hyparquet/demo/workers/worker.min.js

!function(n){"function"==typeof define&&define.amd?define(n):n()}((function(){"use strict";var n=ArrayBuffer,e=Uint8Array,t=Uint16Array,r=Int16Array,o=Int32Array,i=function(n,t,r){if(e.prototype.slice)return e.prototype.slice.call(n,t,r);(null==t||t<0)&&(t=0),(null==r||r>n.length)&&(r=n.length);var o=new e(r-t);return o.set(n.subarray(t,r)),o},A=function(n,t,r,o){if(e.prototype.fill)return e.prototype.fill.call(n,t,r,o);for((null==r||r<0)&&(r=0),(null==o||o>n.length)&&(o=n.length);r<o;++r)n[r]=t;return n},f=function(n,t,r,o){if(e.prototype.copyWithin)return e.prototype.copyWithin.call(n,t,r,o);for((null==r||r<0)&&(r=0),(null==o||o>n.length)&&(o=n.length);r<o;)n[t++]=n[r++]},s=["invalid zstd data","window size too large (>2046MB)","invalid block type","FSE accuracy too high","match distance too far back","unexpected EOF"],a=function(n,e,t){var r=new Error(e||s[n]);if(r.code=n,Error.captureStackTrace&&Error.captureStackTrace(r,a),!t)throw r;return r},l=function(n,e,t){for(var r=0,o=0;r<t;++r)o|=n[e++]<<(r<<3);return o},w=function(n,t){var r,i,A=n[0]|n[1]<<8|n[2]<<16;if(3126568==A&&253==n[3]){var f=n[4],s=f>>5&1,w=f>>2&1,u=3&f,c=f>>6;8&f&&a(0);var d=6-s,g=3==u?4:u,h=l(n,d,g),p=c?1<<c:s,I=l(n,d+=g,p)+(1==c&&256),E=I;if(!s){var y=1<<10+(n[5]>>3);E=y+(y>>3)*(7&n[5])}E>2145386496&&a(1);var B=new e((1==t?I||E:t?0:E)+12);return B[0]=1,B[4]=4,B[8]=8,{b:d+p,y:0,l:0,d:h,w:t&&1!=t?t:B.subarray(12),e:E,o:new o(B.buffer,0,3),u:I,c:w,m:Math.min(131072,E)}}if(25481893==(A>>4|n[3]<<20))return 8+(((r=n)[i=4]|r[i+1]<<8|r[i+2]<<16|r[i+3]<<24)>>>0);a(0)},u=function(n){for(var e=0;1<<e<=n;++e);return e-1},c=function(o,i,A){var f=4+(i<<3),s=5+(15&o[i]);s>A&&a(3);for(var l=1<<s,w=l,c=-1,d=-1,g=-1,h=l,p=new n(512+(l<<2)),I=new r(p,0,256),E=new t(p,0,256),y=new t(p,512,l),B=512+(l<<1),b=new e(p,B,l),m=new e(p,B+l);c<255&&w>0;){var v=u(w+1),C=f>>3,Q=(1<<v+1)-1,U=(o[C]|o[C+1]<<8|o[C+2]<<16)>>(7&f)&Q,L=(1<<v)-1,F=Q-w-1,Y=U&L;if(Y<F?(f+=v,U=Y):(f+=v+1,U>L&&(U-=F)),I[++c]=--U,-1==U?(w+=U,b[--h]=c):w-=U,!U)do{var N=f>>3;d=(o[N]|o[N+1]<<8)>>(7&f)&3,f+=2,c+=d}while(3==d)}(c>255||w)&&a(0);for(var S=0,T=(l>>1)+(l>>3)+3,R=l-1,W=0;W<=c;++W){var P=I[W];if(P<1)E[W]=-P;else for(g=0;g<P;++g){b[S]=W;do{S=S+T&R}while(S>=h)}}for(S&&a(0),g=0;g<l;++g){var D=E[b[g]]++,q=m[g]=s-u(D);y[g]=(D<<q)-l}return[f+7>>3,{b:s,s:b,n:m,t:y}]},d=c(new e([81,16,99,140,49,198,24,99,12,33,196,24,99,102,102,134,70,146,4]),0,6)[1],g=c(new e([33,20,196,24,99,140,33,132,16,66,8,33,132,16,66,8,33,68,68,68,68,68,68,68,68,36,9]),0,6)[1],h=c(new e([32,132,16,66,102,70,68,68,68,68,36,73,2]),0,5)[1],p=function(n,e){for(var t=n.length,r=new o(t),i=0;i<t;++i)r[i]=e,e+=1<<n[i];return r},I=new e(new o([0,0,0,0,16843009,50528770,134678020,202050057,269422093]).buffer,0,36),E=p(I,0),y=new e(new o([0,0,0,0,0,0,0,0,16843009,50528770,117769220,185207048,252579084,16]).buffer,0,53),B=p(y,3),b=function(n,e,t){var r=n.length,o=e.length,i=n[r-1],A=(1<<t.b)-1,f=-t.b;i||a(0);for(var s=0,l=t.b,w=(r<<3)-8+u(i)-l,c=-1;w>f&&c<o;){var d=w>>3;s=(s<<l|(n[d]|n[d+1]<<8|n[d+2]<<16)>>(7&w))&A,e[++c]=t.s[s],w-=l=t.n[s]}w==f&&c+1==o||a(0)},m=function(n,e,t){var r=6,o=e.length+3>>2,i=o<<1,A=o+i;b(n.subarray(r,r+=n[0]|n[1]<<8),e.subarray(0,o),t),b(n.subarray(r,r+=n[2]|n[3]<<8),e.subarray(o,i),t),b(n.subarray(r,r+=n[4]|n[5]<<8),e.subarray(i,A),t),b(n.subarray(r),e.subarray(A),t)},v=function(n,r,o){var f,s=r.b,l=n[s],w=l>>1&3;r.l=1&l;var p=l>>3|n[s+1]<<5|n[s+2]<<13,v=(s+=3)+p;if(1==w){if(s>=n.length)return;return r.b=s+1,o?(A(o,n[s],r.y,r.y+=p),o):A(new e(p),n[s])}if(!(v>n.length)){if(0==w)return r.b=v,o?(o.set(n.subarray(s,v),r.y),r.y+=p,o):i(n,s,v);if(2==w){var C=n[s],Q=3&C,U=C>>2&3,L=C>>4,F=0,Y=0;Q<2?1&U?L|=n[++s]<<4|(2&U&&n[++s]<<12):L=C>>3:(Y=U,U<2?(L|=(63&n[++s])<<4,F=n[s]>>6|n[++s]<<2):2==U?(L|=n[++s]<<4|(3&n[++s])<<12,F=n[s]>>2|n[++s]<<6):(L|=n[++s]<<4|(63&n[++s])<<12,F=n[s]>>6|n[++s]<<2|n[++s]<<10)),++s;var N=o?o.subarray(r.y,r.y+r.m):new e(r.m),S=N.length-L;if(0==Q)N.set(n.subarray(s,s+=L),S);else if(1==Q)A(N,n[s++],S);else{var T=r.h;if(2==Q){var R=function(n,r){var o=0,i=-1,f=new e(292),s=n[r],l=f.subarray(0,256),w=f.subarray(256,268),d=new t(f.buffer,268);if(s<128){var g=c(n,r+1,6),h=g[0],p=g[1],I=h<<3,E=n[r+=s];E||a(0);for(var y=0,B=0,b=p.b,m=b,v=(++r<<3)-8+u(E);!((v-=b)<I);){var C=v>>3;if(y+=(n[C]|n[C+1]<<8)>>(7&v)&(1<<b)-1,l[++i]=p.s[y],(v-=m)<I)break;B+=(n[C=v>>3]|n[C+1]<<8)>>(7&v)&(1<<m)-1,l[++i]=p.s[B],b=p.n[y],y=p.t[y],m=p.n[B],B=p.t[B]}++i>255&&a(0)}else{for(i=s-127;o<i;o+=2){var Q=n[++r];l[o]=Q>>4,l[o+1]=15&Q}++r}var U=0;for(o=0;o<i;++o)(N=l[o])>11&&a(0),U+=N&&1<<N-1;var L=u(U)+1,F=1<<L,Y=F-U;for(Y&Y-1&&a(0),l[i++]=u(Y)+1,o=0;o<i;++o){var N=l[o];++w[l[o]=N&&L+1-N]}var S=new e(F<<1),T=S.subarray(0,F),R=S.subarray(F);for(d[L]=0,o=L;o>0;--o){var W=d[o];A(R,o,W,d[o-1]=W+w[o]*(1<<L-o))}for(d[0]!=F&&a(0),o=0;o<i;++o){var P=l[o];if(P){var D=d[P];A(T,o,D,d[P]=D+(1<<L-P))}}return[r,{n:R,b:L,s:T}]}(n,s);F+=s-(s=R[0]),r.h=T=R[1]}else T||a(0);(Y?m:b)(n.subarray(s,s+=F),N.subarray(S),T)}var W=n[s++];if(W){255==W?W=32512+(n[s++]|n[s++]<<8):W>127&&(W=W-128<<8|n[s++]);var P=n[s++];3&P&&a(0);for(var D=[g,h,d],q=2;q>-1;--q){var x=P>>2+(q<<1)&3;if(1==x){var H=new e([0,0,n[s++]]);D[q]={s:H.subarray(2,3),n:H.subarray(0,1),t:new t(H.buffer,0,1),b:0}}else 2==x?(s=(f=c(n,s,9-(1&q)))[0],D[q]=f[1]):3==x&&(r.t||a(0),D[q]=r.t[q])}var G=r.t=D,M=G[0],V=G[1],Z=G[2],O=n[v-1];O||a(0);var K=(v<<3)-8+u(O)-Z.b,J=K>>3,k=0,z=(n[J]|n[J+1]<<8)>>(7&K)&(1<<Z.b)-1,X=(n[J=(K-=V.b)>>3]|n[J+1]<<8)>>(7&K)&(1<<V.b)-1,j=(n[J=(K-=M.b)>>3]|n[J+1]<<8)>>(7&K)&(1<<M.b)-1;for(++W;--W;){var _=Z.s[z],$=Z.n[z],nn=M.s[j],en=M.n[j],tn=V.s[X],rn=V.n[X],on=1<<tn,An=on+((n[J=(K-=tn)>>3]|n[J+1]<<8|n[J+2]<<16|n[J+3]<<24)>>>(7&K)&on-1);J=(K-=y[nn])>>3;var fn=B[nn]+((n[J]|n[J+1]<<8|n[J+2]<<16)>>(7&K)&(1<<y[nn])-1);J=(K-=I[_])>>3;var sn=E[_]+((n[J]|n[J+1]<<8|n[J+2]<<16)>>(7&K)&(1<<I[_])-1);if(J=(K-=$)>>3,z=Z.t[z]+((n[J]|n[J+1]<<8)>>(7&K)&(1<<$)-1),J=(K-=en)>>3,j=M.t[j]+((n[J]|n[J+1]<<8)>>(7&K)&(1<<en)-1),J=(K-=rn)>>3,X=V.t[X]+((n[J]|n[J+1]<<8)>>(7&K)&(1<<rn)-1),An>3)r.o[2]=r.o[1],r.o[1]=r.o[0],r.o[0]=An-=3;else{var an=An-(0!=sn);an?(An=3==an?r.o[0]-1:r.o[an],an>1&&(r.o[2]=r.o[1]),r.o[1]=r.o[0],r.o[0]=An):An=r.o[0]}for(q=0;q<sn;++q)N[k+q]=N[S+q];S+=sn;var ln=(k+=sn)-An;if(ln<0){var wn=-ln,un=r.e+ln;wn>fn&&(wn=fn);for(q=0;q<wn;++q)N[k+q]=r.w[un+q];k+=wn,fn-=wn,ln=0}for(q=0;q<fn;++q)N[k+q]=N[ln+q];k+=fn}if(k!=S)for(;S<N.length;)N[k++]=N[S++];else k=N.length;o?r.y+=k:N=i(N,0,k)}else if(o){if(r.y+=L,S)for(q=0;q<L;++q)N[q]=N[S+q]}else S&&(N=i(N,S));return r.b=v,N}a(2)}};function C(n,t){for(var r=[],o=+!t,i=0,A=0;n.length;){var s=w(n,o||t);if("object"==typeof s){for(o?(t=null,s.w.length==s.u&&(r.push(t=s.w),A+=s.u)):(r.push(t),s.e=0);!s.l;){var l=v(n,s,t);l||a(5),t?s.e=s.y:(r.push(l),A+=l.length,f(s.w,0,l.length),s.w.set(l,s.w.length-l.length))}i=s.b+4*s.c}else i=s;n=n.subarray(i)}return function(n,t){if(1==n.length)return n[0];for(var r=new e(t),o=0,i=0;o<n.length;++o){var A=n[o];r.set(A,i),i+=A.length}return r}(r,A)}const Q="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",U=4096,L=new Uint32Array([0,1,3,7,15,31,63,127,255,511,1023,2047,4095,8191,16383,32767,65535,131071,262143,524287,1048575,2097151,4194303,8388607,16777215]);function F(n){this.buf_=new Uint8Array(8224),this.input_=n,this.buf_ptr_=0,this.val_=0,this.pos_=0,this.reset()}F.READ_SIZE=U,F.IBUF_MASK=8191,F.prototype.reset=function(){this.buf_ptr_=0,this.val_=0,this.pos_=0,this.bit_pos_=0,this.bit_end_pos_=0,this.eos_=0,this.readMoreInput();for(let n=0;n<4;n++)this.val_|=this.buf_[this.pos_]<<8*n,this.pos_++;return this.bit_end_pos_>0},F.prototype.readMoreInput=function(){if(this.bit_end_pos_>256);else if(this.eos_){if(this.bit_pos_>this.bit_end_pos_)throw new Error("Unexpected end of input "+this.bit_pos_+" "+this.bit_end_pos_)}else{const n=this.buf_ptr_,e=this.input_.read(this.buf_,n,U);if(e<0)throw new Error("Unexpected end of input");if(e<U){this.eos_=1;for(let t=0;t<32;t++)this.buf_[n+e+t]=0}if(0===n){for(let n=0;n<32;n++)this.buf_[8192+n]=this.buf_[n];this.buf_ptr_=U}else this.buf_ptr_=0;this.bit_end_pos_+=e<<3}},F.prototype.fillBitWindow=function(){for(;this.bit_pos_>=8;)this.val_>>>=8,this.val_|=this.buf_[8191&this.pos_]<<24,this.pos_++,this.bit_pos_=this.bit_pos_-8>>>0,this.bit_end_pos_=this.bit_end_pos_-8>>>0},F.prototype.readBits=function(n){32-this.bit_pos_<n&&this.fillBitWindow();const e=this.val_>>>this.bit_pos_&L[n];return this.bit_pos_+=n,e};const Y=new Uint8Array([0,0,0,0,0,0,0,0,0,4,4,0,0,4,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,8,12,16,12,12,20,12,16,24,28,12,12,32,12,36,12,44,44,44,44,44,44,44,44,44,44,32,32,24,40,28,12,12,48,52,52,52,48,52,52,52,48,52,52,52,52,52,48,52,52,52,52,52,48,52,52,52,52,52,24,12,28,12,12,12,56,60,60,60,56,60,60,60,56,60,60,60,60,60,56,60,60,60,60,60,56,60,60,60,60,60,24,12,28,12,0,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,0,1,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,2,3,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,1,1,1,1,1,1,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,2,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,3,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,4,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,5,6,6,6,6,6,6,6,6,6,6,6,6,6,6,6,7,0,8,8,8,8,8,8,8,8,8,8,8,8,8,8,8,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,16,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,24,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,32,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,40,48,48,48,48,48,48,48,48,48,48,48,48,48,48,48,56,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,6,6,6,6,7,7,7,7,8,8,8,8,9,9,9,9,10,10,10,10,11,11,11,11,12,12,12,12,13,13,13,13,14,14,14,14,15,15,15,15,16,16,16,16,17,17,17,17,18,18,18,18,19,19,19,19,20,20,20,20,21,21,21,21,22,22,22,22,23,23,23,23,24,24,24,24,25,25,25,25,26,26,26,26,27,27,27,27,28,28,28,28,29,29,29,29,30,30,30,30,31,31,31,31,32,32,32,32,33,33,33,33,34,34,34,34,35,35,35,35,36,36,36,36,37,37,37,37,38,38,38,38,39,39,39,39,40,40,40,40,41,41,41,41,42,42,42,42,43,43,43,43,44,44,44,44,45,45,45,45,46,46,46,46,47,47,47,47,48,48,48,48,49,49,49,49,50,50,50,50,51,51,51,51,52,52,52,52,53,53,53,53,54,54,54,54,55,55,55,55,56,56,56,56,57,57,57,57,58,58,58,58,59,59,59,59,60,60,60,60,61,61,61,61,62,62,62,62,63,63,63,63,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]),N=new Uint16Array([1024,1536,1280,1536,0,256,768,512]),S=new Uint8Array([1,2,3,4,0,5,17,6,16,7,8,9,10,11,12,13,14,15]);function T(n,e){this.bits=n,this.value=e}const R=15;function W(n,e){let t=1<<e-1;for(;n&t;)t>>=1;return(n&t-1)+t}function P(n,e,t,r,o){do{n[e+(r-=t)]=new T(o.bits,o.value)}while(r>0)}function D(n,e,t){let r=1<<e-t;for(;e<R&&(r-=n[e],!(r<=0));)++e,r<<=1;return e-t}function q(n,e,t,r,o){const i=e,A=new Int32Array(16),f=new Int32Array(16),s=new Int32Array(o);for(let n=0;n<o;n++)A[r[n]]++;f[1]=0;for(let n=1;n<R;n++)f[n+1]=f[n]+A[n];for(let n=0;n<o;n++)0!==r[n]&&(s[f[r[n]]++]=n);let a=t,l=1<<a,w=l;if(1===f[15]){for(let t=0;t<w;++t)n[e+t]=new T(0,65535&s[0]);return w}let u=0,c=0;for(let r=1,o=2;r<=t;++r,o<<=1)for(;A[r]>0;--A[r]){P(n,e+u,o,l,new T(255&r,65535&s[c++])),u=W(u,r)}const d=w-1;let g=-1;for(let r=t+1,o=2;r<=R;++r,o<<=1)for(;A[r]>0;--A[r]){(u&d)!==g&&(e+=l,a=D(A,r,t),l=1<<a,w+=l,g=u&d,n[i+g]=new T(a+t&255,e-i-g&65535));P(n,e+(u>>t),o,l,new T(r-t&255,65535&s[c++])),u=W(u,r)}return w}function x(n,e,t,r){const o=new Uint8Array(n);r.readMoreInput();const i=r.readBits(2);if(1===i){let e=n-1,t=0;const i=new Int32Array(4),A=r.readBits(2)+1;for(;e;)e>>=1,t++;for(let e=0;e<A;e++)i[e]=r.readBits(t)%n,o[i[e]]=2;switch(o[i[0]]=1,A){case 1:break;case 3:if(i[0]===i[1]||i[0]===i[2]||i[1]===i[2])throw new Error("[ReadHuffmanCode] invalid symbols");break;case 2:if(i[0]===i[1])throw new Error("[ReadHuffmanCode] invalid symbols");o[i[1]]=1;break;case 4:if(i[0]===i[1]||i[0]===i[2]||i[0]===i[3]||i[1]===i[2]||i[1]===i[3]||i[2]===i[3])throw new Error("[ReadHuffmanCode] invalid symbols");r.readBits(1)?(o[i[2]]=3,o[i[3]]=3):o[i[0]]=2}}else{const e=new Uint8Array(18);let t=32,A=0;const f=[new T(2,0),new T(2,4),new T(2,3),new T(3,2),new T(2,0),new T(2,4),new T(2,3),new T(4,1),new T(2,0),new T(2,4),new T(2,3),new T(3,2),new T(2,0),new T(2,4),new T(2,3),new T(4,5)];for(let n=i;n<18&&t>0;n++){const o=S[n];let i=0;r.fillBitWindow(),i+=r.val_>>>r.bit_pos_&15,r.bit_pos_+=f[i].bits;const s=f[i].value;e[o]=s,0!==s&&(t-=32>>s,A++)}if(1!==A&&0!==t)throw new Error("[ReadHuffmanCode] invalid num_codes or space");!function(n,e,t,r){let o=0,i=8,A=0,f=0,s=32768;const a=[];for(let n=0;n<32;n++)a.push(new T(0,0));q(a,0,5,n,18);for(;o<e&&s>0;){let n=0;r.readMoreInput(),r.fillBitWindow(),n+=r.val_>>>r.bit_pos_&31,r.bit_pos_+=a[n].bits;const l=255&a[n].value;if(l<16)A=0,t[o++]=l,0!==l&&(i=l,s-=32768>>l);else{const n=l-14;let a=0;16===l&&(a=i),f!==a&&(A=0,f=a);const w=A;A>0&&(A-=2,A<<=n),A+=r.readBits(n)+3;const u=A-w;if(o+u>e)throw new Error("[ReadHuffmanCodeLengths] symbol + repeat_delta > num_symbols");for(let n=0;n<u;n++)t[o+n]=f;o+=u,0!==f&&(s-=u<<15-f)}}if(0!==s)throw new Error("[ReadHuffmanCodeLengths] space = "+s);for(;o<e;o++)t[o]=0}(e,n,o,r)}const A=q(e,t,8,o,n);if(!A)throw new Error("brotli BuildHuffmanTable failed");return A}function H(n,e,t){t.fillBitWindow();const r=n[e+=t.val_>>>t.bit_pos_&255].bits-8;return r>0&&(t.bit_pos_+=8,e+=n[e].value,e+=t.val_>>>t.bit_pos_&(1<<r)-1),t.bit_pos_+=n[e].bits,n[e].value}function G(n,e){this.offset=n,this.nbits=e}const M=[new G(1,2),new G(5,2),new G(9,2),new G(13,2),new G(17,3),new G(25,3),new G(33,3),new G(41,3),new G(49,4),new G(65,4),new G(81,4),new G(97,4),new G(113,5),new G(145,5),new G(177,5),new G(209,5),new G(241,6),new G(305,6),new G(369,7),new G(497,8),new G(753,9),new G(1265,10),new G(2289,11),new G(4337,12),new G(8433,13),new G(16625,24)],V=[new G(0,0),new G(1,0),new G(2,0),new G(3,0),new G(4,0),new G(5,0),new G(6,1),new G(8,1),new G(10,2),new G(14,2),new G(18,3),new G(26,3),new G(34,4),new G(50,4),new G(66,5),new G(98,5),new G(130,6),new G(194,7),new G(322,8),new G(578,9),new G(1090,10),new G(2114,12),new G(6210,14),new G(22594,24)],Z=[new G(2,0),new G(3,0),new G(4,0),new G(5,0),new G(6,0),new G(7,0),new G(8,0),new G(9,0),new G(10,1),new G(12,1),new G(14,2),new G(18,2),new G(22,3),new G(30,3),new G(38,4),new G(54,4),new G(70,5),new G(102,5),new G(134,6),new G(198,7),new G(326,8),new G(582,9),new G(1094,10),new G(2118,24)],O=[0,0,8,8,0,16,8,16,16],K=[0,8,0,8,16,0,16,8,16];function J(n){this.buffer=n,this.pos=0}function k(n){this.buffer=n,this.pos=0}J.prototype.read=function(n,e,t){this.pos+t>this.buffer.length&&(t=this.buffer.length-this.pos);for(let r=0;r<t;r++)n[e+r]=this.buffer[this.pos+r];return this.pos+=t,t},k.prototype.write=function(n,e){if(this.pos+e>this.buffer.length)throw new Error("brotli output buffer is not large enough");return this.buffer.set(n.subarray(0,e),this.pos),this.pos+=e,e};const z=new Uint8Array([0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0,0,0,0]),X=new Uint8Array([0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13,0,0]),j=new Uint8Array([16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15]);function _(n,e){const t=new Uint16Array(31);for(let r=0;r<31;r++)t[r]=e+=1<<n[r-1];const r=new Int32Array(t[30]);for(let n=1;n<30;n++)for(let e=t[n];e<t[n+1];++e)r[e]=e-t[n]<<5|n;return{base:t,rev:r}}const{base:$,rev:nn}=_(z,2);$[28]=258,nn[258]=28;const{base:en}=_(X,0),tn=new Uint16Array(32768);for(let n=0;n<32768;n++){let e=(43690&n)>>1|(21845&n)<<1;e=(52428&e)>>2|(13107&e)<<2,e=(61680&e)>>4|(3855&e)<<4,tn[n]=((65280&e)>>8|(255&e)<<8)>>1}function rn(n,e,t){const r=new Uint16Array(e);for(let e=0;e<n.length;e++)n[e]&&++r[n[e]-1];const o=new Uint16Array(e);for(let n=1;n<e;n++)o[n]=o[n-1]+r[n-1]<<1;let i;{i=new Uint16Array(1<<e);const t=15-e;for(let r=0;r<n.length;r++)if(n[r]){const A=r<<4|n[r],f=e-n[r];let s=o[n[r]-1]++<<f;for(const n=s|(1<<f)-1;s<=n;s++)i[tn[s]>>t]=A}}return i}const on=new Uint8Array(288);for(let n=0;n<144;n++)on[n]=8;for(let n=144;n<256;n++)on[n]=9;for(let n=256;n<280;n++)on[n]=7;for(let n=280;n<288;n++)on[n]=8;const An=new Uint8Array(32);for(let n=0;n<32;n++)An[n]=5;const fn=rn(on,9),sn=rn(An,5);function an(n){let e=n[0];for(let t=1;t<n.length;t++)n[t]>e&&(e=n[t]);return e}function ln(n,e,t){const r=e/8|0;return(n[r]|n[r+1]<<8)>>(7&e)&t}function wn(n,e){const t=e/8|0;return(n[t]|n[t+1]<<8|n[t+2]<<16)>>(7&e)}function un(n,e,t=0,r=0){if(!(n.length-t))return;const o=function(n,e){if(31!==n[e++]||139!==n[e++]||8!==n[e++])throw new Error("invalid gzip data");const t=n[e++];e+=6,4&t&&(e+=2+(n[e+10]|n[e+11]<<8));for(let r=(t>>3&1)+(t>>4&1);r>0;r-=Number(!n[e++]));return e+(2&t)}(n,t);if(o===n.length-8)return;if(o>n.length-8)throw new Error("unexpected EOF");let i,A,f=8*o,s=0,a=0,l=0;const w=8*n.length;do{if(!i){s=ln(n,f,1);const t=ln(n,f+1,3);if(f+=3,!t){const t=4+((f+7)/8|0),o=n[t-4]|n[t-3]<<8,i=t+o;if(i>n.length)throw new Error("unexpected EOF");e.set(n.subarray(t,i),r),r+=o,f=8*i;continue}if(1===t)i=fn,A=sn,a=9,l=5;else{if(2!==t)throw new Error("invalid block type");{const e=ln(n,f,31)+257,t=ln(n,f+10,15)+4,r=e+ln(n,f+5,31)+1;f+=14;const o=new Uint8Array(r),s=new Uint8Array(19);for(let e=0;e<t;++e)s[j[e]]=ln(n,f+3*e,7);f+=3*t;const w=an(s),u=(1<<w)-1,c=rn(s,w);for(let e=0;e<r;){const t=c[ln(n,f,u)];f+=15&t;const r=t>>4;if(r<16)o[e++]=r;else{let t=0,i=0;for(16===r?(i=3+ln(n,f,3),f+=2,t=o[e-1]):17===r?(i=3+ln(n,f,7),f+=3):18===r&&(i=11+ln(n,f,127),f+=7);i--;)o[e++]=t}}const d=o.subarray(0,e),g=o.subarray(e);a=an(d),l=an(g),i=rn(d,a),A=rn(g,l)}}if(f>w)throw new Error("unexpected EOF")}const t=(1<<a)-1,o=(1<<l)-1;let u=f;for(;;u=f){const s=i[wn(n,f)&t],a=s>>4;if(f+=15&s,f>w)throw new Error("unexpected EOF");if(!s)throw new Error("invalid length/literal");if(a<256)e[r++]=a;else{if(256===a){u=f,i=void 0;break}{let t=a-254;if(a>264){const e=a-257,r=z[e];t=ln(n,f,(1<<r)-1)+$[e],f+=r}if(!A)throw new Error("invalid distance map");const i=A[wn(n,f)&o],s=i>>4;if(!i)throw new Error("invalid distance");f+=15&i;let l=en[s];if(s>3){const e=X[s];l+=wn(n,f)&(1<<e)-1,f+=e}if(f>w)throw new Error("unexpected EOF");const u=r+t;if(r<l)throw new Error("unexpected dictionary case");for(;r<u;r++)e[r]=e[r-l]}}}f=u,i&&(s=1)}while(!s);if(r<e.length){un(n,e,Math.ceil(f/8)+8,r)}}let cn;function dn(){if(!cn){cn=new Uint8Array(122784);const n=atob("\nH4sIAAAAAAAAAzy96XIcx7Uu+tuI4DuU2meLxDbRAElNJgYHR0neGrgFyr7bPg5FdlV2dwHVVa3KKoBN\nSRHggIHgAFKcBc4zJQIgOGIggYjDF6D+kf8U56K6GxH3Ie73rYRsGRLQnZWVwxq+tXKtlYlf0V40GAZ+\nUQe6mBSU2+9GnvZUokw5GozCoGb8RLt+UouqOuxLTRL4/boYaz0Yxf2J3pfUtIqjAR0XIq8W4JdiFFcK\nUdRfDVQt8Ad04Ie6rINqOapo43u6EsV81guisJSUdWXA14NFP/SqqoT31kwxDYKyVl6i44pWblnFWhXj\nqJLEqa6ouF8VAp1Wo7Dsl8oYpw5U6IV60OgBHYYYj6uMLkRJuRqZJDXaqyhPl9GmrPHeskpCVdGf+WF/\nIYhKxt+vC2iP8aFdP/r3QzwTr291/lSOAk+Hnhn0k/IX6B/D8AbRh/FLYYK2ZTWgS+jLaB26KgiqKikP\navw3SE1Fh2nRDypVFSd9kR8mZd8EvklKUYSxam8Q8xzUBt8VTAVzV4GJMJwo9t0y3m8CZZJEK0y3Uivi\nmX4/LA36QaDx+aCKvQKeLfqx3oM16w+jQYUO89WwVMH6J5hsECmvhLU3OiiGUaIrqVsuaq5FWIsjt993\nozAKXR1gn8rYE8/X3ifYnzgNdBnrpvrUPj8sRm6QFgI1aAJtTFkFRcM9RF/7o1Bv6uj4D/zHuNigvaCj\nWLm6EKTY/zQe1Lq/iL/LIJoS1gmbiP3G2Ms6xJr09+tqUlUGnfrVOIoqn+z9/DPQS7i3VgU9olM80691\ntRioEuinH6vjFTGfBOONsecJaLYvrVQTrJaH/jAGfA8KBi1i9LV+rBXWISliX1SaRKCNOO+ChlTQD7qu\nDmBNPPRfAa1jR5MkjcNChB/QCTghiCOj0zjYYLDwcRRoPApSTAyWG3ursY+Bl++rlsAalQEV1/BMAloO\nDQjGi6Pq30DTblStbcp35LraVY9JsBABdsPHy7A+VfBZvuQXsQaJa8xfSrGq4Q3hu6WkM8Z+YIxJgHka\n5aM75eEdDvYv6IvKIWikvxrFmJtJ1n+9rc0DXXa1F3qqURQXOG+s4df53vwg6KYCft1c3df5KfYyVmH/\nIPoeVCFoKCAxef/s+FdnVaXBINbbpLH+XxvW/3FQ+UkFewPaM6VImxJ4AltTqmIs77S1OQHoJw39BPvG\nfvpBh5VByI99lSBnyNOY4uaO6j4sHcY+iPlGQTEK0acfGFXEt+hZVY0LORCj72IQDRZUoWaqKjTgi/cw\n3g/wA9YxoP0EfBcM+v0+ZEJiEhBO7GP6pfYAPDioVX+CvdgNmQO+x5qEBnvYj+2uxWlo+tKgBknWvwn9\nlSIVlCACDN6nvZL2ve6c0Yl5H9/l+8xf3sOY/aKzwUQR9hFyAnSYpAW9X5MaQoxDe6DpBNwcYetAXnFl\n00fVfS5kQBnrXsA49oOWByIssjK1GDwLmgyqGKOP9XJB/1vwrj7sfaJKpuAnBrQVgPmSfgiwELTbhQUu\nYdH+2vvlF16a1L6gfFGBrkUp1j3BEvlhn9q/36VsqmlT9E15cHAwH/sGfRZMNdYDmzAP/K03Y2LbwY8e\nxrGlo2NjAXsOKsDY4hCyxCtE+/JF5ccBxoP1Yt9xX4o5a7fsFze8UwWd6QE/+F8bcqCJuBLgWQ/0UIV8\n3tjR0cFZerEaLKdgimqUFNPQK4CPyrEuQrIE/bpmEvRRBr2D9yHXdbAJxGhSP8GjwVe9vTmKfOxJ7eNd\ne3NYM6180ByH5HsGS9sZqoFaCQyR+FXzxz//+c8YB2SjVwO/m9ZO54dqufoXyO4AfB0MQsHsL2/N/rN9\nXYsD4QR5FeRbWrZ9iH6qqSlDkyRYmk4XNPCf7V3tZWi4D7FGkDFJDBnmvPuuA20SYD+hXUBVGETFh4zq\n96sJ9h86Cvoh0CXQTBWb8R7WdF3LuhaX9A2ZkMdgugpxjwaDVrDXpdSHnA6wUQavBpMoSqSo0u5XSu/+\n8aPNQQpdi36xlJ0gqloJ9FZOKpQSgRenpd1f7doVQj6FWMO/gFgDUiHWfoA6ALyF9XNA/3Gsg1oBOsiA\nVry0X4fKKFdV9SBoo5QGxb2bt2wtg9ZA90kJMgXCH7ovjSGvapsw//XrWztbO3M9FQOh5YN//NgzkC8F\nDc6BHN+76aOt2HpDBsD8gw+wiEXQw/8dumgKUc1AhuTRRW7Pl717CxhPP/autfOHH6C8alg3b8PX/9X6\nbao87E29DQq3Df+D0K/imXXAHcneTX/eOuC7kH5ezdOFpAcTgywLQs1xRoN7N32w1YNs0wMq2Lvpw60B\n1h90C3JUQRX8E0YDCvxgSjrUzv8dOmOiImRTRSe+yHHTVd4C2ZjGReCAKnRJVxL3QOf6rd+/swH/1RhX\nswB6gnyJOzpaOyt+0O+0tfX4cRQC53geeGsQ+2QiP6imiWnvM+3ABrW9mzdv/bR3+xd7N3dsVZ6qYK3w\nrs09fRCC6zc666Fik72bN211MB/oWYh6X1UgW7raqz0mSoPPPv1iF/gReCXGGry3tau8qecjrC1EQNef\nQad7O97bWgHW2vreB/8ADWg/dMv/A8wF8uKYV9a3toKuY+xJSUOngrRC4J7Q27rlw398ExW/Wf+v1k7Q\n1ka0bSSQiTXihmgwKIAXtr7/wT/+qgbUFryv5fsfWv5jx5b/2LrlvX/06WJx1/+z51PI0vKAD3UH0jbA\nF+hj9duUOhT8APqBrkqwdvkC6NADvZaBRSAvgJHCZOuWD/7xyd69e9o2d2wqRtDU6GPXFzudfRA4W99/\n7x/bv9z5Px766Gz5oUXv89H+/X9AvxnQTrL+h9ZOYJEErN6pgOZ++KGr/Z/+v/KfQf/0V/7Po0G8JwHN\nKc8zkBYB2HFfZ8sffoDIikLsZR6KoaPj/VasRa0Pot6AqMCxkLNREWvR6mzu6ACNg4exGIB/wKngibjm\nYl+TGihLA1P4UZiHMnOh50p4L3Ri/n2s055yfifkAaCe4KsQfN0PWoGmUSH04T7QiQu6b/Ggc93Ar7ZC\n+HyI57AOHTv/ttN8+K+ergR8SQTs/+lPrYPYN4CMqArlEVUTqPxA79723wZ0ErZt/mBvQHkOWv/6q8+c\nQhoAl0f9nT+sa/lk17ad4LlWVShAXqtww6Y/fwR8VqZQ6Gr3QVuQJSlxNHCCX9Xft7W809GxuTUE0P/n\npn91/vNfnS2fRSUHeiVZ1/KHP0BflqBTKwXIp9bv1rV0kCawD/3R1v8Pcg1r3bPObG1vd/AgpCLxbWlD\n63ctaOpAb67H9KpeqqD/VJL/656PW7Gx36ZRgv+2gMchIX9YB1J4Dz/v4+cD/HyIn4/w8+fNHfLPJvxs\nxs8W/KDdZrTbjHab0W4z2m1Guy1otwXttqDdFrTbgnZb0G4L2m1hf/hsE77bhDab0LYDz3Tg2Q5814E2\nHWjbgWfQARYDP2iHf4HQ8PMRfj7Ezwf4eR8/7+FnC34242cTftDuI7T7CO0+QruP0O4jtPsI7T5Cu4/Q\n7iO0+wjtPkS7D9HuQ7T7EO0+RLsP0e5DtPsQ7T5Euw/R7gO0+wDtPkC7D9DuA7T7AO0+QLsP0O4DtPsA\n7d5Hu/fR7n20ex/t3ke799HufbR7H+3eR7v3MeMOzvq9TVv+DLWEyeN/wKxR5dV1WBOJJuiqAsckkReV\ngctdCCz1ajYq+BDQr6aUMq+mBnwPesMQcUWQSxEtEvyuXOyt5/dFsN0i4NQQupgWBaQpODYoRd+mr+4T\n1YboEzoCUACcAx1UUH18H8k5UqVUVVNAzDACSwJ7Q4YFqU9VByOnFsGeUBCOcdXH+wt4Z8AGQeT5Efgi\n5rj8189fP3z9Ej9Lr1/8OvT64a9Dvx769aB89vT1Mj5dwl9zaPUSvz+Rv5ZeP8N3S/hk7tfh15fR9in+\nmf31KHo4+vrHX4/+egDfPsLvj/Dfy+zj9ezrq/j3InrCU6+vvb6Fz5++voS2B9Huinz6Av0/fH0eP2fw\nc/nXQ/h8Fu97+voC3v/09fzrl/jsBf65gecOvX729sDb8Tc33468HX5zFz/zbw+9PYy/x97MvpnBN3fx\n/ZG3o2/H3h5+O4yfQ/iEv4++uffmMX4//OY2nh2VPsbfHsQzo/jsF/R0j79J23H8fhht+d9Db55Ir8No\nP/x25M3P+GwcbUbeTMkTw/jmCd7+BNjdJNh4HQWwphOY5bCDsTtAdbT6CTkKxIcxvzXU/rTsAX9AQ7At\nfLfow3ImqIyrNHOhooHyYG0BkcFMh0iIPeA/owFq0yo9BobuAgNypBEHc38Qv9Bki60ABjCk5Q47uwqJ\nDuyD9+o4hmEcQveqQpQm9AsAWCYBrcFAzP4ENgmkGYxQoMO4JO4FI7Y5qYew2YVZ6qbGhdET0+gLCjRj\nCNFggwiVKXolYLcr2jsVvLvmU7PSW2AAv0PaoewerwfagJ4BHAI+gJJ/F4CxE/OAiR3Frq5SQdOQhkYr\n+aEq4gnoUj8Blkw1vRn4ArgGqlPvSyJAVyJk9IxP8WyYAMQbU0j9IBHTF0pAA32lXg3M6NG8Dj1DUxP/\nxdKVYQrT5WLAmlBrUMdoDOhDV4BHP0WIVRvQQLmmXPT3wbzGgMII6C+m5wXYFDgLOlIFMQzsmBat+TaF\nfsaSVHU5ragQWpquC1/8C9DO0PZeARzpwrRxKVqw4sDo5QB2USjGzyBEjaZDx9CbYjx2DRER6wKmD2s+\nTcowk/AsXmew2El5kO4ZTtoD6bnEYgmXM60ksCcoVOKEzpTaDkiGflpwMX1L2FBYqoGqaSKPuMZ31FIx\n07lMLhY2webFDkAt6aqaVmkeG1WtBrVPub8F4KpSWoVwpJ+E1IResKaG5rjBBsUQUNhaCsJ+ulpophFw\nAxqYFI9VlTyL7klbIb0uIYmGviPt7SWxcuDmY3IARFsIfEBvToSFLSrQL/1KNZWCCLlbBtMPNH0V7Zyg\nR2+W8QB3a7DKAhpLKulLYb4mZfooYFeakIMu0E3gRvQn0BnHCWp6RIxbc/lvgGM6WAwla/8gtxl4TodV\nX7uE9X5QxEQ1zUpyHvS8X4HJqkgdPoxAwh40BynTZadJPWC/1C0XuM5xVAMqMv0amwcUg/mRLMBgDlcC\nYD0py44SXdWiYhEk4UZVzcWEiQUWB3rgTluvHMRCTH8I9EecxERTCrY4phqF2FARMjAxCHd7KTI+I9WB\nVqu1yHVhaupishW43ZRBxQnXACYlGYd+N5PGgDtFvpIEjI3mWqVJ1IndSXSe9leFTAJjTwX/Q8oxeBmm\nCnSLJR7Ep3gvzd4QUtCnc8Itf8X+6IqEhIzdMsGPpqfP0M1ovCgtwJKqhW4CbqIVHg1iL3WxRjaA9QKz\nmHYpKGEAGwrepbfS7CBf9lJyEXjX+sTTCDsqAM5zdQct8F6KzSr4M6DfBSCXEkEkNQx4CnPrBDX09Bi6\n5IyicwKbZzSRK+V4KIPGBlSxhPgzoYvV0MfGb2tkMNjk2HxDXy8Fd0zuDkswoLf0cMtKBN3tlRTyl5vs\n7SFzol3oJRGkD2CE722gA7RAjwg9fuylCCPNJ3kHgXh8a8U1/xqMJrR12tthgimPBlqpVk12UcrTWu3c\nRWKlLzjn0rqDdAwTceXCvMj1kImB+NUAnRiwhP392pQAPBIM972eOKJjGN/W2MFG0R2ENJ4bU3f4JRjR\ng5DQngIBY0GM7qFHRofffN377h+3/LmTWHffNyRqKAIMLewD5fepfXlFq8GAZcp0vTn0HRO8Q56G0Kah\nGsj10AkQiteL3kSQBVYD8j6Ke6l7iDKxgxAK9BObPlUV8RDA7PZBc+CUWFHlYB6bexRsOGAvMCO4KFa5\ntvb2v9MFauiHMnQcmz1kYswyKVPnhXRO/MVgAAmYlyQI8EUJl9D9WsTOaKiywVwP1h+MHaeUsVD0f6M+\n303JkA91wi1pgflcc75roUeSHnNDtxZJBavtgQa+5WInsfgMC1FMxz9kB4YLYUu/SEKq1H68mSaV+LPp\n0zM7yNjgbkg4SnSeExg6lOgIxVrT510hu1CrUZ76RtzbXkrRrPcpU4zB7XSPbPz+ezFUqjmMFZtHt0Qu\nonuhqxC39xQxr9jQJ+fpalJ27AkA2NSllOdpgzgvOyFjSiHdVGaQo+JoOyFcunN0X0NlYUafY+ZOPp/v\nagd0DUsFTpqHIA49h508VgB5x3EN0gLErovUFSX9Dc9B8hXSBmCIwrfYripPUOSgoKs9iXvo/jEcvKNA\nIRRANHUDiLB94BI6Dco8pTFUuC59zY6BEDeAaqG4ho2zAZRKJ7r3DTEEXZ9GsDtJqF9OYoQZyecenQCd\ng1QnmJvRG1o7c852wiM8mu7rozu+CpkY0MnT09rpFze0Uch6CsAR8Mro3YRWmD3PXfZps5eqEkqCk9GV\nnoKKcz15E7vdCSUDBFh3ziU6LIPWapvfE9GXpFUfdFkjDquC6TEJkIb4qg1lRx4CXfP4QAf0D5p215h2\nnkB08ogCAiUtFgs+OqVn39D919EPTlOwY9e10KsPTKNT3e1890PnR+IF5JHKd7R/FQ+bXM7XB1mVebzl\nxORnglRDz3KupspR1Epn+TYiUJ5WGTDiph7YQGmJDmax0rtps5gfWrGCdHR2VilV6FI0PF8wHfs+6Ojg\nqUFO/LgFqo5EYcEqPkQZ0VsAButqp3MZM4JwauPmkaTymEfLHypkEgf2/p93b/vvrvY4Kum4SLf+DvLM\nZjpMechj6EnqAmMmCX3xZjPHAggW9rc633/vBPQM8jQn+GMHRJoDcnJ4bucNcsUp4Dr71Nb/96DxQdVd\n9NzHgA41HnvAfiP8xYJVE+qZ7ZSdrc473Y5HzEqvB10tFaijfl2rwLwMeKKWpxvbqRI7g6fDGj2Jhggn\nt4nLMUhATg9WpXfvtq/2krYcHzg23OjAlqc7oYUANz/gAwyIKxXyJQRfQsvwAIzQOgqr5F/yTEvUBtzC\nUwk5ajHUlA6dbyG9Lt8pLyro9dxM3+ve1EGF0MnjOie/OV/xeYiWo9sbUAPbs4OYqwBxqDdzpNjk1j/x\nl+/pxAb/QROXyeKbNnfkHKpYiL6edS1UEN2eDxBAjscXWHDKzpY/FotFMBEgCxFejvAByhqPtdL7vEl4\nATirGlqHM+whbsUhHlW4XMQcJy2nQ6YNvNbm0dBqeTdIOul5NVvf++gfXTy7bYtTMBpPnhwqSKD1fjEV\nqqbbyeU6oQygj7hqm3giAfGvQrrRI0rD7qj7PzbvdiiNYJoXdJdfKTn4yfVsdIp9hr85Oa7f53uj6nae\n2OVCPRjUdmJP+t39WrCyHxArk0ne7ymqb3M9+8ttbripA7vZtinX2kkU3s3TQui3NKhRlhg6kzqxel3v\n0GMRODz0gLJbJ7vv9NGWIMc73K08OHddyyBxCc8+TEpx4/GoowCm6U/IW+CjnMMzWuBnDI1OEPD3t6DR\nNKr4JoItAhnqaTnboWfEVFMaoK9mIzpNXl1PfEhcoIBE0SciMJ6nk6DMFHKGfpSYQ1PorAKRCrhagcqK\n1Lfpqyl6VYx59TiIVC31VFHz+IHeEACjhHZmhFElkaGHxQgF84w2UvR2BGmJR2S1iEeT1gGCFSECAF0Y\n+lQ5PoUBvZoyHIsCQEs9cdrQeo+AfHVIvAi7ySPDEuzp+NV1wCLO2PXjvsiI20bFRFaAFmk1KtONKmSA\nt0FnAJpHUO/KhDzGJzTTnKoCB2oerfniB4IocX1VBLTk8ZEPuIeFrUJSRIUU0yS6jhVILOCfiigSKCfe\nj34LNOIwBJABXvTqcSXiJKM+/glc82qhzCZcgxrgv6sqaR8wMtBQXEypSPCiqAT7QPkl4OIBrgsdWAB8\nWHzuJZa3gveAtqCvsXd0WYVhBAEGAOVizOAeumANFsenU6oMTRabCKAXK4VVBTO+ehxCcu2P6FgQ35QZ\n4JhVNaphpCFBFhiOn0Uu2DmW4yPYSBgLhYjLx+jWMvSShCSa8NV12ny+2ECwnUBGrgxX0ZYMSBuYO+wA\nDAOrAXStCZN1FZoYapHd4GnGQtAtBnRLLxpoqBTQ88ZXYyEqCiKZ1rFdwNAHVX9r32EUjSA3KtOpN+Cr\nPghfIOhX96lzSPIxbGLQTZ8CeYOeYX6pgBpZB5pmMNCckj0EWI1MkPK4HpuMrgKuG56ghR3TTyiExDAG\nlwedA3g5RgUi8aIBYCZDt59RlULEQ1uP7XxFbCu8oEwKqx0AuQ+rC9lPIw7T812FxXg11RfxVdgypYWn\nKArABn5sUh1wBJEpiseGHkZut0yQ6wjLnf4o7qqCRRYRlinSbkLdEGif4ReFKKALE6sGIgT44oBeHZB9\ncxkHgydga4AY2CMHdJ07jQ54LkXXJyXIfVInmZ18gplQKSkCZvzmir2VgOHRFSULaK2GdcMmBRWgy4gA\nUpypNCuAUHxMi9OH7AJlYxIQ+JQlwPNVccaKwaZEqBmfx7jcMtobAOYQPPhY033TR+SoFV2y5l3aqp1e\nRC2NjqHwCXpS61QDDRk652qGwxd1UeChTBxrgeEuT6/TKg1fkB4MW8qetAK1hadCmLqUPIQ1oEBYBtW0\nAH2JpxgvAzxlSOcVsGCsGCRE55gBn8YuJhTLIWssHidYFVqghGYojlsW9wT2h07HWJcwKj9hnAvYFpYS\nxwnejYK0EtLSiiEWaXGLw7BH+/RcAEiXknIR8g1mZ0wXOBYOuA5UDFlLLsYEtHjH0koFK0DLPObqaq9q\nnU37YJ55Vcg6tyYqIKGVTxYFhLfSBHoXkgTWHLBEyRPjUhxdRpyEQFI+dnpQzPWqBjFqMl6pBgmZEuvS\nkVAEc8eMM0IPrlBSVCwCBoMNMUA6EKFi00KFbgj6AsXJatIqo3+A0QKYS3QTeeLgBTwr86Q6lf7LoNRB\nEA1mKj5b82WhT7uJuAWN9faCrCFb3HIscVsVjBAET59dWWgspLLFODFHiHuQGucKfvs2VXTkJZQ5dLAZ\nOiC5g5yFxLTwoArjh1lJKxtrFfFwGRYU+sHSf0aZg+kkdEphbSm2K0TwGrJZM2pIe0lUKgVa3NCga54e\nk25914UiBRURV1Vq1GSDKklgjcjhdVIUJ3dZsCWjm3I9jGnTHui9mAbCyTWxVcVjwn0HLYC2XAyH0qlk\n/ZBG73MZhkIPQIn7ivGUZTGKUPOJuMSth9tgvzA2KAfoJ8Z5RPEAKVN/JStGNgeBkSkJLqiHXczEMHoA\ngFs2I+cQ/NEpo5OSeHjIUyQg0CTQWZEgoQYRGlRE0NBb7MJMJrf6ocTbKVLLDnHeRbLL4s+FVPG8QO/i\nCSTF4SAdmCXl1irC49jstFRmbJcWsK3pgy/5IcetoJl8vgsKwSUWhwCRswJP/GSE9ox9URx/JOepQj81\nMREZDgE159LehBwAv5c9TUkdCy2BY4kBUoiLpMJYwZovnknhNS2ue/OFyBYvpXyw3kQ5OzCM+tIeIYV1\nLMEU8gNwLlavRG87z3cLwjt05TEaC6xjPhbZRZ8sLSN6Vl1Zq4J4WYFiY1UFHWD3rC8MwoN0DkiX1DAL\n0l4VlmPSZgdRpbytMOSnRI8jFHwKcQxZz/gWgB/03evGfjXBGOicJ5HSqoHI83xyKh1hJHvOsU28CFhH\nrAOoEAJBCQ3wJEV7dK5ob4esIRaYDrQynRUqYHwh4wlzDuwbyA2uCWz37+i1wQCL/r5Ijgs+ETrPMzxm\ngwvhQQogvgBcw+QDBdRV/kokYSIz4jkG+TyBDPKE/rcLp8P6SJOauIYp30pR0isSTFHSA6kJRUMqcbRW\nI4hFnHAHY81vPhcJL1oItE33fK/oAhHzhiPQ3rthwVQ76dQ3Wgxxh6o69LrotnV4Pu7LeU13DswKbCHR\nfcBKAxI9QWtoq7O3rB2PHrWSnEuZ7bs+/vQL53OwBPUyHfWu2ANlkcxKTIpP5S0UPInZVcFm616RpeB3\ncIOHv93EHguAd8DpvcIX+ZaWL0Nx6miPJkuuZw9wuF8VZ5YpS2QCdg09fClSIpa1FyI2ofgTe0XaeJpO\nG7pvg5qzQedL+YIuM+4iIp1gIiAcngNoiQLED0+dxLWbGMJCmZVv7PGTt4UG/veEdJ6it9Wt8QQISk5i\nX2HQ72eUHqW90E9PQdcg/drE/0/pVE1EG3rEM6HeHUV0CChGf4pDpOUbiuyceGBFDhuTc9phw+XFGosk\nMlUoIf5yH6PROD5sMKSZPyCcGxYlymqndcfSHs2papXaDMyT65HDRcMY137DCGAxwVx6bKFtMGeMVm+D\nUgdK5LIRBGM/94iG7SrEGMsglUssp3Til9He99/TLcT553p8q8XAY6pGzs/1MNYI8kSHsD8h11LKEIC4\nUNz8ZhM9g9+L+uEa4iM5TcnRc4O3k4g6ORMlukwFm+SMgZ+AyGMelBSxHMlWcTw4cuKV3yZaQA6WjLHH\nfZQb3ifWuU9/YPz13t1tH+Xk6NHZLlog7/wd6IYHhX4k/mLgt5CxQTHQZtL336lEqpA+xdcCBAUBnwAF\ngQ9g2ZS442RNekmc73wTKyy0qgl6cfFKeg1zPWWRGFwMHuaRv+UIych5aqcsgyfO1y5YCsLd3MO2Nka2\nQkL5SQ2TYbQInlepeMOcTXKaERUS+qeJ04wSV9dG59PQpaNEezXhIAc6BPpFDo7zlOjakxOh2jck1vxu\nQXR0XGvvc9GYgdGOX9wjmA173a9rrZ0SSyumdUmwmRwvm52CgX9gkO53YB80344+u9qLQuFyspkvCh6W\nMwrTJZ5eHtw4HVV8VlEgOgxLTOAYZgBsN8EnnpzHGUbN+OH74oyiUwicRTsgzBMQbVADKhEbAKv3jUxJ\nKMEIbyo5Kd5YFO0m6Eti0WkBY5gbhDviXsGBpF327NVyPS3/SWG3t8xthubBTPsIaWqMZe9q51FvsQYc\niy582DNxTY5wu3eIFBVHnKPkhOUbgXE8hlUe5dIAdLGLtZXzlpZesQ6cnXQGuwQmsZz8G/Foe9vovnYY\nwRvUvH+fL+d6mAPAcVLgyWm6odmcGolHoJPyn//qlDiEfCmF8RMDHzDSlSPcytNZ7X1JcOHwWCPnQMql\nPJHBJsNE4GGYnDVjlQBTisAu0Gg7rCUGgxlSVI6Ee0X7tLT8HVI5USCbWKIDtuJBRlfHRCeJrF6u1fmT\nk5Md7ymk5Ag5xzWfi46mxiGSrAoEpEzmMVWuZ0DCDsQGjuUsExoKYIWWYELXWiLYHpsHzRSqgZ5+hj8b\nyo1cjxxNm245H5YDYacsvXVYhm9p+TR0HAmT2AM7td9vk0XEOyAHt4vGl7NBp01oabPIHOZI5Ho6xOX6\npUi5NhFPFdIVCIN0y3hGp0PY0ZHgCCPWQasW64/o248ZG5dzHGskSM9twvzQX7v2VbfKkSpzJvyQRjsQ\nIwM5jJxrrJOjb6flD+TBHgaH/QGfez0t8m1LQZUZNxRzk0qMtAVPlmDRVmWOJq7i3xIxM7YyN1U/N9qY\nHlp5eboxf2D1lzMry9frB2bweTb5sj52amXxwcrc0Mrcz9nwg2xirjF9vXFypDm9kF2ezCZmVhZv1y8d\nz8av188/Wz3/BM1WFhZWFu5mpw80R3/Ons+uvDiwMvdT/ertxqWj2fPbKy8vNQ+caTxerD+6Xr90pPHy\nVOOXi/UjQ/i9OXMY3fK9y4c4pF+uNc7cq489X71zbvX6Uz44NFwfR8uZ1fPTqzcuNCbnsuHHK3NHmy9f\n1k9eajy5sfJyGY80X2JUz7JL9xoLyytzi2jZfHq4fu5i8+7I6o1T2eSV7Nbx+uN72cgxvn3xUv3Ms+b5\niWxkOJuer5+41zx+Mps7mF1aqD8bwzo07i9gXtnEqWzu0Mri0Mr8WHb7ZTZxtHHmav3JYja51Dgyym9n\nz2Z3DtavXKofOVrHs+cerp5frF8awi/1c/PZi4ns2PmVhQf1iZMrS5Mc9sKJ+uST7NZPzeWLWDQsSGPx\nauPq7dUDp+tzc/WxiWx+OTs1ng0/W1k8h/6b1+9l00ey4XuNB7IdL37KTl1oLk82rx9rHJzPRhcbR8bq\nlw81zjzNpk6uzJ1rnD3WnF5qTl/Pho83n8zXz15sHnyUjV/Lhm9z2OP30C12Njs7gp3Kjv+UTd9onHiI\nRVuZG68/fY65rLw8mz1/1FicaODZe0PNmTuNxZHGraXs2ELj4mL28mz90gPs3eqloeadAyuLz+vXXtTP\nzNSPHQDZrF4cXj29VD9xG79n08+yxQUMpg4CmDi6emG4ObNYf3w2Wzq68vJ44+U0XlF/emJ16Ej96H2s\nRv3a8+zl6ezI8WxspDG7WD/xI+aYTV5bmQNd3apfOI1VzU6eWL36eGUeMz3ePPRydQjLOIpmoLTG3VMg\nElAmPsdLs1uj2ckxEE926y5GgvFj6RrXzjTuP1uZO432WNLVQ/dWr883Jqfx9tXRY83lC/ULM9mLoezu\n0fqh4WzkKVa1efgUaJJ0dfpA48ixbG46G7+PT7Jj50hdCyfZ/9Qd/H9l/lp26WF2eaj+dKJ5d6w+fhYN\nQPmNe0exUPXZg/WhE6Ai8Es2dDEbv4pxgkrxFQaAWaNxc3omu3oCRAjKwUJxT1/O1o9ONg9cyG4+rF84\nsbK4yN05cDtbeF4/+7B+fLqxdILcOvuy+fLOyuLRxuLxlZcjmAVX7OkB0CpYElwGbuVcZi7XLyw1bi2Q\nkBYms+NnsRFgW1AU1rx+5STHP7lUPz8MUsTIs+HnmBc6AZVmY+fBNdjHbO4cKC2bGWlcOwC2It2euJuN\nPeOzxxayqwsgD6wtRoX2IKrV0eOcI6h34Vh27lL9wQ1QL6gRXWGRyQULk82hQ82Zs6B2kuLV+eb0FAZM\ngjyznC1cqo9huxcaJ2ayG4dW71ysz81kJ49xGe/NghLw1OoQRM1QNv0T927iFDf99IH6tdFsdERed6J5\n92Y28hgjxMKKTDuK/rOJ8eaTm1jS+tg5SBgwAmTOyuJNcFzj7gwWJLsNbl3AOnOmZ4ayM9PZKIbxsHFn\nERImWzgDmYNlQXtQI4bUeHGuuQTBchXcB7nXnLlBKsXWXwL/PqZwuHI4WxoD79d/nKqfWWosHm4sjmKO\njalzjckn4BqQRDY+Wb98G3RVv3hw9dxpCs+xh41DU6vn76GT1TPToF6s8+rlK9ncXPPobHNmqnFxKVu4\nk80dq1+aJD3cflyfOdNcOtTgGEaadw9zZciJ0yT48/fqh0GfBxqPlrKX9+vnIcYpnVZ/uUBpcw+Ca371\n8g3s4+roqezWYch8iJfViydBipB4q6efgd3IKZjU2MjKwi+NI/fJGosTzZO3688hYa5xhNPPsLONu8dB\nciKHn2NSZLrx69Qmp8ab0w8hSah9Fo82n9xbHZ1onHlOUnw5m50+nr04SxUwfhstMWbuxfIvq0NXsx/v\nYVW59Q9/giTHRBpnHjdnSKX1a9exI82Z29mJkWziUTbxM7iguXwGYr/5ZGpl/mF28njj7kMRJiOgKDLg\nzBPyFMTywpls6r7Iz9PUL/eOZgsToJPm2IP6pUPZ6evsjZv4LJs+tLJ8uT5+qzkEmXNmZXE8u3W/8fP5\nbOImRGt96EBj/Bn/fWQ+G/ulOX0Lr8uWh1evL0LmQyNkDyf40rFT2RCplN/+/CP0b3ZsuH70werBm5AP\neC8lIeTnyDDF0UlMbZ6cDv69O4KZrl68Acak3lwexVAbZ2ahU0iokJyjC7LOx/FVfeompDomWL9wtX52\neGXhKOiH+vfaKOZI+T9+vbl0GpyIN4L8sOON60PQFxRlCyNkmcWFxhTo+TS0GxXQyUOQtyQqKJexH7OZ\neby3eQT8PkONPHKM/AtZcelq46fDfPaXo42pI42FuxDm2RWIponVn49l01fI42PPMH0MFVAB42lMLQm/\nH81OXM3GJuvnr1FNQAMCEgwdJa4Ad4+N1o+NZsfPkwvOT61OjmSTN0QnCnNBrU9eq0/dagzfBZXWn89m\nlx5jjiQ56NPnV4TOr4LIMR7okeYy5vUCCoLMTnl4GpwreoS6hmpl5jBUW/PukWzpPDnl+Amqs4WpbPoY\niKd++Cq/mj7SvDmMBuDQ1YPT1BEQgwt3Vm9eJQq6+LJx+Fnz5QOilPHb7G36IZEMZPt1vPcYGJ+79vAU\nxchpSLBLzdvL4ERs4urwj9nCeTwOfbeyeKH+YAkSAOqeUgu7PH2MApbI5Bw0HTTp6o2RbOYFURbme2wR\nFAK5wf8vTmTDc1zVyWvZ/ONsAlxwGFyZ3bgCPq1fPgl0RLK8cWVl/ije1TxATVo/O4YdJ23PPwEwg7Ij\nxYIgwbYzR4A3oLZWlqfrZ+aziYMrcyfqR05nxx+CQyGNKeVuPGzePUhwMnWBYOzRUuP2leaJ57JQ9zHZ\nxuLdxuLUystrwCGU/9CJ964DKUGUEW9ABt66ujo53Lx4on4a6uzS6s0TwBjkx6fPoeVJny9PA9U0rk4R\nsl6+jpWvP1psnDvfXD5JhLNwF7OAuofEw7I0x4Bgx0CZxJ+TV4EQyFZnJ1aBoEjbh/EKoseHhyi0H48S\nMQLBjt9rPrkKBZGNgE/R1TLAJ6i3fu4l4c3E+eb0PSwOeRYIeeL46p0xoqwXCxS/Q3ebxw5lYHkg5KMX\nV16cWj3/COsJIqSWuXS8eXeIgn3iIB4Bs0BIkgexv8uXmzPAUUsr83fA4NyIp0ehGRt3idzA4FwcKLLp\nn5oHrzduU+/Uz00BiQFdUAdhhcevgHewm8Cuq6OjnNfJ21BeRCPYu8lpstvYLDRv/dRhootLR6h/b402\nb74kqoEgvbSApYPWy6bOg7yx0ZCfFPIjYNhTRE2Xb5AjgB4pD69AsLC3h09AYKBe4aZxYJjmwxv4f/3i\nNLiJUmUOZDO+8uIapcHYL/WpY/XJR/Wjt0WPTBI2Dx8nB038TI15/hkV8ePR5r3x5tIS+Aucwh2cvkEY\nOXQAvQF4410wGWiVPHkC6d149gi4lMgfGmr0Z7APmB3vgpYB1AG5rl6+z/1aoIalHAbdvoACugn9no1d\nW714i4s/NtccP4iFAm7BjtQfXK+fnYPKzh6eoiYd+xE4DZqxfkRGBX48eYIIcPievPcpZMvKy8dQOo2p\nM1ANRBrLl1d/ugShhxfVbw6BxrAX2DvoAkyz/uhHbjRk9dxc48xPzdHHHM/JEWJCID3oSkCaW4DEz/DS\n5pXj2fxc484EMT9Q1ssbVGSjI8C6lCeArLBxxh7Why7XD4EIT1CPHJ8AF0ATYWrEz7dfgjtowhw7AlFJ\nUoQEm4e5dIkE9uIX0Ay2m8bLEUiPwyBFbHf98jJoFSANIguMRnPpwmnMjpBvHJwySRENm+L4KBacanrh\nDvfryH3y1NknAKIY3urQNUpO0tj51av3IU+aT+bYDyaIrZycWz1/idIY2uHlLDUdrCrIc+CZ6XmuMJZr\nXKyky9chD2kqAj1Oc2tA8AJynmWzw2AcSM7m8hUwKRRQdhx24hIepGnw/G52+zZEBK0YaD0YsJdvW5MW\nNAzaI81AmULpQNqPX+Hig6nvjEGjYYPAX6tnLmKjOYWTY8B7EOnZ0AsQGCc7eapx+Sb0MkQTrbCFn6Ge\nVi9QnVGiHlmuHx2GmF09uywct0AUAYsJWhi2yeITcBmEc31+KXt+J5t4DO5eWXwJEoKmAIvBqoL2h6yj\nUQbaOHM1OwXz6ia4CfCVNjjo5wWoYr555BFIDvPCvtNUBDdBYsDAPwz6OU5RP3yX2wdNCsG4fJJkA6G0\nfL75+CYx2zMA8tHs0lVC5acX67NXYdlRAZ24R+gLow/jvzxFfXrkLq0zkOXQNUgbgha0mV8WW3KhPjHR\nXH6YTVyAlUSWX7xKfj8ivHDxfnNmiRDrGCU2cSMsOLz0xCJ10JHjsMppHcw/ARXVLx/E2EADK3MvQb1U\n3xeh3Ubql37mHCFvaaTAzr0JCUMsdGQsu3y+ufALdgHzzRZGMGzgdhKe8Avt8UtXm7Py+SHYApcIdw9O\nN6ZnAS1op88ehBLMJs5BllIbwlCdnMPKg7WJisdGVn+8CrsGfzauTxNXQ1YvHaVldHkIVkP9CiyFi80Z\nIKJpoqDpy80nlyFRCVpunsDc6yfEWoeFNfNjNn0NPAKxQ7h1/2zzl3ONc0v4CoYJJQNGAsH7y0Vq0sPL\njV9u12cmRKRMZbcsR4/gE2qfW/frT26DrYgkJx42DtwERQGjYsr0n8z9DH2UTV+gOwImA5D/5BzV9NiF\nxtnbhL54aglm3RiNo6VlAunJKVAg7dCx5Wz2aP3aBMURjESsNshm9Enj5wOkqAOnBYg+EHfKaTBF/fpN\nUuz4YwiTbOJOdusc+Xf4EPA8TQAChgvAbNnkpGjn682fgdJPrP50snH3ANaKy3X3MFRn/dlY88l8NjwL\nLsuWLwA40UkFI3TuDvf95HFMtnHxBX0jL4ZgSVGNUrOfF01BSoPEgE1By1EsOPyO3mCtiIl6FTqagJ9o\nkz4oohQggctXoaqw1+ACyrFh+iiwOFRGLy407g5hGQH8sCYQoasHxutjj0hFEzfp21m4lT2cJepYvgzz\nXCwIMPJBvJqyhZiKLrJsdpYkB3V5+Cq4tT49Toq6fqV+8lL28Gg2C2V6ggba2PPmkxu0lW4+XL0K2EZ3\nED4hnLv8E+XG/COYRZgdRRww1eQ4LeiLp/DJKvj92DCkuvjQntESfDpJCAdD4OikCJxjGAxl2oWZxqUX\njcvYC0CUJ9k9KIhJIkmsz/Ff6Dp4caF+6BrIMrs5SmE4PNs8MkMn2PAwXTQP7mDHVy8CJz/DXIhegEAm\nZmCT4nXQkvQ8wHKBdUkbZIkegxsv0M/Ki/MAvfXzE/SDwVrEpmDjsNFT6HAGlLM6dJAC9sRV7DVAF8Ug\nOjk3CloCtG4sLkPKNe4RBTUWx7BiNDqO3IcdRx/LyUuNowCBk9jxlbnbFHoP55rLl7KRi5zypSOwZBu/\nYJ2PwH5pzl4HmWGhOPLbLxuLl/FhdvwADdvlQ83lSUwKhgD0EZ1OLy5k48tsicE/uNl8OpHNw0I5Q2cm\ncAKY6+Qp0Q4PKaiBu6aXgBUhc/iWp4eBYMk1156s/jTRuDxE6XTrLp2BF2bqM2dJIRcXKKuPnSOXTR8j\n42Czrp6A8KT5A/ELpX/kNORt48wN+jfuHBQP1T1af8uXG4BYk9caT65RPgBbAnsfvEdcNLlEb+ThSVE9\n4JGbUFsCmWjjU4NPH6mf+LEO4Dd7ZHX0mEi5SZhvNGzvL6zeOQfwTIvj3OHV+7NE13NH0YbrMALrnvwC\nM3xl/sjqhcfZ8BHsPv1RLw6uLExnIwAGRxsn7lPHLd3CvhNDPjwFpQw6oT1+b5Zae/g5um2cWQRoIXp5\nTKMV6p5YFED60EvQNh131x9QR8OyuHS0Pjdcv/1T/eSVxoNT9BJfO7C6SFQGyiHZz15tHp3AdhOdzi02\npq+vXnhWn37avLeYjYw3lhebM6cghME42YGfiIhevFiZP0Gjb3qGW/b8duPoUH346Mo8AOdc48QMmfoq\nxNEi13z5KdHIFTp7geK4krCUjy1jOm7KMA4dDviM6/Ni35MQydgPfdePEl9XqlE1ir9NtZsyUIUnnl4k\nAbOhBGwa1juIlQTOhmFUKcRa4mfDqo6ZhKUYvyohpcb1U095cs4eqTREn9KP8eQTiZqPq7HGe40uvVoI\nJY7UDESM5ZDAUsN0klCVVYG5yyU5SGNIrpHQQg6b0Sjfpn7VBj4aia01KiiloXKjONaRTe5kSK8fqzj2\nC4w+RG9lGbnmATgPMjhOVSn4axGJjDtlqLlhoN+rqVArxu242gbhSuyohOYWFENwY4mFxXhSxulJbE9U\nYcBmMMBoQH6O+coqGQnANRKkG0pVACWRvIbnUIxm5im7p5nPHRV5xiaRnkbiYSJmTvhKgjM5R6yYG1Wq\nNnNbG4n24a7FeIEv4Zk8v7WRkLHEfxqP8TeYY+z6qhp5GASztZPI8zlQ/F4IJKiYUQKYa8D6HX7kxr7x\nsZvMQ8JOpewBv+siKQSrEmNlJb1KawZGRRJALRHKnpIeVFTk6mEF0FS38eCcK6OMnJUbiVWLGLNk+2c0\nKFYqkrhBI1HXBpP1GWXLnBEJozax2v/qMd5Z8DnTlDFuUaC9KNEh9heTfbVgJDqP0bJ+qBjXhPFyZZTL\nsKbIfXXd8/dL3Cdj//CUZHsp7v5+UrgfRNhFjpkkH7+6v8/HO149rur9pCpPDbya8nSkB3h2WVXMAq5o\nhpAzlJVpQEyXKL667vqBqwp4SCKCJXzVQ594OupTVcxCgmFNQShEIqeNhNHGEi0cFmW1sdfccYb6GknX\n5Uwx94IfFFREjgDhkCsNY5iUxDd60esnrxd/nfh1VLLkF14/xM8cs95/PS6fPPr1gOTKP8bvy78O4fOD\n0ubpr0fwc0jy6n+ST2bx23PJqV+0mfavf5RnlyULf4q9SY8vfh3Fpy+YrY+/F/lvZvHj2SXJ6n+M1mvf\nvz7Dsb2+yvfyO/QnGfySYf/i9YL091j6f8TeZWwvXl9/fe/1Sfz3IZ69a2chzz6Sb/Ekxn1DxvxEPuNb\nX8h8Zdb49kf5BG/5dVhmzb5ZY4Atn+Cfl+j5R/vGtbEx1//H30eIZw+s9cA2Q+hx9t8VA+bwxEtZ0yvy\nD9d6RN7+UNrYOgasLLAklQOW0DPHaesXLP16AL09+e3W2d9uj/52a/6322Py+9Bvt+bkk7O/3VqST47+\nduvMb7ce/nbrZ/n3Pfl2Qhrg/8u/3ZqSp0b5ID9Bm1vy1Lz8e0QenJc2M/yF/15iGza+jd/7FHlaWl7i\n//nU8G+3Hvx26478fv63W2Py1ZL8PiGdTMsb7/126+lanxzV7d//jXddkJFc+r2fIXmd9MPfn0rLe/LJ\nvd/7RPsjMovp31dgWlpiDI/kkznpbVqeuiOfnJanRuTDB9JgSj55IN3+xAf51T1pc17Wdkh6G3oz//bw\n2yNvbvPfb0ffPHxz982NN9NvZt/Mv5nBP3d//xw/T6Wuw8Lb8TezUslhhPUZ0J41GEbQfvbNM7Q7/PbQ\n21H8fRefjr0dfntQ6jzMSyWHu/I5W7Biw8/o+SCrO6DfqTf30RPe+/YAPnuO3u7h7bPS8jZHhd+G0eIu\nWs5wtFJbYlwqScy/eYZvx98ewO9Tb36Rt3Jso+j3Jt/45sHaTEbx+2PWosB4Rt7MyJgey7tmMTvOlFUl\nHrKWBFrelNoUw+jRjvhnmQlGgKdYo+IpnnqCnyl8MibVKlgN466Mlk/wPbOc1+/PYoQ30fcY5nkXT99c\n+3yEb5OxcCZj+Ocgx4uWI2+mudry28/S5zDeePfNdZnduLRh66fcG1mf2bcHWR2Dq8Q1ln2ZkXHclPZY\nZ+zdz1xdPDGCzx6gj2EZw8/ckzcP8Nt9rNIIWo7jrcNoz1ksvHmET0Ywh8fccRnPYanSwRW2ozuI9bkn\n877LFUZPN4VGWLXjOvdExjG8tneHWNED35LmfsY3HNW9f6/6Y1mZQ/KueaGKGYwP45K3ch3mpbdR6X+U\nMwfdzL55zjFIbJjkBjFGkrGnaZCUGeQaFG0EtsA6BjylVYlGlDAlj5U1pLqDRKoVlSn7UdhlY+wl5CSu\nAe5ITq9E0zNdn7rbZgKYOA1DyX6O+DirETCSV2KTmV3DPM5BHUjRReAzN9BpKKUXQs2s9n6iGxXWvBrU\nqk3LNxLQN6DcGvpktHmvnRHL0aBTz5fciFhLdnIs88UbCiw/UfalaITNAzBr4cp8C8Nddcx4V0bIsPhA\nmZHRgY27zytPch6lsof2BrVEOwu2dJlU7aUuy9zwL4AZhnwync1VoU2e8Ewq0xXQzNwit8y0hTSWOhbM\nMmHBkQLARU2ilKV0p2K+pxRui5mYgO8qimnu2oYlGlkCAoKQWAGDKDHODyBHJzWbjyFrzVQyicn3EkCf\nEtMUGGlrGJbJeLhAcncJ1kJCd4Yo1wjiMVymjDPMSYK+mFJXldSEgLFMNpdkYx86wyN4u2wn666hb/ul\n3sfgWbOWW1FgvKard3GmprzD0llSjhlytUfCpR1gRFv2gaHxiRqQ6DsaCJi7pBuVdC9IgZXuiGfjmqdd\nRjYxWZXJI77h/rHuB5aYxRP8hHU2GbxYkoS6gPTBlAEtLY0NdJL6GKxRIfmuLN4IeG2zHIxNyjA2PptF\nu7hmJDDsAGOAfckOIWl4fonIvOq7XJ5ttuZKhcYGV14x6DewO23TZKxFpAIQLinSZk+027B4I3GdAI1a\n4sYYKcv5pSZxCtpmdpi/WWpNmWwQ1DSTzjzmSDBgjQH+wmMDfgRIiYXE5xylJB0IzXe1p0HPuhYGvbKo\nQCB1SSSezw8ZwcfQTabylbSyU2EBNIB6icDXXlXSDMLUvn+nnburJK3775bVGEmbMikHbOSCysEj2tvG\n8iFMyaB9A9IocascG+dmg3oZx0dq2JYy6ywp6UTmLqkthkPBX3vsFrtK+NcmyDDPQJJdiOpdzfwBbrCs\ntSHVwTLp3iRv+sQKAafbCfWgs8Pug01t8npJISr4wsoeyhBfSjiQScDX5IcdzG4rST2iAgsyMmTTFLTk\nkkgsuPZ26jQxTOkJSfMSvx/bOjssJpMM6rXk/qBm7PxAUpx0r2VfyJcqyXNf2S/4CRN+32lr22GFh9TA\nYUL1APchSiUKdC3vZS05ZoMVWtWUNqAWOd2dsyH3DgPOpTCHUMinYktyT0AFzCICm9VsYotp28Sagi2S\niBBXdlhhxeK0oc0KIoFVmVpTYoEUhklawSkx/Nr7mNQfQgozC8hjaG1c6fFhuaSeHixrS1LMBPF67Y65\nKmGg/jarA2xOkS3wBG4IfT4v0kbXmOeCld/B7MBSVGbJEVX72HI4M4ZAtButCBKSAilq1qUukRkHSLuG\ngYmSewXCpwAKavmWFiYL4LUOiMwD7YADtkMyYHN3UOpCSWKJHZab9NFKfxpLLeqcIxnYNo3D0L71pSgz\nsxU+syK9nErCox86bAVJoPzY7MAKMp2ZGYYqKMQ2PNuXPKtAWpe2sg5vd85mTzhrSUqM9MeagZkrfsos\nkH7MdluFZUjVLk9y4/9l5/651dpMS3GSSCI7u3NUpoHex6hpUkEimQcFRs4OaKn4peM2m35n0+kMazLg\ncZb3xdx3gxmK0T4qNwYmQ1fRaBZhBZW1z6+klbIVcpArvhfUIJ8rUoUUVAIFj3Gy7LfEexupbYWpYATa\n5lanrPYaKpPUQJ54q9NrcUjMDMVUU5ZEldpXFlZgzUQ3UiZTwKFnvE8JeeftEmyzqGSXR43sGF0iF38V\nQZQnjk3nMHuU61vRzNyAtOoMSvkihrtuHdQOy35vEy25lqVhvrHZeiy5hEkrVwQEKyhj36Xohva2OhLK\nm1gwVKDWNUkBO1H0E8ZFY4C9VsCzMinWDBIYHZpKJPKFdfLwH984LGjOucdGi6cEW8H61N05UXUgaFYW\nGmDMP1MRuA9SubSiuaL78P6KzQeOtU0M2qrFreZhkRzWBWJ4tgIPi0oeVDUuubMtZR6rzTIzOyz4slll\nRorAQY+zaJqR1BAMQipgrGupsqY1NHosqZEu641XE8FuDCSOJVnNBm3bNE4WAmOKnLN+PRkPAoRzhzIN\nJIcVwhwyxKp5C7C0AlmCKZlWLeKCyWqmNS9JPpJx7K7lIUGTiGvH+sI8G9Tv2BycWIquMU6ftYr0Lgny\nhzAWbb+WZLnDQj9ffGZBCFlO6JDKNn5jUyKY0kE6Y0B0rodCPCAslM6oCPBdGyBn/1oamfb+mrI8MvVR\nVSrEQQtXzN4yVJxxKtF+ohtuoy9lWZjWqC0zQ8BT3G0VitpYZvkt7X0Z1CoAGt9YIWkTWY0Up8LEAKlC\n313LorTpjIzPB1IUH24iwkN2xObHSpGxoFayibBSIgv0Z4vUUPGxG6sULeXnWZWi7FdZsMdnaq2ILsnO\nIUxhQSIvTWSrmB3KbEQLGRP5viS8FjAZgTmE2y2eB/rle39wpDDPHgsnoSIprViyHiS2G4QBQW/TE41k\n0mlvF3mHGqdIbc9UXAAe3lcAadOrZS5tdpV2WyjNPLKoyCImLB8kpYuorkPmXLJc1oaO1naWku6T6toU\nF9aM6E10taxDJhDo0IkKYlRIeaZ1LZ9L5pnDFcNQc44UvbEpywZ6ZTeIvKXlc7CRY3OzjMTyYx+s1Cv6\nAslYJANDo8NUyhsy6wIWiqwSCya5PowRgHRj+iwtfaxZLMDZziI5acWWJupJBn1BZhETM2qs7s7ycwq4\nPNaOTaNgDRnaY+WYTkQyLdlRcrIEXEKUsmrxuhZnhzXuQOvgSZb0Nxgg3+4oI2/3wT6SWthFtujpYuV7\nAAlBDutabL6esWPRdkG2EsyiF9ci4002/UDKi7U4xu5YwdbMsgmnzqCWtLyODluvDfQOIgQMpQSTyh8Q\nnj5VuFPwea1CjddbOCxq6nADWRwdf70bK6iETl7XwMrbrLwWljZY4t2JfwFVMXmP9OkzNYSlgPiGbVaU\n/A2wDPbnAIiRX6YUMsZlCUIViGp1uv9uhYdUCYOIdUSd2mQVr0tJYi8TkbCYzjbI39gXHVfWO383VxMo\nEo/pLgOcEdOWOwuKgsWwMDdHBglIoxgiA2tKHe4o2pS0PoFH2dlfmZIIyCGZJpLwRjVh0zRsGoizW3Jd\nHKIZsm+tSnKT0ocubcWKL3URQ8cvWqMpsQlhHgkIr223UqBgs23axG7ZyoqcYvczLTsv+VO5HowMb01g\ngwRarD3SvOT84Dsscuonu+WyAY95T+QL6gFlpD5ergez5DrbNFkASN4Y0MNrMZyC3DKCTVWOSK0KDdS4\n1i6ZU/mihQAe9gTqjMVpoNlci9ml5IHYMrS+/ES0fZiKSPqr1FB3RFSahNAPfxal+CRlAbiSZb1Ye9MK\nFGewHHG4JNKURTSkMIUByMd4ZelYMlPy3W1Ct+mVmgUOy/hzN6MKt5NICURF/YcX2aTFrkKNm+l8YSHq\nHuvssCmvLKdJ9mDiEnR5L9gD/UlNt6C2h5oJEjJyeIJFyyallUyj1NgqCcwZpnYykpVseIUKlon1hGhl\nKclrosUOoWOTCDe02UQsMSNyPbR6Er/aa01nW+nA7E3jfgxCCqfqOC8lNDcILmhpKVgalNJ1vIaDeZpr\nlR+6v2JdjNiTbPKgVuU9KL6Yxf7vKUQtkuq09Y9pIAwkh2ZGLlIQCQZTwJXy8AIdtJuu+UOMFFPFxHZa\nJ5dd1patjlQClLpvPMZKIRwqYlBhq+iewvj2SXU7SW9d12KrHOT/sq8SOANyr43YaqwAxzoC3CTeqYA2\nGvi4ra2nNQ+OjTfYjD3Dy1XwAOtA4X9iVu/Xf2MaKAhF0kRB47HbnWvfY31IHrPL6UkSzJdYILhHSmk4\nvLXG8cO/snJbWd5MgGlttS7JRu9RjsBg3tsQrpcrReKNzi7r4SnCtiMqI8NE8ScpzaHaNj+2NQ5kKiAb\nWi6fS5mVwOb6mT1rjqWNQFWe49i8wTX3D0vUSiZ9ESzdYktgmI/lJh1nm7Vz+GxFiZ6zlTEAEGsscSc6\nQEQz2xtKLyBe37B2HCxz1smPmIQGHJzEO2y1ks9TA2Ri/m7NKxhUFcGm4r2jtsZ6fip5ohuldmZQa6ed\n+40Cy8idAlKLYMO2VMoskkVBbta7tfHTUDgOkJg79ol2eEmPTQU32+Qwttbyhz+w4thOGJUaQsjaapIM\nl+thajdYRnDPfr0Ndl9ZVTbY0hHfWQaqptJ1q6ixDTbrsWXntr3b/un8J3EicIXYRTQqEoxeEtfphWN1\nxZrzjdT7Wy9iBrJMUjmNX9xA2PBpIsN9l5fQdDq5HqlDyxtuQC9fWh+ntkCXV+KI7GHuZlgS9ONEoZT7\nFVhRrLmUfOQq65dKoPMHQ1rVrPkZDpA8hVHDEjcM3/EKEJBwzoFF3J3zmLIdVe0bEsyBFGAzZA2Mf46C\n1SnBzSpwaby3doqksMmCChiCcn5A1L/4DqFet1nvK2vz6jRW1ockR9pglSAgJhpcm5ioGSPOv2JNBJFU\nXyn6ZG0M2k12WqxIkxXL0yJ76tiCK5KPiV4+k5IHznZq2KhIbSjuxZAXx1ANglL66aTsTyQ5eb1NjMw5\ntpRN96CVptTyX/mlzhaZH8thcIbbsFEbHTdOpX4N6xrkeujHRL9ScNOwmB2NbBoG6e+GprFZwQ7YkC4K\nwYrdTss6KXqZRFJk4Ctrse+xfuHdFmvsoaOApXmkdMXf/JiktVaQYYd1a+2xaNTmwndWCRVY60LR5fmZ\nWKuOrWNitoUATGHN6nfnK+va2WWtcmt+GNdSOTYdlGKhGB0oYvW02UI0X1g8KLmgAJm/V4dQLCdkS3IY\n3rJEcCLFgoxIvkKN+lbqdsf96BP0CYKsAXzSFcjv0Lmy8owXRmHjWlp6oSid9VIFeb2tumH6dY0Fw0X3\nBwFT1NFSKta2dtI7qQcdW63HkVrZEKaxwwRmKaXQuTbaTvG9Qh9JnrexCbAOvRE6KPZar8puLUnbA6KE\ntdRDMmV6YKGWEvqXgGRdqZlAde6wShS1p9mZ9lMq2jJBG8Ug9pNBK/J4CxE2QDmSYpzbmisnSZVvBifa\nqhMtUnYoqNlaNLFrDQcyOnsXXBf22uME+jvxooDlnJNa0doWFPIANdraVSalo0n3ihXplC1dfyUlTkKp\nH2CSbQHdKUqUjXg9aF4J9s315AWGel4kOKtoF4T1V9GG/hCVlHdajbfDuo5tzRvTapUNhrAG03gjHFGC\nFV30yX1qDc2iX0w0L8FxeBlbXkp35uVagtAr2nLysNVYSgg8FUi+dgny2+12PsfL82JkQ/pZZFy1BUCU\nI3WtWX8NS8AK9hQC4v9yCmK2xLzZzKH1TDXvsFaCw+AWwfqxVCVZK3LECgqJaKdE6gEHUeoVY7pa0Nnn\n4qzYxMMu+ntgQULpbbfuYaL+SB5giNGA5VupEA/wLDXsPF6zApFhazo4UmhEe59Zv/cnUhDKkRufarw4\nCH/VxNsEaSoFMyRqiBCDlehzPUZGUOJVP6DB7ZKV3cqqddjs2NZe+hjKmGdn2AAHmiZl7TXP1iMwLA7s\ngFisS49lNrnF1I1YCSV2jqVIKQCAR6G5vMhNZSHLrK0vxfRZmaaYWg+UY4te9OxmuTdTo7YXONWHzfS+\ntsceHK64FCIe8tgzRUecAa5OBVw4n1t72ubzt2gaE2FS0OJbgyzYwfpo/j4SEbV9xXf/2CH/I+HF9Et5\ngKaOLTTmiLYFYgGxyAoCmzrdUl+Y50Cs2mH2WFDKewyIIxN5bzEV5/SA3LlUsrWYoAPExmdsFCxZqeKt\n1+q8GPKYppdONIq40VzyB6tw2NJnbbwlhv4CFZJZbGY9ltIhGmvNQ2tuaBWnUWunFA62jEetbaUNT1Op\njmKfdflsySPD8qv4sZ5Z8LpDYbdD0Lax1aec7akYmms1jPZaqwDsK/Rd1axaUYo8VqXbq0qkz23CVFup\ntiBYvpIKLaB0hmDJDZQQSLb0wbufsSBQEA5qhyyxw57H/TWFVDcVa6/QtUJdJScTDiS+4Vgg4mjASdXw\n9RuF+GBNRWwdtIiGZDla1iehtUGrcA0mQFUQhtryVrZqmNnOGg+x1P/hATj5HqLZ0iAvz3RYfj6G3o53\nWzdTH0+vYX2KLs/nrXlMaBKy3I3Dq1NsaSLWwwHfh/KfxMYk5hw5vokd1gimBMXrwkhuKBOqgwypVUCB\nYhDwdgsdd9iyEIQHQL8Wj+fa/9PpeuefO8RIc7ojcY44tF3BR3K1m+dY9EuzxfxbvRjHGhcQhnhgUA4H\nXWOrn/HaSpZO4Y2QFICYP5duzUcq0s1xbKm4H8Rrt8EWEiyz2Foh2jdoVZ2dmMdabfvBY44XwTSJrXM8\n74iCHhzM57CfBTGIS1LxPdrKdcNa5x1xnFl3kfn+++9+6Bz0BQJERVML7fLwnNRITVJNDyeJnVVX9sYq\nFUHqGFvAzhoqXWCnXkClbdYLbs3cvLUGkx3WGhSCzDl/9wOAj4pJYcUWeOdYit0q+FJbNy9XAmywxRAd\nW3fQSJ2YqBiyJpoKdtiTbNayC5TcVYAFkdsAglqbdfG02SKLXe2B39PSknfEvQjGIxVD/NLRv2vNJy51\nvpwBX4mtVmW1ygCkR89enAaCnmNxxrmWGwkKWK8vDSgIy2T6qN9WT9zYbYlow1rhNPGzAgFLkXfWasby\nfS6VS5z/4j2rXm2tGhSL97Mz8aV72+WKVyPV+7vaCeqIbWw9RwJ4SOGyXyHV0IwoYBvFjsuzzj9Lg8Pe\n5LWOnFYSmby959ET50OVxdKSmqWvrb4QdO0ze9KrHGGFT3RcEB6N/X5Qsq2HmF8r9yjF/9aOvqu8BBLs\nJJ602LHy06GPEyYd0AXveKRTFEwSW0wkZ+OOw1OPCu8u9WORtNBxfvJfFvkDC0ehH9l6jc5aecA1PWFL\nEtI1Sm9orpUXqW0QZ0DAw21KFFtVbW3QG/fYqAEsI+8YdOgT7845Vp/5oTgDuuwxhq1s87eerv/dDpFI\nFxBPpC1YNyzIGgPeihKWO1aUeafbWY+/6Q6Va2vjBCtha8Fs3RarApAcpTDm7lp3EauLcbZyCthmKwZu\nBClRb7D6Mr6jygSr7Qi4ciFLqdEZVxJ9a523UhWfYmbtLNJqPEydtbh3WAvTFq8yPdZslZWg1w/YsxDY\nknqORFZgKmIV5Ktma875i2NvjklATjzqYsl2bKqtt2ikyD5GxjtE6MbwSDeEFYIS0Hl3jorInkkxzmO7\nKsCeCe352JqYEXcDz2ATOYLbZgS+2kp0htznx2Rd+glpdoN+PmHF4SjcvOa5dF2iC1sk1GE5fh6dWpjW\nKrfobahSmqF765MFm/01DWpYxj85OSJcHnDS7Qq0RqcT6FEsYbr6HLntdP2f1kMdWkTs2BpqVDYcjq2z\nZ3i5MneFZ95qrRCo02VJimBLDiHZcgNLtoERSC4wMcC0vBI678i5mlxgIiU68Xut3fJvoSTIB4qBG/6p\nvfNCLhsB9LPwYHN1n7Oluq9PbjPJy61IjrIVVPMwVIhYLD23dYtPrpP0SdUkBWPztk9HVKTTbWu3bqSt\nw5vpbGFAW2CKTjIGIPE6TEcZW7PUkwKCsa3N3+JQCUdSZZWIumjphfoxpMfXoduDS051Zc8PBy2sGCyL\nF5ZnXeDiQtzD+z6tL8exJ8TdoqSAIFLa9to34j9TskXONq/ix+Lu3ae9Tlv91vncxijtIV1vdChJYj8i\nluIRYiwKFvzO0ondObn2hIWg7GEw0a+SmYiQFfQrwlhuPXCwWBUif96L5bCmGXgyTQzkkinW0G1RiggC\nv0D2RGKk2UJpRogvpMMM7F8hbOLBii8g0fPFqb2bh7MwXsUzt8EWz6Q/sopubJyHQ2KgUqA1wSNXnjsb\ndy3MgMWsfi8m10ZDDVsFKxm6uWZrT5p2q0Z3xBEGrBxb75FXMHBiiZiDIiCwD1o0Xet3jB2DjBOAFVhT\nj5dVQaPtlv/lLE/n5IoH5TDJI6oZIimHd8XwEo3QHgbHFSvB0oJcwRBriWUjFANFWpjWI8GPmJiWG3a/\nsEcGfmjLAUeyGH9nSdb15gt7rCpFJlUoxwm0A0Q7QmYRtNlyvTUiK7keVzSercv5HWE/KwFKDVXwoESG\n5K3v35FKYRvk3qZcT8oa+rkep5cOZTotBkQFQPtCW0F/Yv8IfVnwGMIGk7anco5jjyPoMgFZbcjt/PLz\nHZENOBQ+Z1yEmDnOf9mwDVtTkIfIEk8UUf0OWgjdaWFa4q0JapEhYQUGFX0ezOohHhbPl6We9aJFocGl\nvq+3nSFcsG+jxJYKk1ph1i7eXBJfTHWHDSHJr9WhtmVfJVihzANYnjsy6JCyzpVeRLfxpMKxIVyMHTA0\nFcpSzJDxWZwAZIONhesuWD8fDSlozO5uh26VLkuuLVJulGdZclQrzLhWfDQvGD0KqdihPvPWh8gzLFo2\noN9iFNsCsY6tVYhpyz1jkZWRtuhfnnJQSEwitHZYb72xlYA5aMyGRAqOJsrCjlpxz70jCZNOfMzInv9h\nYVmUkbQL+CclDBl6IjDNHlt9U7DwADiYVz18asG6LQG+UTlyhsPHsRRfSP0/R24A0TFvfWfZbHatfq+L\nOxiJ33yDLWJsUYWIGsy1zTLgHql7KUsrsCLmVlkr6Rtb/3qjxFlI2KkfeRvpc7fnt9avJoGDcri+FuPJ\n2pUErrVtNhAlkXPDWr/FGqKC17WQm7AriqFXURimLFoa7LABjuLsZ0KRUGsUC5Cg1waLiuYb8aEby31l\ntkRem41rNl+6PCrjZQ000iwHOPR84YGd1uug6dQjYjFlnqvxnraAJ3eBdTPhz24/kZgVBlgNUE7Y0FJR\nKGvFDY0luhZrpOV9mo7Qg9b0snrzG+Xw0jGAoX6WvLehUBuJqDGxbyyBymVhvH+EK7DRRttBwcrCFITx\nKnKHHNSn1IF37BmfQz4TNWGIjW0NZcfSmRE0EddskXTj2EOiPTZ+CUKGW2djyL2i3HrIg3VyhxzD+yGj\n9ABUqKDpMbMucV5nxMViiV9YPvZgWmKCgkBu2HOULd7p2IrfeXZNDfaZElzBI+E0+QQLCCoQ67pQ4/Ga\ntXp4Gub5Uji6IGFMNTF9AmX1mJFal4khj5VIHvS+hrEupub3utJO99e9fKbXHpPZsphGzmhBjrICeUoL\nvM+etG/kdZA8h02lXqSwUxBY8NRu5co339i6rJ+oGCLPa5c7l6yME0xJ7ypjvRhwwTLzQIf9NWye+poZ\ncJ6WA811LdsSVv5VcoSd2nu1aht5T3RAYwt/5XrWqmDKbYuOAlynNxzUw4WVCvbYvLWAbRECDquiOt+1\n2Pgj3gfNSW8UZqT2oneUltrfef+05o67SmjiE9ZapiSSoIW1upLfWaJlHB19HkWJTeWC8I5yzA8jq9i3\nMyBpkLE4ScwcR16yhZUVXcoBVOi45tpH8deGkS5d1E4E1qxL65s2GyVWtp49lsPEW2h9yh2MmgcIvI6N\n/t1EbBlqbdpLcophfBtcVrQqYXtaBLiKbHnOLnG+Q17H3P9ohz0yECvHD20N0LXgcVGfAN6wbgcA9m11\nfOcHXqLFEzaHHcmNOirg0VnI8F/KwfYk5bWPLGbLg/BesF5F4n95DNjmdCmnHNvrFqCsnS++3OvYcvob\nZU8UhF/s2Jr5dNMnVsOKKbmuxSr7fNlyh4yQp2A+j2dyZM5cT1QAfmL5Yp5oRzmqh6Ivih1rtIvBWjDE\npJq7H4olT9kM0lcsIp/ov/I2Lx3/D33v7ziEU1hthiBI+C/ltGNslB5GSqDxFxuMavMl1tS1U/Dl7kpR\nsN05LIbMKBG7+itJt9hoK0A7toC2Y+NRBuUeWFAn/SbKqVqfVWQFfJvdwE4bemSLqTu2KrKNr9CDVauL\n5YImR8qeY9LKkXiKDb4otzXHQqc9+9bh/hqDk8QxQXlF8vnOHgtxlKpawzDIV/TsiFedPvsWuWiNOlB8\n6f877ejYskOJz9BREunwhz/YaFXhTEjSrt4dX326Z+9XNoDFVltvl6DzaN/22qfehtw+SQA1GwftMSfG\nYoQoiw64zJbldyxANc7XdOjK2WFZSTly7JFscaHG8to8ULMHHdaw9dptIX57PVc4EAXEKHgDT/mUZdiC\nPb7/1B7Di8e4FPHAHgO1bOTYOLIu67NQnSwL3dVuy6Abia9SiUUONgUg1o6tAS783V5WjtjsVRtd+wn1\nUTc9ZFxn5kUDCfxNSchf9z//1bmhmNra5Ka9R9zhdL1Bo35q10X4oesdewBkHBsSsl37fRJZBSX46ppn\nw/YlI1unEKj9kNElpf0AJgqEI/62jjdFU0v1aWY/4P2JvQSmwtRgN6q+ul6S2yhhcjBIWi5Uidwk5RVU\nqYQIswuSvzRQ9i4HJrWbf2fEK559vrrP+AnXV8Z+p2wOVWTT8Vmlnem+Nu5Cha8W8FykmPvtMUuYsboV\nDKLASx+p2WxKfGRvkoI93Cc2kWDicrSWby5ZRV7EcuolxojKpRtMJecVfrydkTh/wIarcpzRqwVexRyJ\n7oiMTW2KbJKQvcJJsk5iFqDntU5+hAHxlqSK5LhHNmPcaOsMkmu1mPeCpYppfepXs1EiYTq8MsrzS5Fc\nSeHJPqAzcQ34SllnHFaC2VOllA782BYAMGu1BfiXr8XM54VETOSC8Hs1laS8SCnkvUzMOucNSBS9fVFR\n9IqSbCuet/E7JRFyENKS4W6wYAyGxuj9V49DCZtKJF8WA7RJ+fbKA8Nbf1xWL3BdtoTtg6nHcnGX3J/L\nqERe6hO/uk5bJ/bXKhOYytq+M0t/CjgPdBMqu+RSlAFj4e1CPu+2qjBznBLn1UIoV4RFciFYhdeEYVmV\nVASQeH/GWsht2RV7bTNtMZ7W8zCdfxPkMy4LPKmAo9bSkHhpppwA8qSLThe5ozjmHaL2loDfb7LR+2za\njXjksR90olJKcqsSOdn3GIJTW0tENGtTDtYS6cz+Nol22LqWdgOcUGTujbbJCwnvx2LaPSuuJyLfbMqI\nWcvW8Yhf+aAE7sp8fcnbov+JjkdGkZGemVnFUHQbR6YCGvdEnzboSMdruVxAj0YS6GjLgzoCXt9MrL+W\nuyPCjup0LZfOSDIBgUZYk3QlVTASXSk5ejzXHbC3ccOYV/sZOyYRFIwvtMf04vXEiwesbHO61s6SaYAz\nNoPHDwxES6KSiMK1pByvILcHsR79oFgaa/smnjY68sxadtJna/tsvTvMm7T5bXLrNd8PecsYiQo4kIEz\nvycWWIUd1ORgnRk0crtrTLZQVAZFLvcAs1m0uG8lKlRuppEY+4RpRv8/W2/aJNd5XgnKu1Hd6H1fr1Pt\nZmFcqALk6Qk3qlAOECRFyNxCgKye8fQoblXeqrpEVmZ13kwASUkRAEhwEynKtkjJMm2KIkhCEAGCAAEC\nIAl+gP2d/GQw5os7goSoiZnfMPOcc57nvW+yRwuqKpd73/uuz3LOedA2iFUgTqdk7CrKRPK4IFuuZAUp\n0p+c3dn0bSuiEr1D0VChzEYsmGJdpVA6y1sojWIvMM5I/ilG1+YpDHz7vm07rBwIfx9mEau0DlnichPj\nD6gponOw+jEPiMW3uRnsRgQB7MojZBExH/lc9syen5sQvmVDqNoGVXeveCCIbc4irqEcCrwK1UbAfB5j\n6neJcpiU9XAV1WMVquJ8I6oMzBkgI5091TjQvLsxaIiaAGAH7QfIFW5YubWFc2DDSZ2qDbO8ZJvSmGEy\nEQY6he/SPW2iZl04CdFj8BPC1NfsQxWJp+vS5QccGzHm1ZGQYnbf9XrnSt1fcMJZrENNN/KLZIx4u229\n4LCxCXDM+h4BIuLdUHS0i4fEclCRt9VVds39vk4AGOACY42T/roH+JYdjd/dUwTxdMRy7EDwYwEdjP1D\nVQGGiKyT/4lKWuujDXGfbZ4zjEggKvdR8GoRthBRd3XCcvGQt8dCtU+yMOla5fsq5ydjFRsofICeRORY\n63/Qw0CLHdbFvLUVO1JAplMIIY2ixRMmbZwq1KgiT1Q16U0AAMF6Va7R9jkg8rbAlTMvdYStg/Ojy8ro\nRHRpn/4PgjfNOwppdXnJDM6lETgw3I9E9apQ0JmhNrYWFG9H3bJ4oT37vdZ5sMycS904QbtBMBNRSkEm\nMI6bA+znwRtHQMBO0UrJsc4yrDG4QqK+1uXXxZspCqcq3uf7hjSGVkc8rFm1Q/savB7YzR7om3GOb0P7\n3CxEcqVQ2q8vupMqE1jXMQbfc3Q8cJY0uBued2IEcr/4auz/4sl0nbbdIK+D/WCltn0P+RVUBavWhbWq\ngV4ilBtQBaZ//ZyZMKFj8+4hGWo9AkbsfixtX2p12dzqqj7KwrLzvBvSS2aKwiFrjVevmwTzzRHkXdXq\nwvoXChXgUOzztsrMA7X9y+6GZ9S8sflmxoEQeAzXL9MFtpFhyXb+DzumWTwYdOs0R7kt3CfqRqE6Up3l\nTqH6S8Ws1h1qNuJ+HpWd4fk9XEW40jqrLnV+YBBq7pOLzrODyY26f7QasK6BCgFKw9w+bOVONlbtkD3F\nF0VVaqhSwJiU7b96nnEPmawlZ4445gAgKp7D9JPs51Kv5rwmrcmGjnW7SbxD4Gq1WlJkb1nzD/FFwUKF\ncqh2IICLc8+B0sWmSh+OVuFh2r0dR7aH68/OY0cKdHr1I5xhHkYsdrjb6GSrrurmzMxwsdnCYfXjTZRz\n73NeuIpA47B5hhOwJ+GcBNvHI4oTnMU47x8ed8l4dAr2PNLQuE7hC1gcd1TcI0i+A7epNDdJhd5Y2m1E\negbPT9RAKnlOzRcKi3ZrglUKUR9Wq50y/3Z2CjFXHRhFEiG2P4fuuZMg9iOBUpXcRe4ztiCdlQzFKRqG\nMn96kz3FHcwB3iEw0B182tqrwmGfJRYNnDJyNwqdq2uTe8yHwZnPILCNULB4HAXdOH22T1QDAf5HOD++\nDkJzuRnEruE3XB1D+8DqxPUDEKjgyl7rVcdgV+53O7lXHh1yPqm9y6o7yQpXHO8io8xiPZnTimm87HIW\n5qZvAgrTd6GIgnW8cAKIn9gseFBgwQ1gyVlg3xmOxutOTNrb6XAe2h9HsTsTl8GNtsuKYLZ+lPXsFL6P\ndrG7NqL9cV/8j6gWXW8tgi1/lz1bx710+A6oUy08W6fA3MIMErIFtEizwFX1kfsehguhW9d5aEhFH9SN\nwxpntrmmiAtx2OFhq8P2WYSUsL+BrkobmLkHVmxkiFIsFK6DLTh6ezuC79ztIBm3ExtVz+wU1dDZ4V2P\ncU42t4D+hmgJonhw2MBP8fNlidX8cMAI2Nu4iMg86p4hxlIovrQ3xFO0fXSW5x2ArH0PKiC1mHDj3jqO\nqHlPQ3n7u05hL5w829wt/iOqHGEeNg/6Pt9xkLyWG+taDhEXdcWTpnQ7iBxJa+BdbjfRQbUHmC9Edp8Q\n0dBbc5hSYSbZRm1ei2t0FGQMrdTw9OHHTZgtxfoYaj9ENgxBU+1iYCny+QvHHjcOFC6cR1bt/L3f+0//\neefuDpgT8CXdeR8WodXByo17dnkGYQQfCXPZBUGanc5BYgjA+tGxPgXduPa8t2mDoDjYLsy3dHx/m/fz\noutU5WYdjEbzR2dm9hGggBpI2McYPFqCCMDqoJvwmp1lRJdwLrnADIDbI2w0D9vkRhCNoGx7Dgexz0Oc\nhFxO28exjzpbsRFZcmabyDuYF1Lb8Wj84mggZMbSAnHUy4PDPcQDSie/IR5HVvcup5q6AkLzVZ+3rn3R\nLWaP2ka3UcwXej7YIdjHaE/ViWw9dImVwudT4QSLjgtWFK6vgiAN7cNFlyRYdHJWoCG0r5W9OZ9/gaCf\nF3WiY94FKTfLHt4DSmDVdneg3qBNMdqw+WgP0qVD01T/Eaa33c58OsLyWLzW7s/VxvZLGMXBpIGmKdis\nsjtw6ksHcQyzc3pLng53LuHSkidRvgHJmK3mWy4d0rh4REzLwpmdBctu92HfK8+5tKL4ZM/pUIVvuIWz\n5p2/3CwpllqEzoIrsYAWaHu8QFmwq+Tf9yY7XIxiVB4jtQI0ELzv7Z5xzYkGu/z45tlGtZkPDQp3VDW/\nts+Y2YT6qhPbNa0L64ZetdnRazbJJ0BoDoa97h1AN/W6YGr4cO0NeRz3tze3ji0C9L2zcF62i/40/jzd\nI6XsdTs3NrdYBVnxAaR5SKoSfTy2yV28D+e30NFLTqjcH/EdBFDW6mMzvlD8eCuWfMN3mYyG+THA5iUH\nUxRuWLl5U5Bibvs20z+QNnA1mOAiMhOGeSTdn/VguwvWYd9xGaXCet5sgmXZQcjjqv4eFg3tI5FLFZdA\nUzUtG9+35lW18wBrk1r/T+AUxPt2747rJe1glqRuClf1aNhPNk4uPYB5Yz5KH06vbfY2I4UN2oudDjbi\nwyUyvsgCQR+lcQ2VzvJ6uakbirZcIFuC9ebzqUBSnehX7EKMK23t2b11rJj3DzhbpXGs8Zd65SMT7Kx9\nxNmsg9i/5L9wG+jQ2rHzXECtpQV3N/39PV9a8ECfa4cV7rcWymx3Che88XS07RQOI3MRmZlZlYLbMati\ncDs2zLgZNYfr2u3G4WDz5k/6f/Xo6OZ7w8M3X6+gAAdlN4ZIb/60T5SYmZUexPfa3aiZzkh400dkGROc\ndlg98HEceLQ/1kW5Plip4SB5GL/xADeq6MGwKrEP4fxEyGZ886d2fdrb+P6ECqnqhsHWzetwy22tNwPo\nhsq+wLnLfQJx0x7CDqyR2Ec8CsHoEaLe9C8Q2YAWrcfL0JBRba3zhEJDe+vmJfoZ5pmaMcWIfFNu3vwp\nDN8jjJbYxgD1oS7lSrfoqJGwWg6dhDnYAmENzBDc156HSQuEQX2Be7Kh4fegpXvz0rBrrskjyKIMHikj\nMSIALquI2sBK4QftK3t24gD8pJSJtmMbJ4/7srImPud/l540aLz/SmrH1kcGJf6wNlLT2J4Lf1AXVXkI\n+PHQnIlkhdmFRJ4A1zFAmL1EJ/brEnFJ3M9THLZXr1JRt7RW91gBu+b7a4iy4HVG4GHXhL/BUFEjggHH\nHdmbZqVkeKsKRS75YeXQ4zEDRWnwNzxLzT8YeA/fvHQECQPF30aD0c2frsLAsPcfhlAya8pb+5WOKuG6\njuE+IQGCBoidCvKC9d7Nc0gSHGH/SMfOv4d5xMwO4q4DzGeKc6A6ckXqKfYE/GLz8+Ylc2AGiPSw30gv\nQlF4rDL4V1LntR2J/cTxsH4abKn/mUeocX/auwOQKY/YdVANEtcDWKVeqYceFyxp13BdESBblpqm9qmb\n5xCI7N68BBql62Ng3TGjAk3qm+cGSH2vQvPGVi72XbN7YC+bg4D+WUEkBspOgJ2TvG/nYanxh9+FfmQx\n8+F6KXr2gMYZZhfjnUAfajw8k3POnIMj1BmmDNgjkJGGZNSI8W6y/5RoAjrl5jmoA1Mpu+LyXR/b54/g\na9YuW6ZQPA5138aeyc6GR5ifuflWifwI4M6egFK8reJJwMqonl9sRJm0dWmLF3BpPQcgR9J/FuW38lyX\nzQP1T+nquxc+vPzRCSjZ4udHJz96JukA20/87WrC7334vD6XlHuhxws1XeoMf3TKP3eN14S2sK5zVfeB\n8i0/79ez/+v9C1Qafsuug9ZctU/wb3yWir03qMd7zVrymKsQvy9NY6oC37D26Oc13Omj42iz/YX7S//4\nPb3/0XfZ9if9/lehDuyqyW+7BrBUey+4zu8Ftv0t3pO6w/YNKAI/B0Vf/MWnPgnFZbs2Wo7ne5fXwPcv\n83v2XN4+a48+Qw1ltJ/tQPvwChWQcZ/vfPQ4++k7GA22AvrBb1u7pZx8mVd7m8+pfrpovz/p/fUex+eq\nPdsFV2x+lCrIF+xbVCu2327wiS/4uHznw3eoz/xd6hVfwjhR9fiS9981b/VJqku/b5/R92/4817wn5g9\nx9mjV+1anBd87RnMG84jKUVTs9nae5U6sI9JD/bWWaizfnyKurBSjP0pX79ARdTHqH77hp32T0vd9tZP\npK4LCwBarlSLvfzxCdd8bVVo8c2n7d0n7ZW3ocFq70tLV5qzr/PbT0Jn9tYr9u7P7Irnqbir/5+jeiyu\n8hg1ep+EVuutK7eu33rH2szrugLwo3wH98dV36QC8GP2qTPe/kdvvU11WWgFn4LGrivRvg5dXbTL3nsN\nGr1oqf18h8qy0Iulmq7aj1Zbi6Xi+5a1/JQ/7wko2H58ktq8p3i9i67K+1Mo5NrPN12x9mn2KNRwpXH8\nUyjJ4rtU28U330B/2GdfoUbxU64g/Drvfc566Br74Yr99bbf45J95zH1J3R8+e03qb37unRv7W4/DR1e\nqvNekWYyx/SE7u9avWft/RO3rvC66L3z7FuMyxlv3+t6n+rE0DGmTi/1d9Hnp2QV2mi94v37JjWbX/cx\nfRzPQ/3msxyZU9QfPo/fNC5f8P/8kv/3l/2/v+r//cIv/fKv/Oqv/fpv/Mav/9qv/sov/9IXfnPbzN/5\nu9v/3t//+39v+9/9OzPbfvMf/MN/9I//yT/9Z//8n/+zf/pP/vE/+of/4F/8y3/1r//Nv/13//7f/7t/\n+2/+9b/6l//i/7X/xD3w+y/Zz1/2//+S//9X+F786b/9pv/3C2zUr1hTfu0Lv/6F34i4lqKsYKBEhlzl\nExQr3twEA2hih0/dQ5SF4kow3O86dNfCMWowEVJmjgJomuB7otJBNdpo2dnVUDEvCkut8Bg3T87degSv\nAZIddsJhNj+DMedlSnPAiO8Uztax83qstAyTloDoDTyspbBF3ZvIn5Nmbw8xocpFKCCbD4YgNME8x1zE\nL410haEGOxqOmegH6IUZ/E5korbA1AdNCCByNcNzyK6sZh4g2EuMFCb4RHUMgA4o/CKmzUyaPJftM0Rn\n4/tIaVB46856wLzR5NsBvIz0W0NMGxzofe5YNoGkaLpwZBHLbkqqxIza5KgrDZgFQ5yVGRPELQDSb45t\njxFZV8NaWpDWJ6QLFXu02zCpaa21EbNmIP2LV3ApQaceqbpxiy4l6/rgjdmzEFM32jCfuW9T5wFPphXz\na9ayZnbHIux3Ps5mva7xKvswalZDos9cRimmUNS1IZsG0nxwP49UQrLB/UcwBYlHpA6QGJwonlinSDl0\nJ232IDatHHXdbFKrBp+pWGXdzLV9veoYQ/flliJv3QCiNMRtIzTl6mg2kdbWEKtEckth9mUyWPG+wMX2\ny0IEGkHvYfLB0bZ7OysxyszcHYXMH3kz9hlAOW++XtbNvTaxJ0cHA+TvSnncDsRpbIFQ4GeGbAbc/i6z\nZeF7gyJHFEN3v7kfJNNAMw4Xbu50nA8Cf2tjXHB5xkPs4VqG3hFABhVlxQpGhUB7p5u3pqr2jgWuEHPY\nAl1VmYqZgDw0ZNlgcD2/UPYkfkvZQMcBON2is+Cg/Kp7dyyrLTCgDvRHsyinwqDyuO98UrsXmzyjNKU1\n4wGbLMQOVky8Qr5aSnpVd3R0UECxoREpZiSsIJnrLnXcWSaHvF+ClqM8Z/dOIpbJih4qRT9iQhA0efgM\nCBJThxTcwnia5m44Uyt2gyUHSy5Hoty+24yJ0A0+6qII4XadL1c+E+AKMf1rbpJdnHn3TRKvmgBGzdd9\nYgkofyYM0P7Ynx28NG4CZUM5F4j/VYF3akiMwHD2BSgHYXZdQpucNZLdJVV+BfBmpmsmLgnXm4DdyTGN\nBPGikAIOUVJ6TXLZtm/Yvk7dFHyBs7xmxsquLB1OSDJgtSFES60nPCoAhVsbA0hRVpvWeVtVgIMaopoA\no9gR8WZI8vHKSshRT2pzsIpUHEn/nH7HRtoumrFnBT26jjS+0pBNOgP8XqAP1l3OKGsz2B0roVNuG7dt\ncYpiepa6G/CqJvLnM824UcbdMxjFrmarHuLk6kUufGazhmyHeWrKkluPuboG4slgzdoEkoSZNd4DXg9T\nra2C7LjLMGPvFcipi02fO7aLalG9VgNGAAQeUOLUSOlDPSZIK2Mc/V/xYGFBpD0lHTz82i176zhpNzYD\n4NQAk0JxZ2HD+xVzI+OhwFpYBpF9URpdeBinpBHYp8zTbEBFBE2TwSDx/B2MSq5uFIEW6e6MvOg91coQ\nqoZFJHCLyCTuIeQBm50tQOa6cfiCQQdLpodIxd6OZuYqlFxLHUD7HDBXyB6CusExpxrfi874A/wTWeNA\n2RSbBCjYUUL4DsVZ19Y02SIyuc1D7NTx4HE8b3PWxdJIsC1BUhxYtx/dGARO0QNDjXgqNZx0pSqZixQK\nEhPgCPa0rtR+a0ACPCA77wItsy5lByQIMhfWQqwzSi4mzBM+wfBTZOG6EAWmwbEztsiqjzECEL7nc8Mh\nbsAoLEt0KpLmhWvLVt0HPBxcxGm1tAZwAyyrA44ALIpBf6U3HppdN2Z2mQ9Yb0kLpKEWWXG/9R9ZNOXK\nQGaGq/s6vxCw9QpdAPNCktK2a/UhfkCUX/cI1SibrWMO/F/1jbFrRunejtkzHUfYsUSFRG2LAEd6lYvB\nMNBijaf7qu5BoPfwhGW3y4TUbMyRwkP0Fakt1EJyoxTa0fYc2N4PxvYO7SLrFhbNGlHdLVTdug7tGjZf\nQVgdjwfdAxJVtH1BW8vTqc6Js9YC8IzAkj3KSg3xEEJB1mGrHaUiNXQ4ji26kONGBfF7KDARLjoeRvat\nigRf146Jsi/dBt+akLurgQNlFQK0R0xkWxF3Oaxn4nsvCytA8MgMMwlYmolOSBoxT8JmNSJ2gZ3vKN75\n2E6X1ojGg1QGVjcEoSA/3lBYigL5NYj34AfZEVQEaoaoHAie8MSCQQ6LrxSwVF1YjPuuAWjr9DCFNjqF\ny9dFsquSPAs1pTcrKk8Fbmmygp0TqY6ycO1zjg5mJXaA/mh5aeGBwfCoHbIwmYku4jDZFue4Wngnw9lA\nUsCeBzJ74hrAEGcayUomdIvoBj9u5r1aAjZ8eTdDm1hHOHBAUGiUzWUgl1FcSsjVS7ATDOYVwXRKVVaw\nxctTyz6zrz0CiBRCeT6HAu6rhzh3bZKR5wZeplQpjlQgnKODKxdrqEfUevHMFk4wicZC9qLHLa6LShzD\nwVGqQ3F3By1LEhM23wJ/22wOepBMqRpi8G0Poy1KSxzymmRYEny+YdYy6XLUW6h8Q6M0+hZ2YaqNAo9A\nAhFZW4LwikEGBRAm9THK3FtwnX6Yl8Jr2sXujnOZAmqY+Czv12iKbtKJeEjg8rJHkXSMP/bMVVho5qhC\ndHgIk0b4CElbAS7zW3+0nxqQnWVHYRx0cFnhKgu2VVY4r+1b88UBaigh16ZOE+FhhBSsoITzwkAJFEVQ\nYuOi2L3JznBQZbPR+B+5MI6N/07BbNbcyEauEJ2wXo32k01Krx/jtbSgxOIyKVCbTnauJckpi7qR0gBN\nR2CBaapxv++PqHKI9J5gSXV19Ou1G29m/+lJpcdgZwSelmoff2ib3iNj20tnJeDQm9Amgzut9B38OuEx\nod5zxLa1Aop6RzRtvl4frrcwW2VdEFwiSbWJrI6jIIpY83HSRx7aAWSwD6XVXI6YQOMpQ3WkISidPcn7\nONuddh2lebviXMEeq1wvcDlSogdoj+ERDkn2lGRXblJOUNpsSObCgXEPdh07bClMwdOcNjb2KYTs2TD0\niiRyMWsxpofC7BG9ATlFbMKYPX3b99eBGPKEum0OW+CAARNJNXdKAvfE/JQyuF3w23Guo8VdiPdpKmLf\nKJ1i6aoqkHdXEryQrifkNOzT3PTLwjXAe9jHGsolMTQzWHvQJ23h0ke2lunf1arjtImDw8zcHtc54SsN\nzRKvhkI9DGras3CAzaVvBhZTVGqq9K3rXl7SCYlbJiTNH9xcF6CGWnOQ7IL9De3JSvVn+PVIkuMkH5Wb\nWyiwwb0Xg/LlIWV510t6SSA2q/oGBEm6RQnWIEZs0KcELgYO3/o6fDRngNMWFR750Abt82FUigICCcRk\nQOUdQttIh82+tT9sv3iurotWV1iLFSX7lwLZ6Mi27TPuxq0CIaejJEAJyyWJ+vZ7UUSJB8eZAgeyRhtp\nZ0DYXXIRUlITqaBQe2dgXUfTFIemNIexM4ptDhWAIamOzdfCU3APyPb5dTLQRhV1ALBEwVDUIYlNHRd3\nrfS5AIB0lv1ehI4rrFdJ9NGWMAtacE8A2oAuML1Ks3KRB4YNu38DEmA1VDvEHLCZSoQfNNqaGosZSXs9\n+0zAFBRDo4CEh+koIFOagcE4E6MQlJg4Agccuul2QagwHkY1A6xpkEOi4IBZuZA3A8i9DOjMktkRPWg8\nqIWb0NFDANc2mZkZly52Lb3RQLQcBK+cN9EsB4MoLGGHdtcsFTXe4lgg9YdhYkVb2N2lA/d6pPz6tgMl\nrKNeY4vmrqtU7beRXVmp0AW+bwRLpDmKqIjZhf2IVASVdg+19FYQ35A0un3DBeyL3TCoEBRcdkurN5GG\nLeYkdn4c2wHgLoLRRpYxmxpxl0JaVdCyqWxfQa82ERqyPWu4b10AaYV9pCC/tWGWWnBJbM6uA2UUJIy5\nNbPdGGKiwQDrI3BKSxCh4jaItcMadhIsgMVIg+FwBTKAGdGIKMJuwYYf0Z456RzZAx5kiS+dgwiam01C\nJhcs4DjEAzxtloxGYHnkCk6gQWtBBAC3CZ+oeyjsVYjqcauMQdkrNQtAinH0w8hxyVSorTSE+iemgd3C\no0QRo54kUO4qt0yIGHqIyDqq2ye/HQNH9awiqH4x3F8ixx7XKYu2CpnibO4dD4aSkQI6BuKGNsGLSDdA\nzYQQrRnZdaPusuyNgtLXRMnOmG2x6tYFlE/BK48g2AgidyizIGMAB1uc2QGSWlpy5YZl8bOtDYHT6QfQ\nejlOm10UuOD27hy9OQa+wWDmIU6vxgxyyuWqehd2LSdUzjEeLZlGQaeLiMHucdnr3mQ/j087KXBBye+C\n3Y4+wvTjUYu3aH4LIkgzzJUxoMPTpOFGuD08etQskRviYtMb1f22VMabFAuG1JWt8tmIi22icEEzGJVb\nQcMsCx+xu5AcwBUlH83T00tSqGCLNRGqyt/CcUQyugwquxm2p05Bc8NsElh56A3Hs9aJUdS4+MPqIGKe\nRZCDSmojiGoEJSCblCXZ8Kwb4ZBL1zStR1yswMYVAb6PdVFIjcZmiODxjmukuctYOPZdTgC0cHsE2Pe6\nUOZ8t5JdXQXqvFAwAbuEXYe1cJYWnHHinaoZDmGSihw8tMGWvr7PQhH3Hrr/PspCwHed7HHt7v0bCA76\nDsnDhEpkyOCFO1DsDPSqH/Tm+gZ/D5QbUmvKOJuIjQO5ei2SFD3Qtqq/fnlsx9hofKT+60t/9Yz9iYLZ\nf/Ws//K31x7726s/+NurP7n9g1dvv/jGZ2f/UoC9T8/9QIg9++X/ef7F/+vyuf/7hbc/uXr9k3ePf3Lt\nyc/Ov/zz8z9Arfo3vv/Z+Qv44pnvfvazFz599vjtF5/99OmXP/2zM59c/5PPTnz/5+//8e0nP/j0xQuf\nXH/9kw/e+uTa937x6JlPn7j+86ee/PnpG7e/+yefvfzM7ddetBc/+977t3/83mcf/PknV4/fPvfq7e+/\n+cm7P/z0/F/84uwzn7154uc/PvHp69//9I9/+Ml7P7r9/IXbz57/9Pqf3r7y5GdvX/vs+KlPn/7LT0+9\n8en505+dP/PZ+eufPnP99jtvffripU+vnrz9J+duf/+GtefTZ37wyfU37JVPT7/+6bnXfv79lz678vTt\nv3jV/v25Pc73HsfFP3j59ok3rc0BJ2xs7t08Zz7DAKYbJnK5UgK2jQzJmCC4augYsG4CCZp91RPMCbYW\n8rY2w92psSU9JsJr5eZ15HTJPhdaiJXaqRIg7wbBWKEHHX5adwdhvA2PhJOVkIQAXgHUR5kUgqH6MGbJ\nTde53MIZEy6yqT3ANRAzmtC71THhd+I63zxX1ps3X4Z9ESjZchjwqiFzLkBagm7Pm5oZd/Ona2Dpo0SW\nY7IEIhOZVrcgTg4z9eUeatU7/9w2XQdQNR4xq0vb/pGqKBvnbA8aB2VF1VrreWvMzZdXR+KVEBjpfVg7\nksxeQS+zV7Fw2NR4Ckd5E65GGF/Zc94LlRfsBWghULUSXnoJFac+6hn2H7HmV49EANm8/B5nSxkwvsbN\nMkyBIZCVfSDxXmYmA5BcYsTQZk6SrdK/FWjBJmCS0fODJopqn2RJ7A+85DaKjp9kYWwVBb/Kf1/lu5f5\n1gV+7ImoRK4i5Sf+9vSf+1v4/Bv89zVW7L4W11FV8mv88HNxneNshm76GptxJr5+ultDqWKw2ngJcDTp\nwt++epL1y8/wM+f5+2n+/jN+/QKLo1/li6ejSRejbLnu/njc4kJUDb8Sb1lLXuArF3k7Nen5uJeKlL/B\neurHvan45Ud8imd4R/XYxahQ/gILnD8Vdcpf4/9Oq846r6BOuBL1zk/xuz/gTc/FXX4Q5d7Vkxeyeu0a\nuKeiSDwHzvvZOuqElznHWy95b+MBv8NC7M9HJ5yKe/0gCrefZm+kausvRUed5IfVnu/FTc9Hj6nlN2LQ\n7c+no0r9j+Je34su0gVVEv4Dvqjevsi+0nx4IwZaj6O5eiN69Tg74Q027wxbq68/EQ17HK97XXnNZ81V\njc5TbO25KGN/IZ7iRZ8q3s/n/bnw7ln++2I84Ktxr+Ns/7Woaq9G/jj+1IdP8JG1gk7zxTRbTkfzXmOb\n9ftZbzDa/Awf4Uq057WYWm/GTdXUNzm4vJG3+bjrd6DAF8rHkOwS2fXtM/sDx1I8XB4pRVlMABZWZpOa\nxdJWYHOYWGPJNdhAqt2wVMa7UpTEFuZ1ab60azeufFBXDhBQA7WI7upwvLkCa9I2ZLOugfR5BLtTT44q\nrrIfJV1QIbN0vY2aSGgP/TygkFbNI6AvW9mj2fZbP72r+GiZPfnSZvAsOkVKYkfFRH2jFKjEq0yYmTiG\n0Hxxx9f27RwmtnxCITUIOiiSzbbQUf56SQ3i0aANvs0XyUisySDANxBUWBkio6H8LnU05W3XSXl3b+eL\ngbmnzpsbcm4q4Hmro43KIrtmCPoKidta2BpVp6q3DqURfAjFrEtHgG2VjFiPezGW83SMH1yb7cBV7hFL\n4ulr9rMnYRtV4INf+NWUVfxGwoQx/W8u06DbHzgldokRbF4F5Di5pBSF2qI3C9lNu8vezlIW4KRzgc40\nQ3meprenxOwq+wd99+noXsH/HWHQdtLCT4lx1LQYi84ZKRM9kZ0z1lQoZoh1PRvn8Bx1M0tfPcOoIA7g\nCN6+M60ArzCJFE6fA1A31SwLtUC+OmWgOqGy0ikcxWDndzLpFxJaZSZqj7NlZucB2751bNFdzS1zGcHw\n2JhEYnc18u6SswOYhhx5Twh2txL0A0JhUnqNcGLFOMEKjI3JxmQLo9GgJBez0bM7FqnSxRA2USNePRga\nnXjee9hD7NPAoHUoaLnlKjCujwG+wVjcvIjuok+RLRkpFyoxxW696flEmwf7BaQKDiPSPXDiaCKtro63\nNKwDOGxrpHOBI8nS9sOBo8ycD15LIQEkB2iLxC617sCcerWTmEysIseyVinHvtCtYvRX01zbGkMZBVep\netR+EIvYx4PVbAUY2Ao/nhsJ5yRZqWxBchW7G7tj5UFRXKgShx+sSq2T06BB3HaFueAvp31yZuYueqnF\nKOUJ4XHU8v+QjiE/aeSxnBF4u5u+BhmJ4HMspYyAwkqIGT2AAj6siLZSTQYa89BKqrrOCrS/HEkkxRJf\nC1IEqPqdhA7YPhO6KIuFY3TI6WTZYrBOqe0KIf0Efoq4FrSWmMFnSx2Ltn2mSJCPwGMUhSJofLYV192l\nKp3CRRT9ZP+FZkHVf4js+TFoTciYMlEPrIT5MeCDboZ6FHEhzICWPQZ2wOQ8VjQg4xZfZDiE8QxXbYD6\nZb9wWJGjEh/BTATgEYEJsI9Z2LKJKBsUHZB1w+Mx5klA6caXYm7YbuE41dkU1KaqKOYRTjCWj4cOUce1\n07ueZh5OiHTbEkYoduq1dv0eS9ocgkOsjXuBoxo24KNBaWy8SXgJc6ton+IT/YEdinbIjhZd/wOBXSl+\n1STGCTfkVcAxPcb9iE4EoG91kkJzEBFHMgWDZPszqykPsX5lmPgcpzpHb1VBaWozcp33bHZ6IhtjSbn7\nXQlbHIAn23N6vbGyh2tQPGZ4l7OPW/9D2s3sy7vTd7caxKNxchKZxRyK6KJ4IpvZeAGZ5wFrAdgGBhnX\nimsmAY6byDP0JssJRDigWjKUjRF8G7J3601iZlHce61QIYK5UsUj7B73JUvha/3AYSIOqmTjTII+1wo+\n2rv7B5EYJRiApR4eUuFTYu4oC4QsZ6ARioMRhZ+TygP5sILl2FW2p5vA7hGAcyQpVmsf5hfQKbYPKXvv\nQDJdWfq70OP5n1I2PKDLq5CcdHdXQV/YNLG6lxaSXXJHbcbUrsWiLpYCjrtKZJPALwn82ygajPUWake9\nyWggnV6issEBGyHcvNPFf789EzuW889hq4hR/Qg1hCrtBwCx89GWfc0QzzHwkOT9Vdkn63Yu1kIlDAI5\n6Ag4q3CGMBkIJR5KViSgjMK5rpTN4YpabgQ8UtbbY6GMSxYeg11KqUxBDjDXWCOO9hUCDRuVFI485d0o\neovN1VX3bI9QYquhKChLAEMdNuWS0hnffEU7P09sx6+F5UF1I2w0xPygFylCs62dkwgosU+XkwOSMP8N\nw7ZMkkSGp2ruSntYAtM3ylOOWTdG9FH0SeHZBUoxUmo6YYm3MaBAFIybp9g7q6hT2iKZXOubo0OWIpZ3\ngnUrjY9MTkI7F46GsY6+b3zMbDfrnPVQGikRxSk0sZRZQsatI2O4s2PRgRRHS6HRWMmdFAozv/Z2BJu4\nG1FjV+ix+eU7Z2/iEDR4HYMtP3XHaT9IzIr+g9npEnvsjMNUkRCmnUitXyJ7bZLDpNE6csi8beQqV43O\n35dm2BpAF9w7Z1Jy1BEhDPmDD0pQ4u/GLqqTriGqqOcemmBO9N+Y0sY+PhvzZTahghsVgsCukPIwzRI1\naWFC6whCnoTqKcRyy7OhlCOzIHhflZp4+vktcFoRWEbr5oiDzr3+H3Zvyh/jvk5JeQS23pqLDFB8mZYi\ndla7uu3unH8IXFZbARIqqCZDMVhA1nXlhHP9UihPDNaaow64mnfvybq/z6QB7I2jQ2Rz+8XKJIFpmgQL\n3Y19pzssj5a9td6gHO2BmG+NkjbEvST8eQvrb1RJGyfSXcm6XkENMVqqW8lHhC0gkAHtqz4J5a4iCZil\nEyIKgcawyrDDCdQHj7REDqV0XbUe5poTUxqqUdq0J2hYp333oeSL9+qYOQflOUC9Sy+Y2YFdngZTk7CJ\nrN+nIgz3gcWsCAGS8YIKqBAj0+VEyAuiIbxWd19atSnDu3mfwJyD4STBXb+USCuoPux2DjzNiiOovkdZ\nvrDLcTdobKAnCUtcMVcRiJqeKg0dTPa9K/lZx0DazE9dV8foIOFbKE8AAWZPSgvNVAlCS/jQnNdJ40x0\ncMfMFqtVAs0hGw6Z55QPt7kWGnLJsCxaclVZIJg+JEnD4eAdwIVQAEsroE/L13ZgV+RI2ctCSHvgQhKB\noVClVB4HUrUwC57oprJYq45CP18YJ80f9J9QyECzJGTE8j5UpWdptiJNCe0RFIR3TcyKCsc19TpSFGJG\nMX/k6YX+xz3uZsXkolpfT8BvKBsgHWs7yEMpJrM/WUEBIe4spytvX2ghBarEZDNi58NN0z18x44di151\nhb5Bq26L9Qmf3V/BPQKY0iQMclESog89nYStNMsc8TvMqYdSLMjOEy/S+VCKFUhJkDGFiiW8rQVeYoFg\nlaOsk7hRJWBxwrMTjA3Rn127dkEUbVCsg2WVPEjHDMAep9iKz3YBrLqNPcFOABLXBv3D1YR7yGLUXd1z\nbxX2qYgiLAEcZJRCNWHpBw1Xvah5WFpHqgTqKBJmq3B9SlhGUnpE/ERVQeGRMrOKTQLoPoGWQmFn2zb2\nPaIiYV/ZRHX9O6CPaQMhr4MCE5LB644rr3Snks0YVVhk0vIzWwoSTw4TUzkuLy9nrx0KktIc0lmyn7/q\nap1lX4gBkD/uTlbBYRtK+XlpXQbzj5GxSt8YwnNdB56/aRmZ8IVq81uHVKbcqkGgkQYqK4b1u47qK9Hm\nLi23wA77CsDFV5MPAe4O4khmbbpHD2tki1qU8mHp+ZRh/R+pVNiZmjSusdubyFNCqMdzctY+9uQqWkDf\nlGNEK9Lszmpkq2esdcZjUQdzcj9nE51qf+aHFo5y4AzjVoUiDSO6bTZaLtkUsAtMQV++v59grzNel9hG\nFWejIouhDVSUnSJoBvfVlfUFFHtmEvJOgHGiETTMhGJ0UTxXQMhKT8ldXuXEhuvjyrEktgRowQdQ5I7G\nNXfpaQ435f+KSTHegiITELjr9CEUhRisJRQ6dbDlp8wnFNmdQkRw9K1XWFg8sSpZkJS8zKppz99gpM2v\nqogzoJv9QnXBZNDvPOpzUvbAQYL48eRuD9UwRXx27mHdUBRwGHg1FKzXB6qjxf8KWFwZZklTJ9ZnN52r\n4+CNBjbHtg4AEXnAlhEBP1IR/QcRb/Fwqfq2XwAoe/xgtcIWKbuTg4SfOLaYZZRifTSBIyHcUJQOmCw6\nrZKlQLtzBB8RzAbhuOaKUGMS1wLnfoLKYh9x0UnX8Mb4AhvC430hRSHWq4i3M0EjH6zqydKpEgG4AINM\nOxzkHJNYmdnAe80gI3CVw4WKcTVL2kH7RSBx2AcAHUBvkWsVKx5I4VQrT/6M9pzxEP58KIZysnKPdXAj\nIp/BNikSqXouMjXcqcfaDwivI/Yb91DZr8TQbhJIrbhL+y4QxgIV7t61i9Bp3txLmAUmhgrFXjEbG/Kg\n8FsnVgOhN/fA5tpwzDBqFbqSemcZVbdkwkQUp+y5H9Udb3ohOSz6InY2wN21+osEb04c23kkJHaS90Jr\nrlfaoeX4InvsbqLI91RKryhHUofGZUqWryIIC5vwQMUGRHYUPl4oZj8Ei4HAmTyZEjI1eeBHKmHnYGM2\n2G0pB69RRpFNL4VcwKZC1RTMAWhx8soofk60J9AHgy1HQQqJrLXPiVr2BaTGOcNcDAOAybpR4USWsFNc\niqrEE+JjmRiCQYF1wOLjLFMqwhTeXRkGdN3jrHAxyP/gLrrqcTgW7ml0FZ+TUnwV2AyzHdVtoIaPmdaF\ndoAKPWudrwo3u6vYXW3i/4t3ppjMQgpw4CSBs0QH0jMSC0lVAMVmZBeOUqzAds6RbS3D9Y1ko28P3djZ\nNelroqCj15tlhI+2yvaZwryEUtGmFSHxYYRAI90pQapuwBgjMZKFw7wwRvtjb59rCSegYKN1VP6mqTNu\nkgRB4bhV+2U5nWqJn77kQTOUvkMchdC1eZX+6ywsQOncc6QUugPMMdTe7ayFD7ZaOutRCPpuEUDDfso+\nSN8Wyod/85O/+eO/OfM3f/Y3Zz8+QZW3S//nMxBQGsKthL9fqcImdxrCcxp4ao5ooqqZTVeePXx3vFL7\n52R71a6GRiRNiwxq0s5aqfYFXkuoLrA46f5i7jswC/lGVyljdIv3CAhvPWDVFd4tuGb1gHoHastgxcFX\niXZdJfBWwwgkvtAoH48dOuyXVLODalrKGDNrbrYBziMp7+spFQuqUcurZ89jr65ApxCudyn0l+BWqr1h\nbQ48WhM6dKD9OGipceZf9UgZogpV9AvgV9b8m5dQdCGJS6DeizXTbJ1HFIusmXZ32Jhnm1k8JW28a0hX\nSIENHAlprIWsQsUiqXRZqFd0hUpEb0ld6qOT/hp+uwgNpg/f++g5qihd56tPUBMJulNv2c937f3LH96g\nHlPSpaIq0nX+hI7VB9SZejepSV1q9aik5MS7vBPaSR+dTO9CA+sqtZWuUrXpCjWw2FJ87sOXXLvqun3m\nbVdKcoUoaVt99Jy9Az2sR/WUSUfqmitO4Te07zj74D3+K00vaU9dSwpZp5IG1AXvDehlvSfFL3yCLcS3\nvM3WllB5wt0etZ6DwtQH/rxv25Nf4Hevxm+u7yS9LHwPqlTtfdH6G+x1tVmKYlQQ452fYF+8y7/5XXvt\nUbxCJSqNyLvU/pKG1NvpOS77qMVoPUH9q5di3PxzV7MrX4unpuYW34Wal/Sp7H4vU6PquiuOQQvrvQ9/\nlO5xnSN6ydt7A33qilYYj/d99EOV7Kr0xzCW1qcYN/ZB6r8bvO9l6of9iPpZ6JPTcV/omaEtPlLSJPsg\nZo61ECphz9nVNJbPffS4q4edtG+e5DXepsLaBSqLnUrXu/DhX6TeYFv4JDEjLtiTQ9fsGY7RBVzLR/k4\nnzY+p3l2nb+7qpeN+XuatVI3Y79f1W8ffdfnxnucR5c4d6FBxvZRrezZpFqGsX0fT5Pm/Xtst+bu96xN\np+yqF6GidevsrTc/furWqzgpXBVMP6Uhdg2qUFKXku4XVbhO3XqDylpPf/wklLbsc9LDCpWx+O4Ve/VV\n6lWd0Gsfn7x1yb9xzfW4zkG5jApSj/HEOovf7N+T1iqodb1J/TB8421qT0FZi2pW9u47dv+n7TdXCbMr\n23PgKnafd6CqRY0yapndum4tOItv2TfO8DXoWulZoRl2PvXG096+t/xzJ29dtv/aM7Adp5KmGvXP+Pmf\nhR5bPBufxvuN6mJSLXtUuma4EpTU+GzooTf5PD+l5tdbaIv6FIpo9hoUwrwP7HlPUnvrcfvuKbZGCl34\n3GX25CnrobfwROwHqsDZ+3waKYlRse0MtM3SKOBzl6gldgpKZlAdY9/jjk9JzwzqaP453O0N9YSPtLXU\n78bWuLKZ971r0r2exvgVzAyoxoXKmV/lPMeS8+/Wa/68JzWKVFR709p+yp7/9VvvoIcxE601j3Hc3rHX\nNcPU55rJb1Dp7G2Mu/rePvWmK+W9gxnT3Dk5VK5DFWlWpUaYIdzdghbm1+s1f1XnMoFvUeVaWLieO92d\nNguWGGMw/iXyZaab8FO8WNU/Ug8HRKd4jo2wGIRktwDIqogr2uyWzcZiYpWDFuGpxqUFpcHpSSJm5ulu\nT/4Haq0aMcjMyP4Gi2S32eg9Saars7yrBfhUEiGA5+AAHwFxwF316K7EeWqVw3G/e59HNAlrCmgIdYS3\n3IusRl4veXY87M06/GITT8F0SCNMz05ILdMJYUoGZDWa/HbdHW0kq82zN/NfeejL36LG1reSlTSqlLxb\ngph2m+lZXGqzJRtmKVl3we2ambk3aJOqFyOoJMJNe5BUXlwdJCSj6i8Xyrybiwqzfm9HohpsOsIy/1tV\nwipPQiVVd2tjMHKRo1CQQdihN1psxluANirxA1zO5AGyo2jWhy6Tdd9meUz8vb2dxhrxiD5xVzvcSWWq\nB/V+F5UplhaiZNPyaIMRvpV62B1WSe1K+DXOM4xU5Bk9glVXDQAjjWf8Uqy1mdmWPJ0WKdINxhv8W1ci\nQ2jYderq0OkFnKD7v7RTro2BLzLYS1YyCM9RvoR9pjhpeP1ruKLChuZ/71tbZz5ipNCwO3P32+RCZeTB\ncLYxpw4ePFExfXlsK5XKZLkgBgUVShasVu1au/FSCy1iZEWUx5olQxlCq/tH6Ghag3fMr2uKz+6gGU5P\nq3dXhYpkjCt0Wu+wVpCZnXqsjHyrqiv5qwh8aJG1wQWFI+jkRkUQ0ncDltOspFhlgcryvsjuatdQ6FbZ\nyppvAUACmgqhmXCAjacgmfJ2VBg7qj8pFAfqpjhTocJLij0OCA9AyuV+lokokDdaagGu7b5j12GZbFwi\nGDLcQIoQcwOdoy80IiNJClSFM4eKcR5XAxMPSXn50klvsDdhbUGbaP3RZGeb7IP4ug+syrRydqD3bWPp\ngRs7AJygj5lIMGXN2IDQiAQ5fdUmS424hm3bRcI5OSQM01O1JDyBTwiBj3G3EnmTkJRmuLq3s7DUwhs9\nxREiLT5T3VNFZn1pISX4onwi9oeaalTiLZMcSDk4HFSrnjvwfEFVqEg1g4HzOtAeABd4fVir/l21r913\nUgVLwJQZ+yb7UVE9BtoSb7aYbSHY6F9PurvIzu5du34bMRTXvFhqIQ+keWKU93Z2zCchobTmB/0H+5Gh\nKqJgH3ITrkqEAPRQ+B3RDbPEgiJn1HrqlTEWAaZoDrTHeMDSOX/lsbMsZ8GdnSiflPFuN67dbfS/UKkc\nXmHHoi1STfYkCIIah1B+Q2n3vgNIETEC0rmv7TOhwjvLLU6fwVcv34QvOL7ht1K8ZXHr2GLhZ2eUwUOk\n0XMpjOduuj5Et80LFA6gUza/GXjIemnjf45h6VKuYlV95jICK5OWfdDyQbEFFZH8PyqBQcXjtgBJQ4St\nXP1v49oPVsXDGNxlxaKxUIvCn9iv32RpDWDJ9sQBUACNhEg0EDFVy9XoclMAogeoli62NereJCB+cM44\ngRJyfT5p4vUmB7LNfFSE5qMT5yaMnZKRD6ihlyXj0wPrWBKErmJ2juhWKIbQ0WHkzrDe7C+cIBgsT+5y\n21SsEaFxV7QpKblD2yeKeSAWmlCRBQq9KDjdRLVQKWR4l6gmHKT5qMaRsmeVAM/U6yxT3DMS9GYQ2ZSG\not8A1aFUbVQAoTWvLcQotoabPFyhK7T5s2qFNTXwOs2AN2XTlTIA5TiqdEIxh6hcUuij5g8hOyyWzn6Q\nAim6+sDBB6NOEsVvBkOA5Np0ViF1EaqJeMEuipTaR0NAjYxlTss9SepwFhOOXWK2sqPGYyeQhNDCw00U\n2rCLBSEakXtgvXDnNi4MaUc3RtqjbsZj05hc22eiCM2Sw4IP6dzcqrXvALblibkomwn5mEAosFicK3jQ\nIOoLfiixQuVAieYS6GpQNOWEg3B3a5SVRQIihUYqjroED21ci4O6PslkbaJqnF3hXhX6wmqKbDxTY5IE\nrXsTKaII7hpyO71J1AVDmhT+QElc5Zrv75i/Dt+zr22I6iCwWUDCmqjcaustivfYwHL5yyhrNrB0RHEv\nJVUKESAmyfhy1BTDkiZIkVmpTgszJqYAG2izhxJ6+prNdUn/bVQtertweVzkHwY88ZnvpcZBNJ0VX6WG\nK9AqsrsuqWbN25A1CY0NO8oPeEG6Tth31qp+yvG2YElOGCdbzMxk9mSSTG3PniVxF+4+QsiaSnXZXTsF\nEuiVHV/fQJnHWk/BsmwO51PRJywaZl5rvrO/PZ2CG2NPoUQVp+f942RE4pBCqsL+bA/LL2FH9w+49Yq/\nNutjIeSxUo2OVhLPiEJvmBpJaLqXXNojMGICBBoJAqJt/cw6Ui3cdeiu4r9AFcDFWgnp4bLpr06EuqNW\noH3NIWJYv93WXm8T+kU4QdbQ+aQ2UFB4QqbEvtZ4wh7l9X8CYsVThKrUwJJx35Q+xVzr+gTVxdr50FRE\nwMl5TaiB1i6WoRuXKys4G5SWXo+IQJNyREXrjRdRDTXsVOEzmZ+XuRhgbx5fcQbvjiLe9rV7200X2Sov\nu6qNnhMFZYKpWzR0S4GbGAdAULUWY54BnRstSOpywEwi1G2lavl5dtcv339INeD2tdY2DGi3Vu5OIYM5\neoA0KFPdX9wL03CFGWHNEhDHNijWskFbLNhY7rxWQi3eT/NWgEjATryjEmqmL2E/msMtspJwQ8/Q22ok\n1sKOoAOtPRloQsrwoD5iF7sctjBP+CW/+0jG5WuKllfKvU+nq2YUc6qjkLyhfU+hiyrnH1FRppCPxgdy\nCNGGsuAUdENqt2ZZrY2EpliZpDEOwhlWuDn2o50QQk0l5My4cEsXi0Dp6xqcwEFrxeOcA0ig7CocYreU\nGjHFA8A5EboAU641OOeWFtLJWsk/p1uddpjfPdD6Fy1DtKEPsJN5uvkiRUaiRNdog9qObrWJysTjK2pq\nQ0EKgGQZcBnT0faf4OHwFlp6XgoT452E0UEldpE9a4Tz4ezSVLgTlj5EnmVM2+olDoBF24I6CcMmUE+K\ncBQlMYb2v62tOinz91BTNSo4r5DzypZRUIgz46j4BOyAzcrMT1UtPhScEHMIEnS+OdS6RgGio0KPM1KR\nEk6zpOV3NkE+Qs67TN6inYiYWBTyUQ1llExtIaG/n7BxdT/p7lddx0HCUdFPzp3E+iOMjdoWdt37mUOm\njRJywhkWDEZ64xqMNmlbOmOoDpIOl0inQa97BDaXamdjX3ddTOIZu4UjjQha0zqBzF0jaIicE47bQ1So\nYN1takc5L3OU7D4uaSwDILILmmjQHSRJj62jCqSEN0Mo1WyuA4kRNNdCEJsR5YzouNlMDSMkxeXKXgpq\nlr2UIzY3itpJNp05jUBFP6w5SYfNRjJVmyjK4thmr9/sGazvNbsl0dwTF/7YaH/iGrqIOLsNKEXINALw\nSToVQcktinsminBgT7XmuI/C7qQEbRmoDurfbla+DSqqxhOnJelBmAsWDHZ6xvDUvzSbGx5cOHAchtSG\nKhZbKv+cHHVieKwNh6tqS2McTOcGG2DBGuiNZjJqgnT2uxNv4xV1Mm00GXAlCHPRMbhYUkKeMSrm4TSU\ny7QGQTwQUyMqytKU4EQkx9r7ARBlwkeocRtVyP9bh3UORLIblIXQGgQaSZ2rWAB6S5CH3uTuNiexvaW/\n+BDadJhbbg3OXS2nArd1GUSH7mOMgsngjq7L50T98SmgIxC0UJJ3AKFTOZo9fTsxFikRuEQHtICMOWVd\nBRKV3Ye1NYAngJllHppgXDQoeLgLNuaUcUyYKJqALiFUc8CK84mXVhyI+P6IHFMnqCbtWrAMtFXYzq1n\nYyy9XtPZimC7bQprYhSVNvFHClhtn9kmt3v7DPrXT7I1gerzarnYXrkuaPA5R4drflAk21uhCPbZUXm/\nOCSGCQhJn0aJiSFr43puRohw+N3ALzXyg6hiSJXAlpFRrLZnVsjmYaGE+7wji9MUFGgc9B2F5d7vEmsr\niMHRKmjsCWgodAhC+c3OYFQ6rFeG9XiTDHkddbUrpNqShqqo76ktAZbxB+DmUJ97WAX6lAaknjVKYmMT\ngxCgb69w4hVxCcWMutU9RQC+u578IXOWWVUZk1YxLLu2j/rObjlJqv4gTuqABPpurDrw0PJoU2byybSO\nG28MEOHAkAuunbTxvVYE1d25Ban6h7wAjB+Bt461H/Tvxwp4ECcRYGRiYEZdV+s+6EQhb2J+gSYtKxyH\nZ6kTMk4ynbyMD5RF0s1G/3obks5oPXJyAfXPqZtHUwhT3adBoB8ZxqL0Rrt42bJUcUeHj6MWA9Btn32o\n9ZpVs8NXS8K6H4Va6DrZ8SsTdY3D9h1+6spcjiLeAhHJHj74/l69YyTyDW9FMfBeG1Wb59ITcdAlp2GM\nhC9WiKwC35QwP66fr80fDI2EKTQmxIF7kWlbawUB8B0/x1MZDsDtiw0ImBJRyqrtXWpvelSGmUYdgoM1\nYVrd0PLYymiw27rgbttUgdaUiwrjNKmfIavsHNBCO5jmHdVTld7xy8PniwrCFImtQvTdjULuRt3uPVIZ\nq2K336i3uC49lukBQWVSw+4V7pgShkp92292QrJ+NmcJu5RbVJEwuxvaaUU+jI0Jo9mLCFDSosGkdTfB\nzi50KvxXFLNIxLjSoz8cIYeDKvaqCHLdD63qUXe575ZTLelpihdDRjGp+NADZPYlZZpWRn0UJfeOCgQ1\nNokNGVRMgyk9zIi3rDds0JDlbWeJh8jus13QX000ShzCDZYlRGnvbkMnUYkci6EN9bQKM3Ne+2DoC8ct\nLApoKlWUYvHKZ/HIqfvAYR7WlgULzwsXj6LMzh2ob1ogeEz2whrOYJA2vPA1xqJ18KD90/d+kK0iF63F\nx7eaQVQPdQoHooY+uZbjhN22zXlX7DNPgpjR7IEwirmatyM9Prvbw7EbJbXM/qTVcpiLQixj1J3ZiogA\nyE1eMwQKsz4EbtaFartYEBC2OewhRfD1EYLv1ctaVAVqjdMYYf21rsrjfh0GliOycbf72ohACuPixJGc\nKpWDm9jBsSZ83GCHx5TTUcuRl63DuevxKkxWhU1IHFESgpOLs5CGFf8RI225dZNo/evXUVKsmovKNgUm\nbRmlj0atk8kERyKbhn1Kjku1H9t/CtnasFTJhzzYWvytvtOcszSEiw6tp8ZF2OnlU4Cf+5kI+HyHpruT\nV0Q+wwQN1gf6zItAmXmQYCI4/b02BhQcML+5YrnIjjG+lR6+ppHjdgmWk1srkqfhesMguEyBG/kQrW77\ndAEfkEzkxD1UnGvSzmXWSziIJHnraXX44f7ELnQPi1g6E25ahpjZPFcsFRBkG03C/IpcBA0SGadaklAF\nhqPb9+7jBwhN7iXpWTC5FD+zWQ7D2EfInwKmz+bnU8lpl/u6mnOojWipOgONp4Ot7x8aN18qvsV4VMEA\nTJhATIZsRYBCMjPcBoMXQtcoES6iKpDsM5Qc6SlWDPeFIhRi//Qpgc8FYwYkNdn9SfqDIhJzrsjSKMGh\nIKqdItwtUdm+Iu1hE9z9BTfr4LS7wwQHVuEQ9larfjZHQ1YuDT+rIAWnUV/V36K9qD6SdntxpzjtAYyK\npVck/e7NNoTvOzh8/1Zmbo7y9MizmbmVtu1514Fo8ohL3d+WQYRGLWvHxbqxGJrkMKWEF2I3KXXolfjY\ndNvUPWfpq5BdonMFv27LhMJQVoEk3a7bGioWROuC9S24TyIm22C1eHQaT+w7EmzEgXYOj1iC1tgelvP7\nnaFh7pHfQlVxyp7LgzB8o4gL7mZbNQI+ZVteS6F5VYorx326BNxWjvi+48AarMnETJJn6TZXypYcHbji\nBhMn8lZh4bWre4496jIafRp7Xp7B9+p5J/JiTiSY4+okXEVkPQcF5HqUBmO6V/mhFDTjuuj5cko6JMqj\nI84ygDz5AYnTRE5tA5q0RezyjC9X0LRrtO8wWeyyg9zX19O5eahNnrORipM6KZflSZPpPufm+NdVCGni\ndOimZ1O1/1fPQog+sWKaEIrrluo+UTxa0d5WJxIpl1UGiG6eKzV/nSbTDzZLSdiFCqarH1A7vOWfNEG4\nAY+QRRR4LAIMUm7WFCSr7OpCh0QFKd7NTfcQZeQtWgZOIuNYI+GxIp7dLbtuWuITq1DO1S2ScK/tNmMv\nL9/AHYVOL+V7EzemkdzPqnNOxt26FJGHcAG4htJ+5AdslXfNFnq4hPZ68IqagedK2b+eTIVMClPNa/Zs\nYLkN1RxEjs0awhOHfiR7En4WB4DerUZIgFto8pCK5JgbRbb4a9+2gPU0FhS1sZtAXCzkvxnNkOzDnk6x\nJymEZQjfBuHiqI8VpRawoywsJKGmmQdVE1ZYosA72u/QrfNUxZ5UuNNco24FdfWdDKdxxwwtswxgGj1I\nPGCbBZlZyMKNLpwJAuJskeGDsvYvtACs1Wph4ejRo/Prg8F6zyvsqM0YgbCWsyy2Ys9D50XS4VOUUZnN\nSl0tHBLAtnt2/57ZlyquOIFwXjQoA/q12UviHNtsnlf8ERYV4hTett3/Obtm1CixEzHLf3e/tKv9zM4M\nU8XjGVmvFRuv5RYEg1I7a95BdyT5jjt23DNmMg2ewhxxEUc8JJXyv3sRRRkM/QTqQujbfTChK2qvlyre\nMIfbDixn1zcsa1Wg6Am4923A+qGq328mvSPWAeW+1iyeW8IouyYfkMMLDh2GSkrI/AMtYkunZz/LFiDT\nm2SItBmHHwlondCeZc/ciH0h9pXhmJoUCK+liRVJvL1ZJNBLWqtO8Xx31EUlHWtwqyBZ9vYP2oG/Yy6D\n4UQ1UqDWUhodZl3biAwU2WRRx91l0arKLLWU1c7ddnitstx1XQrdIaBlhrbryt8SSD/pg9oz3mWf8UY3\nWb8tpWJqNqapzDcOHRiia4q2tJphiKq0RkucyrNfO7gDfnS/S/9m1sFGyifOF5mDEWiB1aqToYyEZWea\nYHE/Y4dH6WkAJBvRvWSd06Vx3wTF1jJvqcr6ZzFL9T88NjM4JBFHbojZ/MjTOwegGyDDYi5D5/+O60o6\nfpw66gryNEUqpT3stNq8CYTuSHhQATCf/VWx5ROP1/oT+4MnHVr1YmAlN1EPW/fdKDe3fF8laWJvx75q\nxmewbGn3O9qJEQkVPBqOq8WDZGsvLNz9gPU4xsWLrUhHSkk1hIljr8jQo0VSebP5sz9rQ9Iugbbdb/0R\nSsut/dedO5e/3cb/Z5LrwUruCTQ45yWl5Ck7l1xpZ6ZmOTiyLRUVnA35BBqK9KEJpB33W2VQrNtU1CQ0\nF61PsnOkSKXMC2Zn+zHumZO/EFgJNEg6R64nJnkqto3nhVfbWcqyzF8e08KVW3qEgNEeQrsewI3Ug1xJ\nW25zM/N95EPpm7SAfWoFOrp0Jsd2KrRkm8PWsSJLUexO1cnteTO+y+5NAODSmLbnI2Ez7ouvMxyouLN5\nATgLVFo3eD7W/q8kJe9O0ccypoPSNC3McLW6M6qo2+eXs2hidkzNZMNYJBWwIkq0aHfBZhbo/mwtmKPT\nW4v9OTOGi7gVobihF5flPiZK7ARpwXzLEVygHmGvcNSl0mt70bHN3h6dQa2qBlRtkb5UyZYknkpHqkoD\nloNnU9Fte8Kv2PHWuAP+ULbPg/8R4haIYe3kTfYMs6Njh7tCXF9waW27xRxGVjNJtKDcH4qSEybQFEkD\nR/o89L4XsshDwSrKG3XXJsGiDaldf4U4XO11UsJK9bsxLgjgu0OK70dl320ZO8qr2fLBAojESp0ANyhK\n3LCQfZ2qjqqaj62TBwaoDs6pNJcxvZqZba3Pa3t5CvVULXSOUowh8jtrLm/BGoY75jtFq1eyle0z+Hw8\nMsfd8+Lb2nTOzEzm2COQ1gsNuRYoWdzrWY174PW2Z0STwey1r6atGINxB4Z5QXDOUJwtUiiZ09RDHd9s\nYVB7soBikYW2Q8aE5zW5GE4OifrIVR6ftdf3FS24NYMGFxlaoSvUltq/nFNalKljfHWlzckTWS58TxXj\nzvxqBJkZsul2qzaK0TLUWlpP2TuIEjOj4msolmJPHtZH18PSvHufZVuVC6GGTyS527BmkdEDmwN91sqc\nY862vW1Zb7b+DiRFOP0Jn0nBIchKD8Jf2MpyUdzkeneOV/Cd7IDMgnyFPH4upe6wjepKusaa36NASpFk\n3Q5kthCNON/3MneqnbQFCvmm8RpujO0vlT6m7xbnl3+eOC8Ge4aaQFnctwhFMyom8TqEqTTsZ29zOaxS\nAhC/B+C82WS5TZ0XhehKgMCzkKUjX4G+C5iyDWjClzv8gDAIrhFnfxL4X0n94yClKrHzl/3Wk9k+E9A8\nh7Wk6tW44AOeCUqLdwvbK1wL7cOtYh2KGJYQ/B83nuYLvBQ0F+PMZa7WnzcyRggV6azRv23cr1NIF2mL\n66g/KFLebVgFRbQ3iX0Pc3U5Q8wzmeY5OX4x6jBmNljkMJRFS0BAduYBbJu1AMSsy6AQHd5ibUhPW/GF\n/ZnfkSUVnGuo1YzbcE+nHrMbhwx/CmBk+++x4KjiubLtqsjOMuXpXH0WdkbhuSOBeRQCpgab01VS3l1n\nDWOnKizo+SumLomraZCQdb4Pt4lUq3TkYCFPOcxmftyBUSsWiIxonL/WLC5x2OHKPQlhvC/zwR1pyGmc\n0faazIbpS1tM7UylhKEcRV/YU5klGVU8TMzaSBpBR7XWVwa97mLSlmNomMXoCRdKRCXsaS29rlatCUU8\nWFq2+Ho5LA4cGHGFUFy1iXUs+1nznblKV9ljDr9FqHM+R+iS665h5LeINYi+bm3pFQZTI/q9P8VSVJgV\n1kQ3fBM/C7L8ewGF6MIdmofagHO27w36niknQCaDb5IzE3uLvGXhXgKY6Kg6ojYTNHw48vPLq8wr7LsV\nXAo/W9k3bm8TrZVx2YOLyk2TmSnfITLwg6tUixGWimNiHdnsi71xOTucEuPJ+ZVOkW0yOn3TyWI7Oh+J\nF7B9tfVZog4EYw7MoRWcsANs8m5EuxpcZzTY6iRVcCJf2TXUkc1icdtDxxXJBrdbCFdQ9pp5g8YriIxU\nhDoxexrVNIx+9sIjyAeoP50c1XL6uB86FZA+msc9RBWWn4UGBJAy8YXsatortF/xrK9CB0+1dsOOJYK4\nHLKYZuwdPEN9EaSyv8wIJrJmwxyyr03zpyBi9uBq1fqRyAOE/hrmUvgxWJsCsmvmMKFwNPzZ4Pk6xtiv\nn9G9fJ9UqQweOgm+1QatMrd7Bp+nBKm0ZlmlPUu8cEtqUCsOzs6uznKrOS8lOdWbJwFAFWnp/9oDuMyB\nA7Mi+dQEAj+0svvY1UNVHRnCVVkbWFQpe4xzfFilJCzWW+Tt60wFPzBy/ryjWDuwV5EEgr+QAfRndHXF\nEAZRLNl2ISAsPT64l55RQhN5lVL2VTpz50LRj+uoAX5OZSmaLM4T9P8Jc6N22HqaOcrTwhzpJAuG9Uko\nKqa90ZU0PWOWUDfZOZVUH7B1+JpFABqfl9+OYjq9NOdtfyO5GTHG1kogLHxTBznLpidEzlHWdNfaCIwG\n0EWOtyURvd2HocY6TrlV71su/lTI2967l/bkV2mXBuNRMIgEQGyCeY35wOhwJepkyuKOHP7kTB8vTEub\nAP1WMs/vdHC/vtYXynGs+xpXWzNXtRHaQzuYMo867LJteI3P48aH9ljt7SG/jSPPmRIeQWljkpmdOWR4\nxg/2QKajPW21gc7yV2HRF3dvAtod+XjtLUVkF+eSXcRsfJEkktE/3EbqtWo2ozkvZw+cwQ+LKkH8zSYx\n0yf288S80t7o5O3+gHsOFo1so9hxquTg2HgdaEFucytZ/Ed16rWeU11pWJUCNXE/2WTFCM+1al8S83A1\nPJPeBMIqJPQhhoZRcTj3kXpVvWkdM5sFslv1ZuQp3M7Bhhtxm5L5mtQtXLP+ZMFBI27XOSqc50PN8aNg\nfgw2E0sExIbwf53F5GdZ2kPmWe9sNArNb9jhjdAKyVedC7oPxmUkyDX50GE7Mc4TFcbF0S2oksB9QzMC\na0D7pHpSh/io53GAUeAswq6XtEbrI7RqFzXLSbe2XwL3qsy924ot36mp6BdECfK0lut+kotQ3D7BukTA\nGvl6dxCUdZk9nTiwjiVykMskzmpVXhB7+5AtIu1dOvuDber7zDjitCUBXW57ExVcEzydDoW2H8zOaqoE\nb4MUNuLSA6/dHLkGO91lG0NzAf3T+k0HPYlNiDvxhLI/M+2f3Qv/x//e/M637P//YWG92vFNeAJHi+rb\ni26T8CwHISvpZAeiBIW/NwaJTJPoLfCDbMfcSGeZbSGiEDbbMgJQYqcn+0d7UaajBJVoz+P8wY4qy+l8\n+CL19S5Rae/lj45/+AHVCa9Soe5//P1G6ItBkev2uVd+8bPvf3L13O0XnlBVaP/92on0++0Xn/rFn30P\nxZefu/rJ9eu3L/zx7e9/8On1F3/xww9+8cQzn77ztv3v56dvfPLejz65+u4n1566/afPfvL+iz+/9O7P\n333JPvnzcy/cvvT8Z68/5uuOaXDriaFgBlFbBSCC1YHH65Qqty2ScbAua+MOAjTg+Th+JpQwyy44lLj+\nzZdVlDleHzSqTMfoMioPrZQPlyyyLBR4qWT9BDWYdX0gA+wT99UrQ9rDrDpspraUGFx3cwzjNXASQRR3\nLc+mjlR/Qx1MKGy2z1gGMgPXUcEgNKM7UJw2ngt6K/rd9sX0Oy4WubMK5e42K4crRLxukKNEovSzwCEp\ngg+0xUqUHy2p3AfNQCj0/ZjKhieg/NfqQobu5kfPSE0S6n+uxdjqdkJd8jhVH6nKKPVJu8Jl6m+GWmGo\ncUKRMd3ro+cwhzk7L+bXcd1Oag1KjTLuzb/f//B9alW+zZl/BX8l5UKoFaZr2qdwxbeoU3ktu1emjUh9\nxavUFNU9QxPzcrr+ZaojhrblVb5HZU3ru7+k6qZUDpNOpn267cNHoXNJzch37XnxLFA0fQqqoa7YeSnT\nCr3kPXwBCp1QF/U+gQZlq2552Z6e/WPjEn0D9caL6Fd7onddefECVUy/Y89+0V5zBdAPL/EqH9j3vpNp\nSF7Onv0C+0nKne+6iii1J6li+q637m3psHLE9JmrfKa3XEcVMwBPRh1P6kFKLfN9u8N1tuCqX8fHEcqV\nVJa0e9sT4u8n2ALMz9S2D3/SzlvpYHJuvWc/T/qsuZZ9F8/yAfU3b0D5kqN4BZqynIF8cvvuB9Q0vcD+\nUXulzfqB5rqN19WkFIt3P3Ad2vf4HP6ZqWe5kY3FVd2Pc+5GO4d5Z82Aq7G+qM958sOXs7XznjRioSWa\nVFQvcR69j+fj07br5TL62kaY6yvTAL3caoRaWx7lpy9aK56TjqqvKSncanzf5xrAvP2uzdz3uW6O22/v\nuf7uk3n7uR4v+Aq8xvG/QJXYk7wO7vuO3audwxjHdh0lPVTNOvY39p8/dy1b65+sNvdJVmG+ELWkT3n9\ncdVAR8npKC3tJaRVI9s+8Czfej5+uRHVse0zL7clyNvrqJD0a9k1z0b5cpaZxusn+cq5qKZ9OmvPcZZo\nv9F+Hv9ebtuGot6pWrfue43Vvc/E9Z+Pz7wR9dBTiWoWEPfP6yle9ArmuqaXbn+pvVd7X5Xwfoq/PM/P\nv5kVxb7K26m1eq53+O/jfK7noyr3B1Ga/AobpkLw0Wy8/kN2zkvTz3i8fS7Vzvaa46mXno8C6K9HqfdT\nWX151Z3Xw57nff8ivqX+fyX6JD2vjex7vG96xpPxmZf4IFdYNf7ZKNKdxvrFGMEz0bdxzVefzAqan427\np7E+HgXBz0SN8pPx7GdjjI57jXjvqxhHvP4Gr/9jXjb1uVpyge18J0b8JF9Mn/lOlG6/ODUfvN+usetO\n+y++LtIcOB5PrcLur8W9XuSTnkS9eG//1agFf7V95DRv/Qrsf3z+xayvLscKusrLnon+POMF7ts2q69+\nGCXUL7bP5b16nO15Ij7P5uHKp9nmC+zJk+yli+3Y+Tq6EaXkH8/2jcvx+pl2DqvfMMfeiK9ci8/rM1dj\nnV5j807zk5pvmv8vRZ+cjkG5EnNAbb7iDda4t3M19eETsd6f5NWuRJ+8lu0Px7NnzPYcf6LoUtw3tecC\nq9WnfYb3xdXOZ/Mnzc/jMUsv8y0WsvfxeiGbY6dizrzKm6a1prXwwvT+eZzf0lo7z2f/IK6j+a9N/vnp\nPf9afOa1bM5oYl/M9oGfRZ+8ETv5ad+j8JXz0bAf8InS9S/ECnqv7Qe89Xi8dTZG/EyMAluibmnX+wtT\ne0U7uLHWfJ5f9odN+4P/qbHQ3HuG1+e08V36QnvG+fOmfj7FP6/yM29EI5/zZ/TPXI0Bupg94xPx7wu8\nwmW+/k52Vl7w72Lf0Hn3ahp3qkVDF/tpKiS/TT3pR5Pq86Vb74Ri88cnoC798Sm+foWKyK1Ws5SUT926\nSDXvpAOeFJZfzzSW37QrvAldcOhphzI4Xp3SEH9Myti438cn/V7hAVNVmrrXev0NtMnVpi+46jh+P4fP\n+jXPfXySV1J73qLudVzzdXvvFBSp7TpX/fNQ6H6cn4K+9ROhUU4V6VeSNvlbt37Cp4DW+Jnsvk9Sn5tt\nc4VzKVJfomq3FL+hzX0Kz88+DWXst6hv/rj0xqVdTR3xS9Sf1uuPUsX8rPfb43zKM1KsvnUWz4/r8NUr\n1Et/mq9Dxfws+iB9lxrdrtd9ht94068v3XK1B9d+x5/xvM2Dp29d4hXfSnrdP8v+vUwFbe/zVuvcZkbb\nJ+ehh+7j/oara7fa8U/E62lMoe99DXMvxiKe8dZraI36wa7qiuPWX49TuTzUvWNcMPPe8vnzpv32JK+M\n+X/d/oJO+mW2IObGGSq+n/W2XcXrjCsi8ge3vS0nisj/3gxmJm1wx55SUmN9PPToZb99h3LTEVam+DDY\neIPN2R1MhkivZQIUDyJ7KqK1Wg9Xx5secZzPscE5Jr9Z+hwSs81tZ2JWwHlAB8Fztq2eUu1y1p1U5D20\nNMlAP4KSuvP2TyeERIdKtYd8IsJh9yO/s7oxhuyJyBae+d3L5F9kZhhkjzDs1hBlrT2hkWEgvrgWIHQy\nBe7JUK/FprJQZb+yRyHOPQGDo8C4C/5kwRTkSToCkXUYelZRpb0dRDaT0tnB8RbSg8V+1OTKocVFW9e0\nN5l7gAFvh8luHVtsG95K/dVVc3c+d+ZHg/uQld1vXTbbIpCoLNDC61wm2YP+92QgkjmPZIs0iXFIct+O\nUV6DCgd0whuqkKDy8/3gFyKK169KZBOHpWQxhlkurqZOXko+FqrY513F2HaIqY0kYkssissMbgh10vK2\nAavIMUAph81UhOvBziOdwaxxpIIO2ty9Byp2gJvmeJNWUIY0R1yInE7AfJIyvDUnxGi4whzcoEh7Uut1\nKIXDhuuQuhYOm0WrU2HZ2RxmfSiDwiDrxfSFTQ2RHSIwXrRadPbKl5FWpCov6Il50hT5lCPMUYM12sru\n7+0sFhlx4eFx05JOnFziQmxjpgCU1nPonlAdIDu2IAHhjLUFZD1afJMpoEhHzuQB7iJHDYfOQCXtisAw\nWV97hQIVtS9brJWUBVyP2rWqPKVh02WotAMF1oecly6fSVyCY0Qy/fKlBZVWiK0zZ2m42k/AIEnSWrHZ\ndZiKSUOvzlok5jvuk1Gve5O2LLOtBeZepAUynAILLWbIUQiXJtm73kTotW/lUDZvN0c7YAFLOd5ikJMb\nWj1/1W2m7Il9Zn3PwrGdzYY9y1GbjTtbPgrXqTTqmU15IEOQzzkKQniSDF9UtXJ2jsr0Eouc9lnepcU4\nItmbI0Ziq1Z+B/RpiC9BfSjHuM21CU376IILYfO4SzJ5EvSI2uY9F+woV4UyaCWZAe+RLrznvPuZRmUi\nUlCqBalOfAq6qhuDTcTVVQZcBP5SIN40o7Al5ejPRttZwtVIa4dAwcSQJAq+amueNzlU74u9EP5RQlIK\nnTrpigwj3ClaPYvlqURqAg65/lAMXtVVisxhSAfsbNkZgJIj417fh1e1wYlYDHHohF8n5jvAYqka6H6A\nJTQhBR8ITU/hU+zkS+V+2x22LvsusKKi7g5x0h/5wxUtGcy25fmcZiIN9tAVCZwWhj7jvWyfORCCGISn\nE/JYcL5UOQ503gsbqwSwr586OtEVMjE7He/NrPShEArAHhVIUkH4kooqPpyVvEhI5MaRV1pZToPcGMR2\nm+FJexPs8VtboSrsguE8Xbi/JUy+mVbEpOJjS1PoYwd+iwWvNKgyrIeQLA4RFclas3wrspBewpmX1OKV\nkEDUOeWkSKQqIkLAiJhxSkSC/GD7btUxC4paueZlzWpxXsm3CIn9EM2wbSKVZ26pZPYxaWS7VDZSsymP\nLW5QEBOCLLNJ/WmcjgHhbCkCnSKWmbTNErDGJsK+fPdvQXvWgm05cTZT+etNciZpE+ck9xDikZ3n2i2y\nejtFW0emluZlEvUpW+4bJXUIp2GPpo0uoNcyL6a5BNYcCdXhZLBTsWUKQPBu0kdNSHLRkn4D5k4Sk8QU\nG1E32nX8ihwPT+pyXeo4bAsZF61kWwH7YDQYHC4C4xPaUZw7GWGoN1nyPZU/QixbWye0bGMqEGBVgIJq\nn8gEBKEgGoRW23Ltda/nY//kBN253DxuQkd8Iq6CzwNXL2PBYAIg25qettrvcraiC362XK7mENVKHckF\nAzDQtXv2Z3C8uQPT7oufp+wVDGeUmHE5Iz+DMdPsTjwPVwZmUof81WxOAc3QaJ0iE/cEILypm6RcleSc\nHYoSlPEm5EcJgBO9KvQ5IDABTCD+yGmbTWsJ8YI+4cZmlOCQOIRVKGWGXouJy7CBFB7HLJObulb3NotQ\n2N4pFqIIvlE1gZMiiJTaKVqjpG686H2I8XlNZuztDlgTkGwMHslqxUqegHC1im1tURG7iGPFCqLA6yi0\n7Me72WKBD3RVJq7IthCvXW1bTkXEeZqwYtive7WTVu/NgPbFvnw5J5F9fMxlM3QyZRW5ipLMoipRvmJe\nE38bujMw90NEgEyaUJCCuTpleybOaiPZDqlyAM335VY9a7DWCkUTe3WkSuCr6HgCAInAExXSOiTnqR2p\nofr0/0O2nxOEjehIFH2whRGUCOwh6bRlrZxUFaQpnE1vq4SOWZgePP42KX46WFvOmduZAwV6op8j4L+E\nfh4JbbnQQMHKyEG9j3MOIMcmV7WvZvJDQpa7/5FoA85XbqFbSXyeyMJgMkjTPKab3WdmalYlVdF6kFCu\n/EFtxNCCai0hgJCJON7p0zmnwpIOxJneVFKi3fLiA4lsi/Mnm7C2J1ZRE979eskIQVCDqD6P6eRblfbw\nwBbP5ENS9rh1SYwWSyZRK1sxbJgREQsgmdTlsrkacgWHxsNJUDLrd6P8CHVhQGPzo63uZ8ShhWXBsYKu\nnIs3ZPLsjU6FkPtyv127WB4923SyHop5c6tp1emdwqThx/6cZNN79RGxpHz2RgWQ3uSeQYYV/mpu+2fC\ndpQ1ag804Th9sQeX2gGBAel2Yfgwi5ZbaasaqNooFFZIRwn4WjrD8ufou40awf8kMjQJ15eeNKzktKsJ\nUemaMjmVpfTCVY9wBS/kDNsy5xcTpBW1SaJ+B3HHIHXIhbQ2eqWtsgvt8UMJQmwWo714pI7N28GV8jeJ\nXgwfvZWfwobvhfwYFnGCshiPGZPZHjtBKR0vnQDZ9m7NlmHWS4mWao2EkyVXZE44yzRYRWA2bcaLiaNJ\nkVs1dF9S9Ks3KLv7zYI0a5ja7W2cWRJe6qmcw1L2JHTpTBQJLuGQIcozUa5Q3TzzKJOVivFivDeqigQE\nn9ot91Td9pCgFFYAUpPTRQ3jIiPwo88eCoIOQ0Duo3RRCb4Aj+coMG2y+QJzGRwbB9EnsGhpG0mCrS9m\nnIylnPcwyapZ4bAggvZoNTSLMheHLL8W2h3YCNI2CEa3I4XV6vQOLDsiucMfss6te+Hwcoft9+1F0C3g\nT4ZuTf7YzbKHfhhHHbnynYyzux4sHnjwULHvvkN3f9VF4mV5jliSaeH3G7veXh2hDlVtobY2BTfywEAA\nb8esPNMqQfcmbUQGe1/SDBg0mYtguxL0uTZDC8+lBzX9c/2ZPo2FMCxa6LeouMEybqrFnL3Y7sg2cRaz\nyhR75LmGAmvSdxlR+K/NEPj5orNcPevfWSmtF8riftuZJ+P+YNgcNovv8ObNV3v6oz/hT2l4/fXLVPHy\nNAQhpz0s1bVWfEt5kAQJRcP5h5dkbCuelZsr9fqYq+OuAc5M1Ia9Y664o+yqNr0H1+pNUFSYozCTIyq2\nu4ZE5k9EQkU+wh7HZrsfkyuC2CpYzo2IJGLlst1r4Dl4fycnX+FjFR/1OyzlwbnlvfANf/t39/32l+6x\n/y1NpUbip00O804WptJA396RL8v5JpMGmt031RN7i755FfuGw3ICksFUrGfqxFn8GrDBozHLZUzmOsu5\nJsXU3Zf33sGZYXtnNbqj8OpTbiPPFXnwfqlXZ6okLOyZKhdmkqLYq0csreRPpPSHCgh1ipmpAHoq26rs\nGLpMzDYIcUZJCs8w5BpF82z0vD90MRWskJxE6PJnWvMIfrTCJd3J/FQcu9ifp/AajVQ0JjiSigLt3Jn3\n/UMQdSpUCYMilX4wILkC46lIcj5Y8xttUa+p+ATea40YdXJi0pYtc1mKiq0dE97xqvdSO1uPkM3WHllT\nK2BGMbbGrdOpfR07faYlWEylVnyTxAYVXMS0/nKFB9t58nTEzqwWnI37nW1NCbvalKs7szSVksiUesF7\n8CoO+t6SpphnZkgzSwxynkfJZqjbWBIY0DsWi4eb+bpb7LUZ31ZX2LXrtztT22khPtR+czYHALEzeh7B\nybXcGC2mMiy7R3k4BNV1raEpmo05kqq4bHH2bPrsmX+4yZZOVugVj6XtLTLjZNvdrX1r9uh8Vn9sVib7\nqIt/hsspboWpVB7Ic7lzxVTUZP8jlZ09UWvOU+d/gCJOg8026wQbBck/miR0rKWJF9zx2akQGJQH2wpZ\nmT5eSo4EF65NzTHpxee6Qz1xh+sP2Q40swQVYVtAyV9dnrqM1010h2Z2KkW+bWoLW57KKLXsSrQ1q9iH\noz6nJy9L2DliQx6b871ntRyuUKLKtpVuNTPlBcdzMlOwc2EqYJzVtVMhyGwnWppKyIajqOoph+r/fv0D\nu/Uf1v/93SdGCv80biT7wmOJyj1f3DWVWphK4yzRYHR1oqobuX1YH51i6nCamXJ2i2rVLN+mLiUNLGs2\nIlWt2gX6c2nKn6FSC3VlwyCTCY7IaE2/NEpiTkUbCvfvPZGtmHLsbh5L91HpTDmuU+G3wkuA+Ug37Ruj\nEKveiU0c2AtMxCJyC+5A+P4SoAqhNzKtndgVUWdLL3C6Jea1l2y1g7U/GLWOGSZq8gdoUZvXB2UTBw2o\nomakyVszE7Muad4Tb9BmbNDQTOjOfbK24Pu+PPVUZHV+zJ1NJwn9v6Wpo7mYMmdUTy7aQ98hyR1wx3S6\ndy3DNyW12x2FyifhB4gnp/WmytXLVIxKjhnDHXiF8TVIt9RQtuEiz6LVNj2m7JDtU6u4yCrNMoQSezUu\nun1q3Xq1Zz9NppLN0k4bho4+a7ylxEQWkoArWeRaeFnRjxR7WImjxFe4Fm7upUH3I54UplnYVNrBYCXX\naXttSy0gwpIVxS5QXhJAoWDQVqkqCe9e5JbxFO6mmPIli8Up/FKm1MAVkIGemlYdiugBwANSIetMu92m\nUatVRottamfPSvd9/uyoi6kJM2WXAxrlQtFoIXX7WYoSczDSwFJ7GlY8h30fYQ+mHPkfol5ccstV3TH6\nDSoqnLiMmvJ7yZPNRPF2bx3LdDQ8Wuh63ggPSGLC1+226QfM46TYIG0v6nmkx4N8cgebKJ4gju2Uo5cC\nxAraZTqfhVRAMj6tazN5tC9FYbgXTIVzp5o5mp1C4gm2QroteLZthI1zMFS9saqosZGCOPnqa6pI/alf\ndmdqgp7nSX3tzHEPG7hsvrv9Wd1B7/k2LzszldLMyhIWKuDBjB1TLy2PFnuZh2BS3joJ5hMFotSw52J8\nSSNQtGclq0gFvaW2LhMLkSCMhNq2WAHfgHnaAl3KrXpUxrrdPpPhjRpXpgxusdAcY6VJj91/3712+ny1\nokQJ85AJptZgR+tG7XZaVqk/pxImTTMerqlCSrLkkpYakAO2ABm7W518w87O1qNPqeiQnM8MvQNTdnl4\nWaluQVa5T9WEQp2ckWTv4qp7V1txPtZtFaHd/VP+kU5RHGYYNS6lVOptaiavZuo69skpp3V7vaYi1yx8\ntQa9aNUdQMuAHKtTGj7h4jiablE/4P2pOeGyaoM2n4V43FaVjfu+VqnC7jIztb3Faa9dgP2SzpXZqeU/\nBdgja7+FAqmw9WhDxS6UVYsdemE5n2jFFESS62g8BOjTV1Wrm7Polufa2tq3Z+ZnpjeKjVRQhtHLVHsW\nKaqpic3ES9qXaEGkgJ17iuERtXXF7SpTqQKmuFvs7lRTVrLajdYjsu1H1D+xQ28QyUO8tDzlQk9F1HZ6\n9bF2L4g8g2fgXGCMZ2PgthiRaAuC292TiBzvmWVj7ZOy1QPDyVqNyZLzowcLHgGGjarIrsvseqjU5FAD\n+5HjJYrMWJrZPjMVI1c1r1QeJ8E7uStm7bQ104bcfUYiheJIh6NeXEEGv1cm8b2nvSaKsHWm8BZZ5doC\nhy33rIjYe+nDvZ3+oFOo0FuUXj5wYM7sX2sXHXm0pS0FHGHYeojyTW3ylCOWoxUFZk3+ZskgQyA0rF+y\narFJxC2Uu7x0t6zDKkty5Wp6drR7yrt2BaZWKbAoUx0GooGTLMxg4AVo2t6X3yYvIPPx+GPqbMTmkVl5\nrRfFfaItVG6WQiuTLfuMSTvPqtJXSwUeA5+aVahJ5xUjWK5varPAT+Ym+X+tGmgWVIRlHJ2uWnqDIhNM\nc2iyr5UomurLrMhPdEVjAveR+TkbrPK6qtLZKkBfFUmffNKi2dMTYUtmiaepPWRLvnJUAt227fN3b8ub\nZ8eW9e4ULDAStG6fedbCF8VU8Hw1dgEl5Kbw+XOtRhYgf1P++9IUhtxW2FZzeLABbbzmsE33PJbw4Y/B\n/ZeaxofXwF1u/0rWfaazUG/pL7LTyUcnz/sGVQiCgZ+/d4088nedI389Z6Xbu38hLvr/+D0oALTX/OiZ\nDy9SY0AqCNkn7f3nXHuBegP867rY8c7yzu/wirUAfPCr5Kdnygv2V3tNqBGcmNICyDjwH32XqiPQc8A1\nL1LvQBxzaCOcSNd4nzz0J1KvUE2CvfE++fB/Snb7RTLJn/NeuUGVgatT3H2oBlwmG/19akq8PPV8YOo/\nm3QZTlAL4u2PHsXdWpUDfNKZ/RecGX+d/Hq0533eNd0Bo5T1xGX+vETuu38vvffehz/mp9+lqsEFZ6M9\nfuvsrTc/fir99nQwhMjiukIml/OpWnabWHOJx/YWeUevkU0WjLvgGb1in7lif708xeISn+rsrcsZO+n1\n/JNsjV3TWVWviE3lvCdw/N6w7z3m750kZ0pXuXLrOthd/gwnwAGzTz7p33uL7LEzU0y2aAsYbNGWV26d\nJ//tLedsncgYZK9M/XWWz/s0eIP46+OTLVcrOGB+v/NkjL2ja7Inz9q/15zJ9TRYcH4/8dHO2VWu2XfF\nYXvMOWJnQzXH+/PJjM/2CniI7d3zZ7A7nQV/Lb13XXxAFEUze1CAmuFiKoSpkygqvfiB35mO6mYlhbGd\nevmVIMFgu8OG5rlS5Fy+1RbMW/qt7mCVmlQMPrqyp22JFbJES9MB46nMnFm+01v5dHKnaQNh6xXSelMh\n3RmCSFZRmHaVUNtIPcHPB3RR8cOUrMwTN01EdrxVHt1Q3rtTZNZeOlyg0ylQ4sz04ReXivh4G0ag8zwV\n2qYvmvlrOxanXNUp07+zvGM6C7cyldNpn3d1MDhcfy6CuPBt9NU3ZTvv2bWY1xCxC0Qdc7/U/HSyA8ds\n5h1Nob5mZvLksZ2dS9OjkqXfcOXOFLag0/I2+G5bS5B/ehI15pU8thSW7CxPRQ2nra8lc3T1+aODYbeZ\ni2xtoXStF/COG+UVH+y1hWlrzVp1tOr12rIFRa7ivn06mOG94sWwZ7Kq7WHSePRX1o2Av14x1o29xFqZ\ncnj2TKeqlorpVHwkA9x6+TJr3idJ3ukQ5xc982qz8SHr7kkrNKdmtGkL8IE8DRZBIE7ktpZ3p5haKy3c\nTDMeTm1rUz44xOodHCv2b4yHqxtZ4WJ8eNrvJb4rWzwCsmwQamZG3Ld3zOaWlsY6HrdJOFZd2qdZbGe4\n3APMChCml5am8MsZ1GM87M0yxty6pM3nvJ9Iy8kcnmJX9pNXmwWs2jQF75v5PZkkID7fei4KhBVTSRXG\njdr+C3aVez4toLcAYnJ6N1s+mmpac6pQCvUbEC/HpfdmNbwzoz+82dD+9ZLIZpiGpqT7nrmQexZNwru5\nRrFwaKnsC6IpU3m2KA8+bt2BIlRyGXLKw5BF7tvZiOYIKsZher1yK22U5ES20ddUu1LvquiMI2ZXJlkd\neY0glrNuRLTzuqrTa2tgq1pqQFrHAjGU07zTe6c3RonAJ78wC5OFK5vFmb7WV6lFe0IM3vL0FpSDHBkK\nHWw9NBxsleuOtkk1mHnlrFhAEYSdRMiQrJy58ut9QEKrPuI/BxEvtWds88660QHmpdKotFsVt8KMGHvE\n5qz82COhOjmNZ5Fn2cb7pzjU1u5pdI/iuQlOl5NdfLFnWfCpTXT7jDn4eSmrNFe1yTAn4nhJrDLNULck\n9tRNkYOM44gRp3OxmIbhYGlkNXekfFjMShNxR6oyqGKG7ZGq4oc5+AubW+KjYkVT7uMsZTok0JRUgJ4N\nRY7zmd7UxdD/+Y4rw0Cu5EzICiVtE2mkXA0ZkNB1wYcvumLV6RdcxsQVfn4UGikfUAzknMvm+LtXXIXJ\nVV/yViVVmR+EsFISFQmtLdw3Pu8aStbUp/iV86FC80EIy1zLtGWszY9CYwRf+TGv/BPKnpzOVKdeDKmc\n5/3KfqmXQjNHSiwvZJf9GZVhngk1lTPRjKQPIwWk1+LdN6ZEh1z5JJR/klBYGhTvydMu6+SSXCf41hsh\n+fJmfP1kaLy8lmnghCQUbvTn0SrdVxov70TjXwyZsqdC1+g035Ls1Une8UleWYph3wlBp7MhovUKf/9J\n6BHl8i9SK/pZKMA8y57RlV+I+57iPHyW7byBf1+lnJerDF11CR38fjr68LlQptITnYv580M0BpeSGthr\nvNTVGMTXfGL7I1yL542e9Mn2LL+SlK9eD7GjD0JG6XJ03el43tcoJfRSfPdMXOdKjJHmRtKRey0m7emQ\nJHoxVIDOZipn78Rk1i2OxwpK8lNJRed0rKYTsRs8kY3CjVAEkr7Qyy49hA8/HyP+ZqgSnYm18KhfytfR\nd+KCL7Gf035yst0ivDPVpB/FbA9dL7+ytH0uxodjxnpPJtGw6Dp87Hn/Ct6SZFNoeeHPN+NGL8bWBBWp\nYdP8Tl5jY+doOsvDl3Mtd/fuYLAhAzltcM8sfQ6GUUzxynr18ue84pFzRudtL+el5lftEDrcZraK6fNk\n5+dM2pm4fvKry2mXfcfi53JDQC93zdyRgbKn+Jyt2uKTaA7tCT12D8UWdwqXDLp2HyijqOsYVvUSI7Go\nkQaJgGqvEHitt/A5z28GcIy83liSdYnas90u4XP30feohgk/LEJs0XxuABY+FytwDWSzTJuJXWGzM21C\n7h5ROHxv5xvI3B/uLFOTpmiRlxnaG3C8xZnPRQzmiulsfkkTW9Ya+JKfc9aX0v09w7j4uQ4QTqE1VYnV\nyemZxTTiKXN+xMvM6nDBCgpXM3zN5ONS/6Gz3PmcRzVTFFNpVVx493/KiB2eb7qrWivNDpsVoStJqBR3\nTh5RVXDXq4dw0LdGG/b+t9B/3zoC+GrmGma/CujyOT8kw8AC59HkuuD4wkFlnVJJm7zesDg4Wj5uJ+5x\npEYyIKcoI7gme6E/kK3YWZar0mIlc4ojx7uYxoNOz65du3x97DTzsETBD5E0QXlRfCjzoyk6Quc/q62H\nWqyrmMGrcsM70w7/zntIoGWGuWwG/bnPLYdtzZ2TQ+U6Mv6zzY4/2vVfP2faLs1/7oV2JihAdgeb9f/V\ndXW/TZ5X/LqW+B/euqqSaHEMo5pW4rgKga5MbUFdUDvtYnJsJxicOPPrkETVpIUApe0orVRGhaaWrrSk\nGdAUmuFQQqTtHpE7LuFm0v6LPefrec7zgZBCYr+fz+c5v/M7vzMwwH7DgIqPYQMyKGRBQMfvY177PPoe\nWVahXwIfpMdwhh2/U8H6YjXGqaj10KPLj342/+492n609ej+o5u750ANGDFzioPcR6R7BxHwPiLwd1Dr\nGBF28//nGKkAJB/1fv14B2v+3qNv8ewvUCEY9IS3MSbwJUYRNvFbiliQojJqPuP//vEagWc9ZdbA7e+e\nxzgGRAc2OTqxyVGBh/gEl3bPsQ4vqUZDDGYH9YZXSc3WPD+/3+4n/H7bGC9BpWxzxqbfHnj0Nj4rtc9m\nEB2RqICvice6ZArXPg9IN+PKCvGHnxa//lFFElZBqe3JGp9/98kWaObR9Z7cApUyvIPTJqOzPrJafRdQ\n702+x/uj3t66xBE8nbNvzROcpU+CZ3Sad3y/bmeq09PFWmwsn2K5RUy99ATLKuEehWscktx4pQsnVcUK\nQwFbpmM2V9T6UXM/p3VYAYrhRKroSiGY/E2IAZJe6FciwSNXZ46RNUZyxRstBsub485Zhv4ihESbbsHH\nqvOdOZzCOJmlumd2GEpKds2KOOIpN+wpeEgL5CpX/Mgo7DqCOXMTemYLUOLtKdwxRSmPY//XIBItPdIv\nwur1tZLMEYXQ+uC11NEBOXdBrJmx4jgUzRvO3mi2T2O+6zD2i46COAiDT3ZJ7Oj5m82GOf/mB0Aj1Ypn\noUHVp4CbDGXQAN20OUBRoGKgwmzoseJCb7r062K14FialpB4ullrK1gSYCzqzSxvIjoe7nZZaA4h0Udw\nPeSY6HQqeHRgcExTySXaBvzMGyQkqKRxxNqEet+sdadbS8Vq0LV7CpBq0yw1oC47CWMQFgxvBhsqMBmn\nM8JRJ4zFZTatWg5V5ZvZqVYbmDVdkBIMTEfiGtV7dsRYPSQB4Y6d6CCElY1zxVyp4GFfn2MCbfsuB5tz\nJ2tQuQTU3U6ZBzHfNktgYkGrzdRmm7x+uEwec/C7VACKK2hJDaVMjINj3Q6SsH5j/pibgoxhLYRDVB+W\nnkB1JGS8KCkwokUhO0VXU2VlN4mNiMvh8HHB1ISCKeQQZ93bpQ8xxbwsqWm2PbisFNhYiD7mfioUMIPI\nQnUwJkpILEBaHqRKtOq5p/yFmCmTval4U22mw/N4j0zkPaFZUAD+WKYLPZsxM5zpFcGThYK7vNUyrhAk\n8mbvYiQzt0aJrIWOhsbjQBkztLR5+mHYHh2iw0GRJATPoawTdSILVYowhaIy+S7EiDHt6kgVk2JIrbzT\ntlkxcKCX/C2A5lFjEVuxE85ydbXPW1B/UfgoCAFzro29qC6BjfnQs8jJa/VsWoEuxEtMq64ZJlxhk0iL\nNmmlDBUcoe5a0w9KjYeLtHcC7Ip1KIoEvGcZ2r3FTsnYvF1bmPHQApfDA6YWVCVsyAdwuW6r0/ATGTJq\nIN+xYn08jtu1lz1RQp77TnkStl0sTNhV64enXwen0OghvByb2tPchLiFdUxqUzkIJxifLFyELch9QPDw\nUeWVkqM0erK2ZOb7VM54QnnfiAtRSbYRdYbCucs8rbX5gyYIrPIlFCIZK5r1/HStbtwvZBHD9tccLL68\nf0Kl+Q1Ez1w9quq+YRHNYeUJkq30y4ojT8peqkQ3jFNc6x0wG5rZt4CPJpMwmvuFyCDL4wbS1hNp52TR\nyHPsTKnwWMxCQ60YeZRK14xvD4/1SrndMesyZ0821AClAekyAcUqQDW79rIS45A6iS4PazQyAnWgnPhu\nnrghHg85FLXGMoosUDaaHwqCfdjaF9ZUzbyACvm6KDlGJVTRY6+8eOjoxOTvjx3OpCu0aA/9LFZDTMrr\nYERVfL4f3GwsMjSATydimwttyCoNFhezVvhZT9Cvb9S65nkbGtFxRhVnTZOpDPm1AgYcXYLSXnrbZqv8\nVHMZuQJmxvBbqJGmPAXOz5xGpYm2yiHWI5zM8ywy2/2cDPioEm00I9Hu7edS4IrehnHSVsF1YK7iqLeq\nH2AT+pmNohzl8k5kU0P6AO5sniIVPrPN2bHmhc5wowQ6b4qCwVj32aJwpM8whn6vZSHGNBk9c+TX9By/\nGICoZrfTZREfsxG3F3IUkPCSLxF90dXZyNszQ41ShK32zcSRcYabXjdjZarTOWW5AU4pY45GTs3GbiXv\n2i3KmPbanFXZ+3Cd8V4b8LM6VYyl4Ld5E4GPhqUvuLZwz3HVaRXImfF/tNdTVSOr0RI5PpcFoXYldpKJ\n3Cc4MAtdZxJMdOZoSBszgZxhGC0zxspZyDkVLz8GZF/Q7ZhxAXHNqmbzBFV8FMGASAKzLjtHR0IzdAhq\njZM15NTYMYa4lwcIGyM/ZwGiTFRPlSYsKd2Y6+JCawPzJ0iYVBTKMZ+RmRIWbj0EyCPaUJKLbWWBM8pQ\nFVkjnakkWaROkZiMSK2bAHhkp6tRNbgOX50SsOooG0ID2AyPLkr8gsCh0M48p8BOK4s2gnUDzdkhzo8Z\nX5YGk0Vuss/v1isATv5F02p5oIVg5inznRRD5WAHVl4QhGH1vDzIITMunaIE8sgMcuHBMKccSujfTg+S\nP3KptikSTKDPo3Tf0U/ws39xFY38THtvUBBYGpk/MR9w7czoixbaglPHFOmjGohzdXCJYF/XR2mhrKPP\nMYezRAjK2fGTOsMB313odUW6eXFo1Mn4tEhftulR7bCJcVPNtEQcp2khJEPaantHsyAY5euT4DjEHRZ9\nvfJSCRBhdRPuxyxy5/W3hKLZ8IP9hdZMfJ75Fmq6PP5s96PHPwN3GeuFUZ2y8JPrVAUMmeTnAd/lym73\ngypsUtWOMU7/k91LjKre5QpvgKsCrruDfzMy/PhHPHOHWOXIp36AvxHKu2HuR2jsPWSVM8aMDG/mdfPd\nCVH+Gev6UV0zujvwvu/zWwTPA5gyIrjbjBj/dfcTZJ6fQ958n7FeqGz3I6PJ28j+3sYabZt4f3pTOIZ4\n+PLJfXoLrtIGd/8Uj7+PNeW2ocofxlsvCmFgQwKyFzCiuoKx6TsY7aX4siUwqLpjXMLpnJzynYRrtyS8\nflGi1RTS/VrVuvpOMQEo3q0rcAk7Aj6XsyDufBV//4pZHFxLiBgXV1Xw94wKu6/hM6yo6j8P1XtZtox9\ni75c5zM85Y7UPlsTcsiG8Ar+gtff4Lg5cwmIV0NlcW4JReSBvOYFPEWfRS2j2pnbcF1OUVV4HMfgosTT\nNbliRzE31qWRP5SO2FL8HNWGjkBiuQSaCvJQul7YCI6N83dHIfBq3q0oFoqtNvUB8jGoxXakd+4JKUKR\nizymx0WpgbWOv+wgw+Qh129yT3tGqukRe+SqT025IwffwBPPuDd191qXHrmMZ91mggoX46MBdkPa5LZU\n4KKmuy5ltqSmG9/9tjd64ZjzyJ9Zx88vCY3hYyEFUZE7ep6/qfY/L4/3gYxn2843mZfiaEUPZPSuyfRZ\nkxJUdowJ68Z9Qt20ptp5012HyCE8L9ZkxtnCW2v4hD+oYnBYMRD+vG2vE8eRvNwUl5Gyao5aw2yOdZvV\nINWM4Jgt8/8PXnUe94nUaQrjQ99znsgFjFD9hFEqujLktKxhxSJ+HqlxpD65i9GuszYydROfawWyObiO\nz43wXnjspvymHEqBYBb3j3S6M+V9r776ankJRXzARwhBIXR74dvRzIYCIhRGVJtUfY4iqLeI6vdYsTM9\nXdSSdizjNwrlNiBUL6R/Y7FEgFL2UpAfAmagDllxDMdaWS9ZY6EYeyS6oAd/VKhE8Zhy+fDbxUzfcBFE\nSxrN4+8cmYAU0zm0lviGJ43VTZc4EAaeQfsgjKnkdYvqZBaP03JWfNsstu5if9wzyPjGcddmYIUGiJYE\nKrDdCYgqJ/o2Bp6wJbCTKSj0WrWwGIVBXgtCb4itYKzfu1YWeawHYrylgGihV92jV4khqSyNlQRkdgXM\nyMn++MaX8kpIkKqDl3COemGZL2HgIHsP8Nfp2NLQ4TMBXO1TluFkJb4kQzSLYon7bJ4JInJmIsxMQT1v\nBgWMLz0DjJZoIrRmhVSlXJjxeq3RnCVcgpgjuUKShNWjvUp+/BEzaNiJOLh8pDHYagyRktxJIWaDSyxu\nhkh7DY2y4ozXt7GJXvD6mTCyaowYC1e56bJcmCaOhS9YA0PXdODQtRcBp5/xytHyqkEQrBhohWFouwNp\nz17hBwjFgfc/N9MDYcVDIxMj8bgvkQ6DaEEAsDGsS5OJuofzChsq3TpIG1IBM4E6OUMM4n+CP2YxADnb\nyv3ybJ3pSQHWhrMT7BTmMbo5YZax2alWTV2suWQGJIuicHLKQk7VCVS7MRDoRX8BrvFBu9r0NBRd6KkX\nQu45tzFPKwfeKYW4CAIXYAWOOwKXmGtoqiPPNBeFs962LhnAk/uoxC4Xm1PmnZuoLFKDYGO355IWabcD\nDMgG3YBnJLiijbaKCIJVuXidkV31yExl0hWAWBVeD5O3jT/s+gub0EtxquG6U6/N16QgiWi7+MCtN+Qg\nNYWG3PRCF8epWsdce1EVA8jvkHIWbikFCGzZtMEMCMCRsFncQRU/NPRe6fh4af7Eck5sB1ukBniAZkuF\nJUxGn8Wm6vBFHdh2g/IaLjiKywA2PPJG6B1zVuWwOBfnnFmLBqryaPiHgEgoddVFjSmYJhjOwH6sQ23B\nLghFQLu8vP/wy/sneIyZP4pDQ6MhIgU7pCdSKBi2GVZ/DPIeQ34t0CyDRRqpl3Gc7b0S6MgeMjNpcAgW\n7cnWrPktiyGYoretsGXhLCRn8wQJuViVzr6DMo1QqlZmF6/nctyAagM/dZb5xpaOo6J4CZOJEXq9PvXE\nQNJ3ZmlW3xSBynqLk6gxXIPtepmH3oRNjcQe0PXuZOHxyLd8I1+7g5N6Ap5zj2QrZrq1WeS/WAaELnAk\n5CV7Pce28BJr5bjEjh1vn38qVhIGjdqOrI3qxS/4aGrloKd+Va3Ai+ohLIpyegSiURdkYod8a2gXsc90\nJLmY2DcT1luR+rLn9WWesPz2FOLnq6YGPi8GUpAO6o+NJjYNpxjmCqbYylVSnaQFxQy4bIPmYBPn3yNY\nBZHPCvz0qklwXIzex1c/VlPvdKfVGNw7NFr0FMdtqnPsqrmYg1u6qwmT2+cf0m9BhjqSS4gDhTVHSfMO\n3lcpW8lkqMQgc52j2rBztFvT2LzDXh1EIaPES1jmNCjhODIPGq35NgmLWgWb3On6uPfFgRHw37JEG3Dw\nOhcbB+OLCfPRq3alTDevXBdpfEUeHZVSw2i3/U2XbpKqFGYE98LIirFxT9FIdGOrIcUieP2ypDMpiMRt\namv1qOM4ruW5R0GCNFIJsE9PA48IZJCboI6Uk2U3D/FOq3Q1aB1k50OotrIRUaeC7eyjRBdVs4QDiRwc\nIiUgcQiejcqX+XQIHJFYFsjxK1V1KrRXFls5cOkwmo7TUNKTYX0Jbu4nXtK8pPphTYwpthr0fvxC8IeN\nOtqomtogoEM6s2bkKsPLK5fIPTCdWF+Qj8lloZgfhGL6CzML/1nPs0GKrS8MiR7O7pXH27srGO3YwBhC\n8Nnjaxg1WEGNIIqNbIWxC2KYm3POYhTggcRTzPUkCuJiCNukGSTRB9DWic9lrnz42TWKopjrAoe9bzn6\nFA/ZtKo88fU+oeeFJ3ZaO+b+pA60gZ+hHo7omyDmdxMrr59nfO0nRgpXFXf8DH325BZ85u9Rxydfh7Uk\nJ+vLLJQqF8ZP3eVyrN6qI6MJZU3GsgEca7LYR8sOWFQBkkXoULh7435dTG0GiiPuliRrjRSUOYLTLZx+\nlZSRIl96Fo7LChElMGNxRTYjXDgDDfJW/ZS3yw2KZasM2z8rwVCxdIrZMTTdB3LtV2WRQQiNFRraaM1H\n23QPU1K8rYv+C9d2dWTw8yXQ/YTp+L6ZyiVO2yqkbFwSran64jW0eQVwhBxa0McGJkWh8mKp9AdfwGO8\n1YUnqRYSLZKyTBef9q897d952v8efm6dfdq/8rT/j2er3z5b/fTZ6rVnq1eerX7zbPXqs9Uv/nvrm//9\n83Obcr61Yv4akrjYhgQvKMrwNeL2H3IIjAM9ErXhjMuLEm6zWaVBBMeGJ2xQwGahrksSaJ+jkHCWDfz1\nVe6wzSy2ybNXVPgmCAh+LEnQOxLD+lIe75zkk26oIKPNGrbxyjVJ+NWBm5UoNfsyZ5hyUEzHs4I07euS\nzHuRk9a5TdYwf3ZHvlqXANllOXJHQn5fqdOpfc7gM+sP1yV718+C56fdUFHI6ypCZPudzvpGTrwtrWru\n/rVXuNR6wTGbEPgHyoxQaWnRsIf/2DsJLQgQW1G3kfwbXLBC/zK16xer4RpI0yWByy/NttWxbjEL5KVk\n9VSaNMqbMbtAwoZK2cPlaghpkFczkl65lcfpJr1eSN3qGvMvYfkM3FDOBlWru3LxSuXyu/snyuVDk4ey\n996YfOvNbN/I3sx3ugSRCRwelsoyj8s6Tei6QY6EaaiCt3vKKQ7J+K1p9N9xo6faMT84k/L/sqCx2KPF\nuwwEvTkQY1BIIPKvwP2aJbessYFfJCJQleSWWYBAz3DWA+VOePVhDL2prC+Vjubnkcs4Sy796Qngb2fW\nQEghRabnu61aibrAvHl3wThK/75XobYP50F7bO8o5aEr8+h95fjj0D6QgTJScqCeeOGFFJ5W60EF+fBJ\nYjwI3jj5Ful9tZlshrFu8nbNsZSxoq3xRic72DVGentIaS32UbeRuDx3kBMENvK/HH/H0528I9mYmHt5\nl9QjFacpcQXzKVzhEulDAsOHck/91TM7dvzgm0cmsuJcrzQZCBlA98WYygR8D2gM0850fJVWYrMQzuW6\n7dPLwaT5k9bOfaWed0Fl2k6+w4eUExaymY2jOgNSbS0IFfXeNpNshPJWDiL9Nbl+zNVO5vGYNVey7uzQ\nCPLhefDGNiyegGM43mti1BG/TiFdxrtVu4I26ivp3SJGrfCh1B6iJfcSnACcJemVMkZHsJFrI0lnJdms\ns6lwLLwmV4gKR4seJzhMXhnZuy+b9Hd/G3B8zj0TLgY+ZDEEUnkHS7w8hj3Hkm3YGxzI0vvCc9qr2Egb\nMTkwg9sJOkT8/jQ3KmnzBOLJyS9wLo3ELR3NZZ75gRlhN8fndGHhOc1ZSa3T8F7PabYqsjMvqRWKVy/i\nYEruPHv9jvnYZxalzUMH9iWulTvIaLTXEa5ZX8xVa61fFraX9QCIAKg5bh8rVRiy7m8o4pJl5O0ogZ8d\nvmbCnCfH5TJKTBFva0O4Wl+l/Ix13xO6KCJPD5H51fete+aO/R8EyzZRoN8BAA=="),e=new Uint8Array(n.length);for(let t=0;t<n.length;t++)e[t]=n.charCodeAt(t);un(e,cn)}return cn}const gn=10,hn=11;function pn(n,e,t){this.prefix=new Uint8Array(n.length),this.transform=e,this.suffix=new Uint8Array(t.length);for(let e=0;e<n.length;e++)this.prefix[e]=n.charCodeAt(e);for(let n=0;n<t.length;n++)this.suffix[n]=t.charCodeAt(n)}const In=[new pn("",0,""),new pn("",0," "),new pn(" ",0," "),new pn("",12,""),new pn("",gn," "),new pn("",0," the "),new pn(" ",0,""),new pn("s ",0," "),new pn("",0," of "),new pn("",gn,""),new pn("",0," and "),new pn("",13,""),new pn("",1,""),new pn(", ",0," "),new pn("",0,", "),new pn(" ",gn," "),new pn("",0," in "),new pn("",0," to "),new pn("e ",0," "),new pn("",0,'"'),new pn("",0,"."),new pn("",0,'">'),new pn("",0,"\n"),new pn("",3,""),new pn("",0,"]"),new pn("",0," for "),new pn("",14,""),new pn("",2,""),new pn("",0," a "),new pn("",0," that "),new pn(" ",gn,""),new pn("",0,". "),new pn(".",0,""),new pn(" ",0,", "),new pn("",15,""),new pn("",0," with "),new pn("",0,"'"),new pn("",0," from "),new pn("",0," by "),new pn("",16,""),new pn("",17,""),new pn(" the ",0,""),new pn("",4,""),new pn("",0,". The "),new pn("",hn,""),new pn("",0," on "),new pn("",0," as "),new pn("",0," is "),new pn("",7,""),new pn("",1,"ing "),new pn("",0,"\n\t"),new pn("",0,":"),new pn(" ",0,". "),new pn("",0,"ed "),new pn("",20,""),new pn("",18,""),new pn("",6,""),new pn("",0,"("),new pn("",gn,", "),new pn("",8,""),new pn("",0," at "),new pn("",0,"ly "),new pn(" the ",0," of "),new pn("",5,""),new pn("",9,""),new pn(" ",gn,", "),new pn("",gn,'"'),new pn(".",0,"("),new pn("",hn," "),new pn("",gn,'">'),new pn("",0,'="'),new pn(" ",0,"."),new pn(".com/",0,""),new pn(" the ",0," of the "),new pn("",gn,"'"),new pn("",0,". This "),new pn("",0,","),new pn(".",0," "),new pn("",gn,"("),new pn("",gn,"."),new pn("",0," not "),new pn(" ",0,'="'),new pn("",0,"er "),new pn(" ",hn," "),new pn("",0,"al "),new pn(" ",hn,""),new pn("",0,"='"),new pn("",hn,'"'),new pn("",gn,". "),new pn(" ",0,"("),new pn("",0,"ful "),new pn(" ",gn,". "),new pn("",0,"ive "),new pn("",0,"less "),new pn("",hn,"'"),new pn("",0,"est "),new pn(" ",gn,"."),new pn("",hn,'">'),new pn(" ",0,"='"),new pn("",gn,","),new pn("",0,"ize "),new pn("",hn,"."),new pn(" ",0,""),new pn(" ",0,","),new pn("",gn,'="'),new pn("",hn,'="'),new pn("",0,"ous "),new pn("",hn,", "),new pn("",gn,"='"),new pn(" ",gn,","),new pn(" ",hn,'="'),new pn(" ",hn,", "),new pn("",hn,","),new pn("",hn,"("),new pn("",hn,". "),new pn(" ",hn,"."),new pn("",hn,"='"),new pn(" ",hn,". "),new pn(" ",gn,'="'),new pn(" ",hn,"='"),new pn(" ",gn,"='")],En=In.length;function yn(n,e){return n[e]<192?(n[e]>=97&&n[e]<=122&&(n[e]^=32),1):n[e]<224?(n[e+1]^=32,2):(n[e+2]^=5,3)}function Bn(n,e,t,r,o){const i=dn(),{prefix:A}=In[o],{suffix:f}=In[o],s=In[o].transform;let a=s<12?0:s-11;const l=e;a>r&&(a=r);let w=0;for(;w<A.length;)n[e++]=A[w++];t+=a,r-=a,s<=9&&(r-=s);for(let o=0;o<r;o++)n[e++]=i[t+o];let u=e-r;if(s===gn)yn(n,u);else if(s===hn)for(;r>0;){const e=yn(n,u);u+=e,r-=e}let c=0;for(;c<f.length;)n[e++]=f[c++];return e-l}const bn=1080,mn=new Uint8Array([3,2,1,0,3,3,3,3,3,3,2,2,2,2,2,2]),vn=new Int8Array([0,0,0,0,-1,1,-2,2,-3,3,-1,1,-2,2,-3,3]),Cn=new Uint16Array([256,402,436,468,500,534,566,598,630,662,694,726,758,790,822,854,886,920,952,984,1016,1048,1080]),Qn=new Uint32Array([0,0,0,0,0,4096,9216,21504,35840,44032,53248,63488,74752,87040,93696,100864,104704,106752,108928,113536,115968,118528,119872,121280,122016]),Un=new Uint8Array([0,0,0,0,10,10,11,11,10,10,10,10,10,9,9,8,7,7,8,7,7,6,6,5,5]);function Ln(n,e,t,r,o,i,A){const f=2*t,s=t,a=H(e,t*bn,A);let l;l=0===a?o[f+(1&i[s])]:1===a?o[f+(i[s]-1&1)]+1:a-2,l>=n&&(l-=n),r[t]=l,o[f+(1&i[s])]=l,++i[s]}function Fn(n,e){this.alphabet_size=n,this.num_htrees=e,this.codes=new Array(e+e*Cn[n+31>>>5]),this.htrees=new Uint32Array(e)}function Yn(n,e,t){const r=H(n,e,t),{nbits:o}=M[r];return M[r].offset+t.readBits(o)}function Nn(n,e,t){return n<16?(t+=mn[n],e[t&=3]+vn[n]):n-16+1}function Sn(n,e,t,r,o,i){const A=o+1;let f=t&o,s=i.pos_&F.IBUF_MASK;if(e<8||i.bit_pos_+(e<<3)<i.bit_end_pos_){for(;e-- >0;)i.readMoreInput(),r[f++]=i.readBits(8),f===A&&(n.write(r,A),f=0);return}if(i.bit_end_pos_<32)throw new Error("[CopyUncompressedBlockToOutput] br.bit_end_pos_ < 32");for(;i.bit_pos_<32;)r[f]=i.val_>>>i.bit_pos_,i.bit_pos_+=8,f++,e--;let a=i.bit_end_pos_-i.bit_pos_>>3;if(s+a>F.IBUF_MASK){const n=F.IBUF_MASK+1-s;for(let e=0;e<n;e++)r[f+e]=i.buf_[s+e];a-=n,f+=n,e-=n,s=0}for(let n=0;n<a;n++)r[f+n]=i.buf_[s+n];if(f+=a,e-=a,f>=A){n.write(r,A),f-=A;for(let n=0;n<f;n++)r[n]=r[A+n]}for(;f+e>=A;){if(a=A-f,i.input_.read(r,f,a)<a)throw new Error("[CopyUncompressedBlockToOutput] not enough bytes");n.write(r,A),e-=a,f=0}if(i.input_.read(r,f,e)<e)throw new Error("[CopyUncompressedBlockToOutput] not enough bytes");i.reset()}function Tn(n){if(n.readBits(1)){const e=n.readBits(3);return 0===e?1:n.readBits(e)+(1<<e)}return 0}function Rn(){this.meta_block_length=0,this.input_end=0,this.is_uncompressed=0,this.is_metadata=!1}function Wn(n){const e=new Rn;if(e.input_end=n.readBits(1),e.input_end&&n.readBits(1))return e;const t=n.readBits(2)+4;if(7===t){if(e.is_metadata=!0,0!==n.readBits(1))throw new Error("Invalid reserved bit");const t=n.readBits(2);if(0===t)return e;for(let r=0;r<t;r++){const o=n.readBits(8);if(r+1===t&&t>1&&0===o)throw new Error("Invalid size byte");e.meta_block_length|=o<<8*r}}else for(let r=0;r<t;r++){const o=n.readBits(4);if(r+1===t&&t>4&&0===o)throw new Error("Invalid size nibble");e.meta_block_length|=o<<4*r}return e.meta_block_length++,e.input_end||e.is_metadata||(e.is_uncompressed=n.readBits(1)),e}function Pn(n,e){let t=0;e.readMoreInput();const r=Tn(e)+1,o=new Uint8Array(n);if(r<=1)return{num_htrees:r,context_map:o};e.readBits(1)&&(t=e.readBits(4)+1);const i=[];for(let n=0;n<bn;n++)i[n]=new T(0,0);x(r+t,i,0,e);for(let r=0;r<n;){e.readMoreInput();const A=H(i,0,e);if(0===A)o[r]=0,r++;else if(A<=t){let t=1+(1<<A)+e.readBits(A);for(;--t;){if(r>=n)throw new Error("[DecodeContextMap] i >= context_map_size");o[r]=0,r++}}else o[r]=A-t,r++}return e.readBits(1)&&function(n,e){const t=new Uint8Array(256);for(let n=0;n<256;n++)t[n]=n;for(let r=0;r<e;r++){const e=n[r];n[r]=t[e],e&&Dn(t,e)}}(o,n),{num_htrees:r,context_map:o}}function Dn(n,e){const t=n[e];for(let t=e;t;t--)n[t]=n[t-1];n[0]=t}function qn(n){const e=n.bit_pos_+7&-8;return!n.readBits(e-n.bit_pos_)}function xn(n,e,t){let r=t;for(let o=0;o<n.length;){const i=n[o++];let A=i>>4;if(A){let i=A+240;for(;255===i;)A+=i=n[o++];if(e.set(n.subarray(o,o+A),r),r+=A,o+=A,o>=n.length)return r-t}const f=n[o++]|n[o++]<<8;if(!f||f>r)throw new Error(`lz4 offset out of range ${f}`);let s=4+(15&i),a=s+240;for(;255===a;)s+=a=n[o++];let l=r-f;const w=r+s;for(;r<w;)e[r++]=e[l++]}return r-t}Fn.prototype.decode=function(n){let e=0;for(let t=0;t<this.num_htrees;t++)this.htrees[t]=e,e+=x(this.alphabet_size,this.codes,e,n)};const Hn={SNAPPY:function(){const n=function(){const n=atob(Q),e=new Uint8Array(n.length);for(let t=0;t<n.length;t+=1)e[t]=n.charCodeAt(t);const t=new WebAssembly.Module(e);return new WebAssembly.Instance(t)}();return(e,t)=>{const{memory:r,uncompress:o}=n.exports,i=68e3,A=i+e.byteLength,f=i+e.byteLength+t;if(r.buffer.byteLength<f){const n=65536,e=r.buffer.byteLength/n,t=Math.ceil(f/n)-e;r.grow(t)}const s=new Uint8Array(r.buffer);s.set(e,i);const a=o(i,e.byteLength,A);if(-1===a)throw new Error("invalid snappy length header");if(-2===a)throw new Error("missing eof marker");if(-3===a)throw new Error("premature end of input");if(a)throw new Error(`failed to uncompress data ${a}`);return s.slice(A,A+t)}}(),GZIP:(n,e)=>{const t=new Uint8Array(e);return un(n,t),t},BROTLI:function(n,e){const t=new Uint8Array(e);return function(n,e){let t=0,r=0,o=0,i=0;const A=[16,15,11,4];let f=0,s=0,a=0;const l=[new Fn(0,0),new Fn(0,0),new Fn(0,0)],w=128+F.READ_SIZE,u=new F(n);o=function(n){if(0===n.readBits(1))return 16;let e=n.readBits(3);return e>0?17+e:(e=n.readBits(3),e>0?8+e:17)}(u);const c=(1<<o)-16,d=1<<o,g=d-1,h=new Uint8Array(d+w+24),p=d,I=[],E=[];for(let n=0;n<3240;n++)I[n]=new T(0,0),E[n]=new T(0,0);for(;!r;){let n=0;const o=[1<<28,1<<28,1<<28],w=[0],y=[1,1,1],B=[0,1,0,1,0,1],b=[0];let m=0;for(let n=0;n<3;n++)l[n].codes=[],l[n].htrees=new Uint32Array;u.readMoreInput();const v=Wn(u);if(n=v.meta_block_length,t+n>e.buffer.length){const r=new Uint8Array(t+n);r.set(e.buffer),e.buffer=r}if(r=v.input_end,v.is_metadata){for(qn(u);n>0;--n)u.readMoreInput(),u.readBits(8);continue}if(0===n)continue;if(v.is_uncompressed){u.bit_pos_=u.bit_pos_+7&-8,Sn(e,n,t,h,g,u),t+=n;continue}for(let n=0;n<3;n++)y[n]=Tn(u)+1,y[n]>=2&&(x(y[n]+2,I,n*bn,u),x(26,E,n*bn,u),o[n]=Yn(E,n*bn,u),b[n]=1);u.readMoreInput();const C=u.readBits(2),Q=16+(u.readBits(4)<<C),U=(1<<C)-1,L=Q+(48<<C),F=new Uint8Array(y[0]);for(let n=0;n<y[0];n++)u.readMoreInput(),F[n]=u.readBits(2)<<1;const S=Pn(y[0]<<6,u),T=S.num_htrees,{context_map:R}=S,W=Pn(y[2]<<2,u),P=W.num_htrees,D=W.context_map;l[0]=new Fn(256,T),l[1]=new Fn(704,y[1]),l[2]=new Fn(L,P);for(let n=0;n<3;++n)l[n].decode(u);let q=0,G=0,M=F[w[0]],J=N[M],k=N[M+1],z=l[1].htrees[0];for(;n>0;){let r;u.readMoreInput(),0===o[1]&&(Ln(y[1],I,1,w,B,b,u),o[1]=Yn(E,bn,u),z=l[1].htrees[w[1]]),o[1]--;const v=H(l[1].codes,z,u);let L=v>>6;L>=2?(L-=2,r=-1):r=0;const S=O[L]+(v>>3&7),T=K[L]+(7&v),W=V[S].offset+u.readBits(V[S].nbits),P=Z[T].offset+u.readBits(Z[T].nbits);s=h[t-1&g],a=h[t-2&g];for(let n=0;n<W;n++){u.readMoreInput(),0===o[0]&&(Ln(y[0],I,0,w,B,b,u),o[0]=Yn(E,0,u),m=w[0]<<6,q=m,M=F[w[0]],J=N[M],k=N[M+1]);const n=R[q+(Y[J+s]|Y[k+a])];o[0]--,a=s,s=H(l[0].codes,l[0].htrees[n],u),h[t&g]=s,(t&g)===g&&e.write(h,d),t++}if(n-=W,n<=0)break;if(r<0){u.readMoreInput(),0===o[2]&&(Ln(y[2],I,2,w,B,b,u),o[2]=Yn(E,2160,u),G=w[2]<<2),o[2]--;const n=D[G+(255&(P>4?3:P-2))];if(r=H(l[2].codes,l[2].htrees[n],u),r>=Q){r-=Q;const n=r&U;r>>=C;const e=1+(r>>1);r=Q+((2+(1&r)<<e)-4+u.readBits(e)<<C)+n}}const x=Nn(r,A,f);if(x<0)throw new Error("[BrotliDecompress] invalid distance");i=t<c&&i!==c?t:c;let X=t&g;if(x>i){if(!(P>=4&&P<=24))throw new Error("Invalid backward reference");{let r=Qn[P];const o=x-i-1,A=Un[P],f=o>>A;if(r+=(o&(1<<A)-1)*P,!(f<En))throw new Error("Invalid backward reference");{const o=Bn(h,X,r,P,f);if(X+=o,t+=o,n-=o,X>=p){e.write(h,d);for(let n=0;n<X-p;n++)h[n]=h[p+n]}}}}else{if(r>0&&(A[3&f]=x,f++),P>n)throw new Error("Invalid backward reference");for(let r=0;r<P;r++)h[t&g]=h[t-x&g],(t&g)===g&&e.write(h,d),t++,n--}s=h[t-1&g],a=h[t-2&g]}t&=1073741823}e.write(h,t&g)}(new J(n),new k(t)),t},ZSTD:n=>C(n),LZ4:function(n,e){const t=new Uint8Array(e);try{let e=0,r=0;for(;e<n.length-8;){const o=n[e++]<<24|n[e++]<<16|n[e++]<<8|n[e++],i=n[e++]<<24|n[e++]<<16|n[e++]<<8|n[e++];if(n.length-e<i)throw new Error("lz4 not hadoop");if(t.length<o)throw new Error("lz4 not hadoop");if(xn(n.subarray(e,e+i),t,r)!==o)throw new Error("lz4 not hadoop");if(e+=i,r+=o,e===n.length)return t}if(e<n.length)throw new Error("lz4 not hadoop")}catch(e){if(e instanceof Error&&"lz4 not hadoop"!==e.message)throw e;xn(n,t,0)}return t},LZ4_RAW:function(n,e){const t=new Uint8Array(e);return xn(n,t,0),t}},Gn=["BOOLEAN","INT32","INT64","INT96","FLOAT","DOUBLE","BYTE_ARRAY","FIXED_LEN_BYTE_ARRAY"],Mn=["PLAIN",void 0,"PLAIN_DICTIONARY","RLE","BIT_PACKED","DELTA_BINARY_PACKED","DELTA_LENGTH_BYTE_ARRAY","DELTA_BYTE_ARRAY","RLE_DICTIONARY","BYTE_STREAM_SPLIT"],Vn=["REQUIRED","OPTIONAL","REPEATED"],Zn=["UTF8","MAP","MAP_KEY_VALUE","LIST","ENUM","DECIMAL","DATE","TIME_MILLIS","TIME_MICROS","TIMESTAMP_MILLIS","TIMESTAMP_MICROS","UINT_8","UINT_16","UINT_32","UINT_64","INT_8","INT_16","INT_32","INT_64","JSON","BSON","INTERVAL"],On=["UNCOMPRESSED","SNAPPY","GZIP","LZO","BROTLI","LZ4","ZSTD","LZ4_RAW"],Kn=["DATA_PAGE","INDEX_PAGE","DICTIONARY_PAGE","DATA_PAGE_V2"],Jn=864e5;function kn(n,e,t,r,o=!0){if(e&&r.endsWith("_DICTIONARY")){e=zn(e,t,o);let r=n;n instanceof Uint8Array&&!(e instanceof Uint8Array)&&(r=new e.constructor(n.length));for(let t=0;t<n.length;t++)r[t]=e[n[t]];return r}return zn(n,t,o)}function zn(n,e,t=!0){const r=e.converted_type;if("DECIMAL"===r){const t=e.scale||0,r=Math.pow(10,-t),o=new Array(n.length);for(let e=0;e<o.length;e++)n[0]instanceof Uint8Array?o[e]=Xn(n[e])*r:o[e]=Number(n[e])*r;return o}if(void 0===r&&"INT96"===e.type)return Array.from(n).map(jn);if("DATE"===r){const e=new Array(n.length);for(let t=0;t<e.length;t++)e[t]=new Date(n[t]*Jn);return e}if("TIMESTAMP_MILLIS"===r){const e=new Array(n.length);for(let t=0;t<e.length;t++)e[t]=new Date(Number(n[t]));return e}if("TIMESTAMP_MICROS"===r){const e=new Array(n.length);for(let t=0;t<e.length;t++)e[t]=new Date(Number(n[t]/1000n));return e}if("JSON"===r){const e=new TextDecoder;return n.map((n=>JSON.parse(e.decode(n))))}if("BSON"===r)throw new Error("parquet bson not supported");if("INTERVAL"===r)throw new Error("parquet interval not supported");if("UTF8"===r||t&&"BYTE_ARRAY"===e.type){const e=new TextDecoder,t=new Array(n.length);for(let r=0;r<t.length;r++)t[r]=n[r]&&e.decode(n[r]);return t}if("UINT_64"===r){const e=new BigUint64Array(n.length);for(let t=0;t<e.length;t++)e[t]=BigInt(n[t]);return e}if("FLOAT16"===e.logical_type?.type)return Array.from(n).map(_n);if("TIMESTAMP"===e.logical_type?.type){const{unit:t}=e.logical_type;let r=1n;"MICROS"===t&&(r=1000n),"NANOS"===t&&(r=1000000n);const o=new Array(n.length);for(let e=0;e<o.length;e++)o[e]=new Date(Number(n[e]/r));return o}return n}function Xn(n){let e=0;for(const t of n)e=e<<8|t;return e}function jn(n){const e=Number((n>>64n)-2440588n),t=Number((0xffffffffffffffffn&n)/1000000n);return new Date(e*Jn+t)}function _n(n){if(!n)return;const e=n[1]<<8|n[0],t=e>>15?-1:1,r=e>>10&31,o=1023&e;return 0===r?t*Math.pow(2,-14)*(o/1024):31===r?o?NaN:t*(1/0):t*Math.pow(2,r-15)*(1+o/1024)}function $n(n,e,t){const r=n[e],o=[];let i=1;if(r.num_children)for(;o.length<r.num_children;){const r=n[e+i],A=$n(n,e+i,[...t,r.name]);i+=A.count,o.push(A)}return{count:i,element:r,children:o,path:t}}function ne(n,e){let t=$n(n,0,[]);const r=[t];for(const n of e){const o=t.children.find((e=>e.element.name===n));if(!o)throw new Error(`parquet schema element not found: ${e}`);r.push(o),t=o}return r}function ee(n){let e=0;for(const{element:t}of n)"REPEATED"===t.repetition_type&&e++;return e}function te(n){let e=0;for(const{element:t}of n.slice(1))"REQUIRED"!==t.repetition_type&&e++;return e}const re=0,oe=1,ie=2,Ae=3,fe=4,se=5,ae=6,le=7,we=8,ue=9,ce=12,de=13;function ge(n){let e=0;const t={};for(;n.offset<n.view.byteLength;){const[r,o,i]=ye(n,e);if(e=i,r===re)break;t[`field_${o}`]=he(n,r)}return t}function he(n,e){switch(e){case oe:return!0;case ie:return!1;case Ae:return n.view.getInt8(n.offset++);case fe:case se:return function(n){const e=pe(n);return e>>>1^-(1&e)}(n);case ae:return Ie(n);case le:{const e=n.view.getFloat64(n.offset,!0);return n.offset+=8,e}case we:{const e=pe(n),t=new Uint8Array(n.view.buffer,n.view.byteOffset+n.offset,e);return n.offset+=e,t}case ue:{const[e,t]=function(n){const e=n.view.getUint8(n.offset++),t=e>>4,r=Ee(e);if(15===t){return[r,pe(n)]}return[r,t]}(n),r=e===oe||e===ie,o=new Array(t);for(let i=0;i<t;i++)o[i]=r?1===he(n,Ae):he(n,e);return o}case ce:{const e={};let t=0;for(;;){let r,o;if([r,o,t]=ye(n,t),r===re)break;e[`field_${o}`]=he(n,r)}return e}case de:{let e="";for(let t=0;t<16;t++)e+=n.view.getUint8(n.offset++).toString(16).padStart(2,"0");return e}default:throw new Error(`thrift unhandled type: ${e}`)}}function pe(n){let e=0,t=0;for(;;){const r=n.view.getUint8(n.offset++);if(e|=(127&r)<<t,!(128&r))return e;t+=7}}function Ie(n){const e=function(n){let e=0n,t=0n;for(;;){const r=n.view.getUint8(n.offset++);if(e|=BigInt(127&r)<<t,!(128&r))return e;t+=7n}}(n);return e>>BigInt(1)^-(e&BigInt(1))}function Ee(n){return 15&n}function ye(n,e){const t=n.view.getUint8(n.offset++);if((15&t)===re)return[0,0,e];const r=t>>4;let o;if(!r)throw new Error("non-delta field id not supported");return o=e+r,[Ee(t),o,o]}async function Be(n,e=1<<19){if(!n)throw new Error("parquet file is required");if(!(n.byteLength>=0))throw new Error("parquet file byteLength is required");const t=Math.max(0,n.byteLength-e),r=await n.slice(t,n.byteLength),o=new DataView(r);if(827474256!==o.getUint32(r.byteLength-4,!0))throw new Error("parquet file invalid (footer != PAR1)");const i=o.getUint32(r.byteLength-8,!0);if(i>n.byteLength-8)throw new Error(`parquet metadata length ${i} exceeds available buffer ${n.byteLength-8}`);if(i+8>e){const e=n.byteLength-i-8,o=await n.slice(e,t),A=new ArrayBuffer(i+8),f=new Uint8Array(A);return f.set(new Uint8Array(o)),f.set(new Uint8Array(r),t-e),be(A)}return be(r)}function be(n){if(!n)throw new Error("parquet file is required");const e=new DataView(n);if(e.byteLength<8)throw new Error("parquet file is too short");if(827474256!==e.getUint32(e.byteLength-4,!0))throw new Error("parquet file invalid (footer != PAR1)");const t=e.byteLength-8,r=e.getUint32(t,!0);if(r>e.byteLength-8)throw new Error(`parquet metadata length ${r} exceeds available buffer ${e.byteLength-8}`);const o=ge({view:e,offset:t-r}),i=new TextDecoder;function A(n){return n&&i.decode(n)}const f=o.field_1,s=o.field_2.map((n=>({type:Gn[n.field_1],type_length:n.field_2,repetition_type:Vn[n.field_3],name:A(n.field_4),num_children:n.field_5,converted_type:Zn[n.field_6],scale:n.field_7,precision:n.field_8,field_id:n.field_9,logical_type:me(n.field_10)}))),a=s.filter((n=>n.type)),l=o.field_3,w=o.field_4.map((n=>({columns:n.field_1.map(((n,e)=>({file_path:A(n.field_1),file_offset:n.field_2,meta_data:n.field_3&&{type:Gn[n.field_3.field_1],encodings:n.field_3.field_2?.map((n=>Mn[n])),path_in_schema:n.field_3.field_3.map(A),codec:On[n.field_3.field_4],num_values:n.field_3.field_5,total_uncompressed_size:n.field_3.field_6,total_compressed_size:n.field_3.field_7,key_value_metadata:n.field_3.field_8,data_page_offset:n.field_3.field_9,index_page_offset:n.field_3.field_10,dictionary_page_offset:n.field_3.field_11,statistics:Ce(n.field_3.field_12,a[e]),encoding_stats:n.field_3.field_13?.map((n=>({page_type:Kn[n.field_1],encoding:Mn[n.field_2],count:n.field_3}))),bloom_filter_offset:n.field_3.field_14,bloom_filter_length:n.field_3.field_15,size_statistics:n.field_3.field_16&&{unencoded_byte_array_data_bytes:n.field_3.field_16.field_1,repetition_level_histogram:n.field_3.field_16.field_2,definition_level_histogram:n.field_3.field_16.field_3}},offset_index_offset:n.field_4,offset_index_length:n.field_5,column_index_offset:n.field_6,column_index_length:n.field_7,crypto_metadata:n.field_7,encrypted_column_metadata:n.field_8}))),total_byte_size:n.field_2,num_rows:n.field_3,sorting_columns:n.field_4?.map((n=>({column_idx:n.field_1,descending:n.field_2,nulls_first:n.field_3}))),file_offset:n.field_5,total_compressed_size:n.field_6,ordinal:n.field_7}))),u=o.field_5?.map((n=>({key:A(n.field_1),value:A(n.field_2)})));return{version:f,schema:s,num_rows:l,row_groups:w,key_value_metadata:u,created_by:A(o.field_6),metadata_length:r}}function me(n){return n?.field_1?{type:"STRING"}:n?.field_2?{type:"MAP"}:n?.field_3?{type:"LIST"}:n?.field_4?{type:"ENUM"}:n?.field_5?{type:"DECIMAL",scale:n.field_5.field_1,precision:n.field_5.field_2}:n?.field_6?{type:"DATE"}:n?.field_7?{type:"TIME",isAdjustedToUTC:n.field_7.field_1,unit:ve(n.field_7.field_2)}:n?.field_8?{type:"TIMESTAMP",isAdjustedToUTC:n.field_8.field_1,unit:ve(n.field_8.field_2)}:n?.field_10?{type:"INTEGER",bitWidth:n.field_10.field_1,isSigned:n.field_10.field_2}:n?.field_11?{type:"NULL"}:n?.field_12?{type:"JSON"}:n?.field_13?{type:"BSON"}:n?.field_14?{type:"UUID"}:n?.field_15?{type:"FLOAT16"}:n}function ve(n){if(n.field_1)return"MILLIS";if(n.field_2)return"MICROS";if(n.field_3)return"NANOS";throw new Error("parquet time unit required")}function Ce(n,e){return n&&{max:Qe(n.field_1,e),min:Qe(n.field_2,e),null_count:n.field_3,distinct_count:n.field_4,max_value:Qe(n.field_5,e),min_value:Qe(n.field_6,e),is_max_value_exact:n.field_7,is_min_value_exact:n.field_8}}function Qe(n,e){const{type:t,converted_type:r,logical_type:o}=e;if(void 0===n)return n;if("BOOLEAN"===t)return 1===n[0];if("BYTE_ARRAY"===t)return(new TextDecoder).decode(n);const i=new DataView(n.buffer,n.byteOffset,n.byteLength);return"FLOAT"===t&&4===i.byteLength?i.getFloat32(0,!0):"DOUBLE"===t&&8===i.byteLength?i.getFloat64(0,!0):"INT32"===t&&"DATE"===r?new Date(864e5*i.getInt32(0,!0)):"INT64"===t&&"TIMESTAMP_MICROS"===r?new Date(Number(i.getBigInt64(0,!0)/1000n)):"INT64"===t&&"TIMESTAMP_MILLIS"===r||"INT64"===t&&"TIMESTAMP"===o?.type?new Date(Number(i.getBigInt64(0,!0))):"INT32"===t&&4===i.byteLength?i.getInt32(0,!0):"INT64"===t&&8===i.byteLength?i.getBigInt64(0,!0):"DECIMAL"===r?Xn(n)*Math.pow(10,-(e.scale||0)):"FLOAT16"===o?.type?_n(n):n}function Ue(n,e,t,r,o,i){const A=e?.length||t.length;let f=0;const s=[n];let a=n,l=0,w=0,u=0;if(t[0])for(;l<o.length-2&&u<t[0];)a=a.at(-1),s.push(a),l++,"REQUIRED"!==o[l]&&w++,"REPEATED"===o[l]&&u++;for(let n=0;n<A;n++){const A=e?.length?e[n]:i,c=t[n];for(;l&&(c<u||"REPEATED"!==o[l]);)"REQUIRED"!==o[l]&&(s.pop(),w--),"REPEATED"===o[l]&&u--,l--;for(a=s.at(-1);(l<o.length-2||"REPEATED"===o[l+1])&&(w<A||"REQUIRED"===o[l+1]);){if(l++,"REQUIRED"!==o[l]){const n=[];a.push(n),a=n,s.push(n),w++}"REPEATED"===o[l]&&u++}A===i?a.push(r[f++]):l===o.length-2?a.push(null):a.push([])}if(!n.length)for(let n=0;n<i;n++){const n=[];a.push(n),a=n}return n}function Le(n,e,t=0){const r=e.path.join("."),o="OPTIONAL"===e.element.repetition_type,i=o?t+1:t;if(function(n){if(!n)return!1;if("LIST"!==n.element.converted_type)return!1;if(n.children.length>1)return!1;const e=n.children[0];return!(e.children.length>1)&&"REPEATED"===e.element.repetition_type}(e)){let A=e.children[0],f=i;1===A.children.length&&(A=A.children[0],f++),Le(n,A,f);const s=A.path.join("."),a=n.get(s);if(!a)throw new Error("parquet list column missing values");return o&&Fe(a,t),n.set(r,a),void n.delete(s)}if(function(n){if(!n)return!1;if("MAP"!==n.element.converted_type)return!1;if(n.children.length>1)return!1;const e=n.children[0];if(2!==e.children.length)return!1;if("REPEATED"!==e.element.repetition_type)return!1;const t=e.children.find((n=>"key"===n.element.name));if("REPEATED"===t?.element.repetition_type)return!1;const r=e.children.find((n=>"value"===n.element.name));return"REPEATED"!==r?.element.repetition_type}(e)){const A=e.children[0].element.name;Le(n,e.children[0].children[0],i+1),Le(n,e.children[0].children[1],i+1);const f=n.get(`${r}.${A}.key`),s=n.get(`${r}.${A}.value`);if(!f)throw new Error("parquet map column missing keys");if(!s)throw new Error("parquet map column missing values");if(f.length!==s.length)throw new Error("parquet map column key/value length mismatch");const a=Ye(f,s,i);return o&&Fe(a,t),n.delete(`${r}.${A}.key`),n.delete(`${r}.${A}.value`),void n.set(r,a)}if(e.children.length){const i="REQUIRED"===e.element.repetition_type?t:t+1,A={};for(const t of e.children){Le(n,t,i);const e=n.get(t.path.join("."));if(!e)throw new Error("parquet struct missing child data");A[t.element.name]=e}for(const t of e.children)n.delete(t.path.join("."));const f=Ne(A,i);o&&Fe(f,t),n.set(r,f)}}function Fe(n,e){for(let t=0;t<n.length;t++)e?Fe(n[t],e-1):n[t]=n[t][0]}function Ye(n,e,t){const r=[];for(let o=0;o<n.length;o++)if(t)r.push(Ye(n[o],e[o],t-1));else if(n[o]){const t={};for(let r=0;r<n[o].length;r++){const i=e[o][r];t[n[o][r]]=void 0===i?null:i}r.push(t)}else r.push(void 0);return r}function Ne(n,e){const t=Object.keys(n),r=n[t[0]]?.length,o=[];for(let i=0;i<r;i++){const A={};for(const e of t){if(n[e].length!==r)throw new Error("parquet struct parsing error");A[e]=n[e][i]}e?o.push(Ne(A,e-1)):o.push(A)}return o}function Se(n){return 32-Math.clz32(n)}function Te(n,e,t,r){t||(n.offset+=4);let o=0;for(;o<r.length;){const t=pe(n);if(1&t)o=We(n,t,e,r,o);else{const i=t>>>1;Re(n,i,e,r,o),o+=i}}}function Re(n,e,t,r,o){const i=t+7>>3;let A=0;for(let e=0;e<i;e++)A|=n.view.getUint8(n.offset++)<<(e<<3);for(let n=0;n<e;n++)r[o+n]=A}function We(n,e,t,r,o){let i=e>>1<<3;const A=(1<<t)-1;let f=0;if(n.offset<n.view.byteLength)f=n.view.getUint8(n.offset++);else if(A)throw new Error(`parquet bitpack offset ${n.offset} out of range`);let s=8,a=0;for(;i;)a>8?(a-=8,s-=8,f>>>=8):s-a<t?(f|=n.view.getUint8(n.offset)<<s,n.offset++,s+=8):(o<r.length&&(r[o++]=f>>a&A),i--,a+=t);return o}function Pe(n,e,t,r){const o=function(n,e){switch(n){case"INT32":case"FLOAT":return 4;case"INT64":case"DOUBLE":return 8;case"FIXED_LEN_BYTE_ARRAY":if(!e)throw new Error("parquet byteWidth missing type_length");return e;default:throw new Error(`parquet unsupported type: ${n}`)}}(t,r),i=new Uint8Array(e*o);for(let t=0;t<o;t++)for(let r=0;r<e;r++)i[r*o+t]=n.view.getUint8(n.offset++);if("FLOAT"===t)return new Float32Array(i.buffer);if("DOUBLE"===t)return new Float64Array(i.buffer);if("INT32"===t)return new Int32Array(i.buffer);if("INT64"===t)return new BigInt64Array(i.buffer);if("FIXED_LEN_BYTE_ARRAY"===t){const n=new Array(e);for(let t=0;t<e;t++)n[t]=i.subarray(t*o,(t+1)*o);return n}throw new Error(`parquet byte_stream_split unsupported type: ${t}`)}function De(n,e,t,r){if(0===t)return[];if("BOOLEAN"===e)return function(n,e){const t=new Array(e);for(let r=0;r<e;r++){const e=n.offset+(r/8|0),o=r%8,i=n.view.getUint8(e);t[r]=!!(i&1<<o)}return n.offset+=Math.ceil(e/8),t}(n,t);if("INT32"===e)return function(n,e){const t=(n.view.byteOffset+n.offset)%4?new Int32Array(qe(n.view.buffer,n.view.byteOffset+n.offset,4*e)):new Int32Array(n.view.buffer,n.view.byteOffset+n.offset,e);return n.offset+=4*e,t}(n,t);if("INT64"===e)return function(n,e){const t=(n.view.byteOffset+n.offset)%8?new BigInt64Array(qe(n.view.buffer,n.view.byteOffset+n.offset,8*e)):new BigInt64Array(n.view.buffer,n.view.byteOffset+n.offset,e);return n.offset+=8*e,t}(n,t);if("INT96"===e)return function(n,e){const t=new Array(e);for(let r=0;r<e;r++){const e=n.view.getBigInt64(n.offset+12*r,!0),o=n.view.getInt32(n.offset+12*r+8,!0);t[r]=BigInt(o)<<64n|e}return n.offset+=12*e,t}(n,t);if("FLOAT"===e)return function(n,e){const t=(n.view.byteOffset+n.offset)%4?new Float32Array(qe(n.view.buffer,n.view.byteOffset+n.offset,4*e)):new Float32Array(n.view.buffer,n.view.byteOffset+n.offset,e);return n.offset+=4*e,t}(n,t);if("DOUBLE"===e)return function(n,e){const t=(n.view.byteOffset+n.offset)%8?new Float64Array(qe(n.view.buffer,n.view.byteOffset+n.offset,8*e)):new Float64Array(n.view.buffer,n.view.byteOffset+n.offset,e);return n.offset+=8*e,t}(n,t);if("BYTE_ARRAY"===e)return function(n,e){const t=new Array(e);for(let r=0;r<e;r++){const e=n.view.getInt32(n.offset,!0);n.offset+=4,t[r]=new Uint8Array(n.view.buffer,n.view.byteOffset+n.offset,e),n.offset+=e}return t}(n,t);if("FIXED_LEN_BYTE_ARRAY"===e){if(!r)throw new Error("parquet missing fixed length");return function(n,e,t){const r=new Array(e);for(let o=0;o<e;o++)r[o]=new Uint8Array(n.view.buffer,n.view.byteOffset+n.offset,t),n.offset+=t;return r}(n,t,r)}throw new Error(`parquet unhandled type: ${e}`)}function qe(n,e,t){const r=new ArrayBuffer(t);return new Uint8Array(r).set(new Uint8Array(n,e,t)),r}const xe=[0,255,65535,16777215,4294967295];function He(n,e,t,r,o){for(let i=0;i<o;i++)t[r+i]=n[e+i]}function Ge(n,e,t,r){for(let o=0;o<r;o++)n[e+o]=n[e-t+o]}function Me(n,e,t,{type:r}){const o=new DataView(n.buffer,n.byteOffset,n.byteLength),i={view:o,offset:0};let A;const f=function(n,e,t){if(t.length>1){const r=ee(t);if(r){const t=new Array(e.num_values);return Te(n,Se(r),0,t),t}}return[]}(i,e,t),{definitionLevels:s,numNulls:a}=function(n,e,t){const r=te(t);if(!r)return{definitionLevels:[],numNulls:0};const o=new Array(e.num_values);Te(n,Se(r),0,o);let i=e.num_values;for(const n of o)n===r&&i--;0===i&&(o.length=0);return{definitionLevels:o,numNulls:i}}(i,e,t),l=e.num_values-a;if("PLAIN"===e.encoding){const{type_length:n}=t[t.length-1].element;A=De(i,r,l,n)}else if("PLAIN_DICTIONARY"===e.encoding||"RLE_DICTIONARY"===e.encoding||"RLE"===e.encoding){const n="BOOLEAN"===r?1:o.getUint8(i.offset++);n?(A=new Array(l),Te(i,n,o.byteLength-i.offset,A)):A=new Uint8Array(l)}else{if("BYTE_STREAM_SPLIT"!==e.encoding)throw new Error(`parquet unsupported encoding: ${e.encoding}`);{const{type_length:n}=t[t.length-1].element;A=Pe(i,l,r,n)}}return{definitionLevels:s,repetitionLevels:f,dataPage:A}}function Ve(n,e,t,r){return De({view:new DataView(n.buffer,n.byteOffset,n.byteLength),offset:0},t.type,e.num_values,r)}function Ze(n,e,t,r){let o;const i=r?.[t];if("UNCOMPRESSED"===t)o=n;else if(i)o=i(n,e);else{if("SNAPPY"!==t)throw new Error(`parquet unsupported compression codec: ${t}`);o=new Uint8Array(e),function(n,e){const t=n.byteLength,r=e.byteLength;let o=0,i=0;for(;o<t;){const e=n[o];if(o++,e<128)break}if(r&&o>=t)throw new Error("invalid snappy length header");for(;o<t;){const r=n[o];let A=0;if(o++,o>=t)throw new Error("missing eof marker");if(3&r){let f=0;switch(3&r){case 1:A=4+(r>>>2&7),f=n[o]+(r>>>5<<8),o++;break;case 2:if(t<=o+1)throw new Error("snappy error end of input");A=1+(r>>>2),f=n[o]+(n[o+1]<<8),o+=2;break;case 3:if(t<=o+3)throw new Error("snappy error end of input");A=1+(r>>>2),f=n[o]+(n[o+1]<<8)+(n[o+2]<<16)+(n[o+3]<<24),o+=4}if(0===f||isNaN(f))throw new Error(`invalid offset ${f} pos ${o} inputLength ${t}`);if(f>i)throw new Error("cannot copy from before start of buffer");Ge(e,i,f,A),i+=A}else{let A=1+(r>>>2);if(A>60){if(o+3>=t)throw new Error("snappy error literal pos + 3 >= inputLength");const e=A-60;A=n[o]+(n[o+1]<<8)+(n[o+2]<<16)+(n[o+3]<<24),A=1+(A&xe[e]),o+=e}if(o+A>t)throw new Error("snappy error literal exceeds input length");He(n,o,e,i,A),o+=A,i+=A}}if(i!==r)throw new Error("premature end of input")}(n,o)}if(o?.length!==e)throw new Error(`parquet decompressed page length ${o?.length} does not match header ${e}`);return o}function Oe(n,e,t){const r=t instanceof Int32Array,o=pe(n),i=pe(n);pe(n);let A=Ie(n),f=0;t[f++]=r?Number(A):A;const s=o/i;for(;f<e;){const o=Ie(n),a=new Uint8Array(i);for(let e=0;e<i;e++)a[e]=n.view.getUint8(n.offset++);for(let l=0;l<i&&f<e;l++){const i=BigInt(a[l]);if(i){let a=0n,l=s;const w=(1n<<i)-1n;for(;l&&f<e;){let e=BigInt(n.view.getUint8(n.offset))>>a&w;for(a+=i;a>=8;)a-=8n,n.offset++,a&&(e|=BigInt(n.view.getUint8(n.offset))<<i-a&w);A+=o+e,t[f++]=r?Number(A):A,l--}l&&(n.offset+=Math.ceil((l*Number(i)+Number(a))/8))}else for(let n=0;n<s&&f<e;n++)A+=o,t[f++]=r?Number(A):A}}}function Ke(n,e,t,r,o){const i={view:new DataView(n.buffer,n.byteOffset,n.byteLength),offset:0},{codec:A,type:f}=r,s=e.data_page_header_v2;if(!s)throw new Error("parquet data page header v2 is undefined");const a=function(n,e,t){const r=ee(t);if(!r)return[];const o=new Array(e.num_values);return Te(n,Se(r),e.repetition_levels_byte_length,o),o}(i,s,t);i.offset=s.repetition_levels_byte_length;const l=function(n,e,t){const r=te(t);if(r){const t=new Array(e.num_values);return Te(n,Se(r),e.definition_levels_byte_length,t),t}}(i,s,t),w=e.uncompressed_page_size-s.definition_levels_byte_length-s.repetition_levels_byte_length;let u=n.subarray(i.offset);!1!==s.is_compressed&&(u=Ze(u,w,A,o));const c=new DataView(u.buffer,u.byteOffset,u.byteLength),d={view:c,offset:0};let g;const h=s.num_values-s.num_nulls;if("PLAIN"===s.encoding){const{type_length:n}=t[t.length-1].element;g=De(d,f,h,n)}else if("RLE"===s.encoding)g=new Array(h),Te(d,1,0,g),g=g.map((n=>!!n));else if("PLAIN_DICTIONARY"===s.encoding||"RLE_DICTIONARY"===s.encoding){const n=c.getUint8(d.offset++);g=new Array(h),Te(d,n,w-1,g)}else if("DELTA_BINARY_PACKED"===s.encoding){g="INT32"===f?new Int32Array(h):new BigInt64Array(h),Oe(d,h,g)}else if("DELTA_LENGTH_BYTE_ARRAY"===s.encoding)g=new Array(h),function(n,e,t){const r=new Int32Array(e);Oe(n,e,r);for(let o=0;o<e;o++)t[o]=new Uint8Array(n.view.buffer,n.view.byteOffset+n.offset,r[o]),n.offset+=r[o]}(d,h,g);else if("DELTA_BYTE_ARRAY"===s.encoding)g=new Array(h),function(n,e,t){const r=new Int32Array(e);Oe(n,e,r);const o=new Int32Array(e);Oe(n,e,o);for(let i=0;i<e;i++){const e=new Uint8Array(n.view.buffer,n.view.byteOffset+n.offset,o[i]);r[i]?(t[i]=new Uint8Array(r[i]+o[i]),t[i].set(t[i-1].subarray(0,r[i])),t[i].set(e,r[i])):t[i]=e,n.offset+=o[i]}}(d,h,g);else{if("BYTE_STREAM_SPLIT"!==s.encoding)throw new Error(`parquet unsupported encoding: ${s.encoding}`);{const{type_length:n}=t[t.length-1].element;g=Pe(i,h,f,n)}}return{definitionLevels:l,repetitionLevels:a,dataPage:g}}function Je(n){const e=ge(n);return{type:Kn[e.field_1],uncompressed_page_size:e.field_2,compressed_page_size:e.field_3,crc:e.field_4,data_page_header:e.field_5&&{num_values:e.field_5.field_1,encoding:Mn[e.field_5.field_2],definition_level_encoding:Mn[e.field_5.field_3],repetition_level_encoding:Mn[e.field_5.field_4],statistics:e.field_5.field_5&&{max:e.field_5.field_5.field_1,min:e.field_5.field_5.field_2,null_count:e.field_5.field_5.field_3,distinct_count:e.field_5.field_5.field_4,max_value:e.field_5.field_5.field_5,min_value:e.field_5.field_5.field_6}},index_page_header:e.field_6,dictionary_page_header:e.field_7&&{num_values:e.field_7.field_1,encoding:Mn[e.field_7.field_2],is_sorted:e.field_7.field_3},data_page_header_v2:e.field_8&&{num_values:e.field_8.field_1,num_nulls:e.field_8.field_2,num_rows:e.field_8.field_3,encoding:Mn[e.field_8.field_4],definition_levels_byte_length:e.field_8.field_5,repetition_levels_byte_length:e.field_8.field_6,is_compressed:void 0===e.field_8.field_7||e.field_8.field_7,statistics:e.field_8.field_8}}}function ke(n,e){for(let t=0;t<e.length;t+=1e4)n.push(...e.slice(t,t+1e4))}async function ze(n,e){return e||=await async function(n){return await fetch(n,{method:"HEAD"}).then((n=>{if(!n.ok)throw new Error(`fetch head failed ${n.status}`);const e=n.headers.get("Content-Length");if(!e)throw new Error("missing content length");return parseInt(e)}))}(n),{byteLength:e,async slice(e,t){const r=new Headers,o=void 0===t?"":t-1;r.set("Range",`bytes=${e}-${o}`);const i=await fetch(n,{headers:r});if(!i.ok||!i.body)throw new Error(`fetch failed ${i.status}`);return i.arrayBuffer()}}}function Xe(n,e,t,r,{compressors:o,utf8:i}){const{element:A}=r[r.length-1];let f;const s=[];for(;s.length<e;){const e=Je(n),a=new Uint8Array(n.view.buffer,n.view.byteOffset+n.offset,e.compressed_page_size);let l;if("DATA_PAGE"===e.type){const n=e.data_page_header;if(!n)throw new Error("parquet data page header is undefined");const w=Ze(a,Number(e.uncompressed_page_size),t.codec,o),{definitionLevels:u,repetitionLevels:c,dataPage:d}=Me(w,n,r,t);if(l=kn(d,f,A,n.encoding,i),c.length||u?.length){const n=te(r),e=r.map((({element:n})=>n.repetition_type));Ue(s,u,c,l,e,n)}else{for(let n=2;n<r.length;n++)"REQUIRED"!==r[n].element.repetition_type&&(l=Array.from(l,(n=>[n])));ke(s,l)}}else if("DATA_PAGE_V2"===e.type){const n=e.data_page_header_v2;if(!n)throw new Error("parquet data page header v2 is undefined");const{definitionLevels:w,repetitionLevels:u,dataPage:c}=Ke(a,e,r,t,o);if(l=kn(c,f,A,n.encoding,i),u.length||w?.length){const n=te(r),e=r.map((({element:n})=>n.repetition_type));Ue(s,w,u,l,e,n)}else ke(s,l)}else{if("DICTIONARY_PAGE"!==e.type)throw new Error(`parquet unsupported page type: ${e.type}`);{const n=e.dictionary_page_header;if(!n)throw new Error("parquet dictionary page header is undefined");f=Ve(Ze(a,Number(e.uncompressed_page_size),t.codec,o),n,t,A.type_length)}}n.offset+=e.compressed_page_size}if(s.length<e)throw new Error(`parquet row data length ${s.length} does not match row group limit ${e}}`);return s.length>e&&(s.length=e),s}function je({dictionary_page_offset:n,data_page_offset:e,total_compressed_size:t}){let r=n;return(!r||e<r)&&(r=e),[r,r+t]}async function _e(n,e,t,r){const{file:o,metadata:i,columns:A}=n;if(!i)throw new Error("parquet metadata not found");(void 0===r||r>e.num_rows)&&(r=Number(e.num_rows));let f,[s,a]=[o.byteLength,0];if(e.columns.forEach((({meta_data:n})=>{if(!n)throw new Error("parquet column metadata is undefined");if(A&&!A.includes(n.path_in_schema[0]))return;const[e,t]=je(n).map(Number);s=Math.min(s,e),a=Math.max(a,t)})),s>=a&&A?.length)throw new Error(`parquet columns not found: ${A.join(", ")}`);a-s<=1<<25&&(f=await o.slice(s,a));const l=[],{children:w}=ne(i.schema,[])[0],u=new Map(w.map((n=>[n.element.name,$e(n)]))),c=new Map;for(let a=0;a<e.columns.length;a++){const w=e.columns[a].meta_data;if(!w)throw new Error("parquet column metadata is undefined");const d=w.path_in_schema[0];if(A&&!A.includes(d))continue;const[g,h]=je(w).map(Number),p=h-g;if(p>1<<30){console.warn(`parquet skipping huge column "${w.path_in_schema}" ${p.toLocaleString()} bytes`);continue}let I,E=0;f?(I=Promise.resolve(f),E=g-s):I=Promise.resolve(o.slice(g,h)),l.push(I.then((e=>{const o=ne(i.schema,w.path_in_schema);let A=Xe({view:new DataView(e),offset:E},r,w,o,n);const f=w.path_in_schema.join(".");c.set(f,A),A=void 0;const s=u.get(d);if(s?.every((n=>c.has(n)))&&(Le(c,o[1]),A=c.get(d),!A))throw new Error(`parquet column data not assembled: ${d}`);A&&n.onChunk?.({columnName:d,columnData:A,rowStart:t,rowEnd:t+A.length})})))}if(await Promise.all(l),n.onComplete){const e=new Array(r),t=w.map((n=>n.element.name)).filter((n=>!A||A.includes(n))),o=A||t,i=o.map((n=>t.includes(n)?c.get(n):void 0));for(let t=0;t<r;t++)if("object"===n.rowFormat){const n={};o.forEach(((e,r)=>{n[e]=i[r]?.[t]})),e[t]=n}else e[t]=i.map((n=>n?.[t]));return e}return[]}function $e(n,e=[]){if(n.children.length)for(const t of n.children)$e(t,e);else e.push(n.path.join("."));return e}function nt(n){return new Promise(((e,t)=>{(async function(n){if(!n.file)throw new Error("parquet file is required");if(n.metadata||=await Be(n.file),!n.metadata)throw new Error("parquet metadata not found");const{metadata:e,onComplete:t,rowEnd:r}=n,o=n.rowStart||0,i=[];let A=0;for(const f of e.row_groups){const e=Number(f.num_rows);if(A+e>=o&&(void 0===r||A<r)){const e=r&&r-A,s=await _e(n,f,A,e);if(t){const n=Math.max(o-A,0),e=void 0===r?void 0:r-A;ke(i,s.slice(n,e))}}A+=e}t&&t(i)})({rowFormat:"object",...n,onComplete:e}).catch(t)}))}async function et(n){const{file:e,rowStart:t,rowEnd:r,orderBy:o}=n;if(n.metadata||=await Be(e),"string"==typeof o){const e=await nt({...n,rowStart:void 0,rowEnd:void 0,columns:[o]}),i=Array.from(e,((n,e)=>e)).sort(((n,t)=>function(n,e){return n<e?-1:1}(e[n][o],e[t][o]))).slice(t,r),A=await async function(n){const{file:e,rows:t}=n;n.metadata||=await Be(e);const{row_groups:r}=n.metadata,o=Array(r.length).fill(!1);let i=0;const A=r.map((n=>i+=Number(n.num_rows)));for(const n of t){o[A.findIndex((e=>n<e))]=!0}const f=[];let s;i=0;for(let n=0;n<o.length;n++){const e=i+Number(r[n].num_rows);o[n]?void 0===s&&(s=i):void 0!==s&&(f.push([s,e]),s=void 0),i=e}void 0!==s&&f.push([s,i]);const a=new Array(Number(n.metadata.num_rows));for(const[e,t]of f){const r=await nt({...n,rowStart:e,rowEnd:t});for(let n=e;n<t;n++)a[n]=r[n-e],a[n].__index__=n}return a}({...n,rows:i});return i.map((n=>A[n]))}return await nt(n)}self.onmessage=async({data:n})=>{const{metadata:e,asyncBuffer:t,rowStart:r,rowEnd:o,orderBy:i}=n,A=await async function(n){return"url"in n?ze(n.url):n.file.arrayBuffer()}(t);try{const n=await et({metadata:e,file:A,rowStart:r,rowEnd:o,orderBy:i,compressors:Hn});self.postMessage({result:n})}catch(n){self.postMessage({error:n})}}}));
//# sourceMappingURL=worker.min.js.map