAcFldHOLnVbtrhB/2whSEk/wDbX8K/Bqx1fVNL1eHXtKuJLW9t5luIZoWKSRyo25XRlIKsrAEEHINZtFfScF+GuScP06lLKaCgp25tXJu17Xcm9rvTbU4szzzFYySliJ3ttsrfcfuJ8C/+C2HxF8JaHb+Hfjh4bj8TtAoQalaTC0uXCjrNGUeKRz3K+UPYnr7l4n/4LoeDYtNb/hC/AF7PdkYX7beRwxqfU+WkjMB6cZ9RX85NFfD4/wCjfwdiMQ8TPCWb1ajKcY/cmkvRWR6tHjbMoQ5FU+9Js+lP2m/2sfjH+1h4uj8UfFG9TybQMtlp9qDHaWqtjd5aFmJZsDc7lnbAGcAAeG+C/GHin4d+LNP8c+Cr2TT9W0qdLm1uIsbo5EOQecgjsQQQRkEEHFc7RX67l+R4PCYRYDDUoxpJW5Uly26q3n179T56rjatSp7Wcry79T+g74Y/8Fyorfw9DZfGHwTJPqcSBXutKuFWKZv73kTDMee4Ejj0x0rxT4zf8FmfiF478WaAfAfh7+w/Dmk6paahe232rN3qSWsyTfZ3nWPbBE5XDBUcnuSuUP4slSe9MK4r8qwf0eOEKGKeLp4NXd9HKTir9k3ZeXbpayPoqnGWYTpqm6n4K/3n7V/tD/8ABYX/AIX38FPEXwe/4V3/AGV/b9r9m+1/2v5/lfMrbvK+xR7vu4xvX61+NXh7xBrnhPXbPxP4Zu5bDUdPmS4triBikkUsZ3I6MOQQRkGsejHevuOEPD7J8hw08HlVHkpzd2ryld2S+05dFa2x5uYZvicXNVK8rtbbL8rH7y/Bj/guB4u0LQ4NF+OPhNNcuYVCnUtOnFrJJgYzJbujRlz1Yo6Lnogr1PxN/wAF1fCEVpIPB3w+vLicqfLN7fRwoG7FhHFISB6AjPqK/nHor88xf0bODa2IeIlhLX1spzUfuUkl6Ky8j2KfGmZRhyKp+Cv+R7j+0Z8e/Fn7THxc1L4w+Nba1tL/AFIRIYbNXWFEgjWJAN7OxO1Rkk8nJwBxX6h/s/8A/BYv/hRfwY8OfCH/AIV1/an/AAj9mlp9r/tfyPO2knd5f2KTbnPTe31r8S6K+44h8McizXAUcsx2H5qNK3JFSlFKysvhknotNWeXg88xWHqyr0p2lLd2Tv16pnofxd8e/wDC1Piv4n+J/wBk+wf8JHq17qn2bzPN8n7ZO83l+ZtTfs37d21c4zgdK88oor7bC4aFGlGjSVoxSS9FojzKlRzk5S3Y0qDSFB/n/wDXT6K6FJkERXFNwanpCKtVAIKKk2gU0r6VaYDaKXBpKYBRRRQAUUUUAIRkYpNi9KdRQO5HsJ6UmwmpaKCudkQSl8v/AD/k1JRQLnZEVwOabgjrU9IQD1oKVTuQUuD0qetTRNKGs6pDprSrCJDjc354A7k9AM8nFTOainKWyKjK7sQaTpF1rFwYoSESMb5ZX4SNB1Zj/IdSeBzWjqOrWtvatougbltj/rZW4ecjoW/uoOyficnpNrt+6KdAs4WtLWFuYmH7xnHG+U929B0Hb35kqprnhB1LTnt0X6st1EtEQ1/XJ8AtcXxV8FvCXiPOTd6RZu3+/wCUocfgwNfyQ7AOlf03f8E8fEv/AAk/7KXh0MdzaXJc6e3r+7lMig/RZQPpX86fScwPNlNDEr7M7fKSf+SPreDKy9vKHdHz38HV/wCNuHxHH/UtwH/x20qv+1f8WP2o/iP+2xoH7Jv7NXiQ+FVt9NXUL68Cqy5fc7PMCpLJGoQKg4Zn59voPwL+zv8AEHwr/wAFBPE37Qd0kM3hrxHoK2sMsb/vIriL7OpjlQ8jcI2ZWGVxwSDxXC6hoq+BP+CumieKNQ+S28ZeDLm0tWJxvubZ1aRRxjiNAcfX8fh8JnmXVs1WOpRhWnRy5OCklOKq06STTi7puCUnZrpc+29jNQ5XdXn+DZ7h8Mv2gvjL8G/iDo/wI/bGgtJJ9df7Pofi7TlMdhqNx2triIj/AEa5YfdGdr9gOcfpFbjHFfIX7Zfww0z4r/su+MvDl8pFxa6bNqVlMvD295YobiCZCOQyOnBH8q439nD9r/whqX7Cvhz9qL4zamtjbQ6cqapcspJa6t5GtpNsagszSSISqqCTnjjmv584iyFZ1ltPO8tw/LUdVUalOCdnOScqcoRV7c6Uk4LRSj7qSlyr2qFX2c3Sm9LXTfbrf0P0Gh6V8g/tY/sO/CT9rLRXm12MaT4mhTbaazAgMq45CTqMedH7E7lySp7HT/Zy/bY/Zp/ajln0/wCEHiSK81G2BaTT7hGtrsKP4hDKFZl/2lyK+vk6V+c1P7b4XzNOUZ4fEQ6NOMl6prVPs0013R2TpUMVRcZWlFn8TX7Rv7L/AMWf2X/GjeEviVYlIpSWs76IFrW7jB+9G/TP95Dhl7jGCfIPA9tcXXjLSYbdC7m8gwqjJ/1i1/Sd/wAFoAT+zV4fbHTX0/W3lr+fbwdJaXOq6VZ+EZVt3ae3FzFIds8pDrnbIeGX0Vdp9VPWv9MPCjxCxPEHDcMyxcEpvmi7be7pfyv22v1XT8T4gyuGExcqNN6b+ep/Tl8Dxj4paCD/AM9h/wCgGv0/8R/8i9f/APXvL/6Aa/L/AOB4x8UdBH/TYf8AoBr9QPEf/IvX/wD17y/+gGv84PFj/kZ0P8K/9KZ+g8Cf7nU9X+SM06Ze3+j2Uum3klnPFEhVlwyNlRw8Z4YfTBHYiq6eJ59KmFp4thFpk4S5QlrdyemW6xk+j8ehNdFo/wDyCLX/AK4p/wCgir0kcc0bRSqGVgQQRkEHqCK/LZYmPM4VY3V35NfP9Hdeh9wqTspRdn+By154Xt3uDq2gTGwu35Z4xmOT/rpHkK/14YdmquviabTpfsPi+AWob5VuVO63kzxgsf8AVk+j8ehNI3hu/wBEPneEJhEgOTZzEmBvZTy0ftt+Uf3at2PiOw1KY6Lq0JtLtlO63nAw46HY33ZF+n4gdK7L80bv34r5SX56fevNMw2f8rf3P+vky7pWgabpE8k+lboophkwq37ncTncq8hSe+3APcZ5rdrn9M0Gz0B5ZNOaSO3YE/Z92Y1PXKA5K/QHb6Cs/QPGmma55dvKj2V1IoYQTgKzA90IJVx/unjuAa4q1GpV5qsG5Jbvr89/v19TeE4wtCWjY7V/+Rs0f6XP/oC111cjq/8AyNmj/S5/9AWuuqMV/Dpen/t0h0fin6/ogpkkaSoY5VDKwwQeQRT6K4kzoPmX4i/s0+GfExfUvCjDS7w5JQDMDn/d/g+q8e1fHt1YfEj4MeIBI3nabcA/LIhzFKB6H7rr7H8QK/VysvWdE0jxDp76Vrdul1byDDJIMj6+x9xzX6bw54mYrDR+rY1e1pPSz3t6vf0d/kfI5rwjRrS9rh3yT7rb+vQ+YPhz+0/pGrlNL8dxrYznAFymTCx/2hyU/UfSvqy2uba8gS6s5FlikG5XQhlIPcEcGvir4jfsuSxb9U+HT715Js5W5H/XNz1+jH8a8J8K/EX4h/CbU202BpIVjb97ZXKnZ7/KeVz6qRX0GK4IyzOKbxORVFGXWD/q6/FdmeXR4hxeAkqOZRuukl/Wv4M/VKopoIbmFre4RZI3GGVgCCPQg14p8Ofjz4P8e7LCZv7P1Aj/AFExGGP/AEzfo30OD7V7hX5HmWVYnBVfY4mDjJd/07+qPuMJjaWIh7SjK6PlX4jfsx6Hrhk1TwQ66ddHLGBuYGPt3T8Mj2Ffnj8Yvgfpmu2Ungb4w6GtxA2dqzr/AOPwyjkH0ZDkV+3FcV4+8EaR4+8Nz6FqsYJZSYZMfNHJj5WU/XqO44r9G4O8U8bgKsI15NxT0lf3o+afW3nr5nyed8G0aydTDe7P8H/l8j+HX9q/9l7Uf2e/EUV7pUj3vh3U2b7JOw+eJxyYJSONwHKtxuGTjg18jV/S/wDtU+ALHxf8EfFnhvWI1eaxtZriJv7k9plwwP1Uj3Br+aCv9ZvCXjKrnGWuWId6kHZvurXT9e/pc/M6FZtWluFFFSeX/n/Jr9TNedkdFfSn7K3wMtfj98WoPBWp3LW1hBBJeXbR48wxRFV2pnIBZnUZxwMntX3b+1j+wx8K/APwkvfiL8MRcWNxowSSeGaZpkmiZ1RjluVYbgRjg8jHp8HnPiPlmAzOllOIk/aTtay0V3ZXfm+yfnY7aOXValJ1Y7I/IFUz1qQADpS4xRX3h54UUUUAf//R5+iiiv8AdA/krk7BRRRQS0FFFFAgoorV0LRNT8S63Z+HNEiM97qE8dtbxL1eWVgiKPcsQKmc1FOUnZIaTbsjKpjV/SF8U/8AgkT+y38L/g5q3xI8Q+IfEMU3h/SZb26Mdxa+TLLbwl2CI1qWHmOMKN5PIFfzgV8FwB4mZXxJTqVsrcnGm0m2ravt3/4KPZzjIsRgJRjiLXfZleipioNN2Gv0VTR5amiOiuh8LeF9c8aeJtO8H+G4GutR1W5itLWFesk0zhEUfViBX62ftcf8En3/AGdfhNdfGLQvG1tc2WlwQm9tdQiaGR53KoVtpIwwkLyNhEdEwOrnBNfI5/x7lOV4zD4DHVeWpXdoKzd3dLona7dle1z08HlOIr0p1qUbxhufjlRRX74fE/8A4JO/BXwZ+y7q3x20XxHrc9/Y+Hm1mOCVrbyWcW/nbW2whtvbhs471hxh4hZZkVTD0swk060uWNk3rpvbbdGmW5NXxcZyor4Vdn4H0V+w3wl/4JE/EL4u/szaf8X9L163svEmrqb2y0ycA28lkyjyg86ZMcz8t91lAKq21txH5gfFT4RfEn4JeL5vAnxU0e40XVIBuMM68OhJAkjcEpJGSCA6MVODg8GtOHfEPJc1xNbBYDERlUpNqUdnpo2k91fqrrzJxmTYrDwjVrQajLVP+tvRnnFFet+C/gF8dfiPo3/CR/D3wXruvaf5jRfatP065uYd643L5kUbLuGRkZyM11n/AAyL+1d/0TLxX/4Jr7/4zXtVuI8vpTdOpXgmt05RTX4nLHBVpK8YO3oz54or9mP2Hf8AgmDZ/HXSdfb9o7TfFvgu+0uaD7Kr2v2GO5hmV8lDeWrFmRk+baeAy5HPPEftw/8ABNbxJ8EPHGjaT+zboPijxhpN7YGW6nFq1+0VysrKUL2dsioCmwhWGepyR0+Do+NHD885eRqt+9XX7G3N8V7bf5Hry4YxiwyxfL7v4722Pyeor6H/AOGRf2rv+iZeK/8AwTX3/wAZrlPGXwA+O/w60U+JPiD4K13QtOV1jN1qGnXNtCHf7q+ZLGq5OOBnJr7yjxHl9Sap068G3slKLb/E8iWCrRV5QdvRnkdFfWPwq/Yb/ao+N3gq3+Inwu8Jyaro128iRXK3VpEGaJyjjbLMjjDAjlfpXov/AA7C/bq/6EGb/wADtP8A/kivJxfiFkFCrKhXx1KMouzTqQTTW6abumux008mxk4qUKUmn/df+R8E0mAetftd+y1/wSD8cePZtXg/actdV8HfZfJaxe0msZ0uA24SqSrzFGTCkZGCGPpzW/as/wCCQXxJ8Ca9pC/stWeoeLtMurZ/tpvbmzjmguEfjBb7OpjkRhtADEFWyeQK+PXjxwq8z/sv63Hm/muvZ7X/AIl+X8d9N9D0v9Usw9h9Y9m7duv3bn4s7RQUB5r74/4dhft1f9CDN/4Haf8A/JFed/FT9hn9qr4J+Crn4i/FDwlJpWjWbRpNctdWkoVpXEaDbFM7nLMBwvfnivsML4hZBXqxoUMdSlKTskqkG23skk7tvsedUyjGQi5zpSSX91/5HyOwwcCm195/sn/8E/fi3+2B4W1Txb8OtV0jT7fSbtbSVdRknR2dkEmVEMEoK4Pcg57V9Un/AIIgftQH/mZfC2P+vi9/+Q68bOfF7hrL8VPBY3GRhUjo073XXsduE4fx1aCqU6TafU/GOiv2a/4cfftP/wDQy+Fv/Ai9/wDkOj/hx9+0/wD9DL4W/wDAi9/+Q68z/iPHCH/QfD8f8jp/1UzH/nyz8ZaK/Zr/AIcfftP/APQy+Fv/AAIvf/kOvlz9q7/gnj8YP2QPBOn+O/iJq2j6haalfCwjTTpbh5BIY3lywmgiG3EZHBJzjj09LJ/GDhnMMTDB4PGRnUm7JK92/uMcRw7jqUHUqU2kup8EUUVe0zTNS1rUrfR9Ht5Lq7u5FhhhhUvJJI5CqiKoJZmJAAAyTX6RKSSuzxUr6Io0V/QR8P8A/gifFrXwDh1H4geIptD8fXIN1sUJNY2qFQVtplGGdx1eVJAFJICuFy34SePPCf8AwgnjPU/Bp1Gy1c6ZcPbm806QzWsxQ4LwyFV3oT0OBmvguDvE7Jc+r1sPldXnlSdpaO3a6drNPWzT/A9XMsjxOEjGdeNlLY5KiiivvjyQxTCuelPoppgRFCDTKsYB60hUHrVqfcCCipyMjFN246U1MCKinlSeaNhquZAMopSMUYNMBKKXHGaSgAopcGkwaACijB6UUAdVba1a6lCmneJgzog2xXKjMsQ7A/30/wBk8jsR0Obqmi3WlhJmKzW8ufLmjOUfHv2I7qcEelY9bGla3d6VviULNby8SQSDMbj3HYjswwR2NcrpOGtP7v8ALt+X5mnMn8Rj1+8//BJLxVFffDPxR4Jdsy2OoxXar6Rzx7CfxZK/EO40Sz1KBtQ8Ms0gQbpbZ+ZYx3Ix99PcDI7juf0O/wCCVXjU6D+0BfeEJn2xa7pkihf70tswkQfgnmGvyzxqy9Y7hnEqO8EpenK03+Fz3eGa3ssdC/XT7z+ia12sdoPIr5z/AGp/2e9W+NnhbSvEXw/u00zxz4NvBqvh69f7guExvgl/6YzqNj/hnjIPukhaOcshwQc10Gna0isI7zj/AGh0/Gv8+csx2My3FU8wwL9+Ou173VmmusWm011TaP1WOOpzvRq6H5k/Fj/gpN8M/DvwH8WeBvjVp174R+JQ0i7sZfD1xBIwlubiF4le2uFBikt3Lblk3cDg8ivzY8f+HvEfhz/giz4Etr9Hig1PxX9pIORmF3uBC30cruX1BBr+lHxx8IvhN8XrOCD4meHNM8RRW7boft9tHcbP9wupK574PPevHP20/wBnCD4+fsna/wDBzwjaw293bW8d1o0EaqkaXNl80MaKAFUMoMa4wBu9K/bPD3xg4ey3E4HCYbCyoqWKp1azlPmhFRUoJQ0UlFc7l7zlJWtzS3HicvqzjKTlf3WkQeMv+Cfv7P3ir4W6R4I8LaZF4X1rw5bxrouv6Yggv7K5iUbZvNTDSbmG6VXyHyc84NdD+xH+0N4p+NPgnWfBXxZijtfiB4B1B9F8RQx4CyTR5EV0gHAS4VS3HAYMOnXqv2PPjnpX7QXwD0Hxrbts1S2gSw1m1YbZbXUbVRHcRSIeUO8FgDztIr4c+BviE+H/APgsZ8X/AAXpbf6FrPh+wuZkUjH2mK3tZC5x/EC7j8TX5rDL8yzPB5xk2dyc62DjKtGUm3KLjVhCrFN68tRTcmtuaMZLd37+eEJU6lLaWn4O33WOk/4LNwGT9lzRrj/nn4htx/31b3H+FfzS+Dv+Ru0r/r8g/wDRi1/UX/wV20eHV/2R4kknS3MOv2MivJnbkxXCYJAO0Hd1PHTOOo/mD8P6Zf6T420u11CIxv8Aa4CM9CPMXBUjIIPYgkV/UP0WcRF8IOF9VOf6P9T8v47g1j7+SP6ovgnIkXxO0OWQ4VZck+gCNmv0nk8a6O0rW0yP5Z4LEZBB9utfHf7PngMDS28a38eXlHlW2eygYdh9TwPoa9+vLTBPrX8RcfPDYzMOX+Rcvzu3+F7H23CFCrQwd39p3+R21lp72URufANyjwjk2UpPlf8AbM8tEfbBT2HWuh0zxPZ31yNMvEayvsZ+zzYDHHUow+VwPVSffFeFC6u9OnFxayNG69Cpru9P8U6P4ktxo3i2JGyRtkPA3DocjlGHZgRj2r4nMMnk488lzLuvi+fSX4PzPpqVaztHTy6f8D8vI9erP1LStO1i1NlqcKzxN2YZ59R3B9xXMCHxN4cVWs2bV7IdUcgXKj/ZfhZMejYJ/vGug0nXdL1uNm0+TLRnEkbArJGfR0bDKfqK+Ynhp0/3tN3S6rp69V/VjuVWMvcmtez/AK1KNjpd/pKzQPeNc2ew+Wko3SofTzM5ZfTcCw/vHtz15pdne25tL6JZYz/Cw9O49D7jmu9uCrDyz3rJlthjiurD4qd+dvX7vyJlRjbl6HnT2/iPS9a067si+p2tv5oMUjATRh1A+WRiPMHHAb5v9o5FemaRr2l62r/YJP3kRxJE4KSIfRkbBHt2PY1kPEUNUr7TbLVGSW63Rzx8R3EJ2TJ9G7j1Vsqe4rsxLhXS9orNdV6t6rrv0s/Uxp05U7uGt+j/AEf9fI7yiuGj1fXNDGdZT7fZjpdW6nzEH/TWIZJ92TP+6BzXXWN/ZanbLeafKk0T8q6EEH8RXi4jBzprm3Xdbf8AAfk9Trp1lJ269i3RRRXKahXFeM/h54T8e2X2PxJarKwHySr8sqe6uOfw5HqK7WiujC4urQqKrRk4yWzWjMq1GFSLhUV0+5+cPxF/Zz8W+EC+o+Hg2qWC/NlB++Qf7SDrj1XP0FQ/Dn9obxb4JKaXredTsEONkh/exjp8jn0/ut+Yr9JK8V+InwK8GePt98Y/sGoEHFxAANx/6aL0b68H3r9cyzxHw+MpLB5/TU4/zJarzaX5xt6HxGL4Uq4eft8snyvt0/r1Ov8ABPxJ8IfEC0+0eHbpXkUZeBvllT6qefxGR713dfll4x+GXxA+E2ojU2DrFE2Yr62J2+2SOUPsf1r9QdOkeXT4JZDlmjUk+pIFfLcacMYXAqniMDV56dS9u6tbr8/J9z2cgzetiOeliYcs42v53v8A5H4eftAf8iX46/689T/9Bkr+VcAnpX9VHx/58GeOR/056n/6DJX8roAHAr/UX6OH+41/WP5M/HYfFL1ECgU6iiv6QNT0j4TfFXxZ8GPHFr498GSKt3bblKSDdHLG4w0bgEEqw9CCDgg5FfS3x8/bn+Ifxy8Hf8IGdPttG06co10IWaR5yhDAbmA2puGdoGTgZOOvxDRXzuP4Ty3FYynj8RRUqsNpdVbb1t0vt0Oini6kYOnGWjCiiivoJSscspWCinqmetO8tf8AP/66ybMmz//S5+iiiv8AdA/kmzQUUUUD5wooooKSTP6Zv+Cfn7av7KPwl/ZE8I/D74k+LbTTNb08X/2m2lhnd082/uJUyUhZTmN1bgng1+pHwb+PHwY+P1heax8HdWi1u206RYp5ooZY0SRhuChpY0BbHJC5IBGcZGf4o/gx8HPHnx6+I2m/C/4c2bXepajIF7+XDGD880rYO2OMcs34DJIB/sv+GfgL4T/sTfs5R6GbhLLQvC9m91qF9IArTSgbp53AyS8jcKoyfuovQCv85/pGeHeSZVi3Ww1WpPGYmbnyXi0lKTb0UebVvlir6672d/27grO8XiKajUilSppK+t3ZetvNmt8ZP2pf2ffgHqVpoXxi8TWui3WoRNPBDKssjvGrbS+2JHwu7IBbGSDjODXlVh/wUB/Yv1RWfTPGVtcBOGMVnePjPrttziv5M/2rv2ktT/aV+OOt/FrV96R3knlWNsTn7NZxfLBFkHGQvzPjguzN3r9uv+CEt2138PPiExGMajZY/wC/MldvF/0dMBw7wr/bmYyqSrRUOaEZRjG8pJWTcJP3b+d7eeiy3jDEYzH/AFajFKGtm029F6rc/Qm8/wCCh37EmnTG21DxvZwSLglZLW7VhnpwYAa+Z/2t/wBvf9jXx1+zR448F+DvGtle6tqekXNva28cNwGkldMKoLQqASfUivxm/wCCwbv/AMNz+IVycCx03j/t1Svy+JAr9T8Nvov5Hi8Hgs+jXqqUlCoo80Gk9JWv7NXXToeZm3GGLjOrhZKLWsb2fp3P31/4Iz/swt408c3f7Tnim2J0vw+z2mkCReJr51xJKoPVYI2wD03uCDlDXd/t8eMvih+3l+0RJ+x7+zbEmo2PgaGe+1SRpRFby38Q2MrSHK/uSwgTOP3rvnCjcP0u/Yr+MXwHP7Hnw/m03UtK8OWb6RFbvavdx25S5jJiusb3D7muFkbcTuYncTk5r07w18Jv2Y/2KfBfij4meFdJt/DOneQb3V7vzJppZVtw7Lued5HZiXYKoOWdsAEmvxXP/FKtDi3F5visNKWJg3Sw0Grxi1Llblqm5K7aUU7ylurI93B8O0/7Phhac0oP3pu+r6/15I/mw+HX/BJr9sz4g2T313pNj4c8qeSBo9XuWikDRnBYLFFNuQ9Vdcqw5BNf03a78G9Z8VfsrXHwC1S8ht9RvfC/9hy3SBpYUnaz+ztKoIRnQP8AMMhSR2Br+dm1/wCC0H7Vt14h16HwF4f0zUItV1OW6soru3ubqa0tSiRw26LBPEpCLHuY7TukZ274H9DHw08c/E34kfsm6Z8QLmE6f4x1bw39q8tINhi1F7YkbYZg2MS9EcH0Oa9Tx+qcZJ4PFZ+qVNKf7tQd+WTSfvXu7K3Xt1M+FsNlsVUhhOZ3Wt+qPl79jj9g34sfsj6oPsHxUl1fQpmLXOhvpu20Ynq8bNdO0Un+2ijPG8MBivgv/grh+yNpXhTwtcftTXviLVdZ1/VNat7KWG6aEWdtZSRTlIoI0iDqI2RFXMhzliwLMWry6LwZ/wAFzfid891ea1p8b9Xa807TNuf9iJ4nH4LXkH7Rf7Cv/BQzRfgvrfxY/aD8ZnV9I0KNLu4sbzWry/mb94qAxxsrw5TfnlxgA49K+54QyXEYbielmuZ59hpVpuMZRp8jlNN/C+WMdW7atX0V9lbzcx9nUwMsPRw01Faq97Lz1bPUv2LP2+PiD+yn8E4/hhb/AAp1LxJFJeTX6XqXEtsrLcBMAILOYEALkMH5z0r9nP2Yf2t/iD+0/wCFbzX9F8E2ugXmnzeVc2GqalcxTKGGY5FP9mbXRwDgg8EEEDjP58/s8/8ABX3wYngfwr8GvCfw48TeI9a0nSLWxMOmJHcSTGzt1SR44oyzlfkLfd4HWvp9f+ClXjsnDfs+fEgf9wmX/wCIr4XxQ4QxmNxVepLI1Trzk5c7xHxa78jmlaXlaz9LP0cjxUaMIx+tc0ErW5P1t0G/tH/8FCfjV+zb8Qm8Ca/8Gp9YjkhS4tr/AE3VZZbaeNuDtP8AZuVZGBVlYAjAP3SpNr9mn9v/AONf7THj1/Bmh/BybRLe3ga4utQ1LVJYreFRwo/5B2Wd24VVyep6KTUy/wDBR7xw43L8AfiL/wCCqUf+yU7/AIeN+Of+iA/EX/wVy/8AxFfIy4Qf9n/V/wCw4e2tb2n1l2v/ADcntbX8r2v5aHZ/aP77n+tPlvtyfhflPVP2of2vvG/7L/hyz1XV/BcHiC/1GUpb6fpeoXMsxRfvyu39m7Y0XIGWOWJAUHDEfjZ+2f8At/fED9qf4IXPwtufhRqXhuL7VDfPfPcS3CotvuYgobKEAEHli4xiv0//AOHjfjn/AKID8Rf/AAVy/wDxFfLvx9/4K5eBdS8C+Lvg1r/gDxDoWs6lpd5prQ6gsUMlvJd27Ihlich1ADhsYyRyK+p8MOFcVgsTQqLI1Vrwkpe0WI+HVa8ik1Zed7v1SPPz7MKdWE4vFcsGrW5N/nbqel/8E+vjN4R+G/8AwTmFyuvabZ65ptvrdzb21zcRLJ5ySTyQgxM4Y7mAwMfN2617B+zVcf8ABRT4knSPGHxb1/w/p/hTWdMjv4JNLt1e8BuI0lgDRyx7ANrfPycHpmv5s/2SvAHwE+JPxaXw1+0f4hm8M+GzZzSm9gmjgbz02+Wm+WKZcNk8bcnHUV/SF+yB4d/Za8PfEi2074LfGzxH43u7Wwkhg0PUNaW8s0t0CruS2WCIL5QACYICg4Ar3vGbg7C5NWx1elH2lWs5VXKVBzjBSu+WM9Yxd92/LQ5OGcyqYmNKMnyxilGynZu1tWt38j0b43+Gf+Chmn69Zx/s8+JNB1HTWt83L63bpDKs+48IIYyCm3Byec5pPgh4Z/4KHahr93F+0N4j0HTtMW3zbPoluk0zT714cTRhQmzccjnOKz/2xrD9n+78aaU/xe+MniL4bXgsiILLRtY/s2K4i8xv3zx+TJvbdld2RwAMcUz9jqw/Z9tPHGqP8IfjL4i+JN6bHE1jrGsf2lFBF5qfvkj8mPa+7C7snhiMc1+NqtP/AFe9v9Xhfl+L6q77/wDP34Pna3Q+l5V9c5Od77e0/wDbdzm/2lJv+Cifw5fVfFvwh8QeH9Q8LaPpj308mqW6x3haBHkmVUij2EbVG3kZPWvGP2+fjf4M+Jn/AATfe4fxDpd5r+qWmh3Vza21zC0vnvNbyTAQq5YbWLZGPlA56V65+2D4e/Zd8Q/EefT/AI0/GzxH4Hu7nT44ZtE07WVsrOS3feu97ZoJA3mgsHJOGAwRX85H7X/w7/Z5+GXxTt/Dv7M/iSbxR4efTop5LyeaKdlumklV498UUK4VFQ42556nt+xeDXCGEzmtgK1aHs6tGUaqlGg4Rko2fLKekZXa0a89D5vibMqmGjWjF80ZJxs53av1S3R9h/8ABMP4zftbaHe6p8HP2ZfDej6vFqFzHf6je6utwIbJSoiDSSQzRgKQvChXdiDtBwcfaf7Wv/BQn9uD9kT4jL4I8aeHPCt7Z3cfn6fqUNrfLBdxjAfaDena8bHa6Ekjg/dZSfxE/Zg/aM8afsufF7Tvip4OYyCA+Te2hYrHd2jkebC/XGcAo2DtcK2DjFf1m/FP4b/Bn/goh+zBbtZTrLYa3bi+0jUAoM1ldgFQxGeGRt0U0eeRuXIOCPqvGnCYDJ+KKOZZzgKdTBV9JSs+dT01bvukrpKycb6OSuvP4YqVsTgJUMNWcasdUulvL+t7dD5q/wCCcX7evxW/bE8VeJ9C+Iul6Tp8WiWlvPC2mxzozNK7Kwfzp5QQAoxgCq//AAUb/b6+LP7HvjTw34b+HWlaRqEOs2U1zM2pRzuytHIEATyZ4gBjrkGvmr/gkP8AC3xl8Ff2ifit8LvH9t9l1bRrWzhnQHKt+9dkkRv4kkQh0PGVIOKof8Fefhd41+NH7Svwx+GXw8s2vtX1bT7mKCIHAGJtzO7dFRFBZ2PAUE18FHhDhz/iJLwXsofUvZ89r+5b2PPzXvt9q9z13mON/sT2vM/a3t5/Fa36Gl+y7/wUm/bb/as+K1r8MfA/hnwtApUz319Ja3zQ2dspAaVwLwZOSFRMgsxAyBkj5l/4Ki/Fj9sjU7HTvhJ+0p4X0fTtKtNQ+3adq2jR3Jtrx0ikjwss00gHyyEtGypIOCRtwT+1P7P/AMD/AIL/APBOf9nS+1LxHfxRfZ4he69rEgw1zOowqRr97YpOyCIZJJ6F3JP8zP7a/wC2L4y/bA+JjeINQ32Ph3TS8Wj6aWyIYieZZADhp5cAu3bhQcLz9v4TYbAZvxbPG5Bl9OGBoaKo1JSctdYu+7vs1ZQ1dpNX8ziCpVw2XqnjKzdWXTS1vP8Az7+R8qeC/BXi34i+KLLwV4G06fVdV1CQRW9rboXkdj6AdAByScBQCSQBkf1H/sL/APBPfwN+x54dk+OPx2ubOfxXDbtNJcSuos9Hg25kCSOQpk25Ek3AAyqfLuZ8H/gjRafBO+/Z9u9e8J6Tb2vjCyu5bPXLxvnuJVY+bbsGYkpC0ZC7FwpeNjjPNffnx88G/s2/Gfw2ngr466jaz6XFKJmtH1aWwjd1+6ZRBcQmQKeVD5APIGea+b8dPGnHY3M6vDFOE6OHhLlqOKUqk15K6Si1suZcyabdnyndwrw1SpUI45tSm1eN9Evw3/Lofz+/8FBf+Cn2tfHF7z4O/AaebTfB2Wiu74ZjuNTHQqOjRWx/u8NIPv4BKV+XvwVsfhVqfxU0PT/jdd3dj4VmuVTUbixVWmjiPG4bgcKGxvIVmC5KqzAA/wBO0n7Mv/BITw822+fwjAV6i48Qk/8Aoy9NQ/8ACE/8EcdGOPO8Cvj/AKiEc/8A7WevruFvGDIsoyv+yslyzExi0/eUI87bVuZu7vLs7WWiSskjz8fw5isRX9viq8G+13b022Mf9qX/AIJf/A74z/BLS739mSysdE1nSLJX0qa2YG31K3YeYqXEuSZGkzujuGLHJ+YlT8v8unijwv4i8E+Ir3wl4tspdO1PTpmgubadSkkUiHDKynv/AD6jiv7MPAn7Wf7CHw/0Ww+H3gDxv4e07T4G8q1tLe4URRmR87V/hUFmJ6gDJPFfOH/BTz9h/wAF/HP4e33xz8PT2mi+K/D1o00t1cOkFvfWsS58q4kYhVdR/qpWOP4GO0gp8v4NeNGY5Ljo5PxGqnsKsn7OdSLU02+t9021fV8re9tu/iThqjiaTxODtzxWqi1Z/wDB/M/lAooor++j8lCiiigAooooAKKKKACkwKWigBMDOaMDOaWincBNo60YFLRRcBu0UYx0r0/4M2nha++KugWfjZS+lSXka3CAbtyk8LjjO44H40ptPDXgr4vC2vllvNI0zUwWUgLJLBHJkKQeMsowe1fH57xtQy54lYiEuWjSdZyt7riua6T/AJly3a7NHo5VgI4zFUcDRqRdWpJRUL+9q0lK38rbtfumeW7O1IEPeu1+IN7oOpeOdX1DwvbNZ6dPdzSW0DkFoo2clUJHHyjiuPr1+GeIaWaZbh8zw/wVoRnG+9pxUl+DKzrKquAxlXA1/jpylF+sW0/xQ63muLOdLm1kaKRDlWU4IPsRX0/+zH8Q9J8LfH/wl411R1sLiz1GITTKNsUsMp8qUOBwrlHb5h8p7gda+XqfFI8MizRnDKQQfQjpW+b5bDGYeph6m0ouPyaszjw9d05qa6O5/aLqFvJFOSw46Z9xWfXJ/AzxrD8QPgl4U8bzMHOpaXavKev7wRhJM+5YEn616dLognXzbJhz2PT8DX+WtWo8NVlhq+ji3H5p2P2HE4F1P3tLW+tvUzbHU7zT33W7cd1PQ/hXpOjeKrG8IiuT5EnuflP0NeVzQTW7+XOpVvQ1FXNjsro4mN3v3Rz4XMKtB2W3Znjnxs/ZC8bXHjO8+OX7IXir/hX3ja/Uf2hGYxLpOrMAdr3lsVZfOGeJgjE/xKeo8e/4J/fsS/Hb4M/Gbxr+0j+1BrNrq/izxRH9mQ20nnfK0gkllZtqqu7Yqoij5VyDjgV9y6T4m1XSCFhfzIx/A/I/DuK9i8N+I4PEEMhSMxPFjcCc9e4P4V6eYeIvEOEyWvlDcJU6kYwlU5I+19nFpqn7T4uS6WjbSSsrLQ9zBVMNXqxlqpLW3S/fsfBf/BV/T/t/7FWtzYz9lv8AT5v/ACN5f/s9fzMfBLRvFPxA+JPh74ZaEgupdW1CC2hjkBfy2kkAMiEcrsHzHaRwOa/qp/4KP6T/AG1+xT46tgMmK2t7ge3kXUMh/RTX5Uf8EXPgSPFXxT1r47axDutfDMIs7IsOGvboHcw94oQfoZFNft3gdxlSyjw+x2Oq2bp1Jcq/vSjBR/8AJn91z5PijLZYjN6VKP2kr+ibv+B/RjpPh+z0HRbXQ7FR5VnCkK477FAz+PWqV9ajniu18vPFZV3bhs1/E9HGSc+aTu2fpnsko8sTybULXGcCuWniaNs16nfWOQa5W708kmvs8DjVY86rTZe8K+OLrSXWz1EmS2PHPLJ9Pb2rtPEd94TvlW8ilP20DEc1u2yVR1wWH8P+y2QfSvIJLFkyR2qFVeFsms62TUalb29N8r8uv9fiJV2o8kldHtdjrTShfOcs+Bljjk+vGB+QrqIbpJRya8EtNSkjIFdnp2t9ia8PHZO4/CjspYhPRnpckavyOazZIyvQVFZ6mkqg5rTOyUZFeC4yg7M6k7mfDcSQNlDj+Vc7r9pbWFhdeJNBY2V9AjzER/6uYqMkSR/dbPrjcOoNdJLCR0qieODXRQqcs1JfPzXZmdaClGzO0iYvErnqQDUlc3a6o8eI5fmX17iq/i3xhpvg/wAOy+J75Wkt4Cm8R4LAMwXOD6ZzivJjgas6qpQV23ZerN51oxg5yeiOmuLm3tIjPdSLEgwCzkADJwOT6nisbxV4gt/Cnh288SXcbSxWURldUxuIXrjPGa8x+L+rWGvfBHUtZ0t/Nt7q3jljfBGVaRCDg8iuNtbm4u/2VpLi7kaWRtMlyzksThmA5PoBivocu4cU6NPEVXvVVNx+Sf8AmjysVmlqkqUP5OZM+g/DXiLSvFmiW/iHRXMltcqWQkEHgkEEHoQQRW5XjP7Pv/JI9I+kv/o169mrxc7wcMPjKuHhtGUkvRNo78BXdWhCpLdpP70Q3Fvb3cDW13GssbjDI4DKR6EHg1IiLGoRBhQMADsKdRXm8ztY6rdT8Mfj9/yJvjn/AK9NT/8AQZK/ldr+qb48xPP4S8bQRDLPa6koGcclZMcmv5Yruzu7CdrW9iaGRequCCPwNf6+fRwkvqVeN9bx/Jn89U170vUrUUUV/SEp9i5T7BS4OM1IqAcmn4rIyIAMnFSBAOtSKpY4UZPtVyPT7yX7sZH14/nUymluyZTS3ZSorbj0SY/61gv05/wqb+w1/wCen6f/AF6xeLprqZPE0+5//9Pn6KKK/wB0D+TmgooooFyoKa7rGu5zge9ZV3q0UJKQ/O36Vz091PctulbPt2rto4KUtXojaGEb3P7MP+CYnwF+D/wy/Zs0P4j/AA9calqfjCyivNQ1N1AkL8hrVeTsjt5AyFQfmdSx7AeR/wDBbTUL6y/Y4tbe0meKO78R2MU6qxAkjENzIFcD7y70VsHjcoPUCvxt/Yd/bO+Nmia38L/2TdBvhZeHZfG1jcXEsWRcTW9xdwFrMtn5YDJvdwvLlyrHblW/YT/gt/8A8me6b/2M9l/6TXdf55ZjwJmOU+JuCrZnV9o69Zyi93yKTUb9E7Wslokltsv2vD4+jVyapChGyjGz9bakP7HP7a/7E/gP9l3wN4O8d+LdKs9Z07SoYLyCaCRpI5VB3KxETAkfU1+j/wAEfjr8Cfjlp9/qPwN1m01i30+RI7trSNowjuCUDbkTJIBx1r+BnP51/TF/wQXJPw5+If8A2ErH/wBEyV9D9ID6PeWZRlGL4ioV6kqjmnytx5ffmr7RvpfTUw4Y4orV68MLKKtbfW+iP1C+LH7XX7Ivwj8az+CPi54n03TNct0jeW3uYZHkVJFDISViYcqQRzX4o/8ABXL9pn9mb44/CDwvoXwP8QWGsX9nrDT3EdpE6MkP2eRdxLRoMbiB1r5J/wCCw3/J9PiH/rx03/0lSvy+r9A8Dfo9ZZh6GXcTxr1HVcIz5bx5byjqrct7a6anl8RcUVpSq4NxVrtX1vo/U/fD/gkZ+wFc+LtZsP2r/i7aAaNYuZPD9nKMm5uY2wLx1PSKFgfKB5aQbuFUb/0Z/wCCiv7OH7WH7XUWm/B74T3Ol6H4MgK3eo3OoXUiPe3IP7uPy4IpW8qEfMA2A8hBx8isfym/Yj/4Kg+L/gB+z9a/ArR/Ad7421PTby4ayaCdo0jtrhhKEZUhmdmEzSnAAGCADxX1Qf24v+CsXxNOz4ZfBZdHt5fuS3unXitg9CJbuaCIj32Yr4Hjzh7jSfGFTPqzowjSbVF1ZwUIxV+WSi5X5rattfFqtlb1MtxWXrALDR5m5fFyp3b6q9v6R6X8CP8AgoH+y5+x98GrD9nf4o61NdeKvBFxfaJqMem2E7o8ljeTQI6yOscbB40Vgd5ODg4IIH6jfs7/ALQHgP8Aac+Fll8Xvhwtyml3ss8KpeIsc6tbytEwdUd1GSu5fmPykE4OQP4pfiD8G/2ivFH7Q3iDwF4h8OXd/wCPLq+kutRsNPjW6dZ7s/aHP+jGRAv7zJIbaucEjBr+pL/glV8Bfjv+zp+z7f8AgX442MOnSXOqPf2Nss6TTRRTRRq6S+XujX5k3AB2OWO7HSvm/pAeFPDuV5R/bGHxXNi60lNrni1JTu5OEUk+W7TT193qdXDOdYqtX9hKFoRVtnpba77nI/Cz9vf9on9oX46638FvhP8AC+30+38MajPYavrep38ktra/Z5WiYlI4Ii0rFDshWQs3cqoZh4T/AMFd/jb+1L8I/B0/g/zvDVz4B8axSaaNsMiaqjbMyKySXLh1HVZoo8KSFcKSpf74/au/ay+B37BvgOTV7+wjbV9enuruy0mxRYpL67dg888zhdqLvcGWVssc/KGPFfjZ+1Z+xl+0V+1D8E7H9vDxJ4qtri7udBOtXmh3Ya3h0+wCNcpHYvllKiEqxSQKzNuYuzNivP8AC7AZVUznB53icJTwmBb5Ic/PN1ai6pttpqS+LSEfh1dzXOatZYeeHhNzqbu1lZf8N03e58s/8Eff+T7PDf8A15al/wCkklf0Vft2/twW37Enhrw/4iufDTeJBr1zNbCNbsWnleSivuyYZt2c4xgYr+XL/gnt8dfAP7OH7UWjfFj4mSTx6RZW17FK1vGZpN09u8aYQEZ+Zhn0r+oL4H/txfstftleNj8OPAmn3etXdnbyXrm/04eRBEpVCzPIWClmZVAAySfQHH3H0l+G63+tlLOsZgJ4jB06S57Nxjo6mjmtrNp/h1PP4SxS+ovDwqKNRy069uh+b/8Aw/00v/olkv8A4OR/8hVND/wXx0aR9svwvlT3/thSP/SKv0v/AGnfj1+yB+yNFoz/ABj0a0hbXTOLSO00yKd2Fvs8xmAUbQPMUZPUn2r034E67+zr+0X8MbD4t/DXw/YyaPqTTJC1xp8MUhMErQvlCpI+dDjnkV+XYjM+DqeXwzWpw1UVCbtGft6vK3rons3o/uZ7KoY6VR0Vi1zLpyq5yv7E37W9v+2T8MNR+JNtoLeHl0/VJNN+ztci63+XDDN5m8RRYz52Nu09M554/mN/4KXf8nx/ED/r6tv/AEjgr94NT/4Kt/sNfCnxBqngGIX2nz6Zez21zFaaZsj8+BzFIRsIDcpjdjkAV+TX7c37MXx0+L/xD1T9sH4Z+HbnWvBHjG2tdWs57UeZcRWzWkQDT2o/fJwpbIVlC8lq/QfAjLP7G4pr47G4V4PD14ONJVG7NuUGoqUrczsm+587xhKWIwEKVOftJxd5WXk9bLY9w/YS/a4/ZX8L/Bzw18DPE3wy1Pxj4zhe6EjafotjfvP511LLHteWZZWCRuqksoC4x90Zr94fDGgfC3wV4aPxOTwdbeEZobV5p0Flarewx4yyN9h84MxA+5G7ljgAE8V+FP7Gn/BSX9nj9nP9l1tE1zwykXjPTZPswg0u2SFtVTBMVxcXO3ClfuSly7cBlVslV/ZL4Z/tB6/49/Y+T9pO5sLe31CXQ73Vls1LtCrW6yskZJO4jCAMeM8kY6D858c+H8fDMquIWEnSpVKzjzSqN+0lJuXuraMGttGlor6NHrcKYyi6EYOopSUb2UdktNe7+4+UfFn7en7Pfi7UBceLPgv401uS3BiinuvDME52Ak/IZptwUnkAgdeQDTvCH7eP7PPhTVBP4U+DHjPQpLnEMtzbeGYIcRlgTvME28oD8xABPHAJrwz9lP8A4KJfti/te+N77wR8OvC3hWzfTrM3lxdX5v1t0XeqKhaJpDvctlRjkKx7GoP2qf8AgpF+1V+yV4/tfhv440Xwdqmo3Nkl8f7NfUHSKOR3RVcymIhzsJwAeCD3r1f+Ia1Xjf7BWBXtuW/J9ad7b3ty28zn/tyPsvrftfdvv7Pr95+uvinwt8MPGOh/8LDuvCNp4rnktUlgVrO1e7njxuREN55QU4PCyOmDkHBr8JP24/2vP2U9b+EPir4FaJ8MNT8IeNJxbxwtf6LYWLQNHcxSuS8czSqGjRgrIpDZH8JzX7K+Lv2hdT8G/sgr+0xc6bFd3cfh+01qWxV2jjZp4o5HjVyHZR85CkhscZzX48ftsf8ABRr9mn9of9lr+yvC2hR3fi/U5RbC31W0V5tJTG6W4hnwyktjZE0bhvm3Mo27T4ngfkGPnmlKrPCVKtKFVR5o1GlTlFp+8tU4Lrok9k+h1cVYyiqEoqooycb2a3T008/v9DyP4Kf8EefFvxn+Evh74rWfjm0sIvEFjFerbvZSO0QlXO0sJQCR64Ffob8D/wBg/wDa6/Z4+F2t/Cj4X/FjT7Ox1mVZ1mfTJJJrNypWVrUtPtjMo2hiVbG0FNrZavxt+G//AAVF/au+FPgLSfhv4RvNNTTNFto7S2WWyR3EcYwu5i2Scd67b/h8L+2j/wA/+lf+C9P/AIqv6B4u4J8SsyqVKFStQnQ57xjKMHZKV43vTeq07+dz5DLs0yOgozjGanazab7a/aP2v/Ya/YU8Zfsn+N/FXjjxn4vXxVdeJoYkkkMMiS+YkjO0kkkkkhcsW5J5z3p37bH7DPjv9qD4k+FfiX4B8ZL4RvvC8DxwyrDI8wlaQSLJHJHIhQrivFv+CX/7a3xz/ar8X+LNG+LlxZzwaRZ201uLa2WAh5ZHVtxBORgCq3/BT79tr46/sreOvC+gfCS4s4bfVbCa4uBc2yzkukoQYJIwMdq/AP7J4yfHbwvtaf1/ltzWjycvs9rclvg0+E+w+sZb/ZPtOV+xvtre/N6338ze/aP/AGDP2r/2pfDOg+E/if8AFLTTZ6JGN0drpksK3dyMj7VcKJypl2HaNoCL8xVV3Gvz8+L3/BG3xd8JfhX4j+KF147s72Lw9ptzqL26WMiNKLaJpCgYykKW24zg49K8l/4fC/to/wDP/pX/AIL0/wDiq5Hx/wD8FTv2s/iV4H1f4eeKL3TX03XLOaxuljskRzDOhjcKwbIO0nB7V++8J8EeJeWOlhqVehCgpXcYxitG7ytamtXqfIZjmmR1+acoyc7btvtp9o8L/Yw+CeiftHftF6B8EvFF9dafputi7M8tmyiUfZrSa4TG9WQ/NGAcqeCcYPNfuh/w48/Z6/6GzxF/31af/I9fkt/wSp/5Px8D/wC7qf8A6bLqv1s/4LL/ABX+KHws8H+BLr4ZeI9U8Oy3l5fLO+mXc1o0qpHEVDmFlLBSTgHOM0/GDPuI6nG2E4eyXGOgqtJPZNXTqNt6N7RSDhvCYKOV1MZiqfO4y/D3f8yL/hxz+zwf+Zs8Rf8AfVp/8YpP+HHP7PH/AENniL/vq0/+MV+Cn/DXn7V3/RTfFf8A4OL3/wCO0f8ADXn7V3/RTfFf/g4vf/jtel/xC7xE/wCh4v8AwH/gGP8ArBk3/QL+P/BP3r/4cc/s8f8AQ2eIv++rT/4xX5X/APBQ/wAc/Ff4e+PZP2MbnxXqGs+DvA8Vmlkt2UE04mtYbhTdNGqCYw+Z5cW4YRFGPmyT+q3/AARo+K/xQ+Kfg/x3dfE3xHqniKWzvLFYH1O7mu2iV45SwQzMxUMQMgYzivyT/wCCq/8Ayfj44/3dM/8ATZa1894V4rOZ8c4jI+IcQsT9WpucW4qym3T96Ol0+WbR25/HDLKoYvBw5Od2eu610fzR+dVFT4phXiv7MPzdO5HRUmz1puBmgY2ilwT0o2kdaAEooooAKKKKACiiigAooooA09EvW03WbTUE6wTRyD6qwP8ASvT/AI5xW1r8XtS8shVuJI5kHTKyIrDA96+KPjP4j8S6GtpZ6eXtre6R2Eq8FyhAKhu23IzjrmvS/jk7az48+GnjVCWXWNHsC7eskBMTf+gj86/J/GvBcnD2OxDeksLil81Scv8A21nZwJlTh4iZDiJOyqT5Pnz0pr8IyO0vXMl5LIf4nJ/M1Vr5gtPFHiWx+KlzpWmM86XeoND9nPIbfJtGB2PuPxr6khgmuJlt7dC8jkKqqMkk9ABXteE2CeH4QymLf/MNR/8ATcT7XxVw0ocR4+T61qr/APJ2Y2ta1pPhzSbjXdduEtLO0QyTTSHaqIvUkmvhe6/4KT/BPQ/E4tYNG1DV7GNtpuBshjJ/vhGO9lHXB2E+3f239vDQI7b9mDxBZxSmTUI2tpZhG3yRRpOm5SR99j3AOB7np+DvwS8M6B40+MnhTwj4rmW30vU9Xs7a7kYhVSCWZVkJJ4ACk5r8M8fvGjM8gxEcPl6tHk53K13LV6RXbTtd30aPkstwDr1Y0lvJpeWump/pPf8ABK74wxfFr9md7DzhK2lXJMOBt/0W7QTwELxtXllUdgtfota3tzZtugbHt2Nfi3+wN8VPBWj/ALWes/D/AMHCODRdb0qK0tViG2Iz6cgMewehQSKvrkfj+0FzH5Vw8foePpX83ZzXxGMnSzLG4V4eWKpU67pSWsHUinKLWmsZ3WqT01SZ+rZlhI4WpLD0KqqKlKUOeO0lF2TXk1r/AJnZ2mt6bqCC21NApPc/d/PtUt34OjnXztLkAz/CxyPwNcBWlp+r3+mPutJCB3U8qfwr5epltSm+bCyt5PYzhmEJrlxEb+fUjvdNvtPfZeRMnoT0P0PSuz+HVx5erS256SRn8wQa6Hw74hTXg9ndxAMoyR1Vh9DW5ZeHNLsdSXU7JTG6ggqD8pyPSvEzPOW6U8NiY2lbpqvI9DBZavaRrUZXR5L+1toR8S/sufEHRYkLyS6DfGNRyTIkLMgH/AgKxv2DPgpB8BP2YfDPhKWHydSvbddT1HIw32m7USEN7ou1PouK+lriC3vLZ7a6QSRSKVdWGQQeoI71pWN0HGTXi0+JMRHJpZPH4HU535tR5Uvzf3Hu/UofWViHva343Ok69Kjki3DmmxPu4zVsDcMHqK+Rd0zvaOduLQNxWLPpynPFdyYQ3Wq0tsCMV20Mc4mcqdzzS50xQOlc/dads6CvWJ7TIPFYV3Y5HSvdwua9zlqUDymSAxkkdqIbqSJs9K7STR5Lq4W3j+87BR+NegyeBdAksRaGPa4GPNB+bPr/APWr0cVntGkkqutzCGElLWJ5fYavJGBk13en6uHADGvLNd0e/wDDt4be6G5TyjgcMP8AH1pllqjRnrTxOWwrQVSm7phCu4vlke8pMkyZ61XmgUgkCuE03WwQAxrtra+im4zXyuIwc6TO+FVSKToV6V5d8Z1kPwp1d/4VEY9iS4r2h4RL93qa8z+PNutt8H9TjHXEZP13rXocP11/aGHj/fj+aOLNof7LVf8Adf5HIaz/AMmrR/8AYNt//Q0qLTP+TUH/AOwZN/6E1S6z/wAmrR/9g23/APQ0qLTP+TUH/wCwZN/6E1fVw/3df9hf6Hgf8vf+4J6B+z7/AMkj0j6S/wDo169T1rUl0bSLrVnTzBbRPKVBxnYCcZrxD4Ra3H4b+Adpr80ZlSzhnlZFOCQsrkge9dnc+LdI8b/C6/8AEWiMxgmtJwN42sCFIII9jXx+eZdUnmdaq4+57Vxb83J6fce5l+KjHCU4J+9yJ/gdD4H8aaT4+8Ow+JNGDrFKSpWQYZWXhlPbg9xwa66vnn9mH/klUH/XxN/6FX0NXlcSYCnhcwrYal8MZNL0TO3KsTKthqdWe7SZ+Gfx8QyeD/HCL1a01MD8Vkr+ZexutWS3TTtWjjvbROFjmPKD/YcfMv0Bx7V/Tb8df+RW8a/9e2pf+gyV/M9X+p3gFUtga0bdY/kz+e8RiZU5vl7sePAcGsHzPDVyC5/5dZjiYf7jcLJ+GG/2e9YDeG5LaQw3LMjqcMpXBH1ya9A0nR4Db/2zrTNFZKSF2/fmYfwR/wBW6L9eKp63rV3r199tusLtURog6Ii8Kozycep5Nfu1LMK3O4J3S6/p5/p5nPPEzavscimjWi/eLH8atJp9lH92MH68/wA6uUVvKvN7s5nWk92NVFQYQAD2p1FFYtmYUUUUAf/U5+iisu+1OO2Bji+Z/wBB9a/3Tp03J2ifyjGLbsi7cXMNsm+U49u5rmLzUprn5F+VPQf1qjLLJM5klOSajr2cPg4w1erO+lQUdWFFFFdhufTP7F3/ACd78L/+xq0n/wBK4q/qv/4KMt4QTwj8MH+IBsxoQ+I2hHUDqHl/ZPs2LjzfP83935W3O/f8uM54r+M/w94g1zwnr1n4o8M3ctjqOnTx3NrcwMUkhmiYMjowwQysAQR0NesfEb9pj9oH4v6Cnhb4oeMtW1/To5luFtr66kmjEqBlVwrEjcAzAH0Jr+f/ABN8HcVn/EGCzalWUIUU01rza31j00v1Pp8oz6GGwtShKN3L7j+uv7f/AMEtP+e3wr/760T/ABr0LwV8a/2C/hrbz2nw58XeAdAiumV5k02/0u1WRlGFLiGRAxAOATnFfwxZA60mVr81xP0PqFaDp1s0rSi+js19zZ60OO5Rd40Yo/t/8VfED/gnF471mTxH441v4bazqMqqr3V9c6PcTMqDCgySszEKOACeBXyz+1je/wDBOd/2ZvHifDuX4cHXTod79gGnNpH2v7R5TeX5HknzPM3Y27Pmz0r+SbIpa9LJfoo08FXpVqeZ1Wqbi1Hp7rTtvtpYyxHGrqRlF0Y6n9f37P8A/wAFFP2QvAP7MHgZviF4y0/TtWh0SzivbK2jkuJ1uYYlil3w20cjIzOpb5gODk+tcH41/wCC3/7KOgb4fCWla/r0oztdLeK3hP1aaYSD/v0a/k7LgUoOa9Gn9EPheWKqYvFTqTc5OVuZKKu72Vknpt8RmuN8ZyKEElZdtfzP7R9J/wCCh/7D3hn4XWPxnvte03RbjxTAt/cafbIs2ptcY2OlxDbK0hkRlMfmSAKduQ23mvzn+IP/AAXYU/EjTLb4YeEMeE4LtP7Qn1Bs31zbZw/kRRv5cLgcrveTJAB281/OjRXTw/8ARL4WwlWdbFqddyvZTlpFPRWtZtpaXbfdJDxPGmMmkoWj6dT+7HxJ4I/Ze/b2+D+l6nrttaeMPDN0y3dnNHJJFJFKBhgJImSaKQZKyRkqf4WHGK+If+Cvfx28M/BX9lRfgX4XlittU8WCGwt7SEhWg0y3KtM+wfdjIRYAD1DnH3Tj+XX4d/GT4t/CK6lvPhZ4m1Tw7JPjzTp13NbCTb08wRsocD0YGud8ZeOfGXxC1+bxV4+1a81vU7jAku76eS4mcKMAGSQsxAHAGcAcCvk+E/op1cvzqhiMRjnUwlCbnCm07qWjV1flWqTk0vetsr6duN4xjVoSjGnaclZvy/P07H7efsMf8Et/2cP2nfhPpfxg1Px1qeoq7GLUdMs4YbR7W6jwZLeR3NwSOQyuApdGDAKTgfs5aQ/sYf8ABOH4YSwxSaf4P06T964d2mv76Rc4wCXuLhuuAAVQZwFXOP41/hl8f/jX8F7LU9P+E3ifUfDsWsKi3gsJ2haTys7DuXDKy7mwykHkjNeb+IPEmv8AirVZde8U39xqd9cHMtxdSvNK59WdyzH8TX0PGHgDnnEWZVFm+bSeC5rxppJO29na0LrZScZO2u7ZzYDiPD4akvYUV7S2r/rX8j7A/bx/a/1T9sj42yeO47eTT9C02H7FpFnKQXjtwxZpJNvy+bKx3NjIUbUywUMf3+/4Is/GXwb4q/ZYi+EVvexLrvhe9u/OsywEpt7qY3EcyrnLIWkZCR0K4OMjP8khYmr+k6vq2hX8eqaJdTWdzEcpNA7RyKTxwykEcehr9B8QfA/AZzwzT4bwkvYwpOLg0r2cU1qrq903d3vd31OHLM8qUMU8XNcze5/V98Sf+CKfwG+I/wAV9X+JNx4n1qxt9bv5tQuLGAW5CyXEjSyLFK0ZKpuY7QysQOMnrXvf/BQH4z+A/wBk39jPUfBWhzxWV3f6YnhzQ7FXzKInjFszoCd22CDc2/oGCgnLDP8AI5/w0d+0IEEa+O/EQUDGBql3jHp/ra8w1zxDr/ie/Oq+Jb641C6YbTNcyvNIQOgLOScc+tfl+F+jfneNxmEqcSZp7ejh2nGHJa9raN362Sbabtppe560+JMPCnOOGo8spbu5+zv7E/8AwTU8EftffCYfE2D4gyadcQXUlne6dHpyyNbyJhkxKbkblkjZWDeWOSV5Kk1+yXw6/wCCdUPgvwfH8P8AVvir40v9Bit2tRpcF7HaWRgkBDxGNY3bYwYggOOpr+T34H/tJfGr4Fx6hpXwq8S3ugRav5f2n7I4XzDFu2ZJBIxvbBGDzXU+NP2gPjr8R4WtfH3jLW9YhbrFeX9xNFz2EbOVA+grfj7wo4vzTMakf7UjHDc14J04uUV/4DHVapPmvbd3PDwWc5fg6aToNztq7tJ/i/mrH9P3iD9oX9gr/gnT4IufBvw+Nmb7eDJpOjyC8v55gMA3UzOxTb6zSAgcIp6Hy2L9s3/gl3+1jKn/AAuHTLGy1SZRHv8AEOnrFOAOMC+h8xUUdszL9K/lzKg0myuHCfRgyyMXiK2NrPFN3dVTtJv8dPVt+ZNTjyu3yRpR9n/La6/r+rH9ivin9kT4OfH74Zt4X+GnxF8QW3hea1SzS20fW/t+mmBFCpEUnNyDGFAAVXXAAxiv59/28/2GvDv7GNzo0Fj4zHiC411pXisXtPInhgiwDK7rLIpBYhV+Vdx3YHymvhfwr4x8YeBNUXXPBGrXmj3qfduLGeS3lH0eNlb9a2/iT8U/iN8YfEEfin4oazda5qMVulqlxduZJBDHkqmT2BYn1JJJ5Oa9rw+8Ks+yDMU45n7TC6uUXBKUnbS8nzPfVu6bta2unLnHEOExlH+By1Oju7L5afkedUU/b60bcHBr+hLnxx+7P/BC/wD5KJ8QP+wdZf8Ao6SqX/Bc3/kqvgX/ALBNz/6PFfjl4C+KvxQ+FNzc3vwx8Ran4dmvFVJ3026ltWlVCSocxMpYAkkA5xTPH3xU+J3xUvLe/wDid4h1LxDPaIY4JNSupbp40Y5KoZWYqCeSBxX4THwlxP8Ar0+LPbR9ny25bPm+Dk3231PrXxFD+yf7P5Xe+/Te5wFFFFfu58kfob/wSp/5Px8D/wC7qf8A6bLqv6jv2gPiN+zX8O7DTLj9o640m3t7qSRbE6rAs6l1CmTywyPg4K56dq/iN8GeN/GHw58SW/jHwHqdzo+q2m/yLu0kaKaPzEaN9rqQRuRmU46gkV1vxG+Onxl+L9va2nxT8Uan4hisWZ7dL+5knETOAGKBycEgDOOuK/mzxT8BqvE3ENDNJYj2dKEFBqOk9HN3i7NfaW/S59vkHFscDgpUFC8m7q+3Tf7j+qj/AIaZ/wCCXv8A0EvCH/gvj/8AjFH/AA0z/wAEvf8AoJeEP/BfH/8AGK/kBorx/wDiVDLf+g+v/wCBR/8AkTp/4iDW/wCfMPuf+Z/c3+z/APEb9mv4iWGp3H7ONxpNxb2ska3x0qBYFDsGMfmBUTJwGx171/Lj/wAFVv8Ak/Hxx/u6Z/6bLWvkj4c/HT4y/CC3urT4WeKNT8PRXzK9wlhcyQCVkBClwhGSATjPrXJeNPG/jD4jeJLjxj491O51jVbvZ593dyNLNJ5aLGm52JJ2oqqM9AAK9jws8BqvDPENfNI4j2lKcHBKXx6uDvJ2S+y9uljnz7i6OOwUaDhyyTvpt12+85aiiiv6TPjI3CiiigsQjNM2kjmpKKAI9mKZg1PSYFAEW31o2mpqKAICp60YNTEUEUAQ49aMelSkelNweQKAP1c/4J+fs/fBP9qv4T+N/hJ8a9HTU4LO6tL60nVjFdWjSJJE7wSrym7C5BypwMg4FfTviX/gjb8C9e07wtpFn4r12ytfCRl+xrttpXZJHDhJHaMEhSOCAOtfOv8AwSD8Rmx+MPifwru/5CWkrLj1+zSg/wDs9f0C1/AHjzn+Z4TO8XlsK0lQqx1he8Wp0+Sej25k5J2tv3P13hHB0JwwmYOP73Dz54S6xkrpNfJta3Wux+Rmqf8ABOz9mr9k/wCD/jr4seEbGfWPFbaReRxanq0iSNbvdr5JaBAqRwn959/lgM4I5r8KZtSs9Aiax8Pv5k7rtluwMHnqsWeVX1b7zew6/wBKf/BS/wARNoH7ImtQI206neWdljPJDSGU/h+6r+X2v2z6NcMRXyWdbFTckpKEU23aMIxUUr9FfRbHgeIONlVx3PPWTu2+7k22/mfBH/BR/wAV+JvBPwd0fQEtpra28X3EqrO8bKk0NkUaVY3PDbXeMNjOM471+G3nva/6TGxVo/mBHUEc5r/RU/b/AP8AgiV45/4KJfsOfArTfhZ4gsPDnjL4faXKyQ6sJRZ3MWrpDNcxs8KSPHIJIkZG2MDyDjO4fnH+xV/wac/GHTvjLpXjD9tbxXoh8IaRdJczaRobz3FzqPlMGEEkskUSQwuRh2BdyuVCqTuH8geK/iPHOc7r4qo7KDcIq9/di2k/+3vi+ZnHhHFxlGFON00nf1Wv3H6Jfse/8E0/2hNF+Efwc/ay8EarDqGr3Gk6Nrl/pF5m3uQZoI5ZkjlJMbsyscB9g55NfuLrMTJchmQxkjBRuqkdj7jpWZ+3F+0pr37F3wZ0Xxv4A0Oy1C0j1CDTXspS0KR2xhk2CEx8IVKKoBUgL2r5c/Zs/be8Lftk3mrQW+j/APCOa5pyJO9k1wLhZo2yryRPsjPykDcCvGQc817EMZxRn+WU89zGCqUKV4e0XLzJXStJJpuz2duruz6uvhMFhW8FRdpuztrr6f5X9D6fopWVlYqwwR60leSeU0db4Lm8rWtv99GH9f6V7NHJ6V4L4fl8nWbd/Vtv58V7VHLXwHFVH9+pd0fXZDU/ctdmbiPng1n2V1iZ4z/CxH60iS571zk139m1eRe5Ib8xXzuGo3vE9qpPqeq2c+4ZFbkLZUZrgdMvAcH1rrrefIBFeXiqLizeMjZ2g801kwPamRyVOCGFcLbRummUZEHSs6aEEc1tOBnFZGq6hp+iabcaxq8qwWtpE880jHCpHGpZmJPAAAroottpRM5pI+G/2lPjB4Z0bxVZfB6x1aGDXZYk1F7cSbJvK3ERFehyWUnA5GAehFXPh3+05r2iNHpfjlDqFqML56jE6D35Af8AQ+5r+Vf9pb436v8AHH9oHxF8YFnkT7bfO1iQxVoraI7bdVPVdsar06GvePgp+3T4u8I+VoPxRR9b08YVbkEfa4h7k8Sgf7WG9+1f3zW+jY1klGnKKnPlTlHaSk9Xyvy26bdT8NxfFVdY2VehKy2Xay7o/r1sdV8IfE3QPP0m5S6gfoyHDxt7g8qR6EV4hr2h6h4evDa3Yyv8Djow9R/UV+cnwl+NGj+I7RPGXwn1sSAAbzA+10z0WaM8j6MMV98+C/2ivDviu2Xw/wDE+BLeQ8LdIP3ZPqw6ofccfTpX80ZjwLmGS1ZKknOmt4tWnH5dfl9x9tl/FmHxaUa/uT79H/l8zTttQeI4JrtdM1xlYbjVmf4atfot94bvYri2kGUYnOR7MuQa3NM+FkH2WSLWrl2aRSoEDFNue4brn/PNfMY7NcBKF5S17W1+4+lpUKyeiO+0NJZLcXUwxu5Ue3rXmn7Qn/JJtU+kf/oa17OihFCDoBivGP2hP+STap9I/wD0Na+U4bq8+bYeX9+P5o6s3VsHVX91/kcPrP8AyatH/wBg23/9DSotM/5NQf8A7Bk3/oTVLrP/ACatH/2Dbf8A9DSotM/5NQf/ALBk3/oTV93D/d1/2F/ofNf8vf8AuCO8If8AJrcn/Xldf+jJKX4Sf8m7XP8A1xu/5Gk8If8AJrcn/Xldf+jJKX4Sf8m7XP8A1xu/5GnmH8DFf9hK/wDbh4b46P8A16/yN39mH/klUH/XxN/6FX0NXzz+zD/ySqD/AK+Jv/Qq+hq+G42/5G+J/wAcvzPoMg/3Kl/hX5H4cfHX/kVvGv8A17al/wCgyV/OFpmk20Vp/beubltckRxqcPO4/hX0UfxN26Dk1/SF8bnSPw54ykkQSKsGokoejACTg45wa/mo1HUrvVLj7RdtkgBVUDCoo6Ko6AD0Ff6b+BMZPB1UtFeP5f1/W38+41pTd+7JNV1W51e5+0XAVFUBY40GERR0VR2H6k8nmsyiiv3+EVFWRwt31YUUUVQgooooAKKKKAP/1fPb7VdwMVqcDu3+FYDMByxqg1xI3A4qAknrX++9HDKCsj+aKdBRVjRNxEO+aiN0P4RVKit+RGqgiwbmQ9KjM0h6mo6KtQHZDt7eppuSetFFaKHcYUUhYCoy5NWkUotkhkwcZpvnSdjUVFKxooInFxKO+f8AP4VILtgMEA1UopOC7A4I0lvU6MCKnW4iboawi/pTCSah0UJwR0Rk9KYT61iJNKn3TVgXhP8ArB+VQ8NIPZM0C47VFTFkR/umn0ctilGwUUUUDCiiigBQSDkdRXfaXefbLUOxy68N9a4CtfRbv7PeBG+7Jwfr2rix1DnhpujkxlHmhfqjuaKKK+cPCCiiigAooooACM8Uwrxin0U0wGbfWjZz/n/Gn0U+dgRbKXbg8VJRgdafOwIcUFGFTUU/aAQYPelI71KcmmlcmmpjTI8HGRRUp4GRUZwaalc0ixtFLSVRYUUUUAFFFFABRRRQAUUUUAFFFdbomkWo0ybxHfL9pjt22i3Q8liOGkI5WP36k8DHWsq1ZQV2VGNz6K/Y3+L9n+zt8XbT4ueJYZH0hYprOdYv9bIswGfKU8NsIUtnAxxnOK/fHSf+CgX7IGracuonxnDaZGTFc21ykq+xVYnBP+6xr+WfU9UvdWn+0XjZIAVFUbVRR0VVHAA9P61m44wea/I+OvBfLOIcTHG42co1Ere61ayvbdPvvofRZVxNXwcHSpJNeZ+tX/BQ/wDbX+F/x48Iad8LPhR9ovbe0vRe3N/IhhjcqjIqRo3zkfMSWYL6Yr8mLRrdLuJrsFog6lwOpXPIH4VFnimn1r7jhDhDB5JgI5fgr8iu7t3bb3b2/BHlZjmNTFVXWq7n9o/wF/by/ZI+K+naf4Z8G+LLWyvUhihjsdRzZzZVQoRPN2o54xhGY19nDWNIPIuof++1/wAa/wA5v4z+NR8OvhVr3jPdsksbORoiP+erDZF/4+wr+bM+NfGeeNYvgP8Ar5l/+Kr/ADp8cvBnLuHsbSp4CvKXtE5NSs2tbLVWvd36dN2fomX+IVRwtWppvydv8z/UU/4La+MLCH9nfw34as545JdQ11XKqwJ8uC3lJPBP8TLX863wX+LPiX4IfErSviX4Vci506UM8ecLNEeJIn/2XXI9jgjkCv54/wBhb4xeLdJ+Ndt4S1jVbmfTddRoZIZpWkUzIrNCwDE4YHKgjsxr9yq/qr6NGCwtXhF4Ga5lzTjNPrzWf5NI+N4gziWJxn1mK5Xpb5H9kXws+I/gz44fD3TPiR4Qk82y1KLcORvikXiSJ8fxI2QfXqOtdbcaPcR/ND+8Ht1/Kv5lf2Jf2vtW/Zp8ajSdeZ7nwlq0qi/gHJgfoLmIf3lH3lH3146gV/Tn4e8SaN4m0W18R+HLuO+0++iWa3uIWDJJG3IYEf5B4Nfzb4n8AYzhnHuENaE7uDfb+V+a/Hf0/Q8oxlDMaXNLSa3/AM/QyLcvb3cbMCCrA8/WvY0mI6Vx7eRcDE6hsetakdyR3r8izSt9Y5XazR72X4R0OZXumdMlwO9cb4ou/smo29xniRSv4qc/yNa63Oetcf4+Y/2D9uTrbOrn/dPB/nXn4DD/AL5J9dDurT91nbaRq24DBr0XTr7MYZz9PevmLw/rapEss54P3R3P/wBavU9M13eQd3apzTK2m9BYfEKx7fDc7uhq+k646157Z6qGAwa6OC9DL1r5GthHE9CE0dIzY5r8qv8Agrh+0F/wqb9m5vh3o0uzVvHDtYjBwyWSYa5b/gYKxe4dvSv1EjuVOOa/js/4KNftHSftFftKare6XP52g+HmbS9MA+6yQtiWUf8AXWTJB7qFr90+jfwG854jp1asb0qHvy9V8C+ctbdUmfL8Z5t9XwTivilov1/A+DK3NH0b+0RJd3Ugt7ODBlmPOM9FUfxOew/E8U7R9GW9R9Q1B/IsoCPMk7k9kQd3PbsOp4qPV9YbUdlrboILSDPkwr0XPUk/xMe5P8sCv9R6lRyfJD5vt/wf6fZ/haikrs6bS/iP4m8KavBqXgO7m0gWhPk+S+GOepkPRy3cEEY4xiv0j+C37e2j6uYfD/xjgWxnPyjUYATCx7ebEASnuVyPYdvycor5/P8AgzL8yp8mIhqtpL4l8+vzuNVHe5/Vt8MPjNr3haCLWPBOoR3mm3GHCBhLbyg9wQcA+6kGvvz4c/H7wf47ZNOuz/ZuoNwIZWG1z/sPwD9Dg1/Fh8KPjx8Svg1e+d4Nvyts7BpbSUeZBJ65Q9Cf7y4PvX6z/BT9sL4cfFh4tF1cjQtZfgQTt+5kb/plKcD6K2G+vWv5C8Tvo8NqWIjHmX88V7y/xLr66+qPqck4rxGEtFO8ez/Tt/Wh/S9WF4l8OaT4t0Sfw/rcZktrldrgEqfUEEdwea/PT4d/tCeMPBTR6frBOqaeuB5cp/eIv+w55/Bsj6V92eCPiT4R+IFn9p8PXIaQD95A/wAsqfVf6jI96/jnPeD8wymarbxTupR6dvR/1dn6zlfEOEx0eRaN7xf9anGfEbws2i/A298KaOslyLS1SOMAbnZUdTnAHOAMnFcRpvH7KLg/9A2b/wBCavqauS8Y+GB4k8G6h4VsWS2+2QPErbflUv3wMd+tZZbxJaEMPX/5+qo5fg9PxN8VlXvSq0/5HFL8jwjwh/ya3J/15XX/AKMkpfhJ/wAm7XP/AFxu/wCRrfi8M6p4O/Z6vfDmshRc21nchth3Kcs7Ag+hBBrA+En/ACbtc/8AXG7/AJGvrcVWhUwuIqU3dPEpp90+Y8alTlCrSjJWapP9Dd/Zh/5JVB/18Tf+hV9DV88/sw/8kqg/6+Jv/Qq+hq+L42/5G+J/xy/M93IP9ypf4V+R+HHx1/5Fbxr/ANe2pf8AoMlfzPV/TD8df+RW8a/9e2pf+gyV/M9X+nvgL/udb1j+TP57x3xv1YUUUV+9nEFFFFABRRRQAUUUUAf/1vB6KKK/6A1A/m8KKKKtQQBRTd60wuTVFKDJCQOtRlz2plFBooIKKKKCgopm8UwsTQA8uB0qMknrSUVSi2UothRRTDIO3+f0rRRsaKNh5IHWoy/pTCSTmkqigq1Hdypw3zD3qrRScU9xqNzZjuYpOAcH0NT1z5OOanivWj4PIrCVHsTKj2NgsBUbPnpUKSpKNymn1g4sxcWODY4zRvYMGHBFNooSuCVz0+ynFzapOP4hz9e9Wa53w3NvtGhP8Dfoa6KvlcTT5KjifOYinyTcQooorAxCiiigAooooAKKKKACiiigAooooAKKKKACkKg0tFFwEwMYFRlealpuM9auMi4yIm5NGMVKFGKMYGKpTRSmiGin8dqbVliUUUUAFFFFABVuxv7zTLlbywkaKVOjKcH/APVVSilKKaswTOu3aN4i/wBZs0++b+LpBIfcD/Vn6fKf9mudv9OvdKuWs7+MxyL2PcHoQRwQexHBqnXQ2GvGO2GmatGLu0B4Vjh489TG/Vfpyp7iubklT+DVdv8AL/Jl3T3ObxgcdaZg109/oCm3bU9Dl+1Wq8txiWL2kXsP9oZU+oPFcw3BxW1OrGavElxaPjP9vV5U/Zt1TyjgG5tQ2PTzV/rivwJr+jP9rbw83ib9njxPYxjLw2wuV+sDrIf0U1/OZX8H/Siw0457RqvaVNW+UpX/ADO7Cv3T174A30mm/G3wpeRHDLqlqP8AvqVQf51/TFX8ynwMhaf4y+FolGSdVtOP+2y1/TXX6T9FSUv7Pxa6c6/Izxe6CvuT9j/9tfxf+zRqw0HVxLqvhK6fdPY7vngdsZmtyeFb+8vCt355r4bor+ks/wCH8JmeFlgsdBShLp+q7NdGicJjKlCoqtJ2aP7Jfhp8VPA3xe8JW3jj4fX6ahp9yOHXh427xyJ1R17qfwyOa9DWcetfyG/AX9ov4mfs7eKR4j8A3eIpCPtNlLlre4UdnTI59GGCPpwf6Mf2bf2wPhh+0hpiQ6JMNO11FzPpk7DzAe5iP/LRPpyO4r+CfE7wTxuRzliMMnUw/wDN1j5SX/ty0flsfreRcUU8UlTnpPt39P8AI+yVuSKi1GNNU0y40xzxcRtHz2JHB/OssTMp5qVbk96/EPY2akj6m6aPmTQvFslvKdP1QEtAxjJzh1KnGPf6H9K9k0nXv3YmhcSIO47fUdq+ZPjTby+EvHH9pRjFvqa+ap7CQcOP6/iaq+HfG7wlXjk2kDrmv0fE5EsTQjiKS0kr/wBfM+fhinTm4S6H3hpPiNWAG7rXdWOuK/Bavj/RvGdrdbdzCGT1H3T9fT+X0rv4PGEWnRNcX8ghjiUuzsflCqMls9MAc5r8+x/Dsr2S1PYpYxPW55h/wUS/aZT4E/s56hbaNcmHxB4lVtN0/afnRXH+kSjuNkRIB7My1/KNpWkQzwNq2ruYbKNsEj78jf3Iwep9T0UcnsK+u/2vPjzL+0p8XLrx7qUjxeGNK3WOkwg4aWNDksoORukb5nb+Fdo5IAr451fWLnV5laQCOKIbYok4SNfQD+Z6k8mv9CfA/wAPXkGTKhJWq1HzVH2fSP8A26t+ibZ+RcUZx9bxLkvhjov8/mO1fWJtVkRAoht4RthhX7qL/UnqWPJNY9NLAUxmJ4r9up0VFWjsfMN33HFsjiq97e2emWU2pahIsMFvG0ssjHCoiDczE9gAMmpgcdBXafDvwv4c8c+M7Dwh4wtI7/S9RZoLq3lzsljdGDK2CDg+xr5jj3iX+xMixucuHN9XpVKlv5uSDlb52serkOVSx2Oo4GLs6koxu+nM0r/ifkz42/4KU+FdK1d7HwRoEuqW0bFftE8wtw+D95FCSHHpuwfYV9R/s+ftPeCP2gbW4h0aOTT9UslDzWcxBbaeN8bA/MueDwCDjI5r4a/4KqfsZ+Cf2SPjDpU3wsEsPhvxRayXMNrK5kNrPE5WWJGPzGPBVl3ZIyQSa+Wv2M9avtG/aO8OGzcoLqWS3kHZkeJsg/jg/UV/Cfgn9K3MeJa+DzKNTnw2JaXK4qLjd8vTW8Xo7tp23e57nGPB2JyTMK2V41L2lN2dndPS6a8mmmtj+tb4Kfti/Eb4U+Vo2ssdc0VML9nnY+ZEv/TGTkj/AHWyv061+uHwa/aG8A/FOOPV/h7qbW+owYdrZz5V3CR3wD8wH95SR61/OgTmr2manqOjX8WqaTPJa3MDB45YmKOrDoQwwQa/s7izwsy/M1KpBclR9UtH6r9dH6nydOtKLuj+zz4dftR3dmqaZ8QojcIMBbuIDeP+ui5wfqOfY19naHr+jeJdOTVtBuUureTo8ZyPoe4Psea/kN+C37fWraWYtA+MkLX9sMIuoQKBOg9ZU4Eg9SMH61+svwn+MqzWkXjT4Vayk9tLjLQtuRv9mWM9D7MAR7Gv4a8Sfo/VsHN1IR5G9mtYP/5F/wBWP0HJOOqtK0MR70fxX+f9an7Mahp9nqtjLpuoRiWCdCkiN0ZWGCDXA/8ACEWHhX4eah4W8Mo7RtDOYo2O5syKflB6nnpnmvKPhx+0x4f8RbNL8ZKum3hwBL/ywc/UnKH68e9fT0ckc0YlhYOrDIIOQR7Gv5tx+Dx+WT+r4hNK6dvstrZ9mfpeFxWFxkfa0Wm7W81c8D/Zqtrmy+GSWl5G0UsV1Oro4KspDcgg8g17/TVVVztAGeTj1p1efnWZfXMXUxTVudt27XOvAYX2FGNFO/KrH4cfHX/kVvGv/XtqX/oMlfzPV/TD8df+RW8a/wDXtqX/AKDJX8zhdRX+qfgIv9jresfyZ/N+O+N+rHUUzfn7opw96/e3GxxC0UUUgCiiigAooooA/9fwekLAVEWJptf9BB/Oah3JC/pTCSaSigtRQUUUUDCimFx2phYmgCQuBUZYmm0U0rjSuFFFIWArRQNFAWmlwOlRlyabVlikk9aSiigAoopCQOtBoodxaaXAppf0qOg0SFLE0lFFaKHc0UO4qsyncpwa0obtW+WXg+vb+dZlFOUExygmdBRWPBemM7X5WtZXV13ryDXLODics4OJ03hl8XUkf95c/kf/AK9dpXA+HnxqYUd1Nd9Xy2axtVPm8yVqoUUUV5pwBRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFJS0mKYxjYpn1qQjvTGPpWsXoaxeg2iiiqKCiiigAooooAKKKQntQBZs7+8064F1YyNFIvRlODjuPofSuhEmj+JDtl8vT70/xAbbeU+4/5ZsfUfKfRep5FvpTKxqUVJ8y0fcpStocj8YdCvV+HfiPRdQiaN5tLu0AI6h4XAI7EehHFfy1CWORiqMCfY5r+xj4VXQ1fxhpPhfWo0u7GW4XEcozsIOfkPUZxyOh7ivcf2rtPsJHs/DWj6Za/Z7dPtV0Ioo94LnCFlA3bAOh6ZJr+CPpD5/WzTxIyXgPDUf3lelUqzq3tGnTi9+Wzcm3FpK8dXHXXT9SyDgKFfhrF8R1a/LGlKMFHlu5yl0vdWsne9npfTQ/j1/ZYsP7X/aG8KWUfzFL+OVgOoEXzn8sV/SJX2v8W9H0DQ/2edAjsrG3hllS1UOkSK/3C5+YDPP1r4or7D6EHFCzrhrGZhGnyJYmrSWt+ZUrR5tlbmd9Nbd2cXifwO+H8dTwUqvtHKnCbdrW51fl3d7d9L9kFFFFf2afnAVqaLreseHNUh1vQLqWyvLdg8U0LlHRh3DDkVl0VM4KScZK6Y07ao/Zf9mr/gp7dWMdt4P/AGg42uIxiNNXhXMgHQeeg+9juy8+xr9kPCPjfwj4+0SLxJ4K1K31WxlAKzW0gdckZw2MlT7HBr+NivR/ht8XfiT8IdZXXvhzrFzpU4ILCJv3cgHaSM5Rx7MDX87cdfR5wGPcsRlcvY1H0+w/lvH5aeR9llPGNWklCv7y/H/gn9WXxm8Dt478Ez2diAb+0zPanuWA+ZM/7Y4+uK/NvTPFE1vL5ExKOh2srcEEHBBHYg1wvwk/4KxXcEUOmfGvw8LgjAa/0xgjfVoH+U/8BcZPpV342fG/9m3xkW+KXwz8RxJLOQb7TLiN4LhW6eYiMNrE/wASozeo71+VcP8AAmdZZUeXZhh24N+7KK5o37XV7J9L219T3sbmmFrr21Gav1T0f9fee/6R4zdCv7z9a+ZP2rv2oP7L8NSfDXTJhLb3alb8K2GkTp9njYHKZ6yOOg+UZJIr5o8V/tLCz0Uy+Ho5EWUEQySfI8nYlF6qg/vnknhRnkfD2ta3qOvahJqeqyGSVz1PQD0A7Cv1vg/woi8UsZjY6R2Xn/wPz9D53MM/fs/Z03qzqNXtx4qf7focpkKDaLJsLJEo/hjAwHUf7IB7kVwLkqxRgQRwQeopokdHDIxBU5BHFdUuu2WsqIPFCFpOAt3GB5o/3xwJB9cN79q/foUpUlZK6/Ff5/n6nyjalq9zkvanZCj3rb1PQLrT4ftsDLc2bHCzxcrn0YdUb2bHtkc19B/s8R2WlaF4q8eR2sE+qaNFZ/YJrhBKLd55irSojZQyAD5GZTtPIAbBH554y+K+B4L4Tx/F2OhKpSwtOVSUYW5nbortK9+70PtPDfgPFcTZ/hOHsHJRqYicYJyvypt7uybt6IT4efs/wSy2Gt/Ga6l0PT7yWJYLGJQdSu1kYAGOJ8CGIg586UAEfcVzxXj/AIthXwF8TdStvDTNEukajKlsWO5gIZSE3HjPQZ9a+i/DMfiHxb4zj1y7ke6khnS8vru4kAWOKNw0k080hCoqgZLOwHvXzH46MnxV+JWqWXw2vopH1/WHtrO7HzIgurnyxNtOM7FfeFOM4x3r/Pb6AH0wuJPGfGcRZtn+EVLLqSpwo01FyjaXtXUUptfvJuKjzLRJWtFJ6/2J9MT6NGTeGGEyfBZXiHVxc/aSqzbs7rk5LQTfJG/Ny3u276u2n43/APBWb9p6D9oP40aJ4fsY0hTwnp5trhI33qbuaQySEcDGF2qRzg8Z4r4v/ZPO39orwmf+n0f+gNX+iz8Yf+Cdn7FPxj+EOp/8E/tO+HekaZawWk9rpHiOOGP+2INVjgLpfyXW0SSTSzrmYs2JAxDDbxX+dp+zfouo+Hv2o9A8N6qu2707V3tZ1HQSQM8bgf8AAlNfl3gLxHwzjcyp4bhOl7LDUMRyKHvPk/eXsnK8mtd7vyP5q8WeH88wuNhjc+lzVa8FPm01VkltotF5eh/RHRRTkR5HEcYLMxwAOSSa/wBrD8YEALEKoyTXsngvx54t+CV1/a/hq/ltdWmHMCsfKjT/AKbIfldyOisDt6nniuP/AHXg9edsmrEfUWv9DL/6B/vdONeR5XMkhLMxySeSSa86tRhiouFRXg+/X/gfn6b625fU/Yz4I/t0+EPGhi0D4pJHoeotgC6Gfskp985MRPvlfftX6mfDX42+K/BEcMui3a3+mSAMsLv5kLKe8bAnGexU49jX8klfQPwb/aV+JnwXuFg0O6+16YWzJYXJLQn1Kd4291/EGvw7jrwLwmOpyeCS1+xLb5PdP+ro68HmNWhNTpuz7o/tR+Hnxr8GfEKNLe1lFpfng2sxAYn/AGD0cfTn2r16v5wfgp+1d8NPjAIbO1n/ALI1vqbK4fBLDkmGTgOPbhvbvX6XfDr9pPxP4X2aZ4sVtUs1wodjidB/vH749m596/hLjjwTxeAqyWHi019iW/8A269mvn82fqOS8eQnaGLVvNbfNf5fcfI/x2/5FXxr/wBe2pf+gyV/MzsNf0vfGm7ivvBPi+/gzsnsr+Rc9dro7DI9cGv5oi/92v7x8BE1g6y84/kz8qxrvNteZIAFFKDmohljUoGOK/eJI4woooqQCiiigAooooJ50f/Q+f6KKYXAOK/6CD+dx9ISAMmoi5ptAEhf0phJPNJSgZGapQZSgxKKMgdaYXHb/P6VooI0UEPppdRTvIuZEDqhIPoKgIIODTTRVhxcnpTKKKYBRRQTjmgtQ7hQSB1phf0qMknrQaJWHl/SmEk9aSirUDRQCiiitFGxoo2CikLAVEXJpjHlwOlRkk9aSigaVwqxBcNCcdV9Kr00tjpRy30NPZq1md74ZZZNSV0ORtb+Vei15b4IDPqUj9lj/UkV6lXxudRtWt5Hx2cRSrWQUUUV5J5YUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAhzUZHc9aeTjioyc1pA0gNooorQ0CiiigAoooIzQAVGW7Cl4A4phxQAhOTSVjeINe0/wzpEut6qxWCHG4gZxuIUfqa85u/iFPfxCTRSghf7sgO/I9j0r38n4axeOXNRXu7Xe39eiOihhZ1PhPpX4bXcNn8QtElmkSIfbIhudgo5YDqa6v9pvx3Bonx0v7czSQy28cQV16BSmcepzk5HSvyZ+PXwi1D44WNnbya7caa9kzuoQF0kdgAC/zKRtxwQeMnivMfBfx2+LeheM7X4R/H+G81e8jWKysNWjQymWBfli8xsAuqjjeSWUDDdAa/nvP/CmeA8XcHxRnkeXB/VZ4WNRap1KlSnUV7XcF7soLnSTeqdnY/SsHn0KXDlXIpxd51Y1FJPT3Yyi01800/Lof0Z/G28std+EfhG2nuo7d7tI542ZcRswhxgkfcB3cHGB3wOa+LdQ02+0q5NpqEZjcc4PQjsQehB9RX5efEf8A4KBftIazc6f4L8X+CAdF8MPLa2clrb3UU7wghFkeRjJG7bUBG0KDk19C/A39rsfEa1utCOn3Zisgjy22oxFGj3kjMMwJIbjkcj1U1+cfQz4KpZBw5/qvUrpYz2+Jk6coyi2pVqk4OMnFRk3T5W1dWd10O7xc4goZ7nDxuEb5eSnFXVneMIp/jc+sKK5PTPGmj6xqkekWodbmYMyRHDNtVSzHjnAAJJwBXWV/XOOy+vhZ+yxEeV7n5HUpSg7SQUUUVxGYUUUUAFdVZadZ6VaJrWurv8wZt7bODJ/tvjkRj826DjJDrazs9Atk1XWkEs8g3W9sentJKP7vdV6t7DrzOoajeandve3zmSWQ5Zj/AJ4Hp6Vza1dI/D37+n+f3eWluXfcm1HU7vVbtr6+ffI34AAcAADgADgADAqgc9+lR/Wgk12wpKKtEzbA4xgUlFFaAaWmavqGkTGawk2bhtdSAVdfRlPDD2Ne/wDw++K3wj8E/D/xbJ42jvbaW+js/KtNPj8w3Lwys5VJH+W3ByNzvuCg5VWPyn5upCARg9DXw3iN4cZRxXk2IyDPKbnh665akU3HmjdNxbWqTtbTW17NM+s4I4zxvD+a0M5y6VqtGXNF6OzWz1TWnmmvI9SsvC/x4/bN8Aatc/DOXT9M0LRb1UXwzBM0Tu2wMs0sjjM7nna0z4B3BAvQ6X7L37HPxjg8cWvijxmJ/C0enXsJijmiLyTSxSq3KblAj4+8Tznj1H3x/wAE9/2Rvhv45+Kng7xudSu9EkuIZXvYba5aCO98t22oQuDlgMFQQD1xng/0PeI/2PfAOpyNNoF5c6aWOdnE0Y9gGw35sa/yK8RfpTcXZTQzHhLwep4elgaFSVGEXQjSqYeVKXLVpwTlKjVjJrmVScFK09byV1/dDweS4upQx3GMqk61eCqSk5Oampq8XJ6TTW1k2tOiPnLRMr+1Yu0g51dzkcgg5P8AWv8APG8a/DLUNP8A+CunxG8P6BZubTw5401iS4KqdsEYml2lz0XcxAXPUniv9LvwF+yivgzxjZeKpdbNwLGUSrGIdpcjsTvOP1r8wf8AguX4v+H3gH4ceFvB1jaW1prHifVpNQupIIY1lmis4SheZlAZvnmQAnPT2r82+gR4fZzT4iWDx+HcJ18Q6iimpPliud/Dfbla6dz86+kfmOAzWnh55fV51RpqLfK1d7dbeXc/nTiiknkWGFSzuQFA5JJ6AV2LvD4PUwwESaqeHccrbf7K+snq38PQc8jMsde0fTLH/inrhLm+mX95OnSFWH3I887iDhmxx0Hc1zxJJya/3vqUZyk41E0l0ejfr5fn6b/xq1yadQZixLMck8kmkooroMgooooAfHI8TiWIlWUggjggjoRX3B8Ff24fH/gARaH49DeINJQBFLkC6iUf3JD9/wCj5z6ivhyivIznIsJmFL2OLgpL8V6PdDjJrY/X34s/tv8Awk1b4X6ppPg9rq51PU7WS2SKSFoxF5q7SzsflO0E8KTk1+QQoorg4Y4SwmUU5UsJf3nd3d3+gTqX3H7+yinAH+KkBC80hcmvo2uxk6nYlpu4VETmjkmlyEubJN/OKcPU01VxyafUyt0JCiiipA//0fngkmkoor/oMVPufz2qfcKlhiM0qxLwWOKbFHJMcRLuNRs0kMmOVZadlsty1GxoXtl9kAbdkGs0v6U6a5muMeac4qCimpJe9uMUktT3hljAMikA9M01G2OH64Oa1b3UI7iARoOTyc9qUpSTSSKSKUd7cRR+UjcVVooyB1q1FLYagwq7bCzaMrcZDetWJbGGO0MwY7gM+1YhYmoTUloaqNiaRlDHZ07ZqAknrSVY+yXHledtO3rmtLdylFsr0UucUlbKNjRQSCiimFwOlUUOJA60xn7CmEk9aSgEgooooNFDuFGaYXwcVGTk5q1C5oOZ88CmUUVolYD0rwJblbee6P8AEwX8hn+td9WJ4dszY6RDEwwxG5vqea26/Pcxre0rykj4PMKvPWlJBRRRXEcYUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAwnHIqPp71I2fpUZOa1gawEoooqywooooAK7Xw38OvGfi7TbnV/D1i9zb2vDuCo5AyQoJBY45wM1xROOa9b8CfGvxX8PNDudA0ZIXjnYujSAlonIAJXBAPQcHPP6+fmc8TGlfCJOWm+1uptQUHL949DyFyQSh6jg1FTndpHMj9Scmm16CMT2v9njwr4Z8cfF3SvCfjKxh1LTL7zo7i2uFDxyL5TnBB9CAQRyCARyK7f46f8EqBp7z+LP2VtWNjMxMj6JqLl7dz1xDNjKegEmf94da5r9l+4Fr8c9CnY4CvL/6Jev2ktdZhkHDV+R8YeIWdZBm8K2V1mouCvF6wlrLeL0+as10aPseH6NOdBqa6/oj+TPxIPFvw28RP4L+MOjXPhvVYzjbcoVjcf3kfoVPZlJU9c1oqUkUSoQwPII5H4Gv6lfiH8Nfhn8Y/Dz+F/ibo1rrVk4IC3EYZkJ/ijf7yN7qQa/OHTf+CMmm+Mvi3Z+Hfhn45udB8L6kZPtME8Zubm1CDzP9HbcquGClRvIK5yS/Sv2jhT6U2RYnDylni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",An="data:image/png;base64,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",Nn="data:image/png;base64,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",Oe="data:image/png;base64,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",Ve="data:image/png;base64,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",Wt=e(53114),tr="data:image/png;base64,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",T="data:image/png;base64,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",O="data:image/png;base64,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",z="data:image/png;base64,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",q="data:image/png;base64,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",G="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAgCAYAAAD+Fz2gAAAAAXNSR0IArs4c6QAAEyhJREFUaEPFWwl4TefWfveJzIkhUnNQQ7TETBGzGtoU1bpoixa9bd2rWkVVJ1o1lFtDVYdf+Xu1fkqFqqlURSIINcVMzCQhJIZEZDz7Pt/6hv3tfU7C7T+dh+ecs6ez93q/d613DTEAIDdlaQ13EWYZMLqYhlHVgAHDMNgu/m6w7/RFbHe+8+NMAKZhwEVnAqZLXMOkU2nf/V4uN7uKOJ9dkf8DTFO9sy2mSb/Gt9NHfh7bTv/luWy76YZpumm/m72zQ90m2B2bbnktcYw8X7yz6xr0M/w8fn32Wf6umz+3djy/H3Y9fo9yH3t62qbdq3g66/mAdBfc2w3DZ0KNmI+vGAycooLiZANGGAyXBYgEieEDO0i0hYBj//g57FY4Hgbc3kCSVr8PSIYwCBlbPJCElRtegmGBxLZzI8ptzs/MoNJgdmMaAiB+3WIyvjSibnR2Xxwgvl8/Ri6e0kHi55YKEoHJDeWCmWUYrqbG7aNLlsHE85woLkiQuB3vzyQ6XjJNe/+/AUkaU8CpgcRXr1ixknFi9dv2MSZprAHcMN2MFZKdFhjyOM4eO0iK5d7A+xNMIpvCvdy4feS7NABVuaElMzgrbCCx7wQtHcXZw/0ed30OMG3uTnNvysn9jzHJYgYtv1KZZLk7nW3k7hT7uAsrkUnkgvlK98YmG/hOsLSFIlaP5galz7DcuQtIN24l/6dJcUMYmwPDjO4NJOHuvIAkwdJjV+kgcZBLe+nujiIIc2X8ySQW5Lo8mSIe0hGX1HEaANKgDCRhdXF9AZICpHQm2VyeR0yy2Kjip7g3N7lnC3TGYDIMu0e26G8eWmxKIcDJ4I1JmmCQbuz/ASQr/ggRoWISfyhubM4oe0ySK14zhJMlXEEokLiL+2+AJO7NI1Zp7s4mFrwKBzeMWwcWmRTdlVpzKDTFJAskyRLL3Vnu8H/F3ZHisl606rwyiYEkFJaUf0rV6aySbLACvlJXTHE6Y5JSbfbY4y0mPTCTlNLUYqUHSIYASEjokkFiAAiFpwsCAaxN5cHA+QPxCKteBxWq1iYzekjwUmLS7YzLCClfCT5+/jbvx9SWBInIr9S4SQuf48WYZMluKbVVULdJb3aklMsy7kgGOUAiJhUpheVUdxKUC8k74RcUgsp1ooQMl6rMi+pzCAfpfu3uzoSRtX8huTjLzUlJbW2j/Upq8yzHktkGigrz4OsfKOIWsOK9F9Ck13No2OUZOu7w5uWoXK8xKtVrTEylK3iAZMB0F2HNlFdQMaIeOv/1ffqdg+u/V0DxmxdYiPeQ8g8hMrqXBpJckSUxyRISHC8Jkl0+C41Phs69k4XdP85DZPsYVGvQXKwFnv/wPInnUwc3/YDM1LPoNuIDlZs5pb9cLDYl6EU8yIVmZO37xuTsYBJbBG6nu3MkqHSsAKkoLxdxi6eiYq1ItOr3Mll+5fsvoHGvQQSQu6gQSSsX4OKhnWja6zlEdR8A0+Xjkcyy651N2oLdy79A91FTUbVBM/qNX6aOpPfbGVcQWLYC/AKCFUh3b11HeK0G6Pn3qbSNuT5uPUesEYzznsTKpLZkd1dYkIcDG5bg8pEkNOzcF5HRT+JW+kXk5dy2EmY3cOd6Kk4krkejzv0QVD7cdh8BIeUQWrGaTb7bwBIgEdjaMxiZf3ylAJLqTa5uySyl0CgTtdxdQd5d7FgyE3czr6HbyI9RtlJ1YszK9wdzgDr3E1LchZTdm7A39j9Q/ZHm6PjSO/AJCLIxyXQX45dpI+EbEIynJnyuQKB7LS7C0rf6IfqFN1G3bQ9Id7d25ihUe6QFWvYdYbk/G0iyAsBB0IWDnrfoysopneU5zJgpezbj8JYVtNAyzp9A+ulk232W9qVmVFtEdfuL9yTXJvEFIyU7M/d+ZcpSjmH42JjE5LcNJM0V3rxyDkkrvkBRQR66vvwhyletxWWzYeCnD4agcU/GoKcJ0MxLp/HHz4tx++ol+JTxRWh4FXR5ZRICQisokM7ui8OupXPRecS7qNk0Gnk5t2C4XPAPLofCvFz8OGEg2g8dizqtu3G2FORj2YQB6DR0PCKad4RLd3+2YGslsx4xST9OGcmTSRTvxP6rZ48gvGZ9uFw+Kg86Ef8LLhzagcdfngTfgCDOHHcxbl1PRdmHqntWJhwy3Ju7k0wybuxZYDJDcGYw+1ogmVr9TQfqzo00/Pbl+wiPqI92g0YjoGyYApKBFP/dp6jTqjOCyj+EU4kbcCl5F2o1i0bz3sNRXJCHrV9PQnCFcPQa8xlPck03fvl0FLkF5t7Yz8Yvmobc7Cw8OXYOcm9eR+zk4eg0fCJqNe9AAN24eAqbZo9D/w+/RXDFKjx7EOpOl+O8BieDNH2SNSStZqcLC104iPPcxSi8l0vs5sa06nY3084h/vtZaPbEYEQ0bkfsZq70wsEEHImLRfuBo1G+au0SQSotJtHzMICcRVBnTHIyiYGVenI/qj3SEi5XGQscAAW52bh8dA/O7PmN/HR47QZoFjMYleo0EtUGF7JvpKMw/x4q1qhLhj23fzv2rPgCfScugH9oBaSdPIAd/5yFmHGzUbFmJG6lX8C6Ga+jZb8RaNjtWQLoZPwvOPzrcgyatozXt3gGRG5M1bukoCCQmFFFfZUdLaSfFcRLBunQxh9w9XQyOg55W8UW0yxG/t07iF8yE8EVHkK7gaN4nut20z24i4uxe9UC5GRloOOQ8fAPDPk3QLKSb+N60hc8UWUrUDFJxhlLOHgDiQHLbuR2+iVcTUlG+umDyEo9D7+AINRu0RF123RH+Sq1lKDgZSFdrvNV/+MHg+EuKoKPrx8KcnPo+MgOMWgz4G/E7Izzx7B53juoEtkEPV6fTvsTFk/HxeRdyu13GjoOtVt2cTBJlsKtsowsjxOTPECyqs26BM+5mYGdS+fQvXUaMg5lK0Ug904mEv9rDrIzr5JwYHbIy7mD/HvZKLibTeAxEVGYn4cq9Zqgdd8RnvU7vdLh5qDw5FjETvb0Gbvn22S2ktxKDEiQDDCXx/ZfPJQAFoMYQ1je4i4qVoZiIDNl5VPGj29zVHQq1WuEqG4DuGLkIQunEjfS4ggJr4KLBxORdmIf+r73DXwDg4kNl47sRvyi6TB8fDBoxnLy8zcunKL4l309DUkrvsTT7yygOMhIkn8vp0QmybYD93SiBEOGkYVVq9rtGxCgYk9BXi4Sl8xCdmY6eo2agZys64hf8in8g0LhHxwCP/YeFAK/wFD4se8BwQgMCsXdWzdwZFssWvUZTkDx2O9ZiFXtEVtpyQ3j2q7PFUBW70evJlgSXMakAz9/S8BUqPYw7t68QS6ofvQTPI5piOifGRIX9scjLKIeOgwdR20KXnXgIJKYSDuPX+eOQ6cX30ZE0/aqVnfk12U4mbAe/iFl0az3i6jF9onX8d9X49i21Rg4damoaQFLxvRR+//sB7YYBkxZyl2jMBoDPv3UIdRkscY0KYUozLuHMpQDmhSnXGV8YLjKoLioEMWFBfDzC0RK0mbUbBINX/8g1ZdygqTXBOUiopLVtZ3zVAzSE1aLSbJoyg1KTTfBJHbMsW2xuHx4F2LGzdN6SY6qgzgn7tsp8A8uiw5DxgpwLJCKCu7h188noHL9pmj17Kuk7uRvbf/2E7h8fFCpTkOkHt9PQkK+tnz+DgLLV0THlyZwEek2Kf6JcKOViHiMkfFJZBuyG2hjEN/oQu0WnVQfyVv74drpw0hcNgcxb36GgNByWD31FTTq9izqt+mBM3t/x8nE9bRPl+r2XMzJJJ44y4Yfuw0jI3GeaYrU3puk5vGJs0gyTAfp+LZYnN65AYFlw0pcrMKZ4V7OLdRo9BjaDx5rdWgZFKYb2xZNRf7d22jTfyQyLp5CxtljKOPnj/YvjsfqycPQqPtf8HCLjlg1aRg6DptAK5K52PUzRyN68BglvyVIwmt5FQ58tepdWeHuvAoH6QZNYkv8d9PRLGYoKlSvg0vJO/HH6oV4ZuLXcPn6I/aTEWj0OAOoJ87u3YqTO9bjyTGzrWqDJtdVh9bRd9JrgtTgy9gxlxjkZotZ9HRKZpInSMfjVuPigXi0fvY1j7a4veEHHNq0jJLZ9oPfUrKenbT3p69xZs9WziqXC2HVHqbKRI2GrVGuUnWsmfoq+rz7JcpVqYl9qxfi8uEkPP3+N4j79hOwakLfd7+C4fKxFogJlRcJKPgq5gHAqtc9EEiWwLhwIAF7Y7/BU+PmIrBcRaTs3oyjv63EM+8tpLjCAIrq3p8AYs9zMnEdYsbMUTHH6sraa396D0l9ZqKBXFzCHNVucGuu637ujuYNDAOMQZcP70Tnlz/kcltEfot5Vld294r5CCoXjvaDx2jzDaCMPDsjDRVr1UdY9bpw+fqRi2Nd2cMbl+LMni3o/8kPBEBRfi7WTvsbAXc15Qi6vPIBIhq39WSvAySZJ4korYElXIpqN2u9G5twcCNu0RRCufOI98joBzcswbWUI+g1ehbNN6z6eDiVsiLb9kTKni04uWMdnnprrk29PShIkknGtYTZxCCx/JVSexB3x0BiDDqduOGBY3HNJu0Q/cJbto6sXnjllW8DRfdy4BcYjNgpf0XlelHoMGScGkI5sX0t9q9ZhPDakZTIlvi6D5PsjNIbf4JpWnf2blYG1v1jNFo/8yoebtmJjL716w8RGl4VrfuPpNUe+9EwAqhBuyeRsudXnEhYh95j54LV8jLOHUflulE8VNg6v15mHLRKg3E1/jORB1lVbObuXM72ApV5mItj5rCEw7H4NSQSuo+aDhflUVyKW4pQVikMJCyZiYDQ8mj/vGSQ0NmiipGTeZVYcenwbty4dBrRz72BHUtn46m356N85QhiZ/qZZMQvno6iwgIySou+w1Ty6hUoB0iqSabcnZTXOpO0oqsA6cjWlTgRvxZPv/cNyvgF4PbVy9i84F206P0SHm7VlX46dvJLaNxjICLbPkEMOpGwFr3HzUNe9k1smj8R3V6dhJAKlVVM0ks8JfWRjLTt/zBZu1u1G5gZXCLnKSUmSRd2PP5nXDyUiMcG/J2D4wDIikMGDm38HiHhVRH9/JuqfcFqbqyImnk5Bfk5d1C2UjVUa9ACD9VugH1rF6NOq65o0XsYioqLcCJuDZI3L0doWGV0fW0yziRtwbGtsajTuivaPjeaEl3vIJlwWZ0KUYHmR5KqUmDZJ39ky4Epq3UzR1MbpO2gN8AKuwlLPsWtq5cR89YcuMqUIaOvmvwSonoMxCPtnsTppM0EUJ/x83Ez/QLiFk9Dr1HTqP5oCQFrpMtjCEUksUZq3CxikASJsYRuWDbjZOvBgxkc1OPxa3F656YHdnEsXkQzBgnWFOTnYvfy+aj2aHNUf7QlQsKq0HVZ5s4qxn0mfgnGrIR/zqQSUdUGzdHpxfHwDSlLv5myazP2/vQVwmrURY/Xp/FipbeXaYHExZTVAPQEiRAThgSunTmK3xd+hC7DJ6JKZHMSCuf2xaHdc28gIqqNKpqumvQionoOIheXemwvklZ9hTotuyAr9SxVHPqMnQe4XCXEJM8iLd1j2raZNDSigyQndXSQVDnI5r4MnNqxHpeO7kH31z4WeYs2quWSI1k832HVb1adfqz/SC+DkfZJIcYOlpjWatIe+bnZ2LbwI0Q9PgA1mkZzljITisHI9JMHyGAdho4vdaE8+Myd3d3lZF7DqZ2b0DxmMBWTT+3cSHdQv10v0WLnx+9fuwjVHm2FynUbo7ggH0e3/oSs1DNUVYlo3IYn2F4HI7VirmMuz0jdNpMYxFaVjB1ywocCjsakkkCimMSGSBj7HACqpFZWDkQsk7FKvZc4vcoHWSh11KZXnSBJ9ypLSCULhz/PJFV51tsFXmbuuAvjdUZ7K4ENRsrJVKukJLuyTvCIQam/f6oqCRIkW0ySCk/vDXGr2oQAB5cLAinBbUqQThGVAw8Boo1zqfEvYXJt5s4JkvfWuRQepZBJc3f2cS5vMcnu7ryCpE0XeWv42UCicSovLQ3ZOneAalzZOiPNMIyq0uA0i0XEsebjZCNOHlMSk+RkqpLtzoafGowsYQhFMNZSivcHSdXyZPFVSpX7zNwxo0nhQHOkTO0JTO0xSax4VeS0mne2rqya0nHGEieT9DFkWbnmLk7ONoi6E9uWbqT+PmOZSaO/lsyWA/CWXKYyg8dolgUU38+P91HDI7wk5OjKMpBU61yyThtCUedwcGy/IVjozd2peQrmCrkroJyu1Ne/xSQxbOJo+CklKHMbFJcQZzRgaYxLAmnlXwokwSKYWG5ciZtZA8VmMmCGKaktjEQOyzZpKguYmtHVtI8OBuvK8u/eurJkeMd8gy0WCRXJwXGMIOuukmrNHAy9uEqnM3vKRVUKSiVPr4oSDw1oiHagPu/A2kmih6OXasidlejC7CBZfyVhB0nEpKwABDSlNcZAMtzuWaaJLtLdSTdlgWRnkZ0ZcrXrMYa3z+8Lkoox+jiXAEVNEwmGaX9VwRwSFzOlg/QgTCodJDnGZQfJXtS0/1XF/UCy/pRFMknLv4B0mO7tAcV+E4LavnLlX3lTS/GLYAyLAAAAAElFTkSuQmCC",Z="data:image/png;base64,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",J="data:image/png;base64,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",k="data:image/png;base64,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",Q="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAgCAYAAAD+Fz2gAAAAAXNSR0IArs4c6QAAElZJREFUaEPFWwd0VWW2/s5NL4AEBamDSpEhSBGEyFAEpESKgDAIKCgKTx2KyjAMIlVAUIo8Hk2QFXHAR3E9BESQEAJBKUoRlECoShqQAoQkpJwz699/Of8594Sg8+a9u8K69552z9nf/+397YIBAPkpn9UySzDPgNHRMozqBgwYhsF28XeDfacvYrv7nR9nAbAMAz46E7B84hoWnUr7ynv5THYVcT67Iv8DLEu9sy2WRb/Gt9NHfh7bTv/kuWy7ZcKyTNpvsnd2qGmB3bFlymuJY+T54p1d16Cf4efx67PP8ndN/tza8fx+2PX4Pcp97Olpm3av4uns5wPSfTD3GkbAhFqx068YDJySotITBowoGD4bEAkSwwdOkGgLAcf++DnsVjgeBkwvkKTVywHJEAYhY4sHkrByw0swbJDYdm5Euc39mRlUGsxpTEMAxK9bSsaXRtSNzu6LA8T368fIxXN3kPi5dwWJwOSG8sHKNgxfU+PGqbh1sPA8J4oPEiRux/KZRMdLpmnv/zcgSWMKODWQ+OoVK1YyTqx+xz7GJI01gAnLZKyQ7LTBkMdx9jhBUiz3Au93MIlsCnO9cePkmjQA1bmhJTM4Kxwgse8ELR3F2cP9Hnd9LjAd7k5zb8rJ/a8xyWYGLb+7Msl2dzrbyN0p9nEXViaTyAXzle7FJgf4brC0hSJWj+YGpc+w3bkPSDdyT3xiUdwQxubAMKN7gSTcnQdIEiw9dt0dJA7y3V66u6MIwlwZfzKJBbkuf6aIh3TFJXWcBoA0KANJWF1cX4CkALk7kxwuzy8m2WxU8VPcm0nu2QadMZgMw+6RLfqc46stKQQ4GbyYpAkG6cb+H0Cy448QESom8YfixuaMcsYkueI1Q7hZwhWEAom7uH8BJHFvfrFKc3cOseApHEwYuUdXWRTdlVpzKTTFJBskyRLb3dnu8N/i7khx2S9adZ5MYiAJhSXln1J1OqskG+yAr9QVU5zumKRUmzP2eMWke2aSUpparPQDyRAACQldNkgMAKHwdEEggHWovH9XTBIg5aZdQmB4JCIqVRGIWbTwOV6MSbbsllJbBXWH9GZHSrks445kkAskYlKJUlhudSdBuXTiAILDI1Ht4Wghw6Uq81B9LuEg3a/T3Vkwsn9YSS7OdnNSUtvbaL+S2j4yxI87Pxcym6s9eqmwIj8IYUH7uBSXRzeNHQJfcAh9z7uejgtHEvxiUkTlB1CvTVdFHSaJN0weioZte+CxHoNJEEgm2SDJFVkWk2whwfGSIDnls9D4ZOj8m9n47vNFaNA2FjUaNhdrgec/PE/i+dSxHWuRlXoenV6erHIzt/SXi8WhBD3Eg1xoRvb3yy3ODiaxhWHd7s6doJomNk55AWGVqiAssqKOjF/M1yAia965fQt52VcxaPZ6BIVFUDKbnnwU8cumggHiCwigaxTczEGV2vXQdexcxzXXje+HZt0Ho3Gn/raBxBHM9XHruWINC7e6BHcwSSa1Zbu74qJCHN0eh19PHsQfO/RGgyd7IDf9MgrzbtgJswncvJaK00nb0LjDswi/737HfYRGVkKFKjUc8t0BlgCJwNaewcg6slQBJNUbiQgBimIX4xBlogZgmtg09UW06DUc9WO6c1b4fMhOPYfsK+dRr3VXYWgZz9gC4Inn5R8SkbRuIQbOXo+QsAi6XNqZYwRQv2mrEVm5Kj3EF9NGoFHH3mj0VF8bIMvE2rG90XrAa3i0bSxtd6o7Fud1kGQFgIPgBMkrJtmuTroteQ4zZsqhnfhx13+jabdBuHrxNNLPnvBbkGVtqBPdBtGdnvNOch0SXzBSsjPr8FJLlnIMI8DBJD+QBGiWWYrNU4cTQPXadBM5k4GE1TNhlpSgy2sz7fKQyq24m7zww158u24RBs5ah6DwSCoLpZ05ivjl09BXAJSWfBR7Vs7AgJmfIiSyknrm4sJ8fD5hINq+8BYeafkUGZy9Sll6JoFRyalMUu1k1i8m6UFZGcmfSfQ7Yn/G+ZO4v059+HwBKg86nfglLh3fj84jpiAoNJwzxyxF7rVUVHygpn9lwiXDvdydZJJx/dASi61+XjVgdrVBsrT6m2SSjFU3Mn9FSVEhgkLCyUj5udeRtPZDNO0+GNUfbW7X8mTUEblVaVEhAoNDEFXzIVDhwzCQoQEUUbkq9q+ZQ3RrP2KSY0EW3MjCpneHocOr76BOkxgyhE/U6khoC3Wny3Feg5NBmj7JGpJWs9OFhS4cxHlmKYoL8hEUGiGAsut2OWkXkPjpPDTrPgS1m8RAlo4uHduHkwmb0XbgaNxXvW6ZIN0tJtHzMIDcRVB3THIziYF05dQhHNzwX/dMcf3AtoPH4SHGAOGi0s8ew57l09Bv6moEBIdg05RheOqVyajZuJXj+tlXzmH7vHGIGTxGiQdmEKpv8QyIWKXqXeJsDhIzqqivsqOFqrCDeNkgHf9qLTLOnkC7oX9VscWySnHn9k0kxs2l2Bkz8A2e55om3YNZWorvNi2heNtu6HiEhEX+BpDs5Nu4dvA/eaIq4oisv5UHUsmdAuTfyCIG/HIsifzzn4aOR1iFKMUeypPktRWTfIiIegDBYZFCkxhIPXMUe1ZMR98pq3H5RBKSE79Ev2mfcHdrS0Nc/D4BSZ/Ox4P1m+Dp0XMUeE6QdCbJUrhdlpHlcWKSH0h2tVmX4Hk5V3HgswUoys9D+6Fvo2LV2si/mYWkfyzArawMEg4MkMK8m7hTcAtFt28ReExEFN8pxIP1HkOr3i/71+/0SofJQeHJsYid7OmvfrfYIbMdosCh7gwwl+d2dblpF7F31XuI7joIDUXgLi64jV1L/obmvYajVnRr/9YFizyqnQGkM5GwYjqenbIaRzYuRVHhbXQb94GEVB17bNunOLVrA23vN/0TMHfIH8qOQYwkdwryymSSbDtwTydKMOIaeh2NfQ4KDVWxp6gwH0lx83ArKx3d3piDvOxrSIx7HyHhFRASEYlg9h4eieCwCghm30MjEBZeAbdzr+Pkns1o2eslAorHfv9CrGqPOEpLJozMbz9SANm9H72aYEtwd0wqyr+F+BVTUalabbR7cTwVydmqv5N/C1tmjUSbgX9B3RbtXH0k0VcSIDHupp89ivgVMwggtvK+Xvg22g2bgDrN2jpASlw1C9cun0HhrVw0ix2C6K5/tlkkKgBsQ9y4Xr/L9eonGQEBGDDjM+4ahdEY8OlnjlP8Y/HBLClGcWEBAkPCGG0pTvkCA2D4AlFaUozS4iIEB4ch5eBO1HnsSYrXcoG4QdJrgvoxRuaBRSoG6QmrzSRZNOWrnppugknfrluAzJSTeKhlR4REVFDuyCwqxtlvd6Bmo8dR6cHaDjcVEBCEJl0Higo4vyaJhJUz0PfdVQiPqoofd/wD5w/Ho8+k5QgI4cksU0VfTB9BgZiJhdzMX9DnnRUOIEjTmBbOHfqG55l2Cq0qDDI+iWxDdgNVFVxREj7UbdFe9ZG82g+ZZ39E0roFiB37IUIrVMIX772Kxp36oX7rp3HucDySk7bRPl2qy5gnr+dsXfDEWTb8KBG/mrTIsqgFyllTNkh2M0+CdGrXemRfueAsShsGTLMUOakXERlVDaEacOxXAoKC0GnUDLtDCx8yzh5TAEVWfgD5ebnYPGUYOo2cihqNW5LNfjl+APvWvI9nJixG8Z187PpoInq8NR/3123oCZLwWp7Cga9WvSsr3J2ncJBu0CK2JK6ZjWaxL6ByzYfxy4kDOPLFSvSduAy+oBBsnvkyGndmAHXF+cO7kbx/G3qMm29XGzS5rjq0rr6TXhOkBt/V/QuJQSZbzL8DJB1U6SKLCvLw5ezX0HrA66jbvD13U67WuZT1nEEnsOfjGeg7+WNERvG48uXcN1Cj0eNo2WcEVRt2Lvwrra4eb84n1m3/YAyq1K6PNoNG+7szV0xSSSoPAHa97p5AsgXGpaP7cHjzcjzz9kKqoqR8txOnvtmAvpNWUlxhAEV36U8AnTu0G8lJWxE7boGKOXZX1ln7c8c+rhW43Dcy9y1Q7QbTJQL8Y5Lt7mjeQJtb0IFivnrrnNfxxHMMoHblzDewGHQcCR+/h76TVyKcVRIsE1tmjULtpk8SQNcvJ+PrRRMQM2QsHnmiCwFy8XA8Dqz7CF1en4nqDZuVC5LMk0SU1sopwqWodrPWuxHlIY6riYRVM8gVdnh5Ehn92PY4cvHdRs+j+YZN019CdJcBaNCmK1IO7ULy/q145s2FDvV2ryCpSkbmvvnEIOFz/JSaF0jJiVtw5fQRP6PwLrlB6DP1EhpREYEhoeI4rWFgAH9o2haPdX+eXGtGCgeo86ipOLlrA3IyLlPA7TF2HirXqY+Ej6cj63IK+s+IozyJDFZSjP95bxTM0mL0nLgEoZH3lQuSm0l6zcsRvCXTtPrd7eyr2PrBaLTqOxIPPd6ejL572buocH91tOr/H7TaN08bTgA1jOmBlENf4/S+rej51kKwWt7VCz+j2iPRvCvg6Px6zDholQYjI/FDkQfZVWzm7nzu9gLFJ15TY0omJ+0iuUR9UkfmPEzBMB9cvUFTVKxaS1UpZO2ZXaNKnQao3aQ1AcpqWkyq93lnGX5O2IKwiIqo2aQ1qtSqh4MbluDcwW8Q8/wY1Huii5oUYja8dvFn7Fr8d/qdzq/PcEgChZbL3akmmXJ3ekmIRy6lqDRDnty9AacTt5BwCQwOxY2MX7Fzyd/RoucwSrrZa/PUYWjy9EA0aNOdGHR63xb0fHsRCm/lYMfiieg0cgoiK1dTMUkXCGX1kYy0vR9YrN2t2g0s5PtEznOXmMTB4LKaQJIjVoaB4oI8bJs3Gk/0H4U6zaSL0wWIc1IoPYUBNIseXsYgdt1jX63FT/Gb0bznC/hj5wF8OIWZUPwWM8pP32wEy49a9B6Oxl2e82eRAIKVhORLASBXqgLLOfkjWw4s9m2dO5qq623+PAasFrkv7n3kZvyK2DcXwBcYSEbfNHUYop8eiEdjeuDswZ0EUK/xi5GTfgkJq2eh2xuzEFqhsj16pY10+Q2hiCTWSE2YRwySIJHB2Q3LZpwM7iLQe8clHzeaAFoC1KrfSPyhmZYHOYZL7Fm7DAbQagbQMko+2W+wIHto41I82qEXWvZ5hbs1MbjiAMkyqRKece4k+k9fg7CKUeWCxMWU3aUl4zhA0phkAZnnTiF+5TR0fGkiHmzQnITChe8TEDNoDGpHt1ZF001TXqTcjLm41J8O4+CmpXj48Y7ITj1PFYdeby0CfL4yYpJ/kZbuMW3PXBoa0UGSkzo6SKpko7GNCwOeyygmCQYxlcUAqtO0rXaMZJ2cCOLvGecYQLPRe9JSajew37+dk4nk/dvR6tlX+PCEECReIDEXcun7RDTqpLUmPGC695k7XThYyMvKxJkDO9A8dggVk88c+IrusX5MN9Fi58f/sGUVajRqiWqPNEFp0R2c2r2RWjABgcHkzlnc9XJrdutcK0mJ6rmRumcuMYiSOg2o3wISuTqqu3F3x2xZVHAbQaFh8AUG8evKyoEEVW+d0xCLyV2F3/QqH2Rh98dYTqvfi0kyApU3vSoq4Jwjv41JqvKstws8Zu54POE1QWcrgQ1GyslU/tt238l5rNxnpMa/ryoJEiRHTJIKT2/gCbVmuzut2sCEg+bu7IqEHIz0mG+Q06uquOo9hOIGSeTXSqjc68ydbFOwx3A3/Mpzd54gadNF7lk5vZfEwWA1d4+Whmydu0A1ruyek2YYRnW5crk74auVA0AZrMfUj804ea6cTFWy3asrqxJWjyEUITY4CbhidA9GejFJ3Z/SceXP3DlB4q0GNVPuN2Kszd7p1QARt5QCo6qAO5a4maSPIcvKNWeSnG0QdSe2Ld1IjZ+zzqLRXzvIywF4u+zjDZIdl/h+fnyAGHoUw/J3aZ2rGKYqDa6Kg2NalZuvLHen5imouyrysXIGI38bk8SwiavhxzHSG4KlZcQZuyvLyzwSSBt8BZJgESysN64kzK2FUusEYEUpqS3Aom6MY9LUw+hq2kefBmJdWf7dqytLIlvMN/iNc+kjxkQh1wiyAIlYK12UGNaXNULiH7OnZL63ruOAa8P6/u6OT3fy3Ml/xNgUPRy9VEMusEwX5gTJ/l8STpCoxGNZ2aEIbUprjIFkmOY8y0JH6e6km7JBcrLIdmu6AW1FJ9vn5YKkpLdkiARatCW0cpIs6PLqrE+MK4s4UgZI6vd/N0g8geIguPMk71nw8kCy/yuLZJJ2XSAdlrk3tDR4QnibV6/8E9rRHPF4PE2FAAAAAElFTkSuQmCC",$="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b0dEy7V/F09vMBST6Y2wwjYNgzbcd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",Ko=e(18434),PA=e(59301),os=Object.defineProperty,SA=Object.defineProperties,Yo=Object.getOwnPropertyDescriptors,Ul=Object.getOwnPropertySymbols,kl=Object.prototype.hasOwnProperty,Wl=Object.prototype.propertyIsEnumerable,UA=(je,pt,Bt)=>pt in je?os(je,pt,{enumerable:!0,configurable:!0,writable:!0,value:Bt}):je[pt]=Bt,ml=(je,pt)=>{for(var Bt in pt||(pt={}))kl.call(pt,Bt)&&UA(je,Bt,pt[Bt]);if(Ul)for(var Bt of Ul(pt))Wl.call(pt,Bt)&&UA(je,Bt,pt[Bt]);return je},ca=(je,pt)=>SA(je,Yo(pt)),Jo=(je,pt,Bt)=>new Promise((Xn,dr)=>{var na=kt=>{try{wr(Bt.next(kt))}catch(In){dr(In)}},Qr=kt=>{try{wr(Bt.throw(kt))}catch(In){dr(In)}},wr=kt=>kt.done?Xn(kt.value):Promise.resolve(kt.value).then(na,Qr);wr((Bt=Bt.apply(je,pt)).next())}),Ca=({className:je,style:pt,checkAssistant:Bt,dataSource:Xn,saveChangeScore:dr})=>{const na=`\u8BF7\u6839\u636E\u9898\u76EE\u7684\u4FE1\u606F\u5BF9\u5B66\u751F\u7684\u7B54\u6848\u8FDB\u884C\u8BC4\u5206\u5E76\u751F\u6210\u8BC4\u8BED\u3002
 \u8BC4\u5206\u65F6\uFF0C\u8BF7\u7EFC\u5408\u8003\u8651\u4EE5\u4E0B\u51E0\u4E2A\u65B9\u9762\uFF1A
 - \u5B66\u751F\u7684\u7B54\u6848\u662F\u5426\u51C6\u786E\u3001\u5B8C\u6574\u5730\u56DE\u7B54\u4E86\u9898\u76EE\uFF0C\u662F\u5426\u6DB5\u76D6\u4E86\u6240\u6709\u5224\u5206\u5173\u952E\u8BCD\u548C\u77E5\u8BC6\u70B9\u3002
 - \u7B54\u6848\u662F\u5426\u5177\u6709\u826F\u597D\u7684\u903B\u8F91\u6027\u548C\u6761\u7406\u6027\uFF0C\u662F\u5426\u6E05\u6670\u5730\u8868\u8FF0\u4E86\u6838\u5FC3\u601D\u60F3\u3002
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",Hi="data:image/png;base64,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",El="data:image/png;base64,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",Ni="data:image/png;base64,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",AA="data:image/png;base64,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",uo="data:image/png;base64,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",qo="data:image/png;base64,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",go="data:image/png;base64,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3NtoSOqUYfw5l9gvlvvaql4PAgu5ZHSRWKnyIow0npc9jGbde8mXW2L0LScN3GgPugiM0n1PYt/Yt7/tF+z5SOJvCKwMpa66xGTIizA61cC8ujx4SWxRwwPmKLGyiolGoLWHCVXeH7nbz4nytzk5yGj2r/a1tf2LKNOhwrUhsDKVgqoSkyUvwlhbl18Dy46Oj2DhhtpNYgO8C8ahI4dc+33NvG8me3zLVkZ58Btu3cpvB6vSpA3Mlkf+bzf7Td7F4uds2xP1EwIrY3GrKLGVy1f4mj3ICxP1wK+prsk7rNAjpPVgu8SEvNwa3kleG9atZ9OnTWdbNm72LTHrkEDi+ryLgljVbZnmbye/xd9O/rRuCZeVXghMFkmf8agmsWMnjrOenh7H1PsZBlqcSJOB0Hj89uD1CGk9XkjMr7zomhTq6+t9S8wpjU7brOlSfD2TzRrf5hL7iuLpDCV5EFgoWAtHqpLEqJc8DQttl1gx8qLcCpnYc55J35WMfbvbb5LYD374A3PEV6dj6FMlqnnZr+dXYk6yctomrk1TyGkQMryLxd9ziX1Jg7RKTSIEJhWn/8hUllix8qJc0yOkU5gwsfgGchoV1i3QI6XbhL1+JJZi+bVEN4GtfnQVe2LrE+YkvW7pUWU7b9iv4I+T/7CvvX2vKmkqRzqc77pyXBnXYCpK7L0P3mM0JE6xwa2mJbuTKA1vfejIYXNOS6c0eknMSVZO20heDQsbTDGve2ytFhLjX0bxtxmj/9jS3t7oxCaO2/L/dxTHXCqepzh8O0mT3u7Ytj2P9DtH3+XfGV7I217qhtpJtWzr5i2uE+3SIzE9GttrazRr091+X/w7SHNE7btLmqhEBCEv8ZuW1Pj/1jtvmxOaWLcrun4nnU59qXlP835F0yctWaiBSUMZPCKVamJBc+H2CCm7BibSF7QmRoMhfnbxM/53kV28RH+XcqREbzep5mUPlD9tamKMVXE5/7/W/a077fmI228ITJES1V1imYzzrRRmL/egEitU5Fc/v8pOfHjC8RCdJMbbxCYYWcabxNqfdcxMTDY633UxyZxu2dBZYncfx/KJ02gPYQaS2NlzZ10vQW1iDQsKTzBiP/nUx6fjIrGJoyzbyifPfdqex7j8hsAUK0ldJUZD1TiFKSF3Q6DZj5YtXeZ0aXPbJ2c/YSQkrzB/3rycfmxxkhivibXxLhY7vBjouB8CU7DUdJSY00fShJbGsK+s4HNRhhBIXqtWrsoRj/UyJK/3j31g3eS4Pn/efPbYmsfYM08+bbZ/ibeScZEYz3Q1ryF3tLW1bXMEoPFGCEzRwtNNYvS2j7e75NEkGdBjnOwgS16UrmVLlprJq6mpYfQG8tmnnmEL5i8wt8VFYrxsarIpY39LR8fjZsZi8h8ITOGC1E1ibo+R9VPkCkymvKj2ZR8GyByl1dJ2FyOJTTKyIwe4xDYrfNsXlTQIrChc5T9YJ4ndvu3cg15mDUymvKg0ly29W/uylix9CXD6zMfWTWY7WhzeTvJM1bLs6IttB9o25mRQ0x8QmAYFp4vE7rg05NfXT5VCWba8zNoX7xBrD6dOn2IjIyP2zbGRGO+6W5cdNQ7yLhbr8zKp2QYITJMC00FioiGf/vH39fWxq1evml0cCs0J6Re/bHlR25xT7YsmzT3DG//dAs1eJPJpP0azfmKTR9joS7yz61p7PnT6jU+JdCotnlaVPzuaOHGi+clNoY+xg+CWLS9Kw+IHHmQr+Fho9vABf2vpJjCaxYg+X7K3mdnj0OmzIy7yGxmWfrqxsfFdez50+I0amA6lZEmjyjUxmjRDB3mRiJYty+87NshHujh7/pyF9viqX3nRGZrVxKbymljnvv37V4/nVp81CEyfshpLqcoSG0ukhJUwal6UrOWPLDfnh7QnkRrpnUZsLUZeIk6dJMZHsZjGRodfbn2h9VGRfl2WEJguJWVLZ9wlFlReNLnu5o2bGI1W4RSmT5/OqNe9PXx+7XPzI2/7di95UY3z40/O2E8zf2slMcamGyPslY6OjvznasfcqbERAlOjHAKlIq4SK0VeWzdtYTSihNlWZZMYNdyvWpFfyaBa1wfHjuWVgR950ZA9x44fi8u3kzOGsyOvtBxoeSQPhqIbIDBFC8ZvsuImsVLlNXnyZBMdvVCwS2xRwyIm9lv5Ug2qr7/PuonP1l24wZ5qXiSv3t5e87y4dHblmZnJRlKv8i4WD+UAUfQHBKZowRSTrDhI7G63hmWBvm2kx0aqednlZJfYp599ys5dOJ/zydMQn2bt5MncEWiLlZcoq7hIjPcTm8Ub9l/dv39/fi9fkVlFluhGoUhByEiGyl0s3PI3a+Ysdv/cuWza1GkFuycU+jCbJvjYuH4Dowk/nAK9HaVhqGnoHQrTpk41RUkjZdAoqzTAoQhB5SXOp+WSBxebLwqs28S6Vl0sWOpiJpXezrtYnBLpV20JgalWIiWmRzeJ0QgQkyZNKpjr/v5+9qOTH5lvCA0+NgyfRozXorKMuj0MDAyY5xYrMTpp7py55qis4uIy5CXiKiSxmzdvsld/0CUOVXuZYp9OyFRt37VrV+63VYqkGgJTpCBkJkMXiVFjO70xDBp+ePgQu959fez0IBITJ8uQF4l4Af84nGRLwUli1NZGtUG33vwiPSotuSQupCektzV9scn9E4WIEow2sIjAh3lZXdrEqFE9aKDHPqu8KB6aRPf1N99g1CXCKdjbxMQxpcqLxPnwQw+zp7Y/aQ6uOGf2HDNqe5uYjvKijPBBkuaP3sl27XvhhQYzYwr9BwJTqDBkJkV1idGQNbNnzQqUZfrW8jifUdwpFCuxUuU1d86cu+LiY4pRvy8KK5YvH1sXEtNVXmOMDbYwNXy7i7+dvDtQ2tiOaFfwCBkt/9Cvrurj5EI+YCD1iKc3iMUGekQ76TF3pZ/HybfffcccwNDt20Z7VwlrOqmj7KMrV5p9zqzbxfqHH/2I/fjUj8VPcyZxkqv2IZU6MyFTuY23iX2qQl4gMBVKIeQ0qCoxynZlZSWrq601e86TSOivhg9DXcW3074KPhw1dbEQYXBwkL3c9YrjJz/iGLH0kpg4zmnpJq8aXnNc/OASPvT0wrFaltP5VEs82HmQDTsMy+N0vE7b+Ozmp++9nRx/fRtRBsbvjIgSgMuWh4DKEvMiQCKjP5LaHT50NUnMbwgiMSd51dXWsSWLl7B5999fUFyULppU94PjH7DuGzf8JlO/41KpU9WVE7bt3LlzfEbgCHIBgUUAPapL6iyxUpgVIzG7vKbywRiXLlnC2+tm59QEndJD59KjY6Fp3pzO03Ubr4mdrMxUbN+9e/flqPIAgUVFPqLrJltiG3ln1xmu5O3yogM3b9zM27mcO8iKiGgyk7PnznF5fchocpNEhRT7Ubo6taP56eYrUeQbbyGjoB7hNVV/OxkWmsqKSlbNv48sFKiX/OhIbkP7qdPjDfFO5167fp19/4c/4NO3vS9dXosaGvhXCt6PrE7pKts2gz1sDLJXDhw4UNjyISUINbCQwKoebZJqYl5dJaxlZf/siPZt2/oEm8o/PxKBalxXrl5hP+Zj53d3d4vN0pePb97KaPgfqhma33HywRZ7eS9+FQN/z3IswzJP8s+OrpUzfRBYOWkrdq0kSKwYeYnisUtszuzZbMO6DeabTxLJqdOn80avEOf6Xa7kw1nTY6d9FAzr+T/x7E42YcIE6ybz06c3334rZ5syP1Kp9+uqJz319NNPj38eEXLi8AgZMmCVo4/742QQeVF52XvsX7p82Wyc73ylk7373tGC0vFT3l9YvYY9yMfkp+F+6O2mU6C3rnZ50XHWLiVO50W6zTBW9Q8OdPJBEcerqyEnCAILGbDq0cdVYl7yoseyfz78Q9+fHVGn1CE+qkWpgeQlZv0mQblJjPrGOYX+/rsfrzvtU2Eb/8x+zbAx0rmvq0vubMYumYPAXMAkaXPcJOZHXjQYIbVfBfl2Mui9YZWXiMNNYpPr7g7MKI4Ty4F7QwKJ30ouDfYY67/5Umdn55Sw0weBhU1Yk/jjIjG/8hIjqRb77WTQ4nSSl4iLJEaN9dYww6W7R/+94YOsxyq5bhjrBm4NHuRvJ51NLCnREJgkkHGIRneJFSsvUWZhS6yQvCgNNKa+vfOrm8AKNfqL/Kiy5G9rN9wevfNi66FW54Y+CQmFwCRAjFMUukosqLxE2YUlMT/yss9qVFdXZ47JL9ImljSirE7jiJnpNtgmo5u90NXV5dyoJzIXcAmBBQQX59N0k1ip8hJlKVtiQeRFaZnpMjT2tWtl7WIlsJS85A37W3r7bu4/ePBg4aF3A1wJAgsALQmn6CIxWfISZeolMWqvojH1vUJQeVG897l8uuQ2UKNXWlTYzyX2xNCdoQ4+nliNzPRAYDJpxiwu1SUmW16i+NwkRj3w6ZOh859eEIc6LkuRF0VIfc2O8r/LV66MDRtE1/7cpQZGAynS8NyqB56F7SNGtv3IkSPVstKKnviySMY4HhV77IclL2sxWkexEPKi3vOFQqnyssdN46HRzE319fWOk+eSvNavXc+Pmcnee/89c9o4exzq/U511tdNbtqxY0fJHesgMPVKV8kUqSaxx7c8zqZPm+bIymlUCccDfWwkidFnRBcvfWZ++lPoFNnyKnQt2ifkJYbmJsnqIjH+7eTBqkxVMx/Z9bZXPgvth8AK0cG+HAIqSYw6em7ZtDnvcxuZ8srJvMcPmfKi4aq/sGYN/4D7M3POSqc3j3Z5ieTpJDH+XdQLfHjq50qRGAQmSh5LXwRUllgc5EWFQPNVrl+7ziwP0fb12b1ZxUUh1fNJeakWSjVEe9BKYizVsfTBxT+5fPnyO/Z8+PmNRnw/lHDMGAGVGvZv9t1kh187YvaNiou8CPRk3g9MBPp4mwZUfGjZQ2KTuezp7WWvvfG6OZVczg7+g85ZvWo1o4lT1A/GnlNnTv/T22+/XRkkrRBYEGoJP0dFidG3jeLzoHIVT6mPjffPncvEHJLWNE+enP/1zY2e/PH1r12/FguJ8Rpj06eXPvsu7+xaYeXgZx0C80MJx+QRUE1iOspr7RfWsnWPrc2T2PRpud9FEvwbfKIQpxAjiT3X23/zO8VKDAJzuiuwzRcBlSTmK8GSDpJR8yJ50aMeNcZbJUaPj9RZ1h56HGpg4pgYSezLPX03/47XyPIb9kRmbUsIzAYEP4sjkDSJyZSXIG2V2AyHz4ioY+11j6Gr4yIxxoyfamlv+1u/EsNbSHEXYVkSAZXeTpaUkQInhyEv6+VoUpGhoSE2aVLuJ4NXP7/Kjrz+mvVQ1/UZ02ewTRs2xuHt5Lf3NjZ9jddSs66Z5TtQAytEB/t8E4h7TSxseRFoqomRvM7xyTvOXzhvTuJL20lgXoF66lOIUU3s51s72p7nNbGCjkINzOvOwP6iCMSxJlYOeVkhU03srXfe5t9CXja/caTuIlQzs4eqqiqzq0RDwyJWU13NXu56hQ3cG/AwLjWxVCr9fPOexl/kNTHDnn/6DYE5UcG2kgjESWJhyov6rtFYYA8tXZY3WYeQ2KXLl/LKgmpbD3Bp0ZyR1o6sVHM7yr+HFCE+EmN/2byn+ZecJAaBidLGUiqBOEgsbHkdfu2wOc/jvPvnscfWfKGgxOjxch4X1qJFi9jUeufhfEh6L/GZk2haOBFiI7E0+4vm3c2/YpcYBCZKGkvpBHSWWLnkJaAXktgFPnwPdXilR0avcPrMx+z4ieM5h8VIYn+2d8/eX7NmrmADmfVArINAsQR0bdgvt7yIK02Y+87RdxlvtM7BTDWvhQsW+pIXndjAj6UheKwhLg37Rpb9aktbyx9Z84YamJUG1kMhoFNNrFR51U+pZ9sefyLvcZDAmt9r3ntsdAPtVhNzO15sHxwcZFRTO3/hAhsYdJ47Mi41sTRL/e/mpuavU94hMHEHYBkqAR0kVqq8BMBHV6xkDyx6QPwcW966fYsdOnKY9ff3j21zWvErMZrk4woftZVmDqdalp8QG4mlUn/Q3Nj8GxCYn1LHMVIIqCwxWfISoMKUGAmL2rncaloiDU5LGt11w7r1Zp8zp/00ccghXkvUIaRTqd/z/c2RDhlCGtUm8N3v/MP3f/pnf4b+p7ldpZTKlhfl7crVq2a71VTbBCDUPjWXj0JB493TI6VboL5f1KeLGu/5m7ecwybV1PBPi6571uRyTuI/POVFo1u8+XpeO5w9HlV+89bCLWjEV6U0EpIO1Rr2a6przH/Ybvhp0lnqq0V9r1atXGUu3Y61bqf+WYNDg2OTclj3eY3nL44t1LBv/QBcHF9o6UteLuOLFYo36n2ogUVdAgm8vko1seGRYXaV15ZoFFT72zshLyqi+byv1tIlS1nDwgbz2AyvSZGk6K3hyMiIWYo0igSNlEptWCQYitNeexLFXUxNrLKykk/lljv+P8U7d84cdrOvz7MmFld5EcvcuqmgiyUIlIGASm1i9jH2rfIiFNRu5DT4IO2j0SJIZHYB0j6v4NWwX0g+dN033nqz4LeShc6ntBXqYuGVdhX24xFShVJIaBpUepy0Dk9tlxcVj70GZC0yqon5kZfT5ByFHicLyQfyulsCqIFZ70SsR0JApZoYPa4NDw/ncKARIp558umcbcX8oMfUkydPmm1pK5ev8NXFAvLyRxgC88cJR4VMQCWJ2bN634wZ5uSxJLdiA3UuPf7hCXPiEXHuqpWPskX8Y2x7EI+Tk2omuXZ1QM0rlxoElssDvyIkoLLEqNGcukRQzWjWfTPZFN5Y79RAT7W3a9evm21L9HKgr78vhyg9bm5av5HN4FJ0CvSYSaKkT4jsAfKyE0Ejfj4RbImUgMoSs4IhyVRVVrF0Js0y6Qx/I5lmI7xRvdDkIl7yssZvX4e87ETu/kYNzJkLtkZIQBeJFYMI8iqGlv9j8+up/s/FkSAQCgGV3k7KyKCXvOjzHbeAmpcbmbvbIbDCfLA3IgJxkZiXvN4/9r757eEZ3tvfHiAvO5H83xBYPhNsUYRAHCRGHWDdGuxJXp+cPWvS/oB/smSVGOTl7yaEwPxxwlEREdBZYo88/Ig5KYcTOqu8xH4hMchLEPFeohHfmxGOUICAbg37hTq/OsnLiriuti6v+4V1f6FOrnSc7p8HWfPqtY4amBch7FeCgG41sbl8GBynQCNbiMdG6/4aPkSOCPa+Y2I7LSEvKw1MbJtLA7+UJqCTxJw6ohLcEdtnShWZCt7Lfx3bvGGTJ3vIKx8RamD5TLBFYQK6SKy754YjRRqSZ1FDgzkUDw2Hs/2JbeawO7W1tWzB/AWO59BGyMsZDdrAnLlgq+IEdGgTozHBaPJZv4Em5uh89eW8EVEhL3eCqIG5s8EehQnoUBN7j8+S3dPb45sitYPRgInWAHlZaeSvQ2D5TLBFEwKqS2yYj9R6+LUjviVG3SfE6K5UBJCX942IR0hvRjhCcQKqP07Sh99bNm4uOJ4+TeDx5ttvsd6bvSZtyMvfTQeB+eOEoxQnoLrE6JOiNavW8PHyc9vEaChqGjOMOrGK2hfk5f9mg8D8s8KRihNQXWKEb87s2WzJ4iXmENWfX/vcFFcfn5hDBMhLkPC3RBuYP044SgMCqreJEUKalHZoaMikSbMY3bp1a4zs7FmzXUdipYOS1MN+DIrHCmpgHoCwWz8CKtfEZkyfwbZu3jIGtaenh50+c5rR9oULFjqO8koHQ15jyHJWILAcHPgRFwIqSoyGoN6xbTujKdyKCZCXOy08QrqzwR6NCaj4ODmTj6UPecm9qSAwuTwRm0IEVJPYlatX2KmPT/smhJqXNyo8QnozwhGaE1DtcXL5I8vZkgcXF6QKeRXEM7YTAhtDgZU4E1BNYg28wX7lipXmR9127mfPnTW7V2SzWfsu/LYRgMBsQPAzvgRUk9jkyZPZ0sVLGU2cSx1db/ARLGissIuXLsa3ECTnDAKTDBTRqU1ANYkJWvSGknrlIxRHAAIrjheOjgEBVSUWA7RlzwIEVnbkuKAKBCAxFUqh9DRAYKUzRAyaEoDENC04S7IhMAsMrCaPACSmd5lDYHqXH1IvgQAkJgFiRFFAYBGBx2XVIgCJqVUeflMDgfklheNiTwAS06+IITD9ygwpDpEAJBYi3BCihsBCgIoo9SYAielTfhCYPmWFlJaRACRWRtglXAoCKwEeTo03AUhM/fKFwNQvI6QwQgKQWITwfVwaAvMBCYckmwAkpm75Q2Dqlg1SphABSEyhwrAkBQKzwMAqCBQiAIkVohPNPggsGu64qqYEIDG1Cg4CU6s8kBoNCEBi6hQSBKZOWSAlGhGAxNQoLAhMjXJAKjQkAIlFX2gQWPRlgBRoTAASi7bwILBo+ePqMSAAiUVXiBBYdOxx5RgRgMSiKUwILBruuGoMCUBi5S9UCKz8zHHFGBOAxMpbuBBYeXnjagkgAImVr5AhsPKxxpUSRAASK09hQ2Dl4YyrJJAAJBZ+oUNg4TPGFRJMABILt/AhsHD5InYQYJBYeDcBBBYeW8QMAmMEILExFFJXIDCpOBEZCLgTgMTc2QTdA4EFJYfzQCAAAUgsALQCp0BgBeBgFwiEQQASk0cVApPHEjGBgG8CkJhvVAUPhMAK4sFOEAiPACRWOlsIrHSGiAEEAhOAxAKjM0+EwErjh7NBoGQCkFhwhBBYcHY4EwSkEYDEgqGEwIJxw1kgIJ0AJFY8UgiseGY4AwRCIwCJFYcWAiuOF44GgdAJQGL+EUNg/lnhSBAoGwFIzB9qCMwfJxwFAmUnAIl5I4fAvBnhCBCIjAAkVhg9BFaYD/aCQOQEIDH3IoDA3NlgDwgoQwAScy4KCMyZC7aCgHIEILH8IoHA8plgCwgoSwASyy0aCCyXB36BgPIEILHxIoLAxllgDQS0IQCJ3S0qCEybWxYJBYFcApAYYxBY7j2BXyCgFYGkSwwC0+p2RWJBIJ9AkiUGgeXfD9gCAtoRSKrEIDDtblUkGAScCSRRYhCY872ArSCgJYGkSQwC0/I2RaJBwJ1AkiQGgbnfB9gDAtoSSIrEIDBtb1EkHAQKE0iCxCCwwvcA9oKA1gTiLjEITOvbE4kHAW8CcZYYBOZd/jgCBLQnEFeJQWDa35rIAAj4IxBHiUFg/soeR4FALAjETWIQWCxuS2QCBPwTiJPEIDD/5Y4jQSA2BOIiMQgsNrckMgICxRGIg8QgsOLKHEeDQKwI6C4xCCxWtyMyAwLFE9BZYhBY8eWNM0AgdgR0lRgEFrtbERkCgWAEdJQYBBasrHEWCMSSgG4Sg8BieRsiUyAQnIBOEoPAgpczzgSB2BLQRWIQWGxvQWQMBEojoIPEILDSyhhng0CsCaguMQgs1rcfMgcCpRNQWWIQWOnlixhAIPYEVJUYBBb7Ww8ZBAE5BFSUGAQmp2wRCwgkgoBqEoPAEnHbIZMgII+AShKDwOSVK2ICgcQQUEViEFhibjlkFATkElBBYhCY3DJFbCCQKAJRSwwCS9TthsyCgHwCUUoMApNfnogRBBJHICqJQWCJu9WQYRAIh0AUEoPAwilLxAoCiSRQbolBYIm8zZBpEAiPQDklBoGFV46IGQQSS6BcEoPAEnuLIeMgEC6BckgMAgu3DBE7CCSaQNgSg8ASfXsh8yAQPoEwJQaBhV9+uAIIJJ5AWBKDwBJ/awEACJSHQBgSg8DKU3a4CgiAACcgW2IQGG4rEACBshKQKTEIrKxFh4uBAAgQAVkSg8BwP4EACERCQIbEILBIig4XBQEQIAKlSgwCw30EAiAQKYFSJAaBRVp0uDgIgAARCCoxCAz3DwiAgBIEgkgMAlOi6JAIEAABIlCsxCAw3DcgAAJKEShGYhCYUkWHxIAACBABvxKDwHC/gAAIKEnAj8QgMCWLDokCARAgAs9/65tG/dR6Vxhp1z3YAQIgAAIRE+jpvsF6bvS4pgICc0WDHSAAAioQKCQxCEyFEkIaQAAEChJwkxgEVhAbdoIACKhCwEliEJgqpYN0gAAIeBKwSwwC80SGA0AABFQiYJVYhUoJQ1pAAARAwA8BkhiF/w8aD44syRCW/wAAAABJRU5ErkJggg==",Hi="data:image/png;base64,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",El="data:image/png;base64,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",Ni="data:image/png;base64,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",AA="data:image/png;base64,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",uo="data:image/png;base64,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",qo="data:image/png;base64,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",go="data:image/png;base64,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similarity index 94%
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rename to p__Classrooms__Lists__ProgramHomework__Comment__index.89a82cf0.async.js
index dfcb2bfd8a..4a7fb07561 100644
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",O="data:image/png;base64,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",D="data:image/png;base64,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",Q="data:image/png;base64,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",x="data:image/png;base64,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",b="data:image/png;base64,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",U="data:image/png;base64,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",j="data:image/png;base64,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",L="data:image/png;base64,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",N="data:image/png;base64,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",_="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b0dEy7V/F09vMBST6Y2wwj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",O="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAgCAYAAAD+Fz2gAAAAAXNSR0IArs4c6QAAEv1JREFUaEPFWgd4VWW2XecmhNAEJFQpAYHAo+OMBBBHkBJCdQhKqOq88j2eQ31Kb6KASWBgEFBAmkLojmJEihAEJaFEejUQSAIhEKRLSLjnfXv/5fzn3ht4880r99PvknvKPXevf6299v63BQB5R5dUtwoK4wDrFcuyqsLywLIs2LAAjwXA4r8tC/Kd/wHL8oh3eZzuReeJY/yH+FsfV3+L82wAtmXBQxfSv/m7AMvmS/nY014eL91FXk93FP8Btq3f6RPb5m8Tn/M/xXX0Of+vrqXPbS9s28vHvfROp3opGjZsr7qXPEddL9/pvvT8fD2/0/n0b/W9XvG7jfPF89D9+Duu2rCT7eBi71VvPybLyktZUh1W/lHbsp4VIFBQCCABEkVKB04e1+cZ52iQ6BIC1gBJA8THFPgSe1jwBgJJRf0pIFkyIBxs+cMVrCLwCgwHJA6EDp4bKHE6BVQEzASRgy8BEvd9zOfyeQZQAiS5WORx8xy1eIoCSSwo3ESx4GbW9dT5a2Aj1gm6YAb/SE8QB5sB0gGnY4pNxCARcBFHN0MCMYnPV0wz3v9vQFLBlHAaIJlgaMbJ1e86RkwywYAXtpdYERikQOCZC8cNknMPudwSres/zbsCj6eqkidHotxMIpDEMSVjCij6IABILH0EspBAfZ1ilw+YLrkz5E2L3P8YkxxmsMw9kUmO3OlACt3TIAkwhdwFZBJLsJA3dY7feZL5ioXqneTOuvbTPNuRNt8co0CS+UYyifOGkVsEcIFAknIXACR3bgqQk/xAEiA/6WXKHWcQ1nTBFokFS5eSLYcpMmf5SpoOnAOAYhOBJKMu7y/P0YBISZVy5wuKS/L8cpLDJOvaj3NtlcydoJnJXoKDIFgeC7ZmkGJFICbJZC9XPd/3/wEkJ/9IE6FzEoFkyRwjk7OLSWrFO6tfGQcdWMkkBZKQuH8AJPlsvrnKyt33F5vdkmEARC4xpEw7NpWbxPn+15hMckASwJty5+SsQC7wH5Y7dlzOy1skkwgk6bCU/dOuzmSVYoMA08wbdJlfTtKuzX2uOs80FE9jknVt7xxmUOCAm0xSzo6MgbDQRYMkjYbJILpEmQ3T5f1v5SQDJErh5Nokj1idhM4Rkxzbray2DqDLetOZyi6rvKNkzgckZhI5vAAu0GWv3QAK4JUki3tb136YbYt6RtYdiknEIlWXaLaYrs0ByMUk43pdK+n6yDcn+bo/twvkbKEs+BNy0qMH93Bi50Y0jeqH4JBQTR2yxIpJBFLO+WPY+ckUdP3zTDxbM0LpnsxJbiZlnzqIlA0L0fk/PuTaZ9/q2YiMeQfPVKkuLbXDJp3gbBtb541G/TbRqNPyZacG4rUg6h9lwemeKgf6OjkTWCtnT4JjEqjmMaXLDyRlBASbBIMcNrmtulngilKUjzOTPDKXAQ9u/wrbW4hSZcNgBRfzK3qLKmb5fhJACvzuxdNRJqwy2v/rZJQqX8kPJLrP1fNHsWPBRHQdEYeKtRqApE+iYzBJWObsEwewZ2Ucuo2agzKVqmHXkul4ePcWOg+dAU+xYrpOysv8BSXLVkDxUs+wI9w8/W006tAH9SO7iHO4uHWMiZI0bTJkER0QJJLPq8nxBkBu+VIBVznEseBmIeuwzzy/8FE+Dm3+FHmZ6egxdqEsgKVkAsg+cwhHkj7HvbxrHKOQ0JKI+EMPNO3YF7CCRSeB05boOBQU5CMlcR5yL5zCH6cth8U1mgCJFtWtq5ewe/H7HIzOw2eh9LOV/UDKOX8U2xZMRNSIOFSq1YCPu0FSRaqN7DOHkfzZDHQbmYBnKtfE/ds38d3c0ajRJBK/6/3P2lJvmDwIzbsORJ0XX2V2bH7/bTR6NQYRkVHafgvJDACSKnyLAInXX3ZyvE3rWwS3aFY4IMn2DitckOsaChSd92tWOn5OWonbOZkchJgPvpDMEEy6ejYNe1fFo2J4BCLadUdwSAlknUzFLyk7EPFSNAdAmQcC5+blc0jd9AluZl3g6wfO3gwEFxOsVDBYFh7cuoHtfx2Lms3aoGWvtzVAfJ5t49o5AVCXkfGorCROWWn9LqQr98JJ7Fg4GZ3fmYGwGvX4s2sXTiK0dFmUCaumOwcbJg9E8+iBeP7FjnzO5mlvoTEB1Lqrljin1ePUYGxcTKtutJxM42Bl745jk+CApHKLwyY/Jnn4bOkRHJDIgid/Nh23rmQgLDwCnqBg5KafRMz0z109u6SEYQgpURqdhn4ADwVaApu2ZSXO7v0G3d6dh3KVa3BttX3+GFzPOItKtRsiOLQErpxOw4CEzXwdfZ8DkpDbh/duoXjJMsww31fO2SNC4kbGo0KtBgwaM1DmBvEmjMOvVzKQNHsUOvzLJFSp14wBuX/rBu5cz8ad3GzU+X0HeDzBWD9pAFpED8LzrQRAm6a+iUYdY9CgdbRRuJp9O5XrRD9OtY5cRarqHdLxK7s+0ja7KJDM7oK706CaqE5O2rloAuq06ojaL7RH2ldLcfnYfsS8v0o7vusXTmPPsg/RJnYEy4XqThBIBQ/vY/O0P6Fhu+5o3mMIsy4pYTjqtu6CiLbRSFn3MdIP7kL/hM0ICgp2jI1EQtt5P2jEBznnjmLHxxMQPTIeYZSDpLtjkGQ+elzwCLdzs3A94zQObFqMsFr18biwAHdvXEVh/kOxIDwWuo5IQJmw57B+Yn+06DYIdVt14ntsnDIEjTr2Rf02XeGRtZUIvnR1vj0+r1f3BWnBELPEs4h3K/v7WZyDlDypPplydoHstJY7zSRlqx3W0f0Of7kYmcdT0GfaSt14/TlpFdJTd6L3hMW80vkHG3XSzkUTkX/vDnqM+VgImJJeACnr/or0A7vQP36TNBTA1r+MQuFDETh6Ne8xmCVu78o4ZB5LdUFFQfIWFsITTDnOZJiNNrHDEN6iHXYvmY6sU4f0dZTLKoU3QOlK1fBMxWooG/YcSleoDIsWCIB1E2LRottg1I3sxCzbMHkwGncigASDPK52kmKScoAMA0Amwq+ekgBl7ZypTYI/SE6AzA6Cr1tzOhCmu7Nw6G8CoD9OXaEB2p84l3NJjzFu46CYdPDLxcg4/ANen7HG2bogAbYsDdCA+E06Bx3fuppXOL1O7tqMNv2H4fnIzrh09EfcvZblAuhOXg7S9+9AvbZRKFOuIh+TaxU1GrdC+Sq1kHvxNB4XPkLZSs8hac5ohLdsh5bdh8htDBtn9mxB5bqNUK5KOAMgABqCupGdyXJgw6RBaNLpddRv60icKFBV4StqJFexKm04Mc5dxHphCYCEkruYpCyxUQOx5vttOSiZU7baAenQ10uQeSwFr01ZrveRdi+ZhsKCfHT580fyO9WekmDS0W2rcTr5a/SZthwhJco4+0rwIGX9fGbQgPiNsIIoB8luhaAhvhjRA637D2O5ke11F0BK4qJGJbCL4y0BCZJL7mSBun3BeAQXL4FX3h4v8lJ2Br6d+5/4XY83Ua9tNAdz7YRYtJQAEWBkGpp07IuIl7q5Og5OF0E1TX1AklsWXFAb3Qorc8cMv2apq0OgHZ7cG/Jp8fjlJ7nfQxJ56KulyDyRgt6Tl2mAdi6cwOah49APXAxRMnfy+4048f1G9Bz/CUqVq6DNCD1T6roFnIMGxG1kiePgSpAof34+sicD9HyrTrpGMhEyAaoY3kDYdNlW4D056fZUgzV106e4evYIeo5dwMHevXQ6G4Tu786DhxaI14u14/uhZfc3Ua91Fz6HclKTzm8wQH57RLSXxA+tcpLZmTCbqzInUg7K3PEhqZ/fno6WO+5cK4aJ1c6+XF+jtiFMJgkWHd7yGUtc70nL9HbDj5/H4/6v19F15GzNRrFBKK7/ectynNu/DW98uAYW5wrFTCBl/QJcOLhbAMQmQRS+tJdEr9UGQOIJZREtUfIFSJ3jBkm0hejai4eTsfeLOYiZtgLZJw9i//oFaDtgOMKbvyxzh41EBmgI6lFhChvrJg5A006vc/ng2y3QG3kSKGEcit7wI1JZl7d/wAwyAy5+l2EcfLYXKDBe9gMOKIGYlLZlGTJPpOK1iZ/JDgVw+G9LcPVMGnqN/0RYYdcurgXKUbkXT+G1iUvlMRVkC6kbBED9P9og7LlhMLwWAdSLk30dStjyZYIUCCClcZzMjZxEID28fwfrKad0jMGp5K9QtX4z/OGtseLOvJVkI3HsG3jBYNC6if3RlBnUXbeEBGkMhuhtc2cvKVADlcuAS9sIIOWkTBYEAEm7KiF3FBSzRvIF6fCWFcgigCYs1buy6anbcXzbWnT4t6koX622McMgFsmWWUNRvlo4Xn5znN98Q+qGhQxQ7Efr4AkKkd0G8SwscaN6oXXsMNSlolH2ETVQlqVtNuUgkjjXy4ZwXDonieJ22/wxyL1wmh0cWetioaFGQxNIHNMXL/R8iyWOQCPJa9olFg2IQXor3L19bs43CPAEkwKClPHddA3Q05hEbRcFgszeen/IVcyqwvMbAugAeo9fIhjpsfDowV1snTuag9ikS6xrCIWK2h9WzELrfsNQs2kbhyGy53dg4yIB0Kx1Qv6UsaFJB8tigCJjh6FG4xdx6MulaDtotItJ1LOjOiggQBIZE6TcS6fxw7JZeHD7JqKGxyGsVgQHMf/+bd7fCgkthTXvCYDqt4ligBLHvcEANXy5pyFf7saqbppqJhUNkpWxdZoNjzMnwPWPaQx85E6DZLCJ5M6jBkiU7FA+IYBOHkSvcZ/qVhKBlLZlObKO78eLMUNRreELfOz+zVzsXRXHLIoaEY+gYGKIsfFnWThADDqcjH4z18paxnGO9KNXj+7NFvfSkX3weh+jF/UAQ0I0SNTqoU5CkQBJkKzCApza8zUOJ61CidLlUJD/AI079kXjDn34Xr8c2Inj29ej1/hFuJZ+DKUrVOWGKYFHktcsqj8atOsh2KgmhHynf8RBZwiF2es/KWRlbJ0qTAIXnY5kuXOSaOso4+BiEgGldlp9chL14wRAi1zTQgUFD7F/7TzkXT6P0mFVUKx4KG7lZHLh2m7wuyhXNdydE+WkUOrGRZy4+81MlDnI2Z4oePgA6ycO5N9AueKlIe+Jlg/FQcrd0wGycf6nbTi+bR0bmZpNItG23zCcTd2OY98lInpkAspWrol9a+bg0YMHaP+nca49H2bQ2NfRrGt/NGxHDHJ3BcSOq9OQVbWRtuAB5M7K+Haq3vKWtkeOXDFcLgmSCPJnCiRiHFNWT/7I4paanNnp3MAkudLFrRzp8sKLK2fScOPyOXgfF3DvrWazl0R3wZBSZ+bOwo1LZ3AvLwd1ft/eMBfiGS8d+RH7vpiNf3qlN1p0H8wGhBeU6nh7KAcdwc4FkxA1Mh4Vazd05yD5F3UgqMnbLHoAajVqxZ9SIbxt/jjcv52Hxq/2QdqWFWgTO5x/1293b6Ag/xGCQ0K4AKcOeGTMv6M2PaPfQIrKM6bkGXtEej5PTArRDQRAgjq6KBTAkPX1B0m1902QVEvGBMmUJ7d5UN1w2hNyts35m7TUqnPo28Rz+Mqd6jyovOktfITsM2mo1bQtLxh1vglSzi/HWOKom03tm0DF7ONH+QhiWbREM1VuGeX/do83+25cOsdd+C7vzOSxtJO7NuHnb1ZpsEuWfZbNRAi3sQJNDamZO2fKRw70Bdw6ty4mTZE2W9pZCQpP7fjkFTPQKggKqL8HJA46j3EJkMz7qvEs9mW6a+HIr5Jhc0GZ5kYcF6xWe0kKpN9u38DlE6mo1bwtQsuUD1jM+tGK+2niU8oneVkXUL5KTdFNJ8Pw2z1upBIYVLyWq1JdtnWcjoC41lfunG1z4faEa3QVt3gMBkj/aMkkESQxreMEyWGT+kyB5OfufLsNmqFOb09Inti2cAYjfW2+wzY3g4ytc6OQ1c1V7e7cIMn62t0iUr85oODJDw2Q3ONcMvAy4Yskz39Ii10ESMZ0ke+snF+r52LS5CuApQcXldyJKt23SxAIJCGNDkiBd2XVIvCXO7VJ6J4ScrFCgukCSckYM5GToJZk89kDMUlv06tuAy/EJyEkAq2YxBvZVDdp/HxHjI3ZO7O3JoF0RrfUqJY5POIwCTauEoPW2LbNo7/+TPIfRgyUC9QAvDYCcgjF1dPTHQPBTi1l1PaX+c53/EuD5BrgN+TOmNEz86WSuSfJnXg2EWEOPHdO/h6QZHIPCJIzYuw7KeSSO1a2opumFpBoZX07pXqBjaO2bfPwfFEgmQzwBUkB4d7wEyvaL+g+3QgBKu3KqmasMiw+XXINkhzqN+otQSBluX0nhdSCkH07KWn0rOLZHJBUt/5JMBU9vSqTPt1Q1zTGUApv+5hTrU5D1D3OpXPVzeDiwc348SRIcYD9ikvupGHQY71GLnGtWBlc1XLR+UVuT/gzSUmlmWMokKI3F3BbQ00Yaek1meQ4UPciUxItJFCMK4uutXpWX5D+O0x6MkiyXeQDkp7mCTALzsZAztzRyIZt28meYtZ7JesNzPovre3F1xCIb8QAAAAASUVORK5CYII=",D="data:image/png;base64,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",Q="data:image/png;base64,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",x="data:image/png;base64,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",b="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAgCAYAAAD+Fz2gAAAAAXNSR0IArs4c6QAAEyhJREFUaEPFWwl4TefWfveJzIkhUnNQQ7TETBGzGtoU1bpoixa9bd2rWkVVJ1o1lFtDVYdf+Xu1fkqFqqlURSIINcVMzCQhJIZEZDz7Pt/6hv3tfU7C7T+dh+ecs6ez93q/d613DTEAIDdlaQ13EWYZMLqYhlHVgAHDMNgu/m6w7/RFbHe+8+NMAKZhwEVnAqZLXMOkU2nf/V4uN7uKOJ9dkf8DTFO9sy2mSb/Gt9NHfh7bTv/luWy76YZpumm/m72zQ90m2B2bbnktcYw8X7yz6xr0M/w8fn32Wf6umz+3djy/H3Y9fo9yH3t62qbdq3g66/mAdBfc2w3DZ0KNmI+vGAycooLiZANGGAyXBYgEieEDO0i0hYBj//g57FY4Hgbc3kCSVr8PSIYwCBlbPJCElRtegmGBxLZzI8ptzs/MoNJgdmMaAiB+3WIyvjSibnR2Xxwgvl8/Ri6e0kHi55YKEoHJDeWCmWUYrqbG7aNLlsHE85woLkiQuB3vzyQ6XjJNe/+/AUkaU8CpgcRXr1ixknFi9dv2MSZprAHcMN2MFZKdFhjyOM4eO0iK5d7A+xNMIpvCvdy4feS7NABVuaElMzgrbCCx7wQtHcXZw/0ed30OMG3uTnNvysn9jzHJYgYtv1KZZLk7nW3k7hT7uAsrkUnkgvlK98YmG/hOsLSFIlaP5galz7DcuQtIN24l/6dJcUMYmwPDjO4NJOHuvIAkwdJjV+kgcZBLe+nujiIIc2X8ySQW5Lo8mSIe0hGX1HEaANKgDCRhdXF9AZICpHQm2VyeR0yy2Kjip7g3N7lnC3TGYDIMu0e26G8eWmxKIcDJ4I1JmmCQbuz/ASQr/ggRoWISfyhubM4oe0ySK14zhJMlXEEokLiL+2+AJO7NI1Zp7s4mFrwKBzeMWwcWmRTdlVpzKDTFJAskyRLL3Vnu8H/F3ZHisl606rwyiYEkFJaUf0rV6aySbLACvlJXTHE6Y5JSbfbY4y0mPTCTlNLUYqUHSIYASEjokkFiAAiFpwsCAaxN5cHA+QPxCKteBxWq1iYzekjwUmLS7YzLCClfCT5+/jbvx9SWBInIr9S4SQuf48WYZMluKbVVULdJb3aklMsy7kgGOUAiJhUpheVUdxKUC8k74RcUgsp1ooQMl6rMi+pzCAfpfu3uzoSRtX8huTjLzUlJbW2j/Upq8yzHktkGigrz4OsfKOIWsOK9F9Ck13No2OUZOu7w5uWoXK8xKtVrTEylK3iAZMB0F2HNlFdQMaIeOv/1ffqdg+u/V0DxmxdYiPeQ8g8hMrqXBpJckSUxyRISHC8Jkl0+C41Phs69k4XdP85DZPsYVGvQXKwFnv/wPInnUwc3/YDM1LPoNuIDlZs5pb9cLDYl6EU8yIVmZO37xuTsYBJbBG6nu3MkqHSsAKkoLxdxi6eiYq1ItOr3Mll+5fsvoHGvQQSQu6gQSSsX4OKhnWja6zlEdR8A0+Xjkcyy651N2oLdy79A91FTUbVBM/qNX6aOpPfbGVcQWLYC/AKCFUh3b11HeK0G6Pn3qbSNuT5uPUesEYzznsTKpLZkd1dYkIcDG5bg8pEkNOzcF5HRT+JW+kXk5dy2EmY3cOd6Kk4krkejzv0QVD7cdh8BIeUQWrGaTb7bwBIgEdjaMxiZf3ylAJLqTa5uySyl0CgTtdxdQd5d7FgyE3czr6HbyI9RtlJ1YszK9wdzgDr3E1LchZTdm7A39j9Q/ZHm6PjSO/AJCLIxyXQX45dpI+EbEIynJnyuQKB7LS7C0rf6IfqFN1G3bQ9Id7d25ihUe6QFWvYdYbk/G0iyAsBB0IWDnrfoysopneU5zJgpezbj8JYVtNAyzp9A+ulk232W9qVmVFtEdfuL9yTXJvEFIyU7M/d+ZcpSjmH42JjE5LcNJM0V3rxyDkkrvkBRQR66vvwhyletxWWzYeCnD4agcU/GoKcJ0MxLp/HHz4tx++ol+JTxRWh4FXR5ZRICQisokM7ui8OupXPRecS7qNk0Gnk5t2C4XPAPLofCvFz8OGEg2g8dizqtu3G2FORj2YQB6DR0PCKad4RLd3+2YGslsx4xST9OGcmTSRTvxP6rZ48gvGZ9uFw+Kg86Ef8LLhzagcdfngTfgCDOHHcxbl1PRdmHqntWJhwy3Ju7k0wybuxZYDJDcGYw+1ogmVr9TQfqzo00/Pbl+wiPqI92g0YjoGyYApKBFP/dp6jTqjOCyj+EU4kbcCl5F2o1i0bz3sNRXJCHrV9PQnCFcPQa8xlPck03fvl0FLkF5t7Yz8Yvmobc7Cw8OXYOcm9eR+zk4eg0fCJqNe9AAN24eAqbZo9D/w+/RXDFKjx7EOpOl+O8BieDNH2SNSStZqcLC104iPPcxSi8l0vs5sa06nY3084h/vtZaPbEYEQ0bkfsZq70wsEEHImLRfuBo1G+au0SQSotJtHzMICcRVBnTHIyiYGVenI/qj3SEi5XGQscAAW52bh8dA/O7PmN/HR47QZoFjMYleo0EtUGF7JvpKMw/x4q1qhLhj23fzv2rPgCfScugH9oBaSdPIAd/5yFmHGzUbFmJG6lX8C6Ga+jZb8RaNjtWQLoZPwvOPzrcgyatozXt3gGRG5M1bukoCCQmFFFfZUdLaSfFcRLBunQxh9w9XQyOg55W8UW0yxG/t07iF8yE8EVHkK7gaN4nut20z24i4uxe9UC5GRloOOQ8fAPDPk3QLKSb+N60hc8UWUrUDFJxhlLOHgDiQHLbuR2+iVcTUlG+umDyEo9D7+AINRu0RF123RH+Sq1lKDgZSFdrvNV/+MHg+EuKoKPrx8KcnPo+MgOMWgz4G/E7Izzx7B53juoEtkEPV6fTvsTFk/HxeRdyu13GjoOtVt2cTBJlsKtsowsjxOTPECyqs26BM+5mYGdS+fQvXUaMg5lK0Ug904mEv9rDrIzr5JwYHbIy7mD/HvZKLibTeAxEVGYn4cq9Zqgdd8RnvU7vdLh5qDw5FjETvb0Gbvn22S2ktxKDEiQDDCXx/ZfPJQAFoMYQ1je4i4qVoZiIDNl5VPGj29zVHQq1WuEqG4DuGLkIQunEjfS4ggJr4KLBxORdmIf+r73DXwDg4kNl47sRvyi6TB8fDBoxnLy8zcunKL4l309DUkrvsTT7yygOMhIkn8vp0QmybYD93SiBEOGkYVVq9rtGxCgYk9BXi4Sl8xCdmY6eo2agZys64hf8in8g0LhHxwCP/YeFAK/wFD4se8BwQgMCsXdWzdwZFssWvUZTkDx2O9ZiFXtEVtpyQ3j2q7PFUBW70evJlgSXMakAz9/S8BUqPYw7t68QS6ofvQTPI5piOifGRIX9scjLKIeOgwdR20KXnXgIJKYSDuPX+eOQ6cX30ZE0/aqVnfk12U4mbAe/iFl0az3i6jF9onX8d9X49i21Rg4damoaQFLxvRR+//sB7YYBkxZyl2jMBoDPv3UIdRkscY0KYUozLuHMpQDmhSnXGV8YLjKoLioEMWFBfDzC0RK0mbUbBINX/8g1ZdygqTXBOUiopLVtZ3zVAzSE1aLSbJoyg1KTTfBJHbMsW2xuHx4F2LGzdN6SY6qgzgn7tsp8A8uiw5DxgpwLJCKCu7h188noHL9pmj17Kuk7uRvbf/2E7h8fFCpTkOkHt9PQkK+tnz+DgLLV0THlyZwEek2Kf6JcKOViHiMkfFJZBuyG2hjEN/oQu0WnVQfyVv74drpw0hcNgcxb36GgNByWD31FTTq9izqt+mBM3t/x8nE9bRPl+r2XMzJJJ44y4Yfuw0jI3GeaYrU3puk5vGJs0gyTAfp+LZYnN65AYFlw0pcrMKZ4V7OLdRo9BjaDx5rdWgZFKYb2xZNRf7d22jTfyQyLp5CxtljKOPnj/YvjsfqycPQqPtf8HCLjlg1aRg6DptAK5K52PUzRyN68BglvyVIwmt5FQ58tepdWeHuvAoH6QZNYkv8d9PRLGYoKlSvg0vJO/HH6oV4ZuLXcPn6I/aTEWj0OAOoJ87u3YqTO9bjyTGzrWqDJtdVh9bRd9JrgtTgy9gxlxjkZotZ9HRKZpInSMfjVuPigXi0fvY1j7a4veEHHNq0jJLZ9oPfUrKenbT3p69xZs9WziqXC2HVHqbKRI2GrVGuUnWsmfoq+rz7JcpVqYl9qxfi8uEkPP3+N4j79hOwakLfd7+C4fKxFogJlRcJKPgq5gHAqtc9EEiWwLhwIAF7Y7/BU+PmIrBcRaTs3oyjv63EM+8tpLjCAIrq3p8AYs9zMnEdYsbMUTHH6sraa396D0l9ZqKBXFzCHNVucGuu637ujuYNDAOMQZcP70Tnlz/kcltEfot5Vld294r5CCoXjvaDx2jzDaCMPDsjDRVr1UdY9bpw+fqRi2Nd2cMbl+LMni3o/8kPBEBRfi7WTvsbAXc15Qi6vPIBIhq39WSvAySZJ4korYElXIpqN2u9G5twcCNu0RRCufOI98joBzcswbWUI+g1ehbNN6z6eDiVsiLb9kTKni04uWMdnnprrk29PShIkknGtYTZxCCx/JVSexB3x0BiDDqduOGBY3HNJu0Q/cJbto6sXnjllW8DRfdy4BcYjNgpf0XlelHoMGScGkI5sX0t9q9ZhPDakZTIlvi6D5PsjNIbf4JpWnf2blYG1v1jNFo/8yoebtmJjL716w8RGl4VrfuPpNUe+9EwAqhBuyeRsudXnEhYh95j54LV8jLOHUflulE8VNg6v15mHLRKg3E1/jORB1lVbObuXM72ApV5mItj5rCEw7H4NSQSuo+aDhflUVyKW4pQVikMJCyZiYDQ8mj/vGSQ0NmiipGTeZVYcenwbty4dBrRz72BHUtn46m356N85QhiZ/qZZMQvno6iwgIySou+w1Ty6hUoB0iqSabcnZTXOpO0oqsA6cjWlTgRvxZPv/cNyvgF4PbVy9i84F206P0SHm7VlX46dvJLaNxjICLbPkEMOpGwFr3HzUNe9k1smj8R3V6dhJAKlVVM0ks8JfWRjLTt/zBZu1u1G5gZXCLnKSUmSRd2PP5nXDyUiMcG/J2D4wDIikMGDm38HiHhVRH9/JuqfcFqbqyImnk5Bfk5d1C2UjVUa9ACD9VugH1rF6NOq65o0XsYioqLcCJuDZI3L0doWGV0fW0yziRtwbGtsajTuivaPjeaEl3vIJlwWZ0KUYHmR5KqUmDZJ39ky4Epq3UzR1MbpO2gN8AKuwlLPsWtq5cR89YcuMqUIaOvmvwSonoMxCPtnsTppM0EUJ/x83Ez/QLiFk9Dr1HTqP5oCQFrpMtjCEUksUZq3CxikASJsYRuWDbjZOvBgxkc1OPxa3F656YHdnEsXkQzBgnWFOTnYvfy+aj2aHNUf7QlQsKq0HVZ5s4qxn0mfgnGrIR/zqQSUdUGzdHpxfHwDSlLv5myazP2/vQVwmrURY/Xp/FipbeXaYHExZTVAPQEiRAThgSunTmK3xd+hC7DJ6JKZHMSCuf2xaHdc28gIqqNKpqumvQionoOIheXemwvklZ9hTotuyAr9SxVHPqMnQe4XCXEJM8iLd1j2raZNDSigyQndXSQVDnI5r4MnNqxHpeO7kH31z4WeYs2quWSI1k832HVb1adfqz/SC+DkfZJIcYOlpjWatIe+bnZ2LbwI0Q9PgA1mkZzljITisHI9JMHyGAdho4vdaE8+Myd3d3lZF7DqZ2b0DxmMBWTT+3cSHdQv10v0WLnx+9fuwjVHm2FynUbo7ggH0e3/oSs1DNUVYlo3IYn2F4HI7VirmMuz0jdNpMYxFaVjB1ywocCjsakkkCimMSGSBj7HACqpFZWDkQsk7FKvZc4vcoHWSh11KZXnSBJ9ypLSCULhz/PJFV51tsFXmbuuAvjdUZ7K4ENRsrJVKukJLuyTvCIQam/f6oqCRIkW0ySCk/vDXGr2oQAB5cLAinBbUqQThGVAw8Boo1zqfEvYXJt5s4JkvfWuRQepZBJc3f2cS5vMcnu7ryCpE0XeWv42UCicSovLQ3ZOneAalzZOiPNMIyq0uA0i0XEsebjZCNOHlMSk+RkqpLtzoafGowsYQhFMNZSivcHSdXyZPFVSpX7zNwxo0nhQHOkTO0JTO0xSax4VeS0mne2rqya0nHGEieT9DFkWbnmLk7ONoi6E9uWbqT+PmOZSaO/lsyWA/CWXKYyg8dolgUU38+P91HDI7wk5OjKMpBU61yyThtCUedwcGy/IVjozd2peQrmCrkroJyu1Ne/xSQxbOJo+CklKHMbFJcQZzRgaYxLAmnlXwokwSKYWG5ciZtZA8VmMmCGKaktjEQOyzZpKguYmtHVtI8OBuvK8u/eurJkeMd8gy0WCRXJwXGMIOuukmrNHAy9uEqnM3vKRVUKSiVPr4oSDw1oiHagPu/A2kmih6OXasidlejC7CBZfyVhB0nEpKwABDSlNcZAMtzuWaaJLtLdSTdlgWRnkZ0ZcrXrMYa3z+8Lkoox+jiXAEVNEwmGaX9VwRwSFzOlg/QgTCodJDnGZQfJXtS0/1XF/UCy/pRFMknLv4B0mO7tAcV+E4LavnLlX3lTS/GLYAyLAAAAAElFTkSuQmCC",U="data:image/png;base64,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",j="data:image/png;base64,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",L="data:image/png;base64,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",N="data:image/png;base64,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",_="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b0dEy7V/F09vMBST6Y2wwj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diff --git a/p__MyProblem__RecordDetail__index.95506ceb.async.js b/p__MyProblem__RecordDetail__index.a7188fa2.async.js
similarity index 66%
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diff --git a/p__MyProblem__index.7e812263.async.js b/p__MyProblem__index.a95b8d5d.async.js
similarity index 65%
rename from p__MyProblem__index.7e812263.async.js
rename to p__MyProblem__index.a95b8d5d.async.js
index abcf03cd0b..b6f0d01302 100644
--- a/p__MyProblem__index.7e812263.async.js
+++ b/p__MyProblem__index.a95b8d5d.async.js
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diff --git a/p__Shixuns__Edit__body__Level__Challenges__EditQuestion__index.e2b484b8.async.js b/p__Shixuns__Edit__body__Level__Challenges__EditQuestion__index.da8f3627.async.js
similarity index 99%
rename from p__Shixuns__Edit__body__Level__Challenges__EditQuestion__index.e2b484b8.async.js
rename to p__Shixuns__Edit__body__Level__Challenges__EditQuestion__index.da8f3627.async.js
index 2d00c28725..03b0ebe06d 100644
--- a/p__Shixuns__Edit__body__Level__Challenges__EditQuestion__index.e2b484b8.async.js
+++ b/p__Shixuns__Edit__body__Level__Challenges__EditQuestion__index.da8f3627.async.js
@@ -1,4 +1,4 @@
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go.Spot(.07,.25),y.spot2=new go.Spot(.93,.75),y}),go.Shape.defineFigureGenerator("Heptagon",function(pe,E,a){var ee=Ne(7),y=new go.Geometry,te=new go.PathFigure(ee[0].x*E,ee[0].y*a,!0);y.add(te);for(var ae=1;ae<7;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*E,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*E,ee[0].y*a).close()),Re(ee),y.spot1=new go.Spot(.2,.15),y.spot2=new go.Spot(.8,.85),y}),go.Shape.defineFigureGenerator("Octagon",function(pe,E,a){var ee=Ne(8),y=new go.Geometry,te=new go.PathFigure(ee[0].x*E,ee[0].y*a,!0);y.add(te);for(var ae=1;ae<8;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*E,ee[ae].y*a));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*E,ee[0].y*a).close()),Re(ee),y.spot1=new go.Spot(.15,.15),y.spot2=new go.Spot(.85,.85),y}),go.Shape.defineFigureGenerator("Nonagon",function(pe,E,a){var ee=Ne(9),y=new go.Geometry,te=new go.PathFigure(ee[0].x*E,ee[0].y*a,!0);y.add(te);for(var 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diff --git a/p__Shixuns__Edit__body__Level__Challenges__NewPractice__index.8a5aa612.async.js b/p__Shixuns__Edit__body__Level__Challenges__NewPractice__index.783df29b.async.js
similarity index 99%
rename from p__Shixuns__Edit__body__Level__Challenges__NewPractice__index.8a5aa612.async.js
rename to p__Shixuns__Edit__body__Level__Challenges__NewPractice__index.783df29b.async.js
index 9b1303e21e..a4c4c44748 100644
--- a/p__Shixuns__Edit__body__Level__Challenges__NewPractice__index.8a5aa612.async.js
+++ b/p__Shixuns__Edit__body__Level__Challenges__NewPractice__index.783df29b.async.js
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ee.startX=a/2,ee.startY=0,ee.endX=a/2,ee.endY=b,ee}),go.Shape.defineFigureGenerator("BarH","Rectangle"),go.Shape.defineFigureGenerator("BarV","Rectangle"),go.Shape.defineFigureGenerator("MinusLine","LineH"),go.Shape.defineFigureGenerator("PlusLine",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,b/2,!1).add(new go.PathSegment(go.PathSegment.Line,a,b/2)).add(new go.PathSegment(go.PathSegment.Move,a/2,0)).add(new go.PathSegment(go.PathSegment.Line,a/2,b)))}),go.Shape.defineFigureGenerator("XLine",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,b,!1).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Move,0,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)))}),go.Shape.defineFigureGenerator("LineRight",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(.25*a,0,!1).add(new go.PathSegment(go.PathSegment.Line,.75*a,.5*b)).add(new go.PathSegment(go.PathSegment.Line,.25*a,b)))}),go.Shape.defineFigureGenerator("LineDown",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,.25*b,!1).add(new go.PathSegment(go.PathSegment.Line,.5*a,.75*b)).add(new go.PathSegment(go.PathSegment.Line,a,.25*b)))}),go.Shape.defineFigureGenerator("LineLeft",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(.75*a,0,!1).add(new go.PathSegment(go.PathSegment.Line,.25*a,.5*b)).add(new go.PathSegment(go.PathSegment.Line,.75*a,b)))}),go.Shape.defineFigureGenerator("LineUp",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,.75*b,!1).add(new go.PathSegment(go.PathSegment.Line,.5*a,.25*b)).add(new go.PathSegment(go.PathSegment.Line,a,.75*b)))}),go.Shape.defineFigureGenerator("AsteriskLine",function(pe,a,b){var ee=.2/Math.SQRT2;return new go.Geometry().add(new go.PathFigure(ee*a,(1-ee)*b,!1).add(new go.PathSegment(go.PathSegment.Line,(1-ee)*a,ee*b)).add(new go.PathSegment(go.PathSegment.Move,ee*a,ee*b)).add(new go.PathSegment(go.PathSegment.Line,(1-ee)*a,(1-ee)*b)).add(new go.PathSegment(go.PathSegment.Move,0,b/2)).add(new go.PathSegment(go.PathSegment.Line,a,b/2)).add(new go.PathSegment(go.PathSegment.Move,a/2,0)).add(new go.PathSegment(go.PathSegment.Line,a/2,b)))}),go.Shape.defineFigureGenerator("CircleLine",function(pe,a,b){var ee=a/2,E=new go.Geometry().add(new go.PathFigure(a,a/2,!1).add(new go.PathSegment(go.PathSegment.Arc,0,360,ee,ee,ee,ee).close()));return E.spot1=fe,E.spot2=ye,E.defaultStretch=go.GraphObject.Uniform,E}),go.Shape.defineFigureGenerator("Line1",function(pe,a,b){var ee=new go.Geometry(go.Geometry.Line);return ee.startX=0,ee.startY=0,ee.endX=a,ee.endY=b,ee}),go.Shape.defineFigureGenerator("Line2",function(pe,a,b){var ee=new go.Geometry(go.Geometry.Line);return ee.startX=a,ee.startY=0,ee.endX=0,ee.endY=b,ee}),go.Shape.defineFigureGenerator("Curve1",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,a,b,oe*a,0,a,(1-oe)*b)))}),go.Shape.defineFigureGenerator("Curve2",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,a,b,0,oe*b,(1-oe)*a,b)))}),go.Shape.defineFigureGenerator("Curve3",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(a,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,0,b,a,oe*b,oe*a,b)))}),go.Shape.defineFigureGenerator("Curve4",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(a,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,0,b,(1-oe)*a,0,0,(1-oe)*b)))}),go.Shape.defineFigureGenerator("TriangleDownLeft",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())).setSpots(0,.5,.5,1)}),go.Shape.defineFigureGenerator("TriangleDownRight",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(a,0,!0).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())).setSpots(.5,.5,1,1)}),go.Shape.defineFigureGenerator("TriangleUpLeft",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())).setSpots(0,0,.5,.5)}),go.Shape.defineFigureGenerator("TriangleUpRight",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a,b).close())).setSpots(.5,0,1,.5)}),go.Shape.defineFigureGenerator("RightTriangle","TriangleDownLeft"),go.Shape.setFigureParameter("Parallelogram1",0,new de("Indent",.1,-.99,.99)),go.Shape.defineFigureGenerator("Parallelogram1",function(pe,a,b){var ee=pe?pe.parameter1:NaN;isNaN(ee)?ee=.1:ee<-1?ee=-1:ee>1&&(ee=1);var E=Math.abs(ee)*a;if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=a,te.endY=b,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(E,0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a-E,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())):te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,a-E,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,E,b).close())),E<a/2&&te.setSpots(E/a,0,(a-E)/a,1),te}}),go.Shape.defineFigureGenerator("Parallelogram","Parallelogram1"),go.Shape.setFigureParameter("Parallelogram2",0,new de("Indent",10,-1/0,1/0)),go.Shape.defineFigureGenerator("Parallelogram2",function(pe,a,b){var ee=pe?pe.parameter1:NaN;isNaN(ee)?ee=10:ee<-a?ee=-a:ee>a&&(ee=a);var E=Math.abs(ee);if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=a,te.endY=b,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(E,0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a-E,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())):te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,a-E,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,E,b).close())),E<a/2&&te.setSpots(E/a,0,(a-E)/a,1),te}}),go.Shape.setFigureParameter("Trapezoid1",0,new de("Indent",.2,-.99,.99)),go.Shape.defineFigureGenerator("Trapezoid1",function(pe,a,b){var ee=pe?pe.parameter1:NaN;isNaN(ee)?ee=.2:ee<.5?ee=-.5:ee>.5&&(ee=.5);var E=Math.abs(ee)*a;if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=a,te.endY=b,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(E,0).add(new go.PathSegment(go.PathSegment.Line,a-E,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())):te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a-E,b)).add(new go.PathSegment(go.PathSegment.Line,E,b).close())),E<a/2&&te.setSpots(E/a,0,(a-E)/a,1),te}}),go.Shape.defineFigureGenerator("Trapezoid","Trapezoid1"),go.Shape.setFigureParameter("Trapezoid2",0,new de("Indent",20,-1/0,1/0)),go.Shape.defineFigureGenerator("Trapezoid2",function(pe,a,b){var ee=pe?pe.parameter1:NaN;isNaN(ee)?ee=20:ee<-a?ee=-a/2:ee>a&&(ee=a/2);var E=Math.abs(ee);if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=a,te.endY=b,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(E,0).add(new go.PathSegment(go.PathSegment.Line,a-E,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())):te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a-E,b)).add(new go.PathSegment(go.PathSegment.Line,E,b).close())),E<a/2&&te.setSpots(E/a,0,(a-E)/a,1),te}}),go.Shape.setFigureParameter("ManualOperation",0,new de("Indent",10,-1/0,1/0)),go.Shape.defineFigureGenerator("ManualOperation",function(pe,a,b){var ee=pe?pe.parameter1:NaN;isNaN(ee)?ee=10:ee<-a?ee=-a/2:ee>a&&(ee=a/2);var E=Math.abs(ee);if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=a,te.endY=b,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a-E,b)).add(new go.PathSegment(go.PathSegment.Line,E,b).close())):te.add(new go.PathFigure(E,0).add(new go.PathSegment(go.PathSegment.Line,a-E,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())),E<a/2&&te.setSpots(E/a,0,(a-E)/a,1),te}});var Ae=[];function we(){var pe=Ae.pop();return pe===void 0?[]:pe}function 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go.Spot(.8,.9),E}),go.Shape.defineFigureGenerator("Hexagon",function(pe,a,b){var ee=Be(6),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<6;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.07,.25),E.spot2=new go.Spot(.93,.75),E}),go.Shape.defineFigureGenerator("Heptagon",function(pe,a,b){var ee=Be(7),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<7;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.2,.15),E.spot2=new go.Spot(.8,.85),E}),go.Shape.defineFigureGenerator("Octagon",function(pe,a,b){var ee=Be(8),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<8;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.15,.15),E.spot2=new go.Spot(.85,.85),E}),go.Shape.defineFigureGenerator("Nonagon",function(pe,a,b){var ee=Be(9),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<9;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.17,.13),E.spot2=new go.Spot(.82,.82),E}),go.Shape.defineFigureGenerator("Decagon",function(pe,a,b){var ee=Be(10),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<10;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.16,.16),E.spot2=new go.Spot(.84,.84),E}),go.Shape.defineFigureGenerator("Dodecagon",function(pe,a,b){var ee=Be(12),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<12;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.16,.16),E.spot2=new go.Spot(.84,.84),E}),go.Shape.defineFigureGenerator("FivePointedStar",function(pe,a,b){var ee=_e(5),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<10;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.266,.333),E.spot2=new go.Spot(.733,.733),E}),go.Shape.defineFigureGenerator("SixPointedStar",function(pe,a,b){var ee=_e(6),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<12;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.17,.25),E.spot2=new go.Spot(.83,.75),E}),go.Shape.defineFigureGenerator("SevenPointedStar",function(pe,a,b){var ee=_e(7),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<14;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.222,.277),E.spot2=new go.Spot(.777,.666),E}),go.Shape.defineFigureGenerator("EightPointedStar",function(pe,a,b){var ee=_e(8),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<16;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new 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ee.startX=a/2,ee.startY=0,ee.endX=a/2,ee.endY=b,ee}),go.Shape.defineFigureGenerator("BarH","Rectangle"),go.Shape.defineFigureGenerator("BarV","Rectangle"),go.Shape.defineFigureGenerator("MinusLine","LineH"),go.Shape.defineFigureGenerator("PlusLine",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,b/2,!1).add(new go.PathSegment(go.PathSegment.Line,a,b/2)).add(new go.PathSegment(go.PathSegment.Move,a/2,0)).add(new go.PathSegment(go.PathSegment.Line,a/2,b)))}),go.Shape.defineFigureGenerator("XLine",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,b,!1).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Move,0,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)))}),go.Shape.defineFigureGenerator("LineRight",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(.25*a,0,!1).add(new go.PathSegment(go.PathSegment.Line,.75*a,.5*b)).add(new go.PathSegment(go.PathSegment.Line,.25*a,b)))}),go.Shape.defineFigureGenerator("LineDown",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,.25*b,!1).add(new go.PathSegment(go.PathSegment.Line,.5*a,.75*b)).add(new go.PathSegment(go.PathSegment.Line,a,.25*b)))}),go.Shape.defineFigureGenerator("LineLeft",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(.75*a,0,!1).add(new go.PathSegment(go.PathSegment.Line,.25*a,.5*b)).add(new go.PathSegment(go.PathSegment.Line,.75*a,b)))}),go.Shape.defineFigureGenerator("LineUp",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,.75*b,!1).add(new go.PathSegment(go.PathSegment.Line,.5*a,.25*b)).add(new go.PathSegment(go.PathSegment.Line,a,.75*b)))}),go.Shape.defineFigureGenerator("AsteriskLine",function(pe,a,b){var ee=.2/Math.SQRT2;return new go.Geometry().add(new go.PathFigure(ee*a,(1-ee)*b,!1).add(new go.PathSegment(go.PathSegment.Line,(1-ee)*a,ee*b)).add(new go.PathSegment(go.PathSegment.Move,ee*a,ee*b)).add(new go.PathSegment(go.PathSegment.Line,(1-ee)*a,(1-ee)*b)).add(new go.PathSegment(go.PathSegment.Move,0,b/2)).add(new go.PathSegment(go.PathSegment.Line,a,b/2)).add(new go.PathSegment(go.PathSegment.Move,a/2,0)).add(new go.PathSegment(go.PathSegment.Line,a/2,b)))}),go.Shape.defineFigureGenerator("CircleLine",function(pe,a,b){var ee=a/2,E=new go.Geometry().add(new go.PathFigure(a,a/2,!1).add(new go.PathSegment(go.PathSegment.Arc,0,360,ee,ee,ee,ee).close()));return E.spot1=fe,E.spot2=ye,E.defaultStretch=go.GraphObject.Uniform,E}),go.Shape.defineFigureGenerator("Line1",function(pe,a,b){var ee=new go.Geometry(go.Geometry.Line);return ee.startX=0,ee.startY=0,ee.endX=a,ee.endY=b,ee}),go.Shape.defineFigureGenerator("Line2",function(pe,a,b){var ee=new go.Geometry(go.Geometry.Line);return ee.startX=a,ee.startY=0,ee.endX=0,ee.endY=b,ee}),go.Shape.defineFigureGenerator("Curve1",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,a,b,oe*a,0,a,(1-oe)*b)))}),go.Shape.defineFigureGenerator("Curve2",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,a,b,0,oe*b,(1-oe)*a,b)))}),go.Shape.defineFigureGenerator("Curve3",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(a,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,0,b,a,oe*b,oe*a,b)))}),go.Shape.defineFigureGenerator("Curve4",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(a,0,!1).add(new go.PathSegment(go.PathSegment.Bezier,0,b,(1-oe)*a,0,0,(1-oe)*b)))}),go.Shape.defineFigureGenerator("TriangleDownLeft",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())).setSpots(0,.5,.5,1)}),go.Shape.defineFigureGenerator("TriangleDownRight",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(a,0,!0).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())).setSpots(.5,.5,1,1)}),go.Shape.defineFigureGenerator("TriangleUpLeft",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())).setSpots(0,0,.5,.5)}),go.Shape.defineFigureGenerator("TriangleUpRight",function(pe,a,b){return new go.Geometry().add(new go.PathFigure(0,0,!0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a,b).close())).setSpots(.5,0,1,.5)}),go.Shape.defineFigureGenerator("RightTriangle","TriangleDownLeft"),go.Shape.setFigureParameter("Parallelogram1",0,new de("Indent",.1,-.99,.99)),go.Shape.defineFigureGenerator("Parallelogram1",function(pe,a,b){var ee=pe?pe.parameter1:NaN;isNaN(ee)?ee=.1:ee<-1?ee=-1:ee>1&&(ee=1);var E=Math.abs(ee)*a;if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=a,te.endY=b,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(E,0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a-E,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())):te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,a-E,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,E,b).close())),E<a/2&&te.setSpots(E/a,0,(a-E)/a,1),te}}),go.Shape.defineFigureGenerator("Parallelogram","Parallelogram1"),go.Shape.setFigureParameter("Parallelogram2",0,new de("Indent",10,-1/0,1/0)),go.Shape.defineFigureGenerator("Parallelogram2",function(pe,a,b){var ee=pe?pe.parameter1:NaN;isNaN(ee)?ee=10:ee<-a?ee=-a:ee>a&&(ee=a);var E=Math.abs(ee);if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=a,te.endY=b,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(E,0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a-E,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())):te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,a-E,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,E,b).close())),E<a/2&&te.setSpots(E/a,0,(a-E)/a,1),te}}),go.Shape.setFigureParameter("Trapezoid1",0,new de("Indent",.2,-.99,.99)),go.Shape.defineFigureGenerator("Trapezoid1",function(pe,a,b){var ee=pe?pe.parameter1:NaN;isNaN(ee)?ee=.2:ee<.5?ee=-.5:ee>.5&&(ee=.5);var E=Math.abs(ee)*a;if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=a,te.endY=b,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(E,0).add(new go.PathSegment(go.PathSegment.Line,a-E,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())):te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a-E,b)).add(new go.PathSegment(go.PathSegment.Line,E,b).close())),E<a/2&&te.setSpots(E/a,0,(a-E)/a,1),te}}),go.Shape.defineFigureGenerator("Trapezoid","Trapezoid1"),go.Shape.setFigureParameter("Trapezoid2",0,new de("Indent",20,-1/0,1/0)),go.Shape.defineFigureGenerator("Trapezoid2",function(pe,a,b){var ee=pe?pe.parameter1:NaN;isNaN(ee)?ee=20:ee<-a?ee=-a/2:ee>a&&(ee=a/2);var E=Math.abs(ee);if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=a,te.endY=b,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(E,0).add(new go.PathSegment(go.PathSegment.Line,a-E,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())):te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a-E,b)).add(new go.PathSegment(go.PathSegment.Line,E,b).close())),E<a/2&&te.setSpots(E/a,0,(a-E)/a,1),te}}),go.Shape.setFigureParameter("ManualOperation",0,new de("Indent",10,-1/0,1/0)),go.Shape.defineFigureGenerator("ManualOperation",function(pe,a,b){var ee=pe?pe.parameter1:NaN;isNaN(ee)?ee=10:ee<-a?ee=-a/2:ee>a&&(ee=a/2);var E=Math.abs(ee);if(ee===0){var te=new go.Geometry(go.Geometry.Rectangle);return te.startX=0,te.startY=0,te.endX=a,te.endY=b,te}else{var te=new go.Geometry;return ee>0?te.add(new go.PathFigure(0,0).add(new go.PathSegment(go.PathSegment.Line,a,0)).add(new go.PathSegment(go.PathSegment.Line,a-E,b)).add(new go.PathSegment(go.PathSegment.Line,E,b).close())):te.add(new go.PathFigure(E,0).add(new go.PathSegment(go.PathSegment.Line,a-E,0)).add(new go.PathSegment(go.PathSegment.Line,a,b)).add(new go.PathSegment(go.PathSegment.Line,0,b).close())),E<a/2&&te.setSpots(E/a,0,(a-E)/a,1),te}});var Ae=[];function we(){var pe=Ae.pop();return pe===void 0?[]:pe}function 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go.Spot(.8,.9),E}),go.Shape.defineFigureGenerator("Hexagon",function(pe,a,b){var ee=Be(6),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<6;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.07,.25),E.spot2=new go.Spot(.93,.75),E}),go.Shape.defineFigureGenerator("Heptagon",function(pe,a,b){var ee=Be(7),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<7;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.2,.15),E.spot2=new go.Spot(.8,.85),E}),go.Shape.defineFigureGenerator("Octagon",function(pe,a,b){var ee=Be(8),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<8;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.15,.15),E.spot2=new go.Spot(.85,.85),E}),go.Shape.defineFigureGenerator("Nonagon",function(pe,a,b){var ee=Be(9),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<9;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.17,.13),E.spot2=new go.Spot(.82,.82),E}),go.Shape.defineFigureGenerator("Decagon",function(pe,a,b){var ee=Be(10),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<10;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.16,.16),E.spot2=new go.Spot(.84,.84),E}),go.Shape.defineFigureGenerator("Dodecagon",function(pe,a,b){var ee=Be(12),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<12;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.16,.16),E.spot2=new go.Spot(.84,.84),E}),go.Shape.defineFigureGenerator("FivePointedStar",function(pe,a,b){var ee=_e(5),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<10;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.266,.333),E.spot2=new go.Spot(.733,.733),E}),go.Shape.defineFigureGenerator("SixPointedStar",function(pe,a,b){var ee=_e(6),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<12;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.17,.25),E.spot2=new go.Spot(.83,.75),E}),go.Shape.defineFigureGenerator("SevenPointedStar",function(pe,a,b){var ee=_e(7),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<14;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new go.Spot(.222,.277),E.spot2=new go.Spot(.777,.666),E}),go.Shape.defineFigureGenerator("EightPointedStar",function(pe,a,b){var ee=_e(8),E=new go.Geometry,te=new go.PathFigure(ee[0].x*a,ee[0].y*b,!0);E.add(te);for(var ae=1;ae<16;ae++)te.add(new go.PathSegment(go.PathSegment.Line,ee[ae].x*a,ee[ae].y*b));return te.add(new go.PathSegment(go.PathSegment.Line,ee[0].x*a,ee[0].y*b).close()),Ie(ee),E.spot1=new 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diff --git a/p__knowledgegraph__Detail__id.59722ef4.async.js b/p__knowledgegraph__Detail__id.d66b0ead.async.js
similarity index 98%
rename from p__knowledgegraph__Detail__id.59722ef4.async.js
rename to p__knowledgegraph__Detail__id.d66b0ead.async.js
index bd7f39e1f1..7a1092c48e 100644
--- a/p__knowledgegraph__Detail__id.59722ef4.async.js
+++ b/p__knowledgegraph__Detail__id.d66b0ead.async.js
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",Me="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAE8RJREFUeF7tW2l4FWWWfuuG7GFP2MOissgiotCKsiPQDa449uiD2IoCtm2r03ajstOKji0IIgZQwLZnuhVkBNRukUAIWyCBIBiWCIQlK8SQhZCFkNzqOedb6qubSmAm84x/KOC599atqlt13u895z0L1sXDn9iWZQGWBcvyiVf6Q/tAH9V3/EHuD3wVx9kAbMuCj88EbJ+8hs2n8ndX23x+uoo8n64o/gK2rV9pj23zr4n9/FacR/v5nzqX9tt+2Lafv/fTKx3qt0F3bPvVteQx6nz5Ste1+GfEeeL69F79rl88t3G8uB+6nrhH9R09Pe8z7lU+nfN8QJ4P/kTLCprWYey8bKsk7c8MkADC5wCiQKLdcIPEe/h4+ivOoVsReFjwe4GkrH4VkCxpEDa2fCAFqzC8AsMBifYLI6p9ge/JoMpgbmNaEiBx3Ro2vjKiaXS6LwGQ+N48Ri2e+kES59YLEoMpDOWDXWhZvr5WMQHEBqdVTgwSBhd2vDqT+HjFNOP1/wckZUwJpwGSWL1yxSrGydXv+o6YZLAG8MP2EysUOx0w1HGCPW6QNMu9wPtfMIltCv+nVvH3q6WLI0O7meQCiV2foIlglHR/il0BYLrcneHetJP7P2OSwwxefvUyyXF3JtvY3Wn2CRdWJ5PYBYuV7sUmF/iBYBkLRa4eww0qn+G4cx+QZxUfWm1z3GCDCYBMd+cGSbo7D5BEzHIzrn6QBMj1baa74whCrkw8mcKCXVdtpsiHDIhL+jgDAGVQAklaXV5fgqQBqZ9JLpdXKyY5bNTxU96bn92zAzoxmA1D90j2LDq4SosEQQYvJhmCQbmxnwAkJ/5IEaFjkngoYWzBKHdMUiveMEQgS4SC0CAJF9cAkOS91YpVhrtziQVP4eCHVXxgpc3RXau1AIWmY5IDklJ4jrtzYpaXCmywu2PF5Wy86jyZRCBJhaXkn1Z1JqsUG5yAr9UVKc7AmKRVmzv2eMWka2aSVppGrKwFkiUBElG+HpCEBHdJbwDlxT8i//RRdLzlLjQKDdfCgt4U5Z5B0+i2vL+s6DyLj4gWrYUEv0pMqqm6jJz0VETHdkVE8xiGgtQW3Sb/ZuYJdOhxG4KCQ9kdaWXO7s6R3Upq66AOG4XZp3ClogytbuhNZ0q5rOKOYlAASMwkUng2aqqvwBfUSKu40vPZqPFXo1mrWEfiSylNtmnergvfZ31MMuOW293ZsApTPzRktgdIMiY5UltkOQRWVloSkj5dgvtei0NUsxiZJwGVpSVY/8Zk3H7fk+gx5D5smD8Vbbr1xR2/fJ6P8QbJiUllRfn4Ys4kDJr4MroMGK6pQyCd3r8NO//zXYyfswqRzWI0kxyQ1Ir0ZtI/Fr+MyGbRGPzEKzLHUiC55bPU+BpAkuAHN/0NF7JPYtiTrwqXChvbP36LVd/Qia/A8gk3S/8Kc08jac0SdL1jNG762SgnTgaqPw+XJxM7frEK9y+3BTtEkio1s05KnUTVFBECpOy0PUj6bAnufzUOEc2jdRL7w66v8d3Xf8FDs1YivHFzpMWvwQ87/45H/vgJ4AuqlczuW7cc2YdTNBDkpsqLLyA0sjEahYS5dET15UpcLi9FRLMWsKwgmS0Bsb1+hv7jp6rgZDBJSGaKST+eScfmuJkY+tSraNutn7OqdbxxuzDa7bg7PwqzT2L7X95G90Hj0OPucXx+QeZx7P7bYtxyzyPo3HewTkx3f/YeKi8VY8jEVwzGMb8N0A2pLhUe/54URHS0dWFfnAZIqTflgpSi0wqNM1HH3WWl7cGez5bgvmlLEdmilZbem96bhrDIJhg+eTaDVlZUgA3zp2Dk1Llo172fu+JgATnHUlGSn6PjTFXFJXy/6TN06T8MLTve5ALoQuZJnN6fiL5jHkVIRJR+mKat2qP9zf1B8UlJ2MSP30TeDwf1+X5/DeyaGgQFh9QpHlvf1Bt3PfaSBk+JDeEm/Ti8dR1OpsRj2FPT0SSmHR+3b+NKFGVn4J4p8+CDD7knD2HfxlUYcP8kdqXKxSoV6eXuzKqDCZJ1ISXOFiUcIk2Qi0kkv10gyc+pG1aiqqIMFReLUJidgbbd+vJD3/7gMygvuYD4pdMRHBaOkPBIbYjykkJmE7kB2tp0uxV3PvqCp7sj9mxa/Af0u/cJNG/fBU3bxMLyEVuAzENJSPl8Gca9vAiRTVvyvhpKzxQwOjkFtqyYi7LCc7zihWZQ4KmV7KhB2nNizyZ2m4N/Nc2ViFYUF6D0x1w+u+ZKFc4c3ImOfe5EUHAwu6HKSyXw+/2IiGrKv5OWsI5LSH1GjNfVkKjmMQiLai6Vprua4Up8A5hkFSQvtS0fuazaINlSPJgg0fvkdctQVX6Jb6zkXCZiutyMoEbB+Nm/PItd/7GAA3GX24YgvBm5PaCitBinUhJww4DhiJBGbdqqAzr3Hy5rf7KWJ6Wa1Is4tn0DUjesxsPzPka4PM+19G0bPlmrY6Et1Z1yEVtXzEVNTTVG/XqeZIQBjKtmJ4TFtpWvwxfkw5BfveIK+ATc95s+rZN11/JFz6EPoMutQ2qVozS7XMpRuD5+HgIosAgaGJMCmaTiUvbhZOxdsxT3/uF9RDaPwcm9m5H65Wq+35HPzkOrG3oy8EU5Gdj03isY88JbiOl0s3geWZkgw+Yc3Yej276o9ZzFeZmoqa5Cy9iu9dhAsKJT30HoPuRejjWq3kUA+f3VuOfZP8r8SNZXaV1LVeFUFGwkEEC+IAx5kgSEE4+OJ23Cka2f4xcvvGOoMaHqRB3OKNT6/ToHIwOTy93y0VzcPPh+dOk3xHVd5fJqg+Qk39aPe98XiSrZTDNJxRlHOHiBxACt/QDjfr8EjUJD8Y+FL6Fp61gUnD2OkVPmIubGnuwiyQ1+u+RVjP7tW4ju1MOQ66IykX8mHWcP7XZyHQvISktGWXEBut/9C+3e6kKJDEGxI7bPQJGHSyZtWT4HRXln0aFXf1USlz7NcHdsJfE5N/0A3//QJ19zSfDjSd/g8JZ1eGDGh7hSXoryogJXVVslx7LSBPiFgSMbN0dwWCS+WvQSeg4hgIbWLsSqqoM8RyTHsnpOz5K/Z4lLZutSjxYDCiQL5PJMd5d9JBnJa+Mw9veLERwagR0fv4nb75+ELctno1nbjggOi+Abra6qRFHOGTRr2wnB4WLfbeOeQHTnm3XupFoR5Gyzj6Vg20fzceu9E9HnnkeEuqxvs50YJGsJvIq3Lp+DgqwTnE8JHGQMkqDoUr/8fCHnJFq0vwlDn3pNVyXIWj8QQPGf48GZH+HMgR1I3bjqWrwaC5nOfe7Gl+++iJ5DHhAMMloOroKrao+4Skt+WOeT3tMAmZLaqa05EjwwJuUcSUHy53HoOewBZB1OwYip81BxsRCb338V7XrchvAmzfmGLpeVIvtICtr3GoBwCqSWhW53jWUBIIvmIq+wLBTnncW3701Dy9gbMer5+SgtOIfNSyjvqHu7ZcyjLAREkifbPbCRsGwOSLmNeu511TrSpSBJGy3ByRUlfDiP2Tps0nQjVvg5hlaWFKJp207scqsrK5y6nS6a+nGlshwnU7YgM20vYnvfge6DxiI0NIrjdGhUU4SER+m+VGBLw6wJqt4Vx6HzuxfrGOQUSo2iqez3qDyJjHil8hLyM44g89AunM84gkYhIeh8+zD0G/cEis9nIf791zByyhzJEIuTNgKNDB7dsbsgBMcg1SAUn0sL8rB1xRxcunAeD89djfBmMSDJfTo1Ubo/h0mUCx1N+AJRLVtj6KTpaBzTTqRwKrYAiF8+m2X16Ofe0BUHTi+NyrVWd8S4FXM5BtH1nJUuE1iv9gP1kkCJeRGO7/kGZ77bieiO3dBr+EOIbNG6DqluNhQDWxpcF5F5qmgQWvm7Ftu2TO29JLVgkmARvb9cUYpvFv+OZSTJaJLbo59/E01adWAjlxBAS6djxOQ5rO5oKyKAlr6Ge37zBmI6ddeKUYFE1805th+7/7qIr0fbhEVfsgRXXVnaJ9hm4eyBnUhZtxyxfQdiwPgprrzGBIkAulx2EQMeniqFg2ChyjmcbqZwf/vXr0RoRGMMmzTDaAM4QoCe2eyQim6rjfQdX+Fw4noMfvxlRHfsWjvOyONU51csENmhDQDerAlygy9/5yJmkJ8Ws9FuqO3uHJBOp25D9I29mLr7/ms5fv5vC7l8QucwQB/MQMuOXREaEcVmraosR8GZdAYnOELkRn1G/RItY29igx+OX4fvv/0ULTvciPY9++P7zWswYdFGcT8BIFWVlWDt9MfRd+wE3PLzx7z9noxJBFBu+nfXFC/UQZTTDX96pksOn89IY7FhKjbd8oaN/JNHcC4jDbeM+lfHhQqtL9siNppEt0Orjt2MfpW7c6sWjq7LkWhgF7fjXd1u8AeIAG+QhMKjlU3ymAAa89ICDdBFAihuJlp37cPVBAao4hJn9G269kVYY9oH9Bh8H1p0uIHfU17ls3wY8NBknDqwE3vXvI+J727EsZ1fI+fofgGS9G7+mmqcP5GGZu06IaKJSFRpo8+3P/i0Awa5rGWzQKUhKu0odScppISxI78B7PxkARqFhGL4MwIg1fw7tOmvOLV/m1sJyl9SySslsFTZcG9OYtyh9x3oPXy8iJPGbENd1W+13zq/YyEzSAaGWkqtPiZlpxNAKzD6xXdcAG1ZNgvDnp4pXZyF4tzTiI+bgZG/fh0xtIrUPINq8tEd+0Qf6tS+BOxZs5QBykiOR17GYeeZLZHJZx5MQkyXHoiKbqO/o8S3z5hHXfbZGjcbBOiY38wXGb2syen2tFi2ukFHspxi0PDJs6QIqD3bIAznLqym7/gSRxI34OEZK41KgZhvMPMpbXQPkOoCyjq3fYHMg9RgiHB3tKJd7QU59SMUr/gu99h+pKz/kAGiCoHP50PJuSxsXU4AzUB0Z8p5fByDtsTNZIBI8jqgyzaHrmJYyNiXgL1rPsCEhRuEpKc1Ll/pfWXFRXw+/XHc/fjvuDJRnwRngPzVGPPcfEEcDUjAe9noi182B76gIGaQYlrtFnrt6Z/07RsZoPGzVrFIcURIfZNCboFQJ0C5ie/Y1O5WRuNQTGVzOc1Tl3Cg/ZlpyTjw1ccY/ds/cTWbtov52UhYPptlb+PotmzA8uICHN22Hj2HPYiolm34J4KCQtCp3yBH0Uk2ndovAHp84QY2aCBIVZdKsHbWRAaIWhFKOHgFGgKoMOcU2va4lfMir82sz+UdP8j9mxGTZ2kXp+OOa9bBbPgBRxPX4ygDtFrEDdd0Ud1MEsfWP9tg5Wz7EzNIgcTxhUniMEqVZRRYP+z+O8qKfkRhVgaqq6sw9sWFQKNGDIYCyNsczl5qJTw0c6Uzayfj36l927g6MWHBej3ORb97Mjmec5Tc9FSc/W4XRkydg3Y9+/MF6wKJAKJ2gIp1Zp4aGCvomYuyT7G4GTF5tlZrqi9kztnRar+QdYIFEf34iaRNnOuNfXmxoKYBkm6dc6XAYVdtd1e7u8t5UG7C2zw0YoIk+wYukEx3l5m2B/kZh1lmx/a+U7syuk5pQS52fvI2Bj72Ej+sSHlkvqMlu5oIkq+aweCG3N61cZiwQNTm1ILZvvpN0AqnclSrG3ph+KTpsEKctoEXSNuoFldTg5GUqKoSkBO3RUFSBXuqma2QMegZktnCKZpiQSe3to2zB3fhwNd/5l202LoPvhedbh3kYt7/vHXusEnFLisn4W1mkHYnxoQP+x+DSSZIpnjgmERDJMQ+w12KY5SbckBiwNTwiXqVLQ8eZfJTzybMiIGC1cRyNd8gOlPeeVK97JUVcBWTAkFy4pRMGA2QPPs6HjN3ClSh2MyYJAqs7ilVcUzgsSqOWTlb/11XEhRIrpjkMaugVqsDkhp2FG0LTi4De0kuJgUKEGOcS49vSedljCIHgnQt8w3egUe0KWhzj3NJ1abFxDWCZEwXBc7KcexzDTpSh7dudRdYArKyt7xlzGbTChV9IQckzmA9BkqcwqkDhphM1bK9FkiOGPEaQmHAmYkcBHUhVcRAca4Xk/T9qXjEtL1KFDSYxE1xUvqGu3OYJFe8LnIaBpdAutoOhgT3ZpI5hqwq107/R1UrJKh5DJB2N9KgagDeqc15g+S4PPG9OD5Ijg/LYXkvkHTrXA7sazdnxiTBINdvGDEp0N2p3IqhFa5AJ7d1QuUCSQZ3T5CcEePASSGBkRGrqL9rMMYRAyaTHJDMwii7W2OoBDY+tbLi33T6QYY7owdkh+WaNPUwukDGyG0ESMr9eXVl2fAB8w2uRcJWNufzPMAyGn7qXrllIZnDnVbF/HrIVPf0qgzYPKAhmxjGvAP3/GQPR5dndAOvLhfmBslJZJ0GnaHuCsMQ1tfK3DxfthsMIxhAOSC5WeSOMepcJQSEexJskiu5LiZp92UIBzW8r/+7i1J9zv+qIIckxpVlHJELKhCka2FS/SDJFkYASO6ipmSQ2eupM87IZpxqypkTriKZzoPtTwyrCZkWcefkbCtpxaQVAKbUtcjumrr6at78Ks7++tcNsYB1ZO3ckJKirETAHuh1oesANcS8DT+X2bF/xZS2VahJBey2gZe8DlDDjdyQK2j3lbxq0kB/DRJtG66pvusANcS8DT/XFV/2fvTMFL/fTzFJb9cBariRG3KFWgIgUDRcB6gh5m34ubUAChQN1wFquJEbcgVPCW2KhusANcS8DT+3zhxHiYaBU1bT/5K6vv1EFqg3CSXRcOfklR/+RPd2/Wf/2wL/BGiui/tFFRS/AAAAAElFTkSuQmCC",pe="data:image/png;base64,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",Ee="data:image/png;base64,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",Pe="data:image/png;base64,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",de="data:image/png;base64,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",ee="data:image/png;base64,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",ne="data:image/png;base64,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",le="data:image/png;base64,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",oe="data:image/png;base64,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",ce="data:image/png;base64,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",he="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b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",Me="data:image/png;base64,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",pe="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAgCAYAAAD+Fz2gAAAAAXNSR0IArs4c6QAAEv1JREFUaEPFWgd4VWW2XecmhNAEJFQpAYHAo+OMBBBHkBJCdQhKqOq88j2eQ31Kb6KASWBgEFBAmkLojmJEihAEJaFEejUQSAIhEKRLSLjnfXv/5fzn3ht4880r99PvknvKPXevf6299v63BQB5R5dUtwoK4wDrFcuyqsLywLIs2LAAjwXA4r8tC/Kd/wHL8oh3eZzuReeJY/yH+FsfV3+L82wAtmXBQxfSv/m7AMvmS/nY014eL91FXk93FP8Btq3f6RPb5m8Tn/M/xXX0Of+vrqXPbS9s28vHvfROp3opGjZsr7qXPEddL9/pvvT8fD2/0/n0b/W9XvG7jfPF89D9+Duu2rCT7eBi71VvPybLyktZUh1W/lHbsp4VIFBQCCABEkVKB04e1+cZ52iQ6BIC1gBJA8THFPgSe1jwBgJJRf0pIFkyIBxs+cMVrCLwCgwHJA6EDp4bKHE6BVQEzASRgy8BEvd9zOfyeQZQAiS5WORx8xy1eIoCSSwo3ESx4GbW9dT5a2Aj1gm6YAb/SE8QB5sB0gGnY4pNxCARcBFHN0MCMYnPV0wz3v9vQFLBlHAaIJlgaMbJ1e86RkwywYAXtpdYERikQOCZC8cNknMPudwSres/zbsCj6eqkidHotxMIpDEMSVjCij6IABILH0EspBAfZ1ilw+YLrkz5E2L3P8YkxxmsMw9kUmO3OlACt3TIAkwhdwFZBJLsJA3dY7feZL5ioXqneTOuvbTPNuRNt8co0CS+UYyifOGkVsEcIFAknIXACR3bgqQk/xAEiA/6WXKHWcQ1nTBFokFS5eSLYcpMmf5SpoOnAOAYhOBJKMu7y/P0YBISZVy5wuKS/L8cpLDJOvaj3NtlcydoJnJXoKDIFgeC7ZmkGJFICbJZC9XPd/3/wEkJ/9IE6FzEoFkyRwjk7OLSWrFO6tfGQcdWMkkBZKQuH8AJPlsvrnKyt33F5vdkmEARC4xpEw7NpWbxPn+15hMckASwJty5+SsQC7wH5Y7dlzOy1skkwgk6bCU/dOuzmSVYoMA08wbdJlfTtKuzX2uOs80FE9jknVt7xxmUOCAm0xSzo6MgbDQRYMkjYbJILpEmQ3T5f1v5SQDJErh5Nokj1idhM4Rkxzbray2DqDLetOZyi6rvKNkzgckZhI5vAAu0GWv3QAK4JUki3tb136YbYt6RtYdiknEIlWXaLaYrs0ByMUk43pdK+n6yDcn+bo/twvkbKEs+BNy0qMH93Bi50Y0jeqH4JBQTR2yxIpJBFLO+WPY+ckUdP3zTDxbM0LpnsxJbiZlnzqIlA0L0fk/PuTaZ9/q2YiMeQfPVKkuLbXDJp3gbBtb541G/TbRqNPyZacG4rUg6h9lwemeKgf6OjkTWCtnT4JjEqjmMaXLDyRlBASbBIMcNrmtulngilKUjzOTPDKXAQ9u/wrbW4hSZcNgBRfzK3qLKmb5fhJACvzuxdNRJqwy2v/rZJQqX8kPJLrP1fNHsWPBRHQdEYeKtRqApE+iYzBJWObsEwewZ2Ucuo2agzKVqmHXkul4ePcWOg+dAU+xYrpOysv8BSXLVkDxUs+wI9w8/W006tAH9SO7iHO4uHWMiZI0bTJkER0QJJLPq8nxBkBu+VIBVznEseBmIeuwzzy/8FE+Dm3+FHmZ6egxdqEsgKVkAsg+cwhHkj7HvbxrHKOQ0JKI+EMPNO3YF7CCRSeB05boOBQU5CMlcR5yL5zCH6cth8U1mgCJFtWtq5ewe/H7HIzOw2eh9LOV/UDKOX8U2xZMRNSIOFSq1YCPu0FSRaqN7DOHkfzZDHQbmYBnKtfE/ds38d3c0ajRJBK/6/3P2lJvmDwIzbsORJ0XX2V2bH7/bTR6NQYRkVHafgvJDACSKnyLAInXX3ZyvE3rWwS3aFY4IMn2DitckOsaChSd92tWOn5OWonbOZkchJgPvpDMEEy6ejYNe1fFo2J4BCLadUdwSAlknUzFLyk7EPFSNAdAmQcC5+blc0jd9AluZl3g6wfO3gwEFxOsVDBYFh7cuoHtfx2Lms3aoGWvtzVAfJ5t49o5AVCXkfGorCROWWn9LqQr98JJ7Fg4GZ3fmYGwGvX4s2sXTiK0dFmUCaumOwcbJg9E8+iBeP7FjnzO5mlvoTEB1Lqrljin1ePUYGxcTKtutJxM42Bl745jk+CApHKLwyY/Jnn4bOkRHJDIgid/Nh23rmQgLDwCnqBg5KafRMz0z109u6SEYQgpURqdhn4ADwVaApu2ZSXO7v0G3d6dh3KVa3BttX3+GFzPOItKtRsiOLQErpxOw4CEzXwdfZ8DkpDbh/duoXjJMsww31fO2SNC4kbGo0KtBgwaM1DmBvEmjMOvVzKQNHsUOvzLJFSp14wBuX/rBu5cz8ad3GzU+X0HeDzBWD9pAFpED8LzrQRAm6a+iUYdY9CgdbRRuJp9O5XrRD9OtY5cRarqHdLxK7s+0ja7KJDM7oK706CaqE5O2rloAuq06ojaL7RH2ldLcfnYfsS8v0o7vusXTmPPsg/RJnYEy4XqThBIBQ/vY/O0P6Fhu+5o3mMIsy4pYTjqtu6CiLbRSFn3MdIP7kL/hM0ICgp2jI1EQtt5P2jEBznnjmLHxxMQPTIeYZSDpLtjkGQ+elzwCLdzs3A94zQObFqMsFr18biwAHdvXEVh/kOxIDwWuo5IQJmw57B+Yn+06DYIdVt14ntsnDIEjTr2Rf02XeGRtZUIvnR1vj0+r1f3BWnBELPEs4h3K/v7WZyDlDypPplydoHstJY7zSRlqx3W0f0Of7kYmcdT0GfaSt14/TlpFdJTd6L3hMW80vkHG3XSzkUTkX/vDnqM+VgImJJeACnr/or0A7vQP36TNBTA1r+MQuFDETh6Ne8xmCVu78o4ZB5LdUFFQfIWFsITTDnOZJiNNrHDEN6iHXYvmY6sU4f0dZTLKoU3QOlK1fBMxWooG/YcSleoDIsWCIB1E2LRottg1I3sxCzbMHkwGncigASDPK52kmKScoAMA0Amwq+ekgBl7ZypTYI/SE6AzA6Cr1tzOhCmu7Nw6G8CoD9OXaEB2p84l3NJjzFu46CYdPDLxcg4/ANen7HG2bogAbYsDdCA+E06Bx3fuppXOL1O7tqMNv2H4fnIzrh09EfcvZblAuhOXg7S9+9AvbZRKFOuIh+TaxU1GrdC+Sq1kHvxNB4XPkLZSs8hac5ohLdsh5bdh8htDBtn9mxB5bqNUK5KOAMgABqCupGdyXJgw6RBaNLpddRv60icKFBV4StqJFexKm04Mc5dxHphCYCEkruYpCyxUQOx5vttOSiZU7baAenQ10uQeSwFr01ZrveRdi+ZhsKCfHT580fyO9WekmDS0W2rcTr5a/SZthwhJco4+0rwIGX9fGbQgPiNsIIoB8luhaAhvhjRA637D2O5ke11F0BK4qJGJbCL4y0BCZJL7mSBun3BeAQXL4FX3h4v8lJ2Br6d+5/4XY83Ua9tNAdz7YRYtJQAEWBkGpp07IuIl7q5Og5OF0E1TX1AklsWXFAb3Qorc8cMv2apq0OgHZ7cG/Jp8fjlJ7nfQxJ56KulyDyRgt6Tl2mAdi6cwOah49APXAxRMnfy+4048f1G9Bz/CUqVq6DNCD1T6roFnIMGxG1kiePgSpAof34+sicD9HyrTrpGMhEyAaoY3kDYdNlW4D056fZUgzV106e4evYIeo5dwMHevXQ6G4Tu786DhxaI14u14/uhZfc3Ua91Fz6HclKTzm8wQH57RLSXxA+tcpLZmTCbqzInUg7K3PEhqZ/fno6WO+5cK4aJ1c6+XF+jtiFMJgkWHd7yGUtc70nL9HbDj5/H4/6v19F15GzNRrFBKK7/ectynNu/DW98uAYW5wrFTCBl/QJcOLhbAMQmQRS+tJdEr9UGQOIJZREtUfIFSJ3jBkm0hejai4eTsfeLOYiZtgLZJw9i//oFaDtgOMKbvyxzh41EBmgI6lFhChvrJg5A006vc/ng2y3QG3kSKGEcit7wI1JZl7d/wAwyAy5+l2EcfLYXKDBe9gMOKIGYlLZlGTJPpOK1iZ/JDgVw+G9LcPVMGnqN/0RYYdcurgXKUbkXT+G1iUvlMRVkC6kbBED9P9og7LlhMLwWAdSLk30dStjyZYIUCCClcZzMjZxEID28fwfrKad0jMGp5K9QtX4z/OGtseLOvJVkI3HsG3jBYNC6if3RlBnUXbeEBGkMhuhtc2cvKVADlcuAS9sIIOWkTBYEAEm7KiF3FBSzRvIF6fCWFcgigCYs1buy6anbcXzbWnT4t6koX622McMgFsmWWUNRvlo4Xn5znN98Q+qGhQxQ7Efr4AkKkd0G8SwscaN6oXXsMNSlolH2ETVQlqVtNuUgkjjXy4ZwXDonieJ22/wxyL1wmh0cWetioaFGQxNIHNMXL/R8iyWOQCPJa9olFg2IQXor3L19bs43CPAEkwKClPHddA3Q05hEbRcFgszeen/IVcyqwvMbAugAeo9fIhjpsfDowV1snTuag9ikS6xrCIWK2h9WzELrfsNQs2kbhyGy53dg4yIB0Kx1Qv6UsaFJB8tigCJjh6FG4xdx6MulaDtotItJ1LOjOiggQBIZE6TcS6fxw7JZeHD7JqKGxyGsVgQHMf/+bd7fCgkthTXvCYDqt4ligBLHvcEANXy5pyFf7saqbppqJhUNkpWxdZoNjzMnwPWPaQx85E6DZLCJ5M6jBkiU7FA+IYBOHkSvcZ/qVhKBlLZlObKO78eLMUNRreELfOz+zVzsXRXHLIoaEY+gYGKIsfFnWThADDqcjH4z18paxnGO9KNXj+7NFvfSkX3weh+jF/UAQ0I0SNTqoU5CkQBJkKzCApza8zUOJ61CidLlUJD/AI079kXjDn34Xr8c2Inj29ej1/hFuJZ+DKUrVOWGKYFHktcsqj8atOsh2KgmhHynf8RBZwiF2es/KWRlbJ0qTAIXnY5kuXOSaOso4+BiEgGldlp9chL14wRAi1zTQgUFD7F/7TzkXT6P0mFVUKx4KG7lZHLh2m7wuyhXNdydE+WkUOrGRZy4+81MlDnI2Z4oePgA6ycO5N9AueKlIe+Jlg/FQcrd0wGycf6nbTi+bR0bmZpNItG23zCcTd2OY98lInpkAspWrol9a+bg0YMHaP+nca49H2bQ2NfRrGt/NGxHDHJ3BcSOq9OQVbWRtuAB5M7K+Haq3vKWtkeOXDFcLgmSCPJnCiRiHFNWT/7I4paanNnp3MAkudLFrRzp8sKLK2fScOPyOXgfF3DvrWazl0R3wZBSZ+bOwo1LZ3AvLwd1ft/eMBfiGS8d+RH7vpiNf3qlN1p0H8wGhBeU6nh7KAcdwc4FkxA1Mh4Vazd05yD5F3UgqMnbLHoAajVqxZ9SIbxt/jjcv52Hxq/2QdqWFWgTO5x/1293b6Ag/xGCQ0K4AKcOeGTMv6M2PaPfQIrKM6bkGXtEej5PTArRDQRAgjq6KBTAkPX1B0m1902QVEvGBMmUJ7d5UN1w2hNyts35m7TUqnPo28Rz+Mqd6jyovOktfITsM2mo1bQtLxh1vglSzi/HWOKom03tm0DF7ONH+QhiWbREM1VuGeX/do83+25cOsdd+C7vzOSxtJO7NuHnb1ZpsEuWfZbNRAi3sQJNDamZO2fKRw70Bdw6ty4mTZE2W9pZCQpP7fjkFTPQKggKqL8HJA46j3EJkMz7qvEs9mW6a+HIr5Jhc0GZ5kYcF6xWe0kKpN9u38DlE6mo1bwtQsuUD1jM+tGK+2niU8oneVkXUL5KTdFNJ8Pw2z1upBIYVLyWq1JdtnWcjoC41lfunG1z4faEa3QVt3gMBkj/aMkkESQxreMEyWGT+kyB5OfufLsNmqFOb09Inti2cAYjfW2+wzY3g4ytc6OQ1c1V7e7cIMn62t0iUr85oODJDw2Q3ONcMvAy4Yskz39Ii10ESMZ0ke+snF+r52LS5CuApQcXldyJKt23SxAIJCGNDkiBd2XVIvCXO7VJ6J4ScrFCgukCSckYM5GToJZk89kDMUlv06tuAy/EJyEkAq2YxBvZVDdp/HxHjI3ZO7O3JoF0RrfUqJY5POIwCTauEoPW2LbNo7/+TPIfRgyUC9QAvDYCcgjF1dPTHQPBTi1l1PaX+c53/EuD5BrgN+TOmNEz86WSuSfJnXg2EWEOPHdO/h6QZHIPCJIzYuw7KeSSO1a2opumFpBoZX07pXqBjaO2bfPwfFEgmQzwBUkB4d7wEyvaL+g+3QgBKu3KqmasMiw+XXINkhzqN+otQSBluX0nhdSCkH07KWn0rOLZHJBUt/5JMBU9vSqTPt1Q1zTGUApv+5hTrU5D1D3OpXPVzeDiwc348SRIcYD9ikvupGHQY71GLnGtWBlc1XLR+UVuT/gzSUmlmWMokKI3F3BbQ00Yaek1meQ4UPciUxItJFCMK4uutXpWX5D+O0x6MkiyXeQDkp7mCTALzsZAztzRyIZt28meYtZ7JesNzPovre3F1xCIb8QAAAAASUVORK5CYII=",Ee="data:image/png;base64,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",Pe="data:image/png;base64,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",de="data:image/png;base64,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",ee="data:image/png;base64,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",ne="data:image/png;base64,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",le="data:image/png;base64,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",oe="data:image/png;base64,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",ce="data:image/png;base64,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",he="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEwRJREFUeF7tW3l8Tee6ftbOPKBoKcrR1lBH1FAqqYsWNdVQlOOgpbTcttfQ1nEdVWNRWkNd10yvOodeQ39XUTVEhFDz3JpnkcSQBJFEImud3/d+w/rW2iuJyrn3/mPjt5O11/r2Wu/zPe/7vAPjzvEllmEYgGHAMHz8nf1hx8B+lZ/RL+K4+52fZwGwDAM+uhKwfGINiy6lzwp7+Uy2iriercj/Apal3tkRy6Jv48fpR34dO07/5LXsuGXCskz63GTv7FTTArtjy5RriXPk9eKdrWvQ1/Dr+PrsZ/m9Jn9u7Xx+P2w9fo/yM/b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",mn="data:image/png;base64,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",Ot="data:image/png;base64,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5OSRH26/Z5sSnnQPNED+hEfgR2//6IsDIv6TCuUjgSDuqU0qH2FBAagbWEk8+66uoE8cqAcmoQKYHUT58daRHJDoe59JcjIcAlsv5PewGKr8I5v4tNu5XAIv0w0E7x6tA2wfQF0kSiyf4KtNaeEOUGOZxQ1WdbmBIUYHVs240mYfvSVPN5kRttGZyv754cOH1zbRpc2hO7AHGiB/woPy9ptXfpVk9DAOWavFRwzUSE/FXDEJ0vY8XLrj2z6TrM63jUHdi7zA/ZhkiGMcphWRJr7ZUrEww/6QDCVzV9+YtcvMkFYuUeAt4TVhKdPAGhHjasZu3+yjklupvkEM3FYQCB3eWEB96qy4Pca2euhtG+jOQNeIxsHuDyw+Nh+M0gvHTi78qyf8GDTVb7MHGiDfZgdu5/QLF979AhX8P0VPpoKBRGhbEuciUPef2PGsO7YKEd4lab8DmFRstn89+i90AZUavCGv3rGBb1cWpxulGwsRMuvrfcnW4Xf4cXiqs0KGuJjIGhix9VRsuCXjvrmJG6AaWhdSWCl3oURoKdY+bpbj2LkvseAW0yz/348ff/q97dzLzblPtgcaIH+C/X/hwuV/JgRZSDIxK4Zj/qQaO14nx6zbe5SrrzZw3FmMSjHtRAMm0tQrLQvmowGkJZg0bpvhssvLK4TlwNYLj337Vdbl89alIr08xdgrm2P7L5Sf4vGztgj3o0llGxizapbvBiYaYc9QVbF5TN2zpePH53+LUtq85/MJ4sF2qm6AfDu9t41z33zz8nOUkr8f4mSaebu32ysQ8B/dWuelPd5py7VRKVZTdybDgEkE7hVsHUfAKFwKILECDT0HHl5WX0GxTakQ8QJAfujQQXLn3j3vaB9GEXIiUm9PQMw8npn4F+vtt38kjGawz+C0q9MhtwfaQQOSfRj2baJfbZ+iHPX+Slh9XYL86YnTR/7dNm7p5tQn2AMNkD+hzr/ww8v/VDByJFzOnWTCKbT3ABpPlFORFQHNC144WYHHQbhFjBJJPE4jXPXCJdy0AOWiELoUoHNCVtfXpW5+eOEQWV1dJasr6+pIBNZWhY4AMlCo0wRWl+f3s28xIu7vdttd1Tp4nUZuphh1Moqnh0eTGnTRUZ+YS2O84K3/8dSpQ588oUeiqXYbPdAA+TY6b6unXrx47ZliOPjlOiBILcL3MRKx9PDdkKjgSrBFy/YNiODnf5wmj1l6wLf9bpkU2MOGJhoQMnZT0b3FRcn6Dx9W0Yr37t0jUiqPJgK6koB5QzmuOndMkpXXauXOekR9Ijc4xu75qb3xQg7TCVm5M/5pKxSZH+8wUwmsFCK3jp86+j83r4bb6pP95M5rgPwJ9P1bb136J4SLY7XAWQHO+NmulWECrbciKMTpyRZnVA1OHqkh5laG8WWbpNRTsdEZhIqsfwl2iR2sUlZZXJaZBwHI4dPvD6XUYli5j4eIkuqx90C3LqZc9pEPi17zEmNm8VsfGGneaOZQzcrdFfhtdRMPO+PA5Xl1ouyPwT2PZz6M8D86durYXzyBx6Kpchs90AD5NjpvK6deuPCj02U5+ofhuUnmHABHKqteLWh6ererMcmgbQPSpqKyfR4QmT9MqyZIF+BR05qMjYg4YqYNMkq/35dAfkgDObQCwN2GJsbYrV/yUBmZKPfXX7Nj17Zn0QlJPwRyKFdFsBhoDg2A6lmTjAydHbHrlHXySnXoHx0KhdHBnpnObx44cEBbwq3c5c05j7sHGiB/zD3+5psX/7EoyQlPOkkgq9k0KesOIbTysipYY63DNECVWoAzFXtRMK51aYBD2kbAXJOx6gjUFxcXpX0LgRyW/d9b9F9TabvZxn9Xh+TJy0iHn1ezchS5Yrsh+lGRzgAZ7RTrxuNZF8bojfsEIJ+arVBCrhw/deRfPuZHo6luGz3QAPk2Om+zp7711lunioL9I0diESIlYpkTGOBXmch9vWlA15rveMaNKbHhh+iFDanOqESkhHQTNsDXLDy52+waDodkZWVV1iyB/NB++zo1YNSrK6syvjzMV26bmpRJdEOC8Uj2TyqN7UT5yFVpaUBO7HM3jI1TCbrHXRJeuo/OS/oXPKDXRejrFpT+nydPLlze7D3eHP9keqAB8sfY73/5lxd+hRB6Mi1eYNi2tLT6/Q5VKWwrwN0zChEmm0VIHmKkpQXDzqUBCNucWN0Y9m+kGZg3G6kDI+xPTBVU87kEccjLIs8DjRyAHEEanKoYO9bwkamrWwhUpXfL09OLtlDVnmPT64KU8YhmZGEsupuxVM5ovCuvmkqkl/vHE0JGaEZXjh2b/01K6eAxPiJNVVvsgQbIt9hxmz3tBz+4dEKU5T+O0QpDDy41YOtBhWPljRpATyg5GkX1HhuZ4Vxotc5SH8HQa+cS4OxZFASqKCbaKewod0nQAGgi6OC2uADIDXRL1r686skkqlbEvHUhrl/Sfe8bmYo3ARmgT4V4mgKQ7yI9aXGj69nKEKz97kPhlokR1ikEonWyESt3RoBR9v1jJ+f/cLP3enP84++BBsgfU5//4I13/mFJytPOhaafwhpE9h9HPOVHjD3R/krACULnMA4kwX0z7Dm0QYHFqrzMcEcC5FJGBBycUjYxIJwzcvhQnCwRil9eWZFJt/wmpoHc1aV7JOgYB6wpHouRVu1PkG3PbERAjpy/aZA3xjEN1s5OVrUf30ehj8C9Go8xxomg146emP8OpTTOe/CYnpummsl6oAHyyfppW0e9/fbbx/p9/k/8BxvTMxTWhlAL8UIECgEA4aRQCCKqGXQSsi3gRNqrUyUQPY67I20I4iuosVve0nqXl93U5QXYSXDGmRDhBciwslN+gouH7Ik2HBFjLRaPEO4l5yEptaIuVHECx2cyFt8Ob5gOWIOud39EdNoZttRqWs+EGInI3wivghOUvNXrtd966qmnHm7rxm9Ofmw90AD5Y+jqv/z+27/MKX8mVZXjbQYxA8aE0B/DogeIdvm1fo9kAGRp6DYPMN7r81HcoqjttgHRHCN+n6ijsfbdnOYlw5VZVsKLtaaMSwA3Tk7LQA2QR4ZHHbG6qsIUHWNFKzqrWLcJWwku3mfKPvP2DWEdK3cjWMXa61IbRM7LJEGvYuXmptImi5F+KdjFdlv88OjRozcfwyPRVPGIe6AB8kfcoWFxP/zh9dly9OBXhRBdK9Qm6vQfawwHaXBG+O6XFmrjk4L6GE09Cep4UlHBTuu1da8AC9WVRkNfdH+9Lxf94I9k5AfB2RkimmoBOEeXF1fcS6G9I/1kWjGwuqyJEYhXrfT0DFEVoLvS/HIx0KYdlOqIJHqj7fHgo/tMCMqvE8LeXFw8evncuSZh1qcMBZ9q8Q2Qf6rdqwoXQrALFy4sFH1yijNyihB+jHDWStBDxDvVXv9Rr2bcFUTUXd2Y8MaISZpIjwRAT1RXwtlXC+qBZFA3GwBZJXxzkAJy0Mhd68IlPQD+q+sqXNEHQl15FTOvklBsPLoaF2+W5A1esA/NZlRLfNnINTBhAFAbk4wd3c9e/hVdjaBkMcvYW5wP3zxz5syDx3D7N1U8hh5ogPwxdHJYxWuvvZb3evuPEUJOMUJOCSqOUEHdc5nAFR8E0ZS5Eh0TjrZEpAZuW8yPsXavjYgHFE6OTjbDA0Bftqnsdg8NY9kG3hK0vuokEgvKOSMHJSOv/kDRyyZk0VMdYgliYuYtAbuCWdvGVTByfW5kAHwLHr+wAu2PYtGDy1dl0yGl4hJjnR+ePr3w4RO45ZsqP+UeaID8U+7gSYq/ePFiezikJ8qyPCVEeYoRephzosbGY2COvwW73JLzaIc6JzEJd96zRMy0xSAP6XUpmK0HC4qq68KAF/PtdPviqArQuu0b7rFRASDfDwuC9MYKA6f0dZBY3MfBrG+svO1aL0+Cbh2YV7L58C1MafYdOUQrUD+WZmAmSD6klL75zDMnLlJKfS1qkhuzOWbX9EAD5DtwqD766KOpW7funup1O18flfyEXNCS0DNizNJPOV6CnkBWHzQRMlSglNkcgXsgLYT7K+UR2wD/CqpBUoEelAdpalMvZAZpRTJyXKkBc/xNCFlfXyf9ocK1mHlXLM0PlvX7E4eaBUL2wArWnlxdiiNUVAFVMkpqdSilYq3Vyf6nEydOLO3A27tp0qfQAw2QfwqdCkA8Nzc3MxwO+3Nzcw+3mhb0+vWPvk44/3kAckgAZV5EbMPuEjS2CphSl1kJnAbiKmlyDcuvSRtQ2dXmnDpmC+/qHBZe5Ik3WTCMfILxNKtC/RWf+mITMyBbZJ2EMuFK0KhLA6BPMWsTl1kno+RQv9TpGRkO+neff+HZ35ygK5pDPiM90AD5IxrI5eXludFIvEy5+KIgYkphEhNAJCklN8qSvnno0L7rlFIxaZUA5Jzzn7fHa7apgH0ol6eDzIDJeli2D9YBYw/khSBWJpBj/EBqzNJr8X5SYPeO0/Q7AEdg0jh23ANyxsj+g7MOc7UxCt8pav6GFZ/wQor0rKaGlY+LAtJtTvYJ2meLsfHm/vxAnh9Y2piVMyIBPJhaDAbDuy80QD7pY/aZOK4B8m0OoxCC3r+/co7z0U9ADlAdgODA2k31hRDkdlke+LcLC1S/wqa+csXIyc/jSAyD2nYbYJ5m7BLU4b8E2PiuRhP9gjThWoBCsI0Bd9KVolsKbdR1ynYxwuEFywknp+lBFgC5B/I2/StOBatiy6HPPNEjQOCYQfsSSRTtEwypAmQnvSRnQWjxUJKxI0SXxBv+p34kPw2Qb/Oh3oWnN0C+jUGDsMI7dxZ/lvPiDCMZIUw4AC9VwfCVZURtL+H/dG1qKvuDubk5P8dqoh0eI0e0G4O4fcb1+bBPvk2+ALbOJQCGjD0JRRU6C8aKyH9YA9AWYFP9O6lzFZ0Lsgqw6KqPBfJQmA91clQA9BNo7kktP6ldBwatJnFZNSNPhBoG8ool2HgCBbKJlk4sA09NoTghEsi/1Egr23i0d92pDZBvY8ju3LzzMmf0HJdwDTjOhPqloCEjzAJ7ieCCUrH47ruX/uDVV1+tzWExFshN243kgiHbyjDA2JUEU3AA9liIiYE9nTIAg7MP6ghxEiwdd3ElwFUk6jKgtgp5VRJtt20yjDxltQJnJ9ZTwOlpVnxGkeCosb52XcHKa3Vy1wtGIkkaRmQclOydK/ZdacGC6JcGyLfxRO/eUxsg3+LYffjhh3NZ1v5Whua3Dqzl9FdwwqkMAtMfJjLBaUmFIILS/J2jRw+9WVd9SiM3Gq80FwGwKQwz+jJ6wHXaV4PzEtADYE8T8lh/DUE5AiNMFydg3p5W7BkBVzK0NVzJGfYbgN3s/lk9Qal501BwIvSnelmzmud4WRHRxbn+Qap6Sg9PzFJ8vds3ArY5iJXnAOB57rXUX5KP2+oOM/dGw8i3+FDv4tMaIN/i4N2+fftromDPwemlElC0kAK/Mgneip2rf/1thJQlH7zxxvy/+Xt/j2oRJm7IWEaOmCZ26sV4jsBdGgBTl9oOBsGw9TB3dxVrjBOqqDKrDYKutIK1VsoboP8Ph1ImqvsoIJ8xJjOxUF+dHzoMYSvMVsCRatqvfqRZsDw/uMhxOrqPyAk2b3TvXGvfY+5JA+rmsPDv0aBopJUtPte79bQGyLcwcuDg/OiD23+HMdZSIK5kFfjmlFMhfzt8NiDuQF8Be0mGf37y5MmPq5pgww8R7rqfVk+xp1tGLhviSvU0db3Z7fZj1GXIOujq5rt2MVHlzgDrkLZs4DKBk4jretEkkFtl3McH8vTRPuCpNpltfkRMrIV7IG+APrBy9pIqWbl2eurz4Xh4s5GyGYHzElu20JpiqSjRaQ2Qj7tbPnv7GyDfwphev369S0j2c+bULFMMnBTw/4Cdwz7p5PTlcCEy0Wrxy8ePH3+vDsht+GFKB0eAXQ/i6A1AwdoirDt74K7LBoYO29WiJK8WDbYhB4+X8hsQTMowYyJaCl6QYX98OmwL5Elqn+ph37jA9Ukwty8+SstKHlgHxdbp6OZQrHvXat+4bNxU3N24QxG4j0bg7Hy+iSPfwrO9W09pgHwLI/fee+/tIyT7KThVgjjgTA5TdMTCDbhbEAfNs1DHy+l8SfK88+GpUwtXxgJ5QlWQ8BpsT0Wz+NDrmLrd7jF3Q9dReKJP7iWYq4WmvuM0ShQDjatz/oUXbY4N0H7YHyYdtPHpjMzOGmkFaTxVgIiti/4NOnwxHPpauZkbbCUfOdL8Id4bdG/LvtFsQFXvzICTyWKpKmkMg85ogHwLD/UuP6UB8k0M4MXB2jMaAAAgAElEQVSLH+3vdulBIcqnOC97lolDGRqwM0B0E26oWTp8iQyFJmrgL8ty2KbtEWmRbjngBWd8jbFyNcvO3Dx1ivarnJ2yyQEbS4O4kw7MORHrBgDRrFuRPV2wtw0BvPmJ+s2kEFAAhHP5VejiFZKEt1nGjnMCQD7JRzLy2Zkq6b6+CI2hgLvrkALAfupYub7SwOGJrwHSBkDUiVp1GZkeayJxFAtOQ2byrPgkHL+4OnbqwhiUI9DIG0Y+yX3zWTmmAfIJRlII0Xn//ZvP8WFxIM9zUZCC5CQn8G0+QggRbjNMHaJU0tU4cM+yXJRlQTORC8h7yzP6CaXiacboz/nM21seZFm5BWC3YsiCWirkMMXIjX1QoB9D/iTb5VlGn7A+1lAbqNfWTV8NdRx87dJVfTAA+czsHo/bmmt02ng8bwjHRaZCkC+gCHRyjdA+HsdALxfr5IzkAOKIzUfB6rXUOvQpYNOicqurT1pzKRtpZYKn+rN1SAPkY8bzzp07e5aX185yXtp4sFzkYhRo3jnJhZJXRvClMDzPBRm5Csw5bjvshLTkIyLgWPhotg7fLKPzrMW+ogBUlZN2XGLvVxiBaE+Uz30YsYKxwEJ3CsSNTBDo5BjcvVbY5aW+QfAT02owCmR286dcAJSQlVJDpoAcpBV8vQn93gYY+sxWtQRAkpD++rqM4vFCEVGlkU4Ox+a5dFzaJfN191WqWSEum79xOVXgH2wHZ+eXXmoY+WcLquuvpgHymv4RQrSvXv3gBTEatokBWjh+ZNCWEJEjtq1xGdh5WGwuhECY7u1OMfYWxJ+32qezjL5Uq4VjOSSpm/sMGdkEh/ioNZK940gIrJEn49Zr2LusLJhB6LpUFQnPnd4EZ8l0tZsCcmDk+GJQZYEUFaQ99LQq6AMAc/dJMW8VoijBGwK/E+/rCXkz7tZIadks6lQ5QOH2bIB8s725649vgLxmCK9evXpGDMVec0gIxADOEteDMvK8JUajoeTaIm/FsspoKM+B47xTg+3tLH9GMnJEdVN5VxQ4p7yW8XYrqfj0PFBvKmSVEJg9pKqTfEJwTbB0T0ZmBKJVqhJkpYZMMvKZAMixrTAnhbYj3K7PAW1e5T1HkKvbKHXvtnFcJluT8hQkTZfvUVADHRL2zaLMaNQw8s322W4/vgHyihGEEMP19eIM3i3BudX2wXcwJKQDxLMlOoSQgVee+ksI/5y2YewdyIvhNwD2mU29Xvu5LMvPYVklXPxRFS/uAXbA1D0YTeN/4AD1WbdpsdXD9YZYWlE7nGSDz8RarzvIRHWkXh5R97AZIE8R71o5GhcasFyXpEtLJzLyRGvfSdUGhXkaQ+mFV+LpRVxAqOXHmRtNb8Zgj/senJ2NtLLboXlz7W+AvKK/rl27dmg0Gs1GQNvWoDwYSNBum7+hnL6G4C78JoTLfeA40xsA6PUh7XZHGYRBXxoCKEzosqamGO129xzhXDxblsVxjIa1mRA91MSqhAtV9JSKKi0c9UnqeA+YJR5FrlaN4Almr9A/AfAKiqpmFuNuawDyPTN7Ktx/UZCPp6xUAb1Z7ZrLfCdBC0J/ZIrpJ5Qje+G4PK8BKUdnrKNg0HcLm9T8YTQa3P3SSy80ceTjbprP0P4GyCsG89KlS/OjEQME1p8B4dwx605HySqDAaUdIQRee9hucwXSfR/GzTmwa2PDldzpdAUhRpPttA4cmPkGpWy2LEVnNBhavSBSmz02rf+IGLZbnu/L38GKTtucqu3jtXAL0QjpfUPgrrnqWlLx8ZM8bwrIe9qA4CX2mKvGyOogMubyKRwOSzNtS80EJml3mL3SO2eiBlinglWBRqPR3ZcaIJ+o+z8rBzVAXjGSF79/8XDRKXIhAGQl9BJC4H0RDoE5N/tgPwBxj3S7XHh+MrJOpqamxNoaIdPThMC3+UxNacAnajvs7/X2v9hqsWPAskRB9hSiOFC53B45BjEOO3DR8FIZhZLwd0ahgyi2XK/w9DgjimLxt1tYT+jv1cx7e4xcA7mrWoNbIHlE4XtVqjTWrH39GqqoItxR9UHY/6bBI+XYrGlAORo1jHzTnby7T2iAvGL8zp9/92CrlekJsEJfWCsyNdXTwP6QEAJ+0IeE82nB2BqFb1cc7Fef6XJarNi/1K89e/bIYx88cGfs2VOKPXsO/DUQWWCFEedkP6VkQR6Riv6oYeSOOVYx9SqGXcHIk8YgMhlID49aEInlKbaeCq+c5BGTjHwPAnIMdKkCqqI+TKPsSlMdxSMvB7PfsQXYTIyp9Zkm1DGFx2abMQhJOb6mU0Zlw8gnuWc+S8c0QF4xmt/73pW9MzNDGztelqUgxLxKzH8nRFnOaAB377rdt2+fuH/fFT47W4rl5WXZ37Ozs+LePbdvbq4UjLGDlPaOZFk5beGRk8M5y06rB9qDvbFJsbxzolN9cHdKiP6lHXQpfdyAizIuhpYGmrfeN1EkDSpwq2xcAl8KyDf7pNbJ0x5uB4BujJx90w+uuEo8D2HaxbFv7WwXX9MA+WYHfvcf3wB5xRhe/cOrneGJYasoCrG4mMt+2r+/kID9ySeEHD4MTqWnBCG3oxKefvpp8dFHHxFCjhFC4Ft9BoN5cfIkIR988AEh5CQh5ANy9OhRMRqN9hcFPSkXCskol1yQYkTavfw4Y9lZA5qbBfNqx6ieaIxZvRngfzwrsOdXSSVVTk3VH3bNkAVz3WIsRE/4jAGQ9/b0IrnDnF4Hp+aYKjU93F/bpFRF0tJgw6dL8Byo7nVwamUsloN0ATZ3i502BE1Ri5hGw9Hdl76yM5ydS0tLs0JkZ8uyPMA47XM2+uDgwYPXtvpC8glvh8/dYQ2QVww5vMbtj/7ojyAUnJw4cSKKBd/Y2Ii2fe1rX5Pb/viP/9gr9Zvf/KY99nd/93flvl/8xV+02y5deu80h/hFCEscDohotUW73RJZRp7LaH5O4RxaiRgtzKl5mYQFSdekUL4Yz7x9SPcZvEIo5N+0FUWGJNT0EXLiUDtUwMQPpAJy45v2EFKXgd2RfrHjiDjuQlNyldNz4gbjA6sagI/xsDsB+so0yn/LYbkjgPzjj++/0GL0r3PKmcnqLBgRGSG3N4Yb3z127Bhy+W+p55qTdA80QF5zK0DecSp7aPI332/2zgKD8dZbP5qH87pcCBO70uVckF7+pU6n81PR8vwAnOtDEt26/DrAtliSWoIv66sDc3XV4w1CtTExJaQMwiR9aoHcaNlBe1W8YUISiXRvUxtGTgXbdYCPSq88Dpe8Wd1bnjthA8riyQP53bt354fD8ufhDVrw5iz1xixpZoh6U5a4deTI0/9ukrFtjhnfAw2Qj++jT/2IP//zP585QA6Q++S+1s/vkbm5OZHn3Zdzlv+sAkkEk97Pqu262ToKxQWjIH3cT1OefCdmqJ+n5JYYxN2WEJir5aH0ytBJO18CeQ9Fi+ITkwAYXrx2ZkZ6N2b3dTy8et84xh+aDIPZk157eNxOAPKbNz9+lXL6tIJuk94ZUjir3zD7ZGzvvz92bN/iVq+zOc/1QAPkO+BuUMw/Zv3Xr18/yQv2K4ategtmbHCJp0/IQ92WVM5yxAtDRQaFHnrgPAEbj49PSC5yk4It+W9gFTzJJ4V+NWMFQN7tdZMhgVhUqRZYgsLHsV+JtviNP6bjQ9kDxx6ifXaU8Ii5NkxUPepCzPCHxejuV77ypSe6IOj99z/8FqWUZSIT6mUr5gNgXhDYTvLy0okTJ97fAY/grm9CA+Q7eAh9INesPKLE6e12YQ1CBAShQdQLApMx0orP0J1i7DFvDdgp9p5ovmxLnSN3kiEyQI6PDf2Lk8gZEwN92Kha2h2wfyPz2BVaiPV7Ds1xWr9rraseko2VTwzI33tvcV9ZrizkhB6VzNvk5lcvzrJ+IWDklLKHhNB+WZYFY8X9M2fO3E0RmknG//N+TAPkO/gOkEDO2a+k8okn09pODNoauFM+0jHL9n0d3NHqWNtGy/bjkyLnaOTsTCJ+9WBJIO+247cSeREgKWCMy8QOzTq8nsTxWSfGVF4NjmGPGuC/91NbQRTlwiCV8hMB8suXr59kjEsAh7z6hU4nBxn2TWI5me5ZZmseyTTPI5lJVKd8JnTl2WdP/IjS6heS7+DH9Yk2rQHyJ9r99ZVjRp5aKGNBIimJIC08lFsc/soGeCwb+QO91oVMvSp0URYY8WuUJjzQ9CUuuTcL+Q2afHAsI8cyUPg+UMt2tcQTAiZOqIKPrWhGCPghKZ9kBoD7P6XGJ6u2BXsJ5q0zVDLyrz1eaeXy5ZsHhNg4gdtr0jPLlMwoSyhO82zSO5tMoEUhll988RkXszv5LfC5PrIB8h08/AbI6+PHERTEkri3Bt9BaAzythtSevgYjdwn3L4i7Wvhal9slKp180mHxzLySU/Ax1UBPnZ8YmYP59rFP5Ox/LpmVQF+6ATFhqKu1icB5G+/ffWMSvumsnfCD3nNMhmc++0SzQ1kAjmZdK4/kKnlTAK6L33pmRuU0qr0/VsZ4c/8OQ2Q7+AhHqeRV0ey+OCOLxEnpQqBIvl6tySw+ys6bW1uipB+H0SohXvkPGDqmxwXAPI2SCvB2ptxxYzVxLFD0wB4COp4e3jM2AakX1JtTqtj+diAesdxsXbw0L5/ubCwcPtxyBTf+c53si8986WjCoxd/iCVp2jDJojrdLiAZHGQsUh03ctXTM4iCLmF8NvhcO/yK68c26gKAhjXpZ/H/Q2Q7+BRd0BeveKxNiwRCbSO8/qOt4hNp6SVSgdowkmpUb0qtj3yCT4iMKcZ5VOdDqtisZPKHv58YpNvsfeiWCpWalqExhEsSOpJyT9VklBw77prFKP9+/d9QjkbMSo+KEhx7dixYx8/akfirVuLx7Os/AYTYunu4t0fDgYDGZ7icg49RHmGVrz8QpBXCI4ty72CEJfyAtJdTE31Nw4cOPANUrJTgpGPFxfv/vuzZ89O9hbuHfw8f5pNa4D80+zdbZY9XiOPkDpgwqkEWH5ucvvwBzo74vTqKlJgXrMtPl8Xk4iH306OFdPFrVarn7UyFUg+lmZXD0xt8Ik+LXRghtVNVn2qpkQse8pZG24L9XwuRnNz+z72rpKRNULoe2U5de3UqTk/WdAW7lN4DeIHH9z8Sc7pHkIKMRrxm6uro9v37/flas0DB0YSqCFdBXyrlBUqTYVJTWGqvXoVVk8P5XGwYnpubn6e0uLLRmNnjF/L8/zDZiVo9UA1QL6Fm/hxnQJAXhREx5EHALUFmcIBZmq1p9PNY83bgDC6cl/89qJQxi1ecsbDlbddMO90WhuUUpi1649+L5s0NrpGrIWb7dZjiSSOCRydqJa0jJRYiIm1cDxzCG3PZIbAXGbg8ITNjA3nZvaqJEAZsF5Os4xpBkwpY+QeIcV7jLHrWwFHIUR26dK1L2S8zOBVhkIMhBAtwbng3S59/9lnnw3eezX5E3Px4rVnCCn3A4hDVIv7ENHr5ddPnTq1bSM0eWt2z5ENkO/gsUo6Oy3eqtwrWPPGgIDjyG24ss4njpd6W8nFQ+9Jlts7gIyBX0GW3Z6ST7zJRKCPV5DVuqFqdVobmQTyOk4dMN4UwJtKjKHy0tkmXIybQt361oVRKxKTdXuqqkluZ2w4O7P3ltdfVjLjlDEmOOeUCcYFg6xunSsnTz7lM/iazgYg/7M/u7QP5BHICgr/QXI5+O+nRj+1QV+lKqZwkx8o95133lsAUZ13ukII0Ns3CGjonHMxNSUGZ8+ebVaCJvq1AfJN3myP8/CktGLQumLZvoNEx7DdKaltBilQ3u1E3pQA59VJk8ot6FjU/IlS8U7a3628tZHldKqK6WI5xABkPQZjRm9agYyE1cPRcaFGbq7bmwnossJQlcSF1tmzMILFXAs4fac6nWJqempZCFGUBZfpe2CZfAb0HD7wZVfN66Ec8RWS5VfW15fef1J6NDg3IaQcfKGQeE4nmxO/8Ru/Qb797W8nb8FJ74/P+nENkO/gEVZATn4luoMRK1eAqh9GDyNCfRzBFgJgjzsHxDgZxWLri0wGytUShxiqBT9+O5OLmjDKbmJsWnm2QfMMSSvq5EnkjBD8zSVWh/ilYLSi4RGIJyScUOYZ34CoZ6BFM7MzpNtWkTsQHgnbhBDD4WB4uxBlCQiuMFyDusZ1ebxaeQkx/QUh9H1CincbGWMTN+ATPrQB8ic8AHXVX7/+8UleDKVGnl4QFCKvAcoA2S2APoL3caIGmxWnoeZtQNuXXFLL8J1x2a5G3m631gmhcULyUK8Yo1VUseAqg4BZPWb9MeFWxm2sccBMH6vvVQZB24WZ2VnSzmF2oABcYbn6xTlf3Rj0P9HbpKzihlEdIzHdALtNjcJ/nHfyKwsLCzcfdcTLDn7sdmXTGiDfgcMGcbkvPf/SM6ST/ZVW1n6makHQpOCuADXNyA30h6xeI4DtHU+aiBg9XjqaYuqmflub92O7IA6F5XlrnTHas9cZImnk3NxkwHnNfVKnyoezkNCOVMs7KdMhodiaZTPfgBdq9LrdJIirhUuEPFxe+jjPO+uMsbIkpXzuswwSWIEzVP1tPp4EowzBSpaRi8ePH/+geSHEDgQMSLS9M5v1+WzV+fPnW71e73nO6fNCiF7O8ql2u7NQtTzfA2HnzFIPe3I1ZszUPZDXS+ut3CJRpj6feci6jc4Tb998Kt7N3AV5ztYZyx2Q6zmMx4C9xT26w6LYbxxugsyXt3w/YQRSiBxsqwN8A9Ghlm/6IDWxMMfu3z+rQZwZ3LY5Z+R5jJE7d27LVAhZlvXzvP2g0+nCy2OFyhOOGboP6FhbZ5StjoS4cuPG1fdfffXVLTk0NzOmzbGT90AD5JP31ad2pBCic+nSpRcIyZ7hvOwYzGAsn8rz9hEZnZLIpyKBIZnzJJZcbAqrCOA1HFTlTgkdmrLoBOuWm51ZsJ1li0/nU3kUbBzqardzeEP2dErvNm3xcXUzsBqWYF7Fhm8J9Ho2MKQpDaWafm/63jKtz/OczM7siYA7lFfu3PvEu1dgxWe73b031e4taXmccFpS9dIHn6ErI5MRDi+FIBmhgvZJnl1ZW1t670k5RjfdYZ/xExogf4IDfP369e7Dhw/PUpo/I4TIlUSZKWdUlhGIi2612jKbnAeM+o8wVa1jcz7z9tlxCMKIA8aE3QNnD/qSibFUWZ5G7gF/6ARFGRJ9+7DpUck1kNedGEL3OEnE6zf9jiBf57ZzF4TbCaZvabWZ3eBjzIVr6A0VFdzIUC6Ct0q12/ZdpSl93FD0O3dAIg+vCPA/X+v1ercpZYWUVHREC8gvGcmE/E5IMHAs53zU6rJ3jx079m6TG2XTt+wjPaEB8kfanZMVBgC+vr7+BULIM6QkKszAhIShSAJK816n1T06qRauIKGGYVexbpUQXH68qf0ECbQs/trzEfMOdIJJ0wlM1ov+UXmerxFGpje1qnNChpxSqxOY6vWf37q0yXBGISWcoBK8BuhGq+kY6fV6pCv1cfMyOpTJVzs+YdZ2b/FOXbcOp6dnQP+WconVyDF/oC7+PCwoI9mAU3bp9Okj7z2O3C5buT8+6+c0QP4YR/jq1audfr//PCHkDKVULSc381rDsrl6Syh88jyb6rSmjo0FQPzAJZfAW7jd3AslqnKsIPS2HM+CNpJX0LaYC5rEjMGe5IHjBynP2RohbFoeif2B9lQMgHrjGLYbWbaUXJJoWrL6mipNk51dcSVgW6i2+o3es6cHWQNV6QbMjbKjNbpiOCTLK/XraBhjg15v73ugmyeA2s4STfy5dZhq1i6rZ2yNMXHx5MmTkL1wiyM5fqybI+IeaID8MdwVIJtcuHDhDCH581kmeqbKsqx3Nud5Z6rdzo+HgIKgUhUVsenUK958pl4ltziM9p9DB9ihNOMlNPfT1HptC5g6uqjUjGOzw5K18lUqyB7sUnWvS8bQitDYYqK+Jun4NDUjHTx1Ombz5pwxxDq8pnFST8j6wyrh+mZm9hAGYYco3FD+pUEcjukP18nqKvg26z/tdvtetzstV3j6IYqKpXuLitSbOK38gkvOCHmQl/k7x79wXKUJaD6feg80QP4pdjG8X/bChQsLlOYvUspn1AMCuS7UEulU1TiUt9NpT7WyzokqoJtUcgmU6GgBUeXCH9XgWFlFMkpsZGIiFr04AmFlFF2+RR6XZfkqpXyPsR1VZBtjrs+AUzpL+ugoK1cV4qZOrypyi/fh/tlZdab1r5rIFQPukBZ2SFZWJ0tRMj098y5kkrX6OGLcYRNjcCeEU3Vfwz3OuLifd/MLx44da5bVb3F8Jz2tAfJJe2qTx124cGGOEPIi5fQwydRDBcmL4FsmMILfGRMyoVEFojPW6rXbHe+tK977LQNQ8AAbsXRXvGLqbrqOCvBCD10ECm6aPLoyusVAaJinBdfuN6oqPn6TXS0PzzK2KoCRB/JHFetNqdamXh+X1V9p0Pe3+5p3QsrRgBs4IpAWpFuQEuATdsYw8lgfV6humDkY0uXlexN1K2OtO9PdPS7vCmIWqWgW2fd2JZGrAjtLGRMfnBFn3qHP0i0n05qo8Z/jgxogf8SD/9FHH02trKx8gY/4ScFYTjmngjEB30F6C1UzdnIGejljnV633Tlpo1N0Wz0gRgzWEz2i7Sm5JQZmpzakJBQcYqcaE0s0Gvj8HcFxCXCPCtvcwGSt7KEQYq/n7HQdNT77VFDd1mQPvHrT/Hbf1QbBXDxCcO3MtHH8VvZxBiJnDHJ822uTUhJyemIwX11dlsx8gs+w19t7yRyXklRIlkWLiNzxQRqXLCdlWUAE1qhD8kvHn20WFU0wBps+pAHyTXdZ+oSLFy+Cx+n4cDh8npCsF7HsKtptiwtQnBDSauW9PG+fChHTk1T0s5+A3cqkVD4j9xcPxcAcAHaKkSuqngD2esCOwxS3PhgSyEuxN1lCnc4yIfvdVDRMjVFw1flhmljPTzL7hIXK2znp9ZTPHM43S/Ll34qOW2YOwwbyikylUv8Re6Zm3yyJf1wmc1nBB7ar34ahM6ZWiHLu4s9xXi7YZ1h7IcoVSssLzz///GRThHGtbfbLHmiAfJs3AiynP3369KFu3v1CScn+eLkz3MU5IWWhAlTkb5TXAtUPDwJ+KFqtVq/T6Sogd1ipfya1k2RaW3d+Eu512QiIaxcHOc9fQLr9dtn2VtQZ5lMPrm+zw5Jl9GEpxF6T2tdlHAk1iYCmT6KxmMZg0MeyFm57yjDUXMx2qocY8jD0EEeuQLWOpSt07/fXJTMvimp23u1Ov53n+RAwu0wsDjLALN2daqm//IZ7X8aclzIxl/wdPw85ASMhBL3Z7WYXT506BW+Iaz7b7IEGyLfRgW+99da0EOI5IdhxiExRN3UcUuhX4ai5ufHxNz623W5PT3V6p/zVmygPuQaQiEUH6JAKX7TnJJfyG8ORYtkKCH02XQ3WqomBziMnAel86lsdjlaerYx4OWOYrY+zvuSBnZXqOqrQFxuBhEgdArxCTm0Y9Tf+O9DvteVLrwKdoCO67a58T6kj32oFMDBzyc51fSGYm6Kr5JapqT0/YMy+NU+DtHo5hfHz4OblJCNAU+QDAMvaag2A4zGcsyLvkHfOnDlzY4LLbQ6p6YEGyLdwe0AC/AsXLswTQiAnyr5xRahIFSHqIlYs/qM5adZuTXc6U6ftA28xImbjvlwSp7bdXO6V2NmJ1JMKGcUBvAdQtqkBmFcAfOXrdsZ0MsuzFc5LGRk0ySeltuDzDKM3QI+/FV5j7VsZK2cQNKJPSrdTx4UGAE8kdPGQKAvkFTv7YIQUBYd0BfZSJKgHKQOwBLO4CAqHGxshaNHt9n5oCnDgXCqQxsy7IuGWClM0HwhbBIc+E/I7YQyEIHfX1x9cOHfunMyd3nw23wMNkG+yzy5evLinKIrnSEmOCib0mmZ5e1u9pIphw1EeYU/kg8bNabenplut9plaIEcgEDJfjyfHOOrWcU7yggiPnAZMPQXW0OjaCJcgNW8d6E0wRozRFU7EjBcRkmLAqbJqyHbqcPtmJgToIbindW7ZKVEGQ2cEJrhQDeJQTG9PF5bY20RZ0K6iKKoXCGFnqO6b9fVVKbeYD6X5/Xa7DQuDEn74XG8slFyIgBzLKLBHKumSnWsDYL7hJC2zY9kFUgRwzi6/8MLpDyfsheYw1AMNkE94O7z22mv5U089tTAcDp+jNJfxyuEHIlMMpFeCdoU+rsryPaJ5nnc7ne5JQkjHfwlD5OH0XY1VoI1CDxXOeqIMWgtTEZ3i0/JExIq6CifbuB6aNOZ9wuGIDpNAzkU1Ix/HjjHGJtivvbBxUknFBWDwDw9RRcZRLuESfgz48BsiVpSC4mSUYlhIuUVutdKKKt8ycbNdauZ9sr7uFgu1Wp0red6WQeeYkBhwhu0WoOF+deTfi2QJ9XHlLI39RCHpyfPWvT17Om8vLCw07HwTD0MD5BN01pUrV/YOBoNnCSFH4FWHkUcebVDunzh7nANqjORpVDeLhQysc0qzbrvVI6w1nWW0RwXrCSogHR0CTo0+VdkQU+COMiqG2BWxaUQkowU+Y5yjVfHij2JFpxk+lmcPeFGOlbmSw10lbYTkWeGh6/RJI17G3GPp6pmUTWZnZuTKTVhmv7joABdAuttT79Fwqzi5llbanj6OARzLMHDusCgIaOXwoTRb6eSti4ZtmygUcMDDbzeb1GxcR7ZYB76+zipHp8fUAdYL0NV9YyDt6UjwDsuunG7Y+QTopA5pgLymq8CB+cYbb8y3Wq0zQjDJ9ixnVq/Fql2lmcyEheqLZBaD6zrgvOqBUM9uq5vneY9BfhFGpxljHc4JlQCMIgoVSKQ1dWUFqhyVie1jpBLPrekZjqQVcUYosiIT37/2wG0B+earqz+jTvOWfT4+nzlEpBw8uJ+wHDRwBdZrDx+uPXj4QOaTAXDOc3B0OumtMdQAACAASURBVNotZ1ickLztHKDK9iDHJ3qDEJQJ56ysLMIr4Xin03uTsaxvIw812y7LgmZZrl9CUVjMAJYNESiSbYdOfsRRQoPgniML7clHZTQq7nW72dvPPvtss5BozD3aAHlFB129enVmfX39eFGQo3lOWuEUMA6twovr46BxL5rFvkrLCZFmabNrDub9ySB0r+V5TuFpnYbVoJTSacLFNKU0t2sPqxJg1ejjBnMs4OuXMHiCjHnzjh+botqmQww9XPN0lzjP+lYxlTHygHOyNUa+1Uq3c17dLIAQ8dTTB3in1cmkPKLBtxTl8r1791eEKI4zSJppolM0KQd9HGC7nefubUEockUxcyWbYWfuysqiyPP25Yy0ljxghusLJo02xDDh6MxJTgpSEPjGkossRhsD+JZAnuVCbvOq0MCu9XfdvQNCire/+MUv3t9Od3/Wz22APDHC8Dbv8+fPv8xY6whMOEHbc8CNREF9rqcfWkcPTB1BT9QHIQePKgtmQ3itZ614blvpRbfoBw2MABNMYGPAWPthTggVhM3SnO4rSzpLKdnL9CxMyd3jNXL/CHfOWB3cAlUgrFQxdc9qbP6x23VAji4ReijL6Cql2XKLseX2VPvh3uk9P2kBV76KkxFRlMsPVlcuFAV/kXAxZ/OPm3dzFmo2poBc21KJ24zAKlD5CXKycELE2trqpSzLFwGkHUfWoGxuYO9mVsBsAJmUhVy1LOmGXskJcgus6JSyS4VBMF2AeLl6YExdqE4h2PUvfvE0pMmNbsnN3y2fvTMaIA/GFFZobmyUpzkv97czuj+C15ol9eHt4bN473atvZOsqUicko49x7MBMD15wRg8mG4aDEXJ5UYZnRGCzRIiZinN9lFKul5iLCnNKG0mpZsnn6JK5q1K+LQdndCZNGPLouQ6g9TOf1BZztYoJcuMkeVeu7NU6lzg0PJWK5/pdLpfxfHfAMYFF7dXlpYfDMvyizZWPMjUIqNWID+53l7wgrTzVJpbjeicbPSHG294PVaUMjE5BnX0h3do6n5MUp2K2x/fo6ZgJ1+qhXRGsxdCPJiZ6b197NixjZ0/wo+3hQ2Qo/4+f/78vlzkp0Uu8tFIJmLaywSf4pRSBiKi/YbolPFyB74xA/nbLRySLEYfWUHKy5LSLBMCf9fdJjkhywRW5ulPUThAtyxIP1glpZ08z2YB3BkRs4KyGYiTj4A8QcH9IBZ1gH9YAOTeAYmFQtu493c+kNONPGNLNGdLbZYvkZyO5OUWI0Lylnfl7Xb+dKvVfsE4KVUsOCEbg+HS2tr6LKTQdA5O5OxkhPT7Q/siZhhDiCvvyigWw8b919AxxpY2NjYu4AaE4ExLA+xI7tMx5akhK4qS5nkm4Bv2S6nFLu3XS//tVNUvwZ8VmDBGx9JLoPmkc/nFF0//eBu3y2fu1AbI9ZBevHjxcFmyI0WxQQk8Yq0WJPqhnBf7zarNutH3ObGZZsIUVP2WRkAvCpLPFPpdVW6okrvpqy43sYqUc9ZnJV+B9gOA57lyUqXA3IOPlhWIKDh2M8JmS0JmhRCzhNCecqI6pu61ufK9ngEbn0Bu2eoTBuxWCLJjGDnNaB/alOdskbFsqc1Y32QvAWAUWSbg/sqEECV1LxOB64eQ05xlp6UMYvKKM0bW1/tkfXUV6d8mcNHp6ADkANxwngR1yMWCdHIL6FonF7y8tTEcXE31u2kn7IPf9hgsf9QMmDlfgXNgBHBceaIMaQykFcgEkQYBCZh5Tjqd7MPf+Z3fef/b3/52I7U0USsEvPXZ2+ffPjFiBNLORh8xHOas095Pdc6JzTs9J9O+TcVKZ3QGQOVn0R4hYxD07ECd44UzjrIsW4LZBAC4AXID4rCNFoWkggbEtc0i0njBp+XtIXJHQdokz+BV7bOc8zlC6D4qRO7YN4pwiUL2kEYePHKPMvzwiQM5gxzedIlkbLHVyhYppbXTfyw/mIUx0ndCKW3nnRfydjaPsxkqaaUgy4sQKuinqZXEQLEDwqXDU60RgPBFiGwx+6M4csIg/PBiWRZ31MxA3gC1tpSWBRVZLuDb07MVW0BOIVdMaBBs2q0Kg4AdqsaIwDnQP5QSahYZjUbl0pe//MI7zftCd3H4Iby04e7du2eEyA4SQtcOHZq7vNkBfe2117pTU/tOT+VZ1+CYuf0A8AQAHy0oK1mnoD7bSzo48SNQoW9LnNbJhFJJhVwRCbpd8Ygpxs/LLOsucs45ADc8jmmQtoitj0g/vFVGwIA9pWTPcFjMZRmb5QWfoxmbti/LGOPQjLI3SuSpxY+xO2nGlkQJRuYxfRgZUcqWMsIWWzlbzDKyakgjJG0d1wo7PoB/lNBcEGEwNM+7X6OU7sfL6012Q0h4tbq+bhdzGQDHi1hhkQ+EIMIr4ML9UKa0tUySmHI4HP0H+DWuvbAf++1lq0kuCMh2gTRUVRaAf57lAu5AeK6EQAZhggaYWYGZzUh/AGUbIhfvnD17dnWCIj6zh4y94Xbild+5cwdA5B9QCqxFTT9pRq8fOnTwX0zaXtDDKe2cyHiZeTcWLWguclFQoyu3SC5AXBFTYV4Vj0khHVspe+GtH7uAqnDfOxs58eXxLouoXUlHaasUYrREabuAB0QhuCm9RQhQ9Ihp+z2FgdvIMWDMoBx5Oj4cly23j0gmsrwoySwBYOflnBB8lnPSRmoKKgFp59sEcFPopw3kgopSMW56H+SSVoutSAIaqL9S+rUD2NJhd8q/kbo33SIZQ2hzkmWtb8DCLzjesnKUM0WCcVGQ5eVVm7xMlq21dCmv9GD5vpZeFJqrQ/Q/UG4pxPujjbXrBhjhNq+Se6rBWWc59GQidJPWPZDadyNnj2D8jL8g4TcIi5EzAvmI5YRxXhakePfLX/5y7RumJ8WG3XjcrgTyjz66/fcZoc/hKSbctFmL/vbBgwdvjRuIt99+++lio5gvrDaJWWr12Zzzbp6LfZD8Co5KpkoJfaAJZcXJMyq0UZZlU36GgF/9UMCRnNFSiGJZvQF9zLTYzDLQbMNIKnL2IYEbc0XAaIPi9WVbQEXSjcizHoA6L+gcpWRWL6GnVSs9x41b3X5KxZIQ9JExclCvsowtZYze55QvdjpTy0Ux8iQrYKM4a7fSdFuBA1PdWykgx5hvri3PWyTPWz9LqcjUsn7AKpf4yjg+VUraPlldWXchhRq4gbVLNo7jzBHQq2SPkPa3/AsyGkmGDB8YYTk7yIkoCrNYsP7+M+02R4V6v8c8ggEEhi3T3uqPJEYVTtDk2CNDAPtHgn300kvPf0ApnWiGsZ37baedu+uA/ObNmwfKkv669zYU7Yinmfj9w4cPv13VySDHvPPGO0dG+Wh/UYyf/ppyDLbBDd9u03ZRgBNwlMF7CeEYA+zq+OR7gKImJZf76I0e9iethcqDwVi7Twh9AEyqHuTULEPOPLQDVM44jJbuOdsmM2pGeoJ6pQEwSDAixBoFs00bGMYYK4qRYuwlnRNUOlNVrNw2mfn2gZwLmtFlQuj9ViuHlIDLGRdcNT30GyjncehINiYQdYWeCDlRAgDS+C/gOO+32tDKWf4zarGPCvWXceF65mnyjcM+iEhZXl5GS/QVK4fl/LAiNLerQuXZNrsAYWRlOBz+AFbom/vGl02wjDL+OcEyHth93GNgGMaBnqnbEBwwCuCTyoTyGYw73xgEODbj4v4LX37hCqX2hVzjTv9M7B/bSTvtKq9fv/kyI/Tv4tdYmSlkl+XfOTB/wL6mCrcdnJrnz58/kfFsb6iHhw+gdyfCH+Dvg2WSuRBgAMqyZK0W2Uc57RhnpIlO2URUom2eSXMbG4Xq3qeUPRSCrMmHRssf/gME4JqElomHFMMX9hl40o0R4jfJ3E0jBIR3ArAXfK4kdI5wsg8CfCZupD5w00DOCBi/lZxm90gm7jMG0SW8HDerMY7jVM+asXDOCXMVRusaAYm3BsDsNX0rfRut7ChjrRddDhVOcqYW+HiauZRXOFkEIEfOTnUPqaX6wMrRCn4J8pSSW2QkLg3FMGk6vTUM6P6pkoak7cFqErIM6loVyagjTqnnDxsAf4YQ3xlR/XnrIaXF5bNnz070brvN3ms78fhdB+Tvv3/jP6KUviJvXpM3Qn9nLfpbhw8fjnQycV603szePDkY8Cn8sHnOwFabkNHQAjaBJdCSsLRJUYxonrcEfAeD2Gu36R7OORuXV8U7D6aQZkppwrpMpMqYBUfg0C1L9jAXYmjbrx8U0PKdwXEav6rbE86je9E8TMYJ5TvjKFVl4zInY+5QkQGqsA6zDxPeUlplMcM5mRNCgFQC4C714toPo4uEi/11x9BMPKSU3APWnef5PUohJtmXjDDTDoHWRvzoC8H9L8uxvggH3CnDgGcz2DDQNogCrW8KSqecoq2iTwyj9l4awblKpIXDC4HF6xWejpEzwgS5X5LiXUr5AzMrANnDSSjqakO5J5aLRlImSuVewed7vv5AbkotAkL470Wcq3IozYlQOvqYj7nHsoz3V1dXL73yyiufi8VDYztmXMc97v3vvXfjlxgRz9sFEcgJdPTo4f82jFy5fv169/79+yfJkLQkNsM/8BJaYCsSABVI498GsDGYRSF70iLAFFB+pklBpjkDQN/Mp0I3SRSREzoacrEqhBgawMaHmdkC3oaZjm6u3G2vBeRcKTGNSOjgneQqMARi6AJjoMpzBsCVr5zHzj9RXZNpPytpZyjKOSYA3PkcFxRWpvrOhASQC0rWGCP34D9IjyqEkxKgVisJEScHmUilKOQHd5rnPK5uP2baJvQz7H8D9EJw4K5fYyw7iAkKODWBWctwQr30HjHz/v37i/cpZYcIiECatUM0hwRxRlYZy2/RcnSbl3zDOrx1+/HaAizxeL5szybpLh+B/cuTaxMMmHtWAaG6NAKJ2HnvXraojvwN2gGqcrZUO49x/SVlRbebXf7CF77wcJL7eTcfs/uA/OoHv0YIPWReLmteaQUIurK68N+dPUvtdApeAtHv949xXr0MbTRyLFti+9AJh46TS3Hc7TS/5cjrON2yYCNCermMbvGz/kjQ0ItA8I3ma4Fx6lsh4JYXwzxvrQ31K9ArZgayJVgKMX+b59AwdSwTKePlJKO6G3msSGONAsi8QoRy1CQPybj2G4ND2226vr42wwSbE0w6OOdEyUeckClK2b0WJXdFRu8xxuz7IHH78QzBRuvI2UZdC8ZfgTEMYAyMoYicyP40UBbKOc+EoK8wRveZKCzYLmPHAZQ1kINWbu93yL0ixP21tQd/Dn1NGe2UtLWHEJ6Lgh+emupsDMviR8Zsh5p+aqEY9gWF9491gifar+4jNVsLyYO9L2HBGRgAuSHtM0jNBlzMuS5ZbnAUIkxDIduihwrKE5ng+Vp+9ewrZxfHj+DuPWLXAfnVdz/4bxgT4JKXvY51w243/9+efvrp92E7hBcyNnVkY2OdtVotAYANkCtaLUGpAm8g5hKKDWKbcbQb9NJmLbGY3VAWlIn/lven3SZaQgynYG0HbAbKro4Ng8vDMEW4Hl6ORmLYpqw/FGKIHZnYqQQPr7eGR/+hnjN1QUaXTLF12Zq0XGQfxjhi0clP6vxY/6yqywMGJE2ofkMh7TJyQs0SUk7GqkcNHKkQQ4/rkaGY0E6hV7faGYIZj8nlIa9cDVoWsE3Ip3Febrr9oscL8jNOBzehhArIQfBWL1lWDlCblrYUV9b6K9dC+WY4HL00u3fvysraqnzbjmHb0M14xpG6fxTQ4rlo3ON4gZkEziAFhMfo4QA8m4nG1ZAJNUa4PGxW5W9jDJAhUMcrh2ponJzenwu2wT948Sde/Mwu699VQH779u3e2sPBfyVHW9/QhpmrhyC7dfz4/L/44z9+szc1JRZYUVCe54KxgtpJtcFmWYj3RxVGEAzcdDSi0hgAk/cpOw4C0GWpA4SQYQetdpvSwYBnAOyQAQCe0SzL+HA4gvhdwK+iKMBtqj62eGxoknX6On6VVISBWz0YwZqgCDudQcCgXTcrwJ2YMjwYI9RsIOl7qBwLr/wQb7AMoA2Ck3HqQbuKSWICKqN+vHUG9YA37iJsWRDGSLO/zgidwWlrTb5wAG75bk4dBA5fICFuDDZe41zIXN1Ydx+Nyp+Ym5u5vrb84I4nFeEx924A308Qthuzeev01msMPDZhHN6VwO2XjNcuTNL/8mzvpnLlhesgsHFxZbdunDv3wsfjxmU37t9VQH7p0gfzGS3/M7PwwXvziXZ4CkpXRqPhjbW1jRv9/mDVOCwnGRyMlwD+Oc8FkHZpCDzU1vqL0dw9xq4cpOEHGwA4As8S7BmefB+i9/grMAZHzj50WdZceQbA+nGxudAVOAevYjn1QOtBmfeH337sMMaGpqqOmI0F/toEYa+TiXDTcNRS2H4jf4+PuJjMeWywB6Aa+yFinwHE2fNvUAHvKVavZTMOTw45vuElEnobhNaNytEbo1FxB7cf6oCVa6NR8bOzszPfX19f0dpwCqjr2w9GxgslNKFRWH8xxmCCBWfYAEDNeJaQdj+ELKP+/sezBBX9Eyxk0xt41r351a9+4fb4p2l3HbGrgPzKlfefF6L8pTiG3OSe0O8pVNRFDAb9P71/fzm5QAiLJiC1CGEklzZpCSFGwJr1Nwq3TQCfP+B2FhDMBuTMAFiMR7PhXAPjaQMQ3k4GrOWMwJxtDIBEbWQNrFMXR2GFiA43vJKKPPnJzDxAhkrarVB2whE+KkzTyCwGuKF52JEMfxvGG2OBknGIlonMjDwE60nkIQNIElT1Aw6zIn+WodqsDIvf/tQj7RkaBBoYsI3D13cmV7N4Ifh+wslfgTf7+fHiLjUtIXyRD/mFknL93rc4QoZS9q1Oh/5hv+9md+E14Pbb5fJ6QZiNfrJO6UrTFxOWcNEZkqHMSmEvPDOK9EmzdrPVMG/jj/DuHzzAoeGRBairprS4/fLLL49dOLiboHyXAfl750TJ/7Zh5MaTbxxA0PE4WxwhYvnWrU/+rQ5QkZgpAbrlFtCMRjikaTyYYhiUR+sNI20M4E/4rW6CGDQ3c3Ngo+AZAAnQCMVtoePbb2YGoUGwwTxes/0In9TsBhsB4yMwDuRQBfLsSmX7TQNcRFEi7NNeMeaa3ozeHGE3YplIzTI2Ndsw5YXUXhoa09bNxUw7aFEYo5Od5eVwdJKy7AhjdC+HVOuUlpyI25SKj8pSjHXaTU31/vbGxvofpExG2tBEnVV5m4YSCPxt2DDIOPJvmyZisvQQVZUlZZyo/5N3QGX7TZlZxj/58pe/fHMzz+NOPnZXAfnFt94Fh9BfM2ANS72TSfONI5QwcW/xk+8MBgJkbQGgbb7rBiXl+zQgZDDUGgRpHBRwK1Y7PtYVY6Vph6nTOGJboiXSBmE8WIfXBtIQ58pXIL/lzEDXGBUXMu10TxmDYPZW+w5CgxZWGF8PNjaVZ6eaaS2r3+ZQ1oG/U5qsBdYUWJvZgfx2C1wUq69da+BkXc/vp2ccgYEwYZnIadzas6d3ZnV1/Qq+qrr275mb/bmlpeXvGhXEhYGaWRKO0BkPT1F3IId0LBdhR3K19p4yCNIHobV3W244ZZtg4Rn2F8DVYYOAo4haLfLjF1988aPxPbDzj9hVQP7OO+/+UyrIEROxAozcvNbKZIeDLjcOI/h9797i7w0Gcu0MmZ7Op/buPXiYjAYrn9xfut8hhICnCL7VP+ozGEBOaA0hg6HcFxoBI0XUGgRP8kC+UMviqwzLZGCNGS+APoA/tAfOVgbByETqt8+ox9dhZgSqT5XPQLKv5EQDI6uBX9Ma32eAZwOh49iIQGoW1SYqb0gI53G5qUgiOA3KN5JR7IsIB8iUq+pTBiAN1MDmaTFyKYERMlkHKRQTzAic/0RFFY0LJy0o2Tc3Nzf3cHHpg6SWrDdiWejA7FM//eN79/4Eqq+LIgoNg2kufIMRgLEGzV2x7M1HEoUqd+gD9f0GSOxJd2DloxbOCgx4w0WoRGB4lbPvfRFiePfcuXM3dj5U17dw1wD5W29deZ4R8Uvycsz7B2XOZQUSJv7Wc4ASRh6uLf3+xsbGYGZm/4G909M/A0vS4Ji1tbX/cP/+j6Op1WjEELt22nGqG7EhMK/5Dg2AshSO408yK4hmBNgGJNQOCeI69NHNCDanvZvrC2cEeGagfsMDjY3A5g2CmxVADDWKKrKAjYF6fPleVBEKLfWiSD0LUd1+IwsZQw3feIYQykWei0Pif9p3YPp3nKQT+g8HA7Jw+PBcuXRnSYXOGZ8BMjTGIMDuOhlKnh5EA3oStQXsyfwEqWfCa38ilTKeHajz652uYR0p566J/pHX7yXCq/ZH4HKLgtz5iZ/Y3TLLrgByeKP92trwH1FBDrgFQCrGVuaTkJG2auVbmPZz6cGD/2s4XF1/6qmFn2m3W4cN4AteXr1x68b3gW6PRkPaarUF/k7y18pnNIR0KHMyIwBtl+BvLIG5w7zpgr7ltWyzVZkoXMdk5CIF/psDfmxscF+ZUswMwclDEuX01U1eF67HhJGakNJIJvKe+uS0IUlrsCyUDi0N/RHj258af+/qQwe1v+jU+leKfnbs0FP7Hi4+XIXsi9oZ62v8KZnFCwW3kZeuBRL8Idlaq14Wwh1W5eCVxkVLTlVO6To+WdX+0AFuZgUq4mXzMlHKwWs0/ampqdtnz579pJ737ty9Ox7Iv//9i4dzxv8Bhfdnmn7UYVgGyE2ifJtcyL5BhZG791e/w3l/eGT+0C8QxmQOCzAGZcEv377x0Q9ANuG8JRgbUSupWL1FwiwWYILfbmBDYyC5xmhowwDDh9id2SFkOCCkjb4tqhuDwEU4U4jwvuMkIXkdpunw7V2PAlS8ohWzT7zdQC+GLQzHGJdxlI8yNEbOgTPGs+qUMZB96EUUERL7DnD5cT3h7AaOTjuRqwKI6g1CSibCcg70kYuICrtiEsPGDs702uv3HzyUOUNwdJG8B+wMzchQ2EKEI+iPBWbvoQ4u69L/YED1sxMEhsFG+0y2NiAsPxXAEkcpueiicbBqQFrKQ4HOoxy0CtqN/LSxwW/+9E9/9e64cnfi/h0N5EKI1vnzF/4LRsi0iVTBMeTDITDynBSck67O9BaEJm7cuXP/99pC5PvnD/2SSTgExwyLwfd//OP7P1KDYoWR2jFioxHlrZaw32xEzamx1h7SbCPCmyMjdJV109FQ5hhIKs5RZGEVlceXoeoJAdrgfDQRSNktebBr0STyUNiRSTaauEh/dmCAxzMftWOEo4jgQABRqEbNDNrEObvHO11xRbip3kKzqImpuVy6/aGur8bfT8xmjYJpgEHvCnkrFUUEp4R+AhxxZa+z0heh2p9yGoeDYQ2C/uGtHpUNwfpOfAOMi1DyTg/9EtLwqP53cpPS1CZNW10UGzdeeeWVsZFBOw3MdzSQX7x4sb2+WvzXhBGV1zTIdggADpnezMtmvdBDSNnJ+bt3F5e+3+22Z2dn9n0LpwIteHH+k0/uXsYDUgWLQzqUgN1ut4X5jZ2jnqfUMwppsJaXoo2C+S3boVm1/Bl5YrGxweW632ZWoB5cJxeFi4PwQ+wHeuhKPYxzMpEBBOzohd9wLdg8hX1qfQTIX2CMgSrTj/QJHclJGUdvxO2XZZrc7BojNhNemmLvxghAm0CKAh+C7ysYb2TqZgXqttYrjysv1PRo/cwGGwYvvDTsq+obIPDIq3qryk26HcyaA2vPsAVyc7tJdX3D2k1KCicZ6Qoksqs6XAK8yRzJ0VpfHS25f//e688++6yO099pkJ1uz44GcmjyX/zFD3+REXLWy61iwwsJvDxW5aHQPlCzHg5Wv633+/96bW3j4b5900enOlN/AyccgrSe95bu/BFf53zIhrTN24J0If/KUPcJCmOJtYnK0cX4K0FfssK2oHRI20IbguhsbEJwvXE1qYcKZCGQh2CfbwBSZqpKKvKNjpSF4kAbl5dGP59RbLit0r+OOp9BePWyJZXdHzPezcwQUnzZrqHSzD0OI60H0FoDoCOJnM/A+CPw2NTLN/hIMxvAdZqwUthWyFXIoXEZL22FdxqeGXjsPUpMZOqysJ58NrBhwUeask1Yr78oOnkHBqCdXm+AAx9xmgXf2+u/a8D0G0S6TE1l13fTe0B3PJBfuXJl78ry+j+jlO71E2WZt6HAqjf1klnEyMWoHP3pxtLD92Bw9j41+8Usy/+q2Z/LzEOQZJ+u8NHw2oP7Dy6vjgqb4yS8E8FM2DR6hBCwG329QdqQPiHGGAwZpe22EGAQJIOXhiF2hlZZgtSsAIyAMQbmO1aDUnWkZwSpKT2Wi6zGbhoJqOptrDY8eFZgTge5SGhnsnzsw/QBGAusr8D1EPgHWi0uzMwnNGYpc+VtQ/4DL4ooMUNQRkEZxaoxqmu/DQNFRNQ3NFswCoHsjUNNt7L4DIeVmmuM8hJ5tgX/UR+xFK4vgPLtyunRSMmG9TdA5FMJ71eoA8rB44QnANYomIvDljoycuqgMJqIsax86ql97506dQo/+lW3xBPfvuOBHF7P9sYbb32Rc/63AMzDl0nYyBX7fkK6VpbDP9vYGN00YDozM/VXGcteMLHmHjOHN62Myss3bn38fQPYmuAnB2c4ZLTd5hqg1UxAgRNsU6GLdR9bBxzkTpeGwdTrzwpSmnq1ZIPrNgbAwC4Fo9JxM4R08PxkZUM9AP6mPuM7kH+nJhXYieAC9VFzY4lobDQRAkuUYj7hoIZqnK8AjIJxHqfGyjYf2StvlqCbimWbSRaayfskFC9qZjbYX4DLH1dXCtQM8wVQxOko3PVvnrXbGcAQkufqhWbmIi1gpiJ8JpOIDGBDPTiayB/rsAOrn74wtDQl+mCcHw7J6Cd/8mvX1Ptwd/ZnLPA8yeZDLP/rr7/+FCFkKsuyNqX5y4y0ngNjbBb9GCBnhC7xsrxWDgZXHg5HZbvd32fQxAAAIABJREFUEcPhgML3nj3dv9nOW0e9ZFuMEMPMCSGLn3xy8187ZDVG2MGuAVfHsuOeMUCM2ToGaHOGMTDwtzMMoRGANjikx7MC77eeHUDdto0gE0HZWjKCb4eu1UCdmg2YNhtpCM6G33J7VBR26BpE34RhAOexXpAltXctGcG37W2LqGmfQWpGAOcaJzKEmZrfGFjlQ22e7GjuDzoxzApgwdUA/Vb6sWlbXf95IaaeoXNs1wGNWuo/0ewgzH8mB17HCSEibYzCZlYf4zvc+Aaga8xv2UabjmJMB04AJCo5HSFesjqL+ZEJnKBEdYh09OrTbRrrxBhX3ADr586dgxc6b/OtshM3d0sH7mggf/311/eXZXuPuTI2HFA61W3lOTvEOZnNc1h9W54ghH6vXOs/gOMk/Fn8myJZRqb39Hq/AO9lhf3wUlpv8ZD0otKVTz659/sOaAeyX2QxBijNBoSvEqTtgbj/FdQaho7ZesoQpKQbdSG6TB/TvXLlcytnAn3pjHV/x/eDN+PoO7nIyEOm/xgYACkLgZ47UE7eSCKCo+tBOozTAZ+BlYYAN4VurzEMtsjJQj7NFYZTbztT0A2IJwBVBgdDsnIYwxazxkAxQ+Xv8F5AgqQiCWeW6oU94IBFlavkIswUDfDAd3S27RaNStqWjVhd/qD4PqiyV+ZI034TQqqSx21+dXBYj5+cDkcUhX4DzJXH41roo/Ccx/KBMEY65SGRI5asxPgJyqy9vNMXDO1YIP/e9763F97ZyHlHMDagnU5HgtRgoEBWfabI3t7Uzzxc3/h/45HYAADKuq3e3yCUHbP6uUwN7hYPwXZBxeqPf3zrd8ffMqpOQiCkd4oYxq/AU7H/1DYwQJbjIwbt1xfCOex1BkGBtDIOdcagiq1bkR/JOdWzAQPp6OBE5xhfgTVmxuDoi/VnBDrqRxuHtP6SHoGUM9TOCuwpVTFH6QifsCbjI8BGwZsRDLTZSkYTjXNQqwgiBdIomqgKYyK2mHQHj110Zq7ROxv7C1AnYB3fJJUb50Suc9FiB6ldeYyS1k2ak8jAbIpAm3LdmgUs4+Az00DtOYxNtlL9DWfbtBSQniLP73z1qzs3xnxHAvnrr78+NRrlBxVgGvAMH70Nwlh36uDc3Nfu3F/+ng+xhKzxMtu3d8/fEpQcti+sNav7OVGJ+uF/4PQk4tbHd259F4N09KAPB5S3OwJAGb7NfvM3fAPuGsMTQ5IzAO66qg0DBn8J6dgAaDYdAahXqS/G+M7XtKYfGoEU+NsqglmCMmbGfzDeV5CCbHyNvvyUchiHMOWDaQjr2GEMMwED7+EswU++g+WbsMXxbARH5hj/MJwlW1Y3ycD+g4pZDjYAUJyZJeBW4QzGrsKqfvINXLjgLHJnB770dJPbhMjcRG7B2TjHsdd+ZNiwQxcIc5zrSCXBU+eP1/dTXBy2+QvOwtxE/pjnOb917tw5OfPfaZ8dB+RCiPxP//SHh/LRkEneO0XIBnoPtvkbvjnPnnr66acWbt788AIwdsXWp0inwwXnvNvKpn9ZBaioKBVQUSD2XL77UL//ELbxojx/Z3H5LQmruj7zbWYD0AbYBnW4usxwYpCGbYqxu2+8TZ0D5QJQSuPABhQbAKOrp/R1dwNB+apcA6B4lmBmBsYgmNlC5NDFLDpBrV3Z+pEZA9bYmWtlrjGGJzQARoqqcyAnZx7QRG3wQB7ivC2MTGSkqji8NOVMrn5MreNYy0EmpNSFloZLbEOTEiJ6vKYgtejMOpPj02usBOj5ILuo2QB8jEHw/ARB7jAv0yfWR+Tv2CKZqKLU6uPKq/d0I2MAfMB2qSjANzGM1huYa/JAuiIdv4F6x+JDI5A2Bpi1q9cuDj985ZVXECLtDEjfUUAOESqvv/76QUgZXtU9gwGjANTw3e2KQwsLx/e///5HXopPC69T3W9mVDxj37gCgA5sPFdMXIUgirW1tf7vr68vjWL5RhkFqGvccBnYlsbAQDgyCmkDgEsNSzD7jFFQf+OjpEGAmYAGMDAGAOBW8/ZCZGyvVBgaZRRUDQa0nVyEDYDxDfj+iFQPhQ3wpaE6x7G+JOcqSF0LmhVgg2N8Bkaa8sKDgmZi8QjLX7ZiXYeb0Si/QQxoUPB4x24USYT8A9IY6Mgi1czN+QrCEcArkc1iM2+dgdfciIPr4uL1BWFeIjjQc0ViZLX4GFB6fW3GiVwXUur1BGpm9XoD1YBx0hDurypXKl5wpvwitBgMVj549dVXd1Qky1iAGgdgj3L/n/zJn8xRSqcMWBPSk8UPBn3a6XThjT/2G9gxKzoHjp05PHPlyofXMZM2bRKim+c5/ZuMkKMGuAlkTLRvI6ef9PuD11ZXF9cMk0+Bti1bQ50EVI13hqnLOjUOxqCdklUcYIZ9GB6NGXso3XR4RwyA3XufsIS4rlAiwgxeS/Np/LPgGZqUtO/AGBuYeWA/gjE2trhK30EI6Qpuja9Au7dlxI4xDCnnsTfLMUXC9xYlopRHwxaLHeRB9BAsPHNRRHWO5PonC0cRwZEQWira2hEbnZoCUXNQbHzwqmM5fiZ6CKWoiD2xYU7oeqOGo4igDuNYlkYBZ/gMoxc9wyDRQV+Iu8a6NQDmqo1BS0fF+u7T0H9Qlu21r3/9pVuUUjvTeZQ4uJWydgyQf/e7352eptP7eLcrO4exvmwb511hftdfoAJ9Qtb1d08aAPlwdbtn2u3sWUrFLLxnPaf57UKMrhXFxm0PiDUYG0lHFuSTVLkJzwrSjF2d5HFsw86hAMTUQ/C3jxeSiYxkVCfVhH0joRvVCWCPQT82AClgrugAXVnoH1DjpfwHUjrSf5vf8fiF8pM5InYmew5jFJ2UlJ8i6yDvArusC0s5teGkaCGYN8uB4hKRRCAFmStIRSzV3b84QMm01kZM6dBS3FYcVRQ7jsdHE5kwUhxFBPX6kUQd0hZCpaXYwuzAS0NhktJBJUmHayqSSD5t0cKEqvUFcLS3vjSVbt4bhBj8w7dcGY0/nK/wFr/39a9//X7dmD7OfTsCyCGnyp07a/uzTAGvYuIGkMO/zT4D3H53eQag36dgGOQ2XZyY6jxH6UAny0p1tTIAANCmHW6GYEBczQ6SPNtJ13W+U6/isPy6G8CDvtAgwG2vAdTo+FjPV79BJsLWKbZUEZ9HfgrpM0CzgMlnBHWOa3fFoQGwQI1D++3h6ZmOYv4wfmq/Am5lYLxZAcJjT1ZJALVrodN41CxALQRzoZ9DGs0IAoOAw1a965OArWS82E+gwkvHLToLQ2axn0Jef7C2wKxCdtcXBj36QJqOn3G82EQTWZ9Bcq1BfSRRNCPAeYnQ7CBtW6raHzuuUxlLYaaAX3vopSeQA+N8q1mW3Tx37hwGqseJ3V5dTxzIv/Od72T79h050G63bJZaaOE0IWQNfcM2APputyvW1tTvsuwKB/5VfYiNQo/0et0vrK8vXnHGokeYBnxTQr/fp70eIevrhMC3/MBwhbYjtc02IzY4ZoYAhwDEcC0XhQ5WI9vU3RWbAX9TjmdjghlCWFcoDzkjAEdiZ665Gr+EFMQakDbgXx3hY8qsNzimRjwzMJFFkTwUSShJr0alnwDqwo5jU+d4nwTul3hWoIxLtQ8mFUlkwLl6HUMqgiihIemmJQNfgygpYwQklkl5iNI2F55MlPYb+CYiFEJgr40oqpWH4Mh6I5N6XsJwUiD40nEczBDic+v9E0oKYsU3vnHuxk5Y+fnEgRx08Var1d7Y2KBT5ZTYyDbo1NSUnaLK7VNTAr7l441+q84PIR//Da93IwSA32w9Nr//zOLK4ntgJfp6BtAtuwJ+m29/UDEgO9nGP2adsD6jvMuF+lbykHz4WZ9iecgzDnVIbfeFBmFdSjsYnHF0D9bz5TGYtWMM1gWkZCIlF6kIIPVJ6EvGLRpE+UgjhA6XBgEzeBtdpBvnlZ+YHSCDYzm9rsPOPnT542cH1dcSGgM3fumIonjo6vwgsRPZnI9DLjej46vzu9o3YGYFbnZgonOqVyeghXNh5FLCiYwXnY2bFeC+SYbNah3JXy1tchQZZzKUEgJ33Os4igjnI4LtxnHsyUeRgxfKrI5cqspLZFvSIRtf//rXn7he/kSB/Pz5873l5WIvHp49sI5zlRCi13Ouwm/406zvNPtWCQlBXz6mGvAt0GmjoLZPkyNHZudu3bq1pPYbeDdHw98Ve/QuaRS0cTCzAZglwFnA5ONbzWwJqX2azpvZAXzDmaHPwM4MKmcDKcOjJCH5aCCnMRv0aRhHFQKx9CHAiQnfLJ4VmKuMncVpIyCLRKTY80vohV8mikg+ap7PIJSH5Mh7folI8Q+c03BddobgLTYLdftQEkqFlrpRtwYBhZfC3rSfIGxlqqNV/U5ycU5jKNOkg4BjbPQovgk9Iu4Hh/oOY1WCC8/072Ss4SdDWG0D1Hn/f3vf/mTXcZx3zn3t3n0BWGBBEoQFGhJBFyFaEgFZpkQmkCVHoRy7HJdJJ1WpJJVyKlWu/A8k/4RUXFF+SeXhSsVFJJXEUck2nYhw2Qr9IGyaFCA+RJAiQbyWi8cudhe7e889Sc9Mn+np6Zkz97ELEMQtFPbeOfM6c8/9erq/7p5QtLF1KZU1BKdvHn2sfmSW7tCksQ4002PSVBTVExlI/uN72kMLnqVUCYHKk0gmjZvN3rXbbS+/bUD+8ssvtzY3O/MA0OvrzRzRu9st1Jdid+JwDV8W4RHvod1MNqOxfybLEPixhcJ/U5nWQcEA9fE9jkkFCRUMqA3ovwAmq0ZDoKoxGITgZTUDBH6n1FyG2tQ8BFqBel4rvgA+ueYha+cJawhoB0IzEQgA5AuoVpCiIfgcgXbJBKEAs0OTkWisIAKgIpYZtnOtgEJIyPWTE8nU2lMJBeZFpOeKcQBaGLgmIxyZuXwSjgDHRa4AalKQVsJn3XIVuseQGUc96bKUNFPBQDMacxBO3yALBhttbPkC6rVEXVirPEFeugtO8HIzkXadRMKXRiDHTDcK/0UfUDsedy114wvCJiP8Nh0PKRJnAAIA7hdiDXTdiQw4AysUdJl9hUnkAwf2fnQ7MyXeFiCHZFivvPLKHgj+qUCT7MLpD5m/B9BHsK9+dqSMCgXbNt65FQoV5lsNABQEBHuiDaDGAPNXmkHRLasyphm45iCuBVB4x/f+ClRiAU1FTBAAXwBFrgCQVtI31VC+gLagWgGYiCrQp9pAEk9ghREKAAR/EAagGVR8AfHBr+YSxzpH0FGhIN29CHUUqAXNQxIAbt8cqP2Rq30+I6hREABfAHVcV9KYAOBCx18kHnQmuVqGf2t0IWzflCyGtkAiO3xBhZ6k5xqs9YEac/v4s+MBZygIJL5gsOR0/iSDWgjLgwSaQb8/sfXkk8fO367kWrcFyF9++eWZZnNXF3bTGnj1CwCv2VzPvV212WnjjhvNL7jDrr7uZGHg2uGhPQoI+5fa5mcyEB6+kPAHFLUCnD9ajYjmUJmMYBIRc5GrDUh8gUQP48rIvAEVGyAAkDyuOIPJyVI2F8U0BJ/krXgC4kUEQkHBu+x8xH7BrheT1QY0X+CYixq3choJrJ8rHR3MzUYSiIXMRdTNNCYMeMxBZZbivIGXO4jb2C2QSmYivEesRd1LkSug0c5yWgi1Os4ySPdWxTFgmgpjNlIN6W5a/4pJtEX1y3Y0j1A+IoxylsxF3LsnBPFWKHDvIisckshdMZhOj+oHnyF+5cvHjx//WHqutrtsx4H81Vdfba+tre22N0b3w1iqDeLa1AGmFms4xzIUAHjFAm1lXldvcDdNTSj0PY4oldUtvhVCNysSVgOubw6i8+NzNTRANVyV7pELAKhB7onOTzIRUaI4TBiHNAT57mltMBkB0KMnEXyGV5wroP1SFPe39sgX4BhKQ5gKxBZENQMc0+UpqBeRBNQhbyIv9oAtlWQOov3je2nPy7mCqmtmJnLJaPVriZpoOKQqyCUpJ+g9uYnp+HPAOQS8LmgELD9RNB+RuGsPCTc9lvIYMhYYTEEBs5Eim514A483UE+tk6SO33UoUR0KMuy/2Wxevh0uiTsK5BCC/4d/+MruqaleU5lUDDBRm3S1gJIZow5Zqb2D1dU7bfCG0VoAesZQsKM7fb4D9rSAbZg/CgCfJ4AdOGd7/cWgc+RXqaZQEcps/SuOAMrZ+tNrcQ8iaOzzBKGvjuoK1ItI/bSCnkRcGHAUp9yBvoZaAbSszETwIR6WQAbiWghcQo1AcwYIzJxARtAErA0CNQk0k9bKktXhlBE02liNSeBd7diJFhDKJqrHpgSv4EkUqEG9iKAXNwhNMhPxWYZ/4KgV6O9P5ylSr8jO2e2NfjtWhPK4AvXcCdOgqZ59LUQ3gJ16t5v3vvzlL1+AoybDdzP+KzsK5C+/fGYmy65Mzmaz2Yq6F/1/llHHlZWsud7Mi+5U2WyuqfkVxVTZXF/LAcvUe1K+vr6WU48Wz9wy1Jox1xmDalwbsIBrBQMgIMyfzkPtlmEebDcteeSkzN8BXEIM461SM5EGETQLwSdqDqLSCFsTQpl4DtXO33RF508BX8GD4EqK5Tg6JZI1YQwvjCjQn2ip+mx4A+wD4w3CmkEs4Ax6CQSb0QAzE3VckcnQLMQ9V8+gHpeahuASJY7xuv7eNGJWUMo2wzGPIuwX/tblCwqZbqp4Bo+c1lG7VhigF1H1LbJfHSOPzVXqTkrNYZioztcMuDbABY47vuIcSLZSnpzOyU0ETb2gMwn8aYCZ1Qww4Ex9b0W29vjf2tmUtzsG5GBSWVlZ2RXGVQBzBHashWX0Gi2zvcVaA/CDAIDa+B6FQXg+g14JmYjo1hb65GYi7SMfal0w3sDhCaC7EC+QyBfgXcokMvIElmCWyeT4WkXJ5Lp5sutcGNiRYySyYxCqmtAYA9z9g5TAuAOuEfhxBineRK62wM1EYqBZ0qPnChuej0gDuXZhdfbCPK4gYSw/+Cy8SxfpWSqQCBa7QWfcjEJn7trxK7jmQW3UM9TTCLTg4ecZpJqkcEwvLUWAyJ2YmFjcSRPLjgA5eKmcOvXarqlis6k23ysastU+fDbLVlaybHYWIik14FKQnZqaKqE84XljVTj48x6qGRgBglqBLnfA32gD1HtFaQyCljCMrV2+Nxf+uL3b31nPVJwCgC0nXakAoGRyVW5kzCjzd80vHPxdqaO1BDQZcS1hxnMllYhuNWXCI1CNJ6S1xMoVdFQBZzL42+/K1RKgvBIMhDuggWf1z3DYzkPjC5yAM9QSDH8QdieV4wuoayv1+Inu0pmWIHEGnDTm3kSSlsAFTswUFUorLRO8siDg3wflRBDw5SCz0DdphVGzuVk88cQTF3fKi2UIgKx/HHkNOChibW3NbCH4jnol06YWDaDVVQLwAPT4AsCHzwC0APL4HgQACoOpYqpcM7twFApxgRDa8SPYU03Bn78WSUYArK9ps5D6W5TNZrPSBuAeuEaAgssRYAbXHFCt27lWK0TNQlwbMGhNvIXQ7IJ/obXSAtbXc6oNIMBVvVOzCydgB5y/JAC4FxHeHjcbcWO+q9nYGANszzWaGBkO18CLSvEp5p7kSGOwjfaNYLJWf12m4w3sy/UgcgSA4QXQe6jyIoKAMyM3cEfvmo3qvIhgFFcz4K6lTnI6rFrrWqr7pdlKMU8RljU2GiroDD2LKqjjVosgVyt5LEV4Ap6kOXCeAQ0Gs0LGnmeQkpNI0gyAFyCpJ1aeeuopE3w4OG4O0mLbgbwsy+Yrr7xSmVRgdw2gipOku20fbFMA1rWvU3u705oJBhQI8Fc9jjAvY34BIYBzGV4j4F8DNxNJJiKqJbjttWDQ2ooI/ujvjliNzZMFQN1joyHSmmDsZ/tAaw8jKYiKCgDkDDgfQLmEajYjzN8FXd+F1OUOYMTwYOOaf8iTCEb300/Q78QXAJQ74N5Eg+Uj4t89371bMw7PS1QlpENvIqMZVD3WehNxzyU3MZ0kAHA3LmUulSKQYS6uRqClRip3oGSO5KxjAr9ogjo9FqaV7mb79k1fPnr0KCZlrPuRDX1924Eczt5sNBrt5eUsm8uybNlMdQ4+wGdTDhfVe1Ned0eSQLCgyy3mIVs7jEIJV1crwDlUoE9qK42gmCqr1sxEhFoBFwhYjn3LgmK0+fO1QyFAy5WmchN234Y7IIJC1eOYNpQXEY7oMwDUi0jXsoIBtQIEvUo7MFqC4hRItK5tLaRy4IuRIBh884s2E1EegXoYoYnIFwz0ztyJeKYvEmOQsv58jtg7pqKwGgJckWIMZCJZ1Wb5iRR5bPIRqcAzYzoK/0YlQeBu87lAwL7QxbSeO+CEdfWLqs4vqPokAWeVYBCI5Dq3Unq/rhcR38nbmp1OsfnVr351cbtzl28rkH/ve+9MzM5eUiJ3dbWZT08XJfzVD4t9D58pyGu4n1OgvgzoXr3X9RzQ15edFxUIknBAIUD/0g6oQJiaKoyNvk47oD0YgaDAnb7Xdag2QPkBpakY/oB65qDJKPzDCV2R5qxmQHgBSQugZiLYZc9mVBjEtAIUDjj/UWzulhimUO2CPsYZuB4yWnPQAkEDsON+yQKzaFCWOZ1qvtfL5xqNvNNo9DtFUXQajUYfUnP3+43NVitbbzQa17Kb2TL0H1p9DvyUF5ADzLAnLW20rKLvXcHgEd9w+aaRwcz0Jc0xRBxTnkAyGem+ajyJiJkII44h3gBNQnHiGPqnPv/0s70TGmegAsvWtAEJxsF01iHOYM+e+3bPzU0/3m639vR62fKNG8s/uHZt2fSgx6NmohCJK4E/L9vY2Ljx9a9/HV3EBv8ZJ7TYNiAHn/FTp07NwRE9CfNwqiDoS+2sQFjNAcGtQKj2+o4AAKEwl805moCkBSh5ATIBhQIKCCooBKEBbah2oE1FsxkKgMHMRRpkJQ8cXAsUAo5AYJoCXOPmFxQS1GykHleRTI7OQNRiqGajW1N+wZq/RIFgtAGYDxcATnoExPDaB0ryAcJGvg9NUUw2m81bB1p5a3+m6fikV7/fL8qyvNrsNc+vbJbqCeI5fMT512gF3INI5hA0USxpClQAcNVK9CAygq1u/twU5hPwmLRuOkMBEM5WCqMJfIEpphlLqXspT19NhYP90mLupVPZ7t2zu+Z3z/5anoOghiMfs6zsZe/8+L0Pv88FQG0qa+9J8c8zAP7hqaeOXdlO3/KBQTbpCc+yDAjOjY3uRGv1Zo7HTu8ylvIbN7IM3vd6MyVczyJOianjpdTj2oAWAlog8BdqCJ45aNnoC8YUVIG/BPysUw74yBXUaQi2G9ezJuSH7/rlk9bG/EOFAL5H3OUagi+kLPgPzh/ENAScZ4QnIOYs7lKKpqBBCOLNzc3G1NTUgbIsPwM/6pRnKFLnalmW7xdFsYw8AQcxHpRVQNpmYibyonbrzEB111mMAbqOYvSx6zmEdxbhCVhqCRoH4ZDGKHB9Z6Rq+ZQQMPmJYryBu97ck4gGnsk1qQEJ4wv27t7/C52JiSMA4ADk5iCEtXfefet3fGEgB4LFzjOQzENlWa5vJ/G5LUAOh0UsLCwY1IFo/OuB5x8j9a9nq6utfHq6V+LfLNPXWq2bea+ny5WwntbgD8KBCwYUEOovVGaCY5gfqqQdAPhPT097ZiLUDqiA0IJA3spzMxGagajGAHN2zEOsK0kIUAFBtQPoywVfSTC4JKy7u3ZXkLuPohBQf5WEcF1KqZcR7SlOLMe0AzOIt/u3vIc/fy0o+v2N6cnJ7PN5nk8VBWgCoMXYv9AzlMELy/l76Xnq9/sfrq7m52xit5h2YBGPk8i6b9elFEq4HZ67lXITkhSE5uT3qflRhGzx0IxzA64HlNYYXO0AWrmCYtT5S0KARm3rNXPPM7h//4P/OG82phWAI5A3Gmtvv332P3EtgfMFGoP0olVmomBOIvWLqzyG9l7qLh19dnuIz20Bcjh/s9PptNXPbHa2XFlZGcM4FvQ1yINwoGUw2u4MQL5HwB6AH66AQIC/SgtQwkH/hTIAfnhR8K+ebyUxap72wOW5ubnpPXv2PJDn+XSr1Zrq9cp+s8xWN/ubNy9dunTh+vX+ln4wtJ0VNQa3O8MRmEL1iRHDlVkI6kh8gVAORZwwxjI6PhcKNgKA++Grb1tYCVvPs8ybAko3c48hFApQrn4WxhQ0uDaA81vJ2u32fVmWPVKWDYRqMm9TVJVApLUug//xk/prCmgsNpSVW+WNvJ2f6fV6m2DicqKPh3uUTCvJtRQuWfMrksiWM8C00MgZaFDDBHVoU8dpcZD3PImGJL1d0LeBZjAuTUlBMiWZKVng5yIxlKAudp7B1lZr4uCBhX+Gh7EjmOf98sL5ix/8T+pxpeemD7lBEtk9t8yLMa6+Xe+kg2nYkJVb3/zm9pzzOQaAdZ9MyDPe6/Wms2xPlmXgQrkn27Mny64Zb0osbbVW8l5v1oDsSo6Aj2XYBuqN9OyrxpJWQMu0QFhdvam0Aj2eFRYI/LaOFgIgAJSGAALBAH6jMdd+6KF9X2i320fyPF+IzL1fFMWFXq935oMPPnirKMKkmawVaPJYz8km6aJlqCEg8COJDG1smeEFzE6fCgUUGngPlWbAeIO1luuuSe8ZOQMQAC4Iw5yxjCYZi3kREaHAzETUNGQh2waaoTYwM1M+WBTFkX6/nzcaDbV+8J7OGcrdMoRwWouWUfCvYP1Wt+y+ulJkW1ansPOPkcfOKEaAQVkVaxAxWcjPWyzqGFpwAUF7mcnQa4jmKYIymAaAME1JIWUuxd4kn/2Ix2c1iUFSV9edZ7CwcGBhZmb618GgAuZxMJADqPf6W29dvnzh+ynz54LCO8+ALB8VAEYzAOJTSucyEsyNASQ9IJ/p9Xp8W0MqWYDXhRrs9V94wXv7jpaqmkYowF9oAmVcKIy0IrWNZaEAmsBPf/GnH+90Ol/Oc5WULflVluW1tbW1P/kVpN8JAAAgAElEQVThDz98D81FyY0HrEi9hzjoQ1eyVmAHqbQB5krqkcV0XgGSGKtI3EE4vkAytXDbu7wok5Nb+/J+/pjZYA+0cgj89K+CAQP6PvjDjr25srbW+Otmc51s2oefP4wXciWNpaDw8ulLd55gb9fNUoSCe1KXNbnoQDPqvoGaQcUX4NyM1w18jM5/QA1hbm7+c5OTk39H28YtmPez4v0LFz78Xl0KCvHuKXfA3UjZ/NebreLEiWNL43ZHHCuQQz6VXq/XvXo1y+bnsyy7mmXZvHLBy2e3Zkt4Dy/1eVbvxqnZJd0MQ4Gfwz4VFEYjUJiPAsMFfq4hoFCgvawY7SGkHezf/9Dk/Pzk061W69BA6MAqF0Vx+ty5cz/Y2Njo00ut1VbeU5oC5Q20yQi0CPgLAoBzBJVViFxzhhzSbBTTEKhXkeYRkEy2aE61AZwPNRehUJCuOXSDICBC5qI8z2cmJiaO5XnuHPI9yveV0rYsy6Wtra03MPIYNAdlPhop+CwmDOqv2aR19g6wFSWR8aoTjUwAf3jX0rAwiO++dTudVM9mMqXiJXoewEyWze/a/6VWu/UEeqsoqrORZc0831q+ef13bty4Ubtbjs0xdJ4B5QbW11srv/zLxzHFWspjVFtnbECu86mcnV5fX6l+KADmCtQtpqsPWIbADrOswL9myuMVAnb372oGutwVF9RMZN93u3u7CwvTv5HnOe2sduFDFba2+u++++7b3wWCt74Tkta94gwsd6BNRRrwkVPQHIImj+nuHz2IKIlMx0chAWX0ff0cwzW4SYiTyG5L3w+UBo/RgDMnqMw0y/P88X6/TxdslKkP1HZzM/9hUawtWg7BBp7R3EPYKUYbq8/GGsPzEfHYAh5oljZBymnwNBS8Bz83EbRGoURbY7AZtdjwrKVe0rpkjYDOi2zbCU+AdnaXqNUDLCzM/K1Go/mY3o1rEEc7eVlmH29tbf3FjRsff7B1bau/XecZbG5O9E+cOHZ1nHlYxgbkZ1480/nJzMokbMPn5uY8EFpebuVzcxqc4L3ersMLYR7ezZtSfm1e7fAB7FUL4b3SAPB11SgDKDRQKyBaANUIJE0Ay+w1XwuYm5trPfTQQ7/eaDQeSPvhpNXa2ur/zZkzH36/0g72WM1ltjdbgoaQ1hOtFfMewno+eewKABAK6GFkNQIQFiA0qBcR9FhpCeqDGWNILSDlfql7KdRH7aDfb93favWPpvSxHXXyPL/V6/X+vNVqKRNLOAkc9SKCmpLJKOyeiQIAcxNRchlJZJqnCOciEcfDkcqh+XOBIbvq0yA4mBvnEXiw2aDHREKfe/fe/0utRvMhBeLaNGb/KlBXAL+2un7jD65cWbuIRHLyeQbGlMKfI36ewczMzOoXvvAFmoRnpEdvCEDwx9O78VPT7XY7qb/l5eVcAnvsGa/DXyiDuvr9fAbCQAsCKPcFg66rr1sRoW08lYZgQF8SDCgonLs0JiIsQ3PQ5z//+SdbrdaXR/oGAo03Njb+x49+dOk9fZmaiDRPoEqRQCZkMpSDAKDCCQjk8ZDGOFkuFEKfXU8j1BCQHEZzESWO9fwteQyfgxpAFaBQ+w18rSwbk9TFEFqAW6ECDOZ9gm6Htb0OUKHf77/TbDY/pKYh7maquiOKBwI+BVr93hLF0AQ/w3t6nWsAerqYpE6/hxc3tVQCwOAtagOmudqF6/WbKqtdOeZPMqaj+NJw80/oM3eP1b1K5DEdj+YlwnliptL5+fuebeaNBQBwsF+2wFZe7cyNzbzRyPJ+een9D8/9N/k+0lxK+WEwWkOwqR6eeuopsJU7ZtQBHimnahLw1nX+4osvdg4cOGCPm17KsiUl/bJsaUn/hRd9X9dnynUqECThQAUCCg5XSDhGH2IA8jUCPR+L6I88srB7bm7un1S+aSkTHqBOURTXr7xz5T+utdeKsPsmJ4kl4jhCJlPi2AgG6mGEGoESDL3ZEonldC6j7oa55xCahTDugLqZ0jLdb+VGaoLKKEcA13XQWW9Xp9M5ZmdinQiLosibzawsikz9DprNZqnLmkpzxOtZkVXHvVAXRMcfkd4qUptO5Wy53+//pdYarEspzT0k5SOisQUwhDIb1ZDHfNXDZDLf8VMDCYVMqZ4bgSxa5oUMpjQ9BU+RQbUAGD2UQkN+quq5AWi3sPfAb+bNxiTsw/v9LGt1DJCb3TnazPOyLD548/1/SxPV6WfET7Vd95SHrq+v71r71rfGsysfGchhN/7SSy9NdToH8/bytXxrbqtcXm7nCOJwEwrHCagDoOOrAntWp25xHKGgpEZdi8GuU1MQtMTPKAgOHz78jXa7/cXBeh2s9q1bt7730UcfvQmtKDegemFaAq0zvN8+9yiCXl0XUis6LHks1QHzD4C/mpdgCqJawvDmIr6evmCYmJg4UpblTw228uona7zGsSX3IuflaodfCQbc/Ve1VMDRxA/yfD1IplESmb/n83dzFYUFA7STEtEF8xEZIRFPSqd3/j7Y2tQUslmI3oVsc+dJ6KAFBpfRuK+qdSBZnfR9T03tenBqqvv3NVg3sn6/l3VaHWMnd3fmUGVp6fJvY64kvz9//rSOdJ4BNQWBgJgqivLnvvFz18axKx8ZyPXJP92JLLti7mN/pt/rvwDqc3Nblc0cP7eX2zngL1wDk8zWlhUA8B7L4C+ANtSjAoLv8qWdf1AbGBH4AcyPHTv2LxqNBkYEDI4TKS362Tvvnn73f2n9wNUS5pWdyOcCVE3jNUQJZIdMvpplK23Xc4jusn1+QArskrQBGN33GtK36jqS7jFupo5LqQF9BHn8i9oA9FznQcSXtdlsfq3ZbA7kDpry1aTXsQKh1+u93Wg0zoumohG4A0kASG6mMGeevA6BnrqPOhHGJBUFrRvNSYSLs5xlGGOARfIuvJn7yelQKGgzkn1Ry78u1bt8NzkdT0wH9fbtm/n1Zm74LAXk/azTavl2chPtuXzp+r+5unlVmT626zyD2dlsbRwnCY0E5HY33hmgHwR6/lOg5a4wAKGwvHxNCQQrGKyggJ5gQw7aANalZVwAIMBzUw9qCigkoA/JHHTo0KH7Jicn/1H6j3m4mmVZ9t5+++1/Ba2tSUiTxvQzbs+x3PUTcrfulCiGfqmbKOUMcMdf502EmgL3JpKEQXwVYmYidAi6BuFllUgA4YCfnaAzYzICk1C73f6FPM8HeD6H+65SWhVF8eHycv4O9STC1BPABUNEMvRDU1DQCGQMOsOxxuU9RAGe3ocP+tymQ1xKaVwBWn8wAllJAJJqggSfSR5G0lqGUlGknGfQ7S40pybzX8yy5sPKHG5s4v1eP+t0OgrQG41W1mhVZKfapS8uXvzOzZt5zwoLP3MpHnBTnWdg0lKkksUTExP9l1566frzzz8/kq18pAccduPtpXbnaueqJhc350t8n/Jgj1YnJBCgV/caB3+oARrB1tyekmsSCPqoIczN7Snb7Wv51taeEk1HjzzyyJF2u/0ro80/rfXKysp3Lly4MJDPKecLZP7AehG5gkKTytZ2g4LA/WsFAhMU6kHwtQKuJVTAT5vTuAOT2oELhJgXkV1RLRSmpqaAt3kqbaW3v1ZZllfAp7x+pBh5rLkCHVugvYhoqgp0KwUBIMUYYLmTpwg6DMUa1E/Wq8HjDCTtoLnazAHPpdTWbkprNyUFDzxLOc+g3Z761UbW/IxyUEFyE2zkvV7W6rQyBeiTkDNNk51gesmbjbX333/n3+mb48klsAz+xk1EjhDg5xmYE86mpoq1r371q3iS9BArnmmSZ9jXq6++OrW01M47BsgRzC9lWYZlm5vzJb2OY83Pz5dXr2oBcGe8fMFAzUJUGDzyyJ7HYae3E/O+fn39dy5f/gDtVnbIEc1DKXMPkcmSdqDBH17a/ZR6FuF7d8yrGZiHeEyBoxXE4gsETyJ0KVU/r5WVfNeuXXNFUXyZh+Cn3Pt21On3+ze63e5fwtwqs9FYcxHx5HQhMhnuzrqRKtdRc8NUKwBwd4CfmH8qbUAyCQ1lJoIZoBuSnozPE1gNIP08A9A6p34rz/OWxnFtH4f3PWA7wbwy2dE78uo6jN740dLSxT9CYjlEGMdcN92EdTJhDCNNTGz2n3zyyeujRHsODaSQU2Vzc34iywC278/0X3h3v/p46ZIthzJ99VJ2//33Z+oS1FX17F8o4wIABQH8xet057+zWoCe95EjR77Q6XR+cTt+7LzPmzdv/oePXv9oCbUHzR3sKcHUBCYg1BSQPw5xB9RsFCSKxyQcYu6lknBwy6xrqW8+gtUJeRrplcN4AhAIu3f3Z/v9/CuUeJRcEKm7IYI+D72neVmkcPyUZwFyl6+vT/6VDT6DVi5pDKYi5AEqtoG4l1JPImhNBQJ0NVyMAZ99zL1USlhn3UxBU6ACAHMR0bxEYnBZuitp7VJzjWCiNfWLeaPxKO7GMQAIOtLmFWMnNwAPecPXNzZ/9/Ll6+pnxVNZD32egXB2AQqCZrO5OkoOllGAfHJzc9PkVLFAblcZy+g1eK8B3QF/Au54TWoNIA87eQB/eL+5uVlCP6ocgJ4IBtjtO4BPNADUBkLaQt2T8rnPfe7w5OTkr9XVG8f1jz/++F9funRpA/rSWoE2B1FtAc1EyCOAaUmbgbQ5yAF54hpKCWaHN4DBmOuo9ic1d2Tej9udtG69whoC5w20eWjv3ry9tdX/2zpnIbwwBVCRNbNmVphchtzDRNUkaW2hWpXtkKS1pelt+dylnCybm5uXNjc3z2DduJmIk8bQynIFTlI6QiVj36GcRDAmxB/QVBTjAf+QMPCT01lzkGsmopHIPIsp9C6mrVYX4k/OxMT8RFlu/cNGVu7C3TjuzHu9XjbZ0anoVf6VvNHP+r0/+vjGx8pbTPIektJV8xkEzzMgaampmajT6RTHjx93VZK6HwS5PhSQw+k/L730Ep6Dne3du7dcWlrK+V8cB8sHmBepKgkJvGwFg971uwJC6QeOdkCFiBYlYNOnu34tIPTuH9qCQMDrKEQefXR+9+Tk5D8f7n7SW/X7/dWzZ89+J61FConMe/JJZNfLaH+m+QFNMkNrJJzhPXcrVdpB+5ryMpKuQ5kI/lwwcM1gBE2h0Wh8o9/vJ+RXkTIcIvjT5LVYRteyAB908Ds3AsJecwTCVvb+tZv5j50oZKhqzEQSsRwik+nocWK5Li8R9ISkMY05MGkqSKwBDUCju3/Jy4gKh9HcS2OZS9PPM+hm3Zlmd/LbWV4eIDnIlZ0cCE8dIFReKYry1IULVy86yeuGMhXpb2iQ8wz27eusHD9+XKW2HvQ1FJCfOXOms35uvbXU0eBNB6WArn7M5jqU42deh5YPdgOpmoCCZdO1bPLBcdH0g2afymQEBaBLGFPQAw888E9r0tQOditC7a2t/mtvvXX2f4/cUbADCfy5xxA2hnJ4cddSShhrEhlxF91LoRWUA/Jb0liDPuz0SViBDh4jwM09iUIeR6FbLMvyK3meJx7pPehKx9Lb+n7oZdn74crKyiU0D9mUFHZcJ/rYuJfCVWoy4hHKdNYU+KGcJ6er9yaSNAHoSdYG7Ngs3oBFG4OGQLkBJ44AUmcEzEKDB59JQWQwy90qgKzdnjqc562jWVbuazYbcB5rf6LV+vFmUby1ulp+NMx5BmDaD+Uo4p5GsSes1+ttDXu258BA/vzzzzeOHTs2+cADD2QXL8K0LmbwHl9VWfZABpfJJVUfPuNf1dqUOTeoGtoSBH4o4Tt/LMPaVHCMpgnQGfkC4+jRL/z8xERzWz0iVlY2/8vKysfnlZnIMSlpApmW0dlWGsSOehHFHtEUIlnb/WnMAfRIXUep+ymNL8D3GFxGtYaFhcZD/X7/4UEhetz14fDmoij+OM+1O1sdV4DjY2oKSiLbNBU0tsBPSYFb/WBuIhKHQO9XzF7K8hSFktfJ65YSgYwtvcTV7nkGxLWUnmeArWkEckpqirm5fb+wvPzx9+Pf9/DnGaAXUcUR4ME3/DwDM4GLFy8uP/vss/SskqRHcWAgB5fDixcvtjXSKiTPHlCgrd9TBEbQVmBPgL0C74u6B11PozcFfiocpHK8rsB9c29JwZ+CviQAJA2BC4XYCh45cqQ9MzPzmyZBc9JiD1KpLMv3Lv71xf9akcSGMK4I4opedvkCpThc0iYjHC8G7MgjDMsXDHJPg9eNCQB7zfcuMmQwqLaTeXd6unxy8LHH26IsW1fyvPc3o/YaS0VBBYQkAHyXUmhx1SSrk91IxaAzUlUKPsN7TIktSDcLxQLNAucZRA60MfmK2rum5584f+knfwKgjwFno35HaUJBOvEMPFgmNoZxRRwIyHVyrPcnbt78YSNmUvGvdfK9ezeVHd2CPQI/3rYWDHqn716zZbQOtLNbd7rTZ80dLUASItXCX8yymLnIERx795YHDhx4tN1u/71t+OKL69ev//tz586Z7QnXCMImJcsV2Flx/sB6DqGZyXoOUY4Ae8AyFCJILlM3U6iLQoH/3Yb1iXTpg3+73YbEZmNJMzzsvdy6Vb42OZkvUtMQ9CUGn1HbFCOYhx2ftovnJXLjC7RwCAWhqW/diTnQLqVSzIFFf64heBwBC13g6SkGT2XNeQL9udOZmz98+DOfefPNH74mRyT7qavhjulBNsHzDAi3oOabmLUU0ld/85vfXB7UFXFQIG++8soryaeNU5MIB0H4bIFd29J927nd9VszyQOZFQo0eyyCug/uemy745d2/1CG5qI6rYCagw4ePPiNZrNJkjKN/lPb2tr6vTfeeOOtUE/pJqMYhwC9I28A7ylRrMstT2CvU/IYyWBt4rmkXE9VL6Zb6jlEd/zS7n87NYL2VnuuMdP4CnctpOs7rEthyrcNboe9Xu9VZSYyEchoMlLtl3RUMhLKlCeQOAGJMB7Ig2gE8pgLBPxMs5li1lKbrVRnO5UymNr+/ORBo55n4OUnYjmLiqK18NnPHNz3xptvvCnb4mNEMcxcOs/A3hGNNsZSnpQOy5VGYIbrHuiuHz062CHNAwE5kJxnztxoHjyY8viOt45kJ+cjLC1BqoCLDsFKBQBeowKE9oHmHzQZOeYjygkYMxG07XSW8i996UvfzvN8HPmuy83Nzf9z8eLFv6qUDSOXQvcfIo5RUHLQTxcCfHVj3kNYlxLKKChMfEHlYmq1AD4CtfurmAPiicS1ABAeaELisQT0GgqIZrP5aKvVejD2VFKg5/X4GZ91fuXED72/sbHxZ1m2/6aNIpZnQT2DdA2rXdBIZOuGCrtl4BVsXIH+3sG7yHIOXhI7QyhLGUpRsASvjfdn7fSG5xQMd54BUMeYkSjtPIO5uc7MgQP3zb755ocXd/Y8g1ieIrXjLwYlPZOBHMwqr7zyyuTGxkY5MTGh2sF7+Aufz5/X38nCgrkOnw3gwzUJ/FU5NCKCIVR3HM9PzKOGmoOkehr8UUPQmgDVDI4dO3C83W6fUHG+Q7zyPF9bXV397uuvv/4+1wwcQpgQwWhCqjQIwjlQIMfpDHL/9BbGB/40OgBGMJFhJKBMj6vr0UAyE2qmXEzBNARNtbspaAAYZOZ+psFl+/f32+vr61+B/EdDfD1DNTHg/87GxobJKz9oN9xMRD2KoC+eqA77d/MQaQIZYwt0QjrUAqAFTWCnPptEdU5wWZZlhx4/dF+edxZarbJbFMXG5ubm0uXLl+EA8ZJ6H1FzEQqGcWYnrUtBwQPJYucZUC7Bfjs6StnGKo94noHpOOZRxKOSr127dnMQ0jMZyCGSE8xD9FFcXJzIAbiz7KFsYvFivrGwUdoySDqjr08sTqhrCvTNe7gG4O4AtwF/FAr0ulQ26M9i3PU5MD7++OP7Op0OeLIM4iVRFEXx2srKyp+9+eabq1QLcAUHJZOpmch6BlGvILhXiTfgXkOjrImkDWgBp11SwwJxlFFpWx5s5scRUJNRp9PpdjodcEdMNg+OMtNer/fRrvVdZ25PLqKUmVvBQIPJqIAAF9HDh498sd3Ofw4zytKey7K8tbVVnl5auvzqe+8t99B7VD0HyozEYgt4oJk0zSqCjcUdjMkkhEOO/zwD7JllKnVOPrNHmdGEdc4yXM2yvQ/v3Xj44YdVIGDKKxnIv/e97010u93k+gDuWfY+mQN+5uW2ChUCsMvHHT8HfQB1EBBQDq3xPQA/1RjgWlQbEDSGcWgE99//0P7p6ebPZFn22UajgQ7Y9Pvol2V5vijyd1dXb/zoypUrKk+naz6xZiJXG9Dd0F0yNx9pEKeksfYGcoE+JBi0hxH883b85A5CLqRYzvkRyW2UP6AhwSA9yPL9h0AeyjXod7vduVardawosjaG5jsRmhj7k/LridTp9XpXiqL4GzDtVFyCcQdFt1FliGLRyKlcwfanptif7dq10T148OCv5Hlem8+9LMuPr13b+O8XLvxYRSd6gWUm0hhNQSgssB5PViedZ1DFF5DYg2HPM5AilUf8yp3m7tGW/HQzzEfkn4CGnkXd7np/EPNKEjBDJOepU6d2ZBeTupjSzh/a0h0/mnlQIMD1Sksg5iEUGmgyOn/+fHbw4EErFM5n2flMqwsxLYKbj0Ao/OzPzrcmJiamp6amptfX1/u9Xm/VvEZKW5liM6cEMq6rBUstKPTLkspcC3BdS21dFTugTDnU0wgFhi2j8QboXiqZiiTBAGXAQagdvhBbQAWaBOy8DIXl7t27J4uigENB5hDEKZiHyqA9z9VSPa+uAPjxysr0OZ6KQtf1zUbaNKS1CSSTsazT6ZhIY30dPYhCOYlgBB6pTMtSf1+zs7PNQ4cO/UaWZQdS28CpVhcuXPjPN27cSMjkF3Mf1aagu/U8A76eoZiCbre79vWvf13FHdS9UoG8derUqdbBgwfL8+fP5/h3ff1g2e2er/rA8rpBb+91WVOQBAOW0Z0/gr4jEIxJCASGpD0gwPPd/jh2/4OuZcpOOZRuQQOjFQDu57AwsLEFLuhbd1M/lsBqDzbgjLqOosYgBZw5axIILltZ6Tba7Ws/U5YNstvkOVmgJ43QFMAV0KsrOjQfX/1+f6MoOm/cunUNdWvh6wmRxjEzEUlFQUCf8giONxH6IJn0FDaRHcYcaC0BcxbhJJX2YNJWPProoz/faDQG9r/v9/tvnD179g8HfS7T68d4A/lwG3qegSaN7bkGlacQOc8A8xPppHRbJUYlcw+iYc8zSL3Xra0tiPQMnihF+0kCcjCr6EZg+n1Hv3v44ewd9VZ/xmtQDmAPIP/ww5mqA2CPoL++vl5iHWiF9bANFQzSDd8pwoICP58nv8a1BKiPBLHmGKymEBIECPqgLaBmAO0oYZwkGAgJnfpASfUk11KslyYsuOmImouoUIBeKclsgtCIF5Ee19ahAWbqimNWcgPP1tbWpvv95uc6nfw+OKNTXpNYKH6W5Xm+URTFe/1+/8PZ2dm+JAhT8hANRirX5SBCIhnuyE9BxwliWufQoYnG/Pz8v8zz3J7Dm/6wlDdu3PjO6rurq8ANYIK6UOCZYyJaBDtp+kCj1RzveQa+iUh7DcEcaZZSehSmQxBjZgpyvjGQ1CdOnFhN8SmvBXIwq/z+7/9+W140C+yW37PAroGcAj+8fzjDci0M3lFCAXf6KBysQLDADyCuwcsKBgnYD64fLM8bTYG+H+2L347WVjvQ4P9ASXkFyhM4JDF4DBnvIGUGArcfYu+vPIeMZxEKB2MdUjcSA316LUk4jGFpJPDXP4IYccrNQ9BCu59yXsGaiDD2wNUOOp2lmW63e3+z2dzX7/dr8umpg5q3yrKEU9AXNzY2LgGA4zLUpqAwFbl5jN+v9BnHGAz0Q1+QpAVk2WOPPfZT7Xb7Hwz7tW5sbPzBmTNLb/AMpXTHL5l/YDwA9pTzDIad23jbSaea4Qg2IR2U0PMM+GlnbhoKm90UBMDXvva1dUzrEJt7LZCDt8r6+jrYyxSI/uQnP6ltM9piWaC3/XBNgAmE7OHsHaIpaKDXAgAFBQoIIGwlLQAAH3pFjYCbkWAud4o2EF9f60GE9RwSmXoNGYHASWZoh6Qx/tVeQ5o7EIFe8QjEzRR3/lQDGJM2ELt/mnoB60l8Aq3HSeaZmWan1bo51263J4qimOj3mxONRlE0Go2Nfr+/WZbl+urq6o1NSAvhOPxrklmJEwgwM6kreF6iEB8A7dBUlJyXiC2GdF8p949CA+oePXr0sYmJib877O+43++/8tprr/2pbS8LDFFTkM4zIO6lyBlwohjPOAhxB1RA3O7zDOLr6goASDmfYl6pBeUXX3yxc/SojnUBEKeAzt/jdQR7uB4D/rrr/g1zDcA167j1sa5sDkKQhzZoJkJTkC7TZiH4Cy80EcH7kJnozgd7yg9wbUCbeDj4c5BHjyFHWyBxBAbOXVKYgbw1E/lxBMOCxyjtJDOR5GUTA39LHONMBHNQFUjmpqKwQK9EQJVzSHIn1UIikp+IcQKhdVH3Z/IT8ft/8MEHj7ZarV8adk37/f4PXnvttf+b3j41i6mUtprGEcCIlDT2D62JnWeAKa25lxH0Sk80G/U8g/R10TVTzCtRIAezytmzZ1tnzpzJEMzp+2pCkCr/aJadOZNlBvOrSwrcbx4q4br0ouCPwI4CAuoPKhwGXSRbnwoJUmp29ZQfsO9lMxGak6Ce5ge0dgBKA2gO6r0xEbmCQZPHVGOg1+H9nasVyG6lMpeg6yqTDzETUS0A7hVNQlQriAWcOQIiEGS2U6YifIJCAsH3srH5iFyzCU1JwZ9u2UxEvZGQL6BRyzSBnSsYtIC47777DoxyuPjW1tZ3L1y4cBb6jglEvBvOHwwXjZxCIvP1kwSDqz1UXkTklDNMbYHEcOp5BjC65F7KeQQBw27Vea/UAXnz5MmTipbnQO6CO9TQaM6BHOo55RHQrwNhqhFQkKftuAawvSYhCfypJgAz8zmDh8dXjzMAAB8OSURBVI0pSCKMAcjBzIMhRSgU0IffagPWY0hxB9rapPgDuh6UV6hb352/7oM/9RRCIhhBHf5izAACOmoIFPgpWGtPokXwtDLCU5t/Uj2I7gTgR0CEvy7ocQ8iHn1Mk89Z0Edi2HUN1d8+moYOHTr0W0Nm9izW1tZ+e3FxUQWzKO1Bdew/XXWaEN5v+P4xCZ8bV5H+HKdqAtAjTT8hRR7rUVPPM0CPIdQQcARKECPwF8VHvW9/+9vR4KAokEPK2nPnzoHNLNOAbF9Hs6PZGQXe8ILttt6183oI4rbcr6vb6d28VA9HReFBd/6ShlBdN0KDCwDoTzITherh+FRjSDUfpT9UULNOK7B1wqYh5kWUPZwB8as5AK0NgHAAwYBlNNALuQLqcYT3gMQx1QruXA3BrjyNLMZANR5tjPZ9GoRGA82oSQnjDChvgKPFIpAroZCQvmKw5yZeO2Qjp0Qy9oBln/3sZ7/YaDS+Neg8er3en7/66qt/bNvZYDSa3bT2PAPjlSS6l7I0FVgn5Ek1yP2j8BgkOK1+jQZNXoewrs1Ee/dulcePH1+LjRMEcjhA4tFHH1Uh+YcPHy4B0CloY6f6Wjc/fHid1MGrGrRlsLfXXAFggB6EgzHXKCFhBAfW1Z/h5QoQKhSsAEAh4Zt+rADxr0kLN4hQiAkA3vfgfAHtQRYAkjnICgDMImDBXYkJ41aK3ACUIVeAPIGrMVj3UmjDNQJof+eDfYpZSNdx4wi0lxGPQtb3bL4fE0xGSWKJLOZupfXgsL01gFQ8dOjQr8JZ46kj9fv9C++9997vLi4umiCWutiC8HkGuIun0cUeAZx4ngEPJuP3Q/kCvMZJ83hshT3mMnWt0upZAXDjxo1bsdwrQSB/8cUXm4cPH1YJoADEAbBxcP6Z1km5hsCP7UJCwQqQoxkVFKGdf0gr4PVFwWG0CXvNFzSu5mCFCBcY1ZdkNAL+pcWEQco1rk2kPRSptWLmIt0H1QZsr7qddK3yHjImJfQcwvpgFgKtgZqNKNkccje9MwVE2FyEa+VqCLqUBpjRSGS4RoUH9Ryi5iWel6j6rKRKwN20xoto165dzX379n2r0Wg8Vvf0wEEo6+vrv/f6669vhM4qoCAZqgMBZ5iMzmoMd+B5BoHTzWLmIun+U2MO9u7duxk7zzMI5OB2uLi42KAAzr9M3KXzOgjm0l/oA+vbXb7d9Yd2/7RcquOW6Zm65h+cvRUKcJ3u+m0Nvdu3ph4Edc0BeHZ/0AsMF6DGpcRuxQnECWORRK759VDzDq0aIpBj5qDhNYKQNqAgn3AEOEPXiwhKbWCZFQZo87fagCWJaewB9loRyoREVhiG0cgktoBHJNN6dYC1k9clophHICNgO9zB4kSOpiIMGFNxB5CbCPMRmfd4P2guorEGeO3BBx883O12fz7PFTftYEae55c3Nzf/4v0/ff8szWI6jnWqA0XcNcNYsl99/XkGtkb4PANdZ3vOM8B1ko68pPe/srICuVeCUZ4ikEPK2tOnTzuZDkf9YqSdeqpggHq0vfSeCwW/DST8OuOYiRD86c5fz8nWw2uyUHDvgBLC/N6oFiDxC5QQRp7A1jMk8hmYmREI6v34TEYw35BgwGucOJY4A7zv2LXwsxQWCkgQ67ayGyp6A1GvIU02o3eREhskKtl1M0WzEAA91JQ8iD4pAWZ8jV2hILuh8vTUlHgGgbFr1091d+3K97XbbZXG9tKl1aVbtxZvSsSxFo7ppPKo+FLXXrKTQxvXFq4hWw5Cs9domgo6rk8ek+MwA+cZVFHH0JEhhF1zkk1i993vfvfW888/L+ZoCgF54/Tp0zaJRN0q7fD1FFMPAjn8pRoA39lzwKefqcbhvrdCITSOXhLcmks8gRYYtp5+j5wDmomgCpLKFT9gtvwV4DOSmfME3MMINQauWWg+22oOoa9VMv/QujGXUbrzlwQD9DO+oDMuGKj5R4O6Fgs2oIx+poIB6sC/iic4eLCkHkUI/tCnIpKNJqAAjUYas3LuaXRnmYtcMxFNSw07fp5eAp8BKTGdTT2hg8rgtR3nGUgaxbDwJEUbhxKx8fMM9JgU/OPnGbhxCPZIS0xMB33NzKxshtwQRSCn9vFhF+GT0C60y+dzT9UG6A6fCwRZmPhkMI7tawucdNYuoSEwdwWENI41E1kTkyWVlRjyeAO3LOU7dj2MwoRyCjeAID+8GShlxul1KHFs01EQ05HjZuqmqqjSUhhXU0xRocSLcTyiOYoA4KkQkUjl9JnfGTWdHb8QZUwFBz/PAM1EjjYQOc8AAL6KPN6BCOOUFeaeMTxbKbefnz+/q3j2WfkIOBHIwT4+OzsbdU08fTrLjpmTKun77HSWZWM9wTJlScZfJ3XXHxo51D5mYqKcAgd0dPGk5VxYwOeQKYiaaUImJjoGJ4SRG/CJZsn7CIUEzIhyAwbIKy2DCBOiZaCJKvatSsFntH4o5iBWDu3HJyRkbSDkYqrnbmMQbJSxaxqSy3UdGnxGBYME+pQnoO/vHI1A1gb8cw7st34nnGcwTo2APs8A6jMzM0E7uQfWYB8/depUE4B8ZWWlRECH92+/PZsDeJ8+fTo7ZlAcQVwCdqkeTM4B/sivNbXe+GF8Z3sM2fz5Dj8G3BIZnN6euo9aMpiaefz+tXmJ7tydXTxzF7UrauMI0GxEPYW4wEAzER/L8hGWlE4pU/Ng3kSxmIJU4Ocmo/FFJMdcS9X+nXgK1UUaW48jazZCLsAmp6MpKNBMpEhnIJKJdxGMLuUkwu/6zhAKMddS4z4aOMFMOs8APY6CZxdosl04z0CvisQbQLkYeCZoDk888cQtKRuiBOTKPo4gzsEcgB0Bll6DyVCwx525U4ft1jlQS8D9aQHzVNER2tHXkcncgwjHi5HEXEPg5h7uKSR5DvEynzS2HkE+Z1AfhyAFk/GYAxqUxuvT3b/a5StpZL+Nup1/6vdW50kU0gbGpyHgTAO8gcMT8DxFXECg7mA9iZRIMSYhFYNAXEoxvoCDPieO7wzgj3+jvieRTTchpaSugsqcjKV6DJqlVIO5f3gNNx1tLGxAjnLvsAkPyNE+DgCMt4S7c9iRHzmiy7GM3zbu2hHUoT7d3WO/aqd/OstWsL+3Z3N4jxoA7ubtjl9rAY6wMMJj9u3ZHMw5MaGBgoVqCTD3oIko9H3epaYjerspZqUUExEVFj5/4BPGobgBQFaMI6hMR8Z+L2kiXFhwsxLVHPyv2XUxpbEJnJNQm3uSgiJEKqsxQqkpiHaAQiPFLMQ9jLgGEHp8xyUYOEFMx3ODzlyNAQlmGkug21oi+t55BngWsl4ZmsL68OFOT/Inl3bkzVOnTqlyAEgE2iyDA+JPme9Lv6fXNVgfK2md2dnTyjzDgZ8DOwIx1HOAnu3yFehCJQLa0q4ehQf2J9n7Yzt91yRkzUhxWU2uErD/tGgUsUAwWJk68xGuHo8xiHkcuRqD3b3LAoHu7nE0Yt8nkcLV1aNHM/BPh3FiQWSV6yjxMOKpKSpNQEkRLQCkKGRqbkJBkcIZSM+mZDKCepJ2QNtLZqLkZz9YsSamQGkE8Br0PAPtQjroeQZSugmcesjLaPQ1GL0HeB6lvCsekAPROepwod267pcKBH8kuqPHqyFNwI5j+6Q2fRQ0dD5UuwAzPzUhocChAgCvA7gfOXJEaQwS0ANgZ1mEOzgNVzVBfLcTxaM+P6m7/ZDwgPElMxAVKNy11BUgvgZgr7vpKHxzEt3RhwQGdzt1CWMEcCmHUYxPUDKiIo3dGANMlaQ5COI9JEQfx9xL63IU8aCz7REKsSeMnmcQSmW9DecZmMR11YE27FhMmPG4TEcnTpzY4HZyB8iR6Bz1hzh4+zi4Y38OIBNtQRIc1a6f1QMQpeYeBG9qCgJhg9oEcgLSLp9qD9wEpGA94NnjcAzGLDT4mqWTxsP0/UlqU8cP4L3UuZHSe5Y4hTj469YST2D7dW3+aC4KRSBbVpaSygrmA66n4bQSrvcQbW+DzUKpqEPPwqD8wbAaQmj8wc1EO3OegcpilHSegT4Ok3oVpYD94uLiFs+7woG8cerUKZVf5e551QkJbiZy69dpFxTw+e6eCgnaD2gYcA3dNzmxrIXK2/kxsCFR27/hFLipCDUEqj1gWy1QqKYgmIqMKUjyQIoJpLvnGQnfSZ2Q4ICf4naaQiLDjLTgcPMMSRqAFghWU6B1YIeO5iHpLiVi2JLONFZBJp6VWKnMRIKAINdpXWcudecZmNPJpPmHSGSoK6WkGBz8U5/yusylkhCJeRnppHbSeQbdbrfghKcD5EB0Liws1J4alHprd349CeSxLHZN31lUEzDum7gGDiFLiF3UEKp6xCsIyiTOgLuGYh9olqLrzttLmgMHa9qe8hJe+V0QLzDKMxrjBVKu1dWBuUmcgSQIKPBTIOYmI7wG5d1z3dymotYrISWNM1e83EPcNdS2t2Yd6jYqgb4uU//flvMMYGR+kA19Jnb6PIPqrIIIZ7B///4+JzwZkJfNZ57RtwGE54kTJ0okPqEMP9NyXmeUH8bd2vZEdiI7VRHFeJc+eRziD2ICgwoUqZ7lHDQRHfQgMtNC4Edegu7+ueZAzVR4V7TM9xDS2oBrcvI1hJBmID0fnwYyOZVITnFNjZmMqODAtUatwM8/5OcuQps+5yekbKXjPs8A5zvW8wxMp4OkrqZCAZrTdBPjOs8ATlw7yiI8uWlFeaykAHgFRwbs7wH6TokhX1NwvYusoKBeQygkQgRxCMA5p4DeSdA3uo9yMplH93JXUrpS1CwkaRS1q8rMQrX1P+UV6oSCC+D6Uyx+QEpLwZfYNQe53kMYdLbt5xmwdBNUm/DcShkBHOUCBjzxbBChgOsomYOefvrpTUp4VkAOROfJkycbYFpZXDxRws785Mksg78A7ouLi+UzZruOYI/X+Q4eQJ1+mVQ40F09tgsJhbqd/z3hIaFSHSeg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",xt="data:image/png;base64,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",bt="data:image/png;base64,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",Yt="data:image/png;base64,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",Hn="data:image/png;base64,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",fr="data:image/png;base64,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",tr="data:image/png;base64,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",hr="data:image/png;base64,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",Wf="data:image/png;base64,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b=glMatrix.RANDOM()*2-1,z=glMatrix.RANDOM()*2-1,re=b*b+z*z;while(re>=1);var ae=Math.sqrt((1-te)/re);return E[0]=a*y,E[1]=a*x,E[2]=a*b*ae,E[3]=a*z*ae,E}function Cd(E,a,y){var x=a[0],b=a[1],z=a[2],te=a[3];return E[0]=y[0]*x+y[4]*b+y[8]*z+y[12]*te,E[1]=y[1]*x+y[5]*b+y[9]*z+y[13]*te,E[2]=y[2]*x+y[6]*b+y[10]*z+y[14]*te,E[3]=y[3]*x+y[7]*b+y[11]*z+y[15]*te,E}function LS(E,a,y){var x=a[0],b=a[1],z=a[2],te=y[0],re=y[1],ae=y[2],se=y[3],fe=se*x+re*z-ae*b,me=se*b+ae*x-te*z,xe=se*z+te*b-re*x,Te=-te*x-re*b-ae*z;return E[0]=fe*se+Te*-te+me*-ae-xe*-re,E[1]=me*se+Te*-re+xe*-te-fe*-ae,E[2]=xe*se+Te*-ae+fe*-re-me*-te,E[3]=a[3],E}function OS(E){return E[0]=0,E[1]=0,E[2]=0,E[3]=0,E}function K1(E){return"vec4("+E[0]+", "+E[1]+", "+E[2]+", "+E[3]+")"}function Z1(E,a){return E[0]===a[0]&&E[1]===a[1]&&E[2]===a[2]&&E[3]===a[3]}function Q1(E,a){var y=E[0],x=E[1],b=E[2],z=E[3],te=a[0],re=a[1],ae=a[2],se=a[3];return 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E[0]=a[0],E[1]=a[1],E[2]=a[2],E[3]=a[3],E[4]=a[4],E[5]=a[5],E[6]=a[6],E[7]=a[7],E[8]=a[8],E[9]=a[9],E[10]=a[10],E[11]=a[11],E[12]=a[12],E[13]=a[13],E[14]=a[14],E[15]=a[15],E}function bf(E,a,y,x,b,z,te,re,ae,se,fe,me,xe,Te,ke,We){var je=new ca(16);return je[0]=E,je[1]=a,je[2]=y,je[3]=x,je[4]=b,je[5]=z,je[6]=te,je[7]=re,je[8]=ae,je[9]=se,je[10]=fe,je[11]=me,je[12]=xe,je[13]=Te,je[14]=ke,je[15]=We,je}function $u(E,a,y,x,b,z,te,re,ae,se,fe,me,xe,Te,ke,We,je){return E[0]=a,E[1]=y,E[2]=x,E[3]=b,E[4]=z,E[5]=te,E[6]=re,E[7]=ae,E[8]=se,E[9]=fe,E[10]=me,E[11]=xe,E[12]=Te,E[13]=ke,E[14]=We,E[15]=je,E}function wu(E){return E[0]=1,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=1,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=1,E[11]=0,E[12]=0,E[13]=0,E[14]=0,E[15]=1,E}function Pd(E,a){if(E===a){var y=a[1],x=a[2],b=a[3],z=a[6],te=a[7],re=a[11];E[1]=a[4],E[2]=a[8],E[3]=a[12],E[4]=y,E[6]=a[9],E[7]=a[13],E[8]=x,E[9]=z,E[11]=a[14],E[12]=b,E[13]=te,E[14]=re}else E[0]=a[0],E[1]=a[4],E[2]=a[8],E[3]=a[12],E[4]=a[1],E[5]=a[5],E[6]=a[9],E[7]=a[13],E[8]=a[2],E[9]=a[6],E[10]=a[10],E[11]=a[14],E[12]=a[3],E[13]=a[7],E[14]=a[11],E[15]=a[15];return E}function Uu(E,a){var y=a[0],x=a[1],b=a[2],z=a[3],te=a[4],re=a[5],ae=a[6],se=a[7],fe=a[8],me=a[9],xe=a[10],Te=a[11],ke=a[12],We=a[13],je=a[14],Ke=a[15],Qe=y*re-x*te,Je=y*ae-b*te,rt=y*se-z*te,ot=x*ae-b*re,ut=x*se-z*re,ft=b*se-z*ae,lt=fe*We-me*ke,Dt=fe*je-xe*ke,Bt=fe*Ke-Te*ke,Vt=me*je-xe*We,Xt=me*Ke-Te*We,vn=xe*Ke-Te*je,on=Qe*vn-Je*Xt+rt*Vt+ot*Bt-ut*Dt+ft*lt;return on?(on=1/on,E[0]=(re*vn-ae*Xt+se*Vt)*on,E[1]=(b*Xt-x*vn-z*Vt)*on,E[2]=(We*ft-je*ut+Ke*ot)*on,E[3]=(xe*ut-me*ft-Te*ot)*on,E[4]=(ae*Bt-te*vn-se*Dt)*on,E[5]=(y*vn-b*Bt+z*Dt)*on,E[6]=(je*rt-ke*ft-Ke*Je)*on,E[7]=(fe*ft-xe*rt+Te*Je)*on,E[8]=(te*Xt-re*Bt+se*lt)*on,E[9]=(x*Bt-y*Xt-z*lt)*on,E[10]=(ke*ut-We*rt+Ke*Qe)*on,E[11]=(me*rt-fe*ut-Te*Qe)*on,E[12]=(re*Dt-te*Vt-ae*lt)*on,E[13]=(y*Vt-x*Dt+b*lt)*on,E[14]=(We*Je-ke*ot-je*Qe)*on,E[15]=(fe*ot-me*Je+xe*Qe)*on,E):null}function Cf(E,a){var y=a[0],x=a[1],b=a[2],z=a[3],te=a[4],re=a[5],ae=a[6],se=a[7],fe=a[8],me=a[9],xe=a[10],Te=a[11],ke=a[12],We=a[13],je=a[14],Ke=a[15];return E[0]=re*(xe*Ke-Te*je)-me*(ae*Ke-se*je)+We*(ae*Te-se*xe),E[1]=-(x*(xe*Ke-Te*je)-me*(b*Ke-z*je)+We*(b*Te-z*xe)),E[2]=x*(ae*Ke-se*je)-re*(b*Ke-z*je)+We*(b*se-z*ae),E[3]=-(x*(ae*Te-se*xe)-re*(b*Te-z*xe)+me*(b*se-z*ae)),E[4]=-(te*(xe*Ke-Te*je)-fe*(ae*Ke-se*je)+ke*(ae*Te-se*xe)),E[5]=y*(xe*Ke-Te*je)-fe*(b*Ke-z*je)+ke*(b*Te-z*xe),E[6]=-(y*(ae*Ke-se*je)-te*(b*Ke-z*je)+ke*(b*se-z*ae)),E[7]=y*(ae*Te-se*xe)-te*(b*Te-z*xe)+fe*(b*se-z*ae),E[8]=te*(me*Ke-Te*We)-fe*(re*Ke-se*We)+ke*(re*Te-se*me),E[9]=-(y*(me*Ke-Te*We)-fe*(x*Ke-z*We)+ke*(x*Te-z*me)),E[10]=y*(re*Ke-se*We)-te*(x*Ke-z*We)+ke*(x*se-z*re),E[11]=-(y*(re*Te-se*me)-te*(x*Te-z*me)+fe*(x*se-z*re)),E[12]=-(te*(me*je-xe*We)-fe*(re*je-ae*We)+ke*(re*xe-ae*me)),E[13]=y*(me*je-xe*We)-fe*(x*je-b*We)+ke*(x*xe-b*me),E[14]=-(y*(re*je-ae*We)-te*(x*je-b*We)+ke*(x*ae-b*re)),E[15]=y*(re*xe-ae*me)-te*(x*xe-b*me)+fe*(x*ae-b*re),E}function hc(E){var a=E[0],y=E[1],x=E[2],b=E[3],z=E[4],te=E[5],re=E[6],ae=E[7],se=E[8],fe=E[9],me=E[10],xe=E[11],Te=E[12],ke=E[13],We=E[14],je=E[15],Ke=a*te-y*z,Qe=a*re-x*z,Je=a*ae-b*z,rt=y*re-x*te,ot=y*ae-b*te,ut=x*ae-b*re,ft=se*ke-fe*Te,lt=se*We-me*Te,Dt=se*je-xe*Te,Bt=fe*We-me*ke,Vt=fe*je-xe*ke,Xt=me*je-xe*We;return Ke*Xt-Qe*Vt+Je*Bt+rt*Dt-ot*lt+ut*ft}function Wu(E,a,y){var x=a[0],b=a[1],z=a[2],te=a[3],re=a[4],ae=a[5],se=a[6],fe=a[7],me=a[8],xe=a[9],Te=a[10],ke=a[11],We=a[12],je=a[13],Ke=a[14],Qe=a[15],Je=y[0],rt=y[1],ot=y[2],ut=y[3];return E[0]=Je*x+rt*re+ot*me+ut*We,E[1]=Je*b+rt*ae+ot*xe+ut*je,E[2]=Je*z+rt*se+ot*Te+ut*Ke,E[3]=Je*te+rt*fe+ot*ke+ut*Qe,Je=y[4],rt=y[5],ot=y[6],ut=y[7],E[4]=Je*x+rt*re+ot*me+ut*We,E[5]=Je*b+rt*ae+ot*xe+ut*je,E[6]=Je*z+rt*se+ot*Te+ut*Ke,E[7]=Je*te+rt*fe+ot*ke+ut*Qe,Je=y[8],rt=y[9],ot=y[10],ut=y[11],E[8]=Je*x+rt*re+ot*me+ut*We,E[9]=Je*b+rt*ae+ot*xe+ut*je,E[10]=Je*z+rt*se+ot*Te+ut*Ke,E[11]=Je*te+rt*fe+ot*ke+ut*Qe,Je=y[12],rt=y[13],ot=y[14],ut=y[15],E[12]=Je*x+rt*re+ot*me+ut*We,E[13]=Je*b+rt*ae+ot*xe+ut*je,E[14]=Je*z+rt*se+ot*Te+ut*Ke,E[15]=Je*te+rt*fe+ot*ke+ut*Qe,E}function Qg(E,a,y){var x=y[0],b=y[1],z=y[2],te,re,ae,se,fe,me,xe,Te,ke,We,je,Ke;return a===E?(E[12]=a[0]*x+a[4]*b+a[8]*z+a[12],E[13]=a[1]*x+a[5]*b+a[9]*z+a[13],E[14]=a[2]*x+a[6]*b+a[10]*z+a[14],E[15]=a[3]*x+a[7]*b+a[11]*z+a[15]):(te=a[0],re=a[1],ae=a[2],se=a[3],fe=a[4],me=a[5],xe=a[6],Te=a[7],ke=a[8],We=a[9],je=a[10],Ke=a[11],E[0]=te,E[1]=re,E[2]=ae,E[3]=se,E[4]=fe,E[5]=me,E[6]=xe,E[7]=Te,E[8]=ke,E[9]=We,E[10]=je,E[11]=Ke,E[12]=te*x+fe*b+ke*z+a[12],E[13]=re*x+me*b+We*z+a[13],E[14]=ae*x+xe*b+je*z+a[14],E[15]=se*x+Te*b+Ke*z+a[15]),E}function RS(E,a,y){var x=y[0],b=y[1],z=y[2];return E[0]=a[0]*x,E[1]=a[1]*x,E[2]=a[2]*x,E[3]=a[3]*x,E[4]=a[4]*b,E[5]=a[5]*b,E[6]=a[6]*b,E[7]=a[7]*b,E[8]=a[8]*z,E[9]=a[9]*z,E[10]=a[10]*z,E[11]=a[11]*z,E[12]=a[12],E[13]=a[13],E[14]=a[14],E[15]=a[15],E}function JI(E,a,y,x){var b=x[0],z=x[1],te=x[2],re=Math.hypot(b,z,te),ae,se,fe,me,xe,Te,ke,We,je,Ke,Qe,Je,rt,ot,ut,ft,lt,Dt,Bt,Vt,Xt,vn,on,wn;return re<Wr?null:(re=1/re,b*=re,z*=re,te*=re,ae=Math.sin(y),se=Math.cos(y),fe=1-se,me=a[0],xe=a[1],Te=a[2],ke=a[3],We=a[4],je=a[5],Ke=a[6],Qe=a[7],Je=a[8],rt=a[9],ot=a[10],ut=a[11],ft=b*b*fe+se,lt=z*b*fe+te*ae,Dt=te*b*fe-z*ae,Bt=b*z*fe-te*ae,Vt=z*z*fe+se,Xt=te*z*fe+b*ae,vn=b*te*fe+z*ae,on=z*te*fe-b*ae,wn=te*te*fe+se,E[0]=me*ft+We*lt+Je*Dt,E[1]=xe*ft+je*lt+rt*Dt,E[2]=Te*ft+Ke*lt+ot*Dt,E[3]=ke*ft+Qe*lt+ut*Dt,E[4]=me*Bt+We*Vt+Je*Xt,E[5]=xe*Bt+je*Vt+rt*Xt,E[6]=Te*Bt+Ke*Vt+ot*Xt,E[7]=ke*Bt+Qe*Vt+ut*Xt,E[8]=me*vn+We*on+Je*wn,E[9]=xe*vn+je*on+rt*wn,E[10]=Te*vn+Ke*on+ot*wn,E[11]=ke*vn+Qe*on+ut*wn,a!==E&&(E[12]=a[12],E[13]=a[13],E[14]=a[14],E[15]=a[15]),E)}function _S(E,a,y){var x=Math.sin(y),b=Math.cos(y),z=a[4],te=a[5],re=a[6],ae=a[7],se=a[8],fe=a[9],me=a[10],xe=a[11];return a!==E&&(E[0]=a[0],E[1]=a[1],E[2]=a[2],E[3]=a[3],E[12]=a[12],E[13]=a[13],E[14]=a[14],E[15]=a[15]),E[4]=z*b+se*x,E[5]=te*b+fe*x,E[6]=re*b+me*x,E[7]=ae*b+xe*x,E[8]=se*b-z*x,E[9]=fe*b-te*x,E[10]=me*b-re*x,E[11]=xe*b-ae*x,E}function FS(E,a,y){var x=Math.sin(y),b=Math.cos(y),z=a[0],te=a[1],re=a[2],ae=a[3],se=a[8],fe=a[9],me=a[10],xe=a[11];return a!==E&&(E[4]=a[4],E[5]=a[5],E[6]=a[6],E[7]=a[7],E[12]=a[12],E[13]=a[13],E[14]=a[14],E[15]=a[15]),E[0]=z*b-se*x,E[1]=te*b-fe*x,E[2]=re*b-me*x,E[3]=ae*b-xe*x,E[8]=z*x+se*b,E[9]=te*x+fe*b,E[10]=re*x+me*b,E[11]=ae*x+xe*b,E}function qI(E,a,y){var x=Math.sin(y),b=Math.cos(y),z=a[0],te=a[1],re=a[2],ae=a[3],se=a[4],fe=a[5],me=a[6],xe=a[7];return a!==E&&(E[8]=a[8],E[9]=a[9],E[10]=a[10],E[11]=a[11],E[12]=a[12],E[13]=a[13],E[14]=a[14],E[15]=a[15]),E[0]=z*b+se*x,E[1]=te*b+fe*x,E[2]=re*b+me*x,E[3]=ae*b+xe*x,E[4]=se*b-z*x,E[5]=fe*b-te*x,E[6]=me*b-re*x,E[7]=xe*b-ae*x,E}function Jf(E,a){return E[0]=1,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=1,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=1,E[11]=0,E[12]=a[0],E[13]=a[1],E[14]=a[2],E[15]=1,E}function Jh(E,a){return E[0]=a[0],E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=a[1],E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=a[2],E[11]=0,E[12]=0,E[13]=0,E[14]=0,E[15]=1,E}function kS(E,a,y){var x=y[0],b=y[1],z=y[2],te=Math.hypot(x,b,z),re,ae,se;return te<Wr?null:(te=1/te,x*=te,b*=te,z*=te,re=Math.sin(a),ae=Math.cos(a),se=1-ae,E[0]=x*x*se+ae,E[1]=b*x*se+z*re,E[2]=z*x*se-b*re,E[3]=0,E[4]=x*b*se-z*re,E[5]=b*b*se+ae,E[6]=z*b*se+x*re,E[7]=0,E[8]=x*z*se+b*re,E[9]=b*z*se-x*re,E[10]=z*z*se+ae,E[11]=0,E[12]=0,E[13]=0,E[14]=0,E[15]=1,E)}function zS(E,a){var y=Math.sin(a),x=Math.cos(a);return E[0]=1,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=x,E[6]=y,E[7]=0,E[8]=0,E[9]=-y,E[10]=x,E[11]=0,E[12]=0,E[13]=0,E[14]=0,E[15]=1,E}function US(E,a){var y=Math.sin(a),x=Math.cos(a);return E[0]=x,E[1]=0,E[2]=-y,E[3]=0,E[4]=0,E[5]=1,E[6]=0,E[7]=0,E[8]=y,E[9]=0,E[10]=x,E[11]=0,E[12]=0,E[13]=0,E[14]=0,E[15]=1,E}function X1(E,a){var y=Math.sin(a),x=Math.cos(a);return E[0]=x,E[1]=y,E[2]=0,E[3]=0,E[4]=-y,E[5]=x,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=1,E[11]=0,E[12]=0,E[13]=0,E[14]=0,E[15]=1,E}function WS(E,a,y){var x=a[0],b=a[1],z=a[2],te=a[3],re=x+x,ae=b+b,se=z+z,fe=x*re,me=x*ae,xe=x*se,Te=b*ae,ke=b*se,We=z*se,je=te*re,Ke=te*ae,Qe=te*se;return E[0]=1-(Te+We),E[1]=me+Qe,E[2]=xe-Ke,E[3]=0,E[4]=me-Qe,E[5]=1-(fe+We),E[6]=ke+je,E[7]=0,E[8]=xe+Ke,E[9]=ke-je,E[10]=1-(fe+Te),E[11]=0,E[12]=y[0],E[13]=y[1],E[14]=y[2],E[15]=1,E}function $I(E,a){var y=new ca(3),x=-a[0],b=-a[1],z=-a[2],te=a[3],re=a[4],ae=a[5],se=a[6],fe=a[7],me=x*x+b*b+z*z+te*te;return me>0?(y[0]=(re*te+fe*x+ae*z-se*b)*2/me,y[1]=(ae*te+fe*b+se*x-re*z)*2/me,y[2]=(se*te+fe*z+re*b-ae*x)*2/me):(y[0]=(re*te+fe*x+ae*z-se*b)*2,y[1]=(ae*te+fe*b+se*x-re*z)*2,y[2]=(se*te+fe*z+re*b-ae*x)*2),WS(E,a,y),E}function im(E,a){return E[0]=a[12],E[1]=a[13],E[2]=a[14],E}function Yg(E,a){var y=a[0],x=a[1],b=a[2],z=a[4],te=a[5],re=a[6],ae=a[8],se=a[9],fe=a[10];return E[0]=Math.hypot(y,x,b),E[1]=Math.hypot(z,te,re),E[2]=Math.hypot(ae,se,fe),E}function om(E,a){var y=new ca(3);Yg(y,a);var x=1/y[0],b=1/y[1],z=1/y[2],te=a[0]*x,re=a[1]*b,ae=a[2]*z,se=a[4]*x,fe=a[5]*b,me=a[6]*z,xe=a[8]*x,Te=a[9]*b,ke=a[10]*z,We=te+fe+ke,je=0;return We>0?(je=Math.sqrt(We+1)*2,E[3]=.25*je,E[0]=(me-Te)/je,E[1]=(xe-ae)/je,E[2]=(re-se)/je):te>fe&&te>ke?(je=Math.sqrt(1+te-fe-ke)*2,E[3]=(me-Te)/je,E[0]=.25*je,E[1]=(re+se)/je,E[2]=(xe+ae)/je):fe>ke?(je=Math.sqrt(1+fe-te-ke)*2,E[3]=(xe-ae)/je,E[0]=(re+se)/je,E[1]=.25*je,E[2]=(me+Te)/je):(je=Math.sqrt(1+ke-te-fe)*2,E[3]=(re-se)/je,E[0]=(xe+ae)/je,E[1]=(me+Te)/je,E[2]=.25*je),E}function eL(E,a,y,x){var b=a[0],z=a[1],te=a[2],re=a[3],ae=b+b,se=z+z,fe=te+te,me=b*ae,xe=b*se,Te=b*fe,ke=z*se,We=z*fe,je=te*fe,Ke=re*ae,Qe=re*se,Je=re*fe,rt=x[0],ot=x[1],ut=x[2];return E[0]=(1-(ke+je))*rt,E[1]=(xe+Je)*rt,E[2]=(Te-Qe)*rt,E[3]=0,E[4]=(xe-Je)*ot,E[5]=(1-(me+je))*ot,E[6]=(We+Ke)*ot,E[7]=0,E[8]=(Te+Qe)*ut,E[9]=(We-Ke)*ut,E[10]=(1-(me+ke))*ut,E[11]=0,E[12]=y[0],E[13]=y[1],E[14]=y[2],E[15]=1,E}function W0(E,a,y,x,b){var z=a[0],te=a[1],re=a[2],ae=a[3],se=z+z,fe=te+te,me=re+re,xe=z*se,Te=z*fe,ke=z*me,We=te*fe,je=te*me,Ke=re*me,Qe=ae*se,Je=ae*fe,rt=ae*me,ot=x[0],ut=x[1],ft=x[2],lt=b[0],Dt=b[1],Bt=b[2],Vt=(1-(We+Ke))*ot,Xt=(Te+rt)*ot,vn=(ke-Je)*ot,on=(Te-rt)*ut,wn=(1-(xe+Ke))*ut,qn=(je+Qe)*ut,yn=(ke+Je)*ft,En=(je-Qe)*ft,Pn=(1-(xe+We))*ft;return E[0]=Vt,E[1]=Xt,E[2]=vn,E[3]=0,E[4]=on,E[5]=wn,E[6]=qn,E[7]=0,E[8]=yn,E[9]=En,E[10]=Pn,E[11]=0,E[12]=y[0]+lt-(Vt*lt+on*Dt+yn*Bt),E[13]=y[1]+Dt-(Xt*lt+wn*Dt+En*Bt),E[14]=y[2]+Bt-(vn*lt+qn*Dt+Pn*Bt),E[15]=1,E}function J1(E,a){var y=a[0],x=a[1],b=a[2],z=a[3],te=y+y,re=x+x,ae=b+b,se=y*te,fe=x*te,me=x*re,xe=b*te,Te=b*re,ke=b*ae,We=z*te,je=z*re,Ke=z*ae;return E[0]=1-me-ke,E[1]=fe+Ke,E[2]=xe-je,E[3]=0,E[4]=fe-Ke,E[5]=1-se-ke,E[6]=Te+We,E[7]=0,E[8]=xe+je,E[9]=Te-We,E[10]=1-se-me,E[11]=0,E[12]=0,E[13]=0,E[14]=0,E[15]=1,E}function tL(E,a,y,x,b,z,te){var re=1/(y-a),ae=1/(b-x),se=1/(z-te);return E[0]=z*2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z*2*ae,E[6]=0,E[7]=0,E[8]=(y+a)*re,E[9]=(b+x)*ae,E[10]=(te+z)*se,E[11]=-1,E[12]=0,E[13]=0,E[14]=te*z*2*se,E[15]=0,E}function jS(E,a,y,x,b){var z=1/Math.tan(a/2),te;return E[0]=z/y,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[11]=-1,E[12]=0,E[13]=0,E[15]=0,b!=null&&b!==1/0?(te=1/(x-b),E[10]=(b+x)*te,E[14]=2*b*x*te):(E[10]=-1,E[14]=-2*x),E}var nL=jS;function rL(E,a,y,x,b){var z=1/Math.tan(a/2),te;return E[0]=z/y,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=z,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[11]=-1,E[12]=0,E[13]=0,E[15]=0,b!=null&&b!==1/0?(te=1/(x-b),E[10]=b*te,E[14]=b*x*te):(E[10]=-1,E[14]=-x),E}function aL(E,a,y,x){var b=Math.tan(a.upDegrees*Math.PI/180),z=Math.tan(a.downDegrees*Math.PI/180),te=Math.tan(a.leftDegrees*Math.PI/180),re=Math.tan(a.rightDegrees*Math.PI/180),ae=2/(te+re),se=2/(b+z);return E[0]=ae,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=se,E[6]=0,E[7]=0,E[8]=-((te-re)*ae*.5),E[9]=(b-z)*se*.5,E[10]=x/(y-x),E[11]=-1,E[12]=0,E[13]=0,E[14]=x*y/(y-x),E[15]=0,E}function GS(E,a,y,x,b,z,te){var re=1/(a-y),ae=1/(x-b),se=1/(z-te);return E[0]=-2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=-2*ae,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=2*se,E[11]=0,E[12]=(a+y)*re,E[13]=(b+x)*ae,E[14]=(te+z)*se,E[15]=1,E}var VS=GS;function HS(E,a,y,x,b,z,te){var re=1/(a-y),ae=1/(x-b),se=1/(z-te);return E[0]=-2*re,E[1]=0,E[2]=0,E[3]=0,E[4]=0,E[5]=-2*ae,E[6]=0,E[7]=0,E[8]=0,E[9]=0,E[10]=se,E[11]=0,E[12]=(a+y)*re,E[13]=(b+x)*ae,E[14]=z*se,E[15]=1,E}function KS(E,a,y,x){var b,z,te,re,ae,se,fe,me,xe,Te,ke=a[0],We=a[1],je=a[2],Ke=x[0],Qe=x[1],Je=x[2],rt=y[0],ot=y[1],ut=y[2];return Math.abs(ke-rt)<Wr&&Math.abs(We-ot)<Wr&&Math.abs(je-ut)<Wr?wu(E):(fe=ke-rt,me=We-ot,xe=je-ut,Te=1/Math.hypot(fe,me,xe),fe*=Te,me*=Te,xe*=Te,b=Qe*xe-Je*me,z=Je*fe-Ke*xe,te=Ke*me-Qe*fe,Te=Math.hypot(b,z,te),Te?(Te=1/Te,b*=Te,z*=Te,te*=Te):(b=0,z=0,te=0),re=me*te-xe*z,ae=xe*b-fe*te,se=fe*z-me*b,Te=Math.hypot(re,ae,se),Te?(Te=1/Te,re*=Te,ae*=Te,se*=Te):(re=0,ae=0,se=0),E[0]=b,E[1]=re,E[2]=fe,E[3]=0,E[4]=z,E[5]=ae,E[6]=me,E[7]=0,E[8]=te,E[9]=se,E[10]=xe,E[11]=0,E[12]=-(b*ke+z*We+te*je),E[13]=-(re*ke+ae*We+se*je),E[14]=-(fe*ke+me*We+xe*je),E[15]=1,E)}function iL(E,a,y,x){var b=a[0],z=a[1],te=a[2],re=x[0],ae=x[1],se=x[2],fe=b-y[0],me=z-y[1],xe=te-y[2],Te=fe*fe+me*me+xe*xe;Te>0&&(Te=1/Math.sqrt(Te),fe*=Te,me*=Te,xe*=Te);var ke=ae*xe-se*me,We=se*fe-re*xe,je=re*me-ae*fe;return Te=ke*ke+We*We+je*je,Te>0&&(Te=1/Math.sqrt(Te),ke*=Te,We*=Te,je*=Te),E[0]=ke,E[1]=We,E[2]=je,E[3]=0,E[4]=me*je-xe*We,E[5]=xe*ke-fe*je,E[6]=fe*We-me*ke,E[7]=0,E[8]=fe,E[9]=me,E[10]=xe,E[11]=0,E[12]=b,E[13]=z,E[14]=te,E[15]=1,E}function oL(E){return"mat4("+E[0]+", "+E[1]+", "+E[2]+", "+E[3]+", "+E[4]+", "+E[5]+", "+E[6]+", "+E[7]+", "+E[8]+", "+E[9]+", "+E[10]+", "+E[11]+", "+E[12]+", "+E[13]+", "+E[14]+", "+E[15]+")"}function sL(E){return Math.hypot(E[0],E[1],E[2],E[3],E[4],E[5],E[6],E[7],E[8],E[9],E[10],E[11],E[12],E[13],E[14],E[15])}function lL(E,a,y){return E[0]=a[0]+y[0],E[1]=a[1]+y[1],E[2]=a[2]+y[2],E[3]=a[3]+y[3],E[4]=a[4]+y[4],E[5]=a[5]+y[5],E[6]=a[6]+y[6],E[7]=a[7]+y[7],E[8]=a[8]+y[8],E[9]=a[9]+y[9],E[10]=a[10]+y[10],E[11]=a[11]+y[11],E[12]=a[12]+y[12],E[13]=a[13]+y[13],E[14]=a[14]+y[14],E[15]=a[15]+y[15],E}function ZS(E,a,y){return E[0]=a[0]-y[0],E[1]=a[1]-y[1],E[2]=a[2]-y[2],E[3]=a[3]-y[3],E[4]=a[4]-y[4],E[5]=a[5]-y[5],E[6]=a[6]-y[6],E[7]=a[7]-y[7],E[8]=a[8]-y[8],E[9]=a[9]-y[9],E[10]=a[10]-y[10],E[11]=a[11]-y[11],E[12]=a[12]-y[12],E[13]=a[13]-y[13],E[14]=a[14]-y[14],E[15]=a[15]-y[15],E}function uL(E,a,y){return E[0]=a[0]*y,E[1]=a[1]*y,E[2]=a[2]*y,E[3]=a[3]*y,E[4]=a[4]*y,E[5]=a[5]*y,E[6]=a[6]*y,E[7]=a[7]*y,E[8]=a[8]*y,E[9]=a[9]*y,E[10]=a[10]*y,E[11]=a[11]*y,E[12]=a[12]*y,E[13]=a[13]*y,E[14]=a[14]*y,E[15]=a[15]*y,E}function cL(E,a,y,x){return E[0]=a[0]+y[0]*x,E[1]=a[1]+y[1]*x,E[2]=a[2]+y[2]*x,E[3]=a[3]+y[3]*x,E[4]=a[4]+y[4]*x,E[5]=a[5]+y[5]*x,E[6]=a[6]+y[6]*x,E[7]=a[7]+y[7]*x,E[8]=a[8]+y[8]*x,E[9]=a[9]+y[9]*x,E[10]=a[10]+y[10]*x,E[11]=a[11]+y[11]*x,E[12]=a[12]+y[12]*x,E[13]=a[13]+y[13]*x,E[14]=a[14]+y[14]*x,E[15]=a[15]+y[15]*x,E}function q1(E,a){return E[0]===a[0]&&E[1]===a[1]&&E[2]===a[2]&&E[3]===a[3]&&E[4]===a[4]&&E[5]===a[5]&&E[6]===a[6]&&E[7]===a[7]&&E[8]===a[8]&&E[9]===a[9]&&E[10]===a[10]&&E[11]===a[11]&&E[12]===a[12]&&E[13]===a[13]&&E[14]===a[14]&&E[15]===a[15]}function dL(E,a){var y=E[0],x=E[1],b=E[2],z=E[3],te=E[4],re=E[5],ae=E[6],se=E[7],fe=E[8],me=E[9],xe=E[10],Te=E[11],ke=E[12],We=E[13],je=E[14],Ke=E[15],Qe=a[0],Je=a[1],rt=a[2],ot=a[3],ut=a[4],ft=a[5],lt=a[6],Dt=a[7],Bt=a[8],Vt=a[9],Xt=a[10],vn=a[11],on=a[12],wn=a[13],qn=a[14],yn=a[15];return 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this.type=y,this.type===Xs.EXPLORING?this.setWorldRotation(!0):this.setWorldRotation(!1),this._getAngles(),this.type===Xs.TRACKING&&x!==void 0&&this.setTrackingMode(x),this}},{key:"setProjectionMode",value:function(y){return this.projectionMode=y,this}},{key:"setTrackingMode",value:function(y){if(this.type!==Xs.TRACKING)throw new Error("Impossible to set a tracking mode if the camera is not of tracking type");return this.trackingMode=y,this}},{key:"setWorldRotation",value:function(y){return this.rotateWorld=y,this._getAngles(),this}},{key:"getViewTransform",value:function(){return Uu(Pi(),this.matrix)}},{key:"getWorldTransform",value:function(){return this.matrix}},{key:"jitterProjectionMatrix",value:function(y,x){var b=Jf(Pi(),[y,x,0]);this.jitteredProjectionMatrix=Wu(Pi(),b,this.projectionMatrix)}},{key:"clearJitterProjectionMatrix",value:function(){this.jitteredProjectionMatrix=void 0}},{key:"setMatrix",value:function(y){return this.matrix=y,this._update(),this}},{key:"setProjectionMatrix",value:function(y){this.projectionMatrix=y}},{key:"setFov",value:function(y){return this.setPerspective(this.near,this.far,y,this.aspect),this}},{key:"setAspect",value:function(y){return this.setPerspective(this.near,this.far,this.fov,y),this}},{key:"setNear",value:function(y){return this.projectionMode===rd.PERSPECTIVE?this.setPerspective(y,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,y,this.far),this}},{key:"setFar",value:function(y){return this.projectionMode===rd.PERSPECTIVE?this.setPerspective(this.near,y,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,y),this}},{key:"setViewOffset",value:function(y,x,b,z,te,re){return this.aspect=y/x,this.view===void 0&&(this.view={enabled:!0,fullWidth:1,fullHeight:1,offsetX:0,offsetY:0,width:1,height:1}),this.view.enabled=!0,this.view.fullWidth=y,this.view.fullHeight=x,this.view.offsetX=b,this.view.offsetY=z,this.view.width=te,this.view.height=re,this.projectionMode===rd.PERSPECTIVE?this.setPerspective(this.near,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far),this}},{key:"clearViewOffset",value:function(){return this.view!==void 0&&(this.view.enabled=!1),this.projectionMode===rd.PERSPECTIVE?this.setPerspective(this.near,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far),this}},{key:"setZoom",value:function(y){return this.zoom=y,this.projectionMode===rd.ORTHOGRAPHIC?this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far):this.projectionMode===rd.PERSPECTIVE&&this.setPerspective(this.near,this.far,this.fov,this.aspect),this}},{key:"setZoomByViewportPoint",value:function(y,x){var b=this.canvas.viewport2Canvas({x:x[0],y:x[1]}),z=b.x,te=b.y,re=this.roll;this.rotate(0,0,-re),this.setPosition(z,te),this.setFocalPoint(z,te),this.setZoom(y),this.rotate(0,0,re);var ae=this.canvas.viewport2Canvas({x:x[0],y:x[1]}),se=ae.x,fe=ae.y,me=qi(se-z,fe-te,0),xe=qu(me,this.right)/Io(this.right),Te=qu(me,this.up)/Io(this.up),ke=this.getPosition(),We=(0,Wn.Z)(ke,2),je=We[0],Ke=We[1],Qe=this.getFocalPoint(),Je=(0,Wn.Z)(Qe,2),rt=Je[0],ot=Je[1];return this.setPosition(je-xe,Ke-Te),this.setFocalPoint(rt-xe,ot-Te),this}},{key:"setPerspective",value:function(y,x,b,z){var te;this.projectionMode=rd.PERSPECTIVE,this.fov=b,this.near=y,this.far=x,this.aspect=z;var re=this.near*Math.tan(Ys(.5*this.fov))/this.zoom,ae=2*re,se=this.aspect*ae,fe=-.5*se;if((te=this.view)!==null&&te!==void 0&&te.enabled){var me=this.view.fullWidth,xe=this.view.fullHeight;fe+=this.view.offsetX*se/me,re-=this.view.offsetY*ae/xe,se*=this.view.width/me,ae*=this.view.height/xe}return KO(this.projectionMatrix,fe,fe+se,re-ae,re,y,this.far,this.clipSpaceNearZ===ym.ZERO),Uu(this.projectionMatrixInverse,this.projectionMatrix),this.triggerUpdate(),this}},{key:"setOrthographic",value:function(y,x,b,z,te,re){var ae;this.projectionMode=rd.ORTHOGRAPHIC,this.rright=x,this.left=y,this.top=b,this.bottom=z,this.near=te,this.far=re;var se=(this.rright-this.left)/(2*this.zoom),fe=(this.top-this.bottom)/(2*this.zoom),me=(this.rright+this.left)/2,xe=(this.top+this.bottom)/2,Te=me-se,ke=me+se,We=xe+fe,je=xe-fe;if((ae=this.view)!==null&&ae!==void 0&&ae.enabled){var 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z=BE.now(),te=x.createPointerEvent(b,void 0,void 0,x.context.config.alwaysTriggerPointerEventOnCanvas?x.rootTarget:void 0);if(x.dispatchEvent(te,"pointerup"),te.pointerType==="touch")x.dispatchEvent(te,"touchend");else if(te.pointerType==="mouse"||te.pointerType==="pen"){var re=te.button===2;x.dispatchEvent(te,re?"rightup":"mouseup")}var ae=x.trackingData(b.pointerId),se=x.findMountedTarget(ae.pressTargetsByButton[b.button]),fe=se;if(se&&!te.composedPath().includes(se)){for(var me=se;me&&!te.composedPath().includes(me);){if(te.currentTarget=me,x.notifyTarget(te,"pointerupoutside"),te.pointerType==="touch")x.notifyTarget(te,"touchendoutside");else if(te.pointerType==="mouse"||te.pointerType==="pen"){var xe=te.button===2;x.notifyTarget(te,xe?"rightupoutside":"mouseupoutside")}yl.isNode(me)&&(me=me.parentNode)}delete ae.pressTargetsByButton[b.button],fe=me}if(fe){var Te,ke=x.clonePointerEvent(te,"click");ke.target=fe,ke.path=[],ae.clicksByButton[b.button]||(ae.clicksByButton[b.button]={clickCount:0,target:ke.target,timeStamp:z});var We=x.context.renderingContext.root.ownerDocument.defaultView,je=ae.clicksByButton[b.button];je.target===ke.target&&z-je.timeStamp<We.getConfig().dblClickSpeed?++je.clickCount:je.clickCount=1,je.target=ke.target,je.timeStamp=z,ke.detail=je.clickCount,(Te=te.detail)!==null&&Te!==void 0&&Te.preventClick||(!x.context.config.useNativeClickEvent&&(ke.pointerType==="mouse"||ke.pointerType==="touch")&&x.dispatchEvent(ke,"click"),x.dispatchEvent(ke,"pointertap")),x.freeEvent(ke)}x.freeEvent(te)},this.onPointerMove=function(b){var z=x.createPointerEvent(b,void 0,void 0,x.context.config.alwaysTriggerPointerEventOnCanvas?x.rootTarget:void 0),te=z.pointerType==="mouse"||z.pointerType==="pen",re=x.trackingData(b.pointerId),ae=x.findMountedTarget(re.overTargets);if(re.overTargets&&ae!==z.target){var se=b.type==="mousemove"?"mouseout":"pointerout",fe=x.createPointerEvent(b,se,ae||void 0);if(x.dispatchEvent(fe,"pointerout"),te&&x.dispatchEvent(fe,"mouseout"),!z.composedPath().includes(ae)){var me=x.createPointerEvent(b,"pointerleave",ae||void 0);for(me.eventPhase=me.AT_TARGET;me.target&&!z.composedPath().includes(me.target);)me.currentTarget=me.target,x.notifyTarget(me),te&&x.notifyTarget(me,"mouseleave"),yl.isNode(me.target)&&(me.target=me.target.parentNode);x.freeEvent(me)}x.freeEvent(fe)}if(ae!==z.target){var xe=b.type==="mousemove"?"mouseover":"pointerover",Te=x.clonePointerEvent(z,xe);x.dispatchEvent(Te,"pointerover"),te&&x.dispatchEvent(Te,"mouseover");for(var ke=ae&&yl.isNode(ae)&&ae.parentNode;ke&&ke!==(yl.isNode(x.rootTarget)&&x.rootTarget.parentNode)&&ke!==z.target;)ke=ke.parentNode;var We=!ke||ke===(yl.isNode(x.rootTarget)&&x.rootTarget.parentNode);if(We){var je=x.clonePointerEvent(z,"pointerenter");for(je.eventPhase=je.AT_TARGET;je.target&&je.target!==ae&&je.target!==(yl.isNode(x.rootTarget)&&x.rootTarget.parentNode);)je.currentTarget=je.target,x.notifyTarget(je),te&&x.notifyTarget(je,"mouseenter"),yl.isNode(je.target)&&(je.target=je.target.parentNode);x.freeEvent(je)}x.freeEvent(Te)}x.dispatchEvent(z,"pointermove"),z.pointerType==="touch"&&x.dispatchEvent(z,"touchmove"),te&&(x.dispatchEvent(z,"mousemove"),x.cursor=x.getCursor(z.target)),re.overTargets=z.composedPath(),x.freeEvent(z)},this.onPointerOut=function(b){var z=x.trackingData(b.pointerId);if(z.overTargets){var te=b.pointerType==="mouse"||b.pointerType==="pen",re=x.findMountedTarget(z.overTargets),ae=x.createPointerEvent(b,"pointerout",re||void 0);x.dispatchEvent(ae),te&&x.dispatchEvent(ae,"mouseout");var se=x.createPointerEvent(b,"pointerleave",re||void 0);for(se.eventPhase=se.AT_TARGET;se.target&&se.target!==(yl.isNode(x.rootTarget)&&x.rootTarget.parentNode);)se.currentTarget=se.target,x.notifyTarget(se),te&&x.notifyTarget(se,"mouseleave"),yl.isNode(se.target)&&(se.target=se.target.parentNode);z.overTargets=null,x.freeEvent(ae),x.freeEvent(se)}x.cursor=null},this.onPointerOver=function(b){var z=x.trackingData(b.pointerId),te=x.createPointerEvent(b),re=te.pointerType==="mouse"||te.pointerType==="pen";x.dispatchEvent(te,"pointerover"),re&&x.dispatchEvent(te,"mouseover"),te.pointerType==="mouse"&&(x.cursor=x.getCursor(te.target));var ae=x.clonePointerEvent(te,"pointerenter");for(ae.eventPhase=ae.AT_TARGET;ae.target&&ae.target!==(yl.isNode(x.rootTarget)&&x.rootTarget.parentNode);)ae.currentTarget=ae.target,x.notifyTarget(ae),re&&x.notifyTarget(ae,"mouseenter"),yl.isNode(ae.target)&&(ae.target=ae.target.parentNode);z.overTargets=te.composedPath(),x.freeEvent(te),x.freeEvent(ae)},this.onPointerUpOutside=function(b){var z=x.trackingData(b.pointerId),te=x.findMountedTarget(z.pressTargetsByButton[b.button]),re=x.createPointerEvent(b);if(te){for(var ae=te;ae;)re.currentTarget=ae,x.notifyTarget(re,"pointerupoutside"),re.pointerType==="touch"||(re.pointerType==="mouse"||re.pointerType==="pen")&&x.notifyTarget(re,re.button===2?"rightupoutside":"mouseupoutside"),yl.isNode(ae)&&(ae=ae.parentNode);delete z.pressTargetsByButton[b.button]}x.freeEvent(re)},this.onWheel=function(b){var z=x.createWheelEvent(b);x.dispatchEvent(z),x.freeEvent(z)},this.onClick=function(b){if(x.context.config.useNativeClickEvent){var z=x.createPointerEvent(b);x.dispatchEvent(z),x.freeEvent(z)}},this.onPointerCancel=function(b){var z=x.createPointerEvent(b,void 0,void 0,x.context.config.alwaysTriggerPointerEventOnCanvas?x.rootTarget:void 0);x.dispatchEvent(z),x.freeEvent(z)},this.globalRuntime=a,this.context=y}return(0,$n.Z)(E,[{key:"init",value:function(){this.rootTarget=this.context.renderingContext.root.parentNode,this.addEventMapping("pointerdown",this.onPointerDown),this.addEventMapping("pointerup",this.onPointerUp),this.addEventMapping("pointermove",this.onPointerMove),this.addEventMapping("pointerout",this.onPointerOut),this.addEventMapping("pointerleave",this.onPointerOut),this.addEventMapping("pointercancel",this.onPointerCancel),this.addEventMapping("pointerover",this.onPointerOver),this.addEventMapping("pointerupoutside",this.onPointerUpOutside),this.addEventMapping("wheel",this.onWheel),this.addEventMapping("click",this.onClick)}},{key:"destroy",value:function(){this.mappingTable={},this.mappingState={},this.eventPool.clear()}},{key:"getScale",value:function(){var y=this.context.contextService.getBoundingClientRect(),x=1,b=1,z=this.context.contextService.getDomElement();if(z&&y){var te=z.offsetWidth,re=z.offsetHeight;te&&re&&(x=y.width/te,b=y.height/re)}return{scaleX:x,scaleY:b,bbox:y}}},{key:"client2Viewport",value:function(y){var x=this.getScale(),b=x.scaleX,z=x.scaleY,te=x.bbox;return new Mu((y.x-((te==null?void 0:te.left)||0))/b,(y.y-((te==null?void 0:te.top)||0))/z)}},{key:"viewport2Client",value:function(y){var x=this.getScale(),b=x.scaleX,z=x.scaleY,te=x.bbox;return new Mu((y.x+((te==null?void 0:te.left)||0))*b,(y.y+((te==null?void 0:te.top)||0))*z)}},{key:"viewport2Canvas",value:function(y){var x=y.x,b=y.y,z=this.rootTarget.defaultView,te=z.getCamera(),re=this.context.config,ae=re.width,se=re.height,fe=te.getPerspectiveInverse(),me=te.getWorldTransform(),xe=Wu(this.tmpMatrix,me,fe),Te=Yo(this.tmpVec3,x/ae*2-1,(1-b/se)*2-1,0);return ll(Te,Te,xe),new Mu(Te[0],Te[1])}},{key:"canvas2Viewport",value:function(y){var x=this.rootTarget.defaultView,b=x.getCamera(),z=b.getPerspective(),te=b.getViewTransform(),re=Wu(this.tmpMatrix,z,te),ae=Yo(this.tmpVec3,y.x,y.y,0);ll(this.tmpVec3,this.tmpVec3,re);var se=this.context.config,fe=se.width,me=se.height;return new Mu((ae[0]+1)/2*fe,(1-(ae[1]+1)/2)*me)}},{key:"setPickHandler",value:function(y){this.pickHandler=y}},{key:"addEventMapping",value:function(y,x){this.mappingTable[y]||(this.mappingTable[y]=[]),this.mappingTable[y].push({fn:x,priority:0}),this.mappingTable[y].sort(function(b,z){return b.priority-z.priority})}},{key:"mapEvent",value:function(y){if(this.rootTarget){var x=this.mappingTable[y.type];if(x)for(var b=0,z=x.length;b<z;b++)x[b].fn(y);else console.warn("[EventService]: Event mapping not defined for ".concat(y.type))}}},{key:"dispatchEvent",value:function(y,x,b){if(!b)y.propagationStopped=!1,y.propagationImmediatelyStopped=!1,this.propagate(y,x);else{y.eventPhase=y.AT_TARGET;var z=this.rootTarget.defaultView||null;y.currentTarget=z,this.notifyListeners(y,x)}}},{key:"propagate",value:function(y,x){if(y.target){var b=y.composedPath();y.eventPhase=y.CAPTURING_PHASE;for(var z=b.length-1;z>=1;z--)if(y.currentTarget=b[z],this.notifyTarget(y,x),y.propagationStopped||y.propagationImmediatelyStopped)return;if(y.eventPhase=y.AT_TARGET,y.currentTarget=y.target,this.notifyTarget(y,x),!(y.propagationStopped||y.propagationImmediatelyStopped)){var te=b.indexOf(y.currentTarget);y.eventPhase=y.BUBBLING_PHASE;for(var re=te+1;re<b.length;re++)if(y.currentTarget=b[re],this.notifyTarget(y,x),y.propagationStopped||y.propagationImmediatelyStopped)return}}}},{key:"propagationPath",value:function(y){var x=[y],b=this.rootTarget.defaultView||null;if(b&&b===y)return x.unshift(b.document),x;for(var z=0;z<E6&&y!==this.rootTarget;z++)yl.isNode(y)&&y.parentNode&&(x.push(y.parentNode),y=y.parentNode);return b&&x.push(b),x}},{key:"hitTest",value:function(y){var x=y.viewportX,b=y.viewportY,z=this.context.config,te=z.width,re=z.height,ae=z.disableHitTesting;return x<0||b<0||x>te||b>re?null:!ae&&this.pickHandler(y)||this.rootTarget||null}},{key:"isNativeEventFromCanvas",value:function(y,x){var b,z=x==null?void 0:x.target;if((b=z)!==null&&b!==void 0&&b.shadowRoot&&(z=x.composedPath()[0]),z){if(z===y)return!0;if(y&&y.contains)return y.contains(z)}return x!=null&&x.composedPath?x.composedPath().indexOf(y)>-1:!1}},{key:"getExistedHTML",value:function(y){if(y.nativeEvent.composedPath)for(var x=0,b=y.nativeEvent.composedPath();x<b.length;x++){var z=b[x],te=this.nativeHTMLMap.get(z);if(te)return te}return null}},{key:"pickTarget",value:function(y){return this.hitTest({clientX:y.clientX,clientY:y.clientY,viewportX:y.viewportX,viewportY:y.viewportY,x:y.canvasX,y:y.canvasY})}},{key:"createPointerEvent",value:function(y,x,b,z){var te=this.allocateEvent(Nm);this.copyPointerData(y,te),this.copyMouseData(y,te),this.copyData(y,te),te.nativeEvent=y.nativeEvent,te.originalEvent=y;var re=this.getExistedHTML(te),ae=this.context.contextService.getDomElement();return te.target=b!=null?b:re||this.isNativeEventFromCanvas(ae,te.nativeEvent)&&this.pickTarget(te)||z,typeof x=="string"&&(te.type=x),te}},{key:"createWheelEvent",value:function(y){var x=this.allocateEvent(FE);this.copyWheelData(y,x),this.copyMouseData(y,x),this.copyData(y,x),x.nativeEvent=y.nativeEvent,x.originalEvent=y;var b=this.getExistedHTML(x),z=this.context.contextService.getDomElement();return x.target=b||this.isNativeEventFromCanvas(z,x.nativeEvent)&&this.pickTarget(x),x}},{key:"trackingData",value:function(y){return this.mappingState.trackingData[y]||(this.mappingState.trackingData[y]={pressTargetsByButton:{},clicksByButton:{},overTarget:null}),this.mappingState.trackingData[y]}},{key:"cloneWheelEvent",value:function(y){var x=this.allocateEvent(FE);return x.nativeEvent=y.nativeEvent,x.originalEvent=y.originalEvent,this.copyWheelData(y,x),this.copyMouseData(y,x),this.copyData(y,x),x.target=y.target,x.path=y.composedPath().slice(),x.type=y.type,x}},{key:"clonePointerEvent",value:function(y,x){var b=this.allocateEvent(Nm);return b.nativeEvent=y.nativeEvent,b.originalEvent=y.originalEvent,this.copyPointerData(y,b),this.copyMouseData(y,b),this.copyData(y,b),b.target=y.target,b.path=y.composedPath().slice(),b.type=x!=null?x:b.type,b}},{key:"copyPointerData",value:function(y,x){x.pointerId=y.pointerId,x.width=y.width,x.height=y.height,x.isPrimary=y.isPrimary,x.pointerType=y.pointerType,x.pressure=y.pressure,x.tangentialPressure=y.tangentialPressure,x.tiltX=y.tiltX,x.tiltY=y.tiltY,x.twist=y.twist}},{key:"copyMouseData",value:function(y,x){x.altKey=y.altKey,x.button=y.button,x.buttons=y.buttons,x.ctrlKey=y.ctrlKey,x.metaKey=y.metaKey,x.shiftKey=y.shiftKey,x.client.copyFrom(y.client),x.movement.copyFrom(y.movement),x.canvas.copyFrom(y.canvas),x.screen.copyFrom(y.screen),x.global.copyFrom(y.global),x.offset.copyFrom(y.offset)}},{key:"copyWheelData",value:function(y,x){x.deltaMode=y.deltaMode,x.deltaX=y.deltaX,x.deltaY=y.deltaY,x.deltaZ=y.deltaZ}},{key:"copyData",value:function(y,x){x.isTrusted=y.isTrusted,x.timeStamp=BE.now(),x.type=y.type,x.detail=y.detail,x.view=y.view,x.page.copyFrom(y.page),x.viewport.copyFrom(y.viewport)}},{key:"allocateEvent",value:function(y){this.eventPool.has(y)||this.eventPool.set(y,[]);var x=this.eventPool.get(y).pop()||new y(this);return x.eventPhase=x.NONE,x.currentTarget=null,x.path=[],x.target=null,x}},{key:"freeEvent",value:function(y){if(y.manager!==this)throw new Error("It is illegal to free an event not managed by this EventBoundary!");var x=y.constructor;this.eventPool.has(x)||this.eventPool.set(x,[]),this.eventPool.get(x).push(y)}},{key:"notifyTarget",value:function(y,x){x=x!=null?x:y.type;var b=y.eventPhase===y.CAPTURING_PHASE||y.eventPhase===y.AT_TARGET?"".concat(x,"capture"):x;this.notifyListeners(y,b),y.eventPhase===y.AT_TARGET&&this.notifyListeners(y,x)}},{key:"notifyListeners",value:function(y,x){var b=y.currentTarget.emitter,z=b._events[x];if(z)if("fn"in z)z.once&&b.removeListener(x,z.fn,void 0,!0),z.fn.call(y.currentTarget||z.context,y);else for(var te=0;te<z.length&&!y.propagationImmediatelyStopped;te++)z[te].once&&b.removeListener(x,z[te].fn,void 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window.OffscreenCanvas(0,0),this.context=this.canvas.getContext("2d",(0,Cr.Z)({willReadFrequently:!0},x)),(!this.context||!this.context.measureText)&&(this.canvas=document.createElement("canvas"),this.context=this.canvas.getContext("2d"))}catch(b){this.canvas=document.createElement("canvas"),this.context=this.canvas.getContext("2d",(0,Cr.Z)({willReadFrequently:!0},x))}return this.canvas.width=10,this.canvas.height=10,this.canvas}},{key:"getOrCreateContext",value:function(y,x){return this.context?this.context:(this.getOrCreateCanvas(y,x),this.context)}}],[{key:"createCanvas",value:function(){try{return new window.OffscreenCanvas(0,0)}catch(y){}try{return document.createElement("canvas")}catch(y){}return null}}])}(),i0=function(E){return E[E.CAMERA_CHANGED=0]="CAMERA_CHANGED",E[E.DISPLAY_OBJECT_CHANGED=1]="DISPLAY_OBJECT_CHANGED",E[E.NONE=2]="NONE",E}({}),x6=function(){function E(a,y){(0,Ar.Z)(this,E),this.inited=!1,this.stats={total:0,rendered:0},this.zIndexCounter=0,this.hooks={init:new tc,initAsync:new qB,dirtycheck:new RE,cull:new RE,beginFrame:new tc,beforeRender:new tc,render:new tc,afterRender:new tc,endFrame:new tc,destroy:new tc,pick:new $B,pickSync:new RE,pointerDown:new tc,pointerUp:new tc,pointerMove:new tc,pointerOut:new tc,pointerOver:new tc,pointerWheel:new tc,pointerCancel:new tc,click:new tc},this.globalRuntime=a,this.context=y}return(0,$n.Z)(E,[{key:"init",value:function(y){var x=this,b=(0,Cr.Z)((0,Cr.Z)({},this.globalRuntime),this.context);this.context.renderingPlugins.forEach(function(z){z.apply(b,x.globalRuntime)}),this.hooks.init.call(),this.hooks.initAsync.getCallbacksNum()===0?(this.inited=!0,y()):this.hooks.initAsync.promise().then(function(){x.inited=!0,y()}).catch(function(z){})}},{key:"getStats",value:function(){return this.stats}},{key:"disableDirtyRectangleRendering",value:function(){var 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b=this.parsedStyle,z=b.markerStart,te=b.markerEnd,re=b.markerStartOffset,ae=b.markerEndOffset,se=b.points,fe=se||{},me=fe.points,xe=x?z:te;if(!(!xe||!Os(xe)||!me)){var Te=0,ke,We,je,Ke,Qe,Je;if(je=me[0][0],Ke=me[0][1],x)ke=me[1][0]-me[0][0],We=me[1][1]-me[0][1],Qe=re||0,Je=this.markerStartAngle;else{var rt=me.length;this.parsedStyle.isClosed?(ke=me[rt-1][0]-me[0][0],We=me[rt-1][1]-me[0][1]):(je=me[rt-1][0],Ke=me[rt-1][1],ke=me[rt-2][0]-me[rt-1][0],We=me[rt-2][1]-me[rt-1][1]),Qe=ae||0,Je=this.markerEndAngle}Te=Math.atan2(We,ke),xe.setLocalEulerAngles(Te*180/Math.PI+Je),xe.setLocalPosition(je+Math.cos(Te)*Qe,Ke+Math.sin(Te)*Qe)}}},{key:"placeMarkerMid",value:function(x){var b=this.parsedStyle.points,z=b||{},te=z.points;if(this.markerMidList.forEach(function(me){me.remove()}),this.markerMidList=[],x&&Os(x)&&te)for(var re=1;re<(this.parsedStyle.isClosed?te.length:te.length-1);re++){var 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y=a.name,x=a.inherits,b=a.interpolable,z=a.initialValue,te=a.syntax;Ga.styleValueRegistry.registerMetadata({n:y,inh:x,int:b,d:z,syntax:te})},registerLayout:function(a,y){Ga.layoutRegistry.registerLayout(a,y)}},yP=function(E){function a(){var y;(0,Ar.Z)(this,a),y=Tr(this,a),y.defaultView=null,y.ownerDocument=null,y.nodeName="document";try{y.timeline=new Ga.AnimationTimeline(y)}catch(b){}var x={};return IE.forEach(function(b){var z=b.n,te=b.inh,re=b.d;te&&re&&(x[z]=Gi(re)?re(la.GROUP):re)}),y.documentElement=new lu({id:"g-root",style:x}),y.documentElement.ownerDocument=y,y.documentElement.parentNode=y,y.childNodes=[y.documentElement],y}return(0,da.Z)(a,E),(0,$n.Z)(a,[{key:"children",get:function(){return this.childNodes}},{key:"childElementCount",get:function(){return this.childNodes.length}},{key:"firstElementChild",get:function(){return this.firstChild}},{key:"lastElementChild",get:function(){return this.lastChild}},{key:"createElement",value:function(x,b){if(x==="svg")return this.documentElement;var z=this.defaultView.customElements.get(x);z||(console.warn("Unsupported tagName: ",x),z=x==="tspan"?dg:lu);var te=new z(b);return te.ownerDocument=this,te}},{key:"createElementNS",value:function(x,b,z){return this.createElement(b,z)}},{key:"cloneNode",value:function(x){throw new Error(Qs)}},{key:"destroy",value:function(){try{this.documentElement.destroyChildren(),this.timeline.destroy()}catch(x){}}},{key:"elementsFromBBox",value:function(x,b,z,te){var re=this.defaultView.context.rBushRoot,ae=re.search({minX:x,minY:b,maxX:z,maxY:te}),se=[];return ae.forEach(function(fe){var me=fe.displayObject,xe=me.parsedStyle.pointerEvents,Te=xe===void 0?"auto":xe,ke=["auto","visiblepainted","visiblefill","visiblestroke","visible"].includes(Te);(!ke||ke&&me.isVisible())&&!me.isCulled()&&me.isInteractive()&&se.push(me)}),se.sort(function(fe,me){return me.sortable.renderOrder-fe.sortable.renderOrder}),se}},{key:"elementFromPointSync",value:function(x,b){var z=this.defaultView.canvas2Viewport({x,y:b}),te=z.x,re=z.y,ae=this.defaultView.getConfig(),se=ae.width,fe=ae.height;if(te<0||re<0||te>se||re>fe)return null;var me=this.defaultView.viewport2Client({x:te,y:re}),xe=me.x,Te=me.y,ke=this.defaultView.getRenderingService().hooks.pickSync.call({topmost:!0,position:{x,y:b,viewportX:te,viewportY:re,clientX:xe,clientY:Te},picked:[]}),We=ke.picked;return We&&We[0]||this.documentElement}},{key:"elementFromPoint",value:function(){var y=(0,th.Z)((0,Gu.Z)().mark(function b(z,te){var re,ae,se,fe,me,xe,Te,ke,We,je,Ke;return(0,Gu.Z)().wrap(function(Je){for(;;)switch(Je.prev=Je.next){case 0:if(re=this.defaultView.canvas2Viewport({x:z,y:te}),ae=re.x,se=re.y,fe=this.defaultView.getConfig(),me=fe.width,xe=fe.height,!(ae<0||se<0||ae>me||se>xe)){Je.next=4;break}return Je.abrupt("return",null);case 4:return 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y=(0,th.Z)((0,Gu.Z)().mark(function b(z,te){var re,ae,se,fe,me,xe,Te,ke,We,je,Ke;return(0,Gu.Z)().wrap(function(Je){for(;;)switch(Je.prev=Je.next){case 0:if(re=this.defaultView.canvas2Viewport({x:z,y:te}),ae=re.x,se=re.y,fe=this.defaultView.getConfig(),me=fe.width,xe=fe.height,!(ae<0||se<0||ae>me||se>xe)){Je.next=4;break}return Je.abrupt("return",[]);case 4:return Te=this.defaultView.viewport2Client({x:ae,y:se}),ke=Te.x,We=Te.y,Je.next=7,this.defaultView.getRenderingService().hooks.pick.promise({topmost:!1,position:{x:z,y:te,viewportX:ae,viewportY:se,clientX:ke,clientY:We},picked:[]});case 7:return je=Je.sent,Ke=je.picked,Ke[Ke.length-1]!==this.documentElement&&Ke.push(this.documentElement),Je.abrupt("return",Ke);case 11:case"end":return Je.stop()}},b,this)}));function x(b,z){return y.apply(this,arguments)}return x}()},{key:"appendChild",value:function(x,b){throw new Error(e0)}},{key:"insertBefore",value:function(x,b){throw new Error(e0)}},{key:"removeChild",value:function(x,b){throw new Error(e0)}},{key:"replaceChild",value:function(x,b,z){throw new Error(e0)}},{key:"append",value:function(){throw new Error(e0)}},{key:"prepend",value:function(){throw new Error(e0)}},{key:"getElementById",value:function(x){return this.documentElement.getElementById(x)}},{key:"getElementsByName",value:function(x){return this.documentElement.getElementsByName(x)}},{key:"getElementsByTagName",value:function(x){return this.documentElement.getElementsByTagName(x)}},{key:"getElementsByClassName",value:function(x){return this.documentElement.getElementsByClassName(x)}},{key:"querySelector",value:function(x){return this.documentElement.querySelector(x)}},{key:"querySelectorAll",value:function(x){return this.documentElement.querySelectorAll(x)}},{key:"find",value:function(x){return this.documentElement.find(x)}},{key:"findAll",value:function(x){return this.documentElement.findAll(x)}}])}(yl),EP=function(){function E(a){(0,Ar.Z)(this,E),this.strategies=a}return(0,$n.Z)(E,[{key:"apply",value:function(y){var x=y.camera,b=y.renderingService,z=y.renderingContext,te=this.strategies;b.hooks.cull.tap(E.tag,function(re){if(re){var ae=re.cullable;return te.length===0?ae.visible=z.unculledEntities.indexOf(re.entity)>-1:ae.visible=te.every(function(se){return se.isVisible(x,re)}),!re.isCulled()&&re.isVisible()?re:(re.dispatchEvent(new $l(is.CULLED)),null)}return re}),b.hooks.afterRender.tap(E.tag,function(re){re.cullable.visibilityPlaneMask=-1})}}])}();EP.tag="Culling";var AP=function(){function E(){var a=this;(0,Ar.Z)(this,E),this.autoPreventDefault=!1,this.rootPointerEvent=new Nm(null),this.rootWheelEvent=new FE(null),this.onPointerMove=function(y){var x,b=(x=a.context.renderingContext.root)===null||x===void 0||(x=x.ownerDocument)===null||x===void 0?void 0:x.defaultView;if(!(b.supportsTouchEvents&&y.pointerType==="touch")){var z=a.normalizeToPointerEvent(y,b),te=$h(z),re;try{for(te.s();!(re=te.n()).done;){var ae=re.value,se=a.bootstrapEvent(a.rootPointerEvent,ae,b,y);a.context.eventService.mapEvent(se)}}catch(fe){te.e(fe)}finally{te.f()}a.setCursor(a.context.eventService.cursor)}},this.onClick=function(y){var x,b=(x=a.context.renderingContext.root)===null||x===void 0||(x=x.ownerDocument)===null||x===void 0?void 0:x.defaultView,z=a.normalizeToPointerEvent(y,b),te=$h(z),re;try{for(te.s();!(re=te.n()).done;){var ae=re.value,se=a.bootstrapEvent(a.rootPointerEvent,ae,b,y);a.context.eventService.mapEvent(se)}}catch(fe){te.e(fe)}finally{te.f()}a.setCursor(a.context.eventService.cursor)}}return(0,$n.Z)(E,[{key:"apply",value:function(y){var x=this;this.context=y;var b=y.renderingService,z=this.context.renderingContext.root.ownerDocument.defaultView;this.context.eventService.setPickHandler(function(te){var re=x.context.renderingService.hooks.pickSync.call({position:te,picked:[],topmost:!0}),ae=re.picked;return 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Te=xe.value,ke=x.bootstrapEvent(x.rootPointerEvent,Te,z,te);ke.type+=se,x.context.eventService.mapEvent(ke)}}catch(We){me.e(We)}finally{me.f()}x.setCursor(x.context.eventService.cursor)}}),b.hooks.pointerMove.tap(E.tag,this.onPointerMove),b.hooks.pointerOver.tap(E.tag,this.onPointerMove),b.hooks.pointerOut.tap(E.tag,this.onPointerMove),b.hooks.click.tap(E.tag,this.onClick),b.hooks.pointerCancel.tap(E.tag,function(te){var re=x.normalizeToPointerEvent(te,z),ae=$h(re),se;try{for(ae.s();!(se=ae.n()).done;){var fe=se.value,me=x.bootstrapEvent(x.rootPointerEvent,fe,z,te);x.context.eventService.mapEvent(me)}}catch(xe){ae.e(xe)}finally{ae.f()}x.setCursor(x.context.eventService.cursor)})}},{key:"bootstrapEvent",value:function(y,x,b,z){y.view=b,y.originalEvent=null,y.nativeEvent=z,y.pointerId=x.pointerId,y.width=x.width,y.height=x.height,y.isPrimary=x.isPrimary,y.pointerType=x.pointerType,y.pressure=x.pressure,y.tangentialPressure=x.tangentialPressure,y.tiltX=x.tiltX,y.tiltY=x.tiltY,y.twist=x.twist,this.transferMouseData(y,x);var te=this.context.eventService.client2Viewport({x:x.clientX,y:x.clientY}),re=te.x,ae=te.y;y.viewport.x=re,y.viewport.y=ae;var se=this.context.eventService.viewport2Canvas(y.viewport),fe=se.x,me=se.y;return y.canvas.x=fe,y.canvas.y=me,y.global.copyFrom(y.canvas),y.offset.copyFrom(y.canvas),y.isTrusted=z.isTrusted,y.type==="pointerleave"&&(y.type="pointerout"),y.type.startsWith("mouse")&&(y.type=y.type.replace("mouse","pointer")),y.type.startsWith("touch")&&(y.type=jB[y.type]||y.type),y}},{key:"normalizeWheelEvent",value:function(y){var x=this.rootWheelEvent;this.transferMouseData(x,y),x.deltaMode=y.deltaMode,x.deltaX=y.deltaX,x.deltaY=y.deltaY,x.deltaZ=y.deltaZ;var b=this.context.eventService.client2Viewport({x:y.clientX,y:y.clientY}),z=b.x,te=b.y;x.viewport.x=z,x.viewport.y=te;var re=this.context.eventService.viewport2Canvas(x.viewport),ae=re.x,se=re.y;return x.canvas.x=ae,x.canvas.y=se,x.global.copyFrom(x.canvas),x.offset.copyFrom(x.canvas),x.nativeEvent=y,x.type=y.type,x}},{key:"transferMouseData",value:function(y,x){y.isTrusted=x.isTrusted,y.srcElement=x.srcElement,y.timeStamp=BE.now(),y.type=x.type,y.altKey=x.altKey,y.metaKey=x.metaKey,y.shiftKey=x.shiftKey,y.ctrlKey=x.ctrlKey,y.button=x.button,y.buttons=x.buttons,y.client.x=x.clientX,y.client.y=x.clientY,y.movement.x=x.movementX,y.movement.y=x.movementY,y.page.x=x.pageX,y.page.y=x.pageY,y.screen.x=x.screenX,y.screen.y=x.screenY,y.relatedTarget=null}},{key:"setCursor",value:function(y){this.context.contextService.applyCursorStyle(y||this.context.config.cursor||"default")}},{key:"normalizeToPointerEvent",value:function(y,x){var b=[];if(x.isTouchEvent(y))for(var z=0;z<y.changedTouches.length;z++){var te=y.changedTouches[z];Lo(te.button)&&(te.button=0),Lo(te.buttons)&&(te.buttons=1),Lo(te.isPrimary)&&(te.isPrimary=y.touches.length===1&&y.type==="touchstart"),Lo(te.width)&&(te.width=te.radiusX||1),Lo(te.height)&&(te.height=te.radiusY||1),Lo(te.tiltX)&&(te.tiltX=0),Lo(te.tiltY)&&(te.tiltY=0),Lo(te.pointerType)&&(te.pointerType="touch"),Lo(te.pointerId)&&(te.pointerId=te.identifier||0),Lo(te.pressure)&&(te.pressure=te.force||.5),Lo(te.twist)&&(te.twist=0),Lo(te.tangentialPressure)&&(te.tangentialPressure=0),te.isNormalized=!0,te.type=y.type,b.push(te)}else if(x.isMouseEvent(y)){var re=y;Lo(re.isPrimary)&&(re.isPrimary=!0),Lo(re.width)&&(re.width=1),Lo(re.height)&&(re.height=1),Lo(re.tiltX)&&(re.tiltX=0),Lo(re.tiltY)&&(re.tiltY=0),Lo(re.pointerType)&&(re.pointerType="mouse"),Lo(re.pointerId)&&(re.pointerId=WB),Lo(re.pressure)&&(re.pressure=.5),Lo(re.twist)&&(re.twist=0),Lo(re.tangentialPressure)&&(re.tangentialPressure=0),re.isNormalized=!0,b.push(re)}else b.push(y);return b}}])}();AP.tag="Event";var iN=[la.CIRCLE,la.ELLIPSE,la.IMAGE,la.RECT,la.LINE,la.POLYLINE,la.POLYGON,la.TEXT,la.PATH,la.HTML],oN=function(){function E(){(0,Ar.Z)(this,E)}return(0,$n.Z)(E,[{key:"isVisible",value:function(y,x){var b,z=x.cullable;if(!z.enable)return!0;var te=x.getRenderBounds();if(il.isEmpty(te))return!1;var re=y.getFrustum(),ae=(b=x.parentNode)===null||b===void 0||(b=b.cullable)===null||b===void 0?void 0:b.visibilityPlaneMask;return z.visibilityPlaneMask=this.computeVisibilityWithPlaneMask(x,te,ae||qg.INDETERMINATE,re.planes),z.visible=z.visibilityPlaneMask!==qg.OUTSIDE,z.visible}},{key:"computeVisibilityWithPlaneMask",value:function(y,x,b,z){if(b===qg.OUTSIDE||b===qg.INSIDE)return b;for(var te=qg.INSIDE,re=iN.indexOf(y.nodeName)>-1,ae=0,se=z.length;ae<se;++ae){var fe=1<<ae;if(b&fe&&!(re&&(ae===4||ae===5))){var me=z[ae],xe=me.normal,Te=me.distance;if(qu(xe,x.getPositiveFarPoint(z[ae]))+Te<0)return qg.OUTSIDE;qu(xe,x.getNegativeFarPoint(z[ae]))+Te<0&&(te|=fe)}}return te}}])}(),xP=function(){function E(){(0,Ar.Z)(this,E),this.syncTasks=new Map,this.isFirstTimeRendering=!0,this.syncing=!1,this.isFirstTimeRenderingFinished=!1}return(0,$n.Z)(E,[{key:"apply",value:function(y){var x=this,b,z=y.renderingService,te=y.renderingContext,re=y.rBushRoot,ae=te.root.ownerDocument.defaultView;this.rBush=re;var se=function(We){var je=We.target;je.renderable.dirty=!0,z.dirtify()},fe=function(We){x.syncTasks.set(We.target,We.detail.affectChildren),z.dirtify()},me=function(We){var je=We.target;Ga.enableSizeAttenuation&&Ga.styleValueRegistry.updateSizeAttenuation(je,ae.getCamera().getZoom())},xe=function(We){var je=We.target,Ke=je.rBushNode;Ke.aabb&&x.rBush.remove(Ke.aabb),x.syncTasks.delete(je),Ga.sceneGraphService.dirtifyToRoot(je),z.dirtify()};z.hooks.init.tap(E.tag,function(){ae.addEventListener(is.MOUNTED,me),ae.addEventListener(is.UNMOUNTED,xe),ae.addEventListener(is.ATTR_MODIFIED,se),ae.addEventListener(is.BOUNDS_CHANGED,fe)}),z.hooks.destroy.tap(E.tag,function(){ae.removeEventListener(is.MOUNTED,me),ae.removeEventListener(is.UNMOUNTED,xe),ae.removeEventListener(is.ATTR_MODIFIED,se),ae.removeEventListener(is.BOUNDS_CHANGED,fe),x.syncTasks.clear()});var Te=(b=Ga.globalThis.requestIdleCallback)!==null&&b!==void 0?b:NE.bind(Ga.globalThis);z.hooks.endFrame.tap(E.tag,function(){x.isFirstTimeRendering?(x.isFirstTimeRendering=!1,x.syncing=!0,Te(function(){x.syncRTree(!0),x.isFirstTimeRenderingFinished=!0})):x.syncRTree()})}},{key:"syncNode",value:function(y){var x=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;if(y.isConnected){var b=y.rBushNode;b.aabb&&this.rBush.remove(b.aabb);var z=y.getRenderBounds();if(z){var te=y.renderable;x&&(te.dirtyRenderBounds||(te.dirtyRenderBounds=new il),te.dirtyRenderBounds.update(z.center,z.halfExtents));var re=z.getMin(),ae=(0,Wn.Z)(re,2),se=ae[0],fe=ae[1],me=z.getMax(),xe=(0,Wn.Z)(me,2),Te=xe[0],ke=xe[1];b.aabb||(b.aabb={}),b.aabb.displayObject=y,b.aabb.minX=se,b.aabb.minY=fe,b.aabb.maxX=Te,b.aabb.maxY=ke}if(b.aabb&&!isNaN(b.aabb.maxX)&&!isNaN(b.aabb.maxX)&&!isNaN(b.aabb.minX)&&!isNaN(b.aabb.minY))return b.aabb}}},{key:"syncRTree",value:function(){var y=this,x=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!1;if(!(!x&&(this.syncing||this.syncTasks.size===0))){this.syncing=!0;var b=[],z=new Set,te=function(ae){if(!z.has(ae)&&ae.renderable){var se=y.syncNode(ae,x);se&&(b.push(se),z.add(ae))}};this.syncTasks.forEach(function(re,ae){re&&ae.forEach(te);for(var se=ae;se;)te(se),se=se.parentElement}),this.rBush.load(b),b.length=0,this.syncing=!1}}}])}();xP.tag="Prepare";function NY(E){return!!E.document}var _c=function(E){return E.READY="ready",E.BEFORE_RENDER="beforerender",E.RERENDER="rerender",E.AFTER_RENDER="afterrender",E.BEFORE_DESTROY="beforedestroy",E.AFTER_DESTROY="afterdestroy",E.RESIZE="resize",E.DIRTY_RECTANGLE="dirtyrectangle",E.RENDERER_CHANGED="rendererchanged",E}({}),SP=500,sN=.1,lN=1e3,zm=new $l(is.MOUNTED),Um=new $l(is.UNMOUNTED),GE=new $l(_c.BEFORE_RENDER),bP=new $l(_c.RERENDER),VE=new $l(_c.AFTER_RENDER),HE=function(E){function a(y){var x;(0,Ar.Z)(this,a),x=Tr(this,a),x.Element=ul,x.inited=!1,x.context={};var b=y.container,z=y.canvas,te=y.renderer,re=y.width,ae=y.height,se=y.background,fe=y.cursor,me=y.supportsMutipleCanvasesInOneContainer,xe=y.cleanUpOnDestroy,Te=xe===void 0?!0:xe,ke=y.offscreenCanvas,We=y.devicePixelRatio,je=y.requestAnimationFrame,Ke=y.cancelAnimationFrame,Qe=y.createImage,Je=y.supportsTouchEvents,rt=y.supportsPointerEvents,ot=y.isTouchEvent,ut=y.isMouseEvent,ft=y.dblClickSpeed,lt=re,Dt=ae,Bt=We||TE&&window.devicePixelRatio||1;return Bt=Bt>=1?Math.ceil(Bt):1,z&&(lt=re||zB(z)||z.width/Bt,Dt=ae||UB(z)||z.height/Bt),x.customElements=new aN,x.devicePixelRatio=Bt,x.requestAnimationFrame=je!=null?je:NE.bind(Ga.globalThis),x.cancelAnimationFrame=Ke!=null?Ke:oP.bind(Ga.globalThis),x.supportsTouchEvents=Je!=null?Je:"ontouchstart"in Ga.globalThis,x.supportsPointerEvents=rt!=null?rt:!!Ga.globalThis.PointerEvent,x.isTouchEvent=ot!=null?ot:function(Vt){return x.supportsTouchEvents&&Vt instanceof Ga.globalThis.TouchEvent},x.isMouseEvent=ut!=null?ut:function(Vt){return!Ga.globalThis.MouseEvent||Vt instanceof Ga.globalThis.MouseEvent&&(!x.supportsPointerEvents||!(Vt instanceof Ga.globalThis.PointerEvent))},ke&&(Ga.offscreenCanvas=ke),x.document=new yP,x.document.defaultView=x,me||RB(b,x,Te),x.initRenderingContext((0,Cr.Z)((0,Cr.Z)({},y),{},{width:lt,height:Dt,background:se!=null?se:"transparent",cursor:fe!=null?fe:"default",cleanUpOnDestroy:Te,devicePixelRatio:Bt,requestAnimationFrame:x.requestAnimationFrame,cancelAnimationFrame:x.cancelAnimationFrame,supportsTouchEvents:x.supportsTouchEvents,supportsPointerEvents:x.supportsPointerEvents,isTouchEvent:x.isTouchEvent,isMouseEvent:x.isMouseEvent,dblClickSpeed:ft!=null?ft:200,createImage:Qe!=null?Qe:function(){return new window.Image}})),x.initDefaultCamera(lt,Dt,te.clipSpaceNearZ),x.initRenderer(te,!0),x}return(0,da.Z)(a,E),(0,$n.Z)(a,[{key:"initRenderingContext",value:function(x){this.context.config=x,this.context.renderingContext={root:this.document.documentElement,renderListCurrentFrame:[],unculledEntities:[],renderReasons:new Set,force:!1,dirty:!1}}},{key:"initDefaultCamera",value:function(x,b,z){var te=this,re=new Ga.CameraContribution;re.clipSpaceNearZ=z,re.setType(Xs.EXPLORING,hE.DEFAULT).setPosition(x/2,b/2,SP).setFocalPoint(x/2,b/2,0).setOrthographic(x/-2,x/2,b/2,b/-2,sN,lN),re.canvas=this,re.eventEmitter.on(fC.UPDATED,function(){te.context.renderingContext.renderReasons.add(i0.CAMERA_CHANGED),Ga.enableSizeAttenuation&&te.getConfig().renderer.getConfig().enableSizeAttenuation&&te.updateSizeAttenuation()}),this.context.camera=re}},{key:"updateSizeAttenuation",value:function(){var x=this.getCamera().getZoom();this.document.documentElement.forEach(function(b){Ga.styleValueRegistry.updateSizeAttenuation(b,x)})}},{key:"getConfig",value:function(){return this.context.config}},{key:"getRoot",value:function(){return this.document.documentElement}},{key:"getCamera",value:function(){return this.context.camera}},{key:"getContextService",value:function(){return this.context.contextService}},{key:"getEventService",value:function(){return this.context.eventService}},{key:"getRenderingService",value:function(){return this.context.renderingService}},{key:"getRenderingContext",value:function(){return this.context.renderingContext}},{key:"getStats",value:function(){return this.getRenderingService().getStats()}},{key:"ready",get:function(){var x=this;return this.readyPromise||(this.readyPromise=new Promise(function(b){x.resolveReadyPromise=function(){b(x)}}),this.inited&&this.resolveReadyPromise()),this.readyPromise}},{key:"destroy",value:function(){var x=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!0,b=arguments.length>1?arguments[1]:void 0;ql.clearCache(),b||this.dispatchEvent(new $l(_c.BEFORE_DESTROY)),this.frameId&&this.cancelAnimationFrame(this.frameId);var z=this.getRoot();x&&(this.unmountChildren(z),this.document.destroy(),this.getEventService().destroy()),this.getRenderingService().destroy(),this.getContextService().destroy(),this.context.rBushRoot&&this.context.rBushRoot.clear(),b||this.dispatchEvent(new $l(_c.AFTER_DESTROY));var te=function(ae){ae.currentTarget=null,ae.manager=null,ae.target=null,ae.relatedNode=null};te(zm),te(Um),te(GE),te(bP),te(VE),te(rf),te(UE),te(WE),te(pP)}},{key:"changeSize",value:function(x,b){this.resize(x,b)}},{key:"resize",value:function(x,b){var z=this.context.config;z.width=x,z.height=b,this.getContextService().resize(x,b);var te=this.context.camera,re=te.getProjectionMode();te.setPosition(x/2,b/2,SP).setFocalPoint(x/2,b/2,0),re===rd.ORTHOGRAPHIC?te.setOrthographic(x/-2,x/2,b/2,b/-2,te.getNear(),te.getFar()):te.setAspect(x/b),this.dispatchEvent(new $l(_c.RESIZE,{width:x,height:b}))}},{key:"appendChild",value:function(x,b){return this.document.documentElement.appendChild(x,b)}},{key:"insertBefore",value:function(x,b){return this.document.documentElement.insertBefore(x,b)}},{key:"removeChild",value:function(x){return this.document.documentElement.removeChild(x)}},{key:"removeChildren",value:function(){this.document.documentElement.removeChildren()}},{key:"destroyChildren",value:function(){this.document.documentElement.destroyChildren()}},{key:"render",value:function(x){var b=this;x&&(GE.detail=x,VE.detail=x),this.dispatchEvent(GE);var z=this.getRenderingService();z.render(this.getConfig(),x,function(){b.dispatchEvent(bP)}),this.dispatchEvent(VE)}},{key:"run",value:function(){var x=this,b=function(te,re){x.render(re),x.frameId=x.requestAnimationFrame(b)};b()}},{key:"initRenderer",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;if(!x)throw new Error("Renderer is required.");this.inited=!1,this.readyPromise=void 0,this.context.rBushRoot=new TO,this.context.renderingPlugins=[],this.context.renderingPlugins.push(new AP,new xP,new EP([new oN])),this.loadRendererContainerModule(x),this.context.contextService=new this.context.ContextService((0,Cr.Z)((0,Cr.Z)({},Ga),this.context)),this.context.renderingService=new x6(Ga,this.context),this.context.eventService=new A6(Ga,this.context),this.context.eventService.init(),this.context.contextService.init?(this.context.contextService.init(),this.initRenderingService(x,z,!0)):this.context.contextService.initAsync().then(function(){b.initRenderingService(x,z)}).catch(function(te){console.error(te)})}},{key:"initRenderingService",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,te=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!1;this.context.renderingService.init(function(){b.inited=!0,z?te?b.requestAnimationFrame(function(){b.dispatchEvent(new $l(_c.READY))}):b.dispatchEvent(new $l(_c.READY)):b.dispatchEvent(new $l(_c.RENDERER_CHANGED)),b.readyPromise&&b.resolveReadyPromise(),z||b.getRoot().forEach(function(re){var ae=re,se=ae.renderable;se&&(se.renderBoundsDirty=!0,se.boundsDirty=!0,se.dirty=!0)}),b.mountChildren(b.getRoot()),x.getConfig().enableAutoRendering&&b.run()})}},{key:"loadRendererContainerModule",value:function(x){var b=this,z=x.getPlugins();z.forEach(function(te){te.context=b.context,te.init(Ga)})}},{key:"setRenderer",value:function(x){var b=this.getConfig();if(b.renderer!==x){var z=b.renderer;b.renderer=x,this.destroy(!1,!0),(0,va.Z)((z==null?void 0:z.getPlugins())||[]).reverse().forEach(function(te){te.destroy(Ga)}),this.initRenderer(x)}}},{key:"setCursor",value:function(x){var b=this.getConfig();b.cursor=x,this.getContextService().applyCursorStyle(x)}},{key:"unmountChildren",value:function(x){var b=this;x.childNodes.forEach(function(z){b.unmountChildren(z)}),this.inited&&(x.isMutationObserved?x.dispatchEvent(Um):(Um.target=x,this.dispatchEvent(Um,!0)),x!==this.document.documentElement&&(x.ownerDocument=null),x.isConnected=!1),x.isCustomElement&&x.disconnectedCallback&&x.disconnectedCallback()}},{key:"mountChildren",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:Tm(x);this.inited?x.isConnected||(x.ownerDocument=this.document,x.isConnected=!0,z||(x.isMutationObserved?x.dispatchEvent(zm):(zm.target=x,this.dispatchEvent(zm,!0)))):console.warn("[g]: You are trying to call `canvas.appendChild` before canvas' initialization finished. You can either await `canvas.ready` or listen to `CanvasEvent.READY` manually.","appended child: ",x.nodeName),x.childNodes.forEach(function(te){b.mountChildren(te,z)}),x.isCustomElement&&x.connectedCallback&&x.connectedCallback()}},{key:"mountFragment",value:function(x){this.mountChildren(x,!1)}},{key:"client2Viewport",value:function(x){return this.getEventService().client2Viewport(x)}},{key:"viewport2Client",value:function(x){return this.getEventService().viewport2Client(x)}},{key:"viewport2Canvas",value:function(x){return this.getEventService().viewport2Canvas(x)}},{key:"canvas2Viewport",value:function(x){return this.getEventService().canvas2Viewport(x)}},{key:"getPointByClient",value:function(x,b){return this.client2Viewport({x,y:b})}},{key:"getClientByPoint",value:function(x,b){return this.viewport2Client({x,y:b})}}])}(dP);var uN=function(E){function a(){var y;(0,Ar.Z)(this,a);for(var x=arguments.length,b=new Array(x),z=0;z<x;z++)b[z]=arguments[z];return y=Tr(this,a,[].concat(b)),y.landmarks=[],y}return(0,da.Z)(a,E),(0,$n.Z)(a,[{key:"rotate",value:function(x,b,z){if(this.relElevation=t0(b),this.relAzimuth=t0(x),this.relRoll=t0(z),this.elevation+=this.relElevation,this.azimuth+=this.relAzimuth,this.roll+=this.relRoll,this.type===Xs.EXPLORING){var te=qf(su(),[1,0,0],Ys((this.rotateWorld?1:-1)*this.relElevation)),re=qf(su(),[0,1,0],Ys((this.rotateWorld?1:-1)*this.relAzimuth)),ae=qf(su(),[0,0,1],Ys(this.relRoll)),se=$f(su(),re,te);se=$f(su(),se,ae);var fe=J1(Pi(),se);Qg(this.matrix,this.matrix,[0,0,-this.distance]),Wu(this.matrix,this.matrix,fe),Qg(this.matrix,this.matrix,[0,0,this.distance])}else{if(Math.abs(this.elevation)>90)return this;this.computeMatrix()}return this._getAxes(),this.type===Xs.ORBITING||this.type===Xs.EXPLORING?this._getPosition():this.type===Xs.TRACKING&&this._getFocalPoint(),this._update(),this}},{key:"pan",value:function(x,b){var z=ec(x,b,0),te=ao(this.position);return fs(te,te,us(ni(),this.right,z[0])),fs(te,te,us(ni(),this.up,z[1])),this._setPosition(te),this.triggerUpdate(),this}},{key:"dolly",value:function(x){var b=this.forward,z=ao(this.position),te=x*this.dollyingStep,re=this.distance+x*this.dollyingStep;return te=Math.max(Math.min(re,this.maxDistance),this.minDistance)-this.distance,z[0]+=te*b[0],z[1]+=te*b[1],z[2]+=te*b[2],this._setPosition(z),this.type===Xs.ORBITING||this.type===Xs.EXPLORING?this._getDistance():this.type===Xs.TRACKING&&fs(this.focalPoint,z,this.distanceVector),this.triggerUpdate(),this}},{key:"cancelLandmarkAnimation",value:function(){this.landmarkAnimationID!==void 0&&this.canvas.cancelAnimationFrame(this.landmarkAnimationID)}},{key:"createLandmark",value:function(x){var b,z,te,re,ae=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},se=ae.position,fe=se===void 0?this.position:se,me=ae.focalPoint,xe=me===void 0?this.focalPoint:me,Te=ae.roll,ke=ae.zoom,We=new Ga.CameraContribution;We.setType(this.type,void 0),We.setPosition(fe[0],(b=fe[1])!==null&&b!==void 0?b:this.position[1],(z=fe[2])!==null&&z!==void 0?z:this.position[2]),We.setFocalPoint(xe[0],(te=xe[1])!==null&&te!==void 0?te:this.focalPoint[1],(re=xe[2])!==null&&re!==void 0?re:this.focalPoint[2]),We.setRoll(Te!=null?Te:this.roll),We.setZoom(ke!=null?ke:this.zoom);var je={name:x,matrix:ys(We.getWorldTransform()),right:ao(We.right),up:ao(We.up),forward:ao(We.forward),position:ao(We.getPosition()),focalPoint:ao(We.getFocalPoint()),distanceVector:ao(We.getDistanceVector()),distance:We.getDistance(),dollyingStep:We.getDollyingStep(),azimuth:We.getAzimuth(),elevation:We.getElevation(),roll:We.getRoll(),relAzimuth:We.relAzimuth,relElevation:We.relElevation,relRoll:We.relRoll,zoom:We.getZoom()};return this.landmarks.push(je),je}},{key:"gotoLandmark",value:function(x){var b=this,z=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},te=Ls(x)?this.landmarks.find(function(Vt){return Vt.name===x}):x;if(te){var re=Oi(z)?{duration:z}:z,ae=re.easing,se=ae===void 0?"linear":ae,fe=re.duration,me=fe===void 0?100:fe,xe=re.easingFunction,Te=xe===void 0?void 0:xe,ke=re.onfinish,We=ke===void 0?void 0:ke,je=re.onframe,Ke=je===void 0?void 0:je,Qe=.01;this.cancelLandmarkAnimation();var Je=te.position,rt=te.focalPoint,ot=te.zoom,ut=te.roll,ft=Te||Ga.EasingFunction(se),lt,Dt=function(){b.setFocalPoint(rt),b.setPosition(Je),b.setRoll(ut),b.setZoom(ot),b.computeMatrix(),b.triggerUpdate(),We==null||We()};if(me===0)return Dt();var Bt=function(Xt){lt===void 0&&(lt=Xt);var vn=Xt-lt;if(vn>=me){Dt();return}var on=ft(vn/me),wn=ni(),qn=ni(),yn=1,En=0;zh(wn,b.focalPoint,rt,on),zh(qn,b.position,Je,on),En=b.roll*(1-on)+ut*on,yn=b.zoom*(1-on)+ot*on,b.setFocalPoint(wn),b.setPosition(qn),b.setRoll(En),b.setZoom(yn);var Pn=Af(wn,rt)+Af(qn,Je);if(Pn<=Qe&&ot===void 0&&ut===void 0)return 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xn=Qe[Pn.clusterId],yr=0,na,ea=ot[or]/(2*ft),jr=0,Or=xn.nodes;Or.forEach(function(Ji){var lo=Je[Ji.id].idx;jr+=rt[or][lo]||0});var Yr=jr-xn.sumTot*ea,fa=Or.filter(function(Ji){return Ji.id!==Pn.id}),Ia=[];fa.forEach(function(Ji,lo){Ia[lo]=ke[Ji.originIndex]});var oi=pA(fa,ke)*se,Eo=ut[Pn.id];if(Object.keys(Eo).forEach(function(Ji){var lo=Je[Ji].node,Xo=lo.clusterId;if(Xo!==Pn.clusterId){var Oo=Qe[Xo],si=Oo.nodes;if(!(!si||!si.length)){var Di=0;si.forEach(function(oo){var Ui=Je[oo.id].idx;Di+=rt[or][Ui]||0});var ya=Di-Oo.sumTot*ea,La=si.concat([Pn]),Ya=[];La.forEach(function(oo,Ui){Ya[Ui]=ke[oo.originIndex]});var zi=pA(La,ke)*se,Ca=ya-Yr;z&&(Ca=ya+zi-(Yr+oi)),Ca>yr&&(yr=Ca,na=Oo)}}}),yr>0){na.nodes.push(Pn);var to=Pn.clusterId;Pn.clusterId=na.id;var ri=xn.nodes.indexOf(Pn);xn.nodes.splice(ri,1);var Qi=0,Ri=0;Te.forEach(function(Ji){var lo=Ji.source,Xo=Ji.target,Oo=Je[lo].node.clusterId,si=Je[Xo].node.clusterId;(Oo===na.id&&si!==na.id||si===na.id&&Oo!==na.id)&&(Qi=Qi+(Ji[x]||1)),(Oo===to&&si!==to||si===to&&Oo!==to)&&(Ri=Ri+(Ji[x]||1))}),na.sumTot=Qi,xn.sumTot=Ri}})}var on={},wn=0;Object.keys(Xt).forEach(function(Pn){var or=Xt[Pn];if(!or.nodes||!or.nodes.length){delete Xt[Pn];return}var xn=String(wn+1);xn!==Pn&&(or.id=xn,or.nodes=or.nodes.map(function(yr){return{id:yr.id,clusterId:xn}}),Xt[xn]=or,on[Pn]=xn,delete Xt[Pn],wn++)}),Vt.forEach(function(Pn){var or=Pn.node,xn=Pn.clusterId;or&&(or.clusterId=xn,or.clusterId&&on[or.clusterId]&&(or.clusterId=on[or.clusterId]))});var qn=[],yn={};Te.forEach(function(Pn){var or=Pn.source,xn=Pn.target,yr=Pn[x]||1,na=Je[or].node.clusterId,ea=Je[xn].node.clusterId;if(!(!na||!ea)){var jr="".concat(na,"---").concat(ea);if(yn[jr])yn[jr].weight+=yr,yn[jr].count++;else{var Or={source:na,target:ea,weight:yr,count:1};yn[jr]=Or,qn.push(Or)}}});var En=[];return 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a===0?null:Math.floor((a-1)/2)},E.prototype.isEmpty=function(){return this.list.length<=0},E.prototype.top=function(){return this.isEmpty()?void 0:this.list[0]},E.prototype.delMin=function(){var a=this.top(),y=this.list.pop();return this.list.length>0&&(this.list[0]=y,this.moveDown(0)),a},E.prototype.insert=function(a){if(a!==null){this.list.push(a);var y=this.list.length-1;return this.moveUp(y),!0}return!1},E.prototype.moveUp=function(a){for(var y=this.getParent(a);a&&a>0&&this.compareFn(this.list[y],this.list[a])>0;){var x=this.list[y];this.list[y]=this.list[a],this.list[a]=x,a=y,y=this.getParent(a)}},E.prototype.moveDown=function(a){var y,x=a,b=this.getLeft(a),z=this.getRight(a),te=this.list.length;b!==null&&b<te&&this.compareFn(this.list[x],this.list[b])>0?x=b:z!==null&&z<te&&this.compareFn(this.list[x],this.list[z])>0&&(x=z),a!==x&&(y=[this.list[x],this.list[a]],this.list[a]=y[0],this.list[x]=y[1],this.moveDown(x))},E}(),N4=B4,R4=function(a,y){var x=[],b=a.nodes,z=b===void 0?[]:b,te=a.edges,re=te===void 0?[]:te;if(z.length===0)return x;var ae=z[0],se=new Set;se.add(ae);var fe=function(je,Ke){return y?je.weight-Ke.weight:0},me=new N4(fe);for(lp(ae.id,re).forEach(function(We){me.insert(We)});!me.isEmpty();){var xe=me.delMin(),Te=xe.source,ke=xe.target;se.has(Te)&&se.has(ke)||(x.push(xe),se.has(Te)||(se.add(Te),lp(Te,re).forEach(function(We){me.insert(We)})),se.has(ke)||(se.add(ke),lp(ke,re).forEach(function(We){me.insert(We)})))}return x},E2=function(a,y){var x=[],b=a.nodes,z=b===void 0?[]:b,te=a.edges,re=te===void 0?[]:te;if(z.length===0)return x;var ae=re.map(function(Te){return Te});y&&ae.sort(function(Te,ke){return Te.weight-ke.weight});for(var se=new O4(z.map(function(Te){return Te.id}));ae.length>0;){var fe=ae.shift(),me=fe.source,xe=fe.target;se.connected(me,xe)||(x.push(fe),se.union(me,xe))}return x},_4=function(a,y,x){var b={prim:R4,kruskal:E2};return x?b[x](a,y):E2(a,y)},F4=_4,k4=function(a,y,x){typeof y!="number"&&(y=1e-6),typeof x!="number"&&(x=.85);for(var b=1,z=0,te=1e3,re=a.nodes,ae=re===void 0?[]:re,se=a.edges,fe=se===void 0?[]:se,me=ae.length,xe,Te={},ke={},We=0;We<me;++We){var je=ae[We],Ke=je.id;Te[Ke]=1/me,ke[Ke]=1/me}for(var Qe=sA(a);te>0&&b>y;){z=0;for(var We=0;We<me;++We){var je=ae[We],Ke=je.id;if(xe=0,Qe[je.id].inDegree===0)Te[Ke]=0;else{for(var Je=ud(Ke,fe,"source"),rt=0;rt<Je.length;++rt){var ot=Je[rt],ut=Qe[ot].outDegree;ut>0&&(xe+=ke[ot]/ut)}Te[Ke]=x*xe,z+=Te[Ke]}}z=(1-z)/me,b=0;for(var We=0;We<me;++We){var je=ae[We],Ke=je.id;xe=Te[Ke]+z,b+=Math.abs(xe-ke[Ke]),ke[Ke]=xe}te-=1}return ke},A2=k4,z4=-1,vp=-1,x2="-1",lf="-1",S2=-1,_J="-1",b2=function(){function E(a,y,x,b){a===void 0&&(a=z4),y===void 0&&(y=vp),x===void 0&&(x=vp),b===void 0&&(b=x2),this.id=a,this.from=y,this.to=x,this.label=b}return E}(),U4=function(){function E(a,y){a===void 0&&(a=vp),y===void 0&&(y=lf),this.id=a,this.label=y,this.edges=[],this.edgeMap={}}return E.prototype.addEdge=function(a){this.edges.push(a),this.edgeMap[a.id]=a},E}(),C2=function(){function E(a,y,x){a===void 0&&(a=vp),y===void 0&&(y=!0),x===void 0&&(x=!1),this.id=a,this.edgeIdAutoIncrease=y,this.edges=[],this.nodes=[],this.nodeMap={},this.edgeMap={},this.nodeLabelMap={},this.edgeLabelMap={},this.counter=0,this.directed=x}return E.prototype.getNodeNum=function(){return this.nodes.length},E.prototype.addNode=function(a,y){if(!this.nodeMap[a]){var x=new U4(a,y);this.nodes.push(x),this.nodeMap[a]=x,this.nodeLabelMap[y]||(this.nodeLabelMap[y]=[]),this.nodeLabelMap[y].push(a)}},E.prototype.addEdge=function(a,y,x,b){if((this.edgeIdAutoIncrease||a===void 0)&&(a=this.counter++),!(this.nodeMap[y]&&this.nodeMap[x]&&this.nodeMap[x].edgeMap[a])){var z=new b2(a,y,x,b);if(this.edges.push(z),this.edgeMap[a]=z,this.nodeMap[y].addEdge(z),this.edgeLabelMap[b]||(this.edgeLabelMap[b]=[]),this.edgeLabelMap[b].push(z),!this.directed){var te=new b2(a,x,y,b);this.nodeMap[x].addEdge(te),this.edgeLabelMap[b].push(te)}}},E}(),gg=function(){function E(a,y,x,b,z){this.fromNode=a,this.toNode=y,this.nodeEdgeNodeLabel={nodeLabel1:x||lf,edgeLabel:b||x2,nodeLabel2:z||lf}}return E.prototype.equalTo=function(a){return this.fromNode===a.formNode&&this.toNode===a.toNode&&this.nodeEdgeNodeLabel===a.nodeEdgeNodeLabel},E.prototype.notEqualTo=function(a){return!this.equalTo(a)},E}(),P2=function(){function E(){this.rmpath=[],this.dfsEdgeList=[]}return E.prototype.equalTo=function(a){var y=this.dfsEdgeList.length,x=a.length;if(y!==x)return!1;for(var b=0;b<y;b++)if(this.dfsEdgeList[b]!==a[b])return!1;return!0},E.prototype.notEqualTo=function(a){return!this.equalTo(a)},E.prototype.pushBack=function(a,y,x,b,z){return this.dfsEdgeList.push(new gg(a,y,x,b,z)),this.dfsEdgeList},E.prototype.toGraph=function(a,y){a===void 0&&(a=S2),y===void 0&&(y=!1);var x=new C2(a,!0,y);return this.dfsEdgeList.forEach(function(b){var z=b.fromNode,te=b.toNode,re=b.nodeEdgeNodeLabel,ae=re.nodeLabel1,se=re.edgeLabel,fe=re.nodeLabel2;ae!==lf&&x.addNode(z,ae),fe!==lf&&x.addNode(te,fe),ae!==lf&&fe!==ae&&x.addEdge(void 0,z,te,se)}),x},E.prototype.buildRmpath=function(){this.rmpath=[];for(var a=void 0,y=this.dfsEdgeList.length,x=y-1;x>=0;x--){var b=this.dfsEdgeList[x],z=b.fromNode,te=b.toNode;z<te&&(a===void 0||te===a)&&(this.rmpath.push(x),a=z)}return this.rmpath},E.prototype.getNodeNum=function(){var a={};return this.dfsEdgeList.forEach(function(y){a[y.fromNode]||(a[y.fromNode]=!0),a[y.toNode]||(a[y.toNode]=!0)}),Object.keys(a).length},E}(),mp=function(){function E(a){if(this.his={},this.nodesUsed={},this.edgesUsed={},this.edges=[],!!a){for(;a;){var y=a.edge;this.edges.push(y),this.nodesUsed[y.from]=1,this.nodesUsed[y.to]=1,this.edgesUsed[y.id]=1,a=a.preNode}this.edges=this.edges.reverse()}}return E.prototype.hasNode=function(a){return this.nodesUsed[a.id]===1},E.prototype.hasEdge=function(a){return this.edgesUsed[a.id]===1},E}(),W4=function(){function E(a){var y=a.graphs,x=a.minSupport,b=x===void 0?2:x,z=a.minNodeNum,te=z===void 0?1:z,re=a.maxNodeNum,ae=re===void 0?4:re,se=a.top,fe=se===void 0?10:se,me=a.directed,xe=me===void 0?!1:me,Te=a.verbose,ke=Te===void 0?!1:Te;this.graphs=y,this.dfsCode=new P2,this.support=0,this.frequentSize1Subgraphs=[],this.frequentSubgraphs=[],this.minSupport=b,this.top=fe,this.directed=xe,this.counter=0,this.maxNodeNum=ae,this.minNodeNum=te,this.verbose=ke,this.maxNodeNum<this.minNodeNum&&(this.maxNodeNum=this.minNodeNum),this.reportDF=[]}return E.prototype.findForwardRootEdges=function(a,y){var x=this,b=[],z=a.nodeMap;return y.edges.forEach(function(te){(x.directed||y.label<=z[te.to].label)&&b.push(te)}),b},E.prototype.findBackwardEdge=function(a,y,x,b){if(!this.directed&&y===x)return null;for(var z=a.nodeMap,te=z[x.to],re=te.edges,ae=re.length,se=0;se<ae;se++){var fe=re[se];if(!(b.hasEdge(fe)||fe.to!==y.from)){if(this.directed){if(z[y.from].label<z[x.to].label||z[y.from].label===z[x.to].label&&y.label<=fe.label)return fe}else if(y.label<fe.label||y.label===fe.label&&z[y.to].label<=z[x.to].label)return fe}}return null},E.prototype.findForwardPureEdges=function(a,y,x,b){for(var z=[],te=y.to,re=a.nodeMap[te].edges,ae=re.length,se=0;se<ae;se++){var fe=re[se],me=a.nodeMap[fe.to];x<=me.label&&!b.hasNode(me)&&z.push(fe)}return z},E.prototype.findForwardRmpathEdges=function(a,y,x,b){for(var z=[],te=a.nodeMap,re=te[y.to].label,ae=te[y.from],se=ae.edges,fe=se.length,me=0;me<fe;me++){var xe=se[me],Te=te[xe.to].label;y.to===xe.to||x>Te||b.hasNode(te[xe.to])||(y.label<xe.label||y.label===xe.label&&re<=Te)&&z.push(xe)}return z},E.prototype.getSupport=function(a){var y={};return a.forEach(function(x){y[x.graphId]||(y[x.graphId]=!0)}),Object.keys(y).length},E.prototype.findMinLabel=function(a){var y=void 0;return Object.keys(a).forEach(function(x){var b=a[x],z=b.nodeLabel1,te=b.edgeLabel,re=b.nodeLabel2;if(!y){y={nodeLabel1:z,edgeLabel:te,nodeLabel2:re};return}(z<y.nodeLabel1||z===y.nodeLabel1&&te<y.edgeLabel||z===y.nodeLabel1&&te===y.edgeLabel&&re<y.nodeLabel2)&&(y={nodeLabel1:z,edgeLabel:te,nodeLabel2:re})}),y},E.prototype.isMin=function(){var a=this,y=this.dfsCode;if(this.verbose&&console.log("isMin checking",y),y.dfsEdgeList.length===1)return!0;var x=this.directed,b=y.toGraph(S2,x),z=b.nodeMap,te=new P2,re={};b.nodes.forEach(function(me){var xe=a.findForwardRootEdges(b,me);xe.forEach(function(Te){var ke=z[Te.to],We="".concat(me.label,"-").concat(Te.label,"-").concat(ke.label);re[We]||(re[We]={projected:[],nodeLabel1:me.label,edgeLabel:Te.label,nodeLabel2:ke.label});var je={graphId:b.id,edge:Te,preNode:null};re[We].projected.push(je)})});var ae=this.findMinLabel(re);if(ae){te.dfsEdgeList.push(new gg(0,1,ae.nodeLabel1,ae.edgeLabel,ae.nodeLabel2));var se=function me(xe){for(var Te=te.buildRmpath(),ke=te.dfsEdgeList[0].nodeEdgeNodeLabel.nodeLabel1,We=te.dfsEdgeList[Te[0]].toNode,je={},Ke=!1,Qe=0,Je=x?-1:0,rt=function(yn){if(Ke)return"break";xe.forEach(function(En){var Pn=new mp(En),or=a.findBackwardEdge(b,Pn.edges[Te[yn]],Pn.edges[Te[0]],Pn);or&&(je[or.label]||(je[or.label]={projected:[],edgeLabel:or.label}),je[or.label].projected.push({graphId:b.id,edge:je,preNode:En}),Qe=te.dfsEdgeList[Te[yn]].fromNode,Ke=!0)})},ot=Te.length-1;ot>Je;ot--){var ut=rt(ot);if(ut==="break")break}if(Ke){var ft=a.findMinLabel(je);te.dfsEdgeList.push(new gg(We,Qe,lf,ft.edgeLabel,lf));var lt=te.dfsEdgeList.length-1;return a.dfsCode.dfsEdgeList[lt]!==te.dfsEdgeList[lt]?!1:me(je[ft.edgeLabel].projected)}var Dt={};Ke=!1;var Bt=0;xe.forEach(function(qn){var yn=new mp(qn),En=a.findForwardPureEdges(b,yn.edges[Te[0]],ke,yn);En.length>0&&(Ke=!0,Bt=We,En.forEach(function(Pn){var or="".concat(Pn.label,"-").concat(z[Pn.to].label);Dt[or]||(Dt[or]={projected:[],edgeLabel:Pn.label,nodeLabel2:z[Pn.to].label}),Dt[or].projected.push({graphId:b.id,edge:Pn,preNode:qn})}))});for(var Vt=Te.length,Xt=function(yn){if(Ke)return"break";var En=Te[yn];xe.forEach(function(Pn){var or=new mp(Pn),xn=a.findForwardRmpathEdges(b,or.edges[En],ke,or);xn.length>0&&(Ke=!0,Bt=te.dfsEdgeList[En].fromNode,xn.forEach(function(yr){var na="".concat(yr.label,"-").concat(z[yr.to].label);Dt[na]||(Dt[na]={projected:[],edgeLabel:yr.label,nodeLabel2:z[yr.to].label}),Dt[na].projected.push({graphId:b.id,edge:yr,preNode:Pn})}))})},ot=0;ot<Vt;ot++){var vn=Xt(ot);if(vn==="break")break}if(!Ke)return!0;var on=a.findMinLabel(Dt);te.dfsEdgeList.push(new gg(Bt,We+1,lf,on.edgeLabel,on.nodeLabel2));var wn=te.dfsEdgeList.length-1;return y.dfsEdgeList[wn]!==te.dfsEdgeList[wn]?!1:me(Dt["".concat(on.edgeLabel,"-").concat(on.nodeLabel2)].projected)},fe="".concat(ae.nodeLabel1,"-").concat(ae.edgeLabel,"-").concat(ae.nodeLabel2);return se(re[fe].projected)}},E.prototype.report=function(){if(!(this.dfsCode.getNodeNum()<this.minNodeNum)){this.counter++;var a=this.dfsCode.toGraph(this.counter,this.directed);this.frequentSubgraphs.push(fv(a))}},E.prototype.subGraphMining=function(a){var y=this,x=this.getSupport(a);if(!(x<this.minSupport)&&this.isMin()){this.report();var b=this.dfsCode.getNodeNum(),z=this.dfsCode.buildRmpath(),te=this.dfsCode.dfsEdgeList[z[0]].toNode,re=this.dfsCode.dfsEdgeList[0].nodeEdgeNodeLabel.nodeLabel1,ae={},se={};a.forEach(function(fe){for(var me=y.graphs[fe.graphId],xe=me.nodeMap,Te=new mp(fe),ke=z.length-1;ke>=0;ke--){var We=y.findBackwardEdge(me,Te.edges[z[ke]],Te.edges[z[0]],Te);if(We){var je="".concat(y.dfsCode.dfsEdgeList[z[ke]].fromNode,"-").concat(We.label);se[je]||(se[je]={projected:[],toNodeId:y.dfsCode.dfsEdgeList[z[ke]].fromNode,edgeLabel:We.label}),se[je].projected.push({graphId:fe.graphId,edge:We,preNode:fe})}}if(!(b>=y.maxNodeNum)){var Ke=y.findForwardPureEdges(me,Te.edges[z[0]],re,Te);Ke.forEach(function(Je){var rt="".concat(te,"-").concat(Je.label,"-").concat(xe[Je.to].label);ae[rt]||(ae[rt]={projected:[],fromNodeId:te,edgeLabel:Je.label,nodeLabel2:xe[Je.to].label}),ae[rt].projected.push({graphId:fe.graphId,edge:Je,preNode:fe})});for(var Qe=function(rt){var ot=y.findForwardRmpathEdges(me,Te.edges[z[rt]],re,Te);ot.forEach(function(ut){var ft="".concat(y.dfsCode.dfsEdgeList[z[rt]].fromNode,"-").concat(ut.label,"-").concat(xe[ut.to].label);ae[ft]||(ae[ft]={projected:[],fromNodeId:y.dfsCode.dfsEdgeList[z[rt]].fromNode,edgeLabel:ut.label,nodeLabel2:xe[ut.to].label}),ae[ft].projected.push({graphId:fe.graphId,edge:ut,preNode:fe})})},ke=0;ke<z.length;ke++)Qe(ke)}}),Object.keys(se).forEach(function(fe){var me=se[fe],xe=me.toNodeId,Te=me.edgeLabel;y.dfsCode.dfsEdgeList.push(new gg(te,xe,"-1",Te,"-1")),y.subGraphMining(se[fe].projected),y.dfsCode.dfsEdgeList.pop()}),Object.keys(ae).forEach(function(fe){var me=ae[fe],xe=me.fromNodeId,Te=me.edgeLabel,ke=me.nodeLabel2;y.dfsCode.dfsEdgeList.push(new gg(xe,te+1,lf,Te,ke)),y.subGraphMining(ae[fe].projected),y.dfsCode.dfsEdgeList.pop()})}},E.prototype.generate1EdgeFrequentSubGraphs=function(){var a=this.graphs,y=this.directed,x=this.minSupport,b=this.frequentSize1Subgraphs,z={},te={},re={},ae={};return Object.keys(a).forEach(function(se){var fe=a[se],me=fe.nodeMap;fe.nodes.forEach(function(xe,Te){var ke=xe.label,We="".concat(se,"-").concat(ke);if(!re[We]){var je=z[ke]||0;je++,z[ke]=je}re[We]={graphKey:se,label:ke},xe.edges.forEach(function(Ke){var Qe=ke,Je=me[Ke.to].label;if(!y&&Qe>Je){var rt=Je;Je=Qe,Qe=rt}var ot=Ke.label,ut="".concat(se,"-").concat(Qe,"-").concat(ot,"-").concat(Je),ft="".concat(Qe,"-").concat(ot,"-").concat(Je);if(!te[ft]){var lt=te[ft]||0;lt++,te[ft]=lt}ae[ut]={graphId:se,nodeLabel1:Qe,edgeLabel:ot,nodeLabel2:Je}})})}),Object.keys(z).forEach(function(se){var fe=z[se];if(!(fe<x)){var me={nodes:[],edges:[]};me.nodes.push({id:"0",label:se}),b.push(me)}}),b},E.prototype.run=function(){var a=this;if(this.frequentSize1Subgraphs=this.generate1EdgeFrequentSubGraphs(),!(this.maxNodeNum<2)){var y=this.graphs,x=this.directed,b={};Object.keys(y).forEach(function(z){var te=y[z],re=te.nodeMap;te.nodes.forEach(function(ae){var se=a.findForwardRootEdges(te,ae);se.forEach(function(fe){var me=re[fe.to],xe="".concat(ae.label,"-").concat(fe.label,"-").concat(me.label);b[xe]||(b[xe]={projected:[],nodeLabel1:ae.label,edgeLabel:fe.label,nodeLabel2:me.label});var Te={graphId:z,edge:fe,preNode:null};b[xe].projected.push(Te)})})}),Object.keys(b).forEach(function(z){var te=b[z],re=te.projected,ae=te.nodeLabel1,se=te.edgeLabel,fe=te.nodeLabel2;a.dfsCode.dfsEdgeList.push(new gg(0,1,ae,se,fe)),a.subGraphMining(re),a.dfsCode.dfsEdgeList.pop()})}},E}(),j4=function(a,y,x,b){var z={};return Object.keys(a).forEach(function(te,re){var ae=a[te],se=new C2(re,!0,y),fe={};ae.nodes.forEach(function(me,xe){se.addNode(xe,me[x]),fe[me.id]=xe}),ae.edges.forEach(function(me,xe){var Te=fe[me.source],ke=fe[me.target];se.addEdge(-1,Te,ke,me[b])}),se&&se.getNodeNum()&&(z[se.id]=se)}),z},G4=function(a,y,x){var b=[];return a.forEach(function(z){var te={nodes:[],edges:[]};z.nodes.forEach(function(re){var ae;te.nodes.push((ae={id:"".concat(re.id)},ae[y]=re.label,ae))}),z.edges.forEach(function(re){var 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re.forEach(xe=>{te.has(xe)?x(b.get(xe),z.get(xe))?me.push(z.get(xe)):se.push(z.get(xe)):ae.push(z.get(xe))}),te.forEach(xe=>{re.has(xe)||fe.push(b.get(xe))}),{enter:ae,exit:fe,keep:me,update:se}}function vg(E,a,y){const x=b=>{y&&!y(b)||(b.style.visibility=a)};E.forEach(b=>{x(b)})}function o_(E,a,y){const x={},b=z=>(z in x||(x[z]=0),`${a}-${z}-${x[z]++}`);return y.map(z=>typeof z=="string"?{type:z,key:b(z)}:typeof z=="function"?z.call(E):z.key?z:Object.assign(Object.assign({},z),{key:b(z.type)}))}class yA{constructor(a){this.extensions=[],this.extensionMap={},this.context=a}setExtensions(a){const y=o_(this.context.graph,this.category,a),{enter:x,update:b,exit:z,keep:te}=ch(this.extensions,y,re=>re.key);this.createExtensions(x),this.updateExtensions([...b,...te]),this.destroyExtensions(z),this.extensions=y}createExtension(a){const{category:y}=this,{key:x,type:b}=a,z=Df(y,b);if(!z)return Ac.warn(`The extension ${b} of ${y} is not registered.`);const te=new z(this.context,a);this.extensionMap[x]=te}createExtensions(a){a.forEach(y=>this.createExtension(y))}updateExtension(a){const{key:y}=a,x=this.extensionMap[y];x&&x.update(a)}updateExtensions(a){a.forEach(y=>this.updateExtension(y))}destroyExtension(a){const y=this.extensionMap[a];y&&(y.destroy(),delete this.extensionMap[a])}destroyExtensions(a){a.forEach(({key:y})=>this.destroyExtension(y))}destroy(){Object.values(this.extensionMap).forEach(a=>a.destroy()),this.context={},this.extensions=[],this.extensionMap={}}}class EA{constructor(a,y){this.events=[],this.destroyed=!1,this.context=a,this.options=y}update(a){this.options=Object.assign(this.options,a)}destroy(){this.context={},this.options={},this.destroyed=!0}}class kc extends EA{}class Ap extends kc{constructor(a,y){super(a,Object.assign({},Ap.defaultOptions,y)),this.isOverlapping=(x,b)=>b.some(z=>x.intersects(z)),this.occupiedBounds=[],this.detectLabelCollision=x=>{const b=this.context.viewport,z={show:[],hide:[]};return this.occupiedBounds=[],x.forEach(te=>{const re=te.getShape("label").getRenderBounds();b.isInViewport(re,!0)&&!this.isOverlapping(re,this.occupiedBounds)?(z.show.push(te),this.occupiedBounds.push(uh(re,this.options.padding))):z.hide.push(te)}),z},this.hideLabelIfExceedViewport=(x,b)=>{const{exit:z}=ch(x,b,te=>te.id);z==null||z.forEach(this.hideLabel)},this.nodeCentralities=new Map,this.sortNodesByCentrality=(x,b)=>{const{model:z}=this.context,te=z.getData(),re=z.getRelatedEdgesData.bind(z);return x.map(se=>(this.nodeCentralities.has(se.id)||(this.nodeCentralities=N2(te,re,b)),{node:se,centrality:this.nodeCentralities.get(se.id)})).sort((se,fe)=>fe.centrality-se.centrality).map(se=>se.node)},this.sortLabelElementsInView=x=>{const{sort:b,sortNode:z,sortCombo:te,sortEdge:re}=this.options,{model:ae}=this.context;if(Gi(b))return x.sort((We,je)=>b(ae.getElementDataById(We.id),ae.getElementDataById(je.id)));const{node:se=[],edge:fe=[],combo:me=[]}=ip(x,We=>We.type),xe=Gi(te)?me.sort((We,je)=>te(...ae.getComboData([We.id,je.id]))):me,Te=Gi(z)?se.sort((We,je)=>z(...ae.getNodeData([We.id,je.id]))):this.sortNodesByCentrality(se,z),ke=Gi(re)?fe.sort((We,je)=>re(...ae.getEdgeData([We.id,je.id]))):fe;return[...xe,...Te,...ke]},this.labelElementsInView=[],this.isFirstRender=!0,this.onToggleVisibility=x=>{var b;if(((b=x.data)===null||b===void 0?void 0:b.stage)==="zIndex")return;if(!this.validate(x)){this.hiddenElements.size>0&&(this.hiddenElements.forEach(this.showLabel),this.hiddenElements.clear());return}const z=this.isFirstRender?this.getLabelElements():this.getLabelElementsInView();this.hideLabelIfExceedViewport(this.labelElementsInView,z),this.labelElementsInView=z;const te=this.sortLabelElementsInView(this.labelElementsInView),{show:re,hide:ae}=this.detectLabelCollision(te);for(let se=re.length-1;se>=0;se--)this.showLabel(re[se]);ae.forEach(this.hideLabel)},this.hiddenElements=new Map,this.hideLabel=x=>{const b=x.getShape("label");b&&vg(b,"hidden"),this.hiddenElements.set(x.id,x)},this.showLabel=x=>{const b=x.getShape("label");b&&vg(b,"visible"),x.toFront(),this.hiddenElements.delete(x.id)},this.onTransform=QP(this.onToggleVisibility,this.options.throttle,{leading:!0}),this.enableToggle=!0,this.toggle=x=>{this.enableToggle&&this.onToggleVisibility(x)},this.onBeforeRender=()=>{this.enableToggle=!1},this.onAfterRender=x=>{this.onToggleVisibility(x),this.enableToggle=!0},this.bindEvents()}update(a){this.unbindEvents(),super.update(a),this.bindEvents(),this.onToggleVisibility({})}getLabelElements(){const{elementMap:a}=this.context.element,y=[];for(const x in a){const b=a[x];b.isVisible()&&b.getShape("label")&&y.push(b)}return y}getLabelElementsInView(){const a=this.context.viewport;return this.getLabelElements().filter(y=>a.isInViewport(y.getShape("key").getRenderBounds()))}bindEvents(){const{graph:a}=this.context;a.on(ci.BEFORE_RENDER,this.onBeforeRender),a.on(ci.AFTER_RENDER,this.onAfterRender),a.on(ci.AFTER_DRAW,this.toggle),a.on(ci.AFTER_LAYOUT,this.toggle),a.on(ci.AFTER_TRANSFORM,this.onTransform)}unbindEvents(){const{graph:a}=this.context;a.off(ci.BEFORE_RENDER,this.onBeforeRender),a.off(ci.AFTER_RENDER,this.onAfterRender),a.off(ci.AFTER_DRAW,this.toggle),a.off(ci.AFTER_LAYOUT,this.toggle),a.off(ci.AFTER_TRANSFORM,this.onTransform)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}destroy(){this.unbindEvents(),super.destroy()}}Ap.defaultOptions={enable:!0,throttle:100,padding:0,sortNode:{type:"degree"}};var s_=function(E){if(!eA(E)||!Wb(E,"Object"))return!1;if(Object.getPrototypeOf(E)===null)return!0;for(var a=E;Object.getPrototypeOf(a)!==null;)a=Object.getPrototypeOf(a);return Object.getPrototypeOf(E)===a},c0=s_,l_=5;function u_(E,a){if(Object.hasOwn)return Object.hasOwn(E,a);if(E==null)throw new TypeError("Cannot convert undefined or null to object");return Object.prototype.hasOwnProperty.call(Object(E),a)}function _2(E,a,y,x){y=y||0,x=x||l_;for(var b in a)if(u_(a,b)){var z=a[b];z!==null&&c0(z)?(c0(E[b])||(E[b]={}),y<x?_2(E[b],z,y+1,x):E[b]=a[b]):Bc(z)?(E[b]=[],E[b]=E[b].concat(z)):z!==void 0&&(E[b]=z)}}var c_=function(E){for(var a=[],y=1;y<arguments.length;y++)a[y-1]=arguments[y];for(var x=0;x<a.length;x+=1)_2(E,a[x]);return E},nc=c_;const F2=[0,0,0];function Ho(E,a){return E.map((y,x)=>y+a[x])}function qs(E,a){return E.map((y,x)=>y-a[x])}function Lf(E,a){return typeof a=="number"?E.map(y=>y*a):E.map((y,x)=>y*a[x])}function Bd(E,a){return typeof a=="number"?E.map(y=>y/a):E.map((y,x)=>y/a[x])}function d_(E,a){return E.reduce((y,x,b)=>y+x*a[b],0)}function f_(E,a){const y=hv(E),x=hv(a);return[y[1]*x[2]-y[2]*x[1],y[2]*x[0]-y[0]*x[2],y[0]*x[1]-y[1]*x[0]]}function dh(E,a){return E.map(y=>y*a)}function cl(E,a){return Math.sqrt(E.reduce((y,x,b)=>y+Math.pow(x-a[b]||0,2),0))}function xp(E,a){return E.reduce((y,x,b)=>y+Math.abs(x-a[b]),0)}function Of(E){const a=E.reduce((y,x)=>y+Math.pow(x,2),0);return E.map(y=>y/Math.sqrt(a))}function AA(E,a,y=!1){const x=E[0]*a[1]-E[1]*a[0];let b=Math.acos(Lf(E,a).reduce((z,te)=>z+te,0)/(cl(E,F2)*cl(a,F2)));return y&&x<0&&(b=2*Math.PI-b),b}function kJ(E,a){return E.every((y,x)=>y===a[x])}function Sp(E,a=!0){return a?[-E[1],E[0]]:[E[1],-E[0]]}function h_(E,a){return E.map(y=>y%a)}function mg(E){return[E[0],E[1]]}function hv(E){return pR(E)?[E[0],E[1],0]:E}function k2(E){const[a,y]=E;return!a&&!y?0:Math.atan2(y,a)}function z2(E,a){const[y,x]=E,[b,z]=a,te=qs(y,x),re=qs(b,z);return f_(te,re).every(ae=>ae===0)}function 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cl(E,y)}function K2(E,a){const[y,x]=a[0],[b,z]=a[1],[te,re]=E,ae=b-y,se=z-x;if(ae===0&&se===0)return[y,x];let fe=((te-y)*ae+(re-x)*se)/(ae*ae+se*se);fe>1?fe=1:fe<0&&(fe=0);const me=y+fe*ae,xe=x+fe*se;return[me,xe]}function S_(E){const a=E.reduce((y,x)=>Ho(y,x),[0,0]);return Bd(a,E.length)}function SA(E,a=!0){const y=S_(E);return E.sort(([x,b],[z,te])=>{const re=Math.atan2(b-y[1],x-y[0]),ae=Math.atan2(te-y[1],z-y[0]);return a?ae-re:re-ae})}function Z2(E,a){return[E,[E[0],a[1]],a,[a[0],E[1]]]}class Hl{constructor(a,y,x){if(this.phase=y,this.pointerByTouch=[],this.initialDistance=null,this.emitter=a,Hl.instance)return Hl.callbacks[this.phase].push(x),Hl.instance;this.onPointerDown=this.onPointerDown.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.bindEvents(),Hl.instance=this,Hl.callbacks[this.phase].push(x)}bindEvents(){const{emitter:a}=this;a.on(ga.POINTER_DOWN,this.onPointerDown),a.on(ga.POINTER_MOVE,this.onPointerMove),a.on(ga.POINTER_UP,this.onPointerUp)}updatePointerPosition(a,y,x){const b=this.pointerByTouch.findIndex(z=>z.pointerId===a);b>=0&&(this.pointerByTouch[b]={x:y,y:x,pointerId:a})}onPointerDown(a){const{x:y,y:x}=a.client||{};if(!(y===void 0||x===void 0)&&(this.pointerByTouch.push({x:y,y:x,pointerId:a.pointerId}),a.pointerType==="touch"&&this.pointerByTouch.length===2)){Hl.isPinching=!0;const b=this.pointerByTouch[0].x-this.pointerByTouch[1].x,z=this.pointerByTouch[0].y-this.pointerByTouch[1].y;this.initialDistance=Math.sqrt(b*b+z*z),Hl.callbacks.pinchstart.forEach(te=>te(a,{scale:0}))}}onPointerMove(a){if(this.pointerByTouch.length!==2||this.initialDistance===null)return;const{x:y,y:x}=a.client||{};if(y===void 0||x===void 0)return;this.updatePointerPosition(a.pointerId,y,x);const b=this.pointerByTouch[0].x-this.pointerByTouch[1].x,z=this.pointerByTouch[0].y-this.pointerByTouch[1].y,re=Math.sqrt(b*b+z*z)/this.initialDistance;Hl.callbacks.pinchmove.forEach(ae=>ae(a,{scale:(re-1)*5}))}onPointerUp(a){var y;Hl.callbacks.pinchend.forEach(x=>x(a,{scale:0})),Hl.isPinching=!1,this.initialDistance=null,this.pointerByTouch=[],(y=Hl.instance)===null||y===void 0||y.tryDestroy()}destroy(){this.emitter.off(ga.POINTER_DOWN,this.onPointerDown),this.emitter.off(ga.POINTER_MOVE,this.onPointerMove),this.emitter.off(ga.POINTER_UP,this.onPointerUp),Hl.instance=null}off(a,y){const x=Hl.callbacks[a].indexOf(y);x>-1&&Hl.callbacks[a].splice(x,1),this.tryDestroy()}tryDestroy(){Object.values(Hl.callbacks).every(a=>a.length===0)&&this.destroy()}}Hl.isPinching=!1,Hl.instance=null,Hl.callbacks={pinchstart:[],pinchmove:[],pinchend:[]};const Q2=E=>E.map(a=>Ls(a)?a.toLocaleLowerCase():a);class d0{constructor(a){this.map=new Map,this.boundHandlePinch=()=>{},this.recordKey=new Set,this.onKeyDown=y=>{y!=null&&y.key&&(this.recordKey.add(y.key),this.trigger(y))},this.onKeyUp=y=>{y!=null&&y.key&&this.recordKey.delete(y.key)},this.onWheel=y=>{this.triggerExtendKey(ga.WHEEL,y)},this.onDrag=y=>{this.triggerExtendKey(ga.DRAG,y)},this.handlePinch=(y,x)=>{this.triggerExtendKey(ga.PINCH,Object.assign(Object.assign({},y),x))},this.onFocus=()=>{this.recordKey.clear()},this.emitter=a,this.bindEvents()}bind(a,y){a.length!==0&&(a.includes(ga.PINCH)&&!this.pinchHandler&&(this.boundHandlePinch=this.handlePinch.bind(this),this.pinchHandler=new 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rv{constructor(a){super(a),this.onMounted=()=>{this.handleRadius()},this.onAttrModified=()=>{this.handleRadius()},h0=this,this.isMutationObserved=!0,this.addEventListener(is.MOUNTED,this.onMounted),this.addEventListener(is.ATTR_MODIFIED,this.onAttrModified)}handleRadius(){const{radius:a,clipPath:y,width:x=0,height:b=0}=this.attributes;if(a&&x&&b){const[z,te]=this.getBounds().min,re={x:z,y:te,radius:a,width:x,height:b};if(y)Object.assign(this.parsedStyle.clipPath.style,re);else{const ae=new Du({style:re});this.style.clipPath=ae}}else y&&(this.style.clipPath=null)}}const DA=new WeakMap;let h0=null;const IA=E=>{if(h0&&K_(h0).includes(E)){const a=DA.get(E);a?a.includes(h0)||a.push(h0):DA.set(E,[h0])}},LA=E=>{const a=DA.get(E);a&&a.forEach(y=>y.handleRadius())};class sw extends yv{constructor(a){super(a)}isImage(){const{src:a}=this.attributes;return!!a}getIconStyle(a=this.attributes){const{width:y=0,height:x=0}=a,b=this.getGraphicStyle(a);return this.isImage()?Object.assign({x:-y/2,y:-x/2},b):Object.assign({textBaseline:"middle",textAlign:"center"},b)}render(a=this.attributes,y=this){this.upsert("icon",this.isImage()?MA:dg,this.getIconStyle(a),y)}}class lw extends yv{get context(){return this.config.context}get parsedAttributes(){return this.attributes}onframe(){}animate(a,y){const x=super.animate(a,y);return x&&(x.onframe=()=>this.onframe(),x.finished.then(()=>this.onframe())),x}}var Mp=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b<x.length;b++)a.indexOf(x[b])<0&&Object.prototype.propertyIsEnumerable.call(E,x[b])&&(y[x[b]]=E[x[b]]);return y};class Rd extends lw{constructor(a){super(Eu({style:Rd.defaultStyleProps},a)),this.type="node"}getSize(a=this.attributes){const{size:y}=a;return zc(y)}getKeyStyle(a){const y=this.getGraphicStyle(a);return 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x,b;const{points:z}=this.getShape("key").attributes,te=[+(((x=this.attributes)===null||x===void 0?void 0:x.x)||0),+(((b=this.attributes)===null||b===void 0?void 0:b.y)||0)];return H2(a,te,z,!0,y).point}}class Q_ extends Dp{constructor(a){super(a)}getPoints(a){const[y,x]=this.getSize(a);return k8(y,x)}}var Y_=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b<x.length;b++)a.indexOf(x[b])<0&&Object.prototype.propertyIsEnumerable.call(E,x[b])&&(y[x[b]]=E[x[b]]);return y};class Ip extends Eg{constructor(a){super(Eu({style:Ip.defaultStyleProps},a))}parseOuterR(){const{size:a}=this.parsedAttributes;return Math.min(...zc(a))/2}parseInnerR(){const{innerR:a}=this.parsedAttributes;return Ls(a)?parseInt(a)/100*this.parseOuterR():a}drawDonutShape(a,y){const{donuts:x}=a;if(!(x!=null&&x.length))return;const 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Qe=Te.getContext(),Je=Te.getDPR();if(Jh(b.dprMatrix,[Je,Je,1]),Wu(b.vpMatrix,b.dprMatrix,re.getOrthoMatrix()),b.clearFullScreen)xe?(Qe.save(),Ke(se.root,Qe),Qe.restore()):Ke(se.root,Qe),b.removedRBushNodeAABBs=[];else{var rt=b.safeMergeAABB.apply(b,[b.mergeDirtyAABBs(b.renderQueue)].concat((0,va.Z)(b.removedRBushNodeAABBs.map(function(jr){var Or=jr.minX,Yr=jr.minY,fa=jr.maxX,Ia=jr.maxY,oi=new il;return oi.setMinMax([Or,Yr,0],[fa,Ia,0]),oi}))));if(b.removedRBushNodeAABBs=[],il.isEmpty(rt)){b.renderQueue=[];return}var ot=b.convertAABB2Rect(rt),ut=ot.x,ft=ot.y,lt=ot.width,Dt=ot.height,Bt=ll(b.vec3a,[ut,ft,0],b.vpMatrix),Vt=ll(b.vec3b,[ut+lt,ft,0],b.vpMatrix),Xt=ll(b.vec3c,[ut,ft+Dt,0],b.vpMatrix),vn=ll(b.vec3d,[ut+lt,ft+Dt,0],b.vpMatrix),on=Math.min(Bt[0],Vt[0],vn[0],Xt[0]),wn=Math.min(Bt[1],Vt[1],vn[1],Xt[1]),qn=Math.max(Bt[0],Vt[0],vn[0],Xt[0]),yn=Math.max(Bt[1],Vt[1],vn[1],Xt[1]),En=Math.floor(on),Pn=Math.floor(wn),or=Math.ceil(qn-on),xn=Math.ceil(yn-wn);Qe.save(),b.clearRect(Qe,En,Pn,or,xn,te.background),Qe.beginPath(),Qe.rect(En,Pn,or,xn),Qe.clip(),Qe.setTransform(b.vpMatrix[0],b.vpMatrix[1],b.vpMatrix[4],b.vpMatrix[5],b.vpMatrix[12],b.vpMatrix[13]);var yr=te.renderer.getConfig(),na=yr.enableDirtyRectangleRenderingDebug;na&&ke.dispatchEvent(new $l(_c.DIRTY_RECTANGLE,{dirtyRect:{x:En,y:Pn,width:or,height:xn}}));var ea=b.searchDirtyObjects(rt);ea.sort(function(jr,Or){return jr.sortable.renderOrder-Or.sortable.renderOrder}).forEach(function(jr){jr&&jr.isVisible()&&!jr.isCulled()&&b.renderDisplayObject(jr,Qe,b.context,cf(b,Kl)[Kl],x)}),Qe.restore(),b.renderQueue.forEach(function(jr){b.saveDirtyAABB(jr)}),b.renderQueue=[]}cf(b,Kl)[Kl].restoreStack.forEach(function(){Qe.restore()}),cf(b,Kl)[Kl].restoreStack=[]}),ae.hooks.render.tap(E.tag,function(Qe){b.clearFullScreen||b.renderQueue.push(Qe)})}},{key:"clearRect",value:function(y,x,b,z,te,re){y.clearRect(x,b,z,te),re&&(y.fillStyle=re,y.fillRect(x,b,z,te))}},{key:"renderDisplayObjectOptimized",value:function(y,x,b,z,te){var re=y.nodeName,ae=!1,se=!1,fe=this.context.styleRendererFactory[re],me=this.pathGeneratorFactory[re],xe=y.parsedStyle.clipPath;if(xe){ae=!z.prevObject||!q1(xe.getWorldTransform(),z.prevObject.getWorldTransform()),ae&&(this.applyWorldTransform(x,xe),z.prevObject=null);var 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xe=this.pathGeneratorFactory[me.nodeName];xe&&(x.save(),z.restoreStack.push(y),x.beginPath(),xe(x,me.parsedStyle),x.closePath(),x.clip())}se&&(this.applyWorldTransform(x,y),x.save(),this.applyAttributesToContext(x,y)),fe&&(x.beginPath(),fe(x,y.parsedStyle),re!==la.LINE&&re!==la.PATH&&re!==la.POLYLINE&&x.closePath()),se&&(se.render(x,y.parsedStyle,y,b,this,te),x.restore()),y.renderable.dirty=!1}},{key:"applyAttributesToContext",value:function(y,x){var b=x.parsedStyle,z=b.stroke,te=b.fill,re=b.opacity,ae=b.lineDash,se=b.lineDashOffset;ae&&y.setLineDash(ae),fo(se)||(y.lineDashOffset=se),fo(re)||(y.globalAlpha*=re),!fo(z)&&!Array.isArray(z)&&!z.isNone&&(y.strokeStyle=x.attributes.stroke),!fo(te)&&!Array.isArray(te)&&!te.isNone&&(y.fillStyle=x.attributes.fill)}},{key:"convertAABB2Rect",value:function(y){var 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y=Tr(this,a,[].concat(b)),y.name="canvas-context-register",y}return(0,da.Z)(a,E),(0,$n.Z)(a,[{key:"init",value:function(){this.context.ContextService=UF}},{key:"destroy",value:function(){delete this.context.ContextService}}])}(nh),Av=function(E){function a(y){var x;return(0,Ar.Z)(this,a),x=Tr(this,a,[y]),x.registerPlugin(new WF),x.registerPlugin(new LF),x.registerPlugin(new sF),x.registerPlugin(new _F),x.registerPlugin(new FF),x.registerPlugin(new wF),x.registerPlugin(new zF),x}return(0,da.Z)(a,E),(0,$n.Z)(a)}(BO);function jF(E,a){if(E){var y;if(Bc(E))for(var x=0,b=E.length;x<b&&(y=a(E[x],x),y!==!1);x++);else if(jl(E)){for(var z in E)if(E.hasOwnProperty(z)&&(y=a(E[z],z),y===!1))break}}}var Aw=jF,GF=Object.prototype.hasOwnProperty,xg=function(E,a){if(E===null||!c0(E))return{};var y={};return Aw(a,function(x){GF.call(E,x)&&(y[x]=E[x])}),y},VF=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b<x.length;b++)a.indexOf(x[b])<0&&Object.prototype.propertyIsEnumerable.call(E,x[b])&&(y[x[b]]=E[x[b]]);return y};class zp extends Rd{constructor(a){super(Object.assign(Object.assign({},a),{style:Object.assign({},zp.defaultStyleProps,a.style)})),this.rootPointerEvent=new Nm(null),this.forwardEvents=y=>{const x=this.context.canvas,b=x.context.renderingContext.root.ownerDocument.defaultView;this.normalizeToPointerEvent(y,b).forEach(te=>{const re=this.bootstrapEvent(this.rootPointerEvent,te,b,y);mv(x.context.eventService,"mappingTable.pointerupoutside",[]),x.context.eventService.mapEvent(re)})}}get eventService(){return this.context.canvas.context.eventService}get events(){return[ga.CLICK,ga.POINTER_DOWN,ga.POINTER_MOVE,ga.POINTER_UP,ga.POINTER_OVER,ga.POINTER_LEAVE]}getDomElement(){return this.getShape("key").getDomElement()}render(a=this.parsedAttributes,y=this){this.drawKeyShape(a,y),this.drawPortShapes(a,y)}getKeyStyle(a){const y=xg(a,["dx","dy","innerHTML","pointerEvents","cursor"]),{dx:x=0,dy:b=0}=y,z=VF(y,["dx","dy"]),[te,re]=this.getSize(a);return Object.assign(Object.assign({x,y:b},z),{width:te,height:re})}drawKeyShape(a,y){const x=this.getKeyStyle(a),{x:b,y:z,width:te=0,height:re=0}=x,ae=this.upsert("key-container",Du,{x:b,y:z,width:te,height:re,opacity:0},y);return this.upsert("key",nv,x,ae)}connectedCallback(){if(!(this.context.canvas.getRenderer("main")instanceof Av))return;const x=this.getDomElement();this.events.forEach(b=>{x.addEventListener(b,this.forwardEvents)})}attributeChangedCallback(a,y,x){a==="zIndex"&&y!==x&&(this.getDomElement().style.zIndex=x)}destroy(){const a=this.getDomElement();this.events.forEach(y=>{a.removeEventListener(y,this.forwardEvents)}),super.destroy()}normalizeToPointerEvent(a,y){const x=[];if(y.isTouchEvent(a))for(let b=0;b<a.changedTouches.length;b++){const z=a.changedTouches[b];Lo(z.button)&&(z.button=0),Lo(z.buttons)&&(z.buttons=1),Lo(z.isPrimary)&&(z.isPrimary=a.touches.length===1&&a.type==="touchstart"),Lo(z.width)&&(z.width=z.radiusX||1),Lo(z.height)&&(z.height=z.radiusY||1),Lo(z.tiltX)&&(z.tiltX=0),Lo(z.tiltY)&&(z.tiltY=0),Lo(z.pointerType)&&(z.pointerType="touch"),Lo(z.pointerId)&&(z.pointerId=z.identifier||0),Lo(z.pressure)&&(z.pressure=z.force||.5),Lo(z.twist)&&(z.twist=0),Lo(z.tangentialPressure)&&(z.tangentialPressure=0),z.isNormalized=!0,z.type=a.type,x.push(z)}else if(y.isMouseEvent(a)){const b=a;Lo(b.isPrimary)&&(b.isPrimary=!0),Lo(b.width)&&(b.width=1),Lo(b.height)&&(b.height=1),Lo(b.tiltX)&&(b.tiltX=0),Lo(b.tiltY)&&(b.tiltY=0),Lo(b.pointerType)&&(b.pointerType="mouse"),Lo(b.pointerId)&&(b.pointerId=1),Lo(b.pressure)&&(b.pressure=.5),Lo(b.twist)&&(b.twist=0),Lo(b.tangentialPressure)&&(b.tangentialPressure=0),b.isNormalized=!0,x.push(b)}else x.push(a);return x}transferMouseData(a,y){a.isTrusted=y.isTrusted,a.srcElement=y.srcElement,a.timeStamp=performance.now(),a.type=y.type,a.altKey=y.altKey,a.metaKey=y.metaKey,a.shiftKey=y.shiftKey,a.ctrlKey=y.ctrlKey,a.button=y.button,a.buttons=y.buttons,a.client.x=y.clientX,a.client.y=y.clientY,a.movement.x=y.movementX,a.movement.y=y.movementY,a.page.x=y.pageX,a.page.y=y.pageY,a.screen.x=y.screenX,a.screen.y=y.screenY,a.relatedTarget=null}bootstrapEvent(a,y,x,b){a.view=x,a.originalEvent=null,a.nativeEvent=b,a.pointerId=y.pointerId,a.width=y.width,a.height=y.height,a.isPrimary=y.isPrimary,a.pointerType=y.pointerType,a.pressure=y.pressure,a.tangentialPressure=y.tangentialPressure,a.tiltX=y.tiltX,a.tiltY=y.tiltY,a.twist=y.twist,this.transferMouseData(a,y);const{x:z,y:te}=this.getViewportXY(y);a.viewport.x=z,a.viewport.y=te;const[re,ae]=this.context.canvas.getCanvasByViewport([z,te]);return a.canvas.x=re,a.canvas.y=ae,a.global.copyFrom(a.canvas),a.offset.copyFrom(a.canvas),a.isTrusted=b.isTrusted,a.type==="pointerleave"&&(a.type="pointerout"),a}getViewportXY(a){let y,x;const{offsetX:b,offsetY:z,clientX:te,clientY:re}=a;if(!fo(b)&&!fo(z))y=b,x=z;else{const ae=this.eventService.client2Viewport({x:te,y:re});y=ae.x,x=ae.y}return{x:y,y:x}}onframe(){super.onframe();const{opacity:a}=this.attributes;this.getDomElement().style.opacity=`${a}`}}zp.defaultStyleProps={size:[160,80],halo:!1,icon:!1,label:!1,pointerEvents:"auto"};var xw=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b<x.length;b++)a.indexOf(x[b])<0&&Object.prototype.propertyIsEnumerable.call(E,x[b])&&(y[x[b]]=E[x[b]]);return y};class Up extends Rd{constructor(a){super(Eu({style:Up.defaultStyleProps},a))}getKeyStyle(a){const[y,x]=this.getSize(a),b=super.getKeyStyle(a),{fillOpacity:z,opacity:te=z}=b,re=xw(b,["fillOpacity","opacity"]);return Object.assign(Object.assign({opacity:te},re),{width:y,height:x,x:-y/2,y:-x/2})}getHaloStyle(a){if(a.halo===!1)return!1;const y=this.getShape("key").attributes,{fill:x,stroke:b}=y,z=xw(y,["fill","stroke"]),te=eu(this.getGraphicStyle(a),"halo"),re=Number(te.lineWidth),[ae,se]=Ho(this.getSize(a),[re,re]);return Object.assign(Object.assign({},te),{width:ae,height:se,fill:"transparent",x:-ae/2,y:-se/2})}getIconStyle(a){const y=super.getIconStyle(a),[x,b]=this.getSize(a);return y?Object.assign({width:x*Bf,height:b*Bf},y):!1}drawKeyShape(a,y){const x=this.upsert("key",MA,this.getKeyStyle(a),y);return IA(this),x}drawHaloShape(a,y){this.upsert("halo",Du,this.getHaloStyle(a),y)}update(a){super.update(a),a&&("x"in a||"y"in a||"z"in a)&&LA(this)}}Up.defaultStyleProps={size:32};class HF extends Rd{constructor(a){super(a)}getKeyStyle(a){const[y,x]=this.getSize(a);return Object.assign(Object.assign({},super.getKeyStyle(a)),{width:y,height:x,x:-y/2,y:-x/2})}getIconStyle(a){const y=super.getIconStyle(a),{width:x,height:b}=this.getShape("key").attributes;return y?Object.assign({width:x*Bf,height:b*Bf},y):!1}drawKeyShape(a,y){return this.upsert("key",Du,this.getKeyStyle(a),y)}}class KF extends Dp{constructor(a){super(a)}getInnerR(a){return a.innerR||this.getOuterR(a)*3/8}getOuterR(a){return Math.min(...this.getSize(a))/2}getPoints(a){return N8(this.getOuterR(a),this.getInnerR(a))}getIconStyle(a){const y=super.getIconStyle(a),x=this.getInnerR(a)*2*Bf;return y?Object.assign({width:x,height:x},y):!1}getPortXY(a,y){const{placement:x="top"}=y,b=this.getShape("key").getLocalBounds(),z=R8(this.getOuterR(a),this.getInnerR(a));return VA(b,x,z,!1)}}class Wp extends Dp{constructor(a){super(Eu({style:Wp.defaultStyleProps},a))}getPoints(a){const{direction:y}=a,[x,b]=this.getSize(a);return 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y=eu(a,"badge"),{offsetX:x,offsetY:b,placement:z}=y,te=Gp(y,["offsetX","offsetY","placement"]);return Object.assign(te,a8(this.shapeMap,z,a.labelPlacement,x,b))}drawArrow(a,y){var x;const b=y==="start",te=a[y==="start"?"startArrow":"endArrow"],re=this.shapeMap.key;if(te){const ae=this.getArrowStyle(a,b),[se,fe,me]=b?["markerStart","markerStartOffset","startArrowOffset"]:["markerEnd","markerEndOffset","endArrowOffset"],xe=re.parsedStyle[se];if(xe)xe.attr(ae);else{const Te=ae.src?rv:Rc,ke=new Te({style:ae});re.style[se]=ke}re.style[fe]=a[me]||ae.width/2+ +ae.lineWidth}else{const ae=b?"markerStart":"markerEnd";(x=re.style[ae])===null||x===void 0||x.destroy(),re.style[ae]=null}}getArrowStyle(a,y){const x=this.getShape("key").attributes,b=y?"startArrow":"endArrow",z=eu(this.getGraphicStyle(a),b),{size:te,type:re}=z,ae=Gp(z,["size","type"]),[se,fe]=zc(g8(x.lineWidth,te)),xe=(Gi(re)?re:Ve[re]||Tw)(se,fe);return Object.assign(xg(x,["stroke","strokeOpacity","fillOpacity"]),{width:se,height:fe},Object.assign({},xe&&{d:xe,fill:re==="simple"?"":x.stroke}),ae)}drawLabelShape(a,y){const x=this.getLabelStyle(a);this.upsert("label",hh,x,y)}drawHaloShape(a,y){const x=this.getHaloStyle(a);this.upsert("halo",Rc,x,y)}drawBadgeShape(a,y){const x=this.getBadgeStyle(a);this.upsert("badge",f0,x,y)}drawSourceArrow(a){this.drawArrow(a,"start")}drawTargetArrow(a){this.drawArrow(a,"end")}drawKeyShape(a,y){const x=this.getKeyStyle(a);return this.upsert("key",Rc,x,y)}render(a=this.parsedAttributes,y=this){this.drawKeyShape(a,y),this.getShape("key")&&(this.drawSourceArrow(a),this.drawTargetArrow(a),this.drawLabelShape(a,y),this.drawHaloShape(a,y),this.drawBadgeShape(a,y))}onframe(){this.drawKeyShape(this.parsedAttributes,this),this.drawSourceArrow(this.parsedAttributes),this.drawTargetArrow(this.parsedAttributes),this.drawHaloShape(this.parsedAttributes,this),this.drawLabelShape(this.parsedAttributes,this),this.drawBadgeShape(this.parsedAttributes,this)}animate(a,y){const x=super.animate(a,y);return x&&new Proxy(x,{set:(b,z,te)=>(z==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(b,z,te))})}}vh.defaultStyleProps={badge:!0,badgeOffsetX:0,badgeOffsetY:0,badgePlacement:"suffix",isBillboard:!0,label:!0,labelAutoRotate:!0,labelIsBillboard:!0,labelMaxWidth:"80%",labelOffsetX:4,labelOffsetY:0,labelPlacement:"center",labelTextBaseline:"middle",labelWordWrap:!1,halo:!1,haloDroppable:!1,haloLineDash:0,haloLineWidth:12,haloPointerEvents:"none",haloStrokeOpacity:.25,haloZIndex:-1,loop:!0,startArrow:!1,startArrowLineDash:0,startArrowLineJoin:"round",startArrowLineWidth:1,startArrowTransformOrigin:"center",startArrowType:"vee",endArrow:!1,endArrowLineDash:0,endArrowLineJoin:"round",endArrowLineWidth:1,endArrowTransformOrigin:"center",endArrowType:"vee",loopPlacement:"top",loopClockwise:!0};class Sg extends vh{constructor(a){super(Eu({style:Sg.defaultStyleProps},a))}getKeyPath(a){const[y,x]=this.getEndpoints(a),{controlPoints:b,curvePosition:z,curveOffset:te}=a,re=this.getControlPoints(y,x,o8(z),i8(te),b);return Iw(y,x,re)}getControlPoints(a,y,x,b,z){return(z==null?void 0:z.length)===2?z:[UA(a,y,x[0],b[0]),UA(a,y,x[1],b[1])]}}Sg.defaultStyleProps={curvePosition:.5,curveOffset:20};class Vp extends Sg{constructor(a){super(Eu({style:Vp.defaultStyleProps},a))}getControlPoints(a,y,x,b){const z=y[0]-a[0];return[[a[0]+z*x[0]+b[0],a[1]],[y[0]-z*x[1]+b[1],y[1]]]}}Vp.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Hp extends Sg{constructor(a){super(Eu({style:Hp.defaultStyleProps},a))}get ref(){return this.context.model.getRootsData()[0]}getEndpoints(a){if(this.sourceNode.id===this.ref.id)return super.getEndpoints(a);const y=uu(this.ref),x=this.sourceNode.getIntersectPoint(y,!0),b=this.targetNode.getIntersectPoint(y);return[x,b]}toRadialCoordinate(a){const y=uu(this.ref),x=cl(a,y),b=k2(qs(a,y));return[x,b]}getControlPoints(a,y,x,b){const[z,te]=this.toRadialCoordinate(a),[re]=this.toRadialCoordinate(y),ae=re-z;return[[a[0]+(ae*x[0]+b[0])*Math.cos(te),a[1]+(ae*x[0]+b[0])*Math.sin(te)],[y[0]-(ae*x[1]-b[0])*Math.cos(te),y[1]-(ae*x[1]-b[0])*Math.sin(te)]]}}Hp.defaultStyleProps={curvePosition:.5,curveOffset:20};class Kp extends Sg{constructor(a){super(Eu({style:Kp.defaultStyleProps},a))}getControlPoints(a,y,x,b){const z=y[1]-a[1];return[[a[0],a[1]+z*x[0]+b[0]],[y[0],y[1]-z*x[1]+b[1]]]}}Kp.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Zp extends vh{constructor(a){super(Eu({style:Zp.defaultStyleProps},a))}getKeyPath(a){const[y,x]=this.getEndpoints(a);return[["M",y[0],y[1]],["L",x[0],x[1]]]}}Zp.defaultStyleProps={};const x8={enableObstacleAvoidance:!1,offset:10,maxAllowedDirectionChange:Math.PI/2,maximumLoops:3e3,gridSize:5,startDirections:["top","right","bottom","left"],endDirections:["top","right","bottom","left"],directionMap:{right:{stepX:1,stepY:0},left:{stepX:-1,stepY:0},bottom:{stepX:0,stepY:1},top:{stepX:0,stepY:-1}},penalties:{0:0,90:0},distFunc:xp},Nf=E=>`${Math.round(E[0])}|||${Math.round(E[1])}`;function bg(E,a){const y=x=>Math.round(x/a);return Oi(E)?y(E):E.map(y)}function S8(E,a){const y=Math.abs(E-a);return y>Math.PI?2*Math.PI-y:y}function Bw(E,a){const y=a[0]-E[0],x=a[1]-E[1];return!y&&!x?0:Math.atan2(x,y)}function Nw(E,a,y,x){const b=Bw(E,a),z=y[Nf(E)],re=Bw(z||x,E);return S8(re,b)}const b8=(E,a)=>{const{offset:y,gridSize:x}=a,b={};return E.forEach(z=>{if(!z||z.destroyed||!z.isVisible())return;const te=uh(z.getRenderBounds(),y);for(let re=bg(te.min[0],x);re<=bg(te.max[0],x);re+=1)for(let ae=bg(te.min[1],x);ae<=bg(te.max[1],x);ae+=1)b[`${re}|||${ae}`]=!0}),b};function Rw(E,a,y){return Math.min(...a.map(x=>y(E,x)))}function C8(E,a,y){let x=E[0],b=y(E[0],a);for(let z=0;z<E.length;z++){const te=E[z],re=y(te,a);re<b&&(x=te,b=re)}return x}const _w=(E,a,y,x)=>{if(!a)return[E];const{directionMap:b,offset:z}=x,te=uh(a.getRenderBounds(),z),re=Object.keys(b).reduce((ae,se)=>{if(y.includes(se)){const fe=b[se],[me,xe]=sh(te),Te=[E[0]+fe.stepX*me,E[1]+fe.stepY*xe],ke=bR(te);for(let We=0;We<ke.length;We++){const je=xA([E,Te],ke[We]);je&&YP(je,te)&&ae.push(je)}}return ae},[]);return Od(E,te)||re.push(E),re.map(ae=>bg(ae,x.gridSize))},P8=(E,a,y,x,b,z,te)=>{const re=[];let ae=[z[0]===x[0]?x[0]:E[0]*te,z[1]===x[1]?x[1]:E[1]*te];re.unshift(ae);let se=E,fe=a[Nf(se)];for(;fe;){const Te=fe,ke=se;Nw(Te,ke,a,y)&&(ae=[Te[0]===ke[0]?ae[0]:Te[0]*te,Te[1]===ke[1]?ae[1]:Te[1]*te],re.unshift(ae)),fe=a[Nf(Te)],se=Te}const me=b.map(Te=>[Te[0]*te,Te[1]*te]),xe=C8(me,ae,xp);return re.unshift(xe),re};function w8(E,a,y,x){const b=mg(E.getCenter()),z=mg(a.getCenter()),te=Object.assign(x8,x),{gridSize:re}=te,ae=te.enableObstacleAvoidance?y:[E,a],se=b8(ae,te),fe=bg(b,re),me=bg(z,re),xe=_w(b,E,te.startDirections,te),Te=_w(z,a,te.endDirections,te);xe.forEach(lt=>delete se[Nf(lt)]),Te.forEach(lt=>delete se[Nf(lt)]);const ke={},We={},je={},Ke={},Qe={},Je=new M8;for(let lt=0;lt<xe.length;lt++){const Dt=xe[lt],Bt=Nf(Dt);ke[Bt]=Dt,Ke[Bt]=0,Qe[Bt]=Rw(Dt,Te,te.distFunc),Je.add({id:Bt,value:Qe[Bt]})}const rt=Te.map(lt=>Nf(lt));let ot=te.maximumLoops,ut,ft=1/0;for(const[lt,Dt]of Object.entries(ke))Qe[lt]<=ft&&(ft=Qe[lt],ut=Dt);for(;Object.keys(ke).length>0&&ot>0;){const lt=Je.minId(!1);if(lt)ut=ke[lt];else break;const Dt=Nf(ut);if(rt.includes(Dt))return P8(ut,je,fe,z,xe,me,re);delete ke[Dt],Je.remove(Dt),We[Dt]=!0;for(const Bt of Object.values(te.directionMap)){const Vt=Ho(ut,[Bt.stepX,Bt.stepY]),Xt=Nf(Vt);if(We[Xt])continue;const vn=Nw(ut,Vt,je,fe);if(vn>te.maxAllowedDirectionChange||se[Xt])continue;ke[Xt]||(ke[Xt]=Vt);const on=te.penalties[vn],wn=te.distFunc(ut,Vt)+(isNaN(on)?re:on),qn=Ke[Dt]+wn,yn=Ke[Xt];yn&&qn>=yn||(je[Xt]=ut,Ke[Xt]=qn,Qe[Xt]=qn+Rw(Vt,Te,te.distFunc),Je.add({id:Xt,value:Qe[Xt]}))}ot-=1}return[]}class M8{constructor(){this.arr=[],this.map={},this.arr=[],this.map={}}_innerAdd(a,y){let x=0,b=y-1;for(;b-x>1;){const z=Math.floor((x+b)/2);if(this.arr[z].value>a.value)b=z;else if(this.arr[z].value<a.value)x=z;else{this.arr.splice(z,0,a),this.map[a.id]=!0;return}}this.arr.splice(b,0,a),this.map[a.id]=!0}add(a){delete this.map[a.id];const y=this.arr.length;if(!y||this.arr[y-1].value<a.value){this.arr.push(a),this.map[a.id]=!0;return}this._innerAdd(a,y)}remove(a){this.map[a]&&delete this.map[a]}_clearAndGetMinId(){let a;for(let y=this.arr.length-1;y>=0;y--)this.map[this.arr[y].id]?a=this.arr[y].id:this.arr.splice(y,1);return a}_findFirstId(){for(;this.arr.length;){const a=this.arr.shift();if(this.map[a.id])return a.id}}minId(a){return a?this._clearAndGetMinId():this._findFirstId()}}class Qp extends vh{constructor(a){super(Eu({style:Qp.defaultStyleProps},a))}getControlPoints(a){const{router:y}=a,{sourceNode:x,targetNode:b}=this,[z,te]=this.getEndpoints(a,!1);let re=[];if(!y)re=a.controlPoints;else if(y.type==="shortest-path"){const ae=this.context.element.getNodes();re=w8(x,b,ae,y),re.length||(re=bw(z,te,x,b,a.controlPoints,{padding:y.offset}))}else y.type==="orth"&&(re=bw(z,te,x,b,a.controlPoints,y));return re}getPoints(a){const y=this.getControlPoints(a),[x,b]=this.getEndpoints(a,!0,y);return[x,...y,b]}getKeyPath(a){const y=this.getPoints(a);return WA(y,a.radius)}getLoopPath(a){const{sourcePort:y,targetPort:x,radius:b}=a,z=this.sourceNode,te=lh(z),re=Math.max(of(te),sf(te))/4,{placement:ae,clockwise:se,dist:fe=re}=eu(this.getGraphicStyle(a),"loop");return f8(z,b,ae,se,fe,y,x)}}Qp.defaultStyleProps={radius:0,controlPoints:[],router:!1};class Yp extends vh{constructor(a){super(Eu({style:Yp.defaultStyleProps},a))}getKeyPath(a){const{curvePosition:y,curveOffset:x}=a,[b,z]=this.getEndpoints(a),te=a.controlPoint||UA(b,z,y,x);return s8(b,z,te)}}Yp.defaultStyleProps={curvePosition:.5,curveOffset:30};var D8=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b<x.length;b++)a.indexOf(x[b])<0&&Object.prototype.propertyIsEnumerable.call(E,x[b])&&(y[x[b]]=E[x[b]]);return y};function Sv(E){return E instanceof Rd&&E.type==="node"}function Fw(E){return E instanceof vh}function GA(E){return E instanceof g0}function I8(E){return Sv(E)||Fw(E)||GA(E)}function L8(E,a){return!E||!a?!1:E===a}const O8={top:[.5,0],right:[1,.5],bottom:[.5,1],left:[0,.5],default:[.5,.5]};function VA(E,a,y=O8,x=!0){const b=[.5,.5],z=Ls(a)?rc(y,a.toLocaleLowerCase(),b):a;if(!x&&Ls(a))return 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se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};const H8="g6-create-edge-assist-edge-id",ey="g6-create-edge-assist-node-id";class ty extends kc{constructor(a,y){super(a,Object.assign({},ty.defaultOptions,y)),this.drop=x=>$p(this,void 0,void 0,function*(){const{targetType:b}=x;["combo","node"].includes(b)&&this.source?yield this.handleCreateEdge(x):yield this.cancelEdge()}),this.handleCreateEdge=x=>$p(this,void 0,void 0,function*(){var b,z,te;if(!this.validate(x))return;const{graph:re,canvas:ae,batch:se,element:fe}=this.context,{style:me}=this.options;if(this.source){this.createEdge(x),yield this.cancelEdge();return}se.startBatch(),ae.setCursor("crosshair"),this.source=this.getSelectedNodeIDs([x.target.id])[0];const xe=re.getElementData(this.source);re.addNodeData([{id:ey,style:{visibility:"hidden",ports:[{key:"port-1",placement:[.5,.5]}],x:(b=xe.style)===null||b===void 0?void 0:b.x,y:(z=xe.style)===null||z===void 0?void 0:z.y}}]),re.addEdgeData([{id:H8,source:this.source,target:ey,style:Object.assign({pointerEvents:"none"},me)}]),yield(te=fe.draw({animation:!1}))===null||te===void 0?void 0:te.finished}),this.updateAssistEdge=x=>$p(this,void 0,void 0,function*(){var b;if(!this.source)return;const{model:z,element:te}=this.context;z.translateNodeTo(ey,[x.canvas.x,x.canvas.y]),yield(b=te.draw({animation:!1,silence:!0}))===null||b===void 0?void 0:b.finished}),this.createEdge=x=>{var b,z;const{graph:te}=this.context,{style:re,onFinish:ae,onCreate:se}=this.options;if(((b=x.target)===null||b===void 0?void 0:b.id)===void 0||this.source===void 0)return;const me=(z=this.getSelectedNodeIDs([x.target.id]))===null||z===void 0?void 0:z[0],xe=`${this.source}-${me}-${V8()}`,Te=se({id:xe,source:this.source,target:me,style:re});te.addEdgeData([Te]),ae(Te)},this.cancelEdge=()=>$p(this,void 0,void 0,function*(){var x;if(!this.source)return;const{graph:b,element:z,batch:te}=this.context;b.removeNodeData([ey]),this.source=void 0,yield(x=z.draw({animation:!1}))===null||x===void 0?void 0:x.finished,te.endBatch()}),this.bindEvents()}update(a){super.update(a),this.bindEvents()}bindEvents(){const{graph:a}=this.context,{trigger:y}=this.options;this.unbindEvents(),y==="click"?(a.on(ld.CLICK,this.handleCreateEdge),a.on(fg.CLICK,this.handleCreateEdge),a.on(Mf.CLICK,this.cancelEdge),a.on(ap.CLICK,this.cancelEdge)):(a.on(ld.DRAG_START,this.handleCreateEdge),a.on(fg.DRAG_START,this.handleCreateEdge),a.on(ga.POINTER_UP,this.drop)),a.on(ga.POINTER_MOVE,this.updateAssistEdge)}getSelectedNodeIDs(a){return Array.from(new Set(this.context.graph.getElementDataByState("node",this.options.state).map(y=>y.id).concat(a)))}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}unbindEvents(){const{graph:a}=this.context;a.off(ld.CLICK,this.handleCreateEdge),a.off(fg.CLICK,this.handleCreateEdge),a.off(Mf.CLICK,this.cancelEdge),a.off(ap.CLICK,this.cancelEdge),a.off(ld.DRAG_START,this.handleCreateEdge),a.off(fg.DRAG_START,this.handleCreateEdge),a.off(ga.POINTER_UP,this.drop),a.off(ga.POINTER_MOVE,this.updateAssistEdge)}destroy(){this.unbindEvents(),super.destroy()}}ty.defaultOptions={animation:!0,enable:!0,style:{},trigger:"drag",onCreate:E=>E,onFinish:()=>{}};function K8(E,a,y){var x;return function(){var b=this,z=arguments,te=function(){x=null,y||E.apply(b,z)},re=y&&!x;clearTimeout(x),x=setTimeout(te,a),re&&E.apply(b,z)}}var Cv=K8,jw=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class ny extends kc{constructor(a,y){super(a,Object.assign({},ny.defaultOptions,y)),this.isDragging=!1,this.onDragStart=x=>{this.validate(x)&&(this.isDragging=!0,this.context.canvas.setCursor("grabbing"))},this.onDrag=x=>{var b,z,te,re;if(!this.isDragging||Hl.isPinching)return;const ae=(z=(b=x.movement)===null||b===void 0?void 0:b.x)!==null&&z!==void 0?z:x.dx,se=(re=(te=x.movement)===null||te===void 0?void 0:te.y)!==null&&re!==void 0?re:x.dy;ae|se&&this.translate([ae,se],!1)},this.onDragEnd=()=>{var x,b;this.isDragging=!1,this.context.canvas.setCursor(this.defaultCursor),(b=(x=this.options).onFinish)===null||b===void 0||b.call(x)},this.invokeOnFinish=Cv(()=>{var x,b;(b=(x=this.options).onFinish)===null||b===void 0||b.call(x)},300),this.shortcut=new d0(a.graph),this.bindEvents(),this.defaultCursor=this.context.canvas.getConfig().cursor||"default"}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{trigger:a}=this.options;if(jl(a)){const{up:y=[],down:x=[],left:b=[],right:z=[]}=a;this.shortcut.bind(y,te=>this.onTranslate([0,1],te)),this.shortcut.bind(x,te=>this.onTranslate([0,-1],te)),this.shortcut.bind(b,te=>this.onTranslate([1,0],te)),this.shortcut.bind(z,te=>this.onTranslate([-1,0],te))}else{const{graph:y}=this.context;y.on(ga.DRAG_START,this.onDragStart),y.on(ga.DRAG,this.onDrag),y.on(ga.DRAG_END,this.onDragEnd)}}onTranslate(a,y){return jw(this,void 0,void 0,function*(){if(!this.validate(y))return;const{sensitivity:x}=this.options,b=x*-1;yield this.translate(Lf(a,b),this.options.animation),this.invokeOnFinish()})}translate(a,y){return jw(this,void 0,void 0,function*(){a=this.clampByDirection(a),a=this.clampByRange(a),yield this.context.graph.translateBy(a,y)})}clampByDirection([a,y]){const{direction:x}=this.options;return x==="x"?y=0:x==="y"&&(a=0),[a,y]}clampByRange([a,y]){const{viewport:x,canvas:b}=this.context,[z,te]=b.getSize(),[re,ae,se,fe]=Ld(this.options.range),me=[te*re,z*ae,te*se,z*fe],xe=uh(oA(x.getCanvasCenter()),me),Te=qs(x.getViewportCenter(),[a,y,0]);if(!Od(Te,xe)){const{min:[ke,We],max:[je,Ke]}=xe;(Te[0]<ke&&a>0||Te[0]>je&&a<0)&&(a=0),(Te[1]<We&&y>0||Te[1]>Ke&&y<0)&&(y=0)}return[a,y]}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return typeof y=="function"?y(a):!!y}unbindEvents(){this.shortcut.unbindAll();const{graph:a}=this.context;a.off(ga.DRAG_START,this.onDragStart),a.off(ga.DRAG,this.onDrag),a.off(ga.DRAG_END,this.onDragEnd)}destroy(){this.shortcut.destroy(),this.unbindEvents(),this.context.canvas.setCursor(this.defaultCursor),super.destroy()}}ny.defaultOptions={enable:E=>"targetType"in E?E.targetType==="canvas":!0,sensitivity:10,direction:"both",range:1/0};var Gw=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class Pv extends kc{constructor(a,y){super(a,Object.assign({},Pv.defaultOptions,y)),this.enable=!1,this.enableElements=["node","combo"],this.target=[],this.shadowOrigin=[0,0],this.hiddenEdges=[],this.isDragging=!1,this.onDrop=x=>Gw(this,void 0,void 0,function*(){var b;if(this.options.dropEffect!=="link")return;const{model:z,element:te}=this.context,re=x.target.id;this.target.forEach(ae=>{const se=z.getParentData(ae,rl);se&&_r(se)===re&&z.refreshComboData(re),z.setParent(ae,re,rl)}),yield(b=te==null?void 0:te.draw({animation:!0}))===null||b===void 0?void 0:b.finished}),this.setCursor=x=>{if(this.isDragging)return;const{type:b}=x,{canvas:z}=this.context,{cursor:te}=this.options;b===ga.POINTER_ENTER?z.setCursor((te==null?void 0:te.grab)||"grab"):z.setCursor((te==null?void 0:te.default)||"default")},this.onDragStart=this.onDragStart.bind(this),this.onDrag=this.onDrag.bind(this),this.onDragEnd=this.onDragEnd.bind(this),this.onDrop=this.onDrop.bind(this),this.bindEvents()}update(a){this.unbindEvents(),super.update(a),this.bindEvents()}bindEvents(){const{graph:a,canvas:y}=this.context,x=y.getLayer().getContextService().$canvas;x&&(x.addEventListener("blur",this.onDragEnd),x.addEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(b=>{a.on(`${b}:${ga.DRAG_START}`,this.onDragStart),a.on(`${b}:${ga.DRAG}`,this.onDrag),a.on(`${b}:${ga.DRAG_END}`,this.onDragEnd),a.on(`${b}:${ga.POINTER_ENTER}`,this.setCursor),a.on(`${b}:${ga.POINTER_LEAVE}`,this.setCursor)}),["link"].includes(this.options.dropEffect)&&(a.on(fg.DROP,this.onDrop),a.on(Mf.DROP,this.onDrop))}getSelectedNodeIDs(a){return Array.from(new Set(this.context.graph.getElementDataByState("node",this.options.state).map(y=>y.id).concat(a)))}getDelta(a){const y=this.context.graph.getZoom();return Bd([a.dx,a.dy],y)}onDragStart(a){var y;if(this.enable=this.validate(a),!this.enable)return;const{batch:x,canvas:b,graph:z}=this.context;b.setCursor(((y=this.options.cursor)===null||y===void 0?void 0:y.grabbing)||"grabbing"),this.isDragging=!0,x.startBatch();const te=a.target.id;z.getElementState(te).includes(this.options.state)?this.target=this.getSelectedNodeIDs([te]):this.target=[te],this.hideEdge(),this.context.graph.frontElement(this.target),this.options.shadow&&this.createShadow(this.target)}onDrag(a){if(!this.enable)return;const y=this.getDelta(a);this.options.shadow?this.moveShadow(y):this.moveElement(this.target,y)}onDragEnd(){var a,y,x;if(this.enable=!1,this.options.shadow){if(!this.shadow)return;this.shadow.style.visibility="hidden";const{x:te=0,y:re=0}=this.shadow.attributes,[ae,se]=qs([+te,+re],this.shadowOrigin);this.moveElement(this.target,[ae,se])}this.showEdges(),(y=(a=this.options).onFinish)===null||y===void 0||y.call(a,this.target);const{batch:b,canvas:z}=this.context;b.endBatch(),z.setCursor(((x=this.options.cursor)===null||x===void 0?void 0:x.grab)||"grab"),this.isDragging=!1,this.target=[]}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}moveElement(a,y){return Gw(this,void 0,void 0,function*(){const{graph:x,model:b}=this.context,{dropEffect:z}=this.options;z==="move"&&a.forEach(te=>b.refreshComboData(te)),x.translateElementBy(Object.fromEntries(a.map(te=>[te,y])),!1)})}moveShadow(a){if(!this.shadow)return;const{x:y=0,y:x=0}=this.shadow.attributes,[b,z]=a;this.shadow.attr({x:+y+b,y:+x+z})}createShadow(a){const y=eu(this.options,"shadow"),x=uv(a.map(se=>this.context.element.getElement(se).getBounds())),[b,z]=x.min;this.shadowOrigin=[b,z];const[te,re]=sh(x),ae={width:te,height:re,x:b,y:z};this.shadow?this.shadow.attr(Object.assign(Object.assign(Object.assign({},y),ae),{visibility:"visible"})):(this.shadow=new Du({style:Object.assign(Object.assign(Object.assign({$layer:"transient"},y),ae),{pointerEvents:"none"})}),this.context.canvas.appendChild(this.shadow))}showEdges(){this.options.shadow||this.hiddenEdges.length===0||(this.context.graph.showElement(this.hiddenEdges),this.hiddenEdges=[])}hideEdge(){const{hideEdge:a,shadow:y}=this.options;if(a==="none"||y)return;const{graph:x}=this.context;a==="all"?this.hiddenEdges=x.getEdgeData().map(_r):this.hiddenEdges=Array.from(new Set(this.target.map(b=>x.getRelatedEdgesData(b,a).map(_r)).flat())),x.hideElement(this.hiddenEdges)}unbindEvents(){const{graph:a,canvas:y}=this.context,x=y.getLayer().getContextService().$canvas;x&&(x.removeEventListener("blur",this.onDragEnd),x.removeEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(b=>{a.off(`${b}:${ga.DRAG_START}`,this.onDragStart),a.off(`${b}:${ga.DRAG}`,this.onDrag),a.off(`${b}:${ga.DRAG_END}`,this.onDragEnd),a.off(`${b}:${ga.POINTER_ENTER}`,this.setCursor),a.off(`${b}:${ga.POINTER_LEAVE}`,this.setCursor)}),a.off(`combo:${ga.DROP}`,this.onDrop),a.off(`canvas:${ga.DROP}`,this.onDrop)}destroy(){var a;this.unbindEvents(),(a=this.shadow)===null||a===void 0||a.destroy(),super.destroy()}}Pv.defaultOptions={animation:!0,enable:E=>["node","combo"].includes(E.targetType),dropEffect:"move",state:"selected",hideEdge:"none",shadow:!1,shadowZIndex:100,shadowFill:"#F3F9FF",shadowFillOpacity:.5,shadowStroke:"#1890FF",shadowStrokeOpacity:.9,shadowLineDash:[5,5],cursor:{default:"default",grab:"grab",grabbing:"grabbing"}};var Z8="*",Q8=function(){function E(){this._events={}}return E.prototype.on=function(a,y,x){return this._events[a]||(this._events[a]=[]),this._events[a].push({callback:y,once:!!x}),this},E.prototype.once=function(a,y){return this.on(a,y,!0)},E.prototype.emit=function(a){for(var y=this,x=[],b=1;b<arguments.length;b++)x[b-1]=arguments[b];var z=this._events[a]||[],te=this._events[Z8]||[],re=function(ae){for(var se=ae.length,fe=0;fe<se;fe++)if(ae[fe]){var me=ae[fe],xe=me.callback,Te=me.once;Te&&(ae.splice(fe,1),ae.length===0&&delete y._events[a],se--,fe--),xe.apply(y,x)}};re(z),re(te)},E.prototype.off=function(a,y){if(!a)this._events={};else if(!y)delete this._events[a];else{for(var x=this._events[a]||[],b=x.length,z=0;z<b;z++)x[z].callback===y&&(x.splice(z,1),b--,z--);x.length===0&&delete this._events[a]}return this},E.prototype.getEvents=function(){return this._events},E}(),ry=Q8;function QA(E,a,y,x){for(;E.length;){const b=E.shift();if(y(b))return!0;a.add(b.id),x(b.id).forEach(te=>{a.has(te.id)||(a.add(te.id),E.push(te))})}return!1}function ay(E,a,y,x){if(y(E))return!0;a.add(E.id);for(const z of x(E.id))if(!a.has(z.id)&&ay(z,a,y,x))return!0;return!1}const Vw=()=>!0;class Y8{constructor(a){Al(this,"graph");Al(this,"nodeFilter");Al(this,"edgeFilter");Al(this,"cacheEnabled");Al(this,"inEdgesMap",new Map);Al(this,"outEdgesMap",new Map);Al(this,"bothEdgesMap",new Map);Al(this,"allNodesMap",new Map);Al(this,"allEdgesMap",new Map);Al(this,"clearCache",()=>{this.inEdgesMap.clear(),this.outEdgesMap.clear(),this.bothEdgesMap.clear(),this.allNodesMap.clear(),this.allEdgesMap.clear()});Al(this,"refreshCache",()=>{this.clearCache(),this.updateCache(this.graph.getAllNodes().map(a=>a.id))});Al(this,"updateCache",a=>{const y=new Set;a.forEach(x=>{const b=this.bothEdgesMap.get(x);if(b&&b.forEach(z=>y.add(z.id)),!this.hasNode(x))this.inEdgesMap.delete(x),this.outEdgesMap.delete(x),this.bothEdgesMap.delete(x),this.allNodesMap.delete(x);else{const z=this.graph.getRelatedEdges(x,"in").filter(this.edgeFilter),te=this.graph.getRelatedEdges(x,"out").filter(this.edgeFilter),re=Array.from(new Set([...z,...te]));re.forEach(ae=>y.add(ae.id)),this.inEdgesMap.set(x,z),this.outEdgesMap.set(x,te),this.bothEdgesMap.set(x,re),this.allNodesMap.set(x,this.graph.getNode(x))}}),y.forEach(x=>{this.hasEdge(x)?this.allEdgesMap.set(x,this.graph.getEdge(x)):this.allEdgesMap.delete(x)})});Al(this,"handleGraphChanged",a=>{const y=new Set;a.changes.forEach(x=>{switch(x.type){case"NodeAdded":y.add(x.value.id);break;case"NodeDataUpdated":y.add(x.id);break;case"EdgeAdded":y.add(x.value.source),y.add(x.value.target);break;case"EdgeUpdated":(x.propertyName==="source"||x.propertyName==="target")&&(y.add(x.oldValue),y.add(x.newValue));break;case"EdgeDataUpdated":if(a.graph.hasEdge(x.id)){const b=a.graph.getEdge(x.id);y.add(b.source),y.add(b.target)}break;case"EdgeRemoved":y.add(x.value.source),y.add(x.value.target);break;case"NodeRemoved":y.add(x.value.id);break;default:break}}),this.updateCache(y)});this.graph=a.graph;const y=a.nodeFilter||Vw,x=a.edgeFilter||Vw;this.nodeFilter=y,this.edgeFilter=b=>{const{source:z,target:te}=this.graph.getEdgeDetail(b.id);return!y(z)||!y(te)?!1:x(b,z,te)},a.cache==="auto"?(this.cacheEnabled=!0,this.startAutoCache()):a.cache==="manual"?this.cacheEnabled=!0:this.cacheEnabled=!1}startAutoCache(){this.refreshCache(),this.graph.on("changed",this.handleGraphChanged)}stopAutoCache(){this.graph.off("changed",this.handleGraphChanged)}checkNodeExistence(a){this.getNode(a)}hasNode(a){if(!this.graph.hasNode(a))return!1;const y=this.graph.getNode(a);return this.nodeFilter(y)}areNeighbors(a,y){return this.checkNodeExistence(a),this.getNeighbors(y).some(x=>x.id===a)}getNode(a){const y=this.graph.getNode(a);if(!this.nodeFilter(y))throw new Error("Node not found for id: "+a);return y}getRelatedEdges(a,y){return this.checkNodeExistence(a),this.cacheEnabled?y==="in"?this.inEdgesMap.get(a):y==="out"?this.outEdgesMap.get(a):this.bothEdgesMap.get(a):this.graph.getRelatedEdges(a,y).filter(this.edgeFilter)}getDegree(a,y){return this.getRelatedEdges(a,y).length}getSuccessors(a){const x=this.getRelatedEdges(a,"out").map(b=>this.getNode(b.target));return Array.from(new Set(x))}getPredecessors(a){const x=this.getRelatedEdges(a,"in").map(b=>this.getNode(b.source));return Array.from(new Set(x))}getNeighbors(a){const y=this.getPredecessors(a),x=this.getSuccessors(a);return Array.from(new Set([...y,...x]))}hasEdge(a){if(!this.graph.hasEdge(a))return!1;const y=this.graph.getEdge(a);return this.edgeFilter(y)}getEdge(a){const y=this.graph.getEdge(a);if(!this.edgeFilter(y))throw new Error("Edge not found for id: "+a);return y}getEdgeDetail(a){const y=this.getEdge(a);return{edge:y,source:this.getNode(y.source),target:this.getNode(y.target)}}hasTreeStructure(a){return this.graph.hasTreeStructure(a)}getRoots(a){return this.graph.getRoots(a).filter(this.nodeFilter)}getChildren(a,y){return this.checkNodeExistence(a),this.graph.getChildren(a,y).filter(this.nodeFilter)}getParent(a,y){this.checkNodeExistence(a);const x=this.graph.getParent(a,y);return!x||!this.nodeFilter(x)?null:x}getAllNodes(){return this.cacheEnabled?Array.from(this.allNodesMap.values()):this.graph.getAllNodes().filter(this.nodeFilter)}getAllEdges(){return this.cacheEnabled?Array.from(this.allEdgesMap.values()):this.graph.getAllEdges().filter(this.edgeFilter)}bfs(a,y,x="out"){const b={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[x];QA([this.getNode(a)],new Set,y,b)}dfs(a,y,x="out"){const b={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[x];ay(this.getNode(a),new Set,y,b)}}class Zl extends ry{constructor(y){super();Al(this,"nodeMap",new Map);Al(this,"edgeMap",new Map);Al(this,"inEdgesMap",new Map);Al(this,"outEdgesMap",new Map);Al(this,"bothEdgesMap",new Map);Al(this,"treeIndices",new Map);Al(this,"changes",[]);Al(this,"batchCount",0);Al(this,"onChanged",()=>{});Al(this,"batch",y=>{this.batchCount+=1,y(),this.batchCount-=1,this.batchCount||this.commit()});y&&(y.nodes&&this.addNodes(y.nodes),y.edges&&this.addEdges(y.edges),y.tree&&this.addTree(y.tree),y.onChanged&&(this.onChanged=y.onChanged))}commit(){const y=this.changes;this.changes=[];const x={graph:this,changes:y};this.emit("changed",x),this.onChanged(x)}reduceChanges(y){let x=[];return y.forEach(b=>{switch(b.type){case"NodeRemoved":{let z=!1;x=x.filter(te=>{if(te.type==="NodeAdded"){const re=te.value.id===b.value.id;return re&&(z=!0),!re}else{if(te.type==="NodeDataUpdated")return te.id!==b.value.id;if(te.type==="TreeStructureChanged")return te.nodeId!==b.value.id}return!0}),z||x.push(b);break}case"EdgeRemoved":{let z=!1;x=x.filter(te=>{if(te.type==="EdgeAdded"){const re=te.value.id===b.value.id;return re&&(z=!0),!re}else if(te.type==="EdgeDataUpdated"||te.type==="EdgeUpdated")return te.id!==b.value.id;return!0}),z||x.push(b);break}case"NodeDataUpdated":case"EdgeDataUpdated":case"EdgeUpdated":{const z=x.findIndex(re=>re.type===b.type&&re.id===b.id&&(b.propertyName===void 0||re.propertyName===b.propertyName)),te=x[z];te?b.propertyName!==void 0?te.newValue=b.newValue:(x.splice(z,1),x.push(b)):x.push(b);break}case"TreeStructureDetached":{x=x.filter(z=>z.type==="TreeStructureAttached"||z.type==="TreeStructureChanged"?z.treeKey!==b.treeKey:!0),x.push(b);break}case"TreeStructureChanged":{const z=x.find(te=>te.type==="TreeStructureChanged"&&te.treeKey===b.treeKey&&te.nodeId===b.nodeId);z?z.newParentId=b.newParentId:x.push(b);break}default:x.push(b);break}}),x}checkNodeExistence(y){this.getNode(y)}hasNode(y){return this.nodeMap.has(y)}areNeighbors(y,x){return this.getNeighbors(x).some(b=>b.id===y)}getNode(y){const x=this.nodeMap.get(y);if(!x)throw new Error("Node not found for id: "+y);return x}getRelatedEdges(y,x){if(this.checkNodeExistence(y),x==="in"){const b=this.inEdgesMap.get(y);return Array.from(b)}else if(x==="out"){const b=this.outEdgesMap.get(y);return Array.from(b)}else{const b=this.bothEdgesMap.get(y);return Array.from(b)}}getDegree(y,x){return this.getRelatedEdges(y,x).length}getSuccessors(y){const b=this.getRelatedEdges(y,"out").map(z=>this.getNode(z.target));return Array.from(new Set(b))}getPredecessors(y){const b=this.getRelatedEdges(y,"in").map(z=>this.getNode(z.source));return Array.from(new Set(b))}getNeighbors(y){const x=this.getPredecessors(y),b=this.getSuccessors(y);return Array.from(new Set([...x,...b]))}doAddNode(y){if(this.hasNode(y.id))throw new Error("Node already exists: "+y.id);this.nodeMap.set(y.id,y),this.inEdgesMap.set(y.id,new Set),this.outEdgesMap.set(y.id,new Set),this.bothEdgesMap.set(y.id,new Set),this.treeIndices.forEach(x=>{x.childrenMap.set(y.id,new Set)}),this.changes.push({type:"NodeAdded",value:y})}addNodes(y){this.batch(()=>{for(const x of y)this.doAddNode(x)})}addNode(y){this.addNodes([y])}doRemoveNode(y){const x=this.getNode(y),b=this.bothEdgesMap.get(y);b==null||b.forEach(z=>this.doRemoveEdge(z.id)),this.nodeMap.delete(y),this.treeIndices.forEach(z=>{var re,ae;(re=z.childrenMap.get(y))==null||re.forEach(se=>{z.parentMap.delete(se.id)});const te=z.parentMap.get(y);te&&((ae=z.childrenMap.get(te.id))==null||ae.delete(x)),z.parentMap.delete(y),z.childrenMap.delete(y)}),this.bothEdgesMap.delete(y),this.inEdgesMap.delete(y),this.outEdgesMap.delete(y),this.changes.push({type:"NodeRemoved",value:x})}removeNodes(y){this.batch(()=>{y.forEach(x=>this.doRemoveNode(x))})}removeNode(y){this.removeNodes([y])}updateNodeDataProperty(y,x,b){const z=this.getNode(y);this.batch(()=>{const te=z.data[x],re=b;z.data[x]=re,this.changes.push({type:"NodeDataUpdated",id:y,propertyName:x,oldValue:te,newValue:re})})}mergeNodeData(y,x){this.batch(()=>{Object.entries(x).forEach(([b,z])=>{this.updateNodeDataProperty(y,b,z)})})}updateNodeData(...y){const x=y[0],b=this.getNode(x);if(typeof y[1]=="string"){this.updateNodeDataProperty(x,y[1],y[2]);return}let z;if(typeof y[1]=="function"){const te=y[1];z=te(b.data)}else typeof y[1]=="object"&&(z=y[1]);this.batch(()=>{const te=b.data,re=z;b.data=z,this.changes.push({type:"NodeDataUpdated",id:x,oldValue:te,newValue:re})})}checkEdgeExistence(y){if(!this.hasEdge(y))throw new Error("Edge not found for id: "+y)}hasEdge(y){return this.edgeMap.has(y)}getEdge(y){return this.checkEdgeExistence(y),this.edgeMap.get(y)}getEdgeDetail(y){const x=this.getEdge(y);return{edge:x,source:this.getNode(x.source),target:this.getNode(x.target)}}doAddEdge(y){if(this.hasEdge(y.id))throw new Error("Edge already exists: "+y.id);this.checkNodeExistence(y.source),this.checkNodeExistence(y.target),this.edgeMap.set(y.id,y);const x=this.inEdgesMap.get(y.target),b=this.outEdgesMap.get(y.source),z=this.bothEdgesMap.get(y.source),te=this.bothEdgesMap.get(y.target);x.add(y),b.add(y),z.add(y),te.add(y),this.changes.push({type:"EdgeAdded",value:y})}addEdges(y){this.batch(()=>{for(const x of y)this.doAddEdge(x)})}addEdge(y){this.addEdges([y])}doRemoveEdge(y){const x=this.getEdge(y),b=this.outEdgesMap.get(x.source),z=this.inEdgesMap.get(x.target),te=this.bothEdgesMap.get(x.source),re=this.bothEdgesMap.get(x.target);b.delete(x),z.delete(x),te.delete(x),re.delete(x),this.edgeMap.delete(y),this.changes.push({type:"EdgeRemoved",value:x})}removeEdges(y){this.batch(()=>{y.forEach(x=>this.doRemoveEdge(x))})}removeEdge(y){this.removeEdges([y])}updateEdgeSource(y,x){const b=this.getEdge(y);this.checkNodeExistence(x);const z=b.source,te=x;this.outEdgesMap.get(z).delete(b),this.bothEdgesMap.get(z).delete(b),this.outEdgesMap.get(te).add(b),this.bothEdgesMap.get(te).add(b),b.source=x,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:y,propertyName:"source",oldValue:z,newValue:te})})}updateEdgeTarget(y,x){const b=this.getEdge(y);this.checkNodeExistence(x);const z=b.target,te=x;this.inEdgesMap.get(z).delete(b),this.bothEdgesMap.get(z).delete(b),this.inEdgesMap.get(te).add(b),this.bothEdgesMap.get(te).add(b),b.target=x,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:y,propertyName:"target",oldValue:z,newValue:te})})}updateEdgeDataProperty(y,x,b){const z=this.getEdge(y);this.batch(()=>{const te=z.data[x],re=b;z.data[x]=re,this.changes.push({type:"EdgeDataUpdated",id:y,propertyName:x,oldValue:te,newValue:re})})}updateEdgeData(...y){const x=y[0],b=this.getEdge(x);if(typeof y[1]=="string"){this.updateEdgeDataProperty(x,y[1],y[2]);return}let z;if(typeof y[1]=="function"){const te=y[1];z=te(b.data)}else typeof y[1]=="object"&&(z=y[1]);this.batch(()=>{const te=b.data,re=z;b.data=z,this.changes.push({type:"EdgeDataUpdated",id:x,oldValue:te,newValue:re})})}mergeEdgeData(y,x){this.batch(()=>{Object.entries(x).forEach(([b,z])=>{this.updateEdgeDataProperty(y,b,z)})})}checkTreeExistence(y){if(!this.hasTreeStructure(y))throw new Error("Tree structure not found for treeKey: "+y)}hasTreeStructure(y){return this.treeIndices.has(y)}attachTreeStructure(y){this.treeIndices.has(y)||(this.treeIndices.set(y,{parentMap:new Map,childrenMap:new Map}),this.batch(()=>{this.changes.push({type:"TreeStructureAttached",treeKey:y})}))}detachTreeStructure(y){this.checkTreeExistence(y),this.treeIndices.delete(y),this.batch(()=>{this.changes.push({type:"TreeStructureDetached",treeKey:y})})}addTree(y,x){this.batch(()=>{this.attachTreeStructure(x);const b=[],z=Array.isArray(y)?y:[y];for(;z.length;){const te=z.shift();b.push(te),te.children&&z.push(...te.children)}this.addNodes(b),b.forEach(te=>{var re;(re=te.children)==null||re.forEach(ae=>{this.setParent(ae.id,te.id,x)})})})}getRoots(y){return this.checkTreeExistence(y),this.getAllNodes().filter(x=>!this.getParent(x.id,y))}getChildren(y,x){this.checkNodeExistence(y),this.checkTreeExistence(x);const z=this.treeIndices.get(x).childrenMap.get(y);return Array.from(z||[])}getParent(y,x){return this.checkNodeExistence(y),this.checkTreeExistence(x),this.treeIndices.get(x).parentMap.get(y)||null}getAncestors(y,x){const b=[];let z=this.getNode(y),te;for(;te=this.getParent(z.id,x);)b.push(te),z=te;return b}setParent(y,x,b){var fe,me;this.checkTreeExistence(b);const z=this.treeIndices.get(b);if(!z)return;const te=this.getNode(y),re=z.parentMap.get(y);if((re==null?void 0:re.id)===x)return;if(x==null){re&&((fe=z.childrenMap.get(re.id))==null||fe.delete(te)),z.parentMap.delete(y);return}const ae=this.getNode(x);z.parentMap.set(y,ae),re&&((me=z.childrenMap.get(re.id))==null||me.delete(te));let se=z.childrenMap.get(ae.id);se||(se=new Set,z.childrenMap.set(ae.id,se)),se.add(te),this.batch(()=>{this.changes.push({type:"TreeStructureChanged",treeKey:b,nodeId:y,oldParentId:re==null?void 0:re.id,newParentId:ae.id})})}dfsTree(y,x,b){const z=te=>this.getChildren(te,b);return ay(this.getNode(y),new Set,x,z)}bfsTree(y,x,b){const z=te=>this.getChildren(te,b);return QA([this.getNode(y)],new Set,x,z)}getAllNodes(){return Array.from(this.nodeMap.values())}getAllEdges(){return Array.from(this.edgeMap.values())}bfs(y,x,b="out"){const z={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[b];return QA([this.getNode(y)],new Set,x,z)}dfs(y,x,b="out"){const z={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[b];return ay(this.getNode(y),new Set,x,z)}clone(){const y=this.getAllNodes().map(z=>PS(_0({},z),{data:_0({},z.data)})),x=this.getAllEdges().map(z=>PS(_0({},z),{data:_0({},z.data)})),b=new Zl({nodes:y,edges:x});return this.treeIndices.forEach(({parentMap:z,childrenMap:te},re)=>{const ae=new Map;z.forEach((fe,me)=>{ae.set(me,b.getNode(fe.id))});const se=new Map;te.forEach((fe,me)=>{se.set(me,new Set(Array.from(fe).map(xe=>b.getNode(xe.id))))}),b.treeIndices.set(re,{parentMap:ae,childrenMap:se})}),b}toJSON(){return JSON.stringify({nodes:this.getAllNodes(),edges:this.getAllEdges()})}createView(y){return new Y8(_0({graph:this},y))}}class iy{constructor(a,y){this.context=a,this.options=y||{}}}var X8=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})},J8=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b<x.length;b++)a.indexOf(x[b])<0&&Object.prototype.propertyIsEnumerable.call(E,x[b])&&(y[x[b]]=E[x[b]]);return y};function HJ(E){const{type:a}=E;return!!(["comboCombined","comboForce"].includes(a)||a==="antv-dagre"&&E.sortByCombo)}function q8(E){const{type:a}=E;return["compact-box","mindmap","dendrogram","indented"].includes(a)}function KJ(E){return isNumber(E.x)&&isNumber(E.y)}function $8(E){return!Array.isArray(E)&&(E==null?void 0:E.preLayout)}function oy(E){const{nodes:a,edges:y}=E,x={nodes:[],edges:[],combos:[]};return a.forEach(b=>{const z=b.data._isCombo?x.combos:x.nodes,{x:te,y:re,z:ae=0}=b.data;z==null||z.push({id:b.id,style:{x:te,y:re,z:ae}})}),y.forEach(b=>{const{id:z,source:te,target:re,data:{points:ae=[],controlPoints:se=ae.slice(1,ae.length-1)}}=b;x.edges.push({id:z,source:te,target:re,style:Object.assign({},se!=null&&se.length?{controlPoints:se.map(Iu)}:{})})}),x}function e7(E,a){class y extends iy{constructor(b,z){if(super(b,z),this.instance=new E({}),this.id=this.instance.id,"stop"in this.instance&&"tick"in this.instance){const te=this.instance;this.stop=te.stop.bind(te),this.tick=re=>{const ae=te.tick(re);return oy(ae)}}}execute(b,z){return X8(this,void 0,void 0,function*(){return oy(yield this.instance.execute(this.graphData2LayoutModel(b),this.transformOptions(nc({},this.options,z))))})}transformOptions(b){const{onTick:z}=b;return z&&(b.onTick=te=>z(oy(te))),b}graphData2LayoutModel(b){const{nodes:z=[],edges:te=[],combos:re=[]}=b,ae=z.map(Te=>{const ke=_r(Te),{data:We,style:je,combo:Ke}=Te,Qe=J8(Te,["data","style","combo"]),Je={id:ke,data:Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},We),{data:We}),Ke?{parentId:Ke}:{}),{style:je}),Qe)};return je!=null&&je.x&&Object.assign(Je.data,{x:je.x}),je!=null&&je.y&&Object.assign(Je.data,{y:je.y}),je!=null&&je.z&&Object.assign(Je.data,{z:je.z}),Je}),se=new Map(ae.map(Te=>[Te.id,Te])),fe=te.filter(Te=>{const{source:ke,target:We}=Te;return se.has(ke)&&se.has(We)}).map(Te=>{const{source:ke,target:We,data:je,style:Ke}=Te;return{id:_r(Te),source:ke,target:We,data:Object.assign({},je),style:Object.assign({},Ke)}}),me=re.map(Te=>({id:_r(Te),data:Object.assign({_isCombo:!0},Te.data),style:Object.assign({},Te.style)})),xe=new Zl({nodes:[...ae,...me],edges:fe});return a.model.model.hasTreeStructure(rl)&&(xe.attachTreeStructure(rl),ae.forEach(Te=>{const ke=a.model.model.getParent(Te.id,rl);ke&&xe.hasNode(ke.id)&&xe.setParent(Te.id,ke.id,rl)})),xe}}return y}function YA(E,a,...y){if(a in E)return E[a](...y);if("instance"in E){const x=E.instance;if(a in x)return x[a](...y)}return null}function Hw(E,a){if(a in E)return E[a];if("instance"in E){const y=E.instance;if(a in y)return y[a]}return null}var t7=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class n7 extends Pv{get forceLayoutInstance(){return this.context.layout.getLayoutInstance().find(a=>["d3-force","d3-force-3d"].includes(a==null?void 0:a.id))}validate(a){return this.context.layout?this.forceLayoutInstance?super.validate(a):(Ac.warn("DragElementForce only works with d3-force or d3-force-3d layout"),!1):!1}moveElement(a,y){return t7(this,void 0,void 0,function*(){const x=this.forceLayoutInstance;this.context.graph.getNodeData(a).forEach((b,z)=>{const{x:te=0,y:re=0}=b.style||{};x&&YA(x,"setFixedPosition",a[z],[...Ho([+te,+re],y)])})})}onDragStart(a){if(this.enable=this.validate(a),!this.enable)return;this.target=this.getSelectedNodeIDs([a.target.id]),this.hideEdge(),this.context.graph.frontElement(this.target);const y=this.forceLayoutInstance;y&&Hw(y,"simulation").alphaTarget(.3).restart(),this.context.graph.getNodeData(this.target).forEach(x=>{const{x:b=0,y:z=0}=x.style||{};y&&YA(y,"setFixedPosition",_r(x),[+b,+z])})}onDrag(a){if(!this.enable)return;const y=this.getDelta(a);this.moveElement(this.target,y)}onDragEnd(){const a=this.forceLayoutInstance;a&&Hw(a,"simulation").alphaTarget(0),!this.options.fixed&&this.context.graph.getNodeData(this.target).forEach(y=>{a&&YA(a,"setFixedPosition",_r(y),[null,null,null])})}}var Kw=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class sy extends kc{constructor(a,y){super(a,Object.assign({},sy.defaultOptions,y)),this.isZoomEvent=x=>!!(x.data&&"scale"in x.data),this.relatedEdgeToUpdate=new Set,this.zoom=this.context.graph.getZoom(),this.fixElementSize=x=>Kw(this,void 0,void 0,function*(){if(!this.validate(x))return;const{graph:b}=this.context,{state:z,nodeFilter:te,edgeFilter:re,comboFilter:ae}=this.options,se=(z?b.getElementDataByState("node",z):b.getNodeData()).filter(te),fe=(z?b.getElementDataByState("edge",z):b.getEdgeData()).filter(re),me=(z?b.getElementDataByState("combo",z):b.getComboData()).filter(ae),xe=this.isZoomEvent(x)?this.zoom=Math.max(.01,Math.min(x.data.scale,10)):this.zoom,Te=[...se,...me];Te.length>0&&Te.forEach(ke=>this.fixNodeLike(ke,xe)),this.updateRelatedEdges(),fe.length>0&&fe.forEach(ke=>this.fixEdge(ke,xe))}),this.cachedStyles=new Map,this.getOriginalFieldValue=(x,b,z)=>{var te;const re=this.cachedStyles.get(x)||[],ae=((te=re.find(se=>se.shape===b))===null||te===void 0?void 0:te.style)||{};return z in ae||(ae[z]=b.attributes[z],this.cachedStyles.set(x,[...re.filter(se=>se.shape!==b),{shape:b,style:ae}])),ae[z]},this.scaleEntireElement=(x,b,z)=>{b.setLocalScale(1/z);const te=this.cachedStyles.get(x)||[];te.push({shape:b}),this.cachedStyles.set(x,te)},this.scaleSpecificShapes=(x,b,z)=>{const te=H_(x);(Array.isArray(z)?z:[z]).forEach(ae=>{const{shape:se,fields:fe}=ae,me=typeof se=="function"?se(te):x.getShape(se);if(me){if(!fe){this.scaleEntireElement(x.id,me,b);return}fe.forEach(xe=>{const Te=this.getOriginalFieldValue(x.id,me,xe);Oi(Te)&&(me.style[xe]=Te/b)})}})},this.skipIfExceedViewport=x=>{const{viewport:b}=this.context;return!(b!=null&&b.isInViewport(x.getRenderBounds(),!1,30))},this.fixNodeLike=(x,b)=>{const z=_r(x),{element:te,model:re}=this.context,ae=te.getElement(z);if(!ae||this.skipIfExceedViewport(ae))return;re.getRelatedEdgesData(z).forEach(me=>this.relatedEdgeToUpdate.add(_r(me)));const fe=this.options[ae.type];if(!fe){this.scaleEntireElement(z,ae,b);return}this.scaleSpecificShapes(ae,b,fe)},this.fixEdge=(x,b)=>{const z=_r(x),te=this.context.element.getElement(z);if(!te||this.skipIfExceedViewport(te))return;const re=this.options.edge;if(!re){te.style.transformOrigin="center",this.scaleEntireElement(z,te,b);return}this.scaleSpecificShapes(te,b,re)},this.updateRelatedEdges=()=>{const{element:x}=this.context;this.relatedEdgeToUpdate.size>0&&this.relatedEdgeToUpdate.forEach(b=>{const z=x.getElement(b);z==null||z.update({})}),this.relatedEdgeToUpdate.clear()},this.resetTransform=x=>Kw(this,void 0,void 0,function*(){var b;!((b=x.data)===null||b===void 0)&&b.firstRender||(this.options.reset?this.restoreCachedStyles():this.fixElementSize({data:{scale:this.zoom}}))}),this.bindEvents()}restoreCachedStyles(){if(this.cachedStyles.size>0){this.cachedStyles.forEach(b=>{b.forEach(({shape:z,style:te})=>{if(uf(te))z.setLocalScale(1);else{if(this.options.state)return;Object.entries(te).forEach(([re,ae])=>z.style[re]=ae)}})});const{graph:a,element:y}=this.context,x=Object.keys(Object.fromEntries(this.cachedStyles)).filter(b=>b&&a.getElementType(b)==="node");if(x.length>0){const b=new Set;x.forEach(z=>{a.getRelatedEdgesData(z).forEach(te=>b.add(_r(te)))}),b.forEach(z=>{const te=y==null?void 0:y.getElement(z);te==null||te.update({})})}}}bindEvents(){const{graph:a}=this.context;a.on(ci.AFTER_DRAW,this.resetTransform),a.on(ci.AFTER_TRANSFORM,this.fixElementSize)}unbindEvents(){const{graph:a}=this.context;a.off(ci.AFTER_DRAW,this.resetTransform),a.off(ci.AFTER_TRANSFORM,this.fixElementSize)}validate(a){if(this.destroyed)return!1;const{enable:y}=this.options;return Gi(y)?y(a):!!y}destroy(){this.unbindEvents(),super.destroy()}}sy.defaultOptions={enable:E=>E.data.scale<1,nodeFilter:()=>!0,edgeFilter:()=>!0,comboFilter:()=>!0,edge:[{shape:"key",fields:["lineWidth"]},{shape:"halo",fields:["lineWidth"]},{shape:"label"}],reset:!1};var r7=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function 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re.forEach(fe=>{se.set(fe.id,fe),_9(fe,ae,b)}),re.map((fe,me)=>{const{id:xe,data:Te}=te[me],{mass:ke=1}=Te;x[xe]={x:fe.vx/ke,y:fe.vy/ke,z:fe.vz/ke}}),x}function N9(E){let a=0,y=0,x=0,b=0,z=0;const te=E.length;if(te){for(let re=0;re<te;re++){const ae=E[re];ae&&ae.weight&&(a+=ae.weight,y+=ae.x*ae.weight,x+=ae.y*ae.weight,b+=ae.z*ae.weight,z+=ae.size*ae.weight)}E.x=y/a,E.y=x/a,E.z=b/a,E.size=z/a,E.weight=a}else{const re=E;E.x=re.data.x,E.y=re.data.y,E.z=re.data.z,E.size=re.data.size,E.weight=re.data.weight}}const R9=(E,a,y,x,b,z,te)=>{var re;if(((re=E.data)===null||re===void 0?void 0:re.id)===z.id)return;const ae=[y,x,b][te-1],se=z.x-E.x||ux,fe=z.y-E.y||ux,me=z.z-E.z||ux,xe=[se,fe,me],Te=ae-a;let ke=0;for(let Ke=0;Ke<te;Ke++)ke+=xe[Ke]*xe[Ke];const je=Math.sqrt(ke)*ke;if(Te*Te*T9<ke){const Ke=E.weight/je;return z.vx+=se*Ke,z.vy+=fe*Ke,z.vz+=me*Ke,!0}if(E.length)return!1;if(E.data!==z){const Ke=E.data.weight/je;z.vx+=se*Ke,z.vy+=fe*Ke,z.vz+=me*Ke}};function _9(E,a,y){a.visit((x,b,z,te,re)=>R9(x,b,z,te,re,E,y))}const F9={dimensions:2,maxIteration:500,gravity:10,factor:1,edgeStrength:50,nodeStrength:1e3,coulombDisScale:.005,damping:.9,maxSpeed:200,minMovement:.4,interval:.02,linkDistance:200,clusterNodeStrength:20,preventOverlap:!0,distanceThresholdMode:"mean"};class k5{constructor(a={}){this.options=a,this.id="force",this.timeInterval=0,this.judgingDistance=0,this.running=!1,this.options=Object.assign(Object.assign({},F9),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericForceLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericForceLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let x=0;(this.judgingDistance>this.lastOptions.minMovement||x<1)&&x<a;x++)this.runOneStep(this.lastCalcGraph,this.lastGraph,x,this.lastVelMap,this.lastOptions),this.updatePosition(this.lastGraph,this.lastCalcGraph,this.lastVelMap,this.lastOptions);const y={nodes:this.lastLayoutNodes,edges:this.lastLayoutEdges};return this.lastAssign&&y.nodes.forEach(x=>this.lastGraph.mergeNodeData(x.id,{x:x.data.x,y:x.data.y,z:this.options.dimensions===3?x.data.z:void 0})),y}genericForceLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),z=y.getAllNodes(),te=y.getAllEdges(),re=this.formatOptions(b,y),{dimensions:ae,width:se,height:fe,nodeSize:me,getMass:xe,nodeStrength:Te,edgeStrength:ke,linkDistance:We}=re,je=z.map((lt,Dt)=>Object.assign(Object.assign({},lt),{data:Object.assign(Object.assign({},lt.data),{x:Oi(lt.data.x)?lt.data.x:Math.random()*se,y:Oi(lt.data.y)?lt.data.y:Math.random()*fe,z:Oi(lt.data.z)?lt.data.z:Math.random()*Math.sqrt(se*fe),size:me(lt)||30,mass:xe(lt),nodeStrength:Te(lt)})})),Ke=te.map(lt=>Object.assign(Object.assign({},lt),{data:Object.assign(Object.assign({},lt.data),{edgeStrength:ke(lt),linkDistance:We(lt,y.getNode(lt.source),y.getNode(lt.target))})}));if(!(z!=null&&z.length))return this.lastResult={nodes:[],edges:te},{nodes:[],edges:te};const Qe={};z.forEach((lt,Dt)=>{Qe[lt.id]={x:0,y:0,z:0}});const Je=new Zl({nodes:je,edges:Ke});this.formatCentripetal(re,Je);const{maxIteration:rt,minMovement:ot,onTick:ut}=re;if(this.lastLayoutNodes=je,this.lastLayoutEdges=Ke,this.lastAssign=a,this.lastGraph=y,this.lastCalcGraph=Je,this.lastOptions=re,this.lastVelMap=Qe,typeof window=="undefined")return;let ft=0;return new Promise(lt=>{this.timeInterval=window.setInterval(()=>{(!z||!this.running)&&lt({nodes:cx(y,je),edges:te}),this.runOneStep(Je,y,ft,Qe,re),this.updatePosition(y,Je,Qe,re),a&&je.forEach(Dt=>y.mergeNodeData(Dt.id,{x:Dt.data.x,y:Dt.data.y,z:ae===3?Dt.data.z:void 0})),ut==null||ut({nodes:cx(y,je),edges:te}),ft++,(ft>=rt||this.judgingDistance<ot)&&(window.clearInterval(this.timeInterval),lt({nodes:cx(y,je),edges:te}))},0),this.running=!0})})}formatOptions(a,y){const x=Object.assign({},a),{width:b,height:z,getMass:te}=a;x.width=!b&&typeof window!="undefined"?window.innerWidth:b,x.height=!z&&typeof window!="undefined"?window.innerHeight:z,a.center||(x.center=[x.width/2,x.height/2]),te||(x.getMass=ae=>{let se=1;Oi(ae==null?void 0:ae.data.mass)&&(se=ae==null?void 0:ae.data.mass);const fe=y.getDegree(ae.id,"both");return!fe||fe<5?se:fe*5*se}),x.nodeSize=ax(a.nodeSize,a.nodeSpacing);const re=a.linkDistance?Cg(1,a.linkDistance):ae=>1+x.nodeSize(y.getNode(ae.source))+x.nodeSize(y.getNode(ae.target));return x.linkDistance=re,x.nodeStrength=Cg(1,a.nodeStrength),x.edgeStrength=Cg(1,a.edgeStrength),x}formatCentripetal(a,y){const{dimensions:x,centripetalOptions:b,center:z,clusterNodeStrength:te,leafCluster:re,clustering:ae,nodeClusterBy:se}=a,fe=y.getAllNodes(),me=b||{leaf:2,single:2,others:1,center:Ke=>({x:z[0],y:z[1],z:x===3?z[2]:void 0})};typeof te!="function"&&(a.clusterNodeStrength=Ke=>te);let xe,Te;if(re&&se&&(xe=z5(y,se),Te=Array.from(new Set(fe==null?void 0:fe.map(Ke=>Ke.data[se])))||[],a.centripetalOptions=Object.assign(me,{single:100,leaf:Ke=>{const{siblingLeaves:Qe,sameTypeLeaves:Je}=xe[Ke.id]||{};return(Je==null?void 0:Je.length)===(Qe==null?void 0:Qe.length)||(Te==null?void 0:Te.length)===1?1:a.clusterNodeStrength(Ke)},others:1,center:Ke=>{const Qe=y.getDegree(Ke.id,"both");if(!Qe)return{x:100,y:100,z:0};let Je;if(Qe===1){const{sameTypeLeaves:rt=[]}=xe[Ke.id]||{};rt.length===1?Je=void 0:rt.length>1&&(Je=U5(rt))}else Je=void 0;return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})),ae&&se){xe||(xe=z5(y,se)),Te||(Te=Array.from(new Set(fe.map(Qe=>Qe.data[se])))),Te=Te.filter(Qe=>Qe!==void 0);const Ke={};Te.forEach(Qe=>{const Je=fe.filter(rt=>rt.data[se]===Qe).map(rt=>y.getNode(rt.id));Ke[Qe]=U5(Je)}),a.centripetalOptions=Object.assign(me,{single:Qe=>a.clusterNodeStrength(Qe),leaf:Qe=>a.clusterNodeStrength(Qe),others:Qe=>a.clusterNodeStrength(Qe),center:Qe=>{const Je=Ke[Qe.data[se]];return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})}const{leaf:ke,single:We,others:je}=a.centripetalOptions||{};ke&&typeof ke!="function"&&(a.centripetalOptions.leaf=()=>ke),We&&typeof We!="function"&&(a.centripetalOptions.single=()=>We),je&&typeof je!="function"&&(a.centripetalOptions.others=()=>je)}runOneStep(a,y,x,b,z){const te={},re=a.getAllNodes(),ae=a.getAllEdges();if(!(re!=null&&re.length))return;const{monitor:se}=z;if(this.calRepulsive(a,te,z),ae&&this.calAttractive(a,te,z),this.calGravity(a,y,te,z),this.updateVelocity(a,te,b,z),se){const fe=this.calTotalEnergy(te,re);se({energy:fe,nodes:y.getAllNodes(),edges:y.getAllEdges(),iterations:x})}}calTotalEnergy(a,y){if(!(y!=null&&y.length))return 0;let x=0;return y.forEach((b,z)=>{const te=a[b.id].x,re=a[b.id].y,ae=this.options.dimensions===3?a[b.id].z:0,se=te*te+re*re+ae*ae,{mass:fe=1}=b.data;x+=fe*se*.5}),x}calRepulsive(a,y,x){const{dimensions:b,factor:z,coulombDisScale:te}=x;B9(a,z,te*te,y,b)}calAttractive(a,y,x){const{dimensions:b,nodeSize:z}=x;a.getAllEdges().forEach((te,re)=>{const{source:ae,target:se}=te,fe=a.getNode(ae),me=a.getNode(se);if(!fe||!me)return;let xe=me.data.x-fe.data.x,Te=me.data.y-fe.data.y,ke=b===3?me.data.z-fe.data.z:0;!xe&&!Te&&(xe=Math.random()*.01,Te=Math.random()*.01,b===3&&!ke&&(ke=Math.random()*.01));const We=Math.sqrt(xe*xe+Te*Te+ke*ke);if(We<z(fe)+z(me))return;const je=xe/We,Ke=Te/We,Qe=ke/We,{linkDistance:Je=200,edgeStrength:rt=200}=te.data||{},ut=(Je-We)*rt,ft=fe.data.mass||1,lt=me.data.mass||1,Dt=1/ft,Bt=1/lt,Vt=je*ut,Xt=Ke*ut,vn=Qe*ut;y[ae].x-=Vt*Dt,y[ae].y-=Xt*Dt,y[ae].z-=vn*Dt,y[se].x+=Vt*Bt,y[se].y+=Xt*Bt,y[se].z+=vn*Bt})}calGravity(a,y,x,b){const{getCenter:z}=b,te=a.getAllNodes(),re=y.getAllNodes(),ae=y.getAllEdges(),{width:se,height:fe,center:me,gravity:xe,centripetalOptions:Te}=b;te&&te.forEach(ke=>{const{id:We,data:je}=ke,{mass:Ke,x:Qe,y:Je,z:rt}=je,ot=y.getNode(We);let ut=0,ft=0,lt=0,Dt=xe;const Bt=a.getDegree(We,"in"),Vt=a.getDegree(We,"out"),Xt=a.getDegree(We,"both"),vn=z==null?void 0:z(ot,Xt);if(vn){const[on,wn,qn]=vn;ut=Qe-on,ft=Je-wn,Dt=qn}else ut=Qe-me[0],ft=Je-me[1],lt=rt-me[2];if(Dt&&(x[We].x-=Dt*ut/Ke,x[We].y-=Dt*ft/Ke,x[We].z-=Dt*lt/Ke),Te){const{leaf:on,single:wn,others:qn,center:yn}=Te,{x:En,y:Pn,z:or,centerStrength:xn}=(yn==null?void 0:yn(ot,re,ae,se,fe))||{x:0,y:0,z:0,centerStrength:0};if(!Oi(En)||!Oi(Pn))return;const yr=(Qe-En)/Ke,na=(Je-Pn)/Ke,ea=(rt-or)/Ke;if(xn&&(x[We].x-=xn*yr,x[We].y-=xn*na,x[We].z-=xn*ea),Xt===0){const Or=wn(ot);if(!Or)return;x[We].x-=Or*yr,x[We].y-=Or*na,x[We].z-=Or*ea;return}if(Bt===0||Vt===0){const Or=on(ot,re,ae);if(!Or)return;x[We].x-=Or*yr,x[We].y-=Or*na,x[We].z-=Or*ea;return}const jr=qn(ot);if(!jr)return;x[We].x-=jr*yr,x[We].y-=jr*na,x[We].z-=jr*ea}})}updateVelocity(a,y,x,b){const{damping:z,maxSpeed:te,interval:re,dimensions:ae}=b,se=a.getAllNodes();se!=null&&se.length&&se.forEach(fe=>{const{id:me}=fe;let xe=(x[me].x+y[me].x*re)*z||.01,Te=(x[me].y+y[me].y*re)*z||.01,ke=ae===3?(x[me].z+y[me].z*re)*z||.01:0;const We=Math.sqrt(xe*xe+Te*Te+ke*ke);if(We>te){const je=te/We;xe=je*xe,Te=je*Te,ke=je*ke}x[me]={x:xe,y:Te,z:ke}})}updatePosition(a,y,x,b){const{distanceThresholdMode:z,interval:te,dimensions:re}=b,ae=y.getAllNodes();if(!(ae!=null&&ae.length)){this.judgingDistance=0;return}let se=0;z==="max"?this.judgingDistance=-1/0:z==="min"&&(this.judgingDistance=1/0),ae.forEach(fe=>{const{id:me}=fe,xe=a.getNode(me);if(Oi(xe.data.fx)&&Oi(xe.data.fy)){y.mergeNodeData(me,{x:xe.data.fx,y:xe.data.fy,z:re===3?xe.data.fz:void 0});return}const Te=x[me].x*te,ke=x[me].y*te,We=re===3?x[me].z*te:0;y.mergeNodeData(me,{x:fe.data.x+Te,y:fe.data.y+ke,z:fe.data.z+We});const je=Math.sqrt(Te*Te+ke*ke+We*We);switch(z){case"max":this.judgingDistance<je&&(this.judgingDistance=je);break;case"min":this.judgingDistance>je&&(this.judgingDistance=je);break;default:se=se+je;break}}),(!z||z==="mean")&&(this.judgingDistance=se/ae.length)}}const z5=(E,a)=>{const y=E.getAllNodes();if(!(y!=null&&y.length))return{};const x={};return y.forEach((b,z)=>{E.getDegree(b.id,"both")===1&&(x[b.id]=k9(E,"leaf",b,a))}),x},k9=(E,a,y,x)=>{const b=E.getDegree(y.id,"in"),z=E.getDegree(y.id,"out");let te=y,re=[];b===0?(te=E.getSuccessors(y.id)[0],re=E.getNeighbors(te.id)):z===0&&(te=E.getPredecessors(y.id)[0],re=E.getNeighbors(te.id)),re=re.filter(se=>E.getDegree(se.id,"in")===0||E.getDegree(se.id,"out")===0);const ae=z9(E,a,x,y,re);return{coreNode:te,siblingLeaves:re,sameTypeLeaves:ae}},z9=(E,a,y,x,b)=>{const z=x.data[y]||"";let te=(b==null?void 0:b.filter(re=>re.data[y]===z))||[];return a==="leaf"&&(te=te.filter(re=>E.getDegree(re.id,"in")===0||E.getDegree(re.id,"out")===0)),te},U5=E=>{const a={x:0,y:0};E.forEach(x=>{const{x:b,y:z}=x.data;a.x+=b||0,a.y+=z||0});const y=E.length||1;return{x:a.x/y,y:a.y/y}},cx=(E,a)=>a.map(y=>{const{id:x,data:b}=y,z=E.getNode(x);return Object.assign(Object.assign({},z),{data:Object.assign(Object.assign({},z.data),{x:b.x,y:b.y,z:b.z})})});var Es=Oe(39293);const XJ=Es.XA,JJ=Es.a_,qJ=Es.yQ,$J=Es.Hs,eq=Es.Ec,tq=Es.dx,nq=Es.LU,rq=Es.Rm,yh=Es.y3,aq=Es.qK,iq=Es.pb,oq=Es.j,sq=Es.sO,lq=Es.BZ,uq=Es.EK,cq=Es.Db,dq=Es.Fx,fq=Es.tU,hq=Es.Ym,gq=Es.rs,vq=Es.QR,mq=Es.TB,pq=Es.oH,W5=Es.Sc,yq=Es.BN,Eq=Es.it,Aq=Es.$r,xq=Es.QM,Sq=Es.AV;var bq=(Es.y3,Es.y3);const Cq=Es.GH,Pq=Es.SO,wq=Es.uZ,Mq=Es.yU,Dq=Es.F1,Iq=Es.re,j5=E=>{const a=[],y=E.length;for(let x=0;x<y;x+=1){a[x]=[];for(let b=0;b<y;b+=1)x===b?a[x][b]=0:E[x][b]===0||!E[x][b]?a[x][b]=1/0:a[x][b]=E[x][b]}for(let x=0;x<y;x+=1)for(let b=0;b<y;b+=1)for(let z=0;z<y;z+=1)a[b][z]>a[b][x]+a[x][z]&&(a[b][z]=a[b][x]+a[x][z]);return a},G5=(E,a)=>{const{nodes:y,edges:x}=E,b=[],z={};if(!y)throw new Error("invalid nodes data!");return y&&y.forEach((te,re)=>{z[te.id]=re;const ae=[];b.push(ae)}),x==null||x.forEach(te=>{const{source:re,target:ae}=te,se=z[re],fe=z[ae];se===void 0||fe===void 0||(b[se][fe]=1,a||(b[fe][se]=1))}),b},U9=(E,a)=>{const y=[];return E.forEach(x=>{const 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nM=(E,a)=>a.reduce((y,[x,b])=>!y[x]||b===void 0?y:y[x].call(E,b),E);var rM=Oe(92546),xz=Oe.n(rM);class Ey{constructor(a){this.id="dagre",this.options={},Object.assign(this.options,Ey.defaultOptions,a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericDagreLayout(!1,a,Object.assign(Object.assign({},this.options),y))})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericDagreLayout(!0,a,Object.assign(Object.assign({},this.options),y))})}genericDagreLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const{nodeSize:b}=x,z=new rM.graphlib.Graph;z.setGraph(x),z.setDefaultEdgeLabel(()=>({}));const te=y.getAllNodes(),re=y.getAllEdges();[...te,...re].some(({id:se})=>Oi(se))&&console.error("Dagre layout only support string id, it will convert number to string."),y.getAllNodes().forEach(se=>{const{id:fe}=se,me=Object.assign({},se.data);if(b!==void 0){const[xe,Te]=Mv(Gi(b)?b(se):b);Object.assign(me,{width:xe,height:Te})}z.setNode(fe.toString(),me)}),y.getAllEdges().forEach(({id:se,source:fe,target:me})=>{z.setEdge(fe.toString(),me.toString(),{id:se})}),xz().layout(z);const ae={nodes:[],edges:[]};return z.nodes().forEach(se=>{const fe=z.node(se);ae.nodes.push({id:se,data:fe}),a&&y.mergeNodeData(se,fe)}),z.edges().forEach(se=>{const fe=z.edge(se),{id:me}=fe,xe=(0,Rt._T)(fe,["id"]),{v:Te,w:ke}=se;ae.edges.push({id:me,source:Te,target:ke,data:xe}),a&&y.mergeEdgeData(me,xe)}),ae})}}Ey.defaultOptions={};class vx{constructor(a){this.id=a.id||0,this.rx=a.rx,this.ry=a.ry,this.fx=0,this.fy=0,this.mass=a.mass,this.degree=a.degree,this.g=a.g||0}distanceTo(a){const y=this.rx-a.rx,x=this.ry-a.ry;return Math.hypot(y,x)}setPos(a,y){this.rx=a,this.ry=y}resetForce(){this.fx=0,this.fy=0}addForce(a){const y=a.rx-this.rx,x=a.ry-this.ry;let b=Math.hypot(y,x);b=b<1e-4?1e-4:b;const z=this.g*(this.degree+1)*(a.degree+1)/b;this.fx+=z*y/b,this.fy+=z*x/b}in(a){return a.contains(this.rx,this.ry)}add(a){const y=this.mass+a.mass,x=(this.rx*this.mass+a.rx*a.mass)/y,b=(this.ry*this.mass+a.ry*a.mass)/y,z=this.degree+a.degree,te={rx:x,ry:b,mass:y,degree:z};return new vx(te)}}class p0{constructor(a){this.xmid=a.xmid,this.ymid=a.ymid,this.length=a.length,this.massCenter=a.massCenter||[0,0],this.mass=a.mass||1}getLength(){return this.length}contains(a,y){const x=this.length/2;return a<=this.xmid+x&&a>=this.xmid-x&&y<=this.ymid+x&&y>=this.ymid-x}NW(){const a=this.xmid-this.length/4,y=this.ymid+this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}NE(){const a=this.xmid+this.length/4,y=this.ymid+this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}SW(){const a=this.xmid-this.length/4,y=this.ymid-this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}SE(){const a=this.xmid+this.length/4,y=this.ymid-this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}}class y0{constructor(a){this.body=null,this.quad=null,this.NW=null,this.NE=null,this.SW=null,this.SE=null,this.theta=.5,a!=null&&(this.quad=a)}insert(a){if(this.body==null){this.body=a;return}this._isExternal()?(this.quad&&(this.NW=new y0(this.quad.NW()),this.NE=new y0(this.quad.NE()),this.SW=new y0(this.quad.SW()),this.SE=new y0(this.quad.SE())),this._putBody(this.body),this._putBody(a),this.body=this.body.add(a)):(this.body=this.body.add(a),this._putBody(a))}_putBody(a){this.quad&&(a.in(this.quad.NW())&&this.NW?this.NW.insert(a):a.in(this.quad.NE())&&this.NE?this.NE.insert(a):a.in(this.quad.SW())&&this.SW?this.SW.insert(a):a.in(this.quad.SE())&&this.SE&&this.SE.insert(a))}_isExternal(){return this.NW==null&&this.NE==null&&this.SW==null&&this.SE==null}updateForce(a){if(!(this.body==null||a===this.body))if(this._isExternal())a.addForce(this.body);else{const y=this.quad?this.quad.getLength():0,x=this.body.distanceTo(a);y/x<this.theta?a.addForce(this.body):(this.NW&&this.NW.updateForce(a),this.NE&&this.NE.updateForce(a),this.SW&&this.SW.updateForce(a),this.SE&&this.SE.updateForce(a))}}}const Sz={center:[0,0],width:300,height:300,kr:5,kg:1,mode:"normal",preventOverlap:!1,dissuadeHubs:!1,maxIteration:0,ks:.1,ksmax:10,tao:.1};class bz{constructor(a={}){this.options=a,this.id="forceAtlas2",this.options=Object.assign(Object.assign({},Sz),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericForceAtlas2Layout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericForceAtlas2Layout(!0,a,y)})}genericForceAtlas2Layout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=y.getAllEdges(),z=y.getAllNodes(),te=this.formatOptions(x,z.length),{width:re,height:ae,prune:se,maxIteration:fe,nodeSize:me,center:xe}=te;if(!(z!=null&&z.length)||z.length===1)return Pg(y,a,xe);const Te=z.map(Ke=>Wc(Ke,[re,ae])),ke=b.filter(Ke=>{const{source:Qe,target:Je}=Ke;return Qe!==Je}),We=new Zl({nodes:Te,edges:ke}),je=this.getSizes(We,me);if(this.run(We,y,fe,je,a,te),se){for(let Qe=0;Qe<ke.length;Qe+=1){const{source:Je,target:rt}=ke[Qe],ot=We.getDegree(Je),ut=We.getDegree(Je);if(ot<=1){const ft=We.getNode(rt);We.mergeNodeData(Je,{x:ft.data.x,y:ft.data.y})}else if(ut<=1){const ft=We.getNode(Je);We.mergeNodeData(rt,{x:ft.data.x,y:ft.data.y})}}const Ke=Object.assign(Object.assign({},te),{prune:!1,barnesHut:!1});this.run(We,y,100,je,a,Ke)}return{nodes:Te,edges:b}})}getSizes(a,y){const x=a.getAllNodes(),b={};for(let z=0;z<x.length;z+=1){const te=x[z];b[te.id]=ax(y,void 0)(te)}return b}formatOptions(a={},y){const x=Object.assign(Object.assign({},this.options),a),{center:b,width:z,height:te,barnesHut:re,prune:ae,maxIteration:se,kr:fe,kg:me}=x;return x.width=!z&&typeof window!="undefined"?window.innerWidth:z,x.height=!te&&typeof window!="undefined"?window.innerHeight:te,x.center=b||[x.width/2,x.height/2],re===void 0&&y>250&&(x.barnesHut=!0),ae===void 0&&y>100&&(x.prune=!0),se===0&&!ae?(x.maxIteration=250,y<=200&&y>100?x.maxIteration=1e3:y>200&&(x.maxIteration=1200)):se===0&&ae&&(x.maxIteration=100,y<=200&&y>100?x.maxIteration=500:y>200&&(x.maxIteration=950)),fe||(x.kr=50,y>100&&y<=500?x.kr=20:y>500&&(x.kr=1)),me||(x.kg=20,y>100&&y<=500?x.kg=10:y>500&&(x.kg=1)),x}run(a,y,x,b,z,te){const{kr:re,barnesHut:ae,onTick:se}=te,fe=a.getAllNodes();let me=0,xe=x;const Te={},ke={},We={};for(let je=0;je<fe.length;je+=1){const{data:Ke,id:Qe}=fe[je];if(Te[Qe]=[0,0],ae){const Je={id:je,rx:Ke.x,ry:Ke.y,mass:1,g:re,degree:a.getDegree(Qe)};We[Qe]=new vx(Je)}}for(;xe>0;)me=this.oneStep(a,{iter:xe,preventOverlapIters:50,krPrime:100,sg:me,forces:Te,preForces:ke,bodies:We,sizes:b},te),xe--,se==null||se({nodes:fe,edges:y.getAllEdges()});return a}oneStep(a,y,x){const{iter:b,preventOverlapIters:z,krPrime:te,sg:re,preForces:ae,bodies:se,sizes:fe}=y;let{forces:me}=y;const{preventOverlap:xe,barnesHut:Te}=x,ke=a.getAllNodes();for(let We=0;We<ke.length;We+=1){const{id:je}=ke[We];ae[je]=[...me[je]],me[je]=[0,0]}return me=this.getAttrForces(a,b,z,fe,me,x),Te&&(xe&&b>z||!xe)?me=this.getOptRepGraForces(a,me,se,x):me=this.getRepGraForces(a,b,z,me,te,fe,x),this.updatePos(a,me,ae,re,x)}getAttrForces(a,y,x,b,z,te){const{preventOverlap:re,dissuadeHubs:ae,mode:se,prune:fe}=te,me=a.getAllEdges();for(let xe=0;xe<me.length;xe+=1){const{source:Te,target:ke}=me[xe],We=a.getNode(Te),je=a.getNode(ke),Ke=a.getDegree(Te),Qe=a.getDegree(ke);if(fe&&(Ke<=1||Qe<=1))continue;const Je=[je.data.x-We.data.x,je.data.y-We.data.y];let rt=Math.hypot(Je[0],Je[1]);rt=rt<1e-4?1e-4:rt,Je[0]=Je[0]/rt,Je[1]=Je[1]/rt,re&&y<x&&(rt=rt-b[Te]-b[ke]);let ot=rt,ut=ot;se==="linlog"&&(ot=Math.log(1+rt),ut=ot),ae&&(ot=rt/Ke,ut=rt/Qe),re&&y<x&&rt<=0?(ot=0,ut=0):re&&y<x&&rt>0&&(ot=rt,ut=rt),z[Te][0]+=ot*Je[0],z[ke][0]-=ut*Je[0],z[Te][1]+=ot*Je[1],z[ke][1]-=ut*Je[1]}return z}getOptRepGraForces(a,y,x,b){const{kg:z,center:te,prune:re}=b,ae=a.getAllNodes(),se=ae.length;let fe=9e10,me=-9e10,xe=9e10,Te=-9e10;for(let Qe=0;Qe<se;Qe+=1){const{id:Je,data:rt}=ae[Qe];re&&a.getDegree(Je)<=1||(x[Je].setPos(rt.x,rt.y),rt.x>=me&&(me=rt.x),rt.x<=fe&&(fe=rt.x),rt.y>=Te&&(Te=rt.y),rt.y<=xe&&(xe=rt.y))}const ke=Math.max(me-fe,Te-xe),We={xmid:(me+fe)/2,ymid:(Te+xe)/2,length:ke,massCenter:te,mass:se},je=new p0(We),Ke=new y0(je);for(let Qe=0;Qe<se;Qe+=1){const{id:Je}=ae[Qe];re&&a.getDegree(Je)<=1||x[Je].in(je)&&Ke.insert(x[Je])}for(let Qe=0;Qe<se;Qe+=1){const{id:Je,data:rt}=ae[Qe],ot=a.getDegree(Je);if(re&&ot<=1)continue;x[Je].resetForce(),Ke.updateForce(x[Je]),y[Je][0]-=x[Je].fx,y[Je][1]-=x[Je].fy;const ut=[rt.x-te[0],rt.y-te[1]];let ft=Math.hypot(ut[0],ut[1]);ft=ft<1e-4?1e-4:ft,ut[0]=ut[0]/ft,ut[1]=ut[1]/ft;const lt=z*(ot+1);y[Je][0]-=lt*ut[0],y[Je][1]-=lt*ut[1]}return y}getRepGraForces(a,y,x,b,z,te,re){const{preventOverlap:ae,kr:se,kg:fe,center:me,prune:xe}=re,Te=a.getAllNodes(),ke=Te.length;for(let We=0;We<ke;We+=1){const je=Te[We],Ke=a.getDegree(je.id);for(let ot=We+1;ot<ke;ot+=1){const ut=Te[ot],ft=a.getDegree(ut.id);if(xe&&(Ke<=1||ft<=1))continue;const lt=[ut.data.x-je.data.x,ut.data.y-je.data.y];let Dt=Math.hypot(lt[0],lt[1]);Dt=Dt<1e-4?1e-4:Dt,lt[0]=lt[0]/Dt,lt[1]=lt[1]/Dt,ae&&y<x&&(Dt=Dt-te[je.id]-te[ut.id]);let Bt=se*(Ke+1)*(ft+1)/Dt;ae&&y<x&&Dt<0?Bt=z*(Ke+1)*(ft+1):ae&&y<x&&Dt===0?Bt=0:ae&&y<x&&Dt>0&&(Bt=se*(Ke+1)*(ft+1)/Dt),b[je.id][0]-=Bt*lt[0],b[ut.id][0]+=Bt*lt[0],b[je.id][1]-=Bt*lt[1],b[ut.id][1]+=Bt*lt[1]}const Qe=[je.data.x-me[0],je.data.y-me[1]],Je=Math.hypot(Qe[0],Qe[1]);Qe[0]=Qe[0]/Je,Qe[1]=Qe[1]/Je;const rt=fe*(Ke+1);b[je.id][0]-=rt*Qe[0],b[je.id][1]-=rt*Qe[1]}return b}updatePos(a,y,x,b,z){const{ks:te,tao:re,prune:ae,ksmax:se}=z,fe=a.getAllNodes(),me=fe.length,xe=[],Te=[];let ke=0,We=0,je=b;for(let Qe=0;Qe<me;Qe+=1){const{id:Je}=fe[Qe],rt=a.getDegree(Je);if(ae&&rt<=1)continue;const ot=[y[Je][0]-x[Je][0],y[Je][1]-x[Je][1]],ut=Math.hypot(ot[0],ot[1]),ft=[y[Je][0]+x[Je][0],y[Je][1]+x[Je][1]],lt=Math.hypot(ft[0],ft[1]);xe[Qe]=ut,Te[Qe]=lt/2,ke+=(rt+1)*xe[Qe],We+=(rt+1)*Te[Qe]}const Ke=je;je=re*We/ke,Ke!==0&&(je=je>1.5*Ke?1.5*Ke:je);for(let Qe=0;Qe<me;Qe+=1){const{id:Je,data:rt}=fe[Qe],ot=a.getDegree(Je);if(ae&&ot<=1||Oi(rt.fx)&&Oi(rt.fy))continue;let ut=te*je/(1+je*Math.sqrt(xe[Qe])),ft=Math.hypot(y[Je][0],y[Je][1]);ft=ft<1e-4?1e-4:ft;const lt=se/ft;ut=ut>lt?lt:ut;const Dt=ut*y[Je][0],Bt=ut*y[Je][1];a.mergeNodeData(Je,{x:rt.x+Dt,y:rt.y+Bt})}return je}}const Cz={maxIteration:1e3,gravity:10,speed:5,clustering:!1,clusterGravity:10,width:300,height:300,nodeClusterBy:"cluster"},Pz=800;class wz{constructor(a={}){this.options=a,this.id="fruchterman",this.timeInterval=0,this.running=!1,this.options=Object.assign(Object.assign({},Cz),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericFruchtermanLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericFruchtermanLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let x=0;x<a;x++)this.runOneStep(this.lastGraph,this.lastClusterMap,this.lastOptions);const y={nodes:this.lastLayoutNodes,edges:this.lastLayoutEdges};return this.lastAssign&&y.nodes.forEach(x=>this.lastGraph.mergeNodeData(x.id,{x:x.data.x,y:x.data.y,z:this.options.dimensions===3?x.data.z:void 0})),y}genericFruchtermanLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){if(this.running)return;const b=this.formatOptions(x),{dimensions:z,width:te,height:re,center:ae,clustering:se,nodeClusterBy:fe,maxIteration:me,onTick:xe}=b,Te=y.getAllNodes(),ke=y.getAllEdges();if(!(Te!=null&&Te.length)){const Je={nodes:[],edges:ke};return this.lastResult=Je,Je}if(Te.length===1){a&&y.mergeNodeData(Te[0].id,{x:ae[0],y:ae[1],z:z===3?ae[2]:void 0});const Je={nodes:[Object.assign(Object.assign({},Te[0]),{data:Object.assign(Object.assign({},Te[0].data),{x:ae[0],y:ae[1],z:z===3?ae[2]:void 0})})],edges:ke};return this.lastResult=Je,Je}const We=Te.map(Je=>Wc(Je,[te,re])),je=new Zl({nodes:We,edges:ke}),Ke={};if(se&&We.forEach(Je=>{const rt=Je.data[fe];Ke[rt]||(Ke[rt]={name:rt,cx:0,cy:0,count:0})}),this.lastLayoutNodes=We,this.lastLayoutEdges=ke,this.lastAssign=a,this.lastGraph=je,this.lastOptions=b,this.lastClusterMap=Ke,typeof window=="undefined")return;let Qe=0;return new Promise(Je=>{this.timeInterval=window.setInterval(()=>{if(!this.running){Je({nodes:We,edges:ke});return}this.runOneStep(je,Ke,b),a&&We.forEach(({id:rt,data:ot})=>y.mergeNodeData(rt,{x:ot.x,y:ot.y,z:z===3?ot.z:void 0})),xe==null||xe({nodes:We,edges:ke}),Qe++,Qe>=me&&(window.clearInterval(this.timeInterval),Je({nodes:We,edges:ke}))},0),this.running=!0})})}formatOptions(a={}){const y=Object.assign(Object.assign({},this.options),a),{clustering:x,nodeClusterBy:b}=y,{center:z,width:te,height:re}=y;return y.width=!te&&typeof window!="undefined"?window.innerWidth:te,y.height=!re&&typeof window!="undefined"?window.innerHeight:re,y.center=z||[y.width/2,y.height/2],y.clustering=x&&!!b,y}runOneStep(a,y,x){const{dimensions:b,height:z,width:te,gravity:re,center:ae,speed:se,clustering:fe,nodeClusterBy:me,clusterGravity:xe}=x,Te=z*te,ke=Math.sqrt(Te)/10,We=a.getAllNodes(),je=Te/(We.length+1),Ke=Math.sqrt(je),Qe={};if(this.applyCalculate(a,Qe,Ke,je),fe){for(const rt in y)y[rt].cx=0,y[rt].cy=0,y[rt].count=0;We.forEach(rt=>{const{data:ot}=rt,ut=y[ot[me]];Oi(ot.x)&&(ut.cx+=ot.x),Oi(ot.y)&&(ut.cy+=ot.y),ut.count++});for(const rt in y)y[rt].cx/=y[rt].count,y[rt].cy/=y[rt].count;const Je=xe||re;We.forEach((rt,ot)=>{const{id:ut,data:ft}=rt;if(!Oi(ft.x)||!Oi(ft.y))return;const lt=y[ft[me]],Dt=Math.sqrt((ft.x-lt.cx)*(ft.x-lt.cx)+(ft.y-lt.cy)*(ft.y-lt.cy)),Bt=Ke*Je;Qe[ut].x-=Bt*(ft.x-lt.cx)/Dt,Qe[ut].y-=Bt*(ft.y-lt.cy)/Dt})}We.forEach((Je,rt)=>{const{id:ot,data:ut}=Je;if(!Oi(ut.x)||!Oi(ut.y))return;const ft=.01*Ke*re;Qe[ot].x-=ft*(ut.x-ae[0]),Qe[ot].y-=ft*(ut.y-ae[1]),b===3&&(Qe[ot].z-=ft*(ut.z-ae[2]))}),We.forEach((Je,rt)=>{const{id:ot,data:ut}=Je;if(Oi(ut.fx)&&Oi(ut.fy)){ut.x=ut.fx,ut.y=ut.fy,b===3&&(ut.z=ut.fz);return}if(!Oi(ut.x)||!Oi(ut.y))return;const ft=Math.sqrt(Qe[ot].x*Qe[ot].x+Qe[ot].y*Qe[ot].y+(b===3?Qe[ot].z*Qe[ot].z:0));if(ft>0){const lt=Math.min(ke*(se/Pz),ft);a.mergeNodeData(ot,{x:ut.x+Qe[ot].x/ft*lt,y:ut.y+Qe[ot].y/ft*lt,z:b===3?ut.z+Qe[ot].z/ft*lt:void 0})}})}applyCalculate(a,y,x,b){this.calRepulsive(a,y,b),this.calAttractive(a,y,x)}calRepulsive(a,y,x){const b=a.getAllNodes();b.forEach(({data:z,id:te},re)=>{y[te]={x:0,y:0,z:0},b.forEach(({data:ae,id:se},fe)=>{if(re<=fe||!Oi(z.x)||!Oi(ae.x)||!Oi(z.y)||!Oi(ae.y))return;let me=z.x-ae.x,xe=z.y-ae.y,Te=this.options.dimensions===3?z.z-ae.z:0,ke=me*me+xe*xe+Te*Te;ke===0&&(ke=1,me=.01,xe=.01,Te=.01);const We=x/ke,je=me*We,Ke=xe*We,Qe=Te*We;y[te].x+=je,y[te].y+=Ke,y[se].x-=je,y[se].y-=Ke,this.options.dimensions===3&&(y[te].z+=Qe,y[se].z-=Qe)})})}calAttractive(a,y,x){a.getAllEdges().forEach(z=>{const{source:te,target:re}=z;if(!te||!re||te===re)return;const{data:ae}=a.getNode(te),{data:se}=a.getNode(re);if(!Oi(se.x)||!Oi(ae.x)||!Oi(se.y)||!Oi(ae.y))return;const fe=se.x-ae.x,me=se.y-ae.y,xe=this.options.dimensions===3?se.z-ae.z:0,Te=Math.sqrt(fe*fe+me*me+xe*xe)/x,ke=fe*Te,We=me*Te,je=xe*Te;y[te].x+=ke,y[te].y+=We,y[re].x-=ke,y[re].y-=We,this.options.dimensions===3&&(y[te].z+=je,y[re].z-=je)})}}const Mz={begin:[0,0],preventOverlap:!0,preventOverlapPadding:10,condense:!1,rows:void 0,cols:void 0,position:void 0,sortBy:"degree",nodeSize:30,width:300,height:300};class Dz{constructor(a={}){this.options=a,this.id="grid",this.options=Object.assign(Object.assign({},Mz),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericGridLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericGridLayout(!0,a,y)})}genericGridLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),{begin:z=[0,0],condense:te,preventOverlapPadding:re,preventOverlap:ae,rows:se,cols:fe,nodeSpacing:me,nodeSize:xe,width:Te,height:ke,position:We}=b;let{sortBy:je}=b;const Ke=y.getAllNodes(),Qe=y.getAllEdges(),Je=Ke==null?void 0:Ke.length;if(!Je||Je===1)return Pg(y,a,z);const rt=Ke.map(wn=>Wc(wn));je!=="id"&&(!Ls(je)||rt[0].data[je]===void 0)&&(je="degree"),je==="degree"?rt.sort((wn,qn)=>y.getDegree(qn.id,"both")-y.getDegree(wn.id,"both")):je==="id"?rt.sort((wn,qn)=>Oi(qn.id)&&Oi(wn.id)?qn.id-wn.id:`${wn.id}`.localeCompare(`${qn.id}`)):rt.sort((wn,qn)=>qn.data[je]-wn.data[je]);const ot=!Te&&typeof window!="undefined"?window.innerWidth:Te,ut=!ke&&typeof window!="undefined"?window.innerHeight:ke,ft=Je,lt={rows:se,cols:fe};if(se!=null&&fe!=null)lt.rows=se,lt.cols=fe;else if(se!=null&&fe==null)lt.rows=se,lt.cols=Math.ceil(ft/lt.rows);else if(se==null&&fe!=null)lt.cols=fe,lt.rows=Math.ceil(ft/lt.cols);else{const wn=Math.sqrt(ft*ut/ot);lt.rows=Math.round(wn),lt.cols=Math.round(ot/ut*wn)}if(lt.rows=Math.max(lt.rows,1),lt.cols=Math.max(lt.cols,1),lt.cols*lt.rows>ft){const wn=Ay(lt),qn=xy(lt);(wn-1)*qn>=ft?Ay(lt,wn-1):(qn-1)*wn>=ft&&xy(lt,qn-1)}else for(;lt.cols*lt.rows<ft;){const wn=Ay(lt),qn=xy(lt);(qn+1)*wn>=ft?xy(lt,qn+1):Ay(lt,wn+1)}let Dt=te?0:ot/lt.cols,Bt=te?0:ut/lt.rows;if(ae||me){const wn=Cg(10,me),qn=rx(30,xe,!1);rt.forEach(yn=>{(!yn.data.x||!yn.data.y)&&(yn.data.x=0,yn.data.y=0);const En=y.getNode(yn.id),[Pn,or]=Mv(qn(En)||30),xn=wn!==void 0?wn(yn):re,yr=Pn+xn,na=or+xn;Dt=Math.max(Dt,yr),Bt=Math.max(Bt,na)})}const Vt={},Xt={row:0,col:0},vn={};for(let wn=0;wn<rt.length;wn++){const qn=rt[wn];let yn;if(We&&(yn=We(y.getNode(qn.id))),yn&&(yn.row!==void 0||yn.col!==void 0)){const En={row:yn.row,col:yn.col};if(En.col===void 0)for(En.col=0;mx(Vt,En);)En.col++;else if(En.row===void 0)for(En.row=0;mx(Vt,En);)En.row++;vn[qn.id]=En,aM(Vt,En)}Iz(qn,z,Dt,Bt,vn,lt,Xt,Vt)}const on={nodes:rt,edges:Qe};return a&&rt.forEach(wn=>{y.mergeNodeData(wn.id,{x:wn.data.x,y:wn.data.y})}),on})}}const Ay=(E,a)=>{let y;const x=E.rows||5,b=E.cols||5;return a==null?y=Math.min(x,b):Math.min(x,b)===E.rows?E.rows=a:E.cols=a,y},xy=(E,a)=>{let y;const x=E.rows||5,b=E.cols||5;return a==null?y=Math.max(x,b):Math.max(x,b)===E.rows?E.rows=a:E.cols=a,y},mx=(E,a)=>E[`c-${a.row}-${a.col}`]||!1,aM=(E,a)=>E[`c-${a.row}-${a.col}`]=!0,iM=(E,a)=>{const y=E.cols||5;a.col++,a.col>=y&&(a.col=0,a.row++)},Iz=(E,a,y,x,b,z,te,re)=>{let ae,se;const fe=b[E.id];if(fe)ae=fe.col*y+y/2+a[0],se=fe.row*x+x/2+a[1];else{for(;mx(re,te);)iM(z,te);ae=te.col*y+y/2+a[0],se=te.row*x+x/2+a[1],aM(re,te),iM(z,te)}E.data.x=ae,E.data.y=se},Lz=(E,a,y)=>{try{const x=yh.mul(yh.pow(a,2),-.5),b=x.mean("row"),z=x.mean("column"),te=x.mean();x.add(te).subRowVector(b).subColumnVector(z);const re=new W5(x),ae=yh.sqrt(re.diagonalMatrix).diagonal();return re.leftSingularVectors.toJSON().map(se=>yh.mul([se],[ae]).toJSON()[0].splice(0,E))}catch(x){const b=[];for(let z=0;z<a.length;z++){const te=Math.random()*y,re=Math.random()*y;b.push([te,re])}return b}},Oz=800,Tz={iterations:10,height:10,width:10,speed:100,gravity:10,k:5},Bz=(E,a)=>{const y=Object.assign(Object.assign({},Tz),a),{positions:x,iterations:b,width:z,k:te,speed:re=100,strictRadial:ae,focusIdx:se,radii:fe=[],nodeSizeFunc:me}=y,xe=E.getAllNodes(),Te=[],ke=z/10;for(let We=0;We<b;We++)x.forEach((je,Ke)=>{Te[Ke]={x:0,y:0}}),Nz(xe,x,Te,te,fe,me),Rz(x,Te,re,ae,se,ke,z,fe);return x},Nz=(E,a,y,x,b,z)=>{a.forEach((te,re)=>{y[re]={x:0,y:0},a.forEach((ae,se)=>{if(re===se||b[re]!==b[se])return;let fe=te.x-ae.x,me=te.y-ae.y,xe=Math.sqrt(fe*fe+me*me);if(xe===0){xe=1;const Te=re>se?1:-1;fe=.01*Te,me=.01*Te}if(xe<z(E[re])/2+z(E[se])/2){const Te=x*x/xe;y[re].x+=fe/xe*Te,y[re].y+=me/xe*Te}})})},Rz=(E,a,y,x,b,z,te,re)=>{const ae=z||te/10;return x&&a.forEach((se,fe)=>{const 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_9(E,a,y){a.visit((x,b,z,te,re)=>R9(x,b,z,te,re,E,y))}const F9={dimensions:2,maxIteration:500,gravity:10,factor:1,edgeStrength:50,nodeStrength:1e3,coulombDisScale:.005,damping:.9,maxSpeed:200,minMovement:.4,interval:.02,linkDistance:200,clusterNodeStrength:20,preventOverlap:!0,distanceThresholdMode:"mean"};class k5{constructor(a={}){this.options=a,this.id="force",this.timeInterval=0,this.judgingDistance=0,this.running=!1,this.options=Object.assign(Object.assign({},F9),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericForceLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericForceLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let x=0;(this.judgingDistance>this.lastOptions.minMovement||x<1)&&x<a;x++)this.runOneStep(this.lastCalcGraph,this.lastGraph,x,this.lastVelMap,this.lastOptions),this.updatePosition(this.lastGraph,this.lastCalcGraph,this.lastVelMap,this.lastOptions);const y={nodes:this.lastLayoutNodes,edges:this.lastLayoutEdges};return this.lastAssign&&y.nodes.forEach(x=>this.lastGraph.mergeNodeData(x.id,{x:x.data.x,y:x.data.y,z:this.options.dimensions===3?x.data.z:void 0})),y}genericForceLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),z=y.getAllNodes(),te=y.getAllEdges(),re=this.formatOptions(b,y),{dimensions:ae,width:se,height:fe,nodeSize:me,getMass:xe,nodeStrength:Te,edgeStrength:ke,linkDistance:We}=re,je=z.map((lt,Dt)=>Object.assign(Object.assign({},lt),{data:Object.assign(Object.assign({},lt.data),{x:Oi(lt.data.x)?lt.data.x:Math.random()*se,y:Oi(lt.data.y)?lt.data.y:Math.random()*fe,z:Oi(lt.data.z)?lt.data.z:Math.random()*Math.sqrt(se*fe),size:me(lt)||30,mass:xe(lt),nodeStrength:Te(lt)})})),Ke=te.map(lt=>Object.assign(Object.assign({},lt),{data:Object.assign(Object.assign({},lt.data),{edgeStrength:ke(lt),linkDistance:We(lt,y.getNode(lt.source),y.getNode(lt.target))})}));if(!(z!=null&&z.length))return this.lastResult={nodes:[],edges:te},{nodes:[],edges:te};const Qe={};z.forEach((lt,Dt)=>{Qe[lt.id]={x:0,y:0,z:0}});const Je=new Zl({nodes:je,edges:Ke});this.formatCentripetal(re,Je);const{maxIteration:rt,minMovement:ot,onTick:ut}=re;if(this.lastLayoutNodes=je,this.lastLayoutEdges=Ke,this.lastAssign=a,this.lastGraph=y,this.lastCalcGraph=Je,this.lastOptions=re,this.lastVelMap=Qe,typeof window=="undefined")return;let ft=0;return new Promise(lt=>{this.timeInterval=window.setInterval(()=>{(!z||!this.running)&&lt({nodes:cx(y,je),edges:te}),this.runOneStep(Je,y,ft,Qe,re),this.updatePosition(y,Je,Qe,re),a&&je.forEach(Dt=>y.mergeNodeData(Dt.id,{x:Dt.data.x,y:Dt.data.y,z:ae===3?Dt.data.z:void 0})),ut==null||ut({nodes:cx(y,je),edges:te}),ft++,(ft>=rt||this.judgingDistance<ot)&&(window.clearInterval(this.timeInterval),lt({nodes:cx(y,je),edges:te}))},0),this.running=!0})})}formatOptions(a,y){const x=Object.assign({},a),{width:b,height:z,getMass:te}=a;x.width=!b&&typeof window!="undefined"?window.innerWidth:b,x.height=!z&&typeof window!="undefined"?window.innerHeight:z,a.center||(x.center=[x.width/2,x.height/2]),te||(x.getMass=ae=>{let se=1;Oi(ae==null?void 0:ae.data.mass)&&(se=ae==null?void 0:ae.data.mass);const fe=y.getDegree(ae.id,"both");return!fe||fe<5?se:fe*5*se}),x.nodeSize=ax(a.nodeSize,a.nodeSpacing);const re=a.linkDistance?Cg(1,a.linkDistance):ae=>1+x.nodeSize(y.getNode(ae.source))+x.nodeSize(y.getNode(ae.target));return x.linkDistance=re,x.nodeStrength=Cg(1,a.nodeStrength),x.edgeStrength=Cg(1,a.edgeStrength),x}formatCentripetal(a,y){const{dimensions:x,centripetalOptions:b,center:z,clusterNodeStrength:te,leafCluster:re,clustering:ae,nodeClusterBy:se}=a,fe=y.getAllNodes(),me=b||{leaf:2,single:2,others:1,center:Ke=>({x:z[0],y:z[1],z:x===3?z[2]:void 0})};typeof te!="function"&&(a.clusterNodeStrength=Ke=>te);let xe,Te;if(re&&se&&(xe=z5(y,se),Te=Array.from(new Set(fe==null?void 0:fe.map(Ke=>Ke.data[se])))||[],a.centripetalOptions=Object.assign(me,{single:100,leaf:Ke=>{const{siblingLeaves:Qe,sameTypeLeaves:Je}=xe[Ke.id]||{};return(Je==null?void 0:Je.length)===(Qe==null?void 0:Qe.length)||(Te==null?void 0:Te.length)===1?1:a.clusterNodeStrength(Ke)},others:1,center:Ke=>{const Qe=y.getDegree(Ke.id,"both");if(!Qe)return{x:100,y:100,z:0};let Je;if(Qe===1){const{sameTypeLeaves:rt=[]}=xe[Ke.id]||{};rt.length===1?Je=void 0:rt.length>1&&(Je=U5(rt))}else Je=void 0;return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})),ae&&se){xe||(xe=z5(y,se)),Te||(Te=Array.from(new Set(fe.map(Qe=>Qe.data[se])))),Te=Te.filter(Qe=>Qe!==void 0);const Ke={};Te.forEach(Qe=>{const Je=fe.filter(rt=>rt.data[se]===Qe).map(rt=>y.getNode(rt.id));Ke[Qe]=U5(Je)}),a.centripetalOptions=Object.assign(me,{single:Qe=>a.clusterNodeStrength(Qe),leaf:Qe=>a.clusterNodeStrength(Qe),others:Qe=>a.clusterNodeStrength(Qe),center:Qe=>{const Je=Ke[Qe.data[se]];return{x:Je==null?void 0:Je.x,y:Je==null?void 0:Je.y,z:Je==null?void 0:Je.z}}})}const{leaf:ke,single:We,others:je}=a.centripetalOptions||{};ke&&typeof ke!="function"&&(a.centripetalOptions.leaf=()=>ke),We&&typeof We!="function"&&(a.centripetalOptions.single=()=>We),je&&typeof je!="function"&&(a.centripetalOptions.others=()=>je)}runOneStep(a,y,x,b,z){const te={},re=a.getAllNodes(),ae=a.getAllEdges();if(!(re!=null&&re.length))return;const{monitor:se}=z;if(this.calRepulsive(a,te,z),ae&&this.calAttractive(a,te,z),this.calGravity(a,y,te,z),this.updateVelocity(a,te,b,z),se){const fe=this.calTotalEnergy(te,re);se({energy:fe,nodes:y.getAllNodes(),edges:y.getAllEdges(),iterations:x})}}calTotalEnergy(a,y){if(!(y!=null&&y.length))return 0;let x=0;return y.forEach((b,z)=>{const te=a[b.id].x,re=a[b.id].y,ae=this.options.dimensions===3?a[b.id].z:0,se=te*te+re*re+ae*ae,{mass:fe=1}=b.data;x+=fe*se*.5}),x}calRepulsive(a,y,x){const{dimensions:b,factor:z,coulombDisScale:te}=x;B9(a,z,te*te,y,b)}calAttractive(a,y,x){const{dimensions:b,nodeSize:z}=x;a.getAllEdges().forEach((te,re)=>{const{source:ae,target:se}=te,fe=a.getNode(ae),me=a.getNode(se);if(!fe||!me)return;let xe=me.data.x-fe.data.x,Te=me.data.y-fe.data.y,ke=b===3?me.data.z-fe.data.z:0;!xe&&!Te&&(xe=Math.random()*.01,Te=Math.random()*.01,b===3&&!ke&&(ke=Math.random()*.01));const We=Math.sqrt(xe*xe+Te*Te+ke*ke);if(We<z(fe)+z(me))return;const je=xe/We,Ke=Te/We,Qe=ke/We,{linkDistance:Je=200,edgeStrength:rt=200}=te.data||{},ut=(Je-We)*rt,ft=fe.data.mass||1,lt=me.data.mass||1,Dt=1/ft,Bt=1/lt,Vt=je*ut,Xt=Ke*ut,vn=Qe*ut;y[ae].x-=Vt*Dt,y[ae].y-=Xt*Dt,y[ae].z-=vn*Dt,y[se].x+=Vt*Bt,y[se].y+=Xt*Bt,y[se].z+=vn*Bt})}calGravity(a,y,x,b){const{getCenter:z}=b,te=a.getAllNodes(),re=y.getAllNodes(),ae=y.getAllEdges(),{width:se,height:fe,center:me,gravity:xe,centripetalOptions:Te}=b;te&&te.forEach(ke=>{const{id:We,data:je}=ke,{mass:Ke,x:Qe,y:Je,z:rt}=je,ot=y.getNode(We);let ut=0,ft=0,lt=0,Dt=xe;const Bt=a.getDegree(We,"in"),Vt=a.getDegree(We,"out"),Xt=a.getDegree(We,"both"),vn=z==null?void 0:z(ot,Xt);if(vn){const[on,wn,qn]=vn;ut=Qe-on,ft=Je-wn,Dt=qn}else ut=Qe-me[0],ft=Je-me[1],lt=rt-me[2];if(Dt&&(x[We].x-=Dt*ut/Ke,x[We].y-=Dt*ft/Ke,x[We].z-=Dt*lt/Ke),Te){const{leaf:on,single:wn,others:qn,center:yn}=Te,{x:En,y:Pn,z:or,centerStrength:xn}=(yn==null?void 0:yn(ot,re,ae,se,fe))||{x:0,y:0,z:0,centerStrength:0};if(!Oi(En)||!Oi(Pn))return;const yr=(Qe-En)/Ke,na=(Je-Pn)/Ke,ea=(rt-or)/Ke;if(xn&&(x[We].x-=xn*yr,x[We].y-=xn*na,x[We].z-=xn*ea),Xt===0){const Or=wn(ot);if(!Or)return;x[We].x-=Or*yr,x[We].y-=Or*na,x[We].z-=Or*ea;return}if(Bt===0||Vt===0){const Or=on(ot,re,ae);if(!Or)return;x[We].x-=Or*yr,x[We].y-=Or*na,x[We].z-=Or*ea;return}const jr=qn(ot);if(!jr)return;x[We].x-=jr*yr,x[We].y-=jr*na,x[We].z-=jr*ea}})}updateVelocity(a,y,x,b){const{damping:z,maxSpeed:te,interval:re,dimensions:ae}=b,se=a.getAllNodes();se!=null&&se.length&&se.forEach(fe=>{const{id:me}=fe;let xe=(x[me].x+y[me].x*re)*z||.01,Te=(x[me].y+y[me].y*re)*z||.01,ke=ae===3?(x[me].z+y[me].z*re)*z||.01:0;const We=Math.sqrt(xe*xe+Te*Te+ke*ke);if(We>te){const je=te/We;xe=je*xe,Te=je*Te,ke=je*ke}x[me]={x:xe,y:Te,z:ke}})}updatePosition(a,y,x,b){const{distanceThresholdMode:z,interval:te,dimensions:re}=b,ae=y.getAllNodes();if(!(ae!=null&&ae.length)){this.judgingDistance=0;return}let se=0;z==="max"?this.judgingDistance=-1/0:z==="min"&&(this.judgingDistance=1/0),ae.forEach(fe=>{const{id:me}=fe,xe=a.getNode(me);if(Oi(xe.data.fx)&&Oi(xe.data.fy)){y.mergeNodeData(me,{x:xe.data.fx,y:xe.data.fy,z:re===3?xe.data.fz:void 0});return}const Te=x[me].x*te,ke=x[me].y*te,We=re===3?x[me].z*te:0;y.mergeNodeData(me,{x:fe.data.x+Te,y:fe.data.y+ke,z:fe.data.z+We});const je=Math.sqrt(Te*Te+ke*ke+We*We);switch(z){case"max":this.judgingDistance<je&&(this.judgingDistance=je);break;case"min":this.judgingDistance>je&&(this.judgingDistance=je);break;default:se=se+je;break}}),(!z||z==="mean")&&(this.judgingDistance=se/ae.length)}}const z5=(E,a)=>{const y=E.getAllNodes();if(!(y!=null&&y.length))return{};const x={};return y.forEach((b,z)=>{E.getDegree(b.id,"both")===1&&(x[b.id]=k9(E,"leaf",b,a))}),x},k9=(E,a,y,x)=>{const b=E.getDegree(y.id,"in"),z=E.getDegree(y.id,"out");let te=y,re=[];b===0?(te=E.getSuccessors(y.id)[0],re=E.getNeighbors(te.id)):z===0&&(te=E.getPredecessors(y.id)[0],re=E.getNeighbors(te.id)),re=re.filter(se=>E.getDegree(se.id,"in")===0||E.getDegree(se.id,"out")===0);const ae=z9(E,a,x,y,re);return{coreNode:te,siblingLeaves:re,sameTypeLeaves:ae}},z9=(E,a,y,x,b)=>{const z=x.data[y]||"";let te=(b==null?void 0:b.filter(re=>re.data[y]===z))||[];return a==="leaf"&&(te=te.filter(re=>E.getDegree(re.id,"in")===0||E.getDegree(re.id,"out")===0)),te},U5=E=>{const a={x:0,y:0};E.forEach(x=>{const{x:b,y:z}=x.data;a.x+=b||0,a.y+=z||0});const y=E.length||1;return{x:a.x/y,y:a.y/y}},cx=(E,a)=>a.map(y=>{const{id:x,data:b}=y,z=E.getNode(x);return Object.assign(Object.assign({},z),{data:Object.assign(Object.assign({},z.data),{x:b.x,y:b.y,z:b.z})})});var Es=Oe(94138);const XJ=Es.XA,JJ=Es.a_,qJ=Es.yQ,$J=Es.Hs,eq=Es.Ec,tq=Es.dx,nq=Es.LU,rq=Es.Rm,yh=Es.y3,aq=Es.qK,iq=Es.pb,oq=Es.j,sq=Es.sO,lq=Es.BZ,uq=Es.EK,cq=Es.Db,dq=Es.Fx,fq=Es.tU,hq=Es.Ym,gq=Es.rs,vq=Es.QR,mq=Es.TB,pq=Es.oH,W5=Es.Sc,yq=Es.BN,Eq=Es.it,Aq=Es.$r,xq=Es.QM,Sq=Es.AV;var bq=(Es.y3,Es.y3);const Cq=Es.GH,Pq=Es.SO,wq=Es.uZ,Mq=Es.yU,Dq=Es.F1,Iq=Es.re,j5=E=>{const a=[],y=E.length;for(let x=0;x<y;x+=1){a[x]=[];for(let b=0;b<y;b+=1)x===b?a[x][b]=0:E[x][b]===0||!E[x][b]?a[x][b]=1/0:a[x][b]=E[x][b]}for(let x=0;x<y;x+=1)for(let b=0;b<y;b+=1)for(let z=0;z<y;z+=1)a[b][z]>a[b][x]+a[x][z]&&(a[b][z]=a[b][x]+a[x][z]);return a},G5=(E,a)=>{const{nodes:y,edges:x}=E,b=[],z={};if(!y)throw new Error("invalid nodes data!");return y&&y.forEach((te,re)=>{z[te.id]=re;const ae=[];b.push(ae)}),x==null||x.forEach(te=>{const{source:re,target:ae}=te,se=z[re],fe=z[ae];se===void 0||fe===void 0||(b[se][fe]=1,a||(b[fe][se]=1))}),b},U9=(E,a)=>{const y=[];return E.forEach(x=>{const b=[];x.forEach(z=>{b.push(z*a)}),y.push(b)}),y},W9=E=>{let a=1/0,y=1/0,x=-1/0,b=-1/0;return E.forEach(z=>{let te=z.data.size;Rf(te)?te.length===1&&(te=[te[0],te[0]]):Oi(te)?te=[te,te]:(te===void 0||isNaN(te))&&(te=[30,30]);const re=[te[0]/2,te[1]/2],ae=z.data.x-re[0],se=z.data.x+re[0],fe=z.data.y-re[1],me=z.data.y+re[1];a>ae&&(a=ae),y>fe&&(y=fe),x<se&&(x=se),b<me&&(b=me)}),{minX:a,minY:y,maxX:x,maxY:b}},V5=(E,a)=>Math.sqrt((E.x-a.x)*(E.x-a.x)+(E.y-a.y)*(E.y-a.y)),dx=(E,a,y,x="TB",b,z={})=>{if(!(a!=null&&a.length))return;const{stopBranchFn:te,stopAllFn:re}=z;for(let ae=0;ae<a.length;ae++){const se=a[ae];if(E.hasNode(se.id)&&!(te!=null&&te(se))){if(re!=null&&re(se))return;x==="TB"&&y(se),dx(E,E.getChildren(se.id,b),y,x,b,z),x!=="TB"&&y(se)}}},j9={center:[0,0],linkDistance:50};class H5{constructor(a={}){this.options=a,this.id="mds",this.options=Object.assign(Object.assign({},j9),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericMDSLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericMDSLayout(!0,a,y)})}genericMDSLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=Object.assign(Object.assign({},this.options),x),{center:z=[0,0],linkDistance:te=50}=b,re=y.getAllNodes(),ae=y.getAllEdges();if(!(re!=null&&re.length)||re.length===1)return Pg(y,a,z);const se=G5({nodes:re,edges:ae},!1),fe=j5(se);G9(fe);const me=U9(fe,te),xe=V9(me),Te=[];return xe.forEach((We,je)=>{const Ke=Wc(re[je]);Ke.data.x=We[0]+z[0],Ke.data.y=We[1]+z[1],Te.push(Ke)}),a&&Te.forEach(We=>y.mergeNodeData(We.id,{x:We.data.x,y:We.data.y})),{nodes:Te,edges:ae}})}}const G9=E=>{let a=-999999;E.forEach(y=>{y.forEach(x=>{x!==1/0&&a<x&&(a=x)})}),E.forEach((y,x)=>{y.forEach((b,z)=>{b===1/0&&(E[x][z]=a)})})},V9=E=>{const y=yh.mul(yh.pow(E,2),-.5),x=y.mean("row"),b=y.mean("column"),z=y.mean();y.add(z).subRowVector(x).subColumnVector(b);const te=new W5(y),re=yh.sqrt(te.diagonalMatrix).diagonal();return te.leftSingularVectors.toJSON().map(ae=>yh.mul([ae],[re]).toJSON()[0].splice(0,2))};function fx(E){return!!E.tick&&!!E.stop}const H9={gForce:!0,force2:!0,d3force:!0,fruchterman:!0,forceAtlas2:!0,force:!0,"graphin-force":!0},K9={center:[0,0],comboPadding:10,treeKey:"combo"};class Z9{constructor(a={}){this.options=a,this.id="comboCombined",this.options=Object.assign(Object.assign({},K9),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericComboCombinedLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericComboCombinedLayout(!0,a,y)})}genericComboCombinedLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=this.initVals(Object.assign(Object.assign({},this.options),x)),{center:z,treeKey:te,outerLayout:re}=b,ae=y.getAllNodes().filter(lt=>!lt.data._isCombo),se=y.getAllNodes().filter(lt=>lt.data._isCombo),fe=y.getAllEdges(),me=ae==null?void 0:ae.length;if(!me||me===1)return Pg(y,a,z);const xe=[],Te=new Map;ae.forEach(lt=>{Te.set(lt.id,lt)});const ke=new Map;se.forEach(lt=>{ke.set(lt.id,lt)});const We=new Map,je=this.getInnerGraphs(y,te,Te,ke,fe,b,We);yield Promise.all(je);const Ke=new Map,Qe=[],Je=new Map;let rt=!0;y.getRoots(te).forEach(lt=>{const Dt=We.get(lt.id),Bt=ke.get(lt.id)||Te.get(lt.id),Vt={id:lt.id,data:Object.assign(Object.assign({},lt.data),{x:Dt.data.x||Bt.data.x,y:Dt.data.y||Bt.data.y,fx:Dt.data.fx||Bt.data.fx,fy:Dt.data.fy||Bt.data.fy,mass:Dt.data.mass||Bt.data.mass,size:Dt.data.size})};Qe.push(Vt),Ke.set(lt.id,!0),!isNaN(Vt.data.x)&&Vt.data.x!==0&&!isNaN(Vt.data.y)&&Vt.data.y!==0?rt=!1:(Vt.data.x=Math.random()*100,Vt.data.y=Math.random()*100),dx(y,[lt],Xt=>{Xt.id!==lt.id&&Je.set(Xt.id,lt.id)},"TB",te)});const ot=[];fe.forEach(lt=>{const Dt=Je.get(lt.source)||lt.source,Bt=Je.get(lt.target)||lt.target;Dt!==Bt&&Ke.has(Dt)&&Ke.has(Bt)&&ot.push({id:lt.id,source:Dt,target:Bt,data:{}})});let ut;if(Qe!=null&&Qe.length){if(Qe.length===1)Qe[0].data.x=z[0],Qe[0].data.y=z[1];else{const lt=new Zl({nodes:Qe,edges:ot}),Dt=re||new k5;rt&&H9[Dt.id]&&(yield(Qe.length<100?new H5:new ox).assign(lt));const Bt=Object.assign({center:z,kg:5,preventOverlap:!0,animate:!1},Dt.id==="force"?{gravity:1,factor:4,linkDistance:(Vt,Xt,vn)=>{const on=Math.max(...Xt.data.size)||32,wn=Math.max(...vn.data.size)||32;return on/2+wn/2+200}}:{});ut=yield K5(Dt,lt,Bt)}We.forEach(lt=>{var Dt;const Bt=ut.nodes.find(vn=>vn.id===lt.id);if(Bt){const{x:vn,y:on}=Bt.data;lt.data.visited=!0,lt.data.x=vn,lt.data.y=on,xe.push({id:lt.id,data:{x:vn,y:on}})}const{x:Vt,y:Xt}=lt.data;(Dt=lt.data.nodes)===null||Dt===void 0||Dt.forEach(vn=>{xe.push({id:vn.id,data:{x:vn.data.x+Vt,y:vn.data.y+Xt}})})}),We.forEach(({data:lt})=>{const{x:Dt,y:Bt,visited:Vt,nodes:Xt}=lt;Xt==null||Xt.forEach(vn=>{if(!Vt){const on=xe.find(wn=>wn.id===vn.id);on.data.x+=Dt||0,on.data.y+=Bt||0}})})}return 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z.initialize=function(re){y=re,te()},z.strength=function(re){return arguments.length?(a=typeof re=="function"?re:cu(+re),te(),z):a},z.x=function(re){return arguments.length?(E=typeof re=="function"?re:cu(+re),te(),z):E},z}function Ez(E){var a=cu(.1),y,x,b;typeof E!="function"&&(E=cu(E==null?0:+E));function z(re){for(var ae=0,se=y.length,fe;ae<se;++ae)fe=y[ae],fe.vy+=(b[ae]-fe.y)*x[ae]*re}function te(){if(y){var re,ae=y.length;for(x=new Array(ae),b=new Array(ae),re=0;re<ae;++re)x[re]=isNaN(b[re]=+E(y[re],re,y))?0:+a(y[re],re,y)}}return z.initialize=function(re){y=re,te()},z.strength=function(re){return arguments.length?(a=typeof re=="function"?re:cu(+re),te(),z):a},z.y=function(re){return arguments.length?(E=typeof re=="function"?re:cu(+re),te(),z):E},z}class Az{constructor(a){this.id="d3-force",this.config={inputNodeAttrs:["x","y","vx","vy","fx","fy"],outputNodeAttrs:["x","y","vx","vy"],simulationAttrs:["alpha","alphaMin","alphaDecay","alphaTarget","velocityDecay","randomSource"]},this.forceMap={link:Y9,manyBody:fz,center:hz,collide:mz,radial:pz,x:yz,y:Ez},this.options={link:{id:y=>y.id},manyBody:{},center:{x:0,y:0}},this.context={options:{},assign:!1,nodes:[],edges:[]},nc(this.options,a),this.options.forceSimulation&&(this.simulation=this.options.forceSimulation)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericLayout(!0,a,y)})}stop(){this.simulation.stop()}tick(a){return this.simulation.tick(a),this.getResult()}restart(){this.simulation.restart()}setFixedPosition(a,y){const x=this.context.nodes.find(b=>b.id===a);x&&y.forEach((b,z)=>{if(typeof b=="number"||b===null){const te=["fx","fy","fz"][z];x[te]=b}})}getOptions(a){var y,x;const b=nc({},this.options,a);return b.collide&&((y=b.collide)===null||y===void 0?void 0:y.radius)===void 0&&(b.collide=b.collide||{},b.collide.radius=(x=b.nodeSize)!==null&&x!==void 0?x:10),b.iterations===void 0&&(b.link&&b.link.iterations===void 0&&(b.iterations=b.link.iterations),b.collide&&b.collide.iterations===void 0&&(b.iterations=b.collide.iterations)),this.context.options=b,b}genericLayout(a,y,x){var b;return(0,Rt.mG)(this,void 0,void 0,function*(){const z=this.getOptions(x),te=y.getAllNodes().map(({id:fe,data:me})=>Object.assign(Object.assign({id:fe},me),xg(me.data,this.config.inputNodeAttrs))),re=y.getAllEdges().map(fe=>Object.assign({},fe));Object.assign(this.context,{assign:a,nodes:te,edges:re,graph:y});const ae=new Promise(fe=>{this.resolver=fe}),se=this.setSimulation(z);return se.nodes(te),(b=se.force("link"))===null||b===void 0||b.links(re),ae})}getResult(){const{assign:a,nodes:y,edges:x,graph:b}=this.context,z=y.map(re=>({id:re.id,data:Object.assign(Object.assign({},re.data),xg(re,this.config.outputNodeAttrs))})),te=x.map(({id:re,source:ae,target:se,data:fe})=>({id:re,source:typeof ae=="object"?ae.id:ae,target:typeof se=="object"?se.id:se,data:fe}));return a&&z.forEach(re=>b.mergeNodeData(re.id,re.data)),{nodes:z,edges:te}}initSimulation(){return dz()}setSimulation(a){const y=this.simulation||this.options.forceSimulation||this.initSimulation();return this.simulation||(this.simulation=y.on("tick",()=>{var x;return(x=a.onTick)===null||x===void 0?void 0:x.call(a,this.getResult())}).on("end",()=>{var x;return(x=this.resolver)===null||x===void 0?void 0:x.call(this,this.getResult())})),nM(y,this.config.simulationAttrs.map(x=>[x,a[x]])),Object.entries(this.forceMap).forEach(([x,b])=>{const z=x;if(a[x]){let te=y.force(z);te||(te=b(),y.force(z,te)),nM(te,Object.entries(a[z]))}else y.force(z,null)}),y}}const nM=(E,a)=>a.reduce((y,[x,b])=>!y[x]||b===void 0?y:y[x].call(E,b),E);var rM=Oe(92546),xz=Oe.n(rM);class Ey{constructor(a){this.id="dagre",this.options={},Object.assign(this.options,Ey.defaultOptions,a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericDagreLayout(!1,a,Object.assign(Object.assign({},this.options),y))})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericDagreLayout(!0,a,Object.assign(Object.assign({},this.options),y))})}genericDagreLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const{nodeSize:b}=x,z=new rM.graphlib.Graph;z.setGraph(x),z.setDefaultEdgeLabel(()=>({}));const te=y.getAllNodes(),re=y.getAllEdges();[...te,...re].some(({id:se})=>Oi(se))&&console.error("Dagre layout only support string id, it will convert number to string."),y.getAllNodes().forEach(se=>{const{id:fe}=se,me=Object.assign({},se.data);if(b!==void 0){const[xe,Te]=Mv(Gi(b)?b(se):b);Object.assign(me,{width:xe,height:Te})}z.setNode(fe.toString(),me)}),y.getAllEdges().forEach(({id:se,source:fe,target:me})=>{z.setEdge(fe.toString(),me.toString(),{id:se})}),xz().layout(z);const ae={nodes:[],edges:[]};return z.nodes().forEach(se=>{const fe=z.node(se);ae.nodes.push({id:se,data:fe}),a&&y.mergeNodeData(se,fe)}),z.edges().forEach(se=>{const fe=z.edge(se),{id:me}=fe,xe=(0,Rt._T)(fe,["id"]),{v:Te,w:ke}=se;ae.edges.push({id:me,source:Te,target:ke,data:xe}),a&&y.mergeEdgeData(me,xe)}),ae})}}Ey.defaultOptions={};class vx{constructor(a){this.id=a.id||0,this.rx=a.rx,this.ry=a.ry,this.fx=0,this.fy=0,this.mass=a.mass,this.degree=a.degree,this.g=a.g||0}distanceTo(a){const y=this.rx-a.rx,x=this.ry-a.ry;return Math.hypot(y,x)}setPos(a,y){this.rx=a,this.ry=y}resetForce(){this.fx=0,this.fy=0}addForce(a){const y=a.rx-this.rx,x=a.ry-this.ry;let b=Math.hypot(y,x);b=b<1e-4?1e-4:b;const z=this.g*(this.degree+1)*(a.degree+1)/b;this.fx+=z*y/b,this.fy+=z*x/b}in(a){return a.contains(this.rx,this.ry)}add(a){const y=this.mass+a.mass,x=(this.rx*this.mass+a.rx*a.mass)/y,b=(this.ry*this.mass+a.ry*a.mass)/y,z=this.degree+a.degree,te={rx:x,ry:b,mass:y,degree:z};return new vx(te)}}class p0{constructor(a){this.xmid=a.xmid,this.ymid=a.ymid,this.length=a.length,this.massCenter=a.massCenter||[0,0],this.mass=a.mass||1}getLength(){return this.length}contains(a,y){const x=this.length/2;return a<=this.xmid+x&&a>=this.xmid-x&&y<=this.ymid+x&&y>=this.ymid-x}NW(){const a=this.xmid-this.length/4,y=this.ymid+this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}NE(){const a=this.xmid+this.length/4,y=this.ymid+this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}SW(){const a=this.xmid-this.length/4,y=this.ymid-this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}SE(){const a=this.xmid+this.length/4,y=this.ymid-this.length/4,x=this.length/2,b={xmid:a,ymid:y,length:x};return new p0(b)}}class y0{constructor(a){this.body=null,this.quad=null,this.NW=null,this.NE=null,this.SW=null,this.SE=null,this.theta=.5,a!=null&&(this.quad=a)}insert(a){if(this.body==null){this.body=a;return}this._isExternal()?(this.quad&&(this.NW=new y0(this.quad.NW()),this.NE=new y0(this.quad.NE()),this.SW=new y0(this.quad.SW()),this.SE=new y0(this.quad.SE())),this._putBody(this.body),this._putBody(a),this.body=this.body.add(a)):(this.body=this.body.add(a),this._putBody(a))}_putBody(a){this.quad&&(a.in(this.quad.NW())&&this.NW?this.NW.insert(a):a.in(this.quad.NE())&&this.NE?this.NE.insert(a):a.in(this.quad.SW())&&this.SW?this.SW.insert(a):a.in(this.quad.SE())&&this.SE&&this.SE.insert(a))}_isExternal(){return this.NW==null&&this.NE==null&&this.SW==null&&this.SE==null}updateForce(a){if(!(this.body==null||a===this.body))if(this._isExternal())a.addForce(this.body);else{const y=this.quad?this.quad.getLength():0,x=this.body.distanceTo(a);y/x<this.theta?a.addForce(this.body):(this.NW&&this.NW.updateForce(a),this.NE&&this.NE.updateForce(a),this.SW&&this.SW.updateForce(a),this.SE&&this.SE.updateForce(a))}}}const Sz={center:[0,0],width:300,height:300,kr:5,kg:1,mode:"normal",preventOverlap:!1,dissuadeHubs:!1,maxIteration:0,ks:.1,ksmax:10,tao:.1};class bz{constructor(a={}){this.options=a,this.id="forceAtlas2",this.options=Object.assign(Object.assign({},Sz),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericForceAtlas2Layout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericForceAtlas2Layout(!0,a,y)})}genericForceAtlas2Layout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){const b=y.getAllEdges(),z=y.getAllNodes(),te=this.formatOptions(x,z.length),{width:re,height:ae,prune:se,maxIteration:fe,nodeSize:me,center:xe}=te;if(!(z!=null&&z.length)||z.length===1)return Pg(y,a,xe);const Te=z.map(Ke=>Wc(Ke,[re,ae])),ke=b.filter(Ke=>{const{source:Qe,target:Je}=Ke;return Qe!==Je}),We=new Zl({nodes:Te,edges:ke}),je=this.getSizes(We,me);if(this.run(We,y,fe,je,a,te),se){for(let Qe=0;Qe<ke.length;Qe+=1){const{source:Je,target:rt}=ke[Qe],ot=We.getDegree(Je),ut=We.getDegree(Je);if(ot<=1){const ft=We.getNode(rt);We.mergeNodeData(Je,{x:ft.data.x,y:ft.data.y})}else if(ut<=1){const ft=We.getNode(Je);We.mergeNodeData(rt,{x:ft.data.x,y:ft.data.y})}}const Ke=Object.assign(Object.assign({},te),{prune:!1,barnesHut:!1});this.run(We,y,100,je,a,Ke)}return{nodes:Te,edges:b}})}getSizes(a,y){const x=a.getAllNodes(),b={};for(let z=0;z<x.length;z+=1){const te=x[z];b[te.id]=ax(y,void 0)(te)}return b}formatOptions(a={},y){const x=Object.assign(Object.assign({},this.options),a),{center:b,width:z,height:te,barnesHut:re,prune:ae,maxIteration:se,kr:fe,kg:me}=x;return x.width=!z&&typeof window!="undefined"?window.innerWidth:z,x.height=!te&&typeof window!="undefined"?window.innerHeight:te,x.center=b||[x.width/2,x.height/2],re===void 0&&y>250&&(x.barnesHut=!0),ae===void 0&&y>100&&(x.prune=!0),se===0&&!ae?(x.maxIteration=250,y<=200&&y>100?x.maxIteration=1e3:y>200&&(x.maxIteration=1200)):se===0&&ae&&(x.maxIteration=100,y<=200&&y>100?x.maxIteration=500:y>200&&(x.maxIteration=950)),fe||(x.kr=50,y>100&&y<=500?x.kr=20:y>500&&(x.kr=1)),me||(x.kg=20,y>100&&y<=500?x.kg=10:y>500&&(x.kg=1)),x}run(a,y,x,b,z,te){const{kr:re,barnesHut:ae,onTick:se}=te,fe=a.getAllNodes();let me=0,xe=x;const Te={},ke={},We={};for(let je=0;je<fe.length;je+=1){const{data:Ke,id:Qe}=fe[je];if(Te[Qe]=[0,0],ae){const Je={id:je,rx:Ke.x,ry:Ke.y,mass:1,g:re,degree:a.getDegree(Qe)};We[Qe]=new vx(Je)}}for(;xe>0;)me=this.oneStep(a,{iter:xe,preventOverlapIters:50,krPrime:100,sg:me,forces:Te,preForces:ke,bodies:We,sizes:b},te),xe--,se==null||se({nodes:fe,edges:y.getAllEdges()});return a}oneStep(a,y,x){const{iter:b,preventOverlapIters:z,krPrime:te,sg:re,preForces:ae,bodies:se,sizes:fe}=y;let{forces:me}=y;const{preventOverlap:xe,barnesHut:Te}=x,ke=a.getAllNodes();for(let We=0;We<ke.length;We+=1){const{id:je}=ke[We];ae[je]=[...me[je]],me[je]=[0,0]}return me=this.getAttrForces(a,b,z,fe,me,x),Te&&(xe&&b>z||!xe)?me=this.getOptRepGraForces(a,me,se,x):me=this.getRepGraForces(a,b,z,me,te,fe,x),this.updatePos(a,me,ae,re,x)}getAttrForces(a,y,x,b,z,te){const{preventOverlap:re,dissuadeHubs:ae,mode:se,prune:fe}=te,me=a.getAllEdges();for(let xe=0;xe<me.length;xe+=1){const{source:Te,target:ke}=me[xe],We=a.getNode(Te),je=a.getNode(ke),Ke=a.getDegree(Te),Qe=a.getDegree(ke);if(fe&&(Ke<=1||Qe<=1))continue;const Je=[je.data.x-We.data.x,je.data.y-We.data.y];let rt=Math.hypot(Je[0],Je[1]);rt=rt<1e-4?1e-4:rt,Je[0]=Je[0]/rt,Je[1]=Je[1]/rt,re&&y<x&&(rt=rt-b[Te]-b[ke]);let ot=rt,ut=ot;se==="linlog"&&(ot=Math.log(1+rt),ut=ot),ae&&(ot=rt/Ke,ut=rt/Qe),re&&y<x&&rt<=0?(ot=0,ut=0):re&&y<x&&rt>0&&(ot=rt,ut=rt),z[Te][0]+=ot*Je[0],z[ke][0]-=ut*Je[0],z[Te][1]+=ot*Je[1],z[ke][1]-=ut*Je[1]}return z}getOptRepGraForces(a,y,x,b){const{kg:z,center:te,prune:re}=b,ae=a.getAllNodes(),se=ae.length;let fe=9e10,me=-9e10,xe=9e10,Te=-9e10;for(let Qe=0;Qe<se;Qe+=1){const{id:Je,data:rt}=ae[Qe];re&&a.getDegree(Je)<=1||(x[Je].setPos(rt.x,rt.y),rt.x>=me&&(me=rt.x),rt.x<=fe&&(fe=rt.x),rt.y>=Te&&(Te=rt.y),rt.y<=xe&&(xe=rt.y))}const ke=Math.max(me-fe,Te-xe),We={xmid:(me+fe)/2,ymid:(Te+xe)/2,length:ke,massCenter:te,mass:se},je=new p0(We),Ke=new y0(je);for(let Qe=0;Qe<se;Qe+=1){const{id:Je}=ae[Qe];re&&a.getDegree(Je)<=1||x[Je].in(je)&&Ke.insert(x[Je])}for(let Qe=0;Qe<se;Qe+=1){const{id:Je,data:rt}=ae[Qe],ot=a.getDegree(Je);if(re&&ot<=1)continue;x[Je].resetForce(),Ke.updateForce(x[Je]),y[Je][0]-=x[Je].fx,y[Je][1]-=x[Je].fy;const ut=[rt.x-te[0],rt.y-te[1]];let ft=Math.hypot(ut[0],ut[1]);ft=ft<1e-4?1e-4:ft,ut[0]=ut[0]/ft,ut[1]=ut[1]/ft;const lt=z*(ot+1);y[Je][0]-=lt*ut[0],y[Je][1]-=lt*ut[1]}return y}getRepGraForces(a,y,x,b,z,te,re){const{preventOverlap:ae,kr:se,kg:fe,center:me,prune:xe}=re,Te=a.getAllNodes(),ke=Te.length;for(let We=0;We<ke;We+=1){const je=Te[We],Ke=a.getDegree(je.id);for(let ot=We+1;ot<ke;ot+=1){const ut=Te[ot],ft=a.getDegree(ut.id);if(xe&&(Ke<=1||ft<=1))continue;const lt=[ut.data.x-je.data.x,ut.data.y-je.data.y];let Dt=Math.hypot(lt[0],lt[1]);Dt=Dt<1e-4?1e-4:Dt,lt[0]=lt[0]/Dt,lt[1]=lt[1]/Dt,ae&&y<x&&(Dt=Dt-te[je.id]-te[ut.id]);let Bt=se*(Ke+1)*(ft+1)/Dt;ae&&y<x&&Dt<0?Bt=z*(Ke+1)*(ft+1):ae&&y<x&&Dt===0?Bt=0:ae&&y<x&&Dt>0&&(Bt=se*(Ke+1)*(ft+1)/Dt),b[je.id][0]-=Bt*lt[0],b[ut.id][0]+=Bt*lt[0],b[je.id][1]-=Bt*lt[1],b[ut.id][1]+=Bt*lt[1]}const Qe=[je.data.x-me[0],je.data.y-me[1]],Je=Math.hypot(Qe[0],Qe[1]);Qe[0]=Qe[0]/Je,Qe[1]=Qe[1]/Je;const rt=fe*(Ke+1);b[je.id][0]-=rt*Qe[0],b[je.id][1]-=rt*Qe[1]}return b}updatePos(a,y,x,b,z){const{ks:te,tao:re,prune:ae,ksmax:se}=z,fe=a.getAllNodes(),me=fe.length,xe=[],Te=[];let ke=0,We=0,je=b;for(let Qe=0;Qe<me;Qe+=1){const{id:Je}=fe[Qe],rt=a.getDegree(Je);if(ae&&rt<=1)continue;const ot=[y[Je][0]-x[Je][0],y[Je][1]-x[Je][1]],ut=Math.hypot(ot[0],ot[1]),ft=[y[Je][0]+x[Je][0],y[Je][1]+x[Je][1]],lt=Math.hypot(ft[0],ft[1]);xe[Qe]=ut,Te[Qe]=lt/2,ke+=(rt+1)*xe[Qe],We+=(rt+1)*Te[Qe]}const Ke=je;je=re*We/ke,Ke!==0&&(je=je>1.5*Ke?1.5*Ke:je);for(let Qe=0;Qe<me;Qe+=1){const{id:Je,data:rt}=fe[Qe],ot=a.getDegree(Je);if(ae&&ot<=1||Oi(rt.fx)&&Oi(rt.fy))continue;let ut=te*je/(1+je*Math.sqrt(xe[Qe])),ft=Math.hypot(y[Je][0],y[Je][1]);ft=ft<1e-4?1e-4:ft;const lt=se/ft;ut=ut>lt?lt:ut;const Dt=ut*y[Je][0],Bt=ut*y[Je][1];a.mergeNodeData(Je,{x:rt.x+Dt,y:rt.y+Bt})}return je}}const Cz={maxIteration:1e3,gravity:10,speed:5,clustering:!1,clusterGravity:10,width:300,height:300,nodeClusterBy:"cluster"},Pz=800;class wz{constructor(a={}){this.options=a,this.id="fruchterman",this.timeInterval=0,this.running=!1,this.options=Object.assign(Object.assign({},Cz),a)}execute(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){return this.genericFruchtermanLayout(!1,a,y)})}assign(a,y){return(0,Rt.mG)(this,void 0,void 0,function*(){yield this.genericFruchtermanLayout(!0,a,y)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(a=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let x=0;x<a;x++)this.runOneStep(this.lastGraph,this.lastClusterMap,this.lastOptions);const y={nodes:this.lastLayoutNodes,edges:this.lastLayoutEdges};return this.lastAssign&&y.nodes.forEach(x=>this.lastGraph.mergeNodeData(x.id,{x:x.data.x,y:x.data.y,z:this.options.dimensions===3?x.data.z:void 0})),y}genericFruchtermanLayout(a,y,x){return(0,Rt.mG)(this,void 0,void 0,function*(){if(this.running)return;const 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Promise(Je=>{this.timeInterval=window.setInterval(()=>{if(!this.running){Je({nodes:We,edges:ke});return}this.runOneStep(je,Ke,b),a&&We.forEach(({id:rt,data:ot})=>y.mergeNodeData(rt,{x:ot.x,y:ot.y,z:z===3?ot.z:void 0})),xe==null||xe({nodes:We,edges:ke}),Qe++,Qe>=me&&(window.clearInterval(this.timeInterval),Je({nodes:We,edges:ke}))},0),this.running=!0})})}formatOptions(a={}){const y=Object.assign(Object.assign({},this.options),a),{clustering:x,nodeClusterBy:b}=y,{center:z,width:te,height:re}=y;return y.width=!te&&typeof window!="undefined"?window.innerWidth:te,y.height=!re&&typeof window!="undefined"?window.innerHeight:re,y.center=z||[y.width/2,y.height/2],y.clustering=x&&!!b,y}runOneStep(a,y,x){const{dimensions:b,height:z,width:te,gravity:re,center:ae,speed:se,clustering:fe,nodeClusterBy:me,clusterGravity:xe}=x,Te=z*te,ke=Math.sqrt(Te)/10,We=a.getAllNodes(),je=Te/(We.length+1),Ke=Math.sqrt(je),Qe={};if(this.applyCalculate(a,Qe,Ke,je),fe){for(const rt in 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lt=Math.min(ke*(se/Pz),ft);a.mergeNodeData(ot,{x:ut.x+Qe[ot].x/ft*lt,y:ut.y+Qe[ot].y/ft*lt,z:b===3?ut.z+Qe[ot].z/ft*lt:void 0})}})}applyCalculate(a,y,x,b){this.calRepulsive(a,y,b),this.calAttractive(a,y,x)}calRepulsive(a,y,x){const b=a.getAllNodes();b.forEach(({data:z,id:te},re)=>{y[te]={x:0,y:0,z:0},b.forEach(({data:ae,id:se},fe)=>{if(re<=fe||!Oi(z.x)||!Oi(ae.x)||!Oi(z.y)||!Oi(ae.y))return;let me=z.x-ae.x,xe=z.y-ae.y,Te=this.options.dimensions===3?z.z-ae.z:0,ke=me*me+xe*xe+Te*Te;ke===0&&(ke=1,me=.01,xe=.01,Te=.01);const We=x/ke,je=me*We,Ke=xe*We,Qe=Te*We;y[te].x+=je,y[te].y+=Ke,y[se].x-=je,y[se].y-=Ke,this.options.dimensions===3&&(y[te].z+=Qe,y[se].z-=Qe)})})}calAttractive(a,y,x){a.getAllEdges().forEach(z=>{const{source:te,target:re}=z;if(!te||!re||te===re)return;const{data:ae}=a.getNode(te),{data:se}=a.getNode(re);if(!Oi(se.x)||!Oi(ae.x)||!Oi(se.y)||!Oi(ae.y))return;const 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x.has(Tl.TOP)?x.has(Tl.LEFT)?Ah(a,y,this.x,this.y):x.has(Tl.RIGHT)?Ah(a,y,this.x2,this.y):(this.y-y)*(this.y-y):x.has(Tl.BOTTOM)?x.has(Tl.LEFT)?Ah(a,y,this.x,this.y2):x.has(Tl.RIGHT)?Ah(a,y,this.x2,this.y2):(y-this.y2)*(y-this.y2):x.has(Tl.LEFT)?(this.x-a)*(this.x-a):x.has(Tl.RIGHT)?(a-this.x2)*(a-this.x2):0}}function sU(E){if(E.length===0)return null;const a=E[0],y=new Vu(a.x,a.y,0,0);for(const x of E)y.addPoint(x);return y}class My{constructor(a,y,x){this.cx=a,this.cy=y,this.radius=x}get x(){return this.cx-this.radius}get x2(){return this.cx+this.radius}get width(){return this.radius*2}get y(){return this.cy-this.radius}get y2(){return this.cy+this.radius}get height(){return this.radius*2}static from(a){return new My(a.cx,a.cy,a.radius)}containsPt(a,y){return Ah(this.cx,this.cy,a,y)<this.radius*this.radius}distSquare(a,y){const x=Ah(this.cx,this.cy,a,y);if(x<this.radius*this.radius)return 0;const b=Math.sqrt(x)-this.radius;return b*b}draw(a){a.ellipse(this.cx,this.cy,this.radius,this.radius,0,0,Math.PI*2)}}class Mg{constructor(a,y=0,x=0,b=0,z=0,te=10,re=10,ae=new Float32Array(Math.max(0,te*re)).fill(0)){this.pixelGroup=a,this.i=y,this.j=x,this.pixelX=b,this.pixelY=z,this.width=te,this.height=re,this.area=ae}createSub(a,y){return new Mg(this.pixelGroup,a.x,a.y,y.x,y.y,a.width,a.height)}static fromPixelRegion(a,y){return new Mg(y,0,0,a.x,a.y,Math.ceil(a.width/y),Math.ceil(a.height/y))}copy(a,y){return new Mg(this.pixelGroup,this.scaleX(y.x),this.scaleY(y.y),y.x,y.y,a.width,a.height,a.area)}boundX(a){return a<this.i?this.i:a>=this.width?this.width-1:a}boundY(a){return a<this.j?this.j:a>=this.height?this.height-1:a}scaleX(a){return this.boundX(Math.floor((a-this.pixelX)/this.pixelGroup))}scaleY(a){return this.boundY(Math.floor((a-this.pixelY)/this.pixelGroup))}scale(a){const 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We=xh(xe,z)||xh(xe,b);for(ke=Dy(xe,a);!We&&ke&&me>=1;)me/=1.5,xe=Iy(se,me,fe,!1),We=xh(xe,z)||xh(xe,b),ke=Dy(xe,a);xe&&!We&&(z.push(new Au(ae.x1,ae.y1,xe.x,xe.y)),z.push(new Au(xe.x,xe.y,ae.x2,ae.y2)),te=!0),te||b.push(ae)}for(;z.length>0;)b.push(z.pop());return b}function hU(E,a){const y=[];for(;E.length>0;){const x=E.pop();if(E.length===0){y.push(x);break}const b=E.pop(),z=new Au(x.x1,x.y1,b.x2,b.y2);gM(a,z)?(y.push(x),E.push(b)):E.push(z)}return y}function gU(E,a,y){let x=Number.POSITIVE_INFINITY;return a.reduce((b,z)=>{const te=Ah(E.x,E.y,z.cx,z.cy);if(te>x)return b;const re=new Au(E.x,E.y,z.cx,z.cy),ae=mU(y,re);return te*(ae+1)*(ae+1)<x&&(b=z,x=te*(ae+1)*(ae+1)),b},null)}function vU(E){if(E.length<2)return E;let a=0,y=0;return E.forEach(x=>{a+=x.cx,y+=x.cy}),a/=E.length,y/=E.length,E.map(x=>{const b=a-x.cx,z=y-x.cy,te=b*b+z*z;return[x,te]}).sort((x,b)=>x[1]-b[1]).map(x=>x[0])}function Dy(E,a){return a.some(y=>y.containsPt(E.x,E.y))}function xh(E,a){return 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L`;return b=b.slice(0,-1),this.closed&&(b+=" Z"),b}draw(a){const y=this.points;if(y.length!==0){a.beginPath(),a.moveTo(y[0].x,y[0].y);for(const x of y)a.lineTo(x.x,x.y);this.closed&&a.closePath()}}sample(a){return xU(a)(this)}simplify(a){return yU(a)(this)}bSplines(a){return AU(a)(this)}apply(a){return a(this)}containsElements(a){const y=sU(this.points);return y?a.every(x=>y.containsPt(x.cx,x.cy)&&this.withinArea(x.cx,x.cy)):!1}withinArea(a,y){if(this.length===0)return!1;let x=0;const b=this.points[0],z=new Au(b.x,b.y,b.x,b.y);for(let te=1;te<this.points.length;te++){const re=this.points[te];z.x1=z.x2,z.y1=z.y2,z.x2=re.x,z.y2=re.y,z.cuts(a,y)&&x++}return z.x1=z.x2,z.y1=z.y2,z.x2=b.x,z.y2=b.y,z.cuts(a,y)&&x++,x%2===1}}class SU{constructor(a=0){this.count=0,this.arr=[],this.set=new Set,this.arr.length=a}add(a){this.set.add(`${a.x}x${a.y}`),this.arr[this.count++]=a}contains(a){return this.set.has(`${a.x}x${a.y}`)}isFirst(a){if(this.count===0)return!1;const y=this.arr[0];return y!=null&&y.x===a.x&&y.y===a.y}path(){return new Dg(this.arr.slice(0,this.count))}clear(){this.set.clear(),this.count=0}get(a){return this.arr[a]}get length(){return this.count}}const Tv=0,Ly=1,Oy=2,Cx=3;function bU(E,a){const y=(Math.floor(E.width)+Math.floor(E.height))*2,x=new SU(y);function b(ae,se,fe,me){const xe=E.get(ae,se);return Number.isNaN(xe)?Number.NaN:xe>a?fe+me:fe}function z(ae,se){let fe=Tv;return fe=b(ae,se,fe,1),fe=b(ae+1,se,fe,2),fe=b(ae,se+1,fe,4),fe=b(ae+1,se+1,fe,8),Number.isNaN(fe)?-1:fe}let te=Ly;function re(ae,se){let fe=ae,me=se,xe=E.invertScaleX(fe),Te=E.invertScaleY(me);for(let ke=0;ke<E.width*E.height;ke++){const We={x:xe,y:Te};if(x.contains(We)){if(x.isFirst(We))return!0}else x.add(We);const je=z(fe,me);switch(je){case-1:return!0;case 0:case 3:case 2:case 7:te=Oy;break;case 12:case 14:case 4:te=Cx;break;case 6:te=te===Tv?Cx:Oy;break;case 1:case 13:case 5:te=Tv;break;case 9:te=te===Oy?Tv:Ly;break;case 10:case 8:case 11:te=Ly;break;default:return console.warn("Marching squares invalid state: "+je),!0}switch(te){case Tv:me--,Te-=E.pixelGroup;break;case Ly:me++,Te+=E.pixelGroup;break;case Cx:fe--,xe-=E.pixelGroup;break;case Oy:fe++,xe+=E.pixelGroup;break;default:return console.warn("Marching squares invalid state: "+je),!0}}return!0}for(let ae=0;ae<E.width;ae++)for(let se=0;se<E.height;se++){if(E.get(ae,se)<=a)continue;const fe=z(ae,se);if(!(fe<0||fe===15)&&re(ae,se))return x.path()}return null}const Ty={maxRoutingIterations:100,maxMarchingIterations:20,pixelGroup:4,edgeR0:10,edgeR1:20,nodeR0:15,nodeR1:50,morphBuffer:10,threshold:1,memberInfluenceFactor:1,edgeInfluenceFactor:1,nonMemberInfluenceFactor:-.8,virtualEdges:!0};function Bv(E){return E!=null&&typeof E.radius=="number"}function vM(E,a){if(Bv(E)!==Bv(a))return!1;if(Bv(E)){const x=a;return E.cx===x.cx&&E.cy===x.cy&&E.radius===x.radius}const y=a;return E.x===y.x&&E.y===y.y&&E.width===y.width&&E.height===y.height}var _d;(function(E){E[E.MEMBERS=0]="MEMBERS",E[E.NON_MEMBERS=1]="NON_MEMBERS",E[E.EDGES=2]="EDGES"})(_d||(_d={}));class Px{constructor(a={}){this.dirty=new Set,this.members=[],this.nonMembers=[],this.virtualEdges=[],this.edges=[],this.activeRegion=new Vu(0,0,0,0),this.potentialArea=new Mg(1,0,0,0,0,0,0),this.o=Object.assign({},Ty,a)}pushMember(...a){if(a.length!==0){this.dirty.add(_d.MEMBERS);for(const y of a)this.members.push({raw:y,obj:Bv(y)?My.from(y):Vu.from(y),area:null})}}removeMember(a){const y=this.members.findIndex(x=>vM(x.raw,a));return y<0?!1:(this.members.splice(y,1),this.dirty.add(_d.MEMBERS),!0)}removeNonMember(a){const y=this.nonMembers.findIndex(x=>vM(x.raw,a));return y<0?!1:(this.nonMembers.splice(y,1),this.dirty.add(_d.NON_MEMBERS),!0)}removeEdge(a){const y=this.edges.findIndex(x=>x.obj.equals(a));return y<0?!1:(this.edges.splice(y,1),this.dirty.add(_d.NON_MEMBERS),!0)}pushNonMember(...a){if(a.length!==0){this.dirty.add(_d.NON_MEMBERS);for(const y of a)this.nonMembers.push({raw:y,obj:Bv(y)?My.from(y):Vu.from(y),area:null})}}pushEdge(...a){if(a.length!==0){this.dirty.add(_d.EDGES);for(const y of a)this.edges.push({raw:y,obj:Au.from(y),area:null})}}update(){const a=this.dirty.has(_d.MEMBERS),y=this.dirty.has(_d.NON_MEMBERS);let x=this.dirty.has(_d.EDGES);this.dirty.clear();const b=this.members.map(se=>se.obj);if(this.o.virtualEdges&&(a||y)){const se=this.nonMembers.map(xe=>xe.obj),fe=cU(b,se,this.o.maxRoutingIterations,this.o.morphBuffer),me=new Map(this.virtualEdges.map(xe=>[xe.obj.toString(),xe.area]));this.virtualEdges=fe.map(xe=>{var Te;return{raw:xe,obj:xe,area:(Te=me.get(xe.toString()))!==null&&Te!==void 0?Te:null}}),x=!0}let z=!1;if(a||x){const se=this.virtualEdges.concat(this.edges).map(Te=>Te.obj),fe=PU(b,se),me=Math.max(this.o.edgeR1,this.o.nodeR1)+this.o.morphBuffer,xe=Vu.from(dM(fe,me));xe.equals(this.activeRegion)||(z=!0,this.activeRegion=xe)}if(z){const se=Math.ceil(this.activeRegion.width/this.o.pixelGroup),fe=Math.ceil(this.activeRegion.height/this.o.pixelGroup);this.activeRegion.x!==this.potentialArea.pixelX||this.activeRegion.y!==this.potentialArea.pixelY?(this.potentialArea=Mg.fromPixelRegion(this.activeRegion,this.o.pixelGroup),this.members.forEach(me=>me.area=null),this.nonMembers.forEach(me=>me.area=null),this.edges.forEach(me=>me.area=null),this.virtualEdges.forEach(me=>me.area=null)):(se!==this.potentialArea.width||fe!==this.potentialArea.height)&&(this.potentialArea=Mg.fromPixelRegion(this.activeRegion,this.o.pixelGroup))}const te=new Map,re=se=>{if(se.area){const fe=`${se.obj.width}x${se.obj.height}x${se.obj instanceof Vu?"R":"C"}`;te.set(fe,se.area)}},ae=se=>{if(se.area)return;const fe=`${se.obj.width}x${se.obj.height}x${se.obj instanceof Vu?"R":"C"}`;if(te.has(fe)){const xe=te.get(fe);se.area=this.potentialArea.copy(xe,{x:se.obj.x-this.o.nodeR1,y:se.obj.y-this.o.nodeR1});return}const me=se.obj instanceof Vu?uU(se.obj,this.potentialArea,this.o.nodeR1):hM(se.obj,this.potentialArea,this.o.nodeR1);se.area=me,te.set(fe,me)};this.members.forEach(re),this.nonMembers.forEach(re),this.members.forEach(ae),this.nonMembers.forEach(se=>{this.activeRegion.intersects(se.obj)?ae(se):se.area=null}),this.edges.forEach(se=>{se.area||(se.area=fM(se.obj,this.potentialArea,this.o.edgeR1))}),this.virtualEdges.forEach(se=>{se.area||(se.area=fM(se.obj,this.potentialArea,this.o.edgeR1))})}drawMembers(a){for(const y of this.members)y.obj.draw(a)}drawNonMembers(a){for(const y of this.nonMembers)y.obj.draw(a)}drawEdges(a){for(const y of this.edges)y.obj.draw(a)}drawPotentialArea(a,y=!0){this.potentialArea.draw(a,y)}compute(){if(this.members.length===0)return new Dg([]);this.dirty.size>0&&this.update();const{o:a,potentialArea:y}=this,x=this.members.map(re=>re.area),b=this.virtualEdges.concat(this.edges).map(re=>re.area),z=this.nonMembers.filter(re=>re.area!=null).map(re=>re.area),te=this.members.map(re=>re.obj);return CU(y,x,b,z,re=>re.containsElements(te),a)}}function CU(E,a,y,x,b,z={}){const te=Object.assign({},Ty,z);let re=te.threshold,ae=te.memberInfluenceFactor,se=te.edgeInfluenceFactor,fe=te.nonMemberInfluenceFactor;const me=(te.nodeR0-te.nodeR1)*(te.nodeR0-te.nodeR1),xe=(te.edgeR0-te.edgeR1)*(te.edgeR0-te.edgeR1);for(let Te=0;Te<te.maxMarchingIterations;Te++){if(E.clear(),ae!==0){const We=ae/me;for(const je of a)E.incArea(je,We)}if(se!==0){const We=se/xe;for(const je of y)E.incArea(je,We)}if(fe!==0){const We=fe/me;for(const je of x)E.incArea(je,We)}const ke=bU(E,re);if(ke&&b(ke))return ke;if(re*=.95,Te<=te.maxMarchingIterations*.5)ae*=1.2,se*=1.2;else if(fe!==0&&x.length>0)fe*=.8;else break}return new Dg([])}function PU(E,a){if(E.length===0)return new Vu(0,0,0,0);const y=Vu.from(E[0]);for(const x of E)y.add(x);for(const x of a)y.add(lM(x));return y}function Bq(E,a=[],y=[],x={}){if(E.length===0)return new Dg([]);const b=new Px(x);return b.pushMember(...E),b.pushNonMember(...a),b.pushEdge(...y),b.compute()}var wU=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b<x.length;b++)a.indexOf(x[b])<0&&Object.prototype.propertyIsEnumerable.call(E,x[b])&&(y[x[b]]=E[x[b]]);return y};class By extends Ou{constructor(a,y){super(a,nc({},By.defaultOptions,y)),this.members=new Map,this.avoidMembers=new Map,this.bubbleSetOptions={},this.drawBubbleSets=()=>{const{style:x,bubbleSetOptions:b}=this.parseOptions();Vl(this.bubbleSetOptions,b)||this.init(),this.bubbleSetOptions=Object.assign({},b);const z=Object.assign(Object.assign({},x),{d:this.getPath()});this.shape?this.shape.update(z):(this.shape=new Ev({style:z}),this.context.canvas.appendChild(this.shape))},this.updateBubbleSetsPath=x=>{if(!this.shape)return;const b=_r(x.data);[...this.options.members,...this.options.avoidMembers].includes(b)&&this.shape.update(Object.assign(Object.assign({},this.parseOptions().style),{d:this.getPath(b)}))},this.getPath=x=>{const{graph:b}=this.context,z=this.options.members,te=[...this.members.keys()],re=this.options.avoidMembers,ae=[...this.avoidMembers.keys()];if(!x&&Vl(z,te)&&Vl(re,ae))return this.path;const{enter:se=[],exit:fe=[]}=ch(te,z,je=>je),{enter:me=[],exit:xe=[]}=ch(ae,re,je=>je);x&&(fe.push(x),se.push(x));const Te=(je,Ke,Qe)=>{je.forEach(Je=>{const rt=Qe?this.members:this.avoidMembers,ot=Qe?"pushMember":"pushNonMember",ut=Qe?"removeMember":"removeNonMember";if(Ke){let ft;b.getElementType(Je)==="edge"?([ft]=DU(b,Je),this.bubbleSets.pushEdge(ft)):([ft]=MU(b,Je),this.bubbleSets[ot](ft)),rt.set(Je,ft)}else{const ft=rt.get(Je);ft&&(b.getElementType(Je)==="edge"?this.bubbleSets.removeEdge(ft):this.bubbleSets[ut](ft),rt.delete(Je))}})};Te(fe,!1,!0),Te(se,!0,!0),Te(xe,!1,!1),Te(me,!0,!1);const We=this.bubbleSets.compute().sample(8).simplify(0).bSplines().simplify(0);return this.path=ow(We.points.map(Iu)),this.path},this.bindEvents(),this.bubbleSets=new Px(this.options)}bindEvents(){this.context.graph.on(ci.AFTER_RENDER,this.drawBubbleSets),this.context.graph.on(ci.AFTER_ELEMENT_UPDATE,this.updateBubbleSetsPath)}init(){this.bubbleSets=new Px(this.options),this.members=new Map,this.avoidMembers=new Map}parseOptions(){const a=this.options,{type:y,key:x,members:b,avoidMembers:z}=a,te=wU(a,["type","key","members","avoidMembers"]),re=Object.keys(te).reduce((ae,se)=>(se in Ty?ae.bubbleSetOptions[se]=te[se]:ae.style[se]=te[se],ae),{style:{},bubbleSetOptions:{}});return Object.assign({type:y,key:x,members:b,avoidMembers:z},re)}addMember(a){const y=Array.isArray(a)?a:[a];y.some(x=>this.options.avoidMembers.includes(x))&&(this.options.avoidMembers=this.options.avoidMembers.filter(x=>!y.includes(x))),this.options.members=[...new Set([...this.options.members,...y])],this.drawBubbleSets()}removeMember(a){const y=Array.isArray(a)?a:[a];this.options.members=this.options.members.filter(x=>!y.includes(x)),this.drawBubbleSets()}updateMember(a){this.options.members=Gi(a)?a(this.options.members):a,this.drawBubbleSets()}getMember(){return this.options.members}addAvoidMember(a){const y=Array.isArray(a)?a:[a];y.some(x=>this.options.members.includes(x))&&(this.options.members=this.options.members.filter(x=>!y.includes(x))),this.options.avoidMembers=[...new Set([...this.options.avoidMembers,...y])],this.drawBubbleSets()}removeAvoidMember(a){const y=Array.isArray(a)?a:[a];this.options.avoidMembers.some(x=>y.includes(x))&&(this.options.avoidMembers=this.options.avoidMembers.filter(x=>!y.includes(x)),this.drawBubbleSets())}updateAvoidMember(a){this.options.avoidMembers=Array.isArray(a)?a:[a],this.drawBubbleSets()}getAvoidMember(){return this.options.avoidMembers}destroy(){this.context.graph.off(ci.AFTER_RENDER,this.drawBubbleSets),this.context.graph.off(ci.AFTER_ELEMENT_UPDATE,this.updateBubbleSetsPath),this.shape.destroy(),super.destroy()}}By.defaultOptions=Object.assign({members:[],avoidMembers:[],fill:"lightblue",fillOpacity:.2,stroke:"blue",strokeOpacity:.2},Ty);const MU=(E,a)=>(Array.isArray(a)?a:[a]).map(x=>{const b=E.getElementRenderBounds(x);return new Vu(b.min[0],b.min[1],of(b),sf(b))}),DU=(E,a)=>(Array.isArray(a)?a:[a]).map(x=>{const b=E.getEdgeData(x),z=E.getElementPosition(b.source),te=E.getElementPosition(b.target);return Au.from({x1:z[0],y1:z[1],x2:te[0],y2:te[1]})});class Nq extends null{constructor(a,y){super(a,y),this.setOptions=x=>{const b={cameraType:"setType",near:"setNear",far:"setFar",fov:"setFov",aspect:"setAspect",projectionMode:"setProjectionMode",distance:"setDistance",minDistance:"setMinDistance",maxDistance:"setMaxDistance",roll:"setRoll",elevation:"setElevation",azimuth:"setAzimuth"},z=(te,re)=>{switch(te){case"projectionMode":return re==="perspective"?1:0;case"cameraType":return{orbiting:0,exploring:1,tracking:2}[re];case"aspect":return typeof re=="number"?re:this.getCanvasAspect();default:return re}};Object.entries(b).forEach(([te,re])=>{const ae=x[te];if(ae!==void 0){const se=z(te,ae);this.context.canvas.getCamera()[re](se)}})},this.bindEvents()}update(a){this.setOptions(a),super.update(a)}bindEvents(){this.context.graph.once(GraphEvent.BEFORE_DRAW,()=>this.setOptions(this.options))}getCanvasAspect(){const[a,y]=this.context.viewport.getCanvasSize();return a/y}}function IU(E){return`
     <ul class="g6-contextmenu-ul">
       ${E.map(a=>`<li  class="g6-contextmenu-li" value="${a.value}">${a.name}</li>`).join("")}
@@ -269,15 +269,15 @@ YYYY`):sc(y,"MM\u6708");case"year":return sc(y,"YYYY");default:return sc(y,"YYYY
           <span class="`).concat(re.NAME_LABEL,`" title="{name}">{name}</span>
         </span>
         <span class="`).concat(re.VALUE,`" title="{value}">{value}</span>
-      </li>`)},style:pV(te)})||this,x.timestamp=-1,x.prevCustomContentKey=x.attributes.contentKey,x.initShape(),x.render(x.attributes,x),x}return Object.defineProperty(a.prototype,"HTMLTooltipElement",{get:function(){return this.element},enumerable:!1,configurable:!0}),a.prototype.getContainer=function(){return this.element},Object.defineProperty(a.prototype,"elementSize",{get:function(){var y=this.element.offsetWidth,x=this.element.offsetHeight;return{width:y,height:x}},enumerable:!1,configurable:!0}),Object.defineProperty(a.prototype,"HTMLTooltipItemsElements",{get:function(){var y=this.attributes,x=y.data,b=y.template;return x.map(function(z,te){var re=z.name,ae=re===void 0?"":re,se=z.color,fe=se===void 0?"black":se,me=z.index,xe=(0,Rt._T)(z,["name","color","index"]),Te=(0,Rt.pi)({name:ae,color:fe,index:me!=null?me:te},xe);return uS(mV(b.item,Te))})},enumerable:!1,configurable:!0}),a.prototype.render=function(y,x){this.renderHTMLTooltipElement(),this.updatePosition()},a.prototype.destroy=function(){var y;(y=this.element)===null||y===void 0||y.remove(),E.prototype.destroy.call(this)},a.prototype.show=function(y,x){var b=this;if(y!==void 0&&x!==void 0){var z=this.element.style.visibility==="hidden",te=function(){b.attributes.x=y!=null?y:b.attributes.x,b.attributes.y=x!=null?x:b.attributes.y,b.updatePosition()};z?this.closeTransition(te):te()}this.element.style.visibility="visible"},a.prototype.hide=function(y,x){y===void 0&&(y=0),x===void 0&&(x=0);var b=this.attributes.enterable;b&&this.isCursorEntered(y,x)||(this.element.style.visibility="hidden")},a.prototype.initShape=function(){var y=this.attributes.template;this.element=uS(y.container),this.id&&this.element.setAttribute("id",this.id)},a.prototype.renderCustomContent=function(){if(!(this.prevCustomContentKey!==void 0&&this.prevCustomContentKey===this.attributes.contentKey)){this.prevCustomContentKey=this.attributes.contentKey;var y=this.attributes.content;y&&(typeof y=="string"?this.element.innerHTML=y:UD(this.element,y))}},a.prototype.renderHTMLTooltipElement=function(){var y,x,b=this.attributes,z=b.template,te=b.title,re=b.enterable,ae=b.style,se=b.content,fe=cS(z.prefixCls),me=this.element;if(this.element.style.pointerEvents=re?"auto":"none",se)this.renderCustomContent();else{te?(me.innerHTML=z.title,me.getElementsByClassName(fe.TITLE)[0].innerHTML=te):(x=(y=me.getElementsByClassName(fe.TITLE))===null||y===void 0?void 0:y[0])===null||x===void 0||x.remove();var xe=this.HTMLTooltipItemsElements,Te=document.createElement("ul");Te.className=fe.LIST,UD(Te,xe);var ke=this.element.querySelector(".".concat(fe.LIST));ke?ke.replaceWith(Te):me.appendChild(Te)}eW(me,ae)},a.prototype.getRelativeOffsetFromCursor=function(y){var x=this.attributes,b=x.position,z=x.offset,te=y||b,re=te.split("-"),ae={left:[-1,0],right:[1,0],top:[0,-1],bottom:[0,1]},se=this.elementSize,fe=se.width,me=se.height,xe=[-fe/2,-me/2];return re.forEach(function(Te){var ke=(0,Rt.CR)(xe,2),We=ke[0],je=ke[1],Ke=(0,Rt.CR)(ae[Te],2),Qe=Ke[0],Je=Ke[1];xe=[We+(fe/2+z[0])*Qe,je+(me/2+z[1])*Je]}),xe},a.prototype.setOffsetPosition=function(y){var x=(0,Rt.CR)(y,2),b=x[0],z=x[1],te=this.attributes,re=te.x,ae=re===void 0?0:re,se=te.y,fe=se===void 0?0:se,me=te.container,xe=me.x,Te=me.y;this.element.style.left="".concat(+ae+xe+b,"px"),this.element.style.top="".concat(+fe+Te+z,"px")},a.prototype.updatePosition=function(){var y=this.attributes.showDelay,x=y===void 0?60:y,b=Date.now();this.timestamp>0&&b-this.timestamp<x||(this.timestamp=b,this.setOffsetPosition(this.autoPosition(this.getRelativeOffsetFromCursor())))},a.prototype.autoPosition=function(y){var x=(0,Rt.CR)(y,2),b=x[0],z=x[1],te=this.attributes,re=te.x,ae=te.y,se=te.bounding,fe=te.position;if(!se)return[b,z];var me=this.element,xe=me.offsetWidth,Te=me.offsetHeight,ke=(0,Rt.CR)([+re+b,+ae+z],2),We=ke[0],je=ke[1],Ke={left:"right",right:"left",top:"bottom",bottom:"top"},Qe=se.x,Je=se.y,rt=se.width,ot=se.height,ut={left:We<Qe,right:We+xe>Qe+rt,top:je<Je,bottom:je+Te>Je+ot},ft=[];fe.split("-").forEach(function(Dt){ut[Dt]?ft.push(Ke[Dt]):ft.push(Dt)});var lt=ft.join("-");return this.getRelativeOffsetFromCursor(lt)},a.prototype.isCursorEntered=function(y,x){if(this.element){var b=this.element.getBoundingClientRect(),z=b.x,te=b.y,re=b.width,ae=b.height;return new Hu(z,te,re,ae).isPointIn(y,x)}return!1},a.prototype.closeTransition=function(y){var x=this,b=this.element.style.transition;this.element.style.transition="none",y(),setTimeout(function(){x.element.style.transition=b},10)},a.tag="tooltip",a}(Bl),jD=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class s1 extends Ou{constructor(a,y){super(a,Object.assign({},s1.defaultOptions,y)),this.currentTarget=null,this.tooltipElement=null,this.container=null,this.isEnable=(x,b)=>{const{enable:z}=this.options;return typeof z=="function"?z(x,b):z},this.onClick=x=>{const{target:{id:b}}=x;this.currentTarget===b?this.hide(x):this.show(x)},this.onPointerMove=x=>{const{target:b}=x;!this.currentTarget||b.id===this.currentTarget||this.show(x)},this.onPointerLeave=x=>{this.hide(x)},this.onCanvasMove=x=>{this.hide(x)},this.onPointerEnter=x=>{this.show(x)},this.showById=x=>jD(this,void 0,void 0,function*(){const b={target:{id:x}};yield this.show(b)}),this.getElementData=(x,b)=>{const{model:z}=this.context;switch(b){case"node":return 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a==="node"?this.getNodeData():a==="edge"?this.getEdgeData():a==="combo"?this.getComboData():[]}getElementDataById(a){return this.getElementType(a)==="edge"?this.getEdgeDatum(a):this.getNodeLikeDatum(a)}getNodeLikeDatum(a){const y=this.model.getNode(a);return Su(y)}getNodeLikeData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Su(x);return a?a.includes(_r(b))&&y.push(b):y.push(b),y},[])}getElementDataByState(a,y){return this.getElementsDataByType(a).filter(b=>{var z;return(z=b.states)===null||z===void 0?void 0:z.includes(y)})}getElementState(a){var y;return((y=this.getElementDataById(a))===null||y===void 0?void 0:y.states)||[]}hasNode(a){return this.model.hasNode(a)&&!this.isCombo(a)}hasEdge(a){return this.model.hasEdge(a)}hasCombo(a){return this.model.hasNode(a)&&this.isCombo(a)}getRelatedEdgesData(a,y="both"){return this.model.getRelatedEdges(a,y).map(Su)}getNeighborNodesData(a){return this.model.getNeighbors(a).map(Su)}setData(a){const{nodes:y=[],edges:x=[],combos:b=[]}=a,{nodes:z,edges:te,combos:re}=this.getData(),ae=ch(z,y,me=>_r(me),I0),se=ch(te,x,me=>_r(me),I0),fe=ch(re,b,me=>_r(me),I0);this.batch(()=>{const me={nodes:ae.enter,edges:se.enter,combos:fe.enter};this.addData(me),this.computeZIndex(me,"add",!0);const xe={nodes:ae.update,edges:se.update,combos:fe.update};this.updateData(xe),this.computeZIndex(xe,"update",!0);const Te={nodes:ae.exit.map(_r),edges:se.exit.map(_r),combos:fe.exit.map(_r)};this.removeData(Te)})}addData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.addComboData(b),this.addNodeData(y),this.addEdgeData(x)}),this.computeZIndex(a,"add")}addNodeData(a=[]){a.length&&(this.model.addNodes(a.map(y=>(this.pushChange({value:y,type:gl.NodeAdded}),hS(y)))),this.updateNodeLikeHierarchy(a),this.computeZIndex({nodes:a},"add"))}addEdgeData(a=[]){a.length&&(this.model.addEdges(a.map(y=>(this.pushChange({value:y,type:gl.EdgeAdded}),hS(y)))),this.computeZIndex({edges:a},"add"))}addComboData(a=[]){if(!a.length)return;const{model:y}=this;y.hasTreeStructure(rl)||y.attachTreeStructure(rl),y.addNodes(a.map(x=>(this.comboIds.add(_r(x)),this.pushChange({value:x,type:gl.ComboAdded}),hS(x)))),this.updateNodeLikeHierarchy(a),this.computeZIndex({combos:a},"add")}addChildrenData(a,y){const x=this.getNodeLikeDatum(a),b=y.map(_r);this.addNodeData(y),this.updateNodeData([{id:a,children:[...x.children||[],...b]}]),this.addEdgeData(b.map(z=>({source:a,target:z})))}computeZIndex(a,y,x=!1){!x&&this.isBatching()||this.batch(()=>{const{nodes:b=[],edges:z=[],combos:te=[]}=a;te.forEach(re=>{var ae,se,fe;const me=_r(re);if(y==="add"&&Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re))return;const xe=this.getParentData(me,rl),Te=xe?((fe=(se=xe.style)===null||se===void 0?void 0:se.zIndex)!==null&&fe!==void 0?fe:0)+1:0;this.preventUpdateNodeLikeHierarchy(()=>{this.updateComboData([{id:me,style:{zIndex:Te}}])})}),b.forEach(re=>{var ae,se,fe;const me=_r(re);if(y==="add"&&Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re)&&!("children"in re))return;let xe=0;const Te=this.getParentData(me,rl);if(Te)xe=(((se=Te.style)===null||se===void 0?void 0:se.zIndex)||0)+1;else{const ke=this.getParentData(me,Fc);ke&&(xe=((fe=ke==null?void 0:ke.style)===null||fe===void 0?void 0:fe.zIndex)||0)}this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:me,style:{zIndex:xe}}])})}),z.forEach(re=>{var ae,se,fe,me,xe;if(Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex))return;let{id:Te,source:ke,target:We}=re;if(!Te)Te=_r(re);else{const Qe=this.getEdgeDatum(Te);ke=Qe.source,We=Qe.target}if(!ke||!We)return;const je=((fe=(se=this.getNodeLikeDatum(ke))===null||se===void 0?void 0:se.style)===null||fe===void 0?void 0:fe.zIndex)||0,Ke=((xe=(me=this.getNodeLikeDatum(We))===null||me===void 0?void 0:me.style)===null||xe===void 0?void 0:xe.zIndex)||0;this.updateEdgeData([{id:_r(re),style:{zIndex:Math.max(je,Ke)-1}}])})})}getFrontZIndex(a){var y;const x=this.getElementType(a),b=this.getElementDataById(a),z=this.getData();if(Object.assign(z,{[`${x}s`]:z[`${x}s`].filter(te=>_r(te)!==a)}),x==="combo"&&!xc(b)){const te=new Set(this.getAncestorsData(a,rl).map(_r));z.nodes=z.nodes.filter(re=>!te.has(_r(re))),z.combos=z.combos.filter(re=>!te.has(_r(re))),z.edges=z.edges.filter(({source:re,target:ae})=>!te.has(re)&&!te.has(ae))}return Math.max(((y=b.style)===null||y===void 0?void 0:y.zIndex)||0,0,...Object.values(z).flat().map(te=>{var re;return(((re=te==null?void 0:te.style)===null||re===void 0?void 0:re.zIndex)||0)+1}))}updateNodeLikeHierarchy(a){if(!this.enableUpdateNodeLikeHierarchy)return;const{model:y}=this;a.forEach(x=>{const b=_r(x),z=Ep(x);z!==void 0&&(y.hasTreeStructure(rl)||y.attachTreeStructure(rl),z===null&&this.refreshComboData(b),this.setParent(b,Ep(x),rl));const te=x.children||[];if(te.length){y.hasTreeStructure(Fc)||y.attachTreeStructure(Fc);const re=te.filter(ae=>y.hasNode(ae));re.forEach(ae=>this.setParent(ae,b,Fc)),re.length!==te.length&&this.updateNodeData([{id:b,children:re}])}})}preventUpdateNodeLikeHierarchy(a){this.enableUpdateNodeLikeHierarchy=!1,a(),this.enableUpdateNodeLikeHierarchy=!0}updateData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.updateNodeData(y),this.updateComboData(b),this.updateEdgeData(x)}),this.computeZIndex(a,"update")}updateNodeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{const x=[];a.forEach(b=>{const z=_r(b),te=Su(y.getNode(z));if(I0(te,b))return;const re=wh(te,b);this.pushChange({value:re,original:te,type:gl.NodeUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({nodes:a},"update")}refreshData(){const{nodes:a,edges:y,combos:x}=this.getData();a.forEach(b=>{this.pushChange({value:b,original:b,type:gl.NodeUpdated})}),y.forEach(b=>{this.pushChange({value:b,original:b,type:gl.EdgeUpdated})}),x.forEach(b=>{this.pushChange({value:b,original:b,type:gl.ComboUpdated})})}syncNodeLikeDatum(a){const{model:y}=this,x=_r(a);if(!y.hasNode(x))return;const b=Su(y.getNode(x)),z=wh(b,a);y.mergeNodeData(x,z)}syncEdgeDatum(a){const{model:y}=this,x=_r(a);if(!y.hasEdge(x))return;const b=Su(y.getEdge(x)),z=wh(b,a);y.mergeEdgeData(x,z)}updateEdgeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{a.forEach(x=>{const b=_r(x),z=Su(y.getEdge(b));if(I0(z,x))return;x.source&&z.source!==x.source&&y.updateEdgeSource(b,x.source),x.target&&z.target!==x.target&&y.updateEdgeTarget(b,x.target);const te=wh(z,x);this.pushChange({value:te,original:z,type:gl.EdgeUpdated}),y.mergeEdgeData(b,te)})}),this.computeZIndex({edges:a},"update")}updateComboData(a=[]){if(!a.length)return;const{model:y}=this;y.batch(()=>{const x=[];a.forEach(b=>{const z=_r(b),te=Su(y.getNode(z));if(I0(te,b))return;const re=wh(te,b);this.pushChange({value:re,original:te,type:gl.ComboUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({combos:a},"update")}setParent(a,y,x,b=!0){if(a===y)return;const z=this.getNodeLikeDatum(a),te=Ep(z);if(te!==y&&x===rl){const re={id:a,combo:y};this.isCombo(a)?this.syncNodeLikeDatum(re):this.syncNodeLikeDatum(re)}this.model.setParent(a,y,x),b&&x===rl&&WV([te,y]).forEach(re=>{re!==void 0&&this.refreshComboData(re)})}refreshComboData(a){const y=this.getComboData([a])[0],x=this.getAncestorsData(a,rl);y&&this.pushChange({value:y,original:y,type:gl.ComboUpdated}),x.forEach(b=>{this.pushChange({value:b,original:b,type:gl.ComboUpdated})})}getElementPosition(a){const y=this.getElementDataById(a);return uu(y)}translateNodeLikeBy(a,y){this.isCombo(a)?this.translateComboBy(a,y):this.translateNodeBy(a,y)}translateNodeLikeTo(a,y){this.isCombo(a)?this.translateComboTo(a,y):this.translateNodeTo(a,y)}translateNodeBy(a,y){const x=this.getElementPosition(a),b=Ho(x,[...y,0].slice(0,3));this.translateNodeTo(a,b)}translateNodeTo(a,y){const[x=0,b=0,z=0]=y;this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:a,style:{x,y:b,z}}])})}translateComboBy(a,y){const[x=0,b=0,z=0]=y;if([x,b,z].some(isNaN)||[x,b,z].every(ae=>ae===0))return;const te=this.getComboData([a])[0];if(!te)return;const re=new Set;yg(te,ae=>{const se=_r(ae);if(re.has(se))return;re.add(se);const[fe,me,xe]=uu(ae),Te=wh(ae,{style:{x:fe+x,y:me+b,z:xe+z}});this.pushChange({value:Te,original:ae,type:this.isCombo(se)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(se,Te)},ae=>this.getChildrenData(_r(ae)),"BT")}translateComboTo(a,y){var x;if(y.some(isNaN))return;const[b=0,z=0,te=0]=y,re=(x=this.getComboData([a]))===null||x===void 0?void 0:x[0];if(!re)return;const[ae,se,fe]=uu(re),me=b-ae,xe=z-se,Te=te-fe;yg(re,ke=>{const We=_r(ke),[je,Ke,Qe]=uu(ke),Je=wh(ke,{style:{x:je+me,y:Ke+xe,z:Qe+Te}});this.pushChange({value:Je,original:ke,type:this.isCombo(We)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(We,Je)},ke=>this.getChildrenData(_r(ke)),"BT")}removeData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.removeEdgeData(x),this.removeNodeData(y),this.removeComboData(b),this.latestRemovedComboIds=new Set(b)})}removeNodeData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.removeEdgeData(this.getRelatedEdgesData(y).map(_r)),this.pushChange({value:this.getNodeData([y])[0],type:gl.NodeRemoved}),this.removeNodeLikeHierarchy(y)}),this.model.removeNodes(a)})}removeEdgeData(a=[]){a.length&&(a.forEach(y=>this.pushChange({value:this.getEdgeData([y])[0],type:gl.EdgeRemoved})),this.model.removeEdges(a))}removeComboData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.pushChange({value:this.getComboData([y])[0],type:gl.ComboRemoved}),this.removeNodeLikeHierarchy(y),this.comboIds.delete(y)}),this.model.removeNodes(a)})}removeNodeLikeHierarchy(a){if(this.model.hasTreeStructure(rl)){const y=Ep(this.getNodeLikeDatum(a));this.setParent(a,void 0,rl,!1),this.model.getChildren(a,rl).forEach(x=>{const b=Su(x),z=_r(b);this.setParent(_r(b),y,rl,!1);const te=wh(b,{id:_r(b),combo:y});this.pushChange({value:te,original:b,type:this.isCombo(z)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(_r(b),te)}),fo(y)||this.refreshComboData(y)}}getElementType(a){if(this.model.hasNode(a))return this.isCombo(a)?"combo":"node";if(this.model.hasEdge(a))return"edge";throw new Error(If(`Unknown element type of id: ${a}`))}destroy(){const{model:a}=this,y=a.getAllNodes(),x=a.getAllEdges();a.removeEdges(x.map(b=>b.id)),a.removeNodes(y.map(b=>b.id)),this.context={}}}var Kv=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class HV{constructor(a){this.elementMap={},this.shapeTypeMap={},this.paletteStyle={},this.defaultStyle={},this.stateStyle={},this.visibilityCache=new WeakMap,this.context=a}init(){this.initContainer()}initContainer(){if(!this.container||this.container.destroyed){const{canvas:a}=this.context;this.container=a.appendChild(new lu({className:"elements"}))}}emit(a,y){y.silence||du(this.context.graph,a)}forEachElementData(a){pg.forEach(y=>{const x=this.context.model.getElementsDataByType(y);a(y,x)})}getElementType(a,y){var x;const{options:b,graph:z}=this.context,te=((x=b[a])===null||x===void 0?void 0:x.type)||y.type;return te?typeof te=="string"?te:te.call(z,y):a==="edge"?"line":"circle"}getTheme(a){return jP(this.context.options)[a]||{}}getThemeStyle(a){return this.getTheme(a).style||{}}getThemeStateStyle(a,y){const{state:x={}}=this.getTheme(a);return Object.assign({},...y.map(b=>x[b]||{}))}computePaletteStyle(){const{options:a}=this.context;this.paletteStyle={},this.forEachElementData((y,x)=>{var b,z;const te=Object.assign({},ew((b=this.getTheme(y))===null||b===void 0?void 0:b.palette),ew((z=a[y])===null||z===void 0?void 0:z.palette));te!=null&&te.field&&Object.assign(this.paletteStyle,I_(x,te))})}getPaletteStyle(a,y){const x=this.paletteStyle[y];return x?a==="edge"?{stroke:x}:{fill:x}:{}}computeElementDefaultStyle(a,y){var x;const{options:b}=this.context,z=((x=b[a])===null||x===void 0?void 0:x.style)||{};"transform"in z&&Array.isArray(z.transform)&&(z.transform=[...z.transform]),this.defaultStyle[_r(y.datum)]=$2(z,y)}computeElementsDefaultStyle(a){const{graph:y}=this.context;this.forEachElementData((x,b)=>{const z=b.length;for(let te=0;te<z;te++){const re=b[te];(a===void 0||a.includes(_r(re)))&&this.computeElementDefaultStyle(x,{datum:re,graph:y})}})}getDefaultStyle(a){return this.defaultStyle[a]||{}}getElementState(a){try{const{model:y}=this.context;return y.getElementState(a)}catch(y){return[]}}getElementStateStyle(a,y,x){var b,z;const{options:te}=this.context,re=((z=(b=te[a])===null||b===void 0?void 0:b.state)===null||z===void 0?void 0:z[y])||{};return $2(re,x)}computeElementStatesStyle(a,y,x){this.stateStyle[_r(x.datum)]=Object.assign({},...y.map(b=>this.getElementStateStyle(a,b,x)))}computeElementsStatesStyle(a){const{graph:y}=this.context;this.forEachElementData((x,b)=>{const z=b.length;for(let te=0;te<z;te++){const re=b[te];if(a===void 0||a.includes(_r(re))){const ae=this.getElementState(_r(re));this.computeElementStatesStyle(x,ae,{datum:re,graph:y})}}})}getStateStyle(a){return this.stateStyle[a]||{}}computeStyle(a,y){a&&["translate","zIndex"].includes(a)||(this.computePaletteStyle(),this.computeElementsDefaultStyle(y),this.computeElementsStatesStyle(y))}getElement(a){return this.elementMap[a]}getNodes(){return this.context.model.getNodeData().map(({id:a})=>this.elementMap[a])}getEdges(){return this.context.model.getEdgeData().map(a=>this.elementMap[_r(a)])}getCombos(){return this.context.model.getComboData().map(({id:a})=>this.elementMap[a])}getElementComputedStyle(a,y){const x=_r(y),b=this.getThemeStyle(a),z=this.getPaletteStyle(a,x),te=y.style||{},re=this.getDefaultStyle(x),ae=this.getThemeStateStyle(a,this.getElementState(x)),se=this.getStateStyle(x),fe=Object.assign({},b,z,te,re,ae,se);if(a==="combo"){const me=this.context.model.getChildrenData(x),Te=!!fe.collapsed?[]:me.map(_r).filter(ke=>this.getElement(ke));Object.assign(fe,{childrenNode:Te,childrenData:me})}return fe}getDrawData(a){this.init();const y=this.computeChangesAndDrawData(a);if(!y)return null;const{type:x="draw",stage:b=x}=a;return this.markDestroyElement(y.drawData),this.computeStyle(b),{type:x,stage:b,data:y}}draw(a={animation:!0}){const y=this.getDrawData(a);if(!y)return;const{data:{drawData:{add:x,update:b,remove:z}}}=y;return this.destroyElements(z,a),this.createElements(x,a),this.updateElements(b,a),this.setAnimationTask(a,y)}preLayoutDraw(){return Kv(this,arguments,void 0,function*(a={animation:!0}){var y,x;const b=this.getDrawData(a);if(!b)return;const{data:{drawData:z}}=b;yield(x=(y=this.context.layout)===null||y===void 0?void 0:y.preLayout)===null||x===void 0?void 0:x.call(y,z);const{add:te,update:re,remove:ae}=z;return this.destroyElements(ae,a),this.createElements(te,a),this.updateElements(re,a),this.setAnimationTask(a,b)})}setAnimationTask(a,y){const{animation:x,silence:b}=a,{data:{dataChanges:z,drawData:te},stage:re,type:ae}=y;return this.context.animation.animate(x,b?{}:{before:()=>this.emit(new nu(ci.BEFORE_DRAW,{dataChanges:z,animation:x,stage:re,render:ae==="render"}),a),beforeAnimate:se=>this.emit(new hd(ci.BEFORE_ANIMATE,Ec.DRAW,se,te),a),afterAnimate:se=>this.emit(new hd(ci.AFTER_ANIMATE,Ec.DRAW,se,te),a),after:()=>this.emit(new nu(ci.AFTER_DRAW,{dataChanges:z,animation:x,stage:re,render:ae==="render",firstRender:this.context.graph.rendered===!1}),a)})}computeChangesAndDrawData(a){const{model:y}=this.context,x=y.getChanges(),b=wx(x);if(b.length===0)return null;const{NodeAdded:z=[],NodeUpdated:te=[],NodeRemoved:re=[],EdgeAdded:ae=[],EdgeUpdated:se=[],EdgeRemoved:fe=[],ComboAdded:me=[],ComboUpdated:xe=[],ComboRemoved:Te=[]}=ip(b,Ke=>Ke.type),ke=Ke=>new Map(Ke.map(Qe=>{const Je=Qe.value;return[_r(Je),Je]})),We={add:{nodes:ke(z),edges:ke(ae),combos:ke(me)},update:{nodes:ke(te),edges:ke(se),combos:ke(xe)},remove:{nodes:ke(re),edges:ke(fe),combos:ke(Te)}},je=this.transformData(We,a);return y.clearChanges(),{dataChanges:x,drawData:je}}transformData(a,y){const x=this.context.transform.getTransformInstance();return Object.values(x).reduce((b,z)=>z.beforeDraw(b,y),a)}createElement(a,y,x){var b;const z=_r(y);if(this.getElement(z))return;const re=this.getElementType(a,y),ae=this.getElementComputedStyle(a,y),se=Df(a,re);if(!se)return Ac.warn(`The element ${re} of ${a} is not registered.`);this.emit(new M0(ci.BEFORE_ELEMENT_CREATE,a,y),x);const fe=this.container.appendChild(new se({id:z,context:this.context,style:ae}));this.shapeTypeMap[z]=re,this.elementMap[z]=fe;const{stage:me="enter"}=x;(b=this.context.animation)===null||b===void 0||b.add({element:fe,elementType:a,stage:me,originalStyle:Object.assign({},fe.attributes),updatedStyle:ae},{after:()=>{var xe;this.emit(new M0(ci.AFTER_ELEMENT_CREATE,a,y),x),(xe=fe.onCreate)===null||xe===void 0||xe.call(fe)}})}createElements(a,y){const{nodes:x,edges:b,combos:z}=a;[["node",x],["combo",z],["edge",b]].forEach(([re,ae])=>{ae.forEach(se=>this.createElement(re,se,y))})}getUpdateStageStyle(a,y,x){const{stage:b="update"}=x;if(b==="translate")if(a==="node"||a==="combo"){const{style:{x:z=0,y:te=0,z:re=0}={}}=y;return{x:z,y:te,z:re}}else return{};return this.getElementComputedStyle(a,y)}updateElement(a,y,x){var b;const z=_r(y),{stage:te="update"}=x,re=this.getElement(z);if(!re)return()=>null;this.emit(new M0(ci.BEFORE_ELEMENT_UPDATE,a,y),x);const ae=this.getElementType(a,y),se=this.getUpdateStageStyle(a,y,x);this.shapeTypeMap[z]!==ae&&(re.destroy(),delete this.shapeTypeMap[z],delete this.elementMap[z],this.createElement(a,y,{animation:!1,silence:!0}));const fe=te!=="visibility"?te:se.visibility==="hidden"?"hide":"show";fe==="hide"&&delete se.visibility,(b=this.context.animation)===null||b===void 0||b.add({element:re,elementType:a,stage:fe,originalStyle:Object.assign({},re.attributes),updatedStyle:se},{before:()=>{const me=this.elementMap[z];te!=="collapse"&&ZA(me,se),te==="visibility"&&(FV(me,"opacity")||_V(me,"opacity"),this.visibilityCache.set(me,fe==="show"?"visible":"hidden"),fe==="show"&&vg(me,"visible"))},after:()=>{var me;const xe=this.elementMap[z];te==="collapse"&&ZA(xe,se),fe==="hide"&&vg(xe,this.visibilityCache.get(xe)),this.emit(new M0(ci.AFTER_ELEMENT_UPDATE,a,y),x),(me=xe.onUpdate)===null||me===void 0||me.call(xe)}})}updateElements(a,y){const{nodes:x,edges:b,combos:z}=a;[["node",x],["combo",z],["edge",b]].forEach(([re,ae])=>{ae.forEach(se=>this.updateElement(re,se,y))})}markDestroyElement(a){Object.values(a.remove).forEach(y=>{y.forEach(x=>{const b=_r(x),z=this.getElement(b);z&&j8(z)})})}destroyElement(a,y,x){var b;const{stage:z="exit"}=x,te=_r(y),re=this.elementMap[te];if(!re)return()=>null;this.emit(new M0(ci.BEFORE_ELEMENT_DESTROY,a,y),x),(b=this.context.animation)===null||b===void 0||b.add({element:re,elementType:a,stage:z,originalStyle:Object.assign({},re.attributes),updatedStyle:{}},{after:()=>{var ae;this.clearElement(te),re.destroy(),(ae=re.onDestroy)===null||ae===void 0||ae.call(re),this.emit(new M0(ci.AFTER_ELEMENT_DESTROY,a,y),x)}})}destroyElements(a,y){const{nodes:x,edges:b,combos:z}=a;[["combo",z],["edge",b],["node",x]].forEach(([re,ae])=>{ae.forEach(se=>this.destroyElement(re,se,y))})}clearElement(a){delete this.paletteStyle[a],delete this.defaultStyle[a],delete this.stateStyle[a],delete this.elementMap[a],delete this.shapeTypeMap[a]}alignLayoutResultToElement(a,y){var x,b;const z=(x=a.nodes)===null||x===void 0?void 0:x.find(te=>_r(te)===y);if(z){const te=uu(this.context.model.getNodeLikeDatum(y)),re=uu(z),ae=qs(te,re);(b=a.nodes)===null||b===void 0||b.forEach(se=>{var fe,me,xe;!((fe=se.style)===null||fe===void 0)&&fe.x&&(se.style.x+=ae[0]),!((me=se.style)===null||me===void 0)&&me.y&&(se.style.y+=ae[1]),!((xe=se.style)===null||xe===void 0)&&xe.z&&(se.style.z+=ae[2]||0)})}}collapseNode(a,y){return Kv(this,void 0,void 0,function*(){var x;const{animation:b,align:z}=y,{model:te,layout:re}=this.context,ae=this.computeChangesAndDrawData({stage:"collapse",animation:b});if(!ae)return;this.markDestroyElement(ae.drawData);const se=yield re.simulate();z&&this.alignLayoutResultToElement(se,a),te.updateData(se);const 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E.layout||["antv-dagre","combo-combined","compact-box","circular","concentric","dagre","fishbone","grid","indented","mds","radial","random","snake","dendrogram","mindmap"].includes(E.layout.type)&&(E.layout.preLayout=!0),E}class lH extends yA{constructor(a){super(a),this.category="plugin",this.setPlugins(this.context.options.plugins||[])}setPlugins(a){this.setExtensions(a)}getPluginInstance(a){const y=this.extensionMap[a];if(y)return y;Ac.warn(`Cannot find the plugin ${a}, will try to find it by type.`);const x=this.extensions.find(b=>b.type===a);if(x)return this.extensionMap[x.key]}}const y1=["update-related-edges","collapse-expand-node","collapse-expand-combo","get-edge-actual-ends","arrange-draw-order"];class uH extends yA{constructor(a){super(a),this.category="transform",this.setTransforms(this.context.options.transforms||[])}getTransforms(){}setTransforms(a){this.setExtensions([...y1.slice(0,y1.length-1),...a,y1[y1.length-1]])}getTransformInstance(a){return a?this.extensionMap[a]:this.extensionMap}}var Zv=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class cH{get padding(){return Ld(this.context.options.padding)}get paddingOffset(){const[a,y,x,b]=this.padding,[z,te,re]=[(b-y)/2,(a-x)/2,0];return[z,te,re]}constructor(a){this.landmarkCounter=0,this.context=a;const[y,x]=this.paddingOffset,{zoom:b,rotation:z,x:te=y,y:re=x}=a.options;this.transform({mode:"absolute",scale:b,translate:[te,re],rotate:z},!1)}get camera(){const{canvas:a}=this.context;return new Proxy(a.getCamera(),{get:(y,x)=>{const z=Object.entries(a.getLayers()).filter(([re])=>!["main"].includes(re)).map(([,re])=>re.getCamera()),te=y[x];if(typeof te=="function")return(...re)=>{const ae=te.apply(y,re);return z.forEach(se=>{se[x].apply(se,re)}),ae}}})}createLandmark(a){return this.camera.createLandmark(`landmark-${this.landmarkCounter++}`,a)}getAnimation(a){const y=GP(this.context.options,a);return y?xg(Object.assign({},y),["easing","duration"]):!1}getCanvasSize(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y,x]}getCanvasCenter(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y/2,x/2,0]}getViewportCenter(){const[a,y]=this.camera.getPosition();return[a,y,0]}getGraphCenter(){return this.context.graph.getViewportByCanvas(this.getCanvasCenter())}getZoom(){return this.camera.getZoom()}getRotation(){return this.camera.getRoll()}getTranslateOptions(a){const{camera:y}=this,{mode:x,translate:b=[]}=a,z=this.getZoom(),te=y.getPosition(),re=y.getFocalPoint(),[ae,se]=this.getCanvasCenter(),[fe=0,me=0,xe=0]=b,Te=Bd([-fe,-me,-xe],z);return x==="relative"?{position:Ho(te,Te),focalPoint:Ho(re,Te)}:{position:Ho([ae,se,te[2]],Te),focalPoint:Ho([ae,se,re[2]],Te)}}getRotateOptions(a){const{mode:y,rotate:x=0}=a;return{roll:y==="relative"?this.camera.getRoll()+x:x}}getZoomOptions(a){const{zoomRange:y}=this.context.options,x=this.camera.getZoom(),{mode:b,scale:z=1}=a;return bl(b==="relative"?x*z:z,...y)}transform(a,y){return Zv(this,void 0,void 0,function*(){const{graph:x}=this.context,{translate:b,rotate:z,scale:te,origin:re}=a;this.cancelAnimation();const ae=this.getAnimation(y);if(du(x,new d1(ci.BEFORE_TRANSFORM,a)),!z&&te&&!b&&re&&!ae){this.camera.setZoomByViewportPoint(this.getZoomOptions(a),re),du(x,new d1(ci.AFTER_TRANSFORM,a));return}const se={};if(b&&Object.assign(se,this.getTranslateOptions(a)),Oi(z)&&Object.assign(se,this.getRotateOptions(a)),Oi(te)&&Object.assign(se,{zoom:this.getZoomOptions(a)}),ae)return du(x,new hd(ci.BEFORE_ANIMATE,Ec.TRANSFORM,null,a)),new Promise(fe=>{this.transformResolver=fe,this.camera.gotoLandmark(this.createLandmark(se),Object.assign(Object.assign({},ae),{onfinish:()=>{du(x,new hd(ci.AFTER_ANIMATE,Ec.TRANSFORM,null,a)),du(x,new d1(ci.AFTER_TRANSFORM,a)),this.transformResolver=void 0,fe()}}))});this.camera.gotoLandmark(this.createLandmark(se),{duration:0}),du(x,new d1(ci.AFTER_TRANSFORM,a))})}fitView(a,y){return Zv(this,void 0,void 0,function*(){const[x,b,z,te]=this.padding,{when:re="always",direction:ae="both"}=a||{},[se,fe]=this.context.canvas.getSize(),me=se-te-b,xe=fe-x-z,Te=this.context.canvas.getBounds(),ke=this.getBBoxInViewport(Te),[We,je]=sh(ke),Ke=ae==="x"&&We>=me||ae==="y"&&je>=xe||ae==="both"&&We>=me&&je>=xe;if(re==="overflow"&&!Ke)return yield this.fitCenter({animation:y});const Qe=me/We,Je=xe/je,rt=ae==="x"?Qe:ae==="y"?Je:Math.min(Qe,Je),ot=this.getAnimation(y);yield this.transform({mode:"relative",scale:rt,translate:Ho(qs(this.getCanvasCenter(),this.getBBoxInViewport(Te).center),Bd(this.paddingOffset,rt))},ot)})}fitCenter(a){return Zv(this,void 0,void 0,function*(){const y=this.context.canvas.getBounds();yield this.focus(y,a)})}focusElements(a){return Zv(this,arguments,void 0,function*(y,x={}){const{element:b}=this.context;if(!b)return;const z=re=>x.shapes?re.getShape(x.shapes).getRenderBounds():re.getRenderBounds(),te=uv(y.map(re=>z(b.getElement(re))));yield this.focus(te,x)})}focus(a,y){return Zv(this,void 0,void 0,function*(){const x=this.context.graph.getViewportByCanvas(a.center),b=y.position||this.getCanvasCenter(),z=qs(b,x);yield this.transform({mode:"relative",translate:Ho(z,this.paddingOffset)},y.animation)})}getBBoxInViewport(a){const{min:y,max:x}=a,{graph:b}=this.context,[z,te]=b.getViewportByCanvas(y),[re,ae]=b.getViewportByCanvas(x),se=new il;return se.setMinMax([z,te,0],[re,ae,0]),se}isInViewport(a,y=!1,x=0){const{graph:b}=this.context,z=this.getCanvasSize(),[te,re]=b.getCanvasByViewport([0,0]),[ae,se]=b.getCanvasByViewport(z);let fe=new il;return fe.setMinMax([te,re,0],[ae,se,0]),x&&(fe=uh(fe,x)),u0(a)?Od(a,fe):y?ER(a,fe):fe.intersects(a)}cancelAnimation(){var a,y;!((a=this.camera.landmarks)===null||a===void 0)&&a.length&&this.camera.cancelLandmarkAnimation(),(y=this.transformResolver)===null||y===void 0||y.call(this)}}var sl=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class T0 extends ry{constructor(a){var y;super(),this.options={},this.rendered=!1,this.destroyed=!1,this.context={model:new VV},this.isCollapsingExpanding=!1,this.onResize=Cv(()=>{this.resize()},300),this._setOptions(Object.assign({},T0.defaultOptions,a),!0),this.context.graph=this,this.options.autoResize&&((y=globalThis.addEventListener)===null||y===void 0||y.call(globalThis,"resize",this.onResize))}getOptions(){return this.options}setOptions(a){this._setOptions(a,!1)}_setOptions(a,y){if(this.updateCanvas(a),Object.assign(this.options,oH(a)),y){const{data:xe}=a;xe&&this.addData(xe);return}const{behaviors:x,combo:b,data:z,edge:te,layout:re,node:ae,plugins:se,theme:fe,transforms:me}=a;x&&this.setBehaviors(x),z&&this.setData(z),ae&&this.setNode(ae),te&&this.setEdge(te),b&&this.setCombo(b),re&&this.setLayout(re),fe&&this.setTheme(fe),se&&this.setPlugins(se),me&&this.setTransforms(me)}getSize(){return this.context.canvas?this.context.canvas.getSize():[this.options.width||0,this.options.height||0]}setSize(a,y){a&&(this.options.width=a),y&&(this.options.height=y),this.resize(a,y)}setZoomRange(a){this.options.zoomRange=a}getZoomRange(){return this.options.zoomRange}setNode(a){this.options.node=a,this.context.model.refreshData()}setEdge(a){this.options.edge=a,this.context.model.refreshData()}setCombo(a){this.options.combo=a,this.context.model.refreshData()}getTheme(){return this.options.theme}setTheme(a){this.options.theme=Gi(a)?a(this.getTheme()):a}setLayout(a){this.options.layout=Gi(a)?a(this.getLayout()):a}getLayout(){return this.options.layout}setBehaviors(a){var y;this.options.behaviors=Gi(a)?a(this.getBehaviors()):a,(y=this.context.behavior)===null||y===void 0||y.setBehaviors(this.options.behaviors)}updateBehavior(a){this.setBehaviors(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getBehaviors(){return this.options.behaviors||[]}setPlugins(a){var y;this.options.plugins=Gi(a)?a(this.getPlugins()):a,(y=this.context.plugin)===null||y===void 0||y.setPlugins(this.options.plugins)}updatePlugin(a){this.setPlugins(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getPlugins(){return this.options.plugins||[]}getPluginInstance(a){return this.context.plugin.getPluginInstance(a)}setTransforms(a){var y;this.options.transforms=Gi(a)?a(this.getTransforms()):a,(y=this.context.transform)===null||y===void 0||y.setTransforms(this.options.transforms)}updateTransform(a){this.setTransforms(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x)),this.context.model.refreshData()}getTransforms(){return this.options.transforms||[]}getData(){return this.context.model.getData()}getElementData(a){return Array.isArray(a)?a.map(y=>this.context.model.getElementDataById(y)):this.context.model.getElementDataById(a)}getNodeData(a){return a===void 0?this.context.model.getNodeData():Array.isArray(a)?this.context.model.getNodeData(a):this.context.model.getNodeLikeDatum(a)}getEdgeData(a){return a===void 0?this.context.model.getEdgeData():Array.isArray(a)?this.context.model.getEdgeData(a):this.context.model.getEdgeDatum(a)}getComboData(a){return a===void 0?this.context.model.getComboData():Array.isArray(a)?this.context.model.getComboData(a):this.context.model.getNodeLikeDatum(a)}setData(a){this.context.model.setData(Gi(a)?a(this.getData()):a)}addData(a){this.context.model.addData(Gi(a)?a(this.getData()):a)}addNodeData(a){this.context.model.addNodeData(Gi(a)?a(this.getNodeData()):a)}addEdgeData(a){this.context.model.addEdgeData(Gi(a)?a(this.getEdgeData()):a)}addComboData(a){this.context.model.addComboData(Gi(a)?a(this.getComboData()):a)}addChildrenData(a,y){this.context.model.addChildrenData(a,y)}updateData(a){this.context.model.updateData(Gi(a)?a(this.getData()):a)}updateNodeData(a){this.context.model.updateNodeData(Gi(a)?a(this.getNodeData()):a)}updateEdgeData(a){this.context.model.updateEdgeData(Gi(a)?a(this.getEdgeData()):a)}updateComboData(a){this.context.model.updateComboData(Gi(a)?a(this.getComboData()):a)}removeData(a){this.context.model.removeData(Gi(a)?a(this.getData()):a)}removeNodeData(a){this.context.model.removeNodeData(Gi(a)?a(this.getNodeData()):a)}removeEdgeData(a){this.context.model.removeEdgeData(Gi(a)?a(this.getEdgeData()):a)}removeComboData(a){this.context.model.removeComboData(Gi(a)?a(this.getComboData()):a)}getElementType(a){return this.context.model.getElementType(a)}getRelatedEdgesData(a,y="both"){return this.context.model.getRelatedEdgesData(a,y)}getNeighborNodesData(a){return this.context.model.getNeighborNodesData(a)}getAncestorsData(a,y){return this.context.model.getAncestorsData(a,y)}getParentData(a,y){return this.context.model.getParentData(a,y)}getChildrenData(a){return this.context.model.getChildrenData(a)}getDescendantsData(a){return this.context.model.getDescendantsData(a)}getElementDataByState(a,y){return this.context.model.getElementDataByState(a,y)}initCanvas(){return sl(this,void 0,void 0,function*(){var a;if(this.context.canvas)return yield this.context.canvas.ready;const{container:y="container",width:x,height:b,renderer:z,cursor:te,background:re,canvas:ae,devicePixelRatio:se=(a=globalThis.devicePixelRatio)!==null&&a!==void 0?a:1}=this.options;if(y instanceof $D)this.context.canvas=y,te&&y.setCursor(te),z&&y.setRenderer(z),yield y.ready;else{const fe=Ls(y)?document.getElementById(y):y,me=n3(fe);this.emit(ci.BEFORE_CANVAS_INIT,{container:fe,width:x,height:b});const xe=Object.assign(Object.assign({},ae),{container:fe,width:x||me[0],height:b||me[1],background:re,renderer:z,cursor:te,devicePixelRatio:se}),Te=new $D(xe);this.context.canvas=Te,yield Te.ready,this.emit(ci.AFTER_CANVAS_INIT,{canvas:Te})}})}updateCanvas(a){var y,x;const{renderer:b,cursor:z,height:te,width:re}=a,ae=this.context.canvas;ae&&(b&&(this.emit(ci.BEFORE_RENDERER_CHANGE,{renderer:this.options.renderer}),ae.setRenderer(b),this.emit(ci.AFTER_RENDERER_CHANGE,{renderer:b})),z&&ae.setCursor(z),(Oi(re)||Oi(te))&&this.setSize((y=re!=null?re:this.options.width)!==null&&y!==void 0?y:0,(x=te!=null?te:this.options.height)!==null&&x!==void 0?x:0))}initRuntime(){this.context.options=this.options,this.context.batch||(this.context.batch=new zV(this.context)),this.context.plugin||(this.context.plugin=new lH(this.context)),this.context.viewport||(this.context.viewport=new cH(this.context)),this.context.transform||(this.context.transform=new uH(this.context)),this.context.element||(this.context.element=new HV(this.context)),this.context.animation||(this.context.animation=new kV(this.context)),this.context.layout||(this.context.layout=new iH(this.context)),this.context.behavior||(this.context.behavior=new UV(this.context))}prepare(){return sl(this,void 0,void 0,function*(){if(yield Promise.resolve(),this.destroyed)throw new Error(If("The graph instance has been destroyed"));yield this.initCanvas(),this.initRuntime()})}render(){return sl(this,void 0,void 0,function*(){if(yield this.prepare(),du(this,new nu(ci.BEFORE_RENDER)),this.options.layout)if(!this.rendered&&$8(this.options.layout)){const a=yield this.context.element.preLayoutDraw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.context.layout.postLayout()]),yield this.autoFit()}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}this.rendered=!0,du(this,new nu(ci.AFTER_RENDER))})}draw(){return sl(this,void 0,void 0,function*(){var a;yield this.prepare(),yield(a=this.context.element.draw())===null||a===void 0?void 0:a.finished})}layout(a){return sl(this,void 0,void 0,function*(){yield this.context.layout.postLayout(a)})}stopLayout(){this.context.layout.stopLayout()}clear(){return sl(this,void 0,void 0,function*(){const{model:a,element:y}=this.context;a.setData({}),a.clearChanges(),y==null||y.clear()})}destroy(){var a;du(this,new nu(ci.BEFORE_DESTROY));const{layout:y,animation:x,element:b,model:z,canvas:te,behavior:re,plugin:ae}=this.context;ae==null||ae.destroy(),re==null||re.destroy(),y==null||y.destroy(),x==null||x.destroy(),b==null||b.destroy(),z.destroy(),te==null||te.destroy(),this.options={},this.context={},this.off(),(a=globalThis.removeEventListener)===null||a===void 0||a.call(globalThis,"resize",this.onResize),this.destroyed=!0,du(this,new nu(ci.AFTER_DESTROY))}getCanvas(){return this.context.canvas}resize(a,y){var x;const b=n3((x=this.context.canvas)===null||x===void 0?void 0:x.getContainer()),z=[a||b[0],y||b[1]];if(!this.context.canvas)return;const te=this.context.canvas.getSize();Vl(z,te)||(du(this,new nu(ci.BEFORE_SIZE_CHANGE,{size:z})),this.context.canvas.resize(...z),du(this,new nu(ci.AFTER_SIZE_CHANGE,{size:z})))}fitView(a,y){return sl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.fitView(a,y)})}fitCenter(a){return sl(this,void 0,void 0,function*(){var y;yield(y=this.context.viewport)===null||y===void 0?void 0:y.fitCenter({animation:a})})}autoFit(){return sl(this,void 0,void 0,function*(){const{autoFit:a}=this.context.options;if(a)if(Ls(a))a==="view"?yield this.fitView():a==="center"&&(yield this.fitCenter());else{const{type:y,animation:x}=a;y==="view"?yield this.fitView(a.options,x):y==="center"&&(yield this.fitCenter(x))}})}focusElement(a,y){return sl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.focusElements(Array.isArray(a)?a:[a],{animation:y})})}zoomBy(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",scale:a,origin:x},y)})}zoomTo(a,y,x){return sl(this,void 0,void 0,function*(){this.context.viewport.transform({mode:"absolute",scale:a,origin:x},y)})}getZoom(){return this.context.viewport.getZoom()}rotateBy(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",rotate:a,origin:x},y)})}rotateTo(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",rotate:a,origin:x},y)})}getRotation(){return this.context.viewport.getRotation()}translateBy(a,y){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",translate:a},y)})}translateTo(a,y){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",translate:a},y)})}getPosition(){return qs([0,0],this.getCanvasByViewport([0,0]))}translateElementBy(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var te,re;const[ae,se]=jl(x)?[x,(te=b)!==null&&te!==void 0?te:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeBy(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}translateElementTo(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var te,re;const[ae,se]=jl(x)?[x,(te=b)!==null&&te!==void 0?te:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeTo(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}getElementPosition(a){return this.context.model.getElementPosition(a)}getElementRenderStyle(a){return Ax(this.context.element.getElement(a).attributes,["context"])}setElementVisibility(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var te,re;const[ae,se]=jl(x)?[x,(te=b)!==null&&te!==void 0?te:!0]:[{[x]:b},z],fe={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([Te,ke])=>{const We=this.getElementType(Te);fe[`${We}s`].push({id:Te,style:{visibility:ke}})});const{model:me,element:xe}=this.context;me.preventUpdateNodeLikeHierarchy(()=>{me.updateData(fe)}),yield(re=xe.draw({animation:se,stage:"visibility"}))===null||re===void 0?void 0:re.finished})}showElement(a,y){return sl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"visible"])),y)})}hideElement(a,y){return sl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"hidden"])),y)})}getElementVisibility(a){var y,x;const b=this.context.element.getElement(a);return(x=(y=b==null?void 0:b.style)===null||y===void 0?void 0:y.visibility)!==null&&x!==void 0?x:"visible"}setElementZIndex(a,y){return sl(this,void 0,void 0,function*(){var x;const b={nodes:[],edges:[],combos:[]},z=jl(a)?a:{[a]:y};Object.entries(z).forEach(([ae,se])=>{const fe=this.getElementType(ae);b[`${fe}s`].push({id:ae,style:{zIndex:se}})});const{model:te,element:re}=this.context;te.preventUpdateNodeLikeHierarchy(()=>te.updateData(b)),yield(x=re.draw({animation:!1,stage:"zIndex"}))===null||x===void 0?void 0:x.finished})}frontElement(a){return sl(this,void 0,void 0,function*(){const y=Array.isArray(a)?a:[a],{model:x}=this.context,b={};y.map(z=>{const te=x.getFrontZIndex(z);if(x.getElementType(z)==="combo"){const 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this.context.element.getElement(a).getRenderBounds()}collapseElement(a){return sl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const te=b.getElementType(y);yield this.frontElement(y),this.isCollapsingExpanding=!0,this.setElementCollapsibility(y,!0),te==="node"?yield z.collapseNode(y,x):te==="combo"&&(yield z.collapseCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}expandElement(a){return sl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(!xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const te=b.getElementType(y);this.isCollapsingExpanding=!0,this.setElementCollapsibility(y,!1),te==="node"?yield z.expandNode(y,x):te==="combo"&&(yield z.expandCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}setElementCollapsibility(a,y){const 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",XH="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAUcAAAGCCAYAAABzbAFsAAAAAXNSR0IArs4c6QAAIABJREFUeF7svWtvG1ma5/k/ESduvJO6WbYyy5nlzulxbu9i14MCFthB+UVjgf0A7o9QX8Ppj7H1Edpv9vW8cgGNWWAWxgA9W+7pLHWWMq20LJEixWvcIyafuFDBIEMkJVJKSkGUK8WIE+c5fCLOL57LuTDkn1wDuQZyDeQamNIA21Sd+L4/0XbGmL+pvyVvd66B+6SB+9I3Nw6OacWnH6ockvepm+W/ZZM0cN/65kbBcZ7y4wcpB+Qmdam8rfdBA/exb24yHNNtH7vVORzvQ3fLf8MmaSAFx3vRN+8THOlZCgCZw3GTulXe1vuggTlw3Mi+ualwzGp3Dsf70NPy37BxGkjA8d70zU2HY9z+ZKY6TGPn2euN62B5gzdXAzPguPF9cxPhGLc5K66RW4+b28fylm+oBiI43qu+uTFwTL2ZMk33N78EHl8Dfh533NBeljd74zRwX/vmpsFx6s30DmAvo0TMWwCvwr9zOG5cF8sbvKkayLIaN71vbjIcr3Krczhuak/L271xGpgBx3vRNzcOjm8B9ip8fIK2vwfYC8B/ByCyIAPLMR/Ss3F9LG/whmoghuN965sbB0eCYmSuJwEJAmQERT+PO25oL8ubvZEaSFiO96pvbiQcCZCRxZh8mMZwjA7mrvVGdrW80ZumgSQc71Pf3Fg4xm71B4A9v7Qa8Rbw86TMpnWvvL2brIE0HO9L39wkOArRA0RtTv7DBwA64Cdd6zxjvcndLW/7JmnA9/172Tc3Co5xwPc9IGihxZjlVufDeTapd+Vt3WgNEBzvY9/cRDiOrcbDKGP9LJGMiZMyueW40f0tb/wGaSABx3vVNzcKjil3mhEcn4UPkZ9wrb0YkPksmQ3qYXlTN1YDkVs9Ee66D31zM+Do+7QHQjrWGH/HIQAL8KO4Yw7Hje1mecM3TgP3uG9uBBzT2bAPgCADjB+B4Snof8lhPDkcN66H5Q3eVA3c5765cXBMJGPYEcCeAjgC4AD+M4DAmMNxU3ta3u6N00ASjvetb24kHF8A7OgIwlMiYwKO1gf4z5/DzWOOG9fH8gZvqAbScLxPfXPj4AhAODyEwJ+B8ShbTVYjudYfAP85cjhuaD/Lm72BGki51feqb24mHAGBwBjDEcfAwQG8HI4b2LvyJm+0BqbgeI/65sbB8QMgUjLmWZS9PjkBc/fhR9aj9+4dvJcvw7hjPpRno/td3vgN0EASjvetb24kHJ8D7BgQxMitdhHC0TmEf/wM7ssoKZPDcQN6V97EjdZAGo73qW9uJBwLRxD4U7AYjjgBzH14BMhjJOFIzx0Nkcw/uQZyDaxDA2k43qe+uXFwBCAeAYJyAgH7gHAK5u3BJ+vRALxngPv2LfxXr+AFPy7fhXAdfSKvM9dAoIFUzPFe9c2NguM7QHgJCAEcAUGI3GoPl3DsAt4PgPcKORzz/ptrYN0aiOF4H/vmxsHxABApS52E4ymABuAdAN77BBxDwzF3q9fdQfL6H64GknC8b31zI+GoRskYshz3ABAc7QiObz/Ax3O4ZDnmcHy4nTb/5bejgTQc71Pf3Cg4BgPAAZFugJRyq8m13gfcxFjHHI630z9yKQ9YA4mY473rm/cCjs0mUN+Bl8PxAffS/KffiQbmwXGT++bGwZGy1TTGMbYc2wCjTHUdl3A8A7w/Ad7rfCD4nXSYXOjD0UASjvetb24MHN8CwtfvIbx4AeEEEDuJQeANwD8B/MoR3NFTeDkcH07nzH/p3WqA4Hhf++ZmwREQXuASjrvRUJ5zACbgVQB3hByOd9tdcukPSQNjON7Dvvnrh2O40jBtuUo7nImvAEaWIwcEBrCLyK2uAZ4OuPEUwtytfkhdNP+td6KBe943NxKO/3wKruxNzq0ewzGaQpjD8U66Sy70IWlgBhzvU9/cGDjSMJ63keX4zwCnQeA0t5rGOtIwHgvwCoATrQhOC97mK/M8pI6a/9bb10AEx/vaN68NxyhLNXVDVj6f2ffZdwD7PSDsAkIh3LNa7LchCgwMlKaO4NgF3J1ofnUOx9vvK7nEB6aBX1nfXDWTNheOgDgxt7oFv70NJ4fjA+ug+c+9Ow1kwfGO+uadwzGrAek7tLI5zTNuwAjgcjRDpncBVvE7vl2ve0XAiVfmyS3Hu+szueQHooFfSd9cF5OWshwXbUT8aKwEkIkbcHAIkfaOieE4uIBQo0wM4NPc6gHgVgGXli3L4fhAOmj+M+9OA7+CvrlOJi0Ex2UbkLxbNwZk8gYAYvMYQvUA4iNA6IXDe3I43l33yCU/ZA3cYd+8DSYtAkfm+zdfTPu6kCQlvIkSMrQkUhMQnlFCBhCH3a6AapXMRF8D3B8B7/8MtrDOLceH3Gfz3347GrjDvnkrTJoLx3mEJnDRraB5zFfdkutmsWfdgAbAaW71MLIcCY6lcB1Hl+D4/j28H36AF6wGnq/neDs9JZfy4DRwV33ztph0JRyvagRB8fXsxyETktcBVdYN0AGRxjmKPTDXh69Vg6mD7v9McEyuBp7D8cF12vwH344G7qJv3iaTrgvHeRbnTEBex3qctSTSz4C0F2WrB9H0QXKrCY60+MT5U7jjrRJyON5OT8mlPDgN3EXfvAKOK2fS0nC8wmJMPxyzAbkkrNI3oHsC0dkHL3QhijQInFaboEHgHXh9B+7THTjnyOH44Hpq/oNvXQN30TdnwXFdTFoajrQtyyJ34U1GHHJZ1zp9A344Bf96D2LsVlNbCI5FwPsJcJ8ih+Mi9ycvk2vgphq4i76ZYTmuhUmZld7AfA10vjY4AvxrXMJR6IN1fPh7FbgG4NL86txyvOljn1+fa2C+BqbguOa+edtMWhiOiaz0fK1dlphyrZeNOyZvAC1Z9p+iG9AEOCVkKtE4R1p4QgacHI7L3J68bK6B62vgtvtmGo7rZtLCcJzlTr+NXOxX4XqLwedVYkgPWY/0SQ/zWca1nnUDtjrgVh1iHWDDPphWhkdwHLbgPtmGnVuO13/g8ytzDSyqgdvumzMsxyl+rZJJs+F4uRRRUk8TZakRBMX0hyCZBGR0fsKCvA4c37+HSFskvG1C2pHAlRoEuQ8BZcDtw5fLcCljrQD2//cBXrw96zKyFn0o8nK5BnINADEcb6Vv3gGTZsJxXtAzC4yJBybtTt8cjoBIWyS8AyQAnJYv0wGhDOAC8GWEcGwfwzk+CGbIBHtX53DMu3GugfVoYAzHW+ibd8Gka8FxXsZ6hvW4EjhuHUE8egpeA7jVhyiWwYQBmFaCpwKuSXAEHFp84s85HNfTI/Jacw3E7uAvc6uJBe8Bcd19cx4c18GkpeGYthrfvQPDS9D/rrIWJ+FIyl1wvCMp5e1bCF+/grAFiEeI4AiI0gACaN4gudUe3JEL12vAJjg+j+ZX55Zj3pdzDaxHA7fZN6+C47qYNBeOMzJCE9dkwTFlPU5nrZeBI23LihlwTKzKQ241zZDxkMNxPV0hrzXXwKQGAjjeUt9MwvG2mLQUHKcIPWNAeGxBrguO/9yC9OU2RDUc6yjoAzAaBF4rwUnC8ewdvD/9Cd5339EWM/kn10CugVVrIA3HdfbNLDiuk0lz4Zj05VMNmXntO4Qu9trgCEhfAqLbBzcZhFIpnCFj9OAKFTjNEzhf78M5AzzagfA7lsNx1Z0ir++6GqAYXbDT8B19Vit/Co5r7Jspt3rMnnUyaRpw0ynzazUkjtnSf2eNd1w0FjjrBnzVBXeq4SBwfRiuysNKcATAaQKOeAj3YxfeyQu437Grl1K7o6f0VyD2Ljvpr+DnX6sJWXAJEhPRJ6nXRY4nGkLYnAg3peX9uuRfp29+jWsYLnfEpCk4zhloGZR/B7CXVz9cwdvx7Vvg1Sv4K4cjwJ1ohkwMR+7DFR04qMM+Wx0c0/q57bf+LcnPQTnncV5o7u5c3gbwS5T67pdv3814eafLza14wQIrlv8dtf/3EJ7vQjioQPyhAOlrDq5WIFrDcJV+Mlwo5KV34FLf1K4Bx7ti0pVwnLHaRVx+fN376Ha/SGSrM1xr0tUYLtexHK1j8IsCpIMGRIJjcAOKwGAIiD240OA0P8E5/jPcXjSc5+2HX2R+t+DDExeLy6evy6pnXrnNkO/frcu35D26leJJy+8XgdMwo34w/cJMl8uCYPo3ULnLZ3B+vWHfm19uTfKTcNR0cPEr8BoH9wXwYMWsYhjy4n24YhnO+Skctw9HewZ3mZBXOt6YWkd2bUxaCI7xlJydCISx1RiDcXxD3wMvXsBfBxzx4YN48Py5KLQhFRoQ+wNIYgnsojUSXL/gsy5cT4Yz0mAfH8LtHYdjHd/+wzXgmH5o/xw9tN8u6KLPg+WyHfu25T/0JNZ3fmD1THyS95T+nvd93vXLPgPz5KXP34L870jm7yE0dIi1J+BlD1J5ByIkcLEIZupg5W24YzgCjgs4NFnjpnC8DSbNc6uD87MakrAYg9vwProZCQsyfqMl32zXthzxAeLB82CvasnrgfuV0HK0dQiSD0+nMY4WnFMdTrcNh+D47gO8d+S2zJrnuOzD+dDK04vgQUHyFysxabnR/Y5fSvT3VS9GKpc8n/4ePztXHY/LpOuZdXzWy/sO5L96DlbvQHgsQ/z6f4NYrkAqSxBNGZJjQKhvwa8WwtWyxHC1rDQciQdzQ1WzkjG3waSF4JiIlEy40y9SNykJSLIe6fMy2Bxw/LmEIx1aYKxjHPSlFXlog60AjgD3I7ea4KjrI1qPxzV12J/7cBwP9hiOf56v/BtzrxlZlju3IGtWY9cp/95DMoJiEoQ3fiAeRgWvXgH1ryE87kP8+t9DLCuQuA4ucHCCo8DAdupDh3tFF2XYPzThlnaCuGNkOVJ/mR/vzshUz3SnV8mka8GRrMZ0I+LHgQBJ1mMMx2b0ZqDFKJJrPAaCbwDHIsBNQDg9h+iN4MOBa0qwfzgN3lT2+Rnc//z/wHv//R0B6771j5e/vOTukyVJU9/+AQKuerHQueQLL/09vsfzyl11XVzHrBfrvHrvWP7Lb8F2nkMgo+XZDsTHT8FtB1JFArdFCNCAkge3rMKZCUdiw4IMSHSnNBSD7+tg0sJwpJkwL6NgY7IhHxL5t+eAv244DjsdmfE6LwngFoPQDSxH0Iasrm7APhnCaZ3DaX2C+98suO9ProBjTPBY83Ewddnj8fVZ12WBclk58+qfdz7djuvIp078lryB+W/8X+X7IQlFut9pHUTuzszjyeckeV26nkXrXbRcWpHz5C1a76LlMuS/+Abs678HOziA+KwK0R/0lcpWWazK4I4QZqsbNTjlYrBdsk27g5aQsBxvCMd1MykTjqlMNUsO34nhmARjoL8PgP4cfjJz/TZhOUY6Dlzr61iO2gm4qkJiHGM4NjsQux0wSYTjMVh/NeCe/QVO8xjuhx7cP3/KLce1QKoDb6MgSUmWd2GHxTdgeJx4Lj4lssRJT4PKXfV91ni2JDSTcrKOU3s2VD7Bcfd/gvC3/wFC5QLSzhYkpQC+W4U4siCS5ViX4RRUOIUSrJvC8baZNBeOiRHoU/HGWXB8/vzSeqT7ngXH0Kueb30kY44awFVAqkQxx95oJI4uCmJbB3wHrjaA9b0IJ4bjf/0rvMPPiU5QXxKUndR+Ofn108Fzgsc7GrEx/16uBdLzKo2hSKC66hMHzCks9OIywTiv+pWd30D5FFojOH7xFcT9HfCdKqSGAu65kFxBFzRoqFRgM3fg7iol6y81ODexHGM43haTloZjptUYPSVJ1zppKSayUktlrGfB8QDgn4dDyWZFYXQB8dQA8xy4yhDW90M4Z204zc9w/+X/hzsBx5U9yXlFUxr4lmKSvyJIhsNxhAmr7Ka3jV6WC7wgv+2A/XmBcks351cmn37nzrcQvnkBoa5C2qlD+lIDH3i65IlMqCiqX3kEm3lwdx0EcBwewXn6FE4wlGdJtzoLjuti0o3h+Dxxhz/McK3jMY83heO3gPgDwPdpsdt+X2qZolTaLrBPn8B7JpgtwcFPsE/7cEYm7H/5DPe//b/wjk5nWIulJS3IQWR1ZF33baSEP2c87vH18en7LJ+g8H/DWSTQvjQcFrnglS+iDgEEErovM+7Jt98Cf866V4vIWLTMPZdPP4/g+B++hig+B/+6DKnQH0kjMKnU0BhUYKcK2y/A2QWsn1pwKwPY35/DDab2rgmOq2LSJBwTcxivorQWhQzjRhwegj17Bj+AIwCyHmMYrhKO708hPd8DHw0gjwRwienC588a73XBbAGORDegCXfwGfa/nsD9/s9wAzg+ixp2mHqq4+PzHvas61Z1/D7K/wIeHv9iSd5WhpugCNA/PHsENstjyDqOR2DYil6YSWhmHU/fLyqXCN88FPn0O3e+gvC/HkCUd8C/rkIqApKuQipqYI5psEfbqiVvwR7DcRv294B78svkmYXgeIdMyoTjjLGN4xR6HGuUD8HG4KGHEiEg01nraBmzqUHhi8Yc37yD+LsDiK0y+CQcIZydGlLLVJllw3FbQ7tTKNqDc9j/2oL74b/CO+7MsBLLqWP9yDJMH487warOx/U9JPkEjW9/yVauC5IJKAaQiz+HiTfXs/AtSP+fPpx+v80ql3zGkbyAKkzGtB+YfFJrAEcFov8bSP/+MbgkQHZlcEWAoMBA/UvVkjXYhW7XblerTgXXh+NtM+nacCSr8TC9nuMhYD2DPyvumFjCbOmY4xtA/B0gigDfQmQ5lsAlQDg7gtQywYYOXGEE63QIp9+E/X0T7vdNeJ+68DELkPOstfz8ajUw/CW7vUpIEhQH4ASuAHrJ1tLLLPkCSn9f7S97sPKf9sG2/ncIf1sE/+I3EB8XQzgaCiRFhKACqG7B4grshgOrXcVa4bhqJk3Acd5I9GTgM201xs9bbD1SAjk5lTCG48RA8AWz1e/ChW3HcDwfQDEE8FIB7OcfIZ/3wFwaBO7Bavdh3zoch5HFUlwylrmqTrpJ8glan+HgLa1RfI3PS58/+zuIh7E1P6OKpwCOljieLpp1fVzuuufnXXfT+uddv2r5T58C3xQh7uxD3N0Gf7wPLphQPAWc3GrRBNt+rJtVRbOVIiza32lZy/EumbQ0HLUPYOQ3yzNWAY9cksC1XgccB01IX+9AJDiyIOYI4eMZpM99U3AdxfVcmJ9HcPrnsP/ShvvXj3ADy/H4Gp2QLjmIrpt3fVwuLWbedfOadZ/lP4K3FCS/8/nTI/BZ0MtSI3XeoxkXpCFB5ejjdMFmhmEiAQf1q89PQfaeyyd9PH8Mofob8N0G+OMSuCpAlhVwuQABCrC9DVP14FSKMNcFx3Ux6Uo4vn0LRvMnow/tMsbSDZmV67AQutbJDPUqLEeCI+1ZbdUgM4Ru9V9/gjzohW616sL813O4xggWwfHwX+Cd9hLW3LKWXWyRxRrIr5+7SMAEIBbRH4U8hrAzLck/+BIeQxwvApG8B3WwZMgkgFeiAfRuGcNuGMzkwDEViOoIyscXxPUmy8V1BRVFX3L542cgDccdEZK6A1mRweVohsyTum5KimZ/UYT5z224TxqwlknIpC3H22TS8nAEWOzbHx+BxW9dekEfRLNh1gZHQNq5uISjr0P8uQmJ4Nj14LEWrKMBnG4T9k8jOEc/wZ2A4zxLbUXnH0f1fFpRfctWs5HyLXh4GiRunF+m4TP8ARxF8ORvTzLqKp08HoJ9SsSZAyjGF0zR87KmiXIzBOTyE3oEQHr+5n+BUKNZMU/Bt82RVNgtyMUSxEs4wpQasOs9WD84cNYCxzUx6Wo4Aiyx2ldoOQIsjjfyIzBELknglqTg+D5a3zFpQS4bc/zuO1/4/WsIFHMcRHDsSVAEAVwGhKMW5KEFNhzCddqwf3Zhd49COP7QhtccwMdp6knXlowN6lFMMeO6uTCKr4+bkcvPtkAJakShIRjpNfMFk7DgAhgmLbrIYo3vC6l9fD6qN74VV73AcvlX65/0/tVvIe58A3G3RnCEVNiFLEvglJAht/o3+zAkDbbyc9/+/KRsy8ewOwdwFh3KM2U53iKTrgfHKN7IU3FHiu8cPIVPlmNqnvV4GM+N4Qjw3vASjictyN0BhM7QdO2RZ/880OxuC/ZPJ3B+MuDOhGPUM/b2wj9OU/DMOh53qHnnF7X0cvmz9Y/o5TEBtyuUmobYXgVslseQBbssObn8S6XPeomQnp8WIW7vQSTLcb8ELktQlEroVisAvtyDIdZhKf2+/bm8RjiugUkz4ZgeAJ5Y/YLRGEdKxiRd6uRzG1iP0ZCeRFJmNhzpwjkZ6+98X/g9bcEaW44ER0BxdF2SoAln55DPP0PsMzj+ENbPHuxuJ8hYOx//Dd6/DuDvpDpWs5CyHEeRZZg+Hl23E52fum7O+Yi98OL6o/K5/Kv1T3qbgFtkeQfHE1b3FAQzyiE+vjdZb3B92qsAQC+tXH7iHs3QK7047McQvm5A2N6CuFsH36lAKhQhizAlWSM4KviiAgNVWFUX1ucybBmwaZOtF4DLFpghE1uOd8GkheD4x/fvhRd4EUzIj+GYthpj/iRd61lwjMotvDJPEo4nrZb8jSTxE84VUSgGCZlPJ6bStRWhb8OxL2D/PITdbcPun8I5voB3qMMHudY01SmGUwqWWcfTxkp+faiR5jr1V4Afv1TSVn0ArQTMYst7kXLp65JMDKB7zXpjVUzVn6rvvsknnXm/BftShbi9DbFRGEpf7wmclZislFUuOhBlAF/9DXSosKqA9RmXcPzh7VvvH1698uYZR1lwvA0mLQZHQKh/AKO5lLJ8yPDsGUXKg2tPjsP/7h+EAEq61mk4xrsRxjHIRZYtm4Qj5G8k8BMOhdZzlDQI/3YMpXlmcdP2HX2oWJ0B7OYQVgDHH+AdDuFDDdu2bbQmfm9L3Z6IfS0Lv7i8b4Q6aEVysjzAXP5i+if9CZEVn4RYbMEHgE5Y+XQ8/T3r+qnr4puVqi+XH/aZq/S/U0rAcQfSFxIk+Qmkgo/AcqTrn+zCKMgjS3ALlu50bNTrFlmOP7yF9w+vcH043gKTroRjPF3nj9QQRHBM+PYBGBNj/PbJTD4CnCjuOAXHX9YBoBXBrwPHoyNwrwTpm+0w5lgogo8MiH/9BKUzgmgO4ehDWM1zOM1BCMdPF/B+8OGhNRtX21kUm3M8XV1WPRlix7Xn8mcrmiVeMkkrlV5G6e/pGrLOz7uO6vGNFmOpF2Yu/1LDSf3T334J7GAf4lYDYmMb0hccUqUBqVwCdxyIrgD21WOMCjIswYWlO7BRx43geJtMuhkc0wPBj0MLklxrSsqsHI5PIX0TxRy5DslhEP5yArU/hGA6cPQRrGYbzmeKObbgnPTgHZ3Da2TATsjIGnvp7HJ0fVb5KfhG1MuqJ25OLj971ECrdflq2cY2YmAmYbVtgCWt9e0SWPpepM+zKMQSwDBRPl0ul3+1/gmOrgjhy68hjOFYCmOOBVo5K7Icx3AswNI7CTgC3j/Q/lJzcg5pt3ouHFfIpGvBkVzq2Gr8AsDHBHzIelwnHJ/0IA3JrWbgjgbhL3+FeqFDNG04ug6r2YHz+ecwIXNmwb0Kjtc0HPPL1qwBemkk2IixhU1/JM3x9PeoXV4RrE3hlOiznSh31eVBueiTy7/URZb+vS/AnqiXluNBlJApKpB8GsoD4OlTY1StqqYAWDpgA5HluGI4roNJN4LjF6lpcwRJgiPFHXUH/u4zeMFmW++Aly/hpxefWCbmeARwD5DqP0P265Alpksu04Tjz1A7XYgDG443gnUyhD0BRx1+vZPhvimTlotvdsImKfWJWKRvRrs6pMovyoj4+nR5lstP6TnUv1irBztWJi3vdsLKT4cjqFwSho3i9KrfSSs9WW/6eFa5XH7iZRO/hLQQjrW9YBVwvq9CLj+CpDJLpmHgEoC/+Q2GkGGVXFiDEqzOCewX+8F+Miu1HGM4rpJJmXB8/vYtexXNHUzHHIOGAIysxvSHrEaaLUMu9W8+wNd1+P0X8GnZsuuszBMnZKbhCMllEI4+Qut2IVK2OoDjAHavA/uUYo8tuD/58LLgmAm3enQmA6qLQvHa5R64/PRL49p6zC9cqwZqBbBiDQLBsb4VxhwLW5CLMiTXs0RJlvHbPQylMswYjtoJ7P1rwvG2mZQNx8RI9KvgeHoCRubiXjQ7JoYjTSWkuOOfPwAdHf4fXsC7KRz77bZ8oDek0HKEZDBD/PlUUNst8D6THTaCeTGCffoJdossyD68n07h11KPyLTFNmlpZJ3P6rTzLMu05ZjLT1vsCf1fAGwPPqPtdqNPUn9J3dHxq76nyeAXwCbqLQRzs4PPRD3pcpHnMFXugcv3RAhPvoTQqEGslnT5oKxJZDkGcHQhCsxi3+zKA2kXZmkASyrBMm4Cx1tm0iUcUyvuPp/RkNLhIdM4Z0+fPgVZjnIExvghJECSa20C/hiOAD1//h9wfTjuv38vyi9eiFIbcqEByRxBKTJwMIj/dooAjheO5bq6b+mWYn46g9M6hX06gHdswK8ZS04XXOv7Nq98ngbGACMLOmm9p7/HFc0rl3Vd1vWL1rtouXsqn142j3YhfnkAsSRA3n0CrkhQKiVwQQxXZf/mCwx8WbcKrmuVSyWT9pTfD7dpne9W3zGTZsKRXqTxDl/v3r1j5Zcv2Q8AK0Vzq5VjMPLtT9OZoRPA2oefTMrQqvNpOL55A7x+HQJr3mrg5Fbvv4cov8AEHGUBEg0C//4YWr8HbuhwL0amNTIU86wL+6wD5+yk7/18UfaqGb1xWQtxyhJJWBRpq4K++2Y30u/sFuTyZ1uQpJdZVvq1LMgEXAPLMRHnTVueSUs1lz9tUKT172tgj2SI1R3wJw1Iu4/BuQ+1Ei56K3gM7Lc7GJTLMJkLq1zCteF4F0y6Eo4778C+//49e/GHF5iAYxRvnIIjpaKwABx/AcfryA2/LhwrArnVpviXj4rW60HUXbgjHdaoC7M7hNM5RpwFAAAgAElEQVQ6hvNjG+7PPrxqd56tsuLzMQtvW278MzZcfh5zXPHzuKbqKiqYqkKsP4H4qAT5i8fgkKBsF8FdEaJr2+ybr6R+WV4dHG+TSVfDEWDfA+wPUViGtkU4DsIzky61dApm74VvGnKtKe4YD+dJWo5xCGmZxScmLEdArvYhD8qQKwbBEeKPH6G1zmzJkn2na8jWsAez2YN9egynNQy2SfAqC1qOs2Jck5f2ovhUZaF1DbOy1HGd82KY081+APLphVIFWCIUkmXhzbPkp2KEKthEvanv4/ufLpeKLWaxZtb9nrBU75l8XwXb24b4RRViaQfyngyZ1yHXmCVBkQWaPnjwBINiSTcVTTPLuLnluHOLTFoajnGmOl4JnMBIRCQfmwAZxB2PAZOG8jyFtxI4AuLw+JjvHhxIBMc2h7Ktgfe7Jv/4iWlnA5mbDI5uwOq3YA16sGm848cLuIPuL/sp55+N0kAAlFlWN1nEi1jj6XLLXBdrKpc//cyk9Ehw3N2BuK+NePVJQXpcgsQaULYkcM+zRYp7PdnyBtUtxVA0rA2O62LSjeA4BmOkRptc5SjuSEmZXawSjuC7BxjDscIgmcwUPx4r2lnTlh1fsjumZQ+bntns+nZrqNntC7h9Ez5Cg2vqw+SrEzW+1Y/0Uw4txozyvhWNg5xzPt2AXP5s/S/rVvtmjzEjYc1HYYVlY4rXfYM8VPkBHBsQ99hIerxX4I9KkKwYjiJEwQH78kv0qyUYvje0NLto8hqlJcKEzCvAuzKslkjIxDHHWZZjEo6rZNLN4JhKyKThqB/CHzyDHydkru1WA2L9GLxT7MiP63VJ16HAMmRPVYWjv6Lw+QKSI8G2+rA7fZjdj3A6w6H9sVN0hzRFKf6kIRn721nHr3vdsnJy+RNcmvfSuC7E8utWq4GyCkZTB8sqePWxIe03VEmVLKXAmARFEkQGdvAl+ltF6L4HS7Nh9k3Yz/dgrQ2OK2TS0nBsHkOIM9XSrIZESRmyHGkg+ACrhCPkujSQLVFUZKZJHg0C/xmFZhMy7Vt9YcAamTCbZ7DPW7BbI3ij/gy3Om3hRZbf+NHJOj91fNKyxLx6YwHzyj1k+TJ8emf1Zwy/IkueyeXL8Y8W2DIgpc6crDf9Pb49Wcdz+ZP6LwkQth9BKDfA92qQdsqmzIpMKUsy90SINEOG4FguwpA8mFoRZv8UtnoOG8/hrspyXBeTpuD45s0b9vr1a9BQnqQJe3gI4ZiDKU8vkzEEx3YzdCkbO+F2BBR3pIz1yuEI8E6H4AjZEqHIgVsN8acjFFpdWzZHcCxBMkd9mGc/w+mMYB934Q5N+MzKxzmu1mZYc20xGImSvctwBrlxM0MkUblxq2Z8Tydipn5Br584FIZRkMu/Uv/0EmmQ5XgAXpUh7VYgF2qQC3Iwtzpwq7/6Ct0AjhpMDdeD410xaQYcwV6/xjQcAWGcqQbY+SnYoz1gAo60OnA0M+Y24EiDwP/yCYWzE1uxLcnWRVijAczmJ8PpnKv2z92hO/KLHgaLxRx9axDOrZZLi2Wjo/JAKRKQIWh8frIdaasnlz9gpPuKDD8jTBwosGyB9a+IF2edn3ddfHfSbE0/PfPqeSjyywoYzY4p18H3KmQ5QiaHmkApihBt2PjiK6n3uAjd0WDuA+ZHwFY/LGc5vnlzN0yahiPAXmM+HGOXuh271s3QepwHx7dv3+LDq1f+UuMcKeZIliMg1weR5ahBggnxhx9RPOlC9nQ4AwZz0IF1PoB9/lc4JwzOaJBnq9ds5628+glLP4agBUb2XGDf0bEgWRZZeMkWJKAZQGp8rg9ELvnk8clakvZjcGkuPzQUZui/KJfZVh1iqQ6+uwdppwSZq6HlqIoQPSfYnbS7HcGx0oXVrsJaGo53xKRMOJIB9S4xpugwZTmOXerEBi0NwP98Clge/C0X/s4BvMS6jkFihFYD//AK14cjIA90qIoACmmIHz+h0GxBthw4PcOyBm3Z6piwzmmx2x5c/Uo4RpaelLIU7elVXcI+llE+jQc7tEAvLcosfuTyA82k9E92+PAaoZByGegn6DaGaaT+9PmiDDZLTtbxeW+Bhyaf9DQBxwZkhUMpSJBEDyL10C92rV6jLutMhTGGY7h02cIxx3j/mNtm0hiOsxaVjOH4f3wAOytAoG1YgwHgAAvgCLDd6Ik5o7gjwRHAVuRa7wDes2jl7z/+8T2++abvN1++9D9gxXDsQjYMuAM3shxbsNt9OL02HB3whlne7rynPXW+mFF+OKdc+vySYsfFH4x8Kdj3J/pc3rxSqYRB8l4SRZMHSmF4Iw1X6sQT18VV03zYCMIU0gjqnxKbyx+rK6X/4hZYQxqJpRrju48EaaehhHCUIUlKuJ7jbw/QKxVxLTjeNZMWgyPAzhD+2MEJBFmI4o0JONK5s7RrfQT/5dPArfX/+B74pg+/+RI3gqM2gOKIUATLlJmgiD+eonjehWzpcEY2jN4F7A6Z7304J204Iwt+GirDiFaMOmHi46csxmLqQqprFtgKcmhpzjsfX5vLDzUxS//Bsei+BOxb4E2SVa5ogwaVBPcsWU/W8bSoXP7V+i9SzLEKkdZyLO9CaihQCipkVbBlSZEEgYH9Zh/dWh2j61iOV8LxFpi0FBybx2CaCJaEo9QKwVDfhj8Fx18Wun0ZjjNcPRwFyAzB9MFi89xWLEdyBt2haTncOu0qVrsJ57MR7CvjxYzLsvAWPR53nlXVt2w9D0V+bM0l303Je0THp74nXnTUaWMaDumPyG0nKM6y4q+SM36hJciZyw/1T0ZBvQpxuwZeewJeEyy1UJVlVbZlSSA4OuzRltfd2pVHcIfGTrFotgFLXdCtXgSO62TSXDj+6QOE38lg2jOwoCEHoVstN4OpQ7TiTlhHC7C34ZNrnUzKjOFIyxcBfhM3sxx3BlD6IlRfgERw/OsPKDU7UGic42gIo+/AuiDLsQmn24NrjKYTMvMsxtFE1wMKCLtPfN24g0WWZiHqOKOUJVqwh5F+J03QXP7VFjvpJ2mFj7VXApIhkmLqe/LlkYZn7G8nr6fOPUuOn3Gc/PVc/uVbolAHq3OIhSKkR0/AHylQJMVWlYrEKVtNJb/cQq++iyFcGDtFrASOt8Wk+XAEhN/FS5VF8cbz6L8Ub5wHx4PDQ//Zs2feHxNwnNiBcM4GO8HCE4lsdXk4VG2hqMQJmX/7iNLPTai2BZvcasOAfdqE1e7B6TXhGj48Zk92xlHKf4rhtoAHt5IiufxJNab1n3x5JOFFMLuE3jB6ZVFdxSlLMjlMiqZ3putJ38is87n8y76T1n9gOVYEcbui8fIOpEdlS1G4rBQ1hHDkwOPqJRyLLiyjAvPiEM6jZ3DmDQLPshz/dEtMuhKO0XxGYbyOYyoZE7jUiQ09gumDTaC8E2apg0VvD+E/e4YbwxEnJxL296XyEKotQBFsyFIFwvf/Zpc/tyXFtmEPejANHXZTh0mWY28w23KMO0Yamr40e460b43C8Y92YTJGGZUf15caexfPuc4iai4/ZUFG+hSSUz5nKM+3h4xJxYl7MdNSTLnfhUQMcpa7nA5bZN23XH6of7Kw6xWIDc2Qqo9VvqtaqqbJskbZatUJhvI8OuAXe7XQclwFHG+TSTPhGO/V8P79e+GHFy8uF7lNwzE1fbCOMO5IQ3noX2kfHq0I/gyrgCMk7OMSjgJoRSTxr8cofepAtW2b9o6xrKFvNUey2RnA6V/AmeVWr8T8yytZmwZiOFKCLBmqIEslOQaSIBU24jJskS4fm5QTx7OGahUvs9dUay7/av17GAm1akHcriCyHKFoGmRRhqyIjugxzp5+hU69gaE1gll3YF7XcrwLJmXAEYz21nr/HsIPLxIrgM+BYxx3JKuR/pWwWjiOtAt5T6opdhGKYIZwPDxC+VSHYjuwe2cER1hND2b7BC7B0SQrRJ/Xj5d0dPmc6YhO1jjJrHbk8pOaYYWCN51xCUskNVWYlRlJq/iKTA55CrH7PUqUm1lvdD6Xf6lgrQZW9cG39sDLZVN6VFYUbQuywiDHbvUXj3CxvYfBoDWy9uSCcX043j6TZsOR5lW/Ayu/BNMA9mMi5tg/DYfySCx0qXvtEASVRgiMOBmThKP14YP/T8+f+3FC5joxR5xAGmmQ9yQoIxGqyGjDR4hHn1A6uXBU2/ftXkeyHMDsnsO6GMA5O4dr6vBYGmbzYKlFD0C6XHw83QEXLRdfl8u/+m3F4c9aUILCFOlY4k3KpRuRDIPcpN5F27nx8n0I1QrErR3wcgkSJWSUKhSVFr0VIPjMYU92vYutbW9gDFRzbxuGAZgXgPMIy8UcaU+r22ZSNhwRTNeahiNAK/yyON4YwLEBoB0CMglH/Rj+jnPk745G3o3hCEijC8h7NSgjI4SjY1v8px9ZqTWUVFN3nK7NDceGeXYOi9zqXgTHzJhfCpr+HItvCrJRxfF1886n25Eun8uPYr5+PuVznq/zqzgvgREcG3VIJYJjA0owCLxAc6sd0XPBvviSdyqqOXRtxbgxHG+ZSUvBMRgAvn85Q4bA2CAwhmykRUxmwBH+7gjePz3HdSxH9uof/1H4+1evaAC6JF9AVmpQuheGJopMZkwRf/qEUusCqqkHS5aZdmQ5ds5M93yo2GQ5/ioepLwRC2uAxXBMJrxSIw4mKqNyyfPp73Hhq47H1nzyhZnLv5xenNa/M2KqVGDyTmg5bkmQ6gRHLbQcRR8i58BvHqNTUzEcSjD2Cje0HGfAcZ1MWg6OkdUYTx+k1aQiNo7heN4Cnm7DIwvyB8DfiVYE/ydcB44+e/WPEP7+VTA75xKOBjTRhswYudV2uX3ONMPmdteBYXYtq9n3rYs2nL6pOLPgyJxUlpQ2eU18ss5PHY8D+5G7Pa/eWMS8crl83We2dpmNzgpnkEKTIYpkuQWO+5LOGE/IGXsCOsvlz9e/Bwi1OoS6BmlrC9JuyVaEiqSogiPT3GrOOb7cR2erjMGwCqPS75sDwzDdnR37Wm71LDiukUkrgWO/02Hlet1vk2vtwbd9+DScZ5Vw7J2eytt7e5ICKF2CI4Ps2Rb/+Ekutc+hGTbsnmlbhiUZF6em3TMVu9UOY46Yl0BZ2KbJC65dAzogaKG1T2GGZOgh/T1uy7xy2dfp0fOvYVZIZF69D1k+6cbnYNUyxHrNlBoNJu1UZIkr0EoUc2RhzPFgn3d2S+hfyDC3HBifP7Us7d9tW+uG4yqYtDAcB8fHgnZwEM6OiRaeoL0b+p3Q6irXEcKR4o7NcChPdw/eqizH3ink7T2k4Aj+4wnKnXNotu3YFwY39RHMzqll903ZPu9hpuV42cGzMikZx9OQnYpR3jQzMycT9BDkUzKGZhpdlbQiNV3n/Lzr4gdjXrnrnp933QbJ93tgagVMqUGoq5AatG91CYpYBk3QoISMyGkl8H10drfRv/BiOMLS/h1WAsd1M2kJOEKIpw4aLQiS0GaNRgMTcEzFHcuAF2+0dS232vfZK0D4e0AgOBbVrqxxrgwcUSsIquwyi//4kZWbbaY5Puyuzo0Ajh3YfQv2eR+OaSwylGfF9lAW41YsJrO6DZfPokHgZJkkQwwqBzOSIZHod/q2zpgUuYEJaAbXx1M6U8dn+eNUXbL+XH62/kk3BMeKAFGtmdJemcn1ApPFiqSUmCOLIhc95rAvdv32k32vr3uKUQgsx1XCcb1MWhyOgbcDpjchKDtgUpSM6ccDwTuAXQ/2/xgnZWI40kZb/8WC//vn8Ghu9cJDeabgCFm0R6pVKqgFBtklt7oll05PUXBs2BembRoDyaCpg/0+QsuR4LjiT3pudLr69Oo+KxY/tZrNfZJPMNR4sP9QxicrmDhfy2nDbfJ7XK+Gqw28XH6oaQ2KBqEiGqK2rfK9MuSaYitKQ1IU5shKMH2QY38P7Sfb5iUcTVja9oosxzUzaS4czw4PBTx7RmubhHAEBFrTkdZzlMilrl8+lJSEWT8coVolqLJtKYzJ4o+f7fJpWyo4OuyhC7PXhalb4WrgrY7hmibNrVYX2vZgfvdarIQaFTMWK77yUpsuP7YcpxRDYYwF4seqBGYks6uOzjAj8TJd/5xyufxL/UtgCgerFCFqDfC6ArmuQCntQil4jsJlLtgujXP024/rUn8kwVAcGLwMc4ibwfG2mDQFx+T+sDTO8ewQAp4F67oJximEL/ZCMFKmOr37YDmIoSeG85yEUwhpF8L/Avi/xw0sR0AudslyjOEIxWMW/+mzUG43eWA59hwYBMeuBasfwBEBHLPiU6saZ6hGsUcjo+NmjV/M5adGDUR6HM+tzso+p6imaoAxw6Cjl8T4BZU4H5SP65gXu1yg3IOUrwWxD2GvCqG6A6kGyNWSrYgNppQYlxUlXJVnbw/txyXcCI53xaT5cIwXuQWEajwAPAOOtEQPZaptD766Dc+6Ao5v3rzB69ev/Xmbeo9jjgk4jiRTKwiK7DHwnz6jfNpyiq7Frb5lW+RWN7uWPTDkYMHbAI4Zn3kTYcb9JtWBtOjCzH61YF4mlx/emLS6knOrKYQxAbkZ91KxwczEcnHp7/ElWccpDDJLTtbxdBMeonzSjVoGK4sQK9uQGkVIBRlKseKoRYHLIsFRBPYadvugLvVuYjlOwfGWmHQtOOrttjBgjNXrCZ+anpgEHE2/6Ws7Ox7Nr44tx/337/36ixcexRzfvAFev8ZycARkcQR1ZEMraJA9C/zo2Km0Bzxwqy+GjmUMfaNl+Va/7dujvuJYM+CYtvBiyy9+6I1LuyI4pCJ0VMfHeeSmR5bOpRs76UjH16U7Uy5/0mJM65+p8CYswYyXWwjNaZPx6uOXlU1ZfNGprOPpZjxo+Rqg+BAqVQhq2ZR2FSZXi0xRy5JSpEHgMkTPddj+E35+0ECvO9TNfUnT9XKwC6E1WGL64CJwXAeTFoLj6RHYthLOjgkz1dHc6oiN/OKCObXaeG41xR7NJnxtByk4wq+/wI3g6I5GmiMWgpgjWY7Hn+XyeccpOgbsrslNdwij1bXsoSFbJxehW83csDNmxeLmHZ+CW9qty+i86ZjjPDlZ5R+a/HiGTBpSmTCTDGYk4srpmONUDHKeW54ByVz+ZfiCFu1QRbBSEWJ125LqBVkqFKAUJagFxVG4xINxjnuP/fMnRa83dBRjX8LK4HgbTLoSjs0PEErPweKG6LwpKGyHSdthvHFwccFqwYNUg1O7XHgigCPgU1hiwnIE/DoiOP4yyJe2Z13GrRZ7PUXiFdURKSFDMcfAra6ct1D0fFidESy9Z5ttUzL7bdijAWZajvMtxMsSSaia7mRiRxEnZ9YsCrdcfqiBLAtdYIG3EX0utaqNX2/TA3F0PVFOUy/tyYRhSeEQfewVqJNZ6fH1KsJyufz4LsWaSOtfUSCUFQjVbUg12QosR1liarHAA8uRFrvd28X5kwZ6Qw9G3R0Yfqlk3MRyvE0mLQZHgG0DwngYT5SMGVwghGMNoEQM/UlgTMJRPz72SwcHHiVk9q8Jx28/fBCLz59LMRx129RUkQVw/PizUGlfoOja3OqaMB2C41CyhiaszvnVcMww+PLDd6wBk4Vx4vSQGnK/kyGJefka1TEYi0IgiwzAocRZuv7kdbn8hH4cMKUIViqYYq2u8IpqK/WKJMvcUZUCl2XR4bTwxMEjv7W/K3VXDsdbYNLVcASCVcBPsxqCCI40QwbwOxR27ABKPRz8bZye+qq955UOMIbjyTv4z5vw472rF7Ecv/0AsfgcktiDInGoughNDSxHK4IjLzqGY/ccbjg9mO0hrMEQdmcIx6aYo7nq3p6qUFQmhwq5y67nuGz77rF8ET5l8Y3ET4zDEYG1mRgRkIYVuXnpez0u7xhMVVQY5qWFSd/j8tPlLu9JLv9SF2M9iWAK8aECQStb0k5JlqtVKDKHWipAZr7DAY7HW/b53o7XNbmi110Yfgk3sxxvkUnLwTE5xpHcarIgu10GVFH04V+Q5ejDt3z4cgOecQpftTEJR8B//vb6cISta05JU0M4kuWIyvk5Srbj2F3TNr2RZnRMmP2m5VwM5cCtzlpKbC6S0lBVMq6Iy2WdnytoTr3x6Qcif2KcY+Ie+OKlJTjWWPIeRfohC9CM4sxBWCSht2ToI0ioJCE8S7+5/LGqk/oPhqeVwIoCxGrZkqolFsBRKUlKQYQiCuFQnsdbON/bQXfAdWPX1XSCo3B0ZBefPrUX3UMmmZBppuG4RiZdC45mpyNIjDHUapC6kZXU7cKuVH27Bt9qJ+C4F8YdY7f6hOCY2IGQqqE1BmbiIZohk7QcIemaI2gqH1qqoMjijz871W6blUxftLpDmN4IERzhXAznudWL0i9s3fz1GsP6GJ+0JLPXaczlT973kE6Zg8AThdMLUpgJi1KZuS5njMWkHXjdt9bksxDA+IHJDzQXw3ELUrWIyHJ01BCOLIg5PtkTW3s1giOMXRcRHGEXn2KlcFwHk5aGo9VuCzJrBCuBS6zLUK2GT1gXsKthvLEE+Cetli9tb3tqlJSJ4ZjenjVkI1sCjtBgmxoEpviM8c8/S5XztlsyHN/uGaFbTZbjoAena8IOhvKs3K2+fqfKr5yvgTEc5w1wjKviJoOTeCHREnSpZemCouly85qSy0+Mlk8pi4PJIphUgFhuWFJVJstRUoqqo0oyFEngggCX7Ve9870vpc7AWx8c18WkTDh23r8X6tHmWv/9+Fj4m4ODYOqg1YYgB2CMhvNEbCTVxWAMkjIt+N1tjOE4CGOS4wVvPwB+mK1eAo6AAp3gCA0CFJ+Bfz5DpXmGshnHHPt2AMfhhWQHlqM1Y99qMTUzY+EYYWQZRjFGf+q6xSxBlsuf3MUxpcdgEHgSbsn1NtPHFypnRs+5QpnDS9kT63im/POF6k1BOLOd91A+B/MoWy1DoC0SqiXIlRrUAiVkNC6LgityiNjfts+3trwLgyv6TS3H22bSFXCEUI821/rvxxD+5iCcVx3AsRHNrSaXOguOgN/FJRwPDwHlGbwpyzFg49WW4ytA/BGQ7H5fVXlZhQDNtS1VYLL46QzVVhNly4Y1HDqmodtmZ8jNYce3dYd2UoCXjD/NMxby83evgXlbs85roe+YLB3amHfNKs8/BPnBeo5FsIYKkeCoFe3AciyoUGXBUUSZBXB8vIXW1hYuDA696g4M27KMcq9h/Xj0zsGf/uR99913mTPY4n2r45hj5/3tMikbjoBQR7jz4AQcE1MIaazjqBfGHAsV+N0uUPDhK7VwJfD1whEqWY4nJ6ieN90yxRxHQ5jmCEa7a1sjU7IuenDJcowHgd+4A8xdT/HGEq6u4CHIp/UcybI2p+O349gtrXySSLhMLUobZK1nXC+Cpa+L09VJmPpZ18exzFx+8JzKHKxYhagUw5hjQ3ZUWUVgOQq+y2n+4ONdu7WzL3UGOowtDt22YJR7sH48goM/wfvuO7Y4HG+ZSQvBcXAMoSpBOBZbgrK9PV7sNglHoIeCXwlWAad/NJwnCUdS5i7g9QGfli0bu9VLWY5QRa5rzBY0RVAUM4ZjG2XHdOy+ww19APOiA3Now9YvEFiO1gIruawZa3n1S2iAxVM+KT+T8HYVBTHzwtrmZJcnzs/Iaqeb5LsmY8nYZS4/U/8+N5lSUFhBTcCx6KiKwhVNdhXanFVwwfbrTmtrz+sYkqxvOREcG7B+fHczON4GkxaDIy06cUpwhKBsg9kXcdyxx1CphM9YL7Qeg3hjJ4QjTSHsOPBkE97eU/irgSM0ZkNTVCimDf7pxKm1e7zkmLA7Bgx7ALPTgjXyYI3O4QZwTMX4luinGUUnY4uLZ6dvLjms4X7LVxmNk52kWTpOS1qgmG/y+HQMGEifT36XXbBYDkuMVU0ejymcy5+O08syhGIDQlmCVClCLhehBm61BlkQwH3PZY93/OZWg3cMCauF4y0waXE4AsJxC8L+Nph5AWEUJGQy4IhoOI8Lby1wFKApDMrIgXT6CdXzXmQ5Drmh92EOhzCHDuzuOVzHhWslXLAb4WneOMOocrJwJhC2qmz5A5HPohkyU/cqZcll3UtFNJnppgbm3+jGxzd26r00s9YHIV80mSwqrFCBWJYhaTXIFQ1KWXO0gsplHy4HudX7aG7toGN4a4Djmpm0NBzLIo1xrLMQjmC0H+uU5ZiG4z68vWgXwuu61R+akLdVKEMOjTtmgQlMMZnMCY6dC7dimKI9MJzAre72uUFwJMsxgGNmx1gsu3x5eVQ+NY5RjmJRVmztpM4jcz/sXP7krYnGOUpwg+NJvSVfcGl3V5wc9A0xzA4rUC7tz8T1NCd+bJkm71V6Mdtc/uWunGn9U0JGBKtXIJZUW65WJKkkO6qmuVqQrZbIrXbZ7o7fbGx5HZvLo1JvaAi8qJdX4VZHSyiSwbYuJk3A8c2bN+z169d48+6dsP/yJYsTMrTQLa3leAwI5Q4EqR5mq4NkTAXQ+32mlct+IZpXTa51PBC8A3gyVgfHC1svaJKmeY6lWgLjpy1WbXd42TZhDxyEMcduaDnqXTgOudUZlqMc9cw0PLOOxx153vlFjZRcfqiptP7TluM8gzF9Pqv8vHoyLdE5BuNDlS/JECjmWC5CqhRsWS0ytVLiqia4CiSIHgN7si2eNbbQsTlGpR4MYRd6GbB+DJZjgPcduzohc5dMSsER7PVrLA5H2jahD1aml3wZPsUdpUqYqV4HHEtqXzU41zSB4Bhmqz+foHp27lYtW7T6JgyDLEcTxlCHrffh2vZ0ttq0JrujIseYitzhVG9VUhQz4+4cXRd7u/PqjTvfvHLmA5dPcEy+0GhozDj2l0iu0SDkWeXoflhp652yq6ny9N2ckdXOqpds0eTMnIcsn6xGijkWimHMsVSylXKBqYUSjXXkMmQECZmdmtPc3uNtnUOvudCF4rJwvDsmZcARwv5LTFmOBiCYgHs6swcAACAASURBVBDsH0OWI82i6odDefq0ikqUqaa51VIttBhXaTmGcCxrkmMWfFcI4Hj6mVVbXV4xTdfuO77hGtzodm1zOILdsyTXMS5jjmOIpUyEVU+JHkMwQ86yzvSilmi6XJacX7t8K4o5BhZZOls9QxnzLLd0Peksd9b5XP4V+ndMJlO2WoFYKkIqVyBrBagVFYHl6Anggge2u+ufbdW8tlWQRzeD4+0z6VpwtLsQKN6osz4rl8luBPr9+XAcfIC/E+1AuOxQnmYTsq5CNTgiOCqqz2x+2pKqzXNUTcu1+6ZvuCNudEe2OdJh93qSM8tyvOxfWQ71bBxdf2ZLFt5y+ZOaCU10mj44a/hVHNsNXPGkBemAXfV9HA65Zrnk9fHfD16+ElriBMeaArlchayVoWiSo2kSVwQBos9ctr3tN3d2vPOR6+nbXB0ZVseQh0Ord3BgL+ZWx5bj1XBcB5Mm4fjLJOfXvzycbwBhH2DmIYT/6xlAK2EcN5uiJYqC3Giwy4aARWwMTEdyre1uuCrPLMtxdXBEwReiQeDHTq3V5lXLQeBWuzaMi7Zt6ZZk9QzMgeN1bbL8unVqgIZfUf2EyuTrQ1YAK2FJTgZDpuOXVD7OyKTrSY0UGv+cdP25/Ms7PaF/BZB8CLUyxGLkVmvlcIaMJkGhZScIjjtb4tnODs5HLvRtjpFhwZCHx4vD8Q6ZNAXH52/BPrwCm4YjREuEYAuXc6t1FsLR6PeZWi5P7DwoAZ7ZavnO9rYbJ2SuC8f/eHjI9VpNFpVtpe/ohQLXNMe1NXKrz85ZtXXOq6YLe2BAd4aO2e3y0HLU4Tg2PHgZq/5cu4dPWnxMlK+cK3xtMZkX3m/5wfTB5MD9RBZ5Al5pWIpW9DxfYtVyL+8NWTpIJufoeyRnot7E8eAW5PKn9BTEHDUwjVu8XmBSuSDJStHRyipTJe1yybKdPfGsXrfaliuPKtZQ93hRl4ewege0FMMCCRmA3RWT5sLx7/gRGyiKoPN9YQzHWhhz1Cn2GMUc1TJ8cq15GZ5FCZlOx+du3Wu7p9723p5LQ3lo8YmdaHvWZdzq/3gIrtdAO5opfQcFhVsFX2BBzPGM3Ooz1IKY48g3XJ3capg63QAXjjNcIRxnmSqBj7d6/M2s8YHIv+ncaoopmomslhLYoLf4eQjyFcDzIVQ18GIBUllzZLXA1VLJ1WQVsiiIwXqOW7VgnOO55WJU4dA9CzeG420x6Wo4AsLfHYENFAj6PgQLEILZMREcOcCMFBzjxW5FDx534bVdeNt7WAkcXWegmtWSpjiXbvXpZ6fWbLOa64hWZ2Cari4aPRoMTnC0ECRksrvFcjG/bAqm0tnepCUJIWtl8Fz+rJij4IX3zBctxhKWX9Z9zCpH1s04uzyxaO3kHOtl602Xf4jyTddikiQLVXKrCY4VR1Y1rpYkgqMoC4LLfQa2teWf7Wzz1sg19QZXRjeG4y0yaRqOAPuAyK2e0xCn3xeCDRIoJ9OP9o+JVgIP4FiHJ53Ca9nw/vYA3k0tR1cdqKZ4CUfXtaVmi1WbbV6jmGNvAJNijt0eTH0Eq5/HHG/RXFqdqMwZMtcWEb+EbtmCvIxkRn/dH/mk0YIAUVMIjrZUbjBZ1aCWFa5KkqsIQcwRbLvhn94YjnfEpMXg+BRCsFwZWY6A4PZ6wUrgEsosACN9IjjScJ6WD1+swuNYNRyhDh2jUBRVzVehujakZgvVsybqjuXa3aGoO4ZjkuU46tu26YbZajsdc0yNc0RqnOOUmzw2DDMsvazz6XrjzpLLTxmMk9AgOM5aScl3LZaM76bnVs9j59Rc7NQqPfH1gcU5Y+JALv9S/6YLJkkQqqXIcixDLsiOVixwhWKO4dxqsO1dnG7VrHPDlUcNjutZjrPgeAtMmg/HcK+YFBzDoTwUd5yAYznYjtVvdRNwBLzW8aosR4IjCmoUcwQkfnrq1JotVncc1x6asm4OYHT10HI0XTj2aAYc5/Wi/PydaoBREo0+UV4lHkIVLCU2K747ldZOp7lTS5zFi+smmTzxwopO5PKDSNIs/dNtIDhWNPBaAZJaRmg5FqGqKhSaW00vo+0d/7ReNc/tQnHYcDDyitDl4yUTMmk43hKTloZjr9sVZVYNVwKnmCMbMNpMQi2FK/IEcKRwESLLkeAIeH+LVbjVk3D0HEjNc1Y9O2UN1xetge4apu6HcNS5ZfbDbPWU5Xjdrp9e3WfhFcSvKzB13QORz2B5oLUL0h8nkY2eyGZbbKJ8eo50XE/W8VlycvlX6592nZAghG41pDJZjgq0QhGqpLqK4NMOMkCj4Z9tNbyWIfijmu2ObG7plVrN7AVRuAWz1XPguC4mzYTjDsC+p3GOFHNMUbrXhShXo5XACY6DMNlAcKRsdb0cTh+koTx9cqtTcOy8h19/AW+pbDXAdUB2B1CHHAXVQcF1bQ1M4s0LVM9O0XBc2EPT1Y2eb/ZMbug6LNOA4zjw7LSLRLeFPtKKoLVsNbn8K/XPbCtaAFWm3T3DTuoE09UQGnhXxBDTQ4DG98bCGKAZC4GE9U+MbMzlZ+jfgoyCYIlaVRZqGqRiAYpShlpQoEpS6FbT/oONGs62ttEyHHNUs5WRzaFXalgajnfBpCvh+AUgaBEcz1oQHRGCS+McZ8AxACRNH0Tft33fFz3P82o1d5Vw1E8Hml0taZJjFSHIKo1SO/vs1M7OQ8txOIJujGD2+jBH5FYTHFdgOU4vEHG74wwfmnyFwbPTVvKi7nT6RZW4ThItZiey35IINpYzUS5xfBwnnvEGnOXOPxD5lK0uFmVBLUKscUhF2VGUOldV1dUURZQFMVyyrF5xznYe8abhYFSTMLKtm8HxNpl0bTi6/X64PStKwf8wiOEYrgRO2WqvhrXAURgNSqJaUmI4njbZluvDGppiAEd9hMByHMSWo7GaQeDXzq+saBzkQ5E/ma1OWXKTc2amg4tRqDIJV8kFs6auCyk2jqe55LLPnXMzQ166fWEt91++HMQcCY5V2ZYVmSlalSsF2SoUFFGGFI5zrFWd5u4eP7sNOK6aScvDsQ5Bpvh2P0zKBGCkD8GR4o79OXAE/Dqu51brA2g2hyaMrBJEpoqyJH7+2ak3L3jDdWENLNdwh6LRGcEYJdzq7EHasX8b/gQ75WenvW47CJNcfi7Px3+F520uTcRrpMz1HHP5SX3G+md+NDY1bZllhC8u3e3JApIAWhAruBdJhEmCxez0WNRZdefys4f2uhbjBSZoBEdNkooSFEWjZExkOUrgnm8JWzX58+4ezgwOWnhiPZbjmpiUCcc/fYDwu+dgU251qiEmwoSMUoKv0nqOCTj2PXiiC8/cgRsnZGh71pvDESWIUCHb/OyTV2+e84brEBxhuKZo9EcwDLIcB2HMMZ4yNomixUOOWdctW9+y5eP++tDkO9GqPMmX06UOps1wCTKSSTeCop3EYQTCqeORpThbzuTzkctPxxdkcMUWNU2iWTIhHEtBplrTKFtNg8A9l9XLwunOtnemi/5omyvDm7jVt82kheD48fRUtPf2BKcDYSj2RDka40iWYxKOGAwglkpBQoay1f32GuBYgia0YziCn31y6mft0K0eDGC4hmP0R6Jh6L41MKUAjrH1cBmbT+FGXjAzY827bkH8za0nw0Sae939kE9u9VQSLcqfJX+h5FrMTs1rJ83R3UxrIjieKh/EHGeMZ8w8nqr3IcunWUESZ6FbrUaWYwmqpkJTOS12K4oBHGviaaMxbFoCH1Ysd8R4YXTdhEwSjrfBpAXhCNHeg+AAwrAXwbFcZtIgyGhHdQxoSqu/Ljiet9sKkxuqXYLmd6wyE1iQkGm1pdpp09123TAhE8KRdiG07YEHx7UkdwqOGezJD/86NDDOVssykvAiaF0mkylfGn1keSLLLM+4bqKeIL5IwcnLGGPW+Vz+Zbx+Qv8yjTKGUC5C1CRHJstRrUJRJVagcY5hrlpErYqzrV2cWS6GFWsUwBE6rE+f3tuPX7xw564ETgtPAIyy1ZNwXD+T5sJxcHwsGNKBcAlHiDKNcSyHw3nMaCgPPWsER9vv+2K57CUtx6YD73f7cA8PD6E8e+Zdx62O4WhwoyDoaokJUD1Bl1pncq3ZxlYARxO6M4LZ12HoF449BLddfXULT6x+PcflYPRQ5Av8qvnwgO/YjKXiuhMxxcT5rONpJzF5J+ZN8svl24ziwzTOsVKBEMBR44pSctQAjhLB0Q3gWK34Zzv7/DSAI8eIFTDCyc3geFtMmgvHj+9PRO1gn6Xh6LFBsCJ4mKoOP1fB8Tfmkdd3nvrKMywNx2+PjiS/UpFtR9G8SlETdJSYAtVzHal1xmvNjrvtOLCGFvQg5jhwTL3PraFpO64vuatfsmw5qOWll9OAECVkfAfMToxbTCZYqEaCVFjzZVhkonwiEZZ1fKJllGlMTDXN5Wfr3xLAOIdQEm1eKDGpKENRqkzVuKjJBciCTwtPiKxWc053dvmp7pqjOleGpt3V1VHV/PQJ9uMXuJbleFtMyoYjIPwOYB/fQ9RegF2026IrCIIv1ASyHD0WbpdAbOTDIXP8oh/CEb5Iy5Z1u75TrdLrw2uewPuNCa/v4NpwPK88lcsONEsxCrKoFgPL0YXUaru1ZlvcdkxYQ3KqTd8Y6NzQL2APGWxHnxFzXK6vzig9K6KVLLZgDPPa7bjf8hmzPYiTGf+xquaN7Enr9Kryos3GcpLlkseXqW/ZkUAbLN+m8fkMYkmGKJcgVRRHVStcKUpuQdREWQC4jyDm+HlnFwk4QldHuB4cb5lJS8ARIg0AL9dCKHYH4X85GzKgCMeHTxlrylaHcITvVDETjifv3vl4+dJ7DfhBAxibnqoUmAY+ewUI3x5BOq9ALivQLMcoiFwocSYrpgup3XZr503sOK5ojUbQHRNG34BpDGCZJhzXh+tcd7HbBfMbU9H/VbHxgcoPhvK4kVWYhCRN10wODqcysyA6VW6J69I3M5d/2TcTerVo4QmyHIsQCyVIBdlR1QJXiqpbEGhPXAdcEIFa3T/drvmnpiAN6xxD014lHNfLpEw40tYIpQnL8bIhNNjSZOUg5shprCOAIYZQfN8XSqUg3ng1HOHjJZaGo6DQ/jEouNz6H+y92ZIjV3rn+T+L70AgIpnBLFalpKxWSiWRpaWbY5LJWhe8mFcoPcK8RrFep3k798M2m7EetUSptDAllSiJqsqqzGRmxobFt7O0vuPugMMBDwCxsckAzCRWAA7/kAfwn//Ptw4CxsIiY97JGTs8OcWxKlDMyOdYK8c2HMteobUtfRr50Hei5TxH1rlgqQB/vUjc219el2odm211b9i5u5g94WnLS8bMGgXaF87e8rwr3+U9tF94VUBmICAJjjRcKwl06AWI/IBSCEqaXI3R0L46fse+JDgOy3SmZTS7qnK8ayZthuMLiOg92lZXcPTEWLjpg2zI8gGYnDZwBLXisHyAORwvzKlhmibrPNS/8eViW/3i06vDkU/zBEmQBAxh4ZQjDk/ekHLURZ6LNJ8hG0+RZ2MURb2tVo3a2LQbbX71y6y78uZ3/sZdz7fr8Zs+4a7n2/X4G7ZPARnrlOMqdbo3HrfB0GDtYFVfK7PV49o+y7XJPytJQXv71c2GlGMUgYcehPTgJ0MEg0CHYSwij+uQUnkEB0YHePUgKV+pwJvcGBzviElXgCOEmU64NwDLGWMJEndpTCkg42qrJ5bbgeEG5sK4vnwmfYgKjk9AfklzPTiCTCaeLqNCM+/0gh2evMUxdQJPsyIrpiKdlNb5HAstS61gVrfVuyk2117E9T7oKsjVGpp1SmiVHXv7l60To2j1tjeyTWBuve55wNIugpcM65Rl3/M72Fp36LfKvgdQQCbgjXJUYSJl6MU68jwTgnPBYdhoxF8+fE+8zHU+PSzM9EaU4wocb4dJm+EICPX6NdfHx1zTzOoxfRDUcARLKjZiOm3gCMstDB/CiFOYswaOVZeeG4Gj8YpBEPphkSnv9EIenr/FMQ3YylKdFkqklAyeTlEW5HMsr+Fz3PJiWIXnlm+8ocO+bfYdHOlB6rENLxo3sc5/3H1+09/NPa3xa5JCbZ+3/fre/sLn2F5XDiZkpRyjCH4wRJBIhEGiYz9AIKwQFmCjEV4+fA8VHGUw1QVm4Qj5rz7bPVo931bfEZO2hCO4PsZaONIW209gSTpSUIaqYzbCES6xdDef4xP4+vU0DmwSmwQD6DJizJMnp/ro/I04zktd5jOkhRUzt60mOGqUKlsox211Xm+5Xsd56ZEUaD02iZ29/eW7Qd86k8/xsrXc5DLsrZDpqZzp3qOuev7mPPfBfsFLJqXHA68KyESeCpNQht4QkS/h+jnSaNbRSLw8/g5e5BrTQ4kFHIHyu9gtlWcZjrfPpBuBo9tUzwBK4+FxYrpwPHwIN551rhyvCscpYhquZWQFR6uZdzZmh2dv8S7NkMkzkWoFpxyzHOV0Rv3B5TxavQ8i34xU3dYpsO1x3U9FGQb0HPkd2z4+ycHWZR5U/snqsc3xkpesfZ9r3+Ta59/b719/W+c5EhyjSPlxhDCuxrJGQiKgXTcXYIMRXr77HfGrdJbPHiTBZK4cbxmON8GktXA8/ewzfvThh8xFq52EBR/LU2E550M+4k2OY96MSnAex2rAFrcVHAt7YRN9oGnIlsL14JgAnn96Gkj/KBIUkPH5gHMvtEx5Z6fy8PQr/ai0Is+mOnNwzGyWzWQ50yh1tkWFzK5XcX/4u7pCO4pyI5L29peWiAIySzXUbcXXWnuC2jLklmuqnYJrDvC8lfDOksLb9Tj3Nd9j+55X+RwDSCmVPxrIIA516MWIOUNAL1PPsjYch9xMS1nORgcH2a92hOPXwaQeOIIffYgOHCEs5TmOwE2d47iAY/XbJjiWk4mNHg10cQGbHIA6Xt4sHFWeUEyc4Gi08s/OSDmKdwutiyyjrjxIp6nI0kKVaS5L8jneeIXMuhy8jQS8wQO+5fb7ttVSg80zDy5pMNFVmFKXTPUllbe+FjquUZ7rtvV7+631J+UYgAV+C45SR14sIunpUNCYBGFwlPCXD941v8q5mQ5LgmM0Gx3gCnC8eyY1cGTWWvykLvI+/WzxQT5/9UrGjx6x8SnEAQc3BEcKzFCl1XTKKQG8eTg42oll1hpuh6aB48mrV+bho0f6qtvqSjkikD4ioZAUEgM/pzEJ9bb6BI+KAkWWUvkgsmkq0iU4drk0/+VvKdnmqS3b5TmuJCZ351bv7dffyPr1Z7bULo2n5QdRrUOlB9BYyeYhPW/l7+5X3n1/8/oiA2HxkZoA197+YhVX1h+AkCUPI0+EngriEEESyJAlOg4lAkFjErjAINavHn3X/DLXlOeIaSkxE+mr/OLRo2KDz/FrZ9IWcISMH2EOxxkfC8tYPZo1YUU6c+fwo9gFY8jvSOoxjAd6AUeYh49ws3DUiMCUd/qGHZ2c411dUCoPMpPRthpZNlPVtrqUmtmb6QR+g9pvf6pLVkAX0AQmUnJziLWU3xxezYuXVMS04UfKr6mwWX5+UWmz8nxto6089/ZB3ZKYTMAolScK4ccDgiNCFtB0UARC0mhWzYYDvHz0XfFLCsjcHBzvhkn1j4/EHnqUY/eDQFiqq679jQVVyMwIjlWkuoIjbBjjduAokWRpOfQFi+gSOj9lh29PxSPq55hNtVOOk6nN8kwWJUWr8+vnOS6u401Kc9PrLY29BIdtQ0Wbzr/p9W+G/apCput1XNfQseVTdC+317Hv/a3nXeLhGkpXzsrWC/V5u2Folze5OO4+2S/p5iXAgwjCk/CHkQqTWDo4RlLXc6sNGx7wl9/5DfE8zzAdSkzLkpQj8otH2KAcv34mrYcjwPMvvuBDKdmb6IlYVo7r4UjhavYwNgRGB8fvQLOzM0ODtvLygb4J5Qg9i6UvktLwwRyOY0m11d9xFTKFmKmJzqeFSPMcxays8hxXfI7dvdSKFLhlYbe3v7zAnfXn/5HisXRAw5+ee0g3qryuEmapjLDvXtRnZ2+/+jpa6+aUow9GAZkwhB+FOkziSjlGlMrDmQTnGERuW/281N4kKtOZldH0SnD8Gph0CRzBhxLsTQRhxBtuHz7kBwCfjdfAsXHX2KllNnGArOAIQ4O28hIrcPz8E9gPnsF+/GPYTY0nGp/jHI4iGPiGttWkHPXhm9fsPQ2e5ylSNdHZNBOUylOkdZ7jzW2r91S7lGo3dE+Zz5Bx59tCAXbj0CulKPUHW3l+g9Lc2+9df7oShCh56HnCwdHTYZzoiEd+FPkIXFceTcrR0rb6eSkwiabXhePdMmkzHJ9AmDcVHP2LC2HYAW+21TYFR9zadFpYZrEWjqJ8buTjx8aVDwL2anBELH0kpUALjjh88xrvaSDPC4IjsslM5bmS+azOc5zDcVMpSZ+CXPHab6BAn529/Wrh+tazXh9WtgIybTZ2y/rWKcDu8Y2vcg1j59/iZZUye/uLH3tr/UsOFvlg3K98jg6OQxFyX8eRT/2wjccBFkf25Xcei19UcMQsT8ezSA6znbfVTjnWcLwjJm0JR3D7EEtwtOmUe0my1G2G/I0sqeAIOzaRHmqnHB9Ai+cw8jGuB8cAsVRIclMOA8EiSz7HMTt8+4a9pxXP81Kn+URklNLjttUUkMm3yHPcWfFsouVt79O/3fZpOILqTIKcK8huC7F1ynLtnrzZF7ai3NKDapayaU6iSybhreF3/b69fVdOSNvqMAQPPOXyHOMkDGh+DPfLOAwQeExIy8CSkL9491H5vOB2Ikt/ytLx7EIOs2hXn+MKHG+fSRXcLAm+VkCm54OYX44lRox7gwGzVF/NwGgsBOKY5nlUwRhMLUsSgzFMpLECx5Nnzyzef99sqxw/+vRTcfz0qXeUPPYxhyOGgUBk62312xPxni51kZVIi7FIyxnymUVepEppK7UqbiZaLblauhnQ9+9+KB2nfjcHfFPO+LZsvi/2uYDCmjZvlpWM2Z4muK1FpDZ6VMo6f4ruVZvuJ3TwhuP29hfrT+CTUnHfh/R8eNGAhXGA0PNFHAQIBYPQxrDhEX/x7lEbjphdSGTZ22flB++/r3pnyPxvwKTL4fgU7A1oW11Rei0c6wFbCzhWuY6+Heg2HKefvbAPPnxPn/yHnxHvYwc4Qhw/hZcMzgLfP4yYygdKBgMvVzH5HC/GcnT6Bt/VJYoZMNMTnU2mIisU8ukk0wRHz1YQW30sXzHKXR2LR1f/qc4Vtnh9eb+86pncbr++t1+tE+elqnpg9vkEu99kFUZuErib/pnLweXlqHJfxupaH+eK73Fvn5Q9NZ6gJPAwUP7wQAaBJJ+jiEKJUHIjQV63BC8fPcQviggTqTFlJ9eE4x0yqR+OAB+iC0dIjKqOPHPlOJ8+OCN0WNjYkIL0LTpwhH3wIRZwBOwHP9kckPno0y4cMVASczi6bfVX7Lta8zzXSFWms+lUZLki5QhlKFq9a56jrhVirQz7wjC3Fp655/Z1kwROSt1Iu6kRBClqZRY3wO7fDcr6nu9tqru337/+XDEhJPd9JcNA+/Ew8AOJSEaIA5SRkEKAA9HAvnx3ZH6hht4Y03SWyWhqaa78VZTjHTNpOzi65sykHJfhaNMZpy1186jgiAUch9WYhBzQ08/WwPE/jv+Y3nPJmIQFHBFwNYs9P04cHDWccqRo9elbgqMtUi1m5UWRz5Sf5jNVFDOpNLBmNOt1sda8f1VbLmuK7RRjtZ/b5fHttk/b6iVlV2+xq13v4ruTkFhqRFFXIrnj2i3IaneIO57eX4PUlRm2f731/3bHLY1jqBo67+2311+C8Ndsq4cDHfqBcHAMmQmFhLAGLErUy0eP2M9V2ILjEFn2DOUH72O3bXUbjnfApCvB0bIqGGNndG8AyjRlXhRZgqM3ndpZlBinHGs4nrx+bfDzY7OiHK8BR2jEVit/fM4OL07Zd3VJcMRMpSKjcQl5rooilUqrdXDcBUSbj7WmUpqM923fN5/jOkd82+yzVp7jUsVKj+uw6yqUWjFVq/51rsSV4zvnbd+q9vaX3UzNeliuGCWB+wwyjKVHeY5BLEKCo8cQctpWM7BBbF88eiR+XvBiwkt/mklM7S3A8TaYtBscx6B/sEvlAZtxiZgRGBFH8CxqOMLOIkq7HpvAGJ2MRvrkNQwUzIP3OtvqneGIWCAfKI8PmGFOOY4n7PDiLfsebatnmU41wdFglk1USXA0dKFddcBWl1jz0GYjMXZVfNdBIF3BHcUrv532Of1aatfCEuTaNeplay28ZQVJihD16933txUlHVfWxzXBNQfTS94//wbvuX1S9nM4JvCjAIEf6sgbIPaECDhKj3OBiFJ53hX/XnBMeImbh+MtMmkFjvj0U/7eRx+xfJ2EXfog4BJgZT1gaw5HCzuzDkcmMKTaTk2mjvQcjnUvx8/J53hFOBaeHgrjuyRwguP5a/a41Mhnms8wAfkbqwqZCe2ubhCO12Tb/u3brUA7Wt3eXpMibENs3dn60hkvS3NszmPXnH9vv6UcW+tTasVEILnPlYwi6YUhwiDWkfRN7Puez7nxOKNttX1x9I75ecG9cXRFOH5dTNoKjpOTE5FPJiL0jgR4lcpDCrINRyBFObU2iWIzS+BSeSo4wmSUmNEox+vA0UcsNAaFmQ0F9yNr4I/H7PDiNfsetSxLCz5DIdKs0Fk+E0WaovI57hqQ2XgNdxTcSknzbSu6b7d9Uo4EqvnXQAq5Vs1tOFqmGGtlIlB6Sfera3/39Hr37+a8SwqTztNW6Xv7K+tPosj5HKnxRAQvHCD0Ax17HiJPspB7kNyAxUP+q6N3ygqOAtPx2Xgm3xumu/gc18HxLpi0Bo7g732EJeU4OYHIJ+ciPKLevtSRpw+OkU0irIfjMcwDQJ9cA46Zj3jo4IghMypmHF4Nx8cFRatpW61FmuU6K3KRzki4BQAAIABJREFUpxkqn+MNwXHpgm1dhZvUzEbWbnnAfbHPLN3TrnGDIbC2fI5bLu/NHXYP7JNypGa3vlf5HL0YlOcYSaFjT5pQeFXLsiSxLw4PzM8LZsdJ5E/GajyTw13h+PUwaQc4QoRHEKQYKfnb+R7TlJO/sQnIUApPYu8AjgJDplVMynE6ZqPTE/aY8hypK4+x3izLkRWpKmaUykOqte9C2dWH1z2+uZwa39+m16/rw9x0/k2vf0PsC4bS5Sq21WP3s7e/05WWZbXq9CQa3+PSb6DlU1wh4tJ5l5P+l4695/ZLTy58jgF8b4jAwTHSscdYyKE9gmMY2xeHR+bfVZlPhqPBeKwwk0PsqBz74Hi7TLoSHJFOuevpmMTu/RvheOS6rNycchQYolAJ+RynlAR+hsc6N0WWWaccc4JjgXw2rn2OPcqxt9S5k2d4c5Ji+Ux7+9V6dBOrXECm2yD4tr6E/XmvtALkSQoom0dChATHGGEkEXkJwdGEnFOKOEcY4sXhEf5dlZNbheNtMOlSOKrnz7l+/JhX2+oFpYvsjfDwkHkJqmg1OR3q8sEl5TiEZqcw2RH05NUr++uPHqmdt9WAOAa85AzBVKfJ0PJB6fEht1W0ejJmh6dv2K9pizzP+UwXOs1nIstTVZRlncrDl8sHVZ9i7CkxWxWGy3mGi9eXT0D5cu7R2SHu7fdE3eunXUCm9Wi7E5Z8jhqMtfIR+45rTiUYmG7dKJ2Pcq0vs+ObbCnYvf0qXY3WzvkcPUgvghd4OiLlyELjUnmEL6jvKwtD++LoWHypFCbDCNdWjnfJpCvCEcKLwWh7XTYVMhT9oPqYyJqptcZPEh1QMAQwGQiOsL/+CFeHIxBM36bJ0I8GpSmHXLAYWnqTsa7gqFHkJZ9pTWk8yIsceWqhdL7Ic+xTaqLOU9SdPMVtvV59eYbbVtbs7Vfb12b9uYWaB1fcItYreZ3UpW6AZcXF0HpiJdFxb7+6ybcWxigm/AqOMpKeFyCM/da2mrm0PxYE9sWD74h/W4EjUH7wH1/sNrXV+HSxre6H480zaRWOAH8PVUBGPQfXj7FGOa77IDS3OrVxFJmphbF2YgIz0OEB9E3A0Ts/D0s1ioc+HByp/w9rttUn+DVdmiLLbWqsIDhmeYGiVFAm6y8fXK2V3oTD61bWLF+Re/vrlTb5HJsUsaUVq29iroKlvRsw5AFf7A6kAVt6vT7JyuAto5hak7gve57H3n5dKSShJCB4BUcRwI8iBBE1hvF1LAQLuYSAAQsqn+OXqrST0SP/YjyufY67wPFrYtJ2cAREDohwXAVkiqyCI7KU05a6eVCFTGxRwxEG52Mz+t5Q3TQc86I8IOVIcJxM2OHbE/ZrtqS51XamAde2LC90UZaidAGZG4pWb+2cuSOfZe/n+YbbN0Xtc3SlLAsXxiKjZtWtMcdsSyFKSeWC9aPv+Y7XY8njsrffv/4UqoYSBMcgZr7vI4giEVE/R6+Co6TywYDyHB+af1OpnQxGZjwrw6kLyFwXjnfApJ3gyCYTyRjjSBNewRFcIa3uJnX54DIcYUbfgzp588YY/dBcdVs9fPHCH8bvBSWl8igMCI7G4Vn5swkbnZ2wXzc5iqK0zueYpdSVR+SkHHV2A6k8vZGT1m1hiVSbFOjWmF32Wfb4RFdDGt9s+5zqW1oBGaEV02syDrplgHRcd2Xb7+ueR7R8lu2lped1y5e5t7+6/pRNIAJwjyvPi6RHyjGkPEfBYu4jBIPkAiDlODqwXxomx4Mou3E43iaTdoQjJKMNTArOWMplHDFFARlEkFFVPrgejjBGY3c4fvwx/+jHP+YNHDOdJrEXJbbAgRHUeEL503N2eHbKft1q5AX5HEukZaqzQos82+c57kjhyw+/qzxLXkItttWtRhOkBFsUW9cIogmAtYNepCAbCblaK718/tXj9vabX4VT4s1yMOrKA+6Rz9FnfjRE4PsiCgUcHC1XntAcwdC+GB3af6vgiPGsxI0qRza5PSZthONF8FrY42NO2+rmg6iTmfDimEnCU9pUJaRAFBk5ndkyirWlEsLzRjneLBxLiwNOAxq08rNzdnh6Yn/DtSyjJHDwWT4TqdtWK6tMTuWD2/Vz3Jx43CfdNknLm+rOcz/sC381z/HSRhJrGk24C9p186nX7LK8xL57QkuJ7u23WsKRt8OVD4J7UkqXyuPr0E9EKJlJ/JAHth6TEIT2xeED8a+qLCYHI//iJuB4V0xaC0c8c7NhON6CzwZvBHtX8EIIEfIDQcpRsZnwWMyofFC1otU0mjUykaHaakmDUztwHKRfajx5Yijncava6o8t/+jH4MMX8IcxAqcckyjJ83IkDHNJ4GnKRmen4tfJ51jmOi21mKkUWaHhKmSMvkJtde14x9fUZadx/N9X+xStdmDra4/ThdmSb7COqi6cjYujWwpyxQuy7r6zt79Ypm7FKnczqzkPIMIYvid06A+oQsYkHhMhJCTnHEGoXxweXh+OXweTLodjAD67gGDvghcCIuSo4QhBaTxLcKTa6jSyUYgKjjR7uA3HhzCDL6HxBOZXn31mTz/80GxsPLECRySBVwyUZQcOjgx+OmGj87fsCTTyPLWptpilKdIqWi0q5bgSkLlq1HnT+za9fl0f5abzb3r9m2HfJYG3wNSkStGnb7eFo+dZe1ewwdXqjm/d8ChgwDo5sGSj+/ze/sKX26xfacAEBWQCKQK/SgL3Ix15Hos9AQdH6gTu+Xj58BH+Rc0wORjh4kJNZkjTFMfHxdapPHSiRrDdIZOuBUdQ+WArWu2UI5UPUirPZGI8NdBVQAbGLMER9vRDXAOO/oEwiC1TDo6nJ+z7tkCuSj4rtK6UI5UTUrSalGMDx2ab1B2bwJY7f+/sqNs2Ory3X//eOm6OzvpzoxQBanWoy2WdFlvf2lol2fU2dr/lPunY975LzncP7Kva5+jgKHTgRSKgxhMyELHwEQhGvkDDpGdfvvPA/osu5TgJsvFUqultwvEmmXRNONIWu45Wh5Ft4Hg+m1kZGu3ZgR4Nl+H4Vn1h8/OnZlc4hvoi1PFBXClH/4AZlTAmvTTVo9PX7PsUkClTpEbZWa5EWmS6SHPhaqubxhOicz0sT44Hmtf7n99Wma3H697+8rr0rbP1UFZw7H5hrWh0twb6sr+b02zbEKLvuHY0/L7bR9UJnEklw0j7MpChmz7osVhIhJycIgLwPfvy6J3iX3UpxkPfXNw+HG+OSTvDUaVTwZKEU46jF0VMZXUL+ZAmD1bK8XwGK0NobwA9wk3DEYOiKEeCKmQ4/HTMRmdn4oktTV4UOlOKT6kbeO6mEVbKcVNXnk1QXLlGO090odc0TFiXfrIOm3v71ao0sOQapbWK5sIvVV5X0dINzsE14w2qs29SjlUByPL59/bb69Zef8XAfCofDKSQnvalhyiKRcg9Q8ox5BySGcNlyF4cPLD/wmDGHjMXWoZTpEhxjBvbVt8Wk3aD4wGEmlZ+R8px9CJUcAwBZClsGBlvltqpjcwSHAFjUPkcr6McC2p1MYwSgiMHS4wHr5ixhXIskJaFnWkl0jyrK2SofPDGk8B7Ew5r9t1wnuEKUb/d9g2nUYIL5bjUhHY1F2e+Oq6/YzcfspUvPs9XbALYrJW/1zqvaD9PPsh2E9y9/epWU8ORmvNIX/tUPhgliJgwCcVuhQ9hAeb7/MXBA/wLQzH2mH+hJW4WjrfIpDkcP/7JT9jn77/PPvjRj9g65+dkNpYH3xvyFTg20eosBbUsI+XYwNHasRlqrWaHh3oBR9j8HFfYViMs4jSJB1FSZBhxqxKl4ZcZG529ZU9UicIoPisznZYFMuoMXuYUrbaaMUkR8t0fHQbRxbfuJPOGqzUTu/mAV+73eE/tG0PbalKOy4/5gKwN32RXYW79PjeAq3ms3oC2Pk9H4W79vm+SfQ5G5YNeIIUgn6Ovw/hAhIyzxPMRGkvTJsC80L4YPRBfMGDsMewEx6+bSS04gn3+PtgHP8IyHD0IJsAnM8iD76GCY1InglP5YBhB5RmTNrSlTa21kaEcR1KO9N+hhpod4sbgGPpiMCvYKLA60Ux6WcZGF2/sf6I8R1NiRsqxLJGVBVyFjCnsPs+xt3Hsrj7Uu8mztBylGxrfM1Cru0tuNequyNY0Q6KUrDo63apCBNVOz5+/BLR7+6u1V/Plomg1wVFqGUTCZ752PkcrCI7GVchIC+ZH9sXwgffPBEdeZGMFNZV8MNtmW/3xT75eJq2HI4XO6/+bUfI3wCdjyINhF47k/Myq8sEgtGUKayNqOgEjTQVH7/RcTwdaBw8e6AGg335xNeVYJAhDhST0iwqOoobjpIaj5bmmbXVqZ7as8hzzEmWhhZa6vqi3zVu86TzHXc+36/GbNPGu59v1+Bu2b0k5WkXluS0dtwBzF1pdZVa9rzre/f/6e3cNKVa6RxJL++zs7S90dGf9GRinxhM0oDqC70kdRaGJeChoVEII8jkqw0XEfjV6YL8As2N+MRubQEwaOH5CXw9j63d11rIlOH4NTLpZOALW4rbhiMHMlKPAeoky2s9SjMZn7PuqNIUpeFpmdqYKkRIcldJKF2KNz3FXxdS31bqqb3Fvv7thbv/taqtb0WrZinjRAIXm4XyDrbSsvuOab4ncIu3j6f3zvMfWebvH7e0v1ny+/gRHKOH5TMhI+KFA6Cc6Yh5LKM/R8GpbTUngyZH+gjNxwQszNjaYSA6nHO8Ejtdg0qVwnLx6JfijR7w4OxOlOBQRmwiVceE/jJmrr6bGE7XjXAZVtJrgWE5nVhirZZToSjmOdPAAC+X4FOYUu+U5NsqR+xgog1FgMYfj5I39TW2Qm5LP8tLOTIqsNKQcRalb0WprqL0kwCz5ihcPy+rneef55vjO812h1Jy3eZ71HL+3v93681o50nq2e2wKB8xt8xGXIye6lezd9M9cfI8Sfa/v7S9yUtvrT9d92+cY+ghliIjyHD1pIjDjksCD0L5Mjsp/5iy84EV+bTjeJZM2wBGCPwIvziBKgTkcWcI4SylaHTGVN9HqDDYITZmm1prIiAiattbeKfR0gOvBEfCLi2pbDRRDI/0DYZFYo4M0xcHshFVwzPks15iZDFlZIs9cQOYmW5b1ZeZt2lfe1Ov3w76bIbMuz7FRkLTtbyfy0/PtpaHAWTfR390VN7xvLkk752s/T/97b59RCZODYwwhPfiBRCQ9HUmPJdR4glvj0VKFsXyRHKl/5kxe8AJjY3Et5Th5dXdM2gjH3DsRgj/gFRwhVFYFZCo4up9bdQ5q0OYCMjCU0iPsDcDRWv5RNT/bwdHT6UBYMdDgI4IjOPPziR5NLvhvFiXPmebTLEfqfI5l5XO8WThuCblacWKD4tzybLsf9g23L1rKcV5f7vygtS+x8R03vtGlPXmr+qatNNv+5hUFekkR9ZKtvX2n3Lm0LpUHWvBYCMHhS1nEccBCJpCIUAScw2ua3YaH4mc+w43B8a6YtAUcQf/4BRzr+mqCI+OZm6CzDMfI2BD9cARsji231dbyDz/7THz3ww89gqPW6SAhOHr+SBiVwDA/TzG6OGW/WZSmEIZPs5lNrRapg6OLVvcrx6snX3cVXJdfK2nhawG3t18tS3c1OVMlmFxOm5of1E5IlMtvXrfs7ZN3FOby3OtFQqR7vhu829uvf8N1oIuBeYIJ33d88G1ASeAISTm62mru7mSufDAe2Z8FsTzn05tRjrl3N0zaGo6zdCwPhkOuGjgCnOXgLgG8frhotVOOFRzNeGKSYqCWttVXgOM7jx/7WsUhi2US5WJofD6SQsbK6EBPcHB+xp5SXqMAn6ZTnVmXDI5caahCQ0smliJiGzentfLSHd+kqH2TXdLpjkIUjXJrDuy8vre/vIJdplmjSmtdxkSn0cRyo4jVRhJVHipFn9s+xL7jVs+/msd6WaOK+2yfmhFzq4UXQAYERx9hGIIaTyTSo36OrkKGeQF70cAxO8knoR+MrxOQoW11A8fbZtICjgD7HGAfVEndLpVn6YMIyANqV3YZHO0iWm2mUyMiSkYcqKlu+RyvBcdhEtliaGhbDSSaMV9N9Why7v9mWZgCFtOMOvNopLpAnhWVz1F2ILe4NDdiqsPBPsW4rAFXz9qnJPf212HSAoWD404tw+hMtfqrB0EtdfBuCc6lzmWXVLzs7be+nU4cbBGQgfShA56IIBJlzCMR07hqDhpIahiVD8aJ/Vk4lGcER30UjMPsTRo8fJhvjFZ/zUy6Ehx1lroSQo9FVelgoxxX4JjoROOacIR45/GrWjmuwlGnOBifi6elMoVWmJUzm6qygqO2onTKUdcQ2tYHuEH57ewE3NUHeM/tt5Vj71q3ygRXxxqA6TVNbrvHNTXwO3+f9Ib7bp9myFgIKh+kbTVPqBO4iaWHKpXHGo/6OcqYv4iH6mdM2nNbmLGObweOt8GkneBo0qkIOROMx5zgqCMwYqNGxgRCm2UZrLHGWBhuIk0R65uBI3ytELIYSVAUB/D8AyFUokoWlAWGkwv2W1X5IKZlblOVCQdH2laXTjkuz61e9XJt5yPsfd9cOG6rBLc9bmUD33miNvwts2+4KskZMv/H1grSuQy7Lsc1I1er41YbTQhyUbqnq9cEY0yLOn1rqbZasyWXyt5+tV6t9Xdzq31wybQnpfB4iDD0TcwDHntMRYZallkwL5Iv4nfUPzEQHL2xjjEOM6TBQ9yIcrxNJl0JjqagxM+IERw9ZC6dJwhCM4djVMPRQicDqCngZljr58+NevzY7BaQIeUIX8cImargSD5HXuqB5dIrShxMTtlvaWUKo+1U5zwtMuq8izy3y1155nmGW+Yz9h3fRVY3z7F5vZvvuLe/XT4pt6q0hjmf4xxedHFqTZ3n3YM1UKufXz6uOyBLLyDYOU/lo1y103yHe/uL3N/2+kMKl8ojJTzqysMDEYTCxNZDEggTWekuMuZ7eJm8Y/6RefbcTm8PjrfBpK3gqCbnQh+NREXpRJiCbrqZU46S5QwIUMHRdVE2Jkor5Wih1cCNuL1ROBY+pfLoAWfSKzKCo/1trWRugGkx0anWooJjUQdkervy7Krgdj1+04Zt1/Ptevw30z43i2g1zUtoHrK3BEZAtUpn3HE1RZf0o2tJtny+hcDs2Jm/f29/3forrV0SuAyEpDxH5ukwpDaCEVwSOGdcGg74Pl4mh/wfmYfz2Wk+8Q+Di5tQjnfBpMvhSLNhTyCUOBeaExyrUQmGgjIcXFOo3tVWh7ABDOU6VnAk5QgHx5m50Bda62OldJAfa/UYV1eOEklwgYPCVyNrMeCG+QTHjLbVBQrL+aSYmkxpm7JSUCrPPs9xEx9v4/VdfaxdZwGrAjJWryq+tmJs3kbH9Sm9Tc8vmxbU+39ePbW337/+TUCGlKOQ2nfbasZi+NTPkYdcw7N0gYb8RXJg/pFH8uxG4HiHTOqF4/nz50I8fsyX4MghQgZhKBF8DscqCVwFmRVZaNtwTC00v2E44qIYMd8/sEINuGa+JuV4Yn/bdeVRepaXYsY0T02OPNNVtHrez3FTemIXFL2tuzedqOMLnF+hO5LontrnBEdTpfK4h8u9XrfmncTFtrJs3tt+n1OUrfO0FOaSP3np+b39deuvXeMJwaWnPenD+Rw9ZhIReREXJqIxCbStFlK/jA/ZP3jSnqelGfvHwUX45mo+x7tm0mY4AkKdQ2TpRIrhgPfDEVYAlsoHeRhpM52ZMowVKcgLDT386o0ZJQ/VdZUjwRE+H0HIhGtdwfGc/bYuUBiDqRuVAJuaXOQq16o0q0ngfbXPcyXSU1O9kr9Yv2FTnmO3Gnhvf7mGvXvL4FaXllEzqM6DFGLL19h7q6HJhUsdwbd934bj9vbn6+/gSI3fOLwggmc9gmNJcIwJjrDGTR8UPl7GB/wfPFneHBzviEmXwBFCPIabV90LxxBM5mA6z1kZWKpmtWWaWRYEmhurbxOOzba6LDGcntjfMQq5BZ+WJZ+pUqea4Ki0MhT37EvhaVJ86qtMiVqq1eJinmZXP606xy+EzXKe40rPnea8qxf70jN7+9U6CkPKUXNy+s8fa5VjoyzXKMLuWncV41xZtg7sKtS9/d71n2+rAyF9CZ+HOhTMJNwXsaCWZTS3mmoIPbwMDsw/+LE8SxXGQkzHWZrMzh4i/3xTy7JOnuP587tlUi8cP38O8RttOApIQXeKLJUmhyjI40rR6py5c6zCMdJlCKXPxyaNh2r4FcwowQ0oR4zQ+Bw588sUB9Mz+4MKjnJapEiV0anJCI4oDfk+a6jtGj2e74Z7KmD6FOOudvqOv7/2yX8MjpYv8VLF2FF0FFVtR5mbdex7vtfO3v5CvXcUu6utJh4w7QlP+4j9gLbV3Ecs/Cog4wqcBF7Gh+bZTcDxrpm0EY4Xp6dS8COeCUjrotVcrMIxQBlktXKEpSZutJ0uH0LpX94MHAszjuThMMYFRpZnh7StZtYEeSGG2QWr4Gj4tCiQknIkOJbkczRr8hy7CrCr7Ppev+r7NihGGuO29Ljn9q1BAVKOc2neoyDX+RDX+Rrr54QU0C0F6f5ec3z3uF4Fe4/tuzxHT3BJokkUAY9EIISIuWcSpxypKw8lgdO2+sg8k8ye58y7uI5ybOB4V0y6FI7HwWuhpBRtOBqeCMshnIpkYIZyHAHkyOH7gaH6ahZA8xC6jAmOMGmMaytHgiOPvIRN+AgBH1noAefSzwsMp2fsd5hBrgoz04q21TbVJXJrRWnLls+xL4rarUhZcYJ1fGSbjm/e393O7+1Xv7e+danXzQqRw4J3O5FxrZlZ43PsPr/p7+braaLcZGfdeff2l8se2uvqgi0cXNR5jkwipImgDRxd5w4O5vl4GR2YZ9YW59qKCy8OLrIUV9pWExzvkklbwPHYdeWplGOVxtOFIxwdV+GYmolm5wN9o3As+AgeHymwAWfwVYpheiZ+xxIclZnpAjOleaoVwbJHOc7ht2Pe4Cbl2IXqxr/39peXqFKIFK1WZUs5NsqvpbB167sQQuCyv+fb6ise137/3NVx3+0b7cYkMF/IwNO+g6OkbTWLmcdDzqifI81RwMvBjcPxbpi0Fo5vv/hCvAyf8uMAQtHs7jYcB27kIt3bOS9yTgngFRwB/wCmpArCWWqYXwVk2DmuB0dAlK/gPzCI+FGWsIsFHJlBoAoMZxfiBwRHnRtSjE45MkUty4TzOTblg41SWJcrRz/6Ta9vZF2jfGpfVdfOpvNvev2+2AcTuWWrypGyBdp+3rYzYm2iDyn1WqUudS5rPe/WtLUT6J6/+769/XoXRdFqD5wx7fkMPh8iEHCNbmMmEHEGyatjXvoPzOeitOfamgsONS5ZMt01IPN1MGkFjkeffcaD0YivhSPlOJJybMMxCEDRaoHA8iCz1obGmNSwOlq9BMcfgAoSdksCb8GxOMqS6CIcwcOoVHrIOXyCY3puf9eAZzrDTGs+UzlSZmvlqKG10pb8SDf36FyKq+HpmzO19kzfbvvC6ILguPinCyo+dX8uwWrxtHuNFGT30VWUzXnqN8zPOK+lNppV51mytLffWf/K5wjOhJA+14GNEHiMJV7IY8NMJGTVsgwefxk95H/PZ7MLI+NzjunOcPy6mNQDxw/5yxBz5ainF8IcHgjLIMo8lZYz4Ych43nuqmTcDzOv4KjI5+hbfaNwBPwHY0QF1W2+LQ+Zz6pttVdtq6dj+7ta8ZyTz9Hwmc5tSmMTVFk1u2VWE89b19rleXbz6GXXv9WOXravws5xFBXtXshLF+2mXL3Gzj21L7pJ4M3idRVf3y2I+m72tqm7xn1rb3+uxF0qj4MjpM9RwdGYxAuQGEoC97iwCoyHeBkOzeeisOcm8c55Ph2Xx8n0DNun8lRwvHsmrYEjeDDCMhzFhShSLsVgwJfhSCWEVW01udB5AKsoz9EPNaNodQjFLCWBn+kH6lDL8oUu8tz4T57orQZsUSdwUo4tOPKL8tD3WaUcmfTLAoP83L5PMITi07LQqSp5CvI5aiofFJqRcmz7q+bXx+U+v9UClfWVMaIGL42rWfdoXp/7q/b26xVYv/7caOrNydv3s1VJ2HqGvltSNk2gZ96UuKUAG1PuS+0qw9a5OoKxF6XrJOw9sk/TIWlbzYWQHtcBCI6cxV5gEsMQUfEM9XPk0r4MR+zvCY7KMxe5DS78Y+wIx6+HSVvCEaJIJ9IKLiyPXUDGD8F4XtVXux9QnsMLAlMpR2yE488+/dR+9NFH5mPAgrGlaYDzH2QLjt4YUeAhIThyn42sYkPL4OvSDLMT8bsaJucFnxVap7rwZqBtdapdKg+sq96B6URJedPxu3MFzDlaXwB977up51cQsZxT3vu5v7X2pchhwKmL0aZqIvrqusfRNMnuhMl1xzVfe5+dvf3+9Sfl6HmgjD1PSFDqdyC0SWRgksrnyCU5RpjUr6J32N+JmT2feebC2uCCi5PZ25OT/IunT8tL51bXSeBHn62D4+0zqR+OT8GPX1cBGS3og0BaMZvDUbCMewjZJjiq8dik0VA9OISWL6CLHMZ/An0VOHo6G0iIEVPsEGADY3RgSjHILuz7xrpsollp7KxRjroOyEDBLrujNkWJ+16/6vtWPGFdHHf+vuf2qULGtqLVfZEXITCvmydItsZYtOHYPE8Kvu2DrPJLe2q225kJe/uL32ezXBRskYIzoandre+FOgQ3ieeLmDEazVoFZJiwr6Jj9reilOcz5NeD4x0zaXs4ckibVWk8VSpPxnnOOCggU+RM2MAKysM2gXHKMYROJzQgwej1cIT96CPspBwrOIYjrdShgB5aJn1TYpCe6g8seG4KzPMc3ba6EDTikyptjft9NxdP1x/VMxtmoWA7PspNx88lSc/79vaXdwrd9dQidxUyK+6HLYNqXZ+j8xW2Gx5veZ69/Y77o7VuTbQa2gNFXARZAAAgAElEQVSVD3osFJLHQqqEC0RCcmmNYdxz2+q/M6U9V9I7txYXXGD29gT5F0+xm3LswvGWmXR1OIbgLiBTgFEqD8GR8q79IDA6pWg1dKmNol7gaYQ1yvG6cKy21RUc7Q8teLaAI+Y+RwfHFeW46v2rnultg9Pjetr1Iruuguy+/1tqn6LVS3Bc/nc7BdiNJrd6dgpGYxJWFWH3fUu6sblhMc0u8UjWv5K9fcW0azzBBc0zE74XmBCSxx43Do7gxqN+joLxV9GR+ds7geMNM+lSOOI1xNExhL6gWupKOSqeSopReS5aDa5ds9sGjrB+gBYcI+pV6uCYmBOT5A/UYlt9FThiIIGRhjoUlg1NqQNVskFxwT6wvIZjwWfGIGU5eUHdcPgFHJt8tq5yaxjTV/nSd3yft35TJcze/rJyXF1/qm6qleMiksIZJUGsZhosw2wBRReEq/9sw7KC5OLRuFzIx7h6/r39Rji0159SecirSHmO5HPkkoUs4DGXKhGc02hWj8MwJvjLaHRzcLxLJq2F4y9G4IOn4Nt/kICSH22JCo7TFAaUfE1YiqBTXcGRPy+1OHikp7Nn5vVX75tdt9Vilg39IDwos+wBk2xgjfRtiUExYR9QErhRfEpDtoyCSwJ3qTwGpF87Psc+qm37/PqodOty2/ZEVzzuW28/p34hzeK04df2JbqLtRVkawJs7UVtXifwNedpgjzcUDCxWss5FAUoyrCkPPf2F57ZZv0dHLkWlOfIpPalL0IhTMK5GTCqrSafI+fUPPhleGj+zhbyTCU4t9nVttVfB5MuhyMgjgCR/XIsS49qJZlwmU2cCc4okh+Qd6fu3JHD2MAYpxxrOIZQBMkKjjD8+asbhKM3sDQvt8CgOLc/NATHkk9hMFOqTuUptHLKkeLVbXfJhimE81kvHZXSdvi3L8D5BVvb6Jsp07xnUwR2b18XbeW4oORCCa5zjCy+Yk2Bwrk6badSdTN1FopyOeFqcZxe/HRaSvS+26dAbFMhAwHfI5+jz2MONWABD8GMpPJBIfGVHJm/4YU914l3dm043iGTrgDHWNC/mbOc8wIuINM8yiy37CDQm+EI8/orXE05DsKDckzKsQXHsfihMSY3eZUEbhWfVQGZGo6uqGfdY1P0eZOPsNlwVJdlX57jqi9z3aXlnBMblOTV8iy/gfZzGhh/6WK0E+TXjFNovpm55lk6fqEYryjdqRxn8Zu6h/a1JI1Ub6t94TNuIh7xSFo1oNpqNLXVEl95I/PT24Xj7TDpUjjmb97I7zx8yJeVY/NBqtpqU+c58iCwBEcT0KCEULtt9YpyhBYH0NPZ1eDIT/MDHPADrtgRAyPlGFgtkvzU/J4lOBZmZhWbqUKkzPBMWZRGacPqbfWuCTLz47fs5ziv0e07vnMldtIZ56+uPH/P7IMh50Zw156/eXRLNNtr2WlSS1u+xfa79a13xx8053DvX4PJvf3e9Xf9HCnPkVoSSzg4sgCxpG21ROi68lAVjcArLyn/hht+Vkpzbqf6Qg7j6a7R6mZbfZdMWg/HD8HlixeCeZ6o4AhZeqAWRE41VsoRvCxy7hEcAxLQgS0tzdfKjJ7BCD9UBMeJazbbbKuvD8fygB/4OXvABRsYqwOlRaKm7IdGI0dmZtramclFisLm2sHReYXNUp5jb7/E6rfQVYDz6pqVTuA1xur/LOXQOR24/Pr8l7a3v0yiTgd2gmM7Wt0eoNVu5kHPd/9uTrzd830KcnXQVt95t7OzGAC2fPw3174CmGc1XVhS+PC5g6OJJeB8jpa6eLkZMnglDvBTv7AVHKEvJK/h+NefKPzZn63fDlnLPm4lgf/ia2DSdnAcQ5aUBM4hdJFKiCpaXTJUcKQ2UzQ/huBIPscsMzBWC23URFvNC60OByPNn18djuLlJJbFYFgelC04IlAaSTmxv0cBGTtFqoGpVTallHDNvcIpR1PBcdPc6L4t1qZO3bu+b9fz7Xr8/ELecT73rv+OTVvSXTuiz89HcCTl6CIhrWunfYdbdR4uPs669y3dkNbctPpe39tvrWvL02HALNOc0fRBAZ+DRTZBRHAUAUJTN7sVPl6JgfkpZva8DM2Zd1NwvAMmrcIR4L8AKUcI5kF85yF4Rh+EUnlSqpapU3mwDEdKnNF+HZDpg2MJLR5BT5/tvq0Wk0ksTwiOOOC5csrRWtpWI9EX9vc1eGZTk2rDp9agpRxFVT641oO17Ua7/n301vk1v5/r+jD7Ntr3zD7d6Ja68tT//naqVRv8nYYQ3dZmzbez8vyW55vTYcvj74V9IUDfkUvlIeUIFrGYRxxmwGjAlhuTQLXVeCUP8dcEx0Jk5743PJcc1bZ6W+X4NTFpIxyDh+BqDBkSHBmEzis4UnWMCQNGypEqZJSFlXM4VtFq2k5PNDSPoA7pv204vg/zEbavkHFwnA2GBStHgntHBnoomItWJ+XY/oFRJoeSU63MjLlotc0LjdJSpiWvaqvnj75odV+e44bodrsf4CY15V7f218fIGvWX4jMKipaXe5J1m1q2wojL5a924R2ft9azn/sCs/FYR2leklT23ttn4FZRwIhhdABIzgmPOLWDOCZkDPuuURVab4SB/hrVtqzwthz3/NbcITCn1FiwZpHe1vdgeNdMWknOKqMwBhVPsc856oelUD/NOUHlue5xTDQOrs9OOZ8dihZfFjBUfhW66Q8s39AqTzUlYfyHB0cC+QaKGn6oME+z3EraG990C3nWbpt9aJ8cFsltm507lJz2m6zXKbZvI9j698uOs/v7S83GXZL5YJeWliPZshQQIY5nyMXPKHaakZdeahVOFcVHK08K1Cc+/Zm4XibTNoJjuMslVEDR4ArilZT1AoBlI9VOAZQEwvNqaTl2soRMUWry0iPGjhyg8AAsToxf2jBMhg51aWhBPDUKJ7ZctGV57LrftuO3RYLx3r7fKyTKtQOIGzDm7395VQrSy3LmvLBJSG3XLbXLfNb7A7WjE1YW07YcmmKVgCtHZTb25//hJ1yb9bRNf3Q1GdBconAVcj4JuZMJrStpj6PxtCcGfOVPMRf3RYcb5NJO8IRMqqj1SVtDhm4Kap+jryGo/FhrA1cKo+4TThqfWAphUCLWJ2ZP6RUHqccNZ8ZZVwqj6W51YY298tJ4K09WIddV8szXOQR9imqvvNe10c596b1OCW7r3dR/b+pfYOcRnO0bzLtAVjd1aTj2q/TICj3L23RcylKTDe5+p++bfR7b39xA6NlVaAZMoIzajvBELhotW9icJ4wDgdH5qpozFdyhM8qOOLcj3B+nmEK53O8/rZ6nN0ekzbCkcszwcShIJ8jfRDaUjPqytPAsa6Q4RaWItbG5kZba7gJ1U3BMXv9OhAmij2KVkcYgakjDja0RgfQLFZT8Qc0mpVZuAFb1vAZbathqjzHeUeWDgu6GSS9qOlUytC2i45d2ZJt6vqzt79E5971nwdk2hi8bCu/TkOuO757XPsb7zt+7o28ZBNw/+xrIejuJQiCBEcqH7Q+YkgkDKQcjWSaatjEKx6bv/ICeVqUOFcRzstrwvGumLQzHE2RSUapPEHAnHJsygfzHC4gY2G0zYw1VvtBVN7EtroNx1mEkcfUkQUb0rYaGg6OoAtKV9MHrUIKS9tqKJfKw0XVsmz+uFwxreQ5zj3v1ftW372+QqbbAXxvvw80HS2odGFp+G/zaLc0a9+odh2H0D2e/m6+zHaQbN1xzWfZ23fBNE0NhSn2ICnvWQSSmcjQcC2CI22rWZXnCClfyaH6K0/K03xaXJSeOtc8nlxHOXbheFtM2gKOEDody1BymfJEGJFJxmh8xAKO1YCtOlrt4AhjaRBgEJW29jnG5tSExZFyqTyAeY3to9VtOE6j8tAz5shCDikzH6VJygv+hwwso8mDBEijbMoaOBrhZsi0mgNixUfY40ucX5udWS67+hS7kmNvv+Nj7Kw/DUdbm8rTO95gk3LrU4yblGP3m9tWeW76PNued9vjNtm7+X8/KUfyOXKqY5IskJKHijryMIIjj7ig2mrKhBRUPviXkPLUlMVFadW5fhhPaHbAF59cbVtNQL4LJm0NRy255A6OzpcgRJE7n+N8wFYQWJ7lNMrKwA80NXzIzEzxMFYUkHFwPDpSlJyxOxwRCIPYKzCcw1HIIbc6MFrEZsL+EMrkxvKp1XVXHoJjXnXloW7RbThuVnCborF9vrzr+vA25DmubOy63rdvh33Gl6PVc9F2SafvbufvdWMSui3Pescp9I1Z2NtfqHnXeV1wTpVz1oRSwm2rqTOPpX6OjIo/GbOSfSVj+xkLxMlNw/G2mbQVHM9SyPiAWhBBmLyGI80hK5rpgwFEAFdbLXvgmFNXniOo714HjgzDKS8PPcaqbbVFYDRiM2N/iFIXxrCpLTGD4k45qlIrUq7NDJk5W7p5hn35jc0bdj3+Eu+Ue2nX8+16/DfdPrlI1jS7XW1ye/k/tO/41aa3i4qZbglo28Le/nK02pLPkQIyIOVYwRHcDMARcsY85rbV9ises79kwpwaa89vSjneBZO2g6OAjCkJPE8l45FwytHBsVaO1Jgnr1qWERzJ58i9UGUGyuqJZhQWSQ40wXH0/LnB48d6t211pRx1mR/okI8cHLU5sFz4jOA4wX822uYGmLKSz6BpbnXlcyQFS+2r1hfIbFBavUHmLZXl+rKclnDd21/GW73gndpqNyq3cW10y/naqTbkCZuLeuG+8+VRMPR6O+qqmV45r0Pg4nnnYNvbX7P+zLoZMq49SCC5iWxoYs4xsMxGTHIBA8Yk+4of2L9UwpyKkuDon+uHuPa2+uwOmNQPR+pw/qZyuPZ+kNa22sHRr+GYrcLxTXKg37khODLGjgRFq6vyQQdHWJvTlpralbE5HLWiQQ2s1dtvrdboU2bbKrbmuE0KtE/o7O0vV8yQclzTsqxbIdPrAaR8vHZlS88YrXUevb6QET2/t99a1ybP0aXysIBxHfFAROBwXXmstV61Zva1TdhfWILjdZXjHTPpcjgCgp9VcAzymcdpLGuRSRGFzt/oKmRao1kJjuRz1MgMdKiYU47QrIR6k6CGIwweY0flWKXymGIw1AcYIVcPADOEpW67JjYT778AJjcQE1ASuOYpoyRwynOkrjxSmPVc2qQAN/n0ur7H+nxda3zbPMfLLlcnYXrw2vFVftPtW+RUodr+x3bL/ebwE1VOQDuPoMkSaI9Wbb+fOoZvajjcXei9/cWKuDxHEgJUW+1BcsECC0ScpldzJOBUW80ks4Zzzr6yQ/0XheCnYW7PrxWtJjjeIZOuBEdGFZU1HP2m2W0OUAJ4BUdKAccKHIfqtc7zY/14Rzg+B/zhBHF0gmF2gANf44GFHoIJ3xQ6xph9aKwpSDkygxnTMkVpclhbGkpHbw1fWvYhVX/1bW6b57sXUtOOvzs3eteuP33hl+7z982+ZCKjpk7d2upeD2OnBrv3fd3j2ve2tWmOy7Xde/stj1Cd52g8SObcWyZCaCLu84R8ji4gQ9tqbl7bBP9TC3sWwp4r65+XvEkC37JlWVNbfQkcb4NJl8JRnZzIgD/glXKERwEZKhdiLBfkbyTl6DHGmO/T1Ghqvm2tF9CGxhiTUuGqYmHsIPlGQ18Lji8ncczkIAvCAz7JjljoJZYy8zUic87+iMHkukDKwGdG85RrU1hjnc9RrHQCv16e4+pFcrd5jt92+7C6k8rTo7wvHbna1Xo0KKYzopVmyKxrArLtKNd7bJ82hNTT1WWvcONLKUIteMSsSiB5AGGqxhMMr3GAP9elPefSOxcWF/n5yQw4yb94+nS70awtON4lk24MjgUFYfNNcISmzma7KEd8BvHIgy/fGYdBPEz86XRk/eCASQxgZKUcZ+yPmeWFtSplOU9hkUGjsIY7OHLSsvSoN2o75xl2a6c35EXO4bWyva1e2du/PM/RWJG5MQn0fdEazgHWqm1vr21zXLPw6/5uf4fz6ZBL+4iF37P9+t7+2vWnyTquZRkgmSh9CBFQwwl4PLKeCZnlkhvDrM9fsQH/cyXL87AwFzwOxnqAGZ6h+Px9KDC23uW1risPIHaB43WZtAJHPHsmXscxHz55wvs/SBWtVgUpRzD4BfICLuHpcuW4MxwZPoX47vCFL4/jIExGcWgxyFh5wC2LGYNnlI5x4f1XKhUEjWTVyDV1BTc0lpUrxlzji57HJp9j70aq88Km/MSr+hzvp/0qCbw7mpXWolrH9fmJi+/Suu1cA+DF85yBmSUXS/t7WaM0V5wue/vN+rt7BkBkk9xjVA0TcJ86gJuIWe4zAWFgaLL1K3PI/4dXFhME/lin4+n5e8P01TOU2BKOXxeTNsARkk/OxfRoJGhbbXkqeSuVx22rXUCmQFqA0TBAa3LN/KBKvia/Y1j5Hqtt9RXgCPAnX37pyYMnvtKIAx8R8mJoLIu4z6QpEbMTfAQ4OObQnMBYcPBSWU05jtR6Yvmxa3R526j1tizb269UWk903zBkTFVTJhajQFujVesSvnXTILujW+d+41bZX/d9C0QuR7n39vvXn8Ix3GjuejqC2mLDhwcfgJtZbQW1cgez3L6SB/j/DDNTw4JpNsVMech/9R5I2NFtbKNyXIbj9kxygs33jc5yY/1A78qkNXCEeB2D+9ErIbxHguB44QsJOZARTyVKJkUYclbmwgQB/cuYKSYMbl18FPRv9nzla+QER2OmWoZJeSU4knD/b+AffACBY/g6RKBKRMbksTU0CtIn32dsT9T/yRSUIUobXjBSkYxTLx5X670CxznENkV/u7TbVWn2KcbmvHv7a+8nrkKmFa3uJizO37SczFMlaS+68VSvLtZ4TSpOK++xdRw1cG5vw/f2lxNG3Y3NjUdhbmvtUTMa5oHDN8L4tKOzgnOa/22ZfWmH+v8tmUkFUzM7LXPDj/Ivn7iRZpqKaNb+Blrbajy7GpNIrDk4UjmzxRyO2zLpSnCkyBCpRkGxqCaVBz5sWbDS862gqHWWG78Mciun+dXhSHsoV/kn/gSQL748C0R06Fs/DZnivmQQXAeefVt+ZC2LLXjJFZRlUFUHcG6M0usTwLdReZ2aapcMvO6xSCRe//o2ti4775yl98Q+R2ZNvYdufQeCRqC21qk3z5EgKVpzqzvvW1rq1ne3dpO9t7+Y/91dx3pUAgVqmTVS0SRCDs81naBgDRHU2Ff8Hf3fmTS59OKMZa8K/fZR+fn77q5FyvFG4LiOSQRHTunPBEcfGiZQuwi2HeEIibrxBPkbF3D0XT9HPS04wZFTLMTztaJSQgslJGazEsXO22rn4LD0GfnTLyDjIeRFAE+8nfgiEJ6JI2aztBrwdR5939PmfWU4Z7o01gpjuDWi025s6cJYmQLYJVRH+a1MH6yO53UljOl53aWWrHvs7S+vSrNMivIcqTneYt0uS+peVYQt32Dtwmi/n/aBzfa7qyz7Bnrt7S8pa0e2um0Zp5xUy7SwjLl2hlRBR3kAFBgt/PyvcBj9+yBAUZRQ+eTL8ssnT0g19m+p6+u+mT54uXK8nEkUJF6FoxsbvXE3ewkcIYQHwQXEBZUIUQoP9XMUkLxO5ang6NdqqXABmTKgwdVgVM2nssAQIEvjKmYKGqzDZyi3jlY3cPwEHD8CewqI+G//Vk5+7dek4pzHk5GLPwt7YafKGP+tkFpGvyc0/y1wa42uGk5sm0/YXKnb5hluu8ne269WdlM+abP+jHyOdjGhZRvh3c4FbfJN6X19z29zzl2OuW/2K0chRazdbsal9TBm6IZG6T2WG/4zmUz/wXq6pGszmR2qafyleufJE/1ZlYPQrxp74Xg1JjVwNNZqTKxifkRjo3eH47NnEMfO53jZB2lqqwsHR8sKEsdWW9/VVpOENchZlgcgOEqTmbMwdE0pihTp97+HSQro408+sZ88e2bx8cc9FSz1z7NSj+wjgD//AiILn/MHnsfx6FF1wCvgzfMXNv7wPT367DNzzn9wyFj0Rwx4r/oKN1W6LONr9SLeLhq92geyi9vm78sxcd/tg6LVrRkyS8p7pba6tVpLo1vbz7e+h/b7XY3HalTb+dPaUe3e83aSxO+ZfZp37G5EHC4qAyM44+p5LvKfDn+YUP30yrX52YcfVmB0d66eLXUHjjfGJJvN4YhyrM6+N1TD18tB4jaTVpTjbh8E3ARgtqjh6NdwJOdn7QCl2dazLGN5DcdsBusdQasU09//fz6ZbQXHarGacjIHyg9BQ2Oqmdl4BnxO2Y3jTy0++qhZePODv7Hf5xp/bK0euuOumOdYf5X9QmJ9P7TmJ7B4395+dU1syBtlVmTz2uruCNZmNfuen3/PrVzKzujWtVHyXe3s7dMO0T2s0dxwnApW/MXP/iB6tc21uVGVtwIyxKSDA4gggKDxfut3s4tmOJcxyVXu0eCUXeD4o08+4a+Pj9nrdz/ifcrRnKUeo76OdVce6gauy6JKhLewCrCe52sXGaJWYfUHSS3sxINvMrDSh46JUzGsuYA6zb4cf/n972cbF6u+m9THMXzyCcOPflT9+QmAH8HiJz8Bfvxju3RH+m9WvP/b+H1j8QcAXDH84rHtxnjTp9ukLJv3b1Kwm+z0vf7tsn95s9tmDS4LzawP1VD01JAnbP7oD+msr2O/LC9yc6joW2nfitwY/PXP/m/8DD92a7v9tXnZz91aRkx6hg/E6Z++Lx9ysAc0HLsDx6syCSXU2fewnXKkD/Kvp6c8+9P/i3XheJpNPDdqsWCyDUcq33dJ4A6OvlUoluCYUpNbR+nqg4hfQp4HCOZwfAs2iygXCdn7Bzj/hPXMsF1dRAbbCXLVn6JvvX//b2ySW/wRs3gKZm42qnxVpu3ft3YFGOMUrSYn/zxw4gQh08ysCbD1+Rjp+GYXveQTbI9HcJ1jFh+jff69/cvWX1vOxT8yib/+/ANGOYvNY+drc+2PwFr+5Ev40y9fS7wLvPfOsW3D8aaYtNW2eis4CiZZuVCOCzj6tXKsotQyy6kbuHJwDKFgoM6GFaXHxzD+BcJCIpi8BUMEhDQgnJJKLzD56ROcX+qLuCZQfvj/20c6xp9YQ0ve5+qs97/d7bK53DW68tF45wQrb9/bX09Hm1u7mFu9NEbwku9/nudYH7OS5+jyIFtRVwOml5Rk9cbVprZ9CnP5w9wX+wzil6HF//zpf2Zn17wc17/9c+uSpo/xGvgKuBSON8Ck/Bj68IsvTPr0qT7+BPaTZ/+hgD9uFFQtYbvK0UxPZfDOEZ9TWsSSlXm9rQ64ZgX3WBWtpuRvQUnXLoUnN7ABtStbgWPrg7BfvcCAefAJjKN6WBdVRs88nH7+Lqscurf0+J2f2t9m0H9swUjIrn9w3ukz2KM4m+PMDSvSe2pfMJuppnywdf9wTWi7zWrb/sv6XiTMdse5L71z/uaHoOdVTIufxr23b/UEnvjzZz9kP7+Ny/LDv7Tev40QnVRAMcf0369egz8w9nd//5H2X0HcMpP64Aj+r6fg2Z9ivq1efBB4VqaeKx2kId5F5fykOBVtq01RMOXDCusb42Ge37gBju6D/I8/gX94hAPk8AMG2vBUEw01yosLvPny+xR3uZ0HfRmpV/4XC/571rKq0UHrsfiz+l+U1Nq9oOjvRiDOr7OOIOQdBbk4rnvg3n61AjbnLlq9UGyXexg7irBZxlaLsqX397UuW/mZ7e2T79UCpRHib/7ph/j73nK/61yi1ooHXyCJC8hJAXM2cC0P7aMcZvhLqOA3YBtX310waY1y3AGOVJlSFoLSeEg9UsUgJYETHEk1Gi/QJs201VYNDiOqea621YDOsUbC/hj2v77B4JzjUHIIz2XXg2lqbBFjnCR48yljlDh6K4+n/2wPZI4/scp8nwxsCptcN29xfu3W/6MvsWeuYjr/6m+7fcltRo0n+nyJ3R9Bu6mtQ2tPM9vLnm/OuU2+4n2xTwnxltsv4kL+5Wf/B5vd+MVnLfvBP2FwLhByA8sV/hd77x5kyXWfh33n0d33zp3XPmYXCwyIxWJJALvAguCQkvhekmU5elSUWALtOCUlVspSHMd/RFFsx1ZCsiKlHDlWuZKSrKKdKkVRKQ5hR9Yzia0SlyBF8LUCAWIXWGKwWAADLBazr3ne249zTvCd7r7T986dncfO3Z27mFscLmZud5/uPqe//j2+3/ezBEc5DHsViJ84iuz8FzdosG03JnW61b3BUYVKLQSj2ulcz9FbjsWJeCuP2SkPjqETLnEmjq1rjGTWtQz1FIejXuAI2zxKnuOKf88b/4Rz6vwC9iRNjIZRYUUmkCKC08DV0yO40s945Pu+6+5RynxMQOzpbcOtEyNcL4bZPugaWmbr7v8uGZ8tL6oxx6pF3yFVpihesTJV3VJl3U8zFdk7tq/EEtc7bnms9ba7UVh6gMaX1rwdG/WN6Q+I2W0HRQB3v+mGshZGXNOrINjlGqzIYOsZ4ksn0OQ77oknby8mtXmOvU8EWoXzHeDo0tiDJJMxug2OefngeuBYu3zZ2v37s/Hp3uBYTsJR56JGE/vFIoYoeuRdd45lkWmFS6f3irl+TFju0Tnx8As4Lhw+5Kyt+b+thWVbPAmBzlimo7TTjT7vsvGFzLPVuTgt+YoFAN5QnHYdXuMqCk+XKtBa37/LxndCLSuBb585Lqa3uLxvuNvRl1w0l2BPGELHBlYYWBXCNJvIjiZYPP1BkZbP4e3GpBuDYwi9tATffrG0HFeDY+gtR0ZQVQBrYufjji6gCnen5bhRcCzv7kedG2m9jQOoI7BpHuN0gAgyNKMYbzx9r+Abpi8fTmKYZD9grDxO6aUbD1KaNutls1elv7fp3O+s8QXVAkrLsafMYo/scWdQsWe/HQmFjvr3XrTFG8VU2t/deeNTzgtCfe/cZXwXn+pDCOvLTh/ci71yBHUswxEYZQQrUxgdY+HNbrfdJ9JDFyYAACAASURBVIl7WI63EJNWg+PPQUzQS74EdSWEbi1BjfUEx6htOVKNRwSMObKHjKNMmHFBRBXubDjyOos+5rhZcCzfIFML2OcSTGRs0wAIb7GmkFrjysgevNnPeOTxM24vHD5qYe/dJiTbPcw6d8DzHB18zFG0LTrmy4ywfgmUSNhL0GMFJXMx1h6it54MvmJp8rgrXvPK398t4yuXvZoG+hvnHhIL2744nROTM9iTNjFO4S5K9QjLniawI8tYuvD7mCdtZtW4VXC8TZi0JXAkSCmRg2O7QibIa6s9ncfFbXCsmyUqLWYLh0bS2mVYux/Z7DTsZI+Y440mZsq5QF7FXVZg3LvYIEnYRyBdluLimQlc6mc88sEX3f3KmI86IUbXLScsL6Sb59h9gd28yVVliGtYmusZqAM/voxZklZexkbrWLq3W//3ziz3ynirs9+9aqnWP35nnc3q7W/7+FezBE+f+4B4c9tBEcD+F92IkpgIFFRCUHTUqYC1GZpvP4KrEIUL3WvwTYJjPzBpfXBUUGPNwq0egmotIFAyz1aTzkOAos5tKTyxChyjpQzzNrteN1kjGzdbBcfy/p14yzXEEO5BCw0dQtCC9GLsCnEm8Nr3xsW1fkx0YcXKh1/A+6XAFIwlUdV/bBfPcduc5y6eI3ty9Lq2O258xhy9nAG94wppWwhh3EppVG+yNlvU2c7tuvpY590JS6JQpxhueX/bf70DxxdSxdLhO2eO4YV+GBSHX3G1Vgt3CYW60LCpg61Z2CwGu4FeufSYWFr3Gb0RON4iTFobHAF15Rp0iycioV2MoKVaWoqaVimUFIkyKWQQdZYPahv6umoXwLvVoV02Kh1Kr9evbws4ljf1B+bdvizDPc4gJDjyYaKqPkLM1a7jlX7GI6fedEPNa9mHnZMPeUWSrplenT/p3KLNlyz2WytiuCbPsmu8O298F0snOi5rM5XUbWeblvtmq5rWeGrvhPGtcywtfyF+TX9n+kdFvC5AbXYD59Q90ziUZdhDUBTMNBIcLUwU4+rMMVzbMBj3AsdbjElbAkdWyWgh2iRwtkdIHbUTE6eDHBxNwXOshS6rgmMrvWjmlg6ZzbrVPefJOfmDTdwdL+MQ3ezCkpUuo54kLu4/gFf7GY88Me0OmBQfh7VeGq2Nkltl6qyxGK3rzG7LsrJpo+Osl69ZS1WotIxv8fgGLlZ8inyjrK4qpfY9Wrn4fLsVQYnO/WzRwZD8x87tykOt2r744k4a3wr3hnRLT585PuYLULb348RdL2G/NjiUCIhQw2a5G23VMuZnHvMhr83xlDcJjv3ApE2Do0hFQJ7jCjgW5YNJka0OQqPY0IY9o43L+gqOxQzTjB8dxn1KYi8tSCZtKL7pFDKX4NVn9+HNDb+xtrBqHnzRPaiAjwhnG713X9+2Kxz0NUbfKLqtx4MsD79RVC23v9XjM+Zouw3n1bfI0whWwNOtV77ZzYP0MeEeVU/dFueaPMudP76Qbt5APf3iw+LCFpb2urscedmNLTncK4HIW4p0nzVsaLFsGrj45t1bJI9vAhz7hUltcMSTkFMsHywyQ5id1Qt6QnW61WBtdQGOrK3OY45ez7FdIZNYY50JwxwcF209G0qRmjqyRgazrZZj19RNXXVjmcARODQ8OGZgdzThDJYbAV56ekz04a2Zn8RJ5/SlF/BBSPu4cNA3WlXtB7p46NZ9qNddopvbYKePL4CYL7jcFO9gXfcgnZYme2U7z4esSJN1/74qEMJj9HqxDPD4yiUw9pmzZ/7Nc/jsZ7dLm6+90A5/2dWSQ7hPSoxT0Fqo3FJkkztdw8WZe2/yWaPA9W3GpDXBcXZ2VtfWBMdI+Uy1p9QUeo5d4GjZntUgMxaZiZBSuiwHR5i5JeRuNeCexDs6jGu1Z9zcM59v7ZyYWsZdpoX7YfN4JDSENJCQmK2P49zToq/8yNEgNR8TQjzQPv2Nyi2WO2x6+y7LbqP9CNa6v7d7fJJmCym8jt4KvZg75TX05EN2XqCHurVYQOv9nYcahPElnBD2pdqo/sbprVptN3ruvuTUXY/iXqVzlf0SGCVbMQNvv/EMLuKzG5YeXHukHuB4qzGpJziOzsyo+ShSvcERheVYAUdmq9lrPSadJ7FWB9l64Dg2d9oemZqy2w6Oxe2mJXd93gPkPV7KJXez/fW6FK8+9zxe7gvZtRj/sXPunsyaTzoh9m8F49/V+zjEHhy73NuiiXyPbnW9/V4KfqzkY1YsQ74lO+zR9ruFXmHF4hyw8aXAJanw588dFRT62vbPgfPuYCBwv7X0IEGpFm8tOoVrgcRr2yoS0wWOtwOTOsHxCGRrCmIjJ2KygsrjM8RhAY5JAY7DmQ1xQ8ux3+BYrgxP/YnwPmGx35EbWfTa1RKJNjj37X3i9W1fReUBnROPvohHrMQPOa9cuVGCYnmA9WKV6535YO6vIOOsEnOs8gOrCRpSm9o0JubDesQcy+8ZuiiPUx6jun2v7aqGfGlY7sTxhcRylsXfPPdQ7dx6K2Ir3+99yY1GEu9zDiPsA2WYbFG+s+iybuLCayf6QJ8rwfE2YtIKOAJyCpDsy5KD46Sqaail5QU9FkgtVUO3GtAiyS1HQ55jCuk8LubgmMaJU95y3DngWC6GxxfchHR4ME0x7Nt++uoJHzOdsxLPn+ljPJKliHVkP2ScPEGAXg8jy3b2FMOuLma5Rg12uV0Zuyz37+Vx+r+tg9E7YPzY9HCrFU/MdAgwdnZSLS6YcXBbaZBV3c+DXIGSq0jZ/sLz46/wHFdmYKeN7ySMg3y2Po+/aNckbwX91tiH6zYWeK8RuMt7hhKGnfykQSpqeG1mso+JzqIl8+3EpM2D4wKCjD1kZCc4Ikl8/GGngqOff+fEiTkcFgbvZTySbjYFDnzztAAz9Xk8309+JEsRZYRPOGvv29waXi9b3Hm01SHH7bIgN2b53vz4MvaUvBt8qhYcXwo9LchKPqXc3r9AuvMsm5sMv/XtHh9Kno8dvj79XjG/hdO/8S6fd/I9fwNsLn3EGUifhS4TLg4X9zTxSldrhG0/hbJf/YbAsU+Y1AmOp6tudQ/LUUEnKQJFcMwS5cVuc+I1Ugp6r2M5NjOY4SIhc6vc6l6zxjfi6D48aID3sAE5F4BvQ075OoFzz+zFOWy8n82mF8aJF939RppPQojxTe/8Lthh7Wz1WhffhXarstPlfmuh4mb/3n0et3B8667qIfXVZ+8Vb/RjKfi4osQxYVA39HEIjIwralyLE7x0tR9g3OtCSsvxNmLSDRIyOTiSyqMktIgRyB7g6CkXPiGTg6MOYEjl6ZWQWQWO56dsqbrbj4le75ie+gM8CosJgiOtSM8fCbCsMzx3em9/5OALK1Y+9DIe1wI/4IDI/229Wus1pcsKI2utapD1DMe2lPmNlcnXlm7b9vGpEFqZvmrZZDXUwL93/94GwpWQRBmL9IdcY/tuxtBGjuvDHLdmfAHXElJ963tHvBp3j6TUeqv9xt+zDjrUeBQS+72lyPiChM2AZtTE9189Ji7e3Aib3LtnQubWYtKaVJ6rgAqK8sGWhFYxAqWgZRp7y9GKSDLmaMWSZMdT2QitTOBMACNbse0AxxTpUB1ZDo7bWCGzyfu91uaPXXb3WIkTwqFRkOvY8Etah8tuGafP3Cxn6wbnefd33NDe0eyjTsjjvq3lrfhstDdNv85lvfElYtD62+qnOza5HX70Zs5le8d30snnmwLfnH5vX0r+gntewTFhccQqMFKbl/1JX/57/o0jeLmfXtSat7UHledWY9ImwbGlVVFb7RMyjN6Ehf5CArA1q9Ihg7ZG2ZaxxmUmdZkJh9Kh+vWsmY3vSHD0E/Qlpx7/DB60Dg9BICA4Mhbpq20cXh7bi2dOif71s2EpooX5lBPi7s08h3fktpbioD1CjoUF6J3YKsD6OOKKBdedxW7bkl2xSVSz2xvYv9z+Vo3vDGZEDV/ty8vZOXHv6zgCg0esQyCY7fOSg1TVwkVZx5ktV7dsx6LcMDj2D5NWg+PHIJaGIEfrUEF4TbeWlGoFo1ppBFo2qcYTKFnzlqMViXRJXj5I3q4MEivjwNpGlGVNmJB0nghpZpE1RpAtXr5s9+7fn81OT9vJo0fNqSfhULRB3I77uR3HoKiEa+BEZnA/M8vk1nmOpEMmgOee24Oz20pa7zrpE+fdgwbmE3BipP3Vekrg633ffWO2e/vtPp4oLMeuUF7OW1ydFPJ0xPIaK1/7xmbF9t28xuphyqgCa6ldB8+xM7N/68Z388Jlf/78e2svb8ea7j7GwWl3INCYsg5jBERepY8rAnPG4rm33tuf1gibupYqON4mTKomZMTJU5CzByBLcKwHUMsKarm1GGg1rANKlSnoNIm1zhLlwsj3m/ZUHmq10XJka9ZWbE0YZcYgCw0yV0NaG4VpzcKMxjDzk746xp568kmHs2cdPv/5jaVBN3V3b27jqXm3P03xQSGwv5DPEtZCCWDBCHzzbD/jkV92+tH78SGX2Q+xG8XKc995m9bKYd8wzdvjtqyNbZ1H2rya0MbmYNXkcyFV3GrPuyosu+o5CIJZpUyQv3ePuPK9hLBWuIqFKBhaKwbvPk53CPJWjO8sUinM6edPB89sS5VJ1804+JZrhMuYcsB76D7bwlp0QEtpnHn9XpzvRzxzY6uga6s8IXNbMakDHJ8AxNmzUDk4XlLLwUFVX4Rqhos60MNaJU2dKqG1FEqLqCRUt2urReycGY6McjCZhSE4BnbJuFojrRmYVtYFjvkLn+WD2x5g3tKE9NjpkevuAWHwAV+vXSRtaFEqgTeNxNf7qR/54KwbCZbwCQc8yFPjw93rujpoKtt14ZyYrtjgrRp/JVu9xYuh0nfFAlxPc3iLo6y922bH51Mg5YtyCF9/7q4NaB1u9oS/7PTd9+NRKXCcYSLBbqs5OJpA4KVXl/A8jgvf7GTHfApwvJ2YtAoczwNyDpBjF6EWA6i6hlpuLuhAS53KhlKqRbkylS1AuRpEXjnI/4tc4mKnXGRT17KBcZkbq6chgZIW5JVrNm3syeYPwjTOwk4cgz01AODIa2Mp4tU5nIDDI7AIfGY7J3MLAZxd3oNvTYs+BMuLlfrY6+4ek+LTkPaA/9N6bux63/dwQf2f1jQ5u2zU9Y6/3vfrjc+YI0+mlGbj9l2yaR03gd5LhfTdTuZUWd5tC7M4bknGrL4AOF51nFsxvnNvOa2eOnO/eKsfwPSeV90RZ/EDEBgqAdG70AJvRSP4zvl+Nqu7mQuqgOPtwqQOcCTGkXRJcGQfmavnoOvRdZXuHZeihSBJmpp9pY0SKhBCEhxtHAmXxLkqTwibIrJymQKXTVMbr6dRYUEuWtihmUtmfvSgaSzDTrwNe+rkzrccq/NLSy4U+EEI3M/a3yJhw8cusQLfen4Pvtc3K5iliDN4xBr7cWExtKl1tzkO+aYOvaGNNzu+T8hs6MhrbLQNLO+bGX4j2XEhqYb99ecPixduaqg1dr77TbdfZfiIczjoM9CFC20dFozBdy4+0Eea2nZcUAGOtxOTVoPjaci5MchWDXLvJOTieejGPkitoFtXlnWqhQqkUFay9E6IkBIBUWE5Rv69a5Ut1H9ryBIH08iQLRpYT+M5dMiMAXbkFNyggWM554/PurtNgI9012vD4VoEPNVPfuRx50JxIfuIgH7cCVtAyGbRZztWb/UY2zy+kEmHZViNJXZLkVUTKJ1UqJVQTeFX51lsQkV+7oWQRfFLd7a7S/KsvNybHN8JFpLJZ6LL+HY/Sv4mX3d1AD8oHB5iHsBL/bLkTyAxBs+98R0834945navqKJCxscdp24TJq2A4xcgcAzi5BNgqoqvNTl66ZJaXgjU8P69UjWhY7Wk6FobCRmWWo6tlkCNq7Lm2IpbuKZLHGwQORMYa65ccyY6OJLV98DMzcDUJmHHTsMemUKuyLPDY45rTrpz4rGrOMaFaAXqnvpD2qz0LvcrCvjKd/eI69u+aIoDPvqq22Od+bSAOLLpMTbq9m76wBvcYb3xXd7sd9VnDYNwlTZtd3eEGxXAlINsJCV4k+M75843nXrq/AN96LvunLzvVTzmNPutIyAkWuFlxLgqX0qv4tsb6t2ywSns+2a0HLcFk1qM/9kkatrAWhMaZ2Yza2qTo1k0CzsXr41Jq8FxAmLhJDh7cuziRbU4H6jhA0q2lvaoWENlaklFQsgoFtLW68K2mgL1OtBsQtbqTgIutsuWxbHaNExSR6btNVvP9hieiJ6G2zcCM7IwuJZjdWGwFHFon69yOeEEtKf+cDkS9CX+wo7j6TOif8HuExfc/VaZT8OIvest2HULZYoDbAQn1htrLWyr/n1NjBRIO6TDip1kaUHm1J22Zci/e4uwsl319xWjrytR07XfuvtveXx3FVqdev6e/ihAHb7oDtsEnwQwTktR5Dl46yzeDur42isHxaWtzNdt3acKjjeBSbpW910PE7dsk9qQCRxMy8BEGUxkYOebMDqDG5tbbbBV3WreC8HsUBkAnQQo56uWr0Ili1BDCjLVi8pIIaOWkE4MCeIiP0vXmkKN160cgmsuwdG1DoZgli2svgIbpJft0oP7sxpyy/H0VGE1esuR/71zM9YbWSSPXnd74PAJgZwf6UsRc4mDZRfiqecbfY1HykdeTz8Apz4iJaI26GxQ/5mdyfhpC8Fu5IIr25T7rzLCtji+E0h5LJ9PqSDoKlGeCtq3h+ravjynVcepnH81vLmqkdZNjC+UbGmTfuO7h4Nn+xGLfs+rbo+Q+JR1uL/kKnpwdGDZ2tOv9imeucnlsbXN85jjTWFSswmoGqysw7W8KA4scyDNMRhajbXsomWYLwLcxCmfA8k92cKbXaGGVLNDRbF3DAhmrVsaMp6ArM9BxZeYkIGsj0CgwaMs5cdYbsCnCWaJBnBBDWbZwOph2HkCZQqjDsINASY6C3emedphYcHh5Mly+XXSeXYwvedGs33iurvfOZx0FvuY1Ra5npiEwCVY/Lvn+6gfyXjTuMs+DitPbKQUcaOguNHtNvsUrHVcKWRqKin5DvDaIFi1QbELBNcSDN8weG5gfGspYGK/N+/017dVALa4FsadF9/AR63FVNE0LLcUHTIJPPPaIr6146g5m10c3P4mMUmg4TFFLsItL8BFNZhmAyYwsNcNbP0gjAZcOwcyW/CuP/c5Ty9cBY6eeAmI2bOQ8TGwZZhoXrqkxtVBmSrI0T0Q6TxkuuT7RQsnFotjDEM04LAI6AbswjyghmHltetucXjcqP1g9sDJGbhaC3b6aJGpXnGPSnBcAckBBUg4Jx+Z89zIjwiHehGHpPQTw2Nnl8bxp9OiD1JTxQJkKSJCfBrC3nszFmH3eu62ENuWYpeFKAotxrIj4GYtUimQVsGqpBit0l+s6i52dTHoBrs1LcgNWJqbGt+511ux+sr3HxSXt4IHN9zHOXH/GzhhHMjzoCnSJnIDeFlcx1f6Ijy77Rey3gGd9yVLy3GrmCQaw0wQ+1BfYGEXHJy2V21kjJ2LJ3z+g1Zj7TRcRw7E26vd4PiFLwh87nPwrnXFelw+fVHtnzok4suQBMbRvRBmHsIuQmAUMGJBKDeSo/QI3NwYgNeozAzHn/kUlsTTYI8XynQzGRz4swKQHNPv307SVO/fgIIkSxGzBj5uHd7vKC2fg4ZwOc/s67VxfO20EN6F7MeHpYhO2ZNOcpYqnw26u6voNGvsJ4s6aEpE9/x003LWGZ/guMry67bYui3C7pKWbrDs2n7V8df7fp3xrXPzTqmnztwrpvsxl3e/4e4NLP4yHA6RvO2J3Ln68WUY/Nmrh8Ur/Rj31h2zAxBXhr1JTCL+qFG4+XE4eRWOcUZ1EW5+tIg1HoUdAdyp0p0ujbUelqPHzBKpFwAxNw2ZaYh9EWTrGmR2AMKwEotqy3PVcq2VxKwcc066Pe4qA5ZjsHICDgwJX7qESycOWlwo3gsZ3PGjvr4atWNwOA0wUTNxsmi8xbP5wjvm9ed8XNLjyq2brO0b6cSCO2BT/LAQOOw1s+hqSwghsACLf/v8XvHc9o3WdaSiFFEI+4MUGKh+uxaoredGr/f9Rq9lzfELy7GqPbFe/6w13eW1QG8DFuNGxncOqVXm22cmg9P9UK85+pIbTer4YV+AIGEdQTHPQC/D4muv3wuO268c2kancuvbrcQWK4BYwZXPeYtJ0HqiR7tZTCIW4RoQjO6x2sFdy3IDzVuNZ+FqzdPu9NRUXqnXxpocZ7rdaoKRAE+o4l6TsLJ0IQdJOwmx5+yszJQQ2LcfRl71x1B2r8MVQO/l5M3ibUx4y5FxRlAJ7s382iV/5+d1QB/K/5vZooggyc9ZgNUzOAW0A6TlSbfPeDBB8pHL7mEo/CVY7CU4ehI5rUmLGVXDHz471B8BU962B190I7W6+aRz4uHNPknrWYZrxg7b6NI54nputnDIqtnmjSZMOtzftcCvCyw3DarF/mSySZudM8vXvnbm+IHFraPDGnt+2enDD+FjNsMnvSAzV4llZ0FkyPDdNMSXb6tqzk1fcJeluII7nUcmMJafAiAZ8tscJs06Za27bA+68BAsGTNRQmCE86yZWTg80U7GeJe6Exz5WyVDhCefFHjiiTZas7cMEzSMQfLHXqQFeUkcxMH2uV8ugZAgmL/h8k8BhOwqPql5sTPFF5P+36OTxbYXgJnDcJgGxuhyF5bkKpAcYCsSX3b6xBQ+bDN8QjjUfEfEwpKUwF8kKf7fcxN8Qfbn8/hr7u7Umc/AibvaI2y2FWv3qW3z/gTHMl655URJNwiuAZblZhuOUfqnRr5l7fJXXjjc6IsA7L2vuUeEwI9BYIw8xSIDzfjZBdTw/1w40J9Sw/6suO6j3gAUCwuxvceTPc6oYkFuBpOIRzTCvCFWBcYyQ/2FLwBMxPj5vTE45sDZZc62znqiODxIXoB3ErOZGQFMQlcAjidQXhYtwngaK4GYo8DhCxcEDh9GNgOBScBnDcrPDHCxOFYHwk/1jgvcmgnd/lFYihgF+GELPF662kzcCCB1wJ+dGcNTEHwP9efz6MvuUShLUYt2KeJW3eyNnuFKQifn4HTHKMvxXWZXwLEL5Npg1g1+W9xurcRPr3GklEvW4s/P3CfObvSaN7Pd4bfdXTbDTwiHB1xR2cLGVrC4ZgT+v5l7xfc2c7ydtW0FFEsrsbQKJyBoha36nKKwARwTEd6yo8FG/7oKkJvAJGJRjfdzLaOrAow5AHZ/qtbjyndlGY/AFFCCJL+Op6cFcBRtt5h/LGKIp/MTyceY8n8XeBUC7wUO04I8DHYGF8lFiJRkF34KumowAXeJ1ufrQG0Ctor2lZjkwNN/Hrni7oXAjzvgPsnqGlqRwjc1YrziD763t38PxPEzLpQj+CHAUppNrefurvWwbTfPsXSre/Ic1wPBDcYSN+pOEzzZdc9m9pn6Ef3NfiTQ7n7TDQXAj8Dhw7w8D4w5XzFxwFdeewtP4YP9S9z1D0R7JFmehCS4+c8piClSAokN1c9pEL+ABTAvn4MjdV/zcF/52TomEXRXXOk18xo3AscqePrteE2zp3KUZ2CUf/NAWXyqSRVe+amTJ3Pwyvdx/t/vQ+BjOUgefhjikIZIVAGOBwEzu3I8VSRyghm4kX2w9cNwLxUuNzNME6gkbipZpv5Ndv+O/Ng193gG/JhwGPPUH+dzxVQhn84i/OsXGv3r4fH+V9x4pvEpGHu01xVuVwKm+9hrHZcS/R2tVSs7bpQUXu6yitS9FriukY1Wwp2XRj313fv7UArqnLz/Ij5mCIwWdYpDFJXfrMV5VtTxxxf6WILav9Xcw0okXhTYQYNpqjCy4sJY8ufyEhDdl8cC+evp1eDIv7fJ4VvGpNJdpzV6g3xGD33AVWi/sk3hZpfAv9bNrYQKcnDkCZx5xyX/0soeZcvFiQuQsYZYugqJEzk4jpc9i4vNrztfceOCg3Ah4C4Crk3evINAkpYc7iI/ESfZsazoZ5MXxkn8uWzhj/qi91fc58ffdPelifkMIPbdCCS7v+u2OG+W5yikzKyhMHXxKSphbiXP0UJeiTS+cvqe/qjX3P+Ge9AK/BSpORUlbkL0Gy7A7712kIVqg/ZZAxRLA2kE4ni9CM1NQ/iw2uE8IVteaekhtsGRFh4B5UsdQn3bg0kchEyY8tNFGewBjtyyJ+eoc9vu4Cl3qyJy57xW3d8OqhCDqsyEewtyEqI1C4kJYPwyRFa62sxo850KoATKxkHYixfyACuTN12W5EATyY/Pub3S4t+3wPtJHPcZbZYiOrQg8MdnxvgO7hN9g729X8XjVtiPQlJSpPK5RTxHWo6sh+XIa5UF3qjMr5q1Ls9+I240txUCLS3lN777L77wXD8U6iklFgI/BeD9ZVzRU3NI63L441fvxtP9KDXsO8x2UnLyfAVjiYXbfPwsRByuACLPJ7uYW4FkregiEVuCoy8vplFFih8tvE7FzjacdVzX1jGpnYSpHm8NcCw26cVB4ldrpd3LI1dN1e7RuOSL/U8CcuE0RKsOwWqciRlIutgsV8wExH7eQAnB/64ehvJn5Cx5a9LCXYlhG4fzN4tvv7BC6PRIP6gcSaqQO+An4cC4pOdH0oYUAm9Zhydf2Cue79eiP/yKqw2zFFHKx7pj09vlZq+VAPJutYHbCM9wM+B3ozLEfpf8UaAkbeBHhcAPM2TCLHQBjhkEvmIM/mTmXtHs13z29bgdLJcKKNYhjob500caoKcCXlp5lktaX5lFpls9dqDQXciTMbbT7eUrs1LVV72om8GkNfjTNwbHcvC1Tmgjd7w9QsFN7H7DVMsVQwhSfRYiSCZoYgU5XoLjHsBcL27sdU8ud3MFQJL17kGSHKayVpKsdzbw6sFf2shp75htnBOPLODDLsNPOGDUu9q0qB1ppPieCvAvnx/un+rK0ZcWPg5VBQAAIABJREFUJmpR/dNSqPesVQGz7TxHJkDaqou5AMVaILhmmeFmeI5Svp4qfOX7d/eh5A/AfW+4jwiFn3IO42VMkeAoHM64AE8OLDWnO3l7CtJbigUoZkdzS9ED4t098glvAmznXPswLOl7tBrPMN6Yxxq7gNHb9Sse4XZi0hoP+8bAsXvn9U5sXR5i4bZX0J7NvRZGIFpTuZvNipxugDQiL1vEGPg/LNL1ug5Eo7DXLZx+G662B5Yg2QAs0/arSoMGtBTxsHO1xhx+DMCnfauGQk/Tu58Sfzo3it+fEf2zPB5+2b1Xa/spx4RR92e7eY6sSC1aX/WT58iSP2Oyr77wQO2lfrwM2aJAhvhpAEfYxsETuSk8S06GxZdemRTP9mPcvh9zHUuxbSUy0XoOEnlzj5XP20DwYF6pUuUedgBjvnXBO+wCxl4XeNOYtPqgWwPH7br71Qt6EvKJJ7yoTy56EUJM1CCXAsj4OuT4RO5eEyDTRcjRUWC+OA8Wl6viR1+BW0xgr+2BDWPYUqutrR/Z7fIPGFg+cskdtCE+K4DHGIv0smh0tyn5IfCvzoz7eGR/yiydU8dm8EFp8UNwtmhYvvHFsGGeo7OmaBm6EnNcp1Z6IzHFdkLHIYWS3z4z6UvvNlppvuELPXLVjdkUf004fLzsDOtFZwUFq/CHr76If4dP9Y/DuuET3dSGq/IQ0mefiySLjycyb3AF0kxC2CsQvsCh68OacJnBBXvzZ7MkZZ/5Ghx+DrZC29k4MG7qOja+8e0Fx/I8u7TbCJC+hhKQkxcKN/sQRP0qFAEyWYAcljlQlpIKHijfAIIh2HAkj0kyNlnLYEdiWFbedCmQb+7NtPF7eku2PLbgjiPFX6fDQlfby6KR5iDwmszwfzy/vz+9SXhxx8+8PSwbez/hII7z923nORZu9XbzHFl1I609Zxr6a2cOiL6U/N3/MH7UOfwV3zyE5X55bJGK3F8TNXxpxza0WnPVrvLycsz4IuTxop80EyvpAiQeA81iYc5DjvtKOAB7cgEaNQ535Qqgxr18YRsYmUz1fGj+5GTvlYBIv17yG3xCdwY4ephaEbdkpotWJJWB5t6GfO+PANdnIJcmIUcuQ7YUZCJzybQG4WAESN/Kc5SyARc6WLrc6hocXW6CJPtlj0/CvpZTf+wdwZF0Tj48h89I4D+Ew7AX2c0FdsmP/Fas8TvTI/1r0P7wBXdIK3zaGXv3Btdbx2Y3SOxQtaht0W2HnqMS7lJq1akXDveHL3rvm+6DWuA/hcRBqi4VPSLpRr9kJX57IKk55TOZh79yrDgNSTrO0tuQWQRhD0OkGtIDIrPTBSD6f6/l0y1nc3C83hsYq3quO4plsnPAsWpFVsQviu5j4sA0ZPOotyhlC5AxIIevQ9YlpI9FjkCkl3KAVIWuZNCAbVqvAOwim4MkLcl2TLKq49alyLGVh/127XP8bTeMGn4SBp+xbNVQ1GozSWgt/qg1h9/rh+hqeb3HXo2PS6E/AYth/u1meY6FcOuKu3szPEcplzSSrz97X3i2H6pO98y4ySDAfyaB9/sa6KLsz7HCSeF3XzmAr/Vj3L6utSooHlvJPhMUySpZPg1F19lch7QKgklTWox2Ic8HgC7fSC5XyJ/rZB5UgPEC9YSYePkjuDZVZwc+fzsPHKsgmf93WSYkfbIGkPsuQnq6zwTE8DXI1hJUTUGSTkuApEXJdg0eKCmwuwDXaviMtmWLWGa3PUgWFKAuS7Kj+Lyvi3CbD85SRKvw0wJ41LvZTNVQkNjhugJ+5/k9ggSJvnymvuOC5oHsh5SVH3KdCebu3yrkxd6nIqQ0wuXRuq3yHAVgpLHfNU39zTN9aFh/8C3XGAL+umNVE+9xUfIHR+kB/CGa/X0h9WUSOy1FUu4kfrzIPh+DaM1ApgEkQdEEkGMlKJZ85CIJoIdgPSgSHC/BqRFYxhg7RK5Lqs5mki59uei1D7pzwdGfczsI7M/T8yILjUm2jj1I0jgga4BK5nIrkgrlZhjCXIYcnoBjc2AQUdm6YQiWvSQIkvNX4eojMHMTMPoCHHmSXRzJgQXJ43PuQ87gZyBwV9GigdEbguVLxuBfnJsQ5/q1zqZedmNJwDYR9n3rjXEDnqOxFCXt1SOmKzFTjtGRkOlvyZ94YBb/ngN+xlqMsuSv7UYLfEMM4bde6SO1ar17uuXvy4ZWrF+uUHIOD+VShd2gmC3nmqTV8QTBcBiOz5YchlUJrBe4vgBHfYTpZ+Aw8Y4cYbVXS+5q9CeBuOWbsWKV3eQhbsHunXwq38e2pPwcOpxbk8E1aLrXtCLrqgDIJuRQW3MGWJ4FVN03/rJqHi5pwNCSHEphrh701B8vgHmGepI5R3LHBIc3e5dPOqcvXcePC+CnnMCQB8ecI0kNrFNK4rfOjLF/Wn8+x95w71EGnxask+io/NpQI6+1Y46V0+1O2EDKq6FpfeWZI/VX+3FVR95yj0Lgv3Ck5uQ9W3I3mkoBwD9/5eAAUnO6ni3GFMlTPMyY4tEuUNwLkX4fyo33yEIz6TIEq0dgr1+BC0Zg1AxcuADbOADraTpT7dYo3vLZ6cUZO9xyrCzxLpO/akWS8jM/DxWHkMP7PT9S1gRkugxZH4bImpArwly+KbdrOrgWOyPSxW7AMCbZJEimufnPLNqR4ql+svp079C33FpgwK6IVuA/dhafodHFNo++FJHKcwJfkjP4v/vhduaGvxPH38BjMrMfc0DRp7LHmXbxJKmC06byrNOegEezFrES5hvP/lbwLD6//WWVD7zlDkDh5x3wSZeXseYJF+fZZL/zylP4E3x2+ylB/QD4cl4qx/ZhK/4cL/pG0X2O56FMCGl1biEOq/xfuwSRR5ZJNC5aoRAUqbBdtERR8Yob7Yndbw+OtdhhCfdtAvpx4LWqa/IETd4p8RBk7RqU2QMRLkC1lqFKgMxyUACa3hd3ug7bBFzzrbxbIkGytCQbKezsJCw7kxEkV/W2GTCQPD7njlqHv+lD4CSQwzf7YjzybaHwz8+Oiq/2Y8p4TJYijsrso1bI90s/B+voOW6Q5yiktDLJzlwN9df7UXrHkj83hv/Iwf+EBOwitsiSvz9WCr89va9/jdL6Mh/dluIpiOMH8mZ6ZUwxXYAa3weRLEHZZUifbGmRCLLyabLlKalKLOGtwWgWYjAr/Sps/X0w+gW46QOw3los9RgHwFocXHAsz7wLJMuGYHNjkJNHIa5eglpegCqtyHgZat8IJC1ID5BDREQIgiQrTHQNlkCZLMA2WYpoYJvDMHS39x6EmZmGmzwKU9B/vLHSvokDBpIPXXOfFMDPCuHrFhjsyfmRDt9LBX59ely83JeHEsBDM25fYPBp5yx76bQ/3ZQeJlOs8N0qV/etLvZScDOtQJ3qV8nfA5fdp53F3wZwwNOKHFwBjs8Y4DcGjprTIwN9fBYyfhyC8XvGFAmKo0x0LkNmMZQbhaC1OFTRNuDzQlDkcyILi5FW48IIDPmLZW+WntYi526AnpfBcat7PbEVkHyiMEfOA5JMAiZqxnx32Jz2s7wAHTahIpkDJKtLqGNKX4/V/r59Yw2m5TxP0iQWJrgKuzgKO7YX2RXkvScK0mrekGdANSRpEYX78IRVeMK3ji2Vf7wrjD9pAf9bP3UEj0+3jspAf0pIMe7fNN2tXW9QW52X/KmvvvCA6EvJ35EZ9z5E+K+cwGO0itrACLypgH/20gHxVL9eHv05boXEXdByeoFi1VLMAigCIg0IWo08L0/LKaxFAqM+CLNwBVbMwgV1mDq7+b0A54UjytrolbbLhQrjzky8rHXfBxscV1uSq2g/iadcQdWvQ4VLUOkYZNL0lTaSQBmxH07xZoyLHreqBps42DZIMh6ZwQzvhyFI+rrt03Cnz8MOsrAFY2lhiL8JCaoSe+qPF7YQzO/jf39hDP+6b60avuTUYx/GlLH2w3DoKEX0ytumYp3TERdIhZHfee4wvtOPkr/D19y4Nvhb1uEnCAd0nwmO5Do4id8Z2od/eUaIpD8A1qej5sZD/owXGejjUxBzM1DpVch0KLcU0xaU0ZD1UUjbhLQUxiu8K28p1uDIF5ZkEGSwiymsqsP4bHQTdmgMpt2HnonMXLXbDZKV2GsG7gxw7AZJSrFPQEydzEsQJwA5PwtFlZ+6goollLcih/OFQQsyqkNYpiiYqShcbeU6QbJmYEgkj96EZd/bxjIsOyV29LwdILehvG0PX3WPOIn/kk0KC8fHxySFwIwz+F9e3Ce+3qfHFyeefath9h78uHD2EZ/3zZ/mDuEJKdw5O6S+2peSP+fUkWv4qzD4eQiwfKCUErNC4N8Kg994+S7xdr+uvy/HXSsDfQyy+RyUuRtyeBHKg+I4pLma84TpTZX0HFGDwzKgoryQgsCoExhyGBdjmHAUhp38aCicOd2RiR5YClz3XNxZ4OjdwkoZYimHxgQ1lX4OQy5ehqprqFBBpQJStqCzBqRpQgbSJyrKB9TFEZxs5u526mACB1uzMJcMTPA27NKDyEj/YdKmqA8t3e2Biq34RcGerfNerv/nILHXa0fmCSyC5DecxT99cY9gA8m+fCioIRJ8xhl7j2DrLSetUvJSjOWvnHtPo2jsu71DP3DFfeQdCPi7zuFwW19RwDqLF+DwT1452Md+4tt7KStHW7EWc6vxLCS5ikkEmTADfQCysQSV5daiB0UbF4LKxVEIjDKCZdkfEy+6RkI97BLBsQUTHYOpTcNOJz69l2fuO9oNDJb7fGe71b2urkvMwscipyEZfB4j7eeu3IoMZW5JBiJ/k5YAadjkit5VK397agub1WCSJdiwDtMwyN60sPUMZnQCZnY6p/+czpM1paIIsXZHElzXWhBs9jQ2hP/EOXzWiydQ+YcxyZy68q9chi/2s3XsIxfcwwLmA1Ko7z57H1u1bf/9O3LVvUda/D0n8ElP4CZfkaAIXLbAr1/Yhz8YOJewBMVcDbsDFEcCqHgRKmOyRUOZFlSUQLmG95ZkybFi7F0sw8kQVhnYVgqjQxgaB4vDMOpNWMYW6TF18RZvu4JOP941d57l2HGXOipsxMlCDm1pKNeLXAxyK5K8SCWhA5kDJOORYR3SzEOGFHGI4GLAESRpSabLsPV7kF55CzYagolHkUVnYUdHYWYrHMknOygM2/+Q92NBlMc8esVNBgp/5502sWzfmscic6Qit++fncvjkRUWYj/PZnuOzZK/4QB/C8DPUJ2/4kIzlvi7Cw5fnO2HWs/2nP7qo/TQVSxDSaTltJagh6MV97nGtU1wnIPCUKUxHhvlMbYYwYoluGAcWXMeNgyRhcMwc28VscUpmKJIokyhDSxrYyNTcoeDY4eb7cNZpP1QEm1mGooVAKNM1lyFivcWGW1akU0omUCbvQVARhAu8baESyKvHUkxC5stwZhJZNFCnt1umpz+M38Qxidtvgh3mhp1XygC1P4MBgsk3zfnPiQdfuEdsjM7E3K9SJfXbE9rgV89Mya+tZGFdlu3cU4cuYq/IoBfhAObh7VVcwTwVJbiVy8c6l/IoC/X3lXuV81Ak8DdSKAzFkRchWaihaDIBKR3odnkqvy0gJgxRRZEBDByATYOYcIDyBYzmDCFoS6qtxZLMvcAr+fNzMWdD47l3ejiRnrl8SJhQ9pP4zI0qwBaCko1oQMmbgiQQ5CBgAwICklO/6G0gGF5FBM2EWywDJNZmLSGLOoBkgNfs+2cenAOPymAn6dCH8GxyGqTRP5nJsI/nh4SM5tZeLdq26PX3ON8NVmHE0XVjU+4CIHz1uAfvTKo1Jy81alvS3B0DHJ5Dip9D+SIhiJ5mzHFKIU2I5BGejc6b9RGefw4f9H7l30I44Exg2llMEy6LJHUzdjiKExZLebDRZ+tdAHMI/MDFTLa7Jp794Bj9c6svHW9q00xC+pw7gPkIqDC16BDxmlG81hkHEPrBMrWIHUCiQgoLcks9LL3luAY2AIkM2R0t5MUGRWA5pswFLY4s2Kx8Gx2fG1p92I6esWNKoX/XACfdaTflPFI0mwcfnt+HL/5phDLm12E/dj+/kvuoNT4BxD4CUaAPSAyvigx5xx+/fxe/HbfaEr9uKAeGeiSlkNLMatBjWjIJISOrkGTq2glJBOPPgudQHjleLrPgb8XThkYgmOcwQQhsiXGGMtMdAzrpcXKhMuAcnpvZireneDo71hnPJJiFqywYcJm7yTk4nno+v48YbPcQsB4pJZQTNRYkYMksy0igkvyFg0eJBmPNIzVGGRZHRnpP+RILqQwQ0swFeXjlQzfgLnaR6+7B7TEfwOLj3oCeU4UZkzysrD4tRfH8Xu3K3xw3Lmwdd1buH8H1lfUexea9CAI/F9NjX/yxijfhQP0qSZbrr3TMehjEMxAN+eh0kmoobegs71FooUxxRQ6pAtN9gWtxYRd0HNLkVZiQje6AEWdImM2mpnosIHMq3RPw10YgakIRQzci3w7ZvddDI4VgKS4LqsHnoCYKtozsLpm7ir0sIRcpputoRXjOEOQKoUOal5k1wMk38pIgKwBI2M4b0UGyNKaF7TIjEXGeCQz29dey0mzY3OwHSTyAXRTHrrmTjqBv5u3Zs9J5P6FATxvgP9helz8xXYs0o0e48hVx9ann/etbOk2Fu1PBfCtd375/Mt9bGW70XPc1HZVa5Eu9IEKLSeA8lzFACpJEUQExSSnqHlQTIu5COG4NkWQxxWTAEYbZDqCiQ3McoxMF5nokSFkPek5A/by3tQ9vsHG73JwLO7MWtxIQI5eglpcgq6HUPG4p/rooAUlJXSWQOlabknaxGe2kYZwSQwnW7DBiO+/nKUWJqohu2q9RelBcmICGWu2p496PdeyFHHgqgoocrv4AH6aUl4ARovMds6xc/hDmeEfvTDRn9YE5bo+PO8eCgz+Rwd8vKAceSkx5/AmHH7l5f3i32zXA3PLjlPlK56FooRY8iBkSctJIuiMVLQEOmBssQTFMrZYnKhkkqW0FsnPHUMWX0cWTuRrkZnoxjG+14uwT7Wd8QC+sLdzfnbBsTsWyd/LCpsRiLkpSKr9LM5DDR8oEjYSWsQIfEZ7CNL/yyw3IOKiFNG7MM672D6ekzmYdAkmM8hqKbLhSWTNS0Vm+yzsxNuwpwZEBLTXAnxo3u2DxS84tkjKtb9z/UjKe1j8Znwdv7ndrRpY8hcI/AMH/A2vel640M75cvnfiPfgf+1nu9rtfBDzSE9nAYMP9UxBLl+EIoGbtJzkCnS011uMBERtFVRAi5FaAWkhd5SnSlwawPi4ooFRGUwSIAtiZJ63WMYWz8F2uNB3IJl7q/O0C46r7lwPbmRRYTNah1qmO7MXcvEtBHtGPIFcSwGdLkArkSuZ2MWi0oaF3cOwHiSdz24bGyIzS97lzuomd7fHYmRzh2CY5/GZ7arQ7oC5NEcX3LF3CMT/PYAf7FD9AS4KiV8+Nyr+YKuLtb2fc+qBOfyscPglABSvKKk5tMB/31l8/uV94vWbHudWHaCbr/gExFFSzbTv4a4bh6HpPteYiVbQAV/GDShzJQ/veFAMAZdC+GTLPFyqYbIGMrkEE2hkcYSMGekwgWnVkfq2xZQV+xGYQth5YIVU+jVNu+C41p2t8MhKSbSyhw25kVQeJ+1n+QqC0QA6GYbWAooAafiTQnHBarqXS4AJYFUAY1ow3t1eRmb3Io0uwpgYGSXSfNLmEExbQ3KA+WTvnXM/Jh3+oQMmixJEL4/G+J9Q+KUXh8X3trKoj15zn3xHbvV/ZuFau+Qvz0Q/LzX+/rlR8edbOe5t2ae7Z8spSGorLrEG+hIUXeiEluFlBMmYD+PoIIO2dUh9DZrsibawBHslBbApG8ox3m1gCIypQkrPJUgLa3ERZmgKhm2KT68oc9+RFS43O6e74LiRO1jGfyq8stZRyLHZ/G2ulqGXQgRKQafSA6SWab54ZVqob3MVB3BZ4jPbnhfJRcuYJBM2JkLasjD1FNnS/o6a7YGVR6PIbbTXZ47/tgMavr927v4ya/N/Golf2Wjr2Ieb7r40xq8K4D8o44oQHhQvO4Ffnh7Db/VDrWcjy2NL23Qp5lRBkVbi0DJ0GkMHBoGZgPJxxUVoTWoOixIKF9rzFQmKC3ByCBnd6EAjnQuRqTmYZhMZ15kXiihd6Kqk2Ls8rnijudsFx42u7K540PGzUHzDe0m0y1Bh4BeubhXxSNJ+RIqAiZt2VrsQtcj4lne+IiGju01wDAmQBMoa0paBaaTI5mKYsUmYVaonA+ZqPzzrDpkQ/1A4/GTZ8KuISS46i18L38RvrtWq4W7nhhrz+PuAr9KJ2iV/QCKAL6YOv9JP7cmNLo8Nb9e5jiTZEVdOQTUZRxyCGp6ASprQUQydBAjIkrACSmdQNs0z0X4sLrwhWBHDZtrHFr21qFJkSYIsHEdapefMzMN4zuIdJCm24Xu+xQ13wXGzN67COZs6kjf6oj7e2CRUcD13tXUTWo1AxzEC1mzTiqSrrQqOZDlkAZDGA2QLxgZICZDkSLoa0jhDVi1H9CTyAV7cD153H4TALzvgA0UCJefhAa8I4Je+Pyb+pDod75tzf805/E8QOTWnElv8Uyj84ksj4oXNTt9t3b6agT4NycoWeiAtVmcxnkjKWIKAyZZAQZOvSG/EZlAuhAjSvOwv5ctV+1i2yTQytQyTMtmSIktDH0/MKBTB0j9ya6fninYFAyzQfDvmbRcct3LXq3Wt8NxIeeUCFCXRyI2k2k+z4EYKlQNkKqHrKXQmoEj9YWY7zcf2ViR/WhZZUFiQBMqoAMl2zXYTZt9hmNOn4HCyUP8ZNLfIOfG+efzVdzog/HdwOFRUbfjM9jsqOV+GxN9zBnUB/BoEPlpSg/IiF0xD4BenR8UfbmXabts+pbVIFsQRSExBTD4NFY9BZYdyF5pcxbHA03N0liGg+2wyaMeCA0rHpXlYJuVaYVxRIyPzIcuQaY00YVyxjmzpMky4iKytnsN66FnfSTNPuAyY13Hb5qwSzL2d5zCYY1drtZ+E9FZkHYKu9tJZ6LFjkNE8tGghkBpBIqGHUui05he/VmwnG67QL+hqZ7mghdEWWStAyn9LV5uZ7WQM2cJFmD2HkHkl8m45+gFa+Aeda4zP4xes8yK7tVL1h3FE56AhKnQgqnEL/ApG8E+nhYgHZsFUXOiylp8v0Wbd1z/rRgil5xGmY7mlSCuRgMgfWosBy/5CCIKiSApgpIdRQ+rd6ABZmCBN9yGNMmQLGUwU5/XQbf5smdQbtJfoDpjkXcvxZiehi4Zx8olc8YeNvmZnoYMgd7VVK0/YQCFgLNLUoNJlBLoBqTJf0eAfArpLyymcbnmLILMEyBAZQiTGIB0i/WccZvgiDOk/hdDuwCZtHrrmDhuJXxYOP9Fu9lWI7BZT87ta4799odFfIvnNLoOO/XvEp9ndb+ESdGMJOgmhIq6LDCFBUS4jIGex6kKzbt1TcxQMgZEJPKWQmSGkrHDJMqThNWTpONLlIWS1lv+x0TNwZ54oCgtKzuIAvTS3dR5u8mC74HiTN7C9e7e4bkHgJYF8LipcbT4ALQTD+6HjOQRCIqAVKRlwZw+jsnVsChAkGYtkGWLT5e62M0hdhNRYpI0RZK1ZmDJps0r5Z8AeiPcuuE8Ig3/sgEepQC6A7zjgv35pTHxzu6ao78epUnM+yc48EEfZ3O1iTstpBtAx6/RTBKWlmJk87OJd6Ch/SSLIA4vS5v27mbCzEmnKsr8UaaiQpgHS2iSyhUsw9YMw+1CEW6ouNC94wNZB3+doEwPsguMmbtaGN61Qf46fhFwqyhBJII80NOOQdLNrCULGmvhwCJFnJZm0cUHe+Y00DathWAJm4zxh4yzSYAmZY/KmhjTJkA3vQTYPmEZZaZM/ILkQ6SA9HF9y6n0/jJ+l/vr3x/E7g3PuXR3+ChI3ZcSS+6DKZIvKEGYagTIILC1Gg4DcWGugOOdBAKQERcDSYlQW2XLLW4xpoJCaFGmcIqtppHSflxq5tTjoJagbfq5u8Ya74NivG16RRWOy4TgFLZjVjqCaGmpPC8HyGAJfhpgiIGC+U0GiTQjFeJPMfMwtjxTRimQHU8YjW8jcEBLrvBxaupAh9dJoMTI+LPUyabPSruFdqajSr2ldddwqXzGfZ8l5jiOoBosDmJgLECQJAmURku5Fa9GDIjmxBgy2+IaHaQpHUDQWRjKkkuWxRTOMJM2QMhu93EIWjMBwni8chsEgJ+du2SRtbaBdcNzafdvgXl2yaEUfm+UG1MghqOacD8QHqgBINQTtXW0BLZoI6G6DVmRB4fAVIXVkMoZxATLbREoL0tLVns+tisYk0gXADAFm+nQXhWOQrMgN3uHbtlk1A130bJkc9RJisnENOtZeoCRIOL9LCIuYovcS+PLz3MWyDj+FM2xiFeecV62QMhNtFJIy4bLMrHQG05hARg/hTHdjq9253falsAuO235Lexywqsc3AUFXe+5pqLGjuRUZUg6NCZthaFe42lJ5cPSZbVI5ynik0LkUl01ytyseQhpapJY/GVKTIc1qSD2JfMInbEwhsuva7Rp2H6Sbm/VqxdRJiMPMQFNbcQiqXkfAggClEaQpgozz2ERoa3kNvmtB6aDdpsAJAmPhQhuVz2Gmker830RfhVkOkdUayHY5izc3bZvdexccN3vHbmb7CgmYCuTMavsyRNZqX8+zlYsxQlJ/WILIHHUqEUgDLUMo0n9cBkmAJPVHpLklSReb7nZLIyFQMnHD+NRQjCxtIFsqrA322D75jrv9+ZXuiHe81P3NTFfHvtVkyzEIUrcojkwvoBVBU3A2qCNIQgSa85flwGhq0FETgQshGVtE9g4Nni84gmKETDlkWQwTSCRWIWHShdZithdJjfSctOJC5/M2uO1/t20ybs2BdsHx1tznzlGqCZsDkKR5MKM5tAQd1aDVeJ7QidFuAAAU7ElEQVS0aSUIJS2OFEGaIRAZAkWQpCVJkHRwhpUSgIk1Mk05Ko3UNZE2NZIaQbKatLlQtNXMGyXtPmQbnfuul9psGVechKq/hiAMoWPOUYBwyCAkKKpaHhphXNEx4cLUGEFRw4qkUGnKs9CeohXy3xRpWeHC+DFdaKpyVypcBi/JttF7vAO32wXH2zEpXWosJwE5exZy4pj/V9cOQS3R1ZYI6GZLmQNjIv1/a0n6T564yUUcNJwh5QMwVnvaTxo4L2TBcsS0niHx5YijyJYvIiuVfyo9tgtVlju7YdKmp7ozroiynn7xHAJqK4YRdMxkS4qwTlDUCKRCyPmxFtrVIZ3x1r4QKi/3449Rnr9KvmK6rJCULnRUQ7qcIis7/vlqqGpizU/27hxteh63uMMuOG7xxm3bbl31tmyaNEGwnIVeCqDDnBwcIEGIFKGsM0WDwAjosIXABrkV6TOeWW5JejebvEhakQES10LqShL5MFJ2dPBJm+l2T5sVEvnuw9fZX6hLRqwRQrfIVQwQqARBEiCUBiFfZIIUHSZcCkoWXWjPNHBePciQ0K/pPts84UJrcSHIky71JtKFEZhLTRiwsdWKdU9AHKj+4Nv2bNzmA+2C422egPbwKyRyKrXIuZI8fAgqnMvd7OUEIYEyShGi5gnk/oEk/cdTf1h0l3/e0Xv14r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",SK="data:image/png;base64,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Ie=0,ze=null;if((Le.code===19||Le.message==="network error")&&(this._contentLength===null||this._contentLength!==null&&this._receivedLength<this._contentLength)?(Ie=de.EARLY_EOF,ze={code:Le.code,msg:"Fetch stream meet Early-EOF"}):(Ie=de.EXCEPTION,ze={code:Le.code,msg:Le.message}),this._onError)this._onError(Ie,ze);else throw new we(ze.msg)})}}var he=ce;class ie extends ee{static isSupported(){try{let Ae=new XMLHttpRequest;return Ae.open("GET","https://example.com",!0),Ae.responseType="moz-chunked-arraybuffer",Ae.responseType==="moz-chunked-arraybuffer"}catch(Ae){return Ce.w("MozChunkedLoader",Ae.message),!1}}constructor(Ae,Le){super("xhr-moz-chunked-loader"),this.TAG="MozChunkedLoader",this._seekHandler=Ae,this._config=Le,this._needStash=!0,this._xhr=null,this._requestAbort=!1,this._contentLength=null,this._receivedLength=0}destroy(){this.isWorking()&&this.abort(),this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onloadend=null,this._xhr.onerror=null,this._xhr=null),super.destroy()}open(Ae,Le){this._dataSource=Ae,this._range=Le;let Ie=Ae.url;this._config.reuseRedirectedURL&&Ae.redirectedURL!=null&&(Ie=Ae.redirectedURL);let ze=this._seekHandler.getConfig(Ie,Le);this._requestURL=ze.url;let Ze=this._xhr=new XMLHttpRequest;if(Ze.open("GET",ze.url,!0),Ze.responseType="moz-chunked-arraybuffer",Ze.onreadystatechange=this._onReadyStateChange.bind(this),Ze.onprogress=this._onProgress.bind(this),Ze.onloadend=this._onLoadEnd.bind(this),Ze.onerror=this._onXhrError.bind(this),Ae.withCredentials&&(Ze.withCredentials=!0),typeof ze.headers=="object"){let xt=ze.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Ze.setRequestHeader(bt,xt[bt])}if(typeof this._config.headers=="object"){let xt=this._config.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Ze.setRequestHeader(bt,xt[bt])}this._status=Pe.kConnecting,Ze.send()}abort(){this._requestAbort=!0,this._xhr&&this._xhr.abort(),this._status=Pe.kComplete}_onReadyStateChange(Ae){let Le=Ae.target;if(Le.readyState===2){if(Le.responseURL!=null&&Le.responseURL!==this._requestURL&&this._onURLRedirect){let Ie=this._seekHandler.removeURLParameters(Le.responseURL);this._onURLRedirect(Ie)}if(Le.status!==0&&(Le.status<200||Le.status>299))if(this._status=Pe.kError,this._onError)this._onError(de.HTTP_STATUS_CODE_INVALID,{code:Le.status,msg:Le.statusText});else throw new we("MozChunkedLoader: Http code invalid, "+Le.status+" "+Le.statusText);else this._status=Pe.kBuffering}}_onProgress(Ae){if(this._status===Pe.kError)return;this._contentLength===null&&Ae.total!==null&&Ae.total!==0&&(this._contentLength=Ae.total,this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength));let Le=Ae.target.response,Ie=this._range.from+this._receivedLength;this._receivedLength+=Le.byteLength,this._onDataArrival&&this._onDataArrival(Le,Ie,this._receivedLength)}_onLoadEnd(Ae){if(this._requestAbort===!0){this._requestAbort=!1;return}else if(this._status===Pe.kError)return;this._status=Pe.kComplete,this._onComplete&&this._onComplete(this._range.from,this._range.from+this._receivedLength-1)}_onXhrError(Ae){this._status=Pe.kError;let Le=0,Ie=null;if(this._contentLength&&Ae.loaded<this._contentLength?(Le=de.EARLY_EOF,Ie={code:-1,msg:"Moz-Chunked stream meet Early-Eof"}):(Le=de.EXCEPTION,Ie={code:-1,msg:Ae.constructor.name+" "+Ae.type}),this._onError)this._onError(Le,Ie);else throw new we(Ie.msg)}}var ue=ie;class ve extends null{static isSupported(){try{if(typeof self.MSStream=="undefined"||typeof self.MSStreamReader=="undefined")return!1;let Ae=new XMLHttpRequest;return Ae.open("GET","https://example.com",!0),Ae.responseType="ms-stream",Ae.responseType==="ms-stream"}catch(Ae){return Log.w("MSStreamLoader",Ae.message),!1}}constructor(Ae,Le){super("xhr-msstream-loader"),this.TAG="MSStreamLoader",this._seekHandler=Ae,this._config=Le,this._needStash=!0,this._xhr=null,this._reader=null,this._totalRange=null,this._currentRange=null,this._currentRequestURL=null,this._currentRedirectedURL=null,this._contentLength=null,this._receivedLength=0,this._bufferLimit=16*1024*1024,this._lastTimeBufferSize=0,this._isReconnecting=!1}destroy(){this.isWorking()&&this.abort(),this._reader&&(this._reader.onprogress=null,this._reader.onload=null,this._reader.onerror=null,this._reader=null),this._xhr&&(this._xhr.onreadystatechange=null,this._xhr=null),super.destroy()}open(Ae,Le){this._internalOpen(Ae,Le,!1)}_internalOpen(Ae,Le,Ie){this._dataSource=Ae,Ie?this._currentRange=Le:this._totalRange=Le;let ze=Ae.url;this._config.reuseRedirectedURL&&(this._currentRedirectedURL!=null?ze=this._currentRedirectedURL:Ae.redirectedURL!=null&&(ze=Ae.redirectedURL));let Ze=this._seekHandler.getConfig(ze,Le);this._currentRequestURL=Ze.url;let xt=this._reader=new self.MSStreamReader;xt.onprogress=this._msrOnProgress.bind(this),xt.onload=this._msrOnLoad.bind(this),xt.onerror=this._msrOnError.bind(this);let bt=this._xhr=new XMLHttpRequest;if(bt.open("GET",Ze.url,!0),bt.responseType="ms-stream",bt.onreadystatechange=this._xhrOnReadyStateChange.bind(this),bt.onerror=this._xhrOnError.bind(this),Ae.withCredentials&&(bt.withCredentials=!0),typeof Ze.headers=="object"){let Yt=Ze.headers;for(let Ht in Yt)Yt.hasOwnProperty(Ht)&&bt.setRequestHeader(Ht,Yt[Ht])}if(typeof this._config.headers=="object"){let Yt=this._config.headers;for(let Ht in Yt)Yt.hasOwnProperty(Ht)&&bt.setRequestHeader(Ht,Yt[Ht])}this._isReconnecting?this._isReconnecting=!1:this._status=LoaderStatus.kConnecting,bt.send()}abort(){this._internalAbort(),this._status=LoaderStatus.kComplete}_internalAbort(){this._reader&&(this._reader.readyState===1&&this._reader.abort(),this._reader.onprogress=null,this._reader.onload=null,this._reader.onerror=null,this._reader=null),this._xhr&&(this._xhr.abort(),this._xhr.onreadystatechange=null,this._xhr=null)}_xhrOnReadyStateChange(Ae){let Le=Ae.target;if(Le.readyState===2)if(Le.status>=200&&Le.status<=299){if(this._status=LoaderStatus.kBuffering,Le.responseURL!=null){let ze=this._seekHandler.removeURLParameters(Le.responseURL);Le.responseURL!==this._currentRequestURL&&ze!==this._currentRedirectedURL&&(this._currentRedirectedURL=ze,this._onURLRedirect&&this._onURLRedirect(ze))}let Ie=Le.getResponseHeader("Content-Length");if(Ie!=null&&this._contentLength==null){let ze=parseInt(Ie);ze>0&&(this._contentLength=ze,this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength))}}else if(this._status=LoaderStatus.kError,this._onError)this._onError(LoaderErrors.HTTP_STATUS_CODE_INVALID,{code:Le.status,msg:Le.statusText});else throw new RuntimeException("MSStreamLoader: Http code invalid, "+Le.status+" "+Le.statusText);else if(Le.readyState===3&&Le.status>=200&&Le.status<=299){this._status=LoaderStatus.kBuffering;let Ie=Le.response;this._reader.readAsArrayBuffer(Ie)}}_xhrOnError(Ae){this._status=LoaderStatus.kError;let Le=LoaderErrors.EXCEPTION,Ie={code:-1,msg:Ae.constructor.name+" "+Ae.type};if(this._onError)this._onError(Le,Ie);else throw new RuntimeException(Ie.msg)}_msrOnProgress(Ae){let Ie=Ae.target.result;if(Ie==null){this._doReconnectIfNeeded();return}let ze=Ie.slice(this._lastTimeBufferSize);this._lastTimeBufferSize=Ie.byteLength;let Ze=this._totalRange.from+this._receivedLength;this._receivedLength+=ze.byteLength,this._onDataArrival&&this._onDataArrival(ze,Ze,this._receivedLength),Ie.byteLength>=this._bufferLimit&&(Log.v(this.TAG,`MSStream buffer exceeded max size near ${Ze+ze.byteLength}, reconnecting...`),this._doReconnectIfNeeded())}_doReconnectIfNeeded(){if(this._contentLength==null||this._receivedLength<this._contentLength){this._isReconnecting=!0,this._lastTimeBufferSize=0,this._internalAbort();let Ae={from:this._totalRange.from+this._receivedLength,to:-1};this._internalOpen(this._dataSource,Ae,!0)}}_msrOnLoad(Ae){this._status=LoaderStatus.kComplete,this._onComplete&&this._onComplete(this._totalRange.from,this._totalRange.from+this._receivedLength-1)}_msrOnError(Ae){this._status=LoaderStatus.kError;let Le=0,Ie=null;if(this._contentLength&&this._receivedLength<this._contentLength?(Le=LoaderErrors.EARLY_EOF,Ie={code:-1,msg:"MSStream meet Early-Eof"}):(Le=LoaderErrors.EARLY_EOF,Ie={code:-1,msg:Ae.constructor.name+" "+Ae.type}),this._onError)this._onError(Le,Ie);else throw new RuntimeException(Ie.msg)}}var be=null;class De extends ee{static isSupported(){try{let Ae=new XMLHttpRequest;return Ae.open("GET","https://example.com",!0),Ae.responseType="arraybuffer",Ae.responseType==="arraybuffer"}catch(Ae){return Ce.w("RangeLoader",Ae.message),!1}}constructor(Ae,Le){super("xhr-range-loader"),this.TAG="RangeLoader",this._seekHandler=Ae,this._config=Le,this._needStash=!1,this._chunkSizeKBList=[128,256,384,512,768,1024,1536,2048,3072,4096,5120,6144,7168,8192],this._currentChunkSizeKB=384,this._currentSpeedNormalized=0,this._zeroSpeedChunkCount=0,this._xhr=null,this._speedSampler=new ye,this._requestAbort=!1,this._waitForTotalLength=!1,this._totalLengthReceived=!1,this._currentRequestURL=null,this._currentRedirectedURL=null,this._currentRequestRange=null,this._totalLength=null,this._contentLength=null,this._receivedLength=0,this._lastTimeLoaded=0}destroy(){this.isWorking()&&this.abort(),this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onload=null,this._xhr.onerror=null,this._xhr=null),super.destroy()}get currentSpeed(){return this._speedSampler.lastSecondKBps}open(Ae,Le){this._dataSource=Ae,this._range=Le,this._status=Pe.kConnecting;let Ie=!1;this._dataSource.filesize!=null&&this._dataSource.filesize!==0&&(Ie=!0,this._totalLength=this._dataSource.filesize),!this._totalLengthReceived&&!Ie?(this._waitForTotalLength=!0,this._internalOpen(this._dataSource,{from:0,to:-1})):this._openSubRange()}_openSubRange(){let Ae=this._currentChunkSizeKB*1024,Le=this._range.from+this._receivedLength,Ie=Le+Ae;this._contentLength!=null&&Ie-this._range.from>=this._contentLength&&(Ie=this._range.from+this._contentLength-1),this._currentRequestRange={from:Le,to:Ie},this._internalOpen(this._dataSource,this._currentRequestRange)}_internalOpen(Ae,Le){this._lastTimeLoaded=0;let Ie=Ae.url;this._config.reuseRedirectedURL&&(this._currentRedirectedURL!=null?Ie=this._currentRedirectedURL:Ae.redirectedURL!=null&&(Ie=Ae.redirectedURL));let ze=this._seekHandler.getConfig(Ie,Le);this._currentRequestURL=ze.url;let Ze=this._xhr=new XMLHttpRequest;if(Ze.open("GET",ze.url,!0),Ze.responseType="arraybuffer",Ze.onreadystatechange=this._onReadyStateChange.bind(this),Ze.onprogress=this._onProgress.bind(this),Ze.onload=this._onLoad.bind(this),Ze.onerror=this._onXhrError.bind(this),Ae.withCredentials&&(Ze.withCredentials=!0),typeof ze.headers=="object"){let xt=ze.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Ze.setRequestHeader(bt,xt[bt])}if(typeof this._config.headers=="object"){let xt=this._config.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Ze.setRequestHeader(bt,xt[bt])}Ze.send()}abort(){this._requestAbort=!0,this._internalAbort(),this._status=Pe.kComplete}_internalAbort(){this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onload=null,this._xhr.onerror=null,this._xhr.abort(),this._xhr=null)}_onReadyStateChange(Ae){let Le=Ae.target;if(Le.readyState===2){if(Le.responseURL!=null){let Ie=this._seekHandler.removeURLParameters(Le.responseURL);Le.responseURL!==this._currentRequestURL&&Ie!==this._currentRedirectedURL&&(this._currentRedirectedURL=Ie,this._onURLRedirect&&this._onURLRedirect(Ie))}if(Le.status>=200&&Le.status<=299){if(this._waitForTotalLength)return;this._status=Pe.kBuffering}else if(this._status=Pe.kError,this._onError)this._onError(de.HTTP_STATUS_CODE_INVALID,{code:Le.status,msg:Le.statusText});else throw new we("RangeLoader: Http code invalid, "+Le.status+" "+Le.statusText)}}_onProgress(Ae){if(this._status===Pe.kError)return;if(this._contentLength===null){let Ie=!1;if(this._waitForTotalLength){this._waitForTotalLength=!1,this._totalLengthReceived=!0,Ie=!0;let ze=Ae.total;this._internalAbort(),ze!=null&ze!==0&&(this._totalLength=ze)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,Ie){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let Le=Ae.loaded-this._lastTimeLoaded;this._lastTimeLoaded=Ae.loaded,this._speedSampler.addBytes(Le)}_normalizeSpeed(Ae){let Le=this._chunkSizeKBList,Ie=Le.length-1,ze=0,Ze=0,xt=Ie;if(Ae<Le[0])return Le[0];for(;Ze<=xt;){if(ze=Ze+Math.floor((xt-Ze)/2),ze===Ie||Ae>=Le[ze]&&Ae<Le[ze+1])return Le[ze];Le[ze]<Ae?Ze=ze+1:xt=ze-1}}_onLoad(Ae){if(this._status===Pe.kError)return;if(this._waitForTotalLength){this._waitForTotalLength=!1;return}this._lastTimeLoaded=0;let Le=this._speedSampler.lastSecondKBps;if(Le===0&&(this._zeroSpeedChunkCount++,this._zeroSpeedChunkCount>=3&&(Le=this._speedSampler.currentKBps)),Le!==0){let xt=this._normalizeSpeed(Le);this._currentSpeedNormalized!==xt&&(this._currentSpeedNormalized=xt,this._currentChunkSizeKB=xt)}let Ie=Ae.target.response,ze=this._range.from+this._receivedLength;this._receivedLength+=Ie.byteLength;let Ze=!1;this._contentLength!=null&&this._receivedLength<this._contentLength?this._openSubRange():Ze=!0,this._onDataArrival&&this._onDataArrival(Ie,ze,this._receivedLength),Ze&&(this._status=Pe.kComplete,this._onComplete&&this._onComplete(this._range.from,this._range.from+this._receivedLength-1))}_onXhrError(Ae){this._status=Pe.kError;let Le=0,Ie=null;if(this._contentLength&&this._receivedLength>0&&this._receivedLength<this._contentLength?(Le=de.EARLY_EOF,Ie={code:-1,msg:"RangeLoader meet Early-Eof"}):(Le=de.EXCEPTION,Ie={code:-1,msg:Ae.constructor.name+" "+Ae.type}),this._onError)this._onError(Le,Ie);else throw new we(Ie.msg)}}var Re=De;class Be extends ee{static isSupported(){try{return typeof self.WebSocket!="undefined"}catch(Ae){return!1}}constructor(){super("websocket-loader"),this.TAG="WebSocketLoader",this._needStash=!0,this._ws=null,this._requestAbort=!1,this._receivedLength=0}destroy(){this._ws&&this.abort(),super.destroy()}open(Ae){try{let Le=this._ws=new self.WebSocket(Ae.url);Le.binaryType="arraybuffer",Le.onopen=this._onWebSocketOpen.bind(this),Le.onclose=this._onWebSocketClose.bind(this),Le.onmessage=this._onWebSocketMessage.bind(this),Le.onerror=this._onWebSocketError.bind(this),this._status=Pe.kConnecting}catch(Le){this._status=Pe.kError;let Ie={code:Le.code,msg:Le.message};if(this._onError)this._onError(de.EXCEPTION,Ie);else throw new we(Ie.msg)}}abort(){let Ae=this._ws;Ae&&(Ae.readyState===0||Ae.readyState===1)&&(this._requestAbort=!0,Ae.close()),this._ws=null,this._status=Pe.kComplete}_onWebSocketOpen(Ae){this._status=Pe.kBuffering}_onWebSocketClose(Ae){if(this._requestAbort===!0){this._requestAbort=!1;return}this._status=Pe.kComplete,this._onComplete&&this._onComplete(0,this._receivedLength-1)}_onWebSocketMessage(Ae){if(Ae.data instanceof ArrayBuffer)this._dispatchArrayBuffer(Ae.data);else if(Ae.data instanceof Blob){let Le=new FileReader;Le.onload=()=>{this._dispatchArrayBuffer(Le.result)},Le.readAsArrayBuffer(Ae.data)}else{this._status=Pe.kError;let Le={code:-1,msg:"Unsupported WebSocket message type: "+Ae.data.constructor.name};if(this._onError)this._onError(de.EXCEPTION,Le);else throw new we(Le.msg)}}_dispatchArrayBuffer(Ae){let Le=Ae,Ie=this._receivedLength;this._receivedLength+=Le.byteLength,this._onDataArrival&&this._onDataArrival(Le,Ie,this._receivedLength)}_onWebSocketError(Ae){this._status=Pe.kError;let Le={code:Ae.code,msg:Ae.message};if(this._onError)this._onError(de.EXCEPTION,Le);else throw new we(Le.msg)}}var Ue=Be;class Ge{constructor(Ae){this._zeroStart=Ae||!1}getConfig(Ae,Le){let Ie={};if(Le.from!==0||Le.to!==-1){let ze;Le.to!==-1?ze=`bytes=${Le.from.toString()}-${Le.to.toString()}`:ze=`bytes=${Le.from.toString()}-`,Ie.Range=ze}else this._zeroStart&&(Ie.Range="bytes=0-");return{url:Ae,headers:Ie}}removeURLParameters(Ae){return Ae}}var Xe=Ge;class Ye{constructor(Ae,Le){this._startName=Ae,this._endName=Le}getConfig(Ae,Le){let Ie=Ae;if(Le.from!==0||Le.to!==-1){let ze=!0;Ie.indexOf("?")===-1&&(Ie+="?",ze=!1),ze&&(Ie+="&"),Ie+=`${this._startName}=${Le.from.toString()}`,Le.to!==-1&&(Ie+=`&${this._endName}=${Le.to.toString()}`)}return{url:Ie,headers:{}}}removeURLParameters(Ae){let Le=Ae.split("?")[0],Ie,ze=Ae.indexOf("?");ze!==-1&&(Ie=Ae.substring(ze+1));let Ze="";if(Ie!=null&&Ie.length>0){let xt=Ie.split("&");for(let bt=0;bt<xt.length;bt++){let Yt=xt[bt].split("="),Ht=bt>0;Yt[0]!==this._startName&&Yt[0]!==this._endName&&(Ht&&(Ze+="&"),Ze+=xt[bt])}}return Ze.length===0?Le:Le+"?"+Ze}}var nt=Ye;class $e{constructor(Ae,Le,Ie){this.TAG="IOController",this._config=Le,this._extraData=Ie,this._stashInitialSize=1024*384,Le.stashInitialSize!=null&&Le.stashInitialSize>0&&(this._stashInitialSize=Le.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,Le.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=Ae,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(Ae.url),this._refTotalLength=Ae.filesize?Ae.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new ye,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(Ae){this._extraData=Ae}get onDataArrival(){return this._onDataArrival}set onDataArrival(Ae){this._onDataArrival=Ae}get onSeeked(){return this._onSeeked}set onSeeked(Ae){this._onSeeked=Ae}get onError(){return this._onError}set onError(Ae){this._onError=Ae}get onComplete(){return this._onComplete}set onComplete(Ae){this._onComplete=Ae}get onRedirect(){return this._onRedirect}set onRedirect(Ae){this._onRedirect=Ae}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(Ae){this._onRecoveredEarlyEof=Ae}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===Re?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let Ae=this._config;if(Ae.seekType==="range")this._seekHandler=new Xe(this._config.rangeLoadZeroStart);else if(Ae.seekType==="param"){let Le=Ae.seekParamStart||"bstart",Ie=Ae.seekParamEnd||"bend";this._seekHandler=new nt(Le,Ie)}else if(Ae.seekType==="custom"){if(typeof Ae.customSeekHandler!="function")throw new pe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new Ae.customSeekHandler}else throw new pe(`Invalid seekType in config: ${Ae.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=Ue;else if(he.isSupported())this._loaderClass=he;else if(ue.isSupported())this._loaderClass=ue;else if(Re.isSupported())this._loaderClass=Re;else throw new we("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(Ae){this._currentRange={from:0,to:-1},Ae&&(this._currentRange.from=Ae),this._speedSampler.reset(),Ae||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let Ae=this._resumeFrom;this._resumeFrom=0,this._internalSeek(Ae,!0)}}seek(Ae){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(Ae,!0)}_internalSeek(Ae,Le){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(Le),this._loader.destroy(),this._loader=null;let Ie={from:Ae,to:-1};this._currentRange={from:Ie.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,Ie),this._onSeeked&&this._onSeeked()}updateUrl(Ae){if(!Ae||typeof Ae!="string"||Ae.length===0)throw new pe("Url must be a non-empty string!");this._dataSource.url=Ae}_expandBuffer(Ae){let Le=this._stashSize;for(;Le+1024*1024*1<Ae;)Le*=2;if(Le+=1024*1024*1,Le===this._bufferSize)return;let Ie=new ArrayBuffer(Le);if(this._stashUsed>0){let ze=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(Ie,0,Le).set(ze,0)}this._stashBuffer=Ie,this._bufferSize=Le}_normalizeSpeed(Ae){let Le=this._speedNormalizeList,Ie=Le.length-1,ze=0,Ze=0,xt=Ie;if(Ae<Le[0])return Le[0];for(;Ze<=xt;){if(ze=Ze+Math.floor((xt-Ze)/2),ze===Ie||Ae>=Le[ze]&&Ae<Le[ze+1])return Le[ze];Le[ze]<Ae?Ze=ze+1:xt=ze-1}}_adjustStashSize(Ae){let Le=0;this._config.isLive||Ae<512?Le=Ae:Ae>=512&&Ae<=1024?Le=Math.floor(Ae*1.5):Le=Ae*2,Le>8192&&(Le=8192);let Ie=Le*1024+1024*1024*1;this._bufferSize<Ie&&this._expandBuffer(Ie),this._stashSize=Le*1024}_dispatchChunks(Ae,Le){return this._currentRange.to=Le+Ae.byteLength-1,this._onDataArrival(Ae,Le)}_onURLRedirect(Ae){this._redirectedURL=Ae,this._onRedirect&&this._onRedirect(Ae)}_onContentLengthKnown(Ae){Ae&&this._fullRequestFlag&&(this._totalLength=Ae,this._fullRequestFlag=!1)}_onLoaderChunkArrival(Ae,Le,Ie){if(!this._onDataArrival)throw new Me("IOController: No existing consumer (onDataArrival) callback!");if(this._paused)return;this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,this._onRecoveredEarlyEof&&this._onRecoveredEarlyEof()),this._speedSampler.addBytes(Ae.byteLength);let ze=this._speedSampler.lastSecondKBps;if(ze!==0){let Ze=this._normalizeSpeed(ze);this._speedNormalized!==Ze&&(this._speedNormalized=Ze,this._adjustStashSize(Ze))}if(this._enableStash)if(this._stashUsed===0&&this._stashByteStart===0&&(this._stashByteStart=Le),this._stashUsed+Ae.byteLength<=this._stashSize)new Uint8Array(this._stashBuffer,0,this._stashSize).set(new Uint8Array(Ae),this._stashUsed),this._stashUsed+=Ae.byteLength;else{let Ze=new Uint8Array(this._stashBuffer,0,this._bufferSize);if(this._stashUsed>0){let xt=this._stashBuffer.slice(0,this._stashUsed),bt=this._dispatchChunks(xt,this._stashByteStart);if(bt<xt.byteLength){if(bt>0){let Yt=new Uint8Array(xt,bt);Ze.set(Yt,0),this._stashUsed=Yt.byteLength,this._stashByteStart+=bt}}else this._stashUsed=0,this._stashByteStart+=bt;this._stashUsed+Ae.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+Ae.byteLength),Ze=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Ze.set(new Uint8Array(Ae),this._stashUsed),this._stashUsed+=Ae.byteLength}else{let xt=this._dispatchChunks(Ae,Le);if(xt<Ae.byteLength){let bt=Ae.byteLength-xt;bt>this._bufferSize&&(this._expandBuffer(bt),Ze=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Ze.set(new Uint8Array(Ae,xt),0),this._stashUsed+=bt,this._stashByteStart=Le+xt}}}else if(this._stashUsed===0){let Ze=this._dispatchChunks(Ae,Le);if(Ze<Ae.byteLength){let xt=Ae.byteLength-Ze;xt>this._bufferSize&&this._expandBuffer(xt),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(Ae,Ze),0),this._stashUsed+=xt,this._stashByteStart=Le+Ze}}else{this._stashUsed+Ae.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+Ae.byteLength);let Ze=new Uint8Array(this._stashBuffer,0,this._bufferSize);Ze.set(new Uint8Array(Ae),this._stashUsed),this._stashUsed+=Ae.byteLength;let xt=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(xt<this._stashUsed&&xt>0){let bt=new Uint8Array(this._stashBuffer,xt);Ze.set(bt,0)}this._stashUsed-=xt,this._stashByteStart+=xt}}_flushStashBuffer(Ae){if(this._stashUsed>0){let Le=this._stashBuffer.slice(0,this._stashUsed),Ie=this._dispatchChunks(Le,this._stashByteStart),ze=Le.byteLength-Ie;if(Ie<Le.byteLength)if(Ae)Ce.w(this.TAG,`${ze} bytes unconsumed data remain when flush buffer, dropped`);else{if(Ie>0){let Ze=new Uint8Array(this._stashBuffer,0,this._bufferSize),xt=new Uint8Array(Le,Ie);Ze.set(xt,0),this._stashUsed=xt.byteLength,this._stashByteStart+=Ie}return 0}return this._stashUsed=0,this._stashByteStart=0,ze}return 0}_onLoaderComplete(Ae,Le){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(Ae,Le){switch(Ce.e(this.TAG,`Loader error, code = ${Le.code}, msg = ${Le.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,Ae=de.UNRECOVERABLE_EARLY_EOF),Ae){case de.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let Ie=this._currentRange.to+1;Ie<this._totalLength&&(Ce.w(this.TAG,"Connection lost, trying reconnect..."),this._isEarlyEofReconnecting=!0,this._internalSeek(Ie,!1));return}Ae=de.UNRECOVERABLE_EARLY_EOF;break}case de.UNRECOVERABLE_EARLY_EOF:case de.CONNECTING_TIMEOUT:case de.HTTP_STATUS_CODE_INVALID:case de.EXCEPTION:break}if(this._onError)this._onError(Ae,Le);else throw new we("IOException: "+Le.msg)}}var qe=$e;const st={enableWorker:!1,enableStashBuffer:!0,stashInitialSize:void 0,isLive:!1,lazyLoad:!0,lazyLoadMaxDuration:3*60,lazyLoadRecoverDuration:30,deferLoadAfterSourceOpen:!0,autoCleanupMaxBackwardDuration:3*60,autoCleanupMinBackwardDuration:2*60,statisticsInfoReportInterval:600,fixAudioTimestampGap:!0,accurateSeek:!1,seekType:"range",seekParamStart:"bstart",seekParamEnd:"bend",rangeLoadZeroStart:!1,customSeekHandler:void 0,reuseRedirectedURL:!1,headers:void 0,customLoader:void 0};function at(){return Object.assign({},st)}class ct{static supportMSEH264Playback(){return window.MediaSource&&window.MediaSource.isTypeSupported('video/mp4; codecs="avc1.42E01E,mp4a.40.2"')}static supportNetworkStreamIO(){let Ae=new qe({},at()),Le=Ae.loaderType;return Ae.destroy(),Le=="fetch-stream-loader"||Le=="xhr-moz-chunked-loader"}static getNetworkLoaderTypeName(){let Ae=new qe({},at()),Le=Ae.loaderType;return Ae.destroy(),Le}static supportNativeMediaPlayback(Ae){ct.videoElement==null&&(ct.videoElement=window.document.createElement("video"));let Le=ct.videoElement.canPlayType(Ae);return Le==="probably"||Le=="maybe"}static getFeatureList(){let Ae={mseFlvPlayback:!1,mseLiveFlvPlayback:!1,networkStreamIO:!1,networkLoaderName:"",nativeMP4H264Playback:!1,nativeWebmVP8Playback:!1,nativeWebmVP9Playback:!1};return Ae.mseFlvPlayback=ct.supportMSEH264Playback(),Ae.networkStreamIO=ct.supportNetworkStreamIO(),Ae.networkLoaderName=ct.getNetworkLoaderTypeName(),Ae.mseLiveFlvPlayback=Ae.mseFlvPlayback&&Ae.networkStreamIO,Ae.nativeMP4H264Playback=ct.supportNativeMediaPlayback('video/mp4; codecs="avc1.42001E, mp4a.40.2"'),Ae.nativeWebmVP8Playback=ct.supportNativeMediaPlayback('video/webm; codecs="vp8.0, vorbis"'),Ae.nativeWebmVP9Playback=ct.supportNativeMediaPlayback('video/webm; codecs="vp9"'),Ae}}var tt=ct,At={ERROR:"error",LOADING_COMPLETE:"loading_complete",RECOVERED_EARLY_EOF:"recovered_early_eof",MEDIA_INFO:"media_info",METADATA_ARRIVED:"metadata_arrived",SCRIPTDATA_ARRIVED:"scriptdata_arrived",STATISTICS_INFO:"statistics_info"};class mt{static get forceGlobalTag(){return Ce.FORCE_GLOBAL_TAG}static set forceGlobalTag(Ae){Ce.FORCE_GLOBAL_TAG=Ae,mt._notifyChange()}static get globalTag(){return Ce.GLOBAL_TAG}static set globalTag(Ae){Ce.GLOBAL_TAG=Ae,mt._notifyChange()}static get enableAll(){return Ce.ENABLE_VERBOSE&&Ce.ENABLE_DEBUG&&Ce.ENABLE_INFO&&Ce.ENABLE_WARN&&Ce.ENABLE_ERROR}static set enableAll(Ae){Ce.ENABLE_VERBOSE=Ae,Ce.ENABLE_DEBUG=Ae,Ce.ENABLE_INFO=Ae,Ce.ENABLE_WARN=Ae,Ce.ENABLE_ERROR=Ae,mt._notifyChange()}static get enableDebug(){return Ce.ENABLE_DEBUG}static set enableDebug(Ae){Ce.ENABLE_DEBUG=Ae,mt._notifyChange()}static get enableVerbose(){return Ce.ENABLE_VERBOSE}static set enableVerbose(Ae){Ce.ENABLE_VERBOSE=Ae,mt._notifyChange()}static get enableInfo(){return Ce.ENABLE_INFO}static set enableInfo(Ae){Ce.ENABLE_INFO=Ae,mt._notifyChange()}static get enableWarn(){return Ce.ENABLE_WARN}static set enableWarn(Ae){Ce.ENABLE_WARN=Ae,mt._notifyChange()}static get enableError(){return Ce.ENABLE_ERROR}static set enableError(Ae){Ce.ENABLE_ERROR=Ae,mt._notifyChange()}static getConfig(){return{globalTag:Ce.GLOBAL_TAG,forceGlobalTag:Ce.FORCE_GLOBAL_TAG,enableVerbose:Ce.ENABLE_VERBOSE,enableDebug:Ce.ENABLE_DEBUG,enableInfo:Ce.ENABLE_INFO,enableWarn:Ce.ENABLE_WARN,enableError:Ce.ENABLE_ERROR,enableCallback:Ce.ENABLE_CALLBACK}}static applyConfig(Ae){Ce.GLOBAL_TAG=Ae.globalTag,Ce.FORCE_GLOBAL_TAG=Ae.forceGlobalTag,Ce.ENABLE_VERBOSE=Ae.enableVerbose,Ce.ENABLE_DEBUG=Ae.enableDebug,Ce.ENABLE_INFO=Ae.enableInfo,Ce.ENABLE_WARN=Ae.enableWarn,Ce.ENABLE_ERROR=Ae.enableError,Ce.ENABLE_CALLBACK=Ae.enableCallback}static _notifyChange(){let Ae=mt.emitter;if(Ae.listenerCount("change")>0){let Le=mt.getConfig();Ae.emit("change",Le)}}static registerListener(Ae){mt.emitter.addListener("change",Ae)}static removeListener(Ae){mt.emitter.removeListener("change",Ae)}static addLogListener(Ae){Ce.emitter.addListener("log",Ae),Ce.emitter.listenerCount("log")>0&&(Ce.ENABLE_CALLBACK=!0,mt._notifyChange())}static removeLogListener(Ae){Ce.emitter.removeListener("log",Ae),Ce.emitter.listenerCount("log")===0&&(Ce.ENABLE_CALLBACK=!1,mt._notifyChange())}}mt.emitter=new(Se());var ht=mt;class vt{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let Ae=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,Le=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&Ae&&Le}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(Ae){if(this.keyframesIndex==null)return null;let Le=this.keyframesIndex,Ie=this._search(Le.times,Ae);return{index:Ie,milliseconds:Le.times[Ie],fileposition:Le.filepositions[Ie]}}_search(Ae,Le){let Ie=0,ze=Ae.length-1,Ze=0,xt=0,bt=ze;for(Le<Ae[0]&&(Ie=0,xt=bt+1);xt<=bt;)if(Ze=xt+Math.floor((bt-xt)/2),Ze===ze||Le>=Ae[Ze]&&Le<Ae[Ze+1]){Ie=Ze;break}else Ae[Ze]<Le?xt=Ze+1:bt=Ze-1;return Ie}}var jt=vt;function qt(pt,Ae,Le){let Ie=pt;if(Ae+Le<Ie.length){for(;Le--;)if((Ie[++Ae]&192)!==128)return!1;return!0}else return!1}function en(pt){let Ae=[],Le=pt,Ie=0,ze=pt.length;for(;Ie<ze;){if(Le[Ie]<128){Ae.push(String.fromCharCode(Le[Ie])),++Ie;continue}else if(!(Le[Ie]<192)){if(Le[Ie]<224){if(qt(Le,Ie,1)){let Ze=(Le[Ie]&31)<<6|Le[Ie+1]&63;if(Ze>=128){Ae.push(String.fromCharCode(Ze&65535)),Ie+=2;continue}}}else if(Le[Ie]<240){if(qt(Le,Ie,2)){let Ze=(Le[Ie]&15)<<12|(Le[Ie+1]&63)<<6|Le[Ie+2]&63;if(Ze>=2048&&(Ze&63488)!==55296){Ae.push(String.fromCharCode(Ze&65535)),Ie+=3;continue}}}else if(Le[Ie]<248&&qt(Le,Ie,3)){let Ze=(Le[Ie]&7)<<18|(Le[Ie+1]&63)<<12|(Le[Ie+2]&63)<<6|Le[Ie+3]&63;if(Ze>65536&&Ze<1114112){Ze-=65536,Ae.push(String.fromCharCode(Ze>>>10|55296)),Ae.push(String.fromCharCode(Ze&1023|56320)),Ie+=4;continue}}}Ae.push("\uFFFD"),++Ie}return Ae.join("")}var mn=en;let Ot=function(){let pt=new ArrayBuffer(2);return new DataView(pt).setInt16(0,256,!0),new Int16Array(pt)[0]===256}();class an{static parseScriptData(Ae,Le,Ie){let ze={};try{let Ze=an.parseValue(Ae,Le,Ie),xt=an.parseValue(Ae,Le+Ze.size,Ie-Ze.size);ze[Ze.data]=xt.data}catch(Ze){Ce.e("AMF",Ze.toString())}return ze}static parseObject(Ae,Le,Ie){if(Ie<3)throw new Me("Data not enough when parse ScriptDataObject");let ze=an.parseString(Ae,Le,Ie),Ze=an.parseValue(Ae,Le+ze.size,Ie-ze.size),xt=Ze.objectEnd;return{data:{name:ze.data,value:Ze.data},size:ze.size+Ze.size,objectEnd:xt}}static parseVariable(Ae,Le,Ie){return an.parseObject(Ae,Le,Ie)}static parseString(Ae,Le,Ie){if(Ie<2)throw new Me("Data not enough when parse String");let Ze=new DataView(Ae,Le,Ie).getUint16(0,!Ot),xt;return Ze>0?xt=mn(new Uint8Array(Ae,Le+2,Ze)):xt="",{data:xt,size:2+Ze}}static parseLongString(Ae,Le,Ie){if(Ie<4)throw new Me("Data not enough when parse LongString");let Ze=new DataView(Ae,Le,Ie).getUint32(0,!Ot),xt;return Ze>0?xt=mn(new Uint8Array(Ae,Le+4,Ze)):xt="",{data:xt,size:4+Ze}}static parseDate(Ae,Le,Ie){if(Ie<10)throw new Me("Data size invalid when parse Date");let ze=new DataView(Ae,Le,Ie),Ze=ze.getFloat64(0,!Ot),xt=ze.getInt16(8,!Ot);return Ze+=xt*60*1e3,{data:new Date(Ze),size:10}}static parseValue(Ae,Le,Ie){if(Ie<1)throw new Me("Data not enough when parse Value");let ze=new DataView(Ae,Le,Ie),Ze=1,xt=ze.getUint8(0),bt,Yt=!1;try{switch(xt){case 0:bt=ze.getFloat64(1,!Ot),Ze+=8;break;case 1:{bt=!!ze.getUint8(1),Ze+=1;break}case 2:{let Ht=an.parseString(Ae,Le+1,Ie-1);bt=Ht.data,Ze+=Ht.size;break}case 3:{bt={};let Ht=0;for((ze.getUint32(Ie-4,!Ot)&16777215)===9&&(Ht=3);Ze<Ie-4;){let cn=an.parseObject(Ae,Le+Ze,Ie-Ze-Ht);if(cn.objectEnd)break;bt[cn.data.name]=cn.data.value,Ze+=cn.size}Ze<=Ie-3&&(ze.getUint32(Ze-1,!Ot)&16777215)===9&&(Ze+=3);break}case 8:{bt={},Ze+=4;let Ht=0;for((ze.getUint32(Ie-4,!Ot)&16777215)===9&&(Ht=3);Ze<Ie-8;){let cn=an.parseVariable(Ae,Le+Ze,Ie-Ze-Ht);if(cn.objectEnd)break;bt[cn.data.name]=cn.data.value,Ze+=cn.size}Ze<=Ie-3&&(ze.getUint32(Ze-1,!Ot)&16777215)===9&&(Ze+=3);break}case 9:bt=void 0,Ze=1,Yt=!0;break;case 10:{bt=[];let Ht=ze.getUint32(1,!Ot);Ze+=4;for(let cn=0;cn<Ht;cn++){let dn=an.parseValue(Ae,Le+Ze,Ie-Ze);bt.push(dn.data),Ze+=dn.size}break}case 11:{let Ht=an.parseDate(Ae,Le+1,Ie-1);bt=Ht.data,Ze+=Ht.size;break}case 12:{let Ht=an.parseString(Ae,Le+1,Ie-1);bt=Ht.data,Ze+=Ht.size;break}default:Ze=Ie,Ce.w("AMF","Unsupported AMF value type "+xt)}}catch(Ht){Ce.e("AMF",Ht.toString())}return{data:bt,size:Ze,objectEnd:Yt}}}var nn=an;class Dn{constructor(Ae){this.TAG="ExpGolomb",this._buffer=Ae,this._buffer_index=0,this._total_bytes=Ae.byteLength,this._total_bits=Ae.byteLength*8,this._current_word=0,this._current_word_bits_left=0}destroy(){this._buffer=null}_fillCurrentWord(){let Ae=this._total_bytes-this._buffer_index;if(Ae<=0)throw new Me("ExpGolomb: _fillCurrentWord() but no bytes available");let Le=Math.min(4,Ae),Ie=new Uint8Array(4);Ie.set(this._buffer.subarray(this._buffer_index,this._buffer_index+Le)),this._current_word=new DataView(Ie.buffer).getUint32(0,!1),this._buffer_index+=Le,this._current_word_bits_left=Le*8}readBits(Ae){if(Ae>32)throw new pe("ExpGolomb: readBits() bits exceeded max 32bits!");if(Ae<=this._current_word_bits_left){let xt=this._current_word>>>32-Ae;return this._current_word<<=Ae,this._current_word_bits_left-=Ae,xt}let Le=this._current_word_bits_left?this._current_word:0;Le=Le>>>32-this._current_word_bits_left;let Ie=Ae-this._current_word_bits_left;this._fillCurrentWord();let ze=Math.min(Ie,this._current_word_bits_left),Ze=this._current_word>>>32-ze;return this._current_word<<=ze,this._current_word_bits_left-=ze,Le=Le<<ze|Ze,Le}readBool(){return this.readBits(1)===1}readByte(){return this.readBits(8)}_skipLeadingZero(){let Ae;for(Ae=0;Ae<this._current_word_bits_left;Ae++)if(this._current_word&2147483648>>>Ae)return this._current_word<<=Ae,this._current_word_bits_left-=Ae,Ae;return this._fillCurrentWord(),Ae+this._skipLeadingZero()}readUEG(){let Ae=this._skipLeadingZero();return this.readBits(Ae+1)-1}readSEG(){let Ae=this.readUEG();return Ae&1?Ae+1>>>1:-1*(Ae>>>1)}}var Nn=Dn;class sn{static _ebsp2rbsp(Ae){let Le=Ae,Ie=Le.byteLength,ze=new Uint8Array(Ie),Ze=0;for(let xt=0;xt<Ie;xt++)xt>=2&&Le[xt]===3&&Le[xt-1]===0&&Le[xt-2]===0||(ze[Ze]=Le[xt],Ze++);return new Uint8Array(ze.buffer,0,Ze)}static parseSPS(Ae){let Le=sn._ebsp2rbsp(Ae),Ie=new Nn(Le);Ie.readByte();let ze=Ie.readByte();Ie.readByte();let Ze=Ie.readByte();Ie.readUEG();let xt=sn.getProfileString(ze),bt=sn.getLevelString(Ze),Yt=1,Ht=420,cn=[0,420,422,444],dn=8;if((ze===100||ze===110||ze===122||ze===244||ze===44||ze===83||ze===86||ze===118||ze===128||ze===138||ze===144)&&(Yt=Ie.readUEG(),Yt===3&&Ie.readBits(1),Yt<=3&&(Ht=cn[Yt]),dn=Ie.readUEG()+8,Ie.readUEG(),Ie.readBits(1),Ie.readBool())){let Da=Yt!==3?8:12;for(let sa=0;sa<Da;sa++)Ie.readBool()&&(sa<6?sn._skipScalingList(Ie,16):sn._skipScalingList(Ie,64))}Ie.readUEG();let Zn=Ie.readUEG();if(Zn===0)Ie.readUEG();else if(Zn===1){Ie.readBits(1),Ie.readSEG(),Ie.readSEG();let Da=Ie.readUEG();for(let sa=0;sa<Da;sa++)Ie.readSEG()}let Mn=Ie.readUEG();Ie.readBits(1);let er=Ie.readUEG(),rr=Ie.readUEG(),mr=Ie.readBits(1);mr===0&&Ie.readBits(1),Ie.readBits(1);let pn=0,tn=0,Tn=0,Hn=0;Ie.readBool()&&(pn=Ie.readUEG(),tn=Ie.readUEG(),Tn=Ie.readUEG(),Hn=Ie.readUEG());let br=1,tr=1,hr=0,vr=!0,Bn=0,xr=0;if(Ie.readBool()){if(Ie.readBool()){let Da=Ie.readByte(),sa=[1,12,10,16,40,24,20,32,80,18,15,64,160,4,3,2],Ja=[1,11,11,11,33,11,11,11,33,11,11,33,99,3,2,1];Da>0&&Da<16?(br=sa[Da-1],tr=Ja[Da-1]):Da===255&&(br=Ie.readByte()<<8|Ie.readByte(),tr=Ie.readByte()<<8|Ie.readByte())}if(Ie.readBool()&&Ie.readBool(),Ie.readBool()&&(Ie.readBits(4),Ie.readBool()&&Ie.readBits(24)),Ie.readBool()&&(Ie.readUEG(),Ie.readUEG()),Ie.readBool()){let Da=Ie.readBits(32),sa=Ie.readBits(32);vr=Ie.readBool(),Bn=sa,xr=Da*2,hr=Bn/xr}}let Nr=1;(br!==1||tr!==1)&&(Nr=br/tr);let Xa=0,$a=0;if(Yt===0)Xa=1,$a=2-mr;else{let Da=Yt===3?1:2,sa=Yt===1?2:1;Xa=Da,$a=sa*(2-mr)}let ai=(er+1)*16,Zr=(2-mr)*((rr+1)*16);ai-=(pn+tn)*Xa,Zr-=(Tn+Hn)*$a;let ua=Math.ceil(ai*Nr);return Ie.destroy(),Ie=null,{profile_string:xt,level_string:bt,bit_depth:dn,ref_frames:Mn,chroma_format:Ht,chroma_format_string:sn.getChromaFormatString(Ht),frame_rate:{fixed:vr,fps:hr,fps_den:xr,fps_num:Bn},sar_ratio:{width:br,height:tr},codec_size:{width:ai,height:Zr},present_size:{width:ua,height:Zr}}}static _skipScalingList(Ae,Le){let Ie=8,ze=8,Ze=0;for(let xt=0;xt<Le;xt++)ze!==0&&(Ze=Ae.readSEG(),ze=(Ie+Ze+256)%256),Ie=ze===0?Ie:ze}static getProfileString(Ae){switch(Ae){case 66:return"Baseline";case 77:return"Main";case 88:return"Extended";case 100:return"High";case 110:return"High10";case 122:return"High422";case 244:return"High444";default:return"Unknown"}}static getLevelString(Ae){return(Ae/10).toFixed(1)}static getChromaFormatString(Ae){switch(Ae){case 420:return"4:2:0";case 422:return"4:2:2";case 444:return"4:4:4";default:return"Unknown"}}}var fn=sn,Tt={OK:"OK",FORMAT_ERROR:"FormatError",FORMAT_UNSUPPORTED:"FormatUnsupported",CODEC_UNSUPPORTED:"CodecUnsupported"};function yt(pt){return pt>>>8&255|(pt&255)<<8}function Gt(pt){return(pt&4278190080)>>>24|(pt&16711680)>>>8|(pt&65280)<<8|(pt&255)<<24}function gt(pt,Ae){return pt[Ae]<<24|pt[Ae+1]<<16|pt[Ae+2]<<8|pt[Ae+3]}class St{constructor(Ae,Le){this.TAG="FLVDemuxer",this._config=Le,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=Ae.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=Ae.hasAudioTrack,this._hasVideo=Ae.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new jt,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let Ie=new ArrayBuffer(2);return new DataView(Ie).setInt16(0,256,!0),new Int16Array(Ie)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(Ae){let Le=new Uint8Array(Ae),Ie={match:!1};if(Le[0]!==70||Le[1]!==76||Le[2]!==86||Le[3]!==1)return Ie;let ze=(Le[4]&4)>>>2!==0,Ze=(Le[4]&1)!==0,xt=gt(Le,5);return xt<9?Ie:{match:!0,consumed:xt,dataOffset:xt,hasAudioTrack:ze,hasVideoTrack:Ze}}bindDataSource(Ae){return Ae.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(Ae){this._onTrackMetadata=Ae}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(Ae){this._onMediaInfo=Ae}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(Ae){this._onMetaDataArrived=Ae}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(Ae){this._onScriptDataArrived=Ae}get onError(){return this._onError}set onError(Ae){this._onError=Ae}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(Ae){this._onDataAvailable=Ae}get timestampBase(){return this._timestampBase}set timestampBase(Ae){this._timestampBase=Ae}get overridedDuration(){return this._duration}set overridedDuration(Ae){this._durationOverrided=!0,this._duration=Ae,this._mediaInfo.duration=Ae}set overridedHasAudio(Ae){this._hasAudioFlagOverrided=!0,this._hasAudio=Ae,this._mediaInfo.hasAudio=Ae}set overridedHasVideo(Ae){this._hasVideoFlagOverrided=!0,this._hasVideo=Ae,this._mediaInfo.hasVideo=Ae}resetMediaInfo(){this._mediaInfo=new jt}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(Ae,Le){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new Me("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let Ie=0,ze=this._littleEndian;if(Le===0)if(Ae.byteLength>13)Ie=St.probe(Ae).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,Le+Ie!==this._dataOffset&&Ce.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(Ae,Ie).getUint32(0,!ze)!==0&&Ce.w(this.TAG,"PrevTagSize0 !== 0 !!!"),Ie+=4);Ie<Ae.byteLength;){this._dispatch=!0;let Ze=new DataView(Ae,Ie);if(Ie+11+4>Ae.byteLength)break;let xt=Ze.getUint8(0),bt=Ze.getUint32(0,!ze)&16777215;if(Ie+11+bt+4>Ae.byteLength)break;if(xt!==8&&xt!==9&&xt!==18){Ce.w(this.TAG,`Unsupported tag type ${xt}, skipped`),Ie+=11+bt+4;continue}let Yt=Ze.getUint8(4),Ht=Ze.getUint8(5),cn=Ze.getUint8(6),dn=Ze.getUint8(7),Zn=cn|Ht<<8|Yt<<16|dn<<24;(Ze.getUint32(7,!ze)&16777215)!==0&&Ce.w(this.TAG,"Meet tag which has StreamID != 0!");let er=Ie+11;switch(xt){case 8:this._parseAudioData(Ae,er,bt,Zn);break;case 9:this._parseVideoData(Ae,er,bt,Zn,Le+Ie);break;case 18:this._parseScriptData(Ae,er,bt);break}let rr=Ze.getUint32(11+bt,!ze);rr!==11+bt&&Ce.w(this.TAG,`Invalid PrevTagSize ${rr}`),Ie+=11+bt+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),Ie}_parseScriptData(Ae,Le,Ie){let ze=nn.parseScriptData(Ae,Le,Ie);if(ze.hasOwnProperty("onMetaData")){if(ze.onMetaData==null||typeof ze.onMetaData!="object"){Ce.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&Ce.w(this.TAG,"Found another onMetaData tag!"),this._metadata=ze;let Ze=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},Ze)),typeof Ze.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=Ze.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof Ze.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=Ze.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof Ze.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=Ze.audiodatarate),typeof Ze.videodatarate=="number"&&(this._mediaInfo.videoDataRate=Ze.videodatarate),typeof Ze.width=="number"&&(this._mediaInfo.width=Ze.width),typeof Ze.height=="number"&&(this._mediaInfo.height=Ze.height),typeof Ze.duration=="number"){if(!this._durationOverrided){let xt=Math.floor(Ze.duration*this._timescale);this._duration=xt,this._mediaInfo.duration=xt}}else this._mediaInfo.duration=0;if(typeof Ze.framerate=="number"){let xt=Math.floor(Ze.framerate*1e3);if(xt>0){let bt=xt/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=bt,this._referenceFrameRate.fps_num=xt,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=bt}}if(typeof Ze.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let xt=Ze.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(xt),Ze.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=Ze,Ce.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(ze).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},ze))}_parseKeyframesIndex(Ae){let Le=[],Ie=[];for(let ze=1;ze<Ae.times.length;ze++){let Ze=this._timestampBase+Math.floor(Ae.times[ze]*1e3);Le.push(Ze),Ie.push(Ae.filepositions[ze])}return{times:Le,filepositions:Ie}}_parseAudioData(Ae,Le,Ie,ze){if(Ie<=1){Ce.w(this.TAG,"Flv: Invalid audio packet, missing SoundData payload!");return}if(this._hasAudioFlagOverrided===!0&&this._hasAudio===!1)return;let Ze=this._littleEndian,bt=new DataView(Ae,Le,Ie).getUint8(0),Yt=bt>>>4;if(Yt!==2&&Yt!==10){this._onError(Tt.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+Yt);return}let Ht=0,cn=(bt&12)>>>2;if(cn>=0&&cn<=4)Ht=this._flvSoundRateTable[cn];else{this._onError(Tt.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+cn);return}let dn=(bt&2)>>>1,Zn=bt&1,Mn=this._audioMetadata,er=this._audioTrack;if(Mn||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),Mn=this._audioMetadata={},Mn.type="audio",Mn.id=er.id,Mn.timescale=this._timescale,Mn.duration=this._duration,Mn.audioSampleRate=Ht,Mn.channelCount=Zn===0?1:2),Yt===10){let rr=this._parseAACAudioData(Ae,Le+1,Ie-1);if(rr==null)return;if(rr.packetType===0){Mn.config&&Ce.w(this.TAG,"Found another AudioSpecificConfig!");let mr=rr.data;Mn.audioSampleRate=mr.samplingRate,Mn.channelCount=mr.channelCount,Mn.codec=mr.codec,Mn.originalCodec=mr.originalCodec,Mn.config=mr.config,Mn.refSampleDuration=1024/Mn.audioSampleRate*Mn.timescale,Ce.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",Mn);let pn=this._mediaInfo;pn.audioCodec=Mn.originalCodec,pn.audioSampleRate=Mn.audioSampleRate,pn.audioChannelCount=Mn.channelCount,pn.hasVideo?pn.videoCodec!=null&&(pn.mimeType='video/x-flv; codecs="'+pn.videoCodec+","+pn.audioCodec+'"'):pn.mimeType='video/x-flv; codecs="'+pn.audioCodec+'"',pn.isComplete()&&this._onMediaInfo(pn)}else if(rr.packetType===1){let mr=this._timestampBase+ze,pn={unit:rr.data,length:rr.data.byteLength,dts:mr,pts:mr};er.samples.push(pn),er.length+=rr.data.length}else Ce.e(this.TAG,`Flv: Unsupported AAC data type ${rr.packetType}`)}else if(Yt===2){if(!Mn.codec){let tn=this._parseMP3AudioData(Ae,Le+1,Ie-1,!0);if(tn==null)return;Mn.audioSampleRate=tn.samplingRate,Mn.channelCount=tn.channelCount,Mn.codec=tn.codec,Mn.originalCodec=tn.originalCodec,Mn.refSampleDuration=1152/Mn.audioSampleRate*Mn.timescale,Ce.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",Mn);let Tn=this._mediaInfo;Tn.audioCodec=Mn.codec,Tn.audioSampleRate=Mn.audioSampleRate,Tn.audioChannelCount=Mn.channelCount,Tn.audioDataRate=tn.bitRate,Tn.hasVideo?Tn.videoCodec!=null&&(Tn.mimeType='video/x-flv; codecs="'+Tn.videoCodec+","+Tn.audioCodec+'"'):Tn.mimeType='video/x-flv; codecs="'+Tn.audioCodec+'"',Tn.isComplete()&&this._onMediaInfo(Tn)}let rr=this._parseMP3AudioData(Ae,Le+1,Ie-1,!1);if(rr==null)return;let mr=this._timestampBase+ze,pn={unit:rr,length:rr.byteLength,dts:mr,pts:mr};er.samples.push(pn),er.length+=rr.length}}_parseAACAudioData(Ae,Le,Ie){if(Ie<=1){Ce.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let ze={},Ze=new Uint8Array(Ae,Le,Ie);return ze.packetType=Ze[0],Ze[0]===0?ze.data=this._parseAACAudioSpecificConfig(Ae,Le+1,Ie-1):ze.data=Ze.subarray(1),ze}_parseAACAudioSpecificConfig(Ae,Le,Ie){let ze=new Uint8Array(Ae,Le,Ie),Ze=null,xt=0,bt=0,Yt=null,Ht=0,cn=null;if(xt=bt=ze[0]>>>3,Ht=(ze[0]&7)<<1|ze[1]>>>7,Ht<0||Ht>=this._mpegSamplingRates.length){this._onError(Tt.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let dn=this._mpegSamplingRates[Ht],Zn=(ze[1]&120)>>>3;if(Zn<0||Zn>=8){this._onError(Tt.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}xt===5&&(cn=(ze[1]&7)<<1|ze[2]>>>7,Yt=(ze[2]&124)>>>2);let Mn=self.navigator.userAgent.toLowerCase();return Mn.indexOf("firefox")!==-1?Ht>=6?(xt=5,Ze=new Array(4),cn=Ht-3):(xt=2,Ze=new Array(2),cn=Ht):Mn.indexOf("android")!==-1?(xt=2,Ze=new Array(2),cn=Ht):(xt=5,cn=Ht,Ze=new Array(4),Ht>=6?cn=Ht-3:Zn===1&&(xt=2,Ze=new Array(2),cn=Ht)),Ze[0]=xt<<3,Ze[0]|=(Ht&15)>>>1,Ze[1]=(Ht&15)<<7,Ze[1]|=(Zn&15)<<3,xt===5&&(Ze[1]|=(cn&15)>>>1,Ze[2]=(cn&1)<<7,Ze[2]|=8,Ze[3]=0),{config:Ze,samplingRate:dn,channelCount:Zn,codec:"mp4a.40."+xt,originalCodec:"mp4a.40."+bt}}_parseMP3AudioData(Ae,Le,Ie,ze){if(Ie<4){Ce.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let Ze=this._littleEndian,xt=new Uint8Array(Ae,Le,Ie),bt=null;if(ze){if(xt[0]!==255)return;let Yt=xt[1]>>>3&3,Ht=(xt[1]&6)>>1,cn=(xt[2]&240)>>>4,dn=(xt[2]&12)>>>2,Mn=(xt[3]>>>6&3)!==3?2:1,er=0,rr=0,mr=34,pn="mp3";switch(Yt){case 0:er=this._mpegAudioV25SampleRateTable[dn];break;case 2:er=this._mpegAudioV20SampleRateTable[dn];break;case 3:er=this._mpegAudioV10SampleRateTable[dn];break}switch(Ht){case 1:mr=34,cn<this._mpegAudioL3BitRateTable.length&&(rr=this._mpegAudioL3BitRateTable[cn]);break;case 2:mr=33,cn<this._mpegAudioL2BitRateTable.length&&(rr=this._mpegAudioL2BitRateTable[cn]);break;case 3:mr=32,cn<this._mpegAudioL1BitRateTable.length&&(rr=this._mpegAudioL1BitRateTable[cn]);break}bt={bitRate:rr,samplingRate:er,channelCount:Mn,codec:pn,originalCodec:pn}}else bt=xt;return bt}_parseVideoData(Ae,Le,Ie,ze,Ze){if(Ie<=1){Ce.w(this.TAG,"Flv: Invalid video packet, missing VideoData payload!");return}if(this._hasVideoFlagOverrided===!0&&this._hasVideo===!1)return;let xt=new Uint8Array(Ae,Le,Ie)[0],bt=(xt&240)>>>4,Yt=xt&15;if(Yt!==7){this._onError(Tt.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${Yt}`);return}this._parseAVCVideoPacket(Ae,Le+1,Ie-1,ze,Ze,bt)}_parseAVCVideoPacket(Ae,Le,Ie,ze,Ze,xt){if(Ie<4){Ce.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let bt=this._littleEndian,Yt=new DataView(Ae,Le,Ie),Ht=Yt.getUint8(0),dn=(Yt.getUint32(0,!bt)&16777215)<<8>>8;if(Ht===0)this._parseAVCDecoderConfigurationRecord(Ae,Le+4,Ie-4);else if(Ht===1)this._parseAVCVideoData(Ae,Le+4,Ie-4,ze,Ze,xt,dn);else if(Ht!==2){this._onError(Tt.FORMAT_ERROR,`Flv: Invalid video packet type ${Ht}`);return}}_parseAVCDecoderConfigurationRecord(Ae,Le,Ie){if(Ie<7){Ce.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let ze=this._videoMetadata,Ze=this._videoTrack,xt=this._littleEndian,bt=new DataView(Ae,Le,Ie);ze?typeof ze.avcc!="undefined"&&Ce.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),ze=this._videoMetadata={},ze.type="video",ze.id=Ze.id,ze.timescale=this._timescale,ze.duration=this._duration);let Yt=bt.getUint8(0),Ht=bt.getUint8(1),cn=bt.getUint8(2),dn=bt.getUint8(3);if(Yt!==1||Ht===0){this._onError(Tt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(bt.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(Tt.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Zn=bt.getUint8(5)&31;if(Zn===0){this._onError(Tt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Zn>1&&Ce.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Zn}`);let Mn=6;for(let rr=0;rr<Zn;rr++){let mr=bt.getUint16(Mn,!xt);if(Mn+=2,mr===0)continue;let pn=new Uint8Array(Ae,Le+Mn,mr);Mn+=mr;let tn=fn.parseSPS(pn);if(rr!==0)continue;ze.codecWidth=tn.codec_size.width,ze.codecHeight=tn.codec_size.height,ze.presentWidth=tn.present_size.width,ze.presentHeight=tn.present_size.height,ze.profile=tn.profile_string,ze.level=tn.level_string,ze.bitDepth=tn.bit_depth,ze.chromaFormat=tn.chroma_format,ze.sarRatio=tn.sar_ratio,ze.frameRate=tn.frame_rate,(tn.frame_rate.fixed===!1||tn.frame_rate.fps_num===0||tn.frame_rate.fps_den===0)&&(ze.frameRate=this._referenceFrameRate);let Tn=ze.frameRate.fps_den,Hn=ze.frameRate.fps_num;ze.refSampleDuration=ze.timescale*(Tn/Hn);let fr=pn.subarray(1,4),br="avc1.";for(let hr=0;hr<3;hr++){let vr=fr[hr].toString(16);vr.length<2&&(vr="0"+vr),br+=vr}ze.codec=br;let tr=this._mediaInfo;tr.width=ze.codecWidth,tr.height=ze.codecHeight,tr.fps=ze.frameRate.fps,tr.profile=ze.profile,tr.level=ze.level,tr.refFrames=tn.ref_frames,tr.chromaFormat=tn.chroma_format_string,tr.sarNum=ze.sarRatio.width,tr.sarDen=ze.sarRatio.height,tr.videoCodec=br,tr.hasAudio?tr.audioCodec!=null&&(tr.mimeType='video/x-flv; codecs="'+tr.videoCodec+","+tr.audioCodec+'"'):tr.mimeType='video/x-flv; codecs="'+tr.videoCodec+'"',tr.isComplete()&&this._onMediaInfo(tr)}let er=bt.getUint8(Mn);if(er===0){this._onError(Tt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No PPS");return}else er>1&&Ce.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${er}`);Mn++;for(let rr=0;rr<er;rr++){let mr=bt.getUint16(Mn,!xt);Mn+=2,mr!==0&&(Mn+=mr)}ze.avcc=new Uint8Array(Ie),ze.avcc.set(new Uint8Array(Ae,Le,Ie),0),Ce.v(this.TAG,"Parsed AVCDecoderConfigurationRecord"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._videoInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("video",ze)}_parseAVCVideoData(Ae,Le,Ie,ze,Ze,xt,bt){let Yt=this._littleEndian,Ht=new DataView(Ae,Le,Ie),cn=[],dn=0,Zn=0;const Mn=this._naluLengthSize;let er=this._timestampBase+ze,rr=xt===1;for(;Zn<Ie;){if(Zn+4>=Ie){Ce.w(this.TAG,`Malformed Nalu near timestamp ${er}, offset = ${Zn}, dataSize = ${Ie}`);break}let mr=Ht.getUint32(Zn,!Yt);if(Mn===3&&(mr>>>=8),mr>Ie-Mn){Ce.w(this.TAG,`Malformed Nalus near timestamp ${er}, NaluSize > DataSize!`);return}let pn=Ht.getUint8(Zn+Mn)&31;pn===5&&(rr=!0);let tn=new Uint8Array(Ae,Le+Zn,Mn+mr),Tn={type:pn,data:tn};cn.push(Tn),dn+=tn.byteLength,Zn+=Mn+mr}if(cn.length){let mr=this._videoTrack,pn={units:cn,length:dn,isKeyframe:rr,dts:er,cts:bt,pts:er+bt};rr&&(pn.fileposition=Ze),mr.samples.push(pn),mr.length+=dn}}}var Qt=St;class Nt{static init(){Nt.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let Le in Nt.types)Nt.types.hasOwnProperty(Le)&&(Nt.types[Le]=[Le.charCodeAt(0),Le.charCodeAt(1),Le.charCodeAt(2),Le.charCodeAt(3)]);let Ae=Nt.constants={};Ae.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),Ae.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),Ae.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),Ae.STSC=Ae.STCO=Ae.STTS,Ae.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),Ae.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),Ae.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),Ae.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),Ae.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),Ae.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(Ae){let Le=8,Ie=null,ze=Array.prototype.slice.call(arguments,1),Ze=ze.length;for(let bt=0;bt<Ze;bt++)Le+=ze[bt].byteLength;Ie=new Uint8Array(Le),Ie[0]=Le>>>24&255,Ie[1]=Le>>>16&255,Ie[2]=Le>>>8&255,Ie[3]=Le&255,Ie.set(Ae,4);let xt=8;for(let bt=0;bt<Ze;bt++)Ie.set(ze[bt],xt),xt+=ze[bt].byteLength;return Ie}static generateInitSegment(Ae){let Le=Nt.box(Nt.types.ftyp,Nt.constants.FTYP),Ie=Nt.moov(Ae),ze=new Uint8Array(Le.byteLength+Ie.byteLength);return ze.set(Le,0),ze.set(Ie,Le.byteLength),ze}static moov(Ae){let Le=Nt.mvhd(Ae.timescale,Ae.duration),Ie=Nt.trak(Ae),ze=Nt.mvex(Ae);return Nt.box(Nt.types.moov,Le,Ie,ze)}static mvhd(Ae,Le){return Nt.box(Nt.types.mvhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,Ae>>>24&255,Ae>>>16&255,Ae>>>8&255,Ae&255,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(Ae){return Nt.box(Nt.types.trak,Nt.tkhd(Ae),Nt.mdia(Ae))}static tkhd(Ae){let Le=Ae.id,Ie=Ae.duration,ze=Ae.presentWidth,Ze=Ae.presentHeight;return Nt.box(Nt.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,0,0,0,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,ze>>>8&255,ze&255,0,0,Ze>>>8&255,Ze&255,0,0]))}static mdia(Ae){return Nt.box(Nt.types.mdia,Nt.mdhd(Ae),Nt.hdlr(Ae),Nt.minf(Ae))}static mdhd(Ae){let Le=Ae.timescale,Ie=Ae.duration;return Nt.box(Nt.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255,85,196,0,0]))}static hdlr(Ae){let Le=null;return Ae.type==="audio"?Le=Nt.constants.HDLR_AUDIO:Le=Nt.constants.HDLR_VIDEO,Nt.box(Nt.types.hdlr,Le)}static minf(Ae){let Le=null;return Ae.type==="audio"?Le=Nt.box(Nt.types.smhd,Nt.constants.SMHD):Le=Nt.box(Nt.types.vmhd,Nt.constants.VMHD),Nt.box(Nt.types.minf,Le,Nt.dinf(),Nt.stbl(Ae))}static dinf(){return Nt.box(Nt.types.dinf,Nt.box(Nt.types.dref,Nt.constants.DREF))}static stbl(Ae){return Nt.box(Nt.types.stbl,Nt.stsd(Ae),Nt.box(Nt.types.stts,Nt.constants.STTS),Nt.box(Nt.types.stsc,Nt.constants.STSC),Nt.box(Nt.types.stsz,Nt.constants.STSZ),Nt.box(Nt.types.stco,Nt.constants.STCO))}static stsd(Ae){return Ae.type==="audio"?Ae.codec==="mp3"?Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.mp3(Ae)):Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.mp4a(Ae)):Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.avc1(Ae))}static mp3(Ae){let Le=Ae.channelCount,Ie=Ae.audioSampleRate,ze=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Le,0,16,0,0,0,0,Ie>>>8&255,Ie&255,0,0]);return Nt.box(Nt.types[".mp3"],ze)}static mp4a(Ae){let Le=Ae.channelCount,Ie=Ae.audioSampleRate,ze=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Le,0,16,0,0,0,0,Ie>>>8&255,Ie&255,0,0]);return Nt.box(Nt.types.mp4a,ze,Nt.esds(Ae))}static esds(Ae){let Le=Ae.config||[],Ie=Le.length,ze=new Uint8Array([0,0,0,0,3,23+Ie,0,1,0,4,15+Ie,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([Ie]).concat(Le).concat([6,1,2]));return Nt.box(Nt.types.esds,ze)}static avc1(Ae){let Le=Ae.avcc,Ie=Ae.codecWidth,ze=Ae.codecHeight,Ze=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Ie>>>8&255,Ie&255,ze>>>8&255,ze&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return Nt.box(Nt.types.avc1,Ze,Nt.box(Nt.types.avcC,Le))}static mvex(Ae){return Nt.box(Nt.types.mvex,Nt.trex(Ae))}static trex(Ae){let Le=Ae.id,Ie=new Uint8Array([0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return Nt.box(Nt.types.trex,Ie)}static moof(Ae,Le){return Nt.box(Nt.types.moof,Nt.mfhd(Ae.sequenceNumber),Nt.traf(Ae,Le))}static mfhd(Ae){let Le=new Uint8Array([0,0,0,0,Ae>>>24&255,Ae>>>16&255,Ae>>>8&255,Ae&255]);return Nt.box(Nt.types.mfhd,Le)}static traf(Ae,Le){let Ie=Ae.id,ze=Nt.box(Nt.types.tfhd,new Uint8Array([0,0,0,0,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255])),Ze=Nt.box(Nt.types.tfdt,new Uint8Array([0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255])),xt=Nt.sdtp(Ae),bt=Nt.trun(Ae,xt.byteLength+16+16+8+16+8+8);return Nt.box(Nt.types.traf,ze,Ze,bt,xt)}static sdtp(Ae){let Le=Ae.samples||[],Ie=Le.length,ze=new Uint8Array(4+Ie);for(let Ze=0;Ze<Ie;Ze++){let xt=Le[Ze].flags;ze[Ze+4]=xt.isLeading<<6|xt.dependsOn<<4|xt.isDependedOn<<2|xt.hasRedundancy}return Nt.box(Nt.types.sdtp,ze)}static trun(Ae,Le){let Ie=Ae.samples||[],ze=Ie.length,Ze=12+16*ze,xt=new Uint8Array(Ze);Le+=8+Ze,xt.set([0,0,15,1,ze>>>24&255,ze>>>16&255,ze>>>8&255,ze&255,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255],0);for(let bt=0;bt<ze;bt++){let Yt=Ie[bt].duration,Ht=Ie[bt].size,cn=Ie[bt].flags,dn=Ie[bt].cts;xt.set([Yt>>>24&255,Yt>>>16&255,Yt>>>8&255,Yt&255,Ht>>>24&255,Ht>>>16&255,Ht>>>8&255,Ht&255,cn.isLeading<<2|cn.dependsOn,cn.isDependedOn<<6|cn.hasRedundancy<<4|cn.isNonSync,0,0,dn>>>24&255,dn>>>16&255,dn>>>8&255,dn&255],12+16*bt)}return Nt.box(Nt.types.trun,xt)}static mdat(Ae){return Nt.box(Nt.types.mdat,Ae)}}Nt.init();var wt=Nt;class rn{static getSilentFrame(Ae,Le){if(Ae==="mp4a.40.2"){if(Le===1)return new Uint8Array([0,200,0,128,35,128]);if(Le===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(Le===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(Le===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(Le===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(Le===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(Le===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Le===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Le===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var On=rn;class zn{constructor(Ae,Le,Ie,ze,Ze){this.dts=Ae,this.pts=Le,this.duration=Ie,this.originalDts=ze,this.isSyncPoint=Ze,this.fileposition=null}}class Gn{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(Ae){Ae.isSyncPoint=!0,this.syncPoints.push(Ae)}}class nr{constructor(){this._list=[]}clear(){this._list=[]}appendArray(Ae){let Le=this._list;Ae.length!==0&&(Le.length>0&&Ae[0].originalDts<Le[Le.length-1].originalDts&&this.clear(),Array.prototype.push.apply(Le,Ae))}getLastSyncPointBeforeDts(Ae){if(this._list.length==0)return null;let Le=this._list,Ie=0,ze=Le.length-1,Ze=0,xt=0,bt=ze;for(Ae<Le[0].dts&&(Ie=0,xt=bt+1);xt<=bt;)if(Ze=xt+Math.floor((bt-xt)/2),Ze===ze||Ae>=Le[Ze].dts&&Ae<Le[Ze+1].dts){Ie=Ze;break}else Le[Ze].dts<Ae?xt=Ze+1:bt=Ze-1;return this._list[Ie]}}class Xn{constructor(Ae){this._type=Ae,this._list=[],this._lastAppendLocation=-1}get type(){return this._type}get length(){return this._list.length}isEmpty(){return this._list.length===0}clear(){this._list=[],this._lastAppendLocation=-1}_searchNearestSegmentBefore(Ae){let Le=this._list;if(Le.length===0)return-2;let Ie=Le.length-1,ze=0,Ze=0,xt=Ie,bt=0;if(Ae<Le[0].originalBeginDts)return bt=-1,bt;for(;Ze<=xt;)if(ze=Ze+Math.floor((xt-Ze)/2),ze===Ie||Ae>Le[ze].lastSample.originalDts&&Ae<Le[ze+1].originalBeginDts){bt=ze;break}else Le[ze].originalBeginDts<Ae?Ze=ze+1:xt=ze-1;return bt}_searchNearestSegmentAfter(Ae){return this._searchNearestSegmentBefore(Ae)+1}append(Ae){let Le=this._list,Ie=Ae,ze=this._lastAppendLocation,Ze=0;ze!==-1&&ze<Le.length&&Ie.originalBeginDts>=Le[ze].lastSample.originalDts&&(ze===Le.length-1||ze<Le.length-1&&Ie.originalBeginDts<Le[ze+1].originalBeginDts)?Ze=ze+1:Le.length>0&&(Ze=this._searchNearestSegmentBefore(Ie.originalBeginDts)+1),this._lastAppendLocation=Ze,this._list.splice(Ze,0,Ie)}getLastSegmentBefore(Ae){let Le=this._searchNearestSegmentBefore(Ae);return Le>=0?this._list[Le]:null}getLastSampleBefore(Ae){let Le=this.getLastSegmentBefore(Ae);return Le!=null?Le.lastSample:null}getLastSyncPointBefore(Ae){let Le=this._searchNearestSegmentBefore(Ae),Ie=this._list[Le].syncPoints;for(;Ie.length===0&&Le>0;)Le--,Ie=this._list[Le].syncPoints;return Ie.length>0?Ie[Ie.length-1]:null}}class $t{constructor(Ae){this.TAG="MP4Remuxer",this._config=Ae,this._isLive=Ae.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new Xn("audio"),this._videoSegmentInfoList=new Xn("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661)),this._fillSilentAfterSeek=oe.msedge||oe.msie,this._mp3UseMpegAudio=!oe.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(Ae){return Ae.onDataAvailable=this.remux.bind(this),Ae.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(Ae){this._onInitSegment=Ae}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(Ae){this._onMediaSegment=Ae}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(Ae){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(Ae,Le){if(!this._onMediaSegment)throw new Me("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(Ae,Le),this._remuxVideo(Le),this._remuxAudio(Ae)}_onTrackMetadataReceived(Ae,Le){let Ie=null,ze="mp4",Ze=Le.codec;if(Ae==="audio")this._audioMeta=Le,Le.codec==="mp3"&&this._mp3UseMpegAudio?(ze="mpeg",Ze="",Ie=new Uint8Array):Ie=wt.generateInitSegment(Le);else if(Ae==="video")this._videoMeta=Le,Ie=wt.generateInitSegment(Le);else return;if(!this._onInitSegment)throw new Me("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(Ae,{type:Ae,data:Ie.buffer,codec:Ze,container:`${Ae}/${ze}`,mediaDuration:Le.duration})}_calculateDtsBase(Ae,Le){this._dtsBaseInited||(Ae.samples&&Ae.samples.length&&(this._audioDtsBase=Ae.samples[0].dts),Le.samples&&Le.samples.length&&(this._videoDtsBase=Le.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let Ae=this._videoStashedLastSample,Le=this._audioStashedLastSample,Ie={type:"video",id:1,sequenceNumber:0,samples:[],length:0};Ae!=null&&(Ie.samples.push(Ae),Ie.length=Ae.length);let ze={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};Le!=null&&(ze.samples.push(Le),ze.length=Le.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(Ie,!0),this._remuxAudio(ze,!0)}_remuxAudio(Ae,Le){if(this._audioMeta==null)return;let Ie=Ae,ze=Ie.samples,Ze,xt=-1,bt=-1,Yt=-1,Ht=this._audioMeta.refSampleDuration,cn=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,dn=this._dtsBaseInited&&this._audioNextDts===void 0,Zn=!1;if(!ze||ze.length===0||ze.length===1&&!Le)return;let Mn=0,er=null,rr=0;cn?(Mn=0,rr=Ie.length):(Mn=8,rr=8+Ie.length);let mr=null;if(ze.length>1&&(mr=ze.pop(),rr-=mr.length),this._audioStashedLastSample!=null){let tr=this._audioStashedLastSample;this._audioStashedLastSample=null,ze.unshift(tr),rr+=tr.length}mr!=null&&(this._audioStashedLastSample=mr);let pn=ze[0].dts-this._dtsBase;if(this._audioNextDts)Ze=pn-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())Ze=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(Zn=!0);else{let tr=this._audioSegmentInfoList.getLastSampleBefore(pn);if(tr!=null){let hr=pn-(tr.originalDts+tr.duration);hr<=3&&(hr=0);let vr=tr.dts+tr.duration+hr;Ze=pn-vr}else Ze=0}if(Zn){let tr=pn-Ze,hr=this._videoSegmentInfoList.getLastSegmentBefore(pn);if(hr!=null&&hr.beginDts<tr){let vr=On.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);if(vr){let Bn=hr.beginDts,xr=tr-hr.beginDts;Ce.v(this.TAG,`InsertPrefixSilentAudio: dts: ${Bn}, duration: ${xr}`),ze.unshift({unit:vr,dts:Bn,pts:Bn}),rr+=vr.byteLength}}else Zn=!1}let tn=[];for(let tr=0;tr<ze.length;tr++){let hr=ze[tr],vr=hr.unit,Bn=hr.dts-this._dtsBase,xr=Bn-Ze;xt===-1&&(xt=xr);let Jn=0;tr!==ze.length-1?Jn=ze[tr+1].dts-this._dtsBase-Ze-xr:mr!=null?Jn=mr.dts-this._dtsBase-Ze-xr:tn.length>=1?Jn=tn[tn.length-1].duration:Jn=Math.floor(Ht);let Nr=!1,Xa=null;if(Jn>Ht*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!oe.safari){Nr=!0;let $a=Math.abs(Jn-Ht),ai=Math.ceil($a/Ht),Zr=xr+Ht;Ce.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync.
-dts: ${xr+Jn} ms, expected: ${xr+Math.round(Ht)} ms, delta: ${Math.round($a)} ms, generate: ${ai} frames`);let ua=On.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);ua==null&&(Ce.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),ua=vr),Xa=[];for(let sa=0;sa<ai;sa++){let Ja=Math.round(Zr);if(Xa.length>0){let Na=Xa[Xa.length-1];Na.duration=Ja-Na.dts}let Li={dts:Ja,pts:Ja,cts:0,unit:ua,size:ua.byteLength,duration:0,originalDts:Bn,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};Xa.push(Li),rr+=Li.size,Zr+=Ht}let Da=Xa[Xa.length-1];Da.duration=xr+Jn-Da.dts,Jn=Math.round(Ht)}tn.push({dts:xr,pts:xr,cts:0,unit:hr.unit,size:hr.unit.byteLength,duration:Jn,originalDts:Bn,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),Nr&&tn.push.apply(tn,Xa)}cn?er=new Uint8Array(rr):(er=new Uint8Array(rr),er[0]=rr>>>24&255,er[1]=rr>>>16&255,er[2]=rr>>>8&255,er[3]=rr&255,er.set(wt.types.mdat,4));for(let tr=0;tr<tn.length;tr++){let hr=tn[tr].unit;er.set(hr,Mn),Mn+=hr.byteLength}let Tn=tn[tn.length-1];bt=Tn.dts+Tn.duration,this._audioNextDts=bt;let Hn=new Gn;Hn.beginDts=xt,Hn.endDts=bt,Hn.beginPts=xt,Hn.endPts=bt,Hn.originalBeginDts=tn[0].originalDts,Hn.originalEndDts=Tn.originalDts+Tn.duration,Hn.firstSample=new zn(tn[0].dts,tn[0].pts,tn[0].duration,tn[0].originalDts,!1),Hn.lastSample=new zn(Tn.dts,Tn.pts,Tn.duration,Tn.originalDts,!1),this._isLive||this._audioSegmentInfoList.append(Hn),Ie.samples=tn,Ie.sequenceNumber++;let fr=null;cn?fr=new Uint8Array:fr=wt.moof(Ie,xt),Ie.samples=[],Ie.length=0;let br={type:"audio",data:this._mergeBoxes(fr,er).buffer,sampleCount:tn.length,info:Hn};cn&&dn&&(br.timestampOffset=xt),this._onMediaSegment("audio",br)}_remuxVideo(Ae,Le){if(this._videoMeta==null)return;let Ie=Ae,ze=Ie.samples,Ze,xt=-1,bt=-1,Yt=-1,Ht=-1;if(!ze||ze.length===0||ze.length===1&&!Le)return;let cn=8,dn=null,Zn=8+Ae.length,Mn=null;if(ze.length>1&&(Mn=ze.pop(),Zn-=Mn.length),this._videoStashedLastSample!=null){let Tn=this._videoStashedLastSample;this._videoStashedLastSample=null,ze.unshift(Tn),Zn+=Tn.length}Mn!=null&&(this._videoStashedLastSample=Mn);let er=ze[0].dts-this._dtsBase;if(this._videoNextDts)Ze=er-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())Ze=0;else{let Tn=this._videoSegmentInfoList.getLastSampleBefore(er);if(Tn!=null){let Hn=er-(Tn.originalDts+Tn.duration);Hn<=3&&(Hn=0);let fr=Tn.dts+Tn.duration+Hn;Ze=er-fr}else Ze=0}let rr=new Gn,mr=[];for(let Tn=0;Tn<ze.length;Tn++){let Hn=ze[Tn],fr=Hn.dts-this._dtsBase,br=Hn.isKeyframe,tr=fr-Ze,hr=Hn.cts,vr=tr+hr;xt===-1&&(xt=tr,Yt=vr);let Bn=0;if(Tn!==ze.length-1?Bn=ze[Tn+1].dts-this._dtsBase-Ze-tr:Mn!=null?Bn=Mn.dts-this._dtsBase-Ze-tr:mr.length>=1?Bn=mr[mr.length-1].duration:Bn=Math.floor(this._videoMeta.refSampleDuration),br){let xr=new zn(tr,vr,Bn,Hn.dts,!0);xr.fileposition=Hn.fileposition,rr.appendSyncPoint(xr)}mr.push({dts:tr,pts:vr,cts:hr,units:Hn.units,size:Hn.length,isKeyframe:br,duration:Bn,originalDts:fr,flags:{isLeading:0,dependsOn:br?2:1,isDependedOn:br?1:0,hasRedundancy:0,isNonSync:br?0:1}})}dn=new Uint8Array(Zn),dn[0]=Zn>>>24&255,dn[1]=Zn>>>16&255,dn[2]=Zn>>>8&255,dn[3]=Zn&255,dn.set(wt.types.mdat,4);for(let Tn=0;Tn<mr.length;Tn++){let Hn=mr[Tn].units;for(;Hn.length;){let br=Hn.shift().data;dn.set(br,cn),cn+=br.byteLength}}let pn=mr[mr.length-1];if(bt=pn.dts+pn.duration,Ht=pn.pts+pn.duration,this._videoNextDts=bt,rr.beginDts=xt,rr.endDts=bt,rr.beginPts=Yt,rr.endPts=Ht,rr.originalBeginDts=mr[0].originalDts,rr.originalEndDts=pn.originalDts+pn.duration,rr.firstSample=new zn(mr[0].dts,mr[0].pts,mr[0].duration,mr[0].originalDts,mr[0].isKeyframe),rr.lastSample=new zn(pn.dts,pn.pts,pn.duration,pn.originalDts,pn.isKeyframe),this._isLive||this._videoSegmentInfoList.append(rr),Ie.samples=mr,Ie.sequenceNumber++,this._forceFirstIDR){let Tn=mr[0].flags;Tn.dependsOn=2,Tn.isNonSync=0}let tn=wt.moof(Ie,xt);Ie.samples=[],Ie.length=0,this._onMediaSegment("video",{type:"video",data:this._mergeBoxes(tn,dn).buffer,sampleCount:mr.length,info:rr})}_mergeBoxes(Ae,Le){let Ie=new Uint8Array(Ae.byteLength+Le.byteLength);return Ie.set(Ae,0),Ie.set(Le,Ae.byteLength),Ie}}var gn=$t,Ln={IO_ERROR:"io_error",DEMUX_ERROR:"demux_error",INIT_SEGMENT:"init_segment",MEDIA_SEGMENT:"media_segment",LOADING_COMPLETE:"loading_complete",RECOVERED_EARLY_EOF:"recovered_early_eof",MEDIA_INFO:"media_info",METADATA_ARRIVED:"metadata_arrived",SCRIPTDATA_ARRIVED:"scriptdata_arrived",STATISTICS_INFO:"statistics_info",RECOMMEND_SEEKPOINT:"recommend_seekpoint"};class Sr{constructor(Ae,Le){this.TAG="TransmuxingController",this._emitter=new(Se()),this._config=Le,Ae.segments||(Ae.segments=[{duration:Ae.duration,filesize:Ae.filesize,url:Ae.url}]),typeof Ae.cors!="boolean"&&(Ae.cors=!0),typeof Ae.withCredentials!="boolean"&&(Ae.withCredentials=!1),this._mediaDataSource=Ae,this._currentSegmentIndex=0;let Ie=0;this._mediaDataSource.segments.forEach(ze=>{ze.timestampBase=Ie,Ie+=ze.duration,ze.cors=Ae.cors,ze.withCredentials=Ae.withCredentials,Le.referrerPolicy&&(ze.referrerPolicy=Le.referrerPolicy)}),!isNaN(Ie)&&this._mediaDataSource.duration!==Ie&&(this._mediaDataSource.duration=Ie),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(Ae,Le){this._emitter.addListener(Ae,Le)}off(Ae,Le){this._emitter.removeListener(Ae,Le)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(Ae,Le){this._currentSegmentIndex=Ae;let Ie=this._mediaDataSource.segments[Ae],ze=this._ioctl=new qe(Ie,this._config,Ae);ze.onError=this._onIOException.bind(this),ze.onSeeked=this._onIOSeeked.bind(this),ze.onComplete=this._onIOComplete.bind(this),ze.onRedirect=this._onIORedirect.bind(this),ze.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),Le?this._demuxer.bindDataSource(this._ioctl):ze.onDataArrival=this._onInitChunkArrival.bind(this),ze.open(Le)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(Ae){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let Le=this._searchSegmentIndexContains(Ae);if(Le===this._currentSegmentIndex){let Ie=this._mediaInfo.segments[Le];if(Ie==null)this._pendingSeekTime=Ae;else{let ze=Ie.getNearestKeyframe(Ae);this._remuxer.seek(ze.milliseconds),this._ioctl.seek(ze.fileposition),this._pendingResolveSeekPoint=ze.milliseconds}}else{let Ie=this._mediaInfo.segments[Le];if(Ie==null)this._pendingSeekTime=Ae,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(Le);else{let ze=Ie.getNearestKeyframe(Ae);this._internalAbort(),this._remuxer.seek(Ae),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[Le].timestampBase,this._loadSegment(Le,ze.fileposition),this._pendingResolveSeekPoint=ze.milliseconds,this._reportSegmentMediaInfo(Le)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(Ae){let Le=this._mediaDataSource.segments,Ie=Le.length-1;for(let ze=0;ze<Le.length;ze++)if(Ae<Le[ze].timestampBase){Ie=ze-1;break}return Ie}_onInitChunkArrival(Ae,Le){let Ie=null,ze=0;if(Le>0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,ze=this._demuxer.parseChunks(Ae,Le);else if((Ie=Qt.probe(Ae)).match){this._demuxer=new Qt(Ie,this._config),this._remuxer||(this._remuxer=new gn(this._config));let Ze=this._mediaDataSource;Ze.duration!=null&&!isNaN(Ze.duration)&&(this._demuxer.overridedDuration=Ze.duration),typeof Ze.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=Ze.hasAudio),typeof Ze.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=Ze.hasVideo),this._demuxer.timestampBase=Ze.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),ze=this._demuxer.parseChunks(Ae,Le)}else Ie=null,Ce.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(Ln.DEMUX_ERROR,Tt.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),ze=0;return ze}_onMediaInfo(Ae){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},Ae),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,jt.prototype));let Le=Object.assign({},Ae);Object.setPrototypeOf(Le,jt.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=Le,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let Ie=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(Ie)})}_onMetaDataArrived(Ae){this._emitter.emit(Ln.METADATA_ARRIVED,Ae)}_onScriptDataArrived(Ae){this._emitter.emit(Ln.SCRIPTDATA_ARRIVED,Ae)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(Ae){let Ie=Ae+1;Ie<this._mediaDataSource.segments.length?(this._internalAbort(),this._remuxer.flushStashedSamples(),this._loadSegment(Ie)):(this._remuxer.flushStashedSamples(),this._emitter.emit(Ln.LOADING_COMPLETE),this._disableStatisticsReporter())}_onIORedirect(Ae){let Le=this._ioctl.extraData;this._mediaDataSource.segments[Le].redirectedURL=Ae}_onIORecoveredEarlyEof(){this._emitter.emit(Ln.RECOVERED_EARLY_EOF)}_onIOException(Ae,Le){Ce.e(this.TAG,`IOException: type = ${Ae}, code = ${Le.code}, msg = ${Le.msg}`),this._emitter.emit(Ln.IO_ERROR,Ae,Le),this._disableStatisticsReporter()}_onDemuxException(Ae,Le){Ce.e(this.TAG,`DemuxException: type = ${Ae}, info = ${Le}`),this._emitter.emit(Ln.DEMUX_ERROR,Ae,Le)}_onRemuxerInitSegmentArrival(Ae,Le){this._emitter.emit(Ln.INIT_SEGMENT,Ae,Le)}_onRemuxerMediaSegmentArrival(Ae,Le){if(this._pendingSeekTime==null&&(this._emitter.emit(Ln.MEDIA_SEGMENT,Ae,Le),this._pendingResolveSeekPoint!=null&&Ae==="video")){let Ie=Le.info.syncPoints,ze=this._pendingResolveSeekPoint;this._pendingResolveSeekPoint=null,oe.safari&&Ie.length>0&&Ie[0].originalDts===ze&&(ze=Ie[0].pts),this._emitter.emit(Ln.RECOMMEND_SEEKPOINT,ze)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(Ae){let Le=this._mediaInfo.segments[Ae],Ie=Object.assign({},Le);Ie.duration=this._mediaInfo.duration,Ie.segmentCount=this._mediaInfo.segmentCount,delete Ie.segments,delete Ie.keyframesIndex,this._emitter.emit(Ln.MEDIA_INFO,Ie)}_reportStatisticsInfo(){let Ae={};Ae.url=this._ioctl.currentURL,Ae.hasRedirect=this._ioctl.hasRedirect,Ae.hasRedirect&&(Ae.redirectedURL=this._ioctl.currentRedirectedURL),Ae.speed=this._ioctl.currentSpeed,Ae.loaderType=this._ioctl.loaderType,Ae.currentSegmentIndex=this._currentSegmentIndex,Ae.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(Ln.STATISTICS_INFO,Ae)}}var Ur=Sr,Gr=function(pt){let Ae="TransmuxingWorker",Le=null,Ie=rr.bind(this);Ve.install(),pt.addEventListener("message",function(mr){switch(mr.data.cmd){case"init":Le=new Ur(mr.data.param[0],mr.data.param[1]),Le.on(Ln.IO_ERROR,Zn.bind(this)),Le.on(Ln.DEMUX_ERROR,Mn.bind(this)),Le.on(Ln.INIT_SEGMENT,ze.bind(this)),Le.on(Ln.MEDIA_SEGMENT,Ze.bind(this)),Le.on(Ln.LOADING_COMPLETE,xt.bind(this)),Le.on(Ln.RECOVERED_EARLY_EOF,bt.bind(this)),Le.on(Ln.MEDIA_INFO,Yt.bind(this)),Le.on(Ln.METADATA_ARRIVED,Ht.bind(this)),Le.on(Ln.SCRIPTDATA_ARRIVED,cn.bind(this)),Le.on(Ln.STATISTICS_INFO,dn.bind(this)),Le.on(Ln.RECOMMEND_SEEKPOINT,er.bind(this));break;case"destroy":Le&&(Le.destroy(),Le=null),pt.postMessage({msg:"destroyed"});break;case"start":Le.start();break;case"stop":Le.stop();break;case"seek":Le.seek(mr.data.param);break;case"pause":Le.pause();break;case"resume":Le.resume();break;case"logging_config":{let pn=mr.data.param;ht.applyConfig(pn),pn.enableCallback===!0?ht.addLogListener(Ie):ht.removeLogListener(Ie);break}}});function ze(mr,pn){let tn={msg:Ln.INIT_SEGMENT,data:{type:mr,data:pn}};pt.postMessage(tn,[pn.data])}function Ze(mr,pn){let tn={msg:Ln.MEDIA_SEGMENT,data:{type:mr,data:pn}};pt.postMessage(tn,[pn.data])}function xt(){let mr={msg:Ln.LOADING_COMPLETE};pt.postMessage(mr)}function bt(){let mr={msg:Ln.RECOVERED_EARLY_EOF};pt.postMessage(mr)}function Yt(mr){let pn={msg:Ln.MEDIA_INFO,data:mr};pt.postMessage(pn)}function Ht(mr){let pn={msg:Ln.METADATA_ARRIVED,data:mr};pt.postMessage(pn)}function cn(mr){let pn={msg:Ln.SCRIPTDATA_ARRIVED,data:mr};pt.postMessage(pn)}function dn(mr){let pn={msg:Ln.STATISTICS_INFO,data:mr};pt.postMessage(pn)}function Zn(mr,pn){pt.postMessage({msg:Ln.IO_ERROR,data:{type:mr,info:pn}})}function Mn(mr,pn){pt.postMessage({msg:Ln.DEMUX_ERROR,data:{type:mr,info:pn}})}function er(mr){pt.postMessage({msg:Ln.RECOMMEND_SEEKPOINT,data:mr})}function rr(mr,pn){pt.postMessage({msg:"logcat_callback",data:{type:mr,logcat:pn}})}};class ma{constructor(Ae,Le){if(this.TAG="Transmuxer",this._emitter=new(Se()),Le.enableWorker&&typeof Worker!="undefined")try{let Ie=Oe(82059);this._worker=Ie(Gr),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[Ae,Le]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},ht.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:ht.getConfig()})}catch(Ie){Ce.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new Ur(Ae,Le)}else this._controller=new Ur(Ae,Le);if(this._controller){let Ie=this._controller;Ie.on(Ln.IO_ERROR,this._onIOError.bind(this)),Ie.on(Ln.DEMUX_ERROR,this._onDemuxError.bind(this)),Ie.on(Ln.INIT_SEGMENT,this._onInitSegment.bind(this)),Ie.on(Ln.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),Ie.on(Ln.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),Ie.on(Ln.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),Ie.on(Ln.MEDIA_INFO,this._onMediaInfo.bind(this)),Ie.on(Ln.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),Ie.on(Ln.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),Ie.on(Ln.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),Ie.on(Ln.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),ht.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(Ae,Le){this._emitter.addListener(Ae,Le)}off(Ae,Le){this._emitter.removeListener(Ae,Le)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(Ae){this._worker?this._worker.postMessage({cmd:"seek",param:Ae}):this._controller.seek(Ae)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(Ae,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.INIT_SEGMENT,Ae,Le)})}_onMediaSegment(Ae,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.MEDIA_SEGMENT,Ae,Le)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(Ln.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(Ln.RECOVERED_EARLY_EOF)})}_onMediaInfo(Ae){Promise.resolve().then(()=>{this._emitter.emit(Ln.MEDIA_INFO,Ae)})}_onMetaDataArrived(Ae){Promise.resolve().then(()=>{this._emitter.emit(Ln.METADATA_ARRIVED,Ae)})}_onScriptDataArrived(Ae){Promise.resolve().then(()=>{this._emitter.emit(Ln.SCRIPTDATA_ARRIVED,Ae)})}_onStatisticsInfo(Ae){Promise.resolve().then(()=>{this._emitter.emit(Ln.STATISTICS_INFO,Ae)})}_onIOError(Ae,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.IO_ERROR,Ae,Le)})}_onDemuxError(Ae,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.DEMUX_ERROR,Ae,Le)})}_onRecommendSeekpoint(Ae){Promise.resolve().then(()=>{this._emitter.emit(Ln.RECOMMEND_SEEKPOINT,Ae)})}_onLoggingConfigChanged(Ae){this._worker&&this._worker.postMessage({cmd:"logging_config",param:Ae})}_onWorkerMessage(Ae){let Le=Ae.data,Ie=Le.data;if(Le.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(Le.msg){case Ln.INIT_SEGMENT:case Ln.MEDIA_SEGMENT:this._emitter.emit(Le.msg,Ie.type,Ie.data);break;case Ln.LOADING_COMPLETE:case Ln.RECOVERED_EARLY_EOF:this._emitter.emit(Le.msg);break;case Ln.MEDIA_INFO:Object.setPrototypeOf(Ie,jt.prototype),this._emitter.emit(Le.msg,Ie);break;case Ln.METADATA_ARRIVED:case Ln.SCRIPTDATA_ARRIVED:case Ln.STATISTICS_INFO:this._emitter.emit(Le.msg,Ie);break;case Ln.IO_ERROR:case Ln.DEMUX_ERROR:this._emitter.emit(Le.msg,Ie.type,Ie.info);break;case Ln.RECOMMEND_SEEKPOINT:this._emitter.emit(Le.msg,Ie);break;case"logcat_callback":Ce.emitter.emit("log",Ie.type,Ie.logcat);break;default:break}}}var Oa=ma,Ma={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class li{constructor(Ae){this.TAG="MSEController",this._config=Ae,this._emitter=new(Se()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new nr}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(Ae,Le){this._emitter.addListener(Ae,Le)}off(Ae,Le){this._emitter.removeListener(Ae,Le)}attachMediaElement(Ae){if(this._mediaSource)throw new Me("MediaSource has been attached to an HTMLMediaElement!");let Le=this._mediaSource=new window.MediaSource;Le.addEventListener("sourceopen",this.e.onSourceOpen),Le.addEventListener("sourceended",this.e.onSourceEnded),Le.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=Ae,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),Ae.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let Ae=this._mediaSource;for(let Le in this._sourceBuffers){let Ie=this._pendingSegments[Le];Ie.splice(0,Ie.length),this._pendingSegments[Le]=null,this._pendingRemoveRanges[Le]=null,this._lastInitSegments[Le]=null;let ze=this._sourceBuffers[Le];if(ze){if(Ae.readyState!=="closed"){try{Ae.removeSourceBuffer(ze)}catch(Ze){Ce.e(this.TAG,Ze.message)}ze.removeEventListener("error",this.e.onSourceBufferError),ze.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[Le]=null,this._sourceBuffers[Le]=null}}if(Ae.readyState==="open")try{Ae.endOfStream()}catch(Le){Ce.e(this.TAG,Le.message)}Ae.removeEventListener("sourceopen",this.e.onSourceOpen),Ae.removeEventListener("sourceended",this.e.onSourceEnded),Ae.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(Ae,Le){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(Ae),this._pendingSegments[Ae.type].push(Ae);return}let Ie=Ae,ze=`${Ie.container}`;Ie.codec&&Ie.codec.length>0&&(ze+=`;codecs=${Ie.codec}`);let Ze=!1;if(Ce.v(this.TAG,"Received Initialization Segment, mimeType: "+ze),this._lastInitSegments[Ie.type]=Ie,ze!==this._mimeTypes[Ie.type]){if(this._mimeTypes[Ie.type])Ce.v(this.TAG,`Notice: ${Ie.type} mimeType changed, origin: ${this._mimeTypes[Ie.type]}, target: ${ze}`);else{Ze=!0;try{let xt=this._sourceBuffers[Ie.type]=this._mediaSource.addSourceBuffer(ze);xt.addEventListener("error",this.e.onSourceBufferError),xt.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(xt){Ce.e(this.TAG,xt.message),this._emitter.emit(Ma.ERROR,{code:xt.code,msg:xt.message});return}}this._mimeTypes[Ie.type]=ze}Le||this._pendingSegments[Ie.type].push(Ie),Ze||this._sourceBuffers[Ie.type]&&!this._sourceBuffers[Ie.type].updating&&this._doAppendSegments(),oe.safari&&Ie.container==="audio/mpeg"&&Ie.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=Ie.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(Ae){let Le=Ae;this._pendingSegments[Le.type].push(Le),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let Ie=this._sourceBuffers[Le.type];Ie&&!Ie.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(Ae){for(let Le in this._sourceBuffers){if(!this._sourceBuffers[Le])continue;let Ie=this._sourceBuffers[Le];if(this._mediaSource.readyState==="open")try{Ie.abort()}catch(Ze){Ce.e(this.TAG,Ze.message)}this._idrList.clear();let ze=this._pendingSegments[Le];if(ze.splice(0,ze.length),this._mediaSource.readyState!=="closed"){for(let Ze=0;Ze<Ie.buffered.length;Ze++){let xt=Ie.buffered.start(Ze),bt=Ie.buffered.end(Ze);this._pendingRemoveRanges[Le].push({start:xt,end:bt})}if(Ie.updating||this._doRemoveRanges(),oe.safari){let Ze=this._lastInitSegments[Le];Ze&&(this._pendingSegments[Le].push(Ze),Ie.updating||this._doAppendSegments())}}}}endOfStream(){let Ae=this._mediaSource,Le=this._sourceBuffers;if(!Ae||Ae.readyState!=="open"){Ae&&Ae.readyState==="closed"&&this._hasPendingSegments()&&(this._hasPendingEos=!0);return}Le.video&&Le.video.updating||Le.audio&&Le.audio.updating?this._hasPendingEos=!0:(this._hasPendingEos=!1,Ae.endOfStream())}getNearestKeyframe(Ae){return this._idrList.getLastSyncPointBeforeDts(Ae)}_needCleanupSourceBuffer(){if(!this._config.autoCleanupSourceBuffer)return!1;let Ae=this._mediaElement.currentTime;for(let Le in this._sourceBuffers){let Ie=this._sourceBuffers[Le];if(Ie){let ze=Ie.buffered;if(ze.length>=1&&Ae-ze.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let Ae=this._mediaElement.currentTime;for(let Le in this._sourceBuffers){let Ie=this._sourceBuffers[Le];if(Ie){let ze=Ie.buffered,Ze=!1;for(let xt=0;xt<ze.length;xt++){let bt=ze.start(xt),Yt=ze.end(xt);if(bt<=Ae&&Ae<Yt+3){if(Ae-bt>=this._config.autoCleanupMaxBackwardDuration){Ze=!0;let Ht=Ae-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[Le].push({start:bt,end:Ht})}}else Yt<Ae&&(Ze=!0,this._pendingRemoveRanges[Le].push({start:bt,end:Yt}))}Ze&&!Ie.updating&&this._doRemoveRanges()}}}_updateMediaSourceDuration(){let Ae=this._sourceBuffers;if(this._mediaElement.readyState===0||this._mediaSource.readyState!=="open"||Ae.video&&Ae.video.updating||Ae.audio&&Ae.audio.updating)return;let Le=this._mediaSource.duration,Ie=this._pendingMediaDuration;Ie>0&&(isNaN(Le)||Ie>Le)&&(Ce.v(this.TAG,`Update MediaSource duration from ${Le} to ${Ie}`),this._mediaSource.duration=Ie),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let Ae in this._pendingRemoveRanges){if(!this._sourceBuffers[Ae]||this._sourceBuffers[Ae].updating)continue;let Le=this._sourceBuffers[Ae],Ie=this._pendingRemoveRanges[Ae];for(;Ie.length&&!Le.updating;){let ze=Ie.shift();Le.remove(ze.start,ze.end)}}}_doAppendSegments(){let Ae=this._pendingSegments;for(let Le in Ae)if(!(!this._sourceBuffers[Le]||this._sourceBuffers[Le].updating)&&Ae[Le].length>0){let Ie=Ae[Le].shift();if(Ie.timestampOffset){let ze=this._sourceBuffers[Le].timestampOffset,Ze=Ie.timestampOffset/1e3;Math.abs(ze-Ze)>.1&&(Ce.v(this.TAG,`Update MPEG audio timestampOffset from ${ze} to ${Ze}`),this._sourceBuffers[Le].timestampOffset=Ze),delete Ie.timestampOffset}if(!Ie.data||Ie.data.byteLength===0)continue;try{this._sourceBuffers[Le].appendBuffer(Ie.data),this._isBufferFull=!1,Le==="video"&&Ie.hasOwnProperty("info")&&this._idrList.appendArray(Ie.info.syncPoints)}catch(ze){this._pendingSegments[Le].unshift(Ie),ze.code===22?(this._isBufferFull||this._emitter.emit(Ma.BUFFER_FULL),this._isBufferFull=!0):(Ce.e(this.TAG,ze.message),this._emitter.emit(Ma.ERROR,{code:ze.code,msg:ze.message}))}}}_onSourceOpen(){if(Ce.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let Ae=this._pendingSourceBufferInit;for(;Ae.length;){let Le=Ae.shift();this.appendInitSegment(Le,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(Ma.SOURCE_OPEN)}_onSourceEnded(){Ce.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){Ce.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let Ae=this._pendingSegments;return Ae.video.length>0||Ae.audio.length>0}_hasPendingRemoveRanges(){let Ae=this._pendingRemoveRanges;return Ae.video.length>0||Ae.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(Ma.UPDATE_END)}_onSourceBufferError(Ae){Ce.e(this.TAG,`SourceBuffer Error: ${Ae}`)}}var di=li;const Hr={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},Ta={NETWORK_EXCEPTION:de.EXCEPTION,NETWORK_STATUS_CODE_INVALID:de.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:de.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:de.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:Tt.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:Tt.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:Tt.CODEC_UNSUPPORTED};class Ha{constructor(Ae,Le){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(Se()),this._config=at(),typeof Le=="object"&&Object.assign(this._config,Le),Ae.type.toLowerCase()!=="flv")throw new pe("FlvPlayer requires an flv MediaDataSource input!");Ae.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=Ae,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let Ie=oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661);this._alwaysSeekKeyframe=!!(Ie||oe.msedge||oe.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(Ae,Le){Ae===At.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(At.MEDIA_INFO,this.mediaInfo)}):Ae===At.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(At.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(Ae,Le)}off(Ae,Le){this._emitter.removeListener(Ae,Le)}attachMediaElement(Ae){if(this._mediaElement=Ae,Ae.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),Ae.addEventListener("seeking",this.e.onvSeeking),Ae.addEventListener("canplay",this.e.onvCanPlay),Ae.addEventListener("stalled",this.e.onvStalled),Ae.addEventListener("progress",this.e.onvProgress),this._msectl=new di(this._config),this._msectl.on(Ma.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(Ma.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(Ma.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(Ma.ERROR,Le=>{this._emitter.emit(At.ERROR,Hr.MEDIA_ERROR,Ta.MEDIA_MSE_ERROR,Le)}),this._msectl.attachMediaElement(Ae),this._pendingSeekTime!=null)try{Ae.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(Le){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new Me("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new Me("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new Oa(this._mediaDataSource,this._config),this._transmuxer.on(Ln.INIT_SEGMENT,(Ae,Le)=>{this._msectl.appendInitSegment(Le)}),this._transmuxer.on(Ln.MEDIA_SEGMENT,(Ae,Le)=>{if(this._msectl.appendMediaSegment(Le),this._config.lazyLoad&&!this._config.isLive){let Ie=this._mediaElement.currentTime;Le.info.endDts>=(Ie+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(Ce.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(Ln.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(At.LOADING_COMPLETE)}),this._transmuxer.on(Ln.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(At.RECOVERED_EARLY_EOF)}),this._transmuxer.on(Ln.IO_ERROR,(Ae,Le)=>{this._emitter.emit(At.ERROR,Hr.NETWORK_ERROR,Ae,Le)}),this._transmuxer.on(Ln.DEMUX_ERROR,(Ae,Le)=>{this._emitter.emit(At.ERROR,Hr.MEDIA_ERROR,Ae,{code:-1,msg:Le})}),this._transmuxer.on(Ln.MEDIA_INFO,Ae=>{this._mediaInfo=Ae,this._emitter.emit(At.MEDIA_INFO,Object.assign({},Ae))}),this._transmuxer.on(Ln.METADATA_ARRIVED,Ae=>{this._emitter.emit(At.METADATA_ARRIVED,Ae)}),this._transmuxer.on(Ln.SCRIPTDATA_ARRIVED,Ae=>{this._emitter.emit(At.SCRIPTDATA_ARRIVED,Ae)}),this._transmuxer.on(Ln.STATISTICS_INFO,Ae=>{this._statisticsInfo=this._fillStatisticsInfo(Ae),this._emitter.emit(At.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(Ln.RECOMMEND_SEEKPOINT,Ae=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=Ae/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(Ae){this._mediaElement.volume=Ae}get muted(){return this._mediaElement.muted}set muted(Ae){this._mediaElement.muted=Ae}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(Ae){this._mediaElement?this._internalSeek(Ae):this._pendingSeekTime=Ae}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(Ae){if(Ae.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return Ae;let Le=!0,Ie=0,ze=0;if(this._mediaElement.getVideoPlaybackQuality){let Ze=this._mediaElement.getVideoPlaybackQuality();Ie=Ze.totalVideoFrames,ze=Ze.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(Ie=this._mediaElement.webkitDecodedFrameCount,ze=this._mediaElement.webkitDroppedFrameCount):Le=!1;return Le&&(Ae.decodedFrames=Ie,Ae.droppedFrames=ze),Ae}_onmseUpdateEnd(){if(!this._config.lazyLoad||this._config.isLive)return;let Ae=this._mediaElement.buffered,Le=this._mediaElement.currentTime,Ie=0,ze=0;for(let Ze=0;Ze<Ae.length;Ze++){let xt=Ae.start(Ze),bt=Ae.end(Ze);if(xt<=Le&&Le<bt){Ie=xt,ze=bt;break}}ze>=Le+this._config.lazyLoadMaxDuration&&this._progressChecker==null&&(Ce.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}_onmseBufferFull(){Ce.v(this.TAG,"MSE SourceBuffer is full, suspend transmuxing task"),this._progressChecker==null&&this._suspendTransmuxer()}_suspendTransmuxer(){this._transmuxer&&(this._transmuxer.pause(),this._progressChecker==null&&(this._progressChecker=window.setInterval(this._checkProgressAndResume.bind(this),1e3)))}_checkProgressAndResume(){let Ae=this._mediaElement.currentTime,Le=this._mediaElement.buffered,Ie=!1;for(let ze=0;ze<Le.length;ze++){let Ze=Le.start(ze),xt=Le.end(ze);if(Ae>=Ze&&Ae<xt){Ae>=xt-this._config.lazyLoadRecoverDuration&&(Ie=!0);break}}Ie&&(window.clearInterval(this._progressChecker),this._progressChecker=null,Ie&&(Ce.v(this.TAG,"Continue loading from paused position"),this._transmuxer.resume()))}_isTimepointBuffered(Ae){let Le=this._mediaElement.buffered;for(let Ie=0;Ie<Le.length;Ie++){let ze=Le.start(Ie),Ze=Le.end(Ie);if(Ae>=ze&&Ae<Ze)return!0}return!1}_internalSeek(Ae){let Le=this._isTimepointBuffered(Ae),Ie=!1,ze=0;if(Ae<1&&this._mediaElement.buffered.length>0){let Ze=this._mediaElement.buffered.start(0);(Ze<1&&Ae<Ze||oe.safari)&&(Ie=!0,ze=oe.safari?.1:Ze)}if(Ie)this._requestSetTime=!0,this._mediaElement.currentTime=ze;else if(Le){if(!this._alwaysSeekKeyframe)this._requestSetTime=!0,this._mediaElement.currentTime=Ae;else{let Ze=this._msectl.getNearestKeyframe(Math.floor(Ae*1e3));this._requestSetTime=!0,Ze!=null?this._mediaElement.currentTime=Ze.dts/1e3:this._mediaElement.currentTime=Ae}this._progressChecker!=null&&this._checkProgressAndResume()}else this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._msectl.seek(Ae),this._transmuxer.seek(Math.floor(Ae*1e3)),this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=Ae)}_checkAndApplyUnbufferedSeekpoint(){if(this._seekpointRecord)if(this._seekpointRecord.recordTime<=this._now()-100){let 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HD(E){const{bgColor:a,textColor:y,nodeColor:x,nodeColorDisabled:b,nodeStroke:z,nodeHaloStrokeOpacityActive:te=.15,nodeHaloStrokeOpacitySelected:re=.25,nodeOpacityDisabled:ae=.06,nodeIconOpacityInactive:se=.85,nodeOpacityInactive:fe=.25,nodeBadgePalette:me=bV,nodePaletteOptions:xe=CV,edgeColor:Te,edgeColorDisabled:ke,edgePaletteOptions:We=PV,comboColor:je,comboColorDisabled:Ke,comboStroke:Qe,comboStrokeDisabled:Je,edgeColorInactive:rt}=E;return{background:a,node:{palette:xe,style:{donutOpacity:1,badgeBackgroundOpacity:1,badgeFill:"#fff",badgeFontSize:8,badgePadding:[0,4],badgePalette:me,fill:x,fillOpacity:1,halo:!1,iconFill:"#fff",iconOpacity:1,labelBackground:!1,labelBackgroundFill:a,labelBackgroundLineWidth:0,labelBackgroundOpacity:.75,labelFill:y,labelFillOpacity:.85,labelLineHeight:16,labelPadding:[0,2],labelFontSize:12,labelFontWeight:400,labelOpacity:1,labelOffsetY:2,lineWidth:0,portFill:x,portLineWidth:1,portStroke:z,portStrokeOpacity:.65,size:32,stroke:z,strokeOpacity:1,zIndex:2},state:{selected:{halo:!0,haloLineWidth:24,haloStrokeOpacity:re,labelFontSize:12,labelFontWeight:"bold",lineWidth:4,stroke:z},active:{halo:!0,haloLineWidth:12,haloStrokeOpacity:te},highlight:{labelFontWeight:"bold",lineWidth:4,stroke:z,strokeOpacity:.85},inactive:{badgeBackgroundOpacity:fe,donutOpacity:fe,fillOpacity:fe,iconOpacity:se,labelFill:y,labelFillOpacity:fe,strokeOpacity:fe},disabled:{badgeBackgroundOpacity:.25,donutOpacity:ae,fill:b,fillOpacity:ae,iconFill:b,iconOpacity:.25,labelFill:y,labelFillOpacity:.25,strokeOpacity:ae}},animation:{enter:"fade",exit:"fade",show:"fade",hide:"fade",expand:"node-expand",collapse:"node-collapse",update:[{fields:["x","y","fill","stroke"]}],translate:[{fields:["x","y"]}]}},edge:{palette:We,style:{badgeBackgroundFill:Te,badgeFill:"#fff",badgeFontSize:8,badgeOffsetX:10,fillOpacity:1,halo:!1,haloLineWidth:12,haloStrokeOpacity:1,increasedLineWidthForHitTesting:2,labelBackground:!1,labelBackgroundFill:a,labelBackgroundLineWidth:0,labelBackgroundOpacity:.75,labelBackgroundPadding:[4,4,4,4],labelFill:y,labelFontSize:12,labelFontWeight:400,labelOpacity:1,labelPlacement:"center",labelTextBaseline:"middle",lineWidth:1,stroke:Te,strokeOpacity:1,zIndex:1},state:{selected:{halo:!0,haloStrokeOpacity:.25,labelFontSize:14,labelFontWeight:"bold",lineWidth:3},active:{halo:!0,haloStrokeOpacity:.15},highlight:{labelFontWeight:"bold",lineWidth:3},inactive:{stroke:rt,fillOpacity:.08,labelOpacity:.25,strokeOpacity:.08,badgeBackgroundOpacity:.25},disabled:{stroke:ke,fillOpacity:.45,strokeOpacity:.45,labelOpacity:.25,badgeBackgroundOpacity:.45}},animation:{enter:"fade",exit:"fade",expand:"path-in",collapse:"path-out",show:"fade",hide:"fade",update:[{fields:["sourceNode","targetNode"]},{fields:["stroke"],shape:"key"}],translate:[{fields:["sourceNode","targetNode"]}]}},combo:{style:{collapsedMarkerFill:a,collapsedMarkerFontSize:12,collapsedMarkerFillOpacity:1,collapsedSize:32,collapsedFillOpacity:1,fill:je,halo:!1,haloLineWidth:12,haloStroke:Qe,haloStrokeOpacity:.25,labelBackground:!1,labelBackgroundFill:a,labelBackgroundLineWidth:0,labelBackgroundOpacity:.75,labelBackgroundPadding:[2,4,2,4],labelFill:y,labelFontSize:12,labelFontWeight:400,labelOpacity:1,lineDash:0,lineWidth:1,fillOpacity:.04,strokeOpacity:1,padding:10,stroke:Qe},state:{selected:{halo:!0,labelFontSize:14,labelFontWeight:700,lineWidth:4},active:{halo:!0},highlight:{labelFontWeight:700,lineWidth:4},inactive:{fillOpacity:.65,labelOpacity:.25,strokeOpacity:.65},disabled:{fill:Ke,fillOpacity:.25,labelOpacity:.25,stroke:Je,strokeOpacity:.25}},animation:{enter:"fade",exit:"fade",show:"fade",hide:"fade",expand:"combo-expand",collapse:"combo-collapse",update:[{fields:["x","y"]},{fields:["fill","stroke","lineWidth"],shape:"key"}],translate:[{fields:["x","y"]}]}}}}const 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a==="node"?this.getNodeData():a==="edge"?this.getEdgeData():a==="combo"?this.getComboData():[]}getElementDataById(a){return this.getElementType(a)==="edge"?this.getEdgeDatum(a):this.getNodeLikeDatum(a)}getNodeLikeDatum(a){const y=this.model.getNode(a);return Su(y)}getNodeLikeData(a){return this.model.getAllNodes().reduce((y,x)=>{const b=Su(x);return a?a.includes(_r(b))&&y.push(b):y.push(b),y},[])}getElementDataByState(a,y){return this.getElementsDataByType(a).filter(b=>{var z;return(z=b.states)===null||z===void 0?void 0:z.includes(y)})}getElementState(a){var y;return((y=this.getElementDataById(a))===null||y===void 0?void 0:y.states)||[]}hasNode(a){return this.model.hasNode(a)&&!this.isCombo(a)}hasEdge(a){return this.model.hasEdge(a)}hasCombo(a){return this.model.hasNode(a)&&this.isCombo(a)}getRelatedEdgesData(a,y="both"){return this.model.getRelatedEdges(a,y).map(Su)}getNeighborNodesData(a){return this.model.getNeighbors(a).map(Su)}setData(a){const{nodes:y=[],edges:x=[],combos:b=[]}=a,{nodes:z,edges:te,combos:re}=this.getData(),ae=ch(z,y,me=>_r(me),I0),se=ch(te,x,me=>_r(me),I0),fe=ch(re,b,me=>_r(me),I0);this.batch(()=>{const me={nodes:ae.enter,edges:se.enter,combos:fe.enter};this.addData(me),this.computeZIndex(me,"add",!0);const xe={nodes:ae.update,edges:se.update,combos:fe.update};this.updateData(xe),this.computeZIndex(xe,"update",!0);const 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x=this.getNodeLikeDatum(a),b=y.map(_r);this.addNodeData(y),this.updateNodeData([{id:a,children:[...x.children||[],...b]}]),this.addEdgeData(b.map(z=>({source:a,target:z})))}computeZIndex(a,y,x=!1){!x&&this.isBatching()||this.batch(()=>{const{nodes:b=[],edges:z=[],combos:te=[]}=a;te.forEach(re=>{var ae,se,fe;const me=_r(re);if(y==="add"&&Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re))return;const xe=this.getParentData(me,rl),Te=xe?((fe=(se=xe.style)===null||se===void 0?void 0:se.zIndex)!==null&&fe!==void 0?fe:0)+1:0;this.preventUpdateNodeLikeHierarchy(()=>{this.updateComboData([{id:me,style:{zIndex:Te}}])})}),b.forEach(re=>{var ae,se,fe;const me=_r(re);if(y==="add"&&Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex)||y==="update"&&!("combo"in re)&&!("children"in re))return;let xe=0;const Te=this.getParentData(me,rl);if(Te)xe=(((se=Te.style)===null||se===void 0?void 0:se.zIndex)||0)+1;else{const ke=this.getParentData(me,Fc);ke&&(xe=((fe=ke==null?void 0:ke.style)===null||fe===void 0?void 0:fe.zIndex)||0)}this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:me,style:{zIndex:xe}}])})}),z.forEach(re=>{var ae,se,fe,me,xe;if(Oi((ae=re.style)===null||ae===void 0?void 0:ae.zIndex))return;let{id:Te,source:ke,target:We}=re;if(!Te)Te=_r(re);else{const Qe=this.getEdgeDatum(Te);ke=Qe.source,We=Qe.target}if(!ke||!We)return;const je=((fe=(se=this.getNodeLikeDatum(ke))===null||se===void 0?void 0:se.style)===null||fe===void 0?void 0:fe.zIndex)||0,Ke=((xe=(me=this.getNodeLikeDatum(We))===null||me===void 0?void 0:me.style)===null||xe===void 0?void 0:xe.zIndex)||0;this.updateEdgeData([{id:_r(re),style:{zIndex:Math.max(je,Ke)-1}}])})})}getFrontZIndex(a){var y;const x=this.getElementType(a),b=this.getElementDataById(a),z=this.getData();if(Object.assign(z,{[`${x}s`]:z[`${x}s`].filter(te=>_r(te)!==a)}),x==="combo"&&!xc(b)){const te=new Set(this.getAncestorsData(a,rl).map(_r));z.nodes=z.nodes.filter(re=>!te.has(_r(re))),z.combos=z.combos.filter(re=>!te.has(_r(re))),z.edges=z.edges.filter(({source:re,target:ae})=>!te.has(re)&&!te.has(ae))}return Math.max(((y=b.style)===null||y===void 0?void 0:y.zIndex)||0,0,...Object.values(z).flat().map(te=>{var re;return(((re=te==null?void 0:te.style)===null||re===void 0?void 0:re.zIndex)||0)+1}))}updateNodeLikeHierarchy(a){if(!this.enableUpdateNodeLikeHierarchy)return;const{model:y}=this;a.forEach(x=>{const b=_r(x),z=Ep(x);z!==void 0&&(y.hasTreeStructure(rl)||y.attachTreeStructure(rl),z===null&&this.refreshComboData(b),this.setParent(b,Ep(x),rl));const te=x.children||[];if(te.length){y.hasTreeStructure(Fc)||y.attachTreeStructure(Fc);const re=te.filter(ae=>y.hasNode(ae));re.forEach(ae=>this.setParent(ae,b,Fc)),re.length!==te.length&&this.updateNodeData([{id:b,children:re}])}})}preventUpdateNodeLikeHierarchy(a){this.enableUpdateNodeLikeHierarchy=!1,a(),this.enableUpdateNodeLikeHierarchy=!0}updateData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.updateNodeData(y),this.updateComboData(b),this.updateEdgeData(x)}),this.computeZIndex(a,"update")}updateNodeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{const x=[];a.forEach(b=>{const z=_r(b),te=Su(y.getNode(z));if(I0(te,b))return;const re=wh(te,b);this.pushChange({value:re,original:te,type:gl.NodeUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({nodes:a},"update")}refreshData(){const{nodes:a,edges:y,combos:x}=this.getData();a.forEach(b=>{this.pushChange({value:b,original:b,type:gl.NodeUpdated})}),y.forEach(b=>{this.pushChange({value:b,original:b,type:gl.EdgeUpdated})}),x.forEach(b=>{this.pushChange({value:b,original:b,type:gl.ComboUpdated})})}syncNodeLikeDatum(a){const{model:y}=this,x=_r(a);if(!y.hasNode(x))return;const b=Su(y.getNode(x)),z=wh(b,a);y.mergeNodeData(x,z)}syncEdgeDatum(a){const{model:y}=this,x=_r(a);if(!y.hasEdge(x))return;const b=Su(y.getEdge(x)),z=wh(b,a);y.mergeEdgeData(x,z)}updateEdgeData(a=[]){if(!a.length)return;const{model:y}=this;this.batch(()=>{a.forEach(x=>{const b=_r(x),z=Su(y.getEdge(b));if(I0(z,x))return;x.source&&z.source!==x.source&&y.updateEdgeSource(b,x.source),x.target&&z.target!==x.target&&y.updateEdgeTarget(b,x.target);const te=wh(z,x);this.pushChange({value:te,original:z,type:gl.EdgeUpdated}),y.mergeEdgeData(b,te)})}),this.computeZIndex({edges:a},"update")}updateComboData(a=[]){if(!a.length)return;const{model:y}=this;y.batch(()=>{const x=[];a.forEach(b=>{const z=_r(b),te=Su(y.getNode(z));if(I0(te,b))return;const re=wh(te,b);this.pushChange({value:re,original:te,type:gl.ComboUpdated}),y.mergeNodeData(z,re),x.push(re)}),this.updateNodeLikeHierarchy(x)}),this.computeZIndex({combos:a},"update")}setParent(a,y,x,b=!0){if(a===y)return;const z=this.getNodeLikeDatum(a),te=Ep(z);if(te!==y&&x===rl){const re={id:a,combo:y};this.isCombo(a)?this.syncNodeLikeDatum(re):this.syncNodeLikeDatum(re)}this.model.setParent(a,y,x),b&&x===rl&&WV([te,y]).forEach(re=>{re!==void 0&&this.refreshComboData(re)})}refreshComboData(a){const y=this.getComboData([a])[0],x=this.getAncestorsData(a,rl);y&&this.pushChange({value:y,original:y,type:gl.ComboUpdated}),x.forEach(b=>{this.pushChange({value:b,original:b,type:gl.ComboUpdated})})}getElementPosition(a){const y=this.getElementDataById(a);return uu(y)}translateNodeLikeBy(a,y){this.isCombo(a)?this.translateComboBy(a,y):this.translateNodeBy(a,y)}translateNodeLikeTo(a,y){this.isCombo(a)?this.translateComboTo(a,y):this.translateNodeTo(a,y)}translateNodeBy(a,y){const x=this.getElementPosition(a),b=Ho(x,[...y,0].slice(0,3));this.translateNodeTo(a,b)}translateNodeTo(a,y){const[x=0,b=0,z=0]=y;this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:a,style:{x,y:b,z}}])})}translateComboBy(a,y){const[x=0,b=0,z=0]=y;if([x,b,z].some(isNaN)||[x,b,z].every(ae=>ae===0))return;const te=this.getComboData([a])[0];if(!te)return;const re=new Set;yg(te,ae=>{const se=_r(ae);if(re.has(se))return;re.add(se);const[fe,me,xe]=uu(ae),Te=wh(ae,{style:{x:fe+x,y:me+b,z:xe+z}});this.pushChange({value:Te,original:ae,type:this.isCombo(se)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(se,Te)},ae=>this.getChildrenData(_r(ae)),"BT")}translateComboTo(a,y){var x;if(y.some(isNaN))return;const[b=0,z=0,te=0]=y,re=(x=this.getComboData([a]))===null||x===void 0?void 0:x[0];if(!re)return;const[ae,se,fe]=uu(re),me=b-ae,xe=z-se,Te=te-fe;yg(re,ke=>{const We=_r(ke),[je,Ke,Qe]=uu(ke),Je=wh(ke,{style:{x:je+me,y:Ke+xe,z:Qe+Te}});this.pushChange({value:Je,original:ke,type:this.isCombo(We)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(We,Je)},ke=>this.getChildrenData(_r(ke)),"BT")}removeData(a){const{nodes:y,edges:x,combos:b}=a;this.batch(()=>{this.removeEdgeData(x),this.removeNodeData(y),this.removeComboData(b),this.latestRemovedComboIds=new Set(b)})}removeNodeData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.removeEdgeData(this.getRelatedEdgesData(y).map(_r)),this.pushChange({value:this.getNodeData([y])[0],type:gl.NodeRemoved}),this.removeNodeLikeHierarchy(y)}),this.model.removeNodes(a)})}removeEdgeData(a=[]){a.length&&(a.forEach(y=>this.pushChange({value:this.getEdgeData([y])[0],type:gl.EdgeRemoved})),this.model.removeEdges(a))}removeComboData(a=[]){a.length&&this.batch(()=>{a.forEach(y=>{this.pushChange({value:this.getComboData([y])[0],type:gl.ComboRemoved}),this.removeNodeLikeHierarchy(y),this.comboIds.delete(y)}),this.model.removeNodes(a)})}removeNodeLikeHierarchy(a){if(this.model.hasTreeStructure(rl)){const y=Ep(this.getNodeLikeDatum(a));this.setParent(a,void 0,rl,!1),this.model.getChildren(a,rl).forEach(x=>{const b=Su(x),z=_r(b);this.setParent(_r(b),y,rl,!1);const te=wh(b,{id:_r(b),combo:y});this.pushChange({value:te,original:b,type:this.isCombo(z)?gl.ComboUpdated:gl.NodeUpdated}),this.model.mergeNodeData(_r(b),te)}),fo(y)||this.refreshComboData(y)}}getElementType(a){if(this.model.hasNode(a))return this.isCombo(a)?"combo":"node";if(this.model.hasEdge(a))return"edge";throw new Error(If(`Unknown element type of id: ${a}`))}destroy(){const{model:a}=this,y=a.getAllNodes(),x=a.getAllEdges();a.removeEdges(x.map(b=>b.id)),a.removeNodes(y.map(b=>b.id)),this.context={}}}var Kv=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class HV{constructor(a){this.elementMap={},this.shapeTypeMap={},this.paletteStyle={},this.defaultStyle={},this.stateStyle={},this.visibilityCache=new WeakMap,this.context=a}init(){this.initContainer()}initContainer(){if(!this.container||this.container.destroyed){const{canvas:a}=this.context;this.container=a.appendChild(new lu({className:"elements"}))}}emit(a,y){y.silence||du(this.context.graph,a)}forEachElementData(a){pg.forEach(y=>{const x=this.context.model.getElementsDataByType(y);a(y,x)})}getElementType(a,y){var x;const{options:b,graph:z}=this.context,te=((x=b[a])===null||x===void 0?void 0:x.type)||y.type;return te?typeof te=="string"?te:te.call(z,y):a==="edge"?"line":"circle"}getTheme(a){return jP(this.context.options)[a]||{}}getThemeStyle(a){return this.getTheme(a).style||{}}getThemeStateStyle(a,y){const{state:x={}}=this.getTheme(a);return Object.assign({},...y.map(b=>x[b]||{}))}computePaletteStyle(){const{options:a}=this.context;this.paletteStyle={},this.forEachElementData((y,x)=>{var b,z;const te=Object.assign({},ew((b=this.getTheme(y))===null||b===void 0?void 0:b.palette),ew((z=a[y])===null||z===void 0?void 0:z.palette));te!=null&&te.field&&Object.assign(this.paletteStyle,I_(x,te))})}getPaletteStyle(a,y){const x=this.paletteStyle[y];return x?a==="edge"?{stroke:x}:{fill:x}:{}}computeElementDefaultStyle(a,y){var x;const{options:b}=this.context,z=((x=b[a])===null||x===void 0?void 0:x.style)||{};"transform"in z&&Array.isArray(z.transform)&&(z.transform=[...z.transform]),this.defaultStyle[_r(y.datum)]=$2(z,y)}computeElementsDefaultStyle(a){const{graph:y}=this.context;this.forEachElementData((x,b)=>{const z=b.length;for(let te=0;te<z;te++){const re=b[te];(a===void 0||a.includes(_r(re)))&&this.computeElementDefaultStyle(x,{datum:re,graph:y})}})}getDefaultStyle(a){return this.defaultStyle[a]||{}}getElementState(a){try{const{model:y}=this.context;return y.getElementState(a)}catch(y){return[]}}getElementStateStyle(a,y,x){var b,z;const{options:te}=this.context,re=((z=(b=te[a])===null||b===void 0?void 0:b.state)===null||z===void 0?void 0:z[y])||{};return $2(re,x)}computeElementStatesStyle(a,y,x){this.stateStyle[_r(x.datum)]=Object.assign({},...y.map(b=>this.getElementStateStyle(a,b,x)))}computeElementsStatesStyle(a){const{graph:y}=this.context;this.forEachElementData((x,b)=>{const z=b.length;for(let te=0;te<z;te++){const re=b[te];if(a===void 0||a.includes(_r(re))){const ae=this.getElementState(_r(re));this.computeElementStatesStyle(x,ae,{datum:re,graph:y})}}})}getStateStyle(a){return this.stateStyle[a]||{}}computeStyle(a,y){a&&["translate","zIndex"].includes(a)||(this.computePaletteStyle(),this.computeElementsDefaultStyle(y),this.computeElementsStatesStyle(y))}getElement(a){return this.elementMap[a]}getNodes(){return this.context.model.getNodeData().map(({id:a})=>this.elementMap[a])}getEdges(){return this.context.model.getEdgeData().map(a=>this.elementMap[_r(a)])}getCombos(){return this.context.model.getComboData().map(({id:a})=>this.elementMap[a])}getElementComputedStyle(a,y){const x=_r(y),b=this.getThemeStyle(a),z=this.getPaletteStyle(a,x),te=y.style||{},re=this.getDefaultStyle(x),ae=this.getThemeStateStyle(a,this.getElementState(x)),se=this.getStateStyle(x),fe=Object.assign({},b,z,te,re,ae,se);if(a==="combo"){const me=this.context.model.getChildrenData(x),Te=!!fe.collapsed?[]:me.map(_r).filter(ke=>this.getElement(ke));Object.assign(fe,{childrenNode:Te,childrenData:me})}return fe}getDrawData(a){this.init();const y=this.computeChangesAndDrawData(a);if(!y)return null;const{type:x="draw",stage:b=x}=a;return this.markDestroyElement(y.drawData),this.computeStyle(b),{type:x,stage:b,data:y}}draw(a={animation:!0}){const y=this.getDrawData(a);if(!y)return;const{data:{drawData:{add:x,update:b,remove:z}}}=y;return this.destroyElements(z,a),this.createElements(x,a),this.updateElements(b,a),this.setAnimationTask(a,y)}preLayoutDraw(){return Kv(this,arguments,void 0,function*(a={animation:!0}){var y,x;const b=this.getDrawData(a);if(!b)return;const{data:{drawData:z}}=b;yield(x=(y=this.context.layout)===null||y===void 0?void 0:y.preLayout)===null||x===void 0?void 0:x.call(y,z);const{add:te,update:re,remove:ae}=z;return this.destroyElements(ae,a),this.createElements(te,a),this.updateElements(re,a),this.setAnimationTask(a,b)})}setAnimationTask(a,y){const{animation:x,silence:b}=a,{data:{dataChanges:z,drawData:te},stage:re,type:ae}=y;return this.context.animation.animate(x,b?{}:{before:()=>this.emit(new nu(ci.BEFORE_DRAW,{dataChanges:z,animation:x,stage:re,render:ae==="render"}),a),beforeAnimate:se=>this.emit(new hd(ci.BEFORE_ANIMATE,Ec.DRAW,se,te),a),afterAnimate:se=>this.emit(new hd(ci.AFTER_ANIMATE,Ec.DRAW,se,te),a),after:()=>this.emit(new nu(ci.AFTER_DRAW,{dataChanges:z,animation:x,stage:re,render:ae==="render",firstRender:this.context.graph.rendered===!1}),a)})}computeChangesAndDrawData(a){const{model:y}=this.context,x=y.getChanges(),b=wx(x);if(b.length===0)return null;const{NodeAdded:z=[],NodeUpdated:te=[],NodeRemoved:re=[],EdgeAdded:ae=[],EdgeUpdated:se=[],EdgeRemoved:fe=[],ComboAdded:me=[],ComboUpdated:xe=[],ComboRemoved:Te=[]}=ip(b,Ke=>Ke.type),ke=Ke=>new Map(Ke.map(Qe=>{const Je=Qe.value;return[_r(Je),Je]})),We={add:{nodes:ke(z),edges:ke(ae),combos:ke(me)},update:{nodes:ke(te),edges:ke(se),combos:ke(xe)},remove:{nodes:ke(re),edges:ke(fe),combos:ke(Te)}},je=this.transformData(We,a);return y.clearChanges(),{dataChanges:x,drawData:je}}transformData(a,y){const x=this.context.transform.getTransformInstance();return Object.values(x).reduce((b,z)=>z.beforeDraw(b,y),a)}createElement(a,y,x){var b;const z=_r(y);if(this.getElement(z))return;const re=this.getElementType(a,y),ae=this.getElementComputedStyle(a,y),se=Df(a,re);if(!se)return Ac.warn(`The element ${re} of ${a} is not registered.`);this.emit(new M0(ci.BEFORE_ELEMENT_CREATE,a,y),x);const fe=this.container.appendChild(new se({id:z,context:this.context,style:ae}));this.shapeTypeMap[z]=re,this.elementMap[z]=fe;const{stage:me="enter"}=x;(b=this.context.animation)===null||b===void 0||b.add({element:fe,elementType:a,stage:me,originalStyle:Object.assign({},fe.attributes),updatedStyle:ae},{after:()=>{var xe;this.emit(new M0(ci.AFTER_ELEMENT_CREATE,a,y),x),(xe=fe.onCreate)===null||xe===void 0||xe.call(fe)}})}createElements(a,y){const{nodes:x,edges:b,combos:z}=a;[["node",x],["combo",z],["edge",b]].forEach(([re,ae])=>{ae.forEach(se=>this.createElement(re,se,y))})}getUpdateStageStyle(a,y,x){const{stage:b="update"}=x;if(b==="translate")if(a==="node"||a==="combo"){const{style:{x:z=0,y:te=0,z:re=0}={}}=y;return{x:z,y:te,z:re}}else return{};return this.getElementComputedStyle(a,y)}updateElement(a,y,x){var b;const z=_r(y),{stage:te="update"}=x,re=this.getElement(z);if(!re)return()=>null;this.emit(new M0(ci.BEFORE_ELEMENT_UPDATE,a,y),x);const ae=this.getElementType(a,y),se=this.getUpdateStageStyle(a,y,x);this.shapeTypeMap[z]!==ae&&(re.destroy(),delete this.shapeTypeMap[z],delete this.elementMap[z],this.createElement(a,y,{animation:!1,silence:!0}));const fe=te!=="visibility"?te:se.visibility==="hidden"?"hide":"show";fe==="hide"&&delete se.visibility,(b=this.context.animation)===null||b===void 0||b.add({element:re,elementType:a,stage:fe,originalStyle:Object.assign({},re.attributes),updatedStyle:se},{before:()=>{const me=this.elementMap[z];te!=="collapse"&&ZA(me,se),te==="visibility"&&(FV(me,"opacity")||_V(me,"opacity"),this.visibilityCache.set(me,fe==="show"?"visible":"hidden"),fe==="show"&&vg(me,"visible"))},after:()=>{var me;const xe=this.elementMap[z];te==="collapse"&&ZA(xe,se),fe==="hide"&&vg(xe,this.visibilityCache.get(xe)),this.emit(new M0(ci.AFTER_ELEMENT_UPDATE,a,y),x),(me=xe.onUpdate)===null||me===void 0||me.call(xe)}})}updateElements(a,y){const{nodes:x,edges:b,combos:z}=a;[["node",x],["combo",z],["edge",b]].forEach(([re,ae])=>{ae.forEach(se=>this.updateElement(re,se,y))})}markDestroyElement(a){Object.values(a.remove).forEach(y=>{y.forEach(x=>{const b=_r(x),z=this.getElement(b);z&&j8(z)})})}destroyElement(a,y,x){var b;const{stage:z="exit"}=x,te=_r(y),re=this.elementMap[te];if(!re)return()=>null;this.emit(new M0(ci.BEFORE_ELEMENT_DESTROY,a,y),x),(b=this.context.animation)===null||b===void 0||b.add({element:re,elementType:a,stage:z,originalStyle:Object.assign({},re.attributes),updatedStyle:{}},{after:()=>{var ae;this.clearElement(te),re.destroy(),(ae=re.onDestroy)===null||ae===void 0||ae.call(re),this.emit(new M0(ci.AFTER_ELEMENT_DESTROY,a,y),x)}})}destroyElements(a,y){const{nodes:x,edges:b,combos:z}=a;[["combo",z],["edge",b],["node",x]].forEach(([re,ae])=>{ae.forEach(se=>this.destroyElement(re,se,y))})}clearElement(a){delete this.paletteStyle[a],delete this.defaultStyle[a],delete this.stateStyle[a],delete this.elementMap[a],delete this.shapeTypeMap[a]}alignLayoutResultToElement(a,y){var x,b;const z=(x=a.nodes)===null||x===void 0?void 0:x.find(te=>_r(te)===y);if(z){const te=uu(this.context.model.getNodeLikeDatum(y)),re=uu(z),ae=qs(te,re);(b=a.nodes)===null||b===void 0||b.forEach(se=>{var fe,me,xe;!((fe=se.style)===null||fe===void 0)&&fe.x&&(se.style.x+=ae[0]),!((me=se.style)===null||me===void 0)&&me.y&&(se.style.y+=ae[1]),!((xe=se.style)===null||xe===void 0)&&xe.z&&(se.style.z+=ae[2]||0)})}}collapseNode(a,y){return Kv(this,void 0,void 0,function*(){var x;const{animation:b,align:z}=y,{model:te,layout:re}=this.context,ae=this.computeChangesAndDrawData({stage:"collapse",animation:b});if(!ae)return;this.markDestroyElement(ae.drawData);const se=yield re.simulate();z&&this.alignLayoutResultToElement(se,a),te.updateData(se);const fe=this.computeChangesAndDrawData({stage:"collapse",animation:b});if(!fe)return;const{drawData:me}=fe,{add:xe,remove:Te,update:ke}=me;this.markDestroyElement(me);const We={animation:b,stage:"collapse",data:me};this.destroyElements(Te,We),this.createElements(xe,We),this.updateElements(ke,We),yield(x=this.context.animation.animate(b,{beforeAnimate:je=>this.emit(new hd(ci.BEFORE_ANIMATE,Ec.COLLAPSE,je,me),We),afterAnimate:je=>this.emit(new hd(ci.AFTER_ANIMATE,Ec.COLLAPSE,je,me),We)},{collapse:{target:a,descendants:Array.from(Te.nodes).map(([,je])=>_r(je)),position:uu(ke.nodes.get(a))}}))===null||x===void 0?void 0:x.finished})}expandNode(a,y){return Kv(this,void 0,void 0,function*(){var x;const{model:b,layout:z}=this.context,{animation:te,align:re}=y,ae=uu(b.getNodeData([a])[0]),se=this.computeChangesAndDrawData({stage:"expand",animation:te});if(!se)return;const{drawData:{add:fe}}=se;this.createElements(fe,{animation:!1,stage:"expand",target:a}),this.context.animation.clear();const me=yield z.simulate();re&&this.alignLayoutResultToElement(me,a),b.updateData(me),this.computeStyle("expand");const xe=this.computeChangesAndDrawData({stage:"collapse",animation:te});if(!xe)return;const{drawData:Te}=xe,{update:ke}=Te,We={animation:te,stage:"expand",data:Te};fe.edges.forEach(je=>ke.edges.set(_r(je),je)),fe.nodes.forEach(je=>ke.nodes.set(_r(je),je)),this.updateElements(ke,We),yield(x=this.context.animation.animate(te,{beforeAnimate:je=>this.emit(new hd(ci.BEFORE_ANIMATE,Ec.EXPAND,je,Te),We),afterAnimate:je=>this.emit(new hd(ci.AFTER_ANIMATE,Ec.EXPAND,je,Te),We)},{expand:{target:a,descendants:Array.from(fe.nodes).map(([,je])=>_r(je)),position:ae}}))===null||x===void 0?void 0:x.finished})}collapseCombo(a,y){return Kv(this,void 0,void 0,function*(){var x;const{model:b,element:z}=this.context;if(b.getAncestorsData(a,rl).some(We=>xc(We)))return;const te=z.getElement(a),re=te.getComboPosition(Object.assign(Object.assign({},te.attributes),{collapsed:!0})),ae=this.computeChangesAndDrawData({stage:"collapse",animation:y});if(!ae)return;const{dataChanges:se,drawData:fe}=ae;this.markDestroyElement(fe);const{update:me,remove:xe}=fe,Te={animation:y,stage:"collapse",data:fe};this.destroyElements(xe,Te),this.updateElements(me,Te);const ke=We=>Array.from(We).map(([,je])=>_r(je));yield(x=this.context.animation.animate(y,{before:()=>this.emit(new nu(ci.BEFORE_DRAW,{dataChanges:se,animation:y}),Te),beforeAnimate:We=>this.emit(new hd(ci.BEFORE_ANIMATE,Ec.COLLAPSE,We,fe),Te),afterAnimate:We=>this.emit(new hd(ci.AFTER_ANIMATE,Ec.COLLAPSE,We,fe),Te),after:()=>this.emit(new nu(ci.AFTER_DRAW,{dataChanges:se,animation:y}),Te)},{collapse:{target:a,descendants:[...ke(xe.nodes),...ke(xe.combos)],position:re}}))===null||x===void 0?void 0:x.finished})}expandCombo(a,y){return Kv(this,void 0,void 0,function*(){var 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je;return!b&&(((je=We.style)===null||je===void 0?void 0:je.visibility)==="hidden"||se.getAncestorsData(We.id,Fc).some(xc)||se.getAncestorsData(We.id,rl).some(xc))?!1:y(We)}:We=>{const je=_r(We),Ke=fe(je);return!Ke||Xp(Ke)?!1:y(We)},xe=z.filter(me),Te=new Map(xe.map(We=>[_r(We),We]));re.forEach(We=>Te.set(_r(We),We));const ke=te.filter(({source:We,target:je})=>Te.has(We)&&Te.has(je));return{nodes:xe,edges:ke,combos:re}}initGraphLayout(a){var y;const{element:x,viewport:b}=this.context,{type:z,enableWorker:te,animation:re,iterations:ae}=a,se=aH(a,["type","enableWorker","animation","iterations"]),[fe,me]=b.getCanvasSize(),xe=[fe/2,me/2],Te=(y=a==null?void 0:a.nodeSize)!==null&&y!==void 0?y:Qe=>{const Je=x==null?void 0:x.getElement(Qe.id);return Je?Je.attributes.size:x==null?void 0:x.getElementComputedStyle("node",Qe).size},ke=Df("layout",z);if(!ke)return Ac.warn(`The layout of ${z} is not registered.`);const 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ae=te.apply(y,re);return z.forEach(se=>{se[x].apply(se,re)}),ae}}})}createLandmark(a){return this.camera.createLandmark(`landmark-${this.landmarkCounter++}`,a)}getAnimation(a){const y=GP(this.context.options,a);return y?xg(Object.assign({},y),["easing","duration"]):!1}getCanvasSize(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y,x]}getCanvasCenter(){const{canvas:a}=this.context,{width:y=0,height:x=0}=a.getConfig();return[y/2,x/2,0]}getViewportCenter(){const[a,y]=this.camera.getPosition();return[a,y,0]}getGraphCenter(){return this.context.graph.getViewportByCanvas(this.getCanvasCenter())}getZoom(){return this.camera.getZoom()}getRotation(){return this.camera.getRoll()}getTranslateOptions(a){const{camera:y}=this,{mode:x,translate:b=[]}=a,z=this.getZoom(),te=y.getPosition(),re=y.getFocalPoint(),[ae,se]=this.getCanvasCenter(),[fe=0,me=0,xe=0]=b,Te=Bd([-fe,-me,-xe],z);return 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this.transform({mode:"relative",scale:rt,translate:Ho(qs(this.getCanvasCenter(),this.getBBoxInViewport(Te).center),Bd(this.paddingOffset,rt))},ot)})}fitCenter(a){return Zv(this,void 0,void 0,function*(){const y=this.context.canvas.getBounds();yield this.focus(y,a)})}focusElements(a){return Zv(this,arguments,void 0,function*(y,x={}){const{element:b}=this.context;if(!b)return;const z=re=>x.shapes?re.getShape(x.shapes).getRenderBounds():re.getRenderBounds(),te=uv(y.map(re=>z(b.getElement(re))));yield this.focus(te,x)})}focus(a,y){return Zv(this,void 0,void 0,function*(){const x=this.context.graph.getViewportByCanvas(a.center),b=y.position||this.getCanvasCenter(),z=qs(b,x);yield this.transform({mode:"relative",translate:Ho(z,this.paddingOffset)},y.animation)})}getBBoxInViewport(a){const{min:y,max:x}=a,{graph:b}=this.context,[z,te]=b.getViewportByCanvas(y),[re,ae]=b.getViewportByCanvas(x),se=new il;return se.setMinMax([z,te,0],[re,ae,0]),se}isInViewport(a,y=!1,x=0){const{graph:b}=this.context,z=this.getCanvasSize(),[te,re]=b.getCanvasByViewport([0,0]),[ae,se]=b.getCanvasByViewport(z);let fe=new il;return fe.setMinMax([te,re,0],[ae,se,0]),x&&(fe=uh(fe,x)),u0(a)?Od(a,fe):y?ER(a,fe):fe.intersects(a)}cancelAnimation(){var a,y;!((a=this.camera.landmarks)===null||a===void 0)&&a.length&&this.camera.cancelLandmarkAnimation(),(y=this.transformResolver)===null||y===void 0||y.call(this)}}var sl=function(E,a,y,x){function b(z){return z instanceof y?z:new y(function(te){te(z)})}return new(y||(y=Promise))(function(z,te){function re(fe){try{se(x.next(fe))}catch(me){te(me)}}function ae(fe){try{se(x.throw(fe))}catch(me){te(me)}}function se(fe){fe.done?z(fe.value):b(fe.value).then(re,ae)}se((x=x.apply(E,a||[])).next())})};class T0 extends ry{constructor(a){var y;super(),this.options={},this.rendered=!1,this.destroyed=!1,this.context={model:new VV},this.isCollapsingExpanding=!1,this.onResize=Cv(()=>{this.resize()},300),this._setOptions(Object.assign({},T0.defaultOptions,a),!0),this.context.graph=this,this.options.autoResize&&((y=globalThis.addEventListener)===null||y===void 0||y.call(globalThis,"resize",this.onResize))}getOptions(){return this.options}setOptions(a){this._setOptions(a,!1)}_setOptions(a,y){if(this.updateCanvas(a),Object.assign(this.options,oH(a)),y){const{data:xe}=a;xe&&this.addData(xe);return}const{behaviors:x,combo:b,data:z,edge:te,layout:re,node:ae,plugins:se,theme:fe,transforms:me}=a;x&&this.setBehaviors(x),z&&this.setData(z),ae&&this.setNode(ae),te&&this.setEdge(te),b&&this.setCombo(b),re&&this.setLayout(re),fe&&this.setTheme(fe),se&&this.setPlugins(se),me&&this.setTransforms(me)}getSize(){return this.context.canvas?this.context.canvas.getSize():[this.options.width||0,this.options.height||0]}setSize(a,y){a&&(this.options.width=a),y&&(this.options.height=y),this.resize(a,y)}setZoomRange(a){this.options.zoomRange=a}getZoomRange(){return this.options.zoomRange}setNode(a){this.options.node=a,this.context.model.refreshData()}setEdge(a){this.options.edge=a,this.context.model.refreshData()}setCombo(a){this.options.combo=a,this.context.model.refreshData()}getTheme(){return this.options.theme}setTheme(a){this.options.theme=Gi(a)?a(this.getTheme()):a}setLayout(a){this.options.layout=Gi(a)?a(this.getLayout()):a}getLayout(){return this.options.layout}setBehaviors(a){var y;this.options.behaviors=Gi(a)?a(this.getBehaviors()):a,(y=this.context.behavior)===null||y===void 0||y.setBehaviors(this.options.behaviors)}updateBehavior(a){this.setBehaviors(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getBehaviors(){return this.options.behaviors||[]}setPlugins(a){var y;this.options.plugins=Gi(a)?a(this.getPlugins()):a,(y=this.context.plugin)===null||y===void 0||y.setPlugins(this.options.plugins)}updatePlugin(a){this.setPlugins(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x))}getPlugins(){return this.options.plugins||[]}getPluginInstance(a){return this.context.plugin.getPluginInstance(a)}setTransforms(a){var y;this.options.transforms=Gi(a)?a(this.getTransforms()):a,(y=this.context.transform)===null||y===void 0||y.setTransforms(this.options.transforms)}updateTransform(a){this.setTransforms(y=>y.map(x=>typeof x=="object"&&x.key===a.key?Object.assign(Object.assign({},x),a):x)),this.context.model.refreshData()}getTransforms(){return this.options.transforms||[]}getData(){return this.context.model.getData()}getElementData(a){return Array.isArray(a)?a.map(y=>this.context.model.getElementDataById(y)):this.context.model.getElementDataById(a)}getNodeData(a){return a===void 0?this.context.model.getNodeData():Array.isArray(a)?this.context.model.getNodeData(a):this.context.model.getNodeLikeDatum(a)}getEdgeData(a){return a===void 0?this.context.model.getEdgeData():Array.isArray(a)?this.context.model.getEdgeData(a):this.context.model.getEdgeDatum(a)}getComboData(a){return a===void 0?this.context.model.getComboData():Array.isArray(a)?this.context.model.getComboData(a):this.context.model.getNodeLikeDatum(a)}setData(a){this.context.model.setData(Gi(a)?a(this.getData()):a)}addData(a){this.context.model.addData(Gi(a)?a(this.getData()):a)}addNodeData(a){this.context.model.addNodeData(Gi(a)?a(this.getNodeData()):a)}addEdgeData(a){this.context.model.addEdgeData(Gi(a)?a(this.getEdgeData()):a)}addComboData(a){this.context.model.addComboData(Gi(a)?a(this.getComboData()):a)}addChildrenData(a,y){this.context.model.addChildrenData(a,y)}updateData(a){this.context.model.updateData(Gi(a)?a(this.getData()):a)}updateNodeData(a){this.context.model.updateNodeData(Gi(a)?a(this.getNodeData()):a)}updateEdgeData(a){this.context.model.updateEdgeData(Gi(a)?a(this.getEdgeData()):a)}updateComboData(a){this.context.model.updateComboData(Gi(a)?a(this.getComboData()):a)}removeData(a){this.context.model.removeData(Gi(a)?a(this.getData()):a)}removeNodeData(a){this.context.model.removeNodeData(Gi(a)?a(this.getNodeData()):a)}removeEdgeData(a){this.context.model.removeEdgeData(Gi(a)?a(this.getEdgeData()):a)}removeComboData(a){this.context.model.removeComboData(Gi(a)?a(this.getComboData()):a)}getElementType(a){return this.context.model.getElementType(a)}getRelatedEdgesData(a,y="both"){return this.context.model.getRelatedEdgesData(a,y)}getNeighborNodesData(a){return this.context.model.getNeighborNodesData(a)}getAncestorsData(a,y){return this.context.model.getAncestorsData(a,y)}getParentData(a,y){return this.context.model.getParentData(a,y)}getChildrenData(a){return this.context.model.getChildrenData(a)}getDescendantsData(a){return this.context.model.getDescendantsData(a)}getElementDataByState(a,y){return this.context.model.getElementDataByState(a,y)}initCanvas(){return sl(this,void 0,void 0,function*(){var a;if(this.context.canvas)return yield this.context.canvas.ready;const{container:y="container",width:x,height:b,renderer:z,cursor:te,background:re,canvas:ae,devicePixelRatio:se=(a=globalThis.devicePixelRatio)!==null&&a!==void 0?a:1}=this.options;if(y instanceof $D)this.context.canvas=y,te&&y.setCursor(te),z&&y.setRenderer(z),yield y.ready;else{const fe=Ls(y)?document.getElementById(y):y,me=n3(fe);this.emit(ci.BEFORE_CANVAS_INIT,{container:fe,width:x,height:b});const xe=Object.assign(Object.assign({},ae),{container:fe,width:x||me[0],height:b||me[1],background:re,renderer:z,cursor:te,devicePixelRatio:se}),Te=new $D(xe);this.context.canvas=Te,yield Te.ready,this.emit(ci.AFTER_CANVAS_INIT,{canvas:Te})}})}updateCanvas(a){var y,x;const{renderer:b,cursor:z,height:te,width:re}=a,ae=this.context.canvas;ae&&(b&&(this.emit(ci.BEFORE_RENDERER_CHANGE,{renderer:this.options.renderer}),ae.setRenderer(b),this.emit(ci.AFTER_RENDERER_CHANGE,{renderer:b})),z&&ae.setCursor(z),(Oi(re)||Oi(te))&&this.setSize((y=re!=null?re:this.options.width)!==null&&y!==void 0?y:0,(x=te!=null?te:this.options.height)!==null&&x!==void 0?x:0))}initRuntime(){this.context.options=this.options,this.context.batch||(this.context.batch=new zV(this.context)),this.context.plugin||(this.context.plugin=new lH(this.context)),this.context.viewport||(this.context.viewport=new cH(this.context)),this.context.transform||(this.context.transform=new uH(this.context)),this.context.element||(this.context.element=new HV(this.context)),this.context.animation||(this.context.animation=new kV(this.context)),this.context.layout||(this.context.layout=new iH(this.context)),this.context.behavior||(this.context.behavior=new UV(this.context))}prepare(){return sl(this,void 0,void 0,function*(){if(yield Promise.resolve(),this.destroyed)throw new Error(If("The graph instance has been destroyed"));yield this.initCanvas(),this.initRuntime()})}render(){return sl(this,void 0,void 0,function*(){if(yield this.prepare(),du(this,new nu(ci.BEFORE_RENDER)),this.options.layout)if(!this.rendered&&$8(this.options.layout)){const a=yield this.context.element.preLayoutDraw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.context.layout.postLayout()]),yield this.autoFit()}else{const a=this.context.element.draw({type:"render"});yield Promise.all([a==null?void 0:a.finished,this.autoFit()])}this.rendered=!0,du(this,new nu(ci.AFTER_RENDER))})}draw(){return sl(this,void 0,void 0,function*(){var a;yield this.prepare(),yield(a=this.context.element.draw())===null||a===void 0?void 0:a.finished})}layout(a){return sl(this,void 0,void 0,function*(){yield this.context.layout.postLayout(a)})}stopLayout(){this.context.layout.stopLayout()}clear(){return sl(this,void 0,void 0,function*(){const{model:a,element:y}=this.context;a.setData({}),a.clearChanges(),y==null||y.clear()})}destroy(){var a;du(this,new nu(ci.BEFORE_DESTROY));const{layout:y,animation:x,element:b,model:z,canvas:te,behavior:re,plugin:ae}=this.context;ae==null||ae.destroy(),re==null||re.destroy(),y==null||y.destroy(),x==null||x.destroy(),b==null||b.destroy(),z.destroy(),te==null||te.destroy(),this.options={},this.context={},this.off(),(a=globalThis.removeEventListener)===null||a===void 0||a.call(globalThis,"resize",this.onResize),this.destroyed=!0,du(this,new nu(ci.AFTER_DESTROY))}getCanvas(){return this.context.canvas}resize(a,y){var x;const b=n3((x=this.context.canvas)===null||x===void 0?void 0:x.getContainer()),z=[a||b[0],y||b[1]];if(!this.context.canvas)return;const te=this.context.canvas.getSize();Vl(z,te)||(du(this,new nu(ci.BEFORE_SIZE_CHANGE,{size:z})),this.context.canvas.resize(...z),du(this,new nu(ci.AFTER_SIZE_CHANGE,{size:z})))}fitView(a,y){return sl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.fitView(a,y)})}fitCenter(a){return sl(this,void 0,void 0,function*(){var y;yield(y=this.context.viewport)===null||y===void 0?void 0:y.fitCenter({animation:a})})}autoFit(){return sl(this,void 0,void 0,function*(){const{autoFit:a}=this.context.options;if(a)if(Ls(a))a==="view"?yield this.fitView():a==="center"&&(yield this.fitCenter());else{const{type:y,animation:x}=a;y==="view"?yield this.fitView(a.options,x):y==="center"&&(yield this.fitCenter(x))}})}focusElement(a,y){return sl(this,void 0,void 0,function*(){var x;yield(x=this.context.viewport)===null||x===void 0?void 0:x.focusElements(Array.isArray(a)?a:[a],{animation:y})})}zoomBy(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",scale:a,origin:x},y)})}zoomTo(a,y,x){return sl(this,void 0,void 0,function*(){this.context.viewport.transform({mode:"absolute",scale:a,origin:x},y)})}getZoom(){return this.context.viewport.getZoom()}rotateBy(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",rotate:a,origin:x},y)})}rotateTo(a,y,x){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",rotate:a,origin:x},y)})}getRotation(){return this.context.viewport.getRotation()}translateBy(a,y){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",translate:a},y)})}translateTo(a,y){return sl(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",translate:a},y)})}getPosition(){return qs([0,0],this.getCanvasByViewport([0,0]))}translateElementBy(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var te,re;const[ae,se]=jl(x)?[x,(te=b)!==null&&te!==void 0?te:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeBy(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}translateElementTo(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var te,re;const[ae,se]=jl(x)?[x,(te=b)!==null&&te!==void 0?te:!0]:[{[x]:b},z];Object.entries(ae).forEach(([fe,me])=>this.context.model.translateNodeLikeTo(fe,me)),yield(re=this.context.element.draw({animation:se,stage:"translate"}))===null||re===void 0?void 0:re.finished})}getElementPosition(a){return this.context.model.getElementPosition(a)}getElementRenderStyle(a){return Ax(this.context.element.getElement(a).attributes,["context"])}setElementVisibility(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var te,re;const[ae,se]=jl(x)?[x,(te=b)!==null&&te!==void 0?te:!0]:[{[x]:b},z],fe={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([Te,ke])=>{const We=this.getElementType(Te);fe[`${We}s`].push({id:Te,style:{visibility:ke}})});const{model:me,element:xe}=this.context;me.preventUpdateNodeLikeHierarchy(()=>{me.updateData(fe)}),yield(re=xe.draw({animation:se,stage:"visibility"}))===null||re===void 0?void 0:re.finished})}showElement(a,y){return sl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"visible"])),y)})}hideElement(a,y){return sl(this,void 0,void 0,function*(){const x=Array.isArray(a)?a:[a];yield this.setElementVisibility(Object.fromEntries(x.map(b=>[b,"hidden"])),y)})}getElementVisibility(a){var y,x;const b=this.context.element.getElement(a);return(x=(y=b==null?void 0:b.style)===null||y===void 0?void 0:y.visibility)!==null&&x!==void 0?x:"visible"}setElementZIndex(a,y){return sl(this,void 0,void 0,function*(){var x;const b={nodes:[],edges:[],combos:[]},z=jl(a)?a:{[a]:y};Object.entries(z).forEach(([ae,se])=>{const fe=this.getElementType(ae);b[`${fe}s`].push({id:ae,style:{zIndex:se}})});const{model:te,element:re}=this.context;te.preventUpdateNodeLikeHierarchy(()=>te.updateData(b)),yield(x=re.draw({animation:!1,stage:"zIndex"}))===null||x===void 0?void 0:x.finished})}frontElement(a){return sl(this,void 0,void 0,function*(){const y=Array.isArray(a)?a:[a],{model:x}=this.context,b={};y.map(z=>{const te=x.getFrontZIndex(z);if(x.getElementType(z)==="combo"){const ae=x.getAncestorsData(z,rl).at(-1)||this.getComboData(z),se=[ae,...x.getDescendantsData(_r(ae))],fe=te-r3(ae);se.forEach(xe=>{b[_r(xe)]=this.getElementZIndex(_r(xe))+fe});const{internal:me}=jA(se.map(_r),xe=>x.getRelatedEdgesData(xe));me.forEach(xe=>{const Te=_r(xe);b[Te]=this.getElementZIndex(Te)+fe})}else b[z]=te}),yield this.setElementZIndex(b)})}getElementZIndex(a){return r3(this.context.model.getElementDataById(a))}setElementState(a,y){return sl(this,arguments,void 0,function*(x,b,z=!0){var te,re;const[ae,se]=jl(x)?[x,(te=b)!==null&&te!==void 0?te:!0]:[{[x]:b},z],fe=xe=>xe?Array.isArray(xe)?xe:[xe]:[],me={nodes:[],edges:[],combos:[]};Object.entries(ae).forEach(([xe,Te])=>{const ke=this.getElementType(xe);me[`${ke}s`].push({id:xe,states:fe(Te)})}),this.updateData(me),yield(re=this.context.element.draw({animation:se,stage:"state"}))===null||re===void 0?void 0:re.finished})}getElementState(a){return this.context.model.getElementState(a)}getElementRenderBounds(a){return this.context.element.getElement(a).getRenderBounds()}collapseElement(a){return sl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const te=b.getElementType(y);yield this.frontElement(y),this.isCollapsingExpanding=!0,this.setElementCollapsibility(y,!0),te==="node"?yield z.collapseNode(y,x):te==="combo"&&(yield z.collapseCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}expandElement(a){return sl(this,arguments,void 0,function*(y,x=!0){const{model:b,element:z}=this.context;if(!xc(b.getNodeLikeData([y])[0])||this.isCollapsingExpanding)return;typeof x=="boolean"&&(x={animation:x,align:!0});const te=b.getElementType(y);this.isCollapsingExpanding=!0,this.setElementCollapsibility(y,!1),te==="node"?yield z.expandNode(y,x):te==="combo"&&(yield z.expandCombo(y,!!x.animation)),this.isCollapsingExpanding=!1})}setElementCollapsibility(a,y){const x=this.getElementType(a);x==="node"?this.updateNodeData([{id:a,style:{collapsed:y}}]):x==="combo"&&this.updateComboData([{id:a,style:{collapsed:y}}])}toDataURL(){return sl(this,arguments,void 0,function*(a={}){return this.context.canvas.toDataURL(a)})}getCanvasByViewport(a){return this.context.canvas.getCanvasByViewport(a)}getViewportByCanvas(a){return this.context.canvas.getViewportByCanvas(a)}getClientByCanvas(a){return this.context.canvas.getClientByCanvas(a)}getCanvasByClient(a){return this.context.canvas.getCanvasByClient(a)}getViewportCenter(){return this.context.viewport.getViewportCenter()}getCanvasCenter(){return this.context.viewport.getCanvasCenter()}on(a,y,x){return super.on(a,y,x)}once(a,y){return super.once(a,y)}off(a,y){return super.off(a,y)}}T0.defaultOptions={autoResize:!1,theme:"light",rotation:0,zoom:1,zoomRange:[.01,10]};var dH=function(E,a){var y={};for(var x in E)Object.prototype.hasOwnProperty.call(E,x)&&a.indexOf(x)<0&&(y[x]=E[x]);if(E!=null&&typeof Object.getOwnPropertySymbols=="function")for(var b=0,x=Object.getOwnPropertySymbols(E);b<x.length;b++)a.indexOf(x[b])<0&&Object.prototype.propertyIsEnumerable.call(E,x[b])&&(y[x[b]]=E[x[b]]);return y};function mS(E,a){const{getNodeData:y=(re,ae)=>{if(re.depth=ae,!re.children)return re;const{children:se}=re,fe=dH(re,["children"]);return Object.assign(Object.assign({},fe),{children:se.map(me=>me.id)})},getEdgeData:x=(re,ae)=>({source:re.id,target:ae.id}),getChildren:b=re=>re.children||[]}=a||{},z=[],te=[];return yg(E,(re,ae)=>{z.push(y(re,ae));const se=b(re);for(const fe of se)te.push(x(re,fe))},re=>b(re),"TB"),{nodes:z,edges:te}}class fH extends Ph{beforeDraw(a){const{add:y,update:x}=a,{model:b}=this.context;return[...y.edges.entries(),...x.edges.entries()].forEach(([,z])=>{m3(b,z)}),a}}const 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",XH="data:image/png;base64,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",SK="data:image/png;base64,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Ie=0,ze=null;if((Le.code===19||Le.message==="network error")&&(this._contentLength===null||this._contentLength!==null&&this._receivedLength<this._contentLength)?(Ie=de.EARLY_EOF,ze={code:Le.code,msg:"Fetch stream meet Early-EOF"}):(Ie=de.EXCEPTION,ze={code:Le.code,msg:Le.message}),this._onError)this._onError(Ie,ze);else throw new we(ze.msg)})}}var he=ce;class ie extends ee{static isSupported(){try{let Ae=new XMLHttpRequest;return Ae.open("GET","https://example.com",!0),Ae.responseType="moz-chunked-arraybuffer",Ae.responseType==="moz-chunked-arraybuffer"}catch(Ae){return Ce.w("MozChunkedLoader",Ae.message),!1}}constructor(Ae,Le){super("xhr-moz-chunked-loader"),this.TAG="MozChunkedLoader",this._seekHandler=Ae,this._config=Le,this._needStash=!0,this._xhr=null,this._requestAbort=!1,this._contentLength=null,this._receivedLength=0}destroy(){this.isWorking()&&this.abort(),this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onloadend=null,this._xhr.onerror=null,this._xhr=null),super.destroy()}open(Ae,Le){this._dataSource=Ae,this._range=Le;let Ie=Ae.url;this._config.reuseRedirectedURL&&Ae.redirectedURL!=null&&(Ie=Ae.redirectedURL);let ze=this._seekHandler.getConfig(Ie,Le);this._requestURL=ze.url;let Ze=this._xhr=new XMLHttpRequest;if(Ze.open("GET",ze.url,!0),Ze.responseType="moz-chunked-arraybuffer",Ze.onreadystatechange=this._onReadyStateChange.bind(this),Ze.onprogress=this._onProgress.bind(this),Ze.onloadend=this._onLoadEnd.bind(this),Ze.onerror=this._onXhrError.bind(this),Ae.withCredentials&&(Ze.withCredentials=!0),typeof ze.headers=="object"){let xt=ze.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Ze.setRequestHeader(bt,xt[bt])}if(typeof this._config.headers=="object"){let xt=this._config.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Ze.setRequestHeader(bt,xt[bt])}this._status=Pe.kConnecting,Ze.send()}abort(){this._requestAbort=!0,this._xhr&&this._xhr.abort(),this._status=Pe.kComplete}_onReadyStateChange(Ae){let Le=Ae.target;if(Le.readyState===2){if(Le.responseURL!=null&&Le.responseURL!==this._requestURL&&this._onURLRedirect){let Ie=this._seekHandler.removeURLParameters(Le.responseURL);this._onURLRedirect(Ie)}if(Le.status!==0&&(Le.status<200||Le.status>299))if(this._status=Pe.kError,this._onError)this._onError(de.HTTP_STATUS_CODE_INVALID,{code:Le.status,msg:Le.statusText});else throw new we("MozChunkedLoader: Http code invalid, "+Le.status+" "+Le.statusText);else this._status=Pe.kBuffering}}_onProgress(Ae){if(this._status===Pe.kError)return;this._contentLength===null&&Ae.total!==null&&Ae.total!==0&&(this._contentLength=Ae.total,this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength));let Le=Ae.target.response,Ie=this._range.from+this._receivedLength;this._receivedLength+=Le.byteLength,this._onDataArrival&&this._onDataArrival(Le,Ie,this._receivedLength)}_onLoadEnd(Ae){if(this._requestAbort===!0){this._requestAbort=!1;return}else if(this._status===Pe.kError)return;this._status=Pe.kComplete,this._onComplete&&this._onComplete(this._range.from,this._range.from+this._receivedLength-1)}_onXhrError(Ae){this._status=Pe.kError;let Le=0,Ie=null;if(this._contentLength&&Ae.loaded<this._contentLength?(Le=de.EARLY_EOF,Ie={code:-1,msg:"Moz-Chunked stream meet Early-Eof"}):(Le=de.EXCEPTION,Ie={code:-1,msg:Ae.constructor.name+" "+Ae.type}),this._onError)this._onError(Le,Ie);else throw new we(Ie.msg)}}var ue=ie;class ve extends null{static isSupported(){try{if(typeof self.MSStream=="undefined"||typeof self.MSStreamReader=="undefined")return!1;let Ae=new XMLHttpRequest;return Ae.open("GET","https://example.com",!0),Ae.responseType="ms-stream",Ae.responseType==="ms-stream"}catch(Ae){return Log.w("MSStreamLoader",Ae.message),!1}}constructor(Ae,Le){super("xhr-msstream-loader"),this.TAG="MSStreamLoader",this._seekHandler=Ae,this._config=Le,this._needStash=!0,this._xhr=null,this._reader=null,this._totalRange=null,this._currentRange=null,this._currentRequestURL=null,this._currentRedirectedURL=null,this._contentLength=null,this._receivedLength=0,this._bufferLimit=16*1024*1024,this._lastTimeBufferSize=0,this._isReconnecting=!1}destroy(){this.isWorking()&&this.abort(),this._reader&&(this._reader.onprogress=null,this._reader.onload=null,this._reader.onerror=null,this._reader=null),this._xhr&&(this._xhr.onreadystatechange=null,this._xhr=null),super.destroy()}open(Ae,Le){this._internalOpen(Ae,Le,!1)}_internalOpen(Ae,Le,Ie){this._dataSource=Ae,Ie?this._currentRange=Le:this._totalRange=Le;let ze=Ae.url;this._config.reuseRedirectedURL&&(this._currentRedirectedURL!=null?ze=this._currentRedirectedURL:Ae.redirectedURL!=null&&(ze=Ae.redirectedURL));let Ze=this._seekHandler.getConfig(ze,Le);this._currentRequestURL=Ze.url;let xt=this._reader=new self.MSStreamReader;xt.onprogress=this._msrOnProgress.bind(this),xt.onload=this._msrOnLoad.bind(this),xt.onerror=this._msrOnError.bind(this);let bt=this._xhr=new XMLHttpRequest;if(bt.open("GET",Ze.url,!0),bt.responseType="ms-stream",bt.onreadystatechange=this._xhrOnReadyStateChange.bind(this),bt.onerror=this._xhrOnError.bind(this),Ae.withCredentials&&(bt.withCredentials=!0),typeof Ze.headers=="object"){let Yt=Ze.headers;for(let Ht in Yt)Yt.hasOwnProperty(Ht)&&bt.setRequestHeader(Ht,Yt[Ht])}if(typeof this._config.headers=="object"){let Yt=this._config.headers;for(let Ht in Yt)Yt.hasOwnProperty(Ht)&&bt.setRequestHeader(Ht,Yt[Ht])}this._isReconnecting?this._isReconnecting=!1:this._status=LoaderStatus.kConnecting,bt.send()}abort(){this._internalAbort(),this._status=LoaderStatus.kComplete}_internalAbort(){this._reader&&(this._reader.readyState===1&&this._reader.abort(),this._reader.onprogress=null,this._reader.onload=null,this._reader.onerror=null,this._reader=null),this._xhr&&(this._xhr.abort(),this._xhr.onreadystatechange=null,this._xhr=null)}_xhrOnReadyStateChange(Ae){let Le=Ae.target;if(Le.readyState===2)if(Le.status>=200&&Le.status<=299){if(this._status=LoaderStatus.kBuffering,Le.responseURL!=null){let ze=this._seekHandler.removeURLParameters(Le.responseURL);Le.responseURL!==this._currentRequestURL&&ze!==this._currentRedirectedURL&&(this._currentRedirectedURL=ze,this._onURLRedirect&&this._onURLRedirect(ze))}let Ie=Le.getResponseHeader("Content-Length");if(Ie!=null&&this._contentLength==null){let ze=parseInt(Ie);ze>0&&(this._contentLength=ze,this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength))}}else if(this._status=LoaderStatus.kError,this._onError)this._onError(LoaderErrors.HTTP_STATUS_CODE_INVALID,{code:Le.status,msg:Le.statusText});else throw new RuntimeException("MSStreamLoader: Http code invalid, "+Le.status+" "+Le.statusText);else if(Le.readyState===3&&Le.status>=200&&Le.status<=299){this._status=LoaderStatus.kBuffering;let Ie=Le.response;this._reader.readAsArrayBuffer(Ie)}}_xhrOnError(Ae){this._status=LoaderStatus.kError;let Le=LoaderErrors.EXCEPTION,Ie={code:-1,msg:Ae.constructor.name+" "+Ae.type};if(this._onError)this._onError(Le,Ie);else throw new RuntimeException(Ie.msg)}_msrOnProgress(Ae){let Ie=Ae.target.result;if(Ie==null){this._doReconnectIfNeeded();return}let ze=Ie.slice(this._lastTimeBufferSize);this._lastTimeBufferSize=Ie.byteLength;let Ze=this._totalRange.from+this._receivedLength;this._receivedLength+=ze.byteLength,this._onDataArrival&&this._onDataArrival(ze,Ze,this._receivedLength),Ie.byteLength>=this._bufferLimit&&(Log.v(this.TAG,`MSStream buffer exceeded max size near ${Ze+ze.byteLength}, reconnecting...`),this._doReconnectIfNeeded())}_doReconnectIfNeeded(){if(this._contentLength==null||this._receivedLength<this._contentLength){this._isReconnecting=!0,this._lastTimeBufferSize=0,this._internalAbort();let Ae={from:this._totalRange.from+this._receivedLength,to:-1};this._internalOpen(this._dataSource,Ae,!0)}}_msrOnLoad(Ae){this._status=LoaderStatus.kComplete,this._onComplete&&this._onComplete(this._totalRange.from,this._totalRange.from+this._receivedLength-1)}_msrOnError(Ae){this._status=LoaderStatus.kError;let Le=0,Ie=null;if(this._contentLength&&this._receivedLength<this._contentLength?(Le=LoaderErrors.EARLY_EOF,Ie={code:-1,msg:"MSStream meet Early-Eof"}):(Le=LoaderErrors.EARLY_EOF,Ie={code:-1,msg:Ae.constructor.name+" "+Ae.type}),this._onError)this._onError(Le,Ie);else throw new RuntimeException(Ie.msg)}}var be=null;class De extends ee{static isSupported(){try{let Ae=new XMLHttpRequest;return Ae.open("GET","https://example.com",!0),Ae.responseType="arraybuffer",Ae.responseType==="arraybuffer"}catch(Ae){return Ce.w("RangeLoader",Ae.message),!1}}constructor(Ae,Le){super("xhr-range-loader"),this.TAG="RangeLoader",this._seekHandler=Ae,this._config=Le,this._needStash=!1,this._chunkSizeKBList=[128,256,384,512,768,1024,1536,2048,3072,4096,5120,6144,7168,8192],this._currentChunkSizeKB=384,this._currentSpeedNormalized=0,this._zeroSpeedChunkCount=0,this._xhr=null,this._speedSampler=new ye,this._requestAbort=!1,this._waitForTotalLength=!1,this._totalLengthReceived=!1,this._currentRequestURL=null,this._currentRedirectedURL=null,this._currentRequestRange=null,this._totalLength=null,this._contentLength=null,this._receivedLength=0,this._lastTimeLoaded=0}destroy(){this.isWorking()&&this.abort(),this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onload=null,this._xhr.onerror=null,this._xhr=null),super.destroy()}get currentSpeed(){return this._speedSampler.lastSecondKBps}open(Ae,Le){this._dataSource=Ae,this._range=Le,this._status=Pe.kConnecting;let Ie=!1;this._dataSource.filesize!=null&&this._dataSource.filesize!==0&&(Ie=!0,this._totalLength=this._dataSource.filesize),!this._totalLengthReceived&&!Ie?(this._waitForTotalLength=!0,this._internalOpen(this._dataSource,{from:0,to:-1})):this._openSubRange()}_openSubRange(){let Ae=this._currentChunkSizeKB*1024,Le=this._range.from+this._receivedLength,Ie=Le+Ae;this._contentLength!=null&&Ie-this._range.from>=this._contentLength&&(Ie=this._range.from+this._contentLength-1),this._currentRequestRange={from:Le,to:Ie},this._internalOpen(this._dataSource,this._currentRequestRange)}_internalOpen(Ae,Le){this._lastTimeLoaded=0;let Ie=Ae.url;this._config.reuseRedirectedURL&&(this._currentRedirectedURL!=null?Ie=this._currentRedirectedURL:Ae.redirectedURL!=null&&(Ie=Ae.redirectedURL));let ze=this._seekHandler.getConfig(Ie,Le);this._currentRequestURL=ze.url;let Ze=this._xhr=new XMLHttpRequest;if(Ze.open("GET",ze.url,!0),Ze.responseType="arraybuffer",Ze.onreadystatechange=this._onReadyStateChange.bind(this),Ze.onprogress=this._onProgress.bind(this),Ze.onload=this._onLoad.bind(this),Ze.onerror=this._onXhrError.bind(this),Ae.withCredentials&&(Ze.withCredentials=!0),typeof ze.headers=="object"){let xt=ze.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Ze.setRequestHeader(bt,xt[bt])}if(typeof this._config.headers=="object"){let xt=this._config.headers;for(let bt in xt)xt.hasOwnProperty(bt)&&Ze.setRequestHeader(bt,xt[bt])}Ze.send()}abort(){this._requestAbort=!0,this._internalAbort(),this._status=Pe.kComplete}_internalAbort(){this._xhr&&(this._xhr.onreadystatechange=null,this._xhr.onprogress=null,this._xhr.onload=null,this._xhr.onerror=null,this._xhr.abort(),this._xhr=null)}_onReadyStateChange(Ae){let Le=Ae.target;if(Le.readyState===2){if(Le.responseURL!=null){let Ie=this._seekHandler.removeURLParameters(Le.responseURL);Le.responseURL!==this._currentRequestURL&&Ie!==this._currentRedirectedURL&&(this._currentRedirectedURL=Ie,this._onURLRedirect&&this._onURLRedirect(Ie))}if(Le.status>=200&&Le.status<=299){if(this._waitForTotalLength)return;this._status=Pe.kBuffering}else if(this._status=Pe.kError,this._onError)this._onError(de.HTTP_STATUS_CODE_INVALID,{code:Le.status,msg:Le.statusText});else throw new we("RangeLoader: Http code invalid, "+Le.status+" "+Le.statusText)}}_onProgress(Ae){if(this._status===Pe.kError)return;if(this._contentLength===null){let Ie=!1;if(this._waitForTotalLength){this._waitForTotalLength=!1,this._totalLengthReceived=!0,Ie=!0;let ze=Ae.total;this._internalAbort(),ze!=null&ze!==0&&(this._totalLength=ze)}if(this._range.to===-1?this._contentLength=this._totalLength-this._range.from:this._contentLength=this._range.to-this._range.from+1,Ie){this._openSubRange();return}this._onContentLengthKnown&&this._onContentLengthKnown(this._contentLength)}let Le=Ae.loaded-this._lastTimeLoaded;this._lastTimeLoaded=Ae.loaded,this._speedSampler.addBytes(Le)}_normalizeSpeed(Ae){let Le=this._chunkSizeKBList,Ie=Le.length-1,ze=0,Ze=0,xt=Ie;if(Ae<Le[0])return Le[0];for(;Ze<=xt;){if(ze=Ze+Math.floor((xt-Ze)/2),ze===Ie||Ae>=Le[ze]&&Ae<Le[ze+1])return Le[ze];Le[ze]<Ae?Ze=ze+1:xt=ze-1}}_onLoad(Ae){if(this._status===Pe.kError)return;if(this._waitForTotalLength){this._waitForTotalLength=!1;return}this._lastTimeLoaded=0;let Le=this._speedSampler.lastSecondKBps;if(Le===0&&(this._zeroSpeedChunkCount++,this._zeroSpeedChunkCount>=3&&(Le=this._speedSampler.currentKBps)),Le!==0){let xt=this._normalizeSpeed(Le);this._currentSpeedNormalized!==xt&&(this._currentSpeedNormalized=xt,this._currentChunkSizeKB=xt)}let Ie=Ae.target.response,ze=this._range.from+this._receivedLength;this._receivedLength+=Ie.byteLength;let Ze=!1;this._contentLength!=null&&this._receivedLength<this._contentLength?this._openSubRange():Ze=!0,this._onDataArrival&&this._onDataArrival(Ie,ze,this._receivedLength),Ze&&(this._status=Pe.kComplete,this._onComplete&&this._onComplete(this._range.from,this._range.from+this._receivedLength-1))}_onXhrError(Ae){this._status=Pe.kError;let Le=0,Ie=null;if(this._contentLength&&this._receivedLength>0&&this._receivedLength<this._contentLength?(Le=de.EARLY_EOF,Ie={code:-1,msg:"RangeLoader meet Early-Eof"}):(Le=de.EXCEPTION,Ie={code:-1,msg:Ae.constructor.name+" "+Ae.type}),this._onError)this._onError(Le,Ie);else throw new we(Ie.msg)}}var Re=De;class Be extends ee{static isSupported(){try{return typeof self.WebSocket!="undefined"}catch(Ae){return!1}}constructor(){super("websocket-loader"),this.TAG="WebSocketLoader",this._needStash=!0,this._ws=null,this._requestAbort=!1,this._receivedLength=0}destroy(){this._ws&&this.abort(),super.destroy()}open(Ae){try{let Le=this._ws=new self.WebSocket(Ae.url);Le.binaryType="arraybuffer",Le.onopen=this._onWebSocketOpen.bind(this),Le.onclose=this._onWebSocketClose.bind(this),Le.onmessage=this._onWebSocketMessage.bind(this),Le.onerror=this._onWebSocketError.bind(this),this._status=Pe.kConnecting}catch(Le){this._status=Pe.kError;let Ie={code:Le.code,msg:Le.message};if(this._onError)this._onError(de.EXCEPTION,Ie);else throw new we(Ie.msg)}}abort(){let Ae=this._ws;Ae&&(Ae.readyState===0||Ae.readyState===1)&&(this._requestAbort=!0,Ae.close()),this._ws=null,this._status=Pe.kComplete}_onWebSocketOpen(Ae){this._status=Pe.kBuffering}_onWebSocketClose(Ae){if(this._requestAbort===!0){this._requestAbort=!1;return}this._status=Pe.kComplete,this._onComplete&&this._onComplete(0,this._receivedLength-1)}_onWebSocketMessage(Ae){if(Ae.data instanceof ArrayBuffer)this._dispatchArrayBuffer(Ae.data);else if(Ae.data instanceof Blob){let Le=new FileReader;Le.onload=()=>{this._dispatchArrayBuffer(Le.result)},Le.readAsArrayBuffer(Ae.data)}else{this._status=Pe.kError;let Le={code:-1,msg:"Unsupported WebSocket message type: "+Ae.data.constructor.name};if(this._onError)this._onError(de.EXCEPTION,Le);else throw new we(Le.msg)}}_dispatchArrayBuffer(Ae){let Le=Ae,Ie=this._receivedLength;this._receivedLength+=Le.byteLength,this._onDataArrival&&this._onDataArrival(Le,Ie,this._receivedLength)}_onWebSocketError(Ae){this._status=Pe.kError;let Le={code:Ae.code,msg:Ae.message};if(this._onError)this._onError(de.EXCEPTION,Le);else throw new we(Le.msg)}}var Ue=Be;class Ge{constructor(Ae){this._zeroStart=Ae||!1}getConfig(Ae,Le){let Ie={};if(Le.from!==0||Le.to!==-1){let ze;Le.to!==-1?ze=`bytes=${Le.from.toString()}-${Le.to.toString()}`:ze=`bytes=${Le.from.toString()}-`,Ie.Range=ze}else this._zeroStart&&(Ie.Range="bytes=0-");return{url:Ae,headers:Ie}}removeURLParameters(Ae){return Ae}}var Xe=Ge;class Ye{constructor(Ae,Le){this._startName=Ae,this._endName=Le}getConfig(Ae,Le){let Ie=Ae;if(Le.from!==0||Le.to!==-1){let ze=!0;Ie.indexOf("?")===-1&&(Ie+="?",ze=!1),ze&&(Ie+="&"),Ie+=`${this._startName}=${Le.from.toString()}`,Le.to!==-1&&(Ie+=`&${this._endName}=${Le.to.toString()}`)}return{url:Ie,headers:{}}}removeURLParameters(Ae){let Le=Ae.split("?")[0],Ie,ze=Ae.indexOf("?");ze!==-1&&(Ie=Ae.substring(ze+1));let Ze="";if(Ie!=null&&Ie.length>0){let xt=Ie.split("&");for(let bt=0;bt<xt.length;bt++){let Yt=xt[bt].split("="),Ht=bt>0;Yt[0]!==this._startName&&Yt[0]!==this._endName&&(Ht&&(Ze+="&"),Ze+=xt[bt])}}return Ze.length===0?Le:Le+"?"+Ze}}var nt=Ye;class $e{constructor(Ae,Le,Ie){this.TAG="IOController",this._config=Le,this._extraData=Ie,this._stashInitialSize=1024*384,Le.stashInitialSize!=null&&Le.stashInitialSize>0&&(this._stashInitialSize=Le.stashInitialSize),this._stashUsed=0,this._stashSize=this._stashInitialSize,this._bufferSize=1024*1024*3,this._stashBuffer=new ArrayBuffer(this._bufferSize),this._stashByteStart=0,this._enableStash=!0,Le.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=Ae,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(Ae.url),this._refTotalLength=Ae.filesize?Ae.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new ye,this._speedNormalizeList=[64,128,256,384,512,768,1024,1536,2048,3072,4096],this._isEarlyEofReconnecting=!1,this._paused=!1,this._resumeFrom=0,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._selectSeekHandler(),this._selectLoader(),this._createLoader()}destroy(){this._loader.isWorking()&&this._loader.abort(),this._loader.destroy(),this._loader=null,this._loaderClass=null,this._dataSource=null,this._stashBuffer=null,this._stashUsed=this._stashSize=this._bufferSize=this._stashByteStart=0,this._currentRange=null,this._speedSampler=null,this._isEarlyEofReconnecting=!1,this._onDataArrival=null,this._onSeeked=null,this._onError=null,this._onComplete=null,this._onRedirect=null,this._onRecoveredEarlyEof=null,this._extraData=null}isWorking(){return this._loader&&this._loader.isWorking()&&!this._paused}isPaused(){return this._paused}get status(){return this._loader.status}get extraData(){return this._extraData}set extraData(Ae){this._extraData=Ae}get onDataArrival(){return this._onDataArrival}set onDataArrival(Ae){this._onDataArrival=Ae}get onSeeked(){return this._onSeeked}set onSeeked(Ae){this._onSeeked=Ae}get onError(){return this._onError}set onError(Ae){this._onError=Ae}get onComplete(){return this._onComplete}set onComplete(Ae){this._onComplete=Ae}get onRedirect(){return this._onRedirect}set onRedirect(Ae){this._onRedirect=Ae}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(Ae){this._onRecoveredEarlyEof=Ae}get currentURL(){return this._dataSource.url}get hasRedirect(){return this._redirectedURL!=null||this._dataSource.redirectedURL!=null}get currentRedirectedURL(){return this._redirectedURL||this._dataSource.redirectedURL}get currentSpeed(){return this._loaderClass===Re?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let Ae=this._config;if(Ae.seekType==="range")this._seekHandler=new Xe(this._config.rangeLoadZeroStart);else if(Ae.seekType==="param"){let Le=Ae.seekParamStart||"bstart",Ie=Ae.seekParamEnd||"bend";this._seekHandler=new nt(Le,Ie)}else if(Ae.seekType==="custom"){if(typeof Ae.customSeekHandler!="function")throw new pe("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new Ae.customSeekHandler}else throw new pe(`Invalid seekType in config: ${Ae.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=Ue;else if(he.isSupported())this._loaderClass=he;else if(ue.isSupported())this._loaderClass=ue;else if(Re.isSupported())this._loaderClass=Re;else throw new we("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new this._loaderClass(this._seekHandler,this._config),this._loader.needStashBuffer===!1&&(this._enableStash=!1),this._loader.onContentLengthKnown=this._onContentLengthKnown.bind(this),this._loader.onURLRedirect=this._onURLRedirect.bind(this),this._loader.onDataArrival=this._onLoaderChunkArrival.bind(this),this._loader.onComplete=this._onLoaderComplete.bind(this),this._loader.onError=this._onLoaderError.bind(this)}open(Ae){this._currentRange={from:0,to:-1},Ae&&(this._currentRange.from=Ae),this._speedSampler.reset(),Ae||(this._fullRequestFlag=!0),this._loader.open(this._dataSource,Object.assign({},this._currentRange))}abort(){this._loader.abort(),this._paused&&(this._paused=!1,this._resumeFrom=0)}pause(){this.isWorking()&&(this._loader.abort(),this._stashUsed!==0?(this._resumeFrom=this._stashByteStart,this._currentRange.to=this._stashByteStart-1):this._resumeFrom=this._currentRange.to+1,this._stashUsed=0,this._stashByteStart=0,this._paused=!0)}resume(){if(this._paused){this._paused=!1;let Ae=this._resumeFrom;this._resumeFrom=0,this._internalSeek(Ae,!0)}}seek(Ae){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(Ae,!0)}_internalSeek(Ae,Le){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(Le),this._loader.destroy(),this._loader=null;let Ie={from:Ae,to:-1};this._currentRange={from:Ie.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,Ie),this._onSeeked&&this._onSeeked()}updateUrl(Ae){if(!Ae||typeof Ae!="string"||Ae.length===0)throw new pe("Url must be a non-empty string!");this._dataSource.url=Ae}_expandBuffer(Ae){let Le=this._stashSize;for(;Le+1024*1024*1<Ae;)Le*=2;if(Le+=1024*1024*1,Le===this._bufferSize)return;let Ie=new ArrayBuffer(Le);if(this._stashUsed>0){let ze=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(Ie,0,Le).set(ze,0)}this._stashBuffer=Ie,this._bufferSize=Le}_normalizeSpeed(Ae){let Le=this._speedNormalizeList,Ie=Le.length-1,ze=0,Ze=0,xt=Ie;if(Ae<Le[0])return Le[0];for(;Ze<=xt;){if(ze=Ze+Math.floor((xt-Ze)/2),ze===Ie||Ae>=Le[ze]&&Ae<Le[ze+1])return Le[ze];Le[ze]<Ae?Ze=ze+1:xt=ze-1}}_adjustStashSize(Ae){let Le=0;this._config.isLive||Ae<512?Le=Ae:Ae>=512&&Ae<=1024?Le=Math.floor(Ae*1.5):Le=Ae*2,Le>8192&&(Le=8192);let Ie=Le*1024+1024*1024*1;this._bufferSize<Ie&&this._expandBuffer(Ie),this._stashSize=Le*1024}_dispatchChunks(Ae,Le){return this._currentRange.to=Le+Ae.byteLength-1,this._onDataArrival(Ae,Le)}_onURLRedirect(Ae){this._redirectedURL=Ae,this._onRedirect&&this._onRedirect(Ae)}_onContentLengthKnown(Ae){Ae&&this._fullRequestFlag&&(this._totalLength=Ae,this._fullRequestFlag=!1)}_onLoaderChunkArrival(Ae,Le,Ie){if(!this._onDataArrival)throw new Me("IOController: No existing consumer (onDataArrival) callback!");if(this._paused)return;this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,this._onRecoveredEarlyEof&&this._onRecoveredEarlyEof()),this._speedSampler.addBytes(Ae.byteLength);let ze=this._speedSampler.lastSecondKBps;if(ze!==0){let Ze=this._normalizeSpeed(ze);this._speedNormalized!==Ze&&(this._speedNormalized=Ze,this._adjustStashSize(Ze))}if(this._enableStash)if(this._stashUsed===0&&this._stashByteStart===0&&(this._stashByteStart=Le),this._stashUsed+Ae.byteLength<=this._stashSize)new Uint8Array(this._stashBuffer,0,this._stashSize).set(new Uint8Array(Ae),this._stashUsed),this._stashUsed+=Ae.byteLength;else{let Ze=new Uint8Array(this._stashBuffer,0,this._bufferSize);if(this._stashUsed>0){let xt=this._stashBuffer.slice(0,this._stashUsed),bt=this._dispatchChunks(xt,this._stashByteStart);if(bt<xt.byteLength){if(bt>0){let Yt=new Uint8Array(xt,bt);Ze.set(Yt,0),this._stashUsed=Yt.byteLength,this._stashByteStart+=bt}}else this._stashUsed=0,this._stashByteStart+=bt;this._stashUsed+Ae.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+Ae.byteLength),Ze=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Ze.set(new Uint8Array(Ae),this._stashUsed),this._stashUsed+=Ae.byteLength}else{let xt=this._dispatchChunks(Ae,Le);if(xt<Ae.byteLength){let bt=Ae.byteLength-xt;bt>this._bufferSize&&(this._expandBuffer(bt),Ze=new Uint8Array(this._stashBuffer,0,this._bufferSize)),Ze.set(new Uint8Array(Ae,xt),0),this._stashUsed+=bt,this._stashByteStart=Le+xt}}}else if(this._stashUsed===0){let Ze=this._dispatchChunks(Ae,Le);if(Ze<Ae.byteLength){let xt=Ae.byteLength-Ze;xt>this._bufferSize&&this._expandBuffer(xt),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(Ae,Ze),0),this._stashUsed+=xt,this._stashByteStart=Le+Ze}}else{this._stashUsed+Ae.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+Ae.byteLength);let Ze=new Uint8Array(this._stashBuffer,0,this._bufferSize);Ze.set(new Uint8Array(Ae),this._stashUsed),this._stashUsed+=Ae.byteLength;let xt=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(xt<this._stashUsed&&xt>0){let bt=new Uint8Array(this._stashBuffer,xt);Ze.set(bt,0)}this._stashUsed-=xt,this._stashByteStart+=xt}}_flushStashBuffer(Ae){if(this._stashUsed>0){let Le=this._stashBuffer.slice(0,this._stashUsed),Ie=this._dispatchChunks(Le,this._stashByteStart),ze=Le.byteLength-Ie;if(Ie<Le.byteLength)if(Ae)Ce.w(this.TAG,`${ze} bytes unconsumed data remain when flush buffer, dropped`);else{if(Ie>0){let Ze=new Uint8Array(this._stashBuffer,0,this._bufferSize),xt=new Uint8Array(Le,Ie);Ze.set(xt,0),this._stashUsed=xt.byteLength,this._stashByteStart+=Ie}return 0}return this._stashUsed=0,this._stashByteStart=0,ze}return 0}_onLoaderComplete(Ae,Le){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(Ae,Le){switch(Ce.e(this.TAG,`Loader error, code = ${Le.code}, msg = ${Le.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,Ae=de.UNRECOVERABLE_EARLY_EOF),Ae){case de.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let Ie=this._currentRange.to+1;Ie<this._totalLength&&(Ce.w(this.TAG,"Connection lost, trying reconnect..."),this._isEarlyEofReconnecting=!0,this._internalSeek(Ie,!1));return}Ae=de.UNRECOVERABLE_EARLY_EOF;break}case de.UNRECOVERABLE_EARLY_EOF:case de.CONNECTING_TIMEOUT:case de.HTTP_STATUS_CODE_INVALID:case de.EXCEPTION:break}if(this._onError)this._onError(Ae,Le);else throw new we("IOException: "+Le.msg)}}var qe=$e;const st={enableWorker:!1,enableStashBuffer:!0,stashInitialSize:void 0,isLive:!1,lazyLoad:!0,lazyLoadMaxDuration:3*60,lazyLoadRecoverDuration:30,deferLoadAfterSourceOpen:!0,autoCleanupMaxBackwardDuration:3*60,autoCleanupMinBackwardDuration:2*60,statisticsInfoReportInterval:600,fixAudioTimestampGap:!0,accurateSeek:!1,seekType:"range",seekParamStart:"bstart",seekParamEnd:"bend",rangeLoadZeroStart:!1,customSeekHandler:void 0,reuseRedirectedURL:!1,headers:void 0,customLoader:void 0};function at(){return Object.assign({},st)}class ct{static supportMSEH264Playback(){return window.MediaSource&&window.MediaSource.isTypeSupported('video/mp4; codecs="avc1.42E01E,mp4a.40.2"')}static supportNetworkStreamIO(){let Ae=new qe({},at()),Le=Ae.loaderType;return Ae.destroy(),Le=="fetch-stream-loader"||Le=="xhr-moz-chunked-loader"}static getNetworkLoaderTypeName(){let Ae=new qe({},at()),Le=Ae.loaderType;return Ae.destroy(),Le}static supportNativeMediaPlayback(Ae){ct.videoElement==null&&(ct.videoElement=window.document.createElement("video"));let Le=ct.videoElement.canPlayType(Ae);return Le==="probably"||Le=="maybe"}static getFeatureList(){let Ae={mseFlvPlayback:!1,mseLiveFlvPlayback:!1,networkStreamIO:!1,networkLoaderName:"",nativeMP4H264Playback:!1,nativeWebmVP8Playback:!1,nativeWebmVP9Playback:!1};return Ae.mseFlvPlayback=ct.supportMSEH264Playback(),Ae.networkStreamIO=ct.supportNetworkStreamIO(),Ae.networkLoaderName=ct.getNetworkLoaderTypeName(),Ae.mseLiveFlvPlayback=Ae.mseFlvPlayback&&Ae.networkStreamIO,Ae.nativeMP4H264Playback=ct.supportNativeMediaPlayback('video/mp4; codecs="avc1.42001E, mp4a.40.2"'),Ae.nativeWebmVP8Playback=ct.supportNativeMediaPlayback('video/webm; codecs="vp8.0, vorbis"'),Ae.nativeWebmVP9Playback=ct.supportNativeMediaPlayback('video/webm; codecs="vp9"'),Ae}}var tt=ct,At={ERROR:"error",LOADING_COMPLETE:"loading_complete",RECOVERED_EARLY_EOF:"recovered_early_eof",MEDIA_INFO:"media_info",METADATA_ARRIVED:"metadata_arrived",SCRIPTDATA_ARRIVED:"scriptdata_arrived",STATISTICS_INFO:"statistics_info"};class mt{static get forceGlobalTag(){return Ce.FORCE_GLOBAL_TAG}static set forceGlobalTag(Ae){Ce.FORCE_GLOBAL_TAG=Ae,mt._notifyChange()}static get globalTag(){return Ce.GLOBAL_TAG}static set globalTag(Ae){Ce.GLOBAL_TAG=Ae,mt._notifyChange()}static get enableAll(){return Ce.ENABLE_VERBOSE&&Ce.ENABLE_DEBUG&&Ce.ENABLE_INFO&&Ce.ENABLE_WARN&&Ce.ENABLE_ERROR}static set enableAll(Ae){Ce.ENABLE_VERBOSE=Ae,Ce.ENABLE_DEBUG=Ae,Ce.ENABLE_INFO=Ae,Ce.ENABLE_WARN=Ae,Ce.ENABLE_ERROR=Ae,mt._notifyChange()}static get enableDebug(){return Ce.ENABLE_DEBUG}static set enableDebug(Ae){Ce.ENABLE_DEBUG=Ae,mt._notifyChange()}static get enableVerbose(){return Ce.ENABLE_VERBOSE}static set enableVerbose(Ae){Ce.ENABLE_VERBOSE=Ae,mt._notifyChange()}static get enableInfo(){return Ce.ENABLE_INFO}static set enableInfo(Ae){Ce.ENABLE_INFO=Ae,mt._notifyChange()}static get enableWarn(){return Ce.ENABLE_WARN}static set enableWarn(Ae){Ce.ENABLE_WARN=Ae,mt._notifyChange()}static get enableError(){return Ce.ENABLE_ERROR}static set enableError(Ae){Ce.ENABLE_ERROR=Ae,mt._notifyChange()}static getConfig(){return{globalTag:Ce.GLOBAL_TAG,forceGlobalTag:Ce.FORCE_GLOBAL_TAG,enableVerbose:Ce.ENABLE_VERBOSE,enableDebug:Ce.ENABLE_DEBUG,enableInfo:Ce.ENABLE_INFO,enableWarn:Ce.ENABLE_WARN,enableError:Ce.ENABLE_ERROR,enableCallback:Ce.ENABLE_CALLBACK}}static applyConfig(Ae){Ce.GLOBAL_TAG=Ae.globalTag,Ce.FORCE_GLOBAL_TAG=Ae.forceGlobalTag,Ce.ENABLE_VERBOSE=Ae.enableVerbose,Ce.ENABLE_DEBUG=Ae.enableDebug,Ce.ENABLE_INFO=Ae.enableInfo,Ce.ENABLE_WARN=Ae.enableWarn,Ce.ENABLE_ERROR=Ae.enableError,Ce.ENABLE_CALLBACK=Ae.enableCallback}static _notifyChange(){let Ae=mt.emitter;if(Ae.listenerCount("change")>0){let Le=mt.getConfig();Ae.emit("change",Le)}}static registerListener(Ae){mt.emitter.addListener("change",Ae)}static removeListener(Ae){mt.emitter.removeListener("change",Ae)}static addLogListener(Ae){Ce.emitter.addListener("log",Ae),Ce.emitter.listenerCount("log")>0&&(Ce.ENABLE_CALLBACK=!0,mt._notifyChange())}static removeLogListener(Ae){Ce.emitter.removeListener("log",Ae),Ce.emitter.listenerCount("log")===0&&(Ce.ENABLE_CALLBACK=!1,mt._notifyChange())}}mt.emitter=new(Se());var ht=mt;class vt{constructor(){this.mimeType=null,this.duration=null,this.hasAudio=null,this.hasVideo=null,this.audioCodec=null,this.videoCodec=null,this.audioDataRate=null,this.videoDataRate=null,this.audioSampleRate=null,this.audioChannelCount=null,this.width=null,this.height=null,this.fps=null,this.profile=null,this.level=null,this.refFrames=null,this.chromaFormat=null,this.sarNum=null,this.sarDen=null,this.metadata=null,this.segments=null,this.segmentCount=null,this.hasKeyframesIndex=null,this.keyframesIndex=null}isComplete(){let Ae=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,Le=this.hasVideo===!1||this.hasVideo===!0&&this.videoCodec!=null&&this.width!=null&&this.height!=null&&this.fps!=null&&this.profile!=null&&this.level!=null&&this.refFrames!=null&&this.chromaFormat!=null&&this.sarNum!=null&&this.sarDen!=null;return this.mimeType!=null&&this.duration!=null&&this.metadata!=null&&this.hasKeyframesIndex!=null&&Ae&&Le}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(Ae){if(this.keyframesIndex==null)return null;let Le=this.keyframesIndex,Ie=this._search(Le.times,Ae);return{index:Ie,milliseconds:Le.times[Ie],fileposition:Le.filepositions[Ie]}}_search(Ae,Le){let Ie=0,ze=Ae.length-1,Ze=0,xt=0,bt=ze;for(Le<Ae[0]&&(Ie=0,xt=bt+1);xt<=bt;)if(Ze=xt+Math.floor((bt-xt)/2),Ze===ze||Le>=Ae[Ze]&&Le<Ae[Ze+1]){Ie=Ze;break}else Ae[Ze]<Le?xt=Ze+1:bt=Ze-1;return Ie}}var jt=vt;function qt(pt,Ae,Le){let Ie=pt;if(Ae+Le<Ie.length){for(;Le--;)if((Ie[++Ae]&192)!==128)return!1;return!0}else return!1}function en(pt){let Ae=[],Le=pt,Ie=0,ze=pt.length;for(;Ie<ze;){if(Le[Ie]<128){Ae.push(String.fromCharCode(Le[Ie])),++Ie;continue}else if(!(Le[Ie]<192)){if(Le[Ie]<224){if(qt(Le,Ie,1)){let Ze=(Le[Ie]&31)<<6|Le[Ie+1]&63;if(Ze>=128){Ae.push(String.fromCharCode(Ze&65535)),Ie+=2;continue}}}else if(Le[Ie]<240){if(qt(Le,Ie,2)){let Ze=(Le[Ie]&15)<<12|(Le[Ie+1]&63)<<6|Le[Ie+2]&63;if(Ze>=2048&&(Ze&63488)!==55296){Ae.push(String.fromCharCode(Ze&65535)),Ie+=3;continue}}}else if(Le[Ie]<248&&qt(Le,Ie,3)){let Ze=(Le[Ie]&7)<<18|(Le[Ie+1]&63)<<12|(Le[Ie+2]&63)<<6|Le[Ie+3]&63;if(Ze>65536&&Ze<1114112){Ze-=65536,Ae.push(String.fromCharCode(Ze>>>10|55296)),Ae.push(String.fromCharCode(Ze&1023|56320)),Ie+=4;continue}}}Ae.push("\uFFFD"),++Ie}return Ae.join("")}var mn=en;let Ot=function(){let pt=new ArrayBuffer(2);return new DataView(pt).setInt16(0,256,!0),new Int16Array(pt)[0]===256}();class an{static parseScriptData(Ae,Le,Ie){let ze={};try{let Ze=an.parseValue(Ae,Le,Ie),xt=an.parseValue(Ae,Le+Ze.size,Ie-Ze.size);ze[Ze.data]=xt.data}catch(Ze){Ce.e("AMF",Ze.toString())}return ze}static parseObject(Ae,Le,Ie){if(Ie<3)throw new Me("Data not enough when parse ScriptDataObject");let ze=an.parseString(Ae,Le,Ie),Ze=an.parseValue(Ae,Le+ze.size,Ie-ze.size),xt=Ze.objectEnd;return{data:{name:ze.data,value:Ze.data},size:ze.size+Ze.size,objectEnd:xt}}static parseVariable(Ae,Le,Ie){return an.parseObject(Ae,Le,Ie)}static parseString(Ae,Le,Ie){if(Ie<2)throw new Me("Data not enough when parse String");let Ze=new DataView(Ae,Le,Ie).getUint16(0,!Ot),xt;return Ze>0?xt=mn(new Uint8Array(Ae,Le+2,Ze)):xt="",{data:xt,size:2+Ze}}static parseLongString(Ae,Le,Ie){if(Ie<4)throw new Me("Data not enough when parse LongString");let Ze=new DataView(Ae,Le,Ie).getUint32(0,!Ot),xt;return Ze>0?xt=mn(new Uint8Array(Ae,Le+4,Ze)):xt="",{data:xt,size:4+Ze}}static parseDate(Ae,Le,Ie){if(Ie<10)throw new Me("Data size invalid when parse Date");let ze=new DataView(Ae,Le,Ie),Ze=ze.getFloat64(0,!Ot),xt=ze.getInt16(8,!Ot);return Ze+=xt*60*1e3,{data:new Date(Ze),size:10}}static parseValue(Ae,Le,Ie){if(Ie<1)throw new Me("Data not enough when parse Value");let ze=new DataView(Ae,Le,Ie),Ze=1,xt=ze.getUint8(0),bt,Yt=!1;try{switch(xt){case 0:bt=ze.getFloat64(1,!Ot),Ze+=8;break;case 1:{bt=!!ze.getUint8(1),Ze+=1;break}case 2:{let Ht=an.parseString(Ae,Le+1,Ie-1);bt=Ht.data,Ze+=Ht.size;break}case 3:{bt={};let Ht=0;for((ze.getUint32(Ie-4,!Ot)&16777215)===9&&(Ht=3);Ze<Ie-4;){let cn=an.parseObject(Ae,Le+Ze,Ie-Ze-Ht);if(cn.objectEnd)break;bt[cn.data.name]=cn.data.value,Ze+=cn.size}Ze<=Ie-3&&(ze.getUint32(Ze-1,!Ot)&16777215)===9&&(Ze+=3);break}case 8:{bt={},Ze+=4;let Ht=0;for((ze.getUint32(Ie-4,!Ot)&16777215)===9&&(Ht=3);Ze<Ie-8;){let cn=an.parseVariable(Ae,Le+Ze,Ie-Ze-Ht);if(cn.objectEnd)break;bt[cn.data.name]=cn.data.value,Ze+=cn.size}Ze<=Ie-3&&(ze.getUint32(Ze-1,!Ot)&16777215)===9&&(Ze+=3);break}case 9:bt=void 0,Ze=1,Yt=!0;break;case 10:{bt=[];let Ht=ze.getUint32(1,!Ot);Ze+=4;for(let cn=0;cn<Ht;cn++){let dn=an.parseValue(Ae,Le+Ze,Ie-Ze);bt.push(dn.data),Ze+=dn.size}break}case 11:{let Ht=an.parseDate(Ae,Le+1,Ie-1);bt=Ht.data,Ze+=Ht.size;break}case 12:{let Ht=an.parseString(Ae,Le+1,Ie-1);bt=Ht.data,Ze+=Ht.size;break}default:Ze=Ie,Ce.w("AMF","Unsupported AMF value type "+xt)}}catch(Ht){Ce.e("AMF",Ht.toString())}return{data:bt,size:Ze,objectEnd:Yt}}}var nn=an;class Dn{constructor(Ae){this.TAG="ExpGolomb",this._buffer=Ae,this._buffer_index=0,this._total_bytes=Ae.byteLength,this._total_bits=Ae.byteLength*8,this._current_word=0,this._current_word_bits_left=0}destroy(){this._buffer=null}_fillCurrentWord(){let Ae=this._total_bytes-this._buffer_index;if(Ae<=0)throw new Me("ExpGolomb: _fillCurrentWord() but no bytes available");let Le=Math.min(4,Ae),Ie=new Uint8Array(4);Ie.set(this._buffer.subarray(this._buffer_index,this._buffer_index+Le)),this._current_word=new DataView(Ie.buffer).getUint32(0,!1),this._buffer_index+=Le,this._current_word_bits_left=Le*8}readBits(Ae){if(Ae>32)throw new pe("ExpGolomb: readBits() bits exceeded max 32bits!");if(Ae<=this._current_word_bits_left){let xt=this._current_word>>>32-Ae;return this._current_word<<=Ae,this._current_word_bits_left-=Ae,xt}let Le=this._current_word_bits_left?this._current_word:0;Le=Le>>>32-this._current_word_bits_left;let Ie=Ae-this._current_word_bits_left;this._fillCurrentWord();let ze=Math.min(Ie,this._current_word_bits_left),Ze=this._current_word>>>32-ze;return this._current_word<<=ze,this._current_word_bits_left-=ze,Le=Le<<ze|Ze,Le}readBool(){return this.readBits(1)===1}readByte(){return this.readBits(8)}_skipLeadingZero(){let Ae;for(Ae=0;Ae<this._current_word_bits_left;Ae++)if(this._current_word&2147483648>>>Ae)return this._current_word<<=Ae,this._current_word_bits_left-=Ae,Ae;return this._fillCurrentWord(),Ae+this._skipLeadingZero()}readUEG(){let Ae=this._skipLeadingZero();return this.readBits(Ae+1)-1}readSEG(){let Ae=this.readUEG();return Ae&1?Ae+1>>>1:-1*(Ae>>>1)}}var Nn=Dn;class sn{static _ebsp2rbsp(Ae){let Le=Ae,Ie=Le.byteLength,ze=new Uint8Array(Ie),Ze=0;for(let xt=0;xt<Ie;xt++)xt>=2&&Le[xt]===3&&Le[xt-1]===0&&Le[xt-2]===0||(ze[Ze]=Le[xt],Ze++);return new Uint8Array(ze.buffer,0,Ze)}static parseSPS(Ae){let Le=sn._ebsp2rbsp(Ae),Ie=new Nn(Le);Ie.readByte();let ze=Ie.readByte();Ie.readByte();let Ze=Ie.readByte();Ie.readUEG();let xt=sn.getProfileString(ze),bt=sn.getLevelString(Ze),Yt=1,Ht=420,cn=[0,420,422,444],dn=8;if((ze===100||ze===110||ze===122||ze===244||ze===44||ze===83||ze===86||ze===118||ze===128||ze===138||ze===144)&&(Yt=Ie.readUEG(),Yt===3&&Ie.readBits(1),Yt<=3&&(Ht=cn[Yt]),dn=Ie.readUEG()+8,Ie.readUEG(),Ie.readBits(1),Ie.readBool())){let Da=Yt!==3?8:12;for(let sa=0;sa<Da;sa++)Ie.readBool()&&(sa<6?sn._skipScalingList(Ie,16):sn._skipScalingList(Ie,64))}Ie.readUEG();let Zn=Ie.readUEG();if(Zn===0)Ie.readUEG();else if(Zn===1){Ie.readBits(1),Ie.readSEG(),Ie.readSEG();let Da=Ie.readUEG();for(let sa=0;sa<Da;sa++)Ie.readSEG()}let Mn=Ie.readUEG();Ie.readBits(1);let er=Ie.readUEG(),rr=Ie.readUEG(),mr=Ie.readBits(1);mr===0&&Ie.readBits(1),Ie.readBits(1);let pn=0,tn=0,Tn=0,Hn=0;Ie.readBool()&&(pn=Ie.readUEG(),tn=Ie.readUEG(),Tn=Ie.readUEG(),Hn=Ie.readUEG());let br=1,tr=1,hr=0,vr=!0,Bn=0,xr=0;if(Ie.readBool()){if(Ie.readBool()){let Da=Ie.readByte(),sa=[1,12,10,16,40,24,20,32,80,18,15,64,160,4,3,2],Ja=[1,11,11,11,33,11,11,11,33,11,11,33,99,3,2,1];Da>0&&Da<16?(br=sa[Da-1],tr=Ja[Da-1]):Da===255&&(br=Ie.readByte()<<8|Ie.readByte(),tr=Ie.readByte()<<8|Ie.readByte())}if(Ie.readBool()&&Ie.readBool(),Ie.readBool()&&(Ie.readBits(4),Ie.readBool()&&Ie.readBits(24)),Ie.readBool()&&(Ie.readUEG(),Ie.readUEG()),Ie.readBool()){let Da=Ie.readBits(32),sa=Ie.readBits(32);vr=Ie.readBool(),Bn=sa,xr=Da*2,hr=Bn/xr}}let Nr=1;(br!==1||tr!==1)&&(Nr=br/tr);let Xa=0,$a=0;if(Yt===0)Xa=1,$a=2-mr;else{let Da=Yt===3?1:2,sa=Yt===1?2:1;Xa=Da,$a=sa*(2-mr)}let ai=(er+1)*16,Zr=(2-mr)*((rr+1)*16);ai-=(pn+tn)*Xa,Zr-=(Tn+Hn)*$a;let ua=Math.ceil(ai*Nr);return Ie.destroy(),Ie=null,{profile_string:xt,level_string:bt,bit_depth:dn,ref_frames:Mn,chroma_format:Ht,chroma_format_string:sn.getChromaFormatString(Ht),frame_rate:{fixed:vr,fps:hr,fps_den:xr,fps_num:Bn},sar_ratio:{width:br,height:tr},codec_size:{width:ai,height:Zr},present_size:{width:ua,height:Zr}}}static _skipScalingList(Ae,Le){let Ie=8,ze=8,Ze=0;for(let xt=0;xt<Le;xt++)ze!==0&&(Ze=Ae.readSEG(),ze=(Ie+Ze+256)%256),Ie=ze===0?Ie:ze}static getProfileString(Ae){switch(Ae){case 66:return"Baseline";case 77:return"Main";case 88:return"Extended";case 100:return"High";case 110:return"High10";case 122:return"High422";case 244:return"High444";default:return"Unknown"}}static getLevelString(Ae){return(Ae/10).toFixed(1)}static getChromaFormatString(Ae){switch(Ae){case 420:return"4:2:0";case 422:return"4:2:2";case 444:return"4:4:4";default:return"Unknown"}}}var fn=sn,Tt={OK:"OK",FORMAT_ERROR:"FormatError",FORMAT_UNSUPPORTED:"FormatUnsupported",CODEC_UNSUPPORTED:"CodecUnsupported"};function yt(pt){return pt>>>8&255|(pt&255)<<8}function Gt(pt){return(pt&4278190080)>>>24|(pt&16711680)>>>8|(pt&65280)<<8|(pt&255)<<24}function gt(pt,Ae){return pt[Ae]<<24|pt[Ae+1]<<16|pt[Ae+2]<<8|pt[Ae+3]}class St{constructor(Ae,Le){this.TAG="FLVDemuxer",this._config=Le,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=Ae.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=Ae.hasAudioTrack,this._hasVideo=Ae.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new jt,this._mediaInfo.hasAudio=this._hasAudio,this._mediaInfo.hasVideo=this._hasVideo,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._naluLengthSize=4,this._timestampBase=0,this._timescale=1e3,this._duration=0,this._durationOverrided=!1,this._referenceFrameRate={fixed:!0,fps:23.976,fps_num:23976,fps_den:1e3},this._flvSoundRateTable=[5500,11025,22050,44100,48e3],this._mpegSamplingRates=[96e3,88200,64e3,48e3,44100,32e3,24e3,22050,16e3,12e3,11025,8e3,7350],this._mpegAudioV10SampleRateTable=[44100,48e3,32e3,0],this._mpegAudioV20SampleRateTable=[22050,24e3,16e3,0],this._mpegAudioV25SampleRateTable=[11025,12e3,8e3,0],this._mpegAudioL1BitRateTable=[0,32,64,96,128,160,192,224,256,288,320,352,384,416,448,-1],this._mpegAudioL2BitRateTable=[0,32,48,56,64,80,96,112,128,160,192,224,256,320,384,-1],this._mpegAudioL3BitRateTable=[0,32,40,48,56,64,80,96,112,128,160,192,224,256,320,-1],this._videoTrack={type:"video",id:1,sequenceNumber:0,samples:[],length:0},this._audioTrack={type:"audio",id:2,sequenceNumber:0,samples:[],length:0},this._littleEndian=function(){let Ie=new ArrayBuffer(2);return new DataView(Ie).setInt16(0,256,!0),new Int16Array(Ie)[0]===256}()}destroy(){this._mediaInfo=null,this._metadata=null,this._audioMetadata=null,this._videoMetadata=null,this._videoTrack=null,this._audioTrack=null,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null}static probe(Ae){let Le=new Uint8Array(Ae),Ie={match:!1};if(Le[0]!==70||Le[1]!==76||Le[2]!==86||Le[3]!==1)return Ie;let ze=(Le[4]&4)>>>2!==0,Ze=(Le[4]&1)!==0,xt=gt(Le,5);return xt<9?Ie:{match:!0,consumed:xt,dataOffset:xt,hasAudioTrack:ze,hasVideoTrack:Ze}}bindDataSource(Ae){return Ae.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(Ae){this._onTrackMetadata=Ae}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(Ae){this._onMediaInfo=Ae}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(Ae){this._onMetaDataArrived=Ae}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(Ae){this._onScriptDataArrived=Ae}get onError(){return this._onError}set onError(Ae){this._onError=Ae}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(Ae){this._onDataAvailable=Ae}get timestampBase(){return this._timestampBase}set timestampBase(Ae){this._timestampBase=Ae}get overridedDuration(){return this._duration}set overridedDuration(Ae){this._durationOverrided=!0,this._duration=Ae,this._mediaInfo.duration=Ae}set overridedHasAudio(Ae){this._hasAudioFlagOverrided=!0,this._hasAudio=Ae,this._mediaInfo.hasAudio=Ae}set overridedHasVideo(Ae){this._hasVideoFlagOverrided=!0,this._hasVideo=Ae,this._mediaInfo.hasVideo=Ae}resetMediaInfo(){this._mediaInfo=new jt}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(Ae,Le){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new Me("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let Ie=0,ze=this._littleEndian;if(Le===0)if(Ae.byteLength>13)Ie=St.probe(Ae).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,Le+Ie!==this._dataOffset&&Ce.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(Ae,Ie).getUint32(0,!ze)!==0&&Ce.w(this.TAG,"PrevTagSize0 !== 0 !!!"),Ie+=4);Ie<Ae.byteLength;){this._dispatch=!0;let Ze=new DataView(Ae,Ie);if(Ie+11+4>Ae.byteLength)break;let xt=Ze.getUint8(0),bt=Ze.getUint32(0,!ze)&16777215;if(Ie+11+bt+4>Ae.byteLength)break;if(xt!==8&&xt!==9&&xt!==18){Ce.w(this.TAG,`Unsupported tag type ${xt}, skipped`),Ie+=11+bt+4;continue}let Yt=Ze.getUint8(4),Ht=Ze.getUint8(5),cn=Ze.getUint8(6),dn=Ze.getUint8(7),Zn=cn|Ht<<8|Yt<<16|dn<<24;(Ze.getUint32(7,!ze)&16777215)!==0&&Ce.w(this.TAG,"Meet tag which has StreamID != 0!");let er=Ie+11;switch(xt){case 8:this._parseAudioData(Ae,er,bt,Zn);break;case 9:this._parseVideoData(Ae,er,bt,Zn,Le+Ie);break;case 18:this._parseScriptData(Ae,er,bt);break}let rr=Ze.getUint32(11+bt,!ze);rr!==11+bt&&Ce.w(this.TAG,`Invalid PrevTagSize ${rr}`),Ie+=11+bt+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),Ie}_parseScriptData(Ae,Le,Ie){let ze=nn.parseScriptData(Ae,Le,Ie);if(ze.hasOwnProperty("onMetaData")){if(ze.onMetaData==null||typeof ze.onMetaData!="object"){Ce.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&Ce.w(this.TAG,"Found another onMetaData tag!"),this._metadata=ze;let Ze=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},Ze)),typeof Ze.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=Ze.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof Ze.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=Ze.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof Ze.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=Ze.audiodatarate),typeof Ze.videodatarate=="number"&&(this._mediaInfo.videoDataRate=Ze.videodatarate),typeof Ze.width=="number"&&(this._mediaInfo.width=Ze.width),typeof Ze.height=="number"&&(this._mediaInfo.height=Ze.height),typeof Ze.duration=="number"){if(!this._durationOverrided){let xt=Math.floor(Ze.duration*this._timescale);this._duration=xt,this._mediaInfo.duration=xt}}else this._mediaInfo.duration=0;if(typeof Ze.framerate=="number"){let xt=Math.floor(Ze.framerate*1e3);if(xt>0){let bt=xt/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=bt,this._referenceFrameRate.fps_num=xt,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=bt}}if(typeof Ze.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let xt=Ze.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(xt),Ze.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=Ze,Ce.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(ze).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},ze))}_parseKeyframesIndex(Ae){let Le=[],Ie=[];for(let ze=1;ze<Ae.times.length;ze++){let Ze=this._timestampBase+Math.floor(Ae.times[ze]*1e3);Le.push(Ze),Ie.push(Ae.filepositions[ze])}return{times:Le,filepositions:Ie}}_parseAudioData(Ae,Le,Ie,ze){if(Ie<=1){Ce.w(this.TAG,"Flv: Invalid audio packet, missing SoundData payload!");return}if(this._hasAudioFlagOverrided===!0&&this._hasAudio===!1)return;let Ze=this._littleEndian,bt=new DataView(Ae,Le,Ie).getUint8(0),Yt=bt>>>4;if(Yt!==2&&Yt!==10){this._onError(Tt.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+Yt);return}let Ht=0,cn=(bt&12)>>>2;if(cn>=0&&cn<=4)Ht=this._flvSoundRateTable[cn];else{this._onError(Tt.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+cn);return}let dn=(bt&2)>>>1,Zn=bt&1,Mn=this._audioMetadata,er=this._audioTrack;if(Mn||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),Mn=this._audioMetadata={},Mn.type="audio",Mn.id=er.id,Mn.timescale=this._timescale,Mn.duration=this._duration,Mn.audioSampleRate=Ht,Mn.channelCount=Zn===0?1:2),Yt===10){let rr=this._parseAACAudioData(Ae,Le+1,Ie-1);if(rr==null)return;if(rr.packetType===0){Mn.config&&Ce.w(this.TAG,"Found another AudioSpecificConfig!");let mr=rr.data;Mn.audioSampleRate=mr.samplingRate,Mn.channelCount=mr.channelCount,Mn.codec=mr.codec,Mn.originalCodec=mr.originalCodec,Mn.config=mr.config,Mn.refSampleDuration=1024/Mn.audioSampleRate*Mn.timescale,Ce.v(this.TAG,"Parsed AudioSpecificConfig"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._audioInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("audio",Mn);let pn=this._mediaInfo;pn.audioCodec=Mn.originalCodec,pn.audioSampleRate=Mn.audioSampleRate,pn.audioChannelCount=Mn.channelCount,pn.hasVideo?pn.videoCodec!=null&&(pn.mimeType='video/x-flv; codecs="'+pn.videoCodec+","+pn.audioCodec+'"'):pn.mimeType='video/x-flv; codecs="'+pn.audioCodec+'"',pn.isComplete()&&this._onMediaInfo(pn)}else if(rr.packetType===1){let mr=this._timestampBase+ze,pn={unit:rr.data,length:rr.data.byteLength,dts:mr,pts:mr};er.samples.push(pn),er.length+=rr.data.length}else Ce.e(this.TAG,`Flv: Unsupported AAC data type ${rr.packetType}`)}else if(Yt===2){if(!Mn.codec){let tn=this._parseMP3AudioData(Ae,Le+1,Ie-1,!0);if(tn==null)return;Mn.audioSampleRate=tn.samplingRate,Mn.channelCount=tn.channelCount,Mn.codec=tn.codec,Mn.originalCodec=tn.originalCodec,Mn.refSampleDuration=1152/Mn.audioSampleRate*Mn.timescale,Ce.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",Mn);let Tn=this._mediaInfo;Tn.audioCodec=Mn.codec,Tn.audioSampleRate=Mn.audioSampleRate,Tn.audioChannelCount=Mn.channelCount,Tn.audioDataRate=tn.bitRate,Tn.hasVideo?Tn.videoCodec!=null&&(Tn.mimeType='video/x-flv; codecs="'+Tn.videoCodec+","+Tn.audioCodec+'"'):Tn.mimeType='video/x-flv; codecs="'+Tn.audioCodec+'"',Tn.isComplete()&&this._onMediaInfo(Tn)}let rr=this._parseMP3AudioData(Ae,Le+1,Ie-1,!1);if(rr==null)return;let mr=this._timestampBase+ze,pn={unit:rr,length:rr.byteLength,dts:mr,pts:mr};er.samples.push(pn),er.length+=rr.length}}_parseAACAudioData(Ae,Le,Ie){if(Ie<=1){Ce.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let ze={},Ze=new Uint8Array(Ae,Le,Ie);return ze.packetType=Ze[0],Ze[0]===0?ze.data=this._parseAACAudioSpecificConfig(Ae,Le+1,Ie-1):ze.data=Ze.subarray(1),ze}_parseAACAudioSpecificConfig(Ae,Le,Ie){let ze=new Uint8Array(Ae,Le,Ie),Ze=null,xt=0,bt=0,Yt=null,Ht=0,cn=null;if(xt=bt=ze[0]>>>3,Ht=(ze[0]&7)<<1|ze[1]>>>7,Ht<0||Ht>=this._mpegSamplingRates.length){this._onError(Tt.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let dn=this._mpegSamplingRates[Ht],Zn=(ze[1]&120)>>>3;if(Zn<0||Zn>=8){this._onError(Tt.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}xt===5&&(cn=(ze[1]&7)<<1|ze[2]>>>7,Yt=(ze[2]&124)>>>2);let Mn=self.navigator.userAgent.toLowerCase();return Mn.indexOf("firefox")!==-1?Ht>=6?(xt=5,Ze=new Array(4),cn=Ht-3):(xt=2,Ze=new Array(2),cn=Ht):Mn.indexOf("android")!==-1?(xt=2,Ze=new Array(2),cn=Ht):(xt=5,cn=Ht,Ze=new Array(4),Ht>=6?cn=Ht-3:Zn===1&&(xt=2,Ze=new Array(2),cn=Ht)),Ze[0]=xt<<3,Ze[0]|=(Ht&15)>>>1,Ze[1]=(Ht&15)<<7,Ze[1]|=(Zn&15)<<3,xt===5&&(Ze[1]|=(cn&15)>>>1,Ze[2]=(cn&1)<<7,Ze[2]|=8,Ze[3]=0),{config:Ze,samplingRate:dn,channelCount:Zn,codec:"mp4a.40."+xt,originalCodec:"mp4a.40."+bt}}_parseMP3AudioData(Ae,Le,Ie,ze){if(Ie<4){Ce.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let Ze=this._littleEndian,xt=new Uint8Array(Ae,Le,Ie),bt=null;if(ze){if(xt[0]!==255)return;let Yt=xt[1]>>>3&3,Ht=(xt[1]&6)>>1,cn=(xt[2]&240)>>>4,dn=(xt[2]&12)>>>2,Mn=(xt[3]>>>6&3)!==3?2:1,er=0,rr=0,mr=34,pn="mp3";switch(Yt){case 0:er=this._mpegAudioV25SampleRateTable[dn];break;case 2:er=this._mpegAudioV20SampleRateTable[dn];break;case 3:er=this._mpegAudioV10SampleRateTable[dn];break}switch(Ht){case 1:mr=34,cn<this._mpegAudioL3BitRateTable.length&&(rr=this._mpegAudioL3BitRateTable[cn]);break;case 2:mr=33,cn<this._mpegAudioL2BitRateTable.length&&(rr=this._mpegAudioL2BitRateTable[cn]);break;case 3:mr=32,cn<this._mpegAudioL1BitRateTable.length&&(rr=this._mpegAudioL1BitRateTable[cn]);break}bt={bitRate:rr,samplingRate:er,channelCount:Mn,codec:pn,originalCodec:pn}}else bt=xt;return bt}_parseVideoData(Ae,Le,Ie,ze,Ze){if(Ie<=1){Ce.w(this.TAG,"Flv: Invalid video packet, missing VideoData payload!");return}if(this._hasVideoFlagOverrided===!0&&this._hasVideo===!1)return;let xt=new Uint8Array(Ae,Le,Ie)[0],bt=(xt&240)>>>4,Yt=xt&15;if(Yt!==7){this._onError(Tt.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${Yt}`);return}this._parseAVCVideoPacket(Ae,Le+1,Ie-1,ze,Ze,bt)}_parseAVCVideoPacket(Ae,Le,Ie,ze,Ze,xt){if(Ie<4){Ce.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let bt=this._littleEndian,Yt=new DataView(Ae,Le,Ie),Ht=Yt.getUint8(0),dn=(Yt.getUint32(0,!bt)&16777215)<<8>>8;if(Ht===0)this._parseAVCDecoderConfigurationRecord(Ae,Le+4,Ie-4);else if(Ht===1)this._parseAVCVideoData(Ae,Le+4,Ie-4,ze,Ze,xt,dn);else if(Ht!==2){this._onError(Tt.FORMAT_ERROR,`Flv: Invalid video packet type ${Ht}`);return}}_parseAVCDecoderConfigurationRecord(Ae,Le,Ie){if(Ie<7){Ce.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let ze=this._videoMetadata,Ze=this._videoTrack,xt=this._littleEndian,bt=new DataView(Ae,Le,Ie);ze?typeof ze.avcc!="undefined"&&Ce.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),ze=this._videoMetadata={},ze.type="video",ze.id=Ze.id,ze.timescale=this._timescale,ze.duration=this._duration);let Yt=bt.getUint8(0),Ht=bt.getUint8(1),cn=bt.getUint8(2),dn=bt.getUint8(3);if(Yt!==1||Ht===0){this._onError(Tt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(bt.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(Tt.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Zn=bt.getUint8(5)&31;if(Zn===0){this._onError(Tt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Zn>1&&Ce.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Zn}`);let Mn=6;for(let rr=0;rr<Zn;rr++){let mr=bt.getUint16(Mn,!xt);if(Mn+=2,mr===0)continue;let pn=new Uint8Array(Ae,Le+Mn,mr);Mn+=mr;let tn=fn.parseSPS(pn);if(rr!==0)continue;ze.codecWidth=tn.codec_size.width,ze.codecHeight=tn.codec_size.height,ze.presentWidth=tn.present_size.width,ze.presentHeight=tn.present_size.height,ze.profile=tn.profile_string,ze.level=tn.level_string,ze.bitDepth=tn.bit_depth,ze.chromaFormat=tn.chroma_format,ze.sarRatio=tn.sar_ratio,ze.frameRate=tn.frame_rate,(tn.frame_rate.fixed===!1||tn.frame_rate.fps_num===0||tn.frame_rate.fps_den===0)&&(ze.frameRate=this._referenceFrameRate);let Tn=ze.frameRate.fps_den,Hn=ze.frameRate.fps_num;ze.refSampleDuration=ze.timescale*(Tn/Hn);let fr=pn.subarray(1,4),br="avc1.";for(let hr=0;hr<3;hr++){let vr=fr[hr].toString(16);vr.length<2&&(vr="0"+vr),br+=vr}ze.codec=br;let tr=this._mediaInfo;tr.width=ze.codecWidth,tr.height=ze.codecHeight,tr.fps=ze.frameRate.fps,tr.profile=ze.profile,tr.level=ze.level,tr.refFrames=tn.ref_frames,tr.chromaFormat=tn.chroma_format_string,tr.sarNum=ze.sarRatio.width,tr.sarDen=ze.sarRatio.height,tr.videoCodec=br,tr.hasAudio?tr.audioCodec!=null&&(tr.mimeType='video/x-flv; codecs="'+tr.videoCodec+","+tr.audioCodec+'"'):tr.mimeType='video/x-flv; codecs="'+tr.videoCodec+'"',tr.isComplete()&&this._onMediaInfo(tr)}let er=bt.getUint8(Mn);if(er===0){this._onError(Tt.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No PPS");return}else er>1&&Ce.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${er}`);Mn++;for(let rr=0;rr<er;rr++){let mr=bt.getUint16(Mn,!xt);Mn+=2,mr!==0&&(Mn+=mr)}ze.avcc=new Uint8Array(Ie),ze.avcc.set(new Uint8Array(Ae,Le,Ie),0),Ce.v(this.TAG,"Parsed AVCDecoderConfigurationRecord"),this._isInitialMetadataDispatched()?this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack):this._videoInitialMetadataDispatched=!0,this._dispatch=!1,this._onTrackMetadata("video",ze)}_parseAVCVideoData(Ae,Le,Ie,ze,Ze,xt,bt){let Yt=this._littleEndian,Ht=new DataView(Ae,Le,Ie),cn=[],dn=0,Zn=0;const Mn=this._naluLengthSize;let er=this._timestampBase+ze,rr=xt===1;for(;Zn<Ie;){if(Zn+4>=Ie){Ce.w(this.TAG,`Malformed Nalu near timestamp ${er}, offset = ${Zn}, dataSize = ${Ie}`);break}let mr=Ht.getUint32(Zn,!Yt);if(Mn===3&&(mr>>>=8),mr>Ie-Mn){Ce.w(this.TAG,`Malformed Nalus near timestamp ${er}, NaluSize > DataSize!`);return}let pn=Ht.getUint8(Zn+Mn)&31;pn===5&&(rr=!0);let tn=new Uint8Array(Ae,Le+Zn,Mn+mr),Tn={type:pn,data:tn};cn.push(Tn),dn+=tn.byteLength,Zn+=Mn+mr}if(cn.length){let mr=this._videoTrack,pn={units:cn,length:dn,isKeyframe:rr,dts:er,cts:bt,pts:er+bt};rr&&(pn.fileposition=Ze),mr.samples.push(pn),mr.length+=dn}}}var Qt=St;class Nt{static init(){Nt.types={avc1:[],avcC:[],btrt:[],dinf:[],dref:[],esds:[],ftyp:[],hdlr:[],mdat:[],mdhd:[],mdia:[],mfhd:[],minf:[],moof:[],moov:[],mp4a:[],mvex:[],mvhd:[],sdtp:[],stbl:[],stco:[],stsc:[],stsd:[],stsz:[],stts:[],tfdt:[],tfhd:[],traf:[],trak:[],trun:[],trex:[],tkhd:[],vmhd:[],smhd:[],".mp3":[]};for(let Le in Nt.types)Nt.types.hasOwnProperty(Le)&&(Nt.types[Le]=[Le.charCodeAt(0),Le.charCodeAt(1),Le.charCodeAt(2),Le.charCodeAt(3)]);let Ae=Nt.constants={};Ae.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),Ae.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),Ae.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),Ae.STSC=Ae.STCO=Ae.STTS,Ae.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),Ae.HDLR_VIDEO=new Uint8Array([0,0,0,0,0,0,0,0,118,105,100,101,0,0,0,0,0,0,0,0,0,0,0,0,86,105,100,101,111,72,97,110,100,108,101,114,0]),Ae.HDLR_AUDIO=new Uint8Array([0,0,0,0,0,0,0,0,115,111,117,110,0,0,0,0,0,0,0,0,0,0,0,0,83,111,117,110,100,72,97,110,100,108,101,114,0]),Ae.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),Ae.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),Ae.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(Ae){let Le=8,Ie=null,ze=Array.prototype.slice.call(arguments,1),Ze=ze.length;for(let bt=0;bt<Ze;bt++)Le+=ze[bt].byteLength;Ie=new Uint8Array(Le),Ie[0]=Le>>>24&255,Ie[1]=Le>>>16&255,Ie[2]=Le>>>8&255,Ie[3]=Le&255,Ie.set(Ae,4);let xt=8;for(let bt=0;bt<Ze;bt++)Ie.set(ze[bt],xt),xt+=ze[bt].byteLength;return Ie}static generateInitSegment(Ae){let Le=Nt.box(Nt.types.ftyp,Nt.constants.FTYP),Ie=Nt.moov(Ae),ze=new Uint8Array(Le.byteLength+Ie.byteLength);return ze.set(Le,0),ze.set(Ie,Le.byteLength),ze}static moov(Ae){let Le=Nt.mvhd(Ae.timescale,Ae.duration),Ie=Nt.trak(Ae),ze=Nt.mvex(Ae);return Nt.box(Nt.types.moov,Le,Ie,ze)}static mvhd(Ae,Le){return Nt.box(Nt.types.mvhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,Ae>>>24&255,Ae>>>16&255,Ae>>>8&255,Ae&255,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,255,255,255,255]))}static trak(Ae){return Nt.box(Nt.types.trak,Nt.tkhd(Ae),Nt.mdia(Ae))}static tkhd(Ae){let Le=Ae.id,Ie=Ae.duration,ze=Ae.presentWidth,Ze=Ae.presentHeight;return Nt.box(Nt.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,0,0,0,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,64,0,0,0,ze>>>8&255,ze&255,0,0,Ze>>>8&255,Ze&255,0,0]))}static mdia(Ae){return Nt.box(Nt.types.mdia,Nt.mdhd(Ae),Nt.hdlr(Ae),Nt.minf(Ae))}static mdhd(Ae){let Le=Ae.timescale,Ie=Ae.duration;return Nt.box(Nt.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255,85,196,0,0]))}static hdlr(Ae){let Le=null;return Ae.type==="audio"?Le=Nt.constants.HDLR_AUDIO:Le=Nt.constants.HDLR_VIDEO,Nt.box(Nt.types.hdlr,Le)}static minf(Ae){let Le=null;return Ae.type==="audio"?Le=Nt.box(Nt.types.smhd,Nt.constants.SMHD):Le=Nt.box(Nt.types.vmhd,Nt.constants.VMHD),Nt.box(Nt.types.minf,Le,Nt.dinf(),Nt.stbl(Ae))}static dinf(){return Nt.box(Nt.types.dinf,Nt.box(Nt.types.dref,Nt.constants.DREF))}static stbl(Ae){return Nt.box(Nt.types.stbl,Nt.stsd(Ae),Nt.box(Nt.types.stts,Nt.constants.STTS),Nt.box(Nt.types.stsc,Nt.constants.STSC),Nt.box(Nt.types.stsz,Nt.constants.STSZ),Nt.box(Nt.types.stco,Nt.constants.STCO))}static stsd(Ae){return Ae.type==="audio"?Ae.codec==="mp3"?Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.mp3(Ae)):Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.mp4a(Ae)):Nt.box(Nt.types.stsd,Nt.constants.STSD_PREFIX,Nt.avc1(Ae))}static mp3(Ae){let Le=Ae.channelCount,Ie=Ae.audioSampleRate,ze=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Le,0,16,0,0,0,0,Ie>>>8&255,Ie&255,0,0]);return Nt.box(Nt.types[".mp3"],ze)}static mp4a(Ae){let Le=Ae.channelCount,Ie=Ae.audioSampleRate,ze=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Le,0,16,0,0,0,0,Ie>>>8&255,Ie&255,0,0]);return Nt.box(Nt.types.mp4a,ze,Nt.esds(Ae))}static esds(Ae){let Le=Ae.config||[],Ie=Le.length,ze=new Uint8Array([0,0,0,0,3,23+Ie,0,1,0,4,15+Ie,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([Ie]).concat(Le).concat([6,1,2]));return Nt.box(Nt.types.esds,ze)}static avc1(Ae){let Le=Ae.avcc,Ie=Ae.codecWidth,ze=Ae.codecHeight,Ze=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,Ie>>>8&255,Ie&255,ze>>>8&255,ze&255,0,72,0,0,0,72,0,0,0,0,0,0,0,1,10,120,113,113,47,102,108,118,46,106,115,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,24,255,255]);return Nt.box(Nt.types.avc1,Ze,Nt.box(Nt.types.avcC,Le))}static mvex(Ae){return Nt.box(Nt.types.mvex,Nt.trex(Ae))}static trex(Ae){let Le=Ae.id,Ie=new Uint8Array([0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return Nt.box(Nt.types.trex,Ie)}static moof(Ae,Le){return Nt.box(Nt.types.moof,Nt.mfhd(Ae.sequenceNumber),Nt.traf(Ae,Le))}static mfhd(Ae){let Le=new Uint8Array([0,0,0,0,Ae>>>24&255,Ae>>>16&255,Ae>>>8&255,Ae&255]);return Nt.box(Nt.types.mfhd,Le)}static traf(Ae,Le){let Ie=Ae.id,ze=Nt.box(Nt.types.tfhd,new Uint8Array([0,0,0,0,Ie>>>24&255,Ie>>>16&255,Ie>>>8&255,Ie&255])),Ze=Nt.box(Nt.types.tfdt,new Uint8Array([0,0,0,0,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255])),xt=Nt.sdtp(Ae),bt=Nt.trun(Ae,xt.byteLength+16+16+8+16+8+8);return Nt.box(Nt.types.traf,ze,Ze,bt,xt)}static sdtp(Ae){let Le=Ae.samples||[],Ie=Le.length,ze=new Uint8Array(4+Ie);for(let Ze=0;Ze<Ie;Ze++){let xt=Le[Ze].flags;ze[Ze+4]=xt.isLeading<<6|xt.dependsOn<<4|xt.isDependedOn<<2|xt.hasRedundancy}return Nt.box(Nt.types.sdtp,ze)}static trun(Ae,Le){let Ie=Ae.samples||[],ze=Ie.length,Ze=12+16*ze,xt=new Uint8Array(Ze);Le+=8+Ze,xt.set([0,0,15,1,ze>>>24&255,ze>>>16&255,ze>>>8&255,ze&255,Le>>>24&255,Le>>>16&255,Le>>>8&255,Le&255],0);for(let bt=0;bt<ze;bt++){let Yt=Ie[bt].duration,Ht=Ie[bt].size,cn=Ie[bt].flags,dn=Ie[bt].cts;xt.set([Yt>>>24&255,Yt>>>16&255,Yt>>>8&255,Yt&255,Ht>>>24&255,Ht>>>16&255,Ht>>>8&255,Ht&255,cn.isLeading<<2|cn.dependsOn,cn.isDependedOn<<6|cn.hasRedundancy<<4|cn.isNonSync,0,0,dn>>>24&255,dn>>>16&255,dn>>>8&255,dn&255],12+16*bt)}return Nt.box(Nt.types.trun,xt)}static mdat(Ae){return Nt.box(Nt.types.mdat,Ae)}}Nt.init();var wt=Nt;class rn{static getSilentFrame(Ae,Le){if(Ae==="mp4a.40.2"){if(Le===1)return new Uint8Array([0,200,0,128,35,128]);if(Le===2)return new Uint8Array([33,0,73,144,2,25,0,35,128]);if(Le===3)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,142]);if(Le===4)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,128,44,128,8,2,56]);if(Le===5)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,56]);if(Le===6)return new Uint8Array([0,200,0,128,32,132,1,38,64,8,100,0,130,48,4,153,0,33,144,2,0,178,0,32,8,224])}else{if(Le===1)return new Uint8Array([1,64,34,128,163,78,230,128,186,8,0,0,0,28,6,241,193,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Le===2)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94]);if(Le===3)return new Uint8Array([1,64,34,128,163,94,230,128,186,8,0,0,0,0,149,0,6,241,161,10,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,90,94])}return null}}var On=rn;class zn{constructor(Ae,Le,Ie,ze,Ze){this.dts=Ae,this.pts=Le,this.duration=Ie,this.originalDts=ze,this.isSyncPoint=Ze,this.fileposition=null}}class Gn{constructor(){this.beginDts=0,this.endDts=0,this.beginPts=0,this.endPts=0,this.originalBeginDts=0,this.originalEndDts=0,this.syncPoints=[],this.firstSample=null,this.lastSample=null}appendSyncPoint(Ae){Ae.isSyncPoint=!0,this.syncPoints.push(Ae)}}class nr{constructor(){this._list=[]}clear(){this._list=[]}appendArray(Ae){let Le=this._list;Ae.length!==0&&(Le.length>0&&Ae[0].originalDts<Le[Le.length-1].originalDts&&this.clear(),Array.prototype.push.apply(Le,Ae))}getLastSyncPointBeforeDts(Ae){if(this._list.length==0)return null;let Le=this._list,Ie=0,ze=Le.length-1,Ze=0,xt=0,bt=ze;for(Ae<Le[0].dts&&(Ie=0,xt=bt+1);xt<=bt;)if(Ze=xt+Math.floor((bt-xt)/2),Ze===ze||Ae>=Le[Ze].dts&&Ae<Le[Ze+1].dts){Ie=Ze;break}else Le[Ze].dts<Ae?xt=Ze+1:bt=Ze-1;return this._list[Ie]}}class Xn{constructor(Ae){this._type=Ae,this._list=[],this._lastAppendLocation=-1}get type(){return this._type}get length(){return this._list.length}isEmpty(){return this._list.length===0}clear(){this._list=[],this._lastAppendLocation=-1}_searchNearestSegmentBefore(Ae){let Le=this._list;if(Le.length===0)return-2;let Ie=Le.length-1,ze=0,Ze=0,xt=Ie,bt=0;if(Ae<Le[0].originalBeginDts)return bt=-1,bt;for(;Ze<=xt;)if(ze=Ze+Math.floor((xt-Ze)/2),ze===Ie||Ae>Le[ze].lastSample.originalDts&&Ae<Le[ze+1].originalBeginDts){bt=ze;break}else Le[ze].originalBeginDts<Ae?Ze=ze+1:xt=ze-1;return bt}_searchNearestSegmentAfter(Ae){return this._searchNearestSegmentBefore(Ae)+1}append(Ae){let Le=this._list,Ie=Ae,ze=this._lastAppendLocation,Ze=0;ze!==-1&&ze<Le.length&&Ie.originalBeginDts>=Le[ze].lastSample.originalDts&&(ze===Le.length-1||ze<Le.length-1&&Ie.originalBeginDts<Le[ze+1].originalBeginDts)?Ze=ze+1:Le.length>0&&(Ze=this._searchNearestSegmentBefore(Ie.originalBeginDts)+1),this._lastAppendLocation=Ze,this._list.splice(Ze,0,Ie)}getLastSegmentBefore(Ae){let Le=this._searchNearestSegmentBefore(Ae);return Le>=0?this._list[Le]:null}getLastSampleBefore(Ae){let Le=this.getLastSegmentBefore(Ae);return Le!=null?Le.lastSample:null}getLastSyncPointBefore(Ae){let Le=this._searchNearestSegmentBefore(Ae),Ie=this._list[Le].syncPoints;for(;Ie.length===0&&Le>0;)Le--,Ie=this._list[Le].syncPoints;return Ie.length>0?Ie[Ie.length-1]:null}}class $t{constructor(Ae){this.TAG="MP4Remuxer",this._config=Ae,this._isLive=Ae.isLive===!0,this._dtsBase=-1,this._dtsBaseInited=!1,this._audioDtsBase=1/0,this._videoDtsBase=1/0,this._audioNextDts=void 0,this._videoNextDts=void 0,this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList=new Xn("audio"),this._videoSegmentInfoList=new Xn("video"),this._onInitSegment=null,this._onMediaSegment=null,this._forceFirstIDR=!!(oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661)),this._fillSilentAfterSeek=oe.msedge||oe.msie,this._mp3UseMpegAudio=!oe.firefox,this._fillAudioTimestampGap=this._config.fixAudioTimestampGap}destroy(){this._dtsBase=-1,this._dtsBaseInited=!1,this._audioMeta=null,this._videoMeta=null,this._audioSegmentInfoList.clear(),this._audioSegmentInfoList=null,this._videoSegmentInfoList.clear(),this._videoSegmentInfoList=null,this._onInitSegment=null,this._onMediaSegment=null}bindDataSource(Ae){return Ae.onDataAvailable=this.remux.bind(this),Ae.onTrackMetadata=this._onTrackMetadataReceived.bind(this),this}get onInitSegment(){return this._onInitSegment}set onInitSegment(Ae){this._onInitSegment=Ae}get onMediaSegment(){return this._onMediaSegment}set onMediaSegment(Ae){this._onMediaSegment=Ae}insertDiscontinuity(){this._audioNextDts=this._videoNextDts=void 0}seek(Ae){this._audioStashedLastSample=null,this._videoStashedLastSample=null,this._videoSegmentInfoList.clear(),this._audioSegmentInfoList.clear()}remux(Ae,Le){if(!this._onMediaSegment)throw new Me("MP4Remuxer: onMediaSegment callback must be specificed!");this._dtsBaseInited||this._calculateDtsBase(Ae,Le),this._remuxVideo(Le),this._remuxAudio(Ae)}_onTrackMetadataReceived(Ae,Le){let Ie=null,ze="mp4",Ze=Le.codec;if(Ae==="audio")this._audioMeta=Le,Le.codec==="mp3"&&this._mp3UseMpegAudio?(ze="mpeg",Ze="",Ie=new Uint8Array):Ie=wt.generateInitSegment(Le);else if(Ae==="video")this._videoMeta=Le,Ie=wt.generateInitSegment(Le);else return;if(!this._onInitSegment)throw new Me("MP4Remuxer: onInitSegment callback must be specified!");this._onInitSegment(Ae,{type:Ae,data:Ie.buffer,codec:Ze,container:`${Ae}/${ze}`,mediaDuration:Le.duration})}_calculateDtsBase(Ae,Le){this._dtsBaseInited||(Ae.samples&&Ae.samples.length&&(this._audioDtsBase=Ae.samples[0].dts),Le.samples&&Le.samples.length&&(this._videoDtsBase=Le.samples[0].dts),this._dtsBase=Math.min(this._audioDtsBase,this._videoDtsBase),this._dtsBaseInited=!0)}flushStashedSamples(){let Ae=this._videoStashedLastSample,Le=this._audioStashedLastSample,Ie={type:"video",id:1,sequenceNumber:0,samples:[],length:0};Ae!=null&&(Ie.samples.push(Ae),Ie.length=Ae.length);let ze={type:"audio",id:2,sequenceNumber:0,samples:[],length:0};Le!=null&&(ze.samples.push(Le),ze.length=Le.length),this._videoStashedLastSample=null,this._audioStashedLastSample=null,this._remuxVideo(Ie,!0),this._remuxAudio(ze,!0)}_remuxAudio(Ae,Le){if(this._audioMeta==null)return;let Ie=Ae,ze=Ie.samples,Ze,xt=-1,bt=-1,Yt=-1,Ht=this._audioMeta.refSampleDuration,cn=this._audioMeta.codec==="mp3"&&this._mp3UseMpegAudio,dn=this._dtsBaseInited&&this._audioNextDts===void 0,Zn=!1;if(!ze||ze.length===0||ze.length===1&&!Le)return;let Mn=0,er=null,rr=0;cn?(Mn=0,rr=Ie.length):(Mn=8,rr=8+Ie.length);let mr=null;if(ze.length>1&&(mr=ze.pop(),rr-=mr.length),this._audioStashedLastSample!=null){let tr=this._audioStashedLastSample;this._audioStashedLastSample=null,ze.unshift(tr),rr+=tr.length}mr!=null&&(this._audioStashedLastSample=mr);let pn=ze[0].dts-this._dtsBase;if(this._audioNextDts)Ze=pn-this._audioNextDts;else if(this._audioSegmentInfoList.isEmpty())Ze=0,this._fillSilentAfterSeek&&!this._videoSegmentInfoList.isEmpty()&&this._audioMeta.originalCodec!=="mp3"&&(Zn=!0);else{let tr=this._audioSegmentInfoList.getLastSampleBefore(pn);if(tr!=null){let hr=pn-(tr.originalDts+tr.duration);hr<=3&&(hr=0);let vr=tr.dts+tr.duration+hr;Ze=pn-vr}else Ze=0}if(Zn){let tr=pn-Ze,hr=this._videoSegmentInfoList.getLastSegmentBefore(pn);if(hr!=null&&hr.beginDts<tr){let vr=On.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);if(vr){let Bn=hr.beginDts,xr=tr-hr.beginDts;Ce.v(this.TAG,`InsertPrefixSilentAudio: dts: ${Bn}, duration: ${xr}`),ze.unshift({unit:vr,dts:Bn,pts:Bn}),rr+=vr.byteLength}}else Zn=!1}let tn=[];for(let tr=0;tr<ze.length;tr++){let hr=ze[tr],vr=hr.unit,Bn=hr.dts-this._dtsBase,xr=Bn-Ze;xt===-1&&(xt=xr);let Jn=0;tr!==ze.length-1?Jn=ze[tr+1].dts-this._dtsBase-Ze-xr:mr!=null?Jn=mr.dts-this._dtsBase-Ze-xr:tn.length>=1?Jn=tn[tn.length-1].duration:Jn=Math.floor(Ht);let Nr=!1,Xa=null;if(Jn>Ht*1.5&&this._audioMeta.codec!=="mp3"&&this._fillAudioTimestampGap&&!oe.safari){Nr=!0;let $a=Math.abs(Jn-Ht),ai=Math.ceil($a/Ht),Zr=xr+Ht;Ce.w(this.TAG,`Large audio timestamp gap detected, may cause AV sync to drift. Silent frames will be generated to avoid unsync.
+dts: ${xr+Jn} ms, expected: ${xr+Math.round(Ht)} ms, delta: ${Math.round($a)} ms, generate: ${ai} frames`);let ua=On.getSilentFrame(this._audioMeta.originalCodec,this._audioMeta.channelCount);ua==null&&(Ce.w(this.TAG,`Unable to generate silent frame for ${this._audioMeta.originalCodec} with ${this._audioMeta.channelCount} channels, repeat last frame`),ua=vr),Xa=[];for(let sa=0;sa<ai;sa++){let Ja=Math.round(Zr);if(Xa.length>0){let Na=Xa[Xa.length-1];Na.duration=Ja-Na.dts}let Li={dts:Ja,pts:Ja,cts:0,unit:ua,size:ua.byteLength,duration:0,originalDts:Bn,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}};Xa.push(Li),rr+=Li.size,Zr+=Ht}let Da=Xa[Xa.length-1];Da.duration=xr+Jn-Da.dts,Jn=Math.round(Ht)}tn.push({dts:xr,pts:xr,cts:0,unit:hr.unit,size:hr.unit.byteLength,duration:Jn,originalDts:Bn,flags:{isLeading:0,dependsOn:1,isDependedOn:0,hasRedundancy:0}}),Nr&&tn.push.apply(tn,Xa)}cn?er=new Uint8Array(rr):(er=new Uint8Array(rr),er[0]=rr>>>24&255,er[1]=rr>>>16&255,er[2]=rr>>>8&255,er[3]=rr&255,er.set(wt.types.mdat,4));for(let tr=0;tr<tn.length;tr++){let hr=tn[tr].unit;er.set(hr,Mn),Mn+=hr.byteLength}let Tn=tn[tn.length-1];bt=Tn.dts+Tn.duration,this._audioNextDts=bt;let Hn=new Gn;Hn.beginDts=xt,Hn.endDts=bt,Hn.beginPts=xt,Hn.endPts=bt,Hn.originalBeginDts=tn[0].originalDts,Hn.originalEndDts=Tn.originalDts+Tn.duration,Hn.firstSample=new zn(tn[0].dts,tn[0].pts,tn[0].duration,tn[0].originalDts,!1),Hn.lastSample=new zn(Tn.dts,Tn.pts,Tn.duration,Tn.originalDts,!1),this._isLive||this._audioSegmentInfoList.append(Hn),Ie.samples=tn,Ie.sequenceNumber++;let fr=null;cn?fr=new Uint8Array:fr=wt.moof(Ie,xt),Ie.samples=[],Ie.length=0;let br={type:"audio",data:this._mergeBoxes(fr,er).buffer,sampleCount:tn.length,info:Hn};cn&&dn&&(br.timestampOffset=xt),this._onMediaSegment("audio",br)}_remuxVideo(Ae,Le){if(this._videoMeta==null)return;let Ie=Ae,ze=Ie.samples,Ze,xt=-1,bt=-1,Yt=-1,Ht=-1;if(!ze||ze.length===0||ze.length===1&&!Le)return;let cn=8,dn=null,Zn=8+Ae.length,Mn=null;if(ze.length>1&&(Mn=ze.pop(),Zn-=Mn.length),this._videoStashedLastSample!=null){let Tn=this._videoStashedLastSample;this._videoStashedLastSample=null,ze.unshift(Tn),Zn+=Tn.length}Mn!=null&&(this._videoStashedLastSample=Mn);let er=ze[0].dts-this._dtsBase;if(this._videoNextDts)Ze=er-this._videoNextDts;else if(this._videoSegmentInfoList.isEmpty())Ze=0;else{let Tn=this._videoSegmentInfoList.getLastSampleBefore(er);if(Tn!=null){let Hn=er-(Tn.originalDts+Tn.duration);Hn<=3&&(Hn=0);let fr=Tn.dts+Tn.duration+Hn;Ze=er-fr}else Ze=0}let rr=new Gn,mr=[];for(let Tn=0;Tn<ze.length;Tn++){let Hn=ze[Tn],fr=Hn.dts-this._dtsBase,br=Hn.isKeyframe,tr=fr-Ze,hr=Hn.cts,vr=tr+hr;xt===-1&&(xt=tr,Yt=vr);let Bn=0;if(Tn!==ze.length-1?Bn=ze[Tn+1].dts-this._dtsBase-Ze-tr:Mn!=null?Bn=Mn.dts-this._dtsBase-Ze-tr:mr.length>=1?Bn=mr[mr.length-1].duration:Bn=Math.floor(this._videoMeta.refSampleDuration),br){let xr=new zn(tr,vr,Bn,Hn.dts,!0);xr.fileposition=Hn.fileposition,rr.appendSyncPoint(xr)}mr.push({dts:tr,pts:vr,cts:hr,units:Hn.units,size:Hn.length,isKeyframe:br,duration:Bn,originalDts:fr,flags:{isLeading:0,dependsOn:br?2:1,isDependedOn:br?1:0,hasRedundancy:0,isNonSync:br?0:1}})}dn=new Uint8Array(Zn),dn[0]=Zn>>>24&255,dn[1]=Zn>>>16&255,dn[2]=Zn>>>8&255,dn[3]=Zn&255,dn.set(wt.types.mdat,4);for(let Tn=0;Tn<mr.length;Tn++){let Hn=mr[Tn].units;for(;Hn.length;){let br=Hn.shift().data;dn.set(br,cn),cn+=br.byteLength}}let pn=mr[mr.length-1];if(bt=pn.dts+pn.duration,Ht=pn.pts+pn.duration,this._videoNextDts=bt,rr.beginDts=xt,rr.endDts=bt,rr.beginPts=Yt,rr.endPts=Ht,rr.originalBeginDts=mr[0].originalDts,rr.originalEndDts=pn.originalDts+pn.duration,rr.firstSample=new zn(mr[0].dts,mr[0].pts,mr[0].duration,mr[0].originalDts,mr[0].isKeyframe),rr.lastSample=new zn(pn.dts,pn.pts,pn.duration,pn.originalDts,pn.isKeyframe),this._isLive||this._videoSegmentInfoList.append(rr),Ie.samples=mr,Ie.sequenceNumber++,this._forceFirstIDR){let Tn=mr[0].flags;Tn.dependsOn=2,Tn.isNonSync=0}let tn=wt.moof(Ie,xt);Ie.samples=[],Ie.length=0,this._onMediaSegment("video",{type:"video",data:this._mergeBoxes(tn,dn).buffer,sampleCount:mr.length,info:rr})}_mergeBoxes(Ae,Le){let Ie=new Uint8Array(Ae.byteLength+Le.byteLength);return Ie.set(Ae,0),Ie.set(Le,Ae.byteLength),Ie}}var gn=$t,Ln={IO_ERROR:"io_error",DEMUX_ERROR:"demux_error",INIT_SEGMENT:"init_segment",MEDIA_SEGMENT:"media_segment",LOADING_COMPLETE:"loading_complete",RECOVERED_EARLY_EOF:"recovered_early_eof",MEDIA_INFO:"media_info",METADATA_ARRIVED:"metadata_arrived",SCRIPTDATA_ARRIVED:"scriptdata_arrived",STATISTICS_INFO:"statistics_info",RECOMMEND_SEEKPOINT:"recommend_seekpoint"};class Sr{constructor(Ae,Le){this.TAG="TransmuxingController",this._emitter=new(Se()),this._config=Le,Ae.segments||(Ae.segments=[{duration:Ae.duration,filesize:Ae.filesize,url:Ae.url}]),typeof Ae.cors!="boolean"&&(Ae.cors=!0),typeof Ae.withCredentials!="boolean"&&(Ae.withCredentials=!1),this._mediaDataSource=Ae,this._currentSegmentIndex=0;let Ie=0;this._mediaDataSource.segments.forEach(ze=>{ze.timestampBase=Ie,Ie+=ze.duration,ze.cors=Ae.cors,ze.withCredentials=Ae.withCredentials,Le.referrerPolicy&&(ze.referrerPolicy=Le.referrerPolicy)}),!isNaN(Ie)&&this._mediaDataSource.duration!==Ie&&(this._mediaDataSource.duration=Ie),this._mediaInfo=null,this._demuxer=null,this._remuxer=null,this._ioctl=null,this._pendingSeekTime=null,this._pendingResolveSeekPoint=null,this._statisticsReporter=null}destroy(){this._mediaInfo=null,this._mediaDataSource=null,this._statisticsReporter&&this._disableStatisticsReporter(),this._ioctl&&(this._ioctl.destroy(),this._ioctl=null),this._demuxer&&(this._demuxer.destroy(),this._demuxer=null),this._remuxer&&(this._remuxer.destroy(),this._remuxer=null),this._emitter.removeAllListeners(),this._emitter=null}on(Ae,Le){this._emitter.addListener(Ae,Le)}off(Ae,Le){this._emitter.removeListener(Ae,Le)}start(){this._loadSegment(0),this._enableStatisticsReporter()}_loadSegment(Ae,Le){this._currentSegmentIndex=Ae;let Ie=this._mediaDataSource.segments[Ae],ze=this._ioctl=new qe(Ie,this._config,Ae);ze.onError=this._onIOException.bind(this),ze.onSeeked=this._onIOSeeked.bind(this),ze.onComplete=this._onIOComplete.bind(this),ze.onRedirect=this._onIORedirect.bind(this),ze.onRecoveredEarlyEof=this._onIORecoveredEarlyEof.bind(this),Le?this._demuxer.bindDataSource(this._ioctl):ze.onDataArrival=this._onInitChunkArrival.bind(this),ze.open(Le)}stop(){this._internalAbort(),this._disableStatisticsReporter()}_internalAbort(){this._ioctl&&(this._ioctl.destroy(),this._ioctl=null)}pause(){this._ioctl&&this._ioctl.isWorking()&&(this._ioctl.pause(),this._disableStatisticsReporter())}resume(){this._ioctl&&this._ioctl.isPaused()&&(this._ioctl.resume(),this._enableStatisticsReporter())}seek(Ae){if(this._mediaInfo==null||!this._mediaInfo.isSeekable())return;let Le=this._searchSegmentIndexContains(Ae);if(Le===this._currentSegmentIndex){let Ie=this._mediaInfo.segments[Le];if(Ie==null)this._pendingSeekTime=Ae;else{let ze=Ie.getNearestKeyframe(Ae);this._remuxer.seek(ze.milliseconds),this._ioctl.seek(ze.fileposition),this._pendingResolveSeekPoint=ze.milliseconds}}else{let Ie=this._mediaInfo.segments[Le];if(Ie==null)this._pendingSeekTime=Ae,this._internalAbort(),this._remuxer.seek(),this._remuxer.insertDiscontinuity(),this._loadSegment(Le);else{let ze=Ie.getNearestKeyframe(Ae);this._internalAbort(),this._remuxer.seek(Ae),this._remuxer.insertDiscontinuity(),this._demuxer.resetMediaInfo(),this._demuxer.timestampBase=this._mediaDataSource.segments[Le].timestampBase,this._loadSegment(Le,ze.fileposition),this._pendingResolveSeekPoint=ze.milliseconds,this._reportSegmentMediaInfo(Le)}}this._enableStatisticsReporter()}_searchSegmentIndexContains(Ae){let Le=this._mediaDataSource.segments,Ie=Le.length-1;for(let ze=0;ze<Le.length;ze++)if(Ae<Le[ze].timestampBase){Ie=ze-1;break}return Ie}_onInitChunkArrival(Ae,Le){let Ie=null,ze=0;if(Le>0)this._demuxer.bindDataSource(this._ioctl),this._demuxer.timestampBase=this._mediaDataSource.segments[this._currentSegmentIndex].timestampBase,ze=this._demuxer.parseChunks(Ae,Le);else if((Ie=Qt.probe(Ae)).match){this._demuxer=new Qt(Ie,this._config),this._remuxer||(this._remuxer=new gn(this._config));let Ze=this._mediaDataSource;Ze.duration!=null&&!isNaN(Ze.duration)&&(this._demuxer.overridedDuration=Ze.duration),typeof Ze.hasAudio=="boolean"&&(this._demuxer.overridedHasAudio=Ze.hasAudio),typeof Ze.hasVideo=="boolean"&&(this._demuxer.overridedHasVideo=Ze.hasVideo),this._demuxer.timestampBase=Ze.segments[this._currentSegmentIndex].timestampBase,this._demuxer.onError=this._onDemuxException.bind(this),this._demuxer.onMediaInfo=this._onMediaInfo.bind(this),this._demuxer.onMetaDataArrived=this._onMetaDataArrived.bind(this),this._demuxer.onScriptDataArrived=this._onScriptDataArrived.bind(this),this._remuxer.bindDataSource(this._demuxer.bindDataSource(this._ioctl)),this._remuxer.onInitSegment=this._onRemuxerInitSegmentArrival.bind(this),this._remuxer.onMediaSegment=this._onRemuxerMediaSegmentArrival.bind(this),ze=this._demuxer.parseChunks(Ae,Le)}else Ie=null,Ce.e(this.TAG,"Non-FLV, Unsupported media type!"),Promise.resolve().then(()=>{this._internalAbort()}),this._emitter.emit(Ln.DEMUX_ERROR,Tt.FORMAT_UNSUPPORTED,"Non-FLV, Unsupported media type"),ze=0;return ze}_onMediaInfo(Ae){this._mediaInfo==null&&(this._mediaInfo=Object.assign({},Ae),this._mediaInfo.keyframesIndex=null,this._mediaInfo.segments=[],this._mediaInfo.segmentCount=this._mediaDataSource.segments.length,Object.setPrototypeOf(this._mediaInfo,jt.prototype));let Le=Object.assign({},Ae);Object.setPrototypeOf(Le,jt.prototype),this._mediaInfo.segments[this._currentSegmentIndex]=Le,this._reportSegmentMediaInfo(this._currentSegmentIndex),this._pendingSeekTime!=null&&Promise.resolve().then(()=>{let Ie=this._pendingSeekTime;this._pendingSeekTime=null,this.seek(Ie)})}_onMetaDataArrived(Ae){this._emitter.emit(Ln.METADATA_ARRIVED,Ae)}_onScriptDataArrived(Ae){this._emitter.emit(Ln.SCRIPTDATA_ARRIVED,Ae)}_onIOSeeked(){this._remuxer.insertDiscontinuity()}_onIOComplete(Ae){let Ie=Ae+1;Ie<this._mediaDataSource.segments.length?(this._internalAbort(),this._remuxer.flushStashedSamples(),this._loadSegment(Ie)):(this._remuxer.flushStashedSamples(),this._emitter.emit(Ln.LOADING_COMPLETE),this._disableStatisticsReporter())}_onIORedirect(Ae){let Le=this._ioctl.extraData;this._mediaDataSource.segments[Le].redirectedURL=Ae}_onIORecoveredEarlyEof(){this._emitter.emit(Ln.RECOVERED_EARLY_EOF)}_onIOException(Ae,Le){Ce.e(this.TAG,`IOException: type = ${Ae}, code = ${Le.code}, msg = ${Le.msg}`),this._emitter.emit(Ln.IO_ERROR,Ae,Le),this._disableStatisticsReporter()}_onDemuxException(Ae,Le){Ce.e(this.TAG,`DemuxException: type = ${Ae}, info = ${Le}`),this._emitter.emit(Ln.DEMUX_ERROR,Ae,Le)}_onRemuxerInitSegmentArrival(Ae,Le){this._emitter.emit(Ln.INIT_SEGMENT,Ae,Le)}_onRemuxerMediaSegmentArrival(Ae,Le){if(this._pendingSeekTime==null&&(this._emitter.emit(Ln.MEDIA_SEGMENT,Ae,Le),this._pendingResolveSeekPoint!=null&&Ae==="video")){let Ie=Le.info.syncPoints,ze=this._pendingResolveSeekPoint;this._pendingResolveSeekPoint=null,oe.safari&&Ie.length>0&&Ie[0].originalDts===ze&&(ze=Ie[0].pts),this._emitter.emit(Ln.RECOMMEND_SEEKPOINT,ze)}}_enableStatisticsReporter(){this._statisticsReporter==null&&(this._statisticsReporter=self.setInterval(this._reportStatisticsInfo.bind(this),this._config.statisticsInfoReportInterval))}_disableStatisticsReporter(){this._statisticsReporter&&(self.clearInterval(this._statisticsReporter),this._statisticsReporter=null)}_reportSegmentMediaInfo(Ae){let Le=this._mediaInfo.segments[Ae],Ie=Object.assign({},Le);Ie.duration=this._mediaInfo.duration,Ie.segmentCount=this._mediaInfo.segmentCount,delete Ie.segments,delete Ie.keyframesIndex,this._emitter.emit(Ln.MEDIA_INFO,Ie)}_reportStatisticsInfo(){let Ae={};Ae.url=this._ioctl.currentURL,Ae.hasRedirect=this._ioctl.hasRedirect,Ae.hasRedirect&&(Ae.redirectedURL=this._ioctl.currentRedirectedURL),Ae.speed=this._ioctl.currentSpeed,Ae.loaderType=this._ioctl.loaderType,Ae.currentSegmentIndex=this._currentSegmentIndex,Ae.totalSegmentCount=this._mediaDataSource.segments.length,this._emitter.emit(Ln.STATISTICS_INFO,Ae)}}var Ur=Sr,Gr=function(pt){let Ae="TransmuxingWorker",Le=null,Ie=rr.bind(this);Ve.install(),pt.addEventListener("message",function(mr){switch(mr.data.cmd){case"init":Le=new Ur(mr.data.param[0],mr.data.param[1]),Le.on(Ln.IO_ERROR,Zn.bind(this)),Le.on(Ln.DEMUX_ERROR,Mn.bind(this)),Le.on(Ln.INIT_SEGMENT,ze.bind(this)),Le.on(Ln.MEDIA_SEGMENT,Ze.bind(this)),Le.on(Ln.LOADING_COMPLETE,xt.bind(this)),Le.on(Ln.RECOVERED_EARLY_EOF,bt.bind(this)),Le.on(Ln.MEDIA_INFO,Yt.bind(this)),Le.on(Ln.METADATA_ARRIVED,Ht.bind(this)),Le.on(Ln.SCRIPTDATA_ARRIVED,cn.bind(this)),Le.on(Ln.STATISTICS_INFO,dn.bind(this)),Le.on(Ln.RECOMMEND_SEEKPOINT,er.bind(this));break;case"destroy":Le&&(Le.destroy(),Le=null),pt.postMessage({msg:"destroyed"});break;case"start":Le.start();break;case"stop":Le.stop();break;case"seek":Le.seek(mr.data.param);break;case"pause":Le.pause();break;case"resume":Le.resume();break;case"logging_config":{let pn=mr.data.param;ht.applyConfig(pn),pn.enableCallback===!0?ht.addLogListener(Ie):ht.removeLogListener(Ie);break}}});function ze(mr,pn){let tn={msg:Ln.INIT_SEGMENT,data:{type:mr,data:pn}};pt.postMessage(tn,[pn.data])}function Ze(mr,pn){let tn={msg:Ln.MEDIA_SEGMENT,data:{type:mr,data:pn}};pt.postMessage(tn,[pn.data])}function xt(){let mr={msg:Ln.LOADING_COMPLETE};pt.postMessage(mr)}function bt(){let mr={msg:Ln.RECOVERED_EARLY_EOF};pt.postMessage(mr)}function Yt(mr){let pn={msg:Ln.MEDIA_INFO,data:mr};pt.postMessage(pn)}function Ht(mr){let pn={msg:Ln.METADATA_ARRIVED,data:mr};pt.postMessage(pn)}function cn(mr){let pn={msg:Ln.SCRIPTDATA_ARRIVED,data:mr};pt.postMessage(pn)}function dn(mr){let pn={msg:Ln.STATISTICS_INFO,data:mr};pt.postMessage(pn)}function Zn(mr,pn){pt.postMessage({msg:Ln.IO_ERROR,data:{type:mr,info:pn}})}function Mn(mr,pn){pt.postMessage({msg:Ln.DEMUX_ERROR,data:{type:mr,info:pn}})}function er(mr){pt.postMessage({msg:Ln.RECOMMEND_SEEKPOINT,data:mr})}function rr(mr,pn){pt.postMessage({msg:"logcat_callback",data:{type:mr,logcat:pn}})}};class ma{constructor(Ae,Le){if(this.TAG="Transmuxer",this._emitter=new(Se()),Le.enableWorker&&typeof Worker!="undefined")try{let Ie=Oe(82059);this._worker=Ie(Gr),this._workerDestroying=!1,this._worker.addEventListener("message",this._onWorkerMessage.bind(this)),this._worker.postMessage({cmd:"init",param:[Ae,Le]}),this.e={onLoggingConfigChanged:this._onLoggingConfigChanged.bind(this)},ht.registerListener(this.e.onLoggingConfigChanged),this._worker.postMessage({cmd:"logging_config",param:ht.getConfig()})}catch(Ie){Ce.e(this.TAG,"Error while initialize transmuxing worker, fallback to inline transmuxing"),this._worker=null,this._controller=new Ur(Ae,Le)}else this._controller=new Ur(Ae,Le);if(this._controller){let Ie=this._controller;Ie.on(Ln.IO_ERROR,this._onIOError.bind(this)),Ie.on(Ln.DEMUX_ERROR,this._onDemuxError.bind(this)),Ie.on(Ln.INIT_SEGMENT,this._onInitSegment.bind(this)),Ie.on(Ln.MEDIA_SEGMENT,this._onMediaSegment.bind(this)),Ie.on(Ln.LOADING_COMPLETE,this._onLoadingComplete.bind(this)),Ie.on(Ln.RECOVERED_EARLY_EOF,this._onRecoveredEarlyEof.bind(this)),Ie.on(Ln.MEDIA_INFO,this._onMediaInfo.bind(this)),Ie.on(Ln.METADATA_ARRIVED,this._onMetaDataArrived.bind(this)),Ie.on(Ln.SCRIPTDATA_ARRIVED,this._onScriptDataArrived.bind(this)),Ie.on(Ln.STATISTICS_INFO,this._onStatisticsInfo.bind(this)),Ie.on(Ln.RECOMMEND_SEEKPOINT,this._onRecommendSeekpoint.bind(this))}}destroy(){this._worker?this._workerDestroying||(this._workerDestroying=!0,this._worker.postMessage({cmd:"destroy"}),ht.removeListener(this.e.onLoggingConfigChanged),this.e=null):(this._controller.destroy(),this._controller=null),this._emitter.removeAllListeners(),this._emitter=null}on(Ae,Le){this._emitter.addListener(Ae,Le)}off(Ae,Le){this._emitter.removeListener(Ae,Le)}hasWorker(){return this._worker!=null}open(){this._worker?this._worker.postMessage({cmd:"start"}):this._controller.start()}close(){this._worker?this._worker.postMessage({cmd:"stop"}):this._controller.stop()}seek(Ae){this._worker?this._worker.postMessage({cmd:"seek",param:Ae}):this._controller.seek(Ae)}pause(){this._worker?this._worker.postMessage({cmd:"pause"}):this._controller.pause()}resume(){this._worker?this._worker.postMessage({cmd:"resume"}):this._controller.resume()}_onInitSegment(Ae,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.INIT_SEGMENT,Ae,Le)})}_onMediaSegment(Ae,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.MEDIA_SEGMENT,Ae,Le)})}_onLoadingComplete(){Promise.resolve().then(()=>{this._emitter.emit(Ln.LOADING_COMPLETE)})}_onRecoveredEarlyEof(){Promise.resolve().then(()=>{this._emitter.emit(Ln.RECOVERED_EARLY_EOF)})}_onMediaInfo(Ae){Promise.resolve().then(()=>{this._emitter.emit(Ln.MEDIA_INFO,Ae)})}_onMetaDataArrived(Ae){Promise.resolve().then(()=>{this._emitter.emit(Ln.METADATA_ARRIVED,Ae)})}_onScriptDataArrived(Ae){Promise.resolve().then(()=>{this._emitter.emit(Ln.SCRIPTDATA_ARRIVED,Ae)})}_onStatisticsInfo(Ae){Promise.resolve().then(()=>{this._emitter.emit(Ln.STATISTICS_INFO,Ae)})}_onIOError(Ae,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.IO_ERROR,Ae,Le)})}_onDemuxError(Ae,Le){Promise.resolve().then(()=>{this._emitter.emit(Ln.DEMUX_ERROR,Ae,Le)})}_onRecommendSeekpoint(Ae){Promise.resolve().then(()=>{this._emitter.emit(Ln.RECOMMEND_SEEKPOINT,Ae)})}_onLoggingConfigChanged(Ae){this._worker&&this._worker.postMessage({cmd:"logging_config",param:Ae})}_onWorkerMessage(Ae){let Le=Ae.data,Ie=Le.data;if(Le.msg==="destroyed"||this._workerDestroying){this._workerDestroying=!1,this._worker.terminate(),this._worker=null;return}switch(Le.msg){case Ln.INIT_SEGMENT:case Ln.MEDIA_SEGMENT:this._emitter.emit(Le.msg,Ie.type,Ie.data);break;case Ln.LOADING_COMPLETE:case Ln.RECOVERED_EARLY_EOF:this._emitter.emit(Le.msg);break;case Ln.MEDIA_INFO:Object.setPrototypeOf(Ie,jt.prototype),this._emitter.emit(Le.msg,Ie);break;case Ln.METADATA_ARRIVED:case Ln.SCRIPTDATA_ARRIVED:case Ln.STATISTICS_INFO:this._emitter.emit(Le.msg,Ie);break;case Ln.IO_ERROR:case Ln.DEMUX_ERROR:this._emitter.emit(Le.msg,Ie.type,Ie.info);break;case Ln.RECOMMEND_SEEKPOINT:this._emitter.emit(Le.msg,Ie);break;case"logcat_callback":Ce.emitter.emit("log",Ie.type,Ie.logcat);break;default:break}}}var Oa=ma,Ma={ERROR:"error",SOURCE_OPEN:"source_open",UPDATE_END:"update_end",BUFFER_FULL:"buffer_full"};class li{constructor(Ae){this.TAG="MSEController",this._config=Ae,this._emitter=new(Se()),this._config.isLive&&this._config.autoCleanupSourceBuffer==null&&(this._config.autoCleanupSourceBuffer=!0),this.e={onSourceOpen:this._onSourceOpen.bind(this),onSourceEnded:this._onSourceEnded.bind(this),onSourceClose:this._onSourceClose.bind(this),onSourceBufferError:this._onSourceBufferError.bind(this),onSourceBufferUpdateEnd:this._onSourceBufferUpdateEnd.bind(this)},this._mediaSource=null,this._mediaSourceObjectURL=null,this._mediaElement=null,this._isBufferFull=!1,this._hasPendingEos=!1,this._requireSetMediaDuration=!1,this._pendingMediaDuration=0,this._pendingSourceBufferInit=[],this._mimeTypes={video:null,audio:null},this._sourceBuffers={video:null,audio:null},this._lastInitSegments={video:null,audio:null},this._pendingSegments={video:[],audio:[]},this._pendingRemoveRanges={video:[],audio:[]},this._idrList=new nr}destroy(){(this._mediaElement||this._mediaSource)&&this.detachMediaElement(),this.e=null,this._emitter.removeAllListeners(),this._emitter=null}on(Ae,Le){this._emitter.addListener(Ae,Le)}off(Ae,Le){this._emitter.removeListener(Ae,Le)}attachMediaElement(Ae){if(this._mediaSource)throw new Me("MediaSource has been attached to an HTMLMediaElement!");let Le=this._mediaSource=new window.MediaSource;Le.addEventListener("sourceopen",this.e.onSourceOpen),Le.addEventListener("sourceended",this.e.onSourceEnded),Le.addEventListener("sourceclose",this.e.onSourceClose),this._mediaElement=Ae,this._mediaSourceObjectURL=window.URL.createObjectURL(this._mediaSource),Ae.src=this._mediaSourceObjectURL}detachMediaElement(){if(this._mediaSource){let Ae=this._mediaSource;for(let Le in this._sourceBuffers){let Ie=this._pendingSegments[Le];Ie.splice(0,Ie.length),this._pendingSegments[Le]=null,this._pendingRemoveRanges[Le]=null,this._lastInitSegments[Le]=null;let ze=this._sourceBuffers[Le];if(ze){if(Ae.readyState!=="closed"){try{Ae.removeSourceBuffer(ze)}catch(Ze){Ce.e(this.TAG,Ze.message)}ze.removeEventListener("error",this.e.onSourceBufferError),ze.removeEventListener("updateend",this.e.onSourceBufferUpdateEnd)}this._mimeTypes[Le]=null,this._sourceBuffers[Le]=null}}if(Ae.readyState==="open")try{Ae.endOfStream()}catch(Le){Ce.e(this.TAG,Le.message)}Ae.removeEventListener("sourceopen",this.e.onSourceOpen),Ae.removeEventListener("sourceended",this.e.onSourceEnded),Ae.removeEventListener("sourceclose",this.e.onSourceClose),this._pendingSourceBufferInit=[],this._isBufferFull=!1,this._idrList.clear(),this._mediaSource=null}this._mediaElement&&(this._mediaElement.src="",this._mediaElement.removeAttribute("src"),this._mediaElement=null),this._mediaSourceObjectURL&&(window.URL.revokeObjectURL(this._mediaSourceObjectURL),this._mediaSourceObjectURL=null)}appendInitSegment(Ae,Le){if(!this._mediaSource||this._mediaSource.readyState!=="open"){this._pendingSourceBufferInit.push(Ae),this._pendingSegments[Ae.type].push(Ae);return}let Ie=Ae,ze=`${Ie.container}`;Ie.codec&&Ie.codec.length>0&&(ze+=`;codecs=${Ie.codec}`);let Ze=!1;if(Ce.v(this.TAG,"Received Initialization Segment, mimeType: "+ze),this._lastInitSegments[Ie.type]=Ie,ze!==this._mimeTypes[Ie.type]){if(this._mimeTypes[Ie.type])Ce.v(this.TAG,`Notice: ${Ie.type} mimeType changed, origin: ${this._mimeTypes[Ie.type]}, target: ${ze}`);else{Ze=!0;try{let xt=this._sourceBuffers[Ie.type]=this._mediaSource.addSourceBuffer(ze);xt.addEventListener("error",this.e.onSourceBufferError),xt.addEventListener("updateend",this.e.onSourceBufferUpdateEnd)}catch(xt){Ce.e(this.TAG,xt.message),this._emitter.emit(Ma.ERROR,{code:xt.code,msg:xt.message});return}}this._mimeTypes[Ie.type]=ze}Le||this._pendingSegments[Ie.type].push(Ie),Ze||this._sourceBuffers[Ie.type]&&!this._sourceBuffers[Ie.type].updating&&this._doAppendSegments(),oe.safari&&Ie.container==="audio/mpeg"&&Ie.mediaDuration>0&&(this._requireSetMediaDuration=!0,this._pendingMediaDuration=Ie.mediaDuration/1e3,this._updateMediaSourceDuration())}appendMediaSegment(Ae){let Le=Ae;this._pendingSegments[Le.type].push(Le),this._config.autoCleanupSourceBuffer&&this._needCleanupSourceBuffer()&&this._doCleanupSourceBuffer();let Ie=this._sourceBuffers[Le.type];Ie&&!Ie.updating&&!this._hasPendingRemoveRanges()&&this._doAppendSegments()}seek(Ae){for(let Le in this._sourceBuffers){if(!this._sourceBuffers[Le])continue;let Ie=this._sourceBuffers[Le];if(this._mediaSource.readyState==="open")try{Ie.abort()}catch(Ze){Ce.e(this.TAG,Ze.message)}this._idrList.clear();let ze=this._pendingSegments[Le];if(ze.splice(0,ze.length),this._mediaSource.readyState!=="closed"){for(let Ze=0;Ze<Ie.buffered.length;Ze++){let xt=Ie.buffered.start(Ze),bt=Ie.buffered.end(Ze);this._pendingRemoveRanges[Le].push({start:xt,end:bt})}if(Ie.updating||this._doRemoveRanges(),oe.safari){let Ze=this._lastInitSegments[Le];Ze&&(this._pendingSegments[Le].push(Ze),Ie.updating||this._doAppendSegments())}}}}endOfStream(){let Ae=this._mediaSource,Le=this._sourceBuffers;if(!Ae||Ae.readyState!=="open"){Ae&&Ae.readyState==="closed"&&this._hasPendingSegments()&&(this._hasPendingEos=!0);return}Le.video&&Le.video.updating||Le.audio&&Le.audio.updating?this._hasPendingEos=!0:(this._hasPendingEos=!1,Ae.endOfStream())}getNearestKeyframe(Ae){return this._idrList.getLastSyncPointBeforeDts(Ae)}_needCleanupSourceBuffer(){if(!this._config.autoCleanupSourceBuffer)return!1;let Ae=this._mediaElement.currentTime;for(let Le in this._sourceBuffers){let Ie=this._sourceBuffers[Le];if(Ie){let ze=Ie.buffered;if(ze.length>=1&&Ae-ze.start(0)>=this._config.autoCleanupMaxBackwardDuration)return!0}}return!1}_doCleanupSourceBuffer(){let Ae=this._mediaElement.currentTime;for(let Le in this._sourceBuffers){let Ie=this._sourceBuffers[Le];if(Ie){let ze=Ie.buffered,Ze=!1;for(let xt=0;xt<ze.length;xt++){let bt=ze.start(xt),Yt=ze.end(xt);if(bt<=Ae&&Ae<Yt+3){if(Ae-bt>=this._config.autoCleanupMaxBackwardDuration){Ze=!0;let Ht=Ae-this._config.autoCleanupMinBackwardDuration;this._pendingRemoveRanges[Le].push({start:bt,end:Ht})}}else Yt<Ae&&(Ze=!0,this._pendingRemoveRanges[Le].push({start:bt,end:Yt}))}Ze&&!Ie.updating&&this._doRemoveRanges()}}}_updateMediaSourceDuration(){let Ae=this._sourceBuffers;if(this._mediaElement.readyState===0||this._mediaSource.readyState!=="open"||Ae.video&&Ae.video.updating||Ae.audio&&Ae.audio.updating)return;let Le=this._mediaSource.duration,Ie=this._pendingMediaDuration;Ie>0&&(isNaN(Le)||Ie>Le)&&(Ce.v(this.TAG,`Update MediaSource duration from ${Le} to ${Ie}`),this._mediaSource.duration=Ie),this._requireSetMediaDuration=!1,this._pendingMediaDuration=0}_doRemoveRanges(){for(let Ae in this._pendingRemoveRanges){if(!this._sourceBuffers[Ae]||this._sourceBuffers[Ae].updating)continue;let Le=this._sourceBuffers[Ae],Ie=this._pendingRemoveRanges[Ae];for(;Ie.length&&!Le.updating;){let ze=Ie.shift();Le.remove(ze.start,ze.end)}}}_doAppendSegments(){let Ae=this._pendingSegments;for(let Le in Ae)if(!(!this._sourceBuffers[Le]||this._sourceBuffers[Le].updating)&&Ae[Le].length>0){let Ie=Ae[Le].shift();if(Ie.timestampOffset){let ze=this._sourceBuffers[Le].timestampOffset,Ze=Ie.timestampOffset/1e3;Math.abs(ze-Ze)>.1&&(Ce.v(this.TAG,`Update MPEG audio timestampOffset from ${ze} to ${Ze}`),this._sourceBuffers[Le].timestampOffset=Ze),delete Ie.timestampOffset}if(!Ie.data||Ie.data.byteLength===0)continue;try{this._sourceBuffers[Le].appendBuffer(Ie.data),this._isBufferFull=!1,Le==="video"&&Ie.hasOwnProperty("info")&&this._idrList.appendArray(Ie.info.syncPoints)}catch(ze){this._pendingSegments[Le].unshift(Ie),ze.code===22?(this._isBufferFull||this._emitter.emit(Ma.BUFFER_FULL),this._isBufferFull=!0):(Ce.e(this.TAG,ze.message),this._emitter.emit(Ma.ERROR,{code:ze.code,msg:ze.message}))}}}_onSourceOpen(){if(Ce.v(this.TAG,"MediaSource onSourceOpen"),this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._pendingSourceBufferInit.length>0){let Ae=this._pendingSourceBufferInit;for(;Ae.length;){let Le=Ae.shift();this.appendInitSegment(Le,!0)}}this._hasPendingSegments()&&this._doAppendSegments(),this._emitter.emit(Ma.SOURCE_OPEN)}_onSourceEnded(){Ce.v(this.TAG,"MediaSource onSourceEnded")}_onSourceClose(){Ce.v(this.TAG,"MediaSource onSourceClose"),this._mediaSource&&this.e!=null&&(this._mediaSource.removeEventListener("sourceopen",this.e.onSourceOpen),this._mediaSource.removeEventListener("sourceended",this.e.onSourceEnded),this._mediaSource.removeEventListener("sourceclose",this.e.onSourceClose))}_hasPendingSegments(){let Ae=this._pendingSegments;return Ae.video.length>0||Ae.audio.length>0}_hasPendingRemoveRanges(){let Ae=this._pendingRemoveRanges;return Ae.video.length>0||Ae.audio.length>0}_onSourceBufferUpdateEnd(){this._requireSetMediaDuration?this._updateMediaSourceDuration():this._hasPendingRemoveRanges()?this._doRemoveRanges():this._hasPendingSegments()?this._doAppendSegments():this._hasPendingEos&&this.endOfStream(),this._emitter.emit(Ma.UPDATE_END)}_onSourceBufferError(Ae){Ce.e(this.TAG,`SourceBuffer Error: ${Ae}`)}}var di=li;const Hr={NETWORK_ERROR:"NetworkError",MEDIA_ERROR:"MediaError",OTHER_ERROR:"OtherError"},Ta={NETWORK_EXCEPTION:de.EXCEPTION,NETWORK_STATUS_CODE_INVALID:de.HTTP_STATUS_CODE_INVALID,NETWORK_TIMEOUT:de.CONNECTING_TIMEOUT,NETWORK_UNRECOVERABLE_EARLY_EOF:de.UNRECOVERABLE_EARLY_EOF,MEDIA_MSE_ERROR:"MediaMSEError",MEDIA_FORMAT_ERROR:Tt.FORMAT_ERROR,MEDIA_FORMAT_UNSUPPORTED:Tt.FORMAT_UNSUPPORTED,MEDIA_CODEC_UNSUPPORTED:Tt.CODEC_UNSUPPORTED};class Ha{constructor(Ae,Le){if(this.TAG="FlvPlayer",this._type="FlvPlayer",this._emitter=new(Se()),this._config=at(),typeof Le=="object"&&Object.assign(this._config,Le),Ae.type.toLowerCase()!=="flv")throw new pe("FlvPlayer requires an flv MediaDataSource input!");Ae.isLive===!0&&(this._config.isLive=!0),this.e={onvLoadedMetadata:this._onvLoadedMetadata.bind(this),onvSeeking:this._onvSeeking.bind(this),onvCanPlay:this._onvCanPlay.bind(this),onvStalled:this._onvStalled.bind(this),onvProgress:this._onvProgress.bind(this)},self.performance&&self.performance.now?this._now=self.performance.now.bind(self.performance):this._now=Date.now,this._pendingSeekTime=null,this._requestSetTime=!1,this._seekpointRecord=null,this._progressChecker=null,this._mediaDataSource=Ae,this._mediaElement=null,this._msectl=null,this._transmuxer=null,this._mseSourceOpened=!1,this._hasPendingLoad=!1,this._receivedCanPlay=!1,this._mediaInfo=null,this._statisticsInfo=null;let Ie=oe.chrome&&(oe.version.major<50||oe.version.major===50&&oe.version.build<2661);this._alwaysSeekKeyframe=!!(Ie||oe.msedge||oe.msie),this._alwaysSeekKeyframe&&(this._config.accurateSeek=!1)}destroy(){this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._transmuxer&&this.unload(),this._mediaElement&&this.detachMediaElement(),this.e=null,this._mediaDataSource=null,this._emitter.removeAllListeners(),this._emitter=null}on(Ae,Le){Ae===At.MEDIA_INFO?this._mediaInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(At.MEDIA_INFO,this.mediaInfo)}):Ae===At.STATISTICS_INFO&&this._statisticsInfo!=null&&Promise.resolve().then(()=>{this._emitter.emit(At.STATISTICS_INFO,this.statisticsInfo)}),this._emitter.addListener(Ae,Le)}off(Ae,Le){this._emitter.removeListener(Ae,Le)}attachMediaElement(Ae){if(this._mediaElement=Ae,Ae.addEventListener("loadedmetadata",this.e.onvLoadedMetadata),Ae.addEventListener("seeking",this.e.onvSeeking),Ae.addEventListener("canplay",this.e.onvCanPlay),Ae.addEventListener("stalled",this.e.onvStalled),Ae.addEventListener("progress",this.e.onvProgress),this._msectl=new di(this._config),this._msectl.on(Ma.UPDATE_END,this._onmseUpdateEnd.bind(this)),this._msectl.on(Ma.BUFFER_FULL,this._onmseBufferFull.bind(this)),this._msectl.on(Ma.SOURCE_OPEN,()=>{this._mseSourceOpened=!0,this._hasPendingLoad&&(this._hasPendingLoad=!1,this.load())}),this._msectl.on(Ma.ERROR,Le=>{this._emitter.emit(At.ERROR,Hr.MEDIA_ERROR,Ta.MEDIA_MSE_ERROR,Le)}),this._msectl.attachMediaElement(Ae),this._pendingSeekTime!=null)try{Ae.currentTime=this._pendingSeekTime,this._pendingSeekTime=null}catch(Le){}}detachMediaElement(){this._mediaElement&&(this._msectl.detachMediaElement(),this._mediaElement.removeEventListener("loadedmetadata",this.e.onvLoadedMetadata),this._mediaElement.removeEventListener("seeking",this.e.onvSeeking),this._mediaElement.removeEventListener("canplay",this.e.onvCanPlay),this._mediaElement.removeEventListener("stalled",this.e.onvStalled),this._mediaElement.removeEventListener("progress",this.e.onvProgress),this._mediaElement=null),this._msectl&&(this._msectl.destroy(),this._msectl=null)}load(){if(!this._mediaElement)throw new Me("HTMLMediaElement must be attached before load()!");if(this._transmuxer)throw new Me("FlvPlayer.load() has been called, please call unload() first!");if(!this._hasPendingLoad){if(this._config.deferLoadAfterSourceOpen&&this._mseSourceOpened===!1){this._hasPendingLoad=!0;return}this._mediaElement.readyState>0&&(this._requestSetTime=!0,this._mediaElement.currentTime=0),this._transmuxer=new Oa(this._mediaDataSource,this._config),this._transmuxer.on(Ln.INIT_SEGMENT,(Ae,Le)=>{this._msectl.appendInitSegment(Le)}),this._transmuxer.on(Ln.MEDIA_SEGMENT,(Ae,Le)=>{if(this._msectl.appendMediaSegment(Le),this._config.lazyLoad&&!this._config.isLive){let Ie=this._mediaElement.currentTime;Le.info.endDts>=(Ie+this._config.lazyLoadMaxDuration)*1e3&&this._progressChecker==null&&(Ce.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}}),this._transmuxer.on(Ln.LOADING_COMPLETE,()=>{this._msectl.endOfStream(),this._emitter.emit(At.LOADING_COMPLETE)}),this._transmuxer.on(Ln.RECOVERED_EARLY_EOF,()=>{this._emitter.emit(At.RECOVERED_EARLY_EOF)}),this._transmuxer.on(Ln.IO_ERROR,(Ae,Le)=>{this._emitter.emit(At.ERROR,Hr.NETWORK_ERROR,Ae,Le)}),this._transmuxer.on(Ln.DEMUX_ERROR,(Ae,Le)=>{this._emitter.emit(At.ERROR,Hr.MEDIA_ERROR,Ae,{code:-1,msg:Le})}),this._transmuxer.on(Ln.MEDIA_INFO,Ae=>{this._mediaInfo=Ae,this._emitter.emit(At.MEDIA_INFO,Object.assign({},Ae))}),this._transmuxer.on(Ln.METADATA_ARRIVED,Ae=>{this._emitter.emit(At.METADATA_ARRIVED,Ae)}),this._transmuxer.on(Ln.SCRIPTDATA_ARRIVED,Ae=>{this._emitter.emit(At.SCRIPTDATA_ARRIVED,Ae)}),this._transmuxer.on(Ln.STATISTICS_INFO,Ae=>{this._statisticsInfo=this._fillStatisticsInfo(Ae),this._emitter.emit(At.STATISTICS_INFO,Object.assign({},this._statisticsInfo))}),this._transmuxer.on(Ln.RECOMMEND_SEEKPOINT,Ae=>{this._mediaElement&&!this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=Ae/1e3)}),this._transmuxer.open()}}unload(){this._mediaElement&&this._mediaElement.pause(),this._msectl&&this._msectl.seek(0),this._transmuxer&&(this._transmuxer.close(),this._transmuxer.destroy(),this._transmuxer=null)}play(){return this._mediaElement.play()}pause(){this._mediaElement.pause()}get type(){return this._type}get buffered(){return this._mediaElement.buffered}get duration(){return this._mediaElement.duration}get volume(){return this._mediaElement.volume}set volume(Ae){this._mediaElement.volume=Ae}get muted(){return this._mediaElement.muted}set muted(Ae){this._mediaElement.muted=Ae}get currentTime(){return this._mediaElement?this._mediaElement.currentTime:0}set currentTime(Ae){this._mediaElement?this._internalSeek(Ae):this._pendingSeekTime=Ae}get mediaInfo(){return Object.assign({},this._mediaInfo)}get statisticsInfo(){return this._statisticsInfo==null&&(this._statisticsInfo={}),this._statisticsInfo=this._fillStatisticsInfo(this._statisticsInfo),Object.assign({},this._statisticsInfo)}_fillStatisticsInfo(Ae){if(Ae.playerType=this._type,!(this._mediaElement instanceof HTMLVideoElement))return Ae;let Le=!0,Ie=0,ze=0;if(this._mediaElement.getVideoPlaybackQuality){let Ze=this._mediaElement.getVideoPlaybackQuality();Ie=Ze.totalVideoFrames,ze=Ze.droppedVideoFrames}else this._mediaElement.webkitDecodedFrameCount!=null?(Ie=this._mediaElement.webkitDecodedFrameCount,ze=this._mediaElement.webkitDroppedFrameCount):Le=!1;return Le&&(Ae.decodedFrames=Ie,Ae.droppedFrames=ze),Ae}_onmseUpdateEnd(){if(!this._config.lazyLoad||this._config.isLive)return;let Ae=this._mediaElement.buffered,Le=this._mediaElement.currentTime,Ie=0,ze=0;for(let Ze=0;Ze<Ae.length;Ze++){let xt=Ae.start(Ze),bt=Ae.end(Ze);if(xt<=Le&&Le<bt){Ie=xt,ze=bt;break}}ze>=Le+this._config.lazyLoadMaxDuration&&this._progressChecker==null&&(Ce.v(this.TAG,"Maximum buffering duration exceeded, suspend transmuxing task"),this._suspendTransmuxer())}_onmseBufferFull(){Ce.v(this.TAG,"MSE SourceBuffer is full, suspend transmuxing task"),this._progressChecker==null&&this._suspendTransmuxer()}_suspendTransmuxer(){this._transmuxer&&(this._transmuxer.pause(),this._progressChecker==null&&(this._progressChecker=window.setInterval(this._checkProgressAndResume.bind(this),1e3)))}_checkProgressAndResume(){let Ae=this._mediaElement.currentTime,Le=this._mediaElement.buffered,Ie=!1;for(let ze=0;ze<Le.length;ze++){let Ze=Le.start(ze),xt=Le.end(ze);if(Ae>=Ze&&Ae<xt){Ae>=xt-this._config.lazyLoadRecoverDuration&&(Ie=!0);break}}Ie&&(window.clearInterval(this._progressChecker),this._progressChecker=null,Ie&&(Ce.v(this.TAG,"Continue loading from paused position"),this._transmuxer.resume()))}_isTimepointBuffered(Ae){let Le=this._mediaElement.buffered;for(let Ie=0;Ie<Le.length;Ie++){let ze=Le.start(Ie),Ze=Le.end(Ie);if(Ae>=ze&&Ae<Ze)return!0}return!1}_internalSeek(Ae){let Le=this._isTimepointBuffered(Ae),Ie=!1,ze=0;if(Ae<1&&this._mediaElement.buffered.length>0){let Ze=this._mediaElement.buffered.start(0);(Ze<1&&Ae<Ze||oe.safari)&&(Ie=!0,ze=oe.safari?.1:Ze)}if(Ie)this._requestSetTime=!0,this._mediaElement.currentTime=ze;else if(Le){if(!this._alwaysSeekKeyframe)this._requestSetTime=!0,this._mediaElement.currentTime=Ae;else{let Ze=this._msectl.getNearestKeyframe(Math.floor(Ae*1e3));this._requestSetTime=!0,Ze!=null?this._mediaElement.currentTime=Ze.dts/1e3:this._mediaElement.currentTime=Ae}this._progressChecker!=null&&this._checkProgressAndResume()}else this._progressChecker!=null&&(window.clearInterval(this._progressChecker),this._progressChecker=null),this._msectl.seek(Ae),this._transmuxer.seek(Math.floor(Ae*1e3)),this._config.accurateSeek&&(this._requestSetTime=!0,this._mediaElement.currentTime=Ae)}_checkAndApplyUnbufferedSeekpoint(){if(this._seekpointRecord)if(this._seekpointRecord.recordTime<=this._now()-100){let 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ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.floor(this.get(Ie,ze)));return this},pt.floor=function(Ie){return new Ae(Ie).floor()},pt.prototype.fround=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.fround(this.get(Ie,ze)));return this},pt.fround=function(Ie){return new Ae(Ie).fround()},pt.prototype.log=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.log(this.get(Ie,ze)));return this},pt.log=function(Ie){return new Ae(Ie).log()},pt.prototype.log1p=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.log1p(this.get(Ie,ze)));return this},pt.log1p=function(Ie){return new Ae(Ie).log1p()},pt.prototype.log10=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.log10(this.get(Ie,ze)));return this},pt.log10=function(Ie){return new Ae(Ie).log10()},pt.prototype.log2=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.log2(this.get(Ie,ze)));return this},pt.log2=function(Ie){return new Ae(Ie).log2()},pt.prototype.round=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.round(this.get(Ie,ze)));return this},pt.round=function(Ie){return new Ae(Ie).round()},pt.prototype.sign=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.sign(this.get(Ie,ze)));return this},pt.sign=function(Ie){return new Ae(Ie).sign()},pt.prototype.sin=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.sin(this.get(Ie,ze)));return this},pt.sin=function(Ie){return new Ae(Ie).sin()},pt.prototype.sinh=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.sinh(this.get(Ie,ze)));return this},pt.sinh=function(Ie){return new Ae(Ie).sinh()},pt.prototype.sqrt=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.sqrt(this.get(Ie,ze)));return this},pt.sqrt=function(Ie){return new Ae(Ie).sqrt()},pt.prototype.tan=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.tan(this.get(Ie,ze)));return this},pt.tan=function(Ie){return new Ae(Ie).tan()},pt.prototype.tanh=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.tanh(this.get(Ie,ze)));return this},pt.tanh=function(Ie){return new Ae(Ie).tanh()},pt.prototype.trunc=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.trunc(this.get(Ie,ze)));return this},pt.trunc=function(Ie){return new Ae(Ie).trunc()},pt.pow=function(Ie,ze){return new Ae(Ie).pow(ze)},pt.prototype.pow=function(Ie){return typeof Ie=="number"?this.powS(Ie):this.powM(Ie)},pt.prototype.powS=function(Ie){for(let ze=0;ze<this.rows;ze++)for(let Ze=0;Ze<this.columns;Ze++)this.set(ze,Ze,Se(this.get(ze,Ze),Ie));return this},pt.prototype.powM=function(Ie){if(Ie=Ae.checkMatrix(Ie),this.rows!==Ie.rows||this.columns!==Ie.columns)throw new RangeError("Matrices dimensions must be equal");for(let ze=0;ze<this.rows;ze++)for(let Ze=0;Ze<this.columns;Ze++)this.set(ze,Ze,Se(this.get(ze,Ze),Ie.get(ze,Ze)));return this}}function De(pt,Ae,Le){let Ie=Le?pt.rows:pt.rows-1;if(Ae<0||Ae>Ie)throw new RangeError("Row index out of range")}function Re(pt,Ae,Le){let Ie=Le?pt.columns:pt.columns-1;if(Ae<0||Ae>Ie)throw new RangeError("Column index out of range")}function Be(pt,Ae){if(Ae.to1DArray&&(Ae=Ae.to1DArray()),Ae.length!==pt.columns)throw new RangeError("vector size must be the same as the number of columns");return Ae}function Ue(pt,Ae){if(Ae.to1DArray&&(Ae=Ae.to1DArray()),Ae.length!==pt.rows)throw new RangeError("vector size must be the same as the number of rows");return Ae}function Ge(pt,Ae){if(!ee.isAnyArray(Ae))throw new TypeError("row indices must be an array");for(let Le=0;Le<Ae.length;Le++)if(Ae[Le]<0||Ae[Le]>=pt.rows)throw new RangeError("row indices are out of range")}function Xe(pt,Ae){if(!ee.isAnyArray(Ae))throw new TypeError("column indices must be an array");for(let Le=0;Le<Ae.length;Le++)if(Ae[Le]<0||Ae[Le]>=pt.columns)throw new RangeError("column indices are out of range")}function Ye(pt,Ae,Le,Ie,ze){if(arguments.length!==5)throw new RangeError("expected 4 arguments");if($e("startRow",Ae),$e("endRow",Le),$e("startColumn",Ie),$e("endColumn",ze),Ae>Le||Ie>ze||Ae<0||Ae>=pt.rows||Le<0||Le>=pt.rows||Ie<0||Ie>=pt.columns||ze<0||ze>=pt.columns)throw new RangeError("Submatrix indices are out of range")}function nt(pt,Ae=0){let Le=[];for(let Ie=0;Ie<pt;Ie++)Le.push(Ae);return Le}function $e(pt,Ae){if(typeof Ae!="number")throw new TypeError(`${pt} must be a number`)}function qe(pt){if(pt.isEmpty())throw new Error("Empty matrix has no elements to index")}function st(pt){let Ae=nt(pt.rows);for(let Le=0;Le<pt.rows;++Le)for(let Ie=0;Ie<pt.columns;++Ie)Ae[Le]+=pt.get(Le,Ie);return Ae}function at(pt){let Ae=nt(pt.columns);for(let Le=0;Le<pt.rows;++Le)for(let Ie=0;Ie<pt.columns;++Ie)Ae[Ie]+=pt.get(Le,Ie);return Ae}function ct(pt){let Ae=0;for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)Ae+=pt.get(Le,Ie);return Ae}function tt(pt){let Ae=nt(pt.rows,1);for(let Le=0;Le<pt.rows;++Le)for(let Ie=0;Ie<pt.columns;++Ie)Ae[Le]*=pt.get(Le,Ie);return Ae}function dt(pt){let Ae=nt(pt.columns,1);for(let Le=0;Le<pt.rows;++Le)for(let Ie=0;Ie<pt.columns;++Ie)Ae[Ie]*=pt.get(Le,Ie);return Ae}function At(pt){let Ae=1;for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)Ae*=pt.get(Le,Ie);return Ae}function mt(pt,Ae,Le){const Ie=pt.rows,ze=pt.columns,Ze=[];for(let xt=0;xt<Ie;xt++){let bt=0,Yt=0,Ht=0;for(let cn=0;cn<ze;cn++)Ht=pt.get(xt,cn)-Le[xt],bt+=Ht,Yt+=Ht*Ht;Ae?Ze.push((Yt-bt*bt/ze)/(ze-1)):Ze.push((Yt-bt*bt/ze)/ze)}return Ze}function ht(pt,Ae,Le){const Ie=pt.rows,ze=pt.columns,Ze=[];for(let xt=0;xt<ze;xt++){let bt=0,Yt=0,Ht=0;for(let cn=0;cn<Ie;cn++)Ht=pt.get(cn,xt)-Le[xt],bt+=Ht,Yt+=Ht*Ht;Ae?Ze.push((Yt-bt*bt/Ie)/(Ie-1)):Ze.push((Yt-bt*bt/Ie)/Ie)}return Ze}function vt(pt,Ae,Le){const Ie=pt.rows,ze=pt.columns,Ze=Ie*ze;let xt=0,bt=0,Yt=0;for(let Ht=0;Ht<Ie;Ht++)for(let cn=0;cn<ze;cn++)Yt=pt.get(Ht,cn)-Le,xt+=Yt,bt+=Yt*Yt;return Ae?(bt-xt*xt/Ze)/(Ze-1):(bt-xt*xt/Ze)/Ze}function jt(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)-Ae[Le])}function qt(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)-Ae[Ie])}function en(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)-Ae)}function mn(pt){const Ae=[];for(let Le=0;Le<pt.rows;Le++){let Ie=0;for(let ze=0;ze<pt.columns;ze++)Ie+=Se(pt.get(Le,ze),2)/(pt.columns-1);Ae.push(Math.sqrt(Ie))}return Ae}function Ot(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)/Ae[Le])}function an(pt){const Ae=[];for(let Le=0;Le<pt.columns;Le++){let Ie=0;for(let ze=0;ze<pt.rows;ze++)Ie+=Se(pt.get(ze,Le),2)/(pt.rows-1);Ae.push(Math.sqrt(Ie))}return Ae}function nn(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)/Ae[Ie])}function Dn(pt){const Ae=pt.size-1;let Le=0;for(let Ie=0;Ie<pt.columns;Ie++)for(let ze=0;ze<pt.rows;ze++)Le+=Se(pt.get(ze,Ie),2)/Ae;return Math.sqrt(Le)}function Nn(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)/Ae)}class sn{static from1DArray(Ae,Le,Ie){if(Ae*Le!==Ie.length)throw new RangeError("data length does not match given dimensions");let Ze=new yt(Ae,Le);for(let xt=0;xt<Ae;xt++)for(let bt=0;bt<Le;bt++)Ze.set(xt,bt,Ie[xt*Le+bt]);return Ze}static rowVector(Ae){let Le=new yt(1,Ae.length);for(let Ie=0;Ie<Ae.length;Ie++)Le.set(0,Ie,Ae[Ie]);return Le}static columnVector(Ae){let Le=new yt(Ae.length,1);for(let Ie=0;Ie<Ae.length;Ie++)Le.set(Ie,0,Ae[Ie]);return Le}static zeros(Ae,Le){return new yt(Ae,Le)}static ones(Ae,Le){return new yt(Ae,Le).fill(1)}static rand(Ae,Le,Ie={}){if(typeof Ie!="object")throw new TypeError("options must be an object");const{random:ze=Math.random}=Ie;let Ze=new yt(Ae,Le);for(let xt=0;xt<Ae;xt++)for(let bt=0;bt<Le;bt++)Ze.set(xt,bt,ze());return Ze}static randInt(Ae,Le,Ie={}){if(typeof Ie!="object")throw new TypeError("options must be an object");const{min:ze=0,max:Ze=1e3,random:xt=Math.random}=Ie;if(!Number.isInteger(ze))throw new TypeError("min must be an integer");if(!Number.isInteger(Ze))throw new TypeError("max must be an integer");if(ze>=Ze)throw new RangeError("min must be smaller than max");let bt=Ze-ze,Yt=new yt(Ae,Le);for(let Ht=0;Ht<Ae;Ht++)for(let cn=0;cn<Le;cn++){let dn=ze+Math.round(xt()*bt);Yt.set(Ht,cn,dn)}return Yt}static eye(Ae,Le,Ie){Le===void 0&&(Le=Ae),Ie===void 0&&(Ie=1);let ze=Math.min(Ae,Le),Ze=this.zeros(Ae,Le);for(let xt=0;xt<ze;xt++)Ze.set(xt,xt,Ie);return Ze}static diag(Ae,Le,Ie){let ze=Ae.length;Le===void 0&&(Le=ze),Ie===void 0&&(Ie=Le);let Ze=Math.min(ze,Le,Ie),xt=this.zeros(Le,Ie);for(let bt=0;bt<Ze;bt++)xt.set(bt,bt,Ae[bt]);return xt}static min(Ae,Le){Ae=this.checkMatrix(Ae),Le=this.checkMatrix(Le);let Ie=Ae.rows,ze=Ae.columns,Ze=new yt(Ie,ze);for(let xt=0;xt<Ie;xt++)for(let bt=0;bt<ze;bt++)Ze.set(xt,bt,Math.min(Ae.get(xt,bt),Le.get(xt,bt)));return Ze}static max(Ae,Le){Ae=this.checkMatrix(Ae),Le=this.checkMatrix(Le);let Ie=Ae.rows,ze=Ae.columns,Ze=new this(Ie,ze);for(let xt=0;xt<Ie;xt++)for(let bt=0;bt<ze;bt++)Ze.set(xt,bt,Math.max(Ae.get(xt,bt),Le.get(xt,bt)));return Ze}static checkMatrix(Ae){return sn.isMatrix(Ae)?Ae:new yt(Ae)}static isMatrix(Ae){return Ae!=null&&Ae.klass==="Matrix"}get size(){return this.rows*this.columns}apply(Ae){if(typeof Ae!="function")throw new TypeError("callback must be a function");for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)Ae.call(this,Le,Ie);return this}to1DArray(){let Ae=[];for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)Ae.push(this.get(Le,Ie));return Ae}to2DArray(){let Ae=[];for(let Le=0;Le<this.rows;Le++){Ae.push([]);for(let Ie=0;Ie<this.columns;Ie++)Ae[Le].push(this.get(Le,Ie))}return Ae}toJSON(){return this.to2DArray()}isRowVector(){return this.rows===1}isColumnVector(){return this.columns===1}isVector(){return this.rows===1||this.columns===1}isSquare(){return this.rows===this.columns}isEmpty(){return this.rows===0||this.columns===0}isSymmetric(){if(this.isSquare()){for(let Ae=0;Ae<this.rows;Ae++)for(let Le=0;Le<=Ae;Le++)if(this.get(Ae,Le)!==this.get(Le,Ae))return!1;return!0}return!1}isDistance(){if(!this.isSymmetric())return!1;for(let Ae=0;Ae<this.rows;Ae++)if(this.get(Ae,Ae)!==0)return!1;return!0}isEchelonForm(){let Ae=0,Le=0,Ie=-1,ze=!0,Ze=!1;for(;Ae<this.rows&&ze;){for(Le=0,Ze=!1;Le<this.columns&&Ze===!1;)this.get(Ae,Le)===0?Le++:this.get(Ae,Le)===1&&Le>Ie?(Ze=!0,Ie=Le):(ze=!1,Ze=!0);Ae++}return ze}isReducedEchelonForm(){let Ae=0,Le=0,Ie=-1,ze=!0,Ze=!1;for(;Ae<this.rows&&ze;){for(Le=0,Ze=!1;Le<this.columns&&Ze===!1;)this.get(Ae,Le)===0?Le++:this.get(Ae,Le)===1&&Le>Ie?(Ze=!0,Ie=Le):(ze=!1,Ze=!0);for(let xt=Le+1;xt<this.rows;xt++)this.get(Ae,xt)!==0&&(ze=!1);Ae++}return ze}echelonForm(){let Ae=this.clone(),Le=0,Ie=0;for(;Le<Ae.rows&&Ie<Ae.columns;){let ze=Le;for(let Ze=Le;Ze<Ae.rows;Ze++)Ae.get(Ze,Ie)>Ae.get(ze,Ie)&&(ze=Ze);if(Ae.get(ze,Ie)===0)Ie++;else{Ae.swapRows(Le,ze);let Ze=Ae.get(Le,Ie);for(let xt=Ie;xt<Ae.columns;xt++)Ae.set(Le,xt,Ae.get(Le,xt)/Ze);for(let xt=Le+1;xt<Ae.rows;xt++){let bt=Ae.get(xt,Ie)/Ae.get(Le,Ie);Ae.set(xt,Ie,0);for(let Yt=Ie+1;Yt<Ae.columns;Yt++)Ae.set(xt,Yt,Ae.get(xt,Yt)-Ae.get(Le,Yt)*bt)}Le++,Ie++}}return Ae}reducedEchelonForm(){let Ae=this.echelonForm(),Le=Ae.columns,Ie=Ae.rows,ze=Ie-1;for(;ze>=0;)if(Ae.maxRow(ze)===0)ze--;else{let Ze=0,xt=!1;for(;Ze<Ie&&xt===!1;)Ae.get(ze,Ze)===1?xt=!0:Ze++;for(let bt=0;bt<ze;bt++){let Yt=Ae.get(bt,Ze);for(let Ht=Ze;Ht<Le;Ht++){let cn=Ae.get(bt,Ht)-Yt*Ae.get(ze,Ht);Ae.set(bt,Ht,cn)}}ze--}return Ae}set(){throw new Error("set method is unimplemented")}get(){throw new Error("get method is unimplemented")}repeat(Ae={}){if(typeof Ae!="object")throw new TypeError("options must be an object");const{rows:Le=1,columns:Ie=1}=Ae;if(!Number.isInteger(Le)||Le<=0)throw new TypeError("rows must be a positive integer");if(!Number.isInteger(Ie)||Ie<=0)throw new TypeError("columns must be a positive integer");let ze=new yt(this.rows*Le,this.columns*Ie);for(let Ze=0;Ze<Le;Ze++)for(let xt=0;xt<Ie;xt++)ze.setSubMatrix(this,this.rows*Ze,this.columns*xt);return ze}fill(Ae){for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,Ae);return this}neg(){return this.mulS(-1)}getRow(Ae){De(this,Ae);let Le=[];for(let Ie=0;Ie<this.columns;Ie++)Le.push(this.get(Ae,Ie));return Le}getRowVector(Ae){return yt.rowVector(this.getRow(Ae))}setRow(Ae,Le){De(this,Ae),Le=Be(this,Le);for(let Ie=0;Ie<this.columns;Ie++)this.set(Ae,Ie,Le[Ie]);return this}swapRows(Ae,Le){De(this,Ae),De(this,Le);for(let Ie=0;Ie<this.columns;Ie++){let ze=this.get(Ae,Ie);this.set(Ae,Ie,this.get(Le,Ie)),this.set(Le,Ie,ze)}return this}getColumn(Ae){Re(this,Ae);let Le=[];for(let Ie=0;Ie<this.rows;Ie++)Le.push(this.get(Ie,Ae));return Le}getColumnVector(Ae){return yt.columnVector(this.getColumn(Ae))}setColumn(Ae,Le){Re(this,Ae),Le=Ue(this,Le);for(let Ie=0;Ie<this.rows;Ie++)this.set(Ie,Ae,Le[Ie]);return this}swapColumns(Ae,Le){Re(this,Ae),Re(this,Le);for(let Ie=0;Ie<this.rows;Ie++){let ze=this.get(Ie,Ae);this.set(Ie,Ae,this.get(Ie,Le)),this.set(Ie,Le,ze)}return this}addRowVector(Ae){Ae=Be(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)+Ae[Ie]);return this}subRowVector(Ae){Ae=Be(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)-Ae[Ie]);return this}mulRowVector(Ae){Ae=Be(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)*Ae[Ie]);return this}divRowVector(Ae){Ae=Be(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)/Ae[Ie]);return this}addColumnVector(Ae){Ae=Ue(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)+Ae[Le]);return this}subColumnVector(Ae){Ae=Ue(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)-Ae[Le]);return this}mulColumnVector(Ae){Ae=Ue(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)*Ae[Le]);return this}divColumnVector(Ae){Ae=Ue(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)/Ae[Le]);return this}mulRow(Ae,Le){De(this,Ae);for(let Ie=0;Ie<this.columns;Ie++)this.set(Ae,Ie,this.get(Ae,Ie)*Le);return this}mulColumn(Ae,Le){Re(this,Ae);for(let Ie=0;Ie<this.rows;Ie++)this.set(Ie,Ae,this.get(Ie,Ae)*Le);return this}max(Ae){if(this.isEmpty())return NaN;switch(Ae){case"row":{const Le=new Array(this.rows).fill(Number.NEGATIVE_INFINITY);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)>Le[Ie]&&(Le[Ie]=this.get(Ie,ze));return Le}case"column":{const Le=new Array(this.columns).fill(Number.NEGATIVE_INFINITY);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)>Le[ze]&&(Le[ze]=this.get(Ie,ze));return Le}case void 0:{let Le=this.get(0,0);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)>Le&&(Le=this.get(Ie,ze));return Le}default:throw new Error(`invalid option: ${Ae}`)}}maxIndex(){qe(this);let Ae=this.get(0,0),Le=[0,0];for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)>Ae&&(Ae=this.get(Ie,ze),Le[0]=Ie,Le[1]=ze);return Le}min(Ae){if(this.isEmpty())return NaN;switch(Ae){case"row":{const Le=new Array(this.rows).fill(Number.POSITIVE_INFINITY);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)<Le[Ie]&&(Le[Ie]=this.get(Ie,ze));return Le}case"column":{const Le=new Array(this.columns).fill(Number.POSITIVE_INFINITY);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)<Le[ze]&&(Le[ze]=this.get(Ie,ze));return Le}case void 0:{let Le=this.get(0,0);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)<Le&&(Le=this.get(Ie,ze));return Le}default:throw new Error(`invalid option: ${Ae}`)}}minIndex(){qe(this);let Ae=this.get(0,0),Le=[0,0];for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)<Ae&&(Ae=this.get(Ie,ze),Le[0]=Ie,Le[1]=ze);return Le}maxRow(Ae){if(De(this,Ae),this.isEmpty())return NaN;let Le=this.get(Ae,0);for(let Ie=1;Ie<this.columns;Ie++)this.get(Ae,Ie)>Le&&(Le=this.get(Ae,Ie));return Le}maxRowIndex(Ae){De(this,Ae),qe(this);let Le=this.get(Ae,0),Ie=[Ae,0];for(let ze=1;ze<this.columns;ze++)this.get(Ae,ze)>Le&&(Le=this.get(Ae,ze),Ie[1]=ze);return Ie}minRow(Ae){if(De(this,Ae),this.isEmpty())return NaN;let Le=this.get(Ae,0);for(let Ie=1;Ie<this.columns;Ie++)this.get(Ae,Ie)<Le&&(Le=this.get(Ae,Ie));return Le}minRowIndex(Ae){De(this,Ae),qe(this);let Le=this.get(Ae,0),Ie=[Ae,0];for(let ze=1;ze<this.columns;ze++)this.get(Ae,ze)<Le&&(Le=this.get(Ae,ze),Ie[1]=ze);return Ie}maxColumn(Ae){if(Re(this,Ae),this.isEmpty())return NaN;let Le=this.get(0,Ae);for(let Ie=1;Ie<this.rows;Ie++)this.get(Ie,Ae)>Le&&(Le=this.get(Ie,Ae));return Le}maxColumnIndex(Ae){Re(this,Ae),qe(this);let Le=this.get(0,Ae),Ie=[0,Ae];for(let ze=1;ze<this.rows;ze++)this.get(ze,Ae)>Le&&(Le=this.get(ze,Ae),Ie[0]=ze);return Ie}minColumn(Ae){if(Re(this,Ae),this.isEmpty())return NaN;let Le=this.get(0,Ae);for(let Ie=1;Ie<this.rows;Ie++)this.get(Ie,Ae)<Le&&(Le=this.get(Ie,Ae));return Le}minColumnIndex(Ae){Re(this,Ae),qe(this);let Le=this.get(0,Ae),Ie=[0,Ae];for(let ze=1;ze<this.rows;ze++)this.get(ze,Ae)<Le&&(Le=this.get(ze,Ae),Ie[0]=ze);return Ie}diag(){let Ae=Math.min(this.rows,this.columns),Le=[];for(let Ie=0;Ie<Ae;Ie++)Le.push(this.get(Ie,Ie));return Le}norm(Ae="frobenius"){switch(Ae){case"max":return this.max();case"frobenius":return Math.sqrt(this.dot(this));default:throw new RangeError(`unknown norm type: ${Ae}`)}}cumulativeSum(){let Ae=0;for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)Ae+=this.get(Le,Ie),this.set(Le,Ie,Ae);return this}dot(Ae){sn.isMatrix(Ae)&&(Ae=Ae.to1DArray());let Le=this.to1DArray();if(Le.length!==Ae.length)throw new RangeError("vectors do not have the same size");let Ie=0;for(let ze=0;ze<Le.length;ze++)Ie+=Le[ze]*Ae[ze];return Ie}mmul(Ae){Ae=yt.checkMatrix(Ae);let Le=this.rows,Ie=this.columns,ze=Ae.columns,Ze=new yt(Le,ze),xt=new Float64Array(Ie);for(let bt=0;bt<ze;bt++){for(let Yt=0;Yt<Ie;Yt++)xt[Yt]=Ae.get(Yt,bt);for(let Yt=0;Yt<Le;Yt++){let Ht=0;for(let cn=0;cn<Ie;cn++)Ht+=this.get(Yt,cn)*xt[cn];Ze.set(Yt,bt,Ht)}}return Ze}mpow(Ae){if(!this.isSquare())throw new RangeError("Matrix must be square");if(!Number.isInteger(Ae)||Ae<0)throw new RangeError("Exponent must be a non-negative integer");let Le=yt.eye(this.rows),Ie=this;for(let ze=Ae;ze>1;ze/=2)ze&1&&(Le=Le.mmul(Ie)),Ie=Ie.mmul(Ie);return Le}strassen2x2(Ae){Ae=yt.checkMatrix(Ae);let Le=new yt(2,2);const Ie=this.get(0,0),ze=Ae.get(0,0),Ze=this.get(0,1),xt=Ae.get(0,1),bt=this.get(1,0),Yt=Ae.get(1,0),Ht=this.get(1,1),cn=Ae.get(1,1),dn=(Ie+Ht)*(ze+cn),Zn=(bt+Ht)*ze,Mn=Ie*(xt-cn),er=Ht*(Yt-ze),rr=(Ie+Ze)*cn,mr=(bt-Ie)*(ze+xt),pn=(Ze-Ht)*(Yt+cn),tn=dn+er-rr+pn,Tn=Mn+rr,Hn=Zn+er,fr=dn-Zn+Mn+mr;return Le.set(0,0,tn),Le.set(0,1,Tn),Le.set(1,0,Hn),Le.set(1,1,fr),Le}strassen3x3(Ae){Ae=yt.checkMatrix(Ae);let Le=new yt(3,3);const Ie=this.get(0,0),ze=this.get(0,1),Ze=this.get(0,2),xt=this.get(1,0),bt=this.get(1,1),Yt=this.get(1,2),Ht=this.get(2,0),cn=this.get(2,1),dn=this.get(2,2),Zn=Ae.get(0,0),Mn=Ae.get(0,1),er=Ae.get(0,2),rr=Ae.get(1,0),mr=Ae.get(1,1),pn=Ae.get(1,2),tn=Ae.get(2,0),Tn=Ae.get(2,1),Hn=Ae.get(2,2),fr=(Ie+ze+Ze-xt-bt-cn-dn)*mr,br=(Ie-xt)*(-Mn+mr),tr=bt*(-Zn+Mn+rr-mr-pn-tn+Hn),hr=(-Ie+xt+bt)*(Zn-Mn+mr),vr=(xt+bt)*(-Zn+Mn),Bn=Ie*Zn,xr=(-Ie+Ht+cn)*(Zn-er+pn),Jn=(-Ie+Ht)*(er-pn),Nr=(Ht+cn)*(-Zn+er),Xa=(Ie+ze+Ze-bt-Yt-Ht-cn)*pn,$a=cn*(-Zn+er+rr-mr-pn-tn+Tn),ai=(-Ze+cn+dn)*(mr+tn-Tn),Zr=(Ze-dn)*(mr-Tn),ua=Ze*tn,Da=(cn+dn)*(-tn+Tn),sa=(-Ze+bt+Yt)*(pn+tn-Hn),Ja=(Ze-Yt)*(pn-Hn),Li=(bt+Yt)*(-tn+Hn),Na=ze*rr,Ti=Yt*Tn,ji=xt*er,Ao=Ht*Mn,uo=dn*Hn,Ts=Bn+ua+Na,zo=fr+hr+vr+Bn+ai+ua+Da,po=Bn+xr+Nr+Xa+ua+sa+Li,qo=br+tr+hr+Bn+ua+sa+Ja,Uo=br+hr+vr+Bn+Ti,Wo=ua+sa+Ja+Li+ji,Qr=Bn+xr+Jn+$a+ai+Zr+ua,jo=ai+Zr+ua+Da+Ao,Ds=Bn+xr+Jn+Nr+uo;return Le.set(0,0,Ts),Le.set(0,1,zo),Le.set(0,2,po),Le.set(1,0,qo),Le.set(1,1,Uo),Le.set(1,2,Wo),Le.set(2,0,Qr),Le.set(2,1,jo),Le.set(2,2,Ds),Le}mmulStrassen(Ae){Ae=yt.checkMatrix(Ae);let Le=this.clone(),Ie=Le.rows,ze=Le.columns,Ze=Ae.rows,xt=Ae.columns;ze!==Ze&&console.warn(`Multiplying ${Ie} x ${ze} and ${Ze} x ${xt} matrix: dimensions do not match.`);function bt(dn,Zn,Mn){let er=dn.rows,rr=dn.columns;if(er===Zn&&rr===Mn)return dn;{let mr=sn.zeros(Zn,Mn);return mr=mr.setSubMatrix(dn,0,0),mr}}let Yt=Math.max(Ie,Ze),Ht=Math.max(ze,xt);Le=bt(Le,Yt,Ht),Ae=bt(Ae,Yt,Ht);function cn(dn,Zn,Mn,er){if(Mn<=512||er<=512)return dn.mmul(Zn);Mn%2===1&&er%2===1?(dn=bt(dn,Mn+1,er+1),Zn=bt(Zn,Mn+1,er+1)):Mn%2===1?(dn=bt(dn,Mn+1,er),Zn=bt(Zn,Mn+1,er)):er%2===1&&(dn=bt(dn,Mn,er+1),Zn=bt(Zn,Mn,er+1));let rr=parseInt(dn.rows/2,10),mr=parseInt(dn.columns/2,10),pn=dn.subMatrix(0,rr-1,0,mr-1),tn=Zn.subMatrix(0,rr-1,0,mr-1),Tn=dn.subMatrix(0,rr-1,mr,dn.columns-1),Hn=Zn.subMatrix(0,rr-1,mr,Zn.columns-1),fr=dn.subMatrix(rr,dn.rows-1,0,mr-1),br=Zn.subMatrix(rr,Zn.rows-1,0,mr-1),tr=dn.subMatrix(rr,dn.rows-1,mr,dn.columns-1),hr=Zn.subMatrix(rr,Zn.rows-1,mr,Zn.columns-1),vr=cn(sn.add(pn,tr),sn.add(tn,hr),rr,mr),Bn=cn(sn.add(fr,tr),tn,rr,mr),xr=cn(pn,sn.sub(Hn,hr),rr,mr),Jn=cn(tr,sn.sub(br,tn),rr,mr),Nr=cn(sn.add(pn,Tn),hr,rr,mr),Xa=cn(sn.sub(fr,pn),sn.add(tn,Hn),rr,mr),$a=cn(sn.sub(Tn,tr),sn.add(br,hr),rr,mr),ai=sn.add(vr,Jn);ai.sub(Nr),ai.add($a);let Zr=sn.add(xr,Nr),ua=sn.add(Bn,Jn),Da=sn.sub(vr,Bn);Da.add(xr),Da.add(Xa);let sa=sn.zeros(2*ai.rows,2*ai.columns);return sa=sa.setSubMatrix(ai,0,0),sa=sa.setSubMatrix(Zr,ai.rows,0),sa=sa.setSubMatrix(ua,0,ai.columns),sa=sa.setSubMatrix(Da,ai.rows,ai.columns),sa.subMatrix(0,Mn-1,0,er-1)}return cn(Le,Ae,Yt,Ht)}scaleRows(Ae={}){if(typeof Ae!="object")throw new TypeError("options must be an object");const{min:Le=0,max:Ie=1}=Ae;if(!Number.isFinite(Le))throw new TypeError("min must be a number");if(!Number.isFinite(Ie))throw new TypeError("max must be a number");if(Le>=Ie)throw new RangeError("min must be smaller than max");let ze=new yt(this.rows,this.columns);for(let Ze=0;Ze<this.rows;Ze++){const xt=this.getRow(Ze);xt.length>0&&ne(xt,{min:Le,max:Ie,output:xt}),ze.setRow(Ze,xt)}return ze}scaleColumns(Ae={}){if(typeof Ae!="object")throw new TypeError("options must be an object");const{min:Le=0,max:Ie=1}=Ae;if(!Number.isFinite(Le))throw new TypeError("min must be a number");if(!Number.isFinite(Ie))throw new TypeError("max must be a number");if(Le>=Ie)throw new RangeError("min must be smaller than max");let ze=new yt(this.rows,this.columns);for(let Ze=0;Ze<this.columns;Ze++){const xt=this.getColumn(Ze);xt.length&&ne(xt,{min:Le,max:Ie,output:xt}),ze.setColumn(Ze,xt)}return ze}flipRows(){const Ae=Math.ceil(this.columns/2);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<Ae;Ie++){let ze=this.get(Le,Ie),Ze=this.get(Le,this.columns-1-Ie);this.set(Le,Ie,Ze),this.set(Le,this.columns-1-Ie,ze)}return this}flipColumns(){const Ae=Math.ceil(this.rows/2);for(let Le=0;Le<this.columns;Le++)for(let Ie=0;Ie<Ae;Ie++){let ze=this.get(Ie,Le),Ze=this.get(this.rows-1-Ie,Le);this.set(Ie,Le,Ze),this.set(this.rows-1-Ie,Le,ze)}return this}kroneckerProduct(Ae){Ae=yt.checkMatrix(Ae);let Le=this.rows,Ie=this.columns,ze=Ae.rows,Ze=Ae.columns,xt=new yt(Le*ze,Ie*Ze);for(let bt=0;bt<Le;bt++)for(let Yt=0;Yt<Ie;Yt++)for(let Ht=0;Ht<ze;Ht++)for(let cn=0;cn<Ze;cn++)xt.set(ze*bt+Ht,Ze*Yt+cn,this.get(bt,Yt)*Ae.get(Ht,cn));return xt}kroneckerSum(Ae){if(Ae=yt.checkMatrix(Ae),!this.isSquare()||!Ae.isSquare())throw new Error("Kronecker Sum needs two Square Matrices");let Le=this.rows,Ie=Ae.rows,ze=this.kroneckerProduct(yt.eye(Ie,Ie)),Ze=yt.eye(Le,Le).kroneckerProduct(Ae);return ze.add(Ze)}transpose(){let Ae=new yt(this.columns,this.rows);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)Ae.set(Ie,Le,this.get(Le,Ie));return Ae}sortRows(Ae=fn){for(let Le=0;Le<this.rows;Le++)this.setRow(Le,this.getRow(Le).sort(Ae));return this}sortColumns(Ae=fn){for(let Le=0;Le<this.columns;Le++)this.setColumn(Le,this.getColumn(Le).sort(Ae));return this}subMatrix(Ae,Le,Ie,ze){Ye(this,Ae,Le,Ie,ze);let Ze=new yt(Le-Ae+1,ze-Ie+1);for(let xt=Ae;xt<=Le;xt++)for(let bt=Ie;bt<=ze;bt++)Ze.set(xt-Ae,bt-Ie,this.get(xt,bt));return Ze}subMatrixRow(Ae,Le,Ie){if(Le===void 0&&(Le=0),Ie===void 0&&(Ie=this.columns-1),Le>Ie||Le<0||Le>=this.columns||Ie<0||Ie>=this.columns)throw new RangeError("Argument out of range");let ze=new yt(Ae.length,Ie-Le+1);for(let Ze=0;Ze<Ae.length;Ze++)for(let xt=Le;xt<=Ie;xt++){if(Ae[Ze]<0||Ae[Ze]>=this.rows)throw new RangeError(`Row index out of range: ${Ae[Ze]}`);ze.set(Ze,xt-Le,this.get(Ae[Ze],xt))}return ze}subMatrixColumn(Ae,Le,Ie){if(Le===void 0&&(Le=0),Ie===void 0&&(Ie=this.rows-1),Le>Ie||Le<0||Le>=this.rows||Ie<0||Ie>=this.rows)throw new RangeError("Argument out of range");let ze=new yt(Ie-Le+1,Ae.length);for(let Ze=0;Ze<Ae.length;Ze++)for(let xt=Le;xt<=Ie;xt++){if(Ae[Ze]<0||Ae[Ze]>=this.columns)throw new RangeError(`Column index out of range: ${Ae[Ze]}`);ze.set(xt-Le,Ze,this.get(xt,Ae[Ze]))}return ze}setSubMatrix(Ae,Le,Ie){if(Ae=yt.checkMatrix(Ae),Ae.isEmpty())return this;let ze=Le+Ae.rows-1,Ze=Ie+Ae.columns-1;Ye(this,Le,ze,Ie,Ze);for(let xt=0;xt<Ae.rows;xt++)for(let bt=0;bt<Ae.columns;bt++)this.set(Le+xt,Ie+bt,Ae.get(xt,bt));return this}selection(Ae,Le){Ge(this,Ae),Xe(this,Le);let Ie=new yt(Ae.length,Le.length);for(let ze=0;ze<Ae.length;ze++){let Ze=Ae[ze];for(let xt=0;xt<Le.length;xt++){let bt=Le[xt];Ie.set(ze,xt,this.get(Ze,bt))}}return Ie}trace(){let Ae=Math.min(this.rows,this.columns),Le=0;for(let Ie=0;Ie<Ae;Ie++)Le+=this.get(Ie,Ie);return Le}clone(){return this.constructor.copy(this,new yt(this.rows,this.columns))}static copy(Ae,Le){for(const[Ie,ze,Ze]of Ae.entries())Le.set(Ie,ze,Ze);return Le}sum(Ae){switch(Ae){case"row":return st(this);case"column":return at(this);case void 0:return ct(this);default:throw new Error(`invalid option: ${Ae}`)}}product(Ae){switch(Ae){case"row":return tt(this);case"column":return dt(this);case void 0:return At(this);default:throw new Error(`invalid option: ${Ae}`)}}mean(Ae){const Le=this.sum(Ae);switch(Ae){case"row":{for(let Ie=0;Ie<this.rows;Ie++)Le[Ie]/=this.columns;return Le}case"column":{for(let Ie=0;Ie<this.columns;Ie++)Le[Ie]/=this.rows;return Le}case void 0:return Le/this.size;default:throw new Error(`invalid option: ${Ae}`)}}variance(Ae,Le={}){if(typeof Ae=="object"&&(Le=Ae,Ae=void 0),typeof Le!="object")throw new TypeError("options must be an object");const{unbiased:Ie=!0,mean:ze=this.mean(Ae)}=Le;if(typeof Ie!="boolean")throw new TypeError("unbiased must be a boolean");switch(Ae){case"row":{if(!ee.isAnyArray(ze))throw new TypeError("mean must be an array");return mt(this,Ie,ze)}case"column":{if(!ee.isAnyArray(ze))throw new TypeError("mean must be an array");return ht(this,Ie,ze)}case void 0:{if(typeof ze!="number")throw new TypeError("mean must be a number");return vt(this,Ie,ze)}default:throw new Error(`invalid option: ${Ae}`)}}standardDeviation(Ae,Le){typeof Ae=="object"&&(Le=Ae,Ae=void 0);const Ie=this.variance(Ae,Le);if(Ae===void 0)return Math.sqrt(Ie);for(let ze=0;ze<Ie.length;ze++)Ie[ze]=Math.sqrt(Ie[ze]);return Ie}center(Ae,Le={}){if(typeof Ae=="object"&&(Le=Ae,Ae=void 0),typeof Le!="object")throw new TypeError("options must be an object");const{center:Ie=this.mean(Ae)}=Le;switch(Ae){case"row":{if(!ee.isAnyArray(Ie))throw new TypeError("center must be an array");return jt(this,Ie),this}case"column":{if(!ee.isAnyArray(Ie))throw new TypeError("center must be an array");return qt(this,Ie),this}case void 0:{if(typeof Ie!="number")throw new TypeError("center must be a number");return en(this,Ie),this}default:throw new Error(`invalid option: ${Ae}`)}}scale(Ae,Le={}){if(typeof Ae=="object"&&(Le=Ae,Ae=void 0),typeof Le!="object")throw new TypeError("options must be an object");let Ie=Le.scale;switch(Ae){case"row":{if(Ie===void 0)Ie=mn(this);else if(!ee.isAnyArray(Ie))throw new TypeError("scale must be an array");return Ot(this,Ie),this}case"column":{if(Ie===void 0)Ie=an(this);else if(!ee.isAnyArray(Ie))throw new TypeError("scale must be an array");return nn(this,Ie),this}case void 0:{if(Ie===void 0)Ie=Dn(this);else if(typeof Ie!="number")throw new TypeError("scale must be a number");return Nn(this,Ie),this}default:throw new Error(`invalid option: ${Ae}`)}}toString(Ae){return he(this,Ae)}[Symbol.iterator](){return this.entries()}*entries(){for(let Ae=0;Ae<this.rows;Ae++)for(let Le=0;Le<this.columns;Le++)yield[Ae,Le,this.get(Ae,Le)]}*values(){for(let Ae=0;Ae<this.rows;Ae++)for(let Le=0;Le<this.columns;Le++)yield this.get(Ae,Le)}}sn.prototype.klass="Matrix",typeof Symbol!="undefined"&&(sn.prototype[Symbol.for("nodejs.util.inspect.custom")]=ce);function fn(pt,Ae){return pt-Ae}function Kt(pt){return pt.every(Ae=>typeof Ae=="number")}sn.random=sn.rand,sn.randomInt=sn.randInt,sn.diagonal=sn.diag,sn.prototype.diagonal=sn.prototype.diag,sn.identity=sn.eye,sn.prototype.negate=sn.prototype.neg,sn.prototype.tensorProduct=sn.prototype.kroneckerProduct;const Tt=class wS extends sn{constructor(Ae,Le){if(super(),we(this,Ee),Ce(this,"data"),wS.isMatrix(Ae))pe(this,Ee,Pe).call(this,Ae.rows,Ae.columns),wS.copy(Ae,this);else if(Number.isInteger(Ae)&&Ae>=0)pe(this,Ee,Pe).call(this,Ae,Le);else if(ee.isAnyArray(Ae)){const Ie=Ae;if(Ae=Ie.length,Le=Ae?Ie[0].length:0,typeof Le!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let ze=0;ze<Ae;ze++){if(Ie[ze].length!==Le)throw new RangeError("Inconsistent array dimensions");if(!Kt(Ie[ze]))throw new TypeError("Input data contains non-numeric values");this.data.push(Float64Array.from(Ie[ze]))}this.rows=Ae,this.columns=Le}else throw new TypeError("First argument must be a positive number or an array")}set(Ae,Le,Ie){return this.data[Ae][Le]=Ie,this}get(Ae,Le){return this.data[Ae][Le]}removeRow(Ae){return De(this,Ae),this.data.splice(Ae,1),this.rows-=1,this}addRow(Ae,Le){return Le===void 0&&(Le=Ae,Ae=this.rows),De(this,Ae,!0),Le=Float64Array.from(Be(this,Le)),this.data.splice(Ae,0,Le),this.rows+=1,this}removeColumn(Ae){Re(this,Ae);for(let Le=0;Le<this.rows;Le++){const Ie=new Float64Array(this.columns-1);for(let ze=0;ze<Ae;ze++)Ie[ze]=this.data[Le][ze];for(let ze=Ae+1;ze<this.columns;ze++)Ie[ze-1]=this.data[Le][ze];this.data[Le]=Ie}return this.columns-=1,this}addColumn(Ae,Le){typeof Le=="undefined"&&(Le=Ae,Ae=this.columns),Re(this,Ae,!0),Le=Ue(this,Le);for(let Ie=0;Ie<this.rows;Ie++){const ze=new Float64Array(this.columns+1);let Ze=0;for(;Ze<Ae;Ze++)ze[Ze]=this.data[Ie][Ze];for(ze[Ze++]=Le[Ie];Ze<this.columns+1;Ze++)ze[Ze]=this.data[Ie][Ze-1];this.data[Ie]=ze}return this.columns+=1,this}};Ee=new WeakSet,Pe=function(pt,Ae){if(this.data=[],Number.isInteger(Ae)&&Ae>=0)for(let Le=0;Le<pt;Le++)this.data.push(new Float64Array(Ae));else throw new TypeError("nColumns must be a positive integer");this.rows=pt,this.columns=Ae};let yt=Tt;be(sn,yt);const Gt=class MS extends sn{constructor(Ae){if(super(),we(this,de),yt.isMatrix(Ae)){if(!Ae.isSymmetric())throw new TypeError("not symmetric data");Me(this,de,yt.copy(Ae,new yt(Ae.rows,Ae.rows)))}else if(Number.isInteger(Ae)&&Ae>=0)Me(this,de,new yt(Ae,Ae));else if(Me(this,de,new yt(Ae)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return ye(this,de).size}get rows(){return ye(this,de).rows}get columns(){return ye(this,de).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(Ae){return yt.isMatrix(Ae)&&Ae.klassType==="SymmetricMatrix"}static zeros(Ae){return new this(Ae)}static ones(Ae){return new this(Ae).fill(1)}clone(){const Ae=new MS(this.diagonalSize);for(const[Le,Ie,ze]of this.upperRightEntries())Ae.set(Le,Ie,ze);return Ae}toMatrix(){return new yt(this)}get(Ae,Le){return ye(this,de).get(Ae,Le)}set(Ae,Le,Ie){return ye(this,de).set(Ae,Le,Ie),ye(this,de).set(Le,Ae,Ie),this}removeCross(Ae){return ye(this,de).removeRow(Ae),ye(this,de).removeColumn(Ae),this}addCross(Ae,Le){Le===void 0&&(Le=Ae,Ae=this.diagonalSize);const Ie=Le.slice();return Ie.splice(Ae,1),ye(this,de).addRow(Ae,Ie),ye(this,de).addColumn(Ae,Le),this}applyMask(Ae){if(Ae.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const Le=[];for(const[Ie,ze]of Ae.entries())ze||Le.push(Ie);Le.reverse();for(const Ie of Le)this.removeCross(Ie);return this}toCompact(){const{diagonalSize:Ae}=this,Le=new Array(Ae*(Ae+1)/2);for(let Ie=0,ze=0,Ze=0;Ze<Le.length;Ze++)Le[Ze]=this.get(ze,Ie),++Ie>=Ae&&(Ie=++ze);return Le}static fromCompact(Ae){const Le=Ae.length,Ie=(Math.sqrt(8*Le+1)-1)/2;if(!Number.isInteger(Ie))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(Ae)}`);const ze=new MS(Ie);for(let Ze=0,xt=0,bt=0;bt<Le;bt++)ze.set(Ze,xt,Ae[bt]),++Ze>=Ie&&(Ze=++xt);return ze}*upperRightEntries(){for(let Ae=0,Le=0;Ae<this.diagonalSize;void 0){const Ie=this.get(Ae,Le);yield[Ae,Le,Ie],++Le>=this.diagonalSize&&(Le=++Ae)}}*upperRightValues(){for(let Ae=0,Le=0;Ae<this.diagonalSize;void 0)yield this.get(Ae,Le),++Le>=this.diagonalSize&&(Le=++Ae)}};de=new WeakMap;let gt=Gt;gt.prototype.klassType="SymmetricMatrix";class St extends gt{static isDistanceMatrix(Ae){return gt.isSymmetricMatrix(Ae)&&Ae.klassSubType==="DistanceMatrix"}constructor(Ae){if(super(Ae),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(Ae,Le,Ie){return Ae===Le&&(Ie=0),super.set(Ae,Le,Ie)}addCross(Ae,Le){return Le===void 0&&(Le=Ae,Ae=this.diagonalSize),Le=Le.slice(),Le[Ae]=0,super.addCross(Ae,Le)}toSymmetricMatrix(){return new gt(this)}clone(){const Ae=new St(this.diagonalSize);for(const[Le,Ie,ze]of this.upperRightEntries())Le!==Ie&&Ae.set(Le,Ie,ze);return Ae}toCompact(){const{diagonalSize:Ae}=this,Le=(Ae-1)*Ae/2,Ie=new Array(Le);for(let ze=1,Ze=0,xt=0;xt<Ie.length;xt++)Ie[xt]=this.get(Ze,ze),++ze>=Ae&&(ze=++Ze+1);return Ie}static fromCompact(Ae){const Le=Ae.length;if(Le===0)return new this(0);const Ie=(Math.sqrt(8*Le+1)+1)/2;if(!Number.isInteger(Ie))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(Ae)}`);const ze=new this(Ie);for(let Ze=1,xt=0,bt=0;bt<Le;bt++)ze.set(Ze,xt,Ae[bt]),++Ze>=Ie&&(Ze=++xt+1);return ze}}St.prototype.klassSubType="DistanceMatrix";class Qt extends sn{constructor(Ae,Le,Ie){super(),this.matrix=Ae,this.rows=Le,this.columns=Ie}}class Nt extends Qt{constructor(Ae,Le){Re(Ae,Le),super(Ae,Ae.rows,1),this.column=Le}set(Ae,Le,Ie){return this.matrix.set(Ae,this.column,Ie),this}get(Ae){return this.matrix.get(Ae,this.column)}}class wt extends Qt{constructor(Ae,Le){Xe(Ae,Le),super(Ae,Ae.rows,Le.length),this.columnIndices=Le}set(Ae,Le,Ie){return this.matrix.set(Ae,this.columnIndices[Le],Ie),this}get(Ae,Le){return this.matrix.get(Ae,this.columnIndices[Le])}}class rn extends Qt{constructor(Ae){super(Ae,Ae.rows,Ae.columns)}set(Ae,Le,Ie){return this.matrix.set(Ae,this.columns-Le-1,Ie),this}get(Ae,Le){return this.matrix.get(Ae,this.columns-Le-1)}}class On extends Qt{constructor(Ae){super(Ae,Ae.rows,Ae.columns)}set(Ae,Le,Ie){return this.matrix.set(this.rows-Ae-1,Le,Ie),this}get(Ae,Le){return this.matrix.get(this.rows-Ae-1,Le)}}class zn extends Qt{constructor(Ae,Le){De(Ae,Le),super(Ae,1,Ae.columns),this.row=Le}set(Ae,Le,Ie){return this.matrix.set(this.row,Le,Ie),this}get(Ae,Le){return this.matrix.get(this.row,Le)}}class Gn extends Qt{constructor(Ae,Le){Ge(Ae,Le),super(Ae,Le.length,Ae.columns),this.rowIndices=Le}set(Ae,Le,Ie){return this.matrix.set(this.rowIndices[Ae],Le,Ie),this}get(Ae,Le){return this.matrix.get(this.rowIndices[Ae],Le)}}class nr extends Qt{constructor(Ae,Le,Ie){Ge(Ae,Le),Xe(Ae,Ie),super(Ae,Le.length,Ie.length),this.rowIndices=Le,this.columnIndices=Ie}set(Ae,Le,Ie){return this.matrix.set(this.rowIndices[Ae],this.columnIndices[Le],Ie),this}get(Ae,Le){return this.matrix.get(this.rowIndices[Ae],this.columnIndices[Le])}}class Xn extends Qt{constructor(Ae,Le,Ie,ze,Ze){Ye(Ae,Le,Ie,ze,Ze),super(Ae,Ie-Le+1,Ze-ze+1),this.startRow=Le,this.startColumn=ze}set(Ae,Le,Ie){return this.matrix.set(this.startRow+Ae,this.startColumn+Le,Ie),this}get(Ae,Le){return this.matrix.get(this.startRow+Ae,this.startColumn+Le)}}class $t extends Qt{constructor(Ae){super(Ae,Ae.columns,Ae.rows)}set(Ae,Le,Ie){return this.matrix.set(Le,Ae,Ie),this}get(Ae,Le){return this.matrix.get(Le,Ae)}}class gn extends sn{constructor(Ae,Le={}){const{rows:Ie=1}=Le;if(Ae.length%Ie!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=Ie,this.columns=Ae.length/Ie,this.data=Ae}set(Ae,Le,Ie){let ze=this._calculateIndex(Ae,Le);return this.data[ze]=Ie,this}get(Ae,Le){let Ie=this._calculateIndex(Ae,Le);return this.data[Ie]}_calculateIndex(Ae,Le){return Ae*this.columns+Le}}class jn extends sn{constructor(Ae){super(),this.data=Ae,this.rows=Ae.length,this.columns=Ae[0].length}set(Ae,Le,Ie){return this.data[Ae][Le]=Ie,this}get(Ae,Le){return this.data[Ae][Le]}}function Ln(pt,Ae){if(ee.isAnyArray(pt))return pt[0]&&ee.isAnyArray(pt[0])?new jn(pt):new gn(pt,Ae);throw new Error("the argument is not an array")}class Sr{constructor(Ae){Ae=jn.checkMatrix(Ae);let Le=Ae.clone(),Ie=Le.rows,ze=Le.columns,Ze=new Float64Array(Ie),xt=1,bt,Yt,Ht,cn,dn,Zn,Mn,er,rr;for(bt=0;bt<Ie;bt++)Ze[bt]=bt;for(er=new Float64Array(Ie),Yt=0;Yt<ze;Yt++){for(bt=0;bt<Ie;bt++)er[bt]=Le.get(bt,Yt);for(bt=0;bt<Ie;bt++){for(rr=Math.min(bt,Yt),dn=0,Ht=0;Ht<rr;Ht++)dn+=Le.get(bt,Ht)*er[Ht];er[bt]-=dn,Le.set(bt,Yt,er[bt])}for(cn=Yt,bt=Yt+1;bt<Ie;bt++)Math.abs(er[bt])>Math.abs(er[cn])&&(cn=bt);if(cn!==Yt){for(Ht=0;Ht<ze;Ht++)Zn=Le.get(cn,Ht),Le.set(cn,Ht,Le.get(Yt,Ht)),Le.set(Yt,Ht,Zn);Mn=Ze[cn],Ze[cn]=Ze[Yt],Ze[Yt]=Mn,xt=-xt}if(Yt<Ie&&Le.get(Yt,Yt)!==0)for(bt=Yt+1;bt<Ie;bt++)Le.set(bt,Yt,Le.get(bt,Yt)/Le.get(Yt,Yt))}this.LU=Le,this.pivotVector=Ze,this.pivotSign=xt}isSingular(){let Ae=this.LU,Le=Ae.columns;for(let Ie=0;Ie<Le;Ie++)if(Ae.get(Ie,Ie)===0)return!0;return!1}solve(Ae){Ae=yt.checkMatrix(Ae);let Le=this.LU;if(Le.rows!==Ae.rows)throw new Error("Invalid matrix dimensions");if(this.isSingular())throw new Error("LU matrix is singular");let ze=Ae.columns,Ze=Ae.subMatrixRow(this.pivotVector,0,ze-1),xt=Le.columns,bt,Yt,Ht;for(Ht=0;Ht<xt;Ht++)for(bt=Ht+1;bt<xt;bt++)for(Yt=0;Yt<ze;Yt++)Ze.set(bt,Yt,Ze.get(bt,Yt)-Ze.get(Ht,Yt)*Le.get(bt,Ht));for(Ht=xt-1;Ht>=0;Ht--){for(Yt=0;Yt<ze;Yt++)Ze.set(Ht,Yt,Ze.get(Ht,Yt)/Le.get(Ht,Ht));for(bt=0;bt<Ht;bt++)for(Yt=0;Yt<ze;Yt++)Ze.set(bt,Yt,Ze.get(bt,Yt)-Ze.get(Ht,Yt)*Le.get(bt,Ht))}return Ze}get determinant(){let Ae=this.LU;if(!Ae.isSquare())throw new Error("Matrix must be square");let Le=this.pivotSign,Ie=Ae.columns;for(let ze=0;ze<Ie;ze++)Le*=Ae.get(ze,ze);return Le}get lowerTriangularMatrix(){let Ae=this.LU,Le=Ae.rows,Ie=Ae.columns,ze=new yt(Le,Ie);for(let Ze=0;Ze<Le;Ze++)for(let xt=0;xt<Ie;xt++)Ze>xt?ze.set(Ze,xt,Ae.get(Ze,xt)):Ze===xt?ze.set(Ze,xt,1):ze.set(Ze,xt,0);return ze}get upperTriangularMatrix(){let Ae=this.LU,Le=Ae.rows,Ie=Ae.columns,ze=new yt(Le,Ie);for(let Ze=0;Ze<Le;Ze++)for(let xt=0;xt<Ie;xt++)Ze<=xt?ze.set(Ze,xt,Ae.get(Ze,xt)):ze.set(Ze,xt,0);return ze}get pivotPermutationVector(){return Array.from(this.pivotVector)}}function Ur(pt,Ae){let Le=0;return Math.abs(pt)>Math.abs(Ae)?(Le=Ae/pt,Math.abs(pt)*Math.sqrt(1+Le*Le)):Ae!==0?(Le=pt/Ae,Math.abs(Ae)*Math.sqrt(1+Le*Le)):0}class Mr{constructor(Ae){Ae=jn.checkMatrix(Ae);let Le=Ae.clone(),Ie=Ae.rows,ze=Ae.columns,Ze=new Float64Array(ze),xt,bt,Yt,Ht;for(Yt=0;Yt<ze;Yt++){let cn=0;for(xt=Yt;xt<Ie;xt++)cn=Ur(cn,Le.get(xt,Yt));if(cn!==0){for(Le.get(Yt,Yt)<0&&(cn=-cn),xt=Yt;xt<Ie;xt++)Le.set(xt,Yt,Le.get(xt,Yt)/cn);for(Le.set(Yt,Yt,Le.get(Yt,Yt)+1),bt=Yt+1;bt<ze;bt++){for(Ht=0,xt=Yt;xt<Ie;xt++)Ht+=Le.get(xt,Yt)*Le.get(xt,bt);for(Ht=-Ht/Le.get(Yt,Yt),xt=Yt;xt<Ie;xt++)Le.set(xt,bt,Le.get(xt,bt)+Ht*Le.get(xt,Yt))}}Ze[Yt]=-cn}this.QR=Le,this.Rdiag=Ze}solve(Ae){Ae=yt.checkMatrix(Ae);let Le=this.QR,Ie=Le.rows;if(Ae.rows!==Ie)throw new Error("Matrix row dimensions must agree");if(!this.isFullRank())throw new Error("Matrix is rank deficient");let ze=Ae.columns,Ze=Ae.clone(),xt=Le.columns,bt,Yt,Ht,cn;for(Ht=0;Ht<xt;Ht++)for(Yt=0;Yt<ze;Yt++){for(cn=0,bt=Ht;bt<Ie;bt++)cn+=Le.get(bt,Ht)*Ze.get(bt,Yt);for(cn=-cn/Le.get(Ht,Ht),bt=Ht;bt<Ie;bt++)Ze.set(bt,Yt,Ze.get(bt,Yt)+cn*Le.get(bt,Ht))}for(Ht=xt-1;Ht>=0;Ht--){for(Yt=0;Yt<ze;Yt++)Ze.set(Ht,Yt,Ze.get(Ht,Yt)/this.Rdiag[Ht]);for(bt=0;bt<Ht;bt++)for(Yt=0;Yt<ze;Yt++)Ze.set(bt,Yt,Ze.get(bt,Yt)-Ze.get(Ht,Yt)*Le.get(bt,Ht))}return Ze.subMatrix(0,xt-1,0,ze-1)}isFullRank(){let Ae=this.QR.columns;for(let Le=0;Le<Ae;Le++)if(this.Rdiag[Le]===0)return!1;return!0}get upperTriangularMatrix(){let Ae=this.QR,Le=Ae.columns,Ie=new yt(Le,Le),ze,Ze;for(ze=0;ze<Le;ze++)for(Ze=0;Ze<Le;Ze++)ze<Ze?Ie.set(ze,Ze,Ae.get(ze,Ze)):ze===Ze?Ie.set(ze,Ze,this.Rdiag[ze]):Ie.set(ze,Ze,0);return Ie}get orthogonalMatrix(){let Ae=this.QR,Le=Ae.rows,Ie=Ae.columns,ze=new yt(Le,Ie),Ze,xt,bt,Yt;for(bt=Ie-1;bt>=0;bt--){for(Ze=0;Ze<Le;Ze++)ze.set(Ze,bt,0);for(ze.set(bt,bt,1),xt=bt;xt<Ie;xt++)if(Ae.get(bt,bt)!==0){for(Yt=0,Ze=bt;Ze<Le;Ze++)Yt+=Ae.get(Ze,bt)*ze.get(Ze,xt);for(Yt=-Yt/Ae.get(bt,bt),Ze=bt;Ze<Le;Ze++)ze.set(Ze,xt,ze.get(Ze,xt)+Yt*Ae.get(Ze,bt))}}return ze}}class Gr{constructor(Ae,Le={}){if(Ae=jn.checkMatrix(Ae),Ae.isEmpty())throw new Error("Matrix must be non-empty");let Ie=Ae.rows,ze=Ae.columns;const{computeLeftSingularVectors:Ze=!0,computeRightSingularVectors:xt=!0,autoTranspose:bt=!1}=Le;let Yt=!!Ze,Ht=!!xt,cn=!1,dn;if(Ie<ze)if(!bt)dn=Ae.clone(),console.warn("Computing SVD on a matrix with more columns than rows. Consider enabling autoTranspose");else{dn=Ae.transpose(),Ie=dn.rows,ze=dn.columns,cn=!0;let Bn=Yt;Yt=Ht,Ht=Bn}else dn=Ae.clone();let Zn=Math.min(Ie,ze),Mn=Math.min(Ie+1,ze),er=new Float64Array(Mn),rr=new yt(Ie,Zn),mr=new yt(ze,ze),pn=new Float64Array(ze),tn=new Float64Array(Ie),Tn=new Float64Array(Mn);for(let Bn=0;Bn<Mn;Bn++)Tn[Bn]=Bn;let Hn=Math.min(Ie-1,ze),fr=Math.max(0,Math.min(ze-2,Ie)),br=Math.max(Hn,fr);for(let Bn=0;Bn<br;Bn++){if(Bn<Hn){er[Bn]=0;for(let xr=Bn;xr<Ie;xr++)er[Bn]=Ur(er[Bn],dn.get(xr,Bn));if(er[Bn]!==0){dn.get(Bn,Bn)<0&&(er[Bn]=-er[Bn]);for(let xr=Bn;xr<Ie;xr++)dn.set(xr,Bn,dn.get(xr,Bn)/er[Bn]);dn.set(Bn,Bn,dn.get(Bn,Bn)+1)}er[Bn]=-er[Bn]}for(let xr=Bn+1;xr<ze;xr++){if(Bn<Hn&&er[Bn]!==0){let Jn=0;for(let Nr=Bn;Nr<Ie;Nr++)Jn+=dn.get(Nr,Bn)*dn.get(Nr,xr);Jn=-Jn/dn.get(Bn,Bn);for(let Nr=Bn;Nr<Ie;Nr++)dn.set(Nr,xr,dn.get(Nr,xr)+Jn*dn.get(Nr,Bn))}pn[xr]=dn.get(Bn,xr)}if(Yt&&Bn<Hn)for(let xr=Bn;xr<Ie;xr++)rr.set(xr,Bn,dn.get(xr,Bn));if(Bn<fr){pn[Bn]=0;for(let xr=Bn+1;xr<ze;xr++)pn[Bn]=Ur(pn[Bn],pn[xr]);if(pn[Bn]!==0){pn[Bn+1]<0&&(pn[Bn]=0-pn[Bn]);for(let xr=Bn+1;xr<ze;xr++)pn[xr]/=pn[Bn];pn[Bn+1]+=1}if(pn[Bn]=-pn[Bn],Bn+1<Ie&&pn[Bn]!==0){for(let xr=Bn+1;xr<Ie;xr++)tn[xr]=0;for(let xr=Bn+1;xr<Ie;xr++)for(let Jn=Bn+1;Jn<ze;Jn++)tn[xr]+=pn[Jn]*dn.get(xr,Jn);for(let xr=Bn+1;xr<ze;xr++){let Jn=-pn[xr]/pn[Bn+1];for(let Nr=Bn+1;Nr<Ie;Nr++)dn.set(Nr,xr,dn.get(Nr,xr)+Jn*tn[Nr])}}if(Ht)for(let xr=Bn+1;xr<ze;xr++)mr.set(xr,Bn,pn[xr])}}let tr=Math.min(ze,Ie+1);if(Hn<ze&&(er[Hn]=dn.get(Hn,Hn)),Ie<tr&&(er[tr-1]=0),fr+1<tr&&(pn[fr]=dn.get(fr,tr-1)),pn[tr-1]=0,Yt){for(let Bn=Hn;Bn<Zn;Bn++){for(let xr=0;xr<Ie;xr++)rr.set(xr,Bn,0);rr.set(Bn,Bn,1)}for(let Bn=Hn-1;Bn>=0;Bn--)if(er[Bn]!==0){for(let xr=Bn+1;xr<Zn;xr++){let Jn=0;for(let Nr=Bn;Nr<Ie;Nr++)Jn+=rr.get(Nr,Bn)*rr.get(Nr,xr);Jn=-Jn/rr.get(Bn,Bn);for(let Nr=Bn;Nr<Ie;Nr++)rr.set(Nr,xr,rr.get(Nr,xr)+Jn*rr.get(Nr,Bn))}for(let xr=Bn;xr<Ie;xr++)rr.set(xr,Bn,-rr.get(xr,Bn));rr.set(Bn,Bn,1+rr.get(Bn,Bn));for(let xr=0;xr<Bn-1;xr++)rr.set(xr,Bn,0)}else{for(let xr=0;xr<Ie;xr++)rr.set(xr,Bn,0);rr.set(Bn,Bn,1)}}if(Ht)for(let Bn=ze-1;Bn>=0;Bn--){if(Bn<fr&&pn[Bn]!==0)for(let xr=Bn+1;xr<ze;xr++){let Jn=0;for(let Nr=Bn+1;Nr<ze;Nr++)Jn+=mr.get(Nr,Bn)*mr.get(Nr,xr);Jn=-Jn/mr.get(Bn+1,Bn);for(let Nr=Bn+1;Nr<ze;Nr++)mr.set(Nr,xr,mr.get(Nr,xr)+Jn*mr.get(Nr,Bn))}for(let xr=0;xr<ze;xr++)mr.set(xr,Bn,0);mr.set(Bn,Bn,1)}let hr=tr-1,vr=Number.EPSILON;for(;tr>0;){let Bn,xr;for(Bn=tr-2;Bn>=-1&&Bn!==-1;Bn--){const Jn=Number.MIN_VALUE+vr*Math.abs(er[Bn]+Math.abs(er[Bn+1]));if(Math.abs(pn[Bn])<=Jn||Number.isNaN(pn[Bn])){pn[Bn]=0;break}}if(Bn===tr-2)xr=4;else{let Jn;for(Jn=tr-1;Jn>=Bn&&Jn!==Bn;Jn--){let Nr=(Jn!==tr?Math.abs(pn[Jn]):0)+(Jn!==Bn+1?Math.abs(pn[Jn-1]):0);if(Math.abs(er[Jn])<=vr*Nr){er[Jn]=0;break}}Jn===Bn?xr=3:Jn===tr-1?xr=1:(xr=2,Bn=Jn)}switch(Bn++,xr){case 1:{let Jn=pn[tr-2];pn[tr-2]=0;for(let Nr=tr-2;Nr>=Bn;Nr--){let Xa=Ur(er[Nr],Jn),$a=er[Nr]/Xa,ai=Jn/Xa;if(er[Nr]=Xa,Nr!==Bn&&(Jn=-ai*pn[Nr-1],pn[Nr-1]=$a*pn[Nr-1]),Ht)for(let Zr=0;Zr<ze;Zr++)Xa=$a*mr.get(Zr,Nr)+ai*mr.get(Zr,tr-1),mr.set(Zr,tr-1,-ai*mr.get(Zr,Nr)+$a*mr.get(Zr,tr-1)),mr.set(Zr,Nr,Xa)}break}case 2:{let Jn=pn[Bn-1];pn[Bn-1]=0;for(let Nr=Bn;Nr<tr;Nr++){let Xa=Ur(er[Nr],Jn),$a=er[Nr]/Xa,ai=Jn/Xa;if(er[Nr]=Xa,Jn=-ai*pn[Nr],pn[Nr]=$a*pn[Nr],Yt)for(let Zr=0;Zr<Ie;Zr++)Xa=$a*rr.get(Zr,Nr)+ai*rr.get(Zr,Bn-1),rr.set(Zr,Bn-1,-ai*rr.get(Zr,Nr)+$a*rr.get(Zr,Bn-1)),rr.set(Zr,Nr,Xa)}break}case 3:{const Jn=Math.max(Math.abs(er[tr-1]),Math.abs(er[tr-2]),Math.abs(pn[tr-2]),Math.abs(er[Bn]),Math.abs(pn[Bn])),Nr=er[tr-1]/Jn,Xa=er[tr-2]/Jn,$a=pn[tr-2]/Jn,ai=er[Bn]/Jn,Zr=pn[Bn]/Jn,ua=((Xa+Nr)*(Xa-Nr)+$a*$a)/2,Da=Nr*$a*(Nr*$a);let sa=0;(ua!==0||Da!==0)&&(ua<0?sa=0-Math.sqrt(ua*ua+Da):sa=Math.sqrt(ua*ua+Da),sa=Da/(ua+sa));let Ja=(ai+Nr)*(ai-Nr)+sa,Li=ai*Zr;for(let Na=Bn;Na<tr-1;Na++){let Ti=Ur(Ja,Li);Ti===0&&(Ti=Number.MIN_VALUE);let ji=Ja/Ti,Ao=Li/Ti;if(Na!==Bn&&(pn[Na-1]=Ti),Ja=ji*er[Na]+Ao*pn[Na],pn[Na]=ji*pn[Na]-Ao*er[Na],Li=Ao*er[Na+1],er[Na+1]=ji*er[Na+1],Ht)for(let uo=0;uo<ze;uo++)Ti=ji*mr.get(uo,Na)+Ao*mr.get(uo,Na+1),mr.set(uo,Na+1,-Ao*mr.get(uo,Na)+ji*mr.get(uo,Na+1)),mr.set(uo,Na,Ti);if(Ti=Ur(Ja,Li),Ti===0&&(Ti=Number.MIN_VALUE),ji=Ja/Ti,Ao=Li/Ti,er[Na]=Ti,Ja=ji*pn[Na]+Ao*er[Na+1],er[Na+1]=-Ao*pn[Na]+ji*er[Na+1],Li=Ao*pn[Na+1],pn[Na+1]=ji*pn[Na+1],Yt&&Na<Ie-1)for(let uo=0;uo<Ie;uo++)Ti=ji*rr.get(uo,Na)+Ao*rr.get(uo,Na+1),rr.set(uo,Na+1,-Ao*rr.get(uo,Na)+ji*rr.get(uo,Na+1)),rr.set(uo,Na,Ti)}pn[tr-2]=Ja;break}case 4:{if(er[Bn]<=0&&(er[Bn]=er[Bn]<0?-er[Bn]:0,Ht))for(let Jn=0;Jn<=hr;Jn++)mr.set(Jn,Bn,-mr.get(Jn,Bn));for(;Bn<hr&&!(er[Bn]>=er[Bn+1]);){let Jn=er[Bn];if(er[Bn]=er[Bn+1],er[Bn+1]=Jn,Ht&&Bn<ze-1)for(let Nr=0;Nr<ze;Nr++)Jn=mr.get(Nr,Bn+1),mr.set(Nr,Bn+1,mr.get(Nr,Bn)),mr.set(Nr,Bn,Jn);if(Yt&&Bn<Ie-1)for(let Nr=0;Nr<Ie;Nr++)Jn=rr.get(Nr,Bn+1),rr.set(Nr,Bn+1,rr.get(Nr,Bn)),rr.set(Nr,Bn,Jn);Bn++}tr--;break}}}if(cn){let Bn=mr;mr=rr,rr=Bn}this.m=Ie,this.n=ze,this.s=er,this.U=rr,this.V=mr}solve(Ae){let Le=Ae,Ie=this.threshold,ze=this.s.length,Ze=yt.zeros(ze,ze);for(let Zn=0;Zn<ze;Zn++)Math.abs(this.s[Zn])<=Ie?Ze.set(Zn,Zn,0):Ze.set(Zn,Zn,1/this.s[Zn]);let xt=this.U,bt=this.rightSingularVectors,Yt=bt.mmul(Ze),Ht=bt.rows,cn=xt.rows,dn=yt.zeros(Ht,cn);for(let Zn=0;Zn<Ht;Zn++)for(let Mn=0;Mn<cn;Mn++){let er=0;for(let rr=0;rr<ze;rr++)er+=Yt.get(Zn,rr)*xt.get(Mn,rr);dn.set(Zn,Mn,er)}return dn.mmul(Le)}solveForDiagonal(Ae){return this.solve(yt.diag(Ae))}inverse(){let Ae=this.V,Le=this.threshold,Ie=Ae.rows,ze=Ae.columns,Ze=new yt(Ie,this.s.length);for(let cn=0;cn<Ie;cn++)for(let dn=0;dn<ze;dn++)Math.abs(this.s[dn])>Le&&Ze.set(cn,dn,Ae.get(cn,dn)/this.s[dn]);let xt=this.U,bt=xt.rows,Yt=xt.columns,Ht=new yt(Ie,bt);for(let cn=0;cn<Ie;cn++)for(let dn=0;dn<bt;dn++){let Zn=0;for(let Mn=0;Mn<Yt;Mn++)Zn+=Ze.get(cn,Mn)*xt.get(dn,Mn);Ht.set(cn,dn,Zn)}return Ht}get condition(){return this.s[0]/this.s[Math.min(this.m,this.n)-1]}get norm2(){return this.s[0]}get rank(){let Ae=Math.max(this.m,this.n)*this.s[0]*Number.EPSILON,Le=0,Ie=this.s;for(let ze=0,Ze=Ie.length;ze<Ze;ze++)Ie[ze]>Ae&&Le++;return Le}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return yt.diag(this.s)}}function ma(pt,Ae=!1){return pt=jn.checkMatrix(pt),Ae?new Gr(pt).inverse():Oa(pt,yt.eye(pt.rows))}function Oa(pt,Ae,Le=!1){return pt=jn.checkMatrix(pt),Ae=jn.checkMatrix(Ae),Le?new Gr(pt).solve(Ae):pt.isSquare()?new Sr(pt).solve(Ae):new Mr(pt).solve(Ae)}function Ea(pt){if(pt=yt.checkMatrix(pt),pt.isSquare()){if(pt.columns===0)return 1;let Ae,Le,Ie,ze;if(pt.columns===2)return Ae=pt.get(0,0),Le=pt.get(0,1),Ie=pt.get(1,0),ze=pt.get(1,1),Ae*ze-Le*Ie;if(pt.columns===3){let Ze,xt,bt;return Ze=new nr(pt,[1,2],[1,2]),xt=new nr(pt,[1,2],[0,2]),bt=new nr(pt,[1,2],[0,1]),Ae=pt.get(0,0),Le=pt.get(0,1),Ie=pt.get(0,2),Ae*Ea(Ze)-Le*Ea(xt)+Ie*Ea(bt)}else return new Sr(pt).determinant}else throw Error("determinant can only be calculated for a square matrix")}function Ma(pt,Ae){let Le=[];for(let Ie=0;Ie<pt;Ie++)Ie!==Ae&&Le.push(Ie);return Le}function li(pt,Ae,Le,Ie=1e-9,ze=1e-9){if(pt>ze)return new Array(Ae.rows+1).fill(0);{let Ze=Ae.addRow(Le,[0]);for(let xt=0;xt<Ze.rows;xt++)Math.abs(Ze.get(xt,0))<Ie&&Ze.set(xt,0,0);return Ze.to1DArray()}}function di(pt,Ae={}){const{thresholdValue:Le=1e-9,thresholdError:Ie=1e-9}=Ae;pt=yt.checkMatrix(pt);let ze=pt.rows,Ze=new yt(ze,ze);for(let xt=0;xt<ze;xt++){let bt=yt.columnVector(pt.getRow(xt)),Yt=pt.subMatrixRow(Ma(ze,xt)).transpose(),cn=new Gr(Yt).solve(bt),dn=yt.sub(bt,Yt.mmul(cn)).abs().max();Ze.setRow(xt,li(dn,cn,xt,Le,Ie))}return Ze}function Hr(pt,Ae=Number.EPSILON){if(pt=yt.checkMatrix(pt),pt.isEmpty())return pt.transpose();let Le=new Gr(pt,{autoTranspose:!0}),Ie=Le.leftSingularVectors,ze=Le.rightSingularVectors,Ze=Le.diagonal;for(let xt=0;xt<Ze.length;xt++)Math.abs(Ze[xt])>Ae?Ze[xt]=1/Ze[xt]:Ze[xt]=0;return ze.mmul(yt.diag(Ze).mmul(Ie.transpose()))}function Ta(pt,Ae=pt,Le={}){pt=new yt(pt);let Ie=!1;if(typeof Ae=="object"&&!yt.isMatrix(Ae)&&!ee.isAnyArray(Ae)?(Le=Ae,Ae=pt,Ie=!0):Ae=new yt(Ae),pt.rows!==Ae.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:ze=!0}=Le;ze&&(pt=pt.center("column"),Ie||(Ae=Ae.center("column")));const Ze=pt.transpose().mmul(Ae);for(let xt=0;xt<Ze.rows;xt++)for(let bt=0;bt<Ze.columns;bt++)Ze.set(xt,bt,Ze.get(xt,bt)*(1/(pt.rows-1)));return Ze}function Ha(pt,Ae=pt,Le={}){pt=new yt(pt);let Ie=!1;if(typeof Ae=="object"&&!yt.isMatrix(Ae)&&!ee.isAnyArray(Ae)?(Le=Ae,Ae=pt,Ie=!0):Ae=new yt(Ae),pt.rows!==Ae.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:ze=!0,scale:Ze=!0}=Le;ze&&(pt.center("column"),Ie||Ae.center("column")),Ze&&(pt.scale("column"),Ie||Ae.scale("column"));const xt=pt.standardDeviation("column",{unbiased:!0}),bt=Ie?xt:Ae.standardDeviation("column",{unbiased:!0}),Yt=pt.transpose().mmul(Ae);for(let Ht=0;Ht<Yt.rows;Ht++)for(let cn=0;cn<Yt.columns;cn++)Yt.set(Ht,cn,Yt.get(Ht,cn)*(1/(xt[Ht]*bt[cn]))*(1/(pt.rows-1)));return Yt}class sr{constructor(Ae,Le={}){const{assumeSymmetric:Ie=!1}=Le;if(Ae=jn.checkMatrix(Ae),!Ae.isSquare())throw new Error("Matrix is not a square matrix");if(Ae.isEmpty())throw new Error("Matrix must be non-empty");let ze=Ae.columns,Ze=new yt(ze,ze),xt=new Float64Array(ze),bt=new Float64Array(ze),Yt=Ae,Ht,cn,dn=!1;if(Ie?dn=!0:dn=Ae.isSymmetric(),dn){for(Ht=0;Ht<ze;Ht++)for(cn=0;cn<ze;cn++)Ze.set(Ht,cn,Yt.get(Ht,cn));pr(ze,bt,xt,Ze),Qa(ze,bt,xt,Ze)}else{let Zn=new yt(ze,ze),Mn=new Float64Array(ze);for(cn=0;cn<ze;cn++)for(Ht=0;Ht<ze;Ht++)Zn.set(Ht,cn,Yt.get(Ht,cn));hn(ze,Zn,Mn,Ze),kn(ze,bt,xt,Ze,Zn)}this.n=ze,this.e=bt,this.d=xt,this.V=Ze}get realEigenvalues(){return Array.from(this.d)}get imaginaryEigenvalues(){return Array.from(this.e)}get eigenvectorMatrix(){return this.V}get diagonalMatrix(){let Ae=this.n,Le=this.e,Ie=this.d,ze=new yt(Ae,Ae),Ze,xt;for(Ze=0;Ze<Ae;Ze++){for(xt=0;xt<Ae;xt++)ze.set(Ze,xt,0);ze.set(Ze,Ze,Ie[Ze]),Le[Ze]>0?ze.set(Ze,Ze+1,Le[Ze]):Le[Ze]<0&&ze.set(Ze,Ze-1,Le[Ze])}return ze}}function pr(pt,Ae,Le,Ie){let ze,Ze,xt,bt,Yt,Ht,cn,dn;for(Yt=0;Yt<pt;Yt++)Le[Yt]=Ie.get(pt-1,Yt);for(bt=pt-1;bt>0;bt--){for(dn=0,xt=0,Ht=0;Ht<bt;Ht++)dn=dn+Math.abs(Le[Ht]);if(dn===0)for(Ae[bt]=Le[bt-1],Yt=0;Yt<bt;Yt++)Le[Yt]=Ie.get(bt-1,Yt),Ie.set(bt,Yt,0),Ie.set(Yt,bt,0);else{for(Ht=0;Ht<bt;Ht++)Le[Ht]/=dn,xt+=Le[Ht]*Le[Ht];for(ze=Le[bt-1],Ze=Math.sqrt(xt),ze>0&&(Ze=-Ze),Ae[bt]=dn*Ze,xt=xt-ze*Ze,Le[bt-1]=ze-Ze,Yt=0;Yt<bt;Yt++)Ae[Yt]=0;for(Yt=0;Yt<bt;Yt++){for(ze=Le[Yt],Ie.set(Yt,bt,ze),Ze=Ae[Yt]+Ie.get(Yt,Yt)*ze,Ht=Yt+1;Ht<=bt-1;Ht++)Ze+=Ie.get(Ht,Yt)*Le[Ht],Ae[Ht]+=Ie.get(Ht,Yt)*ze;Ae[Yt]=Ze}for(ze=0,Yt=0;Yt<bt;Yt++)Ae[Yt]/=xt,ze+=Ae[Yt]*Le[Yt];for(cn=ze/(xt+xt),Yt=0;Yt<bt;Yt++)Ae[Yt]-=cn*Le[Yt];for(Yt=0;Yt<bt;Yt++){for(ze=Le[Yt],Ze=Ae[Yt],Ht=Yt;Ht<=bt-1;Ht++)Ie.set(Ht,Yt,Ie.get(Ht,Yt)-(ze*Ae[Ht]+Ze*Le[Ht]));Le[Yt]=Ie.get(bt-1,Yt),Ie.set(bt,Yt,0)}}Le[bt]=xt}for(bt=0;bt<pt-1;bt++){if(Ie.set(pt-1,bt,Ie.get(bt,bt)),Ie.set(bt,bt,1),xt=Le[bt+1],xt!==0){for(Ht=0;Ht<=bt;Ht++)Le[Ht]=Ie.get(Ht,bt+1)/xt;for(Yt=0;Yt<=bt;Yt++){for(Ze=0,Ht=0;Ht<=bt;Ht++)Ze+=Ie.get(Ht,bt+1)*Ie.get(Ht,Yt);for(Ht=0;Ht<=bt;Ht++)Ie.set(Ht,Yt,Ie.get(Ht,Yt)-Ze*Le[Ht])}}for(Ht=0;Ht<=bt;Ht++)Ie.set(Ht,bt+1,0)}for(Yt=0;Yt<pt;Yt++)Le[Yt]=Ie.get(pt-1,Yt),Ie.set(pt-1,Yt,0);Ie.set(pt-1,pt-1,1),Ae[0]=0}function Qa(pt,Ae,Le,Ie){let ze,Ze,xt,bt,Yt,Ht,cn,dn,Zn,Mn,er,rr,mr,pn,tn,Tn;for(xt=1;xt<pt;xt++)Ae[xt-1]=Ae[xt];Ae[pt-1]=0;let Hn=0,fr=0,br=Number.EPSILON;for(Ht=0;Ht<pt;Ht++){for(fr=Math.max(fr,Math.abs(Le[Ht])+Math.abs(Ae[Ht])),cn=Ht;cn<pt&&!(Math.abs(Ae[cn])<=br*fr);)cn++;if(cn>Ht)do{for(ze=Le[Ht],dn=(Le[Ht+1]-ze)/(2*Ae[Ht]),Zn=Ur(dn,1),dn<0&&(Zn=-Zn),Le[Ht]=Ae[Ht]/(dn+Zn),Le[Ht+1]=Ae[Ht]*(dn+Zn),Mn=Le[Ht+1],Ze=ze-Le[Ht],xt=Ht+2;xt<pt;xt++)Le[xt]-=Ze;for(Hn=Hn+Ze,dn=Le[cn],er=1,rr=er,mr=er,pn=Ae[Ht+1],tn=0,Tn=0,xt=cn-1;xt>=Ht;xt--)for(mr=rr,rr=er,Tn=tn,ze=er*Ae[xt],Ze=er*dn,Zn=Ur(dn,Ae[xt]),Ae[xt+1]=tn*Zn,tn=Ae[xt]/Zn,er=dn/Zn,dn=er*Le[xt]-tn*ze,Le[xt+1]=Ze+tn*(er*ze+tn*Le[xt]),Yt=0;Yt<pt;Yt++)Ze=Ie.get(Yt,xt+1),Ie.set(Yt,xt+1,tn*Ie.get(Yt,xt)+er*Ze),Ie.set(Yt,xt,er*Ie.get(Yt,xt)-tn*Ze);dn=-tn*Tn*mr*pn*Ae[Ht]/Mn,Ae[Ht]=tn*dn,Le[Ht]=er*dn}while(Math.abs(Ae[Ht])>br*fr);Le[Ht]=Le[Ht]+Hn,Ae[Ht]=0}for(xt=0;xt<pt-1;xt++){for(Yt=xt,dn=Le[xt],bt=xt+1;bt<pt;bt++)Le[bt]<dn&&(Yt=bt,dn=Le[bt]);if(Yt!==xt)for(Le[Yt]=Le[xt],Le[xt]=dn,bt=0;bt<pt;bt++)dn=Ie.get(bt,xt),Ie.set(bt,xt,Ie.get(bt,Yt)),Ie.set(bt,Yt,dn)}}function hn(pt,Ae,Le,Ie){let ze=0,Ze=pt-1,xt,bt,Yt,Ht,cn,dn,Zn;for(dn=ze+1;dn<=Ze-1;dn++){for(Zn=0,Ht=dn;Ht<=Ze;Ht++)Zn=Zn+Math.abs(Ae.get(Ht,dn-1));if(Zn!==0){for(Yt=0,Ht=Ze;Ht>=dn;Ht--)Le[Ht]=Ae.get(Ht,dn-1)/Zn,Yt+=Le[Ht]*Le[Ht];for(bt=Math.sqrt(Yt),Le[dn]>0&&(bt=-bt),Yt=Yt-Le[dn]*bt,Le[dn]=Le[dn]-bt,cn=dn;cn<pt;cn++){for(xt=0,Ht=Ze;Ht>=dn;Ht--)xt+=Le[Ht]*Ae.get(Ht,cn);for(xt=xt/Yt,Ht=dn;Ht<=Ze;Ht++)Ae.set(Ht,cn,Ae.get(Ht,cn)-xt*Le[Ht])}for(Ht=0;Ht<=Ze;Ht++){for(xt=0,cn=Ze;cn>=dn;cn--)xt+=Le[cn]*Ae.get(Ht,cn);for(xt=xt/Yt,cn=dn;cn<=Ze;cn++)Ae.set(Ht,cn,Ae.get(Ht,cn)-xt*Le[cn])}Le[dn]=Zn*Le[dn],Ae.set(dn,dn-1,Zn*bt)}}for(Ht=0;Ht<pt;Ht++)for(cn=0;cn<pt;cn++)Ie.set(Ht,cn,Ht===cn?1:0);for(dn=Ze-1;dn>=ze+1;dn--)if(Ae.get(dn,dn-1)!==0){for(Ht=dn+1;Ht<=Ze;Ht++)Le[Ht]=Ae.get(Ht,dn-1);for(cn=dn;cn<=Ze;cn++){for(bt=0,Ht=dn;Ht<=Ze;Ht++)bt+=Le[Ht]*Ie.get(Ht,cn);for(bt=bt/Le[dn]/Ae.get(dn,dn-1),Ht=dn;Ht<=Ze;Ht++)Ie.set(Ht,cn,Ie.get(Ht,cn)+bt*Le[Ht])}}}function kn(pt,Ae,Le,Ie,ze){let Ze=pt-1,xt=0,bt=pt-1,Yt=Number.EPSILON,Ht=0,cn=0,dn=0,Zn=0,Mn=0,er=0,rr=0,mr=0,pn,tn,Tn,Hn,fr,br,tr,hr,vr,Bn,xr,Jn,Nr,Xa,$a;for(pn=0;pn<pt;pn++)for((pn<xt||pn>bt)&&(Le[pn]=ze.get(pn,pn),Ae[pn]=0),tn=Math.max(pn-1,0);tn<pt;tn++)cn=cn+Math.abs(ze.get(pn,tn));for(;Ze>=xt;){for(Hn=Ze;Hn>xt&&(er=Math.abs(ze.get(Hn-1,Hn-1))+Math.abs(ze.get(Hn,Hn)),er===0&&(er=cn),!(Math.abs(ze.get(Hn,Hn-1))<Yt*er));)Hn--;if(Hn===Ze)ze.set(Ze,Ze,ze.get(Ze,Ze)+Ht),Le[Ze]=ze.get(Ze,Ze),Ae[Ze]=0,Ze--,mr=0;else if(Hn===Ze-1){if(tr=ze.get(Ze,Ze-1)*ze.get(Ze-1,Ze),dn=(ze.get(Ze-1,Ze-1)-ze.get(Ze,Ze))/2,Zn=dn*dn+tr,rr=Math.sqrt(Math.abs(Zn)),ze.set(Ze,Ze,ze.get(Ze,Ze)+Ht),ze.set(Ze-1,Ze-1,ze.get(Ze-1,Ze-1)+Ht),hr=ze.get(Ze,Ze),Zn>=0){for(rr=dn>=0?dn+rr:dn-rr,Le[Ze-1]=hr+rr,Le[Ze]=Le[Ze-1],rr!==0&&(Le[Ze]=hr-tr/rr),Ae[Ze-1]=0,Ae[Ze]=0,hr=ze.get(Ze,Ze-1),er=Math.abs(hr)+Math.abs(rr),dn=hr/er,Zn=rr/er,Mn=Math.sqrt(dn*dn+Zn*Zn),dn=dn/Mn,Zn=Zn/Mn,tn=Ze-1;tn<pt;tn++)rr=ze.get(Ze-1,tn),ze.set(Ze-1,tn,Zn*rr+dn*ze.get(Ze,tn)),ze.set(Ze,tn,Zn*ze.get(Ze,tn)-dn*rr);for(pn=0;pn<=Ze;pn++)rr=ze.get(pn,Ze-1),ze.set(pn,Ze-1,Zn*rr+dn*ze.get(pn,Ze)),ze.set(pn,Ze,Zn*ze.get(pn,Ze)-dn*rr);for(pn=xt;pn<=bt;pn++)rr=Ie.get(pn,Ze-1),Ie.set(pn,Ze-1,Zn*rr+dn*Ie.get(pn,Ze)),Ie.set(pn,Ze,Zn*Ie.get(pn,Ze)-dn*rr)}else Le[Ze-1]=hr+dn,Le[Ze]=hr+dn,Ae[Ze-1]=rr,Ae[Ze]=-rr;Ze=Ze-2,mr=0}else{if(hr=ze.get(Ze,Ze),vr=0,tr=0,Hn<Ze&&(vr=ze.get(Ze-1,Ze-1),tr=ze.get(Ze,Ze-1)*ze.get(Ze-1,Ze)),mr===10){for(Ht+=hr,pn=xt;pn<=Ze;pn++)ze.set(pn,pn,ze.get(pn,pn)-hr);er=Math.abs(ze.get(Ze,Ze-1))+Math.abs(ze.get(Ze-1,Ze-2)),hr=vr=.75*er,tr=-.4375*er*er}if(mr===30&&(er=(vr-hr)/2,er=er*er+tr,er>0)){for(er=Math.sqrt(er),vr<hr&&(er=-er),er=hr-tr/((vr-hr)/2+er),pn=xt;pn<=Ze;pn++)ze.set(pn,pn,ze.get(pn,pn)-er);Ht+=er,hr=vr=tr=.964}for(mr=mr+1,fr=Ze-2;fr>=Hn&&(rr=ze.get(fr,fr),Mn=hr-rr,er=vr-rr,dn=(Mn*er-tr)/ze.get(fr+1,fr)+ze.get(fr,fr+1),Zn=ze.get(fr+1,fr+1)-rr-Mn-er,Mn=ze.get(fr+2,fr+1),er=Math.abs(dn)+Math.abs(Zn)+Math.abs(Mn),dn=dn/er,Zn=Zn/er,Mn=Mn/er,!(fr===Hn||Math.abs(ze.get(fr,fr-1))*(Math.abs(Zn)+Math.abs(Mn))<Yt*(Math.abs(dn)*(Math.abs(ze.get(fr-1,fr-1))+Math.abs(rr)+Math.abs(ze.get(fr+1,fr+1))))));)fr--;for(pn=fr+2;pn<=Ze;pn++)ze.set(pn,pn-2,0),pn>fr+2&&ze.set(pn,pn-3,0);for(Tn=fr;Tn<=Ze-1&&(Xa=Tn!==Ze-1,Tn!==fr&&(dn=ze.get(Tn,Tn-1),Zn=ze.get(Tn+1,Tn-1),Mn=Xa?ze.get(Tn+2,Tn-1):0,hr=Math.abs(dn)+Math.abs(Zn)+Math.abs(Mn),hr!==0&&(dn=dn/hr,Zn=Zn/hr,Mn=Mn/hr)),hr!==0);Tn++)if(er=Math.sqrt(dn*dn+Zn*Zn+Mn*Mn),dn<0&&(er=-er),er!==0){for(Tn!==fr?ze.set(Tn,Tn-1,-er*hr):Hn!==fr&&ze.set(Tn,Tn-1,-ze.get(Tn,Tn-1)),dn=dn+er,hr=dn/er,vr=Zn/er,rr=Mn/er,Zn=Zn/dn,Mn=Mn/dn,tn=Tn;tn<pt;tn++)dn=ze.get(Tn,tn)+Zn*ze.get(Tn+1,tn),Xa&&(dn=dn+Mn*ze.get(Tn+2,tn),ze.set(Tn+2,tn,ze.get(Tn+2,tn)-dn*rr)),ze.set(Tn,tn,ze.get(Tn,tn)-dn*hr),ze.set(Tn+1,tn,ze.get(Tn+1,tn)-dn*vr);for(pn=0;pn<=Math.min(Ze,Tn+3);pn++)dn=hr*ze.get(pn,Tn)+vr*ze.get(pn,Tn+1),Xa&&(dn=dn+rr*ze.get(pn,Tn+2),ze.set(pn,Tn+2,ze.get(pn,Tn+2)-dn*Mn)),ze.set(pn,Tn,ze.get(pn,Tn)-dn),ze.set(pn,Tn+1,ze.get(pn,Tn+1)-dn*Zn);for(pn=xt;pn<=bt;pn++)dn=hr*Ie.get(pn,Tn)+vr*Ie.get(pn,Tn+1),Xa&&(dn=dn+rr*Ie.get(pn,Tn+2),Ie.set(pn,Tn+2,Ie.get(pn,Tn+2)-dn*Mn)),Ie.set(pn,Tn,Ie.get(pn,Tn)-dn),Ie.set(pn,Tn+1,Ie.get(pn,Tn+1)-dn*Zn)}}}if(cn!==0){for(Ze=pt-1;Ze>=0;Ze--)if(dn=Le[Ze],Zn=Ae[Ze],Zn===0)for(Hn=Ze,ze.set(Ze,Ze,1),pn=Ze-1;pn>=0;pn--){for(tr=ze.get(pn,pn)-dn,Mn=0,tn=Hn;tn<=Ze;tn++)Mn=Mn+ze.get(pn,tn)*ze.get(tn,Ze);if(Ae[pn]<0)rr=tr,er=Mn;else if(Hn=pn,Ae[pn]===0?ze.set(pn,Ze,tr!==0?-Mn/tr:-Mn/(Yt*cn)):(hr=ze.get(pn,pn+1),vr=ze.get(pn+1,pn),Zn=(Le[pn]-dn)*(Le[pn]-dn)+Ae[pn]*Ae[pn],br=(hr*er-rr*Mn)/Zn,ze.set(pn,Ze,br),ze.set(pn+1,Ze,Math.abs(hr)>Math.abs(rr)?(-Mn-tr*br)/hr:(-er-vr*br)/rr)),br=Math.abs(ze.get(pn,Ze)),Yt*br*br>1)for(tn=pn;tn<=Ze;tn++)ze.set(tn,Ze,ze.get(tn,Ze)/br)}else if(Zn<0)for(Hn=Ze-1,Math.abs(ze.get(Ze,Ze-1))>Math.abs(ze.get(Ze-1,Ze))?(ze.set(Ze-1,Ze-1,Zn/ze.get(Ze,Ze-1)),ze.set(Ze-1,Ze,-(ze.get(Ze,Ze)-dn)/ze.get(Ze,Ze-1))):($a=ar(0,-ze.get(Ze-1,Ze),ze.get(Ze-1,Ze-1)-dn,Zn),ze.set(Ze-1,Ze-1,$a[0]),ze.set(Ze-1,Ze,$a[1])),ze.set(Ze,Ze-1,0),ze.set(Ze,Ze,1),pn=Ze-2;pn>=0;pn--){for(Bn=0,xr=0,tn=Hn;tn<=Ze;tn++)Bn=Bn+ze.get(pn,tn)*ze.get(tn,Ze-1),xr=xr+ze.get(pn,tn)*ze.get(tn,Ze);if(tr=ze.get(pn,pn)-dn,Ae[pn]<0)rr=tr,Mn=Bn,er=xr;else if(Hn=pn,Ae[pn]===0?($a=ar(-Bn,-xr,tr,Zn),ze.set(pn,Ze-1,$a[0]),ze.set(pn,Ze,$a[1])):(hr=ze.get(pn,pn+1),vr=ze.get(pn+1,pn),Jn=(Le[pn]-dn)*(Le[pn]-dn)+Ae[pn]*Ae[pn]-Zn*Zn,Nr=(Le[pn]-dn)*2*Zn,Jn===0&&Nr===0&&(Jn=Yt*cn*(Math.abs(tr)+Math.abs(Zn)+Math.abs(hr)+Math.abs(vr)+Math.abs(rr))),$a=ar(hr*Mn-rr*Bn+Zn*xr,hr*er-rr*xr-Zn*Bn,Jn,Nr),ze.set(pn,Ze-1,$a[0]),ze.set(pn,Ze,$a[1]),Math.abs(hr)>Math.abs(rr)+Math.abs(Zn)?(ze.set(pn+1,Ze-1,(-Bn-tr*ze.get(pn,Ze-1)+Zn*ze.get(pn,Ze))/hr),ze.set(pn+1,Ze,(-xr-tr*ze.get(pn,Ze)-Zn*ze.get(pn,Ze-1))/hr)):($a=ar(-Mn-vr*ze.get(pn,Ze-1),-er-vr*ze.get(pn,Ze),rr,Zn),ze.set(pn+1,Ze-1,$a[0]),ze.set(pn+1,Ze,$a[1]))),br=Math.max(Math.abs(ze.get(pn,Ze-1)),Math.abs(ze.get(pn,Ze))),Yt*br*br>1)for(tn=pn;tn<=Ze;tn++)ze.set(tn,Ze-1,ze.get(tn,Ze-1)/br),ze.set(tn,Ze,ze.get(tn,Ze)/br)}for(pn=0;pn<pt;pn++)if(pn<xt||pn>bt)for(tn=pn;tn<pt;tn++)Ie.set(pn,tn,ze.get(pn,tn));for(tn=pt-1;tn>=xt;tn--)for(pn=xt;pn<=bt;pn++){for(rr=0,Tn=xt;Tn<=Math.min(tn,bt);Tn++)rr=rr+Ie.get(pn,Tn)*ze.get(Tn,tn);Ie.set(pn,tn,rr)}}}function ar(pt,Ae,Le,Ie){let ze,Ze;return Math.abs(Le)>Math.abs(Ie)?(ze=Ie/Le,Ze=Le+ze*Ie,[(pt+ze*Ae)/Ze,(Ae-ze*pt)/Ze]):(ze=Le/Ie,Ze=Ie+ze*Le,[(ze*pt+Ae)/Ze,(ze*Ae-pt)/Ze])}class lr{constructor(Ae){if(Ae=jn.checkMatrix(Ae),!Ae.isSymmetric())throw new Error("Matrix is not symmetric");let Le=Ae,Ie=Le.rows,ze=new yt(Ie,Ie),Ze=!0,xt,bt,Yt;for(bt=0;bt<Ie;bt++){let Ht=0;for(Yt=0;Yt<bt;Yt++){let cn=0;for(xt=0;xt<Yt;xt++)cn+=ze.get(Yt,xt)*ze.get(bt,xt);cn=(Le.get(bt,Yt)-cn)/ze.get(Yt,Yt),ze.set(bt,Yt,cn),Ht=Ht+cn*cn}for(Ht=Le.get(bt,bt)-Ht,Ze&&(Ze=Ht>0),ze.set(bt,bt,Math.sqrt(Math.max(Ht,0))),Yt=bt+1;Yt<Ie;Yt++)ze.set(bt,Yt,0)}this.L=ze,this.positiveDefinite=Ze}isPositiveDefinite(){return this.positiveDefinite}solve(Ae){Ae=jn.checkMatrix(Ae);let Le=this.L,Ie=Le.rows;if(Ae.rows!==Ie)throw new Error("Matrix dimensions do not match");if(this.isPositiveDefinite()===!1)throw new Error("Matrix is not positive definite");let ze=Ae.columns,Ze=Ae.clone(),xt,bt,Yt;for(Yt=0;Yt<Ie;Yt++)for(bt=0;bt<ze;bt++){for(xt=0;xt<Yt;xt++)Ze.set(Yt,bt,Ze.get(Yt,bt)-Ze.get(xt,bt)*Le.get(Yt,xt));Ze.set(Yt,bt,Ze.get(Yt,bt)/Le.get(Yt,Yt))}for(Yt=Ie-1;Yt>=0;Yt--)for(bt=0;bt<ze;bt++){for(xt=Yt+1;xt<Ie;xt++)Ze.set(Yt,bt,Ze.get(Yt,bt)-Ze.get(xt,bt)*Le.get(xt,Yt));Ze.set(Yt,bt,Ze.get(Yt,bt)/Le.get(Yt,Yt))}return Ze}get lowerTriangularMatrix(){return this.L}}class Fr{constructor(Ae,Le={}){Ae=jn.checkMatrix(Ae);let{Y:Ie}=Le;const{scaleScores:ze=!1,maxIterations:Ze=1e3,terminationCriteria:xt=1e-10}=Le;let bt;if(Ie){if(ee.isAnyArray(Ie)&&typeof Ie[0]=="number"?Ie=yt.columnVector(Ie):Ie=jn.checkMatrix(Ie),Ie.rows!==Ae.rows)throw new Error("Y should have the same number of rows as X");bt=Ie.getColumnVector(0)}else bt=Ae.getColumnVector(0);let Yt=1,Ht,cn,dn,Zn;for(let Mn=0;Mn<Ze&&Yt>xt;Mn++)dn=Ae.transpose().mmul(bt).div(bt.transpose().mmul(bt).get(0,0)),dn=dn.div(dn.norm()),Ht=Ae.mmul(dn).div(dn.transpose().mmul(dn).get(0,0)),Mn>0&&(Yt=Ht.clone().sub(Zn).pow(2).sum()),Zn=Ht.clone(),Ie?(cn=Ie.transpose().mmul(Ht).div(Ht.transpose().mmul(Ht).get(0,0)),cn=cn.div(cn.norm()),bt=Ie.mmul(cn).div(cn.transpose().mmul(cn).get(0,0))):bt=Ht;if(Ie){let Mn=Ae.transpose().mmul(Ht).div(Ht.transpose().mmul(Ht).get(0,0));Mn=Mn.div(Mn.norm());let er=Ae.clone().sub(Ht.clone().mmul(Mn.transpose())),rr=bt.transpose().mmul(Ht).div(Ht.transpose().mmul(Ht).get(0,0)),mr=Ie.clone().sub(Ht.clone().mulS(rr.get(0,0)).mmul(cn.transpose()));this.t=Ht,this.p=Mn.transpose(),this.w=dn.transpose(),this.q=cn,this.u=bt,this.s=Ht.transpose().mmul(Ht),this.xResidual=er,this.yResidual=mr,this.betas=rr}else 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ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.sqrt(this.get(Ie,ze)));return this},pt.sqrt=function(Ie){return new Ae(Ie).sqrt()},pt.prototype.tan=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.tan(this.get(Ie,ze)));return this},pt.tan=function(Ie){return new Ae(Ie).tan()},pt.prototype.tanh=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.tanh(this.get(Ie,ze)));return this},pt.tanh=function(Ie){return new Ae(Ie).tanh()},pt.prototype.trunc=function(){for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.set(Ie,ze,Math.trunc(this.get(Ie,ze)));return this},pt.trunc=function(Ie){return new Ae(Ie).trunc()},pt.pow=function(Ie,ze){return new Ae(Ie).pow(ze)},pt.prototype.pow=function(Ie){return typeof Ie=="number"?this.powS(Ie):this.powM(Ie)},pt.prototype.powS=function(Ie){for(let ze=0;ze<this.rows;ze++)for(let Ze=0;Ze<this.columns;Ze++)this.set(ze,Ze,Se(this.get(ze,Ze),Ie));return this},pt.prototype.powM=function(Ie){if(Ie=Ae.checkMatrix(Ie),this.rows!==Ie.rows||this.columns!==Ie.columns)throw new RangeError("Matrices dimensions must be equal");for(let ze=0;ze<this.rows;ze++)for(let Ze=0;Ze<this.columns;Ze++)this.set(ze,Ze,Se(this.get(ze,Ze),Ie.get(ze,Ze)));return this}}function De(pt,Ae,Le){let Ie=Le?pt.rows:pt.rows-1;if(Ae<0||Ae>Ie)throw new RangeError("Row index out of range")}function Re(pt,Ae,Le){let Ie=Le?pt.columns:pt.columns-1;if(Ae<0||Ae>Ie)throw new RangeError("Column index out of range")}function Be(pt,Ae){if(Ae.to1DArray&&(Ae=Ae.to1DArray()),Ae.length!==pt.columns)throw new RangeError("vector size must be the same as the number of columns");return Ae}function Ue(pt,Ae){if(Ae.to1DArray&&(Ae=Ae.to1DArray()),Ae.length!==pt.rows)throw new RangeError("vector size must be the same as the number of rows");return Ae}function Ge(pt,Ae){if(!ee.isAnyArray(Ae))throw new TypeError("row indices must be an array");for(let Le=0;Le<Ae.length;Le++)if(Ae[Le]<0||Ae[Le]>=pt.rows)throw new RangeError("row indices are out of range")}function Xe(pt,Ae){if(!ee.isAnyArray(Ae))throw new TypeError("column indices must be an array");for(let Le=0;Le<Ae.length;Le++)if(Ae[Le]<0||Ae[Le]>=pt.columns)throw new RangeError("column indices are out of range")}function Ye(pt,Ae,Le,Ie,ze){if(arguments.length!==5)throw new RangeError("expected 4 arguments");if($e("startRow",Ae),$e("endRow",Le),$e("startColumn",Ie),$e("endColumn",ze),Ae>Le||Ie>ze||Ae<0||Ae>=pt.rows||Le<0||Le>=pt.rows||Ie<0||Ie>=pt.columns||ze<0||ze>=pt.columns)throw new RangeError("Submatrix indices are out of range")}function nt(pt,Ae=0){let Le=[];for(let Ie=0;Ie<pt;Ie++)Le.push(Ae);return Le}function $e(pt,Ae){if(typeof Ae!="number")throw new TypeError(`${pt} must be a number`)}function qe(pt){if(pt.isEmpty())throw new Error("Empty matrix has no elements to index")}function st(pt){let Ae=nt(pt.rows);for(let Le=0;Le<pt.rows;++Le)for(let Ie=0;Ie<pt.columns;++Ie)Ae[Le]+=pt.get(Le,Ie);return Ae}function at(pt){let Ae=nt(pt.columns);for(let Le=0;Le<pt.rows;++Le)for(let Ie=0;Ie<pt.columns;++Ie)Ae[Ie]+=pt.get(Le,Ie);return Ae}function ct(pt){let Ae=0;for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)Ae+=pt.get(Le,Ie);return Ae}function tt(pt){let Ae=nt(pt.rows,1);for(let Le=0;Le<pt.rows;++Le)for(let Ie=0;Ie<pt.columns;++Ie)Ae[Le]*=pt.get(Le,Ie);return Ae}function dt(pt){let Ae=nt(pt.columns,1);for(let Le=0;Le<pt.rows;++Le)for(let Ie=0;Ie<pt.columns;++Ie)Ae[Ie]*=pt.get(Le,Ie);return Ae}function At(pt){let Ae=1;for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)Ae*=pt.get(Le,Ie);return Ae}function mt(pt,Ae,Le){const Ie=pt.rows,ze=pt.columns,Ze=[];for(let xt=0;xt<Ie;xt++){let bt=0,Yt=0,Ht=0;for(let cn=0;cn<ze;cn++)Ht=pt.get(xt,cn)-Le[xt],bt+=Ht,Yt+=Ht*Ht;Ae?Ze.push((Yt-bt*bt/ze)/(ze-1)):Ze.push((Yt-bt*bt/ze)/ze)}return Ze}function ht(pt,Ae,Le){const Ie=pt.rows,ze=pt.columns,Ze=[];for(let xt=0;xt<ze;xt++){let bt=0,Yt=0,Ht=0;for(let cn=0;cn<Ie;cn++)Ht=pt.get(cn,xt)-Le[xt],bt+=Ht,Yt+=Ht*Ht;Ae?Ze.push((Yt-bt*bt/Ie)/(Ie-1)):Ze.push((Yt-bt*bt/Ie)/Ie)}return Ze}function vt(pt,Ae,Le){const Ie=pt.rows,ze=pt.columns,Ze=Ie*ze;let xt=0,bt=0,Yt=0;for(let Ht=0;Ht<Ie;Ht++)for(let cn=0;cn<ze;cn++)Yt=pt.get(Ht,cn)-Le,xt+=Yt,bt+=Yt*Yt;return Ae?(bt-xt*xt/Ze)/(Ze-1):(bt-xt*xt/Ze)/Ze}function jt(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)-Ae[Le])}function qt(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)-Ae[Ie])}function en(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)-Ae)}function mn(pt){const Ae=[];for(let Le=0;Le<pt.rows;Le++){let Ie=0;for(let ze=0;ze<pt.columns;ze++)Ie+=Se(pt.get(Le,ze),2)/(pt.columns-1);Ae.push(Math.sqrt(Ie))}return Ae}function Ot(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)/Ae[Le])}function an(pt){const Ae=[];for(let Le=0;Le<pt.columns;Le++){let Ie=0;for(let ze=0;ze<pt.rows;ze++)Ie+=Se(pt.get(ze,Le),2)/(pt.rows-1);Ae.push(Math.sqrt(Ie))}return Ae}function nn(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)/Ae[Ie])}function Dn(pt){const Ae=pt.size-1;let Le=0;for(let Ie=0;Ie<pt.columns;Ie++)for(let ze=0;ze<pt.rows;ze++)Le+=Se(pt.get(ze,Ie),2)/Ae;return Math.sqrt(Le)}function Nn(pt,Ae){for(let Le=0;Le<pt.rows;Le++)for(let Ie=0;Ie<pt.columns;Ie++)pt.set(Le,Ie,pt.get(Le,Ie)/Ae)}class sn{static from1DArray(Ae,Le,Ie){if(Ae*Le!==Ie.length)throw new RangeError("data length does not match given dimensions");let Ze=new yt(Ae,Le);for(let xt=0;xt<Ae;xt++)for(let bt=0;bt<Le;bt++)Ze.set(xt,bt,Ie[xt*Le+bt]);return Ze}static rowVector(Ae){let Le=new yt(1,Ae.length);for(let Ie=0;Ie<Ae.length;Ie++)Le.set(0,Ie,Ae[Ie]);return Le}static columnVector(Ae){let Le=new yt(Ae.length,1);for(let Ie=0;Ie<Ae.length;Ie++)Le.set(Ie,0,Ae[Ie]);return Le}static zeros(Ae,Le){return new yt(Ae,Le)}static ones(Ae,Le){return new yt(Ae,Le).fill(1)}static rand(Ae,Le,Ie={}){if(typeof Ie!="object")throw new TypeError("options must be an object");const{random:ze=Math.random}=Ie;let Ze=new yt(Ae,Le);for(let xt=0;xt<Ae;xt++)for(let bt=0;bt<Le;bt++)Ze.set(xt,bt,ze());return Ze}static randInt(Ae,Le,Ie={}){if(typeof Ie!="object")throw new TypeError("options must be an object");const{min:ze=0,max:Ze=1e3,random:xt=Math.random}=Ie;if(!Number.isInteger(ze))throw new TypeError("min must be an integer");if(!Number.isInteger(Ze))throw new TypeError("max must be an integer");if(ze>=Ze)throw new RangeError("min must be smaller than max");let bt=Ze-ze,Yt=new yt(Ae,Le);for(let Ht=0;Ht<Ae;Ht++)for(let cn=0;cn<Le;cn++){let dn=ze+Math.round(xt()*bt);Yt.set(Ht,cn,dn)}return Yt}static eye(Ae,Le,Ie){Le===void 0&&(Le=Ae),Ie===void 0&&(Ie=1);let ze=Math.min(Ae,Le),Ze=this.zeros(Ae,Le);for(let xt=0;xt<ze;xt++)Ze.set(xt,xt,Ie);return Ze}static diag(Ae,Le,Ie){let ze=Ae.length;Le===void 0&&(Le=ze),Ie===void 0&&(Ie=Le);let Ze=Math.min(ze,Le,Ie),xt=this.zeros(Le,Ie);for(let bt=0;bt<Ze;bt++)xt.set(bt,bt,Ae[bt]);return xt}static min(Ae,Le){Ae=this.checkMatrix(Ae),Le=this.checkMatrix(Le);let Ie=Ae.rows,ze=Ae.columns,Ze=new yt(Ie,ze);for(let xt=0;xt<Ie;xt++)for(let bt=0;bt<ze;bt++)Ze.set(xt,bt,Math.min(Ae.get(xt,bt),Le.get(xt,bt)));return Ze}static max(Ae,Le){Ae=this.checkMatrix(Ae),Le=this.checkMatrix(Le);let Ie=Ae.rows,ze=Ae.columns,Ze=new this(Ie,ze);for(let xt=0;xt<Ie;xt++)for(let bt=0;bt<ze;bt++)Ze.set(xt,bt,Math.max(Ae.get(xt,bt),Le.get(xt,bt)));return Ze}static checkMatrix(Ae){return sn.isMatrix(Ae)?Ae:new yt(Ae)}static isMatrix(Ae){return Ae!=null&&Ae.klass==="Matrix"}get size(){return this.rows*this.columns}apply(Ae){if(typeof Ae!="function")throw new TypeError("callback must be a function");for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)Ae.call(this,Le,Ie);return this}to1DArray(){let Ae=[];for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)Ae.push(this.get(Le,Ie));return Ae}to2DArray(){let Ae=[];for(let Le=0;Le<this.rows;Le++){Ae.push([]);for(let Ie=0;Ie<this.columns;Ie++)Ae[Le].push(this.get(Le,Ie))}return Ae}toJSON(){return this.to2DArray()}isRowVector(){return this.rows===1}isColumnVector(){return this.columns===1}isVector(){return this.rows===1||this.columns===1}isSquare(){return this.rows===this.columns}isEmpty(){return this.rows===0||this.columns===0}isSymmetric(){if(this.isSquare()){for(let Ae=0;Ae<this.rows;Ae++)for(let Le=0;Le<=Ae;Le++)if(this.get(Ae,Le)!==this.get(Le,Ae))return!1;return!0}return!1}isDistance(){if(!this.isSymmetric())return!1;for(let Ae=0;Ae<this.rows;Ae++)if(this.get(Ae,Ae)!==0)return!1;return!0}isEchelonForm(){let Ae=0,Le=0,Ie=-1,ze=!0,Ze=!1;for(;Ae<this.rows&&ze;){for(Le=0,Ze=!1;Le<this.columns&&Ze===!1;)this.get(Ae,Le)===0?Le++:this.get(Ae,Le)===1&&Le>Ie?(Ze=!0,Ie=Le):(ze=!1,Ze=!0);Ae++}return ze}isReducedEchelonForm(){let Ae=0,Le=0,Ie=-1,ze=!0,Ze=!1;for(;Ae<this.rows&&ze;){for(Le=0,Ze=!1;Le<this.columns&&Ze===!1;)this.get(Ae,Le)===0?Le++:this.get(Ae,Le)===1&&Le>Ie?(Ze=!0,Ie=Le):(ze=!1,Ze=!0);for(let xt=Le+1;xt<this.rows;xt++)this.get(Ae,xt)!==0&&(ze=!1);Ae++}return ze}echelonForm(){let Ae=this.clone(),Le=0,Ie=0;for(;Le<Ae.rows&&Ie<Ae.columns;){let ze=Le;for(let Ze=Le;Ze<Ae.rows;Ze++)Ae.get(Ze,Ie)>Ae.get(ze,Ie)&&(ze=Ze);if(Ae.get(ze,Ie)===0)Ie++;else{Ae.swapRows(Le,ze);let Ze=Ae.get(Le,Ie);for(let xt=Ie;xt<Ae.columns;xt++)Ae.set(Le,xt,Ae.get(Le,xt)/Ze);for(let xt=Le+1;xt<Ae.rows;xt++){let bt=Ae.get(xt,Ie)/Ae.get(Le,Ie);Ae.set(xt,Ie,0);for(let Yt=Ie+1;Yt<Ae.columns;Yt++)Ae.set(xt,Yt,Ae.get(xt,Yt)-Ae.get(Le,Yt)*bt)}Le++,Ie++}}return Ae}reducedEchelonForm(){let Ae=this.echelonForm(),Le=Ae.columns,Ie=Ae.rows,ze=Ie-1;for(;ze>=0;)if(Ae.maxRow(ze)===0)ze--;else{let Ze=0,xt=!1;for(;Ze<Ie&&xt===!1;)Ae.get(ze,Ze)===1?xt=!0:Ze++;for(let bt=0;bt<ze;bt++){let Yt=Ae.get(bt,Ze);for(let Ht=Ze;Ht<Le;Ht++){let cn=Ae.get(bt,Ht)-Yt*Ae.get(ze,Ht);Ae.set(bt,Ht,cn)}}ze--}return Ae}set(){throw new Error("set method is unimplemented")}get(){throw new Error("get method is unimplemented")}repeat(Ae={}){if(typeof Ae!="object")throw new TypeError("options must be an object");const{rows:Le=1,columns:Ie=1}=Ae;if(!Number.isInteger(Le)||Le<=0)throw new TypeError("rows must be a positive integer");if(!Number.isInteger(Ie)||Ie<=0)throw new TypeError("columns must be a positive integer");let ze=new yt(this.rows*Le,this.columns*Ie);for(let Ze=0;Ze<Le;Ze++)for(let xt=0;xt<Ie;xt++)ze.setSubMatrix(this,this.rows*Ze,this.columns*xt);return ze}fill(Ae){for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,Ae);return this}neg(){return this.mulS(-1)}getRow(Ae){De(this,Ae);let Le=[];for(let Ie=0;Ie<this.columns;Ie++)Le.push(this.get(Ae,Ie));return Le}getRowVector(Ae){return yt.rowVector(this.getRow(Ae))}setRow(Ae,Le){De(this,Ae),Le=Be(this,Le);for(let Ie=0;Ie<this.columns;Ie++)this.set(Ae,Ie,Le[Ie]);return this}swapRows(Ae,Le){De(this,Ae),De(this,Le);for(let Ie=0;Ie<this.columns;Ie++){let ze=this.get(Ae,Ie);this.set(Ae,Ie,this.get(Le,Ie)),this.set(Le,Ie,ze)}return this}getColumn(Ae){Re(this,Ae);let Le=[];for(let Ie=0;Ie<this.rows;Ie++)Le.push(this.get(Ie,Ae));return Le}getColumnVector(Ae){return yt.columnVector(this.getColumn(Ae))}setColumn(Ae,Le){Re(this,Ae),Le=Ue(this,Le);for(let Ie=0;Ie<this.rows;Ie++)this.set(Ie,Ae,Le[Ie]);return this}swapColumns(Ae,Le){Re(this,Ae),Re(this,Le);for(let Ie=0;Ie<this.rows;Ie++){let ze=this.get(Ie,Ae);this.set(Ie,Ae,this.get(Ie,Le)),this.set(Ie,Le,ze)}return this}addRowVector(Ae){Ae=Be(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)+Ae[Ie]);return this}subRowVector(Ae){Ae=Be(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)-Ae[Ie]);return this}mulRowVector(Ae){Ae=Be(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)*Ae[Ie]);return this}divRowVector(Ae){Ae=Be(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)/Ae[Ie]);return this}addColumnVector(Ae){Ae=Ue(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)+Ae[Le]);return this}subColumnVector(Ae){Ae=Ue(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)-Ae[Le]);return this}mulColumnVector(Ae){Ae=Ue(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)*Ae[Le]);return this}divColumnVector(Ae){Ae=Ue(this,Ae);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)this.set(Le,Ie,this.get(Le,Ie)/Ae[Le]);return this}mulRow(Ae,Le){De(this,Ae);for(let Ie=0;Ie<this.columns;Ie++)this.set(Ae,Ie,this.get(Ae,Ie)*Le);return this}mulColumn(Ae,Le){Re(this,Ae);for(let Ie=0;Ie<this.rows;Ie++)this.set(Ie,Ae,this.get(Ie,Ae)*Le);return this}max(Ae){if(this.isEmpty())return NaN;switch(Ae){case"row":{const Le=new Array(this.rows).fill(Number.NEGATIVE_INFINITY);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)>Le[Ie]&&(Le[Ie]=this.get(Ie,ze));return Le}case"column":{const Le=new Array(this.columns).fill(Number.NEGATIVE_INFINITY);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)>Le[ze]&&(Le[ze]=this.get(Ie,ze));return Le}case void 0:{let Le=this.get(0,0);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)>Le&&(Le=this.get(Ie,ze));return Le}default:throw new Error(`invalid option: ${Ae}`)}}maxIndex(){qe(this);let Ae=this.get(0,0),Le=[0,0];for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)>Ae&&(Ae=this.get(Ie,ze),Le[0]=Ie,Le[1]=ze);return Le}min(Ae){if(this.isEmpty())return NaN;switch(Ae){case"row":{const Le=new Array(this.rows).fill(Number.POSITIVE_INFINITY);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)<Le[Ie]&&(Le[Ie]=this.get(Ie,ze));return Le}case"column":{const Le=new Array(this.columns).fill(Number.POSITIVE_INFINITY);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)<Le[ze]&&(Le[ze]=this.get(Ie,ze));return Le}case void 0:{let Le=this.get(0,0);for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)<Le&&(Le=this.get(Ie,ze));return Le}default:throw new Error(`invalid option: ${Ae}`)}}minIndex(){qe(this);let Ae=this.get(0,0),Le=[0,0];for(let Ie=0;Ie<this.rows;Ie++)for(let ze=0;ze<this.columns;ze++)this.get(Ie,ze)<Ae&&(Ae=this.get(Ie,ze),Le[0]=Ie,Le[1]=ze);return Le}maxRow(Ae){if(De(this,Ae),this.isEmpty())return NaN;let Le=this.get(Ae,0);for(let Ie=1;Ie<this.columns;Ie++)this.get(Ae,Ie)>Le&&(Le=this.get(Ae,Ie));return Le}maxRowIndex(Ae){De(this,Ae),qe(this);let Le=this.get(Ae,0),Ie=[Ae,0];for(let ze=1;ze<this.columns;ze++)this.get(Ae,ze)>Le&&(Le=this.get(Ae,ze),Ie[1]=ze);return Ie}minRow(Ae){if(De(this,Ae),this.isEmpty())return NaN;let Le=this.get(Ae,0);for(let Ie=1;Ie<this.columns;Ie++)this.get(Ae,Ie)<Le&&(Le=this.get(Ae,Ie));return Le}minRowIndex(Ae){De(this,Ae),qe(this);let Le=this.get(Ae,0),Ie=[Ae,0];for(let ze=1;ze<this.columns;ze++)this.get(Ae,ze)<Le&&(Le=this.get(Ae,ze),Ie[1]=ze);return Ie}maxColumn(Ae){if(Re(this,Ae),this.isEmpty())return NaN;let Le=this.get(0,Ae);for(let Ie=1;Ie<this.rows;Ie++)this.get(Ie,Ae)>Le&&(Le=this.get(Ie,Ae));return Le}maxColumnIndex(Ae){Re(this,Ae),qe(this);let Le=this.get(0,Ae),Ie=[0,Ae];for(let ze=1;ze<this.rows;ze++)this.get(ze,Ae)>Le&&(Le=this.get(ze,Ae),Ie[0]=ze);return Ie}minColumn(Ae){if(Re(this,Ae),this.isEmpty())return NaN;let Le=this.get(0,Ae);for(let Ie=1;Ie<this.rows;Ie++)this.get(Ie,Ae)<Le&&(Le=this.get(Ie,Ae));return Le}minColumnIndex(Ae){Re(this,Ae),qe(this);let Le=this.get(0,Ae),Ie=[0,Ae];for(let ze=1;ze<this.rows;ze++)this.get(ze,Ae)<Le&&(Le=this.get(ze,Ae),Ie[0]=ze);return Ie}diag(){let Ae=Math.min(this.rows,this.columns),Le=[];for(let Ie=0;Ie<Ae;Ie++)Le.push(this.get(Ie,Ie));return Le}norm(Ae="frobenius"){switch(Ae){case"max":return this.max();case"frobenius":return Math.sqrt(this.dot(this));default:throw new RangeError(`unknown norm type: ${Ae}`)}}cumulativeSum(){let Ae=0;for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)Ae+=this.get(Le,Ie),this.set(Le,Ie,Ae);return this}dot(Ae){sn.isMatrix(Ae)&&(Ae=Ae.to1DArray());let Le=this.to1DArray();if(Le.length!==Ae.length)throw new RangeError("vectors do not have the same size");let Ie=0;for(let ze=0;ze<Le.length;ze++)Ie+=Le[ze]*Ae[ze];return Ie}mmul(Ae){Ae=yt.checkMatrix(Ae);let Le=this.rows,Ie=this.columns,ze=Ae.columns,Ze=new yt(Le,ze),xt=new Float64Array(Ie);for(let bt=0;bt<ze;bt++){for(let Yt=0;Yt<Ie;Yt++)xt[Yt]=Ae.get(Yt,bt);for(let Yt=0;Yt<Le;Yt++){let Ht=0;for(let cn=0;cn<Ie;cn++)Ht+=this.get(Yt,cn)*xt[cn];Ze.set(Yt,bt,Ht)}}return Ze}mpow(Ae){if(!this.isSquare())throw new RangeError("Matrix must be square");if(!Number.isInteger(Ae)||Ae<0)throw new RangeError("Exponent must be a non-negative integer");let Le=yt.eye(this.rows),Ie=this;for(let ze=Ae;ze>=1;ze/=2)ze&1&&(Le=Le.mmul(Ie)),Ie=Ie.mmul(Ie);return Le}strassen2x2(Ae){Ae=yt.checkMatrix(Ae);let Le=new yt(2,2);const Ie=this.get(0,0),ze=Ae.get(0,0),Ze=this.get(0,1),xt=Ae.get(0,1),bt=this.get(1,0),Yt=Ae.get(1,0),Ht=this.get(1,1),cn=Ae.get(1,1),dn=(Ie+Ht)*(ze+cn),Zn=(bt+Ht)*ze,Mn=Ie*(xt-cn),er=Ht*(Yt-ze),rr=(Ie+Ze)*cn,mr=(bt-Ie)*(ze+xt),pn=(Ze-Ht)*(Yt+cn),tn=dn+er-rr+pn,Tn=Mn+rr,Hn=Zn+er,fr=dn-Zn+Mn+mr;return Le.set(0,0,tn),Le.set(0,1,Tn),Le.set(1,0,Hn),Le.set(1,1,fr),Le}strassen3x3(Ae){Ae=yt.checkMatrix(Ae);let Le=new yt(3,3);const Ie=this.get(0,0),ze=this.get(0,1),Ze=this.get(0,2),xt=this.get(1,0),bt=this.get(1,1),Yt=this.get(1,2),Ht=this.get(2,0),cn=this.get(2,1),dn=this.get(2,2),Zn=Ae.get(0,0),Mn=Ae.get(0,1),er=Ae.get(0,2),rr=Ae.get(1,0),mr=Ae.get(1,1),pn=Ae.get(1,2),tn=Ae.get(2,0),Tn=Ae.get(2,1),Hn=Ae.get(2,2),fr=(Ie+ze+Ze-xt-bt-cn-dn)*mr,br=(Ie-xt)*(-Mn+mr),tr=bt*(-Zn+Mn+rr-mr-pn-tn+Hn),hr=(-Ie+xt+bt)*(Zn-Mn+mr),vr=(xt+bt)*(-Zn+Mn),Bn=Ie*Zn,xr=(-Ie+Ht+cn)*(Zn-er+pn),Jn=(-Ie+Ht)*(er-pn),Nr=(Ht+cn)*(-Zn+er),Xa=(Ie+ze+Ze-bt-Yt-Ht-cn)*pn,$a=cn*(-Zn+er+rr-mr-pn-tn+Tn),ai=(-Ze+cn+dn)*(mr+tn-Tn),Zr=(Ze-dn)*(mr-Tn),ua=Ze*tn,Da=(cn+dn)*(-tn+Tn),sa=(-Ze+bt+Yt)*(pn+tn-Hn),Ja=(Ze-Yt)*(pn-Hn),Li=(bt+Yt)*(-tn+Hn),Na=ze*rr,Ti=Yt*Tn,ji=xt*er,Ao=Ht*Mn,uo=dn*Hn,Ts=Bn+ua+Na,zo=fr+hr+vr+Bn+ai+ua+Da,po=Bn+xr+Nr+Xa+ua+sa+Li,qo=br+tr+hr+Bn+ua+sa+Ja,Uo=br+hr+vr+Bn+Ti,Wo=ua+sa+Ja+Li+ji,Qr=Bn+xr+Jn+$a+ai+Zr+ua,jo=ai+Zr+ua+Da+Ao,Ds=Bn+xr+Jn+Nr+uo;return Le.set(0,0,Ts),Le.set(0,1,zo),Le.set(0,2,po),Le.set(1,0,qo),Le.set(1,1,Uo),Le.set(1,2,Wo),Le.set(2,0,Qr),Le.set(2,1,jo),Le.set(2,2,Ds),Le}mmulStrassen(Ae){Ae=yt.checkMatrix(Ae);let Le=this.clone(),Ie=Le.rows,ze=Le.columns,Ze=Ae.rows,xt=Ae.columns;ze!==Ze&&console.warn(`Multiplying ${Ie} x ${ze} and ${Ze} x ${xt} matrix: dimensions do not match.`);function bt(dn,Zn,Mn){let er=dn.rows,rr=dn.columns;if(er===Zn&&rr===Mn)return dn;{let mr=sn.zeros(Zn,Mn);return mr=mr.setSubMatrix(dn,0,0),mr}}let Yt=Math.max(Ie,Ze),Ht=Math.max(ze,xt);Le=bt(Le,Yt,Ht),Ae=bt(Ae,Yt,Ht);function cn(dn,Zn,Mn,er){if(Mn<=512||er<=512)return dn.mmul(Zn);Mn%2===1&&er%2===1?(dn=bt(dn,Mn+1,er+1),Zn=bt(Zn,Mn+1,er+1)):Mn%2===1?(dn=bt(dn,Mn+1,er),Zn=bt(Zn,Mn+1,er)):er%2===1&&(dn=bt(dn,Mn,er+1),Zn=bt(Zn,Mn,er+1));let rr=parseInt(dn.rows/2,10),mr=parseInt(dn.columns/2,10),pn=dn.subMatrix(0,rr-1,0,mr-1),tn=Zn.subMatrix(0,rr-1,0,mr-1),Tn=dn.subMatrix(0,rr-1,mr,dn.columns-1),Hn=Zn.subMatrix(0,rr-1,mr,Zn.columns-1),fr=dn.subMatrix(rr,dn.rows-1,0,mr-1),br=Zn.subMatrix(rr,Zn.rows-1,0,mr-1),tr=dn.subMatrix(rr,dn.rows-1,mr,dn.columns-1),hr=Zn.subMatrix(rr,Zn.rows-1,mr,Zn.columns-1),vr=cn(sn.add(pn,tr),sn.add(tn,hr),rr,mr),Bn=cn(sn.add(fr,tr),tn,rr,mr),xr=cn(pn,sn.sub(Hn,hr),rr,mr),Jn=cn(tr,sn.sub(br,tn),rr,mr),Nr=cn(sn.add(pn,Tn),hr,rr,mr),Xa=cn(sn.sub(fr,pn),sn.add(tn,Hn),rr,mr),$a=cn(sn.sub(Tn,tr),sn.add(br,hr),rr,mr),ai=sn.add(vr,Jn);ai.sub(Nr),ai.add($a);let Zr=sn.add(xr,Nr),ua=sn.add(Bn,Jn),Da=sn.sub(vr,Bn);Da.add(xr),Da.add(Xa);let sa=sn.zeros(2*ai.rows,2*ai.columns);return sa=sa.setSubMatrix(ai,0,0),sa=sa.setSubMatrix(Zr,ai.rows,0),sa=sa.setSubMatrix(ua,0,ai.columns),sa=sa.setSubMatrix(Da,ai.rows,ai.columns),sa.subMatrix(0,Mn-1,0,er-1)}return cn(Le,Ae,Yt,Ht)}scaleRows(Ae={}){if(typeof Ae!="object")throw new TypeError("options must be an object");const{min:Le=0,max:Ie=1}=Ae;if(!Number.isFinite(Le))throw new TypeError("min must be a number");if(!Number.isFinite(Ie))throw new TypeError("max must be a number");if(Le>=Ie)throw new RangeError("min must be smaller than max");let ze=new yt(this.rows,this.columns);for(let Ze=0;Ze<this.rows;Ze++){const xt=this.getRow(Ze);xt.length>0&&ne(xt,{min:Le,max:Ie,output:xt}),ze.setRow(Ze,xt)}return ze}scaleColumns(Ae={}){if(typeof Ae!="object")throw new TypeError("options must be an object");const{min:Le=0,max:Ie=1}=Ae;if(!Number.isFinite(Le))throw new TypeError("min must be a number");if(!Number.isFinite(Ie))throw new TypeError("max must be a number");if(Le>=Ie)throw new RangeError("min must be smaller than max");let ze=new yt(this.rows,this.columns);for(let Ze=0;Ze<this.columns;Ze++){const xt=this.getColumn(Ze);xt.length&&ne(xt,{min:Le,max:Ie,output:xt}),ze.setColumn(Ze,xt)}return ze}flipRows(){const Ae=Math.ceil(this.columns/2);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<Ae;Ie++){let ze=this.get(Le,Ie),Ze=this.get(Le,this.columns-1-Ie);this.set(Le,Ie,Ze),this.set(Le,this.columns-1-Ie,ze)}return this}flipColumns(){const Ae=Math.ceil(this.rows/2);for(let Le=0;Le<this.columns;Le++)for(let Ie=0;Ie<Ae;Ie++){let ze=this.get(Ie,Le),Ze=this.get(this.rows-1-Ie,Le);this.set(Ie,Le,Ze),this.set(this.rows-1-Ie,Le,ze)}return this}kroneckerProduct(Ae){Ae=yt.checkMatrix(Ae);let Le=this.rows,Ie=this.columns,ze=Ae.rows,Ze=Ae.columns,xt=new yt(Le*ze,Ie*Ze);for(let bt=0;bt<Le;bt++)for(let Yt=0;Yt<Ie;Yt++)for(let Ht=0;Ht<ze;Ht++)for(let cn=0;cn<Ze;cn++)xt.set(ze*bt+Ht,Ze*Yt+cn,this.get(bt,Yt)*Ae.get(Ht,cn));return xt}kroneckerSum(Ae){if(Ae=yt.checkMatrix(Ae),!this.isSquare()||!Ae.isSquare())throw new Error("Kronecker Sum needs two Square Matrices");let Le=this.rows,Ie=Ae.rows,ze=this.kroneckerProduct(yt.eye(Ie,Ie)),Ze=yt.eye(Le,Le).kroneckerProduct(Ae);return ze.add(Ze)}transpose(){let Ae=new yt(this.columns,this.rows);for(let Le=0;Le<this.rows;Le++)for(let Ie=0;Ie<this.columns;Ie++)Ae.set(Ie,Le,this.get(Le,Ie));return Ae}sortRows(Ae=fn){for(let Le=0;Le<this.rows;Le++)this.setRow(Le,this.getRow(Le).sort(Ae));return this}sortColumns(Ae=fn){for(let Le=0;Le<this.columns;Le++)this.setColumn(Le,this.getColumn(Le).sort(Ae));return this}subMatrix(Ae,Le,Ie,ze){Ye(this,Ae,Le,Ie,ze);let Ze=new yt(Le-Ae+1,ze-Ie+1);for(let xt=Ae;xt<=Le;xt++)for(let bt=Ie;bt<=ze;bt++)Ze.set(xt-Ae,bt-Ie,this.get(xt,bt));return Ze}subMatrixRow(Ae,Le,Ie){if(Le===void 0&&(Le=0),Ie===void 0&&(Ie=this.columns-1),Le>Ie||Le<0||Le>=this.columns||Ie<0||Ie>=this.columns)throw new RangeError("Argument out of range");let ze=new yt(Ae.length,Ie-Le+1);for(let Ze=0;Ze<Ae.length;Ze++)for(let xt=Le;xt<=Ie;xt++){if(Ae[Ze]<0||Ae[Ze]>=this.rows)throw new RangeError(`Row index out of range: ${Ae[Ze]}`);ze.set(Ze,xt-Le,this.get(Ae[Ze],xt))}return ze}subMatrixColumn(Ae,Le,Ie){if(Le===void 0&&(Le=0),Ie===void 0&&(Ie=this.rows-1),Le>Ie||Le<0||Le>=this.rows||Ie<0||Ie>=this.rows)throw new RangeError("Argument out of range");let ze=new yt(Ie-Le+1,Ae.length);for(let Ze=0;Ze<Ae.length;Ze++)for(let xt=Le;xt<=Ie;xt++){if(Ae[Ze]<0||Ae[Ze]>=this.columns)throw new RangeError(`Column index out of range: ${Ae[Ze]}`);ze.set(xt-Le,Ze,this.get(xt,Ae[Ze]))}return ze}setSubMatrix(Ae,Le,Ie){if(Ae=yt.checkMatrix(Ae),Ae.isEmpty())return this;let ze=Le+Ae.rows-1,Ze=Ie+Ae.columns-1;Ye(this,Le,ze,Ie,Ze);for(let xt=0;xt<Ae.rows;xt++)for(let bt=0;bt<Ae.columns;bt++)this.set(Le+xt,Ie+bt,Ae.get(xt,bt));return this}selection(Ae,Le){Ge(this,Ae),Xe(this,Le);let Ie=new yt(Ae.length,Le.length);for(let ze=0;ze<Ae.length;ze++){let Ze=Ae[ze];for(let xt=0;xt<Le.length;xt++){let bt=Le[xt];Ie.set(ze,xt,this.get(Ze,bt))}}return Ie}trace(){let Ae=Math.min(this.rows,this.columns),Le=0;for(let Ie=0;Ie<Ae;Ie++)Le+=this.get(Ie,Ie);return Le}clone(){return this.constructor.copy(this,new yt(this.rows,this.columns))}static copy(Ae,Le){for(const[Ie,ze,Ze]of Ae.entries())Le.set(Ie,ze,Ze);return Le}sum(Ae){switch(Ae){case"row":return st(this);case"column":return at(this);case void 0:return ct(this);default:throw new Error(`invalid option: ${Ae}`)}}product(Ae){switch(Ae){case"row":return tt(this);case"column":return dt(this);case void 0:return At(this);default:throw new Error(`invalid option: ${Ae}`)}}mean(Ae){const Le=this.sum(Ae);switch(Ae){case"row":{for(let Ie=0;Ie<this.rows;Ie++)Le[Ie]/=this.columns;return Le}case"column":{for(let Ie=0;Ie<this.columns;Ie++)Le[Ie]/=this.rows;return Le}case void 0:return Le/this.size;default:throw new Error(`invalid option: ${Ae}`)}}variance(Ae,Le={}){if(typeof Ae=="object"&&(Le=Ae,Ae=void 0),typeof Le!="object")throw new TypeError("options must be an object");const{unbiased:Ie=!0,mean:ze=this.mean(Ae)}=Le;if(typeof Ie!="boolean")throw new TypeError("unbiased must be a boolean");switch(Ae){case"row":{if(!ee.isAnyArray(ze))throw new TypeError("mean must be an array");return mt(this,Ie,ze)}case"column":{if(!ee.isAnyArray(ze))throw new TypeError("mean must be an array");return ht(this,Ie,ze)}case void 0:{if(typeof ze!="number")throw new TypeError("mean must be a number");return vt(this,Ie,ze)}default:throw new Error(`invalid option: ${Ae}`)}}standardDeviation(Ae,Le){typeof Ae=="object"&&(Le=Ae,Ae=void 0);const Ie=this.variance(Ae,Le);if(Ae===void 0)return Math.sqrt(Ie);for(let ze=0;ze<Ie.length;ze++)Ie[ze]=Math.sqrt(Ie[ze]);return Ie}center(Ae,Le={}){if(typeof Ae=="object"&&(Le=Ae,Ae=void 0),typeof Le!="object")throw new TypeError("options must be an object");const{center:Ie=this.mean(Ae)}=Le;switch(Ae){case"row":{if(!ee.isAnyArray(Ie))throw new TypeError("center must be an array");return jt(this,Ie),this}case"column":{if(!ee.isAnyArray(Ie))throw new TypeError("center must be an array");return qt(this,Ie),this}case void 0:{if(typeof Ie!="number")throw new TypeError("center must be a number");return en(this,Ie),this}default:throw new Error(`invalid option: ${Ae}`)}}scale(Ae,Le={}){if(typeof Ae=="object"&&(Le=Ae,Ae=void 0),typeof Le!="object")throw new TypeError("options must be an object");let Ie=Le.scale;switch(Ae){case"row":{if(Ie===void 0)Ie=mn(this);else if(!ee.isAnyArray(Ie))throw new TypeError("scale must be an array");return Ot(this,Ie),this}case"column":{if(Ie===void 0)Ie=an(this);else if(!ee.isAnyArray(Ie))throw new TypeError("scale must be an array");return nn(this,Ie),this}case void 0:{if(Ie===void 0)Ie=Dn(this);else if(typeof Ie!="number")throw new TypeError("scale must be a number");return Nn(this,Ie),this}default:throw new Error(`invalid option: ${Ae}`)}}toString(Ae){return he(this,Ae)}[Symbol.iterator](){return this.entries()}*entries(){for(let Ae=0;Ae<this.rows;Ae++)for(let Le=0;Le<this.columns;Le++)yield[Ae,Le,this.get(Ae,Le)]}*values(){for(let Ae=0;Ae<this.rows;Ae++)for(let Le=0;Le<this.columns;Le++)yield this.get(Ae,Le)}}sn.prototype.klass="Matrix",typeof Symbol!="undefined"&&(sn.prototype[Symbol.for("nodejs.util.inspect.custom")]=ce);function fn(pt,Ae){return pt-Ae}function Kt(pt){return pt.every(Ae=>typeof Ae=="number")}sn.random=sn.rand,sn.randomInt=sn.randInt,sn.diagonal=sn.diag,sn.prototype.diagonal=sn.prototype.diag,sn.identity=sn.eye,sn.prototype.negate=sn.prototype.neg,sn.prototype.tensorProduct=sn.prototype.kroneckerProduct;const Tt=class wS extends sn{constructor(Ae,Le){if(super(),we(this,Ee),Ce(this,"data"),wS.isMatrix(Ae))pe(this,Ee,Pe).call(this,Ae.rows,Ae.columns),wS.copy(Ae,this);else if(Number.isInteger(Ae)&&Ae>=0)pe(this,Ee,Pe).call(this,Ae,Le);else if(ee.isAnyArray(Ae)){const Ie=Ae;if(Ae=Ie.length,Le=Ae?Ie[0].length:0,typeof Le!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let ze=0;ze<Ae;ze++){if(Ie[ze].length!==Le)throw new RangeError("Inconsistent array dimensions");if(!Kt(Ie[ze]))throw new TypeError("Input data contains non-numeric values");this.data.push(Float64Array.from(Ie[ze]))}this.rows=Ae,this.columns=Le}else throw new TypeError("First argument must be a positive number or an array")}set(Ae,Le,Ie){return this.data[Ae][Le]=Ie,this}get(Ae,Le){return this.data[Ae][Le]}removeRow(Ae){return De(this,Ae),this.data.splice(Ae,1),this.rows-=1,this}addRow(Ae,Le){return Le===void 0&&(Le=Ae,Ae=this.rows),De(this,Ae,!0),Le=Float64Array.from(Be(this,Le)),this.data.splice(Ae,0,Le),this.rows+=1,this}removeColumn(Ae){Re(this,Ae);for(let Le=0;Le<this.rows;Le++){const Ie=new Float64Array(this.columns-1);for(let ze=0;ze<Ae;ze++)Ie[ze]=this.data[Le][ze];for(let ze=Ae+1;ze<this.columns;ze++)Ie[ze-1]=this.data[Le][ze];this.data[Le]=Ie}return this.columns-=1,this}addColumn(Ae,Le){typeof Le=="undefined"&&(Le=Ae,Ae=this.columns),Re(this,Ae,!0),Le=Ue(this,Le);for(let Ie=0;Ie<this.rows;Ie++){const ze=new Float64Array(this.columns+1);let Ze=0;for(;Ze<Ae;Ze++)ze[Ze]=this.data[Ie][Ze];for(ze[Ze++]=Le[Ie];Ze<this.columns+1;Ze++)ze[Ze]=this.data[Ie][Ze-1];this.data[Ie]=ze}return this.columns+=1,this}};Ee=new WeakSet,Pe=function(pt,Ae){if(this.data=[],Number.isInteger(Ae)&&Ae>=0)for(let Le=0;Le<pt;Le++)this.data.push(new Float64Array(Ae));else throw new TypeError("nColumns must be a positive integer");this.rows=pt,this.columns=Ae};let yt=Tt;be(sn,yt);const Gt=class MS extends sn{constructor(Ae){if(super(),we(this,de),yt.isMatrix(Ae)){if(!Ae.isSymmetric())throw new TypeError("not symmetric data");Me(this,de,yt.copy(Ae,new yt(Ae.rows,Ae.rows)))}else if(Number.isInteger(Ae)&&Ae>=0)Me(this,de,new yt(Ae,Ae));else if(Me(this,de,new yt(Ae)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return ye(this,de).size}get rows(){return ye(this,de).rows}get columns(){return ye(this,de).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(Ae){return yt.isMatrix(Ae)&&Ae.klassType==="SymmetricMatrix"}static zeros(Ae){return new this(Ae)}static ones(Ae){return new this(Ae).fill(1)}clone(){const Ae=new MS(this.diagonalSize);for(const[Le,Ie,ze]of this.upperRightEntries())Ae.set(Le,Ie,ze);return Ae}toMatrix(){return new yt(this)}get(Ae,Le){return ye(this,de).get(Ae,Le)}set(Ae,Le,Ie){return ye(this,de).set(Ae,Le,Ie),ye(this,de).set(Le,Ae,Ie),this}removeCross(Ae){return ye(this,de).removeRow(Ae),ye(this,de).removeColumn(Ae),this}addCross(Ae,Le){Le===void 0&&(Le=Ae,Ae=this.diagonalSize);const Ie=Le.slice();return Ie.splice(Ae,1),ye(this,de).addRow(Ae,Ie),ye(this,de).addColumn(Ae,Le),this}applyMask(Ae){if(Ae.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const Le=[];for(const[Ie,ze]of Ae.entries())ze||Le.push(Ie);Le.reverse();for(const Ie of Le)this.removeCross(Ie);return this}toCompact(){const{diagonalSize:Ae}=this,Le=new Array(Ae*(Ae+1)/2);for(let Ie=0,ze=0,Ze=0;Ze<Le.length;Ze++)Le[Ze]=this.get(ze,Ie),++Ie>=Ae&&(Ie=++ze);return Le}static fromCompact(Ae){const Le=Ae.length,Ie=(Math.sqrt(8*Le+1)-1)/2;if(!Number.isInteger(Ie))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(Ae)}`);const ze=new MS(Ie);for(let Ze=0,xt=0,bt=0;bt<Le;bt++)ze.set(Ze,xt,Ae[bt]),++Ze>=Ie&&(Ze=++xt);return ze}*upperRightEntries(){for(let Ae=0,Le=0;Ae<this.diagonalSize;void 0){const Ie=this.get(Ae,Le);yield[Ae,Le,Ie],++Le>=this.diagonalSize&&(Le=++Ae)}}*upperRightValues(){for(let Ae=0,Le=0;Ae<this.diagonalSize;void 0)yield this.get(Ae,Le),++Le>=this.diagonalSize&&(Le=++Ae)}};de=new WeakMap;let gt=Gt;gt.prototype.klassType="SymmetricMatrix";class St extends gt{static isDistanceMatrix(Ae){return gt.isSymmetricMatrix(Ae)&&Ae.klassSubType==="DistanceMatrix"}constructor(Ae){if(super(Ae),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(Ae,Le,Ie){return Ae===Le&&(Ie=0),super.set(Ae,Le,Ie)}addCross(Ae,Le){return Le===void 0&&(Le=Ae,Ae=this.diagonalSize),Le=Le.slice(),Le[Ae]=0,super.addCross(Ae,Le)}toSymmetricMatrix(){return new gt(this)}clone(){const Ae=new St(this.diagonalSize);for(const[Le,Ie,ze]of this.upperRightEntries())Le!==Ie&&Ae.set(Le,Ie,ze);return Ae}toCompact(){const{diagonalSize:Ae}=this,Le=(Ae-1)*Ae/2,Ie=new Array(Le);for(let ze=1,Ze=0,xt=0;xt<Ie.length;xt++)Ie[xt]=this.get(Ze,ze),++ze>=Ae&&(ze=++Ze+1);return Ie}static fromCompact(Ae){const Le=Ae.length;if(Le===0)return new this(0);const Ie=(Math.sqrt(8*Le+1)+1)/2;if(!Number.isInteger(Ie))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(Ae)}`);const ze=new this(Ie);for(let Ze=1,xt=0,bt=0;bt<Le;bt++)ze.set(Ze,xt,Ae[bt]),++Ze>=Ie&&(Ze=++xt+1);return ze}}St.prototype.klassSubType="DistanceMatrix";class Qt extends sn{constructor(Ae,Le,Ie){super(),this.matrix=Ae,this.rows=Le,this.columns=Ie}}class Nt extends Qt{constructor(Ae,Le){Re(Ae,Le),super(Ae,Ae.rows,1),this.column=Le}set(Ae,Le,Ie){return this.matrix.set(Ae,this.column,Ie),this}get(Ae){return this.matrix.get(Ae,this.column)}}class wt extends Qt{constructor(Ae,Le){Xe(Ae,Le),super(Ae,Ae.rows,Le.length),this.columnIndices=Le}set(Ae,Le,Ie){return this.matrix.set(Ae,this.columnIndices[Le],Ie),this}get(Ae,Le){return this.matrix.get(Ae,this.columnIndices[Le])}}class rn extends Qt{constructor(Ae){super(Ae,Ae.rows,Ae.columns)}set(Ae,Le,Ie){return this.matrix.set(Ae,this.columns-Le-1,Ie),this}get(Ae,Le){return this.matrix.get(Ae,this.columns-Le-1)}}class On extends Qt{constructor(Ae){super(Ae,Ae.rows,Ae.columns)}set(Ae,Le,Ie){return this.matrix.set(this.rows-Ae-1,Le,Ie),this}get(Ae,Le){return this.matrix.get(this.rows-Ae-1,Le)}}class zn extends Qt{constructor(Ae,Le){De(Ae,Le),super(Ae,1,Ae.columns),this.row=Le}set(Ae,Le,Ie){return this.matrix.set(this.row,Le,Ie),this}get(Ae,Le){return this.matrix.get(this.row,Le)}}class Gn extends Qt{constructor(Ae,Le){Ge(Ae,Le),super(Ae,Le.length,Ae.columns),this.rowIndices=Le}set(Ae,Le,Ie){return this.matrix.set(this.rowIndices[Ae],Le,Ie),this}get(Ae,Le){return this.matrix.get(this.rowIndices[Ae],Le)}}class nr extends Qt{constructor(Ae,Le,Ie){Ge(Ae,Le),Xe(Ae,Ie),super(Ae,Le.length,Ie.length),this.rowIndices=Le,this.columnIndices=Ie}set(Ae,Le,Ie){return this.matrix.set(this.rowIndices[Ae],this.columnIndices[Le],Ie),this}get(Ae,Le){return this.matrix.get(this.rowIndices[Ae],this.columnIndices[Le])}}class Xn extends Qt{constructor(Ae,Le,Ie,ze,Ze){Ye(Ae,Le,Ie,ze,Ze),super(Ae,Ie-Le+1,Ze-ze+1),this.startRow=Le,this.startColumn=ze}set(Ae,Le,Ie){return this.matrix.set(this.startRow+Ae,this.startColumn+Le,Ie),this}get(Ae,Le){return this.matrix.get(this.startRow+Ae,this.startColumn+Le)}}class $t extends Qt{constructor(Ae){super(Ae,Ae.columns,Ae.rows)}set(Ae,Le,Ie){return this.matrix.set(Le,Ae,Ie),this}get(Ae,Le){return this.matrix.get(Le,Ae)}}class gn extends sn{constructor(Ae,Le={}){const{rows:Ie=1}=Le;if(Ae.length%Ie!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=Ie,this.columns=Ae.length/Ie,this.data=Ae}set(Ae,Le,Ie){let ze=this._calculateIndex(Ae,Le);return this.data[ze]=Ie,this}get(Ae,Le){let Ie=this._calculateIndex(Ae,Le);return this.data[Ie]}_calculateIndex(Ae,Le){return Ae*this.columns+Le}}class jn extends sn{constructor(Ae){super(),this.data=Ae,this.rows=Ae.length,this.columns=Ae[0].length}set(Ae,Le,Ie){return this.data[Ae][Le]=Ie,this}get(Ae,Le){return this.data[Ae][Le]}}function Ln(pt,Ae){if(ee.isAnyArray(pt))return pt[0]&&ee.isAnyArray(pt[0])?new jn(pt):new gn(pt,Ae);throw new Error("the argument is not an array")}class Sr{constructor(Ae){Ae=jn.checkMatrix(Ae);let Le=Ae.clone(),Ie=Le.rows,ze=Le.columns,Ze=new Float64Array(Ie),xt=1,bt,Yt,Ht,cn,dn,Zn,Mn,er,rr;for(bt=0;bt<Ie;bt++)Ze[bt]=bt;for(er=new Float64Array(Ie),Yt=0;Yt<ze;Yt++){for(bt=0;bt<Ie;bt++)er[bt]=Le.get(bt,Yt);for(bt=0;bt<Ie;bt++){for(rr=Math.min(bt,Yt),dn=0,Ht=0;Ht<rr;Ht++)dn+=Le.get(bt,Ht)*er[Ht];er[bt]-=dn,Le.set(bt,Yt,er[bt])}for(cn=Yt,bt=Yt+1;bt<Ie;bt++)Math.abs(er[bt])>Math.abs(er[cn])&&(cn=bt);if(cn!==Yt){for(Ht=0;Ht<ze;Ht++)Zn=Le.get(cn,Ht),Le.set(cn,Ht,Le.get(Yt,Ht)),Le.set(Yt,Ht,Zn);Mn=Ze[cn],Ze[cn]=Ze[Yt],Ze[Yt]=Mn,xt=-xt}if(Yt<Ie&&Le.get(Yt,Yt)!==0)for(bt=Yt+1;bt<Ie;bt++)Le.set(bt,Yt,Le.get(bt,Yt)/Le.get(Yt,Yt))}this.LU=Le,this.pivotVector=Ze,this.pivotSign=xt}isSingular(){let Ae=this.LU,Le=Ae.columns;for(let Ie=0;Ie<Le;Ie++)if(Ae.get(Ie,Ie)===0)return!0;return!1}solve(Ae){Ae=yt.checkMatrix(Ae);let Le=this.LU;if(Le.rows!==Ae.rows)throw new Error("Invalid matrix dimensions");if(this.isSingular())throw new Error("LU matrix is singular");let ze=Ae.columns,Ze=Ae.subMatrixRow(this.pivotVector,0,ze-1),xt=Le.columns,bt,Yt,Ht;for(Ht=0;Ht<xt;Ht++)for(bt=Ht+1;bt<xt;bt++)for(Yt=0;Yt<ze;Yt++)Ze.set(bt,Yt,Ze.get(bt,Yt)-Ze.get(Ht,Yt)*Le.get(bt,Ht));for(Ht=xt-1;Ht>=0;Ht--){for(Yt=0;Yt<ze;Yt++)Ze.set(Ht,Yt,Ze.get(Ht,Yt)/Le.get(Ht,Ht));for(bt=0;bt<Ht;bt++)for(Yt=0;Yt<ze;Yt++)Ze.set(bt,Yt,Ze.get(bt,Yt)-Ze.get(Ht,Yt)*Le.get(bt,Ht))}return Ze}get determinant(){let Ae=this.LU;if(!Ae.isSquare())throw new Error("Matrix must be square");let Le=this.pivotSign,Ie=Ae.columns;for(let ze=0;ze<Ie;ze++)Le*=Ae.get(ze,ze);return Le}get lowerTriangularMatrix(){let Ae=this.LU,Le=Ae.rows,Ie=Ae.columns,ze=new yt(Le,Ie);for(let Ze=0;Ze<Le;Ze++)for(let xt=0;xt<Ie;xt++)Ze>xt?ze.set(Ze,xt,Ae.get(Ze,xt)):Ze===xt?ze.set(Ze,xt,1):ze.set(Ze,xt,0);return ze}get upperTriangularMatrix(){let Ae=this.LU,Le=Ae.rows,Ie=Ae.columns,ze=new yt(Le,Ie);for(let Ze=0;Ze<Le;Ze++)for(let xt=0;xt<Ie;xt++)Ze<=xt?ze.set(Ze,xt,Ae.get(Ze,xt)):ze.set(Ze,xt,0);return ze}get pivotPermutationVector(){return Array.from(this.pivotVector)}}function Ur(pt,Ae){let Le=0;return Math.abs(pt)>Math.abs(Ae)?(Le=Ae/pt,Math.abs(pt)*Math.sqrt(1+Le*Le)):Ae!==0?(Le=pt/Ae,Math.abs(Ae)*Math.sqrt(1+Le*Le)):0}class Mr{constructor(Ae){Ae=jn.checkMatrix(Ae);let Le=Ae.clone(),Ie=Ae.rows,ze=Ae.columns,Ze=new Float64Array(ze),xt,bt,Yt,Ht;for(Yt=0;Yt<ze;Yt++){let cn=0;for(xt=Yt;xt<Ie;xt++)cn=Ur(cn,Le.get(xt,Yt));if(cn!==0){for(Le.get(Yt,Yt)<0&&(cn=-cn),xt=Yt;xt<Ie;xt++)Le.set(xt,Yt,Le.get(xt,Yt)/cn);for(Le.set(Yt,Yt,Le.get(Yt,Yt)+1),bt=Yt+1;bt<ze;bt++){for(Ht=0,xt=Yt;xt<Ie;xt++)Ht+=Le.get(xt,Yt)*Le.get(xt,bt);for(Ht=-Ht/Le.get(Yt,Yt),xt=Yt;xt<Ie;xt++)Le.set(xt,bt,Le.get(xt,bt)+Ht*Le.get(xt,Yt))}}Ze[Yt]=-cn}this.QR=Le,this.Rdiag=Ze}solve(Ae){Ae=yt.checkMatrix(Ae);let Le=this.QR,Ie=Le.rows;if(Ae.rows!==Ie)throw new Error("Matrix row dimensions must agree");if(!this.isFullRank())throw new Error("Matrix is rank deficient");let ze=Ae.columns,Ze=Ae.clone(),xt=Le.columns,bt,Yt,Ht,cn;for(Ht=0;Ht<xt;Ht++)for(Yt=0;Yt<ze;Yt++){for(cn=0,bt=Ht;bt<Ie;bt++)cn+=Le.get(bt,Ht)*Ze.get(bt,Yt);for(cn=-cn/Le.get(Ht,Ht),bt=Ht;bt<Ie;bt++)Ze.set(bt,Yt,Ze.get(bt,Yt)+cn*Le.get(bt,Ht))}for(Ht=xt-1;Ht>=0;Ht--){for(Yt=0;Yt<ze;Yt++)Ze.set(Ht,Yt,Ze.get(Ht,Yt)/this.Rdiag[Ht]);for(bt=0;bt<Ht;bt++)for(Yt=0;Yt<ze;Yt++)Ze.set(bt,Yt,Ze.get(bt,Yt)-Ze.get(Ht,Yt)*Le.get(bt,Ht))}return Ze.subMatrix(0,xt-1,0,ze-1)}isFullRank(){let Ae=this.QR.columns;for(let Le=0;Le<Ae;Le++)if(this.Rdiag[Le]===0)return!1;return!0}get upperTriangularMatrix(){let Ae=this.QR,Le=Ae.columns,Ie=new yt(Le,Le),ze,Ze;for(ze=0;ze<Le;ze++)for(Ze=0;Ze<Le;Ze++)ze<Ze?Ie.set(ze,Ze,Ae.get(ze,Ze)):ze===Ze?Ie.set(ze,Ze,this.Rdiag[ze]):Ie.set(ze,Ze,0);return Ie}get orthogonalMatrix(){let Ae=this.QR,Le=Ae.rows,Ie=Ae.columns,ze=new yt(Le,Ie),Ze,xt,bt,Yt;for(bt=Ie-1;bt>=0;bt--){for(Ze=0;Ze<Le;Ze++)ze.set(Ze,bt,0);for(ze.set(bt,bt,1),xt=bt;xt<Ie;xt++)if(Ae.get(bt,bt)!==0){for(Yt=0,Ze=bt;Ze<Le;Ze++)Yt+=Ae.get(Ze,bt)*ze.get(Ze,xt);for(Yt=-Yt/Ae.get(bt,bt),Ze=bt;Ze<Le;Ze++)ze.set(Ze,xt,ze.get(Ze,xt)+Yt*Ae.get(Ze,bt))}}return ze}}class Gr{constructor(Ae,Le={}){if(Ae=jn.checkMatrix(Ae),Ae.isEmpty())throw new Error("Matrix must be non-empty");let Ie=Ae.rows,ze=Ae.columns;const{computeLeftSingularVectors:Ze=!0,computeRightSingularVectors:xt=!0,autoTranspose:bt=!1}=Le;let Yt=!!Ze,Ht=!!xt,cn=!1,dn;if(Ie<ze)if(!bt)dn=Ae.clone(),console.warn("Computing SVD on a matrix with more columns than rows. Consider enabling autoTranspose");else{dn=Ae.transpose(),Ie=dn.rows,ze=dn.columns,cn=!0;let Bn=Yt;Yt=Ht,Ht=Bn}else dn=Ae.clone();let Zn=Math.min(Ie,ze),Mn=Math.min(Ie+1,ze),er=new Float64Array(Mn),rr=new yt(Ie,Zn),mr=new yt(ze,ze),pn=new Float64Array(ze),tn=new Float64Array(Ie),Tn=new Float64Array(Mn);for(let Bn=0;Bn<Mn;Bn++)Tn[Bn]=Bn;let Hn=Math.min(Ie-1,ze),fr=Math.max(0,Math.min(ze-2,Ie)),br=Math.max(Hn,fr);for(let Bn=0;Bn<br;Bn++){if(Bn<Hn){er[Bn]=0;for(let xr=Bn;xr<Ie;xr++)er[Bn]=Ur(er[Bn],dn.get(xr,Bn));if(er[Bn]!==0){dn.get(Bn,Bn)<0&&(er[Bn]=-er[Bn]);for(let xr=Bn;xr<Ie;xr++)dn.set(xr,Bn,dn.get(xr,Bn)/er[Bn]);dn.set(Bn,Bn,dn.get(Bn,Bn)+1)}er[Bn]=-er[Bn]}for(let xr=Bn+1;xr<ze;xr++){if(Bn<Hn&&er[Bn]!==0){let Jn=0;for(let Nr=Bn;Nr<Ie;Nr++)Jn+=dn.get(Nr,Bn)*dn.get(Nr,xr);Jn=-Jn/dn.get(Bn,Bn);for(let Nr=Bn;Nr<Ie;Nr++)dn.set(Nr,xr,dn.get(Nr,xr)+Jn*dn.get(Nr,Bn))}pn[xr]=dn.get(Bn,xr)}if(Yt&&Bn<Hn)for(let xr=Bn;xr<Ie;xr++)rr.set(xr,Bn,dn.get(xr,Bn));if(Bn<fr){pn[Bn]=0;for(let xr=Bn+1;xr<ze;xr++)pn[Bn]=Ur(pn[Bn],pn[xr]);if(pn[Bn]!==0){pn[Bn+1]<0&&(pn[Bn]=0-pn[Bn]);for(let xr=Bn+1;xr<ze;xr++)pn[xr]/=pn[Bn];pn[Bn+1]+=1}if(pn[Bn]=-pn[Bn],Bn+1<Ie&&pn[Bn]!==0){for(let xr=Bn+1;xr<Ie;xr++)tn[xr]=0;for(let xr=Bn+1;xr<Ie;xr++)for(let Jn=Bn+1;Jn<ze;Jn++)tn[xr]+=pn[Jn]*dn.get(xr,Jn);for(let xr=Bn+1;xr<ze;xr++){let Jn=-pn[xr]/pn[Bn+1];for(let Nr=Bn+1;Nr<Ie;Nr++)dn.set(Nr,xr,dn.get(Nr,xr)+Jn*tn[Nr])}}if(Ht)for(let xr=Bn+1;xr<ze;xr++)mr.set(xr,Bn,pn[xr])}}let tr=Math.min(ze,Ie+1);if(Hn<ze&&(er[Hn]=dn.get(Hn,Hn)),Ie<tr&&(er[tr-1]=0),fr+1<tr&&(pn[fr]=dn.get(fr,tr-1)),pn[tr-1]=0,Yt){for(let Bn=Hn;Bn<Zn;Bn++){for(let xr=0;xr<Ie;xr++)rr.set(xr,Bn,0);rr.set(Bn,Bn,1)}for(let Bn=Hn-1;Bn>=0;Bn--)if(er[Bn]!==0){for(let xr=Bn+1;xr<Zn;xr++){let Jn=0;for(let Nr=Bn;Nr<Ie;Nr++)Jn+=rr.get(Nr,Bn)*rr.get(Nr,xr);Jn=-Jn/rr.get(Bn,Bn);for(let Nr=Bn;Nr<Ie;Nr++)rr.set(Nr,xr,rr.get(Nr,xr)+Jn*rr.get(Nr,Bn))}for(let xr=Bn;xr<Ie;xr++)rr.set(xr,Bn,-rr.get(xr,Bn));rr.set(Bn,Bn,1+rr.get(Bn,Bn));for(let xr=0;xr<Bn-1;xr++)rr.set(xr,Bn,0)}else{for(let xr=0;xr<Ie;xr++)rr.set(xr,Bn,0);rr.set(Bn,Bn,1)}}if(Ht)for(let Bn=ze-1;Bn>=0;Bn--){if(Bn<fr&&pn[Bn]!==0)for(let xr=Bn+1;xr<ze;xr++){let Jn=0;for(let Nr=Bn+1;Nr<ze;Nr++)Jn+=mr.get(Nr,Bn)*mr.get(Nr,xr);Jn=-Jn/mr.get(Bn+1,Bn);for(let Nr=Bn+1;Nr<ze;Nr++)mr.set(Nr,xr,mr.get(Nr,xr)+Jn*mr.get(Nr,Bn))}for(let xr=0;xr<ze;xr++)mr.set(xr,Bn,0);mr.set(Bn,Bn,1)}let hr=tr-1,vr=Number.EPSILON;for(;tr>0;){let Bn,xr;for(Bn=tr-2;Bn>=-1&&Bn!==-1;Bn--){const Jn=Number.MIN_VALUE+vr*Math.abs(er[Bn]+Math.abs(er[Bn+1]));if(Math.abs(pn[Bn])<=Jn||Number.isNaN(pn[Bn])){pn[Bn]=0;break}}if(Bn===tr-2)xr=4;else{let Jn;for(Jn=tr-1;Jn>=Bn&&Jn!==Bn;Jn--){let Nr=(Jn!==tr?Math.abs(pn[Jn]):0)+(Jn!==Bn+1?Math.abs(pn[Jn-1]):0);if(Math.abs(er[Jn])<=vr*Nr){er[Jn]=0;break}}Jn===Bn?xr=3:Jn===tr-1?xr=1:(xr=2,Bn=Jn)}switch(Bn++,xr){case 1:{let Jn=pn[tr-2];pn[tr-2]=0;for(let Nr=tr-2;Nr>=Bn;Nr--){let Xa=Ur(er[Nr],Jn),$a=er[Nr]/Xa,ai=Jn/Xa;if(er[Nr]=Xa,Nr!==Bn&&(Jn=-ai*pn[Nr-1],pn[Nr-1]=$a*pn[Nr-1]),Ht)for(let Zr=0;Zr<ze;Zr++)Xa=$a*mr.get(Zr,Nr)+ai*mr.get(Zr,tr-1),mr.set(Zr,tr-1,-ai*mr.get(Zr,Nr)+$a*mr.get(Zr,tr-1)),mr.set(Zr,Nr,Xa)}break}case 2:{let Jn=pn[Bn-1];pn[Bn-1]=0;for(let Nr=Bn;Nr<tr;Nr++){let Xa=Ur(er[Nr],Jn),$a=er[Nr]/Xa,ai=Jn/Xa;if(er[Nr]=Xa,Jn=-ai*pn[Nr],pn[Nr]=$a*pn[Nr],Yt)for(let Zr=0;Zr<Ie;Zr++)Xa=$a*rr.get(Zr,Nr)+ai*rr.get(Zr,Bn-1),rr.set(Zr,Bn-1,-ai*rr.get(Zr,Nr)+$a*rr.get(Zr,Bn-1)),rr.set(Zr,Nr,Xa)}break}case 3:{const Jn=Math.max(Math.abs(er[tr-1]),Math.abs(er[tr-2]),Math.abs(pn[tr-2]),Math.abs(er[Bn]),Math.abs(pn[Bn])),Nr=er[tr-1]/Jn,Xa=er[tr-2]/Jn,$a=pn[tr-2]/Jn,ai=er[Bn]/Jn,Zr=pn[Bn]/Jn,ua=((Xa+Nr)*(Xa-Nr)+$a*$a)/2,Da=Nr*$a*(Nr*$a);let sa=0;(ua!==0||Da!==0)&&(ua<0?sa=0-Math.sqrt(ua*ua+Da):sa=Math.sqrt(ua*ua+Da),sa=Da/(ua+sa));let Ja=(ai+Nr)*(ai-Nr)+sa,Li=ai*Zr;for(let Na=Bn;Na<tr-1;Na++){let Ti=Ur(Ja,Li);Ti===0&&(Ti=Number.MIN_VALUE);let ji=Ja/Ti,Ao=Li/Ti;if(Na!==Bn&&(pn[Na-1]=Ti),Ja=ji*er[Na]+Ao*pn[Na],pn[Na]=ji*pn[Na]-Ao*er[Na],Li=Ao*er[Na+1],er[Na+1]=ji*er[Na+1],Ht)for(let uo=0;uo<ze;uo++)Ti=ji*mr.get(uo,Na)+Ao*mr.get(uo,Na+1),mr.set(uo,Na+1,-Ao*mr.get(uo,Na)+ji*mr.get(uo,Na+1)),mr.set(uo,Na,Ti);if(Ti=Ur(Ja,Li),Ti===0&&(Ti=Number.MIN_VALUE),ji=Ja/Ti,Ao=Li/Ti,er[Na]=Ti,Ja=ji*pn[Na]+Ao*er[Na+1],er[Na+1]=-Ao*pn[Na]+ji*er[Na+1],Li=Ao*pn[Na+1],pn[Na+1]=ji*pn[Na+1],Yt&&Na<Ie-1)for(let uo=0;uo<Ie;uo++)Ti=ji*rr.get(uo,Na)+Ao*rr.get(uo,Na+1),rr.set(uo,Na+1,-Ao*rr.get(uo,Na)+ji*rr.get(uo,Na+1)),rr.set(uo,Na,Ti)}pn[tr-2]=Ja;break}case 4:{if(er[Bn]<=0&&(er[Bn]=er[Bn]<0?-er[Bn]:0,Ht))for(let Jn=0;Jn<=hr;Jn++)mr.set(Jn,Bn,-mr.get(Jn,Bn));for(;Bn<hr&&!(er[Bn]>=er[Bn+1]);){let Jn=er[Bn];if(er[Bn]=er[Bn+1],er[Bn+1]=Jn,Ht&&Bn<ze-1)for(let Nr=0;Nr<ze;Nr++)Jn=mr.get(Nr,Bn+1),mr.set(Nr,Bn+1,mr.get(Nr,Bn)),mr.set(Nr,Bn,Jn);if(Yt&&Bn<Ie-1)for(let Nr=0;Nr<Ie;Nr++)Jn=rr.get(Nr,Bn+1),rr.set(Nr,Bn+1,rr.get(Nr,Bn)),rr.set(Nr,Bn,Jn);Bn++}tr--;break}}}if(cn){let Bn=mr;mr=rr,rr=Bn}this.m=Ie,this.n=ze,this.s=er,this.U=rr,this.V=mr}solve(Ae){let Le=Ae,Ie=this.threshold,ze=this.s.length,Ze=yt.zeros(ze,ze);for(let Zn=0;Zn<ze;Zn++)Math.abs(this.s[Zn])<=Ie?Ze.set(Zn,Zn,0):Ze.set(Zn,Zn,1/this.s[Zn]);let xt=this.U,bt=this.rightSingularVectors,Yt=bt.mmul(Ze),Ht=bt.rows,cn=xt.rows,dn=yt.zeros(Ht,cn);for(let Zn=0;Zn<Ht;Zn++)for(let Mn=0;Mn<cn;Mn++){let er=0;for(let rr=0;rr<ze;rr++)er+=Yt.get(Zn,rr)*xt.get(Mn,rr);dn.set(Zn,Mn,er)}return dn.mmul(Le)}solveForDiagonal(Ae){return this.solve(yt.diag(Ae))}inverse(){let Ae=this.V,Le=this.threshold,Ie=Ae.rows,ze=Ae.columns,Ze=new yt(Ie,this.s.length);for(let cn=0;cn<Ie;cn++)for(let dn=0;dn<ze;dn++)Math.abs(this.s[dn])>Le&&Ze.set(cn,dn,Ae.get(cn,dn)/this.s[dn]);let xt=this.U,bt=xt.rows,Yt=xt.columns,Ht=new yt(Ie,bt);for(let cn=0;cn<Ie;cn++)for(let dn=0;dn<bt;dn++){let Zn=0;for(let Mn=0;Mn<Yt;Mn++)Zn+=Ze.get(cn,Mn)*xt.get(dn,Mn);Ht.set(cn,dn,Zn)}return Ht}get condition(){return this.s[0]/this.s[Math.min(this.m,this.n)-1]}get norm2(){return this.s[0]}get rank(){let Ae=Math.max(this.m,this.n)*this.s[0]*Number.EPSILON,Le=0,Ie=this.s;for(let ze=0,Ze=Ie.length;ze<Ze;ze++)Ie[ze]>Ae&&Le++;return Le}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return yt.diag(this.s)}}function ma(pt,Ae=!1){return pt=jn.checkMatrix(pt),Ae?new Gr(pt).inverse():Oa(pt,yt.eye(pt.rows))}function Oa(pt,Ae,Le=!1){return pt=jn.checkMatrix(pt),Ae=jn.checkMatrix(Ae),Le?new Gr(pt).solve(Ae):pt.isSquare()?new Sr(pt).solve(Ae):new Mr(pt).solve(Ae)}function Ea(pt){if(pt=yt.checkMatrix(pt),pt.isSquare()){if(pt.columns===0)return 1;let Ae,Le,Ie,ze;if(pt.columns===2)return Ae=pt.get(0,0),Le=pt.get(0,1),Ie=pt.get(1,0),ze=pt.get(1,1),Ae*ze-Le*Ie;if(pt.columns===3){let Ze,xt,bt;return Ze=new nr(pt,[1,2],[1,2]),xt=new nr(pt,[1,2],[0,2]),bt=new nr(pt,[1,2],[0,1]),Ae=pt.get(0,0),Le=pt.get(0,1),Ie=pt.get(0,2),Ae*Ea(Ze)-Le*Ea(xt)+Ie*Ea(bt)}else return new Sr(pt).determinant}else throw Error("determinant can only be calculated for a square matrix")}function Ma(pt,Ae){let Le=[];for(let Ie=0;Ie<pt;Ie++)Ie!==Ae&&Le.push(Ie);return Le}function li(pt,Ae,Le,Ie=1e-9,ze=1e-9){if(pt>ze)return new Array(Ae.rows+1).fill(0);{let Ze=Ae.addRow(Le,[0]);for(let xt=0;xt<Ze.rows;xt++)Math.abs(Ze.get(xt,0))<Ie&&Ze.set(xt,0,0);return Ze.to1DArray()}}function di(pt,Ae={}){const{thresholdValue:Le=1e-9,thresholdError:Ie=1e-9}=Ae;pt=yt.checkMatrix(pt);let ze=pt.rows,Ze=new yt(ze,ze);for(let xt=0;xt<ze;xt++){let bt=yt.columnVector(pt.getRow(xt)),Yt=pt.subMatrixRow(Ma(ze,xt)).transpose(),cn=new Gr(Yt).solve(bt),dn=yt.sub(bt,Yt.mmul(cn)).abs().max();Ze.setRow(xt,li(dn,cn,xt,Le,Ie))}return Ze}function Hr(pt,Ae=Number.EPSILON){if(pt=yt.checkMatrix(pt),pt.isEmpty())return pt.transpose();let Le=new Gr(pt,{autoTranspose:!0}),Ie=Le.leftSingularVectors,ze=Le.rightSingularVectors,Ze=Le.diagonal;for(let xt=0;xt<Ze.length;xt++)Math.abs(Ze[xt])>Ae?Ze[xt]=1/Ze[xt]:Ze[xt]=0;return ze.mmul(yt.diag(Ze).mmul(Ie.transpose()))}function Ta(pt,Ae=pt,Le={}){pt=new yt(pt);let Ie=!1;if(typeof Ae=="object"&&!yt.isMatrix(Ae)&&!ee.isAnyArray(Ae)?(Le=Ae,Ae=pt,Ie=!0):Ae=new yt(Ae),pt.rows!==Ae.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:ze=!0}=Le;ze&&(pt=pt.center("column"),Ie||(Ae=Ae.center("column")));const Ze=pt.transpose().mmul(Ae);for(let xt=0;xt<Ze.rows;xt++)for(let bt=0;bt<Ze.columns;bt++)Ze.set(xt,bt,Ze.get(xt,bt)*(1/(pt.rows-1)));return Ze}function Ha(pt,Ae=pt,Le={}){pt=new yt(pt);let Ie=!1;if(typeof Ae=="object"&&!yt.isMatrix(Ae)&&!ee.isAnyArray(Ae)?(Le=Ae,Ae=pt,Ie=!0):Ae=new yt(Ae),pt.rows!==Ae.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:ze=!0,scale:Ze=!0}=Le;ze&&(pt.center("column"),Ie||Ae.center("column")),Ze&&(pt.scale("column"),Ie||Ae.scale("column"));const xt=pt.standardDeviation("column",{unbiased:!0}),bt=Ie?xt:Ae.standardDeviation("column",{unbiased:!0}),Yt=pt.transpose().mmul(Ae);for(let Ht=0;Ht<Yt.rows;Ht++)for(let cn=0;cn<Yt.columns;cn++)Yt.set(Ht,cn,Yt.get(Ht,cn)*(1/(xt[Ht]*bt[cn]))*(1/(pt.rows-1)));return Yt}class sr{constructor(Ae,Le={}){const{assumeSymmetric:Ie=!1}=Le;if(Ae=jn.checkMatrix(Ae),!Ae.isSquare())throw new Error("Matrix is not a square matrix");if(Ae.isEmpty())throw new Error("Matrix must be non-empty");let ze=Ae.columns,Ze=new yt(ze,ze),xt=new Float64Array(ze),bt=new Float64Array(ze),Yt=Ae,Ht,cn,dn=!1;if(Ie?dn=!0:dn=Ae.isSymmetric(),dn){for(Ht=0;Ht<ze;Ht++)for(cn=0;cn<ze;cn++)Ze.set(Ht,cn,Yt.get(Ht,cn));pr(ze,bt,xt,Ze),Qa(ze,bt,xt,Ze)}else{let Zn=new yt(ze,ze),Mn=new Float64Array(ze);for(cn=0;cn<ze;cn++)for(Ht=0;Ht<ze;Ht++)Zn.set(Ht,cn,Yt.get(Ht,cn));hn(ze,Zn,Mn,Ze),kn(ze,bt,xt,Ze,Zn)}this.n=ze,this.e=bt,this.d=xt,this.V=Ze}get realEigenvalues(){return Array.from(this.d)}get imaginaryEigenvalues(){return Array.from(this.e)}get eigenvectorMatrix(){return this.V}get diagonalMatrix(){let Ae=this.n,Le=this.e,Ie=this.d,ze=new yt(Ae,Ae),Ze,xt;for(Ze=0;Ze<Ae;Ze++){for(xt=0;xt<Ae;xt++)ze.set(Ze,xt,0);ze.set(Ze,Ze,Ie[Ze]),Le[Ze]>0?ze.set(Ze,Ze+1,Le[Ze]):Le[Ze]<0&&ze.set(Ze,Ze-1,Le[Ze])}return ze}}function pr(pt,Ae,Le,Ie){let ze,Ze,xt,bt,Yt,Ht,cn,dn;for(Yt=0;Yt<pt;Yt++)Le[Yt]=Ie.get(pt-1,Yt);for(bt=pt-1;bt>0;bt--){for(dn=0,xt=0,Ht=0;Ht<bt;Ht++)dn=dn+Math.abs(Le[Ht]);if(dn===0)for(Ae[bt]=Le[bt-1],Yt=0;Yt<bt;Yt++)Le[Yt]=Ie.get(bt-1,Yt),Ie.set(bt,Yt,0),Ie.set(Yt,bt,0);else{for(Ht=0;Ht<bt;Ht++)Le[Ht]/=dn,xt+=Le[Ht]*Le[Ht];for(ze=Le[bt-1],Ze=Math.sqrt(xt),ze>0&&(Ze=-Ze),Ae[bt]=dn*Ze,xt=xt-ze*Ze,Le[bt-1]=ze-Ze,Yt=0;Yt<bt;Yt++)Ae[Yt]=0;for(Yt=0;Yt<bt;Yt++){for(ze=Le[Yt],Ie.set(Yt,bt,ze),Ze=Ae[Yt]+Ie.get(Yt,Yt)*ze,Ht=Yt+1;Ht<=bt-1;Ht++)Ze+=Ie.get(Ht,Yt)*Le[Ht],Ae[Ht]+=Ie.get(Ht,Yt)*ze;Ae[Yt]=Ze}for(ze=0,Yt=0;Yt<bt;Yt++)Ae[Yt]/=xt,ze+=Ae[Yt]*Le[Yt];for(cn=ze/(xt+xt),Yt=0;Yt<bt;Yt++)Ae[Yt]-=cn*Le[Yt];for(Yt=0;Yt<bt;Yt++){for(ze=Le[Yt],Ze=Ae[Yt],Ht=Yt;Ht<=bt-1;Ht++)Ie.set(Ht,Yt,Ie.get(Ht,Yt)-(ze*Ae[Ht]+Ze*Le[Ht]));Le[Yt]=Ie.get(bt-1,Yt),Ie.set(bt,Yt,0)}}Le[bt]=xt}for(bt=0;bt<pt-1;bt++){if(Ie.set(pt-1,bt,Ie.get(bt,bt)),Ie.set(bt,bt,1),xt=Le[bt+1],xt!==0){for(Ht=0;Ht<=bt;Ht++)Le[Ht]=Ie.get(Ht,bt+1)/xt;for(Yt=0;Yt<=bt;Yt++){for(Ze=0,Ht=0;Ht<=bt;Ht++)Ze+=Ie.get(Ht,bt+1)*Ie.get(Ht,Yt);for(Ht=0;Ht<=bt;Ht++)Ie.set(Ht,Yt,Ie.get(Ht,Yt)-Ze*Le[Ht])}}for(Ht=0;Ht<=bt;Ht++)Ie.set(Ht,bt+1,0)}for(Yt=0;Yt<pt;Yt++)Le[Yt]=Ie.get(pt-1,Yt),Ie.set(pt-1,Yt,0);Ie.set(pt-1,pt-1,1),Ae[0]=0}function Qa(pt,Ae,Le,Ie){let ze,Ze,xt,bt,Yt,Ht,cn,dn,Zn,Mn,er,rr,mr,pn,tn,Tn;for(xt=1;xt<pt;xt++)Ae[xt-1]=Ae[xt];Ae[pt-1]=0;let Hn=0,fr=0,br=Number.EPSILON;for(Ht=0;Ht<pt;Ht++){for(fr=Math.max(fr,Math.abs(Le[Ht])+Math.abs(Ae[Ht])),cn=Ht;cn<pt&&!(Math.abs(Ae[cn])<=br*fr);)cn++;if(cn>Ht)do{for(ze=Le[Ht],dn=(Le[Ht+1]-ze)/(2*Ae[Ht]),Zn=Ur(dn,1),dn<0&&(Zn=-Zn),Le[Ht]=Ae[Ht]/(dn+Zn),Le[Ht+1]=Ae[Ht]*(dn+Zn),Mn=Le[Ht+1],Ze=ze-Le[Ht],xt=Ht+2;xt<pt;xt++)Le[xt]-=Ze;for(Hn=Hn+Ze,dn=Le[cn],er=1,rr=er,mr=er,pn=Ae[Ht+1],tn=0,Tn=0,xt=cn-1;xt>=Ht;xt--)for(mr=rr,rr=er,Tn=tn,ze=er*Ae[xt],Ze=er*dn,Zn=Ur(dn,Ae[xt]),Ae[xt+1]=tn*Zn,tn=Ae[xt]/Zn,er=dn/Zn,dn=er*Le[xt]-tn*ze,Le[xt+1]=Ze+tn*(er*ze+tn*Le[xt]),Yt=0;Yt<pt;Yt++)Ze=Ie.get(Yt,xt+1),Ie.set(Yt,xt+1,tn*Ie.get(Yt,xt)+er*Ze),Ie.set(Yt,xt,er*Ie.get(Yt,xt)-tn*Ze);dn=-tn*Tn*mr*pn*Ae[Ht]/Mn,Ae[Ht]=tn*dn,Le[Ht]=er*dn}while(Math.abs(Ae[Ht])>br*fr);Le[Ht]=Le[Ht]+Hn,Ae[Ht]=0}for(xt=0;xt<pt-1;xt++){for(Yt=xt,dn=Le[xt],bt=xt+1;bt<pt;bt++)Le[bt]<dn&&(Yt=bt,dn=Le[bt]);if(Yt!==xt)for(Le[Yt]=Le[xt],Le[xt]=dn,bt=0;bt<pt;bt++)dn=Ie.get(bt,xt),Ie.set(bt,xt,Ie.get(bt,Yt)),Ie.set(bt,Yt,dn)}}function hn(pt,Ae,Le,Ie){let ze=0,Ze=pt-1,xt,bt,Yt,Ht,cn,dn,Zn;for(dn=ze+1;dn<=Ze-1;dn++){for(Zn=0,Ht=dn;Ht<=Ze;Ht++)Zn=Zn+Math.abs(Ae.get(Ht,dn-1));if(Zn!==0){for(Yt=0,Ht=Ze;Ht>=dn;Ht--)Le[Ht]=Ae.get(Ht,dn-1)/Zn,Yt+=Le[Ht]*Le[Ht];for(bt=Math.sqrt(Yt),Le[dn]>0&&(bt=-bt),Yt=Yt-Le[dn]*bt,Le[dn]=Le[dn]-bt,cn=dn;cn<pt;cn++){for(xt=0,Ht=Ze;Ht>=dn;Ht--)xt+=Le[Ht]*Ae.get(Ht,cn);for(xt=xt/Yt,Ht=dn;Ht<=Ze;Ht++)Ae.set(Ht,cn,Ae.get(Ht,cn)-xt*Le[Ht])}for(Ht=0;Ht<=Ze;Ht++){for(xt=0,cn=Ze;cn>=dn;cn--)xt+=Le[cn]*Ae.get(Ht,cn);for(xt=xt/Yt,cn=dn;cn<=Ze;cn++)Ae.set(Ht,cn,Ae.get(Ht,cn)-xt*Le[cn])}Le[dn]=Zn*Le[dn],Ae.set(dn,dn-1,Zn*bt)}}for(Ht=0;Ht<pt;Ht++)for(cn=0;cn<pt;cn++)Ie.set(Ht,cn,Ht===cn?1:0);for(dn=Ze-1;dn>=ze+1;dn--)if(Ae.get(dn,dn-1)!==0){for(Ht=dn+1;Ht<=Ze;Ht++)Le[Ht]=Ae.get(Ht,dn-1);for(cn=dn;cn<=Ze;cn++){for(bt=0,Ht=dn;Ht<=Ze;Ht++)bt+=Le[Ht]*Ie.get(Ht,cn);for(bt=bt/Le[dn]/Ae.get(dn,dn-1),Ht=dn;Ht<=Ze;Ht++)Ie.set(Ht,cn,Ie.get(Ht,cn)+bt*Le[Ht])}}}function kn(pt,Ae,Le,Ie,ze){let Ze=pt-1,xt=0,bt=pt-1,Yt=Number.EPSILON,Ht=0,cn=0,dn=0,Zn=0,Mn=0,er=0,rr=0,mr=0,pn,tn,Tn,Hn,fr,br,tr,hr,vr,Bn,xr,Jn,Nr,Xa,$a;for(pn=0;pn<pt;pn++)for((pn<xt||pn>bt)&&(Le[pn]=ze.get(pn,pn),Ae[pn]=0),tn=Math.max(pn-1,0);tn<pt;tn++)cn=cn+Math.abs(ze.get(pn,tn));for(;Ze>=xt;){for(Hn=Ze;Hn>xt&&(er=Math.abs(ze.get(Hn-1,Hn-1))+Math.abs(ze.get(Hn,Hn)),er===0&&(er=cn),!(Math.abs(ze.get(Hn,Hn-1))<Yt*er));)Hn--;if(Hn===Ze)ze.set(Ze,Ze,ze.get(Ze,Ze)+Ht),Le[Ze]=ze.get(Ze,Ze),Ae[Ze]=0,Ze--,mr=0;else if(Hn===Ze-1){if(tr=ze.get(Ze,Ze-1)*ze.get(Ze-1,Ze),dn=(ze.get(Ze-1,Ze-1)-ze.get(Ze,Ze))/2,Zn=dn*dn+tr,rr=Math.sqrt(Math.abs(Zn)),ze.set(Ze,Ze,ze.get(Ze,Ze)+Ht),ze.set(Ze-1,Ze-1,ze.get(Ze-1,Ze-1)+Ht),hr=ze.get(Ze,Ze),Zn>=0){for(rr=dn>=0?dn+rr:dn-rr,Le[Ze-1]=hr+rr,Le[Ze]=Le[Ze-1],rr!==0&&(Le[Ze]=hr-tr/rr),Ae[Ze-1]=0,Ae[Ze]=0,hr=ze.get(Ze,Ze-1),er=Math.abs(hr)+Math.abs(rr),dn=hr/er,Zn=rr/er,Mn=Math.sqrt(dn*dn+Zn*Zn),dn=dn/Mn,Zn=Zn/Mn,tn=Ze-1;tn<pt;tn++)rr=ze.get(Ze-1,tn),ze.set(Ze-1,tn,Zn*rr+dn*ze.get(Ze,tn)),ze.set(Ze,tn,Zn*ze.get(Ze,tn)-dn*rr);for(pn=0;pn<=Ze;pn++)rr=ze.get(pn,Ze-1),ze.set(pn,Ze-1,Zn*rr+dn*ze.get(pn,Ze)),ze.set(pn,Ze,Zn*ze.get(pn,Ze)-dn*rr);for(pn=xt;pn<=bt;pn++)rr=Ie.get(pn,Ze-1),Ie.set(pn,Ze-1,Zn*rr+dn*Ie.get(pn,Ze)),Ie.set(pn,Ze,Zn*Ie.get(pn,Ze)-dn*rr)}else Le[Ze-1]=hr+dn,Le[Ze]=hr+dn,Ae[Ze-1]=rr,Ae[Ze]=-rr;Ze=Ze-2,mr=0}else{if(hr=ze.get(Ze,Ze),vr=0,tr=0,Hn<Ze&&(vr=ze.get(Ze-1,Ze-1),tr=ze.get(Ze,Ze-1)*ze.get(Ze-1,Ze)),mr===10){for(Ht+=hr,pn=xt;pn<=Ze;pn++)ze.set(pn,pn,ze.get(pn,pn)-hr);er=Math.abs(ze.get(Ze,Ze-1))+Math.abs(ze.get(Ze-1,Ze-2)),hr=vr=.75*er,tr=-.4375*er*er}if(mr===30&&(er=(vr-hr)/2,er=er*er+tr,er>0)){for(er=Math.sqrt(er),vr<hr&&(er=-er),er=hr-tr/((vr-hr)/2+er),pn=xt;pn<=Ze;pn++)ze.set(pn,pn,ze.get(pn,pn)-er);Ht+=er,hr=vr=tr=.964}for(mr=mr+1,fr=Ze-2;fr>=Hn&&(rr=ze.get(fr,fr),Mn=hr-rr,er=vr-rr,dn=(Mn*er-tr)/ze.get(fr+1,fr)+ze.get(fr,fr+1),Zn=ze.get(fr+1,fr+1)-rr-Mn-er,Mn=ze.get(fr+2,fr+1),er=Math.abs(dn)+Math.abs(Zn)+Math.abs(Mn),dn=dn/er,Zn=Zn/er,Mn=Mn/er,!(fr===Hn||Math.abs(ze.get(fr,fr-1))*(Math.abs(Zn)+Math.abs(Mn))<Yt*(Math.abs(dn)*(Math.abs(ze.get(fr-1,fr-1))+Math.abs(rr)+Math.abs(ze.get(fr+1,fr+1))))));)fr--;for(pn=fr+2;pn<=Ze;pn++)ze.set(pn,pn-2,0),pn>fr+2&&ze.set(pn,pn-3,0);for(Tn=fr;Tn<=Ze-1&&(Xa=Tn!==Ze-1,Tn!==fr&&(dn=ze.get(Tn,Tn-1),Zn=ze.get(Tn+1,Tn-1),Mn=Xa?ze.get(Tn+2,Tn-1):0,hr=Math.abs(dn)+Math.abs(Zn)+Math.abs(Mn),hr!==0&&(dn=dn/hr,Zn=Zn/hr,Mn=Mn/hr)),hr!==0);Tn++)if(er=Math.sqrt(dn*dn+Zn*Zn+Mn*Mn),dn<0&&(er=-er),er!==0){for(Tn!==fr?ze.set(Tn,Tn-1,-er*hr):Hn!==fr&&ze.set(Tn,Tn-1,-ze.get(Tn,Tn-1)),dn=dn+er,hr=dn/er,vr=Zn/er,rr=Mn/er,Zn=Zn/dn,Mn=Mn/dn,tn=Tn;tn<pt;tn++)dn=ze.get(Tn,tn)+Zn*ze.get(Tn+1,tn),Xa&&(dn=dn+Mn*ze.get(Tn+2,tn),ze.set(Tn+2,tn,ze.get(Tn+2,tn)-dn*rr)),ze.set(Tn,tn,ze.get(Tn,tn)-dn*hr),ze.set(Tn+1,tn,ze.get(Tn+1,tn)-dn*vr);for(pn=0;pn<=Math.min(Ze,Tn+3);pn++)dn=hr*ze.get(pn,Tn)+vr*ze.get(pn,Tn+1),Xa&&(dn=dn+rr*ze.get(pn,Tn+2),ze.set(pn,Tn+2,ze.get(pn,Tn+2)-dn*Mn)),ze.set(pn,Tn,ze.get(pn,Tn)-dn),ze.set(pn,Tn+1,ze.get(pn,Tn+1)-dn*Zn);for(pn=xt;pn<=bt;pn++)dn=hr*Ie.get(pn,Tn)+vr*Ie.get(pn,Tn+1),Xa&&(dn=dn+rr*Ie.get(pn,Tn+2),Ie.set(pn,Tn+2,Ie.get(pn,Tn+2)-dn*Mn)),Ie.set(pn,Tn,Ie.get(pn,Tn)-dn),Ie.set(pn,Tn+1,Ie.get(pn,Tn+1)-dn*Zn)}}}if(cn!==0){for(Ze=pt-1;Ze>=0;Ze--)if(dn=Le[Ze],Zn=Ae[Ze],Zn===0)for(Hn=Ze,ze.set(Ze,Ze,1),pn=Ze-1;pn>=0;pn--){for(tr=ze.get(pn,pn)-dn,Mn=0,tn=Hn;tn<=Ze;tn++)Mn=Mn+ze.get(pn,tn)*ze.get(tn,Ze);if(Ae[pn]<0)rr=tr,er=Mn;else if(Hn=pn,Ae[pn]===0?ze.set(pn,Ze,tr!==0?-Mn/tr:-Mn/(Yt*cn)):(hr=ze.get(pn,pn+1),vr=ze.get(pn+1,pn),Zn=(Le[pn]-dn)*(Le[pn]-dn)+Ae[pn]*Ae[pn],br=(hr*er-rr*Mn)/Zn,ze.set(pn,Ze,br),ze.set(pn+1,Ze,Math.abs(hr)>Math.abs(rr)?(-Mn-tr*br)/hr:(-er-vr*br)/rr)),br=Math.abs(ze.get(pn,Ze)),Yt*br*br>1)for(tn=pn;tn<=Ze;tn++)ze.set(tn,Ze,ze.get(tn,Ze)/br)}else if(Zn<0)for(Hn=Ze-1,Math.abs(ze.get(Ze,Ze-1))>Math.abs(ze.get(Ze-1,Ze))?(ze.set(Ze-1,Ze-1,Zn/ze.get(Ze,Ze-1)),ze.set(Ze-1,Ze,-(ze.get(Ze,Ze)-dn)/ze.get(Ze,Ze-1))):($a=ar(0,-ze.get(Ze-1,Ze),ze.get(Ze-1,Ze-1)-dn,Zn),ze.set(Ze-1,Ze-1,$a[0]),ze.set(Ze-1,Ze,$a[1])),ze.set(Ze,Ze-1,0),ze.set(Ze,Ze,1),pn=Ze-2;pn>=0;pn--){for(Bn=0,xr=0,tn=Hn;tn<=Ze;tn++)Bn=Bn+ze.get(pn,tn)*ze.get(tn,Ze-1),xr=xr+ze.get(pn,tn)*ze.get(tn,Ze);if(tr=ze.get(pn,pn)-dn,Ae[pn]<0)rr=tr,Mn=Bn,er=xr;else if(Hn=pn,Ae[pn]===0?($a=ar(-Bn,-xr,tr,Zn),ze.set(pn,Ze-1,$a[0]),ze.set(pn,Ze,$a[1])):(hr=ze.get(pn,pn+1),vr=ze.get(pn+1,pn),Jn=(Le[pn]-dn)*(Le[pn]-dn)+Ae[pn]*Ae[pn]-Zn*Zn,Nr=(Le[pn]-dn)*2*Zn,Jn===0&&Nr===0&&(Jn=Yt*cn*(Math.abs(tr)+Math.abs(Zn)+Math.abs(hr)+Math.abs(vr)+Math.abs(rr))),$a=ar(hr*Mn-rr*Bn+Zn*xr,hr*er-rr*xr-Zn*Bn,Jn,Nr),ze.set(pn,Ze-1,$a[0]),ze.set(pn,Ze,$a[1]),Math.abs(hr)>Math.abs(rr)+Math.abs(Zn)?(ze.set(pn+1,Ze-1,(-Bn-tr*ze.get(pn,Ze-1)+Zn*ze.get(pn,Ze))/hr),ze.set(pn+1,Ze,(-xr-tr*ze.get(pn,Ze)-Zn*ze.get(pn,Ze-1))/hr)):($a=ar(-Mn-vr*ze.get(pn,Ze-1),-er-vr*ze.get(pn,Ze),rr,Zn),ze.set(pn+1,Ze-1,$a[0]),ze.set(pn+1,Ze,$a[1]))),br=Math.max(Math.abs(ze.get(pn,Ze-1)),Math.abs(ze.get(pn,Ze))),Yt*br*br>1)for(tn=pn;tn<=Ze;tn++)ze.set(tn,Ze-1,ze.get(tn,Ze-1)/br),ze.set(tn,Ze,ze.get(tn,Ze)/br)}for(pn=0;pn<pt;pn++)if(pn<xt||pn>bt)for(tn=pn;tn<pt;tn++)Ie.set(pn,tn,ze.get(pn,tn));for(tn=pt-1;tn>=xt;tn--)for(pn=xt;pn<=bt;pn++){for(rr=0,Tn=xt;Tn<=Math.min(tn,bt);Tn++)rr=rr+Ie.get(pn,Tn)*ze.get(Tn,tn);Ie.set(pn,tn,rr)}}}function ar(pt,Ae,Le,Ie){let ze,Ze;return Math.abs(Le)>Math.abs(Ie)?(ze=Ie/Le,Ze=Le+ze*Ie,[(pt+ze*Ae)/Ze,(Ae-ze*pt)/Ze]):(ze=Le/Ie,Ze=Ie+ze*Le,[(ze*pt+Ae)/Ze,(ze*Ae-pt)/Ze])}class lr{constructor(Ae){if(Ae=jn.checkMatrix(Ae),!Ae.isSymmetric())throw new Error("Matrix is not symmetric");let Le=Ae,Ie=Le.rows,ze=new yt(Ie,Ie),Ze=!0,xt,bt,Yt;for(bt=0;bt<Ie;bt++){let Ht=0;for(Yt=0;Yt<bt;Yt++){let cn=0;for(xt=0;xt<Yt;xt++)cn+=ze.get(Yt,xt)*ze.get(bt,xt);cn=(Le.get(bt,Yt)-cn)/ze.get(Yt,Yt),ze.set(bt,Yt,cn),Ht=Ht+cn*cn}for(Ht=Le.get(bt,bt)-Ht,Ze&&(Ze=Ht>0),ze.set(bt,bt,Math.sqrt(Math.max(Ht,0))),Yt=bt+1;Yt<Ie;Yt++)ze.set(bt,Yt,0)}this.L=ze,this.positiveDefinite=Ze}isPositiveDefinite(){return this.positiveDefinite}solve(Ae){Ae=jn.checkMatrix(Ae);let Le=this.L,Ie=Le.rows;if(Ae.rows!==Ie)throw new Error("Matrix dimensions do not match");if(this.isPositiveDefinite()===!1)throw new Error("Matrix is not positive definite");let ze=Ae.columns,Ze=Ae.clone(),xt,bt,Yt;for(Yt=0;Yt<Ie;Yt++)for(bt=0;bt<ze;bt++){for(xt=0;xt<Yt;xt++)Ze.set(Yt,bt,Ze.get(Yt,bt)-Ze.get(xt,bt)*Le.get(Yt,xt));Ze.set(Yt,bt,Ze.get(Yt,bt)/Le.get(Yt,Yt))}for(Yt=Ie-1;Yt>=0;Yt--)for(bt=0;bt<ze;bt++){for(xt=Yt+1;xt<Ie;xt++)Ze.set(Yt,bt,Ze.get(Yt,bt)-Ze.get(xt,bt)*Le.get(xt,Yt));Ze.set(Yt,bt,Ze.get(Yt,bt)/Le.get(Yt,Yt))}return Ze}get lowerTriangularMatrix(){return this.L}}class Fr{constructor(Ae,Le={}){Ae=jn.checkMatrix(Ae);let{Y:Ie}=Le;const{scaleScores:ze=!1,maxIterations:Ze=1e3,terminationCriteria:xt=1e-10}=Le;let bt;if(Ie){if(ee.isAnyArray(Ie)&&typeof Ie[0]=="number"?Ie=yt.columnVector(Ie):Ie=jn.checkMatrix(Ie),Ie.rows!==Ae.rows)throw new Error("Y should have the same number of rows as X");bt=Ie.getColumnVector(0)}else bt=Ae.getColumnVector(0);let Yt=1,Ht,cn,dn,Zn;for(let 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diff --git a/p__tasks__index.442ce08c.async.js b/p__tasks__index.a90adbdd.async.js
similarity index 99%
rename from p__tasks__index.442ce08c.async.js
rename to p__tasks__index.a90adbdd.async.js
index 8b388f69cd..143b830e71 100644
--- a/p__tasks__index.442ce08c.async.js
+++ b/p__tasks__index.a90adbdd.async.js
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",yl="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAMgCAMAAADsrvZaAAADAFBMVEUAAAD90UH/00P+0T7+0j/+0j7+0j/+0j//1ED90D78zz78zz/otjD6zz/ntzDfrCv7zz7vwDjfrizXqivery3zxjvKmyfVpSnery7YqCn6zj/vwTnktjP+4EvW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",yl="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAMgCAMAAADsrvZaAAADAFBMVEUAAAD90UH/00P+0T7+0j/+0j7+0j/+0j//1ED90D78zz78zz/otjD6zz/ntzDfrCv7zz7vwDjfrizXqivery3zxjvKmyfVpSnery7YqCn6zj/vwTnktjP+4EvW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0,this.hls=r,this.config=r.config,this.Cues=r.config.cueHandler,this.captionsProperties={textTrack1:{label:this.config.captionsTextTrack1Label,languageCode:this.config.captionsTextTrack1LanguageCode},textTrack2:{label:this.config.captionsTextTrack2Label,languageCode:this.config.captionsTextTrack2LanguageCode},textTrack3:{label:this.config.captionsTextTrack3Label,languageCode:this.config.captionsTextTrack3LanguageCode},textTrack4:{label:this.config.captionsTextTrack4Label,languageCode:this.config.captionsTextTrack4LanguageCode}},r.on(l.MEDIA_ATTACHING,this.onMediaAttaching,this),r.on(l.MEDIA_DETACHING,this.onMediaDetaching,this),r.on(l.MANIFEST_LOADING,this.onManifestLoading,this),r.on(l.MANIFEST_LOADED,this.onManifestLoaded,this),r.on(l.SUBTITLE_TRACKS_UPDATED,this.onSubtitleTracksUpdated,this),r.on(l.FRAG_LOADING,this.onFragLoading,this),r.on(l.FRAG_LOADED,this.onFragLoaded,this),r.on(l.FRAG_PARSING_USERDATA,this.onFragParsingUserdata,this),r.on(l.FRAG_DECRYPTED,this.onFragDecrypted,this),r.on(l.INIT_PTS_FOUND,this.onInitPtsFound,this),r.on(l.SUBTITLE_TRACKS_CLEARED,this.onSubtitleTracksCleared,this),r.on(l.BUFFER_FLUSHING,this.onBufferFlushing,this)}destroy(){const{hls:r}=this;r.off(l.MEDIA_ATTACHING,this.onMediaAttaching,this),r.off(l.MEDIA_DETACHING,this.onMediaDetaching,this),r.off(l.MANIFEST_LOADING,this.onManifestLoading,this),r.off(l.MANIFEST_LOADED,this.onManifestLoaded,this),r.off(l.SUBTITLE_TRACKS_UPDATED,this.onSubtitleTracksUpdated,this),r.off(l.FRAG_LOADING,this.onFragLoading,this),r.off(l.FRAG_LOADED,this.onFragLoaded,this),r.off(l.FRAG_PARSING_USERDATA,this.onFragParsingUserdata,this),r.off(l.FRAG_DECRYPTED,this.onFragDecrypted,this),r.off(l.INIT_PTS_FOUND,this.onInitPtsFound,this),r.off(l.SUBTITLE_TRACKS_CLEARED,this.onSubtitleTracksCleared,this),r.off(l.BUFFER_FLUSHING,this.onBufferFlushing,this),this.hls=this.config=null,this.cea608Parser1=this.cea608Parser2=void 0}initCea608Parsers(){if(this.config.enableCEA708Captions&&(!this.cea608Parser1||!this.cea608Parser2)){const r=new vl(this,"textTrack1"),a=new vl(this,"textTrack2"),_=new vl(this,"textTrack3"),E=new vl(this,"textTrack4");this.cea608Parser1=new Xo(1,r,a),this.cea608Parser2=new Xo(3,_,E)}}addCues(r,a,_,E,I){let N=!1;for(let H=I.length;H--;){const oe=I[H],he=Uu(oe[0],oe[1],a,_);if(he>=0&&(oe[0]=Math.min(oe[0],a),oe[1]=Math.max(oe[1],_),N=!0,he/(_-a)>.5))return}if(N||I.push([a,_]),this.config.renderTextTracksNatively){const H=this.captionsTracks[r];this.Cues.newCue(H,a,_,E)}else{const H=this.Cues.newCue(null,a,_,E);this.hls.trigger(l.CUES_PARSED,{type:"captions",cues:H,track:r})}}onInitPtsFound(r,{frag:a,id:_,initPTS:E,timescale:I}){const{unparsedVttFrags:N}=this;_==="main"&&(this.initPTS[a.cc]={baseTime:E,timescale:I}),N.length&&(this.unparsedVttFrags=[],N.forEach(H=>{this.onFragLoaded(l.FRAG_LOADED,H)}))}getExistingTrack(r,a){const{media:_}=this;if(_)for(let E=0;E<_.textTracks.length;E++){const I=_.textTracks[E];if(fc(I,{name:r,lang:a,attrs:{}}))return I}return null}createCaptionsTrack(r){this.config.renderTextTracksNatively?this.createNativeTrack(r):this.createNonNativeTrack(r)}createNativeTrack(r){if(this.captionsTracks[r])return;const{captionsProperties:a,captionsTracks:_,media:E}=this,{label:I,languageCode:N}=a[r],H=this.getExistingTrack(I,N);if(H)_[r]=H,yn(_[r]),Ir(_[r],E);else{const oe=this.createTextTrack("captions",I,N);oe&&(oe[r]=!0,_[r]=oe)}}createNonNativeTrack(r){if(this.nonNativeCaptionsTracks[r])return;const a=this.captionsProperties[r];if(!a)return;const _=a.label,E={_id:r,label:_,kind:"captions",default:a.media?!!a.media.default:!1,closedCaptions:a.media};this.nonNativeCaptionsTracks[r]=E,this.hls.trigger(l.NON_NATIVE_TEXT_TRACKS_FOUND,{tracks:[E]})}createTextTrack(r,a,_){const E=this.media;if(E)return E.addTextTrack(r,a,_)}onMediaAttaching(r,a){this.media=a.media,this._cleanTracks()}onMediaDetaching(){const{captionsTracks:r}=this;Object.keys(r).forEach(a=>{yn(r[a]),delete r[a]}),this.nonNativeCaptionsTracks={}}onManifestLoading(){this.lastCc=-1,this.lastSn=-1,this.lastPartIndex=-1,this.prevCC=-1,this.vttCCs=Xl(),this._cleanTracks(),this.tracks=[],this.captionsTracks={},this.nonNativeCaptionsTracks={},this.textTracks=[],this.unparsedVttFrags=[],this.initPTS=[],this.cea608Parser1&&this.cea608Parser2&&(this.cea608Parser1.reset(),this.cea608Parser2.reset())}_cleanTracks(){const{media:r}=this;if(!r)return;const a=r.textTracks;if(a)for(let _=0;_<a.length;_++)yn(a[_])}onSubtitleTracksUpdated(r,a){const _=a.subtitleTracks||[],E=_.some(I=>I.textCodec===au);if(this.config.enableWebVTT||E&&this.config.enableIMSC1){if(aa(this.tracks,_)){this.tracks=_;return}if(this.textTracks=[],this.tracks=_,this.config.renderTextTracksNatively){const N=this.media,H=N?on(N.textTracks):null;if(this.tracks.forEach((oe,he)=>{let be;if(H){let Se=null;for(let De=0;De<H.length;De++)if(H[De]&&fc(H[De],oe)){Se=H[De],H[De]=null;break}Se&&(be=Se)}if(be)yn(be);else{const Se=Ec(oe);be=this.createTextTrack(Se,oe.name,oe.lang),be&&(be.mode="disabled")}be&&this.textTracks.push(be)}),H!=null&&H.length){const oe=H.filter(he=>he!==null).map(he=>he.label);oe.length&&R.warn(`Media element contains unused subtitle tracks: ${oe.join(", ")}. Replace media element for each source to clear TextTracks and captions menu.`)}}else if(this.tracks.length){const N=this.tracks.map(H=>({label:H.name,kind:H.type.toLowerCase(),default:H.default,subtitleTrack:H}));this.hls.trigger(l.NON_NATIVE_TEXT_TRACKS_FOUND,{tracks:N})}}}onManifestLoaded(r,a){this.config.enableCEA708Captions&&a.captions&&a.captions.forEach(_=>{const E=/(?:CC|SERVICE)([1-4])/.exec(_.instreamId);if(!E)return;const I=`textTrack${E[1]}`,N=this.captionsProperties[I];N&&(N.label=_.name,_.lang&&(N.languageCode=_.lang),N.media=_)})}closedCaptionsForLevel(r){const a=this.hls.levels[r.level];return a==null?void 0:a.attrs["CLOSED-CAPTIONS"]}onFragLoading(r,a){if(this.enabled&&a.frag.type===Ye.MAIN){var _,E;const{cea608Parser1:I,cea608Parser2:N,lastSn:H}=this,{cc:oe,sn:he}=a.frag,be=(_=(E=a.part)==null?void 0:E.index)!=null?_:-1;I&&N&&(he!==H+1||he===H&&be!==this.lastPartIndex+1||oe!==this.lastCc)&&(I.reset(),N.reset()),this.lastCc=oe,this.lastSn=he,this.lastPartIndex=be}}onFragLoaded(r,a){const{frag:_,payload:E}=a;if(_.type===Ye.SUBTITLE)if(E.byteLength){const I=_.decryptdata,N="stats"in a;if(I==null||!I.encrypted||N){const H=this.tracks[_.level],oe=this.vttCCs;oe[_.cc]||(oe[_.cc]={start:_.start,prevCC:this.prevCC,new:!0},this.prevCC=_.cc),H&&H.textCodec===au?this._parseIMSC1(_,E):this._parseVTTs(a)}}else this.hls.trigger(l.SUBTITLE_FRAG_PROCESSED,{success:!1,frag:_,error:new Error("Empty subtitle payload")})}_parseIMSC1(r,a){const _=this.hls;$o(a,this.initPTS[r.cc],E=>{this._appendCues(E,r.level),_.trigger(l.SUBTITLE_FRAG_PROCESSED,{success:!0,frag:r})},E=>{R.log(`Failed to parse IMSC1: ${E}`),_.trigger(l.SUBTITLE_FRAG_PROCESSED,{success:!1,frag:r,error:E})})}_parseVTTs(r){var a;const{frag:_,payload:E}=r,{initPTS:I,unparsedVttFrags:N}=this,H=I.length-1;if(!I[_.cc]&&H===-1){N.push(r);return}const oe=this.hls,he=(a=_.initSegment)!=null&&a.data?dr(_.initSegment.data,new Uint8Array(E)):E;gl(he,this.initPTS[_.cc],this.vttCCs,_.cc,_.start,be=>{this._appendCues(be,_.level),oe.trigger(l.SUBTITLE_FRAG_PROCESSED,{success:!0,frag:_})},be=>{const Se=be.message==="Missing initPTS for VTT MPEGTS";Se?N.push(r):this._fallbackToIMSC1(_,E),R.log(`Failed to parse VTT cue: ${be}`),!(Se&&H>_.cc)&&oe.trigger(l.SUBTITLE_FRAG_PROCESSED,{success:!1,frag:_,error:be})})}_fallbackToIMSC1(r,a){const _=this.tracks[r.level];_.textCodec||$o(a,this.initPTS[r.cc],()=>{_.textCodec=au,this._parseIMSC1(r,a)},()=>{_.textCodec="wvtt"})}_appendCues(r,a){const _=this.hls;if(this.config.renderTextTracksNatively){const E=this.textTracks[a];if(!E||E.mode==="disabled")return;r.forEach(I=>Hr(E,I))}else{const E=this.tracks[a];if(!E)return;const I=E.default?"default":"subtitles"+a;_.trigger(l.CUES_PARSED,{type:"subtitles",cues:r,track:I})}}onFragDecrypted(r,a){const{frag:_}=a;_.type===Ye.SUBTITLE&&this.onFragLoaded(l.FRAG_LOADED,a)}onSubtitleTracksCleared(){this.tracks=[],this.captionsTracks={}}onFragParsingUserdata(r,a){this.initCea608Parsers();const{cea608Parser1:_,cea608Parser2:E}=this;if(!this.enabled||!_||!E)return;const{frag:I,samples:N}=a;if(!(I.type===Ye.MAIN&&this.closedCaptionsForLevel(I)==="NONE"))for(let H=0;H<N.length;H++){const oe=N[H].bytes;if(oe){const he=this.extractCea608Data(oe);_.addData(N[H].pts,he[0]),E.addData(N[H].pts,he[1])}}}onBufferFlushing(r,{startOffset:a,endOffset:_,endOffsetSubtitles:E,type:I}){const{media:N}=this;if(!(!N||N.currentTime<_)){if(!I||I==="video"){const{captionsTracks:H}=this;Object.keys(H).forEach(oe=>Ar(H[oe],a,_))}if(this.config.renderTextTracksNatively&&a===0&&E!==void 0){const{textTracks:H}=this;Object.keys(H).forEach(oe=>Ar(H[oe],a,E))}}}extractCea608Data(r){const a=[[],[]],_=r[0]&31;let E=2;for(let I=0;I<_;I++){const N=r[E++],H=127&r[E++],oe=127&r[E++];if(H===0&&oe===0)continue;if((4&N)!==0){const be=3&N;(be===0||be===1)&&(a[be].push(H),a[be].push(oe))}}return a}}function Ec(j){return j.characteristics&&/transcribes-spoken-dialog/gi.test(j.characteristics)&&/describes-music-and-sound/gi.test(j.characteristics)?"captions":"subtitles"}function fc(j,r){return!!j&&j.kind===Ec(r)&&is(r,j)}function Uu(j,r,a,_){return Math.min(r,_)-Math.max(j,a)}function Xl(){return{ccOffset:0,presentationOffset:0,0:{start:0,prevCC:-1,new:!0}}}class dc{constructor(r){this.hls=void 0,this.autoLevelCapping=void 0,this.firstLevel=void 0,this.media=void 0,this.restrictedLevels=void 0,this.timer=void 0,this.clientRect=void 0,this.streamController=void 0,this.hls=r,this.autoLevelCapping=Number.POSITIVE_INFINITY,this.firstLevel=-1,this.media=null,this.restrictedLevels=[],this.timer=void 0,this.clientRect=null,this.registerListeners()}setStreamController(r){this.streamController=r}destroy(){this.hls&&this.unregisterListener(),this.timer&&this.stopCapping(),this.media=null,this.clientRect=null,this.hls=this.streamController=null}registerListeners(){const{hls:r}=this;r.on(l.FPS_DROP_LEVEL_CAPPING,this.onFpsDropLevelCapping,this),r.on(l.MEDIA_ATTACHING,this.onMediaAttaching,this),r.on(l.MANIFEST_PARSED,this.onManifestParsed,this),r.on(l.LEVELS_UPDATED,this.onLevelsUpdated,this),r.on(l.BUFFER_CODECS,this.onBufferCodecs,this),r.on(l.MEDIA_DETACHING,this.onMediaDetaching,this)}unregisterListener(){const{hls:r}=this;r.off(l.FPS_DROP_LEVEL_CAPPING,this.onFpsDropLevelCapping,this),r.off(l.MEDIA_ATTACHING,this.onMediaAttaching,this),r.off(l.MANIFEST_PARSED,this.onManifestParsed,this),r.off(l.LEVELS_UPDATED,this.onLevelsUpdated,this),r.off(l.BUFFER_CODECS,this.onBufferCodecs,this),r.off(l.MEDIA_DETACHING,this.onMediaDetaching,this)}onFpsDropLevelCapping(r,a){const _=this.hls.levels[a.droppedLevel];this.isLevelAllowed(_)&&this.restrictedLevels.push({bitrate:_.bitrate,height:_.height,width:_.width})}onMediaAttaching(r,a){this.media=a.media instanceof HTMLVideoElement?a.media:null,this.clientRect=null,this.timer&&this.hls.levels.length&&this.detectPlayerSize()}onManifestParsed(r,a){const _=this.hls;this.restrictedLevels=[],this.firstLevel=a.firstLevel,_.config.capLevelToPlayerSize&&a.video&&this.startCapping()}onLevelsUpdated(r,a){this.timer&&y(this.autoLevelCapping)&&this.detectPlayerSize()}onBufferCodecs(r,a){this.hls.config.capLevelToPlayerSize&&a.video&&this.startCapping()}onMediaDetaching(){this.stopCapping()}detectPlayerSize(){if(this.media){if(this.mediaHeight<=0||this.mediaWidth<=0){this.clientRect=null;return}const r=this.hls.levels;if(r.length){const a=this.hls,_=this.getMaxLevel(r.length-1);_!==this.autoLevelCapping&&R.log(`Setting autoLevelCapping to ${_}: ${r[_].height}p@${r[_].bitrate} for media ${this.mediaWidth}x${this.mediaHeight}`),a.autoLevelCapping=_,a.autoLevelCapping>this.autoLevelCapping&&this.streamController&&this.streamController.nextLevelSwitch(),this.autoLevelCapping=a.autoLevelCapping}}}getMaxLevel(r){const a=this.hls.levels;if(!a.length)return-1;const _=a.filter((E,I)=>this.isLevelAllowed(E)&&I<=r);return this.clientRect=null,dc.getMaxLevelByMediaSize(_,this.mediaWidth,this.mediaHeight)}startCapping(){this.timer||(this.autoLevelCapping=Number.POSITIVE_INFINITY,self.clearInterval(this.timer),this.timer=self.setInterval(this.detectPlayerSize.bind(this),1e3),this.detectPlayerSize())}stopCapping(){this.restrictedLevels=[],this.firstLevel=-1,this.autoLevelCapping=Number.POSITIVE_INFINITY,this.timer&&(self.clearInterval(this.timer),this.timer=void 0)}getDimensions(){if(this.clientRect)return this.clientRect;const r=this.media,a={width:0,height:0};if(r){const _=r.getBoundingClientRect();a.width=_.width,a.height=_.height,!a.width&&!a.height&&(a.width=_.right-_.left||r.width||0,a.height=_.bottom-_.top||r.height||0)}return this.clientRect=a,a}get mediaWidth(){return this.getDimensions().width*this.contentScaleFactor}get mediaHeight(){return this.getDimensions().height*this.contentScaleFactor}get contentScaleFactor(){let r=1;if(!this.hls.config.ignoreDevicePixelRatio)try{r=self.devicePixelRatio}catch(a){}return r}isLevelAllowed(r){return!this.restrictedLevels.some(_=>r.bitrate===_.bitrate&&r.width===_.width&&r.height===_.height)}static getMaxLevelByMediaSize(r,a,_){if(!(r!=null&&r.length))return-1;const E=(H,oe)=>oe?H.width!==oe.width||H.height!==oe.height:!0;let I=r.length-1;const N=Math.max(a,_);for(let H=0;H<r.length;H+=1){const oe=r[H];if((oe.width>=N||oe.height>=N)&&E(oe,r[H+1])){I=H;break}}return I}}class Ql{constructor(r){this.hls=void 0,this.isVideoPlaybackQualityAvailable=!1,this.timer=void 0,this.media=null,this.lastTime=void 0,this.lastDroppedFrames=0,this.lastDecodedFrames=0,this.streamController=void 0,this.hls=r,this.registerListeners()}setStreamController(r){this.streamController=r}registerListeners(){this.hls.on(l.MEDIA_ATTACHING,this.onMediaAttaching,this)}unregisterListeners(){this.hls.off(l.MEDIA_ATTACHING,this.onMediaAttaching,this)}destroy(){this.timer&&clearInterval(this.timer),this.unregisterListeners(),this.isVideoPlaybackQualityAvailable=!1,this.media=null}onMediaAttaching(r,a){const _=this.hls.config;if(_.capLevelOnFPSDrop){const E=a.media instanceof self.HTMLVideoElement?a.media:null;this.media=E,E&&typeof E.getVideoPlaybackQuality=="function"&&(this.isVideoPlaybackQualityAvailable=!0),self.clearInterval(this.timer),this.timer=self.setInterval(this.checkFPSInterval.bind(this),_.fpsDroppedMonitoringPeriod)}}checkFPS(r,a,_){const E=performance.now();if(a){if(this.lastTime){const I=E-this.lastTime,N=_-this.lastDroppedFrames,H=a-this.lastDecodedFrames,oe=1e3*N/I,he=this.hls;if(he.trigger(l.FPS_DROP,{currentDropped:N,currentDecoded:H,totalDroppedFrames:_}),oe>0&&N>he.config.fpsDroppedMonitoringThreshold*H){let be=he.currentLevel;R.warn("drop FPS ratio greater than max allowed value for currentLevel: "+be),be>0&&(he.autoLevelCapping===-1||he.autoLevelCapping>=be)&&(be=be-1,he.trigger(l.FPS_DROP_LEVEL_CAPPING,{level:be,droppedLevel:he.currentLevel}),he.autoLevelCapping=be,this.streamController.nextLevelSwitch())}}this.lastTime=E,this.lastDroppedFrames=_,this.lastDecodedFrames=a}}checkFPSInterval(){const r=this.media;if(r)if(this.isVideoPlaybackQualityAvailable){const a=r.getVideoPlaybackQuality();this.checkFPS(r,a.totalVideoFrames,a.droppedVideoFrames)}else this.checkFPS(r,r.webkitDecodedFrameCount,r.webkitDroppedFrameCount)}}const Go="[eme]";class nl{constructor(r){this.hls=void 0,this.config=void 0,this.media=null,this.keyFormatPromise=null,this.keySystemAccessPromises={},this._requestLicenseFailureCount=0,this.mediaKeySessions=[],this.keyIdToKeySessionPromise={},this.setMediaKeysQueue=nl.CDMCleanupPromise?[nl.CDMCleanupPromise]:[],this.debug=R.debug.bind(R,Go),this.log=R.log.bind(R,Go),this.warn=R.warn.bind(R,Go),this.error=R.error.bind(R,Go),this.onMediaEncrypted=a=>{const{initDataType:_,initData:E}=a,I=`"${a.type}" event: init data type: "${_}"`;if(this.debug(I),E!==null){if(!this.keyFormatPromise){let N=Object.keys(this.keySystemAccessPromises);N.length||(N=qt(this.config));const H=N.map(tr).filter(oe=>!!oe);this.keyFormatPromise=this.getKeyFormatPromise(H)}this.keyFormatPromise.then(N=>{const H=Ft(N);let oe,he;if(_==="sinf"){if(H!==Me.FAIRPLAY){this.warn(`Ignoring unexpected "${a.type}" event with init data type: "${_}" for selected key-system ${H}`);return}const Xe=ze(new Uint8Array(E));try{const lt=M(JSON.parse(Xe).sinf),vt=Dr(lt);if(!vt)throw new Error("'schm' box missing or not cbcs/cenc with schi > tenc");oe=vt.subarray(8,24),he=Me.FAIRPLAY}catch(lt){this.warn(`${I} Failed to parse sinf: ${lt}`);return}}else{if(H!==Me.WIDEVINE&&H!==Me.PLAYREADY){this.warn(`Ignoring unexpected "${a.type}" event with init data type: "${_}" for selected key-system ${H}`);return}const Xe=Sr(E),lt=Xe.filter(Qt=>!!Qt.systemId&&At(Qt.systemId)===H);lt.length>1&&this.warn(`${I} Using first of ${lt.length} pssh found for selected key-system ${H}`);const vt=lt[0];if(!vt){Xe.length===0||Xe.some(Qt=>!Qt.systemId)?this.warn(`${I} contains incomplete or invalid pssh data`):this.log(`ignoring ${I} for ${Xe.map(Qt=>At(Qt.systemId)).join(",")} pssh data in favor of playlist keys`);return}if(he=At(vt.systemId),vt.version===0&&vt.data)if(he===Me.WIDEVINE){const Qt=vt.data.length-22;oe=vt.data.subarray(Qt,Qt+16)}else he===Me.PLAYREADY&&(oe=zt(vt.data))}if(!he||!oe){this.log(`Unable to handle ${I} with key-system ${H}`);return}const be=Nt.hexDump(oe),{keyIdToKeySessionPromise:Se,mediaKeySessions:De}=this;let He=Se[be];for(let Xe=0;Xe<De.length;Xe++){const lt=De[Xe],vt=lt.decryptdata;if(!vt.keyId)continue;const Qt=Nt.hexDump(vt.keyId);if(be===Qt||vt.uri.replace(/-/g,"").indexOf(be)!==-1){if(He=Se[Qt],vt.pssh)break;delete Se[Qt],vt.pssh=new Uint8Array(E),vt.keyId=oe,He=Se[be]=He.then(()=>this.generateRequestWithPreferredKeySession(lt,_,E,"encrypted-event-key-match")),He.catch(yr=>this.handleError(yr));break}}if(!He){if(he!==H){this.log(`Ignoring "${I}" with ${he} init data for selected key-system ${H}`);return}He=Se[be]=this.getKeySystemSelectionPromise([he]).then(({keySystem:Xe,mediaKeys:lt})=>{var vt;this.throwIfDestroyed();const Qt=new Mr("ISO-23001-7",be,(vt=tr(Xe))!=null?vt:"");return Qt.pssh=new Uint8Array(E),Qt.keyId=oe,this.attemptSetMediaKeys(Xe,lt).then(()=>{this.throwIfDestroyed();const yr=this.createMediaKeySessionContext({decryptdata:Qt,keySystem:Xe,mediaKeys:lt});return this.generateRequestWithPreferredKeySession(yr,_,E,"encrypted-event-no-match")})}),He.catch(Xe=>this.handleError(Xe))}})}},this.onWaitingForKey=a=>{this.log(`"${a.type}" event`)},this.hls=r,this.config=r.config,this.registerListeners()}destroy(){this.unregisterListeners(),this.onMediaDetached();const r=this.config;r.requestMediaKeySystemAccessFunc=null,r.licenseXhrSetup=r.licenseResponseCallback=void 0,r.drmSystems=r.drmSystemOptions={},this.hls=this.config=this.keyIdToKeySessionPromise=null,this.onMediaEncrypted=this.onWaitingForKey=null}registerListeners(){this.hls.on(l.MEDIA_ATTACHED,this.onMediaAttached,this),this.hls.on(l.MEDIA_DETACHED,this.onMediaDetached,this),this.hls.on(l.MANIFEST_LOADING,this.onManifestLoading,this),this.hls.on(l.MANIFEST_LOADED,this.onManifestLoaded,this)}unregisterListeners(){this.hls.off(l.MEDIA_ATTACHED,this.onMediaAttached,this),this.hls.off(l.MEDIA_DETACHED,this.onMediaDetached,this),this.hls.off(l.MANIFEST_LOADING,this.onManifestLoading,this),this.hls.off(l.MANIFEST_LOADED,this.onManifestLoaded,this)}getLicenseServerUrl(r){const{drmSystems:a,widevineLicenseUrl:_}=this.config,E=a[r];if(E)return E.licenseUrl;if(r===Me.WIDEVINE&&_)return _}getLicenseServerUrlOrThrow(r){const a=this.getLicenseServerUrl(r);if(a===void 0)throw new Error(`no license server URL configured for key-system "${r}"`);return a}getServerCertificateUrl(r){const{drmSystems:a}=this.config,_=a[r];if(_)return _.serverCertificateUrl;this.log(`No Server Certificate in config.drmSystems["${r}"]`)}attemptKeySystemAccess(r){const a=this.hls.levels,_=(N,H,oe)=>!!N&&oe.indexOf(N)===H,E=a.map(N=>N.audioCodec).filter(_),I=a.map(N=>N.videoCodec).filter(_);return E.length+I.length===0&&I.push("avc1.42e01e"),new Promise((N,H)=>{const oe=he=>{const be=he.shift();this.getMediaKeysPromise(be,E,I).then(Se=>N({keySystem:be,mediaKeys:Se})).catch(Se=>{he.length?oe(he):Se instanceof Jo?H(Se):H(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_NO_ACCESS,error:Se,fatal:!0},Se.message))})};oe(r)})}requestMediaKeySystemAccess(r,a){const{requestMediaKeySystemAccessFunc:_}=this.config;if(typeof _!="function"){let E=`Configured requestMediaKeySystemAccess is not a function ${_}`;return cr===null&&self.location.protocol==="http:"&&(E=`navigator.requestMediaKeySystemAccess is not available over insecure protocol ${location.protocol}`),Promise.reject(new Error(E))}return _(r,a)}getMediaKeysPromise(r,a,_){const E=Qe(r,a,_,this.config.drmSystemOptions),I=this.keySystemAccessPromises[r];let N=I==null?void 0:I.keySystemAccess;if(!N){this.log(`Requesting encrypted media "${r}" key-system access with config: ${JSON.stringify(E)}`),N=this.requestMediaKeySystemAccess(r,E);const H=this.keySystemAccessPromises[r]={keySystemAccess:N};return N.catch(oe=>{this.log(`Failed to obtain access to key-system "${r}": ${oe}`)}),N.then(oe=>{this.log(`Access for key-system "${oe.keySystem}" obtained`);const he=this.fetchServerCertificate(r);return this.log(`Create media-keys for "${r}"`),H.mediaKeys=oe.createMediaKeys().then(be=>(this.log(`Media-keys created for "${r}"`),he.then(Se=>Se?this.setMediaKeysServerCertificate(be,r,Se):be))),H.mediaKeys.catch(be=>{this.error(`Failed to create media-keys for "${r}"}: ${be}`)}),H.mediaKeys})}return N.then(()=>I.mediaKeys)}createMediaKeySessionContext({decryptdata:r,keySystem:a,mediaKeys:_}){this.log(`Creating key-system session "${a}" keyId: ${Nt.hexDump(r.keyId||[])}`);const E=_.createSession(),I={decryptdata:r,keySystem:a,mediaKeys:_,mediaKeysSession:E,keyStatus:"status-pending"};return this.mediaKeySessions.push(I),I}renewKeySession(r){const a=r.decryptdata;if(a.pssh){const _=this.createMediaKeySessionContext(r),E=this.getKeyIdString(a),I="cenc";this.keyIdToKeySessionPromise[E]=this.generateRequestWithPreferredKeySession(_,I,a.pssh,"expired")}else this.warn("Could not renew expired session. Missing pssh initData.");this.removeSession(r)}getKeyIdString(r){if(!r)throw new Error("Could not read keyId of undefined decryptdata");if(r.keyId===null)throw new Error("keyId is null");return Nt.hexDump(r.keyId)}updateKeySession(r,a){var _;const E=r.mediaKeysSession;return this.log(`Updating key-session "${E.sessionId}" for keyID ${Nt.hexDump(((_=r.decryptdata)==null?void 0:_.keyId)||[])}
-      } (data length: ${a&&a.byteLength})`),E.update(a)}selectKeySystemFormat(r){const a=Object.keys(r.levelkeys||{});return this.keyFormatPromise||(this.log(`Selecting key-system from fragment (sn: ${r.sn} ${r.type}: ${r.level}) key formats ${a.join(", ")}`),this.keyFormatPromise=this.getKeyFormatPromise(a)),this.keyFormatPromise}getKeyFormatPromise(r){return new Promise((a,_)=>{const E=qt(this.config),I=r.map(Ft).filter(N=>!!N&&E.indexOf(N)!==-1);return this.getKeySystemSelectionPromise(I).then(({keySystem:N})=>{const H=tr(N);H?a(H):_(new Error(`Unable to find format for key-system "${N}"`))}).catch(_)})}loadKey(r){const a=r.keyInfo.decryptdata,_=this.getKeyIdString(a),E=`(keyId: ${_} format: "${a.keyFormat}" method: ${a.method} uri: ${a.uri})`;this.log(`Starting session for key ${E}`);let I=this.keyIdToKeySessionPromise[_];return I||(I=this.keyIdToKeySessionPromise[_]=this.getKeySystemForKeyPromise(a).then(({keySystem:N,mediaKeys:H})=>(this.throwIfDestroyed(),this.log(`Handle encrypted media sn: ${r.frag.sn} ${r.frag.type}: ${r.frag.level} using key ${E}`),this.attemptSetMediaKeys(N,H).then(()=>{this.throwIfDestroyed();const oe=this.createMediaKeySessionContext({keySystem:N,mediaKeys:H,decryptdata:a});return this.generateRequestWithPreferredKeySession(oe,"cenc",a.pssh,"playlist-key")}))),I.catch(N=>this.handleError(N))),I}throwIfDestroyed(r="Invalid state"){if(!this.hls)throw new Error("invalid state")}handleError(r){this.hls&&(this.error(r.message),r instanceof Jo?this.hls.trigger(l.ERROR,r.data):this.hls.trigger(l.ERROR,{type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_NO_KEYS,error:r,fatal:!0}))}getKeySystemForKeyPromise(r){const a=this.getKeyIdString(r),_=this.keyIdToKeySessionPromise[a];if(!_){const E=Ft(r.keyFormat),I=E?[E]:qt(this.config);return this.attemptKeySystemAccess(I)}return _}getKeySystemSelectionPromise(r){if(r.length||(r=qt(this.config)),r.length===0)throw new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_NO_CONFIGURED_LICENSE,fatal:!0},`Missing key-system license configuration options ${JSON.stringify({drmSystems:this.config.drmSystems})}`);return this.attemptKeySystemAccess(r)}attemptSetMediaKeys(r,a){const _=this.setMediaKeysQueue.slice();this.log(`Setting media-keys for "${r}"`);const E=Promise.all(_).then(()=>{if(!this.media)throw new Error("Attempted to set mediaKeys without media element attached");return this.media.setMediaKeys(a)});return this.setMediaKeysQueue.push(E),E.then(()=>{this.log(`Media-keys set for "${r}"`),_.push(E),this.setMediaKeysQueue=this.setMediaKeysQueue.filter(I=>_.indexOf(I)===-1)})}generateRequestWithPreferredKeySession(r,a,_,E){var I,N;const H=(I=this.config.drmSystems)==null||(N=I[r.keySystem])==null?void 0:N.generateRequest;if(H)try{const Xe=H.call(this.hls,a,_,r);if(!Xe)throw new Error("Invalid response from configured generateRequest filter");a=Xe.initDataType,_=r.decryptdata.pssh=Xe.initData?new Uint8Array(Xe.initData):null}catch(Xe){var oe;if(this.warn(Xe.message),(oe=this.hls)!=null&&oe.config.debug)throw Xe}if(_===null)return this.log(`Skipping key-session request for "${E}" (no initData)`),Promise.resolve(r);const he=this.getKeyIdString(r.decryptdata);this.log(`Generating key-session request for "${E}": ${he} (init data type: ${a} length: ${_?_.byteLength:null})`);const be=new Zn,Se=r._onmessage=Xe=>{const lt=r.mediaKeysSession;if(!lt){be.emit("error",new Error("invalid state"));return}const{messageType:vt,message:Qt}=Xe;this.log(`"${vt}" message event for session "${lt.sessionId}" message size: ${Qt.byteLength}`),vt==="license-request"||vt==="license-renewal"?this.renewLicense(r,Qt).catch(yr=>{this.handleError(yr),be.emit("error",yr)}):vt==="license-release"?r.keySystem===Me.FAIRPLAY&&(this.updateKeySession(r,xe("acknowledged")),this.removeSession(r)):this.warn(`unhandled media key message type "${vt}"`)},De=r._onkeystatuseschange=Xe=>{if(!r.mediaKeysSession){be.emit("error",new Error("invalid state"));return}this.onKeyStatusChange(r);const vt=r.keyStatus;be.emit("keyStatus",vt),vt==="expired"&&(this.warn(`${r.keySystem} expired for key ${he}`),this.renewKeySession(r))};r.mediaKeysSession.addEventListener("message",Se),r.mediaKeysSession.addEventListener("keystatuseschange",De);const He=new Promise((Xe,lt)=>{be.on("error",lt),be.on("keyStatus",vt=>{vt.startsWith("usable")?Xe():vt==="output-restricted"?lt(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_STATUS_OUTPUT_RESTRICTED,fatal:!1},"HDCP level output restricted")):vt==="internal-error"?lt(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_STATUS_INTERNAL_ERROR,fatal:!0},`key status changed to "${vt}"`)):vt==="expired"?lt(new Error("key expired while generating request")):this.warn(`unhandled key status change "${vt}"`)})});return r.mediaKeysSession.generateRequest(a,_).then(()=>{var Xe;this.log(`Request generated for key-session "${(Xe=r.mediaKeysSession)==null?void 0:Xe.sessionId}" keyId: ${he}`)}).catch(Xe=>{throw new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_NO_SESSION,error:Xe,fatal:!1},`Error generating key-session request: ${Xe}`)}).then(()=>He).catch(Xe=>{throw be.removeAllListeners(),this.removeSession(r),Xe}).then(()=>(be.removeAllListeners(),r))}onKeyStatusChange(r){r.mediaKeysSession.keyStatuses.forEach((a,_)=>{this.log(`key status change "${a}" for keyStatuses keyId: ${Nt.hexDump("buffer"in _?new Uint8Array(_.buffer,_.byteOffset,_.byteLength):new Uint8Array(_))} session keyId: ${Nt.hexDump(new Uint8Array(r.decryptdata.keyId||[]))} uri: ${r.decryptdata.uri}`),r.keyStatus=a})}fetchServerCertificate(r){const a=this.config,_=a.loader,E=new _(a),I=this.getServerCertificateUrl(r);return I?(this.log(`Fetching server certificate for "${r}"`),new Promise((N,H)=>{const oe={responseType:"arraybuffer",url:I},he=a.certLoadPolicy.default,be={loadPolicy:he,timeout:he.maxLoadTimeMs,maxRetry:0,retryDelay:0,maxRetryDelay:0},Se={onSuccess:(De,He,Xe,lt)=>{N(De.data)},onError:(De,He,Xe,lt)=>{H(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_SERVER_CERTIFICATE_REQUEST_FAILED,fatal:!0,networkDetails:Xe,response:f({url:oe.url,data:void 0},De)},`"${r}" certificate request failed (${I}). Status: ${De.code} (${De.text})`))},onTimeout:(De,He,Xe)=>{H(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_SERVER_CERTIFICATE_REQUEST_FAILED,fatal:!0,networkDetails:Xe,response:{url:oe.url,data:void 0}},`"${r}" certificate request timed out (${I})`))},onAbort:(De,He,Xe)=>{H(new Error("aborted"))}};E.load(oe,be,Se)})):Promise.resolve()}setMediaKeysServerCertificate(r,a,_){return new Promise((E,I)=>{r.setServerCertificate(_).then(N=>{this.log(`setServerCertificate ${N?"success":"not supported by CDM"} (${_==null?void 0:_.byteLength}) on "${a}"`),E(r)}).catch(N=>{I(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_SERVER_CERTIFICATE_UPDATE_FAILED,error:N,fatal:!0},N.message))})})}renewLicense(r,a){return this.requestLicense(r,new Uint8Array(a)).then(_=>this.updateKeySession(r,new Uint8Array(_)).catch(E=>{throw new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_SESSION_UPDATE_FAILED,error:E,fatal:!0},E.message)}))}unpackPlayReadyKeyMessage(r,a){const _=String.fromCharCode.apply(null,new Uint16Array(a.buffer));if(!_.includes("PlayReadyKeyMessage"))return r.setRequestHeader("Content-Type","text/xml; charset=utf-8"),a;const E=new DOMParser().parseFromString(_,"application/xml"),I=E.querySelectorAll("HttpHeader");if(I.length>0){let be;for(let Se=0,De=I.length;Se<De;Se++){var N,H;be=I[Se];const He=(N=be.querySelector("name"))==null?void 0:N.textContent,Xe=(H=be.querySelector("value"))==null?void 0:H.textContent;He&&Xe&&r.setRequestHeader(He,Xe)}}const oe=E.querySelector("Challenge"),he=oe==null?void 0:oe.textContent;if(!he)throw new Error("Cannot find <Challenge> in key message");return xe(atob(he))}setupLicenseXHR(r,a,_,E){const I=this.config.licenseXhrSetup;return I?Promise.resolve().then(()=>{if(!_.decryptdata)throw new Error("Key removed");return I.call(this.hls,r,a,_,E)}).catch(N=>{if(!_.decryptdata)throw N;return r.open("POST",a,!0),I.call(this.hls,r,a,_,E)}).then(N=>(r.readyState||r.open("POST",a,!0),{xhr:r,licenseChallenge:N||E})):(r.open("POST",a,!0),Promise.resolve({xhr:r,licenseChallenge:E}))}requestLicense(r,a){const _=this.config.keyLoadPolicy.default;return new Promise((E,I)=>{const N=this.getLicenseServerUrlOrThrow(r.keySystem);this.log(`Sending license request to URL: ${N}`);const H=new XMLHttpRequest;H.responseType="arraybuffer",H.onreadystatechange=()=>{if(!this.hls||!r.mediaKeysSession)return I(new Error("invalid state"));if(H.readyState===4)if(H.status===200){this._requestLicenseFailureCount=0;let oe=H.response;this.log(`License received ${oe instanceof ArrayBuffer?oe.byteLength:oe}`);const he=this.config.licenseResponseCallback;if(he)try{oe=he.call(this.hls,H,N,r)}catch(be){this.error(be)}E(oe)}else{const oe=_.errorRetry,he=oe?oe.maxNumRetry:0;if(this._requestLicenseFailureCount++,this._requestLicenseFailureCount>he||H.status>=400&&H.status<500)I(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_LICENSE_REQUEST_FAILED,fatal:!0,networkDetails:H,response:{url:N,data:void 0,code:H.status,text:H.statusText}},`License Request XHR failed (${N}). Status: ${H.status} (${H.statusText})`));else{const be=he-this._requestLicenseFailureCount+1;this.warn(`Retrying license request, ${be} attempts left`),this.requestLicense(r,a).then(E,I)}}},r.licenseXhr&&r.licenseXhr.readyState!==XMLHttpRequest.DONE&&r.licenseXhr.abort(),r.licenseXhr=H,this.setupLicenseXHR(H,N,r,a).then(({xhr:oe,licenseChallenge:he})=>{r.keySystem==Me.PLAYREADY&&(he=this.unpackPlayReadyKeyMessage(oe,he)),oe.send(he)})})}onMediaAttached(r,a){if(!this.config.emeEnabled)return;const _=a.media;this.media=_,_.removeEventListener("encrypted",this.onMediaEncrypted),_.removeEventListener("waitingforkey",this.onWaitingForKey),_.addEventListener("encrypted",this.onMediaEncrypted),_.addEventListener("waitingforkey",this.onWaitingForKey)}onMediaDetached(){const r=this.media,a=this.mediaKeySessions;r&&(r.removeEventListener("encrypted",this.onMediaEncrypted),r.removeEventListener("waitingforkey",this.onWaitingForKey),this.media=null),this._requestLicenseFailureCount=0,this.setMediaKeysQueue=[],this.mediaKeySessions=[],this.keyIdToKeySessionPromise={},Mr.clearKeyUriToKeyIdMap();const _=a.length;nl.CDMCleanupPromise=Promise.all(a.map(E=>this.removeSession(E)).concat(r==null?void 0:r.setMediaKeys(null).catch(E=>{this.log(`Could not clear media keys: ${E}`)}))).then(()=>{_&&(this.log("finished closing key sessions and clearing media keys"),a.length=0)}).catch(E=>{this.log(`Could not close sessions and clear media keys: ${E}`)})}onManifestLoading(){this.keyFormatPromise=null}onManifestLoaded(r,{sessionKeys:a}){if(!(!a||!this.config.emeEnabled)&&!this.keyFormatPromise){const _=a.reduce((E,I)=>(E.indexOf(I.keyFormat)===-1&&E.push(I.keyFormat),E),[]);this.log(`Selecting key-system from session-keys ${_.join(", ")}`),this.keyFormatPromise=this.getKeyFormatPromise(_)}}removeSession(r){const{mediaKeysSession:a,licenseXhr:_}=r;if(a){this.log(`Remove licenses and keys and close session ${a.sessionId}`),r._onmessage&&(a.removeEventListener("message",r._onmessage),r._onmessage=void 0),r._onkeystatuseschange&&(a.removeEventListener("keystatuseschange",r._onkeystatuseschange),r._onkeystatuseschange=void 0),_&&_.readyState!==XMLHttpRequest.DONE&&_.abort(),r.mediaKeysSession=r.decryptdata=r.licenseXhr=void 0;const E=this.mediaKeySessions.indexOf(r);return E>-1&&this.mediaKeySessions.splice(E,1),a.remove().catch(I=>{this.log(`Could not remove session: ${I}`)}).then(()=>a.close()).catch(I=>{this.log(`Could not close session: ${I}`)})}}}nl.CDMCleanupPromise=void 0;class Jo extends Error{constructor(r,a){super(a),this.data=void 0,r.error||(r.error=new Error(a)),this.data=r,r.err=r.error}}var go;(function(j){j.MANIFEST="m",j.AUDIO="a",j.VIDEO="v",j.MUXED="av",j.INIT="i",j.CAPTION="c",j.TIMED_TEXT="tt",j.KEY="k",j.OTHER="o"})(go||(go={}));var Jl;(function(j){j.DASH="d",j.HLS="h",j.SMOOTH="s",j.OTHER="o"})(Jl||(Jl={}));var zu;(function(j){j.OBJECT="CMCD-Object",j.REQUEST="CMCD-Request",j.SESSION="CMCD-Session",j.STATUS="CMCD-Status"})(zu||(zu={}));const hu={[zu.OBJECT]:["br","d","ot","tb"],[zu.REQUEST]:["bl","dl","mtp","nor","nrr","su"],[zu.SESSION]:["cid","pr","sf","sid","st","v"],[zu.STATUS]:["bs","rtp"]};class ou{constructor(r,a){this.value=void 0,this.params=void 0,Array.isArray(r)&&(r=r.map(_=>_ instanceof ou?_:new ou(_))),this.value=r,this.params=a}}class Dl{constructor(r){this.description=void 0,this.description=r}}const Zu="Dict";function hc(j){return Array.isArray(j)?JSON.stringify(j):j instanceof Map?"Map{}":j instanceof Set?"Set{}":typeof j=="object"?JSON.stringify(j):String(j)}function Sc(j,r,a,_){return new Error(`failed to ${j} "${hc(r)}" as 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r=this.hls;r.off(l.MEDIA_ATTACHED,this.onMediaAttached,this),r.off(l.MEDIA_DETACHED,this.onMediaDetached,this),r.off(l.BUFFER_CREATED,this.onBufferCreated,this)}destroy(){this.unregisterListeners(),this.onMediaDetached(),this.hls=this.config=this.audioBuffer=this.videoBuffer=null,this.onWaiting=this.onPlaying=null}onMediaAttached(r,a){this.media=a.media,this.media.addEventListener("waiting",this.onWaiting),this.media.addEventListener("playing",this.onPlaying)}onMediaDetached(){this.media&&(this.media.removeEventListener("waiting",this.onWaiting),this.media.removeEventListener("playing",this.onPlaying),this.media=null)}onBufferCreated(r,a){var _,E;this.audioBuffer=(_=a.tracks.audio)==null?void 0:_.buffer,this.videoBuffer=(E=a.tracks.video)==null?void 0:E.buffer}createData(){var r;return{v:1,sf:Jl.HLS,sid:this.sid,cid:this.cid,pr:(r=this.media)==null?void 0:r.playbackRate,mtp:this.hls.bandwidthEstimate/1e3}}apply(r,a={}){i(a,this.createData());const _=a.ot===go.INIT||a.ot===go.VIDEO||a.ot===go.MUXED;this.starved&&_&&(a.bs=!0,a.su=!0,this.starved=!1),a.su==null&&(a.su=this.buffering);const{includeKeys:E}=this;E&&(a=Object.keys(a).reduce((I,N)=>(E.includes(N)&&(I[N]=a[N]),I),{})),this.useHeaders?(r.headers||(r.headers={}),Oc(r.headers,a)):r.url=Pc(r.url,a)}getObjectType(r){const{type:a}=r;if(a==="subtitle")return go.TIMED_TEXT;if(r.sn==="initSegment")return go.INIT;if(a==="audio")return go.AUDIO;if(a==="main")return this.hls.audioTracks.length?go.VIDEO:go.MUXED}getTopBandwidth(r){let a=0,_;const E=this.hls;if(r===go.AUDIO)_=E.audioTracks;else{const I=E.maxAutoLevel,N=I>-1?I+1:E.levels.length;_=E.levels.slice(0,N)}for(const I of _)I.bitrate>a&&(a=I.bitrate);return a>0?a:NaN}getBufferLength(r){const 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0:_.action)===Yn.SendAlternateToPenaltyBox&&_.flags===va.MoveAllAlternatesMatchingHost){const E=this.levels;let I=this.pathwayPriority,N=this.pathwayId;if(a.context){const{groupId:H,pathwayId:oe,type:he}=a.context;H&&E?N=this.getPathwayForGroupId(H,he,N):oe&&(N=oe)}N in this.penalizedPathways||(this.penalizedPathways[N]=performance.now()),!I&&E&&(I=E.reduce((H,oe)=>(H.indexOf(oe.pathwayId)===-1&&H.push(oe.pathwayId),H),[])),I&&I.length>1&&(this.updatePathwayPriority(I),_.resolved=this.pathwayId!==N),_.resolved||R.warn(`Could not resolve ${a.details} ("${a.error.message}") with content-steering for Pathway: ${N} levels: ${E&&E.length} priorities: ${JSON.stringify(I)} penalized: ${JSON.stringify(this.penalizedPathways)}`)}}filterParsedLevels(r){this.levels=r;let a=this.getLevelsForPathway(this.pathwayId);if(a.length===0){const _=r[0].pathwayId;this.log(`No levels found in Pathway ${this.pathwayId}. 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oe=I.loadPolicy.errorRetry,he=_.retry,be={url:r.url,data:void 0,code:N};fo(oe,he,!1,be)?this.retry(oe):(R.error(`${N} while loading ${r.url}`),this.callbacks.onError({code:N,text:a.statusText},r,a,_))}}loadtimeout(){if(!this.config)return;const r=this.config.loadPolicy.timeoutRetry,a=this.stats.retry;if(fo(r,a,!0))this.retry(r);else{var _;R.warn(`timeout while loading ${(_=this.context)==null?void 0:_.url}`);const E=this.callbacks;E&&(this.abortInternal(),E.onTimeout(this.stats,this.context,this.loader))}}retry(r){const{context:a,stats:_}=this;this.retryDelay=Ks(r,_.retry),_.retry++,R.warn(`${status?"HTTP Status "+status:"Timeout"} while loading ${a==null?void 0:a.url}, retrying ${_.retry}/${r.maxNumRetry} in ${this.retryDelay}ms`),this.abortInternal(),this.loader=null,self.clearTimeout(this.retryTimeout),this.retryTimeout=self.setTimeout(this.loadInternal.bind(this),this.retryDelay)}loadprogress(r){const a=this.stats;a.loaded=r.loaded,r.lengthComputable&&(a.total=r.total)}getCacheAge(){let r=null;if(this.loader&&tc.test(this.loader.getAllResponseHeaders())){const a=this.loader.getResponseHeader("age");r=a?parseFloat(a):null}return r}getResponseHeader(r){return this.loader&&new RegExp(`^${r}:\\s*[\\d.]+\\s*$`,"im").test(this.loader.getAllResponseHeaders())?this.loader.getResponseHeader(r):null}}function A(){if(self.fetch&&self.AbortController&&self.ReadableStream&&self.Request)try{return new self.ReadableStream({}),!0}catch(j){}return!1}const P=/(\d+)-(\d+)\/(\d+)/;class D{constructor(r){this.fetchSetup=void 0,this.requestTimeout=void 0,this.request=null,this.response=null,this.controller=void 0,this.context=null,this.config=null,this.callbacks=null,this.stats=void 0,this.loader=null,this.fetchSetup=r.fetchSetup||zn,this.controller=new self.AbortController,this.stats=new Q}destroy(){this.loader=this.callbacks=this.context=this.config=this.request=null,this.abortInternal(),this.response=null,this.fetchSetup=this.controller=this.stats=null}abortInternal(){this.controller&&!this.stats.loading.end&&(this.stats.aborted=!0,this.controller.abort())}abort(){var r;this.abortInternal(),(r=this.callbacks)!=null&&r.onAbort&&this.callbacks.onAbort(this.stats,this.context,this.response)}load(r,a,_){const E=this.stats;if(E.loading.start)throw new Error("Loader can only be used once.");E.loading.start=self.performance.now();const I=pe(r,this.controller.signal),N=_.onProgress,H=r.responseType==="arraybuffer",oe=H?"byteLength":"length",{maxTimeToFirstByteMs:he,maxLoadTimeMs:be}=a.loadPolicy;this.context=r,this.config=a,this.callbacks=_,this.request=this.fetchSetup(r,I),self.clearTimeout(this.requestTimeout),a.timeout=he&&y(he)?he:be,this.requestTimeout=self.setTimeout(()=>{this.abortInternal(),_.onTimeout(E,r,this.response)},a.timeout),self.fetch(this.request).then(Se=>{this.response=this.loader=Se;const De=Math.max(self.performance.now(),E.loading.start);if(self.clearTimeout(this.requestTimeout),a.timeout=be,this.requestTimeout=self.setTimeout(()=>{this.abortInternal(),_.onTimeout(E,r,this.response)},be-(De-E.loading.start)),!Se.ok){const{status:He,statusText:Xe}=Se;throw new dn(Xe||"fetch, bad network response",He,Se)}return E.loading.first=De,E.total=an(Se.headers)||E.total,N&&y(a.highWaterMark)?this.loadProgressively(Se,E,r,a.highWaterMark,N):H?Se.arrayBuffer():r.responseType==="json"?Se.json():Se.text()}).then(Se=>{const De=this.response;if(!De)throw new Error("loader destroyed");self.clearTimeout(this.requestTimeout),E.loading.end=Math.max(self.performance.now(),E.loading.first);const He=Se[oe];He&&(E.loaded=E.total=He);const Xe={url:De.url,data:Se,code:De.status};N&&!y(a.highWaterMark)&&N(E,r,Se,De),_.onSuccess(Xe,E,r,De)}).catch(Se=>{if(self.clearTimeout(this.requestTimeout),E.aborted)return;const De=Se&&Se.code||0,He=Se?Se.message:null;_.onError({code:De,text:He},r,Se?Se.details:null,E)})}getCacheAge(){let r=null;if(this.response){const a=this.response.headers.get("age");r=a?parseFloat(a):null}return r}getResponseHeader(r){return this.response?this.response.headers.get(r):null}loadProgressively(r,a,_,E=0,I){const N=new Bs,H=r.body.getReader(),oe=()=>H.read().then(he=>{if(he.done)return N.dataLength&&I(a,_,N.flush(),r),Promise.resolve(new ArrayBuffer(0));const be=he.value,Se=be.length;return a.loaded+=Se,Se<E||N.dataLength?(N.push(be),N.dataLength>=E&&I(a,_,N.flush(),r)):I(a,_,be,r),oe()}).catch(()=>Promise.reject());return oe()}}function pe(j,r){const a={method:"GET",mode:"cors",credentials:"same-origin",signal:r,headers:new self.Headers(i({},j.headers))};return j.rangeEnd&&a.headers.set("Range","bytes="+j.rangeStart+"-"+String(j.rangeEnd-1)),a}function Oe(j){const r=P.exec(j);if(r)return parseInt(r[2])-parseInt(r[1])+1}function an(j){const r=j.get("Content-Range");if(r){const _=Oe(r);if(y(_))return _}const a=j.get("Content-Length");if(a)return parseInt(a)}function zn(j,r){return new self.Request(j.url,r)}class dn extends Error{constructor(r,a,_){super(r),this.code=void 0,this.details=void 0,this.code=a,this.details=_}}const Mi=/\s/,Qa={newCue(j,r,a,_){const E=[];let I,N,H,oe,he;const be=self.VTTCue||self.TextTrackCue;for(let De=0;De<_.rows.length;De++)if(I=_.rows[De],H=!0,oe=0,he="",!I.isEmpty()){var Se;for(let lt=0;lt<I.chars.length;lt++)Mi.test(I.chars[lt].uchar)&&H?oe++:(he+=I.chars[lt].uchar,H=!1);I.cueStartTime=r,r===a&&(a+=1e-4),oe>=16?oe--:oe++;const He=Wl(he.trim()),Xe=ju(r,a,He);j!=null&&(Se=j.cues)!=null&&Se.getCueById(Xe)||(N=new be(r,a,He),N.id=Xe,N.line=De+1,N.align="left",N.position=10+Math.min(80,Math.floor(oe*8/32)*10),E.push(N))}return j&&E.length&&(E.sort((De,He)=>De.line==="auto"||He.line==="auto"?0:De.line>8&&He.line>8?He.line-De.line:De.line-He.line),E.forEach(De=>Hr(j,De))),E}},Oa={maxTimeToFirstByteMs:8e3,maxLoadTimeMs:2e4,timeoutRetry:null,errorRetry:null},To=f(f({autoStartLoad:!0,startPosition:-1,defaultAudioCodec:void 0,debug:!1,capLevelOnFPSDrop:!1,capLevelToPlayerSize:!1,ignoreDevicePixelRatio:!1,preferManagedMediaSource:!0,initialLiveManifestSize:1,maxBufferLength:30,backBufferLength:1/0,frontBufferFlushThreshold:1/0,maxBufferSize:60*1e3*1e3,maxBufferHole:.1,highBufferWatchdogPeriod:2,nudgeOffset:.1,nudgeMaxRetry:3,maxFragLookUpTolerance:.25,liveSyncDurationCount:3,liveMaxLatencyDurationCount:1/0,liveSyncDuration:void 0,liveMaxLatencyDuration:void 0,maxLiveSyncPlaybackRate:1,liveDurationInfinity:!1,liveBackBufferLength:null,maxMaxBufferLength:600,enableWorker:!0,workerPath:null,enableSoftwareAES:!0,startLevel:void 0,startFragPrefetch:!1,fpsDroppedMonitoringPeriod:5e3,fpsDroppedMonitoringThreshold:.2,appendErrorMaxRetry:3,loader:vc,fLoader:void 0,pLoader:void 0,xhrSetup:void 0,licenseXhrSetup:void 0,licenseResponseCallback:void 0,abrController:Bo,bufferController:mo,capLevelController:dc,errorController:ts,fpsController:Ql,stretchShortVideoTrack:!1,maxAudioFramesDrift:1,forceKeyFrameOnDiscontinuity:!0,abrEwmaFastLive:3,abrEwmaSlowLive:9,abrEwmaFastVoD:3,abrEwmaSlowVoD:9,abrEwmaDefaultEstimate:5e5,abrEwmaDefaultEstimateMax:5e6,abrBandWidthFactor:.95,abrBandWidthUpFactor:.7,abrMaxWithRealBitrate:!1,maxStarvationDelay:4,maxLoadingDelay:4,minAutoBitrate:0,emeEnabled:!1,widevineLicenseUrl:void 0,drmSystems:{},drmSystemOptions:{},requestMediaKeySystemAccessFunc:cr,testBandwidth:!0,progressive:!1,lowLatencyMode:!0,cmcd:void 0,enableDateRangeMetadataCues:!0,enableEmsgMetadataCues:!0,enableID3MetadataCues:!0,useMediaCapabilities:!0,certLoadPolicy:{default:Oa},keyLoadPolicy:{default:{maxTimeToFirstByteMs:8e3,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:2e4,backoff:"linear"},errorRetry:{maxNumRetry:8,retryDelayMs:1e3,maxRetryDelayMs:2e4,backoff:"linear"}}},manifestLoadPolicy:{default:{maxTimeToFirstByteMs:1/0,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},playlistLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:2,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},fragLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:12e4,timeoutRetry:{maxNumRetry:4,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:6,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},steeringManifestLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},manifestLoadingTimeOut:1e4,manifestLoadingMaxRetry:1,manifestLoadingRetryDelay:1e3,manifestLoadingMaxRetryTimeout:64e3,levelLoadingTimeOut:1e4,levelLoadingMaxRetry:4,levelLoadingRetryDelay:1e3,levelLoadingMaxRetryTimeout:64e3,fragLoadingTimeOut:2e4,fragLoadingMaxRetry:6,fragLoadingRetryDelay:1e3,fragLoadingMaxRetryTimeout:64e3},ds()),{},{subtitleStreamController:cs,subtitleTrackController:Hs,timelineController:Ma,audioStreamController:ha,audioTrackController:gs,emeController:nl,cmcdController:mc,contentSteeringController:Nl});function ds(){return{cueHandler:Qa,enableWebVTT:!0,enableIMSC1:!0,enableCEA708Captions:!0,captionsTextTrack1Label:"English",captionsTextTrack1LanguageCode:"en",captionsTextTrack2Label:"Spanish",captionsTextTrack2LanguageCode:"es",captionsTextTrack3Label:"Unknown CC",captionsTextTrack3LanguageCode:"",captionsTextTrack4Label:"Unknown CC",captionsTextTrack4LanguageCode:"",renderTextTracksNatively:!0}}function yo(j,r){if((r.liveSyncDurationCount||r.liveMaxLatencyDurationCount)&&(r.liveSyncDuration||r.liveMaxLatencyDuration))throw new Error("Illegal hls.js config: don't mix up liveSyncDurationCount/liveMaxLatencyDurationCount and liveSyncDuration/liveMaxLatencyDuration");if(r.liveMaxLatencyDurationCount!==void 0&&(r.liveSyncDurationCount===void 0||r.liveMaxLatencyDurationCount<=r.liveSyncDurationCount))throw new Error('Illegal hls.js config: "liveMaxLatencyDurationCount" must be greater than "liveSyncDurationCount"');if(r.liveMaxLatencyDuration!==void 0&&(r.liveSyncDuration===void 0||r.liveMaxLatencyDuration<=r.liveSyncDuration))throw new Error('Illegal hls.js config: "liveMaxLatencyDuration" must be greater than "liveSyncDuration"');const a=ys(j),_=["manifest","level","frag"],E=["TimeOut","MaxRetry","RetryDelay","MaxRetryTimeout"];return _.forEach(I=>{const N=`${I==="level"?"playlist":I}LoadPolicy`,H=r[N]===void 0,oe=[];E.forEach(he=>{const be=`${I}Loading${he}`,Se=r[be];if(Se!==void 0&&H){oe.push(be);const De=a[N].default;switch(r[N]={default:De},he){case"TimeOut":De.maxLoadTimeMs=Se,De.maxTimeToFirstByteMs=Se;break;case"MaxRetry":De.errorRetry.maxNumRetry=Se,De.timeoutRetry.maxNumRetry=Se;break;case"RetryDelay":De.errorRetry.retryDelayMs=Se,De.timeoutRetry.retryDelayMs=Se;break;case"MaxRetryTimeout":De.errorRetry.maxRetryDelayMs=Se,De.timeoutRetry.maxRetryDelayMs=Se;break}}}),oe.length&&R.warn(`hls.js config: "${oe.join('", "')}" setting(s) are deprecated, use "${N}": ${JSON.stringify(r[N])}`)}),f(f({},a),r)}function ys(j){return j&&typeof j=="object"?Array.isArray(j)?j.map(ys):Object.keys(j).reduce((r,a)=>(r[a]=ys(j[a]),r),{}):j}function gc(j){const r=j.loader;r!==D&&r!==vc?(R.log("[config]: Custom loader detected, cannot enable progressive streaming"),j.progressive=!1):A()&&(j.loader=D,j.progressive=!0,j.enableSoftwareAES=!0,R.log("[config]: Progressive streaming enabled, using FetchLoader"))}let $l;class rc extends Ka{constructor(r,a){super(r,"[level-controller]"),this._levels=[],this._firstLevel=-1,this._maxAutoLevel=-1,this._startLevel=void 0,this.currentLevel=null,this.currentLevelIndex=-1,this.manualLevelIndex=-1,this.steering=void 0,this.onParsedComplete=void 0,this.steering=a,this._registerListeners()}_registerListeners(){const{hls:r}=this;r.on(l.MANIFEST_LOADING,this.onManifestLoading,this),r.on(l.MANIFEST_LOADED,this.onManifestLoaded,this),r.on(l.LEVEL_LOADED,this.onLevelLoaded,this),r.on(l.LEVELS_UPDATED,this.onLevelsUpdated,this),r.on(l.FRAG_BUFFERED,this.onFragBuffered,this),r.on(l.ERROR,this.onError,this)}_unregisterListeners(){const{hls:r}=this;r.off(l.MANIFEST_LOADING,this.onManifestLoading,this),r.off(l.MANIFEST_LOADED,this.onManifestLoaded,this),r.off(l.LEVEL_LOADED,this.onLevelLoaded,this),r.off(l.LEVELS_UPDATED,this.onLevelsUpdated,this),r.off(l.FRAG_BUFFERED,this.onFragBuffered,this),r.off(l.ERROR,this.onError,this)}destroy(){this._unregisterListeners(),this.steering=null,this.resetLevels(),super.destroy()}stopLoad(){this._levels.forEach(a=>{a.loadError=0,a.fragmentError=0}),super.stopLoad()}resetLevels(){this._startLevel=void 0,this.manualLevelIndex=-1,this.currentLevelIndex=-1,this.currentLevel=null,this._levels=[],this._maxAutoLevel=-1}onManifestLoading(r,a){this.resetLevels()}onManifestLoaded(r,a){const _=this.hls.config.preferManagedMediaSource,E=[],I={},N={};let H=!1,oe=!1,he=!1;a.levels.forEach(be=>{var Se,De;const He=be.attrs;let{audioCodec:Xe,videoCodec:lt}=be;((Se=Xe)==null?void 0:Se.indexOf("mp4a.40.34"))!==-1&&($l||($l=/chrome|firefox/i.test(navigator.userAgent)),$l&&(be.audioCodec=Xe=void 0)),Xe&&(be.audioCodec=Xe=wi(Xe,_)),((De=lt)==null?void 0:De.indexOf("avc1"))===0&&(lt=be.videoCodec=Ji(lt));const{width:vt,height:Qt,unknownCodecs:yr}=be;if(H||(H=!!(vt&&Qt)),oe||(oe=!!lt),he||(he=!!Xe),yr!=null&&yr.length||Xe&&!yi(Xe,"audio",_)||lt&&!yi(lt,"video",_))return;const{CODECS:Tr,"FRAME-RATE":Wr,"HDCP-LEVEL":Br,"PATHWAY-ID":Cn,RESOLUTION:un,"VIDEO-RANGE":Hn}=He,En=`${`${Cn||"."}-`}${be.bitrate}-${un}-${Wr}-${Tr}-${Hn}-${Br}`;if(I[En])if(I[En].uri!==be.url&&!be.attrs["PATHWAY-ID"]){const qn=N[En]+=1;be.attrs["PATHWAY-ID"]=new Array(qn+1).join(".");const Ta=new Fa(be);I[En]=Ta,E.push(Ta)}else I[En].addGroupId("audio",He.AUDIO),I[En].addGroupId("text",He.SUBTITLES);else{const qn=new Fa(be);I[En]=qn,N[En]=1,E.push(qn)}}),this.filterAndSortMediaOptions(E,a,H,oe,he)}filterAndSortMediaOptions(r,a,_,E,I){let N=[],H=[],oe=r;if((_||E)&&I&&(oe=oe.filter(({videoCodec:Xe,videoRange:lt,width:vt,height:Qt})=>(!!Xe||!!(vt&&Qt))&&es(lt))),oe.length===0){Promise.resolve().then(()=>{if(this.hls){a.levels.length&&this.warn(`One or more CODECS in variant not supported: ${JSON.stringify(a.levels[0].attrs)}`);const Xe=new Error("no level with compatible codecs found in manifest");this.hls.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.MANIFEST_INCOMPATIBLE_CODECS_ERROR,fatal:!0,url:a.url,error:Xe,reason:Xe.message})}});return}if(a.audioTracks){const{preferManagedMediaSource:Xe}=this.hls.config;N=a.audioTracks.filter(lt=>!lt.audioCodec||yi(lt.audioCodec,"audio",Xe)),nc(N)}a.subtitles&&(H=a.subtitles,nc(H));const he=oe.slice(0);oe.sort((Xe,lt)=>{if(Xe.attrs["HDCP-LEVEL"]!==lt.attrs["HDCP-LEVEL"])return(Xe.attrs["HDCP-LEVEL"]||"")>(lt.attrs["HDCP-LEVEL"]||"")?1:-1;if(_&&Xe.height!==lt.height)return Xe.height-lt.height;if(Xe.frameRate!==lt.frameRate)return Xe.frameRate-lt.frameRate;if(Xe.videoRange!==lt.videoRange)return Ds.indexOf(Xe.videoRange)-Ds.indexOf(lt.videoRange);if(Xe.videoCodec!==lt.videoCodec){const vt=oi(Xe.videoCodec),Qt=oi(lt.videoCodec);if(vt!==Qt)return Qt-vt}if(Xe.uri===lt.uri&&Xe.codecSet!==lt.codecSet){const vt=Wi(Xe.codecSet),Qt=Wi(lt.codecSet);if(vt!==Qt)return Qt-vt}return Xe.averageBitrate!==lt.averageBitrate?Xe.averageBitrate-lt.averageBitrate:0});let be=he[0];if(this.steering&&(oe=this.steering.filterParsedLevels(oe),oe.length!==he.length)){for(let Xe=0;Xe<he.length;Xe++)if(he[Xe].pathwayId===oe[0].pathwayId){be=he[Xe];break}}this._levels=oe;for(let Xe=0;Xe<oe.length;Xe++)if(oe[Xe]===be){var Se;this._firstLevel=Xe;const lt=be.bitrate,vt=this.hls.bandwidthEstimate;if(this.log(`manifest loaded, ${oe.length} level(s) found, first bitrate: ${lt}`),((Se=this.hls.userConfig)==null?void 0:Se.abrEwmaDefaultEstimate)===void 0){const Qt=Math.min(lt,this.hls.config.abrEwmaDefaultEstimateMax);Qt>vt&&vt===To.abrEwmaDefaultEstimate&&(this.hls.bandwidthEstimate=Qt)}break}const De=I&&!E,He={levels:oe,audioTracks:N,subtitleTracks:H,sessionData:a.sessionData,sessionKeys:a.sessionKeys,firstLevel:this._firstLevel,stats:a.stats,audio:I,video:E,altAudio:!De&&N.some(Xe=>!!Xe.url)};this.hls.trigger(l.MANIFEST_PARSED,He),(this.hls.config.autoStartLoad||this.hls.forceStartLoad)&&this.hls.startLoad(this.hls.config.startPosition)}get levels(){return this._levels.length===0?null:this._levels}get level(){return this.currentLevelIndex}set level(r){const a=this._levels;if(a.length===0)return;if(r<0||r>=a.length){const be=new Error("invalid level idx"),Se=r<0;if(this.hls.trigger(l.ERROR,{type:b.OTHER_ERROR,details:x.LEVEL_SWITCH_ERROR,level:r,fatal:Se,error:be,reason:be.message}),Se)return;r=Math.min(r,a.length-1)}const _=this.currentLevelIndex,E=this.currentLevel,I=E?E.attrs["PATHWAY-ID"]:void 0,N=a[r],H=N.attrs["PATHWAY-ID"];if(this.currentLevelIndex=r,this.currentLevel=N,_===r&&N.details&&E&&I===H)return;this.log(`Switching to level ${r} (${N.height?N.height+"p ":""}${N.videoRange?N.videoRange+" ":""}${N.codecSet?N.codecSet+" ":""}@${N.bitrate})${H?" with Pathway "+H:""} from level ${_}${I?" with Pathway "+I:""}`);const oe={level:r,attrs:N.attrs,details:N.details,bitrate:N.bitrate,averageBitrate:N.averageBitrate,maxBitrate:N.maxBitrate,realBitrate:N.realBitrate,width:N.width,height:N.height,codecSet:N.codecSet,audioCodec:N.audioCodec,videoCodec:N.videoCodec,audioGroups:N.audioGroups,subtitleGroups:N.subtitleGroups,loaded:N.loaded,loadError:N.loadError,fragmentError:N.fragmentError,name:N.name,id:N.id,uri:N.uri,url:N.url,urlId:0,audioGroupIds:N.audioGroupIds,textGroupIds:N.textGroupIds};this.hls.trigger(l.LEVEL_SWITCHING,oe);const he=N.details;if(!he||he.live){const be=this.switchParams(N.uri,E==null?void 0:E.details,he);this.loadPlaylist(be)}}get manualLevel(){return this.manualLevelIndex}set manualLevel(r){this.manualLevelIndex=r,this._startLevel===void 0&&(this._startLevel=r),r!==-1&&(this.level=r)}get firstLevel(){return this._firstLevel}set firstLevel(r){this._firstLevel=r}get startLevel(){if(this._startLevel===void 0){const r=this.hls.config.startLevel;return r!==void 0?r:this.hls.firstAutoLevel}return this._startLevel}set startLevel(r){this._startLevel=r}onError(r,a){a.fatal||!a.context||a.context.type===ye.LEVEL&&a.context.level===this.level&&this.checkRetry(a)}onFragBuffered(r,{frag:a}){if(a!==void 0&&a.type===Ye.MAIN){const _=a.elementaryStreams;if(!Object.keys(_).some(I=>!!_[I]))return;const E=this._levels[a.level];E!=null&&E.loadError&&(this.log(`Resetting level error count of ${E.loadError} on frag buffered`),E.loadError=0)}}onLevelLoaded(r,a){var _;const{level:E,details:I}=a,N=this._levels[E];if(!N){var H;this.warn(`Invalid level index ${E}`),(H=a.deliveryDirectives)!=null&&H.skip&&(I.deltaUpdateFailed=!0);return}E===this.currentLevelIndex?(N.fragmentError===0&&(N.loadError=0),this.playlistLoaded(E,a,N.details)):(_=a.deliveryDirectives)!=null&&_.skip&&(I.deltaUpdateFailed=!0)}loadPlaylist(r){super.loadPlaylist();const a=this.currentLevelIndex,_=this.currentLevel;if(_&&this.shouldLoadPlaylist(_)){let E=_.uri;if(r)try{E=r.addDirectives(E)}catch(N){this.warn(`Could not construct new URL with HLS Delivery Directives: ${N}`)}const I=_.attrs["PATHWAY-ID"];this.log(`Loading level index ${a}${(r==null?void 0:r.msn)!==void 0?" at sn "+r.msn+" part "+r.part:""} with${I?" Pathway "+I:""} ${E}`),this.clearTimer(),this.hls.trigger(l.LEVEL_LOADING,{url:E,level:a,pathwayId:_.attrs["PATHWAY-ID"],id:0,deliveryDirectives:r||null})}}get nextLoadLevel(){return this.manualLevelIndex!==-1?this.manualLevelIndex:this.hls.nextAutoLevel}set nextLoadLevel(r){this.level=r,this.manualLevelIndex===-1&&(this.hls.nextAutoLevel=r)}removeLevel(r){var a;const _=this._levels.filter((E,I)=>I!==r?!0:(this.steering&&this.steering.removeLevel(E),E===this.currentLevel&&(this.currentLevel=null,this.currentLevelIndex=-1,E.details&&E.details.fragments.forEach(N=>N.level=-1)),!1));za(_),this._levels=_,this.currentLevelIndex>-1&&(a=this.currentLevel)!=null&&a.details&&(this.currentLevelIndex=this.currentLevel.details.fragments[0].level),this.hls.trigger(l.LEVELS_UPDATED,{levels:_})}onLevelsUpdated(r,{levels:a}){this._levels=a}checkMaxAutoUpdated(){const{autoLevelCapping:r,maxAutoLevel:a,maxHdcpLevel:_}=this.hls;this._maxAutoLevel!==a&&(this._maxAutoLevel=a,this.hls.trigger(l.MAX_AUTO_LEVEL_UPDATED,{autoLevelCapping:r,levels:this.levels,maxAutoLevel:a,minAutoLevel:this.hls.minAutoLevel,maxHdcpLevel:_}))}}function nc(j){const r={};j.forEach(a=>{const _=a.groupId||"";a.id=r[_]=r[_]||0,r[_]++})}class fl{constructor(r){this.config=void 0,this.keyUriToKeyInfo={},this.emeController=null,this.config=r}abort(r){for(const _ in this.keyUriToKeyInfo){const E=this.keyUriToKeyInfo[_].loader;if(E){var a;if(r&&r!==((a=E.context)==null?void 0:a.frag.type))return;E.abort()}}}detach(){for(const r in this.keyUriToKeyInfo){const a=this.keyUriToKeyInfo[r];(a.mediaKeySessionContext||a.decryptdata.isCommonEncryption)&&delete this.keyUriToKeyInfo[r]}}destroy(){this.detach();for(const r in this.keyUriToKeyInfo){const a=this.keyUriToKeyInfo[r].loader;a&&a.destroy()}this.keyUriToKeyInfo={}}createKeyLoadError(r,a=x.KEY_LOAD_ERROR,_,E,I){return new Ni({type:b.NETWORK_ERROR,details:a,fatal:!1,frag:r,response:I,error:_,networkDetails:E})}loadClear(r,a){if(this.emeController&&this.config.emeEnabled){const{sn:_,cc:E}=r;for(let I=0;I<a.length;I++){const N=a[I];if(E<=N.cc&&(_==="initSegment"||N.sn==="initSegment"||_<N.sn)){this.emeController.selectKeySystemFormat(N).then(H=>{N.setKeyFormat(H)});break}}}}load(r){return!r.decryptdata&&r.encrypted&&this.emeController&&this.config.emeEnabled?this.emeController.selectKeySystemFormat(r).then(a=>this.loadInternal(r,a)):this.loadInternal(r)}loadInternal(r,a){var _,E;a&&r.setKeyFormat(a);const I=r.decryptdata;if(!I){const he=new Error(a?`Expected frag.decryptdata to be defined after setting format ${a}`:"Missing decryption data on fragment in onKeyLoading");return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,he))}const N=I.uri;if(!N)return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,new Error(`Invalid key URI: "${N}"`)));let H=this.keyUriToKeyInfo[N];if((_=H)!=null&&_.decryptdata.key)return I.key=H.decryptdata.key,Promise.resolve({frag:r,keyInfo:H});if((E=H)!=null&&E.keyLoadPromise){var oe;switch((oe=H.mediaKeySessionContext)==null?void 0:oe.keyStatus){case void 0:case"status-pending":case"usable":case"usable-in-future":return H.keyLoadPromise.then(he=>(I.key=he.keyInfo.decryptdata.key,{frag:r,keyInfo:H}))}}switch(H=this.keyUriToKeyInfo[N]={decryptdata:I,keyLoadPromise:null,loader:null,mediaKeySessionContext:null},I.method){case"ISO-23001-7":case"SAMPLE-AES":case"SAMPLE-AES-CENC":case"SAMPLE-AES-CTR":return I.keyFormat==="identity"?this.loadKeyHTTP(H,r):this.loadKeyEME(H,r);case"AES-128":return this.loadKeyHTTP(H,r);default:return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,new Error(`Key supplied with unsupported METHOD: "${I.method}"`)))}}loadKeyEME(r,a){const _={frag:a,keyInfo:r};if(this.emeController&&this.config.emeEnabled){const E=this.emeController.loadKey(_);if(E)return(r.keyLoadPromise=E.then(I=>(r.mediaKeySessionContext=I,_))).catch(I=>{throw r.keyLoadPromise=null,I})}return Promise.resolve(_)}loadKeyHTTP(r,a){const _=this.config,E=_.loader,I=new E(_);return a.keyLoader=r.loader=I,r.keyLoadPromise=new Promise((N,H)=>{const oe={keyInfo:r,frag:a,responseType:"arraybuffer",url:r.decryptdata.uri},he=_.keyLoadPolicy.default,be={loadPolicy:he,timeout:he.maxLoadTimeMs,maxRetry:0,retryDelay:0,maxRetryDelay:0},Se={onSuccess:(De,He,Xe,lt)=>{const{frag:vt,keyInfo:Qt,url:yr}=Xe;if(!vt.decryptdata||Qt!==this.keyUriToKeyInfo[yr])return H(this.createKeyLoadError(vt,x.KEY_LOAD_ERROR,new Error("after key load, decryptdata unset or changed"),lt));Qt.decryptdata.key=vt.decryptdata.key=new Uint8Array(De.data),vt.keyLoader=null,Qt.loader=null,N({frag:vt,keyInfo:Qt})},onError:(De,He,Xe,lt)=>{this.resetLoader(He),H(this.createKeyLoadError(a,x.KEY_LOAD_ERROR,new Error(`HTTP Error ${De.code} loading key ${De.text}`),Xe,f({url:oe.url,data:void 0},De)))},onTimeout:(De,He,Xe)=>{this.resetLoader(He),H(this.createKeyLoadError(a,x.KEY_LOAD_TIMEOUT,new Error("key loading timed out"),Xe))},onAbort:(De,He,Xe)=>{this.resetLoader(He),H(this.createKeyLoadError(a,x.INTERNAL_ABORTED,new Error("key loading aborted"),Xe))}};I.load(oe,be,Se)})}resetLoader(r){const{frag:a,keyInfo:_,url:E}=r,I=_.loader;a.keyLoader===I&&(a.keyLoader=null,_.loader=null),delete this.keyUriToKeyInfo[E],I&&I.destroy()}}function ki(){return self.SourceBuffer||self.WebKitSourceBuffer}function El(){if(!si())return!1;const r=ki();return!r||r.prototype&&typeof r.prototype.appendBuffer=="function"&&typeof r.prototype.remove=="function"}function ic(){if(!El())return!1;const j=si();return typeof(j==null?void 0:j.isTypeSupported)=="function"&&(["avc1.42E01E,mp4a.40.2","av01.0.01M.08","vp09.00.50.08"].some(r=>j.isTypeSupported(la(r,"video")))||["mp4a.40.2","fLaC"].some(r=>j.isTypeSupported(la(r,"audio"))))}function Uo(){var j;const r=ki();return typeof(r==null||(j=r.prototype)==null?void 0:j.changeType)=="function"}const no=250,Wa=2,dl=.1,Sl=.05;class ac{constructor(r,a,_,E){this.config=void 0,this.media=null,this.fragmentTracker=void 0,this.hls=void 0,this.nudgeRetry=0,this.stallReported=!1,this.stalled=null,this.moved=!1,this.seeking=!1,this.config=r,this.media=a,this.fragmentTracker=_,this.hls=E}destroy(){this.media=null,this.hls=this.fragmentTracker=null}poll(r,a){const{config:_,media:E,stalled:I}=this;if(E===null)return;const{currentTime:N,seeking:H}=E,oe=this.seeking&&!H,he=!this.seeking&&H;if(this.seeking=H,N!==r){if(this.moved=!0,H||(this.nudgeRetry=0),I!==null){if(this.stallReported){const vt=self.performance.now()-I;R.warn(`playback not stuck anymore @${N}, after ${Math.round(vt)}ms`),this.stallReported=!1}this.stalled=null}return}if(he||oe){this.stalled=null;return}if(E.paused&&!H||E.ended||E.playbackRate===0||!hr.getBuffered(E).length){this.nudgeRetry=0;return}const be=hr.bufferInfo(E,N,0),Se=be.nextStart||0;if(H){const vt=be.len>Wa,Qt=!Se||a&&a.start<=N||Se-N>Wa&&!this.fragmentTracker.getPartialFragment(N);if(vt||Qt)return;this.moved=!1}if(!this.moved&&this.stalled!==null){var De;if(!(be.len>0)&&!Se)return;const Qt=Math.max(Se,be.start||0)-N,yr=this.hls.levels?this.hls.levels[this.hls.currentLevel]:null,Wr=(yr==null||(De=yr.details)==null?void 0:De.live)?yr.details.targetduration*2:Wa,Br=this.fragmentTracker.getPartialFragment(N);if(Qt>0&&(Qt<=Wr||Br)){E.paused||this._trySkipBufferHole(Br);return}}const He=self.performance.now();if(I===null){this.stalled=He;return}const Xe=He-I;if(!H&&Xe>=no&&(this._reportStall(be),!this.media))return;const lt=hr.bufferInfo(E,N,_.maxBufferHole);this._tryFixBufferStall(lt,Xe)}_tryFixBufferStall(r,a){const{config:_,fragmentTracker:E,media:I}=this;if(I===null)return;const N=I.currentTime,H=E.getPartialFragment(N);H&&(this._trySkipBufferHole(H)||!this.media)||(r.len>_.maxBufferHole||r.nextStart&&r.nextStart-N<_.maxBufferHole)&&a>_.highBufferWatchdogPeriod*1e3&&(R.warn("Trying to nudge playhead over buffer-hole"),this.stalled=null,this._tryNudgeBuffer())}_reportStall(r){const{hls:a,media:_,stallReported:E}=this;if(!E&&_){this.stallReported=!0;const I=new Error(`Playback stalling at @${_.currentTime} due to low buffer (${JSON.stringify(r)})`);R.warn(I.message),a.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_STALLED_ERROR,fatal:!1,error:I,buffer:r.len})}}_trySkipBufferHole(r){const{config:a,hls:_,media:E}=this;if(E===null)return 0;const I=E.currentTime,N=hr.bufferInfo(E,I,0),H=I<N.start?N.start:N.nextStart;if(H){const oe=N.len<=a.maxBufferHole,he=N.len>0&&N.len<1&&E.readyState<3,be=H-I;if(be>0&&(oe||he)){if(be>a.maxBufferHole){const{fragmentTracker:De}=this;let He=!1;if(I===0){const Xe=De.getAppendedFrag(0,Ye.MAIN);Xe&&H<Xe.end&&(He=!0)}if(!He){const Xe=r||De.getAppendedFrag(I,Ye.MAIN);if(Xe){let lt=!1,vt=Xe.end;for(;vt<H;){const Qt=De.getPartialFragment(vt);if(Qt)vt+=Qt.duration;else{lt=!0;break}}if(lt)return 0}}}const Se=Math.max(H+Sl,I+dl);if(R.warn(`skipping hole, adjusting currentTime from ${I} to ${Se}`),this.moved=!0,this.stalled=null,E.currentTime=Se,r&&!r.gap){const De=new Error(`fragment loaded with buffer holes, seeking from ${I} to ${Se}`);_.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_SEEK_OVER_HOLE,fatal:!1,error:De,reason:De.message,frag:r})}return Se}}return 0}_tryNudgeBuffer(){const{config:r,hls:a,media:_,nudgeRetry:E}=this;if(_===null)return;const I=_.currentTime;if(this.nudgeRetry++,E<r.nudgeMaxRetry){const N=I+(E+1)*r.nudgeOffset,H=new Error(`Nudging 'currentTime' from ${I} to ${N}`);R.warn(H.message),_.currentTime=N,a.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_NUDGE_ON_STALL,error:H,fatal:!1})}else{const N=new Error(`Playhead still not moving while enough data buffered @${I} after ${r.nudgeMaxRetry} nudges`);R.error(N.message),a.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_STALLED_ERROR,error:N,fatal:!0})}}}const hl=100;class pl extends Do{constructor(r,a,_){super(r,a,_,"[stream-controller]",Ye.MAIN),this.audioCodecSwap=!1,this.gapController=null,this.level=-1,this._forceStartLoad=!1,this.altAudio=!1,this.audioOnly=!1,this.fragPlaying=null,this.onvplaying=null,this.onvseeked=null,this.fragLastKbps=0,this.couldBacktrack=!1,this.backtrackFragment=null,this.audioCodecSwitch=!1,this.videoBuffer=null,this._registerListeners()}_registerListeners(){const{hls:r}=this;r.on(l.MEDIA_ATTACHED,this.onMediaAttached,this),r.on(l.MEDIA_DETACHING,this.onMediaDetaching,this),r.on(l.MANIFEST_LOADING,this.onManifestLoading,this),r.on(l.MANIFEST_PARSED,this.onManifestParsed,this),r.on(l.LEVEL_LOADING,this.onLevelLoading,this),r.on(l.LEVEL_LOADED,this.onLevelLoaded,this),r.on(l.FRAG_LOAD_EMERGENCY_ABORTED,this.onFragLoadEmergencyAborted,this),r.on(l.ERROR,this.onError,this),r.on(l.AUDIO_TRACK_SWITCHING,this.onAudioTrackSwitching,this),r.on(l.AUDIO_TRACK_SWITCHED,this.onAudioTrackSwitched,this),r.on(l.BUFFER_CREATED,this.onBufferCreated,this),r.on(l.BUFFER_FLUSHED,this.onBufferFlushed,this),r.on(l.LEVELS_UPDATED,this.onLevelsUpdated,this),r.on(l.FRAG_BUFFERED,this.onFragBuffered,this)}_unregisterListeners(){const{hls:r}=this;r.off(l.MEDIA_ATTACHED,this.onMediaAttached,this),r.off(l.MEDIA_DETACHING,this.onMediaDetaching,this),r.off(l.MANIFEST_LOADING,this.onManifestLoading,this),r.off(l.MANIFEST_PARSED,this.onManifestParsed,this),r.off(l.LEVEL_LOADED,this.onLevelLoaded,this),r.off(l.FRAG_LOAD_EMERGENCY_ABORTED,this.onFragLoadEmergencyAborted,this),r.off(l.ERROR,this.onError,this),r.off(l.AUDIO_TRACK_SWITCHING,this.onAudioTrackSwitching,this),r.off(l.AUDIO_TRACK_SWITCHED,this.onAudioTrackSwitched,this),r.off(l.BUFFER_CREATED,this.onBufferCreated,this),r.off(l.BUFFER_FLUSHED,this.onBufferFlushed,this),r.off(l.LEVELS_UPDATED,this.onLevelsUpdated,this),r.off(l.FRAG_BUFFERED,this.onFragBuffered,this)}onHandlerDestroying(){this._unregisterListeners(),super.onHandlerDestroying()}startLoad(r){if(this.levels){const{lastCurrentTime:a,hls:_}=this;if(this.stopLoad(),this.setInterval(hl),this.level=-1,!this.startFragRequested){let E=_.startLevel;E===-1&&(_.config.testBandwidth&&this.levels.length>1?(E=0,this.bitrateTest=!0):E=_.firstAutoLevel),_.nextLoadLevel=E,this.level=_.loadLevel,this.loadedmetadata=!1}a>0&&r===-1&&(this.log(`Override startPosition with lastCurrentTime @${a.toFixed(3)}`),r=a),this.state=pn.IDLE,this.nextLoadPosition=this.startPosition=this.lastCurrentTime=r,this.tick()}else this._forceStartLoad=!0,this.state=pn.STOPPED}stopLoad(){this._forceStartLoad=!1,super.stopLoad()}doTick(){switch(this.state){case pn.WAITING_LEVEL:{const{levels:a,level:_}=this,E=a==null?void 0:a[_],I=E==null?void 0:E.details;if(I&&(!I.live||this.levelLastLoaded===E)){if(this.waitForCdnTuneIn(I))break;this.state=pn.IDLE;break}else if(this.hls.nextLoadLevel!==this.level){this.state=pn.IDLE;break}break}case pn.FRAG_LOADING_WAITING_RETRY:{var r;const a=self.performance.now(),_=this.retryDate;if(!_||a>=_||(r=this.media)!=null&&r.seeking){const{levels:E,level:I}=this,N=E==null?void 0:E[I];this.resetStartWhenNotLoaded(N||null),this.state=pn.IDLE}}break}this.state===pn.IDLE&&this.doTickIdle(),this.onTickEnd()}onTickEnd(){super.onTickEnd(),this.checkBuffer(),this.checkFragmentChanged()}doTickIdle(){const{hls:r,levelLastLoaded:a,levels:_,media:E}=this;if(a===null||!E&&(this.startFragRequested||!r.config.startFragPrefetch)||this.altAudio&&this.audioOnly)return;const I=this.buffering?r.nextLoadLevel:r.loadLevel;if(!(_!=null&&_[I]))return;const N=_[I],H=this.getMainFwdBufferInfo();if(H===null)return;const oe=this.getLevelDetails();if(oe&&this._streamEnded(H,oe)){const lt={};this.altAudio&&(lt.type="video"),this.hls.trigger(l.BUFFER_EOS,lt),this.state=pn.ENDED;return}if(!this.buffering)return;r.loadLevel!==I&&r.manualLevel===-1&&this.log(`Adapting to level ${I} from level ${this.level}`),this.level=r.nextLoadLevel=I;const he=N.details;if(!he||this.state===pn.WAITING_LEVEL||he.live&&this.levelLastLoaded!==N){this.level=I,this.state=pn.WAITING_LEVEL;return}const be=H.len,Se=this.getMaxBufferLength(N.maxBitrate);if(be>=Se)return;this.backtrackFragment&&this.backtrackFragment.start>H.end&&(this.backtrackFragment=null);const De=this.backtrackFragment?this.backtrackFragment.start:H.end;let He=this.getNextFragment(De,he);if(this.couldBacktrack&&!this.fragPrevious&&He&&He.sn!=="initSegment"&&this.fragmentTracker.getState(He)!==Zs.OK){var Xe;const vt=((Xe=this.backtrackFragment)!=null?Xe:He).sn-he.startSN,Qt=he.fragments[vt-1];Qt&&He.cc===Qt.cc&&(He=Qt,this.fragmentTracker.removeFragment(Qt))}else this.backtrackFragment&&H.len&&(this.backtrackFragment=null);if(He&&this.isLoopLoading(He,De)){if(!He.gap){const vt=this.audioOnly&&!this.altAudio?Y.AUDIO:Y.VIDEO,Qt=(vt===Y.VIDEO?this.videoBuffer:this.mediaBuffer)||this.media;Qt&&this.afterBufferFlushed(Qt,vt,Ye.MAIN)}He=this.getNextFragmentLoopLoading(He,he,H,Ye.MAIN,Se)}He&&(He.initSegment&&!He.initSegment.data&&!this.bitrateTest&&(He=He.initSegment),this.loadFragment(He,N,De))}loadFragment(r,a,_){const E=this.fragmentTracker.getState(r);this.fragCurrent=r,E===Zs.NOT_LOADED||E===Zs.PARTIAL?r.sn==="initSegment"?this._loadInitSegment(r,a):this.bitrateTest?(this.log(`Fragment ${r.sn} of level ${r.level} is being downloaded to test bitrate and will not be buffered`),this._loadBitrateTestFrag(r,a)):(this.startFragRequested=!0,super.loadFragment(r,a,_)):this.clearTrackerIfNeeded(r)}getBufferedFrag(r){return this.fragmentTracker.getBufferedFrag(r,Ye.MAIN)}followingBufferedFrag(r){return r?this.getBufferedFrag(r.end+.5):null}immediateLevelSwitch(){this.abortCurrentFrag(),this.flushMainBuffer(0,Number.POSITIVE_INFINITY)}nextLevelSwitch(){const{levels:r,media:a}=this;if(a!=null&&a.readyState){let _;const E=this.getAppendedFrag(a.currentTime);E&&E.start>1&&this.flushMainBuffer(0,E.start-1);const I=this.getLevelDetails();if(I!=null&&I.live){const H=this.getMainFwdBufferInfo();if(!H||H.len<I.targetduration*2)return}if(!a.paused&&r){const H=this.hls.nextLoadLevel,oe=r[H],he=this.fragLastKbps;he&&this.fragCurrent?_=this.fragCurrent.duration*oe.maxBitrate/(1e3*he)+1:_=0}else _=0;const N=this.getBufferedFrag(a.currentTime+_);if(N){const H=this.followingBufferedFrag(N);if(H){this.abortCurrentFrag();const oe=H.maxStartPTS?H.maxStartPTS:H.start,he=H.duration,be=Math.max(N.end,oe+Math.min(Math.max(he-this.config.maxFragLookUpTolerance,he*(this.couldBacktrack?.5:.125)),he*(this.couldBacktrack?.75:.25)));this.flushMainBuffer(be,Number.POSITIVE_INFINITY)}}}}abortCurrentFrag(){const r=this.fragCurrent;switch(this.fragCurrent=null,this.backtrackFragment=null,r&&(r.abortRequests(),this.fragmentTracker.removeFragment(r)),this.state){case pn.KEY_LOADING:case pn.FRAG_LOADING:case pn.FRAG_LOADING_WAITING_RETRY:case pn.PARSING:case pn.PARSED:this.state=pn.IDLE;break}this.nextLoadPosition=this.getLoadPosition()}flushMainBuffer(r,a){super.flushMainBuffer(r,a,this.altAudio?"video":null)}onMediaAttached(r,a){super.onMediaAttached(r,a);const _=a.media;this.onvplaying=this.onMediaPlaying.bind(this),this.onvseeked=this.onMediaSeeked.bind(this),_.addEventListener("playing",this.onvplaying),_.addEventListener("seeked",this.onvseeked),this.gapController=new ac(this.config,_,this.fragmentTracker,this.hls)}onMediaDetaching(){const{media:r}=this;r&&this.onvplaying&&this.onvseeked&&(r.removeEventListener("playing",this.onvplaying),r.removeEventListener("seeked",this.onvseeked),this.onvplaying=this.onvseeked=null,this.videoBuffer=null),this.fragPlaying=null,this.gapController&&(this.gapController.destroy(),this.gapController=null),super.onMediaDetaching()}onMediaPlaying(){this.tick()}onMediaSeeked(){const r=this.media,a=r?r.currentTime:null;y(a)&&this.log(`Media seeked to ${a.toFixed(3)}`);const _=this.getMainFwdBufferInfo();if(_===null||_.len===0){this.warn(`Main forward buffer length on "seeked" event ${_?_.len:"empty"})`);return}this.tick()}onManifestLoading(){this.log("Trigger BUFFER_RESET"),this.hls.trigger(l.BUFFER_RESET,void 0),this.fragmentTracker.removeAllFragments(),this.couldBacktrack=!1,this.startPosition=this.lastCurrentTime=this.fragLastKbps=0,this.levels=this.fragPlaying=this.backtrackFragment=this.levelLastLoaded=null,this.altAudio=this.audioOnly=this.startFragRequested=!1}onManifestParsed(r,a){let _=!1,E=!1;a.levels.forEach(I=>{const N=I.audioCodec;N&&(_=_||N.indexOf("mp4a.40.2")!==-1,E=E||N.indexOf("mp4a.40.5")!==-1)}),this.audioCodecSwitch=_&&E&&!Uo(),this.audioCodecSwitch&&this.log("Both AAC/HE-AAC audio found in levels; declaring level codec as HE-AAC"),this.levels=a.levels,this.startFragRequested=!1}onLevelLoading(r,a){const{levels:_}=this;if(!_||this.state!==pn.IDLE)return;const E=_[a.level];(!E.details||E.details.live&&this.levelLastLoaded!==E||this.waitForCdnTuneIn(E.details))&&(this.state=pn.WAITING_LEVEL)}onLevelLoaded(r,a){var _;const{levels:E}=this,I=a.level,N=a.details,H=N.totalduration;if(!E){this.warn(`Levels were reset while loading level ${I}`);return}this.log(`Level ${I} loaded [${N.startSN},${N.endSN}]${N.lastPartSn?`[part-${N.lastPartSn}-${N.lastPartIndex}]`:""}, cc [${N.startCC}, ${N.endCC}] duration:${H}`);const oe=E[I],he=this.fragCurrent;he&&(this.state===pn.FRAG_LOADING||this.state===pn.FRAG_LOADING_WAITING_RETRY)&&he.level!==a.level&&he.loader&&this.abortCurrentFrag();let be=0;if(N.live||(_=oe.details)!=null&&_.live){var Se;if(this.checkLiveUpdate(N),N.deltaUpdateFailed)return;be=this.alignPlaylists(N,oe.details,(Se=this.levelLastLoaded)==null?void 0:Se.details)}if(oe.details=N,this.levelLastLoaded=oe,this.hls.trigger(l.LEVEL_UPDATED,{details:N,level:I}),this.state===pn.WAITING_LEVEL){if(this.waitForCdnTuneIn(N))return;this.state=pn.IDLE}this.startFragRequested?N.live&&this.synchronizeToLiveEdge(N):this.setStartPosition(N,be),this.tick()}_handleFragmentLoadProgress(r){var a;const{frag:_,part:E,payload:I}=r,{levels:N}=this;if(!N){this.warn(`Levels were reset while fragment load was in progress. Fragment ${_.sn} of level ${_.level} will not be buffered`);return}const H=N[_.level],oe=H.details;if(!oe){this.warn(`Dropping fragment ${_.sn} of level ${_.level} after level details were reset`),this.fragmentTracker.removeFragment(_);return}const he=H.videoCodec,be=oe.PTSKnown||!oe.live,Se=(a=_.initSegment)==null?void 0:a.data,De=this._getAudioCodec(H),He=this.transmuxer=this.transmuxer||new Xn(this.hls,Ye.MAIN,this._handleTransmuxComplete.bind(this),this._handleTransmuxerFlush.bind(this)),Xe=E?E.index:-1,lt=Xe!==-1,vt=new mn(_.level,_.sn,_.stats.chunkCount,I.byteLength,Xe,lt),Qt=this.initPTS[_.cc];He.push(I,Se,De,he,_,E,oe.totalduration,be,vt,Qt)}onAudioTrackSwitching(r,a){const _=this.altAudio;if(!!!a.url){if(this.mediaBuffer!==this.media){this.log("Switching on main audio, use media.buffered to schedule main fragment loading"),this.mediaBuffer=this.media;const N=this.fragCurrent;N&&(this.log("Switching to main audio track, cancel main fragment load"),N.abortRequests(),this.fragmentTracker.removeFragment(N)),this.resetTransmuxer(),this.resetLoadingState()}else this.audioOnly&&this.resetTransmuxer();const I=this.hls;_&&(I.trigger(l.BUFFER_FLUSHING,{startOffset:0,endOffset:Number.POSITIVE_INFINITY,type:null}),this.fragmentTracker.removeAllFragments()),I.trigger(l.AUDIO_TRACK_SWITCHED,a)}}onAudioTrackSwitched(r,a){const _=a.id,E=!!this.hls.audioTracks[_].url;if(E){const I=this.videoBuffer;I&&this.mediaBuffer!==I&&(this.log("Switching on alternate audio, use video.buffered to schedule main fragment loading"),this.mediaBuffer=I)}this.altAudio=E,this.tick()}onBufferCreated(r,a){const _=a.tracks;let E,I,N=!1;for(const H in _){const oe=_[H];if(oe.id==="main"){if(I=H,E=oe,H==="video"){const he=_[H];he&&(this.videoBuffer=he.buffer)}}else N=!0}N&&E?(this.log(`Alternate track found, use ${I}.buffered to schedule main fragment loading`),this.mediaBuffer=E.buffer):this.mediaBuffer=this.media}onFragBuffered(r,a){const{frag:_,part:E}=a;if(_&&_.type!==Ye.MAIN)return;if(this.fragContextChanged(_)){this.warn(`Fragment ${_.sn}${E?" p: "+E.index:""} of level ${_.level} finished buffering, but was aborted. state: ${this.state}`),this.state===pn.PARSED&&(this.state=pn.IDLE);return}const I=E?E.stats:_.stats;this.fragLastKbps=Math.round(8*I.total/(I.buffering.end-I.loading.first)),_.sn!=="initSegment"&&(this.fragPrevious=_),this.fragBufferedComplete(_,E)}onError(r,a){var _;if(a.fatal){this.state=pn.ERROR;return}switch(a.details){case x.FRAG_GAP:case x.FRAG_PARSING_ERROR:case x.FRAG_DECRYPT_ERROR:case x.FRAG_LOAD_ERROR:case x.FRAG_LOAD_TIMEOUT:case x.KEY_LOAD_ERROR:case x.KEY_LOAD_TIMEOUT:this.onFragmentOrKeyLoadError(Ye.MAIN,a);break;case x.LEVEL_LOAD_ERROR:case x.LEVEL_LOAD_TIMEOUT:case x.LEVEL_PARSING_ERROR:!a.levelRetry&&this.state===pn.WAITING_LEVEL&&((_=a.context)==null?void 0:_.type)===ye.LEVEL&&(this.state=pn.IDLE);break;case x.BUFFER_APPEND_ERROR:case x.BUFFER_FULL_ERROR:if(!a.parent||a.parent!=="main")return;if(a.details===x.BUFFER_APPEND_ERROR){this.resetLoadingState();return}this.reduceLengthAndFlushBuffer(a)&&this.flushMainBuffer(0,Number.POSITIVE_INFINITY);break;case x.INTERNAL_EXCEPTION:this.recoverWorkerError(a);break}}checkBuffer(){const{media:r,gapController:a}=this;if(!(!r||!a||!r.readyState)){if(this.loadedmetadata||!hr.getBuffered(r).length){const _=this.state!==pn.IDLE?this.fragCurrent:null;a.poll(this.lastCurrentTime,_)}this.lastCurrentTime=r.currentTime}}onFragLoadEmergencyAborted(){this.state=pn.IDLE,this.loadedmetadata||(this.startFragRequested=!1,this.nextLoadPosition=this.startPosition),this.tickImmediate()}onBufferFlushed(r,{type:a}){if(a!==Y.AUDIO||this.audioOnly&&!this.altAudio){const _=(a===Y.VIDEO?this.videoBuffer:this.mediaBuffer)||this.media;this.afterBufferFlushed(_,a,Ye.MAIN),this.tick()}}onLevelsUpdated(r,a){this.level>-1&&this.fragCurrent&&(this.level=this.fragCurrent.level),this.levels=a.levels}swapAudioCodec(){this.audioCodecSwap=!this.audioCodecSwap}seekToStartPos(){const{media:r}=this;if(!r)return;const a=r.currentTime;let _=this.startPosition;if(_>=0&&a<_){if(r.seeking){this.log(`could not seek to ${_}, already seeking at ${a}`);return}const E=hr.getBuffered(r),N=(E.length?E.start(0):0)-_;N>0&&(N<this.config.maxBufferHole||N<this.config.maxFragLookUpTolerance)&&(this.log(`adjusting start position by ${N} to match buffer start`),_+=N,this.startPosition=_),this.log(`seek to target start position ${_} from current time ${a}`),r.currentTime=_}}_getAudioCodec(r){let a=this.config.defaultAudioCodec||r.audioCodec;return this.audioCodecSwap&&a&&(this.log("Swapping audio codec"),a.indexOf("mp4a.40.5")!==-1?a="mp4a.40.2":a="mp4a.40.5"),a}_loadBitrateTestFrag(r,a){r.bitrateTest=!0,this._doFragLoad(r,a).then(_=>{const{hls:E}=this;if(!_||this.fragContextChanged(r))return;a.fragmentError=0,this.state=pn.IDLE,this.startFragRequested=!1,this.bitrateTest=!1;const I=r.stats;I.parsing.start=I.parsing.end=I.buffering.start=I.buffering.end=self.performance.now(),E.trigger(l.FRAG_LOADED,_),r.bitrateTest=!1})}_handleTransmuxComplete(r){var a;const _="main",{hls:E}=this,{remuxResult:I,chunkMeta:N}=r,H=this.getCurrentContext(N);if(!H){this.resetWhenMissingContext(N);return}const{frag:oe,part:he,level:be}=H,{video:Se,text:De,id3:He,initSegment:Xe}=I,{details:lt}=be,vt=this.altAudio?void 0:I.audio;if(this.fragContextChanged(oe)){this.fragmentTracker.removeFragment(oe);return}if(this.state=pn.PARSING,Xe){if(Xe!=null&&Xe.tracks){const Tr=oe.initSegment||oe;this._bufferInitSegment(be,Xe.tracks,Tr,N),E.trigger(l.FRAG_PARSING_INIT_SEGMENT,{frag:Tr,id:_,tracks:Xe.tracks})}const Qt=Xe.initPTS,yr=Xe.timescale;y(Qt)&&(this.initPTS[oe.cc]={baseTime:Qt,timescale:yr},E.trigger(l.INIT_PTS_FOUND,{frag:oe,id:_,initPTS:Qt,timescale:yr}))}if(Se&&lt&&oe.sn!=="initSegment"){const Qt=lt.fragments[oe.sn-1-lt.startSN],yr=oe.sn===lt.startSN,Tr=!Qt||oe.cc>Qt.cc;if(I.independent!==!1){const{startPTS:Wr,endPTS:Br,startDTS:Cn,endDTS:un}=Se;if(he)he.elementaryStreams[Se.type]={startPTS:Wr,endPTS:Br,startDTS:Cn,endDTS:un};else if(Se.firstKeyFrame&&Se.independent&&N.id===1&&!Tr&&(this.couldBacktrack=!0),Se.dropped&&Se.independent){const Hn=this.getMainFwdBufferInfo(),li=(Hn?Hn.end:this.getLoadPosition())+this.config.maxBufferHole,En=Se.firstKeyFramePTS?Se.firstKeyFramePTS:Wr;if(!yr&&li<En-this.config.maxBufferHole&&!Tr){this.backtrack(oe);return}else Tr&&(oe.gap=!0);oe.setElementaryStreamInfo(Se.type,oe.start,Br,oe.start,un,!0)}else yr&&Wr>Wa&&(oe.gap=!0);oe.setElementaryStreamInfo(Se.type,Wr,Br,Cn,un),this.backtrackFragment&&(this.backtrackFragment=oe),this.bufferFragmentData(Se,oe,he,N,yr||Tr)}else if(yr||Tr)oe.gap=!0;else{this.backtrack(oe);return}}if(vt){const{startPTS:Qt,endPTS:yr,startDTS:Tr,endDTS:Wr}=vt;he&&(he.elementaryStreams[Y.AUDIO]={startPTS:Qt,endPTS:yr,startDTS:Tr,endDTS:Wr}),oe.setElementaryStreamInfo(Y.AUDIO,Qt,yr,Tr,Wr),this.bufferFragmentData(vt,oe,he,N)}if(lt&&He!=null&&(a=He.samples)!=null&&a.length){const Qt={id:_,frag:oe,details:lt,samples:He.samples};E.trigger(l.FRAG_PARSING_METADATA,Qt)}if(lt&&De){const Qt={id:_,frag:oe,details:lt,samples:De.samples};E.trigger(l.FRAG_PARSING_USERDATA,Qt)}}_bufferInitSegment(r,a,_,E){if(this.state!==pn.PARSING)return;this.audioOnly=!!a.audio&&!a.video,this.altAudio&&!this.audioOnly&&delete a.audio;const{audio:I,video:N,audiovideo:H}=a;if(I){let oe=r.audioCodec;const he=navigator.userAgent.toLowerCase();if(this.audioCodecSwitch){oe&&(oe.indexOf("mp4a.40.5")!==-1?oe="mp4a.40.2":oe="mp4a.40.5");const be=I.metadata;be&&"channelCount"in be&&(be.channelCount||1)!==1&&he.indexOf("firefox")===-1&&(oe="mp4a.40.5")}oe&&oe.indexOf("mp4a.40.5")!==-1&&he.indexOf("android")!==-1&&I.container!=="audio/mpeg"&&(oe="mp4a.40.2",this.log(`Android: force audio codec to ${oe}`)),r.audioCodec&&r.audioCodec!==oe&&this.log(`Swapping manifest audio codec "${r.audioCodec}" for "${oe}"`),I.levelCodec=oe,I.id="main",this.log(`Init audio buffer, container:${I.container}, codecs[selected/level/parsed]=[${oe||""}/${r.audioCodec||""}/${I.codec}]`)}N&&(N.levelCodec=r.videoCodec,N.id="main",this.log(`Init video buffer, container:${N.container}, codecs[level/parsed]=[${r.videoCodec||""}/${N.codec}]`)),H&&this.log(`Init audiovideo buffer, container:${H.container}, codecs[level/parsed]=[${r.codecs}/${H.codec}]`),this.hls.trigger(l.BUFFER_CODECS,a),Object.keys(a).forEach(oe=>{const be=a[oe].initSegment;be!=null&&be.byteLength&&this.hls.trigger(l.BUFFER_APPENDING,{type:oe,data:be,frag:_,part:null,chunkMeta:E,parent:_.type})}),this.tickImmediate()}getMainFwdBufferInfo(){return this.getFwdBufferInfo(this.mediaBuffer?this.mediaBuffer:this.media,Ye.MAIN)}backtrack(r){this.couldBacktrack=!0,this.backtrackFragment=r,this.resetTransmuxer(),this.flushBufferGap(r),this.fragmentTracker.removeFragment(r),this.fragPrevious=null,this.nextLoadPosition=r.start,this.state=pn.IDLE}checkFragmentChanged(){const r=this.media;let a=null;if(r&&r.readyState>1&&r.seeking===!1){const _=r.currentTime;if(hr.isBuffered(r,_)?a=this.getAppendedFrag(_):hr.isBuffered(r,_+.1)&&(a=this.getAppendedFrag(_+.1)),a){this.backtrackFragment=null;const E=this.fragPlaying,I=a.level;(!E||a.sn!==E.sn||E.level!==I)&&(this.fragPlaying=a,this.hls.trigger(l.FRAG_CHANGED,{frag:a}),(!E||E.level!==I)&&this.hls.trigger(l.LEVEL_SWITCHED,{level:I}))}}}get nextLevel(){const r=this.nextBufferedFrag;return r?r.level:-1}get currentFrag(){const r=this.media;return r?this.fragPlaying||this.getAppendedFrag(r.currentTime):null}get currentProgramDateTime(){const r=this.media;if(r){const a=r.currentTime,_=this.currentFrag;if(_&&y(a)&&y(_.programDateTime)){const E=_.programDateTime+(a-_.start)*1e3;return new Date(E)}}return null}get currentLevel(){const r=this.currentFrag;return r?r.level:-1}get nextBufferedFrag(){const r=this.currentFrag;return r?this.followingBufferedFrag(r):null}get forceStartLoad(){return this._forceStartLoad}}class Xu{static get version(){return"1.5.20"}static isMSESupported(){return El()}static isSupported(){return ic()}static getMediaSource(){return si()}static get Events(){return l}static get ErrorTypes(){return b}static get ErrorDetails(){return x}static get DefaultConfig(){return Xu.defaultConfig?Xu.defaultConfig:To}static set DefaultConfig(r){Xu.defaultConfig=r}constructor(r={}){this.config=void 0,this.userConfig=void 0,this.coreComponents=void 0,this.networkControllers=void 0,this.started=!1,this._emitter=new Zn,this._autoLevelCapping=-1,this._maxHdcpLevel=null,this.abrController=void 0,this.bufferController=void 0,this.capLevelController=void 0,this.latencyController=void 0,this.levelController=void 0,this.streamController=void 0,this.audioTrackController=void 0,this.subtitleTrackController=void 0,this.emeController=void 0,this.cmcdController=void 0,this._media=null,this.url=null,this.triggeringException=void 0,$(r.debug||!1,"Hls instance");const a=this.config=yo(Xu.DefaultConfig,r);this.userConfig=r,a.progressive&&gc(a);const{abrController:_,bufferController:E,capLevelController:I,errorController:N,fpsController:H}=a,oe=new N(this),he=this.abrController=new _(this),be=this.bufferController=new E(this),Se=this.capLevelController=new I(this),De=new H(this),He=new Or(this),Xe=new fa(this),lt=a.contentSteeringController,vt=lt?new lt(this):null,Qt=this.levelController=new rc(this,vt),yr=new Jt(this),Tr=new fl(this.config),Wr=this.streamController=new pl(this,yr,Tr);Se.setStreamController(Wr),De.setStreamController(Wr);const Br=[He,Qt,Wr];vt&&Br.splice(1,0,vt),this.networkControllers=Br;const Cn=[he,be,Se,De,Xe,yr];this.audioTrackController=this.createController(a.audioTrackController,Br);const un=a.audioStreamController;un&&Br.push(new un(this,yr,Tr)),this.subtitleTrackController=this.createController(a.subtitleTrackController,Br);const Hn=a.subtitleStreamController;Hn&&Br.push(new Hn(this,yr,Tr)),this.createController(a.timelineController,Cn),Tr.emeController=this.emeController=this.createController(a.emeController,Cn),this.cmcdController=this.createController(a.cmcdController,Cn),this.latencyController=this.createController(Ls,Cn),this.coreComponents=Cn,Br.push(oe);const li=oe.onErrorOut;typeof li=="function"&&this.on(l.ERROR,li,oe)}createController(r,a){if(r){const _=new r(this);return a&&a.push(_),_}return null}on(r,a,_=this){this._emitter.on(r,a,_)}once(r,a,_=this){this._emitter.once(r,a,_)}removeAllListeners(r){this._emitter.removeAllListeners(r)}off(r,a,_=this,E){this._emitter.off(r,a,_,E)}listeners(r){return this._emitter.listeners(r)}emit(r,a,_){return this._emitter.emit(r,a,_)}trigger(r,a){if(this.config.debug)return this.emit(r,r,a);try{return this.emit(r,r,a)}catch(_){if(R.error("An internal error happened while handling event "+r+'. Error message: "'+_.message+'". Here is a stacktrace:',_),!this.triggeringException){this.triggeringException=!0;const E=r===l.ERROR;this.trigger(l.ERROR,{type:b.OTHER_ERROR,details:x.INTERNAL_EXCEPTION,fatal:E,event:r,error:_}),this.triggeringException=!1}}return!1}listenerCount(r){return this._emitter.listenerCount(r)}destroy(){R.log("destroy"),this.trigger(l.DESTROYING,void 0),this.detachMedia(),this.removeAllListeners(),this._autoLevelCapping=-1,this.url=null,this.networkControllers.forEach(a=>a.destroy()),this.networkControllers.length=0,this.coreComponents.forEach(a=>a.destroy()),this.coreComponents.length=0;const r=this.config;r.xhrSetup=r.fetchSetup=void 0,this.userConfig=null}attachMedia(r){R.log("attachMedia"),this._media=r,this.trigger(l.MEDIA_ATTACHING,{media:r})}detachMedia(){R.log("detachMedia"),this.trigger(l.MEDIA_DETACHING,void 0),this._media=null}loadSource(r){this.stopLoad();const a=this.media,_=this.url,E=this.url=s.buildAbsoluteURL(self.location.href,r,{alwaysNormalize:!0});this._autoLevelCapping=-1,this._maxHdcpLevel=null,R.log(`loadSource:${E}`),a&&_&&(_!==E||this.bufferController.hasSourceTypes())&&(this.detachMedia(),this.attachMedia(a)),this.trigger(l.MANIFEST_LOADING,{url:r})}startLoad(r=-1){R.log(`startLoad(${r})`),this.started=!0,this.resumeBuffering();for(let a=0;a<this.networkControllers.length&&(this.networkControllers[a].startLoad(r),!(!this.started||!this.networkControllers));a++);}stopLoad(){R.log("stopLoad"),this.started=!1;for(let r=0;r<this.networkControllers.length&&(this.networkControllers[r].stopLoad(),!(this.started||!this.networkControllers));r++);}resumeBuffering(){R.log("resume buffering"),this.networkControllers.forEach(r=>{r.resumeBuffering&&r.resumeBuffering()})}pauseBuffering(){R.log("pause buffering"),this.networkControllers.forEach(r=>{r.pauseBuffering&&r.pauseBuffering()})}swapAudioCodec(){R.log("swapAudioCodec"),this.streamController.swapAudioCodec()}recoverMediaError(){R.log("recoverMediaError");const r=this._media;this.detachMedia(),r&&this.attachMedia(r)}removeLevel(r){this.levelController.removeLevel(r)}get levels(){const r=this.levelController.levels;return r||[]}get currentLevel(){return this.streamController.currentLevel}set currentLevel(r){R.log(`set currentLevel:${r}`),this.levelController.manualLevel=r,this.streamController.immediateLevelSwitch()}get nextLevel(){return this.streamController.nextLevel}set nextLevel(r){R.log(`set nextLevel:${r}`),this.levelController.manualLevel=r,this.streamController.nextLevelSwitch()}get loadLevel(){return this.levelController.level}set loadLevel(r){R.log(`set loadLevel:${r}`),this.levelController.manualLevel=r}get nextLoadLevel(){return this.levelController.nextLoadLevel}set nextLoadLevel(r){this.levelController.nextLoadLevel=r}get firstLevel(){return Math.max(this.levelController.firstLevel,this.minAutoLevel)}set firstLevel(r){R.log(`set firstLevel:${r}`),this.levelController.firstLevel=r}get startLevel(){const r=this.levelController.startLevel;return r===-1&&this.abrController.forcedAutoLevel>-1?this.abrController.forcedAutoLevel:r}set startLevel(r){R.log(`set startLevel:${r}`),r!==-1&&(r=Math.max(r,this.minAutoLevel)),this.levelController.startLevel=r}get capLevelToPlayerSize(){return this.config.capLevelToPlayerSize}set capLevelToPlayerSize(r){const a=!!r;a!==this.config.capLevelToPlayerSize&&(a?this.capLevelController.startCapping():(this.capLevelController.stopCapping(),this.autoLevelCapping=-1,this.streamController.nextLevelSwitch()),this.config.capLevelToPlayerSize=a)}get autoLevelCapping(){return this._autoLevelCapping}get bandwidthEstimate(){const{bwEstimator:r}=this.abrController;return r?r.getEstimate():NaN}set bandwidthEstimate(r){this.abrController.resetEstimator(r)}get ttfbEstimate(){const{bwEstimator:r}=this.abrController;return r?r.getEstimateTTFB():NaN}set autoLevelCapping(r){this._autoLevelCapping!==r&&(R.log(`set autoLevelCapping:${r}`),this._autoLevelCapping=r,this.levelController.checkMaxAutoUpdated())}get maxHdcpLevel(){return this._maxHdcpLevel}set maxHdcpLevel(r){Is(r)&&this._maxHdcpLevel!==r&&(this._maxHdcpLevel=r,this.levelController.checkMaxAutoUpdated())}get autoLevelEnabled(){return this.levelController.manualLevel===-1}get manualLevel(){return this.levelController.manualLevel}get minAutoLevel(){const{levels:r,config:{minAutoBitrate:a}}=this;if(!r)return 0;const _=r.length;for(let E=0;E<_;E++)if(r[E].maxBitrate>=a)return E;return 0}get maxAutoLevel(){const{levels:r,autoLevelCapping:a,maxHdcpLevel:_}=this;let E;if(a===-1&&r!=null&&r.length?E=r.length-1:E=a,_)for(let I=E;I--;){const N=r[I].attrs["HDCP-LEVEL"];if(N&&N<=_)return I}return E}get firstAutoLevel(){return this.abrController.firstAutoLevel}get nextAutoLevel(){return this.abrController.nextAutoLevel}set nextAutoLevel(r){this.abrController.nextAutoLevel=r}get playingDate(){return this.streamController.currentProgramDateTime}get mainForwardBufferInfo(){return this.streamController.getMainFwdBufferInfo()}setAudioOption(r){var a;return(a=this.audioTrackController)==null?void 0:a.setAudioOption(r)}setSubtitleOption(r){var a;return(a=this.subtitleTrackController)==null||a.setSubtitleOption(r),null}get allAudioTracks(){const r=this.audioTrackController;return r?r.allAudioTracks:[]}get audioTracks(){const r=this.audioTrackController;return r?r.audioTracks:[]}get audioTrack(){const r=this.audioTrackController;return r?r.audioTrack:-1}set audioTrack(r){const a=this.audioTrackController;a&&(a.audioTrack=r)}get allSubtitleTracks(){const r=this.subtitleTrackController;return r?r.allSubtitleTracks:[]}get subtitleTracks(){const r=this.subtitleTrackController;return r?r.subtitleTracks:[]}get 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Uint8Array(Xe.initData):null}catch(Xe){var oe;if(this.warn(Xe.message),(oe=this.hls)!=null&&oe.config.debug)throw Xe}if(_===null)return this.log(`Skipping key-session request for "${E}" (no initData)`),Promise.resolve(r);const he=this.getKeyIdString(r.decryptdata);this.log(`Generating key-session request for "${E}": ${he} (init data type: ${a} length: ${_?_.byteLength:null})`);const be=new Zn,Se=r._onmessage=Xe=>{const lt=r.mediaKeysSession;if(!lt){be.emit("error",new Error("invalid state"));return}const{messageType:vt,message:Qt}=Xe;this.log(`"${vt}" message event for session "${lt.sessionId}" message size: ${Qt.byteLength}`),vt==="license-request"||vt==="license-renewal"?this.renewLicense(r,Qt).catch(yr=>{this.handleError(yr),be.emit("error",yr)}):vt==="license-release"?r.keySystem===Me.FAIRPLAY&&(this.updateKeySession(r,xe("acknowledged")),this.removeSession(r)):this.warn(`unhandled media key message type "${vt}"`)},De=r._onkeystatuseschange=Xe=>{if(!r.mediaKeysSession){be.emit("error",new Error("invalid state"));return}this.onKeyStatusChange(r);const vt=r.keyStatus;be.emit("keyStatus",vt),vt==="expired"&&(this.warn(`${r.keySystem} expired for key ${he}`),this.renewKeySession(r))};r.mediaKeysSession.addEventListener("message",Se),r.mediaKeysSession.addEventListener("keystatuseschange",De);const He=new Promise((Xe,lt)=>{be.on("error",lt),be.on("keyStatus",vt=>{vt.startsWith("usable")?Xe():vt==="output-restricted"?lt(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_STATUS_OUTPUT_RESTRICTED,fatal:!1},"HDCP level output restricted")):vt==="internal-error"?lt(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_STATUS_INTERNAL_ERROR,fatal:!0},`key status changed to "${vt}"`)):vt==="expired"?lt(new Error("key expired while generating request")):this.warn(`unhandled key status change "${vt}"`)})});return r.mediaKeysSession.generateRequest(a,_).then(()=>{var Xe;this.log(`Request generated for key-session "${(Xe=r.mediaKeysSession)==null?void 0:Xe.sessionId}" keyId: ${he}`)}).catch(Xe=>{throw new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_NO_SESSION,error:Xe,fatal:!1},`Error generating key-session request: ${Xe}`)}).then(()=>He).catch(Xe=>{throw be.removeAllListeners(),this.removeSession(r),Xe}).then(()=>(be.removeAllListeners(),r))}onKeyStatusChange(r){r.mediaKeysSession.keyStatuses.forEach((a,_)=>{this.log(`key status change "${a}" for keyStatuses keyId: ${Nt.hexDump("buffer"in _?new Uint8Array(_.buffer,_.byteOffset,_.byteLength):new Uint8Array(_))} session keyId: ${Nt.hexDump(new Uint8Array(r.decryptdata.keyId||[]))} uri: ${r.decryptdata.uri}`),r.keyStatus=a})}fetchServerCertificate(r){const a=this.config,_=a.loader,E=new _(a),I=this.getServerCertificateUrl(r);return I?(this.log(`Fetching server certificate for "${r}"`),new Promise((N,H)=>{const oe={responseType:"arraybuffer",url:I},he=a.certLoadPolicy.default,be={loadPolicy:he,timeout:he.maxLoadTimeMs,maxRetry:0,retryDelay:0,maxRetryDelay:0},Se={onSuccess:(De,He,Xe,lt)=>{N(De.data)},onError:(De,He,Xe,lt)=>{H(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_SERVER_CERTIFICATE_REQUEST_FAILED,fatal:!0,networkDetails:Xe,response:f({url:oe.url,data:void 0},De)},`"${r}" certificate request failed (${I}). Status: ${De.code} (${De.text})`))},onTimeout:(De,He,Xe)=>{H(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_SERVER_CERTIFICATE_REQUEST_FAILED,fatal:!0,networkDetails:Xe,response:{url:oe.url,data:void 0}},`"${r}" certificate request timed out (${I})`))},onAbort:(De,He,Xe)=>{H(new Error("aborted"))}};E.load(oe,be,Se)})):Promise.resolve()}setMediaKeysServerCertificate(r,a,_){return new Promise((E,I)=>{r.setServerCertificate(_).then(N=>{this.log(`setServerCertificate ${N?"success":"not supported by CDM"} (${_==null?void 0:_.byteLength}) on "${a}"`),E(r)}).catch(N=>{I(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_SERVER_CERTIFICATE_UPDATE_FAILED,error:N,fatal:!0},N.message))})})}renewLicense(r,a){return this.requestLicense(r,new Uint8Array(a)).then(_=>this.updateKeySession(r,new Uint8Array(_)).catch(E=>{throw new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_SESSION_UPDATE_FAILED,error:E,fatal:!0},E.message)}))}unpackPlayReadyKeyMessage(r,a){const _=String.fromCharCode.apply(null,new Uint16Array(a.buffer));if(!_.includes("PlayReadyKeyMessage"))return r.setRequestHeader("Content-Type","text/xml; charset=utf-8"),a;const E=new DOMParser().parseFromString(_,"application/xml"),I=E.querySelectorAll("HttpHeader");if(I.length>0){let be;for(let Se=0,De=I.length;Se<De;Se++){var N,H;be=I[Se];const He=(N=be.querySelector("name"))==null?void 0:N.textContent,Xe=(H=be.querySelector("value"))==null?void 0:H.textContent;He&&Xe&&r.setRequestHeader(He,Xe)}}const oe=E.querySelector("Challenge"),he=oe==null?void 0:oe.textContent;if(!he)throw new Error("Cannot find <Challenge> in key message");return xe(atob(he))}setupLicenseXHR(r,a,_,E){const I=this.config.licenseXhrSetup;return I?Promise.resolve().then(()=>{if(!_.decryptdata)throw new Error("Key removed");return I.call(this.hls,r,a,_,E)}).catch(N=>{if(!_.decryptdata)throw N;return r.open("POST",a,!0),I.call(this.hls,r,a,_,E)}).then(N=>(r.readyState||r.open("POST",a,!0),{xhr:r,licenseChallenge:N||E})):(r.open("POST",a,!0),Promise.resolve({xhr:r,licenseChallenge:E}))}requestLicense(r,a){const _=this.config.keyLoadPolicy.default;return new Promise((E,I)=>{const N=this.getLicenseServerUrlOrThrow(r.keySystem);this.log(`Sending license request to URL: ${N}`);const H=new XMLHttpRequest;H.responseType="arraybuffer",H.onreadystatechange=()=>{if(!this.hls||!r.mediaKeysSession)return I(new Error("invalid state"));if(H.readyState===4)if(H.status===200){this._requestLicenseFailureCount=0;let oe=H.response;this.log(`License received ${oe instanceof ArrayBuffer?oe.byteLength:oe}`);const he=this.config.licenseResponseCallback;if(he)try{oe=he.call(this.hls,H,N,r)}catch(be){this.error(be)}E(oe)}else{const oe=_.errorRetry,he=oe?oe.maxNumRetry:0;if(this._requestLicenseFailureCount++,this._requestLicenseFailureCount>he||H.status>=400&&H.status<500)I(new Jo({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_LICENSE_REQUEST_FAILED,fatal:!0,networkDetails:H,response:{url:N,data:void 0,code:H.status,text:H.statusText}},`License Request XHR failed (${N}). Status: ${H.status} (${H.statusText})`));else{const be=he-this._requestLicenseFailureCount+1;this.warn(`Retrying license request, ${be} attempts left`),this.requestLicense(r,a).then(E,I)}}},r.licenseXhr&&r.licenseXhr.readyState!==XMLHttpRequest.DONE&&r.licenseXhr.abort(),r.licenseXhr=H,this.setupLicenseXHR(H,N,r,a).then(({xhr:oe,licenseChallenge:he})=>{r.keySystem==Me.PLAYREADY&&(he=this.unpackPlayReadyKeyMessage(oe,he)),oe.send(he)})})}onMediaAttached(r,a){if(!this.config.emeEnabled)return;const _=a.media;this.media=_,_.removeEventListener("encrypted",this.onMediaEncrypted),_.removeEventListener("waitingforkey",this.onWaitingForKey),_.addEventListener("encrypted",this.onMediaEncrypted),_.addEventListener("waitingforkey",this.onWaitingForKey)}onMediaDetached(){const r=this.media,a=this.mediaKeySessions;r&&(r.removeEventListener("encrypted",this.onMediaEncrypted),r.removeEventListener("waitingforkey",this.onWaitingForKey),this.media=null),this._requestLicenseFailureCount=0,this.setMediaKeysQueue=[],this.mediaKeySessions=[],this.keyIdToKeySessionPromise={},Mr.clearKeyUriToKeyIdMap();const _=a.length;nl.CDMCleanupPromise=Promise.all(a.map(E=>this.removeSession(E)).concat(r==null?void 0:r.setMediaKeys(null).catch(E=>{this.log(`Could not clear media keys: ${E}`)}))).then(()=>{_&&(this.log("finished closing key sessions and clearing media keys"),a.length=0)}).catch(E=>{this.log(`Could not close sessions and clear media keys: ${E}`)})}onManifestLoading(){this.keyFormatPromise=null}onManifestLoaded(r,{sessionKeys:a}){if(!(!a||!this.config.emeEnabled)&&!this.keyFormatPromise){const _=a.reduce((E,I)=>(E.indexOf(I.keyFormat)===-1&&E.push(I.keyFormat),E),[]);this.log(`Selecting key-system from session-keys ${_.join(", ")}`),this.keyFormatPromise=this.getKeyFormatPromise(_)}}removeSession(r){const{mediaKeysSession:a,licenseXhr:_}=r;if(a){this.log(`Remove licenses and keys and close session ${a.sessionId}`),r._onmessage&&(a.removeEventListener("message",r._onmessage),r._onmessage=void 0),r._onkeystatuseschange&&(a.removeEventListener("keystatuseschange",r._onkeystatuseschange),r._onkeystatuseschange=void 0),_&&_.readyState!==XMLHttpRequest.DONE&&_.abort(),r.mediaKeysSession=r.decryptdata=r.licenseXhr=void 0;const E=this.mediaKeySessions.indexOf(r);return E>-1&&this.mediaKeySessions.splice(E,1),a.remove().catch(I=>{this.log(`Could not remove session: ${I}`)}).then(()=>a.close()).catch(I=>{this.log(`Could not close session: ${I}`)})}}}nl.CDMCleanupPromise=void 0;class Jo extends Error{constructor(r,a){super(a),this.data=void 0,r.error||(r.error=new Error(a)),this.data=r,r.err=r.error}}var go;(function(j){j.MANIFEST="m",j.AUDIO="a",j.VIDEO="v",j.MUXED="av",j.INIT="i",j.CAPTION="c",j.TIMED_TEXT="tt",j.KEY="k",j.OTHER="o"})(go||(go={}));var Jl;(function(j){j.DASH="d",j.HLS="h",j.SMOOTH="s",j.OTHER="o"})(Jl||(Jl={}));var zu;(function(j){j.OBJECT="CMCD-Object",j.REQUEST="CMCD-Request",j.SESSION="CMCD-Session",j.STATUS="CMCD-Status"})(zu||(zu={}));const hu={[zu.OBJECT]:["br","d","ot","tb"],[zu.REQUEST]:["bl","dl","mtp","nor","nrr","su"],[zu.SESSION]:["cid","pr","sf","sid","st","v"],[zu.STATUS]:["bs","rtp"]};class ou{constructor(r,a){this.value=void 0,this.params=void 0,Array.isArray(r)&&(r=r.map(_=>_ instanceof ou?_:new ou(_))),this.value=r,this.params=a}}class Dl{constructor(r){this.description=void 0,this.description=r}}const Zu="Dict";function hc(j){return Array.isArray(j)?JSON.stringify(j):j instanceof Map?"Map{}":j instanceof Set?"Set{}":typeof j=="object"?JSON.stringify(j):String(j)}function Sc(j,r,a,_){return new Error(`failed to ${j} "${hc(r)}" as ${a}`,{cause:_})}const yl="Bare Item",uo="Boolean",Cc="Byte Sequence",pc="Decimal",il="Integer";function ku(j){return j<-999999999999999||999999999999999<j}const lo=/[\x00-\x1f\x7f]+/,al="Token",Dc="Key";function gu(j,r,a){return Sc("serialize",j,r,a)}function Ac(j){if(typeof j!="boolean")throw gu(j,uo);return j?"?1":"?0"}function sl(j){return btoa(String.fromCharCode(...j))}function jo(j){if(ArrayBuffer.isView(j)===!1)throw gu(j,Cc);return`:${sl(j)}:`}function ol(j){if(ku(j))throw gu(j,il);return j.toString()}function je(j){return`@${ol(j.getTime()/1e3)}`}function yu(j,r){if(j<0)return-yu(-j,r);const a=Math.pow(10,r);if(Math.abs(j*a%1-.5)<Number.EPSILON){const E=Math.floor(j*a);return(E%2===0?E:E+1)/a}else return Math.round(j*a)/a}function uu(j){const r=yu(j,3);if(Math.floor(Math.abs(r)).toString().length>12)throw gu(j,pc);const a=r.toString();return a.includes(".")?a:`${a}.0`}const Ol="String";function Ko(j){if(lo.test(j))throw gu(j,Ol);return`"${j.replace(/\\/g,"\\\\").replace(/"/g,'\\"')}"`}function Eu(j){return j.description||j.toString().slice(7,-1)}function kl(j){const r=Eu(j);if(/^([a-zA-Z*])([!#$%&'*+\-.^_`|~\w:/]*)$/.test(r)===!1)throw gu(r,al);return r}function ul(j){switch(typeof j){case"number":if(!y(j))throw gu(j,yl);return Number.isInteger(j)?ol(j):uu(j);case"string":return Ko(j);case"symbol":return kl(j);case"boolean":return Ac(j);case"object":if(j instanceof Date)return je(j);if(j instanceof Uint8Array)return jo(j);if(j instanceof Dl)return kl(j);default:throw gu(j,yl)}}function Hu(j){if(/^[a-z*][a-z0-9\-_.*]*$/.test(j)===!1)throw gu(j,Dc);return j}function Ru(j){return j==null?"":Object.entries(j).map(([r,a])=>a===!0?`;${Hu(r)}`:`;${Hu(r)}=${ul(a)}`).join("")}function Su(j){return j instanceof ou?`${ul(j.value)}${Ru(j.params)}`:ul(j)}function _c(j){return`(${j.value.map(Su).join(" ")})${Ru(j.params)}`}function Rl(j,r={whitespace:!0}){if(typeof j!="object")throw gu(j,Zu);const a=j instanceof Map?j.entries():Object.entries(j),_=r!=null&&r.whitespace?" ":"";return Array.from(a).map(([E,I])=>{I instanceof ou||(I=new ou(I));let N=Hu(E);return I.value===!0?N+=Ru(I.params):(N+="=",Array.isArray(I.value)?N+=_c(I):N+=Su(I)),N}).join(`,${_}`)}function pu(j,r){return Rl(j,r)}const Yu=j=>j==="ot"||j==="sf"||j==="st",Cu=j=>typeof j=="number"?y(j):j!=null&&j!==""&&j!==!1;function Bc(j,r){const a=new URL(j),_=new URL(r);if(a.origin!==_.origin)return j;const E=a.pathname.split("/").slice(1),I=_.pathname.split("/").slice(1,-1);for(;E[0]===I[0];)E.shift(),I.shift();for(;I.length;)I.shift(),E.unshift("..");return E.join("/")}function Tc(){try{return crypto.randomUUID()}catch(j){try{const r=URL.createObjectURL(new Blob),a=r.toString();return URL.revokeObjectURL(r),a.slice(a.lastIndexOf("/")+1)}catch(r){let a=new Date().getTime();return"xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx".replace(/[xy]/g,E=>{const I=(a+Math.random()*16)%16|0;return a=Math.floor(a/16),(E=="x"?I:I&3|8).toString(16)})}}}const Ao=j=>Math.round(j),ll=(j,r)=>(r!=null&&r.baseUrl&&(j=Bc(j,r.baseUrl)),encodeURIComponent(j)),bl=j=>Ao(j/100)*100,Ll={br:Ao,d:Ao,bl,dl:bl,mtp:bl,nor:ll,rtp:bl,tb:Ao};function Ml(j,r){const a={};if(j==null||typeof j!="object")return a;const _=Object.keys(j).sort(),E=i({},Ll,r==null?void 0:r.formatters),I=r==null?void 0:r.filter;return _.forEach(N=>{if(I!=null&&I(N))return;let H=j[N];const oe=E[N];oe&&(H=oe(H,r)),!(N==="v"&&H===1)&&(N=="pr"&&H===1||Cu(H)&&(Yu(N)&&typeof H=="string"&&(H=new Dl(H)),a[N]=H))}),a}function xl(j,r={}){return j?pu(Ml(j,r),i({whitespace:!1},r)):""}function Fl(j,r={}){if(!j)return{};const a=Object.entries(j),_=Object.entries(hu).concat(Object.entries((r==null?void 0:r.customHeaderMap)||{})),E=a.reduce((I,N)=>{var H,oe;const[he,be]=N,Se=((H=_.find(De=>De[1].includes(he)))==null?void 0:H[0])||zu.REQUEST;return(oe=I[Se])!=null||(I[Se]={}),I[Se][he]=be,I},{});return Object.entries(E).reduce((I,[N,H])=>(I[N]=xl(H,r),I),{})}function Oc(j,r,a){return i(j,Fl(r,a))}const ql="CMCD";function Bl(j,r={}){if(!j)return"";const a=xl(j,r);return`${ql}=${encodeURIComponent(a)}`}const cl=/CMCD=[^&#]+/;function Pc(j,r,a){const _=Bl(r,a);if(!_)return j;if(cl.test(j))return j.replace(cl,_);const E=j.includes("?")?"&":"?";return`${j}${E}${_}`}class mc{constructor(r){this.hls=void 0,this.config=void 0,this.media=void 0,this.sid=void 0,this.cid=void 0,this.useHeaders=!1,this.includeKeys=void 0,this.initialized=!1,this.starved=!1,this.buffering=!0,this.audioBuffer=void 0,this.videoBuffer=void 0,this.onWaiting=()=>{this.initialized&&(this.starved=!0),this.buffering=!0},this.onPlaying=()=>{this.initialized||(this.initialized=!0),this.buffering=!1},this.applyPlaylistData=E=>{try{this.apply(E,{ot:go.MANIFEST,su:!this.initialized})}catch(I){R.warn("Could not generate manifest CMCD data.",I)}},this.applyFragmentData=E=>{try{const I=E.frag,N=this.hls.levels[I.level],H=this.getObjectType(I),oe={d:I.duration*1e3,ot:H};(H===go.VIDEO||H===go.AUDIO||H==go.MUXED)&&(oe.br=N.bitrate/1e3,oe.tb=this.getTopBandwidth(H)/1e3,oe.bl=this.getBufferLength(H)),this.apply(E,oe)}catch(I){R.warn("Could not generate segment CMCD data.",I)}},this.hls=r;const a=this.config=r.config,{cmcd:_}=a;_!=null&&(a.pLoader=this.createPlaylistLoader(),a.fLoader=this.createFragmentLoader(),this.sid=_.sessionId||Tc(),this.cid=_.contentId,this.useHeaders=_.useHeaders===!0,this.includeKeys=_.includeKeys,this.registerListeners())}registerListeners(){const r=this.hls;r.on(l.MEDIA_ATTACHED,this.onMediaAttached,this),r.on(l.MEDIA_DETACHED,this.onMediaDetached,this),r.on(l.BUFFER_CREATED,this.onBufferCreated,this)}unregisterListeners(){const r=this.hls;r.off(l.MEDIA_ATTACHED,this.onMediaAttached,this),r.off(l.MEDIA_DETACHED,this.onMediaDetached,this),r.off(l.BUFFER_CREATED,this.onBufferCreated,this)}destroy(){this.unregisterListeners(),this.onMediaDetached(),this.hls=this.config=this.audioBuffer=this.videoBuffer=null,this.onWaiting=this.onPlaying=null}onMediaAttached(r,a){this.media=a.media,this.media.addEventListener("waiting",this.onWaiting),this.media.addEventListener("playing",this.onPlaying)}onMediaDetached(){this.media&&(this.media.removeEventListener("waiting",this.onWaiting),this.media.removeEventListener("playing",this.onPlaying),this.media=null)}onBufferCreated(r,a){var _,E;this.audioBuffer=(_=a.tracks.audio)==null?void 0:_.buffer,this.videoBuffer=(E=a.tracks.video)==null?void 0:E.buffer}createData(){var r;return{v:1,sf:Jl.HLS,sid:this.sid,cid:this.cid,pr:(r=this.media)==null?void 0:r.playbackRate,mtp:this.hls.bandwidthEstimate/1e3}}apply(r,a={}){i(a,this.createData());const _=a.ot===go.INIT||a.ot===go.VIDEO||a.ot===go.MUXED;this.starved&&_&&(a.bs=!0,a.su=!0,this.starved=!1),a.su==null&&(a.su=this.buffering);const{includeKeys:E}=this;E&&(a=Object.keys(a).reduce((I,N)=>(E.includes(N)&&(I[N]=a[N]),I),{})),this.useHeaders?(r.headers||(r.headers={}),Oc(r.headers,a)):r.url=Pc(r.url,a)}getObjectType(r){const{type:a}=r;if(a==="subtitle")return go.TIMED_TEXT;if(r.sn==="initSegment")return go.INIT;if(a==="audio")return go.AUDIO;if(a==="main")return this.hls.audioTracks.length?go.VIDEO:go.MUXED}getTopBandwidth(r){let a=0,_;const E=this.hls;if(r===go.AUDIO)_=E.audioTracks;else{const I=E.maxAutoLevel,N=I>-1?I+1:E.levels.length;_=E.levels.slice(0,N)}for(const I of _)I.bitrate>a&&(a=I.bitrate);return a>0?a:NaN}getBufferLength(r){const a=this.hls.media,_=r===go.AUDIO?this.audioBuffer:this.videoBuffer;return!_||!a?NaN:hr.bufferInfo(_,a.currentTime,this.config.maxBufferHole).len*1e3}createPlaylistLoader(){const{pLoader:r}=this.config,a=this.applyPlaylistData,_=r||this.config.loader;return class{constructor(I){this.loader=void 0,this.loader=new _(I)}get stats(){return this.loader.stats}get context(){return this.loader.context}destroy(){this.loader.destroy()}abort(){this.loader.abort()}load(I,N,H){a(I),this.loader.load(I,N,H)}}}createFragmentLoader(){const{fLoader:r}=this.config,a=this.applyFragmentData,_=r||this.config.loader;return class{constructor(I){this.loader=void 0,this.loader=new _(I)}get stats(){return this.loader.stats}get context(){return this.loader.context}destroy(){this.loader.destroy()}abort(){this.loader.abort()}load(I,N,H){a(I),this.loader.load(I,N,H)}}}}const Lu=3e5;class Nl{constructor(r){this.hls=void 0,this.log=void 0,this.loader=null,this.uri=null,this.pathwayId=".",this.pathwayPriority=null,this.timeToLoad=300,this.reloadTimer=-1,this.updated=0,this.started=!1,this.enabled=!0,this.levels=null,this.audioTracks=null,this.subtitleTracks=null,this.penalizedPathways={},this.hls=r,this.log=R.log.bind(R,"[content-steering]:"),this.registerListeners()}registerListeners(){const r=this.hls;r.on(l.MANIFEST_LOADING,this.onManifestLoading,this),r.on(l.MANIFEST_LOADED,this.onManifestLoaded,this),r.on(l.MANIFEST_PARSED,this.onManifestParsed,this),r.on(l.ERROR,this.onError,this)}unregisterListeners(){const r=this.hls;r&&(r.off(l.MANIFEST_LOADING,this.onManifestLoading,this),r.off(l.MANIFEST_LOADED,this.onManifestLoaded,this),r.off(l.MANIFEST_PARSED,this.onManifestParsed,this),r.off(l.ERROR,this.onError,this))}startLoad(){if(this.started=!0,this.clearTimeout(),this.enabled&&this.uri){if(this.updated){const r=this.timeToLoad*1e3-(performance.now()-this.updated);if(r>0){this.scheduleRefresh(this.uri,r);return}}this.loadSteeringManifest(this.uri)}}stopLoad(){this.started=!1,this.loader&&(this.loader.destroy(),this.loader=null),this.clearTimeout()}clearTimeout(){this.reloadTimer!==-1&&(self.clearTimeout(this.reloadTimer),this.reloadTimer=-1)}destroy(){this.unregisterListeners(),this.stopLoad(),this.hls=null,this.levels=this.audioTracks=this.subtitleTracks=null}removeLevel(r){const a=this.levels;a&&(this.levels=a.filter(_=>_!==r))}onManifestLoading(){this.stopLoad(),this.enabled=!0,this.timeToLoad=300,this.updated=0,this.uri=null,this.pathwayId=".",this.levels=this.audioTracks=this.subtitleTracks=null}onManifestLoaded(r,a){const{contentSteering:_}=a;_!==null&&(this.pathwayId=_.pathwayId,this.uri=_.uri,this.started&&this.startLoad())}onManifestParsed(r,a){this.audioTracks=a.audioTracks,this.subtitleTracks=a.subtitleTracks}onError(r,a){const{errorAction:_}=a;if((_==null?void 0:_.action)===Yn.SendAlternateToPenaltyBox&&_.flags===va.MoveAllAlternatesMatchingHost){const E=this.levels;let I=this.pathwayPriority,N=this.pathwayId;if(a.context){const{groupId:H,pathwayId:oe,type:he}=a.context;H&&E?N=this.getPathwayForGroupId(H,he,N):oe&&(N=oe)}N in this.penalizedPathways||(this.penalizedPathways[N]=performance.now()),!I&&E&&(I=E.reduce((H,oe)=>(H.indexOf(oe.pathwayId)===-1&&H.push(oe.pathwayId),H),[])),I&&I.length>1&&(this.updatePathwayPriority(I),_.resolved=this.pathwayId!==N),_.resolved||R.warn(`Could not resolve ${a.details} ("${a.error.message}") with content-steering for Pathway: ${N} levels: ${E&&E.length} priorities: ${JSON.stringify(I)} penalized: ${JSON.stringify(this.penalizedPathways)}`)}}filterParsedLevels(r){this.levels=r;let a=this.getLevelsForPathway(this.pathwayId);if(a.length===0){const _=r[0].pathwayId;this.log(`No levels found in Pathway ${this.pathwayId}. Setting initial Pathway to "${_}"`),a=this.getLevelsForPathway(_),this.pathwayId=_}return a.length!==r.length&&this.log(`Found ${a.length}/${r.length} levels in Pathway "${this.pathwayId}"`),a}getLevelsForPathway(r){return this.levels===null?[]:this.levels.filter(a=>r===a.pathwayId)}updatePathwayPriority(r){this.pathwayPriority=r;let a;const _=this.penalizedPathways,E=performance.now();Object.keys(_).forEach(I=>{E-_[I]>Lu&&delete _[I]});for(let I=0;I<r.length;I++){const N=r[I];if(N in _)continue;if(N===this.pathwayId)return;const H=this.hls.nextLoadLevel,oe=this.hls.levels[H];if(a=this.getLevelsForPathway(N),a.length>0){this.log(`Setting Pathway to "${N}"`),this.pathwayId=N,za(a),this.hls.trigger(l.LEVELS_UPDATED,{levels:a});const he=this.hls.levels[H];oe&&he&&this.levels&&(he.attrs["STABLE-VARIANT-ID"]!==oe.attrs["STABLE-VARIANT-ID"]&&he.bitrate!==oe.bitrate&&this.log(`Unstable Pathways change from bitrate ${oe.bitrate} to ${he.bitrate}`),this.hls.nextLoadLevel=H);break}}}getPathwayForGroupId(r,a,_){const E=this.getLevelsForPathway(_).concat(this.levels||[]);for(let I=0;I<E.length;I++)if(a===ye.AUDIO_TRACK&&E[I].hasAudioGroup(r)||a===ye.SUBTITLE_TRACK&&E[I].hasSubtitleGroup(r))return E[I].pathwayId;return _}clonePathways(r){const a=this.levels;if(!a)return;const _={},E={};r.forEach(I=>{const{ID:N,"BASE-ID":H,"URI-REPLACEMENT":oe}=I;if(a.some(be=>be.pathwayId===N))return;const he=this.getLevelsForPathway(H).map(be=>{const Se=new Z(be.attrs);Se["PATHWAY-ID"]=N;const De=Se.AUDIO&&`${Se.AUDIO}_clone_${N}`,He=Se.SUBTITLES&&`${Se.SUBTITLES}_clone_${N}`;De&&(_[Se.AUDIO]=De,Se.AUDIO=De),He&&(E[Se.SUBTITLES]=He,Se.SUBTITLES=He);const Xe=ec(be.uri,Se["STABLE-VARIANT-ID"],"PER-VARIANT-URIS",oe),lt=new Fa({attrs:Se,audioCodec:be.audioCodec,bitrate:be.bitrate,height:be.height,name:be.name,url:Xe,videoCodec:be.videoCodec,width:be.width});if(be.audioGroups)for(let vt=1;vt<be.audioGroups.length;vt++)lt.addGroupId("audio",`${be.audioGroups[vt]}_clone_${N}`);if(be.subtitleGroups)for(let vt=1;vt<be.subtitleGroups.length;vt++)lt.addGroupId("text",`${be.subtitleGroups[vt]}_clone_${N}`);return lt});a.push(...he),wl(this.audioTracks,_,oe,N),wl(this.subtitleTracks,E,oe,N)})}loadSteeringManifest(r){const a=this.hls.config,_=a.loader;this.loader&&this.loader.destroy(),this.loader=new _(a);let E;try{E=new self.URL(r)}catch(be){this.enabled=!1,this.log(`Failed to parse Steering Manifest URI: ${r}`);return}if(E.protocol!=="data:"){const be=(this.hls.bandwidthEstimate||a.abrEwmaDefaultEstimate)|0;E.searchParams.set("_HLS_pathway",this.pathwayId),E.searchParams.set("_HLS_throughput",""+be)}const I={responseType:"json",url:E.href},N=a.steeringManifestLoadPolicy.default,H=N.errorRetry||N.timeoutRetry||{},oe={loadPolicy:N,timeout:N.maxLoadTimeMs,maxRetry:H.maxNumRetry||0,retryDelay:H.retryDelayMs||0,maxRetryDelay:H.maxRetryDelayMs||0},he={onSuccess:(be,Se,De,He)=>{this.log(`Loaded steering manifest: "${E}"`);const Xe=be.data;if(Xe.VERSION!==1){this.log(`Steering VERSION ${Xe.VERSION} not supported!`);return}this.updated=performance.now(),this.timeToLoad=Xe.TTL;const{"RELOAD-URI":lt,"PATHWAY-CLONES":vt,"PATHWAY-PRIORITY":Qt}=Xe;if(lt)try{this.uri=new self.URL(lt,E).href}catch(Tr){this.enabled=!1,this.log(`Failed to parse Steering Manifest RELOAD-URI: ${lt}`);return}this.scheduleRefresh(this.uri||De.url),vt&&this.clonePathways(vt);const yr={steeringManifest:Xe,url:E.toString()};this.hls.trigger(l.STEERING_MANIFEST_LOADED,yr),Qt&&this.updatePathwayPriority(Qt)},onError:(be,Se,De,He)=>{if(this.log(`Error loading steering manifest: ${be.code} ${be.text} (${Se.url})`),this.stopLoad(),be.code===410){this.enabled=!1,this.log(`Steering manifest ${Se.url} no longer available`);return}let Xe=this.timeToLoad*1e3;if(be.code===429){const lt=this.loader;if(typeof(lt==null?void 0:lt.getResponseHeader)=="function"){const vt=lt.getResponseHeader("Retry-After");vt&&(Xe=parseFloat(vt)*1e3)}this.log(`Steering manifest ${Se.url} rate limited`);return}this.scheduleRefresh(this.uri||Se.url,Xe)},onTimeout:(be,Se,De)=>{this.log(`Timeout loading steering manifest (${Se.url})`),this.scheduleRefresh(this.uri||Se.url)}};this.log(`Requesting steering manifest: ${E}`),this.loader.load(I,oe,he)}scheduleRefresh(r,a=this.timeToLoad*1e3){this.clearTimeout(),this.reloadTimer=self.setTimeout(()=>{var _;const E=(_=this.hls)==null?void 0:_.media;if(E&&!E.ended){this.loadSteeringManifest(r);return}this.scheduleRefresh(r,this.timeToLoad*1e3)},a)}}function wl(j,r,a,_){j&&Object.keys(r).forEach(E=>{const I=j.filter(N=>N.groupId===E).map(N=>{const H=i({},N);return H.details=void 0,H.attrs=new Z(H.attrs),H.url=H.attrs.URI=ec(N.url,N.attrs["STABLE-RENDITION-ID"],"PER-RENDITION-URIS",a),H.groupId=H.attrs["GROUP-ID"]=r[E],H.attrs["PATHWAY-ID"]=_,H});j.push(...I)})}function ec(j,r,a,_){const{HOST:E,PARAMS:I,[a]:N}=_;let H;r&&(H=N==null?void 0:N[r],H&&(j=H));const oe=new self.URL(j);return E&&!H&&(oe.host=E),I&&Object.keys(I).sort().forEach(he=>{he&&oe.searchParams.set(he,I[he])}),oe.href}const tc=/^age:\s*[\d.]+\s*$/im;class vc{constructor(r){this.xhrSetup=void 0,this.requestTimeout=void 0,this.retryTimeout=void 0,this.retryDelay=void 0,this.config=null,this.callbacks=null,this.context=null,this.loader=null,this.stats=void 0,this.xhrSetup=r&&r.xhrSetup||null,this.stats=new Q,this.retryDelay=0}destroy(){this.callbacks=null,this.abortInternal(),this.loader=null,this.config=null,this.context=null,this.xhrSetup=null}abortInternal(){const r=this.loader;self.clearTimeout(this.requestTimeout),self.clearTimeout(this.retryTimeout),r&&(r.onreadystatechange=null,r.onprogress=null,r.readyState!==4&&(this.stats.aborted=!0,r.abort()))}abort(){var r;this.abortInternal(),(r=this.callbacks)!=null&&r.onAbort&&this.callbacks.onAbort(this.stats,this.context,this.loader)}load(r,a,_){if(this.stats.loading.start)throw new Error("Loader can only be used once.");this.stats.loading.start=self.performance.now(),this.context=r,this.config=a,this.callbacks=_,this.loadInternal()}loadInternal(){const{config:r,context:a}=this;if(!r||!a)return;const _=this.loader=new self.XMLHttpRequest,E=this.stats;E.loading.first=0,E.loaded=0,E.aborted=!1;const I=this.xhrSetup;I?Promise.resolve().then(()=>{if(!(this.loader!==_||this.stats.aborted))return I(_,a.url)}).catch(N=>{if(!(this.loader!==_||this.stats.aborted))return 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E=a.readyState,I=this.config;if(!_.aborted&&E>=2&&(_.loading.first===0&&(_.loading.first=Math.max(self.performance.now(),_.loading.start),I.timeout!==I.loadPolicy.maxLoadTimeMs&&(self.clearTimeout(this.requestTimeout),I.timeout=I.loadPolicy.maxLoadTimeMs,this.requestTimeout=self.setTimeout(this.loadtimeout.bind(this),I.loadPolicy.maxLoadTimeMs-(_.loading.first-_.loading.start)))),E===4)){self.clearTimeout(this.requestTimeout),a.onreadystatechange=null,a.onprogress=null;const N=a.status,H=a.responseType==="text"?a.responseText:null;if(N>=200&&N<300){const Se=H!=null?H:a.response;if(Se!=null){_.loading.end=Math.max(self.performance.now(),_.loading.first);const De=a.responseType==="arraybuffer"?Se.byteLength:Se.length;if(_.loaded=_.total=De,_.bwEstimate=_.total*8e3/(_.loading.end-_.loading.first),!this.callbacks)return;const He=this.callbacks.onProgress;if(He&&He(_,r,Se,a),!this.callbacks)return;const Xe={url:a.responseURL,data:Se,code:N};this.callbacks.onSuccess(Xe,_,r,a);return}}const 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a=this.stats;a.loaded=r.loaded,r.lengthComputable&&(a.total=r.total)}getCacheAge(){let r=null;if(this.loader&&tc.test(this.loader.getAllResponseHeaders())){const a=this.loader.getResponseHeader("age");r=a?parseFloat(a):null}return r}getResponseHeader(r){return this.loader&&new RegExp(`^${r}:\\s*[\\d.]+\\s*$`,"im").test(this.loader.getAllResponseHeaders())?this.loader.getResponseHeader(r):null}}function A(){if(self.fetch&&self.AbortController&&self.ReadableStream&&self.Request)try{return new self.ReadableStream({}),!0}catch(j){}return!1}const P=/(\d+)-(\d+)\/(\d+)/;class D{constructor(r){this.fetchSetup=void 0,this.requestTimeout=void 0,this.request=null,this.response=null,this.controller=void 0,this.context=null,this.config=null,this.callbacks=null,this.stats=void 0,this.loader=null,this.fetchSetup=r.fetchSetup||zn,this.controller=new self.AbortController,this.stats=new Q}destroy(){this.loader=this.callbacks=this.context=this.config=this.request=null,this.abortInternal(),this.response=null,this.fetchSetup=this.controller=this.stats=null}abortInternal(){this.controller&&!this.stats.loading.end&&(this.stats.aborted=!0,this.controller.abort())}abort(){var r;this.abortInternal(),(r=this.callbacks)!=null&&r.onAbort&&this.callbacks.onAbort(this.stats,this.context,this.response)}load(r,a,_){const E=this.stats;if(E.loading.start)throw new Error("Loader can only be used once.");E.loading.start=self.performance.now();const I=pe(r,this.controller.signal),N=_.onProgress,H=r.responseType==="arraybuffer",oe=H?"byteLength":"length",{maxTimeToFirstByteMs:he,maxLoadTimeMs:be}=a.loadPolicy;this.context=r,this.config=a,this.callbacks=_,this.request=this.fetchSetup(r,I),self.clearTimeout(this.requestTimeout),a.timeout=he&&y(he)?he:be,this.requestTimeout=self.setTimeout(()=>{this.abortInternal(),_.onTimeout(E,r,this.response)},a.timeout),self.fetch(this.request).then(Se=>{this.response=this.loader=Se;const De=Math.max(self.performance.now(),E.loading.start);if(self.clearTimeout(this.requestTimeout),a.timeout=be,this.requestTimeout=self.setTimeout(()=>{this.abortInternal(),_.onTimeout(E,r,this.response)},be-(De-E.loading.start)),!Se.ok){const{status:He,statusText:Xe}=Se;throw new dn(Xe||"fetch, bad network response",He,Se)}return 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0,abrController:Bo,bufferController:mo,capLevelController:dc,errorController:ts,fpsController:Ql,stretchShortVideoTrack:!1,maxAudioFramesDrift:1,forceKeyFrameOnDiscontinuity:!0,abrEwmaFastLive:3,abrEwmaSlowLive:9,abrEwmaFastVoD:3,abrEwmaSlowVoD:9,abrEwmaDefaultEstimate:5e5,abrEwmaDefaultEstimateMax:5e6,abrBandWidthFactor:.95,abrBandWidthUpFactor:.7,abrMaxWithRealBitrate:!1,maxStarvationDelay:4,maxLoadingDelay:4,minAutoBitrate:0,emeEnabled:!1,widevineLicenseUrl:void 0,drmSystems:{},drmSystemOptions:{},requestMediaKeySystemAccessFunc:cr,testBandwidth:!0,progressive:!1,lowLatencyMode:!0,cmcd:void 0,enableDateRangeMetadataCues:!0,enableEmsgMetadataCues:!0,enableID3MetadataCues:!0,useMediaCapabilities:!0,certLoadPolicy:{default:Oa},keyLoadPolicy:{default:{maxTimeToFirstByteMs:8e3,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:2e4,backoff:"linear"},errorRetry:{maxNumRetry:8,retryDelayMs:1e3,maxRetryDelayMs:2e4,backoff:"linear"}}},manifestLoadPolicy:{default:{maxTimeToFirstByteMs:1/0,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},playlistLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:2,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},fragLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:12e4,timeoutRetry:{maxNumRetry:4,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:6,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},steeringManifestLoadPolicy:{default:{maxTimeToFirstByteMs:1e4,maxLoadTimeMs:2e4,timeoutRetry:{maxNumRetry:2,retryDelayMs:0,maxRetryDelayMs:0},errorRetry:{maxNumRetry:1,retryDelayMs:1e3,maxRetryDelayMs:8e3}}},manifestLoadingTimeOut:1e4,manifestLoadingMaxRetry:1,manifestLoadingRetryDelay:1e3,manifestLoadingMaxRetryTimeout:64e3,levelLoadingTimeOut:1e4,levelLoadingMaxRetry:4,levelLoadingRetryDelay:1e3,levelLoadingMaxRetryTimeout:64e3,fragLoadingTimeOut:2e4,fragLoadingMaxRetry:6,fragLoadingRetryDelay:1e3,fragLoadingMaxRetryTimeout:64e3},ds()),{},{subtitleStreamController:cs,subtitleTrackController:Hs,timelineController:Ma,audioStreamController:ha,audioTrackController:gs,emeController:nl,cmcdController:mc,contentSteeringController:Nl});function ds(){return{cueHandler:Qa,enableWebVTT:!0,enableIMSC1:!0,enableCEA708Captions:!0,captionsTextTrack1Label:"English",captionsTextTrack1LanguageCode:"en",captionsTextTrack2Label:"Spanish",captionsTextTrack2LanguageCode:"es",captionsTextTrack3Label:"Unknown CC",captionsTextTrack3LanguageCode:"",captionsTextTrack4Label:"Unknown CC",captionsTextTrack4LanguageCode:"",renderTextTracksNatively:!0}}function yo(j,r){if((r.liveSyncDurationCount||r.liveMaxLatencyDurationCount)&&(r.liveSyncDuration||r.liveMaxLatencyDuration))throw new Error("Illegal hls.js config: don't mix up liveSyncDurationCount/liveMaxLatencyDurationCount and liveSyncDuration/liveMaxLatencyDuration");if(r.liveMaxLatencyDurationCount!==void 0&&(r.liveSyncDurationCount===void 0||r.liveMaxLatencyDurationCount<=r.liveSyncDurationCount))throw new Error('Illegal hls.js config: "liveMaxLatencyDurationCount" must be greater than "liveSyncDurationCount"');if(r.liveMaxLatencyDuration!==void 0&&(r.liveSyncDuration===void 0||r.liveMaxLatencyDuration<=r.liveSyncDuration))throw new Error('Illegal hls.js config: "liveMaxLatencyDuration" must be greater than "liveSyncDuration"');const a=ys(j),_=["manifest","level","frag"],E=["TimeOut","MaxRetry","RetryDelay","MaxRetryTimeout"];return _.forEach(I=>{const N=`${I==="level"?"playlist":I}LoadPolicy`,H=r[N]===void 0,oe=[];E.forEach(he=>{const be=`${I}Loading${he}`,Se=r[be];if(Se!==void 0&&H){oe.push(be);const De=a[N].default;switch(r[N]={default:De},he){case"TimeOut":De.maxLoadTimeMs=Se,De.maxTimeToFirstByteMs=Se;break;case"MaxRetry":De.errorRetry.maxNumRetry=Se,De.timeoutRetry.maxNumRetry=Se;break;case"RetryDelay":De.errorRetry.retryDelayMs=Se,De.timeoutRetry.retryDelayMs=Se;break;case"MaxRetryTimeout":De.errorRetry.maxRetryDelayMs=Se,De.timeoutRetry.maxRetryDelayMs=Se;break}}}),oe.length&&R.warn(`hls.js config: "${oe.join('", "')}" setting(s) are deprecated, use "${N}": ${JSON.stringify(r[N])}`)}),f(f({},a),r)}function ys(j){return j&&typeof j=="object"?Array.isArray(j)?j.map(ys):Object.keys(j).reduce((r,a)=>(r[a]=ys(j[a]),r),{}):j}function gc(j){const r=j.loader;r!==D&&r!==vc?(R.log("[config]: Custom loader detected, cannot enable progressive streaming"),j.progressive=!1):A()&&(j.loader=D,j.progressive=!0,j.enableSoftwareAES=!0,R.log("[config]: Progressive streaming enabled, using FetchLoader"))}let $l;class rc extends Ka{constructor(r,a){super(r,"[level-controller]"),this._levels=[],this._firstLevel=-1,this._maxAutoLevel=-1,this._startLevel=void 0,this.currentLevel=null,this.currentLevelIndex=-1,this.manualLevelIndex=-1,this.steering=void 0,this.onParsedComplete=void 0,this.steering=a,this._registerListeners()}_registerListeners(){const{hls:r}=this;r.on(l.MANIFEST_LOADING,this.onManifestLoading,this),r.on(l.MANIFEST_LOADED,this.onManifestLoaded,this),r.on(l.LEVEL_LOADED,this.onLevelLoaded,this),r.on(l.LEVELS_UPDATED,this.onLevelsUpdated,this),r.on(l.FRAG_BUFFERED,this.onFragBuffered,this),r.on(l.ERROR,this.onError,this)}_unregisterListeners(){const{hls:r}=this;r.off(l.MANIFEST_LOADING,this.onManifestLoading,this),r.off(l.MANIFEST_LOADED,this.onManifestLoaded,this),r.off(l.LEVEL_LOADED,this.onLevelLoaded,this),r.off(l.LEVELS_UPDATED,this.onLevelsUpdated,this),r.off(l.FRAG_BUFFERED,this.onFragBuffered,this),r.off(l.ERROR,this.onError,this)}destroy(){this._unregisterListeners(),this.steering=null,this.resetLevels(),super.destroy()}stopLoad(){this._levels.forEach(a=>{a.loadError=0,a.fragmentError=0}),super.stopLoad()}resetLevels(){this._startLevel=void 0,this.manualLevelIndex=-1,this.currentLevelIndex=-1,this.currentLevel=null,this._levels=[],this._maxAutoLevel=-1}onManifestLoading(r,a){this.resetLevels()}onManifestLoaded(r,a){const _=this.hls.config.preferManagedMediaSource,E=[],I={},N={};let H=!1,oe=!1,he=!1;a.levels.forEach(be=>{var Se,De;const He=be.attrs;let{audioCodec:Xe,videoCodec:lt}=be;((Se=Xe)==null?void 0:Se.indexOf("mp4a.40.34"))!==-1&&($l||($l=/chrome|firefox/i.test(navigator.userAgent)),$l&&(be.audioCodec=Xe=void 0)),Xe&&(be.audioCodec=Xe=wi(Xe,_)),((De=lt)==null?void 0:De.indexOf("avc1"))===0&&(lt=be.videoCodec=Ji(lt));const{width:vt,height:Qt,unknownCodecs:yr}=be;if(H||(H=!!(vt&&Qt)),oe||(oe=!!lt),he||(he=!!Xe),yr!=null&&yr.length||Xe&&!yi(Xe,"audio",_)||lt&&!yi(lt,"video",_))return;const{CODECS:Tr,"FRAME-RATE":Wr,"HDCP-LEVEL":Br,"PATHWAY-ID":Cn,RESOLUTION:un,"VIDEO-RANGE":Hn}=He,En=`${`${Cn||"."}-`}${be.bitrate}-${un}-${Wr}-${Tr}-${Hn}-${Br}`;if(I[En])if(I[En].uri!==be.url&&!be.attrs["PATHWAY-ID"]){const qn=N[En]+=1;be.attrs["PATHWAY-ID"]=new Array(qn+1).join(".");const Ta=new Fa(be);I[En]=Ta,E.push(Ta)}else I[En].addGroupId("audio",He.AUDIO),I[En].addGroupId("text",He.SUBTITLES);else{const qn=new Fa(be);I[En]=qn,N[En]=1,E.push(qn)}}),this.filterAndSortMediaOptions(E,a,H,oe,he)}filterAndSortMediaOptions(r,a,_,E,I){let N=[],H=[],oe=r;if((_||E)&&I&&(oe=oe.filter(({videoCodec:Xe,videoRange:lt,width:vt,height:Qt})=>(!!Xe||!!(vt&&Qt))&&es(lt))),oe.length===0){Promise.resolve().then(()=>{if(this.hls){a.levels.length&&this.warn(`One or more CODECS in variant not supported: ${JSON.stringify(a.levels[0].attrs)}`);const Xe=new Error("no level with compatible codecs found in manifest");this.hls.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.MANIFEST_INCOMPATIBLE_CODECS_ERROR,fatal:!0,url:a.url,error:Xe,reason:Xe.message})}});return}if(a.audioTracks){const{preferManagedMediaSource:Xe}=this.hls.config;N=a.audioTracks.filter(lt=>!lt.audioCodec||yi(lt.audioCodec,"audio",Xe)),nc(N)}a.subtitles&&(H=a.subtitles,nc(H));const he=oe.slice(0);oe.sort((Xe,lt)=>{if(Xe.attrs["HDCP-LEVEL"]!==lt.attrs["HDCP-LEVEL"])return(Xe.attrs["HDCP-LEVEL"]||"")>(lt.attrs["HDCP-LEVEL"]||"")?1:-1;if(_&&Xe.height!==lt.height)return Xe.height-lt.height;if(Xe.frameRate!==lt.frameRate)return Xe.frameRate-lt.frameRate;if(Xe.videoRange!==lt.videoRange)return Ds.indexOf(Xe.videoRange)-Ds.indexOf(lt.videoRange);if(Xe.videoCodec!==lt.videoCodec){const vt=oi(Xe.videoCodec),Qt=oi(lt.videoCodec);if(vt!==Qt)return Qt-vt}if(Xe.uri===lt.uri&&Xe.codecSet!==lt.codecSet){const vt=Wi(Xe.codecSet),Qt=Wi(lt.codecSet);if(vt!==Qt)return Qt-vt}return Xe.averageBitrate!==lt.averageBitrate?Xe.averageBitrate-lt.averageBitrate:0});let be=he[0];if(this.steering&&(oe=this.steering.filterParsedLevels(oe),oe.length!==he.length)){for(let Xe=0;Xe<he.length;Xe++)if(he[Xe].pathwayId===oe[0].pathwayId){be=he[Xe];break}}this._levels=oe;for(let Xe=0;Xe<oe.length;Xe++)if(oe[Xe]===be){var Se;this._firstLevel=Xe;const lt=be.bitrate,vt=this.hls.bandwidthEstimate;if(this.log(`manifest loaded, ${oe.length} level(s) found, first bitrate: ${lt}`),((Se=this.hls.userConfig)==null?void 0:Se.abrEwmaDefaultEstimate)===void 0){const Qt=Math.min(lt,this.hls.config.abrEwmaDefaultEstimateMax);Qt>vt&&vt===To.abrEwmaDefaultEstimate&&(this.hls.bandwidthEstimate=Qt)}break}const De=I&&!E,He={levels:oe,audioTracks:N,subtitleTracks:H,sessionData:a.sessionData,sessionKeys:a.sessionKeys,firstLevel:this._firstLevel,stats:a.stats,audio:I,video:E,altAudio:!De&&N.some(Xe=>!!Xe.url)};this.hls.trigger(l.MANIFEST_PARSED,He),(this.hls.config.autoStartLoad||this.hls.forceStartLoad)&&this.hls.startLoad(this.hls.config.startPosition)}get levels(){return this._levels.length===0?null:this._levels}get level(){return this.currentLevelIndex}set level(r){const a=this._levels;if(a.length===0)return;if(r<0||r>=a.length){const be=new Error("invalid level idx"),Se=r<0;if(this.hls.trigger(l.ERROR,{type:b.OTHER_ERROR,details:x.LEVEL_SWITCH_ERROR,level:r,fatal:Se,error:be,reason:be.message}),Se)return;r=Math.min(r,a.length-1)}const _=this.currentLevelIndex,E=this.currentLevel,I=E?E.attrs["PATHWAY-ID"]:void 0,N=a[r],H=N.attrs["PATHWAY-ID"];if(this.currentLevelIndex=r,this.currentLevel=N,_===r&&N.details&&E&&I===H)return;this.log(`Switching to level ${r} (${N.height?N.height+"p ":""}${N.videoRange?N.videoRange+" ":""}${N.codecSet?N.codecSet+" ":""}@${N.bitrate})${H?" with Pathway "+H:""} from level ${_}${I?" with Pathway "+I:""}`);const oe={level:r,attrs:N.attrs,details:N.details,bitrate:N.bitrate,averageBitrate:N.averageBitrate,maxBitrate:N.maxBitrate,realBitrate:N.realBitrate,width:N.width,height:N.height,codecSet:N.codecSet,audioCodec:N.audioCodec,videoCodec:N.videoCodec,audioGroups:N.audioGroups,subtitleGroups:N.subtitleGroups,loaded:N.loaded,loadError:N.loadError,fragmentError:N.fragmentError,name:N.name,id:N.id,uri:N.uri,url:N.url,urlId:0,audioGroupIds:N.audioGroupIds,textGroupIds:N.textGroupIds};this.hls.trigger(l.LEVEL_SWITCHING,oe);const he=N.details;if(!he||he.live){const be=this.switchParams(N.uri,E==null?void 0:E.details,he);this.loadPlaylist(be)}}get manualLevel(){return this.manualLevelIndex}set manualLevel(r){this.manualLevelIndex=r,this._startLevel===void 0&&(this._startLevel=r),r!==-1&&(this.level=r)}get firstLevel(){return this._firstLevel}set firstLevel(r){this._firstLevel=r}get startLevel(){if(this._startLevel===void 0){const r=this.hls.config.startLevel;return r!==void 0?r:this.hls.firstAutoLevel}return this._startLevel}set startLevel(r){this._startLevel=r}onError(r,a){a.fatal||!a.context||a.context.type===ye.LEVEL&&a.context.level===this.level&&this.checkRetry(a)}onFragBuffered(r,{frag:a}){if(a!==void 0&&a.type===Ye.MAIN){const _=a.elementaryStreams;if(!Object.keys(_).some(I=>!!_[I]))return;const E=this._levels[a.level];E!=null&&E.loadError&&(this.log(`Resetting level error count of ${E.loadError} on frag buffered`),E.loadError=0)}}onLevelLoaded(r,a){var _;const{level:E,details:I}=a,N=this._levels[E];if(!N){var H;this.warn(`Invalid level index ${E}`),(H=a.deliveryDirectives)!=null&&H.skip&&(I.deltaUpdateFailed=!0);return}E===this.currentLevelIndex?(N.fragmentError===0&&(N.loadError=0),this.playlistLoaded(E,a,N.details)):(_=a.deliveryDirectives)!=null&&_.skip&&(I.deltaUpdateFailed=!0)}loadPlaylist(r){super.loadPlaylist();const a=this.currentLevelIndex,_=this.currentLevel;if(_&&this.shouldLoadPlaylist(_)){let E=_.uri;if(r)try{E=r.addDirectives(E)}catch(N){this.warn(`Could not construct new URL with HLS Delivery Directives: ${N}`)}const I=_.attrs["PATHWAY-ID"];this.log(`Loading level index ${a}${(r==null?void 0:r.msn)!==void 0?" at sn "+r.msn+" part "+r.part:""} with${I?" Pathway "+I:""} ${E}`),this.clearTimer(),this.hls.trigger(l.LEVEL_LOADING,{url:E,level:a,pathwayId:_.attrs["PATHWAY-ID"],id:0,deliveryDirectives:r||null})}}get nextLoadLevel(){return this.manualLevelIndex!==-1?this.manualLevelIndex:this.hls.nextAutoLevel}set nextLoadLevel(r){this.level=r,this.manualLevelIndex===-1&&(this.hls.nextAutoLevel=r)}removeLevel(r){var a;const _=this._levels.filter((E,I)=>I!==r?!0:(this.steering&&this.steering.removeLevel(E),E===this.currentLevel&&(this.currentLevel=null,this.currentLevelIndex=-1,E.details&&E.details.fragments.forEach(N=>N.level=-1)),!1));za(_),this._levels=_,this.currentLevelIndex>-1&&(a=this.currentLevel)!=null&&a.details&&(this.currentLevelIndex=this.currentLevel.details.fragments[0].level),this.hls.trigger(l.LEVELS_UPDATED,{levels:_})}onLevelsUpdated(r,{levels:a}){this._levels=a}checkMaxAutoUpdated(){const{autoLevelCapping:r,maxAutoLevel:a,maxHdcpLevel:_}=this.hls;this._maxAutoLevel!==a&&(this._maxAutoLevel=a,this.hls.trigger(l.MAX_AUTO_LEVEL_UPDATED,{autoLevelCapping:r,levels:this.levels,maxAutoLevel:a,minAutoLevel:this.hls.minAutoLevel,maxHdcpLevel:_}))}}function nc(j){const r={};j.forEach(a=>{const _=a.groupId||"";a.id=r[_]=r[_]||0,r[_]++})}class fl{constructor(r){this.config=void 0,this.keyUriToKeyInfo={},this.emeController=null,this.config=r}abort(r){for(const _ in this.keyUriToKeyInfo){const E=this.keyUriToKeyInfo[_].loader;if(E){var a;if(r&&r!==((a=E.context)==null?void 0:a.frag.type))return;E.abort()}}}detach(){for(const r in this.keyUriToKeyInfo){const a=this.keyUriToKeyInfo[r];(a.mediaKeySessionContext||a.decryptdata.isCommonEncryption)&&delete this.keyUriToKeyInfo[r]}}destroy(){this.detach();for(const r in this.keyUriToKeyInfo){const a=this.keyUriToKeyInfo[r].loader;a&&a.destroy()}this.keyUriToKeyInfo={}}createKeyLoadError(r,a=x.KEY_LOAD_ERROR,_,E,I){return new Ni({type:b.NETWORK_ERROR,details:a,fatal:!1,frag:r,response:I,error:_,networkDetails:E})}loadClear(r,a){if(this.emeController&&this.config.emeEnabled){const{sn:_,cc:E}=r;for(let I=0;I<a.length;I++){const N=a[I];if(E<=N.cc&&(_==="initSegment"||N.sn==="initSegment"||_<N.sn)){this.emeController.selectKeySystemFormat(N).then(H=>{N.setKeyFormat(H)});break}}}}load(r){return!r.decryptdata&&r.encrypted&&this.emeController&&this.config.emeEnabled?this.emeController.selectKeySystemFormat(r).then(a=>this.loadInternal(r,a)):this.loadInternal(r)}loadInternal(r,a){var _,E;a&&r.setKeyFormat(a);const I=r.decryptdata;if(!I){const he=new Error(a?`Expected frag.decryptdata to be defined after setting format ${a}`:"Missing decryption data on fragment in onKeyLoading");return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,he))}const N=I.uri;if(!N)return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,new Error(`Invalid key URI: "${N}"`)));let H=this.keyUriToKeyInfo[N];if((_=H)!=null&&_.decryptdata.key)return I.key=H.decryptdata.key,Promise.resolve({frag:r,keyInfo:H});if((E=H)!=null&&E.keyLoadPromise){var oe;switch((oe=H.mediaKeySessionContext)==null?void 0:oe.keyStatus){case void 0:case"status-pending":case"usable":case"usable-in-future":return H.keyLoadPromise.then(he=>(I.key=he.keyInfo.decryptdata.key,{frag:r,keyInfo:H}))}}switch(H=this.keyUriToKeyInfo[N]={decryptdata:I,keyLoadPromise:null,loader:null,mediaKeySessionContext:null},I.method){case"ISO-23001-7":case"SAMPLE-AES":case"SAMPLE-AES-CENC":case"SAMPLE-AES-CTR":return I.keyFormat==="identity"?this.loadKeyHTTP(H,r):this.loadKeyEME(H,r);case"AES-128":return this.loadKeyHTTP(H,r);default:return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,new Error(`Key supplied with unsupported METHOD: "${I.method}"`)))}}loadKeyEME(r,a){const _={frag:a,keyInfo:r};if(this.emeController&&this.config.emeEnabled){const E=this.emeController.loadKey(_);if(E)return(r.keyLoadPromise=E.then(I=>(r.mediaKeySessionContext=I,_))).catch(I=>{throw r.keyLoadPromise=null,I})}return Promise.resolve(_)}loadKeyHTTP(r,a){const _=this.config,E=_.loader,I=new E(_);return a.keyLoader=r.loader=I,r.keyLoadPromise=new Promise((N,H)=>{const oe={keyInfo:r,frag:a,responseType:"arraybuffer",url:r.decryptdata.uri},he=_.keyLoadPolicy.default,be={loadPolicy:he,timeout:he.maxLoadTimeMs,maxRetry:0,retryDelay:0,maxRetryDelay:0},Se={onSuccess:(De,He,Xe,lt)=>{const{frag:vt,keyInfo:Qt,url:yr}=Xe;if(!vt.decryptdata||Qt!==this.keyUriToKeyInfo[yr])return H(this.createKeyLoadError(vt,x.KEY_LOAD_ERROR,new Error("after key load, decryptdata unset or changed"),lt));Qt.decryptdata.key=vt.decryptdata.key=new Uint8Array(De.data),vt.keyLoader=null,Qt.loader=null,N({frag:vt,keyInfo:Qt})},onError:(De,He,Xe,lt)=>{this.resetLoader(He),H(this.createKeyLoadError(a,x.KEY_LOAD_ERROR,new Error(`HTTP Error ${De.code} loading key ${De.text}`),Xe,f({url:oe.url,data:void 0},De)))},onTimeout:(De,He,Xe)=>{this.resetLoader(He),H(this.createKeyLoadError(a,x.KEY_LOAD_TIMEOUT,new Error("key loading timed out"),Xe))},onAbort:(De,He,Xe)=>{this.resetLoader(He),H(this.createKeyLoadError(a,x.INTERNAL_ABORTED,new Error("key loading aborted"),Xe))}};I.load(oe,be,Se)})}resetLoader(r){const{frag:a,keyInfo:_,url:E}=r,I=_.loader;a.keyLoader===I&&(a.keyLoader=null,_.loader=null),delete this.keyUriToKeyInfo[E],I&&I.destroy()}}function ki(){return self.SourceBuffer||self.WebKitSourceBuffer}function El(){if(!si())return!1;const r=ki();return!r||r.prototype&&typeof r.prototype.appendBuffer=="function"&&typeof r.prototype.remove=="function"}function ic(){if(!El())return!1;const j=si();return typeof(j==null?void 0:j.isTypeSupported)=="function"&&(["avc1.42E01E,mp4a.40.2","av01.0.01M.08","vp09.00.50.08"].some(r=>j.isTypeSupported(la(r,"video")))||["mp4a.40.2","fLaC"].some(r=>j.isTypeSupported(la(r,"audio"))))}function Uo(){var j;const r=ki();return typeof(r==null||(j=r.prototype)==null?void 0:j.changeType)=="function"}const no=250,Wa=2,dl=.1,Sl=.05;class ac{constructor(r,a,_,E){this.config=void 0,this.media=null,this.fragmentTracker=void 0,this.hls=void 0,this.nudgeRetry=0,this.stallReported=!1,this.stalled=null,this.moved=!1,this.seeking=!1,this.config=r,this.media=a,this.fragmentTracker=_,this.hls=E}destroy(){this.media=null,this.hls=this.fragmentTracker=null}poll(r,a){const{config:_,media:E,stalled:I}=this;if(E===null)return;const{currentTime:N,seeking:H}=E,oe=this.seeking&&!H,he=!this.seeking&&H;if(this.seeking=H,N!==r){if(this.moved=!0,H||(this.nudgeRetry=0),I!==null){if(this.stallReported){const vt=self.performance.now()-I;R.warn(`playback not stuck anymore @${N}, after ${Math.round(vt)}ms`),this.stallReported=!1}this.stalled=null}return}if(he||oe){this.stalled=null;return}if(E.paused&&!H||E.ended||E.playbackRate===0||!hr.getBuffered(E).length){this.nudgeRetry=0;return}const be=hr.bufferInfo(E,N,0),Se=be.nextStart||0;if(H){const vt=be.len>Wa,Qt=!Se||a&&a.start<=N||Se-N>Wa&&!this.fragmentTracker.getPartialFragment(N);if(vt||Qt)return;this.moved=!1}if(!this.moved&&this.stalled!==null){var De;if(!(be.len>0)&&!Se)return;const Qt=Math.max(Se,be.start||0)-N,yr=this.hls.levels?this.hls.levels[this.hls.currentLevel]:null,Wr=(yr==null||(De=yr.details)==null?void 0:De.live)?yr.details.targetduration*2:Wa,Br=this.fragmentTracker.getPartialFragment(N);if(Qt>0&&(Qt<=Wr||Br)){E.paused||this._trySkipBufferHole(Br);return}}const He=self.performance.now();if(I===null){this.stalled=He;return}const Xe=He-I;if(!H&&Xe>=no&&(this._reportStall(be),!this.media))return;const lt=hr.bufferInfo(E,N,_.maxBufferHole);this._tryFixBufferStall(lt,Xe)}_tryFixBufferStall(r,a){const{config:_,fragmentTracker:E,media:I}=this;if(I===null)return;const N=I.currentTime,H=E.getPartialFragment(N);H&&(this._trySkipBufferHole(H)||!this.media)||(r.len>_.maxBufferHole||r.nextStart&&r.nextStart-N<_.maxBufferHole)&&a>_.highBufferWatchdogPeriod*1e3&&(R.warn("Trying to nudge playhead over buffer-hole"),this.stalled=null,this._tryNudgeBuffer())}_reportStall(r){const{hls:a,media:_,stallReported:E}=this;if(!E&&_){this.stallReported=!0;const I=new Error(`Playback stalling at @${_.currentTime} due to low buffer (${JSON.stringify(r)})`);R.warn(I.message),a.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_STALLED_ERROR,fatal:!1,error:I,buffer:r.len})}}_trySkipBufferHole(r){const{config:a,hls:_,media:E}=this;if(E===null)return 0;const I=E.currentTime,N=hr.bufferInfo(E,I,0),H=I<N.start?N.start:N.nextStart;if(H){const oe=N.len<=a.maxBufferHole,he=N.len>0&&N.len<1&&E.readyState<3,be=H-I;if(be>0&&(oe||he)){if(be>a.maxBufferHole){const{fragmentTracker:De}=this;let He=!1;if(I===0){const Xe=De.getAppendedFrag(0,Ye.MAIN);Xe&&H<Xe.end&&(He=!0)}if(!He){const Xe=r||De.getAppendedFrag(I,Ye.MAIN);if(Xe){let lt=!1,vt=Xe.end;for(;vt<H;){const Qt=De.getPartialFragment(vt);if(Qt)vt+=Qt.duration;else{lt=!0;break}}if(lt)return 0}}}const Se=Math.max(H+Sl,I+dl);if(R.warn(`skipping hole, adjusting currentTime from ${I} to ${Se}`),this.moved=!0,this.stalled=null,E.currentTime=Se,r&&!r.gap){const De=new Error(`fragment loaded with buffer holes, seeking from ${I} to ${Se}`);_.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_SEEK_OVER_HOLE,fatal:!1,error:De,reason:De.message,frag:r})}return Se}}return 0}_tryNudgeBuffer(){const{config:r,hls:a,media:_,nudgeRetry:E}=this;if(_===null)return;const I=_.currentTime;if(this.nudgeRetry++,E<r.nudgeMaxRetry){const N=I+(E+1)*r.nudgeOffset,H=new Error(`Nudging 'currentTime' from ${I} to ${N}`);R.warn(H.message),_.currentTime=N,a.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_NUDGE_ON_STALL,error:H,fatal:!1})}else{const N=new Error(`Playhead still not moving while enough data buffered @${I} after ${r.nudgeMaxRetry} nudges`);R.error(N.message),a.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_STALLED_ERROR,error:N,fatal:!0})}}}const hl=100;class pl extends Do{constructor(r,a,_){super(r,a,_,"[stream-controller]",Ye.MAIN),this.audioCodecSwap=!1,this.gapController=null,this.level=-1,this._forceStartLoad=!1,this.altAudio=!1,this.audioOnly=!1,this.fragPlaying=null,this.onvplaying=null,this.onvseeked=null,this.fragLastKbps=0,this.couldBacktrack=!1,this.backtrackFragment=null,this.audioCodecSwitch=!1,this.videoBuffer=null,this._registerListeners()}_registerListeners(){const{hls:r}=this;r.on(l.MEDIA_ATTACHED,this.onMediaAttached,this),r.on(l.MEDIA_DETACHING,this.onMediaDetaching,this),r.on(l.MANIFEST_LOADING,this.onManifestLoading,this),r.on(l.MANIFEST_PARSED,this.onManifestParsed,this),r.on(l.LEVEL_LOADING,this.onLevelLoading,this),r.on(l.LEVEL_LOADED,this.onLevelLoaded,this),r.on(l.FRAG_LOAD_EMERGENCY_ABORTED,this.onFragLoadEmergencyAborted,this),r.on(l.ERROR,this.onError,this),r.on(l.AUDIO_TRACK_SWITCHING,this.onAudioTrackSwitching,this),r.on(l.AUDIO_TRACK_SWITCHED,this.onAudioTrackSwitched,this),r.on(l.BUFFER_CREATED,this.onBufferCreated,this),r.on(l.BUFFER_FLUSHED,this.onBufferFlushed,this),r.on(l.LEVELS_UPDATED,this.onLevelsUpdated,this),r.on(l.FRAG_BUFFERED,this.onFragBuffered,this)}_unregisterListeners(){const{hls:r}=this;r.off(l.MEDIA_ATTACHED,this.onMediaAttached,this),r.off(l.MEDIA_DETACHING,this.onMediaDetaching,this),r.off(l.MANIFEST_LOADING,this.onManifestLoading,this),r.off(l.MANIFEST_PARSED,this.onManifestParsed,this),r.off(l.LEVEL_LOADED,this.onLevelLoaded,this),r.off(l.FRAG_LOAD_EMERGENCY_ABORTED,this.onFragLoadEmergencyAborted,this),r.off(l.ERROR,this.onError,this),r.off(l.AUDIO_TRACK_SWITCHING,this.onAudioTrackSwitching,this),r.off(l.AUDIO_TRACK_SWITCHED,this.onAudioTrackSwitched,this),r.off(l.BUFFER_CREATED,this.onBufferCreated,this),r.off(l.BUFFER_FLUSHED,this.onBufferFlushed,this),r.off(l.LEVELS_UPDATED,this.onLevelsUpdated,this),r.off(l.FRAG_BUFFERED,this.onFragBuffered,this)}onHandlerDestroying(){this._unregisterListeners(),super.onHandlerDestroying()}startLoad(r){if(this.levels){const{lastCurrentTime:a,hls:_}=this;if(this.stopLoad(),this.setInterval(hl),this.level=-1,!this.startFragRequested){let E=_.startLevel;E===-1&&(_.config.testBandwidth&&this.levels.length>1?(E=0,this.bitrateTest=!0):E=_.firstAutoLevel),_.nextLoadLevel=E,this.level=_.loadLevel,this.loadedmetadata=!1}a>0&&r===-1&&(this.log(`Override startPosition with lastCurrentTime @${a.toFixed(3)}`),r=a),this.state=pn.IDLE,this.nextLoadPosition=this.startPosition=this.lastCurrentTime=r,this.tick()}else this._forceStartLoad=!0,this.state=pn.STOPPED}stopLoad(){this._forceStartLoad=!1,super.stopLoad()}doTick(){switch(this.state){case pn.WAITING_LEVEL:{const{levels:a,level:_}=this,E=a==null?void 0:a[_],I=E==null?void 0:E.details;if(I&&(!I.live||this.levelLastLoaded===E)){if(this.waitForCdnTuneIn(I))break;this.state=pn.IDLE;break}else if(this.hls.nextLoadLevel!==this.level){this.state=pn.IDLE;break}break}case pn.FRAG_LOADING_WAITING_RETRY:{var r;const a=self.performance.now(),_=this.retryDate;if(!_||a>=_||(r=this.media)!=null&&r.seeking){const{levels:E,level:I}=this,N=E==null?void 0:E[I];this.resetStartWhenNotLoaded(N||null),this.state=pn.IDLE}}break}this.state===pn.IDLE&&this.doTickIdle(),this.onTickEnd()}onTickEnd(){super.onTickEnd(),this.checkBuffer(),this.checkFragmentChanged()}doTickIdle(){const{hls:r,levelLastLoaded:a,levels:_,media:E}=this;if(a===null||!E&&(this.startFragRequested||!r.config.startFragPrefetch)||this.altAudio&&this.audioOnly)return;const I=this.buffering?r.nextLoadLevel:r.loadLevel;if(!(_!=null&&_[I]))return;const N=_[I],H=this.getMainFwdBufferInfo();if(H===null)return;const oe=this.getLevelDetails();if(oe&&this._streamEnded(H,oe)){const lt={};this.altAudio&&(lt.type="video"),this.hls.trigger(l.BUFFER_EOS,lt),this.state=pn.ENDED;return}if(!this.buffering)return;r.loadLevel!==I&&r.manualLevel===-1&&this.log(`Adapting to level ${I} from level ${this.level}`),this.level=r.nextLoadLevel=I;const he=N.details;if(!he||this.state===pn.WAITING_LEVEL||he.live&&this.levelLastLoaded!==N){this.level=I,this.state=pn.WAITING_LEVEL;return}const be=H.len,Se=this.getMaxBufferLength(N.maxBitrate);if(be>=Se)return;this.backtrackFragment&&this.backtrackFragment.start>H.end&&(this.backtrackFragment=null);const De=this.backtrackFragment?this.backtrackFragment.start:H.end;let He=this.getNextFragment(De,he);if(this.couldBacktrack&&!this.fragPrevious&&He&&He.sn!=="initSegment"&&this.fragmentTracker.getState(He)!==Zs.OK){var Xe;const vt=((Xe=this.backtrackFragment)!=null?Xe:He).sn-he.startSN,Qt=he.fragments[vt-1];Qt&&He.cc===Qt.cc&&(He=Qt,this.fragmentTracker.removeFragment(Qt))}else this.backtrackFragment&&H.len&&(this.backtrackFragment=null);if(He&&this.isLoopLoading(He,De)){if(!He.gap){const vt=this.audioOnly&&!this.altAudio?Y.AUDIO:Y.VIDEO,Qt=(vt===Y.VIDEO?this.videoBuffer:this.mediaBuffer)||this.media;Qt&&this.afterBufferFlushed(Qt,vt,Ye.MAIN)}He=this.getNextFragmentLoopLoading(He,he,H,Ye.MAIN,Se)}He&&(He.initSegment&&!He.initSegment.data&&!this.bitrateTest&&(He=He.initSegment),this.loadFragment(He,N,De))}loadFragment(r,a,_){const E=this.fragmentTracker.getState(r);this.fragCurrent=r,E===Zs.NOT_LOADED||E===Zs.PARTIAL?r.sn==="initSegment"?this._loadInitSegment(r,a):this.bitrateTest?(this.log(`Fragment ${r.sn} of level ${r.level} is being downloaded to test bitrate and will not be buffered`),this._loadBitrateTestFrag(r,a)):(this.startFragRequested=!0,super.loadFragment(r,a,_)):this.clearTrackerIfNeeded(r)}getBufferedFrag(r){return this.fragmentTracker.getBufferedFrag(r,Ye.MAIN)}followingBufferedFrag(r){return r?this.getBufferedFrag(r.end+.5):null}immediateLevelSwitch(){this.abortCurrentFrag(),this.flushMainBuffer(0,Number.POSITIVE_INFINITY)}nextLevelSwitch(){const{levels:r,media:a}=this;if(a!=null&&a.readyState){let _;const E=this.getAppendedFrag(a.currentTime);E&&E.start>1&&this.flushMainBuffer(0,E.start-1);const I=this.getLevelDetails();if(I!=null&&I.live){const H=this.getMainFwdBufferInfo();if(!H||H.len<I.targetduration*2)return}if(!a.paused&&r){const H=this.hls.nextLoadLevel,oe=r[H],he=this.fragLastKbps;he&&this.fragCurrent?_=this.fragCurrent.duration*oe.maxBitrate/(1e3*he)+1:_=0}else _=0;const N=this.getBufferedFrag(a.currentTime+_);if(N){const H=this.followingBufferedFrag(N);if(H){this.abortCurrentFrag();const oe=H.maxStartPTS?H.maxStartPTS:H.start,he=H.duration,be=Math.max(N.end,oe+Math.min(Math.max(he-this.config.maxFragLookUpTolerance,he*(this.couldBacktrack?.5:.125)),he*(this.couldBacktrack?.75:.25)));this.flushMainBuffer(be,Number.POSITIVE_INFINITY)}}}}abortCurrentFrag(){const r=this.fragCurrent;switch(this.fragCurrent=null,this.backtrackFragment=null,r&&(r.abortRequests(),this.fragmentTracker.removeFragment(r)),this.state){case pn.KEY_LOADING:case pn.FRAG_LOADING:case pn.FRAG_LOADING_WAITING_RETRY:case pn.PARSING:case pn.PARSED:this.state=pn.IDLE;break}this.nextLoadPosition=this.getLoadPosition()}flushMainBuffer(r,a){super.flushMainBuffer(r,a,this.altAudio?"video":null)}onMediaAttached(r,a){super.onMediaAttached(r,a);const _=a.media;this.onvplaying=this.onMediaPlaying.bind(this),this.onvseeked=this.onMediaSeeked.bind(this),_.addEventListener("playing",this.onvplaying),_.addEventListener("seeked",this.onvseeked),this.gapController=new ac(this.config,_,this.fragmentTracker,this.hls)}onMediaDetaching(){const{media:r}=this;r&&this.onvplaying&&this.onvseeked&&(r.removeEventListener("playing",this.onvplaying),r.removeEventListener("seeked",this.onvseeked),this.onvplaying=this.onvseeked=null,this.videoBuffer=null),this.fragPlaying=null,this.gapController&&(this.gapController.destroy(),this.gapController=null),super.onMediaDetaching()}onMediaPlaying(){this.tick()}onMediaSeeked(){const r=this.media,a=r?r.currentTime:null;y(a)&&this.log(`Media seeked to ${a.toFixed(3)}`);const _=this.getMainFwdBufferInfo();if(_===null||_.len===0){this.warn(`Main forward buffer length on "seeked" event ${_?_.len:"empty"})`);return}this.tick()}onManifestLoading(){this.log("Trigger BUFFER_RESET"),this.hls.trigger(l.BUFFER_RESET,void 0),this.fragmentTracker.removeAllFragments(),this.couldBacktrack=!1,this.startPosition=this.lastCurrentTime=this.fragLastKbps=0,this.levels=this.fragPlaying=this.backtrackFragment=this.levelLastLoaded=null,this.altAudio=this.audioOnly=this.startFragRequested=!1}onManifestParsed(r,a){let _=!1,E=!1;a.levels.forEach(I=>{const N=I.audioCodec;N&&(_=_||N.indexOf("mp4a.40.2")!==-1,E=E||N.indexOf("mp4a.40.5")!==-1)}),this.audioCodecSwitch=_&&E&&!Uo(),this.audioCodecSwitch&&this.log("Both AAC/HE-AAC audio found in levels; declaring level codec as HE-AAC"),this.levels=a.levels,this.startFragRequested=!1}onLevelLoading(r,a){const{levels:_}=this;if(!_||this.state!==pn.IDLE)return;const E=_[a.level];(!E.details||E.details.live&&this.levelLastLoaded!==E||this.waitForCdnTuneIn(E.details))&&(this.state=pn.WAITING_LEVEL)}onLevelLoaded(r,a){var _;const{levels:E}=this,I=a.level,N=a.details,H=N.totalduration;if(!E){this.warn(`Levels were reset while loading level ${I}`);return}this.log(`Level ${I} loaded [${N.startSN},${N.endSN}]${N.lastPartSn?`[part-${N.lastPartSn}-${N.lastPartIndex}]`:""}, cc [${N.startCC}, ${N.endCC}] duration:${H}`);const oe=E[I],he=this.fragCurrent;he&&(this.state===pn.FRAG_LOADING||this.state===pn.FRAG_LOADING_WAITING_RETRY)&&he.level!==a.level&&he.loader&&this.abortCurrentFrag();let be=0;if(N.live||(_=oe.details)!=null&&_.live){var Se;if(this.checkLiveUpdate(N),N.deltaUpdateFailed)return;be=this.alignPlaylists(N,oe.details,(Se=this.levelLastLoaded)==null?void 0:Se.details)}if(oe.details=N,this.levelLastLoaded=oe,this.hls.trigger(l.LEVEL_UPDATED,{details:N,level:I}),this.state===pn.WAITING_LEVEL){if(this.waitForCdnTuneIn(N))return;this.state=pn.IDLE}this.startFragRequested?N.live&&this.synchronizeToLiveEdge(N):this.setStartPosition(N,be),this.tick()}_handleFragmentLoadProgress(r){var a;const{frag:_,part:E,payload:I}=r,{levels:N}=this;if(!N){this.warn(`Levels were reset while fragment load was in progress. Fragment ${_.sn} of level ${_.level} will not be buffered`);return}const H=N[_.level],oe=H.details;if(!oe){this.warn(`Dropping fragment ${_.sn} of level ${_.level} after level details were reset`),this.fragmentTracker.removeFragment(_);return}const he=H.videoCodec,be=oe.PTSKnown||!oe.live,Se=(a=_.initSegment)==null?void 0:a.data,De=this._getAudioCodec(H),He=this.transmuxer=this.transmuxer||new Xn(this.hls,Ye.MAIN,this._handleTransmuxComplete.bind(this),this._handleTransmuxerFlush.bind(this)),Xe=E?E.index:-1,lt=Xe!==-1,vt=new mn(_.level,_.sn,_.stats.chunkCount,I.byteLength,Xe,lt),Qt=this.initPTS[_.cc];He.push(I,Se,De,he,_,E,oe.totalduration,be,vt,Qt)}onAudioTrackSwitching(r,a){const _=this.altAudio;if(!!!a.url){if(this.mediaBuffer!==this.media){this.log("Switching on main audio, use media.buffered to schedule main fragment loading"),this.mediaBuffer=this.media;const N=this.fragCurrent;N&&(this.log("Switching to main audio track, cancel main fragment load"),N.abortRequests(),this.fragmentTracker.removeFragment(N)),this.resetTransmuxer(),this.resetLoadingState()}else this.audioOnly&&this.resetTransmuxer();const I=this.hls;_&&(I.trigger(l.BUFFER_FLUSHING,{startOffset:0,endOffset:Number.POSITIVE_INFINITY,type:null}),this.fragmentTracker.removeAllFragments()),I.trigger(l.AUDIO_TRACK_SWITCHED,a)}}onAudioTrackSwitched(r,a){const _=a.id,E=!!this.hls.audioTracks[_].url;if(E){const I=this.videoBuffer;I&&this.mediaBuffer!==I&&(this.log("Switching on alternate audio, use video.buffered to schedule main fragment loading"),this.mediaBuffer=I)}this.altAudio=E,this.tick()}onBufferCreated(r,a){const _=a.tracks;let E,I,N=!1;for(const H in _){const oe=_[H];if(oe.id==="main"){if(I=H,E=oe,H==="video"){const he=_[H];he&&(this.videoBuffer=he.buffer)}}else N=!0}N&&E?(this.log(`Alternate track found, use ${I}.buffered to schedule main fragment loading`),this.mediaBuffer=E.buffer):this.mediaBuffer=this.media}onFragBuffered(r,a){const{frag:_,part:E}=a;if(_&&_.type!==Ye.MAIN)return;if(this.fragContextChanged(_)){this.warn(`Fragment ${_.sn}${E?" p: "+E.index:""} of level ${_.level} finished buffering, but was aborted. state: ${this.state}`),this.state===pn.PARSED&&(this.state=pn.IDLE);return}const I=E?E.stats:_.stats;this.fragLastKbps=Math.round(8*I.total/(I.buffering.end-I.loading.first)),_.sn!=="initSegment"&&(this.fragPrevious=_),this.fragBufferedComplete(_,E)}onError(r,a){var _;if(a.fatal){this.state=pn.ERROR;return}switch(a.details){case x.FRAG_GAP:case x.FRAG_PARSING_ERROR:case x.FRAG_DECRYPT_ERROR:case x.FRAG_LOAD_ERROR:case x.FRAG_LOAD_TIMEOUT:case x.KEY_LOAD_ERROR:case x.KEY_LOAD_TIMEOUT:this.onFragmentOrKeyLoadError(Ye.MAIN,a);break;case x.LEVEL_LOAD_ERROR:case x.LEVEL_LOAD_TIMEOUT:case x.LEVEL_PARSING_ERROR:!a.levelRetry&&this.state===pn.WAITING_LEVEL&&((_=a.context)==null?void 0:_.type)===ye.LEVEL&&(this.state=pn.IDLE);break;case x.BUFFER_APPEND_ERROR:case x.BUFFER_FULL_ERROR:if(!a.parent||a.parent!=="main")return;if(a.details===x.BUFFER_APPEND_ERROR){this.resetLoadingState();return}this.reduceLengthAndFlushBuffer(a)&&this.flushMainBuffer(0,Number.POSITIVE_INFINITY);break;case x.INTERNAL_EXCEPTION:this.recoverWorkerError(a);break}}checkBuffer(){const{media:r,gapController:a}=this;if(!(!r||!a||!r.readyState)){if(this.loadedmetadata||!hr.getBuffered(r).length){const _=this.state!==pn.IDLE?this.fragCurrent:null;a.poll(this.lastCurrentTime,_)}this.lastCurrentTime=r.currentTime}}onFragLoadEmergencyAborted(){this.state=pn.IDLE,this.loadedmetadata||(this.startFragRequested=!1,this.nextLoadPosition=this.startPosition),this.tickImmediate()}onBufferFlushed(r,{type:a}){if(a!==Y.AUDIO||this.audioOnly&&!this.altAudio){const _=(a===Y.VIDEO?this.videoBuffer:this.mediaBuffer)||this.media;this.afterBufferFlushed(_,a,Ye.MAIN),this.tick()}}onLevelsUpdated(r,a){this.level>-1&&this.fragCurrent&&(this.level=this.fragCurrent.level),this.levels=a.levels}swapAudioCodec(){this.audioCodecSwap=!this.audioCodecSwap}seekToStartPos(){const{media:r}=this;if(!r)return;const a=r.currentTime;let _=this.startPosition;if(_>=0&&a<_){if(r.seeking){this.log(`could not seek to ${_}, already seeking at ${a}`);return}const E=hr.getBuffered(r),N=(E.length?E.start(0):0)-_;N>0&&(N<this.config.maxBufferHole||N<this.config.maxFragLookUpTolerance)&&(this.log(`adjusting start position by ${N} to match buffer start`),_+=N,this.startPosition=_),this.log(`seek to target start position ${_} from current time ${a}`),r.currentTime=_}}_getAudioCodec(r){let a=this.config.defaultAudioCodec||r.audioCodec;return this.audioCodecSwap&&a&&(this.log("Swapping audio codec"),a.indexOf("mp4a.40.5")!==-1?a="mp4a.40.2":a="mp4a.40.5"),a}_loadBitrateTestFrag(r,a){r.bitrateTest=!0,this._doFragLoad(r,a).then(_=>{const{hls:E}=this;if(!_||this.fragContextChanged(r))return;a.fragmentError=0,this.state=pn.IDLE,this.startFragRequested=!1,this.bitrateTest=!1;const I=r.stats;I.parsing.start=I.parsing.end=I.buffering.start=I.buffering.end=self.performance.now(),E.trigger(l.FRAG_LOADED,_),r.bitrateTest=!1})}_handleTransmuxComplete(r){var a;const _="main",{hls:E}=this,{remuxResult:I,chunkMeta:N}=r,H=this.getCurrentContext(N);if(!H){this.resetWhenMissingContext(N);return}const{frag:oe,part:he,level:be}=H,{video:Se,text:De,id3:He,initSegment:Xe}=I,{details:lt}=be,vt=this.altAudio?void 0:I.audio;if(this.fragContextChanged(oe)){this.fragmentTracker.removeFragment(oe);return}if(this.state=pn.PARSING,Xe){if(Xe!=null&&Xe.tracks){const Tr=oe.initSegment||oe;this._bufferInitSegment(be,Xe.tracks,Tr,N),E.trigger(l.FRAG_PARSING_INIT_SEGMENT,{frag:Tr,id:_,tracks:Xe.tracks})}const Qt=Xe.initPTS,yr=Xe.timescale;y(Qt)&&(this.initPTS[oe.cc]={baseTime:Qt,timescale:yr},E.trigger(l.INIT_PTS_FOUND,{frag:oe,id:_,initPTS:Qt,timescale:yr}))}if(Se&&lt&&oe.sn!=="initSegment"){const Qt=lt.fragments[oe.sn-1-lt.startSN],yr=oe.sn===lt.startSN,Tr=!Qt||oe.cc>Qt.cc;if(I.independent!==!1){const{startPTS:Wr,endPTS:Br,startDTS:Cn,endDTS:un}=Se;if(he)he.elementaryStreams[Se.type]={startPTS:Wr,endPTS:Br,startDTS:Cn,endDTS:un};else if(Se.firstKeyFrame&&Se.independent&&N.id===1&&!Tr&&(this.couldBacktrack=!0),Se.dropped&&Se.independent){const Hn=this.getMainFwdBufferInfo(),li=(Hn?Hn.end:this.getLoadPosition())+this.config.maxBufferHole,En=Se.firstKeyFramePTS?Se.firstKeyFramePTS:Wr;if(!yr&&li<En-this.config.maxBufferHole&&!Tr){this.backtrack(oe);return}else Tr&&(oe.gap=!0);oe.setElementaryStreamInfo(Se.type,oe.start,Br,oe.start,un,!0)}else yr&&Wr>Wa&&(oe.gap=!0);oe.setElementaryStreamInfo(Se.type,Wr,Br,Cn,un),this.backtrackFragment&&(this.backtrackFragment=oe),this.bufferFragmentData(Se,oe,he,N,yr||Tr)}else if(yr||Tr)oe.gap=!0;else{this.backtrack(oe);return}}if(vt){const{startPTS:Qt,endPTS:yr,startDTS:Tr,endDTS:Wr}=vt;he&&(he.elementaryStreams[Y.AUDIO]={startPTS:Qt,endPTS:yr,startDTS:Tr,endDTS:Wr}),oe.setElementaryStreamInfo(Y.AUDIO,Qt,yr,Tr,Wr),this.bufferFragmentData(vt,oe,he,N)}if(lt&&He!=null&&(a=He.samples)!=null&&a.length){const Qt={id:_,frag:oe,details:lt,samples:He.samples};E.trigger(l.FRAG_PARSING_METADATA,Qt)}if(lt&&De){const Qt={id:_,frag:oe,details:lt,samples:De.samples};E.trigger(l.FRAG_PARSING_USERDATA,Qt)}}_bufferInitSegment(r,a,_,E){if(this.state!==pn.PARSING)return;this.audioOnly=!!a.audio&&!a.video,this.altAudio&&!this.audioOnly&&delete a.audio;const{audio:I,video:N,audiovideo:H}=a;if(I){let oe=r.audioCodec;const he=navigator.userAgent.toLowerCase();if(this.audioCodecSwitch){oe&&(oe.indexOf("mp4a.40.5")!==-1?oe="mp4a.40.2":oe="mp4a.40.5");const be=I.metadata;be&&"channelCount"in be&&(be.channelCount||1)!==1&&he.indexOf("firefox")===-1&&(oe="mp4a.40.5")}oe&&oe.indexOf("mp4a.40.5")!==-1&&he.indexOf("android")!==-1&&I.container!=="audio/mpeg"&&(oe="mp4a.40.2",this.log(`Android: force audio codec to ${oe}`)),r.audioCodec&&r.audioCodec!==oe&&this.log(`Swapping manifest audio codec "${r.audioCodec}" for "${oe}"`),I.levelCodec=oe,I.id="main",this.log(`Init audio buffer, container:${I.container}, codecs[selected/level/parsed]=[${oe||""}/${r.audioCodec||""}/${I.codec}]`)}N&&(N.levelCodec=r.videoCodec,N.id="main",this.log(`Init video buffer, container:${N.container}, codecs[level/parsed]=[${r.videoCodec||""}/${N.codec}]`)),H&&this.log(`Init audiovideo buffer, container:${H.container}, codecs[level/parsed]=[${r.codecs}/${H.codec}]`),this.hls.trigger(l.BUFFER_CODECS,a),Object.keys(a).forEach(oe=>{const be=a[oe].initSegment;be!=null&&be.byteLength&&this.hls.trigger(l.BUFFER_APPENDING,{type:oe,data:be,frag:_,part:null,chunkMeta:E,parent:_.type})}),this.tickImmediate()}getMainFwdBufferInfo(){return this.getFwdBufferInfo(this.mediaBuffer?this.mediaBuffer:this.media,Ye.MAIN)}backtrack(r){this.couldBacktrack=!0,this.backtrackFragment=r,this.resetTransmuxer(),this.flushBufferGap(r),this.fragmentTracker.removeFragment(r),this.fragPrevious=null,this.nextLoadPosition=r.start,this.state=pn.IDLE}checkFragmentChanged(){const r=this.media;let a=null;if(r&&r.readyState>1&&r.seeking===!1){const _=r.currentTime;if(hr.isBuffered(r,_)?a=this.getAppendedFrag(_):hr.isBuffered(r,_+.1)&&(a=this.getAppendedFrag(_+.1)),a){this.backtrackFragment=null;const E=this.fragPlaying,I=a.level;(!E||a.sn!==E.sn||E.level!==I)&&(this.fragPlaying=a,this.hls.trigger(l.FRAG_CHANGED,{frag:a}),(!E||E.level!==I)&&this.hls.trigger(l.LEVEL_SWITCHED,{level:I}))}}}get nextLevel(){const r=this.nextBufferedFrag;return r?r.level:-1}get currentFrag(){const r=this.media;return r?this.fragPlaying||this.getAppendedFrag(r.currentTime):null}get currentProgramDateTime(){const r=this.media;if(r){const a=r.currentTime,_=this.currentFrag;if(_&&y(a)&&y(_.programDateTime)){const E=_.programDateTime+(a-_.start)*1e3;return new Date(E)}}return null}get currentLevel(){const r=this.currentFrag;return r?r.level:-1}get nextBufferedFrag(){const r=this.currentFrag;return r?this.followingBufferedFrag(r):null}get forceStartLoad(){return this._forceStartLoad}}class Xu{static get version(){return"1.5.20"}static isMSESupported(){return El()}static isSupported(){return ic()}static getMediaSource(){return si()}static get Events(){return l}static get ErrorTypes(){return b}static get ErrorDetails(){return x}static get DefaultConfig(){return Xu.defaultConfig?Xu.defaultConfig:To}static set DefaultConfig(r){Xu.defaultConfig=r}constructor(r={}){this.config=void 0,this.userConfig=void 0,this.coreComponents=void 0,this.networkControllers=void 0,this.started=!1,this._emitter=new Zn,this._autoLevelCapping=-1,this._maxHdcpLevel=null,this.abrController=void 0,this.bufferController=void 0,this.capLevelController=void 0,this.latencyController=void 0,this.levelController=void 0,this.streamController=void 0,this.audioTrackController=void 0,this.subtitleTrackController=void 0,this.emeController=void 0,this.cmcdController=void 0,this._media=null,this.url=null,this.triggeringException=void 0,$(r.debug||!1,"Hls instance");const a=this.config=yo(Xu.DefaultConfig,r);this.userConfig=r,a.progressive&&gc(a);const{abrController:_,bufferController:E,capLevelController:I,errorController:N,fpsController:H}=a,oe=new N(this),he=this.abrController=new _(this),be=this.bufferController=new E(this),Se=this.capLevelController=new I(this),De=new H(this),He=new Or(this),Xe=new fa(this),lt=a.contentSteeringController,vt=lt?new lt(this):null,Qt=this.levelController=new rc(this,vt),yr=new Jt(this),Tr=new fl(this.config),Wr=this.streamController=new pl(this,yr,Tr);Se.setStreamController(Wr),De.setStreamController(Wr);const Br=[He,Qt,Wr];vt&&Br.splice(1,0,vt),this.networkControllers=Br;const Cn=[he,be,Se,De,Xe,yr];this.audioTrackController=this.createController(a.audioTrackController,Br);const un=a.audioStreamController;un&&Br.push(new un(this,yr,Tr)),this.subtitleTrackController=this.createController(a.subtitleTrackController,Br);const Hn=a.subtitleStreamController;Hn&&Br.push(new Hn(this,yr,Tr)),this.createController(a.timelineController,Cn),Tr.emeController=this.emeController=this.createController(a.emeController,Cn),this.cmcdController=this.createController(a.cmcdController,Cn),this.latencyController=this.createController(Ls,Cn),this.coreComponents=Cn,Br.push(oe);const li=oe.onErrorOut;typeof li=="function"&&this.on(l.ERROR,li,oe)}createController(r,a){if(r){const _=new r(this);return a&&a.push(_),_}return null}on(r,a,_=this){this._emitter.on(r,a,_)}once(r,a,_=this){this._emitter.once(r,a,_)}removeAllListeners(r){this._emitter.removeAllListeners(r)}off(r,a,_=this,E){this._emitter.off(r,a,_,E)}listeners(r){return this._emitter.listeners(r)}emit(r,a,_){return this._emitter.emit(r,a,_)}trigger(r,a){if(this.config.debug)return this.emit(r,r,a);try{return this.emit(r,r,a)}catch(_){if(R.error("An internal error happened while handling event "+r+'. Error message: "'+_.message+'". Here is a stacktrace:',_),!this.triggeringException){this.triggeringException=!0;const E=r===l.ERROR;this.trigger(l.ERROR,{type:b.OTHER_ERROR,details:x.INTERNAL_EXCEPTION,fatal:E,event:r,error:_}),this.triggeringException=!1}}return!1}listenerCount(r){return this._emitter.listenerCount(r)}destroy(){R.log("destroy"),this.trigger(l.DESTROYING,void 0),this.detachMedia(),this.removeAllListeners(),this._autoLevelCapping=-1,this.url=null,this.networkControllers.forEach(a=>a.destroy()),this.networkControllers.length=0,this.coreComponents.forEach(a=>a.destroy()),this.coreComponents.length=0;const r=this.config;r.xhrSetup=r.fetchSetup=void 0,this.userConfig=null}attachMedia(r){R.log("attachMedia"),this._media=r,this.trigger(l.MEDIA_ATTACHING,{media:r})}detachMedia(){R.log("detachMedia"),this.trigger(l.MEDIA_DETACHING,void 0),this._media=null}loadSource(r){this.stopLoad();const a=this.media,_=this.url,E=this.url=s.buildAbsoluteURL(self.location.href,r,{alwaysNormalize:!0});this._autoLevelCapping=-1,this._maxHdcpLevel=null,R.log(`loadSource:${E}`),a&&_&&(_!==E||this.bufferController.hasSourceTypes())&&(this.detachMedia(),this.attachMedia(a)),this.trigger(l.MANIFEST_LOADING,{url:r})}startLoad(r=-1){R.log(`startLoad(${r})`),this.started=!0,this.resumeBuffering();for(let a=0;a<this.networkControllers.length&&(this.networkControllers[a].startLoad(r),!(!this.started||!this.networkControllers));a++);}stopLoad(){R.log("stopLoad"),this.started=!1;for(let r=0;r<this.networkControllers.length&&(this.networkControllers[r].stopLoad(),!(this.started||!this.networkControllers));r++);}resumeBuffering(){R.log("resume buffering"),this.networkControllers.forEach(r=>{r.resumeBuffering&&r.resumeBuffering()})}pauseBuffering(){R.log("pause buffering"),this.networkControllers.forEach(r=>{r.pauseBuffering&&r.pauseBuffering()})}swapAudioCodec(){R.log("swapAudioCodec"),this.streamController.swapAudioCodec()}recoverMediaError(){R.log("recoverMediaError");const r=this._media;this.detachMedia(),r&&this.attachMedia(r)}removeLevel(r){this.levelController.removeLevel(r)}get levels(){const r=this.levelController.levels;return r||[]}get currentLevel(){return this.streamController.currentLevel}set currentLevel(r){R.log(`set currentLevel:${r}`),this.levelController.manualLevel=r,this.streamController.immediateLevelSwitch()}get nextLevel(){return this.streamController.nextLevel}set nextLevel(r){R.log(`set nextLevel:${r}`),this.levelController.manualLevel=r,this.streamController.nextLevelSwitch()}get loadLevel(){return this.levelController.level}set loadLevel(r){R.log(`set loadLevel:${r}`),this.levelController.manualLevel=r}get nextLoadLevel(){return this.levelController.nextLoadLevel}set nextLoadLevel(r){this.levelController.nextLoadLevel=r}get firstLevel(){return Math.max(this.levelController.firstLevel,this.minAutoLevel)}set firstLevel(r){R.log(`set firstLevel:${r}`),this.levelController.firstLevel=r}get startLevel(){const r=this.levelController.startLevel;return r===-1&&this.abrController.forcedAutoLevel>-1?this.abrController.forcedAutoLevel:r}set startLevel(r){R.log(`set startLevel:${r}`),r!==-1&&(r=Math.max(r,this.minAutoLevel)),this.levelController.startLevel=r}get capLevelToPlayerSize(){return this.config.capLevelToPlayerSize}set capLevelToPlayerSize(r){const a=!!r;a!==this.config.capLevelToPlayerSize&&(a?this.capLevelController.startCapping():(this.capLevelController.stopCapping(),this.autoLevelCapping=-1,this.streamController.nextLevelSwitch()),this.config.capLevelToPlayerSize=a)}get autoLevelCapping(){return this._autoLevelCapping}get bandwidthEstimate(){const{bwEstimator:r}=this.abrController;return r?r.getEstimate():NaN}set bandwidthEstimate(r){this.abrController.resetEstimator(r)}get ttfbEstimate(){const{bwEstimator:r}=this.abrController;return r?r.getEstimateTTFB():NaN}set autoLevelCapping(r){this._autoLevelCapping!==r&&(R.log(`set autoLevelCapping:${r}`),this._autoLevelCapping=r,this.levelController.checkMaxAutoUpdated())}get maxHdcpLevel(){return this._maxHdcpLevel}set maxHdcpLevel(r){Is(r)&&this._maxHdcpLevel!==r&&(this._maxHdcpLevel=r,this.levelController.checkMaxAutoUpdated())}get autoLevelEnabled(){return this.levelController.manualLevel===-1}get manualLevel(){return this.levelController.manualLevel}get minAutoLevel(){const{levels:r,config:{minAutoBitrate:a}}=this;if(!r)return 0;const _=r.length;for(let E=0;E<_;E++)if(r[E].maxBitrate>=a)return E;return 0}get maxAutoLevel(){const{levels:r,autoLevelCapping:a,maxHdcpLevel:_}=this;let E;if(a===-1&&r!=null&&r.length?E=r.length-1:E=a,_)for(let I=E;I--;){const N=r[I].attrs["HDCP-LEVEL"];if(N&&N<=_)return I}return E}get firstAutoLevel(){return 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