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a=t[0],s=t[1],o=t[2],l=t[3],c=a+a,u=s+s,h=o+o,d=a*c,f=a*u,v=a*h,g=s*u,p=s*h,y=o*h,b=l*c,w=l*u,O=l*h,_=n[0],F=n[1],W=n[2],j=i[0],H=i[1],K=i[2],et=(1-(g+y))*_,rt=(f+O)*_,lt=(v-w)*_,ht=(f-O)*F,yt=(1-(d+y))*F,Nt=(p+b)*F,Ct=(v+w)*W,pt=(p-b)*W,xt=(1-(d+g))*W;return r[0]=et,r[1]=rt,r[2]=lt,r[3]=0,r[4]=ht,r[5]=yt,r[6]=Nt,r[7]=0,r[8]=Ct,r[9]=pt,r[10]=xt,r[11]=0,r[12]=e[0]+j-(et*j+ht*H+Ct*K),r[13]=e[1]+H-(rt*j+yt*H+pt*K),r[14]=e[2]+K-(lt*j+Nt*H+xt*K),r[15]=1,r}function Wo(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=e+e,o=n+n,l=i+i,c=e*s,u=n*s,h=n*o,d=i*s,f=i*o,v=i*l,g=a*s,p=a*o,y=a*l;return r[0]=1-h-v,r[1]=u+y,r[2]=d-p,r[3]=0,r[4]=u-y,r[5]=1-c-v,r[6]=f+g,r[7]=0,r[8]=d+p,r[9]=f-g,r[10]=1-c-h,r[11]=0,r[12]=0,r[13]=0,r[14]=0,r[15]=1,r}function bd(r,t,e,n,i,a,s){var o=1/(e-t),l=1/(i-n),c=1/(a-s);return r[0]=a*2*o,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=a*2*l,r[6]=0,r[7]=0,r[8]=(e+t)*o,r[9]=(i+n)*l,r[10]=(s+a)*c,r[11]=-1,r[12]=0,r[13]=0,r[14]=s*a*2*c,r[15]=0,r}function Kl(r,t,e,n,i){var a=1/Math.tan(t/2);if(r[0]=a/e,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=a,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[11]=-1,r[12]=0,r[13]=0,r[15]=0,i!=null&&i!==1/0){var s=1/(n-i);r[10]=(i+n)*s,r[14]=2*i*n*s}else r[10]=-1,r[14]=-2*n;return r}var xd=Kl;function iw(r,t,e,n,i){var a=1/Math.tan(t/2);if(r[0]=a/e,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=a,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[11]=-1,r[12]=0,r[13]=0,r[15]=0,i!=null&&i!==1/0){var s=1/(n-i);r[10]=i*s,r[14]=i*n*s}else r[10]=-1,r[14]=-n;return r}function aw(r,t,e,n){var i=Math.tan(t.upDegrees*Math.PI/180),a=Math.tan(t.downDegrees*Math.PI/180),s=Math.tan(t.leftDegrees*Math.PI/180),o=Math.tan(t.rightDegrees*Math.PI/180),l=2/(s+o),c=2/(i+a);return r[0]=l,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=c,r[6]=0,r[7]=0,r[8]=-((s-o)*l*.5),r[9]=(i-a)*c*.5,r[10]=n/(e-n),r[11]=-1,r[12]=0,r[13]=0,r[14]=n*e/(e-n),r[15]=0,r}function ng(r,t,e,n,i,a,s){var o=1/(t-e),l=1/(n-i),c=1/(a-s);return r[0]=-2*o,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=-2*l,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[10]=2*c,r[11]=0,r[12]=(t+e)*o,r[13]=(i+n)*l,r[14]=(s+a)*c,r[15]=1,r}var rg=ng;function ig(r,t,e,n,i,a,s){var o=1/(t-e),l=1/(n-i),c=1/(a-s);return r[0]=-2*o,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=-2*l,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[10]=c,r[11]=0,r[12]=(t+e)*o,r[13]=(i+n)*l,r[14]=a*c,r[15]=1,r}function ag(r,t,e,n){var i,a,s,o,l,c,u,h,d,f,v=t[0],g=t[1],p=t[2],y=n[0],b=n[1],w=n[2],O=e[0],_=e[1],F=e[2];return Math.abs(v-O)0&&(f=1/Math.sqrt(f),u*=f,h*=f,d*=f);var v=l*d-c*h,g=c*u-o*d,p=o*h-l*u;return f=v*v+g*g+p*p,f>0&&(f=1/Math.sqrt(f),v*=f,g*=f,p*=f),r[0]=v,r[1]=g,r[2]=p,r[3]=0,r[4]=h*p-d*g,r[5]=d*v-u*p,r[6]=u*g-h*v,r[7]=0,r[8]=u,r[9]=h,r[10]=d,r[11]=0,r[12]=i,r[13]=a,r[14]=s,r[15]=1,r}function ow(r){return"mat4("+r[0]+", "+r[1]+", "+r[2]+", "+r[3]+", "+r[4]+", "+r[5]+", "+r[6]+", "+r[7]+", "+r[8]+", "+r[9]+", "+r[10]+", "+r[11]+", "+r[12]+", "+r[13]+", "+r[14]+", "+r[15]+")"}function lw(r){return Math.sqrt(r[0]*r[0]+r[1]*r[1]+r[2]*r[2]+r[3]*r[3]+r[4]*r[4]+r[5]*r[5]+r[6]*r[6]+r[7]*r[7]+r[8]*r[8]+r[9]*r[9]+r[10]*r[10]+r[11]*r[11]+r[12]*r[12]+r[13]*r[13]+r[14]*r[14]+r[15]*r[15])}function cw(r,t,e){return r[0]=t[0]+e[0],r[1]=t[1]+e[1],r[2]=t[2]+e[2],r[3]=t[3]+e[3],r[4]=t[4]+e[4],r[5]=t[5]+e[5],r[6]=t[6]+e[6],r[7]=t[7]+e[7],r[8]=t[8]+e[8],r[9]=t[9]+e[9],r[10]=t[10]+e[10],r[11]=t[11]+e[11],r[12]=t[12]+e[12],r[13]=t[13]+e[13],r[14]=t[14]+e[14],r[15]=t[15]+e[15],r}function sg(r,t,e){return r[0]=t[0]-e[0],r[1]=t[1]-e[1],r[2]=t[2]-e[2],r[3]=t[3]-e[3],r[4]=t[4]-e[4],r[5]=t[5]-e[5],r[6]=t[6]-e[6],r[7]=t[7]-e[7],r[8]=t[8]-e[8],r[9]=t[9]-e[9],r[10]=t[10]-e[10],r[11]=t[11]-e[11],r[12]=t[12]-e[12],r[13]=t[13]-e[13],r[14]=t[14]-e[14],r[15]=t[15]-e[15],r}function uw(r,t,e){return r[0]=t[0]*e,r[1]=t[1]*e,r[2]=t[2]*e,r[3]=t[3]*e,r[4]=t[4]*e,r[5]=t[5]*e,r[6]=t[6]*e,r[7]=t[7]*e,r[8]=t[8]*e,r[9]=t[9]*e,r[10]=t[10]*e,r[11]=t[11]*e,r[12]=t[12]*e,r[13]=t[13]*e,r[14]=t[14]*e,r[15]=t[15]*e,r}function hw(r,t,e,n){return r[0]=t[0]+e[0]*n,r[1]=t[1]+e[1]*n,r[2]=t[2]+e[2]*n,r[3]=t[3]+e[3]*n,r[4]=t[4]+e[4]*n,r[5]=t[5]+e[5]*n,r[6]=t[6]+e[6]*n,r[7]=t[7]+e[7]*n,r[8]=t[8]+e[8]*n,r[9]=t[9]+e[9]*n,r[10]=t[10]+e[10]*n,r[11]=t[11]+e[11]*n,r[12]=t[12]+e[12]*n,r[13]=t[13]+e[13]*n,r[14]=t[14]+e[14]*n,r[15]=t[15]+e[15]*n,r}function Ed(r,t){return r[0]===t[0]&&r[1]===t[1]&&r[2]===t[2]&&r[3]===t[3]&&r[4]===t[4]&&r[5]===t[5]&&r[6]===t[6]&&r[7]===t[7]&&r[8]===t[8]&&r[9]===t[9]&&r[10]===t[10]&&r[11]===t[11]&&r[12]===t[12]&&r[13]===t[13]&&r[14]===t[14]&&r[15]===t[15]}function dw(r,t){var e=r[0],n=r[1],i=r[2],a=r[3],s=r[4],o=r[5],l=r[6],c=r[7],u=r[8],h=r[9],d=r[10],f=r[11],v=r[12],g=r[13],p=r[14],y=r[15],b=t[0],w=t[1],O=t[2],_=t[3],F=t[4],W=t[5],j=t[6],H=t[7],K=t[8],et=t[9],rt=t[10],lt=t[11],ht=t[12],yt=t[13],Nt=t[14],Ct=t[15];return Math.abs(e-b)<=Z*Math.max(1,Math.abs(e),Math.abs(b))&&Math.abs(n-w)<=Z*Math.max(1,Math.abs(n),Math.abs(w))&&Math.abs(i-O)<=Z*Math.max(1,Math.abs(i),Math.abs(O))&&Math.abs(a-_)<=Z*Math.max(1,Math.abs(a),Math.abs(_))&&Math.abs(s-F)<=Z*Math.max(1,Math.abs(s),Math.abs(F))&&Math.abs(o-W)<=Z*Math.max(1,Math.abs(o),Math.abs(W))&&Math.abs(l-j)<=Z*Math.max(1,Math.abs(l),Math.abs(j))&&Math.abs(c-H)<=Z*Math.max(1,Math.abs(c),Math.abs(H))&&Math.abs(u-K)<=Z*Math.max(1,Math.abs(u),Math.abs(K))&&Math.abs(h-et)<=Z*Math.max(1,Math.abs(h),Math.abs(et))&&Math.abs(d-rt)<=Z*Math.max(1,Math.abs(d),Math.abs(rt))&&Math.abs(f-lt)<=Z*Math.max(1,Math.abs(f),Math.abs(lt))&&Math.abs(v-ht)<=Z*Math.max(1,Math.abs(v),Math.abs(ht))&&Math.abs(g-yt)<=Z*Math.max(1,Math.abs(g),Math.abs(yt))&&Math.abs(p-Nt)<=Z*Math.max(1,Math.abs(p),Math.abs(Nt))&&Math.abs(y-Ct)<=Z*Math.max(1,Math.abs(y),Math.abs(Ct))}var og=Jt,fw=sg;function lg(){var r=new Y(9);return Y!=Float32Array&&(r[1]=0,r[2]=0,r[3]=0,r[5]=0,r[6]=0,r[7]=0),r[0]=1,r[4]=1,r[8]=1,r}function vw(r,t){return r[0]=t[0],r[1]=t[1],r[2]=t[2],r[3]=t[4],r[4]=t[5],r[5]=t[6],r[6]=t[8],r[7]=t[9],r[8]=t[10],r}function BB(r){var t=new glMatrix.ARRAY_TYPE(9);return t[0]=r[0],t[1]=r[1],t[2]=r[2],t[3]=r[3],t[4]=r[4],t[5]=r[5],t[6]=r[6],t[7]=r[7],t[8]=r[8],t}function FB(r,t){return r[0]=t[0],r[1]=t[1],r[2]=t[2],r[3]=t[3],r[4]=t[4],r[5]=t[5],r[6]=t[6],r[7]=t[7],r[8]=t[8],r}function gw(r,t,e,n,i,a,s,o,l){var c=new Y(9);return c[0]=r,c[1]=t,c[2]=e,c[3]=n,c[4]=i,c[5]=a,c[6]=s,c[7]=o,c[8]=l,c}function zB(r,t,e,n,i,a,s,o,l,c){return r[0]=t,r[1]=e,r[2]=n,r[3]=i,r[4]=a,r[5]=s,r[6]=o,r[7]=l,r[8]=c,r}function jB(r){return r[0]=1,r[1]=0,r[2]=0,r[3]=0,r[4]=1,r[5]=0,r[6]=0,r[7]=0,r[8]=1,r}function ZB(r,t){if(r===t){var e=t[1],n=t[2],i=t[5];r[1]=t[3],r[2]=t[6],r[3]=e,r[5]=t[7],r[6]=n,r[7]=i}else r[0]=t[0],r[1]=t[3],r[2]=t[6],r[3]=t[1],r[4]=t[4],r[5]=t[7],r[6]=t[2],r[7]=t[5],r[8]=t[8];return r}function WB(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=t[4],o=t[5],l=t[6],c=t[7],u=t[8],h=u*s-o*c,d=-u*a+o*l,f=c*a-s*l,v=e*h+n*d+i*f;return v?(v=1/v,r[0]=h*v,r[1]=(-u*n+i*c)*v,r[2]=(o*n-i*s)*v,r[3]=d*v,r[4]=(u*e-i*l)*v,r[5]=(-o*e+i*a)*v,r[6]=f*v,r[7]=(-c*e+n*l)*v,r[8]=(s*e-n*a)*v,r):null}function GB(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=t[4],o=t[5],l=t[6],c=t[7],u=t[8];return r[0]=s*u-o*c,r[1]=i*c-n*u,r[2]=n*o-i*s,r[3]=o*l-a*u,r[4]=e*u-i*l,r[5]=i*a-e*o,r[6]=a*c-s*l,r[7]=n*l-e*c,r[8]=e*s-n*a,r}function VB(r){var t=r[0],e=r[1],n=r[2],i=r[3],a=r[4],s=r[5],o=r[6],l=r[7],c=r[8];return t*(c*a-s*l)+e*(-c*i+s*o)+n*(l*i-a*o)}function UB(r,t,e){var n=t[0],i=t[1],a=t[2],s=t[3],o=t[4],l=t[5],c=t[6],u=t[7],h=t[8],d=e[0],f=e[1],v=e[2],g=e[3],p=e[4],y=e[5],b=e[6],w=e[7],O=e[8];return r[0]=d*n+f*s+v*c,r[1]=d*i+f*o+v*u,r[2]=d*a+f*l+v*h,r[3]=g*n+p*s+y*c,r[4]=g*i+p*o+y*u,r[5]=g*a+p*l+y*h,r[6]=b*n+w*s+O*c,r[7]=b*i+w*o+O*u,r[8]=b*a+w*l+O*h,r}function YB(r,t,e){var n=t[0],i=t[1],a=t[2],s=t[3],o=t[4],l=t[5],c=t[6],u=t[7],h=t[8],d=e[0],f=e[1];return r[0]=n,r[1]=i,r[2]=a,r[3]=s,r[4]=o,r[5]=l,r[6]=d*n+f*s+c,r[7]=d*i+f*o+u,r[8]=d*a+f*l+h,r}function HB(r,t,e){var n=t[0],i=t[1],a=t[2],s=t[3],o=t[4],l=t[5],c=t[6],u=t[7],h=t[8],d=Math.sin(e),f=Math.cos(e);return r[0]=f*n+d*s,r[1]=f*i+d*o,r[2]=f*a+d*l,r[3]=f*s-d*n,r[4]=f*o-d*i,r[5]=f*l-d*a,r[6]=c,r[7]=u,r[8]=h,r}function XB(r,t,e){var n=e[0],i=e[1];return r[0]=n*t[0],r[1]=n*t[1],r[2]=n*t[2],r[3]=i*t[3],r[4]=i*t[4],r[5]=i*t[5],r[6]=t[6],r[7]=t[7],r[8]=t[8],r}function KB(r,t){return r[0]=1,r[1]=0,r[2]=0,r[3]=0,r[4]=1,r[5]=0,r[6]=t[0],r[7]=t[1],r[8]=1,r}function QB(r,t){var e=Math.sin(t),n=Math.cos(t);return r[0]=n,r[1]=e,r[2]=0,r[3]=-e,r[4]=n,r[5]=0,r[6]=0,r[7]=0,r[8]=1,r}function qB(r,t){return r[0]=t[0],r[1]=0,r[2]=0,r[3]=0,r[4]=t[1],r[5]=0,r[6]=0,r[7]=0,r[8]=1,r}function JB(r,t){return r[0]=t[0],r[1]=t[1],r[2]=0,r[3]=t[2],r[4]=t[3],r[5]=0,r[6]=t[4],r[7]=t[5],r[8]=1,r}function $B(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=e+e,o=n+n,l=i+i,c=e*s,u=n*s,h=n*o,d=i*s,f=i*o,v=i*l,g=a*s,p=a*o,y=a*l;return r[0]=1-h-v,r[3]=u-y,r[6]=d+p,r[1]=u+y,r[4]=1-c-v,r[7]=f-g,r[2]=d-p,r[5]=f+g,r[8]=1-c-h,r}function tF(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=t[4],o=t[5],l=t[6],c=t[7],u=t[8],h=t[9],d=t[10],f=t[11],v=t[12],g=t[13],p=t[14],y=t[15],b=e*o-n*s,w=e*l-i*s,O=e*c-a*s,_=n*l-i*o,F=n*c-a*o,W=i*c-a*l,j=u*g-h*v,H=u*p-d*v,K=u*y-f*v,et=h*p-d*g,rt=h*y-f*g,lt=d*y-f*p,ht=b*lt-w*rt+O*et+_*K-F*H+W*j;return ht?(ht=1/ht,r[0]=(o*lt-l*rt+c*et)*ht,r[1]=(l*K-s*lt-c*H)*ht,r[2]=(s*rt-o*K+c*j)*ht,r[3]=(i*rt-n*lt-a*et)*ht,r[4]=(e*lt-i*K+a*H)*ht,r[5]=(n*K-e*rt-a*j)*ht,r[6]=(g*W-p*F+y*_)*ht,r[7]=(p*O-v*W-y*w)*ht,r[8]=(v*F-g*O+y*b)*ht,r):null}function eF(r,t,e){return r[0]=2/t,r[1]=0,r[2]=0,r[3]=0,r[4]=-2/e,r[5]=0,r[6]=-1,r[7]=1,r[8]=1,r}function nF(r){return"mat3("+r[0]+", "+r[1]+", "+r[2]+", "+r[3]+", "+r[4]+", "+r[5]+", "+r[6]+", "+r[7]+", "+r[8]+")"}function rF(r){return Math.sqrt(r[0]*r[0]+r[1]*r[1]+r[2]*r[2]+r[3]*r[3]+r[4]*r[4]+r[5]*r[5]+r[6]*r[6]+r[7]*r[7]+r[8]*r[8])}function iF(r,t,e){return r[0]=t[0]+e[0],r[1]=t[1]+e[1],r[2]=t[2]+e[2],r[3]=t[3]+e[3],r[4]=t[4]+e[4],r[5]=t[5]+e[5],r[6]=t[6]+e[6],r[7]=t[7]+e[7],r[8]=t[8]+e[8],r}function aF(r,t,e){return r[0]=t[0]-e[0],r[1]=t[1]-e[1],r[2]=t[2]-e[2],r[3]=t[3]-e[3],r[4]=t[4]-e[4],r[5]=t[5]-e[5],r[6]=t[6]-e[6],r[7]=t[7]-e[7],r[8]=t[8]-e[8],r}function sF(r,t,e){return r[0]=t[0]*e,r[1]=t[1]*e,r[2]=t[2]*e,r[3]=t[3]*e,r[4]=t[4]*e,r[5]=t[5]*e,r[6]=t[6]*e,r[7]=t[7]*e,r[8]=t[8]*e,r}function oF(r,t,e,n){return r[0]=t[0]+e[0]*n,r[1]=t[1]+e[1]*n,r[2]=t[2]+e[2]*n,r[3]=t[3]+e[3]*n,r[4]=t[4]+e[4]*n,r[5]=t[5]+e[5]*n,r[6]=t[6]+e[6]*n,r[7]=t[7]+e[7]*n,r[8]=t[8]+e[8]*n,r}function lF(r,t){return r[0]===t[0]&&r[1]===t[1]&&r[2]===t[2]&&r[3]===t[3]&&r[4]===t[4]&&r[5]===t[5]&&r[6]===t[6]&&r[7]===t[7]&&r[8]===t[8]}function cF(r,t){var e=r[0],n=r[1],i=r[2],a=r[3],s=r[4],o=r[5],l=r[6],c=r[7],u=r[8],h=t[0],d=t[1],f=t[2],v=t[3],g=t[4],p=t[5],y=t[6],b=t[7],w=t[8];return Math.abs(e-h)<=glMatrix.EPSILON*Math.max(1,Math.abs(e),Math.abs(h))&&Math.abs(n-d)<=glMatrix.EPSILON*Math.max(1,Math.abs(n),Math.abs(d))&&Math.abs(i-f)<=glMatrix.EPSILON*Math.max(1,Math.abs(i),Math.abs(f))&&Math.abs(a-v)<=glMatrix.EPSILON*Math.max(1,Math.abs(a),Math.abs(v))&&Math.abs(s-g)<=glMatrix.EPSILON*Math.max(1,Math.abs(s),Math.abs(g))&&Math.abs(o-p)<=glMatrix.EPSILON*Math.max(1,Math.abs(o),Math.abs(p))&&Math.abs(l-y)<=glMatrix.EPSILON*Math.max(1,Math.abs(l),Math.abs(y))&&Math.abs(c-b)<=glMatrix.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(u-w)<=glMatrix.EPSILON*Math.max(1,Math.abs(u),Math.abs(w))}var uF=null,hF=null;function Xn(){var r=new Y(4);return Y!=Float32Array&&(r[0]=0,r[1]=0,r[2]=0),r[3]=1,r}function dF(r){return r[0]=0,r[1]=0,r[2]=0,r[3]=1,r}function Na(r,t,e){e=e*.5;var n=Math.sin(e);return 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u=u+u,h=h+h,d=d+d,r[0]=o+s*u+i*d-a*h,r[1]=l+s*h+a*u-n*d,r[2]=c+s*d+n*h-i*u,r}function ca(r,t,e,n){var i=[],a=[];return i[0]=t[0]-e[0],i[1]=t[1]-e[1],i[2]=t[2]-e[2],a[0]=i[0],a[1]=i[1]*Math.cos(n)-i[2]*Math.sin(n),a[2]=i[1]*Math.sin(n)+i[2]*Math.cos(n),r[0]=a[0]+e[0],r[1]=a[1]+e[1],r[2]=a[2]+e[2],r}function ne(r,t,e,n){var i=[],a=[];return i[0]=t[0]-e[0],i[1]=t[1]-e[1],i[2]=t[2]-e[2],a[0]=i[2]*Math.sin(n)+i[0]*Math.cos(n),a[1]=i[1],a[2]=i[2]*Math.cos(n)-i[0]*Math.sin(n),r[0]=a[0]+e[0],r[1]=a[1]+e[1],r[2]=a[2]+e[2],r}function os(r,t,e,n){var i=[],a=[];return i[0]=t[0]-e[0],i[1]=t[1]-e[1],i[2]=t[2]-e[2],a[0]=i[0]*Math.cos(n)-i[1]*Math.sin(n),a[1]=i[0]*Math.sin(n)+i[1]*Math.cos(n),a[2]=i[2],r[0]=a[0]+e[0],r[1]=a[1]+e[1],r[2]=a[2]+e[2],r}function Lr(r,t){var e=r[0],n=r[1],i=r[2],a=t[0],s=t[1],o=t[2],l=Math.sqrt((e*e+n*n+i*i)*(a*a+s*s+o*o)),c=l&&be(r,t)/l;return Math.acos(Math.min(Math.max(c,-1),1))}function Yn(r){return r[0]=0,r[1]=0,r[2]=0,r}function Dr(r){return"vec3("+r[0]+", "+r[1]+", 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r[0]=i+n*(e[0]-i),r[1]=a+n*(e[1]-a),r[2]=s+n*(e[2]-s),r[3]=o+n*(e[3]-o),r}function m(r,t){t=t===void 0?1:t;var e,n,i,a,s,o,l;l=glMatrix.RANDOM(),e=l*2-1,n=(4*glMatrix.RANDOM()-2)*Math.sqrt(l*-l+l),s=e*e+n*n,l=glMatrix.RANDOM(),i=l*2-1,a=(4*glMatrix.RANDOM()-2)*Math.sqrt(l*-l+l),o=i*i+a*a;var c=Math.sqrt((1-s)/o);return r[0]=t*e,r[1]=t*n,r[2]=t*i*c,r[3]=t*a*c,r}function M(r,t,e){var n=t[0],i=t[1],a=t[2],s=t[3];return r[0]=e[0]*n+e[4]*i+e[8]*a+e[12]*s,r[1]=e[1]*n+e[5]*i+e[9]*a+e[13]*s,r[2]=e[2]*n+e[6]*i+e[10]*a+e[14]*s,r[3]=e[3]*n+e[7]*i+e[11]*a+e[15]*s,r}function B(r,t,e){var n=e[0],i=e[1],a=e[2],s=e[3],o=t[0],l=t[1],c=t[2],u=i*c-a*l,h=a*o-n*c,d=n*l-i*o;return u=u+u,h=h+h,d=d+d,r[0]=o+s*u+i*d-a*h,r[1]=l+s*h+a*u-n*d,r[2]=c+s*d+n*h-i*u,r[3]=t[3],r}function J(r){return r[0]=0,r[1]=0,r[2]=0,r[3]=0,r}function $(r){return"vec4("+r[0]+", "+r[1]+", "+r[2]+", "+r[3]+")"}function st(r,t){return r[0]===t[0]&&r[1]===t[1]&&r[2]===t[2]&&r[3]===t[3]}function ot(r,t){var e=r[0],n=r[1],i=r[2],a=r[3],s=t[0],o=t[1],l=t[2],c=t[3];return Math.abs(e-s)<=glMatrix.EPSILON*Math.max(1,Math.abs(e),Math.abs(s))&&Math.abs(n-o)<=glMatrix.EPSILON*Math.max(1,Math.abs(n),Math.abs(o))&&Math.abs(i-l)<=glMatrix.EPSILON*Math.max(1,Math.abs(i),Math.abs(l))&&Math.abs(a-c)<=glMatrix.EPSILON*Math.max(1,Math.abs(a),Math.abs(c))}var Tt=null,ft=null,Ft=null,qt=null,Lt=null,Zt=null,oe=null,mt=function(){var r=An();return function(t,e,n,i,a,s){var o,l;for(e||(e=4),n||(n=0),i?l=Math.min(i*e+n,t.length):l=t.length,o=n;o0?(e[0]=(o*s+u*n+l*a-c*i)*2/h,e[1]=(l*s+u*i+c*n-o*a)*2/h,e[2]=(c*s+u*a+o*i-l*n)*2/h):(e[0]=(o*s+u*n+l*a-c*i)*2,e[1]=(l*s+u*i+c*n-o*a)*2,e[2]=(c*s+u*a+o*i-l*n)*2),Tr(r,t,e),r}function Tn(r,t){return r[0]=t[12],r[1]=t[13],r[2]=t[14],r}function Ca(r,t){var e=t[0],n=t[1],i=t[2],a=t[4],s=t[5],o=t[6],l=t[8],c=t[9],u=t[10];return r[0]=Math.sqrt(e*e+n*n+i*i),r[1]=Math.sqrt(a*a+s*s+o*o),r[2]=Math.sqrt(l*l+c*c+u*u),r}function Js(r,t){var e=new Y(3);Ca(e,t);var n=1/e[0],i=1/e[1],a=1/e[2],s=t[0]*n,o=t[1]*i,l=t[2]*a,c=t[4]*n,u=t[5]*i,h=t[6]*a,d=t[8]*n,f=t[9]*i,v=t[10]*a,g=s+u+v,p=0;return g>0?(p=Math.sqrt(g+1)*2,r[3]=.25*p,r[0]=(h-f)/p,r[1]=(d-l)/p,r[2]=(o-c)/p):s>u&&s>v?(p=Math.sqrt(1+s-u-v)*2,r[3]=(h-f)/p,r[0]=.25*p,r[1]=(o+c)/p,r[2]=(d+l)/p):u>v?(p=Math.sqrt(1+u-s-v)*2,r[3]=(d-l)/p,r[0]=(o+c)/p,r[1]=.25*p,r[2]=(h+f)/p):(p=Math.sqrt(1+v-s-u)*2,r[3]=(o-c)/p,r[0]=(d+l)/p,r[1]=(h+f)/p,r[2]=.25*p),r}function md(r,t,e,n){t[0]=n[12],t[1]=n[13],t[2]=n[14];var i=n[0],a=n[1],s=n[2],o=n[4],l=n[5],c=n[6],u=n[8],h=n[9],d=n[10];e[0]=Math.sqrt(i*i+a*a+s*s),e[1]=Math.sqrt(o*o+l*l+c*c),e[2]=Math.sqrt(u*u+h*h+d*d);var f=1/e[0],v=1/e[1],g=1/e[2],p=i*f,y=a*v,b=s*g,w=o*f,O=l*v,_=c*g,F=u*f,W=h*v,j=d*g,H=p+O+j,K=0;return H>0?(K=Math.sqrt(H+1)*2,r[3]=.25*K,r[0]=(_-W)/K,r[1]=(F-b)/K,r[2]=(y-w)/K):p>O&&p>j?(K=Math.sqrt(1+p-O-j)*2,r[3]=(_-W)/K,r[0]=.25*K,r[1]=(y+w)/K,r[2]=(F+b)/K):O>j?(K=Math.sqrt(1+O-p-j)*2,r[3]=(F-b)/K,r[0]=(y+w)/K,r[1]=.25*K,r[2]=(_+W)/K):(K=Math.sqrt(1+j-p-O)*2,r[3]=(y-w)/K,r[0]=(F+b)/K,r[1]=(_+W)/K,r[2]=.25*K),r}function yd(r,t,e,n){var i=t[0],a=t[1],s=t[2],o=t[3],l=i+i,c=a+a,u=s+s,h=i*l,d=i*c,f=i*u,v=a*c,g=a*u,p=s*u,y=o*l,b=o*c,w=o*u,O=n[0],_=n[1],F=n[2];return r[0]=(1-(v+p))*O,r[1]=(d+w)*O,r[2]=(f-b)*O,r[3]=0,r[4]=(d-w)*_,r[5]=(1-(h+p))*_,r[6]=(g+y)*_,r[7]=0,r[8]=(f+b)*F,r[9]=(g-y)*F,r[10]=(1-(h+v))*F,r[11]=0,r[12]=e[0],r[13]=e[1],r[14]=e[2],r[15]=1,r}function ds(r,t,e,n,i){var a=t[0],s=t[1],o=t[2],l=t[3],c=a+a,u=s+s,h=o+o,d=a*c,f=a*u,v=a*h,g=s*u,p=s*h,y=o*h,b=l*c,w=l*u,O=l*h,_=n[0],F=n[1],W=n[2],j=i[0],H=i[1],K=i[2],et=(1-(g+y))*_,rt=(f+O)*_,lt=(v-w)*_,ht=(f-O)*F,yt=(1-(d+y))*F,Nt=(p+b)*F,Ct=(v+w)*W,pt=(p-b)*W,xt=(1-(d+g))*W;return r[0]=et,r[1]=rt,r[2]=lt,r[3]=0,r[4]=ht,r[5]=yt,r[6]=Nt,r[7]=0,r[8]=Ct,r[9]=pt,r[10]=xt,r[11]=0,r[12]=e[0]+j-(et*j+ht*H+Ct*K),r[13]=e[1]+H-(rt*j+yt*H+pt*K),r[14]=e[2]+K-(lt*j+Nt*H+xt*K),r[15]=1,r}function Wo(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=e+e,o=n+n,l=i+i,c=e*s,u=n*s,h=n*o,d=i*s,f=i*o,v=i*l,g=a*s,p=a*o,y=a*l;return r[0]=1-h-v,r[1]=u+y,r[2]=d-p,r[3]=0,r[4]=u-y,r[5]=1-c-v,r[6]=f+g,r[7]=0,r[8]=d+p,r[9]=f-g,r[10]=1-c-h,r[11]=0,r[12]=0,r[13]=0,r[14]=0,r[15]=1,r}function bd(r,t,e,n,i,a,s){var o=1/(e-t),l=1/(i-n),c=1/(a-s);return r[0]=a*2*o,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=a*2*l,r[6]=0,r[7]=0,r[8]=(e+t)*o,r[9]=(i+n)*l,r[10]=(s+a)*c,r[11]=-1,r[12]=0,r[13]=0,r[14]=s*a*2*c,r[15]=0,r}function Kl(r,t,e,n,i){var a=1/Math.tan(t/2);if(r[0]=a/e,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=a,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[11]=-1,r[12]=0,r[13]=0,r[15]=0,i!=null&&i!==1/0){var s=1/(n-i);r[10]=(i+n)*s,r[14]=2*i*n*s}else r[10]=-1,r[14]=-2*n;return r}var xd=Kl;function iw(r,t,e,n,i){var a=1/Math.tan(t/2);if(r[0]=a/e,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=a,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[11]=-1,r[12]=0,r[13]=0,r[15]=0,i!=null&&i!==1/0){var s=1/(n-i);r[10]=i*s,r[14]=i*n*s}else r[10]=-1,r[14]=-n;return r}function aw(r,t,e,n){var i=Math.tan(t.upDegrees*Math.PI/180),a=Math.tan(t.downDegrees*Math.PI/180),s=Math.tan(t.leftDegrees*Math.PI/180),o=Math.tan(t.rightDegrees*Math.PI/180),l=2/(s+o),c=2/(i+a);return r[0]=l,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=c,r[6]=0,r[7]=0,r[8]=-((s-o)*l*.5),r[9]=(i-a)*c*.5,r[10]=n/(e-n),r[11]=-1,r[12]=0,r[13]=0,r[14]=n*e/(e-n),r[15]=0,r}function ng(r,t,e,n,i,a,s){var o=1/(t-e),l=1/(n-i),c=1/(a-s);return r[0]=-2*o,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=-2*l,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[10]=2*c,r[11]=0,r[12]=(t+e)*o,r[13]=(i+n)*l,r[14]=(s+a)*c,r[15]=1,r}var rg=ng;function ig(r,t,e,n,i,a,s){var o=1/(t-e),l=1/(n-i),c=1/(a-s);return r[0]=-2*o,r[1]=0,r[2]=0,r[3]=0,r[4]=0,r[5]=-2*l,r[6]=0,r[7]=0,r[8]=0,r[9]=0,r[10]=c,r[11]=0,r[12]=(t+e)*o,r[13]=(i+n)*l,r[14]=a*c,r[15]=1,r}function ag(r,t,e,n){var i,a,s,o,l,c,u,h,d,f,v=t[0],g=t[1],p=t[2],y=n[0],b=n[1],w=n[2],O=e[0],_=e[1],F=e[2];return Math.abs(v-O)0&&(f=1/Math.sqrt(f),u*=f,h*=f,d*=f);var v=l*d-c*h,g=c*u-o*d,p=o*h-l*u;return f=v*v+g*g+p*p,f>0&&(f=1/Math.sqrt(f),v*=f,g*=f,p*=f),r[0]=v,r[1]=g,r[2]=p,r[3]=0,r[4]=h*p-d*g,r[5]=d*v-u*p,r[6]=u*g-h*v,r[7]=0,r[8]=u,r[9]=h,r[10]=d,r[11]=0,r[12]=i,r[13]=a,r[14]=s,r[15]=1,r}function ow(r){return"mat4("+r[0]+", "+r[1]+", "+r[2]+", "+r[3]+", "+r[4]+", "+r[5]+", "+r[6]+", "+r[7]+", "+r[8]+", "+r[9]+", "+r[10]+", "+r[11]+", "+r[12]+", "+r[13]+", "+r[14]+", "+r[15]+")"}function lw(r){return Math.sqrt(r[0]*r[0]+r[1]*r[1]+r[2]*r[2]+r[3]*r[3]+r[4]*r[4]+r[5]*r[5]+r[6]*r[6]+r[7]*r[7]+r[8]*r[8]+r[9]*r[9]+r[10]*r[10]+r[11]*r[11]+r[12]*r[12]+r[13]*r[13]+r[14]*r[14]+r[15]*r[15])}function cw(r,t,e){return r[0]=t[0]+e[0],r[1]=t[1]+e[1],r[2]=t[2]+e[2],r[3]=t[3]+e[3],r[4]=t[4]+e[4],r[5]=t[5]+e[5],r[6]=t[6]+e[6],r[7]=t[7]+e[7],r[8]=t[8]+e[8],r[9]=t[9]+e[9],r[10]=t[10]+e[10],r[11]=t[11]+e[11],r[12]=t[12]+e[12],r[13]=t[13]+e[13],r[14]=t[14]+e[14],r[15]=t[15]+e[15],r}function sg(r,t,e){return r[0]=t[0]-e[0],r[1]=t[1]-e[1],r[2]=t[2]-e[2],r[3]=t[3]-e[3],r[4]=t[4]-e[4],r[5]=t[5]-e[5],r[6]=t[6]-e[6],r[7]=t[7]-e[7],r[8]=t[8]-e[8],r[9]=t[9]-e[9],r[10]=t[10]-e[10],r[11]=t[11]-e[11],r[12]=t[12]-e[12],r[13]=t[13]-e[13],r[14]=t[14]-e[14],r[15]=t[15]-e[15],r}function uw(r,t,e){return r[0]=t[0]*e,r[1]=t[1]*e,r[2]=t[2]*e,r[3]=t[3]*e,r[4]=t[4]*e,r[5]=t[5]*e,r[6]=t[6]*e,r[7]=t[7]*e,r[8]=t[8]*e,r[9]=t[9]*e,r[10]=t[10]*e,r[11]=t[11]*e,r[12]=t[12]*e,r[13]=t[13]*e,r[14]=t[14]*e,r[15]=t[15]*e,r}function hw(r,t,e,n){return r[0]=t[0]+e[0]*n,r[1]=t[1]+e[1]*n,r[2]=t[2]+e[2]*n,r[3]=t[3]+e[3]*n,r[4]=t[4]+e[4]*n,r[5]=t[5]+e[5]*n,r[6]=t[6]+e[6]*n,r[7]=t[7]+e[7]*n,r[8]=t[8]+e[8]*n,r[9]=t[9]+e[9]*n,r[10]=t[10]+e[10]*n,r[11]=t[11]+e[11]*n,r[12]=t[12]+e[12]*n,r[13]=t[13]+e[13]*n,r[14]=t[14]+e[14]*n,r[15]=t[15]+e[15]*n,r}function Ed(r,t){return r[0]===t[0]&&r[1]===t[1]&&r[2]===t[2]&&r[3]===t[3]&&r[4]===t[4]&&r[5]===t[5]&&r[6]===t[6]&&r[7]===t[7]&&r[8]===t[8]&&r[9]===t[9]&&r[10]===t[10]&&r[11]===t[11]&&r[12]===t[12]&&r[13]===t[13]&&r[14]===t[14]&&r[15]===t[15]}function dw(r,t){var e=r[0],n=r[1],i=r[2],a=r[3],s=r[4],o=r[5],l=r[6],c=r[7],u=r[8],h=r[9],d=r[10],f=r[11],v=r[12],g=r[13],p=r[14],y=r[15],b=t[0],w=t[1],O=t[2],_=t[3],F=t[4],W=t[5],j=t[6],H=t[7],K=t[8],et=t[9],rt=t[10],lt=t[11],ht=t[12],yt=t[13],Nt=t[14],Ct=t[15];return Math.abs(e-b)<=Z*Math.max(1,Math.abs(e),Math.abs(b))&&Math.abs(n-w)<=Z*Math.max(1,Math.abs(n),Math.abs(w))&&Math.abs(i-O)<=Z*Math.max(1,Math.abs(i),Math.abs(O))&&Math.abs(a-_)<=Z*Math.max(1,Math.abs(a),Math.abs(_))&&Math.abs(s-F)<=Z*Math.max(1,Math.abs(s),Math.abs(F))&&Math.abs(o-W)<=Z*Math.max(1,Math.abs(o),Math.abs(W))&&Math.abs(l-j)<=Z*Math.max(1,Math.abs(l),Math.abs(j))&&Math.abs(c-H)<=Z*Math.max(1,Math.abs(c),Math.abs(H))&&Math.abs(u-K)<=Z*Math.max(1,Math.abs(u),Math.abs(K))&&Math.abs(h-et)<=Z*Math.max(1,Math.abs(h),Math.abs(et))&&Math.abs(d-rt)<=Z*Math.max(1,Math.abs(d),Math.abs(rt))&&Math.abs(f-lt)<=Z*Math.max(1,Math.abs(f),Math.abs(lt))&&Math.abs(v-ht)<=Z*Math.max(1,Math.abs(v),Math.abs(ht))&&Math.abs(g-yt)<=Z*Math.max(1,Math.abs(g),Math.abs(yt))&&Math.abs(p-Nt)<=Z*Math.max(1,Math.abs(p),Math.abs(Nt))&&Math.abs(y-Ct)<=Z*Math.max(1,Math.abs(y),Math.abs(Ct))}var og=Jt,fw=sg;function lg(){var r=new Y(9);return Y!=Float32Array&&(r[1]=0,r[2]=0,r[3]=0,r[5]=0,r[6]=0,r[7]=0),r[0]=1,r[4]=1,r[8]=1,r}function vw(r,t){return r[0]=t[0],r[1]=t[1],r[2]=t[2],r[3]=t[4],r[4]=t[5],r[5]=t[6],r[6]=t[8],r[7]=t[9],r[8]=t[10],r}function BB(r){var t=new glMatrix.ARRAY_TYPE(9);return t[0]=r[0],t[1]=r[1],t[2]=r[2],t[3]=r[3],t[4]=r[4],t[5]=r[5],t[6]=r[6],t[7]=r[7],t[8]=r[8],t}function FB(r,t){return r[0]=t[0],r[1]=t[1],r[2]=t[2],r[3]=t[3],r[4]=t[4],r[5]=t[5],r[6]=t[6],r[7]=t[7],r[8]=t[8],r}function gw(r,t,e,n,i,a,s,o,l){var c=new Y(9);return c[0]=r,c[1]=t,c[2]=e,c[3]=n,c[4]=i,c[5]=a,c[6]=s,c[7]=o,c[8]=l,c}function zB(r,t,e,n,i,a,s,o,l,c){return r[0]=t,r[1]=e,r[2]=n,r[3]=i,r[4]=a,r[5]=s,r[6]=o,r[7]=l,r[8]=c,r}function jB(r){return r[0]=1,r[1]=0,r[2]=0,r[3]=0,r[4]=1,r[5]=0,r[6]=0,r[7]=0,r[8]=1,r}function ZB(r,t){if(r===t){var e=t[1],n=t[2],i=t[5];r[1]=t[3],r[2]=t[6],r[3]=e,r[5]=t[7],r[6]=n,r[7]=i}else r[0]=t[0],r[1]=t[3],r[2]=t[6],r[3]=t[1],r[4]=t[4],r[5]=t[7],r[6]=t[2],r[7]=t[5],r[8]=t[8];return r}function WB(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=t[4],o=t[5],l=t[6],c=t[7],u=t[8],h=u*s-o*c,d=-u*a+o*l,f=c*a-s*l,v=e*h+n*d+i*f;return v?(v=1/v,r[0]=h*v,r[1]=(-u*n+i*c)*v,r[2]=(o*n-i*s)*v,r[3]=d*v,r[4]=(u*e-i*l)*v,r[5]=(-o*e+i*a)*v,r[6]=f*v,r[7]=(-c*e+n*l)*v,r[8]=(s*e-n*a)*v,r):null}function GB(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=t[4],o=t[5],l=t[6],c=t[7],u=t[8];return r[0]=s*u-o*c,r[1]=i*c-n*u,r[2]=n*o-i*s,r[3]=o*l-a*u,r[4]=e*u-i*l,r[5]=i*a-e*o,r[6]=a*c-s*l,r[7]=n*l-e*c,r[8]=e*s-n*a,r}function VB(r){var t=r[0],e=r[1],n=r[2],i=r[3],a=r[4],s=r[5],o=r[6],l=r[7],c=r[8];return t*(c*a-s*l)+e*(-c*i+s*o)+n*(l*i-a*o)}function UB(r,t,e){var n=t[0],i=t[1],a=t[2],s=t[3],o=t[4],l=t[5],c=t[6],u=t[7],h=t[8],d=e[0],f=e[1],v=e[2],g=e[3],p=e[4],y=e[5],b=e[6],w=e[7],O=e[8];return r[0]=d*n+f*s+v*c,r[1]=d*i+f*o+v*u,r[2]=d*a+f*l+v*h,r[3]=g*n+p*s+y*c,r[4]=g*i+p*o+y*u,r[5]=g*a+p*l+y*h,r[6]=b*n+w*s+O*c,r[7]=b*i+w*o+O*u,r[8]=b*a+w*l+O*h,r}function YB(r,t,e){var n=t[0],i=t[1],a=t[2],s=t[3],o=t[4],l=t[5],c=t[6],u=t[7],h=t[8],d=e[0],f=e[1];return r[0]=n,r[1]=i,r[2]=a,r[3]=s,r[4]=o,r[5]=l,r[6]=d*n+f*s+c,r[7]=d*i+f*o+u,r[8]=d*a+f*l+h,r}function HB(r,t,e){var n=t[0],i=t[1],a=t[2],s=t[3],o=t[4],l=t[5],c=t[6],u=t[7],h=t[8],d=Math.sin(e),f=Math.cos(e);return r[0]=f*n+d*s,r[1]=f*i+d*o,r[2]=f*a+d*l,r[3]=f*s-d*n,r[4]=f*o-d*i,r[5]=f*l-d*a,r[6]=c,r[7]=u,r[8]=h,r}function XB(r,t,e){var n=e[0],i=e[1];return r[0]=n*t[0],r[1]=n*t[1],r[2]=n*t[2],r[3]=i*t[3],r[4]=i*t[4],r[5]=i*t[5],r[6]=t[6],r[7]=t[7],r[8]=t[8],r}function KB(r,t){return r[0]=1,r[1]=0,r[2]=0,r[3]=0,r[4]=1,r[5]=0,r[6]=t[0],r[7]=t[1],r[8]=1,r}function QB(r,t){var e=Math.sin(t),n=Math.cos(t);return r[0]=n,r[1]=e,r[2]=0,r[3]=-e,r[4]=n,r[5]=0,r[6]=0,r[7]=0,r[8]=1,r}function qB(r,t){return r[0]=t[0],r[1]=0,r[2]=0,r[3]=0,r[4]=t[1],r[5]=0,r[6]=0,r[7]=0,r[8]=1,r}function JB(r,t){return r[0]=t[0],r[1]=t[1],r[2]=0,r[3]=t[2],r[4]=t[3],r[5]=0,r[6]=t[4],r[7]=t[5],r[8]=1,r}function $B(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=e+e,o=n+n,l=i+i,c=e*s,u=n*s,h=n*o,d=i*s,f=i*o,v=i*l,g=a*s,p=a*o,y=a*l;return r[0]=1-h-v,r[3]=u-y,r[6]=d+p,r[1]=u+y,r[4]=1-c-v,r[7]=f-g,r[2]=d-p,r[5]=f+g,r[8]=1-c-h,r}function tF(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=t[4],o=t[5],l=t[6],c=t[7],u=t[8],h=t[9],d=t[10],f=t[11],v=t[12],g=t[13],p=t[14],y=t[15],b=e*o-n*s,w=e*l-i*s,O=e*c-a*s,_=n*l-i*o,F=n*c-a*o,W=i*c-a*l,j=u*g-h*v,H=u*p-d*v,K=u*y-f*v,et=h*p-d*g,rt=h*y-f*g,lt=d*y-f*p,ht=b*lt-w*rt+O*et+_*K-F*H+W*j;return ht?(ht=1/ht,r[0]=(o*lt-l*rt+c*et)*ht,r[1]=(l*K-s*lt-c*H)*ht,r[2]=(s*rt-o*K+c*j)*ht,r[3]=(i*rt-n*lt-a*et)*ht,r[4]=(e*lt-i*K+a*H)*ht,r[5]=(n*K-e*rt-a*j)*ht,r[6]=(g*W-p*F+y*_)*ht,r[7]=(p*O-v*W-y*w)*ht,r[8]=(v*F-g*O+y*b)*ht,r):null}function eF(r,t,e){return r[0]=2/t,r[1]=0,r[2]=0,r[3]=0,r[4]=-2/e,r[5]=0,r[6]=-1,r[7]=1,r[8]=1,r}function nF(r){return"mat3("+r[0]+", "+r[1]+", "+r[2]+", "+r[3]+", "+r[4]+", "+r[5]+", "+r[6]+", "+r[7]+", "+r[8]+")"}function rF(r){return Math.sqrt(r[0]*r[0]+r[1]*r[1]+r[2]*r[2]+r[3]*r[3]+r[4]*r[4]+r[5]*r[5]+r[6]*r[6]+r[7]*r[7]+r[8]*r[8])}function iF(r,t,e){return r[0]=t[0]+e[0],r[1]=t[1]+e[1],r[2]=t[2]+e[2],r[3]=t[3]+e[3],r[4]=t[4]+e[4],r[5]=t[5]+e[5],r[6]=t[6]+e[6],r[7]=t[7]+e[7],r[8]=t[8]+e[8],r}function aF(r,t,e){return r[0]=t[0]-e[0],r[1]=t[1]-e[1],r[2]=t[2]-e[2],r[3]=t[3]-e[3],r[4]=t[4]-e[4],r[5]=t[5]-e[5],r[6]=t[6]-e[6],r[7]=t[7]-e[7],r[8]=t[8]-e[8],r}function sF(r,t,e){return r[0]=t[0]*e,r[1]=t[1]*e,r[2]=t[2]*e,r[3]=t[3]*e,r[4]=t[4]*e,r[5]=t[5]*e,r[6]=t[6]*e,r[7]=t[7]*e,r[8]=t[8]*e,r}function oF(r,t,e,n){return r[0]=t[0]+e[0]*n,r[1]=t[1]+e[1]*n,r[2]=t[2]+e[2]*n,r[3]=t[3]+e[3]*n,r[4]=t[4]+e[4]*n,r[5]=t[5]+e[5]*n,r[6]=t[6]+e[6]*n,r[7]=t[7]+e[7]*n,r[8]=t[8]+e[8]*n,r}function lF(r,t){return r[0]===t[0]&&r[1]===t[1]&&r[2]===t[2]&&r[3]===t[3]&&r[4]===t[4]&&r[5]===t[5]&&r[6]===t[6]&&r[7]===t[7]&&r[8]===t[8]}function cF(r,t){var e=r[0],n=r[1],i=r[2],a=r[3],s=r[4],o=r[5],l=r[6],c=r[7],u=r[8],h=t[0],d=t[1],f=t[2],v=t[3],g=t[4],p=t[5],y=t[6],b=t[7],w=t[8];return Math.abs(e-h)<=glMatrix.EPSILON*Math.max(1,Math.abs(e),Math.abs(h))&&Math.abs(n-d)<=glMatrix.EPSILON*Math.max(1,Math.abs(n),Math.abs(d))&&Math.abs(i-f)<=glMatrix.EPSILON*Math.max(1,Math.abs(i),Math.abs(f))&&Math.abs(a-v)<=glMatrix.EPSILON*Math.max(1,Math.abs(a),Math.abs(v))&&Math.abs(s-g)<=glMatrix.EPSILON*Math.max(1,Math.abs(s),Math.abs(g))&&Math.abs(o-p)<=glMatrix.EPSILON*Math.max(1,Math.abs(o),Math.abs(p))&&Math.abs(l-y)<=glMatrix.EPSILON*Math.max(1,Math.abs(l),Math.abs(y))&&Math.abs(c-b)<=glMatrix.EPSILON*Math.max(1,Math.abs(c),Math.abs(b))&&Math.abs(u-w)<=glMatrix.EPSILON*Math.max(1,Math.abs(u),Math.abs(w))}var uF=null,hF=null;function Xn(){var r=new Y(4);return Y!=Float32Array&&(r[0]=0,r[1]=0,r[2]=0),r[3]=1,r}function dF(r){return r[0]=0,r[1]=0,r[2]=0,r[3]=1,r}function Na(r,t,e){e=e*.5;var n=Math.sin(e);return r[0]=n*t[0],r[1]=n*t[1],r[2]=n*t[2],r[3]=Math.cos(e),r}function fF(r,t){var e=Math.acos(t[3])*2,n=Math.sin(e/2);return n>glMatrix.EPSILON?(r[0]=t[0]/n,r[1]=t[1]/n,r[2]=t[2]/n):(r[0]=1,r[1]=0,r[2]=0),e}function vF(r,t){var e=Ew(r,t);return Math.acos(2*e*e-1)}function ka(r,t,e){var n=t[0],i=t[1],a=t[2],s=t[3],o=e[0],l=e[1],c=e[2],u=e[3];return r[0]=n*u+s*o+i*c-a*l,r[1]=i*u+s*l+a*o-n*c,r[2]=a*u+s*c+n*l-i*o,r[3]=s*u-n*o-i*l-a*c,r}function gF(r,t,e){e*=.5;var n=t[0],i=t[1],a=t[2],s=t[3],o=Math.sin(e),l=Math.cos(e);return r[0]=n*l+s*o,r[1]=i*l+a*o,r[2]=a*l-i*o,r[3]=s*l-n*o,r}function pF(r,t,e){e*=.5;var n=t[0],i=t[1],a=t[2],s=t[3],o=Math.sin(e),l=Math.cos(e);return r[0]=n*l-a*o,r[1]=i*l+s*o,r[2]=a*l+n*o,r[3]=s*l-i*o,r}function mF(r,t,e){e*=.5;var n=t[0],i=t[1],a=t[2],s=t[3],o=Math.sin(e),l=Math.cos(e);return r[0]=n*l+i*o,r[1]=i*l-n*o,r[2]=a*l+s*o,r[3]=s*l-a*o,r}function yF(r,t){var e=t[0],n=t[1],i=t[2];return r[0]=e,r[1]=n,r[2]=i,r[3]=Math.sqrt(Math.abs(1-e*e-n*n-i*i)),r}function pw(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=Math.sqrt(e*e+n*n+i*i),o=Math.exp(a),l=s>0?o*Math.sin(s)/s:0;return r[0]=e*l,r[1]=n*l,r[2]=i*l,r[3]=o*Math.cos(s),r}function mw(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=Math.sqrt(e*e+n*n+i*i),o=s>0?Math.atan2(s,a)/s:0;return r[0]=e*o,r[1]=n*o,r[2]=i*o,r[3]=.5*Math.log(e*e+n*n+i*i+a*a),r}function bF(r,t,e){return mw(r,t),xw(r,r,e),pw(r,r),r}function wd(r,t,e,n){var i=t[0],a=t[1],s=t[2],o=t[3],l=e[0],c=e[1],u=e[2],h=e[3],d,f,v,g,p;return f=i*l+a*c+s*u+o*h,f<0&&(f=-f,l=-l,c=-c,u=-u,h=-h),1-f>Z?(d=Math.acos(f),v=Math.sin(d),g=Math.sin((1-n)*d)/v,p=Math.sin(n*d)/v):(g=1-n,p=n),r[0]=g*i+p*l,r[1]=g*a+p*c,r[2]=g*s+p*u,r[3]=g*o+p*h,r}function xF(r){var t=glMatrix.RANDOM(),e=glMatrix.RANDOM(),n=glMatrix.RANDOM(),i=Math.sqrt(1-t),a=Math.sqrt(t);return r[0]=i*Math.sin(2*Math.PI*e),r[1]=i*Math.cos(2*Math.PI*e),r[2]=a*Math.sin(2*Math.PI*n),r[3]=a*Math.cos(2*Math.PI*n),r}function Sd(r,t){var e=t[0],n=t[1],i=t[2],a=t[3],s=e*e+n*n+i*i+a*a,o=s?1/s:0;return 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n=this.center,i=n[0],a=n[1],s=n[2],o=this.halfExtents,l=o[0],c=o[1],u=o[2],h=i-l,d=i+l,f=a-c,v=a+c,g=s-u,p=s+u,y=e.center,b=y[0],w=y[1],O=y[2],_=e.halfExtents,F=_[0],W=_[1],j=_[2],H=b-F,K=b+F,et=w-W,rt=w+W,lt=O-j,ht=O+j;Hd&&(d=K),etv&&(v=rt),ltp&&(p=ht),n[0]=(h+d)*.5,n[1]=(f+v)*.5,n[2]=(g+p)*.5,o[0]=(d-h)*.5,o[1]=(v-f)*.5,o[2]=(p-g)*.5,this.min[0]=h,this.min[1]=f,this.min[2]=g,this.max[0]=d,this.max[1]=v,this.max[2]=p}}},{key:"setFromTransformedAABB",value:function(e,n){var i=this.center,a=this.halfExtents,s=e.center,o=e.halfExtents,l=n[0],c=n[4],u=n[8],h=n[1],d=n[5],f=n[9],v=n[2],g=n[6],p=n[10],y=Math.abs(l),b=Math.abs(c),w=Math.abs(u),O=Math.abs(h),_=Math.abs(d),F=Math.abs(f),W=Math.abs(v),j=Math.abs(g),H=Math.abs(p);i[0]=n[12]+l*s[0]+c*s[1]+u*s[2],i[1]=n[13]+h*s[0]+d*s[1]+f*s[2],i[2]=n[14]+v*s[0]+g*s[1]+p*s[2],a[0]=y*o[0]+b*o[1]+w*o[2],a[1]=O*o[0]+_*o[1]+F*o[2],a[2]=W*o[0]+j*o[1]+H*o[2],Rd(this.min,i,a),Pd(this.max,i,a)}},{key:"intersects",value:function(e){var n=this.getMax(),i=this.getMin(),a=e.getMax(),s=e.getMin();return i[0]<=a[0]&&n[0]>=s[0]&&i[1]<=a[1]&&n[1]>=s[1]&&i[2]<=a[2]&&n[2]>=s[2]}},{key:"intersection",value:function(e){if(!this.intersects(e))return null;var n=new r,i=L2([0,0,0],this.getMin(),e.getMin()),a=D2([0,0,0],this.getMax(),e.getMax());return n.setMinMax(i,a),n}},{key:"getNegativeFarPoint",value:function(e){return e.pnVertexFlag===273?to([0,0,0],this.min):e.pnVertexFlag===272?[this.min[0],this.min[1],this.max[2]]:e.pnVertexFlag===257?[this.min[0],this.max[1],this.min[2]]:e.pnVertexFlag===256?[this.min[0],this.max[1],this.max[2]]:e.pnVertexFlag===17?[this.max[0],this.min[1],this.min[2]]:e.pnVertexFlag===16?[this.max[0],this.min[1],this.max[2]]:e.pnVertexFlag===1?[this.max[0],this.max[1],this.min[2]]:[this.max[0],this.max[1],this.max[2]]}},{key:"getPositiveFarPoint",value:function(e){return e.pnVertexFlag===273?to([0,0,0],this.max):e.pnVertexFlag===272?[this.max[0],this.max[1],this.min[2]]:e.pnVertexFlag===257?[this.max[0],this.min[1],this.max[2]]:e.pnVertexFlag===256?[this.max[0],this.min[1],this.min[2]]:e.pnVertexFlag===17?[this.min[0],this.max[1],this.max[2]]:e.pnVertexFlag===16?[this.min[0],this.max[1],this.min[2]]:e.pnVertexFlag===1?[this.min[0],this.min[1],this.max[2]]:[this.min[0],this.min[1],this.min[2]]}}],[{key:"isEmpty",value:function(e){return!e||e.halfExtents[0]===0&&e.halfExtents[1]===0&&e.halfExtents[2]===0}}])}(),_2=function(){function r(t,e){(0,N.Z)(this,r),this.distance=t||0,this.normal=e||Et(0,1,0),this.updatePNVertexFlag()}return(0,T.Z)(r,[{key:"updatePNVertexFlag",value:function(){this.pnVertexFlag=(+(this.normal[0]>=0)<<8)+(+(this.normal[1]>=0)<<4)+ +(this.normal[2]>=0)}},{key:"distanceToPoint",value:function(e){return be(e,this.normal)-this.distance}},{key:"normalize",value:function(){var e=1/hs(this.normal);Rt(this.normal,this.normal,e),this.distance*=e}},{key:"intersectsLine",value:function(e,n,i){var a=this.distanceToPoint(e),s=this.distanceToPoint(n),o=a/(a-s),l=o>=0&&o<=1;return l&&i&&Le(i,e,n,o),l}}])}(),eo=function(r){return r[r.OUTSIDE=4294967295]="OUTSIDE",r[r.INSIDE=0]="INSIDE",r[r.INDETERMINATE=2147483647]="INDETERMINATE",r}({}),I2=function(){function r(t){if((0,N.Z)(this,r),this.planes=[],t)this.planes=t;else for(var e=0;e<6;e++)this.planes.push(new _2)}return(0,T.Z)(r,[{key:"extractFromVPMatrix",value:function(e){var n=(0,P.Z)(e,16),i=n[0],a=n[1],s=n[2],o=n[3],l=n[4],c=n[5],u=n[6],h=n[7],d=n[8],f=n[9],v=n[10],g=n[11],p=n[12],y=n[13],b=n[14],w=n[15];zt(this.planes[0].normal,o-i,h-l,g-d),this.planes[0].distance=w-p,zt(this.planes[1].normal,o+i,h+l,g+d),this.planes[1].distance=w+p,zt(this.planes[2].normal,o+a,h+c,g+f),this.planes[2].distance=w+y,zt(this.planes[3].normal,o-a,h-c,g-f),this.planes[3].distance=w-y,zt(this.planes[4].normal,o-s,h-u,g-v),this.planes[4].distance=w-b,zt(this.planes[5].normal,o+s,h+u,g+v),this.planes[5].distance=w+b,this.planes.forEach(function(O){O.normalize(),O.updatePNVertexFlag()})}}])}(),gr=function(){function r(){var t=arguments.length>0&&arguments[0]!==void 0?arguments[0]:0,e=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0;(0,N.Z)(this,r),this.x=0,this.y=0,this.x=t,this.y=e}return(0,T.Z)(r,[{key:"clone",value:function(){return new r(this.x,this.y)}},{key:"copyFrom",value:function(e){this.x=e.x,this.y=e.y}}])}(),no=function(){function 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X2(r,t){r[0][0]=t[0],r[0][1]=t[1],r[0][2]=t[2],r[1][0]=t[4],r[1][1]=t[5],r[1][2]=t[6],r[2][0]=t[8],r[2][1]=t[9],r[2][2]=t[10]}function _d(r,t,e,n,i){r[0]=t[0]*n+e[0]*i,r[1]=t[1]*n+e[1]*i,r[2]=t[2]*n+e[2]*i}var an=function(r){return r[r.ORBITING=0]="ORBITING",r[r.EXPLORING=1]="EXPLORING",r[r.TRACKING=2]="TRACKING",r}({}),Id=function(r){return r[r.DEFAULT=0]="DEFAULT",r[r.ROTATIONAL=1]="ROTATIONAL",r[r.TRANSLATIONAL=2]="TRANSLATIONAL",r[r.CINEMATIC=3]="CINEMATIC",r}({}),vi=function(r){return r[r.ORTHOGRAPHIC=0]="ORTHOGRAPHIC",r[r.PERSPECTIVE=1]="PERSPECTIVE",r}({}),Yg={UPDATED:"updated"},Hg=2e-4,Xg=function(){function r(){(0,N.Z)(this,r),this.clipSpaceNearZ=sc.NEGATIVE_ONE,this.eventEmitter=new 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this.projectionMatrixInverse}},{key:"getFrustum",value:function(){return this.frustum}},{key:"getPosition",value:function(){return this.position}},{key:"getFocalPoint",value:function(){return this.focalPoint}},{key:"getDollyingStep",value:function(){return this.dollyingStep}},{key:"getNear",value:function(){return this.near}},{key:"getFar",value:function(){return this.far}},{key:"getZoom",value:function(){return this.zoom}},{key:"getOrthoMatrix",value:function(){return this.orthoMatrix}},{key:"getView",value:function(){return this.view}},{key:"setEnableUpdate",value:function(e){this.enableUpdate=e}},{key:"setType",value:function(e,n){return this.type=e,this.type===an.EXPLORING?this.setWorldRotation(!0):this.setWorldRotation(!1),this._getAngles(),this.type===an.TRACKING&&n!==void 0&&this.setTrackingMode(n),this}},{key:"setProjectionMode",value:function(e){return this.projectionMode=e,this}},{key:"setTrackingMode",value:function(e){if(this.type!==an.TRACKING)throw new Error("Impossible to set a tracking mode if the camera is not of tracking type");return this.trackingMode=e,this}},{key:"setWorldRotation",value:function(e){return this.rotateWorld=e,this._getAngles(),this}},{key:"getViewTransform",value:function(){return Ze(Wt(),this.matrix)}},{key:"getWorldTransform",value:function(){return this.matrix}},{key:"jitterProjectionMatrix",value:function(e,n){var i=Hn(Wt(),[e,n,0]);this.jitteredProjectionMatrix=Jt(Wt(),i,this.projectionMatrix)}},{key:"clearJitterProjectionMatrix",value:function(){this.jitteredProjectionMatrix=void 0}},{key:"setMatrix",value:function(e){return this.matrix=e,this._update(),this}},{key:"setProjectionMatrix",value:function(e){this.projectionMatrix=e}},{key:"setFov",value:function(e){return this.setPerspective(this.near,this.far,e,this.aspect),this}},{key:"setAspect",value:function(e){return this.setPerspective(this.near,this.far,this.fov,e),this}},{key:"setNear",value:function(e){return this.projectionMode===vi.PERSPECTIVE?this.setPerspective(e,this.far,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,e,this.far),this}},{key:"setFar",value:function(e){return this.projectionMode===vi.PERSPECTIVE?this.setPerspective(this.near,e,this.fov,this.aspect):this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,e),this}},{key:"setViewOffset",value:function(e,n,i,a,s,o){return this.aspect=e/n,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=e,this.view.fullHeight=n,this.view.offsetX=i,this.view.offsetY=a,this.view.width=s,this.view.height=o,this.projectionMode===vi.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===vi.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(e){return this.zoom=e,this.projectionMode===vi.ORTHOGRAPHIC?this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far):this.projectionMode===vi.PERSPECTIVE&&this.setPerspective(this.near,this.far,this.fov,this.aspect),this}},{key:"setZoomByViewportPoint",value:function(e,n){var i=this.canvas.viewport2Canvas({x:n[0],y:n[1]}),a=i.x,s=i.y,o=this.roll;this.rotate(0,0,-o),this.setPosition(a,s),this.setFocalPoint(a,s),this.setZoom(e),this.rotate(0,0,o);var l=this.canvas.viewport2Canvas({x:n[0],y:n[1]}),c=l.x,u=l.y,h=Et(c-a,u-s,0),d=be(h,this.right)/vt(this.right),f=be(h,this.up)/vt(this.up),v=this.getPosition(),g=(0,P.Z)(v,2),p=g[0],y=g[1],b=this.getFocalPoint(),w=(0,P.Z)(b,2),O=w[0],_=w[1];return 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i,a=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!0,s=e.transformable;rl[0]=n[0],rl[1]=n[1],rl[2]=(i=n[2])!==null&&i!==void 0?i:0,!ua(s.localPosition,rl)&&(Pt(s.localPosition,rl),a&&this.dirtyLocalTransform(e,s))}},{key:"translateLocal",value:function(e,n){var i=arguments.length>2&&arguments[2]!==void 0?arguments[2]:0,a=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0;typeof n=="number"&&(n=Et(n,i,a));var s=e.transformable;ua(n,Sc)||(ur(n,n,s.localRotation),Vt(s.localPosition,s.localPosition,n),this.dirtyLocalTransform(e,s))}},{key:"setLocalRotation",value:function(e,n,i,a,s){var o=arguments.length>5&&arguments[5]!==void 0?arguments[5]:!0;typeof n=="number"&&(n=cg(ws,n,i,a,s));var l=e.transformable;ql(l.localRotation,n),o&&this.dirtyLocalTransform(e,l)}},{key:"rotateLocal",value:function(e,n){var i=arguments.length>2&&arguments[2]!==void 0?arguments[2]:0,a=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0;typeof n=="number"&&(n=Et(n,i,a));var s=e.transformable;Ql(Kp,n[0],n[1],n[2]),ug(s.localRotation,s.localRotation,Kp),this.dirtyLocalTransform(e,s)}},{key:"setLocalScale",value:function(e,n){var i,a=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!0,s=e.transformable;zt(Es,n[0],n[1],(i=n[2])!==null&&i!==void 0?i:s.localScale[2]),!ua(Es,s.localScale)&&(Pt(s.localScale,Es),a&&this.dirtyLocalTransform(e,s))}},{key:"scaleLocal",value:function(e,n){var i,a=e.transformable;Ee(a.localScale,a.localScale,zt(Es,n[0],n[1],(i=n[2])!==null&&i!==void 0?i:1)),this.dirtyLocalTransform(e,a)}},{key:"setLocalSkew",value:function(e,n,i){var a=arguments.length>3&&arguments[3]!==void 0?arguments[3]:!0;typeof n=="number"&&(n=Sw(kA,n,i));var s=e.transformable;ww(s.localSkew,n),a&&this.dirtyLocalTransform(e,s)}},{key:"setLocalEulerAngles",value:function(e,n){var i=arguments.length>2&&arguments[2]!==void 0?arguments[2]:0,a=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0,s=arguments.length>4&&arguments[4]!==void 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e.getGeometryBounds(),e.transformable.origin}},{key:"getWorldTransform",value:function(e){var n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:e.transformable;return!n.localDirtyFlag&&!n.dirtyFlag||(e.parentNode&&e.parentNode.transformable&&this.getWorldTransform(e.parentNode),this.internalUpdateTransform(e)),n.worldTransform}},{key:"setPosition",value:function(e,n){var i,a=e.transformable;if(Ss[0]=n[0],Ss[1]=n[1],Ss[2]=(i=n[2])!==null&&i!==void 0?i:0,!ua(this.getPosition(e),Ss)){if(Pt(a.position,Ss),e.parentNode===null||!e.parentNode.transformable)Pt(a.localPosition,Ss);else{var s=e.parentNode.transformable;we(Mc,s.worldTransform),Ze(Mc,Mc),re(a.localPosition,Ss,Mc)}this.dirtyLocalTransform(e,a)}}},{key:"translate",value:function(e,n){var i=arguments.length>2&&arguments[2]!==void 0?arguments[2]:0,a=arguments.length>3&&arguments[3]!==void 0?arguments[3]:0;typeof 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0?arguments[1]:0,a=arguments.length>2&&arguments[2]!==void 0?arguments[2]:0;return Ut.sceneGraphService.translateLocal(this,Ir(n,i,a,!1)),this}},{key:"getPosition",value:function(){return Ut.sceneGraphService.getPosition(this)}},{key:"getLocalPosition",value:function(){return Ut.sceneGraphService.getLocalPosition(this)}},{key:"scale",value:function(n,i,a){return this.scaleLocal(n,i,a)}},{key:"scaleLocal",value:function(n,i,a){return typeof n=="number"&&(i=i||n,a=a||n,n=Ir(n,i,a,!1)),Ut.sceneGraphService.scaleLocal(this,n),this}},{key:"setLocalScale",value:function(n,i,a){return typeof n=="number"&&(i=i||n,a=a||n,n=Ir(n,i,a,!1)),Ut.sceneGraphService.setLocalScale(this,n),this}},{key:"getLocalScale",value:function(){return Ut.sceneGraphService.getLocalScale(this)}},{key:"getScale",value:function(){return Ut.sceneGraphService.getScale(this)}},{key:"getEulerAngles",value:function(){var n=Dd(il,Ut.sceneGraphService.getWorldTransform(this)),i=(0,P.Z)(n,3),a=i[2];return Vr(a)}},{key:"getLocalEulerAngles",value:function(){var n=Dd(il,Ut.sceneGraphService.getLocalRotation(this)),i=(0,P.Z)(n,3),a=i[2];return Vr(a)}},{key:"setEulerAngles",value:function(n){return Ut.sceneGraphService.setEulerAngles(this,0,0,n),this}},{key:"setLocalEulerAngles",value:function(n){return Ut.sceneGraphService.setLocalEulerAngles(this,0,0,n),this}},{key:"rotateLocal",value:function(n,i,a){return ye(i)&&ye(a)?Ut.sceneGraphService.rotateLocal(this,0,0,n):Ut.sceneGraphService.rotateLocal(this,n,i,a),this}},{key:"rotate",value:function(n,i,a){return ye(i)&&ye(a)?Ut.sceneGraphService.rotate(this,0,0,n):Ut.sceneGraphService.rotate(this,n,i,a),this}},{key:"setRotation",value:function(n,i,a,s){return Ut.sceneGraphService.setRotation(this,n,i,a,s),this}},{key:"setLocalRotation",value:function(n,i,a,s){return Ut.sceneGraphService.setLocalRotation(this,n,i,a,s),this}},{key:"setLocalSkew",value:function(n,i){return Ut.sceneGraphService.setLocalSkew(this,n,i),this}},{key:"getRotation",value:function(){return Ut.sceneGraphService.getRotation(this)}},{key:"getLocalRotation",value:function(){return Ut.sceneGraphService.getLocalRotation(this)}},{key:"getLocalSkew",value:function(){return Ut.sceneGraphService.getLocalSkew(this)}},{key:"getLocalTransform",value:function(){return Ut.sceneGraphService.getLocalTransform(this)}},{key:"getWorldTransform",value:function(){return Ut.sceneGraphService.getWorldTransform(this)}},{key:"setLocalTransform",value:function(n){return Ut.sceneGraphService.setLocalTransform(this,n),this}},{key:"resetLocalTransform",value:function(){Ut.sceneGraphService.resetLocalTransform(this)}},{key:"getAnimations",value:function(){return this.activeAnimations}},{key:"animate",value:function(n,i){var a,s=(a=this.ownerDocument)===null||a===void 0?void 0:a.timeline;return s?s.play(this,n,i):null}},{key:"isVisible",value:function(){var n;return((n=this.parsedStyle)===null||n===void 0?void 0:n.visibility)!=="hidden"}},{key:"interactive",get:function(){return this.isInteractive()},set:function(n){this.style.pointerEvents=n?"auto":"none"}},{key:"isInteractive",value:function(){var n;return((n=this.parsedStyle)===null||n===void 0?void 0:n.pointerEvents)!=="none"}},{key:"isCulled",value:function(){return!!(this.cullable&&this.cullable.enable&&!this.cullable.visible)}},{key:"toFront",value:function(){return this.parentNode&&(this.style.zIndex=Math.max.apply(Math,(0,k.Z)(this.parentNode.children.map(function(n){return Number(n.style.zIndex)})))+1),this}},{key:"toBack",value:function(){return this.parentNode&&(this.style.zIndex=Math.min.apply(Math,(0,k.Z)(this.parentNode.children.map(function(n){return Number(n.style.zIndex)})))-1),this}},{key:"getConfig",value:function(){return this.config}},{key:"attr",value:function(){for(var n=this,i=arguments.length,a=new Array(i),s=0;s1&&arguments[1]!==void 0?arguments[1]:0,a=arguments.length>2&&arguments[2]!==void 0?arguments[2]:0;return this.setPosition(n,i,a),this}},{key:"move",value:function(n){var i=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0,a=arguments.length>2&&arguments[2]!==void 0?arguments[2]:0;return this.setPosition(n,i,a),this}},{key:"setZIndex",value:function(n){return this.style.zIndex=n,this}}])}(QA);pn.PARSED_STYLE_LIST=new Set(["class","className","clipPath","cursor","display","draggable","droppable","fill","fillOpacity","fillRule","filter","increasedLineWidthForHitTesting","lineCap","lineDash","lineDashOffset","lineJoin","lineWidth","miterLimit","hitArea","offsetDistance","offsetPath","offsetX","offsetY","opacity","pointerEvents","shadowColor","shadowType","shadowBlur","shadowOffsetX","shadowOffsetY","stroke","strokeOpacity","strokeWidth","strokeLinecap","strokeLineJoin","strokeDasharray","strokeDashoffset","transform","transformOrigin","textTransform","visibility","zIndex"]);var Ji=function(r){function t(){var e=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};return(0,N.Z)(this,t),(0,R.Z)(this,t,[(0,D.Z)({type:_t.CIRCLE},e)])}return(0,C.Z)(t,r),(0,T.Z)(t)}(pn);Ji.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(pn.PARSED_STYLE_LIST),["cx","cy","cz","r","isBillboard","isSizeAttenuation"]));var $A=["style"],hf=function(r){function t(){var e,n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},i=n.style,a=(0,vs.Z)(n,$A);return(0,N.Z)(this,t),e=(0,R.Z)(this,t,[(0,D.Z)({style:i},a)]),e.isCustomElement=!0,e}return(0,C.Z)(t,r),(0,T.Z)(t)}(pn);hf.PARSED_STYLE_LIST=new Set(["class","className","clipPath","cursor","draggable","droppable","opacity","pointerEvents","transform","transformOrigin","zIndex","visibility"]);var al=function(r){function t(){var e=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};return(0,N.Z)(this,t),(0,R.Z)(this,t,[(0,D.Z)({type:_t.ELLIPSE},e)])}return(0,C.Z)(t,r),(0,T.Z)(t)}(pn);al.PARSED_STYLE_LIST=new 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v=0,g,p,y,b,w,O;n?(y=c,b=h,g=u-c,p=d-h,w=o||0,O=this.markerStartAngle):(y=u,b=d,g=c-u,p=h-d,w=l||0,O=this.markerEndAngle),v=Math.atan2(p,g),f.setLocalEulerAngles(v*180/Math.PI+O),f.setLocalPosition(y+Math.cos(v)*w,b+Math.sin(v)*w)}}},{key:"getPoint",value:function(n){var i=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,a=this.parsedStyle,s=a.x1,o=a.y1,l=a.x2,c=a.y2,u=Yi(s,o,l,c,n),h=u.x,d=u.y,f=re(gt(),Et(h,d,0),i?this.getWorldTransform():this.getLocalTransform());return new gr(f[0],f[1])}},{key:"getPointAtLength",value:function(n){var i=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;return this.getPoint(n/this.getTotalLength(),i)}},{key:"getTotalLength",value:function(){var n=this.parsedStyle,i=n.x1,a=n.y1,s=n.x2,o=n.y2;return Rg(i,a,s,o)}}])}(pn);As.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(pn.PARSED_STYLE_LIST),["x1","y1","x2","y2","z1","z2","isBillboard","isSizeAttenuation","markerStart","markerEnd","markerStartOffset","markerEndOffset"]));var rT=["style"],ri=function(r){function t(){var e,n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},i=n.style,a=(0,vs.Z)(n,rT);(0,N.Z)(this,t),e=(0,R.Z)(this,t,[(0,D.Z)({type:_t.PATH,style:i,initialParsedStyle:{miterLimit:4,d:(0,D.Z)({},Qg)}},a)]),e.markerStartAngle=0,e.markerEndAngle=0,e.markerMidList=[];var s=e.parsedStyle,o=s.markerStart,l=s.markerEnd,c=s.markerMid;return o&&Ue(o)&&(e.markerStartAngle=o.getLocalEulerAngles(),e.appendChild(o)),c&&Ue(c)&&e.placeMarkerMid(c),l&&Ue(l)&&(e.markerEndAngle=l.getLocalEulerAngles(),e.appendChild(l)),e.transformMarker(!0),e.transformMarker(!1),e}return(0,C.Z)(t,r),(0,T.Z)(t,[{key:"attributeChangedCallback",value:function(n,i,a,s,o){n==="d"?(this.transformMarker(!0),this.transformMarker(!1),this.placeMarkerMid(this.parsedStyle.markerMid)):n==="markerStartOffset"||n==="markerEndOffset"?(this.transformMarker(!0),this.transformMarker(!1)):n==="markerStart"?(s&&Ue(s)&&(this.markerStartAngle=0,s.remove()),o&&Ue(o)&&(this.markerStartAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!0))):n==="markerEnd"?(s&&Ue(s)&&(this.markerEndAngle=0,s.remove()),o&&Ue(o)&&(this.markerEndAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!1))):n==="markerMid"&&this.placeMarkerMid(o)}},{key:"transformMarker",value:function(n){var i=this.parsedStyle,a=i.markerStart,s=i.markerEnd,o=i.markerStartOffset,l=i.markerEndOffset,c=n?a:s;if(!(!c||!Ue(c))){var u=0,h,d,f,v,g,p;if(n){var y=this.getStartTangent(),b=(0,P.Z)(y,2),w=b[0],O=b[1];f=O[0],v=O[1],h=w[0]-O[0],d=w[1]-O[1],g=o||0,p=this.markerStartAngle}else{var _=this.getEndTangent(),F=(0,P.Z)(_,2),W=F[0],j=F[1];f=j[0],v=j[1],h=W[0]-j[0],d=W[1]-j[1],g=l||0,p=this.markerEndAngle}u=Math.atan2(d,h),c.setLocalEulerAngles(u*180/Math.PI+p),c.setLocalPosition(f+Math.cos(u)*g,v+Math.sin(u)*g)}}},{key:"placeMarkerMid",value:function(n){var i=this.parsedStyle.d.segments;if(this.markerMidList.forEach(function(u){u.remove()}),n&&Ue(n))for(var a=1;a1&&arguments[1]!==void 0?arguments[1]:!1,a=this.parsedStyle.d.absolutePath,s=c2(a,n),o=s.x,l=s.y,c=re(gt(),Et(o,l,0),i?this.getWorldTransform():this.getLocalTransform());return new gr(c[0],c[1])}},{key:"getPoint",value:function(n){var i=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;return this.getPointAtLength(n*Hd(this),i)}},{key:"getStartTangent",value:function(){var n=this.parsedStyle.d.segments,i=[];if(n.length>1){var a=n[0].currentPoint,s=n[1].currentPoint,o=n[1].startTangent;i=[],o?(i.push([a[0]-o[0],a[1]-o[1]]),i.push([a[0],a[1]])):(i.push([s[0],s[1]]),i.push([a[0],a[1]]))}return i}},{key:"getEndTangent",value:function(){var n=this.parsedStyle.d.segments,i=n.length,a=[];if(i>1){var s=n[i-2].currentPoint,o=n[i-1].currentPoint,l=n[i-1].endTangent;a=[],l?(a.push([o[0]-l[0],o[1]-l[1]]),a.push([o[0],o[1]])):(a.push([s[0],s[1]]),a.push([o[0],o[1]]))}return a}}])}(pn);ri.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(pn.PARSED_STYLE_LIST),["d","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isBillboard","isSizeAttenuation"]));var iT=["style"],Ts=function(r){function t(){var e,n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},i=n.style,a=(0,vs.Z)(n,iT);(0,N.Z)(this,t),e=(0,R.Z)(this,t,[(0,D.Z)({type:_t.POLYGON,style:i,initialParsedStyle:{points:{points:[],totalLength:0,segments:[]},miterLimit:4,isClosed:!0}},a)]),e.markerStartAngle=0,e.markerEndAngle=0,e.markerMidList=[];var s=e.parsedStyle,o=s.markerStart,l=s.markerEnd,c=s.markerMid;return o&&Ue(o)&&(e.markerStartAngle=o.getLocalEulerAngles(),e.appendChild(o)),c&&Ue(c)&&e.placeMarkerMid(c),l&&Ue(l)&&(e.markerEndAngle=l.getLocalEulerAngles(),e.appendChild(l)),e.transformMarker(!0),e.transformMarker(!1),e}return(0,C.Z)(t,r),(0,T.Z)(t,[{key:"attributeChangedCallback",value:function(n,i,a,s,o){n==="points"?(this.transformMarker(!0),this.transformMarker(!1),this.placeMarkerMid(this.parsedStyle.markerMid)):n==="markerStartOffset"||n==="markerEndOffset"?(this.transformMarker(!0),this.transformMarker(!1)):n==="markerStart"?(s&&Ue(s)&&(this.markerStartAngle=0,s.remove()),o&&Ue(o)&&(this.markerStartAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!0))):n==="markerEnd"?(s&&Ue(s)&&(this.markerEndAngle=0,s.remove()),o&&Ue(o)&&(this.markerEndAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!1))):n==="markerMid"&&this.placeMarkerMid(o)}},{key:"transformMarker",value:function(n){var i=this.parsedStyle,a=i.markerStart,s=i.markerEnd,o=i.markerStartOffset,l=i.markerEndOffset,c=i.points,u=c||{},h=u.points,d=n?a:s;if(!(!d||!Ue(d)||!h)){var f=0,v,g,p,y,b,w;if(p=h[0][0],y=h[0][1],n)v=h[1][0]-h[0][0],g=h[1][1]-h[0][1],b=o||0,w=this.markerStartAngle;else{var O=h.length;this.parsedStyle.isClosed?(v=h[O-1][0]-h[0][0],g=h[O-1][1]-h[0][1]):(p=h[O-1][0],y=h[O-1][1],v=h[O-2][0]-h[O-1][0],g=h[O-2][1]-h[O-1][1]),b=l||0,w=this.markerEndAngle}f=Math.atan2(g,v),d.setLocalEulerAngles(f*180/Math.PI+w),d.setLocalPosition(p+Math.cos(f)*b,y+Math.sin(f)*b)}}},{key:"placeMarkerMid",value:function(n){var i=this.parsedStyle.points,a=i||{},s=a.points;if(this.markerMidList.forEach(function(h){h.remove()}),this.markerMidList=[],n&&Ue(n)&&s)for(var o=1;o<(this.parsedStyle.isClosed?s.length:s.length-1);o++){var l=s[o][0],c=s[o][1],u=o===1?n:n.cloneNode(!0);this.markerMidList.push(u),this.appendChild(u),u.setLocalPosition(l,c)}}}])}(pn);Ts.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(pn.PARSED_STYLE_LIST),["points","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isClosed","isBillboard","isSizeAttenuation"]));var aT=["style"],Tc=function(r){function t(){var e=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=e.style,i=(0,vs.Z)(e,aT);return(0,N.Z)(this,t),(0,R.Z)(this,t,[(0,D.Z)({type:_t.POLYLINE,style:n,initialParsedStyle:{points:{points:[],totalLength:0,segments:[]},miterLimit:4,isClosed:!1}},i)])}return(0,C.Z)(t,r),(0,T.Z)(t,[{key:"getTotalLength",value:function(){return HS(this)}},{key:"getPointAtLength",value:function(n){var i=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;return this.getPoint(n/this.getTotalLength(),i)}},{key:"getPoint",value:function(n){var i=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,a=this.parsedStyle.points.points;if(this.parsedStyle.points.segments.length===0){var s=[],o=0,l,c,u=this.getTotalLength();a.forEach(function(y,b){a[b+1]&&(l=[0,0],l[0]=o/u,c=Rg(y[0],y[1],a[b+1][0],a[b+1][1]),o+=c,l[1]=o/u,s.push(l))}),this.parsedStyle.points.segments=s}var h=0,d=0;this.parsedStyle.points.segments.forEach(function(y,b){n>=y[0]&&n<=y[1]&&(h=(n-y[0])/(y[1]-y[0]),d=b)});var f=Yi(a[d][0],a[d][1],a[d+1][0],a[d+1][1],h),v=f.x,g=f.y,p=re(gt(),Et(v,g,0),i?this.getWorldTransform():this.getLocalTransform());return new gr(p[0],p[1])}},{key:"getStartTangent",value:function(){var n=this.parsedStyle.points.points,i=[];return i.push([n[1][0],n[1][1]]),i.push([n[0][0],n[0][1]]),i}},{key:"getEndTangent",value:function(){var n=this.parsedStyle.points.points,i=n.length-1,a=[];return a.push([n[i-1][0],n[i-1][1]]),a.push([n[i][0],n[i][1]]),a}}])}(Ts);Tc.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(Ts.PARSED_STYLE_LIST),["points","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isBillboard"]));var pr=function(r){function t(){var e=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{};return(0,N.Z)(this,t),(0,R.Z)(this,t,[(0,D.Z)({type:_t.RECT},e)])}return(0,C.Z)(t,r),(0,T.Z)(t)}(pn);pr.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(pn.PARSED_STYLE_LIST),["x","y","z","width","height","isBillboard","isSizeAttenuation","radius"]));var sT=["style"],Os=function(r){function t(){var e=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=e.style,i=(0,vs.Z)(e,sT);return(0,N.Z)(this,t),(0,R.Z)(this,t,[(0,D.Z)({type:_t.TEXT,style:(0,D.Z)({fill:"black"},n)},i)])}return(0,C.Z)(t,r),(0,T.Z)(t,[{key:"getComputedTextLength",value:function(){var n;return this.getGeometryBounds(),((n=this.parsedStyle.metrics)===null||n===void 0?void 0:n.maxLineWidth)||0}},{key:"getLineBoundingRects",value:function(){var n;return this.getGeometryBounds(),((n=this.parsedStyle.metrics)===null||n===void 0?void 0:n.lineMetrics)||[]}},{key:"isOverflowing",value:function(){return this.getGeometryBounds(),!!this.parsedStyle.isOverflowing}}])}(pn);Os.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(pn.PARSED_STYLE_LIST),["x","y","z","isBillboard","billboardRotation","isSizeAttenuation","text","textAlign","textBaseline","fontStyle","fontSize","fontFamily","fontWeight","fontVariant","lineHeight","letterSpacing","leading","wordWrap","wordWrapWidth","maxLines","textOverflow","isOverflowing","textPath","textDecorationLine","textDecorationColor","textDecorationStyle","textDecorationThickness","textPathSide","textPathStartOffset","metrics","dx","dy"]));var oT=function(){function r(){(0,N.Z)(this,r),this.registry={},this.define(_t.CIRCLE,Ji),this.define(_t.ELLIPSE,al),this.define(_t.RECT,pr),this.define(_t.IMAGE,sl),this.define(_t.LINE,As),this.define(_t.GROUP,ir),this.define(_t.PATH,ri),this.define(_t.POLYGON,Ts),this.define(_t.POLYLINE,Tc),this.define(_t.TEXT,Os),this.define(_t.HTML,co)}return(0,T.Z)(r,[{key:"define",value:function(e,n){this.registry[e]=n}},{key:"get",value:function(e){return this.registry[e]}}])}(),U8={number:function(t){return new sn(t)},percent:function(t){return new sn(t,"%")},px:function(t){return new sn(t,"px")},em:function(t){return new sn(t,"em")},rem:function(t){return new sn(t,"rem")},deg:function(t){return new sn(t,"deg")},grad:function(t){return new sn(t,"grad")},rad:function(t){return new sn(t,"rad")},turn:function(t){return new sn(t,"turn")},s:function(t){return new sn(t,"s")},ms:function(t){return new sn(t,"ms")},registerProperty:function(t){var e=t.name,n=t.inherits,i=t.interpolable,a=t.initialValue,s=t.syntax;Ut.styleValueRegistry.registerMetadata({n:e,inh:n,int:i,d:a,syntax:s})},registerLayout:function(t,e){Ut.layoutRegistry.registerLayout(t,e)}},tm=function(r){function t(){var e;(0,N.Z)(this,t),e=(0,R.Z)(this,t),e.defaultView=null,e.ownerDocument=null,e.nodeName="document";try{e.timeline=new Ut.AnimationTimeline(e)}catch(i){}var n={};return Jd.forEach(function(i){var a=i.n,s=i.inh,o=i.d;s&&o&&(n[a]=fe(o)?o(_t.GROUP):o)}),e.documentElement=new ir({id:"g-root",style:n}),e.documentElement.ownerDocument=e,e.documentElement.parentNode=e,e.childNodes=[e.documentElement],e}return(0,C.Z)(t,r),(0,T.Z)(t,[{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(n,i){if(n==="svg")return this.documentElement;var a=this.defaultView.customElements.get(n);a||(console.warn("Unsupported tagName: ",n),a=n==="tspan"?Os:ir);var s=new a(i);return s.ownerDocument=this,s}},{key:"createElementNS",value:function(n,i,a){return this.createElement(i,a)}},{key:"cloneNode",value:function(n){throw new Error(nn)}},{key:"destroy",value:function(){try{this.documentElement.destroyChildren(),this.timeline.destroy()}catch(n){}}},{key:"elementsFromBBox",value:function(n,i,a,s){var o=[],l=function(u){if(!(!u.isInteractive()||u.isCulled())){var h=u.parsedStyle.pointerEvents,d=h===void 0?"auto":h,f=["auto","visiblepainted","visiblefill","visiblestroke","visible"].includes(d);if(!f||u.isVisible()){var v=u.getTransformedGeometryBounds(!0);v&&!gn.isEmpty(v)&&v.max[0]>=n&&v.min[0]<=a&&v.max[1]>=i&&v.min[1]<=s&&o.push(u)}u.childNodes&&u.childNodes.forEach(function(g){g instanceof pn&&l(g)})}};return l(this.documentElement),o.sort(function(c,u){return u.sortable.renderOrder-c.sortable.renderOrder}),o}},{key:"elementFromPointSync",value:function(n,i){var a=this.defaultView.canvas2Viewport({x:n,y:i}),s=a.x,o=a.y,l=this.defaultView.getConfig(),c=l.width,u=l.height;if(s<0||o<0||s>c||o>u)return null;var h=this.defaultView.viewport2Client({x:s,y:o}),d=h.x,f=h.y,v=this.defaultView.getRenderingService().hooks.pickSync.call({topmost:!0,position:{x:n,y:i,viewportX:s,viewportY:o,clientX:d,clientY:f},picked:[]}),g=v.picked;return g&&g[0]||this.documentElement}},{key:"elementFromPoint",value:function(){var e=(0,Ra.Z)((0,Cr.Z)().mark(function i(a,s){var o,l,c,u,h,d,f,v,g,p,y;return(0,Cr.Z)().wrap(function(b){for(;;)switch(b.prev=b.next){case 0:if(o=this.defaultView.canvas2Viewport({x:a,y:s}),l=o.x,c=o.y,u=this.defaultView.getConfig(),h=u.width,d=u.height,!(l<0||c<0||l>h||c>d)){b.next=1;break}return b.abrupt("return",null);case 1:return f=this.defaultView.viewport2Client({x:l,y:c}),v=f.x,g=f.y,b.next=2,this.defaultView.getRenderingService().hooks.pick.promise({topmost:!0,position:{x:a,y:s,viewportX:l,viewportY:c,clientX:v,clientY:g},picked:[]});case 2:return p=b.sent,y=p.picked,b.abrupt("return",y&&y[0]||this.documentElement);case 3:case"end":return b.stop()}},i,this)}));function n(i,a){return e.apply(this,arguments)}return n}()},{key:"elementsFromPointSync",value:function(n,i){var a=this.defaultView.canvas2Viewport({x:n,y:i}),s=a.x,o=a.y,l=this.defaultView.getConfig(),c=l.width,u=l.height;if(s<0||o<0||s>c||o>u)return[];var h=this.defaultView.viewport2Client({x:s,y:o}),d=h.x,f=h.y,v=this.defaultView.getRenderingService().hooks.pickSync.call({topmost:!1,position:{x:n,y:i,viewportX:s,viewportY:o,clientX:d,clientY:f},picked:[]}),g=v.picked;return g[g.length-1]!==this.documentElement&&g.push(this.documentElement),g}},{key:"elementsFromPoint",value:function(){var e=(0,Ra.Z)((0,Cr.Z)().mark(function i(a,s){var o,l,c,u,h,d,f,v,g,p,y;return(0,Cr.Z)().wrap(function(b){for(;;)switch(b.prev=b.next){case 0:if(o=this.defaultView.canvas2Viewport({x:a,y:s}),l=o.x,c=o.y,u=this.defaultView.getConfig(),h=u.width,d=u.height,!(l<0||c<0||l>h||c>d)){b.next=1;break}return b.abrupt("return",[]);case 1:return f=this.defaultView.viewport2Client({x:l,y:c}),v=f.x,g=f.y,b.next=2,this.defaultView.getRenderingService().hooks.pick.promise({topmost:!1,position:{x:a,y:s,viewportX:l,viewportY:c,clientX:v,clientY:g},picked:[]});case 2:return p=b.sent,y=p.picked,y[y.length-1]!==this.documentElement&&y.push(this.documentElement),b.abrupt("return",y);case 3:case"end":return b.stop()}},i,this)}));function n(i,a){return e.apply(this,arguments)}return n}()},{key:"appendChild",value:function(n,i){throw new Error(ro)}},{key:"insertBefore",value:function(n,i){throw new Error(ro)}},{key:"removeChild",value:function(n,i){throw new Error(ro)}},{key:"replaceChild",value:function(n,i,a){throw new Error(ro)}},{key:"append",value:function(){throw new Error(ro)}},{key:"prepend",value:function(){throw new Error(ro)}},{key:"getElementById",value:function(n){return this.documentElement.getElementById(n)}},{key:"getElementsByName",value:function(n){return this.documentElement.getElementsByName(n)}},{key:"getElementsByTagName",value:function(n){return this.documentElement.getElementsByTagName(n)}},{key:"getElementsByClassName",value:function(n){return this.documentElement.getElementsByClassName(n)}},{key:"querySelector",value:function(n){return this.documentElement.querySelector(n)}},{key:"querySelectorAll",value:function(n){return this.documentElement.querySelectorAll(n)}},{key:"find",value:function(n){return this.documentElement.find(n)}},{key:"findAll",value:function(n){return this.documentElement.findAll(n)}}])}(On),em=function(){function r(t){(0,N.Z)(this,r),this.strategies=t}return(0,T.Z)(r,[{key:"apply",value:function(e){var n=e.config,i=e.camera,a=e.renderingService,s=e.renderingContext,o=this.strategies;a.hooks.cull.tap(r.tag,function(l){if(l){var c,u=l.cullable;if(o.length===0?u.visible=s.unculledEntities.indexOf(l.entity)>-1:u.visible=o.every(function(d){return d.isVisible(i,l)}),!l.isCulled()&&l.isVisible())return l;var h=((c=n.future)===null||c===void 0?void 0:c.experimentalCancelEventPropagation)===!0;return l.dispatchEvent(new Kn(Ie.CULLED),h,h),null}return l}),a.hooks.afterRender.tap(r.tag,function(l){l.cullable.visibilityPlaneMask=-1})}}])}();em.tag="Culling";var nm=function(){function r(){var t=this;(0,N.Z)(this,r),this.autoPreventDefault=!1,this.rootPointerEvent=new wc(null),this.rootWheelEvent=new of(null),this.onPointerMove=function(e){var n,i=(n=t.context.renderingContext.root)===null||n===void 0||(n=n.ownerDocument)===null||n===void 0?void 0:n.defaultView;if(!(i.supportsTouchEvents&&e.pointerType==="touch")){var a=t.normalizeToPointerEvent(e,i),s=(0,La.Z)(a),o;try{for(s.s();!(o=s.n()).done;){var l=o.value,c=t.bootstrapEvent(t.rootPointerEvent,l,i,e);t.context.eventService.mapEvent(c)}}catch(u){s.e(u)}finally{s.f()}t.setCursor(t.context.eventService.cursor)}},this.onClick=function(e){var n,i=(n=t.context.renderingContext.root)===null||n===void 0||(n=n.ownerDocument)===null||n===void 0?void 0:n.defaultView,a=t.normalizeToPointerEvent(e,i),s=(0,La.Z)(a),o;try{for(s.s();!(o=s.n()).done;){var l=o.value,c=t.bootstrapEvent(t.rootPointerEvent,l,i,e);t.context.eventService.mapEvent(c)}}catch(u){s.e(u)}finally{s.f()}t.setCursor(t.context.eventService.cursor)}}return(0,T.Z)(r,[{key:"apply",value:function(e){var n=this;this.context=e;var i=e.renderingService,a=this.context.renderingContext.root.ownerDocument.defaultView;this.context.eventService.setPickHandler(function(s){var o=n.context.renderingService.hooks.pickSync.call({position:s,picked:[],topmost:!0}),l=o.picked;return l[0]||null}),i.hooks.pointerWheel.tap(r.tag,function(s){var o=n.normalizeWheelEvent(s);n.context.eventService.mapEvent(o)}),i.hooks.pointerDown.tap(r.tag,function(s){if(!(a.supportsTouchEvents&&s.pointerType==="touch")){var o=n.normalizeToPointerEvent(s,a);if(n.autoPreventDefault&&o[0].isNormalized){var l=s.cancelable||!("cancelable"in s);l&&s.preventDefault()}var c=(0,La.Z)(o),u;try{for(c.s();!(u=c.n()).done;){var h=u.value,d=n.bootstrapEvent(n.rootPointerEvent,h,a,s);n.context.eventService.mapEvent(d)}}catch(f){c.e(f)}finally{c.f()}n.setCursor(n.context.eventService.cursor)}}),i.hooks.pointerUp.tap(r.tag,function(s){if(!(a.supportsTouchEvents&&s.pointerType==="touch")){var o=n.context.contextService.getDomElement(),l=n.context.eventService.isNativeEventFromCanvas(o,s),c=l?"":"outside",u=n.normalizeToPointerEvent(s,a),h=(0,La.Z)(u),d;try{for(h.s();!(d=h.n()).done;){var f=d.value,v=n.bootstrapEvent(n.rootPointerEvent,f,a,s);v.type+=c,n.context.eventService.mapEvent(v)}}catch(g){h.e(g)}finally{h.f()}n.setCursor(n.context.eventService.cursor)}}),i.hooks.pointerMove.tap(r.tag,this.onPointerMove),i.hooks.pointerOver.tap(r.tag,this.onPointerMove),i.hooks.pointerOut.tap(r.tag,this.onPointerMove),i.hooks.click.tap(r.tag,this.onClick),i.hooks.pointerCancel.tap(r.tag,function(s){var o=n.normalizeToPointerEvent(s,a),l=(0,La.Z)(o),c;try{for(l.s();!(c=l.n()).done;){var u=c.value,h=n.bootstrapEvent(n.rootPointerEvent,u,a,s);n.context.eventService.mapEvent(h)}}catch(d){l.e(d)}finally{l.f()}n.setCursor(n.context.eventService.cursor)})}},{key:"bootstrapEvent",value:function(e,n,i,a){e.view=i,e.originalEvent=null,e.nativeEvent=a,e.pointerId=n.pointerId,e.width=n.width,e.height=n.height,e.isPrimary=n.isPrimary,e.pointerType=n.pointerType,e.pressure=n.pressure,e.tangentialPressure=n.tangentialPressure,e.tiltX=n.tiltX,e.tiltY=n.tiltY,e.twist=n.twist,this.transferMouseData(e,n);var s=this.context.eventService.client2Viewport({x:n.clientX,y:n.clientY}),o=s.x,l=s.y;e.viewport.x=o,e.viewport.y=l;var c=this.context.eventService.viewport2Canvas(e.viewport),u=c.x,h=c.y;return e.canvas.x=u,e.canvas.y=h,e.global.copyFrom(e.canvas),e.offset.copyFrom(e.canvas),e.isTrusted=a.isTrusted,e.type==="pointerleave"&&(e.type="pointerout"),e.type.startsWith("mouse")&&(e.type=e.type.replace("mouse","pointer")),e.type.startsWith("touch")&&(e.type=VM[e.type]||e.type),e}},{key:"normalizeWheelEvent",value:function(e){var n=this.rootWheelEvent;this.transferMouseData(n,e),n.deltaMode=e.deltaMode,n.deltaX=e.deltaX,n.deltaY=e.deltaY,n.deltaZ=e.deltaZ;var i=this.context.eventService.client2Viewport({x:e.clientX,y:e.clientY}),a=i.x,s=i.y;n.viewport.x=a,n.viewport.y=s;var o=this.context.eventService.viewport2Canvas(n.viewport),l=o.x,c=o.y;return n.canvas.x=l,n.canvas.y=c,n.global.copyFrom(n.canvas),n.offset.copyFrom(n.canvas),n.nativeEvent=e,n.type=e.type,n}},{key:"transferMouseData",value:function(e,n){e.isTrusted=n.isTrusted,e.srcElement=n.srcElement,e.timeStamp=nf.now(),e.type=n.type,e.altKey=n.altKey,e.metaKey=n.metaKey,e.shiftKey=n.shiftKey,e.ctrlKey=n.ctrlKey,e.button=n.button,e.buttons=n.buttons,e.client.x=n.clientX,e.client.y=n.clientY,e.movement.x=n.movementX,e.movement.y=n.movementY,e.page.x=n.pageX,e.page.y=n.pageY,e.screen.x=n.screenX,e.screen.y=n.screenY,e.relatedTarget=null}},{key:"setCursor",value:function(e){this.context.contextService.applyCursorStyle(e||this.context.config.cursor||"default")}},{key:"normalizeToPointerEvent",value:function(e,n){var i=[];if(n.isTouchEvent(e))for(var a=0;a-1,l=0,c=a.length;l=1?Math.ceil(K):1,a&&(j=o||ZM(a)||a.width/K,H=l||WM(a)||a.height/K),n.customElements=new oT,n.devicePixelRatio=K,n.requestAnimationFrame=p!=null?p:rf.bind(Ut.globalThis),n.cancelAnimationFrame=y!=null?y:Zp.bind(Ut.globalThis),n.createImage=b!=null?b:function(){return new window.Image},n.supportsTouchEvents=w!=null?w:"ontouchstart"in Ut.globalThis,n.supportsPointerEvents=O!=null?O:!!Ut.globalThis.PointerEvent,n.isTouchEvent=_!=null?_:function(et){return n.supportsTouchEvents&&et instanceof Ut.globalThis.TouchEvent},n.isMouseEvent=F!=null?F:function(et){return!Ut.globalThis.MouseEvent||et instanceof Ut.globalThis.MouseEvent&&(!n.supportsPointerEvents||!(et instanceof Ut.globalThis.PointerEvent))},v&&(Ut.offscreenCanvas=v),n.document=new tm,n.document.defaultView=n,h||BM(i,n,f),n.initRenderingContext((0,D.Z)((0,D.Z)({},e),{},{width:j,height:H,background:c!=null?c:"transparent",cursor:u!=null?u:"default",cleanUpOnDestroy:f,devicePixelRatio:K,requestAnimationFrame:n.requestAnimationFrame,cancelAnimationFrame:n.cancelAnimationFrame,createImage:n.createImage,supportsTouchEvents:n.supportsTouchEvents,supportsPointerEvents:n.supportsPointerEvents,isTouchEvent:n.isTouchEvent,isMouseEvent:n.isMouseEvent,dblClickSpeed:W!=null?W:200})),n.initDefaultCamera(j,H,s.clipSpaceNearZ),n.initRenderer(s,!0),n}return(0,C.Z)(t,r),(0,T.Z)(t,[{key:"initRenderingContext",value:function(n){this.context.config=n,this.context.renderingContext={root:this.document.documentElement,unculledEntities:[],renderListCurrentFrame:[],renderReasons:new Set,force:!1,dirty:!1}}},{key:"initDefaultCamera",value:function(n,i,a){var s=this,o=new Ut.CameraContribution;o.clipSpaceNearZ=a,o.setType(an.EXPLORING,Id.DEFAULT).setPosition(n/2,i/2,im).setFocalPoint(n/2,i/2,0).setOrthographic(n/-2,n/2,i/2,i/-2,uT,hT),o.canvas=this,o.eventEmitter.on(Yg.UPDATED,function(){s.context.renderingContext.renderReasons.add(lo.CAMERA_CHANGED),Ut.enableSizeAttenuation&&s.getConfig().renderer.getConfig().enableSizeAttenuation&&s.updateSizeAttenuation()}),this.context.camera=o}},{key:"updateSizeAttenuation",value:function(){var n=this.getCamera().getZoom();this.document.documentElement.forEach(function(i){Ut.styleValueRegistry.updateSizeAttenuation(i,n)})}},{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 n=this;return this.readyPromise||(this.readyPromise=new Promise(function(i){n.resolveReadyPromise=function(){i(n)}}),this.inited&&this.resolveReadyPromise()),this.readyPromise}},{key:"destroy",value:function(){var n,i=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!0,a=arguments.length>1?arguments[1]:void 0;zn.clearCache();var s=((n=this.getConfig().future)===null||n===void 0?void 0:n.experimentalCancelEventPropagation)===!0;a||this.dispatchEvent(new Kn(ii.BEFORE_DESTROY),s,s),this.frameId&&this.cancelAnimationFrame(this.frameId);var o=this.getRoot();i&&(this.unmountChildren(o),this.document.destroy(),this.getEventService().destroy()),this.getRenderingService().destroy(),this.getContextService().destroy(),a||this.dispatchEvent(new Kn(ii.AFTER_DESTROY),s,s);var l=function(u){u.currentTarget=null,u.manager=null,u.target=null,u.relatedNode=null};l(Oc),l(Cc),l(df),l(am),l(ff),l(qi),l(cf),l(uf),l($p),Ut.textService.clearCache()}},{key:"changeSize",value:function(n,i){this.resize(n,i)}},{key:"resize",value:function(n,i){var a,s=this.context.config;s.width=n,s.height=i,this.getContextService().resize(n,i);var o=this.context.camera,l=o.getProjectionMode();o.setPosition(n/2,i/2,im).setFocalPoint(n/2,i/2,0),l===vi.ORTHOGRAPHIC?o.setOrthographic(n/-2,n/2,i/2,i/-2,o.getNear(),o.getFar()):o.setAspect(n/i);var c=((a=s.future)===null||a===void 0?void 0:a.experimentalCancelEventPropagation)===!0;this.dispatchEvent(new Kn(ii.RESIZE,{width:n,height:i}),c,c)}},{key:"appendChild",value:function(n,i){return this.document.documentElement.appendChild(n,i)}},{key:"insertBefore",value:function(n,i){return this.document.documentElement.insertBefore(n,i)}},{key:"removeChild",value:function(n){return this.document.documentElement.removeChild(n)}},{key:"removeChildren",value:function(){this.document.documentElement.removeChildren()}},{key:"destroyChildren",value:function(){this.document.documentElement.destroyChildren()}},{key:"render",value:function(n){var i,a=this;n&&(df.detail=n,ff.detail=n);var s=((i=this.getConfig().future)===null||i===void 0?void 0:i.experimentalCancelEventPropagation)===!0;this.dispatchEvent(df,s,s);var o=this.getRenderingService();o.render(this,n,function(){a.dispatchEvent(am,s,s)}),this.dispatchEvent(ff,s,s)}},{key:"run",value:function(){var n=this,i=function(s,o){n.render(o),n.frameId=n.requestAnimationFrame(i)};i()}},{key:"initRenderer",value:function(n){var i=this,a=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;if(!n)throw new Error("Renderer is required.");this.inited=!1,this.readyPromise=void 0,this.context.renderingPlugins=[],this.context.renderingPlugins.push(new nm,new rm,new em([new cT])),this.loadRendererContainerModule(n),this.context.contextService=new this.context.ContextService((0,D.Z)((0,D.Z)({},Ut),this.context)),this.context.renderingService=new SA(Ut,this.context),this.context.eventService=new wA(Ut,this.context),this.context.eventService.init(),this.context.contextService.init?(this.context.contextService.init(),this.initRenderingService(n,a,!0)):this.context.contextService.initAsync().then(function(){i.initRenderingService(n,a)}).catch(function(s){console.error(s)})}},{key:"initRenderingService",value:function(n){var i=this,a=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1,s=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!1;this.context.renderingService.init(function(){var o;i.inited=!0;var l=((o=i.getConfig().future)===null||o===void 0?void 0:o.experimentalCancelEventPropagation)===!0;a?s?i.requestAnimationFrame(function(){i.dispatchEvent(new Kn(ii.READY),l,l)}):i.dispatchEvent(new Kn(ii.READY),l,l):i.dispatchEvent(new Kn(ii.RENDERER_CHANGED),l,l),i.readyPromise&&i.resolveReadyPromise(),a||i.getRoot().forEach(function(c){var u,h;(u=(h=c).dirty)===null||u===void 0||u.call(h,!0,!0)}),i.mountChildren(i.getRoot()),n.getConfig().enableAutoRendering&&i.run()})}},{key:"loadRendererContainerModule",value:function(n){var i=this,a=n.getPlugins();a.forEach(function(s){s.context=i.context,s.init(Ut)})}},{key:"setRenderer",value:function(n){var i=this.getConfig();if(i.renderer!==n){var a=i.renderer;i.renderer=n,this.destroy(!1,!0),(0,k.Z)((a==null?void 0:a.getPlugins())||[]).reverse().forEach(function(s){s.destroy(Ut)}),this.initRenderer(n)}}},{key:"setCursor",value:function(n){var i=this.getConfig();i.cursor=n,this.getContextService().applyCursorStyle(n)}},{key:"unmountChildren",value:function(n){var i=this;if(n.childNodes.forEach(function(o){i.unmountChildren(o)}),this.inited){if(n.isMutationObserved)n.dispatchEvent(Cc);else{var a,s=((a=this.getConfig().future)===null||a===void 0?void 0:a.experimentalCancelEventPropagation)===!0;Cc.target=n,this.dispatchEvent(Cc,!0,s)}n!==this.document.documentElement&&(n.ownerDocument=null),n.isConnected=!1}n.isCustomElement&&n.disconnectedCallback&&n.disconnectedCallback()}},{key:"mountChildren",value:function(n){var i=this,a=arguments.length>1&&arguments[1]!==void 0?arguments[1]:xc(n);if(this.inited){if(!n.isConnected&&(n.ownerDocument=this.document,n.isConnected=!0,!a))if(n.isMutationObserved)n.dispatchEvent(Oc);else{var s,o=((s=this.getConfig().future)===null||s===void 0?void 0:s.experimentalCancelEventPropagation)===!0;Oc.target=n,this.dispatchEvent(Oc,!0,o)}}else 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: ",n.nodeName);n.childNodes.forEach(function(l){i.mountChildren(l,a)}),n.isCustomElement&&n.connectedCallback&&n.connectedCallback()}},{key:"mountFragment",value:function(n){this.mountChildren(n,!1)}},{key:"client2Viewport",value:function(n){return this.getEventService().client2Viewport(n)}},{key:"viewport2Client",value:function(n){return this.getEventService().viewport2Client(n)}},{key:"viewport2Canvas",value:function(n){return this.getEventService().viewport2Canvas(n)}},{key:"canvas2Viewport",value:function(n){return this.getEventService().canvas2Viewport(n)}},{key:"getPointByClient",value:function(n,i){return this.client2Viewport({x:n,y:i})}},{key:"getClientByPoint",value:function(n,i){return this.viewport2Client({x:n,y:i})}}])}(Hp);var dT=function(r){function t(){var e;(0,N.Z)(this,t);for(var n=arguments.length,i=new Array(n),a=0;a90)return this;this.computeMatrix()}return this._getAxes(),this.type===an.ORBITING||this.type===an.EXPLORING?this._getPosition():this.type===an.TRACKING&&this._getFocalPoint(),this._update(),this}},{key:"pan",value:function(n,i){var a=Ir(n,i,0),s=wt(this.position);return Vt(s,s,Rt(gt(),this.right,a[0])),Vt(s,s,Rt(gt(),this.up,a[1])),this._setPosition(s),this.triggerUpdate(),this}},{key:"dolly",value:function(n){var i=this.forward,a=wt(this.position),s=n*this.dollyingStep,o=this.distance+n*this.dollyingStep;return s=Math.max(Math.min(o,this.maxDistance),this.minDistance)-this.distance,a[0]+=s*i[0],a[1]+=s*i[1],a[2]+=s*i[2],this._setPosition(a),this.type===an.ORBITING||this.type===an.EXPLORING?this._getDistance():this.type===an.TRACKING&&Vt(this.focalPoint,a,this.distanceVector),this.triggerUpdate(),this}},{key:"cancelLandmarkAnimation",value:function(){this.landmarkAnimationID!==void 0&&this.canvas.cancelAnimationFrame(this.landmarkAnimationID)}},{key:"createLandmark",value:function(n){var i,a,s,o,l=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},c=l.position,u=c===void 0?this.position:c,h=l.focalPoint,d=h===void 0?this.focalPoint:h,f=l.roll,v=l.zoom,g=new Ut.CameraContribution;g.setType(this.type,void 0),g.setPosition(u[0],(i=u[1])!==null&&i!==void 0?i:this.position[1],(a=u[2])!==null&&a!==void 0?a:this.position[2]),g.setFocalPoint(d[0],(s=d[1])!==null&&s!==void 0?s:this.focalPoint[1],(o=d[2])!==null&&o!==void 0?o:this.focalPoint[2]),g.setRoll(f!=null?f:this.roll),g.setZoom(v!=null?v:this.zoom);var p={name:n,matrix:he(g.getWorldTransform()),right:wt(g.right),up:wt(g.up),forward:wt(g.forward),position:wt(g.getPosition()),focalPoint:wt(g.getFocalPoint()),distanceVector:wt(g.getDistanceVector()),distance:g.getDistance(),dollyingStep:g.getDollyingStep(),azimuth:g.getAzimuth(),elevation:g.getElevation(),roll:g.getRoll(),relAzimuth:g.relAzimuth,relElevation:g.relElevation,relRoll:g.relRoll,zoom:g.getZoom()};return this.landmarks.push(p),p}},{key:"gotoLandmark",value:function(n){var i=this,a=arguments.length>1&&arguments[1]!==void 0?arguments[1]:{},s=Ve(n)?this.landmarks.find(function(et){return et.name===n}):n;if(s){var o=ie(a)?{duration:a}:a,l=o.easing,c=l===void 0?"linear":l,u=o.duration,h=u===void 0?100:u,d=o.easingFunction,f=d===void 0?void 0:d,v=o.onfinish,g=v===void 0?void 0:v,p=o.onframe,y=p===void 0?void 0:p,b=.01;this.cancelLandmarkAnimation();var w=s.position,O=s.focalPoint,_=s.zoom,F=s.roll,W=f||Ut.EasingFunction(c),j,H=function(){i.setFocalPoint(O),i.setPosition(w),i.setRoll(F),i.setZoom(_),i.computeMatrix(),i.triggerUpdate(),g==null||g()};if(h===0)return H();var K=function(rt){j===void 0&&(j=rt);var lt=rt-j;if(lt>=h){H();return}var ht=W(lt/h),yt=gt(),Nt=gt(),Ct=1,pt=0;Le(yt,i.focalPoint,O,ht),Le(Nt,i.position,w,ht),pt=i.roll*(1-ht)+F*ht,Ct=i.zoom*(1-ht)+_*ht,i.setFocalPoint(yt),i.setPosition(Nt),i.setRoll(pt),i.setZoom(Ct);var xt=cs(yt,O)+cs(Nt,w);if(xt<=b&&_===void 0&&F===void 0)return H();i.computeMatrix(),i.triggerUpdate(),lt0&&Number(this._currentTime)>=this._totalDuration||this._playbackRate<0&&Number(this._currentTime)<=0)}},{key:"totalDuration",get:function(){return this._totalDuration}},{key:"_needsTick",get:function(){return this.pending||this.playState==="running"||!this._finishedFlag}},{key:"updatePromises",value:function(){var e;if((e=this.effect.target)!==null&&e!==void 0&&e.destroyed)return this.readyPromise=void 0,this.finishedPromise=void 0,!1;var n=this.oldPlayState,i=this.pending?"pending":this.playState;return this.readyPromise&&i!==n&&(i==="idle"?(this.rejectReadyPromise(),this.readyPromise=void 0):n==="pending"?this.resolveReadyPromise():i==="pending"&&(this.readyPromise=void 0)),this.finishedPromise&&i!==n&&(i==="idle"?(this.rejectFinishedPromise(),this.finishedPromise=void 0):i==="finished"?this.resolveFinishedPromise():n==="finished"&&(this.finishedPromise=void 0)),this.oldPlayState=i,this.readyPromise||this.finishedPromise}},{key:"play",value:function(){this.updatePromises(),this._paused=!1,(this._isFinished||this._idle)&&(this.rewind(),this._startTime=null),this._finishedFlag=!1,this._idle=!1,this.ensureAlive(),this.timeline.applyDirtiedAnimation(this),this.timeline.animations.indexOf(this)===-1&&this.timeline.animations.push(this),this.updatePromises()}},{key:"pause",value:function(){this.updatePromises(),this.currentTime&&(this._holdTime=this.currentTime),!this._isFinished&&!this._paused&&!this._idle?this.currentTimePending=!0:this._idle&&(this.rewind(),this._idle=!1),this._startTime=null,this._paused=!0,this.updatePromises()}},{key:"finish",value:function(){this.updatePromises(),!this._idle&&(this.currentTime=this._playbackRate>0?this._totalDuration:0,this._startTime=this._totalDuration-this.currentTime,this.currentTimePending=!1,this.timeline.applyDirtiedAnimation(this),this.updatePromises())}},{key:"cancel",value:function(){var e=this;if(this.updatePromises(),!!this._inEffect&&(this._inEffect=!1,this._idle=!0,this._paused=!1,this._finishedFlag=!0,this._currentTime=0,this._startTime=null,this.effect.update(null),this.timeline.applyDirtiedAnimation(this),this.updatePromises(),this.oncancel)){var n=new yf(null,this,this.currentTime,null);setTimeout(function(){e.oncancel(n)})}}},{key:"reverse",value:function(){this.updatePromises();var e=this.currentTime;this.playbackRate*=-1,this.play(),e!==null&&(this.currentTime=e),this.updatePromises()}},{key:"updatePlaybackRate",value:function(e){this.playbackRate=e}},{key:"targetAnimations",value:function(){var e,n=(e=this.effect)===null||e===void 0?void 0:e.target;return n.getAnimations()}},{key:"markTarget",value:function(){var e=this.targetAnimations();e.indexOf(this)===-1&&e.push(this)}},{key:"unmarkTarget",value:function(){var e=this.targetAnimations(),n=e.indexOf(this);n!==-1&&e.splice(n,1)}},{key:"tick",value:function(e,n){!this._idle&&!this._paused&&(this._startTime===null?n&&(this.startTime=e-this._currentTime/this.playbackRate):this._isFinished||this.tickCurrentTime((e-this._startTime)*this.playbackRate)),n&&(this.currentTimePending=!1,this.fireEvents(e))}},{key:"rewind",value:function(){if(this.playbackRate>=0)this.currentTime=0;else if(this._totalDuration<1/0)this.currentTime=this._totalDuration;else throw new Error("Unable to rewind negative playback rate animation with infinite duration")}},{key:"persist",value:function(){throw new Error(nn)}},{key:"addEventListener",value:function(e,n,i){throw new Error(nn)}},{key:"removeEventListener",value:function(e,n,i){throw new Error(nn)}},{key:"dispatchEvent",value:function(e){throw new Error(nn)}},{key:"commitStyles",value:function(){throw new Error(nn)}},{key:"ensureAlive",value:function(){if(this.playbackRate<0&&this.currentTime===0){var e;this._inEffect=!!((e=this.effect)!==null&&e!==void 0&&e.update(-1))}else{var n;this._inEffect=!!((n=this.effect)!==null&&n!==void 0&&n.update(this.currentTime))}!this._inTimeline&&(this._inEffect||!this._finishedFlag)&&(this._inTimeline=!0,this.timeline.animations.push(this))}},{key:"tickCurrentTime",value:function(e,n){e!==this._currentTime&&(this._currentTime=e,this._isFinished&&!n&&(this._currentTime=this._playbackRate>0?this._totalDuration:0),this.ensureAlive())}},{key:"fireEvents",value:function(e){var n=this;if(this._isFinished){if(!this._finishedFlag){if(this.onfinish){var i=new yf(null,this,this.currentTime,e);setTimeout(function(){n.onfinish&&n.onfinish(i)})}this._finishedFlag=!0}}else{if(this.onframe&&this.playState==="running"){var a=new yf(null,this,this.currentTime,e);this.onframe(a)}this._finishedFlag=!1}}}])}(),mT=4,yT=.001,bT=1e-7,xT=10,ol=11,kc=1/(ol-1),ET=typeof Float32Array=="function",lm=function(t,e){return 1-3*e+3*t},cm=function(t,e){return 3*e-6*t},um=function(t){return 3*t},Pc=function(t,e,n){return((lm(e,n)*t+cm(e,n))*t+um(e))*t},hm=function(t,e,n){return 3*lm(e,n)*t*t+2*cm(e,n)*t+um(e)},wT=function(t,e,n,i,a){var s,o,l=0;do o=e+(n-e)/2,s=Pc(o,i,a)-t,s>0?n=o:e=o;while(Math.abs(s)>bT&&++l=0&&t<=1&&n>=0&&n<=1))throw new Error("bezier x values must be in [0, 1] range");if(t===e&&n===i)return function(l){return l};for(var a=ET?new Float32Array(ol):new Array(ol),s=0;s=yT?ST(c,v,t,n):g===0?v:wT(c,u,u+kc,t,n)};return function(l){return l===0||l===1?l:Pc(o(l),e,i)}},MT=function(t){return t=t.replace(/([A-Z])/g,function(e){return"-".concat(e.toLowerCase())}),t.charAt(0)==="-"?t.substring(1):t},Rc=function(t){return Math.pow(t,2)},Lc=function(t){return Math.pow(t,3)},Dc=function(t){return Math.pow(t,4)},_c=function(t){return Math.pow(t,5)},Ic=function(t){return Math.pow(t,6)},Bc=function(t){return 1-Math.cos(t*Math.PI/2)},Fc=function(t){return 1-Math.sqrt(1-t*t)},zc=function(t){return t*t*(3*t-2)},jc=function(t){for(var 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i&&(l[c]=i[c])}),l}getLoopPath(t){const{sourcePort:e,targetPort:n}=t,i=this.sourceNode,a=Fa(i),s=Math.max(ta(a),ea(a)),{placement:o,clockwise:l,dist:c=s}=Qn(this.getGraphicStyle(t),"loop");return d3(i,o,l,c,e,n)}getEndpoints(t,e=!0,n=[]){const{sourcePort:i,targetPort:a}=t,{sourceNode:s,targetNode:o}=this,[l,c]=D3(s,o,i,a);if(!e){const f=l?Ya(l):s.getCenter(),v=c?Ya(c):o.getCenter();return[f,v]}const u=typeof n=="function"?n():n,h=w1(l||s,u[0]||c||o),d=w1(c||o,u[u.length-1]||l||s);return[h,d]}getHaloStyle(t){if(t.halo===!1)return!1;const e=this.getKeyStyle(t),n=Qn(this.getGraphicStyle(t),"halo");return Object.assign(Object.assign({},e),n)}getLabelStyle(t){if(t.label===!1||!t.labelText)return!1;const e=Qn(this.getGraphicStyle(t),"label"),{placement:n,offsetX:i,offsetY:a,autoRotate:s,maxWidth:o}=e,l=Pu(e,["placement","offsetX","offsetY","autoRotate","maxWidth"]),c=c1(this.shapeMap.key,n,s,i,a),u=this.shapeMap.key.getLocalBounds(),h=RN([u.min,u.max],o);return Object.assign({wordWrapWidth:h},c,l)}getBadgeStyle(t){if(t.badge===!1||!t.badgeText)return!1;const e=Qn(t,"badge"),{offsetX:n,offsetY:i,placement:a}=e,s=Pu(e,["offsetX","offsetY","placement"]);return Object.assign(s,s3(this.shapeMap,a,t.labelPlacement,n,i))}drawArrow(t,e){var n;const i=e==="start",s=t[e==="start"?"startArrow":"endArrow"],o=this.shapeMap.key;if(s){const l=this.getArrowStyle(t,i),[c,u,h]=i?["markerStart","markerStartOffset","startArrowOffset"]:["markerEnd","markerEndOffset","endArrowOffset"],d=o.parsedStyle[c];if(d)d.attr(l);else{const f=l.src?sl:ri,v=new f({style:l});o.style[c]=v}o.style[u]=t[h]||l.width/2+ +l.lineWidth}else{const l=i?"markerStart":"markerEnd";(n=o.style[l])===null||n===void 0||n.destroy(),o.style[l]=null}}getArrowStyle(t,e){const n=this.getShape("key").attributes,i=e?"startArrow":"endArrow",a=Qn(this.getGraphicStyle(t),i),{size:s,type:o}=a,l=Pu(a,["size","type"]),[c,u]=oi(p3(n.lineWidth,s)),d=(fe(o)?o:z[o]||v1)(c,u);return Object.assign(Bs(n,["stroke","strokeOpacity","fillOpacity"]),{width:c,height:u},Object.assign({},d&&{d,fill:o==="simple"?"":n.stroke}),l)}drawLabelShape(t,e){const n=this.getLabelStyle(t);this.upsert("label",Ga,n,e)}drawHaloShape(t,e){const n=this.getHaloStyle(t);this.upsert("halo",ri,n,e)}drawBadgeShape(t,e){const n=this.getBadgeStyle(t);this.upsert("badge",po,n,e)}drawSourceArrow(t){this.drawArrow(t,"start")}drawTargetArrow(t){this.drawArrow(t,"end")}drawKeyShape(t,e){const n=this.getKeyStyle(t);return this.upsert("key",ri,n,e)}render(t=this.parsedAttributes,e=this){this.drawKeyShape(t,e),this.getShape("key")&&(this.drawSourceArrow(t),this.drawTargetArrow(t),this.drawLabelShape(t,e),this.drawHaloShape(t,e),this.drawBadgeShape(t,e))}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(t,e){const n=super.animate(t,e);return n&&new Proxy(n,{set:(i,a,s)=>(a==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(i,a,s))})}}Ua.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 Fs extends Ua{constructor(t){super(hr({style:Fs.defaultStyleProps},t))}getKeyPath(t){const[e,n]=this.getEndpoints(t),{controlPoints:i,curvePosition:a,curveOffset:s}=t,o=this.getControlPoints(e,n,l3(a),o3(s),i);return h1(e,n,o)}getControlPoints(t,e,n,i,a){return(a==null?void 0:a.length)===2?a:[uv(t,e,n[0],i[0]),uv(t,e,n[1],i[1])]}}Fs.defaultStyleProps={curvePosition:.5,curveOffset:20};class Ru extends Fs{constructor(t){super(hr({style:Ru.defaultStyleProps},t))}getControlPoints(t,e,n,i){const a=e[0]-t[0];return[[t[0]+a*n[0]+i[0],t[1]],[e[0]-a*n[1]+i[1],e[1]]]}}Ru.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Lu extends Fs{constructor(t){super(hr({style:Lu.defaultStyleProps},t))}get ref(){return this.context.model.getRootsData()[0]}getEndpoints(t){if(this.sourceNode.id===this.ref.id)return super.getEndpoints(t);const e=ar(this.ref),n=this.sourceNode.getIntersectPoint(e,!0),i=this.targetNode.getIntersectPoint(e);return[n,i]}toRadialCoordinate(t){const e=ar(this.ref),n=bn(t,e),i=xy(on(t,e));return[n,i]}getControlPoints(t,e,n,i){const[a,s]=this.toRadialCoordinate(t),[o]=this.toRadialCoordinate(e),l=o-a;return[[t[0]+(l*n[0]+i[0])*Math.cos(s),t[1]+(l*n[0]+i[0])*Math.sin(s)],[e[0]-(l*n[1]-i[0])*Math.cos(s),e[1]-(l*n[1]-i[0])*Math.sin(s)]]}}Lu.defaultStyleProps={curvePosition:.5,curveOffset:20};class Du extends Fs{constructor(t){super(hr({style:Du.defaultStyleProps},t))}getControlPoints(t,e,n,i){const a=e[1]-t[1];return[[t[0],t[1]+a*n[0]+i[0]],[e[0],e[1]-a*n[1]+i[1]]]}}Du.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class _u extends Ua{constructor(t){super(hr({style:_u.defaultStyleProps},t))}getKeyPath(t){const[e,n]=this.getEndpoints(t);return[["M",e[0],e[1]],["L",n[0],n[1]]]}}_u.defaultStyleProps={};const S3={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:cu},ba=r=>`${Math.round(r[0])}|||${Math.round(r[1])}`;function zs(r,t){const e=n=>Math.round(n/t);return ie(r)?e(r):r.map(e)}function M3(r,t){const e=Math.abs(r-t);return e>Math.PI?2*Math.PI-e:e}function g1(r,t){const e=t[0]-r[0],n=t[1]-r[1];return!e&&!n?0:Math.atan2(n,e)}function p1(r,t,e,n){const i=g1(r,t),a=e[ba(r)],o=g1(a||n,r);return M3(o,i)}const A3=(r,t)=>{const{offset:e,gridSize:n}=t,i={};return r.forEach(a=>{if(!a||a.destroyed||!a.isVisible())return;const s=za(a.getRenderBounds(),e);for(let o=zs(s.min[0],n);o<=zs(s.max[0],n);o+=1)for(let l=zs(s.min[1],n);l<=zs(s.max[1],n);l+=1)i[`${o}|||${l}`]=!0}),i};function m1(r,t,e){return Math.min(...t.map(n=>e(r,n)))}function T3(r,t,e){let n=r[0],i=e(r[0],t);for(let a=0;a{if(!t)return[r];const{directionMap:i,offset:a}=n,s=za(t.getRenderBounds(),a),o=Object.keys(i).reduce((l,c)=>{if(e.includes(c)){const u=i[c],[h,d]=Ba(s),f=[r[0]+u.stepX*h,r[1]+u.stepY*d],v=TO(s);for(let g=0;gzs(l,n.gridSize))},O3=(r,t,e,n,i,a,s)=>{const o=[];let l=[a[0]===n[0]?n[0]:r[0]*s,a[1]===n[1]?n[1]:r[1]*s];o.unshift(l);let c=r,u=t[ba(c)];for(;u;){const f=u,v=c;p1(f,v,t,e)&&(l=[f[0]===v[0]?l[0]:f[0]*s,f[1]===v[1]?l[1]:f[1]*s],o.unshift(l)),u=t[ba(f)],c=f}const h=i.map(f=>[f[0]*s,f[1]*s]),d=T3(h,l,cu);return o.unshift(d),o};function C3(r,t,e,n){const i=Rs(r.getCenter()),a=Rs(t.getCenter()),s=Object.assign(S3,n),{gridSize:o}=s,l=s.enableObstacleAvoidance?e:[r,t],c=A3(l,s),u=zs(i,o),h=zs(a,o),d=y1(i,r,s.startDirections,s),f=y1(a,t,s.endDirections,s);d.forEach(j=>delete c[ba(j)]),f.forEach(j=>delete c[ba(j)]);const v={},g={},p={},y={},b={},w=new N3;for(let j=0;jba(j));let _=s.maximumLoops,F,W=1/0;for(const[j,H]of Object.entries(v))b[j]<=W&&(W=b[j],F=H);for(;Object.keys(v).length>0&&_>0;){const j=w.minId(!1);if(j)F=v[j];else break;const H=ba(F);if(O.includes(H))return O3(F,p,u,a,d,h,o);delete v[H],w.remove(H),g[H]=!0;for(const K of Object.values(s.directionMap)){const et=Ce(F,[K.stepX,K.stepY]),rt=ba(et);if(g[rt])continue;const lt=p1(F,et,p,u);if(lt>s.maxAllowedDirectionChange||c[rt])continue;v[rt]||(v[rt]=et);const ht=s.penalties[lt],yt=s.distFunc(F,et)+(isNaN(ht)?o:ht),Nt=y[H]+yt,Ct=y[rt];Ct&&Nt>=Ct||(p[rt]=F,y[rt]=Nt,b[rt]=Nt+m1(et,f,s.distFunc),w.add({id:rt,value:b[rt]}))}_-=1}return[]}class N3{constructor(){this.arr=[],this.map={},this.arr=[],this.map={}}_innerAdd(t,e){let n=0,i=e-1;for(;i-n>1;){const a=Math.floor((n+i)/2);if(this.arr[a].value>t.value)i=a;else if(this.arr[a].value=0;e--)this.map[this.arr[e].id]?t=this.arr[e].id:this.arr.splice(e,1);return t}_findFirstId(){for(;this.arr.length;){const t=this.arr.shift();if(this.map[t.id])return t.id}}minId(t){return t?this._clearAndGetMinId():this._findFirstId()}}class Iu extends Ua{constructor(t){super(hr({style:Iu.defaultStyleProps},t))}getControlPoints(t){const{router:e}=t,{sourceNode:n,targetNode:i}=this,[a,s]=this.getEndpoints(t,!1);let o=[];if(!e)o=t.controlPoints;else if(e.type==="shortest-path"){const l=this.context.element.getNodes();o=C3(n,i,l,e),o.length||(o=a1(a,s,n,i,t.controlPoints,{padding:e.offset}))}else e.type==="orth"&&(o=a1(a,s,n,i,t.controlPoints,e));return o}getPoints(t){const e=this.getControlPoints(t),[n,i]=this.getEndpoints(t,!0,e);return[n,...e,i]}getKeyPath(t){const e=this.getPoints(t);return hv(e,t.radius)}getLoopPath(t){const{sourcePort:e,targetPort:n,radius:i}=t,a=this.sourceNode,s=Fa(a),o=Math.max(ta(s),ea(s))/4,{placement:l,clockwise:c,dist:u=o}=Qn(this.getGraphicStyle(t),"loop");return v3(a,i,l,c,u,e,n)}}Iu.defaultStyleProps={radius:0,controlPoints:[],router:!1};class Bu extends Ua{constructor(t){super(hr({style:Bu.defaultStyleProps},t))}getKeyPath(t){const{curvePosition:e,curveOffset:n}=t,[i,a]=this.getEndpoints(t),s=t.controlPoint||uv(i,a,e,n);return c3(i,a,s)}}Bu.defaultStyleProps={curvePosition:.5,curveOffset:30};var k3=function(r,t){var e={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&t.indexOf(n)<0&&(e[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols=="function")for(var i=0,n=Object.getOwnPropertySymbols(r);i{var a;const{key:s,placement:o}=n;x1(n)&&(t[a=s||i]||(t[a]=ma(r.getShape("key").getBounds(),o)))}),t}function x1(r){const{r:t}=r;return!t||Number(t)===0}function Ya(r){return fo(r)?r:r.getPosition()}function D3(r,t,e,n){const i=E1(r,t,e,n),a=E1(t,r,n,e);return[i,a]}function E1(r,t,e,n){const i=gv(r);if(e)return i[e];const a=Object.values(i);if(a.length===0)return;const s=a.map(c=>Ya(c)),o=_3(t,n),[l]=EN(s,o);return a.find(c=>Ya(c)===l)}function _3(r,t){const e=gv(r);if(t)return[Ya(e[t])];const n=Object.values(e);return n.length>0?n.map(i=>Ya(i)):[r.getCenter()]}function w1(r,t){return fv(r)||Al(r)?pv(r,t):Tl(r,t)}function Tl(r,t){if(!r||!t)return[0,0,0];if(fo(r))return r;if(r.attributes.linkToCenter)return r.getPosition();const e=fo(t)?t:Al(t)?t.getCenter():t.getPosition();return hu(e,r.getBounds())}function pv(r,t){if(!r||!t)return[0,0,0];const e=fo(t)?t:Al(t)?t.getCenter():t.getPosition();return r.getIntersectPoint(e)||r.getCenter()}function S1(r,t="bottom",e=0,n=0,i=!1){const a=t.split("-"),[s,o]=ma(r,t),[l,c]=i?["bottom","top"]:["top","bottom"],u=a.includes("top")?c:a.includes("bottom")?l:"middle",h=a.includes("left")?"right":a.includes("right")?"left":"center";return{transform:[["translate",s+e,o+n]],textBaseline:u,textAlign:h}}function I3(r,t){return[[0,-r],[t*Math.cos(3*Math.PI/10),-t*Math.sin(3*Math.PI/10)],[r*Math.cos(Math.PI/10),-r*Math.sin(Math.PI/10)],[t*Math.cos(Math.PI/10),t*Math.sin(Math.PI/10)],[r*Math.cos(3*Math.PI/10),r*Math.sin(3*Math.PI/10)],[0,t],[-r*Math.cos(3*Math.PI/10),r*Math.sin(3*Math.PI/10)],[-t*Math.cos(Math.PI/10),t*Math.sin(Math.PI/10)],[-r*Math.cos(Math.PI/10),-r*Math.sin(Math.PI/10)],[-t*Math.cos(3*Math.PI/10),-t*Math.sin(3*Math.PI/10)]]}function B3(r,t){const e={};return e.top=[0,-r],e.left=[-r*Math.cos(Math.PI/10),-r*Math.sin(Math.PI/10)],e["left-bottom"]=[-r*Math.cos(3*Math.PI/10),r*Math.sin(3*Math.PI/10)],e.bottom=[0,t],e["right-bottom"]=[r*Math.cos(3*Math.PI/10),r*Math.sin(3*Math.PI/10)],e.right=e.default=[r*Math.cos(Math.PI/10),-r*Math.sin(Math.PI/10)],e}function F3(r,t,e){const n=t/2,i=r/2,a={up:[[-i,n],[i,n],[0,-n]],left:[[-i,0],[i,n],[i,-n]],right:[[-i,n],[-i,-n],[i,0]],down:[[-i,-n],[i,-n],[0,n]]};return a[e]||a.up}function z3(r,t,e){const n=t/2,i=r/2,a={};return e==="down"?(a.bottom=a.default=[0,n],a.right=[i,-n],a.left=[-i,-n]):e==="left"?(a.top=[i,-n],a.bottom=[i,n],a.left=a.default=[-i,0]):e==="right"?(a.top=[-i,-n],a.bottom=[-i,n],a.right=a.default=[i,0]):(a.left=[-i,n],a.top=a.default=[0,-n],a.right=[i,n]),a}function n7(r,t){return[[r/2,-t/2],[r/2,t/2],[-r/2,t/2],[-r/2,-t/2]]}function j3(r,t){return[[0,-t/2],[r/2,0],[0,t/2],[-r/2,0]]}function M1(r){return br(r,["style","visibility"])!=="hidden"}function Z3(r,t){const{zIndex:e,transform:n,transformOrigin:i,visibility:a,cursor:s,clipPath:o,component:l}=t,c=k3(t,["zIndex","transform","transformOrigin","visibility","cursor","clipPath","component"]);Object.assign(r.attributes,c),n&&r.setAttribute("transform",n),ie(e)&&r.setAttribute("zIndex",e),i&&r.setAttribute("transformOrigin",i),a&&r.setAttribute("visibility",a),s&&r.setAttribute("cursor",s),o&&r.setAttribute("clipPath",o),l&&r.setAttribute("component",l)}function mv(r,t){"update"in r?r.update(t):r.attr(t)}function W3(r){return[[0,r],[r*Math.sqrt(3)/2,r/2],[r*Math.sqrt(3)/2,-r/2],[0,-r],[-r*Math.sqrt(3)/2,-r/2],[-r*Math.sqrt(3)/2,r/2]]}function G3(r){bl(r,"__to_be_destroyed__",!0)}function Ol(r){return br(r,"__to_be_destroyed__",!1)}var V3=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};class Fu extends si{constructor(t,e){super(t,Object.assign({},Fu.defaultOptions,e)),this.onCollapseExpand=n=>V3(this,void 0,void 0,function*(){if(!this.validate(n))return;const{target:i}=n;if(!P3(i))return;const a=i.id,{model:s,graph:o}=this.context,l=s.getElementDataById(a);if(!l)return!1;const{onCollapse:c,onExpand:u,animation:h,align:d}=this.options;Qr(l)?(yield o.expandElement(a,{animation:h,align:d}),u==null||u(a)):(yield o.collapseElement(a,{animation:h,align:d}),c==null||c(a))}),this.bindEvents()}update(t){this.unbindEvents(),super.update(t),this.bindEvents()}bindEvents(){const{graph:t}=this.context,{trigger:e}=this.options;t.on(`node:${e}`,this.onCollapseExpand),t.on(`combo:${e}`,this.onCollapseExpand)}unbindEvents(){const{graph:t}=this.context,{trigger:e}=this.options;t.off(`node:${e}`,this.onCollapseExpand),t.off(`combo:${e}`,this.onCollapseExpand)}validate(t){if(this.destroyed)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}destroy(){this.unbindEvents(),super.destroy()}}Fu.defaultOptions={enable:!0,animation:!0,trigger:Bt.DBLCLICK,align:!0};var zu={},U3=function(r){return r=r||"g",zu[r]?zu[r]+=1:zu[r]=1,r+zu[r]},ju=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};const Y3="g6-create-edge-assist-edge-id",Zu="g6-create-edge-assist-node-id";class Wu extends si{constructor(t,e){super(t,Object.assign({},Wu.defaultOptions,e)),this.drop=n=>ju(this,void 0,void 0,function*(){const{targetType:i}=n;["combo","node"].includes(i)&&this.source?yield this.handleCreateEdge(n):yield this.cancelEdge()}),this.handleCreateEdge=n=>ju(this,void 0,void 0,function*(){var i,a,s;if(!this.validate(n))return;const{graph:o,canvas:l,batch:c,element:u}=this.context,{style:h}=this.options;if(this.source){this.createEdge(n),yield this.cancelEdge();return}c.startBatch(),l.setCursor("crosshair"),this.source=this.getSelectedNodeIDs([n.target.id])[0];const d=o.getElementData(this.source);o.addNodeData([{id:Zu,style:{visibility:"hidden",ports:[{key:"port-1",placement:[.5,.5]}],x:(i=d.style)===null||i===void 0?void 0:i.x,y:(a=d.style)===null||a===void 0?void 0:a.y}}]),o.addEdgeData([{id:Y3,source:this.source,target:Zu,style:Object.assign({pointerEvents:"none"},h)}]),yield(s=u.draw({animation:!1}))===null||s===void 0?void 0:s.finished}),this.updateAssistEdge=n=>ju(this,void 0,void 0,function*(){var i;if(!this.source)return;const{model:a,element:s}=this.context;a.translateNodeTo(Zu,[n.canvas.x,n.canvas.y]),yield(i=s.draw({animation:!1,silence:!0}))===null||i===void 0?void 0:i.finished}),this.createEdge=n=>{var i,a;const{graph:s}=this.context,{style:o,onFinish:l,onCreate:c}=this.options;if(((i=n.target)===null||i===void 0?void 0:i.id)===void 0||this.source===void 0)return;const h=(a=this.getSelectedNodeIDs([n.target.id]))===null||a===void 0?void 0:a[0],d=`${this.source}-${h}-${U3()}`,f=c({id:d,source:this.source,target:h,style:o});f&&(s.addEdgeData([f]),l(f))},this.cancelEdge=()=>ju(this,void 0,void 0,function*(){var n;if(!this.source)return;const{graph:i,element:a,batch:s}=this.context;i.removeNodeData([Zu]),this.source=void 0,yield(n=a.draw({animation:!1}))===null||n===void 0?void 0:n.finished,s.endBatch()}),this.bindEvents()}update(t){super.update(t),this.bindEvents()}bindEvents(){const{graph:t}=this.context,{trigger:e}=this.options;this.unbindEvents(),e==="click"?(t.on(bi.CLICK,this.handleCreateEdge),t.on(Cs.CLICK,this.handleCreateEdge),t.on(fa.CLICK,this.cancelEdge),t.on(Yc.CLICK,this.cancelEdge)):(t.on(bi.DRAG_START,this.handleCreateEdge),t.on(Cs.DRAG_START,this.handleCreateEdge),t.on(Bt.POINTER_UP,this.drop)),t.on(Bt.POINTER_MOVE,this.updateAssistEdge)}getSelectedNodeIDs(t){return Array.from(new Set(this.context.graph.getElementDataByState("node",this.options.state).map(e=>e.id).concat(t)))}validate(t){if(this.destroyed)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}unbindEvents(){const{graph:t}=this.context;t.off(bi.CLICK,this.handleCreateEdge),t.off(Cs.CLICK,this.handleCreateEdge),t.off(fa.CLICK,this.cancelEdge),t.off(Yc.CLICK,this.cancelEdge),t.off(bi.DRAG_START,this.handleCreateEdge),t.off(Cs.DRAG_START,this.handleCreateEdge),t.off(Bt.POINTER_UP,this.drop),t.off(Bt.POINTER_MOVE,this.updateAssistEdge)}destroy(){this.unbindEvents(),super.destroy()}}Wu.defaultOptions={animation:!0,enable:!0,style:{},trigger:"drag",onCreate:r=>r,onFinish:()=>{}};function H3(r,t,e){var n;return function(){var i=this,a=arguments,s=function(){n=null,e||r.apply(i,a)},o=e&&!n;clearTimeout(n),n=setTimeout(s,t),o&&r.apply(i,a)}}var Cl=H3,A1=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};class Gu extends si{constructor(t,e){super(t,Object.assign({},Gu.defaultOptions,e)),this.isDragging=!1,this.onDragStart=n=>{this.validate(n)&&(this.isDragging=!0,this.context.canvas.setCursor("grabbing"))},this.onDrag=n=>{var i,a,s,o;if(!this.isDragging||Wn.isPinching)return;const l=(a=(i=n.movement)===null||i===void 0?void 0:i.x)!==null&&a!==void 0?a:n.dx,c=(o=(s=n.movement)===null||s===void 0?void 0:s.y)!==null&&o!==void 0?o:n.dy;l|c&&this.translate([l,c],!1)},this.onDragEnd=()=>{var n,i;this.isDragging=!1,this.context.canvas.setCursor(this.defaultCursor),(i=(n=this.options).onFinish)===null||i===void 0||i.call(n)},this.invokeOnFinish=Cl(()=>{var n,i;(i=(n=this.options).onFinish)===null||i===void 0||i.call(n)},300),this.shortcut=new go(t.graph),this.bindEvents(),this.defaultCursor=this.context.canvas.getConfig().cursor||"default"}update(t){this.unbindEvents(),super.update(t),this.bindEvents()}bindEvents(){const{trigger:t}=this.options;if(Fn(t)){const{up:e=[],down:n=[],left:i=[],right:a=[]}=t;this.shortcut.bind(e,s=>this.onTranslate([0,1],s)),this.shortcut.bind(n,s=>this.onTranslate([0,-1],s)),this.shortcut.bind(i,s=>this.onTranslate([1,0],s)),this.shortcut.bind(a,s=>this.onTranslate([-1,0],s))}else{const{graph:e}=this.context;e.on(Bt.DRAG_START,this.onDragStart),e.on(Bt.DRAG,this.onDrag),e.on(Bt.DRAG_END,this.onDragEnd)}}onTranslate(t,e){return A1(this,void 0,void 0,function*(){if(!this.validate(e))return;const{sensitivity:n}=this.options,i=n*-1;yield this.translate(_i(t,i),this.options.animation),this.invokeOnFinish()})}translate(t,e){return A1(this,void 0,void 0,function*(){t=this.clampByDirection(t),t=this.clampByRange(t),t=this.clampByRotation(t),yield this.context.graph.translateBy(t,e)})}clampByRotation([t,e]){const n=this.context.graph.getRotation();if(n%360===0)return[t,e];const i=n*Math.PI/180,a=Math.cos(i),s=Math.sin(i);return[t*a-e*s,t*s+e*a]}clampByDirection([t,e]){const{direction:n}=this.options;return n==="x"?e=0:n==="y"&&(t=0),[t,e]}clampByRange([t,e]){const{viewport:n,canvas:i}=this.context,[a,s]=i.getSize(),[o,l,c,u]=Ri(this.options.range),h=[s*o,a*l,s*c,a*u],d=za(Nf(n.getCanvasCenter()),h),f=on(n.getViewportCenter(),[t,e,0]);if(!Li(f,d)){const{min:[v,g],max:[p,y]}=d;(f[0]0||f[0]>p&&t<0)&&(t=0),(f[1]0||f[1]>y&&e<0)&&(e=0)}return[t,e]}validate(t){if(this.destroyed)return!1;const{enable:e}=this.options;return typeof e=="function"?e(t):!!e}unbindEvents(){this.shortcut.unbindAll();const{graph:t}=this.context;t.off(Bt.DRAG_START,this.onDragStart),t.off(Bt.DRAG,this.onDrag),t.off(Bt.DRAG_END,this.onDragEnd)}destroy(){this.shortcut.destroy(),this.unbindEvents(),this.context.canvas.setCursor(this.defaultCursor),super.destroy()}}Gu.defaultOptions={enable:r=>"targetType"in r?r.targetType==="canvas":!0,sensitivity:10,direction:"both",range:1/0};var T1=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};class Nl extends si{constructor(t,e){super(t,Object.assign({},Nl.defaultOptions,e)),this.enable=!1,this.enableElements=["node","combo"],this.target=[],this.shadowOrigin=[0,0],this.hiddenEdges=[],this.isDragging=!1,this.onDrop=n=>T1(this,void 0,void 0,function*(){var i;if(this.options.dropEffect!=="link")return;const{model:a,element:s}=this.context,o=n.target.id;this.target.forEach(l=>{const c=a.getParentData(l,hn);c&&At(c)===o&&a.refreshComboData(o),a.setParent(l,o,hn)}),yield(i=s==null?void 0:s.draw({animation:!0}))===null||i===void 0?void 0:i.finished}),this.setCursor=n=>{if(this.isDragging)return;const{type:i}=n,{canvas:a}=this.context,{cursor:s}=this.options;i===Bt.POINTER_ENTER?a.setCursor((s==null?void 0:s.grab)||"grab"):a.setCursor((s==null?void 0:s.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(t){this.unbindEvents(),super.update(t),this.bindEvents()}bindEvents(){const{graph:t,canvas:e}=this.context,n=e.getLayer().getContextService().$canvas;n&&(n.addEventListener("blur",this.onDragEnd),n.addEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(i=>{t.on(`${i}:${Bt.DRAG_START}`,this.onDragStart),t.on(`${i}:${Bt.DRAG}`,this.onDrag),t.on(`${i}:${Bt.DRAG_END}`,this.onDragEnd),t.on(`${i}:${Bt.POINTER_ENTER}`,this.setCursor),t.on(`${i}:${Bt.POINTER_LEAVE}`,this.setCursor)}),["link"].includes(this.options.dropEffect)&&(t.on(Cs.DROP,this.onDrop),t.on(fa.DROP,this.onDrop))}getSelectedNodeIDs(t){return Array.from(new Set(this.context.graph.getElementDataByState("node",this.options.state).map(e=>e.id).concat(t)))}getDelta(t){const e=this.context.graph.getZoom();return Ii([t.dx,t.dy],e)}onDragStart(t){var e;if(this.enable=this.validate(t),!this.enable)return;const{batch:n,canvas:i,graph:a}=this.context;i.setCursor(((e=this.options.cursor)===null||e===void 0?void 0:e.grabbing)||"grabbing"),this.isDragging=!0,n.startBatch();const s=t.target.id;a.getElementState(s).includes(this.options.state)?this.target=this.getSelectedNodeIDs([s]):this.target=[s],this.hideEdge(),this.context.graph.frontElement(this.target),this.options.shadow&&this.createShadow(this.target)}onDrag(t){if(!this.enable)return;const e=this.getDelta(t);this.options.shadow?this.moveShadow(e):this.moveElement(this.target,e)}onDragEnd(){var t,e,n;if(!this.enable)return;if(this.enable=!1,this.options.shadow){if(!this.shadow)return;this.shadow.style.visibility="hidden";const{x:s=0,y:o=0}=this.shadow.attributes,[l,c]=on([+s,+o],this.shadowOrigin);this.moveElement(this.target,[l,c])}this.showEdges(),(e=(t=this.options).onFinish)===null||e===void 0||e.call(t,this.target);const{batch:i,canvas:a}=this.context;i.endBatch(),a.setCursor(((n=this.options.cursor)===null||n===void 0?void 0:n.grab)||"grab"),this.isDragging=!1,this.target=[]}validate(t){if(this.destroyed||Ol(t.target)||this.context.graph.isCollapsingExpanding)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}moveElement(t,e){return T1(this,void 0,void 0,function*(){const{graph:n,model:i}=this.context,{dropEffect:a}=this.options;a==="move"&&t.forEach(s=>i.refreshComboData(s)),n.translateElementBy(Object.fromEntries(t.map(s=>[s,e])),!1)})}moveShadow(t){if(!this.shadow)return;const{x:e=0,y:n=0}=this.shadow.attributes,[i,a]=t;this.shadow.attr({x:+e+i,y:+n+a})}createShadow(t){const e=Qn(this.options,"shadow"),n=dl(t.map(c=>this.context.element.getElement(c).getBounds())),[i,a]=n.min;this.shadowOrigin=[i,a];const[s,o]=Ba(n),l={width:s,height:o,x:i,y:a};this.shadow?this.shadow.attr(Object.assign(Object.assign(Object.assign({},e),l),{visibility:"visible"})):(this.shadow=new pr({style:Object.assign(Object.assign(Object.assign({$layer:"transient"},e),l),{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:t,shadow:e}=this.options;if(t==="none"||e)return;const{graph:n}=this.context;t==="all"?this.hiddenEdges=n.getEdgeData().map(At):this.hiddenEdges=Array.from(new Set(this.target.map(i=>n.getRelatedEdgesData(i,t).map(At)).flat())),n.hideElement(this.hiddenEdges)}unbindEvents(){const{graph:t,canvas:e}=this.context,n=e.getLayer().getContextService().$canvas;n&&(n.removeEventListener("blur",this.onDragEnd),n.removeEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(i=>{t.off(`${i}:${Bt.DRAG_START}`,this.onDragStart),t.off(`${i}:${Bt.DRAG}`,this.onDrag),t.off(`${i}:${Bt.DRAG_END}`,this.onDragEnd),t.off(`${i}:${Bt.POINTER_ENTER}`,this.setCursor),t.off(`${i}:${Bt.POINTER_LEAVE}`,this.setCursor)}),t.off(`combo:${Bt.DROP}`,this.onDrop),t.off(`canvas:${Bt.DROP}`,this.onDrop)}destroy(){var t;this.unbindEvents(),(t=this.shadow)===null||t===void 0||t.destroy(),super.destroy()}}Nl.defaultOptions={animation:!0,enable:r=>["node","combo"].includes(r.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 X3="*",K3=function(){function r(){this._events={}}return r.prototype.on=function(t,e,n){return this._events[t]||(this._events[t]=[]),this._events[t].push({callback:e,once:!!n}),this},r.prototype.once=function(t,e){return this.on(t,e,!0)},r.prototype.emit=function(t){for(var e=this,n=[],i=1;i{t.has(s.id)||(t.add(s.id),r.push(s))})}return!1}function Uu(r,t,e,n){if(e(r))return!0;t.add(r.id);for(const a of n(r.id))if(!t.has(a.id)&&Uu(a,t,e,n))return!0;return!1}const O1=()=>!0;class Q3{constructor(t){Cn(this,"graph");Cn(this,"nodeFilter");Cn(this,"edgeFilter");Cn(this,"cacheEnabled");Cn(this,"inEdgesMap",new Map);Cn(this,"outEdgesMap",new Map);Cn(this,"bothEdgesMap",new Map);Cn(this,"allNodesMap",new Map);Cn(this,"allEdgesMap",new Map);Cn(this,"clearCache",()=>{this.inEdgesMap.clear(),this.outEdgesMap.clear(),this.bothEdgesMap.clear(),this.allNodesMap.clear(),this.allEdgesMap.clear()});Cn(this,"refreshCache",()=>{this.clearCache(),this.updateCache(this.graph.getAllNodes().map(t=>t.id))});Cn(this,"updateCache",t=>{const e=new Set;t.forEach(n=>{const i=this.bothEdgesMap.get(n);if(i&&i.forEach(a=>e.add(a.id)),!this.hasNode(n))this.inEdgesMap.delete(n),this.outEdgesMap.delete(n),this.bothEdgesMap.delete(n),this.allNodesMap.delete(n);else{const a=this.graph.getRelatedEdges(n,"in").filter(this.edgeFilter),s=this.graph.getRelatedEdges(n,"out").filter(this.edgeFilter),o=Array.from(new Set([...a,...s]));o.forEach(l=>e.add(l.id)),this.inEdgesMap.set(n,a),this.outEdgesMap.set(n,s),this.bothEdgesMap.set(n,o),this.allNodesMap.set(n,this.graph.getNode(n))}}),e.forEach(n=>{this.hasEdge(n)?this.allEdgesMap.set(n,this.graph.getEdge(n)):this.allEdgesMap.delete(n)})});Cn(this,"handleGraphChanged",t=>{const e=new Set;t.changes.forEach(n=>{switch(n.type){case"NodeAdded":e.add(n.value.id);break;case"NodeDataUpdated":e.add(n.id);break;case"EdgeAdded":e.add(n.value.source),e.add(n.value.target);break;case"EdgeUpdated":(n.propertyName==="source"||n.propertyName==="target")&&(e.add(n.oldValue),e.add(n.newValue));break;case"EdgeDataUpdated":if(t.graph.hasEdge(n.id)){const i=t.graph.getEdge(n.id);e.add(i.source),e.add(i.target)}break;case"EdgeRemoved":e.add(n.value.source),e.add(n.value.target);break;case"NodeRemoved":e.add(n.value.id);break;default:break}}),this.updateCache(e)});this.graph=t.graph;const e=t.nodeFilter||O1,n=t.edgeFilter||O1;this.nodeFilter=e,this.edgeFilter=i=>{const{source:a,target:s}=this.graph.getEdgeDetail(i.id);return!e(a)||!e(s)?!1:n(i,a,s)},t.cache==="auto"?(this.cacheEnabled=!0,this.startAutoCache()):t.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(t){this.getNode(t)}hasNode(t){if(!this.graph.hasNode(t))return!1;const e=this.graph.getNode(t);return this.nodeFilter(e)}areNeighbors(t,e){return this.checkNodeExistence(t),this.getNeighbors(e).some(n=>n.id===t)}getNode(t){const e=this.graph.getNode(t);if(!this.nodeFilter(e))throw new Error("Node not found for id: "+t);return e}getRelatedEdges(t,e){return this.checkNodeExistence(t),this.cacheEnabled?e==="in"?this.inEdgesMap.get(t):e==="out"?this.outEdgesMap.get(t):this.bothEdgesMap.get(t):this.graph.getRelatedEdges(t,e).filter(this.edgeFilter)}getDegree(t,e){return this.getRelatedEdges(t,e).length}getSuccessors(t){const n=this.getRelatedEdges(t,"out").map(i=>this.getNode(i.target));return Array.from(new Set(n))}getPredecessors(t){const n=this.getRelatedEdges(t,"in").map(i=>this.getNode(i.source));return Array.from(new Set(n))}getNeighbors(t){const e=this.getPredecessors(t),n=this.getSuccessors(t);return Array.from(new Set([...e,...n]))}hasEdge(t){if(!this.graph.hasEdge(t))return!1;const e=this.graph.getEdge(t);return this.edgeFilter(e)}getEdge(t){const e=this.graph.getEdge(t);if(!this.edgeFilter(e))throw new Error("Edge not found for id: "+t);return e}getEdgeDetail(t){const e=this.getEdge(t);return{edge:e,source:this.getNode(e.source),target:this.getNode(e.target)}}hasTreeStructure(t){return this.graph.hasTreeStructure(t)}getRoots(t){return this.graph.getRoots(t).filter(this.nodeFilter)}getChildren(t,e){return this.checkNodeExistence(t),this.graph.getChildren(t,e).filter(this.nodeFilter)}getParent(t,e){this.checkNodeExistence(t);const n=this.graph.getParent(t,e);return!n||!this.nodeFilter(n)?null:n}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(t,e,n="out"){const i={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[n];yv([this.getNode(t)],new Set,e,i)}dfs(t,e,n="out"){const i={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[n];Uu(this.getNode(t),new Set,e,i)}}class Vn extends Vu{constructor(e){super();Cn(this,"nodeMap",new Map);Cn(this,"edgeMap",new Map);Cn(this,"inEdgesMap",new Map);Cn(this,"outEdgesMap",new Map);Cn(this,"bothEdgesMap",new Map);Cn(this,"treeIndices",new Map);Cn(this,"changes",[]);Cn(this,"batchCount",0);Cn(this,"onChanged",()=>{});Cn(this,"batch",e=>{this.batchCount+=1,e(),this.batchCount-=1,this.batchCount||this.commit()});e&&(e.nodes&&this.addNodes(e.nodes),e.edges&&this.addEdges(e.edges),e.tree&&this.addTree(e.tree),e.onChanged&&(this.onChanged=e.onChanged))}commit(){const e=this.changes;this.changes=[];const n={graph:this,changes:e};this.emit("changed",n),this.onChanged(n)}reduceChanges(e){let n=[];return e.forEach(i=>{switch(i.type){case"NodeRemoved":{let a=!1;n=n.filter(s=>{if(s.type==="NodeAdded"){const o=s.value.id===i.value.id;return o&&(a=!0),!o}else{if(s.type==="NodeDataUpdated")return s.id!==i.value.id;if(s.type==="TreeStructureChanged")return s.nodeId!==i.value.id}return!0}),a||n.push(i);break}case"EdgeRemoved":{let a=!1;n=n.filter(s=>{if(s.type==="EdgeAdded"){const o=s.value.id===i.value.id;return o&&(a=!0),!o}else if(s.type==="EdgeDataUpdated"||s.type==="EdgeUpdated")return s.id!==i.value.id;return!0}),a||n.push(i);break}case"NodeDataUpdated":case"EdgeDataUpdated":case"EdgeUpdated":{const a=n.findIndex(o=>o.type===i.type&&o.id===i.id&&(i.propertyName===void 0||o.propertyName===i.propertyName)),s=n[a];s?i.propertyName!==void 0?s.newValue=i.newValue:(n.splice(a,1),n.push(i)):n.push(i);break}case"TreeStructureDetached":{n=n.filter(a=>a.type==="TreeStructureAttached"||a.type==="TreeStructureChanged"?a.treeKey!==i.treeKey:!0),n.push(i);break}case"TreeStructureChanged":{const a=n.find(s=>s.type==="TreeStructureChanged"&&s.treeKey===i.treeKey&&s.nodeId===i.nodeId);a?a.newParentId=i.newParentId:n.push(i);break}default:n.push(i);break}}),n}checkNodeExistence(e){this.getNode(e)}hasNode(e){return this.nodeMap.has(e)}areNeighbors(e,n){return this.getNeighbors(n).some(i=>i.id===e)}getNode(e){const n=this.nodeMap.get(e);if(!n)throw new Error("Node not found for id: "+e);return n}getRelatedEdges(e,n){if(this.checkNodeExistence(e),n==="in"){const i=this.inEdgesMap.get(e);return Array.from(i)}else if(n==="out"){const i=this.outEdgesMap.get(e);return Array.from(i)}else{const i=this.bothEdgesMap.get(e);return Array.from(i)}}getDegree(e,n){return this.getRelatedEdges(e,n).length}getSuccessors(e){const i=this.getRelatedEdges(e,"out").map(a=>this.getNode(a.target));return Array.from(new Set(i))}getPredecessors(e){const i=this.getRelatedEdges(e,"in").map(a=>this.getNode(a.source));return Array.from(new Set(i))}getNeighbors(e){const n=this.getPredecessors(e),i=this.getSuccessors(e);return Array.from(new Set([...n,...i]))}doAddNode(e){if(this.hasNode(e.id))throw new Error("Node already exists: "+e.id);this.nodeMap.set(e.id,e),this.inEdgesMap.set(e.id,new Set),this.outEdgesMap.set(e.id,new Set),this.bothEdgesMap.set(e.id,new Set),this.treeIndices.forEach(n=>{n.childrenMap.set(e.id,new Set)}),this.changes.push({type:"NodeAdded",value:e})}addNodes(e){this.batch(()=>{for(const n of e)this.doAddNode(n)})}addNode(e){this.addNodes([e])}doRemoveNode(e){const n=this.getNode(e),i=this.bothEdgesMap.get(e);i==null||i.forEach(a=>this.doRemoveEdge(a.id)),this.nodeMap.delete(e),this.treeIndices.forEach(a=>{var o,l;(o=a.childrenMap.get(e))==null||o.forEach(c=>{a.parentMap.delete(c.id)});const s=a.parentMap.get(e);s&&((l=a.childrenMap.get(s.id))==null||l.delete(n)),a.parentMap.delete(e),a.childrenMap.delete(e)}),this.bothEdgesMap.delete(e),this.inEdgesMap.delete(e),this.outEdgesMap.delete(e),this.changes.push({type:"NodeRemoved",value:n})}removeNodes(e){this.batch(()=>{e.forEach(n=>this.doRemoveNode(n))})}removeNode(e){this.removeNodes([e])}updateNodeDataProperty(e,n,i){const a=this.getNode(e);this.batch(()=>{const s=a.data[n],o=i;a.data[n]=o,this.changes.push({type:"NodeDataUpdated",id:e,propertyName:n,oldValue:s,newValue:o})})}mergeNodeData(e,n){this.batch(()=>{Object.entries(n).forEach(([i,a])=>{this.updateNodeDataProperty(e,i,a)})})}updateNodeData(...e){const n=e[0],i=this.getNode(n);if(typeof e[1]=="string"){this.updateNodeDataProperty(n,e[1],e[2]);return}let a;if(typeof e[1]=="function"){const s=e[1];a=s(i.data)}else typeof e[1]=="object"&&(a=e[1]);this.batch(()=>{const s=i.data,o=a;i.data=a,this.changes.push({type:"NodeDataUpdated",id:n,oldValue:s,newValue:o})})}checkEdgeExistence(e){if(!this.hasEdge(e))throw new Error("Edge not found for id: "+e)}hasEdge(e){return this.edgeMap.has(e)}getEdge(e){return this.checkEdgeExistence(e),this.edgeMap.get(e)}getEdgeDetail(e){const n=this.getEdge(e);return{edge:n,source:this.getNode(n.source),target:this.getNode(n.target)}}doAddEdge(e){if(this.hasEdge(e.id))throw new Error("Edge already exists: "+e.id);this.checkNodeExistence(e.source),this.checkNodeExistence(e.target),this.edgeMap.set(e.id,e);const n=this.inEdgesMap.get(e.target),i=this.outEdgesMap.get(e.source),a=this.bothEdgesMap.get(e.source),s=this.bothEdgesMap.get(e.target);n.add(e),i.add(e),a.add(e),s.add(e),this.changes.push({type:"EdgeAdded",value:e})}addEdges(e){this.batch(()=>{for(const n of e)this.doAddEdge(n)})}addEdge(e){this.addEdges([e])}doRemoveEdge(e){const n=this.getEdge(e),i=this.outEdgesMap.get(n.source),a=this.inEdgesMap.get(n.target),s=this.bothEdgesMap.get(n.source),o=this.bothEdgesMap.get(n.target);i.delete(n),a.delete(n),s.delete(n),o.delete(n),this.edgeMap.delete(e),this.changes.push({type:"EdgeRemoved",value:n})}removeEdges(e){this.batch(()=>{e.forEach(n=>this.doRemoveEdge(n))})}removeEdge(e){this.removeEdges([e])}updateEdgeSource(e,n){const i=this.getEdge(e);this.checkNodeExistence(n);const a=i.source,s=n;this.outEdgesMap.get(a).delete(i),this.bothEdgesMap.get(a).delete(i),this.outEdgesMap.get(s).add(i),this.bothEdgesMap.get(s).add(i),i.source=n,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:e,propertyName:"source",oldValue:a,newValue:s})})}updateEdgeTarget(e,n){const i=this.getEdge(e);this.checkNodeExistence(n);const a=i.target,s=n;this.inEdgesMap.get(a).delete(i),this.bothEdgesMap.get(a).delete(i),this.inEdgesMap.get(s).add(i),this.bothEdgesMap.get(s).add(i),i.target=n,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:e,propertyName:"target",oldValue:a,newValue:s})})}updateEdgeDataProperty(e,n,i){const a=this.getEdge(e);this.batch(()=>{const s=a.data[n],o=i;a.data[n]=o,this.changes.push({type:"EdgeDataUpdated",id:e,propertyName:n,oldValue:s,newValue:o})})}updateEdgeData(...e){const n=e[0],i=this.getEdge(n);if(typeof e[1]=="string"){this.updateEdgeDataProperty(n,e[1],e[2]);return}let a;if(typeof e[1]=="function"){const s=e[1];a=s(i.data)}else typeof e[1]=="object"&&(a=e[1]);this.batch(()=>{const s=i.data,o=a;i.data=a,this.changes.push({type:"EdgeDataUpdated",id:n,oldValue:s,newValue:o})})}mergeEdgeData(e,n){this.batch(()=>{Object.entries(n).forEach(([i,a])=>{this.updateEdgeDataProperty(e,i,a)})})}checkTreeExistence(e){if(!this.hasTreeStructure(e))throw new Error("Tree structure not found for treeKey: "+e)}hasTreeStructure(e){return this.treeIndices.has(e)}attachTreeStructure(e){this.treeIndices.has(e)||(this.treeIndices.set(e,{parentMap:new Map,childrenMap:new Map}),this.batch(()=>{this.changes.push({type:"TreeStructureAttached",treeKey:e})}))}detachTreeStructure(e){this.checkTreeExistence(e),this.treeIndices.delete(e),this.batch(()=>{this.changes.push({type:"TreeStructureDetached",treeKey:e})})}addTree(e,n){this.batch(()=>{this.attachTreeStructure(n);const i=[],a=Array.isArray(e)?e:[e];for(;a.length;){const s=a.shift();i.push(s),s.children&&a.push(...s.children)}this.addNodes(i),i.forEach(s=>{var o;(o=s.children)==null||o.forEach(l=>{this.setParent(l.id,s.id,n)})})})}getRoots(e){return this.checkTreeExistence(e),this.getAllNodes().filter(n=>!this.getParent(n.id,e))}getChildren(e,n){this.checkNodeExistence(e),this.checkTreeExistence(n);const a=this.treeIndices.get(n).childrenMap.get(e);return Array.from(a||[])}getParent(e,n){return this.checkNodeExistence(e),this.checkTreeExistence(n),this.treeIndices.get(n).parentMap.get(e)||null}getAncestors(e,n){const i=[];let a=this.getNode(e),s;for(;s=this.getParent(a.id,n);)i.push(s),a=s;return i}setParent(e,n,i){var u,h;this.checkTreeExistence(i);const a=this.treeIndices.get(i);if(!a)return;const s=this.getNode(e),o=a.parentMap.get(e);if((o==null?void 0:o.id)===n)return;if(n==null){o&&((u=a.childrenMap.get(o.id))==null||u.delete(s)),a.parentMap.delete(e);return}const l=this.getNode(n);a.parentMap.set(e,l),o&&((h=a.childrenMap.get(o.id))==null||h.delete(s));let c=a.childrenMap.get(l.id);c||(c=new Set,a.childrenMap.set(l.id,c)),c.add(s),this.batch(()=>{this.changes.push({type:"TreeStructureChanged",treeKey:i,nodeId:e,oldParentId:o==null?void 0:o.id,newParentId:l.id})})}dfsTree(e,n,i){const a=s=>this.getChildren(s,i);return Uu(this.getNode(e),new Set,n,a)}bfsTree(e,n,i){const a=s=>this.getChildren(s,i);return yv([this.getNode(e)],new Set,n,a)}getAllNodes(){return Array.from(this.nodeMap.values())}getAllEdges(){return Array.from(this.edgeMap.values())}bfs(e,n,i="out"){const a={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[i];return yv([this.getNode(e)],new Set,n,a)}dfs(e,n,i="out"){const a={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[i];return Uu(this.getNode(e),new Set,n,a)}clone(){const e=this.getAllNodes().map(a=>U0(Bo({},a),{data:Bo({},a.data)})),n=this.getAllEdges().map(a=>U0(Bo({},a),{data:Bo({},a.data)})),i=new Vn({nodes:e,edges:n});return this.treeIndices.forEach(({parentMap:a,childrenMap:s},o)=>{const l=new Map;a.forEach((u,h)=>{l.set(h,i.getNode(u.id))});const c=new Map;s.forEach((u,h)=>{c.set(h,new Set(Array.from(u).map(d=>i.getNode(d.id))))}),i.treeIndices.set(o,{parentMap:l,childrenMap:c})}),i}toJSON(){return JSON.stringify({nodes:this.getAllNodes(),edges:this.getAllEdges()})}createView(e){return new Q3(Bo({graph:this},e))}}class Yu{constructor(t,e){this.context=t,this.options=e||{}}}var q3=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})},J3=function(r,t){var e={};for(var n in r)Object.prototype.hasOwnProperty.call(r,n)&&t.indexOf(n)<0&&(e[n]=r[n]);if(r!=null&&typeof Object.getOwnPropertySymbols=="function")for(var i=0,n=Object.getOwnPropertySymbols(r);i{const a=i.data._isCombo?n.combos:n.nodes,{x:s,y:o,z:l=0}=i.data;a==null||a.push({id:i.id,style:{x:s,y:o,z:l}})}),e.forEach(i=>{const{id:a,source:s,target:o,data:{points:l=[],controlPoints:c=l.slice(1,l.length-1)}}=i;n.edges.push({id:a,source:s,target:o,style:Object.assign({},c!=null&&c.length?{controlPoints:c.map(yr)}:{})})}),n}function eP(r,t){class e extends Yu{constructor(i,a){if(super(i,a),this.instance=new r({}),this.id=this.instance.id,"stop"in this.instance&&"tick"in this.instance){const s=this.instance;this.stop=s.stop.bind(s),this.tick=o=>{const l=s.tick(o);return Hu(l)}}}execute(i,a){return q3(this,void 0,void 0,function*(){return Hu(yield this.instance.execute(this.graphData2LayoutModel(i),this.transformOptions(mr({},this.options,a))))})}transformOptions(i){if(!("onTick"in i))return i;const a=i.onTick;return i.onTick=s=>a(Hu(s)),i}graphData2LayoutModel(i){const{nodes:a=[],edges:s=[],combos:o=[]}=i,l=a.map(f=>{const v=At(f),{data:g,style:p,combo:y}=f,b=J3(f,["data","style","combo"]),w={id:v,data:Object.assign(Object.assign(Object.assign(Object.assign(Object.assign({},g),{data:g}),y?{parentId:y}:{}),{style:p}),b)};return p!=null&&p.x&&Object.assign(w.data,{x:p.x}),p!=null&&p.y&&Object.assign(w.data,{y:p.y}),p!=null&&p.z&&Object.assign(w.data,{z:p.z}),w}),c=new Map(l.map(f=>[f.id,f])),u=s.filter(f=>{const{source:v,target:g}=f;return c.has(v)&&c.has(g)}).map(f=>{const{source:v,target:g,data:p,style:y}=f;return{id:At(f),source:v,target:g,data:Object.assign({},p),style:Object.assign({},y)}}),h=o.map(f=>({id:At(f),data:Object.assign({_isCombo:!0},f.data),style:Object.assign({},f.style)})),d=new Vn({nodes:[...l,...h],edges:u});return t.model.model.hasTreeStructure(hn)&&(d.attachTreeStructure(hn),l.forEach(f=>{const v=t.model.model.getParent(f.id,hn);v&&d.hasNode(v.id)&&d.setParent(f.id,v.id,hn)})),d}}return e}function bv(r,t,...e){if(t in r)return r[t](...e);if("instance"in r){const n=r.instance;if(t in n)return n[t](...e)}return null}function C1(r,t){if(t in r)return r[t];if("instance"in r){const e=r.instance;if(t in e)return e[t]}return null}var nP=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};class rP extends Nl{get forceLayoutInstance(){return this.context.layout.getLayoutInstance().find(t=>["d3-force","d3-force-3d"].includes(t==null?void 0:t.id))}validate(t){return this.context.layout?this.forceLayoutInstance?super.validate(t):(Kr.warn("DragElementForce only works with d3-force or d3-force-3d layout"),!1):!1}moveElement(t,e){return nP(this,void 0,void 0,function*(){const n=this.forceLayoutInstance;this.context.graph.getNodeData(t).forEach((i,a)=>{const{x:s=0,y:o=0}=i.style||{};n&&bv(n,"setFixedPosition",t[a],[...Ce([+s,+o],e)])})})}onDragStart(t){if(this.enable=this.validate(t),!this.enable)return;this.target=this.getSelectedNodeIDs([t.target.id]),this.hideEdge(),this.context.graph.frontElement(this.target);const e=this.forceLayoutInstance;e&&C1(e,"simulation").alphaTarget(.3).restart(),this.context.graph.getNodeData(this.target).forEach(n=>{const{x:i=0,y:a=0}=n.style||{};e&&bv(e,"setFixedPosition",At(n),[+i,+a])})}onDrag(t){if(!this.enable)return;const e=this.getDelta(t);this.moveElement(this.target,e)}onDragEnd(){const t=this.forceLayoutInstance;t&&C1(t,"simulation").alphaTarget(0),!this.options.fixed&&this.context.graph.getNodeData(this.target).forEach(e=>{t&&bv(t,"setFixedPosition",At(e),[null,null,null])})}}var N1=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};class Xu extends si{constructor(t,e){super(t,Object.assign({},Xu.defaultOptions,e)),this.isZoomEvent=n=>!!(n.data&&"scale"in n.data),this.relatedEdgeToUpdate=new Set,this.zoom=this.context.graph.getZoom(),this.fixElementSize=n=>N1(this,void 0,void 0,function*(){if(!this.validate(n))return;const{graph:i}=this.context,{state:a,nodeFilter:s,edgeFilter:o,comboFilter:l}=this.options,c=(a?i.getElementDataByState("node",a):i.getNodeData()).filter(s),u=(a?i.getElementDataByState("edge",a):i.getEdgeData()).filter(o),h=(a?i.getElementDataByState("combo",a):i.getComboData()).filter(l),d=this.isZoomEvent(n)?this.zoom=Math.max(.01,Math.min(n.data.scale,10)):this.zoom,f=[...c,...h];f.length>0&&f.forEach(v=>this.fixNodeLike(v,d)),this.updateRelatedEdges(),u.length>0&&u.forEach(v=>this.fixEdge(v,d))}),this.cachedStyles=new Map,this.getOriginalFieldValue=(n,i,a)=>{var s;const o=this.cachedStyles.get(n)||[],l=((s=o.find(c=>c.shape===i))===null||s===void 0?void 0:s.style)||{};return a in l||(l[a]=i.attributes[a],this.cachedStyles.set(n,[...o.filter(c=>c.shape!==i),{shape:i,style:l}])),l[a]},this.scaleEntireElement=(n,i,a)=>{i.setLocalScale(1/a);const s=this.cachedStyles.get(n)||[];s.push({shape:i}),this.cachedStyles.set(n,s)},this.scaleSpecificShapes=(n,i,a)=>{const s=HN(n);(Array.isArray(a)?a:[a]).forEach(l=>{const{shape:c,fields:u}=l,h=typeof c=="function"?c(s):n.getShape(c);if(h){if(!u){this.scaleEntireElement(n.id,h,i);return}u.forEach(d=>{const f=this.getOriginalFieldValue(n.id,h,d);ie(f)&&(h.style[d]=f/i)})}})},this.skipIfExceedViewport=n=>{const{viewport:i}=this.context;return!(i!=null&&i.isInViewport(n.getRenderBounds(),!1,30))},this.fixNodeLike=(n,i)=>{const a=At(n),{element:s,model:o}=this.context,l=s.getElement(a);if(!l||this.skipIfExceedViewport(l))return;o.getRelatedEdgesData(a).forEach(h=>this.relatedEdgeToUpdate.add(At(h)));const u=this.options[l.type];if(!u){this.scaleEntireElement(a,l,i);return}this.scaleSpecificShapes(l,i,u)},this.fixEdge=(n,i)=>{const a=At(n),s=this.context.element.getElement(a);if(!s||this.skipIfExceedViewport(s))return;const o=this.options.edge;if(!o){s.style.transformOrigin="center",this.scaleEntireElement(a,s,i);return}this.scaleSpecificShapes(s,i,o)},this.updateRelatedEdges=()=>{const{element:n}=this.context;this.relatedEdgeToUpdate.size>0&&this.relatedEdgeToUpdate.forEach(i=>{const a=n.getElement(i);a==null||a.update({})}),this.relatedEdgeToUpdate.clear()},this.resetTransform=n=>N1(this,void 0,void 0,function*(){var i;!((i=n.data)===null||i===void 0)&&i.firstRender||(this.options.reset?this.restoreCachedStyles():this.fixElementSize({data:{scale:this.zoom}}))}),this.bindEvents()}restoreCachedStyles(){if(this.cachedStyles.size>0){this.cachedStyles.forEach(i=>{i.forEach(({shape:a,style:s})=>{if(ra(s))a.setLocalScale(1);else{if(this.options.state)return;Object.entries(s).forEach(([o,l])=>a.style[o]=l)}})});const{graph:t,element:e}=this.context,n=Object.keys(Object.fromEntries(this.cachedStyles)).filter(i=>i&&t.getElementType(i)==="node");if(n.length>0){const i=new Set;n.forEach(a=>{t.getRelatedEdgesData(a).forEach(s=>i.add(At(s)))}),i.forEach(a=>{const s=e==null?void 0:e.getElement(a);s==null||s.update({})})}}}bindEvents(){const{graph:t}=this.context;t.on(Kt.AFTER_DRAW,this.resetTransform),t.on(Kt.AFTER_TRANSFORM,this.fixElementSize)}unbindEvents(){const{graph:t}=this.context;t.off(Kt.AFTER_DRAW,this.resetTransform),t.off(Kt.AFTER_TRANSFORM,this.fixElementSize)}validate(t){if(this.destroyed)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}destroy(){this.unbindEvents(),super.destroy()}}Xu.defaultOptions={enable:r=>r.data.scale<1,nodeFilter:()=>!0,edgeFilter:()=>!0,comboFilter:()=>!0,edge:[{shape:"key",fields:["lineWidth"]},{shape:"halo",fields:["lineWidth"]},{shape:"label"}],reset:!1};var iP=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};class Ku extends si{constructor(t,e){super(t,Object.assign({},Ku.defaultOptions,e)),this.focus=n=>iP(this,void 0,void 0,function*(){if(!this.validate(n))return;const{graph:i}=this.context;yield i.focusElement(n.target.id,this.options.animation)}),this.bindEvents()}bindEvents(){const{graph:t}=this.context;this.unbindEvents(),Ls.forEach(e=>{t.on(`${e}:${Bt.CLICK}`,this.focus)})}validate(t){if(this.destroyed)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}unbindEvents(){const{graph:t}=this.context;Ls.forEach(e=>{t.off(`${e}:${Bt.CLICK}`,this.focus)})}destroy(){this.unbindEvents(),super.destroy()}}Ku.defaultOptions={animation:{easing:"ease-in",duration:500},enable:!0};class Qu extends si{constructor(t,e){super(t,Object.assign({},Qu.defaultOptions,e)),this.isFrozen=!1,this.toggleFrozen=n=>{this.isFrozen=n.type==="dragstart"},this.hoverElement=n=>{if(!this.validate(n))return;const i=n.type===Bt.POINTER_ENTER;this.updateElementsState(n,i);const{onHover:a,onHoverEnd:s}=this.options;i?a==null||a(n):s==null||s(n)},this.updateElementsState=(n,i)=>{if(!this.options.state&&!this.options.inactiveState)return;const{graph:a}=this.context,{state:s,animation:o,inactiveState:l}=this.options,c=this.getActiveIds(n),u={};if(s&&Object.assign(u,this.getElementsState(c,s,i)),l){const h=gy(a.getData(),!0).filter(d=>!c.includes(d));Object.assign(u,this.getElementsState(h,l,i))}a.setElementState(u,o)},this.getElementsState=(n,i,a)=>{const{graph:s}=this.context,o={};return n.forEach(l=>{const c=s.getElementState(l);a?o[l]=c.includes(i)?c:[...c,i]:o[l]=c.filter(u=>u!==i)}),o},this.bindEvents()}bindEvents(){const{graph:t}=this.context;this.unbindEvents(),Ls.forEach(n=>{t.on(`${n}:${Bt.POINTER_ENTER}`,this.hoverElement),t.on(`${n}:${Bt.POINTER_LEAVE}`,this.hoverElement)});const e=this.context.canvas.document;e.addEventListener(`${Bt.DRAG_START}`,this.toggleFrozen),e.addEventListener(`${Bt.DRAG_END}`,this.toggleFrozen)}getActiveIds(t){const{graph:e}=this.context,{degree:n,direction:i}=this.options,a=t.target.id;return n?Py(e,t.targetType,a,typeof n=="function"?n(t):n,i):[a]}validate(t){if(this.destroyed||this.isFrozen||Ol(t.target)||this.context.graph.isCollapsingExpanding)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}unbindEvents(){const{graph:t}=this.context;Ls.forEach(n=>{t.off(`${n}:${Bt.POINTER_ENTER}`,this.hoverElement),t.off(`${n}:${Bt.POINTER_LEAVE}`,this.hoverElement)});const e=this.context.canvas.document;e.removeEventListener(`${Bt.DRAG_START}`,this.toggleFrozen),e.removeEventListener(`${Bt.DRAG_END}`,this.toggleFrozen)}destroy(){this.unbindEvents(),super.destroy()}}Qu.defaultOptions={animation:!1,enable:!0,degree:0,direction:"both",state:"active",inactiveState:void 0};class aP extends yl{onPointerDown(t){if(!super.validate(t)||!super.isKeydown()||this.points)return;const{canvas:e}=this.context;this.pathShape=new ri({id:"g6-lasso-select",style:this.options.style}),e.appendChild(this.pathShape),this.points=[du(t)]}onPointerMove(t){var e;if(!this.points)return;const{immediately:n,mode:i}=this.options;this.points.push(du(t)),(e=this.pathShape)===null||e===void 0||e.setAttribute("d",WN(this.points)),n&&i==="default"&&this.points.length>2&&super.updateElementsStates(this.points)}onPointerUp(){if(this.points){if(this.points.length<2){this.clearLasso();return}super.updateElementsStates(this.points),this.clearLasso()}}clearLasso(){var t;(t=this.pathShape)===null||t===void 0||t.remove(),this.pathShape=void 0,this.points=void 0}}class qu extends si{constructor(t,e){super(t,Object.assign({},qu.defaultOptions,e)),this.hiddenShapes=[],this.isVisible=!0,this.setElementsVisibility=(n,i,a)=>{n.filter(Boolean).forEach(s=>{i==="hidden"&&!s.isVisible()?this.hiddenShapes.push(s):i==="visible"&&this.hiddenShapes.includes(s)?this.hiddenShapes.splice(this.hiddenShapes.indexOf(s),1):Ps(s,i,a)})},this.filterShapes=(n,i)=>{if(fe(i))return s=>!i(n,s);const a=i==null?void 0:i[n];return s=>s.className?!(a!=null&&a.includes(s.className)):!0},this.hideShapes=n=>{if(!this.validate(n)||!this.isVisible)return;const{element:i}=this.context,{shapes:a={}}=this.options;this.setElementsVisibility(i.getNodes(),"hidden",this.filterShapes("node",a)),this.setElementsVisibility(i.getEdges(),"hidden",this.filterShapes("edge",a)),this.setElementsVisibility(i.getCombos(),"hidden",this.filterShapes("combo",a)),this.isVisible=!1},this.showShapes=Cl(n=>{if(!this.validate(n)||this.isVisible)return;const{element:i}=this.context;this.setElementsVisibility(i.getNodes(),"visible"),this.setElementsVisibility(i.getEdges(),"visible"),this.setElementsVisibility(i.getCombos(),"visible"),this.isVisible=!0},this.options.debounce),this.bindEvents()}bindEvents(){const{graph:t}=this.context;t.on(Kt.BEFORE_TRANSFORM,this.hideShapes),t.on(Kt.AFTER_TRANSFORM,this.showShapes)}unbindEvents(){const{graph:t}=this.context;t.off(Kt.BEFORE_TRANSFORM,this.hideShapes),t.off(Kt.AFTER_TRANSFORM,this.showShapes)}validate(t){if(this.destroyed)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}update(t){this.unbindEvents(),super.update(t),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy()}}qu.defaultOptions={enable:!0,debounce:200,shapes:r=>r==="node"};var k1=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};class Ju extends si{constructor(t,e){super(t,Object.assign({},Ju.defaultOptions,e)),this.onWheel=n=>k1(this,void 0,void 0,function*(){this.options.preventDefault&&n.preventDefault();const i=n.deltaX,a=n.deltaY;yield this.scroll([-i,-a],n)}),this.shortcut=new go(t.graph),this.bindEvents()}update(t){super.update(t),this.bindEvents()}bindEvents(){var t,e;const{trigger:n}=this.options;if(this.shortcut.unbindAll(),Fn(n)){(t=this.graphDom)===null||t===void 0||t.removeEventListener(Bt.WHEEL,this.onWheel);const{up:i=[],down:a=[],left:s=[],right:o=[]}=n;this.shortcut.bind(i,l=>this.scroll([0,-10],l)),this.shortcut.bind(a,l=>this.scroll([0,10],l)),this.shortcut.bind(s,l=>this.scroll([-10,0],l)),this.shortcut.bind(o,l=>this.scroll([10,0],l))}else(e=this.graphDom)===null||e===void 0||e.addEventListener(Bt.WHEEL,this.onWheel,{passive:!1})}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}formatDisplacement(t){const{sensitivity:e}=this.options;return t=_i(t,e),t=this.clampByDirection(t),t=this.clampByRange(t),t}clampByDirection([t,e]){const{direction:n}=this.options;return n==="x"?e=0:n==="y"&&(t=0),[t,e]}clampByRange([t,e]){const{viewport:n,canvas:i}=this.context,[a,s]=i.getSize(),[o,l,c,u]=Ri(this.options.range),h=[s*o,a*l,s*c,a*u],d=za(Nf(n.getCanvasCenter()),h),f=on(n.getViewportCenter(),[t,e,0]);if(!Li(f,d)){const{min:[v,g],max:[p,y]}=d;(f[0]0||f[0]>p&&t<0)&&(t=0),(f[1]0||f[1]>y&&e<0)&&(e=0)}return[t,e]}scroll(t,e){return k1(this,void 0,void 0,function*(){if(!this.validate(e))return;const{onFinish:n}=this.options,i=this.context.graph,a=this.formatDisplacement(t);yield i.translateBy(a,!1),n==null||n()})}validate(t){if(this.destroyed)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}destroy(){var t;this.shortcut.destroy(),(t=this.graphDom)===null||t===void 0||t.removeEventListener(Bt.WHEEL,this.onWheel),super.destroy()}}Ju.defaultOptions={enable:!0,sensitivity:1,preventDefault:!0,range:1/0};var P1=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};class $u extends si{constructor(t,e){super(t,Object.assign({},$u.defaultOptions,e)),this.zoom=(n,i,a)=>P1(this,void 0,void 0,function*(){if(!this.validate(i))return;const{graph:s}=this.context;let o=this.options.origin;!o&&"viewport"in i&&(o=yr(i.viewport));const{sensitivity:l,onFinish:c}=this.options,u=1+kn(n,-50,50)*l/100,h=s.getZoom();yield s.zoomTo(h*u,a,o),c==null||c()}),this.onReset=()=>P1(this,void 0,void 0,function*(){yield this.context.graph.zoomTo(1,this.options.animation)}),this.preventDefault=n=>{this.options.preventDefault&&n.preventDefault()},this.shortcut=new go(t.graph),this.bindEvents()}update(t){super.update(t),this.bindEvents()}bindEvents(){const{trigger:t}=this.options;if(this.shortcut.unbindAll(),Array.isArray(t))if(t.includes(Bt.PINCH))this.shortcut.bind([Bt.PINCH],e=>{this.zoom(e.scale,e,!1)});else{const e=this.context.canvas.getContainer();e==null||e.addEventListener(Bt.WHEEL,this.preventDefault),this.shortcut.bind([...t,Bt.WHEEL],n=>{const{deltaX:i,deltaY:a}=n;this.zoom(-(a!=null?a:i),n,!1)})}if(typeof t=="object"){const{zoomIn:e=[],zoomOut:n=[],reset:i=[]}=t;this.shortcut.bind(e,a=>this.zoom(10,a,this.options.animation)),this.shortcut.bind(n,a=>this.zoom(-10,a,this.options.animation)),this.shortcut.bind(i,this.onReset)}}validate(t){if(this.destroyed)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}destroy(){var t;this.shortcut.destroy(),(t=this.context.canvas.getContainer())===null||t===void 0||t.removeEventListener(Bt.WHEEL,this.preventDefault),super.destroy()}}$u.defaultOptions={animation:{duration:200},enable:!0,sensitivity:1,trigger:[],preventDefault:!0};var th=S(13722);const sP=(r,t)=>{if(r!=="next"&&r!=="prev")return t},R1=r=>{r.prev.next=r.next,r.next.prev=r.prev,delete r.next,delete r.prev};class oP{constructor(){const t={};t.prev=t,t.next=t.prev,this.shortcut=t}dequeue(){const t=this.shortcut,e=t.prev;if(e&&e!==t)return R1(e),e}enqueue(t){const e=this.shortcut;t.prev&&t.next&&R1(t),t.next=e.next,e.next.prev=t,e.next=t,t.prev=e}toString(){const t=[],e=this.shortcut;let n=e.prev;for(;n!==e;)t.push(JSON.stringify(n,sP)),n=n==null?void 0:n.prev;return`[${t.join(", ")}]`}}class lP extends oP{}const cP=()=>1,uP=(r,t)=>{var e;if(r.getAllNodes().length<=1)return[];const n=dP(r,t||cP);return(e=hP(n.graph,n.buckets,n.zeroIdx).map(a=>r.getRelatedEdges(a.v,"out").filter(({target:s})=>s===a.w)))===null||e===void 0?void 0:e.flat()},hP=(r,t,e)=>{let n=[];const i=t[t.length-1],a=t[0];let s;for(;r.getAllNodes().length;){for(;s=a.dequeue();)xv(r,t,e,s);for(;s=i.dequeue();)xv(r,t,e,s);if(r.getAllNodes().length){for(let o=t.length-2;o>0;--o)if(s=t[o].dequeue(),s){n=n.concat(xv(r,t,e,s,!0));break}}}return n},xv=(r,t,e,n,i)=>{var a,s;const o=[];return r.hasNode(n.v)&&((a=r.getRelatedEdges(n.v,"in"))===null||a===void 0||a.forEach(l=>{const c=l.data.weight,u=r.getNode(l.source);i&&o.push({v:l.source,w:l.target,in:0,out:0}),u.data.out===void 0&&(u.data.out=0),u.data.out-=c,Ev(t,e,Object.assign({v:u.id},u.data))}),(s=r.getRelatedEdges(n.v,"out"))===null||s===void 0||s.forEach(l=>{const c=l.data.weight,u=l.target,h=r.getNode(u);h.data.in===void 0&&(h.data.in=0),h.data.in-=c,Ev(t,e,Object.assign({v:h.id},h.data))}),r.removeNode(n.v)),i?o:void 0},dP=(r,t)=>{const e=new Vn;let n=0,i=0;r.getAllNodes().forEach(l=>{e.addNode({id:l.id,data:{v:l.id,in:0,out:0}})}),r.getAllEdges().forEach(l=>{const c=e.getRelatedEdges(l.source,"out").find(h=>h.target===l.target),u=(t==null?void 0:t(l))||1;c?e.updateEdgeData(c==null?void 0:c.id,Object.assign(Object.assign({},c.data),{weight:c.data.weight+u})):e.addEdge({id:l.id,source:l.source,target:l.target,data:{weight:u}}),i=Math.max(i,e.getNode(l.source).data.out+=u),n=Math.max(n,e.getNode(l.target).data.in+=u)});const a=[],s=i+n+3;for(let l=0;l{Ev(a,o,Object.assign({v:l.id},e.getNode(l.id).data))}),{buckets:a,zeroIdx:o,graph:e}},Ev=(r,t,e)=>{e.out?e.in?r[e.out-e.in+t].enqueue(e):r[r.length-1].enqueue(e):r[0].enqueue(e)},fP=(r,t)=>{const n=t==="greedy"?uP(r,(i=>a=>a.data.weight||1)(r)):vP(r);n==null||n.forEach(i=>{const a=i.data;r.removeEdge(i.id),a.forwardName=i.data.name,a.reversed=!0,r.addEdge({id:i.id,source:i.target,target:i.source,data:Object.assign({},a)})})},vP=r=>{const t=[],e={},n={},i=a=>{n[a]||(n[a]=!0,e[a]=!0,r.getRelatedEdges(a,"out").forEach(s=>{e[s.target]?t.push(s):i(s.target)}),delete e[a])};return r.getAllNodes().forEach(a=>i(a.id)),t},gP=r=>{r.getAllEdges().forEach(t=>{const e=t.data;if(e.reversed){r.removeEdge(t.id);const n=e.forwardName;delete e.reversed,delete e.forwardName,r.addEdge({id:t.id,source:t.target,target:t.source,data:Object.assign(Object.assign({},e),{forwardName:n})})}})},pP=(r,t)=>Number(r)-Number(t),bo=(r,t,e,n)=>{let i;do i=`${n}${Math.random()}`;while(r.hasNode(i));return e.dummy=t,r.addNode({id:i,data:e}),i},mP=r=>{const t=new Vn;return r.getAllNodes().forEach(e=>{t.addNode(Object.assign({},e))}),r.getAllEdges().forEach(e=>{const n=t.getRelatedEdges(e.source,"out").find(i=>i.target===e.target);n?t.updateEdgeData(n==null?void 0:n.id,Object.assign(Object.assign({},n.data),{weight:n.data.weight+e.data.weight||0,minlen:Math.max(n.data.minlen,e.data.minlen||1)})):t.addEdge({id:e.id,source:e.source,target:e.target,data:{weight:e.data.weight||0,minlen:e.data.minlen||1}})}),t},L1=r=>{const t=new Vn;return r.getAllNodes().forEach(e=>{r.getChildren(e.id).length||t.addNode(Object.assign({},e))}),r.getAllEdges().forEach(e=>{t.addEdge(e)}),t},D1=(r,t)=>r==null?void 0:r.reduce((e,n,i)=>(e[n]=t[i],e),{}),a7=r=>{const t={};return r.getAllNodes().forEach(e=>{const n={};r.getRelatedEdges(e.id,"out").forEach(i=>{n[i.target]=(n[i.target]||0)+(i.data.weight||0)}),t[e.id]=n}),t},s7=r=>{const t=r.getAllNodes(),e=t.map(n=>{const i={};return r.getRelatedEdges(n.id,"in").forEach(a=>{i[a.source]=(i[a.source]||0)+a.data.weight}),i});return D1(t.map(n=>n.id),e)},_1=(r,t)=>{const e=Number(r.x),n=Number(r.y),i=Number(t.x)-e,a=Number(t.y)-n;let s=Number(r.width)/2,o=Number(r.height)/2;if(!i&&!a)return{x:0,y:0};let l,c;return Math.abs(a)*s>Math.abs(i)*o?(a<0&&(o=-o),l=o*i/a,c=o):(i<0&&(s=-s),l=s,c=s*a/i),{x:e+l,y:n+c}},kl=r=>{const t=[],e=B1(r)+1;for(let n=0;n{const i=n.data.rank;i!==void 0&&t[i]&&t[i].push(n.id)});for(let n=0;npP(r.getNode(i).data.order,r.getNode(a).data.order));return t},yP=r=>{const 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e.data=e.data||{},t&&(ie(e.data.x)||(e.data.x=Math.random()*t[0]),ie(e.data.y)||(e.data.y=Math.random()*t[1])),e},GR={rankdir:"TB",nodesep:50,ranksep:50,edgeLabelSpace:!0,ranker:"tight-tree",controlPoints:!1,radial:!1,focusNode:null};class VR{constructor(t={}){this.options=t,this.id="antv-dagre",this.options=Object.assign(Object.assign({},GR),t)}execute(t,e){return(0,G.mG)(this,void 0,void 0,function*(){return this.genericDagreLayout(!1,t,e)})}assign(t,e){return(0,G.mG)(this,void 0,void 0,function*(){yield this.genericDagreLayout(!0,t,e)})}genericDagreLayout(t,e,n){return(0,G.mG)(this,void 0,void 0,function*(){const i=Object.assign(Object.assign({},this.options),n),{nodeSize:a,align:s,rankdir:o="TB",ranksep:l,nodesep:c,ranksepFunc:u,nodesepFunc:h,edgeLabelSpace:d,ranker:f,nodeOrder:v,begin:g,controlPoints:p,radial:y,sortByCombo:b,preset:w}=i,O=new Vn({tree:[]}),_=js(l||50,u),F=js(c||50,h);let W=F,j=_;(o==="LR"||o==="RL")&&(W=_,j=F);const H=Ov(10,a,!1),K=e.getAllNodes(),et=e.getAllEdges();K.forEach(pt=>{const xt=Pl(H(pt)),kt=j(pt),jt=W(pt),Xt=xt[0]+2*jt,ee=xt[1]+2*kt,ce=pt.data.layer;ie(ce)?O.addNode({id:pt.id,data:{width:Xt,height:ee,layer:ce}}):O.addNode({id:pt.id,data:{width:Xt,height:ee}})}),b&&(O.attachTreeStructure("combo"),K.forEach(pt=>{const{parentId:xt}=pt.data;xt!==void 0&&O.hasNode(xt)&&O.setParent(pt.id,xt,"combo")})),et.forEach(pt=>{O.addEdge({id:pt.id,source:pt.source,target:pt.target,data:{weight:pt.data.weight||1}})});let rt;w!=null&&w.length&&(rt=new Vn({nodes:w})),wR(O,{prevGraph:rt,edgeLabelSpace:d,keepNodeOrder:!!v,nodeOrder:v||[],acyclicer:"greedy",ranker:f,rankdir:o,nodesep:c,align:s});const lt=[0,0];if(g){let pt=1/0,xt=1/0;O.getAllNodes().forEach(kt=>{pt>kt.data.x&&(pt=kt.data.x),xt>kt.data.y&&(xt=kt.data.y)}),O.getAllEdges().forEach(kt=>{var jt;(jt=kt.data.points)===null||jt===void 0||jt.forEach(Xt=>{pt>Xt.x&&(pt=Xt.x),xt>Xt.y&&(xt=Xt.y)})}),lt[0]=g[0]-pt,lt[1]=g[1]-xt}const ht=o==="LR"||o==="RL";if(!y){const pt=new Set,kt=o==="BT"||o==="RL"?(ce,ue)=>ue-ce:(ce,ue)=>ce-ue;O.getAllNodes().forEach(ce=>{ce.data.x=ce.data.x+lt[0],ce.data.y=ce.data.y+lt[1],pt.add(ht?ce.data.x:ce.data.y)});const jt=Array.from(pt).sort(kt),Xt=ht?(ce,ue)=>ce.x!==ue.x:(ce,ue)=>ce.y!==ue.y,ee=ht?(ce,ue,le)=>{const me=Math.max(ue.y,le.y),De=Math.min(ue.y,le.y);return ce.filter(Ge=>Ge.y<=me&&Ge.y>=De)}:(ce,ue,le)=>{const me=Math.max(ue.x,le.x),De=Math.min(ue.x,le.x);return ce.filter(Ge=>Ge.x<=me&&Ge.x>=De)};O.getAllEdges().forEach((ce,ue)=>{var le;d&&p&&ce.data.type!=="loop"&&(ce.data.controlPoints=UR((le=ce.data.points)===null||le===void 0?void 0:le.map(({x:me,y:De})=>({x:me+lt[0],y:De+lt[1]})),O.getNode(ce.source),O.getNode(ce.target),jt,ht,Xt,ee))})}let yt=[];yt=O.getAllNodes().map(pt=>ci(pt));const Nt=O.getAllEdges();return t&&(yt.forEach(pt=>{e.mergeNodeData(pt.id,{x:pt.data.x,y:pt.data.y})}),Nt.forEach(pt=>{e.mergeEdgeData(pt.id,{controlPoints:pt.data.controlPoints})})),{nodes:yt,edges:Nt}})}}const UR=(r,t,e,n,i,a,s)=>{let o=(r==null?void 0:r.slice(1,r.length-1))||[];if(t&&e){let{x:l,y:c}=t.data,{x:u,y:h}=e.data;if(i&&(l=t.data.y,c=t.data.x,u=e.data.y,h=e.data.x),h!==c&&l!==u){const d=n.indexOf(c),f=n[d+1];if(f){const p=o[0],y=i?{x:(c+f)/2,y:(p==null?void 0:p.y)||u}:{x:(p==null?void 0:p.x)||u,y:(c+f)/2};(!p||a(p,y))&&o.unshift(y)}const v=n.indexOf(h),g=Math.abs(v-d);if(g===1)o=s(o,t.data,e.data),o.length||o.push(i?{x:(c+h)/2,y:l}:{x:l,y:(c+h)/2});else if(g>1){const p=n[v-1];if(p){const y=o[o.length-1],b=i?{x:(h+p)/2,y:(y==null?void 0:y.y)||u}:{x:(y==null?void 0:y.x)||l,y:(h+p)/2};(!y||a(y,b))&&o.push(b)}}}}return o},Zs=(r,t,e)=>{const n=r.getAllNodes(),i=r.getAllEdges();if(!(n!=null&&n.length))return{nodes:[],edges:i};if(n.length===1)return t&&r.mergeNodeData(n[0].id,{x:e[0],y:e[1]}),{nodes:[Object.assign(Object.assign({},n[0]),{data:Object.assign(Object.assign({},n[0].data),{x:e[0],y:e[1]})})],edges:i}},YR={radius:null,startRadius:null,endRadius:null,startAngle:0,endAngle:2*Math.PI,clockwise:!0,divisions:1,ordering:null,angleRatio:1};class HR{constructor(t={}){this.options=t,this.id="circular",this.options=Object.assign(Object.assign({},YR),t)}execute(t,e){return(0,G.mG)(this,void 0,void 0,function*(){return this.genericCircularLayout(!1,t,e)})}assign(t,e){return(0,G.mG)(this,void 0,void 0,function*(){yield this.genericCircularLayout(!0,t,e)})}genericCircularLayout(t,e,n){return(0,G.mG)(this,void 0,void 0,function*(){const i=Object.assign(Object.assign({},this.options),n),{width:a,height:s,center:o,divisions:l,startAngle:c=0,endAngle:u=2*Math.PI,angleRatio:h,ordering:d,clockwise:f,nodeSpacing:v,nodeSize:g}=i,p=e.getAllNodes(),y=e.getAllEdges(),[b,w,O]=KR(a,s,o),_=p==null?void 0:p.length;if(!_||_===1)return Zs(e,t,O);const F=(u-c)/_;let{radius:W,startRadius:j,endRadius:H}=i;if(v){const ht=js(10,v),yt=Ov(10,g);let Nt=-1/0;p.forEach(pt=>{const xt=yt(pt);Nt{xt===0?Ct+=Nt||10:Ct+=(ht(pt)||0)+(Nt||10)}),W=Ct/(2*Math.PI)}else!W&&!j&&!H?W=Math.min(w,b)/2:!j&&H?j=H:j&&!H&&(H=j);const K=F*h;let et=[];d==="topology"?et=gb(e,p):d==="topology-directed"?et=gb(e,p,!0):d==="degree"?et=XR(e,p):et=p.map(ht=>ci(ht));const rt=Math.ceil(_/l);for(let ht=0;ht<_;++ht){let yt=W;!yt&&j!==null&&H!==null&&(yt=j+ht*(H-j)/(_-1)),yt||(yt=10+ht*100/(_-1));let Nt=c+ht%rt*K+2*Math.PI/l*Math.floor(ht/rt);f||(Nt=u-ht%rt*K-2*Math.PI/l*Math.floor(ht/rt)),et[ht].data.x=O[0]+Math.cos(Nt)*yt,et[ht].data.y=O[1]+Math.sin(Nt)*yt}return t&&et.forEach(ht=>{e.mergeNodeData(ht.id,{x:ht.data.x,y:ht.data.y})}),{nodes:et,edges:y}})}}const gb=(r,t,e=!1)=>{const n=[ci(t[0])],i={},a=t.length;i[t[0].id]=!0;let s=0;return t.forEach((o,l)=>{if(l!==0)if((l===a-1||r.getDegree(o.id,"both")!==r.getDegree(t[l+1].id,"both")||r.areNeighbors(n[s].id,o.id))&&!i[o.id])n.push(ci(o)),i[o.id]=!0,s++;else{const c=e?r.getSuccessors(n[s].id):r.getNeighbors(n[s].id);let u=!1;for(let d=0;d{e.push(ci(n))}),e.sort((n,i)=>r.getDegree(n.id,"both")-r.getDegree(i.id,"both")),e}const KR=(r,t,e)=>{let n=r,i=t,a=e;return!n&&typeof window!="undefined"&&(n=window.innerWidth),!i&&typeof window!="undefined"&&(i=window.innerHeight),a||(a=[n/2,i/2]),[n,i,a]},xa=Array.isArray,QR={nodeSize:30,nodeSpacing:10,preventOverlap:!1,sweep:void 0,equidistant:!1,startAngle:3/2*Math.PI,clockwise:!0,maxLevelDiff:void 0,sortBy:"degree"};class kv{constructor(t={}){this.options=t,this.id="concentric",this.options=Object.assign(Object.assign({},QR),t)}execute(t,e){return(0,G.mG)(this,void 0,void 0,function*(){return this.genericConcentricLayout(!1,t,e)})}assign(t,e){return(0,G.mG)(this,void 0,void 0,function*(){yield this.genericConcentricLayout(!0,t,e)})}genericConcentricLayout(t,e,n){return(0,G.mG)(this,void 0,void 0,function*(){const i=Object.assign(Object.assign({},this.options),n),{center:a,width:s,height:o,sortBy:l,maxLevelDiff:c,sweep:u,clockwise:h,equidistant:d,preventOverlap:f,startAngle:v=3/2*Math.PI,nodeSize:g,nodeSpacing:p}=i,y=e.getAllNodes(),b=e.getAllEdges(),w=!s&&typeof window!="undefined"?window.innerWidth:s,O=!o&&typeof window!="undefined"?window.innerHeight:o,_=a||[w/2,O/2];if(!(y!=null&&y.length)||y.length===1)return Zs(e,t,_);const F=[];let W,j=0;xa(g)?W=Math.max(g[0],g[1]):fe(g)?(W=-1/0,y.forEach(pt=>{const xt=Math.max(...Pl(g(pt)));xt>W&&(W=xt)})):W=g,xa(p)?j=Math.max(p[0],p[1]):ie(p)&&(j=p),y.forEach(pt=>{const xt=ci(pt);F.push(xt);let kt=W;const{data:jt}=xt;xa(jt.size)?kt=Math.max(jt.size[0],jt.size[1]):ie(jt.size)?kt=jt.size:Fn(jt.size)&&(kt=Math.max(jt.size.width,jt.size.height)),W=Math.max(W,kt),fe(p)&&(j=Math.max(p(pt),j))});const H={};F.forEach((pt,xt)=>{H[pt.id]=xt});let K=l;(!Ve(K)||F[0].data[K]===void 0)&&(K="degree"),K==="degree"?F.sort((pt,xt)=>e.getDegree(xt.id,"both")-e.getDegree(pt.id,"both")):F.sort((pt,xt)=>xt.data[K]-pt.data[K]);const et=F[0],rt=(c||(K==="degree"?e.getDegree(et.id,"both"):et.data[K]))/4,lt=[{nodes:[]}];let ht=lt[0];F.forEach(pt=>{if(ht.nodes.length>0){const xt=Math.abs(K==="degree"?e.getDegree(ht.nodes[0].id,"both")-e.getDegree(pt.id,"both"):ht.nodes[0].data[K]-pt.data[K]);rt&&xt>=rt&&(ht={nodes:[]},lt.push(ht))}ht.nodes.push(pt)});let yt=W+j;if(!f){const pt=lt.length>0&<[0].nodes.length>1,kt=(Math.min(w,O)/2-yt)/(lt.length+(pt?1:0));yt=Math.min(yt,kt)}let Nt=0;if(lt.forEach(pt=>{const xt=u===void 0?2*Math.PI-2*Math.PI/pt.nodes.length:u;if(pt.dTheta=xt/Math.max(1,pt.nodes.length-1),pt.nodes.length>1&&f){const kt=Math.cos(pt.dTheta)-Math.cos(0),jt=Math.sin(pt.dTheta)-Math.sin(0),Xt=Math.sqrt(yt*yt/(kt*kt+jt*jt));Nt=Math.max(Xt,Nt)}pt.r=Nt,Nt+=yt}),d){let pt=0,xt=0;for(let kt=0;kt{jt===0&&(xt=kt.r||0),kt.r=xt,xt+=pt})}return lt.forEach(pt=>{const xt=pt.dTheta||0,kt=pt.r||0;pt.nodes.forEach((jt,Xt)=>{const ee=v+(h?1:-1)*xt*Xt;jt.data.x=_[0]+kt*Math.cos(ee),jt.data.y=_[1]+kt*Math.sin(ee)})}),t&&F.forEach(pt=>e.mergeNodeData(pt.id,{x:pt.data.x,y:pt.data.y})),{nodes:F,edges:b}})}}var Pv=S(14301),qR=S(7695);const JR=.81,Rv=.1;function $R(r,t,e,n,i=2){const a=t/e,s=r.getAllNodes(),o=s.map((u,h)=>{const{nodeStrength:d,x:f,y:v,z:g,size:p}=u.data;return{x:f,y:v,z:g,size:p,index:h,id:u.id,vx:0,vy:0,vz:0,weight:a*d}}),l=(i===2?(0,Pv.Z)(o,u=>u.x,u=>u.y):(0,qR.Z)(o,u=>u.x,u=>u.y,u=>u.z)).visitAfter(tL),c=new Map;return o.forEach(u=>{c.set(u.id,u),nL(u,l,i)}),o.map((u,h)=>{const{id:d,data:f}=s[h],{mass:v=1}=f;n[d]={x:u.vx/v,y:u.vy/v,z:u.vz/v}}),n}function tL(r){let t=0,e=0,n=0,i=0,a=0;const s=r.length;if(s){for(let o=0;o{var o;if(((o=r.data)===null||o===void 0?void 0:o.id)===a.id)return;const l=[e,n,i][s-1],c=a.x-r.x||Rv,u=a.y-r.y||Rv,h=a.z-r.z||Rv,d=[c,u,h],f=l-t;let v=0;for(let y=0;yeL(n,i,a,s,o,r,e))}const rL={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 pb{constructor(t={}){this.options=t,this.id="force",this.timeInterval=0,this.judgingDistance=0,this.running=!1,this.options=Object.assign(Object.assign({},rL),t)}execute(t,e){return(0,G.mG)(this,void 0,void 0,function*(){return this.genericForceLayout(!1,t,e)})}assign(t,e){return(0,G.mG)(this,void 0,void 0,function*(){yield this.genericForceLayout(!0,t,e)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(t=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let n=0;(this.judgingDistance>this.lastOptions.minMovement||n<1)&&nthis.lastGraph.mergeNodeData(n.id,{x:n.data.x,y:n.data.y,z:this.options.dimensions===3?n.data.z:void 0})),e}genericForceLayout(t,e,n){return(0,G.mG)(this,void 0,void 0,function*(){const i=Object.assign(Object.assign({},this.options),n),a=e.getAllNodes(),s=e.getAllEdges(),o=this.formatOptions(i,e),{dimensions:l,width:c,height:u,nodeSize:h,getMass:d,nodeStrength:f,edgeStrength:v,linkDistance:g}=o,p=a.map((j,H)=>Object.assign(Object.assign({},j),{data:Object.assign(Object.assign({},j.data),{x:ie(j.data.x)?j.data.x:Math.random()*c,y:ie(j.data.y)?j.data.y:Math.random()*u,z:ie(j.data.z)?j.data.z:Math.random()*Math.sqrt(c*u),size:h(j)||30,mass:d(j),nodeStrength:f(j)})})),y=s.map(j=>Object.assign(Object.assign({},j),{data:Object.assign(Object.assign({},j.data),{edgeStrength:v(j),linkDistance:g(j,e.getNode(j.source),e.getNode(j.target))})}));if(!(a!=null&&a.length))return this.lastResult={nodes:[],edges:s},{nodes:[],edges:s};const b={};a.forEach((j,H)=>{b[j.id]={x:0,y:0,z:0}});const w=new Vn({nodes:p,edges:y});this.formatCentripetal(o,w);const{maxIteration:O,minMovement:_,onTick:F}=o;if(this.lastLayoutNodes=p,this.lastLayoutEdges=y,this.lastAssign=t,this.lastGraph=e,this.lastCalcGraph=w,this.lastOptions=o,this.lastVelMap=b,typeof window=="undefined")return;let W=0;return new Promise(j=>{this.timeInterval=window.setInterval(()=>{(!a||!this.running)&&j({nodes:Lv(e,p),edges:s}),this.runOneStep(w,e,W,b,o),this.updatePosition(e,w,b,o),t&&p.forEach(H=>e.mergeNodeData(H.id,{x:H.data.x,y:H.data.y,z:l===3?H.data.z:void 0})),F==null||F({nodes:Lv(e,p),edges:s}),W++,(W>=O||this.judgingDistance<_)&&(window.clearInterval(this.timeInterval),j({nodes:Lv(e,p),edges:s}))},0),this.running=!0})})}formatOptions(t,e){const n=Object.assign({},t),{width:i,height:a,getMass:s}=t;n.width=!i&&typeof window!="undefined"?window.innerWidth:i,n.height=!a&&typeof window!="undefined"?window.innerHeight:a,t.center||(n.center=[n.width/2,n.height/2]),s||(n.getMass=l=>{let c=1;ie(l==null?void 0:l.data.mass)&&(c=l==null?void 0:l.data.mass);const u=e.getDegree(l.id,"both");return!u||u<5?c:u*5*c}),n.nodeSize=Cv(t.nodeSize,t.nodeSpacing);const o=t.linkDistance?js(1,t.linkDistance):l=>1+n.nodeSize(e.getNode(l.source))+n.nodeSize(e.getNode(l.target));return n.linkDistance=o,n.nodeStrength=js(1,t.nodeStrength),n.edgeStrength=js(1,t.edgeStrength),n}formatCentripetal(t,e){const{dimensions:n,centripetalOptions:i,center:a,clusterNodeStrength:s,leafCluster:o,clustering:l,nodeClusterBy:c}=t,u=e.getAllNodes(),h=i||{leaf:2,single:2,others:1,center:y=>({x:a[0],y:a[1],z:n===3?a[2]:void 0})};typeof s!="function"&&(t.clusterNodeStrength=y=>s);let d,f;if(o&&c&&(d=mb(e,c),f=Array.from(new Set(u==null?void 0:u.map(y=>y.data[c])))||[],t.centripetalOptions=Object.assign(h,{single:100,leaf:y=>{const{siblingLeaves:b,sameTypeLeaves:w}=d[y.id]||{};return(w==null?void 0:w.length)===(b==null?void 0:b.length)||(f==null?void 0:f.length)===1?1:t.clusterNodeStrength(y)},others:1,center:y=>{const b=e.getDegree(y.id,"both");if(!b)return{x:100,y:100,z:0};let w;if(b===1){const{sameTypeLeaves:O=[]}=d[y.id]||{};O.length===1?w=void 0:O.length>1&&(w=yb(O))}else w=void 0;return{x:w==null?void 0:w.x,y:w==null?void 0:w.y,z:w==null?void 0:w.z}}})),l&&c){d||(d=mb(e,c)),f||(f=Array.from(new Set(u.map(b=>b.data[c])))),f=f.filter(b=>b!==void 0);const y={};f.forEach(b=>{const w=u.filter(O=>O.data[c]===b).map(O=>e.getNode(O.id));y[b]=yb(w)}),t.centripetalOptions=Object.assign(h,{single:b=>t.clusterNodeStrength(b),leaf:b=>t.clusterNodeStrength(b),others:b=>t.clusterNodeStrength(b),center:b=>{const w=y[b.data[c]];return{x:w==null?void 0:w.x,y:w==null?void 0:w.y,z:w==null?void 0:w.z}}})}const{leaf:v,single:g,others:p}=t.centripetalOptions||{};v&&typeof v!="function"&&(t.centripetalOptions.leaf=()=>v),g&&typeof g!="function"&&(t.centripetalOptions.single=()=>g),p&&typeof p!="function"&&(t.centripetalOptions.others=()=>p)}runOneStep(t,e,n,i,a){const s={},o=t.getAllNodes(),l=t.getAllEdges();if(!(o!=null&&o.length))return;const{monitor:c}=a;if(this.calRepulsive(t,s,a),l&&this.calAttractive(t,s,a),this.calGravity(t,e,s,a),this.updateVelocity(t,s,i,a),c){const u=this.calTotalEnergy(s,o);c({energy:u,nodes:e.getAllNodes(),edges:e.getAllEdges(),iterations:n})}}calTotalEnergy(t,e){if(!(e!=null&&e.length))return 0;let n=0;return e.forEach((i,a)=>{const s=t[i.id].x,o=t[i.id].y,l=this.options.dimensions===3?t[i.id].z:0,c=s*s+o*o+l*l,{mass:u=1}=i.data;n+=u*c*.5}),n}calRepulsive(t,e,n){const{dimensions:i,factor:a,coulombDisScale:s}=n;$R(t,a,s*s,e,i)}calAttractive(t,e,n){const{dimensions:i,nodeSize:a}=n;t.getAllEdges().forEach((s,o)=>{const{source:l,target:c}=s,u=t.getNode(l),h=t.getNode(c);if(!u||!h)return;let d=h.data.x-u.data.x,f=h.data.y-u.data.y,v=i===3?h.data.z-u.data.z:0;!d&&!f&&(d=Math.random()*.01,f=Math.random()*.01,i===3&&!v&&(v=Math.random()*.01));const 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ue=Nt(_);if(!ue)return;n[g].x-=ue*Xt,n[g].y-=ue*ee,n[g].z-=ue*ce}})}updateVelocity(t,e,n,i){const{damping:a,maxSpeed:s,interval:o,dimensions:l}=i,c=t.getAllNodes();c!=null&&c.length&&c.forEach(u=>{const{id:h}=u;let d=(n[h].x+e[h].x*o)*a||.01,f=(n[h].y+e[h].y*o)*a||.01,v=l===3?(n[h].z+e[h].z*o)*a||.01:0;const g=Math.sqrt(d*d+f*f+v*v);if(g>s){const p=s/g;d=p*d,f=p*f,v=p*v}n[h]={x:d,y:f,z:v}})}updatePosition(t,e,n,i){const{distanceThresholdMode:a,interval:s,dimensions:o}=i,l=e.getAllNodes();if(!(l!=null&&l.length)){this.judgingDistance=0;return}let c=0;a==="max"?this.judgingDistance=-1/0:a==="min"&&(this.judgingDistance=1/0),l.forEach(u=>{const{id:h}=u,d=t.getNode(h);if(ie(d.data.fx)&&ie(d.data.fy)){e.mergeNodeData(h,{x:d.data.fx,y:d.data.fy,z:o===3?d.data.fz:void 0});return}const f=n[h].x*s,v=n[h].y*s,g=o===3?n[h].z*s:0;e.mergeNodeData(h,{x:u.data.x+f,y:u.data.y+v,z:u.data.z+g});const 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pb;O&&hL[H.id]&&(yield(b.length<100?new Sb:new kv).assign(j));const K=Object.assign({center:a,kg:5,preventOverlap:!0,animate:!1},H.id==="force"?{gravity:1,factor:4,linkDistance:(et,rt,lt)=>{const ht=Math.max(...rt.data.size)||32,yt=Math.max(...lt.data.size)||32;return ht/2+yt/2+200}}:{});F=yield Mb(H,j,K)}g.forEach(j=>{var H;const K=F.nodes.find(lt=>lt.id===j.id);if(K){const{x:lt,y:ht}=K.data;j.data.visited=!0,j.data.x=lt,j.data.y=ht,d.push({id:j.id,data:{x:lt,y:ht}})}const{x:et,y:rt}=j.data;(H=j.data.nodes)===null||H===void 0||H.forEach(lt=>{d.push({id:lt.id,data:{x:lt.data.x+et,y:lt.data.y+rt}})})}),g.forEach(({data:j})=>{const{x:H,y:K,visited:et,nodes:rt}=j;rt==null||rt.forEach(lt=>{if(!et){const ht=d.find(yt=>yt.id===lt.id);ht.data.x+=H||0,ht.data.y+=K||0}})})}return t&&d.forEach(j=>{e.mergeNodeData(j.id,{x:j.data.x,y:j.data.y})}),{nodes:d,edges:u}})}initVals(t){const e=Object.assign({},t),{nodeSize:n,spacing:i,comboPadding:a}=t;let 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SL=10,ML=Math.PI*(3-Math.sqrt(5));function AL(r){var t,e=1,n=.001,i=1-Math.pow(n,1/300),a=0,s=.6,o=new Map,l=(0,mL.HT)(h),c=(0,pL.Z)("tick","end"),u=xL();r==null&&(r=[]);function h(){d(),c.call("tick",t),e1?(p==null?o.delete(g):o.set(g,v(p)),t):o.get(g)},find:function(g,p,y){var b=0,w=r.length,O,_,F,W,j;for(y==null?y=1/0:y*=y,b=0;b1?(c.on(g,p),t):c.on(g)}}}function TL(){var r,t,e,n,i=sr(-30),a,s=1,o=1/0,l=.81;function c(f){var v,g=r.length,p=(0,Pv.Z)(r,EL,wL).visitAfter(h);for(n=f,v=0;v=o)return;(f.data!==t||f.next)&&(y===0&&(y=Ka(e),O+=y*y),b===0&&(b=Ka(e),O+=b*b),Od.index){var et=f-j.x-j.vx,rt=v-j.y-j.vy,lt=et*et+rt*rt;ltf+K||Fv+K||Wc.r&&(c.r=c[u].r)}function l(){if(t){var c,u=t.length,h;for(e=new Array(u),c=0;ce.id},manyBody:{},center:{x:0,y:0}},this.context={options:{},assign:!1,nodes:[],edges:[]},mr(this.options,t),this.options.forceSimulation&&(this.simulation=this.options.forceSimulation)}execute(t,e){return(0,G.mG)(this,void 0,void 0,function*(){return this.genericLayout(!1,t,e)})}assign(t,e){return(0,G.mG)(this,void 0,void 0,function*(){yield this.genericLayout(!0,t,e)})}stop(){this.simulation.stop()}tick(t){return this.simulation.tick(t),this.getResult()}restart(){this.simulation.restart()}setFixedPosition(t,e){const n=this.context.nodes.find(i=>i.id===t);n&&e.forEach((i,a)=>{if(typeof i=="number"||i===null){const s=["fx","fy","fz"][a];n[s]=i}})}getOptions(t){var e,n;const i=mr({},this.options,t);return i.collide&&((e=i.collide)===null||e===void 0?void 0:e.radius)===void 0&&(i.collide=i.collide||{},i.collide.radius=(n=i.nodeSize)!==null&&n!==void 0?n:10),i.iterations===void 0&&(i.link&&i.link.iterations===void 0&&(i.iterations=i.link.iterations),i.collide&&i.collide.iterations===void 0&&(i.iterations=i.collide.iterations)),this.context.options=i,i}genericLayout(t,e,n){var i;return(0,G.mG)(this,void 0,void 0,function*(){const a=this.getOptions(n),s=e.getAllNodes().map(({id:u,data:h})=>Object.assign(Object.assign({id:u},h),Bs(h.data,this.config.inputNodeAttrs))),o=e.getAllEdges().map(u=>Object.assign({},u));Object.assign(this.context,{assign:t,nodes:s,edges:o,graph:e});const l=new Promise(u=>{this.resolver=u}),c=this.setSimulation(a);return c.nodes(s),(i=c.force("link"))===null||i===void 0||i.links(o),l})}getResult(){const{assign:t,nodes:e,edges:n,graph:i}=this.context,a=e.map(o=>({id:o.id,data:Object.assign(Object.assign({},o.data),Bs(o,this.config.outputNodeAttrs))})),s=n.map(({id:o,source:l,target:c,data:u})=>({id:o,source:typeof l=="object"?l.id:l,target:typeof c=="object"?c.id:c,data:u}));return t&&a.forEach(o=>i.mergeNodeData(o.id,o.data)),{nodes:a,edges:s}}initSimulation(){return AL()}setSimulation(t){const e=this.simulation||this.options.forceSimulation||this.initSimulation();return this.simulation||(this.simulation=e.on("tick",()=>{var n;return(n=t.onTick)===null||n===void 0?void 0:n.call(t,this.getResult())}).on("end",()=>{var n;return(n=this.resolver)===null||n===void 0?void 0:n.call(this,this.getResult())})),Ob(e,this.config.simulationAttrs.map(n=>[n,t[n]])),Object.entries(this.forceMap).forEach(([n,i])=>{const a=n;if(t[n]){let s=e.force(a);s||(s=i(),e.force(a,s)),Ob(s,Object.entries(t[a]))}else e.force(a,null)}),e}}const Ob=(r,t)=>t.reduce((e,[n,i])=>!e[n]||i===void 0?e:e[n].call(r,i),r);var Cb=S(92546),_L=S.n(Cb);class eh{constructor(t){this.id="dagre",this.options={},Object.assign(this.options,eh.defaultOptions,t)}execute(t,e){return(0,G.mG)(this,void 0,void 0,function*(){return this.genericDagreLayout(!1,t,Object.assign(Object.assign({},this.options),e))})}assign(t,e){return(0,G.mG)(this,void 0,void 0,function*(){yield this.genericDagreLayout(!0,t,Object.assign(Object.assign({},this.options),e))})}genericDagreLayout(t,e,n){return(0,G.mG)(this,void 0,void 0,function*(){const{nodeSize:i}=n,a=new Cb.graphlib.Graph;a.setGraph(n),a.setDefaultEdgeLabel(()=>({}));const s=e.getAllNodes(),o=e.getAllEdges();[...s,...o].some(({id:c})=>ie(c))&&console.error("Dagre layout only support string id, it will convert number to string."),e.getAllNodes().forEach(c=>{const{id:u}=c,h=Object.assign({},c.data);if(i!==void 0){const[d,f]=Pl(fe(i)?i(c):i);Object.assign(h,{width:d,height:f})}a.setNode(u.toString(),h)}),e.getAllEdges().forEach(({id:c,source:u,target:h})=>{a.setEdge(u.toString(),h.toString(),{id:c})}),_L().layout(a);const l={nodes:[],edges:[]};return a.nodes().forEach(c=>{const u=a.node(c);l.nodes.push({id:c,data:u}),t&&e.mergeNodeData(c,u)}),a.edges().forEach(c=>{const u=a.edge(c),{id:h}=u,d=(0,G._T)(u,["id"]),{v:f,w:v}=c;l.edges.push({id:h,source:f,target:v,data:d}),t&&e.mergeEdgeData(h,d)}),l})}}eh.defaultOptions={};class Iv{constructor(t){this.id=t.id||0,this.rx=t.rx,this.ry=t.ry,this.fx=0,this.fy=0,this.mass=t.mass,this.degree=t.degree,this.g=t.g||0}distanceTo(t){const e=this.rx-t.rx,n=this.ry-t.ry;return Math.hypot(e,n)}setPos(t,e){this.rx=t,this.ry=e}resetForce(){this.fx=0,this.fy=0}addForce(t){const e=t.rx-this.rx,n=t.ry-this.ry;let i=Math.hypot(e,n);i=i<1e-4?1e-4:i;const a=this.g*(this.degree+1)*(t.degree+1)/i;this.fx+=a*e/i,this.fy+=a*n/i}in(t){return t.contains(this.rx,this.ry)}add(t){const e=this.mass+t.mass,n=(this.rx*this.mass+t.rx*t.mass)/e,i=(this.ry*this.mass+t.ry*t.mass)/e,a=this.degree+t.degree,s={rx:n,ry:i,mass:e,degree:a};return new Iv(s)}}class xo{constructor(t){this.xmid=t.xmid,this.ymid=t.ymid,this.length=t.length,this.massCenter=t.massCenter||[0,0],this.mass=t.mass||1}getLength(){return this.length}contains(t,e){const n=this.length/2;return t<=this.xmid+n&&t>=this.xmid-n&&e<=this.ymid+n&&e>=this.ymid-n}NW(){const t=this.xmid-this.length/4,e=this.ymid+this.length/4,n=this.length/2,i={xmid:t,ymid:e,length:n};return new xo(i)}NE(){const t=this.xmid+this.length/4,e=this.ymid+this.length/4,n=this.length/2,i={xmid:t,ymid:e,length:n};return new xo(i)}SW(){const t=this.xmid-this.length/4,e=this.ymid-this.length/4,n=this.length/2,i={xmid:t,ymid:e,length:n};return new xo(i)}SE(){const t=this.xmid+this.length/4,e=this.ymid-this.length/4,n=this.length/2,i={xmid:t,ymid:e,length:n};return new xo(i)}}class Eo{constructor(t){this.body=null,this.quad=null,this.NW=null,this.NE=null,this.SW=null,this.SE=null,this.theta=.5,t!=null&&(this.quad=t)}insert(t){if(this.body==null){this.body=t;return}this._isExternal()?(this.quad&&(this.NW=new Eo(this.quad.NW()),this.NE=new Eo(this.quad.NE()),this.SW=new Eo(this.quad.SW()),this.SE=new Eo(this.quad.SE())),this._putBody(this.body),this._putBody(t),this.body=this.body.add(t)):(this.body=this.body.add(t),this._putBody(t))}_putBody(t){this.quad&&(t.in(this.quad.NW())&&this.NW?this.NW.insert(t):t.in(this.quad.NE())&&this.NE?this.NE.insert(t):t.in(this.quad.SW())&&this.SW?this.SW.insert(t):t.in(this.quad.SE())&&this.SE&&this.SE.insert(t))}_isExternal(){return this.NW==null&&this.NE==null&&this.SW==null&&this.SE==null}updateForce(t){if(!(this.body==null||t===this.body))if(this._isExternal())t.addForce(this.body);else{const e=this.quad?this.quad.getLength():0,n=this.body.distanceTo(t);e/nci(y,[o,l])),v=i.filter(y=>{const{source:b,target:w}=y;return b!==w}),g=new Vn({nodes:f,edges:v}),p=this.getSizes(g,h);if(this.run(g,e,u,p,t,s),c){for(let b=0;b250&&(n.barnesHut=!0),l===void 0&&e>100&&(n.prune=!0),c===0&&!l?(n.maxIteration=250,e<=200&&e>100?n.maxIteration=1e3:e>200&&(n.maxIteration=1200)):c===0&&l&&(n.maxIteration=100,e<=200&&e>100?n.maxIteration=500:e>200&&(n.maxIteration=950)),u||(n.kr=50,e>100&&e<=500?n.kr=20:e>500&&(n.kr=1)),h||(n.kg=20,e>100&&e<=500?n.kg=10:e>500&&(n.kg=1)),n}run(t,e,n,i,a,s){const{kr:o,barnesHut:l,onTick:c}=s,u=t.getAllNodes();let h=0,d=n;const f={},v={},g={};for(let p=0;p0;)h=this.oneStep(t,{iter:d,preventOverlapIters:50,krPrime:100,sg:h,forces:f,preForces:v,bodies:g,sizes:i},s),d--,c==null||c({nodes:u,edges:e.getAllEdges()});return t}oneStep(t,e,n){const{iter:i,preventOverlapIters:a,krPrime:s,sg:o,preForces:l,bodies:c,sizes:u}=e;let{forces:h}=e;const{preventOverlap:d,barnesHut:f}=n,v=t.getAllNodes();for(let g=0;ga||!d)?h=this.getOptRepGraForces(t,h,c,n):h=this.getRepGraForces(t,i,a,h,s,u,n),this.updatePos(t,h,l,o,n)}getAttrForces(t,e,n,i,a,s){const{preventOverlap:o,dissuadeHubs:l,mode:c,prune:u}=s,h=t.getAllEdges();for(let d=0;d0&&(_=O,F=O),a[f][0]+=_*w[0],a[v][0]-=F*w[0],a[f][1]+=_*w[1],a[v][1]-=F*w[1]}return a}getOptRepGraForces(t,e,n,i){const{kg:a,center:s,prune:o}=i,l=t.getAllNodes(),c=l.length;let u=9e10,h=-9e10,d=9e10,f=-9e10;for(let b=0;b=h&&(h=O.x),O.x<=u&&(u=O.x),O.y>=f&&(f=O.y),O.y<=d&&(d=O.y))}const v=Math.max(h-u,f-d),g={xmid:(h+u)/2,ymid:(f+d)/2,length:v,massCenter:s,mass:c},p=new xo(g),y=new Eo(p);for(let b=0;b0&&(K=c*(y+1)*(W+1)/H),i[p.id][0]-=K*j[0],i[F.id][0]+=K*j[0],i[p.id][1]-=K*j[1],i[F.id][1]+=K*j[1]}const b=[p.data.x-h[0],p.data.y-h[1]],w=Math.hypot(b[0],b[1]);b[0]=b[0]/w,b[1]=b[1]/w;const O=u*(y+1);i[p.id][0]-=O*b[0],i[p.id][1]-=O*b[1]}return i}updatePos(t,e,n,i,a){const{ks:s,tao:o,prune:l,ksmax:c}=a,u=t.getAllNodes(),h=u.length,d=[],f=[];let v=0,g=0,p=i;for(let b=0;b1.5*y?1.5*y:p);for(let b=0;bj?j:F;const H=F*e[w][0],K=F*e[w][1];t.mergeNodeData(w,{x:O.x+H,y:O.y+K})}return p}}const FL={maxIteration:1e3,gravity:10,speed:5,clustering:!1,clusterGravity:10,width:300,height:300,nodeClusterBy:"cluster"},zL=800;class jL{constructor(t={}){this.options=t,this.id="fruchterman",this.timeInterval=0,this.running=!1,this.options=Object.assign(Object.assign({},FL),t)}execute(t,e){return(0,G.mG)(this,void 0,void 0,function*(){return this.genericFruchtermanLayout(!1,t,e)})}assign(t,e){return(0,G.mG)(this,void 0,void 0,function*(){yield this.genericFruchtermanLayout(!0,t,e)})}stop(){this.timeInterval&&typeof window!="undefined"&&window.clearInterval(this.timeInterval),this.running=!1}tick(t=this.options.maxIteration||1){if(this.lastResult)return this.lastResult;for(let n=0;nthis.lastGraph.mergeNodeData(n.id,{x:n.data.x,y:n.data.y,z:this.options.dimensions===3?n.data.z:void 0})),e}genericFruchtermanLayout(t,e,n){return(0,G.mG)(this,void 0,void 0,function*(){if(this.running)return;const i=this.formatOptions(n),{dimensions:a,width:s,height:o,center:l,clustering:c,nodeClusterBy:u,maxIteration:h,onTick:d}=i,f=e.getAllNodes(),v=e.getAllEdges();if(!(f!=null&&f.length)){const w={nodes:[],edges:v};return this.lastResult=w,w}if(f.length===1){t&&e.mergeNodeData(f[0].id,{x:l[0],y:l[1],z:a===3?l[2]:void 0});const w={nodes:[Object.assign(Object.assign({},f[0]),{data:Object.assign(Object.assign({},f[0].data),{x:l[0],y:l[1],z:a===3?l[2]:void 0})})],edges:v};return this.lastResult=w,w}const g=f.map(w=>ci(w,[s,o])),p=new Vn({nodes:g,edges:v}),y={};if(c&&g.forEach(w=>{const O=w.data[u];y[O]||(y[O]={name:O,cx:0,cy:0,count:0})}),this.lastLayoutNodes=g,this.lastLayoutEdges=v,this.lastAssign=t,this.lastGraph=p,this.lastOptions=i,this.lastClusterMap=y,typeof window=="undefined")return;let b=0;return new Promise(w=>{this.timeInterval=window.setInterval(()=>{if(!this.running){w({nodes:g,edges:v});return}this.runOneStep(p,y,i),t&&g.forEach(({id:O,data:_})=>e.mergeNodeData(O,{x:_.x,y:_.y,z:a===3?_.z:void 0})),d==null||d({nodes:g,edges:v}),b++,b>=h&&(window.clearInterval(this.timeInterval),w({nodes:g,edges:v}))},0),this.running=!0})})}formatOptions(t={}){const e=Object.assign(Object.assign({},this.options),t),{clustering:n,nodeClusterBy:i}=e,{center:a,width:s,height:o}=e;return e.width=!s&&typeof window!="undefined"?window.innerWidth:s,e.height=!o&&typeof window!="undefined"?window.innerHeight:o,e.center=a||[e.width/2,e.height/2],e.clustering=n&&!!i,e}runOneStep(t,e,n){const{dimensions:i,height:a,width:s,gravity:o,center:l,speed:c,clustering:u,nodeClusterBy:h,clusterGravity:d}=n,f=a*s,v=Math.sqrt(f)/10,g=t.getAllNodes(),p=f/(g.length+1),y=Math.sqrt(p),b={};if(this.applyCalculate(t,b,y,p),u){for(const O in e)e[O].cx=0,e[O].cy=0,e[O].count=0;g.forEach(O=>{const{data:_}=O,F=e[_[h]];ie(_.x)&&(F.cx+=_.x),ie(_.y)&&(F.cy+=_.y),F.count++});for(const O in e)e[O].cx/=e[O].count,e[O].cy/=e[O].count;const w=d||o;g.forEach((O,_)=>{const{id:F,data:W}=O;if(!ie(W.x)||!ie(W.y))return;const j=e[W[h]],H=Math.sqrt((W.x-j.cx)*(W.x-j.cx)+(W.y-j.cy)*(W.y-j.cy)),K=y*w;b[F].x-=K*(W.x-j.cx)/H,b[F].y-=K*(W.y-j.cy)/H})}g.forEach((w,O)=>{const{id:_,data:F}=w;if(!ie(F.x)||!ie(F.y))return;const W=.01*y*o;b[_].x-=W*(F.x-l[0]),b[_].y-=W*(F.y-l[1]),i===3&&(b[_].z-=W*(F.z-l[2]))}),g.forEach((w,O)=>{const{id:_,data:F}=w;if(ie(F.fx)&&ie(F.fy)){F.x=F.fx,F.y=F.fy,i===3&&(F.z=F.fz);return}if(!ie(F.x)||!ie(F.y))return;const W=Math.sqrt(b[_].x*b[_].x+b[_].y*b[_].y+(i===3?b[_].z*b[_].z:0));if(W>0){const j=Math.min(v*(c/zL),W);t.mergeNodeData(_,{x:F.x+b[_].x/W*j,y:F.y+b[_].y/W*j,z:i===3?F.z+b[_].z/W*j:void 0})}})}applyCalculate(t,e,n,i){this.calRepulsive(t,e,i),this.calAttractive(t,e,n)}calRepulsive(t,e,n){const i=t.getAllNodes();i.forEach(({data:a,id:s},o)=>{e[s]={x:0,y:0,z:0},i.forEach(({data:l,id:c},u)=>{if(o<=u||!ie(a.x)||!ie(l.x)||!ie(a.y)||!ie(l.y))return;let h=a.x-l.x,d=a.y-l.y,f=this.options.dimensions===3?a.z-l.z:0,v=h*h+d*d+f*f;v===0&&(v=1,h=.01,d=.01,f=.01);const g=n/v,p=h*g,y=d*g,b=f*g;e[s].x+=p,e[s].y+=y,e[c].x-=p,e[c].y-=y,this.options.dimensions===3&&(e[s].z+=b,e[c].z-=b)})})}calAttractive(t,e,n){t.getAllEdges().forEach(a=>{const{source:s,target:o}=a;if(!s||!o||s===o)return;const{data:l}=t.getNode(s),{data:c}=t.getNode(o);if(!ie(c.x)||!ie(l.x)||!ie(c.y)||!ie(l.y))return;const u=c.x-l.x,h=c.y-l.y,d=this.options.dimensions===3?c.z-l.z:0,f=Math.sqrt(u*u+h*h+d*d)/n,v=u*f,g=h*f,p=d*f;e[s].x+=v,e[s].y+=g,e[o].x-=v,e[o].y-=g,this.options.dimensions===3&&(e[s].z+=p,e[o].z-=p)})}}const ZL={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 WL{constructor(t={}){this.options=t,this.id="grid",this.options=Object.assign(Object.assign({},ZL),t)}execute(t,e){return(0,G.mG)(this,void 0,void 0,function*(){return this.genericGridLayout(!1,t,e)})}assign(t,e){return(0,G.mG)(this,void 0,void 0,function*(){yield this.genericGridLayout(!0,t,e)})}genericGridLayout(t,e,n){return(0,G.mG)(this,void 0,void 0,function*(){const i=Object.assign(Object.assign({},this.options),n),{begin:a=[0,0],condense:s,preventOverlapPadding:o,preventOverlap:l,rows:c,cols:u,nodeSpacing:h,nodeSize:d,width:f,height:v,position:g}=i;let{sortBy:p}=i;const y=e.getAllNodes(),b=e.getAllEdges(),w=y==null?void 0:y.length;if(!w||w===1)return Zs(e,t,a);const O=y.map(yt=>ci(yt));p!=="id"&&(!Ve(p)||O[0].data[p]===void 0)&&(p="degree"),p==="degree"?O.sort((yt,Nt)=>e.getDegree(Nt.id,"both")-e.getDegree(yt.id,"both")):p==="id"?O.sort((yt,Nt)=>ie(Nt.id)&&ie(yt.id)?Nt.id-yt.id:`${yt.id}`.localeCompare(`${Nt.id}`)):O.sort((yt,Nt)=>Nt.data[p]-yt.data[p]);const _=!f&&typeof window!="undefined"?window.innerWidth:f,F=!v&&typeof window!="undefined"?window.innerHeight:v,W=w,j={rows:c,cols:u};if(c!=null&&u!=null)j.rows=c,j.cols=u;else if(c!=null&&u==null)j.rows=c,j.cols=Math.ceil(W/j.rows);else if(c==null&&u!=null)j.cols=u,j.rows=Math.ceil(W/j.cols);else{const yt=Math.sqrt(W*F/_);j.rows=Math.round(yt),j.cols=Math.round(_/F*yt)}if(j.rows=Math.max(j.rows,1),j.cols=Math.max(j.cols,1),j.cols*j.rows>W){const yt=nh(j),Nt=rh(j);(yt-1)*Nt>=W?nh(j,yt-1):(Nt-1)*yt>=W&&rh(j,Nt-1)}else for(;j.cols*j.rows=W?rh(j,Nt+1):nh(j,yt+1)}let H=s?0:_/j.cols,K=s?0:F/j.rows;if(l||h){const yt=js(10,h),Nt=Ov(30,d,!1);O.forEach(Ct=>{(!Ct.data.x||!Ct.data.y)&&(Ct.data.x=0,Ct.data.y=0);const pt=e.getNode(Ct.id),[xt,kt]=Pl(Nt(pt)||30),jt=yt!==void 0?yt(Ct):o,Xt=xt+jt,ee=kt+jt;H=Math.max(H,Xt),K=Math.max(K,ee)})}const et={},rt={row:0,col:0},lt={};for(let yt=0;yt{e.mergeNodeData(yt.id,{x:yt.data.x,y:yt.data.y})}),ht})}}const nh=(r,t)=>{let e;const n=r.rows||5,i=r.cols||5;return 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u=i-s,h=a-o,d=u*l+h*c,f=0;d<=0?f=0:(u=l-u,h=c-h,d=u*l+h*c,d<=0?f=0:f=d*d/(l*l+c*c));const v=u*u+h*h-f;return v<0?0:v}function Qa(r,t,e,n){return(r-e)*(r-e)+(t-n)*(t-n)}function Rb(r,t,e,n,i){return Qa(r,t,e,n)e;if(r===0)return Math.round;const t=Math.pow(10,r);return e=>Math.round(e*t)/t}function Lb(r){const t=Math.min(r.x1,r.x2),e=Math.max(r.x1,r.x2),n=Math.min(r.y1,r.y2),i=Math.max(r.y1,r.y2);return{x:t,y:n,x2:e,y2:i,width:e-t,height:i-n}}class dr{constructor(t,e,n,i){this.x1=t,this.y1=e,this.x2=n,this.y2=i}equals(t){return this.x1===t.x1&&this.y1===t.y1&&this.x2===t.x2&&this.y2===t.y2}draw(t){t.moveTo(this.x1,this.y1),t.lineTo(this.x2,this.y2)}toString(){return`Line(from=(${this.x1},${this.y1}),to=(${this.x2},${this.y2}))`}static from(t){return new dr(t.x1,t.y1,t.x2,t.y2)}cuts(t,e){if(this.y1===this.y2||ethis.y1&&e>=this.y2||t>this.x1&&t>=this.x2)return!1;if(tthis.x2+n)return!1}else if(tthis.x1+n)return!1;if(this.y1this.y2+n)return!1}else if(ethis.y1+n)return!1;return!0}}var Dn;(function(r){r[r.POINT=1]="POINT",r[r.PARALLEL=2]="PARALLEL",r[r.COINCIDENT=3]="COINCIDENT",r[r.NONE=4]="NONE"})(Dn||(Dn={}));class Vv{constructor(t,e=0,n=0){this.state=t,this.x=e,this.y=n}}function oh(r,t){const e=(t.x2-t.x1)*(r.y1-t.y1)-(t.y2-t.y1)*(r.x1-t.x1),n=(r.x2-r.x1)*(r.y1-t.y1)-(r.y2-r.y1)*(r.x1-t.x1),i=(t.y2-t.y1)*(r.x2-r.x1)-(t.x2-t.x1)*(r.y2-r.y1);if(i){const a=e/i,s=n/i;return 0<=a&&a<=1&&0<=s&&s<=1?new Vv(Dn.POINT,r.x1+a*(r.x2-r.x1),r.y1+a*(r.y2-r.y1)):new Vv(Dn.NONE)}return new Vv(e===0||n===0?Dn.COINCIDENT:Dn.PARALLEL)}function Db(r,t){const e=(t.x2-t.x1)*(r.y1-t.y1)-(t.y2-t.y1)*(r.x1-t.x1),n=(r.x2-r.x1)*(r.y1-t.y1)-(r.y2-r.y1)*(r.x1-t.x1),i=(t.y2-t.y1)*(r.x2-r.x1)-(t.x2-t.x1)*(r.y2-r.y1);if(i){const a=e/i,s=n/i;if(0<=a&&a<=1&&0<=s&&s<=1)return a}return Number.POSITIVE_INFINITY}function yD(r,t){function e(i,a,s,o){let l=Db(t,new dr(i,a,s,o));return l=Math.abs(l-.5),l>=0&&l<=1?1:0}let n=e(r.x,r.y,r.x2,r.y);return 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e=0;const n=oh(r,new dr(t.x,t.y,t.x2,t.y));e+=n.state===Dn.POINT?1:0;const i=oh(r,new dr(t.x,t.y,t.x,t.y2));e+=i.state===Dn.POINT?1:0;const a=oh(r,new dr(t.x,t.y2,t.x2,t.y2));e+=a.state===Dn.POINT?1:0;const s=oh(r,new dr(t.x2,t.y,t.x2,t.y2));return e+=s.state===Dn.POINT?1:0,{top:n,left:i,bottom:a,right:s,count:e}}class Nr{constructor(t,e,n,i){this.x=t,this.y=e,this.width=n,this.height=i}get x2(){return this.x+this.width}get y2(){return this.y+this.height}get cx(){return this.x+this.width/2}get cy(){return this.y+this.height/2}get radius(){return Math.max(this.width,this.height)/2}static from(t){return new Nr(t.x,t.y,t.width,t.height)}equals(t){return this.x===t.x&&this.y===t.y&&this.width===t.width&&this.height===t.height}clone(){return new Nr(this.x,this.y,this.width,this.height)}add(t){const e=Math.min(this.x,t.x),n=Math.min(this.y,t.y),i=Math.max(this.x2,t.x+t.width),a=Math.max(this.y2,t.y+t.height);this.x=e,this.y=n,this.width=i-e,this.height=a-n}addPoint(t){const 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Math.round(t*this.pixelGroup+this.pixelX)}invertScaleY(t){return Math.round(t*this.pixelGroup+this.pixelY)}addPadding(t,e){const n=Math.ceil(e/this.pixelGroup),i=this.boundX(t.x-n),a=this.boundY(t.y-n),s=this.boundX(t.x2+n),o=this.boundY(t.y2+n),l=s-i,c=o-a;return new Nr(i,a,l,c)}get(t,e){return t<0||e<0||t>=this.width||e>=this.height?Number.NaN:this.area[t+e*this.width]}inc(t,e,n){t<0||e<0||t>=this.width||e>=this.height||(this.area[t+e*this.width]+=n)}set(t,e,n){t<0||e<0||t>=this.width||e>=this.height||(this.area[t+e*this.width]=n)}incArea(t,e){if(t.width<=0||t.height<=0||e===0)return;const n=this.width,i=t.width,a=Math.max(0,t.i),s=Math.max(0,t.j),o=Math.min(t.i+t.width,n),l=Math.min(t.j+t.height,this.height);if(!(l<=0||o<=0||a>=n||l>=this.height))for(let c=s;cMath.min(s,o),Number.POSITIVE_INFINITY),i=this.area.reduce((s,o)=>Math.max(s,o),Number.NEGATIVE_INFINITY),a=s=>(s-n)/(i-n);t.scale(this.pixelGroup,this.pixelGroup);for(let 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e=Number.POSITIVE_INFINITY,n=null;for(const i of r){if(!_b(i,t))continue;const a=bD(i,t);a>=0&&a_b(n,t)&&yD(n,t)?e+1:e,0)}function hh(r,t,e,n){const i=e.top,a=e.left,s=e.bottom,o=e.right;if(n){if(a.state===Dn.POINT){if(i.state===Dn.POINT)return Sn(r.x-t,r.y-t);if(s.state===Dn.POINT)return Sn(r.x-t,r.y2+t);const d=r.width*r.height;return r.width*((a.y-r.y+(o.y-r.y))*.5)o.y?Sn(r.x-t,r.y-t):Sn(r.x2+t,r.y-t):a.ys.x?Sn(r.x-t,r.y-t):Sn(r.x-t,r.y2+t):i.xo.y?Sn(r.x2+t,r.y2+t):Sn(r.x-t,r.y2+t):a.ys.x?Sn(r.x2+t,r.y2+t):Sn(r.x2+t,r.y-t):i.xn)return!1}return!0}function RD(r=0){return t=>{if(r<0||t.length<3)return t;const e=[];let n=0;const i=r*r;for(;n{if(s.length<3)return s;const o=[],l=s.closed,c=s.length+3-1+(l?0:2);o.push(a(s,2-(l?0:2),0));for(let u=2-(l?0:2);u{let e=r,n=t.length;if(e>1)for(n=Math.floor(t.length/e);n<3&&e>1;)e-=1,n=Math.floor(t.length/e);const i=[];for(let a=0,s=0;s=n?this.closed?this.get(t-n):this.points[n-1]:this.points[e]}get length(){return 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e<0?!1:(this.members.splice(e,1),this.dirty.add(zi.MEMBERS),!0)}removeNonMember(t){const e=this.nonMembers.findIndex(n=>jb(n.raw,t));return e<0?!1:(this.nonMembers.splice(e,1),this.dirty.add(zi.NON_MEMBERS),!0)}removeEdge(t){const e=this.edges.findIndex(n=>n.obj.equals(t));return e<0?!1:(this.edges.splice(e,1),this.dirty.add(zi.NON_MEMBERS),!0)}pushNonMember(...t){if(t.length!==0){this.dirty.add(zi.NON_MEMBERS);for(const e of t)this.nonMembers.push({raw:e,obj:Ll(e)?ch.from(e):Nr.from(e),area:null})}}pushEdge(...t){if(t.length!==0){this.dirty.add(zi.EDGES);for(const e of t)this.edges.push({raw:e,obj:dr.from(e),area:null})}}update(){const t=this.dirty.has(zi.MEMBERS),e=this.dirty.has(zi.NON_MEMBERS);let n=this.dirty.has(zi.EDGES);this.dirty.clear();const i=this.members.map(c=>c.obj);if(this.o.virtualEdges&&(t||e)){const c=this.nonMembers.map(d=>d.obj),u=MD(i,c,this.o.maxRoutingIterations,this.o.morphBuffer),h=new Map(this.virtualEdges.map(d=>[d.obj.toString(),d.area]));this.virtualEdges=u.map(d=>{var f;return{raw:d,obj:d,area:(f=h.get(d.toString()))!==null&&f!==void 0?f:null}}),n=!0}let a=!1;if(t||n){const c=this.virtualEdges.concat(this.edges).map(f=>f.obj),u=zD(i,c),h=Math.max(this.o.edgeR1,this.o.nodeR1)+this.o.morphBuffer,d=Nr.from(Ib(u,h));d.equals(this.activeRegion)||(a=!0,this.activeRegion=d)}if(a){const c=Math.ceil(this.activeRegion.width/this.o.pixelGroup),u=Math.ceil(this.activeRegion.height/this.o.pixelGroup);this.activeRegion.x!==this.potentialArea.pixelX||this.activeRegion.y!==this.potentialArea.pixelY?(this.potentialArea=Ws.fromPixelRegion(this.activeRegion,this.o.pixelGroup),this.members.forEach(h=>h.area=null),this.nonMembers.forEach(h=>h.area=null),this.edges.forEach(h=>h.area=null),this.virtualEdges.forEach(h=>h.area=null)):(c!==this.potentialArea.width||u!==this.potentialArea.height)&&(this.potentialArea=Ws.fromPixelRegion(this.activeRegion,this.o.pixelGroup))}const s=new 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Rr=f[Zt+3*Ar],Hr=f[Zt+3*Ar+1],cn=f[Zt+3*Ar+2];lt[Nt++]=cn,lt[Nt++]=Hr,lt[Nt++]=Rr,lt[Nt++]=255}--wr}},this.decodeAndBlitFrameRGBA=function(Me,lt){var Et=this.frameInfo(Me),fr=Et.width*Et.height,vr=new Uint8Array(fr);Br(f,Et.data_offset,vr,fr);var Zt=Et.palette_offset,Tt=Et.transparent_index;Tt===null&&(Tt=256);var dr=Et.width,Yt=p-dr,wr=dr,je=4*(Et.y*p+Et.x),vt=4*((Et.y+Et.height)*p+Et.x),Nt=je,st=4*Yt;Et.interlaced===!0&&(st+=4*p*7);for(var qt=8,nr=0,Or=vr.length;nr=vt&&(st=4*Yt+4*p*(qt-1),Nt=je+(dr+Yt)*(qt<<1),qt>>=1)),Ar===Tt)Nt+=4;else{var Rr=f[Zt+3*Ar],Hr=f[Zt+3*Ar+1],cn=f[Zt+3*Ar+2];lt[Nt++]=Rr,lt[Nt++]=Hr,lt[Nt++]=cn,lt[Nt++]=255}--wr}}}function Br(f,s,p,b){for(var j=f[s++],d=1<>=Q,it-=Q,Kt!==d){if(Kt===ne)break;for(var ct=Ktd;)Cr=rt[Cr]>>8,++ur;var Qt=Cr;if(It+ur+(ct!==Kt?1:0)>b)return void Y.log("Warning, gif stream longer than expected.");p[It++]=Qt;var tt=It+=ur;for(ct!==Kt&&(p[It++]=Qt),Cr=ct;ur--;)Cr=rt[Cr],p[--tt]=255&Cr,Cr>>=8;gt!==null&&V<4096&&(rt[V++]=gt<<8|Qt,V>=Ae+1&&Q<12&&(++Q,Ae=Ae<<1|1)),gt=Kt}else V=ne+1,Ae=(1<<(Q=j+1))-1,gt=null}return It!==b&&Y.log("Warning, gif stream shorter than expected."),p}function pn(f){var s,p,b,j,d,ne=Math.floor,V=new Array(64),Q=new Array(64),Ae=new Array(64),it=new Array(64),Pt=new Array(65535),It=new Array(65535),ve=new Array(64),rt=new Array(64),gt=[],Kt=0,ct=7,ur=new Array(64),Cr=new Array(64),Qt=new Array(64),tt=new Array(256),we=new Array(2048),kt=[0,1,5,6,14,15,27,28,2,4,7,13,16,26,29,42,3,8,12,17,25,30,41,43,9,11,18,24,31,40,44,53,10,19,23,32,39,45,52,54,20,22,33,38,46,51,55,60,21,34,37,47,50,56,59,61,35,36,48,49,57,58,62,63],Ft=[0,0,1,5,1,1,1,1,1,1,0,0,0,0,0,0,0],Ot=[0,1,2,3,4,5,6,7,8,9,10,11],Jt=[0,0,2,1,3,3,2,4,3,5,5,4,4,0,0,1,125],Fe=[1,2,3,0,4,17,5,18,33,49,65,6,19,81,97,7,34,113,20,50,129,145,161,8,35,66,177,193,21,82,209,240,36,51,98,114,130,9,10,22,23,24,25,26,37,38,39,40,41,42,52,53,54,55,56,57,58,67,68,69,70,71,72,73,74,83,84,85,86,87,88,89,90,99,100,101,102,103,104,105,106,115,116,117,118,119,120,121,122,131,132,133,134,135,136,137,138,146,147,148,149,150,151,152,153,154,162,163,164,165,166,167,168,169,170,178,179,180,181,182,183,184,185,186,194,195,196,197,198,199,200,201,202,210,211,212,213,214,215,216,217,218,225,226,227,228,229,230,231,232,233,234,241,242,243,244,245,246,247,248,249,250],Me=[0,0,3,1,1,1,1,1,1,1,1,1,0,0,0,0,0],lt=[0,1,2,3,4,5,6,7,8,9,10,11],Et=[0,0,2,1,2,4,4,3,4,7,5,4,4,0,1,2,119],fr=[0,1,2,3,17,4,5,33,49,6,18,65,81,7,97,113,19,34,50,129,8,20,66,145,161,177,193,9,35,51,82,240,21,98,114,209,10,22,36,52,225,37,241,23,24,25,26,38,39,40,41,42,53,54,55,56,57,58,67,68,69,70,71,72,73,74,83,84,85,86,87,88,89,90,99,100,101,102,103,104,105,106,115,116,117,118,119,120,121,122,130,131,132,133,134,135,136,137,138,146,147,148,149,150,151,152,153,154,162,163,164,165,166,167,168,169,170,178,179,180,181,182,183,184,185,186,194,195,196,197,198,199,200,201,202,210,211,212,213,214,215,216,217,218,226,227,228,229,230,231,232,233,234,242,243,244,245,246,247,248,249,250];function vr(je,vt){for(var Nt=0,st=0,qt=new Array,nr=1;nr<=16;nr++){for(var Or=1;Or<=je[nr];Or++)qt[vt[st]]=[],qt[vt[st]][0]=Nt,qt[vt[st]][1]=nr,st++,Nt++;Nt*=2}return qt}function Zt(je){for(var vt=je[0],Nt=je[1]-1;Nt>=0;)vt&1<>8&255),Tt(255&je)}function Yt(je,vt,Nt,st,qt){for(var nr,Or=qt[0],Ar=qt[240],Rr=function(Jr,Vr){var En,oa,_n,xa,qn,Qn,ka,ra,Hn,ea,Un=0;for(Hn=0;Hn<8;++Hn){En=Jr[Un],oa=Jr[Un+1],_n=Jr[Un+2],xa=Jr[Un+3],qn=Jr[Un+4],Qn=Jr[Un+5],ka=Jr[Un+6];var Ln=En+(ra=Jr[Un+7]),Xn=En-ra,rn=oa+ka,mn=oa-ka,sa=_n+Qn,Sn=_n-Qn,ha=xa+qn,Vn=xa-qn,Ha=Ln+ha,qa=Ln-ha,yn=rn+sa,Pn=rn-sa;Jr[Un]=Ha+yn,Jr[Un+4]=Ha-yn;var fa=.707106781*(Pn+qa);Jr[Un+2]=qa+fa,Jr[Un+6]=qa-fa;var Ja=.382683433*((Ha=Vn+Sn)-(Pn=mn+Xn)),Ga=.5411961*Ha+Ja,io=1.306562965*Pn+Ja,so=.707106781*(yn=Sn+mn),la=Xn+so,Io=Xn-so;Jr[Un+5]=Io+Ga,Jr[Un+3]=Io-Ga,Jr[Un+1]=la+io,Jr[Un+7]=la-io,Un+=8}for(Un=0,Hn=0;Hn<8;++Hn){En=Jr[Un],oa=Jr[Un+8],_n=Jr[Un+16],xa=Jr[Un+24],qn=Jr[Un+32],Qn=Jr[Un+40],ka=Jr[Un+48];var Aa=En+(ra=Jr[Un+56]),ja=En-ra,Ta=oa+ka,Na=oa-ka,Ba=_n+Qn,ma=_n-Qn,Ka=xa+qn,La=xa-qn,Qa=Aa+Ka,eo=Aa-Ka,lo=Ta+Ba,Ao=Ta-Ba;Jr[Un]=Qa+lo,Jr[Un+32]=Qa-lo;var Co=.707106781*(Ao+eo);Jr[Un+16]=eo+Co,Jr[Un+48]=eo-Co;var Ra=.382683433*((Qa=La+ma)-(Ao=Na+ja)),Uo=.5411961*Qa+Ra,ho=1.306562965*Ao+Ra,No=.707106781*(lo=ma+Na),xo=ja+No,ii=ja-No;Jr[Un+40]=ii+Uo,Jr[Un+24]=ii-Uo,Jr[Un+8]=xo+ho,Jr[Un+56]=xo-ho,Un++}for(Hn=0;Hn<64;++Hn)ea=Jr[Hn]*Vr[Hn],ve[Hn]=ea>0?ea+.5|0:ea-.5|0;return ve}(je,vt),Hr=0;Hr<64;++Hr)rt[kt[Hr]]=Rr[Hr];var cn=rt[0]-Nt;Nt=rt[0],cn==0?Zt(st[0]):(Zt(st[It[nr=32767+cn]]),Zt(Pt[nr]));for(var wn=63;wn>0&&rt[wn]==0;)wn--;if(wn==0)return Zt(Or),Nt;for(var Lr,Mt=1;Mt<=wn;){for(var ba=Mt;rt[Mt]==0&&Mt<=wn;)++Mt;var da=Mt-ba;if(da>=16){Lr=da>>4;for(var Wn=1;Wn<=Lr;++Wn)Zt(Ar);da&=15}nr=32767+rt[Mt],Zt(qt[(da<<4)+It[nr]]),Zt(Pt[nr]),Mt++}return wn!=63&&Zt(Or),Nt}function wr(je){je=Math.min(Math.max(je,1),100),d!=je&&(function(vt){for(var Nt=[16,11,10,16,24,40,51,61,12,12,14,19,26,58,60,55,14,13,16,24,40,57,69,56,14,17,22,29,51,87,80,62,18,22,37,56,68,109,103,77,24,35,55,64,81,104,113,92,49,64,78,87,103,121,120,101,72,92,95,98,112,100,103,99],st=0;st<64;st++){var qt=ne((Nt[st]*vt+50)/100);qt=Math.min(Math.max(qt,1),255),V[kt[st]]=qt}for(var nr=[17,18,24,47,99,99,99,99,18,21,26,66,99,99,99,99,24,26,56,99,99,99,99,99,47,66,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99,99],Or=0;Or<64;Or++){var Ar=ne((nr[Or]*vt+50)/100);Ar=Math.min(Math.max(Ar,1),255),Q[kt[Or]]=Ar}for(var Rr=[1,1.387039845,1.306562965,1.175875602,1,.785694958,.5411961,.275899379],Hr=0,cn=0;cn<8;cn++)for(var wn=0;wn<8;wn++)Ae[Hr]=1/(V[kt[Hr]]*Rr[cn]*Rr[wn]*8),it[Hr]=1/(Q[kt[Hr]]*Rr[cn]*Rr[wn]*8),Hr++}(je<50?Math.floor(5e3/je):Math.floor(200-2*je)),d=je)}this.encode=function(je,vt){vt&&wr(vt),gt=new Array,Kt=0,ct=7,dr(65496),dr(65504),dr(16),Tt(74),Tt(70),Tt(73),Tt(70),Tt(0),Tt(1),Tt(1),Tt(0),dr(1),dr(1),Tt(0),Tt(0),function(){dr(65499),dr(132),Tt(0);for(var oa=0;oa<64;oa++)Tt(V[oa]);Tt(1);for(var _n=0;_n<64;_n++)Tt(Q[_n])}(),function(oa,_n){dr(65472),dr(17),Tt(8),dr(_n),dr(oa),Tt(3),Tt(1),Tt(17),Tt(0),Tt(2),Tt(17),Tt(1),Tt(3),Tt(17),Tt(1)}(je.width,je.height),function(){dr(65476),dr(418),Tt(0);for(var oa=0;oa<16;oa++)Tt(Ft[oa+1]);for(var _n=0;_n<=11;_n++)Tt(Ot[_n]);Tt(16);for(var xa=0;xa<16;xa++)Tt(Jt[xa+1]);for(var qn=0;qn<=161;qn++)Tt(Fe[qn]);Tt(1);for(var Qn=0;Qn<16;Qn++)Tt(Me[Qn+1]);for(var ka=0;ka<=11;ka++)Tt(lt[ka]);Tt(17);for(var ra=0;ra<16;ra++)Tt(Et[ra+1]);for(var Hn=0;Hn<=161;Hn++)Tt(fr[Hn])}(),dr(65498),dr(12),Tt(3),Tt(1),Tt(0),Tt(2),Tt(17),Tt(3),Tt(17),Tt(0),Tt(63),Tt(0);var Nt=0,st=0,qt=0;Kt=0,ct=7,this.encode.displayName="_encode_";for(var nr,Or,Ar,Rr,Hr,cn,wn,Lr,Mt,ba=je.data,da=je.width,Wn=je.height,Jr=4*da,Vr=0;Vr>3)*Jr+(wn=4*(7&Mt)),Vr+Lr>=Wn&&(cn-=Jr*(Vr+1+Lr-Wn)),nr+wn>=Jr&&(cn-=nr+wn-Jr+4),Or=ba[cn++],Ar=ba[cn++],Rr=ba[cn++],ur[Mt]=(we[Or]+we[Ar+256|0]+we[Rr+512|0]>>16)-128,Cr[Mt]=(we[Or+768|0]+we[Ar+1024|0]+we[Rr+1280|0]>>16)-128,Qt[Mt]=(we[Or+1280|0]+we[Ar+1536|0]+we[Rr+1792|0]>>16)-128;Nt=Yt(ur,Ae,Nt,s,b),st=Yt(Cr,it,st,p,j),qt=Yt(Qt,it,qt,p,j),nr+=32}Vr+=8}if(ct>=0){var En=[];En[1]=ct+1,En[0]=(1<Me;Me++)if(Ot[Jt+Me]!=Fe.charCodeAt(Me))return!0;return!1}function b(Ot,Jt,Fe,Me,lt){for(var Et=0;EtEt+1?[]:new Jt),!(fr.length>>0;i&W;)W>>>=1;return W?(i&W-1)+W:i}function Fe(i,m,W,le,Ne){s(!(le%W));do i[m+(le-=W)]=Ne;while(0=Ne),512>=Ne)var Ge=d(512);else if((Ge=d(Ne))==null)return 0;return function(Qe,ut,bt,zt,mr,zr){var Dt,gr,Ir=ut,Xr=1<Dt;++Dt){if(Tr[Dt]>1<(Za-=Tr[Dt]))return 0;for(;0=Dt;++Dt,mr<<=1){if(ia+=Za<<=1,0>(Za-=Tr[Dt]))return 0;for(;0vn&&!(0>=(tn-=Tr[vn]));)++vn,tn<<=1;Xr+=pa=1<<(tn=vn-bt),Qe[ut+(vn=ya&fn)].g=tn+bt,Qe[ut+vn].value=Ir-ut-vn}zt.g=Dt-bt,zt.value=zr[gr++],Fe(Qe,Ir+(ya>>bt),mr,pa,zt),ya=Jt(ya,Dt)}}return ia!=2*Yr[15]-1?0:Xr}(i,m,W,le,Ne,Ge)}function lt(){this.value=this.g=0}function Et(){this.value=this.g=0}function fr(){this.G=ne(5,lt),this.H=d(5),this.jc=this.Qb=this.qb=this.nd=0,this.pd=ne(gn,Et)}function vr(i,m,W,le){s(i!=null),s(m!=null),s(2147483648>le),i.Ca=254,i.I=0,i.b=-8,i.Ka=0,i.oa=m,i.pa=W,i.Jd=m,i.Yc=W+le,i.Zc=4<=le?W+le-4+1:W,Or(i)}function Zt(i,m){for(var W=0;0le),i.Sb=le,i.Ra=0,i.u=0,i.h=0,4>>=8,i.Ra+=i.oa[i.pa+i.bb]<>>0,++i.bb,i.u-=8;st(i)&&(i.h=1,i.u=0)}function wr(i,m){if(s(0<=m),!i.h&&m<=Tn){var W=Nt(i)&Nn[m];return i.u+=m,Yt(i),W}return i.h=1,i.u=0}function je(){this.b=this.Ca=this.I=0,this.oa=[],this.pa=0,this.Jd=[],this.Yc=0,this.Zc=[],this.Ka=0}function vt(){this.Ra=0,this.oa=[],this.h=this.u=this.bb=this.Sb=this.pa=0}function Nt(i){return i.Ra>>>(i.u&ca-1)>>>0}function st(i){return s(i.bb<=i.Sb),i.h||i.bb==i.Sb&&i.u>ca}function qt(i,m){i.u=m,i.h=st(i)}function nr(i){i.u>=va&&(s(i.u>=va),Yt(i))}function Or(i){s(i!=null&&i.oa!=null),i.pa>>0,i.b+=8):(s(i!=null&&i.oa!=null),i.pai.b&&Or(i);var le=i.b,Ne=W*m>>>8,Ge=(i.I>>>le>Ne)+0;for(Ge?(W-=Ne,i.I-=Ne+1<>>0):W=Ne+1,le=W,Ne=0;256<=le;)Ne+=8,le>>=8;return le=7^Ne+Pa[le],i.b-=le,i.Ca=(W<>24&255,i[m+1]=W>>16&255,i[m+2]=W>>8&255,i[m+3]=255&W}function cn(i,m){return i[m+0]|i[m+1]<<8}function wn(i,m){return cn(i,m)|i[m+2]<<16}function Lr(i,m){return cn(i,m)|cn(i,m+2)<<16}function Mt(i,m){var W=1<=Ne||0>=Ge?0:(W[0]=Ne,le[0]=Ge,1)}function Jr(i,m){return i+(1<>>m}function Vr(i,m){return((4278255360&i)+(4278255360&m)>>>0&4278255360)+((16711935&i)+(16711935&m)>>>0&16711935)>>>0}function En(i,m){Ot[m]=function(W,le,Ne,Ge,Qe,ut,bt){var zt;for(zt=0;zt>>1)+(i&m)>>>0}function xa(i){return 0<=i&&256>i?i:0>i?0:255>1))}function Qn(i,m,W){return Math.abs(m-W)-Math.abs(i-W)}function ka(i,m,W,le,Ne,Ge,Qe){for(le=Ge[Qe-1],W=0;W>8&255,bt=16711935&(bt=(bt=16711935&Qe)+((ut<<16)+ut));le[Ne+Ge]=(4278255360&Qe)+bt>>>0}}function Hn(i,m){m.jd=255&i,m.hd=i>>8&255,m.ud=i>>16&255}function ea(i,m,W,le,Ne,Ge){var Qe;for(Qe=0;Qe>>8,zt=ut,mr=255&(mr=(mr=ut>>>16)+((i.jd<<24>>24)*(bt<<24>>24)>>>5));zt=255&(zt=(zt+=(i.hd<<24>>24)*(bt<<24>>24)>>>5)+((i.ud<<24>>24)*(mr<<24>>24)>>>5)),Ne[Ge+Qe]=(4278255360&ut)+(mr<<16)+zt}}function Un(i,m,W,le,Ne){Ot[m]=function(Ge,Qe,ut,bt,zt,mr,zr,Dt,gr){for(bt=zr;bt>Ge.b,gr=Ge.Ea,Ir=Ge.K[0],Xr=Ge.w;if(8>Dt)for(Ge=(1<>=Dt}else Ot["VP8LMapColor"+W](bt,zt,Ir,Xr,mr,zr,Qe,ut,gr)}}function Ln(i,m,W,le,Ne){for(W=m+W;m>16&255,le[Ne++]=Ge>>8&255,le[Ne++]=255&Ge}}function Xn(i,m,W,le,Ne){for(W=m+W;m>16&255,le[Ne++]=Ge>>8&255,le[Ne++]=255&Ge,le[Ne++]=Ge>>24&255}}function rn(i,m,W,le,Ne){for(W=m+W;m>16&240|Qe>>12&15,Qe=240&Qe|Qe>>28&15;le[Ne++]=Ge,le[Ne++]=Qe}}function mn(i,m,W,le,Ne){for(W=m+W;m>16&248|Qe>>13&7,Qe=Qe>>5&224|Qe>>3&31;le[Ne++]=Ge,le[Ne++]=Qe}}function sa(i,m,W,le,Ne){for(W=m+W;m>8&255,le[Ne++]=Ge>>16&255}}function Sn(i,m,W,le,Ne,Ge){if(Ge==0)for(W=m+W;m>24|Ge[1]>>8&65280|Ge[2]<<8&16711680|Ge[3]<<24)>>>0),Ne+=32;else b(le,Ne,i,m,W)}function ha(i,m){Ot[m][0]=Ot[i+"0"],Ot[m][1]=Ot[i+"1"],Ot[m][2]=Ot[i+"2"],Ot[m][3]=Ot[i+"3"],Ot[m][4]=Ot[i+"4"],Ot[m][5]=Ot[i+"5"],Ot[m][6]=Ot[i+"6"],Ot[m][7]=Ot[i+"7"],Ot[m][8]=Ot[i+"8"],Ot[m][9]=Ot[i+"9"],Ot[m][10]=Ot[i+"10"],Ot[m][11]=Ot[i+"11"],Ot[m][12]=Ot[i+"12"],Ot[m][13]=Ot[i+"13"],Ot[m][14]=Ot[i+"0"],Ot[m][15]=Ot[i+"0"]}function Vn(i){return i==p0||i==g0||i==r0||i==v0}function Ha(){this.eb=[],this.size=this.A=this.fb=0}function qa(){this.y=[],this.f=[],this.ea=[],this.F=[],this.Tc=this.Ed=this.Cd=this.Fd=this.lb=this.Db=this.Ab=this.fa=this.J=this.W=this.N=this.O=0}function yn(){this.Rd=this.height=this.width=this.S=0,this.f={},this.f.RGBA=new Ha,this.f.kb=new qa,this.sd=null}function Pn(){this.width=[0],this.height=[0],this.Pd=[0],this.Qd=[0],this.format=[0]}function fa(){this.Id=this.fd=this.Md=this.hb=this.ib=this.da=this.bd=this.cd=this.j=this.v=this.Da=this.Sd=this.ob=0}function Ja(i){return alert("todo:WebPSamplerProcessPlane"),i.T}function Ga(i,m){var W=i.T,le=m.ba.f.RGBA,Ne=le.eb,Ge=le.fb+i.ka*le.A,Qe=_i[m.ba.S],ut=i.y,bt=i.O,zt=i.f,mr=i.N,zr=i.ea,Dt=i.W,gr=m.cc,Ir=m.dc,Xr=m.Mc,Tr=m.Nc,Yr=i.ka,tn=i.ka+i.T,vn=i.U,fn=vn+1>>1;for(Yr==0?Qe(ut,bt,null,null,zt,mr,zr,Dt,zt,mr,zr,Dt,Ne,Ge,null,null,vn):(Qe(m.ec,m.fc,ut,bt,gr,Ir,Xr,Tr,zt,mr,zr,Dt,Ne,Ge-le.A,Ne,Ge,vn),++W);Yr+2W,Ne=W==Qs||W==e0||W==t0||W==m0||W==12||Vn(W);if(m.memory=null,m.Ib=null,m.Jb=null,m.Nd=null,!Zr(m.Oa,i,Ne?11:12))return 0;if(Ne&&Vn(W)&&Ur(),i.da)alert("todo:use_scaling");else{if(le){if(m.Ib=Ja,i.Kb){if(W=i.U+1>>1,m.memory=d(i.U+2*W),m.memory==null)return 0;m.ec=m.memory,m.fc=0,m.cc=m.ec,m.dc=m.fc+i.U,m.Mc=m.cc,m.Nc=m.dc+W,m.Ib=Ga,Ur()}}else alert("todo:EmitYUV");Ne&&(m.Jb=io,le&&ar())}if(le&&!K0){for(i=0;256>i;++i)Al[i]=89858*(i-128)+a0>>n0,jl[i]=-22014*(i-128)+a0,Pl[i]=-45773*(i-128),$l[i]=113618*(i-128)+a0>>n0;for(i=Zs;i>n0,Nl[i-Zs]=be(m,255),Ml[i-Zs]=be(m+8>>4,15);K0=1}return 1}function la(i){var m=i.ma,W=i.U,le=i.T;return s(!(1&i.ka)),0>=W||0>=le?0:(W=m.Ib(i,m),m.Jb!=null&&m.Jb(i,m,W),m.Dc+=W,1)}function Io(i){i.ma.memory=null}function Aa(i,m,W,le){return wr(i,8)!=47?0:(m[0]=wr(i,14)+1,W[0]=wr(i,14)+1,le[0]=wr(i,1),wr(i,3)!=0?0:!i.h)}function ja(i,m){if(4>i)return i+1;var W=i-2>>1;return(2+(1&i)<>4)*i+(8-(15&W)))?W:1;var W}function Na(i,m,W){var le=Nt(W),Ne=i[m+=255&le].g-8;return 0>>0,s(8>=W.g),i.g}function ma(i,m,W){var le=i.xc;return s((m=le==0?0:i.vc[i.md*(W>>le)+(m>>le)])>pa.b)*ia;Xrvn&&(ga=vn),(0,vo[Ya[Vo++]>>8&15])(Dt,gr+ +Va,Yr,tn+Va-vn,ga-Va,Yr,tn+Va),Va=ga}gr+=vn,tn+=vn,++Xr&ya||(pa+=ia)}zr!=zt.nc&&b(bt,ut-Ir,bt,ut+(zr-mr-1)*Ir,Ir);break;case 1:for(Ir=Dt,Tr=gr,vn=(Dt=zt.Ea)-(tn=Dt&~(Yr=(gr=1<>zt.b)*Xr;mr=Ne),0Ge.o&&(le=Ge.o),W=le?W=0:(Ne[0]+=4*Ge.v,Ge.ka=W-Ge.j,Ge.U=Ge.va-Ge.v,Ge.T=le-W,W=1),W){if(ut=ut[0],11>(W=i.ca).S){var mr=W.f.RGBA,zr=(le=W.S,Ne=Ge.U,Ge=Ge.T,zt=mr.eb,mr.A),Dt=Ge;for(mr=mr.fb+i.Ma*mr.A;0le){var Ne=i.l.width,Ge=W.ca,Qe=W.tb+Ne*le,ut=i.V,bt=i.Ba+i.c*le,zt=i.gc;s(i.ab==1),s(zt[0].hc==3),Po(zt[0],le,m,ut,bt,Ge,Qe),eo(W,le,m,Ge,Qe,Ne)}i.C=i.Ma=m}function Ao(i,m,W,le,Ne,Ge,Qe){var ut=i.$/le,bt=i.$%le,zt=i.m,mr=i.s,zr=W+i.$,Dt=zr;Ne=W+le*Ne;var gr=W+le*Ge,Ir=280+mr.ua,Xr=i.Pb?ut:16777216,Tr=0=Xr){var ya=zr-W;s((Xr=i).Pb),Xr.wd=Xr.m,Xr.xd=ya,0Za.g?(qt(fn,fn.u+Za.g),ya[ia]=Za.value,fn=0):(qt(fn,fn.u+Za.g-256),s(256<=Za.value),fn=Za.value),fn==0&&(vn=!0)}else fn=Na(tn.G[0],tn.H[0],zt);if(zt.h)break;if(vn||256>fn){if(!vn)if(tn.nd)m[zr]=(tn.qb|fn<<8)>>>0;else{if(nr(zt),vn=Na(tn.G[1],tn.H[1],zt),nr(zt),ya=Na(tn.G[2],tn.H[2],zt),ia=Na(tn.G[3],tn.H[3],zt),zt.h)break;m[zr]=(ia<<24|vn<<16|fn<<8|ya)>>>0}if(vn=!1,++zr,++bt>=le&&(bt=0,++ut,Qe!=null&&ut<=Ge&&!(ut%16)&&Qe(i,ut),Tr!=null))for(;Dt>>Tr.Mb]=fn}else if(280>fn){if(fn=ja(fn-256,zt),ya=Na(tn.G[4],tn.H[4],zt),nr(zt),ya=Ta(le,ya=ja(ya,zt)),zt.h)break;if(zr-W=le;)bt-=le,++ut,Qe!=null&&ut<=Ge&&!(ut%16)&&Qe(i,ut);if(s(zr<=Ne),bt&Yr&&(tn=ma(mr,bt,ut)),Tr!=null)for(;Dt>>Tr.Mb]=fn}else{if(!(fn>>Tr.Mb]=fn;fn=zr,s(!(vn>>>(ya=Tr).Xa)),m[fn]=ya.X[vn],vn=!0}vn||s(zt.h==st(zt))}if(i.Pb&&zt.h&&zrGe?Ge:ut),i.a=0,i.$=zr-W}return 1}return i.a=3,0}function Co(i){s(i!=null),i.vc=null,i.yc=null,i.Ya=null;var m=i.Wa;m!=null&&(m.X=null),i.vb=null,s(i!=null)}function Ra(){var i=new re;return i==null?null:(i.a=0,i.xb=H0,ha("Predictor","VP8LPredictors"),ha("Predictor","VP8LPredictors_C"),ha("PredictorAdd","VP8LPredictorsAdd"),ha("PredictorAdd","VP8LPredictorsAdd_C"),Sa=ra,ri=ea,Oo=Ln,Wo=Xn,Yo=rn,hi=mn,Si=sa,Ot.VP8LMapColor32b=Ua,Ot.VP8LMapColor8b=jo,i)}function Uo(i,m,W,le,Ne){var Ge=1,Qe=[i],ut=[m],bt=le.m,zt=le.s,mr=null,zr=0;e:for(;;){if(W)for(;Ge&&wr(bt,1);){var Dt=Qe,gr=ut,Ir=le,Xr=1,Tr=Ir.m,Yr=Ir.gc[Ir.ab],tn=wr(Tr,2);if(Ir.Oc&1<=Ir.ab),tn){case 0:case 1:Yr.b=wr(Tr,3)+2,Xr=Uo(Jr(Yr.Ea,Yr.b),Jr(Yr.nc,Yr.b),0,Ir,Yr.K),Yr.K=Yr.K[0];break;case 3:var vn,fn=wr(Tr,8)+1,ya=16>pa.b),Vo=d(Ya);if(Vo==null)vn=0;else{var Va=pa.K[0],ga=pa.w;for(Vo[0]=pa.K[0][0],ia=1;ia<1*Za;++ia)Vo[ia]=Vr(Va[ga+ia],Vo[ia-1]);for(;ia<4*Ya;++ia)Vo[ia]=0;pa.K[0]=null,pa.K[0]=Vo,vn=1}}Xr=vn;break;case 2:break;default:s(0)}Ge=Xr}}if(Qe=Qe[0],ut=ut[0],Ge&&wr(bt,1)&&!(Ge=1<=(zr=wr(bt,4))&&11>=zr)){le.a=3;break e}var Fn;if(Fn=Ge)t:{var Fo,Da,to,Eo=le,qo=Qe,fi=ut,Bo=zr,oi=W,mi=Eo.m,Go=Eo.s,no=[null],mo=1,Lo=0,po=ml[Bo];r:for(;;){if(oi&&wr(mi,1)){var Jo=wr(mi,3)+2,os=Jr(qo,Jo),ko=Jr(fi,Jo),Ci=os*ko;if(!Uo(os,ko,0,Eo,no))break r;for(no=no[0],Go.xc=Jo,Fo=0;Fo>8&65535;no[Fo]=yo,yo>=mo&&(mo=yo+1)}}if(mi.h)break r;for(Da=0;5>Da;++Da){var Ko=F0[Da];!Da&&0=pi),Ti=Mi;var Oi=d(Lo);if(Ti==null||Oi==null||Ni==null){Eo.a=1;break r}var Bi=Ni;for(Fo=to=0;FoDa;++Da){Ko=F0[Da],Li[Da]=Bi,is[Da]=to,!Da&&0u0)break n}else C0=u0;for(Gs=0;Gsks)el[Gs++]=ks,ks!=0&&(tl=ks);else{var Wl=ks==16,al=ks-16,Ul=ul[al],ol=wr(js,cl[al])+Ul;if(Gs+ol>u0)break n;for(var Zl=Wl?tl:0;0=Da){var Ks,E0=Oi[0];for(Ks=1;KsE0&&(E0=Oi[Ks]);Qo+=E0}}if(So.nd=xs,So.Qb=0,xs&&(So.qb=(Li[3][is[3]+0].value<<24|Li[1][is[1]+0].value<<16|Li[2][is[2]+0].value)>>>0,Rs==0&&256>Li[0][is[0]+0].value&&(So.Qb=1,So.qb+=Li[0][is[0]+0].value<<8)),So.jc=!So.Qb&&6>Qo,So.jc){var d0,ws=So;for(d0=0;d0>=Ba(h0,8,Ms),Ns>>=Ba(ws.G[1][ws.H[1]+Ns],16,Ms),Ns>>=Ba(ws.G[2][ws.H[2]+Ns],0,Ms),Ba(ws.G[3][ws.H[3]+Ns],24,Ms))}}}Go.vc=no,Go.Wb=mo,Go.Ya=Ti,Go.yc=Ni,Fn=1;break t}Fn=0}if(!(Ge=Fn)){le.a=3;break e}if(0le+1?[]:0),!(Ne.lengthNe)return za(i,7,"Truncated header.");var Ge=W[le+0]|W[le+1]<<8|W[le+2]<<16,Qe=i.Od;if(Qe.Rb=!(1&Ge),Qe.td=Ge>>1&7,Qe.yd=Ge>>4&1,Qe.ub=Ge>>5,3Ne)return za(i,7,"cannot parse picture header");if(!$o(W,le,Ne))return za(i,3,"Bad code word");ut.c=16383&(W[le+4]<<8|W[le+3]),ut.Td=W[le+4]>>6,ut.i=16383&(W[le+6]<<8|W[le+5]),ut.Ud=W[le+6]>>6,le+=7,Ne-=7,i.za=ut.c+15>>4,i.Ub=ut.i+15>>4,m.width=ut.c,m.height=ut.i,m.Da=0,m.j=0,m.v=0,m.va=m.width,m.o=m.height,m.da=0,m.ib=m.width,m.hb=m.height,m.U=m.width,m.T=m.height,j((Ge=i.Pa).jb,0,255,Ge.jb.length),s((Ge=i.Qa)!=null),Ge.Cb=0,Ge.Bb=0,Ge.Fb=1,j(Ge.Zb,0,0,Ge.Zb.length),j(Ge.Lb,0,0,Ge.Lb)}if(Qe.ub>Ne)return za(i,7,"bad partition length");vr(Ge=i.m,W,le,Qe.ub),le+=Qe.ub,Ne-=Qe.ub,Qe.Rb&&(ut.Ld=Ar(Ge),ut.Kd=Ar(Ge)),ut=i.Qa;var bt,zt=i.Pa;if(s(Ge!=null),s(ut!=null),ut.Cb=Ar(Ge),ut.Cb){if(ut.Bb=Ar(Ge),Ar(Ge)){for(ut.Fb=Ar(Ge),bt=0;4>bt;++bt)ut.Zb[bt]=Ar(Ge)?Tt(Ge,7):0;for(bt=0;4>bt;++bt)ut.Lb[bt]=Ar(Ge)?Tt(Ge,6):0}if(ut.Bb)for(bt=0;3>bt;++bt)zt.jb[bt]=Ar(Ge)?Zt(Ge,8):255}else ut.Bb=0;if(Ge.Ka)return za(i,3,"cannot parse segment header");if((ut=i.ed).zd=Ar(Ge),ut.Tb=Zt(Ge,6),ut.wb=Zt(Ge,3),ut.Pc=Ar(Ge),ut.Pc&&Ar(Ge)){for(zt=0;4>zt;++zt)Ar(Ge)&&(ut.vd[zt]=Tt(Ge,6));for(zt=0;4>zt;++zt)Ar(Ge)&&(ut.od[zt]=Tt(Ge,6))}if(i.L=ut.Tb==0?0:ut.zd?1:2,Ge.Ka)return za(i,3,"cannot parse filter header");var mr=Ne;if(Ne=bt=le,le=bt+mr,ut=mr,i.Xb=(1<ut&&(zr=ut),vr(i.Jc[+mr],W,bt,zr),bt+=zr,ut-=zr,Ne+=3}vr(i.Jc[+zt],W,bt,ut),W=btzr;++zr){if(mr.Cb){var Dt=mr.Zb[zr];mr.Fb||(Dt+=W)}else{if(0>16,8>gr.Eb[1]&&(gr.Eb[1]=8),gr.Qc[0]=b0[be(Dt+zt,117)],gr.Qc[1]=y0[be(Dt+bt,127)],gr.lc=Dt+bt}if(!Qe.Rb)return za(i,4,"Not a key frame.");for(Ar(Ge),Qe=i.Pa,W=0;4>W;++W){for(Ne=0;8>Ne;++Ne)for(le=0;3>le;++le)for(ut=0;11>ut;++ut)zt=Rr(Ge,xl[W][Ne][le][ut])?Zt(Ge,8):bl[W][Ne][le][ut],Qe.Wc[W][Ne].Yb[le][ut]=zt;for(Ne=0;17>Ne;++Ne)Qe.Xc[W][Ne]=Qe.Wc[W][wl[Ne]]}return i.kc=Ar(Ge),i.kc&&(i.Bd=Zt(Ge,8)),i.cb=1}function co(i,m,W,le,Ne,Ge,Qe){var ut=m[Ne].Yb[W];for(W=0;16>Ne;++Ne){if(!Rr(i,ut[W+0]))return Ne;for(;!Rr(i,ut[W+1]);)if(ut=m[++Ne].Yb[0],W=0,Ne==16)return 16;var bt=m[Ne+1].Yb;if(Rr(i,ut[W+2])){var zt=i,mr=0;if(Rr(zt,(Dt=ut)[(zr=W)+3]))if(Rr(zt,Dt[zr+6])){for(ut=0,zr=2*(mr=Rr(zt,Dt[zr+8]))+(Dt=Rr(zt,Dt[zr+9+mr])),mr=0,Dt=gl[zr];Dt[ut];++ut)mr+=mr+Rr(zt,Dt[ut]);mr+=3+(8<(zt=i).b&&Or(zt);var zr,Dt=zt.b,gr=(zr=zt.Ca>>1)-(zt.I>>Dt)>>31;--zt.b,zt.Ca+=gr,zt.Ca|=1,zt.I-=(zr+1&gr)<>3),i[m+W+32*le]=-256&Ne?0>Ne?0:255:Ne}function Ri(i,m,W,le,Ne,Ge){wo(i,m,0,W,le+Ne),wo(i,m,1,W,le+Ge),wo(i,m,2,W,le-Ge),wo(i,m,3,W,le-Ne)}function Xa(i){return(20091*i>>16)+i}function Xi(i,m,W,le){var Ne,Ge=0,Qe=d(16);for(Ne=0;4>Ne;++Ne){var ut=i[m+0]+i[m+8],bt=i[m+0]-i[m+8],zt=(35468*i[m+4]>>16)-Xa(i[m+12]),mr=Xa(i[m+4])+(35468*i[m+12]>>16);Qe[Ge+0]=ut+mr,Qe[Ge+1]=bt+zt,Qe[Ge+2]=bt-zt,Qe[Ge+3]=ut-mr,Ge+=4,m++}for(Ne=Ge=0;4>Ne;++Ne)ut=(i=Qe[Ge+0]+4)+Qe[Ge+8],bt=i-Qe[Ge+8],zt=(35468*Qe[Ge+4]>>16)-Xa(Qe[Ge+12]),wo(W,le,0,0,ut+(mr=Xa(Qe[Ge+4])+(35468*Qe[Ge+12]>>16))),wo(W,le,1,0,bt+zt),wo(W,le,2,0,bt-zt),wo(W,le,3,0,ut-mr),Ge++,le+=32}function Ei(i,m,W,le){var Ne=i[m+0]+4,Ge=35468*i[m+4]>>16,Qe=Xa(i[m+4]),ut=35468*i[m+1]>>16;Ri(W,le,0,Ne+Qe,i=Xa(i[m+1]),ut),Ri(W,le,1,Ne+Ge,i,ut),Ri(W,le,2,Ne-Ge,i,ut),Ri(W,le,3,Ne-Qe,i,ut)}function Fi(i,m,W,le,Ne){Xi(i,m,W,le),Ne&&Xi(i,m+16,W,le+4)}function Ss(i,m,W,le){ni(i,m+0,W,le,1),ni(i,m+32,W,le+128,1)}function ci(i,m,W,le){var Ne;for(i=i[m+0]+4,Ne=0;4>Ne;++Ne)for(m=0;4>m;++m)wo(W,le,m,Ne,i)}function ss(i,m,W,le){i[m+0]&&_a(i,m+0,W,le),i[m+16]&&_a(i,m+16,W,le+4),i[m+32]&&_a(i,m+32,W,le+128),i[m+48]&&_a(i,m+48,W,le+128+4)}function ls(i,m,W,le){var Ne,Ge=d(16);for(Ne=0;4>Ne;++Ne){var Qe=i[m+0+Ne]+i[m+12+Ne],ut=i[m+4+Ne]+i[m+8+Ne],bt=i[m+4+Ne]-i[m+8+Ne],zt=i[m+0+Ne]-i[m+12+Ne];Ge[0+Ne]=Qe+ut,Ge[8+Ne]=Qe-ut,Ge[4+Ne]=zt+bt,Ge[12+Ne]=zt-bt}for(Ne=0;4>Ne;++Ne)Qe=(i=Ge[0+4*Ne]+3)+Ge[3+4*Ne],ut=Ge[1+4*Ne]+Ge[2+4*Ne],bt=Ge[1+4*Ne]-Ge[2+4*Ne],zt=i-Ge[3+4*Ne],W[le+0]=Qe+ut>>3,W[le+16]=zt+bt>>3,W[le+32]=Qe-ut>>3,W[le+48]=zt-bt>>3,le+=64}function ui(i,m,W){var le,Ne=m-32,Ge=ji,Qe=255-i[Ne-1];for(le=0;leW;++W)b(i,m+32*W,i,m-32,16)}function ki(i,m){var W;for(W=16;0le;++le)j(m,W+32*le,i,16)}function di(i,m){var W,le=16;for(W=0;16>W;++W)le+=i[m-1+32*W]+i[m+W-32];bi(le>>5,i,m)}function ms(i,m){var W,le=8;for(W=0;16>W;++W)le+=i[m-1+32*W];bi(le>>4,i,m)}function Xo(i,m){var W,le=8;for(W=0;16>W;++W)le+=i[m+W-32];bi(le>>4,i,m)}function yi(i,m){bi(128,i,m)}function Ia(i,m,W){return i+2*m+W+2>>2}function Os(i,m){var W,le=m-32;for(le=new Uint8Array([Ia(i[le-1],i[le+0],i[le+1]),Ia(i[le+0],i[le+1],i[le+2]),Ia(i[le+1],i[le+2],i[le+3]),Ia(i[le+2],i[le+3],i[le+4])]),W=0;4>W;++W)b(i,m+32*W,le,0,le.length)}function ps(i,m){var W=i[m-1],le=i[m-1+32],Ne=i[m-1+64],Ge=i[m-1+96];Hr(i,m+0,16843009*Ia(i[m-1-32],W,le)),Hr(i,m+32,16843009*Ia(W,le,Ne)),Hr(i,m+64,16843009*Ia(le,Ne,Ge)),Hr(i,m+96,16843009*Ia(Ne,Ge,Ge))}function Bs(i,m){var W,le=4;for(W=0;4>W;++W)le+=i[m+W-32]+i[m-1+32*W];for(le>>=3,W=0;4>W;++W)j(i,m+32*W,le,4)}function Hi(i,m){var W=i[m-1+0],le=i[m-1+32],Ne=i[m-1+64],Ge=i[m-1-32],Qe=i[m+0-32],ut=i[m+1-32],bt=i[m+2-32],zt=i[m+3-32];i[m+0+96]=Ia(le,Ne,i[m-1+96]),i[m+1+96]=i[m+0+64]=Ia(W,le,Ne),i[m+2+96]=i[m+1+64]=i[m+0+32]=Ia(Ge,W,le),i[m+3+96]=i[m+2+64]=i[m+1+32]=i[m+0+0]=Ia(Qe,Ge,W),i[m+3+64]=i[m+2+32]=i[m+1+0]=Ia(ut,Qe,Ge),i[m+3+32]=i[m+2+0]=Ia(bt,ut,Qe),i[m+3+0]=Ia(zt,bt,ut)}function ti(i,m){var W=i[m+1-32],le=i[m+2-32],Ne=i[m+3-32],Ge=i[m+4-32],Qe=i[m+5-32],ut=i[m+6-32],bt=i[m+7-32];i[m+0+0]=Ia(i[m+0-32],W,le),i[m+1+0]=i[m+0+32]=Ia(W,le,Ne),i[m+2+0]=i[m+1+32]=i[m+0+64]=Ia(le,Ne,Ge),i[m+3+0]=i[m+2+32]=i[m+1+64]=i[m+0+96]=Ia(Ne,Ge,Qe),i[m+3+32]=i[m+2+64]=i[m+1+96]=Ia(Ge,Qe,ut),i[m+3+64]=i[m+2+96]=Ia(Qe,ut,bt),i[m+3+96]=Ia(ut,bt,bt)}function xi(i,m){var W=i[m-1+0],le=i[m-1+32],Ne=i[m-1+64],Ge=i[m-1-32],Qe=i[m+0-32],ut=i[m+1-32],bt=i[m+2-32],zt=i[m+3-32];i[m+0+0]=i[m+1+64]=Ge+Qe+1>>1,i[m+1+0]=i[m+2+64]=Qe+ut+1>>1,i[m+2+0]=i[m+3+64]=ut+bt+1>>1,i[m+3+0]=bt+zt+1>>1,i[m+0+96]=Ia(Ne,le,W),i[m+0+64]=Ia(le,W,Ge),i[m+0+32]=i[m+1+96]=Ia(W,Ge,Qe),i[m+1+32]=i[m+2+96]=Ia(Ge,Qe,ut),i[m+2+32]=i[m+3+96]=Ia(Qe,ut,bt),i[m+3+32]=Ia(ut,bt,zt)}function Es(i,m){var W=i[m+0-32],le=i[m+1-32],Ne=i[m+2-32],Ge=i[m+3-32],Qe=i[m+4-32],ut=i[m+5-32],bt=i[m+6-32],zt=i[m+7-32];i[m+0+0]=W+le+1>>1,i[m+1+0]=i[m+0+64]=le+Ne+1>>1,i[m+2+0]=i[m+1+64]=Ne+Ge+1>>1,i[m+3+0]=i[m+2+64]=Ge+Qe+1>>1,i[m+0+32]=Ia(W,le,Ne),i[m+1+32]=i[m+0+96]=Ia(le,Ne,Ge),i[m+2+32]=i[m+1+96]=Ia(Ne,Ge,Qe),i[m+3+32]=i[m+2+96]=Ia(Ge,Qe,ut),i[m+3+64]=Ia(Qe,ut,bt),i[m+3+96]=Ia(ut,bt,zt)}function Ls(i,m){var W=i[m-1+0],le=i[m-1+32],Ne=i[m-1+64],Ge=i[m-1+96];i[m+0+0]=W+le+1>>1,i[m+2+0]=i[m+0+32]=le+Ne+1>>1,i[m+2+32]=i[m+0+64]=Ne+Ge+1>>1,i[m+1+0]=Ia(W,le,Ne),i[m+3+0]=i[m+1+32]=Ia(le,Ne,Ge),i[m+3+32]=i[m+1+64]=Ia(Ne,Ge,Ge),i[m+3+64]=i[m+2+64]=i[m+0+96]=i[m+1+96]=i[m+2+96]=i[m+3+96]=Ge}function qi(i,m){var W=i[m-1+0],le=i[m-1+32],Ne=i[m-1+64],Ge=i[m-1+96],Qe=i[m-1-32],ut=i[m+0-32],bt=i[m+1-32],zt=i[m+2-32];i[m+0+0]=i[m+2+32]=W+Qe+1>>1,i[m+0+32]=i[m+2+64]=le+W+1>>1,i[m+0+64]=i[m+2+96]=Ne+le+1>>1,i[m+0+96]=Ge+Ne+1>>1,i[m+3+0]=Ia(ut,bt,zt),i[m+2+0]=Ia(Qe,ut,bt),i[m+1+0]=i[m+3+32]=Ia(W,Qe,ut),i[m+1+32]=i[m+3+64]=Ia(le,W,Qe),i[m+1+64]=i[m+3+96]=Ia(Ne,le,W),i[m+1+96]=Ia(Ge,Ne,le)}function Ii(i,m){var W;for(W=0;8>W;++W)b(i,m+32*W,i,m-32,8)}function Ai(i,m){var W;for(W=0;8>W;++W)j(i,m,i[m-1],8),m+=32}function Ji(i,m,W){var le;for(le=0;8>le;++le)j(m,W+32*le,i,8)}function Wi(i,m){var W,le=8;for(W=0;8>W;++W)le+=i[m+W-32]+i[m-1+32*W];Ji(le>>4,i,m)}function Is(i,m){var W,le=4;for(W=0;8>W;++W)le+=i[m+W-32];Ji(le>>3,i,m)}function cs(i,m){var W,le=4;for(W=0;8>W;++W)le+=i[m-1+32*W];Ji(le>>3,i,m)}function us(i,m){Ji(128,i,m)}function ft(i,m,W){var le=i[m-W],Ne=i[m+0],Ge=3*(Ne-le)+f0[1020+i[m-2*W]-i[m+W]],Qe=qs[112+(Ge+4>>3)];i[m-W]=ji[255+le+qs[112+(Ge+3>>3)]],i[m+0]=ji[255+Ne-Qe]}function Zo(i,m,W,le){var Ne=i[m+0],Ge=i[m+W];return Ki[255+i[m-2*W]-i[m-W]]>le||Ki[255+Ge-Ne]>le}function Ui(i,m,W,le){return 4*Ki[255+i[m-W]-i[m+0]]+Ki[255+i[m-2*W]-i[m+W]]<=le}function Zi(i,m,W,le,Ne){var Ge=i[m-3*W],Qe=i[m-2*W],ut=i[m-W],bt=i[m+0],zt=i[m+W],mr=i[m+2*W],zr=i[m+3*W];return 4*Ki[255+ut-bt]+Ki[255+Qe-zt]>le?0:Ki[255+i[m-4*W]-Ge]<=Ne&&Ki[255+Ge-Qe]<=Ne&&Ki[255+Qe-ut]<=Ne&&Ki[255+zr-mr]<=Ne&&Ki[255+mr-zt]<=Ne&&Ki[255+zt-bt]<=Ne}function ds(i,m,W,le){var Ne=2*le+1;for(le=0;16>le;++le)Ui(i,m+le,W,Ne)&&ft(i,m+le,W)}function $i(i,m,W,le){var Ne=2*le+1;for(le=0;16>le;++le)Ui(i,m+le*W,1,Ne)&&ft(i,m+le*W,1)}function gs(i,m,W,le){var Ne;for(Ne=3;0>7,Yr=18*tn+63>>7,tn=9*tn+63>>7;bt[zt-3*mr]=ji[255+bt[zt-3*mr]+tn],bt[zt-2*mr]=ji[255+zr+Yr],bt[zt-mr]=ji[255+Dt+Tr],bt[zt+0]=ji[255+gr-Tr],bt[zt+mr]=ji[255+Ir-Yr],bt[zt+2*mr]=ji[255+Xr-tn]}m+=le}}function wi(i,m,W,le,Ne,Ge,Qe,ut){for(Ge=2*Ge+1;0>3)],Xr=qs[112+(Xr+3>>3)],Tr=Ir+1>>1;bt[zt-2*mr]=ji[255+bt[zt-2*mr]+Tr],bt[zt-mr]=ji[255+zr+Xr],bt[zt+0]=ji[255+Dt-Ir],bt[zt+mr]=ji[255+gr-Tr]}m+=le}}function hs(i,m,W,le,Ne,Ge){Pi(i,m,W,1,16,le,Ne,Ge)}function es(i,m,W,le,Ne,Ge){Pi(i,m,1,W,16,le,Ne,Ge)}function ts(i,m,W,le,Ne,Ge){var Qe;for(Qe=3;0zt?0:255:zt)&255,zt=bt,Ne[Ge+ut]=mr}}function k(i,m,W,le){var Ne=m.width,Ge=m.o;if(s(i!=null&&m!=null),0>W||0>=le||W+le>Ge)return null;if(!i.Cc){if(i.ga==null){var Qe;if(i.ga=new r,(Qe=i.ga==null)||(Qe=m.width*m.o,s(i.Gb.length==0),i.Gb=d(Qe),i.Uc=0,i.Gb==null?Qe=0:(i.mb=i.Gb,i.nb=i.Uc,i.rc=null,Qe=1),Qe=!Qe),!Qe){Qe=i.ga;var ut=i.Fa,bt=i.P,zt=i.qc,mr=i.mb,zr=i.nb,Dt=bt+1,gr=zt-1,Ir=Qe.l;if(s(ut!=null&&mr!=null&&m!=null),$s[0]=null,$s[1]=a,$s[2]=l,$s[3]=g,Qe.ca=mr,Qe.tb=zr,Qe.c=m.width,Qe.i=m.height,s(0=zt)m=0;else if(Qe.$a=3&ut[bt+0],Qe.Z=ut[bt+0]>>2&3,Qe.Lc=ut[bt+0]>>4&3,bt=ut[bt+0]>>6&3,0>Qe.$a||1=Qe.c*Qe.i;Qe=!m}if(Qe)return null;i.ga.Lc!=1?i.Ga=0:le=Ge-W}s(i.ga!=null),s(W+le<=Ge);e:{if(m=(ut=i.ga).c,Ge=ut.l.o,ut.$a==0){if(Dt=i.rc,gr=i.Vc,Ir=i.Fa,bt=i.P+1+W*m,zt=i.mb,mr=i.nb+W*m,s(bt<=i.P+i.qc),ut.Z!=0)for(s($s[ut.Z]!=null),Qe=0;Qe=m)m=1;else if(ut.ic||ar(),ut.ic){ut=Qe.V,Dt=Qe.Ba,gr=Qe.c;var Xr=Qe.i,Tr=(Ir=1,bt=Qe.$/gr,zt=Qe.$%gr,mr=Qe.m,zr=Qe.s,Qe.$),Yr=gr*Xr,tn=gr*m,vn=zr.wc,fn=Tr(Xr=Na(fn.G[0],fn.H[0],mr)))ut[Dt+Tr]=Xr,++Tr,++zt>=gr&&(zt=0,++bt<=m&&!(bt%16)&&lo(Qe,bt));else{if(!(280>Xr)){Ir=0;break t}Xr=ja(Xr-256,mr);var ya,ia=Na(fn.G[4],fn.H[4],mr);if(nr(mr),!(Tr>=(ia=Ta(gr,ia=ja(ia,mr)))&&Yr-Tr>=Xr)){Ir=0;break t}for(ya=0;ya=gr;)zt-=gr,++bt<=m&&!(bt%16)&&lo(Qe,bt);Trm?m:bt);break t}!Ir||mr.h&&Tr=Ge&&(i.Cc=1),le=1}if(!le)return null;if(i.Cc&&((le=i.ga)!=null&&(le.mc=null),i.ga=null,0>23,ut[bt+4*Qe+1]=ut[bt+4*Qe+1]*zr>>23,ut[bt+4*Qe+2]=ut[bt+4*Qe+2]*zr>>23)}m+=Ge}}function ze(i,m,W,le,Ne){for(;0>4)*bt>>16;i[m+2*Ge+0]=(240&Qe|Qe>>4)*bt>>16&240|(15&Qe|Qe<<4)*bt>>16>>4&15,i[m+2*Ge+1]=240&zt|ut}m+=Ne}}function Je(i,m,W,le,Ne,Ge,Qe,ut){var bt,zt,mr=255;for(zt=0;zt>8}function ar(){bs=ie,zs=ze,Ds=Je,N0=At}function pr(i,m,W){Ot[i]=function(le,Ne,Ge,Qe,ut,bt,zt,mr,zr,Dt,gr,Ir,Xr,Tr,Yr,tn,vn){var fn,ya=vn-1>>1,ia=ut[bt+0]|zt[mr+0]<<16,Za=zr[Dt+0]|gr[Ir+0]<<16;s(le!=null);var pa=3*ia+Za+131074>>2;for(m(le[Ne+0],255&pa,pa>>16,Xr,Tr),Ge!=null&&(pa=3*Za+ia+131074>>2,m(Ge[Qe+0],255&pa,pa>>16,Yr,tn)),fn=1;fn<=ya;++fn){var Ya=ut[bt+fn]|zt[mr+fn]<<16,Vo=zr[Dt+fn]|gr[Ir+fn]<<16,Va=ia+Ya+Za+Vo+524296,ga=Va+2*(Ya+Za)>>3;pa=ga+ia>>1,ia=(Va=Va+2*(ia+Vo)>>3)+Ya>>1,m(le[Ne+2*fn-1],255&pa,pa>>16,Xr,Tr+(2*fn-1)*W),m(le[Ne+2*fn-0],255&ia,ia>>16,Xr,Tr+(2*fn-0)*W),Ge!=null&&(pa=Va+Za>>1,ia=ga+Vo>>1,m(Ge[Qe+2*fn-1],255&pa,pa>>16,Yr,tn+(2*fn-1)*W),m(Ge[Qe+2*fn+0],255&ia,ia>>16,Yr,tn+(2*fn+0)*W)),ia=Ya,Za=Vo}1&vn||(pa=3*ia+Za+131074>>2,m(le[Ne+vn-1],255&pa,pa>>16,Xr,Tr+(vn-1)*W),Ge!=null&&(pa=3*Za+ia+131074>>2,m(Ge[Qe+vn-1],255&pa,pa>>16,Yr,tn+(vn-1)*W)))}}function Ur(){_i[Js]=Cl,_i[Qs]=W0,_i[D0]=Ol,_i[e0]=U0,_i[t0]=Z0,_i[m0]=V0,_i[R0]=El,_i[p0]=W0,_i[g0]=U0,_i[r0]=Z0,_i[v0]=V0}function en(i){return i&~Il?0>i?0:255:i>>G0}function hn(i,m){return en((19077*i>>8)+(26149*m>>8)-14234)}function In(i,m,W){return en((19077*i>>8)-(6419*m>>8)-(13320*W>>8)+8708)}function Gn(i,m){return en((19077*i>>8)+(33050*m>>8)-17685)}function Oa(i,m,W,le,Ne){le[Ne+0]=hn(i,W),le[Ne+1]=In(i,m,W),le[Ne+2]=Gn(i,m)}function u(i,m,W,le,Ne){le[Ne+0]=Gn(i,m),le[Ne+1]=In(i,m,W),le[Ne+2]=hn(i,W)}function e(i,m,W,le,Ne){var Ge=In(i,m,W);m=Ge<<3&224|Gn(i,m)>>3,le[Ne+0]=248&hn(i,W)|Ge>>5,le[Ne+1]=m}function t(i,m,W,le,Ne){var Ge=240&Gn(i,m)|15;le[Ne+0]=240&hn(i,W)|In(i,m,W)>>4,le[Ne+1]=Ge}function h(i,m,W,le,Ne){le[Ne+0]=255,Oa(i,m,W,le,Ne+1)}function E(i,m,W,le,Ne){u(i,m,W,le,Ne),le[Ne+3]=255}function G(i,m,W,le,Ne){Oa(i,m,W,le,Ne),le[Ne+3]=255}function be(i,m){return 0>i?0:i>m?m:i}function Ve(i,m,W){Ot[i]=function(le,Ne,Ge,Qe,ut,bt,zt,mr,zr){for(var Dt=mr+(-2&zr)*W;mr!=Dt;)m(le[Ne+0],Ge[Qe+0],ut[bt+0],zt,mr),m(le[Ne+1],Ge[Qe+0],ut[bt+0],zt,mr+W),Ne+=2,++Qe,++bt,mr+=2*W;1&zr&&m(le[Ne+0],Ge[Qe+0],ut[bt+0],zt,mr)}}function qe(i,m,W){return W==0?i==0?m==0?6:5:m==0?4:0:W}function Wt(i,m,W,le,Ne){switch(i>>>30){case 3:ni(m,W,le,Ne,0);break;case 2:Ro(m,W,le,Ne);break;case 1:_a(m,W,le,Ne)}}function lr(i,m){var W,le,Ne=m.M,Ge=m.Nb,Qe=i.oc,ut=i.pc+40,bt=i.oc,zt=i.pc+584,mr=i.oc,zr=i.pc+600;for(W=0;16>W;++W)Qe[ut+32*W-1]=129;for(W=0;8>W;++W)bt[zt+32*W-1]=129,mr[zr+32*W-1]=129;for(0W;++W)b(Qe,ut+32*W-4,Qe,ut+32*W+12,4);for(W=-1;8>W;++W)b(bt,zt+32*W-4,bt,zt+32*W+4,4),b(mr,zr+32*W-4,mr,zr+32*W+4,4)}var gr=i.Gd,Ir=i.Hd+le,Xr=Dt.ad,Tr=Dt.Hc;if(0=i.za-1?j(Yr,tn,gr[Ir].y[15],4):b(Yr,tn,gr[Ir+1].y,0,4)),W=0;4>W;W++)Yr[tn+128+W]=Yr[tn+256+W]=Yr[tn+384+W]=Yr[tn+0+W];for(W=0;16>W;++W,Tr<<=2)Yr=Qe,tn=ut+_0[W],as[Dt.Ob[W]](Yr,tn),Wt(Tr,Xr,16*+W,Yr,tn)}else if(Yr=qe(le,Ne,Dt.Ob[0]),As[Yr](Qe,ut),Tr!=0)for(W=0;16>W;++W,Tr<<=2)Wt(Tr,Xr,16*+W,Qe,ut+_0[W]);for(W=Dt.Gc,Yr=qe(le,Ne,Dt.Dd),ys[Yr](bt,zt),ys[Yr](mr,zr),Tr=Xr,Yr=bt,tn=zt,255&(Dt=0|W)&&(170&Dt?Mo(Tr,256,Yr,tn):uo(Tr,256,Yr,tn)),Dt=mr,Tr=zr,255&(W>>=8)&&(170&W?Mo(Xr,320,Dt,Tr):uo(Xr,320,Dt,Tr)),NeW;++W)b(gr,Ir+W*i.R,Qe,ut+32*W,16);for(W=0;8>W;++W)b(Xr,Dt+W*i.B,bt,zt+32*W,8),b(Tr,Yr+W*i.B,mr,zr+32*W,8)}}function yr(i,m,W,le,Ne,Ge,Qe,ut,bt){var zt=[0],mr=[0],zr=0,Dt=bt!=null?bt.kd:0,gr=bt!=null?bt:new _r;if(i==null||12>W)return 7;gr.data=i,gr.w=m,gr.ha=W,m=[m],W=[W],gr.gb=[gr.gb];e:{var Ir=m,Xr=W,Tr=gr.gb;if(s(i!=null),s(Xr!=null),s(Tr!=null),Tr[0]=0,12<=Xr[0]&&!p(i,Ir[0],"RIFF")){if(p(i,Ir[0]+8,"WEBP")){Tr=3;break e}var Yr=Lr(i,Ir[0]+4);if(12>Yr||4294967286Xr[0]-8){Tr=7;break e}Tr[0]=Yr,Ir[0]+=12,Xr[0]-=12}Tr=0}if(Tr!=0)return Tr;for(Yr=0Tr[0])Tr=7;else{if(!p(tn,Xr[0],"VP8X")){if(Lr(tn,Xr[0]+4)!=10){Tr=3;break e}if(18>Tr[0]){Tr=7;break e}var ia=Lr(tn,Xr[0]+8),Za=1+wn(tn,Xr[0]+12);if(2147483648<=Za*(tn=1+wn(tn,Xr[0]+15))){Tr=3;break e}ya!=null&&(ya[0]=ia),vn!=null&&(vn[0]=Za),fn!=null&&(fn[0]=tn),Xr[0]+=18,Tr[0]-=18,pa[0]=1}Tr=0}}if(zr=zr[0],Ir=Ir[0],Tr!=0)return Tr;if(Xr=!!(2&Ir),!Yr&&zr)return 3;if(Ge!=null&&(Ge[0]=!!(16&Ir)),Qe!=null&&(Qe[0]=Xr),ut!=null&&(ut[0]=0),Qe=zt[0],Ir=mr[0],zr&&Xr&&bt==null){Tr=0;break}if(4>W){Tr=7;break}if(Yr&&zr||!Yr&&!zr&&!p(i,m[0],"ALPH")){W=[W],gr.na=[gr.na],gr.P=[gr.P],gr.Sa=[gr.Sa];e:{ia=i,Tr=m,Yr=W;var pa=gr.gb;vn=gr.na,fn=gr.P,ya=gr.Sa,Za=22,s(ia!=null),s(Yr!=null),tn=Tr[0];var Ya=Yr[0];for(s(vn!=null),s(ya!=null),vn[0]=null,fn[0]=null,ya[0]=0;;){if(Tr[0]=tn,Yr[0]=Ya,8>Ya){Tr=7;break e}var Vo=Lr(ia,tn+4);if(4294967286pa){Tr=3;break e}if(!p(ia,tn,"VP8 ")||!p(ia,tn,"VP8L")){Tr=0;break e}if(Ya[0]Yr[0])Tr=7;else{if(tn||Za){if(pa=Lr(pa,ia+4),12<=vn&&pa>vn-12){Tr=3;break e}if(Dt&&pa>Yr[0]-8){Tr=7;break e}fn[0]=pa,Tr[0]+=8,Yr[0]-=8,ya[0]=Za}else ya[0]=5<=Yr[0]&&pa[ia+0]==47&&!(pa[ia+4]>>5),fn[0]=Yr[0];Tr=0}if(W=W[0],gr.Ja=gr.Ja[0],gr.xa=gr.xa[0],m=m[0],Tr!=0)break;if(4294967286W){Tr=7;break}ut=Qe,Dt=Ir,Xr=Ge,i==null||5>W?i=0:5<=W&&i[m+0]==47&&!(i[m+4]>>5)?(Yr=[0],pa=[0],vn=[0],dr(fn=new vt,i,m,W),Aa(fn,Yr,pa,vn)?(ut!=null&&(ut[0]=Yr[0]),Dt!=null&&(Dt[0]=pa[0]),Xr!=null&&(Xr[0]=vn[0]),i=1):i=0):i=0}else{if(10>W){Tr=7;break}ut=Ir,i==null||10>W||!$o(i,m+3,W-3)?i=0:(Dt=i[m+0]|i[m+1]<<8|i[m+2]<<16,Xr=16383&(i[m+7]<<8|i[m+6]),i=16383&(i[m+9]<<8|i[m+8]),1&Dt||3<(Dt>>1&7)||!(Dt>>4&1)||Dt>>5>=gr.Ja||!Xr||!i?i=0:(Qe&&(Qe[0]=Xr),ut&&(ut[0]=i),i=1))}if(!i||(Qe=Qe[0],Ir=Ir[0],zr&&(zt[0]!=Qe||mr[0]!=Ir)))return 3;bt!=null&&(bt[0]=gr,bt.offset=m-bt.w,s(4294967286>m-bt.w),s(bt.offset==bt.ha-W));break}return Tr==0||Tr==7&&zr&&bt==null?(Ge!=null&&(Ge[0]|=gr.na!=null&&0W||(Ge&=-2,Qe&=-2),0>Ge||0>Qe||0>=ut||0>=bt||Ge+ut>le||Qe+bt>Ne))return 0;if(m.v=Ge,m.j=Qe,m.va=Ge+ut,m.o=Qe+bt,m.U=ut,m.T=bt,m.da=i!=null&&0i.S){var m=i.f.RGBA;m.fb+=(i.height-1)*m.A,m.A=-m.A}else m=i.f.kb,i=i.height,m.O+=(i-1)*m.fa,m.fa=-m.fa,m.N+=(i-1>>1)*m.Ab,m.Ab=-m.Ab,m.W+=(i-1>>1)*m.Db,m.Db=-m.Db,m.F!=null&&(m.J+=(i-1)*m.lb,m.lb=-m.lb);return 0}function dn(i,m,W,le){if(le==null||0>=i||0>=m)return 2;if(W!=null){if(W.Da){var Ne=W.cd,Ge=W.bd,Qe=-2&W.v,ut=-2&W.j;if(0>Qe||0>ut||0>=Ne||0>=Ge||Qe+Ne>i||ut+Ge>m)return 2;i=Ne,m=Ge}if(W.da){if(!Wn(i,m,Ne=[W.ib],Ge=[W.hb]))return 2;i=Ne[0],m=Ge[0]}}le.width=i,le.height=m;e:{var bt=le.width,zt=le.height;if(i=le.S,0>=bt||0>=zt||!(i>=Js&&13>i))i=2;else{if(0>=le.Rd&&le.sd==null){Qe=Ge=Ne=m=0;var mr=(ut=bt*X0[i])*zt;if(11>i||(Ge=(zt+1)/2*(m=(bt+1)/2),i==12&&(Qe=(Ne=bt)*zt)),(zt=d(mr+2*Ge+Qe))==null){i=1;break e}le.sd=zt,11>i?((bt=le.f.RGBA).eb=zt,bt.fb=0,bt.A=ut,bt.size=mr):((bt=le.f.kb).y=zt,bt.O=0,bt.fa=ut,bt.Fd=mr,bt.f=zt,bt.N=0+mr,bt.Ab=m,bt.Cd=Ge,bt.ea=zt,bt.W=0+mr+Ge,bt.Db=m,bt.Ed=Ge,i==12&&(bt.F=zt,bt.J=0+mr+2*Ge),bt.Tc=Qe,bt.lb=Ne)}if(m=1,Ne=le.S,Ge=le.width,Qe=le.height,Ne>=Js&&13>Ne)if(11>Ne)i=le.f.RGBA,m&=(ut=Math.abs(i.A))*(Qe-1)+Ge<=i.size,m&=ut>=Ge*X0[Ne],m&=i.eb!=null;else{i=le.f.kb,ut=(Ge+1)/2,mr=(Qe+1)/2,bt=Math.abs(i.fa),zt=Math.abs(i.Ab);var zr=Math.abs(i.Db),Dt=Math.abs(i.lb),gr=Dt*(Qe-1)+Ge;m&=bt*(Qe-1)+Ge<=i.Fd,m&=zt*(mr-1)+ut<=i.Cd,m=(m&=zr*(mr-1)+ut<=i.Ed)&bt>=Ge&zt>=ut&zr>=ut,m&=i.y!=null,m&=i.f!=null,m&=i.ea!=null,Ne==12&&(m&=Dt>=Ge,m&=gr<=i.Tc,m&=i.F!=null)}else m=0;i=m?0:2}}return i!=0||W!=null&&W.fd&&(i=kr(le)),i}var gn=64,Nn=[0,1,3,7,15,31,63,127,255,511,1023,2047,4095,8191,16383,32767,65535,131071,262143,524287,1048575,2097151,4194303,8388607,16777215],Tn=24,ca=32,va=8,Pa=[0,0,1,1,2,2,2,2,3,3,3,3,3,3,3,3,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7,7];En("Predictor0","PredictorAdd0"),Ot.Predictor0=function(){return 4278190080},Ot.Predictor1=function(i){return i},Ot.Predictor2=function(i,m,W){return m[W+0]},Ot.Predictor3=function(i,m,W){return m[W+1]},Ot.Predictor4=function(i,m,W){return m[W-1]},Ot.Predictor5=function(i,m,W){return _n(_n(i,m[W+1]),m[W+0])},Ot.Predictor6=function(i,m,W){return _n(i,m[W-1])},Ot.Predictor7=function(i,m,W){return _n(i,m[W+0])},Ot.Predictor8=function(i,m,W){return _n(m[W-1],m[W+0])},Ot.Predictor9=function(i,m,W){return _n(m[W+0],m[W+1])},Ot.Predictor10=function(i,m,W){return _n(_n(i,m[W-1]),_n(m[W+0],m[W+1]))},Ot.Predictor11=function(i,m,W){var le=m[W+0];return 0>=Qn(le>>24&255,i>>24&255,(m=m[W-1])>>24&255)+Qn(le>>16&255,i>>16&255,m>>16&255)+Qn(le>>8&255,i>>8&255,m>>8&255)+Qn(255&le,255&i,255&m)?le:i},Ot.Predictor12=function(i,m,W){var le=m[W+0];return(xa((i>>24&255)+(le>>24&255)-((m=m[W-1])>>24&255))<<24|xa((i>>16&255)+(le>>16&255)-(m>>16&255))<<16|xa((i>>8&255)+(le>>8&255)-(m>>8&255))<<8|xa((255&i)+(255&le)-(255&m)))>>>0},Ot.Predictor13=function(i,m,W){var le=m[W-1];return(qn((i=_n(i,m[W+0]))>>24&255,le>>24&255)<<24|qn(i>>16&255,le>>16&255)<<16|qn(i>>8&255,le>>8&255)<<8|qn(255&i,255&le))>>>0};var $a=Ot.PredictorAdd0;Ot.PredictorAdd1=ka,En("Predictor2","PredictorAdd2"),En("Predictor3","PredictorAdd3"),En("Predictor4","PredictorAdd4"),En("Predictor5","PredictorAdd5"),En("Predictor6","PredictorAdd6"),En("Predictor7","PredictorAdd7"),En("Predictor8","PredictorAdd8"),En("Predictor9","PredictorAdd9"),En("Predictor10","PredictorAdd10"),En("Predictor11","PredictorAdd11"),En("Predictor12","PredictorAdd12"),En("Predictor13","PredictorAdd13");var Fa=Ot.PredictorAdd2;Un("ColorIndexInverseTransform","MapARGB","32b",function(i){return i>>8&255},function(i){return i}),Un("VP8LColorIndexInverseTransformAlpha","MapAlpha","8b",function(i){return i},function(i){return i>>8&255});var Sa,fo=Ot.ColorIndexInverseTransform,Ua=Ot.MapARGB,Po=Ot.VP8LColorIndexInverseTransformAlpha,jo=Ot.MapAlpha,vo=Ot.VP8LPredictorsAdd=[];vo.length=16,(Ot.VP8LPredictors=[]).length=16,(Ot.VP8LPredictorsAdd_C=[]).length=16,(Ot.VP8LPredictors_C=[]).length=16;var 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nr,Or,Ar,Rr,Hr,cn,wn,Lr,Mt,ba=je.data,da=je.width,Wn=je.height,Jr=4*da,Vr=0;Vr>3)*Jr+(wn=4*(7&Mt)),Vr+Lr>=Wn&&(cn-=Jr*(Vr+1+Lr-Wn)),nr+wn>=Jr&&(cn-=nr+wn-Jr+4),Or=ba[cn++],Ar=ba[cn++],Rr=ba[cn++],ur[Mt]=(we[Or]+we[Ar+256|0]+we[Rr+512|0]>>16)-128,Cr[Mt]=(we[Or+768|0]+we[Ar+1024|0]+we[Rr+1280|0]>>16)-128,Qt[Mt]=(we[Or+1280|0]+we[Ar+1536|0]+we[Rr+1792|0]>>16)-128;Nt=Yt(ur,Ae,Nt,s,b),st=Yt(Cr,it,st,p,j),qt=Yt(Qt,it,qt,p,j),nr+=32}Vr+=8}if(ct>=0){var En=[];En[1]=ct+1,En[0]=(1<Me;Me++)if(Ot[Jt+Me]!=Fe.charCodeAt(Me))return!0;return!1}function b(Ot,Jt,Fe,Me,lt){for(var Et=0;EtEt+1?[]:new Jt),!(fr.length>>0;i&W;)W>>>=1;return W?(i&W-1)+W:i}function Fe(i,m,W,le,Ne){s(!(le%W));do i[m+(le-=W)]=Ne;while(0=Ne),512>=Ne)var Ge=d(512);else if((Ge=d(Ne))==null)return 0;return function(Qe,ut,bt,zt,mr,zr){var Dt,gr,Ir=ut,Xr=1<Dt;++Dt){if(Tr[Dt]>1<(Za-=Tr[Dt]))return 0;for(;0=Dt;++Dt,mr<<=1){if(ia+=Za<<=1,0>(Za-=Tr[Dt]))return 0;for(;0vn&&!(0>=(tn-=Tr[vn]));)++vn,tn<<=1;Xr+=pa=1<<(tn=vn-bt),Qe[ut+(vn=ya&fn)].g=tn+bt,Qe[ut+vn].value=Ir-ut-vn}zt.g=Dt-bt,zt.value=zr[gr++],Fe(Qe,Ir+(ya>>bt),mr,pa,zt),ya=Jt(ya,Dt)}}return ia!=2*Yr[15]-1?0:Xr}(i,m,W,le,Ne,Ge)}function lt(){this.value=this.g=0}function Et(){this.value=this.g=0}function fr(){this.G=ne(5,lt),this.H=d(5),this.jc=this.Qb=this.qb=this.nd=0,this.pd=ne(gn,Et)}function vr(i,m,W,le){s(i!=null),s(m!=null),s(2147483648>le),i.Ca=254,i.I=0,i.b=-8,i.Ka=0,i.oa=m,i.pa=W,i.Jd=m,i.Yc=W+le,i.Zc=4<=le?W+le-4+1:W,Or(i)}function Zt(i,m){for(var W=0;0le),i.Sb=le,i.Ra=0,i.u=0,i.h=0,4>>=8,i.Ra+=i.oa[i.pa+i.bb]<>>0,++i.bb,i.u-=8;st(i)&&(i.h=1,i.u=0)}function wr(i,m){if(s(0<=m),!i.h&&m<=Tn){var W=Nt(i)&Nn[m];return i.u+=m,Yt(i),W}return i.h=1,i.u=0}function je(){this.b=this.Ca=this.I=0,this.oa=[],this.pa=0,this.Jd=[],this.Yc=0,this.Zc=[],this.Ka=0}function vt(){this.Ra=0,this.oa=[],this.h=this.u=this.bb=this.Sb=this.pa=0}function Nt(i){return i.Ra>>>(i.u&ca-1)>>>0}function 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ka(i,m,W,le,Ne,Ge,Qe){for(le=Ge[Qe-1],W=0;W>8&255,bt=16711935&(bt=(bt=16711935&Qe)+((ut<<16)+ut));le[Ne+Ge]=(4278255360&Qe)+bt>>>0}}function Hn(i,m){m.jd=255&i,m.hd=i>>8&255,m.ud=i>>16&255}function ea(i,m,W,le,Ne,Ge){var Qe;for(Qe=0;Qe>>8,zt=ut,mr=255&(mr=(mr=ut>>>16)+((i.jd<<24>>24)*(bt<<24>>24)>>>5));zt=255&(zt=(zt+=(i.hd<<24>>24)*(bt<<24>>24)>>>5)+((i.ud<<24>>24)*(mr<<24>>24)>>>5)),Ne[Ge+Qe]=(4278255360&ut)+(mr<<16)+zt}}function Un(i,m,W,le,Ne){Ot[m]=function(Ge,Qe,ut,bt,zt,mr,zr,Dt,gr){for(bt=zr;bt>Ge.b,gr=Ge.Ea,Ir=Ge.K[0],Xr=Ge.w;if(8>Dt)for(Ge=(1<>=Dt}else Ot["VP8LMapColor"+W](bt,zt,Ir,Xr,mr,zr,Qe,ut,gr)}}function Ln(i,m,W,le,Ne){for(W=m+W;m>16&255,le[Ne++]=Ge>>8&255,le[Ne++]=255&Ge}}function Xn(i,m,W,le,Ne){for(W=m+W;m>16&255,le[Ne++]=Ge>>8&255,le[Ne++]=255&Ge,le[Ne++]=Ge>>24&255}}function rn(i,m,W,le,Ne){for(W=m+W;m>16&240|Qe>>12&15,Qe=240&Qe|Qe>>28&15;le[Ne++]=Ge,le[Ne++]=Qe}}function mn(i,m,W,le,Ne){for(W=m+W;m>16&248|Qe>>13&7,Qe=Qe>>5&224|Qe>>3&31;le[Ne++]=Ge,le[Ne++]=Qe}}function sa(i,m,W,le,Ne){for(W=m+W;m>8&255,le[Ne++]=Ge>>16&255}}function Sn(i,m,W,le,Ne,Ge){if(Ge==0)for(W=m+W;m>24|Ge[1]>>8&65280|Ge[2]<<8&16711680|Ge[3]<<24)>>>0),Ne+=32;else b(le,Ne,i,m,W)}function ha(i,m){Ot[m][0]=Ot[i+"0"],Ot[m][1]=Ot[i+"1"],Ot[m][2]=Ot[i+"2"],Ot[m][3]=Ot[i+"3"],Ot[m][4]=Ot[i+"4"],Ot[m][5]=Ot[i+"5"],Ot[m][6]=Ot[i+"6"],Ot[m][7]=Ot[i+"7"],Ot[m][8]=Ot[i+"8"],Ot[m][9]=Ot[i+"9"],Ot[m][10]=Ot[i+"10"],Ot[m][11]=Ot[i+"11"],Ot[m][12]=Ot[i+"12"],Ot[m][13]=Ot[i+"13"],Ot[m][14]=Ot[i+"0"],Ot[m][15]=Ot[i+"0"]}function Vn(i){return i==p0||i==g0||i==r0||i==v0}function Ha(){this.eb=[],this.size=this.A=this.fb=0}function qa(){this.y=[],this.f=[],this.ea=[],this.F=[],this.Tc=this.Ed=this.Cd=this.Fd=this.lb=this.Db=this.Ab=this.fa=this.J=this.W=this.N=this.O=0}function yn(){this.Rd=this.height=this.width=this.S=0,this.f={},this.f.RGBA=new Ha,this.f.kb=new qa,this.sd=null}function Pn(){this.width=[0],this.height=[0],this.Pd=[0],this.Qd=[0],this.format=[0]}function fa(){this.Id=this.fd=this.Md=this.hb=this.ib=this.da=this.bd=this.cd=this.j=this.v=this.Da=this.Sd=this.ob=0}function Ja(i){return alert("todo:WebPSamplerProcessPlane"),i.T}function Ga(i,m){var W=i.T,le=m.ba.f.RGBA,Ne=le.eb,Ge=le.fb+i.ka*le.A,Qe=_i[m.ba.S],ut=i.y,bt=i.O,zt=i.f,mr=i.N,zr=i.ea,Dt=i.W,gr=m.cc,Ir=m.dc,Xr=m.Mc,Tr=m.Nc,Yr=i.ka,tn=i.ka+i.T,vn=i.U,fn=vn+1>>1;for(Yr==0?Qe(ut,bt,null,null,zt,mr,zr,Dt,zt,mr,zr,Dt,Ne,Ge,null,null,vn):(Qe(m.ec,m.fc,ut,bt,gr,Ir,Xr,Tr,zt,mr,zr,Dt,Ne,Ge-le.A,Ne,Ge,vn),++W);Yr+2W,Ne=W==Qs||W==e0||W==t0||W==m0||W==12||Vn(W);if(m.memory=null,m.Ib=null,m.Jb=null,m.Nd=null,!Zr(m.Oa,i,Ne?11:12))return 0;if(Ne&&Vn(W)&&Ur(),i.da)alert("todo:use_scaling");else{if(le){if(m.Ib=Ja,i.Kb){if(W=i.U+1>>1,m.memory=d(i.U+2*W),m.memory==null)return 0;m.ec=m.memory,m.fc=0,m.cc=m.ec,m.dc=m.fc+i.U,m.Mc=m.cc,m.Nc=m.dc+W,m.Ib=Ga,Ur()}}else alert("todo:EmitYUV");Ne&&(m.Jb=io,le&&ar())}if(le&&!K0){for(i=0;256>i;++i)Al[i]=89858*(i-128)+a0>>n0,jl[i]=-22014*(i-128)+a0,Pl[i]=-45773*(i-128),$l[i]=113618*(i-128)+a0>>n0;for(i=Zs;i>n0,Nl[i-Zs]=be(m,255),Ml[i-Zs]=be(m+8>>4,15);K0=1}return 1}function la(i){var m=i.ma,W=i.U,le=i.T;return s(!(1&i.ka)),0>=W||0>=le?0:(W=m.Ib(i,m),m.Jb!=null&&m.Jb(i,m,W),m.Dc+=W,1)}function Io(i){i.ma.memory=null}function Aa(i,m,W,le){return wr(i,8)!=47?0:(m[0]=wr(i,14)+1,W[0]=wr(i,14)+1,le[0]=wr(i,1),wr(i,3)!=0?0:!i.h)}function ja(i,m){if(4>i)return i+1;var W=i-2>>1;return(2+(1&i)<>4)*i+(8-(15&W)))?W:1;var W}function Na(i,m,W){var le=Nt(W),Ne=i[m+=255&le].g-8;return 0>>0,s(8>=W.g),i.g}function ma(i,m,W){var le=i.xc;return s((m=le==0?0:i.vc[i.md*(W>>le)+(m>>le)])>pa.b)*ia;Xrvn&&(ga=vn),(0,vo[Ya[Vo++]>>8&15])(Dt,gr+ +Va,Yr,tn+Va-vn,ga-Va,Yr,tn+Va),Va=ga}gr+=vn,tn+=vn,++Xr&ya||(pa+=ia)}zr!=zt.nc&&b(bt,ut-Ir,bt,ut+(zr-mr-1)*Ir,Ir);break;case 1:for(Ir=Dt,Tr=gr,vn=(Dt=zt.Ea)-(tn=Dt&~(Yr=(gr=1<>zt.b)*Xr;mr=Ne),0Ge.o&&(le=Ge.o),W=le?W=0:(Ne[0]+=4*Ge.v,Ge.ka=W-Ge.j,Ge.U=Ge.va-Ge.v,Ge.T=le-W,W=1),W){if(ut=ut[0],11>(W=i.ca).S){var mr=W.f.RGBA,zr=(le=W.S,Ne=Ge.U,Ge=Ge.T,zt=mr.eb,mr.A),Dt=Ge;for(mr=mr.fb+i.Ma*mr.A;0le){var Ne=i.l.width,Ge=W.ca,Qe=W.tb+Ne*le,ut=i.V,bt=i.Ba+i.c*le,zt=i.gc;s(i.ab==1),s(zt[0].hc==3),Po(zt[0],le,m,ut,bt,Ge,Qe),eo(W,le,m,Ge,Qe,Ne)}i.C=i.Ma=m}function Ao(i,m,W,le,Ne,Ge,Qe){var ut=i.$/le,bt=i.$%le,zt=i.m,mr=i.s,zr=W+i.$,Dt=zr;Ne=W+le*Ne;var gr=W+le*Ge,Ir=280+mr.ua,Xr=i.Pb?ut:16777216,Tr=0=Xr){var ya=zr-W;s((Xr=i).Pb),Xr.wd=Xr.m,Xr.xd=ya,0Za.g?(qt(fn,fn.u+Za.g),ya[ia]=Za.value,fn=0):(qt(fn,fn.u+Za.g-256),s(256<=Za.value),fn=Za.value),fn==0&&(vn=!0)}else fn=Na(tn.G[0],tn.H[0],zt);if(zt.h)break;if(vn||256>fn){if(!vn)if(tn.nd)m[zr]=(tn.qb|fn<<8)>>>0;else{if(nr(zt),vn=Na(tn.G[1],tn.H[1],zt),nr(zt),ya=Na(tn.G[2],tn.H[2],zt),ia=Na(tn.G[3],tn.H[3],zt),zt.h)break;m[zr]=(ia<<24|vn<<16|fn<<8|ya)>>>0}if(vn=!1,++zr,++bt>=le&&(bt=0,++ut,Qe!=null&&ut<=Ge&&!(ut%16)&&Qe(i,ut),Tr!=null))for(;Dt>>Tr.Mb]=fn}else if(280>fn){if(fn=ja(fn-256,zt),ya=Na(tn.G[4],tn.H[4],zt),nr(zt),ya=Ta(le,ya=ja(ya,zt)),zt.h)break;if(zr-W=le;)bt-=le,++ut,Qe!=null&&ut<=Ge&&!(ut%16)&&Qe(i,ut);if(s(zr<=Ne),bt&Yr&&(tn=ma(mr,bt,ut)),Tr!=null)for(;Dt>>Tr.Mb]=fn}else{if(!(fn>>Tr.Mb]=fn;fn=zr,s(!(vn>>>(ya=Tr).Xa)),m[fn]=ya.X[vn],vn=!0}vn||s(zt.h==st(zt))}if(i.Pb&&zt.h&&zrGe?Ge:ut),i.a=0,i.$=zr-W}return 1}return i.a=3,0}function Co(i){s(i!=null),i.vc=null,i.yc=null,i.Ya=null;var m=i.Wa;m!=null&&(m.X=null),i.vb=null,s(i!=null)}function Ra(){var i=new re;return i==null?null:(i.a=0,i.xb=H0,ha("Predictor","VP8LPredictors"),ha("Predictor","VP8LPredictors_C"),ha("PredictorAdd","VP8LPredictorsAdd"),ha("PredictorAdd","VP8LPredictorsAdd_C"),Sa=ra,ri=ea,Oo=Ln,Wo=Xn,Yo=rn,hi=mn,Si=sa,Ot.VP8LMapColor32b=Ua,Ot.VP8LMapColor8b=jo,i)}function Uo(i,m,W,le,Ne){var Ge=1,Qe=[i],ut=[m],bt=le.m,zt=le.s,mr=null,zr=0;e:for(;;){if(W)for(;Ge&&wr(bt,1);){var Dt=Qe,gr=ut,Ir=le,Xr=1,Tr=Ir.m,Yr=Ir.gc[Ir.ab],tn=wr(Tr,2);if(Ir.Oc&1<=Ir.ab),tn){case 0:case 1:Yr.b=wr(Tr,3)+2,Xr=Uo(Jr(Yr.Ea,Yr.b),Jr(Yr.nc,Yr.b),0,Ir,Yr.K),Yr.K=Yr.K[0];break;case 3:var vn,fn=wr(Tr,8)+1,ya=16>pa.b),Vo=d(Ya);if(Vo==null)vn=0;else{var Va=pa.K[0],ga=pa.w;for(Vo[0]=pa.K[0][0],ia=1;ia<1*Za;++ia)Vo[ia]=Vr(Va[ga+ia],Vo[ia-1]);for(;ia<4*Ya;++ia)Vo[ia]=0;pa.K[0]=null,pa.K[0]=Vo,vn=1}}Xr=vn;break;case 2:break;default:s(0)}Ge=Xr}}if(Qe=Qe[0],ut=ut[0],Ge&&wr(bt,1)&&!(Ge=1<=(zr=wr(bt,4))&&11>=zr)){le.a=3;break e}var Fn;if(Fn=Ge)t:{var Fo,Da,to,Eo=le,qo=Qe,fi=ut,Bo=zr,oi=W,mi=Eo.m,Go=Eo.s,no=[null],mo=1,Lo=0,po=ml[Bo];r:for(;;){if(oi&&wr(mi,1)){var Jo=wr(mi,3)+2,os=Jr(qo,Jo),ko=Jr(fi,Jo),Ci=os*ko;if(!Uo(os,ko,0,Eo,no))break r;for(no=no[0],Go.xc=Jo,Fo=0;Fo>8&65535;no[Fo]=yo,yo>=mo&&(mo=yo+1)}}if(mi.h)break r;for(Da=0;5>Da;++Da){var Ko=F0[Da];!Da&&0=pi),Ti=Mi;var Oi=d(Lo);if(Ti==null||Oi==null||Ni==null){Eo.a=1;break r}var Bi=Ni;for(Fo=to=0;FoDa;++Da){Ko=F0[Da],Li[Da]=Bi,is[Da]=to,!Da&&0u0)break n}else C0=u0;for(Gs=0;Gsks)el[Gs++]=ks,ks!=0&&(tl=ks);else{var Wl=ks==16,al=ks-16,Ul=ul[al],ol=wr(js,cl[al])+Ul;if(Gs+ol>u0)break n;for(var Zl=Wl?tl:0;0=Da){var Ks,E0=Oi[0];for(Ks=1;KsE0&&(E0=Oi[Ks]);Qo+=E0}}if(So.nd=xs,So.Qb=0,xs&&(So.qb=(Li[3][is[3]+0].value<<24|Li[1][is[1]+0].value<<16|Li[2][is[2]+0].value)>>>0,Rs==0&&256>Li[0][is[0]+0].value&&(So.Qb=1,So.qb+=Li[0][is[0]+0].value<<8)),So.jc=!So.Qb&&6>Qo,So.jc){var d0,ws=So;for(d0=0;d0>=Ba(h0,8,Ms),Ns>>=Ba(ws.G[1][ws.H[1]+Ns],16,Ms),Ns>>=Ba(ws.G[2][ws.H[2]+Ns],0,Ms),Ba(ws.G[3][ws.H[3]+Ns],24,Ms))}}}Go.vc=no,Go.Wb=mo,Go.Ya=Ti,Go.yc=Ni,Fn=1;break t}Fn=0}if(!(Ge=Fn)){le.a=3;break e}if(0le+1?[]:0),!(Ne.lengthNe)return za(i,7,"Truncated header.");var Ge=W[le+0]|W[le+1]<<8|W[le+2]<<16,Qe=i.Od;if(Qe.Rb=!(1&Ge),Qe.td=Ge>>1&7,Qe.yd=Ge>>4&1,Qe.ub=Ge>>5,3Ne)return za(i,7,"cannot parse picture header");if(!$o(W,le,Ne))return za(i,3,"Bad code word");ut.c=16383&(W[le+4]<<8|W[le+3]),ut.Td=W[le+4]>>6,ut.i=16383&(W[le+6]<<8|W[le+5]),ut.Ud=W[le+6]>>6,le+=7,Ne-=7,i.za=ut.c+15>>4,i.Ub=ut.i+15>>4,m.width=ut.c,m.height=ut.i,m.Da=0,m.j=0,m.v=0,m.va=m.width,m.o=m.height,m.da=0,m.ib=m.width,m.hb=m.height,m.U=m.width,m.T=m.height,j((Ge=i.Pa).jb,0,255,Ge.jb.length),s((Ge=i.Qa)!=null),Ge.Cb=0,Ge.Bb=0,Ge.Fb=1,j(Ge.Zb,0,0,Ge.Zb.length),j(Ge.Lb,0,0,Ge.Lb)}if(Qe.ub>Ne)return za(i,7,"bad partition length");vr(Ge=i.m,W,le,Qe.ub),le+=Qe.ub,Ne-=Qe.ub,Qe.Rb&&(ut.Ld=Ar(Ge),ut.Kd=Ar(Ge)),ut=i.Qa;var bt,zt=i.Pa;if(s(Ge!=null),s(ut!=null),ut.Cb=Ar(Ge),ut.Cb){if(ut.Bb=Ar(Ge),Ar(Ge)){for(ut.Fb=Ar(Ge),bt=0;4>bt;++bt)ut.Zb[bt]=Ar(Ge)?Tt(Ge,7):0;for(bt=0;4>bt;++bt)ut.Lb[bt]=Ar(Ge)?Tt(Ge,6):0}if(ut.Bb)for(bt=0;3>bt;++bt)zt.jb[bt]=Ar(Ge)?Zt(Ge,8):255}else ut.Bb=0;if(Ge.Ka)return za(i,3,"cannot parse segment header");if((ut=i.ed).zd=Ar(Ge),ut.Tb=Zt(Ge,6),ut.wb=Zt(Ge,3),ut.Pc=Ar(Ge),ut.Pc&&Ar(Ge)){for(zt=0;4>zt;++zt)Ar(Ge)&&(ut.vd[zt]=Tt(Ge,6));for(zt=0;4>zt;++zt)Ar(Ge)&&(ut.od[zt]=Tt(Ge,6))}if(i.L=ut.Tb==0?0:ut.zd?1:2,Ge.Ka)return za(i,3,"cannot parse filter header");var mr=Ne;if(Ne=bt=le,le=bt+mr,ut=mr,i.Xb=(1<ut&&(zr=ut),vr(i.Jc[+mr],W,bt,zr),bt+=zr,ut-=zr,Ne+=3}vr(i.Jc[+zt],W,bt,ut),W=btzr;++zr){if(mr.Cb){var Dt=mr.Zb[zr];mr.Fb||(Dt+=W)}else{if(0>16,8>gr.Eb[1]&&(gr.Eb[1]=8),gr.Qc[0]=b0[be(Dt+zt,117)],gr.Qc[1]=y0[be(Dt+bt,127)],gr.lc=Dt+bt}if(!Qe.Rb)return za(i,4,"Not a key frame.");for(Ar(Ge),Qe=i.Pa,W=0;4>W;++W){for(Ne=0;8>Ne;++Ne)for(le=0;3>le;++le)for(ut=0;11>ut;++ut)zt=Rr(Ge,xl[W][Ne][le][ut])?Zt(Ge,8):bl[W][Ne][le][ut],Qe.Wc[W][Ne].Yb[le][ut]=zt;for(Ne=0;17>Ne;++Ne)Qe.Xc[W][Ne]=Qe.Wc[W][wl[Ne]]}return i.kc=Ar(Ge),i.kc&&(i.Bd=Zt(Ge,8)),i.cb=1}function co(i,m,W,le,Ne,Ge,Qe){var ut=m[Ne].Yb[W];for(W=0;16>Ne;++Ne){if(!Rr(i,ut[W+0]))return Ne;for(;!Rr(i,ut[W+1]);)if(ut=m[++Ne].Yb[0],W=0,Ne==16)return 16;var bt=m[Ne+1].Yb;if(Rr(i,ut[W+2])){var zt=i,mr=0;if(Rr(zt,(Dt=ut)[(zr=W)+3]))if(Rr(zt,Dt[zr+6])){for(ut=0,zr=2*(mr=Rr(zt,Dt[zr+8]))+(Dt=Rr(zt,Dt[zr+9+mr])),mr=0,Dt=gl[zr];Dt[ut];++ut)mr+=mr+Rr(zt,Dt[ut]);mr+=3+(8<(zt=i).b&&Or(zt);var zr,Dt=zt.b,gr=(zr=zt.Ca>>1)-(zt.I>>Dt)>>31;--zt.b,zt.Ca+=gr,zt.Ca|=1,zt.I-=(zr+1&gr)<>3),i[m+W+32*le]=-256&Ne?0>Ne?0:255:Ne}function Ri(i,m,W,le,Ne,Ge){wo(i,m,0,W,le+Ne),wo(i,m,1,W,le+Ge),wo(i,m,2,W,le-Ge),wo(i,m,3,W,le-Ne)}function Xa(i){return(20091*i>>16)+i}function Xi(i,m,W,le){var Ne,Ge=0,Qe=d(16);for(Ne=0;4>Ne;++Ne){var ut=i[m+0]+i[m+8],bt=i[m+0]-i[m+8],zt=(35468*i[m+4]>>16)-Xa(i[m+12]),mr=Xa(i[m+4])+(35468*i[m+12]>>16);Qe[Ge+0]=ut+mr,Qe[Ge+1]=bt+zt,Qe[Ge+2]=bt-zt,Qe[Ge+3]=ut-mr,Ge+=4,m++}for(Ne=Ge=0;4>Ne;++Ne)ut=(i=Qe[Ge+0]+4)+Qe[Ge+8],bt=i-Qe[Ge+8],zt=(35468*Qe[Ge+4]>>16)-Xa(Qe[Ge+12]),wo(W,le,0,0,ut+(mr=Xa(Qe[Ge+4])+(35468*Qe[Ge+12]>>16))),wo(W,le,1,0,bt+zt),wo(W,le,2,0,bt-zt),wo(W,le,3,0,ut-mr),Ge++,le+=32}function Ei(i,m,W,le){var Ne=i[m+0]+4,Ge=35468*i[m+4]>>16,Qe=Xa(i[m+4]),ut=35468*i[m+1]>>16;Ri(W,le,0,Ne+Qe,i=Xa(i[m+1]),ut),Ri(W,le,1,Ne+Ge,i,ut),Ri(W,le,2,Ne-Ge,i,ut),Ri(W,le,3,Ne-Qe,i,ut)}function Fi(i,m,W,le,Ne){Xi(i,m,W,le),Ne&&Xi(i,m+16,W,le+4)}function Ss(i,m,W,le){ni(i,m+0,W,le,1),ni(i,m+32,W,le+128,1)}function ci(i,m,W,le){var Ne;for(i=i[m+0]+4,Ne=0;4>Ne;++Ne)for(m=0;4>m;++m)wo(W,le,m,Ne,i)}function ss(i,m,W,le){i[m+0]&&_a(i,m+0,W,le),i[m+16]&&_a(i,m+16,W,le+4),i[m+32]&&_a(i,m+32,W,le+128),i[m+48]&&_a(i,m+48,W,le+128+4)}function ls(i,m,W,le){var Ne,Ge=d(16);for(Ne=0;4>Ne;++Ne){var Qe=i[m+0+Ne]+i[m+12+Ne],ut=i[m+4+Ne]+i[m+8+Ne],bt=i[m+4+Ne]-i[m+8+Ne],zt=i[m+0+Ne]-i[m+12+Ne];Ge[0+Ne]=Qe+ut,Ge[8+Ne]=Qe-ut,Ge[4+Ne]=zt+bt,Ge[12+Ne]=zt-bt}for(Ne=0;4>Ne;++Ne)Qe=(i=Ge[0+4*Ne]+3)+Ge[3+4*Ne],ut=Ge[1+4*Ne]+Ge[2+4*Ne],bt=Ge[1+4*Ne]-Ge[2+4*Ne],zt=i-Ge[3+4*Ne],W[le+0]=Qe+ut>>3,W[le+16]=zt+bt>>3,W[le+32]=Qe-ut>>3,W[le+48]=zt-bt>>3,le+=64}function ui(i,m,W){var le,Ne=m-32,Ge=ji,Qe=255-i[Ne-1];for(le=0;leW;++W)b(i,m+32*W,i,m-32,16)}function ki(i,m){var W;for(W=16;0le;++le)j(m,W+32*le,i,16)}function di(i,m){var W,le=16;for(W=0;16>W;++W)le+=i[m-1+32*W]+i[m+W-32];bi(le>>5,i,m)}function ms(i,m){var W,le=8;for(W=0;16>W;++W)le+=i[m-1+32*W];bi(le>>4,i,m)}function Xo(i,m){var W,le=8;for(W=0;16>W;++W)le+=i[m+W-32];bi(le>>4,i,m)}function yi(i,m){bi(128,i,m)}function Ia(i,m,W){return i+2*m+W+2>>2}function Os(i,m){var W,le=m-32;for(le=new Uint8Array([Ia(i[le-1],i[le+0],i[le+1]),Ia(i[le+0],i[le+1],i[le+2]),Ia(i[le+1],i[le+2],i[le+3]),Ia(i[le+2],i[le+3],i[le+4])]),W=0;4>W;++W)b(i,m+32*W,le,0,le.length)}function ps(i,m){var W=i[m-1],le=i[m-1+32],Ne=i[m-1+64],Ge=i[m-1+96];Hr(i,m+0,16843009*Ia(i[m-1-32],W,le)),Hr(i,m+32,16843009*Ia(W,le,Ne)),Hr(i,m+64,16843009*Ia(le,Ne,Ge)),Hr(i,m+96,16843009*Ia(Ne,Ge,Ge))}function Bs(i,m){var W,le=4;for(W=0;4>W;++W)le+=i[m+W-32]+i[m-1+32*W];for(le>>=3,W=0;4>W;++W)j(i,m+32*W,le,4)}function Hi(i,m){var W=i[m-1+0],le=i[m-1+32],Ne=i[m-1+64],Ge=i[m-1-32],Qe=i[m+0-32],ut=i[m+1-32],bt=i[m+2-32],zt=i[m+3-32];i[m+0+96]=Ia(le,Ne,i[m-1+96]),i[m+1+96]=i[m+0+64]=Ia(W,le,Ne),i[m+2+96]=i[m+1+64]=i[m+0+32]=Ia(Ge,W,le),i[m+3+96]=i[m+2+64]=i[m+1+32]=i[m+0+0]=Ia(Qe,Ge,W),i[m+3+64]=i[m+2+32]=i[m+1+0]=Ia(ut,Qe,Ge),i[m+3+32]=i[m+2+0]=Ia(bt,ut,Qe),i[m+3+0]=Ia(zt,bt,ut)}function ti(i,m){var W=i[m+1-32],le=i[m+2-32],Ne=i[m+3-32],Ge=i[m+4-32],Qe=i[m+5-32],ut=i[m+6-32],bt=i[m+7-32];i[m+0+0]=Ia(i[m+0-32],W,le),i[m+1+0]=i[m+0+32]=Ia(W,le,Ne),i[m+2+0]=i[m+1+32]=i[m+0+64]=Ia(le,Ne,Ge),i[m+3+0]=i[m+2+32]=i[m+1+64]=i[m+0+96]=Ia(Ne,Ge,Qe),i[m+3+32]=i[m+2+64]=i[m+1+96]=Ia(Ge,Qe,ut),i[m+3+64]=i[m+2+96]=Ia(Qe,ut,bt),i[m+3+96]=Ia(ut,bt,bt)}function xi(i,m){var W=i[m-1+0],le=i[m-1+32],Ne=i[m-1+64],Ge=i[m-1-32],Qe=i[m+0-32],ut=i[m+1-32],bt=i[m+2-32],zt=i[m+3-32];i[m+0+0]=i[m+1+64]=Ge+Qe+1>>1,i[m+1+0]=i[m+2+64]=Qe+ut+1>>1,i[m+2+0]=i[m+3+64]=ut+bt+1>>1,i[m+3+0]=bt+zt+1>>1,i[m+0+96]=Ia(Ne,le,W),i[m+0+64]=Ia(le,W,Ge),i[m+0+32]=i[m+1+96]=Ia(W,Ge,Qe),i[m+1+32]=i[m+2+96]=Ia(Ge,Qe,ut),i[m+2+32]=i[m+3+96]=Ia(Qe,ut,bt),i[m+3+32]=Ia(ut,bt,zt)}function Es(i,m){var W=i[m+0-32],le=i[m+1-32],Ne=i[m+2-32],Ge=i[m+3-32],Qe=i[m+4-32],ut=i[m+5-32],bt=i[m+6-32],zt=i[m+7-32];i[m+0+0]=W+le+1>>1,i[m+1+0]=i[m+0+64]=le+Ne+1>>1,i[m+2+0]=i[m+1+64]=Ne+Ge+1>>1,i[m+3+0]=i[m+2+64]=Ge+Qe+1>>1,i[m+0+32]=Ia(W,le,Ne),i[m+1+32]=i[m+0+96]=Ia(le,Ne,Ge),i[m+2+32]=i[m+1+96]=Ia(Ne,Ge,Qe),i[m+3+32]=i[m+2+96]=Ia(Ge,Qe,ut),i[m+3+64]=Ia(Qe,ut,bt),i[m+3+96]=Ia(ut,bt,zt)}function Ls(i,m){var W=i[m-1+0],le=i[m-1+32],Ne=i[m-1+64],Ge=i[m-1+96];i[m+0+0]=W+le+1>>1,i[m+2+0]=i[m+0+32]=le+Ne+1>>1,i[m+2+32]=i[m+0+64]=Ne+Ge+1>>1,i[m+1+0]=Ia(W,le,Ne),i[m+3+0]=i[m+1+32]=Ia(le,Ne,Ge),i[m+3+32]=i[m+1+64]=Ia(Ne,Ge,Ge),i[m+3+64]=i[m+2+64]=i[m+0+96]=i[m+1+96]=i[m+2+96]=i[m+3+96]=Ge}function qi(i,m){var W=i[m-1+0],le=i[m-1+32],Ne=i[m-1+64],Ge=i[m-1+96],Qe=i[m-1-32],ut=i[m+0-32],bt=i[m+1-32],zt=i[m+2-32];i[m+0+0]=i[m+2+32]=W+Qe+1>>1,i[m+0+32]=i[m+2+64]=le+W+1>>1,i[m+0+64]=i[m+2+96]=Ne+le+1>>1,i[m+0+96]=Ge+Ne+1>>1,i[m+3+0]=Ia(ut,bt,zt),i[m+2+0]=Ia(Qe,ut,bt),i[m+1+0]=i[m+3+32]=Ia(W,Qe,ut),i[m+1+32]=i[m+3+64]=Ia(le,W,Qe),i[m+1+64]=i[m+3+96]=Ia(Ne,le,W),i[m+1+96]=Ia(Ge,Ne,le)}function Ii(i,m){var W;for(W=0;8>W;++W)b(i,m+32*W,i,m-32,8)}function Ai(i,m){var W;for(W=0;8>W;++W)j(i,m,i[m-1],8),m+=32}function Ji(i,m,W){var le;for(le=0;8>le;++le)j(m,W+32*le,i,8)}function Wi(i,m){var W,le=8;for(W=0;8>W;++W)le+=i[m+W-32]+i[m-1+32*W];Ji(le>>4,i,m)}function Is(i,m){var W,le=4;for(W=0;8>W;++W)le+=i[m+W-32];Ji(le>>3,i,m)}function cs(i,m){var W,le=4;for(W=0;8>W;++W)le+=i[m-1+32*W];Ji(le>>3,i,m)}function us(i,m){Ji(128,i,m)}function ft(i,m,W){var le=i[m-W],Ne=i[m+0],Ge=3*(Ne-le)+f0[1020+i[m-2*W]-i[m+W]],Qe=qs[112+(Ge+4>>3)];i[m-W]=ji[255+le+qs[112+(Ge+3>>3)]],i[m+0]=ji[255+Ne-Qe]}function Zo(i,m,W,le){var Ne=i[m+0],Ge=i[m+W];return Ki[255+i[m-2*W]-i[m-W]]>le||Ki[255+Ge-Ne]>le}function Ui(i,m,W,le){return 4*Ki[255+i[m-W]-i[m+0]]+Ki[255+i[m-2*W]-i[m+W]]<=le}function Zi(i,m,W,le,Ne){var Ge=i[m-3*W],Qe=i[m-2*W],ut=i[m-W],bt=i[m+0],zt=i[m+W],mr=i[m+2*W],zr=i[m+3*W];return 4*Ki[255+ut-bt]+Ki[255+Qe-zt]>le?0:Ki[255+i[m-4*W]-Ge]<=Ne&&Ki[255+Ge-Qe]<=Ne&&Ki[255+Qe-ut]<=Ne&&Ki[255+zr-mr]<=Ne&&Ki[255+mr-zt]<=Ne&&Ki[255+zt-bt]<=Ne}function ds(i,m,W,le){var Ne=2*le+1;for(le=0;16>le;++le)Ui(i,m+le,W,Ne)&&ft(i,m+le,W)}function $i(i,m,W,le){var Ne=2*le+1;for(le=0;16>le;++le)Ui(i,m+le*W,1,Ne)&&ft(i,m+le*W,1)}function gs(i,m,W,le){var Ne;for(Ne=3;0>7,Yr=18*tn+63>>7,tn=9*tn+63>>7;bt[zt-3*mr]=ji[255+bt[zt-3*mr]+tn],bt[zt-2*mr]=ji[255+zr+Yr],bt[zt-mr]=ji[255+Dt+Tr],bt[zt+0]=ji[255+gr-Tr],bt[zt+mr]=ji[255+Ir-Yr],bt[zt+2*mr]=ji[255+Xr-tn]}m+=le}}function wi(i,m,W,le,Ne,Ge,Qe,ut){for(Ge=2*Ge+1;0>3)],Xr=qs[112+(Xr+3>>3)],Tr=Ir+1>>1;bt[zt-2*mr]=ji[255+bt[zt-2*mr]+Tr],bt[zt-mr]=ji[255+zr+Xr],bt[zt+0]=ji[255+Dt-Ir],bt[zt+mr]=ji[255+gr-Tr]}m+=le}}function hs(i,m,W,le,Ne,Ge){Pi(i,m,W,1,16,le,Ne,Ge)}function es(i,m,W,le,Ne,Ge){Pi(i,m,1,W,16,le,Ne,Ge)}function ts(i,m,W,le,Ne,Ge){var Qe;for(Qe=3;0zt?0:255:zt)&255,zt=bt,Ne[Ge+ut]=mr}}function k(i,m,W,le){var Ne=m.width,Ge=m.o;if(s(i!=null&&m!=null),0>W||0>=le||W+le>Ge)return null;if(!i.Cc){if(i.ga==null){var Qe;if(i.ga=new r,(Qe=i.ga==null)||(Qe=m.width*m.o,s(i.Gb.length==0),i.Gb=d(Qe),i.Uc=0,i.Gb==null?Qe=0:(i.mb=i.Gb,i.nb=i.Uc,i.rc=null,Qe=1),Qe=!Qe),!Qe){Qe=i.ga;var ut=i.Fa,bt=i.P,zt=i.qc,mr=i.mb,zr=i.nb,Dt=bt+1,gr=zt-1,Ir=Qe.l;if(s(ut!=null&&mr!=null&&m!=null),$s[0]=null,$s[1]=a,$s[2]=l,$s[3]=g,Qe.ca=mr,Qe.tb=zr,Qe.c=m.width,Qe.i=m.height,s(0=zt)m=0;else if(Qe.$a=3&ut[bt+0],Qe.Z=ut[bt+0]>>2&3,Qe.Lc=ut[bt+0]>>4&3,bt=ut[bt+0]>>6&3,0>Qe.$a||1=Qe.c*Qe.i;Qe=!m}if(Qe)return null;i.ga.Lc!=1?i.Ga=0:le=Ge-W}s(i.ga!=null),s(W+le<=Ge);e:{if(m=(ut=i.ga).c,Ge=ut.l.o,ut.$a==0){if(Dt=i.rc,gr=i.Vc,Ir=i.Fa,bt=i.P+1+W*m,zt=i.mb,mr=i.nb+W*m,s(bt<=i.P+i.qc),ut.Z!=0)for(s($s[ut.Z]!=null),Qe=0;Qe=m)m=1;else if(ut.ic||ar(),ut.ic){ut=Qe.V,Dt=Qe.Ba,gr=Qe.c;var Xr=Qe.i,Tr=(Ir=1,bt=Qe.$/gr,zt=Qe.$%gr,mr=Qe.m,zr=Qe.s,Qe.$),Yr=gr*Xr,tn=gr*m,vn=zr.wc,fn=Tr(Xr=Na(fn.G[0],fn.H[0],mr)))ut[Dt+Tr]=Xr,++Tr,++zt>=gr&&(zt=0,++bt<=m&&!(bt%16)&&lo(Qe,bt));else{if(!(280>Xr)){Ir=0;break t}Xr=ja(Xr-256,mr);var ya,ia=Na(fn.G[4],fn.H[4],mr);if(nr(mr),!(Tr>=(ia=Ta(gr,ia=ja(ia,mr)))&&Yr-Tr>=Xr)){Ir=0;break t}for(ya=0;ya=gr;)zt-=gr,++bt<=m&&!(bt%16)&&lo(Qe,bt);Trm?m:bt);break t}!Ir||mr.h&&Tr=Ge&&(i.Cc=1),le=1}if(!le)return null;if(i.Cc&&((le=i.ga)!=null&&(le.mc=null),i.ga=null,0>23,ut[bt+4*Qe+1]=ut[bt+4*Qe+1]*zr>>23,ut[bt+4*Qe+2]=ut[bt+4*Qe+2]*zr>>23)}m+=Ge}}function ze(i,m,W,le,Ne){for(;0>4)*bt>>16;i[m+2*Ge+0]=(240&Qe|Qe>>4)*bt>>16&240|(15&Qe|Qe<<4)*bt>>16>>4&15,i[m+2*Ge+1]=240&zt|ut}m+=Ne}}function Je(i,m,W,le,Ne,Ge,Qe,ut){var bt,zt,mr=255;for(zt=0;zt>8}function ar(){bs=ie,zs=ze,Ds=Je,N0=At}function pr(i,m,W){Ot[i]=function(le,Ne,Ge,Qe,ut,bt,zt,mr,zr,Dt,gr,Ir,Xr,Tr,Yr,tn,vn){var fn,ya=vn-1>>1,ia=ut[bt+0]|zt[mr+0]<<16,Za=zr[Dt+0]|gr[Ir+0]<<16;s(le!=null);var pa=3*ia+Za+131074>>2;for(m(le[Ne+0],255&pa,pa>>16,Xr,Tr),Ge!=null&&(pa=3*Za+ia+131074>>2,m(Ge[Qe+0],255&pa,pa>>16,Yr,tn)),fn=1;fn<=ya;++fn){var Ya=ut[bt+fn]|zt[mr+fn]<<16,Vo=zr[Dt+fn]|gr[Ir+fn]<<16,Va=ia+Ya+Za+Vo+524296,ga=Va+2*(Ya+Za)>>3;pa=ga+ia>>1,ia=(Va=Va+2*(ia+Vo)>>3)+Ya>>1,m(le[Ne+2*fn-1],255&pa,pa>>16,Xr,Tr+(2*fn-1)*W),m(le[Ne+2*fn-0],255&ia,ia>>16,Xr,Tr+(2*fn-0)*W),Ge!=null&&(pa=Va+Za>>1,ia=ga+Vo>>1,m(Ge[Qe+2*fn-1],255&pa,pa>>16,Yr,tn+(2*fn-1)*W),m(Ge[Qe+2*fn+0],255&ia,ia>>16,Yr,tn+(2*fn+0)*W)),ia=Ya,Za=Vo}1&vn||(pa=3*ia+Za+131074>>2,m(le[Ne+vn-1],255&pa,pa>>16,Xr,Tr+(vn-1)*W),Ge!=null&&(pa=3*Za+ia+131074>>2,m(Ge[Qe+vn-1],255&pa,pa>>16,Yr,tn+(vn-1)*W)))}}function Ur(){_i[Js]=Cl,_i[Qs]=W0,_i[D0]=Ol,_i[e0]=U0,_i[t0]=Z0,_i[m0]=V0,_i[R0]=El,_i[p0]=W0,_i[g0]=U0,_i[r0]=Z0,_i[v0]=V0}function en(i){return i&~Il?0>i?0:255:i>>G0}function hn(i,m){return en((19077*i>>8)+(26149*m>>8)-14234)}function In(i,m,W){return en((19077*i>>8)-(6419*m>>8)-(13320*W>>8)+8708)}function Gn(i,m){return en((19077*i>>8)+(33050*m>>8)-17685)}function Oa(i,m,W,le,Ne){le[Ne+0]=hn(i,W),le[Ne+1]=In(i,m,W),le[Ne+2]=Gn(i,m)}function 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W,le,Ne=m.M,Ge=m.Nb,Qe=i.oc,ut=i.pc+40,bt=i.oc,zt=i.pc+584,mr=i.oc,zr=i.pc+600;for(W=0;16>W;++W)Qe[ut+32*W-1]=129;for(W=0;8>W;++W)bt[zt+32*W-1]=129,mr[zr+32*W-1]=129;for(0W;++W)b(Qe,ut+32*W-4,Qe,ut+32*W+12,4);for(W=-1;8>W;++W)b(bt,zt+32*W-4,bt,zt+32*W+4,4),b(mr,zr+32*W-4,mr,zr+32*W+4,4)}var gr=i.Gd,Ir=i.Hd+le,Xr=Dt.ad,Tr=Dt.Hc;if(0=i.za-1?j(Yr,tn,gr[Ir].y[15],4):b(Yr,tn,gr[Ir+1].y,0,4)),W=0;4>W;W++)Yr[tn+128+W]=Yr[tn+256+W]=Yr[tn+384+W]=Yr[tn+0+W];for(W=0;16>W;++W,Tr<<=2)Yr=Qe,tn=ut+_0[W],as[Dt.Ob[W]](Yr,tn),Wt(Tr,Xr,16*+W,Yr,tn)}else if(Yr=qe(le,Ne,Dt.Ob[0]),As[Yr](Qe,ut),Tr!=0)for(W=0;16>W;++W,Tr<<=2)Wt(Tr,Xr,16*+W,Qe,ut+_0[W]);for(W=Dt.Gc,Yr=qe(le,Ne,Dt.Dd),ys[Yr](bt,zt),ys[Yr](mr,zr),Tr=Xr,Yr=bt,tn=zt,255&(Dt=0|W)&&(170&Dt?Mo(Tr,256,Yr,tn):uo(Tr,256,Yr,tn)),Dt=mr,Tr=zr,255&(W>>=8)&&(170&W?Mo(Xr,320,Dt,Tr):uo(Xr,320,Dt,Tr)),NeW;++W)b(gr,Ir+W*i.R,Qe,ut+32*W,16);for(W=0;8>W;++W)b(Xr,Dt+W*i.B,bt,zt+32*W,8),b(Tr,Yr+W*i.B,mr,zr+32*W,8)}}function yr(i,m,W,le,Ne,Ge,Qe,ut,bt){var zt=[0],mr=[0],zr=0,Dt=bt!=null?bt.kd:0,gr=bt!=null?bt:new _r;if(i==null||12>W)return 7;gr.data=i,gr.w=m,gr.ha=W,m=[m],W=[W],gr.gb=[gr.gb];e:{var Ir=m,Xr=W,Tr=gr.gb;if(s(i!=null),s(Xr!=null),s(Tr!=null),Tr[0]=0,12<=Xr[0]&&!p(i,Ir[0],"RIFF")){if(p(i,Ir[0]+8,"WEBP")){Tr=3;break e}var Yr=Lr(i,Ir[0]+4);if(12>Yr||4294967286Xr[0]-8){Tr=7;break e}Tr[0]=Yr,Ir[0]+=12,Xr[0]-=12}Tr=0}if(Tr!=0)return Tr;for(Yr=0Tr[0])Tr=7;else{if(!p(tn,Xr[0],"VP8X")){if(Lr(tn,Xr[0]+4)!=10){Tr=3;break e}if(18>Tr[0]){Tr=7;break e}var ia=Lr(tn,Xr[0]+8),Za=1+wn(tn,Xr[0]+12);if(2147483648<=Za*(tn=1+wn(tn,Xr[0]+15))){Tr=3;break e}ya!=null&&(ya[0]=ia),vn!=null&&(vn[0]=Za),fn!=null&&(fn[0]=tn),Xr[0]+=18,Tr[0]-=18,pa[0]=1}Tr=0}}if(zr=zr[0],Ir=Ir[0],Tr!=0)return Tr;if(Xr=!!(2&Ir),!Yr&&zr)return 3;if(Ge!=null&&(Ge[0]=!!(16&Ir)),Qe!=null&&(Qe[0]=Xr),ut!=null&&(ut[0]=0),Qe=zt[0],Ir=mr[0],zr&&Xr&&bt==null){Tr=0;break}if(4>W){Tr=7;break}if(Yr&&zr||!Yr&&!zr&&!p(i,m[0],"ALPH")){W=[W],gr.na=[gr.na],gr.P=[gr.P],gr.Sa=[gr.Sa];e:{ia=i,Tr=m,Yr=W;var pa=gr.gb;vn=gr.na,fn=gr.P,ya=gr.Sa,Za=22,s(ia!=null),s(Yr!=null),tn=Tr[0];var Ya=Yr[0];for(s(vn!=null),s(ya!=null),vn[0]=null,fn[0]=null,ya[0]=0;;){if(Tr[0]=tn,Yr[0]=Ya,8>Ya){Tr=7;break e}var Vo=Lr(ia,tn+4);if(4294967286pa){Tr=3;break e}if(!p(ia,tn,"VP8 ")||!p(ia,tn,"VP8L")){Tr=0;break e}if(Ya[0]Yr[0])Tr=7;else{if(tn||Za){if(pa=Lr(pa,ia+4),12<=vn&&pa>vn-12){Tr=3;break e}if(Dt&&pa>Yr[0]-8){Tr=7;break e}fn[0]=pa,Tr[0]+=8,Yr[0]-=8,ya[0]=Za}else ya[0]=5<=Yr[0]&&pa[ia+0]==47&&!(pa[ia+4]>>5),fn[0]=Yr[0];Tr=0}if(W=W[0],gr.Ja=gr.Ja[0],gr.xa=gr.xa[0],m=m[0],Tr!=0)break;if(4294967286W){Tr=7;break}ut=Qe,Dt=Ir,Xr=Ge,i==null||5>W?i=0:5<=W&&i[m+0]==47&&!(i[m+4]>>5)?(Yr=[0],pa=[0],vn=[0],dr(fn=new vt,i,m,W),Aa(fn,Yr,pa,vn)?(ut!=null&&(ut[0]=Yr[0]),Dt!=null&&(Dt[0]=pa[0]),Xr!=null&&(Xr[0]=vn[0]),i=1):i=0):i=0}else{if(10>W){Tr=7;break}ut=Ir,i==null||10>W||!$o(i,m+3,W-3)?i=0:(Dt=i[m+0]|i[m+1]<<8|i[m+2]<<16,Xr=16383&(i[m+7]<<8|i[m+6]),i=16383&(i[m+9]<<8|i[m+8]),1&Dt||3<(Dt>>1&7)||!(Dt>>4&1)||Dt>>5>=gr.Ja||!Xr||!i?i=0:(Qe&&(Qe[0]=Xr),ut&&(ut[0]=i),i=1))}if(!i||(Qe=Qe[0],Ir=Ir[0],zr&&(zt[0]!=Qe||mr[0]!=Ir)))return 3;bt!=null&&(bt[0]=gr,bt.offset=m-bt.w,s(4294967286>m-bt.w),s(bt.offset==bt.ha-W));break}return Tr==0||Tr==7&&zr&&bt==null?(Ge!=null&&(Ge[0]|=gr.na!=null&&0W||(Ge&=-2,Qe&=-2),0>Ge||0>Qe||0>=ut||0>=bt||Ge+ut>le||Qe+bt>Ne))return 0;if(m.v=Ge,m.j=Qe,m.va=Ge+ut,m.o=Qe+bt,m.U=ut,m.T=bt,m.da=i!=null&&0i.S){var m=i.f.RGBA;m.fb+=(i.height-1)*m.A,m.A=-m.A}else m=i.f.kb,i=i.height,m.O+=(i-1)*m.fa,m.fa=-m.fa,m.N+=(i-1>>1)*m.Ab,m.Ab=-m.Ab,m.W+=(i-1>>1)*m.Db,m.Db=-m.Db,m.F!=null&&(m.J+=(i-1)*m.lb,m.lb=-m.lb);return 0}function dn(i,m,W,le){if(le==null||0>=i||0>=m)return 2;if(W!=null){if(W.Da){var Ne=W.cd,Ge=W.bd,Qe=-2&W.v,ut=-2&W.j;if(0>Qe||0>ut||0>=Ne||0>=Ge||Qe+Ne>i||ut+Ge>m)return 2;i=Ne,m=Ge}if(W.da){if(!Wn(i,m,Ne=[W.ib],Ge=[W.hb]))return 2;i=Ne[0],m=Ge[0]}}le.width=i,le.height=m;e:{var bt=le.width,zt=le.height;if(i=le.S,0>=bt||0>=zt||!(i>=Js&&13>i))i=2;else{if(0>=le.Rd&&le.sd==null){Qe=Ge=Ne=m=0;var mr=(ut=bt*X0[i])*zt;if(11>i||(Ge=(zt+1)/2*(m=(bt+1)/2),i==12&&(Qe=(Ne=bt)*zt)),(zt=d(mr+2*Ge+Qe))==null){i=1;break e}le.sd=zt,11>i?((bt=le.f.RGBA).eb=zt,bt.fb=0,bt.A=ut,bt.size=mr):((bt=le.f.kb).y=zt,bt.O=0,bt.fa=ut,bt.Fd=mr,bt.f=zt,bt.N=0+mr,bt.Ab=m,bt.Cd=Ge,bt.ea=zt,bt.W=0+mr+Ge,bt.Db=m,bt.Ed=Ge,i==12&&(bt.F=zt,bt.J=0+mr+2*Ge),bt.Tc=Qe,bt.lb=Ne)}if(m=1,Ne=le.S,Ge=le.width,Qe=le.height,Ne>=Js&&13>Ne)if(11>Ne)i=le.f.RGBA,m&=(ut=Math.abs(i.A))*(Qe-1)+Ge<=i.size,m&=ut>=Ge*X0[Ne],m&=i.eb!=null;else{i=le.f.kb,ut=(Ge+1)/2,mr=(Qe+1)/2,bt=Math.abs(i.fa),zt=Math.abs(i.Ab);var zr=Math.abs(i.Db),Dt=Math.abs(i.lb),gr=Dt*(Qe-1)+Ge;m&=bt*(Qe-1)+Ge<=i.Fd,m&=zt*(mr-1)+ut<=i.Cd,m=(m&=zr*(mr-1)+ut<=i.Ed)&bt>=Ge&zt>=ut&zr>=ut,m&=i.y!=null,m&=i.f!=null,m&=i.ea!=null,Ne==12&&(m&=Dt>=Ge,m&=gr<=i.Tc,m&=i.F!=null)}else m=0;i=m?0:2}}return i!=0||W!=null&&W.fd&&(i=kr(le)),i}var 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Cl=Ot.UpsampleRgbLinePair,Ol=Ot.UpsampleBgrLinePair,W0=Ot.UpsampleRgbaLinePair,U0=Ot.UpsampleBgraLinePair,Z0=Ot.UpsampleArgbLinePair,V0=Ot.UpsampleRgba4444LinePair,El=Ot.UpsampleRgb565LinePair,n0=16,a0=1<le.ca.S||(alert("todo:WebPInitConvertARGBToYUV"),le.ca.f.kb.F!=null&&ar()),le.Pb&&0(bt=W.Md)?0:100zt;++zt)12>(zr=Ne.pb[zt]).lc&&(zr.ia=bt*Tl[0>zr.lc?0:zr.lc]>>3),mr|=zr.ia;mr&&(alert("todo:VP8InitRandom"),Ne.ia=1)}Ne.Ga=W.Id,100Ne.Ga&&(Ne.Ga=0)}(function(Dt,gr){if(Dt==null)return 0;if(gr==null)return za(Dt,2,"NULL VP8Io parameter in VP8Decode().");if(!Dt.cb&&!Do(Dt,gr))return 0;if(s(Dt.cb),gr.ac==null||gr.ac(gr)){gr.ob&&(Dt.L=0);var Ir=o0[Dt.L];if(Dt.L==2?(Dt.yb=0,Dt.zb=0):(Dt.yb=gr.v-Ir>>4,Dt.zb=gr.j-Ir>>4,0>Dt.yb&&(Dt.yb=0),0>Dt.zb&&(Dt.zb=0)),Dt.Va=gr.o+15+Ir>>4,Dt.Hb=gr.va+15+Ir>>4,Dt.Hb>Dt.za&&(Dt.Hb=Dt.za),Dt.Va>Dt.Ub&&(Dt.Va=Dt.Ub),0Ir;++Ir){var Tr;if(Dt.Qa.Cb){var Yr=Dt.Qa.Lb[Ir];Dt.Qa.Fb||(Yr+=Xr.Tb)}else Yr=Xr.Tb;for(Tr=0;1>=Tr;++Tr){var 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ea=this.autoPaging!=="text";if(ea||Hn.y+Hn.h<=_n){if(ea||Hn.y>=En&&Hn.x<=qn){var Un=ea?je.text:this.pdf.splitTextToSize(je.text,je.maxWidth||qn-Hn.x)[0],Ln=ur([JSON.parse(JSON.stringify(wn))],this.posX+this.margin[3],-ka+En+this.ctx.prevPageLastElemOffset)[0],Xn=ea&&(Vr>Wn||Vr=.01&&(this.pdf.setFontSize(Hr),this.lineWidth=cn)}else je.scale>=.01&&(Hr=this.pdf.internal.getFontSize(),this.pdf.setFontSize(Hr*je.scale),cn=this.lineWidth,this.lineWidth=cn*je.scale),this.pdf.text(je.text,nr.x+this.posX,nr.y+this.posY,{angle:je.angle,align:vt,renderingMode:je.renderingMode,maxWidth:je.maxWidth}),je.scale>=.01&&(this.pdf.setFontSize(Hr),this.lineWidth=cn)},lt=function(je,vt,Nt,st){Nt=Nt||0,st=st||0,this.pdf.internal.out(p(je+Nt)+" "+b(vt+st)+" l")},Et=function(je,vt,Nt){return this.pdf.lines(je,vt,Nt,null,null)},fr=function(je,vt,Nt,st,qt,nr,Or,Ar){this.pdf.internal.out([s(j(Nt+je)),s(d(st+vt)),s(j(qt+je)),s(d(nr+vt)),s(j(Or+je)),s(d(Ar+vt)),"c"].join(" "))},vr=function(je,vt,Nt,st){for(var qt=2*Math.PI,nr=Math.PI/2;vt>Nt;)vt-=qt;var Or=Math.abs(Nt-vt);Or1e-5;){var cn=Hr+Rr*Math.min(Or,nr);Ar.push(Zt.call(this,je,Hr,cn)),Or-=Math.abs(cn-Hr),Hr=cn}return Ar},Zt=function(je,vt,Nt){var st=(Nt-vt)/2,qt=je*Math.cos(st),nr=je*Math.sin(st),Or=qt,Ar=-nr,Rr=Or*Or+Ar*Ar,Hr=Rr+Or*qt+Ar*nr,cn=4/3*(Math.sqrt(2*Rr*Hr)-Hr)/(Or*nr-Ar*qt),wn=Or-cn*Ar,Lr=Ar+cn*Or,Mt=wn,ba=-Lr,da=st+vt,Wn=Math.cos(da),Jr=Math.sin(da);return{x1:je*Math.cos(vt),y1:je*Math.sin(vt),x2:wn*Wn-Lr*Jr,y2:wn*Jr+Lr*Wn,x3:Mt*Wn-ba*Jr,y3:Mt*Jr+ba*Wn,x4:je*Math.cos(Nt),y4:je*Math.sin(Nt)}},Tt=function(je){return 180*je/Math.PI},dr=function(je,vt,Nt,st,qt,nr){var Or=je+.5*(Nt-je),Ar=vt+.5*(st-vt),Rr=qt+.5*(Nt-qt),Hr=nr+.5*(st-nr),cn=Math.min(je,qt,Or,Rr),wn=Math.max(je,qt,Or,Rr),Lr=Math.min(vt,nr,Ar,Hr),Mt=Math.max(vt,nr,Ar,Hr);return new V(cn,Lr,wn-cn,Mt-Lr)},Yt=function(je,vt,Nt,st,qt,nr,Or,Ar){var Rr,Hr,cn,wn,Lr,Mt,ba,da,Wn,Jr,Vr,En,oa,_n,xa=Nt-je,qn=st-vt,Qn=qt-Nt,ka=nr-st,ra=Or-qt,Hn=Ar-nr;for(Hr=0;Hr<41;Hr++)Wn=(ba=(cn=je+(Rr=Hr/40)*xa)+Rr*((Lr=Nt+Rr*Qn)-cn))+Rr*(Lr+Rr*(qt+Rr*ra-Lr)-ba),Jr=(da=(wn=vt+Rr*qn)+Rr*((Mt=st+Rr*ka)-wn))+Rr*(Mt+Rr*(nr+Rr*Hn-Mt)-da),Hr==0?(Vr=Wn,En=Jr,oa=Wn,_n=Jr):(Vr=Math.min(Vr,Wn),En=Math.min(En,Jr),oa=Math.max(oa,Wn),_n=Math.max(_n,Jr));return new V(Math.round(Vr),Math.round(En),Math.round(oa-Vr),Math.round(_n-En))},wr=function(){if(this.prevLineDash||this.ctx.lineDash.length||this.ctx.lineDashOffset){var je,vt,Nt=(je=this.ctx.lineDash,vt=this.ctx.lineDashOffset,JSON.stringify({lineDash:je,lineDashOffset:vt}));this.prevLineDash!==Nt&&(this.pdf.setLineDash(this.ctx.lineDash,this.ctx.lineDashOffset),this.prevLineDash=Nt)}}})(R.API),function(f){var s=function(ne){var 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ne.split("").map(function(V){return("0"+V.charCodeAt().toString(16)).slice(-2)}).join("")+">"},j=function(ne){var V=new RegExp(/^([0-9A-Fa-f]{2})+$/);if((ne=ne.replace(/\s/g,"")).indexOf(">")!==-1&&(ne=ne.substr(0,ne.indexOf(">"))),ne.length%2&&(ne+="0"),V.test(ne)===!1)return"";for(var Q="",Ae=0;Aegt&&(rt=Kt,Kt=gt,gt=rt);else{if(V!=="l"&&V!=="landscape")throw"Invalid orientation: "+V;V="l",gt>Kt&&(rt=Kt,Kt=gt,gt=rt)}return{width:Kt,height:gt,unit:Q,k:Pt,orientation:V}},f.html=function(V,Q){(Q=Q||{}).callback=Q.callback||function(){},Q.html2canvas=Q.html2canvas||{},Q.html2canvas.canvas=Q.html2canvas.canvas||this.canvas,Q.jsPDF=Q.jsPDF||this,Q.fontFaces=Q.fontFaces?Q.fontFaces.map(sr):null;var Ae=new ne(Q);return Q.worker?Ae:Ae.from(V).doCallback()}}(R.API),R.API.addJS=function(f){return br=f,this.internal.events.subscribe("postPutResources",function(){Ht=this.internal.newObject(),this.internal.out("<<"),this.internal.out("/Names [(EmbeddedJS) "+(Ht+1)+" 0 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P{constructor(G,Y){this._startName=G,this._endName=Y}getConfig(G,Y){let J=G;if(Y.from!==0||Y.to!==-1){let le=!0;J.indexOf("?")===-1&&(J+="?",le=!1),le&&(J+="&"),J+=`${this._startName}=${Y.from.toString()}`,Y.to!==-1&&(J+=`&${this._endName}=${Y.to.toString()}`)}return{url:J,headers:{}}}removeURLParameters(G){let Y=G.split("?")[0],J,le=G.indexOf("?");le!==-1&&(J=G.substring(le+1));let _e="";if(J!=null&&J.length>0){let Me=J.split("&");for(let Pe=0;Pe0;Ye[0]!==this._startName&&Ye[0]!==this._endName&&(qe&&(_e+="&"),_e+=Me[Pe])}}return _e.length===0?Y:Y+"?"+_e}}var F=P;class K{constructor(G,Y,J){this.TAG="IOController",this._config=Y,this._extraData=J,this._stashInitialSize=1024*384,Y.stashInitialSize!=null&&Y.stashInitialSize>0&&(this._stashInitialSize=Y.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,Y.enableStashBuffer===!1&&(this._enableStash=!1),this._loader=null,this._loaderClass=null,this._seekHandler=null,this._dataSource=G,this._isWebSocketURL=/wss?:\/\/(.+?)/.test(G.url),this._refTotalLength=G.filesize?G.filesize:null,this._totalLength=this._refTotalLength,this._fullRequestFlag=!1,this._currentRange=null,this._redirectedURL=null,this._speedNormalized=0,this._speedSampler=new b,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(G){this._extraData=G}get onDataArrival(){return this._onDataArrival}set onDataArrival(G){this._onDataArrival=G}get onSeeked(){return this._onSeeked}set onSeeked(G){this._onSeeked=G}get onError(){return this._onError}set onError(G){this._onError=G}get onComplete(){return this._onComplete}set onComplete(G){this._onComplete=G}get onRedirect(){return this._onRedirect}set onRedirect(G){this._onRedirect=G}get onRecoveredEarlyEof(){return this._onRecoveredEarlyEof}set onRecoveredEarlyEof(G){this._onRecoveredEarlyEof=G}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===w?this._loader.currentSpeed:this._speedSampler.lastSecondKBps}get loaderType(){return this._loader.type}_selectSeekHandler(){let G=this._config;if(G.seekType==="range")this._seekHandler=new B(this._config.rangeLoadZeroStart);else if(G.seekType==="param"){let Y=G.seekParamStart||"bstart",J=G.seekParamEnd||"bend";this._seekHandler=new F(Y,J)}else if(G.seekType==="custom"){if(typeof G.customSeekHandler!="function")throw new c("Custom seekType specified in config but invalid customSeekHandler!");this._seekHandler=new G.customSeekHandler}else throw new c(`Invalid seekType in config: ${G.seekType}`)}_selectLoader(){if(this._config.customLoader!=null)this._loaderClass=this._config.customLoader;else if(this._isWebSocketURL)this._loaderClass=M;else if(v.isSupported())this._loaderClass=v;else if(a.isSupported())this._loaderClass=a;else if(w.isSupported())this._loaderClass=w;else throw new s("Your browser doesn't support xhr with arraybuffer responseType!")}_createLoader(){this._loader=new 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G=this._resumeFrom;this._resumeFrom=0,this._internalSeek(G,!0)}}seek(G){this._paused=!1,this._stashUsed=0,this._stashByteStart=0,this._internalSeek(G,!0)}_internalSeek(G,Y){this._loader.isWorking()&&this._loader.abort(),this._flushStashBuffer(Y),this._loader.destroy(),this._loader=null;let J={from:G,to:-1};this._currentRange={from:J.from,to:-1},this._speedSampler.reset(),this._stashSize=this._stashInitialSize,this._createLoader(),this._loader.open(this._dataSource,J),this._onSeeked&&this._onSeeked()}updateUrl(G){if(!G||typeof G!="string"||G.length===0)throw new c("Url must be a non-empty string!");this._dataSource.url=G}_expandBuffer(G){let Y=this._stashSize;for(;Y+1024*1024*10){let le=new Uint8Array(this._stashBuffer,0,this._stashUsed);new Uint8Array(J,0,Y).set(le,0)}this._stashBuffer=J,this._bufferSize=Y}_normalizeSpeed(G){let Y=this._speedNormalizeList,J=Y.length-1,le=0,_e=0,Me=J;if(G=Y[le]&&G=512&&G<=1024?Y=Math.floor(G*1.5):Y=G*2,Y>8192&&(Y=8192);let J=Y*1024+1024*1024*1;this._bufferSize0){let Me=this._stashBuffer.slice(0,this._stashUsed),Pe=this._dispatchChunks(Me,this._stashByteStart);if(Pe0){let Ye=new Uint8Array(Me,Pe);_e.set(Ye,0),this._stashUsed=Ye.byteLength,this._stashByteStart+=Pe}}else this._stashUsed=0,this._stashByteStart+=Pe;this._stashUsed+G.byteLength>this._bufferSize&&(this._expandBuffer(this._stashUsed+G.byteLength),_e=new Uint8Array(this._stashBuffer,0,this._bufferSize)),_e.set(new Uint8Array(G),this._stashUsed),this._stashUsed+=G.byteLength}else{let Me=this._dispatchChunks(G,Y);if(Methis._bufferSize&&(this._expandBuffer(Pe),_e=new Uint8Array(this._stashBuffer,0,this._bufferSize)),_e.set(new Uint8Array(G,Me),0),this._stashUsed+=Pe,this._stashByteStart=Y+Me}}}else if(this._stashUsed===0){let _e=this._dispatchChunks(G,Y);if(_ethis._bufferSize&&this._expandBuffer(Me),new Uint8Array(this._stashBuffer,0,this._bufferSize).set(new Uint8Array(G,_e),0),this._stashUsed+=Me,this._stashByteStart=Y+_e}}else{this._stashUsed+G.byteLength>this._bufferSize&&this._expandBuffer(this._stashUsed+G.byteLength);let _e=new Uint8Array(this._stashBuffer,0,this._bufferSize);_e.set(new Uint8Array(G),this._stashUsed),this._stashUsed+=G.byteLength;let Me=this._dispatchChunks(this._stashBuffer.slice(0,this._stashUsed),this._stashByteStart);if(Me0){let Pe=new Uint8Array(this._stashBuffer,Me);_e.set(Pe,0)}this._stashUsed-=Me,this._stashByteStart+=Me}}_flushStashBuffer(G){if(this._stashUsed>0){let Y=this._stashBuffer.slice(0,this._stashUsed),J=this._dispatchChunks(Y,this._stashByteStart),le=Y.byteLength-J;if(J0){let _e=new Uint8Array(this._stashBuffer,0,this._bufferSize),Me=new Uint8Array(Y,J);_e.set(Me,0),this._stashUsed=Me.byteLength,this._stashByteStart+=J}return 0}return this._stashUsed=0,this._stashByteStart=0,le}return 0}_onLoaderComplete(G,Y){this._flushStashBuffer(!0),this._onComplete&&this._onComplete(this._extraData)}_onLoaderError(G,Y){switch(y.e(this.TAG,`Loader error, code = ${Y.code}, msg = ${Y.msg}`),this._flushStashBuffer(!1),this._isEarlyEofReconnecting&&(this._isEarlyEofReconnecting=!1,G=i.UNRECOVERABLE_EARLY_EOF),G){case i.EARLY_EOF:{if(!this._config.isLive&&this._totalLength){let J=this._currentRange.to+1;J0){let Y=se.getConfig();G.emit("change",Y)}}static registerListener(G){se.emitter.addListener("change",G)}static removeListener(G){se.emitter.removeListener("change",G)}static addLogListener(G){y.emitter.addListener("log",G),y.emitter.listenerCount("log")>0&&(y.ENABLE_CALLBACK=!0,se._notifyChange())}static removeLogListener(G){y.emitter.removeListener("log",G),y.emitter.listenerCount("log")===0&&(y.ENABLE_CALLBACK=!1,se._notifyChange())}}se.emitter=new(D());var ue=se;class pe{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 G=this.hasAudio===!1||this.hasAudio===!0&&this.audioCodec!=null&&this.audioSampleRate!=null&&this.audioChannelCount!=null,Y=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&&G&&Y}isSeekable(){return this.hasKeyframesIndex===!0}getNearestKeyframe(G){if(this.keyframesIndex==null)return null;let Y=this.keyframesIndex,J=this._search(Y.times,G);return{index:J,milliseconds:Y.times[J],fileposition:Y.filepositions[J]}}_search(G,Y){let J=0,le=G.length-1,_e=0,Me=0,Pe=le;for(Y=G[_e]&&Y=128){G.push(String.fromCharCode(_e&65535)),J+=2;continue}}}else if(Y[J]<240){if(De(Y,J,2)){let _e=(Y[J]&15)<<12|(Y[J+1]&63)<<6|Y[J+2]&63;if(_e>=2048&&(_e&63488)!==55296){G.push(String.fromCharCode(_e&65535)),J+=3;continue}}}else if(Y[J]<248&&De(Y,J,3)){let _e=(Y[J]&7)<<18|(Y[J+1]&63)<<12|(Y[J+2]&63)<<6|Y[J+3]&63;if(_e>65536&&_e<1114112){_e-=65536,G.push(String.fromCharCode(_e>>>10|55296)),G.push(String.fromCharCode(_e&1023|56320)),J+=4;continue}}}G.push("\uFFFD"),++J}return G.join("")}var Ge=ke;let xe=function(){let ht=new ArrayBuffer(2);return new DataView(ht).setInt16(0,256,!0),new Int16Array(ht)[0]===256}();class We{static parseScriptData(G,Y,J){let le={};try{let _e=We.parseValue(G,Y,J),Me=We.parseValue(G,Y+_e.size,J-_e.size);le[_e.data]=Me.data}catch(_e){y.e("AMF",_e.toString())}return le}static parseObject(G,Y,J){if(J<3)throw new x("Data not enough when parse ScriptDataObject");let le=We.parseString(G,Y,J),_e=We.parseValue(G,Y+le.size,J-le.size),Me=_e.objectEnd;return{data:{name:le.data,value:_e.data},size:le.size+_e.size,objectEnd:Me}}static parseVariable(G,Y,J){return We.parseObject(G,Y,J)}static parseString(G,Y,J){if(J<2)throw new x("Data not enough when parse String");let _e=new DataView(G,Y,J).getUint16(0,!xe),Me;return _e>0?Me=Ge(new Uint8Array(G,Y+2,_e)):Me="",{data:Me,size:2+_e}}static parseLongString(G,Y,J){if(J<4)throw new x("Data not enough when parse LongString");let _e=new DataView(G,Y,J).getUint32(0,!xe),Me;return _e>0?Me=Ge(new Uint8Array(G,Y+4,_e)):Me="",{data:Me,size:4+_e}}static parseDate(G,Y,J){if(J<10)throw new x("Data size invalid when parse Date");let le=new DataView(G,Y,J),_e=le.getFloat64(0,!xe),Me=le.getInt16(8,!xe);return _e+=Me*60*1e3,{data:new Date(_e),size:10}}static parseValue(G,Y,J){if(J<1)throw new x("Data not enough when parse Value");let le=new DataView(G,Y,J),_e=1,Me=le.getUint8(0),Pe,Ye=!1;try{switch(Me){case 0:Pe=le.getFloat64(1,!xe),_e+=8;break;case 1:{Pe=!!le.getUint8(1),_e+=1;break}case 2:{let qe=We.parseString(G,Y+1,J-1);Pe=qe.data,_e+=qe.size;break}case 3:{Pe={};let qe=0;for((le.getUint32(J-4,!xe)&16777215)===9&&(qe=3);_e32)throw new c("ExpGolomb: readBits() bits exceeded max 32bits!");if(G<=this._current_word_bits_left){let Me=this._current_word>>>32-G;return this._current_word<<=G,this._current_word_bits_left-=G,Me}let Y=this._current_word_bits_left?this._current_word:0;Y=Y>>>32-this._current_word_bits_left;let J=G-this._current_word_bits_left;this._fillCurrentWord();let le=Math.min(J,this._current_word_bits_left),_e=this._current_word>>>32-le;return this._current_word<<=le,this._current_word_bits_left-=le,Y=Y<>>G)return this._current_word<<=G,this._current_word_bits_left-=G,G;return this._fillCurrentWord(),G+this._skipLeadingZero()}readUEG(){let G=this._skipLeadingZero();return this.readBits(G+1)-1}readSEG(){let G=this.readUEG();return G&1?G+1>>>1:-1*(G>>>1)}}var ge=be;class Le{static _ebsp2rbsp(G){let Y=G,J=Y.byteLength,le=new Uint8Array(J),_e=0;for(let Me=0;Me=2&&Y[Me]===3&&Y[Me-1]===0&&Y[Me-2]===0||(le[_e]=Y[Me],_e++);return new Uint8Array(le.buffer,0,_e)}static parseSPS(G){let Y=Le._ebsp2rbsp(G),J=new ge(Y);J.readByte();let le=J.readByte();J.readByte();let _e=J.readByte();J.readUEG();let Me=Le.getProfileString(le),Pe=Le.getLevelString(_e),Ye=1,qe=420,bt=[0,420,422,444],jt=8;if((le===100||le===110||le===122||le===244||le===44||le===83||le===86||le===118||le===128||le===138||le===144)&&(Ye=J.readUEG(),Ye===3&&J.readBits(1),Ye<=3&&(qe=bt[Ye]),jt=J.readUEG()+8,J.readUEG(),J.readBits(1),J.readBool())){let Jt=Ye!==3?8:12;for(let vr=0;vr0&&Jt<16?(Nt=vr[Jt-1],Et=He[Jt-1]):Jt===255&&(Nt=J.readByte()<<8|J.readByte(),Et=J.readByte()<<8|J.readByte())}if(J.readBool()&&J.readBool(),J.readBool()&&(J.readBits(4),J.readBool()&&J.readBits(24)),J.readBool()&&(J.readUEG(),J.readUEG()),J.readBool()){let Jt=J.readBits(32),vr=J.readBits(32);yt=J.readBool(),Be=vr,Ve=Jt*2,It=Be/Ve}}let Ke=1;(Nt!==1||Et!==1)&&(Ke=Nt/Et);let Tt=0,Ct=0;if(Ye===0)Tt=1,Ct=2-je;else{let Jt=Ye===3?1:2,vr=Ye===1?2:1;Tt=Jt,Ct=vr*(2-je)}let Pt=(lt+1)*16,Ht=(2-je)*((Ze+1)*16);Pt-=($e+_t)*Tt,Ht-=(dt+kt)*Ct;let Qt=Math.ceil(Pt*Ke);return J.destroy(),J=null,{profile_string:Me,level_string:Pe,bit_depth:jt,ref_frames:Se,chroma_format:qe,chroma_format_string:Le.getChromaFormatString(qe),frame_rate:{fixed:yt,fps:It,fps_den:Ve,fps_num:Be},sar_ratio:{width:Nt,height:Et},codec_size:{width:Pt,height:Ht},present_size:{width:Qt,height:Ht}}}static _skipScalingList(G,Y){let J=8,le=8,_e=0;for(let Me=0;Me>>8&255|(ht&255)<<8}function oe(ht){return(ht&4278190080)>>>24|(ht&16711680)>>>8|(ht&65280)<<8|(ht&255)<<24}function ie(ht,G){return ht[G]<<24|ht[G+1]<<16|ht[G+2]<<8|ht[G+3]}class ce{constructor(G,Y){this.TAG="FLVDemuxer",this._config=Y,this._onError=null,this._onMediaInfo=null,this._onMetaDataArrived=null,this._onScriptDataArrived=null,this._onTrackMetadata=null,this._onDataAvailable=null,this._dataOffset=G.dataOffset,this._firstParse=!0,this._dispatch=!1,this._hasAudio=G.hasAudioTrack,this._hasVideo=G.hasVideoTrack,this._hasAudioFlagOverrided=!1,this._hasVideoFlagOverrided=!1,this._audioInitialMetadataDispatched=!1,this._videoInitialMetadataDispatched=!1,this._mediaInfo=new Te,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 J=new ArrayBuffer(2);return new DataView(J).setInt16(0,256,!0),new Int16Array(J)[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(G){let Y=new Uint8Array(G),J={match:!1};if(Y[0]!==70||Y[1]!==76||Y[2]!==86||Y[3]!==1)return J;let le=(Y[4]&4)>>>2!==0,_e=(Y[4]&1)!==0,Me=ie(Y,5);return Me<9?J:{match:!0,consumed:Me,dataOffset:Me,hasAudioTrack:le,hasVideoTrack:_e}}bindDataSource(G){return G.onDataArrival=this.parseChunks.bind(this),this}get onTrackMetadata(){return this._onTrackMetadata}set onTrackMetadata(G){this._onTrackMetadata=G}get onMediaInfo(){return this._onMediaInfo}set onMediaInfo(G){this._onMediaInfo=G}get onMetaDataArrived(){return this._onMetaDataArrived}set onMetaDataArrived(G){this._onMetaDataArrived=G}get onScriptDataArrived(){return this._onScriptDataArrived}set onScriptDataArrived(G){this._onScriptDataArrived=G}get onError(){return this._onError}set onError(G){this._onError=G}get onDataAvailable(){return this._onDataAvailable}set onDataAvailable(G){this._onDataAvailable=G}get timestampBase(){return this._timestampBase}set timestampBase(G){this._timestampBase=G}get overridedDuration(){return this._duration}set overridedDuration(G){this._durationOverrided=!0,this._duration=G,this._mediaInfo.duration=G}set overridedHasAudio(G){this._hasAudioFlagOverrided=!0,this._hasAudio=G,this._mediaInfo.hasAudio=G}set overridedHasVideo(G){this._hasVideoFlagOverrided=!0,this._hasVideo=G,this._mediaInfo.hasVideo=G}resetMediaInfo(){this._mediaInfo=new Te}_isInitialMetadataDispatched(){return this._hasAudio&&this._hasVideo?this._audioInitialMetadataDispatched&&this._videoInitialMetadataDispatched:this._hasAudio&&!this._hasVideo?this._audioInitialMetadataDispatched:!this._hasAudio&&this._hasVideo?this._videoInitialMetadataDispatched:!1}parseChunks(G,Y){if(!this._onError||!this._onMediaInfo||!this._onTrackMetadata||!this._onDataAvailable)throw new x("Flv: onError & onMediaInfo & onTrackMetadata & onDataAvailable callback must be specified");let J=0,le=this._littleEndian;if(Y===0)if(G.byteLength>13)J=ce.probe(G).dataOffset;else return 0;for(this._firstParse&&(this._firstParse=!1,Y+J!==this._dataOffset&&y.w(this.TAG,"First time parsing but chunk byteStart invalid!"),new DataView(G,J).getUint32(0,!le)!==0&&y.w(this.TAG,"PrevTagSize0 !== 0 !!!"),J+=4);JG.byteLength)break;let Me=_e.getUint8(0),Pe=_e.getUint32(0,!le)&16777215;if(J+11+Pe+4>G.byteLength)break;if(Me!==8&&Me!==9&&Me!==18){y.w(this.TAG,`Unsupported tag type ${Me}, skipped`),J+=11+Pe+4;continue}let Ye=_e.getUint8(4),qe=_e.getUint8(5),bt=_e.getUint8(6),jt=_e.getUint8(7),Oe=bt|qe<<8|Ye<<16|jt<<24;(_e.getUint32(7,!le)&16777215)!==0&&y.w(this.TAG,"Meet tag which has StreamID != 0!");let lt=J+11;switch(Me){case 8:this._parseAudioData(G,lt,Pe,Oe);break;case 9:this._parseVideoData(G,lt,Pe,Oe,Y+J);break;case 18:this._parseScriptData(G,lt,Pe);break}let Ze=_e.getUint32(11+Pe,!le);Ze!==11+Pe&&y.w(this.TAG,`Invalid PrevTagSize ${Ze}`),J+=11+Pe+4}return this._isInitialMetadataDispatched()&&this._dispatch&&(this._audioTrack.length||this._videoTrack.length)&&this._onDataAvailable(this._audioTrack,this._videoTrack),J}_parseScriptData(G,Y,J){let le=Ce.parseScriptData(G,Y,J);if(le.hasOwnProperty("onMetaData")){if(le.onMetaData==null||typeof le.onMetaData!="object"){y.w(this.TAG,"Invalid onMetaData structure!");return}this._metadata&&y.w(this.TAG,"Found another onMetaData tag!"),this._metadata=le;let _e=this._metadata.onMetaData;if(this._onMetaDataArrived&&this._onMetaDataArrived(Object.assign({},_e)),typeof _e.hasAudio=="boolean"&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=_e.hasAudio,this._mediaInfo.hasAudio=this._hasAudio),typeof _e.hasVideo=="boolean"&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=_e.hasVideo,this._mediaInfo.hasVideo=this._hasVideo),typeof _e.audiodatarate=="number"&&(this._mediaInfo.audioDataRate=_e.audiodatarate),typeof _e.videodatarate=="number"&&(this._mediaInfo.videoDataRate=_e.videodatarate),typeof _e.width=="number"&&(this._mediaInfo.width=_e.width),typeof _e.height=="number"&&(this._mediaInfo.height=_e.height),typeof _e.duration=="number"){if(!this._durationOverrided){let Me=Math.floor(_e.duration*this._timescale);this._duration=Me,this._mediaInfo.duration=Me}}else this._mediaInfo.duration=0;if(typeof _e.framerate=="number"){let Me=Math.floor(_e.framerate*1e3);if(Me>0){let Pe=Me/1e3;this._referenceFrameRate.fixed=!0,this._referenceFrameRate.fps=Pe,this._referenceFrameRate.fps_num=Me,this._referenceFrameRate.fps_den=1e3,this._mediaInfo.fps=Pe}}if(typeof _e.keyframes=="object"){this._mediaInfo.hasKeyframesIndex=!0;let Me=_e.keyframes;this._mediaInfo.keyframesIndex=this._parseKeyframesIndex(Me),_e.keyframes=null}else this._mediaInfo.hasKeyframesIndex=!1;this._dispatch=!1,this._mediaInfo.metadata=_e,y.v(this.TAG,"Parsed onMetaData"),this._mediaInfo.isComplete()&&this._onMediaInfo(this._mediaInfo)}Object.keys(le).length>0&&this._onScriptDataArrived&&this._onScriptDataArrived(Object.assign({},le))}_parseKeyframesIndex(G){let Y=[],J=[];for(let le=1;le>>4;if(Ye!==2&&Ye!==10){this._onError(Fe.CODEC_UNSUPPORTED,"Flv: Unsupported audio codec idx: "+Ye);return}let qe=0,bt=(Pe&12)>>>2;if(bt>=0&&bt<=4)qe=this._flvSoundRateTable[bt];else{this._onError(Fe.FORMAT_ERROR,"Flv: Invalid audio sample rate idx: "+bt);return}let jt=(Pe&2)>>>1,Oe=Pe&1,Se=this._audioMetadata,lt=this._audioTrack;if(Se||(this._hasAudio===!1&&this._hasAudioFlagOverrided===!1&&(this._hasAudio=!0,this._mediaInfo.hasAudio=!0),Se=this._audioMetadata={},Se.type="audio",Se.id=lt.id,Se.timescale=this._timescale,Se.duration=this._duration,Se.audioSampleRate=qe,Se.channelCount=Oe===0?1:2),Ye===10){let Ze=this._parseAACAudioData(G,Y+1,J-1);if(Ze==null)return;if(Ze.packetType===0){Se.config&&y.w(this.TAG,"Found another AudioSpecificConfig!");let je=Ze.data;Se.audioSampleRate=je.samplingRate,Se.channelCount=je.channelCount,Se.codec=je.codec,Se.originalCodec=je.originalCodec,Se.config=je.config,Se.refSampleDuration=1024/Se.audioSampleRate*Se.timescale,y.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",Se);let $e=this._mediaInfo;$e.audioCodec=Se.originalCodec,$e.audioSampleRate=Se.audioSampleRate,$e.audioChannelCount=Se.channelCount,$e.hasVideo?$e.videoCodec!=null&&($e.mimeType='video/x-flv; codecs="'+$e.videoCodec+","+$e.audioCodec+'"'):$e.mimeType='video/x-flv; codecs="'+$e.audioCodec+'"',$e.isComplete()&&this._onMediaInfo($e)}else if(Ze.packetType===1){let je=this._timestampBase+le,$e={unit:Ze.data,length:Ze.data.byteLength,dts:je,pts:je};lt.samples.push($e),lt.length+=Ze.data.length}else y.e(this.TAG,`Flv: Unsupported AAC data type ${Ze.packetType}`)}else if(Ye===2){if(!Se.codec){let _t=this._parseMP3AudioData(G,Y+1,J-1,!0);if(_t==null)return;Se.audioSampleRate=_t.samplingRate,Se.channelCount=_t.channelCount,Se.codec=_t.codec,Se.originalCodec=_t.originalCodec,Se.refSampleDuration=1152/Se.audioSampleRate*Se.timescale,y.v(this.TAG,"Parsed MPEG Audio Frame Header"),this._audioInitialMetadataDispatched=!0,this._onTrackMetadata("audio",Se);let dt=this._mediaInfo;dt.audioCodec=Se.codec,dt.audioSampleRate=Se.audioSampleRate,dt.audioChannelCount=Se.channelCount,dt.audioDataRate=_t.bitRate,dt.hasVideo?dt.videoCodec!=null&&(dt.mimeType='video/x-flv; codecs="'+dt.videoCodec+","+dt.audioCodec+'"'):dt.mimeType='video/x-flv; codecs="'+dt.audioCodec+'"',dt.isComplete()&&this._onMediaInfo(dt)}let Ze=this._parseMP3AudioData(G,Y+1,J-1,!1);if(Ze==null)return;let je=this._timestampBase+le,$e={unit:Ze,length:Ze.byteLength,dts:je,pts:je};lt.samples.push($e),lt.length+=Ze.length}}_parseAACAudioData(G,Y,J){if(J<=1){y.w(this.TAG,"Flv: Invalid AAC packet, missing AACPacketType or/and Data!");return}let le={},_e=new Uint8Array(G,Y,J);return le.packetType=_e[0],_e[0]===0?le.data=this._parseAACAudioSpecificConfig(G,Y+1,J-1):le.data=_e.subarray(1),le}_parseAACAudioSpecificConfig(G,Y,J){let le=new Uint8Array(G,Y,J),_e=null,Me=0,Pe=0,Ye=null,qe=0,bt=null;if(Me=Pe=le[0]>>>3,qe=(le[0]&7)<<1|le[1]>>>7,qe<0||qe>=this._mpegSamplingRates.length){this._onError(Fe.FORMAT_ERROR,"Flv: AAC invalid sampling frequency index!");return}let jt=this._mpegSamplingRates[qe],Oe=(le[1]&120)>>>3;if(Oe<0||Oe>=8){this._onError(Fe.FORMAT_ERROR,"Flv: AAC invalid channel configuration");return}Me===5&&(bt=(le[1]&7)<<1|le[2]>>>7,Ye=(le[2]&124)>>>2);let Se=self.navigator.userAgent.toLowerCase();return Se.indexOf("firefox")!==-1?qe>=6?(Me=5,_e=new Array(4),bt=qe-3):(Me=2,_e=new Array(2),bt=qe):Se.indexOf("android")!==-1?(Me=2,_e=new Array(2),bt=qe):(Me=5,bt=qe,_e=new Array(4),qe>=6?bt=qe-3:Oe===1&&(Me=2,_e=new Array(2),bt=qe)),_e[0]=Me<<3,_e[0]|=(qe&15)>>>1,_e[1]=(qe&15)<<7,_e[1]|=(Oe&15)<<3,Me===5&&(_e[1]|=(bt&15)>>>1,_e[2]=(bt&1)<<7,_e[2]|=8,_e[3]=0),{config:_e,samplingRate:jt,channelCount:Oe,codec:"mp4a.40."+Me,originalCodec:"mp4a.40."+Pe}}_parseMP3AudioData(G,Y,J,le){if(J<4){y.w(this.TAG,"Flv: Invalid MP3 packet, header missing!");return}let _e=this._littleEndian,Me=new Uint8Array(G,Y,J),Pe=null;if(le){if(Me[0]!==255)return;let Ye=Me[1]>>>3&3,qe=(Me[1]&6)>>1,bt=(Me[2]&240)>>>4,jt=(Me[2]&12)>>>2,Se=(Me[3]>>>6&3)!==3?2:1,lt=0,Ze=0,je=34,$e="mp3";switch(Ye){case 0:lt=this._mpegAudioV25SampleRateTable[jt];break;case 2:lt=this._mpegAudioV20SampleRateTable[jt];break;case 3:lt=this._mpegAudioV10SampleRateTable[jt];break}switch(qe){case 1:je=34,bt>>4,Ye=Me&15;if(Ye!==7){this._onError(Fe.CODEC_UNSUPPORTED,`Flv: Unsupported codec in video frame: ${Ye}`);return}this._parseAVCVideoPacket(G,Y+1,J-1,le,_e,Pe)}_parseAVCVideoPacket(G,Y,J,le,_e,Me){if(J<4){y.w(this.TAG,"Flv: Invalid AVC packet, missing AVCPacketType or/and CompositionTime");return}let Pe=this._littleEndian,Ye=new DataView(G,Y,J),qe=Ye.getUint8(0),jt=(Ye.getUint32(0,!Pe)&16777215)<<8>>8;if(qe===0)this._parseAVCDecoderConfigurationRecord(G,Y+4,J-4);else if(qe===1)this._parseAVCVideoData(G,Y+4,J-4,le,_e,Me,jt);else if(qe!==2){this._onError(Fe.FORMAT_ERROR,`Flv: Invalid video packet type ${qe}`);return}}_parseAVCDecoderConfigurationRecord(G,Y,J){if(J<7){y.w(this.TAG,"Flv: Invalid AVCDecoderConfigurationRecord, lack of data!");return}let le=this._videoMetadata,_e=this._videoTrack,Me=this._littleEndian,Pe=new DataView(G,Y,J);le?typeof le.avcc!="undefined"&&y.w(this.TAG,"Found another AVCDecoderConfigurationRecord!"):(this._hasVideo===!1&&this._hasVideoFlagOverrided===!1&&(this._hasVideo=!0,this._mediaInfo.hasVideo=!0),le=this._videoMetadata={},le.type="video",le.id=_e.id,le.timescale=this._timescale,le.duration=this._duration);let Ye=Pe.getUint8(0),qe=Pe.getUint8(1),bt=Pe.getUint8(2),jt=Pe.getUint8(3);if(Ye!==1||qe===0){this._onError(Fe.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord");return}if(this._naluLengthSize=(Pe.getUint8(4)&3)+1,this._naluLengthSize!==3&&this._naluLengthSize!==4){this._onError(Fe.FORMAT_ERROR,`Flv: Strange NaluLengthSizeMinusOne: ${this._naluLengthSize-1}`);return}let Oe=Pe.getUint8(5)&31;if(Oe===0){this._onError(Fe.FORMAT_ERROR,"Flv: Invalid AVCDecoderConfigurationRecord: No SPS");return}else Oe>1&&y.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: SPS Count = ${Oe}`);let Se=6;for(let Ze=0;Ze1&&y.w(this.TAG,`Flv: Strange AVCDecoderConfigurationRecord: PPS Count = ${lt}`);Se++;for(let Ze=0;Ze=J){y.w(this.TAG,`Malformed Nalu near timestamp ${lt}, offset = ${Oe}, dataSize = ${J}`);break}let je=qe.getUint32(Oe,!Ye);if(Se===3&&(je>>>=8),je>J-Se){y.w(this.TAG,`Malformed Nalus near timestamp ${lt}, NaluSize > DataSize!`);return}let $e=qe.getUint8(Oe+Se)&31;$e===5&&(Ze=!0);let _t=new Uint8Array(G,Y+Oe,Se+je),dt={type:$e,data:_t};bt.push(dt),jt+=_t.byteLength,Oe+=Se+je}if(bt.length){let je=this._videoTrack,$e={units:bt,length:jt,isKeyframe:Ze,dts:lt,cts:Pe,pts:lt+Pe};Ze&&($e.fileposition=_e),je.samples.push($e),je.length+=jt}}}var ye=ce;class he{static init(){he.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 Y in he.types)he.types.hasOwnProperty(Y)&&(he.types[Y]=[Y.charCodeAt(0),Y.charCodeAt(1),Y.charCodeAt(2),Y.charCodeAt(3)]);let G=he.constants={};G.FTYP=new Uint8Array([105,115,111,109,0,0,0,1,105,115,111,109,97,118,99,49]),G.STSD_PREFIX=new Uint8Array([0,0,0,0,0,0,0,1]),G.STTS=new Uint8Array([0,0,0,0,0,0,0,0]),G.STSC=G.STCO=G.STTS,G.STSZ=new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0]),G.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]),G.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]),G.DREF=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,12,117,114,108,32,0,0,0,1]),G.SMHD=new Uint8Array([0,0,0,0,0,0,0,0]),G.VMHD=new Uint8Array([0,0,0,1,0,0,0,0,0,0,0,0])}static box(G){let Y=8,J=null,le=Array.prototype.slice.call(arguments,1),_e=le.length;for(let Pe=0;Pe<_e;Pe++)Y+=le[Pe].byteLength;J=new Uint8Array(Y),J[0]=Y>>>24&255,J[1]=Y>>>16&255,J[2]=Y>>>8&255,J[3]=Y&255,J.set(G,4);let Me=8;for(let Pe=0;Pe<_e;Pe++)J.set(le[Pe],Me),Me+=le[Pe].byteLength;return J}static generateInitSegment(G){let Y=he.box(he.types.ftyp,he.constants.FTYP),J=he.moov(G),le=new Uint8Array(Y.byteLength+J.byteLength);return le.set(Y,0),le.set(J,Y.byteLength),le}static moov(G){let Y=he.mvhd(G.timescale,G.duration),J=he.trak(G),le=he.mvex(G);return he.box(he.types.moov,Y,J,le)}static mvhd(G,Y){return he.box(he.types.mvhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,G>>>24&255,G>>>16&255,G>>>8&255,G&255,Y>>>24&255,Y>>>16&255,Y>>>8&255,Y&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(G){return he.box(he.types.trak,he.tkhd(G),he.mdia(G))}static tkhd(G){let Y=G.id,J=G.duration,le=G.presentWidth,_e=G.presentHeight;return he.box(he.types.tkhd,new Uint8Array([0,0,0,7,0,0,0,0,0,0,0,0,Y>>>24&255,Y>>>16&255,Y>>>8&255,Y&255,0,0,0,0,J>>>24&255,J>>>16&255,J>>>8&255,J&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,le>>>8&255,le&255,0,0,_e>>>8&255,_e&255,0,0]))}static mdia(G){return he.box(he.types.mdia,he.mdhd(G),he.hdlr(G),he.minf(G))}static mdhd(G){let Y=G.timescale,J=G.duration;return he.box(he.types.mdhd,new Uint8Array([0,0,0,0,0,0,0,0,0,0,0,0,Y>>>24&255,Y>>>16&255,Y>>>8&255,Y&255,J>>>24&255,J>>>16&255,J>>>8&255,J&255,85,196,0,0]))}static hdlr(G){let Y=null;return G.type==="audio"?Y=he.constants.HDLR_AUDIO:Y=he.constants.HDLR_VIDEO,he.box(he.types.hdlr,Y)}static minf(G){let Y=null;return G.type==="audio"?Y=he.box(he.types.smhd,he.constants.SMHD):Y=he.box(he.types.vmhd,he.constants.VMHD),he.box(he.types.minf,Y,he.dinf(),he.stbl(G))}static dinf(){return he.box(he.types.dinf,he.box(he.types.dref,he.constants.DREF))}static stbl(G){return he.box(he.types.stbl,he.stsd(G),he.box(he.types.stts,he.constants.STTS),he.box(he.types.stsc,he.constants.STSC),he.box(he.types.stsz,he.constants.STSZ),he.box(he.types.stco,he.constants.STCO))}static stsd(G){return G.type==="audio"?G.codec==="mp3"?he.box(he.types.stsd,he.constants.STSD_PREFIX,he.mp3(G)):he.box(he.types.stsd,he.constants.STSD_PREFIX,he.mp4a(G)):he.box(he.types.stsd,he.constants.STSD_PREFIX,he.avc1(G))}static mp3(G){let Y=G.channelCount,J=G.audioSampleRate,le=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Y,0,16,0,0,0,0,J>>>8&255,J&255,0,0]);return he.box(he.types[".mp3"],le)}static mp4a(G){let Y=G.channelCount,J=G.audioSampleRate,le=new Uint8Array([0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,Y,0,16,0,0,0,0,J>>>8&255,J&255,0,0]);return he.box(he.types.mp4a,le,he.esds(G))}static esds(G){let Y=G.config||[],J=Y.length,le=new Uint8Array([0,0,0,0,3,23+J,0,1,0,4,15+J,64,21,0,0,0,0,0,0,0,0,0,0,0,5].concat([J]).concat(Y).concat([6,1,2]));return he.box(he.types.esds,le)}static avc1(G){let Y=G.avcc,J=G.codecWidth,le=G.codecHeight,_e=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,J>>>8&255,J&255,le>>>8&255,le&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 he.box(he.types.avc1,_e,he.box(he.types.avcC,Y))}static mvex(G){return he.box(he.types.mvex,he.trex(G))}static trex(G){let Y=G.id,J=new Uint8Array([0,0,0,0,Y>>>24&255,Y>>>16&255,Y>>>8&255,Y&255,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,1]);return he.box(he.types.trex,J)}static moof(G,Y){return he.box(he.types.moof,he.mfhd(G.sequenceNumber),he.traf(G,Y))}static mfhd(G){let Y=new Uint8Array([0,0,0,0,G>>>24&255,G>>>16&255,G>>>8&255,G&255]);return he.box(he.types.mfhd,Y)}static traf(G,Y){let J=G.id,le=he.box(he.types.tfhd,new Uint8Array([0,0,0,0,J>>>24&255,J>>>16&255,J>>>8&255,J&255])),_e=he.box(he.types.tfdt,new Uint8Array([0,0,0,0,Y>>>24&255,Y>>>16&255,Y>>>8&255,Y&255])),Me=he.sdtp(G),Pe=he.trun(G,Me.byteLength+16+16+8+16+8+8);return he.box(he.types.traf,le,_e,Pe,Me)}static sdtp(G){let Y=G.samples||[],J=Y.length,le=new Uint8Array(4+J);for(let _e=0;_e>>24&255,le>>>16&255,le>>>8&255,le&255,Y>>>24&255,Y>>>16&255,Y>>>8&255,Y&255],0);for(let 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namtGmOr5KgxRL4kIjxUEujo8e1A6Cuj0Zp2qO1XqXy1vlrCil6Oj5clTFKgKtlRg2dvEyiwSYjMlaUzgUiw/i/ME4SlV5MqLnZSBXUglIO4TclRL1c0ZQo8VVPZVVn3ctEQoiZEQutyluQaqeJLoGSKFRLBJNniZLenvi/a7JHSv23TtR+RfBhj7qtU/dP8AvkHavdIyVRAjXzFpwMLoYmAFFSkKIzZSp4peIeKgySxRqetNA9Evh3H++jT+dSUhmn39f9W1dWe1WFUZlKnk6urr/NaMJWXgrHBQdCEqCKfQ0pQCoiK5WZVCQlBcM1pE/ezgu5uFkrqtguqlqCKJ4DSoGLpQe0yHi6EujFHowlSna7bcXT2/Y4FW117qJM6qwkzIqTiHloAxo4l4KiIF+v2nU4p/dypafZo+J8qdXkWXwLDHaMZR/d/L/vjkMaUd4Y+aooT7ucYJv8XX1W7CSGTCs/T0OD+hdUuqH9G6KZYZo+oitHontxfF8Xx/3z9P+pa9qffo6Ojp98YsBH+pBGunKkDxNaVdC+LPHpddBRjF8EiUBOSmFkPqJoaflompCWcauigMVJVRilAxwfHto0nE9ZMcM0xVaqTLyYEySpt6pyqtapXkQnnB5BlZac5GUgE0pqxk8GKJcGt2v2u0WqF6iNTD/KX5fmHA8Ffd26eOC4k/efcTqn/fGBXsEkpkR1jGIgCKVPS6mJ0khFIVtRmD+gLGT+mf0r+kdVP6NirLDL1L0D0Hb2nxfH/fNr3oe3F0P+qKOjxdOwKO9HR0/mOLo6fzmrJUfvHuO+vbpflQMRrU+VJTFeZFX9GFaPy1dC6FgCgxIToyFpfsNGVE9Dqp0U8Sl0IZGI6Q60Yq6NOhUAD+WpAEMhEdlRPu8EKbdSDcL9rshRCMioRENPH8h9ry/OH5FqavuT6yfcs0cy4/3wjskVhSmolToKCaMVCfpk5BQquEJQ1LSWkUZ57OL+hf0L+jdH9IGaMUZq9GXqXoO3F8f989T93T+bp94MOgeIZSGUOjp9yp+7p2o6dvNmj6XQOlXjrTWjoaEKHbX+e8+2lfJ01opKetD1dVNKkxiW6t1O4ujOonTIJeRpU0R1k4hWlRx4kMvR5pwDrrwZxAyQwpIaSS8CxEWI2QkGsbMoJzor3iTJU0qnxdkoe8L9rsHJ0NCsVeVNfIhn2xw8lNTUyyxxOqfuW8nKnnFJv98HDtAsJKosE1BlSgyI/xlFU3LK6uk0I+gW6XABMTAiY5j+mdZGTIy/ouxyfQH1vpDNS6vQduP++6n3dOwxfT/M6dgohlZLJr/PVdfvUdPu6/c835eSlZOvbz7aV8gww6vz07pAPev3qMA0xdCHo8aADXBIHQBSBLrAl5JYUA+aWVKoCos1UahgpLHBTUhTMdHgGMXaq+mX7Xbg5jkhxqKh5EVfFWKuTwCuC2rjx7E6JGo/dMjtTtN+8/1eGeLjjcUpS8Y5UqRz2qFUzMZneM4abSSohTnFb2IRcKjQTK1SRl/Qv6F1j7fSs1fQH1vR6vR6l6Dtx/5FapHbi9QadqPEvEujp92jo6Ojp3NGaPQsvTtp/O6VrVojUs8tTot4qrQuhBpRg1dNfPV0UWNWeWAMXUMVLFXqHOikGhdQ/O2P0q/a7eQV0KijECVFIqXwB0cS4f0erqPtEalLRwpUAU7J9gsvz7S8f9X+bSnp9h8vQqMiT1OiZ2Volf08KfoJH/ABlL94DPLUaLf8Yf07+nf0r6n0OqH19qhmr0/wB/mjAfH/VWLxeLxeLxdC8XiXR0Lp38qOjHS+Yaqmkkagosgun3aOjp9wIKnJbqidHR0+7w7CrSaCqe1e2napLHLKWaV1HYKKR1KYglITBJRKVUJoIrs8mryfBwLpKv2vuFx6iOqXq9EuP6NPsP2H7LPS0oJZ0atGpoFS6uneTsf58fzw7AVKk9NM11UpBNHR/RztUhaULDMiSwhL/jIZUl1gdIXSJ0if0TrG6v6R0D6X1Pper0ep76n/fYPucXw7p4J49ktPSfYUoUUtP3zp2pRKhiCkjtTSjpXsBrjQEaeVNOLo6M6Pi6F0dfv0q6OgdHR0dHQujo6Ojo6Ojo6Ojo6Onejqf5mrBdavpaeW6xBlaK5vJ56d0SYGS7vJAVlboy00cntOri9tftd+PZGACFh+XBool0ftP2n7TRqfafF5BwK68S6U+5L2P8+P562sedFInFcKdTQHFWBU/YeOTJimZM0QxhUybhLygU8Uv+MOs7qp1dS+t/SvqfS+l9b07asdq/77hw7jQnuDR8XxfDsFPUAMMpBdCn71GCUsKS6aFLr3o9WFsKDKAXioPg8g9GUvqSxI6pICcVaoJKFvFmtBi8QCXRlLAevahHejxqcXi8Xi8Xiyl0dGGjRZTVVHR0dNKPF0LUjB0PalTSneGMSrntxDIykoJ1PZAyK0JSoceYrGoYGi0l0LwKmEhq5QIoFL9r7yTiUrSt1q0aAh0Kn7b4tAqpT5bwDgpzeP3Z/wB4f9Vnui4WhJNTANB1uqiK4OhS6IlZWFMJlQCqJTCCGVSh5Ql0heIfU/pH19qJfQ6h9fbpfUX0h1J/34BntWj4utHR8O3B1CnqHR6F6pdQXV+Q1eIZSQ6l6Pg+Haj1DzdUKZjZCkuvfEF9YeWLzSWUJfKU+oHN9JeCXRQeag80F0S+oDVjjo6B696uutOnFhJLAqyOxpQ4YMh8Hp2xePZNOwo0EABVExq5ci6qK0mvknpdrZLulLjoTHRkdITpWjkHVGmMtWCpQlOSsKDRykFVvbi5JoHxdSBOC6h7cqyXJuEUHvaySpCaNftfcDp2jpVjRGgZD1PaMa+y/ZfBwD6Tj9yJOUkislf6qDV3818aYoKcnkS/YYS/opmpciAEILUuUP8Ai6mErDrO8g6xP6J/RP6N1jdQ6qfW6PpDqe1Xq9P99FHw++C6duDBBeoeinqHx7BRDAr2opL6S+pLFCyWKuoZQHyy9Q6p7cXwejxq+pDStTqhTwDwU60dWo69JdKNOdecoHKJT5QLwWBktLTNicwX0E0YrShJ4DN5DEFgpahRLUBjjqhJywFFLLpr0h6Yq9oxKCFqyKY8mYyOyYzIe1NUgfcK1UmkXMvyaVlDUqrq/KvZRQ8FqRVRWQoK89a1oYpFZkHD80K+RJMqqQGk4uUiK1KU0Ri1+1/MQyqUVF+dHpTVxg4d4QMfuA4x/wCoR/NBq7Di8chXF4l5EsaMJTIStC2BNGPoFsJmSyt0gLxL+ndZnVbqp1U/pH9K6F9DqHr20ev++zh98Fkdwp0BdXi6unbNhLql0Ul1SWMkvoLqoMFLOj9plCWUKS8iwR2q8hlk+guigzIoPnJdI1jFLIkYUXmXm6oLo6yY8xYYkcaY1tUYDKaPqoSWCWTUZDt5kl1IZJ7JUyp5VGVGpVWogJrUrWvkn2R+5rqtNHWhy1iKQqXDmZBl1BdaPIPLIjgeNPuVDJaTkedJEhIzVUs1q5A0pQqRQo5EITHUByqJUmpK1ddwpZkorGO1m91X7X3kqxJOpkkoheLSqqXrWjIHJ496BNu9AytilZZOYr/Vh7Di7ZZTIYwp4qdSpgZn6OYla0tKGqR4xF/xhLKw/oS8Y3i6KdFuh7aPodQ+p6vT7mv++mvbh96jBo6VfB9KnqlhYLxo6h4qS6pLKTR5sJqyWEvIsUZYCgzUkSSBiRD9prCVNSFB1U8gxVkkPpfU1ce1SHzVOqT9weyRTsk0MkhUMi4lVhyBKS8cXy6ADUkFpoVtWOKQhQojEx0CU9GtbiGSMPBdVLJiqjl5RJRnkyktAKlTRqikosJJ1q+qqdXNimUloWwt5ar5kZz6kmgu1xrmSlCmrlhlFEhQojMdlSJL4tbRIoOPNa69FCSqipru1VbXBHVNDVKOZjHLLyV+1/MVdGCQxcLYnQ0YyORfML0DjTzV3FwgqMp/1NV1de9XV1dXV17hhJJi0WFcspmJI93nWqGOQmCRb5V1C+SFvC6Q8Qpm0oik4ZLyidYn9G/o30PodUur6u2nbV6f77K9uD4unfg6hToQ6gspYUQ6BTClIYUlTwIdQXioPIPEqf5RIun0Sn9KB9Gp/SoGSCxkzR41axHTmKDSpNQlRakIfKUX1Jjq9HMvNXZVKuM4rkIK2kVU0cZOQFRJClqSQcFUAUkA0OrNSGlSqnpSM0GNSaeX5VRUgFShMY5egc8xUFq1SteQilMfS7mNUTyo5ZNQsg/STK5qsSs5BVHnViGQwqUK5BpKXVLCksG3XbZB5ChUmnMoMg1TlUOXSZKsyKUQujXuCPed0nRPeBwy8qWuiRRKyc5Cfdnb3OL5qeWURCNftfzcSLY2/BlRPccTNigcblNsEf74Kd6OHjwdGfpCohZJWgJBZlYSyqUOsJeKHSV1mdVOrq6uqn1vq7dPbX/ffw7UYLp9wKo6BT6kvpUU9DzeALC1JajVq6XzHikvJYfQpkKDClJfMSTRFSpaX9Epjmh5xljVnR4oU1IkSedKkc2JTBSQY1tQAdXV1D0pQlyR4EtIq0lIQCMkqBVilRQlq6mUKCY0/R1XXmEFMnTmmiTEVL5T5iWlhL5apU3fvL4JB6TxWsGKryAVzTghfVd3JleReRdWF0elFFGWSH0MXak26iC9GKdvPLQ0enfR6UFKU07FbkVmYuW14g8BbKC0TUzUo4hQqFPLVJJa/a/nauvav+rT/Nw8eDOICmSUsBaB9CtqMyU/QqYTIGVLdYi1YtOrop/SPrfW9XR6Pp7a9tP99/Bgsh17ahjVmNXYLeILyUk9KmRpmX0qNVOgLKSGFLA8klSXmC8QpqSodxo+Yp/RFo5gebrEWvIpOD5dWoKQxNNQyRukBfJJZjWA81BpWtTCn9CXjGwkpakLSY5VoQiQIEy1VEq+XUl0IPAANOi+PagIR0srAcsii+bIl8+TAza8yD3WsD/ixIED5aWY9OUp4SUKFDsiRaUqKsup2kRuJtxsl2DVw1Yq9WCa1LKnkHUOqXVLtJrWJzy2shRPtwsOh9D+jZVGTRFBgGVpcGDuBGpqUnAlNaiuQrGepftfzdHi6f76R2h9rV1AHsJGSAAlRUplHSlSQKRFgSMmRqIYo/o3RDoh9L6X0uoer17aOhejr/vpHfLR0eTo9Q8gp6hmY/c5heKVOq0MFCmUFpWtLyjUwOnpeDp3C1peaS6JLKFBntRhciWV1fSxJMGVoLBFKnFQQ8XjR26IzGqZTzjL+hLwNcJEs6nGrTzEhClrj5iSVcqoCKcsvBTABSjGmUaRCuMAzJKeYoPmKoVmhXk6upepeJpRLSgsplqUSOiMNHp25kjzXUrLycMvLk3G7E5JBfS+l6ONIK/0Jd8tacS7M2mSsAtVKxW65Y3Wiaur49hxKaMo1WlMEZ9oKNDxHHzi9tftf79g7dAkkj0XSpyNPYSE9KcJipUkRCY5WlRQ80liNKngtLzWGde9Q6h1Dq6l6sIqykJeX+/AaGvZKilg1eNXHWuIUMNAhKGePYLUGMZHiqNiQFmOgGh5qmjlqalqSQULa4yl+UUfNUuPBQKktGCrcctbXGUfdyUwUl8HzVsrTTmUHMSUctmo7BNVJJDClk5oqEpLUiSJ8VLRV1HL0eofMkpzS80lhSa8ioVGUnV1Lq6h9JfKLotL50r563zUvmRvmpftPBTOjq665B1DBaypT1erq6tFwsR/plXusqipbFe4Vo81FPbTFhgu0TWSdZVKeMep80jXzi9v/9oACAEDEQE/AR41Jb+iE/sBTpekuoj4DGd8FyHlpjA/kxHcP2G2/wBglbEn1b1GlNaU1rTTTTtdrTXfelh3fk7ndLxSSB5csN55cG0Coh8scQjmlIOc1jkjxoWflGg7wn9gKdP8DlkRMRq9JCP9plt8oyAeA+5JOWuT4RkBG4N/s9fQI15bb7r/AGS2ka7w7k5RdBtlKuSzP5OWVCy4SAEFE4yunqZ7sJKPCTTnJ21Et2323ofGgT+wHX3eOUmvKc8j/T/fH+Fv+0f94/zthA/3j/eP95oTG+CwoCg2NT/oEvKC3rTX0iLDEV2XqZR/Nl1mIUjq7FiP+vwnIZcf79bl4aLIkeqK8pyAGkZH3mfUCvLLqcpNCLiJ9S8H0ZylXDlyyEMgR4c/hkbgCgtv9G9cZ8jUIT9Y6Rlu50nliDtRl9R/vH5hMr5P/Af8P5F8ef8AeP8AP6oj6/7x/sHn/eLa/N/r/oO29Lbbb1tvstvt3j83c7nc7myiykWnCD5Y44x8PsRPJRGI8JZH8m9CSEzLvZ5CDw7pyNoxn1cB5ILGLJ62A2yl/Qo8OaO4Ih9hBfVif94/zoPH+8f1QhCMQjnOT8x/tNYy+8w/3j/eOEJ+ie0pd3l9+/u/3j0LL1v/AHgeh/zP9D/vH9Qjzx/v3/OEUPH+8v8AYF2/0/2js/og01/vH/AUft9ttt9vLelttttttt6XpfZfZbaZyvhjuaSksik8s5keE+Wrdsn+hTOPokmJtgT6hEZvXYz7Mv8AAUeEuHmHKbBr/eP94/36iXr/ALx+f+83HLiv949QxP8AvH+sgsXJ/vH+xQdNo93d/RCfrHTqSd26H+8f7xSMlceP944/1xw+5Hzf+/P95hOTGByR/vj/AH49V8jHGBwT/sf9i4c8skbAP+uP98uw+o/2ARj/AKf7Buv9AW2223pbbbbbudzvdzudzudzbbudzudzudzaNb7SWRZSadn9X2v6uwJxx8lIA4apkznslEfmxEvV6uP8uX+BHhKYG+C54hB/3j/eP945L0mD2pzIPk/7x/vj/Xf8H+8f7xwykPP+8f7xyES/3j/eP8LM8WhtJ+4IKe++W9CW9S5clEB5/wB4/wB4/Ow/7x/9qf8AfDXNf8BH+8wx88f7D/eTKMT5/wB5O01/wB2f0/2Dt/p/sHnttr9nKdL0pr6ttl3F3l9wvuF91919x9wom733H3H3He7m29SHa0l/zNF2/mmP5v2+rMAuXBCcfuCBYc0bgbR41ni3NEef94/3j/gAYnk/7x/vH+86Ho3/ALx/vH+8cMj9p/3j/eP9+MacpjsLvOhP3hinvPZbHTBjzDJKWQ8OaVzN/wC8f7xy/wCH/eP6f5/If6/7x/gl/vNquD/vz/MU/wC5v9j/ALzRfp/vN2j/AHgPH+8W8IH+8Vp/g/Zh2eqRrX0L0505eHn0d3+M/wCBP+5g/wCAtHy2yLbuLvd35u5EneiZRMu8vuPuUH3X3S+6bpjlsWzziLHMCLTk4YZCnI7g2bZGMjTPwwkdqes2kghyR+xHjs6iMvxBh+f+8f7x/vHCD/vH+8f7x6fmzl9v+8f7x/vBb/3j/eP948/k5j9h/wB4/wB4/wCAoKC443IyQnvKOyHnSUqNl/r/ALx/vHj/AGLX+8f74P8Avgvr/vF/79DH/cv+w/3kx/3L/sP95JH5/wC0QR/vBef94L/vHl4f8DX5/sx7C/4Ui08edP8AC01rTWm1p5drtLQdv5Ptfm7D+btLIAckNg+rtTD83204+X2ymEmOM+rtKIny4onyUCTZI+1N0gEhHLVsPtFOQA+WMQHYnH6oCAU+aeN/Dv3Cw4QRBydPvnG/8LkP2o8akWmAcuITZYcg9GV7qQUiUpiA/wALHEfVEAGMQBQQnuKQgJDtKAgJc1GBi/zIeOf94/3j/MX3ojg8f7x6/mEZcZ4v/Y/7Qu+N8n/fB/12WSI4kf8AXQfy/wBq/d/vFNH/AHgNftRD51On+Br/ABX+nZTWl/m1+WnDEW1zpwX1p8J45TKwUCNIx8mk43mm+GIsp49W6HLzuFJgTyxiPAcULjbHHIxdsqpiOH8I5Yj+iYi/DlA/J2f0fbO2gmJ4plBOL82NmQBDLGOaZR2s4yG2v8D1GKfEoejPx9wR47oYjEkk3btaY4xHw4cWyO0m9QnUl3O53JLaDoC2kuU/YWP+8f7x/vHHHogfl/vH+D/eSB/vH+8wiPHH+80V6f7x/maJ4LQDw8ftfl/wt/noYp/q/wCHspppoO1kHkMSC7RfDy7gjnw8jlkbctU87eEXYiGETZt9sPtjmn2wx/NhjfakzsVwjn0YwjyHDGMRSKTD8na5KJpjHhIaaaZ2B4ZzPHGm0XdMojduc8LxsZbox4drkH2o8dpKZEIn3BP1DpOQNxaf94/3j+v9Q191ev8AvHqx+4EMjX4mI/xUhovLWm6/DX5/s/l/oU8I/o3pt/JlxyXmmgRwmJD6INu31REoPo0HaD5ZY6CMR/ssRJoCX3oj+TyHdJNT4SAJBxA8uwssR9WWGG6yiEUQDQ9UgOwogQgV5eCmCIM+mvIJIjSQ9TmMJfcXHZiCUQqW62d1wyeG2cSyvJl9v0DKA22ngOQ/YX//2gAIAQIRAT8Bl+LWEbaQPRI0PaUfVHZHSvUo/o4+gyH7p8M8O3kch6eP28hMvycmaPi3JLng9g0l5/0FDb6s4x9O222222w2Gw7g27ne73e7y7j3BDbtKIOxqP5oiT4cZ2Cg5CSbJSWJlKL0sbzR/wALL8WkBy4fCQkMh66Vx2lH1R2RfCPzL08Acc8gnVf7FMifLilO6xuM5b2/7x/sGXTyl5lf+8f7D/O/psfj/eK9T/vJHS7qjEc/7xTLBOM9h8u0+dBpPz+301+wnu5a0pGoDtbPojHk8l2f1dl+GDGmYS8h6TjPH/Cy/ExgS9HAe5cxdejsA4H+8f7x/vHlI/3j/eP944SED0aR5SKNJYC5VoUfVHZdcBpl0g31GXH5nhjjB4iw6HHE0ef98j8x/Ufk7RWyP+8f4Ymuf6hMZeo/2v8AvkH/AGrKX5/7x/tf9gE+a/3j/W8n/OjIYndE/wC8f1/q5hIyMi7ZBN+qEMvP+gqa1tvuDSdIyos53rT/AIGtNkkYZPtf1dtIiGmMAWmML8JxIwFj0xfaosofkHYXHCL0n+URH9Qy/E9CImZ/wMI7csolI/3j/ePy/wBqmN+E/n/vH5/7ydtf7x/vH5JCXqIUIz/May8pR9UaBzYhjOy7fLi6Sco+56f7yq/9qz6QVsmaA44/14k/mDflhiETURRHoPI/rH/GiUfcCI/7Dkf8S+R/mZZB+En/AGP++JBO3+n/ABYg3+H/AHj/AFgH+n+8f6w/3yW+f94/4AH/AHj/AHj8y/7x/v0pH5JFaS8/sA/Zq1ppprs2u12Ox2O2KREaCdeEyJdxSSWmMfzaQij5RGIaYxFcu2NUHdQZUyl+TEccPSfxo/4Qy/E9HkEJ2fyZZgcwMfVI+3/MWcfP+8ejKHNf7x6Bl4v/AHj1Zj/eP9dIZZ5ZOj9r/FP+1/4Brkx/yIZP8I/1uf8AfKUfRHYNIpwmo7fUX/tU/HiP8o/6/wDnkP8AW8OM8R2j/N/WqnE/4WwBYPA4v8v9yzH5fkf94E6EQJeP68j/AIJkPH+BkDPki/8Ai7/i4cpy1xu/2Mv98hOX/c3+x/34kGXn/fJ/2rI+n+8f6wT+R/3j/ME+f94/3gannSXn9uvsrWvoANNdldgCIojFNaAIDEBiOGMQWKCPV3xfSwxifViLZf0KTG3opfzY/wCEMvxMT+b1f2Zrh/mRtMdw/wB4/wB4H/tN8lMPQ/7x/Z/3l/rvUQo7j68/+gn/AHmzjXH+8f2v95Mo+f8AePzcnAt6cExI/wB49GUWkS/1MYn0P+1B/wB5JR9UIT54fjYROP28/wDmP5XX+w+5l05lyOb/ANj/AIw/OwfuDLp8vgxu/wDWl/vKY/3j+v6fPI7hE3/rS/z+knovhsmUkk7f8HH+vF6voceGe2cx/wASn/2llmiPwy/4uKeo/wBzf7EtX/wAn/aplXn/AHj/ADB/3j8v9+vo3r4Zef27b2U0007Xa7Xa7Xa07Xa07Xa7Wta0rWkBigNu93/0d5dxY/m3bF8gpp6KX86P+EMvxIRmG0iQviv8D0OSQoHx/vH/AAH8vX0ZR/3j/eP6c/4BH835Hqfex4ozFUP95j/abv8AWSP8b/ePz/8AamGMk1/vH+8faU4wDf8AvHH/AABww+/aP8H+1H++GVIiWIvHL/MzFI76a0AdrIcIYvSdPvEp/kkR9fHP+t6/8W7ZD/Amz55Pnj/0OP8A7UP94EpcbjVH1/sn/D/ilyngCfj03cj/ADSDHJlHMb/2EwnJG7sf8XB90/43/F6cp/P/AIuSQf8AeCXkf7xT/gfX/eC+rtSfy0l+1W2g9lok227nc27mw2Hh4aDtDtDtdjsAdrtdiYO12tNNNa3oA1paD+TywJYyO5kSHpiRlj/hZfi1w9UYVQRKMhcT/vH+8f5r5lI+HIPsj/vH+8f7y3H+0mP+8f7x/vFzccfvH+8f7xf/ALUz3A1V/wC8f8B/13pMeQ54WfUf7x/vH5vtAeEhjH+TI/4P98uU+iPoHsnHhD1ufpZYMcMMal6vQ49uAAeT/vA/2NIIA48f7Gh4l/wT+GQT521/Wh/tYH/2n/eAJEkyj5/Mef8AgqPqwP8Au3/xbx/xaf8AfDPZf3Vf9QYn/YcPuS9Cf+Jgm/8AeKTf+8UmX5n/AGL/AIP9p/vNJ/No+ruA8JN86y/a60EtL0pv82+y/q07Wna7XY7HY7E40Y042MOUwDsdqBwwjTHzy5BUkYgacMv5opl+LQF8vx2WAPtzc1cRH+8f7x/Xz6mXhlH/AHj/AHj/AHjkk80HBjvKP948f7x/6CPQpj/vH+8f5q/wR/N6OH8+P9Of9b/eP9okMh6vUT24owHrz/vL/eP6pR3hkx0BZ/hY+XFjMwYhoVt/3j/eDzX9QGzd3/Xj/wBCj/7VH/eBKtvpR/4lP+A/2S5DzU/+LuD/AJpev+dyH/dz/i4f+1BEj4j/ALCX++CyB9R/xa0P94DX9P8AYP3f7xQZV/aP+xd1eG2+yX7XelabkdlaX2jS3c7nc7ncmTubbbGlhsJbTyx4eXcieloHCInbZdtHlzEGbHLwXD/EDL8WsZGJsIzy5o09N1c8XB8OPrcEvEv94/3j/Wce0YzMevA/3j/Yf5/8IZBgYYsUs8z/AEH++f8AYf7VydXH+yyyyJss5mct0ko7gxlFkQxIQYpIZSY+Xo98cscg/N/kZjR+0/7D/eYPHHn7h/VPR5JDdAiX+AgX/WPqJfmK5Z9LnjczE/1Nf+hR/wB8h9rJEcRNf05H+seQ4umySuWKP+sa/wBgWcD/AG/9iP8AeT9npX+xdw/3gu4f7wWx/vFvPef2m29Kb14Q23pf0b1Ol6bm0y5TLltJ50LZ/Nif6ok7+bYyDGSMrfCJHi2zJsElxZY8guI/eKZfi7s3UicYiMQK/wBi+5zZTJy9RLJW70eq6gZsm8Rr/BqUaiKIPtpgiLtSKQGUXYiL0v8AFizqv94/3j/P6Hn1Znzf+e//AGr8j/uYMpGxf+xPP+aXr/ncmUmVT8/14P8Ar/7zZmX9r/Yi/wDYh3xiLH+wJd8iL5/2r93+8APKSf8AeC8a12H9mvuGlNaDSkN6XqO229D5dyNCSy50BbYlkjW2IRBptiTt2uLiSY0Sn/C4fxhl+LtDDGCyh+SO0o7Lb77Ynlw4zEwyfmWUvX/eP94r09Rx5DzfHp/sB/T8x/QpkBDf/ZP+t/xL/vJyDZKMvT/X/wBgWA3c4/8AYWHLL0nf+wLGQHFIlE+g/wBi3H+jYRcvDLHt/E3+SSew/sv+FHdbel+jv7AXc2EyscNnSmkWybdzZTIu7XcHckpLvdyJ8JkiTCJI+0M/KTxTH+qHlouOXoiO0bmJ+6kDlxD+YH//2gAIAQEABj8CPz/mf4P9/wDq9S6APTtw/h/uP/b/AK3Wn/Is6PX/AH3VAevan8D4VJ8y6fwP9ofg8Xr3Hb5PJjmKxDkxTnXRJU0itAjhTsOxjakL0I417JZ+f3/V/wAB/wB/uj6u3xelaPjV/wC3/W/L/eXU6fYD/A/+Sf8ARfDX4P0/5EHX/UGNA8u+oq/j3pX+Y1r/AKmAoBT0/maDvXtlTR004fN0FVeQq9dNX6s40GtXTiol4mnbQg9q00Yq+dyl8qvtU0r82M1pyJ9lOtAwuFGdP9N1/U+SD0Vyp8fvDPUeeLEsCeVQUFGsk1J17VAJCePwZ+f3/wCA9tftfy7fL/fx8XRIo9e+uvo+np+Lr/ol/wCg6sE8C8OLI9HX/kQvj/qehP8AvjpT4vWmoYYBHF8Uin+38WaLUqnCgo0Hkamh69a6emmjqVBHVwHl+DzoaevkzlinThxLFdaaffzSlRSTSvk44rpaIcwVan2QPX5tQ5ipo06JKdKukSKn8S4uccUK9jI+XrT0dJVquIwP730VP+V5fYzFEkCvE+fyr/c7gF6Hvk9WD2kX0hE5A/laM/P7p4vR/wAIev2v5fwP5fwP5dvl9yv+/PVpEYofP7mI4shdQoOuh+10JSB6JYy6ED8SwteiBwDM6/sZUeK2Ih56vFWnqzro6/78+P8AqGn3a/zlK0+b8j8v98OgGryBpR1dB58K6MpqafyWgY8dTmaAtYBQPsr+DUlS1mtNBon8GMU09S8k0Sfg61J+bPnR1NAPixr83RIqSxDy8VKFerTRqjuLhCMBU0+PkGqoXKfyjy+HozDbWoFfblpU/j5ONUk6UQooEEnGj0nVcKOqyBT9Zf0EISKU6uo/7f2MIy0ApQaD9T0DqoUq+P4MU7fQxqXTzA0ZTKoA/DX+BmlV+ldGSjpr+y9GJFqCEn1a1TVWlPsD9r5uqEBOfGn8DjStXSngPLgz8/ukSqw0rqz5/wBx+tP1h/L+B/L+B6/J/qf6mPw+5T/fdp97V0SzieoeTonpkHr5sCUYq/aftoX/AGnwjftpT/ZDqlNf5Snr9Ir9Tyk1P7Lzk4+QfNPtHg8l8f8AfpoXV8P9Taf6p0/mPpeD+grT4/zVHxr24fi8xofg9Vce2jHlV8X0JK2udCcUDidNPkxzJEjPiAa/i1dSlKr00FB82kQWwFCKqNVVP+i41qxhUoKCCKCg/Nwq1e93tcadSKqrXyDWTFJL+xriKfyqOltAilamRX8GrUJpSqPLXliiSwYYziP2zx/Bk6J+WgD4s6fi+PFhKKn5MlUgT5PqBUX0JFT50q8KqCTrR8ymjyK9fQOqk5H4vlpNEv4PIs+o1aR8/wCBn590ujoKg+imKfZ/cenzH9Yfy/gLp/kv5j+B/MVZ/Fn8fufL73Vw/wB82v3eZoAigYr7OOtfV8vyrV5p8uLFxB7Q9oPOM4SejpcIxV+0HREoI9FP92gv92n8XxQn5PiqR60jD+jH+UXp1qdV6q9Hkvj6dqn/AJErjw+7X7uv89qC/j5VYBdctfR+X3Kvi+L9O2j4avh9wGh14PFWh+L1I49wMDrweShj82hUqhVZ4cWOZOBXjT/QqypKJJRWgZSi3TVWvV5D9TWeaIwPU+fwowrPq/ZpoPxYwStaPMev4NeMUaa+atSPl/wzRGZNEeyB5U4MLlrN/bZUAKq8h5fJ+X2vk8w4Dy4B1I1erFQB8mHR8aOqlVdSQ8q/Y9E6+rCaBI9E96OiHi6EvA/m0LCU/H+Bn59w6ng6a/FJ/hDp9n9wvL/K/uun+T/cfzFfwZPxCn8jT8WPwY/B/MP7H9nYH/feATRyJPtg6MSq1HBplSckKfOg6kHiP7rztjir9l0nRir1DpHIFD0P+i+qEfY/3SnpEp/uwPm+qQD+y+hJV8S/pFfYH0DEerojU+rqepTyXxeS3mp5K/360UHp/vn0768f580HzYNNPVqJKR5Omeh1ox1V/qf5jr8nQwnI8Cav90nh7R4/raM1oSOOlP6nkqUnTjweRJJZJi5ijwyOjwSlIqak01fUs8auqzm66MUoKMklSi8tB83TQPX9T4OlNXQfYA6Gr4Or1fB8OxMfAfmPB+9Xs1EmtANNGeQmiBwrqT8XVKdHVkOnm6DuCGAP9vRn59qMOrFPL19f9F0H+35h/M/8GDr8Afwf+VT8X/kn9TPyBZ+YL+SmPgaMfgww1j4Zfh975f75EpR7X5j9wp9EktMo/aopiQfu5AyhXVEt/twqfMtVVHml9Q5anoRKn8X1xFPyeilB/vVP94ovQKL6UAfN9a/sD+jT9pfWqvwD06UuiBU+r11U8lvJTqeDqXX/AHz8P99Gr1J/1JliaerriXR0fyfHi/aGrIKtH1E/AM5E/Y9RUvUfazjGnjx4s6j7Hoo/Y+urPB8fs83SunmXoWOJD0DqRx4PE8fRk1D1oz5vg6Cnbjr2yRxempLEaBr6MQyKSD/aFB8yGEKmr6lAJdIc1epOj0SBTi8NPjR8rmHT8HRJ+10DoHQejNWD349kf7fkz8/ugen91p+z+Gj+z+Aun9sM/wCSXT+UQx/ZLP8AZDV9hZ+b/wAp/wCUx82OYKhXSftavLX7qh9v++QnsVejXhwS4Jk+yRQ/1tduv2JOB/gZtbjQflPo+RcCqPI/3HWP6SMusauWr0P91/SozHq9MkF9Ew+18UH8HwR+p8UD8HrL+D1JU+hH4vrX9gfQn8X1mr06Q6J1LqrUuqn8H8H8P99Woej4f6t1T/qqvbWp/m9XoXxfq60+1+vxeWIPlT/QdceLBOKT9jJK61fmQ+DNB9r9XU6vydSofJ1UTXyD9mpeRCfk+OrKyTr6MKx1eiXSgq6CjKR5v/RfAEv2XqOPbj208nWjJPS8p1H5B5SjX0aOFT6M/PuaP7HrTTVgfFI/rL/yP+Qn/lL/AIH/AJAf/CjT/lP/ACGf7IavsZ/tP/Kf+V2y/a1+6Iv26j9X++Krq1n4hqP7Iq5UjyCGK+zMn+H/AEWuzk0Nap+b93k0kR7J/qfIudFDgp8uYZx+TytV/wCSeLpPHQ+of0Mv2HR9SAt9UVH7KnwU9El6R/i/JL6l1+T6E1+b61UfSKvrL6dA9NS6qevB/B0DoP8Af/pr/qLg9KvSvxfGj9HTR0HapYrX4f6g49qfwdxVmgyNPR5a4nzY8j5asIOv2spKjTzAdK8fT+txhKEoCf2RU/aytXtcBQAaOgFPi9AHT1dK6MJUqgHq6BVR2qO1SfwfU+FAwgIo8v4XWrNSXx1+b9S648XUp/Euun2vJRo8iXmrh8Xlo+BoHXH5MKFNODqpZ/gdVfraPt/gZ+feg83gGFB1T1U0r6qLx/lBP+DxdfgpX46Mj+wGD6yNPyU/+E2r+yGv7Gf7T/yn/lMfNo+1j7kcn7KgWsD9o/74ylfsq0LWPLlih+1oJ9maPH+pqtj+8j1T/cemkyP1uiumYfrfKuxqOCvN9H0kbqn6NX6n/pifxfWgp+T6ZCH0y1ftpftB/vA9ZH5l9KH1Ko/V/sh+r6tH0vXV1L+DoP8Afpr/ADuvl/qGjp/qDgHwYASA+A7cB3r5MitHTTV41o8a0rxYVU1D0JPr9w1NO+vB1p930ZLrR48HQF10dSrV1Uvj5eb1V9gfHI+gdaVeVNXlQkv2f1urCjp6PUl8a/N0dBWjoPNivm6rVT5P07JxDPz+4lXZNOpfBKR+X4vo1p0J+JPEspHmRGPs4sH9peX2BxyemZfyj/havglIa/mA1f23/lv/ACn9rBfyL+x/Z9wn1/3x1PnkPwDhr7C04EMwaoXGajzYlhWOYji+bFQSjiAeL604Sevq+XcIyHkXW2kHyJDpdlCT6h+3V/RI5nzL1t0j5PVJ/F8FPgX7Jekb0AS+pb9XoKPU1fSKPXV+gejqrtQf8ixx+7wP81w7enbg+D4Pg+H85x76Veur0FXwAD9A60/F+XbUvQ0f9b04vV+r6+D6TR6un8HYhgAtEgV83XV6Dsln5/cKD9jEgX1HydMtFcaMUHVwjR6fF9GoT0I+JPEs0/L9GPn5uWOmoIDVT8ywkfY/7cn8DH8pdWj4qKmn7VNI+ZYPwqx/Zah/IZ+TP4fcH9kf74KdiovL9iY1+1yW35kHJLFzH+8R7f8AdfvVtoR7SXzIOiT9n+48bgYL/a/uv/TI/wAXVJ5Zf+mD8XRSaOoWR830yj8XxBfk/J+0HrI9VVeiavQUfUp9IfUXo+p9PbXtp/v407a/75qd6h1OrpQfgA+H87QPqKdfiD/B/Nej9o/Y9e/Dvo1ZqOQ4B+b0q/R6uiQPm+l50P2Bk0V9r1L18nyaCh0dO4LPz+8U6046BqQv6P8AaPn8gwQKHhEj+suo1Eeg+Ki5E/sR6/2iX/utNf8AKL/3Wj9Zf9hH6yz/ACUU/Fr/AJEbPwTRq+AAavsS1j1FH8y/tr9xP9n/AHw0dP5J/VRqR/pych82Jk/vItFfJ+92/wDlpfvFr9qXVH0cnp5Pl3Sft83lbLy+DpPHQ+o0f0UlPno9RmH1xPgoPiX7RftF+b0BeiH6PqU9BV+j9Xpo9df9/lC6K83rweXk6j+ZB41Y86+f3K/cqXp3oyx8fuadtHwdPuaOh/1PTWn87rWv4B+dX6v0+7wegqfjq8pZCr+p9RJdB+vsPuBn5/eqePowoYpPqallQJAPtSq/qaVAfCJH9ZZ/MmMVX8VPFf8AuyT+oMZfm+kV8mMv74cz8gxX86sj8gxX85JPyY/lKy+xiv5jkxX1qWB/a/gf62X+p/r7J/sj/V6pK8HRk+gdTwC6H5KDMf8AfIDUfJi7i/yw/eLf2D7SXzbU0Pml/SfRyerxkHMQ6xqwPoX1jMfi9UlPyfRLT5vRVXqgF6xj8H+7f7t+wH6PVT1NXoKv0epeger0er0/371DoePein+0l9Go9H0/gX6H076d9e2j10/gfqHp92r1fT5vT71XQugdePwfB6utauher0NWah18np2p21/mA69q9w0n4ug+7V07a0dfXtT7gQpWNfN4IVzPQjz7a/co6an5uroe1XoOw4B6l01LokBn5/fBHk89K/tSqr+plSTx9qZX9TqB0gdCfNXxZSo8OqU/H0dDoqTVXwS9NDJ0p/shkp/N0J+TNPTBP4M4/wBgM611xDNPXEP56fgH8z+oOv8AlOn2d6emn+r8QXUsfyj/AA6MJP8AfUU/yksTJ/eRaKHwfvMHsH2kvn2uqfNLzgOEn7P9x4XKaK/aDrArNL+kRgfg/oZH9IjJ6oI+T0UQ9JH+8H4v2x+L9sP237T83ol+j1L0fo/X/ftr93Xi6KdU9tH6F9Y+1/th0H4F/s/N6v1en63ro6/wP+49H6PqFX/demj1HbXv/d7+j6dXSnfR0B/F6h6h9JfF8O57Uq9Qwz8u+jPwZ7inH7g7DvQ+rp2UD5ijKfItMg4jV5Hz1/W6Upr2UPV4x0NNeLIqPxeNQafFpH2urSQKEM6+bPNrQejURwqadkY/s6/ie2h8h/AyM0pxTl1mndOtKMLNSD6/Bl2yZhQDSQn5uT3WnKTqKMnVheurPz/mPj5f7ZeSqE+qzX/eQ1SZEZacxX/IIaRjp+RHmo+pago/GVX9QfopY/wUuqPPoj/rLJT+VJSj4mnF6fk6R/aen5NB/aL0/L0j5v5ApH4av56fYHX7f7ncBk+v++D7HpxAr+FC1Rp/N9JH/cfvUftDSQPn2+qD7SXzbQ0Pml6/RyfqeNwnNPr/AKLrAuh9C6TIyD80P6OSr6k1fVG/ZL/M/N+b4F6JeiX6Pj26RR6l6f799Hp207a6h1QX1aPTg/R/B6dJf0g+19Jy+BdPZ+B4PUU+I4PTX5PR/sv1+T9fm9dPm/7j01eho+H4aPy/gdRVP8H4vSh+ToXpo69ulTop6v8A2w+kuo83q6jtwehNGe3zfF/GvbVpIPFksa6unxown1ajXh5M6cX5PXtQPIg8XU8aseVTTVjtRGtBXt9r4s9XD9f3ADrR9RrTvo69qvgO2lcQWpcYOA4/a+n7tED/AGy8iRw7JXilWnBYqNdHhr0nRl8XiT1LoXox6s/P+Zx1r8P+GYCNaedCo1+3R+YKuP5ln+48aDp4I8h8VFmpqk+0r9r4Bmuiqa/yEtak6dNED0B82MPkj+ssY/JPz8y+n5J/rLWrgAig/uv/AG+D/wBv/b07qX+10j+v/fClfp0qeX7ND9nslmIe3H1Rn1D95i9r86Xz7X/KS84Dgv8AZ/uPG4Tir9oPoPMQ9Ryz+p/RqyD+lj/qfEpfRI+NXql+wPwfsP2Xw7aqfr20D1P+/Wh+5q6h9Tql9Xfr1dYy+sULqnUPXR6ah6dL6xkH0Kx+BdVpp8UvyX+ovjif5Tq9dXocfm+H2hj4OmRA+L1D40fQfwfUAXQ1Hz1df4D/AFF1Sr8dHrr+t19HV6jtoXx0HbUM1NNHWrqNfuad+L4fcr2LLqWKfa6sVOlfXsTkKimjoya8AGX9rBWKiurVh7NXX7lXXzPf4Onaj4dqUaoQeldKj5NIRxVo+LHYGrJHCroPi0rTqVDVgU8nwpV+bFA9fIM/Bm705aV4H5kVZ+f36vJOjplp2+H4fwPHSnp5fgKkv+V+v/JT5Onp5f1qLHEmQ1Pqqn9TP4Gn/BUv9Wn/AAUP9Wn8A/rdTxkV+pP9XfR9XB1pQeQ/3w+oOhD5kXUPzJ88VPlf32L2PiHz4dFj20vm2/SvzS9fo5P1PC4TkPV5W6/sdJ4/tfQvH5v9ofi+uP8AqfmHot6Lftv2v1v237T1U/N8Hwep7aB6/wC/XT7mr6dH1ijql66dtHjIKusSn9In7XWNT+kD+jVT4F9aftD+iU+sUdPaHxfmg/B+S/loXxpT1dXrq9X0KfUntofuaF66/N+z9yn3Brw7KFQPh6umL0NGRklmvHydFaOvBjyepOhZ1+T9qmn62AS+IZLPm05+aQWGUo+P+iwjyq6ebWmleGKnr6tXwFWEjzZjVxBeRGjPbH7WKtQjNUV0r3+zsAsa6H+tlgl5xoCE/sj5PzoAxSvxeZBAPA9s401w1rT4s8WNHwegL4NVNa+jGvD4vj5MJqzkQrpr08GNCzIhJrRqITp5sx5dBVUpr/Uz8/5rR1SX1aunB8dB+r+r9T+HDuI0+bxRqlGgej1/3x0D+TyHBPSafsng+VOkLWn2Feo+bzQVQyDyeUUqRJ+DpMjX9pNHSmaH7Koz8tHwzH4vqiKfk+YiUD4HQvjV9Sf1P2HwL835vzfm+D4dtT20H+/jXtq9H8O3Q+sULqgvrFPk6g5Onm/UPTpL16w/2X06j8X1Jp8n0KCvgX1JxehCmaaF8a/AvU4H4PgFD1D1qj5vpor5OhqNe9R6dzTh2B4tVB2HpV0D1ZCOpNNKsA6B07ah17V76KBqAwTpVrB1rw7BpkodfwavxeZUNTSjPV+WrTU5dNGH8XzKdNf6mBX5tNdck1Hbp/ZHbSqjxePkyfj24Pm4dI82SU8XwfB8HwZWs/SJIAHwZ0dKP2XQcC+DTFQUSSfxfAOuID6tXVouI4UR4qCsU8NGuRAoCXweQSDoRr8RRl5slkniphqSqtCKNSKanzaForU5VZ+f84pSz1+Xanl31fLiGIPE+Z7I5J1pr/vlJfVqAMVfLyLEKzr/AHtbxX0TDz9XhP0r/aeMwzT5H/ReVuv7HSZJB9Q6xSfi/pE5PgUvpW9FV7aofsP2H7L4d+P+/TT7+nbTR9Q4vqD6S6F0IfSX1irrGp/SJq+k0+bFRwfSXRYq+hdPm6rGQ9Q9FU+b06k/i+pNPk+hYV8FPrR9oeh/HRgj9T9fm+tFP7L6JvsU/YCv7L4EfN1eur9O3CvyYpXUA9vRn10owSGUkaEteJ4cGX9rqRxajlTR6n+tqGn4B0wFWfow/ZI+1kjixQj2fMPQgVdUkcXEmPVXpUeTCVVqOnT/AEHqKGnkyPj2SMaU8/XuEA6OpaaHgKa9uD9l6CjJxOjOhfmx/ca7ZKjgdSKPi+I/B8Q+Ifk6VHby+9wfl28nXRnNjAOr5ZVQM9VWBlpixq+L4sa14s/P/f1VOuI/FLwVrGr2Vej5U/8AkreE4yT5KdYjmj0en0av1Pq6k+vF61SX9Gur+kRV+zR9L9qj9p8XxfF8Xx78P9+uv3dHq+nt6P0LorqdUmhdJBX4vpL1D49tC+tP2h9Cvxeo76Gj6wFPzS+hdQ/pEMYkpY0C31VS+k1fml6mo+L64/wehKfm6oUlT1Sew1ep/F6xh8FJ/W9F/i6jVnQhrp58WsFIJV5nyf8AUyK6OlWXq6/F1Z7B5ehaVo0L1L0UXSr1Sk/Z/cdTEMq04l6oV+LrVY/B6SH7Q9JU/r/uPik/a/8ARdMXqD2UArizr59o4agZGjwJCsh90aPgHwD4Pg+D4NXOiz9H9HHh8mYVxKM1ahf4Pg+BfAuoTTto9Hnj5vOP7Q00Hk+D4PgwKM/P/f10+1xT/WllQFYz7SfQuh64j+p1j+kj9HlCrE+hdJ0a+oZ5aqj0dFJq9CUvpVV9Sav2aPV+b4vi+Pfg+H+/KnbR699Xp9yr6tX0l/B+j9Xo+oU+T6TV0UMfk+nX7mhfUn/BfSr8XqPuaFjJP4OqVUf7QfUmnyfQujNUhTrwemr1a1KkxxFQ/JQ+LFUfg9FU+b6VA1eoZdHVJZrq+pP4Omo0ftPQg/a9Q1eo1evqyDxasvTRmlPZ7F07cXTR8HwIftU+b6VIP2j+t6JH+Tr/AAPVBdFVB76P2j28vwfk0KoNGDiOHx/uvg+BfA9k8dSzLgrECvl/ddOyveqkYmlPV/yX08HJInhHx+7p2pV8XRpT5vpLOvfiwz8/9/Bi/aH+j2w/aPH4hmYcRooeRfNj9lXFJfOh6fUOhFFeoeCuoPp6S9H1J/B9NQ9FPj9zg+D4fd11emn+/Cv3sXUOvo6nVnv6v0ehfUPwdR26upkah09r5ulCC69sa0akej6TRlaxVQdBUPX7mj9XqHVJeurFUvR9Q/B9J+4aEs1ofm9U/g6JJD49sx6P7O2hLrl+L1AeqXUVD0+7w78X7ReoSfmkPWJP637BHyL4rH2vRZ+1+X4PgHw/mhH+UKyckWHEUZP3SntiT3+P3Mj5Ml1ZH3A//8QAMxABAAMAAgICAgIDAQEAAAILAREAITFBUWFxgZGhscHw0RDh8SAwQFBgcICQoLDA0OD/2gAIAQEAAT8h/bU//EDgsf8Ap2Xx+19/mvn83/D/APA//rA/7C8WA52502ye7vmpzx82Hs9FMwPzQOA+qz4/Sf1YfKixyx8//FF0ffX+fdWTwNU8v/Zs/wDJ/wDw8P8A9OP+kP8A2LpZ/wCNlP8A8pH/APBztyxfn/8AH3/0JophNUWLFj/oSgXg6fP/AOmyWSz/ANJWf+cv/wCL234vzzRxYhqxfBBnz/FJMFjmcLx4AswN/L/uzGOyT/D81kmhGeH65ug8sRyfNlRG7xue+ay6laqA8XCZNhgeKmBL7qm08rMgJ99FUu4X/RWFgwhgkT83GCZx1EzzN3l7vkOKLvJ8VBF0y6zWaNH7v4v7an/4TaBox+y+N2n8PPpvz1z8UzPH8VIz7L8d3+7zef8A9ZI71fXBSPlVcavY/ooOQ/z/AD6sIQq+f6/z3RlTDm2TYe2B+/8AVZHcfr9z+L6ft/pQCGHmF+acM49p/ZXwvLH5OKrwHlHf1/8AlH/Hj/8AUAtmyXP+x/8AjHrr/neZe+v+wTeqIp0vr/8AD1/+SMI3pL7s2gF8f8gLj80M8jj1fNP8L3SwpKDqsP8A8L6/4Z4GsdP/ACbNmzZs2bNmzZpLPGVk8WWy+bP/AODgAOnPz/8AhyzZTj/gPYv0/wCSGYOZc/E2ETOzAFFFrfPA/dZVO5Z+nzWeYIoxqOD2fVIai5+CLnDhI5I4h5oGJ5Je2vtB4u4cUkp00K6y9192RNIbqSWP4qeIR27s6TlkhBd7mljJ9TNhgzwAL56/UtN0nNgmES/Vhi4G7cK/84Mx7oAk/s9C/wA2EDE6flXl91qJOnb3YnwlhgcFetYv7an/AODnPEWC7x6vZu/k+bnwOJ4a57Gex5vH+NLEfWnxdSPb6vn8l+Pm/wD2nPzU2P8A9NP/AMR/+YE0pSloniuBZ9Lxo+e6nKbNkcUJAIES6+DilEPkNaMaJc0/ksfMPmR/qwpjKNUcNABkxUw5Kv1cMZ5//KL1/wDph/yb9XP+R/zbNmzcbBYAnmhTE/F+aP8Awrzfi78K/Fz/ALz+1Y6/4GFjq4T1/wDh4uV//C2Pr/kPV0J/4hEIef8A8MH/AOVH/wCgfP8A35u7IISnMosdpK8T3j+roMsch/U/6s5iJZPuPZFmQtXLL+I1HxWf0Eom5s8fi70h2PkIOSRJ/N9f0YYHIf7WSJ5RPp4PdgXBa/8AaH8VApRQnj4vG+/1c193mhvixyzP+e7EOabCARhLwTUNzmz+AnoTcBrgJ43lYJ+ZqsyDECByv/tOFEHCHvYmpmKQ4iyfgyJB50+O6S59lJZ7OA+HutmgVIRZuuSfNIxZ1WvYzYfqsD8WSHpVAd5ZM91UGxllNSAyF3fF/bU//A+UOs4+6gJQ2MZIJjxey8bpM9jzeOd7e1fy/uvH+OGmt6f01OHl+rx9N4+m/wBXh/8AiP8A+oz/APCE68WFzgq8Lniz4pAjLHzD/wDAC8rzli9RCLLsLwwuH3Er92YhzgoohcXzVTsON+CY+LAPVixCUZRNwEzRy8WKoiTn/s/9K/8A6il/wKvYf8AeYseyw7F6mLiH/wCNlKUjxf1fukdk0QfNkn/mBcarEdf8hRmCpyXj4Nix/wDh6uf8zullcD2qOvzBrF9/8nZrWz+7PqsVjxc8Z3c8fFzo+ZvP1+P93Pu8nH1vf4rjv5ucRWIqJ9f/AIHz1/2F6sce6kTplSP+MyBPiaPTQ8TVRy4Iwn4ry6Ty/wCqsQzkgfy/7viwXCzH9Xqlwj2OMQ+5erwgGQvDGmfNkSlcw5MyjOCC8kRzKz9ZB+X3STo5EOIjjncsgfk+WWhykcoGh7zLyoRMIlnMOevFSTWuA4PuzL8QCX9WYZQnS73f1TJwrvegxL3k1pT1kY+SPysQgIaA5cBx8rUqwAHHIG5ETM05MDyX6lXeWnIhyZp7eCaYaPFZ8YslyPqkGMknMvQF+VDbr5qpHBV8hQ4Hy8FHVkkU9j4ZPmx8BG/yyE/zVtT+CPjunZPwUvLyL6rOeISJTz4H3ZXsd4HA8H81fyKcY9C/tqU/6/C8Oj4pKHhyefIvG9H+PxX7fzd9vV+Vj6Gf9XxPzp1PyvBeSVNj2RfHvL493R7H8f8A4jR//Rz/APMP/wAHYwr0wF92KkH/AArsc4mszlCbO+z9yhm/yn3Z0CsI/wBUepP893/G/wDt/wDqKybn9NVTb0BUZHxi6c9MuPAvYhv/ACWIvBvHFVWX/wDE/wD6iEVZ5/8AxF5ALtKH6qp0fV+xSJ5sR3U//Dv/AOP4vCJvNnhs6+7JImxjTVkx1U/7+b82P1eu/wDmdX4bLt6+/wD8n3/yLBDJX1n5myv7Xm/f/cuH7Yrg6n/Gf/gh5seUoHz9XZZxzP8AqxyJzz1V0l5ReEHHdmFdTQggngEfHj6u+kc2gVjisNWzAP8ANglxEy5Y+1iR7ZN38f7pp2eMSOk6c9WMusXGHk2Ui6Iie0/xZmrcEOp/hcZQQCJkyHPPNgIMibtlPB8V6qMPyS1M9FJhMtnRwIHPR82V+KM0e8CflL33mTP6MrO7MsP0LCstP5byI7xyikhkUMHpDWIHZTz+KdfHuC7NhIpD4my645UJ8xRvDzbGhCM2fvxY35Ug/V5SHMcs+WgoZR56qMiDmzqdU9Vnksvyv7an/OLeGzS2GkGD5UPw2OGffp7r2M4vVM+H7Wjhe1/ViH0fdO/4JK+HYG+J8a9+ma5PpmuT6aanypk/N/3/APgRET2i4Y//AEY//Ef/AIj/AKAE0rHzYuUTxUmBGOf57oInuDw6++LqESkzbGRZ9MPF8a4Xr6v398BfVVkfkao/4ud2XX4T/wC2Pp+f/Vn+Dpf7qpqPHBWCF4Bzf9+k9499WHJXHhRrV8UgL313cPI8FhF5eqwg78VExpeP+v8A+qp//Ftnzc/7H/4Yv3/+OAgzwoSwyRHNWTiiAd2wrQTlw/8A4J4jrw0SVl/dOQz6/wCJ44L42pDYh92Mzix358XU+rHNmQiaaipxvNNHkveBXJXWYR8B+a+fHgn8vFAwoY6/8m671sjx8V8JbHpPiung/wCP+F2ED/PV3Csp3m9pVdolhD3FUnfZ4/z7uLl8erGf3ZaYT6pExp2xckI5o5niKwUcmg/lsPD0Yz/E5U1s+KjqU80jGPCO0xDOzA9cUbPBOR7TgqW0dbn9l0dlww4d5+Ioq0xingiUR891gTMYZe0Ns3sB9HA8so2wBOGyCvph+akHNDARESz77VgzFCjyOJksjefDd8EzMTsFUBeAJ+A6+7toM862Oji6VSc9j3Bt7F6TWceXV4S2am+ak8Sni7H8BYREDvacDZ5um14f/Kcc3ZuAXgCP/awjWMKwpxrPJjtbHA7y93FEB1RnAqO2Cb5sMpB2+V/bUvU2by9fNAQJx6ywAxIbyT2VSq5dPvn7rP8ACH6F5fN/Ladl/wCqsIdfkWJR/wCKhw+Xf4WnYpz90/zT/U0fAxX/APDzHyf/AKCf/oJ/wTrxeXfxXwyn/CgAsS9U4bk+JzRkCBfEdVkEDU/Z6s6ftHXqvf6P+rMB/nyWM/w54rs78f4r2n9v+r/tS/6vQ9v/ANthYHj/AMWd1K/4v/5Sf2NzRSH3qyf6Cp5K4L/5F/8AAvb6qkEvf/AlCuMUr/8AqJ8P/wAiP+/d9ULT7Kpc4933eerlx7sSxNhmLErD3/8AijbH/wCKb8//AIozi4X2/wDOv/KeBLsRPHV1ZzOTq9kjfV8o+ZKicMjxZ2Pp1efgveP6uhJhyvF4X3/Vnxzf8TZm/wCFiOac+PZeqxKj+b6CbklQ+7Eu48xYE6GwJg9+K8Btxdv3YmoYyfoKiQOgrnz1NAA33mfC9UNwcEfh3mwXYXiDzHrzccLklMPMLPmhgYYaRHklVLqIckOwYxdByc/9s05IOD2kbWUvgolsh6PRSMRxJiF7g4rzTyVd+7LsKRfkNkRHKctJI+BU2HtHjv5utJCkWQniHbLAlyzNZifHkWF5HdJbKzZKh20PKaCyr0f7ol8n/OL2D5uQznWPyoQy5TQYmXz1SVJkKgeXzXBswSRYEmJLqi+XxYPBFQQH5qHzR7Xv4NQieb/bUqw6jP5v4hco9P8A7/daol6eA2PgVw+BD/P6uej9H+6v3fmKKjHUvwUJJ5D8roXmzL6/mWP8Dmhns0P2a/tKfwSoTqRfbf0//idD5R/+jH/5hQlgsgfb2evqmf8AOrqH9CWG8ov5CoJn9R5/F4n5Z48nu8vH4r/7X3yg5Pk7sKbvTj8UBDxT/wBbfPHmR/NH/F/q+H8T/uvZ/i+aT/xfxQPyv/que2v+U/8Al2mZToCwKQZJuT5Oi/AOi8+AcU31F7vj/seP/wBRmdWV/wDjS/8A5ndlOKKZWkLsXTlhGLs/9iwWHmksvhZGNjzYI92P/wAHRL6qOB8E/wB2O7GX3/8AgjYu92LvD9X5/wDwR/yCfNixOVESGkw4HjObBhpTAHzLROUY9sfjzUhwVTHf20JB8iOD8H8WFKQ0Ydf883cJB/lt96bGt91wdjjYKIkMrk/4KbFXklHxLXLBORDfxVjR+WcWHdJP+TZEkBqrUmUec/ky5x8R/VD+LTX3YUEBvX45p0IQSpYzBzJ/FiDx5H7oSSQ65m+wL3N14O0wsDBny/1TYkRy0VYyvFTd+SwnHjurwA4fFnlNC1Kiuv8Ad7sP0+QJ/dQDHSB+Ymo4f0cejr7bsitCf1l6sno4K8ZekwD4qUbYjtFZg3eeqTCLuTCEUl33crrGxeEwy0y3JoHlTRZzPI/yv7alLxPdA05L/Z/qj7YR7z/7c/b9XXAfBf00a+39leTwf12IHh+dde4vw3Xsb/gPPxt7+K8eqKMUffixchGER/8AhPoD9P8A9MP/AMB/0zO+6zTg1vU3oVH93gHn/R/NQ9H2/iv4Y48rDvifK/03tr4Ovao05yjk+zqiJ31H1QkGX+NLtK/I/wDajyj2f7qrn/hNJoPVH2/qvk34/m+BPev5/wCYXX3UCZneCyWaikPssL9BXfH4vk4L4mC+Bwqz8Xj/AJkf/qEF4uf/AMFKcFiWLH/+FtCe7Fj/AKMff/ObFj/8G0k2nM3uYoC7lhMF4z7qu8+f+Ah83VA/cWJbEZFellxZWP8Aser3X5pzzHuw4upbKJh+bE62P+/m9+rl46vX/NdbcHgu6/lqdVnivj+K8/HiswFUu9+Lsx4+KMy/uw9PzSOubOcHqKIkgno7s5Aj1cJMjvr8O3RCW5vLyQLieWfVTJESEh/DfuslElyenizIdDgFkSx+2fbXsHN4JfXNdI8uJeKLgJ3CmZj5RXQXweqFEgjdqYZ6c0JU8D+7DL4k/wCqpt9eHwU3KHmQGLdUuGon8WEHDpqsAS+csBGRyzQAsnwf+1/WLP3QgYV/L5uOeis+yXzlR4p9rKZe6FpWlLcKkWNAXsnFgJbHUInaUMz/APL5vM1uN/XuwECXOJjl/bUpw3sVJZt4iTHnqkZi7+2OD80fCT8y/grv+HNctnD/AMdqcb4/Cv8AH7vH/LxcS9qjfiry3FLDnTRIf/uS/wD4Sa6faqP3Uhj/APSz/wDAf9DJV9Tfh275H9gP7oeU36P93pGIvw/qvPFD4f7sPDxv5XmnL3Hz6rrO5f6ag7fOH/qpyvjX8UdR0eKvMD/FXd+ClnxPuz/6C+7+/wDVF/7m/wCEFn5vSl/NVLwDwf8AlEsOvLR39VkIPspcJ7Xxd3itwZXPg/8A1Ne7/wDB8372Xp//ACQspsXOSbFixcO782BqTTkZrKRMPq9qflUP+kULt8i1WZdbFObHNlDPPu4jIT9n8ZfO+dDqJudPqoO4niiJzdzUgcn+Mo6iQcSP9UK5PlN6j8ppPscWW+uaxAYeGyAie39Xedp8m7Fmddpm/wDPmnPiP+fmb5bxe+7n+q/xev7RSNVZ692OH/6+70O5qz/VzGE+trEJEeI/yaJCQ6LPr1cfFY6TRgwwPk3/AD1fgjMcP9XuBxE4fqtJiMs5X5WMUxdB9mJ+L4iEMH0pMJLVc01IyCZfuw6gaf8A7zefXpfyh2D6JpmDzxE/W3Ikz9tnkAOJsiJK9UvmdFBxTPiZanGXgjWsoo6txwXxw/FxCuIw/jmhBTHo/wB3K0/FRkQFyz/uiwTLkIJ8Xgh5YM8Ffl/bPxSvQ9lylZ8ZQKc+KVSQBw/u88OiOfmjVSjQufPurwU4Eknz/qqGFxH+kUnUx7UEZ/hX9tSlmvwLEcEhNSISOTcE3IPh1Pixj0h/GqmQ7jL1fl2j5M/gvN9383/D7oz/AA8U/wAFO/FeTfD7Uyk88KpfiH4sSfB//AhP+paXDCD8/wD6Kf8A4j/8B/xweeb1N4KH4PdfmZQcOG9AUn3H9i4Eo+zz/ahA4P4n9lgy8UeCHn3R1TAeH+ykihvs/HVhZHwc0RrHs/w2bCn+eG8j5k/1Q+L5N9/zFh7/ALCq5H4bDvfiW4/+dJ/vdvhPT/5Z4Bfusing3RooeKdD93s08WF6S7gz/g4wvq4fNf8A9UyP+S/8I7Jr4zS44Z9WPJsWP+df9yfFybEMb1zfYVUgV4Rc/wDwfFmOP++y/E/n/wDAI4dsr14VZNYUyFB9WIf6rzsfVYeK/CweKBth7u8rpZc++bsTYecvYsf58XTgb6vEmNnhyfmjkBnfmgIHPevl24lUkiPHuqxAB7s4YPW3yRzcyPzR1fKMaYgDmEl/MXQFHaf/AJe0J752oCHxn4pCDqvX3NWWgvLhf5vfk8f5FyYi4LHF8UvN7j91iQgjzQzj6ZcnCKPuL1/bYji53+Ci7oXQ8/8A2zgwHDy2EyB55oQkPx/v/wBpqQX5WgD1kBn83sIsO/6WJTT5KAZ9wX+P7sBEj1Cx+aiPrYAXhgd9HxNk5DmcI83jZxguH1U3Gsf3DeAwaK1TWI8ubxrPRYi9h5qXHhZY5DAqnA8VrLj22F5D3SOI2X6v7an/ADkRQP7/AOSBhISDyVcXAJ6oep+D8lE6lfo3izEh9vFT/G5f+0x/iMUca9ewH4r+1mx7bTwcya32KZPufyP+rwHzvg6FK/ysXfoH8n/6Kf8A4Yp/+Ao7apTQza2dAz3/AOthDlyuJJP9UTxUH7RYDkvWY4bEc6BfYovF/X5e7C+ThP00uo8U/wDtZ8iif0RZkfNMVqMPVH4sP5wP/t4H1P8A8lX/ANJfC33R/wDaW+gfRQv69viH52VxGodneqK/cqHVK5ZScNNTs+rvoWZrHRcOLP8A+pfn/wDIzzQXi8f/AIYsf8iw/wDd/wDwb/2Gs/8AYsNj/kNixY/56/5tJ8fsH+f+S8mr3C9m0XU2J4s1gLIxy1KV/BV5JSW2Kliw8c+qUa4vxrZp5mKzvbIEQvhj7r0QsHiF5VB4vLjPBc+Knd93vG/uxY7v4vvm/wAqD5bH4vAxe26S2HBdNen/ALRRYPy8/ibICwHANjwb5T/uv8YrGMPmKconopMCl2u1Qg58v6ohyNr530YU8iPRROPn3/P5v4AVlT+Er92QxnXargAi8A56olSeNE6c1eavz/NE/wAv3RdJ9Fbxc/xf21P+cwpfZfKzWGh8a7KOLyzqiOJkTr2vdYmwKIJHsB7Vv9q2ARvzxSE/jKmPxHxWr5fqXUn/AFF/YSvXMqa9mjD0T+a49c/v/wBuD0BRw+Kc+Levy318XS+f4P8Anf8A+eE1P/xBYsWP/wAPA8Lxf8C8f7oiFwD4f/NE/wAw53+Tb4v0eY4qcfArrznizJodeE+6WyGR/pZgY30/8sNJ8bp+bjzUETH6/wBNc4vp/qg8qv8AEL8f0vwH4vuH4r4X5sdz4H+6dl8qMcDUPN8U4Jfmh9HqyMM/NRdUUehYDnW6+BY+ir1XHzY//UeFn/k2bP8A+CciP+n/AAJcsX4vlZN6oKgWAw1qR7WHvLJZs/8AJ/8Ayp/7ly+p/wCQdX4f8Qvb/qBgx5s7hzZhl81mVHgsNdwv0/4au49f7vSl8H8UQz+CgiEHeG0XUf8AMNi9R1Y8f9PCwHVhsTWTloQ+oGfcr8qq8Z1933fc/wDD7aazKbYO6FzV6wfa1RJr6mf4sk9h7brjT3LT/H/lHwPqiHQHVlaEPX/tKWYgiHzd5/SjuKOR+FZXX45sED25po7XmxkvuQPuhkk7OT9xWN28CUNPDiiagYPzYC8o835fikqTLgSxOvxf21P+FmEfFhOcXXcWJuPNiIPI5nguWbTzAbYz8t/O+q5rT8SJ+P6sZnzqxCPY/wCfuv8An/x5vA/9n/1RIoRDPl5pz8X3aP8AAWiIeKRP2H6J/qsK/D+KTc1p5PibHXwV8/P+qY+r/nL/APP4V4/5FhsNhof/AIH/ALypjPdQx23af8Df4oOhNfX/ANm8X8zyOH+mojgfoe/pu2WE+c+uyw8x9JPqyNacf5beFL6P4rX5AvxZMzvFGDD6G9IPiSyf2Cy8fjv/AMq//AseT/Fg5Xy0/wDVfqfxXyHxZ7y93fr+LA5ZWXwhYHkv0FA633cNebPwX0X+f/1EH/5Anbx/yKaisVthfq+C6Q1gbxzUPVPDdPF2oJOvKw3JszeDYf8AkTYyhNCWKHVEo/5E0w18UUdE+HxWOTifF38lJJncuAge6KEQdf8A2nEPTZGDEcV2m+DaJPQvK8V7dz5qCXY8Uih4OL1ZOzaf97mJokoYXW/8DeEtZ5a7UReCYyrco4AlcypGCGlIWJY3HBeTLPqy/wC/jY18bGxvzj/nlfD/AJ3tmbH3cfwL7u2L8t9X7i93rf8APzfH+7B5svKiOpfe1xhP1iibZy6c/wBtzgT7/wAavoh/nWVX5+qaib0+LM8S/wCeqTGkf57ocMl8/wD2xUfREP4ZP1fVMSzjwcH1X4Qfmj5MKjtRhk/mwMnNn/OKexV3Lzf21P8AvCPF0q5EE9U72jSnYZD5jeKC+IKVPBvgYewtpJdBv1Xmf4n+H3QYebfSOCh859P+TT7t/gfNf+osGnK9y+FOXsr4KbvL/VZAcwvyrgr0ftetzAfbUlTy/gX38/0rn1/VEI7/AOWn/wDP4f8AGz/+OK/8KcIIztkvBs3Xb+Kh/wCXX+7k+T7+0fzVn4fv7+ms93kOvT6oHm/l+vJV4H6D8lhD8rv4aLk/5u0OB99PI32/3T/zigOM/I1/ogrVF+P4b4D+Gz0D6v0/CouM+7Hd+Fn+2srgh+KnlfFE/wB1Zc4onj9tQOctW1xzefiz0f8A6gP+d/8AHX/8fg/5xtHPV2D3T3/1lJYPPsnUrcNjsuHIfxRwUnGvIr7Ye7MZ8yqNIbppSHwfF78N+ca77+bI+Lz3PHV4wg9c/wC1Nk8MmxV52er4tHM4ufV1h3eXZ81DhYqeh7P91rUfs/3Yb7yyv3TssKIqMo995YwZRSHP1RB8fH/thAENlRkP2KgqhbNyFVAPFnn8LAJT6aUcjPR+axkj083pXU7lUHjjLFI36qnyizc7+6wOfVgksfNcKdXG+rJ25F1WIVuZ82M7yt3FN5RCuYsGAY7EjvuwSRLG4X25rGKSG+3i7Nd0SgGfi9W1EkmxjP7MpAdFH4/+0F+tpycHnb2PxsX3l3xSoFQqcsdoYfIVOnmhzlj+dskUD0V3EoxdFnsoMcA5DknzxZdBF4gI9lX5jPNOIInj3Z0r+LIH+7xn2IV3B8Q2Dih6D+2wcBEr3x55v7an/TG8/FCqqRUiVXkHpPg8/umn9MEHg/42GPfPyOSo8kKD30Nf6aL4KzrZg8dlfmZ8bloc2K+vTQ/g9/mqxKHza4tyP7W4U4SfhLinqanhe1/VhPY/Z5vs+fxhY6/z/JuF4D8Crr/9AOKV/wDyA/8AwUsAitY/FH4NA4QKfjA/z3eNHz4ZP9NZIJx8fkfVNJ5Lk9J4o3Bbr+Vflh6H7sevgP8AVXhO1/1u0T64fxcovZP7L/KlZv2B/qwcf7LHWiKidvzWHv8Advnl9XPl/wAL6iwXkYJ+bBeN+7elhcOduvGXC+288f8A6gP+d/8AH/8AG+qP+H0XBRY4+ax04vAnhsUVSXh4p4STzfImzyY0mnF7/wAxxXpMdCkuI8PZYCWf88rPHLxw/NdgxQMce6SxR6rwl/G+DPfC89T7/wBLvlNJZJVl0exjfIJ+j+ePzYNXpOfvi632H+ywf/T/AFZe3538N+T7NP8APu+VH+e/93xsnj/1VuE9ye/1eOx95/5W8T4Tp+SwM/g/1Yn4Mx4oe/8AVno/v+LLHB7h/pi+MfH/AKvlPxenHz/5VOaoAg/W2AbKLBYiITHxSc9WbDhds7vNlMDj/wBosYVEYSx5JmG2JLhjLo13xQyKy9XUGHTP9VDVCeuqYI8b+bhBC614S8kcVMfP/BlsIjy3/wB2IyO70XI3xUJkXDjqi1/7D/V5Vk/jizhRte7InspPc1GLvb9d+KHMYRmJ82A8aIn2PViMgXMMKuCVIcB1hqcTvl/niuwEwTxWXEDM0Rzs37s9QDO60qMpgnXPVYhWIf4snd/I/wCiKISP7oxB7+8OUhzxYGOj23oaXeEZRzLSEIf5ot8JMOeXnyUJ8BpNJiDDpHPTFn07yH1PL7vkomooYKCfi/tqf/gUV7HF4o5mPQJ+xexScDB8SXbpg8VOykBI3K/+Bsmj0f1ZH6ig/wA+bzBeB6r3Sfmgr7T7K5bHs/K5PxU47/IfLT48fPJSqHDjD9jfbh2eulR+/wC3n8f8kLiZfgsP9l//AEE4/wCP/D/8XL/o5vKuAen8UUHVvn+o0H7S9vP+PFz/ALM+/h7v7Q+vSeLIzA3tPjyVnn+0f6volF/VI/iy/m4K8kf2WOBb8l4Y9J/qpcf1n+K9afEln6Phu/8A4/7/AIE/4vgD6rPlqK7L42xzbf7hXzaHS65Ysjjbrrfix5//AFIPVkl5Q/8A4T/kmNYf8F4XB/VjXR4sbc/FlYbBSLgUD2XiqOGXmwJ1+l+1+qfOvsqaV/B+anEvpzZCAP2U4Sv5aJzfcpUnGhzWeGnuXk4sTsHvz/z6udj8D+f/AGy4l+QsImMO9F8w+FRdpb4rJ8SV6P4/VOd+WvyY/dSPsOfwXWPFnl+v9VSg3j/JKGNS9Z/P+6i2STzEP3GXzz9Q/wARd5i+4qEQcdCdjOK4FJ0+/ma8gB9f00sKfyn+pqcg+j/V4BStwSf53N7R+aAFh8NYPcRdHGxnlzqs7T+lmTHTumiU/iinMpOdXoH6+MuoOs8RYfguI4NPujWdQCO7KUiuv6vDWwlyzWcAYQPFi4hLEeL7Sx+6rgG5QdUiY+rFwGGlRNdF+byKfRPml+Cp+Gx+ivj5DrixsT3TCfpWyHxIz7GfjbCTLeON2i5PuoUQEN42atk4D4m96H8XWkdTe2Zy8vc2QMB9Ujz829/dGY8f+XhNoYX8PzXuf/kFZvU2aEqrvEzdJjxz5LoBj+aYGXEM6bdSEsa/CjKMrZ17sjwOLrcm7ICsaU1UrrN5+2wI80GaI8Zd7NT6oAqco1Hk/wAX9tT/APCPTWY804yjpe9R/Zo6J6T5dDD7UxA9Afh5lcgM6P8A9VWaIj3r+OonBoePg+W9Is52NfztO3STe/LQjtj76QiPGfc1cNk/hWH7Vh5wjjx0Pluz7mfv/Qsf5/nnuua3rh/9L+v/ANB5vD/j/wBP/wAg4qZ93Pdvg8P4vdJkp5R/TeR6e4bH93gMDP534aHwPw/XZcMnX/ZWZQ5B/JZMX5D8Vec9O0TJ+pn9NPo+Suj8omhcP5S54/Q16B+q91j4n4vp/iz0J9XXr8V6/wDNgd08QfVl9FRpn3ZXGXO271fmz4/5zz/+oj/g9WJvg2JvH/R81PH/ABIP+RXM/K/2QsjDJ5q+aaFz8qvk08ljspiBDz3U73qyMeyLEk+DS+0+Tiwv9svYpe+PzU0B5P8A285n9F7BVHVoTYl4P9rxzPJfHPn/ALvYJdcP1/q73TBAQ/g/6ogyVKONPJn/AJ+r4l8j/X+qa/vVwvmf/KIfSQP7oyIz0f2XqfrS/wBfu837P9qAm6sNbtDLB7P1fYLHk/4/m8pckbvNMmP+eqEyLz/EWGSCW3xg8WEqA7H+uaMk/upS8SgjBj67oUMDsxt8oceNs8CsY0gjqa4CeCKMTvU7UYXmKsLHfM1kF52LLM4a0oz/ABsOiWf0ix6HNg03R5b1N7JlYaxXIQcqyOnxew7PHigILLz31eAjjPzYGvtY7GUeSttmWB6Jy7YiCLEnzMWYnuxWdX7W/wA0bPKDb5sD2SrgnFH90jYbkWJBO6JAjqxD6FDxZEAXikN4xuGX+64qchHbhRnZaXb8lMStO8/9b1a0eaMB4eXiLIsh+FjQN+8zZCQDih5Cycqh9h+rAeA/xREgjTx8f3UklzTYAzxF/bU//ExgGOniyxvidVWiXVRcCewf5qZOuQYfYT+aQnJ4c+35Re2XoKZPAfs2ERCHO5B/KfVAS+FgYIOpzexZnT/B8tTmc7eB/L5ak5HOj/F8rK6cTr/Qb7neZ9+f9eKwbhQpKc/KLgQWHwH/AOglD/jX/gWKlj/k5/1wFdaByDK4Sw683ja/cNZ9xovsj/VE/wA7fYePNCRg3/TV6m/J/qkend/punJ88anYfDGjZZeP9y4c2dDPia/y5snR8l9H8tOsP3fXrzj81PT+ajpjyvhuekKlGfdGm9rh7url1uX5/wD1GWKdG83fhcbEXn/g+bskqZeLDVyrzT4Gw8lycP6s1K+FkyT5vIJPVPNfJxQS5PJdGcNmMD+VBYHw3pifDLLyHxw1JiX3w3aZHwf+Xxi+j/yscvrj9NntMOhFA0eLVk5+cPxSOvu/iUAJIRBhsHHPPX5o89Pn/fNOMJ/H4v2HXF/+BXWinz/5eMSHgZ/VwhLkReOKPlCy9fi/vm+q+G8T/wAg8VMg4ulwSRJN8XYl4o5LEFx3c7slRIZzUwgu8fFVyYFBJ0EfxNRN/B3YvcG0uAKCA/bYpMHvxZlZhi8ll5LPTqrR7ZjvhQtBzn+cVnZDO/PFSAnHH4boXkVCliz4sSj1/dlyGMjsAv6XoRW+/m9Ymfh5/wDKss72iN3PZVp9jPz/APL2nH5cx/u9LuD5pP5h/wAKSAm8vHXFT4F/miqFTNjkRhPNAl5bFneBj5J1P/HyFWI5rxHX91QnQXwkP00jh3H4aoDBr1A44T0rK4BPz3/dSaPaobbZuGOd+7JLM5H5r2gRHwCAv2lYRIETr5qG0Hb2WWQOceHxXDi5mBjnIq+j5bCjILD6LrFA7HnxQJgRr80YHOfqxBpr9XrxVlU2m1OQ57KAwYgoYNP7sVo4gChz5c39tT/8iHd8lNTwPq8bGoJCPHB+s/VbGTdWI+HlQrDwgT0eWd/JWe/EfB4I4PifmvkDMjM8Hj+/NlATj0Hfwef7peYX4+6jhFZd/wD0RNP+qf8AhR/+Hk/8xviwPluyOQp83QkTyuV/VQ6OTHogUN5RImbHh3idvw8N+v1pfZUsG3UT+r0vepqHCvh/+r2q8j+mwcy7KHWj5mqcb8KrOr830Fld3HlWe6+NeK5dGy/Vhp87NN85fyo+L8t+L834sf8A6kGbFIY/8h0USmG2R/4Lopgca7SmDD5qG/u+UXnZbhO0XH6by3Hprn9xTm6zsTvP+lf/AEZcMIlNJrPmb2J/VU4T8v8A7fmfvShIXx4vnnz/AKtkwH/DGosMvX+n/dl+oc/huEI8H3/qggCPl/mg7puqqq4Pk+JIoF3ekn5L3PyP6aiJDCfVl3R8K8BGOLNyb8tZX+qbYAeHiuQAuRx9WbDGZAY+a4tAJJxOxd84V0ancjE+Kh8bPgeJ/daCGdlx3N5KWJlOfxRYkeKYw+bvdOZx+Tki9dQSTqwbEdeGo66mKlIwkGvhPmiMFgPwz+7GlfLGc2JHi+XGVFzRz1UmMkz80Bh5o/fP80xzUSeSX8XCS2OHDdDgHxXBPL/uitwIIeg/soxGIpxPgN4pvshkK2B5fuoJg31SAkVBNMDFifE2MDS9kVhj/nIj4ULvX3UXbKdg/wA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NcviA9H6uT67w6xRE8JkOdyWSY7Xo7U+/LJm+n001ca7jlnjMhOYDS8nQfcXzoHbM6O9t7TwV0cOD0DMNvL1WwDoa/acacQ8akZZRmpOQ44AlxtMJWZjlu+GtrdzA+ngX0yNrvfhMogD300T6gDRSFfp3duX56KhDRI+Be1YmiSugwJwG0Ia/2337TGaJ17rlss+3tDmxUJmPL0dAZCtwXlRb/oLxJ4pvE7bNu3GHGJk1m/VQQWGqd4g9JnyYWtHtgEEgXpxj+8XIFFKH1dlO7iCn23ADb2KljVnypBvlEBVcmgRsAJUrJpdJ08yS18CjKsuzzKYD9gOJ20LDI8eTGlbWZwJXTzBk7ItvrPnzP0vB0r05LlFuYbD/PDOoq57ckzNsOn8q0S86EQX336b/3PIkj0LJTy8rf9ucsu5H6HAPaOPPkzEMpySoMT80An1nwlPb7ahu4FmRs0ybuOlaeHfQgPzWF2zXg/Tg3eD9KrUC9FUCbZSiAvYW9/rFdIqWz/M23S52NI8el50/CjfbHibkSkKlgrphq2KDeDoHdsfnm+mgOYpJ71WHdefQeWcPm2Ff8zrPG53A5xlbeqADnFjy8OO/jkmD4cVOrs5NwS5XVtPuZXEqnPIilUrh2rMoJ1JSEkO5AGnAjW2/KTj3smRTAHrZCD8DvFK218C/e8/2x/dPCKR2QiGYjiVIqscAWxpl4mPZBRJZYmVsMV4Dn66fTMr+Gme4rC9L0gLTm2sRxd9/r6006wnSaQpsI24xB9336nsOYB7oX2ZxJm/3aHMPnFytoM4Y/W+lq4xWwjTdZDOy6BzxXxcash5UDJeX3bTKLEpDt1MFJAYDtUOqCYm8BCB/HJecuSPZGZ+NwFEbTzGNznVAwFfpryZOJD/cwkrXNCdi0NcsNUNc6nlkPzB6KTWXNr11nEe04YvgM25kkrx8zhezRkaX7/Y6WZAlsmVwPPp0qyfrMWQgPHLMVhlOzwLklDWpSlN1sd8FM3SSa8FjGXioDvzKJS6WSiv0gUNPjyqYyMjnBR7JRj/IYC4o9yip9HG2kdA5/E2OyufaY6/NZLjEW2qarPmPKYD5p1avd7aMzz0NIHm+verYUTLnXZdMUWsnIcucSn1ZqsJYyLIvmfjKGrejqsaHl8Nb9nmviH0oFAYAK41icAr54zMOLR3x8v8XwXgvKTm1OMbJRKw4iVpJRPPVBT8hXZtjtfeHGpdhOTVcYrzJ6T/8Sk9ZOUOqCYn8cYB3lnufPu8ee/vqEs77mtzv+I8wRDRmRT3++Gqzn2zxSZqE6C/yMIjmhtvlYypK1vAlZuz2RqXNiInON3HmjGXyC2Qp2fdR0qwAk6ZwSg3fcV7agR3xwdZPFaEDTf6T5nqtw/OaShy8uVvCdJvBWswtqm/02Di77K8ATY2H7WJmvHCtvXAXG1ixZ2sjUKVDT7QpgjwKQ3djmouRHL23MC4GjjuN4ApSUMgPdPJLchwXPPwp6F6Yf2LstLWZZBUFbozJWKhFrp1Npg9OplZJTQ91QD9rKvKQjyAz27IixmDkYBHsb4NkUR0PZcnVPOyhVj6PiQSVGeHXBwyvzPppg+LcrGtR2nza46SB4ZQadJ8qd65NheBU664lNpU2iBKP5VkUBdxLU6pDYjft/z435vHSfOwj20ViwINpi0S3FGcD6sN6jAlatUw4FN6GZKaD07XQYLHIuzLqKJQOxn1z6NMoqrwZ97qcYS3rPxJ2ni+D1gji7nyjbCQH05Tkfv3eyogB+AwxvrEB5lNkSCJ0AJkkCXfNMDfL5SVyfFbluojb73ZP1ZCf3dQHsnVzNLfR17H+TY6G7PiOEnHUZm5OhcDchDaYh008+3uS40rQrfXGiEVfI0yPtasmtASS/xzxtqptNHU36SoN0Nbj4+pzkEUOnmlQhsaqOWNmKSXlXrzAs1jj+2fNlzM/4+M4K8E4LaLatczLmLgy1rvvAqXFsLJdx91AZ17C21sL4eDad0T2TqbPzLoA9dCfcowYXJDt89+5ku1RZYoKK0Alf87hDNj2xgYbdtZMj9Lksa+qh2Qw3V8VzToEp/s6OlOj5PXuy6GuUCi2ObzR2dgN3e9j97cw249E70X4pjLqnXpbG5z9TzgRmfIaX5nycIZPWUgV/tQK8QTJ1DOrkmDJiA1Xy8IFfGkf7qWr7UtXzqHa1cTyxtd+petY7zXoXwL5HON1Mt4cvXCrj5sx0x3efYA7KgiKvBgA6oeAjErosxc0Fch7irUlsjvh3W9umrUwOlt4lslmTrBbMEGYb7aq9PbJRUikP4j/0TbTmm4EcT1454itzVqPG8G4AfG8FuN3WniQG1EaxRn+nKsAzVYSvVnGlEq5fWxWiU61WjRxtKLbJTzZSLPVm9lK/tgXF3olVHK0PB+cvssOHn51oy7HDYO5Bx3V8nffb7GLNZSoZOEvKNkGRk+HkUdwMeHfe9J1VxQ1YnM3IHMYENtpa55SzzegbLE05JQ88UmMK1CRTM4/h+02of2Sntkt2pkBNMvUEgtM13DnkKJna+H7TzAzVpvfG73tbbqIjT71Qnm1mqbbR9rx0l+ZvjN+SlUUXctph3JcRccQarXYQv43x7B1ziWw/l6kRQL2NGaWVctlDJ6Xajsv6MNKA62NENY9PlLwzLI9YJ2uV8SPpbWtNPHPGxKudTJt0fBUAi3WG04d8/JOnKpiZYvjeDeCvV4CbQmcfpSdlJBAaL/1reMCn96H1GGtfmWbirlVyx85PlpKp6cb3mgU3kyso9rZ29/CLyXPs+22MN9fXl+F5DYSB28OijsJR5tOgjFKpF29bpsg91DT+Iu4wX5rOYzRGlB+GLmWmn8wAmIgdU9X4+mkR9EUKnFSVw6cE/j7OzHt4ZYHhZMPHG7eBv24Cl9a1/7dR2tmqhRqBelKEn5hkP696MDJ1Nj+ZDer7BugC2EM30vYbLP7zn/h3J+YPu2E0I7l3IJuWyCh91HYbwGrnjsTWB8UbsO9+HmUqliCfimTuORkGQTprad7ysZIZcXzPgVz+AFnaeLHF3RAwZ2sMZ+Z8fOlxD8szOmUombN+3ALebwMtO4OURbHrDHh2Ep3PzeBqpYSPMmGXRrZOFaEfZfl3uk1BsXd6RQE89wey9NFYc0JE7BFErCGBkr5N7E1tUWiT/aPfMNR2tfdsHjEipj5us2ko5XlhDVyTPHRlNV+217iZ+YDkJvH9UmdbLJ/Y2UfNsNLac02pe5xXcpSR1IZAbVjvc0seTs/6SjH2gybwvdsxqO0qw1ZCtsUa8GINzcVy5/a0G96wSu4YQNNfO0rrvlPqgmLfA0BTl0v/i6ytO8G+0MFx0RHlfql6BlFpM7QEz1k5Ov5hM7qnZLoZpZztbZn8lCiqNkOBLfl5hLVNDqBclr9PBzaC1TlpnXipE82aZLx29DNFWlE+smdnSVHm4fR+H74PvN+CotakLCMHlOQ2VvdHasAX9+HOsVJwpeb75CJqJx2kSwyo77uiLG+1Coo9wiYcqckFyY507ky0171HHeZORw4824Rl21qHst55CrEczdlmpVfbdTvh/oeS+N67ZPFlr0/fMeVx8KmsJ8MGEjuUJMyBxaakHlAG1BRuyYn1Bs7MV/DFRQ9zNY7lhj60LgXA5RZUpBbJ1S3rIDDdUtOXptF+bbL9c08oRZld7dJmv02UlspR9nG+CmBvc/VNrHQkD851InlYOs64y5BOImjdYxio+9qcM+PcFKgzSBzMLQznAwaKumac/QZoc+39bPc9J4fFouQ8r+6Zp2+qNNkm8QHXlPrMER+/tVymqhzKXk2vd1uaStPfBNRxWiOiv9ynYvMCT02w9ucauDbZlanpRnnJ/DeddHCb26/v5QWwt7Wy0nnkDzCx4bUPRmCPuFEYV0nuD7thLLitEzOmlkx8ghrxZoHdw8UOnHcveTXx0wPva1/W73xI8eD9BxGKEDwpmt3liVPrY1Yh1w6oTVQzVGC+wfCbyxW8tuBjrqYjvm8LKA248f+m6pdmnem29PG5qpC/NC3vHEJ0c7qqPMpIpUZUOWujpuYJlb5fJq1Bj7AA9laBfV66xx9ZbawJ96jrsIMabd0oqH7dDvMYTZRl2Sz6GaXvVoA9eKq90O9+0yWz+r6Zu9sgztWiD2OzuyNTCQYVcgjY+lbdqcc3Ul8MWgHKEc5A4ZMvzTG8tlhRAR2LDcq2AqwEwKU28Fc3tLKMQJ3tjdIZ/cMDWD1exQeZMrbU1BwDO5r1ZKtbMe+6AtibXU0pHXzz7dJ8c7kRORuPSycaB2UGtRDbb8uliFifRrlGm5wv+27rPD45Y3vOn7LdYxqIucR3FOpMN0op4gYfRxqvQ9T72cit1GR0/3QwUCDHqVmG3/yFv/dnFipKxqaqHJcD4J2mNmu9S2atDKgpUqsMgV8/wIIXxvGeT9Ga+myxi87TjWzf749N+91v+xbA3gywpXSO/u+tAwhKBwIWHXQdshyb4OTuph2FmqYod2zzSrOZ8cBsUGcE8KH3yWA1n1vIOwm6izLwADHNejTStja9l1obzrlLnQmMRKP78jnZcOmchvFIhc5LtlBn+PxCBeeWKwrglJPIAJr+XiZQUy/JYPR1j5UhX53CraM+blU93IllaQKxAbZdneOehl5uZmtm2xbA3sTqHf2DtYPCc5ciVqohCjWVzuzboWCL76ecQOyas9nIRDOuPrt96H36NMilvgl7nWa57WxkPcvU0799QJjWQyh06ueciY7ActuSgQmhpNxkZxYomKOMM/M+mA+VSfT7K1oLfsMGtRkqB16uAS9M4e6jpeADv2vSMkkHjfZ7YMH5TWyne9q0APaw5SXW+3WwY++hEbKNpShyJtPcn82TJp7Qw3rV+3HAvk9tc4uqjAaZ4dq1/uICHTldijuQDe9LsfOn35sVNWdihoomXfQ7oXq/V2mMyKPsiI9/crqMubqv5GfSev+wCZX7mz4bhKpbxAt9tA75GxPhnafq/BqQUGrT1IRf7gpQ07QKYA+CoJTO4v+BWjtsPQrGpqUQ5XR6eit+eijl7jZQW3IIye3PlloDTucKGHyYdDnVkQ4de4DJUEdkE2wldYKdHurcx587NfEBN8ycikoDXqOsJ56K0Hr5F2z4Wy3g7RWo8EuK0koBOl4FKr2zWEb0qWp48+lxccuPotU4oINubi6hvw+0TF2w4iNua2q29K/W5tbWnXmXe/slsd6pytJZJGeAm9wnZbjt5WhHodo2UrIyd8YBq+/0YtKr/vR1I+0dTO7wcr40ucETZX4Pqc/VIOjhJnMaID8MOAnpnjUf+OS8h986UcFrx32822YqQQJR6xUqZ5s9beJUwU+UhfziAXbrSBmX0Gp14trUxkZt5OldBeqCYvdBAZXQufTR+kERlo5HUtTsLKF6v2akz8wm7o/V/mafPCqeYlQzGzMppRPPYSgxjbmEwTJ2/oKk+k51kH/XXpz2kZ9TRDunr2RRsq6tXYHEZwyU6veVYx6+crKGxVmOFpjKfEKgpqLzvRXB9fWkKPvcfqw/xYOfgWTqZlOgVqPBmn9bLmO7CfpxT5oWrLi1rFQs/tvL8K9GwbwM2THoRAiOlg31xhtMwfrJpvlUe1QWN5ctj4FuAD4SsC1w999N/XvqHW+mrQF9fJ/uuDMz6JlQTj+Z1ba7pqdgyulUfIZTcwz/3Zk6KjUfP2ppRdlVEUdoWfGW5i5k0npkHOKXZ9B8vqqK493K1KY2bPiukakLVnzA+fjY/3m30RHuIccbPyTbAddKWe3s0N2L3S3WH+TdX7oELg3uEQhfaqR9wU2t+rlNm5MoQ/B6x51BZN4a5caMD6DY5DnWz4iVx3rnshLp/rvlBzSwif1envHwe6cqeHWxhj9fgUrkn2i9M/Og3kim/qWakJ/cxz6cFRu3x7oF5/PYbwPsB85OPYzMFxSbVkhK59i/WJl0x8YXZRjN6UWLN5X6o+tDpWvA2K3MBrQQZO3J9PbMUm/9eZhHGt2tB9w5aB9IufuOyb6qn64g3koZE11qg2Vu3mOZHiRLZ9iB9GqnOyaKSzbnF+c85VX26lJNKcoo9JK03kmFDmtwxNkSc8JHAAAgAElEQVRQJNcn6pCvTHSuNRzxUQxqGlVuyZ3tVrwcBr57+XsB7PPSfeo0JtfubpxA5NQlg5tGkEC3oqqh3Gkg60+Z9KH2pkqOhMGOG6aIRb8H3ldTbv3QF9g5FLH7Vf5VGaypYZkZmGONYpsvN0UCJnWN+i8Da83+5E8tGUiykvF9etsTqGsV4POLZSVTE/utIrMoPXAcRx3a6U7iO5J76mJJRL86x1Yec4LLCENKD2xkaRvYRKXVjR8En++tgv+hBvbyBVkNguBAxLAAIcrKOVmh2N6+FiKEzZLbS67bdLclbY2sW+Zwf+nUNh5Iei3qndKwpXiN9J7IJ8rWmPsoqOwzzKrOQQFSlE6IluzWOqI3P2y5AbjiPKgups2B6GirnAllAG1adVffZjF0UAhVvDw16+F/fK2OwPdVdBbJ1HbOwSwYpqiiRxWdJ7zwziem+UfAWgtIQG0rynad9rsf8B9aYC9+S/r8VvuxtiPnXVcJgzYDnktvuw2ylDt7reVmGqcAEaoEziA2V2/nJIxkCLDNAPPY881S7YGU1NxI5dEWqPsMjTLw8iGmsnmSa+Z0CbK1GojX323ztuAIYmArkIe6/G3vK09ot4FsXcG0y2mZiuM1GP7Zy3XMzVR0yGVba77VPfJMWgz49DTCF8Y716ZccWOsm0nUAJpuSv+S4ni7nVqr8W+V1O/a68jp5H96x3P2H3nEdd2jgOMJEQBhmk3uTe5jUZ0k4ih7jU23Y+cV1cQudmVWzlD5/ggeRe42+3mAo3UuA9ybOaV3HDbfQhT6zALQqGhAkxfX1ZZGBMU7H6siunMrkH9ztc1aAcd6O0QgBNoxqlPgzp1YBtTq5t2rZn2Ol+c9fP5EDY0ZotQszvctECTPTq8t5/pKYtsfKwv5lcPs+kRp4zIwRpYv25xlg/qB9fveCtYeKmCTffrWbUxvBBtLcJyq4/KSsNPrJHvJZq1tBrG7+RRxiItgpTXmMZC7Gc5icm6X7UjR5l67eOZJDgN4cv++QniGJmcwnFer2oCatMhUvuZ3lpiqX0WApowjapZxI+puoSIw5UD8zc9ajBLsUzLAdSFURBWB21gYcil37s7VkyFx2WMc5054+J1TddxgPr6/IpQ8TS8CNY9LDdlSySEPmCxBfGEWdx4ZwyUAGzFlzitju6dA/XBRbCmdp/4f1DutjZMSXX/vnDgOvWMsDa7eQ2m1kYGKVqz1qV+VZa1N5sKkaF0a4P1O5gSH8RvGGIi1z3slLGn8Y26rbIc5HdFsZyvAUoNhsQ7cZExFRyXZjKwSN0S2aUpP1CBvXm/Jn95y3GY7QDOI612Fmv9JR1z2nC6x0aF7Opla0y8v+PinL84oVfhfNbUnWSKyKDTrZ2PmfqgG/Mo0WvMV3DpaUnZqotRGQWYotlGSmRxlu1pZln2EDwXFPnte8lsnMR1GnQXhlGaTNMB99Dl6lySaHfUxlZI3/iYF9rivNPXumrYS1j7JOZy+ub5b/3gq1ToBdjwe+0vryfYFd898exfAUOgz8wy1ClOUkRL8XWvFs7VK3arZWZ/JBPXcuBBv/qTJLgcMzZbQ7pwxS247+uSeSlYsNrHRdZ9jcYbhK6fqqM/6+GGT4Ua7y1+QCZJ8DOwXHTBf3A/xfBUfTWpQE6XOK2P7wOQn63egb+f7PQ/s5QvScxAckY48GjlOhUVw0vJe7/Kl5GurcTo/So43malPmxD8LHgzVL8P1e0ndRscx6Wle2VnI8/mxG0n2oDkvOq9CwHz9AzDyVmmsguQtjnmulPwMWoDs3LKusS5Su17vBxGpbVAfvfDNrvWFLgdUEE7LWvTdI1Pec+qWy506nCpcGXSOneqhh8LjndbTLH26UTD6fUsM6X9Fl+a6lxtuOKGVXInT1G259hve033NLCf+4M3Sp19Ty11OvKI6yRVWtKctqKE8YbJw2rmFOjCIY8172q9wwTkNoBszXe2smZXEdcP2IZop0Da51jPUu1uMz3X7v9xbjBfpxGaqxOFZgrUNoy0wNHFFSmout9xvDADOVeRGycn+J2fXFnb+F//w9rsjXVZvh0IValSAzujIVcTTSsGiKum+/yjUzW8dqKGH8PHu8qclV5HMwNz4swy4LlpbCyN4dYj7sY1aI8yJQFkfL8T7fdutlMPo+Z7E9hSOmdfh7+ysnJAiNqy44BnlWS2ZSTDdafWLNl7mYCFbvimDXBr8ynqlP+bbmX9lstSZ8xfOU9yqFKtR5mWPjJMsr+FGsPyLFO1qm4EwIqxV8fDtGeR+H5wrdSiGOhXDyL6/AF2tcTbawc8bwXNZvAPL6Lx3Strx+9sRLwZaF5HU+wYzHbRhPg+KqWRz/H5JQ+vLdewwn281SJ9giWHmLWzDmGqzvHL0wg+WcP1SglXc3J+q9vHCQcVpaZXAexhx8MD9vsnLsjy2tjGASb5PBivi7heS8KFZsY7iDXXUMjQriTFNWXeI6eWrCXYAKhr5uqGNdruqUYJFO9SdZu0aWxYesSB4Dba6GS+elwGnGcOMczXGSoVnbGTNNjmlaLO9kXxEOc84PEp1j5eRvirR/hHHnQNq2YTolZbCV//Dyv4L77nn7y14dZbQRttA2rLCmFW1ZyZi3WO3zlVw+xsGS3GVaLBdsrRh4GlyuhS+VvgzCTCT9Q7VyfD8JpVHC/Lfu9av++twGvPUeyzF2T1lrt+gkl3Wri8lLB6Awrf9dpY02x2z4FgacwV5TV1M/udEH2ptwZ0Qv378OC5X9tnRz/e3RqP4lB0hjZUmMCn5xkaUwzNUKcMMjM2JqwEy/E1iqhSdUrG8SsHEZ49wK5NRO21g1WPWF4SxWkUOszx+nXxQRCIr/xxa/pvN6pPrLdRIV+B1LIlB6betpTO6Cunaji1WMMPAh8tyviaOU+1clG/aLxU8fLZCbSenujcORBFN1XoZa/2+4EoubMVcG7nmj0FbFKUjbH1Z1HyGlKGyuc7AWWaS85ds1wzcAbVioKSQ4SdHjgBp91t9kJjkrG3Zvd9D2eQS4rzteb9qXYaGTNUjK4CpRzzKjq5H6XiJZQoQhijW4VE2v7WDKgxjhOTiJ6bYe2ztdUPq4zdiStimDzbXWDHIH/lf74+9oPm+tE1yGNh5GrWxhxl8dR15hOmMom+9lQd78JXmm87mZyKrrOXXJCjDPArkwie8IP3VMmdtbUOxsezmUTNmOi296029XYAuVPX7g1gS+k898coA+0jUSQfSxZnUOqgkSl4ZqkTnZeFBHUf/VnR4IEJBFhsz7U3r20Wy9xPAaB7KvWj3tnvbZ6D3pMt+uU5phL7URTUusWma612lxIaiqgAT+VmGcfnDsng8YpcOTkj7wAeZe8klNqgNiDq+ls7jqz/9z+vr3Wik9KRk/Y8TDz1fN3Hl07WMDdbVnZqCuYwYkCGYCeUmsrfnqoifHkKlzzgpqUcs81aD2zO750C76B+9gSwX/q/14+1Ec248PcLNyylfIZjMpze+PGWib/MA0sP29hVWmeYyHh5M+x5b582y5AX363HlKbcFnUflrfcLiZnPXGSQY/Vgc8sMKUYe2cdWKEQRquNos6WPZp+8hnH0iSixRoTL9c71+fGSs2a3NiITUg0MANkA3D6bJw90gqq//aHs9ytngrDkGI4dJIElXjQxz99uQ6/XsFVwZQXSU5gVuJhT9fUOPD0BFpPVrDS0Ioy4yZK989GaUV7WUG2p4H94h+uzkaO/7gIRc2lkMv4lcAoh7/uOot0Ob5cSpgXA51pOPA+Pfn67IuJcmeptqHORiNufc7w2z3jjb2/TLOKp11B52vA83MMb8VstwKPJTcr6hwfWoZS+szHSzMiemaCtT41haueh5VMYj+6Pa1s1nsr5cVFdc0UsM5L7rnvLwlXPAIpHLJTz9cYzp0kmXoK7wRMKdfMWCyFtwZ6jPYZBpyeQPNICR9ah4xRktncwwNR8fJ+UOZ+99jFFFs6Zy/Cb62Gp1zGG2EkHLusas/GTzmadNlOw+mODOw0Z5xKv9BNPt8F7Kgea9StkUBtU1hCwfsdKPGTtVlvAs4XFrS2m6jz++s6rDFhsS0wm+9ir0xlbvr0AdZ+caJz85GJ0gpardXVKAqr1WqW9bZDHAe7ZUrpVP+Hn+7b2OBPMuZWF2shzixW8OkTdVwGZZ+Kx5ZDrhWFVzI+8FQVwaOl9iWPTGpdbzKbSu+ZsMvtHgq7EtgUzBEEmEAH+2XUeowERyrilvdK4SEDbkMZ8njrbHTXEJNwcmt1vx6nlrSWXTe22GzlwWpT7+5M8ihzv4euNN4e8JkjDLUalGMH2aYNJU4036aDRCHFsTwFSgoYnpmSzdP7+FUfWM04eBjQ0OwM2009DbULq4qk33jP/7C0vvzlpw7M/fJR3y1P+WjHpj1j4bPHZ1bDOKwcK6P9/AQ+AkB5v+1Kl7YoYJxP9rSNehTQ7z5gS+n80rdxIGqHx1HiExCCK38mCwF5EB8E8NRCjapU68VmMoZ8cNv00r5jFuDmt+6IE8jnY1+boSjCagpYmmGqThVl6ST2lsBim7DofUrhzTjONIBPzbKbx8awWi8pZZSd/8tmdY0t2IB5pLKxBGw4Dr7wB2+U//PPnDjt1Ur1ZuyZZ2RuZY6zDhwTWDLjQ+5zwtUDVX5jvNW6iUolvHv3bjgxMfFQ26mHgXvXAfvX/khWVtjG8xEfm0Q7yI01zqvb1g/YvTCKv4kvyFLMviaxzEqnMGhlZUlYa6vahm3a0fWshiRyiOVpc8tDFSi7dIsD1wJdItZ+GXbWxg3zOWosxIkqj/6TQ+zqFAtu+r5PNmkDGJv1tlncoRQ6b9MRuF9//Rus8tzXJ1fancWOLJEXaMo3z89kFJ0rA/sZblU4iIMgGzVJFHToGHnayPkPlfPJMFDT77sH2NpNdDwMOschonnpws2iOtnPdulV49QVkwT10ZCHXMWaBWyLV09jRcM2w3FnCL9FiVMiQLqWiA3qbgfaptbPJdW0I802KaF+dQF4X+i8X7FZWjUxcrPiFRSfq2OhpiqkWWbtQ6Wwc3pK3q274urYmGivrkoRy9KG3aZJZGXpTbO5imLrl/vee++VLtePzcLBklfCmP0MDdDppqQnOFrBGg+C9+M6WoaLyJWpH1btdz+Q7xpgf/4v5NTK6sYJV0STEaPHnqMNy2bWirGVxW8C0hyA5yrR+rDnA84HxZZr+HfDDNPKNf1I0sq1rIYs69SiryHCRpFYcxWGTx/juNQO8X4Qx0pbrLaWrbuqeca5uuZzjXB9scpvHmXBCnyxDlSyWTppIEaO3hTb3W+jxeB28eab7jsLC+XQqR51fe+wy1CywU1PllxbJxg26n77A68VrhD7HXMSuXZqRaFI+168khXYFcD+7LfkxKrbedx1olldlcOAwqJ3fVhn03Yge55BaK7CylD+PptnEIvey353FWz9UzDl35Ao73KDYaEG5WxCWm+KlzaAV1hO/iNcU56gEBWf43CZyV8/GLaWx8QHvh+tAWVbCWXAbKj0jpqMbKpNlBtA6VqAAyFwnHGUVdQmB8oMwg3DVpXzDwHczWG9s1xEAeqcPflgA1tK59f++Eq5VZ5ZjFx2WOWgz9F+q32dUSzlgXOgUq0P+U31M+TwoGEMYs/NMNVzUA3zQjxsDbqZlG7rATjRYHhlgeMHzVC5gyYMf+wDami8MQATBXykBtngsnN2kq8uTwVXAJ98u40MTXKrrfFOql/sNCW0wE3DdK9cucLZ9MEDnOGxkk5ASnO8TaoCQNnOaXo2N2Fk6j2dJGEnGI8HF9ixTI1OZ9GBMwPOx0XQrwpTl4LbbF0G68l6Zal3zyGQOQFyKXiW7beexjBwdyFtSxQWy04OJImiXzPrDZ8pZxMC9Ru3QxVaqQiz7VzCqfZGfGoQGaQY5RrkrzTYjSkfKzMemlhdbWOwTfqemoxicNO+c99++213eXnZW2tjAS4OMYTtMc5/GgeVZN1VbfFgJG38TgBkt/bxwAL7sz+Rfvvn7aXI9Q4jDLr60gHmKAWYPmi2wZnHltvsfUJRczKRqN+szvoeHrEsHBPmnv3Rw4InDWMWPM5xToT45AzDUoPkasokEir2W0naxoMsDMHjzAcEdHUQVIDlKhNf3o/r5dLGR8BYB6urYQzqPI03dXpfXDBtcJN4fAeoToJ8/RUXQRyEEQMMmO0IrQLUI5w2DySwz168yKvR2dkWxLPMgRPqjPMJWc7k4s8BjfVVBoR2PwNZc9MwX0dnsQjZWOzeVU+6yDkQknPCiALGyzXUtalO1IHlQxxXw7jGc9zOnHQpG3VMwZcnmThUCtuvTsk7M+XwClAmsNDdjRLKyKnmLw3jvgImI3PTPlRUPP5H77Mmtj2ZdHAEjG6pyQMH7HMX3vLW9i1PR2H4ODxngjKf2LhOAbzPlPPkYrvppqi3QaVFvTfLmsfMcepwsmoHJEyA5qo1D0D5w05MAWfmOf66GWJdhYzpnlhKntbfqigsn+GVKQRPVHFtigXNCV/J0tl0uzZLm7Dd1Mf91ixb4DbAVsOI/yVANhT8fo9vS4h6QC56oIB9Xkr3b77TXgoj91AknUqiirKoZlZ+7QFZHrHOaZQFv8o5n2mXfBxFsZaQ3nwKnhT1GzTg2Pa83wdO7geOTHFlxrrZ1sBNOaZaH8ixg2KtPzPNNp6ttj+set4drK2FcW2qflUkHwgKaIHbPLnsnryvnMQDgsttD+OBAvYX/s3aXJu7TwhE43a2jGyVCxvciYzbBzCDqHcPuAcsZ6ptPIBc+bof65/Q25yTRx0qAhXGcGYOmJ3isRkrk2DXVpTF3VDR96VJJhbHwo3PzPAP0Go1UVF2ads7y7DcD3yQRA7Q1UwLar05rD8YwJbS+Qf/5mrFdSdPOaXSlIzClK06NaUYVHlEdFhyP0VUB1DvblXN3pK1PcDup1jL8Px5543N3ZvmpMF+fpZKw3JVk0pXutDGXUOc7USC9B25XJ6YZOuna7gxV1IZg+mfYbWNTG2D+oGg0pvbokXrrazAxw5sOqG/9KfN6Y43djwS0X7HhdsPoGav2xPtYc1zWOoM1vTHQZQ1/i2rXOsB6QhmsSGctwLtXIUynHCcnAXeaQO3rX7teOTkEPAYDntCfm6arR4r4X3fV56kdlogo/U2oE6cTRJ+t/DU2gpeds01Hzuwf/fbH43fLk+fcHhpf9QJdKKEASatBNxWzrE87Xa/Pvqx5j1ste1vnuGec8+OPPY85/Cw5WSSm081qCwsV9kAKazK1KSiWya+03FOMuqOlGoLHqIXp1nrZCl4P07gZ7Td9NdQ7G37eO+aXVwMtGcFPlZgn7sgvY1ZHIIrTjgOUeo0RBXYMiDvRzV7wD3E3p0Q7QGsuVmtPFv0MOqdYQpSXIICLKP0vVTAnePdALhK47WjtsxJYwbBgFnG8EINzSPjaD1aVucAxUwbMGdNWSkqXcioDxf6PzZgn5eSv/Fn67NuqXSMl/hM0B7iVZZBUvIxg+ge9nkYLzxE7rZdVfOUdrkAtqh3djsRqClvFyUXfG2B450QqoJlz8uQdkHJExjmuMBrU+zufCm45Pv+eiaBn077281DRt2p4I0C0A8XoBNR6+OY9rkLknX2bcxjfOx4tB6ME885TPGl8DmMulqKtYREWvW0+mE86dvisXtY855qkb0r16NgyzSh7il446VDHLUyVPw0mbP04WEh2TJyUzLCE2WIl+ps7ZiTsN4GxHms95bipT+OfVDc896twMdCsc9dlNU2D15iDq+EWVvWIPnalJjOWY88Cp5VrA07QJI+tqBY6zl3MqwDwfbULKUt8tFkwCWqadVz0nRPFjL3kefZqXEEJ8Y6t+ZZkhDfKMZsFtw4mhSgvndY2VU9319gS+l89k/gVcfbjwnPWwhFhv2OyeQw6j1QMTaMNe9D+QfJxHnUO5G/h4gI5CRGCREobfZXTnDcZQzvtRCDOlMki6K9iPX2GR4rQz5Xx+2DAte5j1ZZ51Cgu5loJ8N+P/C26V2FiD0y2PsK7HNvyWp4oz0vmTzmAqWUciqPCg+Qj/MUa4OoZg/1ju+3WfY8Ncz44lytfNxw1qP82VxR66maNmcF6oKMbl2lOxHwwXCwDPkPquHKfkdc9rVbqK31tk1ZOxozvUf2dDGN+50a6T/+d8HjkZDHHEeFFve8BgGkLxUfxLpbHeb13U9uNwNLseYZ+Ts7eNu5Rf1GNZ4Z8JUlrtIAfwiGa22T7ijDA4RM5fqmFLtHywiXy1h9YgwfQOf5sllvw34XVLqA78AVuC8U+/x56f74NewLRXgCrlOlZAnDlNWbsU0rSr1pxZq1Ln0Oh54u+7HdNqsQ+3RT1oCvLHIsNBjeUv7eg5MqzDHgExO4u9/H7f1R0ITv26Ysoyyjvyl5utB6FwjPW4H7Auwv/OX1mu9OPiER7Sd79UCvL2uUVnLP5NuB8vcI1Nt4X2dZc1KeZ23m3ZsCuXXsrcQtBtsEaNJ8n1SRWT5+0AIu2+YsdZM4jis+BChd56uT4erxMf4eAGPKMvJ01pRVuIUWWB66Avcc2Of+nSwz1jkB5s4KSak9M7TYqjmVpZA7yZpnTVGb7TuXwzBfxmw6Waxem+M42YCqZvlewFQ+MrtZl7hTqiOmTFmLZbSWxoJLgCoDmydP24kGCtv00G1dNLinwKYwzB99HwdEJzjFXM5EDqizOqQeBVj8jPI8y3pkYft55lDvfnbmPMXaIFEhaxYzJmhyD/3NRY4mY3ibNN/JZIxM3R0gydNPVtE67mFlVmLVC1t34qgsapznRXZfspsUkNgbK3DPgE2gfv+vML421nnUKZUOC+NZNpBU9i+St1kK20/uTg6DIYo11W4Et1RqRgkDl2rAby/6WPGBd1o6zCpxObFwrTzPKBdZGcFyqf1+1RNNK8OJiZ02xe7oyoL13htYu6+zuDfAltL52puYuON2jjkd9zBcEl91+ntF7Qah1CbDAzzSeuTvYYEjgxRf1pg2qz2nyKyTdeDMEV+l2Py+slH3UmiTGWWWCTzhyeCFsegKvPD66mpkJ+nP03o/VAXb7+vu38M3uyfAPv+W9H50p3XCLVcORpSIkLZrppLioGochlr2Y8vt5zEyGz1M8z3MNJY5GOiQoooav0ea7zrDW22ovGTtlHZP02zqmlxD9zERLZXZ6vIYbnrADSuAI+t4YmRqdX2h+d7DCLxHU9txYFN89ZffxlSpJV5yGXh+FUydpSCx5hpQ9dST7qqd+2nDe4BNVD7vRIhvlvdbHhfRl6mI+6FAjt85Ro4nDO8K4IctShNsspbZ76ESZr/gCbFQZpdrYmMlGhvbqOj4aWPGyjqdFAEc92jDPyzd7jiwybus1OwsuZ57iECdh9X04upKFUmuvgGs+iBTVxaImzGL9SjKMp3ZH8k9lHy4Pz/HVUH5qwDeIqfvhCOwgzmoLcNjHqJnS53LlVKJqLRJiJCtaGns00WOr4cFffdwnjsK7K+9IUtrUecZx3X3k1xtqnaMIlLbc+zLphuq20dlnac575eqOJeq5wWQWZ2S3zcpyT4/z9GoMfw4znaSdj3pplKYZJBHfISnSrg5UVK1nY2/N/Vq+3wXnmT3cJM/jF3vKLB/5w15MJLBKbdHoh68tH0VVoMUbZuoYz2IevdjzY2iz/boXiwDv7nAMV9n+N460AzTekBTBICuOeQLPF2W1yelXK+XSpQUwZSozSYZpFkWJWseRvTdwznvDLCVFvxKeY01TjhhdHD08XbzG/UF9wjkPg+4ebJ3X/PVELMW2akpmOMrCz7m68DbbV22lhuloLqZZiNI9z/rA58s4+6UUCVgCdBEnW1TlskiWmQ5GX2zFC03sQI7Auzf/Vs5zjrt+baQR11XRSn2+J0kkmdaBNUlFq2USFui3jGuRvVcy6XgGQ8x0xdps083gJdmOGbrDB9SHep215fMvidNbVIKeaom1x/hyj20uQrIahfUtpLsntbI2sQeKJruwRXYEWD/p9/beExIHHOkGDPV1u3SMyn52XywTb0ZROaCO0UdM0/C9tnMob65snfOw8yzPi/VOP7LJYZ1BmXS0t5k3QHrd0yZs456CGZluPbIGL+JVovqOhs5moZQgHoPAuhBndL2gC2l8/t/Au/uvvA0mDOTJCPMVq3IwWGKcGfJXpwhtJ9GPdfJZYA5y9w+l6vvw4YT27Fc5/j8HMORKeCvWlrzlTDdCbiZymr0tIfOQRfXqmLjxtjYmGG/bXMWvU+VqKW+Chv1gwqN3T2ubQH7978l/dbkxoF17jxeGvN9chtVgLVz7I64PimiPQoFH4jWbsbPLNs9CrjJRfSVWY6XGpT5hOEtgaRsrZajtXbQWOKf8hA96uPDis4gTPi3td4G3Ik5qwDziJuiaLblFdg6sKV0fu8vg4VOmc0hElPS4Q4zvqJbALbNoffMpk+Ob0U9B7HoObJ3rlLNujklMjk9BXzlmK9s1FchlN93N9S0qy/3mcA+j7WXJa5PlnDdArVhvQtQb3lrFhduZwW2DOzzFyX/e3/9WW+iPCvbge4nI6Sm8D1CJlJ7Ij2mauuLHmeUAdR7WP40cy4YRoNiqX9vwQerAD8ORMJ+m/npUGqGBgQOeXJtLoquVj3vllXX2VBrE0edsN8Fpd7OVi2u3cwKbAnY5Db62z+8U3eDsdPM88ugyC0LxX0JdkzsEl2XKgcbZ1Pp43TSj0XflILNHDgDzFrk9rk4wfFyHXh5juGvW0JlPMh7URz1sx5aUxw3S0TU06VqbUWZAXUhS29mVxZtt70CWwL2Vy++O9YuH5wveXgibwQDgZ1ia+NkIsqflOo+988vngDcAqmRd/tS+kG2s/heNFaVIGGW4+VZBt8H3g+p1I6+Y1p5r2uAPspke97nH3jASsZF1LDe9LcwZ217exYdbHUFNg1schtttpvHy9XaYRGKbg3reOiarbkAACAASURBVAQ9oLZduHLY9QQ9isPlyJb5Gcie90ninxwCIzi3UP8nJjj+8XGmEvi/F5oAU31njW8BnzFUAbmfYe0gx0cxqI05y/w1gDYa8IJSb3VnFtdtawW2AuzK3fb6MyXfm6Fyt7YWPBfU/YaXZzQ2bWNkZv28bWLNwEEQtPOn9ZW9Y9Le4xsTV7r82oKPOqUGpiT+SYRp90Sifg9xYI7hbjkIPvR1okHjSUY/20qywj10W1uyuHgnVmBTwKbSPP6B1n5ZZs9wxktEXW1HlFwWfKCGfFDsVyx/95G9beJvs+n9uG8yYRH8FApDgArGn6pzvNxgmK0BN0LiqyncsvdV95k8EoZ36pxfA3DHCuCwHVAKJdlO7Miijx1ZgZGBreKsv4upMQ+PSlfMEjoSEMRvslrw7AjtgIrNjj5JSpID9DwFWxbg5BlGnqAG2K80OD4zp2XqD0Ohw0YzFzFO7LeIGoytTbfb1zwhVlAum7BL26SVRGcVmu/NPtmi/b1YgZGBTdTaO9xedjx2BDLUhHpEQFtNe+YwgCB321psuyk1mzVj9YCbASaJP4HayMvUbs4D/tGij9kK8I6ITVq23YvYccZQEQKPMHbLCYIrvhAtVCp2cfke9pvuUQD7XmzTos/NrsDIwP7qu3IsuLbxSeaWqoa09bDho5i8ekZoVbDPL6iZO6d+9ukswMmMZbTt9NsMAz4z6+P0rFZp3wiEqsKRfjFUSK5mWJsE3o0rctDlhkobubpIjrDZHVe0vy8rMBKwz0nJyt9dP9Bx5LOMs+SanQF2dp5doA+j5in23LKRG5af6ggRtaZ+AgHM+RxfmmNKUUY2ahXQoeTqrqKM5lQGxHSIjZmo/RE8j9xEbVm6UJTdl61Z3GQ7KzASsP+z7zT3rbn8SZc5lOpLOUrnsuIZzVOu3mx4rqRkPsOAbYzMsUUqtQ4EUArkIHATgCvgeG0WODPLFPtNPLXJUdYdp0ADTNYZLlcA8iazY6lNggTbRl3kJtvO7iuuvWcrMBKwz/3l3SXXZY9SeR5OkCZgZ9nuHBTnAZvYXqobYP6qmaW58XzWe8ASZIFN9yUteJlMYircO8TpKR2pRbWpb8bVa7O15msADgA3ysBlK+OJMWvZlFolSCjk6Xu2L4uOt7kCQ4H9+z+R/vUb688A7qzCoE2tCSAGvZYiLc9EreRYo3WOwZ2MnZtoKQvl2aohPfJ3L+k3ijWVcJBT1mNKpsjxYh04OcPA/G6Uln0wcaEyicqDwPo4QAkSTEG8bJRWYdLa5oYrLr8/KzAQ2OcuXGClg1842nHC44zxMriAothGIW7HXedpyK059Cqo0hNUOOYEw+6LgNmvuEAumx4fNATqKUrc3QrxmVmO0w2GJrTziRIilEitG9MhUAWEB9zdB5Vw0DifGGWZSWNUmLTuz54s7rIDKzAQ2FQl05PV51we1VxopZkBqKF4g2zZRh43rPfw8aapsCLwiRkqTeb7yd+kzW74XOXyrrAQ5+Z8CB+4ndjJ4lEwfUiVhcABxm66QfCR7ydF8bLKslSChIIFH/4kixYf7woMptgXVw/IEj/lMJQo+IFIXS6w88xcMXudVwVk8JSNEG5R7j4x1xrccQAJKcg4R8PTCjOqj/V8g2G+JnATTIVfJsMUQtmpqd2BMFytcv4+5SeLuX3b8YTeJ1U5CkB/vJu1uPvoK9AX2F97443S7eaTRwUTS6ykLMFKi8xJIDX65AwrbivLDLUefSj9WmrmPMyRuel7I88TS133uXI+0e6iDLUK0GQi5rr16Ayr7wFyClif0YoyMmkbJZkd0EHdF0Xxtv8Qix7u8wr0BfZvfLu5n42xRem5M66Ao0RThQoB38ipNhXM5DlL+XxkHEDMATDUnJWpI5Kw5plF8jmHhxCHyhxzPrBYA+ZrDFdFnOlbn0vgVHSe2G8ITIdydYzzS36aUtvVOYok/vd5Mxa327kV6A/sv1h92pHOYZRIxaQtvl0FmIi14bElOKs4IzY846JpD9mm7JsDt2a7beJN35Q5V3m/FypAzQNOTWllGZFhuheLgU1jUMXxgPVyu/2B53kU0JHn+11ov3dujxU9fQwrkAvssxcln3TXX2DMa1BuPsKFgrCSm2NPLRvMORrxhBW3TFzGv4vm2fX16kZedr+ju9gvpR9XpiubLTegPlLWoN5fARqkNSMybKi15YhC+cz2CdGpR9Hlkq6jZRL5G823LVMXduqPYUMWt9yZFcgF9rk35GRnPTzlOs6EAnaMRE21Y3PXAFNXwnlbLHiWSud6pcVzGkbFDcX2OQGZY6kCzFeYYsHJ/7PrKmqsW9r3ewpo1YCrHnA7U53DjqlW1LpQlO3MBit6+XhWoAfYZ89f5JVPPv8kH+OHuEsojsMzYyBrdlzHLSsW15BfS94eBuxkqjYJtxRhw4BtbNs1n2O+ApyuMRwiFTeFYILMWKlhocIYsd/tKvChp11FbUWZHdBRpDP6ePZhcdcdXoEeYH/2W9J3vY0XWMmZ0som4xeelrNZrIgy1NzCtwZWH4XZqOM32u5+IC8DWChzLNYYTtQAjwul3iazln1rjzHUASoodrWkHVBMxUs7A0qhKBv1wRTtdsUKpIB9/rx0v/fCrSr8yumSX6pCBKpijwm+thVoWu7uksZBpq6sE0tGgO4ulEXBcwEdy+tezIJT9pMlCsXiAAnMgdUxgZtAXRYimmJstQFcyrFVG2pdZBPdFdu1GOSoK5AC9mf/+U/80uNzM6HHTnBOViFy5IgVZ8zYsWM2tw+wh7LhttbMjDIHxf2ATSa3GuNKWfbajLZVXxZCCc3EomuTHFFthmmGaB9wywOu+mn/b+MuakdqFcqyUXdN0e6BX4EUsM9dvFZthrVnStypR65wFYU2AE5pxjUV70uxjWdoDLL+irL+MZx5wGYhsdxaYXaqDrxEZi0GfEhhmBaoSWig6K5HgPXJIHgXOvmgCejISz5YZD554LdqMcDNrEAK2OQb3m6VX2A+HzcKsi4rbkxeWjlFirMsi20+b0fGzpWtY5t4mQELHseRCvBUjYFXgBuCtOBCJSg01Jq80CYB8ShjJHbbCf2zXmVFPPVmdkvRdtesQALs8+fPu3/xqf96isM7xUsEGW3miq1bGVs2ATvHnh1POy+Sa5B5y16tHmCn5GrSgHOcqDGUYxacnFAsUV95xU1CiNkoujZRKpGyjJIlZCO1bBa8oNa7ZrsWAx11BRJgUyGAn640FzjzHuEuxUdok5aivokCjagiZfTW35GFSb0stnw7oKauUix4DGoaR8UHliq6BA+5i5K9mljw9Ziam4NjDgyzDNdrZPnqZkDJZhQtbNWj7pCi3a5cgQTY5y5I7+Zk8zTn3kzJEdo3PEOxFYZjEq7ydFtx2cl729w0VMZOr5lm8mM0G1DHyjJyGT09pbXglDJY8dixd5m+t3ZCWZBha4ZzkyzBNmmlNOCFA8qu3K/FoEdcARvY7EZ19VP+eHmSzFxGOZZmxTWEVBYVBWyTCDBNtekXW8421DQvs4oZZx6lpt9qPnBMUWqmNOF0XxWOJSh6Q9UCUX7pZc4oq2gwA9yoaHu18QG3Y6uLEMwRN0bRbHevQALsT/9bOSnk6jO+HwM7LlZnA1vRxTiLSirnWTayK6MVt6l53nIloDZ+5YbD58B8rAF/foqhznQo1rtCB3gEMRtOdbWOhGF7jvPLsbsoydV2qmB6XyRL2N17tRj9JlbAAnbwhJDRHOfOOCVVsL1FtWZcG6BJ85ykRzLseNqztOv5lfE+swHeY86KsyDZZwKFYC7VyLSlqTW9yF59SVBJnm4PDZ/hOPmAb2x8NDY2ZjKL2vnKirRGm9gURdPdvwIJsM9++9aTjmRHyT/cmI0UO66DuhLvM/pA5iQF0n5yth22OSB8M1m+tFit7jfjA8/XORYrDMcqOuso+YJShtH3IdCMr/E5w2woOss+o8T+hHtCvInaMtpvlTChkKt3/4YtZjDaCihgn5fS/fN/HTwaue3HPIc5Ctgxe504qcRO4SpFEmnGLVD3pCI2aZGocxvYeSDPgJouoQwoR8ocn25QOCZTaY4UqBF7mcVFNgnUDaBzMOpca4ThVZTL1Myw4Ea2Tqp1FMAebVMUrXb/Cihgk6nr7avNBc7xmOMwl5RjypTVoxknGbsbZJFQbMtInTip5MjZdvrhbPZRK2wbVJXgqRrHqzNM1deiPkm2viyAq2E32+gMh3xUqiqYRK2NvdrWhBcJE3b/Hi1msIUVUMA+e1GOyY31U3Blw3XgmNzhttto4oEW5xXXtmztfda3lG6WJc8M0BBwW2dG1JpMWy/XucqEQtSa+GgK8iBgk2xN6m6PMywwBIvAldi7LKssS5xQCkq9hZ1RXLKrV0DL2FI6v/Qnq2e4404SUimBgS1DJzZrw35bTioDgR0vTeK0ktF6Zz4msvXJGsfLRK19zVcban0zodbAPg6xKOXtac7JEYVKcdlyNV2mFGYFqHf1/iwGv8UVUMCmonvX/nXrWRc4qDIgxVTZUGKlLIsVaRrbcRpiI4fnsOKpsj2m0geV9uktQ50MnX6bj23WL05pd9YsC05kuC5CPFnxr09ram1AbXuXFdR6ixuiuGxvrIACNiVXuOu2F5kbHjdupCRLx/qy2AONKf9wBetYc5ZEfmU15JtcG+W4InSiwcUKV4XzKHkCacKuCnJIEViJFWZ0MjwBREcZ+6mn0wZnkxESpRaO46gAj+JVrMDDuAKaYl+4VL5WmTwtGZtS5q2YFe9VoBG4ydWr60du0iOZQyAm7iOvpalzTew+sd6n6xynKSe4T6YtoUKzboQavfQaA+RzTLYqnc7fl8tl+pr+9XiXFSz4yI+gaLgHV8BixddfkJD7Eru1JWcnJq9ETU7UPM4tZhRoZnEyXmiD1kzR/9jPhJRkSzXg1YaPOco4SIAmD7MY1MRnUzXMQ4ytLXKQh5lJ8m9rwQsWfA9u0mJKm18BoxXn66t3F/zxiSdY2Er8vA3FNlSYyuIkJi5yLU1s2+l62XoYlh95zrgSv7G4kF6DA6Q0O0NVMStdt1FKoEAv+rPIGY4wvF8HrluU2o6xLnzBN78Hiiv24ArErPhb3tXJA7PSHT/JpVBw7VGgZd1HlWacXE8tTxW7rK5dJSQVjhmHgliB1yRbk8voqRrHcoPhJmVFCYTSiiX2bQ48DYijjP0dgLX4JyNfG0pNWvBCtt6DG7WY0uZWIAa2ZB9Wg2Oexx51orYi1ImcbQE6dkjT9mtVw4s0191MKracbai2lUCpOzLLUZyuOVQBXqxzLNR0DetLoVDacAXqWKM+RRlRpFw9wPnP4kyjxrxlwjEL89bmnn3Reg+vQNdX/OLdRqftPc8cUbI144lrqfIZN6y4DgbRwDbQjQ1hlumrWzIvs4IWsElpRgkUXpllaNSAd2K5OrFxc2COMcyF4a0DnFNiQsoLnqswK/zB9/BOLaa2qRVIgP2JC5fKbq3xHGOlaV10NmbHM7ZqCpE02VWMz7jBsim1qy5OATwf2NRkigFPTXG8NMMgKhrYKhwzftEZcNJnOAy8N65BTYOzgV0ozDb1yIvGD8MKJMB++Q+v1xy//Ijr8qMaoL3AtllxbfLScnY3NVK6SF/PAsaU2ojXpAk3Jq7FBlP26ptx+Ka5lu550mftY8BPAdy1so3aSjNV6rYwcT0MW7aY4ygrkMqgcnmi/bjH5DHYCjTLfNV1LSW+3MqJFlNoI20nxDpLtYWxbgl4YCnZ+oavTVuaV9AvkvPHgegkYyv7gA8spZkxcdEZUYRkjvKkizYP1Qqk0g+f/aO7DTHmPedIoTBsUiDZ/uAm9bDCcpKcPx0IknDiimuP6bPm4JNC9aQJJ/fRMw2gUgYu8TgjisWC13yGR4Hm4SC47Pu+KXlLHRIrnoC6oNYP1Z4tJjvCCqQLBlyQ3kcTrScdzz/MwqDH5JVKusAZKIE/Ue6uUq1bHzdPxDY6M1K7T1GB+jLH8lQM7IwPObWd9RmeAa5O9PqEp2KtCxZ8hCddNHmoViAD7Avs7sR/NBkw76TDnAldC9uixrr0dCxTx0o05aVCzipWAYHMEsbEWn1L70m2nqvoMj2kCfcqFGdt+O/uxYcZEyeAD8ZbreuoVIzCzLDhRbqjh2qrFpPdzArkVttcK7WWGWNzHNpZxcRlG1+UhB03gSIxsBNteawSp/bGF9wMiqg1KcwWa1ylO5qfAW7yriOKaVdjDMeAlSMIPvSRlOixHVKUNryg1pt53EXbh2UFeoBNEz97UVbdaOMF5kRVO8LLsOIpLbiSs03xvkS6Tq9fTLLpD4GZ0gkT1W74wOysTqKQfc0yxYb/fBy4ZsVaF9T6YdmZxTy3tQK5wKYcaN/5s2CBgy9LJ3AMO94LbKNAoxxoxojV34Rt2HCqvUXv52sctYaOubZfdFYcBOTzjL0TpzozGUdNzHXhZbatx15cvNdXIBfYNOkv/OH12tp49Rm3VJoihxWjDEtnUzFytnYt7dJroybrqtDINl5hOitKIIDFOscUhWtVMmx4GMLnHIelDJ4WgiplUuZRG9iFiWuv78pifttegb7APntRch6uPuowd4ExSq3QdUQx6cJ1bDYpzYzfuIa2hnMcERJjnL4j1ttjQCsAXp7l4HUgVJ1105fSx31AtE/Km4s67ZEJ+KCeCm34th950cHDsAJ9gU2Tp+yl791tnYTDDrpUL9tkLbXzjFNDVfJHm73ypGxzKDRIgx47obw6y8EaaYcUhCE45zgChMvr6+961SpRa5NMgYBd5DJ7GHZlMcdtr8BAYFPvZ9+VY/7P1k86XB7oyVqqQB1TbMbIpK1zHFmO4lo+F6h16bhKL/zSfg42lQF2XPPrKGPB00HwM/g+JVPIk68L99FtP/qig728AkOBTRlMf+315kyHlZ5mrjNul9fVrLheHiNNa1lb89+aKdeydZlDV+8QwPMNjrkZIIhLitgJDv0wxDHGmieE+Dl8n/RqRhNesOF7eScWc9vRFRgObMqJdlFWV93Wo8xlhynvuDJvxWjWbqWWnG2hnL41Ji6yXzcV3gXONHzMznXzmNlpiPcD0VIUfbCvVCIzl6nsUZi5dvSxF53t9RUYCdi0CJ/9TnOfG/EnwR0yQaeiukzWUr1Y2gvNUHaPWHRV7pYpZxXSqp+a4licS5u5DLgPA9EzQvzM63RuYnzcJFOwqXXhlLLXd2Uxv22vwMjAJpb8119fmQz52DMudyY4odTEaptCXvFwTCgnRXARkAm0bd1cacaXqNjerM5GmH0dAKIXBtuvC/l624+96GCvr8DowP7FSpDjyg/+ojUbcu9pTimUYsHaUGyTaMGw6WTaoiYEasOhz1WAl+c5hJ8kKFW/Efgp9/Eh4PZR4Kq/unob1aqdgdRoxAtg7/VdWcxv2yuwKWDT3b76rhy7da3zpBNFBxng6OqbRs7W49EUmymbNRF2EWcsNRT73BLH5czQCbXkRnoK+KCi3UjtCh/GKUUdEYV/+Lafe9HBHl+BTQObWPIv/OnafrfiP+k6YjxJh2Rpx7V7qVGpdb3QTADIa8c4VkyR7ZheE7AbzKdMpJe99fUr5XLZFLBPKc4KUO/xHVlMb0dWYPPAjm/7pe+sHZTMfcJxnarOWNr1ODPupapprAnXNnCGk3VgcZYDfqh063ZI5xiDfLoTXZ8Nww9QLtuF9grHlB153EUnD8sKbBnY589L99+/trbPi9iTTons20aO7nqgKUdRhVzKP67l7VMNhhNzHC0WZkI6ORoM4rFOdKVRKn2Uk2K4CPx4WHZlMc9tr8CWgU13JpfTO0FwpMPF40w5nOrSP90XRX0ZwGvqvVwHXl3keF+E4JmSnI8xFh1ut39a9Tw7xXDhmLLtx1x08LCtwLaATfL2ub9YbUifP+7yUl1GoQrx1C+jCic7tqbWTAhVFOBMLGPHonjcMsQ88ynH2U+rOkSbAG2nGS6qfDxsu7OY75ZXYHvAjm/769+/Xecb/BnHL08wYVxN0j7jRLlJeUaF94gVp/pchFoCN7mv0GuC+dEp4KNJgKK6svnDiRUvTF1bftTFhQ/TCuwIsBXlfvP2hBuOPRExd39X3u5SbhP59VQdODXP0eZxqCaZxAjYgsI1ebTI2If7Wq2PUKkYrbhJrkC5wwuvs4dpdxZz3fIK7AywVY1tyfDIxiFEzjI49xBTbps1J5Z8vsLwynGOdsrcRfq1EHOM4xGwn06vrZE7KVFs41Kq8psVFHvLz7m48CFbgR0DtlamXa7cweTjkGzWYbxEYDXmLBMIVvOAzx/hYPW05xm1LQM4IdnNqMPfO9z5YB0Th03ywsLr7CHbmMV0t7cCOwpsGspXL8qxZmn1OPfLRyKEJQXfMM6NFlLaYYbn5zjqjVjGjrl1YsdJBp8OePTHfyubj5RXf/6F6o1b04uLqeIAhYPK9h54cfXDsQI7DmxatvMXJf9h+e4CL40vRe3AtWXuCgdeO8ZQayjH025aJEHpz0Js3Obyb36O6FIzuvlko/3uP63fvourV0P87GcRzp0rZOzN7kspHTgO6SeK10O0AvcE2KRM++p78O9eXX+Gl7x9YZvMYBrGPqeyuQwvLnG0EwGcvNC01nw68KM/+vcB3mpSyR92VzrRjboIrp09WLvztdNO6ADFJh1xg56Xkk+/o0N1/EVEU0B0rlBAjrh6u7vZvQE2Ue3z592//cx/03CEfBQlNsNUDRHKdspUeZ/XFjkYZSlNqLZ+Nwkur/wM0f/19yFrCl8lZ2i3Nm5LFv5o8u3q7dfPO3Zeht29+vdi9L+g0OcBB29ijBYzCJsl1GrwOxDjZXSO3kTn7WVEbwHyQgHye/EEHog+7xmwzex+6427jY2w9Dgcp+50dEJEynl2Zt5XxQK67Li+whOAvMujf/m9wL0tGJoB0GwLrAl3LRDRLZe7t5gcu33Kw9o3v+zYbm4PxIJ+XIO4ICV7+z2U0AJv8uaY5zqOP16VQQRJidsnDiK6c+cOxiIpMVGPIK5HuH69vby8LL75zW/ixLlz8jxxQwXb/nE9wh297z0HNo2WUittlNafdCD3k8mLsqq8PAssLujcKuZFKCXNeOc2j/7ft0Ln7+/AIWC3BGVb4WgLBkcEURTJpt+JflIN/+76m197LnxoNyNR52/AOfh1sPd+1JxY5Y5bY1V3DWsoRVJWK9Wo2WzCi2rSr96VqE5EWFnB2GRd3r59G+VIynI9kq5oRKyD6O5hZV6M8A3g618vnIF2FGn3ubP7AmxJoZ6vN2ckc5/2SuPjTASYr2l2vF0xOcU1wAnc0wHkn/4t5A9uwb3dhqbaQqAdAiGB2xVSRizg6Gwwx216kbxSfmr85punHdqYe/3lSCnxX70Dz2+Bsyp4ELQqlQpNu4KOXJMlOS69aFUGEtKPqjIYJ6rdhKzUorEJyDEJidvARv2WLEfTsiohWxHkWgQ5ISDvhu/JXz52LPxzIPp6rNMorBG7a1vdF2Arqv2W9IImptj6xqOiFE1PUFKFBvDUQlqJRm1V1pUPufhXPwzYSpup7KYrbVKmUcoGQj+V/VTJzOEIISQx7050QwTRWqUkAjdcXf3B78629hIlJwegE8+jdNmHO9FarW6ELudRRXqlddaJIEuyLHnUkp2y1MCuQAObQNxsIhivSf8O5Eb1jiR2nKj2hoQsR5DVBuT169cxHkVyLZqVqmrxwYPRNCAPAPI2IEnx9mWi5gWrvisQft+ATatBlPuLf7q2H567WHLk9PEJ5ry4AFRqJu9ply2vBpDf/zseXfwoZM02sEIseSDQJtgLzcDrxC0MppC3IyCcSLZciJ9Plf07t1q3OpWoI6bnZ4PXz0Lsqk1JbPbrYK/j/2/vXHrjuPIrfuo+6tHN5kMiJdHiILai8XiEAFk4QDYB4lllM1n6K2QZZJmsMvMF5osMAmSRZYAombw2WuQBA+NRbFnRSKFFkxSb7O563X/m3Fu3WWyStsYDSbSnG2p0F6tbXV1dvzrn/7i3gHt4nrtrxSAbrSQiyGw5S+osFyMQI1OpXSGWzx0kLSCVwIN9fHwM/j2qNiGfOcipah9g5jZk6y4cngNU7dWbkGfPAK/cOxA8Aq41EGbV8QB49j7kHiDL7PrV5vu1gs1dwXHc//FH443G2t/Pkaz84B3gnbeCCPdvTKKNn5v2nx42yUf7UDHWLhs2tnQpN87K1A0WDbOiEvJ4/W5A6raBTY/Stv4sGRXHg8P9trh9rdp6jvqqJd64X57+EPrjMeRtPDL5tc3VJFmpy3RSZErnYOc8v5qINA6iM4gWSJ7mboopCLUVkcoNxBa045DKUb0hMYnWB9vH2k5ktr4hhduTFdn0dhzYBVWbYANPcNTs+PIi4b5VQQ7uQd4F5Dkt+k+Bjz6E0K4vrfrVAv21g+3h/gcx/+lmt0tXvbexspr9yXstNtdDLbt/W2sh//WJcX//caP3CLpX7Q7ss4PHTt/mr9l9OptLQiuqtJB5qzATST63Nt2rT07aLEtUldWz9NbasY/Pu2TUj/76FWaHu4aRD0U0/u1Jemtrx5UvkNduutpkbYlZO8yz3JYlkHX99NbCeZhlJloyaVI+z/1yk/Fx6tXaFiK057UQcghOTiCbQ4fjY4yKkEjLVkRmtOL+vi6z9WDHOVI2wr3KeHsbgidPcLSzM1ftW3eDLadyv/s+5B+9m4B89CszFmNx/hBLyN885G8EbH5tlmf+9p9frJaN/d07G/rWH78HpRdmLuXr1ATyN/8OPD5GMmnCRQcIt4+2Pdz9yZW6K5IsXMQgIdgKEqZli2cEPkqlEvUCSp9o1Lz24CzXs8/NZK2us70k0daY4dqUCv98635STD/Qn9+A+9P30bI09GcPYKiw93+QNAwzfnAfeus55Kcfwn1wH/ptwDz6AM27D5AcHBwMMNzQODlo9fWNoarKF2x5sAAAEWFJREFUoUuzEzMpR3WWWKPhTFMlyqQiBg5VCWtSpwSiUwSYpwRaOrAD3CaD1HOwC8FkgqpTb0tbTtUeMtYWKZkd99YcUs6TaLTjzI5fk6lAhlsQ7FK1nay226d2/G3IPiC8vHEEm3vTKzcAws3HxWQb98sS9NcP+hsBmz82kl999I9+lPzlD/98tFfl3/vD31G3vnPToNVn+084Xnv3/0x7/+eN+mUH9zyRNgf7FFjvzD3BtObh5lXb6q5jrYWhiT1zhVAgUdppaZpEdCmpUZpb2NaVTvShstCiEqtaOCPtvjFQs7rJlTbTVZtPZ+1s4JTKVepmqcrbtjxe0SqzXNZtouqkKZSxYp1UUE0KWIYQziVVYrT18Da01QJRhs8rscY6qjOberheVuAINjBDZtccVZl2HLMZZC13jLe9Sk8m3pbXIhLAHnZgo6tpj7G6PXJMrMXs+MBBpuvw2fHnAIa9DHm049fehuAhsF9Btjs73gf7w1/Z8R/3wI67vnv0Vt3/7ktFfy2UvxGw+c3ij/zgwQPzk8Pf+87GQN75g+/mg1ubbdKvbXvVLiGfPYb89y7w8T7UHu04E2iNnsfbcW/NQ/Uw2ZqH2ys2QVZafId6B3aiIH691oKmDY88L6hGgoU3AhVmhRHoVhvTKmmUv1BCi1YsWqWgdItE2H2jjFMuUToVp5wfZgolRrSCawyhrEGQ+X8TYAKrRE6fW/j42au0DesYR6s0Ey1liK29gos/Efjnkkvj4+3OjkshVU7IQ9kr2nEqdWhWOQU71rQHApl2dnwqm0Kwacef4Rmo2hs7kM+6JNpldpzflXD3jtp4bMW/zdctFfzVs/3GwfZf8f6P9V+ZvxjV2eDue99xW9u3jAmXEAg3gpW2kP/5JeRnD5F8coiETSucs5z2vCuCnXm9X+iuBBrADiruLbkHOywbBSHQhNxPke6XeYA2oD7zeaJFuGj53MX1wQmE9d1dRFKBtNqKLzZjCq0Ll2pIXdfQOZwSKwkhrwPkyogH2Sv2AthzO55mgvIIYjIXVZpqLjafLzdOJFsvXFRtyQbhOU6QstssNquw7OWz4yx7rUm+xpr2AZI7Gw57Ic5m6Wt7Y8s946w2C9nxOdjcfTHWvg/c+8Bnyi+7nYN7qdyvFu43Bnb/a1G0cP+++rvvfZA+3Ctv3Xk3+36atXpRuQneJ48hP/t5m+xWmse970qbxPp270QQwQ7wag+tn4dJOtXuVLyv2kGlGYs3aMUIIfcHoA4ZZz62qrO83uI3kugOfg+5eKVXc7AbeNAN1xlJpA4qbQh+VO2qU2zbAc7lNKi2lKJsGlTb2/HM8TlmJTKbudlshnQ1d7TjhkF0VjhMpmBNu3ITn0wLzSqsaR+faVbJCPtbXSdaL4nm7Thr2tdDTfsM2J0dZ3b8zj3IAwDMkHMffXD2OF0cqNNfPrNuqd6vBvCrAja3g3f1008w3E/qt29cT7aLVZMGPe7F3SXwdA/uwadt8tk+kr1S+0sIcboVvoylsGDHu9JXP9YmqEp7qMJr2rlNN1TtmEH3M543ITZX51W7ZXJqrtJB3VWae4uNpvYnAsX1hJ01ZdpuJ0I7TkD91nm1jsuVV29UNYyx3rYrG6z23I5T1ZlAi3a8n0TzNe2pr2ufNqtA6iJY8tQNffdZaFYBaMmzlbOqHe14ABsYXt+VVXdTLlJtbj+Ve8F6Xwqvj2TC7dzIvCXY336w+Q05dju5/xz52GErXWt2GpuszqtXHeCE8mRi5OHTBv/6EMkXk6DctOYlTwT+PBDBPp0S2dttH0N73fNx97k422ofGxNWqxljE1aCq93cjtOuSwCe67wVn9vys6pNqOu6gc6Mo3rXC3E26goEPIJNkBsLMUXqONujNeK0t+IhiabTUsSuOsxeINpxJtT4jSTNXSh7hWaVyWQCOg1bDEUKuDNgu64LbXWtS6LF7LgLNe0uO064Y+lrg6UvXooJkO8CuHsxsBdBzL9dONx2Cfa3GGx/Ku8ypl65HzzQeL9I/mVyb3OcNu+KSUYJdNIGXe702GBSNvjFUyMf/2+ZPB1rXwbzwzzDpC2dJgdl/qokmgd+rtrhIPQxancy8GBHFSf0Mf72JwiCb4Jie+tee/AJooe+U+aE7zGdHfexdi0xxmbsrZg4Y5zdS64RbH+a6ux4k5aiHZNpofRlUmbAL0ii+Zp2lx2XoVTuWOxwxau2V+xzXWjAYB2yvw8U66FhJVjyLZ9IewvANqHehuycBXoR5EXlXkL9atj90v/1Sljx/hZ2gHtb/ugRzBc3sHEyqG+VTbLVmiSPahoeWddq0JRGPv2iwYNPkXy626l3V7EuKePdbZ5EYxzNP3toL7DjwTt4u01FntvxLs720LsYXxtfglIqd6cKHlU7QJ2KkTbG44S/rr1K044zU064Q9mLsXUVYu3uZHAmOx5r2rHzbHoW7MWadl+1h9nQHSO0mI5urrjxETCvabPN1CfRAtwxQ/4ek2ebm3LjOXB9C0Kl7nZlH9bLnnfOZ6nUb4BrH9deqdsZ5SZeDx9q3L2rPwVGn6O6+aLVt52G7WfNgyaDSV38/GmLp4fA3gQ4nOhg0Tvt9pfsjHF02yXVurXepmstNta4u4YWD6svBUXLrb0KW2/HO4W+IDsekmjBstOO83OZHSfIXpEJqQeb5w0uE2jbK4NFuCuvzNaMXKxp+4aVKSRdyXz9ul/T9tnxtHC04+ebVU5r2vOBIV3DCvvHy3XInYNwONzhfcOTLBwMshAnx+VF0P1Msr37pcfW0oK/WuyuHNj8uufgBpJnz57Zo+3t9c9R78yQrAuSzPmE2/kJVZgtfzEx8uBRmXz0lJ1qYWImqrcHm4OOCbANJa4Ya/symOkaWrqsuVftOdiMq4Mae8t9URJNGQ8ry108ARBmfmbMgidO5tbcW3XTh/lr1LTP9I6zpj31jSY+iVZwxBcdw4lUrGmzbBiHcw5XfE37ne2RPzFcS5B8nzPajMdYkZHsrJ4BdBHgPrx87q+rFqeIvuyQXcL8amHu/+9XEuy4gT1bzrhb4f33GSpnnwGDfWDjBXCjAlacT7qR0NMx3Vw8mkAOJsDeGNg9An7xrE3GMy1xEIkHLta4YzLNx9mxoSXEyOYSOx7BjrH35aWv2is1FZqvoRVn6cvkg7PNKl1N25fEYk2b2fGSkDF5loo1mQtxdjcQxGUhG+63n0m0XIybisljhjzE2mkx8KO+ePVEjvy6nSC5ewPJZmeveZUHqjMfVgKk/hzb3ReXI8xxvveo1PE9547gJdSvD2ovLK/34379T7tAvX0ebH9/P318bXBtDHOb03kJTFqjmc+I2v8kHn2TCfDR0xYvJlqOJsBxA3l8gJBBp6qy84xwdN1ntOZBmWnBTafa8Nnx+d87xfY7UrNbLZbGQtnLd6Kxpm1EUDeISbRUh84xb8fzgYsxd4yvWec+jbV7NW1Ju460Uxs+m5V+xBfh1Sx7ZWzAgdS++wzCGWn4aJNpcmdQqFtF+NtO4X97PmcnjQd48bED3K87PDyUZn293QzQc6/5ZvveCWAJ9a9/eL+yd1x5sPvf3DeyhJNR4mPv0cjg5k1DBd+rqrWjNL3t0BYOWs270eK1xDRlnYmuBuMJ8Oke8GgP4keLceTYDMK7b1X1VlpLYuH4dtM1pszLXVq8vbZsOe0y5aclr7Nw+waVGIPHmrY20lzYrEJQzta02ayipfIlsMLXrrNQCy+PwFibGXLCrNlwwqx1nqORmWwWeXIvZ3kdwkFiN4EkY295B3C+AHOEnHb6hP3iYb231y8AtxamgZ9fp3wB6AuhXqr0K+P2K//jbxrYcXvnDS1dx6k6ODiw042N1X1gpQIGDZrBIczaqU2nxpzG40ob4dVHKDuzxsjj3QbP9iGMw6eNlt0XkElDqx5UiTY2KrVSLH21aBWTbaGrjNlzZr5Z++63mIYEGjvNWNo6rX1rH4vXoTY9z44HpW7FSsasec+Sh+w4hFM0s1ecNeyNrEwYFlcCt1Mk+s4oVYKKVhrbK3xlxX+Spqm30lGRM8BxeHd2Cq8Q9GmA3vE+DIocL9YQ5kK7OCu+hPorMXv9L/hGgb2g3n24qeCK2XMmmZ8cHaWHq9nGMdRm0yRFbVgGTlKKbz/hFhU8zGlO9WWCjba9waP9zpp2TS+f7Om2PGmQZEY4vmQ8hRvPQrmJcDsNadisEu14p9JsOPGdaL6NNNS3rW9ZpXUOcLPsxGW+ZmA5cIRwQ9bTFLdXoMZO2qEFdlSi1cC6poS7nUHfGCIZV3DDFNiwjCRqsX6z0y42rlg+cFwm1CnHqc4tdykZMpkBjoDn4Tpp5Xg8ltFoxIaB+WWVLrHcFzac+LBkOX3S6yd54RO/6WDHr+Pr3rEt1T8+f26wtaUxHpu90Sj7DNX1CdS1umkzBa0qkxjnY/JQC1dRjXqzPRjdckQHlZvt2cKJD+oWsvdCuy9OWhlmwMBoHMxatzsWlxtgaAym0sjhuPGJsuuFSaDhHu83biU32CiA8aR2TiCbhU2uD+rkiwptYQzeGiRqVAD7E2n5/GZhkr1J7UbWypr1Y818Jt/b6LoGrOUYcz4PGf5OlS2ss4S4qmCDWkuFihdk8IqcInUl4FaBkipdhI7cSU+V+2WrviIvxtR+/y9BfuMcn9uAbyzY8Zv0kmv+GOvdCXofdja36C8wtYelKvYzfaMGcmla3RqdVEhsg0brDnRpaZGDisdse1D4cGVQP9Ua17RsE2XmHOBEEdJo4UnAmBZKa2nDPG1uxTB3xpGjxh2XM6xoA2MaSANJ89zZhhc58fLqmNyCX8esm58gQowJ8bxfbsJyg5ofLoW1PgEn1goVurPcIPBibWtRiUVaC2ZT9tK4PC8HHHp2el1EqvVirTpmwiPYFyr0EuqrB3UE4Wpu2dfcql6JrA+6wpMnGjs7EXx9DGQrfoIW6L2yzA8ytdkgobzpsoGtTZuRVQ0jDWNzHQeOGB+rM0afXyrYnwDCNb79ycCv5xhvfzHCAIQP71toozkARZrm9LnnuHMMXCcwfraXBo3nO/wf/BvB9ieXoNQhweDVla/nlgG1o6kurJ2mQYUZnhDiCDLft5jRvqzhpK/W819kCfPXPDhf49u+8Yr9VfvqTC38VMEXrbuhZcdoJCcnJ2bXmNVWqeHAWlpYGSMdTNGMXNMqY3TDhFyFhPMtchKGAL7vNSd6DUeHerVv2ybhoyKrXd6OkPI9Efb5cjftKtfN18MgAz+OJwIkQ2OaGlMxjUVupFU1Sljr4SuAiXAcZ56rPFhrghwy27twuHmu4WRRoReXz+zaJcxfdaRdrfXferD7u3sB8kXbfnb54EBhY8OL4t5kkg0HvE4o8Lws7Umm1oewiaLZrSocpGrNehFHmzZo99EUKRJtoRvCP0NrDXTCMajspKkMhdwkCg2XG8dTQtMkuUEpDZwz3tW3KcysBWwOtK6qZoM0nVRVldo0nebsRjltJOlnrRe7wqLqXtRkEndPH2r/tziV0RLoqwXsy27NbxXYizvlEtD5stN6eXiTxt5egs1NgMArpbC2RhiS8XisR6yn40Q4W9hkMjF6MCiY7p5Op9IWRZ4DxgJTjjg5BoocUCNguj+dii4KgptkwHQK6BrI7HQ6K4qiOgGSYdiWqqslL3aCXQQrf9OLkl/9GPkcyP19s4T5ZfG5uq/7rQb7JUCPL+l3tHGfxanVIiz9WdGj8p9hpVcyunCfcwbQbrCF7wi7YPzyZcmsxfg4KvRLgbyE+OrC+Zts2RLsL9l7C4m4+MpFcL9s2at6d4+g8STRBzf+BpeBeBHo8f1xXd9SR7DPxcjLqYB/E1S+We9dgv2Sv9dCWW1RjV92OYJ+0adGsBdhXYT2S8GN8bF/0XK635f8db99L1uC/TV/00XQo6X9khPAZdb8a23BMrn1tXbbb82b/h9jkBzrCo8J3AAAAABJRU5ErkJggg==",Tr="data:image/png;base64,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",Un="data:image/png;base64,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KZ15yza9Dm08sP77eI/RrVRzduVMDjhKrYm+mUkMICIH1TcA+eZAvh20XqQ+XoKdrzfcoE4O1NbMiQPx90zD1jpG3O89BEdRAAioXh8olQLk4aDD8mywLpb+9L2irtqShBuJLuhaTr8IfLy+4z9jzdyDzjh9bcLtODbynJzH9/m8sSX8q5cA6Z6RnX3q8BH9fPjg/aFOqZ/3FVvAfn1jcebHYAaWdEBACQmCFCKxFa+IsNIre9tg9N32SXwuE4q7nv+EC1/O/B4PECjHsbxixKvbHSWoJASGw4QkMXH8F7FOH2nKo3PgIKl94eEYoxi1k//AK2CcMLDu3qXd8BXqqOm8ciluIXbojEIFoiMFQFCYDUdhN/HlPTGL6+lBAZd75IsQu2rak66jc9Cgq/7xnwX3Gzt+KzLteBAQ/Jy9NKX7yB6h/99kl6Sz9q5ch/uMndezL+CYQpv6+KWR+7TLEXtS57rFOaPJXb4Yp1Y+1G2kvBISAEFhVBNayNXHmJgFVx7Z+bM8PbnyAzr/q59O1I9P3GGPOWk2k+7YqnnyyAcVIrIqr6ejJXISAEFhpAum3Xor4i09uO2z9BwdQ/MvvzXov8cozkPq585d1msb1MfnmL7YdwzlzM7J/8LJFjV//zj4U/9ddQdvch6+CtS27qH46NSp++m7U73hmQX2qLRnkPvByUCq2oHa9KrNlM/+7twKe7lW15/uZ33whYpds71ivcvNeVG54KHh/YPflsE/f1LPPxVRgl9rJt968mKbSRggIASGwqgmseWtigy4R7Y1vHriEzrzomr8FzH9ZtdTFqrhqD41MTAgIgdVDIPm6s5H86V1tJ+Ttn8b07902673Uz1+AxFWnL+sC/GenkX/v7HGjAeMvORnpX7l0UeOzdZStpGy5G/7MNYCzdPsCeULTH7gd3mNH+54bW0eX00Jb/r8PoPrVJ/qeT7uKbL3N/EZnt1j/uSKm33sbjBsK0sFPvG7JXXqjeXlPTWJ699K41B4TFGksBISAEFhCAuvCmjiLB/3d0vnHLCFoYwxdd9116r5i0bamnZhfdhOW72e0b3IK/rBHekSBRo3GKICt208/442+tnNiVVzCgyBdCQEhsKYIOJdsR/Y3X9h+zq6PiV+6CdCm+X72d14M53y+hM4uvJfR23skeFFty3Z0T/WenICeqAT1nPO2gJLOvL7q9xxE8WPfbTun1E/tQuKas/tmzG6RplCDmaqg/Pk9cB8cg9qcwuBHX92xD1P3279HBOqwn5MbTL79yzD5mT2dvSbJ+xJ5f2K3Urv1CfjjpXlVeN9l8nXdHXrYRTP/zq8uOrANpRzk/vQqcLCdTmX6g9+C90h43ClhY+ivr+m17EW/X/vefpQ+8f1Ft5eGQkAICIHVSKCdNVEZN3/o6Sf+BcBzpDCmYcZso8Y1rAllUd63rKKVcqr+gFu/KJPxbrjhBk1EM1/Wx3mhq1YoXn/99XTzzQetWGzSrlTceNlMp6HtrCY9SNpsNtBboDFqgK3Zoc0X50a2vFjyKh7ns0mGFwJC4LgRYFE3+OGrOo6ff9et8MeKzfdzH3ll24A2vB+O98VxSf3s+Ui8+oy2fU5/6A54ew4H7w1+8mqo7HyXy8q/PobKP/6wbfvM256P2PNPgC7UoPM1WI2ANe0qe48fxfQHvgWY2d+d9q4tGHjPS9r2r/NVTL39K23fY4HMQrldMVUPk788L+dwR67dLLlRo9qd+1D6VOgq264MvP9y2Gd0d/OsfuUxlP+pPcteJ136zRcj/vJTOlarffNplD47kzqLhWLswq2z6sdeeBKci9vvBeUfFyp/f/+s+sn/fEFHYVq96VGUF7EHtNc65X0hIASEwPEi0MmaWBgfuzM/efReAp6DwhhBHTaKjiijpqC8QooGSsmkU6vXh7yrr97u796924hQ7OMoilWxD0hSRQgIASHQIEAWYehvrgXs9pFPi3/+HdTvOxTWVoShz74B3GZuabp1cqCYLnvapn77q+BoqpSOYeivrm57HEr/+17UvvF02/fYAsmiLBJ/2fe8BM6uLW3r1u54BqVP3z3vvfgVpyD9ixe3bROIyz+6ve17iVechtR/vbDtexzIJf++r/d1XgWC810/3jV4jX9gOnCzNLUO1s2GRTb77vaCN5oIu4Tmf+dW6KMLi8Zqn7MZA+/tvBeUAw1Nv/trXa2VFLMx+OevCoIMtSvlf3gQ1Vsen/XW0GeuBcXauwTzseRjKkUICAEhsF4IrEdrIh+bVWlR5ImxUBSr4nr5+Mg6hMDKE7BsG8NDgxgeGkYymUA8FrpG1uouKpUqJiYnMDE5Bd9bROqGlV9OXyNyREuK223runuPgEULF2skhdyft3fZZKGkG6kh7LM3B0KwXXHvfw7wNZB04JzbPu1Cq9Wx1wIGP/YaqE3JttU4AilHIp1bUj/zPCRee2bbNrV/34fSX7W34iX/0/OQfE37dvW7DqD4F7MD/7QboJ/gNSwOp9//dfgHC72Wj+wfXA7nzO5WxV6WybmDsHvtwB9fCWtb51QovFZec7fCjJl1u8KW2/xvfRUcuCgqaiiJwb94Tccup//7t5ruzT3BrJIKG/F6skrQyzSEwKonsF6tiQx+1QpFnpxYFVf9Z0MmKARWHQGlCNu2bcP27dtgW92DnHi+j4MHD+HQoUPQLfv3Vt2ilnhCznmjyL67vevlUg419Vu3QB/pbQEjx8LQZ6/tODTvZ+N9bXNLN4tn9cuPofKl+eKS+8j86mUd3SirX96L8v8LI392Khy8ZmD3FbBO7J5ehCOzcoTWfgqL7ezvvbRn1en3/Ru8ffme9bhC6k27kHh9532g3faQRgOwGyr/qNDOtZjrlD/3IKq3zrYmOmePIPu+zmuZese/Qk+F+1tXe5HryWo/QjI/IXD8CaxXayKTXfVCUayKx/8DIDMQAmuFQCwWw1lnnYFMOh1MOZ+fxpGjRzE9XUDddYPXYo6DgYEsNm/ahFwuvNEvlkrYu/dx1OtrLK+brTpa8+YeM//pqWA/IJdurpdLdqw9jQlOjTFnXyH375yzBdZJMyJLZeNdA9tUb30Senxmf6V7zyH4R0rIffDKnmJtoespfeZe1G5v7y4b9dVX8JpvPoXSZ+9b0PDsIsquot2K+9AYCn96Z89+rZNyGPijV7R1L+bGpuwh/+5b2+a4bO08efVZSF53Xtvx2G01/85bmpFSo0rdXII5wNDkW9qnTOm5qBWusOGuJyvMV4YTAuuBwHq2Jq56oRh8mUkE1PXwOZI1CIFlJ8A3dc8771zwY7VaxZNPPR0IxG6FBeNpp56CRCIRiMQfPvTwmhKL1ok55D74E32xbbVEdQpSw5FF9YGGtSoZC1xU2xWOCKrzoUVIbc6AUvPdXf1DBeR/92tt22d/60UdLXr9LCb/B9+A/6NJdNsH108/7eoUPngH3EfCID3tSj/Ba7xnplC4/pvzBFSvOfXaTxi1L3z4Trg/HOvcnSIM7H457FOHOtbptn80asT7SAc/+qqO7sflzz2A6q3z03Z0c+1tl6qlF5fj8f5GvJ4cD84yphBY6wTaWxO9/KGnH1+zkU5bj8mqtijyRGWv4lr/CMn8hcDyE2D3sF27zg0siYVCAY/sfbzvvYe89+ics85ANpsNLIt79jy8ZtxQOXk6u1/2UziSZxA8BgjSaHA6jbmFXRpZUHKJv/hkpN/aPs9h+f/cj+rXnwzqDbzvZeC9jHMLB87hADrtSu5DV8La0d1ts9uaJn/lS2D3z8G/fG0/S19QnanfvKVjwJh+gtcElro/+Dr04RkL6EImkH3vS+Gc037PZ9RPEHDn97/R1lrLdRJXnIrUL17UcVhdqKP8jw9iVgB2Y1D/3rPgHwuiknzDOUj+5Llt++lkTex2fvF7/bi7LoTXctTdqNeT5WApfQqB9UxgvVsT+diteqHIkxSr4nr+mMnahMCxE9ixYztOOvGEwJL44EMP9y0So5FZLJ5/3rmBZXHfs/tx4MDBY5/UCvSQeN2ZSP10+yAjrcNz+oKpt325+VInoVa/+wCKHw8DubC7IbsdtiutFi0OWsLBS+YW3rfG+9falSDiapc8ht3QRWuxz9qMgd/vHM1zMfg5sujkm29s27Sf4DXckPkxx8WWftdV/PTdqHeIHJr59ecj9sITFzQFjk7LVsaoqJSDgY++GvzYrpT+9n7U/i38sWBWsRVyH7kK1ubQ/XveeXHL4+Aoqau5bNTryWo+JjI3IbAaCax3ayIzXzNCUfYqrsaPiMxJCBx/AizyLr7ogiBwzZ6HH+npbtppxuyGuuvcc8ABbu6974EFi83jQSL9lksQv3xnz6HnporoJNR4359+JnQ9tXYOQm1q73rqPjoOlMI9n+0sk/x6+e/uR/W2+UJCDSfnRVwlzugR/DTbpmgza5uj/8RRcNRMDoBDA+3TNfQE0qmCNtCT84Os9Bu8pps4XsicuqUKifrhNBmcLoPF7dzCgXbs0zu7nc6tH1gH3/01mHJ4TLkk37gLyWvbB8LRExVMvetWoCXSadQu/dbLEH/xSR2XW/jInXAf7OI2uxBQy1B3I19PlgGndCkE1i2BjWBN5IO3JoQiT1Ssiuv2syYLEwLHRGBkZDNOP+3UIHDNw4+0j3LZ7wDnnnN2EODmiSefwvj4kX6bHbd6zoXboDaH1rzUdeeB95S1K7U7n0HpU2EeQhZqgx/vnLpgqRZT/Mi/o/7gc311x8KCBcbc0s3C11FY9jVil0ptgu/0E7wG2qD2rR8BLa6bPIr72FHUv9s98mlgGW3JaUmDiY4WudaZl294CNWb985bzOAnr+4YpbTdyosf+x7q98xYQTklyuDHXg2OeNqutLoet77PbqrsrtqpuI+Mo/ChO8CsVmvZyNeT1XpMZF5CYDUS2AjWROa+poSiWBVX40dF5iQEji+Bs848E8PDg0HwmsOHx49pMlu2jATBbSYmprD3sceOqa8VbWwrDH/mWkC1v6RX/uVhVL74SDClXqkLlmre+XfdCn+s/T49a2tmVr7H+EtORvyVp88bmvM+Fj951yxN6O+fRuoXLkD85acu1VRn9TP9wW/Be2TmRwI1mETssvn7OY0ipP7T+R2jikadzhVhcyfNVlsWZd0K7y2t3jRfEJqK29wrGrWnlIOhT72+bzbt8kYmf/o8JF/X3u2YLZmBNdGbbcnkY5j+lfZ7WnkynAOy8vf3Q7dYLfue5ApWlOvJCsKWoYTAGiWwUayJa0oo8mTFqrhGP1EybSGwjAQuvOB8JJMJ3Hf/g8EexWMpvEfxogvPR6VSxf0PrO59VK3r5ITquQ+/suPSi5/8AerffTZ4P375KUi/5eJjwdSzLQdEmXrLjbMCo7Q2GvzYa6A2zexr1IcKUNuy8/plF0UOINNaOCgPB+Oxd23pOY/FVJj6jX8Fu1b2KrHztyLzOz/etRoHjcm/4ysw/nz30KghpwrJvvclXfvxfzQVBMjpq9gKdiNQELsPp3/pko7NWLRNv/u2eTkNOfoqu/a2K/poBSzg5xb79GHAYh/iOcXT4Ai4rW6tfa3jOFWS68lxAi/DCoE1RGCjWBP5kKwZiyJP9nhFQA1+OTDUpBVCm/k7/ItgYEBcmcK/ogZh++hPfi8s3GXUtlmFn3D7meZBn+wNFW7haW0ftuJXovbh2Fyr0SDy8OHXW8bjuYbza7SncIrhsqIeWz61jddnnzFNEkHfYftw7gGHgMjMjGe2IDVm23ghmDG3NyG/EEFIsPUkneHQ0j7iEjCaaR8uNuwhIha2bxyjYEzTPK7N48e1Q4Dh/xrgw9mEN0HztlI12EREw7VHzXk8NQtb8/3otJjTPjoG4TnfGK/l2EfdRx5yAbOIf4NdUN00zsJoPY3j0qzbAByesq28w+MR4Gk5J6K1c32tW87HYHwTeJNFx2/mM9E4pxpwmuO0nCMRj3CtM+dpsIQGb2p8/mYd1QhzA8j377oH2vdbTtqFP1WWhRdcdknQD/e3VopzwVZk39VZtEzv/ga8pyaD5ahcAjSc6Lq0xE+chvhLO+99LPzxt6FrM/vZ5nXmG/gdksJzcJTBVouXNvAPFNrmQ+SgMLFLdzS7Z8saC8XcR1/Vl2vmQo9fV1fXOZ2l3/YCxH/shK5DVL/2BMp//0DXOt1yDkYNORpp8RM/WNhyOEXGH10B++TBju36yRm5sEHXfm3+/PN1YCmvJwEV07hGttxO8PdReJ1rfBcFjzNfPdF3WERVa/6+5kt7+L0dtg/vPYK60QXT8L7exrdv42ssGKXp8dtoF7ww8z0dtIm+F5tfMDPzC78/w+/qYNxZbtphP80SfiE0+w+m12wf1grHa35VN2bS6KHZPhp/pusZbo3XmhzDv4MuW/oO5hX8L/zBpjntxndIiGFm/i2zbq6Tmu9HvKP5NLhG35fBPVV05BrH1zTu0Uxj/Dkfk3A+LfRa5tK8D2ml06gftWgcjpmFBXOJ7n8aPbf2Oescm39cZrMI7mzD4xjNM/g+njnHovsqE6wvhBq8Fh2eaG2NCYfHpsExuBEO20Xn1czNR3RcGkTnHOdZZ1zj/ApPgOZJP3OetSDmz094A976+YvwRfeIcw5Sy58byZoYfZ4601iF76yUVTE6kSPREp5jMxfeUIdFYjE8KSNx1Kq/oxvn5iUguClXYf1IbLbcRM8oyoaIa6qS6K7YzIQ0D26qGwqBvziCD16rSG0RReHHpSGbZkRt9EFuCt+m/u0wfnOESJTN9NAUV5FgbnxgW2o0zqjwlSa+SK62dtWixkKNNLeXUFBEEjn8fozqNC4AraK1EQc+EiOzx28RVI0LYFPkN4duXPwiIdnUki1isnndmf2jQqsIa/3Qheti8Rl+WUbHMvquj35+4PMlvJEIW7eiaBWdYX8N6R+dLk3RPXPhjH5wCBnMXCyDMydqF7zcOL/Cb93mses0fvMbv3leNtbV+Oki7KBxYxD9HNE8rNx/wxrREKnR+TT/0M983lrXshQ3dpZSeP7zL11zQjHxytOR+rkLOl6xJ3/1ZphSPfwcteyF69Qg8yuXdoyaGYi1X7u597fDHNfEqAGn0uCUGlHxDxagcvG2ufpq/74P8R+fCYziHyoi/97bMPzZazsHv+k9s4412FKWf89tPXsI8gt+4rUdrW5RB/n3fx3+01Nd++uWczBqWL3pUZT/eU/PebVWSLz2TKR+pnNEXA5IxIJ/bnHO24L0O35sQWP1W9l76DCKfxlG1V2tZSmFYnQ9Ca58LaIqvN8O7mwbQq+FhtHNH+hma4fGjUJTWDbaBAKgcT/R+JZv3kA3BUh0Ex710XLTH/2AGomHFkEZ/li7DRubAAAgAElEQVQYiR0eL/puBUy0z3TO90Mwm8bXRUNeNDRsU0nNaJ85AiL8hgjbzxUZkYYNv+Nm5j8jmEMeM9+V0V+RyGjwir4KW8RZ89g0WMz8St0irgM+kdKZczybX4/hGpvCLZhn42fomcPXqNOUeS31I70f/dA/w6IpfMNlzQjw5tfzjOiO7l/DcyziEp1j0WszArD1sxg2aYi8ZlUT/DgR3SBEx3XW7wQt50nzfGycm80fM5rHtfHTRvPGuOXcbrQJ7oxaTpkZ4RseQG4RilG+f5stUFvO1Dk/ZswwCD9+UfvmRPq6LG0ka2LEsi8wq6XS8bIqrpb1yzyEgBCYTUBcxYDUz1+AxFXz9/gFtxOlOlgocuF0F5z2YrlLN8scz5PnG5V27qXRe7VvPjVrL2Igbv7kDlht3FSjNgMfeEXX1BuVLzyM+g86pK+o+eDIr71KP+67/YpOzoPJ+TC7ldKn70atQyqMdu3UljQ4BUon91E+PtPvvQ3+c/P3kMZ/4jSkf+HCXggW9X4/FtZFdbyEjeR6soQwpSshsM4IbDRr4poUisGNjzF03XXXqfuKRduadmJ+2U1Yvp/Rvskp+MMe6REFGjUavLll6/bTz3ijr+2cWzfwXRMk02YLuZ79c8g6O51lOUJgYxBYluATk5PYu/fxNQMw+zsvnreXL5q89+QEpv/wm8Gf6V++pKtL6VItuJtImpvSgxOwdxJKnG4i8cozmtPifZa837JTUdk4Bj/5uq7LKPzpnXAfOrb0DNk/uBzOmZu6jlP+px+i+pXeAZE65bRs7Xz6A7fDe+xo34dn4D0v6bqHs3LDQ6i0iZbKA6R+7vxZzPsetI+K5c89gOqtT/RR8/hVkevJ8WMvIwuB1U5go1kT17RQlAioq/3jJPMTAitDQMLZIwhkwwFt2pVWccUun+z6udzFvfcQCh/9TtthBq6/AvapMzn+6t/Zh9iL2uTd83SQhzHx6hmhWPnXx1D5xx92nD73y/13K92isfbDha11g3/2qu5VtUEQFGeqd3Cloc9e29OFdfLtX4bJ1/qZHnpFH/X3TWH6/d/oGGgo884XIXbRtr7GWmilwv/4d7gP9JcyZaF9L1V9uZ4sFUnpRwisLwIb0Zq4ZoUiT3wxVkWt7VxdrIrr65Mrq9nwBDZ8gmxFGPrsGzqmaajc+AjY3ZLL4F++FmqweyCbpTihqrc8jvI/tIkaS4Shv7kGFJuJqDnXvTQanyOhuk9NztqjWP7cg2ArI6dhmBsNNfhCcxQoFeu6BD1da9lzO1O18rkHUPve/p7L75UrkDvg/JGcR7JX6Tc1Bgfw6adQ3ApyZHIexE6Fcz36z8zeN+ntzzdTguQ+fFVH1159pAzOhdipqM0pOOeMdHw//7u3gveZruay4a8nq/ngyNyEwHEkMNeaGItx8EYvf+jpx/8FwHOkMKZhxmyjxjWsCWVR3resopVyqv6AW78ok/FuuOEGTRz9bw2V+XFG1sjkl2KvYuCCGm08XiPrlmkKASEwn8COHdtx0oknBOkxHnzoYfietyBMfHN4/nnngtNj7Ht2Pw4cOLig9sezsjWSQu7PO+fhK33qriCHXSCkOIH6vOhAs2cfu2xH4KLaqRQ+cie8xye6Ltm4/rw8e9yAU2AMfviqZlveP1m/7xDiLz55Xn/u/c8BMQvOuTPCo/g/v4/69/dj4E+uhH3CwJJin5s/sVPnzJqZdyulT3y/L9HJa8v+3ku79uU9M4Xp3+8vNQZHOB34769YMJdmnk0iDH/mGqBDagy28Jb/7v6O/SeuOBWpX7yo/fvaYOItX2x7Xix4wsvcYCNfT5YZrXQvBNYkgTA6PKAUwbIIdkwhFicUxsfuzE8evZeA56AwRlCHjaIjyqgpKK+QooFSMunU6vUh7+qrt/u7d+82IhRX8BTox6oIrbYQzFbeq7jtlDPeaCjcq+hxbieOpC97FVfwiMlQQmB5CPDFe9euc5FJp1EoFPDI3sf7FossEs856wxks1kUSyXs2fNwsI95rRTnvFFk3/3ijtOdvv52eE/M3t/mXLgN8RedOK+Nt386CDeY+qldHfvjwCrO82bnNuTKHKjEe6K7gIy94ARk3v6CZt9snSLO+3fG/P1+tVufgH3+6CzrVuED34L72BH046650OM39Y6v9HQVnRuxtd0Ypuxh6u03gwPG9Cp9pcb4/n6wQO6nsMjP/LeFRywtfvIu1L+7D2wRHPxolx8d2OraZY9htwiu/ngZ+Xfe0s8yjnudjXw9Oe7wZQJCYBUSYGsiB2a3LMC2FZw51kQDeg5KH15v1kQ+FGvWosiTX7BVMTd4YW50+0vrdQ2PxaJvgn0aYlVchZ9KmZIQWCCBWCyG5513LviRLYtPPvU0pqcLXXsZGMjitFNPCSyJ9XodP3zo4eBxLZXEK05D6r92jlI59bYvI3C3jIoiBO6Fo/P3NBY//j04F28L9rm1FUF1H4UP3YGB918+7+3ql/ei/P8e6oqOBWjimrObdVh0OC88EWogPq8dW66Sb9oFTkURlanf/mpgkWL3yqUspu5jkq1dPUo/wYBq33wapc/e26ur4P2+UmN86VGUP99faozE685E6qc7p8ToNKnp678ZiHx71xZwIJxOpfjn3wkswJ1KtwiuHECIAwmtlbJRrydr5fjIPIXAShGIrInElsTAmkiIxRTyYwe/XchP3b+erYnMeE0LRV5AJ6ui8d0BAm3yyWw2mkYDqyJhdOvJp14DK745sCq6Br5vxKq4Up82GUcILDMBvrk766wzAssil3x+GkeOHg0EY90NE8THHAcsEDdv2oRcLnRfZEsiRzldayKR55762fNnBXxpRWwqLqbe+VXELtyK2nee5VDPQdTTdq6lkYtjt4ie/rPT4NyAQ59+/bwALGy1ZOtltzI3UErpcw8g3SH/I+fby8zJ5zf55htB6ThiL55vDQ1YvHEXYDfycbaZSP3uA+AosHOLKblggdetUMwOcyey+26XspAIpdnffCGcXqkx/voe1L79o74+Oek3XzQrnUhfjQBM/fqXoQs19LJw5t/9NXDey04l98ErYZ3Y3iW4+vWnUP4/9/U7pVVRbyNeT1YFeJmEEFhFBGasiQTbocCaCL925LlnnroJBmNsTSRlxixDRwzMUbKc6fWwNzE6BOtCKM6NgFqhUgq+l/VhDZH2N0HTFgOMGsLWRCp19uYTTr7SrRrluRqex+kywsSbki1jFX0yZSpCYJEE2G1s27Zt2L59G2z2E+lSPN/HwYOHcOjQoTXlbtq6pK5io+FCa8ouJn/tZpClMPCRV7bdY8dRSjla6eD/fC1Urn3AG05lUfzYd5F970vnBS1h74ypX74Jwf7EDmXwY6+B2pRsvsuWt/SbL25bmyNkZt/14833TLmOybeG+SDbFZVyMPip13c93ry/kvM2LqZwZNbMr13Wtak+XEJg9eyz9JMaI3K37adLysVB8e5Ctl0/PG8uvSycLNS7udQO/c214IA67QoHN+IgR2utbLTryVo7PjJfIbCcBEJrIkEpdjlloajgJEgf2f/MbdVy+VEyeI6AMShz2CjrqAV/EpZdSJp0ea3vTYy4rnmhyAtptSrG92WcWqyYtI1Ja7eW86GGifSIMbRFAVsN9OjIiTtfbTupHa1WxSiwzXKecNK3EBACK0eA9x4ODw1ieGgYyWQC8Vjowliru6hUqpiYnMDE5FTfexlXbuYLG6kfsRHlUoy//JS2wsx7ejJImcA3+Xyz36lwXkDOD9gp8mfhg3fAfeRw2+bzhJw2KP31PUi/9dJ59Vl0Flkotuy97JXA3j5tGAN/+PKu8I4lNQbPhfeDdiscXZajzPZbgmi1TmcLKPcz9favQOd7p9nod8x59RQFlmYu3VxHeQ7T7/23jsNQNg4+FzuV6IeIRc/zODfcKNeT44xZhhcCq4rArAA2DWui55YPjD/7o1sIakxztFMyh41R4xb0hHLieY+oFK9nKrWTiu5ajXTaehDWjVDsZFXUwCAZbDKBVVGPAjRqOfaJoyed9nrPU7HA/ZStio29ilrMiqvqQyqTEQJCoDuBfgK7BLkUP303Bj/yyiBgydwS5bezTsoh98c/0XHA0v++F7VvPN1xL1trKo65ncwNBMMujPU7n0HyuvPmjccWrvI/P4zMr89Y8Hrtcetl8Qssnm+5sWP+wG6U1VASgx9/dc+Isfnf+ir8I6F1rldZ6tQYHJLP2p4FpR2odCx45FQhwSO/loo3nyMdg2q8z3kN2c2Xy3JEk4045N9zG1jsSxECQkAIrAUCQToMjmFjEazAmkiwbV0f2/fkl3zXexYwHOV0jNiaSDiqgKn1Zk3k47QuhCIvZK5V0U1UE8p3M8ZzB3zQMIzZDOgtCF1QR3NDmy/LDG+52K1puCwUAxdUCWyzFj68MkchIARCAmqYBUzvwC6Vmx6Fmay2DXoTWRu5v9ilO5D5jc5RM6c/dAe8PYcDy+Pgp66Zl7uR3+M67UriytOQ+i8zQXfq33sWHESG90zOLeweyn2xK2RU6nfsg71rBOiwRzDIodghrUPUhy6H+1TbleqND6P61Sfaz/3qs5BqI2hbK3uPHAGn2Oi39JUaY18e0+/rbMVrHYtFYu5PZ1KP9DuPys17UbkhDELUz48O/fY7t14vt9XF9ivthIAQEAJLTaA1HYayCQ7/iysUJw7fm588chcZ8B6GMUAdBtERC2aCbGdaW07RqSaq68WayFzXlVCca1WsWZWk8bys9sxgIBZZKBJtUVqPGqLR0ZNOeQ1ZiU1huozQqhiFxRfD4lJ/7KQ/ISAElpqAc/YIsu/rnIePhZH30OFgb1jmHS8IhOXcUvjwnXB/GO7b6xU1c+q3bgEnXecysPsK2KcPzeqOhd/Ur3wJxp+fGiL9lksQv3xGFLI4cc7fCrY0zi21f3sSxjNIvOr05lsc0KWdqFwqpmxVq//gQNvuWICxEOtW2I2236Az3E+vwDFch+cTWft6rTN20TZwsKCFFk53UrvjGQRW07/o/aPDQvvn+vpoGVO/uTZSYyxmfdJGCAiB9UMgSjXM+5PZmsh7EzmAjdH1I2PPPHkLGTOmlRqDMYdZKLJIVDZNkW0X4n6ysl72JkZHdN0IRV5QZFV8+GHwbvoYWxUtXUrDt7Oe8YZDF9RQLHJwG8eOnbz55FOu0p6KuUEEVA3tA0ZyK66fT7ysRAisYwLxl+1E+pcumbVCf98U6g+MgV0K/SeOBq6WiatOR+rnL5hHwnvsKDhKZ1S6Rs30NCbe/EW+0AbVUz/zPCRee+a8PqNUC3Pf4LQN1gkzETHZysnWSzU4P3BO+XMPBtZK+5yRZjf+oULH6K5LcYjz7/s6mN3cYp86hIHrr+g6RCCQ3/ZlmKrX91R6BY7hjlqtfb06TrzyDKR+7vxe1eYfrz+6Hd7jR2GfsxkD733Zgtv304DzZRY++O1+qkodISAEhMBxJRC4nCp2OeW8iQqOQ1C2rh955umvuV79mSB4jTGHSanA5dQmewKWV/BVusTWRP6N79xz4d9www2aiNZOUuYO1NedUGSr4u23c1rMH9mFwv54tRpLVuFnoOo5ZdQwjB4BmREDGoXBllR24Ozc6I4XejWj2KoY7FfkH8M5a4aYFY/rh1UGFwJCoDuB5E+fh8QrToX70OFAGPI/PTU/8Am7fbYTZLW7DsL/0WRzkOzvvRTsEtmusFDL/+7Xmm9ZJw0i/oId86pyZFTvqZk+O62A000Mfeaatm+3y9fXThQv5fkx+ZabYOrzhV76Fy5E/CdO6zpU7d/3ofRXdy1oOkueGqPTPF0fuuKBI98G/yqtjx4qNz4cvG5tzcB5XvdgPQtaYEtl/7li02q92D6knRAQAkJguQkEqTB4X6JCuC+R/8VJ58cOfLdcmH4UhMMEMwZD4yA1rklPQMfyCVjFRKJeyWZPqAE7vcsvh969e7cRobjcR2wR/bdaFS0r79QTfsItWykyftaQCQLbsFDklBkgswWELblNWy5OZTedE1gVWSw2XFBZJ4pWXMRBkCZCQAisCAEOiGKmKosK0NJugrxHkVIzCe5b6+ipyqJTS7Qbi8eJv+Tktpw4+I6ers16T23JwNoa5sdc8qIBDpbTrjjnj4KS7ZlE9f2nJuCPhy65/RZObq8ysa7VvUeP9B3xlKO+Bvs3W8QgC0R0SVfS71ylnhAQAkJgvRNo3ZdoNQLYsDWxXDj6SP7o4XthcBiGDnMqDBaKbE0kQ1OGrIKT8suxqlX1/Zy7nqyJfMzXlUWRF8RCsdWquL8yFktV/EQNSGvf5DT0ECESi6EbKgxGNp1w0kucWHor71dkoRhYFtlgLPkV1/u1QdYnBISAEBACQkAICAEhsEEJBPsSOV8ihZZEFoq8L9Gtl547un/fHSCMB3sSlQpFIjjKqZpUFuXjQKmctKonJEfr682auC6FYiQWr7vuOvXUU0MKOOTU6zpet+tJ0jqjPbBYHGaxaMAi0bAr6hYYGhndefoVICfr1nVoVfQb6aVELG7QS4csWwgIASEgBISAEBACQmC9EmgVieG+RBaJCjBuYexHT3wDZMYDSyLROMEcbojECWUjb5QqxrxYJRZTNWCbe+qpk3q97E2Mjve6syi2WhX37NlD9xWLdnxfxuHANnalkqo7ftb4lFPNlBksEs2IJhpxnNiOzSee8tIguI3HgW3YusjBbcK9qOKGul4vE7IuISAEhIAQEAJCQAgIgY1EIIpwSoqtiGHORMdWYfCaZ5/+tuvWDyhjxlkkAoFYPKI5FYZl8jHXKnjJZLk1HcauXbvMetmbuK6FYqtYvPnmg1Y2W7fYBTVRqiddZaWM7w5ohUFlaNgPLYojMGqEyGxOZAbOGBrZcYnnwfI9Dd8DfM6vKGJxI107ZK1CQAgIASEgBISAEBAC65TALJHIQtFmt1MF24Y/OX7gnmpx+nFj6AhIs0Vx3CIa12QmlMYUWc60o/1yNR2rsMtpoRDzr756u7/eRCIf+nVpUYzO6dbANolE1WYXVC/mJeDrTN33BizCoNbYBIPNoQsqcbi/zYlM9vTBkRMu8D1jh8FtRCyu0+uELEsICAEhIASEgBAQAkJgAxGYJxLZ5ZT3JtrkTY3vf6BaLDwB4AgiayLhiFI46htMxSx7GpYq2nW7yi6n1WrCW28BbFpPhXUvFKPANvuT37fYBdVPT8S9aiypjJ+B9gY0TCO4DTZrFosGmwm0KZHKnjI4uuNC38dssSgBbjbQpUSWKgSEgBAQAkJACAgBIbBeCER7EvnRarichgFs4E2NHbi/Wi48bWCOgsUhu5waHAn3JdIklD2tySraiXrFKg3XaicV3RMqL/DXUzqMucd5XQtFXuzcKKiH3AnHL7sJB7WUq02G9ytaZAa1oU0wZjMLRUMsFrEplsycMLRl+8VaKyeIhCoBbtbLdULWIQSEgBAQAkJACAgBIbCBCLQLXMPBa5TS7uThg/fWK8X9LArJ4AgLRd6TqMgc9Q1N8b5ER1HRRbxspZzqNmfYXY9RTjekUORFR1FQY7FJu16fjNVqJsH7FcnojPaR0xSmzdBGbyLCZoA2GWCTE09sH9560sXGqJjHKTM8QPOexUYkVAlws4GuMLJUISAEhIAQEAJCQAgIgTVHIMqTSJwGQxGUDdg2gUjXJ57bd69bqx4k4ChgjhrD1kR1NLAkGk6DgbwhVeR9ifE4VWOxoXq9PuRFUU4ZBhGFkS/XWVn3FsVWqyJHQX34YVi8X9H3rZjr1hM1qqaVMRmjKGfYDdWnYSiz2bCFEZpTaAw7Tnzrpm0nXWJgxz0OcNOIhKo1myz5PxaO6+zMkOUIASEgBISAEBACQkAICIE1TCAQiByShQClgCjCqW0rELza0UP77nHd2nMEMwGoo0TmKDQdMZaZINAkaZPXRMW4SZQcJ1a1LL8e7Utcj1FO5x7qDSEUW8Xi7bdD8X7F1AHfNsaJcXCbehVpsv0sfOQMmUEyjTyLgVg0wwCGbSc2Mji64yLLTmRd18A0XFFZIAYBUSXX4hq+jMjUhYAQEAJCQAgIASEgBNYTgVZX02BPokUgToHhEHyvWpgaO3Cf59bHAUwANMEika2IhtQEGZoCWxI9qxBLoMTBa4jcenmH5a33fYmt58CGEYrtxCIHtwGmY15MJ5RB2tV+FloNKOihKMiNMWaYrYpkMAQyg7lN286JDwxu1y5UsGdRG2i2MLJiNAQtpsX1dI2RtQgBISAEhIAQEAJCQAisMQIqMCUadgmF4hyJQeAagnKga9NTB/NHDz0CQ1OGMMnWRCKaiILWaKhJKD3tKKugiUWiqgID9Y0QvGbDWhSjhUfBbaL8iuPjJZsjoeqaSVhkpSKxyJZF5ZshDT1MijYZbYaIaAgwuUQis31gy/azDKw451kMxSLnWmTrYuiDKnpxjV1RZLpCQAgIASEgBISAEBACa5pAlPqChSIpQAXBasI8iQS/Nn344N5qtXgQoLwxZpIUTRptjiqoCW3RZGBJbIhE3/hlFacqRzgdGUl76zlfYqeDvqEsipFVkR+j4DbZbN3iSKjklmJzxSLIz5GmId67aGCGCTQEwqAxGFRG5Qa37Tg3lsgMc5Abti4aPwp0I3sX1/RVRiYvBISAEBACQkAICAEhsGYItO5F5OcsDonzI1oUBK2pV4sTU4cOPKxJ54kwBYMpAzNJ7HIKmjTKTMJY+bki0TjpOkc4ZZG4EYLXbHiLYt9i0ZgMaZ01GkGQG8UCUZshQ4qtioNkTM4QDaQHhk7ODo2erDVsDnITWRejfYvsjirBbtbMdUYmKgSEgBAQAkJACAgBIbBGCMwIRMOhR6FYJEZWxMDlFF5hcuyZ0vTkM2TMtCHKAzRFRgfWRG0wFQStUcgbpQoOUTGyJG50kcinwIazKEbnPbugdrIsGlfFvbpKWainYaysUX4OhgUjBg2ZIaX5EYMwlAOZrLJjw7lNo2fEkplB3wOxG6rfcENld9TAD1UE4xq55Mg0hYAQEAJCQAgIASEgBFYzgbkCMXAzJYLVcDe1bJh6pTiVPzr2uPbqEzBUAJk8GUxphSkyNEnAFAh50lYe5Bd8xEp2TJfJ0TURieHR37BCsZNlkfcsRgFufNdP2qRSrtFZMiYLQi5wOw0EIwtF5GDMAIgGAJONpTJbskNbTrGsRMpv7FsMLIysExuCMdq7KHsYV/PlR+YmBISAEBACQkAICAEhsNoIRHsQo4imoUAMXU3Zkmgpgu9Xy4XJw0/Xy8XDABVgzDSIpgNRyEIRmGq4n+YNUcEhVfCMLluOVYkC10R7Ejeiu2nrMd/QQrGbWFSq7Ght4p7lJX1yU2SQIbYuGn8AhgbYugijcyDKARiAwQBbF41BOpUZ3pYeHN5BtpMMIqI2LIwcGTUUjAA/cGpOcUtdbZcgmY8QEAJCQAgIASEgBITAaiEQWQ/ZF1A1zFwsEDmiKVsQOeUFRzY1nlspTU0cKBcnDhGhFFoRMQ1gGsbkQSofWhHNNJE1bcgvGELRMk7Z9u2KUlTTOuWKSJw58hteKM4Vi+PjuyjKs6hUyvG8Qtx3TML37KQPN01gwaiyRvs5KDUAjRyUCYUiMGBgMlzHgFLpdG5LcnB4B1sY2bLIVkZWiBwZNdjD2EY0hvNZLR9NmYcQEAJCQAgIASEgBISAEFg5Ak2rIYh3bjXFIT8JrIdBtBoE1kO2JLIFsTI1caBUyh8mmLIBigQqBgKRhaKmaSjkofU0KStvSBe4jgWnZNlexXKpatvZmtZlN8qTODKyx9xwww18p86CdMPemYtQbJz30Z7F66+/nm6/HYrFYu6wbQEVJ6+dGHzEHeUlfddL+UTpwBUVKgvSgYWRYLLshqoVZckgC4O0gUmDKBlLpAczA8PbnEQqZwxZvH+RlaLWoUWxKRqj7YwNtUj8AWHzo4jHlbs6yUhCQAgIASEgBISAEBACK0Jglijke15OaxGIs8bwDXHIryo2J3Kqi8CaaHy3Ws4XpycO1aulKRhTIVAJhJIhFJQ2BXY3Nex6SmYaRk0DusCuppYxJcuxy662K7BQyym3DiTd/BbPP6HyAv/yy6F3794d3IBvZJEYrH9FzoI1MshcsTg+vkcNDMCaUDWb02dwkBv4FGdXVOWplCZKg/cvhiIxq5UK9zIC/C8DIM2CEYSkMSZJipLp7Kat8XRmyIonk8aHYrHIJsRANPIpGRgdTeiWGv1+EbioBnKR35llcgw/TlKEgBAQAkJACAgBISAEhMDqJBAZPoLZBWKQ72wbd7GNW1kWh6EFkQKFEqa5COvzI1nQfq1SqZWKk6XC0eeMNhUiqsCgwgIRCP6xJTEQhEprFouFUCyqgjKmpG1dZldTWKYWBa0Z1nFvehr+yMguLSJx9vkjKqPN54kFI1sW9+zZQ089NaQ41yIHueF9i8ZUY1pTXDsmoT2dZOuiAqUJJuMbkw1cU4GMbjwaIE2EtDFIgsUiIQEgQcpOJLO5kUQyM2g7yYQB2UFwVN7HGAW/CQ2PkUoM3+MPTosBXNxUV+cFUWYlBISAEBACQkAICAEhEBJoWgj5trZxL8t7DMM3Q5fS4GlgLQz3H4Z7E43nuZVqtVKcqhTy40Z7VQBVY1AFUYUIFWNQIqDE7qQKKPJj4FoaisSihimxFVHZqqJcqiplakSJ+tz9iLt27TJsSdzoVsTWc1aEYodPcKtYjPYtsitq3vZs5dkx0tVYYF30/aRROmmRSvk+gj2MCn46FIqUZqGIwPJoUgbgoDhJNMQigDhgYgZwYolMNp5ID8biibRyYnFSjg1jKBSP4STDx9C82HwaHcEN6z0tl2AhIASEgBAQAkJACAiBVUkgEoChATH0g2v8rzWCaSOKqTHa9bRbr9Vr1VKtWpqqV4sFAlyA6gBqLBJhUDWECgFlEJVhTEMomhILRQ0rEI2WhZJvdJm0qliWVetrzyAAAAhwSURBVGErolGJura9es6zvcjVlPcjikhsf/aIUOzyqerkijo9DYuti0SuU9KIw1A8ZpmE73sprUxSAWmtVSoQjKRYIPKexhRAqcAFlZBkqyIMEqBILFIMxjgEOIZgEyknHk9nnEQ8ZVmxGNmWQ8q2lbJs4vBOFG7pDT5zwU8yohRX5QVSJiUEhIAQEAJCQAgIgQ1LINgyFdg9Aj85Ds1hfKO17xntecbzXd+v191qrVyrlYqsFMnAMywOiVyCqQci0aAGQmRNDF1OOXANUZmticroMgtEpfgRJaWpYll2ue5TFWRqaYWaMY7LVsSBAfjiatrfCSlCsQ9Oc11R81ueVZF10TZ1xyrFHR2rxo2muPGRMMYkQsEYCkMDlTJGpxSZpNEqCX4EkoqQ0IaFYvAvRkAssDAa2AAcjvrLz4nIgjEKRMrAKDJsmDcsFlu8uoNPoBzPPo6nVBECQkAICAEhIASEgBBYXgIzVoyGb1ywUZHYX04TSMMYDSJtjPGJ4BkDH4DLz1kcGoCtiIElURFq2qBKQAWGKqR0RfMjqTJBl1k4apgyC0QiqpKFKilTU/VEzU/XXI9ibmRFzB0+UXN+RLEi9j7+Iix6MwpqzLUuFgoHifcuTkwctBxH2wUkHQt1B9qNsWAE72PUJmGUSZrAcsiPJqEMC8VATCYDi6KiOIyOAxSIRf5nYBwichAKRnZBtcCikT23jVFELBSDqDbsmtrY7juzJ7jPJUk1ISAEhIAQEAJCQAgIASGwPASaEWz+I/hHEL0miLLB9sVAIBJnF2dxSMQC0UMgFo1LILchEOuAqYFUDZofUW0Er6lq0oEgDEQjv66J8yBWwfsPlalBOXUfMTeLiuu6yhse3u4XCjE/m91uJGBN/4dbhGL/rGaJRQ50w3sXo8io7I7qOK5dtnw7EowwVowFY924gXsq/7OUCV1ODcUN+LmOs1jUoBjBxABqWhUJxgmEIsgygEUAC0ZlTJhGhvcwBt6ngVgMi1gVF3BApaoQEAJCQAgIASEgBITAkhOYtSeK71Q5iTgFoTc0URDgn+M1+gS2IppAKBpQ05oImLoB1RW7ngYiUdUIoRspC0ZfR89NLUZOjQUiyK9HAjHlW57rOl6rm2nrXkResASt6X3YRSj2ZjSvRqt1sZ1gTCQmLbYwOlXfrpLnELwYQcXI+DFAxVgkEumYUYhrFoc+i0Md1OFHTcphkUgE2+jQ9ZT3LRq2JhoWiybYnxjGQAUpNuJzxtG5hYWkFCEgBISAEBACQkAICAEhsNwE2iSmJ62NDl/nPVONfYqkDcEntiryfkR2PVWB62kgFpXRLqDqBrrOj7BMXYHqpHmfoaoHYhG6bsgK6hjY9YSxXTdheWxBrFaHfBGIS3OwRUgcA8dugrFUyqty0rLiRW1blgkEo6Vg1+tOIBwVtENkOx78GJFxyKgYkXY0701kcQjlaIKtjG/xozFkKd6jaLTFBkUViEV2PWWB2BSEcjyP4XhKUyEgBISAEBACQkAICIElI9CItEiGtyKy66k27HKqDZHytQk0pK8MPE1W8GigXaPgKcA1RrmGdN0Ycm1YdWM8V0O5LAxjMdf1NTwWiL5PXi2jvFTF99PpnI4C1YgF8diPowiLY2fY0SV1ZCStCoWjqpggK1lSFrulxmplq24ZOxKNljK2RbBd0o7yjK0VbEWwfR+2pcjytbEVacsYUkaRpYxW7GrKf0OZwKpoGfZKDUvDyrgEq5IuhIAQEAJCQAgIASEgBITAwgmE1sOw+OSH1kTNgpH3J8JoUpo0B7ExWhvlW4o8XxvfsuBpA09peNomzzHK9Q08X5MXicOYT149nvLZvbSS1n6mavxsdpMeHy/pkZFdWgTiwo9XpxYiFJeOZVvByEFvOErqyFRGRVbGTC2uqrGCZZdhu46yPJcsW8H2fLJsq275vrJYPGqjlFaeZWmytKWU0VpZWinYbEkMRSIaIjGybkbLsWesjEu4QulKCAgBISAEhIAQEAJCQAi0J+C1CESu0dwH2BCLwd8emxG1Jr7N9bX2Ff9p+4q0ZlFoWdr3/JhvW8b3NDzbMb7jat9LwUvUs34xXtOR9XB8sKg5iikHqRGBuPRnpQjFpWca9NjOLXWuaKxlEypTLatq1bLcREyxtdGP28p1lRXzXKVjttK+p3xtKcf2lNYWu54GIhG2JidIu8hj6RmLouxLXKYjKt0KASEgBISAEBACQkAI9EOgNVBMkN0tyHvhsq3Q8Hv8mlK+dj1bW8rXyrK1qnu6bjvacbRv1TzNVkOnWteJhO8XEykdL1Q1u5aKOOznCCxNHRGKS8OxYy+tlr7rr7+eouA3LBqr1Uli99RarURsbYyEo+9nyHUrisWj1h4l3LoyJk464ZPWmoz2SZt4KBI1B4wKS1zPCMZlXpZ0LwSEgBAQAkJACAgBISAEOhKoqVAgciHFAfw5FGPN8HOllFFVyxDVTNWJaaVsw6LQcZLasoqmVRjG42nDbqWJxJBpZzkM+m8TSEcOzbETEKF47AwX1EOrpZEbzhWOtZOKdEJllHhvo+vWyPdz5A3WyPfc4FjlPJdYSPJz3w9fiwqLygVNRioLASEgBISAEBACQkAICIFlIMDir7Vby3KCv1kI5u3Gc9sx9lTcWFbeOE7c8F7D/ckxE9+XMXOFIbfdvXt30IcIw2U4YG26FGGxMpw7jtJOOHJlztHIVkd+zpZHFpD8nEVk1BlbIo/z9GV4ISAEhIAQEAJCQAgIASHQkwBbBqNKLAb5eSQI+XlkLeTnu3btCt4XYdgT67JWEKGxrHgX1/ncwDTsshr1xBbIbr2ywFzcqNJKCAgBISAEhIAQEAJCQAgcOwEOLNOtl0gItorBqL5YC4+d/1L18P8BG2HtzbBbZQ0AAAAASUVORK5CYII=",Do="data:image/png;base64,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",Io="data:image/png;base64,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",Co="data:image/png;base64,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",xo="data:image/png;base64,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",zs="data:image/png;base64,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3xejrs6qsV19UoCKJya+/5m5Uy8vZE9SDggWdTOEwPIK7px1nztfcQBsKoXIP2B3Xql6j9OEGOGJalLwN1VdlO+jdrXSEyN+X6nCkj07trxeS6w0HIW4sPOGy0mXtwHgRxIg+bAu23sstZke8676hApHI9iuOZXVPPPTZlXEkVkOjOvyqZ0t5HI9cfKcdx4PJ964c6cMTtQCyA0D4HkdN5zWD/oxILjUC12ikk3CErNtV80U66bzwCmlY99ziMiL4EvTGDvK3FzcCjvgZ+W4CTcXd2N4wxztNtQkemJEPEgEN7/w3D3P1AKsWeeoewB3dRXHv9P7441E5c0IeGy8cHErdp5JICyzCEdYkPoM3MpQiNxh0ZaqFrUZ9NZSEV56yQIy1xMnA/J7UBi3ZO+zW94YKfAyYjaSlxj6uWd1rJ5fptKjAHiG8J9y6hDtcp5AMlqpSx1D9gbTQljq2js64Sy4vRUPUGEppS1obT0x7lCTJty098niwaG//cG1rEsLfGHnyk9SGR4ChEs5xw1TeAbfZb7TLG6crTEIxeus5zUx5GEBZR6PpwfMtZbVF7dKG5BHhy/DLkJ89BxhU23eN3aqMLSsS2JM9MQIPW2Ia/c8d9/XBge/4R9VVwCef/kNpx46XL4DSK0CoDZeDE/8zhZuMees2iay1FznWDVix9pUF6ZnVY6s4mJzFrsZ9cSAr6txasneHfd8f/iwHPwZ6gLA8xatmdpf6t8EGm4EhGMCr7XW0HsVAj2oBmin3zWms3p7Zy15WnuwWsHFFvPZakBO12Bw1jvLl+s7l9YwCN0DHwimx7wwiRP/+J2G/IAbVT1x5WH9ycSpJ9+26+ENhwYPvdocOaYAvqhz1Sf6CdZr0CtAw7Futc5vjYdVs6hB8lnYkj2VI1W1vaMDIgTHFnQpd6vhzh5AuZ4YENV/YgFXvbDzvn+qDRyP/ixjAuBZC1Z/jrS+RQMtBE1K6GG9INc4/OPveIZEvGBzAHfW90jtDfjDNWLnv0tdcVLIXE9snhUClAHx4Ym/fPJdY2F1OcxHDcBzurrbS33l5aCpmwDO8gZuAD7rOuoXcrFvNwpkZPpgMzwWLPvMMgkXtQuiGyesYdsG+WxjF7GNK54bYsCEO2Jxlh6Q7v487fH1G/g5/NIwDLbMjV945kegKK7/TgLKQ+mu/1wCmvreLQ/tI1Ko3kDElS98/f79R28va99iRAFc2cj6H1798UwNtJyIlvxC5jgx06vggBmBWTz8KOImFFvDbC9GtA1USMeATNoMFrmV9MRQKih177HTJ23ZVSz21x6KQzvjiAB4bufKc0qE1xDAVUR0cjI18z0h4k1PBvTrWiHjSLePdbw+wMHstXVRtZqeGFG9Bogr/vLrD7w2NJiNXKuaALir61uFd/v2nU8EC4FogSZKSjOFqZH5Vr0elnkUskLCY9VeOn1bWk+sQPUD6i3nfqr93mKxWBo5GA79zEMG8EVdq07sPQizUelLEfAyTfShanxLWF/uW+XCbedJ8ImTbKcesaOP/NwPlFq0t6s/91BaWU8MCH/VhmrD3m88NKp+3aOF8qABXNEkvNv31m8Dwbwy6XkK1W9V8vTFzjv26jKjwBUB4VkGLJIWBxgsneAWnPt203Ua2M4/Nbq+f4itqCdW+EZBq1te/NZD+44WTGNxfFUAJwXv+vrP01rPIMAZgPRZIDiWewZ4oCAOGvjjMgDq3V0s0FB37SMqEWvVRJZFE+iJlVI/+wWp+8MpV5z3lV1LlpTHAoxDuWYC4Iq34O9ffftXEcqfIcJzifS5gOpsIt3mM3BZ+kzWgmygz3yggfFaPz0PpOeNInCxVXYDIWWVY49FTC8yFoSZ/ffBjubVEyNhPyp8bLIev2XXrvveHwqIxrINzuxcuRQ0PgZAJ2TqaTP451HpcRu9vfNONKOeGGH3MePVxr947uEfjCUIh3PtxAJXxOKHQd9JGpYDQluWZRP+W7YxyRH1uFn+20Zq34x6YlSvqQKuf+n5R/5uOOCph7aCA89a2P1xXT58JxBUNqsuBK7q9Fppz0C8iMvS44aMhMZs3yx6YkT4N8C2reed2f6ntcgIrjsAuw7NveJ3zzjcW7oLFVyjtU60ClmehdhSO45azYIficPWdXv7cLz00ul2bUZGPeuJFarvAKqt+3Y98mI9gK6WfRjQjTazo/tTCKW7APBKTVr5InPD1ONWoyMJ8IUGl+/anmG9M/ZZG432yQuIhOmioqWL2I2xnhgQ/lq1tW1tBqpQDfSD8gPPXrDiTK3VZg3UBZrGxcKQODN4NPS8w9UDD7e9eaDZ6UncxTYGemJCwD2qrbD1pW8++kotrV09nmtQAHYdv6Rr7Yd7DvauRsRuIn0qz/uyUqnB63Ej70TDta8zPTEilJHwecTx9+z79sMjmkhZT0A+KgC7jle0Dz/re3kBkV5LmmaPlZ53uHrg4bY3lGeM9cSIBxTAMzB+wvaXn//iW/UErtHoy5AAzDtmefKNpOE6QmoPlcnCUSOp5x2IT7sejOT1BR9mWuCR1BMjQj8Q7oYCPH3+p6f+TbN4FIYC+GED2F20ssPl4ffeXQqIazXR2bKYY8gLq0c9cByYcQGdweqR+YPnJZnc58kMJVSZdvdPuxbkVTGDxydkRLvKmIjqPwDh6SmT1c4//9rj7w7lhTdbm5oBmD+YOQu6z9KkryCixZro1xpCD8zC1nwWcbg7op555PTE/weI3yyowlMvf/vx7zYbAId7PyMCYN6ppMYD0WIgtZhA/7rLU+P8M65BFvucvdCHFS2p2/Y10BMj4k+J4EWlCi+oyRP3vbzzQbHhyXBfejO1H3EA84c1+/IbT9el3sWVvTqA4DNxWlAr64kB4N8BcW8bwN59u7+yv9pGJ80Evlrcy6gCWNCMy7o/WgLdAViegaBmENEpfNGVeFnZjpNVI4GNqyfuVaD+FpBeKMC4vS/v+VLLeRAaGsBx52dfvvJ0XVYXULk8AzEB9CeNmyotWE8+59XVo9+FW2+s2qf1xO8Awn4EfAWh8N1C+5R/zKnB8CE8Zhb4SF2f37Xul/oO9VxAiDM06AtQw5kEMOlI2l8H7qz6EbFVzzq2Fu2BqAeVepUA9iuE/ePVuFde2v3Efx3pnvPvj/4J1C2A41up7EA0e8mNp2Bf//Qy4XREmE6apiPiGQRwOhCNG109syoB0duo8AAB/EgBHNBAP4A2/JeZZ0/7Xiv7Zo8ehkNv0TAAHugWZxaLbfCvb30MNU4npGmI0K6J2hVCO5WxHRS0kzZ/a4DjAKAdEacgwGGtqRcQegGgFwj6UGHyO2nqRQW9RNCrEN4BDQeoAAcKZfUjRHXghGPnvL1rV+Ok3gwdIvXd8v8BIoQQB8QD0PIAAAAASUVORK5CYII=",Zh="data:image/png;base64,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",Do="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAoYAAABgCAYAAACACLPPAAAAAXNSR0IArs4c6QAAIABJREFUeF7tvQmAXFd1JnzOve/VvvSiltSSLG/Csi2DFxmzg20wYGJiIODJJJAFMiEBMoSQEAIB2zBkIWHJAgEmMGFCmAkwYGODAYNtMKuNvIBlW15lba3uVi+1L+/de/7/3Fevu9RdVd2tXlTdfa9cruqq++7yvVevvz7LdxBWuBERhlNef/31U6/37t079bp5SaOju1q+v8LLttNZBCwCFgGLgEXAImAROGEEBgb2UquDd+3aNfX+tddeO/UaEVv2P+EFzPPAFSNdMwkhE0EmfYXCEaxWJ7C2vWjWsq2yyTzXaqUVW9s8sbLdLAIWAYuARcAiYBGwCCwKgWg0aQjfofiweY4eSFEs1kvp9BZi8shE8WQSxBUjX0wM2UIYEsLR0b2CyeDAZEqUSjmhVBZrqaLI+h4qlUKlPLM2rf0VW+OizrQ92CJgEbAIWAQsAhYBi0AbBIRwDBGU0iUpi5RzXIoWU1rKHCWTWT3aU9RMEgcGdulmgrjSlsMVIV2tSGEmAzKfBxmLTchqVcpaRMiYVxcq6gjle0JTFEkrjGq9Imu0V7JFwCJgEbAIWAQsAhaB5UKgJgShkCSwRtJxtaz5uupGdLSuVSymVLXaqzIZUPk8qJNJDleEdIXE8I47QLClUMfy/QSxy7TSL7ro+Tt+141KVysCrQGI+MH/M//ZZhGwCFgELAIWAYuARWBNIGBIFwIgIiACCAEgJEK9qvS9P35sDyAOI8FB0OIOjOL3fv0V50+wW3klrYYrRgzP2n3V2UI7v0mCXgKAFwNpyfhsPW0TbN6WAaUAlCIgze5jCkihZYZr4otgN2ERsAhYBCwCFgGLQIMUAhNCBBTsVkaQEuDooTwc3j/cgKhBzRAVAN2NBLeChP/Y9/Ov71sJDJedGJ79zFe/iJR+JxFdRUCzcmwisSicc+F28DwNyidDEJkYsumwKYF5JbCwc1gELAIWAYuARcAiYBFYNgQMCUI0xJAJoXQQXFfAQ/cegHq1dty8rOGCbF4MGlsNb0YpPvLw3V/7/rItMOCuy9POvujVryHQf0FEFzfPYGyBjAsEVkFewBnnbgfHccH3Nfhew6WsCZgfLtsCl2fbdlSLgEXAImARsAhYBCwCsxBgziOY7AkmhgCOi+A4AnzfgycePDDFicj4mo8jhceNhYg/RxB//fA9X/vqcsC85LzrnAtfc6oG/18I4MrZC2ZSyLtla2AjiBAJNmzsh+xAD/g1DZ6xGjZcymGf5di5HdMiYBGwCFgELAIWAYvASiHAMYUcW9hwIbsOghMVkBudhGMjYw1+FMQfhlypk3kMAW4R4PzhQ/d+9aml3MKSEcPXve518v7Ham////f9AQJItqTKjaDBwFLIFsPAZey6Dpyy41So1zV4dWq4lJk8BskotlkELAIWAYuARcAiYBFYzQgw3+OHiStkF3IEIRIRcPCxp8DzfPMh/2OL4TQ5C6yH7RoClAjg/efviP7Dl7/8ZbUU+CwJMdx58a/uBA1fJIKL2i4qzCbhGUO2R7qRZEKw5bRTAKVriCG7k9lqyJnKlhguxWm2Y1gELAIWAYuARcAicDIRMFnIJtkEjRuZiaFWdRjaf6hBCtlqJoIlGquheTGvmDpEuAcE/MZSJKgsmhiec/HVr1AavghE2Y6ANxPDRpxhYDHUxq2c7euDTG8v1Os0ZTXkJBQTZ2ithifzWrZzWwQsAhYBi4BFwCKwCAQ4io7jC03SyZS1ECE/MQG58fHAfYwisBWGmjYLIIYNMpmTAn7joZ/f+M1FLHVxuR1n7b763aDhQwDUoLhzLIXNf00WQ2JtmoY7WQoBg2ecbkhhvcYZyg35GpOdvJgt2mMtAhYBi4BFwCJgEbAInDwEAjdyYC2UDkAkKozFcOiJJ0GxiDN3YFo402Jo3l9IQw0C3vvInhv/ZiFHNfdd6Izm2Oc853XxsVr9c0D06wubeFq4ejrGMFC15n+btm0D4UTBqxH4fvAA1jW0zHBhMNveFgGLgEXAImARsAh0DQKcdAKcicwJJ2wxjCJovwbDhw41rITTFsOpGMPQcngiu0D8v/3RyBt/8pMvVxZ6+IKJ4e7dr8sWqP5tIHrWQicz/Q03ZEshu4g5xjDIUEYiSPdmId03YJJQ/FoQZ6iYN7I/2TaLgEXAImARsAhYBCwCqxABlqiRjWxkJxoknRTGRqEwmWOBwqASCieeNCyGyCxywQxtBjCIP0tj5GV79nw5txDIFjTtBZe+qqeS098hgGcuZJKwb6OeSSNmcDormakiu5UdRBg88wzwagCeN52EwsTRGg1PBHF7jEXAImARsAhYBCwCJxOBZjeySTrhRxRg6PEnwGfDmCGDQcpykI/MBDFYcXN+8onsAQHujmfFS++744bJ+R4/b2JoSGGebp0pWD3fiUy/huEvIIiNh2F8oa6hNu5k6cZNnKF1Jy8IXdvZImARsAhYBCwCFoEuQ2CmG5njC5VXMW5kk3DSiC8M4wwDOjjFDBe9GxbEjmfwivmSw3kRw6c//zd66+USk8Ldi17hVEZyk5ahqY2sjTs5kUlD78ZNUK/SdJk8605ePOx2BIuARcAiYBGwCFgEVhyBKTdyo/xdJIYwMTIM5XwhcCOz25hrJzdrGC4mvrDFDhFxTySRvOKXP/zixFwAzEkMOaawSLXbOmoUzjXLjM+ZBpqJG0kngZJ1I+4QALaeeSbU2ZXMsYY+gfaDBBTrTl4g0La7RcAiYBGwCFgELAInDQGTc8K1kZ1G4klEQMRFOPz446ETNdAuDN3IyKm5i3cht9owax2mMHr5XDGHHYnhpZde5xzJ3cN6OFcsGapN7uSwXrIhhYb4aWNJ3bBlC7iRRJCEwpVQmkvkLdlC7EAWAYuARcAiYBGwCFgElg+B5hJ4TqPSiVcvw7EjR4yxy8QXTmkYcmDd0rqRW+zs1i3Zi15xxx3X+e123ZEY7rzo6k8R0ZuXBTJjLeQWWAqbyWEynYbeTYNQrylDDD1TBcVmJy/LebCDWgQsAhYBi4BFwCKwLAiwG1lIAJernTAxjEqYGB6CUqFwHCkMJmeB60bVk2VZTTAoIn563z03/sGCieHZu1/1Tq313y/H2ubKTuZKJ9t2nAGeh6YSivK1dScvx4mwY1oELAIWAYuARcAisCwINLuRpSMgEuGMZIJDjz1hso6XMxt5rg0JIf704T03fKRVv5YWw50Xv/pqUvqr865oMtcKWn3esBhOu5PDOMPgecPgIETiKahxFRSON/TJGBWt2PWJgG2PsQhYBCwCFgGLgEVgJREI3cgsaC1dhGhUQK1chLGjQ42ayIGodRBfGLqRl99i2LAbapTiNft+/rUbZ2Iyixies/s1F2nt/4AAkssOYDt3MhDEE0nYMLjFyNZ4ngaPk1CsO3nZT4mdwCJgEbAIWAQsAhaBxSMw5UYOs5GjAo4NHYFKuXRctZNgppVxIzfvCgFKQjgvfGjPV++Z8f70j4GANd1LQKctHpLOI8xyJzf0DINM5UC6ZuuZZ4CvBNS5CorHxJBsdvJynxg7vkXAImARsAhYBCwCi0Jgyo3MtZFdji1EcKSGw4+zG7khUTNVH3lpRa0XsnAE3B/P4oXNGofHWQx3XnT1V4jo1xYy6KL6mpScRpk8o/6tG+Xvggzl/s2bIJrIgMdi1w13smbNQ1shb1Gw24MtAhYBi4BFwCJgEVg+BAwxFEFdZFPtxLiR8zB2dHgqtpAtikQNgesGFwpErle2IeL/23fPja8NZ51awVm7r34LaPrEyi4n1DIMnoN4w7ASioZoPAobt55iLIYeS9ew1bBBDC05XPEzZSdcaQQQIfWO50DkwsGWM5MimHzTDUBcUHyOJnrikPnAZSB64+3HetvNQMX6XEO1/Dx62emQfONFHY/1fjkChQ/fafokfuMZELvyaR37V7/zGJT//f6pPnJDErIffVkg7dCmUdWHyT/6BvDzrMbZganICe1vuQ/S+VrHKVAiYPLE106lOvD1MrPJrRnIXHcZYMxpP7+nYPLtt4AudF7jcmNkx7cIrBYEghJ4DWLIpJC1C6MIo4cPQbVSbbiR2XXMrCcshbdSsYVtUBT41kf23PhJ/tTcYXdd8urzPV/9FAhiKwn8tDs5eMXu4+nyeIFLeesZp4NW0mQnh8TQWg1X8izZuVYUAVeC3JyamjL63O0Qu+qslkvQYxUofORH5jN1MAeiJwaYjh7Xlzijf6hg3ku95RKIPOeUlmPV7x2C4kd/fMJbdZ+xCdJ/9vyOx6uhAuTe9R3TJ/byHZD4zfM79q///DAU/+GnU33ir90F8avP7nhM7Y79UPrsnrZ9Um97FkSete2E97kcBzJhm3jj1zizru3w7nkbIf3nLzjh6XN/+m1Qw8WWx891Luo/OQjFT951wnPbAy0C6w2BkBQaiyG7kSMsWaPg8BNPBtLVTWXwArcyGPdyQMpW3mLYmLjqOvLZe+/62v34jJe+IVk7lt9DRDtPyskL3clsK9Sh1TDQNSQi6Ns4APFUtpGEwtI101bDk7JeO6lFYBkRcM7eAJn3vmhBM1BNwcTv3QDZD70Y5Pae446t//QgFD9xF2DEgZ5P/EpbyxD34b4n2uRgBrIf7qyDT3UFE2+6wUzB5IxJWqfmPzYB+etvC7oIhJ6PX9nW4hmOk7/udvAfH287LLoCMtddDnJ79kS3uuTHqaEi5N717Y7jxi4/AxK/e+EJzR1Ylr/W0mLIA6bf8VxwL2ptlebP8x/6PvgPHzuhue1BFoH1iEBIDKVJOuH4QgGVYg7GR0aDushMDMMsZBHEFwbWsZNEChsnCRH3RTdkduNZF179eQD6rZN68lihpiF0jUwIeTHmmSASjcKmU7ZDrRpkJxtiyJVQ+Bgba3hST5udfOkRiL7wNEj+t4WVJFcHclD69N2Q+dBLZi2o8Hc/BO8XwxB99jZIvrU9ESt99h5ggtmuqSfGW1qc3AsGAeMuYFRC8k2dXck8dulf9wDVNcit6Tmtf+xeLX/hF2ZJcnMS4q85tyPg7C4tfT5wPasDk6AO51v2Z+LNBLxbmnf/USj8fWD5bdfm43pve+6Gi8AWw1aNQwyyH78S2FXdqjGGuXff2i1Q2XVYBLoegSk3MiedNLKRozEBwwcPQL1Wa3Ijs5VQmP2YWsknlxM24Yr/+6QthYjwmmuuEfcWi47MuxE3V0pUyEk7qHsI1QBovVEDbCYQg9t2nPUmrWXKlMjztJGtse7krv9+2AWeAAKJ1+6C2Bzu0pnD1vccAX2sArGXnXncR3qiYmLD+C+o1J88t22s4nyWWfz4T6G+5/Csrr2ffiVg4sRj3+Yz94n0KX7m51C/86mWh/b8068Yt3u3tOq3H4fyF+7ruJy5rHqdDq7/4igU/6418Yz96tmQeN2utoeXv3A/VL/9WLdAZddhEeh6BKbcyBLAcVnUWgAKVTz82COfRdBDAuAoCDGCJEd9EpNx9AteNllWGa9+YSrlf+lLX9KIXObj5LWTRgx5y9ddd5246aYj0vP2R+oxFUOPUtrDrE/QD6g2CiaGJAb7t55yVSyR2hVoGhJov1E/+aRCd/JOmp157SLAVj227i2kMbGIPPcUEOnjCVrl5n1Q+c8HAFMR6Pnnq9paheYzV+493zVxjM2NkyF6P/XK+Ry+4n3yH7wD/EfGZs3LLvXez17ddj21H+wHPVRa8vVGr9wBInN8/Gc4yXzIV/ZvrgBOFGnVyv/5S9DDJYg+bzu4u7fM6lK58WGofGVva5L80ZeDGGgtWUuegtzbvgG67C05HnZAi8BaRYCJoZQIosmNXC0X944dPngzoh7STAxJjjgIY8KlHLlYjFRl1XVPq7/ylVvUddddN3c24TKDd1KJIVsNL7vsegmw35mcnIxVsJQgHzOK/D5EGiANm5BoMJpMnbPxlNOuqdc0epyEwgH11p28zJeGHf5kIMBJHOze4yZ6Y8AJF+0aEwLK10H0xSH+a7PdrJPv+o5JPFlMfFo4N8cwznQ1Ozv6IHPtZScDpjnnnHzrzdAq01eekoXsX812uYcD5v/iVvAPtXZBz5yUrbvy9N725+ff7gE1Wjaf9376asBE68xfdiOzO7lT6/3cq4HjI1u1ybfcbDKGM3/5InB2znaRF/7qTvAeGpl1qLNrI2Te3T6hpXbnU1D6zM/nxNp2sAhYBAIEmt3IjiPANbWRBY0c3P+lWqn4ECEOoYBhIhyV6IyjQ/k4Jcs9PT1VgNP822+/Vp1sa6HZx8k8oaE7+cEHQfo9tWi0UI2XtZ+WIHsV+f0EsMlYDYEGt+7Y+btayywTQ2M1ZLFrq2l4Mk/fis0tHQf6enugr7cP4vEYRCOumbtW96BSqcL4xDiMT0yC8ltIlKzYKpd+IvfpmyD9rvaZvuNvvAHAUy2TBzgBgxMxuLUjDPNdsc5VYfJt35jVPfLc7ZD6w2fOd5gV60cVDyZ+/+st54vs3gKpP35O27VMvPEGYEvZfJpzei9kPnB5+7He/HWgsgciHYWeT17Vth8nnnACSrsm+hMm8aZVo7IPE2++0cR49jD5nBErSJ6GiTd/3VwnM1vqrZdA5Nmts9S5b/7628F/rH0iz3ww6sY+6/V+0o3nYq2tadqNHCSdMDEUQuUOPfbovwmgI8ZaCGLEQXFMgZpICKdQS8cqzmS0du65oLrBjXzSiSEvIHQnAwy5JVmOiyImlaAeBdgHoDaicSfTYN/mbVfG09nzjaYhxxlad/Ja+07N2g+n+g8ODsKWLYPgSNlxv75ScOTIEAwNDZk/GFZbY6kXdvk2N3YNt3PzsbSJv3/SdJen9swmBLkaVG7aByz50o5U8LHFf/4ZJH9vd9ts5cpXH4T6XYdbJnLEX33OnAkhPEfthwegduvi49Tktuy8EnPU/knIve97LS+B2K+cBYlff3rLz/Q4x2R+c96XTifirgt1mHzLTWYsZ0c/ZK69tPW4mmCcM7X99t4j99wBSP/FC1se7z85Afn33wbt5IL8vSOQ/5tAO7K58bXW+4+vAHBbf6/8AznIv/e788ZiNXRcT/eT1XA+1uIaj3cjB9qFlWLuvvGhQ99CxCEyxFCOSKBxqXFSp6iUVIkKwKDXLW7kriCGodVwdDTpNruTNahe0HqAADch0GA0Et2x8YwzX1+vEhqx67B2MpfQW308YC1+J5Z0T5FIBHbufBqkkkH8Uy6Xh2NjY5DPF6DuBTFPEdeFTCYNG/r7IZsN4q+KpRLs2/co1OsnJtS8pJuY52DoSuj93Kvm2Xv+3cr/+z6AmAOJa85reRDrCuavvR16P/OrbQctfPD74D3SWqqErYVsNZyrlT53D9RuZ/2uxbXo87dD8s1zWyhDiZ5WsyXfeCFELzuj5UK8h0eh9KmfQ8/fv2x+C2WZCSM10ab5Gqo/2A/q0bG262ZXc+5Pbuk4X/Ty0yH5u60zvms/PQSlT/ysrWB4+ct7ofr1h2eNP5d2Yel/3QO12xZ/zuYH5PL3Wk/3k+VH087QCoHAjcx6hWCqnRhR6xjSyBOPf6FWrz1GgEMINAxCjAqQE81u5IGBktct1kLe20l1JfMCmBhef/31+OUv73Wa3cmE1IMaNgDiRgRiq+GWLWfufAOB7PeM1bCRgGLdyWvuW8o38aefdy7wc7VahcefeNIQwk6NCeKZZ5wOsVjMkMJfPvDgqiGHc8W9negJZqmaxK8/A+QpbZIWvrIX/PuOQuZ/vLjtFJN/9E3Qk5WWn6MUXPd9zkb+EmlLCZxfAg3fE1pU+eCFsuWNLXCtGotj1398ENLvOXEh6ZnjVv5zL0BEAFtXWzXvgWEo/O0PO2IY/69Ph/grWouch4kl2Q+9pKU2Yztdx07JLBxLOslVcFpVj5nzbHdfh/V2P+m+M7A+VhTIE6JJPDFu5ChLVauxI4/v+3cEHOL4QiAaIQHHkHCy2Y38utft8q+99lrqhvjCriCGvIhmd3K1Wo8RqZSWkPVB9YHCjQSwGQUN9m0avCKR7r24xhbDWkAM+WEthmvni8funl27zjWWwkKhAA/te3TesYMcO3TOzqdBOp02lsO9ex9cFW7lyDO3Quq/P3vJT2LhYz828YftGluq5Gm9beduFqSea3HOtgxELm9tiZvr2KX43H90HOo/OTDnUD0ffwWI/tZlAU0yT9Gblx7jnBM1OrCrnuMa21WcqX7vCSj/270dh+OYSB6jVWNZHv/+o9DzidkxjBxrOfmHN80iyc7T+iHz/jaubZ7E1zDxlpuBj1/tbT3eT1b7OVut6w/dyEwMnShCNCKgXJj4+fjw0K2k2VoIR0HSiANyXCjIIcpiLBapdpsbuWuIYbM7uVA4FC1qTILy04pEH2jiNDvjThauc/rWM3f+dr2mhclODq2G1p28Wr9Ls9a9desW2H7KNmMp/MUDD86bFIYDMTl8xnnnGsvhgYOH4PDhI12PDZOG2EumNQjlmX3tBYePFoHmqKtrNqwJOKs0+qLTWu6fy6NxximX20v8l9Yxd5ydy1m682mxF58Jid+5YD5dl6UPx0JWvvZQ57FdCX0sVdOmugCX35ODKYi+fLqGczuJGZZwEXGn7VhG4sXXUPzbOyHxpt3gnNE6e7n8xV9A9ZZHO64789dXABPvVi3/gTuAk1M4kWRm4/hDlsLRIyXQk9Wpj1lAnYXUO7XiJ++eF9FelpO5hIOux/vJEsJnh5onAqEb2ZDCRtJJJCr04cf3fV57/pPsRgaAYRB4TKIeB+kUUoJK6fS2Wre5kbuKGIbuZA4dkzKXqJJOadQ9wO5kYHeyHiSCwcHTd7wehDvA7mSOM+QHF03R1mw4z0u4e7sxqbvowvNNosneBx+a033cbifsVt517jnACSn33Hv/gsnlyUTIOasfMu9rbc3hDNPcn3yrrWv3RNbdMeZuzxEofPwn8xp2MZU55jXBHJ1Kn7obaj/qbDGUW9KQ/duXth0p997vAleRCZtzzgbIvGd2eUKj7/fHt0D2Y1cCRlonb3DiBidwcOskAs74ens6//HC8acch9qqsSxP7KU7OoqiN5M8rlLDAt+cxdypccJR8Z+m61QvxTla6THs/WSlEV+/8wmTjhzEFpr4wigCaG906MnHvoAIQwRiCIBGQMAxQWIyhqKoVJa1rOrd5kbuGmLIC5npTq4iJSMCsh55/aDFAAFtZk3D3k2Dlyeyvc8O4gyDEnlKcwU9m4Gy2r+WAwMbYMeZZ5hEkwcfmh0wv5D9nXvO2SYh5bHHn4DR0dVT55V15VhfrmVj/c55WAuNe3HvCER2bwWRbS2q7D81aWoKd5qPLVls0ZpP6+TunM/xi+0zV41kHj9y4aCpANOuTbzpRqD6tORRu2ojnEjD1skezupt0yb+240mRm8uEXAuN9eudB8PzRqVPf/Qeh4en+eZU3amqX70fDUteWzOquY/RlZrs/eT1XrmVt+6TWyhgKkSeEwMy7mJn04MD91mtAsBj4LQoy66Y3UNuRhhqVvdyF1FDGe6k8sgE9qrZxTIXtS0gUBtQhKDKMX2bTvOfmO9piUnoLA72WgaWnfy6vs2zVjxzrPOgr6+HpNsMjIyuqj9bNw4YJJRxscnYd8jjyxqrJU62D1rA6TfN9tCtdD5Q7LBCQucuNCqhW7i7EevBDmQaNmn9Pl7ofbdJ+Y1PSewsJzMUrZ29XtbzRGKPHeav1MmLrtaJ/9oWqtRbk5B9sMvbekqZnxZmzD93tYSMkze2ZLHzTmzDzLXtRcBn0s30T17oO08TO7zf/k9yH7wchMr2pakcpxhMcjSn6tv8xjFj/4Y6veyB2x1tvV+P1mdZ231rdoYC002csON7BpRa3XosYc/R0ofYIkaRDxK7EYGNSHcSD4BqtytbuSuI4bN7uRapBiXSqUU6h5UtIG0aiShiMHB7af9JjrxzaZ2cj3MTrbu5NX3lTp+xRec/wwjYH3vfb8wMYaLaRxjeOEFzzAC2PfdPz+r12LmW4pjO2XMLmT8kGwYt+E/vqKtRiFbBGNXTsfTzZyDs5q9XwwvZOpF95Wn90Dkwi3gXrAZWEB6Pq2dAPfMY5O/fSFEX9I6QcZ/+BjkP/T9qUPa9Q3rDkcvPb1tkor/6Bhw7B+3TiLg89FN7DRP/WeHjA4lZxhjJjarJCLPz7GOkyxwzSR1exYyH2pf9WUmXqu98sl6v5/M57tj+yweASaFyNZCJoZc6SQigPzq0NCBJ79IWpukExRyhCQekyQmlZTFaD3FUg9d6UbuKmLIi2F38h13gKjV9rrFYjlWJi+F0sugxn7QFLiTQQxm+ze8INW/8YX1mjLE0GOLoTpxdzJrDxERCBRBXLqJJOX/+F/jZ/OE5sFOaxNTwJ9zrWs+jmMchTD9uQ837sN9w5/N8U3jsQRa+NnUfI2aOmG/VvPzoGy6nurDLxrvTa268VeMWQjPGywaeIWEBMhrblpbOD8fz5l8YQvXTPwXkTlAsMZQgIWRKmEMAJAamAVvNkoDNcYx+w4+D3DjxQbvTY0fYooIP7t7D2g1v+oT7b7WQkp41jN3m3F4vG5vztkbIPPexVsLZ1q+TjT2jytq5P7sW/NyXS8GW65d7O4aAPfCQfMQPbF5DccZs969Q1C763BAXudRrST9rheA+/TWbnqukVz6n8F1wu5fQ6hbxA8WPvxD8H45DIn/ch7ErtrZcq0s6F369N3ms/hrzm0vVfPwKBQ+9IOO++00D+sTsk4hN66vzXW2Zzb/oWOQ/6uA8HYixq0WwVbGCbZ8rtIwHf7+831gKe8njBOHLQX/jN6agc78xOHu/LPxXoXvB32mfjbdgr7Bkwbie6d5Ds6CGduMY+TczINvm8FbTfMEcm/mPs7zhs9T8zWOMT+bMcM5wzVOrTxYY2Nv0/tpes/cysMx2EPHt/PgubGRqTnMUYwR/9Kh4HdrABWHJTR+Dueb+izs09gfkPmdatYUYmHGm8bwhnIqAAAgAElEQVRkXjeKFejEv4tZu9ANiWFUQnFs5Ae5sWN3EjAxZDcyjpKgMVJuPoFuMZVKVKPRXd6ll4LuhtrIM2E66TqGzQsK3cn3FosOjEPU9XWSfM5O1r2chMIl8rg8HpLcsv2snW+q+xDlSihqse7kkAQ2CGHAWwLSYn5RNL8O3phN9pjkGLIWkJ5mghYcbw5scM5pwshky5CuqXH5wg9IH4933PyGZTbIVWPN4Zg8cED6Qu9XSLwa620Qs6lxzfcwIIFTRHdqzFafBeSSxw+WFe5FMCs0RLOxhcYzvx+gYNYcrq1pn8FnDYLbREiX4kYuhYBLLrl41RDD9HteCO45rfX1OLtUHwtq7nJyisi2J0/efUeh8JEfTX2tOGM1+5GXz0//r+nLyHGK9TufWpbbKsfNRS4IiCDHU7arATxzciaD9XuGoH7XIfB+OTIvMtg8Rs9HX962kgzrDVZuDuJa46/cCfEWouAcC8huZG6ptz8bIhdvbYkPxx9yljS35B88E6LPay0CzrqJpc92/qOl0zxMZJnQcmv3B0D15keAZXg4eaXnn69qW6+53YluV2d5WS6MJR50KYlheD8xVC4kyg2iFhCfgDRNkb4GoTGf8T3eHMOkiAPi+T4ayqwRNN4Kxpgi4TPHa5CwJrJk/sRuEMeQpLaaf4q6hsQwXC/jHZJGw9mCvZlxA5Y5RQDNPKZ/uMdpIhckfjYRPmMoaF5v2Dfgw4Y0NpjxTFKsSQe/ZxprM2M31hLOr5k0hiR1ia+ZhQ7X7EaW7EJmi6ELtQOP7PssoTrC+oVospHhmEQxgY5T8BxRgj6oXZhK+d0kat28964jhqE7WcqcW5Yywe5krSiLosmdTDS44ZRTX+XGUju8mg7ErrkSihW7Xuh13VX916vrp132q7k31pSpjMFxa52kZbivt3cEWHJlpv4cW5LYojTfxnFlHF+2HC162emQfGPrKh6t5mPLZf2eI+DddQjqDyycDIZjshi3qS7TplIJZ+ByJi73y378ypaWy9Jn74HaHUE1kHaC0vxZ8V/uhvqPgwzpzLWXg7OjjVTNlx6A6k37OsLcaZ78//g++PuCxKr0+y4F96z+WWPx9cBlEaPPPxWSb754wae0euvjYCrorMK2Xu8nq/BUrdolh7WRJWciG1FrAV61+Nixg0/dECSdNNzIGo8JiTl2IyeUKiuV9boxG3nqftltZ4Sthpdddr0M3ckV1ElQ9Ywg7CPBcYa4iWsnJxPJc/tPOfU1NS6R18hO5iSUhiW/27Zl1zMPBJYlWHxiwpTI6+bGSQycZNCqVb/BFp8HIPlb50O0SetwZl+OByt/9h4gTtGf0ThuL/uB9tVNmrtTqQ65P78VOG6vbXPmUe6kzcHJN1wAXOKtU+OM2Pp9R8H72SHgyiDUoY7wzHGMtaEVBpxM8nftS92F8jLtyu4xMc/98TensnR7P/uq9lI1TVnAvf/yylk1sMM1F//xp1C/+3BHLHr/9VVtpWUm3/aN4DwJhN7/eXXL9Uz+92+Cnqi0JY48OZXrgInj63SHi5pPHGS3frfW6/2kW8/HWltXI+rLJJ0ExFBANIY0dvCpr5bKpQe5NjKXwEMhRrWCMZCRfJxEKXQj3377tapbKp3Muo9228ma6U6OFjGhXS+tPN0DxmoIm4hgM7uUt+446w0ETu+U1ZDLYFlNw247pfNez3qUl+iUdWqshe/+DiRef37byhcMbrPrsh3YrMfHlsm5Gtfd5fq77ZqzcwNk/nLxsZBzreNEP29HZNxnbIL0nz2/7bChvAwnZ3CSxsxWueFhqPy/IJ6P4yBZC7BdCzOkRcKFnk+3r0PdrHXYaizRE4eef2ojVVNTMPF7N5jD5PYeyH5oNvFnQsjEUA5mIPvhK1oul0l45St7zTXWruWvvQ38JyZO9JSctOPW4/3kpIG9DicOtQunS+BxroE/cfjxR0wJPES2FsIwaBiTrpwQnluopajc7W5kPpVd5UrmBYW1k2+66Yj0vP2RqhuNS11Kqjr1IGC/j3pAAGwmEoM9Gza+INnb/9xQ09BfZBLKOry2u2rL61GQNvn688HZOdsFyCfGuDY3JIC159q12ncfh9Lnp119TEbAEbOSRubS8Avnm0vUOPqCUyH5+wt3Sa7UhdacbNE8J4tAJ97QmvxQrgYTb7vZ1FDmzPBZjUvEsbUwVzMfdUoUYjf+xO83soBP74XMBy6fk4y269BpHnVgEnLv/Z45tJ17nl3I7ErulIDEMYqVrzzYUZOxcvM+qPznAyt1CpdsnvV4P1ky8OxAcyIQJp04pjayMKLWpYmxH08eG7kTUQ9pgKMOiVECGpMRnFQiWYp5tYrrnlZ/5Su3qG6qjTxzs11HDENyGLqTKxUvWqZ8kpTIaNC9iDTAVkM05JAGtz1t5xuUlsmpJBQOmLWxhnNe1N3awZawOv7MZK69FJwdrYkj9/QeGjUadXIgCWJjwrgEK//nl1D55vHajZyE0vOxl7cv4ZavQf7dt4IuBOSnXYu/dhfErz67Wy8fk4wRZhc3LzLx+gsg9rLpsoPNn3mPjEHhg3dA+p3PMzI5M9tM2RYuM5j8vd0tMVD7JyH3voCwcanD1Ftml6oz97gGGe0EJJet4/J1rRq7oNkVzS35pt0QvXR2iTtOOql+6zEjkN2utF+YXMIWR7Y8tmp6qACT7/pO157zTguz95NVedq6ftFhbCEnb5qkkygLXKvSoUf3/Tu7kI12oYBhIhwVICZQ6nwCM6V43K1xNnI3u5EZ/K4lhtdcc43g7GSZdyPRQjVe1n6akHqQsJ9L5IWVUHoGNr0g2dP/zHptWtPQhBhZweuu/3K1WqAteg+A2SjIDUz0kpD8nYsWnEla/PhPoD6jzFr6z58P7nmb2l4T6lgJcu/89pzSJEx0mPB0a2P5FpZxmdnSf/o8cM+fTfq4HxO/yk37oIcFrVs0tsyxhS5sbOWNvmxHa8LWVEou/qpzIP5r57bs5z8yBvkPBlqH7RpnRnOGdKvWbMVrl6DCMjUiE4PU22bL2PCYxu3+x7eYe2Wnubhv7s+/A+pIoVtPe9t12fvJqjtlXb/gUNLOVDqZkqgRUJocu3tydPjOqUonQCOENIaEkwnhFGrpWEVlvHo3ZyOH4HclMeTFtSuR55PfF2gasnQNbGbL4ZYdZ/+mUpjwWfDaA2MxtFbDrv9+tV1gJBKBp593LvAzC11zJZR8vvMvJa6PzJVOWNi6Xq/DLx940Dx3e+OKFdEXnhpY/AYSRk6lXf3d+e5lZs1fFnVmDbu5Gosls2hyp8aJI3IgNddQLT8Xg6mOsZJ8EFvSmKidaKvddRDUk9MkLhwn++GXgRxsve7yV/YCTVYh0iJzWx8tAVeACVvkBadCiq14DSmrmets1hbkLGDOBm7V6ncegOJnAq3Ddi31R8+GyCWtJXFK/7oHQCLEX31ua+1HTTDx+zcClyps9wdB9eZ9JrGJ21xVdxij6o2LK1N5oud0scetp/vJYrGyx8+NQLO10OHInYgAKal85LGH/8NYCoPHMGsXOuiMr4YSeDN33bXEMMxOBtjvHKoMR6aTUFQvCOg3SSig2QSyOTuw+QWpbP/u5koo1mo49wXezT34Zr5z59MglUyaZXL95GNjY4Yg1j3PvBdxXWBCuKG/39RF5lYslUwW8moghbze+K/tgvirltY1GyZS8PhyU8pUu8ConPN0s15i/v23zdnvRDt0ivMLx1wWqRzO2v3cq9tqOc6HEPP65iO101yzOfP+S8F5WuswAE74qMxBtNolwvBa2BoYvWRb20x1dSAHxY/9BLIcPtCmHVenmTH6F9Y5bJ2drPZPQO59y3dtnOg1Nd/j1sv9ZL542H4nhkBLa2FEQDE3tic3evROMKRQDLdKOtkW31QHOM3vdjcyI9PVxJDdyQ8+CJI1DcMkFO1hVgH2gdYDhLDJJKIAbd50+tNeC+BkPS6R52swhTNshvKJXf1dchS7gQYHB2HLlkFwZGdi4ysFR44MwdDQ0LQAbZfso9MyFuua5ZJnerQEeqQEip+Hi1C7LdDaY6tW5n0vaktOWq2LCQcncCxHS/zWBRC7onWcXzgfx8SV/+P+JZ2ea0FzTei2BOl9twETn06NpYKSv31B2y7kKRPbybp/Yev5xFVtY/vmyv7mMYwETcxpOSdnG3OcI2dbt2q12580CUjt4kH9AzngrOjmlnrrJRB5dvswAXY767FAaH01tvVwP1mN52U1rXk6ExlAOgLcCFMoPzf85KNf4QonnHCCxNZCMSqBxoVLuTDphLULzz0XVLeKWjefh64lhrzI5hJ5nIRSwVIClJ/WAD1cCQV0EGtIiJti6fR5GzZvu7xe18hl8jhDmbhMno01XE3fu5Zr5ezCvt4e6OvtM7WUoxHX9KvVPVMLeXxiHMYnJkH5/qrbaycB5Lk2w3GEHE/YrsVeuRMSLSp4dBp3WSx2jQlZLqYdkQnXxBnWnGm9lI1dqRxj2a5xFvFMUfDj+goM6ja3cR+D0qCGCsDSL2HjOtW9n+kgVfP+24AttO0ax5n2/vNVLT+muoKJN90AnSq5lP7XPcAxjqI33nKM8hd/AVwru7nNJYJd+sL9UPv2Y0t5ak7KWGv5fnJSAF0nkwa6hQgoATgTOaiLjHTs6OHbqoXCA0g0HJS/oxGudCIAJkE6hTgly2HSSbeWwJt5CruaGIaahmw1ZM9hLVKMO0RJ7dWyLF2jkHUNcZNAUypv88ZTTr1SusktHsca+rYayjr5vq7qbbJViYP/jdVvtDxt+RstQfSlOzrG5HWyrjnbMpD54IuNdM1C23IlGnQiMuEaC3/3w6D28RK22IvPhMTvtLf2NSeWLNm0rgQ5mG5PRv/gJmAx8XaNSx9m3ndpy4/VwTzk3nMr8Dkm0fr8OltSLWsnmwE1weTbbwE9WTme/2aiYK7HNq2dFNCSYWYHsgh0MQLNVU4cFrSOCFBe6cjIwaduMdZCgmEUNCwJj7FEjXCjOR+xFK2n+ItWXy3WQj4FXU8MuUQeaxpGIhNOs9VQgexFrfoDqyFsAtSbnGjs1I3bTv8VpTASuJQJwmooQT1H2ywC3YUA1wkmb3a1El5lp/rJ/Hn53++H6ndmW3C4rFv6A5e3FGoOd89ZyJz53KrVvr8fTHLDErbI7i0mEWKuNvnOb4MeKc7VbUGfd9LxW9BAS9SZCeHEH9zUcbROepFzWYrNtfOO54J70WDLObjOdOHDHA41u2WuuwycM/tar40JJVdbmUPSaIlgssNYBLoGAXYhG2IYVjmJICec1EcOPfkNv1Z9CkgMBwknNEJCjklQE83Wwnq91+927cJmsLuaGPJCmyuhsHSNKnux0GqoQPQh0QZAbUrlAcCmTM+G3en+jbvZaugxMWyqoWy5Ydd8z+xC5oFAz8euBLEh0bZn4a9/AN6Do7M+T7x2F8Q6aA2y8HH1G48CayS2Zg4KJt/xrc5l8eax/rBL5BmbIfWO58xpvWR37uQf3gTEFYyWsHUiSUs4zbyH8h8fB05S6dQ6nUNTJvH//rLt4Vwxhes9o2x9ey996m6o/Sio5TyzxV9zLsRffU7bsVkjkrUibbMIrBcEpkrfCQTBlsKGtbAwNrInP3mM/4Ie5tJ3QGKEEI9J0OOhtVAm3OpqkahZdcSwndWQYw2RsE9pGgjcybgJiDZu2HbqFY6b2Ox5gdXQWA75d42NN1wv3+VVv8/Yr54NidftarsP1qDL/ckts0gUW3s4G5br57ZqnJCQ/4tbTWJCp6zZZtmVxYDJJf9S73oeoDt3VnTt9ieg9LlpaZjFzNt8bPZvrgC5Ncha74ZW/8lBKH7yro5L6ZQIUvrcPcDJJe1ap2uHyyxOvvUm4OdWzTmjFzLXt6/W4t13FAof+VE3wGjXYBFYdgTCLGS+nXI95KAmMoLvlY8eO/TUrYA4wqSQ3chS4Cghjc+MLVxt1kIGtesthrzIZqth9EDK9WLVGJfJI19kFOheYKshaxtiYDVEdAY3n37mlVqLGFsOVaNUntU2XPbvkZ1gCRCIXLwVUm9/dtuRWOsv/5EfztLrY/LFFSxEh9i2ZvHrTvOwu3Py7d9sSyDms00mqel3v6BtZm3zGCz4zPGFzQkc85ljPn1MjWR34bGW8xn7RPrUf3QA2F3fqWU/eDmwxmWrFlYraXd8p1hOthSyxbBT65RNDZ6CibfcvCzn6USwtMdYBJYTgSnNQhmIWXNcoRC6evTJx28h8oeMtZDIaBaCsRaKCXR0njOR3WqsWtte9FaDoPVMDFcNMWy2GtbrE5EyyAQondI+ZBUo41ImwI2AtBEINibS6bN7Nm17tlcn6Tcsh6SN0RBsvOFyfpXs2ItCwBGQeNU5ALHZFjZ2seqjRaj/9FDLLFpOWGgniMxr0sfKpkTaVEOExDW72pKm2g8OHFfxYyH7YjcmW64wGWSQt2tUVYbg1vccXsjwa74vy+Ngi2uAN167fX/bxBVMRiB62ezyeCFg/n1HwT+U74gfX0Ncdaddq//k0KqWrVnzF4/d4JIgEMYVIlc4cRAcl4khqsnhQz8tFwoPA8IIkLEYNlzIclw4kAMpiglQ5Uikt74arYUM3qoghrzQ5gxl1jWsx1TMK8sEkmqUyoN+QBrgZJSAHNJAemDThalM/y52KRtyyDWUrYTNknxp7CAWAYuARcAiYBFYiwg0S9NIlqtiUugiFPNjewujw/cC4iiTQiNNQ+xCBlP6jlAW3IQqR6qyupp0C2eew1VFDNlqeMcdIMJqKImKilVJp0hjhusoG5eyIYd6IyAOAMFA3+C257nx9FZDDL2gVF7oUrbJKGvxK233ZBGwCFgELAIWgRND4LhkE4Eg3YAYepXC4fGhQz8ChFEgGgUhDClkFzKTQhSUj6EoluOyGlY5Yd3Ca6+9lhBxaTPqTmxr8z5q1RDDZqvhE0/0CoAht17X0bpTj6MOXMoaqTfIUqYBMpZDGCCgDZu2n3EZilhPmIwSSNjwI3At22YRsAhYBCwCFgGLwPpGICSFLGQ9JU3jIpCuTg4feOJ2BDwGBKM4ZSnEY4Jwgl3IJEQx4kcqkYioAQx6Z5wxoVdDlZNWZ3zVEcPQango/jMZJqI4lUqijpRiq6EA7ENS/YS4URMMIMIGgXLjhlNOfyGim2bLoe9r0MrovNpM5fV9H7C7twhYBCwCFgGLQFDYiAmh0SsEcBxhLIVEXuHYwSd/oEmNEMExgTCKxHGFckwDjbO1MEJY9OPxcphwsq3yLLVarYV8KawqYhhaDcNElHS6Lg9VhiPsUq4BJEGrtEbq0UwONW3gOEO2GgLABkS5aeMppz2P0E0at3KYqWzJob0lWAQsAhYBi4BFYN0iMJMUcgYyk0IkrzRycP+PiBSXYzLWQo4vJIHHBNdCJpwEIQtRgFLoQi4UImo1iVmveothuIHmRJRYrOooJSM1WYnXq5BE6WWkgh5F0I8C+pkcamJiCBuk42wa2Hb6czXJeDM5tG7ldXs/sBu3CFgELAIWgXWMwPHu40CWhkmhQFUZPfTkj5XvDzcshccMKdQwJhHGlIRJUm4+EoNSVMUrUqp6tRrzV1Ppu3anfdVZDJuthpyIErqUAfIRz/HiSJQiJTIcbygI+zSofkAxwIkpBNTvOpFNvVtOuwRRNiyHAGQTUtbxbcFu3SJgEbAIWATWIwLNiSbIiSbsQjbuY1WaOLL/Ls+vDyPgGCeYAOlRAXJMs4g14QRKnSfEouu7FYBMnTULV7sLObwGViUxnEkOOUt5yBt3qUpRVavFBegUCciS4phD3QcIG4zVEKAfAPqFkP19W7ZfImUsw/GGiuMN2bXMJWs5IYX/2aSU9XifsHu2CFgELAIWgTWOgCGEHEnH8YSiUQO5EVeoVDU/fuTAXVqrMQAYI4AxgcaNfEyDGEeJk6ghp0EUZTRawRjWBt0+D+A0fzXHFTaf8lVLDENyeM011wjOUo5EJpxRXXQ53tCTfhyUk65rPyM55pBEH4LqD8ghMjnsA8DevsHtu51Iot+UzFNB3KERwDZZKTZjeY3fG+z2LAIWAYuARWCdIWDiCYEJIZqEE3YdhxnIfr08Nj50YA8ATQDAOAEZUkggxwTqccWJJsLJg/QLrnIqHFc4IFIeC1mv5izkmZfAqieGnIiyd+9efPBBkBxvCFBxazWKeYLFr1njUGU0il4C6gWCfgLdP00OoSe7YfN58XTPFt8DNARRB8TQxh2us7uF3a5FwCJgEbAIrGkEjosnFGishUFVE6BKceJIbnT4AQCYDEkhghgDFq8GnBCkJ1DIPKEoulqVo1GsAsS9MK5w165dtBo1C1ud8FVNDJtdys3kkJNRPK8e80Q9YWIOWQBbUM80OaQ+disTANdZ7olnek7N9m8+Syt0fJOtTMDl86xreU3fI+zmLAIWAYuARWAdIDDTdcxl7thK6BhrIfm5saOPVPKTTwHiJAJMsPsYAcdDUog6ELA2MYU6UnbdSLU52WQtkUK+HFY9MWwmh2EySuKwcojciB/xY6qugoSUJnKIoPuIsA8ReklTLyD0OG50oGfTKecJEUkqFegcGkmbUAS7IYi9Dr5DdosWAYuARcAiYBFYEwiEUjT8zBqFgeuYnwVoXS9NDh98wPdqo0AwiQIniGACkcaJ4wkBJ5pJoYzIilN3qohevbxV+msl2WRNuZKbN8MSNs3i183k0Kt5CQmYDMihypJm66HoQ6ReAOolwF4k6AGkTGZg81mxZN+g9kmYuEN2K2vOXGZBbBt7uCbuFHYTFgGLgEXAIrCmEZiKJUQEthDyg+ses6VQOKirpfGh/OjRR4AwTwiTaOIKmRjiBIIeR8FJJjLHlkIFVHKjbnk9kMI1YzEMr+5O5JAthwIgyTGHJDBDGoxrmbiMHgjjUgagLABmIpH4xvTA5rOEE00oP8hYDlzLYRk9SxDX9B3Fbs4iYBGwCFgEViUCISHksnbGSshJJmHmsQOg/Vq5MHr0kXq9MgJAeQDMsQuZQE+gIYU4gQImUVOeYwo1QGm9WArDE74mXMnzsRxqTVFf+oYceqTSoHUGELJE0COgQRKN1RCzAJBBgFSqd8OZiXT/ZiJ0piulNCyIxsVsCeKqvHPYRVsELAIWAYvAmkJgJiE0ZNDUPA7cx4jklwtjR4sTxx4ngCIA5IEoh8ZaiBMaYJJfA0EOhMi7KAtMCh3lVITA2lp3HzdfDGuSGPIGZ7qVhUi4vl+I+o4b9z0vIYBSIESGSGUIoAcImBD2MFFklzJbDhEoLYSTSfdvPCOayPZrBcK4lk2d5YAgsu4hP4XCh1b/cE3da+xmLAIWAYuARaBLEQjJoKlx3PCBhoQQmRAa1zHoWjk3VhgbeUJrP0+ABWMpJMwbIshZyAg5NMRQ5kHrvAYsOq5bdnyv4jjpmtZlb2ZMoZkOcU0qHq85YhhwNDL7akUOtS5HfF/HfCkSCrwkkkwDqQygyACpLCGTRMwCQgaILYeUBoCk60Z7k32bTnNjqQwpEpyxbCqmNAgiE8JQ4qaJJ3bp18kuyyJgEbAIWAQsAqsTgWnroCFnxmU8RQgbMjQoUXvVYr40Przf82qsS1gypBDZUgh5QMohMSmUOSCdB2QpGlWQ4JYcpcuOI6pCJOrrjRQ2+PXqvDDmWvVMcjg6uleEOoc57UZAQdQVftz3IMlZyyB1WhOliUkhsZuZXcqYQTLEME1AKURMSDeSTfYMnBKLp3o0oTSxhyZ7edrF3CCnx1VPsZbEuc6Y/dwiYBGwCFgELAKzEZiyDBorXUAGA4vdNCHkpJKAHJKqVoqTpcnRg8qr54iojIDsOi4QhtZCygGKPCLlBL+nBH9WdFwoedqpgIRaVnj1UKdwYGCXDquarGVLYYj8mrQYNl9WzQkpTA4zGZDjouagV4qQJ6LkU0yiSPhsPQRIKRJpQwaZHBJmGm7lNAGk+HMASgJhQkiZSGb7t0VTmV5EN8qJKSY5hS2JobQNu5kJgI3NYZk9LsPDr61V0d7+LAIWAYuARcAicDwCU9bAxu/KUIOQ/YAsN2Mq2TXIoSGCxkLI9Y29Wq2Ynyjlxg5ppcqAVAbAEscTookppAK7jwEpz6SQSaJEXeDPHXBLinQZHayiq2vkJut9Ourn86CaSeFadR3PvAbXPDFsWO+MlA2LYHP5vHS6LkdHS44QZZeoGlEuxZTvxDX6CQGYBKKUVpACweRQpNmdrANiaNzK/CCiBCLEgSAWjad6Y+nsxkg8nQZCx2gfNlzNTAHN66AIs7Ei8nsBWTSrAwrlJBtmRVPD0TaLgEXAImARsAisUQRCA4lheYbvmd+M5rcfk0DDAUMiyO+z5Ay/F2YZm8PIr1cLhWohN1KrFCcAoUoEFUQss+s4cB9DQQAUAzeyLoAWeSGhCIhFDVQS5JSl41ekh1XEWF3rhDcwkPQLhYjiMndrTbx6PpfTumEgoeUwJIe5jQcFax26rnZC1zIpHXOFiitUCaEwqQCMFVEDpQNrIaQalsMk8WcECUCKE0EMEGIAIhpPpvojiXTWicRTUkYiPG9gRZwZg9hkNeTP+IvQCGO1buf5XLq2j0XAImARsAisVgRCy+DU776GJdCQxGZXcWAyNOXr2GKnVL3u1yvFermQq5SKYwC6BgRVRKgCYYUQyhgQwlJgKWRSCEUBaKyDEqCkJZUkybKnZQWlqIauY88TPieZZEdO0euVFAYkfR21VnGHoWvZmay5ADKiI9WoVhTTii2IylgQNUISlTIkkRD5OUmASURKEJNDgDgBGeshIEYBKIKAEek4iWg82+vGYknpRGPScSP8946xIjb+N8uC2CCJDWPiOjo7dqsWAYuARcAisOYRaLAOYwhpWAaPtxA2kkmCX4Ja+V5d+bWqV62WapXchPL9MgHVAbAORDW2EiJgBYAthVAmwjICBcSQzHORpCwJglJgIZRlIfn13nkAAAgESURBVP2KkFgV9VgNQNX9nqjXynXcIKlrMvO403W2roihucyaMpabXcvj40ckWw8LEHdRVyMce6g1xUBSTPgioYVOEGKCCSKhSDA5BKQEEiYImCBSPLAamkcUqEEQEV0A4IcDBI4bj6ccNxaXTiQqHCcihOMK6ThsKEchkFvw5xIbzs2K1/x9wm7QImARsAhYBNYDAiHlIM2/jE3TQeqmVr6vte9p368rv17zvWrFq1SKgOADmIdHRJ4hhEg1AOBHNbAWYgUBy8RxhYTlgBTqMhNCJCoLLcra0WVQWBUCqxxLSCJWT0PFYythX98WNdN1vF5J4bqzGDZ/7dpZD/N5kBx7iOi5ZZAR0LUok0PSEJNKxklQnFAnhBZxjTpBnIgSuJMDYsgEETAKBFEQEAUNEQCIEICLCA4BOFyukYAkPwOhICRTsAdNsCFxkMWUUZ1zV9bD7cLu0SJgEbAIWATWNgL8C65h8DD5mBxARSa4kDQSakAWgQOFgCp4Bp8IfATwAKAOAuqgga2ENQC2FmKl4UauaMIKIpUFibIWuoIkyqixoqSqoIAqk0IQ0VoCVJ3I9TiWMJMBNTPBZD0TwvDqW9eko5X1kGMPsyOOzDm+Ey1qB9F3KyAjCH6ECSJbAg1JZIKoIUYk4lNxhgQxJonGYmjIoY6CQM5Ydtm1DAiuIYYEDiEwMXQASBChwAY5ZGJIhiBOReSu63O0tm+TdncWAYuARWAdITCVcUKEhhCaNExNhBpNND4yMfSRQBEaQugDgceuYyHQA81kUASkEKDGZNC4khvxhYjakEClMSCDbFlUWCVw6nFDCB2vlhJ+1nf83EZfzYwltKQwuBYt6WghiF0oHEHOXGb3cjku5UyCiCAixlUs/ahJPOHXFJBGEPwzE0PdIIdMCClCQC4ARpgMEoFjrIdMDommrIZB3pWxFwZu5Ea6srUarqMbp92qRcAiYBFYgwhMWQuD9GP+/WZqh7EbecpaiKgMKWQrIYLPJBGA6gjoARkXcj0ghSKwGuoG+UM0JNAQROXU+DWBrs8khImKUqHbOJ3eQutJm3Ahl5Qlhk1ohZnL/NYdd4Bg3cOBgaRoJohSklNF30VyIojKRZKROnnRKbIIOsLEEIE40SSCoCMKRASBXERytZ4ihQ4SF+1hyyFK405mt7LJT+YMlaB6C7FA08zW+GwhJ9r2tQhYBCwCFgGLwIoh0KJcHLLYLwCweTBQpeEAqoAYBsVm2VJITA6NC1kIfkaPAD1piJ5gYlgnE2fI7mRh4g2ZBEbQrRGyVVB6hH49Ro6nFPpsIQwJ4ehoSYe6hLyOa6+9ltaLNuFCzrslhjPQmuleHh3dhSFBLBTGRDGGMpJXTsXRjiu0gxXl+pJdwiIiQLs+ajd4zRZCHVFKuCEpDN3IGsARhFIjP2tBiJLYWsj/E1oQMRkMiKG16i7kcrZ9LQIWAYuARaCLEWjEGCIhatJaaBYwRGM1JKWRfwGCr5GU4PjChjt5ihxK7TEZ1GxBBF13SHgaRPBagU9x6XmaS5oJv56RfqpKKp3u1yEhHBjYS6EuofnlukZrHS/2/Fti2AbBZoIYWhDZxcwxiAOTKcFJKrHYhKxWpWQrYk2SI2vkMEkUghwftCt8cJRgC6E0r7Xgz5TUip9BEglBqKVgSyGRINZ1R/5eBKRQmvyUoIXvLfaE2+MtAhYBi4BFwCKwkggYy2CjKZNXYmKmCEhoBM1WO62N5VAolirUBEoIUlpLJTT42mHLofJk47UDwtMafSaDKop+VKHP1sFYTKlqtVdxUsloT1FzDGHoMuY52UJoCeHcZ94Sw7kxmiVx08qKmKqWBZPEWkRItiR6npCurEnPA8eRKJVC6QghFV/bEqVQKEka66CQmp8lmp/NH08BIQzJabhEZ9qKOI9V2y4WAYuARcAiYBE4uQj4TaTwOFKGnF+ChEpoREVK8LPW/LOWpIQiJaWrfK2VlKR8Rcp1wfdUVLmuVmwZjNa1YjJYjCW0tQ4u3Xm2xHABWLZyM7MVsVqdQI5FZFdztRoTtVRRxMtCevGqiFSlVMoRnlM1zxHXF1o5QmlfuI4UWvuCyEWt2baozflwyUWi4HXYZpLEBSzbdrUIWAQsAhYBi8BJQ2CmyxZRkMehg9x8YcwjiB4J4WjPV1oKRwvp67rnaCl97foxxc/1mFJuJaYrCa2ixZSOxao6dBXHYr3E1kHrLl78abbE8AQxnEkSeRiuw8wksba9iOxurterGBLFVC0qlPKQyaLvRURCKSaDqKKO0MaIzpJNAJqiU6/DpUX18STxBJdsD7MIWAQsAhYBi8BJQaAmTNGvqYZCksBa4Nrl10KQrPlaCElljs9y65pJoJQuFaM1HRLBSCRG7CaOHkgRk0EuXcdj2NjBpTutlhguAZYz4xG5ogq7m0NrIhPFbZVNWKuVkMmi59VQqSz6PTVUvodZ30OlUuZcMHlsXpLWLOVkm0XAImARsAhYBFY3AkJwjYfpxqSPf5KySDnHJem45ExGScocuW6UmARGo0k6FB+mkAg2WwX5WBs3uPTXhCUdS4/pcbGB119/vcE4JIv8OiSM/JpJIz8zcQyXwgRyGZZlh7QIWAQsAhYBi0BXIMCEL1wIEz9+zeSPn0O3ML8OXcPNJJBf24zi5TuNloAsH7bHjTwzRjAkjGEnJo6dlsIWyBVaqp3GImARsAhYBCwCS4YAk7tOg7EbuPnz0AoYvmdJ4JKdinkN9P8BUWW4r9JRNsEAAAAASUVORK5CYII=",Io="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA4oAAABgCAYAAABbuoyBAAAAAXNSR0IArs4c6QAAIABJREFUeF7tnQlgXFd57//n3HtnH40kW5aXLDbZ45DNCUtJiAkkgbyEJLTQPl7b10Jbur6WfSlgAoWyl76WFtrC60JpG1qSACWEkJCwlC17YifO5sSJF1m2pNHsdznn9Tt37mgk3RnJlixr+Q44M5o59yy/c+fO/c/3ne8TOMZFay2iIVx//fWt59u3b289bx/i8PDm2NeP8TS4eybABJgAE2ACTIAJMAEmwASYwIwEBga267hKmzdvbr2+bdu21nMhRGz9GTuaY4VjJrqmCkQShiQCS6W9ol4fNeNqnFAWx9UGw+eNyjEb6xwZ8+FMgAkwASbABJgAE2ACTIAJMIFJBJLJrBGAz6WHdHJ3zjxPpfp0Pr9ek5gk4XgsBeMxE18kFMmC2C4Qi2uelQNjOem6dVGvp2QjV5YF3xNBkBNB4JmxKuUfszHzuc0EmAATYAJMgAkwASbABJgAE5gLASltIwoty9GWVdZF29HJck6lUnWVSKT0cG9ZFQ4cr6YKxoW2LB4T0RVZE0ko3nkn5PDwdjkwkJUjI3utatqy0lVpNRLSSjSqVpC0ZeB7Uumk0Cow400qdUzGPZcTgo9lAkyACTABJsAEmAATYAJMYGUTaEhpRKKQlpaioS3bUVbDV24yEyRdFdQyKsjUgqC/f30wPFxRAwOb1datUJFlcSHF4jERXOduvba3XsTLlcBWodXxWmAtFNYIgTXn/NzzvFTK7g0CQCsNpTVA/w8fuDABJsAEmAATYAJMgAkwASbABJY0ARJhwvwHkEJASAHLAioV33/4J7vuBTAEgWcRiLtEUtz+S1eeM0picVkKxdMuePVpCPC/tMBlgLgQWlut1TUKkP6j0bemd9dJZwxuCnyNINBQ9C98y4hFLkyACTABJsAEmAATYAJMgAkwgaVMYEIkAtIikShg2QKPP7QPxZHxUEHSv1BRkgntZ0LjNlj45513f23nQsz9qFsUT7/wukt0oN6qtb6qOeOJeZHwi4L4NC2GAhpnnHfSIcuRqwJfIfBpX6KGUiQUzQELwYX7YAJMgAkwASbABJgAE2ACTIAJHAUCGkIISAlIsiTagGVLNGoeHn/o6WZ/TZFIf1GSiAkJRFbFbwhLfurRn91411EYXKvJo6a6Tj//utdoqHdrrS/oNAENDWEmrpsikEBoFPoLz63fuOY4zyOhGFkWm+6nWrNUPJpnBLfNBJgAE2ACTIAJMAEmwASYwFEhYMxe5GpKLqcWBbQJLYmOI/Hck/tQKpabPqlhPRKJWpD+mS7bhBB3C8g/ffTeG796NAY770LxjPNec6KC/9caeNVsBkxikf5P6UG0aloYtcbG0zceFMJa7Xsavq+hfBKTCN1QebfibNByHSbABJgAE2ACTIAJMAEmwAQWFQEBSXYyEoq2gE3/HIHA97D78d3hG5r2LJKRLLQkxonE9ikJ4BYJ+3ceue+rz8znVOdNKL72ta+1Hnii8Yf/PecPaiA7+0GGmw9D/UeKMXzM5nNDq9cPDnquAolFsixG7qesFWdPl2syASbABJgAE2ACTIAJMAEmsAgItLYchm6nZEkkkegkJA7u2YdKudoUimGkGyPUos2MMwxfAJX/tqm9/5yTk3/+la98JZiP2c6LUDSBahS+rDXOP/xBNaOaNoPZ0B5FY1mEwvpNG0cBq89zyaqojFCk4DaRpjz8vvgIJsAEmAATYAJMgAkwASbABJjAwhMwmg9h8BoSirYt4SQEdOBi3+5n6Z3QktgMZGOkYqgWZz1YIXAvJF4/HwFvZt9rh+GdccE1VwYKX4bWhVnPYFLFyUIxCm2qtSKr4mjfmsE+r6HhkVUxUKC0GWGujDkP/ciGy0cxASbABJgAE2ACTIAJMAEmwAQOlwAF8RRhGgzLknDImpgUGNm/H9VKBYJUotGFYcTTIxGKzeOLlsTrH7n75m8e7hDb689JbZ265Zp3QeHDgG7O6vCHEga0abqeNvcrko4moUimxXUbN40rbfWQVTHwyP00tDia/IpcmAATYAJMgAkwASbABJgAE2ACS4BAmC+xGenUuJwKQHkYevaZUCQaoThhRTQ78owL6pFINqEg8ceP3XPzR48UzZH0ihe/+LXpQw33i9D6l460YzouinpqHo04bIo/86jM+5lsvtI3OJh1Gxq+SxZFjYBcU0lcslacC34+lgkwASbABJgAE2ACTIAJMIEFIBAaCQUs2ptoCdgJiURSYHRoL6qValMMklgM5RlFPA1jnXaOejqrYQvxr6uSiTf86Edfqc2qflulwxaKW7a8tlDS7q3Q+oWH21ls/abaCzWfMmkVSSCSRTG0NGqsPXFjVcPOsFVxXohzI0yACTABJsAEmAATYAJMgAksIIF4a6KLoWd3N8UgpcyQzec0MHreLNHmxiMdrxA/yYvEFffc85Xi4TRxWELx3K3X9taK6tsauPBwOpm57oQlMbQqklo0ZkNjZczk8/W+NWtTbFWcmSTXYAJMgAkwASbABJgAE2ACTGDxEOhqTSzT3sRwT2Lkemr+bonDw5JrHSctgJ+lC/Ly+++8aWy2ZGbdsxGJ4/o2rfUFs218NvVCt1NhBGHofkqYQrdT85pxMVVYu3FTTcNOs1VxNlS5DhNgAkyACTABJsAEmAATYAKLgUBHa+LuaG9iKAyNJiJLIqVSpL+M+2moleajCCHuTveIy2YrFmfV6/Mven2fW62QSNwyH4OMbcO4nKowjaKxKIaWRU05MWivYi7v9g2uTbBV8aitADfMBJgAE2ACTIAJMAEmwASYwDwS6GhN3E97EythdFPKlWEsipFYpL9ov+I8DqTZlBDinkQme9lDP/jy6Eytz9g97Uks68YdR5Yjcabuw/dnb1XcWNdwUmxVnB1XrsUEmAATYAJMgAkwASbABJjAsSOwWKyJ7QQo12JOJC+dac9iV6G4desH7L3Feyn/xmULgndGq2Iu6BtcZ7FVcUFWgzthAkyACTABJsAEmAATYAJM4AgJLDZr4pRp3La+cP6Vd975Ab/T9LoKxdPOv+ZzWus3HSGbwzqsm1XRuKE29yoObtzoAk6CrYqHhZcrMwEmwASYABNgAkyACTABJrCABOKtiQ0M7d7dzJu4MHsTOwpBIT6/896bf/uwheLpW659q1LqkwvIMuxqBqtiOptX/WvXSrYqLvjKcIdMgAkwASbABJgAE2ACTIAJzILAIrcmtmYgpXzbo/fc9Km4KcVaFE+74LprdKC+CmjaWblgZbZWxbUnbvS0cBy2Ki7Y0nBHTIAJMAEmwASYABNgAkyACcySwGK3Jk5MQyhhydfsvPvGm6dObZpQPGPLa85Xyv+eBrKz5DD/1Wa0KubQv3Yd2Ko4/+i5RSbABJgAE2ACTIAJMAEmwASOnMBSsSZGMxRARUr7pY/c89V722c9SSiaXIlFfZ+G3njkaOZ25KytihtPDDQSFlsV58abj2YCTIAJMAEmwASYABNgAkxg/ggsHWvixJwFxNPpgjivPcfiJKF42vnX/LvW+ufnD9McWmKr4hzg8aFMgAkwASbABJgAE2ACTIAJLDSBpWZNnGRBFOI/dt578y9Er7WE4qlbrvldKP3ZhYYZ199srYqDGzcqwJFsVVwMq8ZjYAJMYMEJSAGZS3TsVpVdQOnW+yLtQDgLs/VcjTeOHIcQkPkERG8KsicF2ZuEKKSgD1XR+PFzpl2RS0DIGVMBH9YYVM0HvGDGY5yzB5F/+0Vd61X+5m54D+yfsa25VtAVDzpQk5uRAvm3/Bycc9Z2bN57cAilT/xgrt3z8UyACTABJjCFwFK0Jk6aghS/99g9N/+V+a6l/2x+wXXneH7wY2ikFtVqs1VxUS0HD4YJMIHFRUBkE+j73NUdBzX+ge/Cf3Kk9b5z+gBy77oYwppfgTV1AMFQGcW33Ro7LhJ49vG9EL1JyAL9S0EW0hCFZCgM6bV8EogRgfVvPIbqvz1k2u3722sgUva8LkjpY9+H9/CBrm2S2C786SsgV2U61nPv24f6LY+h5z2XzOv44horvv1WBPvL096y1udR+Njlnc+NbXfAf2p0VuMjznJgHsIW+AGCfdPHOqtBcCUmwASYwBIgsJStiS28AnXHtl60/ac3PiDOvvxXso2D4/dorU9bTPxnbVU88UQNkRBsVVxMq8djYQJMYKEI9H72KsieZGx3lb+9B43vPT3pvfzbXtLV0jQf43Yf3I/yJ34Y21TqmtOR+YXNR9RN5Yv3ovHdXWa+NO/5LsU3fwvBwUrXZrNv3ILk1s7b+HXVRfGd34FzziCyv7Flvoc4qT0daIy98UbQ49SS+bXzkHr582L7958bR/VLD8xqbHqkbpj0vPMi2KetntUxnSp5jx1C6UN3zqkNPpgJMAEmsJgJLHlrYhOuEGJncnXPFnHqedf8A6B/ddFCZ6viol0aHhgTYALHnkDPH18C+/T4G/j6fz6G6r+GFrioFD78ClgnFI7qwOu3PYnqP94f20f2ty5A8uITj6j/0ke+D++RA7BPWYWe9289ojY6HuQrjLzxpkmuulPrOs8fRP4dM7icfv5uNH7wDDK/eBZSVx3d3187WW7l6gx6P3EFYM/dzbj21R2o3fgIyHpd+PjlHX+UmM1iNL7/DMgllwsTYAJMYDkSWBbWxEkLI/7x6PofHeFZoLUWr3vd6+R95bJtjTuJoOqlrCDIqUAXJIJ+X6gBCTGoFQYBrF1/8ik/Hyi7wFbFIwTOhzEBJrBkCWR//XwkL90UO35ygSx/+r8mvdf3d9dCJK1p9dVYHXqsZl6XgzmQi2VcCXYXAaWMa6h1Qm9sneqXHkT91sdj38u/byucU1cdHm+loUoNjL/3dtA4kxediOybLji8NmaoTS6RxXfEu8vSoaHL6WWQq9IdW2rnnfvDFyFxwYZ5HePUxjrtM5zJ6nk4gyr/9c/g/tduc0jvX11t9o4eaan++3bUb370SA/n45gAE2ACi5pAnDVRaq+4b9cT/wFgv5AYUtBDtpbDCtaItEQxsKyylXHqQY/nnpfL+TfccIMSQkx3EzlGM1+0QvH6668XX//6XiuRGLVrNS9Z1eNZKDuvhOoVSq/WUGugMKiBtfm+1ecXBtZcxHkVj9FZxN0yASZwzAgkrzgZ2V8+J7Z/daCCsbd+q/We7E2j9y+ujK1b+X/3onHHLvNe4UMvh7UxRgRqjZE33AT4CtaGHhQ+ellsWyROSTTFld6//B9mXyI0iT83DMbTIShN4ztPoXbTIzCBcfTE92b65zcjfe3pse279+xF9YuT0kC16qWuPQOpy06KPY4Cz5Q+Ge8uSwdk33A+ki+LF+T0vqp6GH/nt42QpZJ61ald9zFSHbKsikz8PkuySuqK3/W88p84BPfHz06qI9dkUfj4FfO2D3W8uZdRZBz0ff7VczrPy5/96bTxzqlBPpgJMAEmsEgIdLImloaHflAcPXSvAPZDYkhAHtBSHJRajkH6pYzoqaTTTsN1+/yrr14fbNu2TbNQnMWislVxFpC4ChNgAiueQFd3SBJ2b7y5FcnTOXU18u+LD7ASuXUSUAqQQ66GU4saqWHsD79pXna2rEf+j14cy7/4jtsQ7BuPfc8+oQA17kKN1wEN9H3h2o6RWMlNkdwVp5bc774AiRcfH9t+7es7Ubvh4dj3cr//QiReeFzse/Vbn0T1S/Huss5Zg8i/s7vLaflv7oYbM9ZOJyhx6PnwK2LfDp4eRfF9dxzRuT0X1964Dkff9DXoqgdrUy8KH3x5xzGZPY9SIPP6szvWKb7/dgS7xo5oXnwQE2ACTGAxE1iO1kTivSgtijQwEopsVVzMHwkeGxNY3AQs20Z/Xy/6+/qRTqeQTISulA3XQ61Wx8joCEZGxxD43a02i3uWMHvGyHrVqdT+cyc0pcloWrBISMQV9/u7oaqU0kIidUW81Y0se+6PQjdEcjt1zhiY3lSb1XEmdtbqLAp/9sqO1cb/5C74Ow9Oe7/nAy+DfVJ/7HGVL9yLxp2hZXRq6bn+UtjP64t9r/pPD6D+7SemvUcRPwsfvbyry6l3/36UPjXZGkmRZa1N8WOkTlJXnYrElvWxYyH3TPf+7qk1gmfHoBuTU3lYa3NhpNMOFlraN5r5lXMA89N3fCFLcGRZJhdjcm+lknjR8cj93gtiD9JugNE33mTWhNamU4lE50znxWJ8f6VcTxYjex4TE1jsBJarNZG4L1qhSINjq+Ji/2jw+JjA4iMgpcC6deuwfv062Nb0vXjtI/aDAHv37sO+ffug2vINLr5Zzc+IKNooRR09mkUdrGLszbfMqouZgsOM/cE3oZr7Jtsb7GTxpDqlP/0evB3Dsf33/fXVJv9iXKGcgpEoan8/+4bzkHxZfPRQqmdcTt91G9RouL8zKt1cc2cFZ4ZKZNklC++ksf72hUi+5ITYI8lFldJhdLP40YHj778D/q7paTO6RasNnh1H8T23IfHiE5D73Qtj+yc347Hf/fp8TH1B2+DryYLi5s6YwJIksFytibQYi14oslVxSX5meNBM4JgQSCQSOO20U5DLhjnfisVxHDx0COPjJbieZ15LOA56evJYvWoVCoUe81q5UsHOnY/DdUPL22IvJq9dX+c8fu3jb3cBJYsQWYaOZvG3H8D4R78f24VzxhqI1IR4d85ei+QrOogwpVH68x+hfUu/+8B+E1SmW+5IXfM6Ri6Nc6eNBhqXj9A5aw3y77y4K65O7rHdXHPnyl97AUZpr2hbsdb1oPCxV8RbC7XG+Hu+g9xbXwKKiNqp+I8dwniH9BXdXFppX2j5Mz9C+rozkH7NmbHNUz5Pyuu5lMpKuZ4spTXhsTKBxUZgOVsTifWiFoo0QLYqLraPBI+HCSxOAnRT9/yzzgQ91ut1PPnULiMQuxUSjCc9bxNSqZQRiQ89vGNJiEUKyJL51XNnXAgSTaO/9bVWvcKHLoW1cbrrpcnD54YuuMKxOqZVIBdDBCqs1yEqKrktUmCcuNL3+Ws6Bm+ZaTK67mP0N282rqPkQjqvRWkjvHRzblHbtA+yW5RT1ALUb38ydijkDpx5/fPndZhRY8GecRTfddvktqXoGMBGQyBx/jrQHs1upfwXP4b70z2xVbpFq6198zHU/uUhE4mWItLGlcYPd6PyuZ8dFR5Ho9GVdD05Gvy4TSawUgjEWxP94r5djy/ZSKfta7ckhCJbFVfKx43nyQSOjAC5h23efKaxJJZKJTyy8/FZ7z2kvUdnnHYK8vm8sSxu375j0buhUpRTinY6U/GfGTMpJaLS+/lXQ2amp71o3PoEKs0E7Nnf3ILkS+MTypM4IZFC++/6vnhd7F44EgwkHKYWmU+i96+ummnIHd+P5kLijYLZzGcJhqsovmV27rIUsZUsup0KBWdVB8rI/Pp5SF3a2WV1LuOPLHiH00bPtq2wT+6clkQdqmGMGHRwwe77y6sgCsnYLqOIuZTbknJcxhXKxUg5GZdCWWnXk6WwJjxGJrAYCSx3ayIxX/RCkQbJVsXF+PHgMTGBxUNgw4b1OOH444wl8cGHd8xaJEYzILF49llnGsvi7mefw549exfP5GJGkn/bS+Ccs3bGMZJ1iKxE5mKfS4D26MUVilhZvzUM5NLzvq2wO+Q5NFY3L4Bck0Pvp66IbYtcEEnITC0zBTqZaTLRXNLXnI70L2yeqfphve89PITSx34w4zGyP21SgnSyplID9dufQvXv70PPuy6GvXnNtDZJaM/GBVMkbVAqkbgSWfBmHHCzwmzYV//1IdT/c7rAN+dOykbf317TsTtyNSaX497PXmWCK8WV9nyMsx33saq30q4nx4oz98sEljqB5W5NNNf/pbBIHAF1KawSj5EJHBsCJPLOP+8cE7hm+45HZnQ37TRKckPdfOYZoAA39973wGGLzYWcfeETV4AiXM5U2lNF2Cf3o2dbfERKitoZDIVuuslLNsVbzLwA9TueMnUoH2OnNBPF93wHwbPFaUOjICvZ344PdDLTPOj9aC7WYA6iPzWbQ2ZdR4+5HdN5tDeSe/tLkDi7s0APDlYw/u7vgNxke//sVbH7AWdrDaSosoUPx6ejaM95GY3POXddR9fT5MtPgvP86aK1fW6Vv70HujJ5jy5lrvTu2YtuqTyojeKbvwVVbnQXk9d/F/4TI7Nek2NVcSVeT44Va+6XCSxlAivBmrhkhCINlK2KS/njxGNnAkePwMDAapx80vNM4Jodjzw6p47OPON0E+DmiSefwvDw9LQMc2p8Hg/OvHYztC1NsvpObqLUHd38N773tOk58XMnIPc7Ry7UZjv80TfeDN3c79h+DFmlKGl7e6EInHGC03t0GJW/nryfjXL5kQA7VoU4k1tut9KKuOpY6P/CNbGBZeq3PI7qlx807rN2jFVYj9bM/sPEBRuQ+8MXxXYXWfBab3bpby68IpfcxAs2IPcH8WOBrzDyhptgH9/TMS8kjWH0d77eStMylzEd7WNX4vXkaDPl9pnAciSwEqyJS04o8l7F5fhR4zkxgbkROO3UU9Hf32uC1xw4EJ8WYbY9rFkzYILbjIyMYedj8W54s21rIeo5Zw4g/+6Xduxq/MN3wX80FLwUjZKiUh7NosbqGPuD/+zYxdT9kbk3/xzs01dPq9/47lOo/evDrddp3x8F5ul5zyWQa8KItvNalMLYW2+lXyRjm5V95HJ6eddAPGRtrf6/+8zx1vp8mM8wplT//n4TAKfwkctgHR9G3W0v/iMHMf6Ru5D6H6ci80vxwXDG/ugWqEPV1mFHKxWH99ABlD7+faSvOh3pX4x391X7Shh7x7fRTUxSCpGxN00EVZrXtZvnxlby9WSeUXJzTGDZElgp1kRawCXhehqdaWxVXLafOZ4YEzhiAueeczbS6RTuu/9Bs0dxLoX2KJ537tmo1eq4/4EH59LUghybfNkmZN9wfse+SLSReKOSfdOFSF4Un2NvvgZLopTEaVyhtAzkjtm6ntd9YyGUvdPdSCmfoXP2YKtu8PQYiu+/A/1fvLZjRNa5zEENVzD2lm91bCL/9osmjWdqRcodWXz3bS2LZ+K8dci95edi2yt9/AfwHhpC3xeuhUhMz/NJFmCyBGd//XwkL900vQ0vwMgbb54kao9WKo76bU+i+o/3I/sbW5C8JD7AEbktlz71w65ikvIyUn7GpVBW8vVkKawPj5EJLAYCK8WauCSF4rGwKppfDrRoyepQXU/8Hf4loKEhqLII/4oOCI+P/qT3wkJNRse2qtATOn7icNMm/dBt2jE9RceHR9Er0fFh31SreUD0Azm93tYfjTUcX/N4EQ4xnFbUYtvHsfn65J8WWiRM2+Hx4dgNB0NkYsRR/1G/0YDMiOl4HfILEYQE20/SCQ7N2TY7jX7ZaT8+bDtsISIWHt9cI9MnmSnCvlvrR89CgOF/muDD0ciwvak/r7SODw8L5x4dTv3JSdha70enxZTjo/GYcyRa97a1j5qPjB+GWcS/2b+prptnYTSf5rq06jYBh6dsO+8mE8LTdk5Ec6f6SrWdj6Z/bYIlRus38ZlonlPN063VT9s5EvEI5zpxnpopNHmL1jq1rWqEuQnkJz+7ByoI2k7aw38qLQsvvHCLaYfaW+wl84vPR+qqU2OHSaksRt84kWvPPm11x0AjUQPp154Fa1383kfaf1f78kNdkVDS+U770KaKp2D3GGgfXlyhfXyJLetbb7n37UP1H+5H72cmhOZ8rk23YDbJi08E5RDsVqa6gqZeeTIy/+uc2EOM5dIN0PsXV8a+X7vhYbMfs2MwnL0lFN/57UnHdrM+zoVT9Z8eQP3bTxhLrn3GdMsvtV2/9UlUv9RdTDZ+/Bwqn/3JXIayYMfS55+uA/N5PTGD181rZNvtBH0fhde55neReZz46omudtHklaLva7q0h9/b4fHhvYepG10wtW69Z673pht6LWqpeZx5YeJ72rQXfS+2vmAmxhd+f4bf1abfSRb4sJ1WCb8QWu2b4bWOD2uF/bW+qpsjabbQOj7qf6LpCW7N11ocw79Nk21tN6cPIEzt0xp28zskxDAx/rZRt+YpWu9HvCdYNjE2599co+bKhv0179F0s/8pZ3O0Pq2X28bSug9ppxOtZ/v0w0k3wUar2oa3vc1J59j0dZnMwtzZtp0/0X3TxDkW3VdpM78QqnktGl90ZkTDa97YTJz34XHReRWegxOTaxGdss6Tzrjm+RWeAK2TfuI8Cz8C4d/ROd5asbC/aB3a79GmLFWreerDkoBlCdgJiURSoDQ89IPi6KF7BbAfEkMC8oCW4qDUcgzSL2VETyWddhqu2+dfffX6YNu2bVrQzdMiL1NveRf5cBdur2J4kZkQLeE51pQ9LZ0SicXwpIzEUbuhNrpxbp0J5qZchvUjsdl2Ez2hKJsirqVKortiPZGA2txUNxUCfXGYm/12kdomiloXrVAERqJ24gRozqWlfzv03+ohEnVtp1AkriLB3PzATj/JwleMQGldSCYLhPYPatjsdHUWHj9xSZ84prVAE6K1+VmMxMjk/tsElREkzQVpXvIigR6eA+2Cu+2CFAmcCWUVznGK6I1eaz3SuWBEfVNgtn3XR/KVzpfwghoe1Y5iOqfpY4zOi+hLpH0+E+dss7eW+ArvZsIfPiZ/s3bqv/0HgPC8bM6r+dNF6xusJXrb5zIhxCMNH4n16Us/8Xlrn8t83NhZUuIFL7hgyQhF2sNGe9niSvDsOIrvmZJrb4YrfO+fXwmK7BlXSKyVP/1fR/wdMTVaKSV37xRd1f2v3WZPZVTIFdX98XNd3WyPeGBtkUqntjEbl9O4vJHZ/30ekq+YnhqD8lWOvfFG2CetQv59l8QOufyXP4H7k+dQ+LNXwlo93c02bh2sgQxEf2ZSe/QZzL75xbHpUKKKJNYr//hAR3Rqbwmq1EDv/70SxCKuRGIy/8cvhXP6QGyd2s2Povbv2+eyRAt27Hw2eEZuAAAgAElEQVQKxeh6Yr472kRVeJ8f3ZlO/EhnJqlV6we6duXVuoluCcsmEiMAmvcTzXvh1g10SyFFN+HRd1skGsP7HHNTH4mHNkEZ3q83xWz03db8vtJRGpUp3w9mNM0bnta3c9ROdCPUJl7DOU8sb3T8VJERaVjz+22rj3bBHH3DtImMJpmWiG5+8UbCLuq4tTZNFhO/UreJa8OnTYi1r2drXm2Cw0yAjm/ecU3cVjRFSUsJhbwmJhwyb36HtvRu9KTFa0ImtYRm89Ynun8Nz7HWN290wjRfmxCA7R+u8JCmyIsOp3OsJa6ib/r2Hx4mFnHi+HCRo/vm6B6mKSPDnzZa6z4BgMZO/zN3Ru16sf2H/6boDcUofX4mC9TmMjf7iNNh4dgnjj88rbaSrIkRywW7AM9HRxwBdT4ochtMYPkQWMmuYoUPvwLWCYXYxWyPrmkCp5wRfxPffnCcG2j0PlkoKaBMt+I/MozyX/00tgoFQ6F9bFEhK55z1oR7aftB5H7ZHqSHcvA17ngK1sa+2LbJCkqBcbqVyhfubbnhTq2n9pcQ7C9PO3ymNCSUe7D4rm9PC7KTf8fFsVFG1YEKxt76LXSzUhbffzvU7nH0kZutnP4zWxQMZ6ZPcGLLBuT+qEMAmubBlc//DI0f7O7alEjY6KPAPB1K6RM/ALkKd/uRofw3d8P9/jMzDXlRvL+SryeLYgF4EExgEROIPNhWijWRlmLJWRRp0LxXcRF/inhoTGCBCRyV4BOjo9i58/EFnsnhd9f3d9dCJKfvc6OWKCce5caj0vupVx6dIDBThhzlEIybSeHjV0xya53qXhodQ+LLf3p0kuspibzGnbs6AkpcuAG5/9NdFI2+4UZoL3T9mk1JXHwicjO4nFLuRRK8U0vh068CWfmmllZwmF/YDLKwxhUK+iJ6kqAUKHElCoYz0xx6/viS2EBB7cdRgKDoV333x8+2gvG017GOL6DwkVd07K749ltNYJ2+L17Xsc74h+4EWZCXQlnJ15OlsD48RiZwLAmsNGsisV6yQvFY7FU8licn980EmEA8gZUazl4WUh0TshOpKNeesAR6v3Bdxxx783leUdoHsnhNLcYq9XevnuRC7v7oWSRefPx0MbVj2IhfShIfldInfwjvgf0dhzrTHr2ZorFObZgsqz0fu7yr2ya5w1a+GEY5bS/Ckp2tgbc/herf32dSY8TNXZddk0aCcjVSzsa40kmcThJ3G/tQ+NClh7W0kbVz6kG0VzT3Ry+Ob0tpjL7hJsi1ORQ+elnH/kZ//xvQxcZhjedYVV6p15NjxZv7ZQJLhcBKtCbS2ixJoUgDPxKrolJ2wXU1Ak+DNoXTvls1aTP2UjldeZxMgAlEBFZqgmzn1NUd97kRmyinHyWoL3wy3jo132cR7WGkPXRTC4m+ng+8rPUy5efTB8qwN09PAk8CzDln3aS9kuN//B34u4vIv+viWAuqXJ2NjZ4adUhus7QfL66U//wnUGO1SW/JdXnY6/Nd8XjbD8TmdSQ3WLKexpXqlx9C/ZbH0HP9pbCfN92N1n9yBOMf+C6SrzgJ2f99bmwbxbfcAuLXrWR/+0IkX3L4EW7Hfv8/oYqTIwd3E+FRnkXn/HXIvzk+yitFth39zZvn+1Q7au2t1OvJUQPKDTOBZUJgqjUxkaDgjX5x367H/wPAfiExpKCHbC2HFawRaYliYFllK+PUgx7PPS+X82+44Qa1FALYtC/ZkhaKc7UqGrHYinS0TM5kngYTWIEENmxYjxOOP86kx3jw4R0I/MNLzE43h2efdSYoPcbuZ5/Dnj17Fz3FmaJxRrn2yJpHFp+ZSvq60zsGxqEgLKX33x6FOOjYlNpfhnans09u3YTsGyfSeJDbqX1iLyhlxtRSveFhpH9+8yQL6NjvfQM0hr7PXT3TNA7r/Si4DD3OVOSqDKwN3cWj/+Qo7JP7QXsbY0XpZ34M9549Zh4im5hWhaystMeTIqZS5NRphZLbUyTbKJBITCdkDS185sojsiCX/+LHcH+6Z1Kr2Tech+TLpgfmoUpRtNjUq07puEeUBD4J/aVUVuL1ZCmtD4+VCSw0gTA6PCClWBGRTpeFUKRJzMaqCCXXCOi1ANau23TKz2thFzxXw/cVTCR9tiou9OeN+2MC806ALt6bN5+JXDaLUqmER3Y+PmuxSCLxjNNOQT6fR7lSwfbtO4zHwWIvmV/YjFSHfW6IybVH86FIonaM2HF3DCN91akdg8tQoJf6zY/AWjddKFVvehTUX7eS+dVzkbrspFaV+jd2moTy06MZA7QHL/NrE9Y0EnGjv/ZV44rabpWcj/UJhsoovu3WGZsid9L8By+F3SFwEDXgPzWK8eu/i+RlJyH7y9NTY9D+yOK7boNz1oDJkRhX/GfGUPrgXcj+2nlIXDzdIhglt+/K+rWbkXp1/P7HmSbauPUJVL40OQpq/t0vhXNmfCCkaE9q5tfOQ+rl8WKShCcJ0KVUVuL1ZCmtD4+VCSw0AbImUihWywJsW8KZYk3UEPsh1YHlZk0kzkvWohgJxcOyKhZ6zy0Mrn+p6yr4JBYDbX6lZqviQn/kuD8mMP8EEokEnn/WmaBHsiw++dQujI+XunbU05PHSc/bZCyJruvioYd3mMelUHK/9wIkXjR9jx+NPYjJtWcsTZ9+FYQT5gONCl0Di+/4tnHrjAvAQvUoqmXw9GisABn/k7vg7zzYnfOUwCrVf98OErpxhSJktgeRoUApZB0lkZv7nQvndWncB/ej/Ikfzthm+rozkH7NmZ3reQGK77sDwZ5xJC/dBAquM6kooPbVHbBPXY3M65/ftT9KDVL9l4dDC6w9+Sva3zUGyrPYqQjHMqksRG66tXLGSdJ58/SomUd76f3MlZCrOqTGaLrSdorySu3UvrETtX/rPObZjOtY1Flp15NjwZj7ZAJLgUBkTaT9/rbJmyiQSEgUh/Z+r1Qcu3+55U2cuiZLWijSZDpZFXXg9QiIVYHQq7USg8aqKDC49sTnXQMrudpYFT2NgFyO2Kq4FD6rPEYmMCMBurk77bRTjGWRSrE4joOHDhnB6HphaoeE44AE4upVq1Ao9JjXyJJIUU6XikikMVOwkk7pImifICU4p4iV/hMjZo605432vk0tlIqi+sX7OgZgofr1256Ed/8+5N9+0bTjq1/ZjvrXHu26Nr2ff/WkwDDVLz2IzC/Hp7Mof/anIBEcFf8JstTdAefsQThb1k/rR/YkO7rMRpXJpVPVpqf28HceAgmzboWsiPkPvryrK2ft37aj9o3uDGYUm22DqPzDfWh856kZz/epFUikdrJWzqoxCk7zpq9N7L10LPRTaoxpyUzD1kqf+RG8e/ai99OvhByYnvOR6lT+7h407np6Vt0vtkor6Xqy2NjzeJjAYiEwYU0UsB1hrIkIGgf3P/PUzdAYImuikHrI0uKghj4kLGd8OexNjPgvC6E41apYE5UMAj8fwOoTKlgFJdZoYFALrE1lMqevPu7Ey7y6lr6n4PsU2CZMvMlxbRbLx5LHwQSOnAC5ja1btw7r16+DTX4iXYofBNi7dx/27du3JNxN26cyVXy1v0fRM5G0jbgr/98fg/bX9X7icsCZzIOsiePkeumIjgFYzM3+lx6Ae9fT6Pv8q6fl9iNrI+XS61RM3595Vett3QhQ+4/tsXvaKDpp7cYdk8ROez7IuD5IPOY7ReVsHjD6GzeB+j3cQi6nPR98GawTejseGrmcdts32HHPYadWfQVjqX0yFPmzLYWPXx7rHhwdT5ZmEtbdLI7tUVWtDT1do5mSKy3tS+2U85H6Hf/IXfAf6W5xnu38jkW9lXI9ORZsuU8msNgJhNZEASnJ5ZSEooSTEurgc8/cVq9WHxUa+wUwBKkPaGkdshCMwrJLaZ2tptNOw3X7/KuvXh9s27ZNL7UgNtHaLHmhSBNptyomd+ecRqKctrXOKq9RCCD7hVADWos1EliroQYHjt/4KtvJbGi3KkaBbRb7ScvjYwJMYHYEaO9hf18v+vv6kU6nkEw45sCG66FWq2NkdAQjo2Oz3ss4u14Xphbd6Pf99cyBXaJcimRlImvT1BKleCBrXZy1MKpf+tR/GdEZZ8U0US3f9LWOAVYS561D7i0TETFJ/AS7RmOtm/6jB+HtODDJzZOsmdV/vL8j2PSVpyL9Pzu7cx5uaoz2jsjdlCyBHUuby2lsHSGQfcP5SG7dGPu2GqlNiu7aXolcbsffdwdUaXZpJWZaQ2qbUqY4564DrUmnUrvxEeMmS6VbNFN636TGWJXumPOR6oz9n29CjU6OKrswn5L57WU5X0/mlxS3xgSWD4FJAWya1kTfq+4ZfvbpWwTkkKJop0If0FoOW1Aj0kkWfSEqSTdXa5xQ9pZqpNP2FVw2QrGTVVEBvUJjlTZWRTUIiEHLsY8fPOGkV/u+TBj3U7IqNvcqcrqM5fMB55kwgeVKgCJr9mybSDfRaZ4kDMjiV/jkK6e7TvoKY28Lk6WnLj8ZmV+ZHoAlanfsHd8GBVIhd9HUFadM6674/tsR7IpPP0EBd9r3Izbu2GWinZKwmSZcv/c0EGgkXzYhamlPXu3rOzsupRFibfWnVvQeHUbpw9877FNhNi6nFKG13mFstJ8l+6YLY/Ml0mBIMJc+8UP0/MmlsFbHu216Dx0IrbWzcHfJv/OijsGIqD+yMpNoS15xEjK/2FlYezuGTWoVKt2imZL4o/a65XzUXmDEJBcmwASYwFIjYNJhUAwbS8Ay1kQB21bu0O4nvxZ4/rOAHiKxKMiaKHBIAmPLzZpIa7YshKL5EtRavO51r5P3lcs2WRW9VD0lAy+nfa8ngOiH1qsBRUm7yAV1sNC3+sJc/5rzvYaCR0LRuKByYJul9kHm8TKBlUhgtoFdSh/7vgl4k7xkukWL9sDRXjgqmV8+F6krpu9fNG9qjRG62fcVOiVfr/7zA6h/64nYpcj9wYuQeMFEcBfqM/2qUyHXTBdHJAop4ItzLgWqDkv9G4/Bfv70fIvR+9ZADiJjdzwNVNWDGq50fL/y+bsRPFuc9H7ocnoprG5RTinn4QfvjLekOhZyf/DCjpY7iiJb+uCdxlqYvOhEZN90Qcfx1W561Ljqdiv2cT3o+dPOCe8Nx689CtpPap+yCj3v39qxOXLRHXvTzSbQW7dopiYQXLkB4dgd+fvPjWP83betxI8oz5kJMIElTKA9HYa0BRz6l5Qojxy4tzh68GdCYwjkcgp5AEIctKBHhO2MK8spO/VUfblYE5edUJxqVWxYtbT2/bzyda8RiyQUhVgjlRrUQgwOnrDpSmGlVoXpMkKrYhQWfxY/4C7hjwAPnQkwgaVMYCaXSErF4D1yAPUbH0X+vZdMsyaaVA1v/VbLJZDy/jnnTIizdjbqYBVjb77FvCTzSfT+1VXT0HXbR9j78ctBCeyjQta93Lsujg0OU/7Ln5jIqu1pKCgQSpzQna/1oxyNanyyeyflcUxf2yXFBLmcvvd2E112ahFJyySftzfHi1tdbJjgPJSs3hQh0PORV4DEXqdS+uQP4T2wv+P72d/Y0pWRiWz7R7dAjdUAW6Lvb66ZFv22vfHxbXeYdB8zWSlnWoOZ9pfOdDy/zwSYABNYaAJR7C7an0zWRNqbSAFstHIPDj3z5C1C6yEl5RC0PkBCkUSitMWYsO1SMkjXlsvexIj7srEo0oQiq+KOHaCIDQmyKlqqkkVg533t94cuqKFYpOA2jp04cfWJmy5Xvkx4JgKqggoAzVFQF/pzyf0xASZwGATIpTF50eQ8e2Q1IzHh3r8f/o5hkNtf7rcujM3HV7/1SVS/NLHvb6qYax+Kv/0Axj/6/dZLhY9dDmv95HyKquRi7He/Pl00kWXuQy83+aeiUv7c3WavY1wZf+/tJtm86JlI70ApIabO9TBQda2qq7S/8uZJdewTe5G//tKuUU6r//aQsXROLTLjIPf2l8A+eVVsv7Sfc/zD3zNpKNrL1H2cUw/WFRfj770DwcHpllEKTlP4zJVdhV/jh7tR+dzPWs32vPcS2Ket7sgmshBTOpVOKVNmswa1bz6G2r88NJuqXIcJMAEmsCgIGJdTSS6nlDdRwnEEpK3cg8/s+rbnu8+Y4DVaHxBSGpdTW9gjsPxSILMVsiYCcM88E8ENN9yglmoAm/aFWHZCkayKd95JtyVP26XSc8l6PZGuI8hBugWpZT+0GoDQAxpiEBprMvme0wuDG17sN7Qkq6LZr6hIdZJH0eJPur0oPlU8CCbABBaUQM+2rSBB4z16KBSHD+43ewgnXdwTNjK/fl6s4Kn+84NQRfo+Cy1a/V+81lia4grtKaS9jlFJvfwk2KdNF0LVf3pgVoFXuu1pG/3NmydSMzQ7jBPF8wXbRCzd1pY30JYofPDlsI7vbN0z6To+9N1pLqck2HLvvHiSNbR9nGTVK3/qh/AeIo+l6aXnfVthnxovMKm2yXH4wbsAb3L01tmk3TA5HtvEafoXz0L6qtM6YnTv3oPKX/60azTT2awBnTd0/nBhAkyACSwFAiYVBu1LlAj3JdK/pFDFoT0/qpbGH4XAAQE9BC2GIeSwEmoEKlFMwSqnUm4tnz+uAWz0t26FWsqRTpetUKSJtVsVLavouKkg5VWtjNBBXgttAtuQUKSUGRB6DQTWFFatOT+TX3WGsSqSWGy6oJJOZK24FD7aPEYmsLII2GesRvDkGLTrz3niImUj1UU0+A8fAAWEma9in9SPxIuPm9YcucPGJWanyJuyPz7h+1zHpA5UTLCfqNib+pB4yfFdm63fvmuaKKcDKE2HtS7X8dhgd3FSX1MrUs5L55zpAX7a63kPHkCwe3LQoNTVp0EWkh37VePutDyX9CND4uLJFun2BshCTHtY09d1cb+dBfzGd59GsGd8FjW5ChNgAkzg2BJo35doNQPYkDWxWjr0SPHQgXuhcQBaHKBUGCQUyZootBjTwio5maCaqFv1ICh4y8maSCuyrCyKkVBstyo+VxtKZGpBqgFkVaALCqpPIBKLoRsqNAZWHXfCxU4iu5b2K5JQNJZFMihyfsVj+8nl3pkAE2ACTIAJMAEmwASYwFEiYPYlUr5EEVoSSSjSvkTPrew/9Nzu70Ng2OxJlDIUiaAop3JUWqKYBCrVtFU/Lj3oLjdr4rIUipFYpAioTz3VJ4F9juuqpGu7aaFUTvkgsdhPYlGDRKImV9Q10GJgcOPJl0I4ec9VoVUxaHoXsVg8Sh9NbpYJMAEmwASYABNgAkyACRwbAu0iMdyXSCJRAtorDT39xB0QethYEoUYFtAHmiJxRNooainLCT9RSyRkA1jnPe95o2q57E2MVmPZWRTbrYrbt28X7eky7Fot4zpBXgeiIFspM0gk6gElxIDjJDasPn7TS01wG58C25B1kYLbhHsV2Q312HyIuVcmwASYABNgAkyACTABJjCfBKIIp0KSFTHMmejYMgxe8+yu73meu0dqPUwiETBi8aCiVBiWLiY8q+Sn09X2dBibN2/Wy2Vv4rIWiu1i8etf32vl865FLqipipv2pJXRgdejJHqlFv1BaFEcgJYDQujVqVzPKX0DG7b4PqzAVwh8IKD8iiwW5/OzyW0xASbABJgAE2ACTIAJMIFjQmCSSCShaJPbqYRtIxgd3nNPvTz+uNbiIIQii+KwJcSwEnpEKowJyxl3VFCtZxM1cjktlRLB1VevD5abSKSFWZYWxeiMaw9sk0rVbXJB9RN+CoHKuYHfYwn0KoVV0FgduqCKAQCrU7n8yb0Dx50T+NoOg9uwWDwmn2LulAkwASbABJgAE2ACTIAJzCOBaSKRXE5pb6It/LHh5x6ol0tPADiIyJoocFBKHAo0xhKWPQ5Llm3XrpPLab2e8pdbAJt21MteKEaBbZ5L/8RK7s45QXYk6dcTaamDHJTfo6CbwW2wWpFY1FgtIFalMvlNvYMbzg0CTBaLHOBmHj+q3BQTYAJMgAkwASbABJgAE1gYAtGeRHq0mi6nYQAb+GNDe+6vV0u7NPQhkDgkl1ONg+G+RDEKaY8rYZXtlFuzKv2Nxgll77jaC4PllA5j6iosa6FIkyWrYnsU1H3eiBNUvZSDRsZTOkf7FS2he5UWq6D1ahKKWpBYxKpEOndc35r15yslHRMJlQPcLMynmHthAkyACTABJsAEmAATYALzSCAucA0Fr5FSeaMH9t7r1srPkSgUGgdJKNKeRCn0oUCLMdqX6EhR9pCsWhmnvs7p95ZjlNMVKRRp0lEU1ERi1Hbd0USjoVO0X1FolVMBCkqEaTOUVquEwGpArNLAKieZWt+/9oTztZYJn1Jm+ICiPYvNSKgc4GYeP8HcFBNgAkyACTABJsAEmAATmGcCUZ5EQWkwpIC0AdsWEEK5I/t33+s16nsFcAjQh7Qma6I8ZCyJmtJgoKiFLNO+xGRS1BOJPtd1+/woyikNVQgRRr5cZmXZWxRpvSKrIkVB3bEDFu1XDAIr4XluqiHqWal1TktR0OSGGoh+SL1ak4URilJo9DtOcu2qdSds0bCTPgW4aUZCVYoap/+TcFxmZwZPhwkwASbABJgAE2ACTIAJLGECRiBSSBYBSAlEEU5tW0LAbxzat/sez2vsF9AjgDwkhD4EJQ5qS48IiFGhdFEJUU7qVMVxEnXLCtxoX+JyjHI6dalXhFBsF4t33glJ+xUzewJbaydBwW3cOrLCDvIIUNBC9wrdzLNoxKLuB9BvO4mB3sEN51l2Ku95GrrpikoC0QRE5VyLS/gywkNnAkyACTABJsAEmAATWE4E2l1NzZ5ES0BQCgxHIPDrpbGhPff5njsMYAQQIyQSyYqohRwRWoyBLIm+VUqkUKHgNUJ4bnWD5S/3fYnt58CKEYpxYpGC2wDjCT+hUlIj66kgDyV7JFRfFORGa91PVkWh0Qehewur1p2R7OldrzxIs2dRaSiyMJJi1AKKTYvL6RrDc2ECTIAJMAEmwASYABNYYgSkMSVqcgmFpByJJnCNgHSgGuNje4uH9j0CLca0wChZE4UQI1HQGgU5CqnGHWmVlCCRKOtAj7sSgtesWItiNPHIDTXKrzg8XLEpEqpq6JQlrEwkFsmyKAPdp6D6hRSrtNJ9Qog+QBdSqdz6njXrT9OwkpRnMRSLlGuRrIuhDyrrxSV2ReHhMgEmwASYABNgAkyACSxpAlHqCxKKQgLSBKsJ8yQKBI3xA3t31uvlvYAoaq1HhRSjWulDEnJEWWLUWBKbIjHQQVUmRZ0inA4MZP3lnC+x06KvKItiZFWkxyi4TT7vWhQJVXiVxFSxCBEUhBJ9tHdRQ/cLiD4I9GqNXqlloXfdhjMTqVw/Bbkh66IOokA3vHdxSV9lePBMgAkwASbABJgAE2ACS4ZA+15Eek7iUFB+REuYoDVuvTwytm/PDiVUUQiMQWNMQ48KcjmFGNVSj0JbxakiUTtZlyKckkhcCcFrVrxFcdZiUeucUCqvFUyQG0kCUek+LSRZFXuF1gUtRE+2p+/EfN/giUrBpiA3kXUx2rdI7qgc7GbJXGd4oEyACTABJsAEmAATYAJLhMCEQNQUehSSRGJkRTQup/BLo0PPVMZHnxFaj2shioAYE1oZa6LSGDNBaySKWsqSI0Q5siSudJFIp8CKsyhG5z25oHayLGpPJn1XZiy4WWgrr2VQgCbBiF4tdJ9U9IheaFGA0HlpJ/oLqwZPSaRzvYEPQW6oQdMNldxRjR8qC8YlcsnhYTIBJsAEmAATYAJMgAksZgJTBaJxMxUCVtPd1LKh3Vp5rHho6HHluyPQogShi0JjTEmMCS1GBTAGgaJQVhEiKAVIVOyEqgpHNVgkhqu/YoViJ8si7VmMAtwEXpC2hcx4WuWF1nkIFIzbqRGMJBRRgNY9EKIH0PlEJrcm37dmk2WlMkFz36KxMJJObArGaO8i72FczJcfHhsTYAJMgAkwASbABJjAYiMQ7UGMIpqGAjF0NSVLoiUFgqBeLY0e2OVWywcAUYLW4xBi3IhCEorAWNP9tKiFKDlClnytqpZj1aLANdGexJXobtq+5itaKHYTi1JWHaV00rf8dCC8jNDICbIu6qAHWvSQdRFaFSBEAUAPNHrIuqg1splc/7psb/8GYTtpExG1aWGkyKihYATogVJzslvqYrsE8XiYABNgAkyACTABJsAEFguByHpIvoCyaeYigUgRTcmCSCkvKLKp9r1aZWxkT7U8sk8IVEIrIsYBjEPrIoQshlZEPS6ENa5FUNICZUs7VTuwa1KKhlIZj0XixMqveKE4VSwOD28WUZ5FKTOO75eSgaNTgW+nA3hZARKMMq9VUICUPVAoQOpQKAI9GjpHdTREJpstrEn39m8gCyNZFsnKSAqRIqOaPYwxojEcz2L5aPI4mAATYAJMgAkwASbABJjAwhFoWQ0haOdWSxzSE2M9NNFqYKyHZEkkC2JtbGRPpVI8IKCrGigLiLIRiCQUlRiHRBFKjQtpFbVQJapjwalYtl+zPFG37XxDqaoX5UkcGNiub7jhBrpTJ0G6Yu/MWSg2z/toz+L1118v7rwTksRi4YBtATWnqJwEAiQd6acDz88EQmSNKypkHkIZC6OAzpMbqpIiLzTy0Mhq6CyESCdS2d5cT/86J5UpaC0s2r9ISlGp0KLYEo3RdsamWhT0ASHzI4vHhbs6cU9MgAkwASbABJgAE2ACC0Jgkiike15Ka2HEWbP7pjikVyWZEynVhbEm6sCrV4vl8ZF9br0yBq1rAqICgYoWKEmlS+Ruqsn1VOhxaDkOqBK5mlpaVyzHrnrKrsFCoyA9F0h7xTV+cFzthcHWrVDbtm0zN+ArWSSa+S/IWbBEOpkqFoeHt8ueHlgjsmFT+gwKcoNAJMkVVfoyo4TIgvYvhiIxr6QM9zIC9C8HIEuCEQJprXVaSJHO5letTWZzfVYyndYBJIlFMiEa0UinpJzhRe4AAAqiSURBVDE66tAtNfr9wrioGrlI70wyOYYfJy5MgAkwASbABJgAE2ACTGBxEogMH2Z0RgzSnW3zLrZ5K0viMLQgCqNQwjQXYX16FBZU0KjVGpXyaKV0aL9WuiaEqEGjRgIRMP/IkmgEoVSKxGIpFIuyJLWuKFtVydUUlm5EQWv6VdIfH0cwMLBZsUicfP6wyoj5PJFgJMvi9u3bxVNP9UnKtUhBbmjfotb1hFIiqRydUr5Kk3VRQmQFdC7QOm9cU4Gcaj5qICsEslojDRKLAikAKSHtVDpfGEilc722k05pCNsER6V9jFHwm9DwGKnE8D364LQZwNlNdXFeEHlUTIAJMAEmwASYABNgAiGBloWQbmub97K0xzB8M3QpNU+NtTDcfxjuTdS+79Xq9Vp5rFYqDmvl1wHUtUYdQtSEQE1rVARQIXdSCZTp0biWhiKxrKArZEWUtqxJT9Sl1A0hUu7U/YibN2/WZElc6VbE9nOWhWKHT3C7WIz2LZIratH2benbCaHqCWNdDIK0liptCZkJApg9jBJBNhSKIktCEcbyqDMaoKA4aTTFIoAkoBMacBKpXD6ZyvYmkqmsdBJJIR0bWotQPIaDDB9D82LrabSCK9Z7mi/BTIAJMAEmwASYABNgAouSQCQAQwNi6AfX/E97BNNmFFOtlecrz224jXqlUa+MufVySQAeIFwADRKJ0KhrgZoAqhCiCq2bQlFXSCgqWEY0WhYqgVZVoWTNsqwaWRG1TLnK9t2Cb/uRqyntR2SRGH/2sFDs8qnq5Io6Pg6LrItCeE5FIQktkglLp4LAzyip0xLIKiUzRjAKSQKR9jRmAJExLqgCabIqQiMFEYlFkYDWjgAcLWALIZ1kMptzUsmMZSUSwrYcIW1bSssWFN5JhFt6zWfO/CTDSnFRXiB5UEyACTABJsAEmAATWLEEzJYpY/cwfnIUmkMHWqnA18r3tR94QeC6Xr1RbTQqZVKKQsPXJA6F8AS0a0SiRgMCkTUxdDmlwDVCVMmaKLWqkkCUkh5RkUrULMuuuoGoQ+hGVqKhteORFbGnBwG7ms7uhGShOAtOU11Ri2uelZF10dauY1WSjkrUk1qJpA6Q0lqnQsEYCkMNmdFaZaTQaa1kGvQIpKVASmkSiuZfQgAJY2HUsAE4FPWXngshLGgtIYTU0FJoMsxrEottXt3mE8jrOYv15CpMgAkwASbABJgAE2ACR5fAhBWj6RtnNioK8pdTAkJBawUhlNY6EAK+1ggAePScxKEGyIpoLIlSoKE06gKoQYuakKqm6FHIqoCqknBU0FUSiEKIurBQF1I3pJtqBNmG54uEF1kRCweOV5Qfka2IM68/C4uZGZkaU62LpdJeQXsXR0b2Wo6j7BLSjgXXgfISJBhB+xiVTmmp09pYDulRp6QmoWjEZNpYFKVIQqskIIxYpH8a2hFCOAgFI7mgWiDRSJ7bWkshSCiaqDbkmtrc7juxJ3iWU+JqTIAJMAEmwASYABNgAkzg6BBoRbD57+AfJnqNibJB9kUjEAVlFydxKAQJRB9GLGpPQHhNgegCugEhG1D0iHozeE1dCWUEoRGN9LoSlAexDtp/KHUD0nEDJLw8ap7nSb+/f31QKiWCfH695oA1s19uFoqzZzVJLFKgG9q7GEVGJXdUx/HsqhXYkWCEthIkGF3tGfdU+mdJHbqcapHUoOcqSWJRQSQEdAIQLauigHaMUISwNGAJgASj1DpMI0N7GI33qRGLYWGr4mEsKFdlAkyACTABJsAEmAATmHcCk/ZE0Z0qJREXJvSGEsIE+Kd4jYEAWRG1EYoaomVNBLSrIVxJrqdGJMqGQOhGSoIxUNFz3UgIp0ECESJwI4GYCSzf8xy/3c20fS8iTZiD1sy87CwUZ2Y0rUa7dTFOMKZSoxZZGJ16YNeF7wj4CQGZEDpIADJBIlEIldASSUXiMCBxqEwdelRCOiQShYCtVeh6SvsWNVkTNYlFbfYnhjFQISQZ8Snj6NRCQpILE2ACTIAJMAEmwASYABM42gRiEtMLpbQKX6c9U819ikJpgUCQVZH2I5LrqTSup0YsSq08QLoayqVHWNqVEK5QtM9QukYsQrlaWKa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",Co="data:image/png;base64,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",xo="data:image/png;base64,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",zs="data:image/png;base64,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",Zh="data:image/png;base64,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