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/p__Declaration__Research__ConferenceResearch__Edit__index.e0c9012a.async.js b/p__Declaration__Research__ConferenceResearch__Edit__index.8fe75e50.async.js
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",Ne="data:image/png;base64,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",Z="data:image/png;base64,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",tt="data:image/png;base64,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",he="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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",Se="data:image/png;base64,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",re="data:image/png;base64,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",xe="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/F09vMBST6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",Ne="data:image/png;base64,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",Z="data:image/png;base64,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",tt="data:image/png;base64,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",he="data:image/png;base64,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",qe="data:image/png;base64,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",bt="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=",Se="data:image/png;base64,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",re="data:image/png;base64,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",xe="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/F09vMBST6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diff --git a/p__Declaration__Research__IntellectualProperty__Edit__index.6a54c4ce.async.js b/p__Declaration__Research__IntellectualProperty__Edit__index.f538ef6e.async.js
similarity index 86%
rename from p__Declaration__Research__IntellectualProperty__Edit__index.6a54c4ce.async.js
rename to p__Declaration__Research__IntellectualProperty__Edit__index.f538ef6e.async.js
index 143530ab38..86766876f9 100644
--- a/p__Declaration__Research__IntellectualProperty__Edit__index.6a54c4ce.async.js
+++ b/p__Declaration__Research__IntellectualProperty__Edit__index.f538ef6e.async.js
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",Ne="data:image/png;base64,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",B="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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",tt="data:image/png;base64,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",he="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,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",ge="data:image/png;base64,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",ye="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/F09vMBST6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",Ne="data:image/png;base64,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",B="data:image/png;base64,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",tt="data:image/png;base64,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",he="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,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",ge="data:image/png;base64,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",ye="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/F09vMBST6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diff --git a/p__Declaration__Research__Paper__Edit__index.cab2bed7.async.js b/p__Declaration__Research__Paper__Edit__index.126d8b8c.async.js
similarity index 86%
rename from p__Declaration__Research__Paper__Edit__index.cab2bed7.async.js
rename to p__Declaration__Research__Paper__Edit__index.126d8b8c.async.js
index 67f9da04f0..cd93c6b7bd 100644
--- a/p__Declaration__Research__Paper__Edit__index.cab2bed7.async.js
+++ b/p__Declaration__Research__Paper__Edit__index.126d8b8c.async.js
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",Me="data:image/png;base64,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",Z="data:image/png;base64,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",I="data:image/png;base64,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",Xe="data:image/png;base64,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",Ie="data:image/png;base64,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",_e="data:image/png;base64,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",it="data:image/png;base64,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",Ae="data:image/png;base64,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",bt="data:image/png;base64,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",w="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/F09vMBST6Y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",Me="data:image/png;base64,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",Z="data:image/png;base64,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",I="data:image/png;base64,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",Xe="data:image/png;base64,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",Ie="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",_e="data:image/png;base64,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",it="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=",Ae="data:image/png;base64,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",bt="data:image/png;base64,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",w="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/F09vMBST6Y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diff --git a/p__Declaration__Research__Project__Edit__index.443bfc82.async.js b/p__Declaration__Research__Project__Edit__index.ebd878e9.async.js
similarity index 86%
rename from p__Declaration__Research__Project__Edit__index.443bfc82.async.js
rename to p__Declaration__Research__Project__Edit__index.ebd878e9.async.js
index 8d98860681..9cb00e5644 100644
--- a/p__Declaration__Research__Project__Edit__index.443bfc82.async.js
+++ b/p__Declaration__Research__Project__Edit__index.ebd878e9.async.js
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",Te="data:image/png;base64,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",T="data:image/png;base64,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",qe="data:image/png;base64,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",Pe="data:image/png;base64,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",nt="data:image/png;base64,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",Ct="data:image/png;base64,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",we="data:image/png;base64,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",xt="data:image/png;base64,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",D="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/F09vMBST6Y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",Te="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=",T="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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",qe="data:image/png;base64,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",Pe="data:image/png;base64,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",nt="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAE81JREFUeF7tW3l4Tef2fveJzIkxNQc1RFsxUxJjlWpTdHDRW7RoqXtVq6jqRAe0eltUdTL0VutWqWiVVqmKRJCoeSa0SCOEREhExrN/z7e+YX97n5NEm/v87j9O9Tknezp7r/d713rXcIyrh5aahmEAhgHDcPF39h/bBvan3Ed/iO3Od36cCcA0DLjoTMB0iWuYdCrtK+/lcrOriPPZFfk/wDTVO9timvRtfDt95Oex7fS/PJdtN90wTTftd7N3dqjbBLtj0y2vJY6R54t3dl2Dvoafx6/PPsvvdfPn1o7n98Oux+9R7mNPT9u0exVPZz0fkO6Ce4th+EypH/P6H8aVg58TQBwIlwWIBIlthh0k2kLHs3/8HHYrHA8Dbm8gSauXA5IhDELGFg8kYeWGl2BYILHt3Ihym/MzM6g0mN2YhgCIX7eEjC+NqBud3RcHiO/Xj5GLp2yQ+LllgkRgckO5YGYZhqu1kc0AIoOzVc4YxA3O7Vg+k+h4yTTt/f8HJGlMAacGEl+9YsVKxonVb9vHmKSxBnDDdDNWSHZaYMjjOHvsICmWewPvLzCJbAr3ciP7wGfCxTFD25lkA4lcH6cJZ5Rwf5JdDjBt7k5zb8rJ/deYZDGDll+ZTLLcnc42cneKfdyFlcokcsF8pXtjkw18J1jaQhGrR3OD0mdY7twFpBvZ+z8zKW6QwThAuruzgyTcnReQeMyyM65skDjIZb10d0cRhLky/mQSC3JdnkwRD+mIS+o4DQBpUAaSsLq4vgBJAVI2k2wuzyMmWWxU8VPcm5vcswU6YzAZht0js+flfUuUSOBk8MYkTTBIN/Y/AMmKP0JEqJjEH4obmzPKHpPkitcM4WQJVxAKJO7iKgCSuDePWKW5O5tY8Coc3DCy9yw2KborteZQaComWSBJhWe5OytmeVOBFXZ3pLisF606r0xiIAmFJeWfUnU6qyQbrICv1BVTnM6YpFSbPfZ4i0k3zCSlNLVY6QGSIQDiUb4MkLgEt0lvdooA1qbyYOD3PfGoXq8xqtVpRGb0kOBlxKQrGakIqVoTPn7+Nu/H1JYEiciv1LhJC5/jxZhkyW4ptVVQt0lvdqSUyzLuSAY5QCImFSuF5VR3EpTT+7fBLygEtRpHChkuVZkX1ecQDtL92t2dCSNr90JNZnsBScQkCwSe5Vgy20BxUT58/QOFAgRWvPQoWvV9BHf0fIiOO7BhOWo1bYmaTVvSIqAreIBkwHQX49s3RqNGeFP0ePJl+p69675QQPGbF1iI95CqtyAiuq8GklyRpTHJEhIcLwmSXT4LjU+GzruahR1fz0NElxjUbd5WrAWe//A8iedTe9d/icy0U+g16hWVmzmlv1wsNiXoRTzIhWZk7frE5OzgSarQzCoptRJVXURYIBXn5yFuyQzUaBiBDg8+QZZf+fKjaNl3CAHkLi5C0soFOLNvG1r3fQSRvQfBdPl4JLPsWU8lbcSO5R+g97gZqNO8DRni+xlj6f1Kxh8IrFwNfgHBCqRr2RcR1rA57vnnDNrGXB+3niPWCMZ5T2JlUlu6uysqzMeeH5Yi9WAS7ugxABHR9yE7/Qzyc69YCbMbuHoxDUcT16FFjwcRVDXMdh8BIVUQWqOuTb7bwBIgEdjaMxiZv36kAJLqTa5uqeiUQqNM1HJ3hfnXsHXpbFzLvIBeY19H5Zr1iDErXx7KAerxoHCLLqTsWI+dsZ+i3m1t0e3xF+ATEGRjkukuwfczx8I3IBj3T3nf5t7MkmIse+5BRD/6LJp07gPp7tbMHoe6t7VD+wGjLPdnA0lWADgIunDQ8xZdWTmlszyHGTMleQMObFxBCy3j96NIP7Hfdp9l/dEgsjMie/3Ne5Jrk/iCkZKdmTs/MnkJh5HGx8YkJr9tICkJbuDyH78hacUHKC7Mx11PvIqqdRoq9n3zyjC0vIcx6AECNPPsCfz63RJcOX8WPpV8ERpWGz1HT0NAaDUF0qldcdi+bC56jHoRDVpHIz83G4bLBf/gKijKz8PXUwajy/CJaNyxF2dLYQG+mjII3YdPRnjbbnDp7s8WbK1k1iMm6ccpI3kyieKd2H/+1EGENWgGl8tH5UFH47/H6X1bcfcT0+AbEMSZ4y5B9sU0VL6lnmdlwiHDvbk7ySTjUvICkxmCM8MOkinEgw4S+3z10jn8/OHLCAtvhqgh4xFQubqWPwHx/34bjTv0QFDVW3A88Qec3b8dDdtEo22/kSgpzMemj6chuFoY+k54l7tS043v3x5HboG5N/a18YtnIi8nC/dNnIO8yxcRO30kuo+cioZtuxJAl84cx/r3JmHgq4sQXKM2zx6EutPlOK/BySBNn2QNSavZ6cJCFw7iPHcJiq7nEbu5Ma263eVzvyH+i3fQ5t6hCG8ZRexmrvT03gQcjItFl8HjUbVOo1JBKism0fMwgJxFUGdMcjKJgZR2bDfq3tYeLlclCxwAhXk5SD2UjJPJP5OfDmvUHG1ihqJm4xaiUuFCzqV0FBVcR436Tciwv+3eguQVH2DA1AXwD62Gc8f2YOvn7yBm0nuo0SAC2emnsfatp9H+wVG4o9fDBNCx+O9x4KflGDLzK17f4hkQuTFV75KCgkBiRhX1VXa0kH5WEC8dpH0/fonzJ/aj27DnVWwxzRIUXLuK+KWzEVztFkQNHsfzXLeb7sFdUoIdqxYgNysD3YZNhn9gyJ8AyUq+jYtJH/BElWSzZJKMM5Zw8AYSA5bdyJX0szifsh/pJ/YiK+13+AUEoVG7bmjSqTeq1m7Iry0qDaogK5W9aeLrV4bCXVwMH18/FObl0vERXWPQadA/iNkZvx/GhnkvoHZEK/R5ehbtT1gyC2f2b1duv/vwSWjUvqeDSbIUbpVlZHmcmOQBklVt1iV47uUMbFs2h+6t+7BJqFwzHHlXM5H4nznIyTxPwoHZIT/3Kgqu56DwWg6Bx0REUUE+ajdthY4DRnnW7/RKh5uDwpNjETvZ02fsmG+T2arUo8SABMkAc3ls/5l9CRSDGENY3uIuLlGGYiAzZeVTyY9vc1R0ajZtgcheg7hiFCAdT/yRFkdIWG2c2ZuIc0d3YcBLn8A3MJjYcPbgDsQvngXDxwdD3lpOfv7S6eMU/3IunkPSig/xwAsLKA4ykhRczy2VSbLtwD2dKMGQYWRh1ap2+wYEqNhTmJ+HxKXvICczHX3HvYXcrIuIX/o2/INC4R8cAj/2HhQCv8BQ+LG/A4IRGBSKa9mXcHBzLDr0H0lA8djvWYhV7RFbackN48L29xVAuqS2amuWBJcxac93iwiYanVvxbXLl8gFNYu+l8cxDRH9MwPk9O54VA9viq7DJ1GbglcdOIgkJs79jp/mTkL3x55HeOsuqlZ38KevcCxhHfxDKqNNv8fQkO0TryO/rMbhzasxeMYyUdMClk7or/b/1Q9sMQx6Yxl3jcJoDPj04/vQgMUa06QUoij/OipRDmhSnHJV8oHhqoSS4iKUFBXCzy8QKUkb0KBVNHz9g1RfygmSXhOUi4hKVhe2zVMxyCqUakVT0e+ReRI13QST2PGHN8ci9cB2xEyap/WSHFUHcU7cojfgH1wZXYdNFOBYIBUXXsdP709BrWat0eHhMaTu5HdtWfQmXD4+qNn4DqQd2U1CQr42vv8CAqvWQLfHp/AUzm1S/BPhRisR8Rgj45PINmQ30MYgvtGFRu26qz6St/bDhRMHkPjVHMQ8+y4CQqtg9YzRaNHrYTTr1Acnd/6CY4nraJ8u1e25mJNJPHGWDT92G0ZG4jzTFKm9N0nNmcRZJBmmg3RkcyxObPsBgZWrl7pYhTPD9dxs1G9xJ7oMncg9HDHIRUbYvHgGCq5dQaeBY5Fx5jgyTh1GJT9/dHlsMlZPH4EWvf+GW9t1w6ppI9BtxBRakczFrps9HtFDJyj5LUESXsurcOCrVe/KCnfnVThIN2gSW+L/PQttYoajWr3GOLt/G35dvRAPTf0YLl9/xL45Ci3uZgDdg1M7N+HY1nW4b8J7VrVBk+uqQ+voO+k1QWrwZWydSwxys8WstRs83Z13kI7ErcaZPfHo+PBTltGlILC1H4B967+iZLbL0OeUrGcn7fzmY5xM3sQBc7lQve6tVJmof0dHVKlZD9/OGIP+L36IKrUbYNfqhUg9kIQHXv4EcYveBKsmDHjxIxguH2uBmFB5kYCCr2IeAKx63Q2BZAmM03sSsDP2E9w/aS4Cq9RAyo4NOPTzSjz00kKKKwygyN4DCSD2PMcS1yJmwhwVc6yurL32p/eQ1GcmGsjFJcxR7Qa35rrKc3c0b2AYYAxKPbANPZ54lcttEfkt5lk9oh0r5iOoShi6DJ2gzTeAMvKcjHOo0bAZqtdrApevH7k41pU98OMynEzeiIFvfkkAFBfkYc3MfxBw51MOoufoVxDesrMnex0gyTxJRGkNLOFSVLtZ693YhIMbcYvfIJR7jHqJjL73h6W4kHIQfce/Q/MNq14fSaWsiM73ICV5I45tXYv7n5trU283CpJkknEh4T1ikFj+SqndiLtjIDEGnUj84YZjcYNWUYh+9DlbR1YvvPLKt4Hi67nwCwxG7BtPolbTSHQdNkkNoRzdsga7v12MsEYRlMiW+iqHSXZG6Y0/wTStO3stKwNr/zUeHR8ag1vbdyejb/r4VYSG1UHHgWNptce+NoIAah51H1KSf8LRhLXoN3EuWC0v47cjqNUkkocKW+fXy4yDVmkwzse/K/IgORjC3Z3L2V4QUz9cHcu5BRcOx39LIqH3uFlwUR7FpbjlIq3cKmHpbASEVkWXv0sGCZ0tqhi5meeJFWcP7MClsycQ/cgz2LrsPdz//HxUrRVO7Ew/uR/xS2ahuKiQjNJuwAiVvHoFygGSapIpdyfltc4kregqQDq4aSWOxq/BAy99gkp+AbhyPhUbFryIdv0ex60d7qKvjp3+OFr2GYyIzvcSg44mrEG/SfOQn3MZ6+dPRa8x0xBSrZaKSXqJp7Q+knFuy79M1u6WBqWl7RI5TxkxSbqwI/Hf4cy+RNw56J8cHAdAVhvcwL4fv0BIWB1E//1ZNSnEam6siJqZmoKC3KuoXLMu6jZvh1saNceuNUvQuMNdaNdvBIpLinE07lvs37AcodVr4a6npuNk0kYc3hSLxh3vQudHxlOi6x0kEy6rUyEq0PxIUlUKLPvkj2w5MGW1dvZ4aoN0HvIMWGE3YenbyD6fipjn5sBVqRIZfdX0xxHZZzBui7oPJ5I2EED9J8/H5fTTiFsyE33HzaT6oyUErJEujyEUkcQaaXHvEIMkSIyCdMOyGSc7rR7M4KAeiV+DE9vW37CLY/EimjFIsKawIA87ls9H3dvbot7t7RFSvTZdl2XurGLcf+qHYMxK+Hw2lYjqNG+L7o9Nhm9IZfrOlO0bsPObj1C9fhP0eXomL1Z6e5kWSFxMWQ1AT5AIMWFI4MLJQ/hl4WvoOXIqake0JaHw2644RD3yDMIjO6mi6appjyHyniHk4tIO70TSqo/QuH1PZKWdoopD/4nzAJerlJjkWaSlezy3eTYNjeggiQBhA0mVg2zuy8Dxretw9lAyej/1ushbtMERlxzJ4vkOq36z6vSdA8d6GYy0TwoxdrDEtGGrLijIy8Hmha8h8u5BqN86mrOUmVAMRqYf20MG6zp8cpkL5cZn7uzuLjfzAo5vW4+2MUOp4n982490B82i+ooWOz9+95rFqHt7B9Rq0hIlhQU4tOkbZKWdpKpKeMtOPMH2OhipFXMdc3lG2ubZxCC2qmTskBM+JBw0JpUGEsUkNkTC2OcAUCW1snIgJ1hVfa686VU+yEKpoza96gRJuldZQipdOPx1JqnKs94u8DJzx10Yr67bWwlsMFJOplolJdmVdYJHDEr75W1VSZAg2WKSl1kFm5RW4kGMDjPB6QDVAlZUDjwEiDbOpca3hMm1UWQnSN5b51J4lEEmzd3Zx7m8xSS7u/MKkjZd5K3hZwOJxqm8tDRk69wBqvHHpre02WwucTlxrPk4r21wrzGJT6Z6G0CxanvWHLjOSKn+aFJIKcXyQVK1PFl8lVJFHwMqJybRHClTe+I4e0wSK14VOa3mna0rq6Z0nLHEySR9DFlWrrmLk7MNou7EtqUTQMo4AhQ5AG/JZSozeEz92JkhXaSPGh7hJSFHV5YtANU6l6zThlDUORwc23fQLXh3d2qegrlC7goopyvz9aeYJIZNHA0/pQRlboOSUuKMBiyNcUkgrfxLgSRYBBPLjdSfZ1n9IM2dyekbHSS228PoPMhoeQ/7zFrnfLu3riwZ3jHfYFskQkVarPMClqha0OOJSSFZI6TTmT3loioDpdKnV0WJhwY0RDtQn3dg7STRw9FLNeTOSnVhdpCsX0nYQRIxKSsAAa2NsxtninaDZgQNKEoz1U9TLBbZmSHP1WMMb5+XC5KKMfo4l3Bz6ucuVsNPVh2YQ+Jihg/LlgbSjTCpbJDkGJcdJHtR0/6rivJAsn7KIpmk5V9AOkz3loASvylBnUf/YWz/dNSnAMaUtsiin/qsPEdRjh+5ubsiFjAOr3zN78rl1C2AGeXtQjcBqoh5K34usWPXp2PqFKJkN2DWcV7yJkAVN3JFrqDcV/KSUVHuEmwxTdgKWjcBqoh5K36uLb4kLXpyjNvtZjFJvW4CVHEjV+QKHgLAKRpuAlQR81b8XA+AnKLhJkAVN3JFruBVQuui4SZAFTFvxc8tNceRoiFqzGf2X1JV/DtvXuFPWKDMJJSJhs6jFy/8E9e7eeh/2QL/B6DwevuUcCm/AAAAAElFTkSuQmCC",Ct="data:image/png;base64,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",we="data:image/png;base64,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",xt="data:image/png;base64,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",D="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/F09vMBST6Y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diff --git a/p__Declaration__Research__ResearchAward__Edit__index.4d675de5.async.js b/p__Declaration__Research__ResearchAward__Edit__index.2cb879cd.async.js
similarity index 84%
rename from p__Declaration__Research__ResearchAward__Edit__index.4d675de5.async.js
rename to p__Declaration__Research__ResearchAward__Edit__index.2cb879cd.async.js
index 4440017d13..c3840370c5 100644
--- a/p__Declaration__Research__ResearchAward__Edit__index.4d675de5.async.js
+++ b/p__Declaration__Research__ResearchAward__Edit__index.2cb879cd.async.js
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",Be="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=",N="data:image/png;base64,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",_e="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEy5JREFUeF7tW2l0VFW2/m4FkhBmQ5iEJEwBMcgoElwMMoOg0q20ywkJQj/1MXTjoxVlkjm0QNs2AgIapNW2gRYRbGRMCDJGmWcIUxISyASBhITUfevsM9xzb91UgM567w8lrqq6de+puvs7397fHmJcPxJvGoYBGAYMw8Of2X/sGNhb+Rm9Ecedz/w8E4BpGPDQlYDpEWuYdCl9VtbD42WriOvZivwfYJrqmR0xTfo2fpxe8uvYcfpfXsuOm16Yppc+97JndqrXBPvFpleuJc6R14tntq5BX8Ov4+uz1/J7vfy+tfP572Hr8d8oP2N3T8e03yruzro/IN0D73bDCBjfYMDUy0be4S8IIA6ExwJEgsQOww4SHaHz2T9+DfspHA8DXjeQpNXLAMkQBiFjixuSsHLDSzAskNhxbkR5zPmaGVQazG5MQwDE1y0h40sj6kZnv4sDxD/Xz5Gbxz9I/Fq/IBGY3FAemNmG4Wlt5DKAyOBslzMGcYNzO5bNJDpfMk17/r8BSRpTwKmBxHev2LGScWL32z5jTNJYA3hhehkrJDstMOR5nD12kBTL3cC7DyaRTeH92sg9tFy4OGZoO5NsIJHr4zThjBLuT7LLAabN3WnuTTm5cmOSxQzafn6ZZLk7nW3k7hT7uAsrlUnkgvlOd2OTDXwnWNpGEbtHc4PSZ1ju3AOkG7kHl5sUN8hgHCDd3dlBEu7OBSQes+yM8w8SB9nfQ3d3FEGYK+N3JrEg1+XLFHGTjrikztMAkAZlIAmri/UFSAoQ/0yyuTyfmGSxUcVP8du85J4t0BmDyTDsNzJ75hxYpkQCJ4MbkzTBIN3Y/wNIVvwRIkLFJH5T3NicUfaYJHe8ZggnS7iCUCBxF/cfgCR+m0+s0tydTSy4CgcvjNxflpoU3ZVacyg0FZMskKTCs9ydFbPcVOB/7O5IcVkP2nWuTGIgCYUl5Z9SdTqrJBusgK/UFVOczpikVJs99rjFpLtmklKaWqz0AckQAPEo7wckLsFt0ptdIoC1qbxyjkklxYW4dGgPQhs0QfWwh7lUZuRXatykjc/xYkyyZLeU2iqo26Q3O1PKZRl3JIMcIBGT7iiF5VR3EpTzB3ciMKQK6jSOFjJcqjIX1ecQDtL92t2dCSM7eYkms11AEjHJAsGDwvxcXD6yV8hsGUuk7Jbqjz8LOcjlJR3iYiOiTWcEVXuI7Cq46RqTTG8J1kyJRYPojuj0/FuKSZR9sN0umGSBJHdkaUyyhARfQoJkl89C45Ohb13Pxq5vFiDqyQGo37yt2As8/+F5Es+nfv3xS2SlnkWP2A9UbuaU/nKz2JSgi3iQG83I3r/I5OzgSarQzCoptRJVSwRkXz6LLYsmoUJgEAwPS0uFAyo7D4VZUoI7RbfRb2wcwiJaUDKbcfoQLh78mbPAZY0rJw+i4HoOGj3eXWOOlcCyS8Jbd0btJq1kcNKYxCWzHpPsSaxMakt3d8VFhfhlfTwuHd6Nlt2eQVTn/shNv4DC/DwrYfYC16+m4njSD3i023MIqVFLJKScRcFVqqNqaH2bfLeBJUAisAXw7A6NrH0LFUBSvZGIkMzRqweUiRpgAG1dPBk9RkxGWKNHuF0ZUJr0tudRbANwg15LOYaNn0xA37FxqB3Rgq45lvA9kv+1FLWbtBS+qiykrWoDuyDz7DF0eG44WnZ7Fiw+8S3uyyQ7SG4xyXJ10m3Ja9h6p/dsxKGf/oHWfV9EZspxpJ86qEVG/y/Dozshusfz7kmuTeILRkp2Zu1daPISDiNNgI1JPiAJsLIun8G2xVMJoFqRLZB18RQ3iIhlKk8SlCDpHhCAsMhHkHnuKH762/voOyaOrmX8O564Fsnff4GX531nEege8qQV455D+0GvE0DSl1vPVjLrE5P0oKyM5Mskinfi8ytnD6NWeDN4PAEqDzqe8D3OH9iBnsMnoWJwCLeFtwS5V1NRLexh38qEQ4a7uTvJJOPank9M6aacIJnS4A42MT/LAHrqjYkIa9QSq6cMRUlxkd8tVLFSCIZM/wpXBUD9xsQhNKI5udIzuzbiyKZvMXjKcqQe3SeiVVksIggQ3rIjVk2NRXSf3yGqUx8r1ukMUj6ePLusIWk1O11Y6MJBBHdvCYoLbqFicGUBlFW3y0k7h4QVcWjT72U0bBUDWTo6/2siDm9bjSeHjEKNepGlguQvJlEeyAByFkGdMcnJpGwG0JIP0f2NDxAW2RJ3igp4dUHkSDtWxNHrrsP+xJNX9sbjQWBwZVxNOa4YVDuiOaVl7PupwGoAK8cNpjh1t4/XFqxToEh1p+pdYhFeKGVGFfVVBpJQFVYQLx2kAxu+xJVTB9Hllf9RscU0S3D75nUkxM9B5ZphiBnyNs9zvV6Kd96SEuxa9QnyszPR5ZV3EFSpyj2AZCXfxtXdf+WJqowjqppgFw46SAyg7Z9NQ/fhH6BWoxaqYCrX2bZsGq3XY+RkhzQ3cDXlBDYtfB99R89BWGRzgk+CxH5FyZ3bSigU5Gbj6NY1OLt3CyLbdkG7Z2MRWKmSDbuAisG0a6VKpJRV5EmKLeRSrOoyJ5EbSFa1WZfg+TmZ2LlyHopu5aPrK+NQrXZD3LqehaS/z8ONrCskHBgghfnXcbvgBopu3iDwmIgovl2Iuk0fw+PPxPrW7/RKh5eDwpNjUT1n95K562ObzFalHgJKB8kAc3ns8xwG0NLp6D78fYoj7OZLiooVGElfzqXXXYaOF2oQqBAYDE9ABWLQpoUTCaBaEc1VUVa2Im7nZeHisb24dGg3rpw+hMrVQ1F48zoGvfc3VHmojg2c1OPJOLh+Jdo8/SoaSPkL4HZBPu1iNybJtoMCSakmWVi1qt0Vg4NV7CkqvIWk+DjcyEpH37dnIT/7KhLiZyMopCqCKldBIHsOqYLASlURyN4HV0alkKq4mXsNh7euRodBwwgoFRudBVeZo9lKS14YGT//RQGkS2qrtmaBJGNSTuo5JCybju6xExAa2QJpJ5Kx66u/+PVKXV57Bw2iO5GK2/TpJPQdPRu1Ihj7uGs7mbQB5/ZvQ9bF0yTfI9p1QbOYfqgVGYV/z3+HVCIDlW2vy8f242TiD6SiGrXvhtb9X0K1WvVFTQuIHzvobj1kqecxUfPChyu5axRGY8CnnzyAcBZrTBPeO8UoLixAhaBKjLYUpzwVAmB4KqDkTjHF5cDASji9eyPCH+uMikEhqi/lbGnoNUG5iahklbFzgYpBVqFUK5qKfo/Mk9hOz047i8RlM9Bt2HvEoKKCm8jPyRDGNnBgXTzdeNtnYpF/NRXBVWsgNDwKQZWrEoM2fzoJfUbPQlg4k9k8Rp3du5mka8PHYlA3qg0qVgxE3rU0JH+3DGknfiFG1m70CHLSLpD7qNe8DTr8ZgRq1ItQRiZN4zVxZs8mnmfa0ioeYySrRLYhkylVBRd+hjoyke26qj6SW/sh49QhJH01DwPG/BnBVatjzfQReLTHb9Dsid44s3cLTiT9QJ/pUl3GPLmevXXBE2fZ8KNEPDNpgWmKCC0B8mUSZ5E8npV2DonLZ6Dr6+8SQE5gE5bPJNMwlbdl8SRUq90AHX/7X2Sda+dPcIBGzeQuTmwAoTDIgHlZ6TiVtAEnk9ajduOW6PjCmzi2eTXOJW9HzIujkLJ/O7Gs+4iJPgyQIHGNZ5WFdHendzply9Y9JmklGpjEloTPZ6LNgFdR8+HGuHhwJ/atWYLB734KT8UgrJ4Wi0d7MoD60IY7seMH9B/7kVVt0OS66tA6+k56TZAafJk75hODvJRnWszxB1I2k5afz0QXBhDFEb1NYSDx81lkuO7DJ4K5w82LPkC/0XGoXjcC184fx+ZFk9H7v2ciLCJKMMiDmzmZuHAgCRcO7kT25XOkjNoOfA2N2nWjmLLrm48pLg2ZuRL5OdewYe5Y9BkzG3WaRPu6KRPwyADMawp8F/MAYFUZbK1zf8KBC4zzvyRi7+pFeHrcfFSqHorTMj2YsIQ+ZwBF9/otAXRmz2acSFqHAWPnKfVmdWXttT+9h6ReM9FALi5xnmo3eIUI8M8kAzlpKUj4YhYBVFx4CxmnWUYtZTaQdvIAGa1+i3Z0NDfjEmrUCUf9Fm0pmG5ZzACagTCWBwGkdtbOfJPiTETrzmjU4SnUaxINrycAKfu3IXntMkoMWbmn96iZqNO0FRKWTqf3/cfNc48jDpCkuhNRWgNLuBTVbtZ6N6L5x3H1YtvSDwnlbrETyOi/ro9HxunD6DsqjuYbVk0dhuheL1A+dnrPTzixYx2e/sN8m3q7W5BUJSMj8SNiEJdTllLzBxIDKDF+NroM/RNu5WXh0uFdVr4jo74WGWRRIKL1k6TEtiyZgl5vTxcAcfYx6V6jTkNSe0w056alIPn75cg4exQtugxEm/4v4ZsJL5G7a9a5HzFzfdwYPNbvRbQe8MpdgeRkkp1ReuNPME3rzt7MzsS6uaPw+OCRaNS+Kxl986cTUbVWPTzO3Ddj0JTXCaDmMf1xes+/cTxxHQb+cT5YLS/z3DFiO4UKW+fXZcZBqzQYVxL+LPIgORjC3Z3H2V4QUz/M2Nlp57Ejfg66vjoeD0XyagB7eKhwyqW45SJ5MVUeYy5uy5Kp6PUWA4i7OP45UHTzOs7/moRzyduQfTmFSipPvPAWajRoAm9xEb4e/zw6vzwWjTv2pO85sX0t9v9rKfl9liO5PhxMUjU65e6kvNaZpNXzBEiHN3+L4wlr8eyERbSJ8q5cwsZP3kO7gUOJ8eyxevJQtOo9BFGd+hGDWAlr4LgFKLyRgx8/fhc9Rk5ClZp1VEzSBUJpfSQjbftck7W7pUHJVXkEk0qJSTnpKdgRPxeteg1B9ToNrV4SoWMBJFsUOgi5Vy7hwPoV6PXWNNQK53lQTvp5HNn0T6QKtdYw+gk07dgLdaNaw/AEkJvMvHgSGxeMR8/fT0W9lu0UFoc2/B2HNn6Dlj0Go/1zw0sByYRHq68qSSt3qgLLPvkjWw5MWa2bMwqhDZui0+9Gg7VAmAdh9zLgD/PgqVCBjL5q8lBE9x6CFjH9cWr3RgJo0Dsf0/1tWzYDfd+egeCqNa3RK22ky2cIRcRQI3VbHDFIgsQoSPcim3Gy06oxIzv9PJJWzHU3xl0e7fnmNISFcwYV5LGs/COqFjBREFS5GiGdd+UCbmRn4lbuNZxKWo+C/Fw8P3UFAipUVDN37OuSv1tKcalhq06lf7tpgcTFlNWlJePYQKI3wpBAxpkj5Ja7D3sXdaPaklBgOVvMi6PBNpOsUqya9BrVBJmLSz26F7tXLUTj9t3JfbOKw6A/LqCSl7Ph5xzn0tlkpG2dQ0MjOkiq0aaBpHdTc69cwM9fLaASf836jcXpHj6YqNoTvAXB662iFcFaFakp2P2Pv+KpEZMQ2qCp5grtk0Ls+87u24J9az5DSPVQ1KgbThWDanXD+ZrMhGIwUhBXudrSULr7mTu7u8vPysDJnT+i7YCXqeJ/cucG+gXNYvqKFjs/P3ntUtR/pAPqNGmFkqLbOLL5n8hOPYOACoFo2OoJsBjs5tas1rlWkhKVBiN16xxiECV1GlBlgWRv5Hmo/U3ss8Ufy+hUDlVy3IpVMmbJlofv9CoHmP0+xnI533C/IDEDSXd3r0xSlWe9XeAyc8cZwGuC9lYCG4yUk6lWSUl2ZZ3gEctTt8xWlQQJki0mucwqcKFmFwIcXC4IaGf7NPwkk1zmG+T0KoFsiQa5SWR+5gRJVsBlHU81KMroJekg2ce5hNH8uDtXkLTpIuesnN5L4sCxmrtLS0O2zh2gGpc3z9Jms9kO5YrKAom7J9+pH6daEwCp1rkbSL6gKgYJBtOkEO9PqEKqPinkxiT1+6xszLV1bnN9GpOoKc7UnjjBHpPEjhesUcJBi1sqZlAwcTb8nEzSx5Bl5ZrHOznbIOpO7Fg6AWR3M0zB8f6MJZfdQbLiktXuZj6ajw+LYXk/rXOLdfy7VMvcdfRYukV3d6fmKRi03BVQ9d3vwwaSGABxBan0riwnmyUoTJSUEmesriwv80ggrfxLgSRYBBNfG5c2zbT6QZo7k000HSRXo3Or2oI9b53z425dWcp7xHyDzziXPmLscHf2DcGLrHrDj4sUbmEGkvxufyCVPr0qAjZbUBuIpLVEjPGKHo5eqiEXWKoLs4Nk/ZWEHSQRk7KDEdzauPjTDNFu4FpI5UPCwBaT7Cyyxxh5rRQCnEGcTWWApP7cRRMOkkG6IlRgSRA8YlzZP0h3wyT/IMnhE1F6dcwxcIls/6uKskCy/pRFMknLv4B0mN7twSWB40M6jbhs/Lw4djGAkaXtss6/X16Wo7jLzOfBafdjAePot1MC83IubQfMGLcFHgB0P2Ytv2uIHfsXj6xXhJJkwKznXPoBQOVn7PtZSbmvPctiY7wl2G6aCNQXegDQ/Zi1/K6xxZfdn70x0uv1spikHg8AKj9j389KPgLAKRoeAHQ/Zi2/a3wAcoqGBwCVn7HvZyVXCa2LhgcA3Y9Zy++aUnMcKRpiRi4PKr+ve7DSvVrAbxLKREOnEUuX3OuiD84vPwv8L+YNX/sKgQHCAAAAAElFTkSuQmCC",be="data:image/png;base64,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",tt="data:image/png;base64,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",bt="data:image/png;base64,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",he="data:image/png;base64,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",se="data:image/png;base64,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",xe="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/F09vMBST6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",Be="data:image/png;base64,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",N="data:image/png;base64,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",_e="data:image/png;base64,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",be="data:image/png;base64,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",tt="data:image/png;base64,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",bt="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=",he="data:image/png;base64,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",ce="data:image/png;base64,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",xe="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/F09vMBST6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${c.paddingInline}px`,color:c.colorText,fontWeight:"normal",fontSize:c.fontSize,textAlign:"center",backgroundColor:c.colorFillAlter,border:`${c.lineWidth}px ${c.lineType} ${c.colorBorder}`,borderRadius:c.borderRadius,transition:`all ${c.motionDurationSlow}`,lineHeight:1,[`${p}-select`]:{margin:`-${c.paddingBlock+1}px -${c.paddingInline}px`,[`&${p}-select-single:not(${p}-select-customize-input)`]:{[`${p}-select-selector`]:{backgroundColor:"inherit",border:`${c.lineWidth}px ${c.lineType} transparent`,boxShadow:"none"}},"&-open, &-focused":{[`${p}-select-selector`]:{color:c.colorPrimary}}},[`${p}-cascader-picker`]:{margin:`-9px -${c.paddingInline}px`,backgroundColor:"transparent",[`${p}-cascader-input`]:{textAlign:"start",border:0,boxShadow:"none"}}},"&-addon:first-child":{borderInlineEnd:0},"&-addon:last-child":{borderInlineStart:0}},[`${t}`]:{width:"100%",marginBottom:0,textAlign:"inherit","&:focus":{zIndex:1,borderInlineEndWidth:1},"&:hover":{zIndex:1,borderInlineEndWidth:1,[`${t}-search-with-button &`]:{zIndex:0}}},[`> ${t}:first-child, ${t}-group-addon:first-child`]:{borderStartEndRadius:0,borderEndEndRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}-affix-wrapper`]:{[`&:not(:first-child) ${t}`]:{borderStartStartRadius:0,borderEndStartRadius:0},[`&:not(:last-child) ${t}`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}:last-child, ${t}-group-addon:last-child`]:{borderStartStartRadius:0,borderEndStartRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`${t}-affix-wrapper`]:{"&:not(:last-child)":{borderStartEndRadius:0,borderEndEndRadius:0,[`${t}-search &`]:{borderStartStartRadius:c.borderRadius,borderEndStartRadius:c.borderRadius}},[`&:not(:first-child), ${t}-search &:not(:first-child)`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`&${t}-group-compact`]:Object.assign(Object.assign({display:"block"},(0,o.dF)()),{[`${t}-group-addon, ${t}-group-wrap, > ${t}`]:{"&:not(:first-child):not(:last-child)":{borderInlineEndWidth:c.lineWidth,"&:hover":{zIndex:1},"&:focus":{zIndex:1}}},"& > *":{display:"inline-block",float:"none",verticalAlign:"top",borderRadius:0},[`
         & > ${t}-affix-wrapper,
         & > ${t}-number-affix-wrapper,
         & > ${p}-picker-range
@@ -81,20 +81,20 @@
       & > ${p}-cascader-picker:last-child ${t},
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+    ${x}-submenu-rtl ${x}-vertical`]:{[`${x}-submenu-arrow`]:{"&::before":{transform:`rotate(-45deg) translateY(-${l})`},"&::after":{transform:`rotate(45deg) translateY(${l})`}}}}};const J=R=>Object.assign({},(0,ye.oN)(R));var Z=(R,x)=>{const{componentCls:l,itemColor:u,itemSelectedColor:w,groupTitleColor:P,itemBg:X,subMenuItemBg:W,itemSelectedBg:Pe,activeBarHeight:se,activeBarWidth:te,activeBarBorderWidth:de,motionDurationSlow:Ye,motionEaseInOut:Ge,motionEaseOut:$e,itemPaddingInline:ft,motionDurationMid:Qe,itemHoverColor:A,lineType:j,colorSplit:Me,itemDisabledColor:Xe,dangerItemColor:nt,dangerItemHoverColor:At,dangerItemSelectedColor:Je,dangerItemActiveBg:gt,dangerItemSelectedBg:Ht,itemHoverBg:tn,itemActiveBg:Bt,menuSubMenuBg:sn,horizontalItemSelectedColor:Sn,horizontalItemSelectedBg:on,horizontalItemBorderRadius:vn,horizontalItemHoverBg:dn,popupBg:ln}=R;return{[`${l}-${x}, ${l}-${x} > ${l}`]:{color:u,background:X,[`&${l}-root:focus-visible`]:Object.assign({},J(R)),[`${l}-item-group-title`]:{color:P},[`${l}-submenu-selected`]:{[`> ${l}-submenu-title`]:{color:w}},[`${l}-item-disabled, ${l}-submenu-disabled`]:{color:`${Xe} !important`},[`${l}-item:not(${l}-item-selected):not(${l}-submenu-selected)`]:{[`&:hover, > ${l}-submenu-title:hover`]:{color:A}},[`&:not(${l}-horizontal)`]:{[`${l}-item:not(${l}-item-selected)`]:{"&:hover":{backgroundColor:tn},"&:active":{backgroundColor:Bt}},[`${l}-submenu-title`]:{"&:hover":{backgroundColor:tn},"&:active":{backgroundColor:Bt}}},[`${l}-item-danger`]:{color:nt,[`&${l}-item:hover`]:{[`&:not(${l}-item-selected):not(${l}-submenu-selected)`]:{color:At}},[`&${l}-item:active`]:{background:gt}},[`${l}-item a`]:{"&, &:hover":{color:"inherit"}},[`${l}-item-selected`]:{color:w,[`&${l}-item-danger`]:{color:Je},"a, a:hover":{color:"inherit"}},[`& ${l}-item-selected`]:{backgroundColor:Pe,[`&${l}-item-danger`]:{backgroundColor:Ht}},[`${l}-item, ${l}-submenu-title`]:{[`&:not(${l}-item-disabled):focus-visible`]:Object.assign({},J(R))},[`&${l}-submenu > ${l}`]:{backgroundColor:sn},[`&${l}-popup > ${l}`]:{backgroundColor:ln},[`&${l}-horizontal`]:Object.assign(Object.assign({},x==="dark"?{borderBottom:0}:{}),{[`> ${l}-item, > ${l}-submenu`]:{top:de,marginTop:-de,marginBottom:0,borderRadius:vn,"&::after":{position:"absolute",insetInline:ft,bottom:0,borderBottom:`${se}px solid transparent`,transition:`border-color ${Ye} ${Ge}`,content:'""'},"&:hover, &-active, &-open":{background:dn,"&::after":{borderBottomWidth:se,borderBottomColor:Sn}},"&-selected":{color:Sn,backgroundColor:on,"&:hover":{backgroundColor:on},"&::after":{borderBottomWidth:se,borderBottomColor:Sn}}}}),[`&${l}-root`]:{[`&${l}-inline, &${l}-vertical`]:{borderInlineEnd:`${de}px ${j} ${Me}`}},[`&${l}-inline`]:{[`${l}-sub${l}-inline`]:{background:W},[`${l}-item, ${l}-submenu-title`]:de&&te?{width:`calc(100% + ${de}px)`}:{},[`${l}-item`]:{position:"relative","&::after":{position:"absolute",insetBlock:0,insetInlineEnd:0,borderInlineEnd:`${te}px solid ${w}`,transform:"scaleY(0.0001)",opacity:0,transition:[`transform ${Qe} ${$e}`,`opacity ${Qe} ${$e}`].join(","),content:'""'},[`&${l}-item-danger`]:{"&::after":{borderInlineEndColor:Je}}},[`${l}-selected, ${l}-item-selected`]:{"&::after":{transform:"scaleY(1)",opacity:1,transition:[`transform ${Qe} ${Ge}`,`opacity ${Qe} ${Ge}`].join(",")}}}}}};const Oe=R=>{const{componentCls:x,itemHeight:l,itemMarginInline:u,padding:w,menuArrowSize:P,marginXS:X,itemMarginBlock:W}=R,Pe=w+P+X;return{[`${x}-item`]:{position:"relative",overflow:"hidden"},[`${x}-item, ${x}-submenu-title`]:{height:l,lineHeight:`${l}px`,paddingInline:w,overflow:"hidden",textOverflow:"ellipsis",marginInline:u,marginBlock:W,width:`calc(100% - ${u*2}px)`},[`> ${x}-item,
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+            ${x}-submenu-title`]:{paddingInlineEnd:Pe}}};var Ce=R=>{const{componentCls:x,iconCls:l,itemHeight:u,colorTextLightSolid:w,dropdownWidth:P,controlHeightLG:X,motionDurationMid:W,motionEaseOut:Pe,paddingXL:se,itemMarginInline:te,fontSizeLG:de,motionDurationSlow:Ye,paddingXS:Ge,boxShadowSecondary:$e,collapsedWidth:ft,collapsedIconSize:Qe}=R,A={height:u,lineHeight:`${u}px`,listStylePosition:"inside",listStyleType:"disc"};return[{[x]:{"&-inline, &-vertical":Object.assign({[`&${x}-root`]:{boxShadow:"none"}},Oe(R))},[`${x}-submenu-popup`]:{[`${x}-vertical`]:Object.assign(Object.assign({},Oe(R)),{boxShadow:$e})}},{[`${x}-submenu-popup ${x}-vertical${x}-sub`]:{minWidth:P,maxHeight:`calc(100vh - ${X*2.5}px)`,padding:"0",overflow:"hidden",borderInlineEnd:0,"&:not([class*='-active'])":{overflowX:"hidden",overflowY:"auto"}}},{[`${x}-inline`]:{width:"100%",[`&${x}-root`]:{[`${x}-item, ${x}-submenu-title`]:{display:"flex",alignItems:"center",transition:[`border-color ${Ye}`,`background ${Ye}`,`padding ${W} ${Pe}`].join(","),[`> ${x}-title-content`]:{flex:"auto",minWidth:0,overflow:"hidden",textOverflow:"ellipsis"},"> *":{flex:"none"}}},[`${x}-sub${x}-inline`]:{padding:0,border:0,borderRadius:0,boxShadow:"none",[`& > ${x}-submenu > ${x}-submenu-title`]:A,[`& ${x}-item-group-title`]:{paddingInlineStart:se}},[`${x}-item`]:A}},{[`${x}-inline-collapsed`]:{width:ft,[`&${x}-root`]:{[`${x}-item, ${x}-submenu ${x}-submenu-title`]:{[`> ${x}-inline-collapsed-noicon`]:{fontSize:de,textAlign:"center"}}},[`> ${x}-item,
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             ${x}-submenu-expand-icon
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${l}`].join(",")}},[`${x}-item-icon`]:Object.assign({},(0,ye.Ro)()),[`&${x}-item-only-child`]:{[`> ${X}, > ${x}-item-icon`]:{marginInlineEnd:0}}},[`${x}-item-disabled, ${x}-submenu-disabled`]:{background:"none !important",cursor:"not-allowed","&::after":{borderColor:"transparent !important"},a:{color:"inherit !important"},[`> ${x}-submenu-title`]:{color:"inherit !important",cursor:"not-allowed"}}}},rt=R=>{const{componentCls:x,motionDurationSlow:l,motionEaseInOut:u,borderRadius:w,menuArrowSize:P,menuArrowOffset:X}=R;return{[`${x}-submenu`]:{"&-expand-icon, &-arrow":{position:"absolute",top:"50%",insetInlineEnd:R.margin,width:P,color:"currentcolor",transform:"translateY(-50%)",transition:`transform ${l} ${u}, opacity ${l}`},"&-arrow":{"&::before, &::after":{position:"absolute",width:P*.6,height:P*.15,backgroundColor:"currentcolor",borderRadius:w,transition:[`background ${l} ${u}`,`transform ${l} ${u}`,`top ${l} ${u}`,`color ${l} ${u}`].join(","),content:'""'},"&::before":{transform:`rotate(45deg) translateY(-${X})`},"&::after":{transform:`rotate(-45deg) translateY(${X})`}}}}},vt=R=>{const{antCls:x,componentCls:l,fontSize:u,motionDurationSlow:w,motionDurationMid:P,motionEaseInOut:X,paddingXS:W,padding:Pe,colorSplit:ce,lineWidth:te,zIndexPopup:de,borderRadiusLG:Ye,subMenuItemBorderRadius:Ge,menuArrowSize:$e,menuArrowOffset:ft,lineType:Qe,menuPanelMaskInset:A,groupTitleLineHeight:j,groupTitleFontSize:Me}=R;return[{"":{[`${l}`]:Object.assign(Object.assign({},(0,ye.dF)()),{"&-hidden":{display:"none"}})},[`${l}-submenu-hidden`]:{display:"none"}},{[l]:Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},(0,ye.Wf)(R)),(0,ye.dF)()),{marginBottom:0,paddingInlineStart:0,fontSize:u,lineHeight:0,listStyle:"none",outline:"none",transition:`width ${w} cubic-bezier(0.2, 0, 0, 1) 0s`,"ul, 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a`]:{"&::before":{position:"absolute",inset:0,backgroundColor:"transparent",content:'""'}},[`${l}-item-divider`]:{overflow:"hidden",lineHeight:0,borderColor:ce,borderStyle:Qe,borderWidth:0,borderTopWidth:te,marginBlock:te,padding:0,"&-dashed":{borderStyle:"dashed"}}}),Ie(R)),{[`${l}-item-group`]:{[`${l}-item-group-list`]:{margin:0,padding:0,[`${l}-item, ${l}-submenu-title`]:{paddingInline:`${u*2}px ${Pe}px`}}},"&-submenu":{"&-popup":{position:"absolute",zIndex:de,borderRadius:Ye,boxShadow:"none",transformOrigin:"0 0",[`&${l}-submenu`]:{background:"transparent"},"&::before":{position:"absolute",inset:`${A}px 0 0`,zIndex:-1,width:"100%",height:"100%",opacity:0,content:'""'}},"&-placement-rightTop::before":{top:0,insetInlineStart:A},"\n          &-placement-leftTop,\n          &-placement-bottomRight,\n          ":{transformOrigin:"100% 0"},"\n          &-placement-leftBottom,\n          &-placement-topRight,\n          ":{transformOrigin:"100% 100%"},"\n          &-placement-rightBottom,\n          &-placement-topLeft,\n          ":{transformOrigin:"0 100%"},"\n          &-placement-bottomLeft,\n          &-placement-rightTop,\n          ":{transformOrigin:"0 0"},"\n          &-placement-leftTop,\n          &-placement-leftBottom\n          ":{paddingInlineEnd:R.paddingXS},"\n          &-placement-rightTop,\n          &-placement-rightBottom\n          ":{paddingInlineStart:R.paddingXS},"\n          &-placement-topRight,\n          &-placement-topLeft\n          ":{paddingBottom:R.paddingXS},"\n          &-placement-bottomRight,\n          &-placement-bottomLeft\n          ":{paddingTop:R.paddingXS},[`> ${l}`]:Object.assign(Object.assign(Object.assign({borderRadius:Ye},Ie(R)),rt(R)),{[`${l}-item, ${l}-submenu > ${l}-submenu-title`]:{borderRadius:Ge},[`${l}-submenu-title::after`]:{transition:`transform ${w} ${X}`}})}}),rt(R)),{[`&-inline-collapsed ${l}-submenu-arrow,
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qe=(R,x)=>(0,et.Z)("Menu",u=>{if(x===!1)return[];const{colorBgElevated:w,colorPrimary:P,colorTextLightSolid:X,controlHeightLG:W,fontSize:Pe,darkItemColor:ce,darkDangerItemColor:te,darkItemBg:de,darkSubMenuItemBg:Ye,darkItemSelectedColor:Ge,darkItemSelectedBg:$e,darkDangerItemSelectedBg:ft,darkItemHoverBg:Qe,darkGroupTitleColor:A,darkItemHoverColor:j,darkItemDisabledColor:Me,darkDangerItemHoverColor:Xe,darkDangerItemSelectedColor:nt,darkDangerItemActiveBg:At}=u,Je=Pe/7*5,gt=(0,Re.TS)(u,{menuArrowSize:Je,menuHorizontalHeight:W*1.15,menuArrowOffset:`${Je*.25}px`,menuPanelMaskInset:-7,menuSubMenuBg:w}),Ht=(0,Re.TS)(gt,{itemColor:ce,itemHoverColor:j,groupTitleColor:A,itemSelectedColor:Ge,itemBg:de,popupBg:de,subMenuItemBg:Ye,itemActiveBg:"transparent",itemSelectedBg:$e,activeBarHeight:0,activeBarBorderWidth:0,itemHoverBg:Qe,itemDisabledColor:Me,dangerItemColor:te,dangerItemHoverColor:Xe,dangerItemSelectedColor:nt,dangerItemActiveBg:At,dangerItemSelectedBg:ft,menuSubMenuBg:Ye,horizontalItemSelectedColor:X,horizontalItemSelectedBg:P});return[vt(gt),Ee(gt),Ce(gt),Z(gt,"light"),Z(Ht,"dark"),le(gt),(0,Ue.Z)(gt),(0,Ke.oN)(gt,"slide-up"),(0,Ke.oN)(gt,"slide-down"),(0,Ze._y)(gt,"zoom-big")]},u=>{const{colorPrimary:w,colorError:P,colorTextDisabled:X,colorErrorBg:W,colorText:Pe,colorTextDescription:ce,colorBgContainer:te,colorFillAlter:de,colorFillContent:Ye,lineWidth:Ge,lineWidthBold:$e,controlItemBgActive:ft,colorBgTextHover:Qe,controlHeightLG:A,lineHeight:j,colorBgElevated:Me,marginXXS:Xe,padding:nt,fontSize:At,controlHeightSM:Je,fontSizeLG:gt,colorTextLightSolid:Ht,colorErrorHover:tn}=u,Bt=new 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DZo7q6+zSmtFGntN6GcwOECwM5gOw+fd6lNW31QG6lADLytTHhwkAOILt0N3cv5XZWe6gXZNqhEGEgB5B2jOfw2LLAvmad3bX2pu1QYSAHkLZM7TDZsYD4NDn2YpJeccHCQA4g7Vja4bFtgeJ6D5WNNqdtcXD8TgM5gLRtaofRjgWa3LC9yl5M0jtK+p0GcgBpx8oOT1QWyKt209Aa2ds2hbpczM7Iwrvr4AAyKlM7zHYsEKVz0+5uIAeQdizs8Ni2gIyL8icxSbeNnZv9go0wkANI26Z2GKOxwJ56D+VRODdmGMgBZDRWdnhtW6C6WWeX/Zjk/jDQ/wHkSLPJ/mcrgQAAAABJRU5ErkJggg=="},57177:function(fn){fn.exports="data:image/png;base64,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diff --git a/p__Declaration__Research__TeachBook__Edit__index.310fd009.async.js b/p__Declaration__Research__TeachBook__Edit__index.3fece94c.async.js
similarity index 84%
rename from p__Declaration__Research__TeachBook__Edit__index.310fd009.async.js
rename to p__Declaration__Research__TeachBook__Edit__index.3fece94c.async.js
index 34184409f8..9237cd2d6c 100644
--- a/p__Declaration__Research__TeachBook__Edit__index.310fd009.async.js
+++ b/p__Declaration__Research__TeachBook__Edit__index.3fece94c.async.js
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",Ne="data:image/png;base64,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",B="data:image/png;base64,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",tt="data:image/png;base64,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",he="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAFNBJREFUeF7tW2d4VVXWfs9NJUAMgQQCIzUhdARGQ2/SizAOAUTsNEF4BHVGBPxE2ki3jA6oKCpNNEpJjBQlCoSSUEIgECRAQnoICenlnvM9e+29T7m5CQ7wfN8friW59+y97znr3e9a71prR7kdv1lTFAVQFCiKjf9k/7DPwN7Ka/RGfO74k4/TAGiKAhvNBDSbWEOjqXTtTi+bylYR89mK/F9A0/Sf7BNNo2/jn9OvfB77nP6Tc9nnmgpNU+m6yn6yoaoGdseaKtcSY+R88ZOtq9DX8Hl8ffa7/F6VP7dpPL8fth6/R3mNPT19ZrpX8XTG8wHpNqiHFMXlH38ZsfiGkn/uSwKIA2EzAJEgsY9hBYk+ofHsXz6H3QrHQ4HqDCRp9TuApAiDkLHFA0lYueElGAZI7HNuRPmZ4+/MoNJgVmMqAiC+rp2ML41oNjq7Lw4Qv24eIzdPzSDxuTWCRGByQ9mg5SqKrbOSxwAig7NdzhjEDc7teGcm0XjJNNPP/xuQpDEFnCaQ+O4VO1YyTux+yzXGJBNrABWaylgh2WmAIcdx9lhB0lnuDLy7YBLZFOo2JS9uk3BxzNBWJllAItfHacIZJdyfZJcDmBZ3Z3JvupO7b0wymEHbr0YmGe7OzDZydzr7uAurlknkgvlOd8YmC/iOYJk2itg9JjcofYbhzm1AupJ3dpNGcYMMxgEyuzsrSMLdOQGJxywr42oGiYNc08vs7iiCMFfGn0xiQa6rKlPEQzrEJX2cCQBpUAaSsLpYX4CkA1Izkywur0pMMtiox09xbyq5ZwN0xmAyDLtHZs9bZz7XRQIngzMmmQSDdGP/DyAZ8UeICD0m8YfixuaMssYkueNNhnBkCVcQOkjcxd0DSOLeqsQqk7uziAWnwkGFknfqM42iu67WHBSaHpMMkKTCM9ydEbOcqcB7dnekuIwX7TqnTGIgCYUl5Z+u6syskmwwAr6urpjidIxJumqzxh5nMelPM0lXmqZYWQUkRQDEo3wNIHEJbpHeXLQiPfEsfP/SCrW8fXVh4QhS8rloePs3wUMBzbkEv5uYZAKJyK+rcY02PseLMcmQ3apaCUVxEZLYUXqzkVIuy7gjGeQAEjGJKTyrlOcS3EEsVHkvXbLJzVninVV5Wt2dBiU3dqNJZjsBScQkQ2rzLIeBVVFWjLDFL6L3s6/j4fYhIk/SYK+osORLPy6fjqAew9Bu4JM0hq2g2GxQ3Nz5WvL/CpCReBaZV+KdhiYDFIIBDVt1REBgRwLFAIkb8cqJg0j4bRf6v7QAXt71CSS1sgKnf/pGJlYixxLoSncJDR51fRDcY4Th7kgRVKKkIA8FNzNwK/UqcpITkZeZgoFT3kbWlXjkJF+WfldyW09xavs2RPPOvatKcwegdI1tiklKbsx/NM4OnqQKzawnpUaiaoiAa7FR8H04ELV9GiDs3RfR55nX4dO4GQ5ueAf9XpiPn9a9XnP0B9Dir/3R++l5ejIrgTod/jXi9+9E3foNa1yj4GYmOg2diM5Dn9LdH3N9QjGg4GYaojatQEVZCfpPXQSfBk1QWV6KHQsno37TQHh4edPQ7GsJ8PCqC2//xmSfwpwM2NzcMGjGEjIw29Exuz5DyoWTsFeU0xwXV1fUa9wCvk1aoXnXvrgcHYmU+OPwaxpsgMOJg1sZ11G3fiM8OmaqsSGc5lGcScRImsvjpXLz5Mc6QFK9SRckFZ2u0CgTVRC9bT38W7RD86798MOSl9Br8jy6scTDERg47W0U5eda8qh9H85Hi279ENRrOKlF9tWunl7wquNTxd2dCf8KiUd+xvgVW6sFiCWX2+ZPQLt+Y9Bp2CSTumNx3gCpsqwEh75YgVupSRgwZSF8Gj6M7QueRv+X3kKjoEdo3r6P3oR/y/b6OvEHv0NqQgwGvbyUr6sBNy6cQHH+TXj5NEDs7k1o3XM4gkIGi72gIW7fduRcu4QBLy0EJb6m6kHM7k2wV5ZzgGpQd+aqgxkk5eaJjzVewmGkcbEwiclvC0ji/aUj4bideQNdR72gA5SXdg2VFaXoMup5pMafwM3UJAEScOlwBMUp/xZtCRwGc4fB4+Hi7lklJjGALt8BIPag2/85ngB6ZNgk2Fl6JoHRk1OepNorSnDi+43oNGQi3GvXwY63nkbHwaHwbdySDHlqz2b4BDRDi679aHzyuSP0bINmLtNdErlWsev3rJmDoB5D0TpkiJ4Hxe3fjpyrDKBFhlQX40/u+ZyY99jYac4rHaL0Y+RlViYpOcc/0lg84DmMFSRNiAczSOz3nOuJOLX3Cwyc+g5+XDoVvZ6ei6sxh9CsS280e6Q3+X/mOkQtCClxx+Dt15gMIV/dx82AzcNL1P5ELU8BdICWb60xT2IAte03Bl2GTeKlNfZtQt2Z5TivwfGHtpeXYftbk+BZxxsurjz+lRTegouLO9xqedH7itJict2DZy23VAukbN+zejZa9xyGoJAhAjQVcfu2ITMpAT0nzuEMMhk97sAOev/Y36YbYsWs1pyIDHm/9DwMIMciqGNMcmSSWlmOmB8/R5cxL2D30ukEUEVJMRoFdYSXj58ex6Rr/HHJFLTuPQIdHh/HGUoBh1cmKM2UtTsFOB3xNS5G7UWvyXNrBOjw5jVoP+hJPDJ0Eq9v8QwIankZbqVd1eMtW75B00AaUckAmj8JA6YuREBgZ7qNyA/+iYat2qPz8KdpTvyBnUi9cAJDXlmhA/T7VytRdDOTxhfm5cDD0wtunl70nY9PfRvMLSbFRlXrkv2atUHIk9Or1vhMxVNr/c9IvpXsYx/yRFUoK6OaYBUOZpByU68AqkoPfPjr1egwOBT+zdvB3asOKafrpw9Xe7PmC6Pf/Ag+/g/rILG7OBPBRcKfeXUa/hQZlu1aCdKtrBTsWT7TMn3yqu8Bm41Ewvb5T6H7+Fnwa9mWEtPfNq+EX7PWaNPvCR5Hj/yErKQLGDJ7hb7jmQgoKbyN8uIC8hR+LdrCt0lLAr1t71EoK76N0qICQwRQwkupM4Hi4uYBr4d8q9bvzLJd5aDw5FhUzxkmWdEfWGS2Xuohl2cGSQFzeex6+KrZKC8urGLDRkGd0G3MFJSXFOrVbskUThRRFWeRRwEeatgUru7M1bC1xSaxV8JOUUUQTTDMGWA2mysUF1cyhoxB9soK5OdmUHBPOXsUpyO+AQOIjassL8G2NyfeEXufgKYY8sp7nN+mpPXSkQic+3k7gnsOQ4dBE3QXx3Ik8zgKWaoKmyl28RhjKks5Flxle8RSWlKhZB59XwfILKmN2poBkoxJbCcyc6YlxCB21yZ0HfMCmnbsAcXmAjcPL6RfPoPsKxd0kSBjEdlaGPyR4ZOhuLqJ9/yKDpIERZQP5JyaLMsA4Ume4e6Sjh/A0W0fYPLq76HYXGlnlhXlmXpJwIEN75B46TAoVDey4sKfQy8dCaNFrn+D8iDFpqD7uJlo3KYbyevYPV+IW5MKsuqdNu/cC+36/a1akMw1QTOQSuaR9XoMMgqlpqKp6PfIPImMKJgUtWkpclOuwLOuDx6fsRheD9WneHIuchuSTv6CgLZddUDkLRfmZpEknbBiK1zdatH4/PRrCF/3mlP7e9cPwOgFn6C8KB87Fz1XLUaj53N3ydydBOny8f2I3vYBnlkdBmb0suIi3e1IWXvgk7fh17IdOg2ZQM07msuCs2KDi7uH3kfKTIrH+QPfoSAnHQHBXZCWEIseobNQy8cPN5MT9QLr7Zx0JB6NRHDvEajN4rGQ6rV9/eHTsKnu5mQ7w9q64NUNngLxBqGSdXi9pon6izNJzZnEWSQZxkDKTbuC2LCNKLqVjWade1JWPWDqItp5cZHbkfHHWQybs4oeWM5jaF0//Tuit3+ICcu3kMxmdYW89OsIX/Mq2g0YS2pPVm5S4o6iICcDYxZ9ijIG0FuTEdRzKOo3DdKBYnMvRu3BEws/wUMMIPZ9wtAMIM6gMGiqHVv+EXpH9yYHMDc3bM5KIdXLsO/fC9B19POI3vY+WvcZCZvNBecPhmHIzCXwqltfNBftyLp6AYe3rEPf595AvYAWJqlulKB0d0ehytp3MtcEqcGX9fs6YpBKYcF53uMIkqraEbV5BZVvTn7/H3SfMBsp547BXlGKXpNfR/z+b5EYHYladX2ssQQKBeqy4kKMX7YFrmyHKgry0pIRsXYuhsxahoatOtAclUnu3V+C1fHMAPV9/g0069pPXzftYiwOfvw/OkCSPiwm/XF8P44wgNaEwabYkJp4Rs/QMxLP0drsVbueP7KvJuDRv09DLZY8s0Ta3RP1m7am30+Hf4X8zGT0fe5N7Fo+HcF9RqF1r+GIP/g92vcfi4riIoo5zNzZyZdwbOcn6DlxNnwaGYxx96zNXbCpbV5tYVXEMGJf5m9r9XYDM4pjziMluAGSgviDO3E7Jw2P/v1lhK98BSETXqGyx6+fLsagGYtxOfpnpF6IwaNPzjB1Z3mcyfgjDud/CcP4Zd+QEdiLsSBi7WsEkF/L9rrsjt3zJVLORWPsgo0oLblNDOrDAOrSVy/cOgVI+LikY/sIoGfW/IDiwnx4efvS95UX3caeVXMQEjoTcZFb0TCwI+30W+nXMHAqSzZFJ1YDbmelImL9PCr91GvSEruWTRMAjdDdYfiqOSgtzK+WnS6ubhj52nrh7v4cSBI8JfO3NcQgHtENpVadu8vPTEXUl8sw4MW3UateA1J0IeNnoXHbv9KDs3gUv28HUs4fR6ehTxlNQHH72dcvEYChS78WALEYdB0R617DkJlL4d+qPTWqWEno1B7BoAUbae1vF5oA4r4T1QLECqbH9uPo1vcxat5aHPj0XTwx/yN41qqLqC/+BXtlJfpPWYif1s5Do8CO6DB4HHa/NxvBfUaiXf+xoiIAqgKc3PU5HqM8RsWPS6chuO9IBPcaqbsvBixTj0yosELqmcgt6DryWdT1CxCMVShJ143uhEnVsUnJiFot8iB5MIS7O+YSLO0FcepHtVcgIWo3Og4aj8qyUuxdM4cACmjTDTaqSADn9+/AlZMH4dO4uV6r5vgoFEsKstMRuoQBJFxc+nUqsDJ/zhjE4h2LQ2f2bkZyXDSeWMgB2mkCiK8GpF06VdXFic0gAWJVgoDATug+fiaOffsxMpPOY8TcNajj2xAR6+ahUauO6DL6WaRePEXg8RrfRHFqBVDtlXRWg71+WDqFGNSmNwfIKNHwclDOlfOI+noV+r/wFnybsBhklepWkIz51QKUdmiVxnarHsjZY9sEk6qNSbzzWlFaivC1ryIkdBYC2nbjECgKzu//Fkz1DJ65zDgpJNZKPnMYx3b+G6HvfsVFggLkZSQTQKwA61G7rsQSeenJ9NBjF2xASXEBvls4GQ2aBqGWT33dnZQW5CH76kVrDBJXf9+8Etdif0P7gU8i6LHH8eumFVS4ZG7Y268JjQpfOxeNAjuhyyimEFXcuBBDyWuTtt2odMNKQuYjXAygNn1HI7j3KGj2SpSVFOkgsF2Vc/0Sond8iF6T5sI3oLnRR9I0KifxJNTo3MojXTrQDqArqb+uJAZJkOTulV1WI7k04pOMS4xB7AFDxs3kAAmgJUCsIizleUl+DrKvXcTlo5Gk/MYu+Aw2F97iyGcArWcAtYVHHd4GYPxgsYk90ZgFG1DGGLToGQKIVZUpJwNQdjsPWVcTnAKU8OsPVJIJ7DGU+kwxYZ9i8IzF8PTmWT1bQgdo9PPCHanEpNN7v8KgmUvg7lGb50cikQxb8hIB1KbPE8jPTkHkujeqjT2OF0bNWwdXD0+HGl/V41xmNilpv7xHh0bMIIlEhx90M1W0JUMkaPZyBtA8hIx7mZI2niMpSPg1DFlJ5zFg2juivWRDaWEeDn22hNoMrNDY8tGBOuOK8rKpjM+SVyZvZbnpSswvuHntEh4LnQXWOji8ZQ3aDxwH/5bteGnHpiD3xh84G7GV3JdXPb8ajaVVlMPFxY0Hd5Hv7PtoPhq16kDtBqPIqkK126mpyI0ldj007F39Klr3GIrA7kNJkfKisNnI4hZMvR2Z8Po1C+bu26GKYHRleYnHAlDqL+8Rg6gNYALqz4Kkqzt2iIR9ucldciDFulTekTLe6MpK0GXLw7Fwy6/zmCR7SfQdIgbJ06syJpnKF87B0jRegjGBJM87kOHogii98jc6SDKp5EOsByf5NfOhRlHZsLgs3ja3nlLl7o5LcGtMIpanHvyXXkmQIFlikpOzCrL0YpSG5GFH3rYgozn2koSh+eeOAoTnYHQIRT++JUxuOorsCNLdnm9ghpAgWY9zCcP/tyCZThc5npUz95I4M6jmXgWM6s43KDcOrDCdzWZM4n0hAyRe2JRS3CimVo1J8mSqLturgGSIEWeHUAgcAolZiIF4Z5DkEMkc8/mGmv2dGSSe5etnyh3aztYip9G8k2zTXZJ+VMt8+seRSeZjyLJybWrSibqfYFM6AWR1M7xoSVwwHWJ0BpIhwzmIfLyLUG7isLwzkETrnI83uTt5WtXp0WM5zrm745uCQ0LsYG5b+q7qkPqvmCTijMNxLou7oyEOlW3huqxMMkAyg08uzdTAg4ZtSsr+5UY/yOTOZBPNDBK7LIWAnshyZEx/BcFBMup2ojlnERsKVYS5GHCSb5GVq7o764ao2vCThVwJkqy+18Sk6k+vioBNBzRkTDLOOzCcVNHDkZVog0nVuTAT++RfXDi0IUx5Uq4nPDsryfuWiXYDdydGYZMb3mCS1dVZY4ycK4UAd0+cTWInV8ckPcaYmSTcnP7nLqLgavqrCuaQ+HFla1fWEaQ/w6SaQTIq3PLUqmQNT2rMgsHIcaqPM6IZJ5ty5hOuXLikQ1MPedrd/+HVfeoN5eiGFzcAmFbdLus5fdOdHEWNrv7BxXuzgHL+23fc82+lHAK0Hs6WegDQvRn4XmcTO2I2TAsohz0W0AIcF3wA0L2a+N7m6+7r+Ocv9lDtOKRp4OeRxOsBQPdm4HudbYkvxz6dMk1VVRaTHgB0r5a9T/OrCABH0fCAQffJ0ne5TBWAHEXDA4Du0rL3aZpTCW0WDQ8Auk+Wvstlqs1xpGjoMW2Tx12u/WDafbBAjUkoEw3dp3628T58z4Ml7tIC/wuyLDr7JEtoSQAAAABJRU5ErkJggg==",se="data:image/png;base64,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",ye="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/F09vMBST6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",Ne="data:image/png;base64,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",B="data:image/png;base64,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",tt="data:image/png;base64,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",he="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,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",ce="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",ye="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/F09vMBST6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${c.paddingInline}px`,color:c.colorText,fontWeight:"normal",fontSize:c.fontSize,textAlign:"center",backgroundColor:c.colorFillAlter,border:`${c.lineWidth}px ${c.lineType} ${c.colorBorder}`,borderRadius:c.borderRadius,transition:`all ${c.motionDurationSlow}`,lineHeight:1,[`${p}-select`]:{margin:`-${c.paddingBlock+1}px -${c.paddingInline}px`,[`&${p}-select-single:not(${p}-select-customize-input)`]:{[`${p}-select-selector`]:{backgroundColor:"inherit",border:`${c.lineWidth}px ${c.lineType} transparent`,boxShadow:"none"}},"&-open, &-focused":{[`${p}-select-selector`]:{color:c.colorPrimary}}},[`${p}-cascader-picker`]:{margin:`-9px -${c.paddingInline}px`,backgroundColor:"transparent",[`${p}-cascader-input`]:{textAlign:"start",border:0,boxShadow:"none"}}},"&-addon:first-child":{borderInlineEnd:0},"&-addon:last-child":{borderInlineStart:0}},[`${t}`]:{width:"100%",marginBottom:0,textAlign:"inherit","&:focus":{zIndex:1,borderInlineEndWidth:1},"&:hover":{zIndex:1,borderInlineEndWidth:1,[`${t}-search-with-button &`]:{zIndex:0}}},[`> ${t}:first-child, ${t}-group-addon:first-child`]:{borderStartEndRadius:0,borderEndEndRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}-affix-wrapper`]:{[`&:not(:first-child) ${t}`]:{borderStartStartRadius:0,borderEndStartRadius:0},[`&:not(:last-child) ${t}`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}:last-child, ${t}-group-addon:last-child`]:{borderStartStartRadius:0,borderEndStartRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`${t}-affix-wrapper`]:{"&:not(:last-child)":{borderStartEndRadius:0,borderEndEndRadius:0,[`${t}-search &`]:{borderStartStartRadius:c.borderRadius,borderEndStartRadius:c.borderRadius}},[`&:not(:first-child), ${t}-search &:not(:first-child)`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`&${t}-group-compact`]:Object.assign(Object.assign({display:"block"},(0,o.dF)()),{[`${t}-group-addon, ${t}-group-wrap, > ${t}`]:{"&:not(:first-child):not(:last-child)":{borderInlineEndWidth:c.lineWidth,"&:hover":{zIndex:1},"&:focus":{zIndex:1}}},"& > *":{display:"inline-block",float:"none",verticalAlign:"top",borderRadius:0},[`
         & > ${t}-affix-wrapper,
         & > ${t}-number-affix-wrapper,
         & > ${p}-picker-range
@@ -81,20 +81,20 @@
       & > ${p}-cascader-picker:last-child ${t},
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+    ${x}-submenu-rtl ${x}-vertical`]:{[`${x}-submenu-arrow`]:{"&::before":{transform:`rotate(-45deg) translateY(-${l})`},"&::after":{transform:`rotate(45deg) translateY(${l})`}}}}};const J=R=>Object.assign({},(0,Se.oN)(R));var Z=(R,x)=>{const{componentCls:l,itemColor:u,itemSelectedColor:w,groupTitleColor:P,itemBg:X,subMenuItemBg:W,itemSelectedBg:Pe,activeBarHeight:se,activeBarWidth:te,activeBarBorderWidth:ue,motionDurationSlow:Ye,motionEaseInOut:Ge,motionEaseOut:$e,itemPaddingInline:ft,motionDurationMid:Qe,itemHoverColor:A,lineType:j,colorSplit:Me,itemDisabledColor:Xe,dangerItemColor:nt,dangerItemHoverColor:At,dangerItemSelectedColor:Je,dangerItemActiveBg:gt,dangerItemSelectedBg:Ht,itemHoverBg:tn,itemActiveBg:Nt,menuSubMenuBg:sn,horizontalItemSelectedColor:Sn,horizontalItemSelectedBg:on,horizontalItemBorderRadius:vn,horizontalItemHoverBg:dn,popupBg:ln}=R;return{[`${l}-${x}, ${l}-${x} > ${l}`]:{color:u,background:X,[`&${l}-root:focus-visible`]:Object.assign({},J(R)),[`${l}-item-group-title`]:{color:P},[`${l}-submenu-selected`]:{[`> ${l}-submenu-title`]:{color:w}},[`${l}-item-disabled, ${l}-submenu-disabled`]:{color:`${Xe} !important`},[`${l}-item:not(${l}-item-selected):not(${l}-submenu-selected)`]:{[`&:hover, > ${l}-submenu-title:hover`]:{color:A}},[`&:not(${l}-horizontal)`]:{[`${l}-item:not(${l}-item-selected)`]:{"&:hover":{backgroundColor:tn},"&:active":{backgroundColor:Nt}},[`${l}-submenu-title`]:{"&:hover":{backgroundColor:tn},"&:active":{backgroundColor:Nt}}},[`${l}-item-danger`]:{color:nt,[`&${l}-item:hover`]:{[`&:not(${l}-item-selected):not(${l}-submenu-selected)`]:{color:At}},[`&${l}-item:active`]:{background:gt}},[`${l}-item a`]:{"&, &:hover":{color:"inherit"}},[`${l}-item-selected`]:{color:w,[`&${l}-item-danger`]:{color:Je},"a, a:hover":{color:"inherit"}},[`& ${l}-item-selected`]:{backgroundColor:Pe,[`&${l}-item-danger`]:{backgroundColor:Ht}},[`${l}-item, ${l}-submenu-title`]:{[`&:not(${l}-item-disabled):focus-visible`]:Object.assign({},J(R))},[`&${l}-submenu > ${l}`]:{backgroundColor:sn},[`&${l}-popup > ${l}`]:{backgroundColor:ln},[`&${l}-horizontal`]:Object.assign(Object.assign({},x==="dark"?{borderBottom:0}:{}),{[`> ${l}-item, > ${l}-submenu`]:{top:ue,marginTop:-ue,marginBottom:0,borderRadius:vn,"&::after":{position:"absolute",insetInline:ft,bottom:0,borderBottom:`${se}px solid transparent`,transition:`border-color ${Ye} ${Ge}`,content:'""'},"&:hover, &-active, &-open":{background:dn,"&::after":{borderBottomWidth:se,borderBottomColor:Sn}},"&-selected":{color:Sn,backgroundColor:on,"&:hover":{backgroundColor:on},"&::after":{borderBottomWidth:se,borderBottomColor:Sn}}}}),[`&${l}-root`]:{[`&${l}-inline, &${l}-vertical`]:{borderInlineEnd:`${ue}px ${j} ${Me}`}},[`&${l}-inline`]:{[`${l}-sub${l}-inline`]:{background:W},[`${l}-item, ${l}-submenu-title`]:ue&&te?{width:`calc(100% + ${ue}px)`}:{},[`${l}-item`]:{position:"relative","&::after":{position:"absolute",insetBlock:0,insetInlineEnd:0,borderInlineEnd:`${te}px solid ${w}`,transform:"scaleY(0.0001)",opacity:0,transition:[`transform ${Qe} ${$e}`,`opacity ${Qe} ${$e}`].join(","),content:'""'},[`&${l}-item-danger`]:{"&::after":{borderInlineEndColor:Je}}},[`${l}-selected, ${l}-item-selected`]:{"&::after":{transform:"scaleY(1)",opacity:1,transition:[`transform ${Qe} ${Ge}`,`opacity ${Qe} ${Ge}`].join(",")}}}}}};const Oe=R=>{const{componentCls:x,itemHeight:l,itemMarginInline:u,padding:w,menuArrowSize:P,marginXS:X,itemMarginBlock:W}=R,Pe=w+P+X;return{[`${x}-item`]:{position:"relative",overflow:"hidden"},[`${x}-item, ${x}-submenu-title`]:{height:l,lineHeight:`${l}px`,paddingInline:w,overflow:"hidden",textOverflow:"ellipsis",marginInline:u,marginBlock:W,width:`calc(100% - ${u*2}px)`},[`> ${x}-item,
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+            ${x}-submenu-title`]:{paddingInlineEnd:Pe}}};var be=R=>{const{componentCls:x,iconCls:l,itemHeight:u,colorTextLightSolid:w,dropdownWidth:P,controlHeightLG:X,motionDurationMid:W,motionEaseOut:Pe,paddingXL:se,itemMarginInline:te,fontSizeLG:ue,motionDurationSlow:Ye,paddingXS:Ge,boxShadowSecondary:$e,collapsedWidth:ft,collapsedIconSize:Qe}=R,A={height:u,lineHeight:`${u}px`,listStylePosition:"inside",listStyleType:"disc"};return[{[x]:{"&-inline, &-vertical":Object.assign({[`&${x}-root`]:{boxShadow:"none"}},Oe(R))},[`${x}-submenu-popup`]:{[`${x}-vertical`]:Object.assign(Object.assign({},Oe(R)),{boxShadow:$e})}},{[`${x}-submenu-popup ${x}-vertical${x}-sub`]:{minWidth:P,maxHeight:`calc(100vh - ${X*2.5}px)`,padding:"0",overflow:"hidden",borderInlineEnd:0,"&:not([class*='-active'])":{overflowX:"hidden",overflowY:"auto"}}},{[`${x}-inline`]:{width:"100%",[`&${x}-root`]:{[`${x}-item, ${x}-submenu-title`]:{display:"flex",alignItems:"center",transition:[`border-color ${Ye}`,`background ${Ye}`,`padding ${W} ${Pe}`].join(","),[`> ${x}-title-content`]:{flex:"auto",minWidth:0,overflow:"hidden",textOverflow:"ellipsis"},"> *":{flex:"none"}}},[`${x}-sub${x}-inline`]:{padding:0,border:0,borderRadius:0,boxShadow:"none",[`& > ${x}-submenu > ${x}-submenu-title`]:A,[`& ${x}-item-group-title`]:{paddingInlineStart:se}},[`${x}-item`]:A}},{[`${x}-inline-collapsed`]:{width:ft,[`&${x}-root`]:{[`${x}-item, ${x}-submenu ${x}-submenu-title`]:{[`> ${x}-inline-collapsed-noicon`]:{fontSize:ue,textAlign:"center"}}},[`> ${x}-item,
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${l}`].join(",")}},[`${x}-item-icon`]:Object.assign({},(0,Se.Ro)()),[`&${x}-item-only-child`]:{[`> ${X}, > ${x}-item-icon`]:{marginInlineEnd:0}}},[`${x}-item-disabled, ${x}-submenu-disabled`]:{background:"none !important",cursor:"not-allowed","&::after":{borderColor:"transparent !important"},a:{color:"inherit !important"},[`> ${x}-submenu-title`]:{color:"inherit !important",cursor:"not-allowed"}}}},rt=R=>{const{componentCls:x,motionDurationSlow:l,motionEaseInOut:u,borderRadius:w,menuArrowSize:P,menuArrowOffset:X}=R;return{[`${x}-submenu`]:{"&-expand-icon, &-arrow":{position:"absolute",top:"50%",insetInlineEnd:R.margin,width:P,color:"currentcolor",transform:"translateY(-50%)",transition:`transform ${l} ${u}, opacity ${l}`},"&-arrow":{"&::before, &::after":{position:"absolute",width:P*.6,height:P*.15,backgroundColor:"currentcolor",borderRadius:w,transition:[`background ${l} ${u}`,`transform ${l} ${u}`,`top ${l} ${u}`,`color ${l} ${u}`].join(","),content:'""'},"&::before":{transform:`rotate(45deg) translateY(-${X})`},"&::after":{transform:`rotate(-45deg) translateY(${X})`}}}}},vt=R=>{const{antCls:x,componentCls:l,fontSize:u,motionDurationSlow:w,motionDurationMid:P,motionEaseInOut:X,paddingXS:W,padding:Pe,colorSplit:ce,lineWidth:te,zIndexPopup:ue,borderRadiusLG:Ye,subMenuItemBorderRadius:Ge,menuArrowSize:$e,menuArrowOffset:ft,lineType:Qe,menuPanelMaskInset:A,groupTitleLineHeight:j,groupTitleFontSize:Me}=R;return[{"":{[`${l}`]:Object.assign(Object.assign({},(0,Se.dF)()),{"&-hidden":{display:"none"}})},[`${l}-submenu-hidden`]:{display:"none"}},{[l]:Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},(0,Se.Wf)(R)),(0,Se.dF)()),{marginBottom:0,paddingInlineStart:0,fontSize:u,lineHeight:0,listStyle:"none",outline:"none",transition:`width ${w} cubic-bezier(0.2, 0, 0, 1) 0s`,"ul, 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&-placement-rightBottom,\n          &-placement-topLeft,\n          ":{transformOrigin:"0 100%"},"\n          &-placement-bottomLeft,\n          &-placement-rightTop,\n          ":{transformOrigin:"0 0"},"\n          &-placement-leftTop,\n          &-placement-leftBottom\n          ":{paddingInlineEnd:R.paddingXS},"\n          &-placement-rightTop,\n          &-placement-rightBottom\n          ":{paddingInlineStart:R.paddingXS},"\n          &-placement-topRight,\n          &-placement-topLeft\n          ":{paddingBottom:R.paddingXS},"\n          &-placement-bottomRight,\n          &-placement-bottomLeft\n          ":{paddingTop:R.paddingXS},[`> ${l}`]:Object.assign(Object.assign(Object.assign({borderRadius:Ye},Ie(R)),rt(R)),{[`${l}-item, ${l}-submenu > ${l}-submenu-title`]:{borderRadius:Ge},[`${l}-submenu-title::after`]:{transition:`transform ${w} ${X}`}})}}),rt(R)),{[`&-inline-collapsed ${l}-submenu-arrow,
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et=(R,x)=>(0,_e.Z)("Menu",u=>{if(x===!1)return[];const{colorBgElevated:w,colorPrimary:P,colorTextLightSolid:X,controlHeightLG:W,fontSize:Pe,darkItemColor:ce,darkDangerItemColor:te,darkItemBg:ue,darkSubMenuItemBg:Ye,darkItemSelectedColor:Ge,darkItemSelectedBg:$e,darkDangerItemSelectedBg:ft,darkItemHoverBg:Qe,darkGroupTitleColor:A,darkItemHoverColor:j,darkItemDisabledColor:Me,darkDangerItemHoverColor:Xe,darkDangerItemSelectedColor:nt,darkDangerItemActiveBg:At}=u,Je=Pe/7*5,gt=(0,Re.TS)(u,{menuArrowSize:Je,menuHorizontalHeight:W*1.15,menuArrowOffset:`${Je*.25}px`,menuPanelMaskInset:-7,menuSubMenuBg:w}),Ht=(0,Re.TS)(gt,{itemColor:ce,itemHoverColor:j,groupTitleColor:A,itemSelectedColor:Ge,itemBg:ue,popupBg:ue,subMenuItemBg:Ye,itemActiveBg:"transparent",itemSelectedBg:$e,activeBarHeight:0,activeBarBorderWidth:0,itemHoverBg:Qe,itemDisabledColor:Me,dangerItemColor:te,dangerItemHoverColor:Xe,dangerItemSelectedColor:nt,dangerItemActiveBg:At,dangerItemSelectedBg:ft,menuSubMenuBg:Ye,horizontalItemSelectedColor:X,horizontalItemSelectedBg:P});return[vt(gt),xe(gt),be(gt),Z(gt,"light"),Z(Ht,"dark"),le(gt),(0,Ue.Z)(gt),(0,Ke.oN)(gt,"slide-up"),(0,Ke.oN)(gt,"slide-down"),(0,Ze._y)(gt,"zoom-big")]},u=>{const{colorPrimary:w,colorError:P,colorTextDisabled:X,colorErrorBg:W,colorText:Pe,colorTextDescription:ce,colorBgContainer:te,colorFillAlter:ue,colorFillContent:Ye,lineWidth:Ge,lineWidthBold:$e,controlItemBgActive:ft,colorBgTextHover:Qe,controlHeightLG:A,lineHeight:j,colorBgElevated:Me,marginXXS:Xe,padding:nt,fontSize:At,controlHeightSM:Je,fontSizeLG:gt,colorTextLightSolid:Ht,colorErrorHover:tn}=u,Nt=new 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DZo7q6+zSmtFGntN6GcwOECwM5gOw+fd6lNW31QG6lADLytTHhwkAOILt0N3cv5XZWe6gXZNqhEGEgB5B2jOfw2LLAvmad3bX2pu1QYSAHkLZM7TDZsYD4NDn2YpJeccHCQA4g7Vja4bFtgeJ6D5WNNqdtcXD8TgM5gLRtaofRjgWa3LC9yl5M0jtK+p0GcgBpx8oOT1QWyKt209Aa2ds2hbpczM7Iwrvr4AAyKlM7zHYsEKVz0+5uIAeQdizs8Ni2gIyL8icxSbeNnZv9go0wkANI26Z2GKOxwJ56D+VRODdmGMgBZDRWdnhtW6C6WWeX/Zjk/jDQ/wHkSLPJ/mcrgQAAAABJRU5ErkJggg=="},57177:function(fn){fn.exports="data:image/png;base64,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"},81378:function(fn){fn.exports="data:image/png;base64,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"},81378:function(fn){fn.exports="data:image/png;base64,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diff --git a/p__Declaration__Research__TeachCompetition__Edit__index.1a184fec.async.js b/p__Declaration__Research__TeachCompetition__Edit__index.b962e139.async.js
similarity index 84%
rename from p__Declaration__Research__TeachCompetition__Edit__index.1a184fec.async.js
rename to p__Declaration__Research__TeachCompetition__Edit__index.b962e139.async.js
index 7ad0137e53..e99cb4fbc0 100644
--- a/p__Declaration__Research__TeachCompetition__Edit__index.1a184fec.async.js
+++ b/p__Declaration__Research__TeachCompetition__Edit__index.b962e139.async.js
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",Ne="data:image/png;base64,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",B="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",x="data:image/png;base64,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",tt="data:image/png;base64,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",Ee="data:image/png;base64,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",qe="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAE81JREFUeF7tW3l4Tef2fveJzIkxNQc1RFsxUxJjlWpTdHDRW7RoqXtVq6jqRAe0eltUdTL0VutWqWiVVqmKRJCoeSa0SCOEREhExrN/z7e+YX97n5NEm/v87j9O9Tknezp7r/d713rXcIyrh5aahmEAhgHDcPF39h/bBvan3Ed/iO3Od36cCcA0DLjoTMB0iWuYdCrtK+/lcrOriPPZFfk/wDTVO9timvRtfDt95Oex7fS/PJdtN90wTTftd7N3dqjbBLtj0y2vJY6R54t3dl2Dvoafx6/PPsvvdfPn1o7n98Oux+9R7mNPT9u0exVPZz0fkO6Ce4th+EypH/P6H8aVg58TQBwIlwWIBIlthh0k2kLHs3/8HHYrHA8Dbm8gSauXA5IhDELGFg8kYeWGl2BYILHt3Ihym/MzM6g0mN2YhgCIX7eEjC+NqBud3RcHiO/Xj5GLp2yQ+LllgkRgckO5YGYZhqu1kc0AIoOzVc4YxA3O7Vg+k+h4yTTt/f8HJGlMAacGEl+9YsVKxonVb9vHmKSxBnDDdDNWSHZaYMjjOHvsICmWewPvLzCJbAr3ciP7wGfCxTFD25lkA4lcH6cJZ5Rwf5JdDjBt7k5zb8rJ/deYZDGDll+ZTLLcnc42cneKfdyFlcokcsF8pXtjkw18J1jaQhGrR3OD0mdY7twFpBvZ+z8zKW6QwThAuruzgyTcnReQeMyyM65skDjIZb10d0cRhLky/mQSC3JdnkwRD+mIS+o4DQBpUAaSsLq4vgBJAVI2k2wuzyMmWWxU8VPcm5vcswU6YzAZht0js+flfUuUSOBk8MYkTTBIN/Y/AMmKP0JEqJjEH4obmzPKHpPkitcM4WQJVxAKJO7iKgCSuDePWKW5O5tY8Coc3DCy9yw2KborteZQaComWSBJhWe5OytmeVOBFXZ3pLisF606r0xiIAmFJeWfUnU6qyQbrICv1BVTnM6YpFSbPfZ4i0k3zCSlNLVY6QGSIQDiUb4MkLgEt0lvdooA1qbyYOD3PfGoXq8xqtVpRGb0kOBlxKQrGakIqVoTPn7+Nu/H1JYEiciv1LhJC5/jxZhkyW4ptVVQt0lvdqSUyzLuSAY5QCImFSuF5VR3EpTT+7fBLygEtRpHChkuVZkX1ecQDtL92t2dCSNr90JNZnsBScQkCwSe5Vgy20BxUT58/QOFAgRWvPQoWvV9BHf0fIiOO7BhOWo1bYmaTVvSIqAreIBkwHQX49s3RqNGeFP0ePJl+p69675QQPGbF1iI95CqtyAiuq8GklyRpTHJEhIcLwmSXT4LjU+GzruahR1fz0NElxjUbd5WrAWe//A8iedTe9d/icy0U+g16hWVmzmlv1wsNiXoRTzIhWZk7frE5OzgSarQzCoptRJVXURYIBXn5yFuyQzUaBiBDg8+QZZf+fKjaNl3CAHkLi5C0soFOLNvG1r3fQSRvQfBdPl4JLPsWU8lbcSO5R+g97gZqNO8DRni+xlj6f1Kxh8IrFwNfgHBCqRr2RcR1rA57vnnDNrGXB+3niPWCMZ5T2JlUlu6uysqzMeeH5Yi9WAS7ugxABHR9yE7/Qzyc69YCbMbuHoxDUcT16FFjwcRVDXMdh8BIVUQWqOuTb7bwBIgEdjaMxiZv36kAJLqTa5uqeiUQqNM1HJ3hfnXsHXpbFzLvIBeY19H5Zr1iDErXx7KAerxoHCLLqTsWI+dsZ+i3m1t0e3xF+ATEGRjkukuwfczx8I3IBj3T3nf5t7MkmIse+5BRD/6LJp07gPp7tbMHoe6t7VD+wGjLPdnA0lWADgIunDQ8xZdWTmlszyHGTMleQMObFxBCy3j96NIP7Hfdp9l/dEgsjMie/3Ne5Jrk/iCkZKdmTs/MnkJh5HGx8YkJr9tICkJbuDyH78hacUHKC7Mx11PvIqqdRoq9n3zyjC0vIcx6AECNPPsCfz63RJcOX8WPpV8ERpWGz1HT0NAaDUF0qldcdi+bC56jHoRDVpHIz83G4bLBf/gKijKz8PXUwajy/CJaNyxF2dLYQG+mjII3YdPRnjbbnDp7s8WbK1k1iMm6ccpI3kyieKd2H/+1EGENWgGl8tH5UFH47/H6X1bcfcT0+AbEMSZ4y5B9sU0VL6lnmdlwiHDvbk7ySTjUvICkxmCM8MOkinEgw4S+3z10jn8/OHLCAtvhqgh4xFQubqWPwHx/34bjTv0QFDVW3A88Qec3b8dDdtEo22/kSgpzMemj6chuFoY+k54l7tS043v3x5HboG5N/a18YtnIi8nC/dNnIO8yxcRO30kuo+cioZtuxJAl84cx/r3JmHgq4sQXKM2zx6EutPlOK/BySBNn2QNSavZ6cJCFw7iPHcJiq7nEbu5Ma263eVzvyH+i3fQ5t6hCG8ZRexmrvT03gQcjItFl8HjUbVOo1JBKism0fMwgJxFUGdMcjKJgZR2bDfq3tYeLlclCxwAhXk5SD2UjJPJP5OfDmvUHG1ihqJm4xaiUuFCzqV0FBVcR436Tciwv+3eguQVH2DA1AXwD62Gc8f2YOvn7yBm0nuo0SAC2emnsfatp9H+wVG4o9fDBNCx+O9x4KflGDLzK17f4hkQuTFV75KCgkBiRhX1VXa0kH5WEC8dpH0/fonzJ/aj27DnVWwxzRIUXLuK+KWzEVztFkQNHsfzXLeb7sFdUoIdqxYgNysD3YZNhn9gyJ8AyUq+jYtJH/BElWSzZJKMM5Zw8AYSA5bdyJX0szifsh/pJ/YiK+13+AUEoVG7bmjSqTeq1m7Iry0qDaogK5W9aeLrV4bCXVwMH18/FObl0vERXWPQadA/iNkZvx/GhnkvoHZEK/R5ehbtT1gyC2f2b1duv/vwSWjUvqeDSbIUbpVlZHmcmOQBklVt1iV47uUMbFs2h+6t+7BJqFwzHHlXM5H4nznIyTxPwoHZIT/3Kgqu56DwWg6Bx0REUUE+ajdthY4DRnnW7/RKh5uDwpNjETvZ02fsmG+T2arUo8SABMkAc3ls/5l9CRSDGENY3uIuLlGGYiAzZeVTyY9vc1R0ajZtgcheg7hiFCAdT/yRFkdIWG2c2ZuIc0d3YcBLn8A3MJjYcPbgDsQvngXDxwdD3lpOfv7S6eMU/3IunkPSig/xwAsLKA4ykhRczy2VSbLtwD2dKMGQYWRh1ap2+wYEqNhTmJ+HxKXvICczHX3HvYXcrIuIX/o2/INC4R8cAj/2HhQCv8BQ+LG/A4IRGBSKa9mXcHBzLDr0H0lA8djvWYhV7RFbackN48L29xVAuqS2amuWBJcxac93iwiYanVvxbXLl8gFNYu+l8cxDRH9MwPk9O54VA9viq7DJ1GbglcdOIgkJs79jp/mTkL3x55HeOsuqlZ38KevcCxhHfxDKqNNv8fQkO0TryO/rMbhzasxeMYyUdMClk7or/b/1Q9sMQx6Yxl3jcJoDPj04/vQgMUa06QUoij/OipRDmhSnHJV8oHhqoSS4iKUFBXCzy8QKUkb0KBVNHz9g1RfygmSXhOUi4hKVhe2zVMxyCqUakVT0e+ReRI13QST2PGHN8ci9cB2xEyap/WSHFUHcU7cojfgH1wZXYdNFOBYIBUXXsdP709BrWat0eHhMaTu5HdtWfQmXD4+qNn4DqQd2U1CQr42vv8CAqvWQLfHp/AUzm1S/BPhRisR8Rgj45PINmQ30MYgvtGFRu26qz6St/bDhRMHkPjVHMQ8+y4CQqtg9YzRaNHrYTTr1Acnd/6CY4nraJ8u1e25mJNJPHGWDT92G0ZG4jzTFKm9N0nNmcRZJBmmg3RkcyxObPsBgZWrl7pYhTPD9dxs1G9xJ7oMncg9HDHIRUbYvHgGCq5dQaeBY5Fx5jgyTh1GJT9/dHlsMlZPH4EWvf+GW9t1w6ppI9BtxBRakczFrps9HtFDJyj5LUESXsurcOCrVe/KCnfnVThIN2gSW+L/PQttYoajWr3GOLt/G35dvRAPTf0YLl9/xL45Ci3uZgDdg1M7N+HY1nW4b8J7VrVBk+uqQ+voO+k1QWrwZWydSwxys8WstRs83Z13kI7ErcaZPfHo+PBTltGlILC1H4B967+iZLbL0OeUrGcn7fzmY5xM3sQBc7lQve6tVJmof0dHVKlZD9/OGIP+L36IKrUbYNfqhUg9kIQHXv4EcYveBKsmDHjxIxguH2uBmFB5kYCCr2IeAKx63Q2BZAmM03sSsDP2E9w/aS4Cq9RAyo4NOPTzSjz00kKKKwygyN4DCSD2PMcS1yJmwhwVc6yurL32p/eQ1GcmGsjFJcxR7Qa35rrKc3c0b2AYYAxKPbANPZ54lcttEfkt5lk9oh0r5iOoShi6DJ2gzTeAMvKcjHOo0bAZqtdrApevH7k41pU98OMynEzeiIFvfkkAFBfkYc3MfxBw51MOoufoVxDesrMnex0gyTxJRGkNLOFSVLtZ693YhIMbcYvfIJR7jHqJjL73h6W4kHIQfce/Q/MNq14fSaWsiM73ICV5I45tXYv7n5trU283CpJkknEh4T1ikFj+SqndiLtjIDEGnUj84YZjcYNWUYh+9DlbR1YvvPLKt4Hi67nwCwxG7BtPolbTSHQdNkkNoRzdsga7v12MsEYRlMiW+iqHSXZG6Y0/wTStO3stKwNr/zUeHR8ag1vbdyejb/r4VYSG1UHHgWNptce+NoIAah51H1KSf8LRhLXoN3EuWC0v47cjqNUkkocKW+fXy4yDVmkwzse/K/IgORjC3Z3L2V4QUz9cHcu5BRcOx39LIqH3uFlwUR7FpbjlIq3cKmHpbASEVkWXv0sGCZ0tqhi5meeJFWcP7MClsycQ/cgz2LrsPdz//HxUrRVO7Ew/uR/xS2ahuKiQjNJuwAiVvHoFygGSapIpdyfltc4kregqQDq4aSWOxq/BAy99gkp+AbhyPhUbFryIdv0ex60d7qKvjp3+OFr2GYyIzvcSg44mrEG/SfOQn3MZ6+dPRa8x0xBSrZaKSXqJp7Q+knFuy79M1u6WBqWl7RI5TxkxSbqwI/Hf4cy+RNw56J8cHAdAVhvcwL4fv0BIWB1E//1ZNSnEam6siJqZmoKC3KuoXLMu6jZvh1saNceuNUvQuMNdaNdvBIpLinE07lvs37AcodVr4a6npuNk0kYc3hSLxh3vQudHxlOi6x0kEy6rUyEq0PxIUlUKLPvkj2w5MGW1dvZ4aoN0HvIMWGE3YenbyD6fipjn5sBVqRIZfdX0xxHZZzBui7oPJ5I2EED9J8/H5fTTiFsyE33HzaT6oyUErJEujyEUkcQaaXHvEIMkSIyCdMOyGSc7rR7M4KAeiV+DE9vW37CLY/EimjFIsKawIA87ls9H3dvbot7t7RFSvTZdl2XurGLcf+qHYMxK+Hw2lYjqNG+L7o9Nhm9IZfrOlO0bsPObj1C9fhP0eXomL1Z6e5kWSFxMWQ1AT5AIMWFI4MLJQ/hl4WvoOXIqake0JaHw2644RD3yDMIjO6mi6appjyHyniHk4tIO70TSqo/QuH1PZKWdoopD/4nzAJerlJjkWaSlezy3eTYNjeggiQBhA0mVg2zuy8Dxretw9lAyej/1ushbtMERlxzJ4vkOq36z6vSdA8d6GYy0TwoxdrDEtGGrLijIy8Hmha8h8u5BqN86mrOUmVAMRqYf20MG6zp8cpkL5cZn7uzuLjfzAo5vW4+2MUOp4n982490B82i+ooWOz9+95rFqHt7B9Rq0hIlhQU4tOkbZKWdpKpKeMtOPMH2OhipFXMdc3lG2ubZxCC2qmTskBM+JBw0JpUGEsUkNkTC2OcAUCW1snIgJ1hVfa686VU+yEKpoza96gRJuldZQipdOPx1JqnKs94u8DJzx10Yr67bWwlsMFJOplolJdmVdYJHDEr75W1VSZAg2WKSl1kFm5RW4kGMDjPB6QDVAlZUDjwEiDbOpca3hMm1UWQnSN5b51J4lEEmzd3Zx7m8xSS7u/MKkjZd5K3hZwOJxqm8tDRk69wBqvHHpre02WwucTlxrPk4r21wrzGJT6Z6G0CxanvWHLjOSKn+aFJIKcXyQVK1PFl8lVJFHwMqJybRHClTe+I4e0wSK14VOa3mna0rq6Z0nLHEySR9DFlWrrmLk7MNou7EtqUTQMo4AhQ5AG/JZSozeEz92JkhXaSPGh7hJSFHV5YtANU6l6zThlDUORwc23fQLXh3d2qegrlC7goopyvz9aeYJIZNHA0/pQRlboOSUuKMBiyNcUkgrfxLgSRYBBPLjdSfZ1n9IM2dyekbHSS228PoPMhoeQ/7zFrnfLu3riwZ3jHfYFskQkVarPMClqha0OOJSSFZI6TTmT3loioDpdKnV0WJhwY0RDtQn3dg7STRw9FLNeTOSnVhdpCsX0nYQRIxKSsAAa2NsxtninaDZgQNKEoz1U9TLBbZmSHP1WMMb5+XC5KKMfo4l3Bz6ucuVsNPVh2YQ+Jihg/LlgbSjTCpbJDkGJcdJHtR0/6rivJAsn7KIpmk5V9AOkz3loASvylBnUf/YWz/dNSnAMaUtsiin/qsPEdRjh+5ubsiFjAOr3zN78rl1C2AGeXtQjcBqoh5K34usWPXp2PqFKJkN2DWcV7yJkAVN3JFrqDcV/KSUVHuEmwxTdgKWjcBqoh5K36uLb4kLXpyjNvtZjFJvW4CVHEjV+QKHgLAKRpuAlQR81b8XA+AnKLhJkAVN3JFruBVQuui4SZAFTFvxc8tNceRoiFqzGf2X1JV/DtvXuFPWKDMJJSJhs6jFy/8E9e7eeh/2QL/B6DwevuUcCm/AAAAAElFTkSuQmCC",bt="data:image/png;base64,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",we="data:image/png;base64,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",de="data:image/png;base64,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",Se="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/F09vMBST6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",Ne="data:image/png;base64,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",B="data:image/png;base64,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",x="data:image/png;base64,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",tt="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEy5JREFUeF7tW2l0VFW2/m4FkhBmQ5iEJEwBMcgoElwMMoOg0q20ywkJQj/1MXTjoxVlkjm0QNs2AgIapNW2gRYRbGRMCDJGmWcIUxISyASBhITUfevsM9xzb91UgM567w8lrqq6de+puvs7397fHmJcPxJvGoYBGAYMw8Of2X/sGNhb+Rm9Ecedz/w8E4BpGPDQlYDpEWuYdCl9VtbD42WriOvZivwfYJrqmR0xTfo2fpxe8uvYcfpfXsuOm16Yppc+97JndqrXBPvFpleuJc6R14tntq5BX8Ov4+uz1/J7vfy+tfP572Hr8d8oP2N3T8e03yruzro/IN0D73bDCBjfYMDUy0be4S8IIA6ExwJEgsQOww4SHaHz2T9+DfspHA8DXjeQpNXLAMkQBiFjixuSsHLDSzAskNhxbkR5zPmaGVQazG5MQwDE1y0h40sj6kZnv4sDxD/Xz5Gbxz9I/Fq/IBGY3FAemNmG4Wlt5DKAyOBslzMGcYNzO5bNJDpfMk17/r8BSRpTwKmBxHev2LGScWL32z5jTNJYA3hhehkrJDstMOR5nD12kBTL3cC7DyaRTeH92sg9tFy4OGZoO5NsIJHr4zThjBLuT7LLAabN3WnuTTm5cmOSxQzafn6ZZLk7nW3k7hT7uAsrlUnkgvlOd2OTDXwnWNpGEbtHc4PSZ1ju3AOkG7kHl5sUN8hgHCDd3dlBEu7OBSQes+yM8w8SB9nfQ3d3FEGYK+N3JrEg1+XLFHGTjrikztMAkAZlIAmri/UFSAoQ/0yyuTyfmGSxUcVP8du85J4t0BmDyTDsNzJ75hxYpkQCJ4MbkzTBIN3Y/wNIVvwRIkLFJH5T3NicUfaYJHe8ZggnS7iCUCBxF/cfgCR+m0+s0tydTSy4CgcvjNxflpoU3ZVacyg0FZMskKTCs9ydFbPcVOB/7O5IcVkP2nWuTGIgCYUl5Z9SdTqrJBusgK/UFVOczpikVJs99rjFpLtmklKaWqz0AckQAPEo7wckLsFt0ptdIoC1qbxyjkklxYW4dGgPQhs0QfWwh7lUZuRXatykjc/xYkyyZLeU2iqo26Q3O1PKZRl3JIMcIBGT7iiF5VR3EpTzB3ciMKQK6jSOFjJcqjIX1ecQDtL92t2dCSM7eYkms11AEjHJAsGDwvxcXD6yV8hsGUuk7Jbqjz8LOcjlJR3iYiOiTWcEVXuI7Cq46RqTTG8J1kyJRYPojuj0/FuKSZR9sN0umGSBJHdkaUyyhARfQoJkl89C45Ohb13Pxq5vFiDqyQGo37yt2As8/+F5Es+nfv3xS2SlnkWP2A9UbuaU/nKz2JSgi3iQG83I3r/I5OzgSarQzCoptRJVSwRkXz6LLYsmoUJgEAwPS0uFAyo7D4VZUoI7RbfRb2wcwiJaUDKbcfoQLh78mbPAZY0rJw+i4HoOGj3eXWOOlcCyS8Jbd0btJq1kcNKYxCWzHpPsSaxMakt3d8VFhfhlfTwuHd6Nlt2eQVTn/shNv4DC/DwrYfYC16+m4njSD3i023MIqVFLJKScRcFVqqNqaH2bfLeBJUAisAXw7A6NrH0LFUBSvZGIkMzRqweUiRpgAG1dPBk9RkxGWKNHuF0ZUJr0tudRbANwg15LOYaNn0xA37FxqB3Rgq45lvA9kv+1FLWbtBS+qiykrWoDuyDz7DF0eG44WnZ7Fiw+8S3uyyQ7SG4xyXJ10m3Ja9h6p/dsxKGf/oHWfV9EZspxpJ86qEVG/y/Dozshusfz7kmuTeILRkp2Zu1daPISDiNNgI1JPiAJsLIun8G2xVMJoFqRLZB18RQ3iIhlKk8SlCDpHhCAsMhHkHnuKH762/voOyaOrmX8O564Fsnff4GX531nEege8qQV455D+0GvE0DSl1vPVjLrE5P0oKyM5Mskinfi8ytnD6NWeDN4PAEqDzqe8D3OH9iBnsMnoWJwCLeFtwS5V1NRLexh38qEQ4a7uTvJJOPank9M6aacIJnS4A42MT/LAHrqjYkIa9QSq6cMRUlxkd8tVLFSCIZM/wpXBUD9xsQhNKI5udIzuzbiyKZvMXjKcqQe3SeiVVksIggQ3rIjVk2NRXSf3yGqUx8r1ukMUj6ePLusIWk1O11Y6MJBBHdvCYoLbqFicGUBlFW3y0k7h4QVcWjT72U0bBUDWTo6/2siDm9bjSeHjEKNepGlguQvJlEeyAByFkGdMcnJpGwG0JIP0f2NDxAW2RJ3igp4dUHkSDtWxNHrrsP+xJNX9sbjQWBwZVxNOa4YVDuiOaVl7PupwGoAK8cNpjh1t4/XFqxToEh1p+pdYhFeKGVGFfVVBpJQFVYQLx2kAxu+xJVTB9Hllf9RscU0S3D75nUkxM9B5ZphiBnyNs9zvV6Kd96SEuxa9QnyszPR5ZV3EFSpyj2AZCXfxtXdf+WJqowjqppgFw46SAyg7Z9NQ/fhH6BWoxaqYCrX2bZsGq3XY+RkhzQ3cDXlBDYtfB99R89BWGRzgk+CxH5FyZ3bSigU5Gbj6NY1OLt3CyLbdkG7Z2MRWKmSDbuAisG0a6VKpJRV5EmKLeRSrOoyJ5EbSFa1WZfg+TmZ2LlyHopu5aPrK+NQrXZD3LqehaS/z8ONrCskHBgghfnXcbvgBopu3iDwmIgovl2Iuk0fw+PPxPrW7/RKh5eDwpNjUT1n95K562ObzFalHgJKB8kAc3ns8xwG0NLp6D78fYoj7OZLiooVGElfzqXXXYaOF2oQqBAYDE9ABWLQpoUTCaBaEc1VUVa2Im7nZeHisb24dGg3rpw+hMrVQ1F48zoGvfc3VHmojg2c1OPJOLh+Jdo8/SoaSPkL4HZBPu1iNybJtoMCSakmWVi1qt0Vg4NV7CkqvIWk+DjcyEpH37dnIT/7KhLiZyMopCqCKldBIHsOqYLASlURyN4HV0alkKq4mXsNh7euRodBwwgoFRudBVeZo9lKS14YGT//RQGkS2qrtmaBJGNSTuo5JCybju6xExAa2QJpJ5Kx66u/+PVKXV57Bw2iO5GK2/TpJPQdPRu1Ihj7uGs7mbQB5/ZvQ9bF0yTfI9p1QbOYfqgVGYV/z3+HVCIDlW2vy8f242TiD6SiGrXvhtb9X0K1WvVFTQuIHzvobj1kqecxUfPChyu5axRGY8CnnzyAcBZrTBPeO8UoLixAhaBKjLYUpzwVAmB4KqDkTjHF5cDASji9eyPCH+uMikEhqi/lbGnoNUG5iahklbFzgYpBVqFUK5qKfo/Mk9hOz047i8RlM9Bt2HvEoKKCm8jPyRDGNnBgXTzdeNtnYpF/NRXBVWsgNDwKQZWrEoM2fzoJfUbPQlg4k9k8Rp3du5mka8PHYlA3qg0qVgxE3rU0JH+3DGknfiFG1m70CHLSLpD7qNe8DTr8ZgRq1ItQRiZN4zVxZs8mnmfa0ioeYySrRLYhkylVBRd+hjoyke26qj6SW/sh49QhJH01DwPG/BnBVatjzfQReLTHb9Dsid44s3cLTiT9QJ/pUl3GPLmevXXBE2fZ8KNEPDNpgWmKCC0B8mUSZ5E8npV2DonLZ6Dr6+8SQE5gE5bPJNMwlbdl8SRUq90AHX/7X2Sda+dPcIBGzeQuTmwAoTDIgHlZ6TiVtAEnk9ajduOW6PjCmzi2eTXOJW9HzIujkLJ/O7Gs+4iJPgyQIHGNZ5WFdHendzply9Y9JmklGpjEloTPZ6LNgFdR8+HGuHhwJ/atWYLB734KT8UgrJ4Wi0d7MoD60IY7seMH9B/7kVVt0OS66tA6+k56TZAafJk75hODvJRnWszxB1I2k5afz0QXBhDFEb1NYSDx81lkuO7DJ4K5w82LPkC/0XGoXjcC184fx+ZFk9H7v2ciLCJKMMiDmzmZuHAgCRcO7kT25XOkjNoOfA2N2nWjmLLrm48pLg2ZuRL5OdewYe5Y9BkzG3WaRPu6KRPwyADMawp8F/MAYFUZbK1zf8KBC4zzvyRi7+pFeHrcfFSqHorTMj2YsIQ+ZwBF9/otAXRmz2acSFqHAWPnKfVmdWXttT+9h6ReM9FALi5xnmo3eIUI8M8kAzlpKUj4YhYBVFx4CxmnWUYtZTaQdvIAGa1+i3Z0NDfjEmrUCUf9Fm0pmG5ZzACagTCWBwGkdtbOfJPiTETrzmjU4SnUaxINrycAKfu3IXntMkoMWbmn96iZqNO0FRKWTqf3/cfNc48jDpCkuhNRWgNLuBTVbtZ6N6L5x3H1YtvSDwnlbrETyOi/ro9HxunD6DsqjuYbVk0dhuheL1A+dnrPTzixYx2e/sN8m3q7W5BUJSMj8SNiEJdTllLzBxIDKDF+NroM/RNu5WXh0uFdVr4jo74WGWRRIKL1k6TEtiyZgl5vTxcAcfYx6V6jTkNSe0w056alIPn75cg4exQtugxEm/4v4ZsJL5G7a9a5HzFzfdwYPNbvRbQe8MpdgeRkkp1ReuNPME3rzt7MzsS6uaPw+OCRaNS+Kxl986cTUbVWPTzO3Ddj0JTXCaDmMf1xes+/cTxxHQb+cT5YLS/z3DFiO4UKW+fXZcZBqzQYVxL+LPIgORjC3Z3H2V4QUz/M2Nlp57Ejfg66vjoeD0XyagB7eKhwyqW45SJ5MVUeYy5uy5Kp6PUWA4i7OP45UHTzOs7/moRzyduQfTmFSipPvPAWajRoAm9xEb4e/zw6vzwWjTv2pO85sX0t9v9rKfl9liO5PhxMUjU65e6kvNaZpNXzBEiHN3+L4wlr8eyERbSJ8q5cwsZP3kO7gUOJ8eyxevJQtOo9BFGd+hGDWAlr4LgFKLyRgx8/fhc9Rk5ClZp1VEzSBUJpfSQjbftck7W7pUHJVXkEk0qJSTnpKdgRPxeteg1B9ToNrV4SoWMBJFsUOgi5Vy7hwPoV6PXWNNQK53lQTvp5HNn0T6QKtdYw+gk07dgLdaNaw/AEkJvMvHgSGxeMR8/fT0W9lu0UFoc2/B2HNn6Dlj0Go/1zw0sByYRHq68qSSt3qgLLPvkjWw5MWa2bMwqhDZui0+9Gg7VAmAdh9zLgD/PgqVCBjL5q8lBE9x6CFjH9cWr3RgJo0Dsf0/1tWzYDfd+egeCqNa3RK22ky2cIRcRQI3VbHDFIgsQoSPcim3Gy06oxIzv9PJJWzHU3xl0e7fnmNISFcwYV5LGs/COqFjBREFS5GiGdd+UCbmRn4lbuNZxKWo+C/Fw8P3UFAipUVDN37OuSv1tKcalhq06lf7tpgcTFlNWlJePYQKI3wpBAxpkj5Ja7D3sXdaPaklBgOVvMi6PBNpOsUqya9BrVBJmLSz26F7tXLUTj9t3JfbOKw6A/LqCSl7Ph5xzn0tlkpG2dQ0MjOkiq0aaBpHdTc69cwM9fLaASf836jcXpHj6YqNoTvAXB662iFcFaFakp2P2Pv+KpEZMQ2qCp5grtk0Ls+87u24J9az5DSPVQ1KgbThWDanXD+ZrMhGIwUhBXudrSULr7mTu7u8vPysDJnT+i7YCXqeJ/cucG+gXNYvqKFjs/P3ntUtR/pAPqNGmFkqLbOLL5n8hOPYOACoFo2OoJsBjs5tas1rlWkhKVBiN16xxiECV1GlBlgWRv5Hmo/U3ss8Ufy+hUDlVy3IpVMmbJlofv9CoHmP0+xnI533C/IDEDSXd3r0xSlWe9XeAyc8cZwGuC9lYCG4yUk6lWSUl2ZZ3gEctTt8xWlQQJki0mucwqcKFmFwIcXC4IaGf7NPwkk1zmG+T0KoFsiQa5SWR+5gRJVsBlHU81KMroJekg2ce5hNH8uDtXkLTpIuesnN5L4sCxmrtLS0O2zh2gGpc3z9Jms9kO5YrKAom7J9+pH6daEwCp1rkbSL6gKgYJBtOkEO9PqEKqPinkxiT1+6xszLV1bnN9GpOoKc7UnjjBHpPEjhesUcJBi1sqZlAwcTb8nEzSx5Bl5ZrHOznbIOpO7Fg6AWR3M0zB8f6MJZfdQbLiktXuZj6ajw+LYXk/rXOLdfy7VMvcdfRYukV3d6fmKRi03BVQ9d3vwwaSGABxBan0riwnmyUoTJSUEmesriwv80ggrfxLgSRYBBNfG5c2zbT6QZo7k000HSRXo3Or2oI9b53z425dWcp7xHyDzziXPmLscHf2DcGLrHrDj4sUbmEGkvxufyCVPr0qAjZbUBuIpLVEjPGKHo5eqiEXWKoLs4Nk/ZWEHSQRk7KDEdzauPjTDNFu4FpI5UPCwBaT7Cyyxxh5rRQCnEGcTWWApP7cRRMOkkG6IlRgSRA8YlzZP0h3wyT/IMnhE1F6dcwxcIls/6uKskCy/pRFMknLv4B0mN7twSWB40M6jbhs/Lw4djGAkaXtss6/X16Wo7jLzOfBafdjAePot1MC83IubQfMGLcFHgB0P2Ytv2uIHfsXj6xXhJJkwKznXPoBQOVn7PtZSbmvPctiY7wl2G6aCNQXegDQ/Zi1/K6xxZfdn70x0uv1spikHg8AKj9j389KPgLAKRoeAHQ/Zi2/a3wAcoqGBwCVn7HvZyVXCa2LhgcA3Y9Zy++aUnMcKRpiRi4PKr+ve7DSvVrAbxLKREOnEUuX3OuiD84vPwv8L+YNX/sKgQHCAAAAAElFTkSuQmCC",Ee="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,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",me="data:image/png;base64,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",Se="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/F09vMBST6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da[0]=="function"||!kl,value:Bl||tl,onChange:function(cn){Al(cn.target.value)},autoFocus:Ut,placeholder:xe(mt,0)||"",ref:Pa},Ci,$l,{autoComplete:yo}))),t.createElement("div",{className:"".concat(M,"-range-separator"),ref:Ea},Wn),t.createElement("div",{className:T()("".concat(M,"-input"),(m={},(0,De.Z)(m,"".concat(M,"-input-active"),Tn===1),(0,De.Z)(m,"".concat(M,"-input-placeholder"),!!Zl),m)),ref:$a},t.createElement("input",(0,c.Z)({disabled:zr[1],readOnly:Yr||typeof da[0]=="function"||!Ul,value:Zl||nl,onChange:function(cn){Ol(cn.target.value)},placeholder:xe(mt,1)||"",ref:Va},yi,$l,{autoComplete:yo}))),t.createElement("div",{className:"".concat(M,"-active-bar"),style:(0,dt.Z)((0,dt.Z)({},Fi),{},{width:Sl,position:"absolute"})}),Gl,Zi&&Bi)))}var wo=function(n){(0,vt.Z)(a,n);var r=(0,et.Z)(a);function a(){var m;(0,he.Z)(this,a);for(var v=arguments.length,H=new Array(v),M=0;M<v;M++)H[M]=arguments[M];return m=r.call.apply(r,[this].concat(H)),(0,De.Z)((0,rt.Z)(m),"pickerRef",t.createRef()),(0,De.Z)((0,rt.Z)(m),"focus",function(){m.pickerRef.current&&m.pickerRef.current.focus()}),(0,De.Z)((0,rt.Z)(m),"blur",function(){m.pickerRef.current&&m.pickerRef.current.blur()}),m}return(0,Ie.Z)(a,[{key:"render",value:function(){return t.createElement(Ya,(0,c.Z)({},this.props,{pickerRef:this.pickerRef}))}}]),a}(t.Component),Ba=wo,Ho=Mr,ro=e(19080),po=e(36355),ho=e(1684),Io=e(19716),bo=e(32441),ao=e(9763),_a=e(33234),Co=e(48183),Qa=e(64993),na=e(9937),oo=e(17313),Ao=e(47585),Ro=e(74207),wa=e(13826),Jn=e(92899),Hn=e(37613),Kr=e(83116);const Ur=(n,r,a,m)=>{const{lineHeight:v}=n,H=Math.floor(a*v)+2,M=Math.max((r-H)/2,0),ve=Math.max(r-H-M,0);return{padding:`${M}px ${m}px ${ve}px`}},Ir=n=>{const{componentCls:r,pickerCellCls:a,pickerCellInnerCls:m,cellHeight:v,motionDurationSlow:H,borderRadiusSM:M,motionDurationMid:ve,cellHoverBg:ge,lineWidth:Te,lineType:Ct,colorPrimary:je,cellActiveWithRangeBg:Ve,colorTextLightSolid:ct,controlHeightSM:ut,cellRangeBorderColor:fe,pickerCellBorderGap:Le,cellHoverWithRangeBg:mt,cellWidth:Ut,colorTextDisabled:Bt,cellBgDisabled:Yt}=n;return{"&::before":{position:"absolute",top:"50%",insetInlineStart:0,insetInlineEnd:0,zIndex:1,height:v,transform:"translateY(-50%)",transition:`all ${H}`,content:'""'},[m]:{position:"relative",zIndex:2,display:"inline-block",minWidth:v,height:v,lineHeight:`${v}px`,borderRadius:M,transition:`background ${ve}, border ${ve}`},"&-range-hover-start, &-range-hover-end":{[m]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`&:hover:not(${a}-in-view),
     &:hover:not(${a}-selected):not(${a}-range-start):not(${a}-range-end):not(${a}-range-hover-start):not(${a}-range-hover-end)`]:{[m]:{background:ge}},[`&-in-view${a}-today ${m}`]:{"&::before":{position:"absolute",top:0,insetInlineEnd:0,bottom:0,insetInlineStart:0,zIndex:1,border:`${Te}px ${Ct} ${je}`,borderRadius:M,content:'""'}},[`&-in-view${a}-in-range`]:{position:"relative","&::before":{background:Ve}},[`&-in-view${a}-selected ${m},
       &-in-view${a}-range-start ${m},
       &-in-view${a}-range-end ${m}`]:{color:ct,background:je},[`&-in-view${a}-range-start:not(${a}-range-start-single),
@@ -8,7 +8,7 @@
       &-in-view${a}-range-hover-start${a}-range-start${a}-range-end${a}-range-end-near-hover,
       &-in-view${a}-range-hover-end${a}-range-start${a}-range-end${a}-range-start-near-hover,
       &-in-view${a}-range-hover-end${a}-range-end-single,
-      &-in-view${a}-range-hover:not(${a}-in-range)`]:{"&::after":{position:"absolute",top:"50%",zIndex:0,height:ut,borderTop:`${Te}px dashed ${me}`,borderBottom:`${Te}px dashed ${me}`,transform:"translateY(-50%)",transition:`all ${H}`,content:'""'}},"&-range-hover-start::after,\n      &-range-hover-end::after,\n      &-range-hover::after":{insetInlineEnd:0,insetInlineStart:Le},[`&-in-view${a}-in-range${a}-range-hover::before,
+      &-in-view${a}-range-hover:not(${a}-in-range)`]:{"&::after":{position:"absolute",top:"50%",zIndex:0,height:ut,borderTop:`${Te}px dashed ${fe}`,borderBottom:`${Te}px dashed ${fe}`,transform:"translateY(-50%)",transition:`all ${H}`,content:'""'}},"&-range-hover-start::after,\n      &-range-hover-end::after,\n      &-range-hover::after":{insetInlineEnd:0,insetInlineStart:Le},[`&-in-view${a}-in-range${a}-range-hover::before,
       &-in-view${a}-in-range${a}-range-hover-start::before,
       &-in-view${a}-in-range${a}-range-hover-end::before,
       &-in-view${a}-range-start${a}-range-hover::before,
@@ -24,20 +24,20 @@
       tr > &-in-view${a}-range-hover-end:first-child::after,
       &-in-view${a}-start${a}-range-hover-edge-start${a}-range-hover-edge-start-near-range::after,
       &-in-view${a}-range-hover-edge-start:not(${a}-range-hover-edge-start-near-range)::after,
-      &-in-view${a}-range-hover-start::after`]:{insetInlineStart:(Ut-v)/2,borderInlineStart:`${Te}px dashed ${me}`,borderStartStartRadius:M,borderEndStartRadius:M},[`tr > &-in-view${a}-range-hover:last-child::after,
+      &-in-view${a}-range-hover-start::after`]:{insetInlineStart:(Ut-v)/2,borderInlineStart:`${Te}px dashed ${fe}`,borderStartStartRadius:M,borderEndStartRadius:M},[`tr > &-in-view${a}-range-hover:last-child::after,
       tr > &-in-view${a}-range-hover-start:last-child::after,
       &-in-view${a}-end${a}-range-hover-edge-end${a}-range-hover-edge-end-near-range::after,
       &-in-view${a}-range-hover-edge-end:not(${a}-range-hover-edge-end-near-range)::after,
-      &-in-view${a}-range-hover-end::after`]:{insetInlineEnd:(Ut-v)/2,borderInlineEnd:`${Te}px dashed ${me}`,borderStartEndRadius:M,borderEndEndRadius:M},"&-disabled":{color:Bt,pointerEvents:"none",[m]:{background:"transparent"},"&::before":{background:Yt}},[`&-disabled${a}-today ${m}::before`]:{borderColor:Bt}}},ra=n=>{const{componentCls:r,pickerCellCls:a,pickerCellInnerCls:m,pickerYearMonthCellWidth:v,pickerControlIconSize:H,cellWidth:M,paddingSM:ve,paddingXS:ge,paddingXXS:Te,colorBgContainer:Ct,lineWidth:je,lineType:Ve,borderRadiusLG:ct,colorPrimary:ut,colorTextHeading:me,colorSplit:Le,pickerControlIconBorderWidth:mt,colorIcon:Ut,textHeight:Bt,motionDurationMid:Yt,colorIconHover:$t,fontWeightStrong:Jt,cellHeight:Mt,pickerCellPaddingVertical:jn,colorTextDisabled:In,colorText:Wn,fontSize:$n,cellHoverWithRangeBg:lr,motionDurationSlow:cr,withoutTimeCellHeight:Cr,pickerQuarterPanelContentHeight:tr,colorLink:Gn,colorLinkActive:Xn,colorLinkHover:ir,cellRangeBorderColor:ur,borderRadiusSM:_n,colorTextLightSolid:mr,cellHoverBg:Vr,timeColumnHeight:Zr,timeColumnWidth:$r,timeCellHeight:xr,controlItemBgActive:Xr,marginXXS:hr,pickerDatePanelPaddingHorizontal:Fr}=n,Yr=M*7+Fr*2,aa=(Yr-ge*2)/3-v-ve,Qr=(Yr-ge*2)/4-v;return{[r]:{"&-panel":{display:"inline-flex",flexDirection:"column",textAlign:"center",background:Ct,border:`${je}px ${Ve} ${Le}`,borderRadius:ct,outline:"none","&-focused":{borderColor:ut},"&-rtl":{direction:"rtl",[`${r}-prev-icon,
+      &-in-view${a}-range-hover-end::after`]:{insetInlineEnd:(Ut-v)/2,borderInlineEnd:`${Te}px dashed ${fe}`,borderStartEndRadius:M,borderEndEndRadius:M},"&-disabled":{color:Bt,pointerEvents:"none",[m]:{background:"transparent"},"&::before":{background:Yt}},[`&-disabled${a}-today ${m}::before`]:{borderColor:Bt}}},ra=n=>{const{componentCls:r,pickerCellCls:a,pickerCellInnerCls:m,pickerYearMonthCellWidth:v,pickerControlIconSize:H,cellWidth:M,paddingSM:ve,paddingXS:ge,paddingXXS:Te,colorBgContainer:Ct,lineWidth:je,lineType:Ve,borderRadiusLG:ct,colorPrimary:ut,colorTextHeading:fe,colorSplit:Le,pickerControlIconBorderWidth:mt,colorIcon:Ut,textHeight:Bt,motionDurationMid:Yt,colorIconHover:$t,fontWeightStrong:Jt,cellHeight:Mt,pickerCellPaddingVertical:jn,colorTextDisabled:In,colorText:Wn,fontSize:$n,cellHoverWithRangeBg:lr,motionDurationSlow:cr,withoutTimeCellHeight:Cr,pickerQuarterPanelContentHeight:tr,colorLink:Gn,colorLinkActive:Xn,colorLinkHover:ir,cellRangeBorderColor:ur,borderRadiusSM:_n,colorTextLightSolid:mr,cellHoverBg:Vr,timeColumnHeight:Zr,timeColumnWidth:$r,timeCellHeight:xr,controlItemBgActive:Xr,marginXXS:hr,pickerDatePanelPaddingHorizontal:Fr}=n,Yr=M*7+Fr*2,aa=(Yr-ge*2)/3-v-ve,Qr=(Yr-ge*2)/4-v;return{[r]:{"&-panel":{display:"inline-flex",flexDirection:"column",textAlign:"center",background:Ct,border:`${je}px ${Ve} ${Le}`,borderRadius:ct,outline:"none","&-focused":{borderColor:ut},"&-rtl":{direction:"rtl",[`${r}-prev-icon,
               ${r}-super-prev-icon`]:{transform:"rotate(45deg)"},[`${r}-next-icon,
-              ${r}-super-next-icon`]:{transform:"rotate(-135deg)"}}},"&-decade-panel,\n        &-year-panel,\n        &-quarter-panel,\n        &-month-panel,\n        &-week-panel,\n        &-date-panel,\n        &-time-panel":{display:"flex",flexDirection:"column",width:Yr},"&-header":{display:"flex",padding:`0 ${ge}px`,color:me,borderBottom:`${je}px ${Ve} ${Le}`,"> *":{flex:"none"},button:{padding:0,color:Ut,lineHeight:`${Bt}px`,background:"transparent",border:0,cursor:"pointer",transition:`color ${Yt}`,fontSize:"inherit"},"> button":{minWidth:"1.6em",fontSize:$n,"&:hover":{color:$t}},"&-view":{flex:"auto",fontWeight:Jt,lineHeight:`${Bt}px`,button:{color:"inherit",fontWeight:"inherit",verticalAlign:"top","&:not(:first-child)":{marginInlineStart:ge},"&:hover":{color:ut}}}},"&-prev-icon,\n        &-next-icon,\n        &-super-prev-icon,\n        &-super-next-icon":{position:"relative",display:"inline-block",width:H,height:H,"&::before":{position:"absolute",top:0,insetInlineStart:0,display:"inline-block",width:H,height:H,border:"0 solid currentcolor",borderBlockStartWidth:mt,borderBlockEndWidth:0,borderInlineStartWidth:mt,borderInlineEndWidth:0,content:'""'}},"&-super-prev-icon,\n        &-super-next-icon":{"&::after":{position:"absolute",top:Math.ceil(H/2),insetInlineStart:Math.ceil(H/2),display:"inline-block",width:H,height:H,border:"0 solid currentcolor",borderBlockStartWidth:mt,borderBlockEndWidth:0,borderInlineStartWidth:mt,borderInlineEndWidth:0,content:'""'}},"&-prev-icon,\n        &-super-prev-icon":{transform:"rotate(-45deg)"},"&-next-icon,\n        &-super-next-icon":{transform:"rotate(135deg)"},"&-content":{width:"100%",tableLayout:"fixed",borderCollapse:"collapse","th, td":{position:"relative",minWidth:Mt,fontWeight:"normal"},th:{height:Mt+jn*2,color:Wn,verticalAlign:"middle"}},"&-cell":Object.assign({padding:`${jn}px 0`,color:In,cursor:"pointer","&-in-view":{color:Wn}},Ir(n)),[`&-date-panel ${r}-cell-in-view${r}-cell-in-range${r}-cell-range-hover-start ${m},
+              ${r}-super-next-icon`]:{transform:"rotate(-135deg)"}}},"&-decade-panel,\n        &-year-panel,\n        &-quarter-panel,\n        &-month-panel,\n        &-week-panel,\n        &-date-panel,\n        &-time-panel":{display:"flex",flexDirection:"column",width:Yr},"&-header":{display:"flex",padding:`0 ${ge}px`,color:fe,borderBottom:`${je}px ${Ve} ${Le}`,"> *":{flex:"none"},button:{padding:0,color:Ut,lineHeight:`${Bt}px`,background:"transparent",border:0,cursor:"pointer",transition:`color ${Yt}`,fontSize:"inherit"},"> button":{minWidth:"1.6em",fontSize:$n,"&:hover":{color:$t}},"&-view":{flex:"auto",fontWeight:Jt,lineHeight:`${Bt}px`,button:{color:"inherit",fontWeight:"inherit",verticalAlign:"top","&:not(:first-child)":{marginInlineStart:ge},"&:hover":{color:ut}}}},"&-prev-icon,\n        &-next-icon,\n        &-super-prev-icon,\n        &-super-next-icon":{position:"relative",display:"inline-block",width:H,height:H,"&::before":{position:"absolute",top:0,insetInlineStart:0,display:"inline-block",width:H,height:H,border:"0 solid currentcolor",borderBlockStartWidth:mt,borderBlockEndWidth:0,borderInlineStartWidth:mt,borderInlineEndWidth:0,content:'""'}},"&-super-prev-icon,\n        &-super-next-icon":{"&::after":{position:"absolute",top:Math.ceil(H/2),insetInlineStart:Math.ceil(H/2),display:"inline-block",width:H,height:H,border:"0 solid currentcolor",borderBlockStartWidth:mt,borderBlockEndWidth:0,borderInlineStartWidth:mt,borderInlineEndWidth:0,content:'""'}},"&-prev-icon,\n        &-super-prev-icon":{transform:"rotate(-45deg)"},"&-next-icon,\n        &-super-next-icon":{transform:"rotate(135deg)"},"&-content":{width:"100%",tableLayout:"fixed",borderCollapse:"collapse","th, td":{position:"relative",minWidth:Mt,fontWeight:"normal"},th:{height:Mt+jn*2,color:Wn,verticalAlign:"middle"}},"&-cell":Object.assign({padding:`${jn}px 0`,color:In,cursor:"pointer","&-in-view":{color:Wn}},Ir(n)),[`&-date-panel ${r}-cell-in-view${r}-cell-in-range${r}-cell-range-hover-start ${m},
         &-date-panel ${r}-cell-in-view${r}-cell-in-range${r}-cell-range-hover-end ${m}`]:{"&::after":{position:"absolute",top:0,bottom:0,zIndex:-1,background:lr,transition:`all ${cr}`,content:'""'}},[`&-date-panel
         ${r}-cell-in-view${r}-cell-in-range${r}-cell-range-hover-start
         ${m}::after`]:{insetInlineEnd:-(M-Mt)/2,insetInlineStart:0},[`&-date-panel ${r}-cell-in-view${r}-cell-in-range${r}-cell-range-hover-end ${m}::after`]:{insetInlineEnd:0,insetInlineStart:-(M-Mt)/2},[`&-range-hover${r}-range-start::after`]:{insetInlineEnd:"50%"},"&-decade-panel,\n        &-year-panel,\n        &-quarter-panel,\n        &-month-panel":{[`${r}-content`]:{height:Cr*4},[m]:{padding:`0 ${ge}px`}},"&-quarter-panel":{[`${r}-content`]:{height:tr},[`${r}-cell-range-hover-start::after`]:{insetInlineStart:Qr,borderInlineStart:`${je}px dashed ${ur}`,[`${r}-panel-rtl &`]:{insetInlineEnd:Qr,borderInlineEnd:`${je}px dashed ${ur}`}},[`${r}-cell-range-hover-end::after`]:{insetInlineEnd:Qr,borderInlineEnd:`${je}px dashed ${ur}`,[`${r}-panel-rtl &`]:{insetInlineStart:Qr,borderInlineStart:`${je}px dashed ${ur}`}}},[`&-panel ${r}-footer`]:{borderTop:`${je}px ${Ve} ${Le}`},"&-footer":{width:"min-content",minWidth:"100%",lineHeight:`${Bt-2*je}px`,textAlign:"center","&-extra":{padding:`0 ${ve}px`,lineHeight:`${Bt-2*je}px`,textAlign:"start","&:not(:last-child)":{borderBottom:`${je}px ${Ve} ${Le}`}}},"&-now":{textAlign:"start"},"&-today-btn":{color:Gn,"&:hover":{color:ir},"&:active":{color:Xn},[`&${r}-today-btn-disabled`]:{color:In,cursor:"not-allowed"}},"&-decade-panel":{[m]:{padding:`0 ${ge/2}px`},[`${r}-cell::before`]:{display:"none"}},"&-year-panel,\n        &-quarter-panel,\n        &-month-panel":{[`${r}-body`]:{padding:`0 ${ge}px`},[m]:{width:v},[`${r}-cell-range-hover-start::after`]:{borderStartStartRadius:_n,borderEndStartRadius:_n,borderStartEndRadius:0,borderEndEndRadius:0,[`${r}-panel-rtl &`]:{borderStartStartRadius:0,borderEndStartRadius:0,borderStartEndRadius:_n,borderEndEndRadius:_n}},[`${r}-cell-range-hover-end::after`]:{borderStartStartRadius:0,borderEndStartRadius:0,borderStartEndRadius:_n,borderEndEndRadius:_n,[`${r}-panel-rtl &`]:{borderStartStartRadius:_n,borderEndStartRadius:_n,borderStartEndRadius:0,borderEndEndRadius:0}}},"&-year-panel,\n        &-month-panel":{[`${r}-cell-range-hover-start::after`]:{insetInlineStart:aa,borderInlineStart:`${je}px dashed ${ur}`,[`${r}-panel-rtl &`]:{insetInlineEnd:aa,borderInlineEnd:`${je}px dashed ${ur}`}},[`${r}-cell-range-hover-end::after`]:{insetInlineEnd:aa,borderInlineEnd:`${je}px dashed ${ur}`,[`${r}-panel-rtl &`]:{insetInlineStart:aa,borderInlineStart:`${je}px dashed ${ur}`}}},"&-week-panel":{[`${r}-body`]:{padding:`${ge}px ${ve}px`},[`${r}-cell`]:{[`&:hover ${m},
             &-selected ${m},
             ${m}`]:{background:"transparent !important"}},"&-row":{td:{"&:before":{transition:`background ${Yt}`},"&:first-child:before":{borderStartStartRadius:_n,borderEndStartRadius:_n},"&:last-child:before":{borderStartEndRadius:_n,borderEndEndRadius:_n}},"&:hover td":{"&:before":{background:Vr}},"&-range-start td,\n            &-range-end td,\n            &-selected td":{[`&${a}`]:{"&:before":{background:ut},[`&${r}-cell-week`]:{color:new Qa.C(mr).setAlpha(.5).toHexString()},[m]:{color:mr}}},"&-range-hover td:before":{background:Xr}}},"&-date-panel":{[`${r}-body`]:{padding:`${ge}px ${Fr}px`},[`${r}-content`]:{width:M*7,th:{width:M,boxSizing:"border-box",padding:0}}},"&-datetime-panel":{display:"flex",[`${r}-time-panel`]:{borderInlineStart:`${je}px ${Ve} ${Le}`},[`${r}-date-panel,
           ${r}-time-panel`]:{transition:`opacity ${cr}`},"&-active":{[`${r}-date-panel,
-            ${r}-time-panel`]:{opacity:.3,"&-active":{opacity:1}}}},"&-time-panel":{width:"auto",minWidth:"auto",direction:"ltr",[`${r}-content`]:{display:"flex",flex:"auto",height:Zr},"&-column":{flex:"1 0 auto",width:$r,margin:`${Te}px 0`,padding:0,overflowY:"hidden",textAlign:"start",listStyle:"none",transition:`background ${Yt}`,overflowX:"hidden","&::after":{display:"block",height:Zr-xr,content:'""'},"&:not(:first-child)":{borderInlineStart:`${je}px ${Ve} ${Le}`},"&-active":{background:new Qa.C(Xr).setAlpha(.2).toHexString()},"&:hover":{overflowY:"auto"},"> li":{margin:0,padding:0,[`&${r}-time-panel-cell`]:{marginInline:hr,[`${r}-time-panel-cell-inner`]:{display:"block",width:$r-2*hr,height:xr,margin:0,paddingBlock:0,paddingInlineEnd:0,paddingInlineStart:($r-xr)/2,color:Wn,lineHeight:`${xr}px`,borderRadius:_n,cursor:"pointer",transition:`background 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&:focus`]:Object.assign({},(0,na.M1)((0,Hn.TS)(n,{activeBorderColor:H,activeShadow:M}))),[`${r}-active-bar`]:{background:H}}}}},Ia=n=>{const{componentCls:r,antCls:a,controlHeight:m,fontSize:v,paddingInline:H,colorBgContainer:M,lineWidth:ve,lineType:ge,colorBorder:Te,borderRadius:Ct,motionDurationMid:je,colorBgContainerDisabled:Ve,colorTextDisabled:ct,colorTextPlaceholder:ut,controlHeightLG:me,fontSizeLG:Le,controlHeightSM:mt,paddingInlineSM:Ut,paddingXS:Bt,marginXS:Yt,colorTextDescription:$t,lineWidthBold:Jt,lineHeight:Mt,colorPrimary:jn,motionDurationSlow:In,zIndexPopup:Wn,paddingXXS:$n,paddingSM:lr,textHeight:cr,cellActiveWithRangeBg:Cr,colorPrimaryBorder:tr,sizePopupArrow:Gn,borderRadiusXS:Xn,borderRadiusOuter:ir,colorBgElevated:ur,borderRadiusLG:_n,boxShadowSecondary:mr,borderRadiusSM:Vr,colorSplit:Zr,cellHoverBg:$r,presetsWidth:xr,presetsMaxWidth:Xr,boxShadowPopoverArrow:hr,colorTextQuaternary:Fr}=n;return[{[r]:Object.assign(Object.assign(Object.assign({},(0,oo.Wf)(n)),Ur(n,m,v,H)),{position:"relative",display:"inline-flex",alignItems:"center",background:M,lineHeight:1,border:`${ve}px 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@@ -46,7 +46,7 @@
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${c.paddingInline}px`,color:c.colorText,fontWeight:"normal",fontSize:c.fontSize,textAlign:"center",backgroundColor:c.colorFillAlter,border:`${c.lineWidth}px ${c.lineType} ${c.colorBorder}`,borderRadius:c.borderRadius,transition:`all ${c.motionDurationSlow}`,lineHeight:1,[`${p}-select`]:{margin:`-${c.paddingBlock+1}px -${c.paddingInline}px`,[`&${p}-select-single:not(${p}-select-customize-input)`]:{[`${p}-select-selector`]:{backgroundColor:"inherit",border:`${c.lineWidth}px ${c.lineType} transparent`,boxShadow:"none"}},"&-open, &-focused":{[`${p}-select-selector`]:{color:c.colorPrimary}}},[`${p}-cascader-picker`]:{margin:`-9px -${c.paddingInline}px`,backgroundColor:"transparent",[`${p}-cascader-input`]:{textAlign:"start",border:0,boxShadow:"none"}}},"&-addon:first-child":{borderInlineEnd:0},"&-addon:last-child":{borderInlineStart:0}},[`${t}`]:{width:"100%",marginBottom:0,textAlign:"inherit","&:focus":{zIndex:1,borderInlineEndWidth:1},"&:hover":{zIndex:1,borderInlineEndWidth:1,[`${t}-search-with-button &`]:{zIndex:0}}},[`> ${t}:first-child, ${t}-group-addon:first-child`]:{borderStartEndRadius:0,borderEndEndRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}-affix-wrapper`]:{[`&:not(:first-child) ${t}`]:{borderStartStartRadius:0,borderEndStartRadius:0},[`&:not(:last-child) ${t}`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}:last-child, ${t}-group-addon:last-child`]:{borderStartStartRadius:0,borderEndStartRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`${t}-affix-wrapper`]:{"&:not(:last-child)":{borderStartEndRadius:0,borderEndEndRadius:0,[`${t}-search &`]:{borderStartStartRadius:c.borderRadius,borderEndStartRadius:c.borderRadius}},[`&:not(:first-child), ${t}-search &:not(:first-child)`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`&${t}-group-compact`]:Object.assign(Object.assign({display:"block"},(0,o.dF)()),{[`${t}-group-addon, ${t}-group-wrap, > ${t}`]:{"&:not(:first-child):not(:last-child)":{borderInlineEndWidth:c.lineWidth,"&:hover":{zIndex:1},"&:focus":{zIndex:1}}},"& > *":{display:"inline-block",float:"none",verticalAlign:"top",borderRadius:0},[`
         & > ${t}-affix-wrapper,
         & > ${t}-number-affix-wrapper,
         & > ${p}-picker-range
@@ -81,7 +81,7 @@
       & > ${p}-cascader-picker:last-child ${t},
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"},81378:function(fn){fn.exports="data:image/png;base64,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"},81378:function(fn){fn.exports="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALAAAAA8CAYAAADGxTD9AAAAAXNSR0IArs4c6QAAFoFJREFUeF7tXQl4k1W6fv8sTbqvlJa2tJSy74ugsiMqq4AKIlDUueNwR2dGHR0XdLwixW3uuF6Xq3O9o15nxuUiIIsCsijK1pa20NJ937eke5tmmec7f/40TfInaUNK6+R7nj5Jk7Of93z/t55w8JBnBYbwCnBDeOyeoXtWAB4Ae0AwpFeA+1SWbbA1A07KQSID6JWT0ivAyThIpBwgBSQy4+fCq0T4jANnrEdlWFkpjK/0ndAetd/znpMaTO0LZcz74tsxti0xjqVXfeNYZcZyxvHSuK3GbDYX03iMbbLy5nOz+pzGbGDrwpfj52DQG2DQAwad8Gcwvudf9ToDQN/pDdBrDYBFWfqMry/UAytP9fjPjJ/rYVHf2L7Qph4GaA0tOj1UnBYqvd6gMugMKr0OKoOOq+UMhhQ5DGfHPRNWMaSRaxy8bQBzPGAZAI3AFMAoAIJtnBnA2WaagdlU39iOAKKeje85FKY2TYDkwWh+APi2ebD0AJ8HMn/AzAHFA4x9Jxwss7bN5yXUpbnwB4SvY3Nu9LmwLr36NIKWAEhA1BlMgOUBCAZYBtJe761Byx+A3vV54Av1efDrtUawm4G+N+D5MfUcHH5s7H890KnqNjRWNGkaqlXqhgp1VV1JwxkOSJUAqUB0xk4s0Q4FgIty4KEweM8Yba+ARCmBzBuQeksgVXKQKugVkAdIoRwhhU+EHJycg0GrNz01Whs6UJhegtLsCmi7tI0GYC8H7osYTPhuO2Z3D9a19gB4sO6Mm8flFSKBd4QcyuFS+MbKIfOWMM6v69KjIq8WhVlFaKpvAQeuFsCr/gh45wmsbXHzsPrcvAfAfV6yn18FjgN8YmUInKiAd4TMJObUlNQj42wWutq7SNtXA9zrIVC88nts7Bgsq+AB8GDZiUEyDrm/BAFj5PBLUAASniNnpeSgvLCSjZADl8dBev8ubD41GIbsAfBg2IVBOAaSnUNnK6GM5DlyQ5UKmSlZ6GjvJBiT5epdGRSP7MRGzbUcvgfA13L1h0DfPtFyBE9VMKuMVqNH2rl0NNapBG78vQ98b9+B2xuu1VQ8AL5WKz+E+pV6cQiaqoAyXAp9tx5pyZfQUNdoBDEKAG5VEhJzrsWUPAC+Fqs+RPsMnOgF3xg5dBod0i9eRmM9D2IAFYB03m5sKRnoqXkAPNArPsT7CxingE+UFDqdHpfSMtHYYJIecn2hnL8DG+sGcooeAA/kav9M+gpIkEMZJYdBq0PqxXS0NDcLMvEFKRTzB1Kx8wD4ZwKqgZ6G/2g5vCPlaGttR+rFZMaRiSSQvLILW58YqPF4ADxQK/1z64cDs05IlByqqiqRX5gvKHV6gLspCYknB2LKHgAPxCr/TPuQ+XAImOQFzsDh0pVLUDcJ5jWUSaGcuBMbW9099WsOYDKYU8Qbi5zqshnZ6e41uGrtSxScU3NQhErR1UBhae4hstkaBiiWzDtSykSJri4NLmYmQ6s1dfz6bmx7xD0z7Gn1mgN4bX48CyapP9eBI/NLXZ5v3JYAzHlnOGvnyMJSqNO7TG36xMjYe41KB22r+GGR+nC48aNIVrb4780o2+OYkYTOVWLRnijk/JcKee+qoVHzMqE5zXlvOGLW+0MRIsXBGUVouuweJ9bys7HwjpJBldaJk2vcH/brP9aLRb1V11aisLzAKEpwWimks3Zic4bLm2qngUED4K5GHWpOttuda+U3bSj83ya7ZeLvCcD1f+HBd3hOMVQXeQDL/DhsVI1l71MerUXOm/zjzhYRV1lfmsC+Sn28FtmviZcV6t/wUSRGbQ5g/575RRWKPuE1c3Ma8+sgXPcmf7gynqvH5d3OO7DkARIowigzwDEtPxcLryApmrK7cGqtYwB31evQ3Wx94Bz3xJcgOThwrBd0Wj1Ssi6gW8sfTA44swuJ8zje9ewWGjQAdmZ2OW+rkPIwRfeJ09UAsH+CHGuuxLNOzj9Yjfz37R8axTAp1hWPBnmsOuu02BtXCL3Ges8IhOvLRkPmI0FjSie+ud55u//YB4Iw+w0e/Febkh+qQe47apea9Y2VQeYrQXlNGcpqeubFQfKrJGz9wKXG7VQeNADuqNKi6FNrrmU+9rqfOlDxtf3HudMAfkuFmPV+iN0QgMyXG6BK6xE1gqYpsDI5jnX9071VKHYwrklPhWDa88NY+csvNiDj2XrRJZ/7fgRG3xfIvv8qrgAdFc4Jq4MdwHQoCcQkA6fmXIBOz8v4HNAog2zcc9gsviguoNutAKZHsdRHYnd4y76LgU+UHKr0TvxwFx+y54iIu7WX9Ww8SwGS8/mp8YkBmPNuBHv/7fwSHph6A0jBshQhVqbGIWiKAgUfqnFue42p22HzvHHzyZHs/+83VKB8r/ihoRQjkuMp6IVShvYlFGLyjlCEzVXanIZXiJS5Y4laizSij+78/2lisrRA8kAJCz53RKO2BLL+ic5tr0btaftiGZXrrNGhu6n/IoQwJt+RMrbOJTVFqG4030vJX3dj632Oxt6f790K4CWHohF5s29/xmW3DoH98Oyex9TY3wRh9mvij1f15S4cWVBiBWCBW2vb9fhqZIFpEyNv9sGSQzFsDCdWlqHqqDgIiIsv+DyKlS39/xac3lSJpd9EI+Im1+Z9+YUGZPyHbaYVMlOB0DneNtdo5J3+GL7Ih31HcraYtYPmXPSx/SdeXzeORAifETJ0dnYivTgFBoMgRpEMLF24G5tP97VNR+WHJIBL97TgtBm37i+AJV4c1hbEsywEc8XOHJRHl5Si7rTtBASZLwfi4n7xXmydT60rR8XBNkx/IQwhM3s4cMgsJVOqCDT1Z5xLZij6W7MowMxFFkcbLPZ9R7UWX8XwFoOrSd4jOUilMuRWZkHdZq78cpdliJ5xtZNFBwTAxAW+u7nMap1uOhbDTEo1p9qR8oh95Ywe9YJp68fESpT8oyc9K+x6JUas8GPtB09TIGoV/55Eg45qHTprtSj8qMmmFWLKs6GY8scwNOdqcGBSEas3KjEAN3xotGRcV9xLPjafBJ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diff --git a/p__Declaration__Research__TeachMeeting__Edit__index.fabf1966.async.js b/p__Declaration__Research__TeachMeeting__Edit__index.1dff1fb5.async.js
similarity index 81%
rename from p__Declaration__Research__TeachMeeting__Edit__index.fabf1966.async.js
rename to p__Declaration__Research__TeachMeeting__Edit__index.1dff1fb5.async.js
index 62eb02e82c..71880ab08b 100644
--- a/p__Declaration__Research__TeachMeeting__Edit__index.fabf1966.async.js
+++ b/p__Declaration__Research__TeachMeeting__Edit__index.1dff1fb5.async.js
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Ol0s3geWZkgw+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",Ne="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=",B="data:image/png;base64,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",x="data:image/png;base64,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",tt="data:image/png;base64,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",Ee="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAFNBJREFUeF7tW2d4VVXWfs9NJUAMgQQCIzUhdARGQ2/SizAOAUTsNEF4BHVGBPxE2ki3jA6oKCpNNEpJjBQlCoSSUEIgECRAQnoICenlnvM9e+29T7m5CQ7wfN8friW59+y97znr3e9a71prR7kdv1lTFAVQFCiKjf9k/7DPwN7Ka/RGfO74k4/TAGiKAhvNBDSbWEOjqXTtTi+bylYR89mK/F9A0/Sf7BNNo2/jn9OvfB77nP6Tc9nnmgpNU+m6yn6yoaoGdseaKtcSY+R88ZOtq9DX8Hl8ffa7/F6VP7dpPL8fth6/R3mNPT19ZrpX8XTG8wHpNqiHFMXlH38ZsfiGkn/uSwKIA2EzAJEgsY9hBYk+ofHsXz6H3QrHQ4HqDCRp9TuApAiDkLHFA0lYueElGAZI7HNuRPmZ4+/MoNJgVmMqAiC+rp2ML41oNjq7Lw4Qv24eIzdPzSDxuTWCRGByQ9mg5SqKrbOSxwAig7NdzhjEDc7teGcm0XjJNNPP/xuQpDEFnCaQ+O4VO1YyTux+yzXGJBNrABWaylgh2WmAIcdx9lhB0lnuDLy7YBLZFOo2JS9uk3BxzNBWJllAItfHacIZJdyfZJcDmBZ3Z3JvupO7b0wymEHbr0YmGe7OzDZydzr7uAurlknkgvlOd8YmC/iOYJk2itg9JjcofYbhzm1AupJ3dpNGcYMMxgEyuzsrSMLdOQGJxywr42oGiYNc08vs7iiCMFfGn0xiQa6rKlPEQzrEJX2cCQBpUAaSsLpYX4CkA1Izkywur0pMMtiox09xbyq5ZwN0xmAyDLtHZs9bZz7XRQIngzMmmQSDdGP/DyAZ8UeICD0m8YfixuaMssYkueNNhnBkCVcQOkjcxd0DSOLeqsQqk7uziAWnwkGFknfqM42iu67WHBSaHpMMkKTCM9ydEbOcqcB7dnekuIwX7TqnTGIgCYUl5Z+u6syskmwwAr6urpjidIxJumqzxh5nMelPM0lXmqZYWQUkRQDEo3wNIHEJbpHeXLQiPfEsfP/SCrW8fXVh4QhS8rloePs3wUMBzbkEv5uYZAKJyK+rcY02PseLMcmQ3apaCUVxEZLYUXqzkVIuy7gjGeQAEjGJKTyrlOcS3EEsVHkvXbLJzVninVV5Wt2dBiU3dqNJZjsBScQkQ2rzLIeBVVFWjLDFL6L3s6/j4fYhIk/SYK+osORLPy6fjqAew9Bu4JM0hq2g2GxQ3Nz5WvL/CpCReBaZV+KdhiYDFIIBDVt1REBgRwLFAIkb8cqJg0j4bRf6v7QAXt71CSS1sgKnf/pGJlYixxLoSncJDR51fRDcY4Th7kgRVKKkIA8FNzNwK/UqcpITkZeZgoFT3kbWlXjkJF+WfldyW09xavs2RPPOvatKcwegdI1tiklKbsx/NM4OnqQKzawnpUaiaoiAa7FR8H04ELV9GiDs3RfR55nX4dO4GQ5ueAf9XpiPn9a9XnP0B9Dir/3R++l5ejIrgTod/jXi9+9E3foNa1yj4GYmOg2diM5Dn9LdH3N9QjGg4GYaojatQEVZCfpPXQSfBk1QWV6KHQsno37TQHh4edPQ7GsJ8PCqC2//xmSfwpwM2NzcMGjGEjIw29Exuz5DyoWTsFeU0xwXV1fUa9wCvk1aoXnXvrgcHYmU+OPwaxpsgMOJg1sZ11G3fiM8OmaqsSGc5lGcScRImsvjpXLz5Mc6QFK9SRckFZ2u0CgTVRC9bT38W7RD86798MOSl9Br8jy6scTDERg47W0U5eda8qh9H85Hi279ENRrOKlF9tWunl7wquNTxd2dCf8KiUd+xvgVW6sFiCWX2+ZPQLt+Y9Bp2CSTumNx3gCpsqwEh75YgVupSRgwZSF8Gj6M7QueRv+X3kKjoEdo3r6P3oR/y/b6OvEHv0NqQgwGvbyUr6sBNy6cQHH+TXj5NEDs7k1o3XM4gkIGi72gIW7fduRcu4QBLy0EJb6m6kHM7k2wV5ZzgGpQd+aqgxkk5eaJjzVewmGkcbEwiclvC0ji/aUj4bideQNdR72gA5SXdg2VFaXoMup5pMafwM3UJAEScOlwBMUp/xZtCRwGc4fB4+Hi7lklJjGALt8BIPag2/85ngB6ZNgk2Fl6JoHRk1OepNorSnDi+43oNGQi3GvXwY63nkbHwaHwbdySDHlqz2b4BDRDi679aHzyuSP0bINmLtNdErlWsev3rJmDoB5D0TpkiJ4Hxe3fjpyrDKBFhlQX40/u+ZyY99jYac4rHaL0Y+RlViYpOcc/0lg84DmMFSRNiAczSOz3nOuJOLX3Cwyc+g5+XDoVvZ6ei6sxh9CsS280e6Q3+X/mOkQtCClxx+Dt15gMIV/dx82AzcNL1P5ELU8BdICWb60xT2IAte03Bl2GTeKlNfZtQt2Z5TivwfGHtpeXYftbk+BZxxsurjz+lRTegouLO9xqedH7itJict2DZy23VAukbN+zejZa9xyGoJAhAjQVcfu2ITMpAT0nzuEMMhk97sAOev/Y36YbYsWs1pyIDHm/9DwMIMciqGNMcmSSWlmOmB8/R5cxL2D30ukEUEVJMRoFdYSXj58ex6Rr/HHJFLTuPQIdHh/HGUoBh1cmKM2UtTsFOB3xNS5G7UWvyXNrBOjw5jVoP+hJPDJ0Eq9v8QwIankZbqVd1eMtW75B00AaUckAmj8JA6YuREBgZ7qNyA/+iYat2qPz8KdpTvyBnUi9cAJDXlmhA/T7VytRdDOTxhfm5cDD0wtunl70nY9PfRvMLSbFRlXrkv2atUHIk9Or1vhMxVNr/c9IvpXsYx/yRFUoK6OaYBUOZpByU68AqkoPfPjr1egwOBT+zdvB3asOKafrpw9Xe7PmC6Pf/Ag+/g/rILG7OBPBRcKfeXUa/hQZlu1aCdKtrBTsWT7TMn3yqu8Bm41Ewvb5T6H7+Fnwa9mWEtPfNq+EX7PWaNPvCR5Hj/yErKQLGDJ7hb7jmQgoKbyN8uIC8hR+LdrCt0lLAr1t71EoK76N0qICQwRQwkupM4Hi4uYBr4d8q9bvzLJd5aDw5FhUzxkmWdEfWGS2Xuohl2cGSQFzeex6+KrZKC8urGLDRkGd0G3MFJSXFOrVbskUThRRFWeRRwEeatgUru7M1bC1xSaxV8JOUUUQTTDMGWA2mysUF1cyhoxB9soK5OdmUHBPOXsUpyO+AQOIjassL8G2NyfeEXufgKYY8sp7nN+mpPXSkQic+3k7gnsOQ4dBE3QXx3Ik8zgKWaoKmyl28RhjKks5Flxle8RSWlKhZB59XwfILKmN2poBkoxJbCcyc6YlxCB21yZ0HfMCmnbsAcXmAjcPL6RfPoPsKxd0kSBjEdlaGPyR4ZOhuLqJ9/yKDpIERZQP5JyaLMsA4Ume4e6Sjh/A0W0fYPLq76HYXGlnlhXlmXpJwIEN75B46TAoVDey4sKfQy8dCaNFrn+D8iDFpqD7uJlo3KYbyevYPV+IW5MKsuqdNu/cC+36/a1akMw1QTOQSuaR9XoMMgqlpqKp6PfIPImMKJgUtWkpclOuwLOuDx6fsRheD9WneHIuchuSTv6CgLZddUDkLRfmZpEknbBiK1zdatH4/PRrCF/3mlP7e9cPwOgFn6C8KB87Fz1XLUaj53N3ydydBOny8f2I3vYBnlkdBmb0suIi3e1IWXvgk7fh17IdOg2ZQM07msuCs2KDi7uH3kfKTIrH+QPfoSAnHQHBXZCWEIseobNQy8cPN5MT9QLr7Zx0JB6NRHDvEajN4rGQ6rV9/eHTsKnu5mQ7w9q64NUNngLxBqGSdXi9pon6izNJzZnEWSQZxkDKTbuC2LCNKLqVjWade1JWPWDqItp5cZHbkfHHWQybs4oeWM5jaF0//Tuit3+ICcu3kMxmdYW89OsIX/Mq2g0YS2pPVm5S4o6iICcDYxZ9ijIG0FuTEdRzKOo3DdKBYnMvRu3BEws/wUMMIPZ9wtAMIM6gMGiqHVv+EXpH9yYHMDc3bM5KIdXLsO/fC9B19POI3vY+WvcZCZvNBecPhmHIzCXwqltfNBftyLp6AYe3rEPf595AvYAWJqlulKB0d0ehytp3MtcEqcGX9fs6YpBKYcF53uMIkqraEbV5BZVvTn7/H3SfMBsp547BXlGKXpNfR/z+b5EYHYladX2ssQQKBeqy4kKMX7YFrmyHKgry0pIRsXYuhsxahoatOtAclUnu3V+C1fHMAPV9/g0069pPXzftYiwOfvw/OkCSPiwm/XF8P44wgNaEwabYkJp4Rs/QMxLP0drsVbueP7KvJuDRv09DLZY8s0Ta3RP1m7am30+Hf4X8zGT0fe5N7Fo+HcF9RqF1r+GIP/g92vcfi4riIoo5zNzZyZdwbOcn6DlxNnwaGYxx96zNXbCpbV5tYVXEMGJf5m9r9XYDM4pjziMluAGSgviDO3E7Jw2P/v1lhK98BSETXqGyx6+fLsagGYtxOfpnpF6IwaNPzjB1Z3mcyfgjDud/CcP4Zd+QEdiLsSBi7WsEkF/L9rrsjt3zJVLORWPsgo0oLblNDOrDAOrSVy/cOgVI+LikY/sIoGfW/IDiwnx4efvS95UX3caeVXMQEjoTcZFb0TCwI+30W+nXMHAqSzZFJ1YDbmelImL9PCr91GvSEruWTRMAjdDdYfiqOSgtzK+WnS6ubhj52nrh7v4cSBI8JfO3NcQgHtENpVadu8vPTEXUl8sw4MW3UateA1J0IeNnoXHbv9KDs3gUv28HUs4fR6ehTxlNQHH72dcvEYChS78WALEYdB0R617DkJlL4d+qPTWqWEno1B7BoAUbae1vF5oA4r4T1QLECqbH9uPo1vcxat5aHPj0XTwx/yN41qqLqC/+BXtlJfpPWYif1s5Do8CO6DB4HHa/NxvBfUaiXf+xoiIAqgKc3PU5HqM8RsWPS6chuO9IBPcaqbsvBixTj0yosELqmcgt6DryWdT1CxCMVShJ143uhEnVsUnJiFot8iB5MIS7O+YSLO0FcepHtVcgIWo3Og4aj8qyUuxdM4cACmjTDTaqSADn9+/AlZMH4dO4uV6r5vgoFEsKstMRuoQBJFxc+nUqsDJ/zhjE4h2LQ2f2bkZyXDSeWMgB2mkCiK8GpF06VdXFic0gAWJVgoDATug+fiaOffsxMpPOY8TcNajj2xAR6+ahUauO6DL6WaRePEXg8RrfRHFqBVDtlXRWg71+WDqFGNSmNwfIKNHwclDOlfOI+noV+r/wFnybsBhklepWkIz51QKUdmiVxnarHsjZY9sEk6qNSbzzWlFaivC1ryIkdBYC2nbjECgKzu//Fkz1DJ65zDgpJNZKPnMYx3b+G6HvfsVFggLkZSQTQKwA61G7rsQSeenJ9NBjF2xASXEBvls4GQ2aBqGWT33dnZQW5CH76kVrDBJXf9+8Etdif0P7gU8i6LHH8eumFVS4ZG7Y268JjQpfOxeNAjuhyyimEFXcuBBDyWuTtt2odMNKQuYjXAygNn1HI7j3KGj2SpSVFOkgsF2Vc/0Sond8iF6T5sI3oLnRR9I0KifxJNTo3MojXTrQDqArqb+uJAZJkOTulV1WI7k04pOMS4xB7AFDxs3kAAmgJUCsIizleUl+DrKvXcTlo5Gk/MYu+Aw2F97iyGcArWcAtYVHHd4GYPxgsYk90ZgFG1DGGLToGQKIVZUpJwNQdjsPWVcTnAKU8OsPVJIJ7DGU+kwxYZ9i8IzF8PTmWT1bQgdo9PPCHanEpNN7v8KgmUvg7lGb50cikQxb8hIB1KbPE8jPTkHkujeqjT2OF0bNWwdXD0+HGl/V41xmNilpv7xHh0bMIIlEhx90M1W0JUMkaPZyBtA8hIx7mZI2niMpSPg1DFlJ5zFg2juivWRDaWEeDn22hNoMrNDY8tGBOuOK8rKpjM+SVyZvZbnpSswvuHntEh4LnQXWOji8ZQ3aDxwH/5bteGnHpiD3xh84G7GV3JdXPb8ajaVVlMPFxY0Hd5Hv7PtoPhq16kDtBqPIqkK126mpyI0ldj007F39Klr3GIrA7kNJkfKisNnI4hZMvR2Z8Po1C+bu26GKYHRleYnHAlDqL+8Rg6gNYALqz4Kkqzt2iIR9ucldciDFulTekTLe6MpK0GXLw7Fwy6/zmCR7SfQdIgbJ06syJpnKF87B0jRegjGBJM87kOHogii98jc6SDKp5EOsByf5NfOhRlHZsLgs3ja3nlLl7o5LcGtMIpanHvyXXkmQIFlikpOzCrL0YpSG5GFH3rYgozn2koSh+eeOAoTnYHQIRT++JUxuOorsCNLdnm9ghpAgWY9zCcP/tyCZThc5npUz95I4M6jmXgWM6s43KDcOrDCdzWZM4n0hAyRe2JRS3CimVo1J8mSqLturgGSIEWeHUAgcAolZiIF4Z5DkEMkc8/mGmv2dGSSe5etnyh3aztYip9G8k2zTXZJ+VMt8+seRSeZjyLJybWrSibqfYFM6AWR1M7xoSVwwHWJ0BpIhwzmIfLyLUG7isLwzkETrnI83uTt5WtXp0WM5zrm745uCQ0LsYG5b+q7qkPqvmCTijMNxLou7oyEOlW3huqxMMkAyg08uzdTAg4ZtSsr+5UY/yOTOZBPNDBK7LIWAnshyZEx/BcFBMup2ojlnERsKVYS5GHCSb5GVq7o764ao2vCThVwJkqy+18Sk6k+vioBNBzRkTDLOOzCcVNHDkZVog0nVuTAT++RfXDi0IUx5Uq4nPDsryfuWiXYDdydGYZMb3mCS1dVZY4ycK4UAd0+cTWInV8ckPcaYmSTcnP7nLqLgavqrCuaQ+HFla1fWEaQ/w6SaQTIq3PLUqmQNT2rMgsHIcaqPM6IZJ5ty5hOuXLikQ1MPedrd/+HVfeoN5eiGFzcAmFbdLus5fdOdHEWNrv7BxXuzgHL+23fc82+lHAK0Hs6WegDQvRn4XmcTO2I2TAsohz0W0AIcF3wA0L2a+N7m6+7r+Ocv9lDtOKRp4OeRxOsBQPdm4HudbYkvxz6dMk1VVRaTHgB0r5a9T/OrCABH0fCAQffJ0ne5TBWAHEXDA4Du0rL3aZpTCW0WDQ8Auk+Wvstlqs1xpGjoMW2Tx12u/WDafbBAjUkoEw3dp3628T58z4Ml7tIC/wuyLDr7JEtoSQAAAABJRU5ErkJggg==",ie="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",Se="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/F09vMBST6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",Ne="data:image/png;base64,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",B="data:image/png;base64,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",x="data:image/png;base64,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",tt="data:image/png;base64,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",Ee="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,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",ue="data:image/png;base64,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",Se="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/F09vMBST6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f=c=>({"&::-moz-placeholder":{opacity:1},"&::placeholder":{color:c,userSelect:"none"},"&:placeholder-shown":{textOverflow:"ellipsis"}}),k=c=>({borderColor:c.hoverBorderColor}),L=c=>({borderColor:c.activeBorderColor,boxShadow:c.activeShadow,outline:0}),ce=c=>({color:c.colorTextDisabled,backgroundColor:c.colorBgContainerDisabled,borderColor:c.colorBorder,boxShadow:"none",cursor:"not-allowed",opacity:1,"&:hover":Object.assign({},k((0,g.TS)(c,{hoverBorderColor:c.colorBorder})))}),ie=c=>{const{paddingBlockLG:t,fontSizeLG:p,lineHeightLG:y,borderRadiusLG:z,paddingInlineLG:q}=c;return{padding:`${t}px ${q}px`,fontSize:p,lineHeight:y,borderRadius:z}},b=c=>({padding:`${c.paddingBlockSM}px ${c.paddingInlineSM}px`,borderRadius:c.borderRadiusSM}),Ne=(c,t)=>{const{componentCls:p,colorError:y,colorWarning:z,errorActiveShadow:q,warningActiveShadow:Ce,colorErrorBorderHover:Ue,colorWarningBorderHover:Ke}=c;return{[`&-status-error:not(${t}-disabled):not(${t}-borderless)${t}`]:{borderColor:y,"&:hover":{borderColor:Ue},"&:focus, &-focused":Object.assign({},L((0,g.TS)(c,{activeBorderColor:y,activeShadow:q}))),[`${p}-prefix, ${p}-suffix`]:{color:y}},[`&-status-warning:not(${t}-disabled):not(${t}-borderless)${t}`]:{borderColor:z,"&:hover":{borderColor:Ke},"&:focus, &-focused":Object.assign({},L((0,g.TS)(c,{activeBorderColor:z,activeShadow:Ce}))),[`${p}-prefix, ${p}-suffix`]:{color:z}}}},B=c=>Object.assign(Object.assign({position:"relative",display:"inline-block",width:"100%",minWidth:0,padding:`${c.paddingBlock}px ${c.paddingInline}px`,color:c.colorText,fontSize:c.fontSize,lineHeight:c.lineHeight,backgroundColor:c.colorBgContainer,backgroundImage:"none",borderWidth:c.lineWidth,borderStyle:c.lineType,borderColor:c.colorBorder,borderRadius:c.borderRadius,transition:`all ${c.motionDurationMid}`},f(c.colorTextPlaceholder)),{"&:hover":Object.assign({},k(c)),"&:focus, &-focused":Object.assign({},L(c)),"&-disabled, &[disabled]":Object.assign({},ce(c)),"&-borderless":{"&, &:hover, &:focus, &-focused, &-disabled, &[disabled]":{backgroundColor:"transparent",border:"none",boxShadow:"none"}},"textarea&":{maxWidth:"100%",height:"auto",minHeight:c.controlHeight,lineHeight:c.lineHeight,verticalAlign:"bottom",transition:`all ${c.motionDurationSlow}, height 0s`,resize:"vertical"},"&-lg":Object.assign({},ie(c)),"&-sm":Object.assign({},b(c)),"&-rtl":{direction:"rtl"},"&-textarea-rtl":{direction:"rtl"}}),x=c=>{const{componentCls:t,antCls:p}=c;return{position:"relative",display:"table",width:"100%",borderCollapse:"separate",borderSpacing:0,"&[class*='col-']":{paddingInlineEnd:c.paddingXS,"&:last-child":{paddingInlineEnd:0}},[`&-lg ${t}, &-lg > ${t}-group-addon`]:Object.assign({},ie(c)),[`&-sm ${t}, &-sm > ${t}-group-addon`]:Object.assign({},b(c)),[`&-lg ${p}-select-single ${p}-select-selector`]:{height:c.controlHeightLG},[`&-sm ${p}-select-single ${p}-select-selector`]:{height:c.controlHeightSM},[`> ${t}`]:{display:"table-cell","&:not(:first-child):not(:last-child)":{borderRadius:0}},[`${t}-group`]:{"&-addon, &-wrap":{display:"table-cell",width:1,whiteSpace:"nowrap",verticalAlign:"middle","&:not(:first-child):not(:last-child)":{borderRadius:0}},"&-wrap > *":{display:"block !important"},"&-addon":{position:"relative",padding:`0 ${c.paddingInline}px`,color:c.colorText,fontWeight:"normal",fontSize:c.fontSize,textAlign:"center",backgroundColor:c.colorFillAlter,border:`${c.lineWidth}px ${c.lineType} ${c.colorBorder}`,borderRadius:c.borderRadius,transition:`all ${c.motionDurationSlow}`,lineHeight:1,[`${p}-select`]:{margin:`-${c.paddingBlock+1}px -${c.paddingInline}px`,[`&${p}-select-single:not(${p}-select-customize-input)`]:{[`${p}-select-selector`]:{backgroundColor:"inherit",border:`${c.lineWidth}px ${c.lineType} transparent`,boxShadow:"none"}},"&-open, &-focused":{[`${p}-select-selector`]:{color:c.colorPrimary}}},[`${p}-cascader-picker`]:{margin:`-9px -${c.paddingInline}px`,backgroundColor:"transparent",[`${p}-cascader-input`]:{textAlign:"start",border:0,boxShadow:"none"}}},"&-addon:first-child":{borderInlineEnd:0},"&-addon:last-child":{borderInlineStart:0}},[`${t}`]:{width:"100%",marginBottom:0,textAlign:"inherit","&:focus":{zIndex:1,borderInlineEndWidth:1},"&:hover":{zIndex:1,borderInlineEndWidth:1,[`${t}-search-with-button &`]:{zIndex:0}}},[`> ${t}:first-child, ${t}-group-addon:first-child`]:{borderStartEndRadius:0,borderEndEndRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}-affix-wrapper`]:{[`&:not(:first-child) ${t}`]:{borderStartStartRadius:0,borderEndStartRadius:0},[`&:not(:last-child) ${t}`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}:last-child, ${t}-group-addon:last-child`]:{borderStartStartRadius:0,borderEndStartRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`${t}-affix-wrapper`]:{"&:not(:last-child)":{borderStartEndRadius:0,borderEndEndRadius:0,[`${t}-search &`]:{borderStartStartRadius:c.borderRadius,borderEndStartRadius:c.borderRadius}},[`&:not(:first-child), ${t}-search &:not(:first-child)`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`&${t}-group-compact`]:Object.assign(Object.assign({display:"block"},(0,o.dF)()),{[`${t}-group-addon, ${t}-group-wrap, > ${t}`]:{"&:not(:first-child):not(:last-child)":{borderInlineEndWidth:c.lineWidth,"&:hover":{zIndex:1},"&:focus":{zIndex:1}}},"& > *":{display:"inline-block",float:"none",verticalAlign:"top",borderRadius:0},[`
         & > ${t}-affix-wrapper,
         & > ${t}-number-affix-wrapper,
         & > ${p}-picker-range
@@ -79,22 +79,22 @@
       & > ${p}-cascader-picker:first-child ${t}`]:{borderStartStartRadius:c.borderRadius,borderEndStartRadius:c.borderRadius},[`& > *:last-child,
       & > ${p}-select:last-child > ${p}-select-selector,
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Fe=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,xe=0;xe<be.length;xe++){var it=be[xe];if(it[s==null?void 0:s.value]===null)return warning(!1,"`value` in Select options should not be `null`."),!0;if(!Fe&&Array.isArray(it[s==null?void 0:s.options])&&Y(it[s==null?void 0:s.options],!0))break}};re(i)}}var St=null,qt=["id","mode","prefixCls","backfill","fieldNames","inputValue","searchValue","onSearch","autoClearSearchValue","onSelect","onDeselect","dropdownMatchSelectWidth","filterOption","filterSort","optionFilterProp","optionLabelProp","options","children","defaultActiveFirstOption","menuItemSelectedIcon","virtual","direction","listHeight","listItemHeight","value","defaultValue","labelInValue","onChange"],_t=["inputValue"];function ke(i){return!i||(0,L.Z)(i)!=="object"}var Lt=b.forwardRef(function(i,s){var re=i.id,Y=i.mode,be=i.prefixCls,Fe=be===void 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   min-height:0 !important;
   max-height:none !important;
   height:0 !important;
@@ -158,4 +158,4 @@
   top:0 !important;
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DZo7q6+zSmtFGntN6GcwOECwM5gOw+fd6lNW31QG6lADLytTHhwkAOILt0N3cv5XZWe6gXZNqhEGEgB5B2jOfw2LLAvmad3bX2pu1QYSAHkLZM7TDZsYD4NDn2YpJeccHCQA4g7Vja4bFtgeJ6D5WNNqdtcXD8TgM5gLRtaofRjgWa3LC9yl5M0jtK+p0GcgBpx8oOT1QWyKt209Aa2ds2hbpczM7Iwrvr4AAyKlM7zHYsEKVz0+5uIAeQdizs8Ni2gIyL8icxSbeNnZv9go0wkANI26Z2GKOxwJ56D+VRODdmGMgBZDRWdnhtW6C6WWeX/Zjk/jDQ/wHkSLPJ/mcrgQAAAABJRU5ErkJggg=="},57177:function(fn){fn.exports="data:image/png;base64,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diff --git a/p__Declaration__Research__TeachPaper__Edit__index.9de2e5f4.async.js b/p__Declaration__Research__TeachPaper__Edit__index.13622005.async.js
similarity index 86%
rename from p__Declaration__Research__TeachPaper__Edit__index.9de2e5f4.async.js
rename to p__Declaration__Research__TeachPaper__Edit__index.13622005.async.js
index 96c3e8903f..60baf765ea 100644
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+++ b/p__Declaration__Research__TeachPaper__Edit__index.13622005.async.js
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",Me="data:image/png;base64,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",F="data:image/png;base64,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",I="data:image/png;base64,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",_e="data:image/png;base64,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",we="data:image/png;base64,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",Ge="data:image/png;base64,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",it="data:image/png;base64,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",Ie="data:image/png;base64,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",bt="data:image/png;base64,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",A="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/F09vMBST6Y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",Me="data:image/png;base64,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",F="data:image/png;base64,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",I="data:image/png;base64,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",_e="data:image/png;base64,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",we="data:image/png;base64,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",Ge="data:image/png;base64,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",it="data:image/png;base64,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",Ie="data:image/png;base64,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",bt="data:image/png;base64,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",A="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/F09vMBST6Y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diff --git a/p__Declaration__Research__TeachProject__Edit__index.fe544c16.async.js b/p__Declaration__Research__TeachProject__Edit__index.dd35d3e2.async.js
similarity index 82%
rename from p__Declaration__Research__TeachProject__Edit__index.fe544c16.async.js
rename to p__Declaration__Research__TeachProject__Edit__index.dd35d3e2.async.js
index 9b480197e0..e34fb3f057 100644
--- a/p__Declaration__Research__TeachProject__Edit__index.fe544c16.async.js
+++ b/p__Declaration__Research__TeachProject__Edit__index.dd35d3e2.async.js
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",Ne="data:image/png;base64,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",B="data:image/png;base64,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",tt="data:image/png;base64,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",he="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,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",ne="data:image/png;base64,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",ye="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/F09vMBST6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",Ne="data:image/png;base64,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",B="data:image/png;base64,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",tt="data:image/png;base64,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",he="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,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",ae="data:image/png;base64,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",ye="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/F09vMBST6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f=c=>({"&::-moz-placeholder":{opacity:1},"&::placeholder":{color:c,userSelect:"none"},"&:placeholder-shown":{textOverflow:"ellipsis"}}),k=c=>({borderColor:c.hoverBorderColor}),L=c=>({borderColor:c.activeBorderColor,boxShadow:c.activeShadow,outline:0}),se=c=>({color:c.colorTextDisabled,backgroundColor:c.colorBgContainerDisabled,borderColor:c.colorBorder,boxShadow:"none",cursor:"not-allowed",opacity:1,"&:hover":Object.assign({},k((0,v.TS)(c,{hoverBorderColor:c.colorBorder})))}),ue=c=>{const{paddingBlockLG:t,fontSizeLG:p,lineHeightLG:y,borderRadiusLG:z,paddingInlineLG:q}=c;return{padding:`${t}px ${q}px`,fontSize:p,lineHeight:y,borderRadius:z}},b=c=>({padding:`${c.paddingBlockSM}px 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${c.paddingInline}px`,color:c.colorText,fontSize:c.fontSize,lineHeight:c.lineHeight,backgroundColor:c.colorBgContainer,backgroundImage:"none",borderWidth:c.lineWidth,borderStyle:c.lineType,borderColor:c.colorBorder,borderRadius:c.borderRadius,transition:`all ${c.motionDurationMid}`},f(c.colorTextPlaceholder)),{"&:hover":Object.assign({},k(c)),"&:focus, &-focused":Object.assign({},L(c)),"&-disabled, &[disabled]":Object.assign({},se(c)),"&-borderless":{"&, &:hover, &:focus, &-focused, &-disabled, &[disabled]":{backgroundColor:"transparent",border:"none",boxShadow:"none"}},"textarea&":{maxWidth:"100%",height:"auto",minHeight:c.controlHeight,lineHeight:c.lineHeight,verticalAlign:"bottom",transition:`all ${c.motionDurationSlow}, height 0s`,resize:"vertical"},"&-lg":Object.assign({},ue(c)),"&-sm":Object.assign({},b(c)),"&-rtl":{direction:"rtl"},"&-textarea-rtl":{direction:"rtl"}}),E=c=>{const{componentCls:t,antCls:p}=c;return{position:"relative",display:"table",width:"100%",borderCollapse:"separate",borderSpacing:0,"&[class*='col-']":{paddingInlineEnd:c.paddingXS,"&:last-child":{paddingInlineEnd:0}},[`&-lg ${t}, &-lg > ${t}-group-addon`]:Object.assign({},ue(c)),[`&-sm ${t}, &-sm > ${t}-group-addon`]:Object.assign({},b(c)),[`&-lg ${p}-select-single ${p}-select-selector`]:{height:c.controlHeightLG},[`&-sm ${p}-select-single ${p}-select-selector`]:{height:c.controlHeightSM},[`> ${t}`]:{display:"table-cell","&:not(:first-child):not(:last-child)":{borderRadius:0}},[`${t}-group`]:{"&-addon, &-wrap":{display:"table-cell",width:1,whiteSpace:"nowrap",verticalAlign:"middle","&:not(:first-child):not(:last-child)":{borderRadius:0}},"&-wrap > *":{display:"block !important"},"&-addon":{position:"relative",padding:`0 ${c.paddingInline}px`,color:c.colorText,fontWeight:"normal",fontSize:c.fontSize,textAlign:"center",backgroundColor:c.colorFillAlter,border:`${c.lineWidth}px ${c.lineType} ${c.colorBorder}`,borderRadius:c.borderRadius,transition:`all ${c.motionDurationSlow}`,lineHeight:1,[`${p}-select`]:{margin:`-${c.paddingBlock+1}px -${c.paddingInline}px`,[`&${p}-select-single:not(${p}-select-customize-input)`]:{[`${p}-select-selector`]:{backgroundColor:"inherit",border:`${c.lineWidth}px ${c.lineType} transparent`,boxShadow:"none"}},"&-open, &-focused":{[`${p}-select-selector`]:{color:c.colorPrimary}}},[`${p}-cascader-picker`]:{margin:`-9px -${c.paddingInline}px`,backgroundColor:"transparent",[`${p}-cascader-input`]:{textAlign:"start",border:0,boxShadow:"none"}}},"&-addon:first-child":{borderInlineEnd:0},"&-addon:last-child":{borderInlineStart:0}},[`${t}`]:{width:"100%",marginBottom:0,textAlign:"inherit","&:focus":{zIndex:1,borderInlineEndWidth:1},"&:hover":{zIndex:1,borderInlineEndWidth:1,[`${t}-search-with-button &`]:{zIndex:0}}},[`> ${t}:first-child, ${t}-group-addon:first-child`]:{borderStartEndRadius:0,borderEndEndRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}-affix-wrapper`]:{[`&:not(:first-child) ${t}`]:{borderStartStartRadius:0,borderEndStartRadius:0},[`&:not(:last-child) ${t}`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}:last-child, ${t}-group-addon:last-child`]:{borderStartStartRadius:0,borderEndStartRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`${t}-affix-wrapper`]:{"&:not(:last-child)":{borderStartEndRadius:0,borderEndEndRadius:0,[`${t}-search &`]:{borderStartStartRadius:c.borderRadius,borderEndStartRadius:c.borderRadius}},[`&:not(:first-child), ${t}-search &:not(:first-child)`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`&${t}-group-compact`]:Object.assign(Object.assign({display:"block"},(0,o.dF)()),{[`${t}-group-addon, ${t}-group-wrap, > ${t}`]:{"&:not(:first-child):not(:last-child)":{borderInlineEndWidth:c.lineWidth,"&:hover":{zIndex:1},"&:focus":{zIndex:1}}},"& > *":{display:"inline-block",float:"none",verticalAlign:"top",borderRadius:0},[`
         & > ${t}-affix-wrapper,
         & > ${t}-number-affix-wrapper,
         & > ${p}-picker-range
@@ -81,7 +81,7 @@
       & > ${p}-cascader-picker:last-child ${t},
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DZo7q6+zSmtFGntN6GcwOECwM5gOw+fd6lNW31QG6lADLytTHhwkAOILt0N3cv5XZWe6gXZNqhEGEgB5B2jOfw2LLAvmad3bX2pu1QYSAHkLZM7TDZsYD4NDn2YpJeccHCQA4g7Vja4bFtgeJ6D5WNNqdtcXD8TgM5gLRtaofRjgWa3LC9yl5M0jtK+p0GcgBpx8oOT1QWyKt209Aa2ds2hbpczM7Iwrvr4AAyKlM7zHYsEKVz0+5uIAeQdizs8Ni2gIyL8icxSbeNnZv9go0wkANI26Z2GKOxwJ56D+VRODdmGMgBZDRWdnhtW6C6WWeX/Zjk/jDQ/wHkSLPJ/mcrgQAAAABJRU5ErkJggg=="},57177:function(fn){fn.exports="data:image/png;base64,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"},81378:function(fn){fn.exports="data:image/png;base64,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"},81378:function(fn){fn.exports="data:image/png;base64,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diff --git a/p__Declaration__Research__TeachWin__Edit__index.2ed78d05.async.js b/p__Declaration__Research__TeachWin__Edit__index.479b6551.async.js
similarity index 82%
rename from p__Declaration__Research__TeachWin__Edit__index.2ed78d05.async.js
rename to p__Declaration__Research__TeachWin__Edit__index.479b6551.async.js
index 598bed4d37..e8c9004981 100644
--- a/p__Declaration__Research__TeachWin__Edit__index.2ed78d05.async.js
+++ b/p__Declaration__Research__TeachWin__Edit__index.479b6551.async.js
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",Ne="data:image/png;base64,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",B="data:image/png;base64,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LCnBw80pU3C3FwJdnolHzNrh7qxApf16J24V5JBwYIOWlt3Cv7DYq7twm8JiIqLxXjpYdHsVjT0+qXr/TKx0eDgpPjkX1nD1LwaGPbDLbJgps6s4Ac3lsfxEDaP0ixEx+j+IIe/iqikoFRsrnK+jzgAmzVKvC1z8QLh9fYtDeNXMIoJCITqreJ1sR90oKce3sUVw/eRh56SdRv3Ewyu/cwth3/4AGzVrYwMk+l4q0XZvR/alXECblL4B7ZaW0ir0xSbYdFEhKNcnCqlXt9gsMVLGnovwuUuJicbswFyPeWopS9w0kxS1DQFBDBNRvAH/2HtQA/vUawp99D6yPekENcaf4Jk7t24beYycSUCo2OguuMkezlZY8MPK//50CyOr96NUES4LLmFSUfQVJGxYhZtJsBEd2Rs75VBza8rtavdKAV99GWHRfUnF7P5mLEdOWISSCsY+7tgspu3HleCIKr6WTfI/oOQAd+41ESGQU/rHqbVKJDFS2vLLOHseF5G9IRbXtNQjdRr2IRiGtRU0LiJsx9kE9ZI3HMVHz/AebuWsURmPA5144gXAWa0wTnvuVqCwvg29APUZbilMuXx8YLl9U3a+kuOzvXw/ph/cg/NH+8AsIUn0pZ0tDrwnKRUQlq/yDq1UM0hNWi0myaMrzJLbS3TmXkbxhMQZNfJcYVFF2B6VF+cLYBk7sjKMH7/H0JJTeyEZgwyYIDo9CQP2GxKD4T+Zi+LSlCA1nMpvHqMtH40m6tnm0H1pGdYefnz9KbuYg9asNyDn/AzGyeduHUZRzldxHq07d0ftnU9CkVYQyMmkaj4lLR/byPNOWVvEYI1klsg2ZTKkquPAz1JGJ7DlQ9ZG8tR/yL55EypaVGD39twhs2BjbF03BI4N/ho6PD8Olowk4n/IN7dOluox58nr21gVPnGXDjxLxgpTVpikitK7UpHDgcYWzSDKsMOcKkjcuxsDX3iGAnMAmbVxCpmEqL+HTuWjUPAx9fv4fZJ2bmec5QFOXcBcnGn5CYZABSwpzcTFlNy6k7ELzdl3Q5/k3cDZ+G66k7ke/F6Yi4/h+YlnMlDnVGCBB4hrPKgvp7k7vdMqWrfeYpJVoYBJbkj5bgu6jX0HTh9rhWtpBHNu+DuPe+QQuvwBsWzgJjwxhAA2nBXf+wDcYNeNDq9qgyXXVoXX0nfSaIDX4Cg6sIgZ5KM/krq1mJnGQ3ExafrYEAxhAFEfs5yR/tpQMFzN5Dpg7jF/7PkZOi0XjlhG4mXkO8WvnYdh/LkFoRJRgkAt3igpw9UQKrqYdhDvrCimjHmNeRduegyimHPryI4pL45dsRmnRTexeMQPDpy9Di/bR1d2UCbhkAOY1Bb6KeQCwqgy21nltwoELjMwfknF021o8NXMV6jUORrpMD2avo/0MoOihPyeALh2Jx/mUnRg9Y6VSb1ZX1l7703tI6jMTDeTikleqdoNHiIDaQTJQlJOBpD8tJYAqy+8iP51l1FJmAzkXTpDRWnfuSVuL86+jSYtwtO7cg4JpwqcMoMUIZXkQQGpnx5I3KM5EdOuPtr2fRKv20fC4fJBxPBGpOzZQYsjKPcOmLkGLDl2RtH4RfR81c6X3OOIASao7EaU1sIRLUe1mrXcjmn8cVw8S139AKA+aNJuM/uOuOOSnn8KIqbE037B1wURED32e8rH0I9/h/IGdeOpXq2zq7UFBUpWM/OQPiUFiKkQptdpAYgAlxy3DgAm/wd2SQlw/dcjKd2TU1yKDLApEdHuClFjCuvkY+tYiARBnH5PuTVq0AVN7TDQX52Qg9euNyL98Bp0HjEH3US/iy9kvkrvr2H8kMXNX7HQ8OvIFdBv98gOB5GSSnVF6408wTevO3nEXYOeKqXhs3Oto22sgGT3+kzloGNIKjzH3zRg0/zUCqFO/UUg/8g+cS96JMb9eBVbLK7hylthOocLW+fUy46BVGoy8pN+KPMiqYjN353K2F8iN8ZqaOycTB+KWY+Ars9AsklcD2MtFhVMuxS1FyIupchtzcQnrFmDomwwg7uL4fqDizi1k/piCK6mJcGdlUEnl8effRJOw9vBUVuCLWc+h/0sz0K7PEPqd8/t34Pjf15PfZzmS15eDSapGp9ydlNc6k7R6ngDpVPxfcS5pB56ZvZYWUUnedez5+F30HDOBGM9e2+ZNQNdh4xHVdyQxiJWwxsxcjfLbRfj2o3cw+PW5aNC0hYpJukCoqY9k5OxfYbJ2t2o3MKfkEjlPDTGpKDcDB+JWoOvQ8Wjcoo1q9nF0LIBki0IHoTjvOk7s2oShby5ESDjPg4pyM3F679+QLdRam+jH0aHPULSM6gbD5UNusuDaBexZPQtD/n0BWnXpqbA4ufvPOLnnS3QZPA69np1cA0gmXFp9VUlauVIVWPbJH9lyYMpq5/KpCG7TAX1/MQ2sBcI8CHuW0b9aCZevLxl967wJiB42Hp37jcLFw3sIoLFvf0TPl7hhMUa8tRiBDZtao1faSFe1IRQRQ43sxFhikASJsYSeRTbjZOtBY4Y7NxMpm1Z4N8YDbh3yxkKEhnMGlZWwrPxDqhYwURBQvxEhXZJ3FbfdBbhbfBMXU3ahrLQYzy3YBB9fPzVzx34u9av1FJfadO1b86+bFkhcTFldWjKODST6IgwJ5F86TW45ZuI7aBnVg4QCy9n6vTANbDHJKsXWua9STZC5uOwzR3F46xq06xVD7ptVHMb+ejWVvJwNP+c4l84mI2ffchoa0UFSjTYNJFUOMgwU513F91tWU4m/aet24nAXH0xUvSPeguD1VtGKYK2K7Awc/svv8eSUuQgO66C5QvukEPu9y8cScGz7HxHUOBhNWoZTxaBRy3B+TWZCMRgpiKtcbU0oPfjMnd3dlRbm48LBb9Fj9EtUTL5wcDfdQcd+I0SLnR+fumM9Wj/cGy3ad0VVxT2cjv8b3NmX4OPrjzZdHweLwd7cmtU610pSotJgZO9bTgyipE4Dqi6Q9KoD5UlsiISxzxZ/LKNTOVTJcStWyZglWx7Vp1c5wOz+GMvlpNA/CxIzkHR3P5VJqvKstwu8zNxxBvCaoL2VwAYj5WSqVVKSXVkneMTy7IRlqpIgQbLFJKnw9AYet6pNCHBwuSCglV2t4SeZ5GW+QU6vEsiWaJCLROZnTpBkBVzW8VSDoq4RYw0k+ziXMFot7s4rSNp0kXNWTu8lceBYzd1LS0O2zh2gGlnxS3MMw2glDUqzWKQTrPk42YizVxecak0ApFrn3kCqDqpikGAwTQrx/oQqpPJyED/XG5PU/dUx32BzfTaQeBlIzZRXGzHWJLheDRBAqphBwcTZ8HMySR9DlpVrHu/kbIOoO7FtuUZ2wtItJo3+WgaVA/CWXOYxROZLthxJjzEEqo8YehTD8rW0zi3WcbBVy9w51Sp/Q7x7B8kahCQXRnXDOhTLT2KSGDZxNPw4RpagMFFVQ5yxurK8zCOBtMBXIAkWwcQXRlbi8jBUmWmA2UxJbQEWOSzbpKkXo3Or2oI978ry7d66spT3iPmGauNc+oixw91ZQkXEM6q1WQ0/LlI4KAwk+du1wVTz9KoI2OyC2kAkXUvEGI/o4eilGnKBNbowO0jWX0nYQRIxyR2IwG70OAwkw+OJNU3ESHcn2WKBZGeRPcZwHSUng2RCy9lUB0jKfWnCQTJIV4TaaLJo0Ypx5dpBehAm1Q6SHD4RpVfHHAOXyPa/qqgLJOtPWSSTtPwLyIXp2R9Y5T8rqO+UrP8Gpjgw8TngMx8AAAAASUVORK5CYII=",tt="data:image/png;base64,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",he="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,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",ae="data:image/png;base64,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",ye="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/F09vMBST6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",Ne="data:image/png;base64,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",B="data:image/png;base64,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",tt="data:image/png;base64,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",he="data:image/png;base64,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",qe="data:image/png;base64,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",bt="data:image/png;base64,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",we="data:image/png;base64,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",ie="data:image/png;base64,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",ye="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/F09vMBST6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${c.paddingInline}px`,color:c.colorText,fontWeight:"normal",fontSize:c.fontSize,textAlign:"center",backgroundColor:c.colorFillAlter,border:`${c.lineWidth}px ${c.lineType} ${c.colorBorder}`,borderRadius:c.borderRadius,transition:`all ${c.motionDurationSlow}`,lineHeight:1,[`${p}-select`]:{margin:`-${c.paddingBlock+1}px -${c.paddingInline}px`,[`&${p}-select-single:not(${p}-select-customize-input)`]:{[`${p}-select-selector`]:{backgroundColor:"inherit",border:`${c.lineWidth}px ${c.lineType} transparent`,boxShadow:"none"}},"&-open, &-focused":{[`${p}-select-selector`]:{color:c.colorPrimary}}},[`${p}-cascader-picker`]:{margin:`-9px -${c.paddingInline}px`,backgroundColor:"transparent",[`${p}-cascader-input`]:{textAlign:"start",border:0,boxShadow:"none"}}},"&-addon:first-child":{borderInlineEnd:0},"&-addon:last-child":{borderInlineStart:0}},[`${t}`]:{width:"100%",marginBottom:0,textAlign:"inherit","&:focus":{zIndex:1,borderInlineEndWidth:1},"&:hover":{zIndex:1,borderInlineEndWidth:1,[`${t}-search-with-button &`]:{zIndex:0}}},[`> ${t}:first-child, ${t}-group-addon:first-child`]:{borderStartEndRadius:0,borderEndEndRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}-affix-wrapper`]:{[`&:not(:first-child) ${t}`]:{borderStartStartRadius:0,borderEndStartRadius:0},[`&:not(:last-child) ${t}`]:{borderStartEndRadius:0,borderEndEndRadius:0}},[`> ${t}:last-child, ${t}-group-addon:last-child`]:{borderStartStartRadius:0,borderEndStartRadius:0,[`${p}-select ${p}-select-selector`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`${t}-affix-wrapper`]:{"&:not(:last-child)":{borderStartEndRadius:0,borderEndEndRadius:0,[`${t}-search &`]:{borderStartStartRadius:c.borderRadius,borderEndStartRadius:c.borderRadius}},[`&:not(:first-child), ${t}-search &:not(:first-child)`]:{borderStartStartRadius:0,borderEndStartRadius:0}},[`&${t}-group-compact`]:Object.assign(Object.assign({display:"block"},(0,o.dF)()),{[`${t}-group-addon, ${t}-group-wrap, > ${t}`]:{"&:not(:first-child):not(:last-child)":{borderInlineEndWidth:c.lineWidth,"&:hover":{zIndex:1},"&:focus":{zIndex:1}}},"& > *":{display:"inline-block",float:"none",verticalAlign:"top",borderRadius:0},[`
         & > ${t}-affix-wrapper,
         & > ${t}-number-affix-wrapper,
         & > ${p}-picker-range
@@ -81,9 +81,9 @@
       & > ${p}-cascader-picker:last-child ${t},
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DZo7q6+zSmtFGntN6GcwOECwM5gOw+fd6lNW31QG6lADLytTHhwkAOILt0N3cv5XZWe6gXZNqhEGEgB5B2jOfw2LLAvmad3bX2pu1QYSAHkLZM7TDZsYD4NDn2YpJeccHCQA4g7Vja4bFtgeJ6D5WNNqdtcXD8TgM5gLRtaofRjgWa3LC9yl5M0jtK+p0GcgBpx8oOT1QWyKt209Aa2ds2hbpczM7Iwrvr4AAyKlM7zHYsEKVz0+5uIAeQdizs8Ni2gIyL8icxSbeNnZv9go0wkANI26Z2GKOxwJ56D+VRODdmGMgBZDRWdnhtW6C6WWeX/Zjk/jDQ/wHkSLPJ/mcrgQAAAABJRU5ErkJggg=="},57177:function(fn){fn.exports="data:image/png;base64,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"},81378:function(fn){fn.exports="data:image/png;base64,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"},81378:function(fn){fn.exports="data:image/png;base64,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diff --git a/p__Declaration__Research__TechnologyTransfer__Edit__index.a8d8828c.async.js b/p__Declaration__Research__TechnologyTransfer__Edit__index.ecb5f1e6.async.js
similarity index 86%
rename from p__Declaration__Research__TechnologyTransfer__Edit__index.a8d8828c.async.js
rename to p__Declaration__Research__TechnologyTransfer__Edit__index.ecb5f1e6.async.js
index 84c1ed680b..943750072a 100644
--- a/p__Declaration__Research__TechnologyTransfer__Edit__index.a8d8828c.async.js
+++ b/p__Declaration__Research__TechnologyTransfer__Edit__index.ecb5f1e6.async.js
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",Me="data:image/png;base64,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",N="data:image/png;base64,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",w="data:image/png;base64,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",qe="data:image/png;base64,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",Ee="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",Ge="data:image/png;base64,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",ft="data:image/png;base64,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",we="data:image/png;base64,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",vt="data:image/png;base64,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",Z="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/F09vMBST6Y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",Me="data:image/png;base64,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",N="data:image/png;base64,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",w="data:image/png;base64,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",qe="data:image/png;base64,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",Ee="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",Ge="data:image/png;base64,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",ft="data:image/png;base64,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",we="data:image/png;base64,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",vt="data:image/png;base64,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",Z="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/F09vMBST6Y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+++ b/p__knowledgegraph__Detail__id.d66b0ead.async.js
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",Me="data:image/png;base64,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",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,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",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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ekKrKSvD51KfQY/gY3PGLJwP7PRmTCKDcjB9uKl6ogyinG/jcdJccvpSZzmLDVGy65Q0b+aeP4WJmOu4Y8s+OCxVaX7ZFbDSIbYlmbToa/Sp351YtHF2XI9HALm77e7rd4PeIgNoxyXF3tLJJHhNAw16drwG6QgAlTUfzDt25msAAVVzljL5Fhx6IqE/7gM79RqFJ61v4PeVVPsuHPo+Ox5lDO7B37QcY+95GnNjxDXKOHxAgSe/mr6nGpVPpaNSyLaIaiESVNvp81yPPOWCQy1o6A1QaotKOUneSQkoYO/IbwI5P5qNeWDgGPi8AUs2/I5v+ijMHUt1KUP6SSl4pgaXKhntzEuPW3e5Bt4GjRZw0ZhuCVb/VfuvS9gXMIBkYaim1wCAJoLIzCKDlGPrKuy6ANi+dgcTnpksXZ6E49yySk6Zh8G/eQBytIjXPoJqEdMc+0Yc6sz8Fe9YuYYAy9yUjL/Oo88yWyOSzDu9GXPvOiIltob+jxLf7sCdc9tmSNBME6LDfzhUZvazJ6fa0WLa6QUeynGLQwPEzpAioPdsgDOcurGZs/wrHtm7AY9NWGJUCMd9g5lPa6AFACgaUdXHbfJkHOVVscne0os3uqEhmaR89lfgu98QBpK3/iAGiCoHP50PJxQvYsowAmobYdpTz+DgGbU6azgCR5HVAFzHFqWJYyNyfgr1rP8SYBRuEpKc1Ll/pfWXFFXwx9Sk88NTvuTJRlwRngPzVGPbiXEEcDYjnvWz0JS+dBV9ICDNIMa12C7329E/Gto0M0OgZK1mkOCKkrkkht0AIClDu1ndtanfrdgOZhMrmcponmHCg/Vnp+3Do69UY+rt3uJpN25X8bKQsm8myt35sPBuwvLgAx1PXo0viI4hp2oKjfUhIGNr26usoOgnUmQMCoKcWbGCDekGqulqCz2eMZYCoFaGEQ6BAQwAV5pxBfOeenBcF2sz6XN7Jw9y/GTR+hnZxOu64Zh3Mhh9wfOt6HGeAVom44ZouCs4kcWzdsw1WTuo7zCAFEq14fhbZZdWrXRnLsvDTrr+hrOhnFF7IRHV1FYa/sgCoV4/BUAAFNoezl1oJj05f4czayfh3Zn8qVyfGzF+vx7noHk7vS+YcJTfjIM7/sBODJs5Cyy69+YLBQCKAqB2gYp2Zp3pjBT1zUfYZFjeDxs/Uak31hcw5O1rtly+cYkFEP35q9ybO9Ya/tkhQ0wBJt865UuCwq7a7q93d5TwoN+VtHhoxQVKTOiZIprvLSt+D/MyjLLMTut2rXRldp7QgFzs+eRv3PfkqP6yot8p8R0t2NREkXzWDwQ25vZ8nYcx8UZtTC2bbqrdAK5zKUc1u6YqB46bCCnPaBoFASqVaXE0NBlOiqkpATtwWBUkV7KlmtlzGoOdJZgunaIoFndzaNs4f3olD3/wb76LF1qnfSLTt2dfFvP9869xhk4pdVk7K28wg7U6MCR/2PwaTTJBM8cAxiYZIiH2GuxTHKDflgKQafrVjnLxBP/VsIowYKFhNLOcFasSkQHlSneyVFXAVk7wgOXFKJowGSAH7OgFm7hSoQrGZMUkUWN1TquIY77Eqjlk5W/5VVxIUSK6YpBSe2RsSS9sI9ka1gUo2HlAdIBRIXgFijHMZosE7c+cF6WbmGwIHHtGmoM09ziVVmxYTNwmSMV3knZXj2OcadKQOb3B15y0BWdmb5+ValhWvDM6zWEwcZz5O+ikNSjAmqclULdu9DT89GBl4CIWvy0xUSlFGGGMwMhCT9P2peMS0vUEUNJjETXFS+oa7c5gkV7wuchoGl0C62g6GBA/MJHMMWVWunf6PqlZIUPOsnC3zPrV59NeR2WoA3qkocJmh1miWmxmq0h0ihx7lsHwgkHTrXAAlCGlMq3qnWlUcM2KS192p3IqhFa5AJ7dBoXKBJIN7QJCcEWPvpJDAyIhV1N81GOOIAZNJDkhmYZTdrTFUAhtrrOzUt1ujxj4C2E201JZgcZ/VNWkawOh62secBqLWufgcqCvLDs0z3+CAZIwYe9xdLVepXJScFOKWhWQOd1rVoqqDTMGnV2U85AEN2cQw5h245yd7OLo8oxt4wVyYGyQnkXUadIa6K4xARA9+HALJ8vvfsW0kKnen3JQDkptFyiUKAIUrctSaSGh56uZGIGn3ZTLJ+99dlOpz/lcFOSQxrizjSBCQboZJdYMkWxgekNxFTckgs9cTNM7IZpxqypkTriKZzoPt3xpREzYp6t7x2f8ARtZc8eay0EoAAAAASUVORK5CYII=",Me="data:image/png;base64,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",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,iVBORw0KGgoAAAANSUhEUgAAAGgAAAAqCAYAAABfjB7GAAAAAXNSR0IArs4c6QAAEy5JREFUeF7tW2l0VFW2/m4FkhBmQ5iEJEwBMcgoElwMMoOg0q20ywkJQj/1MXTjoxVlkjm0QNs2AgIapNW2gRYRbGRMCDJGmWcIUxISyASBhITUfevsM9xzb91UgM567w8lrqq6de+puvs7397fHmJcPxJvGoYBGAYMw8Of2X/sGNhb+Rm9Ecedz/w8E4BpGPDQlYDpEWuYdCl9VtbD42WriOvZivwfYJrqmR0xTfo2fpxe8uvYcfpfXsuOm16Yppc+97JndqrXBPvFpleuJc6R14tntq5BX8Ov4+uz1/J7vfy+tfP572Hr8d8oP2N3T8e03yruzro/IN0D73bDCBjfYMDUy0be4S8IIA6ExwJEgsQOww4SHaHz2T9+DfspHA8DXjeQpNXLAMkQBiFjixuSsHLDSzAskNhxbkR5zPmaGVQazG5MQwDE1y0h40sj6kZnv4sDxD/Xz5Gbxz9I/Fq/IBGY3FAemNmG4Wlt5DKAyOBslzMGcYNzO5bNJDpfMk17/r8BSRpTwKmBxHev2LGScWL32z5jTNJYA3hhehkrJDstMOR5nD12kBTL3cC7DyaRTeH92sg9tFy4OGZoO5NsIJHr4zThjBLuT7LLAabN3WnuTTm5cmOSxQzafn6ZZLk7nW3k7hT7uAsrlUnkgvlOd2OTDXwnWNpGEbtHc4PSZ1ju3AOkG7kHl5sUN8hgHCDd3dlBEu7OBSQes+yM8w8SB9nfQ3d3FEGYK+N3JrEg1+XLFHGTjrikztMAkAZlIAmri/UFSAoQ/0yyuTyfmGSxUcVP8du85J4t0BmDyTDsNzJ75hxYpkQCJ4MbkzTBIN3Y/wNIVvwRIkLFJH5T3NicUfaYJHe8ZggnS7iCUCBxF/cfgCR+m0+s0tydTSy4CgcvjNxflpoU3ZVacyg0FZMskKTCs9ydFbPcVOB/7O5IcVkP2nWuTGIgCYUl5Z9SdTqrJBusgK/UFVOczpikVJs99rjFpLtmklKaWqz0AckQAPEo7wckLsFt0ptdIoC1qbxyjkklxYW4dGgPQhs0QfWwh7lUZuRXatykjc/xYkyyZLeU2iqo26Q3O1PKZRl3JIMcIBGT7iiF5VR3EpTzB3ciMKQK6jSOFjJcqjIX1ecQDtL92t2dCSM7eYkms11AEjHJAsGDwvxcXD6yV8hsGUuk7Jbqjz8LOcjlJR3iYiOiTWcEVXuI7Cq46RqTTG8J1kyJRYPojuj0/FuKSZR9sN0umGSBJHdkaUyyhARfQoJkl89C45Ohb13Pxq5vFiDqyQGo37yt2As8/+F5Es+nfv3xS2SlnkWP2A9UbuaU/nKz2JSgi3iQG83I3r/I5OzgSarQzCoptRJVSwRkXz6LLYsmoUJgEAwPS0uFAyo7D4VZUoI7RbfRb2wcwiJaUDKbcfoQLh78mbPAZY0rJw+i4HoOGj3eXWOOlcCyS8Jbd0btJq1kcNKYxCWzHpPsSaxMakt3d8VFhfhlfTwuHd6Nlt2eQVTn/shNv4DC/DwrYfYC16+m4njSD3i023MIqVFLJKScRcFVqqNqaH2bfLeBJUAisAXw7A6NrH0LFUBSvZGIkMzRqweUiRpgAG1dPBk9RkxGWKNHuF0ZUJr0tudRbANwg15LOYaNn0xA37FxqB3Rgq45lvA9kv+1FLWbtBS+qiykrWoDuyDz7DF0eG44WnZ7Fiw+8S3uyyQ7SG4xyXJ10m3Ja9h6p/dsxKGf/oHWfV9EZspxpJ86qEVG/y/Dozshusfz7kmuTeILRkp2Zu1daPISDiNNgI1JPiAJsLIun8G2xVMJoFqRLZB18RQ3iIhlKk8SlCDpHhCAsMhHkHnuKH762/voOyaOrmX8O564Fsnff4GX531nEege8qQV455D+0GvE0DSl1vPVjLrE5P0oKyM5Mskinfi8ytnD6NWeDN4PAEqDzqe8D3OH9iBnsMnoWJwCLeFtwS5V1NRLexh38qEQ4a7uTvJJOPank9M6aacIJnS4A42MT/LAHrqjYkIa9QSq6cMRUlxkd8tVLFSCIZM/wpXBUD9xsQhNKI5udIzuzbiyKZvMXjKcqQe3SeiVVksIggQ3rIjVk2NRXSf3yGqUx8r1ukMUj6ePLusIWk1O11Y6MJBBHdvCYoLbqFicGUBlFW3y0k7h4QVcWjT72U0bBUDWTo6/2siDm9bjSeHjEKNepGlguQvJlEeyAByFkGdMcnJpGwG0JIP0f2NDxAW2RJ3igp4dUHkSDtWxNHrrsP+xJNX9sbjQWBwZVxNOa4YVDuiOaVl7PupwGoAK8cNpjh1t4/XFqxToEh1p+pdYhFeKGVGFfVVBpJQFVYQLx2kAxu+xJVTB9Hllf9RscU0S3D75nUkxM9B5ZphiBnyNs9zvV6Kd96SEuxa9QnyszPR5ZV3EFSpyj2AZCXfxtXdf+WJqowjqppgFw46SAyg7Z9NQ/fhH6BWoxaqYCrX2bZsGq3XY+RkhzQ3cDXlBDYtfB99R89BWGRzgk+CxH5FyZ3bSigU5Gbj6NY1OLt3CyLbdkG7Z2MRWKmSDbuAisG0a6VKpJRV5EmKLeRSrOoyJ5EbSFa1WZfg+TmZ2LlyHopu5aPrK+NQrXZD3LqehaS/z8ONrCskHBgghfnXcbvgBopu3iDwmIgovl2Iuk0fw+PPxPrW7/RKh5eDwpNjUT1n95K562ObzFalHgJKB8kAc3ns8xwG0NLp6D78fYoj7OZLiooVGElfzqXXXYaOF2oQqBAYDE9ABWLQpoUTCaBaEc1VUVa2Im7nZeHisb24dGg3rpw+hMrVQ1F48zoGvfc3VHmojg2c1OPJOLh+Jdo8/SoaSPkL4HZBPu1iNybJtoMCSakmWVi1qt0Vg4NV7CkqvIWk+DjcyEpH37dnIT/7KhLiZyMopCqCKldBIHsOqYLASlURyN4HV0alkKq4mXsNh7euRodBwwgoFRudBVeZo9lKS14YGT//RQGkS2qrtmaBJGNSTuo5JCybju6xExAa2QJpJ5Kx66u/+PVKXV57Bw2iO5GK2/TpJPQdPRu1Ihj7uGs7mbQB5/ZvQ9bF0yTfI9p1QbOYfqgVGYV/z3+HVCIDlW2vy8f242TiD6SiGrXvhtb9X0K1WvVFTQuIHzvobj1kqecxUfPChyu5axRGY8CnnzyAcBZrTBPeO8UoLixAhaBKjLYUpzwVAmB4KqDkTjHF5cDASji9eyPCH+uMikEhqi/lbGnoNUG5iahklbFzgYpBVqFUK5qKfo/Mk9hOz047i8RlM9Bt2HvEoKKCm8jPyRDGNnBgXTzdeNtnYpF/NRXBVWsgNDwKQZWrEoM2fzoJfUbPQlg4k9k8Rp3du5mka8PHYlA3qg0qVgxE3rU0JH+3DGknfiFG1m70CHLSLpD7qNe8DTr8ZgRq1ItQRiZN4zVxZs8mnmfa0ioeYySrRLYhkylVBRd+hjoyke26qj6SW/sh49QhJH01DwPG/BnBVatjzfQReLTHb9Dsid44s3cLTiT9QJ/pUl3GPLmevXXBE2fZ8KNEPDNpgWmKCC0B8mUSZ5E8npV2DonLZ6Dr6+8SQE5gE5bPJNMwlbdl8SRUq90AHX/7X2Sda+dPcIBGzeQuTmwAoTDIgHlZ6TiVtAEnk9ajduOW6PjCmzi2eTXOJW9HzIujkLJ/O7Gs+4iJPgyQIHGNZ5WFdHendzply9Y9JmklGpjEloTPZ6LNgFdR8+HGuHhwJ/atWYLB734KT8UgrJ4Wi0d7MoD60IY7seMH9B/7kVVt0OS66tA6+k56TZAafJk75hODvJRnWszxB1I2k5afz0QXBhDFEb1NYSDx81lkuO7DJ4K5w82LPkC/0XGoXjcC184fx+ZFk9H7v2ciLCJKMMiDmzmZuHAgCRcO7kT25XOkjNoOfA2N2nWjmLLrm48pLg2ZuRL5OdewYe5Y9BkzG3WaRPu6KRPwyADMawp8F/MAYFUZbK1zf8KBC4zzvyRi7+pFeHrcfFSqHorTMj2YsIQ+ZwBF9/otAXRmz2acSFqHAWPnKfVmdWXttT+9h6ReM9FALi5xnmo3eIUI8M8kAzlpKUj4YhYBVFx4CxmnWUYtZTaQdvIAGa1+i3Z0NDfjEmrUCUf9Fm0pmG5ZzACagTCWBwGkdtbOfJPiTETrzmjU4SnUaxINrycAKfu3IXntMkoMWbmn96iZqNO0FRKWTqf3/cfNc48jDpCkuhNRWgNLuBTVbtZ6N6L5x3H1YtvSDwnlbrETyOi/ro9HxunD6DsqjuYbVk0dhuheL1A+dnrPTzixYx2e/sN8m3q7W5BUJSMj8SNiEJdTllLzBxIDKDF+NroM/RNu5WXh0uFdVr4jo74WGWRRIKL1k6TEtiyZgl5vTxcAcfYx6V6jTkNSe0w056alIPn75cg4exQtugxEm/4v4ZsJL5G7a9a5HzFzfdwYPNbvRbQe8MpdgeRkkp1ReuNPME3rzt7MzsS6uaPw+OCRaNS+Kxl986cTUbVWPTzO3Ddj0JTXCaDmMf1xes+/cTxxHQb+cT5YLS/z3DFiO4UKW+fXZcZBqzQYVxL+LPIgORjC3Z3H2V4QUz/M2Nlp57Ejfg66vjoeD0XyagB7eKhwyqW45SJ5MVUeYy5uy5Kp6PUWA4i7OP45UHTzOs7/moRzyduQfTmFSipPvPAWajRoAm9xEb4e/zw6vzwWjTv2pO85sX0t9v9rKfl9liO5PhxMUjU65e6kvNaZpNXzBEiHN3+L4wlr8eyERbSJ8q5cwsZP3kO7gUOJ8eyxevJQtOo9BFGd+hGDWAlr4LgFKLyRgx8/fhc9Rk5ClZp1VEzSBUJpfSQjbftck7W7pUHJVXkEk0qJSTnpKdgRPxeteg1B9ToNrV4SoWMBJFsUOgi5Vy7hwPoV6PXWNNQK53lQTvp5HNn0T6QKtdYw+gk07dgLdaNaw/AEkJvMvHgSGxeMR8/fT0W9lu0UFoc2/B2HNn6Dlj0Go/1zw0sByYRHq68qSSt3qgLLPvkjWw5MWa2bMwqhDZui0+9Gg7VAmAdh9zLgD/PgqVCBjL5q8lBE9x6CFjH9cWr3RgJo0Dsf0/1tWzYDfd+egeCqNa3RK22ky2cIRcRQI3VbHDFIgsQoSPcim3Gy06oxIzv9PJJWzHU3xl0e7fnmNISFcwYV5LGs/COqFjBREFS5GiGdd+UCbmRn4lbuNZxKWo+C/Fw8P3UFAipUVDN37OuSv1tKcalhq06lf7tpgcTFlNWlJePYQKI3wpBAxpkj5Ja7D3sXdaPaklBgOVvMi6PBNpOsUqya9BrVBJmLSz26F7tXLUTj9t3JfbOKw6A/LqCSl7Ph5xzn0tlkpG2dQ0MjOkiq0aaBpHdTc69cwM9fLaASf836jcXpHj6YqNoTvAXB662iFcFaFakp2P2Pv+KpEZMQ2qCp5grtk0Ls+87u24J9az5DSPVQ1KgbThWDanXD+ZrMhGIwUhBXudrSULr7mTu7u8vPysDJnT+i7YCXqeJ/cucG+gXNYvqKFjs/P3ntUtR/pAPqNGmFkqLbOLL5n8hOPYOACoFo2OoJsBjs5tas1rlWkhKVBiN16xxiECV1GlBlgWRv5Hmo/U3ss8Ufy+hUDlVy3IpVMmbJlofv9CoHmP0+xnI533C/IDEDSXd3r0xSlWe9XeAyc8cZwGuC9lYCG4yUk6lWSUl2ZZ3gEctTt8xWlQQJki0mucwqcKFmFwIcXC4IaGf7NPwkk1zmG+T0KoFsiQa5SWR+5gRJVsBlHU81KMroJekg2ce5hNH8uDtXkLTpIuesnN5L4sCxmrtLS0O2zh2gGpc3z9Jms9kO5YrKAom7J9+pH6daEwCp1rkbSL6gKgYJBtOkEO9PqEKqPinkxiT1+6xszLV1bnN9GpOoKc7UnjjBHpPEjhesUcJBi1sqZlAwcTb8nEzSx5Bl5ZrHOznbIOpO7Fg6AWR3M0zB8f6MJZfdQbLiktXuZj6ajw+LYXk/rXOLdfy7VMvcdfRYukV3d6fmKRi03BVQ9d3vwwaSGABxBan0riwnmyUoTJSUEmesriwv80ggrfxLgSRYBBNfG5c2zbT6QZo7k000HSRXo3Or2oI9b53z425dWcp7xHyDzziXPmLscHf2DcGLrHrDj4sUbmEGkvxufyCVPr0qAjZbUBuIpLVEjPGKHo5eqiEXWKoLs4Nk/ZWEHSQRk7KDEdzauPjTDNFu4FpI5UPCwBaT7Cyyxxh5rRQCnEGcTWWApP7cRRMOkkG6IlRgSRA8YlzZP0h3wyT/IMnhE1F6dcwxcIls/6uKskCy/pRFMknLv4B0mN7twSWB40M6jbhs/Lw4djGAkaXtss6/X16Wo7jLzOfBafdjAePot1MC83IubQfMGLcFHgB0P2Ytv2uIHfsXj6xXhJJkwKznXPoBQOVn7PtZSbmvPctiY7wl2G6aCNQXegDQ/Zi1/K6xxZfdn70x0uv1spikHg8AKj9j389KPgLAKRoeAHQ/Zi2/a3wAcoqGBwCVn7HvZyVXCa2LhgcA3Y9Zy++aUnMcKRpiRi4PKr+ve7DSvVrAbxLKREOnEUuX3OuiD84vPwv8L+YNX/sKgQHCAAAAAElFTkSuQmCC",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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tYg1I05WLFxZ9tLwCZ6dgE5MBuFK8ajM6n+M18cvk0YYyBFoDqM/o5IUgRIONYy4xBlEOW75Hm5n+rQ1r3d3CQ1RwWZlvcVMC5SGQygmA8T1pFrtkgWVTyTN6ngFIGvpWNdjWZhTXds/4Mf3LuIBpbscXtV2Rhpn96CioqoksRvMxOSyLlBPJsllQWSR1zhcg3UHoCFY/QldMBQ0qje1mQsaZKkhmjDdt/1hY01mppGiqbyB5bZrV0U8VAMAvKg2FCKAl73kFQblhihYSwEoRTY2qxEOs2ZxJrhHZJpRTOsy5+sMuBThicCMQzl1GdeMXS6Kc/+vApAGQ69ha8PXvQrTKomJDIKpJEgqKk4UvDLHuLzrUYw7PAV3wyFatdY8ZqohG5hEADKZERrjGDxFSwgDSxMrChrDa3tS3pnPdaLNqKHbRoVUDke11bSBuDTKCeCTlPKtfSTsYidIQpKIOKIZEmjDUGEiPAT2n8zx5CLZ1fNb3D3TpVCEjDSRNkqz5W33zC7u56NDAfCuDxN1jiMHr9GAE0ohtdWO+K4aDRKHswKbySdbBKnkBqMkRzDl6+aczXGiSmG4zVMplBB6K0anDdTjdr7lGzm9SKjjbdLlCRds+UyTVqS/YZKxPvsuNyLWPNmzxqAxaZJg4TiLVUYjWFqNt2FeBYUqpIjMTGrIQQ6yU2vT5hZwZRrRvMjTF+2CPCDEGwljE8PwTV4lvVYQynKxV0ywi+q9DY9zRWTjxkG9x9AbSbxQd6wiFZCkR9FUvVKhIr45JG2OUKkwLFZaRhnhw/+YPg1re+iV7f00eXCeVzQvZZ7aoMShVhHq8ZXI+kWBUMux3rniiINZwV4JIxnuQ8jqqapoqF0YIprN1n5Vtm5RmTiDOJZLMdWGT9ZxvqprYb0xQHts1uwn5iIwek+E8j5zCnn8KwVMhOjtEdURtb//fPcjEVYa8uBSnex8LJ++xkuBdAZvr7n2BAEXxEmD05RoltbE03KqkksVpfWnrnpV3htz8IH5Nedenk2GDt+CS7GbLfMpkp3QjcyWspvpxTgzHlMvNeDYrrUlzTyCctrTZkbe0QYVXrbUpruWf36o7WG1u+eX1rgFvb0MrQXP7dI0UJrAzKFTL7n9T8pyOJ/On3jlD6e5e4qxaFlT97ttB5NGjj869fYq8UYwhJLTz5XGnxbta+A0ALhNHxqJDe/Mkxqlkld/w8eupxVI4THf3shdKcbfl3z3A3JVX5v4525VsnXj1VH/aVesGQFjHogzOO/1sazY3mBWOGHUZfLuGYqjGwmskmu+WmsXXFpA3di6YIzE2N/OYuEKyP0fJQbGnLhTO2noIxuT3ZvCzpbpYQDozp7zKmuB/mL4nSd//82eZ8vv5BdQDlUvzmE5SnQje7LND1DL036rh5uiOWuAHgt2w6cgFD4wdxrc33v32Oe0iE5TjhLF37f/MTr7yS28ffPtsY/dNDhY2s/6tvr/WKwP+SlXBsFM0omrmpnKOWnXKgtLGnGKwbVxAGwgiLJcWGERkSkSaTshCp0TY/YqwWzsFr6g+R54+aV24kWnNPEoxj2T0lhIZE56mcTQFwjOkpEgZHtP55QZtVn7y/+sFhyiPWx5llfKYx9OfPFfMs3v0uK9bKw9Euf9mfPfkS5VtKcgDtttx9Ejt/+DRdaX98/G0OskGU6/UakuWwMfHK4MbBrC+/WxvSYaO+8Y6Z/t7fNo4YkkMi5ZrxZHWJoWaF81wk8w3nOSA2T2TlojSmJBg+wE5Ohe1Dl02r1wYLmoi1DwTmcQQ71tyKyY1utktgbfBcStJarMRsJxW25kGKUfbYDPgwtYE0+6AIU4fBjZ+MF0+35/r1d7lLKbg/PEI2CPHgi5m+dQ57ZlJMW0rMAfzW2XDv+EF/g/LsO0t9IoFs6Cqv/u3F9dP/7Mht4X+CxVd/J348XfWuTLTTg8xi7Px5NTk2thEmOnZmpXtZe0+tee7nEsgdaZ4YgW5TmKUignCs2SENHOvbkmFlg/R5VMZKtHyVLX5sg1wGgjLNyEjkyiTVjKQl93LPh6zxDFOUBmWXIX1j5rqQXS5lZoWkbdC51n3J+bCtFCzxjFTjx3561LPJ9g55zHR8ErvqEr6JoqRary39zRcH8jMH9iTCUAEjPz5A1+jYW+wXBtH940000YOWwjbSK+M9quTNPUh2tNs49haXlsrJaCTFrox5WEvZkwIFFvC0gGLOFUrT3G6GAJtecvvothVqzeCC1cqCGErCuNJq7KbCYseYzAHqLnjVM7xYMKYqbGisGWtcUTK78JND5dYxOqbfPofuRMf9dxDCxqSZvn0JO1ODUqNeEzqj5YnnSxva+qsX6iPq8swSfe1sddBLS7UfHqGHypHNAP2NU/VhSbIYpt78e0dR/TTukV394XAlyIwbVIUqpkyBkZmfwXUEZ4pABZfE3tz+a4lBK/zIilGtMyVFIoyOpGGdmzSy5VdblIVi5jQ2RHOOKVz/2fNYzsd24oQ49juvdzmIB9I0q3aC0jk/a/+mh7En0lBxNUbseitvH6KNM4zHJrmEsOrT187y4FKK2ulfEcC8U+sLv18fMkaVtTJxhGDx9Pivf6T082e4u5w0jrVZ/o5oTd6xJcsmiVrFRMwJaVOVjCUpyws/u4bVfBvbCRbHjqOAJOrPEnKN762+fRAL911sZnr1I+xgiUoaxZwmSMu6vvjmC30bWjoHUMGnF9/mwKvUKxNjt8nzYXL0QeWWqrrjRr/hLPeFTepEQLj+3vXeOo63IXg0N+nZv17tKbvOSyYPD0ojODNQMkPGKQuOQSZURtVj1o1a2KhPLgyEOP8dPv7663RpYrVcLHtdpIVvN55r1vVVr7D40EAqM33lMrrcGN2hgI84ho5NY+nqlbnJ127L969+UB9J1+aXcyH9xfejfT8/4l3dqo3XnQC/eIOD7BYqxGsBsa/syUomN9MJa+GZpJHpBHFXMgBk1TJ0uXrbCK6WT9PafEV4j+1nPwTbsmoZ5F6eVssjvqo4nuuk0uOCcGBIJZwoLwYiMlnBcxpZUlh9p2VuPApRjM9woRzDVQZdWYYCasgaWXWlr7dce7MjAGvlf9GJRv/qUHAlB3DPW1f80b7hkZ8/69mNh1v2myr3HTQz7X9zyq04fb5XcDwm6SQ6kqkrpJNBuL5POrO7PlyYNCHhNBNNUnkm02y0ZO0qG70O0jhdidfml6Kpb+x/5ADAHeOyG+5OQrz6OQwuNrBW9NDHaVJmxVF4bXm2vG9YTFinon29wfKlffGetcC7Yal5w5Aem+RSJYyH3r7sbdn210dZ9b+zOvYoIsDHLuCxMKuHblo0UiV9mWGzTt7N3mXoq7iKq6/stafH8ssa0nFXvCdhb6atM+5w5ewO+6HVeJeqV2fbNs/f2QQ/g47H3mB38jWk46egCgGeyLA++87JrtXfeK0xpOumb13TApeLK0KvFT882N1xZJtp/BS6lIwHl0re9c5o9qbBhKPvhTs5IGe54M9sVeh7A48Tv1z5LTpq+gARIdry/KWzPPj2wfx0pj52iUfTRlyMUu/y6R9Bv/wPMJolSWlp1v1k6hsUHzzLxXOHKPfT25dVsokbj2SJic6+FMw8MJjQ+aFdLXc/hpVek4Yqs6d/9J0IJ078WoeUX5zk3no1LJx7oelHWy1bzSrh1VcoZxPLAVf3Nu/bLNP2dCz7TByDbsvoOyZrzairGJrY2wxLvXyBR+xvVvzNczTz8gUuG8aepI5PLNuNvTVfCnorexK4V3Kwftlu/stGnRsumz8eVPCieAcTp8L4lmU33Yz00ICqHfhKD4akjgNiXY8uX12aPH4g/bTKxh5CrITJk6cPeh/m6DDTkXPJ2KlD7mTTa2P6wtnkwPuf95o/NsRM4x8mT50+6F2wj+OneNgNEL8zRvm+5y98yLsiXqu1We35s+Feqfy1dvnh8/yYTqHPHaJpqzWB5PFy1Z3aAOpuTrCKbQpusR72I98A79XPrkzMoRVAuR+1PxTAzg+PvrvUlbiFHmJytPTCpQaWp6eR4DXrJzxYe1uK0Qpp2w6zSsuV6DrzNOURELtQ4RD2vneALrUBfO4XydMfPOt9ZJ/tAgRhvPPDg/7lvPwNlof3154681z5fHOMTIfeqz5x9mj5Unss46e4cvoI3efIVzP7cvAcfCcN+zIlfAo5CXv8pY+fptY5+/sKiY2CTwVgZ3Pjp7iQJWGPdoVv3wvHxI0wXB8NexsTCycZrx1/KKh3DK/1m1udhu7Rd7nrvRdux+ieusDlzslZUB9NRjPhjZNifN8+oeXjRam7uzIV+0269xoqu7Vy+sjIr+TK/soA3r02FtDI1Lscp+jHiB17LoM9TmWqo9jEDe96bzQwMGEmFhYY588zXn/dJjW3xua0ttx3QDgAOjYAmg6npBnc7zuiUXSV9MnmcJpRijQjHRZQWPu1XNeOyW8ZgJsRu5U9Wq4WY90dQESuNKQyBWlzIEgSCOUaqWGEwyatRSaVnk0WG+WykV7R1Gs12MPaRubZY8oUCS0LQjVWlaMCweRRpmJpMhJuChIFNmkIY6MI7JkkoKQhdXf9fgrg4Qz68BqfKYAP7z5XFnL/FFShAVVLV1TR7RFxUpVGEBVkM+Db0CUWpspOwiZ0tS45PVmjgGxqekI/TMg/0hh+jUr/HxQyzAyn02DWAAAAAElFTkSuQmCC",xt="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAFAAAABDCAYAAAALU4KYAAAAAXNSR0IArs4c6QAAHF9JREFUeF7VfHlwXMeZ39fHu+bGMbh5H6IIHZYJSTRXh2FvrJiSrJXLxB+J10fkkmwnVsW1STa34H9SlfVuJSsn3lA+lHLWcQWsteO1BItyZUmLtJayQXIpmZQokARBgLgxA8z1jr5S/WYGGIAAL0NV2K4i8d7rfn38+rv7e4PgAyhKKQSArtOzgqX1N7q/0ST1+8vL6uMjBCu9cKNBVqy/3ipvq0OlNHJ9+NChQ6u+f+DAATh69NzC2O+/P4Z27mxbWNTy+2pHK7Wr1tXVZWX1Wvd/vfF7eg6J21rcLW3TbY5Qpr5vkOu9fvLkGEom78LbtwNcuLDYUt9D5b7mMejH1bLkeU3FyZO/lXv2LG7C9cZHqJff5vJugc5vc4Te3l584ABQ/fpuADgHZ6/pyTQfRvF4KmyzUpmdzaOGhvgCRYb3fPEemstv1bbL53/Dg6BhCWuuNn5n5yEGsDZs/AGwcC+GC7NGuMIailoClL0FZyJN5TY1JQMA9ZV/+np50XUrPdft6nMXAuCzS2XbauNv/1awVnLwAwFwdHTeunb5owuPDOMBzNgmKy7ZkgXnCy6Kx5zbEvAl45e+ENnKux0rwL84fkfHIW/9Ath3gIw/VLcEwNZly5nJpQhP7rLDx4Waylj1Wl9UKpbXL7lfbEcyA266jsvxFaBbPj60vuSuXwDVATJ9Lu0ATNcsJR1eZ7Ieqq+zFbU3EkHaI/pZsaZVtOZ6tefL8am2i7MLRRFML2jilcavvpve/e3iOgawj8DMa5GZ2ZqlNpSvczmK9d9Gs41wfEcUwAUAp6ahvtel9lm1ulq3vL78nPD3C5IrCZCFugSXK41f7amx8fuF9QvgkV6a3ThWS0zhvOtSlpovREPzhpgJymHLYhvNzN4ijj5iyFLGtbJwWTsoC4EygMWhvBS5kAIlz9RQYrlej7/QuP7FPELotmRtzW6Hlx+EEqFzly8vSLPygCkAmANitJJCMUDU3EqBpuKWtQJIy2d4k/dYDufy80UZi/pKsPFlhnJ5/GpJbX55ft0CODDwrLGjWcSrk01Ic2GnJ1nUiEIMfCthBKQtAUGllQlgAg3bBQFHYNagVm2jH+nnK9ybplQqGJq3bSaKhQI4VnbBUK4dP1cIQoL5L4c2zPX29l5DpTe5V0uarT0FDjxr5FuMxEqTwWbacEsBCoyEIeXWpKHKoK0GzDV9rARgpZGRH5yTxrxwlKlywRiPRVen7vh301m0bgFUzxqFC1bqWvukAES2mRBxICeSpoDGlKJkiRxCXKDlz26GKrRbkfQvZWyTCygBCDwZrDR+ta/Y9k2zCK1TCjx79oC50WrQQmexVCQiER2hfViQEYuT1hSs4pEiHuDI+F/sxWyuQVE7L2jjrHI6Zlj0vllhNtUwsXZmWNhNQo7OmoYf9pjPXA4iToW69YNlEjnW3DKzbgFUZ3vNYmSqHiI1LFRioajgfqujlW0kVmfkWKP2zFYssezhDpp/a89KlRzsApip2YC0ZWSic4ZbW0qhFKBjMwb1udbmBox4K41f7S+6uWlq/QKoes3S8FwDaF5aKBEAzBFT7bY2PUpuwmIi3QA1JKhJh1KpgAHEp17+EPbGNl2PfXFoUQIobHrCaB5XjQ++EU3Uu57ngYGueiCDGvGgbfbF+UQ2tU2uWwAHB79mtdussbp4p6IoXGQg5jc5YAGUpGUxo71BSiCx8b7dVu6tfUj4aYUxQUAQkqU0kqJWF2uDS4XxEwS+xM4UM9vOY8AcFBMIKYmw9Wu5+TOn9bgJmHLd0EgHqI6/ZDM2NE6sWwDV4Ncs14Gy71ZbkEBF1eEw3hArQV2KESuVHnvpw7GZV/+NAqjQ0/Vobmmdws5FFtn1qsSUCEWIsurPqPY/OGGpuaKBL3ugliqo2red9oax9Qvg0BdsVyaaFijQ5iErTco7Ux5qajRlIe/IQGRlXbp58Ln/hPn8irLuZqBkzo7vKxLNA0gFkY2/KDV/anpeRmMRPDPdyC7mQgqsjF/ur+y6HPrVyNhaRaXX3g4c+oLtWdFKyLPse43xXWkLc+4InyFEUAFsW8qWdNO7n/0Okn77zYC1Uhtub/oxN+qvagLGrR//38JKF5QSKh/ELDAAms2h2SU+YqUT+/jUKFqjsP7aA6h6bW94ZiGC5CMDTbCdrZtiZ8cEbA0NijxznIJMNnec++JLIP2W2wWQWRt/qszGEYEdV2zo+T+OhYOAFSFiThaHC7vaNpJ3rlb7tq0as+bY1ZH1C+DI1x1fwgKAXsDRONzd0U4uTAiz0dFGRtE1HJc2NrWf//xBJPwKta4OI276FOCWp4Gf/3cA/thCw8Da+ioz60fAah9lrd2v21gxzc6Cl4KpIJ3eap1fjKICgGUD+B6AtXF0GKG1OVhaewrUAAK0W2ZZ9unisxi56O3osIApx5CBx+N1nnIaNw9+9k+wdK9VODVY4o4vgXH3/wCECLBzXwdx+b8u1Pr2tp8Ls3U8F+u6QBv3nDZxLjdTII5WINti745aBqsEFcqyz9d+tgayY3Ro/QI49mwERLLdBz+cdDk0bcGMak1OsvQmj2GMQSmkjOjOy5//Eyy9BYVD7/1LQGYjsDN/CBBMA9n8daB3/hkghEDm3oHgrY8BsJlFCnS2vBrQ5vHJ+p7TAaQnFSUkZiNWb04Mx8VQvnZ8gOqMNIDjl9Y1gL5yNlg1ZsQU39aoFBOhoQwYecKITAf1m3Ze/CeLFIgjYH0iCwibIVhyuh/otj8OwRJzvwb2m08CsKVHSgV7198ERttwNv2lX9ZHZy6ZSAYhCyNEGAdopyO1Yd1Fum4fubiOAeyNAOQ3Ls6WoOFgS2urOTRekNr/xcgVxCnKurYNF5/5UyQWKRC3/SEY974csmu1iNmjwAY+BSBCglpSfGfba67T+fZ8Y887STs3YgrGKOXSFmO5Cb6ldaMztKBElrzY+uAgQj1rcri+9jJw4l9EA1+V3bCKL3HV3dnRZAxPBDIdB46Qi6JOTjptGwe/9E0svSUyELd/Hox7vheCKKb6gZ36DICsDecvQuHbO36RS37sDTf1yJUEnRuxBGOMBspU+VJWtje2O4NXzRUM6qPnI4Pd3WtzuP6BAAiKbK7d8YATMhps7ABAKEZZUELx+pxnNm+/+Mx/wLK04PZV38HpTwKK7QZx+UUArVhXKW6k87WJ1ucPK5rkCeqNm6g0X+DUVgTENvviKChYOWj6nnMerVsAp74aC/zI1gUCNMouVV40JMb99FbfB6IAKyYhceeVL/9HLN1rAFwVsWUV2Yan/zxb/wfv+gxMgvg8woQ4BLF6Y+RSjMwVQgaojB++ygTSsTDzQuzcOgawN8ZKuR06TlctOdRRDworijDiXCJf2pEpP7l1x+hX/zURhRvagasBOpL8wsFsvPuibUDQZM0NGhCESoRSCopwGeWjlYMQA4za4G179LdrlR+z9iw8/a/iUBI7qwAyRNCU19HSRK5MzqmW8IBTA5hjyY6N4//2GepP3HOzFLesnRrveOHfu3RjqF1S5tywQUWguFR11nQmw9qam+nwsnP2cgAWNtafWb8ADn4twQjsCrmnsuJRubG9AcYn52VTHQJNgRFnXkQ2JPPHNzZlfvhlUGKFVJDrw+paO4+Ntv3RT0CWNXajnbuMJWdYcWnDbK5AWhtb8fCi21LpTvPF2xn/dFfXS6sL11vY0TWnwMzAs8l40tCJUeXCARgmZJpvaNMHHg51iwVOowWR7NAi3hGXE/HSiTsQzyZvJqYlke271uaruegjl3T3EsoANtDMZYsoPyfMOCWKtdGrV0FL2hWODWiRDaD1CqC6+GySc3o3VXjBldNyD5BCV2HTBlfYcS6RyaSZohSY9kpCICS6djM1otfoUQkYa8VUrtDvBRIMGwUZkyhuYDfXYYyMXDN+ZT8pxQoKwa/XL4Cn/3mKW6xGrpVJgCOE87KlUQiJPHCis0F8CweKpZQkPOSWCrTHhrFSGJDSpTbMipRCEghSSmIJCAmhMMZIEaQkxsBb7NygBdwXXEDKnJmhSqd5VFhgGUvSkvrb9Qvg21+p41h8aLkY4QLhvNHWiKRCRWVE5nlsQ5W6qlkCCikkNH4SIQ1SOdtVW49IaUoNfWiCpK4o96+flNs0WPNDlj4IUVLF5eQMJVUArxVotBOOI7ROZaB6+yt1PvAwyqyl04K/hDCa541NQmLkEyOSDWIbACOFUEhzRCJM9ZmIkBoVicIoPy4TkSZFpC8RKARSEgUCg+RI6YPk8jakzdwQAs4wBhnTAGIVqpdaf616b5G5N1Dnodoch1tQG0ubrrkSUWefqfc9ef+1M8JoRrU0G1ipIkSTMzy2TWBqEE12IBlGgiMlBUFSgqok/lTlH9bWnULlOA5grhCVmFBQiAoVOn1BkzE36CivAFippJiaDsP81xSdVczBsgtH1i2Aubc+10AwfrBKgUDKykRIhDOQbvVpfUtRmQ0+Q4aBWElJIcOQfGWxoSRcojlwmAFVRQPhCvtKrUAkKIIJk0YkbiPPQl7GEdnxlJyeBCVUORVsUZnpSeh7y8r/v/UL4MCzjaZge7XW1fMPlEERsSgDYkzjjrskNqJcKhR4rExfWAOkkEQI6f80n8rKu1q+aWBVJRUNa2rFSkkpNFPrOyUrYNsRE2EEQCTLN/IrZw0QDCOfEylEyMbl/4FgpKyY+/q6AlAv9OjRo4Rv5NHt/L3WeOHi3nCySArFmdaUXApiTNqbu6TChkKYlFyu5Z7mVayx0zgorShC1YH0JWjAwlWHgCLtDWp0Q/moWymtmgGkgZV0TCKVkgID95vYyEmCfC6wRQNhOpbBA40fUUJiEbAibf/r1j0vuGuR4na7MhAdHDhIt7V8KCELzCJRjLgRZcqbJzuyJ2L1pUt7PWzHqIGUB7EUx05S86jWoYEyGzRWSEnJuJCCC6kVgdSISa1BkNLyLiTOZUmQ4XNdo/WLNmkQwpRiTCnBCAGWCiEbs1kCkiuslCG8HOVuHpQStiqVmBCAiGmM1D16eMJqkZayFcW+zy/xfHd3tybRW066vBUA0ZGhIxZANAWGpAF1AtPNBEVMkV8s2rayFLWw0Vo629RYuvAwI7GUAkxN6WaILLkSORGCRMCVIkWIN3NFlqT8aJGv5FKrWd8t8U4qN0jLzNqZKwAKohDFhQmt0zlQwxZuyUd2lJFoSmtnS3lZIrxA9/m+cX9/0dlRcKd8iVsNYVPkUOEZBUNxQwRz+3fs1xr6psC8IYB9fX2k5b6Weh8jR6qSZxIzl/MNwymV4lybDVZKEFvELKJYDuW85vnpjzS6lx6NipkrkWAuk7MaWhhEEolgbEhTFZUsNB88Eot5EKvzsFMnEI0ohWnIytcpmsIw0tyrrySnShQtKM3ZMpe1RSnM35fUNKREuGg2dVgiP+vw3LxnNjbkSWqDIb28E8yOX0j9w7/JkToBTt28VL5FXBe5vpsfg1Z2Z7KUcpGyCWOl47uOZ3tvkAa36oR7jxyhe9pkc4JQnIvkZk+ejwW/tzEelaXZBMcmK8J0xmFOGpwInPzRsfE9T+yptxPRB+u80ciOmdcczUYuiiQKdtvOqJi5FGGZOQnakSoDWC5ly0xraGnYplCmxRUxAyAGAkSkZktNhQpLggXHUps6nNmEeViygITehqh4w+UeGbJNJTgnC3ZgWXlIZBpZo2MXEIxHxPY/HxuLT8buS7c6AfDuzu6J5ft2eOJwFApQbxKTTf9merqnZ+UjgGsBVIAOX/xVGqOSnfWyEz2dPcEPzhyOtlgoyX0DF4rTsz37etxXz726qaiKsz2dPYW+s31mPan/mBAitr1w8u3m+dOhGVMisWTebNpOpfDibGqIosDXjqy2XCiRXHCptFYMJ7/SCUXtF3crWcT6tVASIiwVIUAwUME5yJW9EM+IJwpm8x2X4vteSwStv+jq6mL9g/0J4pHkY3c/NrIS8fcP9lsGNpqZZO7+Hfv1keDSpNDal/rOnjXrjaEOkopOdTd1F7SmO3zucJ3wRZwH3Htq71OTuv2R0z9JZQNFPv3gp8NTr9cGXmvFltorpcSWGZy8b/gvH8BKRTRp5Ei6I6DRtB7WlMG8JQoZLErh5x0o1K6krGVDjStCzat9XKkps0KjVWoVmnM1WiFF1byDsKTA+BIJuhxw/U0KrmvK2a2pK3Ufeask+Ymn7i6vp/9Ufxri4O/fsT/Mp1kFyITDnfp4MX5VA19ts0CBA2M/i8zmzOZP3PG3w9XMpWPDr9R5eRlXgeJvzp+e6q2cI/Sf6e/Yf+/+hVP/vjf76pMx5xG9Yh13ac+fvrK5cPouABV+UMhILFbE8WaOLa04MAElQHKfAneJ8l2ieICUYBg4ByW1tVKO0GgKZAKVoy9lc0YqhCXWDoxhCIRNKr2SKb2ipmQN8AJFh8Z7WZsDwqiI4/Ulo7FtIto5ULSacoZkb3Tf93QYse5TfSR12mr+xIefuiZ+WAvmkSO9NGj9yIZ4Zn5i376e8KQrHECzYDOx2x/d9alQ0Ovy5pt9jmpKxgtFADMzX+ru7ln4yOqnJ37a7Lt+saf6TAH6+d/9VRdGRrNUooAJ5Ovyw7gtf/rOmJhzQoLSThQ2zEBFEgGOxBXGjlDY0CmBoho00KZMCJ7+6libg2V2qVxpWzC0nvXf0MAGFLaj3J2P8cxVinmFMghIKZCOQrgklmQ00ezSem8quuO3JZp0QcLIY3uePllda/+J/oRDhdnd9eTiqf0qlKi58o3zP9scLYyPdnU9V069/eWZv97yyD2nFihPPzv29it13FIkO8fU9N9N55577rkFstWftO576q5txtxvh6rHg0r14kPndlMtM6tj/+T0T1Kb5s5ur+cTO22WbbBkEZCQXLMnBgIKE4MjwxRATUGooRAyhCQUwgADaNc3LNplQ5rwlI4y6CACYwRJRqSmXBZQGSwAxzExpBGN+WAlAxIzXZqYzUXar+RJY04prHX98Nwge6eqFDTxpPJ40z948DMXlny9pBQ6dulnG/yA2MwLgqCIZ5966Knw+ODgwEFje6Sj7eO7Hx9GR468bENTU6q78/FrNNFq8qDayRbSsJn73uT+vZ9dVXZU++g70hfbRC+0JQqZNouwNJZukjDP1qYXUR6mSHsRQmgjZWHcZYag1CyJMJKAiSSUCkVNgakpkI0DaiFOYpJR2/VwNF+iqYxr1BeRlEgb1YgYWSDovcfu/fRUpX907O0fptyS1Wi4DUPd3d3LY9foyOBftVvSjJWyLvYxZB5/oGcBo9ff+2kbv2TMosNnftwUMKPwZNeTtUnN18NuSd1rA/+rFQKISoymPvngP76lT6j07te54ASy6CR8N2L4JZuokgVYGpQzqogR8c34ltDNqygcRAwptLeCDMGRHQSY+giBUBwrrY8kkogI7WJjJaT0iYEmkbSu/P4Dn85ob1Bzz6NPbUowMNOMBfnHH/jiioSj7d+t98U2e4LRIO8DC2j2sd9bAB+OnO2Lgctt9KszP27KsOnCk13P3RaAZRmlUP/R/9lsOGYcMcP3HGfmiT1P/M6+ptb2QeB+NIxOa4EtdZxw5YIQlVLxQCKUF4rNOgRPZ4adOc2qIWgHdkcgJxoFRqawzblP3PP09Gq+sF7PsXd/3EK5SnpKKhkwFgg1U8tpCwBqZeFTSHbXkOdNk98KDc+e7TOvZvONEpvh56wSIw8ymVyh0FI8cOCADrqEmN/MGK8c+2EdxXKf9psxRlJKJInWFIwzAxNf6JwPCkVP+SXfDYownXbPnTunXnhhN/q/R4vxWBwnkABb6kR3jotzdWSmVkavNAcN3slLhxK+T1KKCTsIdCYALU1ePj/Z09O7IN9fP/WjNmPey4SrOfabH259qGvw8lolXtdOrLpBgTvvIItSnfWmbMJxoAS1ZOBzEVi+HwBEeDweiHx+ZwXcX8L78Va0YcrHhU0taqu7VeXzeRWPv48uXSpSqy1Jox41pc0tgpShP5JASoRmk4cIj1mkRANrrmpu3MyGaVOO+DOmKDYkAhlEfOZykZXZYFO6sH/H/nK+HgAMDBw0isLpePTBzw2FAGpFQmNm20Nd/2hoLUI8NzFZ1N//omkYli0j0qIoYkjhESkxEVQTG0GiJLEVt4AxjqQSypCGIlQ7wFhq8DEBwRViuOT6jPne/v3P33QAoHZ+2mA6dKgPb73Lb4JSaV5aiQaPiTgSgTc3wSZiW+twd+eiCdfXd4C0b31881UnMqKpeUGmHDny32MyTptnL9VdXs3vuwlg/t400XLxhRd61Yn3frQJzRfcwCSSStQgBJOlOfuqaZYjsN3dX1z4klkb0pDo2FxQYqyqM5YIZU2J2IENhE9NPPTQH1+bkPf3Bp6VJ9rX12v29PQyHcu8Fxs75jw5ceL10bmPPdHaTHzS4BI1nYkns62ZmejDD381W9ML+sXAwUScm02ZTP7K/v3PL7DzNVpNk/TRo99pxxEwivXu2P4di43XAj+982v1re5q89FGfVWenznzg6bz99izPahHnDnznY4gwNFTp/il8fFx8fEnWjsUV7FCJrioQTlz5gfRe+/9XO3PNZQ9MpVtQ0h6+/Z9Rbt6qwcTaiekd6u9vbFVyyXHIROvvDLu/a4Lf/PN79b7finS3f186EcfO/btOs4dt8ommgOWs0zV09Hs89GP9oqqt3D48Dejjz32L8PF6k0/d+7l5s7Osk136tT32vTfD3/4mbHj730vbhe4zle82NX1XEmLKtPEmwuFwpB+P2TLkFUXEy5Ds+fRtLYiWkxTMcsyxrTbttKG3TCgqgewrOZmAOlwHhQnJuZnDxx4gd2qsunvf9FqakI7u7q+9k510QMDf9F5//1f0T9tFH4Fd/z4f9v90EP/LPypo9CcOPnSHV1dz71X0XytQUD8ffu+FCZKv/PO9zfMzXmFKqu99da3tgjhzFfrT5367qYgKIm9e58fPXjwoHH33cE235+9UAVqOSfo8X7+82+ZqZTRKISIEkKKvj85eaNM1hsCWIt6f/+LiWQS1yGEDADsAjRkRkcPBT09h7TTdV3b7syZb0bPny+yqi2lKSGZtBOaSsqWQC9NpVq23HfflwerAJ448e1dH/nIP31X3+sNSMdF+/0Pfz1MKgoj5S0TdzzyyPPnKnNEx4792Y6HH/4j/X44l4GBg8murufmV2F11NfXh++4Y9jO5YwGE6hd4iwwjGD2VuT/LQFYO5GBgYORYL5Yp2wafoQRBOA7LuRcJ1Oanj6rbgbU2v6qv7nV2blorJ448WJi797nF/zs48f/c7x2cRrUWoF+HRmN+voO4K3Z38f5naVonKKEAGErSZU0zNLs7GT2ySd7b8sTu20Al092YKA3IvORhNCJUpiFqYFKCkaAeNItlq4UkJdOg9TgnjvXqbQJsVa/3aJl4De+0Yt2796N0ulzyHVnSVNTu+1lUNTCpu3jIJyPZZjMVeBG5ufnu24TsOXrXjMAV9p9bbHn86VonIDjs6JpgUmF4kTHALUdQPXBMQdJuTaQfUmwITgrScaQNFNRWf31J0IC5BIDGYbClAF2PZfGDAsjhyDhciIIYIQJogSkKCGpDMEEwwEzzFI8HimupgDWwqr4QAG8mQmqvj5yITZBS8SnU1jQZlvh2TmfJJMmcl0jnJ/jMCVFoAIfpElsYUjCI8Lio05G3EjI38wcfpc2/x+SX4/uLi8icAAAAABJRU5ErkJggg==",bt="data:image/png;base64,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",Yt="data:image/png;base64,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y55rPU6/2tSDzAyKk6tNHav59dGtV5bHtZ11155qCwRfbroOpW49rO156+fDkpM4927cqiBc+Km4R42k8f1MMhnj0PsPCGL25b3PkzavVr3jbyqNsAKn2/In6s1UHq8/XVNbVnjteX1972uVqrHO7XbWekl9ibIIQG9NOjE/oHJvQoXt8Yvtu7Tom90lKSOwa758Yfm8ZF8Z26/QYrz63OdVR1wELY9SlXP2A5U3gBNICbydk1Lfou0cEOIogPMybt7UmHzn2WBgjJ5dhjcRzfFA6bwOC3yoVntDCObkgBCC8JgiJNj7mpwXxyLXBwhi5uQ1LZHJVHmqSZksAk5TqOYbGKWwUAJajSXiRq+SEhnC09crCGG0Z1yhez+KMC2cAUWbrq9dBOiWvNiMWirG0kBdXgmTIjykSYGHkgRFSAvIdMiekrTe5Jfc9gHQzESgWi/XXCUSoAMJPRUF8t6sw/DObje9o8Zcdt/OfAAuj/6y4pQoEZj6zrWej5BqLgIMlooEA0B+RugBBEiF6aiYiUTUgVBPhKQCoEBDLCWhXjBBbNv/ZYUdUcIO7YAI+CbAw8gAJK4EsZ+Y1CDSXCMZ6RBGpxCTEzH4zdbmq98qENUg2bjgCLIyGS1nkOGwtyTCThB8CUOKPo0LAkzGxlLp0dNHuyImWIzESARZGI2UrgnydviHr0rq6hu1EoFhdGxA3/zxt/A334r3uCAqbQzEIARZGgyQq0ty0OjPeIYJ7fcWFAjxoTytaFmmxczz6J8DCqP8cRZyHVueE0UTudX4EduAK88D+NrQFdbbaj/65CRNQJMDCyANDcwJZTssnQHSLP4YFFO/LMxes9Kctt2ECahFgYVSLJPfjF4HJZZk3NjVJn/vV2FNwG8vs6Y5Uf9tzOyagBgEWRjUoch9+E7AWW/5BQHcoPCAvsohKHZmEmGHL0pZv99sIN2QCbSTAwthGgPy4/wSsJROuJ8m9WekJBHgGAB8koBZ3yiDgMnu640H/LXFLJtA2AiyMbePHTwdAwPu3RTyTFI99ahroN0Q0t2WXWB8rCFcuTSv4LgBz3JQJBE2AhTFodPzgjwnMrJgZV3OsppsoNHRrkqC7gNCNJOwGKHUjwm6I0JuIzIqzRcR5drPjqclfTO7e1HD+EBDEXtwOAfeC55w0VQHiKc9/BTwFKFQBSadQEKuA3KcSY/Dk/BsLz3F2mEBbCLAwtoVelD2bXZadhFL9YIlwMAINJoAhBPJ5Z7wUiDoEgwMBzgqxCVfmjs6Vz0VDVrHFDkBZwfT1wzNYhUjlQFhOCOUiUjmSqbznJVftsw21udrWNz8dDQRYGKMhywHGmLM+p4vb1TBUQKlZ/GAwkkcEvd4pHaCJ/zQXBPjfvLSil7//H1PWZwxyueAbbwsxwdppfs6NgPsJqVwuTAEE5aIJNvx09Piv+YRNG8lG2OMsjBGW0GDCyVln6SO5MRWIUgEolQgGB9NP4M/gV1d0HXDDxbM4q9Myn4geDry/4J5AxGoA+gIIygRBWBeX3PHLRUMX1QTXGz8VCQRYGCMhiwHEQESYXTphMAKk0Q9C2CuALlRpiggnUBRT88YWlF/c4ZRNUxIaa6rXE8AwVYwF3okbEL9CgHUIwrrYGGHd4tHLjwbeDT9hVAIsjEbNXAB+T/4is6fbReP/f0Z064XyXpQcwOPqNkUgAPxUEIUZSqL4vTH5dV5y1S4AgHsIwKSuE0H0hrgfAT4UEFf3Su3v5GOKQTA00CMsjAZKViCuZpdNGEgS3Q1EdxFRSiDPBtMWAZoI8QQSVQJCJQFWIkElIlVKIFSiAJXkhuOx7RP3LB259Ky/Nmw7bLGHTu/tS25IBoG6gATJ4Clsi8lA1AWQkoGwCyDIxW6TCekypVVtf+351w7PAMKHiLi6XXLHj/m12z9qRmrFwmikbLXi6+RSywiJ4G7yiKH63wkRUSKi/Qi4iwB3CQLtJBR3JcTi3gWj3jqFiBRunCtppbj28/f7QhMMdEvugYgoVwkfSBeqhV+qtn8I0EAInyDCajE28R/Lblx2XG0b3J/2BFgYtWeumkX5e+HkksxUCeBXBDAeiHqr1TkiVhDAdiDYiaKwCwF29u5pKrf1za9Xy4bW/cz8IrNDdT0MRAEGAsEgILoBgG4kgPZq+OL5wwHwOSL8LSaBViwdWXRSjX65D+0JsDBqz7zNFq0l1q5ADQ8AwBQiatPlUs3OuBFhOwCWIFKpEJtYFi0zH3mGuab0/WEINIaIxgDBGFW2JSG4EHCVgPjmstSCT/Uwm27zwIuiDlgYDZJseXaY48xMJ4SpBHRX276jYT0ibUTEUkShNCGG1vNpkR8Ggrx9yd2EY5BoLCGNQcCriUgIdqgg4reAuKxdfIx90aj8fwfbDz+nHQEWRu1YB2VJnh0i1GcR4YNtmR16fjmBVgmA7yf0SP5yfv/5DUE5FIUPTVs3sVuDu+l/iOTPFXgLAMUHg8GzQAX4ASC8eUXagI9taJOC6YefCT0BFsbQMw7KQnax5aY2zw4Rtgue1znTe1y2K6g0tHho+o7p7eurTt9GEownxF8AUedgekaEwwSYixi3yJ5mPxFMH/xM6AiwMIaObVA9W0sz7yCJngKiUQF3gEAI8DkArkIB3stLdXwbcB/8gN8EbGQzHS6tMEtE4wHoTiIIeKM8ItYCwJtxMaaXeRO53+hD3pCFMeSIWzfg+X5YarlbknAOAF3X+hP/3QIRtxBRbkJC3Hv8DStQeuq1t5ZOvIHcTTkIkBHwSjeCCwjeio2JfWnpmLf2qecV9xQMARbGYKip9Iy8IvpRyd/vQ6A/ENGQQLpFgBpAdIgCLF2W6lAs/hpIf9xWPQLy63Zd1en75e/CQcz85eOIbyPiC/a0wp3qecU9BUKAhTEQWiq1nbJpSkxjXfUEcOOTBNQvoG4RNwsAS+Mv6eTgExcBkQtL48klk651U9ODRDABgDr57cSFzyKrRQGf5z98flNTrSELo2ooW+/IRjbhYGl5Nkg4h4D6tP7EhRY8O/SXlH7bzVo/q9059/FfSxLJIhno5V4fC6I4Oy+1YJt+I4wsz1gYNcpnjtOS5iZ4LZBviPLKJSD+qV1yp3yeHWqUKA3M5KybeLXU5P49Ed3nb93J5uOYufExpjmLx6yo1MDNqDbBwhji9E8pndi7UWp6mQju9deUvOcQEV/sndz/La447S8147Wbsu6BqxobG2cT0iS/N+wjnhOQ5vVOHvgaj43Q5ZyFMURsPTUFa88/QST9Dgja+WMGAcsR4YXeaQMcXNbKH2KR0cZTFq6BfkdAD/o7VgBgnyjA47lpRasjg4K+omBhDEE+ckos90tEf/J3Xxsifg2Az/dJ6/8un4YIQUIM0qV8wqa+SZoFQNP9vUMHET4VMWYWb+BXN8ksjCry9NybTNLrIBcj8ONH3n8ICM/lpRa+z0UG/AAWJU0e2ZrV6Vy1a6YkwaN+rmS7ETEXMG4On6JRZ5CwMKrAUS6meuBkxbMgvzYDiK12ifgdAv4+L61gOQtiq7SitsGUTRmXuM7jXCB60J9xhQinQBAftqcWFEUtNJUCZ2FsI8gc56ThEjUuJ4CrW+vqQlFT4dWESzo+z6vMrdHif/+egGcVu9H9KgHd6g8VRHwvziQ+xKvX/tBSbsPCGCQ7+ZzsQWf5k4A4h4hiWu8GVwsiPMbnl1snxS2UCWQVZ/wSEV/xp8oSAp4kgOn56Y53mWfgBFgYA2cG1pLMIUS0HIhG+PH4DkHER/JSHZ/40ZabMAGfBORTU66a6pkI8DQBdGwNFyKsjEmEGVxNvDVS//3vLIwB8PKcXCnZ8ygQzSOAOF+Per73ID4zLnX8G3yZewCQualfBAL6/ohYKRBOy0svXOVX59xIPm3GP/4QyFk/oZ+7Ucr3Z8UZEVYBxk/lFUJ/yHKbthDILps4ktzut/wpQoKIDiGm3czc0bmn2mIzGp5lYfQjy1lOy90IkE9EST6bI55GxN/Y0woL/OiWmzABVQjMrJgZd/5Y1bMS0eOtrV4jwjEA8R67uWC9KsYjtBMWRh+JlV+dD5RUPA8kzfYj/x8LpnY5eWPzjvnRlpswAdUJXKgH6c4HoEG+P/NgIyA8ak9zLFDdiQjpkIXRSyJnfDkpuba+sYgIftrKIKtGxMfy0grfjJAxwWEYmIBtf1b8wUOuuQDwaKsXeCEWxia2n7J05FK5ijj//IgAC6PCcJD3Jrqp8T0AuKKV0VIcHxdnXfyT/AM8qpiAnghkF2f8RELIB4IBvj//wHYxRvxV7uiCvXryP9y+sDBelIFsp2WSRLDE901wWI8AT+SZC+fzyZVwD2G2742AXAPyjOv484T0CJCvhVY8A0CT8tOL/sE0LxBgYWweCZ79YedrXgWiGT5fnQEPgiDcbU8r2MKDiAkYgUCW0/JzACjweaOhp2K4XMhkwDNcyISF0TOuL1Q1cb/X2lYcBPwkoZ3p/oU3LK8ywi8E+8gEvicw2Tmxrxua/kYEw33+4UdcK8S0s0T7lp6onzFO+zzrigaX65+tHbMSEF+6PW38H3izNouNUQnICzMHDrreAKCsVt6KymNE8WdLU1ccMmqsbfU7qoUxy5l5DYL0MRH08Aby/1ecqxHJmpdW9Le2wubnmYAeCFidGVMJ4PVWqoYfFWNMt+eOWfGNHnzW2oeoFcackswxbok+8FXvTq6oLaJ41zLzil1aJ4btMYFQEsgpsYySiP7qs5gy4mkR8Ze5aYXrQumLHvuOSmG0lmbeQZK00ncZeVydFI8PzL+x8JweE8c+MYG2Emg+b/02EN3itS+EOiC4L9pWrKNOGK3OzAeApGUEYPI+GIQX7WkFT/JWnLb+6vHzeiewklaKa5yrXyagWT58dQMKU/LNhXl6j0ct/6JKGK1Oy+ME9Ceve7rkLQuIj9nTHK+qBZj7YQJGIJBdkvE7ieAlX/sdURCetKcV/tEI8bTVx6gRxqzizD8BeK4eUPxBgCYQBCsXgGjrkOLnjUpAPtxARLm+3qYQ8bW8tMJZkf42FRXC2KooItYi4a/z0gvXGHVQs99MQA0C2cWZ4wjlRRlK8N4f5tvNhdmRLI4RL4zZJZanJIme8zpTRDiFBHfkpRd9rsbA4j6YgNEJNFfp+RCAkr3/3uACu9kx0+ix+niDjNTQALKclt8C0V98RHgUBeFn9rTCnZFLgSNjAoETmLI+Y5CrEdcCUW8f4vFHe3rRk4H3rv8nInbGmOXMzAaQlnn7mCzvUYz23f36H57sYTgJTFs/6fIGV+PHvm7AjNQFmYgURqsz8z4AcnivR4e7UYhL46sHwvlrx7aNQOChUkvnegnWElGK15mjgDMjrehtxAljTsmEX0gkrfJxpemB+NiYsYtHLz9qhIHJPjKBcBPIWZ/TRXLVOr3OHD2VeQSr3Vz4Vrh9Vct+RAljdrHlJgngI2+1FOX7LlDAVL7bWa3hw/1EC4HpG7IuratzlfgotuJGQbjfnlb410hgEjHCmFWcmYIgfUoA7ZUSI19ADgKaeaElEoYtxxAOAlNKJ/Z2Se5SbwsyiNiIhHdGwra3iBDG7LLsHpK7fhMQXaY4YBDPmQS4eVmqY3M4BhTbZAKRQsBzjbDLXQoAlyr/rkGdCDFjcs3Ltxo5ZsMLo6fG3CGXE4hGKc4U5c3bAt2Wl1pUZuREse9MQC8EctZNvNrd6C72us8R8RBi3EgjL24aXhizii3LAWiil79eLgGEX+aZC/+pl0HFfjCBSCCQXTZxpOR2/wuIOnh5SyuJTWx/69KRSxuNGK+hhdFTFILoZS8zRYkA7sk3O+Tb/viHCTABlQlkFU9IRZQLPSsfH0TAN+zpjukqm9WkO8MKY07phNslSfrQ217FSN14qsmoYCNMwE8C1pLMXxN5apsqaokgCFOMeOe6IYXxwdJJAxrdTV96r76Nb+enOzL8zC03YwJMoA0ErE7LXCKa4+1zlojCzUarAm44YZyyaUrHxpqaLwlooJdX6C2dYrqPfXX0q3VtyDU/ygSYgJ8EiAizSyyrieB/FH8nAY6L8cLIZTcWHvGzy7A3M5Qw2sgmHCzZ8wERjYuUBIR9BLADTEAFAtll2Unkrv+CiIZ4+d3c1KdPXKqtb369CuZC3oWhhDGr2PIkAD3vbcqOIN5kNxesDzk1NsAEmEALAp49jo3SBiDqrIwH8/PTHVYjoDOMMFpLJlwPJMl/kWKUhVHIiaY7KYwwuNjH6COQ7cz8mUTSRwAgKv+e4q+MsFPEEMI4a/2sdqddx7cA0CAv3xVft5sdv42+YcgRMwH9Ech2Zj4mkfRn5d9VOBFnMl29eMyKSv15/oNHhhDGLKdlARDN8CKKn41LG//Te/Fet55Bs29MIJoIWIszVhDABC/i+L7dXHSnnnnoXhjlOygk8EzNW/4gnjbF4bVGWu3S82Bg35iAWgSmbJqS0Hi+5itv1XgEAa15aY58teyp3Y+uhdFzIXgNfO3twDqicL/dXPiO2lC4PybABNpOILs44ycSgFxwouX3RsRzsYJ4zdLUFYfabkn9HnQtjFnFllUANF5xsghQYE8vUj4jrT4n7pEJMIEgCGSXWJ6XJFK8FwYRP8tLK7xFj7cN6lYYPXe2kJSrLIp4MKZ9+2FLRy49G0Su+BEmwAQ0IjBl05QYV03NBgC6zsvnsEfyzY7XNHLHbzO6FMbsUsuV5KZtSkVnEVESAG7KNTtK/I6SGzIBJhA2AlnOzGuQpI0EENfCCYQ6QRSH540tKA+bgwqGdSmMVqflI2+nWwTEl/LMjtl6gsi+MAEm4JuAtTjzfwmklxTfABHW281FY/TEUHfCaC2x3EkSrVaGhF9d0XXADbbbocNOAAAFgklEQVShNpeeILIvTIAJ+CbgOc7r3OMkoLGK4iiKFntqQZFeOOpKGJurce8Eor4tAWE9CjiC72zRy9BhP5hAYAR8fyKDw51iLh2ol+IvuhLGbKfFJhE942W2+If8dMcLgaWCWzMBJqAnAtYSy8Mk0XwlnwQBn85Lc8zVg7+6EcbJzol9m8i9U+nqUwTc2/7y5Kvn95/foAdo7AMTYALBEVhJK8WPnKu2AcBQhbfC84IpfkDe2LxjwfWu3lO6EUarM+Pv3uq5CSD8PBKuZFQvbdwTEzAugeZCE2sVvzUivGU3F2WFOzpdCKOvY3+IoPtzleFOIttnAkYjkOXM+AAIftHCbwQSRNOovLErNoUzprAL48yKmXE1R6u+IaB+ClPrehOKQ5aZV+wPJyS2zQSYgLoEsssmDCS39LVSGUEELLOnO1LVtRhYb2EXRqsz4w9EME/RbURbvtnxbGAhcWsmwASMQCDLmfEqEDyi7Cvem5/ueDdccYRVGC8UicADAJTYckqN+6/oHTvEKKXQw5VAtssEjErgoVJL5zo3VABQskIMB2LbJw0I173UYRXGbKflRYnoCaXECijemWcueN+oSWe/mQATaJ1AtjNzhkTSAmUNwAfyzI7lrfeifouwCaM8W2ysgf1ezkOvsZsdP1c/XO6RCTABPRGwkc10sGTPNqVLtBDgG3t60TXh8Ddswuh1tohAAMKwfHOhXIeRf5gAE4hwAjklGePdEqxSnDWGaateWIRxxpeTkmvrGg8ozhYB/mpPL7onwscCh8cEmEAzAc+91M7MXV7uii/OTy+6SWtYYRHGLGfmH4GklhVyeLaodf7ZHhPQBQFrScZkkuBNxVmjyZSi9b5GzYXR12wREP+Wb3b8WheZYieYABPQjIC8n7n66MkDyteY4Lv56Y57NXMGADQXRmtxxgsE8PsWQSKQCWOuW5a2fLuWANgWE2AC+iCQ7cyYLRH8UcEbtyDigLxUx7daeaqpMHpmi/VN+4koqaUw8mxRq6SzHSagRwKPbM3qdPac65CSPggoLMozFypeoRyKWDQVRq8X4/BsMRS55T6ZgOEIZJdYXpEkelThjbIuNhF6Lx1ZdFKLoDQTRrkI7cFDDUeJoMvFgSHie3az41daBMw2mAAT0C8Bq9PaC6Bhn9IZakCcnW92KF6PoHZEmgljTqllottNLXexy9U0BHF4XmqBXKONf5gAE4hyAlan5S0imqQwgfrabnZcqwUezYTR6rSsJ6KfKEyRP8w3F92hRbBsgwkwAf0TyHFOGu6mxi1Knooxpmtyx6z4JtRRaCKMk0smXdskNSrOCEVBvCM3reDDUAfK/TMBJmAcAlanZYfSMUFA4cV8c2HLXS0qh6aJMFqLLYsI6KEWU2PAg33MA660oU1SOS7ujgkwAQMTyCq2PAlAzytpRp65sC8iUijDC7kwTt8xvX3dyTPHFLfoAPIFV6HMLvfNBAxKYNrnWVfUNzQoFqgWREjNSy0qC2VoIRdGqzNjKhEsVviQ2ijGJfRaduOy46EMkPtmAkzAmASszox1RDBaYdb4hj3dMT2UUYVcGLOKLVsB6LqWwggr7eai+0IZHPfNBJiAcQlkFWfI4rdQQRhPxrRv3yOURWwxqzgjpO/q3tIiAN6cl+74zLhpY8+ZABMIJYHmmq3fEYAplHaU+g6LMCJguT3dMUjrYNkeE2ACxiJgdVo+JCLNi1aHRRgFQZiVl1b4F2OliL1lAkxAawLZTkumRFSgtV3thRGhrp2Al7+R6jitdbBsjwkwAWMReHzbxMSqM+5KIkrQ0nPNhRERHXazI1PLINkWE2ACxiVgdWa8RwR3aRmB5sIoiuK43NSCj7UMkm0xASZgXALW0gwruSFPywj+Dww5y0bvBKX/AAAAAElFTkSuQmCC",Hn="data:image/png;base64,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",fr="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAzQAAABkCAYAAABQFHUdAAAAAXNSR0IArs4c6QAAG39JREFUeF7t3XmYHGWdwPGq6p7unvuezJVMJuRgSAIEURQUgQcUhV0UZVniAa4HKiig++jzrOIiwUV9HhYUAosgi7CCoLABFK8VOQwIsoQjx+Qgmclk7iMzkzn6rn3eTDrT71s9V+btnup9vvMPdLrqV+/7+b31Vv2qq7rNG7ZcW2Ic+QuOBMzE/4v/hjwh6XVxcfK7hhEaCUvvhz3y+uEx+X2/JyItbxTI8SLjful9nyUvHwlGpfejlk96nZenxHMsL68fC8nrey35fSNXjhcL5Ujby7FicnvCSnwrLr0fCPilgNGwvH7MVF5H5NdeS96+4ZPbF1eW91heafvxiNwedXs+NV5UXj9myut71fYqyzvbJ6/vUXzipkdub1RePidH6a/yvrq+R2lvPCbHM7xyQPV9j2nL7VHjReX2zr998vYMr9LfmCW1Z8b2xeR4Xq8c0FY84kp/LVPenq3EU9unxrPUfCp+ajyPxyN12I7L7bfV9hlKfuJyew05nKHGswylf2r7lO0rzTPiyvZspT2W0l51+4YS0FLWj8VisoeSj/gM7VO97JgpjZ+5ts9U2jdTfmzFR/VTvdR4pjr+lP4alrx/OMbrDONH3Z7HkgM6/OKG5Geasqcjv472KeNZHT8zjBeleYat+BhKfx35spX9Q2mfurxhK+01lP7asoejfY7l5XjqeLdNOZ6hJNjZH2W+NKbPjzxaDMMx/mxl/1DiqeNBjWfO4GMo+486fpztk/tjK/lQt2co48fZPmW+c+RX9jSV/qd4Ke0Pzvap+ZR9He1Tx7+SD1vNr+KpxjNm2D9NZbzZSv5map+hzAe2sj3H/pRiwCT/kx2XfUzVY4Z8qP1Rx5ut7K+O8eNon7p/qfNdXDk+qfmWAzq3p8wvavsc41mZsBz5N3PMK5677FXHQOAfEEAAAQQQQAABBBBAAIEsEKCgyYIk0UQEEEAAAQQQQAABBBBILUBBw8hAAAEEEEAAAQQQQACBrBWgoMna1NFwBBBAAAEEEEAAAQQQoKBhDCCAAAIIIIAAAggggEDWClDQZG3qaDgCCCCAAAIIIIAAAghQ0DAGEEAAAQQQQAABBBBAIGsFKGiyNnU0HAEEEEAAAQQQQAABBChoGAMIIIAAAggggAACCCCQtQIUNFmbOhqOAAIIIIAAAggggAACFDSMAQQQQAABBBBAAAEEEMhaAQqarE0dDUcAAQQQQAABBBBAAAEKGsYAAggggAACCCCAAAIIZK0ABU3Wpo6GI4AAAggggAACCCCAAAUNYwABBBBAAAEEEEAAAQSyVoCCJmtTR8MRQAABBBBAAAEEEECAgoYxgAACCCCAAAIIIIAAAlkrQEGTtamj4QgggAACCCCAAAIIIEBBwxhAAAEEEEAAAQQQQACBrBWgoMna1NFwBBBAAAEEEEAAAQQQoKBhDCCAAAIIIIAAAggggEDWClDQZG3qaDgCCCCAAAIIIIAAAghQ0DAGEEAAAQQQQAABBBBAIGsFKGiyNnU0HAEEEEAAAQQQQAABBChoGAMIIIAAAggggAACCCCQtQIUNFmbOhqOAAIIIIAAAggggAACFDSMAQQQQAABBBBAAAEEEMhaAQqarE0dDUcAAQQQQAABBBBAAAEKGsYAAggggAACCCCAAAIIZK0ABU3Wpo6GI4AAAggggAACCCCAAAUNYwABBBBAAAEEEEAAAQSyVoCCJmtTR8MRQAABBBBAAAEEEECAgoYxgAACCCCAAAIIIIAAAlkrQEGTtamj4QgggAACCCCAAAIIIEBBwxhAAAEEEEAAAQQQQACBrBWgoMna1NFwBBBAAAEEEEAAAQQQoKBhDCCAAAIIIIAAAggggEDWClDQZG3qaDgCCCCAAAIIIIAAAghQ0DAGEEAAAQQQQAABBBBAIGsFKGiyNnU0HAEEEEAAAQQQQAABBChoGAMIIIAAAggggAACCCCQtQIUNFmbOhqOAAIIIIAAAggggAACFDSMAQQQQAABBBBAAAEEEMhaAQqarE0dDUcAAQQQQAABBBBAAAEKGsYAAggggAACCCCAAAIIZK3AMRc0uZ5c65zaD5QvyV+SW+ov8xmGaRqGnQwhvRBvyP8w+cq2J/7fNuIpIW3DPLLw5DpxO273h/rCrYf2jb3Q9ezBiB11bE9XVhoLlwVOLn9HcXVgUSDgzbMSce0jPbLtqdqtdPlwH5ObeaTfSavL709saSw2Fu0e7wy+0vPSUF+oL6KrX2ocj2kZp5S/s2hJwdK8Mn9ZjilSeuQvkaOpEjz5flL/zCOJTVopPsUQEevHjbjdF+wNvT20e2zncPNYuvop4hZ5i71ry08qqM6tCQQ8ASu5f4kcmGZi3BlG6v5PJi7l+6Yz/4fHuW0bo9GRaPtIW2j74NaRdI5dsb3FeUsCDUWNgXKf2E/F8HWO1+RMSWPwSB9S9S95n5bfn4wfteN2b7ArtHd4z9hQZDiWzpzmmF6zobAxUJNbG/Bb/sP7qZ2Ug8k+TrW/HtkfkzHmMAYORYajbSNtwb5Qb9r20YSfmH/r8pYEygNlOalMj3YhaR+Uc+ScLpNVEsua0voTW4rGI3bneGeoN9iT9n6K7eV5863a3PpAwOszJ48V0x5qjHjynJw8Bo52MvXhIn50Tp+IPxQ5GMlUP8X2CrwFnlKfnNPkeSietO+mnHOTWBJjwJbm4eTj7uTCkVjE7g+n99jy/upzyppK1hRWBioDOR7f5MFlquNiUopSHRflg2lSv44es+T9fCQ6EukKdgaf7/hz//7R1lC65qIyf7n37JpzK8Q8VOQrPrJ/Zu7cKBqP2r3B7tDOwZ0jr/S9NJSufoq4a0pPKjihdHVBpb8q4DuS0+RcpTo3stVTwUS+jh4uk3I5/bmRPRwZjnaOHgi+2PuXg2PRsdQTuwYAv+U3T6t6T4nIabG/xDvdedHUx8W5nxsl9vFIPBLvCXaFth/cOtI+1p62sSvaXpNX41tV1FSwKLfa77Vyjs65E/2a6EM6z40GwwOR9tEDwe2D20bnmrpjKmjq8ur9l6/47OL8nIKjiZ3rhnUuPxDqD9+/8962dEzIH66/sPL06jPLTUOaf3U2f9axIrGw/fsDT3e91LtZ+yRV7qvIWb/i03XiBH/WDUrjgs2DOw49sve/OsLxsPZC9fSq9xafW3f+Ir9n4qR3If/E2H285dGOfYf2BnW3I9+T77m48ZLq40tWF+qOPdd4Yuw+3/Vc7zOdfxiY67qzWf74kqa8Cxd/pKbUn/oEfzYxdC0jxu4TLY91D0eHorpiJuKIou28+g+Vv7vqjAqP6dEdfk7xxNj9deumrnRdfFiUW+37SMPHqsUFljk1TPPCoVgwvrn7hb5nO/9nIDbFxav5bvJdle8uOqvm3MrioyfA84049/VDsVD87eHdI0+1burROXZ9ls+8sumqhurcWlccW0Sx+8f233Y/3/XswbkrTb/GSWXrCj7a8PE6tWDTvZ3Zxts/0jL2n7vuadN9HBUXPz+x/Iq6VcVNC35sERajkZHYY/seaU/HXLSscHnuJY2X1hX5JguZ2frrXk5c9n2556X+p/Zv6tUdW8S7cPFFladVnV5umQt+amQcGGkd/+W+X3TM5SL+nAsaMTl9ZfXXGsv85b50gB5rzPbRA+N3N9/eqvOA846KUwsvXnpp3bG2KR3ricn4vl13t+g8ARaT0xeP/+rS2vw6VxxwEm5vDGwZfHTvQ106HcWJ76eW/9MSnTHnG2s8Ohb78dZ/36fzJEK06bMrr1y8rGh5/nzbp3P9Pxz4bfdzXc9oPZEQn0B9vunLSxf6BD/ZqTfYE9q47dYW3Z++rT/u0zWrS9cW68zJfGM9uOe+/c2DO7R+oloVqMr5UtNXG30uuOiQ8BGF6oN77mufr5e6/kVLPlr1rqrTy3THPdZ4weh4/D+a79in65Opjy29tPqUilNLjrU96VgvZseMe5vvatk/2qrtQpL4ZObqE65d5vcEFv5sMAnt9f7XBn+572Gtx9ELFl9Uefqi95anIzfHGjMdx1HxielXV3+90S0X7xM2vz/wG+0F+VnV55SdV/+hqmP1T8d6PeNdoY3bbmuJGrFZXdiec0FzQsma/E8sv3xxOho/35j37NjY0jLaom2CuqrpWted5Asj3QfWNaVr8y877tOuzOktb31/z0CoX9uV7qubrltak++OK4XJ4/1vvS8f3NT6q+757gOJ9VeXrMlf78L9NBaP2d/bcsPukB3UdnvAVU3XNtTm1+XqstMV55mOP/b8qUPfJ1JuLMaF1UhkJPqDN27ck7hdS4fflcdfvWRJQcOCfjKTqh/iKvBr/a8e0tFHEWN50Yrcz6z8QoOueLriiAuEd+74Uet841mGaVy/bsNKNxWmiT7pnnPPrflA+dl151XO10z3+uIi6IYt1+/U9SmNuAB6/ckbVrnlU6hkr+e7nun9/YHf9usyPK/ug+Xik1Nd8XTFERcdNrz+nV264rk5p+IugJd6Nw/Opq9zLmjcmmDR2afbnura3P38rDo+E46YiG845eZVHsuz8PeaKY0dCg9Gfvjm996eqQ+zff/8+gsq3ld9VsVsl8/kcjpPIMTtOtefctMqN13JT1h2jXcEb992a4suW3Gr5BnV73fVFbRE3x7Y9dP9um4NEJ8Yf3vdja7M6d7hPaM/3XV3m66cuvGqaKJvd2y/dW/nWEdYR19FTq9ft2GVG257UPuzdeDNoYf3Ptipo58ihrjF4z0uu9Kd6NvNr9+4eyR6aF7PvVX4K3OuW/uN43R56Ywjbse6u3njfl0xP3Hc5bUnlK4p0hVPZ5x7d96l7a6Omrxa39UnXLdMZ/t0xdo1tHPkZ7vvPaAr3uUrPle/snhVga54OuP8eNste7vHu7TMuUvyG/xXNl3dqLN9umK92b9l6JF9D81qzp1zQePG27AScA/t+VnbtsGtc36QaCr4b574reVuuG9SbV/HaHtw447btJ38nll9VukH6y9YpGsA6ozz8z33tx3Lw2Gp2jBxFeLGVTkev+uK1I7R9vGNO26b9xXRRL8/vPjvKs5YdKYri9QHd9/X1jy0Q8t+Kh6O/9a67650wzNu6pg7MNI2flfzj7Xl1I237iT6fP+ue/fvHt6p5bYz8Tzf1078pitPgsWX0Pxk553aToI/ueKK2qbi1f9vT4LdfOVX9y3Nbr7g8IPXb9qj65Zm8SUd3zr5hpU6j/O6Yum+ve4flq2vPqlsnatul0xY/fCNDbt1fdFOlX+R75q1/+zKIvW1vlcHH2t5ZFa3TM65oCnKKfRcu+abx7nhgerknWA8Oh6/5a2b94zHxrXdynJJ42XVJ5ef4rrBvLn7+b6n257q0zUJ1ObW+b+8+ppGt50UigfJf/DmTbt15vTzq760eGnhMlc9VyLy+NeezVof9HPrraHi9od/e/2GXTpzet2abyyrCFS66pk+kdOXu18ceLLtv3t07aenVZ5e/PcNH63RFU9XHPHNNzdt+c6uYEzfbYTfPvm7K3K9eQv7rQcpgP7avXngqbZN2nLq1tuUxMPHG177zs5QPDSre9enG0tu/eTi4bcfaNt68C0tF1ZE/xsLluV+7vgvue72QfEcwo+23bJP1/4u4rj1dvxf7ftF+5b+/9V2S+g7Kt5VdPHSS2p12umIJb6Q5Za3vr9XR6xEjH856V+Xu+1ZIdG2TS2/7Phb3yvDs+nrnAsaEdSNSX707Z+3v3HwdW0DWfRTXP39yuqvNy7kN8+oSRRfa3zHtttaIrbeb/9y460POm8hTDhW59b4vnj81Y1uuv93ODwYvX37rXt1f+3kZ1Z+oX550QpXfVyu+x5nkdfVJScWrF/+qfrZTHiZWkY8oHrH9lv3DYYHtT3/5dYvZNH9LILIkRtP9MUFlruab9+n6zYP0U/xIPlVTdcsC3hzXfUg+baBt4Yf2vtAh479Jc+bZ3256ZpGN3wDYaI/r/X97eBjLY9qe2YxEddtn9KIMfuT5jtbOsb1ftWvG4+ju4aaD/1s90+1f2nHZ1d9oX5ZoXuOo+Jiw/277m3dM7x7XMf+mYghvoL7suM+6arj6P6R1rF7mjfun+3zmcdU0AgA8TDj+XUXLqrOrw6Yh3/bYmH+xNWH37Q92aU7uYneFHgLPRc1XLyoqfSEooXsp2iPuJfw1/uf6BmNjc7rvuZUmRLPDL2v+uzSs2vOqVroW7LGo+OxP7b/rufl3he1fz216Lv4GsaLGi6uccNVfXFb0uOtj3bqPElK5FecSHxkycerV5etXfBbWsS3Cr3S81L/021P9s52cprLjHLGojNLzq39QJUbHj4eCg9FHm95pCMdc5L4jYB/XPapuopApX8uPuladufQjkMP73mgQ/e3uYn2Xtq4vubE8nWu+Ea3SCxkP7l/U4fOLwRIPpH42NJLat0wdkWbuse7gvc037lf56eo4nc8Plj34cpVpU2FJb7SlL+dlK4xmogrPkkcCPaHX+j6c99sr/geS5vEb7mdU3tuxcTv8y3MnzjpbT3UMvpEy+PdPaFuLc9ZqD0RRc1FDRcv+Neqiy+aebHnL/1/av9dfzrmIXEh6UP1F1S+s+rdZQt9DngwNBD5ddumTt3fKpnI7SnlpxaeX39BdX5OwYJ/Or794NbhJ1of6x6Jjsz6fPeYC5oEgEh2hb/SJ36EMfFDjFZSgWPbtuN5heQfbBQn0ok/05qhMLInFjZNS/wIp9011hnWOelON/XkmD6zLq/Wn5eTryQ6qf1JARJ9tO2kX6dM8b7c46RYSasdihyKtY8cCOn8Zqip+ir6WV9Q76/wV/iE8+G/I31I3ZPDGTm8mJRL+Uc5nWMgKdeJW93i8ZjdNd4Zbh87ENT1jSxT9VPc2y2+7rcmry6QK10dncxIogvmkXF3uKfW9I/fJN+2N90YED+s2TF2IKjz67en6qv43aiGwsbccn95jpk0HlPnM6n/ib5K+7Cz/1Puz6ZhiB/W7B7tDL99aPdoT5p/iLHEV+JtKl5dUJtf5/dZfkv5YdijDU/kKPn9VHbJuU4eAxM/Tir/Ccvh8HC0c6wjuKX/1eF0jl8xdk+tOK14ccHiQHFO2cTcO0XyJ8fg5CLJy6Y2mFxicp+enMdjRjzeM94d3jXUPKLr+bapxu6qoqa8teVrCyv91QGfJ8cBf3SOOjwLzfho3MTxI/mYM/WkdrhJh8LDh3/U+IXu5wYGQgPaPm1T+1vmL/OeWX1OeW1eXaDYV5IzRU+S/nnif5Obn7r/UqSkfWCiBYn8R+PReF+oN7RzsHnkL93PHtT58wdqX8UPGfvM1L8BZh2Zc+Qxmpz2FPNPyjnNeSwdCg9G07lfqv0Ud3hM/ED1ZPuP5dxotudFiXOjaDwS7xzrDOu+i2OqffTwj/zm1/t9lk/ZP53nRvKc7Nz55GNJ8hYT413O/0CwP9o13hFKRyGTKp/ix4xL/SXeo+3M0LlRJB6Od411htrH2kLp3DdFn8U5fUPB0oD4TcIcK3kqmkivNOccw7nRTGNgMHQw0jbWMi7G8FRjbqp/n3dBM9cNsjwCCCCAAAIIIIAAAgggoEuAgkaXJHEQQAABBBBAAAEEEEAg4wIUNBknZ4MIIIAAAggggAACCCCgS4CCRpckcRBAAAEEEEAAAQQQQCDjAhQ0GSdngwgggAACCCCAAAIIIKBLgIJGlyRxEEAAAQQQQAABBBBAIOMCFDQZJ2eDCCCAAAIIIIAAAgggoEuAgkaXJHEQQAABBBBAAAEEEEAg4wIUNBknZ4MIIIAAAggggAACCCCgS4CCRpckcRBAAAEEEEAAAQQQQCDjAhQ0GSdngwgggAACCCCAAAIIIKBLgIJGlyRxEEAAAQQQQAABBBBAIOMCFDQZJ2eDCCCAAAIIIIAAAgggoEuAgkaXJHEQQAABBBBAAAEEEEAg4wIUNBknZ4MIIIAAAggggAACCCCgS4CCRpckcRBAAAEEEEAAAQQQQCDjAhQ0GSdngwgggAACCCCAAAIIIKBLgIJGlyRxEEAAAQQQQAABBBBAIOMCFDQZJ2eDCCCAAAIIIIAAAgggoEuAgkaXJHEQQAABBBBAAAEEEEAg4wIUNBknZ4MIIIAAAggggAACCCCgS4CCRpckcRBAAAEEEEAAAQQQQCDjAhQ0GSdngwgggAACCCCAAAIIIKBLgIJGlyRxEEAAAQQQQAABBBBAIOMCFDQZJ2eDCCCAAAIIIIAAAgggoEuAgkaXJHEQQAABBBBAAAEEEEAg4wIUNBknZ4M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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,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",SK="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALQAAACYCAYAAABNo8N/AAAAAXNSR0IArs4c6QAAIABJREFUeF7svQmUZsdVJnhvRLztX3OtfZNU2kqWF2QMmM3mAN3tpqGbRmJfBhjDwBG2B69Dn1aqafA62Fi0D2iaHvf0GWaQu5k2PkBz4IxtmIFhRgK8SJZdJVVJlbVm5fZvb4uIO77x/pf1559/bpWVlqpPxjlV9/0Z8WJ737vvxr03biDcoomIEBHL3hMA8A+mmyciBEQCppzKa6ZcSVE3MS2yi2umm1c+osQm7a25Y6j88OB43ETE/fqajf+Gxv0S3LQyIy9B2ztq0gGsX8MMPIoz8AgxLf70yFdh+Gifrm1m5tFHYeaRR4BpUfwRgkcfRUe/mobrK+tm6sqXZZly+X5dTItUtl3UP3z/zFdfvpmvvnxMXf5wf4a6PFx/eS/TUf3djfG7l/4WSLc0oB/tA+Jmz/PTn/gE3vfgg8SU6y6vmd6Mtk594hP4zIMPElOur7xmejPq32kdw+N/4sEH7Q1/nXbamW3ef8sCeoZInLpBQH8CAB78KlCZDqa5z3zGzccbvvrvM33Kvz8Dn4U3wLc7WuQX10yL/Ov3FPVxOc7bWvnh9oaf4XD9w+VPveEN23oR1ht/2W45N0zdCweP0gzO2G1i6yUpfksDGj7zGTFy1tYicjXiRiDo4lNfwUPReDEfTzNb7tNRDZR5TEel4fuHy29W/3CdG9x/cXGRDt1112pA38D4VzW55g16g51B3AP0br6izKEvPvWU5DYOPfAAXXzqKWTKv8trpqP6MKq8q6fddvVNHDlCC7OzyJR/l9dMR+VvNs7N7h/OH65vo/7MxzFN/qN/ZHY6/nJORs0nAOwBerOHvNN8B2gAB8C16SkAeAAAmI5KZR5TTk/B4jMRvulUpc/xTwDAOQBgyqm8ZsppOH+4jc3K7zT/enttAPriVwG3ugfbH//q+Vo9P4cAzB6H3iliN7n/wSeekHDffesAevXNaySEU04wBGDKksUzAPdVroqDwd0O0IeYy/cp/y6vmbr8gwAXLxXU5fevmW4lf3how/UB18N19+sbbn/w/mfPnaPZZtNsNF1bGv+pYh44rZFwnn7afOKhhzZsY5cf95arv2Vl6CeI5F+eOaO2PNKBgpMnT9L8mTPIlP/srpXCU9XqyPqa09O0PDeHTLl8ec30Rtofvmcn9b9w6RK9WKno7fRj5Pj7czKqnm89eVI/hLgH6O1M8nbLOkDDjQG6fU5h/YQmptwuX6dPLctvOF7bEsffbl93s/yCSe2L+7cH6FHjL/82EtCwB+jdfIaubgb0M3DO4+tz5wBOnCioS5uJwMO9OwHgXwrEAwdDb3FxEcYXARbHwVFO5TVTTkw4q/8TFhcBxsfBUZffv2bq7h+4x+UP1T9c4Zr6htory4/fPg7ta1ftX3aCfKfj32jJcOLEOT2Db9zWV2DXAbBOAzflk/lSdH7m059WT58MHKCPwFGYhfOOOgAd0TQ+q5CpA1D/min/LssyLdN0K5VHa5Ne0/2hCcuwDE0ofg2ntGEpaAlkynnlNdObUX6z+Sz7tgwASS0zrV6Y73T8g20Oz2fzyJF8BnEP0Js9mJ3kz9Cn1TKcdIDeLHUvXcHqwf3ElMuW10z5N//9kIrEVCaCUXWF9Rol7Q4yHZVf5jHdyv3D5Yfr32p9++qHaNFcM8+O+9lGc7CV8Q/Oz3Bdhw4+kO0BejOU7TB/hkhdhEv+lqoZ0hqMumfM8+R9aeAnYgQoawDQAQCmo1KZx3RUGr5/uPxm+cN19svXawAv2NycbXrphvOwhfFvdP+hgwf3AL0loO2gEAO6c+WK46hX4Arsh/2Ojk77XSkApmsT/1V2u+qByr7iBRkC2Bq8djoAtRoA01E3rKC/yK9BDTrQcZTTmvo2BfTqO8r6FCJmea4/6y2kOx3/+rMD0JqdzR5/7WvzHTyur9mtt6wM/eYnn/QaDxxxAOzNzWNlepKY8u/29CTV5+aRKf8ur5mOyneAXuyq+7x9QQ26awA3jLek18OwUiGmXJ+uVEj1esiUf5fXTPl3WZYp/x6+fzh/GPDr1QfVKizYXD+TLKc7Hf8goMvrkj1EMJs9jnuA3tW38s30pKfgWCHzzgHAdJ/y7/Ka6VbyAaCxHHt3q8jVl8U99KMKMeXf5TXTkYPqAUCF36x+bnnNdFTaZvl1+zM1RRlY/bm5JNnp+Ae7mVxbwHBqgpi6F3Tq7uRxxD0OvZuIfjORp699ORzdxiSbSwCA6dqULj2HRR6XAQjGxuhYYrz9USPyIyKACABiKCin8prpqPTSlFdxgj2d5v+f1HG6tDTwtS3GFozdsY4XXjk3xfjXptXz1756Nf3EffdtuPDczWe9nbpvXZGDyAsWzjjELbBDUZ+OGnwwMUbpwhKWtLq0jN2xJjHl8qwn/oao7kWBjBjEw/AcrnMY3rtdfrj9sj0ec2K8/I/bL8albnywrD/WLNSKA+Pn39WFJexOjBHTUfNXziVTTpMTWTKDe4Dezou17bK/Q+Q9tfj8yI96MD5G6eISMuWKy2um2XILx8bGIG21MWjUXX5vwdKJfRX/tqwZZphgjgl6FBJTzi+vmfLvzfKHB7Npef7OJCxsF3fmaYJeEBJT137/mulgvkoRF7TOn+rM9iIhV5gTj4vHp44ddubqwfE7gA/NzzBHSHEJAxojplz+0Pjt8QziHofeNkq3ccPM00/7Fw+GpUwwdOcaW96KrY4BPfjw3Y3NJtwuA+9QrVnUlyQAYVjQkWkIgUM/196/pkAfvevVv7WJEEmCS4GXf37uYim9929kg9AymPqRvhfesK1yeLqGTZurTZ97gN7a89hRqRl62l9aqjgOvQQAY306qtIyj2mIAlMUWDzyfmq1YGp8yjuqydXHSl1eHZbK3fK6tLoM5+9oIANtbbX+sj8SEGOj87/tLXWPNhrXx9Pv0KLVDtCD4x81X5vl16/p+LE779xY173TSbhJ99+yMvQMkX9l+cXqqHkImg1Kl1vIdDg/BMT80hXp16qUdbpu/Im1dGh8yt/fTarGL8SQweRBSDkkyJT/Xl4zHdW+F4aUJwkydeX710z596b5W2xPYoaJ1fmXusudUFw3u5djMwf3jTRXl3PDdCs4UnNZbw/QW5mpHZTZCNAbVSs6PRE2mgidNkCtXhTttGFfc8JvaqoWXHITnhwEAGkKwNSx9P41063cP9TBHBE9ImLqAN+/ZrrZFBnfy760eLU7qlyvEo52+Ww2AZaXnajlUnnN1KXy+1Xkq+Zc7zHc49CbPYsd5T98+nTQ2xeO5NAbVSy7PdEQctVexJSIjvhRMGWDajrSm2NHXd21mwMIwFqbfT6e6wQDQTrKBq/q3Hjr+J9sp1NmQfc+ftttOxP4t9PgDspu6ZOzg/p37daH6XRg25GzJbfZGtinoxos85g2UIoailWAXiSiqdyEdRtUDeYY+R7xkr50FLG+TyLLkCnXX14z5d9l2VINoHyfdJYh062U53YG2xsew3rte51c5FKmp2XSHkfEYTZ9trVkvFqVBsc/an6G52+4fLeedz+Oe4DeNTBzxQzotF11MoMHNcqhg0xdo8NPpN0CqDcA2q0+oOsCgB9/weCXoIeHhfIrxj17UACkAZAp/y6vmRb5PmnIkGkxyNWQXlN+COCQZQC+D46OrH91+8MTeb1+H2MbZ1dkpeVDDz3oWzJ5WF12XGoVHHpg/EVdDQBo9SmvCYq5Y1rMp6UcBDLl39P1w90ZxD0OvZuIfpgoSNuX+kLw1ltqoBC+kKt2pvhEVJNe0NCqJiC/pb5aCZnsmqBWNkLkuNRa0l61uqkcvtnsHaof7OwBerNZ2mH+zNmz4QtT4UhAb+TtGcaJ9EVdKmfi7qdeDDXPD571eq/oYbZGt80rK34D1ttUV+YpkDQu/KVX98JVbn/sBMGO26UzRHnN9JLMotMq2afRRGX9ZX3r7Qcr+8O96kmbp6hmX5k3LpTDKS2JrfbyTQG0WtKdDx89up7df4dP8ubefktxo8GhM6AvT0X87dw0eUCUAyLTEKVsCiHjAVOEiiL6o/DMWzsif8emlW2hgAC8Nm6D3//h9pF/FxEZA4ASgJjy7Xz9+7WLb7oskwczhFcB0OiAOVtoqyyChE+e6o3/zB1pkz0BXFrQy7mqVGhw/COrLF1hmXIaco9VNd35MO4BehuPY/tFZ+hseBmmCkB3ugC1akE3SRNCSkyEUtH1SKUaiD4VvvixDO33bnb/dvI9wi9/Yzb9zm8wk+dLufl5vzf2x/L8BxO0ZVCQ7VS5YVkf5O/9s/jYu8pCS1bnrMHZfgN9Iby/xohqS+09QG9/Frd1x9vOn4/a474D9Orpv77cK+E9mF9LMqUqVcm+E+UqRxHRp8Zf+DcZ2n+yrU5sobAH4tkfnj/2U1VS+qrKqp9szv47jfaOLdy67SICxOkHF098Z+kWMufrLAOizeZns4ZEy7QfP3RoyLy+2V0vTf4tK3K8jc5HaTdwmn+vWqG820Om/Lu8Zjo8rbVUqorIXPwNVVryiOg/h+d+K90FQHM7k8b/nR/pHv/dj9fP/ss26u8p+zQOCn4S9sMroAJjrFu5gfTbcAn+3Bn/AQTACz8Bp75NJymqMKDLvW6e3RCHXt0RXdWtx3EP0DfweLZ+y9uIorQ7N3JbtkZE5rpM1wAahWqkmdRhhCopPsdJksCfHLj00RRWc+ijOvzVfRQ+t1mvyABeUPFrrqj0l0aVlQTzr8snf/Gv/YX/DaAIov4KqMLjcBIY1DtJ/xJegE/AtT6g8YWHlm5/Qzn+a45Drw0CX84N0620vQforczSDsswoKl3jf1q3EaRwQ0jG1VdQ6GmM+3pIFh5mMtpAn/WuPTRFM0K91QgZt9y5XgZUXZVletpLT66/9xnAWjkxt2GUZ9qSe1EGh8EfBJOwQlnYt9ZegRehCfclh3m0PjC9yd3vLGsccnm6ShAD2+o2WwDzVhlankGcU/k2Nmj2vjuN1+8WPGbngP0dlKQ5d5UVBnSiKXw+/7FjyZo/nFZlwLxwi8tHP+R7dT94fGz/yfhaJRKwqsGaR/X9zqow7+Hu7ZT9bplhwH94+kd31EWvmp1mm+RC2/UmbBtlj904MDmK+6bMqKdVXLLytBvposVv9cHNHuR9noAhTcp6DhGVsUx5d+Dn9imUJ6X5V4Q+La0/HGZ/+Sf/c1VgCa8/N8t3ek4tFCKrNbIlH+X10zL6U8R5f809pU/I6B1YoVwfOVCPfdjsA9+pR8UZ2ePjw+fWM2hfxzu+w6dJqiCkM4vzOc2CuywiLGRSDaqP7VIL30I9wC902e14f0M6CqMuWBbcdyDKKo4ymnNlqioAsB5UQWagB602qoRBJD2veNk4NPvDQGa6xk3wRM18s4yCtmxuFQWl9fXY9haWML8VW2Z/8OtDPqn4QC8Aw5vpeimZdYAunX0O0tfwTnW2kWB5XGX49/KfA1vMatFk0sfWusqsmnfXooCtyyHniGqzMcL5ba3Lc9dE6VXyXNPUemHAWACoCf8538zRvOmLVe0g4K7BmiCF3+qfed3ll2bNZ2UwnDHkfdNxyx9bN++9cLo7GAmbv6ttzSgr8YLI7d1yygiE8fIlKesvGZazbQfCLFKtcBOSJ+szX74lgc0wIvf3z7+3RU/oF6WYkvJmKLQDo7/hiAUmcWP4R6gb2jutnrT2y9frtr9DcehdZygikJi6mTm/jVT/p3EALz7kGk1y/xA5GrQ4bTh+/b3/Oc/ktzqHBrwxYfax/+B9Gtksg62PRlTGNjB8Rfzu1qoCKMIkjgGpqPmU0d6YQ/QW0XmDZZ7O12uZrE/OvDGBnVWcumrUHhBSpYdngWiJ1pJ8AeTl97Xxmzlc32D3drSbbsmcgC++MPtY99tIHAv9pJnEku0VuSIQoA4AWDq8N2/ZjoiTUTjCzOIeyLHlp7uDRZ6O1E1Tpamtnu7n+VeKKQfJTaqBEGEtog4+r/XzvyLttR8fpRLCJi/vjf18P3J5PPOI7pvALGgUYMRn2pe/qk5Gf/gdtvn8rsFaAXiwo+37viBNJRdC0l+LdYpBcGOZehqRy98YHqa9wG87NMtK0P/wtWrNZyuOw7tJQnmYUhM+XcOIXmQIFOX379mOpFAM1DhhMwyHwJpKZd5LrL4P9bP/qse6u8un5gH4vzPd+/6Wf5tuwZFVRJT/k2BpL9WV1/1d9WFD9zIE94tQEvCiz+zeMd/k0tFKLLkMqgrqeelg+N389OfK6aj+j8cdEFCZ+EDuAfoG3nWW77nF+hqzU/qfQ5duuOUn8y1cTNEO/fHACYrwq9BVws1IbpZl3o9azNdBfNH3vO/EeN1tZtHYvZnF+/6b12H2AGU9wQw7af/pzZ//99FLzdAw/kfi+/85yLzazLPwtTzEwN2aWFMLA4Gslm5Xme6hh+CD535PUBvGZo3VpABLRK/DMc4VMnqXdv1PA8qmXdIhAbJ2hiF6HWzTEuf/ZN9MET0X6rPfaiH+h+UFUkQiz+9ePePiVG+ECDhz6PZb/5yuPQrN9L73ePQcP77ure/if0PQ5tEwopIWi9MIG3NV/wr1yONbK/X2DPzj01O8p6tl326ZUWOGaLacrrsTMl5EJCXpsjUiRj9a6YKUDY6dByUgo7Nrmhl86aRq50oPM/+58qZDw4CmuuJSH4+sur6uRX9x0mAsiXSbzBI5TEr23rQuwZowPM/0L37e2SeY+55dtn0kn1eMO4nuC+RdGUxoPWiM27Yfx2Ya4/hHqC39ZC3W9gBGlIH6I1SM7ZTspUe6FXVmY5n0iZK38eAd6iu7OuWRPSfvC8xoFdk6M3q3Un+bgL6B/P7V3y6e57tpgC2GadTfhoeuiJbX7K+p9ksXprHtzIODcG1xxD3OPRWJutGy7yT5uoEdQfoJE0gDEJHi3Rdhj7YMne3JS4uV8Ucb32q5XkwHgR+L8vA6/vFJZlPf1x55gPd/woA/WD39u8tdzC2rOzlvu8E/32t/DUtD88kkWqHAc8ZANNi/oprpm72hvMhmNsD9I0idYv3MaDz1B99xsRA5KOJJXMqi/DKMuQLMggcoKUxgQceGK/wFZYe0R+IMx/oSv1dW2x+R8V2lUP37vm+EtAdY1YAPdGyr459ej4OZWtt9L6Nh+P3zNz7JyZWQgHuaPC7fPMtK0O/k6iepK0DDpBBQCZNkenwfNUW6aCEvNkeD85YIF3L8sCLTSg9j0zeD1lQ8ewn1en3d/HWB/SP9O75p+UcLEvTzQPfBMtJs5L5d3Sa8gu5T3k5V0xHzd9wfhSYq+/HPUDv6rvIgCZIHaA3SgrQC6/pO8ijOI7okgstgyL08uthBdiv81PR6ffd8oAmmP2x+N4VQM9VZNtvmWaYw2GQdqk75rlQB5tFTx2O7CcguPp+xD0OvRnYdpL/8Px8w6tWRwN66IngsqlXE3Mos34uVdYJApkKArIekMgBrY/yD/3T7+3IfGW3x076ttm9uyZyEMz+cOvef2YrQEajl3dNhIYaEkWvNUazgrzRoUU2iU1p4/jqR8bHi42LL/N0y4ocD9N8I0qrB3l+dQCkUkCm/NukgDIAYsq/+XllialWenraB4wsi8/odWUARqEJ0KD3H6tn3r0s82/5Wjyv3QM0XvzB9NQP9RazqpK2Qto3xhfLtiGupES21FVuNl/l3DHl+WhAcHUGcQ/QuwmOR4gaMaQO0JuGv+13xGS5rMfqgJfkJxJTLJ28wLMgafkP6mfe0pbZt+9mn8u6dwvQPsmr/+TyPW9XkFaF5y9nFTqdV+SOfTAqEFzZA/QuI4MB3YHs0MhmhsOB9sN71hDHqhmOWZ030gwos5mQoEROlP/51PNvbav8m3e526763QK0R+LKP5675xcrwnieB7kGtZgpOd+rUrpheNNNBl0H//IeoHcZGe9aWGjSeHU0oIfazjMQU5ndBxYrFgxZEqmtyC470VE3jVCK6I/rz/8PbZXe0oBWJC78UHLPDwgAqXJR1woEgcFEe9fSBrX6wU7XPJkyECrTUUksx5ffNzbGB7W87NMtK0O/i4jPLNsU0CbLsJGLg57Fagy0CJJ6HqJv+1FGhecRENlPii/9elfmKzumd/PJ7RaHliBmf1Df/xD3nT87PQVZZHFCdvJGHKnzPUUjd25L3yeeJ6YjAQ1w+X2Ie4DeTVAwoAUUO02HJYzBdit5Xg96+ljqe7O9yC57uY6CxI+syqmQogE8T9lPyi/86y5mtzagCS98f/LKFR/tjrRsrraNnA7zC70UZKfJ920Ryn2jEOurn5wHcGkP0LuJ5q/uxngr0VgAWX/r9OoHlEEGPvjAtN6m21FAuljFixEAqRyjIDGRUNejBrEe+g/D07/awVtbbVeIHPf/UA45sCV0QaVt8jwts1yOd+GVvZr/rPZo22FxM/AvfRhxJarpLj/aHVV/y4ocDGgF2ZHNRl9bNqdyHy72pF2WvucAHaYM6CLGBidDOf1RePpf3fKABnHhoeT+Hy7H1ZYFoPl3fdHcr0N4MY7ktg0kBvyLe4DeDGk7zO9z6KOjq7nOsSut9JhBEJ1QvEge2UqOkTBmOKi5/ZOAAZ2tbMHaYfc2vH23ZGjegvVQcu+PFtvFNPSkbDGgqdcLGrG4bzGyz9iK2vbREk3wL8zscejdhATAu2lpXEOzD+j1pWgPMBLXstvRU3O9ppgLcggDg5EEvRKR32hFf1L90sx/DYD+geTeHytnvivlEua58jN1DEDbZEw9vxkDGJXvQfvCe7FxQ77Uu4uCtbXfsiLHu4nGM8iPFUMaPOSBf68OpyhirARZfoSjhELFm/NBkwWFzMWsZmuYhj+tnn20jdm3fS0ewG5y6O9P7v9xC5rYhVZn3VAksI/C8FoWpVfIq/QP4hwON7nxqAPwZt+LuAfo3QQHA9oAHC/gWyyCmBbwLq6ZlklpiLCXToiU9vEOUozEvFRgA4s1kUPlk5UvPbyo0tftZp/LuncR0Jf+affUT0CCNa31lJQipggu62q47N7aG0wWYPZ/RCxi9r7M0y3Lod9GNIF9QA/Psc1zZP0y08E8pbWHsW1GVt2Wal0XIKASqC56dPUPo2ff2roFfTkG40P7JK/9w6v3/pqfZwGFwWyi7Pm8KrvD+yLLuXE6eJc2OtbIHQxzfg/Qu/wmM6BNnt/Gzax9QMONFw/MS5Jq09ARq0U9tdTVuZGCnZWEhE83z/xMy0u+fpe77apnDv0QTMH/Alfhc9CFc5BQF4oQCTtJvpVX3tS+/y2hgMiz1k89caldsZfIxZq8fg6XzQGFB8R01PzxnkTjecSU87M0ffGxer0IQv0yTzuexJdqfO9ptSaTMHSA3kSEdkXqudgvdT5mhYgNkbaykE8wNSq36H2m+dw7Wir9xq/FeKbBg3mW39cG199R8xUK/uq7szt/VaUcARh9tHyGpvV7nnohU7Rt7UbZmdDzXngv4h6gd/R0Nrn5PUSTvTy/fStt1BN7UPAOFwmXQYIVBgM+XM0pt9yhfwb+xjv7Q5f87k9upb6XYxkJYuH+5NC7b8/GZq2UTpRIpe5GGTZ8S9PdEJ7LpBwN6o3X1LyL/oUP1etXX47jHu7TrcuhiSYTyN1pUjoHUF5Bhzl2oE2tEcOxVgQvGiU7gcaKyUxFSQZz4e/ugSRI8npbpXdloANtBfBp4CYH0T8VXBhjBAqBYEGY3EhUCgwXRECrkcVx/n5jz0/qLT/bP1ftviaVep24IUU3kcA0svDZeupfUEamQqEFskBCWgGWTZkEAqwLTi3RoiUiURzSgggcmx9JQmIEnL/djn2xpsPCV6N/cmde8Z3/RS0106ix0aqa0wIUDc9XOXdMR81n4HnnPoS4B+jdfKN/mVpTGsLRx6MNrHFqKZ2wGtJOFS/z4igwWJE2qyKDuH8wBaVAQmAdu/kBsoCogIYjnBPjtYjBj4K3j1vGo0WmHAqd88laZGCTBkf/buzyt56vtDgI+ppDYT0rlr5u4cD/fDBrXHLtaQuoBCFXZRnUglgoQj5laLg/5cQiCBTY1lV5kV+mlfnuHzXbs3aJlNISUVa7+lRXwnMmkL1NRbQhju2Bd3YP0LuJZgD4ZaKpDPKTI5sZAHS9a+7Ja+piL8/bIlLkJabqWVsBI6/DTCqLadaQGexnkG7UdWSgcVonpD8ZiyvnKEuAz1WvfP1z0eKKObpgoBh/3fKhjx3N6xdcfcNHAgycK+tekuGzmfscGCWgkdQxgbgojCzadbJGsechRrvIgGYA15fMqbymZhNF246vISA7+5tYW3Xc8y4/3huu/pYVORjQsY7dyTuFobeMD3r9mv9W6ZljypO0APqCF0XGT03VBxXxprty1nRmwBOiholxO2CGj6C44dnt3/jXzdnvWvSSV/DP0HhXTsYTnzmW1C+WYUG3216Jf375jMAOBILr4uOXXSrx3/EY0FIr5YnaYvaq9rj/RVu42a1KpHNE5RHTUfOJKnruNxH3AL1TIGx0/8PUniYtHaCF8sjqHJny7xLcTEWiw2ps78wr8kJis6XAioqHWBkMvAjSt5hSQxpyHNpYi1IIYsr1MRdlTlly5/LacU/muP2yTAeZdwlYtBZZhGDK+eW1Eyu4/qH8NYDr3ztcXmgrrIdtEUUXjEkFysLhqgR0ryIWcshto40nWajpePkLwrvulFW2Mzx/5VwydeNR9rmPYe3ybj7Pm1X3LcuhHyaaNjq+eysTEWZiTKXmUE52yQTYCi2GViGu2M6ktJjlTZHApmERRgF2s0OFtsuBiWVpbZGpA7zWSEoR02K8RY0sN5PEDlXFBcuHjK6yBZLNBSVeao8Iz9M9D85bRWu481bmD1R05mOIe4De0mTdYKGfb7f3Yai2BGittYhQVFVM+4BUhDbrUaA6xOwYjRBSWurZhsztAcKBxdUN9u3m3zZKyGZACwSFbRPARQLJx+YSCGltnvmYe+OIRloPFzJp522wjspuC51AsbCwAAAgAElEQVQ1mT3zeLV6aQtFX/IityyHfju197W1umfUDA7L1KWUrVIVqUxPkTHTxIdRAHWEb9uAMhXGNiDVh4qyq4Perz3GbXWrm3Hg0XBc/5g41gGyrs7pAl1aXcOKDG0BraI2VMPzZEFanVcwpyYYjIAd+SNx3hAvGoN8/VXG5hjMlT39OO4BevOZ2kGJtxPt6+rk3u1WERisiZ4eJ8IAja0SkYfI+7GYWZsGS8tCCIfoQuMxoHJYaayvZlhRKwyrIbbbq62WL1405L2vTlZGCUQZBbJtU6qy2o/IJEJQFz2R5r68mqsbd0oqeyUze/q3qtWLW+3lS1nuluXQb+l09qdB0Af04DJw4+n0MqxinldRShSIEnLjGaIAUhozmZ2yxDYMZVAa1iZbKYQWWAB8mHMXfxsF+NV9GF5EDi8yV5cefSQK67ktgbDMiQ161mrFIgcKTFQFroAKYkTDR3trEsYKA5SE3gJJugEvu9XfOKWyr/wW7gF6V1/Ut1Bnf6zlKQez/rHF5VHFw0cZC82fZiCmvFkUbV6V7MwhDEmQzkiChpo21odYCmUlhyErkUC4PGc3AUIEg1JY4e4Ay/YVFMoS8GtQWO8cLXXV68wA6dIA0/8CSEYroBVcsxYOuPymGJJMuR/WFscqC4FWoDAgwSjuhydb1jMXleeZzBamUiU8ImswDbx5BvTg+N189eeC6VYekq/CL/8W4h6H3spk3WiZX+h0Dhgp73OfXgUkNSBT/i21QaMkMR2unwEtU1FDyZblQnNrISHUfl1k2cG+RbCwAqJAsgKtNYLY9metIAY5IFpjV1gzoSAkNqhIy9jmDBJEJV9fpdlmk7plgyAC10CW0N3LNnbHnAsJWUiwyF1g3xMAvsMKQe4lAvfFKDg58aKwombRstWw8OEQ1iC/dRkbVnhrzpq0mci0Oh+Jnv3tSsUFeny5p1tW5PgF6hzIU3DGirXPSwEYzeFWiqwBEdc3WBVpXltxeOB8Hyxk1MC8r7ZjDsoqM6YOIX0OCoKh7MDOf7SauSZfKyDUSJalAAapRiKBvLRz2rXVazsHOkLm7oWVkL8ASP2vAF/zewSWX7cin18YZ20vAV90it8KEti2obiIvBunTP0DjpIKLoCU+RpL4ypNPYCQkqwxyNS10L9myr9lIL7027gH6F19md/c7R60viwAXYKX6SZJZbYmjai5JVV53jdzwcw2bN4PLYYOlQ5pfTyzJFKwXk7a8ncd2OdiUAFB2H8B+vezJqW4YVBL4ZxFOPbpSv1o+3WvFBso31ehrNTN1fXrZ2cpQmzL0Js1TkQZDC5qIAmgAPSatJFtlRE8xBCU/dK/xcrsZnP7csi/ZTk0A1r78n6exDWPx2hQUoEuAT7wgLzc1oIcq+zKUQKAQFqR6CZYe8CpzAR/tsFRB2hri2tTgFAJxg6LCYwsBGONkJI98Vgq0c5Vz4ku/AY4h6U++JkW3nLO555969ijDlk+cXI4ujwpnCdd4Zffv5fd/vj9KTpU1Mc1k6C2qngX9KDp2xiQUkIXswViQA8DdDMGMFReKPvMHqB3+XV9M9HBPO2+chSghx8gA7sEuMqpFtqgaiADXhAWKQPMRd1ocqHF2E2zD0Ygxp+QgAJZoycZTSwtC16kCclFBTNiRuOKUM3YZOZcrBWvX3M5lpnBAZl/OHHCWMt+qmStZupkGvYjlU7gsCyVG3R2c/5L4U3KAOcXCX3Rkh5dNOL6aMozFZOgEDkGx1/MF+vytKMurRGp++JanyF4VjzzsUplzWlgu/yIb6j6W5ZD/3S3ewgkvMoBsHANdi7CxQNa/ckkYxClJKYqtzWlqcqAKjgln7HiWZNkDcrwILs8O99nh2KQCKQMKYmoWS5wjs8s/5b+ow7fxG8AugUhw94t2pidlsdsD4owfQdrZ9ghlrsRkRUXKMEgeztb6fqfG4F8+As3Zy0jn+vkgxaN038YYJDzbW1RU7M6t7IcD/DGMgBK/ALQg+PfynwNi3DSZs88Xpl48YYQ9jW+6dYFNHUP2RRePWq+BiTgNWopBrTQol68BNb5OKMHBnMxRpk9YlEoMuQ5FlhoNhyUeKcLWtCAZJg/M8h4UcdYY/AiR2Jy3JPDTbPI3RczBkQE9zdOhv2dAVmsQGQ/ambUboHIBZDIsgpPIH8XyErrPLCLvEJ9KIxbsZIwKO0i+tKBrXR9Lb8AeSTnRu327kvvTop33WP9nwZkyr/La6b827fpF/cAvctv5k9T95BJ9WuKZlZL0eUDLTlWyY2ZejnWJFHNfczJkEJUbDEE9CfzXjZpDUnhSSBDrI3TAiG34PR2FhXYAsB95yBReK6xhoJ9QPqaCrCs6+t76Ln8Nd56GgUqWy70Bk3dbIRZcbXuy+JoLOvsBBLxId6KiJyswH3xAtnzfHU1R90iEjGScepIQoN5KOcsuCAd18WcUc9lWKYe+sIFAX7hcazscejdxPRP9HqHpaA+oDduyQDbISQw9SzVIMYaO70HuaiCwDEPMcozG2apraFwqooMEHKJxPoMIq1512nBjR1LKxUX17UgpvB+66fVvhcCFDBzZzoqcb3Foq+of3AN6dSDhQoPNYvRbBskoSzymc7oSYV5FMgOCOQXr6utXTSCUpaYdADzlnjb5PXxF1+IAbmZL6VkMcvRkV88yr7wu9H4C7v5PG9W3besyPHzvd7hRNDXFROxmS/F9VWP0lSTGusSaMIDMUbE0LZgjPDiJAmkwBgRNfJabECB7FRwbinnFMgF82e+x4lYX8ttFLeg24I1qCYZ3uHC2gu27DCD74O/WFeuPNdSE+JEIre6HBBhlAJriO3eAQohg5B6ThcOmggpMYTXjLSdEtBrV33D8FlnS0x/0SxJfP53o2gP0DfrrRtVz8/25o/kIuwDerOWrj8wBrSv/ePC5FNSKMnyK3PETJOX5Wxus7oAGQd8LPXaJUu+3g5RYR10ajfJ4uvaMqv3vgzu2Sp8T4g0spbD6fJII2Cfg7tOMY7LL0LfijjoNuLkdfbpVzL0kcWK/lYuYYlslmF+KQnwBRTSrH3hh9UaGwMcyXz+49H4uc1m+eWQf8ty6J/t9Y5kUj9QTOLqB2R1hhIDKSGT/MTBgoeWzXie8Aw1MbdHWYXAnI8Nz4wFbSyk2vLXudhRLYDYa6Ow/BWWQbcRlS2FvEG2b7tGMoLVZM58zSY/6rNZd6vb8doX5d16jisodB9OpccSRNFWYaRhe/l1HTVXZ/nFcT4jg34XbnO4WzxKIUQYcJw+XlkWhnFeaxJgNw/McxzL3wphSBhNRnA8Em1c8AZ2Exl9ytvwfAorPvfxKNoD9G6+sT9LvSNxpr/eM6gA0ZOSzzpGz51pVX67JVunwbISjQRptoYIjQc9UkfAGGQVQcH0CsDGSc6qBuaazDaZCHYachoJ1qyJvt9FIYr0TeBO6u0PdT3+UIC3ryUcuC7Ll8oY97kg5LNf+iDn34bYNcSZTlj77bxLSDP4tQ08ZSUr7CwBLwddb9xv9razXyBBqcqlsh7Hh5LsGCuJTdzGgHYqdVbSGY0kMmMyYyRrTgoVJ1OuT/ni7z+Oe4C+qXh+4okn5OK3fEtwCWoVFaho0dPHlxFfxQ9cW+CYXtoSGZaGQUpjjXFGClaRGV8YNMw8DQZaHFNa3s6LLI5dIKxmq4nzw9TGYpIZ1iT3xWMnRqBhzTKzSVZPu0Wbi3lUuL85PZosbH59j7u+cz6rBYu/FS8FMS0Qx2oRVpyzHO12dbOphkHklHV996T+/vN+HSxwy/4O8b58wXw58CWrCJ2Nsu/2xypFYjkj8ekpq7DjzPzuZsMOVPyRUdKSO1QXBGWch7z3xZnPuTSrTzCzBjJDlAOqJ/9DFJ29qQ90lyp72YocHz19OjBTJ6PMQs2aNGR7HfqBhV6iRSPMZrPudCuEV3CIXB+pbg1leYAtFoAl+zRIKZW1gWcxBFIVqXUkpPSQZBVyvV8IWbq3les7BgHonNDwS8CG577jUGEuLMzUzvGt0AX3zdWMeWbomgPE9DFsNnQhLUSYgUXkigNT3/eDOIBNYT5nPXV/Rzdbyguph3m1FBSwpprt5CxN8wsi2du12HRrERKL9jIgpRpEBkg9jRgTmBQtBmjRyzDvsvnIp6BuTW6Mwi4DXhjw2dIjCn2oCDLxzIEYzop62PO6V3rH/+Ivkoceemg9eWWXoLq1al82gGYAL+zbV4We3/BV6ANmAhVlSW6SIDVpJgD9Wp2yDsSQLvkLTfmKZQ9PGTBLUqkQM1MTQmkhgLVtvrQyQIk+aBtIlD6R9QtLX+E0YS3VhKUCVU4edmYUB1rSlnKyZK3g/8BYBjGDttjIwpwVHPxZpdHHOdsr+zLF2i1U5aK09JcrSrjFoPP16IskTlvCdRa8n/XUBXdno6VxTJTNPVIiKiUQWZByHxMnzjhfELfCRJug9HoIml2p2UHEIFBmCDJCkVphchYxNJiEF5/GGPbC7vBiQPIZ6gbI+LiE7IVi0Je5+dy9cuy8yeMwk1EAGQhDqQHUvWnodeamp3sz3NOXQXrJAD3DaoIFqHlJ3CQ/qjCAjaU8wqAXd5Z6UU2bWE1JSMGPu5BGE8xj4oZOU1yM83l7sHki8bJv44cgbC55ecQsRQAwFw6RTCRIBMVTtmwYblukDhmjEaWvLOwHg2NIoPiBFxaTvrNQYUZ0/yyH5uq7Hjsviv5jW22C3ExGHn7SWytfOocIofiNc2AvrNpOwGegsuKQnbPZr4T1ivzxyLWAq+ThvCXBQlLoGdMAlBW2OhIfKQMYg4JYG8xIgOaX3Lhvi+G3O0uROopfK6IGexlKTX91bCl/oR1IdUD0Yiv3CxO0fdtWFfJECDkIqAaZjDudLLnWnrntthsODLnTd+JrCugZIpVeaDcbtXozNVnop2BF6Pesgm56ZSHH6oSuiiuYqv1j2nYNZUJpjFBRTAuzcSsasySC2mQYisq8lx/qBnSvAX4g1hOEVUWyAkAV/p4TQkIW27m0y5ooRlZ38EHuEiM01miBMQNUWZwErZtIUrEejvG7SqPgMDzEfPpoXvF+G1jube2BDG+rdTKu00mX1vFC+C5qu75ZtnhjS901g5w3HDhcC0yMsvNWypaw4CvEkMGYI7UJqWONEUqImmewKdhS6iyONqNCFOkyu+C1s0TpFbtl3JsfW6HjqpGnpzvexWypk1fHdSvyDsqla20/aNbjqgDseAvS10Fkg2rF6CzwybcW426gW0vvOHBg5NmIW5un7ZfadUDPfPrTyr/zgSb69fFcQoBJqjGwnU4364VRlk9MT+f3A5i/utabzmLA3FYI5bygPNSsfQPotSsqjGTkjRuJnhSUCgpaL4x19+WZ+HYw1PQEVNBghVhCAGrlAhYMmZ4VyJKK9EFMSIMNAqtzsMsGVc9KQ7xQdLjRuqLIG5eWxsDaqHBjLhw7V/ygB9XIg/7N/TVbuSgsHkGp0Sind2PDxXXwln7Rfcth+SINGB77QrSr2AnxArtG2AXyvEVCk7MXSN/eJ4QRDZ943MAixUKGdsktLojPAzNNBWoCUURotNaIPYOmo9G2LIlMoQ2QVMQCUIDBkyeSpb+NO1O52g+T+aVYtnwwpNPuwdqYiTsgr/bm9MlGavLwiDIB+LaT1IQfRlmWcUDBzqE0Wvi5Q9jbPkS3d8euAfqR+fkG6uoUEFbY7qt801Yi6lzLruja/Hz+yKlT+tevwnQ37nGgTXaNDD2r40wJqZNep2KmUrU/ntZajvuspbWmrbO0DcFYBqrbWFLqgY4yr5eEVV695QrnDdhrWlOqPZ0q1k6RmPAsTANhoMEu5MLO8+qdF0QkKLfGmCLSp/ui+6B1qEjVhMWGtLbG3wP2nyi2nfCOrEKVUSgrSrGhr1MecBdF3o3obObErnR9i2NfZma5uO/7cd29dLUlsTQyslKN3U1Z/4BOjHf/a0uYgKK2EWLZIHWBKNe8RZLFD2ME+EqKHKTxKFccKUrDfoVY5ZAGKdJlraiN1nqCRS+imm/VPkHQIDCZBdnRSG0t8wXe0shftnrPPndI+nOyS6lpBPON1mzckkcwj5Jp6BUCWW8p78JyK26ekAhp6v4W1U54LJpkXa8uvTAyWUae9Bfza88sztx3340FvdkE3zcV0CxSwFx3CmR1QmQZCrIdWQlbKoGssR+yn0PMGehNNaFarRYk2m8E0rKBjrrtjh0X1xYBTgHVe1MQqCmUfpaZ7mJTVHvx1WfSRqMhu3LfidzaQ+0K3tGV5pU5+y749lJG2DOSMgaLsuxAhvs9LfhBeZm0l3Iw17QSqSCMBBmdA+nrngvXDTNkrCK0yrfSI0MREFWFkBEaiLguRGJDjWCdHbKTv2PIrIcbZOFuJVdsdXVvwOodA+4NcgaQfr6zFg7YvQuJhK0wbAzMubtWiB5J6hFiz0oZg8mN9RTLwGsWYzI3kpTy0YCxgtiMH0SkDrGByUjqaciuaOWlvPcQjJUKVSBBNH0jDvPaO0fTQ8I4VXYuQbPoEf393dfEBWqONfJud0wIlTZlMCvzou3Y7zbyQFWTxdiSDWzaSlsfec34EufxWgnOnfNJN3ysT4QgoAE2CzVSLFvduUfvnNx28MiNMH1TAD1zlsJ8LNmvMtE0mlKr9JKn0nhhYSF97M47U45q/OgSNJLWMgbKrxtPBMlCosknWzN2cQEW0nT5pL39dqh0s+4xIM9K9OdAzPVOTU/HDyGamUUaM2l8tyExxcdIdDw6uOTripZ2PhEUs4HXsgmaAyJmMKVIHpZEviETx0hnyKOUVWWSqJohdp3E2i8vDCBfM3X461/396lIoVGhBIGaApZPBZGPhAGxLoCEAiUl5lqR4PhiwApl9rYDyk25U3tFSHGe1EWsOhfzmUV0CcISkmZLCYLWJDG1hBlJk4LADFDkjE1jyChP6MJ2VIoxA/1dGY9xXxyOTkpUjButDthSyl8zo2zCmwWGxi98TdXISD4qb5wBbSTkGuy8yfM/+l8nJ595+PTp4PDkyXBpORkPq3JMW7P8yv3hi88884yE8VPObt8wQM9eAf34a3HN1q8niOQsgJ8tgq8JGhqgLtOMDKRzM4fcsXFb2oW+a4D+jfMULfjpIcxFTXpeG7LWUnUhTo+/cn/iQPjpT6uD9TpeeuAB9K7BZC+LlclSqTDEOF1s28rB7uxffyL7xFd1mjOX4hMZ2QkvwKvxXHf57Oc/3eO/u7f8/PJELv1XIOGYUCjJ2GjOh8uLfnKcRYfVplqUFUN3CCvqTiWG1On59JU+C+VYAaEDLemU9bbbkdCcLYR5Ju9B4R3gQvJGEma/rEMTbKAAbXnrt0DhobA5cogu/rNbyLFZ3SlP3OrPkuCbqbBmFupE1v0wtQ73JBl+xI7+gwDe1DfDWvbYjqziY5CdfnHLSViKIi1vk4BjFiFlIaZC8i+mLp77L6WYMEPkJy8uV0Mv2m8sBiJun90up+U66MxCmHthNfLVWMY7Kr7KxGYOuKMvtvVcBgd3Qxza6YwbRw8bEHWfvFY3XV5KRTv58NGjrK5Z6czM4uKYsmP1eDkRxss8kwUooHc1u9LNmumZfOaNb9T81n7+UnaXFSD9PLl48Mrp9s+99rUrb/fM01dr+Vjt1RLkpHsy1tYA6bkXpvRiqs2aY9ikRT/QcA+ral30DIE6FfpcBrbFplyn4rLKdydTeJiTCyt+c1JpcnefcvZJdgcBDbtkOo2G06S48RiOf8SAXS2yXHds2nrfirGhL6UUbOEjcWNjk4RRNcf7OXQCr7LrGp5tGP+z6qD/5QF9M85cpIgCmLBpvl+K9PzMge0fW1GIqRBm1K1Gxptgzxiw/uWZQzd2jNx2AY2PzPYOS09NWrTdJE7mQ7sYD+odWWbyrsJ0lsdeJ0MZqVR1M+R3fUHqOH3hy3+RrHBeIpGd75wSyjd1z5991zSbaQdeCM6f7b5CeOoEbzGSnrTGQi0E/0+frizXSdG3Dj9uslZVtXeXIAxLpbFFirWky6mEJVbUOhHWWuVMFCxl8msikB2WGYGrFnF9IXjACXrrAPtalGQQC3bTQ5QcysDyFkUh2J1vW5x5dV8FVA3coUhNG6K0meHpupHPKxH87cyB1UdTvPnJJ71DR+4eNySOa7Dn3nvwxk7LYsb2zNxcBDBdy2w2RZTZseXk/LvumW5vZx63DGhezNk8OC7JM0D+1WUD3Q8fxXiwMRYx5o8ckZP1A01PCnktQSFTk5vA6mar0Zm5D1etbN99Jbndy3S14VWff8cBp9JZ9al5ZJ4aeZp+EwFGZbBB0ibSi60/vHg89FNF37sW0Byp0N8nMnPY2QX74QIIMTVCL2spF3O0PWe+5sWdBJQGOXSn4OAxLlqcMzSw/RkM9ePcbWdSd6usswpaF4PGGZL4ZXSb0QsRhn2YnPPSyt7CHXQk1HTEt+oYEcVjmfz7iLwl0smF8GjjqWGr4INPPCHvfO2bpqgiTuRXWl/80KtuXPfMwH76zEIVKtFYTmrCl2bp1F9+6vxWTe1bAvSvXIyPCyUnbK6veV60OPOxR3swM7Nmdf1rXTqYLYGXioS9GijNUqEXaXFs6e87M298I3OM6+LIVaqlaXyfCaNnPjDEmcvn8CvPx8etsiu7UtwihqgpNf6Z//EPXvncLz/8z4GgNrzFSSAqX+NBqe0UW9ScCs1pEngjIGUcU9kAtC2ZnlGYsY27f0aJs7wJlBwZqTA9cqeLgOSWTxHiTzAoz4Blfw3m7IV75yB2thfLrnRPdTW49p0DETsqFf0QzvLdN5O7fYy5BuEJo3mbWOFaatkZy/ka3kAa1d9qhvdKwAYRxAd73v9tJRmVU9e31b+cuQ3XWAKZmel7v/Fonpva+4/WvnAD3Vh1y+8QeWdfXK6xnJ6Z3G+G1bPvmsZNufWGgJ55+mk/nTh5MkAQy3ly8Z4h+bbswbsWFpoNM16JTRKyTbbbTtEgs9XG1ehF6M68kR0iV6d/caF1t7ZknvvrPz1biiDDZd4zm9xlBJ4CXdzuHOkNRhrsYt3MffbpycnjWpjX92NfsLa6780mSGgd+OCNo8EpNJaF9wJ0LhqjNLxPkLk2IsYadWzYcUcJ1sgYBjiLcuRMygw4Xgw6TzjnCy28Irodh95ycnIRe+N6+042dqH9CYxFBhqHH0fB1KnKWOFAkPf7O+jO3b+PZasCrOzwybEM+u58hcOUM1K6PDemofbLvqycB7NJ/tDE+zmMBxbvsYhpoGl2MhFfLvYp6gy72V9+YB0x4G3nKQpN/OrAX/rczKFDN8OIgm+/fLkSmMYEoZqGLL/06yc2Duu7LqA/ePlydd7U7wJPtu1C+8oH7pleJd8OzgGLI7kOIugbObvQBUQ/HTvnOPPIcEbvPN97HWbJl99/xwTrIUeuat99Nj5hpV3Z2V0qqkhiBEbPVq92nvrcPcG3kYXDozgCWd6LTZVAwzigaAhLXulgz05qfG6947hf1ciwlZhQ5JZMZjlErUSnMuOFFRnjODG3wZEci8XfwKFD/cbZ848veWse+xMX3L3cp1UUum6cKXyNi6C45XXxF6eCdH7/xWlYPG5lkQVjdvLbPDzU0GQMG9oHDI9rps0D0QwyvMNpchA6E7H8G986mZw9SXqhCf5iFIfmfBYX/t/Z7n2+wbnNgDfqea33t995krxzhy+PoZw8LKxZ/tcH1ndlHQnomatUSzC/W+bmWs9cu/rho0dXycplw6yXnJg8ud9kieTNRDomgiQFq4zuLE1cHqWLLO99z2zvmxKK/n5YDh8c1LueW2iCH7xeEwT8kB0geEO2iwdqAiKc79r26Utj3mukxEILMrR/xcmdhJ6wJkItGgpEDYmCYsfJQGuFgEqFzOwsciyoGEKh2UyJEp1lEQW7sCFv+TCgGGvCkCnucyIRf/oLzjpSX1bqPBjozN3dTnTpFMi8mYCtplxECka5texTx7tzlSTyWM/tLIMAy7m08fAhQaPGX7wyqyL5jcaNtTIktV9pOui0kGSSqSR4ys/5M2/AKsUrkguVI9GT63nWsSx98lu+705KbfK+227yhoCZGTHzk29pZBXvGOU2ee+RxldGDWQNoN92/nxUkfvvA9JXvKXoyvBCrqyktAClk5PVoFeXWdKTiU4UiorIrvYWH/vGSZZ31tUnvvNS73ViLjv9vleOsUVpZDmeoKOvf9MrSNvb3Y7+FVsCiwO8+8h4lk/FsdnFyxNwuCfthPv0DyX3RUdEZZ0R2UNDFWGhxlZDIPKlEGi4wsJid90O7c4LZIOe+3P/0Esig4KVzbz5ivXFjEDeVeIig3Jh7daaLvhMwdUHLdu8RcTFlnHcnMUVwe27DVwuGhOruK3g6NX8ZvX3Grh3xHXCeV9jZoTtEEBLS9szQhSRzdZhcRvGGkXE0IhxYWi/sljlF1kgdRsd8bkQS5mVV8pGS5s8+cHb9q171grL0a3bXne/rNClD+7blUOG8JHT8/U8DE5YML33HW2eGR7yKkBzh7JTrz9lrW3ddiC8wKbq9T4DM2cXx9TYWDOOE3DfaU1G6TZzK1v/3GJr5qGNbfXveG75ThWF8sz/9cnT68nQ3PY7n52r55XaqwXSNHM/Vksp9ukl6hklOn4Wx4nxtKdUYzGMj3VCeTQhkwspOBKdS2s+uQZ4Q6E0HIzWUChJhgIxREMBR/TnsEkrpuh+zOcVZ+ehL4ALkOSifbFzPQvYBYjXfZdXOTkVPhrMmF1U05XIL6tn3dnFC41N/0QBF6SJYxPEBmHJCFiwEgqz5FBoyJHj59Nzc+sjyjFlYQIBK849lYQNLMw2Y/iydBJOWaHbsvts/fnaV0ath8piLEP7Nn4gstGT64kl6+FpG393oO5V6yd9X1/5tanVUVFXAfrd55dPWhl6cdd//rE7kY9vXC/hzFkKAJbC1JMS2c1Toexq4YX5Yrd+18GFzRy+2cp4yWLDHlYAABzISURBVMZfl9v06Y/cNr68ATfH98y2JmJtj0uMEjC9LoSyW+vWM6xe0k8vLuoD/imUnaVI1IO69rJ9C76+LwnEYdZoWPYiK2Isr0gYgwBn1RfzerAciRmkRPLA8Njcrg2+ZjM3f2/5G3Ed6AMzMyyTDr9Aw5O4afnS98nJ4C66EnvVcXAE3maWQzEuVoFmVmKaC8qKw23XeYGv73pUwoiab+0YAvIXire2u5lRGq9UjfhKJXW2gOKv/NUQksX4c9W8+uxGIH2QSN7+Yuce/kR94ET92a1a+1juZqvyNgDNRfFt55fHQ8+70yx1nxlcpK4AmjUVlAR3Ypye3mihxrW9/fLl6liwf6qTJLxt0+SGTMocOm+Zdh16jx86xDL3ZuZLfOds77AlOAxe64sf2sBv1ok3lyCEFCyc+4weVgGWk/HmJ8kbq10LY6lDL6qOL3jmVAL2pJbQtGBii7JnUGfkeVYYi3aE6Zs/8ezcxOZraYuQoi44I0vvLLIQcSBdZ8hw+gcqouyzqwcZ4zboctCYwfNZXMi7AiB9EYRXoqzuc7KMi5/OOwJRcdh2wUtQXhMaUCK37OOhrSVf5siyOus0FB9vxftk3SZXt7dxFeN3p9kKwlxLJAwliCpaqEuiCnLAr74jFEpMggwvVmL1gm9svMqoyVuEUWQIyfP1ufTczGvX11rw8+m8sHwcCPcZ1fr8emuuYdAymL+wkN3DjlFJluUit3FmVTe3rV6Qid5S54Xk8QGr8eD9LI7e/s3fc9iSmvjgEf9zJd6uA/p85/5ciKXGV/7m0nqaibJCFk06994b1Ox+Wjaz1NSaoNezcPWqnfnsZ+0oHfWoN5CtTNXpk0etxenQmmc3e5G2/Ba7BcQj/rxe8P2q57cBpjoC7rbCHNceTLGzlJGYWKNT5nYkxKbm7350UbYwFifbsycGu96zmc6CYzHOv8MFM3Cbl4rtVfyP494Vx1AUQc6L/V5kOO5iP7AjO3Xw39zGGaWcnrvwpCtDG1xnEKxpYa0LU8euihh7riuSLaSGKhKgIjgQDftM8NeHk0CSltpeauYjlJcqmVxYFd3GiTa8V5bhYRY8LZ+LIZrb6GvNwDr4wBtu90UwocF++SO3FV52W0ozM+I9//0j41UFYSdNPIzzUFsRZjkH0OEzZOylDx8fe369umbOng2TcN/9aMzz7z3inJsKNdPbL1NV2N69VlS+9KED+DXdYcCaEl9OHdAoDkjfu9g4FF3YTFzZ0mRdL4QzT5N3FeZ8vzKtiK4GrTA4nIA+Bp7Yb4yetr5fYxchw2sGQRn7dxSfdPaXLmTx9USWUX0xJkcXeqyvhpBuMzWzc3ceRXHLNh2j3D3MeV0oX1SI6LHHnyAMJFIAxHuFyeO94c6Y5FaThuMyLEurlkMLi0EO854VWeFjMpSKQJEs37QVivOZzi9Ozn6+txFzm7lIlaV06a7iFBp6fhPRcU2T/DLc9x3fd2cuxJRhKxyqOONwZolNpG/yeDFJPnbfvhURaLgC/jLks/HBGO3UbxypMZcuAP2uC71jBCK641Dw/EYLwW0CacvFWVRojHXGtTJH2Js5sNnZm8ath3rhxJdnQHX0FU/WfNVSQqTzrcgemphMdLJP+ThpCMcNmDoIFeVkKi6CC0cdFXy2FIdKcOH/edFkGfBkjFMaF8dGMJNmbZ8ztLjWSx22Y5LuD0UQdGew4U2qLMBr3pHgon7xvmsOjKEESWaXTnUHxL6fHPfAcvh/yWHXWd/CXjIesH+0STxQPQnYlanu+hbbHmDiwnAAR+flACZFWjkXvb/ry+3YRWyZ3FxWobqsk0Z3M658+Ou/66gAccAQLlqTX3rsBvya+VkkLy43g6lmlHbSUBBW0kxHhozPB0AhQuvik3/+9EZKg7f91flI3jH56jv3RU8ydgtAn+/cb4Pq3LlpmPvE9gX0LQN3w4IzM+LhH324pnw5Za2etiJoR3FyfiODzs1puHBCv/gUyGo2q7yJUGWxkukEokl6smI8TwsTJlWsG6FqFqCWWl31hBdYYQM+Ei5H6SlJyhjLe0sl+05by/GaOWAosVqO435xqFIXtKYINlAc8MlaDrY4uhO0WLR2WhNNAqURlgOdcxBpF7SOA1TngcZUSJWiNZm0lCuSxkpNoFnE5w04189JGQawA7JkRs/LAP5FqZRqweT2qlQ0b/RY/NidbrG5rhr1yDd9zwGd54dB2NxQfmkfTC/doEYD37Ww0PCh/gprKddIXZXaTip0HC+SCZuA3bme+O3/47evbSTCsvjbvuN1r6mbyumZ25CdzwB++WL3AZNWnvvIv3+0tVX592aBabgeFkGkmopyq/cJ9McEmET76sK/+be/sfhS9M1x9M+AmD9yRqq5UMjbPSGWpFjqSFGZRMReRwA0IBNtZJozYJOegGoVAoGYxz02fd8lpDjM1gqO8lmaOVZFKBpY56843hfRHJ0PNVLh1G/7UY8GgbvhsyjibCCH12WluUDKQEMLBM0LGcwHWdxb6kwlGxnBZp4mv1NdPpxanEaOQRz6V6JOtFy5G7o3Kh7yvM6fOeNNHjjZ7HSTqgRTM7mokNWe4S9dbhNIunMffcXhDcP4snblyGz3lEc4/4Fj1YsO0G+72H2tz9qN//DR9ksBmlEPhHfBXGkvR2ETxnMNE1zGM7AgG8mVDx04sMYzb7desB3UW8ipMzP4iz/61lejgNuICs3aoDPToBXPgdRpf6//1UnNQ2k9Q4krJiXYnM986R8ho2QuycYsUljCJYVi2Zo0BphIJ09Cvh4gGXDtS+2JNNYHUYRVoDSOlD8Xp0lncnait5E+egtzhjNnF5tps3YfCorzzLahq9tS6DT3hBSpUIlUVcx7+Ufv2PjkAAb0scudu8lm7d84PHneTdZbL3a/Do0+1zzSWLrRN24Lg7ihIg+fpqAiFsNUBhVEO2G1rVhptSRYzHr5tY/dt48XsZupCG+o7Zt10y+dWXogs+aEYhl8q6boDRpfMZ8XpwytAB7d2lPkRDaWQnQJseVlqp2EWQ87Wb4PpjM4BXpdEH+aVPv/b+/KguQ6q/P5t3tv316nZ9NoRqORNMYgJYLEllMunIogVUAoJzzpIQ+pokJKAdkKMRCSyotbL0klLCYYi6AyxCne0HtIAkUplUCFwirKGE0Elu2RNZqtZ3rvvsu/ReeORozG07NoRptRv8zSd/n/c889//nP+c53Hm4WYkkGjDFZzrhRUtepaVd1zILywf5gB1xSUpqeTsHQELTL7RwDngGgWWtVCjsGKGSwIaoeR7QeXllovPSB9Tk+kuzkQ0cOeQJm/24wM7fkclxuHpRKtopvvTK9Uchupx7yVq+ThAqL73HbBc8hUmeIcHJcGd9yjlCLtpcilUyw0LibJCfd5nTi9foRqtUopqg3nPcyB8F1oNNKhcVz0W1IWgcl3QVoDMpG1upAU9ImnHbcVhwEvghz6VhFzaaaHR9X3ZQQrXDnF5BuO7WiIAI3wh6yoAlCGg6hdQkyLEAtLO3bh0m2HTEaCd7jI390gBK2S0c2MDZsWJutKxdiVm5xLXTGGp6LdMAGo75Xu0EvluWIFS+1q80jcT18FSMiiUJ/eq41aKTcBcHCRSxq3VDod/kAjF/nRkYcFbiiQ1RKaMgKmvJDqx2PchVDEDiQqsXtdrN84Vyw3i75TkzlqdcWHzfARrDhVXK/Gx4FGlTkxFnCqTCBuGa71PwFSUcNJlqsJMRITUwsgEXITSeBhTxUcQRR7Du+cjtSL+QCPTY5pkr/daprHgD3J0alMoZl8q7guQi0hxtHDSa0lDSsDFsec2My04ryj49EO71a43M78+ijqjRv021oZwB41iido4x4El2t2LQBWI10Fho2zpjC+wqNDcZATr62mBW++I0rP/z3H+NzThQacc/V3L7f8tKpi//w1VP3jB+9GWVDH+rQJIjpxarL+im1ofIZd9KWat9Y6gi8COUSrRhRsqWCVpunRjsbpPY3c+tNH/NnF2f3OdTNU2axmxwogZWy1giD+OjIJDR6PgZTjKaO0axutOIpJTytO8ZaJbUpRtpkcoMaOmDgYJIYNN1dh6XVrJWGtLEk67J0RmmdYgR7mEvNmRsA5y2tVTvqVGPLPDmq+6LSoQS7syOWeLVwUJn7xg//plVKWE3LptosB6wvLkLFjVNCtAKZYmknq0OTNTauvXCgf0003crr4rMfvtx6F7Z5+vJ19N0N/+uZy7X9mjC/2Hzrl7eLBGTTGrCNA9E1gbGjHLOEymHMylAY4niM8BRROgWMCptQxEkLhEuQLDK4ZDsiYESGHs2H7bnzqlvK9VaGhlGCem6KwRWA/NCInYQl7vCsUrY3HrfTB8HC+fOwu9m0F8ple3ZiwkKptJQWX+OzHCFo64KTZsoj1E3h3kIhfwgYF9kk0fJaxpSVJiKMdajLOw5VYWcBobCxZE5d9o6Pd90U3so81zrnBlbjelZQhRgQpXlrdUpaTOvTSqzC+YXRfGNkasqxKuPGHanWS6hcvw/5/MVyRvru+/K8dX65oOCGQuPmi7qNw8Twqa+89IW5eyXasW3Blkr0+JPPsvTgFFehLxinlGAyRTGHWOmCZa4E5QrmCmkDQRSCHQQYLpFvBmEVS8s+5RJUsPSTaZmKPdWJjM46UpmCNlpKo8IR0xtP2OkgsKicy2M/ePRo8vvEuXNL8j56FKaRYuvSJdrknDiuS1VDMC4YFXGHR4gddBgHhwltlOMYKjSyXFOX48uImJEEOJRQ9WNZAZNampg4LESXJEWcSEU1Jby0jtNSddptNTY5iRiYLRcHbEf+y1bZSIlYlum9ff7Czy9dosXiuNuKmg6hIhtpUyBKp5MquVhefv6h3k21YEbDVdv32GFNZf350SQ9fj3EuWLEn51u9MXGjqda8YU7kdDYjrC2ey5uTnqOHaO7JxNeNq48znyKeV9K/bDDIsk5uOjVSsFYilMtkaZIcI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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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qSA/QrX3Ec+hUCcZ+O6rA4R3RUofbhvGDd8be4/iYAYLFP6XdxTHQ754evsdP+httvdn2dLpl26Yq63fsfbL9hvk5+v0J8fI9D7xqt22hIgL506UlvG1W3VSUIjrM4nPZgeVvV72ilRqNsV1a6SJQuVBwTXXfhMQA5t2KC4AV5Jwd06dJx9dhjZ9SdvMbr1ffdLXL0AT0jxvCwWrZEaWKKY6L5RG22qspr3GxN8qB2euQL0mI+1kxmiVLd4pjo6/UgNu+nQbAGAKIO4v3jFWikRs+Un1e3e/+bXv/4cYW4B+g7+qzPnj0jTp5sbotDHybVGwG9P6LimKh7AWjh2Krzw7VTPrSA/kENcpqX4b8UZ4mu1c1/bSybt96q91Hj6V+jBpBly9r3X8w2m+zt3P+m83O4LvcAfUfhDGDPnhGzD1z3t3WZISXE9P6ynb3ZRaLU3h0ffTtrL1aCTtfDSjm0nW7iKJ3vsAQrJrRER16vDQBVACAKAFu1L/oiOrL/7fZXT1DKFe1530o3nYft3H9/Tqif4fmBPUBvC2a3VcnaM+Lmc68G1ImZiiybj5GoeyBO9ZXT7Zal7rTwyg+4F6TAJlEqQ/ja0OVW9bGboC2Hlig1Lo6Jbmd8HXpJ6MXqVy76Yz3FZLqg+NiLye3e/6bjmD6Y7XHo7Typ26jjAH0zB/SazitXo62q1Ei15rRs++HmzZuO5qfzY6JF8+7MQVE+fDrvbxhBBZqIujL0h04HoFIBIDri9Mb++nWpzagLbnn9vBX2BEp/SQlxKcl1fru//8Hmq8f96ZmRUfboo5++owvP24DCuqZ37aLw6ac/4R2NhAPg1ETbzi9WkSj9Lo6JbneiYn3Ei6oH+i/IcKsyAHQBgCiV4pgoQKkU2F4vRaL0u9cTWCopS3R0/fwc1Rldf5vXLwOo5WU1Xf+T+Hbvf7N5mopVinuA3i6UdlfPPv0Jb/5oH9AEYgJ2v6uFpQQnx0NLlP5UHBOl3y8tJVjohun3+Hho4/iIV8J9EUS+LREoCaj9/opjoiNLnCG1A6LULvJtL86QqANsv6+i/XD/w31uVX/tvEClYnmAPx0X90R9rayk2GjkL9eo+y/miuioQvM4OJ8wpVLEPQ69O6RusxUBeuGYCl31YcvDJn3Qwx51Oqqf9iIxFQHk/yCGnI4qxTmiIzsbaj9c//XqfxyAAN26+FS8ag0aGM8gqLc5rXm1IUvQ3Fw7PX36M5tqUnbU/x2svO1P8h0cw666tvYT3tIrwS0gt0R8FwCIUimOx2GlmSLjxEkL3S5ArSJNBqeD+vgDAUCGScIxDLUlSq2LY6L0e/j8GvpzhIehb5MkQ6Kj6m/d3/CU3OqNGINANuWNha/0GC8NPMtcT12rzPed8tfuP+95/fyMNwK7tJIiUXd2pYzjja4l6mYvu5HgHqB3hdNtN7L297ylV54fCejxcYClJRIl+o+vf0x/c4CeKOGgnYK1Uxy/5yGh2odKYQSQECgJuMVohvDk6sQAREeV4fZFX/nnZOv+N/Q5zNEHxqNUJjuLX18nDTUaJHYAHD+qHaCLuSA69H67n7iSom0Elij9Lo6JOkDfmEjw9Jk9Dr1tdO6i4rlzZ/zp8PqthIJb9oishMjCdV+mZrMJ4/tOeMqeLMTmXYzojW+SphI90ZSdpT/r1uv1DQMwaul1CZsaO3EwRtwD9B19wvbcGX+ldGkkABt13640MyRKgyiOiSKLsNNj69xErUlsUHrAt3xfGQJvg244CDxL4CFK/RXHRLd3k1vy6HXdbP96Ej2Vyu7KNzqDL2m14tt2J8ND+6Xzvxi8/+2Nd32txvHjvT1A72bmdtBmPaBv7euQd7l2vtNDVq+H2GoD1PqWk1a7BWOTb/OXklI519vR/8n4VmjxiuPcIBdAACmkjjqA94+J5mXz9htvkyGAsQBEqdCLQy9L8XKtv/5q+wCgIky2dPPF7pqBnM7mxvZyONv3kFs/P4VIQtQBfmUFGo2Go8PzRb8XlI7vu+93NrdG7uDZ3cmq2+Qwd3IIu+vb2jN+88rNQjG87U6IO3NRG+LQmfVLJwOLY+W74qkVr03gg1BpFree7mDfcWpwIlQ2p4lbb3tyblGxnoke7gH6dqdx8/YE6NbMVWdqqxnftliGREe1Ks4RRd5gyKrrAF0xYJZ61ciLjpQ6mUJisJ4VVqJyL3xxTJR+0983O0+rJ7KhF6soRIXWCkt0ZH+ZQs8XVtK1RzD4W1/fMM576T59pdVhwCp2/f23ll7Vtcra3ND9j5qf4fkbnC83v0mpuwfoO4tnuHDhl4OToXAcugUtqEHN0a3KKECTBTDTLEjxnr4tehiSBTwLX6jh8+uv6oMPGWRAlEpxTHRU2W39AEPkLEm5fbFdgTJ0nAVzrTSXX9PVysY1wcYxrPceHPbvW1JHevfcc2ZV6bPVHL+Z5+9ekePCLwftyKx6V6ybxHYboFoFIEqlOK5WAXmNxUnAnRW7//xLJc/Kbj1MogOj+xt+QlkG4Pvku5mfKY6Jjio7rb9dRPgAXKdZyV5q9XBggdrtApTLoK68pCplzw7ev+t62Ntq2Ltq6PpVOdXFPUBv96nsrp4lQJvULeuqZc+2uxKJuufVPyaaA3rtIcZJxFnW4KUJaQtA93oAIjoSpGKicLBbNyjfEzaTComOxGv/HNXZzd0M95+BQh+EJer6I7cg8vwecg+SkiGDOK3jq03EDEulvqm9lx/fmLmsyw7QAyAeBegtBl31D3b2AL2bJ7uDNtb+ctCezQG9k8L4JEfm8d6A2bpkpG3DdIh8elv9eeCBBAlEc7zlx0TfyEKyPGNxWvcuNHuxt+FlUukV6QB9m6U6fbCDuCdy3OY0bt784sW/FE6GJEuQu+eQ++Zw08K1s1IB5BM8bUYiGpPW+WuQZSyUtrO8P5SlyVsFnazvUUoAzwMgSqU4JjqKoxbctYivGea4w+eHx3+L66HPkDGdeq0XmqWJCCBe71yi00UJNrWrrq2Fu+o23VOLYawo0Tly5Ldv5blyR5/zTjvf1Sdypxe5E/XtxTNhR98YDUDiSiRuFNypOO5KTFRNlKcmWLwsEcKce41baefsVIh8wvW3Fd6UVCg8YYm6F8ITFqVCovS7OOa9ywFPb0YmmEq0dyC1Xh6AUJwnSr+LvoiOuv5w/dX5RIaBr5JIv9SMkwEOTfeVSPQrK6kD9MD9u7ZD8zPs7r0B70p0cA/QdwLGa306QEd9QO+A4yTZfsF55NIVhGHujwwgbUfvC9vJeINEBwESyMRWZLEpjrcb9oy6xWuz/+RRzBbzZHkUVWOFBL+2qP2phRiPL6bjb18Rtpybprfg0DSOUeOJAbHsZ7HXudKMxgacT/qGSSPmM0uA3mHZEM8go/YeoHc4iTutfvWrvxKNHWjfQkQYdshf6515FZFKAvSa+1GcAHhBFMTeofq2om43DHY9IivXf/u7MVk4DHArVwoG1qJBr76og8lFLY4s2ql3LmYmukXui9Eyi8IEfakSL3htBdNBGTq/Nw+bKdhRkenrAxS2mvvWEmsffPTTt3QH36r9G3n+rhU5rl79lWhMpRs9cmj2Sp6FnkRHhwrjFZEthH6wPzJJkmtBkgRA+PUgMfuKPAGbPwPBLSiNQJRKcaw0YvfVUuPm//eDO32IBH3DoiaIyQVVPrZgKqeW0ujYaN1v/3qYGAbQSspwY8W9n0XpixweX0pGArqYG6LbKOVAtfDgHqC3MVW7r2Kv/krUDW4B6GEGNMCwUznmcRkKCMNV/9DAKrssa5HxDuQvyE4XcQNCdzj3z+/3ey+e2v2drbW0POxab2JB84NLduKBhYQ9mGvOV8enETFOSqXry5gW4V79NzQMwUuuJZY49OYRZBuHOlS/rPYA/Xo8z037IED3dPcWHPXWQVSpHvNKoiGSAY4WWGFX2rxkvCP1XG+xU6l5TcqtX/v77+JycR8AWdcLkaM4Lizu9PfB89ubLstEalhjyUbTC0nw4Lysnu54ECdjwdWlFAcA3Ren1MpcGgXWbAwCG77e5kFnJR+aexx6e89o17Ws/ZWod1XSUgjACAtMoaNUimOiQ4WpuoflSZ6kEsNVV9EElpOJKING3p/bDmhoW6DVvwEIwa1SGok6+KsYBHigZAzjM7/1YW2sl4M5B/BWcCZnVmMA1ju1bj01hlVX9PjDz/DqsQuAfPV+invrtl7LQgfoobLVfFFGKHJ26meGaoe11oEDv7Xerr718N6UGtuSod6UkW1x0evXP1GqK397Mu9AX0zUvXav4vl+X/4lbUfg2V5aLXWgPFbw2g2XVwosz9vgt7MlQygAFEONmtw8EdGg3zpfryz82/f2X4nVuR0F6HwTHgsObgwsum22ij+Y/H1AtMZavDXQGXCQiTdx+j/2at9bxKOsDl2nV9ORgN7hA237YXMP0DuctJ1Wt9c/UYo163PU7bfOdMVHvU+k/pq/cwDaJnKylIa1htYaOYFLMOefbDLgfvpqvbTw5KNCLxy2WesQM2m9v6Pc6oUJvdaoCK3cnj/IqCEjUwa8FvBgxfL6rOKVJYbWGGOAWYK+sYTxNe5Ppu9Ecgvn2/f+3NeGu+TpbBIFxPuHyyYxXSPGFXmVFdzj0NsH2W5q2utnSrFZ7EcNbtHDQAxeZid8jDjHjKP1tSUHuMAXtgfjUQ8nJzONwjAhEIFLVHzf5d/+QNj8rz+HRo3WqOxm8NtoQ9sgaq9xLovu+QZikDpGbknuoX/aMms16c/RpGmI3Wvxvf/D5wv31KJ7ld5IHIcejrENpQUyxBB1nxwPwUrr6ChAi2B5D9DbeGi3U2VHgB64UKYnfKa5Z73AUFxJ1zCvbctBEEzUVlRpAo1lAJw22rQHr/z6T/ntcx+7nXHedlvmzSeVtz4ByEEbkj4Y0j9r8+gWNKlEoS/ae3/xi7q3kvkemhzYAQi8nIDj7OvLzvgzQKepV/ad/lSRiey2b+lOdnDXytA3bvxauaZNn0NviNO+5ZxlquYpU/M7WImUVysJG/kKNIINfalFGRmokCUqWPkvE2NX/sGnrbW3yKZ0Jx/L+r6tP3FW8YPfAsFAk0jNOBogyUhwRK2NN36hffgTzxmWaA9V4smVXoktZzqbT4NRi8IdDj3yYBn37QF6h9O2s+r2xq+VQfccoONEYBQqS9T1QiZtOi5M28VxIrDl31dvi/3jNgM/4NpoY2TkdWNUgqUmqHLOLGgBY6/+yi+xeOYndzaqO1QbWTeJ3vYPc6WJAY5oaONR+mlBKSgd/5N4+qfm2qoSoic4GVNUmqVj/sUbFTaXrs7FLeZnY96boaBer7aM+87sceg79HhdtwToWGeU42fLQg9s3pT8FO6fMFitpNqyssh6nm12uW5mZaH1kpqoKBx3/SngcODFv/K3UDYf3bLzN6iCKr/ldw36/YiCXDViwCKHNDP73/GvWe2hTk95wkA1TL1aOZF+KDyTRHpp5RCeXx5MBLVVIqcN573xpT1A3+EHTYBOTDzpLrNFZhdppoJr8t6DiJYFNu3VheylyYoiLUYeZGKswfFSR9fy/gDgwIu/8I/BpDvJyHtH71iVTvwrw+pz7iKFHhBJWW7beOzxf5H5DPMIL2Mp8qvbq5bisBQihKFI49Z0+M2ba5lzdjbUTrW8NDX1d/rhPztr+0bXvmtlaAfoWLn8jGEgbZJ6SDSfwLVPZsqrfCa+n/akgLK8clOwptRQDwaDpawAY9lkuaMrE6S28zm3U+c/9vvWkoHkO6OY8NAfKm/fxcHRkBIPee0yP/IXPieVzzwvT1VGIbqZjW0ZluM5fGC8Y8b2lXHx5j7zcrHv0Y5uKqz4i7gH6B3N2Y4rz839UqWqfcdRN0vjct0+ONnL6vun7UuvToQrCYh9/rIOHaDXQla1zWStnOjGhAbjXvJDDtDgtnn7TijaP/SkDPa/NjgWMsVkpXu/WT7yzq9L4DgcwitwrmtNYublg5MreuLQMfHMuZpI1PaX0H32IPYAfccxYOfOVJLeQpFB95bXu5B+74NVv7s0xr41H1hupZ0MmGj42bpwKW0zNVHummjSGIbAORx58S/+++8oQIeHnpRius+h++ZFsNgd/+CXyuXqq+BtDNDl6fWeL6RzST2v3/fIPrz0yiS7vLXo4By3EnIYd/Paa6eLE/f9ztYh9Xf8qW99gbtX5Jg7UwFTAHo9j05TjUHALdEX1fecqsLizQnz4lJIuS/seKCiug9SY8kLnI5WZl1I9Xi5idGkJrM2EKAf/3ffSYCW4eHPZXy/22yZ1NDGAjLmqfaxv/wfJ1hvLsdzDmopFXqesEnnYhwI5QD95+n3PjJduv7qpL7SKuaGaA6RLRYh7XQR9wC99dt0OzWIQ4Nt7qM+0gQgCHM6XC4nJw/2oFG7t/z8K75OFAEaS5VAZrDK1KQ1tpeUKj0ccyIM+XNMP//T//aOAZqFwA//AmBwAPSNfw+2/a0tp0IGhz+fif2OQxe+Hdbft9CZ/pmvTPC5OfAZ0j0NFpZe7xKgb9jD9QV59OQx/uxzVd6VxVwRdfM3kLyMfg8nMgOhFnBij0Nv+ZBup8L8i79erZZiB+jNSsfU/avZAyd8lsT7xeXZqg/Qy8YG3eEBhLa9JCrHMDEFYCiUhB196S/+6zsC6OAg+O/8I2DVfBtiaxTIpz8MZuGLm95HFp34svL3XwKDFlAb0kTL6n0Xuo0P/vk+/8ZNqbyhfcoziPhce6azr76MRw+XWXv5RHju2lbzNep8UIb5PUDvZuZ20MbO/3oVTAHoIZEjU0j+GWk/tdYCTldutPYdCjwtq17cLmOSlQTm4obUGDPGM76/0e0FByxyrjni/S/81P9jrX1dF4UY3QPe93wJWOnEujvV818A+ac/tOndq+jEl2NxaIZUdoXWrl3/wW9C9cTVhmheN7opoyjUKPNFbcxCMd/xSp3Mr1cD2ZlgF65NlmMXFplmgoJrLdGRAO7PHc2hOy9K8zjxyT0Zegf43HFVB2gr3bZPaQoQBDkd+ckMAOY6+8s31fiUwqjElDTlMO0EgdDc+gEiE61EVEAENQbWZBmaky//5D9+PTk0lh8E/3u+BBge2nCveuFLIL/xwc05dHjkj5R/8JIxyJlgqA3HpSO/+F88HsYc4mXfGpORX4fOslT7UdeWy8woXQ3SlYPVF24GiTVFMtUN89WfO5rDkfNZ9udx/H9v7vghvQkN7t5F4fyvV9MkOTAawqPTz3aUx2/oE9OpGT+WaVr6UUoNZiOuVjyWaiWjMvNAa63h+Isf/1dbApoFwA78FCAvg775+wBZbvcYLlh7BPzv/gJgMFopkz39Y2Dm/mBbgHaVjAHjN1YW9//CMwJ1ZkHGiS3XUy1qEkyMipV9K1sHSldeHuczW2s1tgBeUI7m9gB9h99Ox6ETmwN6QzrmYZads6AbcHzMsH2NtuI1lVqboGVWas40ZBLBRxaWfWQq9I2856XH/+mmgGYB+O/6KrD6d7kh2GwBsj/9UbDNr6+7c2y8G/zvfhLQ2+h9So5w6vm/Bvrqp7ecLRUe/SPp779EXnbGIkvC+6/O13/sqjZWeTxtK4sCLPO4Z3sRs14Qogx1Z7liry9Wwm66+hlzIofGwOeWqJs+y22KGomOnE/B9gC95RO6zQr2wi/XIPL6HHqLzljAZtWxfRqDklJkiEmSkoh7FD/Yk6WwnYlSYsK6NMGEoTARZu07Lj3+DzaTodnBj4P/8D9bd2Erm5B944Ngm3/q/s4mPgDeO/4DYJ4kdX1dWgw++/NgZv/ltmYiCe55KhZHZyjqABjD+cpfeKETvWXZszIue8lcyaZJ2c+6IYslMJ93dLVqKKCFUvvZ5YU6m9m1DLwizdzYPf9HkQ19W+N9syrdvSLH4i/X0oRt6WuRZRpb+Mh0G1lln+0tBmKll9hysJq1i1AtYqN6Y7Ubqn5QWvC0NuLhyx//1GaA5kf/Gnhv+dRGoMoVB2oMD4P38L8C5Bu9T61OQX7zo1uKGYOd9/wH/qQjpq+R8wYHa66NffxPRFBJyyJbnghu9LUXDNeSOhprVJxl3v5xaWrVirgyM2mXR3rMbdyBYP1tBRnexD1A39l31C7+zVqWdg7SVXzLbYYaidLv4phoW01Wl+Sxo5F/beYwm1/pZvUo9epRvgVEXiSFdOiJ8mIWHWCMWR+sPfTSz/yzTUUO/wAE7zsP6G2MArOyBcBLgKzIvbQ2F1Z1QT7zY2AW/9OOJog4tBTTlxi3xohKp73vF76WGOAlkXbGRXOWxCcB/aBd0EjHvr7WBpuapnjLwY70KvfguZd9b2P2m8H5GjWfUCrdxLEzexx6R09sh5UJ0NAH9GZNX8seujdAlRzyXrsOoG3P1qME6pFHtrZ+sWDsii5X46yyv4jUPn7hZ/7JVotCHHsP+N/9OUCxvTBCS9z7T38Y7MqG8L8t7z4Lj31Z+gcvuxcwOHKtOfbfvEzOdgFmnbFwYdaFsQyVwMy3fZGqTAp+Gb/rbWPmlZcm/aWdZ0CKqjf2AL3lI7q9CvbV36hDlDoOvTHf/loG/QvZW09NRM3rleRi0/e4bcpKycBYKFwQbIHozLZNqdpJCdB5OXbhZ//frQBN9XDs+/ug3ny7F5vOQfaNHwTbfnZXN67CY1/OvOkr1Lhbfef5uPI9N8lHMAhkuypWZj1kWCTzLbLzVcxC2+ep0z2/kL7tbePezcv72c0dq9+akt1oHPvflnc18De40d0rQ7/6G/VMKKfUJaBmUiNRB/D+MdHr8qGjBi3bZ1+6UikxnQO6FkH/80z1RYhmJfVrsaruM1JThJM99vLPblsPjWPvzTUZIxZ/1L+NZyD7xgfAdl/a9eMlQKfe9FXqYGXqY/9Ve5MJBYMjpp2pUvu6TixbyxOS5wzx9Wzb46mSpupfVPe/5bD3yrmG39n51hKS3cA9QO/62W2roV36jTqkOaA3K005VrqWHj5RE+25feFr88qOhamqlIRltsgmKoS1zSyqdjRxaA2Mczj2wsf/0XY4dHFtHH9fDmq+futE030Fsq9/ACBx0sKui4zu/c+Zd/CKxbA3t+/nv84YGmMsi4RpTwZLs0qRU9X6MoYzK11WETPx0WOcG3MyeuHVXQ0g8maxscehdzV3221kL/6PDWBBDugNe/qs3wOlhftK15PJI8AFTODiQmjBJAiMwvEEF84EHmNjbEGWjjD0hUXN77/w0393p6ZvNv7+XE3X1zmb1rOQfeOHALIb272tW9ZLwnu/osJj1+Lw1Mxy7X1Oq0HRjz7GK/vKrcs2ppQeBhUYDCUY5TFsJyJomtr+ahAvTNlLN8qRy3GW7w0zuEfMxglcv48Xg1k88tsbEtnc9k3dgQ7uXpGDAM3FYTcnJGpIjY7eojTteLSc1iaaWXmfAC0nw+68UACpF1QyKEVKQbln/SpHI5m25sSFj/3OTgHtLh0cAr7/x8GqFTCz/4YsLq/LY5PRPU+l3olXl8Z/8lvGG5MaDbeWC0SrygEsM5vpiKkWil683PaqbVOZ8oXsTbCl2clys+mZbC29dTFXREfN3/B51Nf3AP26PMZbd+I4dNQH9PAD2MBx8n6kjrxFNVafs+P3JtKvMs/aGsduJFpzaBTrqOokOQ9zLeG6U16qAAAgAElEQVSeV3/hd3cictzh24WkfPoPFyd+/ovS3xdbxii7NDLOANF0K2x5KeWNekdGB3qJMpx5ftVrz0zaG1cqYafrQxGa1R8lhWpJjrAasjU0+g3zCdf2AH2Hn7C9/DfGgKkjO7lMrMfL87j/iLJBRaVJTxlgynolwxnojHbGZKFgRvoC1b2v/Pz/tSsOvZMB7aBue/xHPtWc/OlvOvnIIGbWcKnBl4ZZH3WsEUXAdRZy2wIuIg7cr3jN6w11cdYTIxI27uDagN41PPy3dxWPuJPLvB51716RgwDNs6PbnYQ5c/SAZNW60DJm1ihreu4TnBkuDPNFW0bjbekdUBKdNeS7Z3/uk99JgF6of+Qf3Rz72PlUW89oKygtB3JrAmbajSC5VuJZypiS3FhNicwkiMAw7hn0vX3i2mVPrexcu7E6ucHMHqC3i7Rd1rMrf2MMOsmxvPnmm5TM26PTmSlVyzh7g3MwxlYDpTMUIGhdCFpnmPFKdTmrHNQuMBbxwct/6e+AMd8xUd8z9b/4L26UP/KC8KziViuPMy2YMQHTrQnRvmY5RbwLQK2xyJJa4t1OjLVaR1X2TfHrr0Sw0Af1+vmSSlN+GkvUzWb/mKibXmZm8ODfW9jlo3pDm929HPrqr4yDti49AXjMAjm2E3VO+wbJLZRol01WWurAsZq4cblhFjqxrpfaWC6tS5urNWSsXGmn5WkKkKX42WMz//3/zHR31dDyhj6VERe7NvnX/m5c/54ZhmgYaLBAcjTF1pj2ZNi+prVkw5sahTDrzNUpOz7Z1aX6IfvnL3tkUNpkvnL2wKwEg0TdUHy8ugfoO4wAe/XMOJj2PaMuI6UEz/OA6Kx94J6AJck4zNygUKuurpYN1ktuX6r+PleJUiChWm2a4IAxBgUT9vCV3/yrIrv5ljt8G9vu/srxv/erRoytU5kYC8xjuj2BzetiwG1EkTpSUAr2GytCZ0pxX8yaB06N4ZVXKrzZ22rj0OHznSy7Ur3vd+a3Pdg3seJdy6FbL/zmRNVPRgN6QAiZMfc/NM6WrntqrlWKmO3osXKMfmlt0zaAQIJZ1F49ltUDzpeDARy4+VsfKcXPf+BNfDarlzYsWrx09Hf/lyLTMyUBM8CAc4sBk+0GLF7XlAC4/4I6TQ0AVOzcsmBSkWfhxezUqXGcu1b3FjaavrfamDENL+N9f3sP0HcSDHbmNycg7bngPElhreSrj3k8XXFMdBbucQvHSX1xxuNgOqZajlmtpHVel0pgwXR0WOtB5QDliyPjRCmbLR+89r/+TwiKUuO9qaXT+IF/Pj/x088M+8kZgxgw3a4Hi9e1ZlgkyeHALB3vx6VFArRknF+Rp95+kF84F0HSD1S79S1tmE8TXMKTvzU6HOdNnZmNF79rOTQBWvZ6Jx2AhbFSMSQ6fIsJlMKZ5MT94/7cTJTNrWRsoiRZaZ19mnNlmllU79qSCxgwiqIMrZ2a/6ffV+v8l596M5+Z5JOvXDn6tz5llEAm8o1Ci2OrBRMsbe8PV2a0Fizf7GitNPy5RZtJM2MevE8ILSezVy+vc8rqVx2ev2Iuibr5Zd7FPUDfYRTYl351UrLMAXqrsmgmxzp2Ytqz3ZUGj1tSiwgGhU5rbEtG9Z6pbIiAGWt/8b6x1md/gunulikTthrHTs4j42m39MiXZsf+uz+2GI7ckJPsKxzSToN1r/EBGVorAM61QdtNVszBwwyVHrPXrpbF1tx51Bgzzi5WTvz9mzsZ/5tV9+7l0Nd/dVJ1k/to4m61dXDBr6RGlvFGeV5O7LcYRELFvZIXt0mFp50vkjBdHdS6MpqmEKzhhyFszMu9Zw6H8voEV/OT3PQ29xXd5dM04Eklxhelf2ChF771eiKm3c5TJA8XcjH9Lo6VBfRRtvd7rWspGCRRAzh9rTyvq8vjiiOvis5iWS8uVnh313powcVruAfoXT7VbTazF355SiE6QG/cV3A9xItfqa5ES3Jsqm2rUwAWQ5Z0Sly2BaRpApVqM6McA0P5WlyKcVqC5UuxUaU4R3RUGW4/XH+r88N9ru5yyBADkO3xYOGqMR5PjYg6Kmwo60e+UPGEWLwS6pVOxdNycK/wbU7xarVuql6rnP7U7XtY7fTCu6h/93JoArTRD2znnp2rKBok2tKVasdONBT4QddAxVjPY2hoxxxUVtRo0ynGGO05DApsf37I4EBGhr4zz5YXLeoWzlLr2zPg1oBGotRVcUyUfm88P7yNJ0GaW221ANBZJGw7kaLMGMX3Jkno6U7E0rRh5+cEy9Tg/W/9+o9gD4F5Fe/ZA/SWj/12KrSf/cV9YYg5oHew8Wtb1yq0KDSGM8OQG+sLSo3XUf5YRwWTxIQ5GsMESK6t8Rko8j1evytsMfK1zTU3vZetdt68RePii5BzdECLhknNuQLwlEJB7v0e10mNJzcjoWMElQVgJCXuYNbYGiwuCXTM+bZKhvqV8qlPz95WJ29Q47uXQ7/ya/tU1n4wn6etpOi1821Vq6QmqHDPN0WGaMo42oWg0ZTVg9Zapi2SIZlbcmuzlFUcLTC0gnapt8wwZgwnfzcOhmrQppmMceu2g3XJFCmF1iDYh7dCZmAM7VSViyjEmeky9FMpWuppRj1qbblGZMYK2sWNgWFA+wVxrrUwTAthjMey1pTfmbFWWQ58nUxUhZt9QG81P5ujTYC9gHuAvrOvpCVAy+5DO71KT9UqMZQqlqEtRGLO0PRMUGuaaBotkkUZrXViM2hrGRiO0mpODkEEb2uAGQTa5jXfWg2wry4kQse0tMz7JzFgjZ/n9R14HZJtvkXbqmiT82IaG+1JiIz86ig9o7Ee0v61ThyyaKlPbSkNaYhZezzozGhJ29GtLw224PTQO52j4foZ8gvlB//P67fbzxvR/q7l0J0//+v7A5GOBjQZTdxuVrnxZFAiiW29rHilbCj9UB9sWlsbY1DrZJU8z8eQiGCURUZbqmmLYAzS9mpWW9pazf2HVqNh9DeHR3K2AGK5Fjnt/Lo2x4aWosTPdc71+3nLSdtClyUen48p75W6pDMkeqBL0VB8AUjSd/u7gWBZe5K3rlGDAjCUWoleilJ2czkQanVBuBpyxplV2qCgORqeoBEfPIHiZdwD9J19H+2f//X9iqUuJ23hu0B0VKEHVzzANtQqmalUKWU4J0ckUoNpZWNbra1Iz0WRE1DcdsQDm2wTZ1zltP1zVCcv/V2pCOwD7RG5+22MIjHEUQdcTsk11vrP+14TUWjTT4d42qK5X+hPq0oUA3TsdnbzuG5PwNIM5wIpJ99gidTcki+UHLx/dx5XU6bnL3zf96OYP/IDKf5G56WEl0oP/9+7SsV7Z1Gwsfe7lkPbc790QCmdJ1neQelgtRLrasVpc/scihZQsSrVViCazlVv62Xe1V8EYOKK9BIQRyQJABhI4pVODqA/kRtcLg87Vt8XS4ohksyd6ygcl3VSOlq3kb11e4zT1sdOKHGbfLvrrY2okLlzNSJ9F0KbtSdEe0YTSIdKxc4tBaCL7AarZ7daQw9L3NLii3uA3gHIdlOVAJ1q6bzhhg0Pw/0VhgiiHahVtKlUNG1guYoyYzsqrLVNOefQqzIxQZtEWQGKUa5ozoxlnHglffBpf2JS95H/tOtqI6Y23NoA883lbwdcuiZJF5Zy3ljBSXSnhac1OaX3xxi6YPFNIGiTFB0I3Zrgy9c0qWwGr8bQVmB+yQflNlkp5mg78zU8aGnti6W3/8OZ3TynN7rNXcuhu09/YpoL9Vb3gCwjKRaJugkcYjHkiEQ7xBJ1gIZyLkP3gUvgjk1EgaXTjrtSwkYkJsq5BhQUW2itYARj6p44MQnMlKaZdGmWNixGZkCrfBtukhY0APJcHl6n8FhdFNL1GSUkI5mblnqoweYvCpDihPb0JlmcNm+jbQWcfK3QKo1GU9SYonvwMGtPYWvGIPHy/gK0z9IrYmHRRy0H73/UfBVzR3TUecHgBdwD9J19N+35T0ynsX2bu8oQiyYGp4HTdu8O4LSY4xwt0S7WKpktV0kN52zIBDAmTc9UG8u6fASAQrK4sEg6amRIsEdtrCFdhyF9miamysFqcoVySgqV801kpADpL9xo0VeoUQijffHBVaT8zk5koc3n6SXpixLUgdN4kATNGKnsLDJuOHLUSHpzx85pucu41SiVjpCSNbYuu/RRoi/DW2up/xrML/io5OD953e8lRpv/flA2HN7gL6zeIbun/3lg9xiDugdlAQbla6Nqo6bWWUJvIqXyl1bnmxnfNKByAXskbVQK7RacbCKWcqdT3yyL2KT5mFAJTc4hEKdt9mw6CqjzOxrbRmQNsWQiG0svVhMAfMMQ0EKCvcCIdqA6bjBs5ueTVoe9HpOBidlHwMom8VFEjl2MD0jqxo/OFd666dc1qbv9HL3ihwEaIC373SCu1itZKZUIbaeca8iWaWhUUSpZmE3sxUSHRBkxsFIkWv8co2E47hvYnHCdp69wAA5krJAA/d8brOaDx3GjeQq6QYqWeLQzej+amJpgeduHLdVjBHnSo9+2uXV+04vdy2g7Z/95YMpmofdBG+1bCeJ2CkhLCZYrfSgXEtZdSzDcMxycrxkIKX1Oyn4PlMxcWa321TfVEGTRIs/J6Hnlo6+LN3XMZPimZGsXDQoxIhc/CAxgowvhQEFi76dgWSjwxMKtEzT9XPjI4nlrp9+VcwlGC4ZD7gQrCxs7ORtkrNRJ17WXvBtt9PgKzmgB+5/JCD7c+PmiMqQRGK0//weoO/wq9z76s8fYpw/QpfRoIEDd5RKcUw0/wOt22iHWGO7plpZEgfuURhN2NxGjdwwiLX1pDQUI0u+EECs0Ir8AaPKDRW5vOtM1eRWAdaB2Lh0YtqS4qzvjEQ6Y+LoRIfxSvK0wzYZZkgGd2JzLsuQqOD02KTN4OheElf6L0qhv3ODMLSgZIJ7PAhAUnNaFJCoJABSoeZn96mblzlqPXj/br4G1hRbzZd7kVLxfPR9/+j2kvPdYTwU3d+9HPpbv3iolyVug5NhtV2mFQKLuGGWox8Io0MvsSi48Fhmo3rLVo+6mBS3ICTcok2lAplpA2QEIZY2IGLkRg1CE2kfSBvhPOWcRZB+O+aItMlJ7mVPqr5igomz04qSkR3b0dxCQos7JP8Px/RJS9c3oTuTNynrSNfsbCuW1HWD46HXltTXOh8XK5c9Mooi7VTozPZgwAfTLcH8qwKU9NBoa7RiqJSfKWVRa26VKcwwW6k9reDPRd+1B+g7+k72vvZXDnPQ79AghOS+Z7jnGfA8QonTIOTJDI1TRlhpPLAK0Ogmm5ju2drR3Ae5b4kjy6CySOl3CZikoiOeTP4clnESWpE0DM7Pw4HVLSlp78scuAV813lTFD8G1HaFSOI+6cYt+pzIUUi5uUhjOe05kadIchIOyRrk22FJvjdkf3efEIvaGM9jxuPUz5r4Qq3o3sblzecCkaSGCa7pRjgN3HcDM8TNSeuttSGBy7Mq4zpV5BI1/OCswueid/0Tty3zd3q5azj0E088wU+850Qw226XfF6OjiXPHB3LLr+VPs9gjRaG5F4yL2SKodFOjeWR27EmNmp8BJNZzZr8yNE2a9xL2jhKBE2qudxFCJnUgHGqaNG1aiMh4cE668naVJHCgzQcjqs6nk3rtdx65wzWhXPSLZaRuXElB7xzVOp3vXatwbfEyeA0gL5F0Qnlzr8j4GhpNyun+wZN7xo5MpE2kV4CfUBffTowKx2SrJ3S3NCHhYPU3NOQx1UKlmWUDEEx5jlrPFlPlTaCqUzoNAOdSWHNM3uAvs1X+ckLTwbR5HQEC2kFQhNq5KR6NaBQeZUgO3bjy5O13iunSWrULKparbIKNFucVMHEeFgoJHq+smEkuV/SGISWcV9ar5JAab+TigecIwguxtKztCi1AVIyEzKck1DfVkKmardpD6V4IebeBzNhiZKkF74dufcdiRd9B36nBnT99y2KuVyMRjtRppBpnYefk3Gd60fxWtDrll+JLu489SyGPrmxInLy9aNru1CywpKIiEYlESazAtPEKik90D0uu7Fnk1RiGCjwPF83u8A9TKBMG46qSHe6lIRKmsAnLxFSadI+ny1x+IUrlXdc8qKoF8/N95ovNZPHH398ZJzjbT72227+HcOhCcAsbJStwlrFY76SmmmmM4OYsK6XctZDXS7ZmPFYpW3/oYXnTzfUhYfKcnHF+LWwp0VVCC4BGNec+xrCQCMGBnlgme9TkiHDkdyAiHthBqJiyaM5Vz4Q4PoqXJJf6T/yJVKWzNFGEdIcX81dQglAJMGg17cE9n0uHMpzsG7qDz1gaCFrn6vb/xs5RDmZPXckze2GTtQBdBIKYV0w93UhQSg3eJN8Lml565g5B5NwNDExdVoOcMaUMVJ6CCmDLLUqUwJsxnUcuzdWaeObVodAnPBKVUsDVd5appQ7BO4kajx3Yf9PzkBXhSbQATEXZqTmJuhBr9t5/6n39+gVum00vg4dvGmAprXO5175eoVjWvdYqaSZYlpZWfFNT2rZ81JPy6DMM93zGQZph3GsmE4ta2bYDdjiI/Irx2rp8veTasGQ3GwZRU6BBuLKfghchBq9gPwdBJjMs1lb2F7HGkOZ3PwEKwc08+qaYlNIhnCGP+aUDS45vns8zt+N7G7O+87JnkXsym1ppQmehNRBLcZQ9EthPySNIDkokYzklqUO4049kjtdOxM+kkWRwCvQZp6J5yLoLDJELa2IFIuqGkXJAhcIWgmrY2azhFudWqW08C0piAx56wmmMz9tdRzn5uUafapWNP/a+cpHLosSCD/J4nJQZknF83WSlBAh1JKzUsPLuu20Ewndfuyex3YdkHu7mH5DAX3WnhX6RV2HUr0OWRxyI4wSuoeB381iK/eVhVqcX0QxXm0krVSjD4IjQ901dula3KqeqFlj5URV8NJ07/z0VPLSQ7R6J/2FNFFZe35ZoYisAUo/EXs6bvsmbnKTxIYJEUO5ZoQXMW2MANkjCPWgNCmVqFuGwgmmzneCOHDua5Tjur/w60cA9klfIzeCMfWxuepdOtDegXHkIrLP2/suq7nn0nqf/dVlZn9s5HEN5DXNnMNJ4rN40Ye0hUx4ErxIIBim445nOh2ax4SXKxLCuuZhhdL/Ca5TobIeGtn1DHFrZqzhvhHAaE3CQcZCd+JF7/grF8LHZpuxkRHrtMYqY3yumfjekUbsMw91O+Y+h8hjWDJWB9pwg0p3VdJe+dDbP+Qi19+ocscBffbsWaEP6DqvlMZsYgLQQO7ynTjVvTJXMvYPy+jkjOaX+dRykmBgQiszyQy3CqTh0IvbuhpGUVAeYwK9EFUqMWjds/TZfaWs+V7Jo7phUUkDL5GkyW3WikxnieukK6zKUDDegdqEZqUagpHcdJtc9mJPgJHOD4302GHUxdKE5lFdGx4RHyT9Wn99tx7PhDNOzkfk7ZHrqVcjUAql88aIq00lEFd9QMc83P86MJD4QQZ7TisK8sSTvTKmC55qrQTMZE7B4VJIc5byck2zoEYCVGh6S4FaXjHM48qKQHm1WgKlCcN4iQNKa9Keb9OOr9tNpqU0fuRLI0q0iugGB565WXr3n8lZKc3JYKLb1BxVppVtdaeiKT0fSy5XQMHJQB/sGkHcGzNVYYgRZClJRJ1qubr06MFHd76l3A7fhDsG6CcvPFnzbXVSM1UiEAswbSPqHdNZVE3RlB899VH19Ytfn1pJMpbqzAiJoeAq7ngRF0vLnXTsZDohmlOK2zF6dBptu9c27SP7q1k7bdcmOy+/o9q58m7iyuR84dl4MdCtBSHTxNo0C9GaJmtMZl5jkrZzZSpeKunlxcDKLEXuCZtJMEY7fyJkqKznxxCGhkWVFIN6ZkUFUAS2v7JzZpKcaVpGC8Y1c8eQ97QzJvaB7uJIXGxUUZ80JoXdchOBo8+unX81OSu5EFkSfyi3tYc6ZiZrh9BrBZB0hE0yppUiDQZpbehrxBlnCpTSGJVSVt+fYlAJTNaO9PINX7faBrmXYugbUar0WG0/8LAKRmUIqhuaXsvXK0vMkl7EF/PRva++NvHeBZQqNb632LoK8Ynji9hMxqdUN/fMarbjLkAtjvxFrExU3N+81POSSuLLNq+WojBK0sRyL1peiq8sP3768ddnr44hwL+ugCaRAi7BpGZ8nGUMrUw7ftlv1YJaJmdk9uijj0oCeiNsiFYLIGZprYwyM53QLqllI6qp2wuvwRuT2g8nQyky7fWWwyzsXdfXU6gd5mOxPG4tHhxLX7t3PLn8Nm7SpYpemuVZr8dQZuSszwXDFZw4IEV9n2XcE2lztgqL80zJTIlS5KlMaiO1VzgXUeQKqfdcLJQQEqwwPPSk9KME/IrifmSBR8oy3zAmnBmQNBf9ybSckdHQ6dZyEYV0L9xR97uQl53DKOlgnBWFrDqry0dCIvmiFn06nxJanhqjfKZTBBn7OusFKLsAaRLSitVm0r2Qww+VIUttFAieOseqVPthHE0d1EZ4ApJeJVu4wQz5q1DmYM5NEAWxLTcSf+wQMM/nWdpjQveibGW+JJeXm2L8uRcP/bfXlBE1JdNGAGEq0+pMdbzrrt2TrBZwWV7odQzXFaPnVesnHnvMpfI9Yy1736Wn/FjFfh3rYQZYy7I0FJ6JU0jnP3zfh3e9B/ko5v26APrsxbOhsWa/Ba/OMnqLzUqms5hSE3/4vg+ntAB86tJTtW5bYMCSqo38IOkkSmplogyXX5mA9N3NfWZ5DEqQdY9yo40Mgnk/zXrzp+bjx/Fxffbi2UYm7QMW9KRAETWSK9OHWt+Myqa9YE038Ujt1jd999jEZNtrHGbgeRxUr5Fcf0Vg6pIUZqxURtXtEZiL+rTHuzM09E3lxXFiNaeVP+1KpMgnGiNfIfe1ZYFBz9cWfTLQ0a6A5I5NSjharDnfZkvxrAU8B3g0QYDkFdrj2GoyzxjubOhKcQSF1kphZcbRpKhl5nGdMh0rWuCRZsHnRrkYl4FcSsV4B+8ntSKgEDNh8vtWNgiAcUarP2bi1ENmButLBlxjrdTzJo+kzBvnhrQkWvqmvejJ3mcn3/cPXyBNlMf2hSprj3EODWtYs/nAzStwHviJsRNi9vosTOyfsP5NXxHzGgbcE/YJfnjmsN/NfN+33Zr0sGpTa4U184898BhteXFbS+3B5ckOJZW8+levfjWKk/igNFgpo9fuyu4KKkybb2smDoRnz4pqtYpRFOFieXEibseipwwvRSXMOq12nE10YWYmI53m51743HG0/njgsbmW9prpc9d7ha7z81c/P45t7y3IsMFJo2FMdLD1zI0jybeOeKClNqSacnoK1IzzlnfoXoVelYRbD2S70bv2Mmf0aeSQYhBpRil0k2TV1cNSmKsLac39p/vHROm3g14R4mTok84ZfYwpypSg6WIFuEClkVMwABkVyfSSx3BTAhtauZFOmlRr5HgEhvBMLqlk5Wa+0eTJSvoUxmhJpVyyG5CZ06nTl2NwDMW9EnXjHbh/92AMspiVSxF2e5ySnQ05B2y8v7X7l1iKlsKpEwZLdbRpxhF1m9e+cq50z+cLMeHcuXP+Rb1U9oIeMbHAsOTiTjkt9XHZvxwyWSlHwjY0aiYxmP/Qye+jtL27BvauODS9qb71DzHLqjzgrXarvdLrjCePv/vdpK5ZHQxxVeazaqepGLfSkxnDUOPccracnU/PyzOPnVH01o5dGLvfKMGtTa9PxpPtwbf77NmzFTWlHgbBJ9yz0qbC0L768OJ/WIrS+XcOv4kKgqBdPnh/pplPmOAAKkwXL5X0cpMeLAHQisB3zvtWS49k6depOKDQNQonpv5vRsoDQ7pj4/RjoDn4wjq7JqnKCmDeahhFcAJRB+Ah56KiHd2bIpHBQ7RSqZBJJ6dSql1Om6+Qg9Y2CollK8HhtxoysyMzzdLRF+dLJ/74A/d94KUBfTP+wfWno0q3PW6V3S8zefVDb//QjlPuOjH1PIQ60mVPeeMJM2REuPHYA4/taguMbd3gwBzg2WfPHrJVO4EGu91ed7G8WI4fe2xN70hM5usXvzwVa+71ZI8iLQQBOUhhaa49l4bNcNXKRHU/+8IfnQoE05GJZt7z4Hs6gy8EyV/f8/yX38I9dhyk4oZRjBBWfMG/8L3Xf6+ijf7+4edDMvCyf/h+gywszjHQcaRWbgRmZcVxYUP7YqOgjQ0lcVLUxjNGWS51waXX9Xu7QXlbgeg2+neLQC4ExbDTEpSB0cwoRfbHW152G9dbDg6fzHg0xbROF8N7LyxUTryGIvqzD538vnWg/b2nf8873jg+xhN+LAuySx++78O7SoxOjG3q/FQEJaiAhklttQl19+p7Hvzx9lbTN3h+24CmxZynvGMBRcsbPheUgu67j7yb5OTVQiJGfDjmHHk9yixvZh6TqGRJWNWCVmd4Zfull790wmpbNmPmtQ8d+BCpdNZ9ar524claW3nvMhYjcg51HNpgdEPb//hzS//S66rOj20AtLEYB/v2dXjlUJGfwokN2mTCxs2S6S4J2+mR91EuKlCeL8bBCiaRJAHnlWRyvxDiabe5JdpOnsZWdZE53xPDyJAkGEV9OwdZElsIyERpvE6Lfnul5e0/3PPqx7hVvfnooWdb0ZEVMPLaD5z+oWeGrYLkZxM8FEyGLDwOCp6/Hd0zAbvy9UrZq3gN4Ytx8GBl/k/nr27X1L4tQH/5/JePCc+MJ4lZ8Jm//Nhn/nMPzpzZsLr+40t/PI069TqZYr41tisF00u95Weh0Tnz2GOEyDVx5NzZSgbZ6TIvnx/mzMWj+Oz5zx4LFD6SO5xzcqKw2pp6ibEv/qcnvnbzV9/13E9ahArlEBhMHKNQeB0+MS15ecI51ReO8bSwIq8ym3Z922v5JunRAoxAop1TsvNRQsYRleac8n3lbxGAcIEihhyhKF5Qry4AACAASURBVBS3DxqyT5JCbz2AirHkZu08e9Lg+Ea9hO5vZERy8nCufmMokILE3EvXTyzjbD/aWM+5fzvHLEqF4Kx8nlh1oN4RmkeNd14cOQVeUEWA+LXK933VeEJrzbt+xf/KKEvg2bNnRDb9riMqU5UfeduP/PmOBjCi8tNPP+3d8G9UyoG3n1IMhlC9+J4H37Mlt94U0E+ce8Ifh8pJTkp6a69Pxpfbjz76VzfInF989Yv1MR6UukkcKi6YbEmUkhTL4Zxoi+5jjz22IQzoPz37uQcygbp1rnXxVm/fl7712fu1L06ByrkzARoVi4zVy+Fy+T+/I/nUMcb1u0Y9kEx7QebXxxJRnlQGA/J5zsMBXQg3aZJpe7TMQ91DlSQBZj1m0ozRIoo4IYFxNddFzhlJRs7DV7mLWll1zidNdt/FuXg2ubEkl53FGp7JT49esA311z1TNzy3nRrpPwyjjTOLvzmrN/kiAXj9r8dWL9BOz6e81ljx9j/EUaU9f/LqtfLDL7v3DTCLW9lXfvw9o8WAJ65+NRpfbj4cZ+rZjzz6kdfDiIJfePYLJWAwLridkgCzP3TqhzZNGnlLQH/h2S+UmdD3i4C1PZXefM+DP75Ovh18AM6Iwv0IumTlLEO3OwcmiNLGSqMzCszU9vPf+vw7ueIvffDRD5IecuQn8nPf/Nxxxu3DayqqPDLFMBsZbWektM+8d+EfvxcRXD6NDZyPdMrMLyW8NpbZoE5+PWQY6ftf5pihkFLQGslfmpzhjUrB6swHmSLKjPYFh1QbEAQuyqgETl9MrsWrpdDK8bVFVxGmRYKLE3mKROXE5d11B2IUCay5UjgvedIN9zeX48iFo9A+yOTRcYv0ULfLEvvtY15tdMTEveT8ZC12X2t899c1RrQnAIV49bx69Me38tUgcaH6fPV0meP8e7cA3k6GS9y6V3+toW3jEDO2+b4HP3TxVu1HAvrsubMVy7IHrFULiyvducff/fg6WbnojLQdVebtN9JwySTq2Ng0ScCgr26ywzf+6ghdZNH2S8/9wbuWxia+9fiQHD440C8+/cW68eN3AyCZzPNnzSlWw31kAzC4WLGzL5+68YePcASnBdkAauK2yD2JQZRhqSZJnYfCzxNrDQa+Uv44+u3SFxnKeoDGaKC0BRT9DVpx8huxljzVCPxaGEonQF97ZUmvq5my1MRFB9wiIrwYH3FNx+VBIAHXyfOWM4Uu9oqTidoCCgNckFORtMyjb4MHmTNP+zYd+Ux2ApTBuoTYNJjcn0Bt2nDnepjcKL31zzpi0n3maTWOHlz72qkfffrMLTzrSJauPxjdZ7RIfviRH359AwLOnGFnf/ztNR2FRyExyQce/hH31RguGwD91a8+EaXV8ukM5M0my27eykTZN5b4pUSXlae5zixf6iTCEx5bvrG8/PEPf5wm4paLky+f+4N3xkutCz/6/T9LFqWR9WiCaqeit1ilTzCXrLBfyAhnLUewntIoA5lcf2T58we5XBgfCSTifqQi4UyQH7BiXimDoGIwiMi2a51jZhHk6mzNbkC5Oo24Y9/5mSgZoHO/aArqIyWgS91MOmXnXkoWcqus0zujzkWHtRjZfigXNSVP+ty90+mtgZPWm5LFIMk8zEXGcNrZKt9njn67eC7QnNuMq14nBNniptsjMYmMKMO57Qbna92eFutQwDAWjbFYVPZr65XJeVWD6M5WHni2JyZymZXiiKVUSgdP/8g7f+SWmfxJjo7HHnlr5InZx07fut5uXzqSep688GTVT/A4Z1nvsdM//sqmgCYtBZ9OTmkLrWp36tooa0/Rwdlv/vuGX6/VkyQBYs6pjDWmqLMgMfFrovX445vb6v/om//mPssD3nwxvrDZCvb3/+T3q+Uqf1haPUXXRovEAlPU0LOcdci/KZFG+R6vHVx57uh+9doRXy1nZH1zThfUhtb+ZP7of/5JO2BMIKzHeGa80HA/VOhFFrlvgFEYF4nH7mXPrXJ5KQ4oA4zh2iXoyh841eoHvzp2tt47qXDuz+lallDG0GVOcqGDzlCZ+1OvBR70r9t3hDIkkLvgKnrpKL+vin3dWymZ3hJQHEpfDCru9Vb3T39XtMYIK/WElScs8yKXDgqtjVlj5lLpoZe4CN3KhYLijZSU8ObFqFl/+VYiJI30q1efiLqL4TvEcvXpQVXubQB4JBN+8mtPVis1dlJyefMHHvjIuiSS6zj02Wd+/ySrcq+L7DUyWW8yEDx78WwAKyuhDi0HxYXxIi4XpWeyZveZ939s6VafpaJPsjJ2Fua/qwvm3E888hO0GeStuDl+6YV/N6669phgUZJC3C0ZvxsrnmmhVfxarCqPVDCdSaPSJFa9bnffgd5zp2vpwqHA9sg3uEcqOM5JM5urO4pjRx2D5GSC4aQOsySeAA/IZ5qSe2rLKThAME42PMMo5YtzaCsCX3OtWT+KL+/fgU7nK79RxQXI8oFMdQO+HvRAnAjdjxLM4wqAMjUppA3nrJLM6ozc3bhSJOOn1vQyj+J5RtwfXZ/+TvcqDYiUlyvGqzSkFRXLhF9cLPUqNxdL97zc8SZpreSKQYPMknSmLnmNxoub+TmT/Dz5bPig1sp88B0/+eJ2rX3UjqzKOwQ9fv7cE2M+lO/zuTo/qKteBTRpKkSvd59K0wsffPTxWy7U6MK0YJyqqslmmiFTxJ1RxxloJroaoNr7yKMfIfluK10onn32yUMZZIcAWs9/6O0/f0u/WTKw/Ogzfxi2286LSz02pAIsJuPpp3/PS5IDYauUhr40Ywd7L54qycV7fdOtM53GgSHf3zQj7QFxs77r0Pq5dLoLziRSVkaP0m8x8uNAJrhybse0VYsn3M4VKLiLesmz0JCUkCdv7Afp5okeaX1H+Qmcx5xjwRRM5lLskkOzk0ddvgNSgGhmjNaoDMnnyJSkzE2CkudZpQo9s6VFC1LgpKJkeKv3sm6hmudTZwr9UHlROcOwqtEr2TzMBjnSRqWQdsTY9Xbp2OUe1gZkcqfFoTyr/3973x4b13Xe+Z3Hfc3M5XBIDkWGeti0JcWULb8oWZYlS2wTO/Y6zSYLa7eLYFM32appGgP7R7F/lv8uFigW2XVTB+h2GyTZBV2g29prw3YQSY0t2xJpVVJEO5EtWxYtSqQ4nOE87uO8Vt8lqVDUDElRlC25voAggjz33HPP/Z3vfOd7/L5YifCU4t6HC1kt8Ps8eOz5dSB0eymOjzU6c80HLYL5C+81fZESko3DSBglgxh4NQxMDSTUzrnnwr11rGrYD6qjuR63ixPW0rfpXx2dxdslQB849n/vAgJFfSE7utC2gp2hahK3xE6riE28KjDRe1UzPp7W+XxeHzhwQPfXsVHXW4HoZbrNtK1RxOQp6HcXW0hLXcX9Fw8Qu3btsgMvsBVXdmt8ti0bfrTREVPrbFNt4xgVr6LQMjLECD0ulZhLz5kc1tDxMqN2JHbkaW5F0MhgkPye466fEJ4nMRuIWOSDxnzs5FA1Q/k4o+YkkhCNlwTd39N542i9QJMeAh21FI4Uo5iLmIh8VEOm7d5op8Mowtn3n9WXZ/mtp/XjpOiRpYjlRmClNLNTGrijKbEVUlUmZwFiBHPLMc9cmGL5c2W3q4BRJ3PnNUlcTMQ6KUht3odWDyPiGu7WCKzm9bTbKN5iM/Prvnu/nkTZLeXC7/TYd3bklAncqMItENIVSrpGEYcYxWOA0Se2/JtTjfrat+9vXJJvuksycupLd3wDg5umcydQ4to0vCPW7jvX4uVZykvMb/Piiz9wnI6uDqlNB2h+9o0tX/t4MXXlKp9DBk4MWPkxsKHZ4lNR4NxSHeki5sJaX0eriInabC2RL9rgds5AxiCVtEDESbx0krI6yxc3kzOYcMfN/K6O40RolZj1VFLyBFcB5uMmtuXEyYOnWXyH2QPsfDvx/PebdcwkagAwJgmzCLO5INRV1HIQuECYbQy1VJI3Ow1KY6gQ3C0l/2jz5JTTPhFSL8aaG5fz6zJMoEwywqk2ZSD0jJKps15wqNbX19+QSuz5wedTjg42YOw1ZfRU38Kq4xWfDRfD6ru99ZSbtjCAyCBrFeXVoCJCB2wxXg7CPX17LqlA8zvAnWHn0Rc6iRZtv3PfN1BKTwP6l7/6x7VEGc8VXacWOgheJZCW3BxVhYkonzNOvJpqisn2H6yUtK43CT3Dz/HsSGjRVpdHdoqqqfNel/q41YvCdqbjVkp1jsrQ56A9osIURS0BZfOsKU9rxSjSJqAugaY9ZFOc8R6qae9hwnIw46FMGErnXHgQTHJikwMieicNkejFTlJ20WSHgVqGG7C4STKvCdeEo9kOTT3coFkvObgij4gVaeIEkrJQMq8mmVutQaoa2Jmy4s3hbBUABPEVxDJo506OzgS3iikl4BzVcE7nM9XFpLK/Rq3htt0htZo0Kh59fNs3rzquGS1lrx3/f9l0s/KqRelK7qRIFHkxgK0iLHEnp8of8RMLGQ0GDg547Rl+TyZeO4jYTQCN6oZm1vh4T3V8GQr6koG7UEPcfrZ+5faMzbw2JeM8c1jZrZXP7Njx7YYOnRV58MVOpnX0IXYqPsUdXeZaUGa15omZmGIWUxYxoZsVRd8hUYaDyABEaWKMw8A4WgiHaGVxBtxgEe5k80duBfQBJSoyNdpCRyVPSGpQXUkscehaTGTKtCo+Tb6BSwMZwQwBS4kkgIVLBUxqyqU2REiWigy3oog4cQSe4Mghg/zYSTw3xVRhg+a7S6rDvElK/Df4kMTTbiIDrGAzPUaZMxFknODx9Y9jhF5DM2rrBugQQnQxcERs9Ggqny8uMymWDL4/0CSEc6chWmjJqoSICggSBCGaJi0SR5P0jVdPXVhIhUX1lzQX7jVAT6K6kwD6F8cG7ifKev/APxydWqr+u1JgqqeCeJ1rPBVH7ZLSZqNkaBH349de+sZkf38dZsPrNZCZfpOMi/37aRAcZ5XmDppNhzQsZ2kURDTfZpEomKAATVCrBaTJ9yGohUTYkmLt5JBxwoOIgJ3aQLnqIgTjL7AQwHQIacJhp9GSMA3I2SsBZaKsTBO4o5RlSMCgFPpeZtQVYzCebhq488Pn5k5KwtyRRGgbaZDYOgYBU5ozpNqdqMqg1uXeHS60M584MWCPVKCLU8hLJZQN7nlL8tLPH/q96nLVw+ms/5esLhJmi1WeBltnVCxTSmgrKc6hVBiJYPz3dn5rQdZTPFiuOg49TKqJHff9/tkE0PuO/12vjPTJ11/YU/40QFMPk5gFUx0567ku5LSmLdM6py4oW51/9O7/cEVk3nXG9XK6T+a2v7+fbHv0i/cwQm6VM1wIFO3NdTA4W5ho7p8SfXfetWD0J3odtUGemuQMSoEIBiaQxpriTBfB6FIMOoDWlujQ7Y+JRoBMHGdD/7tFxrwTHJ1WEgJqmXEZq4oXdNUWMxwsMmFk35G/z2Z8ukkaGsQiKmujy9WCiNIe0opwrqlO6yASX14CoDuOwEYjVXnX1t8/k0zWPx39P/dxTj98pefJ4nJX3HK++FLuSdJ+ShXXAZaSOmqJgKY4MZJzmIQiu9DXtwfNfYuZCJfyqOvW5uU3f3q/UeQWgkygydWoHP1S6ROne0FiXyRpnO0uUT8AaWIgAA1VAmSKAy8HStRq0hLQDvFwz7DsJ1dGSiaCbd8+Dv5os5K8XXHlMyyEYaAUR7VJT2WC8d2QpMNd40SRwcHnPYy+0ZNBkwTIADi+oLFHQooElBElUAprtHQ2Lk091ffUghwf6J3k+c2bLMPObbvra+cTQP/87YEeo6HCy/mz17jyrvFdG9+ehCfG3Y5IMdtyaMYC06SBphT6RCJZhbQs2AU11bfIBFy3AS7Q8Uuv/2QLAbM2UTmWeKE5MIE9mtUUA46pN7O0o4ZoBlom6oOikQYTGAZVYkQtJk6Q4jzUVijVx0VZeaxDNgIhSuHXX//HdEQqLcqCHNHMJRSJh+kUMVAqVqthM0DY1/cUmu1WRGigZWPd/fw2okwHGAjiUE0Jni45UI3LMuQsZhlmrKY4Emx1i3V80yLZ4YkOnR3dYkr8eF/fnso0oI//bBUVtCM8N/bu448/vZCHcImf4/o2S7IkLM+2tW9F5YrHHe0zwlORBNuymdQiDhwrXVSeKo+fgGCpweHXa9Qv7f/bB5lNViNl3vxnoG6cMCRIAGKBRj3XYM4BtuVaUkOEASKkNrFNaRQrFdkAYSx1zBwVa+pKVtLKtlH63yIX8gOgidRuzWaA8iwz0CS1SbJ6DEXZCFMqVpVarGLhpKMnH3wyWml6L7Rm9fbulSdODKSrABlNqC+kbjKKuagghUJWLUWLkalOBRHT/3r3H0wtMgby4ps/8dMOu/P8SfYWfucE0AMDA3bnRnWvJ9i7L9xAevRSAJak7nyYt+R7v3HcVRkaV2TKKEhrh6e0lLaVMMpQgVJMUV3RglRpR662iGt/KY9ecpuXD/z4VsJVFhPEMUZUG3RTY+aU0BL/l1QbV0rKXEVQ5oYVBb4tWU0rKWNT87h2q5ZG0La3p/XYWF7v3r0bPYt1aJtQdejncUu3AxVIK9A+5Sj1iIcBqbhLMIIS3apQHVQjqeJIE3F7zo82bdqDAawrIonnTw6CGbJtd4kYA8qicTIVjk+t6oxbJgoOyaasWqnmUYv7MlJIvFn80s5v1Y2mm9tvciB8W2+gDNTOe/7dTMz2TItfHv5ptwSVGk+5v7leJCBLRsA1NEz0wFuAB+8ct7XfyiyqLOoYVxrqsVh61LIsEwPTmMQERBDGIh3hoUkHaUJDxqzw+PFJuXfvlYkMyx0WWglKJWAjMAL5KHcJMEFQNuvWdZgg6DZDQ0OwYcOoGR/vMcPDw6a/vx/b1QVXYiF46b9boiltW5q4FmGeZjpFgXqgtWOQCTq5mUqiWUS5rDHDasBpWA0MhkeKIDgnHnvs+2KlpfD8OZqN1Ui8gv92c84Y3UIoZEEJT2Kuu+EFQ8TY6F3WFLwBdj6qOgBpierDIvNNXnvtrzPSs+/JmNpQb+/eJKHg0gn65MkXnY8nC5spNSO/eOH985+2+W654Jl/H07kE090sjjO8WLxnOV1+jQKFHV4k402ZMOlY5R2KOGWBGFpzaiVZMcgJ0ISu5TYfy1DhDYCmXaF7REBVUdWuVHNJJRV39KlqqszxYyurKuY7mDSlMsbDMCBZDi7d/ckwNy/f5gA7Ep+h/QOY2MHqef5pOLHVIecpVyfkmLAAWJOUjanRFtKUpsSYyklbeTwS2omJhwgBDkT0EevNCeCRiY2DoT4E7GsCLUUZmsFxbQEqEqA03Ihr99KzffcfhKpnGq7S2KmtGFnobbuwlh2jLZAweGa2tWi9IFazZSYtBCJm+l037ZvLqnAJ+5CzL9tswBV+t3eP0D3+Eyk4pwR7Bv8WRuQ6HYr0Cc+CYfG9ZjEpfaZEKh3T9Jy2WYANS4lZ7ytPbErpyRlNbA4IzWLUsfCuAIMCpbEWAgmwyQmHFKtDCU2xQTERDAgd8fcejuztYzQCow/IwAVmW47244l6gdGW+BfsU4tUp8iTy7VBMstYgEjwmQESuKiUg4IG3BBxVIp14ROVVOrSaEerbrbpDfiqauJp1nqfF1Fu9lwcjRZ0i9/vbuNcbdNa9XMNLCYkSmq4tHtv3YnhnD+vZyjKoFjhSql027Q1/vvF6UvwG+3am21WwFpCgtTv5p77rvMxokNO7uDLiFUZ9USx786I8av4mU+K03JwMAAzefzpL19nJ44McKy2TYapgW1uEOiAP8PCGc24bWQwIxDJeP7EEclygJO0BgVBZyk0kjchQ5EAMeVBqoAypMGs1w85RilxDTXRso1UC6DTLlGqtg4XpsWMjZeUNIVn+tM2dbTAWDDevdudCbWN719mh8A8XPrRridWDqtiH36gYsBQwjqRx7pcVRGuMSmHolIi4plNlnYhhStSJzesePb5eQstD9PFrOyGdNPDx5Zv8YY0wlBhIL3ssTZK4z2uE3EJLVORlFLNm2fuHuBsM5Pc/Ju8GeT/n5U5/rrDnNGP55Wc2/uK9FjKfXl9otpegjeJ5/saS4zuZrGplkqLRk1o7WCGkVz6syu6MQec6Oym2KgWhTVY31bn2qYBTN3ehDMb/7zurVRTDttJX69fft3CvOnr25OYZIrWDzXBYTnWRyf3L79O0iieLNP/s0NnRtw9AnA3t241iP61liRMUfKDzdvPhUMDXW6AH4qgjhLgbYJDS4xosiUOfPKKyNFPJ/NgnssG6nH1y9uKsb2+dXV9cyiTbGG97/0wLcQzFdgsi6gce7QZplOZ9q1Q7o4p2d33P/ByI24zd2A3/kzOSQE7+Hhde2ylC6hNJ55STI4+KwnrXSLRciqmGifgC5AlX24bds3p5JDIeRSNYhSIHXeUNEcBXL0kV1/fPJqJmlw8NlUbNyNaFPUFf1BX99TDTOcGgIaH5jkGLLjOWJ7aw3Ygmvv5JyXuZoxfd72Jp8BlJC3b4o3Cqk7wJiR2uTaU7P6LoL99dfXpF3XzsRcd+hQNmtDSkSGH+zc+SdF099Php7odIvK9dC23tf31JKSAFCF2fnIqk6X2WsjCgU7grPzdeYlqRxzG2GnX/nK7RlBahiAnwMpRnfsGP1cWt/kAF1o+EeGf7o+iGVt+z3fmpuAStDDFwRBC7WhK5TKNoH+8NVXR87MmngRK1//erc3HkQZG2CVUaSZg3j3oYe+e4kPD9sswSRM9u17Js1T7m0QS9fzUh+Vy3JyKWENC0rouS+N6S4AtWbHcToVNVRyffrAC6OFJQzuM/zpb95XO3r0x+lq1dX1dtx//vXfdokI7tBSFlv8zuPr56RgoaRev77qS2laIq260NRoYnj/4Yf3zmU0Is8PPutlypBynFz1anZ1dEIVCsVbKGWtkYkKRHjnx8fT5aWGLywZ0MmR3PTTt95qyShFcwLsdixpRwj96GY9NOIiPXDgdPwZXpTk6NEfp+pZqo4f/9mqUEabSco50rvxctvvtO4LWUX5LQRYFqT+zdatf3hm7vJNrGEx87WO85ryDiPE2K5d33unzhK/ZJdeaPljf0Gg1hDLaucAtThmo0qR8lKk8tx+rwrQszfiw8vlWppzp4VSjoxFInbMyM0ksX957C9zpkh6KhUx2Cgga9++ZzK+z6N6fH43imzGA1O5vCGuZ7+dVgHWbQ2NKDxwzx9dFhuBnuGKOL9Wx6bbSPFeb+/e9+e/04kTz2QqFTtvjL5FSlOedMnwfN8EGg9aW2lmItL08Yefvmoq3WTnd2qrLUraiOJhbFnnoFqrHDjwvdpyYvOXBejZF8eX8Tzfo1TmGFOthmtjgXWec33+RgYBjru5zd6hYz1y9mzbe/W2M1y0UWQeJKTlcKMtEwGfShnngQf+NMk4rncdPPgX3oMPTkX1LEQzkhAj0BoSGx49+pPVQlQLjdoMDv6v25hrWu6986nD9Z5/9OiP24UR9xClz9x//3+8TIImUpbrdh6TLypFJs+cyR2dPxfoYk6lbs1qHa6TUqakTA3Wk5qoiixVLcCQi1dffbbJ902XUpDVOq45jn8+jnX17Fn/UuWG5QiNawL07ANR7xkb+zjleZkMIapVKeMA0Kkoqp3r6/tPC5HILGfM13zPoSM/2hJXJaO07WgjsB4+/D+7pYzWnjnT+stGH+rNf/rLzQBUbnv4j4cbDeqNwz98KKy4Q/VAcOzYT3Ohqt6x9d4/Otjo/rd/9dd3Y93y++77dpLVPP9CXVgauUMLOLllyx9ekfKfSOkvr2qLbbZZCHN++/a9l1Hdohp56FBbTil7ozGaG1M6smPHf76CthafEwRRhnONi2tZVQ+QzTY/dq7dskgHcIaZwCUhvAtKBcH4eH5FwnxXBNCzk4xxyptC7hISe8aYHCGmSTOibaIKxWI49uijf/app0699daPNhCi11BKBnt799Yl1EGp5PudvyNlNLxt29MNg2XeeuuHj0YRPTbvQHQZ5oaGfvSEMeYX9SQsSm/P8h9RRL/YCCQI+khWdzb74cvrGzggDh36mw7Dwt64Zl7fufNPkkpi8y60F7cqpTdLqQvbt48fm79jvPnmD5qUYt1EUrJ913eP1Fs8MxaKhlGA9e4xAwPsYNdEKyFylTEkQylEAKwgpSkx1ha+8sqeaDmqRSMBsKKAnn3ItP++yfGinBM4YdpEcY44dgp1bUJgEonT+/q+94mnTg0OPpt1GN0aiPj4iy+OjzU6DB458sNbdAzdUzX3YKNDCZJaWrTwyAcfnXtpz57+hjX3hg791VcvTJZ/8eijf1aPGYocfvtHX6loc7ivd2/doBycy68+1v6QMHRi27b6OwFK2Tfe6NxAjVz70cfj+xuN5+DBv2ghytpMNZx+YNf3r6Ckff75Z1OdLli9X96Lu+qyr8Fnn7WiO3XOMiqvgfoK6zlpU6KUFRkT4UcfFcKF5mzZD54bPnotnSx0L0728HAPL5VGWK1GmzzPyTOtm/EeRWVRKXI+9Y5T7F3B+ONG4zl58gdOqeS4L7wwejEZuFFeXT/P5b7wu1ZsHX3uxdMNQT809MztWtPVW7Z8d/9C73/o0DNfnZysNQI0HHr9mS2U6LB3+/cbst7jQlSx6mvJy5caSWmUhIe7xu+LY8V29D39ZqMx4a4wYafJCgeeTduNedxOCGvnwDxCWBjK6ILWehygOfyNH6u9vXsx6PC6hlBcFwndaDLx4LBpE7CxsSpNpappIWQbB5pThNpEaWRjKCg+NTE6ehuyly45/+4qFuPs+zacVBzjHXeU2t65M3thoYTQt9/+q16t48ne3qevsA7MHc/hN//H1+xS8PO760toOHTomTU6Nl/ctuNPX230HkkY5u7sA4bz0zt2fP9so3Z4lpmYOJd9eHFrw5JMaQvNKy4Mra0cIbKdamjGgFhFoEIIGWclPRl4bDvSowAABHZJREFUfuz7scKUq+sN4rnj/EQBPffBKLmHhjoZxiO3Q42XQTUD0y0GmG/AYLhwoAgtShkW2tvXTi2WLHkVoF606VJO7GguQxVqsQPS4OB/WwtD3mijHQh3jcmzrH3rru9dZuedP8hpi9Jdainhldcj5ua1f/gvvmlxckzTVkJVFhmewMgAtF0wcVggPivn81yPjBRUX1//ZfV0Fp3wFWzwqQF6/qEF449npbeU5x2fp3xlm2YioYlQbROJbFmqKkAXKU0XPY9VFgPTCs7TsrtCVYAsvNsksdfXaUdazrjJyy//11Srx5tqwHKOVllFdYoltcF0jVlsUoVQ5M1euVy2NUrh++8fvciUfWPEZ98ogJ4/8clHngV4HF9gGYC0k3F8I6FJ6TiNZRqwciZwCJTQFZuxkqywKm93gpsB6MtB2krfg06NlKqmwQqapOZZxlWGGuIkBDXEREKQMidxyUTOFDRBEEVTxvc71alTP9d79jx3PVTCa37FGxXQV7zYrIoyNhYleXgAp7nvZ1xRZhkjI59yK60NcQhWUTXCaMUiznSNEV5RFqlCgQb+uo7wk1RdrvnrXGMHScyxN+zErU0uFyatQGa0YVjY0rMsYimVsDJJzlhNga5QQ8oR9SpekUXljK2nM8yH9YEDsGSK5Gsc8jXfftMAut6bIsj37wfa3t5Dx8aGqeM0ET0uuNvEHJAyFXOesplOCQkeWMTSMVDGkITfKCGMIBYNCdCQhjKMTBw2p3PhhBwTq4MWcaTSIW8gNeDS6/826bfKsQo8dVJ22QjXAeWCIB6zmau1dLDET1JsHBErAcsdxribMQFVlSJVpdxarVaNfZ/p30renB4e3nMx4/yT5xC8ZiTPdHBTA7rRJMwC3fc7yaxEd5xJki4rqm1uFWvCtV3qcJs4IIRHKLeV1vYsCJArmRnbSJCQ1AkkRimszQlEEvxnEUmwiA7higqtmKeUlKAZxW6kkQK069pGK9wp7EsWFcpiQhkyvqYgFgbZBajgLuXcUMxWsgxlERjOOWNGIJ0uHo4NZwwrx2IeLWXIWwdKI4W5wWrhybiMEagiMGoiiQsUWMiJFeqoFkOYE3Fr1SBog6DFtLc7+tQpBG5ClVCX12OlwPVp9POZBPRCE9nfD7Sn50mSz28iCHjPGyX26RYy4vkEQW9PTBG001KqeFrZjPLA0sRwF1weUmEh6GJCLW4UwxxtbRSjlFOUhsi1jNRdWHNWEk14YsqazvKevTDLO/nZ6KSeMVLhYggmIUxRonFBaGJsSalSMS4eQ6SjtQiRQloq0ewTWSuHird/QcLoKMStTSaKcgY5PiqVgunu7jQI2CefHL5IC9CY2+PTANsn8cx/cYC+ikm9mOjaT/78zwGee66H5PPIqYF8Gp3k1KlRsmkTwOnTLWQ9AIx4hZl5XAfO+OT0z6sXedKMQx153gFOT98StBjMTVq3rmBOnABAcJbL0+Qz+Pd/qSC9im/2W6KZq7np87afz8CNOgOfS+gb9ct8Pq5lzcD/B6kPVvCV/7fcAAAAAElFTkSuQmCC",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/umi.607bf0fc.js b/umi.f81c162c.js
similarity index 99%
rename from umi.607bf0fc.js
rename to umi.f81c162c.js
index 9ae24d684b..60c4234c43 100644
--- a/umi.607bf0fc.js
+++ b/umi.f81c162c.js
@@ -1466,6 +1466,6 @@ In order to be iterable, non-array objects must have a [Symbol.iterator]() metho
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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 qo(1,r,a),this.cea608Parser2=new qo(3,_,E)}}addCues(r,a,_,E,D){let N=!1;for(let W=D.length;W--;){const oe=D[W],he=Vu(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||D.push([a,_]),this.config.renderTextTracksNatively){const W=this.captionsTracks[r];this.Cues.newCue(W,a,_,E)}else{const W=this.Cues.newCue(null,a,_,E);this.hls.trigger(l.CUES_PARSED,{type:"captions",cues:W,track:r})}}onInitPtsFound(r,{frag:a,id:_,initPTS:E,timescale:D}){const{unparsedVttFrags:N}=this;_==="main"&&(this.initPTS[a.cc]={baseTime:E,timescale:D}),N.length&&(this.unparsedVttFrags=[],N.forEach(W=>{this.onFragLoaded(l.FRAG_LOADED,W)}))}getExistingTrack(r,a){const{media:_}=this;if(_)for(let E=0;E<_.textTracks.length;E++){const D=_.textTracks[E];if(yc(D,{name:r,lang:a,attrs:{}}))return D}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:D,languageCode:N}=a[r],W=this.getExistingTrack(D,N);if(W)_[r]=W,yn(_[r]),Sr(_[r],E);else{const oe=this.createTextTrack("captions",D,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=ku(),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(D=>D.textCodec===ou);if(this.config.enableWebVTT||E&&this.config.enableIMSC1){if(ea(this.tracks,_)){this.tracks=_;return}if(this.textTracks=[],this.tracks=_,this.config.renderTextTracksNatively){const N=this.media,W=N?on(N.textTracks):null;if(this.tracks.forEach((oe,he)=>{let be;if(W){let Se=null;for(let De=0;De<W.length;De++)if(W[De]&&yc(W[De],oe)){Se=W[De],W[De]=null;break}Se&&(be=Se)}if(be)yn(be);else{const Se=gc(oe);be=this.createTextTrack(Se,oe.name,oe.lang),be&&(be.mode="disabled")}be&&this.textTracks.push(be)}),W!=null&&W.length){const oe=W.filter(he=>he!==null).map(he=>he.label);oe.length&&R.warn(`Media element contains unused subtitle tracks: ${oe.join(", ")}. Replace media element for each source to clear TextTracks and captions menu.`)}}else if(this.tracks.length){const N=this.tracks.map(W=>({label:W.name,kind:W.type.toLowerCase(),default:W.default,subtitleTrack:W}));this.hls.trigger(l.NON_NATIVE_TEXT_TRACKS_FOUND,{tracks:N})}}}onManifestLoaded(r,a){this.config.enableCEA708Captions&&a.captions&&a.captions.forEach(_=>{const E=/(?:CC|SERVICE)([1-4])/.exec(_.instreamId);if(!E)return;const D=`textTrack${E[1]}`,N=this.captionsProperties[D];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:D,cea608Parser2:N,lastSn:W}=this,{cc:oe,sn:he}=a.frag,be=(_=(E=a.part)==null?void 0:E.index)!=null?_:-1;D&&N&&(he!==W+1||he===W&&be!==this.lastPartIndex+1||oe!==this.lastCc)&&(D.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 D=_.decryptdata,N="stats"in a;if(D==null||!D.encrypted||N){const W=this.tracks[_.level],oe=this.vttCCs;oe[_.cc]||(oe[_.cc]={start:_.start,prevCC:this.prevCC,new:!0},this.prevCC=_.cc),W&&W.textCodec===ou?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;Ko(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:D,unparsedVttFrags:N}=this,W=D.length-1;if(!D[_.cc]&&W===-1){N.push(r);return}const oe=this.hls,he=(a=_.initSegment)!=null&&a.data?hr(_.initSegment.data,new Uint8Array(E)):E;yl(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&&W>_.cc)&&oe.trigger(l.SUBTITLE_FRAG_PROCESSED,{success:!1,frag:_,error:be})})}_fallbackToIMSC1(r,a){const _=this.tracks[r.level];_.textCodec||Ko(a,this.initPTS[r.cc],()=>{_.textCodec=ou,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(D=>Ur(E,D))}else{const E=this.tracks[a];if(!E)return;const D=E.default?"default":"subtitles"+a;_.trigger(l.CUES_PARSED,{type:"subtitles",cues:r,track:D})}}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:D,samples:N}=a;if(!(D.type===Ye.MAIN&&this.closedCaptionsForLevel(D)==="NONE"))for(let W=0;W<N.length;W++){const oe=N[W].bytes;if(oe){const he=this.extractCea608Data(oe);_.addData(N[W].pts,he[0]),E.addData(N[W].pts,he[1])}}}onBufferFlushing(r,{startOffset:a,endOffset:_,endOffsetSubtitles:E,type:D}){const{media:N}=this;if(!(!N||N.currentTime<_)){if(!D||D==="video"){const{captionsTracks:W}=this;Object.keys(W).forEach(oe=>Ir(W[oe],a,_))}if(this.config.renderTextTracksNatively&&a===0&&E!==void 0){const{textTracks:W}=this;Object.keys(W).forEach(oe=>Ir(W[oe],a,E))}}}extractCea608Data(r){const a=[[],[]],_=r[0]&31;let E=2;for(let D=0;D<_;D++){const N=r[E++],W=127&r[E++],oe=127&r[E++];if(W===0&&oe===0)continue;if((4&N)!==0){const be=3&N;(be===0||be===1)&&(a[be].push(W),a[be].push(oe))}}return a}}function gc(j){return j.characteristics&&/transcribes-spoken-dialog/gi.test(j.characteristics)&&/describes-music-and-sound/gi.test(j.characteristics)?"captions":"subtitles"}function yc(j,r){return!!j&&j.kind===gc(r)&&as(r,j)}function Vu(j,r,a,_){return Math.min(r,_)-Math.max(j,a)}function ku(){return{ccOffset:0,presentationOffset:0,0:{start:0,prevCC:-1,new:!0}}}class bc{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,D)=>this.isLevelAllowed(E)&&D<=r);return this.clientRect=null,bc.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=(W,oe)=>oe?W.width!==oe.width||W.height!==oe.height:!0;let D=r.length-1;const N=Math.max(a,_);for(let W=0;W<r.length;W+=1){const oe=r[W];if((oe.width>=N||oe.height>=N)&&E(oe,r[W+1])){D=W;break}}return D}}class ic{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 D=E-this.lastTime,N=_-this.lastDroppedFrames,W=a-this.lastDecodedFrames,oe=1e3*N/D,he=this.hls;if(he.trigger(l.FPS_DROP,{currentDropped:N,currentDecoded:W,totalDroppedFrames:_}),oe>0&&N>he.config.fpsDroppedMonitoringThreshold*W){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 Vo="[eme]";class el{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=el.CDMCleanupPromise?[el.CDMCleanupPromise]:[],this.debug=R.debug.bind(R,Vo),this.log=R.log.bind(R,Vo),this.warn=R.warn.bind(R,Vo),this.error=R.error.bind(R,Vo),this.onMediaEncrypted=a=>{const{initDataType:_,initData:E}=a,D=`"${a.type}" event: init data type: "${_}"`;if(this.debug(D),E!==null){if(!this.keyFormatPromise){let N=Object.keys(this.keySystemAccessPromises);N.length||(N=Jt(this.config));const W=N.map(tr).filter(oe=>!!oe);this.keyFormatPromise=this.getKeyFormatPromise(W)}this.keyFormatPromise.then(N=>{const W=Ft(N);let oe,he;if(_==="sinf"){if(W!==Le.FAIRPLAY){this.warn(`Ignoring unexpected "${a.type}" event with init data type: "${_}" for selected key-system ${W}`);return}const Xe=ze(new Uint8Array(E));try{const lt=M(JSON.parse(Xe).sinf),vt=Dr(lt);if(!vt)throw new Error("'schm' box missing or not cbcs/cenc with schi > tenc");oe=vt.subarray(8,24),he=Le.FAIRPLAY}catch(lt){this.warn(`${D} Failed to parse sinf: ${lt}`);return}}else{if(W!==Le.WIDEVINE&&W!==Le.PLAYREADY){this.warn(`Ignoring unexpected "${a.type}" event with init data type: "${_}" for selected key-system ${W}`);return}const Xe=Cr(E),lt=Xe.filter(Qt=>!!Qt.systemId&&At(Qt.systemId)===W);lt.length>1&&this.warn(`${D} Using first of ${lt.length} pssh found for selected key-system ${W}`);const vt=lt[0];if(!vt){Xe.length===0||Xe.some(Qt=>!Qt.systemId)?this.warn(`${D} contains incomplete or invalid pssh data`):this.log(`ignoring ${D} 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===Le.WIDEVINE){const Qt=vt.data.length-22;oe=vt.data.subarray(Qt,Qt+16)}else he===Le.PLAYREADY&&(oe=zt(vt.data))}if(!he||!oe){this.log(`Unable to handle ${D} with key-system ${W}`);return}const be=Nt.hexDump(oe),{keyIdToKeySessionPromise:Se,mediaKeySessions:De}=this;let Ge=Se[be];for(let Xe=0;Xe<De.length;Xe++){const lt=De[Xe],vt=lt.decryptdata;if(!vt.keyId)continue;const Qt=Nt.hexDump(vt.keyId);if(be===Qt||vt.uri.replace(/-/g,"").indexOf(be)!==-1){if(Ge=Se[Qt],vt.pssh)break;delete Se[Qt],vt.pssh=new Uint8Array(E),vt.keyId=oe,Ge=Se[be]=Ge.then(()=>this.generateRequestWithPreferredKeySession(lt,_,E,"encrypted-event-key-match")),Ge.catch(yr=>this.handleError(yr));break}}if(!Ge){if(he!==W){this.log(`Ignoring "${D}" with ${he} init data for selected key-system ${W}`);return}Ge=Se[be]=this.getKeySystemSelectionPromise([he]).then(({keySystem:Xe,mediaKeys:lt})=>{var vt;this.throwIfDestroyed();const Qt=new Fr("ISO-23001-7",be,(vt=tr(Xe))!=null?vt:"");return Qt.pssh=new Uint8Array(E),Qt.keyId=oe,this.attemptSetMediaKeys(Xe,lt).then(()=>{this.throwIfDestroyed();const yr=this.createMediaKeySessionContext({decryptdata:Qt,keySystem:Xe,mediaKeys:lt});return this.generateRequestWithPreferredKeySession(yr,_,E,"encrypted-event-no-match")})}),Ge.catch(Xe=>this.handleError(Xe))}})}},this.onWaitingForKey=a=>{this.log(`"${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===Le.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,W,oe)=>!!N&&oe.indexOf(N)===W,E=a.map(N=>N.audioCodec).filter(_),D=a.map(N=>N.videoCodec).filter(_);return E.length+D.length===0&&D.push("avc1.42e01e"),new Promise((N,W)=>{const oe=he=>{const be=he.shift();this.getMediaKeysPromise(be,E,D).then(Se=>N({keySystem:be,mediaKeys:Se})).catch(Se=>{he.length?oe(he):Se instanceof eu?W(Se):W(new eu({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 ${location.protocol}`),Promise.reject(new Error(E))}return _(r,a)}getMediaKeysPromise(r,a,_){const E=Qe(r,a,_,this.config.drmSystemOptions),D=this.keySystemAccessPromises[r];let N=D==null?void 0:D.keySystemAccess;if(!N){this.log(`Requesting encrypted media "${r}" key-system access with config: ${JSON.stringify(E)}`),N=this.requestMediaKeySystemAccess(r,E);const W=this.keySystemAccessPromises[r]={keySystemAccess:N};return N.catch(oe=>{this.log(`Failed to obtain access to key-system "${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 "${r}"`),W.mediaKeys=oe.createMediaKeys().then(be=>(this.log(`Media-keys created for "${r}"`),he.then(Se=>Se?this.setMediaKeysServerCertificate(be,r,Se):be))),W.mediaKeys.catch(be=>{this.error(`Failed to create media-keys for "${r}"}: ${be}`)}),W.mediaKeys})}return N.then(()=>D.mediaKeys)}createMediaKeySessionContext({decryptdata:r,keySystem:a,mediaKeys:_}){this.log(`Creating key-system session "${a}" keyId: ${Nt.hexDump(r.keyId||[])}`);const E=_.createSession(),D={decryptdata:r,keySystem:a,mediaKeys:_,mediaKeysSession:E,keyStatus:"status-pending"};return this.mediaKeySessions.push(D),D}renewKeySession(r){const a=r.decryptdata;if(a.pssh){const _=this.createMediaKeySessionContext(r),E=this.getKeyIdString(a),D="cenc";this.keyIdToKeySessionPromise[E]=this.generateRequestWithPreferredKeySession(_,D,a.pssh,"expired")}else this.warn("Could not renew expired session. Missing pssh initData.");this.removeSession(r)}getKeyIdString(r){if(!r)throw new Error("Could not read keyId of undefined decryptdata");if(r.keyId===null)throw new Error("keyId is null");return Nt.hexDump(r.keyId)}updateKeySession(r,a){var _;const E=r.mediaKeysSession;return this.log(`Updating key-session "${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 ${a.join(", ")}`),this.keyFormatPromise=this.getKeyFormatPromise(a)),this.keyFormatPromise}getKeyFormatPromise(r){return new Promise((a,_)=>{const E=Jt(this.config),D=r.map(Ft).filter(N=>!!N&&E.indexOf(N)!==-1);return this.getKeySystemSelectionPromise(D).then(({keySystem:N})=>{const W=tr(N);W?a(W):_(new Error(`Unable to find format for key-system "${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 D=this.keyIdToKeySessionPromise[_];return D||(D=this.keyIdToKeySessionPromise[_]=this.getKeySystemForKeyPromise(a).then(({keySystem:N,mediaKeys:W})=>(this.throwIfDestroyed(),this.log(`Handle encrypted media sn: ${r.frag.sn} ${r.frag.type}: ${r.frag.level} using key ${E}`),this.attemptSetMediaKeys(N,W).then(()=>{this.throwIfDestroyed();const oe=this.createMediaKeySessionContext({keySystem:N,mediaKeys:W,decryptdata:a});return this.generateRequestWithPreferredKeySession(oe,"cenc",a.pssh,"playlist-key")}))),D.catch(N=>this.handleError(N))),D}throwIfDestroyed(r="Invalid state"){if(!this.hls)throw new Error("invalid state")}handleError(r){this.hls&&(this.error(r.message),r instanceof eu?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),D=E?[E]:Jt(this.config);return this.attemptKeySystemAccess(D)}return _}getKeySystemSelectionPromise(r){if(r.length||(r=Jt(this.config)),r.length===0)throw new eu({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 "${r}"`),_.push(E),this.setMediaKeysQueue=this.setMediaKeysQueue.filter(D=>_.indexOf(D)===-1)})}generateRequestWithPreferredKeySession(r,a,_,E){var D,N;const W=(D=this.config.drmSystems)==null||(N=D[r.keySystem])==null?void 0:N.generateRequest;if(W)try{const Xe=W.call(this.hls,a,_,r);if(!Xe)throw new Error("Invalid response from configured generateRequest filter");a=Xe.initDataType,_=r.decryptdata.pssh=Xe.initData?new Uint8Array(Xe.initData):null}catch(Xe){var oe;if(this.warn(Xe.message),(oe=this.hls)!=null&&oe.config.debug)throw Xe}if(_===null)return this.log(`Skipping key-session request for "${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: ${_?_.byteLength:null})`);const be=new Fn,Se=r._onmessage=Xe=>{const lt=r.mediaKeysSession;if(!lt){be.emit("error",new Error("invalid state"));return}const{messageType:vt,message:Qt}=Xe;this.log(`"${vt}" message event for session "${lt.sessionId}" message size: ${Qt.byteLength}`),vt==="license-request"||vt==="license-renewal"?this.renewLicense(r,Qt).catch(yr=>{this.handleError(yr),be.emit("error",yr)}):vt==="license-release"?r.keySystem===Le.FAIRPLAY&&(this.updateKeySession(r,xe("acknowledged")),this.removeSession(r)):this.warn(`unhandled media key message type "${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 ${he}`),this.renewKeySession(r))};r.mediaKeysSession.addEventListener("message",Se),r.mediaKeysSession.addEventListener("keystatuseschange",De);const Ge=new Promise((Xe,lt)=>{be.on("error",lt),be.on("keyStatus",vt=>{vt.startsWith("usable")?Xe():vt==="output-restricted"?lt(new eu({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_STATUS_OUTPUT_RESTRICTED,fatal:!1},"HDCP level output restricted")):vt==="internal-error"?lt(new eu({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_STATUS_INTERNAL_ERROR,fatal:!0},`key status changed to "${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 eu({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_NO_SESSION,error:Xe,fatal:!1},`Error generating key-session request: ${Xe}`)}).then(()=>Ge).catch(Xe=>{throw be.removeAllListeners(),this.removeSession(r),Xe}).then(()=>(be.removeAllListeners(),r))}onKeyStatusChange(r){r.mediaKeysSession.keyStatuses.forEach((a,_)=>{this.log(`key status change "${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: ${r.decryptdata.uri}`),r.keyStatus=a})}fetchServerCertificate(r){const a=this.config,_=a.loader,E=new _(a),D=this.getServerCertificateUrl(r);return D?(this.log(`Fetching server certificate for "${r}"`),new Promise((N,W)=>{const oe={responseType:"arraybuffer",url:D},he=a.certLoadPolicy.default,be={loadPolicy:he,timeout:he.maxLoadTimeMs,maxRetry:0,retryDelay:0,maxRetryDelay:0},Se={onSuccess:(De,Ge,Xe,lt)=>{N(De.data)},onError:(De,Ge,Xe,lt)=>{W(new eu({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)},`"${r}" certificate request failed (${D}). Status: ${De.code} (${De.text})`))},onTimeout:(De,Ge,Xe)=>{W(new eu({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_SERVER_CERTIFICATE_REQUEST_FAILED,fatal:!0,networkDetails:Xe,response:{url:oe.url,data:void 0}},`"${r}" certificate request timed out (${D})`))},onAbort:(De,Ge,Xe)=>{W(new Error("aborted"))}};E.load(oe,be,Se)})):Promise.resolve()}setMediaKeysServerCertificate(r,a,_){return new Promise((E,D)=>{r.setServerCertificate(_).then(N=>{this.log(`setServerCertificate ${N?"success":"not supported by CDM"} (${_==null?void 0:_.byteLength}) on "${a}"`),E(r)}).catch(N=>{D(new eu({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 eu({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"),D=E.querySelectorAll("HttpHeader");if(D.length>0){let be;for(let Se=0,De=D.length;Se<De;Se++){var N,W;be=D[Se];const Ge=(N=be.querySelector("name"))==null?void 0:N.textContent,Xe=(W=be.querySelector("value"))==null?void 0:W.textContent;Ge&&Xe&&r.setRequestHeader(Ge,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 D=this.config.licenseXhrSetup;return D?Promise.resolve().then(()=>{if(!_.decryptdata)throw new Error("Key removed");return D.call(this.hls,r,a,_,E)}).catch(N=>{if(!_.decryptdata)throw N;return r.open("POST",a,!0),D.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,D)=>{const N=this.getLicenseServerUrlOrThrow(r.keySystem);this.log(`Sending license request to URL: ${N}`);const W=new XMLHttpRequest;W.responseType="arraybuffer",W.onreadystatechange=()=>{if(!this.hls||!r.mediaKeysSession)return D(new Error("invalid state"));if(W.readyState===4)if(W.status===200){this._requestLicenseFailureCount=0;let oe=W.response;this.log(`License received ${oe instanceof ArrayBuffer?oe.byteLength:oe}`);const he=this.config.licenseResponseCallback;if(he)try{oe=he.call(this.hls,W,N,r)}catch(be){this.error(be)}E(oe)}else{const oe=_.errorRetry,he=oe?oe.maxNumRetry:0;if(this._requestLicenseFailureCount++,this._requestLicenseFailureCount>he||W.status>=400&&W.status<500)D(new eu({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_LICENSE_REQUEST_FAILED,fatal:!0,networkDetails:W,response:{url:N,data:void 0,code:W.status,text:W.statusText}},`License Request XHR failed (${N}). Status: ${W.status} (${W.statusText})`));else{const be=he-this._requestLicenseFailureCount+1;this.warn(`Retrying license request, ${be} attempts left`),this.requestLicense(r,a).then(E,D)}}},r.licenseXhr&&r.licenseXhr.readyState!==XMLHttpRequest.DONE&&r.licenseXhr.abort(),r.licenseXhr=W,this.setupLicenseXHR(W,N,r,a).then(({xhr:oe,licenseChallenge:he})=>{r.keySystem==Le.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={},Fr.clearKeyUriToKeyIdMap();const _=a.length;el.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,D)=>(E.indexOf(D.keyFormat)===-1&&E.push(D.keyFormat),E),[]);this.log(`Selecting key-system from session-keys ${_.join(", 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i(j,cc(r,a))}const Xl="CMCD";function tu(j,r={}){if(!j)return"";const a=Ll(j,r);return`${Xl}=${encodeURIComponent(a)}`}const pl=/CMCD=[^&#]+/;function Cc(j,r,a){const _=tu(r,a);if(!_)return j;if(pl.test(j))return j.replace(pl,_);const E=j.includes("?")?"&":"?";return`${j}${E}${_}`}class fc{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:Eo.MANIFEST,su:!this.initialized})}catch(D){R.warn("Could not generate manifest CMCD data.",D)}},this.applyFragmentData=E=>{try{const D=E.frag,N=this.hls.levels[D.level],W=this.getObjectType(D),oe={d:D.duration*1e3,ot:W};(W===Eo.VIDEO||W===Eo.AUDIO||W==Eo.MUXED)&&(oe.br=N.bitrate/1e3,oe.tb=this.getTopBandwidth(W)/1e3,oe.bl=this.getBufferLength(W)),this.apply(E,oe)}catch(D){R.warn("Could not generate segment CMCD data.",D)}},this.hls=r;const a=this.config=r.config,{cmcd:_}=a;_!=null&&(a.pLoader=this.createPlaylistLoader(),a.fLoader=this.createFragmentLoader(),this.sid=_.sessionId||Sc(),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:Dl.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===Eo.INIT||a.ot===Eo.VIDEO||a.ot===Eo.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((D,N)=>(E.includes(N)&&(D[N]=a[N]),D),{})),this.useHeaders?(r.headers||(r.headers={}),Oc(r.headers,a)):r.url=Cc(r.url,a)}getObjectType(r){const{type:a}=r;if(a==="subtitle")return Eo.TIMED_TEXT;if(r.sn==="initSegment")return Eo.INIT;if(a==="audio")return Eo.AUDIO;if(a==="main")return this.hls.audioTracks.length?Eo.VIDEO:Eo.MUXED}getTopBandwidth(r){let a=0,_;const E=this.hls;if(r===Eo.AUDIO)_=E.audioTracks;else{const D=E.maxAutoLevel,N=D>-1?D+1:E.levels.length;_=E.levels.slice(0,N)}for(const D of _)D.bitrate>a&&(a=D.bitrate);return a>0?a:NaN}getBufferLength(r){const 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0:_.action)===Gn.SendAlternateToPenaltyBox&&_.flags===ga.MoveAllAlternatesMatchingHost){const E=this.levels;let D=this.pathwayPriority,N=this.pathwayId;if(a.context){const{groupId:W,pathwayId:oe,type:he}=a.context;W&&E?N=this.getPathwayForGroupId(W,he,N):oe&&(N=oe)}N in this.penalizedPathways||(this.penalizedPathways[N]=performance.now()),!D&&E&&(D=E.reduce((W,oe)=>(W.indexOf(oe.pathwayId)===-1&&W.push(oe.pathwayId),W),[])),D&&D.length>1&&(this.updatePathwayPriority(D),_.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(D)} 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 ${this.pathwayId}. 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${he.bitrate}`),this.hls.nextLoadLevel=W);break}}}getPathwayForGroupId(r,a,_){const E=this.getLevelsForPathway(_).concat(this.levels||[]);for(let D=0;D<E.length;D++)if(a===ye.AUDIO_TRACK&&E[D].hasAudioGroup(r)||a===ye.SUBTITLE_TRACK&&E[D].hasSubtitleGroup(r))return E[D].pathwayId;return _}clonePathways(r){const a=this.levels;if(!a)return;const _={},E={};r.forEach(D=>{const{ID:N,"BASE-ID":W,"URI-REPLACEMENT":oe}=D;if(a.some(be=>be.pathwayId===N))return;const he=this.getLevelsForPathway(W).map(be=>{const Se=new Z(be.attrs);Se["PATHWAY-ID"]=N;const De=Se.AUDIO&&`${Se.AUDIO}_clone_${N}`,Ge=Se.SUBTITLES&&`${Se.SUBTITLES}_clone_${N}`;De&&(_[Se.AUDIO]=De,Se.AUDIO=De),Ge&&(E[Se.SUBTITLES]=Ge,Se.SUBTITLES=Ge);const Xe=Ac(be.uri,Se["STABLE-VARIANT-ID"],"PER-VARIANT-URIS",oe),lt=new $a({attrs:Se,audioCodec:be.audioCodec,bitrate:be.bitrate,height:be.height,name:be.name,url:Xe,videoCodec:be.videoCodec,width:be.width});if(be.audioGroups)for(let vt=1;vt<be.audioGroups.length;vt++)lt.addGroupId("audio",`${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),al(this.audioTracks,_,oe,N),al(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: ${r}`);return}if(E.protocol!=="data:"){const be=(this.hls.bandwidthEstimate||a.abrEwmaDefaultEstimate)|0;E.searchParams.set("_HLS_pathway",this.pathwayId),E.searchParams.set("_HLS_throughput",""+be)}const D={responseType:"json",url:E.href},N=a.steeringManifestLoadPolicy.default,W=N.errorRetry||N.timeoutRetry||{},oe={loadPolicy:N,timeout:N.maxLoadTimeMs,maxRetry:W.maxNumRetry||0,retryDelay:W.retryDelayMs||0,maxRetryDelay:W.maxRetryDelayMs||0},he={onSuccess:(be,Se,De,Ge)=>{this.log(`Loaded steering manifest: "${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(Pr){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,Ge)=>{if(this.log(`Error loading steering manifest: ${be.code} ${be.text} 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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 D=Bl(r,this.controller.signal),N=_.onProgress,W=r.responseType==="arraybuffer",oe=W?"byteLength":"length",{maxTimeToFirstByteMs:he,maxLoadTimeMs:be}=a.loadPolicy;this.context=r,this.config=a,this.callbacks=_,this.request=this.fetchSetup(r,D),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:Ge,statusText:Xe}=Se;throw new ci(Xe||"fetch, bad network response",Ge,Se)}return E.loading.first=De,E.total=fo(Se.headers)||E.total,N&&y(a.highWaterMark)?this.loadProgressively(Se,E,r,a.highWaterMark,N):W?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 Ge=Se[oe];Ge&&(E.loaded=E.total=Ge);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,Ge=Se?Se.message:null;_.onError({code:De,text:Ge},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,D){const N=new ms,W=r.body.getReader(),oe=()=>W.read().then(he=>{if(he.done)return N.dataLength&&D(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&&D(a,_,N.flush(),r)):D(a,_,be,r),oe()}).catch(()=>Promise.reject());return oe()}}function Bl(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 ua(j){const r=Bu.exec(j);if(r)return parseInt(r[2])-parseInt(r[1])+1}function fo(j){const r=j.get("Content-Range");if(r){const _=ua(r);if(y(_))return _}const a=j.get("Content-Length");if(a)return parseInt(a)}function Xs(j,r){return new self.Request(j.url,r)}class ci extends Error{constructor(r,a,_){super(r),this.code=void 0,this.details=void 0,this.code=a,this.details=_}}const Nu=/\s/,C={newCue(j,r,a,_){const E=[];let D,N,W,oe,he;const be=self.VTTCue||self.TextTrackCue;for(let De=0;De<_.rows.length;De++)if(D=_.rows[De],W=!0,oe=0,he="",!D.isEmpty()){var Se;for(let lt=0;lt<D.chars.length;lt++)Nu.test(D.chars[lt].uchar)&&W?oe++:(he+=D.chars[lt].uchar,W=!1);D.cueStartTime=r,r===a&&(a+=1e-4),oe>=16?oe--:oe++;const Ge=ec(he.trim()),Xe=Ku(r,a,Ge);j!=null&&(Se=j.cues)!=null&&Se.getCueById(Xe)||(N=new be(r,a,Ge),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,Ge)=>De.line==="auto"||Ge.line==="auto"?0:De.line>8&&Ge.line>8?Ge.line-De.line:De.line-Ge.line),E.forEach(De=>Ur(j,De))),E}},P={maxTimeToFirstByteMs:8e3,maxLoadTimeMs:2e4,timeoutRetry:null,errorRetry:null},I=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:Fl,fLoader:void 0,pLoader:void 0,xhrSetup:void 0,licenseXhrSetup:void 0,licenseResponseCallback:void 0,abrController:so,bufferController:vo,capLevelController:bc,errorController:os,fpsController:ic,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:P},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},pe()),{},{subtitleStreamController:Es,subtitleTrackController:Us,timelineController:La,audioStreamController:da,audioTrackController:fs,emeController:el,cmcdController:fc,contentSteeringController:Ml});function pe(){return{cueHandler:C,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 je(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=rn(j),_=["manifest","level","frag"],E=["TimeOut","MaxRetry","RetryDelay","MaxRetryTimeout"];return _.forEach(D=>{const N=`${D==="level"?"playlist":D}LoadPolicy`,W=r[N]===void 0,oe=[];E.forEach(he=>{const be=`${D}Loading${he}`,Se=r[be];if(Se!==void 0&&W){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 rn(j){return j&&typeof j=="object"?Array.isArray(j)?j.map(rn):Object.keys(j).reduce((r,a)=>(r[a]=rn(j[a]),r),{}):j}function ui(j){const r=j.loader;r!==_l&&r!==Fl?(R.log("[config]: Custom loader detected, cannot enable progressive streaming"),j.progressive=!1):kc()&&(j.loader=_l,j.progressive=!0,j.enableSoftwareAES=!0,R.log("[config]: Progressive streaming enabled, using FetchLoader"))}let Xi;class Zi extends Ba{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=[],D={},N={};let W=!1,oe=!1,he=!1;a.levels.forEach(be=>{var Se,De;const Ge=be.attrs;let{audioCodec:Xe,videoCodec:lt}=be;((Se=Xe)==null?void 0:Se.indexOf("mp4a.40.34"))!==-1&&(Xi||(Xi=/chrome|firefox/i.test(navigator.userAgent)),Xi&&(be.audioCodec=Xe=void 0)),Xe&&(be.audioCodec=Xe=bi(Xe,_)),((De=lt)==null?void 0:De.indexOf("avc1"))===0&&(lt=be.videoCodec=Ki(lt));const{width:vt,height:Qt,unknownCodecs:yr}=be;if(W||(W=!!(vt&&Qt)),oe||(oe=!!lt),he||(he=!!Xe),yr!=null&&yr.length||Xe&&!mi(Xe,"audio",_)||lt&&!mi(lt,"video",_))return;const{CODECS:Pr,"FRAME-RATE":Wr,"HDCP-LEVEL":$r,"PATHWAY-ID":En,RESOLUTION:un,"VIDEO-RANGE":Un}=Ge,wn=`${`${En||"."}-`}${be.bitrate}-${un}-${Wr}-${Pr}-${Un}-${$r}`;if(D[wn])if(D[wn].uri!==be.url&&!be.attrs["PATHWAY-ID"]){const Qn=N[wn]+=1;be.attrs["PATHWAY-ID"]=new Array(Qn+1).join(".");const Ta=new $a(be);D[wn]=Ta,E.push(Ta)}else D[wn].addGroupId("audio",Ge.AUDIO),D[wn].addGroupId("text",Ge.SUBTITLES);else{const Qn=new $a(be);D[wn]=Qn,N[wn]=1,E.push(Qn)}}),this.filterAndSortMediaOptions(E,a,W,oe,he)}filterAndSortMediaOptions(r,a,_,E,D){let N=[],W=[],oe=r;if((_||E)&&D&&(oe=oe.filter(({videoCodec:Xe,videoRange:lt,width:vt,height:Qt})=>(!!Xe||!!(vt&&Qt))&&qa(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||mi(lt.audioCodec,"audio",Xe)),ss(N)}a.subtitles&&(W=a.subtitles,ss(W));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=ii(Xe.videoCodec),Qt=ii(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===I.abrEwmaDefaultEstimate&&(this.hls.bandwidthEstimate=Qt)}break}const De=D&&!E,Ge={levels:oe,audioTracks:N,subtitleTracks:W,sessionData:a.sessionData,sessionKeys:a.sessionKeys,firstLevel:this._firstLevel,stats:a.stats,audio:D,video:E,altAudio:!De&&N.some(Xe=>!!Xe.url)};this.hls.trigger(l.MANIFEST_PARSED,Ge),(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,D=E?E.attrs["PATHWAY-ID"]:void 0,N=a[r],W=N.attrs["PATHWAY-ID"];if(this.currentLevelIndex=r,this.currentLevel=N,_===r&&N.details&&E&&D===W)return;this.log(`Switching to level ${r} (${N.height?N.height+"p ":""}${N.videoRange?N.videoRange+" ":""}${N.codecSet?N.codecSet+" ":""}@${N.bitrate})${W?" with Pathway "+W:""} from level ${_}${D?" with Pathway "+D:""}`);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(D=>!!_[D]))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:D}=a,N=this._levels[E];if(!N){var W;this.warn(`Invalid level index ${E}`),(W=a.deliveryDirectives)!=null&&W.skip&&(D.deltaUpdateFailed=!0);return}E===this.currentLevelIndex?(N.fragmentError===0&&(N.loadError=0),this.playlistLoaded(E,a,N.details)):(_=a.deliveryDirectives)!=null&&_.skip&&(D.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 D=_.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${D?" Pathway "+D:""} ${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,D)=>D!==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));Ua(_),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 ss(j){const r={};j.forEach(a=>{const _=a.groupId||"";a.id=r[_]=r[_]||0,r[_]++})}class eo{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,D){return new Bi({type:b.NETWORK_ERROR,details:a,fatal:!1,frag:r,response:D,error:_,networkDetails:E})}loadClear(r,a){if(this.emeController&&this.config.emeEnabled){const{sn:_,cc:E}=r;for(let D=0;D<a.length;D++){const N=a[D];if(E<=N.cc&&(_==="initSegment"||N.sn==="initSegment"||_<N.sn)){this.emeController.selectKeySystemFormat(N).then(W=>{N.setKeyFormat(W)});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 D=r.decryptdata;if(!D){const he=new Error(a?`Expected frag.decryptdata to be defined after setting format ${a}`:"Missing decryption data on fragment in onKeyLoading");return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,he))}const N=D.uri;if(!N)return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,new Error(`Invalid key URI: "${N}"`)));let W=this.keyUriToKeyInfo[N];if((_=W)!=null&&_.decryptdata.key)return D.key=W.decryptdata.key,Promise.resolve({frag:r,keyInfo:W});if((E=W)!=null&&E.keyLoadPromise){var oe;switch((oe=W.mediaKeySessionContext)==null?void 0:oe.keyStatus){case void 0:case"status-pending":case"usable":case"usable-in-future":return W.keyLoadPromise.then(he=>(D.key=he.keyInfo.decryptdata.key,{frag:r,keyInfo:W}))}}switch(W=this.keyUriToKeyInfo[N]={decryptdata:D,keyLoadPromise:null,loader:null,mediaKeySessionContext:null},D.method){case"ISO-23001-7":case"SAMPLE-AES":case"SAMPLE-AES-CENC":case"SAMPLE-AES-CTR":return D.keyFormat==="identity"?this.loadKeyHTTP(W,r):this.loadKeyEME(W,r);case"AES-128":return this.loadKeyHTTP(W,r);default:return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,new Error(`Key supplied with unsupported METHOD: "${D.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(D=>(r.mediaKeySessionContext=D,_))).catch(D=>{throw r.keyLoadPromise=null,D})}return Promise.resolve(_)}loadKeyHTTP(r,a){const _=this.config,E=_.loader,D=new E(_);return a.keyLoader=r.loader=D,r.keyLoadPromise=new Promise((N,W)=>{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,Ge,Xe,lt)=>{const{frag:vt,keyInfo:Qt,url:yr}=Xe;if(!vt.decryptdata||Qt!==this.keyUriToKeyInfo[yr])return W(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,Ge,Xe,lt)=>{this.resetLoader(Ge),W(this.createKeyLoadError(a,x.KEY_LOAD_ERROR,new Error(`HTTP Error ${De.code} loading key ${De.text}`),Xe,f({url:oe.url,data:void 0},De)))},onTimeout:(De,Ge,Xe)=>{this.resetLoader(Ge),W(this.createKeyLoadError(a,x.KEY_LOAD_TIMEOUT,new Error("key loading timed out"),Xe))},onAbort:(De,Ge,Xe)=>{this.resetLoader(Ge),W(this.createKeyLoadError(a,x.INTERNAL_ABORTED,new Error("key loading aborted"),Xe))}};D.load(oe,be,Se)})}resetLoader(r){const{frag:a,keyInfo:_,url:E}=r,D=_.loader;a.keyLoader===D&&(a.keyLoader=null,_.loader=null),delete this.keyUriToKeyInfo[E],D&&D.destroy()}}function si(){return self.SourceBuffer||self.WebKitSourceBuffer}function Ss(){if(!ni())return!1;const r=si();return!r||r.prototype&&typeof r.prototype.appendBuffer=="function"&&typeof r.prototype.remove=="function"}function Zo(){if(!Ss())return!1;const j=ni();return typeof(j==null?void 0:j.isTypeSupported)=="function"&&(["avc1.42E01E,mp4a.40.2","av01.0.01M.08","vp09.00.50.08"].some(r=>j.isTypeSupported(aa(r,"video")))||["mp4a.40.2","fLaC"].some(r=>j.isTypeSupported(aa(r,"audio"))))}function Hs(){var j;const r=si();return typeof(r==null||(j=r.prototype)==null?void 0:j.changeType)=="function"}const ho=250,$u=2,Nl=.1,$l=.05;class dc{constructor(r,a,_,E){this.config=void 0,this.media=null,this.fragmentTracker=void 0,this.hls=void 0,this.nudgeRetry=0,this.stallReported=!1,this.stalled=null,this.moved=!1,this.seeking=!1,this.config=r,this.media=a,this.fragmentTracker=_,this.hls=E}destroy(){this.media=null,this.hls=this.fragmentTracker=null}poll(r,a){const{config:_,media:E,stalled:D}=this;if(E===null)return;const{currentTime:N,seeking:W}=E,oe=this.seeking&&!W,he=!this.seeking&&W;if(this.seeking=W,N!==r){if(this.moved=!0,W||(this.nudgeRetry=0),D!==null){if(this.stallReported){const vt=self.performance.now()-D;R.warn(`playback not stuck anymore @${N}, after ${Math.round(vt)}ms`),this.stallReported=!1}this.stalled=null}return}if(he||oe){this.stalled=null;return}if(E.paused&&!W||E.ended||E.playbackRate===0||!pr.getBuffered(E).length){this.nudgeRetry=0;return}const be=pr.bufferInfo(E,N,0),Se=be.nextStart||0;if(W){const vt=be.len>$u,Qt=!Se||a&&a.start<=N||Se-N>$u&&!this.fragmentTracker.getPartialFragment(N);if(vt||Qt)return;this.moved=!1}if(!this.moved&&this.stalled!==null){var De;if(!(be.len>0)&&!Se)return;const Qt=Math.max(Se,be.start||0)-N,yr=this.hls.levels?this.hls.levels[this.hls.currentLevel]:null,Wr=(yr==null||(De=yr.details)==null?void 0:De.live)?yr.details.targetduration*2:$u,$r=this.fragmentTracker.getPartialFragment(N);if(Qt>0&&(Qt<=Wr||$r)){E.paused||this._trySkipBufferHole($r);return}}const Ge=self.performance.now();if(D===null){this.stalled=Ge;return}const Xe=Ge-D;if(!W&&Xe>=ho&&(this._reportStall(be),!this.media))return;const lt=pr.bufferInfo(E,N,_.maxBufferHole);this._tryFixBufferStall(lt,Xe)}_tryFixBufferStall(r,a){const{config:_,fragmentTracker:E,media:D}=this;if(D===null)return;const N=D.currentTime,W=E.getPartialFragment(N);W&&(this._trySkipBufferHole(W)||!this.media)||(r.len>_.maxBufferHole||r.nextStart&&r.nextStart-N<_.maxBufferHole)&&a>_.highBufferWatchdogPeriod*1e3&&(R.warn("Trying to nudge playhead over buffer-hole"),this.stalled=null,this._tryNudgeBuffer())}_reportStall(r){const{hls:a,media:_,stallReported:E}=this;if(!E&&_){this.stallReported=!0;const D=new Error(`Playback stalling at @${_.currentTime} due to low buffer (${JSON.stringify(r)})`);R.warn(D.message),a.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_STALLED_ERROR,fatal:!1,error:D,buffer:r.len})}}_trySkipBufferHole(r){const{config:a,hls:_,media:E}=this;if(E===null)return 0;const D=E.currentTime,N=pr.bufferInfo(E,D,0),W=D<N.start?N.start:N.nextStart;if(W){const oe=N.len<=a.maxBufferHole,he=N.len>0&&N.len<1&&E.readyState<3,be=W-D;if(be>0&&(oe||he)){if(be>a.maxBufferHole){const{fragmentTracker:De}=this;let Ge=!1;if(D===0){const Xe=De.getAppendedFrag(0,Ye.MAIN);Xe&&W<Xe.end&&(Ge=!0)}if(!Ge){const Xe=r||De.getAppendedFrag(D,Ye.MAIN);if(Xe){let lt=!1,vt=Xe.end;for(;vt<W;){const Qt=De.getPartialFragment(vt);if(Qt)vt+=Qt.duration;else{lt=!0;break}}if(lt)return 0}}}const Se=Math.max(W+$l,D+Nl);if(R.warn(`skipping hole, adjusting currentTime from ${D} 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 ${D} 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 D=_.currentTime;if(this.nudgeRetry++,E<r.nudgeMaxRetry){const N=D+(E+1)*r.nudgeOffset,W=new Error(`Nudging 'currentTime' from ${D} to ${N}`);R.warn(W.message),_.currentTime=N,a.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_NUDGE_ON_STALL,error:W,fatal:!1})}else{const N=new Error(`Playhead still not moving while enough data buffered @${D} 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 Xu=100;class ju extends To{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(Xu),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=hn.IDLE,this.nextLoadPosition=this.startPosition=this.lastCurrentTime=r,this.tick()}else this._forceStartLoad=!0,this.state=hn.STOPPED}stopLoad(){this._forceStartLoad=!1,super.stopLoad()}doTick(){switch(this.state){case hn.WAITING_LEVEL:{const{levels:a,level:_}=this,E=a==null?void 0:a[_],D=E==null?void 0:E.details;if(D&&(!D.live||this.levelLastLoaded===E)){if(this.waitForCdnTuneIn(D))break;this.state=hn.IDLE;break}else if(this.hls.nextLoadLevel!==this.level){this.state=hn.IDLE;break}break}case hn.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:D}=this,N=E==null?void 0:E[D];this.resetStartWhenNotLoaded(N||null),this.state=hn.IDLE}}break}this.state===hn.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 D=this.buffering?r.nextLoadLevel:r.loadLevel;if(!(_!=null&&_[D]))return;const N=_[D],W=this.getMainFwdBufferInfo();if(W===null)return;const oe=this.getLevelDetails();if(oe&&this._streamEnded(W,oe)){const lt={};this.altAudio&&(lt.type="video"),this.hls.trigger(l.BUFFER_EOS,lt),this.state=hn.ENDED;return}if(!this.buffering)return;r.loadLevel!==D&&r.manualLevel===-1&&this.log(`Adapting to level ${D} from level ${this.level}`),this.level=r.nextLoadLevel=D;const he=N.details;if(!he||this.state===hn.WAITING_LEVEL||he.live&&this.levelLastLoaded!==N){this.level=D,this.state=hn.WAITING_LEVEL;return}const be=W.len,Se=this.getMaxBufferLength(N.maxBitrate);if(be>=Se)return;this.backtrackFragment&&this.backtrackFragment.start>W.end&&(this.backtrackFragment=null);const De=this.backtrackFragment?this.backtrackFragment.start:W.end;let Ge=this.getNextFragment(De,he);if(this.couldBacktrack&&!this.fragPrevious&&Ge&&Ge.sn!=="initSegment"&&this.fragmentTracker.getState(Ge)!==Ns.OK){var Xe;const vt=((Xe=this.backtrackFragment)!=null?Xe:Ge).sn-he.startSN,Qt=he.fragments[vt-1];Qt&&Ge.cc===Qt.cc&&(Ge=Qt,this.fragmentTracker.removeFragment(Qt))}else this.backtrackFragment&&W.len&&(this.backtrackFragment=null);if(Ge&&this.isLoopLoading(Ge,De)){if(!Ge.gap){const vt=this.audioOnly&&!this.altAudio?V.AUDIO:V.VIDEO,Qt=(vt===V.VIDEO?this.videoBuffer:this.mediaBuffer)||this.media;Qt&&this.afterBufferFlushed(Qt,vt,Ye.MAIN)}Ge=this.getNextFragmentLoopLoading(Ge,he,W,Ye.MAIN,Se)}Ge&&(Ge.initSegment&&!Ge.initSegment.data&&!this.bitrateTest&&(Ge=Ge.initSegment),this.loadFragment(Ge,N,De))}loadFragment(r,a,_){const E=this.fragmentTracker.getState(r);this.fragCurrent=r,E===Ns.NOT_LOADED||E===Ns.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 D=this.getLevelDetails();if(D!=null&&D.live){const W=this.getMainFwdBufferInfo();if(!W||W.len<D.targetduration*2)return}if(!a.paused&&r){const W=this.hls.nextLoadLevel,oe=r[W],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 W=this.followingBufferedFrag(N);if(W){this.abortCurrentFrag();const oe=W.maxStartPTS?W.maxStartPTS:W.start,he=W.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 hn.KEY_LOADING:case hn.FRAG_LOADING:case hn.FRAG_LOADING_WAITING_RETRY:case hn.PARSING:case hn.PARSED:this.state=hn.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 dc(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(D=>{const N=D.audioCodec;N&&(_=_||N.indexOf("mp4a.40.2")!==-1,E=E||N.indexOf("mp4a.40.5")!==-1)}),this.audioCodecSwitch=_&&E&&!Hs(),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!==hn.IDLE)return;const E=_[a.level];(!E.details||E.details.live&&this.levelLastLoaded!==E||this.waitForCdnTuneIn(E.details))&&(this.state=hn.WAITING_LEVEL)}onLevelLoaded(r,a){var _;const{levels:E}=this,D=a.level,N=a.details,W=N.totalduration;if(!E){this.warn(`Levels were reset while loading level ${D}`);return}this.log(`Level ${D} loaded [${N.startSN},${N.endSN}]${N.lastPartSn?`[part-${N.lastPartSn}-${N.lastPartIndex}]`:""}, cc [${N.startCC}, ${N.endCC}] duration:${W}`);const oe=E[D],he=this.fragCurrent;he&&(this.state===hn.FRAG_LOADING||this.state===hn.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:D}),this.state===hn.WAITING_LEVEL){if(this.waitForCdnTuneIn(N))return;this.state=hn.IDLE}this.startFragRequested?N.live&&this.synchronizeToLiveEdge(N):this.setStartPosition(N,be),this.tick()}_handleFragmentLoadProgress(r){var a;const{frag:_,part:E,payload:D}=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 W=N[_.level],oe=W.details;if(!oe){this.warn(`Dropping fragment ${_.sn} of level ${_.level} after level details were reset`),this.fragmentTracker.removeFragment(_);return}const he=W.videoCodec,be=oe.PTSKnown||!oe.live,Se=(a=_.initSegment)==null?void 0:a.data,De=this._getAudioCodec(W),Ge=this.transmuxer=this.transmuxer||new Vn(this.hls,Ye.MAIN,this._handleTransmuxComplete.bind(this),this._handleTransmuxerFlush.bind(this)),Xe=E?E.index:-1,lt=Xe!==-1,vt=new _n(_.level,_.sn,_.stats.chunkCount,D.byteLength,Xe,lt),Qt=this.initPTS[_.cc];Ge.push(D,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 D=this.hls;_&&(D.trigger(l.BUFFER_FLUSHING,{startOffset:0,endOffset:Number.POSITIVE_INFINITY,type:null}),this.fragmentTracker.removeAllFragments()),D.trigger(l.AUDIO_TRACK_SWITCHED,a)}}onAudioTrackSwitched(r,a){const _=a.id,E=!!this.hls.audioTracks[_].url;if(E){const D=this.videoBuffer;D&&this.mediaBuffer!==D&&(this.log("Switching on alternate audio, use video.buffered to schedule main fragment loading"),this.mediaBuffer=D)}this.altAudio=E,this.tick()}onBufferCreated(r,a){const _=a.tracks;let E,D,N=!1;for(const W in _){const oe=_[W];if(oe.id==="main"){if(D=W,E=oe,W==="video"){const he=_[W];he&&(this.videoBuffer=he.buffer)}}else N=!0}N&&E?(this.log(`Alternate track found, use ${D}.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===hn.PARSED&&(this.state=hn.IDLE);return}const D=E?E.stats:_.stats;this.fragLastKbps=Math.round(8*D.total/(D.buffering.end-D.loading.first)),_.sn!=="initSegment"&&(this.fragPrevious=_),this.fragBufferedComplete(_,E)}onError(r,a){var _;if(a.fatal){this.state=hn.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===hn.WAITING_LEVEL&&((_=a.context)==null?void 0:_.type)===ye.LEVEL&&(this.state=hn.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||!pr.getBuffered(r).length){const _=this.state!==hn.IDLE?this.fragCurrent:null;a.poll(this.lastCurrentTime,_)}this.lastCurrentTime=r.currentTime}}onFragLoadEmergencyAborted(){this.state=hn.IDLE,this.loadedmetadata||(this.startFragRequested=!1,this.nextLoadPosition=this.startPosition),this.tickImmediate()}onBufferFlushed(r,{type:a}){if(a!==V.AUDIO||this.audioOnly&&!this.altAudio){const _=(a===V.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=pr.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 ${a}`),r.currentTime=_}}_getAudioCodec(r){let a=this.config.defaultAudioCodec||r.audioCodec;return this.audioCodecSwap&&a&&(this.log("Swapping audio codec"),a.indexOf("mp4a.40.5")!==-1?a="mp4a.40.2":a="mp4a.40.5"),a}_loadBitrateTestFrag(r,a){r.bitrateTest=!0,this._doFragLoad(r,a).then(_=>{const{hls:E}=this;if(!_||this.fragContextChanged(r))return;a.fragmentError=0,this.state=hn.IDLE,this.startFragRequested=!1,this.bitrateTest=!1;const D=r.stats;D.parsing.start=D.parsing.end=D.buffering.start=D.buffering.end=self.performance.now(),E.trigger(l.FRAG_LOADED,_),r.bitrateTest=!1})}_handleTransmuxComplete(r){var a;const _="main",{hls:E}=this,{remuxResult:D,chunkMeta:N}=r,W=this.getCurrentContext(N);if(!W){this.resetWhenMissingContext(N);return}const{frag:oe,part:he,level:be}=W,{video:Se,text:De,id3:Ge,initSegment:Xe}=D,{details:lt}=be,vt=this.altAudio?void 0:D.audio;if(this.fragContextChanged(oe)){this.fragmentTracker.removeFragment(oe);return}if(this.state=hn.PARSING,Xe){if(Xe!=null&&Xe.tracks){const Pr=oe.initSegment||oe;this._bufferInitSegment(be,Xe.tracks,Pr,N),E.trigger(l.FRAG_PARSING_INIT_SEGMENT,{frag:Pr,id:_,tracks:Xe.tracks})}const Qt=Xe.initPTS,yr=Xe.timescale;y(Qt)&&(this.initPTS[oe.cc]={baseTime:Qt,timescale:yr},E.trigger(l.INIT_PTS_FOUND,{frag:oe,id:_,initPTS:Qt,timescale:yr}))}if(Se&&lt&&oe.sn!=="initSegment"){const Qt=lt.fragments[oe.sn-1-lt.startSN],yr=oe.sn===lt.startSN,Pr=!Qt||oe.cc>Qt.cc;if(D.independent!==!1){const{startPTS:Wr,endPTS:$r,startDTS:En,endDTS:un}=Se;if(he)he.elementaryStreams[Se.type]={startPTS:Wr,endPTS:$r,startDTS:En,endDTS:un};else if(Se.firstKeyFrame&&Se.independent&&N.id===1&&!Pr&&(this.couldBacktrack=!0),Se.dropped&&Se.independent){const Un=this.getMainFwdBufferInfo(),oi=(Un?Un.end:this.getLoadPosition())+this.config.maxBufferHole,wn=Se.firstKeyFramePTS?Se.firstKeyFramePTS:Wr;if(!yr&&oi<wn-this.config.maxBufferHole&&!Pr){this.backtrack(oe);return}else Pr&&(oe.gap=!0);oe.setElementaryStreamInfo(Se.type,oe.start,$r,oe.start,un,!0)}else yr&&Wr>$u&&(oe.gap=!0);oe.setElementaryStreamInfo(Se.type,Wr,$r,En,un),this.backtrackFragment&&(this.backtrackFragment=oe),this.bufferFragmentData(Se,oe,he,N,yr||Pr)}else if(yr||Pr)oe.gap=!0;else{this.backtrack(oe);return}}if(vt){const{startPTS:Qt,endPTS:yr,startDTS:Pr,endDTS:Wr}=vt;he&&(he.elementaryStreams[V.AUDIO]={startPTS:Qt,endPTS:yr,startDTS:Pr,endDTS:Wr}),oe.setElementaryStreamInfo(V.AUDIO,Qt,yr,Pr,Wr),this.bufferFragmentData(vt,oe,he,N)}if(lt&&Ge!=null&&(a=Ge.samples)!=null&&a.length){const Qt={id:_,frag:oe,details:lt,samples:Ge.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!==hn.PARSING)return;this.audioOnly=!!a.audio&&!a.video,this.altAudio&&!this.audioOnly&&delete a.audio;const{audio:D,video:N,audiovideo:W}=a;if(D){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=D.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&&D.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 "${oe}"`),D.levelCodec=oe,D.id="main",this.log(`Init audio buffer, container:${D.container}, codecs[selected/level/parsed]=[${oe||""}/${r.audioCodec||""}/${D.codec}]`)}N&&(N.levelCodec=r.videoCodec,N.id="main",this.log(`Init video buffer, container:${N.container}, codecs[level/parsed]=[${r.videoCodec||""}/${N.codec}]`)),W&&this.log(`Init audiovideo buffer, container:${W.container}, codecs[level/parsed]=[${r.codecs}/${W.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=hn.IDLE}checkFragmentChanged(){const r=this.media;let a=null;if(r&&r.readyState>1&&r.seeking===!1){const _=r.currentTime;if(pr.isBuffered(r,_)?a=this.getAppendedFrag(_):pr.isBuffered(r,_+.1)&&(a=this.getAppendedFrag(_+.1)),a){this.backtrackFragment=null;const E=this.fragPlaying,D=a.level;(!E||a.sn!==E.sn||E.level!==D)&&(this.fragPlaying=a,this.hls.trigger(l.FRAG_CHANGED,{frag:a}),(!E||E.level!==D)&&this.hls.trigger(l.LEVEL_SWITCHED,{level:D}))}}}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 Du{static get version(){return"1.5.20"}static isMSESupported(){return Ss()}static isSupported(){return Zo()}static getMediaSource(){return ni()}static get Events(){return l}static get ErrorTypes(){return b}static get ErrorDetails(){return x}static get DefaultConfig(){return Du.defaultConfig?Du.defaultConfig:I}static set DefaultConfig(r){Du.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 Fn,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=je(Du.DefaultConfig,r);this.userConfig=r,a.progressive&&ui(a);const{abrController:_,bufferController:E,capLevelController:D,errorController:N,fpsController:W}=a,oe=new N(this),he=this.abrController=new _(this),be=this.bufferController=new E(this),Se=this.capLevelController=new D(this),De=new W(this),Ge=new Or(this),Xe=new la(this),lt=a.contentSteeringController,vt=lt?new lt(this):null,Qt=this.levelController=new Zi(this,vt),yr=new qt(this),Pr=new eo(this.config),Wr=this.streamController=new ju(this,yr,Pr);Se.setStreamController(Wr),De.setStreamController(Wr);const $r=[Ge,Qt,Wr];vt&&$r.splice(1,0,vt),this.networkControllers=$r;const En=[he,be,Se,De,Xe,yr];this.audioTrackController=this.createController(a.audioTrackController,$r);const un=a.audioStreamController;un&&$r.push(new un(this,yr,Pr)),this.subtitleTrackController=this.createController(a.subtitleTrackController,$r);const Un=a.subtitleStreamController;Un&&$r.push(new Un(this,yr,Pr)),this.createController(a.timelineController,En),Pr.emeController=this.emeController=this.createController(a.emeController,En),this.cmcdController=this.createController(a.cmcdController,En),this.latencyController=this.createController(Is,En),this.coreComponents=En,$r.push(oe);const oi=oe.onErrorOut;typeof oi=="function"&&this.on(l.ERROR,oi,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){As(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 D=E;D--;){const N=r[D].attrs["HDCP-LEVEL"];if(N&&N<=_)return D}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 subtitleTrack(){const r=this.subtitleTrackController;return r?r.subtitleTrack:-1}get media(){return this._media}set subtitleTrack(r){const a=this.subtitleTrackController;a&&(a.subtitleTrack=r)}get subtitleDisplay(){const r=this.subtitleTrackController;return r?r.subtitleDisplay:!1}set subtitleDisplay(r){const a=this.subtitleTrackController;a&&(a.subtitleDisplay=r)}get lowLatencyMode(){return this.config.lowLatencyMode}set lowLatencyMode(r){this.config.lowLatencyMode=r}get liveSyncPosition(){return this.latencyController.liveSyncPosition}get latency(){return this.latencyController.latency}get maxLatency(){return this.latencyController.maxLatency}get targetLatency(){return this.latencyController.targetLatency}get drift(){return this.latencyController.drift}get forceStartLoad(){return this.streamController.forceStartLoad}}Du.defaultConfig=void 0},53280:function(d,v,e){"use strict";e.d(v,{D:function(){return n}});function t(s,u,f){var c=f||{},h=c.noTrailing,o=h===void 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+      } (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 ${a.join(", ")}`),this.keyFormatPromise=this.getKeyFormatPromise(a)),this.keyFormatPromise}getKeyFormatPromise(r){return new Promise((a,_)=>{const E=Jt(this.config),D=r.map(Ft).filter(N=>!!N&&E.indexOf(N)!==-1);return this.getKeySystemSelectionPromise(D).then(({keySystem:N})=>{const W=tr(N);W?a(W):_(new Error(`Unable to find format for key-system "${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 D=this.keyIdToKeySessionPromise[_];return D||(D=this.keyIdToKeySessionPromise[_]=this.getKeySystemForKeyPromise(a).then(({keySystem:N,mediaKeys:W})=>(this.throwIfDestroyed(),this.log(`Handle encrypted media sn: ${r.frag.sn} ${r.frag.type}: ${r.frag.level} using key ${E}`),this.attemptSetMediaKeys(N,W).then(()=>{this.throwIfDestroyed();const oe=this.createMediaKeySessionContext({keySystem:N,mediaKeys:W,decryptdata:a});return this.generateRequestWithPreferredKeySession(oe,"cenc",a.pssh,"playlist-key")}))),D.catch(N=>this.handleError(N))),D}throwIfDestroyed(r="Invalid state"){if(!this.hls)throw new Error("invalid state")}handleError(r){this.hls&&(this.error(r.message),r instanceof eu?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),D=E?[E]:Jt(this.config);return this.attemptKeySystemAccess(D)}return _}getKeySystemSelectionPromise(r){if(r.length||(r=Jt(this.config)),r.length===0)throw new eu({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 "${r}"`),_.push(E),this.setMediaKeysQueue=this.setMediaKeysQueue.filter(D=>_.indexOf(D)===-1)})}generateRequestWithPreferredKeySession(r,a,_,E){var D,N;const W=(D=this.config.drmSystems)==null||(N=D[r.keySystem])==null?void 0:N.generateRequest;if(W)try{const Xe=W.call(this.hls,a,_,r);if(!Xe)throw new Error("Invalid response from configured generateRequest filter");a=Xe.initDataType,_=r.decryptdata.pssh=Xe.initData?new Uint8Array(Xe.initData):null}catch(Xe){var oe;if(this.warn(Xe.message),(oe=this.hls)!=null&&oe.config.debug)throw Xe}if(_===null)return this.log(`Skipping key-session request for "${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: ${_?_.byteLength:null})`);const be=new Fn,Se=r._onmessage=Xe=>{const lt=r.mediaKeysSession;if(!lt){be.emit("error",new Error("invalid state"));return}const{messageType:vt,message:Qt}=Xe;this.log(`"${vt}" message event for session "${lt.sessionId}" message size: ${Qt.byteLength}`),vt==="license-request"||vt==="license-renewal"?this.renewLicense(r,Qt).catch(yr=>{this.handleError(yr),be.emit("error",yr)}):vt==="license-release"?r.keySystem===Le.FAIRPLAY&&(this.updateKeySession(r,xe("acknowledged")),this.removeSession(r)):this.warn(`unhandled media key message type "${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 ${he}`),this.renewKeySession(r))};r.mediaKeysSession.addEventListener("message",Se),r.mediaKeysSession.addEventListener("keystatuseschange",De);const Ge=new Promise((Xe,lt)=>{be.on("error",lt),be.on("keyStatus",vt=>{vt.startsWith("usable")?Xe():vt==="output-restricted"?lt(new eu({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_STATUS_OUTPUT_RESTRICTED,fatal:!1},"HDCP level output restricted")):vt==="internal-error"?lt(new eu({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_STATUS_INTERNAL_ERROR,fatal:!0},`key status changed to "${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 eu({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_NO_SESSION,error:Xe,fatal:!1},`Error generating key-session request: ${Xe}`)}).then(()=>Ge).catch(Xe=>{throw be.removeAllListeners(),this.removeSession(r),Xe}).then(()=>(be.removeAllListeners(),r))}onKeyStatusChange(r){r.mediaKeysSession.keyStatuses.forEach((a,_)=>{this.log(`key status change "${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: ${r.decryptdata.uri}`),r.keyStatus=a})}fetchServerCertificate(r){const a=this.config,_=a.loader,E=new _(a),D=this.getServerCertificateUrl(r);return D?(this.log(`Fetching server certificate for "${r}"`),new Promise((N,W)=>{const oe={responseType:"arraybuffer",url:D},he=a.certLoadPolicy.default,be={loadPolicy:he,timeout:he.maxLoadTimeMs,maxRetry:0,retryDelay:0,maxRetryDelay:0},Se={onSuccess:(De,Ge,Xe,lt)=>{N(De.data)},onError:(De,Ge,Xe,lt)=>{W(new eu({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)},`"${r}" certificate request failed (${D}). Status: ${De.code} (${De.text})`))},onTimeout:(De,Ge,Xe)=>{W(new eu({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_SERVER_CERTIFICATE_REQUEST_FAILED,fatal:!0,networkDetails:Xe,response:{url:oe.url,data:void 0}},`"${r}" certificate request timed out (${D})`))},onAbort:(De,Ge,Xe)=>{W(new Error("aborted"))}};E.load(oe,be,Se)})):Promise.resolve()}setMediaKeysServerCertificate(r,a,_){return new Promise((E,D)=>{r.setServerCertificate(_).then(N=>{this.log(`setServerCertificate ${N?"success":"not supported by CDM"} (${_==null?void 0:_.byteLength}) on "${a}"`),E(r)}).catch(N=>{D(new eu({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 eu({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"),D=E.querySelectorAll("HttpHeader");if(D.length>0){let be;for(let Se=0,De=D.length;Se<De;Se++){var N,W;be=D[Se];const Ge=(N=be.querySelector("name"))==null?void 0:N.textContent,Xe=(W=be.querySelector("value"))==null?void 0:W.textContent;Ge&&Xe&&r.setRequestHeader(Ge,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 D=this.config.licenseXhrSetup;return D?Promise.resolve().then(()=>{if(!_.decryptdata)throw new Error("Key removed");return D.call(this.hls,r,a,_,E)}).catch(N=>{if(!_.decryptdata)throw N;return r.open("POST",a,!0),D.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,D)=>{const N=this.getLicenseServerUrlOrThrow(r.keySystem);this.log(`Sending license request to URL: ${N}`);const W=new XMLHttpRequest;W.responseType="arraybuffer",W.onreadystatechange=()=>{if(!this.hls||!r.mediaKeysSession)return D(new Error("invalid state"));if(W.readyState===4)if(W.status===200){this._requestLicenseFailureCount=0;let oe=W.response;this.log(`License received ${oe instanceof ArrayBuffer?oe.byteLength:oe}`);const he=this.config.licenseResponseCallback;if(he)try{oe=he.call(this.hls,W,N,r)}catch(be){this.error(be)}E(oe)}else{const oe=_.errorRetry,he=oe?oe.maxNumRetry:0;if(this._requestLicenseFailureCount++,this._requestLicenseFailureCount>he||W.status>=400&&W.status<500)D(new eu({type:b.KEY_SYSTEM_ERROR,details:x.KEY_SYSTEM_LICENSE_REQUEST_FAILED,fatal:!0,networkDetails:W,response:{url:N,data:void 0,code:W.status,text:W.statusText}},`License Request XHR failed (${N}). Status: ${W.status} (${W.statusText})`));else{const be=he-this._requestLicenseFailureCount+1;this.warn(`Retrying license request, ${be} attempts left`),this.requestLicense(r,a).then(E,D)}}},r.licenseXhr&&r.licenseXhr.readyState!==XMLHttpRequest.DONE&&r.licenseXhr.abort(),r.licenseXhr=W,this.setupLicenseXHR(W,N,r,a).then(({xhr:oe,licenseChallenge:he})=>{r.keySystem==Le.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={},Fr.clearKeyUriToKeyIdMap();const _=a.length;el.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,D)=>(E.indexOf(D.keyFormat)===-1&&E.push(D.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(D=>{this.log(`Could not remove session: ${D}`)}).then(()=>a.close()).catch(D=>{this.log(`Could not close session: ${D}`)})}}}el.CDMCleanupPromise=void 0;class eu extends Error{constructor(r,a){super(a),this.data=void 0,r.error||(r.error=new Error(a)),this.data=r,r.err=r.error}}var 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il=j=>Math.round(j),hl=(j,r)=>(r!=null&&r.baseUrl&&(j=Dc(j,r.baseUrl)),encodeURIComponent(j)),Rl=j=>il(j/100)*100,El={br:il,d:il,bl:Rl,dl:Rl,mtp:Rl,nor:hl,rtp:Rl,tb:il};function lu(j,r){const a={};if(j==null||typeof j!="object")return a;const _=Object.keys(j).sort(),E=i({},El,r==null?void 0:r.formatters),D=r==null?void 0:r.filter;return _.forEach(N=>{if(D!=null&&D(N))return;let W=j[N];const oe=E[N];oe&&(W=oe(W,r)),!(N==="v"&&W===1)&&(N=="pr"&&W===1||Mu(W)&&(nl(N)&&typeof W=="string"&&(W=new Ol(W)),a[N]=W))}),a}function Ll(j,r={}){return j?Yl(lu(j,r),i({whitespace:!1},r)):""}function cc(j,r={}){if(!j)return{};const a=Object.entries(j),_=Object.entries(wu).concat(Object.entries((r==null?void 0:r.customHeaderMap)||{})),E=a.reduce((D,N)=>{var W,oe;const[he,be]=N,Se=((W=_.find(De=>De[1].includes(he)))==null?void 0:W[0])||Yu.REQUEST;return(oe=D[Se])!=null||(D[Se]={}),D[Se][he]=be,D},{});return Object.entries(E).reduce((D,[N,W])=>(D[N]=Ll(W,r),D),{})}function Oc(j,r,a){return i(j,cc(r,a))}const Xl="CMCD";function tu(j,r={}){if(!j)return"";const a=Ll(j,r);return`${Xl}=${encodeURIComponent(a)}`}const pl=/CMCD=[^&#]+/;function Cc(j,r,a){const _=tu(r,a);if(!_)return j;if(pl.test(j))return j.replace(pl,_);const E=j.includes("?")?"&":"?";return`${j}${E}${_}`}class fc{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:Eo.MANIFEST,su:!this.initialized})}catch(D){R.warn("Could not generate manifest CMCD data.",D)}},this.applyFragmentData=E=>{try{const D=E.frag,N=this.hls.levels[D.level],W=this.getObjectType(D),oe={d:D.duration*1e3,ot:W};(W===Eo.VIDEO||W===Eo.AUDIO||W==Eo.MUXED)&&(oe.br=N.bitrate/1e3,oe.tb=this.getTopBandwidth(W)/1e3,oe.bl=this.getBufferLength(W)),this.apply(E,oe)}catch(D){R.warn("Could not generate segment CMCD data.",D)}},this.hls=r;const a=this.config=r.config,{cmcd:_}=a;_!=null&&(a.pLoader=this.createPlaylistLoader(),a.fLoader=this.createFragmentLoader(),this.sid=_.sessionId||Sc(),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:Dl.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===Eo.INIT||a.ot===Eo.VIDEO||a.ot===Eo.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((D,N)=>(E.includes(N)&&(D[N]=a[N]),D),{})),this.useHeaders?(r.headers||(r.headers={}),Oc(r.headers,a)):r.url=Cc(r.url,a)}getObjectType(r){const{type:a}=r;if(a==="subtitle")return Eo.TIMED_TEXT;if(r.sn==="initSegment")return Eo.INIT;if(a==="audio")return Eo.AUDIO;if(a==="main")return this.hls.audioTracks.length?Eo.VIDEO:Eo.MUXED}getTopBandwidth(r){let a=0,_;const E=this.hls;if(r===Eo.AUDIO)_=E.audioTracks;else{const D=E.maxAutoLevel,N=D>-1?D+1:E.levels.length;_=E.levels.slice(0,N)}for(const D of _)D.bitrate>a&&(a=D.bitrate);return a>0?a:NaN}getBufferLength(r){const 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${he.bitrate}`),this.hls.nextLoadLevel=W);break}}}getPathwayForGroupId(r,a,_){const E=this.getLevelsForPathway(_).concat(this.levels||[]);for(let D=0;D<E.length;D++)if(a===ye.AUDIO_TRACK&&E[D].hasAudioGroup(r)||a===ye.SUBTITLE_TRACK&&E[D].hasSubtitleGroup(r))return E[D].pathwayId;return _}clonePathways(r){const a=this.levels;if(!a)return;const _={},E={};r.forEach(D=>{const{ID:N,"BASE-ID":W,"URI-REPLACEMENT":oe}=D;if(a.some(be=>be.pathwayId===N))return;const he=this.getLevelsForPathway(W).map(be=>{const Se=new Z(be.attrs);Se["PATHWAY-ID"]=N;const De=Se.AUDIO&&`${Se.AUDIO}_clone_${N}`,Ge=Se.SUBTITLES&&`${Se.SUBTITLES}_clone_${N}`;De&&(_[Se.AUDIO]=De,Se.AUDIO=De),Ge&&(E[Se.SUBTITLES]=Ge,Se.SUBTITLES=Ge);const Xe=Ac(be.uri,Se["STABLE-VARIANT-ID"],"PER-VARIANT-URIS",oe),lt=new $a({attrs:Se,audioCodec:be.audioCodec,bitrate:be.bitrate,height:be.height,name:be.name,url:Xe,videoCodec:be.videoCodec,width:be.width});if(be.audioGroups)for(let vt=1;vt<be.audioGroups.length;vt++)lt.addGroupId("audio",`${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),al(this.audioTracks,_,oe,N),al(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: ${r}`);return}if(E.protocol!=="data:"){const be=(this.hls.bandwidthEstimate||a.abrEwmaDefaultEstimate)|0;E.searchParams.set("_HLS_pathway",this.pathwayId),E.searchParams.set("_HLS_throughput",""+be)}const D={responseType:"json",url:E.href},N=a.steeringManifestLoadPolicy.default,W=N.errorRetry||N.timeoutRetry||{},oe={loadPolicy:N,timeout:N.maxLoadTimeMs,maxRetry:W.maxNumRetry||0,retryDelay:W.retryDelayMs||0,maxRetryDelay:W.maxRetryDelayMs||0},he={onSuccess:(be,Se,De,Ge)=>{this.log(`Loaded steering manifest: "${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(Pr){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,Ge)=>{if(this.log(`Error loading steering manifest: ${be.code} ${be.text} 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pe(){return{cueHandler:C,enableWebVTT:!0,enableIMSC1:!0,enableCEA708Captions:!0,captionsTextTrack1Label:"English",captionsTextTrack1LanguageCode:"en",captionsTextTrack2Label:"Spanish",captionsTextTrack2LanguageCode:"es",captionsTextTrack3Label:"Unknown CC",captionsTextTrack3LanguageCode:"",captionsTextTrack4Label:"Unknown CC",captionsTextTrack4LanguageCode:"",renderTextTracksNatively:!0}}function je(j,r){if((r.liveSyncDurationCount||r.liveMaxLatencyDurationCount)&&(r.liveSyncDuration||r.liveMaxLatencyDuration))throw new Error("Illegal hls.js config: don't mix up liveSyncDurationCount/liveMaxLatencyDurationCount and liveSyncDuration/liveMaxLatencyDuration");if(r.liveMaxLatencyDurationCount!==void 0&&(r.liveSyncDurationCount===void 0||r.liveMaxLatencyDurationCount<=r.liveSyncDurationCount))throw new Error('Illegal hls.js config: "liveMaxLatencyDurationCount" must be greater than "liveSyncDurationCount"');if(r.liveMaxLatencyDuration!==void 0&&(r.liveSyncDuration===void 0||r.liveMaxLatencyDuration<=r.liveSyncDuration))throw new Error('Illegal hls.js config: "liveMaxLatencyDuration" must be greater than "liveSyncDuration"');const a=rn(j),_=["manifest","level","frag"],E=["TimeOut","MaxRetry","RetryDelay","MaxRetryTimeout"];return _.forEach(D=>{const N=`${D==="level"?"playlist":D}LoadPolicy`,W=r[N]===void 0,oe=[];E.forEach(he=>{const be=`${D}Loading${he}`,Se=r[be];if(Se!==void 0&&W){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 rn(j){return j&&typeof j=="object"?Array.isArray(j)?j.map(rn):Object.keys(j).reduce((r,a)=>(r[a]=rn(j[a]),r),{}):j}function ui(j){const r=j.loader;r!==_l&&r!==Fl?(R.log("[config]: Custom loader detected, cannot enable progressive streaming"),j.progressive=!1):kc()&&(j.loader=_l,j.progressive=!0,j.enableSoftwareAES=!0,R.log("[config]: Progressive streaming enabled, using FetchLoader"))}let Xi;class Zi extends Ba{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=[],D={},N={};let W=!1,oe=!1,he=!1;a.levels.forEach(be=>{var Se,De;const Ge=be.attrs;let{audioCodec:Xe,videoCodec:lt}=be;((Se=Xe)==null?void 0:Se.indexOf("mp4a.40.34"))!==-1&&(Xi||(Xi=/chrome|firefox/i.test(navigator.userAgent)),Xi&&(be.audioCodec=Xe=void 0)),Xe&&(be.audioCodec=Xe=bi(Xe,_)),((De=lt)==null?void 0:De.indexOf("avc1"))===0&&(lt=be.videoCodec=Ki(lt));const{width:vt,height:Qt,unknownCodecs:yr}=be;if(W||(W=!!(vt&&Qt)),oe||(oe=!!lt),he||(he=!!Xe),yr!=null&&yr.length||Xe&&!mi(Xe,"audio",_)||lt&&!mi(lt,"video",_))return;const{CODECS:Pr,"FRAME-RATE":Wr,"HDCP-LEVEL":$r,"PATHWAY-ID":En,RESOLUTION:un,"VIDEO-RANGE":Un}=Ge,wn=`${`${En||"."}-`}${be.bitrate}-${un}-${Wr}-${Pr}-${Un}-${$r}`;if(D[wn])if(D[wn].uri!==be.url&&!be.attrs["PATHWAY-ID"]){const Qn=N[wn]+=1;be.attrs["PATHWAY-ID"]=new Array(Qn+1).join(".");const Ta=new $a(be);D[wn]=Ta,E.push(Ta)}else D[wn].addGroupId("audio",Ge.AUDIO),D[wn].addGroupId("text",Ge.SUBTITLES);else{const Qn=new $a(be);D[wn]=Qn,N[wn]=1,E.push(Qn)}}),this.filterAndSortMediaOptions(E,a,W,oe,he)}filterAndSortMediaOptions(r,a,_,E,D){let N=[],W=[],oe=r;if((_||E)&&D&&(oe=oe.filter(({videoCodec:Xe,videoRange:lt,width:vt,height:Qt})=>(!!Xe||!!(vt&&Qt))&&qa(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||mi(lt.audioCodec,"audio",Xe)),ss(N)}a.subtitles&&(W=a.subtitles,ss(W));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=ii(Xe.videoCodec),Qt=ii(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===I.abrEwmaDefaultEstimate&&(this.hls.bandwidthEstimate=Qt)}break}const De=D&&!E,Ge={levels:oe,audioTracks:N,subtitleTracks:W,sessionData:a.sessionData,sessionKeys:a.sessionKeys,firstLevel:this._firstLevel,stats:a.stats,audio:D,video:E,altAudio:!De&&N.some(Xe=>!!Xe.url)};this.hls.trigger(l.MANIFEST_PARSED,Ge),(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,D=E?E.attrs["PATHWAY-ID"]:void 0,N=a[r],W=N.attrs["PATHWAY-ID"];if(this.currentLevelIndex=r,this.currentLevel=N,_===r&&N.details&&E&&D===W)return;this.log(`Switching to level ${r} (${N.height?N.height+"p ":""}${N.videoRange?N.videoRange+" ":""}${N.codecSet?N.codecSet+" ":""}@${N.bitrate})${W?" with Pathway "+W:""} from level ${_}${D?" with Pathway "+D:""}`);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(D=>!!_[D]))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:D}=a,N=this._levels[E];if(!N){var W;this.warn(`Invalid level index ${E}`),(W=a.deliveryDirectives)!=null&&W.skip&&(D.deltaUpdateFailed=!0);return}E===this.currentLevelIndex?(N.fragmentError===0&&(N.loadError=0),this.playlistLoaded(E,a,N.details)):(_=a.deliveryDirectives)!=null&&_.skip&&(D.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 D=_.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${D?" Pathway "+D:""} ${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,D)=>D!==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));Ua(_),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 ss(j){const r={};j.forEach(a=>{const _=a.groupId||"";a.id=r[_]=r[_]||0,r[_]++})}class eo{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,D){return new Bi({type:b.NETWORK_ERROR,details:a,fatal:!1,frag:r,response:D,error:_,networkDetails:E})}loadClear(r,a){if(this.emeController&&this.config.emeEnabled){const{sn:_,cc:E}=r;for(let D=0;D<a.length;D++){const N=a[D];if(E<=N.cc&&(_==="initSegment"||N.sn==="initSegment"||_<N.sn)){this.emeController.selectKeySystemFormat(N).then(W=>{N.setKeyFormat(W)});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 D=r.decryptdata;if(!D){const he=new Error(a?`Expected frag.decryptdata to be defined after setting format ${a}`:"Missing decryption data on fragment in onKeyLoading");return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,he))}const N=D.uri;if(!N)return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,new Error(`Invalid key URI: "${N}"`)));let W=this.keyUriToKeyInfo[N];if((_=W)!=null&&_.decryptdata.key)return D.key=W.decryptdata.key,Promise.resolve({frag:r,keyInfo:W});if((E=W)!=null&&E.keyLoadPromise){var oe;switch((oe=W.mediaKeySessionContext)==null?void 0:oe.keyStatus){case void 0:case"status-pending":case"usable":case"usable-in-future":return W.keyLoadPromise.then(he=>(D.key=he.keyInfo.decryptdata.key,{frag:r,keyInfo:W}))}}switch(W=this.keyUriToKeyInfo[N]={decryptdata:D,keyLoadPromise:null,loader:null,mediaKeySessionContext:null},D.method){case"ISO-23001-7":case"SAMPLE-AES":case"SAMPLE-AES-CENC":case"SAMPLE-AES-CTR":return D.keyFormat==="identity"?this.loadKeyHTTP(W,r):this.loadKeyEME(W,r);case"AES-128":return this.loadKeyHTTP(W,r);default:return Promise.reject(this.createKeyLoadError(r,x.KEY_LOAD_ERROR,new Error(`Key supplied with unsupported METHOD: "${D.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(D=>(r.mediaKeySessionContext=D,_))).catch(D=>{throw r.keyLoadPromise=null,D})}return Promise.resolve(_)}loadKeyHTTP(r,a){const _=this.config,E=_.loader,D=new E(_);return a.keyLoader=r.loader=D,r.keyLoadPromise=new Promise((N,W)=>{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,Ge,Xe,lt)=>{const{frag:vt,keyInfo:Qt,url:yr}=Xe;if(!vt.decryptdata||Qt!==this.keyUriToKeyInfo[yr])return W(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,Ge,Xe,lt)=>{this.resetLoader(Ge),W(this.createKeyLoadError(a,x.KEY_LOAD_ERROR,new Error(`HTTP Error ${De.code} loading key ${De.text}`),Xe,f({url:oe.url,data:void 0},De)))},onTimeout:(De,Ge,Xe)=>{this.resetLoader(Ge),W(this.createKeyLoadError(a,x.KEY_LOAD_TIMEOUT,new Error("key loading timed out"),Xe))},onAbort:(De,Ge,Xe)=>{this.resetLoader(Ge),W(this.createKeyLoadError(a,x.INTERNAL_ABORTED,new Error("key loading aborted"),Xe))}};D.load(oe,be,Se)})}resetLoader(r){const{frag:a,keyInfo:_,url:E}=r,D=_.loader;a.keyLoader===D&&(a.keyLoader=null,_.loader=null),delete this.keyUriToKeyInfo[E],D&&D.destroy()}}function si(){return self.SourceBuffer||self.WebKitSourceBuffer}function Ss(){if(!ni())return!1;const r=si();return!r||r.prototype&&typeof r.prototype.appendBuffer=="function"&&typeof r.prototype.remove=="function"}function Zo(){if(!Ss())return!1;const j=ni();return typeof(j==null?void 0:j.isTypeSupported)=="function"&&(["avc1.42E01E,mp4a.40.2","av01.0.01M.08","vp09.00.50.08"].some(r=>j.isTypeSupported(aa(r,"video")))||["mp4a.40.2","fLaC"].some(r=>j.isTypeSupported(aa(r,"audio"))))}function Hs(){var j;const r=si();return typeof(r==null||(j=r.prototype)==null?void 0:j.changeType)=="function"}const ho=250,$u=2,Nl=.1,$l=.05;class dc{constructor(r,a,_,E){this.config=void 0,this.media=null,this.fragmentTracker=void 0,this.hls=void 0,this.nudgeRetry=0,this.stallReported=!1,this.stalled=null,this.moved=!1,this.seeking=!1,this.config=r,this.media=a,this.fragmentTracker=_,this.hls=E}destroy(){this.media=null,this.hls=this.fragmentTracker=null}poll(r,a){const{config:_,media:E,stalled:D}=this;if(E===null)return;const{currentTime:N,seeking:W}=E,oe=this.seeking&&!W,he=!this.seeking&&W;if(this.seeking=W,N!==r){if(this.moved=!0,W||(this.nudgeRetry=0),D!==null){if(this.stallReported){const vt=self.performance.now()-D;R.warn(`playback not stuck anymore @${N}, after ${Math.round(vt)}ms`),this.stallReported=!1}this.stalled=null}return}if(he||oe){this.stalled=null;return}if(E.paused&&!W||E.ended||E.playbackRate===0||!pr.getBuffered(E).length){this.nudgeRetry=0;return}const be=pr.bufferInfo(E,N,0),Se=be.nextStart||0;if(W){const vt=be.len>$u,Qt=!Se||a&&a.start<=N||Se-N>$u&&!this.fragmentTracker.getPartialFragment(N);if(vt||Qt)return;this.moved=!1}if(!this.moved&&this.stalled!==null){var De;if(!(be.len>0)&&!Se)return;const Qt=Math.max(Se,be.start||0)-N,yr=this.hls.levels?this.hls.levels[this.hls.currentLevel]:null,Wr=(yr==null||(De=yr.details)==null?void 0:De.live)?yr.details.targetduration*2:$u,$r=this.fragmentTracker.getPartialFragment(N);if(Qt>0&&(Qt<=Wr||$r)){E.paused||this._trySkipBufferHole($r);return}}const Ge=self.performance.now();if(D===null){this.stalled=Ge;return}const Xe=Ge-D;if(!W&&Xe>=ho&&(this._reportStall(be),!this.media))return;const lt=pr.bufferInfo(E,N,_.maxBufferHole);this._tryFixBufferStall(lt,Xe)}_tryFixBufferStall(r,a){const{config:_,fragmentTracker:E,media:D}=this;if(D===null)return;const N=D.currentTime,W=E.getPartialFragment(N);W&&(this._trySkipBufferHole(W)||!this.media)||(r.len>_.maxBufferHole||r.nextStart&&r.nextStart-N<_.maxBufferHole)&&a>_.highBufferWatchdogPeriod*1e3&&(R.warn("Trying to nudge playhead over buffer-hole"),this.stalled=null,this._tryNudgeBuffer())}_reportStall(r){const{hls:a,media:_,stallReported:E}=this;if(!E&&_){this.stallReported=!0;const D=new Error(`Playback stalling at @${_.currentTime} due to low buffer (${JSON.stringify(r)})`);R.warn(D.message),a.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_STALLED_ERROR,fatal:!1,error:D,buffer:r.len})}}_trySkipBufferHole(r){const{config:a,hls:_,media:E}=this;if(E===null)return 0;const D=E.currentTime,N=pr.bufferInfo(E,D,0),W=D<N.start?N.start:N.nextStart;if(W){const oe=N.len<=a.maxBufferHole,he=N.len>0&&N.len<1&&E.readyState<3,be=W-D;if(be>0&&(oe||he)){if(be>a.maxBufferHole){const{fragmentTracker:De}=this;let Ge=!1;if(D===0){const Xe=De.getAppendedFrag(0,Ye.MAIN);Xe&&W<Xe.end&&(Ge=!0)}if(!Ge){const Xe=r||De.getAppendedFrag(D,Ye.MAIN);if(Xe){let lt=!1,vt=Xe.end;for(;vt<W;){const Qt=De.getPartialFragment(vt);if(Qt)vt+=Qt.duration;else{lt=!0;break}}if(lt)return 0}}}const Se=Math.max(W+$l,D+Nl);if(R.warn(`skipping hole, adjusting currentTime from ${D} 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 ${D} 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 D=_.currentTime;if(this.nudgeRetry++,E<r.nudgeMaxRetry){const N=D+(E+1)*r.nudgeOffset,W=new Error(`Nudging 'currentTime' from ${D} to ${N}`);R.warn(W.message),_.currentTime=N,a.trigger(l.ERROR,{type:b.MEDIA_ERROR,details:x.BUFFER_NUDGE_ON_STALL,error:W,fatal:!1})}else{const N=new Error(`Playhead still not moving while enough data buffered @${D} 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 Xu=100;class ju extends To{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(Xu),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=hn.IDLE,this.nextLoadPosition=this.startPosition=this.lastCurrentTime=r,this.tick()}else this._forceStartLoad=!0,this.state=hn.STOPPED}stopLoad(){this._forceStartLoad=!1,super.stopLoad()}doTick(){switch(this.state){case hn.WAITING_LEVEL:{const{levels:a,level:_}=this,E=a==null?void 0:a[_],D=E==null?void 0:E.details;if(D&&(!D.live||this.levelLastLoaded===E)){if(this.waitForCdnTuneIn(D))break;this.state=hn.IDLE;break}else if(this.hls.nextLoadLevel!==this.level){this.state=hn.IDLE;break}break}case hn.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:D}=this,N=E==null?void 0:E[D];this.resetStartWhenNotLoaded(N||null),this.state=hn.IDLE}}break}this.state===hn.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 D=this.buffering?r.nextLoadLevel:r.loadLevel;if(!(_!=null&&_[D]))return;const N=_[D],W=this.getMainFwdBufferInfo();if(W===null)return;const oe=this.getLevelDetails();if(oe&&this._streamEnded(W,oe)){const lt={};this.altAudio&&(lt.type="video"),this.hls.trigger(l.BUFFER_EOS,lt),this.state=hn.ENDED;return}if(!this.buffering)return;r.loadLevel!==D&&r.manualLevel===-1&&this.log(`Adapting to level ${D} from level ${this.level}`),this.level=r.nextLoadLevel=D;const he=N.details;if(!he||this.state===hn.WAITING_LEVEL||he.live&&this.levelLastLoaded!==N){this.level=D,this.state=hn.WAITING_LEVEL;return}const be=W.len,Se=this.getMaxBufferLength(N.maxBitrate);if(be>=Se)return;this.backtrackFragment&&this.backtrackFragment.start>W.end&&(this.backtrackFragment=null);const De=this.backtrackFragment?this.backtrackFragment.start:W.end;let Ge=this.getNextFragment(De,he);if(this.couldBacktrack&&!this.fragPrevious&&Ge&&Ge.sn!=="initSegment"&&this.fragmentTracker.getState(Ge)!==Ns.OK){var Xe;const vt=((Xe=this.backtrackFragment)!=null?Xe:Ge).sn-he.startSN,Qt=he.fragments[vt-1];Qt&&Ge.cc===Qt.cc&&(Ge=Qt,this.fragmentTracker.removeFragment(Qt))}else this.backtrackFragment&&W.len&&(this.backtrackFragment=null);if(Ge&&this.isLoopLoading(Ge,De)){if(!Ge.gap){const vt=this.audioOnly&&!this.altAudio?V.AUDIO:V.VIDEO,Qt=(vt===V.VIDEO?this.videoBuffer:this.mediaBuffer)||this.media;Qt&&this.afterBufferFlushed(Qt,vt,Ye.MAIN)}Ge=this.getNextFragmentLoopLoading(Ge,he,W,Ye.MAIN,Se)}Ge&&(Ge.initSegment&&!Ge.initSegment.data&&!this.bitrateTest&&(Ge=Ge.initSegment),this.loadFragment(Ge,N,De))}loadFragment(r,a,_){const E=this.fragmentTracker.getState(r);this.fragCurrent=r,E===Ns.NOT_LOADED||E===Ns.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 D=this.getLevelDetails();if(D!=null&&D.live){const W=this.getMainFwdBufferInfo();if(!W||W.len<D.targetduration*2)return}if(!a.paused&&r){const W=this.hls.nextLoadLevel,oe=r[W],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 W=this.followingBufferedFrag(N);if(W){this.abortCurrentFrag();const oe=W.maxStartPTS?W.maxStartPTS:W.start,he=W.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 hn.KEY_LOADING:case hn.FRAG_LOADING:case hn.FRAG_LOADING_WAITING_RETRY:case hn.PARSING:case hn.PARSED:this.state=hn.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 dc(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(D=>{const N=D.audioCodec;N&&(_=_||N.indexOf("mp4a.40.2")!==-1,E=E||N.indexOf("mp4a.40.5")!==-1)}),this.audioCodecSwitch=_&&E&&!Hs(),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!==hn.IDLE)return;const E=_[a.level];(!E.details||E.details.live&&this.levelLastLoaded!==E||this.waitForCdnTuneIn(E.details))&&(this.state=hn.WAITING_LEVEL)}onLevelLoaded(r,a){var _;const{levels:E}=this,D=a.level,N=a.details,W=N.totalduration;if(!E){this.warn(`Levels were reset while loading level ${D}`);return}this.log(`Level ${D} loaded [${N.startSN},${N.endSN}]${N.lastPartSn?`[part-${N.lastPartSn}-${N.lastPartIndex}]`:""}, cc [${N.startCC}, ${N.endCC}] duration:${W}`);const oe=E[D],he=this.fragCurrent;he&&(this.state===hn.FRAG_LOADING||this.state===hn.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:D}),this.state===hn.WAITING_LEVEL){if(this.waitForCdnTuneIn(N))return;this.state=hn.IDLE}this.startFragRequested?N.live&&this.synchronizeToLiveEdge(N):this.setStartPosition(N,be),this.tick()}_handleFragmentLoadProgress(r){var a;const{frag:_,part:E,payload:D}=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 W=N[_.level],oe=W.details;if(!oe){this.warn(`Dropping fragment ${_.sn} of level ${_.level} after level details were reset`),this.fragmentTracker.removeFragment(_);return}const he=W.videoCodec,be=oe.PTSKnown||!oe.live,Se=(a=_.initSegment)==null?void 0:a.data,De=this._getAudioCodec(W),Ge=this.transmuxer=this.transmuxer||new Vn(this.hls,Ye.MAIN,this._handleTransmuxComplete.bind(this),this._handleTransmuxerFlush.bind(this)),Xe=E?E.index:-1,lt=Xe!==-1,vt=new _n(_.level,_.sn,_.stats.chunkCount,D.byteLength,Xe,lt),Qt=this.initPTS[_.cc];Ge.push(D,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 D=this.hls;_&&(D.trigger(l.BUFFER_FLUSHING,{startOffset:0,endOffset:Number.POSITIVE_INFINITY,type:null}),this.fragmentTracker.removeAllFragments()),D.trigger(l.AUDIO_TRACK_SWITCHED,a)}}onAudioTrackSwitched(r,a){const _=a.id,E=!!this.hls.audioTracks[_].url;if(E){const D=this.videoBuffer;D&&this.mediaBuffer!==D&&(this.log("Switching on alternate audio, use video.buffered to schedule main fragment loading"),this.mediaBuffer=D)}this.altAudio=E,this.tick()}onBufferCreated(r,a){const _=a.tracks;let E,D,N=!1;for(const W in _){const oe=_[W];if(oe.id==="main"){if(D=W,E=oe,W==="video"){const he=_[W];he&&(this.videoBuffer=he.buffer)}}else N=!0}N&&E?(this.log(`Alternate track found, use ${D}.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===hn.PARSED&&(this.state=hn.IDLE);return}const D=E?E.stats:_.stats;this.fragLastKbps=Math.round(8*D.total/(D.buffering.end-D.loading.first)),_.sn!=="initSegment"&&(this.fragPrevious=_),this.fragBufferedComplete(_,E)}onError(r,a){var _;if(a.fatal){this.state=hn.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===hn.WAITING_LEVEL&&((_=a.context)==null?void 0:_.type)===ye.LEVEL&&(this.state=hn.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||!pr.getBuffered(r).length){const _=this.state!==hn.IDLE?this.fragCurrent:null;a.poll(this.lastCurrentTime,_)}this.lastCurrentTime=r.currentTime}}onFragLoadEmergencyAborted(){this.state=hn.IDLE,this.loadedmetadata||(this.startFragRequested=!1,this.nextLoadPosition=this.startPosition),this.tickImmediate()}onBufferFlushed(r,{type:a}){if(a!==V.AUDIO||this.audioOnly&&!this.altAudio){const _=(a===V.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=pr.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 ${a}`),r.currentTime=_}}_getAudioCodec(r){let a=this.config.defaultAudioCodec||r.audioCodec;return this.audioCodecSwap&&a&&(this.log("Swapping audio codec"),a.indexOf("mp4a.40.5")!==-1?a="mp4a.40.2":a="mp4a.40.5"),a}_loadBitrateTestFrag(r,a){r.bitrateTest=!0,this._doFragLoad(r,a).then(_=>{const{hls:E}=this;if(!_||this.fragContextChanged(r))return;a.fragmentError=0,this.state=hn.IDLE,this.startFragRequested=!1,this.bitrateTest=!1;const D=r.stats;D.parsing.start=D.parsing.end=D.buffering.start=D.buffering.end=self.performance.now(),E.trigger(l.FRAG_LOADED,_),r.bitrateTest=!1})}_handleTransmuxComplete(r){var a;const _="main",{hls:E}=this,{remuxResult:D,chunkMeta:N}=r,W=this.getCurrentContext(N);if(!W){this.resetWhenMissingContext(N);return}const{frag:oe,part:he,level:be}=W,{video:Se,text:De,id3:Ge,initSegment:Xe}=D,{details:lt}=be,vt=this.altAudio?void 0:D.audio;if(this.fragContextChanged(oe)){this.fragmentTracker.removeFragment(oe);return}if(this.state=hn.PARSING,Xe){if(Xe!=null&&Xe.tracks){const Pr=oe.initSegment||oe;this._bufferInitSegment(be,Xe.tracks,Pr,N),E.trigger(l.FRAG_PARSING_INIT_SEGMENT,{frag:Pr,id:_,tracks:Xe.tracks})}const Qt=Xe.initPTS,yr=Xe.timescale;y(Qt)&&(this.initPTS[oe.cc]={baseTime:Qt,timescale:yr},E.trigger(l.INIT_PTS_FOUND,{frag:oe,id:_,initPTS:Qt,timescale:yr}))}if(Se&&lt&&oe.sn!=="initSegment"){const Qt=lt.fragments[oe.sn-1-lt.startSN],yr=oe.sn===lt.startSN,Pr=!Qt||oe.cc>Qt.cc;if(D.independent!==!1){const{startPTS:Wr,endPTS:$r,startDTS:En,endDTS:un}=Se;if(he)he.elementaryStreams[Se.type]={startPTS:Wr,endPTS:$r,startDTS:En,endDTS:un};else if(Se.firstKeyFrame&&Se.independent&&N.id===1&&!Pr&&(this.couldBacktrack=!0),Se.dropped&&Se.independent){const Un=this.getMainFwdBufferInfo(),oi=(Un?Un.end:this.getLoadPosition())+this.config.maxBufferHole,wn=Se.firstKeyFramePTS?Se.firstKeyFramePTS:Wr;if(!yr&&oi<wn-this.config.maxBufferHole&&!Pr){this.backtrack(oe);return}else Pr&&(oe.gap=!0);oe.setElementaryStreamInfo(Se.type,oe.start,$r,oe.start,un,!0)}else yr&&Wr>$u&&(oe.gap=!0);oe.setElementaryStreamInfo(Se.type,Wr,$r,En,un),this.backtrackFragment&&(this.backtrackFragment=oe),this.bufferFragmentData(Se,oe,he,N,yr||Pr)}else if(yr||Pr)oe.gap=!0;else{this.backtrack(oe);return}}if(vt){const{startPTS:Qt,endPTS:yr,startDTS:Pr,endDTS:Wr}=vt;he&&(he.elementaryStreams[V.AUDIO]={startPTS:Qt,endPTS:yr,startDTS:Pr,endDTS:Wr}),oe.setElementaryStreamInfo(V.AUDIO,Qt,yr,Pr,Wr),this.bufferFragmentData(vt,oe,he,N)}if(lt&&Ge!=null&&(a=Ge.samples)!=null&&a.length){const Qt={id:_,frag:oe,details:lt,samples:Ge.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!==hn.PARSING)return;this.audioOnly=!!a.audio&&!a.video,this.altAudio&&!this.audioOnly&&delete a.audio;const{audio:D,video:N,audiovideo:W}=a;if(D){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=D.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&&D.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 "${oe}"`),D.levelCodec=oe,D.id="main",this.log(`Init audio buffer, container:${D.container}, codecs[selected/level/parsed]=[${oe||""}/${r.audioCodec||""}/${D.codec}]`)}N&&(N.levelCodec=r.videoCodec,N.id="main",this.log(`Init video buffer, container:${N.container}, codecs[level/parsed]=[${r.videoCodec||""}/${N.codec}]`)),W&&this.log(`Init audiovideo buffer, container:${W.container}, codecs[level/parsed]=[${r.codecs}/${W.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=hn.IDLE}checkFragmentChanged(){const r=this.media;let a=null;if(r&&r.readyState>1&&r.seeking===!1){const _=r.currentTime;if(pr.isBuffered(r,_)?a=this.getAppendedFrag(_):pr.isBuffered(r,_+.1)&&(a=this.getAppendedFrag(_+.1)),a){this.backtrackFragment=null;const E=this.fragPlaying,D=a.level;(!E||a.sn!==E.sn||E.level!==D)&&(this.fragPlaying=a,this.hls.trigger(l.FRAG_CHANGED,{frag:a}),(!E||E.level!==D)&&this.hls.trigger(l.LEVEL_SWITCHED,{level:D}))}}}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 Du{static get version(){return"1.5.20"}static isMSESupported(){return Ss()}static isSupported(){return Zo()}static getMediaSource(){return ni()}static get Events(){return l}static get ErrorTypes(){return b}static get ErrorDetails(){return x}static get DefaultConfig(){return Du.defaultConfig?Du.defaultConfig:I}static set DefaultConfig(r){Du.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 Fn,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=je(Du.DefaultConfig,r);this.userConfig=r,a.progressive&&ui(a);const{abrController:_,bufferController:E,capLevelController:D,errorController:N,fpsController:W}=a,oe=new N(this),he=this.abrController=new _(this),be=this.bufferController=new E(this),Se=this.capLevelController=new D(this),De=new W(this),Ge=new Or(this),Xe=new la(this),lt=a.contentSteeringController,vt=lt?new lt(this):null,Qt=this.levelController=new Zi(this,vt),yr=new qt(this),Pr=new eo(this.config),Wr=this.streamController=new ju(this,yr,Pr);Se.setStreamController(Wr),De.setStreamController(Wr);const $r=[Ge,Qt,Wr];vt&&$r.splice(1,0,vt),this.networkControllers=$r;const En=[he,be,Se,De,Xe,yr];this.audioTrackController=this.createController(a.audioTrackController,$r);const un=a.audioStreamController;un&&$r.push(new un(this,yr,Pr)),this.subtitleTrackController=this.createController(a.subtitleTrackController,$r);const Un=a.subtitleStreamController;Un&&$r.push(new Un(this,yr,Pr)),this.createController(a.timelineController,En),Pr.emeController=this.emeController=this.createController(a.emeController,En),this.cmcdController=this.createController(a.cmcdController,En),this.latencyController=this.createController(Is,En),this.coreComponents=En,$r.push(oe);const oi=oe.onErrorOut;typeof oi=="function"&&this.on(l.ERROR,oi,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 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