From ad97a81d94fcb1ac275d62e3d8f43f9151bccad7 Mon Sep 17 00:00:00 2001 From: autosubmit Date: Thu, 16 Oct 2025 18:23:19 +0800 Subject: [PATCH] Auto Submit --- 7546.e937d0c9.async.js | 133 -- 8305.abd36859.async.js | 133 ++ ...ts__ShixunDetail__index.45bb6e83.chunk.css | 1 + ...uts__ShixunDetail__index.48103acb.async.js | 99 ++ ...uts__ShixunDetail__index.a05d04ce.async.js | 95 -- ...ts__ShixunDetail__index.ef4b6869.chunk.css | 1 - ...Detail__Settings__index.75e8b8c9.chunk.css | 2 +- ..._Detail__Settings__index.f812e3ff.async.js | 1129 +++++++++++++++++ ..._Detail__Settings__index.ff4f48d6.async.js | 1129 ----------------- ... p__Shixuns__Edit__index.b37e0139.async.js | 352 ++--- ...bilityMap__Detail__index.6cbb46f9.async.js | 2 +- ...owledgegraph__Detail__id.826412b7.async.js | 2 +- umi.e4518754.js => umi.c46ae632.js | 4 +- 13 files changed, 1543 insertions(+), 1539 deletions(-) delete mode 100644 7546.e937d0c9.async.js create mode 100644 8305.abd36859.async.js create mode 100644 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r=1/e[0],i=1/e[1],a=1/e[2],s=t[0]*r,o=t[1]*i,l=t[2]*a,c=t[4]*r,u=t[5]*i,h=t[6]*a,d=t[8]*r,f=t[9]*i,v=t[10]*a,g=s+u+v,p=0;return g>0?(p=Math.sqrt(g+1)*2,n[3]=.25*p,n[0]=(h-f)/p,n[1]=(d-l)/p,n[2]=(o-c)/p):s>u&&s>v?(p=Math.sqrt(1+s-u-v)*2,n[3]=(h-f)/p,n[0]=.25*p,n[1]=(o+c)/p,n[2]=(d+l)/p):u>v?(p=Math.sqrt(1+u-s-v)*2,n[3]=(d-l)/p,n[0]=(o+c)/p,n[1]=.25*p,n[2]=(h+f)/p):(p=Math.sqrt(1+v-s-u)*2,n[3]=(o-c)/p,n[0]=(d+l)/p,n[1]=(h+f)/p,n[2]=.25*p),n}function yd(n,t,e,r){t[0]=r[12],t[1]=r[13],t[2]=r[14];var i=r[0],a=r[1],s=r[2],o=r[4],l=r[5],c=r[6],u=r[8],h=r[9],d=r[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,E=o*f,O=l*v,P=c*g,L=u*f,F=h*v,I=d*g,V=p+O+I,Y=0;return V>0?(Y=Math.sqrt(V+1)*2,n[3]=.25*Y,n[0]=(P-F)/Y,n[1]=(L-b)/Y,n[2]=(y-E)/Y):p>O&&p>I?(Y=Math.sqrt(1+p-O-I)*2,n[3]=(P-F)/Y,n[0]=.25*Y,n[1]=(y+E)/Y,n[2]=(L+b)/Y):O>I?(Y=Math.sqrt(1+O-p-I)*2,n[3]=(L-b)/Y,n[0]=(y+E)/Y,n[1]=.25*Y,n[2]=(P+F)/Y):(Y=Math.sqrt(1+I-p-O)*2,n[3]=(y-E)/Y,n[0]=(L+b)/Y,n[1]=(P+F)/Y,n[2]=.25*Y),n}function bd(n,t,e,r){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,E=o*u,O=r[0],P=r[1],L=r[2];return n[0]=(1-(v+p))*O,n[1]=(d+E)*O,n[2]=(f-b)*O,n[3]=0,n[4]=(d-E)*P,n[5]=(1-(h+p))*P,n[6]=(g+y)*P,n[7]=0,n[8]=(f+b)*L,n[9]=(g-y)*L,n[10]=(1-(h+v))*L,n[11]=0,n[12]=e[0],n[13]=e[1],n[14]=e[2],n[15]=1,n}function hs(n,t,e,r,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,E=l*u,O=l*h,P=r[0],L=r[1],F=r[2],I=i[0],V=i[1],Y=i[2],J=(1-(g+y))*P,$=(f+O)*P,ot=(v-E)*P,ct=(f-O)*L,ft=(1-(d+y))*L,Nt=(p+b)*L,Ot=(v+E)*F,mt=(p-b)*F,yt=(1-(d+g))*F;return n[0]=J,n[1]=$,n[2]=ot,n[3]=0,n[4]=ct,n[5]=ft,n[6]=Nt,n[7]=0,n[8]=Ot,n[9]=mt,n[10]=yt,n[11]=0,n[12]=e[0]+I-(J*I+ct*V+Ot*Y),n[13]=e[1]+V-($*I+ft*V+mt*Y),n[14]=e[2]+Y-(ot*I+Nt*V+yt*Y),n[15]=1,n}function Wo(n,t){var e=t[0],r=t[1],i=t[2],a=t[3],s=e+e,o=r+r,l=i+i,c=e*s,u=r*s,h=r*o,d=i*s,f=i*o,v=i*l,g=a*s,p=a*o,y=a*l;return n[0]=1-h-v,n[1]=u+y,n[2]=d-p,n[3]=0,n[4]=u-y,n[5]=1-c-v,n[6]=f+g,n[7]=0,n[8]=d+p,n[9]=f-g,n[10]=1-c-h,n[11]=0,n[12]=0,n[13]=0,n[14]=0,n[15]=1,n}function xd(n,t,e,r,i,a,s){var o=1/(e-t),l=1/(i-r),c=1/(a-s);return n[0]=a*2*o,n[1]=0,n[2]=0,n[3]=0,n[4]=0,n[5]=a*2*l,n[6]=0,n[7]=0,n[8]=(e+t)*o,n[9]=(i+r)*l,n[10]=(s+a)*c,n[11]=-1,n[12]=0,n[13]=0,n[14]=s*a*2*c,n[15]=0,n}function Kl(n,t,e,r,i){var a=1/Math.tan(t/2);if(n[0]=a/e,n[1]=0,n[2]=0,n[3]=0,n[4]=0,n[5]=a,n[6]=0,n[7]=0,n[8]=0,n[9]=0,n[11]=-1,n[12]=0,n[13]=0,n[15]=0,i!=null&&i!==1/0){var s=1/(r-i);n[10]=(i+r)*s,n[14]=2*i*r*s}else n[10]=-1,n[14]=-2*r;return n}var Ed=Kl;function sw(n,t,e,r,i){var a=1/Math.tan(t/2);if(n[0]=a/e,n[1]=0,n[2]=0,n[3]=0,n[4]=0,n[5]=a,n[6]=0,n[7]=0,n[8]=0,n[9]=0,n[11]=-1,n[12]=0,n[13]=0,n[15]=0,i!=null&&i!==1/0){var s=1/(r-i);n[10]=i*s,n[14]=i*r*s}else n[10]=-1,n[14]=-r;return n}function ow(n,t,e,r){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 n[0]=l,n[1]=0,n[2]=0,n[3]=0,n[4]=0,n[5]=c,n[6]=0,n[7]=0,n[8]=-((s-o)*l*.5),n[9]=(i-a)*c*.5,n[10]=r/(e-r),n[11]=-1,n[12]=0,n[13]=0,n[14]=r*e/(e-r),n[15]=0,n}function rg(n,t,e,r,i,a,s){var o=1/(t-e),l=1/(r-i),c=1/(a-s);return n[0]=-2*o,n[1]=0,n[2]=0,n[3]=0,n[4]=0,n[5]=-2*l,n[6]=0,n[7]=0,n[8]=0,n[9]=0,n[10]=2*c,n[11]=0,n[12]=(t+e)*o,n[13]=(i+r)*l,n[14]=(s+a)*c,n[15]=1,n}var ig=rg;function ag(n,t,e,r,i,a,s){var o=1/(t-e),l=1/(r-i),c=1/(a-s);return n[0]=-2*o,n[1]=0,n[2]=0,n[3]=0,n[4]=0,n[5]=-2*l,n[6]=0,n[7]=0,n[8]=0,n[9]=0,n[10]=c,n[11]=0,n[12]=(t+e)*o,n[13]=(i+r)*l,n[14]=a*c,n[15]=1,n}function sg(n,t,e,r){var i,a,s,o,l,c,u,h,d,f,v=t[0],g=t[1],p=t[2],y=r[0],b=r[1],E=r[2],O=e[0],P=e[1],L=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),n[0]=v,n[1]=g,n[2]=p,n[3]=0,n[4]=h*p-d*g,n[5]=d*v-u*p,n[6]=u*g-h*v,n[7]=0,n[8]=u,n[9]=h,n[10]=d,n[11]=0,n[12]=i,n[13]=a,n[14]=s,n[15]=1,n}function cw(n){return"mat4("+n[0]+", "+n[1]+", "+n[2]+", "+n[3]+", "+n[4]+", "+n[5]+", "+n[6]+", "+n[7]+", "+n[8]+", "+n[9]+", "+n[10]+", "+n[11]+", "+n[12]+", "+n[13]+", "+n[14]+", "+n[15]+")"}function uw(n){return Math.sqrt(n[0]*n[0]+n[1]*n[1]+n[2]*n[2]+n[3]*n[3]+n[4]*n[4]+n[5]*n[5]+n[6]*n[6]+n[7]*n[7]+n[8]*n[8]+n[9]*n[9]+n[10]*n[10]+n[11]*n[11]+n[12]*n[12]+n[13]*n[13]+n[14]*n[14]+n[15]*n[15])}function hw(n,t,e){return n[0]=t[0]+e[0],n[1]=t[1]+e[1],n[2]=t[2]+e[2],n[3]=t[3]+e[3],n[4]=t[4]+e[4],n[5]=t[5]+e[5],n[6]=t[6]+e[6],n[7]=t[7]+e[7],n[8]=t[8]+e[8],n[9]=t[9]+e[9],n[10]=t[10]+e[10],n[11]=t[11]+e[11],n[12]=t[12]+e[12],n[13]=t[13]+e[13],n[14]=t[14]+e[14],n[15]=t[15]+e[15],n}function og(n,t,e){return n[0]=t[0]-e[0],n[1]=t[1]-e[1],n[2]=t[2]-e[2],n[3]=t[3]-e[3],n[4]=t[4]-e[4],n[5]=t[5]-e[5],n[6]=t[6]-e[6],n[7]=t[7]-e[7],n[8]=t[8]-e[8],n[9]=t[9]-e[9],n[10]=t[10]-e[10],n[11]=t[11]-e[11],n[12]=t[12]-e[12],n[13]=t[13]-e[13],n[14]=t[14]-e[14],n[15]=t[15]-e[15],n}function dw(n,t,e){return n[0]=t[0]*e,n[1]=t[1]*e,n[2]=t[2]*e,n[3]=t[3]*e,n[4]=t[4]*e,n[5]=t[5]*e,n[6]=t[6]*e,n[7]=t[7]*e,n[8]=t[8]*e,n[9]=t[9]*e,n[10]=t[10]*e,n[11]=t[11]*e,n[12]=t[12]*e,n[13]=t[13]*e,n[14]=t[14]*e,n[15]=t[15]*e,n}function fw(n,t,e,r){return n[0]=t[0]+e[0]*r,n[1]=t[1]+e[1]*r,n[2]=t[2]+e[2]*r,n[3]=t[3]+e[3]*r,n[4]=t[4]+e[4]*r,n[5]=t[5]+e[5]*r,n[6]=t[6]+e[6]*r,n[7]=t[7]+e[7]*r,n[8]=t[8]+e[8]*r,n[9]=t[9]+e[9]*r,n[10]=t[10]+e[10]*r,n[11]=t[11]+e[11]*r,n[12]=t[12]+e[12]*r,n[13]=t[13]+e[13]*r,n[14]=t[14]+e[14]*r,n[15]=t[15]+e[15]*r,n}function wd(n,t){return n[0]===t[0]&&n[1]===t[1]&&n[2]===t[2]&&n[3]===t[3]&&n[4]===t[4]&&n[5]===t[5]&&n[6]===t[6]&&n[7]===t[7]&&n[8]===t[8]&&n[9]===t[9]&&n[10]===t[10]&&n[11]===t[11]&&n[12]===t[12]&&n[13]===t[13]&&n[14]===t[14]&&n[15]===t[15]}function vw(n,t){var e=n[0],r=n[1],i=n[2],a=n[3],s=n[4],o=n[5],l=n[6],c=n[7],u=n[8],h=n[9],d=n[10],f=n[11],v=n[12],g=n[13],p=n[14],y=n[15],b=t[0],E=t[1],O=t[2],P=t[3],L=t[4],F=t[5],I=t[6],V=t[7],Y=t[8],J=t[9],$=t[10],ot=t[11],ct=t[12],ft=t[13],Nt=t[14],Ot=t[15];return Math.abs(e-b)<=W*Math.max(1,Math.abs(e),Math.abs(b))&&Math.abs(r-E)<=W*Math.max(1,Math.abs(r),Math.abs(E))&&Math.abs(i-O)<=W*Math.max(1,Math.abs(i),Math.abs(O))&&Math.abs(a-P)<=W*Math.max(1,Math.abs(a),Math.abs(P))&&Math.abs(s-L)<=W*Math.max(1,Math.abs(s),Math.abs(L))&&Math.abs(o-F)<=W*Math.max(1,Math.abs(o),Math.abs(F))&&Math.abs(l-I)<=W*Math.max(1,Math.abs(l),Math.abs(I))&&Math.abs(c-V)<=W*Math.max(1,Math.abs(c),Math.abs(V))&&Math.abs(u-Y)<=W*Math.max(1,Math.abs(u),Math.abs(Y))&&Math.abs(h-J)<=W*Math.max(1,Math.abs(h),Math.abs(J))&&Math.abs(d-$)<=W*Math.max(1,Math.abs(d),Math.abs($))&&Math.abs(f-ot)<=W*Math.max(1,Math.abs(f),Math.abs(ot))&&Math.abs(v-ct)<=W*Math.max(1,Math.abs(v),Math.abs(ct))&&Math.abs(g-ft)<=W*Math.max(1,Math.abs(g),Math.abs(ft))&&Math.abs(p-Nt)<=W*Math.max(1,Math.abs(p),Math.abs(Nt))&&Math.abs(y-Ot)<=W*Math.max(1,Math.abs(y),Math.abs(Ot))}var lg=Jt,gw=og;function cg(){var n=new X(9);return X!=Float32Array&&(n[1]=0,n[2]=0,n[3]=0,n[5]=0,n[6]=0,n[7]=0),n[0]=1,n[4]=1,n[8]=1,n}function pw(n,t){return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[4],n[4]=t[5],n[5]=t[6],n[6]=t[8],n[7]=t[9],n[8]=t[10],n}function ZB(n){var t=new glMatrix.ARRAY_TYPE(9);return t[0]=n[0],t[1]=n[1],t[2]=n[2],t[3]=n[3],t[4]=n[4],t[5]=n[5],t[6]=n[6],t[7]=n[7],t[8]=n[8],t}function WB(n,t){return n[0]=t[0],n[1]=t[1],n[2]=t[2],n[3]=t[3],n[4]=t[4],n[5]=t[5],n[6]=t[6],n[7]=t[7],n[8]=t[8],n}function mw(n,t,e,r,i,a,s,o,l){var c=new X(9);return c[0]=n,c[1]=t,c[2]=e,c[3]=r,c[4]=i,c[5]=a,c[6]=s,c[7]=o,c[8]=l,c}function GB(n,t,e,r,i,a,s,o,l,c){return n[0]=t,n[1]=e,n[2]=r,n[3]=i,n[4]=a,n[5]=s,n[6]=o,n[7]=l,n[8]=c,n}function VB(n){return n[0]=1,n[1]=0,n[2]=0,n[3]=0,n[4]=1,n[5]=0,n[6]=0,n[7]=0,n[8]=1,n}function UB(n,t){if(n===t){var e=t[1],r=t[2],i=t[5];n[1]=t[3],n[2]=t[6],n[3]=e,n[5]=t[7],n[6]=r,n[7]=i}else n[0]=t[0],n[1]=t[3],n[2]=t[6],n[3]=t[1],n[4]=t[4],n[5]=t[7],n[6]=t[2],n[7]=t[5],n[8]=t[8];return n}function YB(n,t){var e=t[0],r=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+r*d+i*f;return v?(v=1/v,n[0]=h*v,n[1]=(-u*r+i*c)*v,n[2]=(o*r-i*s)*v,n[3]=d*v,n[4]=(u*e-i*l)*v,n[5]=(-o*e+i*a)*v,n[6]=f*v,n[7]=(-c*e+r*l)*v,n[8]=(s*e-r*a)*v,n):null}function HB(n,t){var e=t[0],r=t[1],i=t[2],a=t[3],s=t[4],o=t[5],l=t[6],c=t[7],u=t[8];return n[0]=s*u-o*c,n[1]=i*c-r*u,n[2]=r*o-i*s,n[3]=o*l-a*u,n[4]=e*u-i*l,n[5]=i*a-e*o,n[6]=a*c-s*l,n[7]=r*l-e*c,n[8]=e*s-r*a,n}function XB(n){var t=n[0],e=n[1],r=n[2],i=n[3],a=n[4],s=n[5],o=n[6],l=n[7],c=n[8];return t*(c*a-s*l)+e*(-c*i+s*o)+r*(l*i-a*o)}function KB(n,t,e){var r=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],E=e[7],O=e[8];return n[0]=d*r+f*s+v*c,n[1]=d*i+f*o+v*u,n[2]=d*a+f*l+v*h,n[3]=g*r+p*s+y*c,n[4]=g*i+p*o+y*u,n[5]=g*a+p*l+y*h,n[6]=b*r+E*s+O*c,n[7]=b*i+E*o+O*u,n[8]=b*a+E*l+O*h,n}function QB(n,t,e){var r=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 n[0]=r,n[1]=i,n[2]=a,n[3]=s,n[4]=o,n[5]=l,n[6]=d*r+f*s+c,n[7]=d*i+f*o+u,n[8]=d*a+f*l+h,n}function qB(n,t,e){var r=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 n[0]=f*r+d*s,n[1]=f*i+d*o,n[2]=f*a+d*l,n[3]=f*s-d*r,n[4]=f*o-d*i,n[5]=f*l-d*a,n[6]=c,n[7]=u,n[8]=h,n}function JB(n,t,e){var r=e[0],i=e[1];return n[0]=r*t[0],n[1]=r*t[1],n[2]=r*t[2],n[3]=i*t[3],n[4]=i*t[4],n[5]=i*t[5],n[6]=t[6],n[7]=t[7],n[8]=t[8],n}function $B(n,t){return n[0]=1,n[1]=0,n[2]=0,n[3]=0,n[4]=1,n[5]=0,n[6]=t[0],n[7]=t[1],n[8]=1,n}function tF(n,t){var e=Math.sin(t),r=Math.cos(t);return n[0]=r,n[1]=e,n[2]=0,n[3]=-e,n[4]=r,n[5]=0,n[6]=0,n[7]=0,n[8]=1,n}function eF(n,t){return n[0]=t[0],n[1]=0,n[2]=0,n[3]=0,n[4]=t[1],n[5]=0,n[6]=0,n[7]=0,n[8]=1,n}function nF(n,t){return n[0]=t[0],n[1]=t[1],n[2]=0,n[3]=t[2],n[4]=t[3],n[5]=0,n[6]=t[4],n[7]=t[5],n[8]=1,n}function rF(n,t){var e=t[0],r=t[1],i=t[2],a=t[3],s=e+e,o=r+r,l=i+i,c=e*s,u=r*s,h=r*o,d=i*s,f=i*o,v=i*l,g=a*s,p=a*o,y=a*l;return n[0]=1-h-v,n[3]=u-y,n[6]=d+p,n[1]=u+y,n[4]=1-c-v,n[7]=f-g,n[2]=d-p,n[5]=f+g,n[8]=1-c-h,n}function iF(n,t){var e=t[0],r=t[1],i=t[2],a=t[3],s=t[4],o=t[5],l=t[6],c=t[7],u=t[8],h=t[9],d=t[10],f=t[11],v=t[12],g=t[13],p=t[14],y=t[15],b=e*o-r*s,E=e*l-i*s,O=e*c-a*s,P=r*l-i*o,L=r*c-a*o,F=i*c-a*l,I=u*g-h*v,V=u*p-d*v,Y=u*y-f*v,J=h*p-d*g,$=h*y-f*g,ot=d*y-f*p,ct=b*ot-E*$+O*J+P*Y-L*V+F*I;return ct?(ct=1/ct,n[0]=(o*ot-l*$+c*J)*ct,n[1]=(l*Y-s*ot-c*V)*ct,n[2]=(s*$-o*Y+c*I)*ct,n[3]=(i*$-r*ot-a*J)*ct,n[4]=(e*ot-i*Y+a*V)*ct,n[5]=(r*Y-e*$-a*I)*ct,n[6]=(g*F-p*L+y*P)*ct,n[7]=(p*O-v*F-y*E)*ct,n[8]=(v*L-g*O+y*b)*ct,n):null}function aF(n,t,e){return n[0]=2/t,n[1]=0,n[2]=0,n[3]=0,n[4]=-2/e,n[5]=0,n[6]=-1,n[7]=1,n[8]=1,n}function sF(n){return"mat3("+n[0]+", "+n[1]+", "+n[2]+", "+n[3]+", "+n[4]+", "+n[5]+", "+n[6]+", "+n[7]+", "+n[8]+")"}function oF(n){return 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n(t,e,r,i){(0,N.Z)(this,n),this.x=t,this.y=e,this.width=r,this.height=i,this.left=t,this.right=t+r,this.top=e,this.bottom=e+i}return(0,T.Z)(n,[{key:"toJSON",value:function(){}}],[{key:"fromRect",value:function(e){return new n(e.x,e.y,e.width,e.height)}},{key:"applyTransform",value:function(e,r){var i=Ui(e.x,e.y,0,1),a=Ui(e.x+e.width,e.y,0,1),s=Ui(e.x,e.y+e.height,0,1),o=Ui(e.x+e.width,e.y+e.height,0,1),l=An(),c=An(),u=An(),h=An();M(l,i,r),M(c,a,r),M(u,s,r),M(h,o,r);var d=Math.min(l[0],c[0],u[0],h[0]),f=Math.min(l[1],c[1],u[1],h[1]),v=Math.max(l[0],c[0],u[0],h[0]),g=Math.max(l[1],c[1],u[1],h[1]);return n.fromRect({x:d,y:f,width:v-d,height:g-f})}}])}(),rn="Method not implemented.",ro="Use document.documentElement instead.",Z2="Cannot append a destroyed element.";function io(n){return n===void 0?0:n>360||n<-360?n%360:n}var _d=pt();function Dr(n){var t=arguments.length>1&&arguments[1]!==void 0?arguments[1]:0,e=arguments.length>2&&arguments[2]!==void 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J2(n,t){n[0][0]=t[0],n[0][1]=t[1],n[0][2]=t[2],n[1][0]=t[4],n[1][1]=t[5],n[1][2]=t[6],n[2][0]=t[8],n[2][1]=t[9],n[2][2]=t[10]}function Id(n,t,e,r,i){n[0]=t[0]*r+e[0]*i,n[1]=t[1]*r+e[1]*i,n[2]=t[2]*r+e[2]*i}var sn=function(n){return n[n.ORBITING=0]="ORBITING",n[n.EXPLORING=1]="EXPLORING",n[n.TRACKING=2]="TRACKING",n}({}),Bd=function(n){return n[n.DEFAULT=0]="DEFAULT",n[n.ROTATIONAL=1]="ROTATIONAL",n[n.TRANSLATIONAL=2]="TRANSLATIONAL",n[n.CINEMATIC=3]="CINEMATIC",n}({}),vi=function(n){return n[n.ORTHOGRAPHIC=0]="ORTHOGRAPHIC",n[n.PERSPECTIVE=1]="PERSPECTIVE",n}({}),Xg={UPDATED:"updated"},Kg=2e-4,Qg=function(){function n(){(0,N.Z)(this,n),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,r){return this.type=e,this.type===sn.EXPLORING?this.setWorldRotation(!0):this.setWorldRotation(!1),this._getAngles(),this.type===sn.TRACKING&&r!==void 0&&this.setTrackingMode(r),this}},{key:"setProjectionMode",value:function(e){return this.projectionMode=e,this}},{key:"setTrackingMode",value:function(e){if(this.type!==sn.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,r){var i=Hn(Wt(),[e,r,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,r,i,a,s,o){return this.aspect=e/r,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=r,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,r){var i=this.canvas.viewport2Canvas({x:r[0],y:r[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:r[0],y:r[1]}),c=l.x,u=l.y,h=Et(c-a,u-s,0),d=ye(h,this.right)/gt(this.right),f=ye(h,this.up)/gt(this.up),v=this.getPosition(),g=(0,R.Z)(v,2),p=g[0],y=g[1],b=this.getFocalPoint(),E=(0,R.Z)(b,2),O=E[0],P=E[1];return this.setPosition(p-d,y-f),this.setFocalPoint(O-d,P-f),this}},{key:"setPerspective",value:function(e,r,i,a){var s;this.projectionMode=vi.PERSPECTIVE,this.fov=i,this.near=e,this.far=r,this.aspect=a;var o=this.near*Math.tan(an(.5*this.fov))/this.zoom,l=2*o,c=this.aspect*l,u=-.5*c;if((s=this.view)!==null&&s!==void 0&&s.enabled){var h=this.view.fullWidth,d=this.view.fullHeight;u+=this.view.offsetX*c/h,o-=this.view.offsetY*l/d,c*=this.view.width/h,l*=this.view.height/d}return K2(this.projectionMatrix,u,u+c,o-l,o,e,this.far,this.clipSpaceNearZ===sc.ZERO),Ze(this.projectionMatrixInverse,this.projectionMatrix),this.triggerUpdate(),this}},{key:"setOrthographic",value:function(e,r,i,a,s,o){var l;this.projectionMode=vi.ORTHOGRAPHIC,this.rright=r,this.left=e,this.top=i,this.bottom=a,this.near=s,this.far=o;var c=(this.rright-this.left)/(2*this.zoom),u=(this.top-this.bottom)/(2*this.zoom),h=(this.rright+this.left)/2,d=(this.top+this.bottom)/2,f=h-c,v=h+c,g=d+u,p=d-u;if((l=this.view)!==null&&l!==void 0&&l.enabled){var y=(this.rright-this.left)/this.view.fullWidth/this.zoom,b=(this.top-this.bottom)/this.view.fullHeight/this.zoom;f+=y*this.view.offsetX,v=f+y*this.view.width,g-=b*this.view.offsetY,p=g-b*this.view.height}return this.clipSpaceNearZ===sc.NEGATIVE_ONE?ig(this.projectionMatrix,f,v,g,p,s,o):ag(this.projectionMatrix,f,v,g,p,s,o),Ze(this.projectionMatrixInverse,this.projectionMatrix),this._getOrthoMatrix(),this.triggerUpdate(),this}},{key:"setPosition",value:function(e){var r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:this.position[1],i=arguments.length>2&&arguments[2]!==void 0?arguments[2]:this.position[2],a=Dr(e,r,i);return this._setPosition(a),this.setFocalPoint(this.focalPoint),this.triggerUpdate(),this}},{key:"setFocalPoint",value:function(e){var r=arguments.length>1&&arguments[1]!==void 0?arguments[1]:this.focalPoint[1],i=arguments.length>2&&arguments[2]!==void 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Vr(t[1]*255/100,t[2]*255/100,t[3]*255/100,1):(t=sS.exec(n))?hc(t[1],t[2],t[3],t[4]):(t=oS.exec(n))?hc(t[1]*255/100,t[2]*255/100,t[3]*255/100,t[4]):(t=lS.exec(n))?sp(t[1],t[2]/100,t[3]/100,1):(t=cS.exec(n))?sp(t[1],t[2]/100,t[3]/100,t[4]):tp.hasOwnProperty(n)?rp(tp[n]):n==="transparent"?new Vr(NaN,NaN,NaN,0):null}function rp(n){return new Vr(n>>16&255,n>>8&255,n&255,1)}function hc(n,t,e,r){return r<=0&&(n=t=e=NaN),new Vr(n,t,e,r)}function dS(n){return n instanceof Ko||(n=uc(n)),n?(n=n.rgb(),new Vr(n.r,n.g,n.b,n.opacity)):new Vr}function fS(n,t,e,r){return arguments.length===1?dS(n):new Vr(n,t,e,r==null?1:r)}function Vr(n,t,e,r){this.r=+n,this.g=+t,this.b=+e,this.opacity=+r}Fd(Vr,fS,$g(Ko,{brighter(n){return n=n==null?cc:Math.pow(cc,n),new Vr(this.r*n,this.g*n,this.b*n,this.opacity)},darker(n){return n=n==null?Qo:Math.pow(Qo,n),new Vr(this.r*n,this.g*n,this.b*n,this.opacity)},rgb(){return this},clamp(){return new 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v=0,g,p,y,b,E,O;r?(y=c,b=h,g=u-c,p=d-h,E=o||0,O=this.markerStartAngle):(y=u,b=d,g=c-u,p=h-d,E=l||0,O=this.markerEndAngle),v=Math.atan2(p,g),f.setLocalEulerAngles(v*180/Math.PI+O),f.setLocalPosition(y+Math.cos(v)*E,b+Math.sin(v)*E)}}},{key:"getPoint",value:function(r){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,r),h=u.x,d=u.y,f=re(pt(),Et(h,d,0),i?this.getWorldTransform():this.getLocalTransform());return new vr(f[0],f[1])}},{key:"getPointAtLength",value:function(r){var i=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;return this.getPoint(r/this.getTotalLength(),i)}},{key:"getTotalLength",value:function(){var r=this.parsedStyle,i=r.x1,a=r.y1,s=r.x2,o=r.y2;return Lg(i,a,s,o)}}])}(yn);As.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(yn.PARSED_STYLE_LIST),["x1","y1","x2","y2","z1","z2","isBillboard","isSizeAttenuation","markerStart","markerEnd","markerStartOffset","markerEndOffset"]));var 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o&&Ve(o)&&(e.markerStartAngle=o.getLocalEulerAngles(),e.appendChild(o)),c&&Ve(c)&&e.placeMarkerMid(c),l&&Ve(l)&&(e.markerEndAngle=l.getLocalEulerAngles(),e.appendChild(l)),e.transformMarker(!0),e.transformMarker(!1),e}return(0,C.Z)(t,n),(0,T.Z)(t,[{key:"attributeChangedCallback",value:function(r,i,a,s,o){r==="d"?(this.transformMarker(!0),this.transformMarker(!1),this.placeMarkerMid(this.parsedStyle.markerMid)):r==="markerStartOffset"||r==="markerEndOffset"?(this.transformMarker(!0),this.transformMarker(!1)):r==="markerStart"?(s&&Ve(s)&&(this.markerStartAngle=0,s.remove()),o&&Ve(o)&&(this.markerStartAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!0))):r==="markerEnd"?(s&&Ve(s)&&(this.markerEndAngle=0,s.remove()),o&&Ve(o)&&(this.markerEndAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!1))):r==="markerMid"&&this.placeMarkerMid(o)}},{key:"transformMarker",value:function(r){var i=this.parsedStyle,a=i.markerStart,s=i.markerEnd,o=i.markerStartOffset,l=i.markerEndOffset,c=r?a:s;if(!(!c||!Ve(c))){var u=0,h,d,f,v,g,p;if(r){var y=this.getStartTangent(),b=(0,R.Z)(y,2),E=b[0],O=b[1];f=O[0],v=O[1],h=E[0]-O[0],d=E[1]-O[1],g=o||0,p=this.markerStartAngle}else{var P=this.getEndTangent(),L=(0,R.Z)(P,2),F=L[0],I=L[1];f=I[0],v=I[1],h=F[0]-I[0],d=F[1]-I[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(r){var i=this.parsedStyle.d.segments;if(this.markerMidList.forEach(function(u){u.remove()}),r&&Ve(r))for(var a=1;a1&&arguments[1]!==void 0?arguments[1]:!1,a=this.parsedStyle.d.absolutePath,s=h2(a,r),o=s.x,l=s.y,c=re(pt(),Et(o,l,0),i?this.getWorldTransform():this.getLocalTransform());return new vr(c[0],c[1])}},{key:"getPoint",value:function(r){var i=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;return this.getPointAtLength(r*Xd(this),i)}},{key:"getStartTangent",value:function(){var r=this.parsedStyle.d.segments,i=[];if(r.length>1){var a=r[0].currentPoint,s=r[1].currentPoint,o=r[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 r=this.parsedStyle.d.segments,i=r.length,a=[];if(i>1){var s=r[i-2].currentPoint,o=r[i-1].currentPoint,l=r[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}}])}(yn);ni.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(yn.PARSED_STYLE_LIST),["d","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isBillboard","isSizeAttenuation"]));var lT=["style"],Ts=function(n){function t(){var e,r=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},i=r.style,a=(0,vs.Z)(r,lT);(0,N.Z)(this,t),e=(0,_.Z)(this,t,[(0,B.Z)({type:Dt.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&&Ve(o)&&(e.markerStartAngle=o.getLocalEulerAngles(),e.appendChild(o)),c&&Ve(c)&&e.placeMarkerMid(c),l&&Ve(l)&&(e.markerEndAngle=l.getLocalEulerAngles(),e.appendChild(l)),e.transformMarker(!0),e.transformMarker(!1),e}return(0,C.Z)(t,n),(0,T.Z)(t,[{key:"attributeChangedCallback",value:function(r,i,a,s,o){r==="points"?(this.transformMarker(!0),this.transformMarker(!1),this.placeMarkerMid(this.parsedStyle.markerMid)):r==="markerStartOffset"||r==="markerEndOffset"?(this.transformMarker(!0),this.transformMarker(!1)):r==="markerStart"?(s&&Ve(s)&&(this.markerStartAngle=0,s.remove()),o&&Ve(o)&&(this.markerStartAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!0))):r==="markerEnd"?(s&&Ve(s)&&(this.markerEndAngle=0,s.remove()),o&&Ve(o)&&(this.markerEndAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!1))):r==="markerMid"&&this.placeMarkerMid(o)}},{key:"transformMarker",value:function(r){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=r?a:s;if(!(!d||!Ve(d)||!h)){var f=0,v,g,p,y,b,E;if(p=h[0][0],y=h[0][1],r)v=h[1][0]-h[0][0],g=h[1][1]-h[0][1],b=o||0,E=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,E=this.markerEndAngle}f=Math.atan2(g,v),d.setLocalEulerAngles(f*180/Math.PI+E),d.setLocalPosition(p+Math.cos(f)*b,y+Math.sin(f)*b)}}},{key:"placeMarkerMid",value:function(r){var i=this.parsedStyle.points,a=i||{},s=a.points;if(this.markerMidList.forEach(function(h){h.remove()}),this.markerMidList=[],r&&Ve(r)&&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?r:r.cloneNode(!0);this.markerMidList.push(u),this.appendChild(u),u.setLocalPosition(l,c)}}}])}(yn);Ts.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(yn.PARSED_STYLE_LIST),["points","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isClosed","isBillboard","isSizeAttenuation"]));var cT=["style"],Oc=function(n){function t(){var e=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},r=e.style,i=(0,vs.Z)(e,cT);return(0,N.Z)(this,t),(0,_.Z)(this,t,[(0,B.Z)({type:Dt.POLYLINE,style:r,initialParsedStyle:{points:{points:[],totalLength:0,segments:[]},miterLimit:4,isClosed:!1}},i)])}return(0,C.Z)(t,n),(0,T.Z)(t,[{key:"getTotalLength",value:function(){return qS(this)}},{key:"getPointAtLength",value:function(r){var i=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;return this.getPoint(r/this.getTotalLength(),i)}},{key:"getPoint",value:function(r){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 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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:r,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,Tr.Z)().mark(function i(a,s){var o,l,c,u,h,d,f,v,g,p,y;return(0,Tr.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 r(i,a){return 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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 r(i,a){return e.apply(this,arguments)}return r}()},{key:"appendChild",value:function(r,i){throw new Error(ro)}},{key:"insertBefore",value:function(r,i){throw new Error(ro)}},{key:"removeChild",value:function(r,i){throw new Error(ro)}},{key:"replaceChild",value:function(r,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(r){return this.documentElement.getElementById(r)}},{key:"getElementsByName",value:function(r){return this.documentElement.getElementsByName(r)}},{key:"getElementsByTagName",value:function(r){return this.documentElement.getElementsByTagName(r)}},{key:"getElementsByClassName",value:function(r){return this.documentElement.getElementsByClassName(r)}},{key:"querySelector",value:function(r){return this.documentElement.querySelector(r)}},{key:"querySelectorAll",value:function(r){return this.documentElement.querySelectorAll(r)}},{key:"find",value:function(r){return this.documentElement.find(r)}},{key:"findAll",value:function(r){return this.documentElement.findAll(r)}}])}(On),rm=function(){function n(t){(0,N.Z)(this,n),this.strategies=t}return(0,T.Z)(n,[{key:"apply",value:function(e){var r=e.config,i=e.camera,a=e.renderingService,s=e.renderingContext,o=this.strategies;a.hooks.cull.tap(n.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=r.future)===null||c===void 0?void 0:c.experimentalCancelEventPropagation)===!0;return l.dispatchEvent(new Kn(De.CULLED),h,h),null}return l}),a.hooks.afterRender.tap(n.tag,function(l){l.cullable.visibilityPlaneMask=-1})}}])}();rm.tag="Culling";var im=function(){function n(){var t=this;(0,N.Z)(this,n),this.autoPreventDefault=!1,this.rootPointerEvent=new wc(null),this.rootWheelEvent=new lf(null),this.onPointerMove=function(e){var r,i=(r=t.context.renderingContext.root)===null||r===void 0||(r=r.ownerDocument)===null||r===void 0?void 0:r.defaultView;if(!(i.supportsTouchEvents&&e.pointerType==="touch")){var a=t.normalizeToPointerEvent(e,i),s=(0,fs.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 r,i=(r=t.context.renderingContext.root)===null||r===void 0||(r=r.ownerDocument)===null||r===void 0?void 0:r.defaultView,a=t.normalizeToPointerEvent(e,i),s=(0,fs.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)(n,[{key:"apply",value:function(e){var r=this;this.context=e;var i=e.renderingService,a=this.context.renderingContext.root.ownerDocument.defaultView;this.context.eventService.setPickHandler(function(s){var o=r.context.renderingService.hooks.pickSync.call({position:s,picked:[],topmost:!0}),l=o.picked;return l[0]||null}),i.hooks.pointerWheel.tap(n.tag,function(s){var o=r.normalizeWheelEvent(s);r.context.eventService.mapEvent(o)}),i.hooks.pointerDown.tap(n.tag,function(s){if(!(a.supportsTouchEvents&&s.pointerType==="touch")){var o=r.normalizeToPointerEvent(s,a);if(r.autoPreventDefault&&o[0].isNormalized){var l=s.cancelable||!("cancelable"in s);l&&s.preventDefault()}var c=(0,fs.Z)(o),u;try{for(c.s();!(u=c.n()).done;){var h=u.value,d=r.bootstrapEvent(r.rootPointerEvent,h,a,s);r.context.eventService.mapEvent(d)}}catch(f){c.e(f)}finally{c.f()}r.setCursor(r.context.eventService.cursor)}}),i.hooks.pointerUp.tap(n.tag,function(s){if(!(a.supportsTouchEvents&&s.pointerType==="touch")){var o=r.context.contextService.getDomElement(),l=r.context.eventService.isNativeEventFromCanvas(o,s),c=l?"":"outside",u=r.normalizeToPointerEvent(s,a),h=(0,fs.Z)(u),d;try{for(h.s();!(d=h.n()).done;){var f=d.value,v=r.bootstrapEvent(r.rootPointerEvent,f,a,s);v.type+=c,r.context.eventService.mapEvent(v)}}catch(g){h.e(g)}finally{h.f()}r.setCursor(r.context.eventService.cursor)}}),i.hooks.pointerMove.tap(n.tag,this.onPointerMove),i.hooks.pointerOver.tap(n.tag,this.onPointerMove),i.hooks.pointerOut.tap(n.tag,this.onPointerMove),i.hooks.click.tap(n.tag,this.onClick),i.hooks.pointerCancel.tap(n.tag,function(s){var o=r.normalizeToPointerEvent(s,a),l=(0,fs.Z)(o),c;try{for(l.s();!(c=l.n()).done;){var u=c.value,h=r.bootstrapEvent(r.rootPointerEvent,u,a,s);r.context.eventService.mapEvent(h)}}catch(d){l.e(d)}finally{l.f()}r.setCursor(r.context.eventService.cursor)})}},{key:"bootstrapEvent",value:function(e,r,i,a){e.view=i,e.originalEvent=null,e.nativeEvent=a,e.pointerId=r.pointerId,e.width=r.width,e.height=r.height,e.isPrimary=r.isPrimary,e.pointerType=r.pointerType,e.pressure=r.pressure,e.tangentialPressure=r.tangentialPressure,e.tiltX=r.tiltX,e.tiltY=r.tiltY,e.twist=r.twist,this.transferMouseData(e,r);var s=this.context.eventService.client2Viewport({x:r.clientX,y:r.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=XM[e.type]||e.type),e}},{key:"normalizeWheelEvent",value:function(e){var r=this.rootWheelEvent;this.transferMouseData(r,e),r.deltaMode=e.deltaMode,r.deltaX=e.deltaX,r.deltaY=e.deltaY,r.deltaZ=e.deltaZ;var i=this.context.eventService.client2Viewport({x:e.clientX,y:e.clientY}),a=i.x,s=i.y;r.viewport.x=a,r.viewport.y=s;var o=this.context.eventService.viewport2Canvas(r.viewport),l=o.x,c=o.y;return r.canvas.x=l,r.canvas.y=c,r.global.copyFrom(r.canvas),r.offset.copyFrom(r.canvas),r.nativeEvent=e,r.type=e.type,r}},{key:"transferMouseData",value:function(e,r){e.isTrusted=r.isTrusted,e.srcElement=r.srcElement,e.timeStamp=rf.now(),e.type=r.type,e.altKey=r.altKey,e.metaKey=r.metaKey,e.shiftKey=r.shiftKey,e.ctrlKey=r.ctrlKey,e.button=r.button,e.buttons=r.buttons,e.client.x=r.clientX,e.client.y=r.clientY,e.movement.x=r.movementX,e.movement.y=r.movementY,e.page.x=r.pageX,e.page.y=r.pageY,e.screen.x=r.screenX,e.screen.y=r.screenY,e.relatedTarget=null}},{key:"setCursor",value:function(e){this.context.contextService.applyCursorStyle(e||this.context.config.cursor||"default")}},{key:"normalizeToPointerEvent",value:function(e,r){var i=[];if(r.isTouchEvent(e))for(var a=0;a-1,l=0,c=a.length;l1&&arguments[1]!==void 0?arguments[1]:!1;if(e.isConnected){var i=e.rBushNode;i.aabb&&this.rBush.remove(i.aabb);var a=e.getRenderBounds();if(a){var s=e.renderable;r&&(s.dirtyRenderBounds||(s.dirtyRenderBounds=new pn),s.dirtyRenderBounds.update(a.center,a.halfExtents));var o=a.getMin(),l=(0,R.Z)(o,2),c=l[0],u=l[1],h=a.getMax(),d=(0,R.Z)(h,2),f=d[0],v=d[1];i.aabb||(i.aabb={}),i.aabb.displayObject=e,i.aabb.minX=c,i.aabb.minY=u,i.aabb.maxX=f,i.aabb.maxY=v}if(i.aabb&&!isNaN(i.aabb.maxX)&&!isNaN(i.aabb.maxX)&&!isNaN(i.aabb.minX)&&!isNaN(i.aabb.minY))return i.aabb}}},{key:"syncRTree",value:function(){var e=this,r=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!1;if(!(!r&&(this.syncing||this.syncTasks.size===0))){this.syncing=!0;var i=[],a=new Set,s=function(l){if(!a.has(l)&&l.renderable){var c=e.syncNode(l,r);c&&(i.push(c),a.add(l))}};this.syncTasks.forEach(function(o,l){o&&l.forEach(s);for(var c=l;c;)s(c),c=c.parentElement}),this.rBush.load(i),i.length=0,this.syncing=!1}}}])}();am.tag="Prepare";function Q8(n){return!!n.document}var ri=function(n){return n.READY="ready",n.BEFORE_RENDER="beforerender",n.RERENDER="rerender",n.AFTER_RENDER="afterrender",n.BEFORE_DESTROY="beforedestroy",n.AFTER_DESTROY="afterdestroy",n.RESIZE="resize",n.DIRTY_RECTANGLE="dirtyrectangle",n.RENDERER_CHANGED="rendererchanged",n}({}),sm=500,vT=.1,gT=1e3,Cc=new Kn(De.MOUNTED),Nc=new Kn(De.UNMOUNTED),ff=new Kn(ri.BEFORE_RENDER),om=new Kn(ri.RERENDER),vf=new Kn(ri.AFTER_RENDER),gf=function(n){function t(e){var r;(0,N.Z)(this,t),r=(0,_.Z)(this,t),r.Element=yn,r.inited=!1,r.context={};var i=e.container,a=e.canvas,s=e.renderer,o=e.width,l=e.height,c=e.background,u=e.cursor,h=e.supportsMutipleCanvasesInOneContainer,d=e.cleanUpOnDestroy,f=d===void 0?!0:d,v=e.offscreenCanvas,g=e.devicePixelRatio,p=e.requestAnimationFrame,y=e.cancelAnimationFrame,b=e.createImage,E=e.supportsTouchEvents,O=e.supportsPointerEvents,P=e.isTouchEvent,L=e.isMouseEvent,F=e.dblClickSpeed,I=o,V=l,Y=g||nf&&window.devicePixelRatio||1;return Y=Y>=1?Math.ceil(Y):1,a&&(I=o||UM(a)||a.width/Y,V=l||YM(a)||a.height/Y),r.customElements=new hT,r.devicePixelRatio=Y,r.requestAnimationFrame=p!=null?p:af.bind(Vt.globalThis),r.cancelAnimationFrame=y!=null?y:Gp.bind(Vt.globalThis),r.createImage=b!=null?b:function(){return new window.Image},r.supportsTouchEvents=E!=null?E:"ontouchstart"in Vt.globalThis,r.supportsPointerEvents=O!=null?O:!!Vt.globalThis.PointerEvent,r.isTouchEvent=P!=null?P:function(J){return r.supportsTouchEvents&&J instanceof Vt.globalThis.TouchEvent},r.isMouseEvent=L!=null?L:function(J){return!Vt.globalThis.MouseEvent||J instanceof Vt.globalThis.MouseEvent&&(!r.supportsPointerEvents||!(J instanceof Vt.globalThis.PointerEvent))},v&&(Vt.offscreenCanvas=v),r.document=new nm,r.document.defaultView=r,h||ZM(i,r,f),r.initRenderingContext((0,B.Z)((0,B.Z)({},e),{},{width:I,height:V,background:c!=null?c:"transparent",cursor:u!=null?u:"default",cleanUpOnDestroy:f,devicePixelRatio:Y,requestAnimationFrame:r.requestAnimationFrame,cancelAnimationFrame:r.cancelAnimationFrame,createImage:r.createImage,supportsTouchEvents:r.supportsTouchEvents,supportsPointerEvents:r.supportsPointerEvents,isTouchEvent:r.isTouchEvent,isMouseEvent:r.isMouseEvent,dblClickSpeed:F!=null?F:200})),r.initDefaultCamera(I,V,s.clipSpaceNearZ),r.initRenderer(s,!0),r}return(0,C.Z)(t,n),(0,T.Z)(t,[{key:"initRenderingContext",value:function(r){this.context.config=r,this.context.renderingContext={root:this.document.documentElement,unculledEntities:[],renderListCurrentFrame:[],renderReasons:new Set,force:!1,dirty:!1}}},{key:"initDefaultCamera",value:function(r,i,a){var s=this,o=new Vt.CameraContribution;o.clipSpaceNearZ=a,o.setType(sn.EXPLORING,Bd.DEFAULT).setPosition(r/2,i/2,sm).setFocalPoint(r/2,i/2,0).setOrthographic(r/-2,r/2,i/2,i/-2,vT,gT),o.canvas=this,o.eventEmitter.on(Xg.UPDATED,function(){s.context.renderingContext.renderReasons.add(lo.CAMERA_CHANGED),Vt.enableSizeAttenuation&&s.getConfig().renderer.getConfig().enableSizeAttenuation&&s.updateSizeAttenuation()}),this.context.camera=o}},{key:"updateSizeAttenuation",value:function(){var r=this.getCamera().getZoom();this.document.documentElement.forEach(function(i){Vt.styleValueRegistry.updateSizeAttenuation(i,r)})}},{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 r=this;return this.readyPromise||(this.readyPromise=new Promise(function(i){r.resolveReadyPromise=function(){i(r)}}),this.inited&&this.resolveReadyPromise()),this.readyPromise}},{key:"destroy",value:function(){var r,i=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!0,a=arguments.length>1?arguments[1]:void 0;zn.clearCache();var s=((r=this.getConfig().future)===null||r===void 0?void 0:r.experimentalCancelEventPropagation)===!0;a||this.dispatchEvent(new Kn(ri.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(),this.context.rBushRoot&&this.context.rBushRoot.clear(),a||this.dispatchEvent(new Kn(ri.AFTER_DESTROY),s,s);var l=function(u){u.currentTarget=null,u.manager=null,u.target=null,u.relatedNode=null};l(Cc),l(Nc),l(ff),l(om),l(vf),l(qi),l(uf),l(hf),l(em),Vt.textService.clearCache()}},{key:"changeSize",value:function(r,i){this.resize(r,i)}},{key:"resize",value:function(r,i){var a,s=this.context.config;s.width=r,s.height=i,this.getContextService().resize(r,i);var o=this.context.camera,l=o.getProjectionMode();o.setPosition(r/2,i/2,sm).setFocalPoint(r/2,i/2,0),l===vi.ORTHOGRAPHIC?o.setOrthographic(r/-2,r/2,i/2,i/-2,o.getNear(),o.getFar()):o.setAspect(r/i);var c=((a=s.future)===null||a===void 0?void 0:a.experimentalCancelEventPropagation)===!0;this.dispatchEvent(new Kn(ri.RESIZE,{width:r,height:i}),c,c)}},{key:"appendChild",value:function(r,i){return this.document.documentElement.appendChild(r,i)}},{key:"insertBefore",value:function(r,i){return this.document.documentElement.insertBefore(r,i)}},{key:"removeChild",value:function(r){return this.document.documentElement.removeChild(r)}},{key:"removeChildren",value:function(){this.document.documentElement.removeChildren()}},{key:"destroyChildren",value:function(){this.document.documentElement.destroyChildren()}},{key:"render",value:function(r){var i,a=this;r&&(ff.detail=r,vf.detail=r);var s=((i=this.getConfig().future)===null||i===void 0?void 0:i.experimentalCancelEventPropagation)===!0;this.dispatchEvent(ff,s,s);var o=this.getRenderingService();o.render(this.getConfig(),r,function(){a.dispatchEvent(om,s,s)}),this.dispatchEvent(vf,s,s)}},{key:"run",value:function(){var r=this,i=function(s,o){r.render(o),r.frameId=r.requestAnimationFrame(i)};i()}},{key:"initRenderer",value:function(r){var i=this,a=arguments.length>1&&arguments[1]!==void 0?arguments[1]:!1;if(!r)throw new Error("Renderer is required.");this.inited=!1,this.readyPromise=void 0,this.context.rBushRoot=new D2,this.context.renderingPlugins=[],this.context.renderingPlugins.push(new im,new am,new rm([new fT])),this.loadRendererContainerModule(r),this.context.contextService=new this.context.ContextService((0,B.Z)((0,B.Z)({},Vt),this.context)),this.context.renderingService=new OA(Vt,this.context),this.context.eventService=new TA(Vt,this.context),this.context.eventService.init(),this.context.contextService.init?(this.context.contextService.init(),this.initRenderingService(r,a,!0)):this.context.contextService.initAsync().then(function(){i.initRenderingService(r,a)}).catch(function(s){console.error(s)})}},{key:"initRenderingService",value:function(r){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(ri.READY),l,l)}):i.dispatchEvent(new Kn(ri.READY),l,l):i.dispatchEvent(new Kn(ri.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()),r.getConfig().enableAutoRendering&&i.run()})}},{key:"loadRendererContainerModule",value:function(r){var i=this,a=r.getPlugins();a.forEach(function(s){s.context=i.context,s.init(Vt)})}},{key:"setRenderer",value:function(r){var i=this.getConfig();if(i.renderer!==r){var a=i.renderer;i.renderer=r,this.destroy(!1,!0),(0,k.Z)((a==null?void 0:a.getPlugins())||[]).reverse().forEach(function(s){s.destroy(Vt)}),this.initRenderer(r)}}},{key:"setCursor",value:function(r){var i=this.getConfig();i.cursor=r,this.getContextService().applyCursorStyle(r)}},{key:"unmountChildren",value:function(r){var i=this;if(r.childNodes.forEach(function(o){i.unmountChildren(o)}),this.inited){if(r.isMutationObserved)r.dispatchEvent(Nc);else{var a,s=((a=this.getConfig().future)===null||a===void 0?void 0:a.experimentalCancelEventPropagation)===!0;Nc.target=r,this.dispatchEvent(Nc,!0,s)}r!==this.document.documentElement&&(r.ownerDocument=null),r.isConnected=!1}r.isCustomElement&&r.disconnectedCallback&&r.disconnectedCallback()}},{key:"mountChildren",value:function(r){var i=this,a=arguments.length>1&&arguments[1]!==void 0?arguments[1]:xc(r);if(this.inited){if(!r.isConnected&&(r.ownerDocument=this.document,r.isConnected=!0,!a))if(r.isMutationObserved)r.dispatchEvent(Cc);else{var s,o=((s=this.getConfig().future)===null||s===void 0?void 0:s.experimentalCancelEventPropagation)===!0;Cc.target=r,this.dispatchEvent(Cc,!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: ",r.nodeName);r.childNodes.forEach(function(l){i.mountChildren(l,a)}),r.isCustomElement&&r.connectedCallback&&r.connectedCallback()}},{key:"mountFragment",value:function(r){this.mountChildren(r,!1)}},{key:"client2Viewport",value:function(r){return this.getEventService().client2Viewport(r)}},{key:"viewport2Client",value:function(r){return this.getEventService().viewport2Client(r)}},{key:"viewport2Canvas",value:function(r){return this.getEventService().viewport2Canvas(r)}},{key:"canvas2Viewport",value:function(r){return this.getEventService().canvas2Viewport(r)}},{key:"getPointByClient",value:function(r,i){return this.client2Viewport({x:r,y:i})}},{key:"getClientByPoint",value:function(r,i){return this.viewport2Client({x:r,y:i})}}])}(Kp);var pT=function(n){function t(){var e;(0,N.Z)(this,t);for(var r=arguments.length,i=new Array(r),a=0;a90)return this;this.computeMatrix()}return this._getAxes(),this.type===sn.ORBITING||this.type===sn.EXPLORING?this._getPosition():this.type===sn.TRACKING&&this._getFocalPoint(),this._update(),this}},{key:"pan",value:function(r,i){var a=Dr(r,i,0),s=wt(this.position);return Ut(s,s,Pt(pt(),this.right,a[0])),Ut(s,s,Pt(pt(),this.up,a[1])),this._setPosition(s),this.triggerUpdate(),this}},{key:"dolly",value:function(r){var i=this.forward,a=wt(this.position),s=r*this.dollyingStep,o=this.distance+r*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===sn.ORBITING||this.type===sn.EXPLORING?this._getDistance():this.type===sn.TRACKING&&Ut(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(r){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 Vt.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:r,matrix:ue(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 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Za(n,t,e,r=!1){if(Zn(n,t))return n;const i=r?ln(n,t):ln(t,n),a=pa(i),s=[a[0]*e,a[1]*e];return Ne(Rs(n),s)}function Ty(n,t){return n[1]===t[1]}function EN(n,t){return n[0]===t[0]}function wN(n,t){return Ty(n,t)||EN(n,t)}function Oy(n,t,e){return Sy([n,t],[t,e])}function Cy(n,t){return[2*t[0]-n[0],2*t[1]-n[1]]}function Ny(n,t,e,r=!0,i=!1){for(let a=0;aa!=f>a&&i<(d-u)*(a-h)/(f-h)+u&&(s=!s)}return s}function MN(n,t,e=!1){const r=ma(t,"center"),i=[ma(t,"left-top"),ma(t,"right-top"),ma(t,"right-bottom"),ma(t,"left-bottom")];return Ny(n,r,i,!1,e).point}function du(n,t,e=!1){const r=t.center,i=e?Cy(n,r):n,a=ln(i,t.center),s=Math.atan2(a[1],a[0]);if(isNaN(s))return r;const o=ta(t)/2,l=ea(t)/2,c=r[0]+o*Math.cos(s),u=r[1]+l*Math.sin(s);return[c,u]}function AN(n,t){let e=1/0,r=[n[0],t[0]];return n.forEach(i=>{t.forEach(a=>{const s=bn(i,a);s{const a=ON(n,i);a1?u=1:u<0&&(u=0);const h=e+u*l,d=r+u*c;return[h,d]}function CN(n){const t=n.reduce((e,r)=>Ne(e,r),[0,0]);return Ii(t,n.length)}function Hf(n,t=!0){const e=CN(n);return n.sort(([r,i],[a,s])=>{const o=Math.atan2(i-e[1],r-e[0]),l=Math.atan2(s-e[1],a-e[0]);return t?l-o:o-l})}function Py(n,t){return[n,[n[0],t[1]],t,[t[0],n[1]]]}class Wn{constructor(t,e,r){if(this.phase=e,this.pointerByTouch=[],this.initialDistance=null,this.emitter=t,Wn.instance)return Wn.callbacks[this.phase].push(r),Wn.instance;this.onPointerDown=this.onPointerDown.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.bindEvents(),Wn.instance=this,Wn.callbacks[this.phase].push(r)}bindEvents(){const{emitter:t}=this;t.on(Bt.POINTER_DOWN,this.onPointerDown),t.on(Bt.POINTER_MOVE,this.onPointerMove),t.on(Bt.POINTER_UP,this.onPointerUp)}updatePointerPosition(t,e,r){const i=this.pointerByTouch.findIndex(a=>a.pointerId===t);i>=0&&(this.pointerByTouch[i]={x:e,y:r,pointerId:t})}onPointerDown(t){const{x:e,y:r}=t.client||{};if(!(e===void 0||r===void 0)&&(this.pointerByTouch.push({x:e,y:r,pointerId:t.pointerId}),t.pointerType==="touch"&&this.pointerByTouch.length===2)){Wn.isPinching=!0;const i=this.pointerByTouch[0].x-this.pointerByTouch[1].x,a=this.pointerByTouch[0].y-this.pointerByTouch[1].y;this.initialDistance=Math.sqrt(i*i+a*a),Wn.callbacks.pinchstart.forEach(s=>s(t,{scale:0}))}}onPointerMove(t){if(this.pointerByTouch.length!==2||this.initialDistance===null)return;const{x:e,y:r}=t.client||{};if(e===void 0||r===void 0)return;this.updatePointerPosition(t.pointerId,e,r);const i=this.pointerByTouch[0].x-this.pointerByTouch[1].x,a=this.pointerByTouch[0].y-this.pointerByTouch[1].y,o=Math.sqrt(i*i+a*a)/this.initialDistance;Wn.callbacks.pinchmove.forEach(l=>l(t,{scale:(o-1)*5}))}onPointerUp(t){var e;Wn.callbacks.pinchend.forEach(r=>r(t,{scale:0})),Wn.isPinching=!1,this.initialDistance=null,this.pointerByTouch=[],(e=Wn.instance)===null||e===void 0||e.tryDestroy()}destroy(){this.emitter.off(Bt.POINTER_DOWN,this.onPointerDown),this.emitter.off(Bt.POINTER_MOVE,this.onPointerMove),this.emitter.off(Bt.POINTER_UP,this.onPointerUp),Wn.instance=null}off(t,e){const r=Wn.callbacks[t].indexOf(e);r>-1&&Wn.callbacks[t].splice(r,1),this.tryDestroy()}tryDestroy(){Object.values(Wn.callbacks).every(t=>t.length===0)&&this.destroy()}}Wn.isPinching=!1,Wn.instance=null,Wn.callbacks={pinchstart:[],pinchmove:[],pinchend:[]};const Ry=n=>n.map(t=>Ge(t)?t.toLocaleLowerCase():t);class go{constructor(t){this.map=new Map,this.boundHandlePinch=()=>{},this.recordKey=new Set,this.onKeyDown=e=>{e!=null&&e.key&&(this.recordKey.add(e.key),this.trigger(e))},this.onKeyUp=e=>{e!=null&&e.key&&this.recordKey.delete(e.key)},this.onWheel=e=>{this.triggerExtendKey(Bt.WHEEL,e)},this.onDrag=e=>{this.triggerExtendKey(Bt.DRAG,e)},this.handlePinch=(e,r)=>{this.triggerExtendKey(Bt.PINCH,Object.assign(Object.assign({},e),r))},this.onFocus=()=>{this.recordKey.clear()},this.emitter=t,this.bindEvents()}bind(t,e){t.length!==0&&(t.includes(Bt.PINCH)&&!this.pinchHandler&&(this.boundHandlePinch=this.handlePinch.bind(this),this.pinchHandler=new Wn(this.emitter,"pinchmove",this.boundHandlePinch)),this.map.set(t,e))}unbind(t,e){this.map.forEach((r,i)=>{Zn(i,t)&&(!e||e===r)&&this.map.delete(i)})}unbindAll(){this.map.clear()}match(t){const e=Ry(Array.from(this.recordKey)).sort(),r=Ry(t).sort();return Zn(e,r)}bindEvents(){var t;const{emitter:e}=this;e.on(Bt.KEY_DOWN,this.onKeyDown),e.on(Bt.KEY_UP,this.onKeyUp),e.on(Bt.WHEEL,this.onWheel),e.on(Bt.DRAG,this.onDrag),(t=globalThis.addEventListener)===null||t===void 0||t.call(globalThis,"focus",this.onFocus)}trigger(t){this.map.forEach((e,r)=>{this.match(r)&&e(t)})}triggerExtendKey(t,e){this.map.forEach((r,i)=>{i.includes(t)&&Zn(Array.from(this.recordKey),i.filter(a=>a!==t))&&r(e)})}destroy(){var t,e;this.unbindAll(),this.emitter.off(Bt.KEY_DOWN,this.onKeyDown),this.emitter.off(Bt.KEY_UP,this.onKeyUp),this.emitter.off(Bt.WHEEL,this.onWheel),this.emitter.off(Bt.DRAG,this.onDrag),(t=this.pinchHandler)===null||t===void 0||t.off("pinchmove",this.boundHandlePinch),(e=globalThis.removeEventListener)===null||e===void 0||e.call(globalThis,"blur",this.onFocus)}}class yl extends ai{constructor(t,e){super(t,pr({},yl.defaultOptions,e)),this.shortcut=new go(t.graph),this.onPointerDown=this.onPointerDown.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.clearStates=this.clearStates.bind(this),this.bindEvents()}onPointerDown(t){if(!this.validate(t)||!this.isKeydown()||this.startPoint)return;const{canvas:e,graph:r}=this.context,i=Object.assign({},this.options.style);this.options.style.lineWidth&&(i.lineWidth=+this.options.style.lineWidth/r.getZoom()),this.rectShape=new gr({id:"g6-brush-select",style:i}),e.appendChild(this.rectShape),this.startPoint=[t.canvas.x,t.canvas.y]}onPointerMove(t){var e;if(!this.startPoint)return;const{immediately:r,mode:i}=this.options;this.endPoint=fu(t),(e=this.rectShape)===null||e===void 0||e.attr({x:Math.min(this.endPoint[0],this.startPoint[0]),y:Math.min(this.endPoint[1],this.startPoint[1]),width:Math.abs(this.endPoint[0]-this.startPoint[0]),height:Math.abs(this.endPoint[1]-this.startPoint[1])}),r&&i==="default"&&this.updateElementsStates(Py(this.startPoint,this.endPoint))}onPointerUp(t){if(this.startPoint){if(!this.endPoint){this.clearBrush();return}this.endPoint=fu(t),this.updateElementsStates(Py(this.startPoint,this.endPoint)),this.clearBrush()}}clearStates(){this.endPoint||this.clearElementsStates()}clearElementsStates(){const{graph:t}=this.context,e=Object.values(t.getData()).reduce((r,i)=>Object.assign({},r,i.reduce((a,s)=>{var o;const l=(o=s.states||[])===null||o===void 0?void 0:o.filter(c=>c!==this.options.state);return a[At(s)]=l,a},{})),{});t.setElementState(e,this.options.animation)}updateElementsStates(t){const{graph:e}=this.context,{enableElements:r,state:i,mode:a,onSelect:s}=this.options,o=this.selector(e,t,r);let l={};switch(a){case"union":o.forEach(c=>{l[c]=[...e.getElementState(c),i]});break;case"diff":o.forEach(c=>{const u=e.getElementState(c);l[c]=u.includes(i)?u.filter(h=>h!==i):[...u,i]});break;case"intersect":o.forEach(c=>{const u=e.getElementState(c);l[c]=u.includes(i)?[i]:[]});break;case"default":default:o.forEach(c=>{l[c]=[i]});break}fe(s)&&(l=s(l)),e.setElementState(l,this.options.animation)}selector(t,e,r){if(!r||r.length===0)return[];const i=[],a=t.getData();if(r.forEach(s=>{a[`${s}s`].forEach(o=>{const l=At(o);t.getElementVisibility(l)!=="hidden"&&SN(t.getElementPosition(l),e)&&i.push(l)})}),r.includes("edge")){const s=a.edges;s==null||s.forEach(o=>{const{source:l,target:c}=o;i.includes(l)&&i.includes(c)&&i.push(At(o))})}return i}clearBrush(){var t;(t=this.rectShape)===null||t===void 0||t.remove(),this.rectShape=void 0,this.startPoint=void 0,this.endPoint=void 0}isKeydown(){const{trigger:t}=this.options,e=Array.isArray(t)?t:[t];return this.shortcut.match(e.filter(r=>r!=="drag"))}validate(t){if(this.destroyed)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}bindEvents(){const{graph:t}=this.context;t.on(Bt.POINTER_DOWN,this.onPointerDown),t.on(Bt.POINTER_MOVE,this.onPointerMove),t.on(Bt.POINTER_UP,this.onPointerUp),t.on(fa.CLICK,this.clearStates)}unbindEvents(){const{graph:t}=this.context;t.off(Bt.POINTER_DOWN,this.onPointerDown),t.off(Bt.POINTER_MOVE,this.onPointerMove),t.off(Bt.POINTER_UP,this.onPointerUp),t.off(fa.CLICK,this.clearStates)}update(t){this.unbindEvents(),this.options=pr(this.options,t),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy()}}yl.defaultOptions={animation:!1,enable:!0,enableElements:["node","combo","edge"],immediately:!1,mode:"default",state:"selected",trigger:["shift"],style:{width:0,height:0,lineWidth:1,fill:"#1677FF",stroke:"#1677FF",fillOpacity:.1,zIndex:2,pointerEvents:"none"}};const fu=n=>[n.canvas.x,n.canvas.y],ya=.8,Ls=["node","edge","combo"];function _s(n,t,e,r,i=0){r==="TB"&&t(n,i);const a=e(n);if(a)for(const s of a)_s(s,t,e,r,i+1);r==="BT"&&t(n,i)}function NN(n,t,e){const r=[[n,0]];for(;r.length;){const[i,a]=r.shift();t(i,a);const s=e(i);if(s)for(const o of s)r.push([o,a+1])}}function Ly(n,t,e,r,i="both"){if(t==="combo"||t==="node")return Xf(n,e,r,i);const a=n.getEdgeData(e);if(!a)return[];const s=Xf(n,a.source,r-1,i),o=Xf(n,a.target,r-1,i);return Array.from(new Set([...s,...o,e]))}function Xf(n,t,e,r="both"){const i=new Set,a=new Set,s=new Set;return NN(t,(o,l)=>{l>e||(s.add(o),n.getRelatedEdgesData(o,r).forEach(c=>{const u=At(c);!a.has(u)&&ln.getRelatedEdgesData(o,r).map(l=>l.source===o?l.target:l.source).filter(l=>i.has(l)?!1:(i.add(l),!0))),Array.from(s)}function Kf(n){return n.states||[]}var vu=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class gu extends ai{constructor(t,e){super(t,Object.assign({},gu.defaultOptions,e)),this.onClickSelect=r=>vu(this,void 0,void 0,function*(){var i,a;this.validate(r)&&(yield this.updateState(r),(a=(i=this.options).onClick)===null||a===void 0||a.call(i,r))}),this.onClickCanvas=r=>vu(this,void 0,void 0,function*(){var i,a;this.validate(r)&&(yield this.clearState(),(a=(i=this.options).onClick)===null||a===void 0||a.call(i,r))}),this.shortcut=new go(t.graph),this.bindEvents()}bindEvents(){const{graph:t}=this.context;this.unbindEvents(),Ls.forEach(e=>{t.on(`${e}:${Bt.CLICK}`,this.onClickSelect)}),t.on(fa.CLICK,this.onClickCanvas)}get isMultipleSelect(){const{multiple:t,trigger:e}=this.options;return t&&this.shortcut.match(e)}getNeighborIds(t){const{target:e,targetType:r}=t,{graph:i}=this.context,{degree:a}=this.options;return Ly(i,r,e.id,typeof a=="function"?a(t):a).filter(s=>s!==e.id)}updateState(t){return vu(this,void 0,void 0,function*(){const{state:e,unselectedState:r,neighborState:i,animation:a}=this.options;if(!e&&!i&&!r)return;const{target:s}=t,{graph:o}=this.context,l=o.getElementData(s.id),c=Kf(l).includes(e)?"unselect":"select",u={},h=this.isMultipleSelect,d=[s.id],f=this.getNeighborIds(t);if(h)if(Object.assign(u,this.getDataStates()),c==="select"){const v=(g,p)=>{g.forEach(y=>{const b=new Set(o.getElementState(y));b.add(p),b.delete(r),u[y]=Array.from(b)})};v(d,e),v(f,i),r&&Object.keys(u).forEach(g=>{const p=u[g];!p.includes(e)&&!p.includes(i)&&!p.includes(r)&&u[g].push(r)})}else{const v=u[s.id];u[s.id]=v.filter(g=>g!==e&&g!==i),v.includes(r)||u[s.id].push(r),f.forEach(g=>{u[g]=u[g].filter(p=>p!==i),u[g].includes(e)||u[g].push(r)})}else if(c==="select"){Object.assign(u,this.getClearStates(!!r));const v=(g,p)=>{g.forEach(y=>{u[y]||(u[y]=o.getElementState(y)),u[y].push(p)})};v(d,e),v(f,i),r&&Object.keys(u).forEach(g=>{!d.includes(g)&&!f.includes(g)&&u[g].push(r)})}else 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fe(e)?e(t):!!e}unbindEvents(){const{graph:t}=this.context;Ls.forEach(e=>{t.off(`${e}:${Bt.CLICK}`,this.onClickSelect)}),t.off(fa.CLICK,this.onClickCanvas)}destroy(){this.unbindEvents(),super.destroy()}}gu.defaultOptions={animation:!0,enable:!0,multiple:!1,trigger:["shift"],state:"selected",neighborState:"selected",unselectedState:void 0,degree:0};function Kr(n){var t;return!!(!((t=n.style)===null||t===void 0)&&t.collapsed)}var yr=function(n,t,e){for(var r=0,i=Ge(t)?t.split("."):t;n&&r="A"&&e<="Z"}function _y(n,t){return`${t}${Yc(n)}`}function Dy(n,t,e=!0){if(!t||!xl(n,t))return n;const r=n.slice(t.length);return e?PN(r):r}function Qn(n,t){const e=Object.entries(n).reduce((r,[i,a])=>(i==="className"||i==="class"||xl(i,t)&&Object.assign(r,{[Dy(i,t)]:a}),r),{});if("opacity"in n){const r=_y("opacity",t),i=n.opacity;if(r in n){const a=n[r];Object.assign(e,{opacity:i*a})}else Object.assign(e,{opacity:i})}return e}function Qf(n,t){const e=t.length;return 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r=n.parsedStyle,i=r.filter,a=r.shadowColor,s=r.shadowBlur,o=r.shadowOffsetX,l=r.shadowOffsetY;i&&i.length&&(t.filter=n.style.filter),e&&(t.shadowColor=a.toString(),t.shadowBlur=s||0,t.shadowOffsetX=o||0,t.shadowOffsetY=l||0)}function e1(n,t,e,r,i,a,s,o){var l=arguments.length>8&&arguments[8]!==void 0?arguments[8]:!1;Array.isArray(e)?e.forEach(function(c){n.fillStyle=Au(c,t,n,o),l||(r?n.fill(r):n.fill())}):(ys(e)&&(n.fillStyle=Mu(e,t,n,i,a,s,o)),l||(r?n.fill(r):n.fill()))}function lv(n,t,e,r,i,a,s){var o=arguments.length>7&&arguments[7]!==void 0?arguments[7]:!1;Array.isArray(e)?e.forEach(function(l){n.strokeStyle=Au(l,t,n,s),o||n.stroke()}):(ys(e)&&(n.strokeStyle=Mu(e,t,n,r,i,a,s)),o||n.stroke())}function Fk(n,t){var e=(0,R.Z)(n,4),r=e[0],i=e[1],a=e[2],s=e[3],o=(0,R.Z)(t,4),l=o[0],c=o[1],u=o[2],h=o[3],d=Math.max(r,l),f=Math.max(i,c),v=Math.min(r+a,l+u),g=Math.min(i+s,c+h);return v<=d||g<=f?null:[d,f,v-d,g-f]}function zk(n,t){var 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o=s.src,l=s.imageCache,c=s.imageRect,u=s.drawRect,h=l.size,d=r.getTransform(),f=d.a,v=d.b,g=d.c,p=d.d,y=d.e,b=d.f;if(r.resetTransform(),!(l!=null&&l.gridSize)){this.imagePool.createImageTiles(o,[],function(){a.ownerDocument&&(a.dirty(),a.ownerDocument.defaultView.context.renderingService.dirtify())},a).catch(function(ft){console.error(ft)});return}for(var E=[h[0]/c[2],h[1]/c[3]],O=[l.tileSize[0]/E[0],l.tileSize[1]/E[1]],P=[Math.floor((u[0]-c[0])/O[0]),Math.ceil((u[0]+u[2]-c[0])/O[0])],L=P[0],F=P[1],I=[Math.floor((u[1]-c[1])/O[1]),Math.ceil((u[1]+u[3]-c[1])/O[1])],V=I[0],Y=I[1],J=V;J<=Y;J++)for(var $=L;$<=F;$++){var ot=l.tiles[J][$];if(ot){var ct=[Math.floor(c[0]+ot.tileX*O[0]),Math.floor(c[1]+ot.tileY*O[1]),Math.ceil(O[0]),Math.ceil(O[1])];r.drawImage(ot.data,ct[0],ct[1],ct[2],ct[3])}}r.setTransform(f,v,g,p,y,b)}},{key:"render",value:function(r,i,a){var s=i.x,o=s===void 0?0:s,l=i.y,c=l===void 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l=s.root.ownerDocument.defaultView,c=function(I){a.hooks.pointerMove.call(I)},u=function(I){a.hooks.pointerUp.call(I)},h=function(I){a.hooks.pointerDown.call(I)},d=function(I){a.hooks.pointerOver.call(I)},f=function(I){a.hooks.pointerOut.call(I)},v=function(I){a.hooks.pointerCancel.call(I)},g=function(I){a.hooks.pointerWheel.call(I)},p=function(I){a.hooks.click.call(I)},y=function(I){r.globalThis.document.addEventListener("pointermove",c,!0),I.addEventListener("pointerdown",h,!0),I.addEventListener("pointerleave",f,!0),I.addEventListener("pointerover",d,!0),r.globalThis.addEventListener("pointerup",u,!0),r.globalThis.addEventListener("pointercancel",v,!0)},b=function(I){I.addEventListener("touchstart",h,!0),I.addEventListener("touchend",u,!0),I.addEventListener("touchmove",c,!0),I.addEventListener("touchcancel",v,!0)},E=function(I){r.globalThis.document.addEventListener("mousemove",c,!0),I.addEventListener("mousedown",h,!0),I.addEventListener("mouseout",f,!0),I.addEventListener("mouseover",d,!0),r.globalThis.addEventListener("mouseup",u,!0)},O=function(I){r.globalThis.document.removeEventListener("pointermove",c,!0),I.removeEventListener("pointerdown",h,!0),I.removeEventListener("pointerleave",f,!0),I.removeEventListener("pointerover",d,!0),r.globalThis.removeEventListener("pointerup",u,!0),r.globalThis.removeEventListener("pointercancel",v,!0)},P=function(I){I.removeEventListener("touchstart",h,!0),I.removeEventListener("touchend",u,!0),I.removeEventListener("touchmove",c,!0),I.removeEventListener("touchcancel",v,!0)},L=function(I){r.globalThis.document.removeEventListener("mousemove",c,!0),I.removeEventListener("mousedown",h,!0),I.removeEventListener("mouseout",f,!0),I.removeEventListener("mouseover",d,!0),r.globalThis.removeEventListener("mouseup",u,!0)};a.hooks.init.tap(n.tag,function(){var F=i.context.contextService.getDomElement();r.globalThis.navigator.msPointerEnabled?(F.style.msContentZooming="none",F.style.msTouchAction="none"):l.supportsPointerEvents&&(F.style.touchAction="none"),l.supportsPointerEvents?y(F):E(F),l.supportsTouchEvents&&b(F),o.useNativeClickEvent&&F.addEventListener("click",p,!0),F.addEventListener("wheel",g,{passive:!0,capture:!0})}),a.hooks.destroy.tap(n.tag,function(){var F=i.context.contextService.getDomElement();r.globalThis.navigator.msPointerEnabled?(F.style.msContentZooming="",F.style.msTouchAction=""):l.supportsPointerEvents&&(F.style.touchAction=""),l.supportsPointerEvents?O(F):L(F),l.supportsTouchEvents&&P(F),o.useNativeClickEvent&&F.removeEventListener("click",p,!0),F.removeEventListener("wheel",g,!0)})}}])}();n1.tag="DOMInteraction";var Gk=function(n){function t(){var e;(0,N.Z)(this,t);for(var r=arguments.length,i=new Array(r),a=0;a1&&arguments[1]!==void 0?arguments[1]:[0,0,0];return"matrix(".concat([e[0],e[1],e[4],e[5],e[12]+r[0],e[13]+r[1]].join(","),")")}},{key:"apply",value:function(e,r){var i=this,a=e.camera,s=e.renderingContext,o=e.renderingService;this.context=e;var l=s.root.ownerDocument.defaultView,c=l.context.eventService.nativeHTMLMap,u=function(y,b){b.style.transform=i.joinTransformMatrix(y.getWorldTransform(),y.getOrigin())},h=function(y){var b=y.target;if(b.nodeName===Dt.HTML){i.$camera||(i.$camera=i.createCamera(a));var E=i.getOrCreateEl(b);i.$camera.appendChild(E),Object.keys(b.attributes).forEach(function(O){i.updateAttribute(O,b)}),u(b,E),c.set(E,b)}},d=function(y){var b=y.target;if(b.nodeName===Dt.HTML&&i.$camera){var E=i.getOrCreateEl(b);E&&(E.remove(),c.delete(E))}},f=function(y){var b=y.target;if(b.nodeName===Dt.HTML){var E=y.attrName;i.updateAttribute(E,b)}},v=function(y){var b=y.target,E=b.nodeName===Dt.FRAGMENT?b.childNodes:[b];E.forEach(function(O){if(O.nodeName===Dt.HTML){var P=i.getOrCreateEl(O);u(O,P)}})},g=function(){if(i.$camera){var y=i.context.config,b=y.width,E=y.height;i.$camera.parentElement.style.width="".concat(b||0,"px"),i.$camera.parentElement.style.height="".concat(E||0,"px")}};o.hooks.init.tap(n.tag,function(){l.addEventListener(ri.RESIZE,g),l.addEventListener(De.MOUNTED,h),l.addEventListener(De.UNMOUNTED,d),l.addEventListener(De.ATTR_MODIFIED,f),l.addEventListener(De.BOUNDS_CHANGED,v)}),o.hooks.endFrame.tap(n.tag,function(){i.$camera&&s.renderReasons.has(lo.CAMERA_CHANGED)&&(i.$camera.style.transform=i.joinTransformMatrix(a.getOrthoMatrix()))}),o.hooks.destroy.tap(n.tag,function(){i.$camera&&i.$camera.remove(),l.removeEventListener(ri.RESIZE,g),l.removeEventListener(De.MOUNTED,h),l.removeEventListener(De.UNMOUNTED,d),l.removeEventListener(De.ATTR_MODIFIED,f),l.removeEventListener(De.BOUNDS_CHANGED,v)})}},{key:"createCamera",value:function(e){var r=this.context.config,i=r.document,a=r.width,s=r.height,o=this.context.contextService.getDomElement(),l=o.parentNode;if(l){var c=Vk,u=l.querySelector("#".concat(c));if(!u){var h=(i||document).createElement("div");h.style.overflow="hidden",h.style.pointerEvents="none",h.style.position="absolute",h.style.left="0px",h.style.top="0px",h.style.width="".concat(a||0,"px"),h.style.height="".concat(s||0,"px");var d=(i||document).createElement("div");u=d,d.id=c,d.style.position="absolute",d.style.left="".concat(o.offsetLeft||0,"px"),d.style.top="".concat(o.offsetTop||0,"px"),d.style.transformOrigin="left top",d.style.transform=this.joinTransformMatrix(e.getOrthoMatrix()),d.style.pointerEvents="none",d.style.width="100%",d.style.height="100%",h.appendChild(d),l.appendChild(h)}return u}return null}},{key:"getOrCreateEl",value:function(e){var r=this.context.config.document,i=this.displayObjectHTMLElementMap.get(e);return i||(i=(r||document).createElement("div"),e.parsedStyle.$el=i,this.displayObjectHTMLElementMap.set(e,i),e.id&&(i.id=e.id),e.name&&i.setAttribute("name",e.name),e.className&&(i.className=e.className),i.style.position="absolute",i.style["will-change"]="transform",i.style.transform=this.joinTransformMatrix(e.getWorldTransform(),e.getOrigin())),i}},{key:"updateAttribute",value:function(e,r){var i=this.getOrCreateEl(r);switch(e){case"innerHTML":var a=r.parsedStyle.innerHTML;Ge(a)?i.innerHTML=a:(i.innerHTML="",i.appendChild(a));break;case"x":i.style.left="".concat(r.parsedStyle.x,"px");break;case"y":i.style.top="".concat(r.parsedStyle.y,"px");break;case"transformOrigin":var s=r.parsedStyle.transformOrigin;i.style["transform-origin"]="".concat(s[0].buildCSSText(null,null,"")," ").concat(s[1].buildCSSText(null,null,""));break;case"width":var o=r.parsedStyle.width;i.style.width=ie(o)?"".concat(o,"px"):o.toString();break;case"height":var l=r.parsedStyle.height;i.style.height=ie(l)?"".concat(l,"px"):l.toString();break;case"zIndex":var c=r.parsedStyle.zIndex;i.style["z-index"]="".concat(c);break;case"visibility":var u=r.parsedStyle.visibility;i.style.visibility=u;break;case"pointerEvents":var h=r.parsedStyle.pointerEvents,d=h===void 0?"auto":h;i.style.pointerEvents=d;break;case"opacity":var f=r.parsedStyle.opacity;i.style.opacity="".concat(f);break;case"fill":var v=r.parsedStyle.fill,g="";pc(v)?v.isNone?g="transparent":g=r.getAttribute("fill"):Array.isArray(v)?g=r.getAttribute("fill"):ys(v),i.style.background=g;break;case"stroke":var p=r.parsedStyle.stroke,y="";pc(p)?p.isNone?y="transparent":y=r.getAttribute("stroke"):Array.isArray(p)?y=r.getAttribute("stroke"):ys(p),i.style["border-color"]=y,i.style["border-style"]="solid";break;case"lineWidth":var b=r.parsedStyle.lineWidth;i.style["border-width"]="".concat(b||0,"px");break;case"lineDash":i.style["border-style"]="dashed";break;case"filter":var E=r.style.filter;i.style.filter=E;break;default:!me(r.style[e])&&r.style[e]!==""&&(i.style[e]=r.style[e])}}}])}();r1.tag="HTMLRendering";var Uk=function(n){function t(){var e;(0,N.Z)(this,t);for(var r=arguments.length,i=new Array(r),a=0;a0&&o[0]!==void 0?o[0]:{},a=i.type,s=i.encoderOptions,l.abrupt("return",this.context.canvas.toDataURL(a,s));case 1:case"end":return l.stop()}},r,this)}));function e(){return t.apply(this,arguments)}return e}()}])}(),Hk=function(n){function t(){var e;(0,N.Z)(this,t);for(var r=arguments.length,i=new Array(r),a=0;a{const r=this.context.canvas,i=r.context.renderingContext.root.ownerDocument.defaultView;this.normalizeToPointerEvent(e,i).forEach(s=>{const o=this.bootstrapEvent(this.rootPointerEvent,s,i,e);bl(r.context.eventService,"mappingTable.pointerupoutside",[]),r.context.eventService.mapEvent(o)})}}get eventService(){return this.context.canvas.context.eventService}get events(){return[Bt.CLICK,Bt.POINTER_DOWN,Bt.POINTER_MOVE,Bt.POINTER_UP,Bt.POINTER_OVER,Bt.POINTER_LEAVE]}getDomElement(){return this.getShape("key").getDomElement()}render(t=this.parsedAttributes,e=this){this.drawKeyShape(t,e),this.drawPortShapes(t,e)}getKeyStyle(t){const e=Bs(t,["dx","dy","innerHTML","pointerEvents","cursor"]),{dx:r=0,dy:i=0}=e,a=Qk(e,["dx","dy"]),[s,o]=this.getSize(t);return Object.assign(Object.assign({x:r,y:i},a),{width:s,height:o})}drawKeyShape(t,e){const r=this.getKeyStyle(t),{x:i,y:a,width:s=0,height:o=0}=r,l=this.upsert("key-container",gr,{x:i,y:a,width:s,height:o,opacity:0},e);return this.upsert("key",co,r,l)}connectedCallback(){if(!(this.context.canvas.getRenderer("main")instanceof Sl))return;const r=this.getDomElement();this.events.forEach(i=>{r.addEventListener(i,this.forwardEvents)})}attributeChangedCallback(t,e,r){t==="zIndex"&&e!==r&&(this.getDomElement().style.zIndex=r)}destroy(){const 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t==="descendant-count"?i.getDescendantsData(this.id).length.toString():t==="child-count"?r.length.toString():t==="node-count"?i.getDescendantsData(this.id).filter(a=>i.getElementType(At(a))==="node").length.toString():fe(t)?t(r):""}getComboPosition(t){const{x:e=0,y:r=0,collapsed:i,childrenData:a=[]}=t;if(a.length===0)return[+e,+r,0];if(i){const{model:s}=this.context,o=s.getDescendantsData(this.id).filter(l=>!s.isCombo(At(l)));if(o.length>0&&o.some(xN)){const l=o.reduce((c,u)=>Ne(c,ir(u)),[0,0,0]);return Ii(l,o.length)}return[+e,+r,0]}return this.getContentBBox(t).center}getComboStyle(t){const[e,r]=this.getComboPosition(t);return{x:e,y:r,transform:[["translate",e,r]]}}updateComboPosition(t){const 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f=l.src?sl:ni,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";(r=o.style[l])===null||r===void 0||r.destroy(),o.style[l]=null}}getArrowStyle(t,e){const r=this.getShape("key").attributes,i=e?"startArrow":"endArrow",a=Qn(this.getGraphicStyle(t),i),{size:s,type:o}=a,l=Ru(a,["size","type"]),[c,u]=si(x3(r.lineWidth,s)),d=(fe(o)?o:Z[o]||p1)(c,u);return Object.assign(Bs(r,["stroke","strokeOpacity","fillOpacity"]),{width:c,height:u},Object.assign({},d&&{d,fill:o==="simple"?"":r.stroke}),l)}drawLabelShape(t,e){const r=this.getLabelStyle(t);this.upsert("label",Wa,r,e)}drawHaloShape(t,e){const r=this.getHaloStyle(t);this.upsert("halo",ni,r,e)}drawBadgeShape(t,e){const r=this.getBadgeStyle(t);this.upsert("badge",po,r,e)}drawSourceArrow(t){this.drawArrow(t,"start")}drawTargetArrow(t){this.drawArrow(t,"end")}drawKeyShape(t,e){const r=this.getKeyStyle(t);return this.upsert("key",ni,r,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 r=super.animate(t,e);return r&&new Proxy(r,{set:(i,a,s)=>(a==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(i,a,s))})}}Va.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 Va{constructor(t){super(ur({style:Fs.defaultStyleProps},t))}getKeyPath(t){const[e,r]=this.getEndpoints(t),{controlPoints:i,curvePosition:a,curveOffset:s}=t,o=this.getControlPoints(e,r,d3(a),h3(s),i);return f1(e,r,o)}getControlPoints(t,e,r,i,a){return(a==null?void 0:a.length)===2?a:[hv(t,e,r[0],i[0]),hv(t,e,r[1],i[1])]}}Fs.defaultStyleProps={curvePosition:.5,curveOffset:20};class Lu extends Fs{constructor(t){super(ur({style:Lu.defaultStyleProps},t))}getControlPoints(t,e,r,i){const a=e[0]-t[0];return[[t[0]+a*r[0]+i[0],t[1]],[e[0]-a*r[1]+i[1],e[1]]]}}Lu.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class _u extends Fs{constructor(t){super(ur({style:_u.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=ir(this.ref),r=this.sourceNode.getIntersectPoint(e,!0),i=this.targetNode.getIntersectPoint(e);return[r,i]}toRadialCoordinate(t){const e=ir(this.ref),r=bn(t,e),i=wy(ln(t,e));return[r,i]}getControlPoints(t,e,r,i){const[a,s]=this.toRadialCoordinate(t),[o]=this.toRadialCoordinate(e),l=o-a;return[[t[0]+(l*r[0]+i[0])*Math.cos(s),t[1]+(l*r[0]+i[0])*Math.sin(s)],[e[0]-(l*r[1]-i[0])*Math.cos(s),e[1]-(l*r[1]-i[0])*Math.sin(s)]]}}_u.defaultStyleProps={curvePosition:.5,curveOffset:20};class Du extends Fs{constructor(t){super(ur({style:Du.defaultStyleProps},t))}getControlPoints(t,e,r,i){const a=e[1]-t[1];return[[t[0],t[1]+a*r[0]+i[0]],[e[0],e[1]-a*r[1]+i[1]]]}}Du.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class Iu extends Va{constructor(t){super(ur({style:Iu.defaultStyleProps},t))}getKeyPath(t){const[e,r]=this.getEndpoints(t);return[["M",e[0],e[1]],["L",r[0],r[1]]]}}Iu.defaultStyleProps={};const O3={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:uu},ba=n=>`${Math.round(n[0])}|||${Math.round(n[1])}`;function zs(n,t){const e=r=>Math.round(r/t);return ie(n)?e(n):n.map(e)}function C3(n,t){const e=Math.abs(n-t);return e>Math.PI?2*Math.PI-e:e}function m1(n,t){const e=t[0]-n[0],r=t[1]-n[1];return!e&&!r?0:Math.atan2(r,e)}function y1(n,t,e,r){const i=m1(n,t),a=e[ba(n)],o=m1(a||r,n);return C3(o,i)}const N3=(n,t)=>{const{offset:e,gridSize:r}=t,i={};return n.forEach(a=>{if(!a||a.destroyed||!a.isVisible())return;const s=Fa(a.getRenderBounds(),e);for(let o=zs(s.min[0],r);o<=zs(s.max[0],r);o+=1)for(let l=zs(s.min[1],r);l<=zs(s.max[1],r);l+=1)i[`${o}|||${l}`]=!0}),i};function b1(n,t,e){return Math.min(...t.map(r=>e(n,r)))}function k3(n,t,e){let r=n[0],i=e(n[0],t);for(let a=0;a{if(!t)return[n];const{directionMap:i,offset:a}=r,s=Fa(t.getRenderBounds(),a),o=Object.keys(i).reduce((l,c)=>{if(e.includes(c)){const u=i[c],[h,d]=Ia(s),f=[n[0]+u.stepX*h,n[1]+u.stepY*d],v=kO(s);for(let g=0;gzs(l,r.gridSize))},P3=(n,t,e,r,i,a,s)=>{const o=[];let l=[a[0]===r[0]?r[0]:n[0]*s,a[1]===r[1]?r[1]:n[1]*s];o.unshift(l);let c=n,u=t[ba(c)];for(;u;){const f=u,v=c;y1(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=k3(h,l,uu);return o.unshift(d),o};function R3(n,t,e,r){const i=Rs(n.getCenter()),a=Rs(t.getCenter()),s=Object.assign(O3,r),{gridSize:o}=s,l=s.enableObstacleAvoidance?e:[n,t],c=N3(l,s),u=zs(i,o),h=zs(a,o),d=x1(i,n,s.startDirections,s),f=x1(a,t,s.endDirections,s);d.forEach(I=>delete c[ba(I)]),f.forEach(I=>delete c[ba(I)]);const v={},g={},p={},y={},b={},E=new L3;for(let I=0;Iba(I));let P=s.maximumLoops,L,F=1/0;for(const[I,V]of Object.entries(v))b[I]<=F&&(F=b[I],L=V);for(;Object.keys(v).length>0&&P>0;){const I=E.minId(!1);if(I)L=v[I];else break;const V=ba(L);if(O.includes(V))return P3(L,p,u,a,d,h,o);delete v[V],E.remove(V),g[V]=!0;for(const Y of Object.values(s.directionMap)){const J=Ne(L,[Y.stepX,Y.stepY]),$=ba(J);if(g[$])continue;const ot=y1(L,J,p,u);if(ot>s.maxAllowedDirectionChange||c[$])continue;v[$]||(v[$]=J);const ct=s.penalties[ot],ft=s.distFunc(L,J)+(isNaN(ct)?o:ct),Nt=y[V]+ft,Ot=y[$];Ot&&Nt>=Ot||(p[$]=L,y[$]=Nt,b[$]=Nt+b1(J,f,s.distFunc),E.add({id:$,value:b[$]}))}P-=1}return[]}class L3{constructor(){this.arr=[],this.map={},this.arr=[],this.map={}}_innerAdd(t,e){let r=0,i=e-1;for(;i-r>1;){const a=Math.floor((r+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 Bu extends Va{constructor(t){super(ur({style:Bu.defaultStyleProps},t))}getControlPoints(t){const{router:e}=t,{sourceNode:r,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=R3(r,i,l,e),o.length||(o=o1(a,s,r,i,t.controlPoints,{padding:e.offset}))}else e.type==="orth"&&(o=o1(a,s,r,i,t.controlPoints,e));return o}getPoints(t){const e=this.getControlPoints(t),[r,i]=this.getEndpoints(t,!0,e);return[r,...e,i]}getKeyPath(t){const e=this.getPoints(t);return dv(e,t.radius)}getLoopPath(t){const{sourcePort:e,targetPort:r,radius:i}=t,a=this.sourceNode,s=Ba(a),o=Math.max(ta(s),ea(s))/4,{placement:l,clockwise:c,dist:u=o}=Qn(this.getGraphicStyle(t),"loop");return y3(a,i,l,c,u,e,r)}}Bu.defaultStyleProps={radius:0,controlPoints:[],router:!1};class Fu extends Va{constructor(t){super(ur({style:Fu.defaultStyleProps},t))}getKeyPath(t){const{curvePosition:e,curveOffset:r}=t,[i,a]=this.getEndpoints(t),s=t.controlPoint||hv(i,a,e,r);return f3(i,a,s)}}Fu.defaultStyleProps={curvePosition:.5,curveOffset:30};var _3=function(n,t){var e={};for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&t.indexOf(r)<0&&(e[r]=n[r]);if(n!=null&&typeof Object.getOwnPropertySymbols=="function")for(var i=0,r=Object.getOwnPropertySymbols(n);i{var a;const{key:s,placement:o}=r;w1(r)&&(t[a=s||i]||(t[a]=ma(n.getShape("key").getBounds(),o)))}),t}function w1(n){const{r:t}=n;return!t||Number(t)===0}function Ua(n){return fo(n)?n:n.getPosition()}function F3(n,t,e,r){const i=S1(n,t,e,r),a=S1(t,n,r,e);return[i,a]}function S1(n,t,e,r){const i=pv(n);if(e)return i[e];const a=Object.values(i);if(a.length===0)return;const s=a.map(c=>Ua(c)),o=z3(t,r),[l]=AN(s,o);return a.find(c=>Ua(c)===l)}function z3(n,t){const e=pv(n);if(t)return[Ua(e[t])];const r=Object.values(e);return r.length>0?r.map(i=>Ua(i)):[n.getCenter()]}function M1(n,t){return vv(n)||Al(n)?mv(n,t):Tl(n,t)}function Tl(n,t){if(!n||!t)return[0,0,0];if(fo(n))return n;if(n.attributes.linkToCenter)return n.getPosition();const e=fo(t)?t:Al(t)?t.getCenter():t.getPosition();return du(e,n.getBounds())}function mv(n,t){if(!n||!t)return[0,0,0];const e=fo(t)?t:Al(t)?t.getCenter():t.getPosition();return n.getIntersectPoint(e)||n.getCenter()}function A1(n,t="bottom",e=0,r=0,i=!1){const a=t.split("-"),[s,o]=ma(n,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+r]],textBaseline:u,textAlign:h}}function j3(n,t){return[[0,-n],[t*Math.cos(3*Math.PI/10),-t*Math.sin(3*Math.PI/10)],[n*Math.cos(Math.PI/10),-n*Math.sin(Math.PI/10)],[t*Math.cos(Math.PI/10),t*Math.sin(Math.PI/10)],[n*Math.cos(3*Math.PI/10),n*Math.sin(3*Math.PI/10)],[0,t],[-n*Math.cos(3*Math.PI/10),n*Math.sin(3*Math.PI/10)],[-t*Math.cos(Math.PI/10),t*Math.sin(Math.PI/10)],[-n*Math.cos(Math.PI/10),-n*Math.sin(Math.PI/10)],[-t*Math.cos(3*Math.PI/10),-t*Math.sin(3*Math.PI/10)]]}function Z3(n,t){const e={};return e.top=[0,-n],e.left=[-n*Math.cos(Math.PI/10),-n*Math.sin(Math.PI/10)],e["left-bottom"]=[-n*Math.cos(3*Math.PI/10),n*Math.sin(3*Math.PI/10)],e.bottom=[0,t],e["right-bottom"]=[n*Math.cos(3*Math.PI/10),n*Math.sin(3*Math.PI/10)],e.right=e.default=[n*Math.cos(Math.PI/10),-n*Math.sin(Math.PI/10)],e}function W3(n,t,e){const r=t/2,i=n/2,a={up:[[-i,r],[i,r],[0,-r]],left:[[-i,0],[i,r],[i,-r]],right:[[-i,r],[-i,-r],[i,0]],down:[[-i,-r],[i,-r],[0,r]]};return a[e]||a.up}function G3(n,t,e){const r=t/2,i=n/2,a={};return e==="down"?(a.bottom=a.default=[0,r],a.right=[i,-r],a.left=[-i,-r]):e==="left"?(a.top=[i,-r],a.bottom=[i,r],a.left=a.default=[-i,0]):e==="right"?(a.top=[-i,-r],a.bottom=[-i,r],a.right=a.default=[i,0]):(a.left=[-i,r],a.top=a.default=[0,-r],a.right=[i,r]),a}function s7(n,t){return[[n/2,-t/2],[n/2,t/2],[-n/2,t/2],[-n/2,-t/2]]}function V3(n,t){return[[0,-t/2],[n/2,0],[0,t/2],[-n/2,0]]}function T1(n){return yr(n,["style","visibility"])!=="hidden"}function U3(n,t){const{zIndex:e,transform:r,transformOrigin:i,visibility:a,cursor:s,clipPath:o,component:l}=t,c=_3(t,["zIndex","transform","transformOrigin","visibility","cursor","clipPath","component"]);Object.assign(n.attributes,c),r&&n.setAttribute("transform",r),ie(e)&&n.setAttribute("zIndex",e),i&&n.setAttribute("transformOrigin",i),a&&n.setAttribute("visibility",a),s&&n.setAttribute("cursor",s),o&&n.setAttribute("clipPath",o),l&&n.setAttribute("component",l)}function yv(n,t){"update"in n?n.update(t):n.attr(t)}function Y3(n){return[[0,n],[n*Math.sqrt(3)/2,n/2],[n*Math.sqrt(3)/2,-n/2],[0,-n],[-n*Math.sqrt(3)/2,-n/2],[-n*Math.sqrt(3)/2,n/2]]}function H3(n){bl(n,"__to_be_destroyed__",!0)}function Ol(n){return yr(n,"__to_be_destroyed__",!1)}var X3=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class zu extends ai{constructor(t,e){super(t,Object.assign({},zu.defaultOptions,e)),this.onCollapseExpand=r=>X3(this,void 0,void 0,function*(){if(!this.validate(r))return;const{target:i}=r;if(!D3(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;Kr(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()}}zu.defaultOptions={enable:!0,animation:!0,trigger:Bt.DBLCLICK,align:!0};var ju={},K3=function(n){return n=n||"g",ju[n]?ju[n]+=1:ju[n]=1,n+ju[n]},Zu=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};const Q3="g6-create-edge-assist-edge-id",Wu="g6-create-edge-assist-node-id";class Gu extends ai{constructor(t,e){super(t,Object.assign({},Gu.defaultOptions,e)),this.drop=r=>Zu(this,void 0,void 0,function*(){const{targetType:i}=r;["combo","node"].includes(i)&&this.source?yield this.handleCreateEdge(r):yield this.cancelEdge()}),this.handleCreateEdge=r=>Zu(this,void 0,void 0,function*(){var i,a,s;if(!this.validate(r))return;const{graph:o,canvas:l,batch:c,element:u}=this.context,{style:h}=this.options;if(this.source){this.createEdge(r),yield this.cancelEdge();return}c.startBatch(),l.setCursor("crosshair"),this.source=this.getSelectedNodeIDs([r.target.id])[0];const d=o.getElementData(this.source);o.addNodeData([{id:Wu,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:Q3,source:this.source,target:Wu,style:Object.assign({pointerEvents:"none"},h)}]),yield(s=u.draw({animation:!1}))===null||s===void 0?void 0:s.finished}),this.updateAssistEdge=r=>Zu(this,void 0,void 0,function*(){var i;if(!this.source)return;const{model:a,element:s}=this.context;a.translateNodeTo(Wu,[r.canvas.x,r.canvas.y]),yield(i=s.draw({animation:!1,silence:!0}))===null||i===void 0?void 0:i.finished}),this.createEdge=r=>{var i,a;const{graph:s}=this.context,{style:o,onFinish:l,onCreate:c}=this.options;if(((i=r.target)===null||i===void 0?void 0:i.id)===void 0||this.source===void 0)return;const h=(a=this.getSelectedNodeIDs([r.target.id]))===null||a===void 0?void 0:a[0],d=`${this.source}-${h}-${K3()}`,f=c({id:d,source:this.source,target:h,style:o});f&&(s.addEdgeData([f]),l(f))},this.cancelEdge=()=>Zu(this,void 0,void 0,function*(){var r;if(!this.source)return;const{graph:i,element:a,batch:s}=this.context;i.removeNodeData([Wu]),this.source=void 0,yield(r=a.draw({animation:!1}))===null||r===void 0?void 0:r.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(Hc.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(Hc.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()}}Gu.defaultOptions={animation:!0,enable:!0,style:{},trigger:"drag",onCreate:n=>n,onFinish:()=>{}};function q3(n,t,e){var r;return function(){var i=this,a=arguments,s=function(){r=null,e||n.apply(i,a)},o=e&&!r;clearTimeout(r),r=setTimeout(s,t),o&&n.apply(i,a)}}var Cl=q3,O1=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class Vu extends ai{constructor(t,e){super(t,Object.assign({},Vu.defaultOptions,e)),this.isDragging=!1,this.onDragStart=r=>{this.validate(r)&&(this.isDragging=!0,this.context.canvas.setCursor("grabbing"))},this.onDrag=r=>{var i,a,s,o;if(!this.isDragging||Wn.isPinching)return;const l=(a=(i=r.movement)===null||i===void 0?void 0:i.x)!==null&&a!==void 0?a:r.dx,c=(o=(s=r.movement)===null||s===void 0?void 0:s.y)!==null&&o!==void 0?o:r.dy;l|c&&this.translate([l,c],!1)},this.onDragEnd=()=>{var r,i;this.isDragging=!1,this.context.canvas.setCursor(this.defaultCursor),(i=(r=this.options).onFinish)===null||i===void 0||i.call(r)},this.invokeOnFinish=Cl(()=>{var r,i;(i=(r=this.options).onFinish)===null||i===void 0||i.call(r)},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:r=[],left:i=[],right:a=[]}=t;this.shortcut.bind(e,s=>this.onTranslate([0,1],s)),this.shortcut.bind(r,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 O1(this,void 0,void 0,function*(){if(!this.validate(e))return;const{sensitivity:r}=this.options,i=r*-1;yield this.translate(Di(t,i),this.options.animation),this.invokeOnFinish()})}translate(t,e){return O1(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 r=this.context.graph.getRotation();if(r%360===0)return[t,e];const i=r*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:r}=this.options;return r==="x"?e=0:r==="y"&&(t=0),[t,e]}clampByRange([t,e]){const{viewport:r,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=Fa(kf(r.getCanvasCenter()),h),f=ln(r.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()}}Vu.defaultOptions={enable:n=>"targetType"in n?n.targetType==="canvas":!0,sensitivity:10,direction:"both",range:1/0};var C1=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class Nl extends ai{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=r=>C1(this,void 0,void 0,function*(){var i;if(this.options.dropEffect!=="link")return;const{model:a,element:s}=this.context,o=r.target.id;this.target.forEach(l=>{const c=a.getParentData(l,dn);c&&At(c)===o&&a.refreshComboData(o),a.setParent(l,o,dn)}),yield(i=s==null?void 0:s.draw({animation:!0}))===null||i===void 0?void 0:i.finished}),this.setCursor=r=>{if(this.isDragging)return;const{type:i}=r,{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,r=e.getLayer().getContextService().$canvas;r&&(r.addEventListener("blur",this.onDragEnd),r.addEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(i=>{t.on(`${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:r,canvas:i,graph:a}=this.context;i.setCursor(((e=this.options.cursor)===null||e===void 0?void 0:e.grabbing)||"grabbing"),this.isDragging=!0,r.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,r;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]=ln([+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(((r=this.options.cursor)===null||r===void 0?void 0:r.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 C1(this,void 0,void 0,function*(){const{graph:r,model:i}=this.context,{dropEffect:a}=this.options;a==="move"&&t.forEach(s=>i.refreshComboData(s)),r.translateElementBy(Object.fromEntries(t.map(s=>[s,e])),!1)})}moveShadow(t){if(!this.shadow)return;const{x:e=0,y:r=0}=this.shadow.attributes,[i,a]=t;this.shadow.attr({x:+e+i,y:+r+a})}createShadow(t){const e=Qn(this.options,"shadow"),r=dl(t.map(c=>this.context.element.getElement(c).getBounds())),[i,a]=r.min;this.shadowOrigin=[i,a];const[s,o]=Ia(r),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 gr({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:r}=this.context;t==="all"?this.hiddenEdges=r.getEdgeData().map(At):this.hiddenEdges=Array.from(new Set(this.target.map(i=>r.getRelatedEdgesData(i,t).map(At)).flat())),r.hideElement(this.hiddenEdges)}unbindEvents(){const{graph:t,canvas:e}=this.context,r=e.getLayer().getContextService().$canvas;r&&(r.removeEventListener("blur",this.onDragEnd),r.removeEventListener("contextmenu",this.onDragEnd)),this.enableElements.forEach(i=>{t.off(`${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:n=>["node","combo"].includes(n.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 J3="*",$3=function(){function n(){this._events={}}return n.prototype.on=function(t,e,r){return this._events[t]||(this._events[t]=[]),this._events[t].push({callback:e,once:!!r}),this},n.prototype.once=function(t,e){return this.on(t,e,!0)},n.prototype.emit=function(t){for(var e=this,r=[],i=1;i{t.has(s.id)||(t.add(s.id),n.push(s))})}return!1}function Yu(n,t,e,r){if(e(n))return!0;t.add(n.id);for(const a of r(n.id))if(!t.has(a.id)&&Yu(a,t,e,r))return!0;return!1}const N1=()=>!0;class tP{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(r=>{const i=this.bothEdgesMap.get(r);if(i&&i.forEach(a=>e.add(a.id)),!this.hasNode(r))this.inEdgesMap.delete(r),this.outEdgesMap.delete(r),this.bothEdgesMap.delete(r),this.allNodesMap.delete(r);else{const a=this.graph.getRelatedEdges(r,"in").filter(this.edgeFilter),s=this.graph.getRelatedEdges(r,"out").filter(this.edgeFilter),o=Array.from(new Set([...a,...s]));o.forEach(l=>e.add(l.id)),this.inEdgesMap.set(r,a),this.outEdgesMap.set(r,s),this.bothEdgesMap.set(r,o),this.allNodesMap.set(r,this.graph.getNode(r))}}),e.forEach(r=>{this.hasEdge(r)?this.allEdgesMap.set(r,this.graph.getEdge(r)):this.allEdgesMap.delete(r)})});Cn(this,"handleGraphChanged",t=>{const e=new Set;t.changes.forEach(r=>{switch(r.type){case"NodeAdded":e.add(r.value.id);break;case"NodeDataUpdated":e.add(r.id);break;case"EdgeAdded":e.add(r.value.source),e.add(r.value.target);break;case"EdgeUpdated":(r.propertyName==="source"||r.propertyName==="target")&&(e.add(r.oldValue),e.add(r.newValue));break;case"EdgeDataUpdated":if(t.graph.hasEdge(r.id)){const i=t.graph.getEdge(r.id);e.add(i.source),e.add(i.target)}break;case"EdgeRemoved":e.add(r.value.source),e.add(r.value.target);break;case"NodeRemoved":e.add(r.value.id);break;default:break}}),this.updateCache(e)});this.graph=t.graph;const e=t.nodeFilter||N1,r=t.edgeFilter||N1;this.nodeFilter=e,this.edgeFilter=i=>{const{source:a,target:s}=this.graph.getEdgeDetail(i.id);return!e(a)||!e(s)?!1:r(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(r=>r.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 r=this.getRelatedEdges(t,"out").map(i=>this.getNode(i.target));return Array.from(new Set(r))}getPredecessors(t){const r=this.getRelatedEdges(t,"in").map(i=>this.getNode(i.source));return Array.from(new Set(r))}getNeighbors(t){const e=this.getPredecessors(t),r=this.getSuccessors(t);return Array.from(new Set([...e,...r]))}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 r=this.graph.getParent(t,e);return!r||!this.nodeFilter(r)?null:r}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,r="out"){const i={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[r];bv([this.getNode(t)],new Set,e,i)}dfs(t,e,r="out"){const i={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[r];Yu(this.getNode(t),new Set,e,i)}}class Vn extends Uu{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 r={graph:this,changes:e};this.emit("changed",r),this.onChanged(r)}reduceChanges(e){let r=[];return e.forEach(i=>{switch(i.type){case"NodeRemoved":{let a=!1;r=r.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||r.push(i);break}case"EdgeRemoved":{let a=!1;r=r.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||r.push(i);break}case"NodeDataUpdated":case"EdgeDataUpdated":case"EdgeUpdated":{const a=r.findIndex(o=>o.type===i.type&&o.id===i.id&&(i.propertyName===void 0||o.propertyName===i.propertyName)),s=r[a];s?i.propertyName!==void 0?s.newValue=i.newValue:(r.splice(a,1),r.push(i)):r.push(i);break}case"TreeStructureDetached":{r=r.filter(a=>a.type==="TreeStructureAttached"||a.type==="TreeStructureChanged"?a.treeKey!==i.treeKey:!0),r.push(i);break}case"TreeStructureChanged":{const a=r.find(s=>s.type==="TreeStructureChanged"&&s.treeKey===i.treeKey&&s.nodeId===i.nodeId);a?a.newParentId=i.newParentId:r.push(i);break}default:r.push(i);break}}),r}checkNodeExistence(e){this.getNode(e)}hasNode(e){return this.nodeMap.has(e)}areNeighbors(e,r){return this.getNeighbors(r).some(i=>i.id===e)}getNode(e){const r=this.nodeMap.get(e);if(!r)throw new Error("Node not found for id: "+e);return r}getRelatedEdges(e,r){if(this.checkNodeExistence(e),r==="in"){const i=this.inEdgesMap.get(e);return Array.from(i)}else if(r==="out"){const i=this.outEdgesMap.get(e);return Array.from(i)}else{const i=this.bothEdgesMap.get(e);return Array.from(i)}}getDegree(e,r){return this.getRelatedEdges(e,r).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 r=this.getPredecessors(e),i=this.getSuccessors(e);return Array.from(new Set([...r,...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(r=>{r.childrenMap.set(e.id,new Set)}),this.changes.push({type:"NodeAdded",value:e})}addNodes(e){this.batch(()=>{for(const r of e)this.doAddNode(r)})}addNode(e){this.addNodes([e])}doRemoveNode(e){const r=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(r)),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:r})}removeNodes(e){this.batch(()=>{e.forEach(r=>this.doRemoveNode(r))})}removeNode(e){this.removeNodes([e])}updateNodeDataProperty(e,r,i){const a=this.getNode(e);this.batch(()=>{const s=a.data[r],o=i;a.data[r]=o,this.changes.push({type:"NodeDataUpdated",id:e,propertyName:r,oldValue:s,newValue:o})})}mergeNodeData(e,r){this.batch(()=>{Object.entries(r).forEach(([i,a])=>{this.updateNodeDataProperty(e,i,a)})})}updateNodeData(...e){const r=e[0],i=this.getNode(r);if(typeof e[1]=="string"){this.updateNodeDataProperty(r,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:r,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 r=this.getEdge(e);return{edge:r,source:this.getNode(r.source),target:this.getNode(r.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 r=this.inEdgesMap.get(e.target),i=this.outEdgesMap.get(e.source),a=this.bothEdgesMap.get(e.source),s=this.bothEdgesMap.get(e.target);r.add(e),i.add(e),a.add(e),s.add(e),this.changes.push({type:"EdgeAdded",value:e})}addEdges(e){this.batch(()=>{for(const r of e)this.doAddEdge(r)})}addEdge(e){this.addEdges([e])}doRemoveEdge(e){const r=this.getEdge(e),i=this.outEdgesMap.get(r.source),a=this.inEdgesMap.get(r.target),s=this.bothEdgesMap.get(r.source),o=this.bothEdgesMap.get(r.target);i.delete(r),a.delete(r),s.delete(r),o.delete(r),this.edgeMap.delete(e),this.changes.push({type:"EdgeRemoved",value:r})}removeEdges(e){this.batch(()=>{e.forEach(r=>this.doRemoveEdge(r))})}removeEdge(e){this.removeEdges([e])}updateEdgeSource(e,r){const i=this.getEdge(e);this.checkNodeExistence(r);const a=i.source,s=r;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=r,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:e,propertyName:"source",oldValue:a,newValue:s})})}updateEdgeTarget(e,r){const i=this.getEdge(e);this.checkNodeExistence(r);const a=i.target,s=r;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=r,this.batch(()=>{this.changes.push({type:"EdgeUpdated",id:e,propertyName:"target",oldValue:a,newValue:s})})}updateEdgeDataProperty(e,r,i){const a=this.getEdge(e);this.batch(()=>{const s=a.data[r],o=i;a.data[r]=o,this.changes.push({type:"EdgeDataUpdated",id:e,propertyName:r,oldValue:s,newValue:o})})}updateEdgeData(...e){const r=e[0],i=this.getEdge(r);if(typeof e[1]=="string"){this.updateEdgeDataProperty(r,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:r,oldValue:s,newValue:o})})}mergeEdgeData(e,r){this.batch(()=>{Object.entries(r).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,r){this.batch(()=>{this.attachTreeStructure(r);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,r)})})})}getRoots(e){return this.checkTreeExistence(e),this.getAllNodes().filter(r=>!this.getParent(r.id,e))}getChildren(e,r){this.checkNodeExistence(e),this.checkTreeExistence(r);const a=this.treeIndices.get(r).childrenMap.get(e);return Array.from(a||[])}getParent(e,r){return this.checkNodeExistence(e),this.checkTreeExistence(r),this.treeIndices.get(r).parentMap.get(e)||null}getAncestors(e,r){const i=[];let a=this.getNode(e),s;for(;s=this.getParent(a.id,r);)i.push(s),a=s;return i}setParent(e,r,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)===r)return;if(r==null){o&&((u=a.childrenMap.get(o.id))==null||u.delete(s)),a.parentMap.delete(e);return}const l=this.getNode(r);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,r,i){const a=s=>this.getChildren(s,i);return Yu(this.getNode(e),new Set,r,a)}bfsTree(e,r,i){const a=s=>this.getChildren(s,i);return bv([this.getNode(e)],new Set,r,a)}getAllNodes(){return Array.from(this.nodeMap.values())}getAllEdges(){return Array.from(this.edgeMap.values())}bfs(e,r,i="out"){const a={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[i];return bv([this.getNode(e)],new Set,r,a)}dfs(e,r,i="out"){const a={in:this.getPredecessors.bind(this),out:this.getSuccessors.bind(this),both:this.getNeighbors.bind(this)}[i];return Yu(this.getNode(e),new Set,r,a)}clone(){const e=this.getAllNodes().map(a=>Y0(Bo({},a),{data:Bo({},a.data)})),r=this.getAllEdges().map(a=>Y0(Bo({},a),{data:Bo({},a.data)})),i=new Vn({nodes:e,edges:r});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 tP(Bo({graph:this},e))}}class Hu{constructor(t,e){this.context=t,this.options=e||{}}}var eP=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})},nP=function(n,t){var e={};for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&t.indexOf(r)<0&&(e[r]=n[r]);if(n!=null&&typeof Object.getOwnPropertySymbols=="function")for(var i=0,r=Object.getOwnPropertySymbols(n);i{const a=i.data._isCombo?r.combos:r.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;r.edges.push({id:a,source:s,target:o,style:Object.assign({},c!=null&&c.length?{controlPoints:c.map(mr)}:{})})}),r}function aP(n,t){class e extends Hu{constructor(i,a){if(super(i,a),this.instance=new n({}),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 Xu(l)}}}execute(i,a){return eP(this,void 0,void 0,function*(){return Xu(yield this.instance.execute(this.graphData2LayoutModel(i),this.transformOptions(pr({},this.options,a))))})}transformOptions(i){if(!("onTick"in i))return i;const a=i.onTick;return i.onTick=s=>a(Xu(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=nP(f,["data","style","combo"]),E={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(E.data,{x:p.x}),p!=null&&p.y&&Object.assign(E.data,{y:p.y}),p!=null&&p.z&&Object.assign(E.data,{z:p.z}),E}),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(dn)&&(d.attachTreeStructure(dn),l.forEach(f=>{const v=t.model.model.getParent(f.id,dn);v&&d.hasNode(v.id)&&d.setParent(f.id,v.id,dn)})),d}}return e}function xv(n,t,...e){if(t in n)return n[t](...e);if("instance"in n){const r=n.instance;if(t in r)return r[t](...e)}return null}function k1(n,t){if(t in n)return n[t];if("instance"in n){const e=n.instance;if(t in e)return e[t]}return null}var sP=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class oP 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):(Xr.warn("DragElementForce only works with d3-force or d3-force-3d layout"),!1):!1}moveElement(t,e){return sP(this,void 0,void 0,function*(){const r=this.forceLayoutInstance;this.context.graph.getNodeData(t).forEach((i,a)=>{const{x:s=0,y:o=0}=i.style||{};r&&xv(r,"setFixedPosition",t[a],[...Ne([+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&&k1(e,"simulation").alphaTarget(.3).restart(),this.context.graph.getNodeData(this.target).forEach(r=>{const{x:i=0,y:a=0}=r.style||{};e&&xv(e,"setFixedPosition",At(r),[+i,+a])})}onDrag(t){if(!this.enable)return;const e=this.getDelta(t);this.moveElement(this.target,e)}onDragEnd(){const t=this.forceLayoutInstance;t&&k1(t,"simulation").alphaTarget(0),!this.options.fixed&&this.context.graph.getNodeData(this.target).forEach(e=>{t&&xv(t,"setFixedPosition",At(e),[null,null,null])})}}var P1=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class Ku extends ai{constructor(t,e){super(t,Object.assign({},Ku.defaultOptions,e)),this.isZoomEvent=r=>!!(r.data&&"scale"in r.data),this.relatedEdgeToUpdate=new Set,this.zoom=this.context.graph.getZoom(),this.fixElementSize=r=>P1(this,void 0,void 0,function*(){if(!this.validate(r))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(r)?this.zoom=Math.max(.01,Math.min(r.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=(r,i,a)=>{var s;const o=this.cachedStyles.get(r)||[],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(r,[...o.filter(c=>c.shape!==i),{shape:i,style:l}])),l[a]},this.scaleEntireElement=(r,i,a)=>{i.setLocalScale(1/a);const s=this.cachedStyles.get(r)||[];s.push({shape:i}),this.cachedStyles.set(r,s)},this.scaleSpecificShapes=(r,i,a)=>{const s=qN(r);(Array.isArray(a)?a:[a]).forEach(l=>{const{shape:c,fields:u}=l,h=typeof c=="function"?c(s):r.getShape(c);if(h){if(!u){this.scaleEntireElement(r.id,h,i);return}u.forEach(d=>{const f=this.getOriginalFieldValue(r.id,h,d);ie(f)&&(h.style[d]=f/i)})}})},this.skipIfExceedViewport=r=>{const{viewport:i}=this.context;return!(i!=null&&i.isInViewport(r.getRenderBounds(),!1,30))},this.fixNodeLike=(r,i)=>{const a=At(r),{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=(r,i)=>{const a=At(r),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:r}=this.context;this.relatedEdgeToUpdate.size>0&&this.relatedEdgeToUpdate.forEach(i=>{const a=r.getElement(i);a==null||a.update({})}),this.relatedEdgeToUpdate.clear()},this.resetTransform=r=>P1(this,void 0,void 0,function*(){var i;!((i=r.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,r=Object.keys(Object.fromEntries(this.cachedStyles)).filter(i=>i&&t.getElementType(i)==="node");if(r.length>0){const i=new Set;r.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()}}Ku.defaultOptions={enable:n=>n.data.scale<1,nodeFilter:()=>!0,edgeFilter:()=>!0,comboFilter:()=>!0,edge:[{shape:"key",fields:["lineWidth"]},{shape:"halo",fields:["lineWidth"]},{shape:"label"}],reset:!1};var lP=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class Qu extends ai{constructor(t,e){super(t,Object.assign({},Qu.defaultOptions,e)),this.focus=r=>lP(this,void 0,void 0,function*(){if(!this.validate(r))return;const{graph:i}=this.context;yield i.focusElement(r.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}:${Bt.CLICK}`,this.focus)})}destroy(){this.unbindEvents(),super.destroy()}}Qu.defaultOptions={animation:{easing:"ease-in",duration:500},enable:!0};class qu extends ai{constructor(t,e){super(t,Object.assign({},qu.defaultOptions,e)),this.isFrozen=!1,this.toggleFrozen=r=>{this.isFrozen=r.type==="dragstart"},this.hoverElement=r=>{if(!this.validate(r))return;const i=r.type===Bt.POINTER_ENTER;this.updateElementsState(r,i);const{onHover:a,onHoverEnd:s}=this.options;i?a==null||a(r):s==null||s(r)},this.updateElementsState=(r,i)=>{if(!this.options.state&&!this.options.inactiveState)return;const{graph:a}=this.context,{state:s,animation:o,inactiveState:l}=this.options,c=this.getActiveIds(r),u={};if(s&&Object.assign(u,this.getElementsState(c,s,i)),l){const h=my(a.getData(),!0).filter(d=>!c.includes(d));Object.assign(u,this.getElementsState(h,l,i))}a.setElementState(u,o)},this.getElementsState=(r,i,a)=>{const{graph:s}=this.context,o={};return r.forEach(l=>{const c=s.getElementState(l);a?o[l]=c.includes(i)?c:[...c,i]:o[l]=c.filter(u=>u!==i)}),o},this.bindEvents()}bindEvents(){const{graph:t}=this.context;this.unbindEvents(),Ls.forEach(r=>{t.on(`${r}:${Bt.POINTER_ENTER}`,this.hoverElement),t.on(`${r}:${Bt.POINTER_LEAVE}`,this.hoverElement)});const e=this.context.canvas.document;e.addEventListener(`${Bt.DRAG_START}`,this.toggleFrozen),e.addEventListener(`${Bt.DRAG_END}`,this.toggleFrozen)}getActiveIds(t){const{graph:e}=this.context,{degree:r,direction:i}=this.options,a=t.target.id;return r?Ly(e,t.targetType,a,typeof r=="function"?r(t):r,i):[a]}validate(t){if(this.destroyed||this.isFrozen||Ol(t.target)||this.context.graph.isCollapsingExpanding)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}unbindEvents(){const{graph:t}=this.context;Ls.forEach(r=>{t.off(`${r}:${Bt.POINTER_ENTER}`,this.hoverElement),t.off(`${r}:${Bt.POINTER_LEAVE}`,this.hoverElement)});const e=this.context.canvas.document;e.removeEventListener(`${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 cP extends yl{onPointerDown(t){if(!super.validate(t)||!super.isKeydown()||this.points)return;const{canvas:e}=this.context;this.pathShape=new ni({id:"g6-lasso-select",style:this.options.style}),e.appendChild(this.pathShape),this.points=[fu(t)]}onPointerMove(t){var e;if(!this.points)return;const{immediately:r,mode:i}=this.options;this.points.push(fu(t)),(e=this.pathShape)===null||e===void 0||e.setAttribute("d",YN(this.points)),r&&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 Ju extends ai{constructor(t,e){super(t,Object.assign({},Ju.defaultOptions,e)),this.hiddenShapes=[],this.isVisible=!0,this.setElementsVisibility=(r,i,a)=>{r.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=(r,i)=>{if(fe(i))return s=>!i(r,s);const a=i==null?void 0:i[r];return s=>s.className?!(a!=null&&a.includes(s.className)):!0},this.hideShapes=r=>{if(!this.validate(r)||!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(r=>{if(!this.validate(r)||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()}}Ju.defaultOptions={enable:!0,debounce:200,shapes:n=>n==="node"};var R1=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class $u extends ai{constructor(t,e){super(t,Object.assign({},$u.defaultOptions,e)),this.onWheel=r=>R1(this,void 0,void 0,function*(){this.options.preventDefault&&r.preventDefault();const i=r.deltaX,a=r.deltaY;yield this.scroll([-i,-a],r)}),this.shortcut=new go(t.graph),this.bindEvents()}update(t){super.update(t),this.bindEvents()}bindEvents(){var t,e;const{trigger:r}=this.options;if(this.shortcut.unbindAll(),Fn(r)){(t=this.graphDom)===null||t===void 0||t.removeEventListener(Bt.WHEEL,this.onWheel);const{up:i=[],down:a=[],left:s=[],right:o=[]}=r;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=Di(t,e),t=this.clampByDirection(t),t=this.clampByRange(t),t}clampByDirection([t,e]){const{direction:r}=this.options;return r==="x"?e=0:r==="y"&&(t=0),[t,e]}clampByRange([t,e]){const{viewport:r,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=Fa(kf(r.getCanvasCenter()),h),f=ln(r.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 R1(this,void 0,void 0,function*(){if(!this.validate(e))return;const{onFinish:r}=this.options,i=this.context.graph,a=this.formatDisplacement(t);yield i.translateBy(a,!1),r==null||r()})}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()}}$u.defaultOptions={enable:!0,sensitivity:1,preventDefault:!0,range:1/0};var L1=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class th extends ai{constructor(t,e){super(t,Object.assign({},th.defaultOptions,e)),this.zoom=(r,i,a)=>L1(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=mr(i.viewport));const{sensitivity:l,onFinish:c}=this.options,u=1+kn(r,-50,50)*l/100,h=s.getZoom();yield s.zoomTo(h*u,a,o),c==null||c()}),this.onReset=()=>L1(this,void 0,void 0,function*(){yield this.context.graph.zoomTo(1,this.options.animation)}),this.preventDefault=r=>{this.options.preventDefault&&r.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],r=>{const{deltaX:i,deltaY:a}=r;this.zoom(-(a!=null?a:i),r,!1)})}if(typeof t=="object"){const{zoomIn:e=[],zoomOut:r=[],reset:i=[]}=t;this.shortcut.bind(e,a=>this.zoom(10,a,this.options.animation)),this.shortcut.bind(r,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()}}th.defaultOptions={animation:{duration:200},enable:!0,sensitivity:1,trigger:[],preventDefault:!0};var eh=S(13722);const uP=(n,t)=>{if(n!=="next"&&n!=="prev")return t},_1=n=>{n.prev.next=n.next,n.next.prev=n.prev,delete n.next,delete n.prev};class hP{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 _1(e),e}enqueue(t){const e=this.shortcut;t.prev&&t.next&&_1(t),t.next=e.next,e.next.prev=t,e.next=t,t.prev=e}toString(){const t=[],e=this.shortcut;let r=e.prev;for(;r!==e;)t.push(JSON.stringify(r,uP)),r=r==null?void 0:r.prev;return`[${t.join(", ")}]`}}class dP extends hP{}const fP=()=>1,vP=(n,t)=>{var e;if(n.getAllNodes().length<=1)return[];const r=pP(n,t||fP);return(e=gP(r.graph,r.buckets,r.zeroIdx).map(a=>n.getRelatedEdges(a.v,"out").filter(({target:s})=>s===a.w)))===null||e===void 0?void 0:e.flat()},gP=(n,t,e)=>{let r=[];const i=t[t.length-1],a=t[0];let s;for(;n.getAllNodes().length;){for(;s=a.dequeue();)Ev(n,t,e,s);for(;s=i.dequeue();)Ev(n,t,e,s);if(n.getAllNodes().length){for(let o=t.length-2;o>0;--o)if(s=t[o].dequeue(),s){r=r.concat(Ev(n,t,e,s,!0));break}}}return r},Ev=(n,t,e,r,i)=>{var a,s;const o=[];return n.hasNode(r.v)&&((a=n.getRelatedEdges(r.v,"in"))===null||a===void 0||a.forEach(l=>{const c=l.data.weight,u=n.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,wv(t,e,Object.assign({v:u.id},u.data))}),(s=n.getRelatedEdges(r.v,"out"))===null||s===void 0||s.forEach(l=>{const c=l.data.weight,u=l.target,h=n.getNode(u);h.data.in===void 0&&(h.data.in=0),h.data.in-=c,wv(t,e,Object.assign({v:h.id},h.data))}),n.removeNode(r.v)),i?o:void 0},pP=(n,t)=>{const e=new Vn;let r=0,i=0;n.getAllNodes().forEach(l=>{e.addNode({id:l.id,data:{v:l.id,in:0,out:0}})}),n.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),r=Math.max(r,e.getNode(l.target).data.in+=u)});const a=[],s=i+r+3;for(let l=0;l{wv(a,o,Object.assign({v:l.id},e.getNode(l.id).data))}),{buckets:a,zeroIdx:o,graph:e}},wv=(n,t,e)=>{e.out?e.in?n[e.out-e.in+t].enqueue(e):n[n.length-1].enqueue(e):n[0].enqueue(e)},mP=(n,t)=>{const r=t==="greedy"?vP(n,(i=>a=>a.data.weight||1)(n)):yP(n);r==null||r.forEach(i=>{const a=i.data;n.removeEdge(i.id),a.forwardName=i.data.name,a.reversed=!0,n.addEdge({id:i.id,source:i.target,target:i.source,data:Object.assign({},a)})})},yP=n=>{const t=[],e={},r={},i=a=>{r[a]||(r[a]=!0,e[a]=!0,n.getRelatedEdges(a,"out").forEach(s=>{e[s.target]?t.push(s):i(s.target)}),delete e[a])};return n.getAllNodes().forEach(a=>i(a.id)),t},bP=n=>{n.getAllEdges().forEach(t=>{const e=t.data;if(e.reversed){n.removeEdge(t.id);const r=e.forwardName;delete e.reversed,delete e.forwardName,n.addEdge({id:t.id,source:t.target,target:t.source,data:Object.assign(Object.assign({},e),{forwardName:r})})}})},xP=(n,t)=>Number(n)-Number(t),bo=(n,t,e,r)=>{let i;do i=`${r}${Math.random()}`;while(n.hasNode(i));return e.dummy=t,n.addNode({id:i,data:e}),i},EP=n=>{const t=new Vn;return n.getAllNodes().forEach(e=>{t.addNode(Object.assign({},e))}),n.getAllEdges().forEach(e=>{const r=t.getRelatedEdges(e.source,"out").find(i=>i.target===e.target);r?t.updateEdgeData(r==null?void 0:r.id,Object.assign(Object.assign({},r.data),{weight:r.data.weight+e.data.weight||0,minlen:Math.max(r.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},D1=n=>{const t=new Vn;return n.getAllNodes().forEach(e=>{n.getChildren(e.id).length||t.addNode(Object.assign({},e))}),n.getAllEdges().forEach(e=>{t.addEdge(e)}),t},I1=(n,t)=>n==null?void 0:n.reduce((e,r,i)=>(e[r]=t[i],e),{}),c7=n=>{const t={};return n.getAllNodes().forEach(e=>{const r={};n.getRelatedEdges(e.id,"out").forEach(i=>{r[i.target]=(r[i.target]||0)+(i.data.weight||0)}),t[e.id]=r}),t},u7=n=>{const t=n.getAllNodes(),e=t.map(r=>{const i={};return n.getRelatedEdges(r.id,"in").forEach(a=>{i[a.source]=(i[a.source]||0)+a.data.weight}),i});return I1(t.map(r=>r.id),e)},B1=(n,t)=>{const e=Number(n.x),r=Number(n.y),i=Number(t.x)-e,a=Number(t.y)-r;let s=Number(n.width)/2,o=Number(n.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:r+c}},kl=n=>{const t=[],e=z1(n)+1;for(let r=0;r{const i=r.data.rank;i!==void 0&&t[i]&&t[i].push(r.id)});for(let r=0;rxP(n.getNode(i).data.order,n.getNode(a).data.order));return t},wP=n=>{const t=n.getAllNodes().filter(r=>r.data.rank!==void 0).map(r=>r.data.rank),e=Math.min(...t);n.getAllNodes().forEach(r=>{r.data.hasOwnProperty("rank")&&e!==1/0&&(r.data.rank-=e)})},SP=(n,t=0)=>{const e=n.getAllNodes(),r=e.filter(o=>o.data.rank!==void 0).map(o=>o.data.rank),i=Math.min(...r),a=[];e.forEach(o=>{const l=(o.data.rank||0)-i;a[l]||(a[l]=[]),a[l].push(o.id)});let s=0;for(let o=0;o{const u=n.getNode(c);u&&(u.data.rank=u.data.rank||0,u.data.rank+=s)}))}},F1=(n,t,e,r)=>{const i={width:0,height:0};return ie(e)&&ie(r)&&(i.rank=e,i.order=r),bo(n,"border",i,t)},z1=n=>{let t;return n.getAllNodes().forEach(e=>{const r=e.data.rank;r!==void 0&&(t===void 0||r>t)&&(t=r)}),t||(t=0),t},MP=(n,t)=>{const e={lhs:[],rhs:[]};return n==null||n.forEach(r=>{t(r)?e.lhs.push(r):e.rhs.push(r)}),e},Sv=(n,t)=>n.reduce((e,r)=>{const i=t(e),a=t(r);return i>a?r:e}),j1=(n,t,e,r,i,a)=>{r.includes(t.id)||(r.push(t.id),e||a.push(t.id),i(t.id).forEach(s=>j1(n,s,e,r,i,a)),e&&a.push(t.id))},Z1=(n,t,e,r)=>{const i=Array.isArray(t)?t:[t],a=l=>r?n.getSuccessors(l):n.getNeighbors(l),s=[],o=[];return i.forEach(l=>{if(n.hasNode(l.id))j1(n,l,e==="post",o,a,s);else throw new Error(`Graph does not have node: ${l}`)}),s},AP=n=>{const t=e=>{const r=n.getChildren(e),i=n.getNode(e);if(r!=null&&r.length&&r.forEach(a=>t(a.id)),i.data.hasOwnProperty("minRank")){i.data.borderLeft=[],i.data.borderRight=[];for(let a=i.data.minRank,s=i.data.maxRank+1;at(e.id))},W1=(n,t,e,r,i,a)=>{const s={rank:a,borderType:t,width:0,height:0},o=i.data[t][a-1],l=bo(n,"border",s,e);i.data[t][a]=l,n.setParent(l,r),o&&n.addEdge({id:`e${Math.random()}`,source:o,target:l,data:{weight:1}})},TP=(n,t)=>{const e=t.toLowerCase();(e==="lr"||e==="rl")&&G1(n)},OP=(n,t)=>{const e=t.toLowerCase();(e==="bt"||e==="rl")&&CP(n),(e==="lr"||e==="rl")&&(NP(n),G1(n))},G1=n=>{n.getAllNodes().forEach(t=>{V1(t)}),n.getAllEdges().forEach(t=>{V1(t)})},V1=n=>{const t=n.data.width;n.data.width=n.data.height,n.data.height=t},CP=n=>{n.getAllNodes().forEach(t=>{Mv(t.data)}),n.getAllEdges().forEach(t=>{var e;(e=t.data.points)===null||e===void 0||e.forEach(r=>Mv(r)),t.data.hasOwnProperty("y")&&Mv(t.data)})},Mv=n=>{n!=null&&n.y&&(n.y=-n.y)},NP=n=>{n.getAllNodes().forEach(t=>{Av(t.data)}),n.getAllEdges().forEach(t=>{var e;(e=t.data.points)===null||e===void 0||e.forEach(r=>Av(r)),t.data.hasOwnProperty("x")&&Av(t.data)})},Av=n=>{const t=n.x;n.x=n.y,n.y=t},kP=n=>{const t=bo(n,"root",{},"_root"),e=PP(n);let r=Math.max(...Object.values(e));Math.abs(r)===1/0&&(r=1);const i=r-1,a=2*i+1;n.getAllEdges().forEach(o=>{o.data.minlen*=a});const s=RP(n)+1;return n.getRoots().forEach(o=>{U1(n,t,a,s,i,e,o.id)}),{nestingRoot:t,nodeRankFactor:a}},U1=(n,t,e,r,i,a,s)=>{const o=n.getChildren(s);if(!(o!=null&&o.length)){s!==t&&n.addEdge({id:`e${Math.random()}`,source:t,target:s,data:{weight:0,minlen:e}});return}const 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r=t.source,i=n.getNode(r).data.rank;const a=t.target,s=n.getNode(a).data.rank,o=t.data.labelRank;if(s===i+1)return;n.removeEdge(t.id);let l,c,u;for(u=0,++i;i{t.forEach(e=>{let r=n.getNode(e);const{data:i}=r,a=i.originalEdge;let s;a&&n.addEdge(a);let o=e;for(;r.data.dummy;)s=n.getSuccessors(o)[0],n.removeNode(o),a.data.points.push({x:r.data.x,y:r.data.y}),r.data.dummy===Y1&&(a.data.x=r.data.x,a.data.y=r.data.y,a.data.width=r.data.width,a.data.height=r.data.height),o=s.id,r=n.getNode(o)})},FP=(n,t,e)=>{const r={};let i;e==null||e.forEach(a=>{let s=n.getParent(a),o,l;for(;s;){if(o=n.getParent(s.id),o?(l=r[o.id],r[o.id]=s.id):(l=i,i=s.id),l&&l!==s.id){t.hasNode(l)||t.addNode({id:l,data:{}}),t.hasNode(s.id)||t.addNode({id:s.id,data:{}}),t.hasEdge(`e${l}-${s.id}`)||t.addEdge({id:`e${l}-${s.id}`,source:l,target:s.id,data:{}});return}s=o}})},zP=(n,t,e)=>{const r=jP(n),i=new Vn({tree:[{id:r,children:[],data:{}}]});return n.getAllNodes().forEach(a=>{const 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t&&(ft.forEach(mt=>{e.mergeNodeData(mt.id,{x:mt.data.x,y:mt.data.y})}),Nt.forEach(mt=>{e.mergeEdgeData(mt.id,{controlPoints:mt.data.controlPoints})})),{nodes:ft,edges:Nt}})}}const KR=(n,t,e,r,i,a,s)=>{let o=(n==null?void 0:n.slice(1,n.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=r.indexOf(c),f=r[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=r.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=r[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=(n,t,e)=>{const r=n.getAllNodes(),i=n.getAllEdges();if(!(r!=null&&r.length))return{nodes:[],edges:i};if(r.length===1)return t&&n.mergeNodeData(r[0].id,{x:e[0],y:e[1]}),{nodes:[Object.assign(Object.assign({},r[0]),{data:Object.assign(Object.assign({},r[0].data),{x:e[0],y:e[1]})})],edges:i}},QR={radius:null,startRadius:null,endRadius:null,startAngle:0,endAngle:2*Math.PI,clockwise:!0,divisions:1,ordering:null,angleRatio:1};class qR{constructor(t={}){this.options=t,this.id="circular",this.options=Object.assign(Object.assign({},QR),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,r){return(0,G.mG)(this,void 0,void 0,function*(){const i=Object.assign(Object.assign({},this.options),r),{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,E,O]=$R(a,s,o),P=p==null?void 0:p.length;if(!P||P===1)return Zs(e,t,O);const L=(u-c)/P;let{radius:F,startRadius:I,endRadius:V}=i;if(v){const ct=js(10,v),ft=Cv(10,g);let Nt=-1/0;p.forEach(mt=>{const yt=ft(mt);Nt{yt===0?Ot+=Nt||10:Ot+=(ct(mt)||0)+(Nt||10)}),F=Ot/(2*Math.PI)}else!F&&!I&&!V?F=Math.min(E,b)/2:!I&&V?I=V:I&&!V&&(V=I);const Y=L*h;let J=[];d==="topology"?J=mb(e,p):d==="topology-directed"?J=mb(e,p,!0):d==="degree"?J=JR(e,p):J=p.map(ct=>li(ct));const $=Math.ceil(P/l);for(let ct=0;ct{e.mergeNodeData(ct.id,{x:ct.data.x,y:ct.data.y})}),{nodes:J,edges:y}})}}const mb=(n,t,e=!1)=>{const r=[li(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||n.getDegree(o.id,"both")!==n.getDegree(t[l+1].id,"both")||n.areNeighbors(r[s].id,o.id))&&!i[o.id])r.push(li(o)),i[o.id]=!0,s++;else{const c=e?n.getSuccessors(r[s].id):n.getNeighbors(r[s].id);let u=!1;for(let d=0;d{e.push(li(r))}),e.sort((r,i)=>n.getDegree(r.id,"both")-n.getDegree(i.id,"both")),e}const $R=(n,t,e)=>{let r=n,i=t,a=e;return!r&&typeof window!="undefined"&&(r=window.innerWidth),!i&&typeof window!="undefined"&&(i=window.innerHeight),a||(a=[r/2,i/2]),[r,i,a]},xa=Array.isArray,tL={nodeSize:30,nodeSpacing:10,preventOverlap:!1,sweep:void 0,equidistant:!1,startAngle:3/2*Math.PI,clockwise:!0,maxLevelDiff:void 0,sortBy:"degree"};class Pv{constructor(t={}){this.options=t,this.id="concentric",this.options=Object.assign(Object.assign({},tL),t)}execute(t,e){return(0,G.mG)(this,void 0,void 0,function*(){return this.genericConcentricLayout(!1,t,e)})}assign(t,e){return(0,G.mG)(this,void 0,void 0,function*(){yield this.genericConcentricLayout(!0,t,e)})}genericConcentricLayout(t,e,r){return(0,G.mG)(this,void 0,void 0,function*(){const i=Object.assign(Object.assign({},this.options),r),{center:a,width:s,height:o,sortBy:l,maxLevelDiff:c,sweep:u,clockwise:h,equidistant:d,preventOverlap:f,startAngle:v=3/2*Math.PI,nodeSize:g,nodeSpacing:p}=i,y=e.getAllNodes(),b=e.getAllEdges(),E=!s&&typeof window!="undefined"?window.innerWidth:s,O=!o&&typeof window!="undefined"?window.innerHeight:o,P=a||[E/2,O/2];if(!(y!=null&&y.length)||y.length===1)return Zs(e,t,P);const L=[];let F,I=0;xa(g)?F=Math.max(g[0],g[1]):fe(g)?(F=-1/0,y.forEach(mt=>{const yt=Math.max(...Pl(g(mt)));yt>F&&(F=yt)})):F=g,xa(p)?I=Math.max(p[0],p[1]):ie(p)&&(I=p),y.forEach(mt=>{const yt=li(mt);L.push(yt);let Rt=F;const{data:jt}=yt;xa(jt.size)?Rt=Math.max(jt.size[0],jt.size[1]):ie(jt.size)?Rt=jt.size:Fn(jt.size)&&(Rt=Math.max(jt.size.width,jt.size.height)),F=Math.max(F,Rt),fe(p)&&(I=Math.max(p(mt),I))});const V={};L.forEach((mt,yt)=>{V[mt.id]=yt});let Y=l;(!Ge(Y)||L[0].data[Y]===void 0)&&(Y="degree"),Y==="degree"?L.sort((mt,yt)=>e.getDegree(yt.id,"both")-e.getDegree(mt.id,"both")):L.sort((mt,yt)=>yt.data[Y]-mt.data[Y]);const J=L[0],$=(c||(Y==="degree"?e.getDegree(J.id,"both"):J.data[Y]))/4,ot=[{nodes:[]}];let ct=ot[0];L.forEach(mt=>{if(ct.nodes.length>0){const yt=Math.abs(Y==="degree"?e.getDegree(ct.nodes[0].id,"both")-e.getDegree(mt.id,"both"):ct.nodes[0].data[Y]-mt.data[Y]);$&&yt>=$&&(ct={nodes:[]},ot.push(ct))}ct.nodes.push(mt)});let ft=F+I;if(!f){const mt=ot.length>0&&ot[0].nodes.length>1,Rt=(Math.min(E,O)/2-ft)/(ot.length+(mt?1:0));ft=Math.min(ft,Rt)}let Nt=0;if(ot.forEach(mt=>{const yt=u===void 0?2*Math.PI-2*Math.PI/mt.nodes.length:u;if(mt.dTheta=yt/Math.max(1,mt.nodes.length-1),mt.nodes.length>1&&f){const Rt=Math.cos(mt.dTheta)-Math.cos(0),jt=Math.sin(mt.dTheta)-Math.sin(0),Xt=Math.sqrt(ft*ft/(Rt*Rt+jt*jt));Nt=Math.max(Xt,Nt)}mt.r=Nt,Nt+=ft}),d){let mt=0,yt=0;for(let Rt=0;Rt{jt===0&&(yt=Rt.r||0),Rt.r=yt,yt+=mt})}return ot.forEach(mt=>{const yt=mt.dTheta||0,Rt=mt.r||0;mt.nodes.forEach((jt,Xt)=>{const ee=v+(h?1:-1)*yt*Xt;jt.data.x=P[0]+Rt*Math.cos(ee),jt.data.y=P[1]+Rt*Math.sin(ee)})}),t&&L.forEach(mt=>e.mergeNodeData(mt.id,{x:mt.data.x,y:mt.data.y})),{nodes:L,edges:b}})}}var Rv=S(14301),eL=S(7695);const nL=.81,Lv=.1;function rL(n,t,e,r,i=2){const a=t/e,s=n.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,Rv.Z)(o,u=>u.x,u=>u.y):(0,eL.Z)(o,u=>u.x,u=>u.y,u=>u.z)).visitAfter(iL),c=new Map;return o.forEach(u=>{c.set(u.id,u),sL(u,l,i)}),o.map((u,h)=>{const{id:d,data:f}=s[h],{mass:v=1}=f;r[d]={x:u.vx/v,y:u.vy/v,z:u.vz/v}}),r}function iL(n){let t=0,e=0,r=0,i=0,a=0;const s=n.length;if(s){for(let o=0;o{var o;if(((o=n.data)===null||o===void 0?void 0:o.id)===a.id)return;const l=[e,r,i][s-1],c=a.x-n.x||Lv,u=a.y-n.y||Lv,h=a.z-n.z||Lv,d=[c,u,h],f=l-t;let v=0;for(let y=0;yaL(r,i,a,s,o,n,e))}const oL={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 yb{constructor(t={}){this.options=t,this.id="force",this.timeInterval=0,this.judgingDistance=0,this.running=!1,this.options=Object.assign(Object.assign({},oL),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 r=0;(this.judgingDistance>this.lastOptions.minMovement||r<1)&&rthis.lastGraph.mergeNodeData(r.id,{x:r.data.x,y:r.data.y,z:this.options.dimensions===3?r.data.z:void 0})),e}genericForceLayout(t,e,r){return(0,G.mG)(this,void 0,void 0,function*(){const i=Object.assign(Object.assign({},this.options),r),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((I,V)=>Object.assign(Object.assign({},I),{data:Object.assign(Object.assign({},I.data),{x:ie(I.data.x)?I.data.x:Math.random()*c,y:ie(I.data.y)?I.data.y:Math.random()*u,z:ie(I.data.z)?I.data.z:Math.random()*Math.sqrt(c*u),size:h(I)||30,mass:d(I),nodeStrength:f(I)})})),y=s.map(I=>Object.assign(Object.assign({},I),{data:Object.assign(Object.assign({},I.data),{edgeStrength:v(I),linkDistance:g(I,e.getNode(I.source),e.getNode(I.target))})}));if(!(a!=null&&a.length))return this.lastResult={nodes:[],edges:s},{nodes:[],edges:s};const b={};a.forEach((I,V)=>{b[I.id]={x:0,y:0,z:0}});const E=new Vn({nodes:p,edges:y});this.formatCentripetal(o,E);const{maxIteration:O,minMovement:P,onTick:L}=o;if(this.lastLayoutNodes=p,this.lastLayoutEdges=y,this.lastAssign=t,this.lastGraph=e,this.lastCalcGraph=E,this.lastOptions=o,this.lastVelMap=b,typeof window=="undefined")return;let F=0;return new Promise(I=>{this.timeInterval=window.setInterval(()=>{(!a||!this.running)&&I({nodes:_v(e,p),edges:s}),this.runOneStep(E,e,F,b,o),this.updatePosition(e,E,b,o),t&&p.forEach(V=>e.mergeNodeData(V.id,{x:V.data.x,y:V.data.y,z:l===3?V.data.z:void 0})),L==null||L({nodes:_v(e,p),edges:s}),F++,(F>=O||this.judgingDistance{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}),r.nodeSize=Nv(t.nodeSize,t.nodeSpacing);const o=t.linkDistance?js(1,t.linkDistance):l=>1+r.nodeSize(e.getNode(l.source))+r.nodeSize(e.getNode(l.target));return r.linkDistance=o,r.nodeStrength=js(1,t.nodeStrength),r.edgeStrength=js(1,t.edgeStrength),r}formatCentripetal(t,e){const{dimensions:r,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:r===3?a[2]:void 0})};typeof s!="function"&&(t.clusterNodeStrength=y=>s);let d,f;if(o&&c&&(d=bb(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:E}=d[y.id]||{};return(E==null?void 0:E.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 E;if(b===1){const{sameTypeLeaves:O=[]}=d[y.id]||{};O.length===1?E=void 0:O.length>1&&(E=xb(O))}else E=void 0;return{x:E==null?void 0:E.x,y:E==null?void 0:E.y,z:E==null?void 0:E.z}}})),l&&c){d||(d=bb(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 E=u.filter(O=>O.data[c]===b).map(O=>e.getNode(O.id));y[b]=xb(E)}),t.centripetalOptions=Object.assign(h,{single:b=>t.clusterNodeStrength(b),leaf:b=>t.clusterNodeStrength(b),others:b=>t.clusterNodeStrength(b),center:b=>{const E=y[b.data[c]];return{x:E==null?void 0:E.x,y:E==null?void 0:E.y,z:E==null?void 0:E.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,r,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:r})}}calTotalEnergy(t,e){if(!(e!=null&&e.length))return 0;let r=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;r+=u*c*.5}),r}calRepulsive(t,e,r){const{dimensions:i,factor:a,coulombDisScale:s}=r;rL(t,a,s*s,e,i)}calAttractive(t,e,r){const{dimensions:i,nodeSize:a}=r;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 g=Math.sqrt(d*d+f*f+v*v);if(g{const{id:g,data:p}=v,{mass:y,x:b,y:E,z:O}=p,P=e.getNode(g);let L=0,F=0,I=0,V=d;const Y=t.getDegree(g,"in"),J=t.getDegree(g,"out"),$=t.getDegree(g,"both"),ot=a==null?void 0:a(P,$);if(ot){const[ct,ft,Nt]=ot;L=b-ct,F=E-ft,V=Nt}else 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p=s/g;d=p*d,f=p*f,v=p*v}r[h]={x:d,y:f,z:v}})}updatePosition(t,e,r,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=r[h].x*s,v=r[h].y*s,g=o===3?r[h].z*s:0;e.mergeNodeData(h,{x:u.data.x+f,y:u.data.y+v,z:u.data.z+g});const p=Math.sqrt(f*f+v*v+g*g);switch(a){case"max":this.judgingDistancep&&(this.judgingDistance=p);break;default:c=c+p;break}}),(!a||a==="mean")&&(this.judgingDistance=c/l.length)}}const bb=(n,t)=>{const e=n.getAllNodes();if(!(e!=null&&e.length))return{};const r={};return e.forEach((i,a)=>{n.getDegree(i.id,"both")===1&&(r[i.id]=lL(n,"leaf",i,t))}),r},lL=(n,t,e,r)=>{const i=n.getDegree(e.id,"in"),a=n.getDegree(e.id,"out");let 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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,r=this.body.distanceTo(t);e/rli(y,[o,l])),v=i.filter(y=>{const{source:b,target:E}=y;return 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Promise(E=>{this.timeInterval=window.setInterval(()=>{if(!this.running){E({nodes:g,edges:v});return}this.runOneStep(p,y,i),t&&g.forEach(({id:O,data:P})=>e.mergeNodeData(O,{x:P.x,y:P.y,z:a===3?P.z:void 0})),d==null||d({nodes:g,edges:v}),b++,b>=h&&(window.clearInterval(this.timeInterval),E({nodes:g,edges:v}))},0),this.running=!0})})}formatOptions(t={}){const e=Object.assign(Object.assign({},this.options),t),{clustering:r,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=r&&!!i,e}runOneStep(t,e,r){const{dimensions:i,height:a,width:s,gravity:o,center:l,speed:c,clustering:u,nodeClusterBy:h,clusterGravity:d}=r,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:P}=O,L=e[P[h]];ie(P.x)&&(L.cx+=P.x),ie(P.y)&&(L.cy+=P.y),L.count++});for(const O in e)e[O].cx/=e[O].count,e[O].cy/=e[O].count;const E=d||o;g.forEach((O,P)=>{const{id:L,data:F}=O;if(!ie(F.x)||!ie(F.y))return;const I=e[F[h]],V=Math.sqrt((F.x-I.cx)*(F.x-I.cx)+(F.y-I.cy)*(F.y-I.cy)),Y=y*E;b[L].x-=Y*(F.x-I.cx)/V,b[L].y-=Y*(F.y-I.cy)/V})}g.forEach((E,O)=>{const{id:P,data:L}=E;if(!ie(L.x)||!ie(L.y))return;const F=.01*y*o;b[P].x-=F*(L.x-l[0]),b[P].y-=F*(L.y-l[1]),i===3&&(b[P].z-=F*(L.z-l[2]))}),g.forEach((E,O)=>{const{id:P,data:L}=E;if(ie(L.fx)&&ie(L.fy)){L.x=L.fx,L.y=L.fy,i===3&&(L.z=L.fz);return}if(!ie(L.x)||!ie(L.y))return;const F=Math.sqrt(b[P].x*b[P].x+b[P].y*b[P].y+(i===3?b[P].z*b[P].z:0));if(F>0){const I=Math.min(v*(c/GL),F);t.mergeNodeData(P,{x:L.x+b[P].x/F*I,y:L.y+b[P].y/F*I,z:i===3?L.z+b[P].z/F*I:void 0})}})}applyCalculate(t,e,r,i){this.calRepulsive(t,e,i),this.calAttractive(t,e,r)}calRepulsive(t,e,r){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=r/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,r){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)/r,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 UL={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 YL{constructor(t={}){this.options=t,this.id="grid",this.options=Object.assign(Object.assign({},UL),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,r){return(0,G.mG)(this,void 0,void 0,function*(){const i=Object.assign(Object.assign({},this.options),r),{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(),E=y==null?void 0:y.length;if(!E||E===1)return Zs(e,t,a);const O=y.map(ft=>li(ft));p!=="id"&&(!Ge(p)||O[0].data[p]===void 0)&&(p="degree"),p==="degree"?O.sort((ft,Nt)=>e.getDegree(Nt.id,"both")-e.getDegree(ft.id,"both")):p==="id"?O.sort((ft,Nt)=>ie(Nt.id)&&ie(ft.id)?Nt.id-ft.id:`${ft.id}`.localeCompare(`${Nt.id}`)):O.sort((ft,Nt)=>Nt.data[p]-ft.data[p]);const P=!f&&typeof window!="undefined"?window.innerWidth:f,L=!v&&typeof window!="undefined"?window.innerHeight:v,F=E,I={rows:c,cols:u};if(c!=null&&u!=null)I.rows=c,I.cols=u;else if(c!=null&&u==null)I.rows=c,I.cols=Math.ceil(F/I.rows);else if(c==null&&u!=null)I.cols=u,I.rows=Math.ceil(F/I.cols);else{const ft=Math.sqrt(F*L/P);I.rows=Math.round(ft),I.cols=Math.round(P/L*ft)}if(I.rows=Math.max(I.rows,1),I.cols=Math.max(I.cols,1),I.cols*I.rows>F){const ft=rh(I),Nt=ih(I);(ft-1)*Nt>=F?rh(I,ft-1):(Nt-1)*ft>=F&&ih(I,Nt-1)}else for(;I.cols*I.rows=F?ih(I,Nt+1):rh(I,ft+1)}let V=s?0:P/I.cols,Y=s?0:L/I.rows;if(l||h){const ft=js(10,h),Nt=Cv(30,d,!1);O.forEach(Ot=>{(!Ot.data.x||!Ot.data.y)&&(Ot.data.x=0,Ot.data.y=0);const mt=e.getNode(Ot.id),[yt,Rt]=Pl(Nt(mt)||30),jt=ft!==void 0?ft(Ot):o,Xt=yt+jt,ee=Rt+jt;V=Math.max(V,Xt),Y=Math.max(Y,ee)})}const J={},$={row:0,col:0},ot={};for(let ft=0;ft{e.mergeNodeData(ft.id,{x:ft.data.x,y:ft.data.y})}),ct})}}const rh=(n,t)=>{let e;const r=n.rows||5,i=n.cols||5;return t==null?e=Math.min(r,i):Math.min(r,i)===n.rows?n.rows=t:n.cols=t,e},ih=(n,t)=>{let e;const r=n.rows||5,i=n.cols||5;return t==null?e=Math.max(r,i):Math.max(r,i)===n.rows?n.rows=t:n.cols=t,e},Fv=(n,t)=>n[`c-${t.row}-${t.col}`]||!1,Pb=(n,t)=>n[`c-${t.row}-${t.col}`]=!0,Rb=(n,t)=>{const e=n.cols||5;t.col++,t.col>=e&&(t.col=0,t.row++)},HL=(n,t,e,r,i,a,s,o)=>{let l,c;const u=i[n.id];if(u)l=u.col*e+e/2+t[0],c=u.row*r+r/2+t[1];else{for(;Fv(o,s);)Rb(a,s);l=s.col*e+e/2+t[0],c=s.row*r+r/2+t[1],Pb(o,s),Rb(a,s)}n.data.x=l,n.data.y=c},XL=(n,t,e)=>{try{const r=Ha.mul(Ha.pow(t,2),-.5),i=r.mean("row"),a=r.mean("column"),s=r.mean();r.add(s).subRowVector(i).subColumnVector(a);const o=new Eb(r),l=Ha.sqrt(o.diagonalMatrix).diagonal();return o.leftSingularVectors.toJSON().map(c=>Ha.mul([c],[l]).toJSON()[0].splice(0,n))}catch(r){const i=[];for(let a=0;a{const e=Object.assign(Object.assign({},QL),t),{positions:r,iterations:i,width:a,k:s,speed:o=100,strictRadial:l,focusIdx:c,radii:u=[],nodeSizeFunc:h}=e,d=n.getAllNodes(),f=[],v=a/10;for(let g=0;g{f[y]={x:0,y:0}}),JL(d,r,f,s,u,h),$L(r,f,o,l,c,v,a,u);return r},JL=(n,t,e,r,i,a)=>{t.forEach((s,o)=>{e[o]={x:0,y:0},t.forEach((l,c)=>{if(o===c||i[o]!==i[c])return;let u=s.x-l.x,h=s.y-l.y,d=Math.sqrt(u*u+h*h);if(d===0){d=1;const f=o>c?1:-1;u=.01*f,h=.01*f}if(d{const l=a||s/10;return r&&t.forEach((c,u)=>{const h=n[u].x-n[i].x,d=n[u].y-n[i].y,f=Math.sqrt(h*h+d*d);let v=d/f,g=-h/f;const p=Math.sqrt(c.x*c.x+c.y*c.y);let y=Math.acos((v*c.x+g*c.y)/p);y>Math.PI/2&&(y-=Math.PI/2,v*=-1,g*=-1);const b=Math.cos(y)*p;c.x=v*b,c.y=g*b}),n.forEach((c,u)=>{if(u===i)return;const h=Math.sqrt(t[u].x*t[u].x+t[u].y*t[u].y);if(h>0&&u!==i){const d=Math.min(l*(e/KL),h);if(c.x+=t[u].x/h*d,c.y+=t[u].y/h*d,r){let f=c.x-n[i].x,v=c.y-n[i].y;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 r=Math.ceil(e/this.pixelGroup),i=this.boundX(t.x-r),a=this.boundY(t.y-r),s=this.boundX(t.x2+r),o=this.boundY(t.y2+r),l=s-i,c=o-a;return new Or(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,r){t<0||e<0||t>=this.width||e>=this.height||(this.area[t+e*this.width]+=r)}set(t,e,r){t<0||e<0||t>=this.width||e>=this.height||(this.area[t+e*this.width]=r)}incArea(t,e){if(t.width<=0||t.height<=0||e===0)return;const r=this.width,i=t.width,a=Math.max(0,t.i),s=Math.max(0,t.j),o=Math.min(t.i+t.width,r),l=Math.min(t.j+t.height,this.height);if(!(l<=0||o<=0||a>=r||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-r)/(i-r);t.scale(this.pixelGroup,this.pixelGroup);for(let s=0;se?"black":"white",t.fillRect(i,a,1,1)}t.restore()}}}function Fb(n,t){const e=r=>({x:r.x-t,y:r.y-t,width:r.width+2*t,height:r.height+2*t});return Array.isArray(n)?n.map(e):e(n)}function zb(n,t,e){return jb(Object.assign(Db(n),{distSquare:(r,i)=>Vv(n.x1,n.y1,n.x2,n.y2,r,i)}),t,e)}function jb(n,t,e){const r=Fb(n,e),i=t.scale(r),a=t.createSub(i,r);return T_(a,t,e,(s,o)=>n.distSquare(s,o)),a}function T_(n,t,e,r){const i=e*e;for(let a=0;a{const o=i.slice(0,s);return N_(t,a,o,e,r)}).flat()}function N_(n,t,e,r,i){const a=Sn(t.cx,t.cy),s=R_(a,e,n);if(s==null)return[];const o=new hr(a.x,a.y,s.cx,s.cy),l=k_(o,n,r,i);return P_(l,n)}function k_(n,t,e,r){const i=[],a=[];a.push(n);let s=!0;for(let o=0;o0;){const l=a.pop(),c=Zb(t,l),u=c?M_(l,c):null;if(!c||!u||u.count!==2){s||i.push(l);continue}let h=r,d=dh(c,h,u,!0),f=Qa(d,a)||Qa(d,i),v=hh(d,t);for(;!f&&v&&h>=1;)h/=1.5,d=dh(c,h,u,!0),f=Qa(d,a)||Qa(d,i),v=hh(d,t);if(d&&!f&&!v&&(a.push(new hr(l.x1,l.y1,d.x,d.y)),a.push(new hr(d.x,d.y,l.x2,l.y2)),s=!0),s)continue;h=r,d=dh(c,h,u,!1);let g=Qa(d,a)||Qa(d,i);for(v=hh(d,t);!g&&v&&h>=1;)h/=1.5,d=dh(c,h,u,!1),g=Qa(d,a)||Qa(d,i),v=hh(d,t);d&&!g&&(a.push(new hr(l.x1,l.y1,d.x,d.y)),a.push(new hr(d.x,d.y,l.x2,l.y2)),s=!0),s||i.push(l)}for(;a.length>0;)i.push(a.pop());return i}function P_(n,t){const e=[];for(;n.length>0;){const r=n.pop();if(n.length===0){e.push(r);break}const i=n.pop(),a=new hr(r.x1,r.y1,i.x2,i.y2);Zb(t,a)?(e.push(r),n.push(i)):n.push(a)}return e}function R_(n,t,e){let r=Number.POSITIVE_INFINITY;return t.reduce((i,a)=>{const s=Ka(n.x,n.y,a.cx,a.cy);if(s>r)return i;const o=new hr(n.x,n.y,a.cx,a.cy),l=__(e,o);return s*(l+1)*(l+1){t+=r.cx,e+=r.cy}),t/=n.length,e/=n.length,n.map(r=>{const i=t-r.cx,a=e-r.cy,s=i*i+a*a;return[r,s]}).sort((r,i)=>r[1]-i[1]).map(r=>r[0])}function hh(n,t){return t.some(e=>e.containsPt(n.x,n.y))}function Qa(n,t){return t.some(e=>!!(_b(e.x1,e.y1,n.x,n.y,.001)||_b(e.x2,e.y2,n.x,n.y,.001)))}function Zb(n,t){let e=Number.POSITIVE_INFINITY,r=null;for(const i of n){if(!Bb(i,t))continue;const a=S_(i,t);a>=0&&aBb(r,t)&&w_(r,t)?e+1:e,0)}function dh(n,t,e,r){const i=e.top,a=e.left,s=e.bottom,o=e.right;if(r){if(a.state===_n.POINT){if(i.state===_n.POINT)return Sn(n.x-t,n.y-t);if(s.state===_n.POINT)return Sn(n.x-t,n.y2+t);const d=n.width*n.height;return n.width*((a.y-n.y+(o.y-n.y))*.5)o.y?Sn(n.x-t,n.y-t):Sn(n.x2+t,n.y-t):a.ys.x?Sn(n.x-t,n.y-t):Sn(n.x-t,n.y2+t):i.xo.y?Sn(n.x2+t,n.y2+t):Sn(n.x-t,n.y2+t):a.ys.x?Sn(n.x2+t,n.y2+t):Sn(n.x2+t,n.y-t):i.xr)return!1}return!0}function I_(n=0){return t=>{if(n<0||t.length<3)return t;const e=[];let r=0;const i=n*n;for(;r{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=n,r=t.length;if(e>1)for(r=Math.floor(t.length/e);r<3&&e>1;)e-=1,r=Math.floor(t.length/e);const i=[];for(let a=0,s=0;s=r?this.closed?this.get(t-r):this.points[r-1]:this.points[e]}get length(){return this.points.length}toString(t=1/0){const e=this.points;if(e.length===0)return"";const r=typeof t=="function"?t:E_(t);let i="M";for(const a of e)i+=`${r(a.x)},${r(a.y)} L`;return i=i.slice(0,-1),this.closed&&(i+=" Z"),i}draw(t){const e=this.points;if(e.length!==0){t.beginPath(),t.moveTo(e[0].x,e[0].y);for(const r of e)t.lineTo(r.x,r.y);this.closed&&t.closePath()}}sample(t){return z_(t)(this)}simplify(t){return I_(t)(this)}bSplines(t){return F_(t)(this)}apply(t){return t(this)}containsElements(t){const e=A_(this.points);return e?t.every(r=>e.containsPt(r.cx,r.cy)&&this.withinArea(r.cx,r.cy)):!1}withinArea(t,e){if(this.length===0)return!1;let r=0;const i=this.points[0],a=new hr(i.x,i.y,i.x,i.y);for(let s=1;st?u+h:u}function a(l,c){let u=Rl;return u=i(l,c,u,1),u=i(l+1,c,u,2),u=i(l,c+1,u,4),u=i(l+1,c+1,u,8),Number.isNaN(u)?-1:u}let s=fh;function o(l,c){let u=l,h=c,d=n.invertScaleX(u),f=n.invertScaleY(h);for(let v=0;vWb(r.raw,t));return e<0?!1:(this.members.splice(e,1),this.dirty.add(zi.MEMBERS),!0)}removeNonMember(t){const e=this.nonMembers.findIndex(r=>Wb(r.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(r=>r.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)?uh.from(e):Or.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:hr.from(e),area:null})}}update(){const t=this.dirty.has(zi.MEMBERS),e=this.dirty.has(zi.NON_MEMBERS);let r=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=C_(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}}),r=!0}let a=!1;if(t||r){const c=this.virtualEdges.concat(this.edges).map(f=>f.obj),u=G_(i,c),h=Math.max(this.o.edgeR1,this.o.nodeR1)+this.o.morphBuffer,d=Or.from(Fb(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 Map,o=c=>{if(c.area){const u=`${c.obj.width}x${c.obj.height}x${c.obj instanceof Or?"R":"C"}`;s.set(u,c.area)}},l=c=>{if(c.area)return;const u=`${c.obj.width}x${c.obj.height}x${c.obj instanceof Or?"R":"C"}`;if(s.has(u)){const d=s.get(u);c.area=this.potentialArea.copy(d,{x:c.obj.x-this.o.nodeR1,y:c.obj.y-this.o.nodeR1});return}const h=c.obj instanceof Or?O_(c.obj,this.potentialArea,this.o.nodeR1):jb(c.obj,this.potentialArea,this.o.nodeR1);c.area=h,s.set(u,h)};this.members.forEach(o),this.nonMembers.forEach(o),this.members.forEach(l),this.nonMembers.forEach(c=>{this.activeRegion.intersects(c.obj)?l(c):c.area=null}),this.edges.forEach(c=>{c.area||(c.area=zb(c.obj,this.potentialArea,this.o.edgeR1))}),this.virtualEdges.forEach(c=>{c.area||(c.area=zb(c.obj,this.potentialArea,this.o.edgeR1))})}drawMembers(t){for(const e of this.members)e.obj.draw(t)}drawNonMembers(t){for(const e of this.nonMembers)e.obj.draw(t)}drawEdges(t){for(const e of this.edges)e.obj.draw(t)}drawPotentialArea(t,e=!0){this.potentialArea.draw(t,e)}compute(){if(this.members.length===0)return new Gs([]);this.dirty.size>0&&this.update();const{o:t,potentialArea:e}=this,r=this.members.map(o=>o.area),i=this.virtualEdges.concat(this.edges).map(o=>o.area),a=this.nonMembers.filter(o=>o.area!=null).map(o=>o.area),s=this.members.map(o=>o.obj);return W_(e,r,i,a,o=>o.containsElements(s),t)}}function W_(n,t,e,r,i,a={}){const s=Object.assign({},gh,a);let o=s.threshold,l=s.memberInfluenceFactor,c=s.edgeInfluenceFactor,u=s.nonMemberInfluenceFactor;const h=(s.nodeR0-s.nodeR1)*(s.nodeR0-s.nodeR1),d=(s.edgeR0-s.edgeR1)*(s.edgeR0-s.edgeR1);for(let f=0;f0)u*=.8;else break}return new Gs([])}function G_(n,t){if(n.length===0)return new Or(0,0,0,0);const e=Or.from(n[0]);for(const r of n)e.add(r);for(const r of t)e.add(Db(r));return e}function K7(n,t=[],e=[],r={}){if(n.length===0)return new Gs([]);const i=new Hv(r);return i.pushMember(...n),i.pushNonMember(...t),i.pushEdge(...e),i.compute()}var V_=function(n,t){var e={};for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&t.indexOf(r)<0&&(e[r]=n[r]);if(n!=null&&typeof Object.getOwnPropertySymbols=="function")for(var i=0,r=Object.getOwnPropertySymbols(n);i{const{style:r,bubbleSetOptions:i}=this.parseOptions();Zn(this.bubbleSetOptions,i)||this.init(),this.bubbleSetOptions=Object.assign({},i);const a=Object.assign(Object.assign({},r),{d:this.getPath()});this.shape?this.shape.update(a):(this.shape=new wl({style:a}),this.context.canvas.appendChild(this.shape))},this.updateBubbleSetsPath=r=>{if(!this.shape)return;const i=At(r.data);[...this.options.members,...this.options.avoidMembers].includes(i)&&this.shape.update(Object.assign(Object.assign({},this.parseOptions().style),{d:this.getPath(i)}))},this.getPath=r=>{const{graph:i}=this.context,a=this.options.members,s=[...this.members.keys()],o=this.options.avoidMembers,l=[...this.avoidMembers.keys()];if(!r&&Zn(a,s)&&Zn(o,l))return this.path;const{enter:c=[],exit:u=[]}=za(s,a,p=>p),{enter:h=[],exit:d=[]}=za(l,o,p=>p);r&&(u.push(r),c.push(r));const f=(p,y,b)=>{p.forEach(E=>{const O=b?this.members:this.avoidMembers,P=b?"pushMember":"pushNonMember",L=b?"removeMember":"removeNonMember";if(y){let F;i.getElementType(E)==="edge"?([F]=Y_(i,E),this.bubbleSets.pushEdge(F)):([F]=U_(i,E),this.bubbleSets[P](F)),O.set(E,F)}else{const F=O.get(E);F&&(i.getElementType(E)==="edge"?this.bubbleSets.removeEdge(F):this.bubbleSets[L](F),O.delete(E))}})};f(u,!1,!0),f(c,!0,!0),f(d,!1,!1),f(h,!0,!1);const g=this.bubbleSets.compute().sample(8).simplify(0).bSplines().simplify(0);return this.path=Vy(g.points.map(mr)),this.path},this.bindEvents(),this.bubbleSets=new Hv(this.options)}bindEvents(){this.context.graph.on(Kt.AFTER_RENDER,this.drawBubbleSets),this.context.graph.on(Kt.AFTER_ELEMENT_UPDATE,this.updateBubbleSetsPath)}init(){this.bubbleSets=new Hv(this.options),this.members=new Map,this.avoidMembers=new Map}parseOptions(){const t=this.options,{type:e,key:r,members:i,avoidMembers:a}=t,s=V_(t,["type","key","members","avoidMembers"]),o=Object.keys(s).reduce((l,c)=>(c in gh?l.bubbleSetOptions[c]=s[c]:l.style[c]=s[c],l),{style:{},bubbleSetOptions:{}});return Object.assign({type:e,key:r,members:i,avoidMembers:a},o)}addMember(t){const e=Array.isArray(t)?t:[t];e.some(r=>this.options.avoidMembers.includes(r))&&(this.options.avoidMembers=this.options.avoidMembers.filter(r=>!e.includes(r))),this.options.members=[...new Set([...this.options.members,...e])],this.drawBubbleSets()}removeMember(t){const e=Array.isArray(t)?t:[t];this.options.members=this.options.members.filter(r=>!e.includes(r)),this.drawBubbleSets()}updateMember(t){this.options.members=fe(t)?t(this.options.members):t,this.drawBubbleSets()}getMember(){return this.options.members}addAvoidMember(t){const e=Array.isArray(t)?t:[t];e.some(r=>this.options.members.includes(r))&&(this.options.members=this.options.members.filter(r=>!e.includes(r))),this.options.avoidMembers=[...new Set([...this.options.avoidMembers,...e])],this.drawBubbleSets()}removeAvoidMember(t){const e=Array.isArray(t)?t:[t];this.options.avoidMembers.some(r=>e.includes(r))&&(this.options.avoidMembers=this.options.avoidMembers.filter(r=>!e.includes(r)),this.drawBubbleSets())}updateAvoidMember(t){this.options.avoidMembers=Array.isArray(t)?t:[t],this.drawBubbleSets()}getAvoidMember(){return this.options.avoidMembers}destroy(){this.context.graph.off(Kt.AFTER_RENDER,this.drawBubbleSets),this.context.graph.off(Kt.AFTER_ELEMENT_UPDATE,this.updateBubbleSetsPath),this.shape.destroy(),super.destroy()}}ph.defaultOptions=Object.assign({members:[],avoidMembers:[],fill:"lightblue",fillOpacity:.2,stroke:"blue",strokeOpacity:.2},gh);const U_=(n,t)=>(Array.isArray(t)?t:[t]).map(r=>{const i=n.getElementRenderBounds(r);return new Or(i.min[0],i.min[1],ta(i),ea(i))}),Y_=(n,t)=>(Array.isArray(t)?t:[t]).map(r=>{const i=n.getEdgeData(r),a=n.getElementPosition(i.source),s=n.getElementPosition(i.target);return hr.from({x1:a[0],y1:a[1],x2:s[0],y2:s[1]})});class Q7 extends null{constructor(t,e){super(t,e),this.setOptions=r=>{const i={cameraType:"setType",near:"setNear",far:"setFar",fov:"setFov",aspect:"setAspect",projectionMode:"setProjectionMode",distance:"setDistance",minDistance:"setMinDistance",maxDistance:"setMaxDistance",roll:"setRoll",elevation:"setElevation",azimuth:"setAzimuth"},a=(s,o)=>{switch(s){case"projectionMode":return o==="perspective"?1:0;case"cameraType":return{orbiting:0,exploring:1,tracking:2}[o];case"aspect":return typeof o=="number"?o:this.getCanvasAspect();default:return o}};Object.entries(i).forEach(([s,o])=>{const l=r[s];if(l!==void 0){const c=a(s,l);this.context.canvas.getCamera()[o](c)}})},this.bindEvents()}update(t){this.setOptions(t),super.update(t)}bindEvents(){this.context.graph.once(GraphEvent.BEFORE_DRAW,()=>this.setOptions(this.options))}getCanvasAspect(){const[t,e]=this.context.viewport.getCanvasSize();return t/e}}function H_(n){return` -
    - ${n.map(t=>`
  • ${t.name}
    • `).join("")} -
- `}const X_=` - .g6-contextmenu { - font-size: 12px; - background-color: rgba(255, 255, 255, 0.96); - border-radius: 4px; - overflow: hidden; - box-shadow: rgba(0, 0, 0, 0.12) 0px 6px 12px 0px; - transition: visibility 0.2s cubic-bezier(0.23, 1, 0.32, 1) 0s, left 0.4s cubic-bezier(0.23, 1, 0.32, 1) 0s, top 0.4s cubic-bezier(0.23, 1, 0.32, 1) 0s; - } - - .g6-contextmenu-ul { - max-width: 256px; - min-width: 96px; - list-style: none; - padding: 0; - margin: 0; - } - - .g6-contextmenu-li { - padding: 8px 12px; - cursor: pointer; - user-select: none; - } - - .g6-contextmenu-li:hover { - background-color: #f5f5f5; - cursor: pointer; - } -`;var Gb=function(n,t,e,r){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class mh extends br{constructor(t,e){super(t,Object.assign({},mh.defaultOptions,e)),this.targetElement=null,this.onTriggerEvent=r=>{var i;(i=r.preventDefault)===null||i===void 0||i.call(r),this.show(r)},this.onMenuItemClick=r=>{const{onClick:i,trigger:a}=this.options;if(r.target instanceof HTMLElement&&r.target.className.includes("g6-contextmenu-li")){const s=r.target.getAttribute("value");i==null||i(s,r.target,this.targetElement),this.hide()}a!=="click"&&this.hide()},this.initElement(),this.update(e)}initElement(){this.$element=So("contextmenu",!1,{zIndex:"99"});const{className:t}=this.options;t&&this.$element.classList.add(t),this.context.canvas.getContainer().appendChild(this.$element),Gv("g6-contextmenu-css","style",{},X_,document.head)}show(t){return Gb(this,void 0,void 0,function*(){const{enable:e,offset:r}=this.options;if(typeof e=="function"&&!e(t)||!e){this.hide();return}const i=yield this.getDOMContent(t);i instanceof HTMLElement?(this.$element.innerHTML="",this.$element.appendChild(i)):this.$element.innerHTML=i;const a=this.context.graph.getCanvas().getContainer().getBoundingClientRect();this.$element.style.left=`${t.client.x-a.left+r[0]}px`,this.$element.style.top=`${t.client.y-a.top+r[1]}px`,this.$element.style.display="block",this.targetElement=t.target})}hide(){this.$element.style.display="none",this.targetElement=null}update(t){this.unbindEvents(),super.update(t),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy(),this.$element.remove()}getDOMContent(t){return Gb(this,void 0,void 0,function*(){const{getContent:e,getItems:r}=this.options;return r?H_(yield r(t)):yield e(t)})}bindEvents(){const{graph:t}=this.context,{trigger:e}=this.options;t.on(`canvas:${e}`,this.onTriggerEvent),t.on(`node:${e}`,this.onTriggerEvent),t.on(`edge:${e}`,this.onTriggerEvent),t.on(`combo:${e}`,this.onTriggerEvent),document.addEventListener("click",this.onMenuItemClick)}unbindEvents(){const{graph:t}=this.context,{trigger:e}=this.options;t.off(`canvas:${e}`,this.onTriggerEvent),t.off(`node:${e}`,this.onTriggerEvent),t.off(`edge:${e}`,this.onTriggerEvent),t.off(`combo:${e}`,this.onTriggerEvent),document.removeEventListener("click",this.onMenuItemClick)}}mh.defaultOptions={trigger:"contextmenu",offset:[4,4],loadingContent:'
Loading...
',getContent:()=>"It is a empty context menu.",enable:()=>!0};class yh extends br{constructor(t,e){super(t,Object.assign({},yh.defaultOptions,e)),this.edgeBundles={},this.edgePoints={},this.onBundle=()=>{const{model:r,element:i}=this.context,a=r.getEdgeData();this.divideEdges(this.options.divisions);const{cycles:s,iterRate:o,divRate:l}=this.options;let{lambda:c,divisions:u,iterations:h}=this.options;for(let d=0;d{var p;if(g.source===g.target)return;const y=At(g);v[y]=this.getEdgeForces(g,u,c);for(let b=0;b{const f=At(d),v=i.getElement(f);v==null||v.update({d:dv(this.edgePoints[f])})})},this.bindEvents()}get nodeMap(){const t=this.context.model.getNodeData();return Object.fromEntries(t.map(e=>[At(e),Rs(ir(e))]))}divideEdges(t){this.context.model.getEdgeData().forEach(r=>{var i;const a=At(r);(i=this.edgePoints)[a]||(i[a]=[]);const s=this.nodeMap[r.source],o=this.nodeMap[r.target];if(t===1)this.edgePoints[a].push(s),this.edgePoints[a].push(Ii(Ne(s,o),2)),this.edgePoints[a].push(o);else{const c=(this.edgePoints[a].length===0?bn(s,o):$_(this.edgePoints[a]))/(t+1);let u=c;const h=[s];for(let d=1;du;){const p=u/g,y=Ne(f,Di(ln(v,f),p));h.push(y),g-=u,u=c}u-=g}h.push(o),this.edgePoints[a]=h}})}getVectorPosition(t){const e=this.nodeMap[t.source],r=this.nodeMap[t.target],[i,a]=ln(r,e),s=bn(e,r);return{source:e,target:r,vx:i,vy:a,length:s}}measureEdgeCompatibility(t,e){const r=this.getVectorPosition(t),i=this.getVectorPosition(e),a=K_(r,i),s=Q_(r,i),o=q_(r,i),l=J_(r,i);return a*s*o*l}getEdgeBundles(){const t={},e=this.options.bundleThreshold,r=this.context.model.getEdgeData();return r.forEach((i,a)=>{r.forEach((s,o)=>{var l,c;if(o<=a)return;this.measureEdgeCompatibility(i,s)>=e&&(t[l=At(i)]||(t[l]=[]),t[At(i)].push(s),t[c=At(s)]||(t[c]=[]),t[At(s)].push(i))})}),t}getSpringForce(t,e){const{pre:r,cur:i,next:a}=t;return Di(ln(Ne(r,a),Di(i,2)),e)}getElectrostaticForce(t,e){ra(this.edgeBundles)&&(this.edgeBundles=this.getEdgeBundles());const r=this.edgeBundles[At(e)];let i=[0,0];return r==null||r.forEach(a=>{const s=this.edgePoints[At(a)][t],o=this.edgePoints[At(e)][t],l=ln(s,o),c=bn(s,o);i=Ne(i,Di(l,1/c))}),i}getEdgeForces(t,e,r){const i=this.nodeMap[t.source],a=this.nodeMap[t.target],s=this.options.K/(bn(i,a)*(e+1)),o=[[0,0]],l=At(t);for(let c=1;cMath.abs(yN([n.vx,n.vy],[t.vx,t.vy])/(n.length*t.length)),Q_=(n,t)=>{const e=(n.length+t.length)/2;return 2/(e/Math.min(n.length,t.length)+Math.max(n.length,t.length)/e)},q_=(n,t)=>{const e=(n.length+t.length)/2,r=Ii(Ne(n.source,n.target),2),i=Ii(Ne(t.source,t.target),2);return e/(e+bn(r,i))},Vb=(n,t)=>{if(t.source[0]===t.target[0])return[t.source[0],n[1]];if(t.source[1]===t.target[1])return[n[0],t.source[1]];const e=(t.source[1]-t.target[1])/(t.source[0]-t.target[0]),r=(e*e*t.source[0]+e*(n[1]-t.source[1])+n[0])/(e*e+1),i=e*(r-t.source[0])+t.source[1];return[r,i]},Ub=(n,t)=>{const e=Vb(t.source,n),r=Vb(t.target,n),i=Ii(Ne(e,r),2),a=Ii(Ne(n.source,n.target),2);return bn(e,r)===0?0:Math.max(0,1-2*bn(a,i)/bn(e,r))},J_=(n,t)=>Math.min(Ub(n,t),Ub(t,n)),$_=n=>{let t=0;for(let e=1;e{if(this.options.trigger==="drag"&&this.isLensOn)return;const i=mr(r.canvas);this.renderLens(i),this.renderFocusElements()},this.renderLens=r=>{const i=Object.assign({},tD,this.options.style);this.isLensOn||(this.lens=new Ds({style:i}),this.canvas.appendChild(this.lens)),Object.assign(i,Bi(r),{size:this.r*2}),this.lens.update(i)},this.getFilterData=()=>{const{filter:r}=this.options,{model:i}=this.context,a=i.getData();if(!r)return a;const{nodes:s,edges:o,combos:l}=a;return{nodes:s.filter(c=>r(At(c),"node")),edges:o.filter(c=>r(At(c),"edge")),combos:l.filter(c=>r(At(c),"combo"))}},this.getFocusElements=r=>{const{nodes:i,edges:a}=this.getFilterData(),s=i.filter(c=>bn(ir(c),r)At(c)),l=a.filter(c=>{const{source:u,target:h}=c,d=o.includes(u),f=o.includes(h);switch(this.options.nodeType){case"both":return d&&f;case"either":return d!==f;case"source":return d&&!f;case"target":return!d&&f;default:return!1}});return{nodes:s,edges:l}},this.renderFocusElements=()=>{const{element:r,graph:i}=this.context;if(!this.isLensOn)return;const a=this.lens.getCenter(),{nodes:s,edges:o}=this.getFocusElements(a),l=new Set,c=u=>{const h=At(u);l.add(h);const d=r.getElement(h);if(!d)return;const f=this.shapes.get(h)||d.cloneNode();f.setPosition(d.getPosition()),f.id=d.id,this.shapes.has(h)?Object.entries(d.attributes).forEach(([p,y])=>{f.style[p]!==y&&(f.style[p]=y)}):(this.canvas.appendChild(f),this.shapes.set(h,f));const v=i.getElementType(h),g=this.getElementStyle(v,u);f.update(g)};s.forEach(c),o.forEach(c),this.shapes.forEach((u,h)=>{l.has(h)||(u.destroy(),this.shapes.delete(h))})},this.scaleRByWheel=r=>{var i;this.options.preventDefault&&r.preventDefault();const{clientX:a,clientY:s,deltaX:o,deltaY:l}=r,{graph:c,canvas:u}=this.context,h=c.getCanvasByClient([a,s]),d=(i=this.lens)===null||i===void 0?void 0:i.getCenter();if(!this.isLensOn||bn(h,d)>this.r)return;const{maxR:f,minR:v}=this.options,g=o+l>0?1/(1-Yb):1-Yb,p=Math.min(...u.getSize())/2;this.r=Math.max(v||0,Math.min(f||p,this.r*g)),this.renderLens(d),this.renderFocusElements()},this.isLensDragging=!1,this.onDragStart=r=>{var i;const a=mr(r.canvas),s=(i=this.lens)===null||i===void 0?void 0:i.getCenter();!this.isLensOn||bn(a,s)>this.r||(this.isLensDragging=!0)},this.onDrag=r=>{if(!this.isLensDragging)return;const i=mr(r.canvas);this.renderLens(i),this.renderFocusElements()},this.onDragEnd=()=>{this.isLensDragging=!1},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}getElementStyle(t,e){const r=t==="node"?this.options.nodeStyle:this.options.edgeStyle;return typeof r=="function"?r(e):r}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var t;const{graph:e}=this.context,{trigger:r,scaleRBy:i}=this.options,a=e.getCanvas().getLayer();["click","drag"].includes(r)&&a.addEventListener(Bt.CLICK,this.onEdgeFilter),r==="pointermove"?a.addEventListener(Bt.POINTER_MOVE,this.onEdgeFilter):r==="drag"&&(a.addEventListener(Bt.DRAG_START,this.onDragStart),a.addEventListener(Bt.DRAG,this.onDrag),a.addEventListener(Bt.DRAG_END,this.onDragEnd)),i==="wheel"&&((t=this.graphDom)===null||t===void 0||t.addEventListener(Bt.WHEEL,this.scaleRByWheel,{passive:!1}))}unbindEvents(){var t;const{graph:e}=this.context,{trigger:r,scaleRBy:i}=this.options,a=e.getCanvas().getLayer();["click","drag"].includes(r)&&a.removeEventListener(Bt.CLICK,this.onEdgeFilter),r==="pointermove"?a.removeEventListener(Bt.POINTER_MOVE,this.onEdgeFilter):r==="drag"&&(a.removeEventListener(Bt.DRAG_START,this.onDragStart),a.removeEventListener(Bt.DRAG,this.onDrag),a.removeEventListener(Bt.DRAG_END,this.onDragEnd)),i==="wheel"&&((t=this.graphDom)===null||t===void 0||t.removeEventListener(Bt.WHEEL,this.scaleRByWheel))}update(t){var e;this.unbindEvents(),super.update(t),this.r=(e=t.r)!==null&&e!==void 0?e:this.r,this.bindEvents()}destroy(){this.unbindEvents(),this.isLensOn&&this.lens.destroy(),this.shapes.forEach((t,e)=>{t.destroy(),this.shapes.delete(e)}),super.destroy()}}bh.defaultOptions={trigger:"pointermove",r:60,nodeType:"both",filter:()=>!0,style:{lineWidth:2},nodeStyle:{label:!1},edgeStyle:{label:!0},scaleRBy:"wheel",preventDefault:!0};const eD={fill:"#ccc",fillOpacity:.1,lineWidth:2,stroke:"#000",strokeOpacity:.8,labelFontSize:12},Hb=.05,Xb=.1;class xh extends br{constructor(t,e){super(t,Object.assign({},xh.defaultOptions,e)),this.r=this.options.r,this.d=this.options.d,this.onCreateFisheye=r=>{if(this.options.trigger==="drag"&&this.isLensOn)return;const i=mr(r.canvas);this.onMagnify(i)},this.onMagnify=r=>{r.some(isNaN)||(this.renderLens(r),this.renderFocusElements())},this.renderLens=r=>{const i=Object.assign({},eD,this.options.style);this.isLensOn||(this.lens=new Ds({style:i}),this.canvas.appendChild(this.lens)),Object.assign(i,Bi(r),{size:this.r*2,label:this.options.showDPercent,labelText:this.getDPercent()}),this.lens.update(i)},this.getDPercent=()=>{const{minD:r,maxD:i}=this.options;return`${Math.round((this.d-r)/(i-r)*100)}%`},this.prevMagnifiedStyleMap=new Map,this.prevOriginStyleMap=new Map,this.renderFocusElements=()=>{if(!this.isLensOn)return;const{graph:r}=this.context,i=this.lens.getCenter(),a=(this.d+1)*this.r,s=new Map,o=new Map;r.getNodeData().forEach(c=>{const u=ir(c),h=bn(u,i);if(h>this.r)return;const d=a*h/(this.d*h+this.r),[f,v]=u,[g,p]=i,y=(f-g)/h,b=(v-p)/h,E=[g+d*y,p+d*b],O=At(c),P=this.getNodeStyle(c),L=Bs(r.getElementRenderStyle(O),Object.keys(P));s.set(O,Object.assign(Object.assign({},Bi(E)),P)),o.set(O,Object.assign(Object.assign({},Bi(u)),L))}),this.updateStyle(s,o)},this.getNodeStyle=r=>{const{nodeStyle:i}=this.options;return typeof i=="function"?i(r):i},this.updateStyle=(r,i)=>{const{graph:a,element:s}=this.context,{enter:o,exit:l,keep:c}=za(Array.from(this.prevMagnifiedStyleMap.keys()),Array.from(r.keys()),d=>d),u=new Set,h=(d,f)=>{const v=s.getElement(d);v==null||v.update(f),a.getRelatedEdgesData(d).forEach(g=>{u.add(At(g))})};[...o,...c].forEach(d=>{h(d,r.get(d))}),l.forEach(d=>{h(d,this.prevOriginStyleMap.get(d)),this.prevOriginStyleMap.delete(d)}),u.forEach(d=>{const f=s.getElement(d);f==null||f.update({})}),this.prevMagnifiedStyleMap=r,i.forEach((d,f)=>{this.prevOriginStyleMap.has(f)||this.prevOriginStyleMap.set(f,d)})},this.isWheelValid=r=>{if(this.options.preventDefault&&r.preventDefault(),!this.isLensOn)return!1;const{clientX:i,clientY:a}=r,s=this.context.graph.getCanvasByClient([i,a]),o=this.lens.getCenter();return!(bn(s,o)>this.r)},this.scaleR=r=>{const{maxR:i,minR:a}=this.options,s=r?1/(1-Hb):1-Hb,o=Math.min(...this.context.canvas.getSize())/2;this.r=Math.max(a||0,Math.min(i||o,this.r*s))},this.scaleD=r=>{const{maxD:i,minD:a}=this.options,s=r?this.d+Xb:this.d-Xb;this.d=Math.max(a,Math.min(i,s))},this.scaleRByWheel=r=>{if(!this.isWheelValid(r))return;const{deltaX:i,deltaY:a}=r;this.scaleR(i+a>0);const s=this.lens.getCenter();this.onMagnify(s)},this.scaleDByWheel=r=>{if(!this.isWheelValid(r))return;const{deltaX:i,deltaY:a}=r;this.scaleD(i+a>0);const s=this.lens.getCenter();this.onMagnify(s)},this.isDragValid=r=>{if(this.options.preventDefault&&r.preventDefault(),!this.isLensOn)return!1;const i=mr(r.canvas),a=this.lens.getCenter();return!(bn(i,a)>this.r)},this.isLensDragging=!1,this.onDragStart=r=>{this.isDragValid(r)&&(this.isLensDragging=!0)},this.onDrag=r=>{if(!this.isLensDragging)return;const i=mr(r.canvas);this.onMagnify(i)},this.onDragEnd=()=>{this.isLensDragging=!1},this.scaleRByDrag=r=>{if(!this.isLensDragging)return;const{dx:i,dy:a}=r;this.scaleR(i-a>0);const s=this.lens.getCenter();this.onMagnify(s)},this.scaleDByDrag=r=>{if(!this.isLensDragging)return;const{dx:i,dy:a}=r;this.scaleD(i-a>0);const s=this.lens.getCenter();this.onMagnify(s)},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var t;const{graph:e}=this.context,{trigger:r,scaleRBy:i,scaleDBy:a}=this.options,s=e.getCanvas().getLayer();if(["click","drag"].includes(r)&&s.addEventListener(Bt.CLICK,this.onCreateFisheye),r==="pointermove"&&s.addEventListener(Bt.POINTER_MOVE,this.onCreateFisheye),r==="drag"||i==="drag"||a==="drag"){s.addEventListener(Bt.DRAG_START,this.onDragStart),s.addEventListener(Bt.DRAG_END,this.onDragEnd);const o=r==="drag"?this.onDrag:i==="drag"?this.scaleRByDrag:this.scaleDByDrag;s.addEventListener(Bt.DRAG,o)}if(i==="wheel"||a==="wheel"){const o=i==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(t=this.graphDom)===null||t===void 0||t.addEventListener(Bt.WHEEL,o,{passive:!1})}}unbindEvents(){var t;const{graph:e}=this.context,{trigger:r,scaleRBy:i,scaleDBy:a}=this.options,s=e.getCanvas().getLayer();if(["click","drag"].includes(r)&&s.removeEventListener(Bt.CLICK,this.onCreateFisheye),r==="pointermove"&&s.removeEventListener(Bt.POINTER_MOVE,this.onCreateFisheye),r==="drag"||i==="drag"||a==="drag"){s.removeEventListener(Bt.DRAG_START,this.onDragStart),s.removeEventListener(Bt.DRAG_END,this.onDragEnd);const o=r==="drag"?this.onDrag:i==="drag"?this.scaleRByDrag:this.scaleDByDrag;s.removeEventListener(Bt.DRAG,o)}if(i==="wheel"||a==="wheel"){const o=i==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(t=this.graphDom)===null||t===void 0||t.removeEventListener(Bt.WHEEL,o)}}update(t){var e,r;this.unbindEvents(),super.update(t),this.r=(e=t.r)!==null&&e!==void 0?e:this.r,this.d=(r=t.d)!==null&&r!==void 0?r:this.d,this.bindEvents()}destroy(){var t;this.unbindEvents(),this.isLensOn&&((t=this.lens)===null||t===void 0||t.destroy()),this.prevMagnifiedStyleMap.clear(),this.prevOriginStyleMap.clear(),super.destroy()}}xh.defaultOptions={trigger:"pointermove",r:120,d:1.5,maxD:5,minD:0,showDPercent:!0,style:{},nodeStyle:{label:!0},preventDefault:!0};class Eh extends br{constructor(t,e){super(t,Object.assign({},Eh.defaultOptions,e)),this.$el=this.context.canvas.getContainer(),this.graphSize=[0,0],this.onFullscreenChange=()=>{var r,i,a,s;const o=!!document.fullscreenElement;this.options.autoFit&&this.setGraphSize(o),o?(i=(r=this.options).onEnter)===null||i===void 0||i.call(r):(s=(a=this.options).onExit)===null||s===void 0||s.call(a)},this.shortcut=new go(t.graph),this.bindEvents(),this.style=document.createElement("style"),document.head.appendChild(this.style),this.style.innerHTML=` - :not(:root):fullscreen::backdrop { - background: transparent; - } - `}bindEvents(){this.unbindEvents(),this.shortcut.unbindAll();const{request:t=[],exit:e=[]}=this.options.trigger;this.shortcut.bind(t,this.request),this.shortcut.bind(e,this.exit),["webkitfullscreenchange","mozfullscreenchange","fullscreenchange","MSFullscreenChange"].forEach(i=>{document.addEventListener(i,this.onFullscreenChange,!1)})}unbindEvents(){this.shortcut.unbindAll(),["webkitfullscreenchange","mozfullscreenchange","fullscreenchange","MSFullscreenChange"].forEach(e=>{document.removeEventListener(e,this.onFullscreenChange,!1)})}setGraphSize(t=!0){var e,r;let i,a;t?(i=((e=globalThis.screen)===null||e===void 0?void 0:e.width)||0,a=((r=globalThis.screen)===null||r===void 0?void 0:r.height)||0,this.graphSize=this.context.graph.getSize()):[i,a]=this.graphSize,this.context.graph.setSize(i,a),this.context.graph.render()}request(){document.fullscreenElement||!nD()||this.$el.requestFullscreen().catch(t=>{Xr.warn(`Error attempting to enable full-screen: ${t.message} (${t.name})`)})}exit(){document.fullscreenElement&&document.exitFullscreen()}update(t){this.unbindEvents(),super.update(t),this.bindEvents()}destroy(){this.exit(),this.style.remove(),super.destroy()}}Eh.defaultOptions={trigger:{},autoFit:!0};function nD(){return document.fullscreenEnabled||Reflect.get(document,"webkitFullscreenEnabled")||Reflect.get(document,"mozFullscreenEnabled")||Reflect.get(document,"msFullscreenEnabled")}class wh extends br{constructor(t,e){super(t,Object.assign({},wh.defaultOptions,e)),this.$element=So("grid-line",!0),this.offset=[0,0],this.currentScale=1,this.followZoom=i=>{const{data:{scale:a,origin:s}}=i;if(!a)return;const o=this.currentScale;this.currentScale=a;const l=a/o,c=Di(s||this.context.graph.getCanvasCenter(),1-l),u=this.baseSize*a,h=Di(this.offset,l),d=Uf(h,u),f=Ne(d,c);this.$element.style.backgroundSize=`${u}px ${u}px`,this.$element.style.backgroundPosition=`${f[0]}px ${f[1]}px`,this.offset=Uf(f,u)},this.followTranslate=i=>{if(!this.options.follow)return;const{data:{translate:a}}=i;a&&this.updateOffset(a)},this.onTransform=i=>{const a=this.parseFollow(this.options.follow);a.zoom&&this.followZoom(i),a.translate&&this.followTranslate(i)},this.context.canvas.getContainer().prepend(this.$element),this.baseSize=this.options.size,this.updateStyle(),this.bindEvents()}update(t){super.update(t),t.size!==void 0&&(this.baseSize=t.size),this.updateStyle()}bindEvents(){const{graph:t}=this.context;t.on(Kt.AFTER_TRANSFORM,this.onTransform)}updateStyle(){const{stroke:t,lineWidth:e,border:r,borderLineWidth:i,borderStroke:a,borderStyle:s}=this.options,o=this.baseSize*this.currentScale;Object.assign(this.$element.style,{border:r?`${i}px ${s} ${a}`:"none",backgroundImage:`linear-gradient(${t} ${e}px, transparent ${e}px), linear-gradient(90deg, ${t} ${e}px, transparent ${e}px)`,backgroundSize:`${o}px ${o}px`,backgroundRepeat:"repeat"})}updateOffset(t){const e=this.baseSize*this.currentScale;this.offset=Uf(Ne(this.offset,t),e),this.$element.style.backgroundPosition=`${this.offset[0]}px ${this.offset[1]}px`}parseFollow(t){var e,r;return Uo(t)?{translate:t,zoom:t}:{translate:(e=t==null?void 0:t.translate)!==null&&e!==void 0?e:!1,zoom:(r=t==null?void 0:t.zoom)!==null&&r!==void 0?r:!1}}destroy(){this.context.graph.off(Kt.AFTER_TRANSFORM,this.onTransform),this.$element.remove(),super.destroy()}}wh.defaultOptions={border:!0,borderLineWidth:1,borderStroke:"#eee",borderStyle:"solid",lineWidth:1,size:20,stroke:"#eee"};function Xv(n){const t={Added:new Map,Updated:new Map,Removed:new Map};return n.forEach(e=>{const{type:r,value:i}=e,a=At(i);if(r==="NodeAdded"||r==="EdgeAdded"||r==="ComboAdded")t.Added.set(a,e);else if(r==="NodeUpdated"||r==="EdgeUpdated"||r==="ComboUpdated")if(t.Added.has(a))t.Added.set(a,{type:r.replace("Updated","Added"),value:i});else if(t.Updated.has(a)){const{original:s}=t.Updated.get(a);t.Updated.set(a,{type:r,value:i,original:s})}else t.Removed.has(a)||t.Updated.set(a,e);else(r==="NodeRemoved"||r==="EdgeRemoved"||r==="ComboRemoved")&&(t.Added.has(a)?t.Added.delete(a):(t.Updated.has(a)&&t.Updated.delete(a),t.Removed.set(a,e)))}),[...Array.from(t.Added.values()),...Array.from(t.Updated.values()),...Array.from(t.Removed.values())]}function Kb(n){const{NodeAdded:t=[],NodeUpdated:e=[],NodeRemoved:r=[],EdgeAdded:i=[],EdgeUpdated:a=[],EdgeRemoved:s=[],ComboAdded:o=[],ComboUpdated:l=[],ComboRemoved:c=[]}=Xc(n,u=>u.type);return{add:{nodes:t,edges:i,combos:o},update:{nodes:e,edges:a,combos:l},remove:{nodes:r,edges:s,combos:c}}}function Qb(n,t){for(const e in n)Fn(n[e])&&!Array.isArray(n[e])&&n[e]!==null?(t[e]||(t[e]={}),Qb(n[e],t[e])):t[e]===void 0&&(t[e]=hl(e))}function rD(n,t=!1,e){const r={animation:t,current:{add:{},update:{},remove:{}},original:{add:{},update:{},remove:{}}},{add:i,update:a,remove:s}=Kb(Xv(n));return["nodes","edges","combos"].forEach(o=>{a[o]&&a[o].forEach(l=>{var c,u;const h=Object.assign({},l.value);let d=Object.assign({},l.original);if(e){const f=e.graph.getElementType(At(l.original)),v=f==="edge"?"stroke":"fill",g=e.element.getElementComputedStyle(f,l.original);d=Object.assign(Object.assign({},l.original),{style:Object.assign({[v]:g[v]},l.original.style)})}Qb(h,d),(c=r.current.update)[o]||(c[o]=[]),r.current.update[o].push(h),(u=r.original.update)[o]||(u[o]=[]),r.original.update[o].push(d)}),i[o]&&i[o].forEach(l=>{var c,u;const h=Object.assign({},l.value);(c=r.current.add)[o]||(c[o]=[]),r.current.add[o].push(h),(u=r.original.remove)[o]||(u[o]=[]),r.original.remove[o].push(h)}),s[o]&&s[o].forEach(l=>{var c,u;const h=Object.assign({},l.value);(c=r.current.remove)[o]||(c[o]=[]),r.current.remove[o].push(h),(u=r.original.add)[o]||(u[o]=[]),r.original.add[o].push(h)})}),r}class Sh extends br{constructor(t,e){super(t,Object.assign({},Sh.defaultOptions,e)),this.batchChanges=null,this.batchAnimation=!1,this.undoStack=[],this.redoStack=[],this.freezed=!1,this.executeCommand=(i,a=!0)=>{var s,o,l;this.freezed=!0,(o=(s=this.options).executeCommand)===null||o===void 0||o.call(s,i);const c=a?i.original:i.current;this.context.graph.addData(c.add),this.context.graph.updateData(c.update),this.context.graph.removeData(my(c.remove,!1)),(l=this.context.element)===null||l===void 0||l.draw({silence:!0,animation:i.animation}),this.freezed=!1},this.addCommand=i=>{var a;if(!this.freezed){if(i.type===Kt.AFTER_DRAW){const{dataChanges:s=[],animation:o=!0}=i.data;if(!((a=this.context.batch)===null||a===void 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this}redo(){const t=this.redoStack.pop();return t&&(this.executeCommand(t,!1),this.undoStackPush(t),this.notify(Da.REDO,t)),this}undoAndCancel(){const t=this.undoStack.pop();return t&&(this.executeCommand(t,!1),this.redoStack=[],this.notify(Da.CANCEL,t)),this}undoStackPush(t){var e,r,i,a;const{stackSize:s}=this.options;s!==0&&this.undoStack.length>=s&&this.undoStack.shift(),((r=(e=this.options).beforeAddCommand)===null||r===void 0?void 0:r.call(e,t,!0))!==!1&&(this.undoStack.push(t),(a=(i=this.options).afterAddCommand)===null||a===void 0||a.call(i,t,!0))}clear(){this.undoStack=[],this.redoStack=[],this.batchChanges=null,this.batchAnimation=!1,this.notify(Da.CLEAR,null)}notify(t,e){this.emitter.emit(t,{cmd:e}),this.emitter.emit(Da.CHANGE,{cmd:e})}on(t,e){this.emitter.on(t,e)}destroy(){const{graph:t}=this.context;t.off(Kt.AFTER_DRAW,this.addCommand),t.off(Kt.BATCH_START,this.initBatchCommand),t.off(Kt.BATCH_END,this.addCommand),this.emitter.off(),super.destroy(),this.undoStack=[],this.redoStack=[]}}Sh.defaultOptions={stackSize:0};const Kv={toXy(n,t){if(!t)return[...n];const e=t[0].slice(1),r=t[1].slice(1);return n.map(i=>[i[e],i[r]])},fromXy(n,t){if(!t)return[...n];const e=t[0].slice(1),r=t[1].slice(1);return n.map(([i,a])=>({[e]:i,[r]:a}))}};class iD{constructor(t,e){this._cells=[],this._cellSize=e,this._reverseCellSize=1/e;for(const r of t){const 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o=n[s===0?n.length-1:s-1],l=pl(ja(pa(hu(ln(o,a),!1)),t));return[Ne(o,l),Ne(a,l)]}).flat();return r.map((a,s)=>{if(s%2===0)return null;const o=[r[(s-1)%r.length],r[s%r.length]],l=[r[(s+1)%r.length],r[(s+2)%r.length]];return Yf(o,l,!0)}).filter(Boolean).map((a,s)=>[s===0?"M":"L",a[0],a[1]]).concat([["Z"]])};var ID=function(n,t){var e={};for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&t.indexOf(r)<0&&(e[r]=n[r]);if(n!=null&&typeof Object.getOwnPropertySymbols=="function")for(var i=0,r=Object.getOwnPropertySymbols(n);i{if(!this.shape)this.shape=new wl({style:this.getHullStyle()}),this.context.canvas.appendChild(this.shape);else{const r=!Zn(this.optionsCache,this.options);this.shape.update(this.getHullStyle(r))}this.optionsCache=Object.assign({},this.options)},this.updateHullPath=r=>{this.shape&&this.options.members.includes(At(r.data))&&this.shape.update({d:this.getHullPath(!0)})},this.getHullPath=(r=!1)=>{const{graph:i}=this.context,a=this.getMember();if(a.length===0)return"";const s=a.map(c=>i.getNodeData(c)),o=kD(s.map(ir),this.options.concavity).slice(1).reverse(),l=o.flatMap(c=>s.filter(u=>Zn(ir(u),c)).map(At));return Zn(l,this.hullMemberIds)&&!r?this.path:(this.hullMemberIds=l,this.path=PD(o,this.getPadding(),this.options.corner),this.path)},this.bindEvents()}bindEvents(){this.context.graph.on(Kt.AFTER_RENDER,this.drawHull),this.context.graph.on(Kt.AFTER_ELEMENT_UPDATE,this.updateHullPath)}unbindEvents(){this.context.graph.off(Kt.AFTER_RENDER,this.drawHull),this.context.graph.off(Kt.AFTER_ELEMENT_UPDATE,this.updateHullPath)}getHullStyle(t){const 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e=this.shape,r=e.markerWidth,i=e.labelWidth,a=e.valueWidth,s=e.focusWidth,o=e.width,l=e.height,c=(0,G.CR)(this.spacing,3),u=c[0],h=c[1],d=c[2];return{height:l,width:o,markerWidth:r,labelWidth:i,valueWidth:a,focusWidth:s,position:[r/2,r+u,r+i+u+h,r+i+a+u+h+d+s/2]}},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"scaleSize",{get:function(){var e=UI(this.markerGroup.node()),r=this.attributes,i=r.markerSize,a=r.markerStrokeWidth,s=a===void 0?e.strokeWidth:a,o=r.markerLineWidth,l=o===void 0?e.lineWidth:o,c=r.markerStroke,u=c===void 0?e.stroke:c,h=+(s||l||(u?1:0))*Math.sqrt(2),d=this.markerGroup.node().getBBox(),f=d.width,v=d.height;return(1-h/Math.max(f,v))*i},enumerable:!1,configurable:!0}),t.prototype.renderMarker=function(e){var r=this,i=this.attributes.marker,a=ke(this.attributes,"marker");this.markerGroup=e.maybeAppendByClassName(Nr.markerGroup,"g").style("zIndex",0),Qr(!!i,this.markerGroup,function(){var s,o=r.markerGroup.node(),l=(s=o.childNodes)===null||s===void 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r=this,i=ke(this.attributes,"value"),a=i.text,s=(0,G._T)(i,["text"]);this.valueGroup=e.maybeAppendByClassName(Nr.valueGroup,"g").style("zIndex",0),Qr(this.showValue,this.valueGroup,function(){r.valueGroup.maybeAppendByClassName(Nr.value,function(){return wa(a)}).styles(s)})},t.prototype.createPoptip=function(){var e=this.attributes.poptip,r=e||{},i=r.render,a=(0,G._T)(r,["render"]),s=new GI({style:Jn(VI,a)});return this.poptipGroup=s,s},t.prototype.bindPoptip=function(e){var r=this,i=this.attributes.poptip;if(i){var a=this.poptipGroup||this.createPoptip();a.bind(e,function(){var s=r.attributes,o=s.labelText,l=s.valueText,c=s.markerFill,u=typeof o=="string"?o:o==null?void 0:o.attr("text"),h=typeof l=="string"?l:l==null?void 0:l.attr("text");if(typeof i.render=="function")return{html:i.render({label:u,value:h,color:c})};var d="";return(typeof u=="string"||typeof u=="number")&&(d+='
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")),{html:d}})}},t.prototype.renderFocus=function(e){var r=this,i=this.attributes,a=i.focus,s=i.focusMarkerSize,o={x:0,y:0,size:s,opacity:.6,symbol:"focus",stroke:"#aaaaaa",lineWidth:1};Te(a)||(this.focusGroup=e.maybeAppendByClassName(Nr.focusGroup,"g").style("zIndex",0),Qr(a,this.focusGroup,function(){var l=new en({style:(0,G.pi)((0,G.pi)({},o),{symbol:"focus"})}),c=new Ji({style:{r:o.size/2,fill:"transparent"}}),u=r.focusGroup.node();u.appendChild(c),u.appendChild(l),l.update({opacity:0}),e.node().addEventListener("pointerenter",function(){l.update({opacity:1})}),e.node().addEventListener("pointerleave",function(){l.update({opacity:0})})}))},t.prototype.renderPoptip=function(e){var r=this,i=this.attributes.poptip;if(i){var a=e.maybeAppendByClassName(Nr.value,"g").node(),s=e.maybeAppendByClassName(Nr.label,"g").node();[a,s].forEach(function(o){o&&r.bindPoptip(o)})}},t.prototype.renderBackground=function(e){var r=this.shape,i=r.width,a=r.height,s=ke(this.attributes,"background");this.background=e.maybeAppendByClassName(Nr.backgroundGroup,"g").style("zIndex",-1),this.background.maybeAppendByClassName(Nr.background,"rect").styles((0,G.pi)({width:i,height:a},s))},t.prototype.adjustLayout=function(){var e=this.layout,r=e.labelWidth,i=e.valueWidth,a=e.height,s=(0,G.CR)(e.position,4),o=s[0],l=s[1],c=s[2],u=s[3],h=a/2;this.markerGroup.styles({transform:"translate(".concat(o,", ").concat(h,")").concat(this.markerGroup.node().style._transform)}),this.labelGroup.styles({transform:"translate(".concat(l,", ").concat(h,")")}),this.focusGroup&&this.focusGroup.styles({transform:"translate(".concat(u,", ").concat(h,")")}),r0(this.labelGroup.select(Nr.label.class).node(),Math.ceil(r)),this.showValue&&(this.valueGroup.styles({transform:"translate(".concat(c,", ").concat(h,")")}),r0(this.valueGroup.select(Nr.value.class).node(),Math.ceil(i)))},t.prototype.render=function(e,r){var i=ve(r),a=e.x,s=a===void 0?0:a,o=e.y,l=o===void 0?0:o;i.styles({transform:"translate(".concat(s,", ").concat(l,")")}),this.renderMarker(i),this.renderLabel(i),this.renderValue(i),this.renderBackground(i),this.renderPoptip(i),this.renderFocus(i),this.adjustLayout()},t}(Ln),Us=Zi({page:"item-page",navigator:"navigator",item:"item"},"items"),Mx=function(n,t,e){return e===void 0&&(e=!0),n?t(n):e},HI=function(n){(0,G.ZT)(t,n);function t(e){var r=n.call(this,e,{data:[],gridRow:1/0,gridCol:void 0,padding:0,width:1e3,height:100,rowPadding:0,colPadding:0,layout:"flex",orientation:"horizontal",click:$v,mouseenter:$v,mouseleave:$v})||this;return r.navigatorShape=[0,0],r}return Object.defineProperty(t.prototype,"pageViews",{get:function(){return this.navigator.getContainer()},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"grid",{get:function(){var e=this.attributes,r=e.gridRow,i=e.gridCol,a=e.data;if(!r&&!i)throw new Error("gridRow and gridCol can not be set null at the same time");return r&&i?[r,i]:r?[r,a.length]:[a.length,i]},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"renderData",{get:function(){var e=this.attributes,r=e.data,i=e.layout,a=e.poptip,s=e.focus,o=e.focusMarkerSize,l=ke(this.attributes,"item"),c=r.map(function(u,h){var d=u.id,f=d===void 0?h:d,v=u.label,g=u.value;return{id:"".concat(f),index:h,style:(0,G.pi)({layout:i,labelText:v,valueText:g,poptip:a,focus:s,focusMarkerSize:o},Object.fromEntries(Object.entries(l).map(function(p){var y=(0,G.CR)(p,2),b=y[0],E=y[1];return[b,qr(E,[u,h,r])]})))}});return c},enumerable:!1,configurable:!0}),t.prototype.getGridLayout=function(){var e=this,r=this.attributes,i=r.orientation,a=r.width,s=r.rowPadding,o=r.colPadding,l=(0,G.CR)(this.navigatorShape,1),c=l[0],u=(0,G.CR)(this.grid,2),h=u[0],d=u[1],f=d*h,v=0;return this.pageViews.children.map(function(g,p){var y,b,E=Math.floor(p/f),O=p%f,P=e.ifHorizontal(d,h),L=[Math.floor(O/P),O%P];i==="vertical"&&L.reverse();var F=(0,G.CR)(L,2),I=F[0],V=F[1],Y=(a-c-(d-1)*o)/d,J=g.getBBox().height,$=(0,G.CR)([0,0],2),ot=$[0],ct=$[1];return i==="horizontal"?(y=(0,G.CR)([v,I*(J+s)],2),ot=y[0],ct=y[1],v=V===d-1?0:v+Y+o):(b=(0,G.CR)([V*(Y+o),v],2),ot=b[0],ct=b[1],v=I===h-1?0:v+J+s),{page:E,index:p,row:I,col:V,pageIndex:O,width:Y,height:J,x:ot,y:ct}})},t.prototype.getFlexLayout=function(){var e=this.attributes,r=e.width,i=e.height,a=e.rowPadding,s=e.colPadding,o=(0,G.CR)(this.navigatorShape,1),l=o[0],c=(0,G.CR)(this.grid,2),u=c[0],h=c[1],d=(0,G.CR)([r-l,i],2),f=d[0],v=d[1],g=(0,G.CR)([0,0,0,0,0,0,0,0],8),p=g[0],y=g[1],b=g[2],E=g[3],O=g[4],P=g[5],L=g[6],F=g[7];return this.pageViews.children.map(function(I,V){var Y,J,$,ot,ct=I.getBBox(),ft=ct.width,Nt=ct.height,Ot=L===0?0:s,mt=L+Ot+ft;if(mt<=f&&Mx(O,function(Rt){return Rt0?(this.navigatorShape=[55,0],e.call(this)):r},enumerable:!1,configurable:!0}),t.prototype.ifHorizontal=function(e,r){var i=this.attributes.orientation;return e0(i,e,r)},t.prototype.flattenPage=function(e){e.querySelectorAll(Us.item.class).forEach(function(r){e.appendChild(r)}),e.querySelectorAll(Us.page.class).forEach(function(r){var i=e.removeChild(r);i.destroy()})},t.prototype.renderItems=function(e){var r=this.attributes,i=r.click,a=r.mouseenter,s=r.mouseleave;this.flattenPage(e);var o=this.dispatchCustomEvent.bind(this);ve(e).selectAll(Us.item.class).data(this.renderData,function(l){return l.id}).join(function(l){return l.append(function(c){var u=c.style;return new YI({style:u})}).attr("className",Us.item.name).on("click",function(){i==null||i(this),o("itemClick",{item:this})}).on("pointerenter",function(){a==null||a(this),o("itemMouseenter",{item:this})}).on("pointerleave",function(){s==null||s(this),o("itemMouseleave",{item:this})})},function(l){return l.each(function(c){var u=c.style;this.update(u)})},function(l){return l.remove()})},t.prototype.relayoutNavigator=function(){var e,r=this.attributes,i=r.layout,a=r.width,s=((e=this.pageViews.children[0])===null||e===void 0?void 0:e.getBBox().height)||0,o=(0,G.CR)(this.navigatorShape,2),l=o[0],c=o[1];this.navigator.update(i==="grid"?{pageWidth:a-l,pageHeight:s-c}:{})},t.prototype.adjustLayout=function(){var e=this,r=Object.entries(tI(this.itemsLayout,"page")).map(function(a){var s=(0,G.CR)(a,2),o=s[0],l=s[1];return{page:o,layouts:l}}),i=(0,G.ev)([],(0,G.CR)(this.navigator.getContainer().children),!1);r.forEach(function(a){var s=a.layouts,o=e.pageViews.appendChild(new rr({className:Us.page.name}));s.forEach(function(l){var c=l.x,u=l.y,h=l.index,d=l.width,f=l.height,v=i[h];o.appendChild(v),bl(v,"__layout__",l),v.update({x:c,y:u,width:d,height:f})})}),this.relayoutNavigator()},t.prototype.renderNavigator=function(e){var r=this.attributes.orientation,i=ke(this.attributes,"nav"),a=Jn({orientation:r},i),s=this;return e.selectAll(Us.navigator.class).data(["nav"]).join(function(o){return o.append(function(){return new AI({style:a})}).attr("className",Us.navigator.name).each(function(){s.navigator=this})},function(o){return o.each(function(){this.update(a)})},function(o){return o.remove()}),this.navigator},t.prototype.getBBox=function(){return this.navigator.getBBox()},t.prototype.render=function(e,r){var i=this.attributes.data;if(!(!i||i.length===0)){var a=this.renderNavigator(ve(r));this.renderItems(a.getContainer()),this.adjustLayout()}},t.prototype.dispatchCustomEvent=function(e,r){var i=new Kn(e,{detail:r});this.dispatchEvent(i)},t}(Ln),Il=Zi({markerGroup:"marker-group",marker:"marker",labelGroup:"label-group",label:"label"},"handle"),Ax={showLabel:!0,formatter:function(n){return n.toString()},markerSize:25,markerStroke:"#c5c5c5",markerFill:"#fff",markerLineWidth:1,labelFontSize:12,labelFill:"#c5c5c5",labelText:"",orientation:"vertical",spacing:0},aj=function(n){(0,G.ZT)(t,n);function t(e){return n.call(this,e,Ax)||this}return t.prototype.render=function(e,r){var i=ve(r).maybeAppendByClassName(Il.markerGroup,"g");this.renderMarker(i);var a=ve(r).maybeAppendByClassName(Il.labelGroup,"g");this.renderLabel(a)},t.prototype.renderMarker=function(e){var r=this,i=this.attributes,a=i.orientation,s=i.markerSymbol,o=s===void 0?e0(a,"horizontalHandle","verticalHandle"):s;Qr(!!o,e,function(l){var c=ke(r.attributes,"marker"),u=(0,G.pi)({symbol:o},c);r.marker=l.maybeAppendByClassName(Il.marker,function(){return new en({style:u})}).update(u)})},t.prototype.renderLabel=function(e){var r=this,i=this.attributes,a=i.showLabel,s=i.orientation,o=i.spacing,l=o===void 0?0:o,c=i.formatter;Qr(a,e,function(u){var h,d=ke(r.attributes,"label"),f=d.text,v=(0,G._T)(d,["text"]),g=((h=u.select(Il.marker.class))===null||h===void 0?void 0:h.node().getBBox())||{},p=g.width,y=p===void 0?0:p,b=g.height,E=b===void 0?0:b,O=(0,G.CR)(e0(s,[0,E+l,"center","top"],[y+l,0,"start","middle"]),4),P=O[0],L=O[1],F=O[2],I=O[3];u.maybeAppendByClassName(Il.label,"text").styles((0,G.pi)((0,G.pi)({},v),{x:P,y:L,text:c(f).toString(),textAlign:F,textBaseline:I}))})},t}(Ln),Tx={showTitle:!0,padding:0,orientation:"horizontal",backgroundFill:"transparent",titleText:"",titleSpacing:4,titlePosition:"top-left",titleFill:"#2C3542",titleFontWeight:"bold",titleFontFamily:"sans-serif",titleFontSize:12},XI=Jn({},Tx,{}),sj=Jn({},Tx,Mo(Ax,"handle"),{color:["#d0e3fa","#acc7f6","#8daaf2","#6d8eea","#4d73cd","#325bb1","#5a3e75","#8c3c79","#e23455","#e7655b"],indicatorBackgroundFill:"#262626",indicatorLabelFill:"white",indicatorLabelFontSize:12,indicatorVisibility:"hidden",labelAlign:"value",labelDirection:"positive",labelSpacing:5,showHandle:!0,showIndicator:!0,showLabel:!0,slidable:!0,titleText:"",type:"continuous"}),oj=.01,lj=.5,Bl=Zi({title:"title",titleGroup:"title-group",items:"items",itemsGroup:"items-group",contentGroup:"content-group",ribbonGroup:"ribbon-group",ribbon:"ribbon",handlesGroup:"handles-group",handle:"handle",startHandle:"start-handle",endHandle:"end-handle",labelGroup:"label-group",label:"label",indicator:"indicator"},"legend"),KI=function(n){(0,G.ZT)(t,n);function t(e){return n.call(this,e,XI)||this}return t.prototype.renderTitle=function(e,r,i){var a=this.attributes,s=a.showTitle,o=a.titleText,l=ke(this.attributes,"title"),c=(0,G.CR)(Ea(l),2),u=c[0],h=c[1];this.titleGroup=e.maybeAppendByClassName(Bl.titleGroup,"g").styles(h);var d=(0,G.pi)((0,G.pi)({width:r,height:i},u),{text:s?o:""});this.title=this.titleGroup.maybeAppendByClassName(Bl.title,function(){return new $D({style:d})}).update(d)},t.prototype.renderItems=function(e,r){var i=r.x,a=r.y,s=r.width,o=r.height,l=ke(this.attributes,"title",!0),c=(0,G.CR)(Ea(l),2),u=c[0],h=c[1],d=(0,G.pi)((0,G.pi)({},u),{width:s,height:o,x:0,y:0});this.itemsGroup=e.maybeAppendByClassName(Bl.itemsGroup,"g").styles((0,G.pi)((0,G.pi)({},h),{transform:"translate(".concat(i,", ").concat(a,")")}));var f=this;this.itemsGroup.selectAll(Bl.items.class).data(["items"]).join(function(v){return v.append(function(){return new HI({style:d})}).attr("className",Bl.items.name).each(function(){f.items=ve(this)})},function(v){return v.update(d)},function(v){return v.remove()})},t.prototype.adjustLayout=function(){var e=this.attributes.showTitle;if(e){var r=this.title.node().getAvailableSpace(),i=r.x,a=r.y;this.itemsGroup.node().style.transform="translate(".concat(i,", ").concat(a,")")}},Object.defineProperty(t.prototype,"availableSpace",{get:function(){var e=this.attributes,r=e.showTitle,i=e.width,a=e.height;return r?this.title.node().getAvailableSpace():new Cr(0,0,i,a)},enumerable:!1,configurable:!0}),t.prototype.getBBox=function(){var e,r,i=(e=this.title)===null||e===void 0?void 0:e.node(),a=(r=this.items)===null||r===void 0?void 0:r.node();return!i||!a?n.prototype.getBBox.call(this):QD(i,a)},t.prototype.render=function(e,r){var i=this.attributes,a=i.width,s=i.height,o=i.x,l=o===void 0?0:o,c=i.y,u=c===void 0?0:c,h=ve(r);r.style.transform="translate(".concat(l,", ").concat(u,")"),this.renderTitle(h,a,s),this.renderItems(h,this.availableSpace),this.adjustLayout()},t}(Ln);function a0(n){const{width:t,height:e,renderer:r}=n,i=QI(n),a=new gf({width:t,height:e,container:i,renderer:r||new Sl});return[i,a]}function QI(n){var t;const{container:e,className:r,graphCanvas:i}=n;if(e)return typeof e=="string"?document.getElementById(e):e;const a=So(r,!1),{width:s,height:o,containerStyle:l}=n,[c,u]=qI(n);return Object.assign(a.style,Object.assign({position:"absolute",left:c+"px",top:u+"px",width:s+"px",height:o+"px"},l)),(t=i.getContainer())===null||t===void 0||t.appendChild(a),a}function qI(n){const{width:t,height:e,placement:r,graphCanvas:i}=n,[a,s]=i.getSize(),[o,l]=My(r);return[o*(a-t),l*(s-e)]}var JI=function(n,t){var e={};for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&t.indexOf(r)<0&&(e[r]=n[r]);if(n!=null&&typeof Object.getOwnPropertySymbols=="function")for(var i=0,r=Object.getOwnPropertySymbols(n);i{const{graph:r}=this.context;r.on(Kt.AFTER_DRAW,this.createElement)},this.changeState=(r,i)=>{const{graph:a}=this.context,{typePrefix:s}=this,o=yr(r,[s,"id"]),l=yr(r,[s,"style","labelText"]),[c]=o.split("__"),u=this.fieldMap[c].get(l)||[];a.setElementState(Object.fromEntries(u==null?void 0:u.map(h=>[h,i])))},this.click=r=>{if(this.options.trigger==="hover")return;const i=yr(r,[this.typePrefix,"id"]);this.selectedItems.includes(i)?(this.selectedItems=this.selectedItems.filter(a=>a!==i),this.changeState(r,[])):(this.selectedItems.push(i),this.changeState(r,"selected"))},this.mouseleave=r=>{this.options.trigger!=="click"&&(this.selectedItems=[],this.changeState(r,[]))},this.mouseenter=r=>{if(this.options.trigger==="click")return;const i=yr(r,[this.typePrefix,"id"]);this.selectedItems.includes(i)?this.selectedItems=this.selectedItems.filter(a=>a!==i):(this.selectedItems.push(i),this.changeState(r,"active"))},this.setFieldMap=(r,i,a)=>{if(!r)return;const s=this.fieldMap[a];if(s)if(!s.has(r))s.set(r,[i]);else{const o=s.get(r);o&&(o.push(i),s.set(r,o))}},this.getEvents=()=>({mouseenter:this.mouseenter,mouseleave:this.mouseleave,click:this.click}),this.getMarkerData=(r,i)=>{if(!r)return[];const{model:a,element:s}=this.context,{nodes:o,edges:l,combos:c}=a.getData(),u={},h=p=>fe(r)?r(p):r,d={node:"circle",edge:"line",combo:"rect"},f={circle:"circle",ellipse:"circle",image:"bowtie",rect:"square",star:"cross",triangle:"triangle",diamond:"diamond",cubic:"dot",line:"hyphen",polyline:"hyphen",quadratic:"hv","cubic-horizontal":"hyphen","cubic-vertical":"line"},v=(p,y)=>s==null?void 0:s.getElementComputedStyle(p,y),g=(p,y)=>{p.forEach(b=>{const{id:E}=b,O=yr(b,["data",h(b)]),P=(s==null?void 0:s.getElementType(y,b))||"circle",L=v(y,b),F=(y==="edge"?L==null?void 0:L.stroke:L==null?void 0:L.fill)||"#1783ff";E&&O&&O.replace(/\s+/g,"")&&(this.setFieldMap(O,E,y),u[O]||(u[O]={id:`${y}__${E}`,label:O,marker:f[P]||d[y],elementType:y,lineWidth:1,stroke:F,fill:F}))})};switch(i){case"node":g(o,"node");break;case"edge":g(l,"edge");break;case"combo":g(c,"combo");break;default:return[]}return Object.values(u)},this.createElement=()=>{if(this.draw){this.updateElement();return}const r=this.options,{width:i,height:a,nodeField:s,edgeField:o,comboField:l,trigger:c,position:u,container:h,containerStyle:d,className:f}=r,v=JI(r,["width","height","nodeField","edgeField","comboField","trigger","position","container","containerStyle","className"]),g=this.getMarkerData(s,"node"),p=this.getMarkerData(o,"edge"),y=this.getMarkerData(l,"combo"),b=[...g,...y,...p],E=Object.assign({width:i,height:a,data:b,itemMarkerLineWidth:({lineWidth:L})=>L,itemMarker:({marker:L})=>L,itemMarkerStroke:({stroke:L})=>L,itemMarkerFill:({fill:L})=>L,gridCol:g.length},v,this.getEvents()),O=new KI({className:"legend",style:E});this.category=O,this.upsertCanvas().appendChild(O),this.draw=!0},this.bindEvents()}update(t){super.update(t),this.clear(),this.createElement()}clear(){var t,e;(t=this.canvas)===null||t===void 0||t.destroy(),(e=this.container)===null||e===void 0||e.remove(),this.canvas=void 0,this.container=void 0,this.draw=!1}updateElement(){this.category&&this.category.update({itemMarkerOpacity:({id:t})=>!this.selectedItems.length||this.selectedItems.includes(t)?1:.5,itemLabelOpacity:({id:t})=>!this.selectedItems.length||this.selectedItems.includes(t)?1:.5})}upsertCanvas(){if(this.canvas)return this.canvas;const t=this.context.canvas,[e,r]=t.getSize(),{width:i=e,height:a=r,position:s,container:o,containerStyle:l,className:c}=this.options,[u,h]=a0({width:i,height:a,graphCanvas:t,container:o,containerStyle:l,placement:s,className:"legend"});return this.container=u,c&&u.classList.add(c),this.canvas=h,this.canvas}destroy(){this.clear(),this.context.graph.off(Kt.AFTER_DRAW,this.createElement),super.destroy()}}Rh.defaultOptions={position:"bottom",trigger:"hover",orientation:"horizontal",layout:"flex",itemSpacing:4,rowPadding:10,colPadding:10,itemMarkerSize:16,itemLabelFontSize:16,width:240,height:160};class Lh extends br{constructor(t,e){super(t,Object.assign({},Lh.defaultOptions,e)),this.onDraw=r=>{var i;!((i=r==null?void 0:r.data)===null||i===void 0)&&i.render||this.onRender()},this.shapes=new Map,this.landmarkMap=new Map,this.mask=null,this.isMaskDragging=!1,this.onMaskDragStart=r=>{this.mask&&(this.isMaskDragging=!0,this.mask.setPointerCapture(r.pointerId),this.mask.addEventListener("pointermove",this.onMaskDrag),this.mask.addEventListener("pointerup",this.onMaskDragEnd),this.mask.addEventListener("pointercancel",this.onMaskDragEnd))},this.onMaskDrag=r=>{if(!this.mask||!this.isMaskDragging)return;const{size:[i,a]}=this.options,{movementX:s,movementY:o}=r,{left:l,top:c,width:u,height:h}=this.mask.style,[,,d,f]=this.maskBBox;let v=parseInt(l)+s,g=parseInt(c)+o,p=parseInt(u),y=parseInt(h);v<0&&(v=0),g<0&&(g=0),v+p>i&&(v=Ja(i-p,0)),g+y>a&&(g=Ja(a-y,0)),p0?(v=Ja(v-s,0),p=qa(p+s,i)):s<0&&(p=qa(p-s,i))),y0?(g=Ja(g-o,0),y=qa(y+o,a)):o<0&&(y=qa(y-o,a))),Object.assign(this.mask.style,{left:v+"px",top:g+"px",width:p+"px",height:y+"px"});const b=parseInt(l)-v,E=parseInt(c)-g;if(b===0&&E===0)return;const O=this.context.canvas.getCamera().getZoom(),P=this.canvas.getCamera().getZoom(),L=O/P;this.context.graph.translateBy([b*L,E*L],!1)},this.onMaskDragEnd=r=>{this.mask&&(this.isMaskDragging=!1,this.mask.releasePointerCapture(r.pointerId),this.mask.removeEventListener("pointermove",this.onMaskDrag),this.mask.removeEventListener("pointerup",this.onMaskDragEnd),this.mask.removeEventListener("pointercancel",this.onMaskDragEnd))},this.onTransform=Rm(()=>{this.isMaskDragging||(this.updateMask(),this.setCamera())},32,{leading:!0}),this.setOnRender(),this.bindEvents()}update(t){this.unbindEvents(),super.update(t),"delay"in t&&this.setOnRender(),this.bindEvents()}setOnRender(){this.onRender=Cl(()=>{this.renderMinimap(),this.renderMask()},this.options.delay)}bindEvents(){const{graph:t}=this.context;t.on(Kt.AFTER_DRAW,this.onDraw),t.on(Kt.AFTER_RENDER,this.onRender),t.on(Kt.AFTER_ANIMATE,this.onRender),t.on(Kt.AFTER_TRANSFORM,this.onTransform)}unbindEvents(){const{graph:t}=this.context;t.off(Kt.AFTER_DRAW,this.onDraw),t.off(Kt.AFTER_RENDER,this.onRender),t.off(Kt.AFTER_ANIMATE,this.onRender),t.off(Kt.AFTER_TRANSFORM,this.onTransform)}renderMinimap(){const t=this.getElements(),e=this.initCanvas();this.setShapes(e,t)}getElements(){const{filter:t}=this.options,{model:e,element:r}=this.context,i=e.getData(),a={nodes:i.nodes.filter(c=>r==null?void 0:r.getElement(At(c))),edges:i.edges.filter(c=>{const u=r==null?void 0:r.getElement(At(c));return u&&T1(u)}),combos:i.combos.filter(c=>r==null?void 0:r.getElement(At(c)))};if(!t)return a;const{nodes:s,edges:o,combos:l}=a;return{nodes:s.filter(c=>t(At(c),"node")),edges:o.filter(c=>t(At(c),"edge")),combos:l.filter(c=>t(At(c),"combo"))}}setShapes(t,e){const{nodes:r,edges:i,combos:a}=e,{shape:s}=this.options,{element:o}=this.context;if(s==="key"){const c=new Set,u=h=>{const d=At(h);c.add(d);const f=o.getElement(d);if(!f)return;const v=f.getShape("key"),g=this.shapes.get(d)||v.cloneNode();g.setPosition(v.getPosition()),f.style.zIndex&&(g.style.zIndex=f.style.zIndex),g.id=f.id,this.shapes.has(d)?Object.entries(v.attributes).forEach(([p,y])=>{g.style[p]!==y&&(g.style[p]=y)}):(t.appendChild(g),this.shapes.set(d,g))};i.forEach(u),a.forEach(u),r.forEach(u),this.shapes.forEach((h,d)=>{c.has(d)||(t.removeChild(h),this.shapes.delete(d))});return}const l=(c,u)=>{const d=o.getElement(c).getPosition();return u.setPosition(d),u};t.removeChildren(),i.forEach(c=>t.appendChild(s(At(c),"edge"))),a.forEach(c=>{t.appendChild(l(At(c),s(At(c),"combo")))}),r.forEach(c=>{t.appendChild(l(At(c),s(At(c),"node")))})}initCanvas(){const{renderer:t,size:[e,r]}=this.options;if(this.canvas){const{width:i,height:a}=this.canvas.getConfig();(e!==i||r!==a)&&this.canvas.resize(e,r),t&&this.canvas.setRenderer(t)}else{const{className:i,position:a,container:s,containerStyle:o}=this.options,[l,c]=a0({renderer:t,width:e,height:r,placement:a,className:"minimap",container:s,containerStyle:o,graphCanvas:this.context.canvas});i&&l.classList.add(i),this.container=l,this.canvas=c}return this.setCamera(),this.canvas}createLandmark(t,e,r){const i=`${t.join(",")}-${e.join(",")}-${r}`;if(this.landmarkMap.has(i))return this.landmarkMap.get(i);const s=this.canvas.getCamera().createLandmark(i,{position:t,focalPoint:e,zoom:r});return this.landmarkMap.set(i,s),s}setCamera(){var t;const{canvas:e}=this.context,r=(t=this.canvas)===null||t===void 0?void 0:t.getCamera();if(!r)return;const{size:[i,a],padding:s}=this.options,[o,l,c,u]=Ri(s),{min:h,max:d,center:f}=e.getBounds("elements"),v=d[0]-h[0],g=d[1]-h[1],p=i-u-l,y=a-o-c,b=p/v,E=y/g,O=Math.min(b,E),P=this.createLandmark(f,f,O);r.gotoLandmark(P,0)}get maskBBox(){const{canvas:t}=this.context,e=t.getSize(),r=t.getCanvasByViewport([0,0]),i=t.getCanvasByViewport(e),a=this.canvas.canvas2Viewport(Bi(r)),s=this.canvas.canvas2Viewport(Bi(i)),o=s.x-a.x,l=s.y-a.y;return[a.x,a.y,o,l]}calculateMaskBBox(){const{size:[t,e]}=this.options;let[r,i,a,s]=this.maskBBox;return 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0||r.remove(),super.destroy()}}Lh.defaultOptions={size:[240,160],shape:"key",padding:10,position:"right-bottom",maskStyle:{border:"1px solid #ddd",background:"rgba(0, 0, 0, 0.1)"},containerStyle:{border:"1px solid #ddd",background:"#fff"},delay:128};const qa=(n,t)=>Math.min(n,t),Ja=(n,t)=>Math.max(n,t);var s0=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};const o0={x1:0,y1:0,x2:0,y2:0,visibility:"hidden"};class _h extends br{constructor(t,e){super(t,Object.assign({},_h.defaultOptions,e)),this.initSnapline=()=>{const r=this.context.canvas.getLayer("transient");this.horizontalLine||(this.horizontalLine=r.appendChild(new As({style:Object.assign(Object.assign({},o0),this.options.horizontalLineStyle)}))),this.verticalLine||(this.verticalLine=r.appendChild(new As({style:Object.assign(Object.assign({},o0),this.options.verticalLineStyle)})))},this.isHorizontalSticking=!1,this.isVerticalSticking=!1,this.enableStick=!0,this.autoSnapToLine=(r,i,a)=>s0(this,void 0,void 0,function*(){const{verticalX:s,horizontalY:o}=a,{tolerance:l}=this.options,{min:[c,u],max:[h,d],center:[f,v]}=i;let g=0,p=0;s!==null&&(kr(h,s){const{target:i}=r,a=.5;if(this.isHorizontalSticking||this.isVerticalSticking){const[s,o]=this.getDelta(r);if(this.isHorizontalSticking&&this.isVerticalSticking&&Math.abs(s)<=a&&Math.abs(o)<=a)return this.context.graph.translateElementBy({[i.id]:[-s,-o]},!1),!1;if(this.isHorizontalSticking&&Math.abs(o)<=a)return this.context.graph.translateElementBy({[i.id]:[0,-o]},!1),!1;if(this.isVerticalSticking&&Math.abs(s)<=a)return this.context.graph.translateElementBy({[i.id]:[-s,0]},!1),!1;this.isHorizontalSticking=!1,this.isVerticalSticking=!1,this.enableStick=!1,setTimeout(()=>{this.enableStick=!0},200)}return this.enableStick},this.calcSnaplineMetadata=(r,i)=>{const{tolerance:a,shape:s}=this.options,{min:[o,l],max:[c,u],center:[h,d]}=i;let f=null,v=null,g=null,p=null,y=null,b=null;return this.getNodes().some(E=>{if(Zn(r.id,E.id))return!1;const O=Ox(E,s).getRenderBounds(),{min:[P,L],max:[F,I],center:[V,Y]}=O;return f===null&&(kr(V,h){this.initSnapline()},this.onDrag=r=>s0(this,void 0,void 0,function*(){const{target:i}=r;if(this.options.autoSnap&&!this.enableSnap(r))return;const a=Ox(i,this.options.shape).getRenderBounds(),s=this.calcSnaplineMetadata(i,a);this.hideSnapline(),(s.verticalX!==null||s.horizontalY!==null)&&this.updateSnapline(s),this.options.autoSnap&&(yield this.autoSnapToLine(i.id,a,s))}),this.onDragEnd=()=>{this.hideSnapline()},this.bindEvents()}getNodes(){var t;const{filter:e}=this.options,i=(((t=this.context.element)===null||t===void 0?void 0:t.getNodes())||[]).filter(a=>{var s;return T1(a)&&((s=this.context.viewport)===null||s===void 0?void 0:s.isInViewport(a.getRenderBounds()))});return e?i.filter(a=>e(a)):i}hideSnapline(){this.horizontalLine.style.visibility="hidden",this.verticalLine.style.visibility="hidden"}getLineWidth(t){const{lineWidth:e}=this.options[`${t}LineStyle`];return+(e||o0.lineWidth||1)/this.context.graph.getZoom()}updateSnapline(t){const{verticalX:e,verticalMinY:r,verticalMaxY:i,horizontalY:a,horizontalMinX:s,horizontalMaxX:o}=t,[l,c]=this.context.canvas.getSize(),{offset:u}=this.options;a!==null?Object.assign(this.horizontalLine.style,{x1:u===1/0?0:s-u,y1:a,x2:u===1/0?l:o+u,y2:a,visibility:"visible",lineWidth:this.getLineWidth("horizontal")}):this.horizontalLine.style.visibility="hidden",e!==null?Object.assign(this.verticalLine.style,{x1:e,y1:u===1/0?0:r-u,x2:e,y2:u===1/0?c:i+u,visibility:"visible",lineWidth:this.getLineWidth("vertical")}):this.verticalLine.style.visibility="hidden"}getDelta(t){const e=this.context.graph.getZoom();return Ii([t.dx,t.dy],e)}bindEvents(){return s0(this,void 0,void 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a<0?e.map(a):e.map(i<0?0:i)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"containerShape",{get:function(){var e=this.attributes,r=e.width,i=e.height;return{width:r,height:i}},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"linesStyle",{get:function(){var e=this,r=this.attributes,i=r.type,a=r.isStack,s=r.smooth;if(i!=="line")throw new Error("linesStyle can only be used in line type");var o=ke(this.attributes,"area"),l=ke(this.attributes,"line"),c=this.containerShape.width,u=this.data;if(u[0].length===0)return{lines:[],areas:[]};var h=this.scales,d=h.x,f=h.y,v=B5(u,{type:"line",x:d,y:f}),g=[];if(o){var p=this.baseline;a?g=s?j5(v,c,p):z5(v,c,p):g=F5(v,s,c,p)}return{lines:v.map(function(y,b){return(0,G.pi)({stroke:e.getColor(b),d:s?Vh(y):Gl(y)},l)}),areas:g.map(function(y,b){return(0,G.pi)({d:y,fill:e.getColor(b)},o)})}},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"columnsStyle",{get:function(){var e=this,r=ke(this.attributes,"column"),i=this.attributes,a=i.isStack,s=i.type,o=i.scale;if(s!=="column")throw new Error("columnsStyle can only be used in column type");var l=this.containerShape.height,c=this.rawData;if(!c)return{columns:[]};a&&(c=uE(c));var u=this.createScales(c),h=u.x,d=u.y,f=(0,G.CR)(cE(c),2),v=f[0],g=f[1],p=new Wl({domain:[0,g-(v>0?0:v)],range:[0,l*o]}),y=h.getBandWidth(),b=this.rawData;return{columns:c.map(function(E,O){return E.map(function(P,L){var F=y/c.length,I=function(){return{x:h.map(L)+F*O,y:P>=0?d.map(P):d.map(0),width:F,height:p.map(Math.abs(P))}},V=function(){return{x:h.map(L),y:d.map(P),width:y,height:p.map(b[O][L])}};return(0,G.pi)((0,G.pi)({fill:e.getColor(O)},r),a?V():I())})})}},enumerable:!1,configurable:!0}),t.prototype.render=function(e,r){KD(r,".container","rect").attr("className","container").node();var i=e.type,a=e.x,s=e.y,o="spark".concat(i),l=(0,G.pi)({x:a,y:s},i==="line"?this.linesStyle:this.columnsStyle);ve(r).selectAll(".spark").data([i]).join(function(c){return c.append(function(u){return u==="line"?new _5({className:o,style:l}):new L5({className:o,style:l})}).attr("className","spark ".concat(o))},function(c){return c.update(l)},function(c){return c.remove()})},t.prototype.getColor=function(e){var r=this.attributes.color;return Wr(r)?r[e%r.length]:fe(r)?r.call(null,e):r},t.prototype.createScales=function(e){var r,i,a=this.attributes,s=a.type,o=a.scale,l=a.range,c=l===void 0?[]:l,u=a.spacing,h=this.containerShape,d=h.width,f=h.height,v=(0,G.CR)(cE(e),2),g=v[0],p=v[1],y=new Wl({domain:[(r=c[0])!==null&&r!==void 0?r:g,(i=c[1])!==null&&i!==void 0?i:p],range:[f,f*(1-o)]});return s==="line"?{type:s,x:new Wl({domain:[0,e[0].length-1],range:[0,d]}),y}:{type:s,x:new O0({domain:e[0].map(function(b,E){return E}),range:[0,d],paddingInner:u,paddingOuter:u/2,align:.5}),y}},t.tag="sparkline",t}(Ln),hE={fill:"#fff",lineWidth:1,radius:2,size:10,stroke:"#bfbfbf",strokeOpacity:1,zIndex:0},dE={fill:"#000",fillOpacity:.45,fontSize:12,textAlign:"center",textBaseline:"middle",zIndex:1},fE={x:0,y:0,orientation:"horizontal",showLabel:!0,type:"start"},aa=Zi({foreground:"foreground",handle:"handle",selection:"selection",sparkline:"sparkline",sparklineGroup:"sparkline-group",track:"track",brushArea:"brush-area"},"slider"),$a=Zi({labelGroup:"label-group",label:"label",iconGroup:"icon-group",icon:"icon",iconRect:"icon-rect",iconLine:"icon-line"},"handle"),V5=function(n){(0,G.ZT)(t,n);function t(){return n!==null&&n.apply(this,arguments)||this}return t.prototype.render=function(e,r){var i=e.x,a=e.y,s=e.size,o=s===void 0?10:s,l=e.radius,c=l===void 0?o/4:l,u=e.orientation,h=(0,G._T)(e,["x","y","size","radius","orientation"]),d=o,f=d*2.4,v=ve(r).maybeAppendByClassName($a.iconRect,"rect").styles((0,G.pi)((0,G.pi)({},h),{width:d,height:f,radius:c,x:i-d/2,y:a-f/2,transformOrigin:"center"})),g=i+1/3*d-d/2,p=i+2/3*d-d/2,y=a+1/4*f-f/2,b=a+3/4*f-f/2;v.maybeAppendByClassName("".concat($a.iconLine,"-1"),"line").styles((0,G.pi)({x1:g,x2:g,y1:y,y2:b},h)),v.maybeAppendByClassName("".concat($a.iconLine,"-2"),"line").styles((0,G.pi)({x1:p,x2:p,y1:y,y2:b},h)),u==="vertical"&&(v.node().style.transform="rotate(90)")},t}(Ln),U5=function(n){(0,G.ZT)(t,n);function t(e){return n.call(this,e,fE)||this}return t.prototype.renderLabel=function(e){var r=this,i=this.attributes,a=i.x,s=i.y,o=i.showLabel,l=ke(this.attributes,"label"),c=l.x,u=c===void 0?0:c,h=l.y,d=h===void 0?0:h,f=l.transform,v=l.transformOrigin,g=(0,G._T)(l,["x","y","transform","transformOrigin"]),p=(0,G.CR)(Ea(g,[]),2),y=p[0],b=p[1],E=ve(e).maybeAppendByClassName($a.labelGroup,"g").styles(b),O=(0,G.pi)((0,G.pi)({},dE),y),P=O.text,L=(0,G._T)(O,["text"]);Qr(!!o,E,function(F){r.label=F.maybeAppendByClassName($a.label,"text").styles((0,G.pi)((0,G.pi)({},L),{x:a+u,y:s+d,transform:f,transformOrigin:v,text:"".concat(P)})),r.label.on("mousedown",function(I){I.stopPropagation()}),r.label.on("touchstart",function(I){I.stopPropagation()})})},t.prototype.renderIcon=function(e){var r=this.attributes,i=r.x,a=r.y,s=r.orientation,o=r.type,l=(0,G.pi)((0,G.pi)({x:i,y:a,orientation:s},hE),ke(this.attributes,"icon")),c=this.attributes.iconShape,u=c===void 0?function(){return new V5({style:l})}:c,h=ve(e).maybeAppendByClassName($a.iconGroup,"g");h.selectAll($a.icon.class).data([u]).join(function(d){return d.append(typeof u=="string"?u:function(){return u(o)}).attr("className",$a.icon.name)},function(d){return d.update(l)},function(d){return d.remove()})},t.prototype.render=function(e,r){this.renderIcon(r),this.renderLabel(r)},t}(Ln),Y5=function(n){(0,G.ZT)(t,n);function t(e){var r=n.call(this,e,(0,G.pi)((0,G.pi)((0,G.pi)({x:0,y:0,animate:{duration:100,fill:"both"},brushable:!0,formatter:function(i){return i.toString()},handleSpacing:2,orientation:"horizontal",padding:0,autoFitLabel:!0,scrollable:!0,selectionFill:"#5B8FF9",selectionFillOpacity:.45,selectionZIndex:2,showHandle:!0,showLabel:!0,slidable:!0,trackFill:"#416180",trackLength:200,trackOpacity:.05,trackSize:20,trackZIndex:-1,values:[0,1],type:"range",selectionType:"select",handleIconOffset:0},Mo(fE,"handle")),Mo(hE,"handleIcon")),Mo(dE,"handleLabel")))||this;return r.range=[0,1],r.onDragStart=function(i){return function(a){a.stopPropagation(),r.target=i,r.prevPos=r.getOrientVal($x(a));var s=r.availableSpace,o=s.x,l=s.y,c=r.getBBox(),u=c.x,h=c.y;r.selectionStartPos=r.getRatio(r.prevPos-r.getOrientVal([o,l])-r.getOrientVal([+u,+h])),r.selectionWidth=0,document.addEventListener("pointermove",r.onDragging),document.addEventListener("pointerup",r.onDragEnd)}},r.onDragging=function(i){var a=r.attributes,s=a.slidable,o=a.brushable,l=a.type;i.stopPropagation();var c=r.getOrientVal($x(i)),u=c-r.prevPos;if(u){var h=r.getRatio(u);switch(r.target){case"start":s&&r.setValuesOffset(h);break;case"end":s&&r.setValuesOffset(0,h);break;case"selection":s&&r.setValuesOffset(h,h);break;case"track":if(!o)return;r.selectionWidth+=h,l==="range"?r.innerSetValues([r.selectionStartPos,r.selectionStartPos+r.selectionWidth].sort(),!0):r.innerSetValues([0,r.selectionStartPos+r.selectionWidth],!0);break;default:break}r.prevPos=c}},r.onDragEnd=function(){document.removeEventListener("pointermove",r.onDragging),document.removeEventListener("pointermove",r.onDragging),document.removeEventListener("pointerup",r.onDragEnd),r.target="",r.updateHandlesPosition(!1)},r.onValueChange=function(i){var a=r.attributes,s=a.onChange,o=a.type,l=o==="range"?i:i[1],c=o==="range"?r.getValues():r.getValues()[1],u=new Kn("valuechange",{detail:{oldValue:l,value:c}});r.dispatchEvent(u),s==null||s(c)},r.selectionStartPos=0,r.selectionWidth=0,r.prevPos=0,r.target="",r}return Object.defineProperty(t.prototype,"values",{get:function(){return this.attributes.values},set:function(e){this.attributes.values=this.clampValues(e)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"sparklineStyle",{get:function(){var e=this.attributes.orientation;if(e!=="horizontal")return null;var r=ke(this.attributes,"sparkline");return(0,G.pi)((0,G.pi)({zIndex:0},this.availableSpace),r)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"shape",{get:function(){var e=this.attributes,r=e.trackLength,i=e.trackSize,a=(0,G.CR)(this.getOrientVal([[r,i],[i,r]]),2),s=a[0],o=a[1];return{width:s,height:o}},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"availableSpace",{get:function(){var e=this.attributes,r=e.x,i=e.y,a=e.padding,s=(0,G.CR)(xr(a),4),o=s[0],l=s[1],c=s[2],u=s[3],h=this.shape,d=h.width,f=h.height;return{x:u,y:o,width:d-(u+l),height:f-(o+c)}},enumerable:!1,configurable:!0}),t.prototype.getValues=function(){return this.values},t.prototype.setValues=function(e,r){e===void 0&&(e=[0,0]),r===void 0&&(r=!1),this.attributes.values=e;var i=r===!1?!1:this.attributes.animate;this.updateSelectionArea(i),this.updateHandlesPosition(i)},t.prototype.updateSelectionArea=function(e){var r=this.calcSelectionArea();this.foregroundGroup.selectAll(aa.selection.class).each(function(i,a){Wi(this,r[a],e)})},t.prototype.updateHandlesPosition=function(e){this.attributes.showHandle&&(this.startHandle&&Wi(this.startHandle,this.getHandleStyle("start"),e),this.endHandle&&Wi(this.endHandle,this.getHandleStyle("end"),e))},t.prototype.innerSetValues=function(e,r){e===void 0&&(e=[0,0]),r===void 0&&(r=!1);var i=this.values,a=this.clampValues(e);this.attributes.values=a,this.setValues(a),r&&this.onValueChange(i)},t.prototype.renderTrack=function(e){var r=this.attributes,i=r.x,a=r.y,s=ke(this.attributes,"track");this.trackShape=ve(e).maybeAppendByClassName(aa.track,"rect").styles((0,G.pi)((0,G.pi)({x:i,y:a},this.shape),s))},t.prototype.renderBrushArea=function(e){var r=this.attributes,i=r.x,a=r.y,s=r.brushable;this.brushArea=ve(e).maybeAppendByClassName(aa.brushArea,"rect").styles((0,G.pi)({x:i,y:a,fill:"transparent",cursor:s?"crosshair":"default"},this.shape))},t.prototype.renderSparkline=function(e){var r=this,i=this.attributes,a=i.x,s=i.y,o=i.orientation,l=ve(e).maybeAppendByClassName(aa.sparklineGroup,"g");Qr(o==="horizontal",l,function(c){var u=(0,G.pi)((0,G.pi)({},r.sparklineStyle),{x:a,y:s});c.maybeAppendByClassName(aa.sparkline,function(){return new G5({style:u})}).update(u)})},t.prototype.renderHandles=function(){var e=this,r,i=this.attributes,a=i.showHandle,s=i.type,o=s==="range"?["start","end"]:["end"],l=a?o:[],c=this;(r=this.foregroundGroup)===null||r===void 0||r.selectAll(aa.handle.class).data(l.map(function(u){return{type:u}}),function(u){return u.type}).join(function(u){return u.append(function(h){var d=h.type;return new U5({style:e.getHandleStyle(d)})}).each(function(h){var d=h.type;this.attr("class","".concat(aa.handle.name," ").concat(d,"-handle"));var f="".concat(d,"Handle");c[f]=this,this.addEventListener("pointerdown",c.onDragStart(d))})},function(u){return u.each(function(h){var d=h.type;this.update(c.getHandleStyle(d))})},function(u){return u.each(function(h){var d=h.type,f="".concat(d,"Handle");c[f]=void 0}).remove()})},t.prototype.renderSelection=function(e){var r=this.attributes,i=r.x,a=r.y,s=r.type,o=r.selectionType;this.foregroundGroup=ve(e).maybeAppendByClassName(aa.foreground,"g");var l=ke(this.attributes,"selection"),c=function(h){return h.style("visibility",function(d){return d.show?"visible":"hidden"}).style("cursor",function(d){return o==="select"?"grab":o==="invert"?"crosshair":"default"}).styles((0,G.pi)((0,G.pi)({},l),{transform:"translate(".concat(i,", ").concat(a,")")}))},u=this;this.foregroundGroup.selectAll(aa.selection.class).data(s==="value"?[]:this.calcSelectionArea().map(function(h,d){return{style:(0,G.pi)({},h),index:d,show:o==="select"?d===1:d!==1}}),function(h){return h.index}).join(function(h){return h.append("rect").attr("className",aa.selection.name).call(c).each(function(d,f){var v=this;f===1?(u.selectionShape=ve(this),this.on("pointerdown",function(g){v.attr("cursor","grabbing"),u.onDragStart("selection")(g)}),u.dispatchCustomEvent(this,"pointerenter","selectionMouseenter"),u.dispatchCustomEvent(this,"pointerleave","selectionMouseleave"),u.dispatchCustomEvent(this,"click","selectionClick"),this.addEventListener("pointerdown",function(){v.attr("cursor","grabbing")}),this.addEventListener("pointerup",function(){v.attr("cursor","pointer")}),this.addEventListener("pointerover",function(){v.attr("cursor","pointer")})):this.on("pointerdown",u.onDragStart("track"))})},function(h){return h.call(c)},function(h){return h.remove()}),this.updateSelectionArea(!1),this.renderHandles()},t.prototype.render=function(e,r){this.renderTrack(r),this.renderSparkline(r),this.renderBrushArea(r),this.renderSelection(r)},t.prototype.clampValues=function(e,r){var i;r===void 0&&(r=4);var a=(0,G.CR)(this.range,2),s=a[0],o=a[1],l=(0,G.CR)(this.getValues().map(function(p){return y0(p,r)}),2),c=l[0],u=l[1],h=Array.isArray(e)?e:[c,e!=null?e:u],d=(0,G.CR)((h||[c,u]).map(function(p){return y0(p,r)}),2),f=d[0],v=d[1];if(this.attributes.type==="value")return[0,kn(v,s,o)];f>v&&(i=(0,G.CR)([v,f],2),f=i[0],v=i[1]);var g=v-f;return g>o-s?[s,o]:fo?u===o&&c===f?[f,o]:[o-g,o]:[f,v]},t.prototype.calcSelectionArea=function(e){var r=(0,G.CR)(this.clampValues(e),2),i=r[0],a=r[1],s=this.availableSpace,o=s.x,l=s.y,c=s.width,u=s.height;return this.getOrientVal([[{y:l,height:u,x:o,width:i*c},{y:l,height:u,x:i*c+o,width:(a-i)*c},{y:l,height:u,x:a*c,width:(1-a)*c}],[{x:o,width:c,y:l,height:i*u},{x:o,width:c,y:i*u+l,height:(a-i)*u},{x:o,width:c,y:a*u,height:(1-a)*u}]])},t.prototype.calcHandlePosition=function(e){var r=this.attributes.handleIconOffset,i=this.availableSpace,a=i.x,s=i.y,o=i.width,l=i.height,c=(0,G.CR)(this.clampValues(),2),u=c[0],h=c[1],d=e==="start"?-r:r,f=(e==="start"?u:h)*this.getOrientVal([o,l])+d;return{x:a+this.getOrientVal([f,o/2]),y:s+this.getOrientVal([l/2,f])}},t.prototype.inferTextStyle=function(e){var r=this.attributes.orientation;return r==="horizontal"?{}:e==="start"?{transformOrigin:"left center",transform:"rotate(90)",textAlign:"start"}:e==="end"?{transformOrigin:"right center",transform:"rotate(90)",textAlign:"end"}:{}},t.prototype.calcHandleText=function(e){var r,i=this.attributes,a=i.type,s=i.orientation,o=i.formatter,l=i.autoFitLabel,c=ke(this.attributes,"handle"),u=ke(c,"label"),h=c.spacing,d=this.getHandleSize(),f=this.clampValues(),v=e==="start"?f[0]:f[1],g=o(v),p=new Jv({style:(0,G.pi)((0,G.pi)((0,G.pi)({},u),this.inferTextStyle(e)),{text:g})}),y=p.getBBox(),b=y.width,E=y.height;if(p.destroy(),!l){if(a==="value")return{text:g,x:0,y:-E-h};var O=h+d+(s==="horizontal"?b/2:0);return r={text:g},r[s==="horizontal"?"x":"y"]=e==="start"?-O:O,r}var P=0,L=0,F=this.availableSpace,I=F.width,V=F.height,Y=this.calcSelectionArea()[1],J=Y.x,$=Y.y,ot=Y.width,ct=Y.height,ft=h+d;if(s==="horizontal"){var Nt=ft+b/2;if(e==="start"){var Ot=J-ft-b;P=Ot>0?-Nt:Nt}else{var mt=I-J-ot-ft>b;P=mt?Nt:-Nt}}else{var yt=ft,Rt=E+ft;e==="start"?L=$-d>E?-Rt:yt:L=V-($+ct)-d>E?Rt:-yt}return{x:P,y:L,text:g}},t.prototype.getHandleLabelStyle=function(e){var r=ke(this.attributes,"handleLabel");return(0,G.pi)((0,G.pi)((0,G.pi)({},r),this.calcHandleText(e)),this.inferTextStyle(e))},t.prototype.getHandleIconStyle=function(){var e=this.attributes.handleIconShape,r=ke(this.attributes,"handleIcon"),i=this.getOrientVal(["ew-resize","ns-resize"]),a=this.getHandleSize();return(0,G.pi)({cursor:i,shape:e,size:a},r)},t.prototype.getHandleStyle=function(e){var r=this.attributes,i=r.x,a=r.y,s=r.showLabel,o=r.showLabelOnInteraction,l=r.orientation,c=this.calcHandlePosition(e),u=c.x,h=c.y,d=this.calcHandleText(e),f=s;return!s&&o&&(this.target?f=!0:f=!1),(0,G.pi)((0,G.pi)((0,G.pi)({},Mo(this.getHandleIconStyle(),"icon")),Mo((0,G.pi)((0,G.pi)({},this.getHandleLabelStyle(e)),d),"label")),{transform:"translate(".concat(u+i,", ").concat(h+a,")"),orientation:l,showLabel:f,type:e,zIndex:3})},t.prototype.getHandleSize=function(){var e=this.attributes,r=e.handleIconSize,i=e.width,a=e.height;return r||Math.floor((this.getOrientVal([+a,+i])+4)/2.4)},t.prototype.getOrientVal=function(e){var r=(0,G.CR)(e,2),i=r[0],a=r[1],s=this.attributes.orientation;return s==="horizontal"?i:a},t.prototype.setValuesOffset=function(e,r){r===void 0&&(r=0);var i=this.attributes.type,a=(0,G.CR)(this.getValues(),2),s=a[0],o=a[1],l=i==="range"?e:0,c=[s+l,o+r].sort();this.innerSetValues(c,!0)},t.prototype.getRatio=function(e){var r=this.availableSpace,i=r.width,a=r.height;return e/this.getOrientVal([i,a])},t.prototype.dispatchCustomEvent=function(e,r,i){var a=this;e.on(r,function(s){s.stopPropagation(),a.dispatchEvent(new Kn(i,{detail:s}))})},t.prototype.bindEvents=function(){this.addEventListener("wheel",this.onScroll);var e=this.brushArea;this.dispatchCustomEvent(e,"click","trackClick"),this.dispatchCustomEvent(e,"pointerenter","trackMouseenter"),this.dispatchCustomEvent(e,"pointerleave","trackMouseleave"),e.on("pointerdown",this.onDragStart("track"))},t.prototype.onScroll=function(e){var r=this.attributes.scrollable;if(r){var i=e.deltaX,a=e.deltaY,s=a||i,o=this.getRatio(s);this.setValuesOffset(o,o)}},t.tag="slider",t}(Ln),H5={backgroundFill:"#262626",backgroundLineCap:"round",backgroundLineWidth:1,backgroundStroke:"#333",backgroundZIndex:-1,formatter:function(n){return n.toString()},labelFill:"#fff",labelFontSize:12,labelTextBaseline:"middle",padding:[2,4],position:"right",radius:0,zIndex:999},N0=Zi({background:"background",labelGroup:"label-group",label:"label"},"indicator"),X5=function(n){(0,G.ZT)(t,n);function t(e){var r=n.call(this,e,H5)||this;return r.point=[0,0],r.group=r.appendChild(new rr({})),r.isMutationObserved=!0,r}return t.prototype.renderBackground=function(){if(this.label){var e=this.attributes,r=e.position,i=e.padding,a=(0,G.CR)(xr(i),4),s=a[0],o=a[1],l=a[2],c=a[3],u=this.label.node().getLocalBounds(),h=u.min,d=u.max,f=new Cr(h[0]-c,h[1]-s,d[0]+o-h[0]+c,d[1]+l-h[1]+s),v=this.getPath(r,f),g=ke(this.attributes,"background");this.background=ve(this.group).maybeAppendByClassName(N0.background,"path").styles((0,G.pi)((0,G.pi)({},g),{d:v})),this.group.appendChild(this.label.node())}},t.prototype.renderLabel=function(){var e=this.attributes,r=e.formatter,i=e.labelText,a=ke(this.attributes,"label"),s=(0,G.CR)(Ea(a),2),o=s[0],l=s[1],c=o.text,u=(0,G._T)(o,["text"]);if(this.label=ve(this.group).maybeAppendByClassName(N0.labelGroup,"g").styles(l),!!i){var h=this.label.maybeAppendByClassName(N0.label,function(){return wa(r(i))}).style("text",r(i).toString());h.selectAll("text").styles(u)}},t.prototype.adjustLayout=function(){var e=(0,G.CR)(this.point,2),r=e[0],i=e[1],a=this.attributes,s=a.x,o=a.y;this.group.attr("transform","translate(".concat(s-r,", ").concat(o-i,")"))},t.prototype.getPath=function(e,r){var i=this.attributes.radius,a=r.x,s=r.y,o=r.width,l=r.height,c=[["M",a+i,s],["L",a+o-i,s],["A",i,i,0,0,1,a+o,s+i],["L",a+o,s+l-i],["A",i,i,0,0,1,a+o-i,s+l],["L",a+i,s+l],["A",i,i,0,0,1,a,s+l-i],["L",a,s+i],["A",i,i,0,0,1,a+i,s],["Z"]],u={top:4,right:6,bottom:0,left:2},h=u[e],d=this.createCorner([c[h].slice(-2),c[h+1].slice(-2)]);return c.splice.apply(c,(0,G.ev)([h+1,1],(0,G.CR)(d),!1)),c[0][0]="M",c},t.prototype.createCorner=function(e,r){r===void 0&&(r=10);var i=.8,a=PI.apply(void 0,(0,G.ev)([],(0,G.CR)(e),!1)),s=(0,G.CR)(e,2),o=(0,G.CR)(s[0],2),l=o[0],c=o[1],u=(0,G.CR)(s[1],2),h=u[0],d=u[1],f=(0,G.CR)(a?[h-l,[l,h]]:[d-c,[c,d]],2),v=f[0],g=(0,G.CR)(f[1],2),p=g[0],y=g[1],b=v/2,E=v/Math.abs(v),O=r*E,P=O/2,L=O*Math.sqrt(3)/2*i,F=(0,G.CR)([p,p+b-P,p+b,p+b+P,y],5),I=F[0],V=F[1],Y=F[2],J=F[3],$=F[4];return a?(this.point=[Y,c-L],[["L",I,c],["L",V,c],["L",Y,c-L],["L",J,c],["L",$,c]]):(this.point=[l+L,Y],[["L",l,I],["L",l,V],["L",l+L,Y],["L",l,J],["L",l,$]])},t.prototype.applyVisibility=function(){var e=this.attributes.visibility;e==="hidden"?ji(this):Dl(this)},t.prototype.bindEvents=function(){this.label.on(De.BOUNDS_CHANGED,this.renderBackground)},t.prototype.render=function(){this.renderLabel(),this.renderBackground(),this.adjustLayout(),this.applyVisibility()},t}(Ln),K5=function(n){(0,G.ZT)(t,n);function t(e){var r=n.call(this,Jn({},t.defaultOptions,e))||this;return r.hoverColor="#f5f5f5",r.selectedColor="#e6f7ff",r.background=r.appendChild(new gr({})),r.label=r.background.appendChild(new rr({})),r}return Object.defineProperty(t.prototype,"padding",{get:function(){return xr(this.style.padding)},enumerable:!1,configurable:!0}),t.prototype.renderLabel=function(){var e=this.style,r=e.label,i=e.value,a=ke(this.attributes,"label");ve(this.label).maybeAppend(".label",function(){return wa(r)}).attr("className","label").styles(a),this.label.attr("__data__",i)},t.prototype.renderBackground=function(){var e=this.label.getBBox(),r=(0,G.CR)(this.padding,4),i=r[0],a=r[1],s=r[2],o=r[3],l=e.width,c=e.height,u=l+o+a,h=c+i+s,d=ke(this.attributes,"background"),f=this.style,v=f.width,g=v===void 0?0:v,p=f.height,y=p===void 0?0:p,b=f.selected;this.background.attr((0,G.pi)((0,G.pi)({},d),{width:Math.max(u,g),height:Math.max(h,y),fill:b?this.selectedColor:"#fff"})),this.label.attr({transform:"translate(".concat(o,", ").concat((h-c)/2,")")})},t.prototype.render=function(){this.renderLabel(),this.renderBackground()},t.prototype.bindEvents=function(){var e=this;this.addEventListener("pointerenter",function(){e.style.selected||e.background.attr("fill",e.hoverColor)}),this.addEventListener("pointerleave",function(){e.style.selected||e.background.attr("fill",e.style.backgroundFill)});var r=this;this.addEventListener("click",function(){var i=e.style,a=i.label,s=i.value,o=i.onClick;o==null||o(s,{label:a,value:s},r)})},t.defaultOptions={style:{value:"",label:"",cursor:"pointer"}},t}(Ln),Q5=function(n){(0,G.ZT)(t,n);function t(e){var r,i,a=n.call(this,Jn({},t.defaultOptions,e))||this;a.currentValue=(r=t.defaultOptions.style)===null||r===void 0?void 0:r.defaultValue,a.isPointerInSelect=!1,a.select=a.appendChild(new gr({className:"select",style:{cursor:"pointer",width:0,height:0}})),a.dropdown=a.appendChild(new gr({className:"dropdown"}));var s=a.style.defaultValue;return s&&(!((i=a.style.options)===null||i===void 0)&&i.some(function(o){return o.value===s}))&&(a.currentValue=s),a}return t.prototype.setValue=function(e){this.currentValue=e,this.render()},t.prototype.getValue=function(){return this.currentValue},Object.defineProperty(t.prototype,"dropdownPadding",{get:function(){return xr(this.style.dropdownPadding)},enumerable:!1,configurable:!0}),t.prototype.renderSelect=function(){var e=this,r,i=this.style,a=i.x,s=i.y,o=i.width,l=i.height,c=i.bordered,u=i.showDropdownIcon,h=ke(this.attributes,"select"),d=ke(this.attributes,"placeholder");this.select.attr((0,G.pi)((0,G.pi)({x:a,y:s,width:o,height:l},h),{fill:"#fff",strokeWidth:c?1:0}));var f=this.dropdownPadding,v=10;u&&ve(this.select).maybeAppend(".dropdown-icon","path").style("d","M-5,-3.5 L0,3.5 L5,-3.5").style("transform","translate(".concat(a+o-v-f[1]-f[3],", ").concat(s+l/2,")")).style("lineWidth",1).style("stroke",this.select.style.stroke);var g=(r=this.style.options)===null||r===void 0?void 0:r.find(function(E){return E.value===e.currentValue}),p=(0,G.pi)({x:a+f[3]},d);ve(this.select).selectAll(".placeholder").data(g?[]:[1]).join(function(E){return E.append("text").attr("className","placeholder").styles(p).style("y",function(){var O=this.getBBox();return s+(l-O.height)/2})},function(E){return E.styles(p)},function(E){return E.remove()});var y=ke(this.attributes,"optionLabel"),b=(0,G.pi)({x:a+f[3]},y);ve(this.select).selectAll(".value").data(g?[g]:[]).join(function(E){return E.append(function(O){return wa(O.label)}).attr("className","value").styles(b).style("y",function(){var O=this.getBBox();return s+(l-O.height)/2})},function(E){return E.styles(b)},function(E){return E.remove()})},t.prototype.renderDropdown=function(){var e=this,r,i,a=this.style,s=a.x,o=a.y,l=a.width,c=a.height,u=a.options,h=a.onSelect,d=a.open,f=ke(this.attributes,"dropdown"),v=ke(this.attributes,"option"),g=this.dropdownPadding;ve(this.dropdown).maybeAppend(".dropdown-container","g").attr("className","dropdown-container").selectAll(".dropdown-item").data(u,function(b){return b.value}).join(function(b){return b.append(function(E){return new K5({className:"dropdown-item",style:(0,G.pi)((0,G.pi)((0,G.pi)({},E),v),{width:l-g[1]-g[3],selected:E.value===e.currentValue,onClick:function(O,P,L){e.setValue(O),h==null||h(O,P,L),e.dispatchEvent(new Kn("change",{detail:{value:O,option:P,item:L}})),ji(e.dropdown)}})})}).each(function(E,O){var P,L=(P=this.parentNode)===null||P===void 0?void 0:P.children,F=L.reduce(function(I,V,Y){return Ya.time?1:0};return e.sort(r)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"space",{get:function(){var e=this.attributes,r=e.x,i=e.y,a=e.width,s=e.height,o=e.type,l=e.controllerHeight,c=kn(+s-l,0,+s),u=new Cr(r,i+ +s-l,+a,l),h,d=0;o==="chart"?(d=35,h=new Cr(r,i+c-d,+a,d)):h=new Cr;var f=o==="time"?10:c,v=new Cr(r,i+(o==="time"?c:c-f),+a,f-d);return{axisBBox:h,controllerBBox:u,timelineBBox:v}},enumerable:!1,configurable:!0}),t.prototype.setBySliderValues=function(e){var r,i,a=this.data,s=(0,G.CR)(Array.isArray(e)?e:[0,e],2),o=s[0],l=s[1],c=a.length,u=a[Math.floor(o*c)],h=a[Math.ceil(l*c)-(Array.isArray(e)?0:1)];this.states.values=[(r=u==null?void 0:u.time)!==null&&r!==void 0?r:a[0].time,(i=h==null?void 0:h.time)!==null&&i!==void 0?i:1/0]},t.prototype.setByTimebarValues=function(e){var r,i,a,s=this.data,o=(0,G.CR)(Array.isArray(e)?e:[void 0,e],2),l=o[0],c=o[1],u=s.find(function(d){var f=d.time;return f===l}),h=s.find(function(d){var f=d.time;return f===c});this.states.values=[(r=u==null?void 0:u.time)!==null&&r!==void 0?r:(i=s[0])===null||i===void 0?void 0:i.time,(a=h==null?void 0:h.time)!==null&&a!==void 0?a:1/0]},t.prototype.setByIndex=function(e){var r,i,a,s,o=this.data,l=(0,G.CR)(e,2),c=l[0],u=l[1];this.states.values=[(i=(r=o[c])===null||r===void 0?void 0:r.time)!==null&&i!==void 0?i:o[0].time,(s=(a=this.data[u])===null||a===void 0?void 0:a.time)!==null&&s!==void 0?s:1/0]},Object.defineProperty(t.prototype,"sliderValues",{get:function(){var e=this.states,r=e.values,i=e.selectionType,a=(0,G.CR)(Array.isArray(r)?r:[void 0,r],2),s=a[0],o=a[1],l=this.data,c=l.length,u=i==="value",h=function(){var f=l.findIndex(function(v){var g=v.time;return g===s});return u?0:f>-1?f/c:0},d=function(){if(o===1/0)return 1;var f=l.findIndex(function(v){var g=v.time;return g===o});return f>-1?f/c:u?.5:1};return[h(),d()]},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"values",{get:function(){var e=this.states,r=e.values,i=e.selectionType,a=(0,G.CR)(Array.isArray(r)?r:[this.data[0].time,r],2),s=a[0],o=a[1];return i==="value"?o:[s,o]},enumerable:!1,configurable:!0}),t.prototype.getDatumByRatio=function(e){var r=this.data,i=r.length,a=Math.floor(e*(i-1));return r[a]},Object.defineProperty(t.prototype,"chartHandleIconShape",{get:function(){var e=this.states.selectionType,r=this.space.timelineBBox.height;return e==="range"?function(i){return new u4({style:{type:i,height:r,iconSize:r/6}})}:function(){return new As({style:{x1:0,y1:-r/2,x2:0,y2:r/2,lineWidth:2,stroke:"#c8c8c8"}})}},enumerable:!1,configurable:!0}),t.prototype.getChartStyle=function(e){var r=this,i=e.x,a=e.y,s=e.width,o=e.height,l=this.states,c=l.selectionType,u=l.chartType,h=this.data,d=this.attributes,f=d.type,v=d.labelFormatter,g=ke(this.attributes,"chart"),p=g.type,y=(0,G._T)(g,["type"]),b=c==="range";if(f==="time")return(0,G.pi)({handleIconShape:function(){return new c4({})},selectionFill:"#2e7ff8",selectionFillOpacity:1,showLabelOnInteraction:!0,handleLabelDy:b?-15:0,autoFitLabel:b,handleSpacing:b?-15:0,trackFill:"#edeeef",trackLength:s,trackOpacity:.5,trackRadius:o/2,trackSize:o/2,type:c,values:this.sliderValues,formatter:function(P){if(v)return v(P);var L=r.getDatumByRatio(P).time;return typeof L=="number"?gE(L):Fr(L,"YYYY-MM-DD HH:mm:ss")},transform:"translate(".concat(i,", ").concat(a,")"),zIndex:1},y);var E=c==="range"?5:0,O=h.map(function(P){var L=P.value;return L});return(0,G.pi)({handleIconOffset:E,handleIconShape:this.chartHandleIconShape,selectionFill:"#fff",selectionFillOpacity:.5,selectionType:"invert",sparklineSpacing:.1,sparklineColumnLineWidth:0,sparklineColor:"#d4e5fd",sparklineAreaOpacity:1,sparklineAreaLineWidth:0,sparklineData:O,sparklineType:u,sparklineScale:.8,trackLength:s,trackSize:o,type:c,values:this.sliderValues,transform:"translate(".concat(i,", ").concat(a,")"),zIndex:1},y)},t.prototype.renderChart=function(e){e===void 0&&(e=this.space.timelineBBox),this.timeline.update(this.getChartStyle(e))},t.prototype.updateSelection=function(){this.timeline.setValues(this.sliderValues,!0),this.handleSliderChange(this.sliderValues)},t.prototype.getAxisStyle=function(e){var r=this.data,i=this.attributes,a=i.interval,s=i.labelFormatter,o=ke(this.attributes,"axis"),l=e.x,c=e.y,u=e.width,h=(0,G.ev)((0,G.ev)([],(0,G.CR)(r),!1),[{time:0}],!1).map(function(f,v,g){var p=f.time;return{label:"".concat(p),value:v/(g.length-1),time:p}}),d=(0,G.pi)({startPos:[l,c],endPos:[l+u,c],data:h,labelFilter:function(f,v){return va?l==="value"?[0,0]:c==="acc"?[F(P),F(P)]:[0,F(L-P)]:P<0?c==="acc"?[0,F(L)]:[F(P+a-L),a]:[F(P),F(L)]},b=y(p);return this.setByIndex(b),this.updateSelection(),b},t.prototype.internalBackward=function(e){var r,i,a=this.moveSelection("backward",e);return e||((i=(r=this.attributes)===null||r===void 0?void 0:r.onBackward)===null||i===void 0||i.call(r),this.dispatchOnChange()),a},t.prototype.backward=function(){this.internalBackward()},t.prototype.internalPlay=function(e){var r=this,i,a,s=this.data,o=this.attributes.loop,l=this.states.speed,c=l===void 0?1:l;this.playInterval=window.setInterval(function(){var u=r.internalForward();u[1]===s.length&&!o&&(r.internalPause(),r.renderController())},1e3/c),this.states.state="play",!e&&((a=(i=this.attributes)===null||i===void 0?void 0:i.onPlay)===null||a===void 0||a.call(i))},t.prototype.play=function(){this.internalPlay()},t.prototype.internalPause=function(e){var r,i;clearInterval(this.playInterval),this.states.state="pause",!e&&((i=(r=this.attributes)===null||r===void 0?void 0:r.onPause)===null||i===void 0||i.call(r))},t.prototype.pause=function(){this.internalPause()},t.prototype.internalForward=function(e){var r,i,a=this.moveSelection("forward",e);return e||((i=(r=this.attributes)===null||r===void 0?void 0:r.onForward)===null||i===void 0||i.call(r),this.dispatchOnChange()),a},t.prototype.forward=function(){this.internalForward()},t.prototype.handleSpeedChange=function(e){var r,i;this.states.speed=e;var a=this.states.state;a==="play"&&(this.internalPause(!0),this.internalPlay(!0)),(i=(r=this.attributes)===null||r===void 0?void 0:r.onSpeedChange)===null||i===void 0||i.call(r,e)},t.prototype.handleSelectionTypeChange=function(e){var r,i;this.states.selectionType=e,this.renderChart(),(i=(r=this.attributes)===null||r===void 0?void 0:r.onSelectionTypeChange)===null||i===void 0||i.call(r,e)},t.prototype.handleChartTypeChange=function(e){var r,i;this.states.chartType=e,this.renderChart(),(i=(r=this.attributes)===null||r===void 0?void 0:r.onChartTypeChange)===null||i===void 0||i.call(r,e)},t.prototype.render=function(){var e=this.space,r=e.axisBBox,i=e.controllerBBox,a=e.timelineBBox;this.renderController(i),this.renderAxis(r),this.renderChart(a),this.states.state==="play"&&this.internalPlay()},t.prototype.destroy=function(){n.prototype.destroy.call(this),this.internalPause(!0)},t.defaultOptions={style:{x:0,y:0,axisLabelFill:"#6e6e6e",axisLabelTextAlign:"left",axisLabelTextBaseline:"top",axisLabelTransform:"translate(5, -12)",axisLineLineWidth:1,axisLineStroke:"#cacdd1",axisTickLength:15,axisTickLineWidth:1,axisTickStroke:"#cacdd1",chartShowLabel:!1,chartType:"line",controllerAlign:"center",controllerHeight:40,data:[],interval:"day",loop:!1,playMode:"acc",selectionType:"range",type:"time"}},t}(Ln);function v4(n){return n instanceof Date}var g4=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function 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0||E.call(u,b),(O=u==null?void 0:u.after)===null||O===void 0||O.call(u),this.animations.delete(b)})):(f=u==null?void 0:u.after)===null||f===void 0||f.call(u),b}).filter(Boolean);o.forEach(c=>this.animations.add(c));const l=Of(o);return l?((a=e==null?void 0:e.beforeAnimate)===null||a===void 0||a.call(e,l),l.finished.then(()=>{var c,u;(c=e==null?void 0:e.afterAnimate)===null||c===void 0||c.call(e,l),(u=e==null?void 0:e.after)===null||u===void 0||u.call(e),this.release()})):(s=e==null?void 0:e.after)===null||s===void 0||s.call(e),l}inferStyle(t,e){var r,i;const{element:a,elementType:s,stage:o,originalStyle:l,updatedStyle:c={}}=t;t.modifiedStyle||(t.modifiedStyle=Object.assign(Object.assign({},l),c));const{modifiedStyle:u}=t,h={},d={};if(o==="enter")Object.assign(h,{opacity:0});else if(o==="exit")Object.assign(d,{opacity:0});else if(o==="show")Object.assign(h,{opacity:0}),Object.assign(d,{opacity:(r=BE(a,"opacity"))!==null&&r!==void 0?r:hl("opacity")});else if(o==="hide")Object.assign(h,{opacity:(i=BE(a,"opacity"))!==null&&i!==void 0?i:hl("opacity")}),Object.assign(d,{opacity:0});else if(o==="collapse"){const{collapse:f}=e||{},{target:v,descendants:g,position:p}=f;if(s==="node"){if(g.includes(a.id)){const[y,b,E]=p;Object.assign(d,{x:y,y:b,z:E})}}else if(s==="combo"){if(a.id===v||g.includes(a.id)){const[y,b]=p;Object.assign(d,{x:y,y:b,childrenNode:l.childrenNode})}}else s==="edge"&&Object.assign(d,{sourceNode:u.sourceNode,targetNode:u.targetNode})}else if(o==="expand"){const{expand:f}=e||{},{target:v,descendants:g,position:p}=f;if(s==="node"){if(a.id===v||g.includes(a.id)){const[y,b,E]=p;Object.assign(h,{x:y,y:b,z:E})}}else if(s==="combo"){if(a.id===v||g.includes(a.id)){const[y,b,E]=p;Object.assign(h,{x:y,y:b,z:E,childrenNode:u.childrenNode})}}else s==="edge"&&Object.assign(h,{sourceNode:u.sourceNode,targetNode:u.targetNode})}return[Object.keys(h).length>0?Object.assign({},l,h):l,Object.keys(d).length>0?Object.assign({},u,d):u]}stop(){this.animations.forEach(t=>t.cancel())}clear(){this.tasks=[]}release(){var t,e;const{canvas:r}=this.context,i=(e=(t=r.document)===null||t===void 0?void 0:t.timeline)===null||e===void 0?void 0:e.animationsWithPromises;i&&(r.document.timeline.animationsWithPromises=i.filter(a=>a.playState!=="finished"))}destroy(){this.stop(),this.animations.clear(),this.tasks=[]}}class Y4{constructor(t){this.batchCount=0,this.context=t}emit(t){const{graph:e}=this.context;e.emit(t.type,t)}startBatch(t=!0){this.batchCount++,this.batchCount===1&&this.emit(new $n(Kt.BATCH_START,{initiate:t}))}endBatch(){this.batchCount--,this.batchCount===0&&this.emit(new $n(Kt.BATCH_END))}get isBatching(){return this.batchCount>0}destroy(){this.context=null}}class H4 extends Wf{constructor(t){super(t),this.currentTarget=null,this.currentTargetType=null,this.category="behavior",this.forwardCanvasEvents=e=>{const{target:r}=e,i=W4(r);if(!i)return;const{graph:a,canvas:s}=this.context,{type:o,element:l}=i;if("destroyed"in l&&(Ol(l)||l.destroyed))return;const{type:c,detail:u,button:h}=e,d=Object.assign(Object.assign({},e),{target:l,targetType:o,originalTarget:r});c===Bt.POINTER_MOVE&&(this.currentTarget!==l&&(this.currentTarget&&a.emit(`${this.currentTargetType}:${Bt.POINTER_LEAVE}`,Object.assign(Object.assign({},d),{type:Bt.POINTER_LEAVE,target:this.currentTarget,targetType:this.currentTargetType})),l&&(Object.assign(d,{type:Bt.POINTER_ENTER}),a.emit(`${o}:${Bt.POINTER_ENTER}`,d))),this.currentTarget=l,this.currentTargetType=o),c===Bt.CLICK&&h===2||(a.emit(`${o}:${c}`,d),a.emit(c,d)),c===Bt.CLICK&&u===2&&(Object.assign(d,{type:Bt.DBLCLICK}),a.emit(`${o}:${Bt.DBLCLICK}`,d),a.emit(Bt.DBLCLICK,d)),c===Bt.POINTER_DOWN&&h===2&&(Object.assign(d,{type:Bt.CONTEXT_MENU,preventDefault:()=>{var f;(f=s.getContainer())===null||f===void 0||f.addEventListener(Bt.CONTEXT_MENU,v=>v.preventDefault(),{once:!0})}}),a.emit(`${o}:${Bt.CONTEXT_MENU}`,d),a.emit(Bt.CONTEXT_MENU,d))},this.forwardContainerEvents=e=>{this.context.graph.emit(e.type,e)},this.forwardEvents(),this.setBehaviors(this.context.options.behaviors||[])}setBehaviors(t){this.setExtensions(t)}forwardEvents(){const t=this.context.canvas.getContainer();t&&[uo.KEY_DOWN,uo.KEY_UP].forEach(r=>{t.addEventListener(r,this.forwardContainerEvents)});const e=this.context.canvas.document;e&&[Bt.CLICK,Bt.DBLCLICK,Bt.POINTER_OVER,Bt.POINTER_LEAVE,Bt.POINTER_ENTER,Bt.POINTER_MOVE,Bt.POINTER_OUT,Bt.POINTER_DOWN,Bt.POINTER_UP,Bt.CONTEXT_MENU,Bt.DRAG_START,Bt.DRAG,Bt.DRAG_END,Bt.DRAG_ENTER,Bt.DRAG_OVER,Bt.DRAG_LEAVE,Bt.DROP,Bt.WHEEL].forEach(r=>{e.addEventListener(r,this.forwardCanvasEvents)})}destroy(){const t=this.context.canvas.getContainer();t&&[uo.KEY_DOWN,uo.KEY_UP].forEach(e=>{t.removeEventListener(e,this.forwardContainerEvents)}),this.context.canvas.document.removeAllEventListeners(),super.destroy()}}function X4(n,t){t===void 0&&(t=new Map);var e=[];if(Array.isArray(n))for(var r=0,i=n.length;rv.length!==g.length?!1:v.every((p,y)=>p===g[y]),f=(v,g)=>{const p=Object.keys(v),y=Object.keys(g);return p.length!==y.length?!1:p.every(b=>v[b]===g[b])};return!(!f(s,h)||!d(a,u)||!d(e,o)||!f(r,l)||!f(i,c))}var K4=function(n,t){var e={};for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&t.indexOf(r)<0&&(e[r]=n[r]);if(n!=null&&typeof Object.getOwnPropertySymbols=="function")for(var i=0,r=Object.getOwnPropertySymbols(n);i0}silence(t){this.isTraceless=!0,t(),this.isTraceless=!1}isCombo(t){return this.comboIds.has(t)||this.latestRemovedComboIds.has(t)}getData(){return{nodes:this.getNodeData(),edges:this.getEdgeData(),combos:this.getComboData()}}getNodeData(t){return this.model.getAllNodes().reduce((e,r)=>{const i=dr(r);return this.isCombo(At(i))||(t===void 0||t.includes(At(i)))&&e.push(i),e},[])}getEdgeDatum(t){return dr(this.model.getEdge(t))}getEdgeData(t){return this.model.getAllEdges().reduce((e,r)=>{const i=dr(r);return(t===void 0||t.includes(At(i)))&&e.push(i),e},[])}getComboData(t){return this.model.getAllNodes().reduce((e,r)=>{const i=dr(r);return this.isCombo(At(i))&&(t===void 0||t.includes(At(i)))&&e.push(i),e},[])}getRootsData(t=ii){return this.model.getRoots(t).map(dr)}getAncestorsData(t,e){const{model:r}=this;return!r.hasNode(t)||!r.hasTreeStructure(e)?[]:r.getAncestors(t,e).map(dr)}getDescendantsData(t){const e=this.getElementDataById(t),r=[];return _s(e,i=>{i!==e&&r.push(i)},i=>this.getChildrenData(At(i)),"TB"),r}getParentData(t,e){const{model:r}=this;if(!e){Xr.warn("The hierarchy structure key is not specified");return}if(!r.hasNode(t)||!r.hasTreeStructure(e))return;const i=r.getParent(t,e);return i?dr(i):void 0}getChildrenData(t){const e=this.getElementType(t)==="node"?ii:dn,{model:r}=this;return!r.hasNode(t)||!r.hasTreeStructure(e)?[]:r.getChildren(t,e).map(dr)}getElementsDataByType(t){return t==="node"?this.getNodeData():t==="edge"?this.getEdgeData():t==="combo"?this.getComboData():[]}getElementDataById(t){return this.getElementType(t)==="edge"?this.getEdgeDatum(t):this.getNodeLikeDatum(t)}getNodeLikeDatum(t){const e=this.model.getNode(t);return dr(e)}getNodeLikeData(t){return this.model.getAllNodes().reduce((e,r)=>{const i=dr(r);return t?t.includes(At(i))&&e.push(i):e.push(i),e},[])}getElementDataByState(t,e){return this.getElementsDataByType(t).filter(i=>{var a;return(a=i.states)===null||a===void 0?void 0:a.includes(e)})}getElementState(t){var e;return((e=this.getElementDataById(t))===null||e===void 0?void 0:e.states)||[]}hasNode(t){return this.model.hasNode(t)&&!this.isCombo(t)}hasEdge(t){return this.model.hasEdge(t)}hasCombo(t){return this.model.hasNode(t)&&this.isCombo(t)}getRelatedEdgesData(t,e="both"){return this.model.getRelatedEdges(t,e).map(dr)}getNeighborNodesData(t){return this.model.getNeighbors(t).map(dr)}setData(t){const{nodes:e=[],edges:r=[],combos:i=[]}=t,{nodes:a,edges:s,combos:o}=this.getData(),l=za(a,e,h=>At(h),Lo),c=za(s,r,h=>At(h),Lo),u=za(o,i,h=>At(h),Lo);this.batch(()=>{const h={nodes:l.enter,edges:c.enter,combos:u.enter};this.addData(h),this.computeZIndex(h,"add",!0);const d={nodes:l.update,edges:c.update,combos:u.update};this.updateData(d),this.computeZIndex(d,"update",!0);const f={nodes:l.exit.map(At),edges:c.exit.map(At),combos:u.exit.map(At)};this.removeData(f)})}addData(t){const{nodes:e,edges:r,combos:i}=t;this.batch(()=>{this.addComboData(i),this.addNodeData(e),this.addEdgeData(r)}),this.computeZIndex(t,"add")}addNodeData(t=[]){t.length&&(this.model.addNodes(t.map(e=>(this.pushChange({value:e,type:wn.NodeAdded}),z0(e)))),this.updateNodeLikeHierarchy(t),this.computeZIndex({nodes:t},"add"))}addEdgeData(t=[]){t.length&&(this.model.addEdges(t.map(e=>(this.pushChange({value:e,type:wn.EdgeAdded}),z0(e)))),this.computeZIndex({edges:t},"add"))}addComboData(t=[]){if(!t.length)return;const{model:e}=this;e.hasTreeStructure(dn)||e.attachTreeStructure(dn),e.addNodes(t.map(r=>(this.comboIds.add(At(r)),this.pushChange({value:r,type:wn.ComboAdded}),z0(r)))),this.updateNodeLikeHierarchy(t),this.computeZIndex({combos:t},"add")}addChildrenData(t,e){const r=this.getNodeLikeDatum(t),i=e.map(At);this.addNodeData(e),this.updateNodeData([{id:t,children:[...r.children||[],...i]}]),this.addEdgeData(i.map(a=>({source:t,target:a})))}computeZIndex(t,e,r=!1){!r&&this.isBatching()||this.batch(()=>{const{nodes:i=[],edges:a=[],combos:s=[]}=t;s.forEach(o=>{var l,c,u;const h=At(o);if(e==="add"&&ie((l=o.style)===null||l===void 0?void 0:l.zIndex)||e==="update"&&!("combo"in o))return;const d=this.getParentData(h,dn),f=d?((u=(c=d.style)===null||c===void 0?void 0:c.zIndex)!==null&&u!==void 0?u:0)+1:0;this.preventUpdateNodeLikeHierarchy(()=>{this.updateComboData([{id:h,style:{zIndex:f}}])})}),i.forEach(o=>{var l,c,u;const h=At(o);if(e==="add"&&ie((l=o.style)===null||l===void 0?void 0:l.zIndex)||e==="update"&&!("combo"in o)&&!("children"in o))return;let d=0;const f=this.getParentData(h,dn);if(f)d=(((c=f.style)===null||c===void 0?void 0:c.zIndex)||0)+1;else{const v=this.getParentData(h,ii);v&&(d=((u=v==null?void 0:v.style)===null||u===void 0?void 0:u.zIndex)||0)}this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:h,style:{zIndex:d}}])})}),a.forEach(o=>{var l,c,u,h,d;if(ie((l=o.style)===null||l===void 0?void 0:l.zIndex))return;let{id:f,source:v,target:g}=o;if(!f)f=At(o);else{const b=this.getEdgeDatum(f);v=b.source,g=b.target}if(!v||!g)return;const p=((u=(c=this.getNodeLikeDatum(v))===null||c===void 0?void 0:c.style)===null||u===void 0?void 0:u.zIndex)||0,y=((d=(h=this.getNodeLikeDatum(g))===null||h===void 0?void 0:h.style)===null||d===void 0?void 0:d.zIndex)||0;this.updateEdgeData([{id:At(o),style:{zIndex:Math.max(p,y)-1}}])})})}getFrontZIndex(t){var e;const r=this.getElementType(t),i=this.getElementDataById(t),a=this.getData();if(Object.assign(a,{[`${r}s`]:a[`${r}s`].filter(s=>At(s)!==t)}),r==="combo"&&!Kr(i)){const s=new Set(this.getAncestorsData(t,dn).map(At));a.nodes=a.nodes.filter(o=>!s.has(At(o))),a.combos=a.combos.filter(o=>!s.has(At(o))),a.edges=a.edges.filter(({source:o,target:l})=>!s.has(o)&&!s.has(l))}return Math.max(((e=i.style)===null||e===void 0?void 0:e.zIndex)||0,0,...Object.values(a).flat().map(s=>{var o;return(((o=s==null?void 0:s.style)===null||o===void 0?void 0:o.zIndex)||0)+1}))}updateNodeLikeHierarchy(t){if(!this.enableUpdateNodeLikeHierarchy)return;const{model:e}=this;t.forEach(r=>{const i=At(r),a=lu(r);a!==void 0&&(e.hasTreeStructure(dn)||e.attachTreeStructure(dn),a===null&&this.refreshComboData(i),this.setParent(i,lu(r),dn));const s=r.children||[];if(s.length){e.hasTreeStructure(ii)||e.attachTreeStructure(ii);const o=s.filter(l=>e.hasNode(l));o.forEach(l=>this.setParent(l,i,ii)),o.length!==s.length&&this.updateNodeData([{id:i,children:o}])}})}preventUpdateNodeLikeHierarchy(t){this.enableUpdateNodeLikeHierarchy=!1,t(),this.enableUpdateNodeLikeHierarchy=!0}updateData(t){const{nodes:e,edges:r,combos:i}=t;this.batch(()=>{this.updateNodeData(e),this.updateComboData(i),this.updateEdgeData(r)}),this.computeZIndex(t,"update")}updateNodeData(t=[]){if(!t.length)return;const{model:e}=this;this.batch(()=>{const r=[];t.forEach(i=>{const a=At(i),s=dr(e.getNode(a));if(Lo(s,i))return;const o=es(s,i);this.pushChange({value:o,original:s,type:wn.NodeUpdated}),e.mergeNodeData(a,o),r.push(o)}),this.updateNodeLikeHierarchy(r)}),this.computeZIndex({nodes:t},"update")}refreshData(){const{nodes:t,edges:e,combos:r}=this.getData();t.forEach(i=>{this.pushChange({value:i,original:i,type:wn.NodeUpdated})}),e.forEach(i=>{this.pushChange({value:i,original:i,type:wn.EdgeUpdated})}),r.forEach(i=>{this.pushChange({value:i,original:i,type:wn.ComboUpdated})})}syncNodeLikeDatum(t){const{model:e}=this,r=At(t);if(!e.hasNode(r))return;const i=dr(e.getNode(r)),a=es(i,t);e.mergeNodeData(r,a)}syncEdgeDatum(t){const{model:e}=this,r=At(t);if(!e.hasEdge(r))return;const i=dr(e.getEdge(r)),a=es(i,t);e.mergeEdgeData(r,a)}updateEdgeData(t=[]){if(!t.length)return;const{model:e}=this;this.batch(()=>{t.forEach(r=>{const i=At(r),a=dr(e.getEdge(i));if(Lo(a,r))return;r.source&&a.source!==r.source&&e.updateEdgeSource(i,r.source),r.target&&a.target!==r.target&&e.updateEdgeTarget(i,r.target);const s=es(a,r);this.pushChange({value:s,original:a,type:wn.EdgeUpdated}),e.mergeEdgeData(i,s)})}),this.computeZIndex({edges:t},"update")}updateComboData(t=[]){if(!t.length)return;const{model:e}=this;e.batch(()=>{const r=[];t.forEach(i=>{const a=At(i),s=dr(e.getNode(a));if(Lo(s,i))return;const o=es(s,i);this.pushChange({value:o,original:s,type:wn.ComboUpdated}),e.mergeNodeData(a,o),r.push(o)}),this.updateNodeLikeHierarchy(r)}),this.computeZIndex({combos:t},"update")}setParent(t,e,r,i=!0){if(t===e)return;const a=this.getNodeLikeDatum(t),s=lu(a);if(s!==e&&r===dn){const o={id:t,combo:e};this.isCombo(t)?this.syncNodeLikeDatum(o):this.syncNodeLikeDatum(o)}this.model.setParent(t,e,r),i&&r===dn&&X4([s,e]).forEach(o=>{o!==void 0&&this.refreshComboData(o)})}refreshComboData(t){const e=this.getComboData([t])[0],r=this.getAncestorsData(t,dn);e&&this.pushChange({value:e,original:e,type:wn.ComboUpdated}),r.forEach(i=>{this.pushChange({value:i,original:i,type:wn.ComboUpdated})})}getElementPosition(t){const e=this.getElementDataById(t);return ir(e)}translateNodeLikeBy(t,e){this.isCombo(t)?this.translateComboBy(t,e):this.translateNodeBy(t,e)}translateNodeLikeTo(t,e){this.isCombo(t)?this.translateComboTo(t,e):this.translateNodeTo(t,e)}translateNodeBy(t,e){const r=this.getElementPosition(t),i=Ne(r,[...e,0].slice(0,3));this.translateNodeTo(t,i)}translateNodeTo(t,e){const[r=0,i=0,a=0]=e;this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:t,style:{x:r,y:i,z:a}}])})}translateComboBy(t,e){const[r=0,i=0,a=0]=e;if([r,i,a].some(isNaN)||[r,i,a].every(l=>l===0))return;const s=this.getComboData([t])[0];if(!s)return;const o=new Set;_s(s,l=>{const c=At(l);if(o.has(c))return;o.add(c);const[u,h,d]=ir(l),f=es(l,{style:{x:u+r,y:h+i,z:d+a}});this.pushChange({value:f,original:l,type:this.isCombo(c)?wn.ComboUpdated:wn.NodeUpdated}),this.model.mergeNodeData(c,f)},l=>this.getChildrenData(At(l)),"BT")}translateComboTo(t,e){var r;if(e.some(isNaN))return;const[i=0,a=0,s=0]=e,o=(r=this.getComboData([t]))===null||r===void 0?void 0:r[0];if(!o)return;const[l,c,u]=ir(o),h=i-l,d=a-c,f=s-u;_s(o,v=>{const g=At(v),[p,y,b]=ir(v),E=es(v,{style:{x:p+h,y:y+d,z:b+f}});this.pushChange({value:E,original:v,type:this.isCombo(g)?wn.ComboUpdated:wn.NodeUpdated}),this.model.mergeNodeData(g,E)},v=>this.getChildrenData(At(v)),"BT")}removeData(t){const{nodes:e,edges:r,combos:i}=t;this.batch(()=>{this.removeEdgeData(r),this.removeNodeData(e),this.removeComboData(i),this.latestRemovedComboIds=new Set(i)})}removeNodeData(t=[]){t.length&&this.batch(()=>{t.forEach(e=>{this.removeEdgeData(this.getRelatedEdgesData(e).map(At)),this.pushChange({value:this.getNodeData([e])[0],type:wn.NodeRemoved}),this.removeNodeLikeHierarchy(e)}),this.model.removeNodes(t)})}removeEdgeData(t=[]){t.length&&(t.forEach(e=>this.pushChange({value:this.getEdgeData([e])[0],type:wn.EdgeRemoved})),this.model.removeEdges(t))}removeComboData(t=[]){t.length&&this.batch(()=>{t.forEach(e=>{this.pushChange({value:this.getComboData([e])[0],type:wn.ComboRemoved}),this.removeNodeLikeHierarchy(e),this.comboIds.delete(e)}),this.model.removeNodes(t)})}removeNodeLikeHierarchy(t){if(this.model.hasTreeStructure(dn)){const e=lu(this.getNodeLikeDatum(t));this.setParent(t,void 0,dn,!1),this.model.getChildren(t,dn).forEach(r=>{const i=dr(r),a=At(i);this.setParent(At(i),e,dn,!1);const s=es(i,{id:At(i),combo:e});this.pushChange({value:s,original:i,type:this.isCombo(a)?wn.ComboUpdated:wn.NodeUpdated}),this.model.mergeNodeData(At(i),s)}),me(e)||this.refreshComboData(e)}}getElementType(t){if(this.model.hasNode(t))return this.isCombo(t)?"combo":"node";if(this.model.hasEdge(t))return"edge";throw new Error(ga(`Unknown element type of id: ${t}`))}destroy(){const{model:t}=this,e=t.getAllNodes(),r=t.getAllEdges();t.removeEdges(r.map(i=>i.id)),t.removeNodes(e.map(i=>i.id)),this.context={}}}var Yl=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class J4{constructor(t){this.elementMap={},this.shapeTypeMap={},this.paletteStyle={},this.defaultStyle={},this.stateStyle={},this.visibilityCache=new 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r=At(e),i=this.getThemeStyle(t),a=this.getPaletteStyle(t,r),s=e.style||{},o=this.getDefaultStyle(r),l=this.getThemeStateStyle(t,this.getElementState(r)),c=this.getStateStyle(r),u=Object.assign({},i,a,s,o,l,c);if(t==="combo"){const h=this.context.model.getChildrenData(r),f=!!u.collapsed?[]:h.map(At).filter(v=>this.getElement(v));Object.assign(u,{childrenNode:f,childrenData:h})}return u}getDrawData(t){this.init();const e=this.computeChangesAndDrawData(t);if(!e)return null;const{type:r="draw",stage:i=r}=t;return this.markDestroyElement(e.drawData),this.computeStyle(i),{type:r,stage:i,data:e}}draw(t={animation:!0}){const e=this.getDrawData(t);if(!e)return;const{data:{drawData:{add:r,update:i,remove:a}}}=e;return this.destroyElements(a,t),this.createElements(r,t),this.updateElements(i,t),this.setAnimationTask(t,e)}preLayoutDraw(){return Yl(this,arguments,void 0,function*(t={animation:!0}){var e,r;const i=this.getDrawData(t);if(!i)return;const{data:{drawData:a}}=i;yield(r=(e=this.context.layout)===null||e===void 0?void 0:e.preLayout)===null||r===void 0?void 0:r.call(e,a);const{add:s,update:o,remove:l}=a;return this.destroyElements(l,t),this.createElements(s,t),this.updateElements(o,t),this.setAnimationTask(t,i)})}setAnimationTask(t,e){const{animation:r,silence:i}=t,{data:{dataChanges:a,drawData:s},stage:o,type:l}=e;return this.context.animation.animate(r,i?{}:{before:()=>this.emit(new $n(Kt.BEFORE_DRAW,{dataChanges:a,animation:r,stage:o,render:l==="render"}),t),beforeAnimate:c=>this.emit(new Si(Kt.BEFORE_ANIMATE,Hr.DRAW,c,s),t),afterAnimate:c=>this.emit(new Si(Kt.AFTER_ANIMATE,Hr.DRAW,c,s),t),after:()=>this.emit(new $n(Kt.AFTER_DRAW,{dataChanges:a,animation:r,stage:o,render:l==="render",firstRender:this.context.graph.rendered===!1}),t)})}computeChangesAndDrawData(t){const{model:e}=this.context,r=e.getChanges(),i=Xv(r);if(i.length===0)return null;const{NodeAdded:a=[],NodeUpdated:s=[],NodeRemoved:o=[],EdgeAdded:l=[],EdgeUpdated:c=[],EdgeRemoved:u=[],ComboAdded:h=[],ComboUpdated:d=[],ComboRemoved:f=[]}=Xc(i,y=>y.type),v=y=>new Map(y.map(b=>{const E=b.value;return[At(E),E]})),g={add:{nodes:v(a),edges:v(l),combos:v(h)},update:{nodes:v(s),edges:v(c),combos:v(d)},remove:{nodes:v(o),edges:v(u),combos:v(f)}},p=this.transformData(g,t);return e.clearChanges(),{dataChanges:r,drawData:p}}transformData(t,e){const r=this.context.transform.getTransformInstance();return Object.values(r).reduce((i,a)=>a.beforeDraw(i,e),t)}createElement(t,e,r){var i;const a=At(e);if(this.getElement(a))return;const o=this.getElementType(t,e),l=this.getElementComputedStyle(t,e),c=va(t,o);if(!c)return Xr.warn(`The element ${o} of ${t} is not registered.`);this.emit(new Po(Kt.BEFORE_ELEMENT_CREATE,t,e),r);const u=this.container.appendChild(new c({id:a,context:this.context,style:l}));this.shapeTypeMap[a]=o,this.elementMap[a]=u;const{stage:h="enter"}=r;(i=this.context.animation)===null||i===void 0||i.add({element:u,elementType:t,stage:h,originalStyle:Object.assign({},u.attributes),updatedStyle:l},{after:()=>{var d;this.emit(new Po(Kt.AFTER_ELEMENT_CREATE,t,e),r),(d=u.onCreate)===null||d===void 0||d.call(u)}})}createElements(t,e){const{nodes:r,edges:i,combos:a}=t;[["node",r],["combo",a],["edge",i]].forEach(([o,l])=>{l.forEach(c=>this.createElement(o,c,e))})}getUpdateStageStyle(t,e,r){const{stage:i="update"}=r;if(i==="translate")if(t==="node"||t==="combo"){const{style:{x:a=0,y:s=0,z:o=0}={}}=e;return{x:a,y:s,z:o}}else return{};return this.getElementComputedStyle(t,e)}updateElement(t,e,r){var i;const a=At(e),{stage:s="update"}=r,o=this.getElement(a);if(!o)return()=>null;this.emit(new Po(Kt.BEFORE_ELEMENT_UPDATE,t,e),r);const l=this.getElementType(t,e),c=this.getUpdateStageStyle(t,e,r);this.shapeTypeMap[a]!==l&&(o.destroy(),delete 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i=At(r),a=this.getElement(i);a&&H3(a)})})}destroyElement(t,e,r){var i;const{stage:a="exit"}=r,s=At(e),o=this.elementMap[s];if(!o)return()=>null;this.emit(new Po(Kt.BEFORE_ELEMENT_DESTROY,t,e),r),(i=this.context.animation)===null||i===void 0||i.add({element:o,elementType:t,stage:a,originalStyle:Object.assign({},o.attributes),updatedStyle:{}},{after:()=>{var l;this.clearElement(s),o.destroy(),(l=o.onDestroy)===null||l===void 0||l.call(o),this.emit(new Po(Kt.AFTER_ELEMENT_DESTROY,t,e),r)}})}destroyElements(t,e){const{nodes:r,edges:i,combos:a}=t;[["combo",a],["edge",i],["node",r]].forEach(([o,l])=>{l.forEach(c=>this.destroyElement(o,c,e))})}clearElement(t){delete this.paletteStyle[t],delete this.defaultStyle[t],delete this.stateStyle[t],delete this.elementMap[t],delete this.shapeTypeMap[t]}alignLayoutResultToElement(t,e){var r,i;const a=(r=t.nodes)===null||r===void 0?void 0:r.find(s=>At(s)===e);if(a){const 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0:r.finished})}expandNode(t,e){return Yl(this,void 0,void 0,function*(){var r;const{model:i,layout:a}=this.context,{animation:s,align:o}=e,l=ir(i.getNodeData([t])[0]),c=this.computeChangesAndDrawData({stage:"expand",animation:s});if(this.createElements(c.drawData.add,{animation:!1,stage:"expand",target:t}),this.context.animation.clear(),this.computeStyle("expand"),!c)return;const{drawData:u}=c,{update:h,add:d}=u,f={animation:s,stage:"expand",data:u};d.edges.forEach(v=>h.edges.set(At(v),v)),d.nodes.forEach(v=>h.nodes.set(At(v),v)),this.updateElements(h,f),yield(r=this.context.animation.animate(s,{beforeAnimate:v=>this.emit(new Si(Kt.BEFORE_ANIMATE,Hr.EXPAND,v,u),f),afterAnimate:v=>this.emit(new Si(Kt.AFTER_ANIMATE,Hr.EXPAND,v,u),f)},{expand:{target:t,descendants:Array.from(d.nodes).map(([,v])=>At(v)),position:l}}))===null||r===void 0?void 0:r.finished})}collapseCombo(t,e){return Yl(this,void 0,void 0,function*(){var 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0,function*(){if(this.running)return this;this.running=!0;const e=this.layout.options,{onTick:r}=e,i=(0,G._T)(e,["onTick"]),a={};Object.keys(i).forEach(c=>{fe(i[c])||(a[c]=i[c])});const s={layout:{id:this.layout.id,options:a,iterations:(t=this.options)===null||t===void 0?void 0:t.iterations},nodes:this.graph.getAllNodes(),edges:this.graph.getAllEdges()},o=new Float32Array([0]),[l]=yield this.proxy.calculateLayout(s,[o]);return l})}stop(){return this.running=!1,this.proxy.stopLayout(),this}kill(){this.proxy[zE]()}isRunning(){return this.running}}var Do=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})},hB=function(n,t){var e={};for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&t.indexOf(r)<0&&(e[r]=n[r]);if(n!=null&&typeof Object.getOwnPropertySymbols=="function")for(var i=0,r=Object.getOwnPropertySymbols(n);i{const h=At(u),d=l.nodes.get(h);o.syncNodeLikeDatum(u),d&&Object.assign(d.style,u.style)}),(i=c==null?void 0:c.edges)===null||i===void 0||i.forEach(u=>{const h=At(u),d=l.edges.get(h);o.syncEdgeDatum(u),d&&Object.assign(d.style,u.style)}),(a=c==null?void 0:c.combos)===null||a===void 0||a.forEach(u=>{const h=At(u),d=l.combos.get(h);o.syncNodeLikeDatum(u),d&&Object.assign(d.style,u.style)}),sr(s,new $n(Kt.AFTER_LAYOUT,{type:"pre"})),this.transformDataAfterLayout("pre",t)})}postLayout(){return Do(this,arguments,void 0,function*(t=this.options){if(!t)return;const e=Array.isArray(t)?t:[t],{graph:r}=this.context;sr(r,new $n(Kt.BEFORE_LAYOUT,{type:"post"}));for(let i=0;ii.afterLayout(t,e))}simulate(){return Do(this,void 0,void 0,function*(){if(!this.options)return{};const t=Array.isArray(this.options)?this.options:[this.options];let e={};for(let r=0;r{this.updateElementPosition(c,!1)}}):(o.execute(t),o.stop(),o.tick(s));const l=yield o.execute(t);if(i){const c=this.updateElementPosition(l,i);yield c==null?void 0:c.finished}return l})}treeLayout(t,e,r){return Do(this,void 0,void 0,function*(){const{type:i,animation:a}=e,s=va("layout",i);if(!s)return{};const{nodes:o=[],edges:l=[]}=t,c=new Vn({nodes:o.map(v=>({id:At(v),data:v.data||{}})),edges:l.map(v=>({id:At(v),source:v.source,target:v.target,data:v.data||{}}))});Q4(c);const u={nodes:[],edges:[]},h={nodes:[],edges:[]};c.getRoots(ii).forEach(v=>{_s(v,E=>{E.children=c.getSuccessors(E.id)},E=>c.getSuccessors(E.id),"TB");const g=s(v,e),{x:p,y,z:b=0}=g;_s(g,E=>{const{id:O,x:P,y:L,z:F=0}=E;u.nodes.push({id:O,style:{x:p,y,z:b}}),h.nodes.push({id:O,style:{x:P,y:L,z:F}})},E=>E.children,"TB")});const f=this.inferTreeLayoutOffset(h);if(XE(h,f),a){XE(u,f),this.updateElementPosition(u,!1);const v=this.updateElementPosition(h,a);yield v==null?void 0:v.finished}return h})}inferTreeLayoutOffset(t){var e;let[r,i]=[1/0,-1/0],[a,s]=[1/0,-1/0];(e=t.nodes)===null||e===void 0||e.forEach(g=>{const{x:p=0,y=0}=g.style||{};r=Math.min(r,p),i=Math.max(i,p),a=Math.min(a,y),s=Math.max(s,y)});const{canvas:o}=this.context,l=o.getSize(),[c,u]=o.getCanvasByViewport([0,0]),[h,d]=o.getCanvasByViewport(l);if(r>=c&&i<=h&&a>=u&&s<=d)return[0,0];const f=(c+h)/2,v=(u+d)/2;return[f-(r+i)/2,v-(a+s)/2]}stopLayout(){this.instance&&Iv(this.instance)&&(this.instance.stop(),this.instance=void 0),this.supervisor&&(this.supervisor.stop(),this.supervisor=void 0),this.animationResult&&(this.animationResult.finish(),this.animationResult=void 0)}getLayoutData(t){const{nodeFilter:e=()=>!0,preLayout:r=!1,isLayoutInvisibleNodes:i=!1}=t,{nodes:a,edges:s,combos:o}=this.context.model.getData(),{element:l,model:c}=this.context,u=g=>l.getElement(g),h=r?g=>{var p;return!i&&(((p=g.style)===null||p===void 0?void 0:p.visibility)==="hidden"||c.getAncestorsData(g.id,ii).some(Kr)||c.getAncestorsData(g.id,dn).some(Kr))?!1:e(g)}:g=>{const p=At(g),y=u(p);return!y||Ol(y)?!1:e(g)},d=a.filter(h),f=new Map(d.map(g=>[At(g),g]));o.forEach(g=>f.set(At(g),g));const v=s.filter(({source:g,target:p})=>f.has(g)&&f.has(p));return{nodes:d,edges:v,combos:o}}initGraphLayout(t){var e;const{element:r,viewport:i}=this.context,{type:a,enableWorker:s,animation:o,iterations:l}=t,c=hB(t,["type","enableWorker","animation","iterations"]),[u,h]=i.getCanvasSize(),d=[u/2,h/2],f=(e=t==null?void 0:t.nodeSize)!==null&&e!==void 0?e:b=>{const E=r==null?void 0:r.getElement(b.id);return E?E.attributes.size:r==null?void 0:r.getElementComputedStyle("node",b).size},v=va("layout",a);if(!v)return Xr.warn(`The layout of ${a} is not registered.`);const g=Object.getPrototypeOf(v.prototype)===Hu.prototype?v:aP(v,this.context),p=new g(this.context),y={nodeSize:f,width:u,height:h,center:d};switch(p.id){case"d3-force":case"d3-force-3d":Object.assign(y,{center:{x:u/2,y:h/2,z:0}});break;default:break}return pr(p.options,y,c),p}updateElementPosition(t,e){const{model:r,element:i}=this.context;return i?(r.updateData(t),i.draw({animation:e,silence:!0})):null}destroy(){var t;this.stopLayout(),this.context={},(t=this.supervisor)===null||t===void 0||t.kill(),this.supervisor=void 0,this.instance=void 0,this.instances=[],this.animationResult=void 0}}const XE=(n,t)=>{var e;const[r,i]=t;(e=n.nodes)===null||e===void 0||e.forEach(a=>{if(a.style){const{x:s=0,y:o=0}=a.style;a.style.x=s+r,a.style.y=o+i}else a.style={x:r,y:i}})};function fB(n){return[vB].reduce((e,r)=>r(e),n)}function vB(n){return!n.layout||Array.isArray(n.layout)||"preLayout"in n.layout||["antv-dagre","combo-combined","compact-box","circular","concentric","dagre","fishbone","grid","indented","mds","radial","random","snake","dendrogram","mindmap"].includes(n.layout.type)&&(n.layout.preLayout=!0),n}class gB extends Wf{constructor(t){super(t),this.category="plugin",this.setPlugins(this.context.options.plugins||[])}setPlugins(t){this.setExtensions(t)}getPluginInstance(t){const e=this.extensionMap[t];if(e)return e;Xr.warn(`Cannot find the plugin ${t}, will try to find it by type.`);const r=this.extensions.find(i=>i.type===t);if(r)return this.extensionMap[r.key]}}const id=["update-related-edges","collapse-expand-node","collapse-expand-combo","get-edge-actual-ends","arrange-draw-order"];class pB extends Wf{constructor(t){super(t),this.category="transform",this.setTransforms(this.context.options.transforms||[])}getTransforms(){}setTransforms(t){this.setExtensions([...id.slice(0,id.length-1),...t,id[id.length-1]])}getTransformInstance(t){return t?this.extensionMap[t]:this.extensionMap}}var Hl=function(n,t,e,r){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class mB{get padding(){return Ri(this.context.options.padding)}get paddingOffset(){const[t,e,r,i]=this.padding,[a,s,o]=[(i-e)/2,(t-r)/2,0];return[a,s,o]}constructor(t){this.landmarkCounter=0,this.context=t;const[e,r]=this.paddingOffset,{zoom:i,rotation:a,x:s=e,y:o=r}=t.options;this.transform({mode:"absolute",scale:i,translate:[s,o],rotate:a},!1)}get camera(){const{canvas:t}=this.context;return new Proxy(t.getCamera(),{get:(e,r)=>{const a=Object.entries(t.getLayers()).filter(([o])=>!["main"].includes(o)).map(([,o])=>o.getCamera()),s=e[r];if(typeof s=="function")return(...o)=>{const l=s.apply(e,o);return a.forEach(c=>{c[r].apply(c,o)}),l}}})}createLandmark(t){return this.camera.createLandmark(`landmark-${this.landmarkCounter++}`,t)}getAnimation(t){const e=Om(this.context.options,t);return e?Bs(Object.assign({},e),["easing","duration"]):!1}getCanvasSize(){const{canvas:t}=this.context,{width:e=0,height:r=0}=t.getConfig();return[e,r]}getCanvasCenter(){const{canvas:t}=this.context,{width:e=0,height:r=0}=t.getConfig();return[e/2,r/2,0]}getViewportCenter(){const[t,e]=this.camera.getPosition();return[t,e,0]}getGraphCenter(){return this.context.graph.getViewportByCanvas(this.getCanvasCenter())}getZoom(){return this.camera.getZoom()}getRotation(){return this.camera.getRoll()}getTranslateOptions(t){const{camera:e}=this,{mode:r,translate:i=[]}=t,a=this.getZoom(),s=e.getPosition(),o=e.getFocalPoint(),[l,c]=this.getCanvasCenter(),[u=0,h=0,d=0]=i,f=Ii([-u,-h,-d],a);return r==="relative"?{position:Ne(s,f),focalPoint:Ne(o,f)}:{position:Ne([l,c,s[2]],f),focalPoint:Ne([l,c,o[2]],f)}}getRotateOptions(t){const{mode:e,rotate:r=0}=t;return{roll:e==="relative"?this.camera.getRoll()+r:r}}getZoomOptions(t){const{zoomRange:e}=this.context.options,r=this.camera.getZoom(),{mode:i,scale:a=1}=t;return kn(i==="relative"?r*a:a,...e)}transform(t,e){return Hl(this,void 0,void 0,function*(){const{graph:r}=this.context,{translate:i,rotate:a,scale:s,origin:o}=t;this.cancelAnimation();const l=this.getAnimation(e);if(sr(r,new qh(Kt.BEFORE_TRANSFORM,t)),!a&&s&&!i&&o&&!l){this.camera.setZoomByViewportPoint(this.getZoomOptions(t),o),sr(r,new qh(Kt.AFTER_TRANSFORM,t));return}const c={};if(i&&Object.assign(c,this.getTranslateOptions(t)),ie(a)&&Object.assign(c,this.getRotateOptions(t)),ie(s)&&Object.assign(c,{zoom:this.getZoomOptions(t)}),l)return sr(r,new Si(Kt.BEFORE_ANIMATE,Hr.TRANSFORM,null,t)),new Promise(u=>{this.transformResolver=u,this.camera.gotoLandmark(this.createLandmark(c),Object.assign(Object.assign({},l),{onfinish:()=>{sr(r,new Si(Kt.AFTER_ANIMATE,Hr.TRANSFORM,null,t)),sr(r,new qh(Kt.AFTER_TRANSFORM,t)),this.transformResolver=void 0,u()}}))});this.camera.gotoLandmark(this.createLandmark(c),{duration:0}),sr(r,new qh(Kt.AFTER_TRANSFORM,t))})}fitView(t,e){return Hl(this,void 0,void 0,function*(){const[r,i,a,s]=this.padding,{when:o="always",direction:l="both"}=t||{},[c,u]=this.context.canvas.getSize(),h=c-s-i,d=u-r-a,f=this.context.canvas.getBounds(),v=this.getBBoxInViewport(f),[g,p]=Ia(v),y=l==="x"&&g>=h||l==="y"&&p>=d||l==="both"&&g>=h&&p>=d;if(o==="overflow"&&!y)return yield this.fitCenter({animation:e});const b=h/g,E=d/p,O=l==="x"?b:l==="y"?E:Math.min(b,E),P=this.getAnimation(e);yield this.transform({mode:"relative",scale:O,translate:Ne(ln(this.getCanvasCenter(),this.getBBoxInViewport(f).center),Ii(this.paddingOffset,O))},P)})}fitCenter(t){return Hl(this,void 0,void 0,function*(){const e=this.context.canvas.getBounds();yield this.focus(e,t)})}focusElements(t){return Hl(this,arguments,void 0,function*(e,r={}){const{element:i}=this.context;if(!i)return;const a=o=>r.shapes?o.getShape(r.shapes).getRenderBounds():o.getRenderBounds(),s=dl(e.map(o=>a(i.getElement(o))));yield this.focus(s,r)})}focus(t,e){return Hl(this,void 0,void 0,function*(){const r=this.context.graph.getViewportByCanvas(t.center),i=e.position||this.getCanvasCenter(),a=ln(i,r);yield this.transform({mode:"relative",translate:Ne(a,this.paddingOffset)},e.animation)})}getBBoxInViewport(t){const{min:e,max:r}=t,{graph:i}=this.context,[a,s]=i.getViewportByCanvas(e),[o,l]=i.getViewportByCanvas(r),c=new pn;return c.setMinMax([a,s,0],[o,l,0]),c}isInViewport(t,e=!1,r=0){const{graph:i}=this.context,a=this.getCanvasSize(),[s,o]=i.getCanvasByViewport([0,0]),[l,c]=i.getCanvasByViewport(a);let u=new pn;return u.setMinMax([s,o,0],[l,c,0]),r&&(u=Fa(u,r)),fo(t)?Li(t,u):e?TO(t,u):u.intersects(t)}cancelAnimation(){var t,e;!((t=this.camera.landmarks)===null||t===void 0)&&t.length&&this.camera.cancelLandmarkAnimation(),(e=this.transformResolver)===null||e===void 0||e.call(this)}}var mn=function(n,t,e,r){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(r.next(u))}catch(h){s(h)}}function l(u){try{c(r.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((r=r.apply(n,t||[])).next())})};class ad extends Uu{constructor(t){var e;super(),this.options={},this.rendered=!1,this.destroyed=!1,this.context={model:new q4},this.isCollapsingExpanding=!1,this.onResize=Cl(()=>{this.resize()},300),this._setOptions(Object.assign({},ad.defaultOptions,t),!0),this.context.graph=this,this.options.autoResize&&((e=globalThis.addEventListener)===null||e===void 0||e.call(globalThis,"resize",this.onResize))}getOptions(){return this.options}setOptions(t){this._setOptions(t,!1)}_setOptions(t,e){if(this.updateCanvas(t),Object.assign(this.options,fB(t)),e){const{data:d}=t;d&&this.addData(d);return}const{behaviors:r,combo:i,data:a,edge:s,layout:o,node:l,plugins:c,theme:u,transforms:h}=t;r&&this.setBehaviors(r),a&&this.setData(a),l&&this.setNode(l),s&&this.setEdge(s),i&&this.setCombo(i),o&&this.setLayout(o),u&&this.setTheme(u),c&&this.setPlugins(c),h&&this.setTransforms(h)}getSize(){return this.context.canvas?this.context.canvas.getSize():[this.options.width||0,this.options.height||0]}setSize(t,e){t&&(this.options.width=t),e&&(this.options.height=e),this.resize(t,e)}setZoomRange(t){this.options.zoomRange=t}getZoomRange(){return this.options.zoomRange}setNode(t){this.options.node=t,this.context.model.refreshData()}setEdge(t){this.options.edge=t,this.context.model.refreshData()}setCombo(t){this.options.combo=t,this.context.model.refreshData()}getTheme(){return this.options.theme}setTheme(t){this.options.theme=fe(t)?t(this.getTheme()):t}setLayout(t){this.options.layout=fe(t)?t(this.getLayout()):t}getLayout(){return this.options.layout}setBehaviors(t){var e;this.options.behaviors=fe(t)?t(this.getBehaviors()):t,(e=this.context.behavior)===null||e===void 0||e.setBehaviors(this.options.behaviors)}updateBehavior(t){this.setBehaviors(e=>e.map(r=>typeof r=="object"&&r.key===t.key?Object.assign(Object.assign({},r),t):r))}getBehaviors(){return this.options.behaviors||[]}setPlugins(t){var e;this.options.plugins=fe(t)?t(this.getPlugins()):t,(e=this.context.plugin)===null||e===void 0||e.setPlugins(this.options.plugins)}updatePlugin(t){this.setPlugins(e=>e.map(r=>typeof r=="object"&&r.key===t.key?Object.assign(Object.assign({},r),t):r))}getPlugins(){return this.options.plugins||[]}getPluginInstance(t){return this.context.plugin.getPluginInstance(t)}setTransforms(t){var e;this.options.transforms=fe(t)?t(this.getTransforms()):t,(e=this.context.transform)===null||e===void 0||e.setTransforms(this.options.transforms)}updateTransform(t){this.setTransforms(e=>e.map(r=>typeof r=="object"&&r.key===t.key?Object.assign(Object.assign({},r),t):r)),this.context.model.refreshData()}getTransforms(){return this.options.transforms||[]}getData(){return this.context.model.getData()}getElementData(t){return Array.isArray(t)?t.map(e=>this.context.model.getElementDataById(e)):this.context.model.getElementDataById(t)}getNodeData(t){return t===void 0?this.context.model.getNodeData():Array.isArray(t)?this.context.model.getNodeData(t):this.context.model.getNodeLikeDatum(t)}getEdgeData(t){return t===void 0?this.context.model.getEdgeData():Array.isArray(t)?this.context.model.getEdgeData(t):this.context.model.getEdgeDatum(t)}getComboData(t){return t===void 0?this.context.model.getComboData():Array.isArray(t)?this.context.model.getComboData(t):this.context.model.getNodeLikeDatum(t)}setData(t){this.context.model.setData(fe(t)?t(this.getData()):t)}addData(t){this.context.model.addData(fe(t)?t(this.getData()):t)}addNodeData(t){this.context.model.addNodeData(fe(t)?t(this.getNodeData()):t)}addEdgeData(t){this.context.model.addEdgeData(fe(t)?t(this.getEdgeData()):t)}addComboData(t){this.context.model.addComboData(fe(t)?t(this.getComboData()):t)}addChildrenData(t,e){this.context.model.addChildrenData(t,e)}updateData(t){this.context.model.updateData(fe(t)?t(this.getData()):t)}updateNodeData(t){this.context.model.updateNodeData(fe(t)?t(this.getNodeData()):t)}updateEdgeData(t){this.context.model.updateEdgeData(fe(t)?t(this.getEdgeData()):t)}updateComboData(t){this.context.model.updateComboData(fe(t)?t(this.getComboData()):t)}removeData(t){this.context.model.removeData(fe(t)?t(this.getData()):t)}removeNodeData(t){this.context.model.removeNodeData(fe(t)?t(this.getNodeData()):t)}removeEdgeData(t){this.context.model.removeEdgeData(fe(t)?t(this.getEdgeData()):t)}removeComboData(t){this.context.model.removeComboData(fe(t)?t(this.getComboData()):t)}getElementType(t){return this.context.model.getElementType(t)}getRelatedEdgesData(t,e="both"){return this.context.model.getRelatedEdgesData(t,e)}getNeighborNodesData(t){return this.context.model.getNeighborNodesData(t)}getAncestorsData(t,e){return this.context.model.getAncestorsData(t,e)}getParentData(t,e){return this.context.model.getParentData(t,e)}getChildrenData(t){return this.context.model.getChildrenData(t)}getDescendantsData(t){return this.context.model.getDescendantsData(t)}getElementDataByState(t,e){return this.context.model.getElementDataByState(t,e)}initCanvas(){return mn(this,void 0,void 0,function*(){var t;if(this.context.canvas)return yield this.context.canvas.ready;const{container:e="container",width:r,height:i,renderer:a,cursor:s,background:o,canvas:l,devicePixelRatio:c=(t=globalThis.devicePixelRatio)!==null&&t!==void 0?t:1}=this.options;if(e instanceof RE)this.context.canvas=e,s&&e.setCursor(s),a&&e.setRenderer(a),yield e.ready;else{const u=Ge(e)?document.getElementById(e):e,h=DE(u);this.emit(Kt.BEFORE_CANVAS_INIT,{container:u,width:r,height:i});const d=Object.assign(Object.assign({},l),{container:u,width:r||h[0],height:i||h[1],background:o,renderer:a,cursor:s,devicePixelRatio:c}),f=new RE(d);this.context.canvas=f,yield f.ready,this.emit(Kt.AFTER_CANVAS_INIT,{canvas:f})}})}updateCanvas(t){var e,r;const{renderer:i,cursor:a,height:s,width:o}=t,l=this.context.canvas;l&&(i&&(this.emit(Kt.BEFORE_RENDERER_CHANGE,{renderer:this.options.renderer}),l.setRenderer(i),this.emit(Kt.AFTER_RENDERER_CHANGE,{renderer:i})),a&&l.setCursor(a),(ie(o)||ie(s))&&this.setSize((e=o!=null?o:this.options.width)!==null&&e!==void 0?e:0,(r=s!=null?s:this.options.height)!==null&&r!==void 0?r:0))}initRuntime(){this.context.options=this.options,this.context.batch||(this.context.batch=new Y4(this.context)),this.context.plugin||(this.context.plugin=new gB(this.context)),this.context.viewport||(this.context.viewport=new mB(this.context)),this.context.transform||(this.context.transform=new pB(this.context)),this.context.element||(this.context.element=new J4(this.context)),this.context.animation||(this.context.animation=new U4(this.context)),this.context.layout||(this.context.layout=new dB(this.context)),this.context.behavior||(this.context.behavior=new H4(this.context))}prepare(){return mn(this,void 0,void 0,function*(){if(yield Promise.resolve(),this.destroyed){console.error(ga("The graph instance has been destroyed"));return}yield this.initCanvas(),this.initRuntime()})}render(){return mn(this,void 0,void 0,function*(){if(yield this.prepare(),sr(this,new $n(Kt.BEFORE_RENDER)),this.options.layout)if(!this.rendered&&iP(this.options.layout)){const t=yield this.context.element.preLayoutDraw({type:"render"});yield Promise.all([t==null?void 0:t.finished,this.autoFit()])}else{const t=this.context.element.draw({type:"render"});yield Promise.all([t==null?void 0:t.finished,this.context.layout.postLayout()]),yield this.autoFit()}else{const t=this.context.element.draw({type:"render"});yield Promise.all([t==null?void 0:t.finished,this.autoFit()])}this.rendered=!0,sr(this,new $n(Kt.AFTER_RENDER))})}draw(){return mn(this,void 0,void 0,function*(){var t;yield this.prepare(),yield(t=this.context.element.draw())===null||t===void 0?void 0:t.finished})}layout(t){return mn(this,void 0,void 0,function*(){yield this.context.layout.postLayout(t)})}stopLayout(){this.context.layout.stopLayout()}clear(){return mn(this,void 0,void 0,function*(){const{model:t,element:e}=this.context;t.setData({}),t.clearChanges(),e==null||e.clear()})}destroy(){var t;sr(this,new $n(Kt.BEFORE_DESTROY));const{layout:e,animation:r,element:i,model:a,canvas:s,behavior:o,plugin:l}=this.context;l==null||l.destroy(),o==null||o.destroy(),e==null||e.destroy(),r==null||r.destroy(),i==null||i.destroy(),a.destroy(),s==null||s.destroy(),this.options={},this.context={},this.off(),(t=globalThis.removeEventListener)===null||t===void 0||t.call(globalThis,"resize",this.onResize),this.destroyed=!0,sr(this,new $n(Kt.AFTER_DESTROY))}getCanvas(){return this.context.canvas}resize(t,e){var r;const i=DE((r=this.context.canvas)===null||r===void 0?void 0:r.getContainer()),a=[t||i[0],e||i[1]];if(!this.context.canvas)return;const s=this.context.canvas.getSize();Zn(a,s)||(sr(this,new $n(Kt.BEFORE_SIZE_CHANGE,{size:a})),this.context.canvas.resize(...a),sr(this,new $n(Kt.AFTER_SIZE_CHANGE,{size:a})))}fitView(t,e){return mn(this,void 0,void 0,function*(){var r;yield(r=this.context.viewport)===null||r===void 0?void 0:r.fitView(t,e)})}fitCenter(t){return mn(this,void 0,void 0,function*(){var e;yield(e=this.context.viewport)===null||e===void 0?void 0:e.fitCenter({animation:t})})}autoFit(){return mn(this,void 0,void 0,function*(){const{autoFit:t}=this.context.options;if(t)if(Ge(t))t==="view"?yield this.fitView():t==="center"&&(yield this.fitCenter());else{const{type:e,animation:r}=t;e==="view"?yield this.fitView(t.options,r):e==="center"&&(yield this.fitCenter(r))}})}focusElement(t,e){return mn(this,void 0,void 0,function*(){var r;yield(r=this.context.viewport)===null||r===void 0?void 0:r.focusElements(Array.isArray(t)?t:[t],{animation:e})})}zoomBy(t,e,r){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",scale:t,origin:r},e)})}zoomTo(t,e,r){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",scale:t,origin:r},e)})}getZoom(){return this.context.viewport.getZoom()}rotateBy(t,e,r){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",rotate:t,origin:r},e)})}rotateTo(t,e,r){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",rotate:t,origin:r},e)})}getRotation(){return this.context.viewport.getRotation()}translateBy(t,e){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",translate:t},e)})}translateTo(t,e){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",translate:t},e)})}getPosition(){return ln([0,0],this.getCanvasByViewport([0,0]))}translateElementBy(t,e){return mn(this,arguments,void 0,function*(r,i,a=!0){var s,o;const[l,c]=Fn(r)?[r,(s=i)!==null&&s!==void 0?s:!0]:[{[r]:i},a];Object.entries(l).forEach(([u,h])=>this.context.model.translateNodeLikeBy(u,h)),yield(o=this.context.element.draw({animation:c,stage:"translate"}))===null||o===void 0?void 0:o.finished})}translateElementTo(t,e){return mn(this,arguments,void 0,function*(r,i,a=!0){var s,o;const[l,c]=Fn(r)?[r,(s=i)!==null&&s!==void 0?s:!0]:[{[r]:i},a];Object.entries(l).forEach(([u,h])=>this.context.model.translateNodeLikeTo(u,h)),yield(o=this.context.element.draw({animation:c,stage:"translate"}))===null||o===void 0?void 0:o.finished})}getElementPosition(t){return this.context.model.getElementPosition(t)}getElementRenderStyle(t){return Wv(this.context.element.getElement(t).attributes,["context"])}setElementVisibility(t,e){return mn(this,arguments,void 0,function*(r,i,a=!0){var s,o;const[l,c]=Fn(r)?[r,(s=i)!==null&&s!==void 0?s:!0]:[{[r]:i},a],u={nodes:[],edges:[],combos:[]};Object.entries(l).forEach(([f,v])=>{const g=this.getElementType(f);u[`${g}s`].push({id:f,style:{visibility:v}})});const{model:h,element:d}=this.context;h.preventUpdateNodeLikeHierarchy(()=>{h.updateData(u)}),yield(o=d.draw({animation:c,stage:"visibility"}))===null||o===void 0?void 0:o.finished})}showElement(t,e){return mn(this,void 0,void 0,function*(){const r=Array.isArray(t)?t:[t];yield this.setElementVisibility(Object.fromEntries(r.map(i=>[i,"visible"])),e)})}hideElement(t,e){return mn(this,void 0,void 0,function*(){const r=Array.isArray(t)?t:[t];yield this.setElementVisibility(Object.fromEntries(r.map(i=>[i,"hidden"])),e)})}getElementVisibility(t){var e,r;const i=this.context.element.getElement(t);return(r=(e=i==null?void 0:i.style)===null||e===void 0?void 0:e.visibility)!==null&&r!==void 0?r:"visible"}setElementZIndex(t,e){return mn(this,void 0,void 0,function*(){var r;const i={nodes:[],edges:[],combos:[]},a=Fn(t)?t:{[t]:e};Object.entries(a).forEach(([l,c])=>{const u=this.getElementType(l);i[`${u}s`].push({id:l,style:{zIndex:c}})});const{model:s,element:o}=this.context;s.preventUpdateNodeLikeHierarchy(()=>s.updateData(i)),yield(r=o.draw({animation:!1,stage:"zIndex"}))===null||r===void 0?void 0:r.finished})}frontElement(t){return mn(this,void 0,void 0,function*(){const e=Array.isArray(t)?t:[t],{model:r}=this.context,i={};e.map(a=>{const s=r.getFrontZIndex(a);if(r.getElementType(a)==="combo"){const l=r.getAncestorsData(a,dn).at(-1)||this.getComboData(a),c=[l,...r.getDescendantsData(At(l))],u=s-IE(l);c.forEach(d=>{i[At(d)]=this.getElementZIndex(At(d))+u});const{internal:h}=fv(c.map(At),d=>r.getRelatedEdgesData(d));h.forEach(d=>{const f=At(d);i[f]=this.getElementZIndex(f)+u})}else i[a]=s}),yield this.setElementZIndex(i)})}getElementZIndex(t){return IE(this.context.model.getElementDataById(t))}setElementState(t,e){return mn(this,arguments,void 0,function*(r,i,a=!0){var s,o;const[l,c]=Fn(r)?[r,(s=i)!==null&&s!==void 0?s:!0]:[{[r]:i},a],u=d=>d?Array.isArray(d)?d:[d]:[],h={nodes:[],edges:[],combos:[]};Object.entries(l).forEach(([d,f])=>{const v=this.getElementType(d);h[`${v}s`].push({id:d,states:u(f)})}),this.updateData(h),yield(o=this.context.element.draw({animation:c,stage:"state"}))===null||o===void 0?void 0:o.finished})}getElementState(t){return this.context.model.getElementState(t)}getElementRenderBounds(t){return this.context.element.getElement(t).getRenderBounds()}collapseElement(t){return mn(this,arguments,void 0,function*(e,r=!0){const{model:i,element:a}=this.context;if(Kr(i.getNodeLikeData([e])[0])||this.isCollapsingExpanding)return;typeof r=="boolean"&&(r={animation:r,align:!0});const s=i.getElementType(e);yield this.frontElement(e),this.isCollapsingExpanding=!0,i.updateData(s==="node"?{nodes:[{id:e,style:{collapsed:!0}}]}:{combos:[{id:e,style:{collapsed:!0}}]}),s==="node"?yield a.collapseNode(e,r):s==="combo"&&(yield a.collapseCombo(e,!!r.animation)),this.isCollapsingExpanding=!1})}expandElement(t){return mn(this,arguments,void 0,function*(e,r=!0){const{model:i,element:a}=this.context;if(!Kr(i.getNodeLikeData([e])[0])||this.isCollapsingExpanding)return;typeof r=="boolean"&&(r={animation:r,align:!0});const s=i.getElementType(e);this.isCollapsingExpanding=!0,i.updateData(s==="node"?{nodes:[{id:e,style:{collapsed:!1}}]}:{combos:[{id:e,style:{collapsed:!1}}]}),s==="node"?yield a.expandNode(e,r):s==="combo"&&(yield a.expandCombo(e,!!r.animation)),this.isCollapsingExpanding=!1})}setElementCollapsibility(t,e){const r=this.getElementType(t);r==="node"?this.updateNodeData([{id:t,style:{collapsed:e}}]):r==="combo"&&this.updateComboData([{id:t,style:{collapsed:e}}])}toDataURL(){return mn(this,arguments,void 0,function*(t={}){return this.context.canvas.toDataURL(t)})}getCanvasByViewport(t){return this.context.canvas.getCanvasByViewport(t)}getViewportByCanvas(t){return this.context.canvas.getViewportByCanvas(t)}getClientByCanvas(t){return this.context.canvas.getClientByCanvas(t)}getCanvasByClient(t){return this.context.canvas.getCanvasByClient(t)}getViewportCenter(){return this.context.viewport.getViewportCenter()}getCanvasCenter(){return this.context.viewport.getCanvasCenter()}on(t,e,r){return super.on(t,e,r)}once(t,e){return super.once(t,e)}off(t,e){return super.off(t,e)}}ad.defaultOptions={autoResize:!1,theme:"light",rotation:0,zoom:1,zoomRange:[.01,10]};var yB=function(n,t){var e={};for(var r in n)Object.prototype.hasOwnProperty.call(n,r)&&t.indexOf(r)<0&&(e[r]=n[r]);if(n!=null&&typeof Object.getOwnPropertySymbols=="function")for(var i=0,r=Object.getOwnPropertySymbols(n);i{if(o.depth=l,!o.children)return o;const{children:c}=o,u=yB(o,["children"]);return Object.assign(Object.assign({},u),{children:c.map(h=>h.id)})},getEdgeData:r=(o,l)=>({source:o.id,target:l.id}),getChildren:i=o=>o.children||[]}=t||{},a=[],s=[];return _s(n,(o,l)=>{a.push(e(o,l));const c=i(o);for(const u of c)s.push(r(o,u))},o=>i(o),"TB"),{nodes:a,edges:s}}class xB extends ts{beforeDraw(t){const{add:e,update:r}=t,{model:i}=this.context;return[...e.edges.entries(),...r.edges.entries()].forEach(([,a])=>{KE(i,a)}),t}}const KE=(n,t)=>{const{source:e,target:r}=t,i=n.getElementDataById(e),a=n.getElementDataById(r),s=g1(i,h=>n.getParentData(h,dn)),o=g1(a,h=>n.getParentData(h,dn)),l=At(s),c=At(o),u={sourceNode:l,targetNode:c};return t.style?Object.assign(t.style,u):t.style=u,t},EB=(n,t,e)=>{const[r,i]=t,[a,s]=e;if(i===r)return a;const o=(n-r)/(i-r);return a+o*(s-a)},wB=(n,t,e)=>{const[r,i]=t,[a,s]=e,o=Math.log(n-r+1)/Math.log(i-r+1);return a+o*(s-a)},SB=(n,t,e,r=2)=>{const[i,a]=t,[s,o]=e,l=Math.pow((n-i)/(a-i),r);return s+l*(o-s)},MB=(n,t,e)=>{const[r,i]=t,[a,s]=e,o=Math.sqrt((n-r)/(i-r));return a+o*(s-a)};class sd extends ts{constructor(t,e){super(t,pr({},sd.defaultOptions,e)),this.assignSizeByCentrality=(r,i,a,s,o,l)=>{const c=[i,a],u=[s[0],o[0]],h=[s[1],o[1]],d=[s[2],o[2]],f=(v,g)=>{if(typeof l=="function")return l(v,c,g);switch(l){case"linear":return EB(v,c,g);case"log":return wB(v,c,g);case"pow":return SB(v,c,g,2);case"sqrt":return MB(v,c,g);default:return g[0]}};return[f(r,u),f(r,h),f(r,d)]}}beforeDraw(t){const{model:e}=this.context,r=e.getNodeData(),i=si(this.options.maxSize),a=si(this.options.minSize),s=this.getCentralities(this.options.centrality),o=s.size>0?Math.max(...s.values()):0,l=s.size>0?Math.min(...s.values()):0;return r.forEach(c=>{var u;const h=this.assignSizeByCentrality(s.get(At(c))||0,l,o,a,i,this.options.scale),d=(u=this.context.element)===null||u===void 0?void 0:u.getElement(At(c)),f={size:h};this.assignLabelStyle(f,h,c,d),(!d||!Kh(f,d.attributes))&&ci(t,d?"update":"add","node",pr(c,{style:f}),!0)}),t}assignLabelStyle(t,e,r,i){var a;const s=i?i.config.style:(a=this.context.element)===null||a===void 0?void 0:a.getElementComputedStyle("node",r);if(Object.assign(t,Bs(s,["labelFontSize","labelLineHeight"])),this.options.mapLabelSize){const o=this.getLabelSizeByNodeSize(e,1/0,Number(t.labelFontSize));Object.assign(t,{labelFontSize:o,labelLineHeight:o+AO(t.labelPadding)})}return t}getLabelSizeByNodeSize(t,e,r){const i=Math.min(...t)/2,[a,s]=Array.isArray(this.options.mapLabelSize)?this.options.mapLabelSize:[r,e];return Math.min(s,Math.max(i,a))}getCentralities(t){const{model:e}=this.context,r=e.getData();if(typeof t=="function")return t(r);const i=e.getRelatedEdgesData.bind(e);return yy(r,i,t)}}sd.defaultOptions={centrality:{type:"degree"},maxSize:80,minSize:20,scale:"linear",mapLabelSize:!1};class od extends ts{constructor(t,e){super(t,Object.assign({},od.defaultOptions,e))}get ref(){return this.context.model.getRootsData()[0]}afterLayout(){var t;const e=ir(this.ref),{graph:r,model:i}=this.context;(t=i.getData().nodes)===null||t===void 0||t.forEach(s=>{var o;if(At(s)===At(this.ref))return;const l=wy(ln(ir(s),e)),c=Math.abs(l)>Math.PI/2,u=!s.children||s.children.length===0,h=At(s),d=(o=this.context.element)===null||o===void 0?void 0:o.getElement(h);if(!d||!d.isVisible())return;const f=si(r.getElementRenderStyle(h).size)[0]/2,v=(u?1:-1)*(f+this.options.offset),g=[["translate",v*Math.cos(l),v*Math.sin(l)],["rotate",c?Gr(l)+180:Gr(l)]];i.updateNodeData([{id:At(s),style:{labelTextAlign:c===u?"right":"left",labelTextBaseline:"middle",labelTransform:g}}])}),r.draw()}}od.defaultOptions={offset:5};const AB="quadratic",QE=["top","top-right","right","right-bottom","bottom","bottom-left","left","left-top"];class ld extends ts{constructor(t,e){super(t,Object.assign({},ld.defaultOptions,e)),this.cacheMergeStyle=new Map,this.getAffectedParallelEdges=r=>{const{add:{edges:i},update:{nodes:a,edges:s,combos:o},remove:{edges:l}}=r,{model:c}=this.context,u=new Map,h=(v,g)=>{c.getRelatedEdgesData(g).forEach(y=>!u.has(At(y))&&u.set(At(y),y))};a.forEach(h),o.forEach(h);const d=v=>{const g=c.getEdgeData().map(y=>KE(c,y));TB(v,g,!0).forEach(y=>!u.has(At(y))&&u.set(At(y),y))};if(l.size&&l.forEach(d),i.size&&i.forEach(d),s.size){const v=Kb(Xv(c.getChanges())).update.edges;s.forEach(g=>{var p;d(g);const y=(p=v.find(b=>At(b.value)===At(g)))===null||p===void 0?void 0:p.original;y&&!W0(g,y)&&d(y)})}ra(this.options.edges)||u.forEach((v,g)=>!this.options.edges.includes(g)&&u.delete(g));const f=c.getEdgeData().map(At);return new Map([...u].sort((v,g)=>f.indexOf(v[0])-f.indexOf(g[0])))},this.applyBundlingStyle=(r,i,a)=>{const{edgeMap:s,reverses:o}=qE(i);s.forEach(l=>{l.forEach((c,u,h)=>{var d;const f=h.length,v=c.style||{};if(c.source===c.target){const y=QE.length;v.loopPlacement=QE[u%y],v.loopDist=Math.floor(u/y)*a+50}else if(f===1)v.curveOffset=0;else{const y=(u%2===0?1:-1)*(o[`${c.source}|${c.target}|${u}`]?-1:1);v.curveOffset=f%2===1?y*Math.ceil(u/2)*a*2:y*(Math.floor(u/2)*a*2+a)}const g=Object.assign(c,{type:AB,style:v}),p=(d=this.context.element)===null||d===void 0?void 0:d.getElement(At(c));(!p||!Kh(g.style,p.attributes))&&ci(r,p?"update":"add","edge",g,!0)})})},this.resetEdgeStyle=r=>{const i=r.style||{},a=this.cacheMergeStyle.get(At(r))||{};return 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zt=kt.selected||{},Ut=q.map(Qt=>Qt.name).filter(Qt=>zt[Qt]===!1);pt(Ut)},[q]),gt=(0,A.useMemo)(()=>q.filter(kt=>!xt.includes(kt.name)),[q,xt]),Et=(0,A.useMemo)(()=>{const kt=rt({pieData:gt,internalDiameterRatio:ht}),zt=q.map(Qt=>Qt.name),Ut=q.reduce((Qt,Ee)=>(Qt[Ee.name]=!xt.includes(Ee.name),Qt),{});return kt.legend=X(W(W({},kt.legend),ut),{data:zt,selected:Ut}),kt},[gt,ut,ht,q,xt]);return A.createElement(Z.Z,{onEvents:{legendselectchanged:wt},className:`w-full h-full ${it}`,option:Et,style:W({height:"100%"},at)})};Q.Z=nt},88618:function(U,Q,S){"use strict";var A,Z=Object.defineProperty,B=H=>{throw TypeError(H)},N=Math.pow,T=(H,x,w)=>x in H?Z(H,x,{enumerable:!0,configurable:!0,writable:!0,value:w}):H[x]=w,k=(H,x,w)=>T(H,typeof x!="symbol"?x+"":x,w),_=(H,x,w)=>x.has(H)||B("Cannot "+w),C=(H,x,w)=>(_(H,x,"read from private field"),w?w.call(H):x.get(H)),R=(H,x,w)=>x.has(H)?B("Cannot add the same private member more than once"):x instanceof WeakSet?x.add(H):x.set(H,w),z=(H,x,w,m)=>(_(H,x,"write to private field"),m?m.call(H,w):x.set(H,w),w),D=(H,x,w)=>(_(H,x,"access private method"),w),W,X,K;A={value:!0};var rt=S(34634),nt=S(34402);const q=" ".repeat(2),it=" ".repeat(4);function at(){return ut(this)}function ut(H,x={}){const{maxRows:w=15,maxColumns:m=10,maxNumSize:M=8,padMinus:j="auto"}=x;return`${H.constructor.name} { -${q}[ -${it}${ht(H,w,m,M,j)} -${q}] -${q}rows: ${H.rows} -${q}columns: ${H.columns} -}`}function ht(H,x,w,m,M){const{rows:j,columns:tt}=H,et=Math.min(j,x),st=Math.min(tt,w),lt=[];if(M==="auto"){M=!1;t:for(let Tt=0;Tt=0&&w?` ${pt(H,x-1)}`:pt(H,x)).padEnd(x)}function pt(H,x){let w=H.toString();if(w.length<=x)return w;let m=H.toFixed(x);if(m.length>x&&(m=H.toFixed(Math.max(0,x-(m.length-x)))),m.length<=x&&!m.startsWith("0.000")&&!m.startsWith("-0.000"))return m;let M=H.toExponential(x);return M.length>x&&(M=H.toExponential(Math.max(0,x-(M.length-x)))),M.slice(0)}function wt(H,x){H.prototype.add=function(m){return typeof m=="number"?this.addS(m):this.addM(m)},H.prototype.addS=function(m){for(let M=0;M>m);return this},H.prototype.signPropagatingRightShiftM=function(m){if(m=x.checkMatrix(m),this.rows!==m.rows||this.columns!==m.columns)throw new RangeError("Matrices dimensions must be equal");for(let M=0;M>m.get(M,j));return this},H.signPropagatingRightShift=function(m,M){return new x(m).signPropagatingRightShift(M)},H.prototype.rightShift=function(m){return typeof m=="number"?this.rightShiftS(m):this.rightShiftM(m)},H.prototype.rightShiftS=function(m){for(let M=0;M>>m);return this},H.prototype.rightShiftM=function(m){if(m=x.checkMatrix(m),this.rows!==m.rows||this.columns!==m.columns)throw new RangeError("Matrices dimensions must be equal");for(let M=0;M>>m.get(M,j));return this},H.rightShift=function(m,M){return new x(m).rightShift(M)},H.prototype.zeroFillRightShift=H.prototype.rightShift,H.prototype.zeroFillRightShiftS=H.prototype.rightShiftS,H.prototype.zeroFillRightShiftM=H.prototype.rightShiftM,H.zeroFillRightShift=H.rightShift,H.prototype.not=function(){for(let m=0;mm)throw new RangeError("Row index out of range")}function Et(H,x,w){let m=w?H.columns:H.columns-1;if(x<0||x>m)throw new RangeError("Column index out of range")}function kt(H,x){if(x.to1DArray&&(x=x.to1DArray()),x.length!==H.columns)throw new RangeError("vector size must be the same as the number of columns");return x}function zt(H,x){if(x.to1DArray&&(x=x.to1DArray()),x.length!==H.rows)throw new RangeError("vector size must be the same as the number of rows");return x}function Ut(H,x){if(!rt.isAnyArray(x))throw new TypeError("row indices must be an array");for(let w=0;w=H.rows)throw new RangeError("row indices are out of range")}function Qt(H,x){if(!rt.isAnyArray(x))throw new TypeError("column indices must be an array");for(let w=0;w=H.columns)throw new RangeError("column indices are out of range")}function Ee(H,x,w,m,M){if(arguments.length!==5)throw new RangeError("expected 4 arguments");if(tn("startRow",x),tn("endRow",w),tn("startColumn",m),tn("endColumn",M),x>w||m>M||x<0||x>=H.rows||w<0||w>=H.rows||m<0||m>=H.columns||M<0||M>=H.columns)throw new RangeError("Submatrix indices are out of range")}function Le(H,x=0){let w=[];for(let m=0;m=j)throw new RangeError("min must be smaller than max");let et=j-M,st=new ne(x,w);for(let lt=0;ltm?(j=!0,m=w):(M=!1,j=!0);x++}return M}isReducedEchelonForm(){let x=0,w=0,m=-1,M=!0,j=!1;for(;xm?(j=!0,m=w):(M=!1,j=!0);for(let tt=w+1;ttx.get(M,m)&&(M=j);if(x.get(M,m)===0)m++;else{x.swapRows(w,M);let j=x.get(w,m);for(let tt=m;tt=0;)if(x.maxRow(M)===0)M--;else{let j=0,tt=!1;for(;jw[m]&&(w[m]=this.get(m,M));return w}case"column":{const w=new Array(this.columns).fill(Number.NEGATIVE_INFINITY);for(let m=0;mw[M]&&(w[M]=this.get(m,M));return w}case void 0:{let w=this.get(0,0);for(let m=0;mw&&(w=this.get(m,M));return w}default:throw new Error(`invalid option: ${x}`)}}maxIndex(){er(this);let x=this.get(0,0),w=[0,0];for(let m=0;mx&&(x=this.get(m,M),w[0]=m,w[1]=M);return w}min(x){if(this.isEmpty())return NaN;switch(x){case"row":{const w=new Array(this.rows).fill(Number.POSITIVE_INFINITY);for(let m=0;mw&&(w=this.get(x,m));return w}maxRowIndex(x){gt(this,x),er(this);let w=this.get(x,0),m=[x,0];for(let M=1;Mw&&(w=this.get(x,M),m[1]=M);return m}minRow(x){if(gt(this,x),this.isEmpty())return NaN;let w=this.get(x,0);for(let m=1;mw&&(w=this.get(m,x));return w}maxColumnIndex(x){Et(this,x),er(this);let w=this.get(0,x),m=[0,x];for(let M=1;Mw&&(w=this.get(M,x),m[0]=M);return m}minColumn(x){if(Et(this,x),this.isEmpty())return NaN;let w=this.get(0,x);for(let m=1;m=1;M/=2)M&1&&(w=w.mmul(m)),m=m.mmul(m);return w}strassen2x2(x){x=ne.checkMatrix(x);let w=new ne(2,2);const m=this.get(0,0),M=x.get(0,0),j=this.get(0,1),tt=x.get(0,1),et=this.get(1,0),st=x.get(1,0),lt=this.get(1,1),Tt=x.get(1,1),vt=(m+lt)*(M+Tt),Ft=(et+lt)*M,qt=m*(tt-Tt),Lt=lt*(st-M),Zt=(m+j)*Tt,le=(et-m)*(M+tt),bt=(j-lt)*(st+Tt),Wt=vt+Lt-Zt+bt,ue=qt+Zt,we=Ft+Lt,Ae=vt-Ft+qt+le;return w.set(0,0,Wt),w.set(0,1,ue),w.set(1,0,we),w.set(1,1,Ae),w}strassen3x3(x){x=ne.checkMatrix(x);let w=new ne(3,3);const m=this.get(0,0),M=this.get(0,1),j=this.get(0,2),tt=this.get(1,0),et=this.get(1,1),st=this.get(1,2),lt=this.get(2,0),Tt=this.get(2,1),vt=this.get(2,2),Ft=x.get(0,0),qt=x.get(0,1),Lt=x.get(0,2),Zt=x.get(1,0),le=x.get(1,1),bt=x.get(1,2),Wt=x.get(2,0),ue=x.get(2,1),we=x.get(2,2),Ae=(m+M+j-tt-et-Tt-vt)*le,un=(m-tt)*(-qt+le),ge=et*(-Ft+qt+Zt-le-bt-Wt+we),be=(-m+tt+et)*(Ft-qt+le),Ze=(tt+et)*(-Ft+qt),Mt=m*Ft,Yt=(-m+lt+Tt)*(Ft-Lt+bt),Jt=(-m+lt)*(Lt-bt),Ht=(lt+Tt)*(-Ft+Lt),fn=(m+M+j-et-st-lt-Tt)*bt,$e=Tt*(-Ft+Lt+Zt-le-bt-Wt+ue),hn=(-j+Tt+vt)*(le+Wt-ue),vn=(j-vt)*(le-ue),nr=j*Wt,Hn=(Tt+vt)*(-Wt+ue),gn=(-j+et+st)*(bt+Wt-we),ti=(j-st)*(bt-we),fi=(et+st)*(-Wt+we),ze=M*Zt,Bn=st*ue,Mr=tt*Lt,_r=lt*qt,Tn=vt*we,Ca=Mt+nr+ze,Js=Ae+be+Ze+Mt+hn+nr+Hn,yd=Mt+Yt+Ht+fn+nr+gn+fi,bd=un+ge+be+Mt+nr+gn+ti,hs=un+be+Ze+Mt+Bn,Wo=nr+gn+ti+fi+Mr,xd=Mt+Yt+Jt+$e+hn+vn+nr,Kl=hn+vn+nr+Hn+_r,Ed=Mt+Yt+Jt+Ht+Tn;return w.set(0,0,Ca),w.set(0,1,Js),w.set(0,2,yd),w.set(1,0,bd),w.set(1,1,hs),w.set(1,2,Wo),w.set(2,0,xd),w.set(2,1,Kl),w.set(2,2,Ed),w}mmulStrassen(x){x=ne.checkMatrix(x);let w=this.clone(),m=w.rows,M=w.columns,j=x.rows,tt=x.columns;M!==j&&console.warn(`Multiplying ${m} x ${M} and ${j} x ${tt} matrix: dimensions do not match.`);function et(vt,Ft,qt){let Lt=vt.rows,Zt=vt.columns;if(Lt===Ft&&Zt===qt)return vt;{let le=re.zeros(Ft,qt);return le=le.setSubMatrix(vt,0,0),le}}let st=Math.max(m,j),lt=Math.max(M,tt);w=et(w,st,lt),x=et(x,st,lt);function Tt(vt,Ft,qt,Lt){if(qt<=512||Lt<=512)return vt.mmul(Ft);qt%2===1&&Lt%2===1?(vt=et(vt,qt+1,Lt+1),Ft=et(Ft,qt+1,Lt+1)):qt%2===1?(vt=et(vt,qt+1,Lt),Ft=et(Ft,qt+1,Lt)):Lt%2===1&&(vt=et(vt,qt,Lt+1),Ft=et(Ft,qt,Lt+1));let Zt=parseInt(vt.rows/2,10),le=parseInt(vt.columns/2,10),bt=vt.subMatrix(0,Zt-1,0,le-1),Wt=Ft.subMatrix(0,Zt-1,0,le-1),ue=vt.subMatrix(0,Zt-1,le,vt.columns-1),we=Ft.subMatrix(0,Zt-1,le,Ft.columns-1),Ae=vt.subMatrix(Zt,vt.rows-1,0,le-1),un=Ft.subMatrix(Zt,Ft.rows-1,0,le-1),ge=vt.subMatrix(Zt,vt.rows-1,le,vt.columns-1),be=Ft.subMatrix(Zt,Ft.rows-1,le,Ft.columns-1),Ze=Tt(re.add(bt,ge),re.add(Wt,be),Zt,le),Mt=Tt(re.add(Ae,ge),Wt,Zt,le),Yt=Tt(bt,re.sub(we,be),Zt,le),Jt=Tt(ge,re.sub(un,Wt),Zt,le),Ht=Tt(re.add(bt,ue),be,Zt,le),fn=Tt(re.sub(Ae,bt),re.add(Wt,we),Zt,le),$e=Tt(re.sub(ue,ge),re.add(un,be),Zt,le),hn=re.add(Ze,Jt);hn.sub(Ht),hn.add($e);let vn=re.add(Yt,Ht),nr=re.add(Mt,Jt),Hn=re.sub(Ze,Mt);Hn.add(Yt),Hn.add(fn);let gn=re.zeros(2*hn.rows,2*hn.columns);return gn=gn.setSubMatrix(hn,0,0),gn=gn.setSubMatrix(vn,hn.rows,0),gn=gn.setSubMatrix(nr,0,hn.columns),gn=gn.setSubMatrix(Hn,hn.rows,hn.columns),gn.subMatrix(0,qt-1,0,Lt-1)}return Tt(w,x,st,lt)}scaleRows(x={}){if(typeof x!="object")throw new TypeError("options must be an object");const{min:w=0,max:m=1}=x;if(!Number.isFinite(w))throw new TypeError("min must be a number");if(!Number.isFinite(m))throw new TypeError("max must be a number");if(w>=m)throw new RangeError("min must be smaller than max");let M=new ne(this.rows,this.columns);for(let j=0;j0&&nt(tt,{min:w,max:m,output:tt}),M.setRow(j,tt)}return M}scaleColumns(x={}){if(typeof x!="object")throw new TypeError("options must be an object");const{min:w=0,max:m=1}=x;if(!Number.isFinite(w))throw new TypeError("min must be a number");if(!Number.isFinite(m))throw new TypeError("max must be a number");if(w>=m)throw new RangeError("min must be smaller than max");let M=new ne(this.rows,this.columns);for(let j=0;jm||w<0||w>=this.columns||m<0||m>=this.columns)throw new RangeError("Argument out of range");let M=new ne(x.length,m-w+1);for(let j=0;j=this.rows)throw new RangeError(`Row index out of range: ${x[j]}`);M.set(j,tt-w,this.get(x[j],tt))}return M}subMatrixColumn(x,w,m){if(w===void 0&&(w=0),m===void 0&&(m=this.rows-1),w>m||w<0||w>=this.rows||m<0||m>=this.rows)throw new RangeError("Argument out of range");let M=new ne(m-w+1,x.length);for(let j=0;j=this.columns)throw new RangeError(`Column index out of range: ${x[j]}`);M.set(tt-w,j,this.get(tt,x[j]))}return M}setSubMatrix(x,w,m){if(x=ne.checkMatrix(x),x.isEmpty())return this;let M=w+x.rows-1,j=m+x.columns-1;Ee(this,w,M,m,j);for(let tt=0;tttypeof x=="number")}re.random=re.rand,re.randomInt=re.randInt,re.diagonal=re.diag,re.prototype.diagonal=re.prototype.diag,re.identity=re.eye,re.prototype.negate=re.prototype.neg,re.prototype.tensorProduct=re.prototype.kroneckerProduct;const ca=class H0 extends re{constructor(x,w){if(super(),R(this,W),k(this,"data"),H0.isMatrix(x))D(this,W,X).call(this,x.rows,x.columns),H0.copy(x,this);else if(Number.isInteger(x)&&x>=0)D(this,W,X).call(this,x,w);else if(rt.isAnyArray(x)){const m=x;if(x=m.length,w=x?m[0].length:0,typeof w!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let M=0;M=0)for(let w=0;w=0)z(this,K,new ne(x,x));else if(z(this,K,new ne(x)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return C(this,K).size}get rows(){return C(this,K).rows}get columns(){return C(this,K).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(x){return ne.isMatrix(x)&&x.klassType==="SymmetricMatrix"}static zeros(x){return new this(x)}static ones(x){return new this(x).fill(1)}clone(){const x=new X0(this.diagonalSize);for(const[w,m,M]of this.upperRightEntries())x.set(w,m,M);return x}toMatrix(){return new ne(this)}get(x,w){return C(this,K).get(x,w)}set(x,w,m){return C(this,K).set(x,w,m),C(this,K).set(w,x,m),this}removeCross(x){return C(this,K).removeRow(x),C(this,K).removeColumn(x),this}addCross(x,w){w===void 0&&(w=x,x=this.diagonalSize);const m=w.slice();return m.splice(x,1),C(this,K).addRow(x,m),C(this,K).addColumn(x,w),this}applyMask(x){if(x.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const w=[];for(const[m,M]of x.entries())M||w.push(m);w.reverse();for(const m of w)this.removeCross(m);return this}toCompact(){const{diagonalSize:x}=this,w=new Array(x*(x+1)/2);for(let m=0,M=0,j=0;j=x&&(m=++M);return w}static fromCompact(x){const w=x.length,m=(Math.sqrt(8*w+1)-1)/2;if(!Number.isInteger(m))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(x)}`);const M=new X0(m);for(let j=0,tt=0,et=0;et=m&&(j=++tt);return M}*upperRightEntries(){for(let x=0,w=0;x=this.diagonalSize&&(w=++x)}}*upperRightValues(){for(let x=0,w=0;x=this.diagonalSize&&(w=++x)}};K=new WeakMap;let Rr=ss;Rr.prototype.klassType="SymmetricMatrix";class Yn extends Rr{static isDistanceMatrix(x){return Rr.isSymmetricMatrix(x)&&x.klassSubType==="DistanceMatrix"}constructor(x){if(super(x),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(x,w,m){return x===w&&(m=0),super.set(x,w,m)}addCross(x,w){return w===void 0&&(w=x,x=this.diagonalSize),w=w.slice(),w[x]=0,super.addCross(x,w)}toSymmetricMatrix(){return new Rr(this)}clone(){const x=new Yn(this.diagonalSize);for(const[w,m,M]of this.upperRightEntries())w!==m&&x.set(w,m,M);return x}toCompact(){const{diagonalSize:x}=this,w=(x-1)*x/2,m=new Array(w);for(let M=1,j=0,tt=0;tt=x&&(M=++j+1);return m}static fromCompact(x){const w=x.length;if(w===0)return new this(0);const m=(Math.sqrt(8*w+1)+1)/2;if(!Number.isInteger(m))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(x)}`);const M=new this(m);for(let j=1,tt=0,et=0;et=m&&(j=++tt+1);return M}}Yn.prototype.klassSubType="DistanceMatrix";class Lr extends re{constructor(x,w,m){super(),this.matrix=x,this.rows=w,this.columns=m}}class os extends Lr{constructor(x,w){Et(x,w),super(x,x.rows,1),this.column=w}set(x,w,m){return this.matrix.set(x,this.column,m),this}get(x){return this.matrix.get(x,this.column)}}class ua extends Lr{constructor(x,w){Qt(x,w),super(x,x.rows,w.length),this.columnIndices=w}set(x,w,m){return this.matrix.set(x,this.columnIndices[w],m),this}get(x,w){return this.matrix.get(x,this.columnIndices[w])}}class qs extends Lr{constructor(x){super(x,x.rows,x.columns)}set(x,w,m){return this.matrix.set(x,this.columns-w-1,m),this}get(x,w){return this.matrix.get(x,this.columns-w-1)}}class ha extends Lr{constructor(x){super(x,x.rows,x.columns)}set(x,w,m){return this.matrix.set(this.rows-x-1,w,m),this}get(x,w){return this.matrix.get(this.rows-x-1,w)}}class Fo extends Lr{constructor(x,w){gt(x,w),super(x,1,x.columns),this.row=w}set(x,w,m){return this.matrix.set(this.row,w,m),this}get(x,w){return this.matrix.get(this.row,w)}}class ls extends Lr{constructor(x,w){Ut(x,w),super(x,w.length,x.columns),this.rowIndices=w}set(x,w,m){return this.matrix.set(this.rowIndices[x],w,m),this}get(x,w){return this.matrix.get(this.rowIndices[x],w)}}class cs extends Lr{constructor(x,w,m){Ut(x,w),Qt(x,m),super(x,w.length,m.length),this.rowIndices=w,this.columnIndices=m}set(x,w,m){return this.matrix.set(this.rowIndices[x],this.columnIndices[w],m),this}get(x,w){return this.matrix.get(this.rowIndices[x],this.columnIndices[w])}}class us extends Lr{constructor(x,w,m,M,j){Ee(x,w,m,M,j),super(x,m-w+1,j-M+1),this.startRow=w,this.startColumn=M}set(x,w,m){return this.matrix.set(this.startRow+x,this.startColumn+w,m),this}get(x,w){return this.matrix.get(this.startRow+x,this.startColumn+w)}}class Ai extends Lr{constructor(x){super(x,x.columns,x.rows)}set(x,w,m){return this.matrix.set(w,x,m),this}get(x,w){return this.matrix.get(w,x)}}class Ti extends re{constructor(x,w={}){const{rows:m=1}=w;if(x.length%m!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=m,this.columns=x.length/m,this.data=x}set(x,w,m){let M=this._calculateIndex(x,w);return this.data[M]=m,this}get(x,w){let m=this._calculateIndex(x,w);return this.data[m]}_calculateIndex(x,w){return x*this.columns+w}}class An extends re{constructor(x){super(),this.data=x,this.rows=x.length,this.columns=x[0].length}set(x,w,m){return this.data[x][w]=m,this}get(x,w){return this.data[x][w]}}function hd(H,x){if(rt.isAnyArray(H))return H[0]&&rt.isAnyArray(H[0])?new An(H):new Ti(H,x);throw new Error("the argument is not an array")}class Ui{constructor(x){x=An.checkMatrix(x);let w=x.clone(),m=w.rows,M=w.columns,j=new Float64Array(m),tt=1,et,st,lt,Tt,vt,Ft,qt,Lt,Zt;for(et=0;etMath.abs(Lt[Tt])&&(Tt=et);if(Tt!==st){for(lt=0;lt=0;lt--){for(st=0;sttt?M.set(j,tt,x.get(j,tt)):j===tt?M.set(j,tt,1):M.set(j,tt,0);return M}get upperTriangularMatrix(){let x=this.LU,w=x.rows,m=x.columns,M=new ne(w,m);for(let j=0;jMath.abs(x)?(w=x/H,Math.abs(H)*Math.sqrt(1+w*w)):x!==0?(w=H/x,Math.abs(x)*Math.sqrt(1+w*w)):0}class zo{constructor(x){x=An.checkMatrix(x);let w=x.clone(),m=x.rows,M=x.columns,j=new Float64Array(M),tt,et,st,lt;for(st=0;st=0;lt--){for(st=0;st=0;et--){for(j=0;j=0;Mt--)if(Lt[Mt]!==0){for(let Yt=Mt+1;Yt=0;Mt--){if(Mt0;){let Mt,Yt;for(Mt=ge-2;Mt>=-1&&Mt!==-1;Mt--){const Jt=Number.MIN_VALUE+Ze*Math.abs(Lt[Mt]+Math.abs(Lt[Mt+1]));if(Math.abs(bt[Mt])<=Jt||Number.isNaN(bt[Mt])){bt[Mt]=0;break}}if(Mt===ge-2)Yt=4;else{let Jt;for(Jt=ge-1;Jt>=Mt&&Jt!==Mt;Jt--){let Ht=(Jt!==ge?Math.abs(bt[Jt]):0)+(Jt!==Mt+1?Math.abs(bt[Jt-1]):0);if(Math.abs(Lt[Jt])<=Ze*Ht){Lt[Jt]=0;break}}Jt===Mt?Yt=3:Jt===ge-1?Yt=1:(Yt=2,Mt=Jt)}switch(Mt++,Yt){case 1:{let Jt=bt[ge-2];bt[ge-2]=0;for(let Ht=ge-2;Ht>=Mt;Ht--){let fn=Oi(Lt[Ht],Jt),$e=Lt[Ht]/fn,hn=Jt/fn;if(Lt[Ht]=fn,Ht!==Mt&&(Jt=-hn*bt[Ht-1],bt[Ht-1]=$e*bt[Ht-1]),lt)for(let vn=0;vn=Lt[Mt+1]);){let Jt=Lt[Mt];if(Lt[Mt]=Lt[Mt+1],Lt[Mt+1]=Jt,lt&&Mtw&&j.set(Tt,vt,x.get(Tt,vt)/this.s[vt]);let tt=this.U,et=tt.rows,st=tt.columns,lt=new ne(m,et);for(let Tt=0;Ttx&&w++;return w}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return ne.diag(this.s)}}function K0(H,x=!1){return H=An.checkMatrix(H),x?new Oa(H).inverse():dd(H,ne.eye(H.rows))}function dd(H,x,w=!1){return H=An.checkMatrix(H),x=An.checkMatrix(x),w?new Oa(H).solve(x):H.isSquare()?new Ui(H).solve(x):new zo(H).solve(x)}function jo(H){if(H=ne.checkMatrix(H),H.isSquare()){if(H.columns===0)return 1;let x,w,m,M;if(H.columns===2)return x=H.get(0,0),w=H.get(0,1),m=H.get(1,0),M=H.get(1,1),x*M-w*m;if(H.columns===3){let j,tt,et;return j=new cs(H,[1,2],[1,2]),tt=new cs(H,[1,2],[0,2]),et=new cs(H,[1,2],[0,1]),x=H.get(0,0),w=H.get(0,1),m=H.get(0,2),x*jo(j)-w*jo(tt)+m*jo(et)}else return new Ui(H).determinant}else throw Error("determinant can only be calculated for a square matrix")}function Q0(H,x){let w=[];for(let m=0;mM)return new Array(x.rows+1).fill(0);{let j=x.addRow(w,[0]);for(let tt=0;ttx?j[tt]=1/j[tt]:j[tt]=0;return M.mmul(ne.diag(j).mmul(m.transpose()))}function tg(H,x=H,w={}){H=new ne(H);let m=!1;if(typeof x=="object"&&!ne.isMatrix(x)&&!rt.isAnyArray(x)?(w=x,x=H,m=!0):x=new ne(x),H.rows!==x.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:M=!0}=w;M&&(H=H.center("column"),m||(x=x.center("column")));const j=H.transpose().mmul(x);for(let tt=0;tt0?M.set(j,j+1,w[j]):w[j]<0&&M.set(j,j-1,w[j])}return M}}function eg(H,x,w,m){let M,j,tt,et,st,lt,Tt,vt;for(st=0;st0;et--){for(vt=0,tt=0,lt=0;lt0&&(j=-j),x[et]=vt*j,tt=tt-M*j,w[et-1]=M-j,st=0;stlt)do{for(M=w[lt],vt=(w[lt+1]-M)/(2*x[lt]),Ft=Oi(vt,1),vt<0&&(Ft=-Ft),w[lt]=x[lt]/(vt+Ft),w[lt+1]=x[lt]*(vt+Ft),qt=w[lt+1],j=M-w[lt],tt=lt+2;tt=lt;tt--)for(le=Zt,Zt=Lt,ue=Wt,M=Lt*x[tt],j=Lt*vt,Ft=Oi(vt,x[tt]),x[tt+1]=Wt*Ft,Wt=x[tt]/Ft,Lt=vt/Ft,vt=Lt*w[tt]-Wt*M,w[tt+1]=j+Wt*(Lt*M+Wt*w[tt]),st=0;stun*Ae);w[lt]=w[lt]+we,x[lt]=0}for(tt=0;tt=vt;lt--)w[lt]=x.get(lt,vt-1)/Ft,st+=w[lt]*w[lt];for(et=Math.sqrt(st),w[vt]>0&&(et=-et),st=st-w[vt]*et,w[vt]=w[vt]-et,Tt=vt;Tt=vt;lt--)tt+=w[lt]*x.get(lt,Tt);for(tt=tt/st,lt=vt;lt<=j;lt++)x.set(lt,Tt,x.get(lt,Tt)-tt*w[lt])}for(lt=0;lt<=j;lt++){for(tt=0,Tt=j;Tt>=vt;Tt--)tt+=w[Tt]*x.get(lt,Tt);for(tt=tt/st,Tt=vt;Tt<=j;Tt++)x.set(lt,Tt,x.get(lt,Tt)-tt*w[Tt])}w[vt]=Ft*w[vt],x.set(vt,vt-1,Ft*et)}}for(lt=0;lt=M+1;vt--)if(x.get(vt,vt-1)!==0){for(lt=vt+1;lt<=j;lt++)w[lt]=x.get(lt,vt-1);for(Tt=vt;Tt<=j;Tt++){for(et=0,lt=vt;lt<=j;lt++)et+=w[lt]*m.get(lt,Tt);for(et=et/w[vt]/x.get(vt,vt-1),lt=vt;lt<=j;lt++)m.set(lt,Tt,m.get(lt,Tt)+et*w[lt])}}}function pd(H,x,w,m,M){let j=H-1,tt=0,et=H-1,st=Number.EPSILON,lt=0,Tt=0,vt=0,Ft=0,qt=0,Lt=0,Zt=0,le=0,bt,Wt,ue,we,Ae,un,ge,be,Ze,Mt,Yt,Jt,Ht,fn,$e;for(bt=0;btet)&&(w[bt]=M.get(bt,bt),x[bt]=0),Wt=Math.max(bt-1,0);Wt=tt;){for(we=j;we>tt&&(Lt=Math.abs(M.get(we-1,we-1))+Math.abs(M.get(we,we)),Lt===0&&(Lt=Tt),!(Math.abs(M.get(we,we-1))=0){for(Zt=vt>=0?vt+Zt:vt-Zt,w[j-1]=be+Zt,w[j]=w[j-1],Zt!==0&&(w[j]=be-ge/Zt),x[j-1]=0,x[j]=0,be=M.get(j,j-1),Lt=Math.abs(be)+Math.abs(Zt),vt=be/Lt,Ft=Zt/Lt,qt=Math.sqrt(vt*vt+Ft*Ft),vt=vt/qt,Ft=Ft/qt,Wt=j-1;Wt0)){for(Lt=Math.sqrt(Lt),Ze=we&&(Zt=M.get(Ae,Ae),qt=be-Zt,Lt=Ze-Zt,vt=(qt*Lt-ge)/M.get(Ae+1,Ae)+M.get(Ae,Ae+1),Ft=M.get(Ae+1,Ae+1)-Zt-qt-Lt,qt=M.get(Ae+2,Ae+1),Lt=Math.abs(vt)+Math.abs(Ft)+Math.abs(qt),vt=vt/Lt,Ft=Ft/Lt,qt=qt/Lt,!(Ae===we||Math.abs(M.get(Ae,Ae-1))*(Math.abs(Ft)+Math.abs(qt))Ae+2&&M.set(bt,bt-3,0);for(ue=Ae;ue<=j-1&&(fn=ue!==j-1,ue!==Ae&&(vt=M.get(ue,ue-1),Ft=M.get(ue+1,ue-1),qt=fn?M.get(ue+2,ue-1):0,be=Math.abs(vt)+Math.abs(Ft)+Math.abs(qt),be!==0&&(vt=vt/be,Ft=Ft/be,qt=qt/be)),be!==0);ue++)if(Lt=Math.sqrt(vt*vt+Ft*Ft+qt*qt),vt<0&&(Lt=-Lt),Lt!==0){for(ue!==Ae?M.set(ue,ue-1,-Lt*be):we!==Ae&&M.set(ue,ue-1,-M.get(ue,ue-1)),vt=vt+Lt,be=vt/Lt,Ze=Ft/Lt,Zt=qt/Lt,Ft=Ft/vt,qt=qt/vt,Wt=ue;Wt=0;j--)if(vt=w[j],Ft=x[j],Ft===0)for(we=j,M.set(j,j,1),bt=j-1;bt>=0;bt--){for(ge=M.get(bt,bt)-vt,qt=0,Wt=we;Wt<=j;Wt++)qt=qt+M.get(bt,Wt)*M.get(Wt,j);if(x[bt]<0)Zt=ge,Lt=qt;else if(we=bt,x[bt]===0?M.set(bt,j,ge!==0?-qt/ge:-qt/(st*Tt)):(be=M.get(bt,bt+1),Ze=M.get(bt+1,bt),Ft=(w[bt]-vt)*(w[bt]-vt)+x[bt]*x[bt],un=(be*Lt-Zt*qt)/Ft,M.set(bt,j,un),M.set(bt+1,j,Math.abs(be)>Math.abs(Zt)?(-qt-ge*un)/be:(-Lt-Ze*un)/Zt)),un=Math.abs(M.get(bt,j)),st*un*un>1)for(Wt=bt;Wt<=j;Wt++)M.set(Wt,j,M.get(Wt,j)/un)}else if(Ft<0)for(we=j-1,Math.abs(M.get(j,j-1))>Math.abs(M.get(j-1,j))?(M.set(j-1,j-1,Ft/M.get(j,j-1)),M.set(j-1,j,-(M.get(j,j)-vt)/M.get(j,j-1))):($e=Zo(0,-M.get(j-1,j),M.get(j-1,j-1)-vt,Ft),M.set(j-1,j-1,$e[0]),M.set(j-1,j,$e[1])),M.set(j,j-1,0),M.set(j,j,1),bt=j-2;bt>=0;bt--){for(Mt=0,Yt=0,Wt=we;Wt<=j;Wt++)Mt=Mt+M.get(bt,Wt)*M.get(Wt,j-1),Yt=Yt+M.get(bt,Wt)*M.get(Wt,j);if(ge=M.get(bt,bt)-vt,x[bt]<0)Zt=ge,qt=Mt,Lt=Yt;else if(we=bt,x[bt]===0?($e=Zo(-Mt,-Yt,ge,Ft),M.set(bt,j-1,$e[0]),M.set(bt,j,$e[1])):(be=M.get(bt,bt+1),Ze=M.get(bt+1,bt),Jt=(w[bt]-vt)*(w[bt]-vt)+x[bt]*x[bt]-Ft*Ft,Ht=(w[bt]-vt)*2*Ft,Jt===0&&Ht===0&&(Jt=st*Tt*(Math.abs(ge)+Math.abs(Ft)+Math.abs(be)+Math.abs(Ze)+Math.abs(Zt))),$e=Zo(be*qt-Zt*Mt+Ft*Yt,be*Lt-Zt*Yt-Ft*Mt,Jt,Ht),M.set(bt,j-1,$e[0]),M.set(bt,j,$e[1]),Math.abs(be)>Math.abs(Zt)+Math.abs(Ft)?(M.set(bt+1,j-1,(-Mt-ge*M.get(bt,j-1)+Ft*M.get(bt,j))/be),M.set(bt+1,j,(-Yt-ge*M.get(bt,j)-Ft*M.get(bt,j-1))/be)):($e=Zo(-qt-Ze*M.get(bt,j-1),-Lt-Ze*M.get(bt,j),Zt,Ft),M.set(bt+1,j-1,$e[0]),M.set(bt+1,j,$e[1]))),un=Math.max(Math.abs(M.get(bt,j-1)),Math.abs(M.get(bt,j))),st*un*un>1)for(Wt=bt;Wt<=j;Wt++)M.set(Wt,j-1,M.get(Wt,j-1)/un),M.set(Wt,j,M.get(Wt,j)/un)}for(bt=0;btet)for(Wt=bt;Wt=tt;Wt--)for(bt=tt;bt<=et;bt++){for(Zt=0,ue=tt;ue<=Math.min(Wt,et);ue++)Zt=Zt+m.get(bt,ue)*M.get(ue,Wt);m.set(bt,Wt,Zt)}}}function Zo(H,x,w,m){let M,j;return Math.abs(w)>Math.abs(m)?(M=m/w,j=w+M*m,[(H+M*x)/j,(x-M*H)/j]):(M=w/m,j=m+M*w,[(M*H+x)/j,(M*x-H)/j])}class md{constructor(x){if(x=An.checkMatrix(x),!x.isSymmetric())throw new Error("Matrix is not symmetric");let w=x,m=w.rows,M=new ne(m,m),j=!0,tt,et,st;for(et=0;et0),M.set(et,et,Math.sqrt(Math.max(lt,0))),st=et+1;st=0;st--)for(et=0;ettt;qt++)vt=x.transpose().mmul(et).div(et.transpose().mmul(et).get(0,0)),vt=vt.div(vt.norm()),lt=x.mmul(vt).div(vt.transpose().mmul(vt).get(0,0)),qt>0&&(st=lt.clone().sub(Ft).pow(2).sum()),Ft=lt.clone(),m?(Tt=m.transpose().mmul(lt).div(lt.transpose().mmul(lt).get(0,0)),Tt=Tt.div(Tt.norm()),et=m.mmul(Tt).div(Tt.transpose().mmul(Tt).get(0,0))):et=lt;if(m){let qt=x.transpose().mmul(lt).div(lt.transpose().mmul(lt).get(0,0));qt=qt.div(qt.norm());let Lt=x.clone().sub(lt.clone().mmul(qt.transpose())),Zt=et.transpose().mmul(lt).div(lt.transpose().mmul(lt).get(0,0)),le=m.clone().sub(lt.clone().mulS(Zt.get(0,0)).mmul(Tt.transpose()));this.t=lt,this.p=qt.transpose(),this.w=vt.transpose(),this.q=Tt,this.u=et,this.s=lt.transpose().mmul(lt),this.xResidual=Lt,this.yResidual=le,this.betas=Zt}else this.w=vt.transpose(),this.s=lt.transpose().mmul(lt).sqrt(),M?this.t=lt.clone().div(this.s.get(0,0)):this.t=lt,this.xResidual=x.sub(lt.mmul(vt.transpose()))}}Q.XA=re,Q.a_=md,Q.yQ=md,Q.Hs=Yn,Q.Ec=vd,Q.dx=vd,Q.LU=Ui,Q.Rm=Ui,Q.y3=ne,Q.qK=ua,Q.pb=os,Q.j=qs,Q.sO=ha,Q.BZ=ls,Q.EK=Fo,Q.Db=cs,Q.Fx=us,Q.tU=Ai,Q.Ym=Xl,Q.rs=Xl,Q.QR=zo,Q.TB=zo,Q.oH=Oa,Q.Sc=Oa,Q.BN=Rr,Q.it=Ti,Q.$r=An,Q.QM=fd,Q.AV=tg,A=ne,Q.GH=jo,Q.SO=K0,Q.uZ=J0,Q.yU=$0,Q.F1=dd,Q.re=hd},45411:function(U){"use strict";U.exports={aliceblue:[240,248,255],antiquewhite:[250,235,215],aqua:[0,255,255],aquamarine:[127,255,212],azure:[240,255,255],beige:[245,245,220],bisque:[255,228,196],black:[0,0,0],blanchedalmond:[255,235,205],blue:[0,0,255],blueviolet:[138,43,226],brown:[165,42,42],burlywood:[222,184,135],cadetblue:[95,158,160],chartreuse:[127,255,0],chocolate:[210,105,30],coral:[255,127,80],cornflowerblue:[100,149,237],cornsilk:[255,248,220],crimson:[220,20,60],cyan:[0,255,255],darkblue:[0,0,139],darkcyan:[0,139,139],darkgoldenrod:[184,134,11],darkgray:[169,169,169],darkgreen:[0,100,0],darkgrey:[169,169,169],darkkhaki:[189,183,107],darkmagenta:[139,0,139],darkolivegreen:[85,107,47],darkorange:[255,140,0],darkorchid:[153,50,204],darkred:[139,0,0],darksalmon:[233,150,122],darkseagreen:[143,188,143],darkslateblue:[72,61,139],darkslategray:[47,79,79],darkslategrey:[47,79,79],darkturquoise:[0,206,209],darkviolet:[148,0,211],deeppink:[255,20,147],deepskyblue:[0,191,255],dimgray:[105,105,105],dimgrey:[105,105,105],dodgerblue:[30,144,255],firebrick:[178,34,34],floralwhite:[255,250,240],forestgreen:[34,139,34],fuchsia:[255,0,255],gainsboro:[220,220,220],ghostwhite:[248,248,255],gold:[255,215,0],goldenrod:[218,165,32],gray:[128,128,128],green:[0,128,0],greenyellow:[173,255,47],grey:[128,128,128],honeydew:[240,255,240],hotpink:[255,105,180],indianred:[205,92,92],indigo:[75,0,130],ivory:[255,255,240],khaki:[240,230,140],lavender:[230,230,250],lavenderblush:[255,240,245],lawngreen:[124,252,0],lemonchiffon:[255,250,205],lightblue:[173,216,230],lightcoral:[240,128,128],lightcyan:[224,255,255],lightgoldenrodyellow:[250,250,210],lightgray:[211,211,211],lightgreen:[144,238,144],lightgrey:[211,211,211],lightpink:[255,182,193],lightsalmon:[255,160,122],lightseagreen:[32,178,170],lightskyblue:[135,206,250],lightslategray:[119,136,153],lightslategrey:[119,136,153],lightsteelblue:[176,196,222],lightyellow:[255,255,224],lime:[0,255,0],limegreen:[50,205,50],linen:[250,240,230],magenta:[255,0,255],maroon:[128,0,0],mediumaquamarine:[102,205,170],mediumblue:[0,0,205],mediumorchid:[186,85,211],mediumpurple:[147,112,219],mediumseagreen:[60,179,113],mediumslateblue:[123,104,238],mediumspringgreen:[0,250,154],mediumturquoise:[72,209,204],mediumvioletred:[199,21,133],midnightblue:[25,25,112],mintcream:[245,255,250],mistyrose:[255,228,225],moccasin:[255,228,181],navajowhite:[255,222,173],navy:[0,0,128],oldlace:[253,245,230],olive:[128,128,0],olivedrab:[107,142,35],orange:[255,165,0],orangered:[255,69,0],orchid:[218,112,214],palegoldenrod:[238,232,170],palegreen:[152,251,152],paleturquoise:[175,238,238],palevioletred:[219,112,147],papayawhip:[255,239,213],peachpuff:[255,218,185],peru:[205,133,63],pink:[255,192,203],plum:[221,160,221],powderblue:[176,224,230],purple:[128,0,128],rebeccapurple:[102,51,153],red:[255,0,0],rosybrown:[188,143,143],royalblue:[65,105,225],saddlebrown:[139,69,19],salmon:[250,128,114],sandybrown:[244,164,96],seagreen:[46,139,87],seashell:[255,245,238],sienna:[160,82,45],silver:[192,192,192],skyblue:[135,206,235],slateblue:[106,90,205],slategray:[112,128,144],slategrey:[112,128,144],snow:[255,250,250],springgreen:[0,255,127],steelblue:[70,130,180],tan:[210,180,140],teal:[0,128,128],thistle:[216,191,216],tomato:[255,99,71],turquoise:[64,224,208],violet:[238,130,238],wheat:[245,222,179],white:[255,255,255],whitesmoke:[245,245,245],yellow:[255,255,0],yellowgreen:[154,205,50]}},75196:function(U,Q,S){var 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e=r[0],n=r[1],i=r[2],a=t[0],s=t[1],o=t[2];return Math.abs(e-a)<=W*Math.max(1,Math.abs(e),Math.abs(a))&&Math.abs(n-s)<=W*Math.max(1,Math.abs(n),Math.abs(s))&&Math.abs(i-o)<=W*Math.max(1,Math.abs(i),Math.abs(o))}var qs=Qt,da=null,Fo=null,ls=It,cs=null,us=gt,Ti=null,Oi=function(){var r=pt();return function(t,e,n,i,a,s){var o,l;for(e||(e=3),n||(n=0),i?l=Math.min(i*e+n,t.length):l=t.length,o=n;o0&&(s=1/Math.sqrt(s)),r[0]=e*s,r[1]=n*s,r[2]=i*s,r[3]=a*s,r}function H(r,t){return r[0]*t[0]+r[1]*t[1]+r[2]*t[2]+r[3]*t[3]}function x(r,t,e,n){var i=e[0]*n[1]-e[1]*n[0],a=e[0]*n[2]-e[2]*n[0],s=e[0]*n[3]-e[3]*n[0],o=e[1]*n[2]-e[2]*n[1],l=e[1]*n[3]-e[3]*n[1],c=e[2]*n[3]-e[3]*n[2],u=t[0],h=t[1],d=t[2],f=t[3];return r[0]=h*c-d*l+f*o,r[1]=-(u*c)+d*s-f*a,r[2]=u*l-h*s+f*i,r[3]=-(u*o)+h*a-d*i,r}function w(r,t,e,n){var i=t[0],a=t[1],s=t[2],o=t[3];return 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 j(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 tt(r){return r[0]=0,r[1]=0,r[2]=0,r[3]=0,r}function et(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 lt(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 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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 bd(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,E=o*f,O=l*v,P=c*g,R=u*f,F=h*v,I=d*g,V=p+O+I,Y=0;return 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r[0]=J,r[1]=$,r[2]=ot,r[3]=0,r[4]=ct,r[5]=ft,r[6]=Nt,r[7]=0,r[8]=Ot,r[9]=mt,r[10]=yt,r[11]=0,r[12]=e[0]+I-(J*I+ct*V+Ot*Y),r[13]=e[1]+V-($*I+ft*V+mt*Y),r[14]=e[2]+Y-(ot*I+Nt*V+yt*Y),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 Ed(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 wd=Kl;function uw(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 hw(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 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]=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 ag=ig;function sg(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 og(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],E=n[2],O=e[0],P=e[1],R=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 fw(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 vw(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 gw(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 lg(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 pw(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 mw(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 Sd(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 yw(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],E=t[1],O=t[2],P=t[3],R=t[4],F=t[5],I=t[6],V=t[7],Y=t[8],J=t[9],$=t[10],ot=t[11],ct=t[12],ft=t[13],Nt=t[14],Ot=t[15];return Math.abs(e-b)<=W*Math.max(1,Math.abs(e),Math.abs(b))&&Math.abs(n-E)<=W*Math.max(1,Math.abs(n),Math.abs(E))&&Math.abs(i-O)<=W*Math.max(1,Math.abs(i),Math.abs(O))&&Math.abs(a-P)<=W*Math.max(1,Math.abs(a),Math.abs(P))&&Math.abs(s-R)<=W*Math.max(1,Math.abs(s),Math.abs(R))&&Math.abs(o-F)<=W*Math.max(1,Math.abs(o),Math.abs(F))&&Math.abs(l-I)<=W*Math.max(1,Math.abs(l),Math.abs(I))&&Math.abs(c-V)<=W*Math.max(1,Math.abs(c),Math.abs(V))&&Math.abs(u-Y)<=W*Math.max(1,Math.abs(u),Math.abs(Y))&&Math.abs(h-J)<=W*Math.max(1,Math.abs(h),Math.abs(J))&&Math.abs(d-$)<=W*Math.max(1,Math.abs(d),Math.abs($))&&Math.abs(f-ot)<=W*Math.max(1,Math.abs(f),Math.abs(ot))&&Math.abs(v-ct)<=W*Math.max(1,Math.abs(v),Math.abs(ct))&&Math.abs(g-ft)<=W*Math.max(1,Math.abs(g),Math.abs(ft))&&Math.abs(p-Nt)<=W*Math.max(1,Math.abs(p),Math.abs(Nt))&&Math.abs(y-Ot)<=W*Math.max(1,Math.abs(y),Math.abs(Ot))}var cg=Jt,bw=lg;function ug(){var r=new X(9);return X!=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 xw(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 qB(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 JB(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 Ew(r,t,e,n,i,a,s,o,l){var c=new X(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 $B(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 tF(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 eF(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 nF(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 rF(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 iF(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 aF(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],E=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+E*s+O*c,r[7]=b*i+E*o+O*u,r[8]=b*a+E*l+O*h,r}function sF(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 oF(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 lF(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 cF(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 uF(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 hF(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 dF(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 fF(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 vF(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,E=e*l-i*s,O=e*c-a*s,P=n*l-i*o,R=n*c-a*o,F=i*c-a*l,I=u*g-h*v,V=u*p-d*v,Y=u*y-f*v,J=h*p-d*g,$=h*y-f*g,ot=d*y-f*p,ct=b*ot-E*$+O*J+P*Y-R*V+F*I;return ct?(ct=1/ct,r[0]=(o*ot-l*$+c*J)*ct,r[1]=(l*Y-s*ot-c*V)*ct,r[2]=(s*$-o*Y+c*I)*ct,r[3]=(i*$-n*ot-a*J)*ct,r[4]=(e*ot-i*Y+a*V)*ct,r[5]=(n*Y-e*$-a*I)*ct,r[6]=(g*F-p*R+y*P)*ct,r[7]=(p*O-v*F-y*E)*ct,r[8]=(v*R-g*O+y*b)*ct,r):null}function gF(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 pF(r){return"mat3("+r[0]+", "+r[1]+", "+r[2]+", "+r[3]+", "+r[4]+", "+r[5]+", "+r[6]+", "+r[7]+", "+r[8]+")"}function mF(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 yF(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 bF(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 xF(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 EF(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 wF(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 SF(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],E=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-E)<=glMatrix.EPSILON*Math.max(1,Math.abs(u),Math.abs(E))}var MF=null,AF=null;function Kn(){var r=new X(4);return X!=Float32Array&&(r[0]=0,r[1]=0,r[2]=0),r[3]=1,r}function TF(r){return r[0]=0,r[1]=0,r[2]=0,r[3]=1,r}function ka(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 OF(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 CF(r,t){var e=Ow(r,t);return Math.acos(2*e*e-1)}function Pa(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 NF(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 kF(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 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+i*o,r[1]=i*l-n*o,r[2]=a*l+s*o,r[3]=s*l-a*o,r}function RF(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 ww(r,t){var 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this.projectionMode===gi.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===gi.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===gi.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===gi.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===gi.ORTHOGRAPHIC?this.setOrthographic(this.left,this.rright,this.top,this.bottom,this.near,this.far):this.projectionMode===gi.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=ye(h,this.right)/gt(this.right),f=ye(h,this.up)/gt(this.up),v=this.getPosition(),g=(0,L.Z)(v,2),p=g[0],y=g[1],b=this.getFocalPoint(),E=(0,L.Z)(b,2),O=E[0],P=E[1];return this.setPosition(p-d,y-f),this.setFocalPoint(O-d,P-f),this}},{key:"setPerspective",value:function(e,n,i,a){var s;this.projectionMode=gi.PERSPECTIVE,this.fov=i,this.near=e,this.far=n,this.aspect=a;var o=this.near*Math.tan(an(.5*this.fov))/this.zoom,l=2*o,c=this.aspect*l,u=-.5*c;if((s=this.view)!==null&&s!==void 0&&s.enabled){var h=this.view.fullWidth,d=this.view.fullHeight;u+=this.view.offsetX*c/h,o-=this.view.offsetY*l/d,c*=this.view.width/h,l*=this.view.height/d}return $2(this.projectionMatrix,u,u+c,o-l,o,e,this.far,this.clipSpaceNearZ===sc.ZERO),Ze(this.projectionMatrixInverse,this.projectionMatrix),this.triggerUpdate(),this}},{key:"setOrthographic",value:function(e,n,i,a,s,o){var l;this.projectionMode=gi.ORTHOGRAPHIC,this.rright=n,this.left=e,this.top=i,this.bottom=a,this.near=s,this.far=o;var c=(this.rright-this.left)/(2*this.zoom),u=(this.top-this.bottom)/(2*this.zoom),h=(this.rright+this.left)/2,d=(this.top+this.bottom)/2,f=h-c,v=h+c,g=d+u,p=d-u;if((l=this.view)!==null&&l!==void 0&&l.enabled){var y=(this.rright-this.left)/this.view.fullWidth/this.zoom,b=(this.top-this.bottom)/this.view.fullHeight/this.zoom;f+=y*this.view.offsetX,v=f+y*this.view.width,g-=b*this.view.offsetY,p=g-b*this.view.height}return this.clipSpaceNearZ===sc.NEGATIVE_ONE?ag(this.projectionMatrix,f,v,g,p,s,o):sg(this.projectionMatrix,f,v,g,p,s,o),Ze(this.projectionMatrixInverse,this.projectionMatrix),this._getOrthoMatrix(),this.triggerUpdate(),this}},{key:"setPosition",value:function(e){var n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:this.position[1],i=arguments.length>2&&arguments[2]!==void 0?arguments[2]:this.position[2],a=Dr(e,n,i);return this._setPosition(a),this.setFocalPoint(this.focalPoint),this.triggerUpdate(),this}},{key:"setFocalPoint",value:function(e){var n=arguments.length>1&&arguments[1]!==void 0?arguments[1]:this.focalPoint[1],i=arguments.length>2&&arguments[2]!==void 0?arguments[2]:this.focalPoint[2],a=Et(0,1,0);if(this.focalPoint=Dr(e,n,i),this.trackingMode===Fd.CINEMATIC){var s=Qt(pt(),this.focalPoint,this.position);e=s[0],n=s[1],i=s[2];var o=gt(s),l=Gr(Math.asin(n/o)),c=90+Gr(Math.atan2(i,e)),u=Wt();vn(u,u,an(c)),hn(u,u,an(l)),a=re(pt(),[0,1,0],u)}return Ze(this.matrix,og(Wt(),this.position,this.focalPoint,a)),this._getAxes(),this._getDistance(),this._getAngles(),this.triggerUpdate(),this}},{key:"getDistance",value:function(){return this.distance}},{key:"getDistanceVector",value:function(){return this.distanceVector}},{key:"setDistance",value:function(e){if(this.distance===e||e<0)return this;this.distance=e,this.distance>8&15|t>>4&240,t>>4&15|t&240,(t&15)<<4|t&15,1):e===8?hc(t>>24&255,t>>16&255,t>>8&255,(t&255)/255):e===4?hc(t>>12&15|t>>8&240,t>>8&15|t>>4&240,t>>4&15|t&240,((t&15)<<4|t&15)/255):null):(t=lS.exec(r))?new Vr(t[1],t[2],t[3],1):(t=cS.exec(r))?new 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Vt.sceneGraphService.querySelector(n,this)}},{key:"querySelectorAll",value:function(n){return Vt.sceneGraphService.querySelectorAll(n,this)}},{key:"closest",value:function(n){var i=this;do{if(Vt.sceneGraphService.matches(n,i))return i;i=i.parentElement}while(i!==null);return null}},{key:"find",value:function(n){var i=this,a=null;return this.forEach(function(s){return s!==i&&n(s)?(a=s,!1):!0}),a}},{key:"findAll",value:function(n){var i=this,a=[];return this.forEach(function(s){s!==i&&n(s)&&a.push(s)}),a}},{key:"after",value:function(){var n=this;if(this.parentNode){for(var i=this.parentNode.childNodes.indexOf(this),a=arguments.length,s=new Array(a),o=0;o0&&arguments[0]!==void 0?arguments[0]:{},i={forceUpdateGeometry:!0};Vt.styleValueRegistry.processProperties(this,n,i),this.dirty()}},{key:"setAttribute",value:function(n,i){var a=arguments.length>2&&arguments[2]!==void 0?arguments[2]:!1,s=arguments.length>3&&arguments[3]!==void 0?arguments[3]:!0;Te(i)||(a||i!==this.attributes[n])&&(this.internalSetAttribute(n,i,{memoize:s}),Cg(t,"setAttribute",this,3)([n,i]))}},{key:"internalSetAttribute",value:function(n,i){var a=arguments.length>2&&arguments[2]!==void 0?arguments[2]:{},s=this.attributes[n],o=this.parsedStyle[n];Vt.styleValueRegistry.processProperties(this,(0,se.Z)({},n,i),a),this.dirty();var l=this.parsedStyle[n];if(this.isConnected)if(qi.relatedNode=this,qi.prevValue=s,qi.newValue=i,qi.attrName=n,qi.prevParsedValue=o,qi.newParsedValue=l,this.isMutationObserved)this.dispatchEvent(qi);else{var c,u=((c=this.ownerDocument.defaultView.getConfig().future)===null||c===void 0?void 0:c.experimentalCancelEventPropagation)===!0;qi.target=this,this.ownerDocument.defaultView.dispatchEvent(qi,!0,u)}if(this.isCustomElement&&this.isConnected||!this.isCustomElement){var h,d;(h=(d=this).attributeChangedCallback)===null||h===void 0||h.call(d,n,s,i,o,l)}}},{key:"getBBox",value:function(){var n=this.getBounds(),i=n.getMin(),a=(0,L.Z)(i,2),s=a[0],o=a[1],l=n.getMax(),c=(0,L.Z)(l,2),u=c[0],h=c[1];return new no(s,o,u-s,h-o)}},{key:"setOrigin",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 Vt.sceneGraphService.setOrigin(this,Dr(n,i,a,!1)),this}},{key:"getOrigin",value:function(){return Vt.sceneGraphService.getOrigin(this)}},{key:"setPosition",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 Vt.sceneGraphService.setPosition(this,Dr(n,i,a,!1)),this}},{key:"setLocalPosition",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 Vt.sceneGraphService.setLocalPosition(this,Dr(n,i,a,!1)),this}},{key:"translate",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 Vt.sceneGraphService.translate(this,Dr(n,i,a,!1)),this}},{key:"translateLocal",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 Vt.sceneGraphService.translateLocal(this,Dr(n,i,a,!1)),this}},{key:"getPosition",value:function(){return Vt.sceneGraphService.getPosition(this)}},{key:"getLocalPosition",value:function(){return Vt.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=Dr(n,i,a,!1)),Vt.sceneGraphService.scaleLocal(this,n),this}},{key:"setLocalScale",value:function(n,i,a){return typeof n=="number"&&(i=i||n,a=a||n,n=Dr(n,i,a,!1)),Vt.sceneGraphService.setLocalScale(this,n),this}},{key:"getLocalScale",value:function(){return Vt.sceneGraphService.getLocalScale(this)}},{key:"getScale",value:function(){return Vt.sceneGraphService.getScale(this)}},{key:"getEulerAngles",value:function(){var n=Id(il,Vt.sceneGraphService.getWorldTransform(this)),i=(0,L.Z)(n,3),a=i[2];return Gr(a)}},{key:"getLocalEulerAngles",value:function(){var n=Id(il,Vt.sceneGraphService.getLocalRotation(this)),i=(0,L.Z)(n,3),a=i[2];return Gr(a)}},{key:"setEulerAngles",value:function(n){return Vt.sceneGraphService.setEulerAngles(this,0,0,n),this}},{key:"setLocalEulerAngles",value:function(n){return Vt.sceneGraphService.setLocalEulerAngles(this,0,0,n),this}},{key:"rotateLocal",value:function(n,i,a){return me(i)&&me(a)?Vt.sceneGraphService.rotateLocal(this,0,0,n):Vt.sceneGraphService.rotateLocal(this,n,i,a),this}},{key:"rotate",value:function(n,i,a){return me(i)&&me(a)?Vt.sceneGraphService.rotate(this,0,0,n):Vt.sceneGraphService.rotate(this,n,i,a),this}},{key:"setRotation",value:function(n,i,a,s){return Vt.sceneGraphService.setRotation(this,n,i,a,s),this}},{key:"setLocalRotation",value:function(n,i,a,s){return Vt.sceneGraphService.setLocalRotation(this,n,i,a,s),this}},{key:"setLocalSkew",value:function(n,i){return Vt.sceneGraphService.setLocalSkew(this,n,i),this}},{key:"getRotation",value:function(){return Vt.sceneGraphService.getRotation(this)}},{key:"getLocalRotation",value:function(){return Vt.sceneGraphService.getLocalRotation(this)}},{key:"getLocalSkew",value:function(){return Vt.sceneGraphService.getLocalSkew(this)}},{key:"getLocalTransform",value:function(){return Vt.sceneGraphService.getLocalTransform(this)}},{key:"getWorldTransform",value:function(){return Vt.sceneGraphService.getWorldTransform(this)}},{key:"setLocalTransform",value:function(n){return Vt.sceneGraphService.setLocalTransform(this,n),this}},{key:"resetLocalTransform",value:function(){Vt.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}}])}(iT);yn.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,_.Z)(this,t,[(0,B.Z)({type:Dt.CIRCLE},e)])}return(0,C.Z)(t,r),(0,T.Z)(t)}(yn);Ji.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(yn.PARSED_STYLE_LIST),["cx","cy","cz","r","isBillboard","isSizeAttenuation"]));var oT=["style"],ff=function(r){function t(){var e,n=arguments.length>0&&arguments[0]!==void 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o&&Ve(o)&&(e.markerStartAngle=o.getLocalEulerAngles(),e.appendChild(o)),l&&Ve(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==="x1"||n==="y1"||n==="x2"||n==="y2"||n==="markerStartOffset"||n==="markerEndOffset"?(this.transformMarker(!0),this.transformMarker(!1)):n==="markerStart"?(s&&Ve(s)&&(this.markerStartAngle=0,s.remove()),o&&Ve(o)&&(this.markerStartAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!0))):n==="markerEnd"&&(s&&Ve(s)&&(this.markerEndAngle=0,s.remove()),o&&Ve(o)&&(this.markerEndAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!1)))}},{key:"transformMarker",value:function(n){var i=this.parsedStyle,a=i.markerStart,s=i.markerEnd,o=i.markerStartOffset,l=i.markerEndOffset,c=i.x1,u=i.x2,h=i.y1,d=i.y2,f=n?a:s;if(!(!f||!Ve(f))){var 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hT=["style"],ni=function(r){function t(){var e,n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},i=n.style,a=(0,vs.Z)(n,hT);(0,N.Z)(this,t),e=(0,_.Z)(this,t,[(0,B.Z)({type:Dt.PATH,style:i,initialParsedStyle:{miterLimit:4,d:(0,B.Z)({},$g)}},a)]),e.markerStartAngle=0,e.markerEndAngle=0,e.markerMidList=[];var s=e.parsedStyle,o=s.markerStart,l=s.markerEnd,c=s.markerMid;return o&&Ve(o)&&(e.markerStartAngle=o.getLocalEulerAngles(),e.appendChild(o)),c&&Ve(c)&&e.placeMarkerMid(c),l&&Ve(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&&Ve(s)&&(this.markerStartAngle=0,s.remove()),o&&Ve(o)&&(this.markerStartAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!0))):n==="markerEnd"?(s&&Ve(s)&&(this.markerEndAngle=0,s.remove()),o&&Ve(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||!Ve(c))){var u=0,h,d,f,v,g,p;if(n){var y=this.getStartTangent(),b=(0,L.Z)(y,2),E=b[0],O=b[1];f=O[0],v=O[1],h=E[0]-O[0],d=E[1]-O[1],g=o||0,p=this.markerStartAngle}else{var P=this.getEndTangent(),R=(0,L.Z)(P,2),F=R[0],I=R[1];f=I[0],v=I[1],h=F[0]-I[0],d=F[1]-I[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&&Ve(n))for(var a=1;a1&&arguments[1]!==void 0?arguments[1]:!1,a=this.parsedStyle.d.absolutePath,s=g2(a,n),o=s.x,l=s.y,c=re(pt(),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*Kd(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}}])}(yn);ni.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(yn.PARSED_STYLE_LIST),["d","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isBillboard","isSizeAttenuation"]));var dT=["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,dT);(0,N.Z)(this,t),e=(0,_.Z)(this,t,[(0,B.Z)({type:Dt.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&&Ve(o)&&(e.markerStartAngle=o.getLocalEulerAngles(),e.appendChild(o)),c&&Ve(c)&&e.placeMarkerMid(c),l&&Ve(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&&Ve(s)&&(this.markerStartAngle=0,s.remove()),o&&Ve(o)&&(this.markerStartAngle=o.getLocalEulerAngles(),this.appendChild(o),this.transformMarker(!0))):n==="markerEnd"?(s&&Ve(s)&&(this.markerEndAngle=0,s.remove()),o&&Ve(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||!Ve(d)||!h)){var f=0,v,g,p,y,b,E;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,E=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,E=this.markerEndAngle}f=Math.atan2(g,v),d.setLocalEulerAngles(f*180/Math.PI+E),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&&Ve(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)}}}])}(yn);Ts.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(yn.PARSED_STYLE_LIST),["points","markerStart","markerMid","markerEnd","markerStartOffset","markerEndOffset","isClosed","isBillboard","isSizeAttenuation"]));var fT=["style"],Oc=function(r){function t(){var e=arguments.length>0&&arguments[0]!==void 0?arguments[0]:{},n=e.style,i=(0,vs.Z)(e,fT);return(0,N.Z)(this,t),(0,_.Z)(this,t,[(0,B.Z)({type:Dt.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 eM(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=_g(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(pt(),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);Oc.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,_.Z)(this,t,[(0,B.Z)({type:Dt.RECT},e)])}return(0,C.Z)(t,r),(0,T.Z)(t)}(yn);pr.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(yn.PARSED_STYLE_LIST),["x","y","z","width","height","isBillboard","isSizeAttenuation","radius"]));var vT=["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,vT);return(0,N.Z)(this,t),(0,_.Z)(this,t,[(0,B.Z)({type:Dt.TEXT,style:(0,B.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}}])}(yn);Os.PARSED_STYLE_LIST=new Set([].concat((0,k.Z)(yn.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","textPathSide","textPathStartOffset","metrics","dx","dy"]));var gT=function(){function r(){(0,N.Z)(this,r),this.registry={},this.define(Dt.CIRCLE,Ji),this.define(Dt.ELLIPSE,al),this.define(Dt.RECT,pr),this.define(Dt.IMAGE,sl),this.define(Dt.LINE,As),this.define(Dt.GROUP,rr),this.define(Dt.PATH,ni),this.define(Dt.POLYGON,Ts),this.define(Dt.POLYLINE,Oc),this.define(Dt.TEXT,Os),this.define(Dt.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]}}])}(),a9={number:function(t){return new on(t)},percent:function(t){return new on(t,"%")},px:function(t){return new on(t,"px")},em:function(t){return new on(t,"em")},rem:function(t){return new on(t,"rem")},deg:function(t){return new on(t,"deg")},grad:function(t){return new on(t,"grad")},rad:function(t){return new on(t,"rad")},turn:function(t){return new on(t,"turn")},s:function(t){return new on(t,"s")},ms:function(t){return new on(t,"ms")},registerProperty:function(t){var e=t.name,n=t.inherits,i=t.interpolable,a=t.initialValue,s=t.syntax;Vt.styleValueRegistry.registerMetadata({n:e,inh:n,int:i,d:a,syntax:s})},registerLayout:function(t,e){Vt.layoutRegistry.registerLayout(t,e)}},rm=function(r){function t(){var e;(0,N.Z)(this,t),e=(0,_.Z)(this,t),e.defaultView=null,e.ownerDocument=null,e.nodeName="document";try{e.timeline=new Vt.AnimationTimeline(e)}catch(i){}var n={};return tf.forEach(function(i){var a=i.n,s=i.inh,o=i.d;s&&o&&(n[a]=fe(o)?o(Dt.GROUP):o)}),e.documentElement=new rr({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:rr);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(rn)}},{key:"destroy",value:function(){try{this.documentElement.destroyChildren(),this.timeline.destroy()}catch(n){}}},{key:"elementsFromBBox",value:function(n,i,a,s){var o=this.defaultView.context.rBushRoot,l=o.search({minX:n,minY:i,maxX:a,maxY:s}),c=[];return l.forEach(function(u){var h=u.displayObject,d=h.parsedStyle.pointerEvents,f=d===void 0?"auto":d,v=["auto","visiblepainted","visiblefill","visiblestroke","visible"].includes(f);(!v||v&&h.isVisible())&&!h.isCulled()&&h.isInteractive()&&c.push(h)}),c.sort(function(u,h){return h.sortable.renderOrder-u.sortable.renderOrder}),c}},{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,La.Z)((0,Tr.Z)().mark(function i(a,s){var o,l,c,u,h,d,f,v,g,p,y;return(0,Tr.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,La.Z)((0,Tr.Z)().mark(function i(a,s){var o,l,c,u,h,d,f,v,g,p,y;return(0,Tr.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),im=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 Qn(De.CULLED),h,h),null}return l}),a.hooks.afterRender.tap(r.tag,function(l){l.cullable.visibilityPlaneMask=-1})}}])}();im.tag="Culling";var am=function(){function r(){var t=this;(0,N.Z)(this,r),this.autoPreventDefault=!1,this.rootPointerEvent=new wc(null),this.rootWheelEvent=new cf(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,fs.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,fs.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,fs.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,fs.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,fs.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=JM[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=af.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;l1&&arguments[1]!==void 0?arguments[1]:!1;if(e.isConnected){var i=e.rBushNode;i.aabb&&this.rBush.remove(i.aabb);var a=e.getRenderBounds();if(a){var s=e.renderable;n&&(s.dirtyRenderBounds||(s.dirtyRenderBounds=new pn),s.dirtyRenderBounds.update(a.center,a.halfExtents));var o=a.getMin(),l=(0,L.Z)(o,2),c=l[0],u=l[1],h=a.getMax(),d=(0,L.Z)(h,2),f=d[0],v=d[1];i.aabb||(i.aabb={}),i.aabb.displayObject=e,i.aabb.minX=c,i.aabb.minY=u,i.aabb.maxX=f,i.aabb.maxY=v}if(i.aabb&&!isNaN(i.aabb.maxX)&&!isNaN(i.aabb.maxX)&&!isNaN(i.aabb.minX)&&!isNaN(i.aabb.minY))return i.aabb}}},{key:"syncRTree",value:function(){var e=this,n=arguments.length>0&&arguments[0]!==void 0?arguments[0]:!1;if(!(!n&&(this.syncing||this.syncTasks.size===0))){this.syncing=!0;var i=[],a=new Set,s=function(l){if(!a.has(l)&&l.renderable){var c=e.syncNode(l,n);c&&(i.push(c),a.add(l))}};this.syncTasks.forEach(function(o,l){o&&l.forEach(s);for(var c=l;c;)s(c),c=c.parentElement}),this.rBush.load(i),i.length=0,this.syncing=!1}}}])}();sm.tag="Prepare";function s9(r){return!!r.document}var ri=function(r){return r.READY="ready",r.BEFORE_RENDER="beforerender",r.RERENDER="rerender",r.AFTER_RENDER="afterrender",r.BEFORE_DESTROY="beforedestroy",r.AFTER_DESTROY="afterdestroy",r.RESIZE="resize",r.DIRTY_RECTANGLE="dirtyrectangle",r.RENDERER_CHANGED="rendererchanged",r}({}),om=500,yT=.1,bT=1e3,Cc=new Qn(De.MOUNTED),Nc=new Qn(De.UNMOUNTED),vf=new Qn(ri.BEFORE_RENDER),lm=new Qn(ri.RERENDER),gf=new Qn(ri.AFTER_RENDER),pf=function(r){function t(e){var n;(0,N.Z)(this,t),n=(0,_.Z)(this,t),n.Element=yn,n.inited=!1,n.context={};var i=e.container,a=e.canvas,s=e.renderer,o=e.width,l=e.height,c=e.background,u=e.cursor,h=e.supportsMutipleCanvasesInOneContainer,d=e.cleanUpOnDestroy,f=d===void 0?!0:d,v=e.offscreenCanvas,g=e.devicePixelRatio,p=e.requestAnimationFrame,y=e.cancelAnimationFrame,b=e.createImage,E=e.supportsTouchEvents,O=e.supportsPointerEvents,P=e.isTouchEvent,R=e.isMouseEvent,F=e.dblClickSpeed,I=o,V=l,Y=g||rf&&window.devicePixelRatio||1;return Y=Y>=1?Math.ceil(Y):1,a&&(I=o||KM(a)||a.width/Y,V=l||QM(a)||a.height/Y),n.customElements=new gT,n.devicePixelRatio=Y,n.requestAnimationFrame=p!=null?p:sf.bind(Vt.globalThis),n.cancelAnimationFrame=y!=null?y:Vp.bind(Vt.globalThis),n.createImage=b!=null?b:function(){return new window.Image},n.supportsTouchEvents=E!=null?E:"ontouchstart"in Vt.globalThis,n.supportsPointerEvents=O!=null?O:!!Vt.globalThis.PointerEvent,n.isTouchEvent=P!=null?P:function(J){return n.supportsTouchEvents&&J instanceof Vt.globalThis.TouchEvent},n.isMouseEvent=R!=null?R:function(J){return!Vt.globalThis.MouseEvent||J instanceof Vt.globalThis.MouseEvent&&(!n.supportsPointerEvents||!(J instanceof Vt.globalThis.PointerEvent))},v&&(Vt.offscreenCanvas=v),n.document=new rm,n.document.defaultView=n,h||UM(i,n,f),n.initRenderingContext((0,B.Z)((0,B.Z)({},e),{},{width:I,height:V,background:c!=null?c:"transparent",cursor:u!=null?u:"default",cleanUpOnDestroy:f,devicePixelRatio:Y,requestAnimationFrame:n.requestAnimationFrame,cancelAnimationFrame:n.cancelAnimationFrame,createImage:n.createImage,supportsTouchEvents:n.supportsTouchEvents,supportsPointerEvents:n.supportsPointerEvents,isTouchEvent:n.isTouchEvent,isMouseEvent:n.isMouseEvent,dblClickSpeed:F!=null?F:200})),n.initDefaultCamera(I,V,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 Vt.CameraContribution;o.clipSpaceNearZ=a,o.setType(sn.EXPLORING,Fd.DEFAULT).setPosition(n/2,i/2,om).setFocalPoint(n/2,i/2,0).setOrthographic(n/-2,n/2,i/2,i/-2,yT,bT),o.canvas=this,o.eventEmitter.on(Kg.UPDATED,function(){s.context.renderingContext.renderReasons.add(lo.CAMERA_CHANGED),Vt.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){Vt.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;jn.clearCache();var s=((n=this.getConfig().future)===null||n===void 0?void 0:n.experimentalCancelEventPropagation)===!0;a||this.dispatchEvent(new Qn(ri.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(),this.context.rBushRoot&&this.context.rBushRoot.clear(),a||this.dispatchEvent(new Qn(ri.AFTER_DESTROY),s,s);var l=function(u){u.currentTarget=null,u.manager=null,u.target=null,u.relatedNode=null};l(Cc),l(Nc),l(vf),l(lm),l(gf),l(qi),l(hf),l(df),l(nm),Vt.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,om).setFocalPoint(n/2,i/2,0),l===gi.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 Qn(ri.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&&(vf.detail=n,gf.detail=n);var s=((i=this.getConfig().future)===null||i===void 0?void 0:i.experimentalCancelEventPropagation)===!0;this.dispatchEvent(vf,s,s);var o=this.getRenderingService();o.render(this.getConfig(),n,function(){a.dispatchEvent(lm,s,s)}),this.dispatchEvent(gf,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.rBushRoot=new z2,this.context.renderingPlugins=[],this.context.renderingPlugins.push(new am,new sm,new im([new mT])),this.loadRendererContainerModule(n),this.context.contextService=new this.context.ContextService((0,B.Z)((0,B.Z)({},Vt),this.context)),this.context.renderingService=new PA(Vt,this.context),this.context.eventService=new kA(Vt,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 Qn(ri.READY),l,l)}):i.dispatchEvent(new Qn(ri.READY),l,l):i.dispatchEvent(new Qn(ri.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(Vt)})}},{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(Vt)}),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(Nc);else{var a,s=((a=this.getConfig().future)===null||a===void 0?void 0:a.experimentalCancelEventPropagation)===!0;Nc.target=n,this.dispatchEvent(Nc,!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(Cc);else{var s,o=((s=this.getConfig().future)===null||s===void 0?void 0:s.experimentalCancelEventPropagation)===!0;Cc.target=n,this.dispatchEvent(Cc,!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})}}])}(Qp);var xT=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===sn.ORBITING||this.type===sn.EXPLORING?this._getPosition():this.type===sn.TRACKING&&this._getFocalPoint(),this._update(),this}},{key:"pan",value:function(n,i){var a=Dr(n,i,0),s=wt(this.position);return Ut(s,s,Pt(pt(),this.right,a[0])),Ut(s,s,Pt(pt(),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===sn.ORBITING||this.type===sn.EXPLORING?this._getDistance():this.type===sn.TRACKING&&Ut(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 Vt.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:ue(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=Ge(n)?this.landmarks.find(function(J){return J.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 E=s.position,O=s.focalPoint,P=s.zoom,R=s.roll,F=f||Vt.EasingFunction(c),I,V=function(){i.setFocalPoint(O),i.setPosition(E),i.setRoll(R),i.setZoom(P),i.computeMatrix(),i.triggerUpdate(),g==null||g()};if(h===0)return V();var Y=function($){I===void 0&&(I=$);var ot=$-I;if(ot>=h){V();return}var ct=F(ot/h),ft=pt(),Nt=pt(),Ot=1,mt=0;_e(ft,i.focalPoint,O,ct),_e(Nt,i.position,E,ct),mt=i.roll*(1-ct)+R*ct,Ot=i.zoom*(1-ct)+P*ct,i.setFocalPoint(ft),i.setPosition(Nt),i.setRoll(mt),i.setZoom(Ot);var yt=ls(ft,O)+ls(Nt,E);if(yt<=b&&P===void 0&&R===void 0)return V();i.computeMatrix(),i.triggerUpdate(),ot0&&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 xf(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(rn)}},{key:"addEventListener",value:function(e,n,i){throw new Error(rn)}},{key:"removeEventListener",value:function(e,n,i){throw new Error(rn)}},{key:"dispatchEvent",value:function(e){throw new Error(rn)}},{key:"commitStyles",value:function(){throw new Error(rn)}},{key:"ensureAlive",value:function(){if(this.playbackRate<0&&this.currentTime===0){var 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i=this.pointerByTouch.findIndex(a=>a.pointerId===t);i>=0&&(this.pointerByTouch[i]={x:e,y:n,pointerId:t})}onPointerDown(t){const{x:e,y:n}=t.client||{};if(!(e===void 0||n===void 0)&&(this.pointerByTouch.push({x:e,y:n,pointerId:t.pointerId}),t.pointerType==="touch"&&this.pointerByTouch.length===2)){Gn.isPinching=!0;const i=this.pointerByTouch[0].x-this.pointerByTouch[1].x,a=this.pointerByTouch[0].y-this.pointerByTouch[1].y;this.initialDistance=Math.sqrt(i*i+a*a),Gn.callbacks.pinchstart.forEach(s=>s(t,{scale:0}))}}onPointerMove(t){if(this.pointerByTouch.length!==2||this.initialDistance===null)return;const{x:e,y:n}=t.client||{};if(e===void 0||n===void 0)return;this.updatePointerPosition(t.pointerId,e,n);const i=this.pointerByTouch[0].x-this.pointerByTouch[1].x,a=this.pointerByTouch[0].y-this.pointerByTouch[1].y,o=Math.sqrt(i*i+a*a)/this.initialDistance;Gn.callbacks.pinchmove.forEach(l=>l(t,{scale:(o-1)*5}))}onPointerUp(t){var e;Gn.callbacks.pinchend.forEach(n=>n(t,{scale:0})),Gn.isPinching=!1,this.initialDistance=null,this.pointerByTouch=[],(e=Gn.instance)===null||e===void 0||e.tryDestroy()}destroy(){this.emitter.off(Bt.POINTER_DOWN,this.onPointerDown),this.emitter.off(Bt.POINTER_MOVE,this.onPointerMove),this.emitter.off(Bt.POINTER_UP,this.onPointerUp),Gn.instance=null}off(t,e){const n=Gn.callbacks[t].indexOf(e);n>-1&&Gn.callbacks[t].splice(n,1),this.tryDestroy()}tryDestroy(){Object.values(Gn.callbacks).every(t=>t.length===0)&&this.destroy()}}Gn.isPinching=!1,Gn.instance=null,Gn.callbacks={pinchstart:[],pinchmove:[],pinchend:[]};const _y=r=>r.map(t=>Ge(t)?t.toLocaleLowerCase():t);class go{constructor(t){this.map=new Map,this.boundHandlePinch=()=>{},this.recordKey=new Set,this.onKeyDown=e=>{e!=null&&e.key&&(this.recordKey.add(e.key),this.trigger(e))},this.onKeyUp=e=>{e!=null&&e.key&&this.recordKey.delete(e.key)},this.onWheel=e=>{this.triggerExtendKey(Bt.WHEEL,e)},this.onDrag=e=>{this.triggerExtendKey(Bt.DRAG,e)},this.handlePinch=(e,n)=>{this.triggerExtendKey(Bt.PINCH,Object.assign(Object.assign({},e),n))},this.onFocus=()=>{this.recordKey.clear()},this.emitter=t,this.bindEvents()}bind(t,e){t.length!==0&&(t.includes(Bt.PINCH)&&!this.pinchHandler&&(this.boundHandlePinch=this.handlePinch.bind(this),this.pinchHandler=new Gn(this.emitter,"pinchmove",this.boundHandlePinch)),this.map.set(t,e))}unbind(t,e){this.map.forEach((n,i)=>{Wn(i,t)&&(!e||e===n)&&this.map.delete(i)})}unbindAll(){this.map.clear()}match(t){const e=_y(Array.from(this.recordKey)).sort(),n=_y(t).sort();return Wn(e,n)}bindEvents(){var t;const{emitter:e}=this;e.on(Bt.KEY_DOWN,this.onKeyDown),e.on(Bt.KEY_UP,this.onKeyUp),e.on(Bt.WHEEL,this.onWheel),e.on(Bt.DRAG,this.onDrag),(t=globalThis.addEventListener)===null||t===void 0||t.call(globalThis,"focus",this.onFocus)}trigger(t){this.map.forEach((e,n)=>{this.match(n)&&e(t)})}triggerExtendKey(t,e){this.map.forEach((n,i)=>{i.includes(t)&&Wn(Array.from(this.recordKey),i.filter(a=>a!==t))&&n(e)})}destroy(){var t,e;this.unbindAll(),this.emitter.off(Bt.KEY_DOWN,this.onKeyDown),this.emitter.off(Bt.KEY_UP,this.onKeyUp),this.emitter.off(Bt.WHEEL,this.onWheel),this.emitter.off(Bt.DRAG,this.onDrag),(t=this.pinchHandler)===null||t===void 0||t.off("pinchmove",this.boundHandlePinch),(e=globalThis.removeEventListener)===null||e===void 0||e.call(globalThis,"blur",this.onFocus)}}class yl extends si{constructor(t,e){super(t,mr({},yl.defaultOptions,e)),this.shortcut=new go(t.graph),this.onPointerDown=this.onPointerDown.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.clearStates=this.clearStates.bind(this),this.bindEvents()}onPointerDown(t){if(!this.validate(t)||!this.isKeydown()||this.startPoint)return;const{canvas:e,graph:n}=this.context,i=Object.assign({},this.options.style);this.options.style.lineWidth&&(i.lineWidth=+this.options.style.lineWidth/n.getZoom()),this.rectShape=new pr({id:"g6-brush-select",style:i}),e.appendChild(this.rectShape),this.startPoint=[t.canvas.x,t.canvas.y]}onPointerMove(t){var e;if(!this.startPoint)return;const{immediately:n,mode:i}=this.options;this.endPoint=fu(t,this.context.graph),(e=this.rectShape)===null||e===void 0||e.attr({x:Math.min(this.endPoint[0],this.startPoint[0]),y:Math.min(this.endPoint[1],this.startPoint[1]),width:Math.abs(this.endPoint[0]-this.startPoint[0]),height:Math.abs(this.endPoint[1]-this.startPoint[1])}),n&&i==="default"&&this.updateElementsStates(Ly(this.startPoint,this.endPoint))}onPointerUp(t){if(this.startPoint){if(!this.endPoint){this.clearBrush();return}this.endPoint=fu(t,this.context.graph),this.updateElementsStates(Ly(this.startPoint,this.endPoint)),this.clearBrush()}}clearStates(){this.endPoint||this.clearElementsStates()}clearElementsStates(){const{graph:t}=this.context,e=Object.values(t.getData()).reduce((n,i)=>Object.assign({},n,i.reduce((a,s)=>{var o;const l=(o=s.states||[])===null||o===void 0?void 0:o.filter(c=>c!==this.options.state);return a[At(s)]=l,a},{})),{});t.setElementState(e,this.options.animation)}updateElementsStates(t){const{graph:e}=this.context,{enableElements:n,state:i,mode:a,onSelect:s}=this.options,o=this.selector(e,t,n);let l={};switch(a){case"union":o.forEach(c=>{l[c]=[...e.getElementState(c),i]});break;case"diff":o.forEach(c=>{const u=e.getElementState(c);l[c]=u.includes(i)?u.filter(h=>h!==i):[...u,i]});break;case"intersect":o.forEach(c=>{const u=e.getElementState(c);l[c]=u.includes(i)?[i]:[]});break;case"default":default:o.forEach(c=>{l[c]=[i]});break}fe(s)&&(l=s(l)),e.setElementState(l,this.options.animation)}selector(t,e,n){if(!n||n.length===0)return[];const i=[],a=t.getData();if(n.forEach(s=>{a[`${s}s`].forEach(o=>{const l=At(o);t.getElementVisibility(l)!=="hidden"&&ON(t.getElementPosition(l),e)&&i.push(l)})}),n.includes("edge")){const s=a.edges;s==null||s.forEach(o=>{const{source:l,target:c}=o;i.includes(l)&&i.includes(c)&&i.push(At(o))})}return i}clearBrush(){var t;(t=this.rectShape)===null||t===void 0||t.remove(),this.rectShape=void 0,this.startPoint=void 0,this.endPoint=void 0}isKeydown(){const{trigger:t}=this.options,e=Array.isArray(t)?t:[t];return this.shortcut.match(e.filter(n=>n!=="drag"))}validate(t){if(this.destroyed)return!1;const{enable:e}=this.options;return fe(e)?e(t):!!e}bindEvents(){const{graph:t}=this.context;t.on(Bt.POINTER_DOWN,this.onPointerDown),t.on(Bt.POINTER_MOVE,this.onPointerMove),t.on(Bt.POINTER_UP,this.onPointerUp),t.on(va.CLICK,this.clearStates)}unbindEvents(){const{graph:t}=this.context;t.off(Bt.POINTER_DOWN,this.onPointerDown),t.off(Bt.POINTER_MOVE,this.onPointerMove),t.off(Bt.POINTER_UP,this.onPointerUp),t.off(va.CLICK,this.clearStates)}update(t){this.unbindEvents(),this.options=mr(this.options,t),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy()}}yl.defaultOptions={animation:!1,enable:!0,enableElements:["node","combo","edge"],immediately:!1,mode:"default",state:"selected",trigger:["shift"],style:{width:0,height:0,lineWidth:1,fill:"#1677FF",stroke:"#1677FF",fillOpacity:.1,zIndex:2,pointerEvents:"none"}};const fu=(r,t)=>{if((r.targetType==="node"||r.targetType==="combo")&&!(r.nativeEvent.target instanceof HTMLCanvasElement)){const[e,n]=t.getCanvasByClient([r.client.x,r.client.y]);return[e,n]}return[r.canvas.x,r.canvas.y]},ba=.8,Ls=["node","edge","combo"];function _s(r,t,e,n,i=0){n==="TB"&&t(r,i);const a=e(r);if(a)for(const s of a)_s(s,t,e,n,i+1);n==="BT"&&t(r,i)}function LN(r,t,e){const n=[[r,0]];for(;n.length;){const[i,a]=n.shift();t(i,a);const s=e(i);if(s)for(const o of s)n.push([o,a+1])}}function Dy(r,t,e,n,i="both"){if(t==="combo"||t==="node")return Kf(r,e,n,i);const a=r.getEdgeData(e);if(!a)return[];const s=Kf(r,a.source,n-1,i),o=Kf(r,a.target,n-1,i);return Array.from(new Set([...s,...o,e]))}function Kf(r,t,e,n="both"){const i=new Set,a=new Set,s=new Set;return LN(t,(o,l)=>{l>e||(s.add(o),r.getRelatedEdgesData(o,n).forEach(c=>{const u=At(c);!a.has(u)&&lr.getRelatedEdgesData(o,n).map(l=>l.source===o?l.target:l.source).filter(l=>i.has(l)?!1:(i.add(l),!0))),Array.from(s)}function Qf(r){return r.states||[]}var vu=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.onClickSelect=n=>vu(this,void 0,void 0,function*(){var i,a;this.validate(n)&&(yield this.updateState(n),(a=(i=this.options).onClick)===null||a===void 0||a.call(i,n))}),this.onClickCanvas=n=>vu(this,void 0,void 0,function*(){var i,a;this.validate(n)&&(yield this.clearState(),(a=(i=this.options).onClick)===null||a===void 0||a.call(i,n))}),this.shortcut=new go(t.graph),this.bindEvents()}bindEvents(){const{graph:t}=this.context;this.unbindEvents(),Ls.forEach(e=>{t.on(`${e}:${Bt.CLICK}`,this.onClickSelect)}),t.on(va.CLICK,this.onClickCanvas)}get 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v=u[s.id];u[s.id]=v.filter(g=>g!==e&&g!==i),v.includes(n)||u[s.id].push(n),f.forEach(g=>{u[g]=u[g].filter(p=>p!==i),u[g].includes(e)||u[g].push(n)})}else if(c==="select"){Object.assign(u,this.getClearStates(!!n));const v=(g,p)=>{g.forEach(y=>{u[y]||(u[y]=o.getElementState(y)),u[y].push(p)})};v(d,e),v(f,i),n&&Object.keys(u).forEach(g=>{!d.includes(g)&&!f.includes(g)&&u[g].push(n)})}else Object.assign(u,this.getClearStates());yield o.setElementState(u,a)})}getDataStates(){const{graph:t}=this.context,{nodes:e,edges:n,combos:i}=t.getData(),a={};return[...e,...n,...i].forEach(s=>{a[At(s)]=Qf(s)}),a}getClearStates(t=!1){const{graph:e}=this.context,{state:n,unselectedState:i,neighborState:a}=this.options,s=new Set([n,i,a]),{nodes:o,edges:l,combos:c}=e.getData(),u={};return[...o,...l,...c].forEach(h=>{const d=Qf(h),f=d.filter(v=>!s.has(v));(t||f.length!==d.length)&&(u[At(h)]=f)}),u}clearState(){return vu(this,void 0,void 0,function*(){const{graph:t}=this.context;yield 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a=["transform","transformOrigin","x","y","z","zIndex"];if(Object.keys(t[0]).some(s=>!a.includes(s))){Object.entries(this.shapeMap).forEach(([o,l])=>{const c=`get${Yc(o)}Style`,u=this[c];if(fe(u)){const h=t.map(f=>u.call(this,Object.assign(Object.assign({},this.attributes),f))),d=l.animate(Nf(h),e);d&&(Jf(l,d),n.push(d))}});const s=(o,l)=>{if(!ra(o)){const c=`get${Yc(l)}Style`,u=this[c];if(fe(u)){const h=t.map(d=>u.call(this,Object.assign(Object.assign({},this.attributes),d)));Object.entries(h[0]).map(([d])=>{const f=h.map(g=>g[d]),v=o[d];if(v){const g=v.animate(Nf(f),e);g&&(Jf(v,g),n.push(g))}})}}};this.compositeShapes.forEach(([o,l])=>{const c=qf(this.shapeMap,l);s(c,o)})}}return Cf(n)}getShape(t){return this.shapeMap[t]}setVisibility(){const{visibility:t}=this.attributes;Ps(this,t)}destroy(){this.shapeMap={},this.animateMap={},super.destroy()}}function Jf(r,t){t==null||t.finished.then(()=>{const e=r.activeAnimations.findIndex(n=>n===t);e>-1&&r.activeAnimations.splice(e,1)})}function Vy(r){if(!r)return{};if("x"in r||"y"in r||"z"in r){const{x:t=0,y:e=0,z:n,transform:i}=r,a=Nm(t,e,n,i);a&&(r.transform=a)}return r}var KN=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{e.push([i===0?"M":"L",...n])}),t&&e.push(["Z"]),e}const Uy={M:["x","y"],m:["dx","dy"],H:["x"],h:["dx"],V:["y"],v:["dy"],L:["x","y"],l:["dx","dy"],Z:[],z:[],C:["x1","y1","x2","y2","x","y"],c:["dx1","dy1","dx2","dy2","dx","dy"],S:["x2","y2","x","y"],s:["dx2","dy2","dx","dy"],Q:["x1","y1","x","y"],q:["dx1","dy1","dx","dy"],T:["x","y"],t:["dx","dy"],A:["rx","ry","rotation","large-arc","sweep","x","y"],a:["rx","ry","rotation","large-arc","sweep","dx","dy"]};function qN(r){const t=r.replace(/[\n\r]/g,"").replace(/-/g," -").replace(/(\d*\.)(\d+)(?=\.)/g,"$1$2 ").trim().split(/\s*,|\s+/),e=[];let n="",i={};for(;t.length>0;){let a=t.shift();a in Uy?n=a:t.unshift(a),i={type:n},Uy[n].forEach(l=>{a=t.shift(),i[l]=a}),n==="M"?n="L":n==="m"&&(n="l");const[s,...o]=Object.values(i);e.push([s,...o.map(Number)])}return e}function JN(r){const t=[];return(typeof r=="string"?qN(r):r).forEach(n=>{const i=n[0];if(i==="Z"){t.push(t[0]);return}if(i!=="A")for(let a=1;a{if(r.length<2)return[["M",0,0],["L",0,0]];const t=r[0],e=r[1],n=r[r.length-1],i=r[r.length-2];r.unshift(i,n),r.push(t,e);const a=[["M",n[0],n[1]]];for(let s=1;s{const p=v,y=u[(g+1)%u.length];return Wn(p,y)?null:[p,y]}).filter(Boolean),d=kN([o,l],h),f=Ry([o,l],d);if(f&&d&&(c.transform=[["translate",f[0]+e,f[1]+n]],s)){const v=Math.atan((d[0][1]-d[1][1])/(d[0][0]-d[1][0]));c.transform.push(["rotate",v/Math.PI*180]),c.textAlign="center",(t==="right"||t==="left")&&(v>0?c.textBaseline=t==="right"?"bottom":"top":c.textBaseline=t==="right"?"top":"bottom")}return c}var tk=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{n!=null&&n.children.length&&n.children.forEach(i=>{t.push(i),e(i)})};return e(r),t}function nk(r){const t=[];let e=r.parentNode;for(;e;)t.push(e),e=e.parentNode;return t}class $f extends sl{constructor(t){super(t),this.onMounted=()=>{this.handleRadius()},this.onAttrModified=()=>{this.handleRadius()},mo=this,this.isMutationObserved=!0,this.addEventListener(De.MOUNTED,this.onMounted),this.addEventListener(De.ATTR_MODIFIED,this.onAttrModified)}handleRadius(){const{radius:t,clipPath:e,width:n=0,height:i=0}=this.attributes;if(t&&n&&i){const[a,s]=this.getBounds().min,o={x:a,y:s,radius:t,width:n,height:i};if(e)Object.assign(this.parsedStyle.clipPath.style,o);else{const l=new pr({style:o});this.style.clipPath=l}}else e&&(this.style.clipPath=null)}}const tv=new WeakMap;let mo=null;const ev=r=>{if(mo&&nk(mo).includes(r)){const t=tv.get(r);t?t.includes(mo)||t.push(mo):tv.set(r,[mo])}},nv=r=>{const t=tv.get(r);t&&t.forEach(e=>e.handleRadius())};class Hy extends El{constructor(t){super(t)}isImage(){const{src:t}=this.attributes;return!!t}getIconStyle(t=this.attributes){const{width:e=0,height:n=0}=t,i=this.getGraphicStyle(t);return this.isImage()?Object.assign({x:-e/2,y:-n/2},i):Object.assign({textBaseline:"middle",textAlign:"center"},i)}render(t=this.attributes,e=this){this.upsert("icon",this.isImage()?$f:Os,this.getIconStyle(t),e)}}class Xy extends El{get context(){return this.config.context}get parsedAttributes(){return this.attributes}onframe(){}animate(t,e){const n=super.animate(t,e);return n&&(n.onframe=()=>this.onframe(),n.finished.then(()=>this.onframe())),n}}var pu=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{i[h]=!1}),t.badge===!1||!(!((e=t.badges)===null||e===void 0)&&e.length))return i;const{badges:a=[],badgePalette:s,opacity:o=1}=t,l=pu(t,["badges","badgePalette","opacity"]),c=Zy(s),u=_n(this.getGraphicStyle(l),"badge");return a.forEach((h,d)=>{i[d]=Object.assign(Object.assign({backgroundFill:c?c[d%(c==null?void 0:c.length)]:void 0,opacity:o},u),this.getBadgeStyle(h))}),i}getBadgeStyle(t){const e=this.getShape("key"),{placement:n="top",offsetX:i,offsetY:a}=t,s=pu(t,["placement","offsetX","offsetY"]),o=O1(e.getLocalBounds(),n,i,a,!0);return Object.assign(Object.assign({},o),s)}getPortsStyle(t){var e;const n=this.getPorts(),i={};if(Object.keys(n).forEach(o=>{i[o]=!1}),t.port===!1||!(!((e=t.ports)===null||e===void 0)&&e.length))return i;const a=_n(this.getGraphicStyle(t),"port"),{ports:s=[]}=t;return s.forEach((o,l)=>{const c=o.key||l,u=Object.assign(Object.assign({},a),o);if(M1(u))i[c]=!1;else{const[h,d]=this.getPortXY(t,o);i[c]=Object.assign({transform:[["translate",h,d]]},u)}}),i}getPortXY(t,e){const{placement:n="left"}=e,i=this.getShape("key");return pv(rk(this.context,i),n)}getPorts(){return qf(this.shapeMap,"port-")}getCenter(){return this.getShape("key").getBounds().center}getIntersectPoint(t,e=!1){const n=this.getShape("key").getBounds();return CN(t,n,e)}drawHaloShape(t,e){const n=this.getHaloStyle(t),i=this.getShape("key");this.upsert("halo",i.constructor,n,e)}drawIconShape(t,e){const n=this.getIconStyle(t);this.upsert("icon",Hy,n,e),ev(this)}drawBadgeShapes(t,e){const n=this.getBadgesStyle(t);Object.keys(n).forEach(i=>{const a=n[i];this.upsert(`badge-${i}`,po,a,e)})}drawPortShapes(t,e){const n=this.getPortsStyle(t);Object.keys(n).forEach(i=>{const a=n[i],s=`port-${i}`;this.upsert(s,Ji,a,e)})}drawLabelShape(t,e){const n=this.getLabelStyle(t);this.upsert("label",ia,n,e)}_drawKeyShape(t,e){return this.drawKeyShape(t,e)}render(t=this.parsedAttributes,e=this){this._drawKeyShape(t,e),this.getShape("key")&&(this.drawHaloShape(t,e),this.drawIconShape(t,e),this.drawBadgeShapes(t,e),this.drawLabelShape(t,e),this.drawPortShapes(t,e))}update(t){super.update(t),t&&("x"in t||"y"in t||"z"in t)&&nv(this)}onframe(){this.drawBadgeShapes(this.parsedAttributes,this),this.drawLabelShape(this.parsedAttributes,this)}}Fi.defaultStyleProps={x:0,y:0,size:32,droppable:!0,draggable:!0,port:!0,ports:[],portZIndex:2,portLinkToCenter:!1,badge:!0,badges:[],badgeZIndex:3,halo:!1,haloDroppable:!1,haloLineDash:0,haloLineWidth:12,haloStrokeOpacity:.25,haloPointerEvents:"none",haloZIndex:-1,icon:!0,iconZIndex:1,label:!0,labelIsBillboard:!0,labelMaxWidth:"200%",labelPlacement:"bottom",labelWordWrap:!1,labelZIndex:0};function rk(r,t){if(!r)return t.getLocalBounds();const e=r.canvas.getLayer(),n=t.cloneNode();Ps(n,"hidden"),e.appendChild(n);const i=n.getLocalBounds();return n.destroy(),i}class Ds extends Fi{constructor(t){super(ur({style:Ds.defaultStyleProps},t))}drawKeyShape(t,e){return this.upsert("key",Ji,this.getKeyStyle(t),e)}getKeyStyle(t){const e=super.getKeyStyle(t);return Object.assign(Object.assign({},e),{r:Math.min(...this.getSize(t))/2})}getIconStyle(t){const e=super.getIconStyle(t),{r:n}=this.getShape("key").attributes,i=n*2*ba;return e?Object.assign({width:i,height:i},e):!1}getIntersectPoint(t,e=!1){const n=this.getShape("key").getBounds();return du(t,n,e)}}Ds.defaultStyleProps={size:32};class mu extends Fi{constructor(t){super(t)}get parsedAttributes(){return this.attributes}drawKeyShape(t,e){return this.upsert("key",Ts,this.getKeyStyle(t),e)}getKeyStyle(t){const e=super.getKeyStyle(t);return Object.assign(Object.assign({},e),{points:this.getPoints(t)})}getIntersectPoint(t,e=!1){var n,i;const{points:a}=this.getShape("key").attributes,s=[+(((n=this.attributes)===null||n===void 0?void 0:n.x)||0),+(((i=this.attributes)===null||i===void 0?void 0:i.y)||0)];return Py(t,s,a,!0,e).point}}class ik extends mu{constructor(t){super(t)}getPoints(t){const[e,n]=this.getSize(t);return X3(e,n)}}var ak=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);iie(h)?{value:h}:h),a=_n(this.getGraphicStyle(t),"donut"),s=Zy(t.donutPalette);if(!s)return;const o=i.reduce((h,d)=>{var f;return h+((f=d.value)!==null&&f!==void 0?f:0)},0),l=this.parseOuterR(),c=this.parseInnerR();let u=0;i.forEach((h,d)=>{const{value:f=0,color:v=s[d%s.length]}=h,g=ak(h,["value","color"]),p=(o===0?1/i.length:f/o)*360;this.upsert(`round${d}`,ni,Object.assign(Object.assign(Object.assign({},a),{d:lk(l,c,u,u+p),fill:v}),g),e),u+=p})}render(t,e=this){super.render(t,e),this.drawDonutShape(t,e)}}yu.defaultStyleProps={innerR:"50%",donuts:[],donutPalette:"tableau"};const bu=(r,t,e,n)=>[r+Math.sin(n)*e,t-Math.cos(n)*e],sk=(r,t,e,n)=>n<=0||e<=n?[["M",r-e,t],["A",e,e,0,1,1,r+e,t],["A",e,e,0,1,1,r-e,t],["Z"]]:[["M",r-e,t],["A",e,e,0,1,1,r+e,t],["A",e,e,0,1,1,r-e,t],["Z"],["M",r+n,t],["A",n,n,0,1,0,r-n,t],["A",n,n,0,1,0,r+n,t],["Z"]],ok=(r,t,e,n,i,a)=>{const[s,o]=[i/360*2*Math.PI,a/360*2*Math.PI],l=[bu(r,t,n,s),bu(r,t,e,s),bu(r,t,e,o),bu(r,t,n,o)],c=o-s>Math.PI?1:0;return[["M",l[0][0],l[0][1]],["L",l[1][0],l[1][1]],["A",e,e,0,c,1,l[2][0],l[2][1]],["L",l[3][0],l[3][1]],["A",n,n,0,c,0,l[0][0],l[0][1]],["Z"]]},lk=(r=0,t=0,e,n)=>{const[i,a]=[0,0];return Math.abs(e-n)%360<1e-6?sk(i,a,r,t):ok(i,a,r,t,e,n)};class xu extends Fi{constructor(t){super(ur({style:xu.defaultStyleProps},t))}drawKeyShape(t,e){return this.upsert("key",al,this.getKeyStyle(t),e)}getKeyStyle(t){const e=super.getKeyStyle(t),[n,i]=this.getSize(t);return Object.assign(Object.assign({},e),{rx:n/2,ry:i/2})}getIconStyle(t){const e=super.getIconStyle(t),{rx:n,ry:i}=this.getShape("key").attributes,a=Math.min(+n,+i)*2*ba;return e?Object.assign({width:a,height:a},e):!1}getIntersectPoint(t,e=!1){const n=this.getShape("key").getBounds();return du(t,n,e)}}xu.defaultStyleProps={size:[45,35]};class ck extends mu{constructor(t){super(t)}getOuterR(t){return t.outerR||Math.min(...this.getSize(t))/2}getPoints(t){return Q3(this.getOuterR(t))}getIconStyle(t){const e=super.getIconStyle(t),n=this.getOuterR(t)*ba;return e?Object.assign({width:n,height:n},e):!1}}function uk(r,t){var e=t.cx,n=e===void 0?0:e,i=t.cy,a=i===void 0?0:i,s=t.r;r.arc(n,a,s,0,Math.PI*2,!1)}function hk(r,t){var e=t.cx,n=e===void 0?0:e,i=t.cy,a=i===void 0?0:i,s=t.rx,o=t.ry;if(r.ellipse)r.ellipse(n,a,s,o,0,0,Math.PI*2,!1);else{var l=s>o?s:o,c=s>o?1:s/o,u=s>o?o/s:1;r.save(),r.scale(c,u),r.arc(n,a,l,0,Math.PI*2)}}function dk(r,t){var e=t.x1,n=t.y1,i=t.x2,a=t.y2,s=t.markerStart,o=t.markerEnd,l=t.markerStartOffset,c=t.markerEndOffset,u=0,h=0,d=0,f=0,v=0,g,p;s&&Ve(s)&&l&&(g=i-e,p=a-n,v=Math.atan2(p,g),u=Math.cos(v)*(l||0),h=Math.sin(v)*(l||0)),o&&Ve(o)&&c&&(g=e-i,p=n-a,v=Math.atan2(p,g),d=Math.cos(v)*(c||0),f=Math.sin(v)*(c||0)),r.moveTo(e+u,n+h),r.lineTo(i+d,a+f)}function fk(r,t){var e=t.markerStart,n=t.markerEnd,i=t.markerStartOffset,a=t.markerEndOffset,s=t.d,o=s.absolutePath,l=s.segments,c=0,u=0,h=0,d=0,f=0,v,g;if(e&&Ve(e)&&i){var p=e.parentNode.getStartTangent(),y=(0,L.Z)(p,2),b=y[0],E=y[1];v=b[0]-E[0],g=b[1]-E[1],f=Math.atan2(g,v),c=Math.cos(f)*(i||0),u=Math.sin(f)*(i||0)}if(n&&Ve(n)&&a){var O=n.parentNode.getEndTangent(),P=(0,L.Z)(O,2),R=P[0],F=P[1];v=R[0]-F[0],g=R[1]-F[1],f=Math.atan2(g,v),h=Math.cos(f)*(a||0),d=Math.sin(f)*(a||0)}for(var 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o=s.src,l=s.imageCache,c=s.imageRect,u=s.drawRect,h=l.size,d=n.getTransform(),f=d.a,v=d.b,g=d.c,p=d.d,y=d.e,b=d.f;if(n.resetTransform(),!(l!=null&&l.gridSize)){this.imagePool.createImageTiles(o,[],function(){a.ownerDocument&&(a.dirty(),a.ownerDocument.defaultView.context.renderingService.dirtify())},a).catch(function(ft){console.error(ft)});return}for(var E=[h[0]/c[2],h[1]/c[3]],O=[l.tileSize[0]/E[0],l.tileSize[1]/E[1]],P=[Math.floor((u[0]-c[0])/O[0]),Math.ceil((u[0]+u[2]-c[0])/O[0])],R=P[0],F=P[1],I=[Math.floor((u[1]-c[1])/O[1]),Math.ceil((u[1]+u[3]-c[1])/O[1])],V=I[0],Y=I[1],J=V;J<=Y;J++)for(var $=R;$<=F;$++){var ot=l.tiles[J][$];if(ot){var ct=[Math.floor(c[0]+ot.tileX*O[0]),Math.floor(c[1]+ot.tileY*O[1]),Math.ceil(O[0]),Math.ceil(O[1])];n.drawImage(ot.data,ct[0],ct[1],ct[2],ct[3])}}n.setTransform(f,v,g,p,y,b)}},{key:"render",value:function(n,i,a){var s=i.x,o=s===void 0?0:s,l=i.y,c=l===void 0?0:l,u=i.width,h=i.height,d=i.src,f=i.shadowColor,v=i.shadowBlur,g=this.imagePool.getImageSync(d,a),p=g==null?void 0:g.img,y=u,b=h;if(p){y||(y=p.width),b||(b=p.height);var E=!me(f)&&v>0;Ou(a,n,E);try{var O=a.ownerDocument.defaultView.getContextService().getDomElement(),P=O.width,R=O.height,F=n.getTransform(),I=F.a,V=F.b,Y=F.c,J=F.d,$=F.e,ot=F.f,ct=Ae(I,Y,0,0,V,J,0,0,0,0,1,0,$,ot,0,1),ft=Gk([o,c,y,b],ct),Nt=Wk([0,0,P,R],ft);if(!Nt)return;if(!a.ownerDocument.defaultView.getConfig().enableLargeImageOptimization){t.renderFull(n,i,a,{image:p,drawRect:[o,c,y,b]});return}var Ot=ft[2]/g.size[0];if(Ot<(g.downSamplingRate||.5)){this.renderDownSampled(n,i,a,{src:d,imageCache:g,drawRect:[o,c,y,b]});return}if(!ov.isSupportTile){t.renderFull(n,i,a,{image:p,drawRect:[o,c,y,b]});return}this.renderTile(n,i,a,{src:d,imageCache:g,imageRect:ft,drawRect:Nt})}catch(mt){}}}},{key:"drawToContext",value:function(n,i,a,s,o){this.render(n,i.parsedStyle,i)}}],[{key:"renderFull",value:function(n,i,a,s){n.drawImage(s.image,Math.floor(s.drawRect[0]),Math.floor(s.drawRect[1]),Math.ceil(s.drawRect[2]),Math.ceil(s.drawRect[3]))}}])}(lv),Uk=function(r){function t(){return(0,N.Z)(this,t),(0,_.Z)(this,t,arguments)}return(0,C.Z)(t,r),(0,T.Z)(t,[{key:"render",value:function(n,i,a,s,o,l){a.getBounds();var c=i.lineWidth,u=c===void 0?1:c,h=i.textAlign,d=h===void 0?"start":h,f=i.textBaseline,v=f===void 0?"alphabetic":f,g=i.lineJoin,p=g===void 0?"miter":g,y=i.miterLimit,b=y===void 0?10:y,E=i.letterSpacing,O=E===void 0?0:E,P=i.stroke,R=i.fill,F=i.fillRule,I=i.fillOpacity,V=I===void 0?1:I,Y=i.strokeOpacity,J=Y===void 0?1:Y,$=i.opacity,ot=$===void 0?1:$,ct=i.metrics,ft=i.x,Nt=ft===void 0?0:ft,Ot=i.y,mt=Ot===void 0?0:Ot,yt=i.dx,Rt=i.dy,jt=i.shadowColor,Xt=i.shadowBlur,ee=ct.font,ae=ct.lines,he=ct.height,ce=ct.lineHeight,xe=ct.lineMetrics;n.font=ee,n.lineWidth=u,n.textAlign=d==="middle"?"center":d;var Ce=v;Ce==="alphabetic"&&(Ce="bottom"),n.lineJoin=p,me(b)||(n.miterLimit=b);var je=mt;v==="middle"?je+=-he/2-ce/2:v==="bottom"||v==="alphabetic"||v==="ideographic"?je+=-he:(v==="top"||v==="hanging")&&(je+=-ce);var Ue=Nt+(yt||0);je+=Rt||0,ae.length===1&&(Ce==="bottom"?(Ce="middle",je-=.5*he):Ce==="top"&&(Ce="middle",je+=.5*he)),n.textBaseline=Ce;var or=!me(jt)&&Xt>0;Ou(a,n,or);for(var Ke=0;Ke0&&arguments[0]!==void 0?arguments[0]:{};return(0,N.Z)(this,t),e=(0,_.Z)(this,t),e.name="canvas-renderer",e.options=n,e}return(0,C.Z)(t,r),(0,T.Z)(t,[{key:"init",value:function(){var n,i=(0,B.Z)({dirtyObjectNumThreshold:500,dirtyObjectRatioThreshold:.8},this.options),a=this.context.imagePool,s=new lv(a),o=(n={},(0,se.Z)((0,se.Z)((0,se.Z)((0,se.Z)((0,se.Z)((0,se.Z)((0,se.Z)((0,se.Z)((0,se.Z)((0,se.Z)(n,Dt.CIRCLE,s),Dt.ELLIPSE,s),Dt.RECT,s),Dt.IMAGE,new Vk(a)),Dt.TEXT,new Uk(a)),Dt.LINE,s),Dt.POLYLINE,s),Dt.POLYGON,s),Dt.PATH,s),Dt.GROUP,void 0),(0,se.Z)((0,se.Z)((0,se.Z)(n,Dt.HTML,void 0),Dt.MESH,void 0),Dt.FRAGMENT,void 0));this.context.defaultStyleRendererFactory=o,this.context.styleRendererFactory=o,this.addRenderingPlugin(new t1(i))}},{key:"destroy",value:function(){this.removeAllRenderingPlugins(),delete this.context.defaultStyleRendererFactory,delete this.context.styleRendererFactory}}])}(_a);var i1=function(){function r(){(0,N.Z)(this,r)}return(0,T.Z)(r,[{key:"apply",value:function(e,n){var i=this,a=e.renderingService,s=e.renderingContext,o=e.config;this.context=e;var l=s.root.ownerDocument.defaultView,c=function(I){a.hooks.pointerMove.call(I)},u=function(I){a.hooks.pointerUp.call(I)},h=function(I){a.hooks.pointerDown.call(I)},d=function(I){a.hooks.pointerOver.call(I)},f=function(I){a.hooks.pointerOut.call(I)},v=function(I){a.hooks.pointerCancel.call(I)},g=function(I){a.hooks.pointerWheel.call(I)},p=function(I){a.hooks.click.call(I)},y=function(I){n.globalThis.document.addEventListener("pointermove",c,!0),I.addEventListener("pointerdown",h,!0),I.addEventListener("pointerleave",f,!0),I.addEventListener("pointerover",d,!0),n.globalThis.addEventListener("pointerup",u,!0),n.globalThis.addEventListener("pointercancel",v,!0)},b=function(I){I.addEventListener("touchstart",h,!0),I.addEventListener("touchend",u,!0),I.addEventListener("touchmove",c,!0),I.addEventListener("touchcancel",v,!0)},E=function(I){n.globalThis.document.addEventListener("mousemove",c,!0),I.addEventListener("mousedown",h,!0),I.addEventListener("mouseout",f,!0),I.addEventListener("mouseover",d,!0),n.globalThis.addEventListener("mouseup",u,!0)},O=function(I){n.globalThis.document.removeEventListener("pointermove",c,!0),I.removeEventListener("pointerdown",h,!0),I.removeEventListener("pointerleave",f,!0),I.removeEventListener("pointerover",d,!0),n.globalThis.removeEventListener("pointerup",u,!0),n.globalThis.removeEventListener("pointercancel",v,!0)},P=function(I){I.removeEventListener("touchstart",h,!0),I.removeEventListener("touchend",u,!0),I.removeEventListener("touchmove",c,!0),I.removeEventListener("touchcancel",v,!0)},R=function(I){n.globalThis.document.removeEventListener("mousemove",c,!0),I.removeEventListener("mousedown",h,!0),I.removeEventListener("mouseout",f,!0),I.removeEventListener("mouseover",d,!0),n.globalThis.removeEventListener("mouseup",u,!0)};a.hooks.init.tap(r.tag,function(){var F=i.context.contextService.getDomElement();n.globalThis.navigator.msPointerEnabled?(F.style.msContentZooming="none",F.style.msTouchAction="none"):l.supportsPointerEvents&&(F.style.touchAction="none"),l.supportsPointerEvents?y(F):E(F),l.supportsTouchEvents&&b(F),o.useNativeClickEvent&&F.addEventListener("click",p,!0),F.addEventListener("wheel",g,{passive:!0,capture:!0})}),a.hooks.destroy.tap(r.tag,function(){var F=i.context.contextService.getDomElement();n.globalThis.navigator.msPointerEnabled?(F.style.msContentZooming="",F.style.msTouchAction=""):l.supportsPointerEvents&&(F.style.touchAction=""),l.supportsPointerEvents?O(F):R(F),l.supportsTouchEvents&&P(F),o.useNativeClickEvent&&F.removeEventListener("click",p,!0),F.removeEventListener("wheel",g,!0)})}}])}();i1.tag="DOMInteraction";var Hk=function(r){function t(){var e;(0,N.Z)(this,t);for(var n=arguments.length,i=new Array(n),a=0;a1&&arguments[1]!==void 0?arguments[1]:[0,0,0];return"matrix(".concat([e[0],e[1],e[4],e[5],e[12]+n[0],e[13]+n[1]].join(","),")")}},{key:"apply",value:function(e,n){var i=this,a=e.camera,s=e.renderingContext,o=e.renderingService;this.context=e;var l=s.root.ownerDocument.defaultView,c=l.context.eventService.nativeHTMLMap,u=function(y,b){b.style.transform=i.joinTransformMatrix(y.getWorldTransform(),y.getOrigin())},h=function(y){var b=y.target;if(b.nodeName===Dt.HTML){i.$camera||(i.$camera=i.createCamera(a));var E=i.getOrCreateEl(b);i.$camera.appendChild(E),Object.keys(b.attributes).forEach(function(O){i.updateAttribute(O,b)}),u(b,E),c.set(E,b)}},d=function(y){var b=y.target;if(b.nodeName===Dt.HTML&&i.$camera){var E=i.getOrCreateEl(b);E&&(E.remove(),c.delete(E))}},f=function(y){var b=y.target;if(b.nodeName===Dt.HTML){var E=y.attrName;i.updateAttribute(E,b)}},v=function(y){var b=y.target,E=b.nodeName===Dt.FRAGMENT?b.childNodes:[b];E.forEach(function(O){if(O.nodeName===Dt.HTML){var P=i.getOrCreateEl(O);u(O,P)}})},g=function(){if(i.$camera){var y=i.context.config,b=y.width,E=y.height;i.$camera.parentElement.style.width="".concat(b||0,"px"),i.$camera.parentElement.style.height="".concat(E||0,"px")}};o.hooks.init.tap(r.tag,function(){l.addEventListener(ri.RESIZE,g),l.addEventListener(De.MOUNTED,h),l.addEventListener(De.UNMOUNTED,d),l.addEventListener(De.ATTR_MODIFIED,f),l.addEventListener(De.BOUNDS_CHANGED,v)}),o.hooks.endFrame.tap(r.tag,function(){i.$camera&&s.renderReasons.has(lo.CAMERA_CHANGED)&&(i.$camera.style.transform=i.joinTransformMatrix(a.getOrthoMatrix()))}),o.hooks.destroy.tap(r.tag,function(){i.$camera&&i.$camera.remove(),l.removeEventListener(ri.RESIZE,g),l.removeEventListener(De.MOUNTED,h),l.removeEventListener(De.UNMOUNTED,d),l.removeEventListener(De.ATTR_MODIFIED,f),l.removeEventListener(De.BOUNDS_CHANGED,v)})}},{key:"createCamera",value:function(e){var n=this.context.config,i=n.document,a=n.width,s=n.height,o=this.context.contextService.getDomElement(),l=o.parentNode;if(l){var c=Xk,u=l.querySelector("#".concat(c));if(!u){var h=(i||document).createElement("div");h.style.overflow="hidden",h.style.pointerEvents="none",h.style.position="absolute",h.style.left="0px",h.style.top="0px",h.style.width="".concat(a||0,"px"),h.style.height="".concat(s||0,"px");var d=(i||document).createElement("div");u=d,d.id=c,d.style.position="absolute",d.style.left="".concat(o.offsetLeft||0,"px"),d.style.top="".concat(o.offsetTop||0,"px"),d.style.transformOrigin="left top",d.style.transform=this.joinTransformMatrix(e.getOrthoMatrix()),d.style.pointerEvents="none",d.style.width="100%",d.style.height="100%",h.appendChild(d),l.appendChild(h)}return u}return null}},{key:"getOrCreateEl",value:function(e){var n=this.context.config.document,i=this.displayObjectHTMLElementMap.get(e);return i||(i=(n||document).createElement("div"),e.parsedStyle.$el=i,this.displayObjectHTMLElementMap.set(e,i),e.id&&(i.id=e.id),e.name&&i.setAttribute("name",e.name),e.className&&(i.className=e.className),i.style.position="absolute",i.style["will-change"]="transform",i.style.transform=this.joinTransformMatrix(e.getWorldTransform(),e.getOrigin())),i}},{key:"updateAttribute",value:function(e,n){var i=this.getOrCreateEl(n);switch(e){case"innerHTML":var a=n.parsedStyle.innerHTML;Ge(a)?i.innerHTML=a:(i.innerHTML="",i.appendChild(a));break;case"x":i.style.left="".concat(n.parsedStyle.x,"px");break;case"y":i.style.top="".concat(n.parsedStyle.y,"px");break;case"transformOrigin":var s=n.parsedStyle.transformOrigin;i.style["transform-origin"]="".concat(s[0].buildCSSText(null,null,"")," ").concat(s[1].buildCSSText(null,null,""));break;case"width":var o=n.parsedStyle.width;i.style.width=ie(o)?"".concat(o,"px"):o.toString();break;case"height":var l=n.parsedStyle.height;i.style.height=ie(l)?"".concat(l,"px"):l.toString();break;case"zIndex":var c=n.parsedStyle.zIndex;i.style["z-index"]="".concat(c);break;case"visibility":var u=n.parsedStyle.visibility;i.style.visibility=u;break;case"pointerEvents":var h=n.parsedStyle.pointerEvents,d=h===void 0?"auto":h;i.style.pointerEvents=d;break;case"opacity":var f=n.parsedStyle.opacity;i.style.opacity="".concat(f);break;case"fill":var v=n.parsedStyle.fill,g="";pc(v)?v.isNone?g="transparent":g=n.getAttribute("fill"):Array.isArray(v)?g=n.getAttribute("fill"):ys(v),i.style.background=g;break;case"stroke":var p=n.parsedStyle.stroke,y="";pc(p)?p.isNone?y="transparent":y=n.getAttribute("stroke"):Array.isArray(p)?y=n.getAttribute("stroke"):ys(p),i.style["border-color"]=y,i.style["border-style"]="solid";break;case"lineWidth":var b=n.parsedStyle.lineWidth;i.style["border-width"]="".concat(b||0,"px");break;case"lineDash":i.style["border-style"]="dashed";break;case"filter":var E=n.style.filter;i.style.filter=E;break;default:!me(n.style[e])&&n.style[e]!==""&&(i.style[e]=n.style[e])}}}])}();a1.tag="HTMLRendering";var Kk=function(r){function t(){var e;(0,N.Z)(this,t);for(var n=arguments.length,i=new Array(n),a=0;a0&&o[0]!==void 0?o[0]:{},a=i.type,s=i.encoderOptions,l.abrupt("return",this.context.canvas.toDataURL(a,s));case 1:case"end":return l.stop()}},n,this)}));function e(){return t.apply(this,arguments)}return e}()}])}(),qk=function(r){function t(){var e;(0,N.Z)(this,t);for(var n=arguments.length,i=new Array(n),a=0;a{const n=this.context.canvas,i=n.context.renderingContext.root.ownerDocument.defaultView;this.normalizeToPointerEvent(e,i).forEach(s=>{const o=this.bootstrapEvent(this.rootPointerEvent,s,i,e);bl(n.context.eventService,"mappingTable.pointerupoutside",[]),n.context.eventService.mapEvent(o)})}}get eventService(){return this.context.canvas.context.eventService}get events(){return[Bt.CLICK,Bt.POINTER_DOWN,Bt.POINTER_MOVE,Bt.POINTER_UP,Bt.POINTER_OVER,Bt.POINTER_LEAVE]}getDomElement(){return this.getShape("key").getDomElement()}render(t=this.parsedAttributes,e=this){this.drawKeyShape(t,e),this.drawPortShapes(t,e)}getKeyStyle(t){const e=Bs(t,["dx","dy","innerHTML","pointerEvents","cursor"]),{dx:n=0,dy:i=0}=e,a=t3(e,["dx","dy"]),[s,o]=this.getSize(t);return Object.assign(Object.assign({x:n,y:i},a),{width:s,height:o})}drawKeyShape(t,e){const n=this.getKeyStyle(t),{x:i,y:a,width:s=0,height:o=0}=n,l=this.upsert("key-container",pr,{x:i,y:a,width:s,height:o,opacity:0},e);return this.upsert("key",co,n,l)}connectedCallback(){if(!(this.context.canvas.getRenderer("main")instanceof Sl))return;const n=this.getDomElement();this.events.forEach(i=>{n.addEventListener(i,this.forwardEvents)})}attributeChangedCallback(t,e,n){t==="zIndex"&&e!==n&&(this.getDomElement().style.zIndex=n)}destroy(){const t=this.getDomElement();this.events.forEach(e=>{t.removeEventListener(e,this.forwardEvents)}),super.destroy()}normalizeToPointerEvent(t,e){const n=[];if(e.isTouchEvent(t))for(let i=0;ithis.context.element.getElement(s)).filter(Boolean);if(i.length===0){const s=new pn,{x:o=0,y:l=0,size:c}=t,[u,h]=oi(c);return s.setMinMax([o-u/2,l-h/2,0],[o+u/2,l+h/2,0]),s}const a=dl(i.map(s=>s.getBounds()));return n?za(a,n):a}drawCollapsedMarkerShape(t,e){const n=this.getCollapsedMarkerStyle(t);this.upsert("collapsed-marker",Hy,n,e),ev(this)}getCollapsedMarkerStyle(t){if(!t.collapsed||!t.collapsedMarker)return!1;const e=_n(this.getGraphicStyle(t),"collapsedMarker"),{type:n}=e,i=l1(e,["type"]),a=this.getShape("key"),[s,o]=ya(a.getLocalBounds(),"center"),l=Object.assign(Object.assign({},i),{x:s,y:o});if(n){const c=this.getCollapsedMarkerText(n,t);Object.assign(l,{text:c})}return l}getCollapsedMarkerText(t,e){const{childrenData:n=[]}=e,{model:i}=this.context;return t==="descendant-count"?i.getDescendantsData(this.id).length.toString():t==="child-count"?n.length.toString():t==="node-count"?i.getDescendantsData(this.id).filter(a=>i.getElementType(At(a))==="node").length.toString():fe(t)?t(n):""}getComboPosition(t){const{x:e=0,y:n=0,collapsed:i,childrenData:a=[]}=t;if(a.length===0)return[+e,+n,0];if(i){const{model:s}=this.context,o=s.getDescendantsData(this.id).filter(l=>!s.isCombo(At(l)));if(o.length>0&&o.some(MN)){const l=o.reduce((c,u)=>Ne(c,ir(u)),[0,0,0]);return Ii(l,o.length)}return[+e,+n,0]}return this.getContentBBox(t).center}getComboStyle(t){const[e,n]=this.getComboPosition(t);return{x:e,y:n,transform:[["translate",e,n]]}}updateComboPosition(t){const e=this.getComboStyle(t);Object.assign(this.style,e);const{x:n,y:i}=e;this.context.model.syncNodeLikeDatum({id:this.id,style:{x:n,y:i}}),nv(this)}render(t,e=this){super.render(t,e),this.drawCollapsedMarkerShape(t,e)}update(t={}){super.update(t),this.updateComboPosition(this.parsedAttributes)}onframe(){super.onframe(),this.attributes.collapsed||this.updateComboPosition(this.parsedAttributes),this.drawKeyShape(this.parsedAttributes,this)}animate(t,e){const n=super.animate(this.attributes.collapsed?t:t.map(i=>{var{x:a,y:s,z:o,transform:l}=i,c=l1(i,["x","y","z","transform"]);return c}),e);return n&&new Proxy(n,{set:(i,a,s)=>(a==="currentTime"&&Promise.resolve().then(()=>this.onframe()),Reflect.set(i,a,s))})}}yo.defaultStyleProps={childrenNode:[],droppable:!0,draggable:!0,collapsed:!1,collapsedSize:32,collapsedMarker:!0,collapsedMarkerZIndex:1,collapsedMarkerFontSize:12,collapsedMarkerTextAlign:"center",collapsedMarkerTextBaseline:"middle",collapsedMarkerType:"child-count"};class r3 extends yo{constructor(t){super(t)}drawKeyShape(t,e){return this.upsert("key",Ji,this.getKeyStyle(t),e)}getKeyStyle(t){const{collapsed:e}=t,n=super.getKeyStyle(t),[i]=this.getKeySize(t);return Object.assign(Object.assign(Object.assign({},n),e&&_n(n,"collapsed")),{r:i/2})}getCollapsedKeySize(t){const[e,n]=oi(t.collapsedSize),i=Math.max(e,n)/2;return[i*2,i*2,0]}getExpandedKeySize(t){const e=this.getContentBBox(t),[n,i]=Ba(e),a=Math.sqrt(Math.pow(n,2)+Math.pow(i,2))/2;return[a*2,a*2,0]}getIntersectPoint(t,e=!1){const n=this.getShape("key").getBounds();return du(t,n,e)}}class i3 extends yo{constructor(t){super(t)}drawKeyShape(t,e){return this.upsert("key",pr,this.getKeyStyle(t),e)}getKeyStyle(t){const e=super.getKeyStyle(t),[n,i]=this.getKeySize(t);return Object.assign(Object.assign(Object.assign({},e),t.collapsed&&_n(e,"collapsed")),{width:n,height:i,x:-n/2,y:-i/2})}}var a3=function(r,t){if(!cl(r))return r;for(var e=[],n=0;n-1:!1},l3=o3,c3=function(r,t){return t===void 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e=this.getKeyStyle(t),n=_n(this.getGraphicStyle(t),"halo");return Object.assign(Object.assign({},e),n)}getLabelStyle(t){if(t.label===!1||!t.labelText)return!1;const e=_n(this.getGraphicStyle(t),"label"),{placement:n,offsetX:i,offsetY:a,autoRotate:s,maxWidth:o}=e,l=Ru(e,["placement","offsetX","offsetY","autoRotate","maxWidth"]),c=f1(this.shapeMap.key,n,s,i,a),u=this.shapeMap.key.getLocalBounds(),h=jN([u.min,u.max],o);return Object.assign({wordWrapWidth:h},c,l)}getBadgeStyle(t){if(t.badge===!1||!t.badgeText)return!1;const e=_n(t,"badge"),{offsetX:n,offsetY:i,placement:a}=e,s=Ru(e,["offsetX","offsetY","placement"]);return Object.assign(s,v3(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:ni,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=_n(this.getGraphicStyle(t),i),{size:s,type:o}=a,l=Ru(a,["size","type"]),[c,u]=oi(M3(n.lineWidth,s)),d=(fe(o)?o:Z[o]||y1)(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",ia,n,e)}drawHaloShape(t,e){const n=this.getHaloStyle(t);this.upsert("halo",ni,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",ni,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))})}}Va.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 Va{constructor(t){super(ur({style:Fs.defaultStyleProps},t))}getKeyPath(t){const[e,n]=this.getEndpoints(t),{controlPoints:i,curvePosition:a,curveOffset:s}=t,o=this.getControlPoints(e,n,p3(a),g3(s),i);return g1(e,n,o)}getControlPoints(t,e,n,i,a){return(a==null?void 0:a.length)===2?a:[dv(t,e,n[0],i[0]),dv(t,e,n[1],i[1])]}}Fs.defaultStyleProps={curvePosition:.5,curveOffset:20};class Lu extends Fs{constructor(t){super(ur({style:Lu.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]]]}}Lu.defaultStyleProps={curvePosition:[.5,.5],curveOffset:[0,0]};class _u extends Fs{constructor(t){super(ur({style:_u.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=ir(this.ref),n=this.sourceNode.getIntersectPoint(e,!0),i=this.targetNode.getIntersectPoint(e);return[n,i]}toRadialCoordinate(t){const e=ir(this.ref),n=bn(t,e),i=Sy(ln(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)]]}}_u.defaultStyleProps={curvePosition:.5,curveOffset:20};class Du extends Fs{constructor(t){super(ur({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 Iu extends Va{constructor(t){super(ur({style:Iu.defaultStyleProps},t))}getKeyPath(t){const[e,n]=this.getEndpoints(t);return[["M",e[0],e[1]],["L",n[0],n[1]]]}}Iu.defaultStyleProps={};const P3={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:uu},xa=r=>`${Math.round(r[0])}|||${Math.round(r[1])}`;function zs(r,t){const e=n=>Math.round(n/t);return ie(r)?e(r):r.map(e)}function R3(r,t){const e=Math.abs(r-t);return e>Math.PI?2*Math.PI-e:e}function b1(r,t){const e=t[0]-r[0],n=t[1]-r[1];return!e&&!n?0:Math.atan2(n,e)}function x1(r,t,e,n){const i=b1(r,t),a=e[xa(r)],o=b1(a||n,r);return R3(o,i)}const L3=(r,t)=>{const{offset:e,gridSize:n}=t,i={};return r.forEach(a=>{if(!a||a.destroyed||!a.isVisible())return;const s=za(a.getRenderBounds(),e);for(let o=zs(s.min[0],n);o<=zs(s.max[0],n);o+=1)for(let l=zs(s.min[1],n);l<=zs(s.max[1],n);l+=1)i[`${o}|||${l}`]=!0}),i};function E1(r,t,e){return Math.min(...t.map(n=>e(r,n)))}function _3(r,t,e){let n=r[0],i=e(r[0],t);for(let a=0;a{if(!t)return[r];const{directionMap:i,offset:a}=n,s=za(t.getRenderBounds(),a),o=Object.keys(i).reduce((l,c)=>{if(e.includes(c)){const u=i[c],[h,d]=Ba(s),f=[r[0]+u.stepX*h,r[1]+u.stepY*d],v=_O(s);for(let g=0;gzs(l,n.gridSize))},D3=(r,t,e,n,i,a,s)=>{const o=[];let l=[a[0]===n[0]?n[0]:r[0]*s,a[1]===n[1]?n[1]:r[1]*s];o.unshift(l);let c=r,u=t[xa(c)];for(;u;){const f=u,v=c;x1(f,v,t,e)&&(l=[f[0]===v[0]?l[0]:f[0]*s,f[1]===v[1]?l[1]:f[1]*s],o.unshift(l)),u=t[xa(f)],c=f}const h=i.map(f=>[f[0]*s,f[1]*s]),d=_3(h,l,uu);return o.unshift(d),o};function I3(r,t,e,n){const i=Rs(r.getCenter()),a=Rs(t.getCenter()),s=Object.assign(P3,n),{gridSize:o}=s,l=s.enableObstacleAvoidance?e:[r,t],c=L3(l,s),u=zs(i,o),h=zs(a,o),d=w1(i,r,s.startDirections,s),f=w1(a,t,s.endDirections,s);d.forEach(I=>delete c[xa(I)]),f.forEach(I=>delete c[xa(I)]);const v={},g={},p={},y={},b={},E=new B3;for(let I=0;Ixa(I));let P=s.maximumLoops,R,F=1/0;for(const[I,V]of Object.entries(v))b[I]<=F&&(F=b[I],R=V);for(;Object.keys(v).length>0&&P>0;){const I=E.minId(!1);if(I)R=v[I];else break;const V=xa(R);if(O.includes(V))return D3(R,p,u,a,d,h,o);delete v[V],E.remove(V),g[V]=!0;for(const Y of Object.values(s.directionMap)){const J=Ne(R,[Y.stepX,Y.stepY]),$=xa(J);if(g[$])continue;const ot=x1(R,J,p,u);if(ot>s.maxAllowedDirectionChange||c[$])continue;v[$]||(v[$]=J);const ct=s.penalties[ot],ft=s.distFunc(R,J)+(isNaN(ct)?o:ct),Nt=y[V]+ft,Ot=y[$];Ot&&Nt>=Ot||(p[$]=R,y[$]=Nt,b[$]=Nt+E1(J,f,s.distFunc),E.add({id:$,value:b[$]}))}P-=1}return[]}class B3{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 Bu extends Va{constructor(t){super(ur({style:Bu.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=I3(n,i,l,e),o.length||(o=c1(a,s,n,i,t.controlPoints,{padding:e.offset}))}else e.type==="orth"&&(o=c1(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 fv(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}=_n(this.getGraphicStyle(t),"loop");return w3(a,i,l,c,u,e,n)}}Bu.defaultStyleProps={radius:0,controlPoints:[],router:!1};class Fu extends Va{constructor(t){super(ur({style:Fu.defaultStyleProps},t))}getKeyPath(t){const{curvePosition:e,curveOffset:n}=t,[i,a]=this.getEndpoints(t),s=t.controlPoint||dv(i,a,e,n);return m3(i,a,s)}}Fu.defaultStyleProps={curvePosition:.5,curveOffset:30};var F3=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;M1(n)&&(t[a=s||i]||(t[a]=ya(r.getShape("key").getBounds(),o)))}),t}function M1(r){const{r:t}=r;return!t||Number(t)===0}function Ua(r){return fo(r)?r:r.getPosition()}function W3(r,t,e,n){const i=A1(r,t,e,n),a=A1(t,r,n,e);return[i,a]}function A1(r,t,e,n){const i=mv(r);if(e)return i[e];const a=Object.values(i);if(a.length===0)return;const s=a.map(c=>Ua(c)),o=G3(t,n),[l]=NN(s,o);return a.find(c=>Ua(c)===l)}function G3(r,t){const e=mv(r);if(t)return[Ua(e[t])];const n=Object.values(e);return n.length>0?n.map(i=>Ua(i)):[r.getCenter()]}function T1(r,t){return gv(r)||Al(r)?yv(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 du(e,r.getBounds())}function yv(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 O1(r,t="bottom",e=0,n=0,i=!1){const a=t.split("-"),[s,o]=ya(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 V3(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 U3(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 Y3(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 H3(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 p7(r,t){return[[r/2,-t/2],[r/2,t/2],[-r/2,t/2],[-r/2,-t/2]]}function X3(r,t){return[[0,-t/2],[r/2,0],[0,t/2],[-r/2,0]]}function C1(r){return br(r,["style","visibility"])!=="hidden"}function K3(r,t){const{zIndex:e,transform:n,transformOrigin:i,visibility:a,cursor:s,clipPath:o,component:l}=t,c=F3(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 bv(r,t){"update"in r?r.update(t):r.attr(t)}function Q3(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 q3(r){bl(r,"__to_be_destroyed__",!0)}function Ol(r){return br(r,"__to_be_destroyed__",!1)}var J3=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 zu extends si{constructor(t,e){super(t,Object.assign({},zu.defaultOptions,e)),this.onCollapseExpand=n=>J3(this,void 0,void 0,function*(){if(!this.validate(n))return;const{target:i}=n;if(!z3(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;Kr(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()}}zu.defaultOptions={enable:!0,animation:!0,trigger:Bt.DBLCLICK,align:!0};var ju={},$3=function(r){return r=r||"g",ju[r]?ju[r]+=1:ju[r]=1,r+ju[r]},Zu=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};const tP="g6-create-edge-assist-edge-id",Wu="g6-create-edge-assist-node-id";class Gu extends si{constructor(t,e){super(t,Object.assign({},Gu.defaultOptions,e)),this.drop=n=>Zu(this,void 0,void 0,function*(){const{targetType:i}=n;["combo","node"].includes(i)&&this.source?yield this.handleCreateEdge(n):yield this.cancelEdge()}),this.handleCreateEdge=n=>Zu(this,void 0,void 0,function*(){var i,a,s;if(!this.validate(n))return;const{graph:o,canvas:l,batch:c,element:u}=this.context,{style:h}=this.options;if(this.source){this.createEdge(n),yield this.cancelEdge();return}c.startBatch(),l.setCursor("crosshair"),this.source=this.getSelectedNodeIDs([n.target.id])[0];const d=o.getElementData(this.source);o.addNodeData([{id:Wu,style:{visibility:"hidden",ports:[{key:"port-1",placement:[.5,.5]}],x:(i=d.style)===null||i===void 0?void 0:i.x,y:(a=d.style)===null||a===void 0?void 0:a.y}}]),o.addEdgeData([{id:tP,source:this.source,target:Wu,style:Object.assign({pointerEvents:"none"},h)}]),yield(s=u.draw({animation:!1}))===null||s===void 0?void 0:s.finished}),this.updateAssistEdge=n=>Zu(this,void 0,void 0,function*(){var i;if(!this.source)return;const{model:a,element:s}=this.context;a.translateNodeTo(Wu,[n.canvas.x,n.canvas.y]),yield(i=s.draw({animation:!1,silence:!0}))===null||i===void 0?void 0:i.finished}),this.createEdge=n=>{var i,a;const{graph:s}=this.context,{style:o,onFinish:l,onCreate:c}=this.options;if(((i=n.target)===null||i===void 0?void 0:i.id)===void 0||this.source===void 0)return;const h=(a=this.getSelectedNodeIDs([n.target.id]))===null||a===void 0?void 0:a[0],d=`${this.source}-${h}-${$3()}`,f=c({id:d,source:this.source,target:h,style:o});f&&(s.addEdgeData([f]),l(f))},this.cancelEdge=()=>Zu(this,void 0,void 0,function*(){var n;if(!this.source)return;const{graph:i,element:a,batch:s}=this.context;i.removeNodeData([Wu]),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(xi.CLICK,this.handleCreateEdge),t.on(Cs.CLICK,this.handleCreateEdge),t.on(va.CLICK,this.cancelEdge),t.on(Hc.CLICK,this.cancelEdge)):(t.on(xi.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(xi.CLICK,this.handleCreateEdge),t.off(Cs.CLICK,this.handleCreateEdge),t.off(va.CLICK,this.cancelEdge),t.off(Hc.CLICK,this.cancelEdge),t.off(xi.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()}}Gu.defaultOptions={animation:!0,enable:!0,style:{},trigger:"drag",onCreate:r=>r,onFinish:()=>{}};function eP(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=eP,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 Vu extends si{constructor(t,e){super(t,Object.assign({},Vu.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||Gn.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(zn(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 N1(this,void 0,void 0,function*(){if(!this.validate(e))return;const{sensitivity:n}=this.options,i=n*-1;yield this.translate(Di(t,i),this.options.animation),this.invokeOnFinish()})}translate(t,e){return N1(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();return My([t,e],n)}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]=ai(this.options.range),h=[s*o,a*l,s*c,a*u],d=za(Pf(n.getCanvasCenter()),h),f=ln(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()}}Vu.defaultOptions={enable:r=>"targetType"in r?r.targetType==="canvas":!0,sensitivity:10,direction:"both",range:1/0};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 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=>k1(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,dn);c&&At(c)===o&&a.refreshComboData(o),a.setParent(l,o,dn)}),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(va.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]=ln([+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}clampByRotation([t,e]){const n=this.context.graph.getRotation();return My([t,e],n)}moveElement(t,e){return k1(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,this.clampByRotation(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=_n(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 nP="*",rP=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 Yu(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)&&Yu(a,t,e,n))return!0;return!1}const P1=()=>!0;class iP{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||P1,n=t.edgeFilter||P1;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];xv([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];Yu(this.getNode(t),new Set,e,i)}}class Un extends Uu{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 Yu(this.getNode(e),new Set,n,a)}bfsTree(e,n,i){const a=s=>this.getChildren(s,i);return xv([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 xv([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 Yu(this.getNode(e),new Set,n,a)}clone(){const e=this.getAllNodes().map(a=>H0(Bo({},a),{data:Bo({},a.data)})),n=this.getAllEdges().map(a=>H0(Bo({},a),{data:Bo({},a.data)})),i=new Un({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 iP(Bo({graph:this},e))}}class Hu{constructor(t,e){this.context=t,this.options=e||{}}}var aP=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())})},sP=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 cP(r,t){class e extends Hu{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 Xu(l)}}}execute(i,a){return aP(this,void 0,void 0,function*(){return Xu(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(Xu(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=sP(f,["data","style","combo"]),E={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(E.data,{x:p.x}),p!=null&&p.y&&Object.assign(E.data,{y:p.y}),p!=null&&p.z&&Object.assign(E.data,{z:p.z}),E}),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 Un({nodes:[...l,...h],edges:u});return t.model.model.hasTreeStructure(dn)&&(d.attachTreeStructure(dn),l.forEach(f=>{const v=t.model.model.getParent(f.id,dn);v&&d.hasNode(v.id)&&d.setParent(f.id,v.id,dn)})),d}}return e}function Ev(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 R1(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 uP=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 hP 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):(Xr.warn("DragElementForce only works with d3-force or d3-force-3d layout"),!1):!1}moveElement(t,e){return uP(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&&Ev(n,"setFixedPosition",t[a],[...Ne([+s,+o],this.clampByRotation(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&&R1(e,"simulation").alphaTarget(.3).restart(),this.context.graph.getNodeData(this.target).forEach(n=>{const{x:i=0,y:a=0}=n.style||{};e&&Ev(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&&R1(t,"simulation").alphaTarget(0),!this.options.fixed&&this.context.graph.getNodeData(this.target).forEach(e=>{t&&Ev(t,"setFixedPosition",At(e),[null,null,null])})}}var L1=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.isZoomEvent=n=>!!(n.data&&"scale"in n.data),this.relatedEdgeToUpdate=new Set,this.zoom=this.context.graph.getZoom(),this.fixElementSize=n=>L1(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=ek(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=>L1(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()}}Ku.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 dP=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 Qu extends si{constructor(t,e){super(t,Object.assign({},Qu.defaultOptions,e)),this.focus=n=>dP(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()}}Qu.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=yy(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?Dy(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 fP extends yl{onPointerDown(t){if(!super.validate(t)||!super.isKeydown()||this.points)return;const{canvas:e,graph:n}=this.context;this.pathShape=new ni({id:"g6-lasso-select",style:this.options.style}),e.appendChild(this.pathShape),this.points=[fu(t,n)]}onPointerMove(t){var e;if(!this.points)return;const{immediately:n,mode:i}=this.options;this.points.push(fu(t,this.context.graph)),(e=this.pathShape)===null||e===void 0||e.setAttribute("d",QN(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 Ju extends si{constructor(t,e){super(t,Object.assign({},Ju.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()}}Ju.defaultOptions={enable:!0,debounce:200,shapes:r=>r==="node"};var _1=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.onWheel=n=>_1(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(),zn(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=Di(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]=ai(this.options.range),h=[s*o,a*l,s*c,a*u],d=za(Pf(n.getCanvasCenter()),h),f=ln(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 _1(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()}}$u.defaultOptions={enable:!0,sensitivity:1,preventDefault:!0,range:1/0};var D1=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 th extends si{constructor(t,e){super(t,Object.assign({},th.defaultOptions,e)),this.zoom=(n,i,a)=>D1(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=()=>D1(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()}}th.defaultOptions={animation:{duration:200},enable:!0,sensitivity:1,trigger:[],preventDefault:!0};var eh=S(13722);const vP=(r,t)=>{if(r!=="next"&&r!=="prev")return t},I1=r=>{r.prev.next=r.next,r.next.prev=r.prev,delete r.next,delete r.prev};class gP{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 I1(e),e}enqueue(t){const e=this.shortcut;t.prev&&t.next&&I1(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,vP)),n=n==null?void 0:n.prev;return`[${t.join(", ")}]`}}class pP extends gP{}const mP=()=>1,yP=(r,t)=>{var e;if(r.getAllNodes().length<=1)return[];const n=xP(r,t||mP);return(e=bP(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()},bP=(r,t,e)=>{let n=[];const i=t[t.length-1],a=t[0];let s;for(;r.getAllNodes().length;){for(;s=a.dequeue();)wv(r,t,e,s);for(;s=i.dequeue();)wv(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(wv(r,t,e,s,!0));break}}}return n},wv=(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,Sv(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,Sv(t,e,Object.assign({v:h.id},h.data))}),r.removeNode(n.v)),i?o:void 0},xP=(r,t)=>{const e=new Un;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 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r.getAllNodes().forEach(a=>i(a.id)),t},SP=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})})}})},MP=(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},AP=r=>{const t=new Un;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},B1=r=>{const t=new Un;return r.getAllNodes().forEach(e=>{r.getChildren(e.id).length||t.addNode(Object.assign({},e))}),r.getAllEdges().forEach(e=>{t.addEdge(e)}),t},F1=(r,t)=>r==null?void 0:r.reduce((e,n,i)=>(e[n]=t[i],e),{}),b7=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},x7=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 F1(t.map(n=>n.id),e)},z1=(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=Z1(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;nMP(r.getNode(i).data.order,r.getNode(a).data.order));return t},TP=r=>{const t=r.getAllNodes().filter(n=>n.data.rank!==void 0).map(n=>n.data.rank),e=Math.min(...t);r.getAllNodes().forEach(n=>{n.data.hasOwnProperty("rank")&&e!==1/0&&(n.data.rank-=e)})},OP=(r,t=0)=>{const e=r.getAllNodes(),n=e.filter(o=>o.data.rank!==void 0).map(o=>o.data.rank),i=Math.min(...n),a=[];e.forEach(o=>{const l=(o.data.rank||0)-i;a[l]||(a[l]=[]),a[l].push(o.id)});let s=0;for(let o=0;o{const u=r.getNode(c);u&&(u.data.rank=u.data.rank||0,u.data.rank+=s)}))}},j1=(r,t,e,n)=>{const i={width:0,height:0};return ie(e)&&ie(n)&&(i.rank=e,i.order=n),bo(r,"border",i,t)},Z1=r=>{let t;return r.getAllNodes().forEach(e=>{const n=e.data.rank;n!==void 0&&(t===void 0||n>t)&&(t=n)}),t||(t=0),t},CP=(r,t)=>{const e={lhs:[],rhs:[]};return r==null||r.forEach(n=>{t(n)?e.lhs.push(n):e.rhs.push(n)}),e},Mv=(r,t)=>r.reduce((e,n)=>{const i=t(e),a=t(n);return i>a?n:e}),W1=(r,t,e,n,i,a)=>{n.includes(t.id)||(n.push(t.id),e||a.push(t.id),i(t.id).forEach(s=>W1(r,s,e,n,i,a)),e&&a.push(t.id))},G1=(r,t,e,n)=>{const i=Array.isArray(t)?t:[t],a=l=>n?r.getSuccessors(l):r.getNeighbors(l),s=[],o=[];return i.forEach(l=>{if(r.hasNode(l.id))W1(r,l,e==="post",o,a,s);else throw new Error(`Graph does not have node: ${l}`)}),s},NP=r=>{const t=e=>{const n=r.getChildren(e),i=r.getNode(e);if(n!=null&&n.length&&n.forEach(a=>t(a.id)),i.data.hasOwnProperty("minRank")){i.data.borderLeft=[],i.data.borderRight=[];for(let a=i.data.minRank,s=i.data.maxRank+1;at(e.id))},V1=(r,t,e,n,i,a)=>{const s={rank:a,borderType:t,width:0,height:0},o=i.data[t][a-1],l=bo(r,"border",s,e);i.data[t][a]=l,r.setParent(l,n),o&&r.addEdge({id:`e${Math.random()}`,source:o,target:l,data:{weight:1}})},kP=(r,t)=>{const e=t.toLowerCase();(e==="lr"||e==="rl")&&U1(r)},PP=(r,t)=>{const e=t.toLowerCase();(e==="bt"||e==="rl")&&RP(r),(e==="lr"||e==="rl")&&(LP(r),U1(r))},U1=r=>{r.getAllNodes().forEach(t=>{Y1(t)}),r.getAllEdges().forEach(t=>{Y1(t)})},Y1=r=>{const t=r.data.width;r.data.width=r.data.height,r.data.height=t},RP=r=>{r.getAllNodes().forEach(t=>{Av(t.data)}),r.getAllEdges().forEach(t=>{var e;(e=t.data.points)===null||e===void 0||e.forEach(n=>Av(n)),t.data.hasOwnProperty("y")&&Av(t.data)})},Av=r=>{r!=null&&r.y&&(r.y=-r.y)},LP=r=>{r.getAllNodes().forEach(t=>{Tv(t.data)}),r.getAllEdges().forEach(t=>{var e;(e=t.data.points)===null||e===void 0||e.forEach(n=>Tv(n)),t.data.hasOwnProperty("x")&&Tv(t.data)})},Tv=r=>{const t=r.x;r.x=r.y,r.y=t},_P=r=>{const t=bo(r,"root",{},"_root"),e=DP(r);let n=Math.max(...Object.values(e));Math.abs(n)===1/0&&(n=1);const i=n-1,a=2*i+1;r.getAllEdges().forEach(o=>{o.data.minlen*=a});const s=IP(r)+1;return r.getRoots().forEach(o=>{H1(r,t,a,s,i,e,o.id)}),{nestingRoot:t,nodeRankFactor:a}},H1=(r,t,e,n,i,a,s)=>{const o=r.getChildren(s);if(!(o!=null&&o.length)){s!==t&&r.addEdge({id:`e${Math.random()}`,source:t,target:s,data:{weight:0,minlen:e}});return}const l=j1(r,"_bt"),c=j1(r,"_bb"),u=r.getNode(s);r.setParent(l,s),u.data.borderTop=l,r.setParent(c,s),u.data.borderBottom=c,o==null||o.forEach(h=>{H1(r,t,e,n,i,a,h.id);const d=h.data.borderTop?h.data.borderTop:h.id,f=h.data.borderBottom?h.data.borderBottom:h.id,v=h.data.borderTop?n:2*n,g=d!==f?1:i-a[s]+1;r.addEdge({id:`e${Math.random()}`,source:l,target:d,data:{minlen:g,weight:v,nestingEdge:!0}}),r.addEdge({id:`e${Math.random()}`,source:f,target:c,data:{minlen:g,weight:v,nestingEdge:!0}})}),r.getParent(s)||r.addEdge({id:`e${Math.random()}`,source:t,target:l,data:{weight:0,minlen:i+a[s]}})},DP=r=>{const t={},e=(n,i)=>{const a=r.getChildren(n);a==null||a.forEach(s=>e(s.id,i+1)),t[n]=i};return r.getRoots().forEach(n=>e(n.id,1)),t},IP=r=>{let t=0;return r.getAllEdges().forEach(e=>{t+=e.data.weight}),t},BP=(r,t)=>{t&&r.removeNode(t),r.getAllEdges().forEach(e=>{e.data.nestingEdge&&r.removeEdge(e.id)})},FP="edge",X1="edge-label",zP=(r,t)=>{r.getAllEdges().forEach(e=>jP(r,e,t))},jP=(r,t,e)=>{let n=t.source,i=r.getNode(n).data.rank;const a=t.target,s=r.getNode(a).data.rank,o=t.data.labelRank;if(s===i+1)return;r.removeEdge(t.id);let l,c,u;for(u=0,++i;i{t.forEach(e=>{let n=r.getNode(e);const{data:i}=n,a=i.originalEdge;let s;a&&r.addEdge(a);let o=e;for(;n.data.dummy;)s=r.getSuccessors(o)[0],r.removeNode(o),a.data.points.push({x:n.data.x,y:n.data.y}),n.data.dummy===X1&&(a.data.x=n.data.x,a.data.y=n.data.y,a.data.width=n.data.width,a.data.height=n.data.height),o=s.id,n=r.getNode(o)})},WP=(r,t,e)=>{const n={};let i;e==null||e.forEach(a=>{let s=r.getParent(a),o,l;for(;s;){if(o=r.getParent(s.id),o?(l=n[o.id],n[o.id]=s.id):(l=i,i=s.id),l&&l!==s.id){t.hasNode(l)||t.addNode({id:l,data:{}}),t.hasNode(s.id)||t.addNode({id:s.id,data:{}}),t.hasEdge(`e${l}-${s.id}`)||t.addEdge({id:`e${l}-${s.id}`,source:l,target:s.id,data:{}});return}s=o}})},GP=(r,t,e)=>{const n=VP(r),i=new Un({tree:[{id:n,children:[],data:{}}]});return r.getAllNodes().forEach(a=>{const 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window!="undefined"?window.innerWidth:s,O=!o&&typeof window!="undefined"?window.innerHeight:o,P=a||[E/2,O/2];if(!(y!=null&&y.length)||y.length===1)return Zs(e,t,P);const R=[];let F,I=0;Ea(g)?F=Math.max(g[0],g[1]):fe(g)?(F=-1/0,y.forEach(mt=>{const yt=Math.max(...Pl(g(mt)));yt>F&&(F=yt)})):F=g,Ea(p)?I=Math.max(p[0],p[1]):ie(p)&&(I=p),y.forEach(mt=>{const yt=ci(mt);R.push(yt);let Rt=F;const{data:jt}=yt;Ea(jt.size)?Rt=Math.max(jt.size[0],jt.size[1]):ie(jt.size)?Rt=jt.size:zn(jt.size)&&(Rt=Math.max(jt.size.width,jt.size.height)),F=Math.max(F,Rt),fe(p)&&(I=Math.max(p(mt),I))});const V={};R.forEach((mt,yt)=>{V[mt.id]=yt});let Y=l;(!Ge(Y)||R[0].data[Y]===void 0)&&(Y="degree"),Y==="degree"?R.sort((mt,yt)=>e.getDegree(yt.id,"both")-e.getDegree(mt.id,"both")):R.sort((mt,yt)=>yt.data[Y]-mt.data[Y]);const J=R[0],$=(c||(Y==="degree"?e.getDegree(J.id,"both"):J.data[Y]))/4,ot=[{nodes:[]}];let ct=ot[0];R.forEach(mt=>{if(ct.nodes.length>0){const yt=Math.abs(Y==="degree"?e.getDegree(ct.nodes[0].id,"both")-e.getDegree(mt.id,"both"):ct.nodes[0].data[Y]-mt.data[Y]);$&&yt>=$&&(ct={nodes:[]},ot.push(ct))}ct.nodes.push(mt)});let ft=F+I;if(!f){const mt=ot.length>0&&ot[0].nodes.length>1,Rt=(Math.min(E,O)/2-ft)/(ot.length+(mt?1:0));ft=Math.min(ft,Rt)}let Nt=0;if(ot.forEach(mt=>{const yt=u===void 0?2*Math.PI-2*Math.PI/mt.nodes.length:u;if(mt.dTheta=yt/Math.max(1,mt.nodes.length-1),mt.nodes.length>1&&f){const Rt=Math.cos(mt.dTheta)-Math.cos(0),jt=Math.sin(mt.dTheta)-Math.sin(0),Xt=Math.sqrt(ft*ft/(Rt*Rt+jt*jt));Nt=Math.max(Xt,Nt)}mt.r=Nt,Nt+=ft}),d){let mt=0,yt=0;for(let Rt=0;Rt{jt===0&&(yt=Rt.r||0),Rt.r=yt,yt+=mt})}return ot.forEach(mt=>{const yt=mt.dTheta||0,Rt=mt.r||0;mt.nodes.forEach((jt,Xt)=>{const ee=v+(h?1:-1)*yt*Xt;jt.data.x=P[0]+Rt*Math.cos(ee),jt.data.y=P[1]+Rt*Math.sin(ee)})}),t&&R.forEach(mt=>e.mergeNodeData(mt.id,{x:mt.data.x,y:mt.data.y})),{nodes:R,edges:b}})}}var Lv=S(14301),aL=S(7695);const sL=.81,_v=.1;function oL(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,Lv.Z)(o,u=>u.x,u=>u.y):(0,aL.Z)(o,u=>u.x,u=>u.y,u=>u.z)).visitAfter(lL),c=new Map;return o.forEach(u=>{c.set(u.id,u),uL(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 lL(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||_v,u=a.y-r.y||_v,h=a.z-r.z||_v,d=[c,u,h],f=l-t;let v=0;for(let y=0;ycL(n,i,a,s,o,r,e))}const hL={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 xb{constructor(t={}){this.options=t,this.id="force",this.timeInterval=0,this.judgingDistance=0,this.running=!1,this.options=Object.assign(Object.assign({},hL),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((I,V)=>Object.assign(Object.assign({},I),{data:Object.assign(Object.assign({},I.data),{x:ie(I.data.x)?I.data.x:Math.random()*c,y:ie(I.data.y)?I.data.y:Math.random()*u,z:ie(I.data.z)?I.data.z:Math.random()*Math.sqrt(c*u),size:h(I)||30,mass:d(I),nodeStrength:f(I)})})),y=s.map(I=>Object.assign(Object.assign({},I),{data:Object.assign(Object.assign({},I.data),{edgeStrength:v(I),linkDistance:g(I,e.getNode(I.source),e.getNode(I.target))})}));if(!(a!=null&&a.length))return this.lastResult={nodes:[],edges:s},{nodes:[],edges:s};const b={};a.forEach((I,V)=>{b[I.id]={x:0,y:0,z:0}});const E=new Un({nodes:p,edges:y});this.formatCentripetal(o,E);const{maxIteration:O,minMovement:P,onTick:R}=o;if(this.lastLayoutNodes=p,this.lastLayoutEdges=y,this.lastAssign=t,this.lastGraph=e,this.lastCalcGraph=E,this.lastOptions=o,this.lastVelMap=b,typeof window=="undefined")return;let F=0;return new Promise(I=>{this.timeInterval=window.setInterval(()=>{(!a||!this.running)&&I({nodes:Dv(e,p),edges:s}),this.runOneStep(E,e,F,b,o),this.updatePosition(e,E,b,o),t&&p.forEach(V=>e.mergeNodeData(V.id,{x:V.data.x,y:V.data.y,z:l===3?V.data.z:void 0})),R==null||R({nodes:Dv(e,p),edges:s}),F++,(F>=O||this.judgingDistance{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=kv(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=Eb(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:E}=d[y.id]||{};return(E==null?void 0:E.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 E;if(b===1){const{sameTypeLeaves:O=[]}=d[y.id]||{};O.length===1?E=void 0:O.length>1&&(E=wb(O))}else E=void 0;return{x:E==null?void 0:E.x,y:E==null?void 0:E.y,z:E==null?void 0:E.z}}})),l&&c){d||(d=Eb(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 E=u.filter(O=>O.data[c]===b).map(O=>e.getNode(O.id));y[b]=wb(E)}),t.centripetalOptions=Object.assign(h,{single:b=>t.clusterNodeStrength(b),leaf:b=>t.clusterNodeStrength(b),others:b=>t.clusterNodeStrength(b),center:b=>{const E=y[b.data[c]];return{x:E==null?void 0:E.x,y:E==null?void 0:E.y,z:E==null?void 0:E.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;oL(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 g=Math.sqrt(d*d+f*f+v*v);if(g{const{id:g,data:p}=v,{mass:y,x:b,y:E,z:O}=p,P=e.getNode(g);let R=0,F=0,I=0,V=d;const Y=t.getDegree(g,"in"),J=t.getDegree(g,"out"),$=t.getDegree(g,"both"),ot=a==null?void 0:a(P,$);if(ot){const[ct,ft,Nt]=ot;R=b-ct,F=E-ft,V=Nt}else 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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 p=Math.sqrt(f*f+v*v+g*g);switch(a){case"max":this.judgingDistancep&&(this.judgingDistance=p);break;default:c=c+p;break}}),(!a||a==="mean")&&(this.judgingDistance=c/l.length)}}const Eb=(r,t)=>{const e=r.getAllNodes();if(!(e!=null&&e.length))return{};const n={};return e.forEach((i,a)=>{r.getDegree(i.id,"both")===1&&(n[i.id]=dL(r,"leaf",i,t))}),n},dL=(r,t,e,n)=>{const i=r.getDegree(e.id,"in"),a=r.getDegree(e.id,"out");let s=e,o=[];i===0?(s=r.getSuccessors(e.id)[0],o=r.getNeighbors(s.id)):a===0&&(s=r.getPredecessors(e.id)[0],o=r.getNeighbors(s.id)),o=o.filter(c=>r.getDegree(c.id,"in")===0||r.getDegree(c.id,"out")===0);const l=fL(r,t,n,e,o);return{coreNode:s,siblingLeaves:o,sameTypeLeaves:l}},fL=(r,t,e,n,i)=>{const a=n.data[e]||"";let s=(i==null?void 0:i.filter(o=>o.data[e]===a))||[];return t==="leaf"&&(s=s.filter(o=>r.getDegree(o.id,"in")===0||r.getDegree(o.id,"out")===0)),s},wb=r=>{const t={x:0,y:0};r.forEach(n=>{const{x:i,y:a}=n.data;t.x+=i||0,t.y+=a||0});const e=r.length||1;return{x:t.x/e,y:t.y/e}},Dv=(r,t)=>t.map(e=>{const{id:n,data:i}=e,a=r.getNode(n);return Object.assign(Object.assign({},a),{data:Object.assign(Object.assign({},a.data),{x:i.x,y:i.y,z:i.z})})});var We=S(88618);const 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r,t,e,n,i=ar(-30),a,s=1,o=1/0,l=.81;function c(f){var v,g=r.length,p=(0,Lv.Z)(r,NL,kL).visitAfter(h);for(n=f,v=0;v=o)return;(f.data!==t||f.next)&&(y===0&&(y=Xa(e),O+=y*y),b===0&&(b=Xa(e),O+=b*b),Od.index){var J=f-I.x-I.vx,$=v-I.y-I.vy,ot=J*J+$*$;otf+Y||Rv+Y||Fc.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 LL()}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())})),Pb(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)),Pb(s,Object.entries(t[a]))}else e.force(a,null)}),e}}const Pb=(r,t)=>t.reduce((e,[n,i])=>!e[n]||i===void 0?e:e[n].call(r,i),r);var Rb=S(92546),GL=S.n(Rb);class nh{constructor(t){this.id="dagre",this.options={},Object.assign(this.options,nh.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 Rb.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})}),GL().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})}}nh.defaultOptions={};class Fv{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 Fv(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:E}=y;return 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Promise(E=>{this.timeInterval=window.setInterval(()=>{if(!this.running){E({nodes:g,edges:v});return}this.runOneStep(p,y,i),t&&g.forEach(({id:O,data:P})=>e.mergeNodeData(O,{x:P.x,y:P.y,z:a===3?P.z:void 0})),d==null||d({nodes:g,edges:v}),b++,b>=h&&(window.clearInterval(this.timeInterval),E({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:P}=O,R=e[P[h]];ie(P.x)&&(R.cx+=P.x),ie(P.y)&&(R.cy+=P.y),R.count++});for(const O in e)e[O].cx/=e[O].count,e[O].cy/=e[O].count;const E=d||o;g.forEach((O,P)=>{const{id:R,data:F}=O;if(!ie(F.x)||!ie(F.y))return;const I=e[F[h]],V=Math.sqrt((F.x-I.cx)*(F.x-I.cx)+(F.y-I.cy)*(F.y-I.cy)),Y=y*E;b[R].x-=Y*(F.x-I.cx)/V,b[R].y-=Y*(F.y-I.cy)/V})}g.forEach((E,O)=>{const{id:P,data:R}=E;if(!ie(R.x)||!ie(R.y))return;const F=.01*y*o;b[P].x-=F*(R.x-l[0]),b[P].y-=F*(R.y-l[1]),i===3&&(b[P].z-=F*(R.z-l[2]))}),g.forEach((E,O)=>{const{id:P,data:R}=E;if(ie(R.fx)&&ie(R.fy)){R.x=R.fx,R.y=R.fy,i===3&&(R.z=R.fz);return}if(!ie(R.x)||!ie(R.y))return;const F=Math.sqrt(b[P].x*b[P].x+b[P].y*b[P].y+(i===3?b[P].z*b[P].z:0));if(F>0){const I=Math.min(v*(c/HL),F);t.mergeNodeData(P,{x:R.x+b[P].x/F*I,y:R.y+b[P].y/F*I,z:i===3?R.z+b[P].z/F*I: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 KL={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 QL{constructor(t={}){this.options=t,this.id="grid",this.options=Object.assign(Object.assign({},KL),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(),E=y==null?void 0:y.length;if(!E||E===1)return Zs(e,t,a);const O=y.map(ft=>ci(ft));p!=="id"&&(!Ge(p)||O[0].data[p]===void 0)&&(p="degree"),p==="degree"?O.sort((ft,Nt)=>e.getDegree(Nt.id,"both")-e.getDegree(ft.id,"both")):p==="id"?O.sort((ft,Nt)=>ie(Nt.id)&&ie(ft.id)?Nt.id-ft.id:`${ft.id}`.localeCompare(`${Nt.id}`)):O.sort((ft,Nt)=>Nt.data[p]-ft.data[p]);const P=!f&&typeof window!="undefined"?window.innerWidth:f,R=!v&&typeof window!="undefined"?window.innerHeight:v,F=E,I={rows:c,cols:u};if(c!=null&&u!=null)I.rows=c,I.cols=u;else if(c!=null&&u==null)I.rows=c,I.cols=Math.ceil(F/I.rows);else if(c==null&&u!=null)I.cols=u,I.rows=Math.ceil(F/I.cols);else{const ft=Math.sqrt(F*R/P);I.rows=Math.round(ft),I.cols=Math.round(P/R*ft)}if(I.rows=Math.max(I.rows,1),I.cols=Math.max(I.cols,1),I.cols*I.rows>F){const ft=rh(I),Nt=ih(I);(ft-1)*Nt>=F?rh(I,ft-1):(Nt-1)*ft>=F&&ih(I,Nt-1)}else for(;I.cols*I.rows=F?ih(I,Nt+1):rh(I,ft+1)}let V=s?0:P/I.cols,Y=s?0:R/I.rows;if(l||h){const ft=js(10,h),Nt=Nv(30,d,!1);O.forEach(Ot=>{(!Ot.data.x||!Ot.data.y)&&(Ot.data.x=0,Ot.data.y=0);const mt=e.getNode(Ot.id),[yt,Rt]=Pl(Nt(mt)||30),jt=ft!==void 0?ft(Ot):o,Xt=yt+jt,ee=Rt+jt;V=Math.max(V,Xt),Y=Math.max(Y,ee)})}const J={},$={row:0,col:0},ot={};for(let ft=0;ft{e.mergeNodeData(ft.id,{x:ft.data.x,y:ft.data.y})}),ct})}}const rh=(r,t)=>{let e;const n=r.rows||5,i=r.cols||5;return t==null?e=Math.min(n,i):Math.min(n,i)===r.rows?r.rows=t:r.cols=t,e},ih=(r,t)=>{let e;const n=r.rows||5,i=r.cols||5;return t==null?e=Math.max(n,i):Math.max(n,i)===r.rows?r.rows=t:r.cols=t,e},zv=(r,t)=>r[`c-${t.row}-${t.col}`]||!1,Lb=(r,t)=>r[`c-${t.row}-${t.col}`]=!0,_b=(r,t)=>{const e=r.cols||5;t.col++,t.col>=e&&(t.col=0,t.row++)},qL=(r,t,e,n,i,a,s,o)=>{let l,c;const u=i[r.id];if(u)l=u.col*e+e/2+t[0],c=u.row*n+n/2+t[1];else{for(;zv(o,s);)_b(a,s);l=s.col*e+e/2+t[0],c=s.row*n+n/2+t[1],Lb(o,s),_b(a,s)}r.data.x=l,r.data.y=c},JL=(r,t,e)=>{try{const n=Ha.mul(Ha.pow(t,2),-.5),i=n.mean("row"),a=n.mean("column"),s=n.mean();n.add(s).subRowVector(i).subColumnVector(a);const o=new Sb(n),l=Ha.sqrt(o.diagonalMatrix).diagonal();return o.leftSingularVectors.toJSON().map(c=>Ha.mul([c],[l]).toJSON()[0].splice(0,r))}catch(n){const i=[];for(let a=0;a{const e=Object.assign(Object.assign({},t_),t),{positions:n,iterations:i,width:a,k:s,speed:o=100,strictRadial:l,focusIdx:c,radii:u=[],nodeSizeFunc:h}=e,d=r.getAllNodes(),f=[],v=a/10;for(let g=0;g{f[y]={x:0,y:0}}),n_(d,n,f,s,u,h),r_(n,f,o,l,c,v,a,u);return n},n_=(r,t,e,n,i,a)=>{t.forEach((s,o)=>{e[o]={x:0,y:0},t.forEach((l,c)=>{if(o===c||i[o]!==i[c])return;let u=s.x-l.x,h=s.y-l.y,d=Math.sqrt(u*u+h*h);if(d===0){d=1;const f=o>c?1:-1;u=.01*f,h=.01*f}if(d{const l=a||s/10;return n&&t.forEach((c,u)=>{const h=r[u].x-r[i].x,d=r[u].y-r[i].y,f=Math.sqrt(h*h+d*d);let v=d/f,g=-h/f;const p=Math.sqrt(c.x*c.x+c.y*c.y);let y=Math.acos((v*c.x+g*c.y)/p);y>Math.PI/2&&(y-=Math.PI/2,v*=-1,g*=-1);const b=Math.cos(y)*p;c.x=v*b,c.y=g*b}),r.forEach((c,u)=>{if(u===i)return;const h=Math.sqrt(t[u].x*t[u].x+t[u].y*t[u].y);if(h>0&&u!==i){const d=Math.min(l*(e/$L),h);if(c.x+=t[u].x/h*d,c.y+=t[u].y/h*d,n){let f=c.x-r[i].x,v=c.y-r[i].y;const 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e=0;const n=lh(r,new dr(t.x,t.y,t.x2,t.y));e+=n.state===Dn.POINT?1:0;const i=lh(r,new dr(t.x,t.y,t.x,t.y2));e+=i.state===Dn.POINT?1:0;const a=lh(r,new dr(t.x,t.y2,t.x2,t.y2));e+=a.state===Dn.POINT?1:0;const s=lh(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 Or{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 Or(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 Or(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 e=Math.min(this.x,t.x),n=Math.min(this.y,t.y),i=Math.max(this.x2,t.x),a=Math.max(this.y2,t.y);this.x=e,this.y=n,this.width=i-e,this.height=a-n}toString(){return`Rectangle[x=${this.x}, y=${this.y}, w=${this.width}, h=${this.height}]`}draw(t){t.rect(this.x,this.y,this.width,this.height)}containsPt(t,e){return t>=this.x&&t<=this.x2&&e>=this.y&&e<=this.y2}get area(){return this.width*this.height}intersects(t){return this.area<=0||t.width<=0||t.height<=0?!1:t.x+t.width>this.x&&t.y+t.height>this.y&&t.x=this.width?this.width-1:t}boundY(t){return t=this.height?this.height-1:t}scaleX(t){return this.boundX(Math.floor((t-this.pixelX)/this.pixelGroup))}scaleY(t){return this.boundY(Math.floor((t-this.pixelY)/this.pixelGroup))}scale(t){const e=this.scaleX(t.x),n=this.scaleY(t.y),i=this.boundX(Math.ceil((t.x+t.width-this.pixelX)/this.pixelGroup)),a=this.boundY(Math.ceil((t.y+t.height-this.pixelY)/this.pixelGroup)),s=i-e,o=a-n;return new Or(e,n,s,o)}invertScaleX(t){return 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 Or(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 s=0;se?"black":"white",t.fillRect(i,a,1,1)}t.restore()}}}function jb(r,t){const e=n=>({x:n.x-t,y:n.y-t,width:n.width+2*t,height:n.height+2*t});return Array.isArray(r)?r.map(e):e(r)}function Zb(r,t,e){return Wb(Object.assign(Bb(r),{distSquare:(n,i)=>Uv(r.x1,r.y1,r.x2,r.y2,n,i)}),t,e)}function Wb(r,t,e){const n=jb(r,e),i=t.scale(n),a=t.createSub(i,n);return k_(a,t,e,(s,o)=>r.distSquare(s,o)),a}function k_(r,t,e,n){const i=e*e;for(let a=0;a{const o=i.slice(0,s);return L_(t,a,o,e,n)}).flat()}function L_(r,t,e,n,i){const a=Sn(t.cx,t.cy),s=I_(a,e,r);if(s==null)return[];const o=new dr(a.x,a.y,s.cx,s.cy),l=__(o,r,n,i);return D_(l,r)}function __(r,t,e,n){const i=[],a=[];a.push(r);let s=!0;for(let o=0;o0;){const l=a.pop(),c=Gb(t,l),u=c?C_(l,c):null;if(!c||!u||u.count!==2){s||i.push(l);continue}let h=n,d=dh(c,h,u,!0),f=Qa(d,a)||Qa(d,i),v=hh(d,t);for(;!f&&v&&h>=1;)h/=1.5,d=dh(c,h,u,!0),f=Qa(d,a)||Qa(d,i),v=hh(d,t);if(d&&!f&&!v&&(a.push(new dr(l.x1,l.y1,d.x,d.y)),a.push(new dr(d.x,d.y,l.x2,l.y2)),s=!0),s)continue;h=n,d=dh(c,h,u,!1);let g=Qa(d,a)||Qa(d,i);for(v=hh(d,t);!g&&v&&h>=1;)h/=1.5,d=dh(c,h,u,!1),g=Qa(d,a)||Qa(d,i),v=hh(d,t);d&&!g&&(a.push(new dr(l.x1,l.y1,d.x,d.y)),a.push(new dr(d.x,d.y,l.x2,l.y2)),s=!0),s||i.push(l)}for(;a.length>0;)i.push(a.pop());return i}function D_(r,t){const e=[];for(;r.length>0;){const n=r.pop();if(r.length===0){e.push(n);break}const i=r.pop(),a=new dr(n.x1,n.y1,i.x2,i.y2);Gb(t,a)?(e.push(n),r.push(i)):r.push(a)}return e}function I_(r,t,e){let n=Number.POSITIVE_INFINITY;return t.reduce((i,a)=>{const s=Ka(r.x,r.y,a.cx,a.cy);if(s>n)return i;const o=new dr(r.x,r.y,a.cx,a.cy),l=F_(e,o);return s*(l+1)*(l+1){t+=n.cx,e+=n.cy}),t/=r.length,e/=r.length,r.map(n=>{const i=t-n.cx,a=e-n.cy,s=i*i+a*a;return[n,s]}).sort((n,i)=>n[1]-i[1]).map(n=>n[0])}function hh(r,t){return t.some(e=>e.containsPt(r.x,r.y))}function Qa(r,t){return t.some(e=>!!(Ib(e.x1,e.y1,r.x,r.y,.001)||Ib(e.x2,e.y2,r.x,r.y,.001)))}function Gb(r,t){let e=Number.POSITIVE_INFINITY,n=null;for(const i of r){if(!zb(i,t))continue;const a=O_(i,t);a>=0&&azb(n,t)&&T_(n,t)?e+1:e,0)}function dh(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 j_(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 this.points.length}toString(t=1/0){const e=this.points;if(e.length===0)return"";const n=typeof t=="function"?t:A_(t);let i="M";for(const a of e)i+=`${n(a.x)},${n(a.y)} L`;return i=i.slice(0,-1),this.closed&&(i+=" Z"),i}draw(t){const e=this.points;if(e.length!==0){t.beginPath(),t.moveTo(e[0].x,e[0].y);for(const n of e)t.lineTo(n.x,n.y);this.closed&&t.closePath()}}sample(t){return G_(t)(this)}simplify(t){return j_(t)(this)}bSplines(t){return W_(t)(this)}apply(t){return t(this)}containsElements(t){const e=N_(this.points);return e?t.every(n=>e.containsPt(n.cx,n.cy)&&this.withinArea(n.cx,n.cy)):!1}withinArea(t,e){if(this.length===0)return!1;let n=0;const i=this.points[0],a=new dr(i.x,i.y,i.x,i.y);for(let s=1;st?u+h:u}function a(l,c){let u=Rl;return u=i(l,c,u,1),u=i(l+1,c,u,2),u=i(l,c+1,u,4),u=i(l+1,c+1,u,8),Number.isNaN(u)?-1:u}let s=fh;function o(l,c){let u=l,h=c,d=r.invertScaleX(u),f=r.invertScaleY(h);for(let v=0;vVb(n.raw,t));return e<0?!1:(this.members.splice(e,1),this.dirty.add(zi.MEMBERS),!0)}removeNonMember(t){const e=this.nonMembers.findIndex(n=>Vb(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)?uh.from(e):Or.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=R_(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=H_(i,c),h=Math.max(this.o.edgeR1,this.o.nodeR1)+this.o.morphBuffer,d=Or.from(jb(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 Map,o=c=>{if(c.area){const u=`${c.obj.width}x${c.obj.height}x${c.obj instanceof Or?"R":"C"}`;s.set(u,c.area)}},l=c=>{if(c.area)return;const u=`${c.obj.width}x${c.obj.height}x${c.obj instanceof Or?"R":"C"}`;if(s.has(u)){const d=s.get(u);c.area=this.potentialArea.copy(d,{x:c.obj.x-this.o.nodeR1,y:c.obj.y-this.o.nodeR1});return}const h=c.obj instanceof Or?P_(c.obj,this.potentialArea,this.o.nodeR1):Wb(c.obj,this.potentialArea,this.o.nodeR1);c.area=h,s.set(u,h)};this.members.forEach(o),this.nonMembers.forEach(o),this.members.forEach(l),this.nonMembers.forEach(c=>{this.activeRegion.intersects(c.obj)?l(c):c.area=null}),this.edges.forEach(c=>{c.area||(c.area=Zb(c.obj,this.potentialArea,this.o.edgeR1))}),this.virtualEdges.forEach(c=>{c.area||(c.area=Zb(c.obj,this.potentialArea,this.o.edgeR1))})}drawMembers(t){for(const e of this.members)e.obj.draw(t)}drawNonMembers(t){for(const e of this.nonMembers)e.obj.draw(t)}drawEdges(t){for(const e of this.edges)e.obj.draw(t)}drawPotentialArea(t,e=!0){this.potentialArea.draw(t,e)}compute(){if(this.members.length===0)return new Gs([]);this.dirty.size>0&&this.update();const{o:t,potentialArea:e}=this,n=this.members.map(o=>o.area),i=this.virtualEdges.concat(this.edges).map(o=>o.area),a=this.nonMembers.filter(o=>o.area!=null).map(o=>o.area),s=this.members.map(o=>o.obj);return Y_(e,n,i,a,o=>o.containsElements(s),t)}}function Y_(r,t,e,n,i,a={}){const s=Object.assign({},gh,a);let o=s.threshold,l=s.memberInfluenceFactor,c=s.edgeInfluenceFactor,u=s.nonMemberInfluenceFactor;const h=(s.nodeR0-s.nodeR1)*(s.nodeR0-s.nodeR1),d=(s.edgeR0-s.edgeR1)*(s.edgeR0-s.edgeR1);for(let f=0;f0)u*=.8;else break}return new Gs([])}function H_(r,t){if(r.length===0)return new Or(0,0,0,0);const e=Or.from(r[0]);for(const n of r)e.add(n);for(const n of t)e.add(Bb(n));return e}function aj(r,t=[],e=[],n={}){if(r.length===0)return new Gs([]);const i=new Xv(n);return i.pushMember(...r),i.pushNonMember(...t),i.pushEdge(...e),i.compute()}var X_=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{style:n,bubbleSetOptions:i}=this.parseOptions();Wn(this.bubbleSetOptions,i)||this.init(),this.bubbleSetOptions=Object.assign({},i);const a=Object.assign(Object.assign({},n),{d:this.getPath()});this.shape?this.shape.update(a):(this.shape=new wl({style:a}),this.context.canvas.appendChild(this.shape))},this.updateBubbleSetsPath=n=>{if(!this.shape)return;const i=At(n.data);[...this.options.members,...this.options.avoidMembers].includes(i)&&this.shape.update(Object.assign(Object.assign({},this.parseOptions().style),{d:this.getPath(i)}))},this.getPath=n=>{const{graph:i}=this.context,a=this.options.members,s=[...this.members.keys()],o=this.options.avoidMembers,l=[...this.avoidMembers.keys()];if(!n&&Wn(a,s)&&Wn(o,l))return this.path;const{enter:c=[],exit:u=[]}=ja(s,a,p=>p),{enter:h=[],exit:d=[]}=ja(l,o,p=>p);n&&(u.push(n),c.push(n));const f=(p,y,b)=>{p.forEach(E=>{const O=b?this.members:this.avoidMembers,P=b?"pushMember":"pushNonMember",R=b?"removeMember":"removeNonMember";if(y){let F;i.getElementType(E)==="edge"?([F]=Q_(i,E),this.bubbleSets.pushEdge(F)):([F]=K_(i,E),this.bubbleSets[P](F)),O.set(E,F)}else{const F=O.get(E);F&&(i.getElementType(E)==="edge"?this.bubbleSets.removeEdge(F):this.bubbleSets[R](F),O.delete(E))}})};f(u,!1,!0),f(c,!0,!0),f(d,!1,!1),f(h,!0,!1);const g=this.bubbleSets.compute().sample(8).simplify(0).bSplines().simplify(0);return this.path=Yy(g.points.map(yr)),this.path},this.bindEvents(),this.bubbleSets=new Xv(this.options)}bindEvents(){this.context.graph.on(Kt.AFTER_RENDER,this.drawBubbleSets),this.context.graph.on(Kt.AFTER_ELEMENT_UPDATE,this.updateBubbleSetsPath)}init(){this.bubbleSets=new Xv(this.options),this.members=new Map,this.avoidMembers=new Map}parseOptions(){const t=this.options,{type:e,key:n,members:i,avoidMembers:a}=t,s=X_(t,["type","key","members","avoidMembers"]),o=Object.keys(s).reduce((l,c)=>(c in gh?l.bubbleSetOptions[c]=s[c]:l.style[c]=s[c],l),{style:{},bubbleSetOptions:{}});return Object.assign({type:e,key:n,members:i,avoidMembers:a},o)}addMember(t){const e=Array.isArray(t)?t:[t];e.some(n=>this.options.avoidMembers.includes(n))&&(this.options.avoidMembers=this.options.avoidMembers.filter(n=>!e.includes(n))),this.options.members=[...new Set([...this.options.members,...e])],this.drawBubbleSets()}removeMember(t){const e=Array.isArray(t)?t:[t];this.options.members=this.options.members.filter(n=>!e.includes(n)),this.drawBubbleSets()}updateMember(t){this.options.members=fe(t)?t(this.options.members):t,this.drawBubbleSets()}getMember(){return this.options.members}addAvoidMember(t){const e=Array.isArray(t)?t:[t];e.some(n=>this.options.members.includes(n))&&(this.options.members=this.options.members.filter(n=>!e.includes(n))),this.options.avoidMembers=[...new Set([...this.options.avoidMembers,...e])],this.drawBubbleSets()}removeAvoidMember(t){const e=Array.isArray(t)?t:[t];this.options.avoidMembers.some(n=>e.includes(n))&&(this.options.avoidMembers=this.options.avoidMembers.filter(n=>!e.includes(n)),this.drawBubbleSets())}updateAvoidMember(t){this.options.avoidMembers=Array.isArray(t)?t:[t],this.drawBubbleSets()}getAvoidMember(){return this.options.avoidMembers}destroy(){this.context.graph.off(Kt.AFTER_RENDER,this.drawBubbleSets),this.context.graph.off(Kt.AFTER_ELEMENT_UPDATE,this.updateBubbleSetsPath),this.shape.destroy(),super.destroy()}}ph.defaultOptions=Object.assign({members:[],avoidMembers:[],fill:"lightblue",fillOpacity:.2,stroke:"blue",strokeOpacity:.2},gh);const K_=(r,t)=>(Array.isArray(t)?t:[t]).map(n=>{const i=r.getElementRenderBounds(n);return new Or(i.min[0],i.min[1],ta(i),ea(i))}),Q_=(r,t)=>(Array.isArray(t)?t:[t]).map(n=>{const i=r.getEdgeData(n),a=r.getElementPosition(i.source),s=r.getElementPosition(i.target);return dr.from({x1:a[0],y1:a[1],x2:s[0],y2:s[1]})});class sj extends null{constructor(t,e){super(t,e),this.setOptions=n=>{const i={cameraType:"setType",near:"setNear",far:"setFar",fov:"setFov",aspect:"setAspect",projectionMode:"setProjectionMode",distance:"setDistance",minDistance:"setMinDistance",maxDistance:"setMaxDistance",roll:"setRoll",elevation:"setElevation",azimuth:"setAzimuth"},a=(s,o)=>{switch(s){case"projectionMode":return o==="perspective"?1:0;case"cameraType":return{orbiting:0,exploring:1,tracking:2}[o];case"aspect":return typeof o=="number"?o:this.getCanvasAspect();default:return o}};Object.entries(i).forEach(([s,o])=>{const l=n[s];if(l!==void 0){const c=a(s,l);this.context.canvas.getCamera()[o](c)}})},this.bindEvents()}update(t){this.setOptions(t),super.update(t)}bindEvents(){this.context.graph.once(GraphEvent.BEFORE_DRAW,()=>this.setOptions(this.options))}getCanvasAspect(){const[t,e]=this.context.viewport.getCanvasSize();return t/e}}function q_(r){return` +
      + ${r.map(t=>`
    • ${t.name}
      • `).join("")} +
    + `}const J_=` + .g6-contextmenu { + font-size: 12px; + background-color: rgba(255, 255, 255, 0.96); + border-radius: 4px; + overflow: hidden; + box-shadow: rgba(0, 0, 0, 0.12) 0px 6px 12px 0px; + transition: visibility 0.2s cubic-bezier(0.23, 1, 0.32, 1) 0s, left 0.4s cubic-bezier(0.23, 1, 0.32, 1) 0s, top 0.4s cubic-bezier(0.23, 1, 0.32, 1) 0s; + } + + .g6-contextmenu-ul { + max-width: 256px; + min-width: 96px; + list-style: none; + padding: 0; + margin: 0; + } + + .g6-contextmenu-li { + padding: 8px 12px; + cursor: pointer; + user-select: none; + } + + .g6-contextmenu-li:hover { + background-color: #f5f5f5; + cursor: pointer; + } +`;var Ub=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};class mh extends hr{constructor(t,e){super(t,Object.assign({},mh.defaultOptions,e)),this.targetElement=null,this.onTriggerEvent=n=>{var i;(i=n.preventDefault)===null||i===void 0||i.call(n),this.show(n)},this.onMenuItemClick=n=>{const{onClick:i,trigger:a}=this.options;if(n.target instanceof HTMLElement&&n.target.className.includes("g6-contextmenu-li")){const s=n.target.getAttribute("value");i==null||i(s,n.target,this.targetElement),this.hide()}a!=="click"&&this.hide()},this.initElement(),this.update(e)}initElement(){this.$element=So("contextmenu",!1,{zIndex:"99"});const{className:t}=this.options;t&&this.$element.classList.add(t),this.context.canvas.getContainer().appendChild(this.$element),Vv("g6-contextmenu-css","style",{},J_,document.head)}show(t){return Ub(this,void 0,void 0,function*(){const{enable:e,offset:n}=this.options;if(typeof e=="function"&&!e(t)||!e){this.hide();return}const i=yield this.getDOMContent(t);i instanceof HTMLElement?(this.$element.innerHTML="",this.$element.appendChild(i)):this.$element.innerHTML=i;const a=this.context.graph.getCanvas().getContainer().getBoundingClientRect();this.$element.style.left=`${t.client.x-a.left+n[0]}px`,this.$element.style.top=`${t.client.y-a.top+n[1]}px`,this.$element.style.display="block",this.targetElement=t.target})}hide(){this.$element.style.display="none",this.targetElement=null}update(t){this.unbindEvents(),super.update(t),this.bindEvents()}destroy(){this.unbindEvents(),super.destroy(),this.$element.remove()}getDOMContent(t){return Ub(this,void 0,void 0,function*(){const{getContent:e,getItems:n}=this.options;return n?q_(yield n(t)):yield e(t)})}bindEvents(){const{graph:t}=this.context,{trigger:e}=this.options;t.on(`canvas:${e}`,this.onTriggerEvent),t.on(`node:${e}`,this.onTriggerEvent),t.on(`edge:${e}`,this.onTriggerEvent),t.on(`combo:${e}`,this.onTriggerEvent),document.addEventListener("click",this.onMenuItemClick)}unbindEvents(){const{graph:t}=this.context,{trigger:e}=this.options;t.off(`canvas:${e}`,this.onTriggerEvent),t.off(`node:${e}`,this.onTriggerEvent),t.off(`edge:${e}`,this.onTriggerEvent),t.off(`combo:${e}`,this.onTriggerEvent),document.removeEventListener("click",this.onMenuItemClick)}}mh.defaultOptions={trigger:"contextmenu",offset:[4,4],loadingContent:'
    Loading...
    ',getContent:()=>"It is a empty context menu.",enable:()=>!0};class yh extends hr{constructor(t,e){super(t,Object.assign({},yh.defaultOptions,e)),this.edgeBundles={},this.edgePoints={},this.onBundle=()=>{const{model:n,element:i}=this.context,a=n.getEdgeData();this.divideEdges(this.options.divisions);const{cycles:s,iterRate:o,divRate:l}=this.options;let{lambda:c,divisions:u,iterations:h}=this.options;for(let d=0;d{var p;if(g.source===g.target)return;const y=At(g);v[y]=this.getEdgeForces(g,u,c);for(let b=0;b{const f=At(d),v=i.getElement(f);v==null||v.update({d:fv(this.edgePoints[f])})})},this.bindEvents()}get nodeMap(){const t=this.context.model.getNodeData();return Object.fromEntries(t.map(e=>[At(e),Rs(ir(e))]))}divideEdges(t){this.context.model.getEdgeData().forEach(n=>{var i;const a=At(n);(i=this.edgePoints)[a]||(i[a]=[]);const s=this.nodeMap[n.source],o=this.nodeMap[n.target];if(t===1)this.edgePoints[a].push(s),this.edgePoints[a].push(Ii(Ne(s,o),2)),this.edgePoints[a].push(o);else{const c=(this.edgePoints[a].length===0?bn(s,o):rD(this.edgePoints[a]))/(t+1);let u=c;const h=[s];for(let d=1;du;){const p=u/g,y=Ne(f,Di(ln(v,f),p));h.push(y),g-=u,u=c}u-=g}h.push(o),this.edgePoints[a]=h}})}getVectorPosition(t){const e=this.nodeMap[t.source],n=this.nodeMap[t.target],[i,a]=ln(n,e),s=bn(e,n);return{source:e,target:n,vx:i,vy:a,length:s}}measureEdgeCompatibility(t,e){const n=this.getVectorPosition(t),i=this.getVectorPosition(e),a=$_(n,i),s=tD(n,i),o=eD(n,i),l=nD(n,i);return a*s*o*l}getEdgeBundles(){const t={},e=this.options.bundleThreshold,n=this.context.model.getEdgeData();return n.forEach((i,a)=>{n.forEach((s,o)=>{var l,c;if(o<=a)return;this.measureEdgeCompatibility(i,s)>=e&&(t[l=At(i)]||(t[l]=[]),t[At(i)].push(s),t[c=At(s)]||(t[c]=[]),t[At(s)].push(i))})}),t}getSpringForce(t,e){const{pre:n,cur:i,next:a}=t;return Di(ln(Ne(n,a),Di(i,2)),e)}getElectrostaticForce(t,e){ra(this.edgeBundles)&&(this.edgeBundles=this.getEdgeBundles());const n=this.edgeBundles[At(e)];let i=[0,0];return n==null||n.forEach(a=>{const s=this.edgePoints[At(a)][t],o=this.edgePoints[At(e)][t],l=ln(s,o),c=bn(s,o);i=Ne(i,Di(l,1/c))}),i}getEdgeForces(t,e,n){const i=this.nodeMap[t.source],a=this.nodeMap[t.target],s=this.options.K/(bn(i,a)*(e+1)),o=[[0,0]],l=At(t);for(let c=1;cMath.abs(wN([r.vx,r.vy],[t.vx,t.vy])/(r.length*t.length)),tD=(r,t)=>{const e=(r.length+t.length)/2;return 2/(e/Math.min(r.length,t.length)+Math.max(r.length,t.length)/e)},eD=(r,t)=>{const e=(r.length+t.length)/2,n=Ii(Ne(r.source,r.target),2),i=Ii(Ne(t.source,t.target),2);return e/(e+bn(n,i))},Yb=(r,t)=>{if(t.source[0]===t.target[0])return[t.source[0],r[1]];if(t.source[1]===t.target[1])return[r[0],t.source[1]];const e=(t.source[1]-t.target[1])/(t.source[0]-t.target[0]),n=(e*e*t.source[0]+e*(r[1]-t.source[1])+r[0])/(e*e+1),i=e*(n-t.source[0])+t.source[1];return[n,i]},Hb=(r,t)=>{const e=Yb(t.source,r),n=Yb(t.target,r),i=Ii(Ne(e,n),2),a=Ii(Ne(r.source,r.target),2);return bn(e,n)===0?0:Math.max(0,1-2*bn(a,i)/bn(e,n))},nD=(r,t)=>Math.min(Hb(r,t),Hb(t,r)),rD=r=>{let t=0;for(let e=1;e{if(this.options.trigger==="drag"&&this.isLensOn)return;const i=yr(n.canvas);this.renderLens(i),this.renderFocusElements()},this.renderLens=n=>{const i=Object.assign({},iD,this.options.style);this.isLensOn||(this.lens=new Ds({style:i}),this.canvas.appendChild(this.lens)),Object.assign(i,Bi(n),{size:this.r*2}),this.lens.update(i)},this.getFilterData=()=>{const{filter:n}=this.options,{model:i}=this.context,a=i.getData();if(!n)return a;const{nodes:s,edges:o,combos:l}=a;return{nodes:s.filter(c=>n(At(c),"node")),edges:o.filter(c=>n(At(c),"edge")),combos:l.filter(c=>n(At(c),"combo"))}},this.getFocusElements=n=>{const{nodes:i,edges:a}=this.getFilterData(),s=i.filter(c=>bn(ir(c),n)At(c)),l=a.filter(c=>{const{source:u,target:h}=c,d=o.includes(u),f=o.includes(h);switch(this.options.nodeType){case"both":return d&&f;case"either":return d!==f;case"source":return d&&!f;case"target":return!d&&f;default:return!1}});return{nodes:s,edges:l}},this.renderFocusElements=()=>{const{element:n,graph:i}=this.context;if(!this.isLensOn)return;const a=this.lens.getCenter(),{nodes:s,edges:o}=this.getFocusElements(a),l=new Set,c=u=>{const h=At(u);l.add(h);const d=n.getElement(h);if(!d)return;const f=this.shapes.get(h)||d.cloneNode();f.setPosition(d.getPosition()),f.id=d.id,this.shapes.has(h)?Object.entries(d.attributes).forEach(([p,y])=>{f.style[p]!==y&&(f.style[p]=y)}):(this.canvas.appendChild(f),this.shapes.set(h,f));const v=i.getElementType(h),g=this.getElementStyle(v,u);f.update(g)};s.forEach(c),o.forEach(c),this.shapes.forEach((u,h)=>{l.has(h)||(u.destroy(),this.shapes.delete(h))})},this.scaleRByWheel=n=>{var i;this.options.preventDefault&&n.preventDefault();const{clientX:a,clientY:s,deltaX:o,deltaY:l}=n,{graph:c,canvas:u}=this.context,h=c.getCanvasByClient([a,s]),d=(i=this.lens)===null||i===void 0?void 0:i.getCenter();if(!this.isLensOn||bn(h,d)>this.r)return;const{maxR:f,minR:v}=this.options,g=o+l>0?1/(1-Xb):1-Xb,p=Math.min(...u.getSize())/2;this.r=Math.max(v||0,Math.min(f||p,this.r*g)),this.renderLens(d),this.renderFocusElements()},this.isLensDragging=!1,this.onDragStart=n=>{var i;const a=yr(n.canvas),s=(i=this.lens)===null||i===void 0?void 0:i.getCenter();!this.isLensOn||bn(a,s)>this.r||(this.isLensDragging=!0)},this.onDrag=n=>{if(!this.isLensDragging)return;const i=yr(n.canvas);this.renderLens(i),this.renderFocusElements()},this.onDragEnd=()=>{this.isLensDragging=!1},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}getElementStyle(t,e){const n=t==="node"?this.options.nodeStyle:this.options.edgeStyle;return typeof n=="function"?n(e):n}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var t;const{graph:e}=this.context,{trigger:n,scaleRBy:i}=this.options,a=e.getCanvas().getLayer();["click","drag"].includes(n)&&a.addEventListener(Bt.CLICK,this.onEdgeFilter),n==="pointermove"?a.addEventListener(Bt.POINTER_MOVE,this.onEdgeFilter):n==="drag"&&(a.addEventListener(Bt.DRAG_START,this.onDragStart),a.addEventListener(Bt.DRAG,this.onDrag),a.addEventListener(Bt.DRAG_END,this.onDragEnd)),i==="wheel"&&((t=this.graphDom)===null||t===void 0||t.addEventListener(Bt.WHEEL,this.scaleRByWheel,{passive:!1}))}unbindEvents(){var t;const{graph:e}=this.context,{trigger:n,scaleRBy:i}=this.options,a=e.getCanvas().getLayer();["click","drag"].includes(n)&&a.removeEventListener(Bt.CLICK,this.onEdgeFilter),n==="pointermove"?a.removeEventListener(Bt.POINTER_MOVE,this.onEdgeFilter):n==="drag"&&(a.removeEventListener(Bt.DRAG_START,this.onDragStart),a.removeEventListener(Bt.DRAG,this.onDrag),a.removeEventListener(Bt.DRAG_END,this.onDragEnd)),i==="wheel"&&((t=this.graphDom)===null||t===void 0||t.removeEventListener(Bt.WHEEL,this.scaleRByWheel))}update(t){var e;this.unbindEvents(),super.update(t),this.r=(e=t.r)!==null&&e!==void 0?e:this.r,this.bindEvents()}destroy(){this.unbindEvents(),this.isLensOn&&this.lens.destroy(),this.shapes.forEach((t,e)=>{t.destroy(),this.shapes.delete(e)}),super.destroy()}}bh.defaultOptions={trigger:"pointermove",r:60,nodeType:"both",filter:()=>!0,style:{lineWidth:2},nodeStyle:{label:!1},edgeStyle:{label:!0},scaleRBy:"wheel",preventDefault:!0};const aD={fill:"#ccc",fillOpacity:.1,lineWidth:2,stroke:"#000",strokeOpacity:.8,labelFontSize:12},Kb=.05,Qb=.1;class xh extends hr{constructor(t,e){super(t,Object.assign({},xh.defaultOptions,e)),this.r=this.options.r,this.d=this.options.d,this.onCreateFisheye=n=>{if(this.options.trigger==="drag"&&this.isLensOn)return;const i=yr(n.canvas);this.onMagnify(i)},this.onMagnify=n=>{n.some(isNaN)||(this.renderLens(n),this.renderFocusElements())},this.renderLens=n=>{const i=Object.assign({},aD,this.options.style);this.isLensOn||(this.lens=new Ds({style:i}),this.canvas.appendChild(this.lens)),Object.assign(i,Bi(n),{size:this.r*2,label:this.options.showDPercent,labelText:this.getDPercent()}),this.lens.update(i)},this.getDPercent=()=>{const{minD:n,maxD:i}=this.options;return`${Math.round((this.d-n)/(i-n)*100)}%`},this.prevMagnifiedStyleMap=new Map,this.prevOriginStyleMap=new Map,this.renderFocusElements=()=>{if(!this.isLensOn)return;const{graph:n}=this.context,i=this.lens.getCenter(),a=(this.d+1)*this.r,s=new Map,o=new Map;n.getNodeData().forEach(c=>{const u=ir(c),h=bn(u,i);if(h>this.r)return;const d=a*h/(this.d*h+this.r),[f,v]=u,[g,p]=i,y=(f-g)/h,b=(v-p)/h,E=[g+d*y,p+d*b],O=At(c),P=this.getNodeStyle(c),R=Bs(n.getElementRenderStyle(O),Object.keys(P));s.set(O,Object.assign(Object.assign({},Bi(E)),P)),o.set(O,Object.assign(Object.assign({},Bi(u)),R))}),this.updateStyle(s,o)},this.getNodeStyle=n=>{const{nodeStyle:i}=this.options;return typeof i=="function"?i(n):i},this.updateStyle=(n,i)=>{const{graph:a,element:s}=this.context,{enter:o,exit:l,keep:c}=ja(Array.from(this.prevMagnifiedStyleMap.keys()),Array.from(n.keys()),d=>d),u=new Set,h=(d,f)=>{const v=s.getElement(d);v==null||v.update(f),a.getRelatedEdgesData(d).forEach(g=>{u.add(At(g))})};[...o,...c].forEach(d=>{h(d,n.get(d))}),l.forEach(d=>{h(d,this.prevOriginStyleMap.get(d)),this.prevOriginStyleMap.delete(d)}),u.forEach(d=>{const f=s.getElement(d);f==null||f.update({})}),this.prevMagnifiedStyleMap=n,i.forEach((d,f)=>{this.prevOriginStyleMap.has(f)||this.prevOriginStyleMap.set(f,d)})},this.isWheelValid=n=>{if(this.options.preventDefault&&n.preventDefault(),!this.isLensOn)return!1;const{clientX:i,clientY:a}=n,s=this.context.graph.getCanvasByClient([i,a]),o=this.lens.getCenter();return!(bn(s,o)>this.r)},this.scaleR=n=>{const{maxR:i,minR:a}=this.options,s=n?1/(1-Kb):1-Kb,o=Math.min(...this.context.canvas.getSize())/2;this.r=Math.max(a||0,Math.min(i||o,this.r*s))},this.scaleD=n=>{const{maxD:i,minD:a}=this.options,s=n?this.d+Qb:this.d-Qb;this.d=Math.max(a,Math.min(i,s))},this.scaleRByWheel=n=>{if(!this.isWheelValid(n))return;const{deltaX:i,deltaY:a}=n;this.scaleR(i+a>0);const s=this.lens.getCenter();this.onMagnify(s)},this.scaleDByWheel=n=>{if(!this.isWheelValid(n))return;const{deltaX:i,deltaY:a}=n;this.scaleD(i+a>0);const s=this.lens.getCenter();this.onMagnify(s)},this.isDragValid=n=>{if(this.options.preventDefault&&n.preventDefault(),!this.isLensOn)return!1;const i=yr(n.canvas),a=this.lens.getCenter();return!(bn(i,a)>this.r)},this.isLensDragging=!1,this.onDragStart=n=>{this.isDragValid(n)&&(this.isLensDragging=!0)},this.onDrag=n=>{if(!this.isLensDragging)return;const i=yr(n.canvas);this.onMagnify(i)},this.onDragEnd=()=>{this.isLensDragging=!1},this.scaleRByDrag=n=>{if(!this.isLensDragging)return;const{dx:i,dy:a}=n;this.scaleR(i-a>0);const s=this.lens.getCenter();this.onMagnify(s)},this.scaleDByDrag=n=>{if(!this.isLensDragging)return;const{dx:i,dy:a}=n;this.scaleD(i-a>0);const s=this.lens.getCenter();this.onMagnify(s)},this.bindEvents()}get canvas(){return this.context.canvas.getLayer("transient")}get isLensOn(){return this.lens&&!this.lens.destroyed}get graphDom(){return this.context.graph.getCanvas().getContextService().getDomElement()}bindEvents(){var t;const{graph:e}=this.context,{trigger:n,scaleRBy:i,scaleDBy:a}=this.options,s=e.getCanvas().getLayer();if(["click","drag"].includes(n)&&s.addEventListener(Bt.CLICK,this.onCreateFisheye),n==="pointermove"&&s.addEventListener(Bt.POINTER_MOVE,this.onCreateFisheye),n==="drag"||i==="drag"||a==="drag"){s.addEventListener(Bt.DRAG_START,this.onDragStart),s.addEventListener(Bt.DRAG_END,this.onDragEnd);const o=n==="drag"?this.onDrag:i==="drag"?this.scaleRByDrag:this.scaleDByDrag;s.addEventListener(Bt.DRAG,o)}if(i==="wheel"||a==="wheel"){const o=i==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(t=this.graphDom)===null||t===void 0||t.addEventListener(Bt.WHEEL,o,{passive:!1})}}unbindEvents(){var t;const{graph:e}=this.context,{trigger:n,scaleRBy:i,scaleDBy:a}=this.options,s=e.getCanvas().getLayer();if(["click","drag"].includes(n)&&s.removeEventListener(Bt.CLICK,this.onCreateFisheye),n==="pointermove"&&s.removeEventListener(Bt.POINTER_MOVE,this.onCreateFisheye),n==="drag"||i==="drag"||a==="drag"){s.removeEventListener(Bt.DRAG_START,this.onDragStart),s.removeEventListener(Bt.DRAG_END,this.onDragEnd);const o=n==="drag"?this.onDrag:i==="drag"?this.scaleRByDrag:this.scaleDByDrag;s.removeEventListener(Bt.DRAG,o)}if(i==="wheel"||a==="wheel"){const o=i==="wheel"?this.scaleRByWheel:this.scaleDByWheel;(t=this.graphDom)===null||t===void 0||t.removeEventListener(Bt.WHEEL,o)}}update(t){var e,n;this.unbindEvents(),super.update(t),this.r=(e=t.r)!==null&&e!==void 0?e:this.r,this.d=(n=t.d)!==null&&n!==void 0?n:this.d,this.bindEvents()}destroy(){var t;this.unbindEvents(),this.isLensOn&&((t=this.lens)===null||t===void 0||t.destroy()),this.prevMagnifiedStyleMap.clear(),this.prevOriginStyleMap.clear(),super.destroy()}}xh.defaultOptions={trigger:"pointermove",r:120,d:1.5,maxD:5,minD:0,showDPercent:!0,style:{},nodeStyle:{label:!0},preventDefault:!0};class Eh extends hr{constructor(t,e){super(t,Object.assign({},Eh.defaultOptions,e)),this.$el=this.context.canvas.getContainer(),this.graphSize=[0,0],this.onFullscreenChange=()=>{var n,i,a,s;const o=!!document.fullscreenElement;this.options.autoFit&&this.setGraphSize(o),o?(i=(n=this.options).onEnter)===null||i===void 0||i.call(n):(s=(a=this.options).onExit)===null||s===void 0||s.call(a)},this.shortcut=new go(t.graph),this.bindEvents(),this.style=document.createElement("style"),document.head.appendChild(this.style),this.style.innerHTML=` + :not(:root):fullscreen::backdrop { + background: transparent; + } + `}bindEvents(){this.unbindEvents(),this.shortcut.unbindAll();const{request:t=[],exit:e=[]}=this.options.trigger;this.shortcut.bind(t,this.request),this.shortcut.bind(e,this.exit),["webkitfullscreenchange","mozfullscreenchange","fullscreenchange","MSFullscreenChange"].forEach(i=>{document.addEventListener(i,this.onFullscreenChange,!1)})}unbindEvents(){this.shortcut.unbindAll(),["webkitfullscreenchange","mozfullscreenchange","fullscreenchange","MSFullscreenChange"].forEach(e=>{document.removeEventListener(e,this.onFullscreenChange,!1)})}setGraphSize(t=!0){var e,n;let i,a;t?(i=((e=globalThis.screen)===null||e===void 0?void 0:e.width)||0,a=((n=globalThis.screen)===null||n===void 0?void 0:n.height)||0,this.graphSize=this.context.graph.getSize()):[i,a]=this.graphSize,this.context.graph.setSize(i,a),this.context.graph.render()}request(){document.fullscreenElement||!sD()||this.$el.requestFullscreen().catch(t=>{Xr.warn(`Error attempting to enable full-screen: ${t.message} (${t.name})`)})}exit(){document.fullscreenElement&&document.exitFullscreen()}update(t){this.unbindEvents(),super.update(t),this.bindEvents()}destroy(){this.exit(),this.style.remove(),super.destroy()}}Eh.defaultOptions={trigger:{},autoFit:!0};function sD(){return document.fullscreenEnabled||Reflect.get(document,"webkitFullscreenEnabled")||Reflect.get(document,"mozFullscreenEnabled")||Reflect.get(document,"msFullscreenEnabled")}class wh extends hr{constructor(t,e){super(t,Object.assign({},wh.defaultOptions,e)),this.$element=So("grid-line",!0),this.offset=[0,0],this.currentScale=1,this.followZoom=i=>{const{data:{scale:a,origin:s}}=i;if(!a||s===void 0&&this.context.viewport===void 0)return;const o=this.currentScale;this.currentScale=a;const l=a/o,c=Di(s||this.context.graph.getCanvasCenter(),1-l),u=this.baseSize*a,h=Di(this.offset,l),d=Yf(h,u),f=Ne(d,c);this.$element.style.backgroundSize=`${u}px ${u}px`,this.$element.style.backgroundPosition=`${f[0]}px ${f[1]}px`,this.offset=Yf(f,u)},this.followTranslate=i=>{if(!this.options.follow)return;const{data:{translate:a}}=i;a&&this.updateOffset(a)},this.onTransform=i=>{const a=this.parseFollow(this.options.follow);a.zoom&&this.followZoom(i),a.translate&&this.followTranslate(i)},this.context.canvas.getContainer().prepend(this.$element),this.baseSize=this.options.size,this.updateStyle(),this.bindEvents()}update(t){super.update(t),t.size!==void 0&&(this.baseSize=t.size),this.updateStyle()}bindEvents(){const{graph:t}=this.context;t.on(Kt.AFTER_TRANSFORM,this.onTransform)}updateStyle(){const{stroke:t,lineWidth:e,border:n,borderLineWidth:i,borderStroke:a,borderStyle:s}=this.options,o=this.baseSize*this.currentScale;Object.assign(this.$element.style,{border:n?`${i}px ${s} ${a}`:"none",backgroundImage:`linear-gradient(${t} ${e}px, transparent ${e}px), linear-gradient(90deg, ${t} ${e}px, transparent ${e}px)`,backgroundSize:`${o}px ${o}px`,backgroundRepeat:"repeat"})}updateOffset(t){const e=this.baseSize*this.currentScale;this.offset=Yf(Ne(this.offset,t),e),this.$element.style.backgroundPosition=`${this.offset[0]}px ${this.offset[1]}px`}parseFollow(t){var e,n;return Uo(t)?{translate:t,zoom:t}:{translate:(e=t==null?void 0:t.translate)!==null&&e!==void 0?e:!1,zoom:(n=t==null?void 0:t.zoom)!==null&&n!==void 0?n:!1}}destroy(){this.context.graph.off(Kt.AFTER_TRANSFORM,this.onTransform),this.$element.remove(),super.destroy()}}wh.defaultOptions={border:!0,borderLineWidth:1,borderStroke:"#eee",borderStyle:"solid",lineWidth:1,size:20,stroke:"#eee"};function Kv(r){const t={Added:new Map,Updated:new Map,Removed:new Map};return r.forEach(e=>{const{type:n,value:i}=e,a=At(i);if(n==="NodeAdded"||n==="EdgeAdded"||n==="ComboAdded")t.Added.set(a,e);else if(n==="NodeUpdated"||n==="EdgeUpdated"||n==="ComboUpdated")if(t.Added.has(a))t.Added.set(a,{type:n.replace("Updated","Added"),value:i});else if(t.Updated.has(a)){const{original:s}=t.Updated.get(a);t.Updated.set(a,{type:n,value:i,original:s})}else t.Removed.has(a)||t.Updated.set(a,e);else(n==="NodeRemoved"||n==="EdgeRemoved"||n==="ComboRemoved")&&(t.Added.has(a)?t.Added.delete(a):(t.Updated.has(a)&&t.Updated.delete(a),t.Removed.set(a,e)))}),[...Array.from(t.Added.values()),...Array.from(t.Updated.values()),...Array.from(t.Removed.values())]}function qb(r){const{NodeAdded:t=[],NodeUpdated:e=[],NodeRemoved:n=[],EdgeAdded:i=[],EdgeUpdated:a=[],EdgeRemoved:s=[],ComboAdded:o=[],ComboUpdated:l=[],ComboRemoved:c=[]}=Xc(r,u=>u.type);return{add:{nodes:t,edges:i,combos:o},update:{nodes:e,edges:a,combos:l},remove:{nodes:n,edges:s,combos:c}}}function Jb(r,t){for(const e in r)zn(r[e])&&!Array.isArray(r[e])&&r[e]!==null?(t[e]||(t[e]={}),Jb(r[e],t[e])):t[e]===void 0&&(t[e]=hl(e))}function oD(r,t=!1,e){const n={animation:t,current:{add:{},update:{},remove:{}},original:{add:{},update:{},remove:{}}},{add:i,update:a,remove:s}=qb(Kv(r));return["nodes","edges","combos"].forEach(o=>{a[o]&&a[o].forEach(l=>{var c,u;const h=Object.assign({},l.value);let d=Object.assign({},l.original);if(e){const f=e.graph.getElementType(At(l.original)),v=f==="edge"?"stroke":"fill",g=e.element.getElementComputedStyle(f,l.original);d=Object.assign(Object.assign({},l.original),{style:Object.assign({[v]:g[v]},l.original.style)})}Jb(h,d),(c=n.current.update)[o]||(c[o]=[]),n.current.update[o].push(h),(u=n.original.update)[o]||(u[o]=[]),n.original.update[o].push(d)}),i[o]&&i[o].forEach(l=>{var c,u;const h=Object.assign({},l.value);(c=n.current.add)[o]||(c[o]=[]),n.current.add[o].push(h),(u=n.original.remove)[o]||(u[o]=[]),n.original.remove[o].push(h)}),s[o]&&s[o].forEach(l=>{var c,u;const h=Object.assign({},l.value);(c=n.current.remove)[o]||(c[o]=[]),n.current.remove[o].push(h),(u=n.original.add)[o]||(u[o]=[]),n.original.add[o].push(h)})}),n}class Sh extends hr{constructor(t,e){super(t,Object.assign({},Sh.defaultOptions,e)),this.batchChanges=null,this.batchAnimation=!1,this.undoStack=[],this.redoStack=[],this.freezed=!1,this.executeCommand=(i,a=!0)=>{var s,o,l;this.freezed=!0,(o=(s=this.options).executeCommand)===null||o===void 0||o.call(s,i);const c=a?i.original:i.current;this.context.graph.addData(c.add),this.context.graph.updateData(c.update),this.context.graph.removeData(yy(c.remove,!1)),(l=this.context.element)===null||l===void 0||l.draw({silence:!0,animation:i.animation}),this.freezed=!1},this.addCommand=i=>{var a;if(!this.freezed){if(i.type===Kt.AFTER_DRAW){const{dataChanges:s=[],animation:o=!0}=i.data;if(!((a=this.context.batch)===null||a===void 0)&&a.isBatching){if(!this.batchChanges)return;this.batchChanges.push(s),this.batchAnimation&&(this.batchAnimation=o);return}this.batchChanges=[s],this.batchAnimation=o}this.undoStackPush(oD(this.batchChanges.flat(),this.batchAnimation,this.context)),this.notify(Ia.ADD,this.undoStack[this.undoStack.length-1])}},this.initBatchCommand=i=>{const{initiate:a}=i.data;this.batchAnimation=!1,a?this.batchChanges=[]:this.undoStack.pop()||(this.batchChanges=null)},this.emitter=new Uu;const{graph:n}=this.context;n.on(Kt.AFTER_DRAW,this.addCommand),n.on(Kt.BATCH_START,this.initBatchCommand),n.on(Kt.BATCH_END,this.addCommand)}canUndo(){return this.undoStack.length>0}canRedo(){return this.redoStack.length>0}undo(){var t,e,n,i;const a=this.undoStack.pop();if(a){if(this.executeCommand(a),((e=(t=this.options).beforeAddCommand)===null||e===void 0?void 0:e.call(t,a,!1))===!1)return;this.redoStack.push(a),(i=(n=this.options).afterAddCommand)===null||i===void 0||i.call(n,a,!1),this.notify(Ia.UNDO,a)}return this}redo(){const t=this.redoStack.pop();return t&&(this.executeCommand(t,!1),this.undoStackPush(t),this.notify(Ia.REDO,t)),this}undoAndCancel(){const t=this.undoStack.pop();return t&&(this.executeCommand(t,!1),this.redoStack=[],this.notify(Ia.CANCEL,t)),this}undoStackPush(t){var e,n,i,a;const{stackSize:s}=this.options;s!==0&&this.undoStack.length>=s&&this.undoStack.shift(),((n=(e=this.options).beforeAddCommand)===null||n===void 0?void 0:n.call(e,t,!0))!==!1&&(this.undoStack.push(t),(a=(i=this.options).afterAddCommand)===null||a===void 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ax=Math.cos(90/(180/Math.PI)),sx=.6;function DD(r,t,e){if(r.length===1)return ID(r[0],t,e);if(r.length===2)return ox(r,t,e);if(r.length===3){const[n,i,a]=Xf(r);if(Ny(n,i,a))return ox([n,a],t,e)}switch(e){case"smooth":return FD(r,t);case"sharp":return zD(r,t);case"rounded":default:return BD(r,t)}}const ID=(r,t,e)=>{if(e==="sharp")return[["M",r[0]-t,r[1]-t],["L",r[0]+t,r[1]-t],["L",r[0]+t,r[1]+t],["L",r[0]-t,r[1]+t],["Z"]];const n=[t,t,0,0,0];return[["M",r[0],r[1]-t],["A",...n,r[0],r[1]+t],["A",...n,r[0],r[1]-t]]},ox=(r,t,e)=>{const n=[t,t,0,0,0],i=e==="sharp"?Ne(r[0],Za(ma(ln(r[0],r[1])),t)):r[0],a=e==="sharp"?Ne(r[1],Za(ma(ln(r[1],r[0])),t)):r[1],s=Za(ma(hu(ln(i,a),!1)),t),o=Za(s,-1),l=Ne(i,s),c=Ne(a,s),u=Ne(a,o),h=Ne(i,o);return e==="sharp"?[["M",l[0],l[1]],["L",c[0],c[1]],["L",u[0],u[1]],["L",h[0],h[1]],["Z"]]:[["M",l[0],l[1]],["L",c[0],c[1]],["A",...n,u[0],u[1]],["L",h[0],h[1]],["A",...n,l[0],l[1]]]},BD=(r,t)=>{const e=Xf(r).map((o,l)=>{const c=(l-2+r.length)%r.length,u=(l-1+r.length)%r.length,h=(l+1)%r.length,d=r[c],f=r[u],v=r[h],g=ln(d,f),p=ln(f,o),y=ln(o,v),b=(F,I)=>Uf(F,I,!0)Za(ma(hu(F,!1)),t),R=P(p);return[{p:Rs(E?Ne(f,P(g)):Ne(f,R)),concave:E&&f},{p:Rs(O?Ne(o,P(y)):Ne(o,R)),concave:O&&o}]}),n=[t,t,0,0,0],i=e.findIndex((o,l)=>!e[(l-1+e.length)%e.length][0].concave&&!e[(l-1+e.length)%e.length][1].concave&&!o[0].concave&&!o[0].concave&&!o[1].concave),a=e.slice(i).concat(e.slice(0,i));let s=[];return a.flatMap((o,l)=>{const c=[],u=a[e.length-1];return l===0&&c.push(["M",...u[1].p]),o[0].concave?s.push(o[0].p,o[1].p):c.push(["A",...n,...o[0].p]),o[1].concave?s.unshift(o[1].p):c.push(["L",...o[1].p]),s.length===3&&(c.pop(),c.push(["C",...s.flat()]),s=[]),c})},FD=(r,t)=>{const e=Xf(r).map((n,i)=>{const a=r[(i+1)%r.length];return{p:n,v:ma(ln(a,n))}});return e.forEach((n,i)=>{const a=i>0?i-1:r.length-1,s=e[a].v,o=ma(Ne(s,Za(n.v,Uf(s,n.v,!0)n.p))},zD=(r,t)=>{const n=r.map((a,s)=>{const o=r[s===0?r.length-1:s-1],l=pl(Za(ma(hu(ln(o,a),!1)),t));return[Ne(o,l),Ne(a,l)]}).flat();return n.map((a,s)=>{if(s%2===0)return null;const o=[n[(s-1)%n.length],n[s%n.length]],l=[n[(s+1)%n.length],n[(s+2)%n.length]];return Hf(o,l,!0)}).filter(Boolean).map((a,s)=>[s===0?"M":"L",a[0],a[1]]).concat([["Z"]])};var jD=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{if(!this.shape)this.shape=new wl({style:this.getHullStyle()}),this.context.canvas.appendChild(this.shape);else{const n=!Wn(this.optionsCache,this.options);this.shape.update(this.getHullStyle(n))}this.optionsCache=Object.assign({},this.options)},this.updateHullPath=n=>{this.shape&&this.options.members.includes(At(n.data))&&this.shape.update({d:this.getHullPath(!0)})},this.getHullPath=(n=!1)=>{const{graph:i}=this.context,a=this.getMember();if(a.length===0)return"";const s=a.map(c=>i.getNodeData(c)),o=_D(s.map(ir),this.options.concavity).slice(1).reverse(),l=o.flatMap(c=>s.filter(u=>Wn(ir(u),c)).map(At));return Wn(l,this.hullMemberIds)&&!n?this.path:(this.hullMemberIds=l,this.path=DD(o,this.getPadding(),this.options.corner),this.path)},this.bindEvents()}bindEvents(){this.context.graph.on(Kt.AFTER_RENDER,this.drawHull),this.context.graph.on(Kt.AFTER_ELEMENT_UPDATE,this.updateHullPath)}unbindEvents(){this.context.graph.off(Kt.AFTER_RENDER,this.drawHull),this.context.graph.off(Kt.AFTER_ELEMENT_UPDATE,this.updateHullPath)}getHullStyle(t){const 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n=this.shape,i=n.width,a=n.height,s=ke(this.attributes,"background");this.background=e.maybeAppendByClassName(Nr.backgroundGroup,"g").style("zIndex",-1),this.background.maybeAppendByClassName(Nr.background,"rect").styles((0,G.pi)({width:i,height:a},s))},t.prototype.adjustLayout=function(){var e=this.layout,n=e.labelWidth,i=e.valueWidth,a=e.height,s=(0,G.CR)(e.position,4),o=s[0],l=s[1],c=s[2],u=s[3],h=a/2;this.markerGroup.styles({transform:"translate(".concat(o,", ").concat(h,")").concat(this.markerGroup.node().style._transform)}),this.labelGroup.styles({transform:"translate(".concat(l,", ").concat(h,")")}),this.focusGroup&&this.focusGroup.styles({transform:"translate(".concat(u,", ").concat(h,")")}),i0(this.labelGroup.select(Nr.label.class).node(),Math.ceil(n)),this.showValue&&(this.valueGroup.styles({transform:"translate(".concat(c,", ").concat(h,")")}),i0(this.valueGroup.select(Nr.value.class).node(),Math.ceil(i)))},t.prototype.render=function(e,n){var i=ve(n),a=e.x,s=a===void 0?0:a,o=e.y,l=o===void 0?0:o;i.styles({transform:"translate(".concat(s,", ").concat(l,")")}),this.renderMarker(i),this.renderLabel(i),this.renderValue(i),this.renderBackground(i),this.renderPoptip(i),this.renderFocus(i),this.adjustLayout()},t}(Ln),Us=Zi({page:"item-page",navigator:"navigator",item:"item"},"items"),Tx=function(r,t,e){return e===void 0&&(e=!0),r?t(r):e},qI=function(r){(0,G.ZT)(t,r);function t(e){var n=r.call(this,e,{data:[],gridRow:1/0,gridCol:void 0,padding:0,width:1e3,height:100,rowPadding:0,colPadding:0,layout:"flex",orientation:"horizontal",click:t0,mouseenter:t0,mouseleave:t0})||this;return n.navigatorShape=[0,0],n}return Object.defineProperty(t.prototype,"pageViews",{get:function(){return this.navigator.getContainer()},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"grid",{get:function(){var e=this.attributes,n=e.gridRow,i=e.gridCol,a=e.data;if(!n&&!i)throw new Error("gridRow and gridCol can not be set null at the same time");return n&&i?[n,i]:n?[n,a.length]:[a.length,i]},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"renderData",{get:function(){var e=this.attributes,n=e.data,i=e.layout,a=e.poptip,s=e.focus,o=e.focusMarkerSize,l=ke(this.attributes,"item"),c=n.map(function(u,h){var d=u.id,f=d===void 0?h:d,v=u.label,g=u.value;return{id:"".concat(f),index:h,style:(0,G.pi)({layout:i,labelText:v,valueText:g,poptip:a,focus:s,focusMarkerSize:o},Object.fromEntries(Object.entries(l).map(function(p){var y=(0,G.CR)(p,2),b=y[0],E=y[1];return[b,qr(E,[u,h,n])]})))}});return c},enumerable:!1,configurable:!0}),t.prototype.getGridLayout=function(){var e=this,n=this.attributes,i=n.orientation,a=n.width,s=n.rowPadding,o=n.colPadding,l=(0,G.CR)(this.navigatorShape,1),c=l[0],u=(0,G.CR)(this.grid,2),h=u[0],d=u[1],f=d*h,v=0;return this.pageViews.children.map(function(g,p){var y,b,E=Math.floor(p/f),O=p%f,P=e.ifHorizontal(d,h),R=[Math.floor(O/P),O%P];i==="vertical"&&R.reverse();var F=(0,G.CR)(R,2),I=F[0],V=F[1],Y=(a-c-(d-1)*o)/d,J=g.getBBox().height,$=(0,G.CR)([0,0],2),ot=$[0],ct=$[1];return i==="horizontal"?(y=(0,G.CR)([v,I*(J+s)],2),ot=y[0],ct=y[1],v=V===d-1?0:v+Y+o):(b=(0,G.CR)([V*(Y+o),v],2),ot=b[0],ct=b[1],v=I===h-1?0:v+J+s),{page:E,index:p,row:I,col:V,pageIndex:O,width:Y,height:J,x:ot,y:ct}})},t.prototype.getFlexLayout=function(){var e=this.attributes,n=e.width,i=e.height,a=e.rowPadding,s=e.colPadding,o=(0,G.CR)(this.navigatorShape,1),l=o[0],c=(0,G.CR)(this.grid,2),u=c[0],h=c[1],d=(0,G.CR)([n-l,i],2),f=d[0],v=d[1],g=(0,G.CR)([0,0,0,0,0,0,0,0],8),p=g[0],y=g[1],b=g[2],E=g[3],O=g[4],P=g[5],R=g[6],F=g[7];return this.pageViews.children.map(function(I,V){var Y,J,$,ot,ct=I.getBBox(),ft=ct.width,Nt=ct.height,Ot=R===0?0:s,mt=R+Ot+ft;if(mt<=f&&Tx(O,function(Rt){return Rt0?(this.navigatorShape=[55,0],e.call(this)):n},enumerable:!1,configurable:!0}),t.prototype.ifHorizontal=function(e,n){var i=this.attributes.orientation;return n0(i,e,n)},t.prototype.flattenPage=function(e){e.querySelectorAll(Us.item.class).forEach(function(n){e.appendChild(n)}),e.querySelectorAll(Us.page.class).forEach(function(n){var i=e.removeChild(n);i.destroy()})},t.prototype.renderItems=function(e){var n=this.attributes,i=n.click,a=n.mouseenter,s=n.mouseleave;this.flattenPage(e);var o=this.dispatchCustomEvent.bind(this);ve(e).selectAll(Us.item.class).data(this.renderData,function(l){return l.id}).join(function(l){return l.append(function(c){var u=c.style;return new QI({style:u})}).attr("className",Us.item.name).on("click",function(){i==null||i(this),o("itemClick",{item:this})}).on("pointerenter",function(){a==null||a(this),o("itemMouseenter",{item:this})}).on("pointerleave",function(){s==null||s(this),o("itemMouseleave",{item:this})})},function(l){return l.each(function(c){var u=c.style;this.update(u)})},function(l){return l.remove()})},t.prototype.relayoutNavigator=function(){var e,n=this.attributes,i=n.layout,a=n.width,s=((e=this.pageViews.children[0])===null||e===void 0?void 0:e.getBBox().height)||0,o=(0,G.CR)(this.navigatorShape,2),l=o[0],c=o[1];this.navigator.update(i==="grid"?{pageWidth:a-l,pageHeight:s-c}:{})},t.prototype.adjustLayout=function(){var e=this,n=Object.entries(iI(this.itemsLayout,"page")).map(function(a){var s=(0,G.CR)(a,2),o=s[0],l=s[1];return{page:o,layouts:l}}),i=(0,G.ev)([],(0,G.CR)(this.navigator.getContainer().children),!1);n.forEach(function(a){var s=a.layouts,o=e.pageViews.appendChild(new rr({className:Us.page.name}));s.forEach(function(l){var c=l.x,u=l.y,h=l.index,d=l.width,f=l.height,v=i[h];o.appendChild(v),bl(v,"__layout__",l),v.update({x:c,y:u,width:d,height:f})})}),this.relayoutNavigator()},t.prototype.renderNavigator=function(e){var n=this.attributes.orientation,i=ke(this.attributes,"nav"),a=Jn({orientation:n},i),s=this;return e.selectAll(Us.navigator.class).data(["nav"]).join(function(o){return o.append(function(){return new NI({style:a})}).attr("className",Us.navigator.name).each(function(){s.navigator=this})},function(o){return o.each(function(){this.update(a)})},function(o){return o.remove()}),this.navigator},t.prototype.getBBox=function(){return this.navigator.getBBox()},t.prototype.render=function(e,n){var i=this.attributes.data;if(!(!i||i.length===0)){var a=this.renderNavigator(ve(n));this.renderItems(a.getContainer()),this.adjustLayout()}},t.prototype.dispatchCustomEvent=function(e,n){var i=new Qn(e,{detail:n});this.dispatchEvent(i)},t}(Ln),Il=Zi({markerGroup:"marker-group",marker:"marker",labelGroup:"label-group",label:"label"},"handle"),Ox={showLabel:!0,formatter:function(r){return r.toString()},markerSize:25,markerStroke:"#c5c5c5",markerFill:"#fff",markerLineWidth:1,labelFontSize:12,labelFill:"#c5c5c5",labelText:"",orientation:"vertical",spacing:0},gj=function(r){(0,G.ZT)(t,r);function t(e){return r.call(this,e,Ox)||this}return t.prototype.render=function(e,n){var i=ve(n).maybeAppendByClassName(Il.markerGroup,"g");this.renderMarker(i);var a=ve(n).maybeAppendByClassName(Il.labelGroup,"g");this.renderLabel(a)},t.prototype.renderMarker=function(e){var n=this,i=this.attributes,a=i.orientation,s=i.markerSymbol,o=s===void 0?n0(a,"horizontalHandle","verticalHandle"):s;Qr(!!o,e,function(l){var c=ke(n.attributes,"marker"),u=(0,G.pi)({symbol:o},c);n.marker=l.maybeAppendByClassName(Il.marker,function(){return new en({style:u})}).update(u)})},t.prototype.renderLabel=function(e){var n=this,i=this.attributes,a=i.showLabel,s=i.orientation,o=i.spacing,l=o===void 0?0:o,c=i.formatter;Qr(a,e,function(u){var h,d=ke(n.attributes,"label"),f=d.text,v=(0,G._T)(d,["text"]),g=((h=u.select(Il.marker.class))===null||h===void 0?void 0:h.node().getBBox())||{},p=g.width,y=p===void 0?0:p,b=g.height,E=b===void 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t(e){return r.call(this,e,JI)||this}return t.prototype.renderTitle=function(e,n,i){var a=this.attributes,s=a.showTitle,o=a.titleText,l=ke(this.attributes,"title"),c=(0,G.CR)(wa(l),2),u=c[0],h=c[1];this.titleGroup=e.maybeAppendByClassName(Bl.titleGroup,"g").styles(h);var d=(0,G.pi)((0,G.pi)({width:n,height:i},u),{text:s?o:""});this.title=this.titleGroup.maybeAppendByClassName(Bl.title,function(){return new rI({style:d})}).update(d)},t.prototype.renderItems=function(e,n){var i=n.x,a=n.y,s=n.width,o=n.height,l=ke(this.attributes,"title",!0),c=(0,G.CR)(wa(l),2),u=c[0],h=c[1],d=(0,G.pi)((0,G.pi)({},u),{width:s,height:o,x:0,y:0});this.itemsGroup=e.maybeAppendByClassName(Bl.itemsGroup,"g").styles((0,G.pi)((0,G.pi)({},h),{transform:"translate(".concat(i,", ").concat(a,")")}));var f=this;this.itemsGroup.selectAll(Bl.items.class).data(["items"]).join(function(v){return v.append(function(){return new qI({style:d})}).attr("className",Bl.items.name).each(function(){f.items=ve(this)})},function(v){return v.update(d)},function(v){return v.remove()})},t.prototype.adjustLayout=function(){var e=this.attributes.showTitle;if(e){var n=this.title.node().getAvailableSpace(),i=n.x,a=n.y;this.itemsGroup.node().style.transform="translate(".concat(i,", ").concat(a,")")}},Object.defineProperty(t.prototype,"availableSpace",{get:function(){var e=this.attributes,n=e.showTitle,i=e.width,a=e.height;return n?this.title.node().getAvailableSpace():new Cr(0,0,i,a)},enumerable:!1,configurable:!0}),t.prototype.getBBox=function(){var e,n,i=(e=this.title)===null||e===void 0?void 0:e.node(),a=(n=this.items)===null||n===void 0?void 0:n.node();return!i||!a?r.prototype.getBBox.call(this):tI(i,a)},t.prototype.render=function(e,n){var i=this.attributes,a=i.width,s=i.height,o=i.x,l=o===void 0?0:o,c=i.y,u=c===void 0?0:c,h=ve(n);n.style.transform="translate(".concat(l,", 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0,this.draw=!1}updateElement(){this.category&&this.category.update({itemMarkerOpacity:({id:t})=>!this.selectedItems.length||this.selectedItems.includes(t)?1:.5,itemLabelOpacity:({id:t})=>!this.selectedItems.length||this.selectedItems.includes(t)?1:.5})}upsertCanvas(){if(this.canvas)return this.canvas;const t=this.context.canvas,[e,n]=t.getSize(),{width:i=e,height:a=n,position:s,container:o,containerStyle:l,className:c}=this.options,[u,h]=Rh({width:i,height:a,graphCanvas:t,container:o,containerStyle:l,placement:s,className:"legend"});return this.container=u,c&&u.classList.add(c),this.canvas=h,this.canvas}destroy(){this.clear(),this.context.graph.off(Kt.AFTER_DRAW,this.createElement),super.destroy()}}Lh.defaultOptions={position:"bottom",trigger:"hover",orientation:"horizontal",layout:"flex",itemSpacing:4,rowPadding:10,colPadding:10,itemMarkerSize:16,itemLabelFontSize:16,width:240,height:160};class _h extends hr{constructor(t,e){super(t,Object.assign({},_h.defaultOptions,e)),this.onDraw=n=>{var i;!((i=n==null?void 0:n.data)===null||i===void 0)&&i.render||this.onRender()},this.landmarkMap=new Map,this.mask=null,this.isMaskDragging=!1,this.onMaskDragStart=n=>{this.mask&&(this.isMaskDragging=!0,this.mask.setPointerCapture(n.pointerId),this.mask.addEventListener("pointermove",this.onMaskDrag),this.mask.addEventListener("pointerup",this.onMaskDragEnd),this.mask.addEventListener("pointercancel",this.onMaskDragEnd))},this.onMaskDrag=n=>{if(!this.mask||!this.isMaskDragging)return;const{size:[i,a]}=this.options,{movementX:s,movementY:o}=n,{left:l,top:c,width:u,height:h}=this.mask.style,[,,d,f]=this.maskBBox;let v=parseInt(l)+s,g=parseInt(c)+o,p=parseInt(u),y=parseInt(h);v<0&&(v=0),g<0&&(g=0),v+p>i&&(v=Ja(i-p,0)),g+y>a&&(g=Ja(a-y,0)),p0?(v=Ja(v-s,0),p=qa(p+s,i)):s<0&&(p=qa(p-s,i))),y0?(g=Ja(g-o,0),y=qa(y+o,a)):o<0&&(y=qa(y-o,a))),Object.assign(this.mask.style,{left:v+"px",top:g+"px",width:p+"px",height:y+"px"});const b=parseInt(l)-v,E=parseInt(c)-g;if(b===0&&E===0)return;const O=this.context.canvas.getCamera().getZoom(),P=this.canvas.getCamera().getZoom(),R=O/P;this.context.graph.translateBy([b*R,E*R],!1)},this.onMaskDragEnd=n=>{this.mask&&(this.isMaskDragging=!1,this.mask.releasePointerCapture(n.pointerId),this.mask.removeEventListener("pointermove",this.onMaskDrag),this.mask.removeEventListener("pointerup",this.onMaskDragEnd),this.mask.removeEventListener("pointercancel",this.onMaskDragEnd))},this.onTransform=Lm(()=>{this.isMaskDragging||(this.updateMask(),this.setCamera())},32,{leading:!0}),this.setOnRender(),this.bindEvents()}update(t){this.unbindEvents(),super.update(t),"delay"in t&&this.setOnRender(),this.bindEvents()}setOnRender(){this.onRender=Cl(()=>{this.renderMinimap(),this.renderMask()},this.options.delay)}bindEvents(){const{graph:t}=this.context;t.on(Kt.AFTER_DRAW,this.onDraw),t.on(Kt.AFTER_RENDER,this.onRender),t.on(Kt.AFTER_ANIMATE,this.onRender),t.on(Kt.AFTER_TRANSFORM,this.onTransform)}unbindEvents(){const{graph:t}=this.context;t.off(Kt.AFTER_DRAW,this.onDraw),t.off(Kt.AFTER_RENDER,this.onRender),t.off(Kt.AFTER_ANIMATE,this.onRender),t.off(Kt.AFTER_TRANSFORM,this.onTransform)}renderMinimap(){const t=this.getElements(),e=this.initCanvas();this.setShapes(e,t)}getElements(){const{filter:t}=this.options,{model:e,element:n}=this.context,i=e.getData(),a={nodes:i.nodes.filter(c=>n==null?void 0:n.getElement(At(c))),edges:i.edges.filter(c=>{const u=n==null?void 0:n.getElement(At(c));return u&&C1(u)}),combos:i.combos.filter(c=>n==null?void 0:n.getElement(At(c)))};if(!t)return a;const{nodes:s,edges:o,combos:l}=a;return{nodes:s.filter(c=>t(At(c),"node")),edges:o.filter(c=>t(At(c),"edge")),combos:l.filter(c=>t(At(c),"combo"))}}setShapes(t,e){const{nodes:n,edges:i,combos:a}=e,{shape:s}=this.options,{element:o}=this.context,l=(c,u)=>{const h=At(c),d=o==null?void 0:o.getElement(h);if(!d)return;const f=d.getShape("key");let v;if(typeof s=="string"){const g=s;v=d.getShape(g).cloneNode()}else{const g=s(h,u,d);g===d?v=g.cloneNode(!0):v=g}v.setPosition(f.getPosition()),d.style.zIndex&&(v.style.zIndex=d.style.zIndex),v.id=d.id,t.appendChild(v)};t.removeChildren(),i.forEach(c=>l(c,"edge")),a.forEach(c=>l(c,"combo")),n.forEach(c=>l(c,"node"))}initCanvas(){const{renderer:t,size:[e,n]}=this.options;if(this.canvas){const{width:i,height:a}=this.canvas.getConfig();(e!==i||n!==a)&&this.canvas.resize(e,n),t&&this.canvas.setRenderer(t)}else{const{className:i,position:a,container:s,containerStyle:o}=this.options,[l,c]=Rh({renderer:t,width:e,height:n,placement:a,className:"minimap",container:s,containerStyle:o,graphCanvas:this.context.canvas});i&&l.classList.add(i),this.container=l,this.canvas=c}return this.setCamera(),this.canvas}createLandmark(t,e,n){const i=`${t.join(",")}-${e.join(",")}-${n}`;if(this.landmarkMap.has(i))return this.landmarkMap.get(i);const s=this.canvas.getCamera().createLandmark(i,{position:t,focalPoint:e,zoom:n});return this.landmarkMap.set(i,s),s}setCamera(){var t;const{canvas:e}=this.context,n=(t=this.canvas)===null||t===void 0?void 0:t.getCamera();if(!n)return;const{size:[i,a],padding:s}=this.options,[o,l,c,u]=ai(s),{min:h,max:d,center:f}=e.getBounds("elements"),v=d[0]-h[0],g=d[1]-h[1],p=i-u-l,y=a-o-c,b=p/v,E=y/g,O=Math.min(b,E),P=this.createLandmark(f,f,O);n.gotoLandmark(P,0)}get maskBBox(){const{canvas:t}=this.context,e=t.getSize(),n=t.getCanvasByViewport([0,0]),i=t.getCanvasByViewport(e),a=this.canvas.canvas2Viewport(Bi(n)),s=this.canvas.canvas2Viewport(Bi(i)),o=s.x-a.x,l=s.y-a.y;return[a.x,a.y,o,l]}calculateMaskBBox(){const{size:[t,e]}=this.options;let[n,i,a,s]=this.maskBBox;return n<0&&(a=qa(a+n,t),n=0),i<0&&(s=qa(s+i,e),i=0),n+a>t&&(a=Ja(t-n,0)),i+s>e&&(s=Ja(e-i,0)),[qa(n,t),qa(i,e),Ja(a,0),Ja(s,0)]}renderMask(){const{maskStyle:t}=this.options;this.mask||(this.mask=document.createElement("div"),this.mask.addEventListener("pointerdown",this.onMaskDragStart),this.mask.draggable=!0,this.mask.addEventListener("dragstart",e=>e.preventDefault&&e.preventDefault())),this.container.appendChild(this.mask),Object.assign(this.mask.style,Object.assign(Object.assign({},t),{cursor:"move",position:"absolute",pointerEvents:"auto"})),this.updateMask()}updateMask(){if(!this.mask)return;const[t,e,n,i]=this.calculateMaskBBox();Object.assign(this.mask.style,{top:e+"px",left:t+"px",width:n+"px",height:i+"px"})}destroy(){var t,e,n;this.unbindEvents(),(t=this.canvas)===null||t===void 0||t.destroy(),(e=this.mask)===null||e===void 0||e.remove(),(n=this.container)===null||n===void 0||n.remove(),super.destroy()}}_h.defaultOptions={size:[240,160],shape:"key",padding:10,position:"right-bottom",maskStyle:{border:"1px solid #ddd",background:"rgba(0, 0, 0, 0.1)"},containerStyle:{border:"1px solid #ddd",background:"#fff"},delay:128};const qa=(r,t)=>Math.min(r,t),Ja=(r,t)=>Math.max(r,t);var s0=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 o0={x1:0,y1:0,x2:0,y2:0,visibility:"hidden"};class Dh extends hr{constructor(t,e){super(t,Object.assign({},Dh.defaultOptions,e)),this.initSnapline=()=>{const n=this.context.canvas.getLayer("transient");this.horizontalLine||(this.horizontalLine=n.appendChild(new As({style:Object.assign(Object.assign({},o0),this.options.horizontalLineStyle)}))),this.verticalLine||(this.verticalLine=n.appendChild(new As({style:Object.assign(Object.assign({},o0),this.options.verticalLineStyle)})))},this.isHorizontalSticking=!1,this.isVerticalSticking=!1,this.enableStick=!0,this.autoSnapToLine=(n,i,a)=>s0(this,void 0,void 0,function*(){const{verticalX:s,horizontalY:o}=a,{tolerance:l}=this.options,{min:[c,u],max:[h,d],center:[f,v]}=i;let g=0,p=0;s!==null&&(kr(h,s){const{target:i}=n,a=.5;if(this.isHorizontalSticking||this.isVerticalSticking){const[s,o]=this.getDelta(n);if(this.isHorizontalSticking&&this.isVerticalSticking&&Math.abs(s)<=a&&Math.abs(o)<=a)return this.context.graph.translateElementBy({[i.id]:[-s,-o]},!1),!1;if(this.isHorizontalSticking&&Math.abs(o)<=a)return this.context.graph.translateElementBy({[i.id]:[0,-o]},!1),!1;if(this.isVerticalSticking&&Math.abs(s)<=a)return this.context.graph.translateElementBy({[i.id]:[-s,0]},!1),!1;this.isHorizontalSticking=!1,this.isVerticalSticking=!1,this.enableStick=!1,setTimeout(()=>{this.enableStick=!0},200)}return this.enableStick},this.calcSnaplineMetadata=(n,i)=>{const{tolerance:a,shape:s}=this.options,{min:[o,l],max:[c,u],center:[h,d]}=i;let f=null,v=null,g=null,p=null,y=null,b=null;return this.getNodes().some(E=>{if(Wn(n.id,E.id))return!1;const O=Nx(E,s).getRenderBounds(),{min:[P,R],max:[F,I],center:[V,Y]}=O;return f===null&&(kr(V,h){this.initSnapline()},this.onDrag=n=>s0(this,void 0,void 0,function*(){const{target:i}=n;if(this.options.autoSnap&&!this.enableSnap(n))return;const a=Nx(i,this.options.shape).getRenderBounds(),s=this.calcSnaplineMetadata(i,a);this.hideSnapline(),(s.verticalX!==null||s.horizontalY!==null)&&this.updateSnapline(s),this.options.autoSnap&&(yield this.autoSnapToLine(i.id,a,s))}),this.onDragEnd=()=>{this.hideSnapline()},this.bindEvents()}getNodes(){var t;const{filter:e}=this.options,i=(((t=this.context.element)===null||t===void 0?void 0:t.getNodes())||[]).filter(a=>{var s;return C1(a)&&((s=this.context.viewport)===null||s===void 0?void 0:s.isInViewport(a.getRenderBounds()))});return e?i.filter(a=>e(a)):i}hideSnapline(){this.horizontalLine.style.visibility="hidden",this.verticalLine.style.visibility="hidden"}getLineWidth(t){const{lineWidth:e}=this.options[`${t}LineStyle`];return+(e||o0.lineWidth||1)/this.context.graph.getZoom()}updateSnapline(t){const{verticalX:e,verticalMinY:n,verticalMaxY:i,horizontalY:a,horizontalMinX:s,horizontalMaxX:o}=t,[l,c]=this.context.canvas.getSize(),{offset:u}=this.options;a!==null?Object.assign(this.horizontalLine.style,{x1:u===1/0?0:s-u,y1:a,x2:u===1/0?l:o+u,y2:a,visibility:"visible",lineWidth:this.getLineWidth("horizontal")}):this.horizontalLine.style.visibility="hidden",e!==null?Object.assign(this.verticalLine.style,{x1:e,y1:u===1/0?0:n-u,x2:e,y2:u===1/0?c:i+u,visibility:"visible",lineWidth:this.getLineWidth("vertical")}):this.verticalLine.style.visibility="hidden"}getDelta(t){const e=this.context.graph.getZoom();return Ii([t.dx,t.dy],e)}bindEvents(){return s0(this,void 0,void 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e={YYYY:r.getFullYear(),MM:r.getMonth()+1,DD:r.getDate(),HH:r.getHours(),mm:r.getMinutes(),ss:r.getSeconds()},n=t;return Object.keys(e).forEach(function(i){var a=e[i];n=n.replace(i,i==="YYYY"?"".concat(a):"".concat(a).padStart(2,"0"))}),n}function bj(r,t){return Ih(r).getTime()-Ih(t).getTime()}function xj(r,t){var e=__read([Ih(r),Ih(t)],2),n=e[0],i=e[1];return n.getFullYear()!==i.getFullYear()?"year":n.getMonth()!==i.getMonth()?"month":n.getDay()!==i.getDay()?"day":n.getHours()!==i.getHours()?"hour":n.getMinutes()!==i.getMinutes()?"minute":"second"}function Ej(r,t){var e=new Date(r),n={year:function(i){i.setMonth(0),i.setHours(0,0,0,0)},month:function(i){i.setDate(1),i.setHours(0,0,0,0)},day:function(i){return i.setHours(0,0,0,0)},hour:function(i){return i.setMinutes(0,0,0)},minute:function(i){return i.setSeconds(0,0)},second:function(i){return i.setMilliseconds(0)}};return n[t](e),Fr(e,i6(["year",t]))}function a6(r,t){if(r.length<=t)return r;for(var e=Math.floor(r.length/t),n=[],i=0;i180?1:0,I=r>t?0:1,V=!1;return V?"M".concat(e,",").concat(n,",L").concat(v,",").concat(g,",A").concat(o,",").concat(l,",0,").concat(F,",").concat(I,",").concat(y,",").concat(b,",L").concat(e,",").concat(n):"M".concat(v,",").concat(g,",A").concat(o,",").concat(l,",0,").concat(F,",").concat(I,",").concat(y,",").concat(b)}function E6(r){var t=r.attributes,e=t.startAngle,n=t.endAngle,i=t.center,a=t.radius;return(0,G.ev)((0,G.ev)([e,n],(0,G.CR)(i),!1),[a],!1)}function w6(r,t,e,n){var i=t.startAngle,a=t.endAngle,s=t.center,o=t.radius;return r.selectAll(cn.line.class).data([{d:jx.apply(void 0,(0,G.ev)((0,G.ev)([i,a],(0,G.CR)(s),!1),[o],!1))}],function(l,c){return c}).join(function(l){return l.append("path").attr("className",cn.line.name).styles(t).styles({d:function(c){return c.d}})},function(l){return l.transition(function(){var c=this,u=y6(this,E6(this),(0,G.ev)((0,G.ev)([i,a],(0,G.CR)(s),!1),[o],!1),n.update);if(u){var h=function(){var d=br(c.attributes,"__keyframe_data__");c.style.d=jx.apply(void 0,(0,G.ev)([],(0,G.CR)(d),!1))};u.onframe=h,u.onfinish=h}return u}).styles(t)},function(l){return l.remove()}).styles(e).transitions()}function S6(r,t){var e=t.truncRange,n=t.truncShape,i=t.lineExtension}function M6(r,t,e){e===void 0&&(e=[0,0]);var n=(0,G.CR)([r,t,e],3),i=(0,G.CR)(n[0],2),a=i[0],s=i[1],o=(0,G.CR)(n[1],2),l=o[0],c=o[1],u=(0,G.CR)(n[2],2),h=u[0],d=u[1],f=(0,G.CR)([l-a,c-s],2),v=f[0],g=f[1],p=Math.sqrt(Math.pow(v,2)+Math.pow(g,2)),y=(0,G.CR)([-h/p,d/p],2),b=y[0],E=y[1];return[b*v,b*g,E*v,E*g]}function Zx(r){var t=(0,G.CR)(r,2),e=(0,G.CR)(t[0],2),n=e[0],i=e[1],a=(0,G.CR)(t[1],2),s=a[0],o=a[1];return{x1:n,y1:i,x2:s,y2:o}}function A6(r,t,e,n){var i=t.showTrunc,a=t.startPos,s=t.endPos,o=t.truncRange,l=t.lineExtension,c=(0,G.CR)([a,s],2),u=(0,G.CR)(c[0],2),h=u[0],d=u[1],f=(0,G.CR)(c[1],2),v=f[0],g=f[1],p=(0,G.CR)(l?M6(a,s,l):new Array(4).fill(0),4),y=p[0],b=p[1],E=p[2],O=p[3],P=function(mt){return r.selectAll(cn.line.class).data(mt,function(yt,Rt){return Rt}).join(function(yt){return yt.append("line").attr("className",function(Rt){return"".concat(cn.line.name," ").concat(Rt.className)}).styles(e).transition(function(Rt){return Wi(this,Zx(Rt.line),!1)})},function(yt){return yt.styles(e).transition(function(Rt){var jt=Rt.line;return Wi(this,Zx(jt),n.update)})},function(yt){return yt.remove()}).transitions()};if(!i||!o)return P([{line:[[h+y,d+b],[v+E,g+O]],className:cn.line.name}]);var R=(0,G.CR)(o,2),F=R[0],I=R[1],V=v-h,Y=g-d,J=(0,G.CR)([h+V*F,d+Y*F],2),$=J[0],ot=J[1],ct=(0,G.CR)([h+V*I,d+Y*I],2),ft=ct[0],Nt=ct[1],Ot=P([{line:[[h+y,d+b],[$,ot]],className:cn.lineFirst.name},{line:[[ft,Nt],[v+E,g+O]],className:cn.lineSecond.name}]);return S6(r,t),Ot}function T6(r,t,e,n){var i=e.showArrow,a=e.showTrunc,s=e.lineArrow,o=e.lineArrowOffset,l=e.lineArrowSize,c;if(t==="arc"?c=r.select(cn.line.class):a?c=r.select(cn.lineSecond.class):c=r.select(cn.line.class),!i||!s||e.type==="arc"&&zx(e.startAngle,e.endAngle)){var u=c.node();u&&(u.style.markerEnd=void 0);return}var h=Sa(s);h.attr(n),e0(h,l,!0),c.style("markerEnd",h).style("markerEndOffset",-o)}function O6(r,t,e){var n=t.type,i,a=ke(t,"line");return n==="linear"?i=A6(r,t,Dx(a,"arrow"),e):i=w6(r,t,Dx(a,"arrow"),e),T6(r,n,t,a),i}function C6(r,t){return f0(r,t.gridDirection,t)}function Wx(r){var t=r.type,e=r.gridCenter;return t==="linear"?e:e||r.center}function N6(r,t){var e=t.gridLength;return r.map(function(n,i){var a=n.value,s=(0,G.CR)(zh(a,t),2),o=s[0],l=s[1],c=(0,G.CR)(Ma(C6(a,t),e),2),u=c[0],h=c[1];return{id:i,points:[[o,l],[o+u,l+h]]}})}function k6(r,t){var e=t.gridControlAngles,n=Wx(t);if(!n)throw new Error("grid center is not provide");if(r.length<2)throw new Error("Invalid grid 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e=this,n=ke(this.attributes,"column"),i=this.attributes,a=i.isStack,s=i.type,o=i.scale;if(s!=="column")throw new Error("columnsStyle can only be used in column type");var l=this.containerShape.height,c=this.rawData;if(!c)return{columns:[]};a&&(c=dE(c));var u=this.createScales(c),h=u.x,d=u.y,f=(0,G.CR)(hE(c),2),v=f[0],g=f[1],p=new Wl({domain:[0,g-(v>0?0:v)],range:[0,l*o]}),y=h.getBandWidth(),b=this.rawData;return{columns:c.map(function(E,O){return E.map(function(P,R){var F=y/c.length,I=function(){return{x:h.map(R)+F*O,y:P>=0?d.map(P):d.map(0),width:F,height:p.map(Math.abs(P))}},V=function(){return{x:h.map(R),y:d.map(P),width:y,height:p.map(b[O][R])}};return(0,G.pi)((0,G.pi)({fill:e.getColor(O)},n),a?V():I())})})}},enumerable:!1,configurable:!0}),t.prototype.render=function(e,n){$D(n,".container","rect").attr("className","container").node();var i=e.type,a=e.x,s=e.y,o="spark".concat(i),l=(0,G.pi)({x:a,y:s},i==="line"?this.linesStyle:this.columnsStyle);ve(n).selectAll(".spark").data([i]).join(function(c){return c.append(function(u){return u==="line"?new F5({className:o,style:l}):new B5({className:o,style:l})}).attr("className","spark ".concat(o))},function(c){return c.update(l)},function(c){return c.remove()})},t.prototype.getColor=function(e){var n=this.attributes.color;return Wr(n)?n[e%n.length]:fe(n)?n.call(null,e):n},t.prototype.createScales=function(e){var n,i,a=this.attributes,s=a.type,o=a.scale,l=a.range,c=l===void 0?[]:l,u=a.spacing,h=this.containerShape,d=h.width,f=h.height,v=(0,G.CR)(hE(e),2),g=v[0],p=v[1],y=new Wl({domain:[(n=c[0])!==null&&n!==void 0?n:g,(i=c[1])!==null&&i!==void 0?i:p],range:[f,f*(1-o)]});return s==="line"?{type:s,x:new Wl({domain:[0,e[0].length-1],range:[0,d]}),y}:{type:s,x:new O0({domain:e[0].map(function(b,E){return E}),range:[0,d],paddingInner:u,paddingOuter:u/2,align:.5}),y}},t.tag="sparkline",t}(Ln),fE={fill:"#fff",lineWidth:1,radius:2,size:10,stroke:"#bfbfbf",strokeOpacity:1,zIndex:0},vE={fill:"#000",fillOpacity:.45,fontSize:12,textAlign:"center",textBaseline:"middle",zIndex:1},gE={x:0,y:0,orientation:"horizontal",showLabel:!0,type:"start"},sa=Zi({foreground:"foreground",handle:"handle",selection:"selection",sparkline:"sparkline",sparklineGroup:"sparkline-group",track:"track",brushArea:"brush-area"},"slider"),$a=Zi({labelGroup:"label-group",label:"label",iconGroup:"icon-group",icon:"icon",iconRect:"icon-rect",iconLine:"icon-line"},"handle"),X5=function(r){(0,G.ZT)(t,r);function t(){return r!==null&&r.apply(this,arguments)||this}return t.prototype.render=function(e,n){var i=e.x,a=e.y,s=e.size,o=s===void 0?10:s,l=e.radius,c=l===void 0?o/4:l,u=e.orientation,h=(0,G._T)(e,["x","y","size","radius","orientation"]),d=o,f=d*2.4,v=ve(n).maybeAppendByClassName($a.iconRect,"rect").styles((0,G.pi)((0,G.pi)({},h),{width:d,height:f,radius:c,x:i-d/2,y:a-f/2,transformOrigin:"center"})),g=i+1/3*d-d/2,p=i+2/3*d-d/2,y=a+1/4*f-f/2,b=a+3/4*f-f/2;v.maybeAppendByClassName("".concat($a.iconLine,"-1"),"line").styles((0,G.pi)({x1:g,x2:g,y1:y,y2:b},h)),v.maybeAppendByClassName("".concat($a.iconLine,"-2"),"line").styles((0,G.pi)({x1:p,x2:p,y1:y,y2:b},h)),u==="vertical"&&(v.node().style.transform="rotate(90)")},t}(Ln),K5=function(r){(0,G.ZT)(t,r);function t(e){return r.call(this,e,gE)||this}return t.prototype.renderLabel=function(e){var n=this,i=this.attributes,a=i.x,s=i.y,o=i.showLabel,l=ke(this.attributes,"label"),c=l.x,u=c===void 0?0:c,h=l.y,d=h===void 0?0:h,f=l.transform,v=l.transformOrigin,g=(0,G._T)(l,["x","y","transform","transformOrigin"]),p=(0,G.CR)(wa(g,[]),2),y=p[0],b=p[1],E=ve(e).maybeAppendByClassName($a.labelGroup,"g").styles(b),O=(0,G.pi)((0,G.pi)({},vE),y),P=O.text,R=(0,G._T)(O,["text"]);Qr(!!o,E,function(F){n.label=F.maybeAppendByClassName($a.label,"text").styles((0,G.pi)((0,G.pi)({},R),{x:a+u,y:s+d,transform:f,transformOrigin:v,text:"".concat(P)})),n.label.on("mousedown",function(I){I.stopPropagation()}),n.label.on("touchstart",function(I){I.stopPropagation()})})},t.prototype.renderIcon=function(e){var n=this.attributes,i=n.x,a=n.y,s=n.orientation,o=n.type,l=(0,G.pi)((0,G.pi)({x:i,y:a,orientation:s},fE),ke(this.attributes,"icon")),c=this.attributes.iconShape,u=c===void 0?function(){return new X5({style:l})}:c,h=ve(e).maybeAppendByClassName($a.iconGroup,"g");h.selectAll($a.icon.class).data([u]).join(function(d){return d.append(typeof u=="string"?u:function(){return u(o)}).attr("className",$a.icon.name)},function(d){return d.update(l)},function(d){return d.remove()})},t.prototype.render=function(e,n){this.renderIcon(n),this.renderLabel(n)},t}(Ln),Q5=function(r){(0,G.ZT)(t,r);function t(e){var n=r.call(this,e,(0,G.pi)((0,G.pi)((0,G.pi)({x:0,y:0,animate:{duration:100,fill:"both"},brushable:!0,formatter:function(i){return i.toString()},handleSpacing:2,orientation:"horizontal",padding:0,autoFitLabel:!0,scrollable:!0,selectionFill:"#5B8FF9",selectionFillOpacity:.45,selectionZIndex:2,showHandle:!0,showLabel:!0,slidable:!0,trackFill:"#416180",trackLength:200,trackOpacity:.05,trackSize:20,trackZIndex:-1,values:[0,1],type:"range",selectionType:"select",handleIconOffset:0},Mo(gE,"handle")),Mo(fE,"handleIcon")),Mo(vE,"handleLabel")))||this;return n.range=[0,1],n.onDragStart=function(i){return function(a){a.stopPropagation(),n.target=i,n.prevPos=n.getOrientVal(eE(a));var s=n.availableSpace,o=s.x,l=s.y,c=n.getBBox(),u=c.x,h=c.y;n.selectionStartPos=n.getRatio(n.prevPos-n.getOrientVal([o,l])-n.getOrientVal([+u,+h])),n.selectionWidth=0,document.addEventListener("pointermove",n.onDragging),document.addEventListener("pointerup",n.onDragEnd)}},n.onDragging=function(i){var a=n.attributes,s=a.slidable,o=a.brushable,l=a.type;i.stopPropagation();var c=n.getOrientVal(eE(i)),u=c-n.prevPos;if(u){var h=n.getRatio(u);switch(n.target){case"start":s&&n.setValuesOffset(h);break;case"end":s&&n.setValuesOffset(0,h);break;case"selection":s&&n.setValuesOffset(h,h);break;case"track":if(!o)return;n.selectionWidth+=h,l==="range"?n.innerSetValues([n.selectionStartPos,n.selectionStartPos+n.selectionWidth].sort(),!0):n.innerSetValues([0,n.selectionStartPos+n.selectionWidth],!0);break;default:break}n.prevPos=c}},n.onDragEnd=function(){document.removeEventListener("pointermove",n.onDragging),document.removeEventListener("pointermove",n.onDragging),document.removeEventListener("pointerup",n.onDragEnd),n.target="",n.updateHandlesPosition(!1)},n.onValueChange=function(i){var a=n.attributes,s=a.onChange,o=a.type,l=o==="range"?i:i[1],c=o==="range"?n.getValues():n.getValues()[1],u=new Qn("valuechange",{detail:{oldValue:l,value:c}});n.dispatchEvent(u),s==null||s(c)},n.selectionStartPos=0,n.selectionWidth=0,n.prevPos=0,n.target="",n}return Object.defineProperty(t.prototype,"values",{get:function(){return this.attributes.values},set:function(e){this.attributes.values=this.clampValues(e)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"sparklineStyle",{get:function(){var e=this.attributes.orientation;if(e!=="horizontal")return null;var n=ke(this.attributes,"sparkline");return(0,G.pi)((0,G.pi)({zIndex:0},this.availableSpace),n)},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"shape",{get:function(){var e=this.attributes,n=e.trackLength,i=e.trackSize,a=(0,G.CR)(this.getOrientVal([[n,i],[i,n]]),2),s=a[0],o=a[1];return{width:s,height:o}},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"availableSpace",{get:function(){var e=this.attributes,n=e.x,i=e.y,a=e.padding,s=(0,G.CR)(xr(a),4),o=s[0],l=s[1],c=s[2],u=s[3],h=this.shape,d=h.width,f=h.height;return{x:u,y:o,width:d-(u+l),height:f-(o+c)}},enumerable:!1,configurable:!0}),t.prototype.getValues=function(){return this.values},t.prototype.setValues=function(e,n){e===void 0&&(e=[0,0]),n===void 0&&(n=!1),this.attributes.values=e;var i=n===!1?!1:this.attributes.animate;this.updateSelectionArea(i),this.updateHandlesPosition(i)},t.prototype.updateSelectionArea=function(e){var n=this.calcSelectionArea();this.foregroundGroup.selectAll(sa.selection.class).each(function(i,a){Wi(this,n[a],e)})},t.prototype.updateHandlesPosition=function(e){this.attributes.showHandle&&(this.startHandle&&Wi(this.startHandle,this.getHandleStyle("start"),e),this.endHandle&&Wi(this.endHandle,this.getHandleStyle("end"),e))},t.prototype.innerSetValues=function(e,n){e===void 0&&(e=[0,0]),n===void 0&&(n=!1);var i=this.values,a=this.clampValues(e);this.attributes.values=a,this.setValues(a),n&&this.onValueChange(i)},t.prototype.renderTrack=function(e){var n=this.attributes,i=n.x,a=n.y,s=ke(this.attributes,"track");this.trackShape=ve(e).maybeAppendByClassName(sa.track,"rect").styles((0,G.pi)((0,G.pi)({x:i,y:a},this.shape),s))},t.prototype.renderBrushArea=function(e){var n=this.attributes,i=n.x,a=n.y,s=n.brushable;this.brushArea=ve(e).maybeAppendByClassName(sa.brushArea,"rect").styles((0,G.pi)({x:i,y:a,fill:"transparent",cursor:s?"crosshair":"default"},this.shape))},t.prototype.renderSparkline=function(e){var n=this,i=this.attributes,a=i.x,s=i.y,o=i.orientation,l=ve(e).maybeAppendByClassName(sa.sparklineGroup,"g");Qr(o==="horizontal",l,function(c){var u=(0,G.pi)((0,G.pi)({},n.sparklineStyle),{x:a,y:s});c.maybeAppendByClassName(sa.sparkline,function(){return new H5({style:u})}).update(u)})},t.prototype.renderHandles=function(){var e=this,n,i=this.attributes,a=i.showHandle,s=i.type,o=s==="range"?["start","end"]:["end"],l=a?o:[],c=this;(n=this.foregroundGroup)===null||n===void 0||n.selectAll(sa.handle.class).data(l.map(function(u){return{type:u}}),function(u){return u.type}).join(function(u){return u.append(function(h){var d=h.type;return new K5({style:e.getHandleStyle(d)})}).each(function(h){var d=h.type;this.attr("class","".concat(sa.handle.name," ").concat(d,"-handle"));var f="".concat(d,"Handle");c[f]=this,this.addEventListener("pointerdown",c.onDragStart(d))})},function(u){return u.each(function(h){var d=h.type;this.update(c.getHandleStyle(d))})},function(u){return u.each(function(h){var d=h.type,f="".concat(d,"Handle");c[f]=void 0}).remove()})},t.prototype.renderSelection=function(e){var n=this.attributes,i=n.x,a=n.y,s=n.type,o=n.selectionType;this.foregroundGroup=ve(e).maybeAppendByClassName(sa.foreground,"g");var l=ke(this.attributes,"selection"),c=function(h){return h.style("visibility",function(d){return d.show?"visible":"hidden"}).style("cursor",function(d){return o==="select"?"grab":o==="invert"?"crosshair":"default"}).styles((0,G.pi)((0,G.pi)({},l),{transform:"translate(".concat(i,", ").concat(a,")")}))},u=this;this.foregroundGroup.selectAll(sa.selection.class).data(s==="value"?[]:this.calcSelectionArea().map(function(h,d){return{style:(0,G.pi)({},h),index:d,show:o==="select"?d===1:d!==1}}),function(h){return h.index}).join(function(h){return h.append("rect").attr("className",sa.selection.name).call(c).each(function(d,f){var v=this;f===1?(u.selectionShape=ve(this),this.on("pointerdown",function(g){v.attr("cursor","grabbing"),u.onDragStart("selection")(g)}),u.dispatchCustomEvent(this,"pointerenter","selectionMouseenter"),u.dispatchCustomEvent(this,"pointerleave","selectionMouseleave"),u.dispatchCustomEvent(this,"click","selectionClick"),this.addEventListener("pointerdown",function(){v.attr("cursor","grabbing")}),this.addEventListener("pointerup",function(){v.attr("cursor","pointer")}),this.addEventListener("pointerover",function(){v.attr("cursor","pointer")})):this.on("pointerdown",u.onDragStart("track"))})},function(h){return h.call(c)},function(h){return h.remove()}),this.updateSelectionArea(!1),this.renderHandles()},t.prototype.render=function(e,n){this.renderTrack(n),this.renderSparkline(n),this.renderBrushArea(n),this.renderSelection(n)},t.prototype.clampValues=function(e,n){var i;n===void 0&&(n=4);var a=(0,G.CR)(this.range,2),s=a[0],o=a[1],l=(0,G.CR)(this.getValues().map(function(p){return y0(p,n)}),2),c=l[0],u=l[1],h=Array.isArray(e)?e:[c,e!=null?e:u],d=(0,G.CR)((h||[c,u]).map(function(p){return y0(p,n)}),2),f=d[0],v=d[1];if(this.attributes.type==="value")return[0,kn(v,s,o)];f>v&&(i=(0,G.CR)([v,f],2),f=i[0],v=i[1]);var g=v-f;return g>o-s?[s,o]:fo?u===o&&c===f?[f,o]:[o-g,o]:[f,v]},t.prototype.calcSelectionArea=function(e){var n=(0,G.CR)(this.clampValues(e),2),i=n[0],a=n[1],s=this.availableSpace,o=s.x,l=s.y,c=s.width,u=s.height;return this.getOrientVal([[{y:l,height:u,x:o,width:i*c},{y:l,height:u,x:i*c+o,width:(a-i)*c},{y:l,height:u,x:a*c,width:(1-a)*c}],[{x:o,width:c,y:l,height:i*u},{x:o,width:c,y:i*u+l,height:(a-i)*u},{x:o,width:c,y:a*u,height:(1-a)*u}]])},t.prototype.calcHandlePosition=function(e){var n=this.attributes.handleIconOffset,i=this.availableSpace,a=i.x,s=i.y,o=i.width,l=i.height,c=(0,G.CR)(this.clampValues(),2),u=c[0],h=c[1],d=e==="start"?-n:n,f=(e==="start"?u:h)*this.getOrientVal([o,l])+d;return{x:a+this.getOrientVal([f,o/2]),y:s+this.getOrientVal([l/2,f])}},t.prototype.inferTextStyle=function(e){var n=this.attributes.orientation;return n==="horizontal"?{}:e==="start"?{transformOrigin:"left center",transform:"rotate(90)",textAlign:"start"}:e==="end"?{transformOrigin:"right center",transform:"rotate(90)",textAlign:"end"}:{}},t.prototype.calcHandleText=function(e){var n,i=this.attributes,a=i.type,s=i.orientation,o=i.formatter,l=i.autoFitLabel,c=ke(this.attributes,"handle"),u=ke(c,"label"),h=c.spacing,d=this.getHandleSize(),f=this.clampValues(),v=e==="start"?f[0]:f[1],g=o(v),p=new $v({style:(0,G.pi)((0,G.pi)((0,G.pi)({},u),this.inferTextStyle(e)),{text:g})}),y=p.getBBox(),b=y.width,E=y.height;if(p.destroy(),!l){if(a==="value")return{text:g,x:0,y:-E-h};var O=h+d+(s==="horizontal"?b/2:0);return n={text:g},n[s==="horizontal"?"x":"y"]=e==="start"?-O:O,n}var P=0,R=0,F=this.availableSpace,I=F.width,V=F.height,Y=this.calcSelectionArea()[1],J=Y.x,$=Y.y,ot=Y.width,ct=Y.height,ft=h+d;if(s==="horizontal"){var Nt=ft+b/2;if(e==="start"){var Ot=J-ft-b;P=Ot>0?-Nt:Nt}else{var mt=I-J-ot-ft>b;P=mt?Nt:-Nt}}else{var yt=ft,Rt=E+ft;e==="start"?R=$-d>E?-Rt:yt:R=V-($+ct)-d>E?Rt:-yt}return{x:P,y:R,text:g}},t.prototype.getHandleLabelStyle=function(e){var n=ke(this.attributes,"handleLabel");return(0,G.pi)((0,G.pi)((0,G.pi)({},n),this.calcHandleText(e)),this.inferTextStyle(e))},t.prototype.getHandleIconStyle=function(){var e=this.attributes.handleIconShape,n=ke(this.attributes,"handleIcon"),i=this.getOrientVal(["ew-resize","ns-resize"]),a=this.getHandleSize();return(0,G.pi)({cursor:i,shape:e,size:a},n)},t.prototype.getHandleStyle=function(e){var n=this.attributes,i=n.x,a=n.y,s=n.showLabel,o=n.showLabelOnInteraction,l=n.orientation,c=this.calcHandlePosition(e),u=c.x,h=c.y,d=this.calcHandleText(e),f=s;return!s&&o&&(this.target?f=!0:f=!1),(0,G.pi)((0,G.pi)((0,G.pi)({},Mo(this.getHandleIconStyle(),"icon")),Mo((0,G.pi)((0,G.pi)({},this.getHandleLabelStyle(e)),d),"label")),{transform:"translate(".concat(u+i,", ").concat(h+a,")"),orientation:l,showLabel:f,type:e,zIndex:3})},t.prototype.getHandleSize=function(){var e=this.attributes,n=e.handleIconSize,i=e.width,a=e.height;return n||Math.floor((this.getOrientVal([+a,+i])+4)/2.4)},t.prototype.getOrientVal=function(e){var n=(0,G.CR)(e,2),i=n[0],a=n[1],s=this.attributes.orientation;return s==="horizontal"?i:a},t.prototype.setValuesOffset=function(e,n){n===void 0&&(n=0);var i=this.attributes.type,a=(0,G.CR)(this.getValues(),2),s=a[0],o=a[1],l=i==="range"?e:0,c=[s+l,o+n].sort();this.innerSetValues(c,!0)},t.prototype.getRatio=function(e){var n=this.availableSpace,i=n.width,a=n.height;return e/this.getOrientVal([i,a])},t.prototype.dispatchCustomEvent=function(e,n,i){var a=this;e.on(n,function(s){s.stopPropagation(),a.dispatchEvent(new Qn(i,{detail:s}))})},t.prototype.bindEvents=function(){this.addEventListener("wheel",this.onScroll);var e=this.brushArea;this.dispatchCustomEvent(e,"click","trackClick"),this.dispatchCustomEvent(e,"pointerenter","trackMouseenter"),this.dispatchCustomEvent(e,"pointerleave","trackMouseleave"),e.on("pointerdown",this.onDragStart("track"))},t.prototype.onScroll=function(e){var n=this.attributes.scrollable;if(n){var i=e.deltaX,a=e.deltaY,s=a||i,o=this.getRatio(s);this.setValuesOffset(o,o)}},t.tag="slider",t}(Ln),q5={backgroundFill:"#262626",backgroundLineCap:"round",backgroundLineWidth:1,backgroundStroke:"#333",backgroundZIndex:-1,formatter:function(r){return r.toString()},labelFill:"#fff",labelFontSize:12,labelTextBaseline:"middle",padding:[2,4],position:"right",radius:0,zIndex:999},N0=Zi({background:"background",labelGroup:"label-group",label:"label"},"indicator"),J5=function(r){(0,G.ZT)(t,r);function t(e){var n=r.call(this,e,q5)||this;return n.point=[0,0],n.group=n.appendChild(new rr({})),n.isMutationObserved=!0,n}return t.prototype.renderBackground=function(){if(this.label){var e=this.attributes,n=e.position,i=e.padding,a=(0,G.CR)(xr(i),4),s=a[0],o=a[1],l=a[2],c=a[3],u=this.label.node().getLocalBounds(),h=u.min,d=u.max,f=new Cr(h[0]-c,h[1]-s,d[0]+o-h[0]+c,d[1]+l-h[1]+s),v=this.getPath(n,f),g=ke(this.attributes,"background");this.background=ve(this.group).maybeAppendByClassName(N0.background,"path").styles((0,G.pi)((0,G.pi)({},g),{d:v})),this.group.appendChild(this.label.node())}},t.prototype.renderLabel=function(){var e=this.attributes,n=e.formatter,i=e.labelText,a=ke(this.attributes,"label"),s=(0,G.CR)(wa(a),2),o=s[0],l=s[1],c=o.text,u=(0,G._T)(o,["text"]);if(this.label=ve(this.group).maybeAppendByClassName(N0.labelGroup,"g").styles(l),!!i){var h=this.label.maybeAppendByClassName(N0.label,function(){return Sa(n(i))}).style("text",n(i).toString());h.selectAll("text").styles(u)}},t.prototype.adjustLayout=function(){var e=(0,G.CR)(this.point,2),n=e[0],i=e[1],a=this.attributes,s=a.x,o=a.y;this.group.attr("transform","translate(".concat(s-n,", ").concat(o-i,")"))},t.prototype.getPath=function(e,n){var i=this.attributes.radius,a=n.x,s=n.y,o=n.width,l=n.height,c=[["M",a+i,s],["L",a+o-i,s],["A",i,i,0,0,1,a+o,s+i],["L",a+o,s+l-i],["A",i,i,0,0,1,a+o-i,s+l],["L",a+i,s+l],["A",i,i,0,0,1,a,s+l-i],["L",a,s+i],["A",i,i,0,0,1,a+i,s],["Z"]],u={top:4,right:6,bottom:0,left:2},h=u[e],d=this.createCorner([c[h].slice(-2),c[h+1].slice(-2)]);return 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0:h.time)!==null&&a!==void 0?a:1/0]},t.prototype.setByIndex=function(e){var n,i,a,s,o=this.data,l=(0,G.CR)(e,2),c=l[0],u=l[1];this.states.values=[(i=(n=o[c])===null||n===void 0?void 0:n.time)!==null&&i!==void 0?i:o[0].time,(s=(a=this.data[u])===null||a===void 0?void 0:a.time)!==null&&s!==void 0?s:1/0]},Object.defineProperty(t.prototype,"sliderValues",{get:function(){var e=this.states,n=e.values,i=e.selectionType,a=(0,G.CR)(Array.isArray(n)?n:[void 0,n],2),s=a[0],o=a[1],l=this.data,c=l.length,u=i==="value",h=function(){var f=l.findIndex(function(v){var g=v.time;return g===s});return u?0:f>-1?f/c:0},d=function(){if(o===1/0)return 1;var f=l.findIndex(function(v){var g=v.time;return g===o});return f>-1?f/c:u?.5:1};return[h(),d()]},enumerable:!1,configurable:!0}),Object.defineProperty(t.prototype,"values",{get:function(){var e=this.states,n=e.values,i=e.selectionType,a=(0,G.CR)(Array.isArray(n)?n:[this.data[0].time,n],2),s=a[0],o=a[1];return i==="value"?o:[s,o]},enumerable:!1,configurable:!0}),t.prototype.getDatumByRatio=function(e){var n=this.data,i=n.length,a=Math.floor(e*(i-1));return n[a]},Object.defineProperty(t.prototype,"chartHandleIconShape",{get:function(){var e=this.states.selectionType,n=this.space.timelineBBox.height;return e==="range"?function(i){return new v4({style:{type:i,height:n,iconSize:n/6}})}:function(){return new As({style:{x1:0,y1:-n/2,x2:0,y2:n/2,lineWidth:2,stroke:"#c8c8c8"}})}},enumerable:!1,configurable:!0}),t.prototype.getChartStyle=function(e){var n=this,i=e.x,a=e.y,s=e.width,o=e.height,l=this.states,c=l.selectionType,u=l.chartType,h=this.data,d=this.attributes,f=d.type,v=d.labelFormatter,g=ke(this.attributes,"chart"),p=g.type,y=(0,G._T)(g,["type"]),b=c==="range";if(f==="time")return(0,G.pi)({handleIconShape:function(){return new 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0||i.call(n),this.dispatchOnChange()),a},t.prototype.backward=function(){this.internalBackward()},t.prototype.internalPlay=function(e){var n=this,i,a,s=this.data,o=this.attributes.loop,l=this.states.speed,c=l===void 0?1:l;this.playInterval=window.setInterval(function(){var u=n.internalForward();u[1]===s.length&&!o&&(n.internalPause(),n.renderController())},1e3/c),this.states.state="play",!e&&((a=(i=this.attributes)===null||i===void 0?void 0:i.onPlay)===null||a===void 0||a.call(i))},t.prototype.play=function(){this.internalPlay()},t.prototype.internalPause=function(e){var n,i;clearInterval(this.playInterval),this.states.state="pause",!e&&((i=(n=this.attributes)===null||n===void 0?void 0:n.onPause)===null||i===void 0||i.call(n))},t.prototype.pause=function(){this.internalPause()},t.prototype.internalForward=function(e){var n,i,a=this.moveSelection("forward",e);return e||((i=(n=this.attributes)===null||n===void 0?void 0:n.onForward)===null||i===void 0||i.call(n),this.dispatchOnChange()),a},t.prototype.forward=function(){this.internalForward()},t.prototype.handleSpeedChange=function(e){var n,i;this.states.speed=e;var a=this.states.state;a==="play"&&(this.internalPause(!0),this.internalPlay(!0)),(i=(n=this.attributes)===null||n===void 0?void 0:n.onSpeedChange)===null||i===void 0||i.call(n,e)},t.prototype.handleSelectionTypeChange=function(e){var n,i;this.states.selectionType=e,this.renderChart(),(i=(n=this.attributes)===null||n===void 0?void 0:n.onSelectionTypeChange)===null||i===void 0||i.call(n,e)},t.prototype.handleChartTypeChange=function(e){var n,i;this.states.chartType=e,this.renderChart(),(i=(n=this.attributes)===null||n===void 0?void 0:n.onChartTypeChange)===null||i===void 0||i.call(n,e)},t.prototype.render=function(){var e=this.space,n=e.axisBBox,i=e.controllerBBox,a=e.timelineBBox;this.renderController(i),this.renderAxis(n),this.renderChart(a),this.states.state==="play"&&this.internalPlay()},t.prototype.destroy=function(){r.prototype.destroy.call(this),this.internalPause(!0)},t.defaultOptions={style:{x:0,y:0,axisLabelFill:"#6e6e6e",axisLabelTextAlign:"left",axisLabelTextBaseline:"top",axisLabelTransform:"translate(5, -12)",axisLineLineWidth:1,axisLineStroke:"#cacdd1",axisTickLength:15,axisTickLineWidth:1,axisTickStroke:"#cacdd1",chartShowLabel:!1,chartType:"line",controllerAlign:"center",controllerHeight:40,data:[],interval:"day",loop:!1,playMode:"acc",selectionType:"range",type:"time"}},t}(Ln);function y4(r){return r instanceof Date}var b4=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 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0||E.call(u,b),(O=u==null?void 0:u.after)===null||O===void 0||O.call(u),this.animations.delete(b)})):(f=u==null?void 0:u.after)===null||f===void 0||f.call(u),b}).filter(Boolean);o.forEach(c=>this.animations.add(c));const l=Cf(o);return l?((a=e==null?void 0:e.beforeAnimate)===null||a===void 0||a.call(e,l),l.finished.then(()=>{var c,u;(c=e==null?void 0:e.afterAnimate)===null||c===void 0||c.call(e,l),(u=e==null?void 0:e.after)===null||u===void 0||u.call(e),this.release()})):(s=e==null?void 0:e.after)===null||s===void 0||s.call(e),l}inferStyle(t,e){var n,i;const{element:a,elementType:s,stage:o,originalStyle:l,updatedStyle:c={}}=t;t.modifiedStyle||(t.modifiedStyle=Object.assign(Object.assign({},l),c));const{modifiedStyle:u}=t,h={},d={};if(o==="enter")Object.assign(h,{opacity:0});else if(o==="exit")Object.assign(d,{opacity:0});else if(o==="show")Object.assign(h,{opacity:0}),Object.assign(d,{opacity:(n=ZE(a,"opacity"))!==null&&n!==void 0?n:hl("opacity")});else if(o==="hide")Object.assign(h,{opacity:(i=ZE(a,"opacity"))!==null&&i!==void 0?i:hl("opacity")}),Object.assign(d,{opacity:0});else if(o==="collapse"){const{collapse:f}=e||{},{target:v,descendants:g,position:p}=f;if(s==="node"){if(g.includes(a.id)){const[y,b,E]=p;Object.assign(d,{x:y,y:b,z:E})}}else if(s==="combo"){if(a.id===v||g.includes(a.id)){const[y,b]=p;Object.assign(d,{x:y,y:b,childrenNode:l.childrenNode})}}else s==="edge"&&Object.assign(d,{sourceNode:u.sourceNode,targetNode:u.targetNode})}else if(o==="expand"){const{expand:f}=e||{},{target:v,descendants:g,position:p}=f;if(s==="node"){if(a.id===v||g.includes(a.id)){const[y,b,E]=p;Object.assign(h,{x:y,y:b,z:E})}}else if(s==="combo"){if(a.id===v||g.includes(a.id)){const[y,b,E]=p;Object.assign(h,{x:y,y:b,z:E,childrenNode:u.childrenNode})}}else s==="edge"&&Object.assign(h,{sourceNode:u.sourceNode,targetNode:u.targetNode})}return[Object.keys(h).length>0?Object.assign({},l,h):l,Object.keys(d).length>0?Object.assign({},u,d):u]}stop(){this.animations.forEach(t=>t.cancel())}clear(){this.tasks=[]}release(){var t,e;const{canvas:n}=this.context,i=(e=(t=n.document)===null||t===void 0?void 0:t.timeline)===null||e===void 0?void 0:e.animationsWithPromises;i&&(n.document.timeline.animationsWithPromises=i.filter(a=>a.playState!=="finished"))}destroy(){this.stop(),this.animations.clear(),this.tasks=[]}}class nB{constructor(t){this.batchCount=0,this.context=t}emit(t){const{graph:e}=this.context;e.emit(t.type,t)}startBatch(t=!0){this.batchCount++,this.batchCount===1&&this.emit(new $n(Kt.BATCH_START,{initiate:t}))}endBatch(){this.batchCount--,this.batchCount===0&&this.emit(new $n(Kt.BATCH_END))}get isBatching(){return this.batchCount>0}destroy(){this.context=null}}class rB extends Gf{constructor(t){super(t),this.currentTarget=null,this.currentTargetType=null,this.category="behavior",this.forwardCanvasEvents=e=>{const{target:n}=e,i=J4(n);if(!i)return;const{graph:a,canvas:s}=this.context,{type:o,element:l}=i;if("destroyed"in l&&(Ol(l)||l.destroyed))return;const{type:c,detail:u,button:h}=e,d=Object.assign(Object.assign({},e),{target:l,targetType:o,originalTarget:n});c===Bt.POINTER_MOVE&&(this.currentTarget!==l&&(this.currentTarget&&a.emit(`${this.currentTargetType}:${Bt.POINTER_LEAVE}`,Object.assign(Object.assign({},d),{type:Bt.POINTER_LEAVE,target:this.currentTarget,targetType:this.currentTargetType})),l&&(Object.assign(d,{type:Bt.POINTER_ENTER}),a.emit(`${o}:${Bt.POINTER_ENTER}`,d))),this.currentTarget=l,this.currentTargetType=o),c===Bt.CLICK&&h===2||(a.emit(`${o}:${c}`,d),a.emit(c,d)),c===Bt.CLICK&&u===2&&(Object.assign(d,{type:Bt.DBLCLICK}),a.emit(`${o}:${Bt.DBLCLICK}`,d),a.emit(Bt.DBLCLICK,d)),c===Bt.POINTER_DOWN&&h===2&&(Object.assign(d,{type:Bt.CONTEXT_MENU,preventDefault:()=>{var f;(f=s.getContainer())===null||f===void 0||f.addEventListener(Bt.CONTEXT_MENU,v=>v.preventDefault(),{once:!0})}}),a.emit(`${o}:${Bt.CONTEXT_MENU}`,d),a.emit(Bt.CONTEXT_MENU,d))},this.forwardContainerEvents=e=>{this.context.graph.emit(e.type,e)},this.forwardEvents(),this.setBehaviors(this.context.options.behaviors||[])}setBehaviors(t){this.setExtensions(t)}forwardEvents(){const t=this.context.canvas.getContainer();t&&[uo.KEY_DOWN,uo.KEY_UP].forEach(n=>{t.addEventListener(n,this.forwardContainerEvents)});const e=this.context.canvas.document;e&&[Bt.CLICK,Bt.DBLCLICK,Bt.POINTER_OVER,Bt.POINTER_LEAVE,Bt.POINTER_ENTER,Bt.POINTER_MOVE,Bt.POINTER_OUT,Bt.POINTER_DOWN,Bt.POINTER_UP,Bt.CONTEXT_MENU,Bt.DRAG_START,Bt.DRAG,Bt.DRAG_END,Bt.DRAG_ENTER,Bt.DRAG_OVER,Bt.DRAG_LEAVE,Bt.DROP,Bt.WHEEL].forEach(n=>{e.addEventListener(n,this.forwardCanvasEvents)})}destroy(){const t=this.context.canvas.getContainer();t&&[uo.KEY_DOWN,uo.KEY_UP].forEach(e=>{t.removeEventListener(e,this.forwardContainerEvents)}),this.context.canvas.document.removeAllEventListeners(),super.destroy()}}function iB(r,t){t===void 0&&(t=new Map);var e=[];if(Array.isArray(r))for(var n=0,i=r.length;nv.length!==g.length?!1:v.every((p,y)=>p===g[y]),f=(v,g)=>{const p=Object.keys(v),y=Object.keys(g);return p.length!==y.length?!1:p.every(b=>v[b]===g[b])};return!(!f(s,h)||!d(a,u)||!d(e,o)||!f(n,l)||!f(i,c))}var aB=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);i0}silence(t){this.isTraceless=!0,t(),this.isTraceless=!1}isCombo(t){return this.comboIds.has(t)||this.latestRemovedComboIds.has(t)}getData(){return{nodes:this.getNodeData(),edges:this.getEdgeData(),combos:this.getComboData()}}getNodeData(t){return this.model.getAllNodes().reduce((e,n)=>{const i=fr(n);return this.isCombo(At(i))||(t===void 0||t.includes(At(i)))&&e.push(i),e},[])}getEdgeDatum(t){return fr(this.model.getEdge(t))}getEdgeData(t){return this.model.getAllEdges().reduce((e,n)=>{const i=fr(n);return(t===void 0||t.includes(At(i)))&&e.push(i),e},[])}getComboData(t){return this.model.getAllNodes().reduce((e,n)=>{const i=fr(n);return this.isCombo(At(i))&&(t===void 0||t.includes(At(i)))&&e.push(i),e},[])}getRootsData(t=ii){return this.model.getRoots(t).map(fr)}getAncestorsData(t,e){const{model:n}=this;return!n.hasNode(t)||!n.hasTreeStructure(e)?[]:n.getAncestors(t,e).map(fr)}getDescendantsData(t){const e=this.getElementDataById(t),n=[];return _s(e,i=>{i!==e&&n.push(i)},i=>this.getChildrenData(At(i)),"TB"),n}getParentData(t,e){const{model:n}=this;if(!e){Xr.warn("The hierarchy structure key is not specified");return}if(!n.hasNode(t)||!n.hasTreeStructure(e))return;const i=n.getParent(t,e);return i?fr(i):void 0}getChildrenData(t){const e=this.getElementType(t)==="node"?ii:dn,{model:n}=this;return!n.hasNode(t)||!n.hasTreeStructure(e)?[]:n.getChildren(t,e).map(fr)}getElementsDataByType(t){return t==="node"?this.getNodeData():t==="edge"?this.getEdgeData():t==="combo"?this.getComboData():[]}getElementDataById(t){return this.getElementType(t)==="edge"?this.getEdgeDatum(t):this.getNodeLikeDatum(t)}getNodeLikeDatum(t){const e=this.model.getNode(t);return fr(e)}getNodeLikeData(t){return this.model.getAllNodes().reduce((e,n)=>{const i=fr(n);return t?t.includes(At(i))&&e.push(i):e.push(i),e},[])}getElementDataByState(t,e){return this.getElementsDataByType(t).filter(i=>{var a;return(a=i.states)===null||a===void 0?void 0:a.includes(e)})}getElementState(t){var e;return((e=this.getElementDataById(t))===null||e===void 0?void 0:e.states)||[]}hasNode(t){return this.model.hasNode(t)&&!this.isCombo(t)}hasEdge(t){return this.model.hasEdge(t)}hasCombo(t){return this.model.hasNode(t)&&this.isCombo(t)}getRelatedEdgesData(t,e="both"){return this.model.getRelatedEdges(t,e).map(fr)}getNeighborNodesData(t){return this.model.getNeighbors(t).map(fr)}setData(t){const{nodes:e=[],edges:n=[],combos:i=[]}=t,{nodes:a,edges:s,combos:o}=this.getData(),l=ja(a,e,h=>At(h),Lo),c=ja(s,n,h=>At(h),Lo),u=ja(o,i,h=>At(h),Lo);this.batch(()=>{const h={nodes:l.enter,edges:c.enter,combos:u.enter};this.addData(h),this.computeZIndex(h,"add",!0);const d={nodes:l.update,edges:c.update,combos:u.update};this.updateData(d),this.computeZIndex(d,"update",!0);const f={nodes:l.exit.map(At),edges:c.exit.map(At),combos:u.exit.map(At)};this.removeData(f)})}addData(t){const{nodes:e,edges:n,combos:i}=t;this.batch(()=>{this.addComboData(i),this.addNodeData(e),this.addEdgeData(n)}),this.computeZIndex(t,"add")}addNodeData(t=[]){t.length&&(this.model.addNodes(t.map(e=>(this.pushChange({value:e,type:wn.NodeAdded}),j0(e)))),this.updateNodeLikeHierarchy(t),this.computeZIndex({nodes:t},"add"))}addEdgeData(t=[]){t.length&&(this.model.addEdges(t.map(e=>(this.pushChange({value:e,type:wn.EdgeAdded}),j0(e)))),this.computeZIndex({edges:t},"add"))}addComboData(t=[]){if(!t.length)return;const{model:e}=this;e.hasTreeStructure(dn)||e.attachTreeStructure(dn),e.addNodes(t.map(n=>(this.comboIds.add(At(n)),this.pushChange({value:n,type:wn.ComboAdded}),j0(n)))),this.updateNodeLikeHierarchy(t),this.computeZIndex({combos:t},"add")}addChildrenData(t,e){const n=this.getNodeLikeDatum(t),i=e.map(At);this.addNodeData(e),this.updateNodeData([{id:t,children:[...n.children||[],...i]}]),this.addEdgeData(i.map(a=>({source:t,target:a})))}computeZIndex(t,e,n=!1){!n&&this.isBatching()||this.batch(()=>{const{nodes:i=[],edges:a=[],combos:s=[]}=t;s.forEach(o=>{var l,c,u;const h=At(o);if(e==="add"&&ie((l=o.style)===null||l===void 0?void 0:l.zIndex)||e==="update"&&!("combo"in o))return;const d=this.getParentData(h,dn),f=d?((u=(c=d.style)===null||c===void 0?void 0:c.zIndex)!==null&&u!==void 0?u:0)+1:0;this.preventUpdateNodeLikeHierarchy(()=>{this.updateComboData([{id:h,style:{zIndex:f}}])})}),i.forEach(o=>{var l,c,u;const h=At(o);if(e==="add"&&ie((l=o.style)===null||l===void 0?void 0:l.zIndex)||e==="update"&&!("combo"in o)&&!("children"in o))return;let d=0;const f=this.getParentData(h,dn);if(f)d=(((c=f.style)===null||c===void 0?void 0:c.zIndex)||0)+1;else{const v=this.getParentData(h,ii);v&&(d=((u=v==null?void 0:v.style)===null||u===void 0?void 0:u.zIndex)||0)}this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:h,style:{zIndex:d}}])})}),a.forEach(o=>{var l,c,u,h,d;if(ie((l=o.style)===null||l===void 0?void 0:l.zIndex))return;let{id:f,source:v,target:g}=o;if(!f)f=At(o);else{const b=this.getEdgeDatum(f);v=b.source,g=b.target}if(!v||!g)return;const p=((u=(c=this.getNodeLikeDatum(v))===null||c===void 0?void 0:c.style)===null||u===void 0?void 0:u.zIndex)||0,y=((d=(h=this.getNodeLikeDatum(g))===null||h===void 0?void 0:h.style)===null||d===void 0?void 0:d.zIndex)||0;this.updateEdgeData([{id:At(o),style:{zIndex:Math.max(p,y)-1}}])})})}getFrontZIndex(t){var e;const n=this.getElementType(t),i=this.getElementDataById(t),a=this.getData();if(Object.assign(a,{[`${n}s`]:a[`${n}s`].filter(s=>At(s)!==t)}),n==="combo"&&!Kr(i)){const s=new Set(this.getAncestorsData(t,dn).map(At));a.nodes=a.nodes.filter(o=>!s.has(At(o))),a.combos=a.combos.filter(o=>!s.has(At(o))),a.edges=a.edges.filter(({source:o,target:l})=>!s.has(o)&&!s.has(l))}return Math.max(((e=i.style)===null||e===void 0?void 0:e.zIndex)||0,0,...Object.values(a).flat().map(s=>{var o;return(((o=s==null?void 0:s.style)===null||o===void 0?void 0:o.zIndex)||0)+1}))}updateNodeLikeHierarchy(t){if(!this.enableUpdateNodeLikeHierarchy)return;const{model:e}=this;t.forEach(n=>{const i=At(n),a=lu(n);a!==void 0&&(e.hasTreeStructure(dn)||e.attachTreeStructure(dn),a===null&&this.refreshComboData(i),this.setParent(i,lu(n),dn));const s=n.children||[];if(s.length){e.hasTreeStructure(ii)||e.attachTreeStructure(ii);const o=s.filter(l=>e.hasNode(l));o.forEach(l=>this.setParent(l,i,ii)),o.length!==s.length&&this.updateNodeData([{id:i,children:o}])}})}preventUpdateNodeLikeHierarchy(t){this.enableUpdateNodeLikeHierarchy=!1,t(),this.enableUpdateNodeLikeHierarchy=!0}updateData(t){const{nodes:e,edges:n,combos:i}=t;this.batch(()=>{this.updateNodeData(e),this.updateComboData(i),this.updateEdgeData(n)}),this.computeZIndex(t,"update")}updateNodeData(t=[]){if(!t.length)return;const{model:e}=this;this.batch(()=>{const n=[];t.forEach(i=>{const a=At(i),s=fr(e.getNode(a));if(Lo(s,i))return;const o=es(s,i);this.pushChange({value:o,original:s,type:wn.NodeUpdated}),e.mergeNodeData(a,o),n.push(o)}),this.updateNodeLikeHierarchy(n)}),this.computeZIndex({nodes:t},"update")}refreshData(){const{nodes:t,edges:e,combos:n}=this.getData();t.forEach(i=>{this.pushChange({value:i,original:i,type:wn.NodeUpdated})}),e.forEach(i=>{this.pushChange({value:i,original:i,type:wn.EdgeUpdated})}),n.forEach(i=>{this.pushChange({value:i,original:i,type:wn.ComboUpdated})})}syncNodeLikeDatum(t){const{model:e}=this,n=At(t);if(!e.hasNode(n))return;const i=fr(e.getNode(n)),a=es(i,t);e.mergeNodeData(n,a)}syncEdgeDatum(t){const{model:e}=this,n=At(t);if(!e.hasEdge(n))return;const i=fr(e.getEdge(n)),a=es(i,t);e.mergeEdgeData(n,a)}updateEdgeData(t=[]){if(!t.length)return;const{model:e}=this;this.batch(()=>{t.forEach(n=>{const i=At(n),a=fr(e.getEdge(i));if(Lo(a,n))return;n.source&&a.source!==n.source&&e.updateEdgeSource(i,n.source),n.target&&a.target!==n.target&&e.updateEdgeTarget(i,n.target);const s=es(a,n);this.pushChange({value:s,original:a,type:wn.EdgeUpdated}),e.mergeEdgeData(i,s)})}),this.computeZIndex({edges:t},"update")}updateComboData(t=[]){if(!t.length)return;const{model:e}=this;e.batch(()=>{const n=[];t.forEach(i=>{const a=At(i),s=fr(e.getNode(a));if(Lo(s,i))return;const o=es(s,i);this.pushChange({value:o,original:s,type:wn.ComboUpdated}),e.mergeNodeData(a,o),n.push(o)}),this.updateNodeLikeHierarchy(n)}),this.computeZIndex({combos:t},"update")}setParent(t,e,n,i=!0){if(t===e)return;const a=this.getNodeLikeDatum(t),s=lu(a);if(s!==e&&n===dn){const o={id:t,combo:e};this.isCombo(t)?this.syncNodeLikeDatum(o):this.syncNodeLikeDatum(o)}this.model.setParent(t,e,n),i&&n===dn&&iB([s,e]).forEach(o=>{o!==void 0&&this.refreshComboData(o)})}refreshComboData(t){const e=this.getComboData([t])[0],n=this.getAncestorsData(t,dn);e&&this.pushChange({value:e,original:e,type:wn.ComboUpdated}),n.forEach(i=>{this.pushChange({value:i,original:i,type:wn.ComboUpdated})})}getElementPosition(t){const e=this.getElementDataById(t);return ir(e)}translateNodeLikeBy(t,e){this.isCombo(t)?this.translateComboBy(t,e):this.translateNodeBy(t,e)}translateNodeLikeTo(t,e){this.isCombo(t)?this.translateComboTo(t,e):this.translateNodeTo(t,e)}translateNodeBy(t,e){const n=this.getElementPosition(t),i=Ne(n,[...e,0].slice(0,3));this.translateNodeTo(t,i)}translateNodeTo(t,e){const[n=0,i=0,a=0]=e;this.preventUpdateNodeLikeHierarchy(()=>{this.updateNodeData([{id:t,style:{x:n,y:i,z:a}}])})}translateComboBy(t,e){const[n=0,i=0,a=0]=e;if([n,i,a].some(isNaN)||[n,i,a].every(l=>l===0))return;const s=this.getComboData([t])[0];if(!s)return;const o=new Set;_s(s,l=>{const c=At(l);if(o.has(c))return;o.add(c);const[u,h,d]=ir(l),f=es(l,{style:{x:u+n,y:h+i,z:d+a}});this.pushChange({value:f,original:l,type:this.isCombo(c)?wn.ComboUpdated:wn.NodeUpdated}),this.model.mergeNodeData(c,f)},l=>this.getChildrenData(At(l)),"BT")}translateComboTo(t,e){var n;if(e.some(isNaN))return;const[i=0,a=0,s=0]=e,o=(n=this.getComboData([t]))===null||n===void 0?void 0:n[0];if(!o)return;const[l,c,u]=ir(o),h=i-l,d=a-c,f=s-u;_s(o,v=>{const g=At(v),[p,y,b]=ir(v),E=es(v,{style:{x:p+h,y:y+d,z:b+f}});this.pushChange({value:E,original:v,type:this.isCombo(g)?wn.ComboUpdated:wn.NodeUpdated}),this.model.mergeNodeData(g,E)},v=>this.getChildrenData(At(v)),"BT")}removeData(t){const{nodes:e,edges:n,combos:i}=t;this.batch(()=>{this.removeEdgeData(n),this.removeNodeData(e),this.removeComboData(i),this.latestRemovedComboIds=new Set(i)})}removeNodeData(t=[]){t.length&&this.batch(()=>{t.forEach(e=>{this.removeEdgeData(this.getRelatedEdgesData(e).map(At)),this.pushChange({value:this.getNodeData([e])[0],type:wn.NodeRemoved}),this.removeNodeLikeHierarchy(e)}),this.model.removeNodes(t)})}removeEdgeData(t=[]){t.length&&(t.forEach(e=>this.pushChange({value:this.getEdgeData([e])[0],type:wn.EdgeRemoved})),this.model.removeEdges(t))}removeComboData(t=[]){t.length&&this.batch(()=>{t.forEach(e=>{this.pushChange({value:this.getComboData([e])[0],type:wn.ComboRemoved}),this.removeNodeLikeHierarchy(e),this.comboIds.delete(e)}),this.model.removeNodes(t)})}removeNodeLikeHierarchy(t){if(this.model.hasTreeStructure(dn)){const e=lu(this.getNodeLikeDatum(t));this.setParent(t,void 0,dn,!1),this.model.getChildren(t,dn).forEach(n=>{const i=fr(n),a=At(i);this.setParent(At(i),e,dn,!1);const 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null;const{NodeAdded:a=[],NodeUpdated:s=[],NodeRemoved:o=[],EdgeAdded:l=[],EdgeUpdated:c=[],EdgeRemoved:u=[],ComboAdded:h=[],ComboUpdated:d=[],ComboRemoved:f=[]}=Xc(i,y=>y.type),v=y=>new Map(y.map(b=>{const E=b.value;return[At(E),E]})),g={add:{nodes:v(a),edges:v(l),combos:v(h)},update:{nodes:v(s),edges:v(c),combos:v(d)},remove:{nodes:v(o),edges:v(u),combos:v(f)}},p=this.transformData(g,t);return e.clearChanges(),{dataChanges:n,drawData:p}}transformData(t,e){const n=this.context.transform.getTransformInstance();return Object.values(n).reduce((i,a)=>a.beforeDraw(i,e),t)}createElement(t,e,n){var i;const a=At(e);if(this.getElement(a))return;const o=this.getElementType(t,e),l=this.getElementComputedStyle(t,e),c=ga(t,o);if(!c)return Xr.warn(`The element ${o} of ${t} is not registered.`);this.emit(new Po(Kt.BEFORE_ELEMENT_CREATE,t,e),n);const u=this.container.appendChild(new 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0,function*(){if(this.running)return this;this.running=!0;const e=this.layout.options,{onTick:n}=e,i=(0,G._T)(e,["onTick"]),a={};Object.keys(i).forEach(c=>{fe(i[c])||(a[c]=i[c])});const s={layout:{id:this.layout.id,options:a,iterations:(t=this.options)===null||t===void 0?void 0:t.iterations},nodes:this.graph.getAllNodes(),edges:this.graph.getAllEdges()},o=new Float32Array([0]),[l]=yield this.proxy.calculateLayout(s,[o]);return l})}stop(){return this.running=!1,this.proxy.stopLayout(),this}kill(){this.proxy[GE]()}isRunning(){return this.running}}var Do=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())})},EB=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 h=At(u),d=l.nodes.get(h);o.syncNodeLikeDatum(u),d&&Object.assign(d.style,u.style)}),(i=c==null?void 0:c.edges)===null||i===void 0||i.forEach(u=>{const h=At(u),d=l.edges.get(h);o.syncEdgeDatum(u),d&&Object.assign(d.style,u.style)}),(a=c==null?void 0:c.combos)===null||a===void 0||a.forEach(u=>{const h=At(u),d=l.combos.get(h);o.syncNodeLikeDatum(u),d&&Object.assign(d.style,u.style)}),sr(s,new $n(Kt.AFTER_LAYOUT,{type:"pre"})),this.transformDataAfterLayout("pre",t)})}postLayout(){return Do(this,arguments,void 0,function*(t=this.options){if(!t)return;const e=Array.isArray(t)?t:[t],{graph:n}=this.context;sr(n,new $n(Kt.BEFORE_LAYOUT,{type:"post"}));for(let i=0;ii.afterLayout(t,e))}simulate(){return Do(this,void 0,void 0,function*(){if(!this.options)return{};const t=Array.isArray(this.options)?this.options:[this.options];let e={};for(let n=0;n{this.updateElementPosition(c,!1)}}):(o.execute(t),o.stop(),o.tick(s));const l=yield o.execute(t);if(i){const c=this.updateElementPosition(l,i);yield c==null?void 0:c.finished}return l})}treeLayout(t,e,n){return Do(this,void 0,void 0,function*(){const{type:i,animation:a}=e,s=ga("layout",i);if(!s)return{};const{nodes:o=[],edges:l=[]}=t,c=new Un({nodes:o.map(v=>({id:At(v),data:v.data||{}})),edges:l.map(v=>({id:At(v),source:v.source,target:v.target,data:v.data||{}}))});sB(c);const u={nodes:[],edges:[]},h={nodes:[],edges:[]};c.getRoots(ii).forEach(v=>{_s(v,E=>{E.children=c.getSuccessors(E.id)},E=>c.getSuccessors(E.id),"TB");const g=s(v,e),{x:p,y,z:b=0}=g;_s(g,E=>{const{id:O,x:P,y:R,z:F=0}=E;u.nodes.push({id:O,style:{x:p,y,z:b}}),h.nodes.push({id:O,style:{x:P,y:R,z:F}})},E=>E.children,"TB")});const f=this.inferTreeLayoutOffset(h);if(JE(h,f),a){JE(u,f),this.updateElementPosition(u,!1);const v=this.updateElementPosition(h,a);yield v==null?void 0:v.finished}return h})}inferTreeLayoutOffset(t){var e;let[n,i]=[1/0,-1/0],[a,s]=[1/0,-1/0];(e=t.nodes)===null||e===void 0||e.forEach(g=>{const{x:p=0,y=0}=g.style||{};n=Math.min(n,p),i=Math.max(i,p),a=Math.min(a,y),s=Math.max(s,y)});const{canvas:o}=this.context,l=o.getSize(),[c,u]=o.getCanvasByViewport([0,0]),[h,d]=o.getCanvasByViewport(l);if(n>=c&&i<=h&&a>=u&&s<=d)return[0,0];const f=(c+h)/2,v=(u+d)/2;return[f-(n+i)/2,v-(a+s)/2]}stopLayout(){this.instance&&Bv(this.instance)&&(this.instance.stop(),this.instance=void 0),this.supervisor&&(this.supervisor.stop(),this.supervisor=void 0),this.animationResult&&(this.animationResult.finish(),this.animationResult=void 0)}getLayoutData(t){const{nodeFilter:e=()=>!0,comboFilter:n=()=>!0,preLayout:i=!1,isLayoutInvisibleNodes:a=!1}=t,{nodes:s,edges:o,combos:l}=this.context.model.getData(),{element:c,model:u}=this.context,h=y=>c.getElement(y),d=i?y=>{var b;return!a&&(((b=y.style)===null||b===void 0?void 0:b.visibility)==="hidden"||u.getAncestorsData(y.id,ii).some(Kr)||u.getAncestorsData(y.id,dn).some(Kr))?!1:e(y)}:y=>{const b=At(y),E=h(b);return!E||Ol(E)?!1:e(y)},f=s.filter(d),v=l.filter(n),g=new Map(f.map(y=>[At(y),y]));v.forEach(y=>g.set(At(y),y));const p=o.filter(({source:y,target:b})=>g.has(y)&&g.has(b));return{nodes:f,edges:p,combos:v}}initGraphLayout(t){var e;const{element:n,viewport:i}=this.context,{type:a,enableWorker:s,animation:o,iterations:l}=t,c=EB(t,["type","enableWorker","animation","iterations"]),[u,h]=i.getCanvasSize(),d=[u/2,h/2],f=(e=t==null?void 0:t.nodeSize)!==null&&e!==void 0?e:b=>{const E=n==null?void 0:n.getElement(b.id);return E?E.attributes.size:n==null?void 0:n.getElementComputedStyle("node",b).size},v=ga("layout",a);if(!v)return Xr.warn(`The layout of ${a} is not registered.`);const g=Object.getPrototypeOf(v.prototype)===Hu.prototype?v:cP(v,this.context),p=new g(this.context),y={nodeSize:f,width:u,height:h,center:d};switch(p.id){case"d3-force":case"d3-force-3d":Object.assign(y,{center:{x:u/2,y:h/2,z:0}});break;default:break}return mr(p.options,y,c),p}updateElementPosition(t,e){const{model:n,element:i}=this.context;return i?(n.updateData(t),i.draw({animation:e,silence:!0})):null}destroy(){var t;this.stopLayout(),this.context={},(t=this.supervisor)===null||t===void 0||t.kill(),this.supervisor=void 0,this.instance=void 0,this.instances=[],this.animationResult=void 0}}const JE=(r,t)=>{var e;const[n,i]=t;(e=r.nodes)===null||e===void 0||e.forEach(a=>{if(a.style){const{x:s=0,y:o=0}=a.style;a.style.x=s+n,a.style.y=o+i}else a.style={x:n,y:i}})};function SB(r){return[MB].reduce((e,n)=>n(e),r)}function MB(r){return!r.layout||Array.isArray(r.layout)||"preLayout"in r.layout||["antv-dagre","combo-combined","compact-box","circular","concentric","dagre","fishbone","grid","indented","mds","radial","random","snake","dendrogram","mindmap"].includes(r.layout.type)&&(r.layout.preLayout=!0),r}class AB extends Gf{constructor(t){super(t),this.category="plugin",this.setPlugins(this.context.options.plugins||[])}setPlugins(t){this.setExtensions(t)}getPluginInstance(t){const e=this.extensionMap[t];if(e)return e;Xr.warn(`Cannot find the plugin ${t}, will try to find it by type.`);const n=this.extensions.find(i=>i.type===t);if(n)return this.extensionMap[n.key]}}const ad=["update-related-edges","collapse-expand-node","collapse-expand-combo","get-edge-actual-ends","arrange-draw-order"];class TB extends Gf{constructor(t){super(t),this.category="transform",this.setTransforms(this.context.options.transforms||[])}getTransforms(){}setTransforms(t){this.setExtensions([...ad.slice(0,ad.length-1),...t,ad[ad.length-1]])}getTransformInstance(t){return t?this.extensionMap[t]:this.extensionMap}}var Hl=function(r,t,e,n){function i(a){return a instanceof e?a:new e(function(s){s(a)})}return new(e||(e=Promise))(function(a,s){function o(u){try{c(n.next(u))}catch(h){s(h)}}function l(u){try{c(n.throw(u))}catch(h){s(h)}}function c(u){u.done?a(u.value):i(u.value).then(o,l)}c((n=n.apply(r,t||[])).next())})};class OB{get padding(){return ai(this.context.options.padding)}get paddingOffset(){const[t,e,n,i]=this.padding,[a,s,o]=[(i-e)/2,(t-n)/2,0];return[a,s,o]}constructor(t){this.landmarkCounter=0,this.context=t;const[e,n]=this.paddingOffset,{zoom:i,rotation:a,x:s=e,y:o=n}=t.options;this.transform({mode:"absolute",scale:i,translate:[s,o],rotate:a},!1)}get camera(){const{canvas:t}=this.context;return new Proxy(t.getCamera(),{get:(e,n)=>{const a=Object.entries(t.getLayers()).filter(([o])=>!["main"].includes(o)).map(([,o])=>o.getCamera()),s=e[n];if(typeof s=="function")return(...o)=>{const l=s.apply(e,o);return a.forEach(c=>{c[n].apply(c,o)}),l}}})}createLandmark(t){return this.camera.createLandmark(`landmark-${this.landmarkCounter++}`,t)}getAnimation(t){const e=Cm(this.context.options,t);return e?Bs(Object.assign({},e),["easing","duration"]):!1}getCanvasSize(){const{canvas:t}=this.context,{width:e=0,height:n=0}=t.getConfig();return[e,n]}getCanvasCenter(){const{canvas:t}=this.context,{width:e=0,height:n=0}=t.getConfig();return[e/2,n/2,0]}getViewportCenter(){const[t,e]=this.camera.getPosition();return[t,e,0]}getGraphCenter(){return this.context.graph.getViewportByCanvas(this.getCanvasCenter())}getZoom(){return this.camera.getZoom()}getRotation(){return this.camera.getRoll()}getTranslateOptions(t){const{camera:e}=this,{mode:n,translate:i=[]}=t,a=this.getZoom(),s=e.getPosition(),o=e.getFocalPoint(),[l,c]=this.getCanvasCenter(),[u=0,h=0,d=0]=i,f=Ii([-u,-h,-d],a);return n==="relative"?{position:Ne(s,f),focalPoint:Ne(o,f)}:{position:Ne([l,c,s[2]],f),focalPoint:Ne([l,c,o[2]],f)}}getRotateOptions(t){const{mode:e,rotate:n=0}=t;return{roll:e==="relative"?this.camera.getRoll()+n:n}}getZoomOptions(t){const{zoomRange:e}=this.context.options,n=this.camera.getZoom(),{mode:i,scale:a=1}=t;return kn(i==="relative"?n*a:a,...e)}transform(t,e){return Hl(this,void 0,void 0,function*(){const{graph:n}=this.context,{translate:i,rotate:a,scale:s,origin:o}=t;this.cancelAnimation();const l=this.getAnimation(e);if(sr(n,new Jh(Kt.BEFORE_TRANSFORM,t)),!a&&s&&!i&&o&&!l){this.camera.setZoomByViewportPoint(this.getZoomOptions(t),o),sr(n,new Jh(Kt.AFTER_TRANSFORM,t));return}const c={};if(i&&Object.assign(c,this.getTranslateOptions(t)),ie(a)&&Object.assign(c,this.getRotateOptions(t)),ie(s)&&Object.assign(c,{zoom:this.getZoomOptions(t)}),l)return sr(n,new Mi(Kt.BEFORE_ANIMATE,Hr.TRANSFORM,null,t)),new Promise(u=>{this.transformResolver=u,this.camera.gotoLandmark(this.createLandmark(c),Object.assign(Object.assign({},l),{onfinish:()=>{sr(n,new Mi(Kt.AFTER_ANIMATE,Hr.TRANSFORM,null,t)),sr(n,new Jh(Kt.AFTER_TRANSFORM,t)),this.transformResolver=void 0,u()}}))});this.camera.gotoLandmark(this.createLandmark(c),{duration:0}),sr(n,new Jh(Kt.AFTER_TRANSFORM,t))})}fitView(t,e){return Hl(this,void 0,void 0,function*(){const[n,i,a,s]=this.padding,{when:o="always",direction:l="both"}=t||{},[c,u]=this.context.canvas.getSize(),h=c-s-i,d=u-n-a,f=this.context.canvas.getBounds(),v=this.getBBoxInViewport(f),[g,p]=Ba(v),y=l==="x"&&g>=h||l==="y"&&p>=d||l==="both"&&g>=h&&p>=d;if(o==="overflow"&&!y)return yield this.fitCenter({animation:e});const b=h/g,E=d/p,O=l==="x"?b:l==="y"?E:Math.min(b,E),P=this.getAnimation(e);Number.isFinite(O)&&(yield this.transform({mode:"relative",scale:O,translate:Ne(ln(this.getCanvasCenter(),this.getBBoxInViewport(f).center),Ii(this.paddingOffset,O))},P))})}fitCenter(t){return Hl(this,void 0,void 0,function*(){const e=this.context.canvas.getBounds();yield this.focus(e,t)})}focusElements(t){return Hl(this,arguments,void 0,function*(e,n={}){const{element:i}=this.context;if(!i)return;const a=o=>n.shapes?o.getShape(n.shapes).getRenderBounds():o.getRenderBounds(),s=dl(e.map(o=>a(i.getElement(o))));yield this.focus(s,n)})}focus(t,e){return Hl(this,void 0,void 0,function*(){const n=this.context.graph.getViewportByCanvas(t.center),i=e.position||this.getCanvasCenter(),a=ln(i,n);yield this.transform({mode:"relative",translate:Ne(a,this.paddingOffset)},e.animation)})}getBBoxInViewport(t){const{min:e,max:n}=t,{graph:i}=this.context,[a,s]=i.getViewportByCanvas(e),[o,l]=i.getViewportByCanvas(n),c=new pn;return c.setMinMax([a,s,0],[o,l,0]),c}isInViewport(t,e=!1,n=0){const{graph:i}=this.context,a=this.getCanvasSize(),[s,o]=i.getCanvasByViewport([0,0]),[l,c]=i.getCanvasByViewport(a);let u=new pn;return u.setMinMax([s,o,0],[l,c,0]),n&&(u=za(u,n)),fo(t)?Li(t,u):e?kO(t,u):u.intersects(t)}cancelAnimation(){var t,e;!((t=this.camera.landmarks)===null||t===void 0)&&t.length&&this.camera.cancelLandmarkAnimation(),(e=this.transformResolver)===null||e===void 0||e.call(this)}}var mn=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 sd extends Uu{constructor(t){var e;super(),this.options={},this.rendered=!1,this.destroyed=!1,this.context={model:new oB},this.isCollapsingExpanding=!1,this.onResize=Cl(()=>{this.resize()},300),this._setOptions(Object.assign({},sd.defaultOptions,t),!0),this.context.graph=this,this.options.autoResize&&((e=globalThis.addEventListener)===null||e===void 0||e.call(globalThis,"resize",this.onResize))}getOptions(){return this.options}setOptions(t){this._setOptions(t,!1)}_setOptions(t,e){if(this.updateCanvas(t),Object.assign(this.options,SB(t)),e){const{data:d}=t;d&&this.addData(d);return}const{behaviors:n,combo:i,data:a,edge:s,layout:o,node:l,plugins:c,theme:u,transforms:h}=t;n&&this.setBehaviors(n),a&&this.setData(a),l&&this.setNode(l),s&&this.setEdge(s),i&&this.setCombo(i),o&&this.setLayout(o),u&&this.setTheme(u),c&&this.setPlugins(c),h&&this.setTransforms(h)}getSize(){return this.context.canvas?this.context.canvas.getSize():[this.options.width||0,this.options.height||0]}setSize(t,e){t&&(this.options.width=t),e&&(this.options.height=e),this.resize(t,e)}setZoomRange(t){this.options.zoomRange=t}getZoomRange(){return this.options.zoomRange}setNode(t){this.options.node=t,this.context.model.refreshData()}setEdge(t){this.options.edge=t,this.context.model.refreshData()}setCombo(t){this.options.combo=t,this.context.model.refreshData()}getTheme(){return this.options.theme}setTheme(t){this.options.theme=fe(t)?t(this.getTheme()):t}setLayout(t){this.options.layout=fe(t)?t(this.getLayout()):t}getLayout(){return this.options.layout}setBehaviors(t){var e;this.options.behaviors=fe(t)?t(this.getBehaviors()):t,(e=this.context.behavior)===null||e===void 0||e.setBehaviors(this.options.behaviors)}updateBehavior(t){this.setBehaviors(e=>e.map(n=>typeof n=="object"&&n.key===t.key?Object.assign(Object.assign({},n),t):n))}getBehaviors(){return this.options.behaviors||[]}setPlugins(t){var e;this.options.plugins=fe(t)?t(this.getPlugins()):t,(e=this.context.plugin)===null||e===void 0||e.setPlugins(this.options.plugins)}updatePlugin(t){this.setPlugins(e=>e.map(n=>typeof n=="object"&&n.key===t.key?Object.assign(Object.assign({},n),t):n))}getPlugins(){return this.options.plugins||[]}getPluginInstance(t){return this.context.plugin.getPluginInstance(t)}setTransforms(t){var e;this.options.transforms=fe(t)?t(this.getTransforms()):t,(e=this.context.transform)===null||e===void 0||e.setTransforms(this.options.transforms)}updateTransform(t){this.setTransforms(e=>e.map(n=>typeof n=="object"&&n.key===t.key?Object.assign(Object.assign({},n),t):n)),this.context.model.refreshData()}getTransforms(){return this.options.transforms||[]}getData(){return this.context.model.getData()}hasNode(t){return this.context.model.hasNode(t)}hasEdge(t){return this.context.model.hasEdge(t)}hasCombo(t){return this.context.model.hasCombo(t)}getElementData(t){return Array.isArray(t)?t.map(e=>this.context.model.getElementDataById(e)):this.context.model.getElementDataById(t)}getNodeData(t){return t===void 0?this.context.model.getNodeData():Array.isArray(t)?this.context.model.getNodeData(t):this.context.model.getNodeLikeDatum(t)}getEdgeData(t){return t===void 0?this.context.model.getEdgeData():Array.isArray(t)?this.context.model.getEdgeData(t):this.context.model.getEdgeDatum(t)}getComboData(t){return t===void 0?this.context.model.getComboData():Array.isArray(t)?this.context.model.getComboData(t):this.context.model.getNodeLikeDatum(t)}setData(t){this.context.model.setData(fe(t)?t(this.getData()):t)}addData(t){this.context.model.addData(fe(t)?t(this.getData()):t)}addNodeData(t){this.context.model.addNodeData(fe(t)?t(this.getNodeData()):t)}addEdgeData(t){this.context.model.addEdgeData(fe(t)?t(this.getEdgeData()):t)}addComboData(t){this.context.model.addComboData(fe(t)?t(this.getComboData()):t)}addChildrenData(t,e){this.context.model.addChildrenData(t,e)}updateData(t){this.context.model.updateData(fe(t)?t(this.getData()):t)}updateNodeData(t){this.context.model.updateNodeData(fe(t)?t(this.getNodeData()):t)}updateEdgeData(t){this.context.model.updateEdgeData(fe(t)?t(this.getEdgeData()):t)}updateComboData(t){this.context.model.updateComboData(fe(t)?t(this.getComboData()):t)}removeData(t){this.context.model.removeData(fe(t)?t(this.getData()):t)}removeNodeData(t){this.context.model.removeNodeData(fe(t)?t(this.getNodeData()):t)}removeEdgeData(t){this.context.model.removeEdgeData(fe(t)?t(this.getEdgeData()):t)}removeComboData(t){this.context.model.removeComboData(fe(t)?t(this.getComboData()):t)}getElementType(t){return this.context.model.getElementType(t)}getRelatedEdgesData(t,e="both"){return this.context.model.getRelatedEdgesData(t,e)}getNeighborNodesData(t){return this.context.model.getNeighborNodesData(t)}getAncestorsData(t,e){return this.context.model.getAncestorsData(t,e)}getParentData(t,e){return this.context.model.getParentData(t,e)}getChildrenData(t){return this.context.model.getChildrenData(t)}getDescendantsData(t){return this.context.model.getDescendantsData(t)}getElementDataByState(t,e){return this.context.model.getElementDataByState(t,e)}initCanvas(){return mn(this,void 0,void 0,function*(){var t;if(this.context.canvas)return yield this.context.canvas.ready;const{container:e="container",width:n,height:i,renderer:a,cursor:s,background:o,canvas:l,devicePixelRatio:c=(t=globalThis.devicePixelRatio)!==null&&t!==void 0?t:1}=this.options;if(e instanceof IE)this.context.canvas=e,s&&e.setCursor(s),a&&e.setRenderer(a),yield e.ready;else{const u=Ge(e)?document.getElementById(e):e,h=zE(u);this.emit(Kt.BEFORE_CANVAS_INIT,{container:u,width:n,height:i});const d=Object.assign(Object.assign({},l),{container:u,width:n||h[0],height:i||h[1],background:o,renderer:a,cursor:s,devicePixelRatio:c}),f=new IE(d);this.context.canvas=f,yield f.ready,this.emit(Kt.AFTER_CANVAS_INIT,{canvas:f})}})}updateCanvas(t){var e,n;const{renderer:i,cursor:a,height:s,width:o}=t,l=this.context.canvas;l&&(i&&(this.emit(Kt.BEFORE_RENDERER_CHANGE,{renderer:this.options.renderer}),l.setRenderer(i),this.emit(Kt.AFTER_RENDERER_CHANGE,{renderer:i})),a&&l.setCursor(a),(ie(o)||ie(s))&&this.setSize((e=o!=null?o:this.options.width)!==null&&e!==void 0?e:0,(n=s!=null?s:this.options.height)!==null&&n!==void 0?n:0))}initRuntime(){this.context.options=this.options,this.context.batch||(this.context.batch=new nB(this.context)),this.context.plugin||(this.context.plugin=new AB(this.context)),this.context.viewport||(this.context.viewport=new OB(this.context)),this.context.transform||(this.context.transform=new TB(this.context)),this.context.element||(this.context.element=new lB(this.context)),this.context.animation||(this.context.animation=new eB(this.context)),this.context.layout||(this.context.layout=new wB(this.context)),this.context.behavior||(this.context.behavior=new rB(this.context))}prepare(){return mn(this,void 0,void 0,function*(){if(yield Promise.resolve(),this.destroyed){console.error(pa("The graph instance has been destroyed"));return}yield this.initCanvas(),this.initRuntime()})}render(){return mn(this,void 0,void 0,function*(){if(yield this.prepare(),sr(this,new $n(Kt.BEFORE_RENDER)),this.options.layout)if(!this.rendered&&lP(this.options.layout)){const t=yield this.context.element.preLayoutDraw({type:"render"});yield Promise.all([t==null?void 0:t.finished,this.autoFit()])}else{const t=this.context.element.draw({type:"render"});yield Promise.all([t==null?void 0:t.finished,this.context.layout.postLayout()]),yield this.autoFit()}else{const t=this.context.element.draw({type:"render"});yield Promise.all([t==null?void 0:t.finished,this.autoFit()])}this.rendered=!0,sr(this,new $n(Kt.AFTER_RENDER))})}draw(){return mn(this,void 0,void 0,function*(){var t;yield this.prepare(),yield(t=this.context.element.draw())===null||t===void 0?void 0:t.finished})}layout(t){return mn(this,void 0,void 0,function*(){yield this.context.layout.postLayout(t)})}stopLayout(){this.context.layout.stopLayout()}clear(){return mn(this,void 0,void 0,function*(){const{model:t,element:e}=this.context;t.setData({}),t.clearChanges(),e==null||e.clear()})}destroy(){var t;sr(this,new $n(Kt.BEFORE_DESTROY));const{layout:e,animation:n,element:i,model:a,canvas:s,behavior:o,plugin:l}=this.context;l==null||l.destroy(),o==null||o.destroy(),e==null||e.destroy(),n==null||n.destroy(),i==null||i.destroy(),a.destroy(),s==null||s.destroy(),this.options={},this.context={},this.off(),(t=globalThis.removeEventListener)===null||t===void 0||t.call(globalThis,"resize",this.onResize),this.destroyed=!0,sr(this,new $n(Kt.AFTER_DESTROY))}getCanvas(){return this.context.canvas}resize(t,e){var n;const i=zE((n=this.context.canvas)===null||n===void 0?void 0:n.getContainer()),a=[t||i[0],e||i[1]];if(!this.context.canvas)return;const s=this.context.canvas.getSize();Wn(a,s)||(sr(this,new $n(Kt.BEFORE_SIZE_CHANGE,{size:a})),this.context.canvas.resize(...a),sr(this,new $n(Kt.AFTER_SIZE_CHANGE,{size:a})))}fitView(t,e){return mn(this,void 0,void 0,function*(){var n;yield(n=this.context.viewport)===null||n===void 0?void 0:n.fitView(t,e)})}fitCenter(t){return mn(this,void 0,void 0,function*(){var e;yield(e=this.context.viewport)===null||e===void 0?void 0:e.fitCenter({animation:t})})}autoFit(){return mn(this,void 0,void 0,function*(){const{autoFit:t}=this.context.options;if(t)if(Ge(t))t==="view"?yield this.fitView():t==="center"&&(yield this.fitCenter());else{const{type:e,animation:n}=t;e==="view"?yield this.fitView(t.options,n):e==="center"&&(yield this.fitCenter(n))}})}focusElement(t,e){return mn(this,void 0,void 0,function*(){var n;yield(n=this.context.viewport)===null||n===void 0?void 0:n.focusElements(Array.isArray(t)?t:[t],{animation:e})})}zoomBy(t,e,n){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",scale:t,origin:n},e)})}zoomTo(t,e,n){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",scale:t,origin:n},e)})}getZoom(){return this.context.viewport.getZoom()}rotateBy(t,e,n){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",rotate:t,origin:n},e)})}rotateTo(t,e,n){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",rotate:t,origin:n},e)})}getRotation(){return this.context.viewport.getRotation()}translateBy(t,e){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"relative",translate:t},e)})}translateTo(t,e){return mn(this,void 0,void 0,function*(){yield this.context.viewport.transform({mode:"absolute",translate:t},e)})}getPosition(){return ln([0,0],this.getCanvasByViewport([0,0]))}translateElementBy(t,e){return mn(this,arguments,void 0,function*(n,i,a=!0){var s,o;const[l,c]=zn(n)?[n,(s=i)!==null&&s!==void 0?s:!0]:[{[n]:i},a];Object.entries(l).forEach(([u,h])=>this.context.model.translateNodeLikeBy(u,h)),yield(o=this.context.element.draw({animation:c,stage:"translate"}))===null||o===void 0?void 0:o.finished})}translateElementTo(t,e){return mn(this,arguments,void 0,function*(n,i,a=!0){var s,o;const[l,c]=zn(n)?[n,(s=i)!==null&&s!==void 0?s:!0]:[{[n]:i},a];Object.entries(l).forEach(([u,h])=>this.context.model.translateNodeLikeTo(u,h)),yield(o=this.context.element.draw({animation:c,stage:"translate"}))===null||o===void 0?void 0:o.finished})}getElementPosition(t){return this.context.model.getElementPosition(t)}getElementRenderStyle(t){return Gv(this.context.element.getElement(t).attributes,["context"])}setElementVisibility(t,e){return mn(this,arguments,void 0,function*(n,i,a=!0){var s,o;const[l,c]=zn(n)?[n,(s=i)!==null&&s!==void 0?s:!0]:[{[n]:i},a],u={nodes:[],edges:[],combos:[]};Object.entries(l).forEach(([f,v])=>{const g=this.getElementType(f);u[`${g}s`].push({id:f,style:{visibility:v}})});const{model:h,element:d}=this.context;h.preventUpdateNodeLikeHierarchy(()=>{h.updateData(u)}),yield(o=d.draw({animation:c,stage:"visibility"}))===null||o===void 0?void 0:o.finished})}showElement(t,e){return mn(this,void 0,void 0,function*(){const n=Array.isArray(t)?t:[t];yield this.setElementVisibility(Object.fromEntries(n.map(i=>[i,"visible"])),e)})}hideElement(t,e){return mn(this,void 0,void 0,function*(){const n=Array.isArray(t)?t:[t];yield this.setElementVisibility(Object.fromEntries(n.map(i=>[i,"hidden"])),e)})}getElementVisibility(t){var e,n;const i=this.context.element.getElement(t);return(n=(e=i==null?void 0:i.style)===null||e===void 0?void 0:e.visibility)!==null&&n!==void 0?n:"visible"}setElementZIndex(t,e){return mn(this,void 0,void 0,function*(){var n;const i={nodes:[],edges:[],combos:[]},a=zn(t)?t:{[t]:e};Object.entries(a).forEach(([l,c])=>{const u=this.getElementType(l);i[`${u}s`].push({id:l,style:{zIndex:c}})});const{model:s,element:o}=this.context;s.preventUpdateNodeLikeHierarchy(()=>s.updateData(i)),yield(n=o.draw({animation:!1,stage:"zIndex"}))===null||n===void 0?void 0:n.finished})}frontElement(t){return mn(this,void 0,void 0,function*(){const e=Array.isArray(t)?t:[t],{model:n}=this.context,i={};e.map(a=>{const s=n.getFrontZIndex(a);if(n.getElementType(a)==="combo"){const l=n.getAncestorsData(a,dn).at(-1)||this.getComboData(a),c=[l,...n.getDescendantsData(At(l))],u=s-jE(l);c.forEach(d=>{i[At(d)]=this.getElementZIndex(At(d))+u});const{internal:h}=vv(c.map(At),d=>n.getRelatedEdgesData(d));h.forEach(d=>{const f=At(d);i[f]=this.getElementZIndex(f)+u})}else i[a]=s}),yield this.setElementZIndex(i)})}getElementZIndex(t){return jE(this.context.model.getElementDataById(t))}setElementState(t,e){return mn(this,arguments,void 0,function*(n,i,a=!0){var s,o;const[l,c]=zn(n)?[n,(s=i)!==null&&s!==void 0?s:!0]:[{[n]:i},a],u=d=>d?Array.isArray(d)?d:[d]:[],h={nodes:[],edges:[],combos:[]};Object.entries(l).forEach(([d,f])=>{const v=this.getElementType(d);h[`${v}s`].push({id:d,states:u(f)})}),this.updateData(h),yield(o=this.context.element.draw({animation:c,stage:"state"}))===null||o===void 0?void 0:o.finished})}getElementState(t){return this.context.model.getElementState(t)}getElementRenderBounds(t){return this.context.element.getElement(t).getRenderBounds()}collapseElement(t){return mn(this,arguments,void 0,function*(e,n=!0){const{model:i,element:a}=this.context;if(Kr(i.getNodeLikeData([e])[0])||this.isCollapsingExpanding)return;typeof n=="boolean"&&(n={animation:n,align:!0});const s=i.getElementType(e);yield this.frontElement(e),this.isCollapsingExpanding=!0,i.updateData(s==="node"?{nodes:[{id:e,style:{collapsed:!0}}]}:{combos:[{id:e,style:{collapsed:!0}}]}),s==="node"?yield a.collapseNode(e,n):s==="combo"&&(yield a.collapseCombo(e,!!n.animation)),this.isCollapsingExpanding=!1})}expandElement(t){return mn(this,arguments,void 0,function*(e,n=!0){const{model:i,element:a}=this.context;if(!Kr(i.getNodeLikeData([e])[0])||this.isCollapsingExpanding)return;typeof n=="boolean"&&(n={animation:n,align:!0});const s=i.getElementType(e);this.isCollapsingExpanding=!0,i.updateData(s==="node"?{nodes:[{id:e,style:{collapsed:!1}}]}:{combos:[{id:e,style:{collapsed:!1}}]}),s==="node"?yield a.expandNode(e,n):s==="combo"&&(yield a.expandCombo(e,!!n.animation)),this.isCollapsingExpanding=!1})}setElementCollapsibility(t,e){const n=this.getElementType(t);n==="node"?this.updateNodeData([{id:t,style:{collapsed:e}}]):n==="combo"&&this.updateComboData([{id:t,style:{collapsed:e}}])}toDataURL(){return mn(this,arguments,void 0,function*(t={}){return this.context.canvas.toDataURL(t)})}getCanvasByViewport(t){return this.context.canvas.getCanvasByViewport(t)}getViewportByCanvas(t){return this.context.canvas.getViewportByCanvas(t)}getClientByCanvas(t){return this.context.canvas.getClientByCanvas(t)}getCanvasByClient(t){return this.context.canvas.getCanvasByClient(t)}getViewportCenter(){return this.context.viewport.getViewportCenter()}getCanvasCenter(){return this.context.viewport.getCanvasCenter()}on(t,e,n){return super.on(t,e,n)}once(t,e){return super.once(t,e)}off(t,e){return super.off(t,e)}}sd.defaultOptions={autoResize:!1,theme:"light",rotation:0,zoom:1,zoomRange:[.01,10]};var CB=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{if(o.depth=l,!o.children)return o;const{children:c}=o,u=CB(o,["children"]);return Object.assign(Object.assign({},u),{children:c.map(h=>h.id)})},getEdgeData:n=(o,l)=>({source:o.id,target:l.id}),getChildren:i=o=>o.children||[]}=t||{},a=[],s=[];return _s(r,(o,l)=>{a.push(e(o,l));const c=i(o);for(const u of c)s.push(n(o,u))},o=>i(o),"TB"),{nodes:a,edges:s}}class kB extends ts{beforeDraw(t){const{add:e,update:n}=t,{model:i}=this.context;return[...e.edges.entries(),...n.edges.entries()].forEach(([,a])=>{$E(i,a)}),t}}const $E=(r,t)=>{const{source:e,target:n}=t,i=r.getElementDataById(e),a=r.getElementDataById(n),s=m1(i,h=>r.getParentData(h,dn)),o=m1(a,h=>r.getParentData(h,dn)),l=At(s),c=At(o),u={sourceNode:l,targetNode:c};return t.style?Object.assign(t.style,u):t.style=u,t},PB=(r,t,e)=>{const[n,i]=t,[a,s]=e;if(i===n)return a;const o=(r-n)/(i-n);return a+o*(s-a)},RB=(r,t,e)=>{const[n,i]=t,[a,s]=e,o=Math.log(r-n+1)/Math.log(i-n+1);return a+o*(s-a)},LB=(r,t,e,n=2)=>{const[i,a]=t,[s,o]=e,l=Math.pow((r-i)/(a-i),n);return s+l*(o-s)},_B=(r,t,e)=>{const[n,i]=t,[a,s]=e,o=Math.sqrt((r-n)/(i-n));return a+o*(s-a)};class od extends ts{constructor(t,e){super(t,mr({},od.defaultOptions,e)),this.assignSizeByCentrality=(n,i,a,s,o,l)=>{const c=[i,a],u=[s[0],o[0]],h=[s[1],o[1]],d=[s[2],o[2]],f=(v,g)=>{if(typeof l=="function")return l(v,c,g);switch(l){case"linear":return PB(v,c,g);case"log":return RB(v,c,g);case"pow":return LB(v,c,g,2);case"sqrt":return _B(v,c,g);default:return g[0]}};return[f(n,u),f(n,h),f(n,d)]}}beforeDraw(t){const{model:e}=this.context,n=e.getNodeData(),i=oi(this.options.maxSize),a=oi(this.options.minSize),s=this.getCentralities(this.options.centrality),o=s.size>0?Math.max(...s.values()):0,l=s.size>0?Math.min(...s.values()):0;return n.forEach(c=>{var u;const h=this.assignSizeByCentrality(s.get(At(c))||0,l,o,a,i,this.options.scale),d=(u=this.context.element)===null||u===void 0?void 0:u.getElement(At(c)),f={size:h};this.assignLabelStyle(f,h,c,d),(!d||!Qh(f,d.attributes))&&ui(t,d?"update":"add","node",mr(c,{style:f}),!0)}),t}assignLabelStyle(t,e,n,i){var a;const s=i?i.config.style:(a=this.context.element)===null||a===void 0?void 0:a.getElementComputedStyle("node",n);if(Object.assign(t,Bs(s,["labelFontSize","labelLineHeight"])),this.options.mapLabelSize){const o=this.getLabelSizeByNodeSize(e,1/0,Number(t.labelFontSize));Object.assign(t,{labelFontSize:o,labelLineHeight:o+NO(t.labelPadding)})}return t}getLabelSizeByNodeSize(t,e,n){const i=Math.min(...t)/2,[a,s]=Array.isArray(this.options.mapLabelSize)?this.options.mapLabelSize:[n,e];return Math.min(s,Math.max(i,a))}getCentralities(t){const{model:e}=this.context,n=e.getData();if(typeof t=="function")return t(n);const i=e.getRelatedEdgesData.bind(e);return by(n,i,t)}}od.defaultOptions={centrality:{type:"degree"},maxSize:80,minSize:20,scale:"linear",mapLabelSize:!1};class ld extends ts{constructor(t,e){super(t,Object.assign({},ld.defaultOptions,e))}get ref(){return this.context.model.getRootsData()[0]}afterLayout(){var t;const e=ir(this.ref),{graph:n,model:i}=this.context;(t=i.getData().nodes)===null||t===void 0||t.forEach(s=>{var o;if(At(s)===At(this.ref))return;const l=Sy(ln(ir(s),e)),c=Math.abs(l)>Math.PI/2,u=!s.children||s.children.length===0,h=At(s),d=(o=this.context.element)===null||o===void 0?void 0:o.getElement(h);if(!d||!d.isVisible())return;const f=oi(n.getElementRenderStyle(h).size)[0]/2,v=(u?1:-1)*(f+this.options.offset),g=[["translate",v*Math.cos(l),v*Math.sin(l)],["rotate",c?Gr(l)+180:Gr(l)]];i.updateNodeData([{id:At(s),style:{labelTextAlign:c===u?"right":"left",labelTextBaseline:"middle",labelTransform:g}}])}),n.draw()}}ld.defaultOptions={offset:5};const DB="quadratic",tw=["top","top-right","right","right-bottom","bottom","bottom-left","left","left-top"];class cd extends ts{constructor(t,e){super(t,Object.assign({},cd.defaultOptions,e)),this.cacheMergeStyle=new Map,this.getAffectedParallelEdges=n=>{const{add:{edges:i},update:{nodes:a,edges:s,combos:o},remove:{edges:l}}=n,{model:c}=this.context,u=new Map,h=(v,g)=>{c.getRelatedEdgesData(g).forEach(y=>!u.has(At(y))&&u.set(At(y),y))};a.forEach(h),o.forEach(h);const d=v=>{const g=new Set(n.remove.edges.keys()),p=c.getEdgeData().filter(y=>!g.has(At(y))).map(y=>$E(c,y));IB(v,p,!0).forEach(y=>{const b=At(y);u.has(b)||u.set(b,y)})};if(l.size&&l.forEach(d),i.size&&i.forEach(d),s.size){const v=qb(Kv(c.getChanges())).update.edges;s.forEach(g=>{var p;d(g);const y=(p=v.find(b=>At(b.value)===At(g)))===null||p===void 0?void 0:p.original;y&&!G0(g,y)&&d(y)})}ra(this.options.edges)||u.forEach((v,g)=>!this.options.edges.includes(g)&&u.delete(g));const f=c.getEdgeData().map(At);return new Map([...u].sort((v,g)=>f.indexOf(v[0])-f.indexOf(g[0])))},this.applyBundlingStyle=(n,i,a)=>{const{edgeMap:s,reverses:o}=ew(i);s.forEach(l=>{l.forEach((c,u,h)=>{var d;const f=h.length,v=c.style||{};if(c.source===c.target){const y=tw.length;v.loopPlacement=tw[u%y],v.loopDist=Math.floor(u/y)*a+50}else if(f===1)v.curveOffset=0;else{const y=(u%2===0?1:-1)*(o[`${c.source}|${c.target}|${u}`]?-1:1);v.curveOffset=f%2===1?y*Math.ceil(u/2)*a*2:y*(Math.floor(u/2)*a*2+a)}const g=Object.assign(c,{type:DB,style:v}),p=(d=this.context.element)===null||d===void 0?void 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zt=kt.selected||{},Ut=q.map(Qt=>Qt.name).filter(Qt=>zt[Qt]===!1);pt(Ut)},[q]),gt=(0,A.useMemo)(()=>q.filter(kt=>!xt.includes(kt.name)),[q,xt]),Et=(0,A.useMemo)(()=>{const kt=rt({pieData:gt,internalDiameterRatio:ht}),zt=q.map(Qt=>Qt.name),Ut=q.reduce((Qt,Ee)=>(Qt[Ee.name]=!xt.includes(Ee.name),Qt),{});return kt.legend=X(W(W({},kt.legend),ut),{data:zt,selected:Ut}),kt},[gt,ut,ht,q,xt]);return A.createElement(Z.Z,{onEvents:{legendselectchanged:wt},className:`w-full h-full ${it}`,option:Et,style:W({height:"100%"},at)})};Q.Z=nt},88618:function(U,Q,S){"use strict";var A,Z=Object.defineProperty,B=H=>{throw TypeError(H)},N=Math.pow,T=(H,x,w)=>x in H?Z(H,x,{enumerable:!0,configurable:!0,writable:!0,value:w}):H[x]=w,k=(H,x,w)=>T(H,typeof x!="symbol"?x+"":x,w),_=(H,x,w)=>x.has(H)||B("Cannot "+w),C=(H,x,w)=>(_(H,x,"read from private field"),w?w.call(H):x.get(H)),L=(H,x,w)=>x.has(H)?B("Cannot add the same private member more than once"):x instanceof WeakSet?x.add(H):x.set(H,w),z=(H,x,w,m)=>(_(H,x,"write to private field"),m?m.call(H,w):x.set(H,w),w),D=(H,x,w)=>(_(H,x,"access private method"),w),W,X,K;A={value:!0};var rt=S(34634),nt=S(34402);const q=" ".repeat(2),it=" ".repeat(4);function at(){return ut(this)}function ut(H,x={}){const{maxRows:w=15,maxColumns:m=10,maxNumSize:M=8,padMinus:j="auto"}=x;return`${H.constructor.name} { +${q}[ +${it}${ht(H,w,m,M,j)} +${q}] +${q}rows: ${H.rows} +${q}columns: ${H.columns} +}`}function ht(H,x,w,m,M){const{rows:j,columns:tt}=H,et=Math.min(j,x),st=Math.min(tt,w),lt=[];if(M==="auto"){M=!1;t:for(let Tt=0;Tt=0&&w?` ${pt(H,x-1)}`:pt(H,x)).padEnd(x)}function pt(H,x){let w=H.toString();if(w.length<=x)return w;let m=H.toFixed(x);if(m.length>x&&(m=H.toFixed(Math.max(0,x-(m.length-x)))),m.length<=x&&!m.startsWith("0.000")&&!m.startsWith("-0.000"))return m;let M=H.toExponential(x);return M.length>x&&(M=H.toExponential(Math.max(0,x-(M.length-x)))),M.slice(0)}function wt(H,x){H.prototype.add=function(m){return typeof m=="number"?this.addS(m):this.addM(m)},H.prototype.addS=function(m){for(let M=0;M>m);return this},H.prototype.signPropagatingRightShiftM=function(m){if(m=x.checkMatrix(m),this.rows!==m.rows||this.columns!==m.columns)throw new RangeError("Matrices dimensions must be equal");for(let M=0;M>m.get(M,j));return this},H.signPropagatingRightShift=function(m,M){return new x(m).signPropagatingRightShift(M)},H.prototype.rightShift=function(m){return typeof m=="number"?this.rightShiftS(m):this.rightShiftM(m)},H.prototype.rightShiftS=function(m){for(let M=0;M>>m);return this},H.prototype.rightShiftM=function(m){if(m=x.checkMatrix(m),this.rows!==m.rows||this.columns!==m.columns)throw new RangeError("Matrices dimensions must be equal");for(let M=0;M>>m.get(M,j));return this},H.rightShift=function(m,M){return new x(m).rightShift(M)},H.prototype.zeroFillRightShift=H.prototype.rightShift,H.prototype.zeroFillRightShiftS=H.prototype.rightShiftS,H.prototype.zeroFillRightShiftM=H.prototype.rightShiftM,H.zeroFillRightShift=H.rightShift,H.prototype.not=function(){for(let m=0;mm)throw new RangeError("Row index out of range")}function Et(H,x,w){let m=w?H.columns:H.columns-1;if(x<0||x>m)throw new RangeError("Column index out of range")}function kt(H,x){if(x.to1DArray&&(x=x.to1DArray()),x.length!==H.columns)throw new RangeError("vector size must be the same as the number of columns");return x}function zt(H,x){if(x.to1DArray&&(x=x.to1DArray()),x.length!==H.rows)throw new RangeError("vector size must be the same as the number of rows");return x}function Ut(H,x){if(!rt.isAnyArray(x))throw new TypeError("row indices must be an array");for(let w=0;w=H.rows)throw new RangeError("row indices are out of range")}function Qt(H,x){if(!rt.isAnyArray(x))throw new TypeError("column indices must be an array");for(let w=0;w=H.columns)throw new RangeError("column indices are out of range")}function Ee(H,x,w,m,M){if(arguments.length!==5)throw new RangeError("expected 4 arguments");if(tn("startRow",x),tn("endRow",w),tn("startColumn",m),tn("endColumn",M),x>w||m>M||x<0||x>=H.rows||w<0||w>=H.rows||m<0||m>=H.columns||M<0||M>=H.columns)throw new RangeError("Submatrix indices are out of range")}function Le(H,x=0){let w=[];for(let m=0;m=j)throw new RangeError("min must be smaller than max");let et=j-M,st=new ne(x,w);for(let lt=0;ltm?(j=!0,m=w):(M=!1,j=!0);x++}return M}isReducedEchelonForm(){let x=0,w=0,m=-1,M=!0,j=!1;for(;xm?(j=!0,m=w):(M=!1,j=!0);for(let tt=w+1;ttx.get(M,m)&&(M=j);if(x.get(M,m)===0)m++;else{x.swapRows(w,M);let j=x.get(w,m);for(let tt=m;tt=0;)if(x.maxRow(M)===0)M--;else{let j=0,tt=!1;for(;jw[m]&&(w[m]=this.get(m,M));return w}case"column":{const w=new Array(this.columns).fill(Number.NEGATIVE_INFINITY);for(let m=0;mw[M]&&(w[M]=this.get(m,M));return w}case void 0:{let w=this.get(0,0);for(let m=0;mw&&(w=this.get(m,M));return w}default:throw new Error(`invalid option: ${x}`)}}maxIndex(){er(this);let x=this.get(0,0),w=[0,0];for(let m=0;mx&&(x=this.get(m,M),w[0]=m,w[1]=M);return w}min(x){if(this.isEmpty())return NaN;switch(x){case"row":{const w=new Array(this.rows).fill(Number.POSITIVE_INFINITY);for(let m=0;mw&&(w=this.get(x,m));return w}maxRowIndex(x){gt(this,x),er(this);let w=this.get(x,0),m=[x,0];for(let M=1;Mw&&(w=this.get(x,M),m[1]=M);return m}minRow(x){if(gt(this,x),this.isEmpty())return NaN;let w=this.get(x,0);for(let m=1;mw&&(w=this.get(m,x));return w}maxColumnIndex(x){Et(this,x),er(this);let w=this.get(0,x),m=[0,x];for(let M=1;Mw&&(w=this.get(M,x),m[0]=M);return m}minColumn(x){if(Et(this,x),this.isEmpty())return NaN;let w=this.get(0,x);for(let m=1;m=1;M/=2)M&1&&(w=w.mmul(m)),m=m.mmul(m);return w}strassen2x2(x){x=ne.checkMatrix(x);let w=new ne(2,2);const m=this.get(0,0),M=x.get(0,0),j=this.get(0,1),tt=x.get(0,1),et=this.get(1,0),st=x.get(1,0),lt=this.get(1,1),Tt=x.get(1,1),vt=(m+lt)*(M+Tt),Ft=(et+lt)*M,qt=m*(tt-Tt),Lt=lt*(st-M),Zt=(m+j)*Tt,le=(et-m)*(M+tt),bt=(j-lt)*(st+Tt),Wt=vt+Lt-Zt+bt,ue=qt+Zt,we=Ft+Lt,Ae=vt-Ft+qt+le;return w.set(0,0,Wt),w.set(0,1,ue),w.set(1,0,we),w.set(1,1,Ae),w}strassen3x3(x){x=ne.checkMatrix(x);let w=new ne(3,3);const m=this.get(0,0),M=this.get(0,1),j=this.get(0,2),tt=this.get(1,0),et=this.get(1,1),st=this.get(1,2),lt=this.get(2,0),Tt=this.get(2,1),vt=this.get(2,2),Ft=x.get(0,0),qt=x.get(0,1),Lt=x.get(0,2),Zt=x.get(1,0),le=x.get(1,1),bt=x.get(1,2),Wt=x.get(2,0),ue=x.get(2,1),we=x.get(2,2),Ae=(m+M+j-tt-et-Tt-vt)*le,un=(m-tt)*(-qt+le),ge=et*(-Ft+qt+Zt-le-bt-Wt+we),be=(-m+tt+et)*(Ft-qt+le),Ze=(tt+et)*(-Ft+qt),Mt=m*Ft,Yt=(-m+lt+Tt)*(Ft-Lt+bt),Jt=(-m+lt)*(Lt-bt),Ht=(lt+Tt)*(-Ft+Lt),fn=(m+M+j-et-st-lt-Tt)*bt,$e=Tt*(-Ft+Lt+Zt-le-bt-Wt+ue),hn=(-j+Tt+vt)*(le+Wt-ue),vn=(j-vt)*(le-ue),nr=j*Wt,Xn=(Tt+vt)*(-Wt+ue),gn=(-j+et+st)*(bt+Wt-we),ti=(j-st)*(bt-we),vi=(et+st)*(-Wt+we),ze=M*Zt,Fn=st*ue,Mr=tt*Lt,_r=lt*qt,Tn=vt*we,Na=Mt+nr+ze,Js=Ae+be+Ze+Mt+hn+nr+Xn,bd=Mt+Yt+Ht+fn+nr+gn+vi,xd=un+ge+be+Mt+nr+gn+ti,hs=un+be+Ze+Mt+Fn,Wo=nr+gn+ti+vi+Mr,Ed=Mt+Yt+Jt+$e+hn+vn+nr,Kl=hn+vn+nr+Xn+_r,wd=Mt+Yt+Jt+Ht+Tn;return w.set(0,0,Na),w.set(0,1,Js),w.set(0,2,bd),w.set(1,0,xd),w.set(1,1,hs),w.set(1,2,Wo),w.set(2,0,Ed),w.set(2,1,Kl),w.set(2,2,wd),w}mmulStrassen(x){x=ne.checkMatrix(x);let w=this.clone(),m=w.rows,M=w.columns,j=x.rows,tt=x.columns;M!==j&&console.warn(`Multiplying ${m} x ${M} and ${j} x ${tt} matrix: dimensions do not match.`);function et(vt,Ft,qt){let Lt=vt.rows,Zt=vt.columns;if(Lt===Ft&&Zt===qt)return vt;{let le=re.zeros(Ft,qt);return le=le.setSubMatrix(vt,0,0),le}}let st=Math.max(m,j),lt=Math.max(M,tt);w=et(w,st,lt),x=et(x,st,lt);function Tt(vt,Ft,qt,Lt){if(qt<=512||Lt<=512)return vt.mmul(Ft);qt%2===1&&Lt%2===1?(vt=et(vt,qt+1,Lt+1),Ft=et(Ft,qt+1,Lt+1)):qt%2===1?(vt=et(vt,qt+1,Lt),Ft=et(Ft,qt+1,Lt)):Lt%2===1&&(vt=et(vt,qt,Lt+1),Ft=et(Ft,qt,Lt+1));let Zt=parseInt(vt.rows/2,10),le=parseInt(vt.columns/2,10),bt=vt.subMatrix(0,Zt-1,0,le-1),Wt=Ft.subMatrix(0,Zt-1,0,le-1),ue=vt.subMatrix(0,Zt-1,le,vt.columns-1),we=Ft.subMatrix(0,Zt-1,le,Ft.columns-1),Ae=vt.subMatrix(Zt,vt.rows-1,0,le-1),un=Ft.subMatrix(Zt,Ft.rows-1,0,le-1),ge=vt.subMatrix(Zt,vt.rows-1,le,vt.columns-1),be=Ft.subMatrix(Zt,Ft.rows-1,le,Ft.columns-1),Ze=Tt(re.add(bt,ge),re.add(Wt,be),Zt,le),Mt=Tt(re.add(Ae,ge),Wt,Zt,le),Yt=Tt(bt,re.sub(we,be),Zt,le),Jt=Tt(ge,re.sub(un,Wt),Zt,le),Ht=Tt(re.add(bt,ue),be,Zt,le),fn=Tt(re.sub(Ae,bt),re.add(Wt,we),Zt,le),$e=Tt(re.sub(ue,ge),re.add(un,be),Zt,le),hn=re.add(Ze,Jt);hn.sub(Ht),hn.add($e);let vn=re.add(Yt,Ht),nr=re.add(Mt,Jt),Xn=re.sub(Ze,Mt);Xn.add(Yt),Xn.add(fn);let gn=re.zeros(2*hn.rows,2*hn.columns);return gn=gn.setSubMatrix(hn,0,0),gn=gn.setSubMatrix(vn,hn.rows,0),gn=gn.setSubMatrix(nr,0,hn.columns),gn=gn.setSubMatrix(Xn,hn.rows,hn.columns),gn.subMatrix(0,qt-1,0,Lt-1)}return Tt(w,x,st,lt)}scaleRows(x={}){if(typeof x!="object")throw new TypeError("options must be an object");const{min:w=0,max:m=1}=x;if(!Number.isFinite(w))throw new TypeError("min must be a number");if(!Number.isFinite(m))throw new TypeError("max must be a number");if(w>=m)throw new RangeError("min must be smaller than max");let M=new ne(this.rows,this.columns);for(let j=0;j0&&nt(tt,{min:w,max:m,output:tt}),M.setRow(j,tt)}return M}scaleColumns(x={}){if(typeof x!="object")throw new TypeError("options must be an object");const{min:w=0,max:m=1}=x;if(!Number.isFinite(w))throw new TypeError("min must be a number");if(!Number.isFinite(m))throw new TypeError("max must be a number");if(w>=m)throw new RangeError("min must be smaller than max");let M=new ne(this.rows,this.columns);for(let j=0;jm||w<0||w>=this.columns||m<0||m>=this.columns)throw new RangeError("Argument out of range");let M=new ne(x.length,m-w+1);for(let j=0;j=this.rows)throw new RangeError(`Row index out of range: ${x[j]}`);M.set(j,tt-w,this.get(x[j],tt))}return M}subMatrixColumn(x,w,m){if(w===void 0&&(w=0),m===void 0&&(m=this.rows-1),w>m||w<0||w>=this.rows||m<0||m>=this.rows)throw new RangeError("Argument out of range");let M=new ne(m-w+1,x.length);for(let j=0;j=this.columns)throw new RangeError(`Column index out of range: ${x[j]}`);M.set(tt-w,j,this.get(tt,x[j]))}return M}setSubMatrix(x,w,m){if(x=ne.checkMatrix(x),x.isEmpty())return this;let M=w+x.rows-1,j=m+x.columns-1;Ee(this,w,M,m,j);for(let tt=0;tttypeof x=="number")}re.random=re.rand,re.randomInt=re.randInt,re.diagonal=re.diag,re.prototype.diagonal=re.prototype.diag,re.identity=re.eye,re.prototype.negate=re.prototype.neg,re.prototype.tensorProduct=re.prototype.kroneckerProduct;const ua=class X0 extends re{constructor(x,w){if(super(),L(this,W),k(this,"data"),X0.isMatrix(x))D(this,W,X).call(this,x.rows,x.columns),X0.copy(x,this);else if(Number.isInteger(x)&&x>=0)D(this,W,X).call(this,x,w);else if(rt.isAnyArray(x)){const m=x;if(x=m.length,w=x?m[0].length:0,typeof w!="number")throw new TypeError("Data must be a 2D array with at least one element");this.data=[];for(let M=0;M=0)for(let w=0;w=0)z(this,K,new ne(x,x));else if(z(this,K,new ne(x)),!this.isSymmetric())throw new TypeError("not symmetric data")}get size(){return C(this,K).size}get rows(){return C(this,K).rows}get columns(){return C(this,K).columns}get diagonalSize(){return this.rows}static isSymmetricMatrix(x){return ne.isMatrix(x)&&x.klassType==="SymmetricMatrix"}static zeros(x){return new this(x)}static ones(x){return new this(x).fill(1)}clone(){const x=new K0(this.diagonalSize);for(const[w,m,M]of this.upperRightEntries())x.set(w,m,M);return x}toMatrix(){return new ne(this)}get(x,w){return C(this,K).get(x,w)}set(x,w,m){return C(this,K).set(x,w,m),C(this,K).set(w,x,m),this}removeCross(x){return C(this,K).removeRow(x),C(this,K).removeColumn(x),this}addCross(x,w){w===void 0&&(w=x,x=this.diagonalSize);const m=w.slice();return m.splice(x,1),C(this,K).addRow(x,m),C(this,K).addColumn(x,w),this}applyMask(x){if(x.length!==this.diagonalSize)throw new RangeError("Mask size do not match with matrix size");const w=[];for(const[m,M]of x.entries())M||w.push(m);w.reverse();for(const m of w)this.removeCross(m);return this}toCompact(){const{diagonalSize:x}=this,w=new Array(x*(x+1)/2);for(let m=0,M=0,j=0;j=x&&(m=++M);return w}static fromCompact(x){const w=x.length,m=(Math.sqrt(8*w+1)-1)/2;if(!Number.isInteger(m))throw new TypeError(`This array is not a compact representation of a Symmetric Matrix, ${JSON.stringify(x)}`);const M=new K0(m);for(let j=0,tt=0,et=0;et=m&&(j=++tt);return M}*upperRightEntries(){for(let x=0,w=0;x=this.diagonalSize&&(w=++x)}}*upperRightValues(){for(let x=0,w=0;x=this.diagonalSize&&(w=++x)}};K=new WeakMap;let Rr=ss;Rr.prototype.klassType="SymmetricMatrix";class Hn extends Rr{static isDistanceMatrix(x){return Rr.isSymmetricMatrix(x)&&x.klassSubType==="DistanceMatrix"}constructor(x){if(super(x),!this.isDistance())throw new TypeError("Provided arguments do no produce a distance matrix")}set(x,w,m){return x===w&&(m=0),super.set(x,w,m)}addCross(x,w){return w===void 0&&(w=x,x=this.diagonalSize),w=w.slice(),w[x]=0,super.addCross(x,w)}toSymmetricMatrix(){return new Rr(this)}clone(){const x=new Hn(this.diagonalSize);for(const[w,m,M]of this.upperRightEntries())w!==m&&x.set(w,m,M);return x}toCompact(){const{diagonalSize:x}=this,w=(x-1)*x/2,m=new Array(w);for(let M=1,j=0,tt=0;tt=x&&(M=++j+1);return m}static fromCompact(x){const w=x.length;if(w===0)return new this(0);const m=(Math.sqrt(8*w+1)+1)/2;if(!Number.isInteger(m))throw new TypeError(`This array is not a compact representation of a DistanceMatrix, ${JSON.stringify(x)}`);const M=new this(m);for(let j=1,tt=0,et=0;et=m&&(j=++tt+1);return M}}Hn.prototype.klassSubType="DistanceMatrix";class Lr extends re{constructor(x,w,m){super(),this.matrix=x,this.rows=w,this.columns=m}}class os extends Lr{constructor(x,w){Et(x,w),super(x,x.rows,1),this.column=w}set(x,w,m){return this.matrix.set(x,this.column,m),this}get(x){return this.matrix.get(x,this.column)}}class ha extends Lr{constructor(x,w){Qt(x,w),super(x,x.rows,w.length),this.columnIndices=w}set(x,w,m){return this.matrix.set(x,this.columnIndices[w],m),this}get(x,w){return this.matrix.get(x,this.columnIndices[w])}}class qs extends Lr{constructor(x){super(x,x.rows,x.columns)}set(x,w,m){return this.matrix.set(x,this.columns-w-1,m),this}get(x,w){return this.matrix.get(x,this.columns-w-1)}}class da extends Lr{constructor(x){super(x,x.rows,x.columns)}set(x,w,m){return this.matrix.set(this.rows-x-1,w,m),this}get(x,w){return this.matrix.get(this.rows-x-1,w)}}class Fo extends Lr{constructor(x,w){gt(x,w),super(x,1,x.columns),this.row=w}set(x,w,m){return this.matrix.set(this.row,w,m),this}get(x,w){return this.matrix.get(this.row,w)}}class ls extends Lr{constructor(x,w){Ut(x,w),super(x,w.length,x.columns),this.rowIndices=w}set(x,w,m){return this.matrix.set(this.rowIndices[x],w,m),this}get(x,w){return this.matrix.get(this.rowIndices[x],w)}}class cs extends Lr{constructor(x,w,m){Ut(x,w),Qt(x,m),super(x,w.length,m.length),this.rowIndices=w,this.columnIndices=m}set(x,w,m){return this.matrix.set(this.rowIndices[x],this.columnIndices[w],m),this}get(x,w){return this.matrix.get(this.rowIndices[x],this.columnIndices[w])}}class us extends Lr{constructor(x,w,m,M,j){Ee(x,w,m,M,j),super(x,m-w+1,j-M+1),this.startRow=w,this.startColumn=M}set(x,w,m){return this.matrix.set(this.startRow+x,this.startColumn+w,m),this}get(x,w){return this.matrix.get(this.startRow+x,this.startColumn+w)}}class Ti extends Lr{constructor(x){super(x,x.columns,x.rows)}set(x,w,m){return this.matrix.set(w,x,m),this}get(x,w){return this.matrix.get(w,x)}}class Oi extends re{constructor(x,w={}){const{rows:m=1}=w;if(x.length%m!==0)throw new Error("the data length is not divisible by the number of rows");super(),this.rows=m,this.columns=x.length/m,this.data=x}set(x,w,m){let M=this._calculateIndex(x,w);return this.data[M]=m,this}get(x,w){let m=this._calculateIndex(x,w);return this.data[m]}_calculateIndex(x,w){return x*this.columns+w}}class An extends re{constructor(x){super(),this.data=x,this.rows=x.length,this.columns=x[0].length}set(x,w,m){return this.data[x][w]=m,this}get(x,w){return this.data[x][w]}}function dd(H,x){if(rt.isAnyArray(H))return H[0]&&rt.isAnyArray(H[0])?new An(H):new Oi(H,x);throw new Error("the argument is not an array")}class Ui{constructor(x){x=An.checkMatrix(x);let w=x.clone(),m=w.rows,M=w.columns,j=new Float64Array(m),tt=1,et,st,lt,Tt,vt,Ft,qt,Lt,Zt;for(et=0;etMath.abs(Lt[Tt])&&(Tt=et);if(Tt!==st){for(lt=0;lt=0;lt--){for(st=0;sttt?M.set(j,tt,x.get(j,tt)):j===tt?M.set(j,tt,1):M.set(j,tt,0);return M}get upperTriangularMatrix(){let x=this.LU,w=x.rows,m=x.columns,M=new ne(w,m);for(let j=0;jMath.abs(x)?(w=x/H,Math.abs(H)*Math.sqrt(1+w*w)):x!==0?(w=H/x,Math.abs(x)*Math.sqrt(1+w*w)):0}class zo{constructor(x){x=An.checkMatrix(x);let w=x.clone(),m=x.rows,M=x.columns,j=new Float64Array(M),tt,et,st,lt;for(st=0;st=0;lt--){for(st=0;st=0;et--){for(j=0;j=0;Mt--)if(Lt[Mt]!==0){for(let Yt=Mt+1;Yt=0;Mt--){if(Mt0;){let Mt,Yt;for(Mt=ge-2;Mt>=-1&&Mt!==-1;Mt--){const Jt=Number.MIN_VALUE+Ze*Math.abs(Lt[Mt]+Math.abs(Lt[Mt+1]));if(Math.abs(bt[Mt])<=Jt||Number.isNaN(bt[Mt])){bt[Mt]=0;break}}if(Mt===ge-2)Yt=4;else{let Jt;for(Jt=ge-1;Jt>=Mt&&Jt!==Mt;Jt--){let Ht=(Jt!==ge?Math.abs(bt[Jt]):0)+(Jt!==Mt+1?Math.abs(bt[Jt-1]):0);if(Math.abs(Lt[Jt])<=Ze*Ht){Lt[Jt]=0;break}}Jt===Mt?Yt=3:Jt===ge-1?Yt=1:(Yt=2,Mt=Jt)}switch(Mt++,Yt){case 1:{let Jt=bt[ge-2];bt[ge-2]=0;for(let Ht=ge-2;Ht>=Mt;Ht--){let fn=Ci(Lt[Ht],Jt),$e=Lt[Ht]/fn,hn=Jt/fn;if(Lt[Ht]=fn,Ht!==Mt&&(Jt=-hn*bt[Ht-1],bt[Ht-1]=$e*bt[Ht-1]),lt)for(let vn=0;vn=Lt[Mt+1]);){let Jt=Lt[Mt];if(Lt[Mt]=Lt[Mt+1],Lt[Mt+1]=Jt,lt&&Mtw&&j.set(Tt,vt,x.get(Tt,vt)/this.s[vt]);let tt=this.U,et=tt.rows,st=tt.columns,lt=new ne(m,et);for(let Tt=0;Ttx&&w++;return w}get diagonal(){return Array.from(this.s)}get threshold(){return Number.EPSILON/2*Math.max(this.m,this.n)*this.s[0]}get leftSingularVectors(){return this.U}get rightSingularVectors(){return this.V}get diagonalMatrix(){return ne.diag(this.s)}}function Q0(H,x=!1){return H=An.checkMatrix(H),x?new Ca(H).inverse():fd(H,ne.eye(H.rows))}function fd(H,x,w=!1){return H=An.checkMatrix(H),x=An.checkMatrix(x),w?new Ca(H).solve(x):H.isSquare()?new Ui(H).solve(x):new zo(H).solve(x)}function jo(H){if(H=ne.checkMatrix(H),H.isSquare()){if(H.columns===0)return 1;let x,w,m,M;if(H.columns===2)return x=H.get(0,0),w=H.get(0,1),m=H.get(1,0),M=H.get(1,1),x*M-w*m;if(H.columns===3){let j,tt,et;return j=new cs(H,[1,2],[1,2]),tt=new cs(H,[1,2],[0,2]),et=new cs(H,[1,2],[0,1]),x=H.get(0,0),w=H.get(0,1),m=H.get(0,2),x*jo(j)-w*jo(tt)+m*jo(et)}else return new Ui(H).determinant}else throw Error("determinant can only be calculated for a square matrix")}function q0(H,x){let w=[];for(let m=0;mM)return new Array(x.rows+1).fill(0);{let j=x.addRow(w,[0]);for(let tt=0;ttx?j[tt]=1/j[tt]:j[tt]=0;return M.mmul(ne.diag(j).mmul(m.transpose()))}function eg(H,x=H,w={}){H=new ne(H);let m=!1;if(typeof x=="object"&&!ne.isMatrix(x)&&!rt.isAnyArray(x)?(w=x,x=H,m=!0):x=new ne(x),H.rows!==x.rows)throw new TypeError("Both matrices must have the same number of rows");const{center:M=!0}=w;M&&(H=H.center("column"),m||(x=x.center("column")));const j=H.transpose().mmul(x);for(let tt=0;tt0?M.set(j,j+1,w[j]):w[j]<0&&M.set(j,j-1,w[j])}return M}}function ng(H,x,w,m){let M,j,tt,et,st,lt,Tt,vt;for(st=0;st0;et--){for(vt=0,tt=0,lt=0;lt0&&(j=-j),x[et]=vt*j,tt=tt-M*j,w[et-1]=M-j,st=0;stlt)do{for(M=w[lt],vt=(w[lt+1]-M)/(2*x[lt]),Ft=Ci(vt,1),vt<0&&(Ft=-Ft),w[lt]=x[lt]/(vt+Ft),w[lt+1]=x[lt]*(vt+Ft),qt=w[lt+1],j=M-w[lt],tt=lt+2;tt=lt;tt--)for(le=Zt,Zt=Lt,ue=Wt,M=Lt*x[tt],j=Lt*vt,Ft=Ci(vt,x[tt]),x[tt+1]=Wt*Ft,Wt=x[tt]/Ft,Lt=vt/Ft,vt=Lt*w[tt]-Wt*M,w[tt+1]=j+Wt*(Lt*M+Wt*w[tt]),st=0;stun*Ae);w[lt]=w[lt]+we,x[lt]=0}for(tt=0;tt=vt;lt--)w[lt]=x.get(lt,vt-1)/Ft,st+=w[lt]*w[lt];for(et=Math.sqrt(st),w[vt]>0&&(et=-et),st=st-w[vt]*et,w[vt]=w[vt]-et,Tt=vt;Tt=vt;lt--)tt+=w[lt]*x.get(lt,Tt);for(tt=tt/st,lt=vt;lt<=j;lt++)x.set(lt,Tt,x.get(lt,Tt)-tt*w[lt])}for(lt=0;lt<=j;lt++){for(tt=0,Tt=j;Tt>=vt;Tt--)tt+=w[Tt]*x.get(lt,Tt);for(tt=tt/st,Tt=vt;Tt<=j;Tt++)x.set(lt,Tt,x.get(lt,Tt)-tt*w[Tt])}w[vt]=Ft*w[vt],x.set(vt,vt-1,Ft*et)}}for(lt=0;lt=M+1;vt--)if(x.get(vt,vt-1)!==0){for(lt=vt+1;lt<=j;lt++)w[lt]=x.get(lt,vt-1);for(Tt=vt;Tt<=j;Tt++){for(et=0,lt=vt;lt<=j;lt++)et+=w[lt]*m.get(lt,Tt);for(et=et/w[vt]/x.get(vt,vt-1),lt=vt;lt<=j;lt++)m.set(lt,Tt,m.get(lt,Tt)+et*w[lt])}}}function md(H,x,w,m,M){let j=H-1,tt=0,et=H-1,st=Number.EPSILON,lt=0,Tt=0,vt=0,Ft=0,qt=0,Lt=0,Zt=0,le=0,bt,Wt,ue,we,Ae,un,ge,be,Ze,Mt,Yt,Jt,Ht,fn,$e;for(bt=0;btet)&&(w[bt]=M.get(bt,bt),x[bt]=0),Wt=Math.max(bt-1,0);Wt=tt;){for(we=j;we>tt&&(Lt=Math.abs(M.get(we-1,we-1))+Math.abs(M.get(we,we)),Lt===0&&(Lt=Tt),!(Math.abs(M.get(we,we-1))=0){for(Zt=vt>=0?vt+Zt:vt-Zt,w[j-1]=be+Zt,w[j]=w[j-1],Zt!==0&&(w[j]=be-ge/Zt),x[j-1]=0,x[j]=0,be=M.get(j,j-1),Lt=Math.abs(be)+Math.abs(Zt),vt=be/Lt,Ft=Zt/Lt,qt=Math.sqrt(vt*vt+Ft*Ft),vt=vt/qt,Ft=Ft/qt,Wt=j-1;Wt0)){for(Lt=Math.sqrt(Lt),Ze=we&&(Zt=M.get(Ae,Ae),qt=be-Zt,Lt=Ze-Zt,vt=(qt*Lt-ge)/M.get(Ae+1,Ae)+M.get(Ae,Ae+1),Ft=M.get(Ae+1,Ae+1)-Zt-qt-Lt,qt=M.get(Ae+2,Ae+1),Lt=Math.abs(vt)+Math.abs(Ft)+Math.abs(qt),vt=vt/Lt,Ft=Ft/Lt,qt=qt/Lt,!(Ae===we||Math.abs(M.get(Ae,Ae-1))*(Math.abs(Ft)+Math.abs(qt))Ae+2&&M.set(bt,bt-3,0);for(ue=Ae;ue<=j-1&&(fn=ue!==j-1,ue!==Ae&&(vt=M.get(ue,ue-1),Ft=M.get(ue+1,ue-1),qt=fn?M.get(ue+2,ue-1):0,be=Math.abs(vt)+Math.abs(Ft)+Math.abs(qt),be!==0&&(vt=vt/be,Ft=Ft/be,qt=qt/be)),be!==0);ue++)if(Lt=Math.sqrt(vt*vt+Ft*Ft+qt*qt),vt<0&&(Lt=-Lt),Lt!==0){for(ue!==Ae?M.set(ue,ue-1,-Lt*be):we!==Ae&&M.set(ue,ue-1,-M.get(ue,ue-1)),vt=vt+Lt,be=vt/Lt,Ze=Ft/Lt,Zt=qt/Lt,Ft=Ft/vt,qt=qt/vt,Wt=ue;Wt=0;j--)if(vt=w[j],Ft=x[j],Ft===0)for(we=j,M.set(j,j,1),bt=j-1;bt>=0;bt--){for(ge=M.get(bt,bt)-vt,qt=0,Wt=we;Wt<=j;Wt++)qt=qt+M.get(bt,Wt)*M.get(Wt,j);if(x[bt]<0)Zt=ge,Lt=qt;else if(we=bt,x[bt]===0?M.set(bt,j,ge!==0?-qt/ge:-qt/(st*Tt)):(be=M.get(bt,bt+1),Ze=M.get(bt+1,bt),Ft=(w[bt]-vt)*(w[bt]-vt)+x[bt]*x[bt],un=(be*Lt-Zt*qt)/Ft,M.set(bt,j,un),M.set(bt+1,j,Math.abs(be)>Math.abs(Zt)?(-qt-ge*un)/be:(-Lt-Ze*un)/Zt)),un=Math.abs(M.get(bt,j)),st*un*un>1)for(Wt=bt;Wt<=j;Wt++)M.set(Wt,j,M.get(Wt,j)/un)}else if(Ft<0)for(we=j-1,Math.abs(M.get(j,j-1))>Math.abs(M.get(j-1,j))?(M.set(j-1,j-1,Ft/M.get(j,j-1)),M.set(j-1,j,-(M.get(j,j)-vt)/M.get(j,j-1))):($e=Zo(0,-M.get(j-1,j),M.get(j-1,j-1)-vt,Ft),M.set(j-1,j-1,$e[0]),M.set(j-1,j,$e[1])),M.set(j,j-1,0),M.set(j,j,1),bt=j-2;bt>=0;bt--){for(Mt=0,Yt=0,Wt=we;Wt<=j;Wt++)Mt=Mt+M.get(bt,Wt)*M.get(Wt,j-1),Yt=Yt+M.get(bt,Wt)*M.get(Wt,j);if(ge=M.get(bt,bt)-vt,x[bt]<0)Zt=ge,qt=Mt,Lt=Yt;else if(we=bt,x[bt]===0?($e=Zo(-Mt,-Yt,ge,Ft),M.set(bt,j-1,$e[0]),M.set(bt,j,$e[1])):(be=M.get(bt,bt+1),Ze=M.get(bt+1,bt),Jt=(w[bt]-vt)*(w[bt]-vt)+x[bt]*x[bt]-Ft*Ft,Ht=(w[bt]-vt)*2*Ft,Jt===0&&Ht===0&&(Jt=st*Tt*(Math.abs(ge)+Math.abs(Ft)+Math.abs(be)+Math.abs(Ze)+Math.abs(Zt))),$e=Zo(be*qt-Zt*Mt+Ft*Yt,be*Lt-Zt*Yt-Ft*Mt,Jt,Ht),M.set(bt,j-1,$e[0]),M.set(bt,j,$e[1]),Math.abs(be)>Math.abs(Zt)+Math.abs(Ft)?(M.set(bt+1,j-1,(-Mt-ge*M.get(bt,j-1)+Ft*M.get(bt,j))/be),M.set(bt+1,j,(-Yt-ge*M.get(bt,j)-Ft*M.get(bt,j-1))/be)):($e=Zo(-qt-Ze*M.get(bt,j-1),-Lt-Ze*M.get(bt,j),Zt,Ft),M.set(bt+1,j-1,$e[0]),M.set(bt+1,j,$e[1]))),un=Math.max(Math.abs(M.get(bt,j-1)),Math.abs(M.get(bt,j))),st*un*un>1)for(Wt=bt;Wt<=j;Wt++)M.set(Wt,j-1,M.get(Wt,j-1)/un),M.set(Wt,j,M.get(Wt,j)/un)}for(bt=0;btet)for(Wt=bt;Wt=tt;Wt--)for(bt=tt;bt<=et;bt++){for(Zt=0,ue=tt;ue<=Math.min(Wt,et);ue++)Zt=Zt+m.get(bt,ue)*M.get(ue,Wt);m.set(bt,Wt,Zt)}}}function Zo(H,x,w,m){let M,j;return Math.abs(w)>Math.abs(m)?(M=m/w,j=w+M*m,[(H+M*x)/j,(x-M*H)/j]):(M=w/m,j=m+M*w,[(M*H+x)/j,(M*x-H)/j])}class yd{constructor(x){if(x=An.checkMatrix(x),!x.isSymmetric())throw new Error("Matrix is not symmetric");let w=x,m=w.rows,M=new ne(m,m),j=!0,tt,et,st;for(et=0;et0),M.set(et,et,Math.sqrt(Math.max(lt,0))),st=et+1;st=0;st--)for(et=0;ettt;qt++)vt=x.transpose().mmul(et).div(et.transpose().mmul(et).get(0,0)),vt=vt.div(vt.norm()),lt=x.mmul(vt).div(vt.transpose().mmul(vt).get(0,0)),qt>0&&(st=lt.clone().sub(Ft).pow(2).sum()),Ft=lt.clone(),m?(Tt=m.transpose().mmul(lt).div(lt.transpose().mmul(lt).get(0,0)),Tt=Tt.div(Tt.norm()),et=m.mmul(Tt).div(Tt.transpose().mmul(Tt).get(0,0))):et=lt;if(m){let qt=x.transpose().mmul(lt).div(lt.transpose().mmul(lt).get(0,0));qt=qt.div(qt.norm());let Lt=x.clone().sub(lt.clone().mmul(qt.transpose())),Zt=et.transpose().mmul(lt).div(lt.transpose().mmul(lt).get(0,0)),le=m.clone().sub(lt.clone().mulS(Zt.get(0,0)).mmul(Tt.transpose()));this.t=lt,this.p=qt.transpose(),this.w=vt.transpose(),this.q=Tt,this.u=et,this.s=lt.transpose().mmul(lt),this.xResidual=Lt,this.yResidual=le,this.betas=Zt}else this.w=vt.transpose(),this.s=lt.transpose().mmul(lt).sqrt(),M?this.t=lt.clone().div(this.s.get(0,0)):this.t=lt,this.xResidual=x.sub(lt.mmul(vt.transpose()))}}Q.XA=re,Q.a_=yd,Q.yQ=yd,Q.Hs=Hn,Q.Ec=gd,Q.dx=gd,Q.LU=Ui,Q.Rm=Ui,Q.y3=ne,Q.qK=ha,Q.pb=os,Q.j=qs,Q.sO=da,Q.BZ=ls,Q.EK=Fo,Q.Db=cs,Q.Fx=us,Q.tU=Ti,Q.Ym=Xl,Q.rs=Xl,Q.QR=zo,Q.TB=zo,Q.oH=Ca,Q.Sc=Ca,Q.BN=Rr,Q.it=Oi,Q.$r=An,Q.QM=vd,Q.AV=eg,A=ne,Q.GH=jo,Q.SO=Q0,Q.uZ=$0,Q.yU=tg,Q.F1=fd,Q.re=dd},45411:function(U){"use strict";U.exports={aliceblue:[240,248,255],antiquewhite:[250,235,215],aqua:[0,255,255],aquamarine:[127,255,212],azure:[240,255,255],beige:[245,245,220],bisque:[255,228,196],black:[0,0,0],blanchedalmond:[255,235,205],blue:[0,0,255],blueviolet:[138,43,226],brown:[165,42,42],burlywood:[222,184,135],cadetblue:[95,158,160],chartreuse:[127,255,0],chocolate:[210,105,30],coral:[255,127,80],cornflowerblue:[100,149,237],cornsilk:[255,248,220],crimson:[220,20,60],cyan:[0,255,255],darkblue:[0,0,139],darkcyan:[0,139,139],darkgoldenrod:[184,134,11],darkgray:[169,169,169],darkgreen:[0,100,0],darkgrey:[169,169,169],darkkhaki:[189,183,107],darkmagenta:[139,0,139],darkolivegreen:[85,107,47],darkorange:[255,140,0],darkorchid:[153,50,204],darkred:[139,0,0],darksalmon:[233,150,122],darkseagreen:[143,188,143],darkslateblue:[72,61,139],darkslategray:[47,79,79],darkslategrey:[47,79,79],darkturquoise:[0,206,209],darkviolet:[148,0,211],deeppink:[255,20,147],deepskyblue:[0,191,255],dimgray:[105,105,105],dimgrey:[105,105,105],dodgerblue:[30,144,255],firebrick:[178,34,34],floralwhite:[255,250,240],forestgreen:[34,139,34],fuchsia:[255,0,255],gainsboro:[220,220,220],ghostwhite:[248,248,255],gold:[255,215,0],goldenrod:[218,165,32],gray:[128,128,128],green:[0,128,0],greenyellow:[173,255,47],grey:[128,128,128],honeydew:[240,255,240],hotpink:[255,105,180],indianred:[205,92,92],indigo:[75,0,130],ivory:[255,255,240],khaki:[240,230,140],lavender:[230,230,250],lavenderblush:[255,240,245],lawngreen:[124,252,0],lemonchiffon:[255,250,205],lightblue:[173,216,230],lightcoral:[240,128,128],lightcyan:[224,255,255],lightgoldenrodyellow:[250,250,210],lightgray:[211,211,211],lightgreen:[144,238,144],lightgrey:[211,211,211],lightpink:[255,182,193],lightsalmon:[255,160,122],lightseagreen:[32,178,170],lightskyblue:[135,206,250],lightslategray:[119,136,153],lightslategrey:[119,136,153],lightsteelblue:[176,196,222],lightyellow:[255,255,224],lime:[0,255,0],limegreen:[50,205,50],linen:[250,240,230],magenta:[255,0,255],maroon:[128,0,0],mediumaquamarine:[102,205,170],mediumblue:[0,0,205],mediumorchid:[186,85,211],mediumpurple:[147,112,219],mediumseagreen:[60,179,113],mediumslateblue:[123,104,238],mediumspringgreen:[0,250,154],mediumturquoise:[72,209,204],mediumvioletred:[199,21,133],midnightblue:[25,25,112],mintcream:[245,255,250],mistyrose:[255,228,225],moccasin:[255,228,181],navajowhite:[255,222,173],navy:[0,0,128],oldlace:[253,245,230],olive:[128,128,0],olivedrab:[107,142,35],orange:[255,165,0],orangered:[255,69,0],orchid:[218,112,214],palegoldenrod:[238,232,170],palegreen:[152,251,152],paleturquoise:[175,238,238],palevioletred:[219,112,147],papayawhip:[255,239,213],peachpuff:[255,218,185],peru:[205,133,63],pink:[255,192,203],plum:[221,160,221],powderblue:[176,224,230],purple:[128,0,128],rebeccapurple:[102,51,153],red:[255,0,0],rosybrown:[188,143,143],royalblue:[65,105,225],saddlebrown:[139,69,19],salmon:[250,128,114],sandybrown:[244,164,96],seagreen:[46,139,87],seashell:[255,245,238],sienna:[160,82,45],silver:[192,192,192],skyblue:[135,206,235],slateblue:[106,90,205],slategray:[112,128,144],slategrey:[112,128,144],snow:[255,250,250],springgreen:[0,255,127],steelblue:[70,130,180],tan:[210,180,140],teal:[0,128,128],thistle:[216,191,216],tomato:[255,99,71],turquoise:[64,224,208],violet:[238,130,238],wheat:[245,222,179],white:[255,255,255],whitesmoke:[245,245,245],yellow:[255,255,0],yellowgreen:[154,205,50]}},75196:function(U,Q,S){var 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",y=i(93314),R="data:image/png;base64,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",q="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAwCAYAAABXAvmHAAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAyZpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDUuNi1jMTQ1IDc5LjE2MzQ5OSwgMjAxOC8wOC8xMy0xNjo0MDoyMiAgICAgICAgIj4gPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4gPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIiB4bWxuczp4bXBNTT0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL21tLyIgeG1sbnM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",ce="data:image/png;base64,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",l="data:image/png;base64,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",V="data:image/png;base64,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",Rt="data:image/png;base64,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",jt="data:image/png;base64,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",Ue="data:image/jpeg;base64,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",H="data:image/png;base64,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",Vt="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA3AAAAJMCAYAAAC7JUS1AAAgAElEQVR4XuzdBXRU19oG4I+ixVpoC8Xd3d3dIWhwh0Bw9+DuGiTB3d3d3d29QkuxQoHef72b/0xHzijJJJO8e6277rrJ0eeccOedvfe3I6TPWvt/wkYBClCAAhSgAAUoQAEKUIACoV4gAgNcqH9GvEAKUIACFKAABShAAQpQgAJKwBDgHj59ThIKUIACFKAABShAAQpQgAIUCIUCSRP+zAAXCp8LL4kCFKAABShAAQpQgAIUoICFAAMcXwoKUIACFKAABShAAQpQgAIeIsAA5yEPipdJAQpQgAIUoAAFKEABClCAAY7vAAUoQAEKUIACFKAABShAAQ8RYIDzkAfFy6QABShAAQpQgAIUoAAFKMAAx3eAAhSgAAUoQAEKUIACFKCAhwgwwHnIg+JlUoACFKAABShAAQpQgAIUYIDjO0ABClCAAhSgAAUoQAEKUMBDBBjgPORB8TIpQAEKUIACFKAABShAAQowwPEdoAAFKEABClCAAhSgAAUo4CECDHAe8qB4mRSgAAUoQAEKUIACFKAABRjg+A5QgAIUoAAFKEABClCAAhTwEAEGOA95ULxMClCAAhSgAAUoQAEKUIACDHB8ByhAAQpQgAIUoAAFKEABCniIAAOchzwoXiYFKEABClCAAhSgAAUoQAEGOL4DFKAABShAAQpQgAIUoAAFPESAAc5DHhQvkwIUoAAFKEABClCAAhSgAAMc3wEKUIACFKAABShAAQpQgAIeIsAA5yEPipdJAQpQgAIUoAAFKEABClCAAY7vAAUoQAEKUIACFKAABShAAQ8RYIDzkAfFy6QABShAAQpQgAIUoAAFKMAAx3eAAhSgAAUoQAEKUIACFKCAhwgwwHnIg+JlUoACFKAABShAAQpQgAIUYIDjO0ABClCAAhSgAAUoQAEKUMBDBBjgPORB8TIpQAEKUIACFKAABShAAQowwPEdoAAFKEABClCAAhSgAAUo4CECDHAe8qB4mRSgAAUoQAEKUIACFKAABRjg+A5QgAIUoAAFKEABClCAAhTwEAEGOA95ULxMClCAAhSgAAUoQAEKUIACDHB8ByhAAQpQgAIUoAAFKEABCniIAAOchzwoXiYFKEABClCAAhSgAAUoQAEGOL4DFKAABShAAQpQgAIUoAAFPESAAc5DHhQvkwIUoAAFKEABClCAAhSgAAMc3wEKUIACFKAABShAAQpQgAIeIsAA5yEPipdJAQpQgAIUoAAFKEABClCAAY7vAAUoQAEKUIACFKAABShAAQ8RYIDzkAfFy6QABShAAQpQgAIUoAAFKMAAx3eAAhSgAAUoQAEKUIACFKCAhwgwwHnIgwqrl7lu+Vg5d+GGTJiyRN68/dvmbf74w3eydtkYef3mnVTy6uI0SbnS+WX00A6yZcdh6ec3U3f/+nXKSbvWtWTJiu0yc84ap89hvkPgrIHqR83aDvnqYzlzgHkz+0vxIrnEt+sY2bbzmO6uFcoWkGkTesr+Q2ekhc8wZw4fYtvu2jRNdu09IVNnrZS///7g0nWULJZb/Pq1kgOHz8mAIbNsHuPSyWXy+fO/UqFGJ3n2/HeXzsedKEABClCAAhSgQFAKhMkA17dHM8mUIYVLTjduPZQhI+da7JstSxqpXKGIS8c032nrjiMqtNhq7j5f6lSJZeGcwS7f36dPn6Ro2TZO7Z87ZwY5sMNfnj77TdLnqCOfP3+2uX+Cn3+U25fWysu/Xkui1JWcOhc2rlWjpCyY7SfLV++0Gljm+w+S2l6lpEe/KTJj9mqnz2G8Q4QIEeTNrwfUj2LGKyb/+9//TI7n06qmlCyWx6FznL94U4aPCXBoW2yEoIvA2rDFQFm3cb/ufjWqFpfF84bIjt3Hxcu7p8PHxoaJE8WTvLkzObWPtY0vXLold+4+tnusXDkyyMGd/vLq9VvJkqeeZEhn/2/88LELFu41q5eUhXP8ZMPmA1K/2QCr59Xet7dv/5b4KcpbHMfuBdvZIHPGlJI7Z8avPYzN/U+cuizXbtwP1nPw4BSgAAUoQAEKuFfAowJc7FgxJE6c2DaFEAY2rBwnxQrndEny2IlLUrpye4t9G3lXkFlT+rh0TPOdOnYfL/MWbLB5LHefL0umVHJ8f6DL9/fhwz8SN3Fpp/afPrGnNG1YWQYO9ZfxU5bY3dcdAe7O5XXyc/wfpHj5tnLqzFW712RrA3sBbsakXtKkgWNBdPe+k1KtTneT0yVJHF9KFM2lewnt29SWzBlTyZzA9XL2/HXdbXJmTy+tmlWXy1fvyHT/Vbrb7Dt4Rh49/sXid3W8Skug/5fexa9tjoblscM7qt7RgIWbxH/eGjlxYL7dU+OdTJEsgcSMGV3OXbipviRwNMAhACMI4z3A+2CtZUyfQrJkSm33WrbtPKrCp9Y6t/eW4X4+dvf7mg26950cJD3JX3MN3JcCFKAABShAgaAV8KgA58gHnoIlW0ikSJHkh7iWQe+bb76RFQuHC/67TqO+uj0+f758rfvBXQtUl67ckWUrd7j0FLyqFVffuDsT4Nx1PtwQAoezLW6c2PLwxiZxNsDFiPGt3L28Tj2LtNlqCty1VrVSUfnxh+8tLuX772LK0IFt1dC5nv2n6l7qjVsP5MixC7q/s9cDlyZVEjl/fIn8889H1eOC//6a5miAQ4A5cOis7qkypE+ueg31AlyVikVk+YLhX3OJdvet16SfbNp6yGK7PLkySosmVe3u78gGK9fslr0HTtvcFO8Jel/jx4srJSr4qOGMY4Z1kG++iaB6xvH+oSfRvDVqOUi2rZssBfNnlWTpq8jvL/5yOMB179RQBvdvrb5swd+stdara2MZ2Kel3VvNU6SJXL1+z7BdqeJ5pFrlonb3wwaVyhdWXyxs33VMnjz91aF9sNHqdXvl4JFzDm/PDSlAAQpQgAIUCP0CHhXgEKI6+NRVqlEiR5Y0qZPIv//+azJEqGHzgXLz9kNd+XRpksnZo4vk+s37kqtQY6eejhbg1m7YJ/hQ6EqbNqGHNGtUxakA567zuXI/2CfO97Hk8a0tTge45o2ryNTxPWTu/PXSqccEk9Mf3j1HcmRL59IlBSzcKB26jdPd116Aa9GkmkwZ100Ft4uXb9k9P+ZQofdQawhsR/fOM/nf6NlEQxDXhlCeOnNFvQNaD1zdxn1l87bDuudDL9mhXbN1A1za1EnFq1oJ3f28a5eV1KmSyJr1e01Cg/HG6DlCb9TtO49k2aqdusfB+2ft78kuUBBuULpEXtWzjoCes2Ajw5FhcO7YYrl4+bYUKNFc94yYN+dKgFswe5DUqlFKOvUYL3PnW+8x1wLcmXPX5MKl2xbXgKD904/fi3mAc4ZHuwf0wiLMs1GAAhSgAAUoEH4FPCrAGT+mpEl+lmtnV6ohSQlSVnDoCeJD7dwZ/W3OgbJ2oPAQ4KJHjybohXKmYVjr9g1TnApwkSJFlPPHlkiypD+rD+O37jxSp8Sx8Dx929aWxAnjW1wGeu0Q/NDbMjtgve5lnjh92TDnCx/uC+TLYtgOc+6aN66qelgDF20y/Hz56l3qmEsDh0q1ysUcvn3MLcMcM62hl+j1L/rzzYwPit6mKrW66ga4ti29lMOYiYvULrYCnK0LDe45cA4jBdGGc6b3ExSYQfGZSdOXGY5at2YZCZg1QGx90eFogMPfON4PrSHgYuglAuxLox5i7fe1GvSWF3/8JVqAszYU+MCOWarnnQEuiF4GHoYCFKAABSgQzgXCbIDDB3HMrzJuqVIkklQpE8vde0/ktk7RhNkB6wTzVPRaeAhw+fNmlj1bZrj0J+HMEErMu5o0pqsKUb5dx6rzIfycPPhlTlOF6h3lt99fWlyHs3Pg8GF86njTeWN6N5c8Q1VBOLxwfIl8/PhZ9eSgUIq1hiC4eslo3dCQKGE8w24Y3nf93Je5Zelz1JZ///1SxOTDhw9qKJ9eD9zFE0slYYKf5MekZdS2zgQ4BONPn74UgglLAQ4FUxD4I0eOKGmz1ZJffv3DYDxqiK908Kkjoycs1C0+hA0dDXCODoXUTp4kbWX5489XHhvg0Dsc6P9lNEHztkNULyYbBShAAQpQgAKhXyDMBrhO7erJiMHtnHoCXXtPEv95a3X3CQ8BLnmyBOLbpo5TZlGjRjH0ijlSxOTbb6PK5VPLVWDKmtdbfv3tT3U+zXfrjqNSu2Fv3WtwNsBhnlb1Kv/1qKGwDYZmYggt5hJpbcTY+TJycDvBEMpps1ZKrwHTbBpgOB5CAYYnNm7lZ3VbR+fAGQ+hdDXAoXcZpfGb+wxTcwBhFSNGNHn2/IWgiqJewzNI8PMP8vbt+1BdIn9JwBCpXqW4GuqZLX8Dk1vZsWGKFC6YXRU2OXD4jMnvrl67p4aPOhrgMMwRc+zQUB105JD2qlps244jTY67fsU4wXuPAIfmzh44zN3dsl1/uK1Tf7giargw3nm0hUu3ik+nUc4egttTgAIUoAAFKBACAmE+wGG4lbXhdpp3t4711QcZRwLc+/cfTApuOPPMvosdUzBM0ZkiJu46nzP3Ybyts3PgtMIQWH9rwtSl6lAxY3wrpw8vVGEib9Fmap6TXnM2wJkfAz18mTKktBhCi+NePbNCzafMlLuePP/lhU2OQgWyyc6NU2X1uj3SpLX1pRfcGeBmTektjbwrqsI8fsPnGGxxI+hpcabYCYYFWlsSAj2C6OkLjobeQ/OKmcWL5JQtayep05kHOPg+u7tNYsWMrns5w8cEyoixgQ4HOOODTB7bVVo2ra6Gsg4eMcfwK/z9/np/h6A8f6lKX6rVujPAvXv3Xqb5r5KJU5eaVLR05Xk0qFteZk/rq3ZFSF20bJsrh+E+FKAABShAAQq4WSDMB7hBw2bLuMmLFSuG6aGSIRbm/evVGwM1Kht27VDfoQCH9c7ev//HpccULVoUVSHTmQDnrvO5dENOFjEpWyqfrFo8Uj0HfFhEGXzMucMQOXwYR8n7zj2/FDTBB3f01hm3H+J+L/5T+6gepSatLXu+Xv71RrAMhF7Dmlta2XkUFClevo3hOY4e6iu+beuocusou47elfUrxqoKfnrLPRQpmF3N+0P1RFsLdLszwOGesSTB+JGdlRuGA+MLCRRO0dZPQ7iDkbWG54JAjl7RFBm/9MyYt0c3NwsqjwZHw3BErVcLx48YMaKcOBAoGdIlV6czD3Ba1VAMqZy3YKPhkvLkyiBlSuaT/oNnysRpy1wKcJhfi3m2lWt2ESyloDVt7cIFS7ZIu86j1Y/dGeC064DV2ImLZNa8tV9VLTVr5i/LH3D4ZHC80TwmBShAAQpQIHgEwlWAS582mZw5ssjig6AzAc5dVSHdNWRz1eJREjHiNy6/XZEjR5KSxXKr3qtdey2r49Ws38tQfbFMybyC4Wdaw7w59PZgzhf+O1u++obeTe0DtDMXdvrsVSlWTn+9Lu0Za8dDaXzvpv3VtWEuWr1aZSRjrrqq901bJ2zV2j3StI1lDxuGYm5dN0lWrNklzdsONVwievLSpUlq+N8IRJtWfwmkKFoCI60dO3lZJo7uokKX8RBK9ATGjfud/JyivNrUmTlw2vao1oiQ5Td8toydtNgQ4LCgc+7C1quvYh8ENFsBbs3S0arIiiMtb+6M6gsLVGf88MH+kgwoYIP3RWuY24Y5bq/fvFO9bOYBrk0LL5kwqrNMmbFC+gyabthv5uTe0rh+Ralau5vs2X/K6QCn/TuBaqQJUlUw+cKmWaPKMm1CT+k7aIZMnrHc7QHOt+sYKVY4l1psHu3xk19k8Ii5stTFpU0ceY7chgIUoAAFKECB0CXAACei1hZztAcurAW4v57tVR+yg6vFil/cEFzQM9SwXgW5c/exKiKDBaIDZg6QOjVLS/suY2T+4s2Gyxg/spPuWnC2rvPu/acmw92Mt715YbWad/f9d7FUgRTMd5o1d4106zNZ9Vhh+CF6rdC0AiDWSrZj8ezNaybKkhXbpbXvCMNpHC2agh1Q1KRP96YWAe7Fo13y6PGvkr3Al7lejgQ4LI9hPOwUvY19ezSTVr4jVG+l1gMXFAHOmfcE6wP+EPc7SZe9ljx+4vjaZdo5ECYR3Dp0GyuzpvQxCXDoJb10cqmgaEzh0i3VIt1awxzLFMkTSuI0ldQXAo7OgdP27+hTV81/23/ojFTy6mJyy3gv27asKbUa9JJtO7/Mo3RnD5z2TqLgEBY2x/uBhp7nzj3Hy+Wrd515RNyWAhSgAAUoQAEPFGCAC+cBDr1GjjT0LGEuEsJXuWoddXfBkEEsoI4Ki1rDgsvWWvkyBQQ9OidPX1GLMwdXw4LJG1eNV0MkfVrVVHPgMIwWc4CMe1JwfiyWjLCH606fo47qocPPjOfFaWuSGQ+jw77oYWzdvIbhNjBfqniRXGrh8X0HTReqxvC7wf3bmAQ4hB2EngOHz0rFGp3VcewFOPQcYh4TljRACH6jU7DEUwPclrUTZffek6oyrHnPefs2tdVC3ua9cto8yXv3n0rmPPWUobMBDuEcIR3DeTGs17hhTT48k0y568r9B89CLMBp14SexuF+7VSPK4bI4h0fNjpA9VqyUYACFKAABSgQNgUY4MJ5gNNeayy7kDZ1EjXkTq+h+AeKgJgvpGy8bd8eTdU6WrUb9lHV+2w1FC45c2Sh6mUrUKJFsC0WjXlUx/bNU0Fs7KRFsmC2nwpwmId4bO88SZkikdRt3M9Q2U/rTRk2ep6MHLdAzYXLlyezmhOmzX2sULaAWkbA1qLhuHdtWYYLl25JwZItLDjMlxHAfKRj+wLUcLhW7Yc7FOAQJhbPGyzJkiZQ4RpDELV19bQTBmeA09bu03vWtnrgcN2//f6n6oW11nDdGH5pPvQZwfjK6RUS76c48ubNO/UsMZwVrY5XaQn0H2hSIdSZAIde2sc3N6tCLWmy1jQJ7igGc3x/oJg/z5DogTM2Q2/ymGEdVU82Gr58wFzO9ZsOhM3/1+JdUYACFKAABcK5QLgKcCiGgGqHWJg3R4GGhkfvzBBK9AZohTacfXeGDfRRc1ecKWLijvOh5+fs0UUqTO3cc0Jathum5qQZN3sBDossY7FlzBuq06iP7nw44+NhQXWUvjfvAUMvHuaOoTdhcP/WDs/PQ48aCtaYN20eVZdeE+WPP/8yBLgWPsNUMNu0arwULt1KvRMIe9fOrlCl5NNlr60+vOMaUDmzUctBat03tCoVi6iqjhhyieNaa5rJ7n0nBUPfzJt5gNOCIYruaPdirwcOx0R109nT+kjlCkXk9xcvpUa9nibVHIMzwGG4YqxY0aWSV2eL4XvWApy2DiDebSyGba+ZBzitkikKeeCLgChRIsuiZVtV0ZZRQ9qrirLG75UzAa5S+cKyctEIefDwmeQo2Egt8K61qeN7qCUzzP9+QzrAadeHIkGTx3ZTxVd6DZgq02Z9WYOQjQIUoAAFKECBsCUQrgIcPuCsWz5WzD9QOxPgguLxOxPg3HU+fOhbNNdPcufMqHpyqtTupj7Eak0bhojqnYVKtRQMUdMa1lqb7z9IsHA11kWz982/FqqwFht6jLD+HAqhlCiaW4oVySnV6nRTc5pePt0rKJLiSENwjJPoS2EHrWHo4/njS9QcvPTZa0vZ0vlMAhy2Qzi4fvPLsgVe1UrIormDTapLapUOt+44onoWjbeb7r9KevafavXy+vVsLuiVxPlRrRJVLY2beYDr1rGBDBnQRoVCbT6eIwEOx0TwnTSmiyp9v37TfmnQfKDhVI4GOG07BNdUmf8bCmrtBrUS/+hFy5Dzy3BT42YtwGH+2vlji1XQsDbP0Pg45gHu6N55ki1LGsGaaOjFWxo4VK17hxAe/duoal4cCtI8fPRcHcaZAIdethULR6geTcwZbOEzVPW4ISTfvrRWPUvYGA9VDS0BDveK3slmjarIjNmrLZ6HI39H3IYCFKAABShAgdAvEGYCHD7Aocfj4uVbqvdHW8jbeBkBrTiB+WLNzgQ4lCy/fPWOS08WPYCouOhMgHPX+XBDGDaGXgbMq8EwLPRM4cM85lnh5/hwiIbKd2WqdBBcG0rwo0fl48dPag4WCnvYatgWhSDQy4aglz1rWlVwQmv40F2pZhe5e++JIcBhOKF5ODA+B+aAYQ0x8wC3YPYgqVWjlPQeOE2mzlwptWqUtAhw2nEQgE4dWqBK1mO4Iz60Y2hanlyZZObkXuoDfMpM1QW9PnVrlpGAWQPUWmtYz85aWzxviNSoWlz1Zn4XO4bUa9JfzefSGiwQgiZMXaaGCmrBBAUynjz9TYXkH3/8XoYNbKvKvI+esNDue9e0YWVZtmqnSc+RtQCH+xju56Pm6P39/oOkTplYLaFgXl3T2kkR2tGjPHxMgGAxdPNmawgl9sP+WFQda/+hx9VaMw9weD+LF81lqACKoI4Qhx5VNPMvaJwJcNgfzxrPHMOK8V5jThm+IEBhE71hs6EpwNl9QYw2wPuNLxnQsF4eqo+yUYACFKAABSgQ+gU8PsDhg9XBI+dUDw5CAYpDoLiEXoDTejzMKx46E+DCWhVKvVd0xOB2EjlSJOnrN0MVikBhDq2UO3rgEHb++OMv1QuROWMquXLtrhp26chaUncur1NFQbSGde6On7ws6I3Df9DroTWtBy5mvGI2Axwqaf777/8sAtzuzdPVsNDcRRqrgGcrwGnhHqEUBUfy5c5sEixxTVpRC62UvLXggm0xHPPB9Y0SO1Z0yVWosaxYNEKSJflZvLx7qSIl5i1t6qRy7thiuXr9nmzcclB6d2uievzQ8+dMwzpuGE6KkvxasxbgEJzPHF6ohiDimSKsoOz+oGH+dqsZ4jx4lughRe+bXpVJe1Uo92+fJXlyZZRufSbJrLlrHQ5wsMXQSeO1HHEdpw4ukDSpk0jDFgNVURetORvgtP2wTMHIwe1UqMUXCDDSwr3xxXpqgDNeWsN8KQZn3jluSwEKUIACFKCAewU8KsDhg2a+3JnUt++lS+RRw/20hp4iFKeY7r9anj77zSLAYRFtzNdBT13x8m3l1Jmrhn0Z4CxfOgxDWxIwRH3ARjn10eMXyrb1k1URk2ZthqihqJgrtvfAaTUMEkHakYb5SwkT/KjCHv5z9fpdqwujf22AQ5VJzHvTyr3bCnBa6XntHjCMFF8MHDpyXu4/fCZ7t86Q4ycvSalK7aVd61qqhLu2ULTefRfMn1UN3dNK0SMsHdjhL1GjRJbKtbqavH/YH2X/+/VspuZuxY4dw+UAN3lsV6lTs4w0bjnIMA/RkSGU6H1FQ9B1pPm2rS2jh3ZQcyZr1Ouhu4u9AKcVeUEPJZZVePfuve5xrK3faLyxVhkUS0SkyeqlwujXBjjsj6GaqEqJKo84JoZ8mgdwTw1wPbs0kkF9WykmW19GOPI+cBsKUIACFKAABdwn4FEBDkPl8KFca+gV2rHrmKrah2GTxgsl58iWVgoVyCbHTlxWw9M6t/dWw8XOnr8uRcq0FgS6PDkzyqGj56VAviySK0d6OXj4nNVeJHctrK3dm7vPZ/zKVSxXSC1ujSFWk6YvkwFD/NXQQuMqlJi3tmnVBFXFMWDhJukzcJpuCfuveZW/NsChp8Z4aJ6tAIf5ZxgiisXAEe6Nl0LAPaBiJoYYps7iJRim6NevtSqa4T9Pv+cIvZjoBTYeLot5hKhq+dert1K2iq/qbUNLnSqx7Ns2Sw2zROVD9Hi60gOHeVsXji9R94xeMW1InCMBzvw57dkyXVWz7NF3ikVJ+h9/QNGbxWqNN+NFyM2PYS/AYXssiI6F0Xv0m6Lmbek1ewEOf8unDy1UPabGQ6aDIsBpf4fasWDbf/AsmTJzheFSPTXA4X3Hu4yGNRitBeiv+RvmvhSgAAUoQAEKBL2ARwU4zJsZ1KeVmkeE/yB8GX/Tbo0HQ/YQPvCBs0L1Tmo/rAuGtZ4wrwhzXGzNscJx3R2o3H0+3CPK2I8Y3F65YAHoNh1HGoai6VWhRMBDT1yObOlUwYi2HUfpDg909LXFAtSoAoj5dwuXbjXMgXN1CKX5eW0FOHvXiDXeMLwTQwVHDfEVFGJp3naooXy98f4YXnj17EqJET2amjdnHAZR1KSLb33JU7SJWkcMpfD3bZspyZMllMXLt0mbDiNlQO8WugEO66IdPnpeLW+g12ZN6a0WJNcWKNe2cSXA/f5wl0SNGll+SFLGondVqyCKHkr8PVlrjgQ4bS1AFELJlLue7lw4ewHOr18r6dG5kVq6oli5thbHwLxThDx440uemtVLysI5frJh8wGp32yA1evH3wHebwzPxNBsDBdG7ysavjTCz/DvjxbgsEyF3lBQLAyPnrw8RZoYQru9983899owUEeKvjh7bG5PAQpQgAIUoIBnCXhUgMMcFHtBy5wfQ6tQ3h4flHfsPi5e3j3VJuVK55f5swcJ1rHCz5u3HSIv/3pj9ekZBypUWnSlTZvQQ33j7UwRE8y5C+7zIeBiKFXDeuXVPEL0Urb2HWEyH83aMgKYi4SeURR8wLPBh2IUtMC8OHsNH6xzZk+nAiN6/VCVEE0rDvK1PXBBGeCMj4UlBLCUgLUP07DE8LR9B89I5ZpdTC4D7zDuF0NPsebYjg1TVABGMEPlTwxFtRbg/nyyRxXpQUgxb6ieeGTPXDUXEAtYG89JczbAoVf10sllao02DG00bphrumn1BBVc8hVrpobUWmuOBDjsi97N9GmTq3mUKMBi3mwFOBSJCZw1UL17qI6q9WraevccCXCo/onAjH8fxk9ZIgOH+qtDIsChcA/+TrRiKVqAs/e+M8DZE+LvKUABClCAAhRwRMCjApwjN6Rtg8DW2ddbUJwCH5rRY4dqhn++fG04DD4YYkFmDL1CNbxKXl1MFu41Pp/5UCpnrsV8W2cC3NecR9vX2vm+/TaqdPH1VsNLESZg4zd8tsxbsNEiKKN37MQB6wt544P9mOEd1VBLfJhGEQlUtjMuSpIqZanw51QAACAASURBVGKpW7O05MiWXgU342ImCAToGd287bAKgZjTqAU4BDpbwb1rh/oqUJhXoTS3+5oeOO1YCJmXTi6VSJEiSbrstSyKd+Aej+6ZqwqDlKjgI+cv3tR9hFiyANUlMewRYbdMZV9DUQ4twHk37a8KmqBpyxmsWrtHmrYZbHJMDBU9uNNfVfTEkE4M7TRu6P1BhUsMkUuWoardoXLa8gfmARS9WCgUgoCH3ia/4XOsvp7otXp6e6salqrnZLxjkwaV1JBdOOQt2tTimNYCHBaNx5w/hCm9oZPWLg7DsPGlg7UeOFzPhFGdJVq0qMofz8G4Va5QWFXQxGLZGHqoBThUKH1p9O+Ltk+ihD+pQigMcEHxrxmPQQEKUIACFKBAmApw+JCED1dYTgBD3rQ5UINHzFXfous1FCfAECcU60Dp+openVXPg3nTAhyqJr5//9/ivs68QvgAjA/+zgS44Dwf5jLdOL9afbjE8D0U5TAe7ofetbfv3qvwpFVePHbikpSu3F73tuHdunl1VZpcVSm8+1iy5W9gCF9YL25JwFC1L46J3puTp6/K3gOnZOfuEyZVBbHN164D97UBDr0vJYvnVs8bpfYzZUypelDRG6nNpTQ+R6yY0WX/jlmqN0lbusD8GtCzg8qemHeJhuNgPTMMG9UazjF9Yk/VK4ceKRQYaVivgnpH9QqnaMUocIycBRuZVKDEMRFwUDESX2pgaYLDx87rFitB6EyVIpHkz/vl2jr1GC9z528wXBf+VqaO7656DHMWamTyd5A3dyYplD+rWo4AvYhFC+VUSwygqifmDRrPTzU3wXkP7Zqt1q8bN3mJxbBovQCnLeaNY2GeZj+/mVb/FNW6cOmTqzmaESN+o4Zho8iMeQjFdSC4YR01tJVrdkvbTqNMlmTQToLeYxRLQvPUOXDO/NvFbSlAAQpQgAIUCD0CYSrAYW0urG2Fhjlcq9fvVQsiW+sF0R4DPqhvXjNBMNQM63+hVLh5c/ecNHedD8U7jhy/oEr5m7cb51dJ4kTxVY+NtgbckJFz7a5HhrmGA/u0kD37Txt6kHBs9NzUq1VWTp25ooKbcRl4vT8JLcBhXpitHjjM/dJbB878mM72wCFwP7uzTfWmGTeEkkpenU16F/H7wf1bC4KFtcqMCMpXTn+phIoeRvQaITibN1T3vHpmheoBMm6o1oheHJxfawg3x/YFqGs0L59vvC8KqvTu3kQNCXSknTh1WQ3pxN+ReUOQQ2+TcatQtqCsXjLKYlt7a+U5ci16AQ4BFz1lvQZMEyyobqtpi6Gbb5O/eDO5dOW/NR3xpcPh3XPUUF586TNu8mJHLk9QnAZz+bDkA3otzRvmSyZN/LP6EgnP3ZXGOXCuqHEfClCAAhSgQNgUCFMBDt+0B8zsrwpL4NtzfOPuaMPivYvmDVY9HHrrmaFnb2CflmreC0q9u9IQliqWKygTpy1TQwVtNXefT+9a0FOEJRvQ0KuyZfth8Z+3zuLDuysWjuyzavEo1ftkrUy9dgwEBwQ8rJtmq6HXq3P7emqo5rRZtj/0a8dBzyPeKwQkGKCXdsOWg7rBBoEPywsg5KKcvV7DnC30YI2ZsNDm+4nevErlC0ncuN+pw1y9dlcOHb1gUaDj++9iSpcO9SVFsoR250piWGOBvFkMYVzv+lDZFT1L6KlzpuE6tJ4r7Pfu7w+yc89xp4+jd04Mcd6wYpxazqFq7W5qE4Rc9KIZr/dm7XrRMzxpDOYiRlCbPHj4TNZu3KeepXlD7yoCnPGC6844BNe2GLKJYcfoETx6/GJwnYbHpQAFKEABClDAAwTCVIDzAG9eIgUoQAEKUIACFKAABShAAZcFGOBcpuOOFKAABShAAQpQgAIUoAAF3CvAAOdeb56NAhSgAAUoQAEKUIACFKCAywIMcC7TcUcKUIACFKAABShAAQpQgALuFWCAc683z0YBClCAAhSgAAUoQAEKUMBlAQY4l+m4IwUoQAEKUIACFKAABShAAfcKMMC515tnowAFKEABClCAAhSgAAUo4LIAA5zLdNyRAhSgAAUoQAEKUIACFKCAewUY4NzrzbNRgAIUoAAFKEABClCAAhRwWYABzmU67kgBClCAAhSgAAUoQAEKUMC9Agxw7vXm2ShAAQpQgAIUoAAFKEABCrgswADnMh13pAAFKEABClCAAhSgAAUo4F4BBjj3evNsFKAABShAAQpQgAIUoAAFXBZggHOZjjtSgAIUoAAFKEABClCAAhRwrwADnHu9eTYKUIACFKAABShAAQpQgAIuCzDAuUzHHSlAAQpQgAIUoAAFKEABCrhXgAHOvd48GwUoQAEKUIACFKAABShAAZcFGOBcpuOOFKAABShAAQpQgAIUoAAF3CvAAOdeb56NAhSgAAUoQAEKUIACFKCAywIMcC7TcUcKUIACFKAABShAAQpQgALuFWCAc683z0YBClCAAhSgAAUoQAEKUMBlAQY4l+m4IwUoQAEKUIACFKAABShAAfcKMMC515tnowAFKEABClCAAhSgAAUo4LIAA5zLdNyRAhSgAAUoQAEKUIACFKCAewUY4NzrzbNRgAIUoAAFKEABClCAAhRwWYABzmU67kgBClCAAhSgAAUoQAEKUMC9Agxw7vXm2ShAAQpQgAIUoAAFKEABCrgswADnMh13pAAFKEABClCAAhSgAAUo4F4BBjj3evNsFKAABShAAQpQgAIUoAAFXBZggHOZjjtSgAIUoAAFKEABClCAAhRwrwADnHu9eTYKUIACFKAABShAAQpQgAIuCzDAuUzHHSlAAQpQgAIUoAAFKEABCrhXgAHOvd48GwUoQAEKUIACFKAABShAAZcFGOBcpuOOFKAABShAAQpQgAIUoAAF3CvAAOdeb56NAhSgAAUoQAEKUIACFKCAywIMcC7TcUcKUIACFKAABShAAQpQgALuFWCAc683z0YBClCAAhSgAAUoQAEKUMBlAQY4l+m4IwUoQAEKUIACFKAABShAAfcKMMC515tnowAFKEABClCAAhSgAAUo4LIAA5zLdNyRAhSgAAUoQAEKUIACFKCAewUY4NzrzbNRgAIUoAAFKEABClCAAhRwWYABzmU67kgBkWjRokiSRPHl7bv38vTZbyShAAUoQAEKUIACFKBAsAowwAUrLw8e1gUmjekqrZpVl35+M2XS9GV2b3fWlN7y+vU7GTd5sfzy6x9q+2qVi0nfHk1l3oKNMjtgnd1jOLJBlCiR5fDuOfLw0XPxbtpfPn78pLtb9OjR5MT+QHn4+LlUqdVN/v33X0cOz23+XyB/3swy33+QwfnFH38Fi82330aVvLkyycEj5+R///uf4RxdO9SXJg0qydRZK2Xu/A3Bcm4elAIUoAAFKECB0CXAABe6ngevxoMEsmRKJUf2zFW9b2mz1pTXb97ZvPoEP/8o18+tlEiRIkmuQo3k+s0Havtl84dJ1UpFpUO3sRKwcFOQCBQqkE12bpwq5y7ckMKlW1k9ZoWyBWX1klFy4tRlKVmxXZCc2/ggfXs0k0wZUrh03Bu3HsqQkXMt9s2WJY1UrlDEpWOa77R1xxFl5Er7LnZMOb4/QJIm+VmmzlwpvQdOc+UwFvugVzd50gSSMkViyZcnkxQpmF1yZk8vkSNHkso1u8i+g2cM+xzYMUty58wo9Zr0k01bDwXJ+XkQClCAAhSgAAVCtwADXOh+Pry6UCywff0UKVIou0yctlT6D55l90oH9mkpvbo2ll17T0j1uj3U9rFiRpf71zZI1KhRJHUWL3n+ywu7x3Fkg97dmsiA3i1k5Lj5Mmx0gNVdJozqLG1aeMmo8Qtk6Kh5jhxabRM7VgyJEye2ze0xpHTDynFSrHBOh49rvOGxE5ekdOX2Fvs28q4gs6b0cemY5jt17D5e5i1wvucKPZcrFo6QksVyy/v3H6RNx5Hy9u3fdq/pt99fyumz1yy2S54sgcyd3l/w3z/H/0EiRIhgss3nz5/l0pU7MmHqUlmzfq/6Xbyf4sjdK+tVj1ziNJXlr1dv7J6fG1CAAhSgAAUo4PkCDHCe/wzddgd5cmWUscM7yi+/vhDfrmMFH0ZDW8PQwX/++Rjsl5UjWzo1RBHnypirrjx7/rvNc+K6bl5YIz/9+L1Uq9Nddu87qbavX6eczJneTzD0bsKUpQ5f9937T2TjloNWt9+8ZqKUKJpLSlTwkZOnr1jd7tLJZZIyRSIpX62jHDp63uHzd27vLcP9fGxuX7BkC9Xb+ENcy6D3zTffyIqFwwX/XadRX0FAMW9/vnwtp85ctRrgEGiWrdzh8DUbb+hVrbjquXIlwH3/XUxZt3ys5M2dyelz79xzQmrU+xLejRuGSP5yb7tEjBhRXr1+K69evZHEieKr3kG/4XNUD6l5D2/j+hVl5uTecvb8dSlWrq3Na0HIMx566fSFcwcKUIACFKAABUKNAANcqHkUof9CVi0eKRXLFVIX2mfgdJkyc0WouejcOTNIzy6N5Omz36VzzwnBfl344IwP0IuWbZW2HUfZPV+DuuVl9rS+cu3GfclduLFh+7XLxki50vnt7m++wdYdR6V2w94mP44UKaIKAJEjRZR7VzfIh38+StpsNeXz5//mtSFwah/kEdwQ4N69ey+J0lRyKviiF6yDT111/iiRI0ua1EnU/Dncn9YaNh8oN28/1L23dGmSydmji+T6zfuSq9B/Ho5AaD1wazfsk0YtBzmyi8U20yb0kGaNqjgd4PAlxpxp/dT9/vrbn7J522GHzl+pfCGJHy+uLFmxXVr7jtDdJ0O65OqLgJd/vZGypfKpkLh89U5p4TNMd/vlC4ZLlYqODSX9489XkiRtZYeulRtRgAIUoAAFKBC6BTw2wBUumE1mTuotsWPHkOFjAoOs+IP2uFo3ryH9ejaTV6/eik/nUXL46IXQ/STdcHUotNGvZ3N1pgrVO6mCCqGlTZ/YU5o2rCwBCzdKh27jgvWyMHwQQ9dUYYmiTeXKtbt2z4feOvTate8yRuYv3qy2T5jgJ7l2doV8+PBRJk1fbvcY2CBv7oxSpmQ+NdwRwx6NG+ayYU6brYberi3bv4QO37a1ZfTQDg6d9/TZq1Z7eTAH7NrZlarnKEHKCg4dz7t2WZk7o7/NgGLtQCER4DAvDUNgO7Sto3oNMbyzYYuBDg15xfxGzHPEEMfchZs4VK3UXoBLnSqxnD60UBDa39gYuvlNhAgSI8a38uDhM9VTzEYBClCAAhSggOcLeGyAu3xquaRIntDwBFDsYPSEhUHyRDBPCR/WtHb33hPJktc7SI7t6QdBcYxff/1Dbt15FKpuxZ0BrlL5wrJy0Qh59PgXSZ+jtl0H9Fqi9/L3Fy8lbbZa8uHDP2of/6l9pGG9CjJ20iI1TM6Rtm39ZClaKIdkz9/A4hloAQ7z6LRzaMf88Yfv1Qd5LcAhfKL3DYVV0ANnbXhdxIjfSLRoUdVQxuLl9Yfp2QtwqLKJcG3cUqVIJKlSJhb8bd2++9ji1lGNc9vOo7ok7gxwmJvYrFFl6daxgQrcaNNmrZS+fjN1h32aXzB6Gg/s9FdzHY3Du71nbS/AaT230/1XSc/+U60eDl907dgwVVas2SXN2w61d1r+ngIUoAAFKEABDxDw2AB3/9pGNZ/IuOn1Sjj7DLTiD8b7Ya5X8gxVnT0Ut3ejgDsDHOYBtmtdSxYv3yZtOoy0eZcYNnfiwHz1rq7buF/12qBlz5pWzaFDr0zGnHVNClCghwdfTnz69Fn1nGgtbeqkcu7YYrl89Y7kK9bM4rxagNPrHQ2YNUDq1ixjCHA9OjcUv36t7Vaf1Ob6YR4d5tPpNXsBrlO7ejJisHMVLrv2niT+89aGaIBD8RW4oagI2oVLt6TvoOly/NRlQXXNNKmSSJdeE632wqFK5f4dswTPbdmqndKynf5QSBw7bpzYkixpAsP9YnmCcSM6CebMGVfivHj5tpQtlVdWLxmthlvmKNDQZvXTIQPaqPCJYcVzAte78S+Sp6IABShAAQpQILgEPDbANW9cRaaOtywGMHxMgIwYO98lL+MhgsYHCMry7sbHxQffOl6l5cUfLyVw0WaJGeNbKVemgCobjjldqOJ39vwN2bH7uG6pc21/zGvCfDR8y9/Z11uKF8mpqhpevX5PfXBDD4txw9ynyuULS9YsaSRThpTqA+jFy7fk+MlLsm3nMat2SRLHVyEAc51QDc9aK1Myr6CnDqXP8cEUxSYuXLqpjm0cSPT2x3XXrlFKcmRLq4YcovjH/QfP5PzFm+oDqHGlPfQu5M+TRR2mWuWi6nxnzl2TjVv+K6e+YMnmIC+2cuJAoGTOmErNZcKcJlsN85jQm4JmPGdL60nzGz5bxk5abHIIhD18QWE+7G30UF/xbVtHd/gkDuBogDt24qJcPr1cVZIsUqa1zTL6eA8P7PC3GfQcDXBYJ292gO0Q0a1jfWnRpJo4EuBQ/RGFTlxpCFeoJGmriAn+Hg/tniMxokeTwSPmytKVO1RPJZaPmD2tn2TNnFpe/vVazQdduHSryWUgoC+aO1gViEHVyKZththcYw89seiRtdfQg7tt3STVe9m4lZ9JRcqJo7uoJS2M59gd3x+orjdfsaZy+ar9ob72zs/fU4ACFKAABSgQ8gIeG+BA18Gnjowa4muhiDlxI8YGOqWLb9Qx5828YW0nrPEUHA1Ba8vaSaqQQ9GybWTz6gm6le0+ffokvQZMk1lzTXsktP1RnS5lpupycOdsQSEE45Y0XRVV4VBrCGBTxnWTmDGj697S6nV7VIVJvTXNMHQPwQPX812Ckhb7I2yhLD2KQ+g1hC8M49q+Sz8kIghgrhA+/Frbv1OP8bJq7R71a79+raRH50Y2H03+4s1UgAyqhoD54tEuVeY9Z8FGcuPWl7Xc9JpPq5qqF0VrWoDThlRiIe/MeepZBGxrAQ5De+vULC3eTfrrFgdxNMDhCwL87WAuHob12WqotLhv20w150uvpD/2dTTADRo2Wy1gjoZeRlRzRIEV41A+dGBbweLUjgQ4vIfv338Zjupsw5w2VMi0V4USwyb/+PMvi/Pg+tu1rin9e7VQX5ygd7Vtx5FqPhrmz44a0l59iYKfN2k92O5wy1LF80in9vUMt4FeO3xhgi9XjOdY4m9z+/rJathp1drdDNtj+YErp1eoQJkodSX1cwyPvX1prfLFz1iF0tm3hNtTgAIUoAAFQqeARwc4kLZvU1vGDLMsxGBv/Svjx9G/V3Pp072pxRPC3BLMMQmupgWwe/efysPHz6VA3iwycJi/7N57Uu49eKp6eapXKSZdfOurS8CHX3wI1ppxgEM1PBSGQLnx3ftOqZCFb+m795lsCGPGPYzoMVi5Zpfq2UqU8CcpkC+rCkTffxdLbt95JIVKtbQojmArwOED7a5NUyV/3iwqMA4c6q/K0mO+XOpUSaRerTKCQIPtEBoWLNliwooPrHu2zlA9dgi06PHAell///1eMqRPIV18vVUFTPQ2lq/eSd0netyyZ02jjlO/TnkpkC+LHDl2QRXG0Bo+QLvaS6P33BMljCc3L6xWv0qUuqKqGKjXMqZPIYd2zVbzx9CzCRctwHX0qStDB7aR3gOny8w5ayx2txbg7L2Hjga4KhULq4XDs+Wrb7d3EkP59myZIUePX5QyVSy/LME1uRLg0qdNJmeOLFLvWrb8DQy35kyAC4kqlObPAENd0dOG3uJbtx/JtRv3lC3eU/wtu/rlj9ZzpleFEr3Tr16/kztGcwf1AhwCICqzojJpu86j7b0+/D0FKEABClCAAh4i4PEBDs6Yj4R5SeYNRU2M54/oPRNtcWXz3/XoN0VmzP7yQT24mhbAcHwUncDiznqVHbXhVQhl2Qs0FAQ+NOP98b/HT1migpNeQ5g7fWiBGpJobQkAzOnBwsuYi2MeFnFMWwGuZdNqMnlsNxXeMD9Lb120mtVLysI5fqr8eoactU16NbAmWOUKRVTYqVGvp6poaN6wL46hNx/LXXPg0Dt4ZM9cq72Q2jVrwywDF22Sg4fPSaD/QJMhlBi6ihL7Hz9+ksoVCsvDR88F85vQzAMcQi/WLcuYPqXN99nRALfv4GlVyXLD5gNqiB+GE2K9Mb2GobA7N05VwbhsVf2KleE5wMEMIW7HhimCcI+GwiwY3mjN1N6/J1iqYP/2LwvDo4e3dKX2gmUAbDW9AGfvPPw9BShAAQpQgAKeKRAmAhzo27b0kvEjO1s8hTETF8ngEfoV/gb1baW+oTZv3fpMshiuGByP1ziABSzcJJhrZ63hQzQ+TGMeTqv2w9VmxvsfPnpeylWzDLHa8bQ1o2wNhcO2XtVKqB4FBEr0jKDSotasBTjMFbp8eoUKHj6dRlnMBzK+p42rxguGi3XvO9nQ+2T8gbVYuTaq502vIWCeP75EDQXDkFEEQa25K8CVLpFXhVwMbUuVuYbV53Xy4HwVZqvU6ipeVUtYBDhtRwzle3Bto+olSZq+ihpOqdcDd/HEUhW20mWvLU+e/qp7Xi3AoarldaP12LAxhvXly5PZUMQEP8ucMaWa34benMKlW+keV3vmBw6flYo1LP++cJzwGOAwhBbr97VoUlX9N54fenrHTVosM+eusagC6sy/H9oag9o+GAJcuWZn+f3Ff0OhMX+xV7fGcuTYRdm644iYBzj8Hl9sxYoVXfr5zXTm9NyWAhSgAAUoQIFQLhBmAhyc27TwUnOwzJteb9Lg/q2le6eGFtvamnsT1M/SOIAVLNlCVbmz1urXKSdzpvcTzJtCeEEz3r+SV2fZf+is7u74sPnbg51q3bJ6TfrJpq3/Ffkw3wHbYk0vDL/CnJ5Fy7YZNrEW4FCtb+u6SapIQ8JUFW1WxdPmhaGnEdUS0fp0b6LmEqEACeYC2mpYuBi9iAissNCauwJcyWK5ZdPqCWrooa3KpE0aVJKNWw6qD/UoVGPeA6ddt7ZG2OZth6Ru437qx3oBDu8q3ll8GEcxEL3m7DpwOMasKb2lkXdF1VuEOW7mc8q0+92z/5TJnCvj84enAIehvviSA8si4G8EDe/98tW7ZPzkxVaH1Bp7YX7pWytrtyF43bm8Tq5evyu5c2YUBGecE+8R/sa1Ly0wtHpJwFDBnFXMsTMPcJh/d+/qeokWNYokS1/V5t9kUP+7xuNRgAIUoAAFKBC8AmEqwIGqVbPqgmpsCCLGzXh4oVZa2/j36NVBSXB3lto2DmA/JCltsyBDrhwZ5ODOL8Mj4yUvpz4AGu+fOE0lq3O9tA/Y2DdT7rqqqqOtpgUB8yGZ1gKcNnwSvVK9BlhfkwrnTJ82uZpv+PjJL6o3CQ3BFAHVuHfR2dfeXQEOlQeP7QtQH9pj/1zCocIQtgLcgtmDpFaNUiYVLfUCHErZY+4dKgki7NsKcFjM/M7dJyaboPhJtixpTHrgsAE+6O/ePE3NJ9Sbb4XeJaw5hkqoXt49dc/rSoBDsZ3ThxeqYaQoha81Z+bAYZ04VFl1pQ0b6CO1vUrZLWKSOFE8KVE0lxQrkkv9vaEwyNc2W0WWUEwJSzx07D5OZk3po54J5kmiB/7+w2eqFxR/ZzMm9RJ8SaBVQtUbQokqvajWi+ULsIwBGwUoQAEKUIACYUMgzAU4PBYEikljulqEuInTvpS+14qCaI8Q4Q0fBOfO3+DWp6oFMCzwjG/JbTV8gMc382haZUVtf4Q5hDprDUMWMXQR94nqkZ8/f7Z5LvRiojcTPUjeTfsbtrUW4FAJFFUNnWm4lriJS6tiD3u3zlDD+0aNX6BK5LvS3BXgtMp+uMZk6auYDGuzdt3WAhyGTz68vkmiRo0syTNUMwRwa0VMsBg4Crkg8CD4mDdH58Bt2X7YZFeEFMzrw2LfLXyGqt4krWkVMzFMr3ZD/TL3rgQ4baHq3ftOSrU63Q3ncybAufKemO9jrQoletkG92uthq0atzdv3qkKrvgbsjbU19p1wQnvj7UAh/mVmPu2at0eWbV2t2AJCi1Uaz3XWuVQVJfEvwkYxoueaL0AVzB/Vtm1aZpaEL1Wg95BwcVjUIACFKAABSgQCgTCZICDa/PGVVW5fPOeOHNzBAl8iEOvhbubFsD+/vuD/Ji0jM3TowgJ5kGhab1oxlUof05R3ur+xr13GOJoXLZdbyetRwyVKjGnTWvWApw2BBLFVbQy8Y5Yrly7W8350ubFTZmxQvoMmu7IrhbbuCvARY4cSS0jgDlPji5RYC3AVatcTJYGDpV9B89I5ZpdDPdkLcBVKl9YVi4aodY5xHqH5s3VAIfjaEM5UYY+d+EmhiI02jWu37RfGjT/sgi5eTMPcAgp6FHF2oK79p4UbSFv42UEUIlz5JD2Mm3WSrVEhtacCXAILljU3JWGHkAsEWAtwOF3+HtDuD57/rq6D/zn3v0ncu/qBvU3hL8lZ9pwPx/p3N5bN8BhWDBCNKqXYj6iWvjdKMDhPPi7hCF+d3TvPDXkWuuNtVbE5Mrp5eo+8QWBvb97Z+6F21KAAhSgAAUoEHICYTbAgRTDh6aM6241xH0Jb+MEBURCohkPgcQ36RgaZa1p26JqIXquMITP0QCHdaqe3/uy4LS9uXbYZvfm6aokf//BM2XitP/mW1kLcLVqlJQFs/1UpbwkaSs7TYneUgx9tRUStIOihDpK86OEekgUMcF1oJcEhVfQa+vIkFtrAW79irGqGqRv1zFqIXetWQtwCI8Pb2xSSzMYl97X9vuaAKcFBAQv46Gz2rVjCB6G4uk1LcChNxVzGzFvTq2T1nm0Wi5CL8BpQwCxpAR6lbTmTIAL7mUEMKz0/oOnJhUgsczFo5ubgzzADRvUVo0M0O5J66HUG9aqLehuPLfXWoDTCjWZz2d1+o+UO1CAAhSgAAUoEGoEwnSAgzKKDUyb0MMixCG8YVFc4w+P7n4qxgGuaZvBhgWq9a6jX8/mgnXcsEZarkKN1SaOBjhse+P8XSh+SwAAIABJREFUKkmcKL7dYYr4th7f2qNHoGb9XiaLblsLcJhbhR4BtOz5G8itO4+sUmJJhJLFc8u16/dk7KQvizr7tq0to4d2kKfPfpMMOevIp0/6QzxjxPhWntzaIggy5r1f7uqBw/VqBXCwxlzDFvq9UsYAegFOW44AxVDS56hlMv/R1jpw2pw59NKYl6n/2gCH5QS865QV/3nrDHP7GtevKKiKaF4lFe9HvtyZpHjRXFK6RB5VcENr+CICwWO6/2r1TM0DHIaOXj61XA0nLF6+rZw6czVUBji9lzi4Ahx69eCC4bHwsxbgsPj5jfOrBX8LWEheG0prLcBpFV537jkhNer1cPc/cTwfBShAAQpQgALBIBDmAxzMMNkfH/C14ZQIb3qLSQeDr81DGgc4fBBDMEPPmnmLHj2aXD+3Sn6I+50YV8l0JsChhws9XRhGlSWPtypxr9e03jAMTStQooXJ9dhaB27ftpmSN3cmQ1U8vWNjGOjJA4GqB8249wqBBR/oMbfIvEfG+DhamMBQzcx56pmcQivYYD7sMzieqaOVKLVz6wW4xfOGSI2qxdWcP8z9M262AhwKb8z3HyR6w02/NsDpWWH5ARQFwpqIWBtRa7On9ZUGdf8btovKijt2HVOFaDDU0Pg9Rq8plsA4duKyqjSqhhH6+aihiUXKtFbBJU/OjGrhd/T85sqRXq2dp62LZ35djbwrqAIfwd0D584Ah161ew+eGpYvsRbgUODEr19r9cUKvmDRmrUAh3/zEA7jfB9TUmSsbnc9ueD4e+ExKUABClCAAhQIWoFwEeBAhgWgRw1pr/R6D5wua9bvDVpJF46mBTAURLh5+5HcuHlfWrYfLpgTp7X48eLKsvnDVJEPVG7MnMdbLf6M5kyAw5C2Y/vmSeaMqeTW7UdSw7uHYUFwHAu/h0/7Nl8qQ2JOFuZmGTdbAS5HtnRyaNdsFZKHjZ4noycsMvkQj/CJtehQWAHDHzGU841RKXX0LqKXEUUimvsME/NCG/nzZlZzglBmvUM3DHs1nbOo9VDi3rCWXHDO90HlRhSUifN9LLW4NRa5ttXMAxzWszt7dJF6zumy17KoHmorwKGX7MH1jfLb739K2my1TKpgagEO88rwPhm3Jg0qCuZC1mnU18LW1rVryxeYz7tDkBzUp5UqkIH/IHxp76Wt46HwBtbIw/uAZSSwH+ZAotLj6AkLZdjoALuVPcNigIML5vThyyU0vQCH9w5LfODfBPO/T1sLeWtzWs2H6rrwTxZ3oQAFKEABClAgFAiEmwAXCqwtLkELYJg7hGC2f/tM+fz5XzWP6PGTXyVLplRSIF9WFRSePf9drROGHgytORPgsE/qVInV2lEIcSgecursVTl/8aYkSvCTCohY1wrXgkIis+autbheWwEOG6MwxdCBbSRSpEgqJJ44fVkNB0ueNIGUK1NAMBcP8+TKVvGVa2YLTWONurnT+0n1KsXVh1gMq0MPDYZTZsqYSn3AR9ObE4SfY74SAiQa7gHnvX7zQbANGxsxuJ0aGmirOqMGaB7g0HM1flRnWbhki/Tsb7nsgq0Ah2NuXjNReZiHR1fWgbP3d6H1bJovbo+groUNe8fQfo9F0BEm4v0Ux2RZAixVMH/2IBXOsVxB87ZDbK6nZhzgGrfyc/T0JtthWDWGV1srYmLtoME1hNL8fHoBDiFvxcLhqgc7X7FmJrvYCnCoqLlo7mBWo3TpTeFOFKAABShAgdAnwAAXgs/EOMDFSVRKVaCbOr675M6ZQYUgNPTOHT52QVr4DDNUBnQ1wGE/DFcbO7yj1K1ZRs2j0Ro+jGPIWvsuo+XchZu6KvYCnBakUKAC4dO4YUhd4KJN4jd8js1hXCiXjrWw8EHZuKFgyYixgWoulrVlEBCUunduKKlTJlbrm2EYqPkH3aB63CmSJ5RLJ78UeMHQ1xu3Hlg9tN4QSjyHKJEjy6vXby3205aMePDwmWTMVdfi96hGieqI6zcdMOnl1AIcjFAt0bjV9iotWMPOmR44fHGgzbcqWbGdnDh12SU+BLbOvt4q4CP4oceuVfvhJj2P6dMmk9VLRgtcMc+zklcXq0V9tADn0sWY7eRqgMPfi62iQ3rXhi8wMEzY1jpw2n7WhlDCD2ENw4iNG3p1zx9fIqgimih1JZPfode2cYOKMn/RZi7oHRQvDY9BAQpQgAIUCGEBBrgQfADmAU67FPREFC6YXf58+Ur1kBkPqQyqy8UHQXzoy5QxpfogeunybZMhjXrncSTAafvhQ2OWzKkkfrwf1JBJBBxn7gNrk2XNnEZ94L9z95HcuffEoSF6QeXjyHEwFw1DCVFpERUXrTVbC3ljH8wNRC/ou7/fKyP0mPTu1kROnr4iJSr4OHIpapuvnQPXrFFl+S52LPnwzz+qwEjtGqUEFSYPHTkv5at3dPg6sCECdOUKhdVyAmVK5lXLLiB4Dx4xV1W51GsI7Vg0HIU37t57IhW9Osujx79YbKoFuE+fPpkUf3HmAhGg8SWJqwHOmXOZb/s1Ac74WAi7cb6PrYYdN21UWfUIX7pyRxX4YaMABShAAQpQIOwKMMCF4LO1FuBC8JJsnhofxNevGKeGKKLHMLy3RAnjyfljiyVSpIiqeqa1Hhl7Ac67dlmZO+O/BdM1135+M2XS9P+WcbDnjZ5PDK1s0nqwCn/GDUNU0eP39t3fVqt8+k/tI6gSatwwl9DLu6ccP+lc71vArAGqlxcNC82vXr9XZgesU19I2Gr48mLzmglqvp7xOmfG+4SGOXDoOU2f/ct8UUfbgN4tBD3MQRXgWjatJpPHdjM5vSPHdvR6uR0FKEABClCAAqFTgAEuBJ+LpwU4bd4Xekey5PUOQbnQc2r0lPXv1Vz1KmGRZb2G4Iv1uPbsP6W7DZZu6NO9qWHX9+8/yM49x2XvgTNWh4sGh0C6NMlUFUhUPUXPJ+ZhHjh0xuZ8NGvXgXAbMLO/rFizS1au2W23d9f4OOi9XTRvsFqHUK8SJXr2BvZpKbv3nZS+g2a4RNGtYwOpWK6gWudw87bDDh8jZoxvZdG8IfLu3d9WFza3djBUw8Ucz+WrdioXWw1FgXCPBw+fNVmL0Xgf9KDj3UN79/cHNTQV1SnxBQsbBShAAQpQgAJhV4ABLgSfrScEOAzTQoGQooWyS71aZdUcHqydh3L/bBSgAAUoQAEKUIACFKCAewUY4NzrbXI2Twhw2jpg2oVfuXZXKtboJL+/0F9HLgQ5eWoKUIACFKAABShAAQqEeQEGuBB8xClTJJIWTaqqOUnWht+F4OWpU2N5gaqVisiLF3+psvwYoqW32HhIXyfPTwEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABcenjLvkQIUoAAFKEABClCAAhQIEwIMcGHiMfImKEABClCAAhSgAAUoQIHwIMAAFx6eMu+RAhSgAAUoQAEKUIACFAgTAgxwYeIx8iYoQAEKUIACFKAABShAgfAgwAAXHp4y75ECFKAABShAAQpQgAIUCBMCDHBh4jHyJihAAQpQgAIUoAAFKECB8CDAABdCT7lwwWwyc1JviR07hgwfEyizA9YF6ZW0bl5D+vVsJq9evRWfzqPk8NELQXp8HowCFKAABShAAQpQgAIUcL8AA5z7zdUZL59aLimSJzScfcjIuTJ6wsIguZpeXRvLwD4tDce6e++JZMnrHSTH5kEoQAEKUIACFKAABShAgZATYIALIfv71zbKTz9+b3L2oaPmyajxC77qinp3ayIDercwOcZvv7+U5BmqftVxuTMFKEABClCAAhSgAAUoEPICDHAh9AyaN64iU8f3sDj78DEBMmLsfJeuqm+PptKvZ3OLfTt0GysBCze5dExHdoofL660bFpdsmdNK0mTxJd//vkojx7/IidPX5V5CzbI6zfvTA6TNMnPUsertNpuyswVEitmdOns6y3Fi+SUqFGjyNXr96Rzzwny7t17w374ee0apSRHtrSSI1s6iRIlstx/8EzOX7wpcwLXy1+v3jhyqdyGAhSgAAUoQAEKUIACHi3AABeCj6+DTx0ZNcRXJ8QFyoixgU5dWd8ezdScN/PWe+A0mTpzpVPHcmbjxvUryqQxXVXw0msIVnUb9ZVDR88bfo2gtmXtJBXsUmaqLgd3zpYM6ZKbhrx0VeTFH3+pnyHwLZs/TAVEa+fo1GO8rFq7x5lL57YUoAAFKEABClCAAhTwOAEGuBB+ZO3b1JYxwzpYXMXIcfNl2OgAh66uf6/m0qd7U4tte/afKtP9Vzl0DFc2QhDbtHqCfPPNN7J89U7ZuOWQHDtxUT5//lcyZ0wlvbo1lmKFc8off76SfMWaydNnv6nTGAe4zdsOi3ftsnLi1GXZve+UfPr0SVKlTCzd+0xWAS9t6qSyZ+sMiRsntly/eV8Gj5grp89ek7//fi8Z0qeQLr7eUrFcIdWbV756J3UcNgpQgAIUoAAFKEABCoRVAQa4UPBk27WuJWOHd7S4EhQ1QXETWw3FSlC0xLz16DdFZsxeHax3N3F0F0G1y70HTkuVWl0tzoVhjkf2zJWM6VNI30EzZPKM5SYBTtth/JQlMnCov+61rlg4XCpXKCLHT16SGvV6yqvXby22WzjHT2pWLyknT1+REhV8gvWeeXAKUIACFKAABShAAQqEpAADXEjqG527bUsvGT+ys8XVjJm4SAaPmKN7lYP6tpKeXRpZ/K5bn0kya+7aYL+zgFkDpG7NMrJ91zGpWb+X7vmqVioq+M+FSzcNQzm1HjjscPjoeSlXzTK84nd5cmWU/dtnqeMWK9dG9bzptTSpksj540vkf//7nxqS+etvfwb7vfMEFKAABShAAQpQgAIUCAkBBriQULdyzjYtvGTCKMsQN27yYhk0bLbJXoP7t5bunRpaHKlr70niPy/4wxtO3LBeBfGf2kddA86JsPn8lxd2RY0DXCWvzrL/0Fndffp0byL9e7WQM+euSdGybWwet0rFIqqwCQLhL7/+YfcauAEFKEABClCAAhSgAAU8UYABLpQ9tVbNqguGJkaIEMHkyoyHGQ4Z0Ea6dWxg8nv0PnXpNVFVZHRnw/w9zOND+/fff+XEqSuyc89x1St38fJt3UsxDnCJ01SSP1++1t1uzvR+Ur9OOVm6coe0aj/cnbfFc1GAAhSgAAUoQAEKUCBUCjDAhcLH0rJpNVXZ0TzETZy2VF1tF9/6FuENZffnzt8QIndTMH9WadvCS8qUyiexY8UwXMOz57/L4uXb1Fw842GNWoB7+/ZviZe8nNVr3rt1huTLk1mtjYc18tgoQAEKUIACFKAABSgQ3gUY4ELpG9C8cVWZMq6bRYgzv1z0vHXsPl4CFm4M8TuJFCmiFMibRUoWzyNlS+UzlP3HkMYK1TvJjVsP1DUaV6H8OUV5q9e9cdV4KVU8j0yZsUL6DJoe4vfHC6AABShAAQpQgAIUoEBICzDAhfQTsHF+LPY9ZVx3qyHuS3gbF6yLdH8NT9bMqWXBHD+1FMCdu48la74vPYeOBjj0QmJI6fpN+6VB84E2LwULfEeLFlWdh0VMvuapcV8KUIACFKAABShAgdAswAAXmp+OiDRtWFmmTehhEeIQ3ny7jpX5izeHyB2gt00Ll1jqAMMl9Vr+vJllz5YZ6leZcteV+w+eORzgfNvWltFDO6j14zLkrCOfPn3WPUeMGN/Kk1tbJHLkSJK/eDO5dOVOiJjwpBSgAAUoQAEKUIACFAhuAQa44BYOguM3aVBJpk/saQhxCG/tu4yRBUu2BMHRXT/E0b3zJFuWNIL5d9aKp2gl/nEWhLCHj547HOB++vF7uXxqucSMGV3dr7Ww2rh+RZk5ubfcu/9UMuep5/oNcU8KUIACFKAABShAAQqEcgEGuFD+gLTLw0LVo4a0V/+z98Dpsmb93hC/8r49mkq/ns3VkMWiZVvLo8e/mFxTxIgRZd6M/lLbq5S8+OMvSZquivq9o0Mosa12jjdv3klzn2GyZfthk3Ogh2/d8rGqeEqHbhhOGvJzAUP8wfACKEABClCAAhSgAAXCrAADXJh9tMF/YxhGuXPjVFUp8sOHf9TSAXfvP1FDHRP8/KOUKZlP4seLqy6kcSs/Q+h0JsB9+21UmTu9n1SvUlwt1H3qzFU5e/66OkemjKmkRNFc6vjLV++UFj7Dgv+meQYKUIACFKAABShAAQqEoAADXAjih4VTx/k+lnTt2EDaNK8hmItm3s5duCFYiHz9pgOGXzkT4LSdfFrVlL49mkncOLFNToHevxFjA1Uhl8+f9efIhQVn3gMFKEABClCAAhSgAAUgwADH9yBIBBDeUqdMLEkSxxf0mqGoyeMnv6qiJUHZEieKJ1kzp1HzAe/cfSR37j2Rjx8/BeUpeCwKUIACFKAABShAAQqEWgEGuFD7aHhhFKAABShAAQpQgAIUoAAFTAUY4PhGUIACFKAABShAAQpQgAIU8BABBjgPeVC8TApQgAIUoAAFKEABClCAAgxwfAcoQAEKUIACFKAABShAAQp4iAADnIc8KF4mBShAAQpQgAIUoAAFKEABBji+AxSgAAUoQAEKUIACFKAABTxEgAHOQx4UL5MCFKAABShAAQpQgAIUoAADHN8BClCAAhSgAAUoQAEKUIACHiLAAOchD4qXSQEKUIACFKAABShAAQpQgAGO7wAFKEABClCAAhSgAAUoQAEPEWCA85AHxcukAAUoQAEKUIACFKAABSjAAMd3gAIUoAAFKEABClCAAhSggIcIMMB5yIPiZVKAAhSgAAUoQAEKUIACFGCA4ztAAQpQgAIUoAAFKEABClDAQwQY4DzkQfEyKUABClCAAhSgAAUoQAEKMMDxHaAABShAAQpQgAIUoAAFKOAhAgxwHvKgeJkUoAAFKEABClCAAhSgAAUY4PgOUIACFKAABShAAQpQgAIU8BABBjgPeVC8TApQgAIUoAAFKEABClCAAgxwfAcoQAEKUIACFKAABShAAQp4iAADnIc8KF4mBShAAQpQgAIUoAAFKEABBji+AxSgAAUoQAEKUIACFKAABTxEgAHOQx4UL5MCFKAABShAAQpQgAIUoAADHN8BClCAAhSgAAUoQAEKUIACHiLAAOchD4qXSQEKUIACFKAABShAAQpQgAGO7wAFKEABClCAAhSgAAUoQAEPEWCA85AHxcukAAUoQAEKUIACFKAABSjAAMd3gAIUoAAFKEABClCAAhSggIcIMMB5yIPiZVKAAhSgAAUoQAEKUIACFGCA4ztAAQpQgAIUoAAFKEABClDAQwQY4DzkQfEyKUABClCAAhSgAAUoQAEKMMDxHaAABShAAQpQgAIUoAAFKOAhAgxwHvKgeJkUoAAFKEABClCAAhSgAAUY4PgOUIACFKAABShAAQpQgAIU8BABBjgPeVC8TApQgAIUoAAFKEABClCAAgxwfAcoQAEKUIACFKAABShAAQp4iAADnIc8KF4mBShAAQpQgAIUoAAFKEABBji+AxSgAAUoQAEKUIACFKAABTxEgAHOQx4UL5MCFKAABShAAQpQgAIUoAADHN8BClCAAhSgAAUoQAEKUIACHiLAAOchD4qXSQEKUIACFKAABShAAQpQgAGO7wAFKEABClCAAhSgAAUoQAEPEWCA85AHxcukAAUoQAEKUIACFKAABSjAAMd3gAIUCDaBaNGiSJJE8eXtu/fy9NlvVs/zzTffyL///uvwdUSIEEH+97//Obw9N6RAcAnwXQwu2a87bsIEP0mM6NHk0ZNf5P37f77uYNybAhSgQCgTYIALZQ+El0OBsCQwaUxXadWsuvTzmymTpi/TvbXIkSPJuaOL5f2Hf6R2w95y7/5TmwQVyhaQQP9BsmL1TunUY4JHcWXLkkYa168ofQbNkH/++Wjz2mPG+FZOHVogJ05dkVa+w+Xjx08O32uUKJHl8O458vDRc/Fu2t/qvtGjR5MT+wPl4ePnUqVWN6dCtN7FjB7qKwg0E6Yulee/vDDZ5OzRRRLvp7hSvHwbuX3nsaRKmVjKlsonM+escfi+QtOGyZMlkOGDfCRXjgxSqFRLefHHX0F6eREjRpSDO/1l265jMnHqUnn79m/d40eIIDJjUm/JmD6F+HYdI5eu3AnS6/DUg3Xx9ZZhg3xk7KTF4jd8tqfeBq+bAhSggK4AAxxfDApQIFgEsmRKJUf2zFW9b2mz1pTXb97pnsenVU0ZN6KTXL1+T/IUaWL3WnZvni4F8mWRPgOny5SZK+xuH1o2QKg6d3SRJE+WUMZNXiyDhtn+UNmyaTWZPLabbNxyUIUwZ1qhAtlk58apcu7CDSlcupXVXSuULSirl4ySE6cuS8mK7Zw5hcW2cePElpsX1si330aVEhV85OTpKybbXD+3SpIkji95izaVK9fuytG98wSBdsbs1dKj3xSb547zfSwpkC+r3es7c+6aZMmUWtq08LK7rbbBjt3HZO78DQ5vr22ILx7wfmfKkFLWbtgnjVoOcvoYtnaoUrGILF8wXH759Q9Jn6O2IfAjOD5+8qt8+vRZ7Y7AvHfrDMmTK6OUqeIrx05ccuo68AwqVyji1D7WNt6644h652y1NKmTyILZfi6f7+PHj1KsXFu7+8eOFUNuXFgtEUQkY6668sefr+zuww0oQAEKeIoAA5ynPCleJwU8TGD7+ilSpFB2mThtqfQfPEv36tHLdPn0Cvnpx+/l/fsP8vqNfi8Ddk6T1Uty58wgCHCOtNETFsqQkXMd2dRt2xQtlEO2rpukerpKVGgnCBzW2vH9gYIQXLx8Wzl15qpT19i7WxMZ0LuFjBw3X4aNDrC674RRnVXYGTV+gQwdNc+pc5hv3L1TQxncv7XVMHjxxFLV61awZAu5cOmWpE6VWDavnqhC3fLVO6Vlu+FWh8UisDvy3Os06ivx48WRqeN7OHwvA4f6y/gpSxze3njDHNnSyf7tMyVSpEhSo14P2bnnhEvHMd8JoWzT6glSomguGTY6UEaOC1SbpEyRSC6dXKZ6N1NlrqF+9rUBrnH9CjJzcp+vvm6MaO7UY7zMW2A7DGfNnFqO7bP+Ttq7EPw78UOSMvY2U8Ft6KC20sW3Pnvh7GpxAwpQwNMEGOA87YnxekOdAHpW7A2HCw0XnTd3JvWNPsJS6cq+6oN2cDV8sMUQPrjg2+9nz3+3OBU+eC5fMEx9+//7i5fy55+vJWGCHyVGjG8N/9t4p2Ll2sjuLdPVUDH01r18+VpSp0oi8X6KI0+e/ioPHj43OcfSldslcNHm4LpFl487fmQnaduyply/eV8KlGih++6ULJZbfYA/fPS8lKvW0elzbV4zUX341+sJMz4YwgBCQflqHeXQ0fNOn0fbIVKkiHLt7ErBvCP0FqLX0LydPrxQMqRLLkXKtJaz56+rXydKGE+2rp2oniM++HfsPl73GtKkSiJ9ezQz/K5S+ULqPUHPl9YThV+iRxbDRpMm+dnuvfTq2ljQy9WwxUBZt3G/3e2tbTCobyvp2aWR3d5OZ06QPm1yOXNkofpSI0POOvLrb3+q3Zs3rixTx/eUzdsOSd3G/dTPgirAYejlspU7nLlMw7Ze1YpLrhwZHQpw2jU7e6If4n4nD65vVCaOBDgcH+/jldPL5cOHf9gL5yw4t6cABUK1AANcqH48vLjQLIDeIHxwe/rsd+ncM3TPxartVUr8p/SRqFGjKNJSldrJ8ZPBF+BmTu6t5notWrZV2nYcpfsYRw3xlQ4+ddQQMQzzQ5GTyhUKy4qFI1S4wbwi4+IDMyb1kiZUynPAAAAgAElEQVQNKsnFy7elaNnWal4XemZ2bZqm9s1duIm8ev02NL8y6tq0eWcITnq9k/hAjqF5GNrm5d1Tduw+7tA9IURh3lTkSBHl3tUN8uGfj5I2W035/Pm/4jAI1FrxF603592795IoTaWv+hKijldpCfQfKHfvPZGs+err9qQh0CPYm797yZImkAM7/NUXC7Ub9hEMw7PVYsWMLk9ub1GBPUteb4ds9DZCT2ixwjkNPYLG2+BLmcSJ4jl07KhRIsuGleNUGG3fZYwcPHLOof0wDFLvix/MaRs/8kvP6MKlW8Sn0+j/D2oigbMGSa0apaT/4P/mlAZVgFuzfq80buX80EZcL3o8mzas4nCAcwjIbCMM0X10c7NTAQ7Xhn+LGnlXZC+cK+jchwIUCLUCDHCh9tGE7gsrXDCbzJzUW2LHjiHDxwTK7IB1QXrBrZvXkH49m8mrV2/Fp/MoOXz0QpAePygONn1iT2nasLIELNwoHbqNC4pDBvkxypXOL5hjVqZkPhV4MG8nuAMc5p7cvbJezYXS5juZ3xgKP2DoGcJFRa/OcvT4RcMmAbMGSN2aZWRO4HpDMM6eNa0c2jVbfeBF2Lt2475he61Ha8n/sXcWYFJVbRx/FZUQRAWlG5EUJKS7u5ula4mlGxZ2WXKJhSWWXrq7u7u7G0H9RFEQUFG/53/Wu07cmbkzOxvD/t/n+Z4PmRvn/s6d4fzPW8u3SfsuI93OMCIXhKiK969oNr0OctR8OjVU350LF2+a3QILdLxbN249kBLl21uJIRR7MfU6aScjlw05bfYMIYabtx1Sh3TpWF/GDO9q6PFOnbliN+8IxTYwpz36TbT5W6AJploNe8vOPSfM7gvvcJWKRWTYiFkOx1OlYlFZuWiUw+8d3ouc2TOpgjGax8/04rcurpEUyZNK8gyVrPIz8+bJqt63yDRTT6TpffD9uXFhtSC8uHDp1uFFSSDUbl9aqzzOZat2Dvege6KAwyYGvKrOWOKPEsrWdZOcEnC4Pt6B4/vnyfPnv0mW3PU8YpPHGS48lgRIIHYSoICLnfMe4ae+dHKZZEifMvw6yDVCzpE7DKFNvgPahl8Ku/oR2Wl3x5j0rhHTBdyKhSOlaqViauhgCCG8fX2w+u/I9MDhnrj3w0ffq+ILtgzemEwZU8mqtXvMDkHBCnhzNm87rEScZvB4ZkyfSlas2WV2PELpEBq6Z99JmTRteYQrKbrzfUEFTlTidKd16j5G5i/ebHVJTcAhPwohY6aWNMnHKuRQE3AQ1wifhICBB85WS4Y4cd6VePHiqhw85OLpWY2qJWRpaIAqEgGP36tXv+sehzkyErIIDxs8YLaqOgaO8JFO7eupoiEIobRlWngofjvw/psaxNH397bL/358Jumz1bC6RM7sGWXFwlFmf58q5Wcq1w3hunoCWm8cYJfs80/VxoNlGHEDrwFy6cods9OQtzVscHtBPuG+g6elap0e4Z8j/BRhqDDMr+mcwbMOIYf76LXj2LD5kLTq6KeLSsuBi0oPnNGcRr0BOxNCifPB5drZFcpDirBTbQPDnd9JXosESIAEopoABVxUE39L7nfv6gYV8mRqKIKAYggRMa34guk1bC2yInIfd5wb0wUcij6gCAY8U/BsYCHz+PYW9eiRKeC0BfaiZVulQ1fzRbAldyyksRh3p61ev1du33nkzku6fK1mjSqL/5AOds/HvMCrAkOuk6P+dv2HTLESsThXE3CVa3WzCuPTvJqagOvTvZkMG2S74Ig2YC2XERUlkU9naVgUw7sB0e2okmXI5LBQtl4DguTAobOSLm1yQfhkujQp1J+Rt4YKnbjWgiVbxLubfugtWitAzKTLWsOmyEP/wf/d36FCcD9PX9GK6de5s8ihXbMdjtn0ebXxd/QZJQuXbjX0Tgwb1E76dPdSrRJ6D5zk8Bx4ZretmyTvvPuuDPWfIeODw4qrIBRw5LDOymuL98PyHUEfRZjeZ/j7dRv326ySGR0CDpU0u3Ro4JCH6QEQqa2bV3faAwd2M4IHStOGlSR4+grp7zvFqfvyYBIgARKIiQQo4GLirHjAmPAPqV6ltxFj58rIwFCXnmBgn5YyqG9rq3O79gqUuQs2unRNIydhh7xty1qCML20aZKpXWx4j06cuqIKK5iWv0foaKECudRla1YrIQi1QiXBDZsPht9q/uJNamff1HCPWtVLSd48X6oy5/CSoBIfzt20NSykzdIa16+gdo03bjko12/eVzlRKG5RrEgeJZ5Rrvv02WtqMa/XqBb90g4fvRAeMoQQpKgQcFjQI2wJ4YwQj/YMHiCEsrnT6jXtL1t3HHHnJSP1WhAbTx+GeRWTpCnnctNhowLu6PELcunUMkGoHsL47JV9h9cT+Wl64gyiAWIDogOmHYOwUSXG0qZQggyL9QzpUqp8Rcy3I8N3B0U6uvQMtDoU3yOE5yIPEuGFtgzfFbQpQOgkntHStJy9pStR/TLA0ZDU51r1RORn5iva3OE58CKirULSJInl68LN5Obth3bPwffz2L65ih1a1Pv6hciEKUvUOXjuy6eWS9y476vnOXfhRvi13BVCCc/Wz8+eO3wuvQMw9vjx48W4HDhtrJpIxW8uqqDSSIAESMDTCVDAefoMRuP4UYAChSgsDXk9IwPDyl4bNVSYQ86bpWG3FLumkWUotIEQN624h+V9fvn1hTT0GhheoU/bUbc3nkKlWpk108XCdeFsP5uLVwg0LCJfWDTqRXGOIoW+UjvnWKSFzvAVbafd9P5YgMOzgkIe9iwqBBw4Pn24U403bxEvJTztGUL5alUr6XB68X6g6AZ6pyGETc/gvUU1Q08TcB8nTijf3tqiQt8SpyjjcgioUQFXvEgeVTwmdNEmVXTDniE3be/W6aq3WLlqnc0OtfzOagJu7bJA1aDbliFkE/l9qBZ57/4TuffgiTx4+ET9+f7D71RIpy2DR3NG8ACZMWeNDBk+w+ww5HhqRUGQQwmvoy1PHjaKsGHk7IbT9vWT1QaKkXcMGzCzpw2W3ftOSo36vexyhpcIxzaqV0EdZyrg8NmIYZ2kW6dGohfm6C4B9+bNG5c3D7AJESfOezFWwKFyLTy3+I6hgqUnVA12+KPIA0iABGI1AQq4WD39EX/4zh3qy9gA60IIjvpPmd55cL/WMqB3S6vB9B0cLFNnrIz4IG1coVTxvKpUO0QR+lDBiwbvBAprwIPUr1dzVaUOuT0FS7ZSAgketzxffaGu2KRBJeVVOHz0vDpfM5Qk13ayUXBhybzhqnjI+k37JThkhVy5elcSJ06oPH7om5Ulc1pVlAOVFU0Xr5qAgxcLHgMskAODFgkKSiRIEF/1RPMf3EHQGBeVHFFmH55DWxYVAg4ewxvnV6khpMpcRZ798sIt87dvW4hqVGyrKApuojX4NrK4dsug3HQRbXGJOcyYo5bLVzUq4KpXKSbIW8tdsImVp9jy5oW+ySm7N09TRWbQJFozeN22rg1SVS9XrN4lDeqGvZ9oBo53GnmQ9+4/lvsPwgQaxBnCeSGcXM+1ekctwhE+qWcopIQiKjBto6XfkGCZEmL9GzJ/Zlg1xzbew2XZqp2GmWvNtS156F1Ae2eNVNZEldjQGUNVoSFwLFokT7gHDuG18L598MF7qtKqpSfPXQLO9XlxXIUSY0ROIXIqXTX8hiICASLMsggOQkfxvbcVfowWBA+ub1Sfo5CJo80uV8fI80iABEggqghQwEUV6bf4PshhQt6TpRlppIxiJShaYml9Bk2WaTPDhEBk2cQxPQTVLvfsPyXV61kXmkAIFMq5Y4E9cOg0mTRtmdlQHOXAwRt17ugiFRI1btIi5T2yNNwDCz2EfA3wnar6WGmmCTj8N0qrN23ta7VzjNLaG1aOV+XZ7ZXsxzWiQsBBlIIZdvPhTXKXRVTAYdFvtCy8q2N+8PB7hx5HvWuXL/ONrFs+ToXFoXWCq2ZUwO09cEpVJcWGAryaeC9shVFCqO3YEKw2KSrUCNuowYbH1TPLJXWqZKqKJsIUVy8Z4zCfTLuWq8+piRyMAe0itDxHFD2B59VUwGkFfPC9xvfb0tBIGiGRzjZJx7NfOrlU5e7Z67Gn5Q5CwObI38huXiN+A+5eWSeJP0okPr0DJU3q5NKnh1e4gIMXdPfmqbJgyVbp3COspYCpeYqAe/Z4tyoCExkGYfZR8tI2vddghPtjwwHfMYRS0kiABEjAkwlQwHny7MWgsXdsW0f1LrK0sRMXit9I/dLgWgNcy3NQ5CBktnvzovRQaYUdtu08KnWb9NOlCU8F/nf+4g2rUE5HAq6XT1NVwAILzfzFW9gM2ylYIKfs2TJNValD02stvEcTcBBDOQs0tuldg5cQJdr/+usvyVvUS27d1i/gERUCrlzpb1RPLOT4ZcpZ29AbCkYQ0vbswwTxlHCAh/Kvv//ra2Z6ToL4cdUCTc8DFzy+t7Rubl1t0NAADR5ktFCF5eXQ2w497pC3h7G7apqACwxaKNdM2izgeuCL98y0jQAqLSK/7dfnL1VrBr3Q1BJFv1al2/cfOiNVav/3/T62b55cvnpb2ngHSKXyhQ0JOAjo6+dWqZxSlO53xjD3aGwNbzUMvfHQIw8GT/rmNUFmAu7C8SWSKWNqVXEQz2dpdWqUUmHTCF/WQpeRa2urgqbp+T7eDWWUf2dBYReIWnjNLA2CFlzQr23ilKV2HxXi4sSBUNm7/7T0HTxZ8LtoKuBwco8ujWXl2t2C3nGW5gkCDmM2kv+I47JmSSdoRH/r9kOpVKubLjs8c5JPP5Ifn/4S/rlllU/TE3E8cm1VLnLDPrJrr3kbC2feRR5LAiRAAjGBAAVcTJiFt2QMaDw7YbS1iNPzPiHMCqWyLa1n/yCV3xIVpuXT4F64J8QmhIdRcyTg4LmA1yFo6lIZNGy63cuiQS28aRVrdg3veacJOCxCsfC2Z1pbB5/e41XhFT2LCgGHECeEpTpTOVTjhFBVy/L32nOgDD5CqHBdCFp7hsqXyDsyNYT6YkEdmQYxoPVD1EqXG7lfwoQJ5OPEiZQ4/enn/xakjs7N+nUDM8+Os33gcH2tsiI8cMhxsyyGo82nZR4XQoOxCMZmg1EBByZP7mwVeMwQKoqQUaOm5ZNh/lHAx56A0ypQ6uWL2rsfqlX+ZpGHqnc83kN8NxHSq5djp/0OIv8T3h4johD9GhEWiPBAPQFnb9yeIuC0Z6hZraRkyZRGAict0n0srW+bvWIxyF9s5VVd/S7aK8Kj3QCM7l1dLwilhFd274HTRl89HkcCJEACMZIABVyMnBbPHRT6XiE0Ef9gmtr4yYvF99+iA/C4wDtlagiBQf6Kad+vqKCA/D0s7mFYPB0/eVl27D4m8Mqh0p09cyTg7l5Zr8rDh8xeLUdPXLR7LeQAZs2SXpVOx6IQpgk4U3a2LrJm6VjBIhBhngj31LOoEHBapT6wREiTo5L4eE++u7NVIGLyFGpqs1KfkRDKqHhfjN4D4uH59/uMHu7ScYmSlTILGdMEHBrL375j3vcMOWoI0zX1wOGm8ELt2jRF5XYijxMeNVPDO4V3y1QwWQ7WqIDDefDmwasHbx68ekbt7NFFkjljatWWYtbUQXYFHEIS832d1eilZV6Ir6RJnUw+TV3O5gaC5cXgTUKoMDw6puHeObJlFDQ1x/wjJ9XRb4jeIPUEHLzstgw/teNHd5cvv0ivPHiXLXrLaedhc+Di5dtWl9EqNCJMW8shNAwPLQ5EZLivt8op7NbH9gYSromNGHhS8f94p9p1HmHVCsKRgGvasKLMnDJIzVXD5gOt8uH0xg7PPEIo8XuDIlOW/feceV4eSwIkQAIxgQAFXEyYhbdsDG1b1lSVHS1F3MR/S2L36NLE7ImxyO/ed4LMDtX3HEU2HlR67NimjpQvW1CVVtcMITnoZYZcPPTnsjR7Ag5ehu/u2i+hr/dcpiGnmoDDokrz7NhigZYOaO0AL1CjFoN0D4sKAWfaFiBd1upmIU56g/ryi3Ry5shC5Y2xV8DD0wQcnhUeVUeWLWsGlWMGTxZC8VCCH14bI94peCxNzWgOnGUjY4Q2QoxgUW1Z1AOetpWLRqkcTBTj0DNnBNyQ/m0E1UKNeKVN74VNIfCBOD19eKHDEEpH3E0/P39sscqhw4YDwpCNGrzrW9ZMVL9zqDJ59MQlObRrlsqZtVU8xci1LQUcxMev39luWG7kmjjGVqi4JuCMXsfWcf/8Iw4FHM5Fz78Fs4ZJ/rzZVZhkjQa9VbEbzbQw7Ge/PFehvXfvPQ7/rHaNkjIvBFV5RVq091P97YyY1n4C/9ZkzlXHqUgLI9fnMSRAAiQQ1QQo4KKaeCy5H/KNJo/rZSXiLB8f/6Ai7A8Ls+g2LJ4Lf5NLypQqoMqgoyAHDItpNEe2LIlvT8BhB/6nR7tU2N+UkBWqyqQRQ4U5FIyAaQJuiH+ITAgO6wdly7R8viUrtqtdbT2LCgGH50UbASw6Ldsp6I1JC41DUYFJU82LxJgej0qlKLgBL65eHpDlteHdcSYc1sjcRMYxc6aHlY6fHbpOVS5F02f8uVufCU7fzlUBhxshz3NpaIBg0YxKh1o+EcLdUEV13cZ9qoiOnjkj4OChQr4XFu65C5l74e09MDZWkPuYJtXnbhdwl08tU/3qPvyshNPMtQJOENP7DpyWOjVLy47dx6V2oz5OX0s7wVLA4bdk4exhdq9XolhetWFw4PBZ+ekn/TDcc+dv6IYtagIOv3OXrlh76Iw8CIoEpUj+mSEBh+u9/34cmTyuj6CNCypCorcdvq+N65dXf58gQTx124ePvpMKNXzkh//9pFrWIMLjjz/eSJeeYx32mDQdt1ZU5s8//5QkaSo4JdSNPD+PIQESIIGoJkABF9XEY9H94BGaPK63TREXJt7GRWqT7ojgRjjg/FnDVOEEFCL5qqC559BRCCXCvnCuq0VZNAEHcdu11zi7j6IdO3z0HBk9fn60CTjcWPOWwavqKCQW1UuxCHa3VavbI8bnuaDBNYptvHnzlypS8/LlK7lyZoWgYMs3JVo5XdEyIgIO/BGa2KRBRTEN2TXS8NoZAYf7oBUAvFT5inrJtRv2+wRavhcocOHIA4dwUCOGDRnkvN28sFrlIH6WLqwHm7OmiXCcB099wZItdT32Rq/7tufAaRy0/nbvxXlPBvtPkzHDu6piOyhygwgG9OCEdxOCFIVmEFqJ0Md2nQOcDk3VimwdO3FRylY172dodF54HAmQAAnEJAIUcDFpNt7CsbRsVk2mTOhjJeIg3rr0DFTNhKPD4G3TxKX/qNnhHgfLsWh9sPD3OfI3VP2sNHMk4LRS5ivX7JaWHfxsPiYaOQeO7KZ6JI0KDA3PA9NEGRaa+Yo2t5lPBu/EjQur1aIHTb/XrNcPt4oKDxweUitQg354zdroe200GMixQjl6PStWOLfqL4bCFa9f/67ylCBOHz/50SZLVOvLkD6lWTGY6Hi/jNxz8Vx/qVW9lMqR7DVgkjpFq1yKJtfou2bE26jdK6ICDu9H4wYVZMacteHvGjwk0yf1V5ssqNKoZ84KOLQNQfsQW21GMmdKLXlzZ5UVa3ZZ3c6RgOs9cLLhcMOyVTvJsROXVGEVCDmE1jlr+O4FBfYUNA6HoWDJkOEhgoqkrlpsEXAaH4TwLprjr4rCwIuJMHJU1UURE+RkIgcTIZAopIMqrc424YYIXDTHT33XxkxYKP6j9KsiuzpfPI8ESIAEooMABVx0UI9l90SZdIgdLScO4q1zj7Eyf/HmaCVxZM8cVdjBnqfoi0xp5NyxxWqc2fI2ECysNdPyzvQq0eEYhGGuXRaownXQCNxWGKUmBBG29mWe+uHhPaZ94Ow1HO7ZtYkM9+2oQpHQc8rWAieqBJwrlSgtXwSEos2eOkgJCZQSh6fOUSNvXOPgzpmqIEexcm3l7Pkb0fp+2bu51oMQC/6cBRqZhXuiqAaE65273yoRZzQUNKICTm+88IhgrMgDRbEOdwg4zfOIZ8/1TWMrbxXmfuFsPxk2YqZqXG9qjgQcqthi48SIDfYLkRu3HijBd/3mA8lfzLofpb3roLDIzCkD1AbEo2+/lwOHzykPJgxVDlFwRa81g6OxxSYBV7VSUZk6sZ+qLIp2CwiRhnf2+P55SsBh4wobMhtWjFch1HPmb5SBQ6eEt35wxBKfswKlEUo8hgRIwNMIUMB52ox56Hjr1iojo/3DQlf6+06V1ev2RPuToBT1oL6t1QKyRIX2Vn3WkMc1Z9pgQQPhpz/9Imm/rG42ZpyLa9y89VBVnEPIj6WhAAQKQUC8ebXxtRJxps2JUcHNtJCLJuCQlwLvk1eboVbl8Vt5VZMJo3sIKu9Znm85lqgScKhsePvSWvnk40SqT5aW02dkwrGQCxzRTTFHKFWLdsNUwQqjRUy0/l+WYtvIvaPiGHhbIdjhDUBRDhScQXEJU0MeIbwOEMIPH32vNjss2yLojVUTcMi5vHHrodkhLZpWkXxfZ7OqQunomdHqAx7VkYGhMmLsXN3DnfXA4SLIZ+rq3UC1vEAOrKlpHrrm7YZZ/U5oAg7NuZu3HapOK1YkjyybP8KsD5yj59I+T5niMxVCeejIOalY08fQaWhTMHxIR/FuV1eJA/yWIcQZ339s2sBjmTxZEvXfvQdMEuSlOmOxQcDlzplZRvh1ltIl8smLFy+lY7fRAo89TK8KJar54juBXDYUPPHuNsZwFVO8H9vXT1YbIeizaatViTNzxGNJgARIILoJUMBF9wzw/tFGAGGUqACIBsf4Rx0L6Tv3vlU5SaimWL5MQRW6A9NbTMLTA48PDF4vLBCQ02NawADhQSsXjRbk0yEMELv0V67dkQTx40n+vNmUtwimt5DVBNzQgJmq3Hu/nl7q/NNnr6qCBThXK7SC83v0C2vmbcuiSsDh/iP9Okm3To3sVi80HWfSJImlc4cG0qFNbcE4sfveqPmg8HBSIwIOi+Yb51fJ33//I0nSlI9xhQpQEGRsQBflsYH3qU2nAFm/Sb+KXsIP40vozKFSuUIRhQle3v5DpuhuEmgcXekD5+jLp3mZ7eVxuiLgPvwwvpw9slAJnap1esjBI+fCh6I9BxbbptUJcYAm4PTGjUqtzpbBh4BA02hEA3TqPsYRDtU0fMKYHoLqqdhg6NU/yKqYBnqNoXE85huGqp8BY+YaztuKTgGHyo7OGnLZ8J60aFrNYRETzDeer1mjSqrVAn7L4Kk0jU6w1UYgUcL4MiN4oOIKz/y6TftVyPnlq3dsDhkCGx7ZyhWKyoChUyR4+gpnH4/HkwAJkECMJEABFyOnhYOKKgLwEvX0aSodWtcWLCotDU1i0YjcVrlqFHno3b2Z6lEFkQVvGcIlTQ0elaED20qH1nXCq6tpnyNMDr2btu4w98Lgc1MBp5qhD2ynqrZhEaTZj0+fyYix8xy2GcDxUSngEPZ08cRSNUyEQVlW8NTGD/GMxVzj+hUlfvy4SkhPmbFS5UeZNlW2FHBgMKhvKyWcUZUubtz3pULZQircCh4/eP5igmGRChEGT60mtq9cu6u8R0Yqk6Ip9Mhh3hIvXlzlKUbDeVSp/PGpdaXB//rAbZS798z7wNWvU05tIlj2gbPHCN+N6+dWqe9FmSqd5PjJS7qHuyLgcCGtwiWEEKq84rsG4Xrr0lpVuAICztI0AYeqj1rFRBQgwbM5K+DwfUV1x6qVislgv+kqhE/PsAnTrFFl9T+8X7ATpy5Lq47+Zjmxluc2bVhJxo3qFt6aBF5DVFpFA3R7Fl0CLqLfF3ttBPDdRn5q986N1fv008/PxW/kTJkzf4NVbm+uHJnk2L7/Qigtx1W2ZH4ZM8JHUPkSQm7Nhn0yKnCe7vcJvTVPHZqvKgkjVNlIU/WIcuD5JEACJBAVBCjgooIy7xHjCWBRARGGUEUsNpCPhgISpkVLIvoQ2A3GPXJkzyjPn79U3jp7OTKWAk67f87sGSVTxjRy7sINKw9FRMfozvNDZwxVoZB63g0IMIQ1of8WDAsxeKMG+U3XZW4p4CCMHt3cpESpqYEnQuFMe0e585mMXgvvEbyJaBEAby4MomNi8BKZOnOVU2FcyAmaOWWgCh+DQeQuX71LJk9bZrZojWgOHMJxE3+USH7/4w815vq1y0raNMnl4OFzUqmW7fBCVwUcnkUL0YR3GgvxBPHjqvDSgDFzZNQ462qqjnLgbHngEMKNKp9YwOPdQz4VhJsmqvMW8TLbZIC4q1G1uHg1rqLC/PC+wc6cu6bCnBct22bIwwtvXMe2ddW7gD/DIDwh5FCkBd5+S4suAffmzRt5/foPo6+42XEIK40T5z2bHjiERl87u1Jtci1culWG+E8324SAcP/t5Wv1O9C6eTUJHt9Xjhy7oHJA9Qzh7e1b11Ih8NhoQFuKPIWbmYlBeAaRX9e8SVV631yaVZ5EAiQQkwlQwMXk2eHYYjUBWwLOU6CkSvm5nDu6SDWnRk6aZTEOFKpA8/RFS7dKyJzVcuv2I5uPphdCCe8dFsXwcGKxhkXclWv35O+//452RBAIJw+EKs8ZwgARAolCIL8+/83lsSGXsn+v5iqXDYbG2miwrdm0oH5KbCAMDh4iU8OmxAfvvy+/vXylKxpw7IzgAcrLZGrI46rTuK+q1mjLIiLgcE20G5kU2CtcJMFbUqRMG93iLeC6efVElf/U0We0GhLyo4oX/Vru3H1ks3ANigkhP83SIKoH+E6VRcu2mn2k5eHhL5GjBbEFbxE2TVwx8IeQ8PFuoHrOwabNXC19BoVVHzW16BJwyOVDqLizpoVQtmxW3W4IJSqsHj523updwsbWtbMrVGjxy5evw6MU/EbOlrETF9gdDr7/vgPayO59p2TD5gNmx2IT4srp5WrjhN43Z2eVx5MACcR0AhRwMX2GOL5YS8DTBRwmrn+vFoIm3Ogthlw+U8POOTwQCPPJfK4AACAASURBVKFzZKjMCM9l45aDVU8+T7DaNUrJ06e/qObK7rRypb+RIoW+ErS/cKchr6twwVxqAY1FNTzQ+w+elme/WBfnMb1v8SJ5VGEWiBtXBACuhWIi1asUlwzpUqp8UDS0d6eVLVVAUPEQHiB4MOFZv//wOzl89JxuOCo8Sihtj9Dm5at2OFX10N644cmrU7OUEnOtOvir4kiWhuIorbyqy9QZKw1V6n1HRPx9Owoq5uI7Zitc2da4qlUupto67NxzXAYNm+4SdoizyhWLSNCUpbJp6yGnrgEBiB5wpUrkU+chLBp5g2hnAfHlioHJsMHtpWfXpjJw2FTmvrkCkeeQAAnEaAIUcDF6eji42EzgbRBwsXn++OwkQAIkQAIkQAIkEBkEKOAigyqvSQJuIEAB5waIvAQJkAAJkAAJkAAJvGUEKODesgnl47w9BNq1qiVoerxj13HDPY/enqfnk5AACZAACZAACZAACegRoIDje0ECJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DJEACJEACJEACJEACJEACJOAhBCjgPGSiOEwSIAESIAESIAESIAESIAESoIDjO0ACJEACJEACJEACJEACJEACHkKAAs5DJorDJAESIAESIAESIAESIAESIAEKOL4DsZJAxgypZNaUgZI/bzaJEydOhBi8+O2VrFyzS3oNmCR//PFnhK7Fk0mABEiABEiABEiABEjAHgEKOL4fsZLAlrVBUrJYXrc++/pN+6Vpa1/5559/3HpdXowESIAESIAESIAESIAENAIUcHwXYiWBpw93Srx4cd3+7HPmrxef3uPdfl1ekARIgARIgARIgARIgARAgAKO70GsJPDrd3sjHDppC9zIwFAZMXZurOTKhyYBEiABEiABEiABEohcAhRwkcuXV4+hBCJTwOGRu/edILPmrYuhT89hkcDbTyBevA8kTapk8tvL1/L4yf9sPvC7774rf//9t2Eg77zzDsOkDdOKXQd66ruRMsVn8mGCePLw2+/l9es/Ytek8WlJwEMJUMB56MRx2BEjENkCDgtCr7ZDZd3G/REbKM92G4HqVYrL8CEdZdO2gzLYL0RdN3myJJIzeya5ceuBPHj4ndvuxQtFL4F33hGZOKantG1ZSwb7TZegqUt1B/TBB+/LmcML5dXr36WB1wC5e++x3YFXqVhY5oYMlWUrt0v3vhOj9yGdvHvuXF+IV+MqMnDYNIfFlhIlTCAnDoTKsROXpX3XEfLnn2+cuhv4j/bvIhA0E4KXyHffPw0/H393+vAC+SzpJ1K6cke5dfuRZMqYWiqULSjTZ6126j4x5eAM6VJIwFBvyZsnqxQr106e/vSLW4eGQlsHdsyQrTuPysTgJfLbb690rw/u04L6S/asGaRLz7Fy8fJtQ+Po0aWxGn9g0CIZNmKmoXN4EAmQQPQSoICLXv68ezQRiGwBh8f6/fc/pHajvrL/0Jloekre1pRAs0aVZUbwAFm6coe07RSgPhrYp6UM6ttaVq3dLS3a+xHYW0Lgq5yZ5dCuWYIKsV/mrifPX7zUfbJO7etK4IhucvnqHfmmREu7Tw/hsXPjFCn0TS4ZOHSqTJ6+3GNoxY37gZw5vEDSp0tpaJHerlVNCRrbS1CYqUmrIU4/Z5JPE8v1c6sEXtAyVTrJiVOXzQTc1TMrJHWqz6VgyVZy5dpdObx7tkBgTp2xSvoOnmz3fp98nEgKF/zK4ZhOn70quXJklg5t6jg8Vjtg+66jMjt0veHjtQOxEYD3LUe2jLJ63R5p3m6Y09ewdwI2n5bNHyHf//CTZP26frgAT58uhTz69gd58+YvdTre0T1bpkmBfNmlfPUucvT4RUPj+CjRh3L9/Cp5R0Sy52soP/38q6HzeBAJkED0EaCAiz72vHM0ErAl4GaHrpPjJ/9bbGhDRJhV4wYVpFTxfE6NGgvHkhU6yPWb9506jwe7n4CegIsfP65cOL5EeeJyF2oqd+5+6/4b84pRSgCL2K1rJ0nxonlkQvBiGeI/Q/f+8DJdPLlMPkv6sbx+/bs8f6Hv1UBV2Sy566pFMQScERs9foEMHz3byKFRdgyq7m5eM1H++usvKVOls0Dg6Bn4Hd07V3JmzyilK3vLydNXnB5jn27NZNjg9nLsxEUpW7Wz2fm4/vljiwWtXIqWbSvnL96ULzKnkY0rJ0ia1MnUBku7ziNshqkWKfSVw3nAnDVsPkiSJ/tEJo/rY2j8qB081H+GjA9ebOh4y4Pgfdu7dZrKra7TuK/s2H3cpetYngReG1dNkNIl8knAmHkyatw8dQj4XTyxVHk3M+Wsrf7OVQEH4TZ8aEfp0aWJIYHvlgfjRUiABCJEgAIuQvh4sqcS0BNwpv8Q6j1Xlsxp5ezRRU4/8toN+6RZG1+nz+MJ+gSwyMuUIZXTeMqV+UYtUPYeOC3jghaGn1+nZmlp06Km2jmfu2CD+vubtx/Jt49/cPoeUXUCxETgCB/5/oen0qVnoPzvx2dRdesYfx8spA/unKk84DnyN5In3/1oNWZsyCwNHS7VKheXH58+k59/fi4pUySVDz+MH/7f2kkQAxAyOzdNUaFp8Bg9e/ZcMmdKI59/9ol6T+4/MA+/XbJim8xbuClGsUJ43biR3aRj27py9fpdKVKmrW4oZdlSBWTDyvFy8PBZqVSrm9PP8P7778mV08slRfKkynu3YfMBs2tAZJw8OF+yZkknJSp0kDPnrqnPU6dKJptXT1Bc4QXr1ke/mu8XmdLIwD6twq9ZtVJRNW9r1u8N90ThQ3hIERadNk1yh8/Qr2dzqVa5mAp7x++1qzZ0YDvp28NLPVPx8u1dvYzZeVmzpFchp9hkyJa3gfzwv5/V562bV5Pg8X1l09aDSqzCXBVwOBd5cJdPLVPfG3rh3DJ1vAgJRCoBCrhIxcuLx1QCtjxwXXuNk+MnL1kNO06cd6Vdq1rSunkNpx/p0pXbKlSI5h4C3Ts3lhHDvN1zMRtX6T1wUozOx1m5aJRUqVhUjX6Ar2eF80XmxGk5QM2bVJEFSzaLd7cxVrfDMaP8ukhX7wbKe4GFNoqcaGFqEDfIY9KKOeD4qRP7SYumVZW3qGTFDionDJ6gHRuClYArULyl/Pr8t8h8NLdcG0Ln2N65ynuj552EsEUoIEJQ6zbpJ9t3HXP6vg3rlpO5Ib5y+84j5dW27IsJkQGBneerLFKuWmc5duK/31uEeO7bFiJJkySWBl4DZcv2w3bvj9C/Rzc3yb37T+Srgk2cHqsmeuCZLFH063CPoOmFEB6JcE8jFi/uB7JueaCkTPG5ykE7cPiskdNUGOQff/yp+66OH9VdhYGavs94J+eFDJV6tcua5XhGRMDhmtMn9Vd5ksyFMzRtPIgEopUABVy04ufNo4tAVOTAac+GHfsCxVtE16O+dffFQhsLdGcNO8xYNMIjc/b8dbunwxO3dcdRZ28RZcdruXu4YeVa3QwvFKNsgNF0o8QfJZTbl9aq3CtsmiC3zdLy582uQt2QN1S1bg85cuyCOgQL2DnTh0jDuuVl5ty10qNfWJGSr3N/qQpIwDMBsXf1+r3w4zWP1qJlW6VD11HR9NT6t33vvTgCQWFpRQvnFh/vhjIicJ5cuHjT7OP6dcrKlAl9Vcg3Qr8txdfr3/8w83JZXhsCYv/2EMmbJ5v07D9RcdQ7RhNMtRv1kZ17Tpgd8k3+HFK5QhHxGznLIc+qlYrJioUjZc78DeLTe5zu8ZrnMUe2TKqAi+bx0w7GmG9eWK3CqFNkrGyVL5nv62xq/iPLwNjUE2l6HwjUGxdWS8IP40vh0q3Di5JgzHjP4QFGiKq26RgRAYf7oqDT8f3z5Pnz3yRL7noesSkRWfPC65JATCdAARfTZ4jjixQCFHCRgjVGX7R2jVKyaI6/bNt5VHkXPN2wEP/hh5/k5u2Hnv4obhs/QiKXLxihQucQbmbLIMoyZUwlq9buMTvk008SKe/R5m2HzdqA5M+bTTKmTyUr1uwyOz5hwviyNHSE7Nl3UiZNW+5UOwK3PbSNC7VvXUtV4nSX/fOPSOceY2T+4s02L1mzWklZMm+4qsL4ZZ568urV77oCbmlogKGQReQpwgOmV9URwmxsgI94t6urioYghFLPIGqQ55ohfUrlpbPMc8U9vru7TYUmZshe0+oSuXJkkuULRpr9faqUn8l7772nvK9aARFHnOPFiyvJPv9UedpMw3rD8vUGyqUr5psNyEtDHmHvbs1k38HTUrVOj/BbZPsyvZw6tED9NzYWTIU2CtbgmXEfvfYYGzYfklYd9Qs24bxrZ1dIqpSfq7DMzdsOOXosfk4CJBBNBCjgogk8bxu9BCjgopd/dNwdZcrXLguUQ0fOScWaPtExBN4zEgloC/pO7evJwqVbpKPPaLt3g1cDx7rTVq/fq0IHY4KhaI//kA52h4IFO7w4MAgYS4+b6ckQcAN8p1iJWO0Y5LAd2zdXUCVSr3iJdpwWqtesURXpPTBIDhw6K+nSJpd0aVNIujQp1J+Rt4ZwSlwLgrFTd71Q2HdUqwPk0qXPVtNm6X4UKvrh3nYlJpNlqGT1jHnzfCkHd86yO2ZTDqbj9+42ShYu3WpouocNaid9unvJtJmrpc+gSQ7PwQbNtnWT5J133zUrroL7jxzWWXw6NVTPYjlnCIOF6X2Gv0drG+T66RmuPSN4oDRtWEmCp6+Q/r7GivY4fBgeQAIk4HYCFHBuR8oLegIBTxNwWIR4t60r+McZ1eNQiEPP0E+pdvVS6qN1m/bJt4//59J56M3kyBrXr6B2ajduOahCrlAGvEzJ/FKsSB5V2Q9hiqfPXlMLPsvmsI3qlVdFC3AezrdnCJf8/LNPVeiatiMMDsi1MWK79p5QRT4KF8wluzZNVeNCjpOpfZ07iypwMmzkLLMd+pjIHeNGIReE+mGHHX229AzV8KpXKaZyu1Kn/FySJv1Y5drcuv1QhYeCi6lp83nrzkO7/Qux4G/epKo6FXNr2j/P2XsamT+jx0CMQEAgVK5D15GyePk2u6cipBahc+4yLJjrNxsgW3cccdclI/06eL9/fLBTLfaTpi3vchNnzPvWtUEC0QHTBBzCOJUYS5tCCTKUvc+QLqX6LqLIiSPD9xa/D117BVodipBHhBEiL7FImTY2L4WwabQpwO8mQhUtTcvZW7IC1S/D2os4MvzWHdkzRxWDyV/McXg8vGJoq5Dk048kbxEvh15zhALjXQY7VMf09QuRCVPCvufw4l0+tVzixn1fhfSeu3AjfLgRDaHEhZo3qSzTJw1wyNURI35OAiQQuQQo4CKXL68eQwnYEnDos4OiI85agvjxpGCBHEpgWZq7cuAG92stA3q3lBcvXkqRsm2tdvoRarR/+wxVgADJ8wi5wQLf1fMcMUBJdRRywG4uFg6hM3x1nx+CCQUJUChCM61xLPoNoQS2XgI/jsUi7cb5Vao0dxvv4bJs1U51CSyIfnpkHs5ma7wVanSVw0fPC0Khju2bpwQMiiuY2tiArtK5Q30ZP3mx+A43z3dxlZ+r5znijs9RcGHrukny5s0bSZyijNUpWCijLDuKVdiyFat3qYUxeqXB+vdqIUP6t1E9oBBKZis0rFunRjLSr5PKj8mYo1Z4mJwr9zTyrEaPQYjajw92qMPzFW3usHUHxEutaiUdXh4VDzNkSCXDAmbarEwKdtg88TQBBw/Xo5ubVWuBj1OWdTkEFIwG9f2vUBMEXLlqXWTN0rGqQbcte/nytdy49UBtAqAQyb0HT+TBwyfqz/cffif43JZ5Na4sIZMHSMicNVbfWRSZ0X5TsFmE3EZbnjz0gUROacCYuTJqXKjD9wEH4PcO3jEIViNz3qRBBZk1dbDaNKnZoLfde8ALNnvaYGlUr4I6zlTA4bMRwzoJvoN6/ebcIeBQaRVVQvFvR5I05R02fTcEjAeRAAm4nQAFnNuR8oKeQEBPwGFBmjlXHfnt3wWts8+Bqnaj/btYneYuAQdxuGn1BEE/J4gilDbHQkUzTYRAhGJHGhX2YK6e5+j5NQEHT0eDOuVUIj2ql506c0USJIgvyBvyH9xB9XjCmFC97+Gj79VlUWXu5oU1Kr8F+StYjOiZVnHy52fPldBDvgdME3BYZIyd+F9LANNrNGlQUe1gawIOAgM715a5LhCHty6uUaFkXxduphaUpuYqP1fPc8Qdn9sTcGAL7wC8o/Bwhi7cJAePnFU5NvA61a1ZWok1VCScNG2ZDBw6Td0SXj00WMYiEItSWxUAcW14IOYt3KhaGGjz6co9jTyr0WOUR/fcSuVNSv1FVXn2ywujp9o8Diz2bp2u3mVbRVH+a/Cd09BiPsKDcuMF0HgaYYiOWqjYuyU87lvWTFSbLNgUaFC3nPLAlavaWeVwodDIvfuP5f6DMIEGcYbNFAinVWt3S4v2+vlY9u6J7xbGjVwwPZsxZ4307B+kPkLoYu9uXtLfN1imhKw0OxyCKHTGUKlbq6y07fTfBpERxDWqlhDk8mFzCL8xtsz0HTJSWROFZDAm/LbjN7VokTzhHjj8RuE37IMP3lOeP8v8V3cIODRhf3B9o/oeoZCJ6cabES48hgRIIGoIUMBFDWfeJYYR0BNw2O3Nnq+Byz21LHehtUd2l4DD9RA+gya7+H/THIWK5Qqp3W4Imur1esq+g2fMiLt6nr1p0wQcjsFiv2lrX6vd2k8/+Uj1lELRCMu8pHkhvmqxt3vfSalRv5furZCoj0XatJmrpM+gyeHHaALOlgdKjWltkBK7moBLkCCeyoWBYWdZE4NabhwWS2WqdNIdh6v8XD3P0dfFnoDr2bWJDPftqEJBi5dvpytkUBJ/WlA/NV8QxvC6wTatnqgaBuvt7uNz5BudPhwmmMFKq34XkXs6elajn+MdQwn8P//8U3mT3GHuEHB4f42WoXd1zA8efu/Q46h3be3d1wsrNjIWiLYrp5epcOgRY+epjaVVi0c7zCeD6Nu+frJuOLOR+zaoW1aV0Ydh403LO0RBEvSR0wQc5g9FbdByA78xe/afMrs8PsfGAwSls03L8ewXTyxRm0T4Lpw4dVl36FpfQojYnAUa280zxIbW3SvrJPFHicSnd6CkSZ1c+vTwChdwqNC5e/NUWbBkqyooY2nuEHC4xrPHu5Ug1xqtG5kTHkMCJBC1BCjgopY37xZDCNgKoYT37fbdb50eZYL4cdXCQc/cKeBwfYgSeOLwD22dxn1VrsLx/aEq7wyLqJGB83TH4ep5tmBoAg4iCgsTzbtmeTzuCzGFMK28Rb1Ey69D+BH6aGGnFxUDLc/XFj64HtowgKNmrgg4nAsPDRabpp42TUiib5O95suu8nP1PHsvoT0Bh8IcEDMQ1baaEsOD8fThTuUBLV+9S3gpfS3cDAUf0merER5eqY1Fa1QMLyUYahaRezr9ZbNxQvkyBVUPLlT4gyfdkaHKn9+QDtK+dW27h36YIJ7yYmOD56+//9Y9Ft9/HGMZTgcPz+RxvV3qH+lo/KafGy2MYXnNls2qqh53eFcwdmcNv0HYUELYedtOAar8vxEBB2/vtbMrlfhC6X5nDMLi1KH5kiVzWnWaaVVZbD5gE8JUwJ0/tliFtyJ/9tfnL61uVadGKeXRR64dwolRrAXiSa+CpuXJ3To1lJF+YWX8URjJNCICx4IPeFQsX1iG+E2XiVOW2n1UHA/P4t79p6Xv4MmC75upgMPJCD9fuXa3yme1NHcJOEQkYPOpVsM+VrmyzswVjyUBEog8AhRwkceWV47BBDytiIklSq0PGJL8r12/J8WL5lGlpqvV7Wl3h9fV8/SmUhNwWBghNMieXTq5TJXx9uk9XubMXx9+6OnDCyRrlvS6wnPimB5qcY2dbeyOm5qrAg7ewLKlCgj6T+3YfVx5Ri6eWKryvZDP9fyF9QLP9L6u8nP1PFtMHeXAGfnqYWGLTYeOPv9V0kNe2J3L6wT9p9p1HiFLVoR5LDW7fGqZKkaBPEHkCzprevd09hq2jse8Yn5tlYPXW+zCC4SNBHggNY+s5XFJk3ws77//nvLMY7PClmEjApUv4VE2NeRWVipf2F2PqXsdiA+t5xqE5NUzyw3dL2HCBPJx4kRKnP708y+GzgnbcAmrgAiDdwu5XfDmGhVwGOPj21tUfzN4gBFibdS0fDLMBzat7Ak4rQKlXm6yvXlEtUojofTYAMEmVIF82XVz7Dq2rSNoxH3txj1VOMmIKEQ0BXrjIZpCT8DZ4+QuAXfv6npBKCWiOWwVzDI6XzyOBEggcghQwEUOV141hhPwdAGHf6g3rpqgwt1gyGFBo1csXh39A+/KeXrX1AScXuEPy+MR3omFiWnOFY6B5yZwhI/yvsELpy0KsTBChTmEYJoKDO26rgo43Av3RJNmLHiDx/eR1s2rK6ECweLIYgJ3jNGogEMeHCpswuOB3lUotoPKgPBioGcXilh07zvBrOfZlAl9pJVXdauCCwUL5JQ9W6YpTypyY7QcS0tmrtzTEXcjn2uVATE+FHaxVxIf18Oi/sntLSoXEN5EvX56RkIojYwtKo/B3OL3LbIMXD9KXlq34IlRAQeu8MoXL5JHFVvaf8g85NvW2HHemSMLJVOG1IIS/jOnDLIr4PA7ku/rrIZQwFs6d7qv2tQxDbF2dDLyShG6i0q58Joh3BuGpthoao4xl6rUUS5cuuXoUlaf6wk4ePRt8xEZP7q7fPlFejWWyxa95bTzINYvXtYv1oX3ByGUGHehUq2s+tM5/RA8gQRIIFIIUMBFClZeNKYT8HQBB761qpeUxXOHK9QQIxAlRszV8yyvrQk4TQzZu7cmlOApaNRiUPihHydOKLcurhXslKM6m1baXhsjQqywQ29ZjU4TcFhMLl8dVpnS0kqXyK/CgLQcOHzepkVNmTyulyxYskXGTJgv8AjB9AoC2HoeV/m5ep7eOBwJOFQiRU5mlYpFlFizZ5YCzlSoIRRR2xTQPKLbdx1TobuWFpF7GnlvHR2jtQXAO4Hwzx+f2vcowfMLD7C9Ah6eKODACRsfjix7towqDw2eM4T+xYnzrvISGfGGaTmTlvcwKuBwHiqeopjOxClLZLBfiKPhqs8hsiaM7qHGiyI6yJG154EzdNF/D8Jcnzu6SIVbYgMAGwFGDTl9m1dPUIfjd+zYyctycOdMyfZlBt3iKUavayng3CXOTZlZjgW/mfDC43uE77+tjRqjz8DjSIAEIocABVzkcOVVYzgBTxdwqEaG3BOU2Ych3Abhk452sl09T286NQE3xD/EZi8y7by5IUNU3zI9T1fI5P7i1biKrFm/N7zBLPJGsBicHbpOuvUJWxiZmittBHD+l1+kUzv4N289lOOnLgmaHU+ftVp6D3TcWBfnu8rP1fNsfY3sCTh43DavCRL0kkLeYOiiTXLp8m359skP8uLFKxUGiJDRXZunqQIxlgIO9zx3dLGqHorCMfAoYOF45/JaQThhsza+Vrl17rhnRH8y4G1BGwF41uCNtuVh0O6jheIhh3TS1GU2b492EGgjMHT4DN28I8sT8R2M6Yte01L1+I6hyiuaTM+at1a69zW2EaQHzBkBBw/V8f3z5OatB5LHJJ/S0XuA8F7kIqZNncztAu7SyaWqoXjCzx23l7AcZ+cO9WRsgI8Kx9134LTUqVlabG12OHpG7XNLAYd3e+HsYXZPL1EsrxLwaCXz00/6mxjnzt+QwEmLdK9jWgwoSZoKTglZo8/F40iABCJOgAIu4gx5BQ8koCfgsOPYuOXg8Mp6zjxW/PjxZMzwLqppsqW5u4iJaRjfwcPn5MDhM6okt6MwSlfPs8VBE3BzF2yQrr3G2cWlHTt89BwZPX6+2bEo0Y7+dVpFROQbocEyRAPaIWCBrWcogW7E7t5/bObBQ6l8VI7DDjty3nIVaBxehdHe9Vzl5+p59sZiT8Bpz7d+bWUMFQAAIABJREFU035p1maozd5e6K+HcEc9Ade7WzPxG9w+vPkxcrhWLxmjOCFX0LJYgzvuaWQuHc1PWMn/7NKjn3lYqOV5EDBYbCOc1p2G3xBPyBtCPiq8z5jHXN80kVevXsvl08sFxVgKlmztUkVLcHRGwGkFO7CJkL9Yc7l2475TU4HzHHngUAjJiKHdhupJd36V2vj4PH1FI6eZHWPZvw2eTIQgOgprt3ej6MiB0/L2tGbsToPgCSRAAlFCgAIuSjDzJjGNgJ6AM1r8wNazoO/YrKn/hQdqx7lbwA3o3UIG92ujds3RmwpV97Smskg4xwJSL//H1fMcCTgsftA42VbOEXbMb1xYLSjxjabf8LRZmtZbrO/gYHkvThzVKNrV0uaW10ZftF9+/S1cdEwK7CltW9ZSh/X3naLaMZgaxqlXzMRVfq6e54qA06r74dw8hZrq5nXhM3gZrpwOK3ShJ+AQjoiKndjx/6pgE9WkGR7UkNmrpdcAc2+lu+4Z0d8IVJVE3zGIT1Nvrq3rIicTFUn1rFjh3KrFBQplvH79u8ohxMbD4yc/2hwmqgOi12ClWj5y6Mj5iD5OpJ0P4bRojp/Uql7KzPvc26epqsqJfm0IO9arcuhoUM4IOFyrX8/m4jugrYwev0CGj55tdfnMmVJL3txZZcWaXVaf2RdwawW/Jb880e8vaXox/G6Vq4ZKkpdVYZUXL17KF1/VdfSoVp8n/uhDmTi2p/qewF6+/F18A0IUY1ctqgWc6bsxZsJC8R81y9Wh8zwSIIFIJkABF8mAefmYScBWCOW6jfvkxKkrTg86QYK40rJZNd0FoTsFHJL+N//bNBfewg2bD6ixIvEe4UioKBcwZo6MGmfu5XL1PFwb4Ti4vmUSvmkfuDbetpvgaj3C0BA2R/5GVr3icI/WzWtI8PjecvnqHZU8nz1rBuXVg3fPWYP4wAK8WJHcqsIgwiZNG9IunO2nwpuQX5f2y+pm3iQ8K8p4o0E18kQ0c5Wfq+fZ447PbHngtDLqOCZJmnLy+nVY43NTgyhbu2yslCv9jfprPQGHv0dJfpTmD5q6VNq1rKWKfaAv1LkLN8yu5857OjvXlsc7W4lS7351a5WWWVMGKc9lldrdZewIH7uNvHENvLMHdsxQ7RvQe+/seXNGEX0ud52v5ZChuis8Trm+aRwe7qkV8YBwRV81iDhnQ0GdFXCaJxBjwUaBpbeqbq0yMn/WMPELmGkV8ufIA9d74GTVA86R/SP/yBC/GWqzA4IPnkC0LXHGShXPKzOCB6jf/0fffi8HDp8TbOjB0HsO1Um/fWxd9t/RPaJDwLECpaNZ4eckEDMIUMDFjHngKKKYgCfmwKFkNvLeUiRPKnMXbJSuvQLNqGGxs2DWsPCF58Ej59Tnrp6Hc5HQf2L/PIkXL66MDAyVEWPnht9TE3DoAQUPhVeboVYl1Ft5VVNFB5Cf1K3PeJkd+l8LAdPBo5z4rUtrlZcOhhLeCNVDXyZbhmqKmTOmlqxfple5XChKke/rbKpdgamhwmWxcm1VUQt49rp1ahT+cbW6PczKZGs961AYpXXHsAIxrvJz9TxH3PG5LQGHXLu7V8IY4/3Ae2JqeHdQjATFTeBdQg6lLQFXr3YZmT9zmAo1RTgrBDxyyyzNnfeM6M8A3lP0sEJxHPTlOnzUuCfs888+lrEB3aR+nbJK3Lds76daTYSFZWZT3m5sMOgZBBxCEjNmSCXZ8zWUBw+/i+ijuP38Tz5OKFMm9FWeN4QrYwPIdJMCN8T3FKGyZUrmV8+AjQzLtgj2BuasgINoHOXXRbp6N1C/DfiNMDV46FDspEV7P9Vc3tQ0AYfxtWgXlhdWvOjXsjQ0ILwPnDMQEU6MEMqDh89KpVrdDJ0aP94H4j+ko3i3qxvW823tHvHpPU5++fWFVCxXUKYF9VffsWe/vJA+AydZteVwdJOoFnBag3UId7zHtlprOBo3PycBEoh8AhRwkc+Yd4iBBDxNwGFxsH7FONXDDCGL8ITo9RTSCoIgrBKLbYgWV87D4h6mecbw5zPnrknx8u3DZ1MTcEMDZqpGuP16eqmd59NnryqvHfJP8nyVRR2P3m89+oU187ZlqA6JKpEwFN7o3GOs7qFYXAaO9FGlxJEvZ2loMo0QtiPHzsuho+fDG4RDuEHAIWQKIVkIdYI3qWzVTuGeKlRuRLig1tQ7JnLH89rLgYMnE/MGw/Nt3XFECeIc2TNJjX9zNBHKilYByNm0JeAwpyhcAq8uDCFpU2es1J0Td90zoj8VEAQjhoWJdCP9CXE/hNh27tBAOrSprfKfrl6/K41bDFYeGaNVKCGMEXL6119/S9K0Ma/wQ61qJWVMQBflIUJoX9vOAYIcST1LlDC+zJsxVOWzweYv3iIDfKcoUeLInBVwuB560Z05vEBVjEUhJm3jCexXLhqleujBc4/QTlPTBJzemLRG3o7Ga/o5flfQYiV00Wbp3GOMw1NLl8gr40f3UB5+NAjvPSBIFi/fZnYe3i00ckfLDtimbYdkxJi5hlsKRKWAA+8VC0dK5QpFZcBQ69Byh0B4AAmQQJQSoICLUty8WUwh4GkCTssVwY6ovZ5CCHM7umeO8pxhZxoeCOSYOHseSmFD6GABsml1kKRNk0y695lglotiKuDGTVqkms42b1IlvDIm5vrHp89Uk26tybC9+S9cMJfs2jRVHVKyYgc5deaq7uFaJUmEuN2+861cuHRTLYjw/8ib08SndjI8dQG+3mqXH6Z5pratm6waoJvmSyF8EuGbmhclJnLHM9gTcPCiDB/SQTVBx581w3wiR3Kw33RVGGbZ/BF2BRzO0/IFUewC7Rye2qhq5857RvQ3Al6wC8eXqPcX7SGw4aFnaJfQrFElaVy/ompjge9I8IyVMnbCgvAmznoCDh4ViHx4sf74443Ejfu+VChbSHl+Dx05pzx/McEQKgtBhSby2kYKPIjwVl29fs/hEDu0qSMjh3kr7ztCGyGKULHSXnsGVwQcBgKv4OK5/srzibBVfI/hjb95cY08ffpMCThL0wQcCusgCgCGzQa0s3BWwMWL94GKXqhSqZgM8ZsuE6cs1eWDUHJUrsX/NE//8ZOXpLX3cLl331xgml4A71ngyG6CfGDYnn2nVE9MrW2KrcmISgGHCIZTh+arNhI5CzQy1HTc4UvEA0iABCKNAAVcpKHlhWMyAU8TcNHNEgt0LFhNzVLAaZ/lzJ5RMmVMo7w/lrvm9p5Dq3yI8u+o3mbPENKG3ELL/nCW5yC0EwUbUJkQhnYBWlEBeE3wDFiIYWGLprfI/8GiCgI2Jpged4zLUR84HAPxjT5UaOCNBThye5CHGJkWHfe0fB544eaFDFWhkHreFMw7iv5kzpRGnQqht27jfhnsP91qEa4n4BBO+vDGRuWtMzXkPiH07u69x5GJ2OG18c7Dm9ioXgUVbg17+vOvEhS8RKbOXOVUWFyObBlkRvBAldsHg8hdtmqXBE9fpisCXRVwuHafbs1UERoUjVmzYZ+qiAlhp1e5Fsc7yoHr2T9IlxVCzV++fKUECsQ4BH/VSsWUyMW7gIJMpqIfnugaVYurVifI94QwhiEiAWGfi5ZtM1RqP8mniaVj27pqbvBnGIQnWlggIgCtPSwtqgQcvjNTJ/aT5k2q0vvm8BvGA0ggZhCggIsZ88BRRDGBH+5tV0UZosLcVU0xKsbqzD1sCThnrqEdi0XR1TPLVYgXFl7YQXeH9e3hpTyD8AR26DrKKucHi90dG4JVWwEYPE0o3nDi1GV33D7SrlG+zDeybvk4Jao/SVU20u7jqRfGe3T2yELVnBreVNNiHBBl8LaUL1tQFi3dKiFzVsut2490H9VWCCW8d1iEI4QXi99btx/KlWv3bLZsiEqOpnmr2ECZv2SLTJ+5Snm3XLUqFYtK/17NVY4pRE4Dr4GyZfthq8tFRMDhYm1aVJegsb3CRRLmDeHiesVU8JybVk2QfQdPi3e3sJBH5GMiD+7O3Ue6hWQwn2uWjpUKZQtajf3pT7/KwKFTZdGyrWafaV54/CUqVEJszZm/waqYj1G28PZCKPl4N5D06cLydafNXC19Bln3oowqAQehj6q08GbS+2Z0JnkcCUQvAQq46OXPu0cTASTqI7ciKmzytOUyYGhYaODbZO4UcDWqllDFB7ArjlA9I/k2RlhigY0iKii+YquiHgqoYAe+TKn8KpwSzXdjumnFWO7c/VZVEqRZE+jfC+02Wsu4SYtl2IiZZgd88nEi5fHQaxdheqBWmTF7tgzSpNUQVZ3RE6x2jVLy9OkvqpmzOw2VSwsX/Eq35D/uU6JoHlUoBZtWKDziiqGKLHIzM6RLqXJnkYvoTkMecdVKRVXeLjyKCH28//A7OXz0nG54aPz4H8jC2f6ydcdRWb5qh93CSs6ME5tWdWqWUmKuVQd/3fBkFEdBripyT+cv3uzw8mil4e/bUb7IlEaQm2wrfNjsHf+3/UbPrk1l4LCpVm1VHN6UB5AACUQLAQq4aMHOm0Y3AYTOBI3tqarLaSEx7h4TvCPIQ0PxBxSReNvMnQJuy9ogQQXIJSu2S7vOjkt/v20sjTwPQj1RGAaLZITHofiDvWIvRq7JY0iABEiABEiABDyPAAWc580ZR0wCMYKAuwQcioacPBjWtw4NdY8evxgjni+mDQJFSdACQDPk7VWp3c1uUYmY9gwcDwmQAAmQAAmQQMQJUMBFnCGvQAKxkkC7VrUkfboUsmPXcdl/6IzLDFC+u2zpAqq8uWmfOZcv+JaeiLwrFFNAaBwKkqCHFypx0kiABEiABEiABGIXAQq42DXffFoSIAESIAESIAESIAESIAEPJkAB58GTx6GTAAmQAAmQAAmQAAmQAAnELgIUcLFrvvm0JEACJEACJEACJEACJEACHkyAAs6DJ49DJwESIAESIAESIAESIAESiF0EKOBi13zzaUmABEiABEiABEiABEiABDyYAAWcB08eh04CJEACJEACJEACJEACJBC7CFDAxa755tOSAAmQAAmQAAmQAAmQAAl4MAEKOA+ePA6dBEiABEiABEiABEiABEggdhGggItd882nJQESIAESIAESIAESIAES8GACFHAePHkcOgmQAAmQAAmQAAmQAAmQQOwiQAEXu+abT0sCJEACJEACJEACJEACJODBBCjgPHjyOHQSIAESIAESIAESIAESIIHYRYACLnbNN5+WBEiABEiABEiABEiABEjAgwlQwHnw5HHoJEACJEACJEACJEACJEACsYsABVzsmm8+LQmQAAmQAAmQAAmQAAmQgAcToIDz4Mnj0EmABEiABEiABEiABEiABGIXAQq42DXffFoSIAESIAESIAESIAESIAEPJkAB58GTx6GTAAmQAAmQAAmQAAmQAAnELgIUcLFrvvm0JEACJEACJEACJEACJEACHkyAAs6DJ49DJwESIAESIAESIAESIAESiF0EKOBi13zzaUmABEiABEiABEiABEiABDyYAAWcB08eh04CJEACJEACJEACJEACJBC7CFDAxa755tOSAAmQAAmQAAmQAAmQAAl4MAEKOA+ePA6dBEiABEiABEiABEiABEggdhGggItd882nJQESIAESIAESIAESIAES8GACFHAePHkcOgmQAAmQAAmQAAmQAAmQQOwiQAEXu+abT0sCJEACJEACJEACJEACJODBBCjgPHjyOHQSIAESIAESIAESIAESIIHYRYACLnbNN5+WBEiABEiABEiABEiABEjAgwlQwHnw5HHoJEACJEACJEACJEACJEACsYsABVzsmm8+LQmQAAmQAAmQAAmQAAmQgAcToIDz4Mnj0EmABEiABEiABEiABEiABGIXAQq42DXffFoSIAESIAESIAESIAESIAEPJkAB58GTx6GTAAmQAAmQAAmQAAmQAAnELgIUcLFrvvm0JEACJEACJEACJEACJEACHkyAAs6DJ49DJwESIAESIAESIAESIAESiF0EKOBi13zzaUmABEiABEiABEiABEiABDyYAAWcB08eh04CJEACJEACJEACJEACJBC7CFDAxa75jrKnLVYkt0wP6i+JEn0o/qNmydwFG6Ps3rxRzCeQKuXnkiB+XHnw6Hv5/fc/3DLgd999V/7++2+3XIsXIQESePsIxI37gaRNnUxevvpdvn38w9v3gHwiEiCBWEOAAi7WTHXUPujFE0slY4ZU4Tft7ztFgqeviNpB8G4xkkCa1Mnk7JFF8tvLV/Jlnnry+rW+gGvdvLoM9+0os0PXy9CAmQ6f5eDOmZIo4YfSsoOfnLtww+HxMeWAePE+kNbNa8i3j/8n6zftdzisAb1bSNVKxWTUuPmyedshh8ebHtDVu4HUqVFaQmavkeWrd9o8t1/P5lK7RmkJmrJElq2yfZyRm0OsL5nnLxOCl1o9X7NGlWX08C6ycctB8e42Wl3Ox7uhrN24Tx4++t7I5WPcMR3b1hHvtnVl8fLtMnbiArePr2WzalK/dlkZNT5UDh05b/P63+TLLuNGdZNTZ65Kz/5Bbh+HJ14wfvy4cu3sSon7wfuSPV9D+ennXz3xMThmEiABEhAKOL4EkULg/rUNkjTJx2bX7jckWKaErIyU+/GinkNg8Vx/qVW9lIwYO1dGBobqDhyi5tLJZZIieVJp1sZX1m7YZ/cBS5fIJ5tWT5SnP/0imXLWlj//fOMxQFp5VZMpE/qqxWSB4i3ku++f2hx7nDhx5Pq5lYpLoVKt5OLl204955a1QVKyWF6p17SfbN1x1Oa5h3bNkq9zfyk16veS3ftOOnUPy4Mhwnt2bSK79p6Qmg16m33s1biyhEweoIRdk1ZDpEbVErI0NEAeP/mf1G7URy5duWP33gUL5JQknya2e8zz57/JoaPnZEbwQPnk448MPcs///wj7TqPkF9+fWHoeNODGtYtJ3NDfOWPP/6UEhXaOz1H9m74zjvvyJE9cyRXjszS3/e/39OkSRLL33//YyZIypcpKOuWB8qe/aeker2eTj9Hl471JfFHiZw+z/KE3357JUFTl9q9zjvviIzy6yIlin3t8v1CZq+WBUu2ODx/YJ9WMqhvKwkMWiTDRjjeGHJ4QR5AAiRAAtFAgAIuGqDHhlu2b11bJo7pYfWofQZNlmkzV8UGBDHyGSEAvsiUWrJlzSBPn/4i12/el+9/+CnKxlq8SB7Ztn6yvHr1u/K+QXDpGRb8WPjDcAwWp3o2beZKGTtxoRJvEHFG7KPkpeWvv/4ycmiUHaMJqy3bD0v9ZgNs3rd6leKybP4I2bnnuNRq2Mep8b3//nvy5PZWeffddyTVF1XVHOjZZ0k/lrtX1isRnDJzFZvHGbl5ggTx5Mb51fLJx4l0xWDDuuVlbsgQ5Uls4DVQ3hERvyEdpJdPU3n2y3Ml+OBB0jOImY2rJjicd3hji5VrJzcvrFbC14i9evVakqatYORQq2MwLohQzNWJU5eldGVvl66jd1KRQl/Jzo1T5Nfnv0mWr+rK8xcvBeJn1tTB0qheBened7zyWMMiIuDwDFfPrBB4yyNq2JDApoo9M2Xmyv3w6zDUf4aMD17s8HRsLMIL9+bNG3rhHNLiASRAAjGVAAVcTJ2Zt2BcfXt4ydCB7ayepNeAIBXC9bbYBx+8r3bbY7LBoxXg6y3w9sSLF9dsqGfPX5deAybJ8ZOXIv0RVi0eLZUrFJGZc9dKj34Tde8Hr8qWNRPVOG/eeihx474vadMkF3hFbt1+ZHbOnAXrlRCdNXWQWsxevHRL8Kx582RVxx07cdFK/FWs6WOVK1enZmnp1K6e255/2qxVsmb9XsPXw/OdPBAqCRMmUJ6fJSu26567a9NUKVwwl1Su1U0OHD5r+Po4EOfhfD1PmOmFGtUrL3OmD5GDh89JpVo+Tt3D8uB2rWpJ0NieygsFj6Gl1a5RShbN8ZdtO49K3Sb9wj/u7dNUCTmI94o1usrV6/d0x9GnezPJnjWj+ix9uhTyTf4ccu3GPblw8Vb48fcffqc8LblyZJL33nvP7vN8/tknsmbpWLly7a7yhrpqyZMlkZMH5yvhCmEKYR5Rg1ALnTFU6tUuqyIZENEAg/iBOMU9i5ZtK+cv3lR/7y4BB+/ZDz/87PTwP/roQ+nfK8yj7EjAaRfHszhjODxwhI90aFvXsIDDORNG9xBsMtIL5wxtHksCJBCTCFDAxaTZeAvHgn/Ah/RvY/VkyMmYMcezRVz+vNkEIvXxkx+le98JMXb2MqRPKRBOWbOkV0ITCzwscj9L+okKk0v2+adq7L0HTpLps1ZH2nOkS5tCLp1cqoTYVwWbyL37T6zuhbHu2xaiwm/hWfMbOUvgNdy/PUSNtX2XkbJ4+bbw8778Ip0g9+3DD+NL83bDZPW6Peqz9SvGSbnS38gA36kyefpyh8/UuUN9GRvQ1eFxRg/oOzhYps5wLlwYeXDB43srz1O+os2tQik179vps1elRIUORociKNwA6+XTRAb1bS2D/abLNJN5RuEX05DT2dMGS+P6FWT46Dkyevx8w/fRO/Ds0UWSJXNaq3nTjoWYx7tpGeaHZXzAMG/p3rmxnDl3TYqXb293HNrx3To1lradhruct1esSB7Zvn6ybNp6UBo2H2R1T4gkeBWNGPLUfAe0lQuXbknT1kOMnCIvX762GUIL7yG8YvCgmn5/wBec4ZVLlblq+OaEOwRc6lSfS/5izeXajfuGxm96UMoUnylh6YyAc/YmYQKum3RsZ1zA4R74nTl/bLHizVw4Z6nzeBIggZhAgAIuJszCWz6GgX1aqoWjpUH0zJq3zmOffurEvoKCAnMXbJCuvcbF2OfYvGailCqeT+7c/VYatRgkl6/+l1eEpH7f/m3Fp1NDJe5KVeoYvoPv7gcaNqid9OnuFZ7vpHf9lYtGS5WKRZRHpl7T/krswbJnzSCHd89WYyxUurXcvfdY/f3yBSOkWuXisnTlDmnbKSD8kgj9OnVwvrz3XhwpUqatChW1ZxCx8IK5yx48/M5uaCoEp6WvAd6HOdMHy5lz12V26Dqz4i4QsQd2zJDMmdIoMWRZ7OTvf/5Ri1FLg+hFPps9g6AvUiZskwXeZIQ8IozSiCFPbcfu47qHVixXSHmznnz3o2TL20A3L7Fo4dyyY0OwnDx9Rb17pgahAk8JhPDN2w/tDgfs8Jy5c30hmXPVsSmCcmTLINMn9ZcTp66oDQtLa928mgSP7yuTp62QAUOnmH2Me0BsVipf2Agal47ZuuOIeu/1TMvd0vIFtWPatqwpkwJ7WXlWPVHAofBVooQJnGLXo0sTqVenrGEPHC6OuUQubs1qJVUeLvJxaSRAAiTgSQQo4Dxptjx4rNriw/QRsDiHiNNyNjzt8TxBwNWtVUYWzBqmcr4KFG9pU8hoOWTwYMGTFRmG4gtYYHf0GSULl27VvQUEBEIZ5y3caFVAAhUUs2ROJ1NnrAj3CMC75OPdQIXkIoTS1Nq0qCnFCueWydOXydnzMasq5b2rGwyLJCNzgZLoWXJbh4BqAg6tGiyLoyAnDl4SUwGneSKRH/T777bDghGmClFZq2Fv2bnnhNUQIZzhScX9fYfPkPGT9XOTENZ4bN88FSIJT48tQ4uIlCmSyqNv9Uu/o5AJCifBs5y/mO3Qx8b1y8vsaUOsBH/Yol5kxLBO4uPdSHr0s95cwufTgvpLSZNCGxDi8Ba/ePHSZj6n3jPBm4Z3/Yf//SzIt9Ns38Ez0qn7GKtTcPyJA6EqJBMhwIePhlWfhBDB9xshwPiOm3pSMT+YY3hY9UK88fsLz6ZeeKqWAxeVHjjcc8PK8VKmZH4jr7zZMc7kwGkntmhaRc0nciQRekojARIgAU8iQAHnSbPl4WMd3K+1DOjd0vwf3n/+EZ/e45UXy9PMEwSclnNm6aGyZK3t4t+6/VByF2rq9qn49JOP5MH1jWrBCW8MPFT2DF6Or3Jmdts4UKhl/uLNbrteRC+E/ChH1RPhiUC4HjxrluLU8v7wcuktQjUBd+jIObXwN7VMGVPLheNLwgUc7nfp1DIlSGwJM+187b1CkRHk1FnaiH/DH/H39ipZwlOKghIQoKUqeUu6tMklXZrkkj5dSuURDfvvFAIhAVGY9ev6uiJOy6VDCLCeZ00bH7zAvbt7ia9fiEyYssRs2Hg3VywcJZUrFFbFU4xU30QoHhjef/BEvirY1FAfwo8TJ1KhhdrzOCoihHGhmiRCgl+//l2SpCkfPm54ji+fWi7wpFv2QMR5Wk6ZXn9ECLhCpVqrfD9Liw4BhzEgLw0hoc4Ywl5z5sjklAcO18c7dvnUMiV8035ZXZ794nzFUWfGyWNJgARIwJ0EKODcSZPXckgAOSHoMWVqWEj49B4Xbc2+sQhq27KW5Pkqi6RNk0ztVqMHFcKs5sxfb7Z4RoPyQgVyqeHXrFZCFctATtKGzQfDH2n+4k3yvx+fmT0j7oHS+XnzfKlKgMMbAs8Hzt20Vb+XF/KQ0EMLPbIQAgjvFXansWBBiBuKj5w+e01WrNlls5ea1o+vW5//qtPpTRL6iq1YOFLt4H+csozDeXT2AK08PBa6yDlxZFMm9JFWXtUdHWb4c7BCJUJPMq38/oTgJTLEP8SloTsj4LTvpqNKmBjI2mWBUqFsQV1xBqEBwaGJB03AQcRj0YxiI+nTplB5SAgJLVHUcel4eBAh+lt28Lfq8QfPGAqlwOOKEGFb3yeMByG3VSoWVWGKCNM1NXx+7ugigbDN9U3j8DBde+BxzrL5AaovX4v2fuE5mPbO6epdX0b7d5Xlq3ZJa29/h/PauUM9GRsQJr5Nq2PiuUcO66zCn/Vy9twRQgmBDS+hK1Vb4TXF715MzIEDS1ORau+9cThBPIAESIAEooEABVw0QI/tt0RlShT/MDWIuC49AyV00aYoxdO8SRW1+NMKPVjeHH2gGnoNlINHzqmPtDwue4O07M+0P5THAAAgAElEQVSF6n8LZ/vZLGEOgYb8rRe/vTK7LMqFo2y4V9uharEROsNXsCiyNIgTVLpD7yxTQ4jWd3dQNv5d5VFBeJYt04rNXLpyWwqWtK4WGNFJ8RvcXnp3a6YWuEZCNAvkyy6ZM6a2e1vsumtFLmy1pkC7BJSk90QBh+p6ndrXi1COjlEBV6dxX4HYjxPnXclXrLlD8aIVialWt4fsPXA6fJ5QxREhkVphHHwAAYfv0f7tM+zOJwTa3fuPVXEb/Pne/ceCCpL4b4gALR/S8iJ4vy+eWKJK3mf9uoFV6C36kGkLdhSuQJ6VnicP4YY/Ptih7pMkTQXDogV99dAGwlCxlXfeUcUzMIayVTs7rPyaI1tGlfuoVY41FXBgjF6JqNJauHQbs9xWPK+7BBw8wHoePEe/CZgXeJBjsoDD7zK8t2MmLBT/UfZzRR09Lz8nARIggagkQAEXlbR5r3AC2oLeUsR17jE2ykLdShXPq/pIYaGxbNUO5UU7evyC/PXX35Izeybp16u5anqMBssQNRBI8Ljl+eoLNewmDSqp0uzIR8H5mqHp9M/Pnqv/xG7/knnDVS4Kig8Eh6yQK1fvSuLECZXHDxwQMoQ8FDT9NS1EoQk4VF1sUKecWuyh7PWpM1ckQYL4giqY/oM7yBeZ06iCGSUrdlCeQ2cNz49KjhjPwqVbpKPPaGcv4fD4aUH9pEXTqqoHIHoBusPKl4GnZ5zdoihag29PFHBaw3OEGMMT7IoZFXCtOvirIjFTZ66UoQGOmxvjewNvcNU63c02BjRhh7wi5Mmh8ikEHHq5nT68QImxew+ehIkz9f9PZPa0QZI6VTLJW8TLYbEZPQb165RV5fX1DGIsfbYa8uPTX1SY4Q/3tiuPespMVawOR0XTM0cWyu07j1SVR6OGzZWje+dKzuwZBYLW3kYJvJbwXhp5H7GpBNGLPEGIZLzLmoDT8vW6dWqkm8/nLgEX2Tlw9WqXUb+jEbFsX6ZX4bZoOXLn3rdml1q5Zpfio2dgOG5kN+nYtq7MW7hJuvQcG5Fh8FwSIAESiFICFHBRips3MyXg/2/DXtO/w4LLaChSRGmi0ThyLixLmGvXhQcLi1pUQBw4dJpMmrbM7JaOcuCwAENIFhYX4yYt0l0Y4x4o9oDwSMuS95qAw00R1ta0ta9VMQKEpSHxHwt1V8UXPFSYC4RPIo/KtEplRBlr569cNEqJWf9Rs2XMhAVuuezbLuDwXsATicbervYRMyrgUIUSYa7I+8ImAsKD1286YNPrpTUer1K7u+w/FObZbd28ugSP76M2OtDmACG52PCwlwOn3u21QWqjxJXnxObDqUPzBeILhlBjbRPki0xpVHsJTcBhgwLfZ2zSlKvWxeod1No07Nh9TGo36uvUO6oVxLDXYB1CD9+DSuWLSKfuo2XBki1279GjS2MJGOqtCrNUrOGjirT8J+DCKmJCROct6qXrMXWHBy6yBZytXqFOwbdz8Khx8yVgzBybR2iRB7baRrhrHLwOCZAACbibAAWcu4nyek4RCBjaUVAG2tSwAPziq7pOXceVg+eGDJGGdctbNRE2vRYWtfjf+Ys3JHj6CqcEnCaMsKOfv3gLm82+0bh6z5Zpqtw68sO0inGagENFwJwFGtv0rmkhXMhTwWLOstm1PTZogzApsKdqcIxS2iipHRm2d+t01WQZ7RaMFKz5KNGHcv38qvA8Kr0xvRcnjvKqgM+r13/oDls7xojHIzKeOyLXvHF+lcqBRO4exu+KaQLuxq0HMsaip1uyz5PISL9OZlUocY95Ib7SoG45CQxaKMNG6IeVoVcacjEr1OgaXhERAmjOtMFSvnoXdU14dY0IOJT1Ryiz0Z59phy0puP4O2z+lKzYUeWVQiyhPQE85JqA045FeObhYxescGbJnEbyfZ1NiaFj/za137XnuKGecghxRDGWpEkSq/5xm7dZ57Xi/d+9earyzmfJXddm3qo2sNo1SsqkwN7Ks47qm88e7zHLgUO4aiuvGjJmgn6vPk8QcAk/jC+JEn3o8NWGt2zKhL5SoWwh6d53vGzept8YHfzhbdUM1UHtFQBq06KGTB7XW0U3lKnSyeE4eAAJkAAJxBQCFHAxZSZi6TiiU8A1a1RZZgQPUOTRVByNoy1LrdubFkceOCwg0ecqaOpSGTRsut0Zfnhjk8CbVrFmVzl0JKxEuCbgsBhEjps9Qy4MikIYDbeD52+0f2fp0KaOuixCQDt0HSVv3vwVKW8iFq6Fvsml2kYY6f2niVJ4BX98al4QRhsgPJxghsp8WsiqrcHDq4jKgtFtPt4NBUUpjBjEG4QIhL3RIhJTZ6wya1zubB84jAshafD+JUyYQOVfrlm/12q42nxi0YvFLwz5TsXRCHvXMfXfRgUcwgAhJBEmivfXqKFM/ulDC1QIMYoGYfFuT8AZyV+1vLeR7652DgTs0tAAJRjKVPY2K8+PDYmje+dIurQpDXnfcE2IG8wf8m8Rgm0p4Bxx8gQBpz1DwoTxZbRfFxXloNfzT+vbhs00WxEaaImxb9t02bztiKpEauQ706FNbdVr8MixC2rjgUYCJEACnkKAAs5TZuotHKdWZc/00aIyhBL3HRvQVdD7CoZE/eMnLwtCqFCh7sKlW3apOxJwd6+sF+ySh8xeLUdPXLR7LbRXQL6Qd7f/Qqs0AYceWuilZc/QMBmNk7EAQrinPUOVPfSOQkgZnnnUuNBI87xp49Aabhv18qE4CUrRr1yzW1p28NN9HCMhlDHtazOkfxtB2FZk2ejx82X46P9CxjQBh5yzWfPM8+iSJk2svN+mfeC0cdWqXlIWzx2uwhFLV+4ol6781/wdx6CwBrxVCJWEx0vPjAo4VHbdvj5YefLg0TNqWu4bNjjQsw7FKOwJOLz3+D4aMeSbDerbWsZNWixDA+x/90yvp1XyhNcdnjNsLMB7NHvaYGlU7//t3QeUVFW2xvFtFhM6mBBRzKI4KmIgKZIEBAmSJecMgmQkB0kCknMQkCgIIgiKoBhQVBTFiIiYc0LFML71nX63raqu3FVd3e3/rDXrzdA3/m51v7trn7N3RVu15kkXgMQ6ggVwquapFguhRrFrL7ehA9u5Hoj9B4f+m6DiK4FZKt8KjVrX9/4HH8d6ya5ok74IiKaISb+ezZz3Tz/9Yp16jLFVa7b6nS9SAKcWGJvXT3GtR9TWQtNxg/W+C7wJnVPnDmyOHvPNsgMCCCCQxQIEcFkMzunSBLJDERPvWajSY7uWtaxCuRtN35R7Q5mPxcs2usIbKqUdOMIFcHqh+Hz/ppgft7KAQ0amTVvzAri7e0+wWfPWhD2W1h5pDZIqWqokdqihl15tq+v7+JMvrEX74elT4GK+2Bh28NoC6D50P5GGAkw1IQ+XUcyJAZwKe5yQ5/hIt2+zpvSzyhVLuABAzZvnLVofVSDxy6+/+U3Ni2UNXOBFeV+wqE+Y1kb6vhBrLZm+ANC/q2BJsBFtAKfM3cF31ru+aOdddkeGKpKhsM4/L7+beqxAadSQjhEDuIjoPhvUu7O8zZsx0O4bv8iG3Tcn6l21Jm/10tGuxYLW1irrW792eZs9dYCrrKm+a6rIGesIFsAl4ssA32mnvtfkBXCq7JnZEU0Ap3Oo4uqIQe1dg/Oho+b6TQ1VtnXT2kmuKq++EOvRd1L6Zen348G5Q12Rlxde3GPV6vTwKwYV6vq99hNqITN34TrXyoaBAAII5BQBAric8qRy0XVmpzYCvqx6gSx+w1VWtsz17gVML6gaqvBYuUbXDBXywgVwepH79uMn3NSnKTNW+E2nCvcoNX1ImQgNL4BTDzD1Ags3vPV8S1c8bq07jsiwqa5nwuhurt+dhr5x7tBtdJY1r/WauEcKML0L96aEKpukNUnBhtoIdO/c0GWANHUw0vjm2x+CNp2OtF9W/1zFN1QNUdNZy1RqZ4+vm2zHHnO0q4yotVCxjMwEcPp9UAZFxwicSvji0wtMJe6vL900aCNoXWO0AZy2VaXW6lVvMVXDVF/DaIemzemLFgX8kTJw0R5T291V7zabNaW/DR8930aNmx/Lri7gfmbLbDelefnqLa54T57jj7VKNbra8zvDZ+JDnShYAKcKjjWrlQl5bWee8R8X8OjLp+deSPubEjj+/tts4PCZ9sF+/+qNvgGcgqJDv/wWk4E2Pu7YY9w6yWgDOO2jdYIqzqIm9579GafntQWzBluZ0telX4PW6iqbX+Kmq9yaTVUxfenlN6163Z5RB8hpjdtHuuczfPQ8NxOBgQACCOQUAQK4nPKkcsl1ZsdG3qFoNR1n4ezBrsx/sNLikaZQvvr8Yrdvj74Tbcach2N+gl4Ap6IfKv4RbnjbKuDRNDrfoZc/9ZBTI3EV/Lin3wNRrUOL+YLD7OBly/QyecEV1cMeWi/AH7+3IZGnd8fSy3P5qh0TftxEH3DGA32scYMqLuuqbKUX/CoYaNFuWEyny0wApxNdfun5rnKjgskri9VLLxChXmZqwl3k+vohA+xYAjhvyma0fQJ9EfQiHimAO+aYY0L2YfQ91k8/HXJrsJo3rmqTx/eyAUOmu+A11qG/HU9umObWBWqMGKNpyvNiPUz69rl9DZwvjD5zyli2bD/MTj31JFs8d6gr5qNpnt7MAQVsGzc/575o01AfNxVziWUNrz43H771iAsWlSlVBVYGAgggkFMECOByypPKBdfpvYj63oqm8GiaXDSVCRNJoOyCqo/p/4mrtL2+xQ82brqhiHsR09ALrPpWeSNSAKdvd2+vVCrsOi4d69S8J9nYkV1dE+VRYxekL+L3gjKVRr+uZJOQJd017fPd11e7l5tgRSe8htAq9qFWBFrfl9VD5dw/eW+Dy0gWK9UkbEZSxSiqVw2eWVDT4t7dm9jp+U51lRkVoGgKn6YYhhp6IdT0rKeffdVlUrPzuPbqS+2pjTPc2sQri9V3n0s9390vLHHNsVUSXaXRox2ZDeB0HmV6Xnv9Pb/iEu/sXumyHhcVqRmy8E8sAZymlh54a537jKvJ9vc/ZJxmqKBq05YXMvyuRhPAdWhTx31uIg29xKvtQef2dWzUkM7WuccY1yMs1nFb+RtdBk+fUw1l1dt0Hun39yOWY/6bAjjPpU3zGjZ6eGf788//ueeQVhH4FmveboiVvOlqa928hitUUqNeTzddNdahDLIyyZoaXOCS26OadhnrOdgeAQQQSJYAAVyyZDmun0C/ns2tf6/mfv+mlzVVJZyzIL4mxZklfm7rXNd/LVxlRE1n08uzRuGidd06Fm94687Uz0nFRwKH17RXLxlqBK5m3cGGFwjqZf2ya+qkV0/z7QOnb6OXrdoSdH9NI9R6JbVf0Eu/71olFZpQZTZNodTUSk2xTNXwKhd27zPRVf2MdSjQXTJ/mJtKpSmgC5dsMBVviVSAoFKF4m5d0mOPP2d1GvWJ9bRZtr16mW1eP9m99E+dudJ6DZicfm4FYloDpMqQygpNmBJdVigRAVwwAPUk03UWuLhKyGm4sQRwOofXTmDClKU2YMgMv9MqSFO/twL5z7CCl1VzPQu9EU0AV67MDS4QjTR2v/6em5qnv1cqbqEvRNas2xZpt/Sfq5qi1uO1aHKH+zc1kS55039dL0gV6Og3eGrYLxtCnejfFMDpCxwFbir6sv/DT6xBswGuiI4a2/tWofQKnxz8+HNr33W0a3Yey2jXqpaNH9WNCpSxoLEtAghkGwECuGzzKHLvhXj/jzbwDqMtKZ8sGe+6NK3v5optMvRZ08J59bVS4Q+tnzrvsmp+l+JVMHvv/YOukEKw4gReA2sFb41bDswQxHmV9HTgrj3H+wWzXgD3xt59pmICjVsOyjDNR1kJlcHWwv/A/XVMr5WB1olpDU40w2uEHM22sWzjBZpq/KwG0LGMWtVvNWUSzz4rnwvEGrca6ErWr10+LmIAp15/WiOogjRqleA7FKAnewQrix54TpWgnzaxt2uLsO2Zl61Wg952+LB/b7tyZa53gahe5pWxVrXRcD2udA4vgNMU4EnTlvud9swzTrUBvVsGrUIZyeS7T55013HK2be6bGGwEWsAp6qFmnZ8zNFH2bUlGvt9WaI+hV9+uMn2H/jUZaN9h28AV612d5eR1b/JSo3QvT5wke7J+7nXc6zpXbe7z6kyt9GM4jcWsdlTBri1b199/Z116DbGNWDPe8qJNm5UN2tY9zZ3GE3969R9bEwtS/4NAZz+hnVoXdt6dW9seU85ybWjaNFuqPuCIFQVSvVxmzimu/uCSu1J+g+ZbocO/Rrxcel4Gx6eYDeXLGp9Bk62KTNWRtyHDRBAAIHsJEAAl52eRi68FpVMV7W0wBFvFiaRRJpGqQBHjbT1sqyphR98+IlbR6GXSfVR0rQ1jSatB5vW5/gONSnWS6qGsl5arP/2uwesZv2e6ZudW+BMW7n4PlfeWlMYn352t+19+wNXibBY0cKu0bFGsB5YXgA3aPgsU8+z3t0bu/0VjOlFX/t6hVa0/929J/r1PtJLzVcHHjc1GY5lnHNRlagLAcRyXK01ee/11e5ewlUv9D2m1s717NbY9dNTxnbk2PnpLQ+irUI5YfTd1qZFzQyNyhWg//h5xh5nsdxTpG2VfVWQE2ooINW6UAULGgpuVQI91Eto1cqlXIVKveB+8umXbvpxuCmx8fSBi3RPuuZ9b6yxb7/70QpeWjXk5rEGcDpQp3Z1bPSwzu7lXQ5eLy/vdy1YEO4FcAryA4c+M7EHcEe4AkKaPq2MuJzDDX2u7+7cwNTPTr9zW7budF8UqPiR7/Aac2v7b7790U2HXbR0Q8SG3jpGKgM4FarR37VYh9ataaptNEVM7qx+qw29t60VOv8c93dSa9rUSF7PTyNcG4FqVUq5Jt/KCH/62dduvwWLHw3bRsD7vdC1aR3nr78ejvX22B4BBBBIqQABXEr5c/fJe93d2FRxMnDEW9QjGVoqmNG9y13WtkVN0zqtwKF1VuMmLba167cHPX3dWuXtnm6N7OILz3WBibJlmi7pO/TyNahfK2vbolZ6UQPv56r+1mvAA7Zxc8Z1ab4BnK5Blk0aVnFZKG+oyfWIMfODthlQQ+ZdOxbFzJasAE4XouDjrnqVwq4L1FTJ2jXLuWlomuKqoV5lPfs/4NfyIFgAp30ULCug/uPPP+3CQgVM2S29ACqbogDJG3rZfvvVFTH7xLLDX3/9z029DRyqnti5XV23jidPnuNcoKLiMypbHyqj5R1D0/HmTb/Xit94lfsnBXCachlsHZBvHziVSvcd+fLlNfXbC9YHLtw9eg2xvfViobaNJ4BTUK399Nw1/bBVh+Hu8GlTGptb284jbcly//YcvgGcfl+9rKSOofWDsQZwqpy4YfX9LrA664JKQW9P11mx3A2u2IyqGOp3/LfDv7t+jXoWoUb+s/O5qaL6ckhDmf2Zc9fYzLmr0wvEBNs3VQFcstsI3HDdFXbfsE7uSzTvs6wm3IGVZ/WMValUv8vBGnnrCw3NqNC0SGVrVa1VgZymWftOt9U5lGGdP2OQ+xvTd9AUmzw9uX8DYvl7wbYIIIBAtAIEcNFKsV1MAsp4KPMROPQSrr5q2W0oeFMQphcWvVBrPZpeAnyLlmT2mvUSonNcecWFbj2MvtUO9+1+YADnnb/IFRfaRRcWdFPFDnz0T1GVzF5fVuyvoHLn9rSy7EWub+A3TU7/pqBfWVsFwxp6DlqTtGDxhgxFXIIFcF3a17NRQzNWmnQB8PC0bGkqh6bM6qVfPasUQGooEFKzaDVcjnZo3z49mliPLnelZ1g1TXfarJWmNZleNb7MroFTFVW9NB/+/XdTMkTrDxW46CW5UvUu9sxzu0NecjwBnA6mAHXdivF2ycUF3ZTjteu3WfvWdzovFU0JnOIbzRq4r7/5IcN1as3hFYUvsB9++NlNQdbURxW8adaoqru/YE23tU/jhpWtQZ3b0r9IUcC4fNVm18ri3fc/iuoRajpst04NrOwtxdz2yjotWbbJHpix3N7fl7FpdioDOHlH+lIh2E3ruejvaqgMnAKpkYM7WpcO9eyjg1+4L7LUZsQb+hugDJy+jFE1z+e3zjU1Y9c02VDr3fT8FBAqQNbntU2njOt+leV7fecS++rr78m+RfVpZSMEEMiOAgRw2fGp5IJr8ooc+N6KijKE+3Y6F9x2Qm8hVACX0JOk4GDjRnZ1L+TTZ682fdvuO6668iLb8cRslxXSC/HD657K8A26t32wAE4FELTuSRkSvfQqUFZWRpmO7DC8huZq56DMmdbehAuCIl2zpvh27VjfWjWt7l6WX9n9tt1csW16sKtKe+qr9dLLe900YN+hF2xlqJT9+znEuiEFU2+9kjFDoaBKFU3DjXgDOB3zzDNOcwVqFIB6w+v9FXhOBQIqRqFiNfWa9LM9b+5zm5QpXdTy5TvVBQW+hX28/fU5UZ+7YGPDph3Wtef9fhUvleV5Y9cyN31ZQ58rrUVcvvqJqNZdBTuPpkArC1qrehn3mf3119/cFxsKenxHqgI4TQFX1dh4plAqy6wp0+GmUKoZe/Mm1Wz0+IUZpjE2vauKTZvYx7U+USZbAd3PP//iitgEe56+XpUrlrDGDSq7z6g3DVM/12dl7Iiu1q7VnWTfIv1x4ecIIJCtBQjgsvXjybkXt+fFh+zCCwqk30CfgUxVifVp5tYATlMkX9u51PIcf5xddk1t++77n/xoFDT4VvsM5aYphJPG9rCntu+y3vdOiZU3Jdtrym7DepVsxeotLgOQqKF1VZ3b13UVExX8JnJomnDevCe55/XjT4fcNOFdr7wV8RQPLRjumn237TIqrgbWCmhKl7ja9DKuVhrhWkVEvJggGxx5xBE2fHB7O+nEPC7jpkBDGW0FKztfeiPoITWFWdP9NB1VwXKihgKZLu3r2qeffm3jJ6dVvfUdur7nts5xa3VLV2gT1Wk1hVTTCl/bsy/mHnQK7h9ZMc6tAVZQHM9MhDNOP9WWLRzh1vvVbdw3qmv23UgZ2CXz/ul7qEI8qlicmX5tCr7ffnWl+xxfdUMD1r7F/FTYAQEEsosAAVx2eRK57DpKlbjapk/sYyeffKINHTU74S9fuYwr6O3k1gDu3/DsuEcEEEAAAQQQQCBZAgRwyZLluAhkUoAALpOA7I4AAggggAACCORCAQK4XPhQuaXcIaAKhYXOz2+bn9jpVz0xd9wdd4EAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRYx8EEEAAAQQQQAABBBBAIAUCBHApQOeUCCCAAAIIIIAAAggggEA8AgRw8aixDwIIIIAAAggggAACCCCQAgECuBSgc0oEEEAAAQQQQAABBBBAIB4BArh41NgHAQQQQAABBBBAAAEEEEiBAAFcCtA5JQIIIIAAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRYx8EEEAAAQQQQAABBBBAIAUCBHApQOeUCCCAAAIIIIAAAggggEA8AgRw8aixDwIIIIAAAggggAACCCCQAgECuBSgc0oEEEAAAQQQQAABBBBAIB4BArh41NgHAQQQQAABBBBAAAEEEEiBAAFcCtA5JQIIIIAAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRYx8EEEAAAQQQQAABBBBAIAUCBHApQOeUCCCAAAIIIIAAAggggEA8AgRw8aixDwIIIIAAAggggAACCCCQAgECuBSgc0oEEEAAAQQQQAABBBBAIB4BArh41NgHAQQQQAABBBBAAAEEEEiBAAFcCtA5JQIIIIAAAggggAACCCAQjwABXDxq7IMAAggggAACCCCAAAIIpECAAC4F6JwSAQQQQAABBBBAAAEEEIhHgAAuHjX2QQABBBBAAAEEEEAAAQRSIEAAlwJ0TokAAggggAACCCCAAAIIxCNAABePGvsggAACCCCAAAIIIIAAAikQIIBLATqnRAABBBBAAAEEEEAAAQTiESCAi0eNfRBAAAEEEEAAAQQQQACBFAgQwKUAnVMigAACCCCAAAIIIIAAAvEIEMDFo8Y+CCCAAAIIIIAAAggggEAKBAjgUoDOKRFAAAEEEEAAAQQQQACBeAQI4OJRY59cJ3BDsSvtzbc+sEOHfvNh2qMAACAASURBVA15bxcUOseOOOII+2D/JyG3OenEPFb48gvspZf35jojbggBBBBAAAEEEEAg9QIEcKl/BlxBigUWzhpktWuWsx9+/NkKX1vX/d/AUaPaLbZ47lAXwLVoN8yWr96SYZu8p5xkb726wvR/V6150pq2GZLiO+P0CCCAAAIIIIAAArlNgAAutz1R7idmgf17H7EzzzjN7Vfxjs727POvZTjG2BFdrEOb2u7f5y58xLrcMz7DNiWLX22b1012//7lV9/ZBVdUj/la2AEBBBBAAAEEEEAAgXACBHB8Pv71As0aVbX+vZrbs8+/bs3bDbW///47g0nhywrZ7Kn9XQauXZdRtufNfRm20c8WzBxoxW+8ykaMmW8Ll2z419sCgAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0dDAAEEEEAAAQQQQAABBJImQACXNFoOjAACCCCAAAIIIIAAAggkVoAALrGeHA0BBBBAAAEEEEAAAQQQSJoAAVzSaDkwAggggAACCCCAAAIIIJBYAQK4xHpyNAQQQAABBBBAAAEEEEAgaQIEcEmj5cAIIIAAAggggAACCCCAQGIFCOAS68nREEAAAQQQQAABBBBAAIGkCRDAJY2WAyOAAAIIIIAAAggggAACiRUggEusJ0f7f4FSJa626RP72Mknn2hDR822eYvWY5ODBY4//lgrWOAsO/TLb/bpZ1/l4Dvh0hEILnDEEUfY33//neN4zsl/hp14wvF28JMv7Lfffs9x188FI4AAAgjELkAAF7sZe0QhsOfFh+zCCwqkb9ln4BSbPH1FFHuySXYUmDimu7VuXsP6D55uE6c+FPUlnn1WPmvZtLp99vnXNm/Ruqj2Oz1fXqtY7iYrfuNV1r3PRPvjjz+j2i8rNjr22GNsxxOz7aODn1uDZgNCXtsJJxxvO7fNt48+/tyq1e5h//vf/2K6vMsvPd8OHPzcfv31sNtvzPDOzqRRy3vtjb0fuH+79upL7b33D9rPh35NP3b/Xi3sllLX2six823bM6/EdM4jjzzStm2a7oL0yjW6xrRvPBvrOe/cvsBe2f2O1W3cN2zwpODq8UcesLx5T7KmrQfb2+8eiOeUQfe54Pz8NnxQeyt6zeVWqnxr++bbHxJ2bB3oqKOOsqc3z7SNW563CZOX2iGf5+V7oiOOMJs2sY9dcfkF1qn7GNvz5r6oruPuTg3c9Y+duNgGj5gV1T5shAACCCCQswUI4HL288u2V3/g7XV2er5T/a6v972TbcqMldn2mrmw4AJXXXmRPfvkHPdif+l/77Sffv4lLNWZZ5zmXobr3VnBat5Rxo455mj766+/rEyl9vbK7rf99j3j9FPt3AJnWoFzzrQrC19olSoUt2JFC5uCCY1QAePc6QOsQtkbE/rInt7xqjVqOTDsMUsWv9o2r5tsr772jnvZDzUqVyxhq5bcZztfesPKVukQ03XeWaOsLZo92PoOnGoPTF/u9n1wzhCrVf1Wu7liW3v51bcs33/y2ms7l9pbb++3CtU6pR9/5eJRVuW2klarQS97/IkXYjqvAo0fP3/KfvzpkOW/sLLfvvNm3GsF8p8R0/G08bff/egC3WCjT4+mdm+flrb+sWesftP+YY99+aWF7OVnF9kPP/5s519+R0KDei8o1+dv9dqt1qT14JjvM9wO1aqUtmULR9gXX35rl19bx37//Q+3eaHz89vHn3xpf/75l/vfClK3PjbNrr/uCvdMn9+5J6rrOOXkE+2d11bZEWZ2xXX1nDkDAQQQQCB3CxDA5e7nm7K7a9Oipk0YfXeG8/fs/4BNm7UqZdeVjBNXrVzK/nPaKfbcztft/X0fJ+MUKT3mprUPWOmS19iEKUttwJAZQa9FwVrtmmXt2qsvs/xnn56+jYKBh1Y8brPnr7W33vnQ/bsya7On9Ldz8p9uxx13bIbjaZ+ntu9yAYj+8/kX32TYRpmmG6+/MqJL2VuKuW22bt8VcVsFl4NHzA67nRd0jBq3wIaPnhdy2/vv62ZtW9ay+8YvtGH3zY14bt8Njj76KHvthSWWJ8/xdsV1dd20uMAAbuqEXtasUVWrVL2LPfPc7vTdFeQo2ClyfX3b/+GnMZ03XAD3+s6ldtGF58Z0PG2szOvFV9XKsJ+C+nd2r7KzzvyPffnVdyGzXg8/ss1GjZtnIwd3tC4d6tmff/5p333/c8jreH/fR1a+6j8BbbQXrC8cnto4zWXLFPxufnJntLuG3U5B2fpV99utN19nw0fPt1Hj5rvtNTtBsxT02b6oSE33b/EGcArchg1qZ3d3akgWLiFPjYMggAAC2V+AAC77P6Mce4W97m5sg/plzFL06DvRZsx5OFvdl17cNBWpXu0KdtEFBVzWSKNu4362cfNzYa/1+afm2X+LXOymPc1/8NFsdV+ZvRgFZJoyqKyBvt3XC3mwsXjuUJdt07f/u155y156+U17cddeF9T+8stvfrtUrljcVi0ZbV9/8729/c6H9tHHX7gpiQc//sLeff8j2/nSmy5jl4jx/adb3WFOPadsIg5nj66e4F7Gb63c3l7c9WbIY3pTiAMDrGgv4q56lWzWlH7mZa19AzhNtdu2aYatWrPVmrUdkn5IBQBff7TZBQKnn1cx5mmb0QRwygB+8WXGgDrwvpQVeumZhSEDuI5t67hpoT///IvL6Cro1zRTZaR8x8o1T9qCxY/aS08vMGXKlPnUutpLLz7PfvvtsL35Vtp0Um8c+Ohza9xqULTMftvpb5X+ZimQL12hTVzHCNzJyxzqWgsXreuCVY0WTara5PG97NGNz1i9JmnZx3gDOO2rdXBv7lpmhw//ThYuIU+OgyCAAALZW4AALns/nxx/dV7GIvBGtLZp5tzsE8TdN7STdW5f112mvuXXdEGNZm2GRPw2PjcHcNMn9bEmDavYgw89Zu263Bfy8+gFcJoipkAs3PACuOGj59qocQtj/owruLmg0DlR7de7exO33ej7F0W1vbJWS5Zv8ttWGTEFN8ccfZTt3/uIHf79D7v06jvtr7/+WdemANcrgOFlVxS4Frjk9vQpc1FdwP9vpCmk0yb2ssXLNtqO517zy8D99NMh69ezufUdNNUvoNa6uZeffdAFRctWbQ55uolTlwXNzkUTwClbFCwjGngyBXCffbAxaACn4Ou5rXNNhXG01u65nXvshW3z3NqvGvXusS1bX0w/nIKatcvHWvlbb7DZ89dYt14TXNZW6wsvurCAVbyjc9iphgr6NEU3mnH8cce6c52T/0z3ZczTz74azW4u6PSmRfruoEB7/Ki0TOyipRusfdfR7sf69/kzBlntmuVswJB/1pRmJoDTMfW72rhBFbJwUT01NkIAAQRytgABXM5+fjni6vv1bGaa8hY4uvW6302tS/XQC+EX+ze5rNv02attxJh59t33P0V9Wbk1gNNL+AdvrrU8eY6zG25uliHb4QsUTwA3Ysx8V2wj1qEpad7UyFj3jbS9plpWq93dbzOtZdOatnBDmdoNm3a4TTq1q2Ojh3WOdCr3812v7LVbbmuXvq3MO7VL+yLBd2j9W+HLCtn8B9fbp5/5Z0FXPvyEvbfvoDVuUNlmPNA34nnLV+2YHvQoc1y1cmm3z5FHHmF972nmsjjjJi1x//b6G+/Zoxt3mDeFMrMBnIJhZQ+V2Z278BHrcs94dx5VrX38kckuE1usdNP0Qh+nnHyCrVx8n116yfl2bfG77Psf0qZP3lKqqD22ZqK9894Bu6lMi5BB8nXXFnYFRJI1FLQrKxm4tlPn07N89/XVdtKJeaz4rS3Si5IoUNv3xhrTWtFyt3d06yQ1MhPAaf8iV1xkO7fPNwX4l15d261lZCCAAAII5E4BArjc+Vyz3V0pY9C/V3O/69LLj4K4OQseSen1epkL9xIUx9qh3BrA3V6plK14cKTLqCmzFm7EE8CNHLvABcuxDi+AU6C15833w+7+/p60LG+wdVi+O1515cVurVK4AE6ZJwU3vkOFek48MY+baqsATsGupk9qSqAycKHK0h911JF2/PHH2Usv77Uylf4J4Aqee5a9/WpshX7qNOprjz3+rE0ef4+1aHKHTZ250nb6TO+8vVJJV1BGX5Zovdy2p19OX3PWqH5lmzk5dNCnbGSbTiPTAzgFKsGyTYEPQYFasaJXZMjAXXzRufbI8nHmfl6qqV9BHBWmqVa5tLXvNtoVE9FQUKrA5tkXXrd9H/yzvtTLOKmQjbLkvusA/Z/rRbZ80Ui/yytwzhl29NFH2yef/lNAJNJnUM9K6/V0777TiPV86zXpl14Z1DuO1qUNHtDG7unayLY987LdXuuf9cAKxHftSMsI6/Pk+xnRl0m6X50nWOXSdRt2WPN2/0yb9b1u7ff2qytcQSBNy/S+UIh0b/wcAQQQQCDnCRDA5bxnlmOveEDvFu4bft+hlxd9Cx9tiflk3LyqvikroJE3/63pVeGiPVduDeDGjuhiHdrUdtP42nYeFZbDC+BUOe+3gCDH21ElzrU+zptCGU+BDx3LC+BKlW9ln33+jcveBI533j3gMh6+a+CuvuoSu+Tighm2fWr7y3ZewbNsxxNzwgZwmu4XOK1O1RkVHHkBXM9ujWxw/zYRq096awu1jk7r6byhF/jiNxRJ/981qpWxVs2q24GPPrNC559js+atsUce3e53D7pPlb5/9fnFbm3Yf29s6BfsjBzSwbp2qJ9heqIOctkl51vZMmmFXjRtU+vStF5rwNC03wc5KqhNZBETBbmFzsufXtTGu5m8p5zk1j56bRF0PT99sc0FOCefVSZDMKwpmL///mdMa/28wK9R/SrWvusoe/ChjVH9mg/u39p6dmts02attp79J0XcR9VKN62dZEcceaQNGjrTxk9Oy2jq/F5BFt1XYIDvVV8N9jPtv3b99pBr/HTsmZP7maYYq2WLWrcwEEAAAQRypwABXO58rtn2rgb2bWXeuiTvItOCuHFZ2uxbvclOO/VkdwkFzz3TWjWr4f770FFz/NY2BUJ++90PGa4zmgCuQtkbTC91qnanipV66X5tz7u2cfPz7uU81NC3/rq2a/57qQsy9M28MmIqEKIpaJFK+mfmg6DpWJqWpQxM4LqwwON6AVy483ml7b0AToHh3IWRe8P9+OPPfn2/fAO4M04/zdYsG5vhtPdPXmr3Dp3hF8ApOFHxjMBR7vYOLhOS2QDu+Z2v2xu7lrmpcyqCoYIboYZaJWx/fGbYQE9l7Z/aON1WPPyEKbjRNEoNVebU2qm9b+9PP7wCNwVwGloX9uzzr6X/zAsyryvZOGz/tGjWwCk4DFwDV7VSKdM5Vj78pHXsPsbvlvW7HVjExttABsoYhhrKKGn9pcaipY+FzGaq9/b9k5f4Ba3hPocK5LUG76139rssYKShoFoVM/P95xQrWqKxm64abuhZaU3feQXPNrUFHzhkht0/ZanbRb/Pb+5abscdd4z7jOx+/d30Q2V2CqUO1KRhZZs+qa+9tuc9K1G2ZaRb4+cIIIAAAjlUgAAuhz64nHzZXrU333vQi16n7mNdxbmsGIGNxqM9p9bc6CXOd4QL4FREQSXlmzeuFvQU6mvVot0w27Tl+Qw/18urGmgHK7WvjbVvvcb9Qk4fi/aegm2nc35zcIubzqX71X2HG14Ap55fgS/4HVrXtjq1yqX3JvMCuGivL3AKmm8A9+pr/7wABztetFUo1RQ7swFc6RLXuEI4+gx3vNs/kAm8thuKXemCM2UstSYtcGiq4dpl40wNwYuWaGSTx/d0AZyCUmVFtX5KQY1aGchbU/WGDEirnBg4NXXj2kl2c8lr7cxCt4VsIq39ognggq2Bu+P2m+2hBcNt6YrHrXXHEdE+Vqtbq7zNnxm+7140B9PfDgWtz73wejSbu8+0smP6QkXTTyNVmW1Yt6LNnjrAnnjqRate956w51AWbM60AVa/dkW3nW8Ap5+NGJyWDQ3Wby4RAZwKwaj6p6Zf5itYIarprlGhsRECCCCAQLYSIIDLVo/j33MxetnUS6fv0IuYXnwXLtmQdAj1LFOmRENT03p0ucv99649xwedkqUXblV4iyWA03SoLesn2003XOWmuA0cNtMFW19++a1dfFFBq1+7grVvfaebuhZ432VKF3VTBfUzVRRct+EZU4ZHlQ+VFevdo4kr5KCy/Tfe0tw+/eyrhJppHc27r6X16ytwcZX04hGhThJuDZxX4TMwA/fB/k9c2wDfoayFXkJVzMLLMGmdm29/NhXeOO3UU1xDa5VPb9ro9gyXpabcylT5BnC3lb/Jbi51bYZtlyzb5M6nghffff+jvf6G/7o6r4hJpCmU1aqUMgUzV9/Y0L76+vuwz+OmG4rYkxumuaDDtxG3dtK6tPGjurqiOg2b3+uCe982Ah8d/MwFCarMqKnHnXuMcy/tctOLu6ZlqjiGN5SZU8BX4OKMTr4XGS6A07o8rc+78MoariG174g3gFNxj7POyhfS6agjj3RZRf1duLZ4I/ufUm0hhtazqV9etMO7ZmUqFfyFGgqqFGgrW6hpslprGG7oi4oFMwe5RuMqTlKyxDXpGTg9A2Xfjj32aJf5C8zkJSKAU4P3j95Z78xUyCTRfxei9WU7BBBAAIHkChDAJdeXo4cRGHpv2/TAydtMLx5N2wxJL2KQFYDRrIHz+nLFEsBp7dKksT1c8KYgK1gPtTtrlLVFswe7/lCFi9ZJfwlVE3Q1Qw9WVEMmyuw9++Qc99Leb9A0mzRtWUKpNGVTx1dLhbz5I/dQiyeAGzPhQRsy0r9xtmc2Y85q69E38lojBULjRnbNcO+anqleg74BXLtWtVxwFDj6DpwaNosZbQD31NO7TEU1tEZNrQQ0lS7UNEplfzavm+ymOvoGEHrmevb6zKg4hjJ0GoGNvPVvmg66ZNlGF3iuWznebavKg+XKFLNzLr49PdumCqv7D3xmN5XxLyIU6BAsgDv7rHwuw3fw3Ufd1F/dW+Aax4IFzrISN/3XTQV+4f8rKvoe+9nnX3fTfWMdkdbAxXo83+11r3teXOqmOZat0iFkTz9NeX5myyz78MCnVuT6BiGncXq/k/v3rrW8p5xsXe4ZawXPPdt63t04PYDTl0BPbphqi5ZutI53p7UU8B2JCOB0jO8/fdJlU0uWa+WmUjIQQAABBHKfAAFc7numOeqOhg9qZ3d3auh3zfrW+JL/3pll95GMAE7ZhTd2LbczTj/V2ne9z013CzX08l2uzPV2T79Jro2BhrduSdmXOxv2Drqrsgj6j9bSqWhBIoeyO4+sGOde3jVtLtJIVQAX6bq8dgMKhOMdXgA3duKDrvG471DAdeP1RdKLmOhnRa640K1v+/GnX6xU+dau2mHg0JRGTW3cvuMVq1KzW/qPlaVZvXS0NWs71G9Nl1oT3FisiA0aMcuUufQdmr6oz0HN+j1dRnLqhF5Wv2l/W//YM+at93rs8eesTqM+YQm8AE7rKrXuUU2tVbRFXxAoEPaa28fq6FsER0HtaaelrT2NNHQ9Kp6iL3W09i5YVcZgx/j22x+jKqHftUM9GzkkrYz/bdW7uKyZ71AwpGd/W4Xidu+Q6TZhykNhL1nbv/j0AlNRnF4DHjBNFfcN4LTz3Z0amJqTBzYs188SFcCp8qrW2tWo19NN+2QggAACCOQ+AQK43PdMc9Qd5dYAzutTpZfOcy6qErbYiKZRKoukl2VN09PwLe+uhufKVkXTQDlRD1+Bj6ZwaipgocKhC01458uqAE4Ztzo1yyXqNoMeRy/YL7yY1ptLI9Y+cNpnxgNpTZWVgdMat8DpfZ7vk9tesjvq9Ah7P316NLVbShd100i9nmG+Oyj7NXJwB9eOQF8YqHffpi0vuICte+eGNmxgO1eRMFKQr+DvvdfTvkDQUOCk/WbOXeMCOH0WqtTMmO289ZZirnqlphcOGj4rw72op6KXfe7WsYGNGPxP1c1EP0jNslSVSO+LkHDHVxZbWVB9gaNp2x26+WfFlLFVI+633/3QBeK//no44uVqmq4akev3PlgAF+4AiQrgPnzrEdNUSrXZeOrplyNeMxsggAACCOQ8AQK4nPfMcs0V68VSL5i+I7dMofSmAiro6n3v5LDP7PJLC7n2Ch9/8oVdds0/VRJ9qybqhXDnS2/a5idfcGuiAtdpJfpDoXVmKs6i855y9q1hp47p3MoaVapQ3GV+vvr6O7/Lad/qTqtd07eISQkXFMUzhVJVC9XvLJlDa8p821p4AZz+bd8H/tmvuneWd1ku30beujYVgXni0Smu6qjWMLZsP9zvkvWi//BDY9w6Pa0N9IayTqp26A1NI3xh23z7z2kn2/Wlm7k1er5DVUnV3Prkk05I/5Jg09oHrMRNV7nPknqrKdun/x4sE6hKl9WqlLYqt5Vw16ogQr+Dqnw5ftIS17xdPe2U1Xnm2d1WqUaXDPSxrIGrWO5G07ThzA5Nada1PrRys2s94DuWr9riph5HMxS07nhitp15xn9c1mzarLR1n1pnuv3xGe4cCozj+X0LFsDpi51QQ0VOxt/XzS67pJC7ljf3fhB0U1XCVRXbYEOfH02h1HVryuwbIY4RjQ3bIIAAAghkXwECuOz7bHL1laW6iIkvbjKmUHqFO2J5iHpx/s+55f0qxym70q5lLatQ7sb0ois6pjIampqmF06tn0v08F7addzzL69mX3/zQ9hTeC0Hwm3kFTFR3zRNER0+eq6NGrfQb5dIa+A0BU/Tw6IZo4Z2dEGlWkOsWbctml3cNirSoQqf3oh2DVxg4+RzC5zp1hGq2XfL9sNs2aot6cescltJW7l4lMtaqRKiNzT9cuf2BVFfq2/W1tvJq+6oKZ+qeKhS9b695nwPvmTeUFOvOQ0FeCpeo3V0+S/8Z62gN91T69jUszFwVK96iy2dPyzmKpRR32TAhgpOfvhsqyvwE/j7Es8xS5W4xjasvt/tqiqTL7z0plv3VviyC6zPwMk2ZUZsjdW9awgM4LwpqvFco+8+4aZV63dDGVj9LVHz+qzM2mf2vtgfAQQQQCB6AQK46K3YMkEC2aGNgO+tJCOA63tPUxvQu6Xt//BTGzcprT9XNEOZj2B9s44++igrfsNVVrbM9aYshoqMaCjY0LTLSGX+ozm37zZa76Q2Anrp1Df5ob7x9/b5dN9jdkKe491LfKgxbdZKlxFQqX0FuCoe8sD05X6bRwrgor0PZVb2vrzcZacuv7Z2TBUKA88RbwCn43jZqe9/+MlVHvSmEnpBz9r12+yuFv+U0lelx/uG/lNBUtkxBSpaz+a7Buzkk0906yaDrW3TZ0VVIxU46jmGmz6pYFrTUvW5e+nlvfbDZ09lCOC8rGfP/mkZKq83m+ekpuRaC6jpnYFtQLbveDVsn8Non6fvdokO4HTsjm1r25jhXVxV121Pv+xaNgRmR2O91sAATs/xwTmDwx7m5lJFXbEYBebffhv8S5Pdr71rY0P8TfEaxP/xxx+Wr2DFDNnJWO+B7RFAAAEEsqcAAVz2fC659qqySyNvX+BkBHBqU7Bw1mD3Qljw0qoJf56a4rhw9mBTA+d9H3zsijwkemzbNMOtD+rW636bPX9tyMOrYMsXHz5ub+zd56ptRhre1FllcwKrE0YbwKk/msq7hxpq0u5lk9QiIJqhdVDeFDrf7TMTwOk4s6f2t4Z1b7PxDyxxrSQ0vCyZpgC26uA/vdI7d807ypjWFi5fvcX1CvQd6g/YunkNq31Xb9cMPnCoAIkCCI3LrqkdtGhG4D6h2giMGtLRunSo59bqac3eoa+ejobTbdOk9eCgFWV1zAsKnRP1cQI3VGCroazn//6X1l5AWSf5Rmq0Heykgf3b9MWIvrjITHY7FWvgvHV7L7y4x6+VRNzQ7IgAAgggkC0F+er6XQAADpFJREFUCOCy5WPJnRc1oHcLt9bLd+ilSy/yvmuOsvrukxHAedX/dC/X3HRX2JdKFSwpW6aYvfX2fhs7cbEpg/LAuHvcOhZN/wvWfkDH9XqJ6b9fWayefXjgs4TSedNcNf2wUcvQDZcLX1bIdu1YFPUUullT+pnWMAV7uY82gPOCRq1/+uZb/3VhKuQhu8CX79Pz5XXZLBXj0OfOGyfkOc5OOukElykNVoQjswGcpn02qFvRFQPxzqss1vRJfWzeovXWucfYDM9NmbNXnn3Qzsl/ul19011+AVjxG6+yLeunuKxo8VtbBH3mXj8yVZQsfG0dUyGRSCNUAPfEo1NN5/QCQQVw+mLCtzdf4LHvuL2061MXKoDT1FIvixzpuqL9uWzV/y5YoZdIx8h7yok2YUx3U0ZS45dfDtvA4TOiKoYS6thZHcDpM7947hA3JXb0/Q/a0FH+LToiGfBzBBBAAIGcI0AAl3OeVY6+0n49m1v/Xv7ZGb1wKbszZ0HsPaISiZGMAE7XpwyRej+tWvOk620XbFx04bn24vb5dvzxx/llup7bOtcVxwiX/brkooK2+4Ul7rCFi9Z1zagTOaKtRFm5YlpRkmBTIoNdz9rlY12/NK3LUtNp3xFrAPf+voMuwPEdn+/fZHmOPzZD/zpNqTz/vPxufZfWeXnDqwKarAAumIHX700ZP01NDBwd2tS2sSO6uJYBvQZMts1P7nTT4a69+lJbv2qCKeisUqubX7VM7xhqRfDi0wtdRUoN9W5TQ/BII1gAp2b3B99db4cP/2FnFrrNHUIBnD5r+syFGl6WNVQAp6BWX1R4QwFrYBn/UMdWoKJ+a/q/ajeiQi7e0JTZwKImke67TOmiNnNyXzu3wFmukNDTz+52GVMNFUNp1+W+oAVgIh03FQEcFSgjPRV+jgACCOQOAQK43PEcs/Vd9OvZzPr3ypgpiDQ1L6tuKlkBnNajqBiCXjRVsEPfivuuY1Kp72ULR7gmyJoGWaJsS/v50K/utj0zZZ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",Gt="data:image/png;base64,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",Ge="data:image/png;base64,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",ie="data:image/png;base64,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",ue="data:image/png;base64,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",M="data:image/png;base64,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",Ie="data:image/png;base64,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QVug8AiTGQyqTe3Gr/TL0VKeCAw+Hu0xmY9Gu0bWKInpISqCdXYHTrO9RPtbf/0z0MXpdL14A3XRZYv6zmmS7zyWvS+h5imaQcOhW67mfv9Q26te00n2tVP9g2yodSbW0M3L2IeTK5DFQKLML35cHr7jjzeH4+n3tyqnHWmXFXRHV6nHImo++tFKt3zv9zr7XMNXlVZMmX0IEvTtLp6MUSecsaE1nI4+zq6ONGu/v0TputMUTyzzzF+Q1A/clRrbB7k/entO7Tmw/LECeZ2PDgGgUVY5uPd2qFGo++WJO3AobZv38VLI3L5GKmqUh43VpkyWamZKk86TR5fLY0qk8JhdX89U9WeIOM+b/Y6RDotdN3oSaEQ8qSJ/su/yBUl9309SdIONSZe+m/GeZ8Q5IzJMhNCKh/jmTPr1NX2+d+seFIPHtJPnBgksLRDjZmPdyOw6EJgEZb+4END9wd7CCHSaXHkqN5yhO36G2OMSRLzeKRwSBpVJo+rlieMT3/4Ud8xVn1+/CKeyGPuP133nHl62cr7BjwP5Tz15p+Tb2wdqLWeGWcoU6f0vKDure38zX+JRKI7knThn//lwIKret+we4+IxQcJLJFMpT/40H/llwr9UYBNEFhUiWQys2Nn/osJxhiT+5zl6W0n9ONt6r46JgST5d4fPOc8FOyzdCwm8p2sdPCxqQP9jRBMUQJXXymVRnpeS7ywufPRx5jouqYmmCR5P31eVke0zK7dTNNyXnHvkdmxUySTxq+LgavkEVi2VUGwYl4M295pxfiJnFvXW4/l/bSzokiREhGLi1Sqz0jRfoNFszfc9+BI7+hkeT4WM0y6rpx5uv/qK3pfaDuRfOX1rl507Slp9CjPWWf2viEazezeM+SK1b21euuxwW41DsW2CU2cnZnCtqIUecERFlVqwwHtaGseC+i6MmVS2cMPiERSO9SoHWpUDxzS6hu0I0f1Y20imWSZDBOMSVnhJUk80mcYhIh2iIya32MxgxtoVUJ4Pz1XmXRazwuZ7TsyH+3qbZsQ8tgqOesNWlOzdvDQkM8MaUdb1YYDZgILHITAokqt3S+iHXksIIQ0epT3U+dJo8q6X0ilRWen3npMa2pWGw6otfvV+gPq7j2Z3Xt6Hh6USkuz16G3nRjOg4Enpf705/T/fsCknlNOSd1XK9JdNyX7/YPMpdKSnvQRGTX+x436ifbswFKmTZVGj+rdIX//RD/eNmSYimiHWrvfN++Cgn8iYAMEFlXqvrr8ihYIIZWEs0dFcZ+X+0ZLY0YrZ0z3nXxPfN1zbd/8btdYBK7I2eM5GWPakaNM14d+8nkAiU0vd/z8l4xLJ69ddT/003/wBOt/bSvz0c7ky6/1eUmWvZ+em30pKv3RLpFKDdk2oWY0KypbgC0QWFRp9QfyXYSXlAwxZpJzrflwdw4Kwf3+7GveTNf1I0eMloXIxTN7ZuAr1/E+mSKYzxf4yrW5joxOjlZNp2NPrtYam7IPr6RIxPuZub1ricUzH+401DbB1Px3HbgEAosqrdHYEzk9OJdGj+LyoAcgQmj1Dd032oTgoSAv6z0lFKqqHztu5nnm0C2LgzfdcErDJN7/gWTOOJfC3ZfPUlu3JZ57oU+i6bo8ZZJy5unZeyOzZ6/Bi2taIyaypwqBRZXediK/BSQp/Zf3o//678q0GnnSBLm6WhpdJoVCvbXxGBPxhLq/oXeJsrLsi0QintBaj5l6nlmWuTx0dRqhaUywrrIKasOBjodW6a3H+p3reT8zVy4f031IxXnmk3264SJZelubiT6Ak/IILGdnfLDz1qkZtg2A0Nvb821ZZseuzI6dzOORgkFpzChp7FhlyiRl8iRl+lR5XLVUVck0TWts6v7ZCyFPGN9zmMMYEx0d+rHjhbxFOFDXWg4zXWNcUusb2u/5SWrbu/2vTMlyZuff2u76IdNPBtbHu0UyaTSwcu06275Lzs5yYtvvyKIN4QiLKtERy3sZiTPGmabp0aje3s5q96fffofJEvMo3B+QIiVSaUStb2C8Ox2UaVN5VmkXrblFb80zsPKq7sAYY0zd35B85XXGeeqtbcmXXhlo4rL0O++ls+vqSJLxWwHD2XXgDggsqkQmPfyF+40+VzXR0aFFo9qhRiZJ3Qnj8XjOOrPPk3r7G0RHNJ/A4npbe+qd97jPa/DKl360Nfbk6vT2HUySUlve6r4jKQQvKQl/8zZ5fLXQdc640NT46nV9hmXZtuvAUQgsqkTGwCMyeR2BnzwT7PqvFClRzpie/feZj3eL5FDjBrLjTJbS23ccW/T1PI6x0hmRSPYO1OralhBSaST09SU97RGpVGrL28N5Msn4rgNXQmAVL865z9f748+LpnvOmenJCiyRTKqf1HK/f/Ca7iKj9j4d3dUAzvOolOz19taHEEwkEl3jVLnPx/xZdbXSGZFIOLRbwUkILKq4RxGDDDoXQopEIivuVaZMEnr+VzqFUCaM7zPHjCSF71wa/NriQU4JucRjT61JrN/IZIkJIZWVlj74U+X0acOZTJBzEU+0/+S+zPsfMsZ4KCiFQj1/qcfjejQ67ALMHGXdycInRxX3eIeoLePz+i660DPzrMJszuv1fW7ox1lS297rPQ/1eLxzZnlmnzO8LYrOmFRa2lXuVCorzb78Lzpjoj067AEW3OMd5pLgNEsCy4q7pC4cwWCFPEaElIRYx6DPEgphbtKaYenb1OEc3GUtffKCGpPHVmXPnSNiMb0zNuwBFrwkNLwFuxe3ax4HF/6OrKg/kVeTMFU9Vf0eS87N/hlS+KD/O9x1yuOqedZDRfrxNpFIDnt9hnYduBJOCamSRo0a8j0ik2GaJvKrr8C595TnDVV1qNLsjDHGJalPLQchWEY10gAuyQNfyxdM8chTJmW/pB05KmIxpmmMc2Zg6Pwwdh24EwKLKnl89WB/zbmIdrT/aIUUKTU0uIGzrnKjodtu8V/+xey/UffVdqz8hX7ixBDHS5wxxjJ/29NdzpRz0dHR/uP7pNIhGiCEHvjSpaF//HrPgInUn7fFf79WpNPqnr1MkngwoNRMyV5ECocDV1/BGNdjsfT/vNdbNLkguw5cDIFFlTJ5Iht0wIBIp1NvbDU+FEvoeuCqL3tmnd3nxXi84//+R+y3vzfarKwR5yKVTr2xZYjDK86ZEHL5mFBWO9VP9sV+t7q7XjNjckW5Mmli9kL+L1/q++IljDMR7Tj29aWp1/6Ux3EWZ8rkiUbfDC6DwKJKnjaVK54hSmIZ/xlrmnfunNIHfypXj81+ObFhU/zZ57sLvZ+afYMf1wghjRmjnD6NDVgigov29szuPUyS+xy+SZx5PN2DIXRdHlctVVb0WU5RuMIYY7x8THDhgtSWt42PnOCKR5421eTOB6cgsKhSaqbwSIk4drwA69J1efKk0gdX9BsDkd7+UfShn4vOTibLgQVXej/7aSZO5gKXUlvfSr765mCnibrumTNr9G9/wwP+nEeCXJaTW986/rWlg48sVc48XcqesFqI7KD0XXKRMnWy+sk+g4/p8EiJUoPAosq+SSiMs+22scm+G2+8FVMMKJMmyhXluvnA0nV5bFXpA//iv/TiPi+3Hove/1DXVSSmatznC3/7H7MrfPo+d37mw51ay5FBBtNzRZFKI4NMNy2FQkMcpnm93s/MzQ4jtW4/D4XlsZXd+6Fmiv/KL3UOMuFzX3JFeXap+N6mWvCtM/m1Mfnjsq1HxhtvHoY1UCWVj1Gm15hdi65LY0aXPvAvweuvyQ4OkUp1PPLr5CuvdyeFxJNvbEn/dXv2op45s/3XXJXHYzfDap5cUe6dOyf7tcSml1Ov/ylrR0iBa6+Wxow2eLVOmV7TZwQ/kILAoor7/cMeRN5N16XKitL7fxJc/NU+51NCxH+/tvM3/5U9FZjeeiz+hz9mT0rIPZ7QLTdKVZVmiiYPeRXMc+45ytTJvS8kEqktbyde2CySveOwvHNm+y660OBlLM/sczApIV24hkWY97xzud+X3+TPPbrOBB/8aXDxV/pd/Um+sTX64MOis7P/6y+/pn7zNs+smT2veM6dFbjyy7EnnzY4qiCzZ6/WcKDn+jqXpfT2j5jWFYK5Uk9R/Jd9gQd7J3PVmlvUv38iMhl1X13PFTceDAQWLki+8vrJCXgGxP0+73nnWvBRgE0QWIR5zp4hTxivDmMOGE2Xp0ws+7efBa6d3y+V0n/9oH3Z8u7CWNkkSWtsSrz4SnZgcZ8v9A83J17+b4PlieO/W9356ONZNw050zQRT+SeHVrX5dMm+C65qE/zPtihtbSIVDr56uvZtwh8F12onDE9s2Pn4Jfe5QnjPWfPsO4TAavhlJAwqbrKO2d23ovpuufsM0c9uipw3YJ+P291z94Td/+fzMe7c//sdT2xYZN2qDH7Nc95cwLzLzd4VshDIamyQqqsPPmnQqquUmac4bvw/BxbFML3+QuVrCEIIpNJvvq6iCeYpiVffi27qr08YVzg6iuGDE3vnNlydZUFHwXYBEdYhHGPx3fpxfE/bjQ6CkkIxpjvC58vffCn3jmz+v2lure27a4fpt/73wEPUiQps3tP4sVXw3fc3tsGryd065LE5leNHGSF7/hG8KYb+oyEEIx7PNLJW349a2VCSKPKgjfdkD2RorqvLrX17a7DsfSOnem/vJ89KD9wzVWx3z6tNTUP0n7fpRcPMdEZuJvZSSisWNzZMQRWjN6wbqyDb9758oRx2oFDRjrGFCV4/TWR+5b3GzjOGFPr6k/84N7UG1uGGM2UTifWbwguWiiNHt3zmue82f4vXxp/ai2Th2i8NGa0NGY0G5IQTNd9l32hX0Gb5Euvage7z1VFtCPx4sv+yy7pGRyrnHWm79LPx3+/dqC1yhPG+eadP/A2C/+1Mcn4Ol04g4ZFTcIpIW3K5EmGZl3Xdam0NPLDH5T9x8pT0yqzY2fbHd9LvvanocdeSlJ6+0ept9/Nfo37fKHbbpEqy03dLsxubNsJqaI8f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this.props.isReverse?Rt=ot.scrollTop:Rt=Se.scrollHeight-ot.scrollTop-ot.clientHeight;Rt0},S.prototype.connect_=function(){!D||this.connected_||(document.addEventListener("transitionend",this.onTransitionEnd_),window.addEventListener("resize",this.refresh),ce?(this.mutationsObserver_=new MutationObserver(this.refresh),this.mutationsObserver_.observe(document,{attributes:!0,childList:!0,characterData:!0,subtree:!0})):(document.addEventListener("DOMSubtreeModified",this.refresh),this.mutationEventsAdded_=!0),this.connected_=!0)},S.prototype.disconnect_=function(){!D||!this.connected_||(document.removeEventListener("transitionend",this.onTransitionEnd_),window.removeEventListener("resize",this.refresh),this.mutationsObserver_&&this.mutationsObserver_.disconnect(),this.mutationEventsAdded_&&document.removeEventListener("DOMSubtreeModified",this.refresh),this.mutationsObserver_=null,this.mutationEventsAdded_=!1,this.connected_=!1)},S.prototype.onTransitionEnd_=function(K){var 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"},13014:function(br,Bn,i){"use 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"},9936:function(br){"use strict";br.exports="data:image/png;base64,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"},93314:function(br){"use strict";br.exports="data:image/png;base64,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"},58143:function(br){"use strict";br.exports="data:image/png;base64,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"},55351:function(br){"use strict";br.exports="data:image/png;base64,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"},90556:function(br){"use strict";br.exports="data:image/png;base64,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"},52590:function(br){"use strict";br.exports="data:image/png;base64,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ee((0,I.Jj)(O)),this.initialCoordinates=(N=(0,I.DC)(x))!=null?N:Lt,this.handleStart=this.handleStart.bind(this),this.handleMove=this.handleMove.bind(this),this.handleEnd=this.handleEnd.bind(this),this.handleCancel=this.handleCancel.bind(this),this.handleKeydown=this.handleKeydown.bind(this),this.removeTextSelection=this.removeTextSelection.bind(this),this.attach()}attach(){const{events:s,props:{options:{activationConstraint:y,bypassActivationConstraint:M}}}=this;if(this.listeners.add(s.move.name,this.handleMove,{passive:!1}),this.listeners.add(s.end.name,this.handleEnd),s.cancel&&this.listeners.add(s.cancel.name,this.handleCancel),this.windowListeners.add(Ee.Resize,this.handleCancel),this.windowListeners.add(Ee.DragStart,it),this.windowListeners.add(Ee.VisibilityChange,this.handleCancel),this.windowListeners.add(Ee.ContextMenu,it),this.documentListeners.add(Ee.Keydown,this.handleKeydown),y){if(M!=null&&M({event:this.props.event,activeNode:this.props.activeNode,options:this.props.options}))return this.handleStart();if(ve(y)){this.timeoutId=setTimeout(this.handleStart,y.delay),this.handlePending(y);return}if(Ne(y)){this.handlePending(y);return}}this.handleStart()}detach(){this.listeners.removeAll(),this.windowListeners.removeAll(),setTimeout(this.documentListeners.removeAll,50),this.timeoutId!==null&&(clearTimeout(this.timeoutId),this.timeoutId=null)}handlePending(s,y){const{active:M,onPending:N}=this.props;N(M,s,this.initialCoordinates,y)}handleStart(){const{initialCoordinates:s}=this,{onStart:y}=this.props;s&&(this.activated=!0,this.documentListeners.add(Ee.Click,It,{capture:!0}),this.removeTextSelection(),this.documentListeners.add(Ee.SelectionChange,this.removeTextSelection),y(s))}handleMove(s){var y;const{activated:M,initialCoordinates:N,props:x}=this,{onMove:O,options:{activationConstraint:Z}}=x;if(!N)return;const Y=(y=(0,I.DC)(s))!=null?y:Lt,me=(0,I.$X)(N,Y);if(!M&&Z){if(Ne(Z)){if(Z.tolerance!=null&&Te(me,Z.tolerance))return this.handleCancel();if(Te(me,Z.distance))return this.handleStart()}if(ve(Z)&&Te(me,Z.tolerance))return this.handleCancel();this.handlePending(Z,me);return}s.cancelable&&s.preventDefault(),O(Y)}handleEnd(){const{onAbort:s,onEnd:y}=this.props;this.detach(),this.activated||s(this.props.active),y()}handleCancel(){const{onAbort:s,onCancel:y}=this.props;this.detach(),this.activated||s(this.props.active),y()}handleKeydown(s){s.code===rt.Esc&&this.handleCancel()}removeTextSelection(){var s;(s=this.document.getSelection())==null||s.removeAllRanges()}}const Pt={cancel:{name:"pointercancel"},move:{name:"pointermove"},end:{name:"pointerup"}};class gt extends je{constructor(s){const{event:y}=s,M=(0,I.r3)(y.target);super(s,Pt,M)}}gt.activators=[{eventName:"onPointerDown",handler:(i,s)=>{let{nativeEvent:y}=i,{onActivation:M}=s;return!y.isPrimary||y.button!==0?!1:(M==null||M({event:y}),!0)}}];const at={move:{name:"mousemove"},end:{name:"mouseup"}};var Xt;(function(i){i[i.RightClick=2]="RightClick"})(Xt||(Xt={}));class wn extends je{constructor(s){super(s,at,(0,I.r3)(s.event.target))}}wn.activators=[{eventName:"onMouseDown",handler:(i,s)=>{let{nativeEvent:y}=i,{onActivation:M}=s;return y.button===Xt.RightClick?!1:(M==null||M({event:y}),!0)}}];const qt={cancel:{name:"touchcancel"},move:{name:"touchmove"},end:{name:"touchend"}};class Ht extends je{constructor(s){super(s,qt)}static setup(){return window.addEventListener(qt.move.name,s,{capture:!1,passive:!1}),function(){window.removeEventListener(qt.move.name,s)};function s(){}}}Ht.activators=[{eventName:"onTouchStart",handler:(i,s)=>{let{nativeEvent:y}=i,{onActivation:M}=s;const{touches:N}=y;return N.length>1?!1:(M==null||M({event:y}),!0)}}];var En;(function(i){i[i.Pointer=0]="Pointer",i[i.DraggableRect=1]="DraggableRect"})(En||(En={}));var Bn;(function(i){i[i.TreeOrder=0]="TreeOrder",i[i.ReversedTreeOrder=1]="ReversedTreeOrder"})(Bn||(Bn={}));function 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of["x","y"])g[ne][tt[ne]]||(Se[ne]=0,tt[ne]=0);if(Se.x>0||Se.y>0){p(),Ce.current=Xe,E(ke,O),j.current=Se,T.current=tt;return}}j.current={x:0,y:0},T.current={x:0,y:0},p()},[s,ke,M,p,x,O,JSON.stringify(V),JSON.stringify(g),E,me,q,dt,JSON.stringify(v)])}const Ln={x:{[Ut.Backward]:!1,[Ut.Forward]:!1},y:{[Ut.Backward]:!1,[Ut.Forward]:!1}};function mn(i){let{delta:s,disabled:y}=i;const M=(0,I.D9)(s);return(0,I.Gj)(N=>{if(y||!M||!N)return Ln;const x={x:Math.sign(s.x-M.x),y:Math.sign(s.y-M.y)};return{x:{[Ut.Backward]:N.x[Ut.Backward]||x.x===-1,[Ut.Forward]:N.x[Ut.Forward]||x.x===1},y:{[Ut.Backward]:N.y[Ut.Backward]||x.y===-1,[Ut.Forward]:N.y[Ut.Forward]||x.y===1}}},[y,s,M])}function Tn(i,s){const y=s!=null?i.get(s):void 0,M=y?y.node.current:null;return(0,I.Gj)(N=>{var x;return s==null?null:(x=M!=null?M:N)!=null?x:null},[M,s])}function un(i,s){return(0,r.useMemo)(()=>i.reduce((y,M)=>{const{sensor:N}=M,x=N.activators.map(O=>({eventName:O.eventName,handler:s(O.handler,M)}));return[...y,...x]},[]),[i,s])}var sn;(function(i){i[i.Always=0]="Always",i[i.BeforeDragging=1]="BeforeDragging",i[i.WhileDragging=2]="WhileDragging"})(sn||(sn={}));var cn;(function(i){i.Optimized="optimized"})(cn||(cn={}));const Lr=new Map;function dn(i,s){let{dragging:y,dependencies:M,config:N}=s;const[x,O]=(0,r.useState)(null),{frequency:Z,measure:Y,strategy:me}=N,dt=(0,r.useRef)(i),a=j(),v=(0,I.Ey)(a),g=(0,r.useCallback)(function(T){T===void 0&&(T=[]),!v.current&&O(V=>V===null?T:V.concat(T.filter(Ce=>!V.includes(Ce))))},[v]),E=(0,r.useRef)(null),p=(0,I.Gj)(T=>{if(a&&!y)return Lr;if(!T||T===Lr||dt.current!==i||x!=null){const V=new Map;for(let Ce of i){if(!Ce)continue;if(x&&x.length>0&&!x.includes(Ce.id)&&Ce.rect.current){V.set(Ce.id,Ce.rect.current);continue}const ke=Ce.node.current,q=ke?new P(Y(ke),ke):null;Ce.rect.current=q,q&&V.set(Ce.id,q)}return V}return T},[i,x,y,a,Y]);return(0,r.useEffect)(()=>{dt.current=i},[i]),(0,r.useEffect)(()=>{a||g()},[y,a]),(0,r.useEffect)(()=>{x&&x.length>0&&O(null)},[JSON.stringify(x)]),(0,r.useEffect)(()=>{a||typeof Z!="number"||E.current!==null||(E.current=setTimeout(()=>{g(),E.current=null},Z))},[Z,a,g,...M]),{droppableRects:p,measureDroppableContainers:g,measuringScheduled:x!=null};function j(){switch(me){case sn.Always:return!1;case sn.BeforeDragging:return y;default:return!y}}}function Dr(i,s){return(0,I.Gj)(y=>i?y||(typeof s=="function"?s(i):i):null,[s,i])}function zr(i,s){return Dr(i,s)}function ur(i){let{callback:s,disabled:y}=i;const M=(0,I.zX)(s),N=(0,r.useMemo)(()=>{if(y||typeof window=="undefined"||typeof window.MutationObserver=="undefined")return;const{MutationObserver:x}=window;return new x(M)},[M,y]);return(0,r.useEffect)(()=>()=>N==null?void 0:N.disconnect(),[N]),N}function Sr(i){let{callback:s,disabled:y}=i;const M=(0,I.zX)(s),N=(0,r.useMemo)(()=>{if(y||typeof window=="undefined"||typeof window.ResizeObserver=="undefined")return;const{ResizeObserver:x}=window;return new x(M)},[y]);return(0,r.useEffect)(()=>()=>N==null?void 0:N.disconnect(),[N]),N}function gr(i){return new P(pe(i),i)}function Br(i,s,y){s===void 0&&(s=gr);const[M,N]=(0,r.useState)(null);function x(){N(Y=>{if(!i)return null;if(i.isConnected===!1){var me;return(me=Y!=null?Y:y)!=null?me:null}const dt=s(i);return JSON.stringify(Y)===JSON.stringify(dt)?Y:dt})}const O=ur({callback(Y){if(i)for(const me of Y){const{type:dt,target:a}=me;if(dt==="childList"&&a instanceof HTMLElement&&a.contains(i)){x();break}}}}),Z=Sr({callback:x});return(0,I.LI)(()=>{x(),i?(Z==null||Z.observe(i),O==null||O.observe(document.body,{childList:!0,subtree:!0})):(Z==null||Z.disconnect(),O==null||O.disconnect())},[i]),M}function Ir(i){const s=Dr(i);return Qe(i,s)}const fr=[];function Kr(i){const s=(0,r.useRef)(i),y=(0,I.Gj)(M=>i?M&&M!==fr&&i&&s.current&&i.parentNode===s.current.parentNode?M:ct(i):fr,[i]);return(0,r.useEffect)(()=>{s.current=i},[i]),y}function qr(i){const[s,y]=(0,r.useState)(null),M=(0,r.useRef)(i),N=(0,r.useCallback)(x=>{const O=Pe(x.target);O&&y(Z=>Z?(Z.set(O,ln(O)),new Map(Z)):null)},[]);return(0,r.useEffect)(()=>{const x=M.current;if(i!==x){O(x);const Z=i.map(Y=>{const me=Pe(Y);return me?(me.addEventListener("scroll",N,{passive:!0}),[me,ln(me)]):null}).filter(Y=>Y!=null);y(Z.length?new Map(Z):null),M.current=i}return()=>{O(i),O(x)};function O(Z){Z.forEach(Y=>{const me=Pe(Y);me==null||me.removeEventListener("scroll",N)})}},[N,i]),(0,r.useMemo)(()=>i.length?s?Array.from(s.values()).reduce((x,O)=>(0,I.IH)(x,O),Lt):ie(i):Lt,[i,s])}function Fr(i,s){s===void 0&&(s=[]);const y=(0,r.useRef)(null);return(0,r.useEffect)(()=>{y.current=null},s),(0,r.useEffect)(()=>{const M=i!==Lt;M&&!y.current&&(y.current=i),!M&&y.current&&(y.current=null)},[i]),y.current?(0,I.$X)(i,y.current):Lt}function Mr(i){(0,r.useEffect)(()=>{if(!I.Nq)return;const s=i.map(y=>{let{sensor:M}=y;return M.setup==null?void 0:M.setup()});return()=>{for(const y of s)y==null||y()}},i.map(s=>{let{sensor:y}=s;return y}))}function la(i,s){return(0,r.useMemo)(()=>i.reduce((y,M)=>{let{eventName:N,handler:x}=M;return y[N]=O=>{x(O,s)},y},{}),[i,s])}function ra(i){return(0,r.useMemo)(()=>i?st(i):null,[i])}const ye=[];function fe(i,s){s===void 0&&(s=pe);const[y]=i,M=ra(y?(0,I.Jj)(y):null),[N,x]=(0,r.useState)(ye);function O(){x(()=>i.length?i.map(Y=>Ke(Y)?M:new P(s(Y),Y)):ye)}const Z=Sr({callback:O});return(0,I.LI)(()=>{Z==null||Z.disconnect(),O(),i.forEach(Y=>Z==null?void 0:Z.observe(Y))},[i]),N}function Tt(i){if(!i)return null;if(i.children.length>1)return i;const s=i.children[0];return(0,I.Re)(s)?s:i}function k(i){let{measure:s}=i;const[y,M]=(0,r.useState)(null),N=(0,r.useCallback)(me=>{for(const{target:dt}of me)if((0,I.Re)(dt)){M(a=>{const v=s(dt);return a?So(Ca({},a),{width:v.width,height:v.height}):v});break}},[s]),x=Sr({callback:N}),O=(0,r.useCallback)(me=>{const dt=Tt(me);x==null||x.disconnect(),dt&&(x==null||x.observe(dt)),M(dt?s(dt):null)},[s,x]),[Z,Y]=(0,I.wm)(O);return(0,r.useMemo)(()=>({nodeRef:Z,rect:y,setRef:Y}),[y,Z,Y])}const Jt=[{sensor:gt,options:{}},{sensor:ce,options:{}}],Le={current:{}},Kt={draggable:{measure:Re},droppable:{measure:Re,strategy:sn.WhileDragging,frequency:cn.Optimized},dragOverlay:{measure:pe}};class Gt extends Map{get(s){var y;return s!=null&&(y=super.get(s))!=null?y:void 0}toArray(){return Array.from(this.values())}getEnabled(){return this.toArray().filter(s=>{let{disabled:y}=s;return!y})}getNodeFor(s){var y,M;return(y=(M=this.get(s))==null?void 0:M.node.current)!=null?y:void 0}}const hn={activatorEvent:null,active:null,activeNode:null,activeNodeRect:null,collisions:null,containerNodeRect:null,draggableNodes:new Map,droppableRects:new Map,droppableContainers:new Gt,over:null,dragOverlay:{nodeRef:{current:null},rect:null,setRef:we},scrollableAncestors:[],scrollableAncestorRects:[],measuringConfiguration:Kt,measureDroppableContainers:we,windowRect:null,measuringScheduled:!1},Zn={activatorEvent:null,activators:[],active:null,activeNodeRect:null,ariaDescribedById:{draggable:""},dispatch:we,draggableNodes:new Map,over:null,measureDroppableContainers:we},Vn=(0,r.createContext)(Zn),sr=(0,r.createContext)(hn);function Mn(){return{draggable:{active:null,initialCoordinates:{x:0,y:0},nodes:new Map,translate:{x:0,y:0}},droppable:{containers:new Gt}}}function xt(i,s){switch(s.type){case re.DragStart:return So(Ca({},i),{draggable:So(Ca({},i.draggable),{initialCoordinates:s.initialCoordinates,active:s.active})});case re.DragMove:return i.draggable.active==null?i:So(Ca({},i),{draggable:So(Ca({},i.draggable),{translate:{x:s.coordinates.x-i.draggable.initialCoordinates.x,y:s.coordinates.y-i.draggable.initialCoordinates.y}})});case re.DragEnd:case re.DragCancel:return So(Ca({},i),{draggable:So(Ca({},i.draggable),{active:null,initialCoordinates:{x:0,y:0},translate:{x:0,y:0}})});case re.RegisterDroppable:{const{element:y}=s,{id:M}=y,N=new Gt(i.droppable.containers);return N.set(M,y),So(Ca({},i),{droppable:So(Ca({},i.droppable),{containers:N})})}case re.SetDroppableDisabled:{const{id:y,key:M,disabled:N}=s,x=i.droppable.containers.get(y);if(!x||M!==x.key)return i;const O=new Gt(i.droppable.containers);return O.set(y,So(Ca({},x),{disabled:N})),So(Ca({},i),{droppable:So(Ca({},i.droppable),{containers:O})})}case re.UnregisterDroppable:{const{id:y,key:M}=s,N=i.droppable.containers.get(y);if(!N||M!==N.key)return i;const x=new Gt(i.droppable.containers);return 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0:i.draggable,i==null?void 0:i.droppable,i==null?void 0:i.dragOverlay])}function lt(i){let{activeNode:s,measure:y,initialRect:M,config:N=!0}=i;const x=(0,r.useRef)(!1),{x:O,y:Z}=typeof N=="boolean"?{x:N,y:N}:N;(0,I.LI)(()=>{if(!O&&!Z||!s){x.current=!1;return}if(x.current||!M)return;const me=s==null?void 0:s.node.current;if(!me||me.isConnected===!1)return;const dt=y(me),a=Qe(dt,M);if(O||(a.x=0),Z||(a.y=0),x.current=!0,Math.abs(a.x)>0||Math.abs(a.y)>0){const v=Vt(me);v&&v.scrollBy({top:a.y,left:a.x})}},[s,O,Z,M,y])}const Bt=(0,r.createContext)(So(Ca({},Lt),{scaleX:1,scaleY:1}));var Ft;(function(i){i[i.Uninitialized=0]="Uninitialized",i[i.Initializing=1]="Initializing",i[i.Initialized=2]="Initialized"})(Ft||(Ft={}));const $t=(0,r.memo)(function(s){var y,M,N,x;let 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",I=l(93314),R="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAASwAAAEsCAYAAAB5fY51AAAAGXRFWHRTb2Z0d2FyZQBBZG9iZSBJbWFnZVJlYWR5ccllPAAAAyZpVFh0WE1MOmNvbS5hZG9iZS54bXAAAAAAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaUh6cmVTek5UY3prYzlkIj8+IDx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdGs9IkFkb2JlIFhNUCBDb3JlIDUuNi1jMTM4IDc5LjE1OTgyNCwgMjAxNi8wOS8xNC0wMTowOTowMSAgICAgICAgIj4gPHJkZjpSREYgeG1sbnM6cmRmPSJodHRwOi8vd3d3LnczLm9yZy8xOTk5LzAyLzIyLXJkZi1zeW50YXgtbnMjIj4gPHJkZjpEZXNjcmlwdGlvbiByZGY6YWJvdXQ9IiIgeG1sbnM6eG1wPSJodHRwOi8vbnMuYWRvYmUuY29tL3hhcC8xLjAvIiB4bWxuczp4bXBNTT0iaHR0cDovL25zLmFkb2JlLmNvbS94YXAvMS4wL21tLyIgeG1sbnM6c3RSZWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20veGFwLzEuMC9zVHlwZS9SZXNvdXJjZVJlZiMiIHhtcDpDcmVhdG9yVG9vbD0iQWRvYmUgUGhvdG9zaG9wIENDIDIwMTcgKFdpbmRvd3MpIiB4bXBNTTpJbnN0YW5jZUlEPSJ4bXAuaWlkOkM5QkFEM0E0MEQzMzExRUI4NUVDRUJDQkJGMkE4NjIzIiB4bXBNTTpEb2N1bWVudElEPSJ4bXAuZGlkOkM5QkFEM0E1MEQzMzExRUI4NUVDRUJDQkJGMkE4NjIzIj4gPHhtcE1NOkRlcml2ZWRGcm9tIHN0UmVmOmluc3RhbmNlSUQ9InhtcC5paWQ6QzlCQUQzQTIwRDMzMTFFQjg1RUNFQkNCQkYyQTg2MjMiIHN0UmVmOmRvY3VtZW50SUQ9InhtcC5kaWQ6QzlCQUQzQTMwRDMzMTFFQjg1RUNFQkNCQkYyQTg2MjMiLz4gPC9yZGY6RGVzY3JpcHRpb24+IDwvcmRmOlJERj4gPC94OnhtcG1ldGE+IDw/eHBhY2tldCBlbmQ9InIiPz74uUqOAACl0klEQVR42ux9B5zc1PX1kTR9+657ATewDQZjIPRgeg8thARICAESSiihhARCCn9qCiSQkACBL4USaiB006upphgDNm7YuLft0yV97zzNrGdnpdlpW63Db/CudkbSPOkd3XvfvecqpmmuBFAFFy5cuOjfaFUEYZnuOLhw4WIggITV4lpYLly4GAgWluqOgQsXLgYKXMJy4cKFS1guXLhw4RKWi0GH//znPzjjjDNw/fXXwzAMd0BcOMINurvoU/z2t7/Fz3/+847fZ8yYgbfeegt+v98dHBfZaHUJy0WfYcWKFRg7dmyX7U899RSOOOIId4BcdCEs1yV00Wf44osvbLe/+uqr7uC4sIVLWAMcixcvxv/7f/9vQE7yJUuW2G6fMGFCWY+zdu1a3H333Xj++efdG2aAw+MOwcAFg9Xf+973oOu6/P2QQw7BrFmzBpRLaIfJkyeX7Rj3338/zjzzTLS3t8vfDzroIDzyyCOorq52byDXwnLRW+AEPO200zrIinjuuefw4IMPDpjv0NzcbLu9XCuFq1atwkknndRBVsQLL7yAv/3tb+4N5BKWi97EsmXLEI/Hu2x/8sknB8x3+Pjjj7tsCwQCmDp1aln2//bbb9tu/+STT9wbyCUsF72Juro626X/N998c8B8B7vzZy2+pmllI3U7DB8+3L2BXMJy0ZsYOXIk9thjjy7bGchmHlN/Rzgcxueff95le319PaqqypNl8+KLL9puP/TQQ90byCUsF70Np1ylp59+ut+fO93ZjRs3dtne0NCAYDBY8v5bWlrw0ksvddk+ZMgQ7Lvvvu7N4xKWi94GVwXt4BS76U9IJpNQ1a63XywWK8v+X3/9dUQikS7bv/71r8s4mQuXsFz0MnbYYQeMGTOmy/bZs2dj06ZN/frcGfimFZQNu8z3YrBy5Urb7fvtt1/Zv8uaNWvky4VLWC5ygMHpXXfdtct2xodefvnlfn3uiqLYbi+X9bPjjjvabj/hhBPK+j0uueQSmeg6ceJEXHzxxe5N6RKWi1wYP3687fb+vlrolOVeU1NTlv1zQYI5WJm4+eabMWrUqLJ9h5/+9Ke46aabpOvJh8Qf//hHqTjhwiUsFw7YaaedbLezgLg/Y+nSpbbbt9tuu7Id47777sN1112H008/Hf/4xz9wwQUXlPX8//CHP3TZftddd7k3ZQ/CLc0Z4DjqqKMQCoXkEz4TLCx+//33bV3GYsD8qPnz55ctqdMJ5Qq6p3H55Zf3yHn++te/tt3OtAwXroXlwgGcIHb5WMQHH3xQlmMwI52WD18M9NtlqBeKOXPm2G53ij31N/z3v/+13X788ce7N6VLWC5yYe+997bdXo4C36amJrl/WlfEvHnz5O/cXqrFZgfmSfV3/Otf/+pUn5gG88fOPfdc94Z0CctFLvz4xz/uMtH5O5UJSsXjjz/eZXLyd6cs8nzA4ubGxsYBO94MrtuBQXhXBcIlLBfdgLVxc+fOxQ9+8APptlFOhXlO5bBWnAqFS8k7Yv7VZ5991mU7Vwj7u0u4fPlyW5eY1tXPfvYz92bsYbhB90EC1hZSyK/ccAraU7qlWDB/zK7AOZFIlK3wuafgpDV/2WWXycUPF66F5aKPrTc7OCV+5gNaV3ZZ7swp6++TnuORnSBK5YyeWo104RJWn+PZZ5+VNW3sEHP11Vf363PNFAjMhF3QuRCX0E6kj2U5Pp+v31+/G2+8ET/5yU+w22674bjjjnO7/Lgu4eDFK6+8gsMPP7zj948++girV6/GX//61355vowpMZCcbRGVIoJnZ12VarX1NpwC7y5cC6vXwERLLkszeOqUiV0q7rnnni7bKNnLYG5/BC0HOyIpxaKw08EidtllF/cmTOGf//ynzNC//fbb3cFwCasrmF+0++67S/L43e9+Jy2LRYsWlf04Xq/XdvsvfvGLsh3j008/xZFHHimTPMvhctqdM7WsitVed9K7KlXL/cMPP5RaV3S1r7322gF7L5588slyxZflRGeffbab25UJNlI1XZh77703Mxk7vSZOnGjG4/GyHue5557rcpz0S7iGJe9fTFozEAh02u+ZZ55pCjIoep/7779/l3OtqqoyGxsbi9rfJZdcYvv9hVtc0vcWVl+n/f3qV78acPehIFrbsXnppZfcSSq4yrWwUmDvumyw51+55UgOPvhgx8z0Sy+9tOT900KMRqOdtt15550l9S20y0qn+F6xKQgbNmyw3b799tuXFFPKrkMsVyHyQw89JMuf9tprL/lzT8Y3nSxtJ3161yXcQkEXyg7M9L7tttvKeiya+Xa49957HWVX8gVzmZwmQ7Gwa2za2tpqm/yZD5yC66WsPNrJ0pQjRYI1gyeeeCLeeecduRrIn53qCEsBJWqOPvpox78fdthh7iR1CWszfvnLX9pK9hKMISxcuLBsxzr22GMdl+//8pe/lLRvCsnZ4Y033ih6n9tuu61tvKnY8povv/zSllxKkZY5//zzu4j/sW9jqbjyyitt75Vy49vf/rZ8CNjhT3/6E0aMGOFOUpewNoPND1jU6uQSfeMb3yjbsSorK6VSpR3uuOOOLlIxheBb3/qW7XZqnBe7Euk0kZwKmIuxsPiw4DUoFttss41MEbnoootw1llnyWt5xRVXlCPGa0vW5QRXjp944gnHh9uFF17oTtCMC+IG3TNw3HHHOQbFb7rpprIdR7gAprAqbI8jSKukfe+88862+/3b3/5W1P4efPBB2/1dc801Be8rFouZkydP7rKvrbfe2hQuYb+7Hx555JEu58pt5cRJJ51kO75er9dsbm52J6UbdHfG/fffL+vy7MCSjAULFpTlOHRfnKysUpNImUVvh2Ld2mHDhtlud8qCzwVajytWrOiyncKA/bEsh/pWgrBlyguD7vy53JpXTosNDz/8sKv+4LqEucHYEm9KJ1Dhs1wuwTnnnGO7na5NKZrs+++/v+12p4B8d3BSAWVvwWLHOBvZK5v9CXSz2TqN18TJ5S4FjL9lizCy/CdXEN51CV10wq233uroGh522GFlO87PfvYz22NMmjSp6H0mk0lz5syZXfb54osvFrW/r776yhQk02V/wpIrWx7aj370oy3+nnv66afNf/3rX+bnn3/uTkAHl9AlrBzYZpttHEmLN1Y5wJgOkzDtjvHQQw+VFCM79NBD5X6ES2f+85//LHpfwjIzhw4d2uX8jj322IL39f7775c9Ptja2mp+9tln7g3rEtaWDWZPOxFWfX192Y5z+OGH2x5jzz33LHnf8+fPN1taSr/E3/nOd7qc3wMPPFDUvkig2ftatGhRUfu6//77O/b3ta99TZKXC5ewtljccMMNjqTF1Z2eWolKv55//vl+MQ4klGnTpnWsXp111llF7+vRRx81R40aJfdVXV1t/v3vfy9qPytWrOgyXgcccIB0iYvFunXrZHkMv9///vc/dwK4hDXw8L3vfc+RUK6++uqyHGOPPfaw3f+uu+7ar8Zi4cKF5vLly8viCtON27hxY9H7uPPOO23HbMmSJUVbo7ScM/d12WWXuROgHxGWIlkLqHKXH3JjzJgxWLlype3fqGdVaiYyl7DtVqCYUNnc3CyTTV10Busj99tvv07bPB6PVJIoJh2AaQssv8kG60ydUjtc9Cpa3bSGPMEuwk6ggmipYJG1XRt1plDYdRh2AcycOVO+MkFd+2LIiqRkR1bp3DEX/QOD3sJiWcnzzz8v++pRJ4rWEPOKaLlQhI6FvVOmTJH6V921xSKpPPLII122v/DCCzjwwANLPlcWWh9zzDFdtlM/iudtV+CbD1hYe9VVV+G5556TSbHM+xksxbRMXr355ptlMuqee+5ZdJ4UJY+5n2xQVJCFz33ZHIOqIcwBY9IyO/awSJz3MHXKmGzLpFvWe+6zzz6YNm3aoLawBnUMi8Fc4ao5xp+yX8IlkHlCuSAmRKfPnH322WU9Z0Gctud25ZVXFr3PdHpD5uvll192IyIpNDU1Od4Ts2bNKnn/y5YtM++6666Cx5xlOeLhkvf9y9fpp59uigezG3QfSJg7d65c4i7kQme+Tj755Jx1bcLtkImOvAnLDeZ32Z0T6w6LqbXjZLHb32mnnVbU+W3atMn897//3S2xDyT84he/sB2jrbbaquR9v/baa2ZlZWXHPs8999y8Psf6zeHDhxd9D//mN79xCWsggEvRiqIUfaGRoTbKydkXyLzBS12RXLNmje2+LrjggoL39dFHH3WaROecc86guGeES2U7Rvfee2/JK6p2+509e3bOz1188cUl379IKc26q4T9GI899phsu2QHxoEYZ6KPz58Zw6LyJeMTrBOzA7WlGP9iv7zeBPW3qByaDcawGKspdMWQxdRsZ58GNc8ZL+PKZ75gHaKwOLp0fL711lsHvOY47wnGNzPB71qKymdbW5uMLdkVelMB9owzzrD9HOOLTppoXImm0OTo0aM7YmrcP6WDGKO1A2WReK3dGFY/wxdffGH7lBEXVprHufTSP/74Y/MHP/iBo6VVih56MVi6dKnjU/PGG28sap9MQKU7wqRIXdcL/vxbb71lez7Ue+9t8Pz5PWhBlCPGZJe4++STT5a0z/3228/xGr7yyiu2n6Gr7XQPMvwQDocdj8dxYM6e3eeZR+i6hP0MdhpLwpIyP/nkk7z3QR0quwueb9yB+lA77bSTue+++5pz5swp6fuccsoptucyffr0PhlfNkGwOx9qbxVDgMWCk3aXXXbpdA733HNPyfu977775H7ZjITxo1IgLH1HshLWkW1jk1WrVtm+X1hIBTVCOfXUU233M0iy9gcHYdkFqhkHYi1goeDKot0FX7x4cc7PZXc7YQeXBQsW9IiV1V0MpCewfv16WUYDm+45vRnru+qqq7qcA5UkhAvWL+5Fkne67MjuJdw32899+9vf7vJeLhwVAy4IZe9r7NixLmH1B3BJOnsisdatlOp9KhtkX/Bjjjkm52fGjRtXdsmUE0880famv/DCC3t9nNnSy24xgKUsvakUSuvVbkz6iyTLPvvs40hWTooZdu72dtttV9J5cBUY/bQudYsmLLv4QzmWdLMnBt3LXKY54wzZ5/HjH/+4pHOgDpXdjc94W2+DpEQZYzvrZt68eb1yDowl2i31V1RUSAuwr8E+iE5klSuOZKeE8fbbb5ds6dXW1nbaJ8MMLmH1MbjUn+2KlUNO5dlnn+1yE+WKS9m5hFwIKBVMP+gvSZ8ULrSbjBSe6w1wEtsdnw+XvgZdPSeyYvJyLjCuhR4oeM+Og1KGpzfjjT1BWJ6Bvs6Z3RvvkEMOQVWVc5bGk08+iWeeeUamBnBp2a6FFcEyB76Hy9NpMAVi5513tn1/ukOLmLzyc9dff73s5FIqWC7Cshwem6UY7AiTXfDbW3CSSnZqj1ZuOC3PO/WU7M1xEVaS49/Zct4JLKjn9c0EW9XnKkUSriVmz54t0ybYF8CpzyNll9nrMo1169ZBWMOyDG3AYqBbWNnLx7lKWGgJZGeP53IlpkyZ0un9gpT6NJjb1/jJT35ia0HQuuwNZK8O5rsg0tNgCoSTddVdvJHuNAqQss4uDTvqqKMc38uYVfa+n3rqqQFtYQ14tYbsRghODUoJSrhkV+HT2nICE0zzsTB6A71lxeTC8OHDHZNK88WmTZtw9913F9yJmtbBhx9+2GX7pEmTbDtT9ybskkOJyZMnyyao3SXkZqOiosLJuOhyv9JjcOo3aZdg3Jf3cDkw4F3C7Imcq6rero1ULimSbFO7P5BGXyLTPc5EMpnM6/Nz587FwQcfLMmHYNegfFuaUfrFrluRU0uz3sROO+3kGH4o5kGU6z6za61G1ZFy7HtAzPeBPomyLxbF25zACTJ06NCO3w844AAcfvjhju/PbsWe3Qo9X1AWhD0Nzz77bPz73/8esGM9ffp02+1z5szp9rOUROFYp8mKYPnR3//+97yO7aQ5tu+++/b5uLBn4a9//esOkT9K0lAOhtZfd2BcMhvZ5U+ZD9Brrrmm07YbbrjB0fK120+x97AbwyoTzjjjjIKS7ZjkyKJWZiPnArW9WdaTuW+WThQKrhSKm6TTfhgLKhX/+Mc/ZHrDbbfd1mtj7ZTtTvma7sA4k91nGZPpDk5de9CP8q+IYrr3bNiwQeYNogBZZh6DpTrdJRBnr6CjBPloN62hTPj973/fIxeFEjLZ+y0mc91Jz6iU1ARqcKEHNbmcwGCw3XehHn139ZbMYbPL48qnXdobb7xhe9y6ujpJZgMd2WVl48ePL8t+jzjiiLL1unQJK2OV5JBDDpHCdZdeeqm0bAoBJz5s9KxKBW8alKGtl13GMVIlLcWUk7z77ru2+6PuUk/DqTwn32z3YuVpaEXafWfW/Q0G2K2+ltr3kh2FVFXttM+LLrrIJaxSwJKE7I7CvPlZhJwv2NKJBcfZF7zY1lEEVRuz91ds95RXX33Vccmb510o2CLLbl/FuKuFgmVQzCqHTWIku+DkA5b40B0vpB7y8ccft/3ON99886AgLBY+Z4cNmHJTTC0sEY1GzR122KFfu88DkrCcKsv5YmwqX1kXpwzoYhRBKVmSvR/GGHgTFAuSndP3/P73v1/QvmiBZtf0kUTWrl3b49fLqTyHZUucdD0FkmG2gmyxhcH9FSwnyx5XVksU2lKN9+mMGTNs5b8HAfqWsLrTq+ZTIt8Ldtxxx5VMWtkB/PSr1MA24ze8+Zy+J/vhFQK6Vummpkxu5e+9BafynJ6uJ+REpOXLe4LXqZAHSF8sUBRzj4wcObLLuLKonmGAfMAFHhZN98X12SIIy24FLfu1zTbb5HVz8ilsp5jA18EHHyz1gOxkUKh5zhvZ6UKfcMIJZfmuTm4NSmj5ztWi3hYXdBKmK5R0ewt9tUBRDOgCIkdzCdYrZne1ZgUEyejXv/51l/DKYHOdzf4QdGeHD65e5CKthx9+OG93ibo/TvthwJgWCU1mvnjc7MBk5uu73/1uWb/r7bffPqAmux3sirFRpu4y5QYXIuzO9Zlnnum348t7PddcGDNmjLn99tvL+5cLVbnud75uueWWweQ594+0BgZz6WM7DXohAXQK39kFHAt9UVCtJ8CnXeZxmD4xkHD99dfbjtcTTzzR7WcZcO/Njjv//e9/bc+VLmJ/xkMPPWS7uFHoq5SFJ5ew8gCXXe0Gnt1HCgHdpPPOO6+oi8zcnj//+c89+j0Zc2JsrRSRwb6CU0ssrl7mAnXze7vjDtMwsid+f9HO6g7MJTzyyCOLuocZ3+yPFu+gIyyCA03VRsrM0vQtZbmeeu6MQdkFM7NfdA+5mtdXrb36GmzSEYlEun3f3XffbTt+uZQsqMNOV6ZYC2DlypV5p03YPRyYr8X7iQmuvblAUQ785z//kfPBLv8NWc1WuHLaE70y+xNh9ds2X6xit6uzyqzzY3Ep66iogdWdogNbfLPmjZX10WhUFoFSjYGaVdS42m677bbIgmbW+An3V7Yza2hokLVpp556quP7qZhgpwn2hz/8QWoz2eHLL7+0bZXGtvIPPvhgznNj27aXXnpJtri69tpr8f3vf79H7qf+Dt7vH3zwAd599105LuLhIpVJqOxAfSsWYLM12SDHwGzzxdWUwdjQk6D7y1hPb4FVBoWUDdHdtsvFypXkSOuomLIcu3PLd4m/HGCiJesDXbguYdHgsm522cxACKR2ByZlpmu/hKVj3nnnnT1+TGH52LoX3Wl/Mx7F0iIU0Aat0LIcp3NjK7WeBl3YAw88sENW2Kl5hAuXsLoFY0x2N3I56geLAXPJ2AiD6RnFggW8dt1gfvrTn/Z4UNpuLHOptqbB/DU+JJyagtqBliN7CObTvcXp3Jga0pPgtZg5c2aX47IA24VLWEXdUHYJon1hYWUrOhRrFTlJr/DVnQyOHTgWTDTMp0s0CQRZDRDK0cSjHCjm3CiBQ4uPCyi5un0Xei3YD9GFS1gDNobFWFO5cl+am5sdM/65wlkILrnkkk6fP+uss7r9zAsvvCDf93//93+9njnfHaiXTvK97rrrutW1z64pZeiAY1votfB4PF2uw0DLl3MJq58hnYTYV/kmXG52soqKsbScctBQQJ9FisH1lfRMf4Bd2RBF7Mph2RVKfC5cwupX4ApSrryYQl1UWg+cGE77y4eYmWzYV9Iz/QF2zWwLVcNIgyRPl5oB9/5mdWZj7ty55rHHHisrPNihnL8PVsLqt3lYAwHCTZC9DZ1AvfIzzzwz7/2tXbtW5hs5adevX78+Z89FNihgvtNXX33VsY15OoLIOvTGSxTURtQ00ZYAlrQZaE8YWBEBFrcCAU0BW3ao4n+RVJ+EoAYYpsUcMbFtgjj1MUETlV4F4ys18a/4nFK+tgLUVRdubadtL774otTuH6zgPcFrztyszGu+dOnSTv0LBkselselneJx+umny04uP/zhD23/nt6eL2kxCZZNMk877bQuf2N7pqOPPhovv/yy4+fZMYjJtN/97nfxySefYOzYsfjf//6XB1mRUro244yaBj5t1PFZi4m5jaYgKROL2xQ0xhWsi4q/J8XnDPG5pMIOCY77kdvZ8IZ5m6qJkLjrhgZ0VHtNTK42sW2lgsk1wHa1Cnao1eAvksSuuuoqmVzJMWCHpCuvvHJQkxXBtl+ZZJVOuOX2XAnAAxWuhVUG3HnnnY6klbbEfvCDH+S9P2bdC5fT9m/suvO9732v233w8+PGjevSWzEXkoKg5rea+GiTgdnrDby6zsTCFhUJtn40VPaIEqSjyF5LXmFRaeJfNlXTlNzUl96WTPFWUrdeENYaEtwotioGPH4IAjMwc5iCPYaqmFGvYmq1OE6BzZ0WL14sCWvkyJGDPgue5PyNb3yjy/YnnngCRx111KCzsFzCKhNoGeUiJZJaLvcxEwsXLsS2225r+zc2x2SpC8toyoGFbUk8t1LHextNvNOo4ct2BdGIaRGUXxUTWYFPsxpYKpJ6yuFYdiY1U1hnutgY11lGxR8EgakG/EEFEypM7F5nYNcGE4eM9mCbyvI5BQ888ACuvvpqWfbCtu+PPvpoTpfbCSz1onXX2tqK448/vletOlr4bB+X2S6ND8/bbrttMPbRdAmrNy2tQmJa7I7sZNJfeOGF3XYUzk0RBp5akcRDXxl4ZLmCtjaaSuIlmMnDuJKW7rBr9tFIKmBr1igtMVp3ZDJDR0WVgZO2VnDcGAVHjOYZFj8h7eKFbPL63HPPFbQfuup77LEHPvroo45t7DD+zW9+s1dH7B//+Afefvtt2SORoYpBCpew+jNp8WnNp342aH2xOWuhaE7o+OuCJP6zzMQnGwSBGYKZQh5U+2RoqQ8JqnsCM+X5i/+FBXmpSewgLK7vTlBw7rYeVHq0gvf4r3/9yzZWuGzZsryLiGlZ7bXXXrIgPBMsRmaxvYvyE5YbdC8zSEbs0OtESiQzj8djO1mycc8998jA+aZNmzptr66uLsi6mt+s45EVJu74QsfyTWJy+zwIVQpXT03Fkcz+PqqmpKw6hplqNMRMDZ80mvjZWwnc9kUCp29j4ARhdU2p0WAf9O8Kp4WIfDsj00JjJ+tssiKamprcidBDUN0hKD8Yq2Kg3QmMddES6w4MHL/++usybtVxwVQ1r88Sb21MYK9nYpj2tIkr31WxPBJATb0XdWJ3PsW0yGrAQEnRlinPnd+hps6HpeEAfvmugu2fMvD1WTG8vymR195INjNnzuy0jXHIfNI/KO0yY8YMW7Ii9t9/f3cS9NRd4LqEXcEVtrfeekua9rvuumufu4fMqWEQlUFdxie6O6cvWpO46bMk/r5IgRH3QqtUUanx6WTCHGw3MBiRU9AmPEW9zYDmT+DMSSYunurBtlW5HQjmrf3ud7/DokWLcNBBB+Gkk07Kyw3cc889O8WsMkEiY+pJTU1NUd+H58TFAOZSHXPMMe5kzHIJ+4yweFH/+9//ytwhLsseeOCB/WJEGLzMDFqefPLJuPnmmzFkyJA+Ja18XafrP43j1x+bSEQ8UMSErfeJSWCYg/YOzlxOUFUFjTGxTRC2N5jEDTsrgrh8ebuJ3YEBdpKVk2VFspo9e3bebmWX2SgeSLTOKDRJMD727LPPFrVyOVgJS/vNb35zufjB35tHpboln2hUT3znnXdkbhEtmmQyia233rqg3KFygsmWhx12WJdtJDE+MYuxtqjOyXwoJnDagfkyzFSmYmQpeOyrBM6fI6yqecKq8vlRV6UioJoYxFzVYWF1kJdpZdcHQxradQ+eW2rgrUYD1R49Fd8qHlSqJZk4BdOZ8zRr1qyiyYrggzJzlZIVC5wL2a7rFox4n1hYO+ywA+bNm2f7t9raWpx77rm49NJLUVdX16ujcccdd+Css85y/Pt3vvMd/OUvfykqB+quu+7KaUkVa2mti+k4Y3YcTy6lz+dFVbUCrzL4iao7sEQobgpXsUUMhJ7AURN03P11H2qLWFGkGzh58mQsX77c9u+0hN58882Sz3nUqFFYvXp1p22Ur77//vt7ffxeeeUVGYpgygZz1PqLhdUnQXfeAE7gCst1112HiRMnymQ8rsb0Frp7kvHGIdk2NzcXvG8G4jOT+7JBt/Hee+8t7KZam8DOTyXw5CIfgjU+1NUwK9wlK8IQZOXhyqIYE47Nk4t92OXJOF5dFy9oPy0tLZKQnMiKbiDrFcuBQw891Hb/vQmuTNP7oTVJi49VF0wB6TcPor44KGvdugOzj4W7igkTJuCKK66Qv/c0+BTtLiGTT8ATTjiBKhcF758WVC7SYoOF/MjQxA2fRLH/LB0r232oH6rBK7bFhUutlyleM6CtK5K2+C8hs+cN+IRrXD9Ew5LmAPZ7xsAN86LIN5fjlltu6bGYVTYYK91ll106WW7nnHNOr4wZ8/2mTZsmy76yCZgpOGvWrNlyCYtV9XT78kE4HMb1118vLS5+rqfBLPKHHnrItjNMGi+88ILjEzcf0uLyuR24QtTW1pbz85+3JrHfrBguf8cD+AOoF858QresKiZ/6uJnxdQtQjW3PPKyUh8M8UNSjoUmBkZXFBji3zrhLgt2weVvazjg+RgWtye73R/LpOzATHbGXwslK9Y5OuVpMb+Ocd3HH39cxnnpZhaWc1c45s6dK60pJil/+umnju+j4kd/QJ+mNXCAbrrpJjmBWROVD0heP//5z3vl/JwyzbmyuXHjxqKXrgm71UOWhjBwqyj2RPOycGeOf9lAU4sPoQYVITE1k4KUooaOqdUmdmsA3lkZw2cRHzx+L3yGvMJbDFlx1GhhRsVX1pJx7CvGY2QIeGmtifW6H37B6HSZI+I5Hd5koKEmjodmqth/mM9xn2wxlr2CzYdZeiUvX/C6UvqGFhljoLzv+1pNwU6axgm0sKgmskXGsNLYfvvtZTCaZSb51j8VGucpBUy7YJA9+ylKn74Ussq0tNKJikxkJDk6kdU9X8ZxwFOCrBJ+1A1VhQtoSHWFhLAc/IKwDhL30h921XDWuASqYq2IRuMwUtNY6TW66Pm95joK87ES4ksnYnFMrTBw1QwPrtzBwCRjA4xIWJKZISxP0lPdEBUbY34xproY25jjPlnIzOuUXgA64ogjCg6wU+aGq88kK4IPO7r/DGz3JeykaezAVfJ+QFZ9b2HZWVwkCJISc1LswFULpkD0Juj+8aLxKcP4VTlzxvg9N2zYYNNodHOG0e8/i+Ky98TPXj/qQyZMw/pzUjWkJtVoNYkrdvThh9sIyyGawHXvN+Hvi3Ws8w5FKKDBo1iukUyyFIRIT9HO8LKOaIl1mqlogZL19/Q2K2Ez8x1mF1pRUntSUq4aYK/4oNhGlKxPKl1+S+81lftuWmoP/CuFA+OJBGZUiPHa0Y/vjPcJ8orhrCcX4b8baxBrGEMBCqhiLDgGqvjcpojYUTyGP+0JXDjZObuH5VEkGjbezRdMheCDidaVHRjLZZF7X8FJmibT4mf8eL/99usvRnT/LH7mjUHr5q9//WunjGKWqNBE/9rXvtbv3BHGtZg1zRVQkirjbcxWLhUXfRDFn95XoXAV0G9K6ShOVtW0pnCbbmK8P45fCcI6ZSx19BJoSXjx4NII7lgYw/stQSj+oBTNU2VsR4WWWjAwMzT3zBSpCBtEUpUM3osJrRqbqdNUDPkePfUB7oYWSydn3jSzaGizEqk0HlMWJH/XUm81UjzEGFw6G9/s4GuFT1XJsKY8OwVeHlP8TRfno4rvo4tf2oRpFVKiOHKkirOnBDBziAFN1bEpnMRVzy/Av1dVIjJsIoIav5Mhvzv3R5GKjVHxS1scl+1i4LczyhNA/8lPfiLTZFjGkyuWy4WlngItOEoRUcHBLjXBTpqGaUVM3/nRj37U6yuUA5awss1WJlcy25eDa9fyvK9hp1/FZFHG23jx80NX6bsL50RwywcafHU+VGqb0xVMy6wQc1hBOJnEaH8SvxSEderW4iaMNMPr8wK+EF5fGccf58XxarMXmwwNiuYRE1YVLqRFAEnBGpqx2YahnaILylBSZGYKU44EKfX7DCq8GNZxxbn4BXUEaPRJZRpDWHGc/EyrMFLWn7UTKdhnWPtJiGPFTU3GmJKm9Xd+huRF6SafoiHNaSQpi+AEUZlqithM+d29ukVc5JloQhffIYmxQRPHjQHOn+LH+KokDOHqqF4fNiYU/PrZz/Hv1RXQh0+E3+MRFqrZaah5/NakcCc3xXGBIK2bdy2etBgXOu6447p1GydNmiTVUXsii511rAy1pF1Qgm4t3VAnl48LCFyRZ/pNubTWtkjCGgg477zzcOutt9r+jaU9dHMLS4I1BVlFJVn5BVlVaJ1zq9IOkYzZCBdoqFfHz7b34uxJ4vdoG4ykAb9PkIE/hIWtGh7/KoqXVpn4tMmL5QnxaY2koMIHD1RhcZCzLG7QBaEIGyepi+MlJWFUCoKrFvxXK/Y3xGOiSny22pdAvZfbNQR9qrDehHUjOMXjUQVxcd+WJWZI60e4rcL6oSpMW5J68IqwAIWLFUuiJcltKjbFNTQJVmw2VBmTI0l5xHE9JDNadOJcpQtrmNKii9MnFiQlbEeMF6y5y7AkjhrrxQEjVHGOMUSiMehiv5UVQaxtE+7hk5/iocZ6eEZMEPv1pixCs9PjgaTVLogwtikhSEvHzbv4s9zd7mN0//nPf3DBBRdIFz8Xpk+fLt2xMWPGlPU+ZCiFOYyfffZZfw6cl0RYg1pehkoHNLnXrVsna8BY3NoTlfQkDSfcd9990jRnHIN5LvlYWBd/GHckq3QcqMOF0zS0iom2qs2QOneaYJmE4kO7OCfNaMc2IT9+sq0Xx26l4Y11Jt5cm8CSMLAhZohXHC26lRHO1UaSzVBPAiMrVbm6NrbSxFYhRfysYZT4d5RwPUlYfjHppaXGSJealOJ/qqJabp+0kCxLyZTGFklLlQQoyUb8zOOFda9sZrEpqWFlVJPnv1Kw2qpwAsvCKtYIM2xTzES7eL8iduxhsFz4jHU+E8P8KkYIi4ryyTOH+7BzvVdsi0PXBVm1G0hSPF7R5Mm0heNY0xIVVqJPWIOeDkdVzSIhjjHHWjAxbnlfPMG9CVyzoy/ve4DxqHwWhLi4ROunXCAJ0QNhDleutIS0JzDACWvwqjWQJOzIiaRx0UUXlVWV8YsvvpBJp7nAlUbmvHQXtP3D/Bh++qoCf4M9WWUGuBlt4t/Dwi06fnhSuDIKRnjjspuNRndOxo+ES6kZwk0UH/B6xd8CMmazNm5gWbuONe3sfqNIdU+/ON54QVbja7wYGQSGa2Kaq3pKtF2YULoVuDIMXc5w/sefzaxwuiTSjEh6pounSJJVU/K9qrVvxbCsJ+G2thherIyrWN6cxNLmGNYlNOk2Cs6U3XZGVSgYFxLnF6DVlxAWkzh+LCGllZNSYT5puZDivZUBFS/Pb8JZ//sMi2qmombkaCv2lmVdIdvSEu5hrDGBP+xr4JIp3ZfZ0qr685//nPM9rEO9/fbbc+b3FQJaUUyNIEnmqhzJxKpVq/LWuXddwl4GNaecEjTTMQRmEV988cVlOR7lX7rLSj7//PNl5rSjSb8sju++LNyhoF+4XfmV2HDqNceTmFGdxJ938WHvhiTaosKEMjwWX6SWAxVBYBrjPx4PPGQv1tQlE5IoEsL60AWhaIoum0tIZtF14VYlkNSNVKsuJWNV0OwgqaJgmsiIv0uq44odD+0RpKqIc+R568K1TeiqXAX0qwyw65Aazvy0nkQiHpeZ7Hpq9VBJrX4mhXUV8CsICFK8+bUluOqtDQiPmIpgw9BUgm3ugSVpNcXE9xWu5d0HKPjuVs6WVq7WbJkB+D/+8Y9luc+oGPHjH/+4YCuNcap8RCP7O2ENWgG/7oKZ1EC65JJLZC4Yg5T5PqWcwAUBun0kQifkKrt5c2MC331RTEifICt//vWAnKoB4RbSWnptXUK6ZxUKS3SslbQOjhAumy4sEAap28NhtDe3IhKOIiZ+1/W4MHISUJJxsU38rVW8IlFEEqaMaSXp1nUI6KWjPyXkXcnUCosADbnqqCIh3MSY+NLt0Tja2tsQFi89HhOuYEycmyAmQZ4xQcyRNp5fO9rE+cVomNH9ZIzLitDL/Sri+we8Gja1J/HSgpVo8wQRqKhKxem6Pz2OfS3j7n4/vveCjjdziAKSQJzATjxMEC4XWRFMNSiErPh+SjkNArKyHiaDlbD4VHPqPJNtWnNlhCsk7KBSjFZ6GocccojcHxMFqRaaffM6WWCLWnUc8wLJKoC6kLUiV0iA3idMk5akB48ujePjRjEpxeT0KnqHTYSO3CpOaI/YqsFQNWmJxIS1ERPWSlyQVVS4fLrJvwlXk+9TtRzOU1kiEp3+JfnoKtcZxbFNr7CeBMEmGZuzLKmYuF15zqaqyu+h8+dOibbi+wkrrEJG/v3437yv8MoqQSjVI6EIl5wjoNFKy6NkiaU89VQ58gVx7AtJrEh3h80C9d9POeUU21hV+t4qF5g6w7hsd+ACDz2Mp556SsrV9KM8KjeGlQvMgTnxxBPlikwh4A3IC15KgijzX7g6yEJS3kAsqqaCqR32ej6Gt770ygx2s0ipBVoo7ZEYfjg2gv/bvRYjfFG0t4eRULxikqZTN43N8SZOdJkaYaTMDlpPWsqGMrIWAnqrJjHldJoa0pLI1rklUhliKdcvTcAKE0etWJhMwxBMH/Co8Icq8d6SdTj7wbfwgTkeNZPEuNOr0w2Zg6Yrat4OLQP+jesNHDgpjhf29zt+irJEb7zxhkxnYUzLTnmhVGSLS2aDOVSsheWrt6WZ+m0MiyTAAs76+nqp3zMQwKcMk1CdRPScwMp11i1SYqOn8Pv5MVz2pnDj6rxSDqVYamAGO2WCh0abcMG2Ji7cuUa4hhG0huPC6vDLPn+0Lqy00M3Jnczl6mxwmOiad95bhNU5K77TsWXyqNL1/OT5C8tMkFpQNYXrV4sl61tx2QOv4JHVXgSn7otAVShVHWB2ouG8Hwbi3e3CLfz9PgYuneLvs/vYKV5GciJJMUbKeTmIURhhUQ+KQWpKrFAJce+995YvWiL77LOPYx1cfwHVIn/2s585lkrksrhYqFxu5cd3xCTY43EdmnBX0nGrYkdQl5aJgkhcx1hzPS7YPoTzp1VDjUfQxOC6mNSaaQzKu5jKFF5VR7CyGqubE/jlQ2/g3gUt0LfZE5UjRsLUiycrvp+pIs1xMcaRKN4+WsPu9X3XJZp67yQnkhetOcZOmZU+SC2q4gmLQepcS/JpmV/+y9QBBvvKnRhXLjALmeY7SycKkc04+uijpazIt771rZJlnNfFDMx4MoZVYUvO2CxRdY856n4xMcOaB+2CoEbqTTh7ogfnTK1CtXAP2W7e6JiCg4quoCoGQoEQ5m+M4DePvYv/LY3B3HonBEaOkeoMpm5uXpIsEtSL39RqYnQohjlHeTHcr/XZN2bB8sqVK2XclS3jtiDkT1jdyQdnw+fzyWAfRci4DFtsE4eeBBM+r732WvndsqVpc4G5LLQ0KeNc7CQ76rUYnlrgRe1QDeWQCLXKlQ35/7iiIhzTURNbh7/vHsS3JgYRiyfkqpoy6AjLQIV4eKxvi+OKx97D//s0Cs+knVE1fLjl6iYMK16nlMGxFaTVtF7HMZPjeGzfIFx09l74orVLZYoeSlDNn7Bee+21ol0iSqgwabK/ZtkyLseyCmbFU/g/XzC2xbgB6wUZ8MwXL6xN4OAnhFVQ54dfQZmab6VD6orM4m5OKhiOCO7aDThiFIuDk7J7jjYIbayqigosXbMBP3psPl6Ibo3a8VsLg4paYVSpUOXPRhkicfx8O+shW+N491gVX6vbcvsQU1iTXsrbb78t6335bxqMo1GkgCVIfRrDopvHpdViwLIYlqn094tAxQXmuVAaJF/wApHsWFPYfRzPxAEvJfDyci/qasrXy1RSFRUcmG/F7PdoEt/ZCrh5NxVDEENbPCJTAWCqg4uyBBkFVT8MzcRvZ6/FdQsDUIYNF+6xkVplVMrWj9G0jCw0NgMHbRXH8wfkF4Bn+Qy14fNJs+nPSPfrZGoFSSpXvwWGg1gBUuYOWIWvEjLox15pPGmuFuYLtlwvVla4t8F2Y6xep9oCc1nyBZNGH3744ZxPlpsWxHHJGwoqU6uC5YvkWNLATFMI6xrGeBP40y4qjh5roK1Nh2ZGoCueHs6r6huXEKYfVdVefLG+Hac+vxHvJOtQW1ULTbcUHgylfOuc0sukrE9jAjfuY+DiyblJK1NmhrFd6l+V2tKtN0DXjnLNLHHjXGd+IuPYhYBdd7gw0KeElQnqTlPCgi8GsnOpF/a1WFmxoEVJhVF2E8kH7KvIIlMmimZjeTiJiY8mkFSDqA+Ut7sN6SqZutHisSRO3NrAH3b2YbgnhuaILsteDKl9MNhWCgUFGx4mpcuyoktfXIHbvvRCGzJOStZQgcJQ1LLSNK2sTVEFHiOKRcd7sHXQ3jVkv81sSRcuSvH+oMx2fwO9CpIUrSfe98wlLBZMqOX3ZCy73xBWJqiIQJ+WX5bkRfMxDQapqf3TXc1Vf0YhKRG0PLmCk41z50Txtw89qGnwWKJ0ZXzqq8KyiomJmRT+YLUZx6+mmzhnkoZ4NArdSMikUGaQD7agOy1GD0lJsFNlKIDHPt+Iy99uxiL/1ghWBuDVdZlBX5gb3H3yAwP5zRuTOGenJP7qoJ/FnoIPPvhgl+3UzOoPi1BcdGJHIFpRTK5mHCqX8ki+YFkcrbI+j2EVArpU7JrMrh8sWSkkKJ0Ljz32mLTsqD7KHoFsi9SbjR5JxrS4qIhKZdRsUOudrm92t5MPG5PY42kdptePSk/3MZWUCjLyeQ6n6+Pi1McS7uwuNQZ+t6sX+9TH0d4WlUmlGKTtv0xLMUvGqULBEL5siuP8WYvxVGQEqocME2OTlBZYYc049PRjIKdF25pUoSZjeOtwDTvbBOBZQ5hdXE+i4sJOuVqDFQJ2ZOLDlO4d72P2EChkkSkXRo8eLb2L3XbbTS5E2T2w+zVh9QRo4TAong0WMLNVOJUeKQfbG2AQleU2NPvTsTyuhtLC7CohYmKvWeLGXuVHXZ3Sbc5Vdq65mhdpmVatXSyGU8cruHYnL4ZqYbRRN0YZZIH2TtDkV1OVOAKaBwktgKteWoxbl/lg0C30WDLP3VmWBjILkcwMVfocYy4eBI2bTBw0ngF4n+372c7ub3/7m/yZq+SMiWb2HuxpsMM6H/D0fl599VXbh2wxYKIqJXOoM8cGKvy5F3LCBg5h5SPjQVCXiKt1vQXqYnMRgk8vdsy1K434KqJj3GMGFI8XVVr3xNGhaZ6aM3nZR+IDEVOFPxHB5VMNXLqdBjOZkDpXgx9Sz1k2mPCFQvj3+1/hqg8jWFE9AcGg35Kz6WbY9dSAU+ZGyf+oaIorqPYmsOxYFTUOcSmWhvH+ZcOHcnkaTmDPQ7pjVGhgHSvTicoFpvHQIGBly5FHHtnj38WOsAZMIkkuGY9M0BzlwLI9U2+AQnRs/ZQL9ywzYEQU1NTmuvU3K0xx7kQTkPGogFeQkNfamGvO6YwwJw0pZzyiUpMSw5F4oYUoAxF6KqZEJQcFPsFMY6v8qFabEY/FURXwCzIyctipzNdSpYwzRyrkU1Nbu19P5ehWCMOquUnB7Qt1XDbFnrAYEulpK4pBcuY+kaycGrUWCiqOsPSOyd/HHHNMv2hKMWAIi6sOVFBgxXp3oJvmRFhcmuVTh4Xb7G7T0wgLC+zW+ToUMXHs8oEsyRfD6hhD7SmpnZfEZGHzjqlQ8NmmODYmPYKA0q23lNRKn5JlYFmrhLU+DcNCWtro2AKQcnfl9+VSqI6GCj+qTMH4sQhMtSrNaZ3cPy1V8R1XdPjENdqxwWqy8Xkbu/FQzFCDUwOyTHj594AHN38exXnbUtu+5xWb2HKMhfyMEXMRyEnDvVAwd4ruKrusszMVFXv7W7L3gErVpdAeiYblNLnAAbcDV0H4tDBTM7mn2ywRf/0igZUbVFQ1KB3H7UJZphXkZdpBm2Cd4R4TF08xcPR4H66e3Yy/LPHBV10Jr5iMsq2VonRxE6XOu/h7lbAQSFpQEh3NKga9OyhVJ1I2jyCfKuEbhii7nIhaXEWRv4yxT8epZNds8YbpVXHctGsI8WgcP35lHeYptQgFPfDm4U5zr1VBYNVGVV7rnlZz4KoeS1+4Kl8qmHpDq4kldIwB8wFul47T3x5PAwrXXHONTJn47W9/KxUissEAPKvZs8HlWpbQZJLGVVddVZJgX7fxLXE7/3OxOJ7w6TwO5k7a9aBDElf5lE9ierWCA4epqFd1HDvSxCijSbjEyZR1lcwSrUMHKTG1wct27Co2R5G3IJip9hyMZfk1JpTqtlamKiWfDdlqrFKQ/GGjFexeZ+LrDTr2qowgFIkLvs9fOkNeW3GN/7HE7FAc6ylQObQUsqIVdfzxx8tqDiZ2cjWfc+nrX/96vyerAWdhpTFlyhT5uuyyy6T/TrOYK3VMJbj88su7pBQQXL5dtmxZl+0MTjo1kGASHd1HpirQMuPSbSF4aW0Sn65XEahSchSHKFKwTlKRIJygcFF2GaphZECTgnM7DAtgRsUGfLVpA4xhI6QAXVdNclNaZ8y1ooSMliGlsqVRViqwKNNBFCNpPwgKBQ9VxMXDYcdKHQeM9KUdRew7yosn12zE2ngAlSF/XoPItwRCwn1fp4hrnsBBwwtLluTDlMTBBzFXmhkvsn0ACuuRyZjFWFF07xj0Z9rBQCCmQUVYmWC5Q+72WRboi9OdZOeQTJCI7PDLX/5SWnNpMG+Gfj1zvng8muXddcC550vWhngFCeW+701ZsCz7KmCEx8AeDRo8HmEdhGOor/TiMDGJ3tkYRhMb2Khaqj272cXGkkoN4qZOGOhdodB+5BzSaWAbsZiuWzGtVMeeThOfcUKDbc2SgqA0YdFq0ONxWQ2w2+gQJn+yDGviDdBDfpnlZamyKqnO2PZXktc4anpwr7jmB3UT9iHxMI+PychszfXee+91ql1l6Q4rK+gtdPp+4hyYKZ8rZsWVdAbKuY/0ql6hD1qXsPoB2DaeN0lmoJ3xKzvZYuasZJIVwSYVXIFJa2pzdZBdeahK2vV5q2Bpu46HvlSgVeTOslZl0F23XAldw4gqYGKl1RWGFoDf9OHr42qw/Zeb8EpLE/x1tSkHEp0YSQoFCxJrZ8NSHan3KFuWlaVYWhXhWBzheEz84pEDo+hGasEidYUEkenCFdwqKNzAER5UemJob48hGPRiVG0tdh22DnNWhxHVa2R3a9Wq0uzGyhJHCGl4UBDWr6YlMb7Cfmq1trZKQmHA3AkfffSRTM2h9Z9NWGzrxYdlZuFxWn+OsSj+W+aCY5ew+gp82syfP1/WPjIT10kuJ7OsKNdT8tRTT5UxAbv+h8+sTCDcpqKqvrvVOjPlDkL2AJxUpWEoNWeSMcTY2iquY+KQakyvW4/ZSxuhC8LSbBavLCUBysgYaGJOhGmtPBpbkJUllTLEg6QlEkVYFz9rHmym7k7BRcSTOqbVmpjOzrBmArqpy27Rfq+KyUNDqPiqFe2JIcK09oqhVPJavmCKQ2sj8MJqHT+cZD+1KACZi6zScBIWoOXEe5i5Xcz9Y5LyQCimdgmrSDBe1V3T03333Tfv/XHlsjNhWbf1e5s4YRhT6pb6pOSLLiZYUItju2oVdV4xeRLsB6ghkTQQEk/r3UYE8eiqGFbGTPgCqoxTdWq1zhixmKxNCQWrw4aYgB7xu261X95CfEMWJXPFYU1rHE2GT1i3QdmjNbtLjp668WfUKBgV0MHyOY6dGGrh2iUxtcaDejRjLWVaSVimkrKEc19M61prmN+a3cRjcxyVWef5gNnjTmDCJpurbIlQ4cKW1FgQmk8mr10KBXsCvr1RPLl9zu5gRpqo9Rlxj1d7DUytZUNRxqE0qIbHSnpMxvG1rWowtTKGZMt6a2JmrBQqqT3S8moWxLekxUSLsBa8Xm0LoSoz9f0FqYiB/HRVE9bGvILYQ6ksrc0WFn+OijEdEzCw1xA/NPFwiCXi8h0cc+ZxTaoLYmyVR447h99UurbGcDwPMeZvbMgkq83Xn/Wv+fQ9oCTNrbfe6k5El7DyB91FuoZshMmlZLuyICbZsRlrNha2GVjSLgbX093tvfmmpgfT4FMwjjWx7Los3BBFtZ7UiWQUY+tC2LnOC3+yTVoCSvZ0VSyrQfAUFrQJKysiJrDHir1o3BdpdFCyV/q7mfCoGja1xTBvdZMgbg0+nzdFZYY1QKl0Bj0h3OwqE9vUsjrAK1Nd5H8mJX901FSFMKnaC0WYXnTVVfkIyk+YR/UDcxtNLGzvmsTF+jsmNXdxczwemVbAmCqLklk0vYVptbsuYTlAkmIjTL4owMZgPKWimR5B9cgrrrhCBt+zMWeTgXiET9Rc0yxljSmqjJF4hFW1VYWKoXJJ0eiQOyaS4t4Pism468gajFoRwZKYAZ+/83FpyzFL3itYclFLGAsaFWxXw/2aHfIqyiCMwJuyJ6Fcy4MirJulKzZicRNdOWHNaB75ndVU1j8Tbimb7BOvbQUhDfckYcZiMvZnplrdMxjv83oxtlJ8Ni4eDmY9fGr3Ge9phMSMamsB3l1vYJsKdHHHqQtHMmIZDa0tFg3T/euvDVsGHGExsMcJypUHpgXo4unPFbctDfz+XIHhqzu8uZY91D3w5GHRcEKx5C+kJrFdpYka2e7L7BT+YIt5stb0kUFsG2rE4vY2GMFqqHrmfgzZEdkrJu+qqII3Nyg4dIwPQY+Olri1GpnKhxh8Npahwi+7Pat4beE6LIz44N1qqBSpYBGBzKNVrHpCYVxJd3DXIR4E1BjCZlhYpcI1ZMxPjKEuXEqvD8IlVBBINiGWFKTmCcjUCCXfCWVqmL1exynj7N/DBGa+tnTQoqUhwBV4dgFi/iQlaop2CW+44YaOtl2M1VDulC8+FY499lipC+WiM9j6/TUmIvvyk3RhpxtDPNWrBbFsX8PAOxu9ZNcJKkgkYhhXL9zCBh+0RIu0ujLjWLo4nMeQi2RIaEG8sCaBdzaKSSbcIk1JyORU0xxMEYCUuoJpSGfNFwxhdVMYT85fhya1BqFKS4DESJmVsku0tFbjmFKVxF4NpuTuBPzyKrB+kOkLCdl1WsXE2iC2Fn/yxJNWHKtTR+xuzsun4ZW1prgXdHdCZIG1vKwJZq0vJcXJJ+QYphfxZ1qbuZSLHS0sBp2ZNZ6JdO7Hhg0bMGfOHFmAyfq8tN6PHRobG6UGEFVHS2n9PlDwWUsS81uEK+bLx41I1cCZdPmAIYKtvMKeinTJgzCQNMSTX7g4Ow2vxJClYTRGhetCdiPhWfaTZUmInXk1FV+0GnhlRQz7D/MJN0VBe1wBBrwsVrr4xsrqlz8rSWgMFgpz6q1FK/FhowFt9Eh4xLZkqr6QeW6muNVpuQa1JKbWeTAmyAxz8V5hCXMflu67wlJEeV3qqvwYFlCxNBkTY1op3cp8XWqPsNDmt/JeMDGjZnDd30y85lwupmky0zmYB8lmL06gVBNLh5yUfR0Ji8HmfHDbbbfh5JNPlkHDbLCshdIaaaI755xzZMv4YkDXlBIzDQ0N/fqCftpoQo8Blf78JiAnX1I1pVJARDb8VLuYvTJQbFqxrW2H+jBM3Yi10QgCFZVSnI6mgspkyBQnecT/WrUKzFobwcmtCibXCJdGj1iZ3wN+3dBMBdJVWVdJhglVVaK5LYbHPlqBJq0eVXX1UmWV5GNpLrDdFxBJJDFWkNAuYgxDglRibaZ0A+kuyrQF/l+h4KGBRDyG1vZm6L7hKddeSXUl6v4MWVXVFlblvTBQCIuGBetq+S+rOpi8yp/pttE4Yd4hf2d2PuNtZ555Jn7+858XdAxKP+UiqzSYY8YwlJ176EhYNNMKMfOyCYtmHc27zIxcWmKsa2Lb93zB2qlf/epXUoyMhMWVObI7V1xYT8gON+zIwyVj/sxAOZ8AXVU/ewdcIWIMI98WA1wypxvXLObJp01JHDTSh6DYFstYRldk/2JhJcTj2KqmAnsMU7F4fQuieiUCbEGfkSRhuZkmfF4VH7d6cNeCKK6cEUR1wI/2cGKAJ5Iq0lKyyEOXY1IVCslA1d2vz8WTy5PwCrfCK9zg9EoqidxI3ea0uKZWebB7rfi8sJx0pAlIlZYng/Kqxyp6Xrq2HUs2iSfPKA+8Kbc830V1zfJFMXeTINRx/btujwYEm8NwRby5uTmvzzCpld4XpcALMUBYbJ0vnOLkjoRFOWKWAXR3EO7YTsCORJVdt0cwcS5fwqJYPwmK5QxpZJcrOIEC+IyxdSeET9lYBv4Yl+OKH4mvlE4fi9pMGUjKtyiG7wuJidKa8OOt9TGcOA6Y5BdWlm52OEFpyyImZmGtz4PDx1fh5bWbsDhch2BFUE4mM6uVFUNoUdWH+xZHMDYUwbnbVaIiII4TDYv3aqnqxQxZ037uK2amYFotYw34/cJy9Abw8LsLcOPri9BYtyNqG4ZZiZ4pd1BPdQuKyjw3CBdZwcRK4WLH4qm+hdg8FpS2ontpaPhwbRs2ClcwFKywVmCR/3qFYmk2Y3F76TFDShr7/X45D/li8XK5mrmwjR1XuosFDRBaWdSqywc/+tGPcOWVV3b7PtZROjXpcCQsTlzGp/ilyL5kUxZo0rqhnjnBkgDW09mJfNHqoUmXrZBA3Z18QX82k6wKAU1XZqyTNO3Ymn9naU1aQjat8EDLjQXOtObY5ILfjWYstzGVgQXQTogIt25JKxOiCjNjaCG1qRrmtwnCa0li0ghhNSlJqde0WeFdkcH4gHBhpo+qx4RQE5bFIlBDQWk1ZZeOeOnqCNZalajCXV80YUQQ+NakACp0L9pZHa1YGlxKKkZmxYX6b/WhJX6YOjfhnvjFQ4WE9caClfjtc5/jS+9WqBo9TqYoGPpm19FIfZbxqu2rFew9zJT5bQk9c8CsMWaMirlcTcK9/GBNk5gEQ6AKyzQpc7QUFBS28WhY3JYU94SOYI6WXpxXnF8saM52wagcyu100fjwThsIZ511Fm688caSx5QSM6WCZJovfvGLX8jvQRlzwwoWyhAPOYXJ2pxrNGZYK1lw0J2g1AWT2DLZngPK6nIOXK4SFkpYMCh/6KGHdophkSTyBWVdSgGJlYREofxs648FqJmrEWkS5r9pkrWz5nJZbhFxDVgaU0g6riJjT0kExYfWxTzCytJx2HBNWEgGYrpPXKBkappylc+QCaVjar3Yb6sKzPm8DW2JWgRpTpmdrSRdOpLC0vIKIgxX4qaPGlHj1XHI1jWoUtvRLiyMpOK11Ags+yHD5ekfpJW2aFTDsiC5kucxhRUcEBawP4gv17fiuiffw/stPlRMnQaPuCf17JIlpGo5DRPTaoHthTuYjEdk/lvm9+R7NK/BGxefLV2HeeujUGqqxHVQ5ehAKbAFrRj8xjh19gGnUuRLL71UTt64cPVzIfOhzXv2pptukr0DSACloNTOPTz/QhVJ2bjlggsukPOSq4Q0asgpdpJQ9vOlh5tQ0C+m20UmJUkUAuoEnX766Xk3MbUDA4nZLcIps8z9lvJUoSxIdlnOu5sSmPmccEM0MYG0PF1CQUJx4b8oSQ+iiThm1Mbxz72C2K4yKtw3Q15MRVFTc8sqvwkFvPhkQxw/fm4l3sRoVNZUQ0u3Zu+gHEFYprX6FRG0F4/EsUuoFT/fTsGRwqUMiIkYi4QRY4G0sCqYXuExdBms7h/doU1ZY8lFCFPSL5NiNTHJLIvy+c++xO+EZfVScxChCdPgqxkq3T9aX5rZuWypJamgRonhll0hc6NibWHEs57VXEGsDvqF5aXgisfexd+WiuNutauwYH3wMcdN/qflbYG266wwiOOVg1XsXu+xDbnYdYDKF+XopE7lEYZzuKCVCwyR0ONiyIRzifmYRx99tI1SSY+j55tQ0ErilysGtNIYEGQAnUH3NWvW4IsvvuhkIucCWyxlkxVBZi8FdBdpfWUTVnvSRFQ8jv0FjCrJiIXMMa4U+jQsaNLw4koDU7cPiidzk8zrMmTYN5X1zpxU4c9s1xDC4eNCmLeoHa2JakGQSseye9rW0hVNWCTCelPFhBcT7/1oNS59Zz3mro/jzJ0aMLbSCy0aRiRpuYR6vxPRslbmvJ4kAj5hDXiCWLWhGXe8OR//eH8Flpv1CE3eBcHaasSZIKqbMshu8VVaBcPSeZ9Rb2DvBlNG3hOGD1bWbUosmR13qCqt+fHWF6vwv/nrEK7fAaEqH7SkkVqPLCzOx6hARNwL4aT9eNqV6BSCcvT940IZLR0W8LOKgyTI0ActOmpxcTWQ4RD+nK6rzdcS6ikMiNKciy66SL7SbikJi220Wf2e9vmZgc9VQtZiMWDHHoUnnXSS44U6++yzZUpGsbBr3roibNWA5BvCMlKBp+2qBCklIvi83YcWM4BZq8I4fKwXkyoqkQxHOt6XJqOosKZCviQOnVCF/37ZjPcjCRgkH5gZAWor7qILsvMYCUvXSVhmKzECty7aiKWta3HBzrXYdXgdqoQloEeiiJqaMFDMLgF89Lo2vJW0oImBDPg8kqjWhpOY/ckS3P3WAsz6Ske4dhKqx0yAN1Qlrjsk6WvCukqmy5CkuoKCiOClejWOw0Z6MDIoiCfRBl2lK5zpEhoICKu5VTxt7p2zEEvMGqBiKMb7k9iqWsfcjcJTgE+WOeU7DrKaR5iCK8KWkmk2uMLNB3AxoLVDV7IcYDbA1VdfjYGCAVdLmM7DIuunFRlzSXHkWuFgisXjjz8uNbKXLFkiLToGPrtrKcZYnJ17u6TVlAV9+RIWLRp2yNlTPPmnVnhw04ctmG/U481GDx5b0o4LdqyDz2MI1zi1oiXr3YSDJCwJk6U6wyuwz7BWzFnehESIpShKqoTEKtXl6pfB9lfiMsuW7kwqDaho8QzFA2sasfL1Zpw0MYoDx/kxvsojrDS/IE7hRuoJxCkSwaJpM5mq1VOt0hWugKaOUSopWSF+LdXCTJerq6zbCzBl3+MXv/vQ1N6OF+d8iUfmrcabq9uw3KiDd/wE1NY3yD6PXEw1TYug5eKDkl5KYLKtKcjMwLSGJA7cKgi/EpW5bqplf6ZaqrGsR5yDJ4DnP1qIZxduhFG9E+qqQjh1rIaQ2Y55S5uhB0aJt3SNFeaysBj8WtJKS65rasMtt9wiE6m78xT48E3HeGhVcSGIPQuYFb4lYosufuYyK18E/XgSFlso8aVpmowRMCBK640LDUOHDpWNL5w69/o1yzTJ9znM98V1BQ3i7v7+tmLytTXhqk/WYU20Hn//Upj91W04fnwl/EZSSv4qijXVmNgYEYwSqvTjhClVeGn1RnweqRBWQdCiNTNV8Kygo7WYTIs0JS0IQhC/Vdfi9UgAH37UhKmfNeGAkV4cMa4Sk4YFUS8ssZDUbBauou6RYng6V3WUdL5XeYLycgVP7DPk1aB61FSHag8aIzEsWd0siLgRT3/6FV5fE8Um31AxeyeitmE4NOZZmVa8ysqOSrl2zKOytBksuZiEga19EXxvkh87VYrvHo0JEhO0LUjRkJ10ktDE8f3CSvtybSNufPEzfOUZDWXIKHxrawUXTFHwwqcbkWjeBMM7StZqKnq+dGzdBAHN/k4g8TC8wVAHewfQ0iEhsa6OrhgXtbh6xngRkf59S4er1pBhZhNMOuUrbban4dQYwPFmzfONCuIyXcEnJtBZ0+uxPr4e1y5uwxebKnHbpxFMqotjx1ovEm2WiijtJErI0LIICBdmj1EhnLxtBDfMX482/1gEveIdutlhv5hdHDvLVVRpyVQG0Rb3YHakBh8uDePxpWshvER8bXSVtN4m1gVR6RNWF3v8sXxFHFstC1elKJ2mkaojovkQjSSxvqkFn6xpxsuL1uGdZU1YHPah2V8PjBqOyvoRMj2AgXVmZchVPRNdOwiZFmm1ywQrBUeOVHHUaEFOiXZB+ppcYGBcT1ZxCvapEORHhvvX7EWYvSEofP3xOHi8hvPFA4QGlRGPia+uS3JTzPJOF8aFqEDKlwuXsHodaaWZQp6DMvuJbp5B/SoV5+7UgKZkG25ZFMfza1Tc8Vk7/rRnHZjQ3doeluJ+MsVBTMZwIiEJ5fjth+G99SvweGML4jW18MEq4+naDsyqNmRkS67Aicld4fVAE6923Y9Pon4sbg5j1sY2jEQjJgqjbfpQH745bZggL6+0BnWk3cFSnvaWaxsULt0acbz/zF2ED1dF8OWGViyLAk2eWkT844X/PxSV4vuoAY/kuIQYIxljS6V62iVGKSnTLSEs4ym1urCughiqJQQx63IRgnWFqmG1AAsF/FB8FXjovcX4y3urgTGT8a1tK3DhVC+miQcFG4jEGAPkeCm6TWzPhUtYAxhRvZCJnE7Z9FnxGwgLRlhMDZqKy3euwtiaOO5YZOLBxQnsWN2O06ZVIOhPIhJLpApUdOn8RKIqtqkJ4sLpVVj11ia8Fa2CN6jBZ5gdBTtGhhvHvC9VScvaWVYO1wj9wnoJVFQhHqoUVl4tVkcT+Ki5Sfi57fimIEWvYONEMlG2ADzPzuOhSKEHLy5qxKwNAaBmIpTqKmH51cpSIkauyUl0w5h2kEyluGkdqglph1ftcFX5HiZr1gqr8PStfdhjmCCqcBJJmdMmfhbjHBf79WqCiPwVeGneKlz+5By0BYfj8n3G44wpPkwMJmBGolC8qqVLRs33lDuubIHN01zCGqwoqLg4TSdiCukU8ePk0BGOJDAk6MNPdqjAvmMV3Pm5ivs+3yCDv8dOrpGTnCLkMl9KWAwJMTl90Qi+Pr4OPzM0XPDORiyPNKAqYNUYqtKa0lICdamW7hkTHKnwfFrvibv3CLJoVf3YfpgPP5qhCetKE8TYLkhDuEUdLdxLjF8JC49W0OghQXx7r+n45N1WrK8bh0BAgaanugQam8dJTZ1jdv8yy/E1ZDNTfo82YQVWKXH8cIoXZ2wj3L14G8K69XdeHpU9IMXY+f0+vLpgOW6a9QG2HjoU1xy+G06YKEgt2S7c07g4Py9CfgOGeAjFSf6m4VpX/cGLcYegfAhoBUWwrF53YiLFk3R1rJxzrsK1CSsqGWnBzrUxXLtbBU7frgbrm2NY2piE6tHkyp8pA9SKnHxhimPFkjhmXA0umKRgSGI9WuPCqlCsFQBNkJaa47yUDKtH5oQJbyhkxPDNUQb2HimILxkVpJpIBcXVst14sYTVLPboiVU4YowXarhZbOOagpFy2zYXJjk1opUWo7CadOEqtydUVBkRnLS1ivO201CvtqEtYrmQZlrHh6SssbNODAtXrMF+O4zHnafsg+9M9EOLtqA9HEdMF+fC7ypOIRozxHcXY6CqLmG5FtbgglGgt2AtkGtS/4quTMC0nERaT1FBYt7WCGp9Jk6aXIFVbcJlEqRhxMKCpPxSBSvTzmiPtaNCrcCZ04cgjib8eX4TVier4Q35ZDdpTbg1Yo85J50p7T0FYo5inDiZw0d5ETTCiCZiqXCRhvIVSgt7UvMIF1e4wRUqDhsfxKwV67E2UAmTzTtSgXErcOR8PBIVi5VbEiSUKH44ThfWaSW28scQDityLPndLZloC0x3iAtCP0iQ1ZC6elQKcoq1tcnFD10JWC63YjnSMd2UXaLd6JVLWP0ezPJlThbTGig+xlUd5m6V07xlILhJjyPJnp9iYqhxYWJo1rJ7jGuIwv3zGnGMDKhyopm61YlYyTJ0DMWDlmgCNUED58+owciqMO4QpPVuuBZR4f6w3FBNuVZpRSkF6TKczfEuHsNrxjBzuIYda8TfYoalgKqUk6ysY2nCMkoISypoBrHPKAUHj1iHBzZuRNw7HF5lc36ImUXx6R7MpOy4OLe4GLORnihOGa/i4mkVGOmLIyzGIgmrrMmSl8moGxTXs9LjQQ07O+ttwjJTZK6a5TLrMrDv8XpkAXN7Qkc8lTKhmIV/++7en04eLZcCg0tYgznkJCwb1lNR0YG1gdRtp9YPk0hZP0WSImnxfeniaJYJsZTBrvhZBt1NJf+wOwtqhasxb5OBN1fGcLhwi6oEGbXEhQvHhE3VUtZM6KqUAubtn1SterauRocq86zawlFUBgycNjWI7Yd48YePYnh+bQyNWggBvyJTGL2U7uXKJCwd85Q+nSQAWolDfQnsP0JFwJNANMKv5OloJVY+WMmdHK1oNIbhlV4ctnUVnl3ViA3JIfB6U7noqSTVtI6XVcdsSidXGEkICLLfvV7HDyd78c2xPmGlCrIKR2RJjqpYrTzoQquZKq6KpdNq0iozrfQGVYmLLVabr6DmE4MUxNzla/D8/DUwfEPh82gFfXtrtdKy0Jxw8cUXy2oLuvVUYGBRcy6sXr1a/ptOu3EJaxCA5TkU/bMrnckE5WXYCIBddAvBBx98ILPcqU3ERNJMTGSZlceUSY3ePFiL1k6FZmBRm4rr3o8gEvXg2Al+VAtSikRofZBeWMWWdmnUHHlQaTE6r7C0kqhIRPC1+hCu203D9KVxPPZlGJ+EVbR6A7IDT0cQWtksMsP4vFdMMDYSnVxHdyyCmFST6plQpwz+cw1BkE5A9WL6iEpMrmrD2rggHG9Fx9LA5viaIWN9EYMknhSWVAwnTlBx8qQgZtRRfz2CtkjcSvBULHdbjrNp2EbtzI7WZ5pcBKDNVukTRBcIYd7KRvzy0Xfx2no/PONHQPN4CuJrmdgq7oUJVfbSMpRtylRC4c+8n7JlydNgO7m0FDkrLbqTl2EJ2zvvvIPRo0fL2llqvjlpTA0k9LhaQ2+Csq4nnHCCtJKYSczCaTtLiPIyLFzOJXbfHagD9v3vf7/TtpfXJXDAcwb8Ab8ghfzubjosEVMQVCyO6dpG/HCSF2fsUIeAT0wncZNFEil3rcAsZ1pKfmFFBUIKIuLyzlmdwIPLwnh8jQfLo34uHMIr+cKT9hVlLpgvEcMPt9Xwyx1UDNHDaI5vzi/rOVNX3IBBr7BGDPz8lVX40/IqeIYOh48GK+sDuaIoCVVYZMJdHeUxsEe9B0dtpeLorb2o98YQD8ekhSvdurz1XtMiGKZUr/BV+uRAzF68Dv/35EeYtcpEcPxOCA4dYVm7Zv4ucUxYV7ymLx2sYf9hXc+Honeshc2EkwLDtdde20X47pprrnGUlyG5UeI87RWQCElYfIin9afSyr2UqaEWFbPsu+uI3g/Q2isWFqu/GQei1AvlZlh+QAuHg0Qlh6qq0vmSJEWB+3QdIN056mDxBsh+sjz99NMlkVX6hstGpRhNZponzHyniiLze2QqgXBBP4424Mp5Lfi4RRDX1Ap8rcGLSsEqbXFhYXElMNMa6o4Ixc0YFxMsGU7C723HPqO92HFoBY5bb+Ld9XG816zgk2bxJI7HxPn6hHvlQVxM+ApNx861KhpU4Q7GFWu1DD3c/UV8paj4joFQENMFEXnnb4IRGQrdZ8hOQLXCPa4SburIai92G+rB/kMNzBBjMzooCExYVeGWGJLsv6gGpKROvrlidDc1YWJWBLyyc8TC9RHc9+5C3P3BSixO1kGZMg3e2horbmYYqZXZ/C2soIf3hOl4/2QTlpNy5x133NFl2+23325LWJStyXYt0/WKLC9L45lnnuny2VNOOUVKHudSZKDVRrkoxnM5fzl3t9lmG/kvS9v6tUtIIuJFZ8Ew66KoX0WXicxNNQWSCDFv3jz5NyooZoPBRnbIYJufUpDWfM8Enyp0+Vj/l4lS5WWo9LD//vt32T6hWsOwQBLLwvk85FOJo4JUfMLtqxITrjHkRVOsHn9f2IQ3V67H9yeHcPKUOoyp0GDGDSlVQgfRiseY3ROiahX3RuPCvUzoqPaJyT6aLx/WiHOcJy7HghYTK9sNLI/oWNYax1hPHDsIS0MxGGxOyvbVvdGANSGsJ67PTR0awsyGZoQromio8WNsyMRE4VZNFM+0bSrFv5Uq/Jow+5JRxMJJK0ZES1GxwvD5pKOnFxpCUggiJBvZzpr3Fa6Z9SneXC32Vz8BlduMQ11NCLyU8aRF3IXYuAkxdCODdAnt/87YFR+w6QcnawWd1ENYZ5hteTnJy5QiW0NJdJIO9eLsQLkmuw5ZJLi0pcaQDL0b/s5z7E6lt+wuIZ8ClHBlUJomJkmHBESJU1oxtJxYONydamIusGr9hRdeKOmLUM/HrnMPSdPu4jIO0J28DC8enyS0COlCkuhyCZdRInmPWQnMbfKhNk8xx4hwwxo8Oo4d5UVVQMeHwvr5eIOCtcKdqIo346D6OM7ZeTh2G1mJCkEh0URUjL2CwutgmfOlSwFAn8cLr8cqG04oGtp1FS3CJNgYSUIV5zMipKIaURm4ZiBaRc/312NgnUoNTeJQy1viUDwBVIcCEJwlrBQFIdYzGgnZCSeaNKRihVwqLTLbwOcVRKz5ME8w933vfI6H563BMrMeVaO3woSR9Zg5tkKezxNLIlieDEhLzFNAEKspqmDH2hjePtTjKJHMxZ3MoLsTCVGzinHTtNAe615nz54tiSEbfJCyRV+xcHJLqbJ72mmnFbVPigQ++OCD5WjA3JqTsBgYvOqqq7qVWykVNIWztd+LQfYT4LzzzsupG8Sn0QMPPCAtMd4QaZ+e1h4JmMXPdCdJWPkGLE94I4ZHFgvCytPLjYqnd6Vwv86fouC8KR60hON4e6Mh3MIAPlqXwNLVKzFCCePIcdU4alIlxD+CeDToRVo9ZirXi/aInIQe4ZKqqrAgdKtMR5BUNGFJs0DVUgXavVOOYgpSYslM0BuQiw1UpeChDV2VFhhTIGRErwTVAn7UJ4iOuvaPfboCD7y7CJ9vjGPYmInYZ/p22HGED9NqDEypV/HEJ+tw+atrsaZuG/grBGnlnWgniLfVwAkTdTy0T3ncJJIb3UB6NHzYOnW1ohGRj2yNEyhpzl4K2eACFedKsTjooINk+64SFSecCYsn11vttKkNT7+4HKASKFfwGGDM1nLvDVzxURzXf6iipsaT10RnvCuR1HFoQwS37R7AqCpFWq9smd6S8GBpWMWCDW1ob23GGOHD7DKyWlhvulTYLD2ZMdXYwbSUT5VUO3szXcojM8HMVGutnofsviwI08uWW1RgNTenb1g3uply54rvCEuSppu8YO0mvLdsHby+SowfMRzjhldiRIWCIFM+NA+rp3HJox/iz4u90MZNQTAQTHXONvMYVQXNTQlcvrOO63YK9Po9SC+IYRY2sKBnRLkkegskMz586YbaeUR8aD/88MO2OWFsWMFehKWA87JEHS/noPujjz7aK4PLnJJyqSemTWK7+FJvYSqVZFVdJiJ687ixVTUprZovmj14f1MSRwcEWSRjYuLqaBD+W0NtELs2VKHdqEA4EocvmZTB8fJkXispkrJCP9bivypdQC5yMpWiN7VGVUmUzPo3JFFJelA2F23LMVOAUvLB6FKyJnLskCpMHDNCuJycAjEZEzNjhszy91dUYsGaRrz5VRMSldvKVV8oSt6HlZdHZXpI31S+MYzx7W9/u8t25hQylsyFL5IZ8w6ZAsQ4L+NpXGF3whlnnCGVfXN1ec/5oBBuMTtS9VjQnf5xKSZgp3iBzycHh8Jk9JFp1k6bNk26XBzYcqwS9hfsUKdQKBMx5jRp3cdtOBE9YjJsSnrxaVMUh7N2z2TjBNayqfDFIuLv4iUueLXKchZTBt6VstFIKnu8o7hX6UgkVXq5iw5J2iIlpVM/xvRqqnVapcXTzFTpd6WmyiYRUSaZ0qLltxUuHxstsLHXkvVtWNiSgGdshZgkHpkmkq9rzB6Iit/EDvVav7o3Q9QogtVnIb0iOXPmzLw/zxVEyo6/9tprkrwYU2PSNdv/MaySK47NGFipXbByBt0ZYKffmbkUmga7xpAx2QaM+uocCCaocYWArhiDgiQmLnem8z+4klAOhu3viIk7e9dnEpjX5EVtMB83SLFyjZIGDm4I40+7eTHBr6MtZqQmbsrCMUuL3RRCXv0LPXhOZoe/KTPp2U06IB6uPmF13fD0Z/jF+y0ITNgF/lBFJ4mebl2yiILta2OYc4QXfmXw6wswS4B8kc4U4CIBrTjmRTImzF6D++23XzkO5ewSkmAo3coAHMtXyMhcoqR1RALyeDxdMr1dCDJXFcwcDsxbJ27xoOY42dJbaU3R/RL3OD5q9csVwgljxTNdjcogM6ToXG+5Zf1R66kHzynjAUBLVxMuqc/rw+qmdry+rAlG1Sh4ghVWtzHDsobNbnI8pGUYT2K/4UqKrHq7gUfvg4YIX+wxSNh1gi8Xuo2msgtrrk6sWxo2bNggzWAGD50S7PYcquBWlRnaWrcNKf4/e18CJ0ddbnuqqtfp2TPZA9lIAiSRRQybyiYIyCYoeo0giA9ZBAQFI6iIIIIQEB6ReFXAC0/ZvJctRg2iFzBsgYRAAgkh+57ZZ3qmt6p6//Pv7qTTU9V7z/RM6vgbyWw93dVVp77lfOdjKsYLxyuIqU1E1IubTZw2TpMWKDEj7liQa7HXQTFxnA5Nja9Te39zM1Z2iPelqQ5UJOjiPVJNZN2LHV9tId9UcQ6kRoh9QakQs5CkNbeDHMsGziHIDnZauPTy5JNPlnosjvtQk2Un0jt8mAq3X5GboDMlOjLZ4RCyNEPgzxt4uyWMrSIddLmTWqtowjPUQVnjOHGIVS9TegOLV23HLvjhC9QlHBrM3el5tuS1h3spq0zMarK+tNihmzVrFg4++GB5LpWqTrzP3FiG0ixhKUC7D+bebMGysEiBHu+GduCYT/qaMZoXf2JBDCtlHSvzaR73a4oXfbtjJkYqPbjnU158dYKCcFcIYegpm58dlAuUx1bVaFi+qRtX/L+3sNg7EfUTDpRupnSG0Iy4u0a2t0FkkzhqdAyvfc7VJ7pijZcaKRatU8GpkGQ65aDAGta+guQ4EYnppZdekiM+bBTkCg5BpxMWDWCOHGZg5U49Yx0rmUbwMnAbCvyqim1RFX/bHMVpIz2o01yI6vQLjZTNMcFBfKaQi6UR8WDhsk1YGtbgHjlcDn1H9URlKidVg7SewLHDrFNBKsjTyYqgoJKFaQfZsU8SFtuwbCg8//zzWLRoEbZs2VLwY9nNQB4hTtqHjfimFi3DmU7rk7hnU2LdpuLDkrYI3mo18bkxGlxdvdJPHEpm4nNQRJrB4XO3ho+3dWDhqq3o8Y1AXXWdlDKoibpVLkdeT+SW02qsU3hOS7BZxUgrFYPAJcEhrP4EBXNcYc+7GyOoJUuWyMiqWBxxxBG46qqrLL93+hgXAtUxBMWfqXVlIqx4WkjZlWbqCGjiwulWsHBLDMeO8sDtExFWL3/GIavyhFcKfNJnx4O/r/oIS7vEezJ6nPS/0s2UWmNC+58htpLvdVW1js+Ntn7D2aSh+eOFF164+2ts93PSIx/QbuaZZ56R5zUdcE888USpUt8XiG9I1rCo4mUERT0IVbxM+eiBVQqMHDlSuj/wgyvDM81GXfpWGL99T0N9g2uP5idDaqgkVlZ1RGM40NuLOw714KzxLvQGg3IQGXuJKR0UftYnjrcZl8YGqn3YtKsbFzz6Gv43Ngq1k2bKXY20Sk5d0JFRrCvOg/Z2Hd+aEcNvP+XN+Oc5NsNGDr2pOEiv5mE4ZueYQBx55JGYPn26FHdSQzkUa1hDhrCY2r322mt47rnnZLG8VOAMFu9ivBOyYEqiSiqGs+HFHVGcvNCEr9YDX44kw0uCE3w94V58tSmKe46qxmhfEMHemPRjKnaWzgESFsmqXKbqcxnw+uvw65fexXUvboVxwJEINA2jU/LetspZ0MvJy84wXjxNwUkjPeUJBsXzoWg7l+yA5pVf//rXHcKqNLBA/sUvflHetUoFjhDxbnX++efjmGOOkZ8Xgni3MIKVrW40BJS8Vth3xxQ0KV34xSEKLprmQ6i7R0RZOuIepZqz0LOotIL/r4l/RFBd48eaHT244ok3sKhnFOqmHBrXXhm5K9t5C2kLAgc3hvHeF7wo10IwEhYFmlSRZwMnUTj0nMmMbzAS1qBvPdF1sViy4klAjdUdd9whHRVp5cGpdRJWoWQVvyQUXEKvwLCOaI5jNcnVptXiotke9eLp9VHsCGrw0Whu99YYB8WEV6ZcQRFDtdcv/uvGf732Ef69Q0TCoyZJRx1OSOdzQ5D7HyMxfOsABeXcXsjyw5VXXpnbzVLX5ciMU8OqMFB8R4LJBxTtMYLi4Oehhx4qvYXKdScKmwamPBfBpqA3Z1O/5IhuL1UR0W7cOF3F1TOr4In2oCfEJQsup5aVX2ySIKp4Ks1Mz+tSpSXzE299hOueX4GtdQeicfJBkP07w0yMl+ckZEBbL7BfIIKPzu6f2UE6qbCOxZtr0rc9HSxf8EauabkPYNNDi7Ve1mkrdOxu8OuwxowZk5WwGEHRdJ8ERcfQYu2Y8wFP4MumarjpNXFX92kZNzDvfRkAVaqJoOLBf63pxcxh8TVgWpSe8dHEpefEWvnFVpQbsHolItaqKqze1oL5L3+ErWhC3ZgJibTLiO+HRNLKJkt0xfcgHMOVhyv9NujMEgg/uBmHwmV6wNFxl1YxLOBTF0gFfT5kRYsnZiu0Pad7Cmu27D6yeE9nFSfCwh7RJu2RuaCCs1U0CbNzU7QCi+2nnHJKn6+zW8IZSB5wev3QI2igsEmESvv/jw7N7UGNlgthmfGiMOK1FDq+njcyiLtmVWO/agXd3V1yV6CzjTjH+EqqPs241bNI96pFZMW9gzc99W/c/eYuKAceharGUTKupWmgltgtaWSbAxUf7REF1a4oNn1RRZ02sHYyvIZo5ZTP9UOQ8EhOduC1xJIJLcjpz87rdKAirH4nLIo2eTegupdkw89TwWFQShKy7RVMBRXq7A7SnyepS8nn9wsFJRMk2//+7/+Wd6YzzjgDP/nJTyykDiY+uyiEVzZ7RbSnwDSyE5aJPZ5QtKypEqnhpZMU3Hgo9xbG0NUbjXuaO2lhDvSvJAS6BnweL9w+Pxa9tx6XPLkUm2oPQL1IBRXNBXO3MWKOxXbxPre1GjhtcgR/Od5reQPhBMVPf/pTmWrRII9RjKpWVumYXu30q8oFFL6yU37mmWdKHWK+GrJBRVjcxkGz/WxtWY4pWK02qhRwRRkL9I8//nif75G0qKBPx3udMRzxfAyGy4cad+aZNENa5xm7S+y81IIxFVWRTvxkpobvHxIAQj3oioTENeLaXZtRCriU4x9a4q9CbodhlDGQNOjSFOkMqrP4nbTWMRORUs6pQyIJVOLiXC5N5eIJrz+Axau34ton38Cb2nhUTzkEXpcm/17yVSfvJ2qW6KqL23SiYbx1hoZP1PWtrnAZRLr7LS903lwrCbfeequ80RYCEhZFrP3kddd/XUKGq9/85jdz0pDkM8vXn2A0RZN+FuqtyIp44YUXLLeOzKx14ZIDgVhXTCrbM0HdXSROeoCqsmvYpQbw8OoeLFjbA/iqEPDGrWfkinWlEEeHuAuBTH1MXS6A0FzuhNN7XEKhmP2XdvIV6+L1cHJSoyOokow0VUngkNSdY7c1YfusJKyfNZcqyKoKyza24pYXluCtXnH89jsAbo8m024zRXOlIruNiZxOEDehb00zLcmKsIpaeDOrtO7dd7/7XZn2FQJOj5Dw+gtFExYPPgt/NKnn+EumPDlXkBQqCXxd3PLMPJ6pbDZQ3GeFOQcJQvBH0RGKr4jP+U0y2XzX4fdrWBWpwZ3LOvG3TT1QvfWo9brF96NQ9UJc/mjDLH5f11HjcyMkUs8Vm3fJVfcetzc1VOkHGPAK8ugRPPnqB1uxpb0HgWq/nB3TTRd0xZPo2hk5kRVHnXQlJv6Pr0VBVVUNNmxtwY+fXYy/7/TAN2EGXDW1cgmILok7j6MmfpbvoeaL4QfT7Z377ay/mVZVEvg8mbpSIV9IfWrp0qX9F33n+ws0r6OinB0J1o5ooZy6IJUX9rx58/rsIMtlmSKLhYzCKkWh+9hjj0nPK9bacgVTRbaFrbB/lYZfzVJx1StRhAXRuHNMvHQlHi54+eN+H17vqcaNb3ajrVPHl6Z5UFvlRo+40mMyhcr9ypObj82IeK880F1+/OF/38H67a244tRPwedxIypTzn5yzOS2HMEEmiCXBcu34oW1Hbj5rE9iVJWIr4JBhEy/iLhcOXiDKfEUUHZSVQR8AUHsCj7a0oIfPvc+Xtjugn/STAQax0qycunxu7aR40skaYZpqNgTxb2fVbC/377QztEtRuWp9kR33nlnRe4woKznj3/8oxzMfv311+XMLS2PmRlxxC1TZkSZUL9F4fnUsNgqJaFw6DITOJx54403Wtaw+Pupd5rDDz9cdvO+8IUvyCJepRQkWUf73e9+l/PPcwkmTf7OO++8rD974j8j+OcGNxrrFFkvyh57JC18xYWoxRAREUcwGMFwsxU3zfTi0hl18IsrLxoKozdq7N6EY2XPS8NAafUrFy6wyeGTg79/WrIG333mPRxz0ET86twZGO820NUTFgRoJGpk5Sesap8L3UYU/+eJD/HE+hCuOfETuPHIOozw9KK3W0dEELKa3JABm9cn525MeFURsQVqEBUv8sXl63DHX5fi5a4GeCYeiuphDfFYTaetjy5Tal3NUXclHr6tw8TJ4yP4+wnZhXUUcDJlos8ahciZunGVCjbGmFksWLBANsRSG2WcBGEZpL9qWDkTFrscVvvKrPC1r31Nrr22q2Ux/OQ8HuUGlWhcxqiKkWIuoPMoB1jnzJkjW8o51cI4Y/i8CX+9SE1UM6dNd6kXqSzJiy91RCIYH+vAJeN1/MeMahzQ6JU70nvDsbgfPJCyXyder5JmdJxJ0xR4RBQcEQ/01Bur8PO/r8AHrom4+LMH4dZZVRirhtDVG074nvdHhCXI0+8RgUsUVz27Gg9v8qBu5GhcPlXFnE/Wok4QqB4JJ5a8qrJDSuNDM1G7Sy6IpVLd5/WIm2GVINwYHnr9fcx/dQ0+1Ovgm/QJccxHxm1gGI2aydkBNTF2ni26AoIiFIt0RfDmOSo+1bDvuTMx0uL1y+iLi2fK6d9uRVg5H3HWqUpRg6IFRqXbYPCOkQ3M9dmuTo0Yc8XnRrpwxtQwXlilwzNckwsOsl8qe4iLFMeV86xfbVIb8MDaZixracZXD67FWZP88Fd74GfaIks4MeimLiIIbjwWUZrLw22iLENjW3sPHv7Xu3h4yWascY+Dd/+p8Ph88cV6u4ts/VV0T3YsXdA4eexS0eEdhkfWtKI3tBUXHtyIw4d7EfDKsAVmTBepGX9PpNYkLz5N8TsybBTE9eG2Fjz0r5X47dJtaK8Zj/qJU6HVNshuoEscb2M3EStQcizlk/AjbTrOOdAQZOUp+xGho8N1110n/dpoH8ObKCOagQTNACjAzmc92IDUsHIpxnH34G233baX389gBIvrTz31lOX3eNJQjHruuefm7NpgRUCPHu3BJ1siWNuhoqEunqLl8nt76k+QF6nP60KHNgrPdffgrTfa8OLadhw/2ofpw6swptaDGo8mLmjxoXKk0URzVxibWjuwdGMb/vz+Dry6I4ZQ40y4Rk2EW0Qmph5FXObQ38IGRb4mM7nOTERPVYKcWlyN+N1mN17f2Y4Th0dxwrgADmryoclniijKI35UkwcjKMh5V0cvVmzaiVfW7sKidW1Y0RtAbPxRqG8aA00cJ74yRY/HU3sSwDw0V10mJonn8NBR7rIfDY7dUDKQ3PVH8qLUh7KZL3/5yzK95Iq9fQ151bAo109fKU8FOYVkrEOdc845MkysZHBtGT9YW6BgjiM7Vrjsssvwm9/8ZvfnPEmoVSnlmMKbrVEc+ZwOze9DnceEkQ9HJNTYbPczQwqJf0VEuqR3tmN4pBXTq0OYKohwtF9FrRpfUtoS0gVBhvHBjjZ82Kqjt3YM3CP3h7+uETGWvSI6Zo+L4eZDNYxxx+IpIROl/giyBOkEfEwJTVz77Ar8brsfNROmiRSPr0tFKCyiqq5tmOrqwiENGib4dTS5uITWQE8sgtbeGNa0hvHOljZsjQVgNuwH74hRCNRWyxQwZsY3FClmPErV8mgLkr7bIgqMUAivn6XhyMbyExZvjHZLTghuTP/Od75jWSsewshPOMqLfO7cudIgj0tUGWmw+zcYFqSy08eiOLs2SbDAz4UT3HJtR247d+6Ug9LlSmPv+jCMG/6tItDArqGRYwpmJBIoLVHHMeVaef4mowiDV2c4CKO7A0qwFZoeFpGTjpiILgxfNZSqamiBKrgCjSLEj5sLRnRBgCJ9/Pr+On50iAfjPCEEe8LycfsnIzRlDYtNg2ueWYnfbfWhdsJ0GRlGlZggVDdUEUXFouI59XQAwQ6okW7xNZHy6iRtETf5a2FW18MrXp/HG5A2MTEzEY2aSfd8RaZ2+bgxcG9RUNxcfvlpA9cf6O2Xw3H11VfL+b5s4EQHf/arX/3qgI6fVSRhDUaws8luXypRpYK5OBXJ5QAFpFxCS0LvW5zcU0j/zIthvLrejYamXMZ2+v7+Xp8r8bI8owpGbGbMiLsPcI2VokMREYviEuSmJvxNzThZRA0RQegxfHmsjlsO92KCJ4juYBSGuOrLL8VSZCpYK3LAbg4S/89K/Nf2AKonHggXn6cZJ3KmZbFEOqzIF0g1fESKZlXFJaMxfuxWdhi5p3y2EH+/vdnA5ydH8dcTPLY3FKZslPhwX2UpthxTNsR1YKmSoUzghmVGW4y67HSAQ4GwhuQqlm3btuGWW27BgQceKO88dmSVJJVSg8PK/LuUOlBTRskGo9G9rUD2nPiPHe1CU20Ybd2KiPqUnC9yy89l6mPKiEJTDbg9ijiBqfLW4BIpl+YRF3ZiBYxqmLutm1kPYzS1sQfoDMX1V7qqyfXt/RBexfVVIiJqDcWwrVekbt6q3YX/3S5T4rm6xIdboXJdfAj+8IqozOvzyfXyVMfLE5qvyzCLJiu+F+3dJprqIvjD0fbD5lS0s1Rw8cUXy1Ecbkind3sxmDJlisxkcpHJEDTr+/73vy+1jJxZzEc7OJgwpAiLqnuGxyQKdvAoocgGukOUEtSrcMyBkR1T6CQoxLML8ccHNDx7krggIr1o7Uk0ukrDAyL4MGQB2xDEQ82XbsQdCZQ0/ZfslJkKNnbpWENDS9Mru2+qUV6iSnbq5EsWRLqhtQsftXbD4/eldITMtOwx/hrk6+Hcoy4ni+LzhiWKBvke8L1AJIRnTtQw0medGvMmlH4OMTq65JJLZF13zZo1BT8H1qloJMlz6uyzz875Zv3nP/9ZOphQuZ5p+sQhrAEEC5Q08yMphBgh5AB2+kpZtLz55pulpOPjjz+2/P57771ne+EeM8yNx04Sb0ckjPawktfojl385TIE4ZjsojFS0sS/ld0ffX5eiUdZzRENrzVTwOmG360nRqKTpGGWmKwS/zIMqaynRGHZ+jZs6RHP0V9ja5zAL2vJDzO+4FRGabKoXjzD8ti3huhzFRLviYZjh9kX2Zubm/us7UqCBnpUgZNAigG71hww5vnDaD1XcN6VDTGSV6YswyGsAahTsauSy1ApTc2oZeHsY7EnUhIcvWDK97Of/Szjz9F0LVN6N3u8F/cdK5Kjzqj0dC+WtFiM5wdSPlQq3W2KUprLRFjkWn/fomPJrohIy1xwaaqMaMw8bFdyo9NEdGWIVJVkKdK6ddvbsOD9zYjWjhTpa1UiWjJtH2GPpDW+jys58FwsWfHYozuC+8V7MXt8Zr0V5T6ZDCEptGSKxlpmsWDaSY0g0z2e72x85QL+PEmPZQr+fqWaC+R05gyFojtTQK6WzwZa2zCi2n///UsaVWUjKoI1tVwtPOYsC+PONxV4Gz0IaHnKHYpEVFzxUXFCf2lMFPccU42Rnih6glFETIozjZQ0ziyetPhwalTO1nGJw8/+/Armr+I2h+Pgq66RkVd/ukWQrIK6gnBLBLcca+InM7xpqas1eO7xHMwEavaYrpXSijsYDOKee+6R2UU+qSdnXTmZQZeGQYahUXTPJODkxUBNFbs48+fPLxlZ0ZaZko5cyOr222/Py2+I+wiv/qSBcGsUwRJEWvmQCKMd0+fGCyIt/N3KXvTENFQFxIcWi0daZqI9V0zkl6g/0feqptqP3qiC+f9Yjv96vwWRUdPgC9RA46xjPxL1brJqi+DqI3RBVp4+EbAdWOjmajnOwtqB87dMH0sJGgz8+Mc/ljUzZgzZSDMJjtlde+21chWYE2GVAawJkZRYhLQCHT+tuikshnLwNNcZyJxpvqtLzkBmS0Gp72K3KNOJ3Leus+fiuGZJCPe/rcHT6Ea1qz8irXjkRKearqiJibE2fHOygoum12BctSJHdvRYBNGYDsMoYNFYYibb69ak8hzwgCYAcxe+jbn//ggtjdNQM2lmXBsWMxBTlX7RrLJ21yFIM0ay+qSO+47w5xRZ2UXSbPikg+cLiYWjLeUCVfH33Xef7FryBp1LeYS+8HV1dYMmwqpYwmKHj6r6J598UnbYSFgcMr7rrrss7TlYlGRNim8aDfaoTOdgcqnBAis3ktC4LGNaJ0JuRlb52L1Y4aZ3w7j9TREI17jR6IPcRlz2aENEP1xd1RvVMSwWxGfqQjh/ogufGefH8CpFap2kPXOywC2tmu3SxMTXlYQoloaDIkhr6Qxh2eZmPLl8Ix5f3Ynu+omoHzdZsFliljHha6+WeURIdgNZYA9GcPMsEz+dWbyGifYsFFjz/OUmGgqPf/vb39oKlMsBpomMoLIV29evX1+RBgSDhrAYtbAuZCcBYNTEN3+gwFSQ3chMURVtdOxGfgrB3R+EcP0b4qLyeNHoR06WNKWItejDFdYpmu/GyGgLjm0M4/AmFyZUqRhWpcGrxldmmQkHCDMtINnzabzQrwsi6goZWNXSg8UbWrBkcwe2KtXQxk1HTdPI5Agh+muOkTorKV0Ii8jkWBNXT82tZpVPJM7BZeoB7UBhKKOcTOdUMeAkB68lK10YG0WUTBR7U91nCYt3BJqeZUq1qHF6//33B+w5UnczbNgwy1Y2Vcb3339/zieAYRjS8I8nNTuIPIFsj836MC78p7ia3T40VOc6LF08zORyLPps9XaJSKQNNZF21GpRuJXY7uchE0TT/jLn96PiZ7vCMbToKkL+eqjVTfDWNsLj90Mz4pWx/nCTl89VhFZt3eK/0RAePUHF1yd4M75PrFWW2tOKURDdGEhY7Fyzzlkut11eM3fffbfcachzmPVXZi6VaCY4KAjLrg6VDorxFi5cOKDPlV5fqa6odKl45JFH5MmcK9ha5tokFmuToMPp7NmzbX/nnzujOO9fOto6PKgepsKj9E+0ZSjxxa4kJ0PXpfGdEY1AjYXljIwpUkJTuibscVROja7k/J6aKNabHKHxwu3xiQ810Sw04op6M257U84Ii48eFn+0u9WQCvYnj1NxwgiPbWTFKInq9dT3iaNeFIYWA7r1srSQDnaxaYBZLrDwT1U81fiDEJVDWBwupilYJnCFF2ta5ahN5Qvqajg7xhkuRkb5rLRnRMW7tNXrZc2jqanJ9nfXBXVc8XoUf11Pu1AP6NlXzrpW0oJFOpUm61VmSsFdSfmPmUY1KZrT3RWuROFdMRPRlFTdp/JE+dITmQLSgKI7itMnGfjNkS6Mq8o83M0uHC2T0sG0n24fhYI3PDuTSxLZD37wA6mdcrA3YVWMrCHTllpqV9h54V2u3GTFOUDaI1OhzNkwfm4FRkcM53nS5kNWfDyekHbkTG1NJkwMaFh4khe3Hymu8lAIrV2mHGQu12UuLWykPbMq1fKKocixHtWMGyeTbNTkB1IU6NjzdflvY8/niqx3GQlhaNwkJx5dKWV7DTxGrZ3xY3b7UToWnODJSlbyBmGj7+O5kY+FttUN2g5M1ahOZ8fRQdp7WckpIVMtpki8w9ktdig1WZGIGDklwVyf0VQpJuA5MsRahd2WEZ6kHOfIFf8SKeLXX4lhS6sH7gYN1ZoJc9DsVS2lcj7DX0noqyLtOiY1RfD7YzQcPyJ3t1Cr3YKpYAOokHlU1pG4z8BujGt3GeCf/yyJ+0M5QdHqmDFjijC0HIQRFuf6mO6RMNhhYyjON5MnRH+QFUGySCUrgp/TF6tYdHR0ZCQrWomQtPPB8SPcePsMD846IIJoMCKXI+joT6Fp8clm2dI/rvoSx4LHJCKOzVmTI/JY5UNW8hgLssjUlWY0zvQwXzBrIBll0+ixrlmpWLJkieyK01mColVOktjPy5bofa2kA0DtFPVNPBDsytgJRfv90ioybGHXk3NgdmTFDiEtcdNXo+WCkV4Nz57gxz8/r+Dz46PoaotKXZGiKBg0zeqSxm2mfO08Bt3tUZwqjslLpyryGNW7CjMjZASViZTo60+leb7gHCJviNQWDjawpMHsI9mxp3qeFs6cq6THXLH2OoOCsAYabCmn70/k56eddlpRaSbfwNTVSKlgIyHfyMoyEhjllgZztx9lwG2G0Naioz2Wj7/WYEd8bVl7TEVbawxuoxdzjzawUByTE0YWry5nrTJTpEVSK7SmRR8rEpdVtJWpazyQyGR6yaCDXVRGX+++++7QrGFVCkgw1FPRR4gKZc4fFlq/4mMdffTRtpEVyYpLaXN5fA7Och4tF4Hh6q4Y7l0Zw39+TB9ycbEGVNS5IVXj5hB7v0jHtMDpoDd00IDLF8Ulk01cd7ALU2uy71jp7u6WN5NM4s5UkJSYBpa6ppUEJQ2c2GC0TW83Zh2ViFdffVWWb7KBdegNGzZg+PDhJalh7XOExToVt1fzBCWZlAuUJzBisyMr1kaoJ8tl8wkHVRluk7A4nsRwO5d156+3RPGjpTre6RBRR6cIP7wu1PnjozeDnbiSNapOabIXQ32NgaMaDNx6mIYjclwSwTSPI1T07WckzRk8eqRnA9O/TKRUrORhsIDn5a9+9ausP8eN0jQTdAgrT7AoyAs/CdbJWNwvBxjmc57MLvXMtZBPDyP6faXi0ksv3WujT7ZUaVuvjkfW6nhwtYlNrRrgccFfpcCnFl+fG4iYikKT3qApl8ZOaNRx6RQVF09SMUqujc8tBab9MKcm0kFvs1yirfQt5qWOtAYL2DjgNZTJ2dQhrALAA0r3xVRQ+0XVbyk9ipKgTofqd6s0kMOxuWyJ5hgFu6fp4LAqh1bzRUdUkNaqGP64wcR7zZSYiyitSkOdJ6lQNyuWpAzxdDu5oq9HF29cDDMaTVwwUcGV01wIFFBMt4uSSFYkrUpIDwcTnnvuOcybN0/OJqaCUgeeq05KmCcYWTHCSgelE7n6COV750mfOaOLBGtWuaSBHN2h4p1pYDq4YDN9P2R+MLBgSwxPbTTxtPgIdnNEhpGXJhc7+F3JDbsDQ2Bcw0XDhhDXepGkBNHS4qG62sBXJyj44jgFp4/lMyy8Z5RJX8WIIRefs4EgrZiIKjeF2/Fh11a4VC1Rw4McmZpaMwqT/IIYXAPXaKE7BF8zu4f0CeNqPYqwS4R9h7BITEwBUpXrVM0zNSiXRxFTOaZurJEcddRReOCBB3Le1nvWWWfh+eeft/webW7z8fbOhI+6Y3hpq45VXQoWtwDvtdNsDnHludcFHhqvGveMUspEYMm1ZHSGiEbiNSmGfP4qE4c2KDhKRFPTxBl64mgVU2pcpbnwYzF5Qdl1b2krnGkYPRWMpBlRZ4qUuWQ4b4jj8UrzSizv2Yg14Ra8374JH0e3YUukA5HetviYVFJ/axpw++owyTscE90jMbV+NKb7RuETgfHi+E2NjxsMfuxbNSxqnah5YseNLVcSSi5F1v4Gc367djajAg7OlgcGVnaaeKdFx+JmE/+7gx1HcXGHtfhtnKzl1mRgw//wRs7it0vJHIslRwUZNfGDqxJjRiI0iHK5oC4f0+U1ME1k58eNMHH0cBWHNaqYzrXVZVLfZOp0UbnNmc9iU0wiX4eRD1q34OHNL+Gv7cvxXhdHuIKJzRvi7uFm18QDxeXZu/5ISb8eFQc2FP/gv2kvrQQwMzAFpzbMxPcnn4MRgVqHsAYTOKu3adOmnNvYAwHqvuyK8qzFUTGf7Y5PLQzFqpx3zBbf2BWqQ6aOFe0mPugwsLzVwMdBFWu6TbSHTewMqyJlUxDfA5/klNQNO8nPzSQXxvNMTUROguxG+AzUeRRMrVUwRaR6B9YJcqpXMaNegbeIbdNMxbkaq7q6WnaxsrnNXn755VK6UmxqmCk95Nzghx9+mPX3dwW7cPPqx/Hg9kWCyLcDgTqRpjfAg8KW2ZKvInxzRESG7nY0VE/Ft4Z/VhDXuYK4qh3CclAakEytdiry4vr1r3+d8Xe5WIA2uUnk11HMjpChoztmYm23IH9xE9/ca2BtlwGvpqTuwtmLCk2Z7pmYXKNirF9FtQgUJorrJSBCM79aulzlzTfflNq5JJjysYCeTedGqxXaF1uBxJ+L3igTabFjnEnNHhHH8xernsR9W/6GttBaoG6UOJ4B2nCU5LjI90Ac53BUpJGdu1Dnn4g5+38Rcw48xyEsB8WDzhTpk/os4HOKPxPsFiHw90plOlfJYBc4vb1++umnY8GCBRl/j3UsFobpfZWO+vp6GR3lM89K4Sf1SRSl0r+N76cdaf5505u4/qPfY13XB0BtE7zuBrn8thzVQkX6kikIR1pExNWFTzfNwvfHn4ezxx6Rc9TtEJYDS3zve9+T0RS3R1955ZW49957s/4OhbCUTKRjX2mv20VKixcvzioS5pAxRbl2RFiKvYLp+MHyx/DLtY8AVS54AmOh6mY/Oa4q0FUT0e6NdDPEDZO+iTtnzh4Mb7FDWJUMKvLZzcplNRmLunZLDngRZ/MRo0UIZRSMKCoNjHDoOca6VCawUcGGRTq4yPSpp57K+ncymUiWMkoNRXWc9+Yd+EvL30X6Nxo+tTqxPq1/oSiaSPFFbt+6EReNvwAPH355xROWM/xcwWCnKtc9ir/4xS8sv86UJBNZMW2hRIIWIfw5K7HrQIGWPJQWsJPLGcpsz80uQmIRnstDsoHiRzuk2w4Vg1PfvBV/2fUctMaJ8CmBspGViSzdW/F3fUoVlCZxbDf9EZcv/W3FXxNOhDUEQLkGdV5W4H46O+EeazYsUqcruyn3yMefvhxgZEmPsPRZzL/85S8Z3TNIulameGeccYatri0VXIRy4YUXliWtDkVjOOOtn+Mfna/CXT1OLt4oPgHc2wiR1a8oCZCKWyMSL9xTr0UrC80Ht+aOO7Cm1KgUqIgqUegdm/C5huPx/Kyb4HO7KvFUHxwRFvUw3PFHy4o//elPDkOlwU66QCPETCpjDoJbjaHkcmFff/318rFJBBTf5gI6EdAvibOU2X6HE/5Wg+OMljKB9T4rUCaSbfFtMkrj8t1UsJHxla98pej36ey37sY/dv4FLklWpZLhmgnKMhE2Qoj2tnIvG4Z7G3FY/UE4tulwfLJxBqZUT5C8Fg02IxLpRsSMJUhLkRsg3aYLWv14vLhrAc56e27FnuuuSr8YeaJxAJjpAUGnAhaiU7fW7MtgNMGishW+9rWvZfxdO3fIbDKAG264Qa6MIkh41D6x09bQ0JCR4JK/w79LMmVtKt8lnsuXL8/4fd7UKCMw0iQBjNh4DmV6jkn86Ec/2u1TxoiNCyFUtbh7+5wVT+HvzYKsmg6CyyjdOjOaFYb0sAjf2uHyDMP5+52KkxpmYHrNOIz3N6FW86NXRFqtsW6s7NyMxR1rsGDX21jRsRohTYPbU5NYV2vCbYjX2HQwFm1/Fo9s/iwuGnd0xZ3vFZsS0sGQXu4cZ7F6k7iuiBtr8gEFo0yDuB2aJyBHcvgY/WXBXA6k666S4ED3xo0bM64ht3KCICiktJq7TEa7Vks3Mk3k02pnxIgRfb5+2WWX4cEHH7RNCalHS0/vaKvD6Iv1PTvwnLnqqqv2+hrnOKnTKueqeDss3PEeTl98NdA4Ml6zQvH6KhlVcdFthKMIUZw0YhbmTDhbpHTTs/7uzmgnHtv+b9y27n/Q1rMNmr8BbtUllfNMD0N6K6rDfiw75j5Mrh1eSad7ZaaEXDDJIqsVWckgWBxYFotzAYeE6U1EEeGECRPkmATvnocccohMafg1dtd4FyWhDSZwMNrO5ZLbfjORFQnBaoCahmuZTOPsorLUvX3peOeddyy/niktJDFZPQ8+b3r/ZwINGGn/kryhUYvFYeeBIKuIyAYuWiHO44A33g0smqzikZmRIKuAVoP5n7gaLx52Y05kRYxw1+K6/U7Dm7NuwymjPg29tx0RIyoDAT4/r7sJ3eZOfO6tWxGJ6RV1zlcUYZGIeGf8xje+kXHdFfe1Zeue8c5MvyIa5dGYjRYXhoVymJtsKAngVDnv6BRsRqPRQUFYTI+tjhO98K0Kx6mgdS03Gafj2GOPzRi52lmvZOpE8r2ystPhe2LlRpEEO5xWoCNANvAmRakGZQoUjmYi73Liro8XYmfH+3BVjS1RN1CR/4tExXHTDTw883J8e3RhcosDfCPwP4dehxNHHQ0j1IWYaSTmqGNw1e6P9Z1vyefvEJYFuHiCUY9dVJUEPawef/zxjD/DQVS2wvPdZsKLh6pkRl5WAsxSRUUkZP4NjnAwPS0Udos4OcKTDXaGa9kElnaF60zWzVy2wMgtHfQiYz3SDqxzWdXTrMaWrMB6FeUaA5a/iJvhL9c9DdSPhKtEy26ZCkY5HxjuxAX7nYIvD/tUUY9XBTcem3klRgfGIRZu3728xMW3pX40frnhaXSGex3CSgVrVbSozbYiiAJApheZIoBrrrlGtp+LiZJ4Z+aFm4vYMB8w6iMpM+VlpMJ0jnKE9vb2gh6PtSGri5Qq+WxIN1rLFtWkRsF2RGwHRrZWERYfK9Nrp1DUao4vV4uegcYPPhIXe2iteO0NJSuyM0fQo0Ec0HAQ5k61VqcvD27GLev+G2cun4tjl/4Mxy/9OWavnIc/7XjNMiEdrdVizsSzpAQiasQSiacJj7tBkNVa3Lj6yYo5pgNedKejJv2CMoEExWgi28XEC/Wee+6x/B7HK9iC5/LKmpoaWXSnzQyHW+kvZadwfvbZZ6U3VbEggTI1skrDCv0blAmwo5UKtv3TF9Kmg+aAw4YNk//dq7YxYoR8frzL2oH1IHrRW9WweGztQIcJmhemg3N3Vq6qSbADyjQ1n9+pBKzt3IXJr14BBDT4FH/JBm7CTCtF+jZv5lW4YkzfVHDu5r/ihx8+Ks631rj2SsYkpjRApCjg5FHH4qGZl2Gca++Jhh5EcNDiG7AxuFFEtXvS57AehBrzofkzv0aDb8AdHroGVNbASCMbWVE8yJ/J1BUiqB2yIitGNJyUZ93LCmeffbb0XmcaecUVV/RJ0RjVsdaS7e9nA4WYVmQlw/ICN+bedNNNcuyGNTo+BlPBbGRF0E8rnaySpJ6JrDJFWLwJZLvp5JtKJomORfb7779fNloYQRdKViw7sO7H58oOJRsx5cJvNr8ERLbDUzsVZolcF+SR18No8o/EZxqm9vn+X9vfx/ffny/N+rTACPEfdS/njIgRxqIt/8DFqoIXDvkevCmqpip4cFz9gXi0ex10EYdpieRLdQVg9GzDKx0f4SzfYft2SsjIJhN+8pOfSBV3NrJg9GIl7GMNhOJDO7JKBfU7rFul11r42Nn0TNnA1/DMM89Yfo/F4GK293BchSksP5I6p2ywK1pni2CZ2tnVsLIts7A6hrSm5g0lG9gt5PAx38tCt9Gw3EBVP2UUbLDw71I6UxYIfnqu9R3B4nVQS0RWuxGLSI3VBF9fucGDGxeJNyIEt69BUJHWp/blU0UqHRiGF3e8gafERzpmVO8n1fAxY09d0S3f1ggW7HoXlYABJSw7IuHoBYvC6RYrdqAWKT1ioCUtU5BsEUMqKHdYtmxZH493tv+zRYJ2oG6JUZodKLosZONzepSSz5ZsO3NARrOZQOGllRSB6WW2mwoJi4Sa1GNR7U6lfX+BurLULjH1eLmsqCoEr7WuwYedq6DI2lUpIR5NpIRNnlrUKHs3I7oEUX3Ys0VkfT6oiYUiSp/fNuHSxA1Z78XLLX0NBcd6G8T14uHdJy0FaMTTO19DW6Rn3yYsdslSO1osprJLx3mxbK6aSVAcmW5qx4uHBFOI7oYWJfz76cjHeTIVnEGz8w1nSkyS7E8wErNyv+Sxz+bowJ+xOqaMrti9zQbWGPn3OYhM0sz290oJq/eANcxyYGnPBhFldYkopzwVF5eFV1WHICEpSlDULMFf/GcCrr5NEJeaXJO2N2Gp7hq0dq/Fv3at3LcJiyDZsGPFoVOezDfffHNev29lapfJ3TEX0GYkXcfEyCI5HpQvQViBM2t27gLlhJ2cgXbK2SI9vhYrkzumtbksdk3WuspZO7KDldSjXAPeH/Vul2b3apmsrQyL9Js1J03JdjkrMKLdLHDh5KZP9CX1UIu4+YTj/vCpRMY/pxp4ue0Dh7CSqSFnA8eOHZv376ZHC/R0ylZzMnKoK7C4mwoW4wuxGGHqkw6q6xldDQTsXEtzqaORsKzkItRZDYSKPB/88Ic/lPUvRon0/GK0x45nObCifVN8YUThiV9JU0mWRVhID4c5GN2Ni8adjNMb+9YO3+5cB8R6RaS193OXfvIeD94PbXYIq1ikbyPhVhw78GLjXZV3eKYjdpuZCbbo0+tChRAWoyh2uJLRCy8SFuEHAp2dnbbF/1zcCNLlBUmUcO9cWUEhMecQ2fXNtUGRL3TdwOrYThGW+POPnKTjQhSRaFB+hM1owk+hQKJKkFVIPFYs2IyRvjH45Yyr8fBBfRdlbIy0YWHzu1xdZJly8uvr6PQQNRzCKgbpgkWrwdzUE5ZiUNa9KOLkVH8m1TSjtVTkOr+YDo4bJTt5HBOxGgTuD1B0a5XScfjbjoxSwefNY5Ze15ozZ86gOV/4Gso5prOltx07RWrFCzw3UlHiRCUim2ioXdxVY5joH4PxfnGzjEQRioXl3GBBqSPJKtwlIiQXvj35PCye9TNcv791VPn7Lf9Ce3CzCAwD1tGd5sOOSDO2hNsG9P1zDXbCSl2Mmg0UiaaDQ7GsWVkenLS6DOcOC0W2dVP9AS50tQLlH7mC9UE6QVCgypsDJQL5WsRwJKelpWVAx2bKhRVdW9DbIy7qhnpknnNW4tEPdwiG2+HzDseZY47BV0YdjZmB/SSRvdqxCtev+SNaIu3w5huxccVXJIhqrQYPzbwcX26yH+FZGd6GeZsWAt4qQQiqZUKqqF50661Y3bMFE6uHOYRV8AtII5VMvkVWnueZdEDp2qJKr9Nkg130mW/xmfv6+FEIuHKM9STquZgeczwpH0lGxZ+PPP/YbcugS4tbw4gbIK1hdB3nj/08vjvhdBxds3fXdIp/JN4TUc+9ax5HTERsWh7JIUdsVPEcfjb1/Ixk9VF4J2a/ez9aQjvg8jWmPsP0i4FhFjR1YClj0KeE6YsJ7CQEBPVaHM8hqAyni6mdtTCRLizMpubmRcgRolwcOwcClIpQ4Z0Kfs5h7P4AozL+vaT4lPKRXNfBlwsU3lI0bDfSVdgFlWVaQFrDdMsI7J6D/w+emHl1H7JKYpi7Ok4WeVbhDZFiNvlH4Csj7Zspj+54FbNevwnL2lckxKa79973fc6J76n9sNVnSEdYTCtSZ9syWY9w8p9kwvoVCSvTnZ1aoXSdDlv/dqAT5imnnLKb5HgR2HlVDSSo9Kbim+kx/2tn1FcOWNlbUy7CmmKuyzbkxWgYuOOOO7Bu3TqpgudxLwSsx6U2XjiQTt1cMUi4VWVI1RRZr0IshrtnXoprx9hPF/Qihse3LxaBjQsuRc1vgFrzoD3cgZfbP8RXm47c61sf9GzFb7a+hPvWPiueT0yQ1TA5xJPp8ePfVQaYroYAYaWr0klGHLHJFDllm1+Td59HH+3zNaslpanRW2pExtlEzuYVOkpSTvA5DcTzsot+GXHlSljsdHLdVtIwkDcFRrX5jk+xjpbeJeZjnXTSSdKJtVDIsRZGRCyUm1apWnx4+cIJZ+J7GchqRc8WXLv6Ubzf8RE0b23ez8Oj+hDRe3D9qsewqWcXZlTvjx2RDrwiCGzBrnewo0fcjD1++Fw18vlmJ0O+HgO64XQJi4LVBpViowZeWCwmp4JOpZl0YmyXp2PRokVwsHdKagXuX8wVFBqnu5tyHyGL+PnAypqH4EKPYqyJDqoZC6+vXtoWW0aH0SAm102ztYb5oHcbrlz1EI5/+zYs2vGaIKsA3NAKuLBNeD1V2BzaiRs+fBjnvXcvLl4xDw+tf04QVws0fx18mk/WaXOJmkwzAr9ajyn+MQ5hFQOO0qTfXZmeFbqkgl1H3sHT5RK0UM4Eq07ZQNdnyoF8Nt+kI10msvskzGPBg9WNgchXcsL3y6omyTJAMaLe/aoasb9/hCCsvh3lqIhQuHrrivEno0nra9XyXMtSHPX6Tfj1mj+iObILbnqtiySoEC+t+DihIC13FRRvFXqNXrpfwl01THwtILuBeT2qSGPHV43Cfv4Gh7CKhdUSUaYJ+UZaJCsqvtPXnVPJnW2MhoO0qcssaCJ48cUXDymy4uYb+m/R+YDjVJRDWK2Gzxf5REdW6RprWPlKK6gfs4v4SMoFX1Cqgkme4XLAuG/tLQpFC+DI2r4F9mXBjfiP5f8XnYKoXLXjBKnUZK0r5ZweKi54NT+8qifFcCbfXDeE8YEmuFyqQ1jFgvUPK2eH//zP/5QD1rnso6NinnUvq114dlbEqWDUwTEh/iw3CBdbvC0H2EiwEo7mAmq40tXh1KVZbeyxg53Bn9Uwth2OO+442dlLdX3gOq5CQD8xK7CYb7XyPse4BlNqRgvCilnlgxjua8QYd32fbz2w8W/oCe+EKiIYl5mly2ilk0Lhivisr4r1OJEmH+AeMeDnsAtDBPTO4tab9M4cP6dDJeUMdEZgp4+pAEV7NNRjPYSWMnZSBBKPlU2vFTijVqx3VjlAMqY5IT2leKEz8szXfcJu/tLIowhrZ/WTbQ9iOijDoFEh07dixKd8X6nwtxoIp+Qi//cy/voOCewvhVZ0ldqr+iRSwlrVh0CaCj4mCOiNjo/l/KE7Q6om3dZFmmc1/GzCLJkNc5/gSnY9PTij6XCHsEoJkgsLuOn2MIyw2PWz6vxlAldlFbuefKDBAjLJOln7YaTEzcacpcy2WScVVOpTBpAaZTGtuvbaa3Ov74jUmt7u6a6u3OCTL6i/K4VSns0Vq7GkfIv4e0WSVSI9VaoRU3RoprYX5XA+MGRE+9CcT/VI2jHkZkBr6PxBI4ZaV1+H2rChy603pY6z4n+yE6OqJ+Ok4TMG/HxWMcTAWT1qoIoFa1Lcb2eHUtRu+gOMOq0K1Va+7NnAsRwuDOHEAOtGjE7zIQ1KUNKFvkkSHSiwjmXVHClmoPvwhgmYRiGonLtLIRDVheZoNzpje9e3qGA/Z+QnpZto1AhZR6LiazFaw7gCOGN430hnq/hbLdFgXGVfQhi0agi244xhh8HtUh3CKgeYBlKkmEnoaQda3dCVId1eJgmmD7xg2Z3k42daIFoJYGfOasUWNyEXWvdhF5Zuofle1HSFtVprlm9KWGpwCUhqlMVUMX25R75X1Rc5DtPdBiO1A6q50BvpwNpQX4L+zn6n4LhR4jkEmxEKtyMqEkqWsvgRMWMI94qIr6cF39j/8zivqa8ecGnXerSHWqBopT2WMRKu4sLZI46oiPO5YlfVlwqMJLjEgIsXqKi2Ai+8M888U1qsZHIA5T5Eq3XsdHwggVUqaBVNy+hkJHPppZfK/Y/9PRvJHYSMaLgyPhWcOOAxzDb6ZAdKGqid4yLcYsCbD48JGyjFojnUjWmvXoNWrR1erS6R7pnSkeHcMSfgzzP63hDD4id+/NETmL/l7+ii40MyddR8GB0YjW+MPh63Tz6/T9IXFuT26SU/w5LWd+HxNZQsKeTjhGLtaFJGYeNn7offNeCztF1DnrBSLxa241moZXeL2h9GHkxTcrHq5e9YRSpEshtZyaCym1ERyYHbsAcKrKcxbU8FiYqpayG2L0888QSuvvpqScbcbVkKj/xS4caVT+MXq++Fp+lAKInmRFgPgdX4hUfciFPrZ1r+3pLgevxvy0psjbRJGcJE3wicPHwmpnhHWv78fVsW4bvv/RqKv1pKGEoFU1wjkZYP8cMp1+D2g8+vhEO67xBWsWBkZbdxmksqPvvZzzoHKQeccMIJ0tInFbSr4UiVnbDUDhyFSrftIRmTtCoBLb1BjH/5cgTdnfC5GmUXj7QV7W3FwbUH4tWjfooGxV/U33i9+2N8/q3b0Wl0wuOuLmF0pSIUbUGVXoONx83HMG9F3AS6VOcSyg7u/bMjK+qCHLLKHVa1M84Hsi6WL5jmp4NkaGcD3d8Y5g/g1gO+Li6zdugJg3cW2F2+eqzs/ABfXnYvdkW7Cn78jdFWXLD8AXSGd4hUtrqkqWBMFWFgZzNum3xBpZCVhENYWcACvN2gMO/upbo4Kt2ahqACnOJPErTVFuecLuJh1uZvSgGumnbmjekp50Di2smn4JDhxyDavUG8Ri2+akvVoPrr8Y8d/8Yxb92MxV1r8n7cx3e+hqPe+DHWdK+Fu6opL68se5qKP4ahuhBrX48TRp4un38lweVQUmZkUrmzoJ/LeqtsGAzWNPPnz9+rc8bIcsWKFSVzDW1ubs77d+yU8+kp50Dj7gNm4+R/v4aQPwifUgXTNOARl15UEM0akdKd+s4duHTsSfjGmM9gZtW4jI/1hiCo+ZtexCNbRNpr9EofKw1qCUSjZoK26NXVjGrXWPy/Q79TcdejE2HlEPlYgZ22QqUB6bCypuH4SbHgvB+bATQqzLaZORvmzZu31+cUpBayiNTOjrmQlJDyEquIjeNVXDQx8Igf88+NmI4bpl4JtKxDWInI+hAJhi4MHn8jumKdmLvmTzjp7dvwHysewINbX8QLbcvwevcavBVchwVt7+LeTQsxe8U8nPLO7Xhkw/NSQu/1NcrIqhQK9yRd8fmhbTMemPEdjK6qrbjr0YmwsoD77KjpSrUcoVYrnxm6bLCzpinGs4qyBS6/SIJun9QbUW1eCNhlzeVrhYKq+byTGJFGkgBJzFZkzZvKwGJPmnbn9C9hV6QFD298DNHGiXCbcRcG6jLpnqC7q8T3m/H45r/i8e3/ht/lg1d1y4ii14iiN9Yj7hJBiPwP7sAwqKaaQjTFkxW7kRElCrN1PS6efCm+Me7oirwenQgrC5ID0aeeeqr0f+dYCy+GQi4wO5TamobyjVSySkYdlF8UCkoHUkG9UvoGnVzAQXWO56SjkPEcwm7bTyFK/nLjocO+jW+P/wb0jo2IqUZ8NjABRko+d42IuJrEJyp69V60R9vRKj7i1jBuWasiuammvZVxYbSqSrIyWtaL53cxHjq0ciU6ToSVA2jeV84LgKlVag2rWGsaO+PAQp0aCHqxc76OkRrHaziDV8iqeereqLtKn9VL988vlrDYFIjFYjlvpO4vzD/0W1gV3Ip/7XoBZtPBcBtaQuwQpx+SGG1g+iuUIFmFlTDMtg349oSLxPO7pKKvRYewKgBJaxoObfNipuq+GNh18OgmUQw4lmNnyZIraIxotS6tULEnfekp6OXYTzoBMtLMNLkwUPjrrJtw7lsa/rLrb9BrhsHnaYJpxPo/YVVdCIk0FO1bcdHEiyuerJyUsIKQtKYplqzYJLCq6RCsvQ00KBK18m/nWAz1WPmC0R7FqFagsr8S4XVrWHDMTXhw5o9RHatGqHsdDE3dK0Usb1SlSF1YqH01amI1mH/Yz/HwYZcNiuvEIawhBm4NsrrwJ06cmNN253KDta9UZ9YkGCEpBW44/tKXvmT59TfeeKOi36vLJp2Mtz91F6a6piLa/CFCejstS8tGW7LyJR4/FGtDrHkdTm04Ee8d/St8e+LgsfJ2CGuIYfHixZZfH8j5wXSMGdN3kQE3DBU6/ExNmBUqQ9qQGVMbRmHF8b/GTydfjfpoPcJtaxAygtL8r3TSdRMxLm6NdSDSuhq1sVrcMe1aLDz2ZoyvaRxU57dDWEMMdt02u4t6IMDNz8OHD9/9ObVUd955Z8GPx0J++kwh0d7eXvLnToErnSVKCfYFbp7xFaw69j5cud8F8EU8iHVvQ7hrE8J6l0jfCiAvEa1GBVGF9Q6EOzdD79yC4RiBH0y8FKs//QB+cNA5g/L8doafhxiYbqUb4rFTRvsVq1QsV9BmmWp31oxoscwUsxiQTJi+cryGkhG7kZ1cwedGzVwqWNuymjcsFHRXpaiX3VZaEnEKolTi4VRs727Dax2rsKB5OZ5tXoLm4DoRWpginxbM5qkS//ZAUzyytxjXUMX7i4YZjS+/iPZKD3bAh3FVE3HKsENw5rBP4HPDD0P1AHuPFQnHrWEogWu3KMFIBy8qq+UauYLdNlq3JGf3SFrvvPNOycZySgXKQUgoSeJm86EU3lYEySl9dRw7m9xvaGc7VAq09XTjH7vexauda/F+eDM2du3EpmibSBtb2OaLO/xJH2MDHrUBB/iGY1ygCVO8o3Bqw3RBUofC53UPlVO8y5E1DCHY6a+K7Q5ShJo6aEzDPC40vffeeyvq9XP+8uyzz5ZNh9NPPx0NDaXboWdVGwwGg1KPdvPNN5ftNTVUVeNL44/FlxBvmMTCOjZEWrEmtA0uRZMdPxoDchnIJN9IHMCdiO6he447hDWEwBTLCryIiwG9qvqkLdu3V+QxKFYWYodx46yHkll7+973vmfpVV+WC9arYbJ3OCbXDN8nz3Gn6N6PSG7vsdNJFQNGPVb1Gq71oriyGFgtpD3ttNP2qfeOq8WsQDnGPffc45zc/QXWsEwHZcfSpUvNkSNHJgfAzMsvv7ykjy+iq92Pnfpx7rnnluTxL7vsMvl4fr/fvO6660r2vLdu3So/BgNmz55teYzHjh3rnOD9g06HsPoJdXV1fU70Rx55pGSPf9ttt1leTHPnzi3Z3xCpYUnJhcRHAiw1CZYLGzZssDzG/HjllVeck9whrKGBJ554wvIkv+iii0r2Nw4//HDLv7F8+fKKPCZWBHvLLbeU7PE3btxozps3z3zwwQflv0uFCy64wPI4f/rTn3ZOdIewhgZmzpxpeZLfeuutJXn8FStWWD7+fvvtV5HHo6enx6ypqenzfAOBgKnretGPT5JOfXz+e9WqVSUjQrsoa/Hixc7JXmbCcoruZQbb4dQxWYHDzqVA+p6/JCZPnlyRx4TGf1baJcoEaLtcLCjwTLXS4b/t5g3zBQ0QZ8+ebfk9dgsdOF3CQY0bbrjB8us86TlSUgoYiZ136Sh2sWi5QAnAQQcdZPm9Usgl1q1b1+drvGlYyTMKAU0crUBbHwpqHTiENSixbNkyudo+HVxccffdd5fs79D8L91Pip+X6o5PucScOXMwd+5cW3LMF3bRXylIxWq4Ovl+lAIcS7JT0N91113Oie8Q1uAEV4RZgTNuVsO6hYKiRhIj59uIGTNmyM8LcQRNB0dSTjrpJCmQpCXyrFmzCvKtSoeVJxbBDdDFwm7Qu1AbZitcf/31ll9//fXXnRPfIazBiSSBpMNKiFks6DfP+s8HH3wg0x9+XixITOmCSRrt3X///UU/dqpbQyo4D1ksvvCFL1h+3SraLRScKxw7dqxl9OXAIaxBCRrmXXHFFXt9jZtcSlUAtkIp61b0XbfajFOKwjj9r6xQipSTi0Oo8LeKeGnRXCrQ5z+VePnvUm5TcmABR9ZQfrz88svm73//+0HX9o7FYqZIB/u07xctWlSSx7d6bB6rUuDCCy+0lB48//zzJT1GbW1t5tNPPy0/WltbnZPd0WE5GEh0d3ebp512mrzYRQRh/uEPfyjZYweDwd2PLSKikj72ww8/bElY11xzjfOmDmLCcvywHOSEtWvXypSnUBvjTFi9ejVGjx5d0sdes2aNpV8XF68uWbLEeUMHJxwDPwdDF1xlT6dUK4KsNPNBB7kRllN0dzBkcc451r7lTz31lHNwBikcwnIwZGE3ScAIy4FDWA4cVBSmTZtm+fVKW1/vwCEsBw6kHit9cYTH45HLKhwMTjhFdwdDHj//+c/xxBNPyE4k7YytNgs5GBRwuoQOHDgYPITlpIQOHDgYNHAIy4EDBw5hOXDgwIFDWA4cOHAIy4EDBw4cwnLgwIEDh7AcOHCwr4E6LNM5DA4cOBgshLUFjnDUgQMHlY+u/y/AAICj+JZ6c7gLAAAAAElFTkSuQmCC",_="data:image/png;base64,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",de="data:image/png;base64,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",u="data:image/png;base64,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",U="data:image/png;base64,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",Lt="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAALoAAABSCAYAAADjGc4eAAASm0lEQVR4Xu2dd5QUVRbGfz3kJDkKCJJBAVFWRUUkGFBQEFRWFhUWmBlAoqCoMGKAVcC8CLKLBEEkKCZMgKjkqIIIKCKiMCAsUfLUntuvi+7pqeqq7q7pcbrrncMfTL10v/f1q/vuu/eWR0vmBaA/bnERiGMEPFoaSaTzLhrt4lhOV7QER8Aj8mtDKMJxlqJxeYLj4Yofpwh4ie4l+wAqcopVaFSJU1ldsRIYgfNE95K9L5dyjq/RuCCBMXFFj0MEMhHdS/ZUbkTjQzTyxqG8rkgJikAWonvJnkIvNCYmKCau2HGIgCHRfWQfg8awOJTZFSkBETAnuoaHFN4GOiUgLq7IcYaAKdG9u3oaBUlnCRpXxZncrjgJhkBIonvJ3o+ynGUlGhcnGDauuHGEgCXRfWbHupxjORol40h2V5QEQsAW0X1kb8FZPgHyJxA+rqhxgoBtovts7N3IYGqcyO6KkUAIhEV0H9nTyGBkAmHkihoHCIRNdJ+NfToaXeNAfleEBEEgMqKnkZ+9fAY0TxCcXDFzOQIREd27qw+kFCdZgUbtXI6BO/0EQCBiovts7DU4w0qgTAJg5YqYixGIiui+w2kzMlgEFMzFODg/9dLVISkPHN0PJw+b91+gGGSchTMnnJ9DcI9FSsNFTeHgL5C+DbRzmWt48mT9m5OzkvFLXAgHdsLJI072bNlX1ET3kf1uMpgFONKf5axzQ4Uxe6B4BXi7Pyx5yXzGveZBo9th21J4sVX0kpW6CA79DhlnsvZ1xT3QYxZoGgwsDqeO+utUuhRSFsCcgfDtgujnYdRDp/HQaqCa3/Cq2fujChrfMWJqyTwMjM4ehCx6HbgESla1P/TLN8P+7ap+gaLw6Df22r4zFDbMs1fXDtGrXw1Dl6v+5g2Bz8fZ69usVlI+GPsH5C8Mb3SDtbL3BJQOz8KND8HerfBE3czP+nwIl7RVP4J3H4FP/xXdXIJb5ysEo3+DIiXh49GwYLiz/Vv05hjRvTt7CpPR6BFTCWSwUT9B2TBccUZdAns2q2kWvACeD6FaBAoz9QFY+YY98ayIXrgUPLwaytZQ/f260Vp9WfwirJttPn6t62HQF+r5o9Xh4M7MdfsvgrotYfVMmHJv5mf5CkP3N6HxHervy6fAjH+ClmFPXqtaV90P901RtUbU9m80Vu0ceu4s0dPISzoL0Wjt0PzsdaMT/dNnYcN84zYeDwxdoZ6ZEX3BY/D7pqztH5gBBYuCEdFLVgHRbYNJFYroeQtCv4VQu4U9+fRaolYsluwkJuWOMXDTMNizBUbVz1pp7EG1o84dDIvGZ33uSQJRL1r6sp+smArTuztD9mGroNrfYPtXMD72VmlHiS7IacMozhGWodEgvFWMorZO9Jkp8NVrJkRPgn/7Dl9mRB/fArYvNSDIAShSKivRWw+BDv+CrYvhpTaZ25kR/YIKkPwuVL9S1V/4NOz+1lx4qdd6kHo+/gbY7tuxjVo8uhEqN4LPxsH8IZlryOH4qR2+fkzk1FvcOhJuS1P/+3oyvNlLVtZ4jqI21rjWevHy+CIzRTXKCDoEW7f21xhWEY7/EU4Lb13Hie4lex8uIsPr2lsh7BlF0iCniC67+Yjv1W7/SlvYvNA/eyOiN7gF7p0EJStDRgbMTIZlr5tLfEFFeGQtlKgEa96C/3Yxr1u8Eoz5TT1/oZX68QWWy+6EXnOVDj6ohLXVo/OL0PJB9XZ4rhmcOGQ89qAvodZ1kaxaZG2GlP3rEN1L9r5cwVlkeywcmURhtMopossUWw2CTuPg983wVCO/JSGQ6GtnQ9fJ0PA2JdSp4zC9B2z7Apo9oHbgYCtJ3gIgu+XFV8PJozCyDhzZYw5Ks+7wj/+ouoNLZ+2v/dNwy3BlVkyrYwNcD7R/Epa8DEfTzetXuQwKlTB/ftV9cPV96vmMXrD/Rxtjh6jy49fGFiWLXrNlR9fH1PpwOxnMRyMpOuksWutEF/1PP2QGNxEd/bre6q9OqS7Sl+jnw9dD5YZqIfUdOpDoSyfAgM+hVnPYtBBmpSj7+uPfqUO0EH5SJzh+QM2vfF11MKzaRL3mp3WHVdNCg9BzDjTpBAd/hdVvZq0rh8wKdWH/T7BuTmTL8et6WB9G28qN1bkoX0H48jUldw6VbCW6yKSlMACN57NVPqesLuHq6LpQjTpA8nw4vBdG1oJTxyBYdSlaFmrfAOslDNdXqjRR+nqpKrB/B0xoD2I5uXMs5C8EJ4/Bf+6BTR+Ghi8pLzy3HwqH2FmdWICV02Cqb3e26k+sWaJ2laulZHuqIZw+7m8lF2W9fabaN+4L/bayGsvG82wnuo/sr6DRx8Z8IquiE/3b92HnauM+ZEdvN8r5Hd3bo0ftzpUawIej4IORWYluJlmxctBzrtJzZfeW21Qp/9sNr94Gv9mw8ctBU9QnsyLPqzRW+vk370aGsbSSN0+oy6/Anv85Gy6/S51Fnm8BP36VeVwxr47zvcEerwF/+A7Kkc8uZMvYEP1t8rCEBWjcmi1y5KSOrgvU9O9K3fh5FTx3DYzebX0zWqE+NO2i/un29DOn4OtJyhoTSjcOB0iddDtWqINldpfmqdDlVTWKkQVI/h6PRPfu6qkUReNLNC5zHOe/AtFFVxdT4A7fTaeR1aVIGWU7r3MD1GmpdGa9CMGXTVa3hod91hMngCpcUr1d8hWAOYNgcfZqkV5fmsFfqfHEYvNMEzh7Mqsk8Up0L9n7UomzrAIqO7GG5/v4KxA9WCAjot/9MrTom7nmrvUgKpeQ/NBu/zOx5jRPgd0b4fXOkcMlfXT5t1JbxL8kcIzIezVuKT/e3u9AIV/qziPpcHSfcV05V1Ssp56JJejsqdCzmXA7HPg54hnHRHUJnJ3Wj0acQRS2YhHPOrihTvR3HoaVJiGtcuun25mdtLqYCWG4o5dWurxO7u8+MN+9dXOgqELPRpFWR7+RPH0CNn0UHuTiYSg3o3aKqG7dpkDe/OpHJWciJ8sT9WHvloh7dHg29uahpdKODN6zV9tGrZy2uhhN0exmVH5wdvxHnCB6xQYwwsClwQak3irH/oCHylrXbjMUOoxR5D5xGOYOUjZ9KVPvhxMGLrkFi8H9vk1pVqqyWAUXsTzJuUdKWj1I/8F6LiY1coboyYijxcCIZ222o9vtMLt3dCHzs+lQtIzfTff6vnBRGN9ZENOj2OaFbLLz60V2eDM3h2D5u89UB129rJ8LPy2zRkns8TWuUW+e0SHmLHLe9aJfHRNLkdwQy6XV0z41w+wm046OLp6lL/hciXMb0bUUuqIx3RrtMGroO/rbA2C5bycJ1fz0n/5dNdB7MVI7euBYYh8Wgum3oLo/eu/50LhDGEKZVJVbVrGtW5ULG4L4vsguK/7f4kYgRHzyUvPrfOmz+IWQ9oNya5jUGTbMNR9J9y+XGr99p0guZ4BS1RKb6FoKl6PxtePRSHYOo2bL5STRZYFT34cLL/GPphP9mp7Klm23VLtSvQGO7MtMtl3rYPl/rXtJeQ8atoPDe+CZy5Xfe+lqxi66gb31eAuuuFu5NMiPwsyZS9qIeVRcjeUtM7GjP5IqkYmuJVMOD2uz5dMxVkQXX4zrU+GTMVn1Y6eILh58smsXKwt/HgLxVREd0yzCyCpsLRodPTCgQwIwVk2Huq2hvyRuQLkUrPD5hgeS/NLb1A9VyuR7Qvu+6+1kLPnxnTvt7ylRia5NJB8bWYRG9ri5hSK66JEjNiubtRx6vpyQeTeMluhCWHGWajsCxBX1wC/wyi0wYLHxhVH+IuqGtt6NMO46czUiUqKL2e6hZcr3+6flMFZcaH0utve+DtdKMIWmfNIDbeoN2qorefFL2fwxvHqrvUOz0bslYYmewgQ0kq3ftxHWsNrRW/SDu19SO6147gXadqMhetmacP90uNhn/pPDmxDkyF5zFwAh+tCVSr3ZugReusnYGy9Sord7Eto+pq7exzQFccTSi4TadZ+hrualLHoB5g2Ghu1Bbk/FNLhjpXLzPfNnhItBYuroWio9yWBS5KjZaGlFdNl1H14DVS+DYMckK6JLiNm4g+qmT5yPAr0Iu0yA5r7fr4SnSYCC7rgUKsKoTA01H4n2kZA1I1t1JESveR0M/AKSkuCricrfPbjIG+7vE9XOLkU8PsUVWN5GopePaw5/HrQBeogqibaja6lIKowl2Z6B14rosiZNOkNPn+egLKbuZGREdLlN1O3d9W+GRu3VqqbVhfSt/hUuWwuGr4M5Yu0JOiBaxYzWvwn6fKRIKbbm4IuucIku55DHvoFSVeH4/5QXpe72a8TJwB+pPJc2cvh0wv3AKaIHBpP8Vc2L3uv+c6yLSZSRGdELFlc+2ld2Ve6v+m2dV3e9Ri2/EdEf/AzqBYW9eq0QAdYUnTzifWh0zW1FdGnfcSy0GawCMcQnZN82PyXDIbocfMXKUv9GpX9P6QprZhpvuXnyw/V9oO3j6o0SWHaugfdHwPcf58yOLq7Mkvfl7Gl1kJd5SmCKXEI9VC7zgTfMGWbLhZHWjwKc4Uvgb2HOJ7LqT+6AMtVBYkY3zlc6Z6M7lKVBVA697PkeRK8WXfSVW2HzR8ZEl2idayVO0hcN9N37IPbrUBE+wTO3Q3Qh6CPr4OAumPZAZm9Fu0QX4kpuGN1u/1Y/WPqKMY6NO6oY13I11XPxdxdLVKVLlEnx/EawTBE+OBzP7upEuqOL6jVYaBNUJEh72v12Rzeslz1ET0ZsV9HNzK5YNZurFA+ySGIzLlZeqQN6kZvFNbOUbr5rLeivbO+t3xUgV9F6uguzCyO7cwmsZ4foUt/sjdDxOWgzRNmozXxdxMIi6ph+ESX5WIS4gUXyqUjiInEmk4glvcgPVywvuqoidnvxaZcbUb3s2qAipuT8ESrbWDA+kRJdDstP71R5aaRIRjGJhhJT6OHfI1mF820cJ7qWzIPAi1HNKpzGElcZnDbi2AHY8qnahcWRKTAes0RlGPWjOnDJRYocHnOS6CKrvLJFffGmpdOU1eLBT6B8bZW+Y9KdxoiISbPdE+qZ+K+/95i/XpmLlfejvJ0kg4Fe5K02u5/5bi1B1Lc/o8bWiziESQideFgGB1AYzUwIq/vX79tunJHLjgtAODywqOso0bW+tOAcn8X0q9PNeqjI+l/WKPuv6JcSZRTKcUoCduUHcGy/seriBMB2d3QZS4I0RDcV/frMSaWf6iXUNXz5OvD4Jlj6qjoQ60VUoqd+huIV/X+ToOLPx6t0c5ZOZR5ocLPSkSVzgf6GFBVLgrSN/MvDxSy3Et2b4uIca2OeWVdezfKqC2VhCLUIVubFcBdQrx8O0SWUrknQrr3vRxX29t7joYklFz3eNBtBeVfE5UD80MWRS5IVyUYQSQl8M8gt7+oZkfSStU1uJLqWRmHSvUmLwnDmcAav6Hvx+Hc+0ecDr7Kj6bxcbRAdWi6PrOzS8mMTTz29SOxotGF0Yh4V85xTgRayocjbJpTvSzh4yd2G7vsj2dGsAi/C6dugriOqi5bCLDRsuNRFOVu3uYtAhAhETXQtlaFk4HDq1QilcZu5CJggEBXRtWRuwsNH2Z6gyF0+F4EoEYiY6FoqNdFY7X5NOsoVcJvHBIGIiO5LXSFJRGOXMTcmcLiDxCsCYRNd0/CQ6s2n6MsYH6/QuHLFEwLhEz3Z+9VoX/LseILClSWeEQiL6N7suOd4J7vyqscz0K5sOYuAbaJrqdQjw5tly7nEQzkruzt6AiFgi+jaAEpwEklTWyuBsHFFjSMELImupZFEOh+gcUscye2KkmAIWBM9ldFkeL8h6hYXgVyLQEiia324i3OE+LBlrpXbnXiCIWBKdF/WW0n2nf0f20ow0F1xY4+AIdG1PpT2+ZZXi/2U3BFdBJxHIAvRNfX150/QaOn8cG6PLgI5g0BWoicj3+D2fSM7Zybljuoi4DQCmYiupdKNDEw+GeH00G5/LgKxQ+A80bVUmpLhzcVSMHbDuyO5CMQGAS/Rtf6U55Q3sNnZj2jFRgZ3FBcBSwQ83pTOG7z5EQMy11i2cyu4COQqBDxaMq8BvXPVrN3JugiEiYClC0CY/bnVXQRii0DHWkEJbYKG95ABnmSX6LFdFnc0pxEISXTPWTxaN+Ztn+US3Wng3f5ii4A50U/hydOZeT94P8rkEj22y+KO5jQCRkT3eI6T5GnPHH/ea5foTgPv9hdbBLIS/RD58t7C7C0rAyfiEj22y+KO5jQCmYm+j3yeG5m97ZvgYVyiOw28219sEfATfTd5klozZ2vAR6b8U3GJHttlcUdzGgFF9J8gbyvmb/nFrHuX6E4D7/YXWwTurLWJQnnbMGPLnlADu0SP7bK4ozmNQLe6pZn2wwGrbv8PSygpSs9Cw9cAAAAASUVORK5CYII=",Zt="data:image/png;base64,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",We="data:image/jpeg;base64,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",H="data:image/png;base64,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",Vt="data:image/png;base64,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HfCqOaXuYsA466aPR6XnAZQ8qHKB4fWJP4kNV7SrV3ymqwNVAFiTUe85HzLedaKNxfd/h4FvuPdoA9Hvj7ftmhMAkFbZyaxaQH1a3XwurL9tp4kN7fsUQz5fTnxbGH8GFt7DcwpecTuMFmlIaZ+bjOgvF2u7d/gnIWZR+Q1KPowcIIaAhQSarqmH/xE0TpQbb92M9uT7kdz+/HqfDB0EcF/ZRi1ggYFER/cYcMtMOO3jzlmVjXKDrkt5uv9are9ZLJ8L6UcJ+HplVotygVRlYLFwM4GWf2njl/ymq1fqrSgM3J1Sfz5Rnd15ulp/tiGtPV6h0aIwaCDxUPc/F8sfOQdqTKnbrvjMf9fOK7ZLCyv8Jom1s9qvsHANttQw4dhY++6BW+sKFlNJr7E9K6wOZEoT0YU3ogvXm5OSMK5KQ347v7oggZbr3j/+PWwUnoj9jyHCk+OP7p3Kry+6nL33uvazqbD+6+W35RDmrtGOPW8Va7JcjzemtC+frTKWfgJyCQmxI/GZ7x+warfdUKy/rj47UZXdnlHZXHprJWBcFKZsGX1k16t2spI7oqbr3iOTkdzGyz7z8tK5s4eAN4UiHxx5dO94Ka2jLd2Gq95TI/e9tXoqbBytZLJzwAUGdY+273nc6Y294z3p1sRW2ZhSt02Gsg+eDxknyl07FYWRY8I+aZptYx27B0Bw/Bp3faHRcs13EsCWiWpjZ8DEU+Ecxe7IKjVl5GMy8zAJMQSIwbH27rL+7FH2jUzTNfUwgMMAkFiFlf5MrstviA4PU61HIuo1KQRCdkGeJCDJoCQkkkzyOFVF4mOxyv9u8x8opnU6UeBF0wAAAABJRU5ErkJggg==",Ut="data:image/png;base64,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",Ke="data:image/png;base64,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",le="data:image/png;base64,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",se="data:image/png;base64,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",F="data:image/png;base64,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",Ie="data:image/png;base64,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mt=(0,zt.oH)(W||yt.treeData,P.expandedKeys||yt.expandedKeys,Te);P.flattenNodes=mt}if(te.selectable&&(ee("selectedKeys")?P.selectedKeys=(0,Et.BT)(te.selectedKeys,te):!Nt&&te.defaultSelectedKeys&&(P.selectedKeys=(0,Et.BT)(te.defaultSelectedKeys,te))),te.checkable){var X;if(ee("checkedKeys")?X=(0,Et.E6)(te.checkedKeys)||{}:!Nt&&te.defaultCheckedKeys?X=(0,Et.E6)(te.defaultCheckedKeys)||{}:W&&(X=(0,Et.E6)(te.checkedKeys)||{checkedKeys:yt.checkedKeys,halfCheckedKeys:yt.halfCheckedKeys}),X){var ce=X,Ne=ce.checkedKeys,ve=Ne===void 0?[]:Ne,je=ce.halfCheckedKeys,Pt=je===void 0?[]:je;if(!te.checkStrictly){var gt=(0,St.S)(ve,!0,it);ve=gt.checkedKeys,Pt=gt.halfCheckedKeys}P.checkedKeys=ve,P.halfCheckedKeys=Pt}}return ee("loadedKeys")&&(P.loadedKeys=te.loadedKeys),P}}]),ie}(He.Component);(0,u.Z)(Ke,"defaultProps",{prefixCls:"rc-tree",showLine:!1,showIcon:!0,selectable:!0,multiple:!1,checkable:!1,disabled:!1,checkStrictly:!1,draggable:!1,defaultExpandParent:!0,autoExpandParent:!1,defaultExpandAll:!1,defaultExpandedKeys:[],defaultCheckedKeys:[],defaultSelectedKeys:[],dropIndicatorRender:Zt,allowDrop:function(){return!0},expandAction:!1}),(0,u.Z)(Ke,"TreeNode",Ze.Z);var le=Ke,se=le},82661:function(wr,bn,l){"use strict";l.d(bn,{BT:function(){return He},E6:function(){return Zt},L0:function(){return u},OM:function(){return we},_5:function(){return de},r7:function(){return We},wA:function(){return B},yx:function(){return U}});var r=l(94480),D=l(76190),I=l(48736),R=l(59301),_=l(639),C=l(65065),Ge=l(34061),pt=null;function de(H,$){if(!H)return[];var vt=H.slice(),ft=vt.indexOf($);return ft>=0&&vt.splice(ft,1),vt}function u(H,$){var vt=(H||[]).slice();return vt.indexOf($)===-1&&vt.push($),vt}function 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Set,ot=u;ot>=0;ot-=1){var Lt=de.get(ot)||new Set;Lt.forEach(function(Zt){var We=Zt.parent,H=Zt.node;if(!(U(H)||!Zt.parent||He.has(Zt.parent.key))){if(U(Zt.parent.node)){He.add(We.key);return}var $=!0,vt=!1;(We.children||[]).filter(function(ft){return!U(ft.node)}).forEach(function(ft){var et=ft.key,Ze=B.has(et);$&&!Ze&&($=!1),!vt&&(Ze||z.has(et))&&(vt=!0)}),$&&B.add(We.key),vt&&z.add(We.key),He.add(We.key)}})}return{checkedKeys:Array.from(B),halfCheckedKeys:Array.from(I(z,B))}}function C(pt,de,u,U,B){for(var z=new Set(pt),re=new Set(de),we=0;we<=U;we+=1){var He=u.get(we)||new Set;He.forEach(function(We){var H=We.key,$=We.node,vt=We.children,ft=vt===void 0?[]:vt;!z.has(H)&&!re.has(H)&&!B($)&&ft.filter(function(et){return!B(et.node)}).forEach(function(et){z.delete(et.key)})})}re=new Set;for(var ot=new Set,Lt=U;Lt>=0;Lt-=1){var Zt=u.get(Lt)||new Set;Zt.forEach(function(We){var H=We.parent,$=We.node;if(!(B($)||!We.parent||ot.has(We.parent.key))){if(B(We.parent.node)){ot.add(H.key);return}var vt=!0,ft=!1;(H.children||[]).filter(function(et){return!B(et.node)}).forEach(function(et){var Ze=et.key,xe=z.has(Ze);vt&&!xe&&(vt=!1),!ft&&(xe||re.has(Ze))&&(ft=!0)}),vt||z.delete(H.key),ft&&re.add(H.key),ot.add(H.key)}})}return{checkedKeys:Array.from(z),halfCheckedKeys:Array.from(I(re,z))}}function Ge(pt,de,u,U){var B=[],z;U?z=U:z=R;var re=new Set(pt.filter(function(Lt){var Zt=!!(0,D.Z)(u,Lt);return Zt||B.push(Lt),Zt})),we=new Map,He=0;Object.keys(u).forEach(function(Lt){var Zt=u[Lt],We=Zt.level,H=we.get(We);H||(H=new Set,we.set(We,H)),H.add(Zt),He=Math.max(He,We)}),(0,r.ZP)(!B.length,"Tree missing follow keys: ".concat(B.slice(0,100).map(function(Lt){return"'".concat(Lt,"'")}).join(", ")));var ot;return de===!0?ot=_(re,we,He,z):ot=C(re,de.halfCheckedKeys,we,He,z),ot}},65065:function(wr,bn,l){"use strict";l.d(bn,{Z:function(){return r}});function r(D,I){return 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strict";wr.exports="data:image/png;base64,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"},13014:function(wr,bn,l){"use strict";wr.exports=l.p+"static/yunying_code.7d649890.jpg"},74265:function(wr){"use strict";wr.exports="data:image/png;base64,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"},9936:function(wr){"use strict";wr.exports="data:image/png;base64,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"},93314:function(wr){"use strict";wr.exports="data:image/png;base64,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"},58143:function(wr){"use strict";wr.exports="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAMgAAADUCAYAAADZTGx+AAAgAElEQVR4Xu2dC3BU13nHv7MrIQkQQoCEtAIEAmxig4GACxhogpM6NY7jOKZO4nimwcFot23SNNNO02napJN0JjN9TNMm5eG3x4+YSeI3ftUGjCDGQMBgG4wxb+0u4mEeQhJI2tP539WR7i77uPfuvXfvar8zs7Mr7bnn8Z3vt9/5zlMQB5aAQQmsW7fO397eHujp6Rkfi8XGExFeDX2vABHVSSlrhBDDiKhdSnlOCBGWUu4mol1lZWWv3nfffccNZueJaMITpeBCeEICjz/++LCOjo5GIpogpWwUQjT2vU/A/wCClNJvtbBCCCml3CaEeGzChAmPLF269LLVtNx6jgFxS9IeyOehhx6q7OnpmSilnEhE2gsA4L0PhjHZillRUUHl5WUUf6+giopyKi+Pv8rKyrSX3++nnp4e7XXpUgedP3+ezp37lE6ebKPe3l4tCyFEhIj+UwjxaHNz8+ls+ebrewYkX5J3IN9169YNv3DhwsRYLIbXJAWBDoZRmbKFYkPRhw4dqgEwdCgAwOfyPiDKyefzWS454Dh58iQdPPiJBk0fKN1E9KyU8gehUKjVcuIOPciAOCRYJ5J95JFHyq9cuaJZACHEJCklIOgHQUqZ0QIAACg/FB+//niPwxD/H3793QqwJkePHqW2tjaSUsKinCOibwWDwfVulcFIPgyIESm5FGfDhg0lBw8ehOM7qbe3dxIggCXAe58VgBOcts0AgP6XfwCACho2bBgNGTLEpZoYz6arq4vee2+PBooQosvv999y//33bzaegrMxGRBn5ZuQOpR77dq1dVB4BQCsQB8AgGB8JicY3RsAgNewYQO//EOHDnPdAtgttr1736cjR44g2VPl5eXXLF++HBYl74EBsbkJHnnkkZFQ/p6eHk3xdd2gpj6nuDxTlvAB8GufDAH+h+8Ga0A365133qHTp8/AkvwiGAx+3wt1ZUBMtsL69evLTpw4gZEfKH+THoC+z9WZkkQ3RwEQ7wLFf/2VY5yLE2yyKp6LfuHCBdq06W0A0j1kyJCG++6771S+C8mAJLUAukEPP/xw/ZUrVyb5/f4m+AAAgYia+iwCJsTSDuUMOMJD+7tB8e5Q3A/A9xzSS2DHjh0UiUQxWvY3zc3N/5VvWRUlIE888cSI9vZ2TfH7+v8AAD5A1m6QEKLPEcbIT/yl/AG8e9ERzreSmck/Go3S9u078MjOUCg018yzTsQdlIBgNOjw4cMTYAWSfv2VFcg4HBrvBsWdYLzHQYh3hWAJAAkHZyQQi8Xo1Vdfw4RirLKysvree++94ExOxlIt2JZes2bNmL5hUK37owehb6lE2r6M6gYpRxjKz90gYwpjNhac766uy9TRcYk6O7u09+7uborFpDYBWVVVRaNHj06YgNyyZSudPXsWP0S3BIPBN8zmaWd8zwICZzgSiUzs7e3VlL8PANUNwt+VRkaDBrpAcR8Af7s5IWZnY3k1LcxldHZ2UkdHh/bCZywxUf8DJNkGLhobJ9DUqVM1H+2DDz6kQ4cO4ZEfhUKhf81nvT0DyNq1a2+MxWJfIaIFRDSNiAKZJsVKS0v7h0KVBdDPChfzaJDdCnX5MixAJ3V2dmiK39UVB0DBgG5RuqB8tsrKSs1a4F11UzFq1draSqdPx5di4f9z5syhixcvaJOHRPRgKBS63+76mEkv74A8+OCDs7u7u39JRDfpC64mxdTSiEQIKtgZNtPKWeJeuXKlX/HjVgDW4FIfFJ39CwzTJQPFhuKPGDFCe1efhw8frv0v248VZtFbWlq02XRYkGuvvYY+/HAfulhvBIPBW2ysqumk8grImjVrvheLxf6DiEpgEcaPH081NWMIgmVn2HRbpn0AAMS7O3ErgPdLl+ATxLtFaoVtugQwQakUX1kCtJH6nA0AIzVBN2zTpk20f/9+gi7ATxFC7A8Gg58x8rxTcfIGyOrVq38gpQQcNG7cOLrhhhk8R2CxlaFMeuUf8AXiXaJsAMAnS7YA+r9LSkoslsz8Y6+++qpacoKHw6FQCBuy8hbyAsgDDzywuLe3dwPWHV133XU0eTIGojikkwD2Vaj+frIVwP/xfaaAYet0FgBdIPxieyXA4X/yySeVBTkfDAZH5rNsrgMCx3vNmjXvSSlnTJzYSDNmzMhn/T2RN37hVd9fdYGUD4D/w0IYAUD1+fUwAIBCm7zcunUr7dmjOek9oVAor/S6DsiaNWtui8ViL6HRliz5fME1nhWiAIDq7ytfYGA49BLBR8gU8Auv+vypukKDbREjRrZefPFF+CAyGAxa36FlpbGSnnEdkFWrVj1ARCumTZtGU6dOsaEK+U8Cw5z6ro8aDlXWAMOkmQL6+AoA/UiQsgQYsCimgB+Mhx9+uDgBWb169T4p5bTPfe6PtSHAQggAAL/8A5Nh8dEf9Tf6zZkChi4zWQAMZXNIlMDq1auLE5BVq1ZhM/KIW2/9U3JzdCSTAmKIMXkYVO8DGAEAs/T6OQC9H4DvOJiTAABBCIVCrvdy9CV1PfNVq1Zp6w5uv/3L5iSWQ+z4eiCsAxr41U+cGe7S9kWnCxjnzwQArAMHeyXAgNgMCIY6sXRBr/jKB4B1yAQAlkPoAUh2hAEAr+C1F4BsqTEgNgCC0aFjx47RsWPHNTjSBSg3+vnpukAAwI7Z4GyNzt8blwADkiMgODZm7969mu+AAEcYy6bVKFDyaBADYFw5vRCTAckBkMOHD9P773+gtWNtbS199rOfpQkTJrAV8IJm21QGBsQiIJhE+sMfdmnNcP3119PChQsZDJuU0kvJMCAWAMFI1IYNG7W1RwsWLKCZM2d6qU25LDZKgAGxAMiePXu14yrHjh1Ld955p43NwUl5TQIMiElA1GZ+vC9btkxzyDkMXgkwICYBuXjxIm3cuImtx+BlIqFmDIhJQM6cOUNbt/5e8zvgf3AY3BJgQEwCgnsl3n13Ozvng5uL/toxICYBiUZP0vbt22nRokU0ffr0IlGT4q0mA8KAFK/2G6g5A8KAGFCT4o3CgDAgxav9BmrOgDAgBtSkeKMwIAxI8Wq/gZozIAyIATUp3igMCANSvNpvoOYMCANiQE2KNwoDwoAUr/YbqDkDwoAYUJPijcKAMCDFq/0Gas6AMCAG1KR4ozAgDEjxar+BmjMgDIgBNSneKAwIA1K82m+g5gwIA2JATYo3CgPCgBSv9huoOQPCgBhQk+KNwoAwIMWr/QZqzoAwIAbUpHijMCAMSPFqv4GaMyAMiAE1Kd4oDAgDUrzab6DmDAgDYkBNijcKA8KAFK/2G6g5A8KAGFCT4o3CgDAgxav9BmrOgDAgBtTEu1FwrXZ3d7f2unLlivaO/6nbhHMtOQPCgOSqQ44/j8uKlPInw4Br8NKF6upqqqmpyal8DAgDkpMC2fUwFF0pv94a4DPuobcScC99U1OTdjW31cCAMCBWdcf0c+kAwP9hJZwIjY2NVFZWZjlpBoQBsaw8yQ+m8geUNYCFwPduBlgOWBBYEquBAWFATOmOVX/AVCY2RPb5fFRfX0/Dhg3LKTUGhAG5SoGc8Ady0tIMD8M6lJSUUGlpKQ0ZMqT/HaNYuVgOlSUDUqSA5MMfsAoJrAEgUAAABj0QVtM18hwDMkgB8Zo/kE0Z4S8oxU8GAHDkKzAgBQxIofgDSrlVV0j/669gyGUo1kl4GBCPA1Lo/oDeGtjhEzgJQ6q0GRCPAdLR0UHnz5/vnzl2an7AqqLl0x+wWuZcnmNAPATIxYsXKRqNuj5fkKxAgCCdQ5xPfyAXRbf6LAPiIUCOHDmiWQ43QiH6A27IJTkPBsRDgHzyySeW1x0lN2yq+YFC9wcYEBclsGrVKm3dw+0eAiQSiRC6WUYDIEg1IqS6R0bT4XjpJcAWxEOAYNVqa2srdXV19bcY+wP5xZcB8RAgShXgh2CiD36CV+cH8qu27uXOgHgQEPean3PKJgEGhAHJpiNF/T0DwoAUNQDZKs+AMCDZdKSov2dAGJCiBiBb5RkQBiSbjhT19wwIA1LUAGSrPAPCgGTTkaL+ngFhQIoagGyVZ0AYkGw6UlDfY/8MViHYtQKBAWFACgoAVVh13haW5ehf6hRGHBaHY3+wcDOXwIAwILnoj6PPqj336lxePQhGDqHDSudJkyblVEYGhAHJSYHseBj77pMtAf7OdDC10Xz56FGjkkqK58X9IBarUhCP4Rc/FQROnssLwcCCwJJYDWxB2IJY1Z2UzyVbA/1J7bZmZCCx4cOHUyAQMBAzfRQGhAExrUDKGqRylPN9Cgt2WcIxBxyjRo3K+fhRBoQBSQsIRoTS+QZGnGTT5Jl4AMO4ACH5lUt3KlX2DAgDchUEyjJYvbjGhJ5njKrfc68HARDYNc+RrawMSJEAAmVP1SVSd/plUxQnv9dbA3UIhQLCyXyNpM2ADDJAsk2gGVEKJ+KoY4hSdYvcsgZW6sWAFCAg+gk0vY/gBWugTmFJ5Rvw2bxWEI0/Y/2OLIt5FsI8iH6IVA+CHRNoFsUWb6y+S2sUBPpu0WA7mpQtiMcsCA6uVodX53vIFNYg2SdQUBSiNbDyo8CAeAiQc+fOUVtbm5V2zOkZdXtTcrdosFkDK0JiQDwEyOHDh7WRJieCmkBL1S2CpeCQWgIMiIcAsePwarcm0IoFKAbEQ4Cge4VuVraQbgIN1oGtQTbpmfueAfEQIFi+gQt02tvb+3fFubGcwpzKFFdsBsRDgCjVAyh4sTXIP4wMiAcByb9acAmUBBgQBoRpyCABBoQBYUAYkKslUAhLTVhz8y8BtiBsQfKvhR4uAQPCgHhYPZ0tGhaAYlj91KlT2vo3vDo6OrTVDGpFg9o0JoTYRkQHhRAfE9GOIUOGbFm+fHn2SSubqsCreW0SJCeTWQKAACsWDh06RGfOnNGG0y2GGBG9J4T4HRE9EwwGAY5jgQFxTLScMCSA24N37NhBuGrbiSCEaCGinwSDwTcdSd+JRDOlyU662xLPT37hcJi2b9/uGBgparXZ5/P9uLm5eYOdNWYLYqc0OS2t+7R161bNcmQKlZWVNGHCBKqpqaERI0YQ/sa5vmqpPzanXb58mS5evEgXLlzQtiMcP35c+ztTEEJsLCkp+cGKFSt22dEcDIgdUuQ0NAns27ePWlpaKN2pLA0NDRoUeFVXV1uS2qeffkrHjh3TXhkgvOzz+b7X3Ny81lImuocYkFwlWIDPY8ckfp3xwoiSesdqZfyajxkzxlSt8Gu/efNm+uijj1I+h2NI586dS6NHjzaVbrbIsFbwb7CfJ1UQQjwuhAg1Nzd3ZEsr3fcMiFXJFcBz6iTGZBiy7a3HyYhGIcHo1GuvvUZnz569SiITJ06kG2+80XYwkjMCKPB3jhw5kqpV3vf7/XetXLnygJUmY0CsSM2Dz2D+IBkEq6etwA9oamrKWkv4A88++6w2h6EP2CqwZMmSnK9AyFqApAiwJBs2bNCsYlKIEtGCUCiUkqBM+TAgZlshz/HVIdXJ3SM7D5owAgjyf+655wg+gT7A8txyyy1aVy0fAQ7966+/TqdPn07IXgixv6SkZOGKFSuuNnUZCsqA5KMVDeSp/AS9jwCldONY0mxdLJThpZdeumoId9q0abR48WLXjidNJ0aUDz7R/v37kyHZUlZW9sXly5d3GWgCLQoDYlRSDsXT39+h7yI5dYhEpmpgX31VVVVW/wO/0JgR14drrrmGbr75ZoekZC3Zt956iw4cSHQ9MAPf3Nz8Z0IIzMhnDQxIVhHZF0H5CcoqAAirfkIupVJ76zHvgBd8BrwbOaF97969tGXLloTsx48fT7feeqvndmLCCr/yyiva/Ik+CCG+HwwGf2FEhgyIESmZjAMTr/cR1Gc7/QSjRVIH0OlBABBWDqCDU75u3bqEI5Iw0XfHHXf0T/AZLZdb8eCzPf/889rCSBWEEJf8fv+M+++/P/X4sK5wDEgOLaXO6k2GwQ0/IbnY6tihZKtg5/56DOfq5xwA3ze+8Q0aNmxYDlJ0/tFLly7Rr3/96wSwhRDPB4PBr2bLnQHJJqG+7/XdIvU5H36C/pBqPQxOn8aIpR6/+x0W0A6E+fPn06xZswxKML/Rdu/eTe+8805CIfx+/x+tXLlye6aSMSBJ0lEHV+sdZgCRw/JsS5qh9xOUj2DUT7CUYZaH0Jc/evRofyw481//+tc953ekqwas/TPPPKPtPdF1tdYHg8HbGBADGoNxcwgvH90j/Pond42s+gkGqmo6CnyPp556KuFHYunSpdqaqkIKWL+1fv16fZExkjU50wQiWxAibVIp1VIJuxtf7yforYKdfoLdZUZ6WMaxc+fO/qQxGbhs2TInsnI8zd/85jfJk4g/DYVC/5wuYwaESBvTz7Y+yUzLqesLkq2C036CmTKaiYuuiX7GfN68eTR79mwzSXgm7q5du2jbNuzijQfMsAeDwc8wIBmayCog+rN69TDAOgyWgONYn3jiiYTq3HPPPXlbSpKrXLEUBd1FffD5fI3Nzc3HUqXNFoRI2+SDV6ag7vJItgpW5hNybWQ3n8cSdiwAVAHzHnfddZebRbA9r9/+9rcJ8yJ+v/87K1eufJgBySBqAAInHaNV6uBqPQxevvDSdg3SJYjdgXv27On/D5avz5kzx8ksHU8b/hT8Kl036xfBYPD7DIjjoh98Gbz88ssJSzW+9KUvub6M3W6pYrITk546QN4IBoO3MCB2S7oI0nv66acT5g4wcz5y5MiCrjnugsHMug6QT4LB4BQGpKCbNT+Ff+yxx6izs7M/829/+9tUXl6en8LYlGtXVxc9+uijekBOB4PBGgbEJgEXUzIPPPBAwuTpypUrC2b2PF07YVZ97dqB8xyEEFeCwWAZA1JMmm1TXRkQmwRpNBk+OM6opLwRj7tYLrcDA+KywHPMjp30HAVo5HEpZXk0Gv5mLEbffeGFF7Q1Crfz6e5GRJf3ODzM62ATnDlzZtzly50hIrFSSqmdRvbCCy9qOTIgDgrexqR5otBGYaqkotHopFis5ydE4h4pZYk+CwbEAYE7mCQvNbFRuKdOnQp0d3f/iCi2QkoqTZU0A2KjwF1Iihcr2iDkcDg8Rkr590TyL4moIlOSDIgNAnc5CV7ublHgUkpfJBL5KyL5MyllpZFkGBAjUvJWHN4wZaE9otHo9Fis50EpaZ6ZxxkQM9LyRlzecmuiHaSUQ8Lh8D8KIf8hnZ/BXSwTAi2QqHxog4GGiluN3nVSyrRbFLMlwxYkm4S8+f1gPPaHiOaFQqF3M0nc8I7CcDj8NSL5mJRyeC5NyIDkIr38PssHx6WQv5RSRCKRfyGSP8LnXJuIAclVgvl7frAcPVpSUiLnz5//y+nTp/+1ECLjfdQZFb6trW14d3f3k0TyK3Y1CwNilyTzk85gOLx6+vTr+y4IEi+UlpZ+q7a2tj2dNNMCgvVTkUjrK1LS5+1sCgbETmnmJ61Cvv6gvr6ebrxxbr/ghKCN9fUNtwohUt4ZkhIQLA8Jh8PPEskv290EDIjdEnU/vUK9QAcXAy1YMD/FBT/ipUAgcKcQoidZmlcBEp/8Cz8hpfymE6JnQJyQqvtp4uxi3E+I/d364NUr2IYPH0aLFi3STqxJFYQQT9fXB+5NvljnKkBaW1v/jUj+rVMiZ0Cckqz76RbKJZ44vmnx4kU0dOjQLEIS/97Q0PB3+kgJgLS2ti4SgjbBijglbgbEKcnmJ12vXwNdWVmpXUUNC5ItwHpISZ9raGhoUXH7AZFSVoTD4d1E8ppsCeXyPQOSi/S8+SzONX777bevug9QlXbSpEk0d+5c2+9Lx2F/O3bsSLjURy8hXA13ww0zTF4qKg4EAoFZQgjtKJd+QJzuWqmCMyDeVHI7SrVv3z5qaWlJe4VEQ0ODdmUCXtXV1ZayxCHauMYAr9bW1pRp4PDwGTOmU2Njo6U8iAa6WhogbW1tU3p6uvdLKf0WUzT8GANiWFQFGRG/6rjkMxwOZyw//AFYFpz1izvV0RWCr6BOwIdVwkAA/BwcOI07BgEF/s4URo8eTdOnT6eqKuv3tAshektKSqfV1tYe1AAJh8OrpIwF3WgRBsQNKec/DwCCZfKRSMSVwmAId9q0a7NeYW20MEL4VgcCgZCA7xGJhE9JKbN7MUZTzxCPAbFBiAWUBLpB8BOcAgVgXHvttVRTox15YFvATbj19YEaEQ6H75Qylng7o23ZXJ0QA+KgcD2aNEa6sCvRrmuw0X2qrw9QIFBPw4fntHY2o8SE8H1NtLa2/rJvq6wr4mVAXBGzpzJJXpqCa6MnT55M0WhUu5dFfy+kuo4O103AH8E5wIiP18iRVQSLgeun3QniVwBkK5Fc4E6GfOyPW3L2Qj6wGAcOHKCNGzdmLA4gaGpqokmTJpocknW6luL3IhxujUgp65zOSqXPFsQtSbubD0adcBkqLAJGnNTFqKm6Vcoa4CppLE3x6nUKQoioaG09gQkR186zZ0DcVVwncsO98QBA/8L8hJG75OfPn0+1tSlvGnCiqLmm2cWA5CrCQf487tJQICjLAKc7OcB3qKwcTrAKVVUjtbkN3Cjb0dHRHzV5qXkBiK6Lu1gF0EpuFRHKnAxDqok5ONAAAKNJAAJdJEz06e97P3jwE/rwww/7i47vliz5vOZsF0ro62Kxk14oDWZnOXFiorIIgAKf9b/2Ki+MJMVhiIMAKABDptt9r1zppjfffJO6u7v7iwwnHDv5CiuIrTzMW1gtZqm06BLpLQNgwDKO5IDh0zgI6CbFu0pGVsEmp7N37/sJCwiR7he+cHPavRiWKuXKQ+JXPFHoiqDdyQROMjYwKYugoIBTnRyw7ikOwQAQ2fdLZK8HLNPGjZsSJgWvv/56mjy5KfvDHoshhO9OXmrisUYxWhwMn2LkSHWT8I4hVgy3JoeKioo+fwFdJEAxgvA/J8L27YnLSgDdzTcvKbh7DfuXmkBIbi5WfPnl9drM6dKlt5qaFIpGT2qL37BtEqs1iylAXlB+vWU4e/ZsymXlUEjlK8Tfq1zr2qBMLS1bEppmzpw51NAQKLjm6l+siJK7udz9zTffokuXLmm/KmZGNIoFEDi2+sk2WAZ0m1JNuGEdkt55xmf3lmFcrfObN7doVk0F7PnAVtdCC1ctd0cF3Now9e677xKUfebMG7SNM0bDYAQEjnKqOYbkCTeMGGHkaMB5jvsOGG71SsCq3Z07/5BQHFj7UaOsbYzKb72SNkyhMG5tuT127Djt3r1b2355003Gl4DhbNht294lzMTOmjUrv/KzkHtnZ2dCFwmWIdUcA+YL1LAqfAV0k/C3fo7BQvaOPgLr9tZbGxKGiQOBAM2dO8fRfJ1JPM2W2z4r4vihDehCoJuFkRUc4FVXZ2wZGLodW7f+nmbMmEELFy50RjY2pYoupN55hpXA/5IDLEB8sm3AeQYMmeYYbCqirckMhklBCCTjoQ1KYm50tQ4fPkI4whJnFC1ceJOhNf1QMPxKYXHbsmXLbG3gXBLDdtDkYVVYi+Sg5hj0s89O7mXIpU5mnh08k4IaIpmP/enrajl6cJwSvhoOxHj87NmztL3JmQL65a+99ro2O3v33Xdr+wLcDnCWk4dVU024AfyBOYb47LOZAQm365VLfoNlUtDwwXF9kDh29KhqDAxdAhL4FghTpkymadOmZexefPDBh3To0CHCcS633XZbLu2a8Vk1x6B3oNHF0y+dUAlgL4PyFdTsc0WFa4ujHZOBkYQHz6SgiaNHlWCcOrw6WfAHDx6kffv2a0ulq6tH0nXXXZfWOij/Be84DAxj7LkG/RyDAiJ5l5vKA3MMybPPsIDFGgbDpKClw6tVgztx/UEqZTp79lPauXMnqb47xs+bmiYRlkcnO6zo4mA0C0DNnDmT5s2bZ3iER23q0VsGjNtn3tQz4ECnO9e1GAEZHJOCOVx/oLMktl6gk06ZYBUOHTqsLXJTa4fQfRk7dqw2lg6fQ60VOnGild577z1NsfGLPnv2bJo4caK2f1kF/aYe5TfAh0g1xzBkSCmNHFmtnYyhhlXV+UzFqPxG6vz225sTDq4upEnB+KU54mf19fU/zukCHb2g7LqCLZvw0eXBpBOGDtHH1Yd4f79KO2AM8WAJlJMMSwOA8B0sUaqRJKSFoVXEw2gYTsUAEF6acMsmHy98X8iTgkKIdiLx54FAwNBJPqauVLPjEk8zDYzuD7pf8Alg0lOtSs2UHqABVJhbqKsbq3XZuJtkpgWujgurjXks/Q9QoUwKCiH2+Xz+u+vq6t43KgVTgCBRXAMdiUR+RBT7oZVroI0WLFW89vZL1N5+kTD2DljQLevuxnuPZgUw2xyfbxhB1dWjqFhGk3KRqdlnjx8/Trt27e5/rBB2CgpB3US+n9fX1/9MCHH12v8MQjANiEorbk16HpSS5pkVMscvXAmoSV5VA6/vFBSCtvl8JSvMWA1961gGpM+a+CKRyHeJ5E+llJWF2+xccqMSgNXetm2b1vXFwMn8+fP6D5w2moYb8YQQF4nEP9XX1/9P8q1RZvLPCRCVUTgcHiOl/CGR/AsicmYnjplacVzHJYAhc4+O9HUSif8VQvw8EAiczlUQtgCiCnHq1KlAd3f3PxHFvuO2f5KrIPj5wpZAn5/xUGlp6U9ramoy371goqq2AqLyPXnyZFNvb/ePicQ9uDHXRHk4KkvAlATiN9PKp3y+kp/U1dUdNvWwgciOAKLyPXPmzLjLlztDRGKllNLe8+kNVI6jDF4JCCFOE8m1ZWUVq0aPHn3CqZo6CogqNNZ1RaPhb8Zi9D0iWXi7nZySPqdrQQJit89H/11XF3haCNFlIQFTj7gCiL5E4XB4MZEMEdEdUsps9/KaqgxHHpwSEELg/NLnicSqQCCw2c1aug6IqhwWQvb09HyVSH6LiL7Ivoqbze79vOK+Bf0fkXiypKTkudra2sR1Ry5VIW+A6OsXjUZre3t778DBmPAAAAI6SURBVO6DZb5LdedsvCmBdwCF3+9fV1dXF98slMfgCUCSumCNQsgvSymXSklLeF4lj9rhTtadQtAGIcR6KbWNS0fdydZYLp4DRF9snLQSjUZvjsViS4Wg26SUVi++NiYNjuWKBIQQR6Wkl30+3/q6urq3hBBXb+J3pSTZM/E0IMnFj0Qi10kp/4QotphILJJSjs1eRY6RbwkIIU4SyRYi32YhxBv19fUD9yLku3BZ8i8oQJLrcurUiWt6e8Wi3l7CyBiO8JvicXkXS/EOEokWv582+/2ypaZm3IFCrXhBA5Is9La2trqenp6biGi2lJhv0eZcxhVq4xRIuU8Qid1CCKyB31VSUrK1trY2WiBlz1rMQQVIqtpeuHBidEcHzZIy/iLSXtfyWrGsupEQIb7WiT4iot1CxF9Dh9LuESPGnTGXUmHFHvSApGoOzLm0tbU19vb2TpVSThGCphLJKVLSVCFoYrHCAwikpCNC0MdE4qCU9LEQ4qDf7/+4trb2aN/cRGFpeI6lLUpAMslMSulva2ub2NPT0+TzyUAsJup9PgpIKQNSinohtM/1RFRo5/1cFkJEpKSwEDIihAjHYhT2+WQkFhPhkpKSQ7W1tUdwsnmOOjWoHmdALDbn+fPnR3V2dgKW0ULEqmIxUSWlHCmErJJSVAlBVVIS3kcS4X9ULoQolVKWZnpHcaSU3UKI7szv1EUkzuNSKSEI7+eFkOelFOeFEOd8Pnz24fOZioqKcFVV1VmLVS3qx/4fQLyzKIIkCJoAAAAASUVORK5CYII="},55351:function(wr){"use strict";wr.exports="data:image/png;base64,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"},90556:function(wr){"use strict";wr.exports="data:image/png;base64,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"},52590:function(wr){"use strict";wr.exports="data:image/png;base64,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0,this.panelRow.className=this.panelRow.className.replace(this.styles.fadeInAnimationClassName,""),this.panelRow.className+=" "+this.styles.fadeOutAnimationClassName,setTimeout(function(){z.displayMode==="inline"?z.panelRow.style.display="none":z.panelRow.style.visibility="hidden"},200);this.panelButtons.forEach(function(ne,ge){var rt,we;ne.className=z.toolboxButtonStyleClass.name+" "+(ge===se?""+((rt=z.uiStyleSettings.toolboxActiveButtonStyleColorsClassName)!==null&&rt!==void 0?rt:z.toolboxActiveButtonStyleColorsClass.name):""+((we=z.uiStyleSettings.toolboxButtonStyleColorsClassName)!==null&&we!==void 0?we:z.toolboxButtonStyleColorsClass.name))})},le}(),ut=function(le,te){this.title=le,this.icon=te},Re=function(le){function te(z,se,de,ne){var ge=le.call(this,z,ne||'')||this;return ge.colors=[],ge.addTransparent=!1,ge.colorBoxes=[],ge.colors=se,ge.currentColor=de,ge.setCurrentColor=ge.setCurrentColor.bind(ge),ge.getColorBox=ge.getColorBox.bind(ge),ge}return je(te,le),te.prototype.getUi=function(){var z=this,se=document.createElement("div");return se.style.overflow="hidden",se.style.whiteSpace="nowrap",this.colors.forEach(function(de){var ne=z.getColorBox(de);se.appendChild(ne),z.colorBoxes.push(ne)}),se},te.prototype.getColorBox=function(z){var se=this,de=this.uiStyleSettings.toolbarHeight/4,ne=this.uiStyleSettings.toolbarHeight-de,ge=document.createElement("div");ge.style.display="inline-block",ge.style.boxSizing="content-box",ge.style.width=ne-2+"px",ge.style.height=ne-2+"px",ge.style.padding="1px",ge.style.marginRight="2px",ge.style.marginBottom="2px",ge.style.borderWidth="2px",ge.style.borderStyle="solid",ge.style.borderRadius=(ne+2)/2+"px",ge.style.borderColor=z===this.currentColor?this.uiStyleSettings.toolboxAccentColor:"transparent",ge.addEventListener("click",function(){se.setCurrentColor(z,ge)});var rt=document.createElement("div");return rt.style.display="inline-block",rt.style.width=ne-2+"px",rt.style.height=ne-2+"px",rt.style.backgroundColor=z,rt.style.borderRadius=ne/2+"px",z==="transparent"&&(rt.style.fill=this.uiStyleSettings.toolboxAccentColor,rt.innerHTML=` + + `),ge.appendChild(rt),ge},te.prototype.setCurrentColor=function(z,se){var de=this;this.currentColor=z,this.colorBoxes.forEach(function(ne){ne.style.borderColor=ne===se?de.uiStyleSettings.toolboxAccentColor:"transparent"}),this.onColorChanged&&this.onColorChanged(z)},te}(ut),me=function(){function le(te,z,se){this._state="new",this._isSelected=!1,this._container=te,this._overlayContainer=z,this.globalSettings=se,this.stateChanged=this.stateChanged.bind(this),this.colorChanged=this.colorChanged.bind(this),this.fillColorChanged=this.fillColorChanged.bind(this)}return Object.defineProperty(le.prototype,"typeName",{get:function(){return Object.getPrototypeOf(this).constructor.typeName},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"container",{get:function(){return this._container},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"overlayContainer",{get:function(){return this._overlayContainer},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"state",{get:function(){return this._state},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"toolboxPanels",{get:function(){return[]},enumerable:!1,configurable:!0}),le.prototype.ownsTarget=function(te){return!1},Object.defineProperty(le.prototype,"isSelected",{get:function(){return this._isSelected},enumerable:!1,configurable:!0}),le.prototype.select=function(){this.container.style.cursor="move",this._isSelected=!0,this.manipulationStartState=this.getState()},le.prototype.deselect=function(){this.container.style.cursor="default",this._isSelected=!1,this.stateChanged()},le.prototype.pointerDown=function(te,z){},le.prototype.dblClick=function(te,z){},le.prototype.manipulate=function(te){},le.prototype.pointerUp=function(te){this.stateChanged()},le.prototype.dispose=function(){},le.prototype.addMarkerVisualToContainer=function(te){this.container.childNodes.length>0?this.container.insertBefore(te,this.container.childNodes[0]):this.container.appendChild(te)},le.prototype.getState=function(){return{typeName:le.typeName,state:this.state,notes:this.notes}},le.prototype.restoreState=function(te){this._state=te.state,this.notes=te.notes},le.prototype.scale=function(te,z){},le.prototype.colorChanged=function(te){this.onColorChanged&&this.onColorChanged(te),this.stateChanged()},le.prototype.fillColorChanged=function(te){this.onFillColorChanged&&this.onFillColorChanged(te),this.stateChanged()},le.prototype.stateChanged=function(){if(this.onStateChanged&&this.state!=="creating"&&this.state!=="new"){var te=this.getState();this.manipulationStartState!==void 0&&(this.manipulationStartState.state="select"),te.state="select",JSON.stringify(this.manipulationStartState)!=JSON.stringify(te)&&this.onStateChanged(this)}},le.typeName="MarkerBase",le}(),$e=function(){function le(){this.findGripByVisual=this.findGripByVisual.bind(this)}return le.prototype.findGripByVisual=function(te){return this.topLeft.ownsTarget(te)?this.topLeft:this.topCenter.ownsTarget(te)?this.topCenter:this.topRight.ownsTarget(te)?this.topRight:this.centerLeft.ownsTarget(te)?this.centerLeft:this.centerRight.ownsTarget(te)?this.centerRight:this.bottomLeft.ownsTarget(te)?this.bottomLeft:this.bottomCenter.ownsTarget(te)?this.bottomCenter:this.bottomRight.ownsTarget(te)?this.bottomRight:void 0},le}(),st=function(){function le(){this.GRIP_SIZE=10,this.visual=ze.createGroup(),this.visual.appendChild(ze.createCircle(1.5*this.GRIP_SIZE,[["fill","transparent"]])),this.visual.appendChild(ze.createCircle(this.GRIP_SIZE,[["fill","#cccccc"],["fill-opacity","0.7"],["stroke","#333333"],["stroke-width","2"],["stroke-opacity","0.7"]]))}return le.prototype.ownsTarget=function(te){return te===this.visual||te===this.visual.childNodes[0]||te===this.visual.childNodes[1]},le}(),Mt=function(){function le(){}return le.toITransformMatrix=function(te){return{a:te.a,b:te.b,c:te.c,d:te.d,e:te.e,f:te.f}},le.toSVGMatrix=function(te,z){return te.a=z.a,te.b=z.b,te.c=z.c,te.d=z.d,te.e=z.e,te.f=z.f,te},le}(),Pe=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.left=0,ne.top=0,ne.width=0,ne.height=0,ne.defaultSize={x:50,y:20},ne.offsetX=0,ne.offsetY=0,ne.rotationAngle=0,ne.CB_DISTANCE=10,ne._suppressMarkerCreateEvent=!1,ne.container.transform.baseVal.appendItem(ze.createTransform()),ne.setupControlBox(),ne}return je(te,le),Object.defineProperty(te.prototype,"centerX",{get:function(){return this.left+this.width/2},enumerable:!1,configurable:!0}),Object.defineProperty(te.prototype,"centerY",{get:function(){return this.top+this.height/2},enumerable:!1,configurable:!0}),Object.defineProperty(te.prototype,"visual",{get:function(){return this._visual},set:function(z){this._visual=z;var se=ze.createTransform();this._visual.transform.baseVal.appendItem(se)},enumerable:!1,configurable:!0}),te.prototype.ownsTarget=function(z){return!!le.prototype.ownsTarget.call(this,z)||!!(this.controlGrips.findGripByVisual(z)!==void 0||this.rotatorGrip!==void 0&&this.rotatorGrip.ownsTarget(z))},te.prototype.pointerDown=function(z,se){le.prototype.pointerDown.call(this,z,se),this.state==="new"&&(this.left=z.x,this.top=z.y),this.manipulationStartLeft=this.left,this.manipulationStartTop=this.top,this.manipulationStartWidth=this.width,this.manipulationStartHeight=this.height;var de=this.unrotatePoint(z);if(this.manipulationStartX=de.x,this.manipulationStartY=de.y,this.offsetX=de.x-this.left,this.offsetY=de.y-this.top,this.state!=="new")if(this.select(),this.activeGrip=this.controlGrips.findGripByVisual(se),this.activeGrip!==void 0)this._state="resize";else if(this.rotatorGrip!==void 0&&this.rotatorGrip.ownsTarget(se)){this.activeGrip=this.rotatorGrip;var ne=this.rotatePoint({x:this.centerX,y:this.centerY});this.left=ne.x-this.width/2,this.top=ne.y-this.height/2,this.moveVisual({x:this.left,y:this.top});var ge=this.container.transform.baseVal.getItem(0);ge.setRotate(this.rotationAngle,this.centerX,this.centerY),this.container.transform.baseVal.replaceItem(ge,0),this.adjustControlBox(),this._state="rotate"}else this._state="move"},te.prototype.pointerUp=function(z){var se=this.state;le.prototype.pointerUp.call(this,z),this.state==="creating"&&this.width<10&&this.height<10?(this.width=this.defaultSize.x,this.height=this.defaultSize.y):this.manipulate(z),this._state="select",se==="creating"&&this.onMarkerCreated&&this._suppressMarkerCreateEvent===!1&&this.onMarkerCreated(this)},te.prototype.moveVisual=function(z){this.visual.style.transform="translate("+z.x+"px, "+z.y+"px)"},te.prototype.manipulate=function(z){var se=this.unrotatePoint(z);this.state==="creating"?this.resize(z):this.state==="move"?(this.left=this.manipulationStartLeft+(se.x-this.manipulationStartLeft)-this.offsetX,this.top=this.manipulationStartTop+(se.y-this.manipulationStartTop)-this.offsetY,this.moveVisual({x:this.left,y:this.top}),this.adjustControlBox()):this.state==="resize"?this.resize(se):this.state==="rotate"&&this.rotate(z)},te.prototype.resize=function(z){var se=this.manipulationStartLeft,de=this.manipulationStartWidth,ne=this.manipulationStartTop,ge=this.manipulationStartHeight;switch(this.activeGrip){case this.controlGrips.bottomLeft:case this.controlGrips.centerLeft:case this.controlGrips.topLeft:se=this.manipulationStartLeft+z.x-this.manipulationStartX,de=this.manipulationStartWidth+this.manipulationStartLeft-se;break;case this.controlGrips.bottomRight:case this.controlGrips.centerRight:case this.controlGrips.topRight:case void 0:de=this.manipulationStartWidth+z.x-this.manipulationStartX}switch(this.activeGrip){case this.controlGrips.topCenter:case this.controlGrips.topLeft:case this.controlGrips.topRight:ne=this.manipulationStartTop+z.y-this.manipulationStartY,ge=this.manipulationStartHeight+this.manipulationStartTop-ne;break;case this.controlGrips.bottomCenter:case this.controlGrips.bottomLeft:case this.controlGrips.bottomRight:case void 0:ge=this.manipulationStartHeight+z.y-this.manipulationStartY}de>=0?(this.left=se,this.width=de):(this.left=se+de,this.width=-de),ge>=0?(this.top=ne,this.height=ge):(this.top=ne+ge,this.height=-ge),this.setSize()},te.prototype.setSize=function(){this.moveVisual({x:this.left,y:this.top}),this.adjustControlBox()},te.prototype.rotate=function(z){if(Math.abs(z.x-this.centerX)>.1){var se=Math.sign(z.x-this.centerX);this.rotationAngle=180*Math.atan((z.y-this.centerY)/(z.x-this.centerX))/Math.PI+90*se,this.applyRotation()}},te.prototype.applyRotation=function(){var z=this.container.transform.baseVal.getItem(0);z.setRotate(this.rotationAngle,this.centerX,this.centerY),this.container.transform.baseVal.replaceItem(z,0)},te.prototype.rotatePoint=function(z){if(this.rotationAngle===0)return z;var se=this.container.getCTM(),de=ze.createPoint(z.x,z.y);return{x:(de=de.matrixTransform(se)).x,y:de.y}},te.prototype.unrotatePoint=function(z){if(this.rotationAngle===0)return z;var se=this.container.getCTM();se=se.inverse();var de=ze.createPoint(z.x,z.y);return{x:(de=de.matrixTransform(se)).x,y:de.y}},te.prototype.select=function(){le.prototype.select.call(this),this.adjustControlBox(),this.controlBox.style.display=""},te.prototype.deselect=function(){le.prototype.deselect.call(this),this.controlBox.style.display="none"},te.prototype.setupControlBox=function(){this.controlBox=ze.createGroup();var z=ze.createTransform();z.setTranslate(-this.CB_DISTANCE/2,-this.CB_DISTANCE/2),this.controlBox.transform.baseVal.appendItem(z),this.container.appendChild(this.controlBox),this.controlRect=ze.createRect(this.width+this.CB_DISTANCE,this.height+this.CB_DISTANCE,[["stroke","black"],["stroke-width","1"],["stroke-opacity","0.5"],["stroke-dasharray","3, 2"],["fill","transparent"],["pointer-events","none"]]),this.controlBox.appendChild(this.controlRect),this.globalSettings.disableRotation!==!0&&(this.rotatorGripLine=ze.createLine((this.width+2*this.CB_DISTANCE)/2,this.top-this.CB_DISTANCE,(this.width+2*this.CB_DISTANCE)/2,this.top-3*this.CB_DISTANCE,[["stroke","black"],["stroke-width","1"],["stroke-opacity","0.5"],["stroke-dasharray","3, 2"]]),this.controlBox.appendChild(this.rotatorGripLine)),this.controlGrips=new $e,this.addControlGrips(),this.controlBox.style.display="none"},te.prototype.adjustControlBox=function(){var z=this.controlBox.transform.baseVal.getItem(0);z.setTranslate(this.left-this.CB_DISTANCE/2,this.top-this.CB_DISTANCE/2),this.controlBox.transform.baseVal.replaceItem(z,0),this.controlRect.setAttribute("width",(this.width+this.CB_DISTANCE).toString()),this.controlRect.setAttribute("height",(this.height+this.CB_DISTANCE).toString()),this.rotatorGripLine!==void 0&&(this.rotatorGripLine.setAttribute("x1",((this.width+this.CB_DISTANCE)/2).toString()),this.rotatorGripLine.setAttribute("y1",(-this.CB_DISTANCE/2).toString()),this.rotatorGripLine.setAttribute("x2",((this.width+this.CB_DISTANCE)/2).toString()),this.rotatorGripLine.setAttribute("y2",(3*-this.CB_DISTANCE).toString())),this.positionGrips()},te.prototype.addControlGrips=function(){this.controlGrips.topLeft=this.createGrip(),this.controlGrips.topCenter=this.createGrip(),this.controlGrips.topRight=this.createGrip(),this.controlGrips.centerLeft=this.createGrip(),this.controlGrips.centerRight=this.createGrip(),this.controlGrips.bottomLeft=this.createGrip(),this.controlGrips.bottomCenter=this.createGrip(),this.controlGrips.bottomRight=this.createGrip(),this.globalSettings.disableRotation!==!0&&(this.rotatorGrip=this.createGrip()),this.positionGrips()},te.prototype.createGrip=function(){var z=new st;return z.visual.transform.baseVal.appendItem(ze.createTransform()),this.controlBox.appendChild(z.visual),z},te.prototype.positionGrips=function(){var z=this.controlGrips.topLeft.GRIP_SIZE,se=-z/2,de=se,ne=(this.width+this.CB_DISTANCE)/2-z/2,ge=(this.height+this.CB_DISTANCE)/2-z/2,rt=this.height+this.CB_DISTANCE-z/2,we=this.width+this.CB_DISTANCE-z/2;this.positionGrip(this.controlGrips.topLeft.visual,se,de),this.positionGrip(this.controlGrips.topCenter.visual,ne,de),this.positionGrip(this.controlGrips.topRight.visual,we,de),this.positionGrip(this.controlGrips.centerLeft.visual,se,ge),this.positionGrip(this.controlGrips.centerRight.visual,we,ge),this.positionGrip(this.controlGrips.bottomLeft.visual,se,rt),this.positionGrip(this.controlGrips.bottomCenter.visual,ne,rt),this.positionGrip(this.controlGrips.bottomRight.visual,we,rt),this.rotatorGrip!==void 0&&this.positionGrip(this.rotatorGrip.visual,ne,de-3*this.CB_DISTANCE)},te.prototype.positionGrip=function(z,se,de){var ne=z.transform.baseVal.getItem(0);ne.setTranslate(se,de),z.transform.baseVal.replaceItem(ne,0)},te.prototype.hideControlBox=function(){this.controlBox.style.display="none"},te.prototype.showControlBox=function(){this.controlBox.style.display=""},te.prototype.getState=function(){return Object.assign({left:this.left,top:this.top,width:this.width,height:this.height,rotationAngle:this.rotationAngle,visualTransformMatrix:Mt.toITransformMatrix(this.visual.transform.baseVal.getItem(0).matrix),containerTransformMatrix:Mt.toITransformMatrix(this.container.transform.baseVal.getItem(0).matrix)},le.prototype.getState.call(this))},te.prototype.restoreState=function(z){le.prototype.restoreState.call(this,z);var se=z;this.left=se.left,this.top=se.top,this.width=se.width,this.height=se.height,this.rotationAngle=se.rotationAngle,this.visual.transform.baseVal.getItem(0).setMatrix(Mt.toSVGMatrix(this.visual.transform.baseVal.getItem(0).matrix,se.visualTransformMatrix)),this.container.transform.baseVal.getItem(0).setMatrix(Mt.toSVGMatrix(this.container.transform.baseVal.getItem(0).matrix,se.containerTransformMatrix))},te.prototype.scale=function(z,se){le.prototype.scale.call(this,z,se);var de=this.rotatePoint({x:this.left,y:this.top}),ne=this.unrotatePoint({x:de.x*z,y:de.y*se});this.left=ne.x,this.top=ne.y,this.width=this.width*z,this.height=this.height*se,this.adjustControlBox()},te}(me),Ne=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.fillColor="transparent",ne.strokeColor="transparent",ne.strokeWidth=0,ne.strokeDasharray="",ne.opacity=1,ne.setStrokeColor=ne.setStrokeColor.bind(ne),ne.setFillColor=ne.setFillColor.bind(ne),ne.setStrokeWidth=ne.setStrokeWidth.bind(ne),ne.setStrokeDasharray=ne.setStrokeDasharray.bind(ne),ne.createVisual=ne.createVisual.bind(ne),ne}return je(te,le),te.prototype.ownsTarget=function(z){return!(!le.prototype.ownsTarget.call(this,z)&&z!==this.visual)},te.prototype.createVisual=function(){this.visual=ze.createRect(1,1,[["fill",this.fillColor],["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()],["stroke-dasharray",this.strokeDasharray],["opacity",this.opacity.toString()]]),this.addMarkerVisualToContainer(this.visual)},te.prototype.pointerDown=function(z,se){le.prototype.pointerDown.call(this,z,se),this.state==="new"&&(this.createVisual(),this.moveVisual(z),this._state="creating")},te.prototype.manipulate=function(z){le.prototype.manipulate.call(this,z)},te.prototype.resize=function(z){le.prototype.resize.call(this,z),this.setSize()},te.prototype.setSize=function(){le.prototype.setSize.call(this),ze.setAttributes(this.visual,[["width",this.width.toString()],["height",this.height.toString()]])},te.prototype.pointerUp=function(z){le.prototype.pointerUp.call(this,z),this.setSize()},te.prototype.setStrokeColor=function(z){this.strokeColor=z,this.visual&&ze.setAttributes(this.visual,[["stroke",this.strokeColor]]),this.colorChanged(z),this.stateChanged()},te.prototype.setFillColor=function(z){this.fillColor=z,this.visual&&ze.setAttributes(this.visual,[["fill",this.fillColor]]),this.stateChanged()},te.prototype.setStrokeWidth=function(z){this.strokeWidth=z,this.visual&&ze.setAttributes(this.visual,[["stroke-width",this.strokeWidth.toString()]]),this.stateChanged()},te.prototype.setStrokeDasharray=function(z){this.strokeDasharray=z,this.visual&&ze.setAttributes(this.visual,[["stroke-dasharray",this.strokeDasharray]]),this.stateChanged()},te.prototype.getState=function(){return Object.assign({fillColor:this.fillColor,strokeColor:this.strokeColor,strokeWidth:this.strokeWidth,strokeDasharray:this.strokeDasharray,opacity:this.opacity},le.prototype.getState.call(this))},te.prototype.restoreState=function(z){var se=z;this.fillColor=se.fillColor,this.strokeColor=se.strokeColor,this.strokeWidth=se.strokeWidth,this.strokeDasharray=se.strokeDasharray,this.opacity=se.opacity,this.createVisual(),le.prototype.restoreState.call(this,z),this.setSize()},te.prototype.scale=function(z,se){le.prototype.scale.call(this,z,se),this.setSize()},te.title="Rectangle marker",te}(Pe),Xe=function(le){function te(z,se,de,ne){var ge=le.call(this,z,ne||'')||this;return ge.widths=[],ge.widthBoxes=[],ge.widths=se,ge.currentWidth=de,ge.setCurrentWidth=ge.setCurrentWidth.bind(ge),ge}return je(te,le),te.prototype.getUi=function(){var z=this,se=document.createElement("div");return se.style.display="flex",se.style.overflow="hidden",se.style.flexGrow="2",this.widths.forEach(function(de){var ne=document.createElement("div");ne.style.display="flex",ne.style.flexGrow="2",ne.style.alignItems="center",ne.style.justifyContent="space-between",ne.style.padding="5px",ne.style.borderWidth="2px",ne.style.borderStyle="solid",ne.style.borderColor=de===z.currentWidth?z.uiStyleSettings.toolboxAccentColor:"transparent",ne.addEventListener("click",function(){z.setCurrentWidth(de,ne)}),se.appendChild(ne);var ge=document.createElement("div");ge.innerText=de.toString(),ge.style.marginRight="5px",ne.appendChild(ge);var rt=document.createElement("div");rt.style.minHeight="20px",rt.style.flexGrow="2",rt.style.display="flex",rt.style.alignItems="center";var we=document.createElement("hr");we.style.minWidth="20px",we.style.border="0px",we.style.borderTop=de+"px solid "+z.uiStyleSettings.toolboxColor,we.style.flexGrow="2",rt.appendChild(we),ne.appendChild(rt),z.widthBoxes.push(ne)}),se},te.prototype.setCurrentWidth=function(z,se){var de=this;this.currentWidth=z,this.widthBoxes.forEach(function(ne){ne.style.borderColor=ne===se?de.uiStyleSettings.toolboxAccentColor:"transparent"}),this.onWidthChanged&&this.onWidthChanged(this.currentWidth)},te}(ut),Ae=function(le){function te(z,se,de,ne){var ge=le.call(this,z,ne||'')||this;return ge.styles=[],ge.styleBoxes=[],ge.styles=se,ge.currentStyle=de,ge.setCurrentStyle=ge.setCurrentStyle.bind(ge),ge}return je(te,le),te.prototype.getUi=function(){var z=this,se=document.createElement("div");return se.style.display="flex",se.style.overflow="hidden",se.style.flexGrow="2",this.styles.forEach(function(de){var ne=document.createElement("div");ne.style.display="flex",ne.style.alignItems="center",ne.style.justifyContent="space-between",ne.style.padding="5px",ne.style.borderWidth="2px",ne.style.borderStyle="solid",ne.style.overflow="hidden",ne.style.maxWidth=100/z.styles.length-5+"%",ne.style.borderColor=de===z.currentStyle?z.uiStyleSettings.toolboxAccentColor:"transparent",ne.addEventListener("click",function(){z.setCurrentStyle(de,ne)}),se.appendChild(ne);var ge=document.createElement("div");ge.style.minHeight="20px",ge.style.flexGrow="2",ge.style.overflow="hidden";var rt=` + + `;ge.innerHTML=rt,ne.appendChild(ge),z.styleBoxes.push(ne)}),se},te.prototype.setCurrentStyle=function(z,se){var de=this;this.currentStyle=z,this.styleBoxes.forEach(function(ne){ne.style.borderColor=ne===se?de.uiStyleSettings.toolboxAccentColor:"transparent"}),this.onStyleChanged&&this.onStyleChanged(this.currentStyle)},te}(ut),Ke=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.strokeColor=de.defaultColor,ne.strokeWidth=de.defaultStrokeWidth,ne.strokeDasharray=de.defaultStrokeDasharray,ne.strokePanel=new Re("Line color",de.defaultColorSet,de.defaultColor),ne.strokePanel.onColorChanged=ne.setStrokeColor,ne.strokeWidthPanel=new Xe("Line width",de.defaultStrokeWidths,de.defaultStrokeWidth),ne.strokeWidthPanel.onWidthChanged=ne.setStrokeWidth,ne.strokeStylePanel=new Ae("Line style",de.defaultStrokeDasharrays,de.defaultStrokeDasharray),ne.strokeStylePanel.onStyleChanged=ne.setStrokeDasharray,ne}return je(te,le),Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=le.prototype.getState.call(this);return z.typeName=te.typeName,z},te.typeName="FrameMarker",te.title="Frame marker",te.icon='',te}(Ne),Je=function(){this.defaultColorSet=["#EF4444","#10B981","#2563EB","#FFFF00","#7C3AED","#F472B6","#000000","#FFFFFF"],this.defaultColor=this.defaultColorSet[0],this.defaultFillColor=this.defaultColorSet[0],this.defaultStrokeColor=this.defaultColorSet[7],this.defaultHighlightColor=this.defaultColorSet[3],this.defaultStrokeWidth=3,this.defaultStrokeDasharray="",this.defaultHighlightOpacity=.5,this.defaultFontFamily="Helvetica, Arial, sans-serif",this.defaultStrokeWidths=[1,2,3,5,10],this.defaultStrokeDasharrays=["","3","12 3","9 6 3 6"],this.defaultOpacitySteps=[.1,.25,.5,.75,1],this.displayMode="inline",this.defaultFontFamilies=['Times, "Times New Roman", serif',"Helvetica, Arial, sans-serif",'Courier, "Courier New", monospace',"cursive","fantasy"],this.popupMargin=30,this.newFreehandMarkerOnPointerUp=!1,this.defaultColorsFollowCurrentColors=!1,this.freehandPixelRatio=1,this.disableRotation=!1,this.defaultCaptionFontSize="1rem",this.defaultCaptionText="Text"},lt=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.x1=0,ne.y1=0,ne.x2=0,ne.y2=0,ne.defaultLength=50,ne.manipulationStartX=0,ne.manipulationStartY=0,ne.manipulationStartX1=0,ne.manipulationStartY1=0,ne.manipulationStartX2=0,ne.manipulationStartY2=0,ne.setupControlBox(),ne}return je(te,le),te.prototype.ownsTarget=function(z){return!!le.prototype.ownsTarget.call(this,z)||!(!this.grip1.ownsTarget(z)&&!this.grip2.ownsTarget(z))},te.prototype.pointerDown=function(z,se){le.prototype.pointerDown.call(this,z,se),this.manipulationStartX=z.x,this.manipulationStartY=z.y,this.state==="new"&&(this.x1=z.x,this.y1=z.y,this.x2=z.x,this.y2=z.y),this.manipulationStartX1=this.x1,this.manipulationStartY1=this.y1,this.manipulationStartX2=this.x2,this.manipulationStartY2=this.y2,this.state!=="new"&&(this.select(),this.grip1.ownsTarget(se)?this.activeGrip=this.grip1:this.grip2.ownsTarget(se)?this.activeGrip=this.grip2:this.activeGrip=void 0,this.activeGrip?this._state="resize":this._state="move")},te.prototype.pointerUp=function(z){var se=this.state;le.prototype.pointerUp.call(this,z),this.state==="creating"&&Math.abs(this.x1-this.x2)<10&&Math.abs(this.y1-this.y2)<10?(this.x2=this.x1+this.defaultLength,this.adjustVisual(),this.adjustControlBox()):this.manipulate(z),this._state="select",se==="creating"&&this.onMarkerCreated&&this.onMarkerCreated(this)},te.prototype.adjustVisual=function(){},te.prototype.manipulate=function(z){this.state==="creating"?this.resize(z):this.state==="move"?(this.x1=this.manipulationStartX1+z.x-this.manipulationStartX,this.y1=this.manipulationStartY1+z.y-this.manipulationStartY,this.x2=this.manipulationStartX2+z.x-this.manipulationStartX,this.y2=this.manipulationStartY2+z.y-this.manipulationStartY,this.adjustVisual(),this.adjustControlBox()):this.state==="resize"&&this.resize(z)},te.prototype.resize=function(z){switch(this.activeGrip){case this.grip1:this.x1=z.x,this.y1=z.y;break;case this.grip2:case void 0:this.x2=z.x,this.y2=z.y}this.adjustVisual(),this.adjustControlBox()},te.prototype.select=function(){le.prototype.select.call(this),this.adjustControlBox(),this.controlBox.style.display=""},te.prototype.deselect=function(){le.prototype.deselect.call(this),this.controlBox.style.display="none"},te.prototype.setupControlBox=function(){this.controlBox=ze.createGroup(),this.container.appendChild(this.controlBox),this.addControlGrips(),this.controlBox.style.display="none"},te.prototype.adjustControlBox=function(){this.positionGrips()},te.prototype.addControlGrips=function(){this.grip1=this.createGrip(),this.grip2=this.createGrip(),this.positionGrips()},te.prototype.createGrip=function(){var z=new st;return z.visual.transform.baseVal.appendItem(ze.createTransform()),this.controlBox.appendChild(z.visual),z},te.prototype.positionGrips=function(){var z=this.grip1.GRIP_SIZE;this.positionGrip(this.grip1.visual,this.x1-z/2,this.y1-z/2),this.positionGrip(this.grip2.visual,this.x2-z/2,this.y2-z/2)},te.prototype.positionGrip=function(z,se,de){var ne=z.transform.baseVal.getItem(0);ne.setTranslate(se,de),z.transform.baseVal.replaceItem(ne,0)},te.prototype.getState=function(){return Object.assign({x1:this.x1,y1:this.y1,x2:this.x2,y2:this.y2},le.prototype.getState.call(this))},te.prototype.restoreState=function(z){le.prototype.restoreState.call(this,z);var se=z;this.x1=se.x1,this.y1=se.y1,this.x2=se.x2,this.y2=se.y2},te.prototype.scale=function(z,se){le.prototype.scale.call(this,z,se),this.x1=this.x1*z,this.y1=this.y1*se,this.x2=this.x2*z,this.y2=this.y2*se,this.adjustVisual(),this.adjustControlBox()},te}(me),Kt=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.strokeColor="transparent",ne.strokeWidth=0,ne.strokeDasharray="",ne.setStrokeColor=ne.setStrokeColor.bind(ne),ne.setStrokeWidth=ne.setStrokeWidth.bind(ne),ne.setStrokeDasharray=ne.setStrokeDasharray.bind(ne),ne.strokeColor=de.defaultColor,ne.strokeWidth=de.defaultStrokeWidth,ne.strokeDasharray=de.defaultStrokeDasharray,ne.strokePanel=new Re("Line color",de.defaultColorSet,de.defaultColor),ne.strokePanel.onColorChanged=ne.setStrokeColor,ne.strokeWidthPanel=new Xe("Line width",de.defaultStrokeWidths,de.defaultStrokeWidth),ne.strokeWidthPanel.onWidthChanged=ne.setStrokeWidth,ne.strokeStylePanel=new Ae("Line style",de.defaultStrokeDasharrays,de.defaultStrokeDasharray),ne.strokeStylePanel.onStyleChanged=ne.setStrokeDasharray,ne}return je(te,le),te.prototype.ownsTarget=function(z){return!(!le.prototype.ownsTarget.call(this,z)&&z!==this.visual&&z!==this.selectorLine&&z!==this.visibleLine)},te.prototype.createVisual=function(){this.visual=ze.createGroup(),this.selectorLine=ze.createLine(this.x1,this.y1,this.x2,this.y2,[["stroke","transparent"],["stroke-width",(this.strokeWidth+10).toString()]]),this.visibleLine=ze.createLine(this.x1,this.y1,this.x2,this.y2,[["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()]]),this.visual.appendChild(this.selectorLine),this.visual.appendChild(this.visibleLine),this.addMarkerVisualToContainer(this.visual)},te.prototype.pointerDown=function(z,se){le.prototype.pointerDown.call(this,z,se),this.state==="new"&&(this.createVisual(),this.adjustVisual(),this._state="creating")},te.prototype.adjustVisual=function(){this.selectorLine&&this.visibleLine&&(this.selectorLine.setAttribute("x1",this.x1.toString()),this.selectorLine.setAttribute("y1",this.y1.toString()),this.selectorLine.setAttribute("x2",this.x2.toString()),this.selectorLine.setAttribute("y2",this.y2.toString()),this.visibleLine.setAttribute("x1",this.x1.toString()),this.visibleLine.setAttribute("y1",this.y1.toString()),this.visibleLine.setAttribute("x2",this.x2.toString()),this.visibleLine.setAttribute("y2",this.y2.toString()),ze.setAttributes(this.visibleLine,[["stroke",this.strokeColor]]),ze.setAttributes(this.visibleLine,[["stroke-width",this.strokeWidth.toString()]]),ze.setAttributes(this.visibleLine,[["stroke-dasharray",this.strokeDasharray.toString()]]))},te.prototype.setStrokeColor=function(z){this.strokeColor=z,this.adjustVisual(),this.colorChanged(z)},te.prototype.setStrokeWidth=function(z){this.strokeWidth=z,this.adjustVisual()},te.prototype.setStrokeDasharray=function(z){this.strokeDasharray=z,this.adjustVisual(),this.stateChanged()},Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=Object.assign({strokeColor:this.strokeColor,strokeWidth:this.strokeWidth,strokeDasharray:this.strokeDasharray},le.prototype.getState.call(this));return z.typeName=te.typeName,z},te.prototype.restoreState=function(z){le.prototype.restoreState.call(this,z);var se=z;this.strokeColor=se.strokeColor,this.strokeWidth=se.strokeWidth,this.strokeDasharray=se.strokeDasharray,this.createVisual(),this.adjustVisual()},te.typeName="LineMarker",te.title="Line marker",te.icon='',te}(lt),Rt=function(le){function te(z,se,de,ne){var ge=le.call(this,z,ne||'')||this;return ge.fonts=[],ge.fontBoxes=[],ge.fonts=se,ge.currentFont=de,ge.setCurrentFont=ge.setCurrentFont.bind(ge),ge}return je(te,le),te.prototype.getUi=function(){var z=this,se=document.createElement("div");return se.style.overflow="hidden",se.style.flexGrow="2",this.fonts.forEach(function(de){var ne=document.createElement("div");ne.style.display="inline-block",ne.style.alignItems="center",ne.style.justifyContent="space-between",ne.style.padding="5px",ne.style.borderWidth="2px",ne.style.borderStyle="solid",ne.style.overflow="hidden",ne.style.maxWidth=100/z.fonts.length-5+"%",ne.style.borderColor=de===z.currentFont?z.uiStyleSettings.toolboxAccentColor:"transparent",ne.addEventListener("click",function(){z.setCurrentFont(de,ne)}),se.appendChild(ne);var ge=document.createElement("div");ge.style.display="flex",ge.style.minHeight="20px",ge.style.flexGrow="2",ge.style.fontFamily=de,ge.style.overflow="hidden";var rt=document.createElement("div");rt.style.whiteSpace="nowrap",rt.style.overflow="hidden",rt.style.textOverflow="ellipsis",rt.innerHTML="The quick brown fox jumps over the lazy dog",ge.appendChild(rt),ne.appendChild(ge),z.fontBoxes.push(ne)}),se},te.prototype.setCurrentFont=function(z,se){var de=this;this.currentFont=z,this.fontBoxes.forEach(function(ne){ne.style.borderColor=ne===se?de.uiStyleSettings.toolboxAccentColor:"transparent"}),this.onFontChanged&&this.onFontChanged(this.currentFont)},te}(ut),At=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.color="transparent",ne.padding=5,ne.DEFAULT_TEXT="\u8BF7\u8F93\u5165\u6587\u672C",ne.text=ne.DEFAULT_TEXT,ne.isMoved=!1,ne.color=de.defaultColor,ne.fontFamily=de.defaultFontFamily,ne.defaultSize={x:100,y:30},ne.setColor=ne.setColor.bind(ne),ne.setFont=ne.setFont.bind(ne),ne.renderText=ne.renderText.bind(ne),ne.sizeText=ne.sizeText.bind(ne),ne.textEditDivClicked=ne.textEditDivClicked.bind(ne),ne.showTextEditor=ne.showTextEditor.bind(ne),ne.setSize=ne.setSize.bind(ne),ne.positionTextEditor=ne.positionTextEditor.bind(ne),ne.colorPanel=new Re("Color",de.defaultColorSet,de.defaultColor),ne.colorPanel.onColorChanged=ne.setColor,ne.fontFamilyPanel=new Rt("Font",de.defaultFontFamilies,de.defaultFontFamily),ne.fontFamilyPanel.onFontChanged=ne.setFont,ne}return je(te,le),te.prototype.ownsTarget=function(z){if(le.prototype.ownsTarget.call(this,z)||z===this.visual||z===this.textElement||z===this.bgRectangle)return!0;var se=!1;return this.textElement.childNodes.forEach(function(de){de===z&&(se=!0)}),se},te.prototype.createVisual=function(){this.visual=ze.createGroup(),this.bgRectangle=ze.createRect(1,1,[["fill","transparent"]]),this.visual.appendChild(this.bgRectangle),this.textElement=ze.createText([["fill",this.color],["font-family",this.fontFamily],["font-size","16px"],["x","0"],["y","0"]]),this.textElement.transform.baseVal.appendItem(ze.createTransform()),this.textElement.transform.baseVal.appendItem(ze.createTransform()),this.visual.appendChild(this.textElement),this.addMarkerVisualToContainer(this.visual),this.renderText()},te.prototype.pointerDown=function(z,se){le.prototype.pointerDown.call(this,z,se),this.isMoved=!1,this.pointerDownPoint=z,this.pointerDownTimestamp=Date.now(),this.state==="new"&&(this.createVisual(),this.moveVisual(z),this._state="creating")},te.prototype.renderText=function(){var z=this;if(this.textElement){for(;this.textElement.lastChild;)this.textElement.removeChild(this.textElement.lastChild);this.text.split(/\r\n|[\n\v\f\r\x85\u2028\u2029]/).forEach(function(se){z.textElement.appendChild(ze.createTSpan(se.trim()===""?" ":se.trim(),[["x","0"],["dy","1.2em"]]))}),setTimeout(this.sizeText,10)}},te.prototype.getTextScale=function(){var z=this.textElement.getBBox(),se=1;if(z.width>0&&z.height>0){var de=(1*this.width-this.width*this.padding*2/100)/z.width,ne=(1*this.height-this.height*this.padding*2/100)/z.height;se=Math.min(de,ne)}return se},te.prototype.getTextPosition=function(z){var se=this.textElement.getBBox(),de=0,ne=0;return se.width>0&&se.height>0&&(de=(this.width-se.width*z)/2,ne=this.height/2-se.height*z/2),{x:de,y:ne}},te.prototype.sizeText=function(){var z=this.textElement.getBBox(),se=this.getTextScale(),de=this.getTextPosition(se);de.y-=z.y*se,navigator.userAgent.indexOf("Edge/")>-1?this.textElement.style.transform="translate("+de.x+"px, "+de.y+"px) scale("+se+", "+se+")":(this.textElement.transform.baseVal.getItem(0).setTranslate(de.x,de.y),this.textElement.transform.baseVal.getItem(1).setScale(se,se))},te.prototype.manipulate=function(z){le.prototype.manipulate.call(this,z),this.pointerDownPoint!==void 0&&(this.isMoved=Math.abs(z.x-this.pointerDownPoint.x)>5||Math.abs(z.y-this.pointerDownPoint.y)>5)},te.prototype.resize=function(z){le.prototype.resize.call(this,z),this.isMoved=!0,this.setSize(),this.sizeText()},te.prototype.setSize=function(){le.prototype.setSize.call(this),this.visual&&this.bgRectangle&&(ze.setAttributes(this.visual,[["width",this.width.toString()],["height",this.height.toString()]]),ze.setAttributes(this.bgRectangle,[["width",this.width.toString()],["height",this.height.toString()]]))},te.prototype.pointerUp=function(z){var se=this.state;se==="creating"&&(this._suppressMarkerCreateEvent=!0),le.prototype.pointerUp.call(this,z),this.setSize(),(se==="creating"||!this.isMoved&&Date.now()-this.pointerDownTimestamp>500)&&this.showTextEditor(),this.pointerDownPoint=void 0},te.prototype.showTextEditor=function(){var z=this;this._state="edit",this.overlayContainer.innerHTML="",this.textEditDiv=document.createElement("div"),this.textEditDiv.style.flexGrow="2",this.textEditDiv.style.alignItems="center",this.textEditDiv.style.justifyContent="center",this.textEditDiv.style.pointerEvents="auto",this.textEditDiv.style.overflow="hidden",this.textEditor=document.createElement("div"),this.textEditor.style.position="absolute",this.textEditor.style.fontFamily=this.fontFamily,this.textEditor.style.lineHeight="1em",this.textEditor.innerText=this.text,this.textEditor.contentEditable="true",this.textEditor.style.color=this.color,this.textEditor.style.whiteSpace="pre",this.positionTextEditor(),this.textEditor.addEventListener("pointerup",function(se){se.stopPropagation()}),this.textEditor.addEventListener("input",function(){for(var se=Number.parseFloat(z.textEditor.style.fontSize);z.textEditor.clientWidth>=Number.parseInt(z.textEditor.style.maxWidth)&&se>.9;)se-=.1,z.textEditor.style.fontSize=Math.max(se,.9)+"em"}),this.textEditor.addEventListener("keyup",function(se){se.cancelBubble=!0}),this.textEditor.addEventListener("paste",function(se){if(se.clipboardData){var de=se.clipboardData.getData("text"),ne=window.getSelection();if(!ne.rangeCount)return!1;ne.deleteFromDocument(),ne.getRangeAt(0).insertNode(document.createTextNode(de)),se.preventDefault()}}),this.textEditDiv.addEventListener("pointerup",function(){z.textEditDivClicked(z.textEditor.innerText)}),this.textEditDiv.appendChild(this.textEditor),this.overlayContainer.appendChild(this.textEditDiv),this.hideVisual(),this.textEditor.focus(),document.execCommand("selectAll")},te.prototype.positionTextEditor=function(){if(this.state==="edit")if(this.textEditor===void 0)this.showTextEditor();else{this.textElement.style.display="";var z=this.getTextScale(),se=this.rotatePoint({x:this.left+this.width/2,y:this.top+this.height/2}),de=this.textElement.getBBox(),ne={x:de.width*z,y:de.height*z};se.x-=ne.x/2,se.y-=ne.y/2,this.textEditor.style.top=se.y+"px",this.textEditor.style.left=se.x+"px",this.textEditor.style.maxWidth=this.overlayContainer.offsetWidth-se.x+"px",this.textEditor.style.fontSize=Math.max(16*z,12)+"px",this.textElement.style.display="none"}},te.prototype.textEditDivClicked=function(z){this.text=z.trim(),this.overlayContainer.innerHTML="",this.renderText(),this.showVisual(),this._suppressMarkerCreateEvent&&(this._suppressMarkerCreateEvent=!1,this.onMarkerCreated&&this.onMarkerCreated(this)),this.stateChanged()},te.prototype.select=function(){le.prototype.select.call(this),this.state==="edit"&&this.textEditDivClicked(this.textEditor.innerText)},te.prototype.deselect=function(){this.state==="edit"&&this.textEditDivClicked(this.textEditor.innerText),le.prototype.deselect.call(this)},te.prototype.dblClick=function(z,se){le.prototype.dblClick.call(this,z,se),this.showTextEditor()},te.prototype.setColor=function(z){this.textElement&&ze.setAttributes(this.textElement,[["fill",z]]),this.color=z,this.textEditor&&(this.textEditor.style.color=this.color),this.colorChanged(z)},te.prototype.setFont=function(z){this.textElement&&ze.setAttributes(this.textElement,[["font-family",z]]),this.fontFamily=z,this.textEditor&&(this.textEditor.style.fontFamily=this.fontFamily),this.renderText(),this.stateChanged()},te.prototype.hideVisual=function(){this.textElement.style.display="none",this.hideControlBox()},te.prototype.showVisual=function(){this.state==="edit"&&(this._state="select"),this.textElement.style.display="",this.showControlBox()},Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return[this.colorPanel,this.fontFamilyPanel]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=Object.assign({color:this.color,fontFamily:this.fontFamily,padding:this.padding,text:this.text},le.prototype.getState.call(this));return z.typeName=te.typeName,z},te.prototype.restoreState=function(z){var se=z;this.color=se.color,this.fontFamily=se.fontFamily,this.padding=se.padding,this.text=se.text,this.createVisual(),le.prototype.restoreState.call(this,z),this.setSize()},te.prototype.scale=function(z,se){le.prototype.scale.call(this,z,se),this.setSize(),this.sizeText(),this.positionTextEditor()},te.typeName="TextMarker",te.title="Text marker",te.icon='',te}(Pe),Ft=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.color="transparent",ne.lineWidth=3,ne.drawing=!1,ne.pixelRatio=1,ne.color=de.defaultColor,ne.lineWidth=de.defaultStrokeWidth,ne.pixelRatio=de.freehandPixelRatio,ne.setColor=ne.setColor.bind(ne),ne.addCanvas=ne.addCanvas.bind(ne),ne.finishCreation=ne.finishCreation.bind(ne),ne.setLineWidth=ne.setLineWidth.bind(ne),ne.colorPanel=new Re("Color",de.defaultColorSet,de.defaultColor),ne.colorPanel.onColorChanged=ne.setColor,ne.lineWidthPanel=new Xe("Line width",de.defaultStrokeWidths,de.defaultStrokeWidth),ne.lineWidthPanel.onWidthChanged=ne.setLineWidth,ne}return je(te,le),te.prototype.ownsTarget=function(z){return!(!le.prototype.ownsTarget.call(this,z)&&z!==this.visual&&z!==this.drawingImage)},te.prototype.createVisual=function(){this.visual=ze.createGroup(),this.drawingImage=ze.createImage(),this.visual.appendChild(this.drawingImage);var z=ze.createTransform();this.visual.transform.baseVal.appendItem(z),this.addMarkerVisualToContainer(this.visual)},te.prototype.pointerDown=function(z,se){this.state==="new"&&(this.addCanvas(),this.createVisual(),this._state="creating"),this.state==="creating"?(this.canvasContext.strokeStyle=this.color,this.canvasContext.lineWidth=this.lineWidth,this.canvasContext.beginPath(),this.canvasContext.moveTo(z.x,z.y),this.drawing=!0):le.prototype.pointerDown.call(this,z,se)},te.prototype.manipulate=function(z){this.state==="creating"?this.drawing&&(this.canvasContext.lineTo(z.x,z.y),this.canvasContext.stroke()):le.prototype.manipulate.call(this,z)},te.prototype.resize=function(z){le.prototype.resize.call(this,z),ze.setAttributes(this.visual,[["width",this.width.toString()],["height",this.height.toString()]]),ze.setAttributes(this.drawingImage,[["width",this.width.toString()],["height",this.height.toString()]])},te.prototype.pointerUp=function(z){this._state==="creating"?this.drawing&&(this.canvasContext.closePath(),this.drawing=!1,this.globalSettings.newFreehandMarkerOnPointerUp&&this.finishCreation()):le.prototype.pointerUp.call(this,z)},te.prototype.addCanvas=function(){this.overlayContainer.innerHTML="",this.canvasElement=document.createElement("canvas"),this.canvasElement.width=this.overlayContainer.clientWidth*this.pixelRatio,this.canvasElement.height=this.overlayContainer.clientHeight*this.pixelRatio,this.canvasContext=this.canvasElement.getContext("2d"),this.canvasContext.scale(this.pixelRatio,this.pixelRatio),this.overlayContainer.appendChild(this.canvasElement)},te.prototype.select=function(){this.state==="creating"&&this.finishCreation(),le.prototype.select.call(this)},te.prototype.deselect=function(){this.state==="creating"&&this.finishCreation(),le.prototype.deselect.call(this)},te.prototype.finishCreation=function(){for(var z=this.canvasContext.getImageData(0,0,this.canvasElement.width,this.canvasElement.height),se=[this.canvasElement.width+1,this.canvasElement.height+1,-1,-1],de=se[0],ne=se[1],ge=se[2],rt=se[3],we=!1,Be=0;Be0&&(we=!0,Bert&&(rt=Be),Ee>ge&&(ge=Ee));if(we){this.left=de/this.pixelRatio,this.top=ne/this.pixelRatio,this.width=(ge-de)/this.pixelRatio,this.height=(rt-ne)/this.pixelRatio;var gt=document.createElement("canvas");gt.width=ge-de,gt.height=rt-ne,gt.getContext("2d").putImageData(this.canvasContext.getImageData(de,ne,ge-de,rt-ne),0,0),this.drawingImgUrl=gt.toDataURL("image/png"),this.setDrawingImage(),this._state="select",this.onMarkerCreated&&this.onMarkerCreated(this)}this.overlayContainer.innerHTML=""},te.prototype.setDrawingImage=function(){ze.setAttributes(this.drawingImage,[["width",this.width.toString()],["height",this.height.toString()]]),ze.setAttributes(this.drawingImage,[["href",this.drawingImgUrl]]),this.moveVisual({x:this.left,y:this.top})},te.prototype.setColor=function(z){this.color=z,this.colorChanged(z)},te.prototype.setLineWidth=function(z){this.lineWidth=z},Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return this.state==="new"||this.state==="creating"?[this.colorPanel,this.lineWidthPanel]:[]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=Object.assign({drawingImgUrl:this.drawingImgUrl},le.prototype.getState.call(this));return z.typeName=te.typeName,z},te.prototype.restoreState=function(z){this.createVisual(),le.prototype.restoreState.call(this,z),this.drawingImgUrl=z.drawingImgUrl,this.setDrawingImage()},te.prototype.scale=function(z,se){le.prototype.scale.call(this,z,se),this.setDrawingImage()},te.typeName="FreehandMarker",te.title="Freehand marker",te.icon='',te}(Pe),De=function(le){function te(z,se,de){var ne=le.call(this,z,de||'')||this;return ne.typeBoxes=[],ne.currentType=se,ne.setCurrentType=ne.setCurrentType.bind(ne),ne}return je(te,le),te.prototype.getUi=function(){var z=this,se=document.createElement("div");se.style.display="flex",se.style.overflow="hidden",se.style.flexGrow="2";for(var de=function(rt){var we="both";switch(rt){case 0:we="both";break;case 1:we="start";break;case 2:we="end";break;case 3:we="none"}var Be=document.createElement("div");if(Be.style.display="flex",Be.style.flexGrow="2",Be.style.alignItems="center",Be.style.justifyContent="space-between",Be.style.padding="5px",Be.style.borderWidth="2px",Be.style.borderStyle="solid",Be.style.borderColor=we===ne.currentType?ne.uiStyleSettings.toolboxAccentColor:"transparent",Be.addEventListener("click",function(){z.setCurrentType(we,Be)}),se.appendChild(Be),we==="both"||we==="start"){var Ee=document.createElement("div");Ee.style.display="flex",Ee.style.alignItems="center",Ee.style.minHeight="20px",Ee.innerHTML=` + + `,Ee.style.marginLeft="5px",Be.appendChild(Ee)}var gt=document.createElement("div");gt.style.display="flex",gt.style.alignItems="center",gt.style.minHeight="20px",gt.style.flexGrow="2";var mt=document.createElement("hr");if(mt.style.minWidth="20px",mt.style.border="0px",mt.style.borderTop="3px solid "+(ne.uiStyleSettings!==void 0?ne.uiStyleSettings.toolboxColor:"#eeeeee"),mt.style.flexGrow="2",gt.appendChild(mt),Be.appendChild(gt),we==="both"||we==="end"){var Nt=document.createElement("div");Nt.style.display="flex",Nt.style.alignItems="center",Nt.style.minHeight="20px",Nt.innerHTML=` + + `,Nt.style.marginRight="5px",Be.appendChild(Nt)}ne.typeBoxes.push(Be)},ne=this,ge=0;ge<4;ge++)de(ge);return se},te.prototype.setCurrentType=function(z,se){var de=this;this.currentType=z,this.typeBoxes.forEach(function(ne){ne.style.borderColor=ne===se?de.uiStyleSettings!==void 0?de.uiStyleSettings.toolboxAccentColor:"#3080c3":"transparent"}),this.onArrowTypeChanged&&this.onArrowTypeChanged(this.currentType)},te}(ut),ue=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.arrowType="end",ne.arrowBaseHeight=10,ne.arrowBaseWidth=10,ne.getArrowPoints=ne.getArrowPoints.bind(ne),ne.setArrowType=ne.setArrowType.bind(ne),ne.arrowTypePanel=new De("Arrow type","end"),ne.arrowTypePanel.onArrowTypeChanged=ne.setArrowType,ne}return je(te,le),te.prototype.ownsTarget=function(z){return!(!le.prototype.ownsTarget.call(this,z)&&z!==this.arrow1&&z!==this.arrow2)},te.prototype.getArrowPoints=function(z,se){var de=this.arrowBaseWidth+2*this.strokeWidth,ne=this.arrowBaseHeight+2*this.strokeWidth;return z-de/2+","+(se+ne/2)+" "+z+","+(se-ne/2)+" "+(z+de/2)+","+(se+ne/2)},te.prototype.createTips=function(){this.arrow1=ze.createPolygon(this.getArrowPoints(this.x1,this.y1),[["fill",this.strokeColor]]),this.arrow1.transform.baseVal.appendItem(ze.createTransform()),this.visual.appendChild(this.arrow1),this.arrow2=ze.createPolygon(this.getArrowPoints(this.x2,this.y2),[["fill",this.strokeColor]]),this.arrow2.transform.baseVal.appendItem(ze.createTransform()),this.visual.appendChild(this.arrow2)},te.prototype.pointerDown=function(z,se){le.prototype.pointerDown.call(this,z,se),this.state==="creating"&&this.createTips()},te.prototype.adjustVisual=function(){if(le.prototype.adjustVisual.call(this),this.arrow1&&this.arrow2){this.arrow1.style.display=this.arrowType==="both"||this.arrowType==="start"?"":"none",this.arrow2.style.display=this.arrowType==="both"||this.arrowType==="end"?"":"none",ze.setAttributes(this.arrow1,[["points",this.getArrowPoints(this.x1,this.y1)],["fill",this.strokeColor]]),ze.setAttributes(this.arrow2,[["points",this.getArrowPoints(this.x2,this.y2)],["fill",this.strokeColor]]);var z=0;Math.abs(this.x1-this.x2)>.1&&(z=180*Math.atan((this.y2-this.y1)/(this.x2-this.x1))/Math.PI+90*Math.sign(this.x1-this.x2));var se=this.arrow1.transform.baseVal.getItem(0);se.setRotate(z,this.x1,this.y1),this.arrow1.transform.baseVal.replaceItem(se,0);var de=this.arrow2.transform.baseVal.getItem(0);de.setRotate(z+180,this.x2,this.y2),this.arrow2.transform.baseVal.replaceItem(de,0)}},te.prototype.setArrowType=function(z){this.arrowType=z,this.adjustVisual(),this.stateChanged()},Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel,this.arrowTypePanel]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=Object.assign({arrowType:this.arrowType},le.prototype.getState.call(this));return z.typeName=te.typeName,z},te.prototype.restoreState=function(z){le.prototype.restoreState.call(this,z);var se=z;this.arrowType=se.arrowType,this.createTips(),this.adjustVisual()},te.typeName="ArrowMarker",te.title="Arrow marker",te.icon='',te}(Kt),Ue=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.fillColor=de.defaultFillColor,ne.strokeWidth=0,ne.fillPanel=new Re("Color",de.defaultColorSet,de.defaultFillColor),ne.fillPanel.onColorChanged=ne.setFillColor,ne}return je(te,le),Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return[this.fillPanel]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=le.prototype.getState.call(this);return z.typeName=te.typeName,z},te.typeName="CoverMarker",te.title="Cover marker",te.icon='',te}(Ne),Pt=function(le){function te(z,se,de,ne){var ge=le.call(this,z,ne||'')||this;return ge.opacities=[],ge.opacityBoxes=[],ge.opacities=se,ge.currentOpacity=de,ge.setCurrentOpacity=ge.setCurrentOpacity.bind(ge),ge}return je(te,le),te.prototype.getUi=function(){var z=this,se=document.createElement("div");return se.style.display="flex",se.style.overflow="hidden",se.style.flexGrow="2",se.style.justifyContent="space-between",this.opacities.forEach(function(de){var ne=document.createElement("div");ne.style.display="flex",ne.style.alignItems="center",ne.style.justifyContent="center",ne.style.padding="5px",ne.style.borderWidth="2px",ne.style.borderStyle="solid",ne.style.borderColor=de===z.currentOpacity?z.uiStyleSettings.toolboxAccentColor:"transparent",ne.addEventListener("click",function(){z.setCurrentOpacity(de,ne)}),se.appendChild(ne);var ge=document.createElement("div");ge.innerText=100*de+"%",ne.appendChild(ge),z.opacityBoxes.push(ne)}),se},te.prototype.setCurrentOpacity=function(z,se){var de=this;this.currentOpacity=z,this.opacityBoxes.forEach(function(ne){ne.style.borderColor=ne===se?de.uiStyleSettings.toolboxAccentColor:"transparent"}),this.onOpacityChanged&&this.onOpacityChanged(this.currentOpacity)},te}(ut),vt=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.setOpacity=ne.setOpacity.bind(ne),ne.fillColor=de.defaultHighlightColor,ne.strokeWidth=0,ne.opacity=de.defaultHighlightOpacity,ne.fillPanel=new Re("Color",de.defaultColorSet,ne.fillColor),ne.fillPanel.onColorChanged=ne.setFillColor,ne.opacityPanel=new Pt("Opacity",de.defaultOpacitySteps,ne.opacity),ne.opacityPanel.onOpacityChanged=ne.setOpacity,ne}return je(te,le),te.prototype.setOpacity=function(z){this.opacity=z,this.visual&&ze.setAttributes(this.visual,[["opacity",this.opacity.toString()]]),this.stateChanged()},Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return[this.fillPanel,this.opacityPanel]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=le.prototype.getState.call(this);return z.typeName=te.typeName,z},te.typeName="HighlightMarker",te.title="Highlight marker",te.icon='',te}(Ue),He='',yt='',ct=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.bgColor="transparent",ne.tipPosition={x:0,y:0},ne.tipBase1Position={x:0,y:0},ne.tipBase2Position={x:0,y:0},ne.tipMoving=!1,ne.color=de.defaultStrokeColor,ne.bgColor=de.defaultFillColor,ne.fontFamily=de.defaultFontFamily,ne.defaultSize={x:100,y:30},ne.setBgColor=ne.setBgColor.bind(ne),ne.getTipPoints=ne.getTipPoints.bind(ne),ne.positionTip=ne.positionTip.bind(ne),ne.setTipPoints=ne.setTipPoints.bind(ne),ne.colorPanel=new Re("Text color",de.defaultColorSet,ne.color,He),ne.colorPanel.onColorChanged=ne.setColor,ne.bgColorPanel=new Re("Fill color",de.defaultColorSet,ne.bgColor,yt),ne.bgColorPanel.onColorChanged=ne.setBgColor,ne.fontFamilyPanel=new Rt("Font",de.defaultFontFamilies,de.defaultFontFamily),ne.fontFamilyPanel.onFontChanged=ne.setFont,ne.tipGrip=new st,ne.tipGrip.visual.transform.baseVal.appendItem(ze.createTransform()),ne.controlBox.appendChild(ne.tipGrip.visual),ne}return je(te,le),te.prototype.ownsTarget=function(z){return le.prototype.ownsTarget.call(this,z)||this.tipGrip.ownsTarget(z)||this.tip===z},te.prototype.createTip=function(){ze.setAttributes(this.bgRectangle,[["fill",this.bgColor],["rx","10px"]]),this.tip=ze.createPolygon(this.getTipPoints(),[["fill",this.bgColor]]),this.visual.appendChild(this.tip)},te.prototype.pointerDown=function(z,se){this.state==="new"&&le.prototype.pointerDown.call(this,z,se),this.state==="creating"?this.createTip():this.tipGrip.ownsTarget(se)?(this.manipulationStartLeft=this.left,this.manipulationStartTop=this.top,this.tipMoving=!0):le.prototype.pointerDown.call(this,z,se)},te.prototype.pointerUp=function(z){if(this.tipMoving)this.tipMoving=!1,this.isMoved=!0,le.prototype.pointerUp.call(this,z);else{var se=this.state==="creating";le.prototype.pointerUp.call(this,z),this.setTipPoints(se),this.positionTip()}},te.prototype.manipulate=function(z){if(this.tipMoving){var se=this.unrotatePoint(z);this.tipPosition={x:se.x-this.manipulationStartLeft,y:se.y-this.manipulationStartTop},this.positionTip()}else le.prototype.manipulate.call(this,z)},te.prototype.setBgColor=function(z){this.bgRectangle&&this.tip&&(ze.setAttributes(this.bgRectangle,[["fill",z]]),ze.setAttributes(this.tip,[["fill",z]])),this.bgColor=z,this.fillColorChanged(z)},te.prototype.getTipPoints=function(){return this.setTipPoints(this.state==="creating"),this.tipBase1Position.x+","+this.tipBase1Position.y+" "+this.tipBase2Position.x+","+this.tipBase2Position.y+" "+this.tipPosition.x+","+this.tipPosition.y},te.prototype.setTipPoints=function(z){z===void 0&&(z=!1);var se=Math.min(this.height/2,15),de=this.height/5;z&&(this.tipPosition={x:se+de/2,y:this.height+20});var ne=Math.atan(this.height/2/(this.width/2));this.tipPosition.x=this.width/2&&this.tipPosition.y=this.width/2&&this.tipPosition.y>=this.height/2?ne.1)){var z=180*Math.atan((this.y2-this.y1)/(this.x2-this.x1))/Math.PI+90*Math.sign(this.x1-this.x2),se=this.tip1.transform.baseVal.getItem(0);se.setRotate(z,this.x1,this.y1),this.tip1.transform.baseVal.replaceItem(se,0);var de=this.tip2.transform.baseVal.getItem(0);de.setRotate(z+180,this.x2,this.y2),this.tip2.transform.baseVal.replaceItem(de,0)}},Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=le.prototype.getState.call(this);return z.typeName=te.typeName,z},te.prototype.restoreState=function(z){le.prototype.restoreState.call(this,z),this.createTips(),this.adjustVisual()},te.typeName="MeasurementMarker",te.title="Measurement marker",te.icon='',te}(Kt),_e=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.strokePanel.colors=de.defaultColorSet,ne.fillColor="transparent",ne}return je(te,le),Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=le.prototype.getState.call(this);return z.typeName=te.typeName,z},te.typeName="EllipseFrameMarker",te.title="Ellipse frame marker",te.icon='',te}(jt),We=function(){function le(){this.undoStack=[],this.redoStack=[]}return Object.defineProperty(le.prototype,"isUndoPossible",{get:function(){return this.undoStack.length>0},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"isRedoPossible",{get:function(){return this.redoStack.length>0},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"undoStepCount",{get:function(){return this.undoStack.length},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"redoStepCount",{get:function(){return this.redoStack.length},enumerable:!1,configurable:!0}),le.prototype.addUndoStep=function(te){this.undoStack.length!==0&&JSON.stringify(this.undoStack[this.undoStack.length-1])===JSON.stringify(te)||(this.undoStack.push(te),JSON.stringify(this.lastRedoStep)!==JSON.stringify(te)&&this.redoStack.splice(0,this.redoStack.length))},le.prototype.replaceLastUndoStep=function(te){this.undoStack.length>0&&(this.undoStack[this.undoStack.length-1]=te)},le.prototype.getLastUndoStep=function(){return this.undoStack.length>0?this.undoStack[this.undoStack.length-1]:void 0},le.prototype.undo=function(){if(this.undoStack.length>1){var te=this.undoStack.pop();return te!==void 0&&this.redoStack.push(te),this.undoStack.length>0?this.undoStack[this.undoStack.length-1]:void 0}},le.prototype.redo=function(){return this.lastRedoStep=this.redoStack.pop(),this.lastRedoStep},le}(),Oe=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.strokeColor="transparent",ne.strokeWidth=0,ne.strokeDasharray="",ne.curveX=0,ne.curveY=0,ne.manipulationStartCurveX=0,ne.manipulationStartCurveY=0,ne.setStrokeColor=ne.setStrokeColor.bind(ne),ne.setStrokeWidth=ne.setStrokeWidth.bind(ne),ne.setStrokeDasharray=ne.setStrokeDasharray.bind(ne),ne.positionGrips=ne.positionGrips.bind(ne),ne.addControlGrips=ne.addControlGrips.bind(ne),ne.adjustVisual=ne.adjustVisual.bind(ne),ne.setupControlBox=ne.setupControlBox.bind(ne),ne.resize=ne.resize.bind(ne),ne.strokeColor=de.defaultColor,ne.strokeWidth=de.defaultStrokeWidth,ne.strokeDasharray=de.defaultStrokeDasharray,ne.strokePanel=new Re("Line color",de.defaultColorSet,de.defaultColor),ne.strokePanel.onColorChanged=ne.setStrokeColor,ne.strokeWidthPanel=new Xe("Line width",de.defaultStrokeWidths,de.defaultStrokeWidth),ne.strokeWidthPanel.onWidthChanged=ne.setStrokeWidth,ne.strokeStylePanel=new Ae("Line style",de.defaultStrokeDasharrays,de.defaultStrokeDasharray),ne.strokeStylePanel.onStyleChanged=ne.setStrokeDasharray,ne}return je(te,le),te.prototype.ownsTarget=function(z){return!(!le.prototype.ownsTarget.call(this,z)&&z!==this.visual&&z!==this.selectorCurve&&z!==this.visibleCurve&&!this.curveGrip.ownsTarget(z))},te.prototype.getPathD=function(){return"M "+this.x1+" "+this.y1+" Q "+this.curveX+" "+this.curveY+", "+this.x2+" "+this.y2},te.prototype.createVisual=function(){this.visual=ze.createGroup(),this.selectorCurve=ze.createPath(this.getPathD(),[["stroke","transparent"],["stroke-width",(this.strokeWidth+10).toString()],["fill","transparent"]]),this.visibleCurve=ze.createPath(this.getPathD(),[["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()],["fill","transparent"]]),this.visual.appendChild(this.selectorCurve),this.visual.appendChild(this.visibleCurve),this.addMarkerVisualToContainer(this.visual)},te.prototype.pointerDown=function(z,se){le.prototype.pointerDown.call(this,z,se),this.manipulationStartCurveX=this.curveX,this.manipulationStartCurveY=this.curveY,this.state==="new"&&(this.curveX=z.x,this.curveY=z.y),this.state==="new"?(this.createVisual(),this.adjustVisual(),this._state="creating"):this.curveGrip.ownsTarget(se)&&(this.activeGrip=this.curveGrip,this._state="resize")},te.prototype.adjustVisual=function(){this.selectorCurve&&this.visibleCurve&&(this.selectorCurve.setAttribute("d",this.getPathD()),this.visibleCurve.setAttribute("d",this.getPathD()),ze.setAttributes(this.visibleCurve,[["stroke",this.strokeColor]]),ze.setAttributes(this.visibleCurve,[["stroke-width",this.strokeWidth.toString()]]),ze.setAttributes(this.visibleCurve,[["stroke-dasharray",this.strokeDasharray.toString()]]))},te.prototype.setupControlBox=function(){le.prototype.setupControlBox.call(this),this.curveControlLine1=ze.createLine(this.x1,this.y1,this.curveX,this.curveY,[["stroke","black"],["stroke-width","1"],["stroke-opacity","0.5"],["stroke-dasharray","3, 2"]]),this.curveControlLine2=ze.createLine(this.x2,this.y2,this.curveX,this.curveY,[["stroke","black"],["stroke-width","1"],["stroke-opacity","0.5"],["stroke-dasharray","3, 2"]]),this.controlBox.insertBefore(this.curveControlLine1,this.controlBox.firstChild),this.controlBox.insertBefore(this.curveControlLine2,this.controlBox.firstChild)},te.prototype.addControlGrips=function(){this.curveGrip=this.createGrip(),this.curveX=0,this.curveY=0,le.prototype.addControlGrips.call(this)},te.prototype.positionGrips=function(){le.prototype.positionGrips.call(this);var z=this.curveGrip.GRIP_SIZE;this.positionGrip(this.curveGrip.visual,this.curveX-z/2,this.curveY-z/2),this.curveControlLine1&&this.curveControlLine2&&(this.curveControlLine1.setAttribute("x1",this.x1.toString()),this.curveControlLine1.setAttribute("y1",this.y1.toString()),this.curveControlLine1.setAttribute("x2",this.curveX.toString()),this.curveControlLine1.setAttribute("y2",this.curveY.toString()),this.curveControlLine2.setAttribute("x1",this.x2.toString()),this.curveControlLine2.setAttribute("y1",this.y2.toString()),this.curveControlLine2.setAttribute("x2",this.curveX.toString()),this.curveControlLine2.setAttribute("y2",this.curveY.toString()))},te.prototype.manipulate=function(z){this.state==="move"&&(this.curveX=this.manipulationStartCurveX+z.x-this.manipulationStartX,this.curveY=this.manipulationStartCurveY+z.y-this.manipulationStartY),le.prototype.manipulate.call(this,z)},te.prototype.resize=function(z){this.activeGrip===this.curveGrip&&(this.curveX=z.x,this.curveY=z.y),le.prototype.resize.call(this,z),this.state==="creating"&&(this.curveX=this.x1+(this.x2-this.x1)/2,this.curveY=this.y1+(this.y2-this.y1)/2)},te.prototype.setStrokeColor=function(z){this.strokeColor=z,this.adjustVisual(),this.colorChanged(z)},te.prototype.setStrokeWidth=function(z){this.strokeWidth=z,this.adjustVisual()},te.prototype.setStrokeDasharray=function(z){this.strokeDasharray=z,this.adjustVisual()},te.prototype.scale=function(z,se){this.curveX=this.curveX*z,this.curveY=this.curveY*se,le.prototype.scale.call(this,z,se)},Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.strokeWidthPanel,this.strokeStylePanel]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=Object.assign({strokeColor:this.strokeColor,strokeWidth:this.strokeWidth,strokeDasharray:this.strokeDasharray,curveX:this.curveX,curveY:this.curveY},le.prototype.getState.call(this));return z.typeName=te.typeName,z},te.prototype.restoreState=function(z){le.prototype.restoreState.call(this,z);var se=z;this.strokeColor=se.strokeColor,this.strokeWidth=se.strokeWidth,this.strokeDasharray=se.strokeDasharray,this.curveX=se.curveX,this.curveY=se.curveY,this.createVisual(),this.adjustVisual()},te.typeName="CurveMarker",te.title="Curve marker",te.icon='',te}(lt),Ct=function(le){function te(z,se,de){var ne=le.call(this,z,se,de)||this;return ne.fillColor="transparent",ne.strokeColor="transparent",ne.strokeWidth=0,ne.strokeDasharray="",ne.textColor="transparent",ne.fontSize="1rem",ne.isMoved=!1,ne.captionText="Caption",ne.PADDING=5,ne.captionBoxWidth=0,ne.captionBoxHeight=0,ne.strokeColor=de.defaultColor,ne.strokeWidth=de.defaultStrokeWidth,ne.strokeDasharray=de.defaultStrokeDasharray,ne.fillColor=de.defaultFillColor,ne.textColor=de.defaultStrokeColor,ne.fontFamily=de.defaultFontFamily,ne.fontSize=de.defaultCaptionFontSize,ne.captionText=de.defaultCaptionText,ne.setStrokeColor=ne.setStrokeColor.bind(ne),ne.setFillColor=ne.setFillColor.bind(ne),ne.setStrokeWidth=ne.setStrokeWidth.bind(ne),ne.setStrokeDasharray=ne.setStrokeDasharray.bind(ne),ne.createVisual=ne.createVisual.bind(ne),ne.sizeCaption=ne.sizeCaption.bind(ne),ne.setCaptionText=ne.setCaptionText.bind(ne),ne.showTextEditor=ne.showTextEditor.bind(ne),ne.positionTextEditor=ne.positionTextEditor.bind(ne),ne.finishTextEditing=ne.finishTextEditing.bind(ne),ne.setFont=ne.setFont.bind(ne),ne.setTextColor=ne.setTextColor.bind(ne),ne.strokePanel=new Re("Line color",ie(de.defaultColorSet,["transparent"]),ne.strokeColor),ne.strokePanel.onColorChanged=ne.setStrokeColor,ne.fillPanel=new Re("Fill color",ie(de.defaultColorSet,["transparent"]),ne.fillColor,yt),ne.fillPanel.onColorChanged=ne.setFillColor,ne.strokeWidthPanel=new Xe("Line width",de.defaultStrokeWidths,de.defaultStrokeWidth),ne.strokeWidthPanel.onWidthChanged=ne.setStrokeWidth,ne.strokeStylePanel=new Ae("Line style",de.defaultStrokeDasharrays,de.defaultStrokeDasharray),ne.strokeStylePanel.onStyleChanged=ne.setStrokeDasharray,ne.fontFamilyPanel=new Rt("Font",de.defaultFontFamilies,de.defaultFontFamily),ne.fontFamilyPanel.onFontChanged=ne.setFont,ne.textColorPanel=new Re("Text color",de.defaultColorSet,ne.textColor,He),ne.textColorPanel.onColorChanged=ne.setTextColor,ne}return je(te,le),te.prototype.ownsTarget=function(z){return!(!le.prototype.ownsTarget.call(this,z)&&z!==this.visual&&z!==this.frame&&z!==this.captionBg&&z!==this.captionElement)},te.prototype.createVisual=function(){this.visual=ze.createGroup(),this.addMarkerVisualToContainer(this.visual),this.captionBg=ze.createRect(1,1,[["fill",this.fillColor]]),this.visual.appendChild(this.captionBg),this.captionElement=ze.createText([["fill",this.textColor],["font-family",this.fontFamily]]),this.captionElement.style.fontSize=this.fontSize,this.captionElement.style.textAnchor="start",this.captionElement.style.dominantBaseline="text-before-edge",this.captionElement.textContent=this.captionText,this.visual.appendChild(this.captionElement),this.frame=ze.createRect(this.width,this.height,[["fill","transparent"],["stroke",this.strokeColor],["stroke-width",this.strokeWidth.toString()],["stroke-dasharray",this.strokeDasharray]]),this.visual.appendChild(this.frame),this.sizeCaption()},te.prototype.setCaptionText=function(z){this.captionText=z,this.captionElement.textContent=this.captionText,this.sizeCaption()},te.prototype.pointerDown=function(z,se){le.prototype.pointerDown.call(this,z,se),this.isMoved=!1,this.pointerDownPoint=z,this.pointerDownTimestamp=Date.now(),this.state==="new"&&(this.createVisual(),this.moveVisual(z),this._state="creating")},te.prototype.manipulate=function(z){le.prototype.manipulate.call(this,z),this.pointerDownPoint!==void 0&&(this.isMoved=Math.abs(z.x-this.pointerDownPoint.x)>5||Math.abs(z.y-this.pointerDownPoint.y)>5)},te.prototype.resize=function(z){le.prototype.resize.call(this,z),this.setSize()},te.prototype.sizeCaption=function(){var z=this.captionElement.getBBox();this.captionText.trim()!==""?(this.captionBoxWidth=z.width+2*this.PADDING,this.captionBoxHeight=z.height+2*this.PADDING):(this.captionBoxWidth=0,this.captionBoxHeight=0),ze.setAttributes(this.captionBg,[["width",this.captionBoxWidth.toString()],["height",this.captionBoxHeight.toString()],["clip-path","path('M0,0 H"+this.width+" V"+this.height+" H"+-this.width+" Z')"]]),ze.setAttributes(this.captionElement,[["x",this.PADDING.toString()],["y",this.PADDING.toString()],["clip-path","path('M0,0 H"+(this.width-this.PADDING)+" V"+this.height+" H"+(-this.width-this.PADDING)+" Z')"]])},te.prototype.showTextEditor=function(){var z=this;this._state="edit",this.overlayContainer.innerHTML="",this.textEditDiv=document.createElement("div"),this.textEditDiv.style.flexGrow="2",this.textEditDiv.style.alignItems="center",this.textEditDiv.style.justifyContent="center",this.textEditDiv.style.pointerEvents="auto",this.textEditDiv.style.overflow="hidden",this.textEditBox=document.createElement("input"),this.textEditBox.style.position="absolute",this.textEditBox.style.width=this.width+"px",this.captionBoxHeight>0&&(this.textEditBox.style.height=this.captionBoxHeight+"px"),this.textEditBox.style.fontSize=this.fontSize,this.textEditBox.style.fontFamily=this.fontFamily,this.textEditBox.style.backgroundColor=this.fillColor,this.textEditBox.style.color=this.textColor,this.textEditBox.style.borderWidth="0",this.textEditBox.setAttribute("value",this.captionText),this.textEditBox.select(),this.textEditDiv.appendChild(this.textEditBox),this.overlayContainer.appendChild(this.textEditDiv),this.textEditBox.addEventListener("pointerup",function(se){se.stopPropagation()}),this.textEditBox.addEventListener("keypress",function(se){se.key==="Enter"&&z.finishTextEditing(z.textEditBox.value)}),this.textEditBox.addEventListener("keyup",function(se){se.cancelBubble=!0}),this.textEditBox.addEventListener("blur",function(){z.finishTextEditing(z.textEditBox.value)}),this.textEditDiv.addEventListener("pointerup",function(){z.finishTextEditing(z.textEditBox.value)}),this.positionTextEditor(),this.textEditBox.focus()},te.prototype.positionTextEditor=function(){this.state==="edit"&&(this.textEditBox===void 0?this.showTextEditor():(this.textEditBox.style.left=this.left+"px",this.textEditBox.style.top=this.top+"px",this.textEditBox.style.transform="rotate("+this.rotationAngle+"deg)",this.textEditBox.style.transformOrigin=this.width/2+"px "+this.height/2+"px"))},te.prototype.finishTextEditing=function(z){this.setCaptionText(z.trim()),this.overlayContainer.innerHTML="",this.stateChanged()},te.prototype.setFont=function(z){this.captionElement&&ze.setAttributes(this.captionElement,[["font-family",z]]),this.fontFamily=z,this.textEditBox&&(this.textEditBox.style.fontFamily=this.fontFamily),this.sizeCaption(),this.stateChanged()},te.prototype.setTextColor=function(z){this.captionElement&&ze.setAttributes(this.captionElement,[["fill",z]]),this.textColor=z,this.textEditBox&&(this.textEditBox.style.color=this.textColor),this.stateChanged()},te.prototype.setSize=function(){le.prototype.setSize.call(this),ze.setAttributes(this.frame,[["width",this.width.toString()],["height",this.height.toString()]]),this.sizeCaption()},te.prototype.pointerUp=function(z){le.prototype.pointerUp.call(this,z),this.setSize(),!this.isMoved&&Date.now()-this.pointerDownTimestamp>500&&this.showTextEditor(),this.pointerDownPoint=void 0},te.prototype.dblClick=function(z,se){le.prototype.dblClick.call(this,z,se),this.showTextEditor()},te.prototype.setStrokeColor=function(z){this.strokeColor=z,this.frame&&ze.setAttributes(this.frame,[["stroke",this.strokeColor]]),this.colorChanged(z),this.stateChanged()},te.prototype.setFillColor=function(z){this.fillColor=z,this.captionBg&&ze.setAttributes(this.captionBg,[["fill",this.fillColor]]),this.fillColorChanged(z),this.stateChanged()},te.prototype.setStrokeWidth=function(z){this.strokeWidth=z,this.frame&&ze.setAttributes(this.frame,[["stroke-width",this.strokeWidth.toString()]]),this.stateChanged()},te.prototype.setStrokeDasharray=function(z){this.strokeDasharray=z,this.frame&&ze.setAttributes(this.frame,[["stroke-dasharray",this.strokeDasharray]]),this.stateChanged()},Object.defineProperty(te.prototype,"toolboxPanels",{get:function(){return[this.strokePanel,this.fillPanel,this.strokeWidthPanel,this.strokeStylePanel,this.fontFamilyPanel,this.textColorPanel]},enumerable:!1,configurable:!0}),te.prototype.getState=function(){var z=Object.assign({fillColor:this.fillColor,strokeColor:this.strokeColor,strokeWidth:this.strokeWidth,strokeDasharray:this.strokeDasharray,opacity:1,textColor:this.textColor,fontFamily:this.fontFamily,fontSize:this.fontSize,captionText:this.captionText},le.prototype.getState.call(this));return z.typeName=this.typeName,z},te.prototype.restoreState=function(z){var se=z;this.fillColor=se.fillColor,this.strokeColor=se.strokeColor,this.strokeWidth=se.strokeWidth,this.strokeDasharray=se.strokeDasharray,this.textColor=se.textColor,this.fontFamily=se.fontFamily,this.captionText=se.captionText,this.fontSize=se.fontSize,this.createVisual(),le.prototype.restoreState.call(this,z),this.setSize()},te.prototype.scale=function(z,se){le.prototype.scale.call(this,z,se),this.setSize()},te.typeName="CaptionFrameMarker",te.title="Caption frame marker",te.icon='',te}(Pe),pe=function(){function le(te,z){z===void 0&&(z=!1),this.cancelable=!1,this._defaultPrevented=!1,this.markerArea=te,this.cancelable=z}return Object.defineProperty(le.prototype,"defaultPrevented",{get:function(){return this._defaultPrevented},enumerable:!1,configurable:!0}),le.prototype.preventDefault=function(){this._defaultPrevented=!0},le}(),Ye=function(le){function te(z,se,de){var ne=le.call(this,z,!1)||this;return ne.dataUrl=se,ne.state=de,ne}return je(te,le),te}(pe),Ie=function(le){function te(z,se,de){de===void 0&&(de=!1);var ne=le.call(this,z,de)||this;return ne.marker=se,ne}return je(te,le),te}(pe),ke=function(){function le(){this.render=[],this.beforeclose=[],this.close=[],this.show=[],this.restorestate=[],this.statechange=[],this.markerselect=[],this.markerdeselect=[],this.markercreating=[],this.markercreate=[],this.markerbeforedelete=[],this.markerdelete=[],this.markerchange=[],this.focus=[],this.blur=[]}return le.prototype.addEventListener=function(te,z){this[te].push(z)},le.prototype.removeEventListener=function(te,z){var se=this[te].indexOf(z);se>-1&&this[te].splice(se,1)},le}(),it=function(){function le(te){this.touchPoints=0,this._availableMarkerTypes=this.DEFAULT_MARKER_TYPES,this.mode="select",this.markers=[],this.isDragging=!1,this.renderEventListeners=[],this.closeEventListeners=[],this.settings=new Je,this._isOpen=!1,this.undoRedoManager=new We,this.renderAtNaturalSize=!1,this.renderImageType="image/png",this.renderMarkersOnly=!1,this.zoomSteps=[1,1.5,2,4],this._zoomLevel=1,this._isResizing=!1,this.prevPanPoint={x:0,y:0},this.eventListeners=new ke,this._silentRenderMode=!1,this._isFocused=!1,this._instanceNo=le.instanceCounter++,this.styles=new qe(this.instanceNo),this.uiStyleSettings=this.styles.settings,this.target=te,this.targetRoot=document.body,this.width=te.clientWidth,this.height=te.clientHeight,this.styles.removeStyleSheet(),this.open=this.open.bind(this),this.setTopLeft=this.setTopLeft.bind(this),this.toolbarButtonClicked=this.toolbarButtonClicked.bind(this),this.createNewMarker=this.createNewMarker.bind(this),this.addNewMarker=this.addNewMarker.bind(this),this.markerCreated=this.markerCreated.bind(this),this.setCurrentMarker=this.setCurrentMarker.bind(this),this.onPointerDown=this.onPointerDown.bind(this),this.onDblClick=this.onDblClick.bind(this),this.onPointerMove=this.onPointerMove.bind(this),this.onPointerUp=this.onPointerUp.bind(this),this.onPointerOut=this.onPointerOut.bind(this),this.onKeyUp=this.onKeyUp.bind(this),this.overrideOverflow=this.overrideOverflow.bind(this),this.restoreOverflow=this.restoreOverflow.bind(this),this.close=this.close.bind(this),this.closeUI=this.closeUI.bind(this),this.addCloseEventListener=this.addCloseEventListener.bind(this),this.removeCloseEventListener=this.removeCloseEventListener.bind(this),this.addRenderEventListener=this.addRenderEventListener.bind(this),this.removeRenderEventListener=this.removeRenderEventListener.bind(this),this.clientToLocalCoordinates=this.clientToLocalCoordinates.bind(this),this.onWindowResize=this.onWindowResize.bind(this),this.deleteSelectedMarker=this.deleteSelectedMarker.bind(this),this.setWindowHeight=this.setWindowHeight.bind(this),this.removeMarker=this.removeMarker.bind(this),this.colorChanged=this.colorChanged.bind(this),this.fillColorChanged=this.fillColorChanged.bind(this),this.onPopupTargetResize=this.onPopupTargetResize.bind(this),this.showNotesEditor=this.showNotesEditor.bind(this),this.hideNotesEditor=this.hideNotesEditor.bind(this),this.stepZoom=this.stepZoom.bind(this),this.focus=this.focus.bind(this),this.blur=this.blur.bind(this),this.markerStateChanged=this.markerStateChanged.bind(this),this.switchToSelectMode=this.switchToSelectMode.bind(this),this.addDefs=this.addDefs.bind(this),this.addDefsToImage=this.addDefsToImage.bind(this)}return Object.defineProperty(le.prototype,"ALL_MARKER_TYPES",{get:function(){return[Ke,Ft,ue,At,_e,jt,vt,ct,nt,Ue,Kt,Oe,Ct]},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"DEFAULT_MARKER_TYPES",{get:function(){return[Ke,Ft,ue,At,jt,vt,ct]},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"BASIC_MARKER_TYPES",{get:function(){return[Ke,Ft,ue,At,vt]},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"availableMarkerTypes",{get:function(){return this._availableMarkerTypes},set:function(te){var z=this;this._availableMarkerTypes.splice(0),te.forEach(function(se){if(typeof se=="string"){var de=z.ALL_MARKER_TYPES.find(function(ne){return ne.typeName===se});de!==void 0&&z._availableMarkerTypes.push(de)}else z._availableMarkerTypes.push(se)})},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"currentMarker",{get:function(){return this._currentMarker},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"isOpen",{get:function(){return this._isOpen},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"isUndoPossible",{get:function(){return!(!this.undoRedoManager||!this.undoRedoManager.isUndoPossible)},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"isRedoPossible",{get:function(){return!(!this.undoRedoManager||!this.undoRedoManager.isRedoPossible)},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"zoomLevel",{get:function(){return this._zoomLevel},set:function(te){this._zoomLevel=te,this.editorCanvas&&this.contentDiv&&(this.editorCanvas.style.transform="scale("+this._zoomLevel+")",this.contentDiv.scrollTo({left:(this.editorCanvas.clientWidth*this._zoomLevel-this.contentDiv.clientWidth)/2,top:(this.editorCanvas.clientHeight*this._zoomLevel-this.contentDiv.clientHeight)/2}))},enumerable:!1,configurable:!0}),Object.defineProperty(le.prototype,"instanceNo",{get:function(){return this._instanceNo},enumerable:!1,configurable:!0}),le.prototype.open=function(){this.setupResizeObserver(),this.setEditingTarget(),this.setTopLeft(),this.initMarkerCanvas(),this.initOverlay(),this.attachEvents(),this.settings.displayMode==="popup"&&this.onPopupTargetResize(),fe.isLicensed||this.addLogo(),this._isOpen=!0,this._isFocused=!0},le.prototype.show=function(){var te=this;this.styles.styleSheetRoot===void 0&&at.styleSheetRoot!==void 0&&(this.styles.styleSheetRoot=at.styleSheetRoot),this.setWindowHeight(),this.showUI(),this.open(),this.eventListeners.show.forEach(function(z){return z(new pe(te))})},le.prototype.render=function(){return ft(this,void 0,void 0,function(){var te;return Ve(this,function(z){switch(z.label){case 0:return this.setCurrentMarker(),(te=new Lt).naturalSize=this.renderAtNaturalSize,te.imageType=this.renderImageType,te.imageQuality=this.renderImageQuality,te.markersOnly=this.renderMarkersOnly,te.width=this.renderWidth,te.height=this.renderHeight,[4,te.rasterize(this.target instanceof HTMLImageElement?this.target:null,this.markerImage,this.renderTarget)];case 1:return z.sent(),[4,te.rasterize(this.target instanceof HTMLImageElement?this.target:null,this.markerImage,this.renderTarget)];case 2:return[2,z.sent()]}})})},le.prototype.close=function(te){var z=this;if(te===void 0&&(te=!1),this.isOpen){var se=!1;te||this.eventListeners.beforeclose.forEach(function(de){var ne=new pe(z,!0);de(ne),ne.defaultPrevented&&(se=!0)}),se||(this.coverDiv&&this.closeUI(),this.targetObserver&&(this.targetObserver.unobserve(this.target),this.targetObserver.unobserve(this.editorCanvas)),this.settings.displayMode==="popup"&&window.removeEventListener("resize",this.setWindowHeight),this.eventListeners.close.forEach(function(de){return de(new pe(z))}),this.detachEvents(),this._isOpen=!1)}},le.prototype.addMarkersToToolbar=function(){for(var te,z=[],se=0;sethis.editorCanvas.clientHeight?this.editorCanvas.clientHeight*te:this.editorCanvas.clientWidth,se=z',te.title="Powered by marker.js",te.style.display="grid",te.style.alignItems="center",te.style.justifyItems="center",te.style.padding="3px",te.style.width="20px",te.style.height="20px",this.logoUI.appendChild(te),this.editorCanvas.appendChild(this.logoUI),this.logoUI.style.position="absolute",this.logoUI.style.pointerEvents="all",this.positionLogo()},le.prototype.positionLogo=function(){this.logoUI&&(this.uiStyleSettings.logoPosition!=="right"?this.logoUI.style.left=this.markerImageHolder.offsetLeft+10+"px":this.logoUI.style.left=this.markerImageHolder.offsetLeft+this.markerImageHolder.offsetWidth-this.logoUI.clientWidth-10+"px",this.logoUI.style.top=this.markerImageHolder.offsetTop+this.markerImageHolder.offsetHeight-this.logoUI.clientHeight-10+"px")},le.prototype.overrideOverflow=function(){this.scrollXState=window.scrollX,this.scrollYState=window.scrollY,this.bodyOverflowState=document.body.style.overflow,window.scroll({top:0,left:0}),document.body.style.overflow="hidden"},le.prototype.restoreOverflow=function(){document.body.style.overflow=this.bodyOverflowState,window.scroll({top:this.scrollYState,left:this.scrollXState})},le.prototype.showUI=function(){switch(this.settings.displayMode==="popup"&&this.overrideOverflow(),this.coverDiv=document.createElement("div"),this.coverDiv.style.visibility=this._silentRenderMode?"hidden":"visible",this.coverDiv.className=this.styles.classNamePrefixBase+" "+this.styles.classNamePrefix,this.coverDiv.style.fontSize="16px",this.coverDiv.style.userSelect="none",this.settings.displayMode){case"inline":this.coverDiv.style.position="absolute";var te=this.settings.uiOffsetTop!==void 0?this.target.offsetTop+this.settings.uiOffsetTop:this.target.offsetTop>this.styles.settings.toolbarHeight?this.target.offsetTop-this.styles.settings.toolbarHeight:0;this.coverDiv.style.top=te+"px",this.coverDiv.style.left=this.target.offsetLeft.toString()+"px",this.coverDiv.style.width=this.target.offsetWidth.toString()+"px",this.coverDiv.style.zIndex=this.uiStyleSettings.zIndex!==void 0?this.uiStyleSettings.zIndex:"5";break;case"popup":this.coverDiv.style.position="absolute",this.coverDiv.style.top="0px",this.coverDiv.style.left="0px",this.coverDiv.style.width="100vw",this.coverDiv.style.height=window.innerHeight+"px",this.coverDiv.style.backgroundColor="rgba(0, 0, 0, 0.75)",this.coverDiv.style.zIndex=this.uiStyleSettings.zIndex!==void 0?this.uiStyleSettings.zIndex:"1000",this.coverDiv.style.display="flex"}this.targetRoot.appendChild(this.coverDiv),this.uiDiv=document.createElement("div"),this.uiDiv.style.display="flex",this.uiDiv.style.flexDirection="column",this.uiDiv.style.flexGrow="2",this.uiDiv.style.margin=this.settings.displayMode==="popup"?this.settings.popupMargin+"px":"0px",this.uiDiv.style.border="0px",this.coverDiv.appendChild(this.uiDiv),this.toolbar=new Bt(this.uiDiv,this.settings.displayMode,this._availableMarkerTypes,this.uiStyleSettings,this.styles),this.toolbar.addButtonClickListener(this.toolbarButtonClicked),this.toolbar.show(this._silentRenderMode||this.uiStyleSettings.hideToolbar?"hidden":"visible"),this.contentDiv=document.createElement("div"),this.contentDiv.style.display="flex",this.contentDiv.style.flexDirection="row",this.contentDiv.style.flexGrow="2",this.contentDiv.style.flexShrink="1",this.settings.displayMode==="popup"&&(this.contentDiv.style.backgroundColor=this.uiStyleSettings.canvasBackgroundColor,this.contentDiv.style.maxHeight=this.windowHeight-2*this.settings.popupMargin-3.5*this.uiStyleSettings.toolbarHeight+"px",this.contentDiv.style.maxWidth="calc(100vw - "+2*this.settings.popupMargin+"px)"),this.contentDiv.style.overflow="auto",this.uiDiv.appendChild(this.contentDiv),this.editorCanvas=document.createElement("div"),this.editorCanvas.style.flexGrow="2",this.editorCanvas.style.flexShrink="1",this.editorCanvas.style.position="relative",this.editorCanvas.style.overflow="hidden",this.editorCanvas.style.display="flex",this.settings.displayMode==="popup"&&(this.editorCanvas.style.alignItems="center",this.editorCanvas.style.justifyContent="center"),this.editorCanvas.style.pointerEvents="none",this.editorCanvas.style.transformOrigin="left top",this.editorCanvas.style.transform="scale("+this.zoomLevel+")",this.contentDiv.appendChild(this.editorCanvas),this.editingTarget=this.target instanceof HTMLImageElement?document.createElement("img"):document.createElement("canvas"),this.settings.uiOffsetTop===void 0&&this.target.offsetTop-1&&this.markers.splice(this.markers.indexOf(te),1),te.dispose()},le.prototype.switchToSelectMode=function(){this.mode="select",this.hideNotesEditor(),this._currentMarker!==void 0&&(this._currentMarker.state!=="new"?this._currentMarker.select():(this.removeMarker(this._currentMarker),this.setCurrentMarker(),this.markerImage.style.cursor="default"),this.addUndoStep())},le.prototype.toolbarButtonClicked=function(te,z){if(te==="marker"&&z!==void 0)this.createNewMarker(z);else if(te==="action")switch(z){case"select":this.switchToSelectMode(),this.switchToSelectMode();break;case"delete":this.deleteSelectedMarker();break;case"clear":this.clear();break;case"undo":this.undo();break;case"redo":this.redo();break;case"zoom":this.stepZoom();break;case"zoom-out":this.zoomLevel=1;break;case"notes":this.notesArea===void 0?(this.switchToSelectMode(),this.zoomLevel=1,this.showNotesEditor()):this.switchToSelectMode();break;case"close":this.close();break;case"render":this.switchToSelectMode(),this.startRenderAndClose()}},le.prototype.deleteSelectedMarker=function(){var te=this;if(this._currentMarker!==void 0){var z=!1;if(this.eventListeners.markerbeforedelete.forEach(function(de){var ne=new Ie(te,te._currentMarker,!0);de(ne),ne.defaultPrevented&&(z=!0)}),!z){var se=this._currentMarker;this._currentMarker.dispose(),this.markerImage.removeChild(this._currentMarker.container),this.markers.splice(this.markers.indexOf(this._currentMarker),1),this.setCurrentMarker(),this.addUndoStep(),this.eventListeners.markerdelete.forEach(function(de){return de(new Ie(te,se))})}}},le.prototype.clear=function(){var te=this,z=!1;if(this.markers.length>0&&(this.eventListeners.markerbeforedelete.forEach(function(ge){var rt=new Ie(te,void 0,!0);ge(rt),rt.defaultPrevented&&(z=!0)}),!z)){this.setCurrentMarker();for(var 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0?te:"",this.overlayContainer.appendChild(this.notesArea))},le.prototype.hideNotesEditor=function(){this.isNotesAreaOpen&&(this._currentMarker!==void 0&&(this._currentMarker.notes=this.notesArea.value.trim()!==""?this.notesArea.value:void 0),this.overlayContainer.removeChild(this.notesArea),this.notesArea=void 0)},le.prototype.selectLastMarker=function(){this.markers.length>0?this.setCurrentMarker(this.markers[this.markers.length-1]):this.setCurrentMarker()},le.prototype.addUndoStep=function(){var te=this;if(this._currentMarker===void 0||this._currentMarker.state!=="edit"){var z=this.getState(),se=this.undoRedoManager.getLastUndoStep();if(!se||se.width===z.width&&se.height===z.height){var de=this.undoRedoManager.undoStepCount;this.undoRedoManager.addUndoStep(z),de1&&this.panTo({x:te.clientX,y:te.clientY}))},le.prototype.onPointerUp=function(te){this.touchPoints>0&&this.touchPoints--,this.touchPoints===0&&this.isDragging&&this._currentMarker!==void 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